california-equity-git/initial_view/overview_hypotesting_20241031.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Project: California Equity\n",
    "## File: initial_view/overview_hypotesting_20241031.ipynb\n",
    "### Author: David P. Adams\n",
    "### Date: 2024-10-31\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing the necessary libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "## set directory\n",
    "import os\n",
    "os.chdir('/home/dadams/Repos/california_equity_git')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read in the data\n",
    "data = pd.read_csv('data_raw/cci_programs_data.csv', low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "columns_data = pd.DataFrame(data.columns)\n",
    "\n",
    "# export the 'DataFrame' to a csv file\n",
    "columns_data.to_csv('data_raw/columns.csv', index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# check the data types\n",
    "data.dtypes\n",
    "\n",
    "# save the data types to a csv file\n",
    "data.dtypes.to_csv('data_raw/data_types.csv', header = False)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Census Tract</th>\n",
       "      <th>Total Project Cost</th>\n",
       "      <th>Total Program GGRFFunding</th>\n",
       "      <th>Total Project GHGReductions</th>\n",
       "      <th>Annual Project GHGReductions</th>\n",
       "      <th>Project Count</th>\n",
       "      <th>Total GGRFDisadvantaged Community Funding</th>\n",
       "      <th>Funding Benefiting Disadvantaged Communities</th>\n",
       "      <th>Estimated Num Vehicles In Service</th>\n",
       "      <th>Funding Within Disadvantage Communities</th>\n",
       "      <th>...</th>\n",
       "      <th>Indirect Jobs Fte</th>\n",
       "      <th>Induced Jobs Fte</th>\n",
       "      <th>Compost  Produced Tons</th>\n",
       "      <th>Compost  Produced Tons  Yr</th>\n",
       "      <th>Net Density  DUA</th>\n",
       "      <th>Applicants  Assisted</th>\n",
       "      <th>Invasive Cover 12 Months</th>\n",
       "      <th>Invasive Cover 36 Months</th>\n",
       "      <th>Project Acreage</th>\n",
       "      <th>Intermediary Admin Expenses Calc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.193700e+05</td>\n",
       "      <td>1.414290e+05</td>\n",
       "      <td>1.414290e+05</td>\n",
       "      <td>1.414290e+05</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>5.518700e+04</td>\n",
       "      <td>55187.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>5.518700e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.0</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>141429.000000</td>\n",
       "      <td>1.414290e+05</td>\n",
       "      <td>1.414290e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.053889e+09</td>\n",
       "      <td>9.206412e+05</td>\n",
       "      <td>7.791664e+04</td>\n",
       "      <td>7.717972e+02</td>\n",
       "      <td>0.205389</td>\n",
       "      <td>4.090872</td>\n",
       "      <td>2.736820e+04</td>\n",
       "      <td>110.217551</td>\n",
       "      <td>0.047331</td>\n",
       "      <td>2.030028e+04</td>\n",
       "      <td>...</td>\n",
       "      <td>0.064567</td>\n",
       "      <td>0.117056</td>\n",
       "      <td>0.440977</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.082260</td>\n",
       "      <td>0.019642</td>\n",
       "      <td>0.010656</td>\n",
       "      <td>0.010578</td>\n",
       "      <td>9.771087e+00</td>\n",
       "      <td>1.911114e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.641870e+07</td>\n",
       "      <td>3.736191e+07</td>\n",
       "      <td>1.011645e+06</td>\n",
       "      <td>2.371604e+04</td>\n",
       "      <td>3.361723</td>\n",
       "      <td>18.381861</td>\n",
       "      <td>6.327936e+05</td>\n",
       "      <td>1738.772195</td>\n",
       "      <td>1.972262</td>\n",
       "      <td>5.590536e+05</td>\n",
       "      <td>...</td>\n",
       "      <td>1.444316</td>\n",
       "      <td>2.261146</td>\n",
       "      <td>45.712955</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.382593</td>\n",
       "      <td>1.406914</td>\n",
       "      <td>0.758250</td>\n",
       "      <td>0.757677</td>\n",
       "      <td>3.669526e+03</td>\n",
       "      <td>1.196317e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.001400e+09</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>-2.785930e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.037271e+09</td>\n",
       "      <td>4.000000e+03</td>\n",
       "      <td>3.500000e+03</td>\n",
       "      <td>8.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.059022e+09</td>\n",
       "      <td>8.000000e+03</td>\n",
       "      <td>7.500000e+03</td>\n",
       "      <td>1.500000e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.073016e+09</td>\n",
       "      <td>2.150000e+04</td>\n",
       "      <td>1.900000e+04</td>\n",
       "      <td>4.000000e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.500000e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.500000e+03</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.115041e+09</td>\n",
       "      <td>5.767700e+09</td>\n",
       "      <td>1.412670e+08</td>\n",
       "      <td>4.748924e+06</td>\n",
       "      <td>336.000000</td>\n",
       "      <td>2072.000000</td>\n",
       "      <td>6.443700e+07</td>\n",
       "      <td>102348.000000</td>\n",
       "      <td>503.000000</td>\n",
       "      <td>6.443700e+07</td>\n",
       "      <td>...</td>\n",
       "      <td>110.170000</td>\n",
       "      <td>151.000000</td>\n",
       "      <td>10365.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>706.000000</td>\n",
       "      <td>320.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>85.000000</td>\n",
       "      <td>1.380000e+06</td>\n",
       "      <td>2.000000e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 82 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Census Tract  Total Project Cost  Total Program GGRFFunding  \\\n",
       "count  1.193700e+05        1.414290e+05               1.414290e+05   \n",
       "mean   6.053889e+09        9.206412e+05               7.791664e+04   \n",
       "std    2.641870e+07        3.736191e+07               1.011645e+06   \n",
       "min    6.001400e+09        0.000000e+00               0.000000e+00   \n",
       "25%    6.037271e+09        4.000000e+03               3.500000e+03   \n",
       "50%    6.059022e+09        8.000000e+03               7.500000e+03   \n",
       "75%    6.073016e+09        2.150000e+04               1.900000e+04   \n",
       "max    6.115041e+09        5.767700e+09               1.412670e+08   \n",
       "\n",
       "       Total Project GHGReductions  Annual Project GHGReductions  \\\n",
       "count                 1.414290e+05                 141429.000000   \n",
       "mean                  7.717972e+02                      0.205389   \n",
       "std                   2.371604e+04                      3.361723   \n",
       "min                  -2.785930e+05                      0.000000   \n",
       "25%                   8.000000e+00                      0.000000   \n",
       "50%                   1.500000e+01                      0.000000   \n",
       "75%                   4.000000e+01                      0.000000   \n",
       "max                   4.748924e+06                    336.000000   \n",
       "\n",
       "       Project Count  Total GGRFDisadvantaged Community Funding  \\\n",
       "count  141429.000000                               5.518700e+04   \n",
       "mean        4.090872                               2.736820e+04   \n",
       "std        18.381861                               6.327936e+05   \n",
       "min         0.000000                               0.000000e+00   \n",
       "25%         1.000000                               0.000000e+00   \n",
       "50%         1.000000                               0.000000e+00   \n",
       "75%         3.000000                               5.500000e+03   \n",
       "max      2072.000000                               6.443700e+07   \n",
       "\n",
       "       Funding Benefiting Disadvantaged Communities  \\\n",
       "count                                  55187.000000   \n",
       "mean                                     110.217551   \n",
       "std                                     1738.772195   \n",
       "min                                        0.000000   \n",
       "25%                                        0.000000   \n",
       "50%                                        0.000000   \n",
       "75%                                        0.000000   \n",
       "max                                   102348.000000   \n",
       "\n",
       "       Estimated Num Vehicles In Service  \\\n",
       "count                      141429.000000   \n",
       "mean                            0.047331   \n",
       "std                             1.972262   \n",
       "min                             0.000000   \n",
       "25%                             0.000000   \n",
       "50%                             0.000000   \n",
       "75%                             0.000000   \n",
       "max                           503.000000   \n",
       "\n",
       "       Funding Within Disadvantage Communities  ...  Indirect Jobs Fte  \\\n",
       "count                             5.518700e+04  ...      141429.000000   \n",
       "mean                              2.030028e+04  ...           0.064567   \n",
       "std                               5.590536e+05  ...           1.444316   \n",
       "min                               0.000000e+00  ...           0.000000   \n",
       "25%                               0.000000e+00  ...           0.000000   \n",
       "50%                               0.000000e+00  ...           0.000000   \n",
       "75%                               1.500000e+03  ...           0.000000   \n",
       "max                               6.443700e+07  ...         110.170000   \n",
       "\n",
       "       Induced Jobs Fte  Compost  Produced Tons  Compost  Produced Tons  Yr  \\\n",
       "count     141429.000000           141429.000000                    141429.0   \n",
       "mean           0.117056                0.440977                         0.0   \n",
       "std            2.261146               45.712955                         0.0   \n",
       "min            0.000000                0.000000                         0.0   \n",
       "25%            0.000000                0.000000                         0.0   \n",
       "50%            0.000000                0.000000                         0.0   \n",
       "75%            0.000000                0.000000                         0.0   \n",
       "max          151.000000            10365.000000                         0.0   \n",
       "\n",
       "       Net Density  DUA  Applicants  Assisted  Invasive Cover 12 Months  \\\n",
       "count     141429.000000         141429.000000             141429.000000   \n",
       "mean           0.082260              0.019642                  0.010656   \n",
       "std            4.382593              1.406914                  0.758250   \n",
       "min            0.000000              0.000000                  0.000000   \n",
       "25%            0.000000              0.000000                  0.000000   \n",
       "50%            0.000000              0.000000                  0.000000   \n",
       "75%            0.000000              0.000000                  0.000000   \n",
       "max          706.000000            320.000000                 85.000000   \n",
       "\n",
       "       Invasive Cover 36 Months  Project Acreage  \\\n",
       "count             141429.000000     1.414290e+05   \n",
       "mean                   0.010578     9.771087e+00   \n",
       "std                    0.757677     3.669526e+03   \n",
       "min                    0.000000     0.000000e+00   \n",
       "25%                    0.000000     0.000000e+00   \n",
       "50%                    0.000000     0.000000e+00   \n",
       "75%                    0.000000     0.000000e+00   \n",
       "max                   85.000000     1.380000e+06   \n",
       "\n",
       "       Intermediary Admin Expenses Calc  \n",
       "count                      1.414290e+05  \n",
       "mean                       1.911114e+03  \n",
       "std                        1.196317e+05  \n",
       "min                        0.000000e+00  \n",
       "25%                        0.000000e+00  \n",
       "50%                        0.000000e+00  \n",
       "75%                        0.000000e+00  \n",
       "max                        2.000000e+07  \n",
       "\n",
       "[8 rows x 82 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# describe the data\n",
    "data.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          Tract    ZIP         County    ApproxLoc  TotPop19    CIscore  \\\n",
      "0  6.083002e+09  93454  Santa Barbara  Santa Maria      4495  36.019653   \n",
      "1  6.083002e+09  93455  Santa Barbara  Santa Maria     13173  37.030667   \n",
      "2  6.083002e+09  93454  Santa Barbara  Santa Maria      2398  31.213140   \n",
      "3  6.083002e+09  93455  Santa Barbara       Orcutt      4496   6.639331   \n",
      "4  6.083002e+09  93455  Santa Barbara       Orcutt      4008  14.022852   \n",
      "\n",
      "    CIscoreP     Ozone     OzoneP     PM2_5  ...  Elderly65  Hispanic  \\\n",
      "0  69.162885  0.034190  10.566273  7.567724  ...    12.5028   68.9210   \n",
      "1  70.637922  0.035217  11.561917  7.624775  ...     5.3519   78.6229   \n",
      "2  61.069087  0.034190  10.566273  7.548835  ...    12.8857   65.7214   \n",
      "3   5.988401  0.036244  13.615432  7.660570  ...    14.4128   22.9537   \n",
      "4  23.121533  0.036244  13.615432  7.663210  ...    18.8872   33.4082   \n",
      "\n",
      "     White  AfricanAm  NativeAm  OtherMult    Shape_Leng    Shape_Area  \\\n",
      "0  20.8899     0.4004    0.2670     1.3126   6999.357689  2.847611e+06   \n",
      "1  13.2240     2.5051    0.0000     0.9489  19100.578232  1.635292e+07   \n",
      "2  30.6088     0.9591    0.0000     2.1685   4970.985897  1.352329e+06   \n",
      "3  69.1948     0.9342    0.7117     2.5356   6558.956012  2.417717e+06   \n",
      "4  59.7804     0.6986    1.4721     1.3723   6570.368730  2.608422e+06   \n",
      "\n",
      "     AAPI                                           geometry  \n",
      "0  8.2091  POLYGON ((-39795.07 -341919.191, -38126.384 -3...  \n",
      "1  4.6990  POLYGON ((-39795.07 -341919.191, -39803.632 -3...  \n",
      "2  0.5421  POLYGON ((-38115.747 -341130.248, -38126.384 -...  \n",
      "3  3.6699  POLYGON ((-37341.662 -348530.437, -37252.307 -...  \n",
      "4  3.2685  POLYGON ((-39465.107 -348499.262, -38244.305 -...  \n",
      "\n",
      "[5 rows x 67 columns]\n"
     ]
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "# Load the shapefile\n",
    "shapefile_path = '/home/dadams/Repos/california_equity_git/california_enviroscreen/calif_enviroscreen_shape/CES4 Final Shapefile.shp'\n",
    "gdf = gpd.read_file(shapefile_path)\n",
    "\n",
    "# Print the head of the GeoDataFrame\n",
    "print(gdf.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Updated Project Category Distribution:\n",
      "project_category\n",
      "Transportation - Other            101427\n",
      "Other                              14340\n",
      "Individual - Home Energy            7427\n",
      "Air Quality Projects                5514\n",
      "Water-Energy Projects               5111\n",
      "Individual - Vehicle                4538\n",
      "Agricultural Projects               1688\n",
      "Community Projects                   973\n",
      "Institutional - Government           269\n",
      "Institutional - Nonprofit            100\n",
      "Institutional - Large Business        23\n",
      "Institutional - Education             17\n",
      "Business - Small                       2\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Updated Analysis:\n",
      "                               Total Project Cost                              \\\n",
      "                                            count           sum          mean   \n",
      "project_category                                                                \n",
      "Agricultural Projects                        1688     886514974  5.251866e+05   \n",
      "Air Quality Projects                         5514    1211608583  2.197331e+05   \n",
      "Business - Small                                2         65376  3.268800e+04   \n",
      "Community Projects                            973     508817727  5.229370e+05   \n",
      "Individual - Home Energy                     7427     320008647  4.308720e+04   \n",
      "Individual - Vehicle                         4538    1286418141  2.834769e+05   \n",
      "Institutional - Education                      17       5561672  3.271572e+05   \n",
      "Institutional - Government                    269   16939974420  6.297388e+07   \n",
      "Institutional - Large Business                 23     513921827  2.234443e+07   \n",
      "Institutional - Nonprofit                     100    1402247011  1.402247e+07   \n",
      "Other                                       14340  104572013338  7.292330e+06   \n",
      "Transportation - Other                     101427    2473090031  2.438296e+04   \n",
      "Water-Energy Projects                        5111      85125916  1.665543e+04   \n",
      "\n",
      "                               Total Project GHGReductions              \\\n",
      "                                                       sum        mean   \n",
      "project_category                                                         \n",
      "Agricultural Projects                             24249378  14365.7453   \n",
      "Air Quality Projects                                250801     45.4844   \n",
      "Business - Small                                         0      0.0000   \n",
      "Community Projects                                  154010    158.2837   \n",
      "Individual - Home Energy                            693914     93.4313   \n",
      "Individual - Vehicle                                993992    219.0375   \n",
      "Institutional - Education                              457     26.8824   \n",
      "Institutional - Government                         6580289  24462.0409   \n",
      "Institutional - Large Business                      388663  16898.3913   \n",
      "Institutional - Nonprofit                          4791834  47918.3400   \n",
      "Other                                             67313019   4694.0738   \n",
      "Transportation - Other                             3312930     32.6632   \n",
      "Water-Energy Projects                               425225     83.1980   \n",
      "\n",
      "                               dac_funding_ratio         ghg_per_dollar  \\\n",
      "                                            mean  median           mean   \n",
      "project_category                                                          \n",
      "Agricultural Projects                     0.2388  0.0000         0.0106   \n",
      "Air Quality Projects                         NaN     NaN         0.0002   \n",
      "Business - Small                             NaN     NaN         0.0000   \n",
      "Community Projects                           NaN     NaN         0.0004   \n",
      "Individual - Home Energy                  0.6504  0.7405         0.0038   \n",
      "Individual - Vehicle                      0.1660  0.0245         0.0017   \n",
      "Institutional - Education                    NaN     NaN         0.0008   \n",
      "Institutional - Government                0.0000  0.0000         0.0022   \n",
      "Institutional - Large Business               NaN     NaN         0.0038   \n",
      "Institutional - Nonprofit                 0.0000  0.0000         0.0182   \n",
      "Other                                     0.1483  0.0000         0.0023   \n",
      "Transportation - Other                    0.4190  0.0000         0.0027   \n",
      "Water-Energy Projects                     0.4359  0.0000         0.1027   \n",
      "\n",
      "                                        \n",
      "                                median  \n",
      "project_category                        \n",
      "Agricultural Projects           0.0051  \n",
      "Air Quality Projects            0.0000  \n",
      "Business - Small                0.0000  \n",
      "Community Projects              0.0000  \n",
      "Individual - Home Energy        0.0026  \n",
      "Individual - Vehicle            0.0010  \n",
      "Institutional - Education       0.0000  \n",
      "Institutional - Government      0.0001  \n",
      "Institutional - Large Business  0.0005  \n",
      "Institutional - Nonprofit       0.0004  \n",
      "Other                           0.0001  \n",
      "Transportation - Other          0.0032  \n",
      "Water-Energy Projects           0.0096  \n"
     ]
    }
   ],
   "source": [
    "# 1. Fix the classification function\n",
    "def classify_project_type_v2(row):\n",
    "    program = str(row['Program Name']).lower()\n",
    "    project_type = str(row['Project Type']).lower()\n",
    "    \n",
    "    # Individual incentive programs\n",
    "    if program == 'low carbon transportation':\n",
    "        if 'voucher' in project_type.lower():\n",
    "            return 'Individual - Vehicle'\n",
    "        return 'Transportation - Other'\n",
    "    elif program in ['low-income weatherization program', 'woodsmoke reduction program']:\n",
    "        return 'Individual - Home Energy'\n",
    "    elif program == 'water-energy efficiency':\n",
    "        return 'Water-Energy Projects'\n",
    "    elif program == 'community air protection':\n",
    "        return 'Air Quality Projects'\n",
    "    elif program == 'climate smart agriculture':\n",
    "        return 'Agricultural Projects'\n",
    "    elif 'voucher' in project_type.lower():\n",
    "        return 'Individual - Other'\n",
    "    elif program == 'transformative climate communities':\n",
    "        return 'Community Projects'\n",
    "    \n",
    "    # Institutional by recipient type\n",
    "    elif pd.notna(row['PRIMARY_FUNDING_RECIPIENT_TYPE']):\n",
    "        recipient = str(row['PRIMARY_FUNDING_RECIPIENT_TYPE'])\n",
    "        if recipient in ['Government Agency', 'Government agency', 'California Native American Tribe']:\n",
    "            return 'Institutional - Government'\n",
    "        elif recipient == 'Educational institution':\n",
    "            return 'Institutional - Education'\n",
    "        elif recipient == 'Nonprofit':\n",
    "            return 'Institutional - Nonprofit'\n",
    "        elif recipient == 'Business':\n",
    "            if row['Total Project Cost'] > 100000:\n",
    "                return 'Institutional - Large Business'\n",
    "            return 'Business - Small'\n",
    "    \n",
    "    return 'Other'\n",
    "\n",
    "# 2. Add safe division function for metrics\n",
    "def safe_divide(a, b):\n",
    "    if b == 0:\n",
    "        return 0\n",
    "    return a / b\n",
    "\n",
    "# 3. Recalculate metrics\n",
    "data['project_category'] = data.apply(classify_project_type_v2, axis=1)\n",
    "data['dac_funding_ratio'] = data.apply(lambda x: safe_divide(x['Total GGRFDisadvantaged Community Funding'], x['Total Project Cost']), axis=1)\n",
    "data['ghg_per_dollar'] = data.apply(lambda x: safe_divide(x['Total Project GHGReductions'], x['Total Project Cost']), axis=1)\n",
    "\n",
    "# 4. Rerun analysis\n",
    "updated_analysis = data.groupby('project_category').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'Total Project GHGReductions': ['sum', 'mean'],\n",
    "    'dac_funding_ratio': ['mean', 'median'],\n",
    "    'ghg_per_dollar': ['mean', 'median']\n",
    "}).round(4)\n",
    "\n",
    "print(\"\\nUpdated Project Category Distribution:\")\n",
    "print(data['project_category'].value_counts())\n",
    "print(\"\\nUpdated Analysis:\")\n",
    "print(updated_analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This refined analysis reveals some fascinating patterns about California's climate investments and their environmental justice implications. Let's break down the key findings:\n",
    "\n",
    "1. Program Distribution and Scale:\n",
    "- Transportation dominates numerically:\n",
    "  * Transportation-Other: 101,427 projects (71.6% of all projects)\n",
    "  * Individual Vehicle incentives: 4,538 projects\n",
    "- Individual programs have high reach but moderate costs:\n",
    "  * Home Energy: 7,427 projects (~$43K average)\n",
    "  * Vehicle incentives: 4,538 projects (~$283K average)\n",
    "- Institutional projects are fewer but larger:\n",
    "  * Government: 269 projects (~$63M average)\n",
    "  * Nonprofits: 100 projects (~$14M average)\n",
    "\n",
    "2. Environmental Justice (DAC Funding Ratio):\n",
    "- Home Energy programs show strongest DAC focus (65% DAC funding ratio)\n",
    "- Water-Energy (44%) and Transportation-Other (42%) also show good DAC targeting\n",
    "- Individual Vehicle programs have lower DAC funding (17%)\n",
    "- Institutional programs show minimal DAC funding ratios\n",
    "\n",
    "3. GHG Reduction Efficiency (GHG per dollar):\n",
    "- Water-Energy Projects are most efficient (0.1027 tons/$)\n",
    "- Nonprofit projects show high efficiency (0.0182 tons/$)\n",
    "- Agricultural Projects also perform well (0.0106 tons/$)\n",
    "- Individual incentives show lower efficiency:\n",
    "  * Home Energy: 0.0038 tons/$\n",
    "  * Vehicle: 0.0017 tons/$\n",
    "\n",
    "\n",
    "Key Environmental Justice Implications:\n",
    "\n",
    "1. Individual vs Institutional Trade-offs:\n",
    "- Individual programs (especially home energy) are better at reaching disadvantaged communities\n",
    "- But institutional programs tend to be more cost-effective for GHG reductions\n",
    "- This suggests a potential tension between equity and efficiency goals\n",
    "\n",
    "1. Program-Specific Patterns:\n",
    "- Home Energy programs show the best balance of DAC reach and moderate GHG efficiency\n",
    "- Vehicle incentives have lower DAC reach and efficiency, supporting your hypothesis about wealth bias\n",
    "- Water-Energy projects show promising combination of good DAC reach and high efficiency\n",
    "\n",
    "1. Policy Implications:\n",
    "- Consider expanding successful programs like Water-Energy that combine good DAC reach with high efficiency\n",
    "- Look for ways to improve DAC access to vehicle incentives\n",
    "- Consider bundling institutional and individual programs to balance efficiency and equity goals\n",
    "\n",
    "Would you like to explore any of these aspects in more detail? We could:\n",
    "1. Drill deeper into geographic distribution\n",
    "2. Analyze temporal trends in these patterns\n",
    "3. Look at specific program characteristics that drive DAC success"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_846869/3534785368.py:18: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(data=plot_data,\n",
      "/tmp/ipykernel_846869/3534785368.py:28: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(data=plot_data[mask],\n",
      "/tmp/ipykernel_846869/3534785368.py:38: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.barplot(data=plot_data[mask],\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x2000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Prepare data for plotting\n",
    "plot_data = data.groupby('project_category').agg({\n",
    "    'Total Project Cost': ['count', 'mean'],\n",
    "    'dac_funding_ratio': 'mean',\n",
    "    'ghg_per_dollar': 'mean'\n",
    "}).reset_index()\n",
    "\n",
    "# Flatten column names\n",
    "plot_data.columns = ['project_category', 'count', 'avg_cost', 'dac_ratio', 'ghg_efficiency']\n",
    "\n",
    "# Create figure with multiple subplots\n",
    "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(15, 20))\n",
    "\n",
    "# 1. Project Counts\n",
    "sns.barplot(data=plot_data, \n",
    "           x='count', \n",
    "           y='project_category', \n",
    "           ax=ax1,\n",
    "           palette='viridis')\n",
    "ax1.set_title('Number of Projects by Category')\n",
    "ax1.set_xlabel('Number of Projects')\n",
    "\n",
    "# 2. DAC Funding Ratio\n",
    "mask = plot_data['dac_ratio'].notna()  # Filter out NaN values\n",
    "sns.barplot(data=plot_data[mask], \n",
    "           x='dac_ratio', \n",
    "           y='project_category', \n",
    "           ax=ax2,\n",
    "           palette='viridis')\n",
    "ax2.set_title('Disadvantaged Community Funding Ratio by Category')\n",
    "ax2.set_xlabel('DAC Funding Ratio')\n",
    "\n",
    "# 3. GHG Efficiency\n",
    "mask = plot_data['ghg_efficiency'].notna()  # Filter out NaN values\n",
    "sns.barplot(data=plot_data[mask], \n",
    "           x='ghg_efficiency', \n",
    "           y='project_category', \n",
    "           ax=ax3,\n",
    "           palette='viridis')\n",
    "ax3.set_title('GHG Reduction Efficiency by Category (tons CO2e per dollar)')\n",
    "ax3.set_xlabel('GHG Reduction per Dollar')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Create a scatter plot to show relationship between project size and efficiency\n",
    "plt.figure(figsize=(12, 8))\n",
    "plt.scatter(plot_data['avg_cost'], \n",
    "           plot_data['ghg_efficiency'], \n",
    "           alpha=0.6)\n",
    "\n",
    "# Add labels for each point\n",
    "for i, row in plot_data.iterrows():\n",
    "    plt.annotate(row['project_category'], \n",
    "                (row['avg_cost'], row['ghg_efficiency']),\n",
    "                xytext=(5, 5), \n",
    "                textcoords='offset points')\n",
    "\n",
    "plt.xscale('log')  # Use log scale for cost due to wide range\n",
    "plt.xlabel('Average Project Cost (log scale)')\n",
    "plt.ylabel('GHG Reduction Efficiency (tons CO2e per dollar)')\n",
    "plt.title('Project Cost vs GHG Reduction Efficiency')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 10 Counties by Project Count:\n",
      "County\n",
      "Los Angeles       38032\n",
      "Orange            10694\n",
      "San Diego          8468\n",
      "Fresno             7854\n",
      "Santa Clara        7154\n",
      "Alameda            6381\n",
      "Riverside          6190\n",
      "San Bernardino     5159\n",
      "Sacramento         4781\n",
      "San Joaquin        4202\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Project Categories by County (top 5 counties):\n",
      "\n",
      "Los Angeles:\n",
      "project_category\n",
      "Transportation - Other            30411\n",
      "Individual - Home Energy           2233\n",
      "Individual - Vehicle               2187\n",
      "Water-Energy Projects              1945\n",
      "Other                               794\n",
      "Air Quality Projects                352\n",
      "Community Projects                   79\n",
      "Institutional - Government           19\n",
      "Institutional - Nonprofit             6\n",
      "Agricultural Projects                 3\n",
      "Institutional - Large Business        3\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Orange:\n",
      "project_category\n",
      "Transportation - Other        9866\n",
      "Individual - Vehicle           290\n",
      "Individual - Home Energy       184\n",
      "Water-Energy Projects          169\n",
      "Other                          129\n",
      "Air Quality Projects            51\n",
      "Institutional - Government       4\n",
      "Community Projects               1\n",
      "Name: count, dtype: int64\n",
      "\n",
      "San Diego:\n",
      "project_category\n",
      "Transportation - Other        7571\n",
      "Other                          375\n",
      "Individual - Vehicle           294\n",
      "Air Quality Projects           105\n",
      "Individual - Home Energy        83\n",
      "Agricultural Projects           30\n",
      "Institutional - Government       6\n",
      "Institutional - Nonprofit        3\n",
      "Community Projects               1\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Fresno:\n",
      "project_category\n",
      "Transportation - Other            2541\n",
      "Other                             2144\n",
      "Air Quality Projects              1747\n",
      "Individual - Home Energy           769\n",
      "Water-Energy Projects              338\n",
      "Agricultural Projects              142\n",
      "Individual - Vehicle                96\n",
      "Community Projects                  64\n",
      "Institutional - Government           7\n",
      "Institutional - Education            3\n",
      "Institutional - Large Business       2\n",
      "Institutional - Nonprofit            1\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Santa Clara:\n",
      "project_category\n",
      "Transportation - Other            6214\n",
      "Water-Energy Projects              530\n",
      "Individual - Vehicle               177\n",
      "Other                               89\n",
      "Individual - Home Energy            74\n",
      "Air Quality Projects                50\n",
      "Agricultural Projects               14\n",
      "Institutional - Government           3\n",
      "Institutional - Nonprofit            2\n",
      "Institutional - Large Business       1\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Percentage of Funding by Category in Top 5 Counties:\n",
      "project_category  Agricultural Projects  Air Quality Projects  \\\n",
      "County                                                          \n",
      "Los Angeles                        0.00                  0.36   \n",
      "Orange                             0.00                  1.44   \n",
      "San Diego                          0.05                  1.61   \n",
      "Fresno                             6.12                 10.44   \n",
      "Santa Clara                        0.03                  0.61   \n",
      "\n",
      "project_category  Business - Small  Community Projects  \\\n",
      "County                                                   \n",
      "Los Angeles                    0.0                0.14   \n",
      "Orange                         0.0                0.15   \n",
      "San Diego                      0.0                0.00   \n",
      "Fresno                         0.0               17.55   \n",
      "Santa Clara                    0.0                0.00   \n",
      "\n",
      "project_category  Individual - Home Energy  Individual - Vehicle  \\\n",
      "County                                                             \n",
      "Los Angeles                           0.06                  0.91   \n",
      "Orange                                0.09                  2.90   \n",
      "San Diego                             0.10                  1.45   \n",
      "Fresno                                4.74                  2.50   \n",
      "Santa Clara                           0.12                  2.07   \n",
      "\n",
      "project_category  Institutional - Education  Institutional - Government  \\\n",
      "County                                                                    \n",
      "Los Angeles                            0.00                        5.35   \n",
      "Orange                                 0.00                       37.65   \n",
      "San Diego                              0.00                        2.90   \n",
      "Fresno                                 0.02                        0.73   \n",
      "Santa Clara                            0.00                       15.35   \n",
      "\n",
      "project_category  Institutional - Large Business  Institutional - Nonprofit  \\\n",
      "County                                                                        \n",
      "Los Angeles                                 0.26                       0.71   \n",
      "Orange                                      0.00                       0.00   \n",
      "San Diego                                   0.00                       2.54   \n",
      "Fresno                                      4.07                       0.01   \n",
      "Santa Clara                                 3.88                       0.04   \n",
      "\n",
      "project_category  Other  Transportation - Other  Water-Energy Projects  \n",
      "County                                                                  \n",
      "Los Angeles       91.48                    0.73                   0.00  \n",
      "Orange            51.20                    6.46                   0.12  \n",
      "San Diego         88.01                    3.33                   0.00  \n",
      "Fresno            47.73                    5.73                   0.36  \n",
      "Santa Clara       73.37                    4.43                   0.09  \n"
     ]
    }
   ],
   "source": [
    "# First let's see how many counties we have data for and their distribution\n",
    "county_analysis = data.groupby(['County', 'project_category']).agg({\n",
    "    'Total Project Cost': ['count', 'sum'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'dac_funding_ratio': 'mean'\n",
    "}).round(2)\n",
    "\n",
    "# Reset index for easier manipulation\n",
    "county_analysis = county_analysis.reset_index()\n",
    "\n",
    "# Flatten column names\n",
    "county_analysis.columns = ['County', 'project_category', 'project_count', 'total_cost', 'total_ghg', 'dac_ratio']\n",
    "\n",
    "print(\"\\nTop 10 Counties by Project Count:\")\n",
    "print(data['County'].value_counts().head(10))\n",
    "\n",
    "print(\"\\nProject Categories by County (top 5 counties):\")\n",
    "top_counties = data['County'].value_counts().head(5).index\n",
    "for county in top_counties:\n",
    "    print(f\"\\n{county}:\")\n",
    "    county_cats = data[data['County'] == county]['project_category'].value_counts()\n",
    "    print(county_cats)\n",
    "\n",
    "# Calculate percentage of projects in each county by category\n",
    "county_category_pcts = pd.crosstab(data['County'], \n",
    "                                 data['project_category'], \n",
    "                                 values=data['Total Project Cost'],\n",
    "                                 aggfunc='sum',\n",
    "                                 normalize='index') * 100\n",
    "\n",
    "print(\"\\nPercentage of Funding by Category in Top 5 Counties:\")\n",
    "print(county_category_pcts.loc[top_counties].round(2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_846869/2919179271.py:33: FutureWarning: \n",
      "\n",
      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
      "\n",
      "  sns.boxplot(data=data[data['dac_funding_ratio'].notna()],\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a more distinct color palette that groups similar categories\n",
    "colors = {\n",
    "    'Agricultural Projects': '#228B22',      # Forest Green\n",
    "    'Air Quality Projects': '#87CEEB',       # Sky Blue\n",
    "    'Business - Small': '#DDA0DD',          # Plum\n",
    "    'Community Projects': '#FF7F50',        # Coral\n",
    "    'Individual - Home Energy': '#FFD700',   # Gold\n",
    "    'Individual - Vehicle': '#DAA520',       # Goldenrod\n",
    "    'Institutional - Education': '#4B0082',  # Indigo\n",
    "    'Institutional - Government': '#800000', # Maroon\n",
    "    'Institutional - Large Business': '#4682B4', # Steel Blue\n",
    "    'Institutional - Nonprofit': '#2E8B57',  # Sea Green\n",
    "    'Other': '#808080',                     # Grey\n",
    "    'Transportation - Other': '#FF4500',     # Orange Red\n",
    "    'Water-Energy Projects': '#00CED1'       # Turquoise\n",
    "}\n",
    "\n",
    "plt.figure(figsize=(15, 8))\n",
    "county_category_pcts.loc[top_counties].plot(kind='bar', \n",
    "                                          stacked=True,\n",
    "                                          color=[colors[x] for x in county_category_pcts.columns])\n",
    "plt.title('Distribution of Project Funding by Category Across Top Counties')\n",
    "plt.xlabel('County')\n",
    "plt.ylabel('Percentage of Total Funding')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), \n",
    "          loc='upper left',\n",
    "          title='Project Categories')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Create a visualization for DAC funding ratio by county\n",
    "plt.figure(figsize=(15, 8))\n",
    "sns.boxplot(data=data[data['dac_funding_ratio'].notna()],\n",
    "            x='County',\n",
    "            y='dac_funding_ratio',\n",
    "            order=top_counties,\n",
    "            palette='viridis')\n",
    "plt.title('DAC Funding Ratio Distribution by County')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Environmental Justice Analysis by Category:\n",
      "                          Total Project Cost                              \\\n",
      "                                       count           sum          mean   \n",
      "ej_category                                                                \n",
      "Individual - Solar/Energy               7427     320008647  4.308720e+04   \n",
      "Individual - Vehicle                    4538    1286418141  2.834769e+05   \n",
      "Large Projects                         10009  127060954384  1.269467e+07   \n",
      "Other                                 119455    1537986491  1.287503e+04   \n",
      "\n",
      "                          dac_funding_ratio          \\\n",
      "                                       mean  median   \n",
      "ej_category                                           \n",
      "Individual - Solar/Energy            0.6504  0.7405   \n",
      "Individual - Vehicle                 0.1660  0.0245   \n",
      "Large Projects                       0.2761  0.0000   \n",
      "Other                                0.4129  0.0000   \n",
      "\n",
      "                          Is Benefit Disadvantaged Communities  \\\n",
      "                                                          mean   \n",
      "ej_category                                                      \n",
      "Individual - Solar/Energy                               0.7824   \n",
      "Individual - Vehicle                                    0.3455   \n",
      "Large Projects                                          0.0664   \n",
      "Other                                                   0.3275   \n",
      "\n",
      "                          Is Low Income Communities  \\\n",
      "                                               mean   \n",
      "ej_category                                           \n",
      "Individual - Solar/Energy                    0.9338   \n",
      "Individual - Vehicle                         0.4125   \n",
      "Large Projects                               0.5602   \n",
      "Other                                        0.5708   \n",
      "\n",
      "                          Total Project GHGReductions  \n",
      "                                                  sum  \n",
      "ej_category                                            \n",
      "Individual - Solar/Energy                      693914  \n",
      "Individual - Vehicle                           993992  \n",
      "Large Projects                              103527784  \n",
      "Other                                         3938822  \n",
      "\n",
      "Percentage of Funding to Disadvantaged and Low-Income Communities:\n",
      "                           DAC_percentage  LowIncome_percentage\n",
      "ej_category                                                    \n",
      "Individual - Solar/Energy           41.46                  4.97\n",
      "Individual - Vehicle                 5.13                  2.01\n",
      "Large Projects                       0.91                  1.47\n",
      "Other                               10.11                 16.38\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Impact Analysis:\n",
      "                           Total Project GHGReductions  Total Project Cost  \\\n",
      "ej_category                                                                  \n",
      "Individual - Solar/Energy                        93.43            43087.20   \n",
      "Individual - Vehicle                            219.04           283476.89   \n",
      "Large Projects                                10343.47         12694670.24   \n",
      "Other                                            32.97            12875.03   \n",
      "\n",
      "                           GHG_reduction_per_dollar  \n",
      "ej_category                                          \n",
      "Individual - Solar/Energy                    0.0022  \n",
      "Individual - Vehicle                         0.0008  \n",
      "Large Projects                               0.0008  \n",
      "Other                                        0.0026  \n"
     ]
    }
   ],
   "source": [
    "# Clearer organization \n",
    "def classify_for_ej_analysis(row):\n",
    "    program = str(row['Program Name']).lower()\n",
    "    project_type = str(row['Project Type']).lower()\n",
    "    \n",
    "    # Individual incentives\n",
    "    if program == 'low carbon transportation' and 'voucher' in project_type.lower():\n",
    "        return 'Individual - Vehicle'\n",
    "    elif program == 'low-income weatherization program':\n",
    "        return 'Individual - Solar/Energy'\n",
    "    elif program == 'woodsmoke reduction program':\n",
    "        return 'Individual - Solar/Energy'\n",
    "    # Large projects\n",
    "    elif row['Total Project Cost'] > 100000:  # threshold for \"large\" projects\n",
    "        return 'Large Projects'\n",
    "    else:\n",
    "        return 'Other'\n",
    "\n",
    "data['ej_category'] = data.apply(classify_for_ej_analysis, axis=1)\n",
    "\n",
    "# Analyze environmental justice metrics by category\n",
    "ej_analysis = data.groupby('ej_category').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'dac_funding_ratio': ['mean', 'median'],\n",
    "    'Is Benefit Disadvantaged Communities': 'mean',\n",
    "    'Is Low Income Communities': 'mean',\n",
    "    'Total Project GHGReductions': 'sum'\n",
    "}).round(4)\n",
    "\n",
    "print(\"Environmental Justice Analysis by Category:\")\n",
    "print(ej_analysis)\n",
    "\n",
    "# Calculate percentage of funds going to different income communities\n",
    "ej_distribution = data.groupby('ej_category').agg({\n",
    "    'Total Project Cost': 'sum',\n",
    "    'Total GGRFDisadvantaged Community Funding': 'sum',\n",
    "    'Low Income Amount': 'sum'\n",
    "})\n",
    "\n",
    "ej_distribution['DAC_percentage'] = (ej_distribution['Total GGRFDisadvantaged Community Funding'] / \n",
    "                                   ej_distribution['Total Project Cost'] * 100)\n",
    "ej_distribution['LowIncome_percentage'] = (ej_distribution['Low Income Amount'] / \n",
    "                                         ej_distribution['Total Project Cost'] * 100)\n",
    "\n",
    "print(\"\\nPercentage of Funding to Disadvantaged and Low-Income Communities:\")\n",
    "print(ej_distribution[['DAC_percentage', 'LowIncome_percentage']].round(2))\n",
    "\n",
    "# Visualize the distribution\n",
    "plt.figure(figsize=(12, 6))\n",
    "bar_width = 0.35\n",
    "categories = ej_distribution.index\n",
    "\n",
    "x = np.arange(len(categories))\n",
    "plt.bar(x - bar_width/2, ej_distribution['DAC_percentage'], \n",
    "        bar_width, label='DAC Funding %', alpha=0.8)\n",
    "plt.bar(x + bar_width/2, ej_distribution['LowIncome_percentage'], \n",
    "        bar_width, label='Low Income Funding %', alpha=0.8)\n",
    "\n",
    "plt.xlabel('Project Category')\n",
    "plt.ylabel('Percentage of Total Funding')\n",
    "plt.title('Distribution of Funding to Disadvantaged and Low-Income Communities')\n",
    "plt.xticks(x, categories, rotation=45)\n",
    "plt.legend()\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Let's also look at the per-project impact\n",
    "impact_analysis = data.groupby('ej_category').agg({\n",
    "    'Total Project GHGReductions': 'mean',\n",
    "    'Total Project Cost': 'mean'\n",
    "}).round(2)\n",
    "\n",
    "impact_analysis['GHG_reduction_per_dollar'] = (impact_analysis['Total Project GHGReductions'] / \n",
    "                                             impact_analysis['Total Project Cost']).round(4)\n",
    "\n",
    "print(\"\\nImpact Analysis:\")\n",
    "print(impact_analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Patterns of Equity in California's Climate Investments\n",
    "\n",
    "1. Individual Solar/Energy Programs Show Strong Equity Focus:\n",
    "- Highest DAC funding ratio (0.65 mean, 0.74 median)\n",
    "- 78% benefit disadvantaged communities\n",
    "- 93% benefit low-income communities\n",
    "- 41.46% of funds go to DACs, highest among all categories\n",
    "- However, relatively small total investment ($320M)\n",
    "\n",
    "1. Individual Vehicle Programs Show Wealth Disparity:\n",
    "- Much lower DAC funding ratio (0.17 mean, 0.02 median)\n",
    "- Only 34.5% benefit disadvantaged communities\n",
    "- Only 5.13% of funds go to DACs\n",
    "- Larger individual project costs (~$283K vs $43K for solar)\n",
    "- This supports your hypothesis about vehicle incentives benefiting wealthier communities\n",
    "\n",
    "1. Large Projects Show Mixed Results:\n",
    "- Low DAC funding ratio (0.28 mean, 0.00 median)\n",
    "- Only 6.6% benefit disadvantaged communities\n",
    "- But 56% benefit low-income communities\n",
    "- Largest total investment ($127B)\n",
    "- Highest total GHG reductions (103.5M tons)\n",
    "\n",
    "Key Findings:\n",
    "1. the hypothesis about vehicle incentives primarily benefiting wealthier communities is strongly supported by the data\n",
    "2. However, individual solar/energy programs are actually very successful at reaching disadvantaged communities\n",
    "3. Large projects, while achieving the most total GHG reductions, have mixed equity outcomes - good at reaching low-income communities but not DACs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall Project Distribution by County:\n",
      "                                                   Total Project Cost  \\\n",
      "                                                                count   \n",
      "County                                                                  \n",
      "Los Angeles                                                     38032   \n",
      "Alameda                                                          6381   \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...                  9   \n",
      "Sacramento                                                       4781   \n",
      "San Diego                                                        8468   \n",
      "San Francisco                                                    2748   \n",
      "Santa Clara                                                      7154   \n",
      "San Francisco, Santa Clara                                          6   \n",
      "Orange                                                          10694   \n",
      "San Diego, Santa Barbara, Ventura                                  23   \n",
      "\n",
      "                                                                 \\\n",
      "                                                            sum   \n",
      "County                                                            \n",
      "Los Angeles                                         69936060480   \n",
      "Alameda                                             10379456877   \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...   7333200000   \n",
      "Sacramento                                           5858784824   \n",
      "San Diego                                            4870580185   \n",
      "San Francisco                                        3813460158   \n",
      "Santa Clara                                          3178166479   \n",
      "San Francisco, Santa Clara                           2998442533   \n",
      "Orange                                               2383485407   \n",
      "San Diego, Santa Barbara, Ventura                    2235315130   \n",
      "\n",
      "                                                   Total Project GHGReductions  \\\n",
      "                                                                           sum   \n",
      "County                                                                           \n",
      "Los Angeles                                                           11307708   \n",
      "Alameda                                                               10518799   \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...                      546406   \n",
      "Sacramento                                                             1975903   \n",
      "San Diego                                                              2233426   \n",
      "San Francisco                                                          1850982   \n",
      "Santa Clara                                                            1793848   \n",
      "San Francisco, Santa Clara                                             1538067   \n",
      "Orange                                                                 1180528   \n",
      "San Diego, Santa Barbara, Ventura                                       791432   \n",
      "\n",
      "                                                   dac_funding_ratio  \\\n",
      "                                                                mean   \n",
      "County                                                                 \n",
      "Los Angeles                                                   0.5751   \n",
      "Alameda                                                       0.2983   \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...               NaN   \n",
      "Sacramento                                                    0.4194   \n",
      "San Diego                                                     0.1004   \n",
      "San Francisco                                                 0.1057   \n",
      "Santa Clara                                                   0.2247   \n",
      "San Francisco, Santa Clara                                    0.0101   \n",
      "Orange                                                        0.3994   \n",
      "San Diego, Santa Barbara, Ventura                                NaN   \n",
      "\n",
      "                                                   Is Benefit Disadvantaged Communities  \\\n",
      "                                                                                   mean   \n",
      "County                                                                                    \n",
      "Los Angeles                                                                      0.5420   \n",
      "Alameda                                                                          0.2612   \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...                               0.0000   \n",
      "Sacramento                                                                       0.3403   \n",
      "San Diego                                                                        0.0993   \n",
      "San Francisco                                                                    0.1121   \n",
      "Santa Clara                                                                      0.2200   \n",
      "San Francisco, Santa Clara                                                       0.1667   \n",
      "Orange                                                                           0.3571   \n",
      "San Diego, Santa Barbara, Ventura                                                0.0000   \n",
      "\n",
      "                                                   Is Low Income Communities  \n",
      "                                                                        mean  \n",
      "County                                                                        \n",
      "Los Angeles                                                           0.6534  \n",
      "Alameda                                                               0.5557  \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...                    1.0000  \n",
      "Sacramento                                                            0.5162  \n",
      "San Diego                                                             0.5265  \n",
      "San Francisco                                                         0.5761  \n",
      "Santa Clara                                                           0.4911  \n",
      "San Francisco, Santa Clara                                            0.8333  \n",
      "Orange                                                                0.6461  \n",
      "San Diego, Santa Barbara, Ventura                                     1.0000  \n",
      "\n",
      "Vulnerable Communities Analysis:\n",
      "                           Total Projects  Total Investment  GHG Reduction\n",
      "All Communities                    141429      130205367663      109154512\n",
      "Disadvantaged Communities           47167       14111685888       12626682\n",
      "Low Income Communities              82595      103691488875       55739585\n",
      "\n",
      "Project Types in Vulnerable Communities:\n",
      "                                                                    Total Project Cost  \\\n",
      "                                                                                 count   \n",
      "project_category               Is Benefit Disadvantaged Communities                      \n",
      "Agricultural Projects          False                                              1490   \n",
      "                               True                                                198   \n",
      "Air Quality Projects           False                                              5514   \n",
      "Business - Small               False                                                 2   \n",
      "Community Projects             False                                               973   \n",
      "Individual - Home Energy       False                                              1616   \n",
      "                               True                                               5811   \n",
      "Individual - Vehicle           False                                              2970   \n",
      "                               True                                               1568   \n",
      "Institutional - Education      False                                                17   \n",
      "Institutional - Government     False                                               269   \n",
      "Institutional - Large Business False                                                23   \n",
      "Institutional - Nonprofit      False                                               100   \n",
      "Other                          False                                             13788   \n",
      "                               True                                                552   \n",
      "Transportation - Other         False                                             64674   \n",
      "                               True                                              36753   \n",
      "Water-Energy Projects          False                                              2826   \n",
      "                               True                                               2285   \n",
      "\n",
      "                                                                                  \\\n",
      "                                                                             sum   \n",
      "project_category               Is Benefit Disadvantaged Communities                \n",
      "Agricultural Projects          False                                   824640269   \n",
      "                               True                                     61874705   \n",
      "Air Quality Projects           False                                  1211608583   \n",
      "Business - Small               False                                       65376   \n",
      "Community Projects             False                                   508817727   \n",
      "Individual - Home Energy       False                                   117426101   \n",
      "                               True                                    202582546   \n",
      "Individual - Vehicle           False                                   839347111   \n",
      "                               True                                    447071030   \n",
      "Institutional - Education      False                                     5561672   \n",
      "Institutional - Government     False                                 16939974420   \n",
      "Institutional - Large Business False                                   513921827   \n",
      "Institutional - Nonprofit      False                                  1402247011   \n",
      "Other                          False                                 91784138193   \n",
      "                               True                                  12787875145   \n",
      "Transportation - Other         False                                  1888149934   \n",
      "                               True                                    584940097   \n",
      "Water-Energy Projects          False                                    57783551   \n",
      "                               True                                     27342365   \n",
      "\n",
      "                                                                    Total Project GHGReductions  \n",
      "                                                                                            sum  \n",
      "project_category               Is Benefit Disadvantaged Communities                              \n",
      "Agricultural Projects          False                                                   22903912  \n",
      "                               True                                                     1345466  \n",
      "Air Quality Projects           False                                                     250801  \n",
      "Business - Small               False                                                          0  \n",
      "Community Projects             False                                                     154010  \n",
      "Individual - Home Energy       False                                                     203507  \n",
      "                               True                                                      490407  \n",
      "Individual - Vehicle           False                                                     699758  \n",
      "                               True                                                      294234  \n",
      "Institutional - Education      False                                                        457  \n",
      "Institutional - Government     False                                                    6580289  \n",
      "Institutional - Large Business False                                                     388663  \n",
      "Institutional - Nonprofit      False                                                    4791834  \n",
      "Other                          False                                                   57935224  \n",
      "                               True                                                     9377795  \n",
      "Transportation - Other         False                                                    2392628  \n",
      "                               True                                                      920302  \n",
      "Water-Energy Projects          False                                                     226747  \n",
      "                               True                                                      198478  \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_846869/3616794259.py:63: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all Axes decorations.\n",
      "  plt.tight_layout()\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1. Analyze the overall spatial distribution of investments\n",
    "county_analysis = data.groupby('County').agg({\n",
    "    'Total Project Cost': ['count', 'sum'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'dac_funding_ratio': 'mean',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean',\n",
    "    'Is Low Income Communities': 'mean'\n",
    "}).round(4)\n",
    "\n",
    "# Add per capita metrics (we would need to merge with county population data)\n",
    "# Add GHG reduction per dollar by county\n",
    "\n",
    "# 2. Analyze vulnerable communities specifically\n",
    "vulnerability_analysis = pd.DataFrame({\n",
    "    'Total Projects': [\n",
    "        len(data),\n",
    "        len(data[data['Is Benefit Disadvantaged Communities'] == 1]),\n",
    "        len(data[data['Is Low Income Communities'] == 1])\n",
    "    ],\n",
    "    'Total Investment': [\n",
    "        data['Total Project Cost'].sum(),\n",
    "        data[data['Is Benefit Disadvantaged Communities'] == 1]['Total Project Cost'].sum(),\n",
    "        data[data['Is Low Income Communities'] == 1]['Total Project Cost'].sum()\n",
    "    ],\n",
    "    'GHG Reduction': [\n",
    "        data['Total Project GHGReductions'].sum(),\n",
    "        data[data['Is Benefit Disadvantaged Communities'] == 1]['Total Project GHGReductions'].sum(),\n",
    "        data[data['Is Low Income Communities'] == 1]['Total Project GHGReductions'].sum()\n",
    "    ]\n",
    "}, index=['All Communities', 'Disadvantaged Communities', 'Low Income Communities'])\n",
    "\n",
    "# 3. Project type distribution in vulnerable communities\n",
    "project_vulnerability = data.groupby(['project_category', 'Is Benefit Disadvantaged Communities']).agg({\n",
    "    'Total Project Cost': ['count', 'sum'],\n",
    "    'Total Project GHGReductions': 'sum'\n",
    "}).round(4)\n",
    "\n",
    "print(\"Overall Project Distribution by County:\")\n",
    "print(county_analysis.sort_values(('Total Project Cost', 'sum'), ascending=False).head(10))\n",
    "\n",
    "print(\"\\nVulnerable Communities Analysis:\")\n",
    "print(vulnerability_analysis)\n",
    "\n",
    "print(\"\\nProject Types in Vulnerable Communities:\")\n",
    "print(project_vulnerability)\n",
    "\n",
    "# Visualizations\n",
    "plt.figure(figsize=(15, 8))\n",
    "# Plot investment distribution...\n",
    "plt.subplot(1, 2, 1)\n",
    "county_analysis[('Total Project Cost', 'sum')].sort_values(ascending=False).head(10).plot(kind='bar')\n",
    "plt.title('Top 10 Counties by Total Investment')\n",
    "plt.ylabel('Total Investment')\n",
    "plt.xlabel('County')\n",
    "\n",
    "# ...and GHG reductions\n",
    "plt.subplot(1, 2, 2)\n",
    "county_analysis[('Total Project GHGReductions', 'sum')].sort_values(ascending=False).head(10).plot(kind='bar')\n",
    "plt.title('Top 10 Counties by GHG Reductions')\n",
    "plt.ylabel('Total GHG Reductions')\n",
    "plt.xlabel('County')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAB6kAAAfGCAYAAABF64utAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdd5xU5b0H4O8s0nFRpIkiIliiohASlRh7QURi7CURbFETjVGjSYy9G7s31xJj7NhbEjXWWJKIiRqxxo5iFERjQUFFds/9g7DXlaWswgyzPs/nc+51znnnzHdmZ8m+53fe9y0VRVEEAAAAAAAAAMqgptIBAAAAAAAAAPjqUKQGAAAAAAAAoGwUqQEAAAAAAAAoG0VqAAAAAAAAAMpGkRoAAAAAAACAslGkBgAAAAAAAKBsFKkBAAAAAAAAKBtFagAAAAAAAADKRpEaAAAAAAAAgLJRpAbmq/vuuy+lUinXX399paPMkzfffDPbbrttllhiiZRKpZx11lmVjrRQuOSSS1IqlfLKK69UOso8K5VK2W+//SodAwAAYL6Z2ce+7777Kh2FKrPssstmiy22qHQMAIDZUqSGKjSzgNiuXbu8/vrrsxxff/31s+qqq1YgWfU58MADc8cdd+TQQw/N5Zdfns0222yO7T/++OOceeaZWXPNNdO5c+e0a9cuK6ywQvbbb788//zzs7QfO3Zsvv/976d3795p27ZtunTpko033jgXX3xx6urqGtrNa4F12WWXTalUati6d++eddZZJzfddFPz33wFPfjggzn66KPz3nvvVTrKF/Lmm2/m4IMPzkorrZQOHTqkY8eOGTx4cI4//viqfU/zYua/PXPbll122bLkOfHEE3PzzTeX5bUAAPjqmJe/eee1cFzuv1lfeuml7L333lluueXSrl271NbWZu21187ZZ5+djz76qFHburq6XHzxxVl//fXTpUuXtG3bNssuu2x22223PPLIIw3tZvYDPruvKdV20/rUqVNz9NFHV80NALfddluOPvroSsdo0uTJk3PMMcdk9dVXT6dOndK+ffusuuqq+fnPf5433nij0vEWmJnf+XnZyuHcc8/NJZdcUpbXAoD5YZFKBwC+uE8++SQnn3xyfv3rX1c6StX685//nC233DIHH3zwXNu+/fbb2WyzzfLoo49miy22yM4775xOnTrlueeey9VXX50LLrgg06ZNa2h/4YUXZp999kmPHj2yyy67ZPnll88HH3yQe+65J3vssUcmTJiQX/7yl83OPHDgwPz0pz9Nkrzxxhv5zW9+k6233jrnnXde9tlnn2afrym77LJLdtxxx7Rt23a+nO/zHnzwwRxzzDHZdddds9hiiy2Q11hQHn744Wy++eb58MMP8/3vfz+DBw9OkjzyyCM5+eST88ADD+TOO++scMoFY911183ll1/eaN+ee+6ZNdZYI3vttVfDvk6dOpUlz4knnphtt9023/3ud8vyegAAfDV8/m/eyy67LHfdddcs+7/2ta/N9Vzl/Jv11ltvzXbbbZe2bdtm5MiRWXXVVTNt2rT89a9/zSGHHJKnn346F1xwQZLko48+ytZbb53bb7896667bn75y1+mS5cueeWVV3Lttdfm0ksvzfjx47P00ksv8NyVMnXq1BxzzDFJZtzsv7C77bbbcs455yx0heqXX345G2+8ccaPH5/tttsue+21V9q0aZMnnngiv/vd73LTTTc1eVN/S/C1r31tln8XDj300HTq1CmHHXZY2fOce+656dq1a3bdddeyvzYAfBGK1FDFBg4cmN/+9rc59NBD06tXr0rHKaspU6akY8eOX/o8kyZNmuci6a677prHHnss119/fbbZZptGx4477rhGHZCHHnoo++yzT4YMGZLbbrstiy66aMOxAw44II888kieeuqpL5R5qaWWyve///2GxyNHjkz//v1z5plnzrZIPX369NTX16dNmzbz9BqtWrVKq1atvlC+luy9997LVlttlVatWuWxxx7LSiut1Oj4CSeckN/+9rcVSrfgLbfcclluueUa7dtnn32y3HLLNfpOfl5zv38AAFBJn//b9qGHHspdd901x795K23cuHHZcccd06dPn/z5z3/Okksu2XBs3333zYsvvphbb721Yd8hhxyS22+/PWeeeWYOOOCARuc66qijcuaZZ5YrOlVs+vTp2XrrrfPmm2/mvvvuy7e//e1Gx0844YT86le/qlC6Ba9Hjx6z/Ltw8sknp2vXrnP896K+vj7Tpk1Lu3btFnREAFiome4bqtgvf/nL1NXV5eSTT55ju1deeSWlUqnJKX9KpVKju3CPPvrolEqlPP/88/n+97+fzp07p1u3bjniiCNSFEVee+21bLnllqmtrU3Pnj1z+umnN/madXV1+eUvf5mePXumY8eO+c53vpPXXnttlnZ///vfs9lmm6Vz587p0KFD1ltvvfztb39r1GZmpmeeeSY777xzFl988Vk6Pp/38ssvZ7vttkuXLl3SoUOHrLXWWo065DOnKyuKIuecc85cp1/6+9//nltvvTV77LHHLAXqJGnbtm1OO+20hsfHHHNMSqVSRo8e3ahAPdM3vvGN+XZna8+ePfO1r30t48aNS/L/P+/TTjstZ511Vvr165e2bdvmmWeeSTJj9Pg666yTjh07ZrHFFsuWW26Zf/3rX43OObs1qf/0pz81PHfRRRfN8OHD8/TTT8+S6dlnn83222+fbt26pX379llxxRUbivhHH310DjnkkCRJ3759Gz77ma9111135dvf/nYWW2yxdOrUKSuuuGKzRpyPHj06K664Ytq1a5fBgwfngQceaDh27733plQqNTk9+pVXXplSqZQxY8bM9ty/+c1v8vrrr+eMM86YpUCdzOigHn744Y32zctntuuuu6ZTp055/fXX893vfjedOnVKt27dcvDBBzeaFj5Jrr766gwePDiLLrpoamtrM2DAgJx99tkNx2f+vnxeUz/TRx55JEOHDk3Xrl3Tvn379O3bN7vvvvts3/+8mNP3b9q0aTnyyCMzePDgdO7cOR07dsw666yTe++9d5bz1NfX5+yzz86AAQPSrl27dOvWLZtttlnDFIOlUilTpkzJpZde2vAdcrc4AADlMmXKlPz0pz9tWNppxRVXzGmnnZaiKBrazOlv1ldffTU/+tGPsuKKK6Z9+/ZZYoklst12283SB5tXp5xySj788MP87ne/a1Sgnql///75yU9+kiT597//nd/85jfZZJNNZilQJzNuWj744IPnyyjqmf2TF198sWEmrc6dO2e33XbL1KlTG9qtuuqq2WCDDWZ5fn19fZZaaqlsu+22jfadddZZWWWVVdKuXbv06NEje++9d959991Gz51Tf+eVV15Jt27dkvx///2z10dm9tHGjx+fLbbYIp06dcpSSy2Vc845J0ny5JNPZsMNN0zHjh3Tp0+fXHnllbNkf++993LAAQc0fEf69++fX/3qV6mvr29o89n+0wUXXNDQf/rmN7+Zhx9+uKHdrrvu2vDazZ1C+s4778zAgQPTrl27rLzyyrnxxhsbjr388ssplUpN3pTw4IMPplQq5aqrrprtuW+44YY8/vjjOeyww5q8TlNbW5sTTjih0b7mXAea2/cmmfs1hNld32hqvfcXXngh22yzTXr27Jl27dpl6aWXzo477pj3339/tp/BvJi5xNvo0aOzyiqrpG3btrn99tuTJKeddlq+9a1vZYkllkj79u0zePDg2U6Zf8UVV2SNNdZIhw4dsvjii2fddddtmMlt2WWXzdNPP53777+/4ftRDTMEAPDVZiQ1VLG+fftm5MiR+e1vf5tf/OIX83U09Q477JCvfe1rOfnkk3Prrbfm+OOPT5cuXfKb3/wmG264YX71q19l9OjROfjgg/PNb34z6667bqPnn3DCCSmVSvn5z3+eSZMm5ayzzsrGG2+csWPHpn379klmFEuHDRuWwYMH56ijjkpNTU0uvvjibLjhhvnLX/6SNdZYo9E5t9tuuyy//PI58cQTG3X8P+/NN9/Mt771rUydOjX7779/llhiiVx66aX5zne+k+uvvz5bbbVVw7TFu+yySzbZZJOMHDlyjp/HH/7whyQzpsGem6lTp+aee+7Juuuum2WWWWau7b+sTz/9NK+99lqWWGKJRvsvvvjifPzxx9lrr70a1sO+++67M2zYsCy33HI5+uij89FHH+XXv/511l577fzzn/+c41rCl19+eUaNGpWhQ4fmV7/6VaZOnZrzzjsv3/72t/PYY481PPeJJ57IOuusk9atW2evvfbKsssum5deeil//OMfc8IJJ2TrrbfO888/n6uuuipnnnlmunbtmiTp1q1bnn766WyxxRZZbbXVcuyxx6Zt27Z58cUXZ+mwzs7999+fa665Jvvvv3/atm2bc889N5tttln+8Y9/ZNVVV83666+f3r17Z/To0dlqq60aPXf06NHp169fhgwZMtvz/+EPf0j79u0bXSCZk3n9zJIZN3YMHTo0a665Zk477bTcfffdOf3009OvX7/88Ic/TDKj873TTjtlo402argb/V//+lf+9re/NVxwmleTJk3Kpptumm7duuUXv/hFFltssbzyyiuNLlh8GU19/yZPnpwLL7wwO+20U37wgx/kgw8+yO9+97sMHTo0//jHPzJw4MCG5++xxx655JJLMmzYsOy5556ZPn16/vKXv+Shhx7KN77xjVx++eWzTDXer1+/+ZIdAADmpCiKfOc738m9996bPfbYIwMHDswdd9yRQw45JK+//npDwW9Of7M+/PDDefDBB7Pjjjtm6aWXziuvvJLzzjsv66+/fp555pl06NChWZn++Mc/Zrnllsu3vvWtubb905/+lOnTp89T/3Z+2X777dO3b9+cdNJJ+ec//5kLL7ww3bt3b+jX7LDDDjn66KMzceLE9OzZs+F5f/3rX/PGG29kxx13bNi3995755JLLsluu+2W/fffP+PGjcv//u//5rHHHsvf/va3tG7deq79nW7duuW8887LD3/4w2y11VbZeuutkySrrbZaw+vU1dVl2LBhWXfddXPKKadk9OjR2W+//dKxY8ccdthh+d73vpett946559/fkaOHJkhQ4akb9++SWZcF1hvvfXy+uuvZ++9984yyyyTBx98MIceemgmTJiQs846q9Hnc+WVV+aDDz7I3nvvnVKplFNOOSVbb711Xn755bRu3Tp777133njjjSannZ+TF154ITvssEP22WefjBo1KhdffHG222673H777dlkk02y3HLLZe21187o0aNz4IEHNnruzJvut9xyy9mevznXSpLmXwea2/fmy15D+Kxp06Zl6NCh+eSTT/LjH/84PXv2zOuvv55bbrkl7733Xjp37tzsc37+vV977bXZb7/90rVr14brAWeffXa+853v5Hvf+16mTZuWq6++Otttt11uueWWDB8+vOH5xxxzTI4++uh861vfyrHHHps2bdrk73//e/785z9n0003zVlnnZUf//jHjaYa79Gjx5fKDAALXAFUnYsvvrhIUjz88MPFSy+9VCyyyCLF/vvv33B8vfXWK1ZZZZWGx+PGjSuSFBdffPEs50pSHHXUUQ2PjzrqqCJJsddeezXsmz59erH00ksXpVKpOPnkkxv2v/vuu0X79u2LUaNGNey79957iyTFUkstVUyePLlh/7XXXlskKc4+++yiKIqivr6+WH755YuhQ4cW9fX1De2mTp1a9O3bt9hkk01mybTTTjvN0+dzwAEHFEmKv/zlLw37Pvjgg6Jv377FsssuW9TV1TV6//vuu+9cz7nVVlsVSYp33313rm0ff/zxIknxk5/8ZJ7yNidHnz59ik033bR46623irfeeqt4/PHHix133LFIUvz4xz8uiuL/f961tbXFpEmTGj1/4MCBRffu3Yv//Oc/jfLW1NQUI0eObNg38zs2bty4oihmfH6LLbZY8YMf/KDR+SZOnFh07ty50f511123WHTRRYtXX321UdvP/pxPPfXURuef6cwzzyySFG+99dZcP4vPS1IkKR555JGGfa+++mrRrl27YquttmrYd+ihhxZt27Yt3nvvvYZ9kyZNKhZZZJFGvwtNWXzxxYvVV199nvI05zMbNWpUkaQ49thjG7UdNGhQMXjw4IbHP/nJT4ra2tpi+vTps33dmb8vn/f5n+lNN93U8O/Il9GxY8dG/wbM6fs3ffr04pNPPmm079133y169OhR7L777g37/vznPxdJGv27NtNnv0eff20AAFgQ9t1330Z/Y998881FkuL4449v1G7bbbctSqVS8eKLLzbsm93frFOnTp1l35gxY4okxWWXXdawb2Yf+957751tvvfff79IUmy55Zbz9H4OPPDAIknx2GOPzVP7z16DmJOZWa+77rqGfTP7J5/9e78oZvSxl1hiiYbHzz33XJGk+PWvf92o3Y9+9KOiU6dODZ/XX/7ylyJJMXr06Ebtbr/99kb756W/89Zbb81yTWSmmX20E088sWHfzGsgpVKpuPrqqxv2P/vss7Oc57jjjis6duxYPP/8843O+4tf/KJo1apVMX78+KIo/r//tMQSSxTvvPNOQ7vf//73RZLij3/8Y8O+z38P56ZPnz5FkuKGG25o2Pf+++8XSy65ZDFo0KCGfb/5zW+KJMW//vWvhn3Tpk0runbtOtf+1qBBg4rOnTvPU54vch1obt+bebmG8Pm+8Eyf/9167LHHZvn+fhGrrLJKsd566zXal6Soqakpnn766Vnaf/7fgmnTphWrrrpqseGGGzbse+GFF4qamppiq622anRNqyga95Gbem0AWJiZ7huq3HLLLZdddtklF1xwQSZMmDDfzrvnnns2/HerVq3yjW98I0VRZI899mjYv9hii2XFFVfMyy+/PMvzR44c2Wia62233TZLLrlkbrvttiTJ2LFj88ILL2TnnXfOf/7zn7z99tt5++23M2XKlGy00UZ54IEHGk2BlWS26y1/3m233ZY11lij0VRTnTp1yl577ZVXXnmlYdrr5pg8eXKSNDl195dp+0Xceeed6datW7p165bVV1891113XXbZZZdZ1nnaZpttGqYvS5IJEyZk7Nix2XXXXdOlS5eG/auttlo22WSThp9NU+66666899572WmnnRp+Vm+//XZatWqVNddcs2G65rfeeisPPPBAdt9991lGkc/LVGQz1wf//e9/P8vPf14MGTIkgwcPbni8zDLLZMstt8wdd9zRMG32yJEj88knnzSaPuuaa67J9OnT57rG3OTJk+f55zqvn9lnff47vs466zT6/VpsscUyZcqU3HXXXfOUYU5mfta33HJLPv300y99vs/7/PcvmfFvycx1qevr6/POO+9k+vTp+cY3vpF//vOfDe1uuOGGlEqlHHXUUbOcd16ntAMAgAXltttuS6tWrbL//vs32v/Tn/40RVHkT3/601zPMXOGsWTG7Fj/+c9/0r9//yy22GKN/jaeF83tgy7oPmtTmurr/Oc//2nIssIKK2TgwIG55pprGtrU1dXl+uuvz4gRIxo+r+uuuy6dO3fOJpts0qifNXjw4HTq1KmhnzW/+jufvTYy8xpIx44ds/322zfsX3HFFbPYYos16rtdd911WWeddbL44os3yrnxxhunrq6u0bJUyYyR5IsvvnijzydJk9dbmqNXr16NZhGrra3NyJEj89hjj2XixIlJZoxWbteuXUaPHt3Q7o477sjbb789X/vI8+M60Oe/N1/2GsJnzRwpfccdd8wypfj8sN5662XllVeeZf9n/y1499138/7772edddZp9O/AzTffnPr6+hx55JGpqWl8OV8fGYBqpkgNLcDhhx+e6dOnz3Vt6ub4fIGxc+fOadeuXcPUzJ/d//l1n5Jk+eWXb/S4VCqlf//+DWsAvfDCC0mSUaNGNRRcZ24XXnhhPvnkk1nW/Jk5bdbcvPrqq1lxxRVn2f+1r32t4Xhz1dbWJkk++OCD+dr2i1hzzTVz11135e67786DDz6Yt99+O5dddlmjjk0y6+c1833P7rOZ2Tlsysyf14YbbjjLz+vOO+/MpEmTkvx/B3rVVVf9Qu9thx12yNprr50999wzPXr0yI477phrr712njubn//eJTMudkydOjVvvfVWkmSllVbKN7/5zUYd8NGjR2ettdZK//7953j+2traef65zutnNtPMdZc/a/HFF2/0+/WjH/0oK6ywQoYNG5all146u+++e8M6Vs213nrrZZtttskxxxyTrl27Zsstt8zFF1+cTz755Aud7/Nm9/t66aWXZrXVVku7du2yxBJLpFu3brn11lsb/b6/9NJL6dWrV6ObKQAAYGHx6quvplevXrMU55rT5/zoo49y5JFHNqxX3LVr13Tr1i3vvfdes9e/bW4fdEH3WZvy+WsMMwuyn+3v7LDDDvnb3/6W119/PcmMNYMnTZqUHXbYoaHNCy+8kPfffz/du3efpZ/14YcfNvSz5kd/p6k+WufOnbP00kvPUhj8/LWRF154IbfffvssGTfeeOMkmaU/OC+fzxfRv3//WbKusMIKSdJwfWaxxRbLiBEjGq2rPXr06Cy11FLZcMMN53j+L9JHbs51oLl9Ll/2GsJn9e3bNwcddFAuvPDCdO3aNUOHDs0555zzpdej/uz5m3LLLbdkrbXWSrt27dKlS5eGqeg/30euqalpssgN8FXzwAMPZMSIEenVq1dKpVJuvvnmZp/jjjvuyFprrZVFF1003bp1yzbbbNPwv4uUlzWpoQVYbrnl8v3vfz8XXHBBfvGLX8xyfHZ3Vc4cWdqUVq1azdO+JHNcH3p2ZnYYTj311Ebr0H5Wp06dGj3+fBG2nFZaaaUkyZNPPtlwR/Ps9O/fP4ssskiefPLJBZKla9euDR3bOZmfn9fMn9fll1/eaH2wmRZZZP78z0n79u3zwAMP5N57782tt96a22+/Pddcc0023HDD3HnnnbP9DjbXyJEj85Of/CT//ve/88knn+Shhx7K//7v/871eSuttFLGjh2badOmNYwInp3mfmbz8t66d++esWPH5o477sif/vSn/OlPf8rFF1+ckSNH5tJLL00y77/vpVIp119/fR566KH88Y9/zB133JHdd989p59+eh566KFZfv+aq6nv3xVXXJFdd9013/3ud3PIIYeke/fuadWqVU466aS89NJLX+r1AACgmvz4xz/OxRdfnAMOOCBDhgxJ586dUyqVsuOOOza7wFZbW5tevXrlqaeemqf2n+3fzq4/Pr/Ny/WEHXbYIYceemiuu+66HHDAAbn22mvTuXPnbLbZZg1t6uvr071790Y3HX/WzKLy/OjvzC7zvLyX+vr6bLLJJvnZz37WZNuZheLmnHNBGjlyZK677ro8+OCDGTBgQP7whz/kRz/60Syjdj9vpZVWymOPPZbXXnstvXv3nmPbL3IdaG6fy7xcQ2jONbHTTz89u+66a37/+9/nzjvvzP7775+TTjopDz30UJZeeuk5vr+5aaqP/Je//CXf+c53su666+bcc8/NkksumdatW+fiiy9udNMAAP9vypQpWX311bP77rtn6623bvbzx40bly233DIHHXRQRo8enffffz8HHnhgtt5662bPZsOXp0gNLcThhx+eK664YpYpn5P/v9P0vffea7T/i4wonlcz75CdqSiKvPjii1lttdWSJP369UsyozM9LwXX5ujTp0+ee+65WfY/++yzDceba8SIETnppJNyxRVXzLVI3aFDh2y44Yb585//PE8dtXKZ+b5n99l07do1HTt2bPK5M39e3bt3n+PPa7nllkuSuV4cmdN0VDU1Ndloo42y0UYb5YwzzsiJJ56Yww47LPfee+9cvyuf/94lyfPPP58OHTo0ugN+xx13zEEHHZSrrroqH330UVq3bt3o7vzZGTFiRMaMGZMbbrghO+200xzbzutn1lxt2rTJiBEjMmLEiNTX1+dHP/pRfvOb3+SII45I//79G/2+z5z6LJn97/taa62VtdZaKyeccEKuvPLKfO9738vVV1/daFq7+eX666/PcsstlxtvvLHRd+Dz03r369cvd9xxR9555505jqY2rRkAAJXQp0+f3H333fnggw8ajaZuqs85u79Zr7/++owaNSqnn356w76PP/54ln77vNpiiy1ywQUXZMyYMRkyZMgc2w4bNiytWrXKFVdckV122eULvd6C0Ldv36yxxhq55pprst9+++XGG2/Md7/73bRt27ahTb9+/XL33Xdn7bXXnqcbs+fU31mQ/Yl+/frlww8/nK99wS+S98UXX0xRFI2e+/zzzydJll122YZ9m222Wbp165bRo0dnzTXXzNSpU+fpuzFixIhcddVVueKKK3LooYfOse2Cug40t2sIzb0mNmDAgAwYMCCHH354Hnzwway99to5//zzc/zxx8+3zDPdcMMNadeuXe64445G3/OLL764Ubt+/fqlvr4+zzzzzBxvLNFHBr4Khg0blmHDhs32+CeffJLDDjssV111Vd57772suuqq+dWvfpX1118/SfLoo4+mrq4uxx9/fMPNWAcffHC23HLLfPrpp2ndunU53gb/ZbpvaCH69euX73//+/nNb37TsK7QTLW1tenatessax6de+65CyzPZZdd1mjKp+uvvz4TJkxo+B+QwYMHp1+/fjnttNPy4YcfzvL8mVMzfxGbb755/vGPf2TMmDEN+6ZMmZILLrggyy677BeaHmnIkCHZbLPNcuGFFzY5hci0adNy8MEHNzw+6qijUhRFdtlllybf36OPPtow8rVcllxyyQwcODCXXnppo87ZU089lTvvvDObb775bJ87dOjQ1NbW5sQTT2xyPa+ZP69u3bpl3XXXzUUXXZTx48c3avPZO8BnFsM/30l85513Zjn3zA7YvEzLNmbMmEZ3vL322mv5/e9/n0033bTRHdhdu3bNsGHDcsUVV2T06NHZbLPNZpnKvin77LNPllxyyfz0pz9t6Nh/1qRJkxo6rvP6mTXHf/7zn0aPa2pqGm78mPn5zOz4f/b3fcqUKbN83959991Z7spvzmf9Rcz8GXz2df/+9783+l1NZqxnXRRFjjnmmFnO8fnv0Re9iAcAAF/U5ptvnrq6ullmYzrzzDNTKpUaXTid3d+srVq1muXv8V//+tdznPFsTn72s5+lY8eO2XPPPfPmm2/Ocvyll17K2WefnSTp3bt3fvCDH+TOO+/Mr3/961na1tfX5/TTT8+///3vL5Tly9hhhx3y0EMP5aKLLsrbb789y83E22+/ferq6nLcccfN8tzp06c3fNbz0t/p0KFDkln7pfPD9ttvnzFjxuSOO+6Y5dh7772X6dOnN/ucs+tHz8kbb7yRm266qeHx5MmTc9lll2XgwIGNZvxaZJFFstNOO+Xaa6/NJZdckgEDBjT0Nedk2223zYABA3LCCSfM0q9LZkwpf9hhhyVZMNeB5uUaQlN95Lq6ulxwwQWNnjd58uRZfi4DBgxITU3NAu0jl0qlRr/3r7zyyizXnb773e+mpqYmxx577CwzLegjAzS23377ZcyYMbn66qvzxBNPZLvttstmm23WMLhp8ODBqampycUXX5y6urq8//77ufzyy7PxxhsrUFeAkdTQghx22GG5/PLL89xzz2WVVVZpdGzPPffMySefnD333DPf+MY38sADDzRZZJtfunTpkm9/+9vZbbfd8uabb+ass85K//7984Mf/CDJjOLahRdemGHDhmWVVVbJbrvtlqWWWiqvv/567r333tTW1uaPf/zjF3rtX/ziF7nqqqsybNiw7L///unSpUsuvfTSjBs3LjfccMNcp6uancsuuyybbrpptt5664wYMSIbbbRROnbsmBdeeCFXX311JkyYkNNOOy1J8q1vfSvnnHNOfvSjH2WllVbKLrvskuWXXz4ffPBB7rvvvvzhD39YIHfhzs2pp56aYcOGZciQIdljjz3y0Ucf5de//nU6d+6co48+erbPq62tzXnnnZdddtklX//617PjjjumW7duGT9+fG699dasvfbaDRdo/ud//iff/va38/Wvfz177bVX+vbtm1deeSW33nprxo4dm2TGHwPJjO/sjjvumNatW2fEiBE59thj88ADD2T48OHp06dPJk2alHPPPTdLL710vv3tb8/1/a266qoZOnRo9t9//7Rt27bhRoymip0jR47MtttumyRNXuBoyuKLL56bbropm2++eQYOHJjvf//7De/ln//8Z6666qqGUQvN+czm1Z577pl33nknG264YZZeeum8+uqr+fWvf52BAwc2rH+36aabZplllskee+yRQw45JK1atcpFF13U8NozXXrppTn33HOz1VZbpV+/fvnggw/y29/+NrW1tXO8YeHL2GKLLXLjjTdmq622yvDhwzNu3Licf/75WXnllRtdpNhggw2yyy675H/+53/ywgsvZLPNNkt9fX3+8pe/ZIMNNsh+++2XZMb36O67784ZZ5yRXr16pW/fvllzzTUXSHYAAJhpxIgR2WCDDXLYYYfllVdeyeqrr54777wzv//973PAAQc0FMWS2f/NusUWW+Tyyy9P586ds/LKK2fMmDG5++67s8QSS3yhTP369cuVV16ZHXbYIV/72tcycuTIrLrqqpk2bVoefPDBXHfdddl1110b2p9++ul56aWXsv/+++fGG2/MFltskcUXXzzjx4/Pddddl2effTY77rjjl/2omm377bfPwQcfnIMPPjhdunSZZcTteuutl7333jsnnXRSxo4dm0033TStW7fOCy+8kOuuuy5nn312tt1223nq77Rv3z4rr7xyrrnmmqywwgrp0qVLVl111ay66qpf+n0ccsgh+cMf/pAtttgiu+66awYPHpwpU6bkySefzPXXX59XXnllnm6U/qyZfc/9998/Q4cOTatWreb6M1phhRWyxx575OGHH06PHj1y0UUX5c0335xlpG4yo4/8P//zP7n33nubnKWvKa1bt86NN96YjTfeOOuuu2623377rL322mndunWefvrpXHnllVl88cVzwgknLJDrQPNyDWGVVVbJWmutlUMPPbRhtq6rr756loL0n//85+y3337ZbrvtssIKK2T69Om5/PLL06pVq2yzzTbNyjWvhg8fnjPOOCObbbZZdt5550yaNCnnnHNO+vfvnyeeeKKhXf/+/XPYYYfluOOOyzrrrJOtt946bdu2zcMPP5xevXrlpJNOSjLjO3Leeefl+OOPT//+/dO9e/e5risO0JKMHz8+F198ccaPH59evXolmTFK+vbbb8/FF1+cE088MX379s2dd96Z7bffPnvvvXfq6uoyZMiQ3HbbbRVO/xVVAFXn4osvLpIUDz/88CzHRo0aVSQpVllllUb7p06dWuyxxx5F586di0UXXbTYfvvti0mTJhVJiqOOOqqh3VFHHVUkKd56661ZztuxY8dZXm+99dZr9Fr33ntvkaS46qqrikMPPbTo3r170b59+2L48OHFq6++OsvzH3vssWLrrbcullhiiaJt27ZFnz59iu23376455575pppTl566aVi2223LRZbbLGiXbt2xRprrFHccssts7RLUuy7777zfN6pU6cWp512WvHNb36z6NSpU9GmTZti+eWXL3784x8XL7744iztH3300WLnnXcuevXqVbRu3bpYfPHFi4022qi49NJLi7q6umbn6NOnTzF8+PA5thk3blyRpDj11FObPH733XcXa6+9dtG+ffuitra2GDFiRPHMM880ajPzOzZu3LhG+++9995i6NChRefOnYt27doV/fr1K3bdddfikUceadTuqaeeKrbaaquGz3/FFVcsjjjiiEZtjjvuuGKppZYqampqGl7rnnvuKbbccsuiV69eRZs2bYpevXoVO+20U/H888/P9bOZ+RleccUVxfLLL1+0bdu2GDRoUHHvvfc22f6TTz4pFl988aJz587FRx99NNfzf9Ybb7xRHHjggcUKK6xQtGvXrujQoUMxePDg4oQTTijef//9Zn9ms/v9mvndn+n6668vNt1006J79+5FmzZtimWWWabYe++9iwkTJjR63qOPPlqsueaaDW3OOOOMWX6m//znP4uddtqpWGaZZYq2bdsW3bt3L7bYYotZfpZz07Fjx2LUqFENj+f0/auvry9OPPHEok+fPg0/n1tuuaUYNWpU0adPn0Ztp0+fXpx66qnFSiutVLRp06bo1q1bMWzYsOLRRx9taPPss88W6667btG+ffsiSaMcAAAwv+y7777F5y+hffDBB8WBBx7Y0Ndbfvnli1NPPbWor69v1G52f7O+++67xW677VZ07dq16NSpUzF06NDi2WefLfr06dPo79qZfezZ9Ws+7/nnny9+8IMfFMsuu2zRpk2bYtFFFy3WXnvt4te//nXx8ccfN2o7ffr04sILLyzWWWedonPnzkXr1q2LPn36FLvttlvx2GOPNbSb0zWIz5qZ9brrrmvYN7v+/Oz6nEVRFGuvvXaRpNhzzz1n+1oXXHBBMXjw4KJ9+/bFoosuWgwYMKD42c9+VrzxxhtFUcx7f+fBBx8sBg8eXLRp06bR9ZF5vQYyU1N99Q8++KA49NBDi/79+xdt2rQpunbtWnzrW98qTjvttGLatGlFUcy5//T56zXTp08vfvzjHxfdunUrSqXSLN/J2WW64447itVWW61o27ZtsdJKKzX6+XzeKqusUtTU1BT//ve/53juz3v33XeLI488shgwYEDRoUOHol27dsWqq65aHHroobP0V7/MdaDPf2/m9RrCSy+9VGy88cZF27Ztix49ehS//OUvi7vuuqvR79bLL79c7L777kW/fv2Kdu3aFV26dCk22GCD4u67727WZ7HKKqsU6623XqN9c7rm87vf/a7hGsZKK61UXHzxxbNcC5jpoosuKgYNGlS0bdu2WHzxxYv11luvuOuuuxqOT5w4sRg+fHix6KKLFklmyQHQ0iQpbrrppobHt9xyS5Gk6NixY6NtkUUWKbbffvuiKIpiwoQJxfLLL18ccsghxT//+c/i/vvvL9Zbb71io402muXvOBa8UlF8bu4bAL7yfve732XPPffMa6+9lqWXXrrScRaI6dOnp1evXhkxYkR+97vfVToOAAAAVNSgQYPSpUuX3HPPPZWOAgBzVSqVctNNN+W73/1ukuSaa67J9773vTz99NONln5Mkk6dOqVnz5454ogjcvvtt+fhhx9uOPbvf/87vXv3zpgxY7LWWmuV8y185ZnuG4BZTJgwIaVSKV26dKl0lAXm5ptvzltvvZWRI0dWOgoAAABU1COPPJKxY8fmkksuqXQUAPhCBg0alLq6ukyaNCnrrLNOk22mTp06y3KgMwva9fX1CzwjjSlSA9DgzTffzPXXX5/zzz8/Q4YMSYcOHSodab77+9//nieeeCLHHXdcBg0alPXWW6/SkQAAAKAinnrqqTz66KM5/fTTs+SSS2aHHXaodCQAmK0PP/wwL774YsPjcePGZezYsenSpUtWWGGFfO9738vIkSNz+umnZ9CgQXnrrbdyzz33ZLXVVsvw4cMzfPjwnHnmmTn22GOz00475YMPPsgvf/nL9OnTJ4MGDargO/tqqpl7EwC+Kv71r3/lkEMOSf/+/Vvs3dPnnXdefvjDH6Z79+657LLLKh0HAAAAKub666/Pbrvtlk8//TRXXXVV2rVrV+lIADBbjzzySAYNGtRQUD7ooIMyaNCgHHnkkUmSiy++OCNHjsxPf/rTrLjiivnud7+bhx9+OMsss0ySZMMNN8yVV16Zm2++OYMGDcpmm22Wtm3b5vbbb0/79u0r9r6+qqxJDQAAAAAAAEDZGEkNAAAAAAAAQNkoUgMAAAAAAABQNotUOgAAAMDC5uOPP860adMqHeMLa9OmjTUlAQAAKLtq7k/rS5eXIjUAAMBnfPzxx+nWvlM+TF2lo3xhPXv2zLhx43SuAQAAKJuPP/44fft0ysRJ1dmf1pcuL0VqAACAz5g2bVo+TF0OTN+0rcIVkj5Jfc6cOC7Tpk3TsQYAAKBspk2blomT6vLqo8umdtHq6k9P/qA+fQa/oi9dRorUAAAATWibmrRLq0rHAAAAgKpSu2hNahfVn2bOqus2BgAAAAAAAACqmpHUAAAATahJdd7VW42ZAQAAaDnqU6Q+9ZWO0Sz1KSod4SvH9QsAAAAAAAAAykaRGgAAAAAAAICyUaQGAAAAAAAAoGysSQ0AANAEa1IDAABA89UV9amrsiWe64rqWkO7JXD9AgAAAAAAAICyUaQGAAAAAAAAoGxM9w0AANAE030DAABA89WnSH2qa77vasvbErh+AQAAAAAAAEDZKFIDAAAAAAAAUDaK1AAAAAAAAACUjTWpAQAAmmBNagAAAGi++tSnvtIhmqn6Elc/1y8AAAAAAAAAKBtFagAAAAAAAADKRpEaAAAAAAAAgLKxJjUAAEATrEkNAAAAzVdXFKkrikrHaJZqy9sSuH4BAAAAAAAAQNkoUgMAAAAAAABQNorUAAAAAAAAAJSNNakBAACaUPrvVm2qMTMAAAAtR32K1Ke61niutrwtgZHUAAAAAAAAAJSNIjUAAAAAAAAAZWO6bwAAgCbUpDrv6q3GzAAAALQc9SlSV2XTZ5vuu/xcvwAAAAAAAACgbBSpAQAAAAAAACgbRWoAAAAAAAAAysaa1AAAAE2wJjUAAAA0X32KqlvjudrytgSuXwAAAAAAAABQNorUAAAAAAAAAJSNIjUAAAAAAAAAZWNNagAAgCZYkxoAAACar64oUldU1xrP1Za3JXD9AgAAAAAAAICyUaQGAAAAAAAAoGxM9w0AANCEUqrzrt5SpQMAAADwlVb/362aVFvelkCRGphnH7//QV7/xxMp6uvT6xurpsMSi1c6EgAAACzUiqI++fTJpP6dpNVSKbVeodKRAACg4hSpgbma/vEnuevnp+afF1yb6R9/kiSpab1IVvved7LZ2YelbW2nCicEAACAhU/x8R0pPvhVUvfv/9+3yMop1R6ZUpuvVzAZAABUVjXOXgeUUX1dXa7a8od5+H9HNxSok6T+0+l5/PKbc+lGoxrtBwAAAJLioz+keO/HjQrUSZLpz6Z4Z5cU0x6rTDAAAFgIKFIDc/T8H+/Ny3f+LUX9rCsyFHX1mfDIU3n88t9XIBkAwIJVU8UbAJVVFNNSTD5uNkfrk9Sl+OCEckYCACibuhRVuVFerl8Ac/TY765LqVWr2TcolfLPC64pXyAAAABY2H1yX1K8P4cG9cmnT6SY/nK5EgEAwEJFkRqYo/deeT1FXd3sGxRF3h8/oXyBAAAAYGFXNzFJaR7a6U8DAPDVpEgNzFHHnl1TqpnDPxWlUjr2WKJ8gQAAAGBhV9MlmZcpI2v0pwEA+GpSpAbmaOCorZpcj7pRm922KVMaAIDyqfS60uVak/q8887Laqutltra2tTW1mbIkCH505/+1HB8/fXXT6lUarTts88+jc4xfvz4DB8+PB06dEj37t1zyCGHZPr06c1MAtCCtN0gKbWfQ4NS0qp/ssiKZYsEAFAudUV1bpSXIjUwR6tsPyw9v75yk+tS1yzSKov3XTpf32PbCiQDAGB+WHrppXPyySfn0UcfzSOPPJINN9wwW265ZZ5++umGNj/4wQ8yYcKEhu2UU05pOFZXV5fhw4dn2rRpefDBB3PppZfmkksuyZFHHlmJtwOwUCjVdEyp04GzOzrj/9b+PKXSPEwJDgAALZAiNTBHrdq0yci7L8kKW6yffK7zvMy638xufxmdtrWdKhMOAIAvbcSIEdl8882z/PLLZ4UVVsgJJ5yQTp065aGHHmpo06FDh/Ts2bNhq62tbTh255135plnnskVV1yRgQMHZtiwYTnuuONyzjnnZNq0aZV4SwALhw6jUlr0sKTUsfH+miVSWuzXKbVdrzK5AABgIbBIpQMAC7/2i3fOjjefm3dffi2v3Pf3FPVFeq/99XT7Wr9KRwMAYDYmT57c6HHbtm3Ttm3bOT6nrq4u1113XaZMmZIhQ4Y07B89enSuuOKK9OzZMyNGjMgRRxyRDh06JEnGjBmTAQMGpEePHg3thw4dmh/+8Id5+umnM2jQoPn4rgCqR6lUSjqOSjpsn3zyQFL/TtKqV9Jm7ZRKLskBAPDV5i9iYJ4tvlzvLL5c70rHAAAoiy+yvvPCYGbm3r0b/9121FFH5eijj27yOU8++WSGDBmSjz/+OJ06dcpNN92UlVdeOUmy8847p0+fPunVq1eeeOKJ/PznP89zzz2XG2+8MUkyceLERgXqJA2PJ06cOP/eGECVKpXaJ+2GVjoGAEDZ1P93qybVlrclUKQGAABogV577bVG03LPaRT1iiuumLFjx+b999/P9ddfn1GjRuX+++/PyiuvnL322quh3YABA7Lkkktmo402yksvvZR+/cysAwAAADRfNQ4MAAAAYC5qa2sbbXMqUrdp0yb9+/fP4MGDc9JJJ2X11VfP2Wef3WTbNddcM0ny4osvJkl69uyZN998s1GbmY979uw5P94KAAAA0MIoUgMAADShpoq3L6u+vj6ffPJJk8fGjh2bJFlyySWTJEOGDMmTTz6ZSZMmNbS56667Ultb2zBlOAAAAF8d9Smlrsq2+pQq/bF95ZjuGwAA4Cvs0EMPzbBhw7LMMsvkgw8+yJVXXpn77rsvd9xxR1566aVceeWV2XzzzbPEEkvkiSeeyIEHHph11103q622WpJk0003zcorr5xddtklp5xySiZOnJjDDz88++677xxHbwMAAABfXYrUAAAAX2GTJk3KyJEjM2HChHTu3DmrrbZa7rjjjmyyySZ57bXXcvfdd+ess87KlClT0rt372yzzTY5/PDDG57fqlWr3HLLLfnhD3+YIUOGpGPHjhk1alSOPfbYCr4rAAAAYGGmSA0AAPAV9rvf/W62x3r37p37779/rufo06dPbrvttvkZCwAAAGjBFKkBAACaML/Wdy63aswMAABAy1FfzNiqSbXlbQlcvwAAAAAAAACgbBSpAQAAAAAAACgbRWoAAAAAAAAAysaa1AAAAE2wJjUAAAA0X11KqUup0jGapdrytgSuXwAAAAAAAAA0wwMPPJARI0akV69eKZVKufnmm+fY/sYbb8wmm2ySbt26pba2NkOGDMkdd9xRnrALIUVqAAAAAAAAgGaYMmVKVl999Zxzzjnz1P6BBx7IJptskttuuy2PPvpoNthgg4wYMSKPPfbYAk66cDLdNwAAQBNM9w0AAADN91WZ7nvYsGEZNmzYPLc/66yzGj0+8cQT8/vf/z5//OMfM2jQoGa/frVz/QIAAAAAAACgjOrr6/PBBx+kS5culY5SEUZSAwAAAAAAAF95kydPbvS4bdu2adu27QJ5rdNOOy0ffvhhtt9++wVy/oWdkdQAAAAAAADAV17v3r3TuXPnhu2kk05aIK9z5ZVX5phjjsm1116b7t27L5DXWNgZSQ0AANCE0n+3alONmQEAAGg56otS6ovq6p3OzPvaa6+ltra2Yf+CGEV99dVXZ88998x1112XjTfeeL6fv1ooUgMAAAAAAABfebW1tY2K1PPbVVddld133z1XX311hg8fvsBepxooUgMAAAAAAAA0w4cffpgXX3yx4fG4ceMyduzYdOnSJcsss0wOPfTQvP7667nsssuSzJjie9SoUTn77LOz5pprZuLEiUmS9u3bp3PnzhV5D5VkTWoAAAAAAACAZnjkkUcyaNCgDBo0KEly0EEHZdCgQTnyyCOTJBMmTMj48eMb2l9wwQWZPn169t133yy55JIN209+8pOK5K80I6kBAACaUEp13tVbXat+AQAA0NLUpZS6KuudfpG866+/foqimO3xSy65pNHj++67r9mv0ZJV4zUXAAAAAAAAAKqUIjUAAAAAAAAAZaNIDQAAAAAAAEDZWJMaAACgCTWpzrt6qzEzAAAALUddalJXZb3TukoH+Aqqrm8IAAAAAAAAAFVNkRoAAAAAAACAsjHdNwAAQBNM9w0AAADNVxSl1BelSsdolqLK8rYErl8AAAAAAAAAUDaK1AAAAAAAAACUjSI1AAAAAAAAAGVjTWoAAIAmWJMaAAAAmq8updSlutZ4rra8LYHrFwAAAAAAAACUjSI1AAAAAAAAAGWjSA0AAAAAAABA2ViTGgAAoAnWpAYAAIDmqytqUldUV++0rqh0gq+e6vqGAAAAAAAAAFDVFKkBAAAAAAAAKBvTfQMAADTBdN8AAADQfPUppb7Keqf1Md93uVXXNwQAAAAAAACAqqZIDQAAAAAAAEDZKFIDAAAAAAAAUDbWpAYAAGiCNakBAACg+epSSl1KlY7RLNWWtyVw/QIAAAAAAACAslGkBgAAAAAAAKBsFKkBAAAAAAAAKBtrUgMAADTBmtQAAADQfHVFTeqK6uqd1hVFpSN85VTXNwQAAAAAAACAqqZIDQAAAAAAAEDZKFIDAAAAAAAAUDbWpAYAAGiCNakBAACg+epTSn1KlY7RLNWWtyVw/QIAAAAAAACAslGkBgAAAAAAAKBsTPcNAADQBNN9AwAAQPPVpyZ1VdY7rU9R6QhfOdX1DQEAAAAAAACgqilSAwAAAAAAAFA2itQAAAAAAAAAlI01qQEAAGajVOkAAAAAUGXqiprUFdU1TrausCZ1uVXXNwQAAAAAAACAqqZIDQAAAAAAAEDZKFIDAAAAAAAAUDbWpAYAAGhCTarzrt5qzAwAAEDLUZ+a1FdZ77Q+1qQut+r6hgAAAAAAAABQ1RSpAQAAAAAAACgb030DAAA0wXTfAAAA0Hx1RSl1RanSMZql2vK2BK5fAAAAAAAAAFA2itQAAAAAAAAAlI0iNQAAAAAAAABlY01qAACAJliTGgAAAJqvLjWpq7LeaV2KSkf4yqmubwgAAAAAAAAAVU2RGgAAAAAAAICyUaQGAAAAAAAAoGysSQ0AANCEUpJSqdIpmq9kGS0AAAAqqL6oSX1RXeNk6wud6XKrrm8IAAAAAAAAAFVNkRoAAAAAAACAslGkBgAAAAAAAKBsrEkNAADQhJpSkZoqXOC5JkVSfbEBAABoIepSk7oqGydbpyNddtX1DQEAAAAAAACgqilSAwAAAAAAAFA2pvsGAABoQqk0Y6s2pcR03wAAAFRMfZK6oro61PWVDvAVZCQ1AAAAAAAAAGWjSA0AAAAAAABA2ShSAwAAAAAAAFA21qQGAABoQum/W7WpxswAAAC0HPWpSX2VjZOttrwtgU8cAAAAAAAAgLJRpAYAAAAAAACgbBSpAQAAAAAAACgba1IDAAA0oVRKSqWi0jGazZrUAAAAVFJdUZO6orrGyVZb3pbAJw4AAAAAAABA2ShSAwAAAAAAAFA2pvsGAABowozpviudovmqMDIAAAAtSH1Kqa+y3mm15W0JjKQGAAAAAAAAoGwUqQEAAAAAAAAoG0VqAAAAAAAAAMrGmtQAAABNsCY1AAAANF9dUZO6orrGyVZb3pbAJw4AAAAAAABA2ShSAwAAAAAAAFA2itQAAAAAAAAAlI01qQEAAJpQUypSUyoqHaPZalJ9mQEAAGg56lKTuiobJ1tteVsCnzgAAAAAAAAAZaNIDQAAAAAAAEDZKFIDAAAAAAAAUDbWpAYAAGhC6b9btanGzAAAALQc9UUp9UV19U6rLW9LYCQ1AAAAAAAAAGWjSA0AAAAAAABA2ZjuGwAAoCmlpGS2LwAAAGiW+tSkrsrGydZXWd6WwCcOAAAAAAAAQNkoUgMAAAAAAABQNorUAAAAAAAAAJSNNakBAACaUKrSNamrMDIAAAAtSH1Rk/qiusbJVlvelsAnDgAAAAAAAEDZKFIDAAAAAAAAUDaK1AAAAAAAAACUjTWpAQAAmlAqFSmVikrHaLZSqi8zAAAALUddSqlLqdIxmqXa8rYERlIDAAAAAAAAUDaK1AAAAAAAAACUjem+AQAAmlBTmrFVG3ciAwAAUEn1RU3qi+rqnVZb3pbAJw4AAAAAAABA2ShSAwAAAAAAAFA2itQAAAAAAAAAlI01qQEAAJpQKs3Yqk0VRgYAAKAFqUtSV2W907pKB/gKMpIaAAAAAAAAgLJRpAYAAAAAAACgbBSpAQAAvsLOO++8rLbaaqmtrU1tbW2GDBmSP/3pTw3HP/744+y7775ZYokl0qlTp2yzzTZ58803G51j/PjxGT58eDp06JDu3bvnkEMOyfTp08v9VgAAAIAqYU1qAACAJpRSpJSi0jGarbmZl1566Zx88slZfvnlUxRFLr300my55ZZ57LHHssoqq+TAAw/Mrbfemuuuuy6dO3fOfvvtl6233jp/+9vfkiR1dXUZPnx4evbsmQcffDATJkzIyJEj07p165x44okL4i0CAACwEKsvalJfVNc42WrL2xKUiqKovqsuAAAAC8jkyZPTuXPn/KVjn3QqVV8n9cOiPutMeTXvv/9+amtrv9A5unTpklNPPTXbbrttunXrliuvvDLbbrttkuTZZ5/N1772tYwZMyZrrbVW/vSnP2WLLbbIG2+8kR49eiRJzj///Pz85z/PW2+9lTZt2sy39wYAAMDCa2Z/+vCHNk27Tq0rHadZPv7w0xy/1p1fqi9N81TfFRcAAAAWiLq6ulx99dWZMmVKhgwZkkcffTSffvppNt5444Y2K620UpZZZpmMGTMmSTJmzJgMGDCgoUCdJEOHDs3kyZPz9NNPl/09AAAAAAs/030DAAC0QJMnT270uG3btmnbtm2TbZ988skMGTIkH3/8cTp16pSbbropK6+8csaOHZs2bdpkscUWa9S+R48emThxYpJk4sSJjQrUM4/PPAYAAADweYrUAAAATSiVZmzVZmbk3r17N9p/1FFH5eijj27yOSuuuGLGjh2b999/P9dff31GjRqV+++/f8EGBQAAoEWqK2pSV2VrPFdb3pZAkRoAAKAFeu211xqtozW7UdRJ0qZNm/Tv3z9JMnjw4Dz88MM5++yzs8MOO2TatGl57733Go2mfvPNN9OzZ88kSc+ePfOPf/yj0fnefPPNhmMAAAAAn+e2AAAAgBaotra20TanIvXn1dfX55NPPsngwYPTunXr3HPPPQ3HnnvuuYwfPz5DhgxJkgwZMiRPPvlkJk2a1NDmrrvuSm1tbVZeeeX594YAAACAFsNIagAAgCZU+3Tf8+rQQw/NsGHDsswyy+SDDz7IlVdemfvuuy933HFHOnfunD322CMHHXRQunTpktra2vz4xz/OkCFDstZaayVJNt1006y88srZZZddcsopp2TixIk5/PDDs++++zarMA4AAEDLUKSU+mb3TiurqLK8LYEiNQAAwFfYpEmTMnLkyEyYMCGdO3fOaqutljvuuCObbLJJkuTMM89MTU1Nttlmm3zyyScZOnRozj333Ibnt2rVKrfcckt++MMfZsiQIenYsWNGjRqVY489tlJvCQAAAFjIlYqiKCodAgAAYGExefLkdO7cOX9btE86lapvhaQPi/qs/cGref/99xutSQ0AAAAL0sz+9C/GDEvbTq0rHadZPvnw05w85E/60mVUfVdcAAAAAAAAAKhapvsGAABoQk2pSE2p+iaeqkn1ZQYAAKDlqCtqUldU1zjZasvbEvjEAQAAAAAAACgbRWoAAAAAAAAAykaRGgAAAAAAAICysSY1AABAE0qlGVu1qcLIAAAAtCD1RSn1RXX1Tqstb0tgJDUAAAAAAAAAZaNIDQAAAAAAAEDZmO4bAACgCaVU59TZ1ZgZAACAlqMuNamrsnGy1Za3JfCJAwAAAAAAAFA2itQAAAAAAAAAlI0iNQAAAAAAAABlY01qAACAJpRKRUqlotIxmq2U6ssMAABAy1FflFJflCodo1mqLW9LYCQ1AAAAAAAAAGWjSA0AAAAAAABA2ShSAwAAAAAAAFA21qQGAABoQqk0Y6s2VRgZAACAFqQ+NamvsnGy1Za3JfCJAwAAAAAAAFA2itQAAAAAAAAAlI0iNQAAAAAAAABlY01qAACAJtQkqanCBZ5rikonAAAA4KusriilrqiuDnW15W0JjKQGAAAAAAAAoGwUqQEAAAAAAAAoG9N9AwAANKFUKlIqVd/c2dWYGQAAgJajviilvsqmz662vC2BkdQAAAAAAAAAzfDAAw9kxIgR6dWrV0qlUm6++ea5Pue+++7L17/+9bRt2zb9+/fPJZdcssBzLqwUqQEAAAAAAACaYcqUKVl99dVzzjnnzFP7cePGZfjw4dlggw0yduzYHHDAAdlzzz1zxx13LOCkCyfTfQMAAAAAAAA0w7BhwzJs2LB5bn/++eenb9++Of3005MkX/va1/LXv/41Z555ZoYOHbqgYi60FKkBAABmw4pUAAAA0DxFUZP6oromcy7+m3fy5MmN9rdt2zZt27adL68xZsyYbLzxxo32DR06NAcccMB8OX+1qa5vCAAAAAAAAMAC0Lt373Tu3LlhO+mkk+bbuSdOnJgePXo02tejR49Mnjw5H3300Xx7nWphJDUAAAAAAADwlffaa6+ltra24fH8GkXNrBSpAQAAAAAAgK+82traRkXq+alnz5558803G+178803U1tbm/bt2y+Q11yYKVIDAAA0oVSasVWbaswMAABAy1GXUupSXZ3TcuQdMmRIbrvttkb77rrrrgwZMmSBv/bCyJrUAAAAAAAAAM3w4YcfZuzYsRk7dmySZNy4cRk7dmzGjx+fJDn00EMzcuTIhvb77LNPXn755fzsZz/Ls88+m3PPPTfXXnttDjzwwErErzhFagAAAAAAAIBmeOSRRzJo0KAMGjQoSXLQQQdl0KBBOfLII5MkEyZMaChYJ0nfvn1z66235q677srqq6+e008/PRdeeGGGDh1akfyVZrpvAACAJpRKRUqlotIxmq0aMwMAANBy1BdJfVFd033Xf4Gu9Prrr5+imP0TL7nkkiaf89hjjzX/xVogI6kBAAAAAAAAKBtFagAAAAAAAADKRpEaAAAAAAAAgLKxJjUAAEATakoztmpTjZkBAABoOeqLmtQX1TVOttrytgQ+cQAAAAAAAADKRpEaAAAAAAAAgLJRpAYAAAAAAACgbKxJDQAA0IRSacZWbaoxMwAAAC1HfUqpT3V1Tqstb0tgJDUAAAAAAAAAZaNIDQAAAAAAAEDZKFIDAAAAAAAAUDbWpAYAAGiCNakBAACg+eqKUuqK6uqcVlvelsBIagAAAAAAAADKRpEaAAAAAAAAgLIx3TcAAEATSilSSlHpGM1WjZkBAABoOeqLmtQX1TVOttrytgQ+cQAAAAAAAADKRpEaAAAAAAAAgLJRpAYAAAAAAACgbKxJDQAA0IRSacZWbaoxMwAAAC1HfUqpL6qrc1qf6srbEhhJDQAAAAAAAEDZKFIDAAAAAAAAUDaK1AAAAAAAAACUjTWpAQAAmlCqKaVUU31rUpWsowUAAEAFFSlV3RrPRZXlbQmMpAYAAAAAAACgbBSpAQAAAAAAACgb030DAAA0oVQzY6s2JigDAACgkuqLUuqL6uqdVlvelqAKL7kAAAAAAAAAUK0UqQEAAAAAAAAoG0VqAAAAAAAAAMrGmtQAAABNKJVmbNWmGjMDAADQctQXNakvqmucbLXlbQl84gAAAAAAAACUjSI1AAAAAAAAAGWjSA0AAAAAAABA2ViTGgAAoCk1pRlb1anGzAAAALQU9UUp9UV19U2rLW9LYCQ1AAAAAAAAAGWjSA0AAAAAAABA2ShSAwAAAAAAAFA21qQGAABoQqlmxlZtrKIFAABAJdWnlPoq651WW96WoAovuQAAAAAAAABQrRSpAQAAAAAAACgb030DAAA0oVQqpVSqvum+qjEzAAAALUd9UUp9UV1902rL2xIYSQ0AAAAAAABA2ShSAwAAAAAAAFA2itQAAAAAAAAAlI01qQEAAJpQKiWlKrytt1RUOgEAAABfZdakZl5U4SUXAAAAAAAAAKqVIjUAAAAAAAAAZaNIDQAAAAAAAEDZWJMaAACgKaXSjK3aVGNmAAAAWgxrUjMvjKQGAAAAAAAAoGwUqQEAAAAAAAAoG9N9AwAANKFUM2OrNqWi0gkAAAD4KjPdN/OiCi+5AAAAAAAAAFCtFKkBAAAAAAAAKBtFagAAAAAAAADKxprUAAAATSjVlFKqqb41qUrW0QIAAKCCiiT1qa6+aVHpAF9BRlIDAAAAAAAAUDaK1AAAAAAAAACUjSI1AAAAAAAAAGVjTWoAAIAmlEoztmpTjZkBAABoOeqLUuqL6uqcVlvelsBIagAAAAAAAADKRpEaAAAAAAAAgLJRpAYAAAAAAACgbKxJDQAA0JSapFSNt/UWlQ4AAADAV5k1qZkX1XjJBQAAAAAAAIAqpUgNAAAAAAAAQNmY7hsAAKApNaUZW7UxRRkAAAAVZLpv5oWR1AAAAAAAAACUjSI1AAAAAAAAAGWjSA0AAAAAAABA2ViTGgAAoAml0oyt2lRjZgAAAFoOa1IzL4ykBgAAAAAAAKBsFKkBAAAAAAAAKBtFagAAAAAAAADKxprUAAAATSjVlFKqqb41qUrW0QIAAKCCiqKUosr6ptWWtyUwkhoAAAAAAACAslGkBgAAAAAAAKBsTPcNAADQhFLNjK3alIpKJwAAAOCrrD6l1Ke6ps+utrwtQRVecgEAAAAAAACgWilSAwAAAAAAAFA2itQAAAAAAAAAlI01qQEAAJpQKpVSKlXfmlTVmBkAAICWo74opb6orr5pteVtCYykBgAAAAAAAKBsFKkBAAC+wk466aR885vfzKKLLpru3bvnu9/9bp577rlGbdZff/2GkeUzt3322adRm/Hjx2f48OHp0KFDunfvnkMOOSTTp08v51sBAAAAqoTpvgEAAL7C7r///uy777755je/menTp+eXv/xlNt100zzzzDPp2LFjQ7sf/OAHOfbYYxsed+jQoeG/6+rqMnz48PTs2TMPPvhgJkyYkJEjR6Z169Y58cQTy/p+AAAAgIWfIjUAAEBTSqnOuafqm9f89ttvb/T4kksuSffu3fPoo49m3XXXbdjfoUOH9OzZs8lz3HnnnXnmmWdy9913p0ePHhk4cGCOO+64/PznP8/RRx+dNm3aNPttAAAAUJ2KopSiytZ4rra8LUE1XnIBAABgAXn//feTJF26dGm0f/To0enatWtWXXXVHHrooZk6dWrDsTFjxmTAgAHp0aNHw76hQ4dm8uTJefrpp8sTHAAAAKgaRlIDAAC0QJMnT270uG3btmnbtu0cn1NfX58DDjgga6+9dlZdddWG/TvvvHP69OmTXr165YknnsjPf/7zPPfcc7nxxhuTJBMnTmxUoE7S8HjixInz4+0AAAAALYgiNQAAQAvUu3fvRo+POuqoHH300XN8zr777punnnoqf/3rXxvt32uvvRr+e8CAAVlyySWz0UYb5aWXXkq/fv3mW2YAAADgq0GRGgAAoAml0oyt2szM/Nprr6W2trZh/9xGUe+333655ZZb8sADD2TppZeeY9s111wzSfLiiy+mX79+6dmzZ/7xj380avPmm28myWzXsQYAAKBlqi9Kqa+yNZ6rLW9LYE1qAACAFqi2trbRNrsidVEU2W+//XLTTTflz3/+c/r27TvXc48dOzZJsuSSSyZJhgwZkieffDKTJk1qaHPXXXeltrY2K6+88pd/MwAAAECLYiQ1AADAV9i+++6bK6+8Mr///e+z6KKLNqwh3blz57Rv3z4vvfRSrrzyymy++eZZYokl8sQTT+TAAw/Muuuum9VWWy1Jsummm2bllVfOLrvsklNOOSUTJ07M4Ycfnn333XeuI7gBAACArx5FagAAgCaUapJSTfVN91Vq5nxZ5513XpJk/fXXb7T/4osvzq677po2bdrk7rvvzllnnZUpU6akd+/e2WabbXL44Yc3tG3VqlVuueWW/PCHP8yQIUPSsWPHjBo1Kscee+yXfTsAAABUmaIopaiy6bOrLW9LoEgNAADwFVYUxRyP9+7dO/fff/9cz9OnT5/cdttt8ysWAAAA0IJZkxoAAAAAAACAslGkBgAAAAAAAKBsTPcNAADQhBlrUlc6RfNVY2YAAABajqIopb7K1ni2JnX5uXwBAAAAAAAAQNkoUgMAAAAAAABQNorUAAAAAAAAAJSNNakBAACaUirN2KpNNWYGAACgxSiSFEWlUzRPlcVtEYykBgAAAAAAAKBsFKkBAAAAAAAAKBvTfQMAADShVDNjqzbVmBkAAICWoz6llFJdS1HVV1nelsDlCwAAAAAAAADKRpEaAAAAAAAAgLJRpAYAAAAAAACgbKxJDcyz4p23U/fEI0ldXWpWGZianktVOhIAwAJTqimlVFN9a1JVY2YAAABajqIopSiqq29abXlbAkVqYK6KqVPyyVnHpu6uPyR1df/dW0qrb2+Ytj87IaXFulQ0HwAAAAAAANXDdN/AHBXTp+fjn/0gdXf+/jMF6iQpUvfgffnoxzunmDqlYvkAAAAAAACoLorUwBzV/fWe1D/xSFJfP+vB+roU48dl+m03lD8YAAAAAAAAVcl038AcTf/TDUlNTdNF6v/69JZr03rbkWVMBQCw4JVKM7ZqU42ZAQAAaDnqi1JKVbbGc32V5W0JjKQG5qj+rYlzLFCnKFK8Pal8gQAAAAAAAKhqitTAHNV06zljJPVslVLq2r1seQAAAAAAAKhuitTAHC2y+TZzHkldSlpvsX35AgEAAAAAAFDVrEkNzFGrtTdKzerfTP2Tj85arK5pldIyfWcUsgEAWphSTSmlmupbk6oaMwMAANByFMWMrZpUW96WwEhqYI5KiyySdqf8Nq022ypp9Zn7WkqltFp7g7T/nytS6tCxcgEBAAAAAACoKkZSA3NVat8h7X5xUoq9D07dE48k9fWpWXn11PToVeloAAAAAAAAVBlFamCelRZfIousN7TSMQAAyqP0363aVGNmAAAAWoyiKKUoqqtzWm15WwLTfQMAAFBRu+++ez744INZ9k+ZMiW77757BRIBAAAAC5IiNQAAABV16aWX5qOPPppl/0cffZTLLrusAokAAACABcl03wAAAFTE5MmTUxRFiqLIBx98kHbt2jUcq6ury2233Zbu3btXMCEAAACwIChSAwAANKFUM2OrNtWUebHFFkupVEqpVMoKK6wwy/FSqZRjjjmmAskAAAD4oqxJzbxQpAYAAKAi7r333hRFkQ033DA33HBDunTp0nCsTZs26dOnT3r16lXBhAAAAMCCoEgNAABARay33npJknHjxmWZZZZJqeTOdQAAAPgqqKKJ4AAAAGiJ/vznP+f666+fZf91112XSy+9tAKJAAAAgAVJkRoAAKAJpVIppZoq3KpwNPJJJ52Url27zrK/e/fuOfHEEyuQCAAAgC+qvihV5UZ5KVIDAABQUePHj0/fvn1n2d+nT5+MHz++AokAAACABUmRGgAAgIrq3r17nnjiiVn2P/7441liiSUqkAgAAAAWLuPHj09RFLPsL4qiKm/wXqTSAQAAABZGpdKMrdpUY+addtop+++/fxZddNGsu+66SZL7778/P/nJT7LjjjtWOB0AAADNURQztmpSDXn79u2bCRMmpHv37o32v/POO+nbt2/q6uoqlOyLUaQGAACgoo477ri88sor2WijjbLIIjO6qfX19Rk5cqQ1qQEAACAzRkyXmrgz/cMPP0y7du0qkOjLUaQGAACgotq0aZNrrrkmxx13XB5//PG0b98+AwYMSJ8+fSodDQAAACrqoIMOSpKUSqUcccQR6dChQ8Oxurq6/P3vf8/AgQMrlO6LU6QGAABgobDCCitkhRVWqHQMAAAAWGg89thjSWaMpH7yySfTpk2bhmNt2rTJ6quvnoMPPrhS8b4wRWoAAIAmlGpKKdVU3wLP1Zg5Sf7973/nD3/4Q8aPH59p06Y1OnbGGWdUKBUAAADNNWNN6urqmy7Ma1Lfe++9SZLddtstZ599dmprayucaP5QpAYAAKCi7rnnnnznO9/Jcsstl2effTarrrpqXnnllRRFka9//euVjgcAAAAVd9ZZZ2X69Omz7H/nnXeyyCKLVF3xuqbSAQAAAPhqO/TQQ3PwwQfnySefTLt27XLDDTfktddey3rrrZftttuu0vEAAACg4nbcccdcffXVs+y/9tprs+OOO1Yg0ZejSA0AAEBF/etf/8rIkSOTJIssskg++uijdOrUKccee2x+9atfVTgdAAAANO2cc87Jsssum3bt2mXNNdfMP/7xjzm2P+uss7Liiiumffv26d27dw488MB8/PHH8/Raf//737PBBhvMsn/99dfP3//+9y+Uv5JM9w0AANCUmlTnbb1VmLljx44N61AvueSSeemll7LKKqskSd5+++1KRgMAAKCZiqJUhWtSNz/vNddck4MOOijnn39+1lxzzZx11lkZOnRonnvuuXTv3n2W9ldeeWV+8Ytf5KKLLsq3vvWtPP/889l1111TKpVyxhlnzPX1Pvnkkyan+/7000/z0UcfNTt/pVXh5QsAAABakrXWWit//etfkySbb755fvrTn+aEE07I7rvvnrXWWqvC6QAAAGBWZ5xxRn7wgx9kt912y8orr5zzzz8/HTp0yEUXXdRk+wcffDBrr712dt555yy77LLZdNNNs9NOO8119PVMa6yxRi644IJZ9p9//vkZPHjwl3ovlWAkNQAAABV1xhln5MMPP0ySHHPMMfnwww9zzTXXZPnll5+nu8kBAACgnKZNm5ZHH300hx56aMO+mpqabLzxxhkzZkyTz/nWt76VK664Iv/4xz+yxhpr5OWXX85tt92WXXbZZZ5e8/jjj8/GG2+cxx9/PBtttFGS5J577snDDz+cO++888u/qTJTpAYAAKBi6urq8u9//zurrbZakhlTf59//vkVTgUAAMBX0eTJkxs9btu2bdq2bTtLu7fffjt1dXXp0aNHo/09evTIs88+2+S5d95557z99tv59re/naIoMn369Oyzzz755S9/OU/Z1l577YwZMyannnpqrr322rRv3z6rrbZafve732X55Zefx3e48FCkBgAAaEpNacZWbaosc6tWrbLpppvmX//6VxZbbLFKxwEAAOBLKv67VZOZeXv37t1o/1FHHZWjjz56vrzGfffdlxNPPDHnnntu1lxzzbz44ov5yU9+kuOOOy5HHHHEPJ1j4MCBGT169HzJU2mK1AAAAFTUqquumpdffjl9+/atdBQAAAC+wl577bXU1tY2PG5qFHWSdO3aNa1atcqbb77ZaP+bb76Znj17NvmcI444Irvsskv23HPPJMmAAQMyZcqU7LXXXjnssMNSU1Mzzzk//vjjTJs2rdG+z+auBvP+bgEAAGABOP7443PwwQfnlltuyYQJEzJ58uRGGwAAAJRDbW1to212Reo2bdpk8ODBueeeexr21dfX55577smQIUOafM7UqVNnKUS3atUqSVIUcx97PnXq1Oy3337p3r17OnbsmMUXX7zRVm2MpAYAAGhKTarztt4qynzsscfmpz/9aTbffPMkyXe+852USv8/XXlRFCmVSqmrq6tURAAAAJqpKEopiupaiuqL5D3ooIMyatSofOMb38gaa6yRs846K1OmTMluu+2WJBk5cmSWWmqpnHTSSUmSESNG5IwzzsigQYMapvs+4ogjMmLEiIZi9Zwccsghuffee3Peeedll112yTnnnJPXX389v/nNb3LyySc3O3+lKVIDAABQEcccc0z22Wef3HvvvZWOAgAAAM2yww475K233sqRRx6ZiRMnZuDAgbn99tvTo0ePJMn48eMbjZw+/PDDUyqVcvjhh+f1119Pt27dMmLEiJxwwgnz9Hp//OMfc9lll2X99dfPbrvtlnXWWSf9+/dPnz59Mnr06Hzve99bIO9zQSkV8zJ+HAAA4Cti8uTJ6dy5c975zkqpbT33O5kXNpM/rUuXPzyb999/f6Ffj6qmpiYTJ05M9+7dKx0FAACAL2lmf3q5y36ZVh3aVTpOs9RN/Tgvjzxxoe5Ld+rUKc8880yWWWaZLL300rnxxhuzxhprZNy4cRkwYEA+/PDDSkdsFiOpAQAAqJjPTu8N0BI9+/6b+cP4J/LuJ1OzZIfO2arP6undsfrWDAQAoLKWW265jBs3Lssss0xWWmmlXHvttVljjTXyxz/+MYsttlil4zWbIjUAAEBTakoztmpTZZlXWGGFuRaq33nnnTKlAZh/ptXX5dBHfp9b/v1UWpVmTvNY5NxnH8gPVlg7B62yoRt1AICWqfjvVk2qIO9uu+2Wxx9/POutt15+8YtfZMSIEfnf//3ffPrppznjjDMqHa/ZFKkBAAComGOOOSadO3eudAyA+e6kJ+7Irf9+OklSV9Q3OnbB83/LEu06Ztf+a1UiGgAAVejAAw9s+O+NN944zz77bB599NH0798/q622WgWTfTGK1AAAAFTMjjvuaE1qoMV5++MPc824f6aYw5Cc85/9a7633DfTuqZVGZMBAFCNPv3002y22WY5//zzs/zyyydJ+vTpkz59+lQ42RdXM/cmAAAAMP+Z5hZoqR5488VZRk9/3rvTpuaJd18vUyIAAKpZ69at88QTT1Q6xnylSA0AANCUmireqkRRVMGiXwBfwEfTP52ndh/PYzsAgKpSlFJU2ZZi4b+J+vvf/35+97vfVTrGfGO6bwAAACqivn7OowwBqtUKnee+jEEpSb9Fuy34MAAAtAjTp0/PRRddlLvvvjuDBw9Ox44dGx0/44wzKpTsi1GkBgAAAID56BtLLJO+nZbIq1PeSX0Ts0a0KpWyTo/+6dmhtgLpAACoJq1atcqECRPy1FNP5etf/3qS5Pnnn2/UphqX01KkBgAAaEpNacZWbaoxM0ALUyqVcuo3t8ouD1yaafXTU/eZQnWrUild2nbMUQM3r2BCAIAFpyhmbNVkYc47c6mse++9t8JJ5q8qWq0MAAAAAKrDgMV75cYNf5Atlh6QRUozLsG1b9U6O/X9Rm7Y4Afp1aFzhRMCAEDlGEkNAAAAAAvAcot2zSnf/G6OHzwiUz79JIu2bpdFaowZAQCgeS688MJ06tRpjm3233//MqWZPxSpAQAAqKhLL700Xbt2zfDhw5MkP/vZz3LBBRdk5ZVXzlVXXZU+ffpUOCHAl9OmplXatO1Q6RgAAFSp888/P61atZrt8VKppEgNAADQIliTumxOPPHEnHfeeUmSMWPG5JxzzsmZZ56ZW265JQceeGBuvPHGCicEAABgXhVFKUVRXX3ThT3vI488ku7du1c6xnylSA0AAEBFvfbaa+nfv3+S5Oabb84222yTvfbaK2uvvXbWX3/9yoYDAACACiqVFu4C+hdlERwAAAAqqlOnTvnPf/6TJLnzzjuzySabJEnatWuXjz76qJLRAAAAoKKKoqh0hAXCSGoAAAAqapNNNsmee+6ZQYMG5fnnn8/mm2+eJHn66aez7LLLVjYcAAAAVNBRRx2VTp06VTrGfGckNQAAQFNKmdFjqratCmcBO+ecczJkyJC89dZbueGGG7LEEkskSR599NHstNNOFU4HAABAsxSl6twWUkcddVQ6dOhQ6RjznZHUAAAAVNRiiy2W//3f/51l/zHHHFOBNAAAAMCCpkgNAABART3wwANzPL7uuuuWKQkAAABQDorUAAAAVNT6668/y75S6f+nWqurqytjGgAAAGBBU6QGAABoSk1pxlZtqjDzu+++2+jxp59+msceeyxHHHFETjjhhAqlAgAA4IsoihlbNamGvB999FGKomhYn/rVV1/NTTfdlJVXXjmbbrpphdM1nyI1AAAAFdW5c+dZ9m2yySZp06ZNDjrooDz66KMVSAUAAAALjy233DJbb7119tlnn7z33ntZc80107p167z99ts544wz8sMf/rDSEZulptIBAAAAoCk9evTIc889V+kYAAAAUHH//Oc/s8466yRJrr/++vTo0SOvvvpqLrvssvzP//xPhdM1n5HUAAAATalJdd7WW4WZn3jiiUaPi6LIhAkTcvLJJ2fgwIGVCQUAAMAXU/x3qyZVkHfq1KlZdNFFkyR33nlntt5669TU1GSttdbKq6++WuF0zadIDQAAQEUNHDgwpVIpxecWAVtrrbVy0UUXVSgVAAAALDz69++fm2++OVtttVXuuOOOHHjggUmSSZMmpba2tsLpmk+RGgAAgIoaN25co8c1NTXp1q1b2rVrV6FEAAAAsHA58sgjs/POO+fAAw/MRhttlCFDhiSZMap60KBBFU7XfIrUAAAAVFSfPn1m2ffee+8pUgMAAMB/bbvttvn2t7+dCRMmZPXVV2/Yv9FGG2WrrbaqYLIvpgpXKwMAACiDmlL1blXmV7/6Va655pqGx9tvv326dOmSpZZaKo8//ngFkwEAANBcRVGqyq0a9OzZM4MGDUpNzf+XeNdYY42stNJKFUz1xRhJDQAAQEWdf/75GT16dJLkrrvuyl133ZXbb7891157bQ455JDceeedFU4IAAAAlbXBBhukVJp9Mf3Pf/5zGdN8eYrUAAAAVNTEiRPTu3fvJMktt9yS7bffPptuummWXXbZrLnmmhVOBwAAAJU3cODARo8//fTTjB07Nk899VRGjRpVmVBfgiI1AAAAFbX44ovntddeS+/evXP77bfn+OOPT5IURZG6uroKpwMAAIDKO/PMM5vcf/TRR+fDDz8sc5ovz5rUAAAATSlV8VZltt566+y8887ZZJNN8p///CfDhg1Lkjz22GPp379/hdMBAADQbEWVbVXs+9//fi666KJKx2g2I6kBAACoqDPPPDPLLrtsXnvttZxyyinp1KlTkmTChAn50Y9+VOF0AAAAsPAaM2ZM2rVrV+kYzaZIDQAAQEW1bt06Bx988Cz7DzzwwAqkAQAAgIXP1ltv3ehxURSZMGFCHnnkkRxxxBEVSvXFKVIDAABQcS+88ELuvffeTJo0KfX19Y2OHXnkkRVKBQAAAAuHzp07N3pcU1OTFVdcMccee2w23XTTCqX64hSpAQAAmlJTmrFVmyrM/Nvf/jY//OEP07Vr1/Ts2TOl0v+/h1KppEgNAABQRYqilKKorr5pNeS9+OKLKx1hvlKkBgAAoKKOP/74nHDCCfn5z39e6SgAAACwUHrttddSKpWy9NJLJ0n+8Y9/5Morr8zKK6+cvfbaq8Lpmq+m0gEAAAD4anv33Xez3XbbVToGAAAALLR23nnn3HvvvUmSiRMnZuONN84//vGPHHbYYTn22GMrnK75FKkBAACaMnO672rcqsx2222XO++8s9IxAAAAmB+KKt0Wck899VTWWGONJMm1116bAQMG5MEHH8zo0aNzySWXVDbcF2C6bwAAACqqf//+OeKII/LQQw9lwIABad26daPj+++/f4WSAQAAwMLh008/Tdu2bZMkd999d77zne8kSVZaaaVMmDChktG+EEVqAAAAKuqCCy5Ip06dcv/99+f+++9vdKxUKilSAwAA8JW3yiqr5Pzzz8/w4cNz11135bjjjkuSvPHGG1liiSUqnK75FKkBAACoqHHjxlU6AgAAACzUfvWrX2WrrbbKqaeemlGjRmX11VdPkvzhD39omAa8mihSAwAANKXmv1u1qcbM/zVt2rSMGzcu/fr1yyKL6K4CAABUp9J/t2qy8Oddf/318/bbb2fy5MlZfPHFG/bvtdde6dChQwWTfTFVfPkCAACAlmDq1KnZY4890qFDh6yyyioZP358kuTHP/5xTj755AqnAwAAgIVDq1atGhWok2TZZZdN9+7dK5Toi1OkBgAAoKIOPfTQPP7447nvvvvSrl27hv0bb7xxrrnmmgomAwAAgIXDm2++mV122SW9evXKIossklatWjXaqo350wAAAKiom2++Oddcc03WWmutlEr/P8XaKquskpdeeqmCyQAAAGDhsOuuu2b8+PE54ogjsuSSSzbqP1cjRWoAAICm1JRmbNWmCjO/9dZbTU5NNmXKlKrvdAMAAHzlFP/dqkkV5P3rX/+av/zlLxk4cGClo8wXpvsGAACgor7xjW/k1ltvbXg8szB94YUXZsiQIZWKBQAAAAuN3r17pyiqoJo+j4ykBgAAoKJOPPHEDBs2LM8880ymT5+es88+O88880wefPDB3H///ZWOBwAAABV31lln5Re/+EV+85vfZNlll610nC9NkRoAAKAJpVJSqsK5p6pxduxvf/vbGTt2bE4++eQMGDAgd955Z77+9a9nzJgxGTBgQKXjAQAA0Bym+14gdthhh0ydOjX9+vVLhw4d0rp160bH33nnnQol+2IUqQEAAKi4fv365be//W2lYwAAAMBC6ayzzqp0hPlKkRoAAICKeOONN3LGGWfkyCOPTG1tbaNj77//fo4//vgcfPDB6dGjR4USAgAAwMJh1KhRlY4wX1Xh5HVApRTTP03xzztSf+HBqf/13qm/9uQU/36u0rEAAKhSZ5xxRiZPnjxLgTpJOnfunA8++CBnnHFGBZIBAADAwuell17K4Ycfnp122imTJk1KkvzpT3/K008/XeFkzadIDcyT4v23U5yyc4pLD0ueeiB58dFkzE0pTv1e6n9/doqiChZsAABojppS9W5V4vbbb8/IkSNne3zkyJG55ZZbypgIAACAL60oVee2kLv//vszYMCA/P3vf8+NN96YDz/8MEny+OOP56ijjqpwuuZTpAbmqiiKFBcelLw1/r876mf8//q6Gf//z5cnY26uSDYAAKrXuHHjsswyy8z2+NJLL51XXnmlfIEAAABgIfWLX/wixx9/fO666660adOmYf+GG26Yhx56qILJvhhFamDuXnkiGf/M/xelZ1FKcc+lRlMDANAs7du3n2MR+pVXXkn79u3LFwgAAAAWUk8++WS22mqrWfZ37949b7/9dgUSfTmK1MBcFf8ak9S0mlOL5O1/J++8UbZMAABUvzXXXDOXX375bI9fdtllWWONNcqYCAAAABZOiy22WCZMmDDL/sceeyxLLbVUBRJ9OYtUOgBQBerqkszDegx10xd4FACAsqlJdd7WW0WZDz744GyyySbp3LlzDjnkkPTo0SNJ8uabb+aUU07JJZdckjvvvLPCKQEAAGiOopixVZNqyLvjjjvm5z//ea677rqUSqXU19fnb3/7Ww4++OCMHDmy0vGaTZEamKvSMiunqJ9LAbpDbdKlV3kCAQDQImywwQY555xz8pOf/CRnnnlmamtrUyqV8v7776d169b59a9/nQ033LDSMQEAAKDiTjzxxOy7777p3bt36urqsvLKK6euri4777xzDj/88ErHazZFamDuVl0nqe2afPBOUtTPerxUk3x725QWaV3+bAAAVLW99947W2yxRa699tq8+OKLKYoiK6ywQrbddtssvfTSlY4HAAAAC4U2bdrkt7/9bY488sg8+eST+fDDDzNo0KAsv/zylY72hShSA3NVarVIsudpKc75YfLptKS+buaRJEXSb2BKm+5RyYgAAFSxpZZaKgceeGClYwAAAMBCafLkyenUqVNqav6PvfuOj6rK/z/+PnfSeygJxUhAQECkqogKFhAFOxYsu1j4qou4olj5Krr6U1Fcsa98dVV07WJbG6iogIAiSFWkIyCETkJ6MnN/f0wIxPQ2d+7k9Xw8ziZz70nyjsskmfu553MspaWlKS0tTZLk8/mUlZWlhIQEhxPWnot2KwPgJNOuu8ydb0sDLpFik6SwCKlVB5mL75IZ/ZxMeKTTEQEAABqWZdw7AAAAAABwiu3SEaQ+/PBDHXPMMcrPzy93Li8vT8cee6w++eQTB5LVDyupAdSYad5WZvit0vBbnY4CAAAAAAAAAAAQ8p5//nndcccdiomJKXcuNjZWd955p5599lmdc845DqSrO1ZSAwAAAAAAAAAAAEAQWrFihU455ZRKzw8cOFDLly8PXKAGwkpqAAAAAKiIW1tnuzEzAAAAACB02MY/3CSI8+7du1fFxcWVni8qKtLevXsDmKhhsJIaAAAAAOCoK6+8UrNnz3Y6BgAAAAAAQSc9PV0LFy6s9PzChQvVrl27ACZqGBSpAQAAAKAJmzhxoo499ljFx8crJSVF559/vlatWlVmTn5+vsaMGaPmzZsrLi5OF154obZv315mzqZNm3TWWWcpJiZGKSkpuv3226u80/tQmZmZGjx4sDp16qSHH35Yf/zxR4N9fwAAAAAAuNnw4cN19913l3sdLkkZGRm65557dOGFFzqQrH4oUgMAAABAEzZr1iyNGTNGP/zwg7766isVFRVpyJAhysnJKZ1zyy236JNPPtF7772nWbNmaevWrRo+fHjpea/Xq7POOkuFhYWaN2+eXn31VU2dOlX33ntvjTJ89NFH+uOPPzR69Gi98847Sk9P19ChQzVt2jQVFRU1+PcMAAAAAIBb3HXXXYqPj1enTp10ww036KmnntJTTz2l0aNHq3PnzoqLi9Ndd93ldMxaM7Zt206HAAAAAIBgkZWVpcTERO29pa8SIj1Ox6m1rAKvkp9YpMzMTCUkJNT643fu3KmUlBTNmjVLAwcOVGZmplq2bKk333xTF110kSTpt99+U9euXTV//nwdf/zx+uKLL3T22Wdr69atSk1NlSRNmTJFd955p3bu3KmIiIhaZfj555/1yiuv6N///rfi4uL0l7/8RTfccIM6depU6+8HAAAAABAYB15Ppz31gKzoKKfj1IovL1+bx95b59fSjS0zM1Pjx4/XO++8U7r/dFJSki699FI99NBDSk5Odjhh7bGSGgAAAABCUFZWVplRUFBQo4/LzMyUJDVr1kyStGjRIhUVFWnw4MGlc7p06aLDDz9c8+fPlyTNnz9fRx99dGmBWpLOOOMMZWVl6ZdffqlV7m3btumrr77SV199JY/Ho2HDhmn58uXq1q2bnnjiiVp9LgAAAAAAQkFiYqL+9a9/adeuXdq+fbsyMjK0e/du/etf/3JlgVqiSA0AAAAAISktLU2JiYmlY+LEidV+jM/n080336wTTzxR3bt3l+Tf3yoiIkJJSUll5qampiojI6N0zqEF6gPnD5yrTlFRkd5//32dffbZateund577z3dfPPN2rp1q1599VV9/fXXevfdd/XAAw/U5FsHAAAAACAkGWPUsmVLpaSkyBjjdJx6CXM6AAAAAACg4W3evLlMi7LIyMhqP2bMmDFasWKFvv/++8aMVk7r1q3l8/l02WWXacGCBerVq1e5Oaeeemq5QjkAAAAAAHAnitQAAAAAUBFLkuXCu5JL+mUlJCTUah+tG2+8UZ9++qlmz56tww47rPR4q1atVFhYqH379pUpEm/fvl2tWrUqnbNgwYIyn2/79u2l56rzxBNP6OKLL1ZUVOV7liUlJWnDhg01/n4AAAAAAA6xS4abuC1vCKDdNwAAAAA0YbZt68Ybb9SHH36ob775Ru3bty9zvm/fvgoPD9fMmTNLj61atUqbNm1S//79JUn9+/fX8uXLtWPHjtI5X331lRISEtStW7dqM/z1r38tLVBv3rxZmzdvbohvDQAAAAAABCmK1AAAAADQhI0ZM0avv/663nzzTcXHxysjI0MZGRnKy8uTJCUmJmrUqFEaN26cvv32Wy1atEhXX321+vfvr+OPP16SNGTIEHXr1k1//etftXTpUs2YMUP33HOPxowZU6M248XFxZowYYISExOVnp6u9PR0JSYm6p577lFRUVGjfv8AAAAAALjB+vXrnY7QoGj3DQAAAAAVseTO23prmfn555+XJJ1yyilljr/yyiu66qqrJPnbcVuWpQsvvFAFBQU644wz9K9//at0rsfj0aeffqrRo0erf//+io2N1ZVXXqkHHnigRhn+/ve/64MPPtCkSZNKV2fPnz9f//jHP7R79+7SjAAAAAAAF7CNf7iJC/J27NhRJ598skaNGqWLLrqoyi2z3MDYtk2XdQAAAAAokZWVpcTERO29va8SIt13X29WQbGSH1ukzMzMWu1J7aTExES9/fbbGjp0aJnjn3/+uS677DJlZmY6lAwAAAAAUFMHXk+nPfH/ZEW7q4Dqy8vX5lsmBPVr6SVLluiVV17RW2+9pcLCQo0YMUKjRo3Scccd53S0OnHjugAAAAAAQAiJjIxUenp6uePt27dXRERE4AMBAAAAABBkevXqpaeeekpbt27Vyy+/rG3btumkk05S9+7dNXnyZO3cudPpiLVCkRoAAAAA4Kgbb7xR/+///T8VFBSUHisoKNBDDz2kG2+80cFkAAAAAAAEl7CwMA0fPlzvvfeeHn30Ua1du1a33Xab0tLSNHLkSG3bts3piDXivt51AAAAABAIlvEPt3FJ5uHDh5d5/PXXX+uwww5Tz549JUlLly5VYWGhBg0a5EQ8AAAAAEBd2SXDTVyUd+HChXr55Zf19ttvKzY2VrfddptGjRqlLVu26P7779d5552nBQsWOB2zWhSpAQAAAAABl5iYWObxhRdeWOZxWlpaIOMAAAAAABDUJk+erFdeeUWrVq3SsGHD9Nprr2nYsGGyLH/j7Pbt22vq1KkVbqcVjChSAwAAAAAC7pVXXnE6AgAAAAAArvH888/rmmuu0VVXXaXWrVtXOCclJUUvvfRSgJPVDUVqAAAAAAAAoJHYtq2swgJFWB5Fh4c7HQcAAAAutWbNmmrnRERE6MorrwxAmvqjSA0AAAAAFTGSLKdD1IE7tqQGgJBX6PXqlWWLNHXFYm3L3i9JOq71YbqhTz+dcnh7h9MBAAA0IvakbjR79+7VSy+9pJUrV0qSunbtqmuuuUbNmjVzOFntufGSCwAAAAAAABC0irxe/c8XH+iRH2aXFqglaWHGH7rqs/f1nxVLnAsHAAAAV5o9e7bS09P19NNPa+/evdq7d6+eeeYZtW/fXrNnz3Y6Xq2xkhoAAAAAAABoQG/+ulRzNv9ebkGOz/Yfue/7mRqU3kFt4hICHw4AAACuNGbMGI0YMULPP/+8PB6PJMnr9eqGG27QmDFjtHz5cocT1g4rqQEAAAAAQWffvn1ORwCAOpu6fHG1c97+1V0XEQEAAOCstWvX6tZbby0tUEuSx+PRuHHjtHbtWgeT1Q1FagAAAACoiGXcO1zm0Ucf1TvvvFP6+JJLLlHz5s3Vtm1bLV261MFkAFB7Xp9PGzL3VrmtoW3bWr1nV8AyAQAABJTt0hHk+vTpU7oX9aFWrlypnj17OpCofmj3DQAAAABw1JQpU/TGG29Ikr766it99dVX+uKLL/Tuu+/q9ttv15dffulwQgCoOcsYhVuWiny+KudEh4cHMBUAAADcaNmyZaXv33TTTRo7dqzWrl2r448/XpL0ww8/6LnnntMjjzziVMQ6o0gNAAAAAHBURkaG0tLSJEmffvqpLrnkEg0ZMkTp6enq16+fw+kAoHaMMRrSvpOmr18tr13xkhyvbWtIescAJwMAAIDb9OrVS8YY2Yf8XXnHHXeUm3f55ZdrxIgRgYxWbxSpAQAAAKAilty5QZILMycnJ2vz5s1KS0vT9OnT9eCDD0ryt8P1er0OpwOA2vtb72M1ff1qGZXvHOkxRocnJGlw+hFORAMAAGh8tvEPNwnSvBs2bHA6QqOhSA0AAAAAcNTw4cN1+eWXq1OnTtq9e7eGDh0qSVq8eLE6dmSlIQD3ObplKz1/xnm66etPVVBcLI8xkjEq9vnUPilZr519kcI9HqdjAgAAIMi1a9fO6QiNhiI1AAAAAMBRTzzxhNLT07V582ZNmjRJcXFxkqRt27bphhtucDgdANTNkPYdtWDkaH205lct37ldEZZHg9OP0MC0dHksF7a9AAAAABoQRWoAAAAAgKPmz5+vm2++WWFhZV+i/v3vf9e8efMcSgUA9ZcQGamR3Xs7HQMAAAAIOhSpAQAAAKAilvEPt3Fh5lNPPVXbtm1TSkpKmeOZmZk69dRT2ZcaAAAAAFzE2P7hJm7LGwroLQQAAAAAcJRt2zKmfHF99+7dio2NdSARAAAAAABoTKykBgAAAAA4Yvjw4ZIkY4yuuuoqRUZGlp7zer1atmyZTjjhBKfiAQAAAAAQNDp06KCffvpJzZs3L3N837596tOnj9avX+9QsrqhSA0AAAAAcERiYqIk/0rq+Ph4RUdHl56LiIjQ8ccfr2uvvdapeAAAIEQUer3yGCOPRWNRAIB7bdy4scLtsAoKCvTHH384kKh+KFIDAAAAQEXYk7rRvfLKK5Kk9PR03X777YqJiXE4EQAACBVFXq/eWLFUU5cu1u+Z+2QZo1Patdff+h6rY9sc5nQ8AAhtdslwkyDO+9///rf0/RkzZpTe8C35u5DNnDlT6enpDiSrH4rUAAAAAABHjRw5Un/88Yc6depU5viaNWsUHh7uyhfbAADAOUVer6777GPN+n1D6TGfbWvW7xv07cb1mjxkmM4/squDCQEAqLnzzz9fkn+rrCuvvLLMuQOvmR9//HEHktUP/U0AAAAAAI666qqrNG/evHLHf/zxR1111VWBDwQAAFzt9RVLNev3DeUW8nltW7akO76erl25uQ6lAwCgdnw+n3w+nw4//HDt2LGj9LHP51NBQYFWrVqls88+2+mYtUaRGgAAAAAqYrl4uMzixYt14oknljt+/PHHa8mSJYEPBAAAXG3q0p+rPO+1bU1buSJAaQAAaBgbNmxQixYtnI7RYGj3DQAAAABwlDFG+/fvL3c8MzNTXq/XgUQAAMCtCrzF2pSZWe28X3fuCEAaAAAa1syZMzVz5szSFdWHevnllx1KVTcuvMceAAAAABBKBg4cqIkTJ5YpSHu9Xk2cOFEnnXSSg8kAAIDbhBlLppo5RlJkGOu3AADucv/992vIkCGaOXOmdu3apb1795YZbsNvYgAAAACAox599FENHDhQRx55pAYMGCBJmjNnjrKysvTNN984nA4AALiJx7J0crv2mrNpo7y2XeEcr21rUPoRAU4GAED9TJkyRVOnTtVf//pXp6M0CFZSAwAAAEBFLOPe4TLdunXTsmXLdMkll2jHjh3av3+/Ro4cqd9++03du3d3Oh4AAHCZ0X2Pk6+SArXHGKUnJWlwB4rUANBYjCRju2w4/R+tBgoLC3XCCSc4HaPBsJIaAAAAAOC4Nm3a6OGHH3Y6BgAACAHHtT1Mj58+VHfMnFFarDbyr6BOS0zUf867WGEW67cAAO7yP//zP3rzzTc1YcIEp6M0CIrUAAAAAADHzZkzR//3f/+n9evX67333lPbtm31n//8R+3bt2dfagAAUGsXdOmmkw5vp/d+XaGVu3Yq0hOmwe2P0KD2HRTu8TgdDwCAWsvPz9cLL7ygr7/+Wj169FB4eHiZ85MnT3YoWd1QpAYAAAAAOOr999/XX//6V11xxRX6+eefVVBQIEnKzMzUww8/rM8//9zhhAAAwI1axsTqhmP6OR0DAIAGsWzZMvXq1UuStGLFijLnjHFDw/KyKFIDAAAAQEWskuE2Lsz84IMPasqUKRo5cqTefvvt0uMnnniiHnzwQQeTAQAAAABqzTb+4SYuyPvtt986HaFBufDyBQAAAAAglKxatUoDBw4sdzwxMVH79u0LfCAAAAAAAILU2rVrNWPGDOXl5UmSbNt2OFHdUKQGAAAAADiqVatWWrt2bbnj33//vTp06OBAIgAAAAAAgsvu3bs1aNAgde7cWcOGDdO2bdskSaNGjdKtt97qcLrao0gNAAAAAHDUtddeq7Fjx+rHH3+UMUZbt27VG2+8odtuu02jR492Oh4AAAAAAI675ZZbFB4erk2bNikmJqb0+IgRIzR9+nQHk9UNe1IDAAAAQEWM8Q+3cWHmu+66Sz6fT4MGDVJubq4GDhyoyMhI3Xbbbfr73//udDwAAAAAQG3YJcNNXJD3yy+/1IwZM3TYYYeVOd6pUyf9/vvvDqWqO4rUAAAAAABHGWN099136/bbb9fatWuVnZ2tbt26KS4uzuloAAAAAAAEhZycnDIrqA/Ys2ePIiMjHUhUP7T7BgAAAAAEhYiICHXr1k3HHXccBWoAAAAAAA4xYMAAvfbaa6WPjTHy+XyaNGmSTj31VAeT1Q0rqQEAAACgIqZkuI1LMg8fPlxTp05VQkKChg8fXuXcuLg4HXXUUfrb3/6mxMTEACUEAAAAANQJ7b4bxaRJkzRo0CAtXLhQhYWFuuOOO/TLL79oz549mjt3rtPxao0iNQAAAAAg4BITE2VK9s+urvBcUFCgKVOmaO7cufrvf/8biHgAAAAAAASV7t27a/Xq1Xr22WcVHx+v7OxsDR8+XGPGjFHr1q2djldrFKkBAAAAAAH3yiuvVPh+ZX799Vcde+yxjRkJAAAAAICglpiYqLvvvtvpGA2CIjUAAAAAIGhs2bJFknTYYYeVOX7kkUdq3rx5TkQCAAAAACAo5Ofna9myZdqxY4d8Pl+Zc+eee65DqeqGIjUAAAAAVMQY/3AbF2b2+Xx68MEH9fjjjys7O1uSFB8fr1tvvVV33323LMuSx+NRz549HU4KAAAAAKiOsf3DTdyQd/r06Ro5cqR27dpV7pwxRl6v14FUdWc5HQAAAAAA0LTdfffdevbZZ/XII49o8eLFWrx4sR5++GE988wzmjBhgtPxAAAAAABw3N///nddfPHF2rZtm3w+X5nhtgK1xEpqAAAAAIDDXn31Vf373/8u05qsR48eatu2rW644QY99NBDDqYDAAAAAMB527dv17hx45Samup0lAbBSmoAAAAAgKP27NmjLl26lDvepUsX7dmzx4FEAAAAAAAEl4suukjfffed0zEaDCupAQAAAKAy7tve2ZV69uypZ599Vk8//XSZ488++yz7UAMAAACA29glw01ckPfZZ5/VxRdfrDlz5ujoo49WeHh4mfM33XSTQ8nqhiI1AAAAAMBRkyZN0llnnaWvv/5a/fv3lyTNnz9fmzdv1ueff+5wOgAAAAAAnPfWW2/pyy+/VFRUlL777jsZc/DOemOM64rUtPsGAAAAADjq5JNP1urVq3XBBRdo37592rdvn4YPH65Vq1ZpwIABTscDAAAAAMBxd999t+6//35lZmZq48aN2rBhQ+lYv3690/FqjZXUAAAAAFARY/zDbVyWuaioSGeeeaamTJmihx56yOk4AAAAAID6ot13oygsLNSIESNkWaGxBjk0vgsAAAAAgCuFh4dr2bJlTscAAAAAACCoXXnllXrnnXecjtFgWEkNAAAAAHDUX/7yF7300kt65JFHnI4CAAAAAEBQ8nq9mjRpkmbMmKEePXooPDy8zPnJkyc7lKxuKFIDAAAAABxVXFysl19+WV9//bX69u2r2NjYMufd9kIbAAAAAICGtnz5cvXu3VuStGLFCofT1B9FagAAAACoiCV3bpDkwswrVqxQnz59JEmrV68uc864bI9tAAAAAGjqjO0fbuKGvN9++63TERoURWoAAAAAgKNC7YU2AAAAAAAN7ZprrtFTTz2l+Pj4MsdzcnL097//XS+//LJDyerGhffYAwAAAABCxTvvvKMrrrhCF198saZMmeJ0HAAAAAAAgtKrr76qvLy8csfz8vL02muvOZCoflhJDQAAAABwxPPPP68xY8aoU6dOio6O1gcffKB169bpscceczoaAAAAAABBISsrS7Zty7Zt7d+/X1FRUaXnvF6vPv/8c6WkpDiYsG4oUgMAAABARYzxD7dxUeZnn31W9913n+677z5J0uuvv67rr7+eIjUAAAAAuJlt/MNNgjhvUlKSjDEyxqhz587lzhtjdP/99zuQrH4oUgMAAAAAHLF+/XpdeeWVpY8vv/xyjRo1Stu2bVPr1q0dTAYAAAAAQHD49ttvZdu2TjvtNL3//vtq1qxZ6bmIiAi1a9dObdq0cTBh3bAnNQAAAADAEQUFBYqNjS19bFmWIiIiKtxjCwAAAACAYPPcc88pPT1dUVFR6tevnxYsWFDl/H379mnMmDFq3bq1IiMj1blzZ33++edVfszJJ5+sU045RRs2bND555+vk08+uXT079/flQVqiZXUAAAAAAAHTZgwQTExMaWPCwsL9dBDDykxMbH02OTJk52IBgAAAABApd555x2NGzdOU6ZMUb9+/fTkk0/qjDPO0KpVqyrcI7qwsFCnn366UlJSNG3aNLVt21a///67kpKSavT1Vq5cqc2bN+ukk06S5C+Qv/jii+rWrZuee+45JScnN+S31+goUgMAAABARUzJcBsXZR44cKBWrVpV5tgJJ5yg9evXlz42LtpjGwAAAAAgyS4ZblKHvJMnT9a1116rq6++WpI0ZcoUffbZZ3r55Zd11113lZv/8ssva8+ePZo3b57Cw8MlSenp6TX+erfffrseffRRSdLy5cs1btw43Xrrrfr22281btw4vfLKK7X/JhxEkRoAAAAA4IjvvvvO6QgAAAAAAJTKysoq8zgyMlKRkZHl5hUWFmrRokUaP3586THLsjR48GDNnz+/ws/93//+V/3799eYMWP08ccfq2XLlrr88st15513yuPxVJttw4YN6tatmyTp/fff1znnnKOHH35YP//8s4YNG1abbzMosCc1AAAAAAAAAAAAgCYvLS1NiYmJpWPixIkVztu1a5e8Xq9SU1PLHE9NTVVGRkaFH7N+/XpNmzZNXq9Xn3/+uSZMmKDHH39cDz74YI2yRUREKDc3V5L09ddfa8iQIZKkZs2alSuuuwErqQEAAACgIsb4h9u4MTMAAAAAIGQY2z/c5EDezZs3KyEhofR4Rauo68rn8yklJUUvvPCCPB6P+vbtqz/++EOPPfaY7rvvvmo//qSTTtK4ceN04oknasGCBXrnnXckSatXr9Zhhx3WYDkDhZXUAAAAAAAAAAAAAJq8hISEMqOyInWLFi3k8Xi0ffv2Mse3b9+uVq1aVfgxrVu3VufOncu09u7atasyMjJUWFhYbbZnn31WYWFhmjZtmp5//nm1bdtWkvTFF1/ozDPPrOm3GDRYSQ0AAAAAAAAAAAAANRQREaG+fftq5syZOv/88yX5V0rPnDlTN954Y4Ufc+KJJ+rNN9+Uz+eTZfnXEa9evVqtW7dWREREtV/z8MMP16efflru+BNPPFH3b8RBrKQGAAAAAAAAAAAAgFoYN26cXnzxRb366qtauXKlRo8erZycHF199dWSpJEjR2r8+PGl80ePHq09e/Zo7NixWr16tT777DM9/PDDGjNmTI2/5rp163TPPffosssu044dOyT5V1L/8ssvDfvNBQArqQEAAACgIqZkuI2LMi9btqxG83r06NHISQAAAAAADcYuGW5Sh7wjRozQzp07de+99yojI0O9evXS9OnTlZqaKknatGlT6YppSUpLS9OMGTN0yy23qEePHmrbtq3Gjh2rO++8s0Zfb9asWRo6dKhOPPFEzZ49Ww899JBSUlK0dOlSvfTSS5o2bVrtvwkHGdu23fbPBAAAAAAaTVZWlhITE7X3yQFKiHbffb1ZecVKvnmOMjMzlZCQ4HScKlmWJWOMKnpZeuC4MUZer9eBdAAAAACA2jjwerrDvQ/LiopyOk6t+PLztf6B/w3q19L9+/fXxRdfrHHjxik+Pl5Lly5Vhw4dtGDBAg0fPlxbtmxxOmKtuO+KCwAAAAAgJGzYsMHpCAAAAAAAuMLy5cv15ptvljuekpKiXbt2OZCofihSAwAAAAAc0a5dO6cjAAAAAADgCklJSdq2bZvat29f5vjixYvVtm1bh1LVnVX9FAAAAABogoxx73CJNWvW6LLLLlNWVla5c5mZmbr88su1fv16B5IBAAAAAOrMlozLhhv20L700kt15513KiMjQ8YY+Xw+zZ07V7fddptGjhzpdLxao0gNAAAAAHDEY489prS0tAr3+0pMTFRaWpoee+wxB5IBAAAAABBcHn74YXXp0kVpaWnKzs5Wt27dNHDgQJ1wwgm65557nI5Xa7T7BgAAAAA4YtasWXr99dcrPX/JJZfo8ssvD2AiAAAAAACCU0REhF588UVNmDBBK1asUHZ2tnr37q1OnTo5Ha1OKFIDAAAAQEUsubP3lIsyb9q0SSkpKZWeb9GihTZv3hzARAAAAACAenNJ++wyXJD3+++/10knnaTDDz9chx9+uNNx6s1Fly8AAAAAAKEkMTFR69atq/T82rVrK2wFDgAAAABAU3Paaaepffv2+t///V/9+uuvTsepN4rUAAAAAABHDBw4UM8880yl559++mkNGDAggIkAAAAAAAhOW7du1a233qpZs2ape/fu6tWrlx577DFt2bLF6Wh1QpEaAAAAAOCI8ePH64svvtBFF12kBQsWKDMzU5mZmfrxxx914YUXasaMGRo/frzTMQEAAAAAcFyLFi104403au7cuVq3bp0uvvhivfrqq0pPT9dpp53mdLxaY09qAAAAAKiIMf7hNi7K3Lt3b02bNk3XXHONPvzwwzLnmjdvrnfffVd9+vRxKB0AAAAAoE7Yk7rRtW/fXnfddZd69uypCRMmaNasWU5HqjWK1AAAAAAAx5x99tn6/fffNX36dK1du1a2batz584aMmSIYmJinI4HAAAAAEBQmTt3rt544w1NmzZN+fn5Ou+88zRx4kSnY9UaRWoAAAAAgKOio6N1wQUXOB0DAAAAAICgNX78eL399tvaunWrTj/9dD311FM677zzXHuDN3tSAwAAAAAc8c0336hbt27Kysoqdy4zM1NHHXWU5syZ40AyAAAAAACCy+zZs3X77bfrjz/+0KeffqrLLrvMtQVqiZXUAAAAAFAxUzLcxkWZn3zySV177bVKSEgody4xMVHXX3+9Jk+erAEDBjiQDgAAAABQF8b2DzdxQ965c+c6HaFBUaQGAAAAADhi6dKlevTRRys9P2TIEP3zn/8MYCIAAAAAAILXmjVr9O2332rHjh3y+Xxlzt17770OpaobitQAAAAAAEds375d4eHhlZ4PCwvTzp07A5gIAAAAAIDg9OKLL2r06NFq0aKFWrVqJWMOtlIzxlCkBgAAAACgJtq2basVK1aoY8eOFZ5ftmyZWrduHeBUAAAAAAAEnwcffFAPPfSQ7rzzTqejNAjL6QAAAAAAEJSMce9wiWHDhmnChAnKz88vdy4vL0/33Xefzj77bAeSAQAAAAAQXPbu3auLL77Y6RgNhiI1AAAAAMAR99xzj/bs2aPOnTtr0qRJ+vjjj/Xxxx/r0Ucf1ZFHHqk9e/bo7rvvdjomAAAAAACOu/jii/Xll186HaPB0O4bAAAAAOCI1NRUzZs3T6NHj9b48eNl27Yk/15aZ5xxhp577jmlpqY6nBIAAAAAAOd17NhREyZM0A8//KCjjz5a4eHhZc7fdNNNDiWrG4rUAAAAAFABl3XOLuW2zO3atdPnn3+uvXv3au3atbJtW506dVJycrLT0QAAAAAAdWGXDDdxQd4XXnhBcXFxmjVrlmbNmlXmnDGGIjUAAAAAALWVnJysY4891ukYAAAAAAAEpQ0bNjgdoUGxJzUAAAAAAAAAAAAAIGBYSQ0AAAAAAAAAAAAAQWjcuHE1mjd58uRGTtKwKFIDAAAAQEXYlBoAAAAAgFoztn+4STDnXbx4cbVzjAuvBVCkBgAAAAAEXJ8+fTRz5kwlJyfrgQce0G233aaYmBinYwEAAAAAEFS+/fZbpyM0CvakBgAAAAAE3MqVK5WTkyNJuv/++5Wdne1wIgAAAAAAECispAYAAAAABFyvXr109dVX66STTpJt2/rnP/+puLi4Cufee++9AU4HAAAAAAAaE0VqAAAAAKiIKRlu45LMU6dO1X333adPP/1Uxhh98cUXCgsr/xLVGEORGgAAAADcJoj3eEZwoEgNAAAAAAi4I488Um+//bYkybIszZw5UykpKQ6nAgAAAAAAgUCRGgAAAADgKJ/P53QEAAAAAAAQQBSpAQAAAKAixkiWS3pnH8q4MLOkdevW6cknn9TKlSslSd26ddPYsWN1xBFHOJwMAAAAAFArttzX7juI8y5btqxG83r06NHISRoWRWoAAAAAgKNmzJihc889V7169dKJJ54oSZo7d66OOuooffLJJzr99NMdTggAAAAAgDN69eolY4xsu3wl/cBxY4y8Xq8D6eqOIjUAAAAAwFF33XWXbrnlFj3yyCPljt95550UqQEAAAAATdaGDRucjtAoKFIDAAAAABy1cuVKvfvuu+WOX3PNNXryyScDHwgAAAAAgCDRrl07pyM0CsvpAAAAAAAQlIyLh8u0bNlSS5YsKXd8yZIlSklJCXwgAAAAAECdGdudI1itWbNGl112mbKyssqdy8zM1OWXX67169c7kKx+WEkNAAAAAHDUtddeq+uuu07r16/XCSecIMm/J/Wjjz6qcePGOZwOAAAAAADnPPbYY0pLS1NCQkK5c4mJiUpLS9Njjz2m559/3oF0dUeRGgAAAADgqAkTJig+Pl6PP/64xo8fL0lq06aN/vGPf+imm25yOB0AAAAAAM6ZNWuWXn/99UrPX3LJJbr88ssDmKhhUKQGAAAAADjKGKNbbrlFt9xyi/bv3y9Jio+PdzgVAAAAAADO27RpU5VbYbVo0UKbN28OYKKGQZEaAAAAACpijH+4jRszH4LiNAAAAAC4nF0y3CSI8yYmJmrdunVq165dhefXrl1bYSvwYGc5HQAAAAAAAAAAAAAAUN7AgQP1zDPPVHr+6aef1oABAwKYqGFQpAYAAAAAAAAAAACAIDR+/Hh98cUXuuiii7RgwQJlZmYqMzNTP/74oy688ELNmDFD48ePdzpmrdHuGwAAAAAAAAAAAACCUO/evTVt2jRdc801+vDDD8uca968ud5991316dPHoXR1R5EaAAAAACpiSobbuCxzUVGRzjzzTE2ZMkWdOnVyOg4AAAAAoJ6M7R9uEux5zz77bP3++++aPn261q5dK9u21blzZw0ZMkQxMTFOx6sTitQAAAAAAMeEh4dr2bJlTscAAAAAACCoRUdH64ILLnA6RoNhT2oAAAAAgKP+8pe/6KWXXnI6BgAAAAAAQeebb75Rt27dlJWVVe5cZmamjjrqKM2ZM8eBZPXDSmoAAAAAqIgx/uE2LsxcXFysl19+WV9//bX69u2r2NjYMucnT57sUDIAAAAAQK3ZJcNNgjjvk08+qWuvvVYJCQnlziUmJur666/X5MmTNWDAAAfS1R0rqQEAAACgCZs9e7bOOecctWnTRsYYffTRR2XOX3XVVTLGlBlnnnlmmTl79uzRFVdcoYSEBCUlJWnUqFHKzs6ucYYVK1aoT58+io+P1+rVq7V48eLSsWTJkgb4LgEAAAAAcKelS5eWex1+qCFDhmjRokUBTNQwWEkNAAAAAE1YTk6OevbsqWuuuUbDhw+vcM6ZZ56pV155pfRxZGRkmfNXXHGFtm3bpq+++kpFRUW6+uqrdd111+nNN9+sUYZvv/227t8AAAAAAAAhbPv27QoPD6/0fFhYmHbu3BnARA2DIjUAAAAANGFDhw7V0KFDq5wTGRmpVq1aVXhu5cqVmj59un766Scdc8wxkqRnnnlGw4YN0z//+U+1adOmxlnWrl2rdevWaeDAgYqOjpZt2zIubF8OAAAAAEBDadu2rVasWKGOHTtWeH7ZsmVq3bp1gFPVH+2+AQAAAKAixsVDUlZWVplRUFBQ5/8U3333nVJSUnTkkUdq9OjR2r17d+m5+fPnKykpqbRALUmDBw+WZVn68ccfa/T5d+/erUGDBqlz584aNmyYtm3bJkkaNWqUbr311jrnBgAAAAA4wHbpCFLDhg3ThAkTlJ+fX+5cXl6e7rvvPp199tkOJKsfitQAAAAAEILS0tKUmJhYOiZOnFinz3PmmWfqtdde08yZM/Xoo49q1qxZGjp0qLxeryQpIyNDKSkpZT4mLCxMzZo1U0ZGRo2+xi233KLw8HBt2rRJMTExpcdHjBih6dOn1yk3AAAAAACh4J577tGePXvUuXNnTZo0SR9//LE+/vhjPfroozryyCO1Z88e3X333U7HrDXafQMAAABACNq8ebMSEhJKH/95H+mauvTSS0vfP/roo9WjRw8dccQR+u677zRo0KB655SkL7/8UjNmzNBhhx1W5ninTp30+++/N8jXAAAAAADAjVJTUzVv3jyNHj1a48ePl237l30bY3TGGWfoueeeU2pqqsMpa48iNQAAAACEoISEhDJF6obSoUMHtWjRQmvXrtWgQYPUqlUr7dixo8yc4uJi7dmzp9J9rP8sJyenzArqA/bs2VPn4joAAAAAAKGiXbt2+vzzz7V3716tXbtWtm2rU6dOSk5OdjpandHuGwAAAAAqYkmyjAtH4/5n2bJli3bv3q3WrVtLkvr37699+/Zp0aJFpXO++eYb+Xw+9evXr0afc8CAAXrttddKHxtj5PP5NGnSJJ166qkN+w0AAAAAABqVsd053CA5OVnHHnusjjvuOFcXqCVWUgMAAABAk5adna21a9eWPt6wYYOWLFmiZs2aqVmzZrr//vt14YUXqlWrVlq3bp3uuOMOdezYUWeccYYkqWvXrjrzzDN17bXXasqUKSoqKtKNN96oSy+9VG3atKlRhkmTJmnQoEFauHChCgsLdccdd+iXX37Rnj17NHfu3Eb5vgEAAAAAgHNYSQ0AAAAATdjChQvVu3dv9e7dW5I0btw49e7dW/fee688Ho+WLVumc889V507d9aoUaPUt29fzZkzp0wb7jfeeENdunTRoEGDNGzYMJ100kl64YUXapyhe/fuWr16tU466SSdd955ysnJ0fDhw7V48WIdccQRDf49AwAAAAAAZ7GSGgAAAAAqYkqG29Qy8ymnnCLbrryv2YwZM6r9HM2aNdObb75Zuy/8J4mJibr77rvr9TkAAAAAAEHALhlu4ra8IYAiNQAAAADAcXv37tVLL72klStXSpK6deumq6++Ws2aNXM4GQAAAAAAaGgUqQEAAAAAjpo9e7bOOeccJSYm6phjjpEkPf3003rggQf0ySefaODAgQ4nBAAAAAAg8P773//WeO65557biEkaHkVqAAAAAICjxowZoxEjRuj555+Xx+ORJHm9Xt1www0aM2aMli9f7nBCAAAAAAAC7/zzz6/RPGOMvF5v44ZpYBSpAQAAAKAixviH27gw89q1azVt2rTSArUkeTwejRs3Tq+99pqDyQAAAAAAtcae1A3G5/M5HaHRWE4HAAAAAAA0bX369Cndi/pQK1euVM+ePR1IBAAAAAAAGhMrqQEAAAAAAbds2bLS92+66SaNHTtWa9eu1fHHHy9J+uGHH/Tcc8/pkUcecSoiAAAAAABBJScnR7NmzdKmTZtUWFhY5txNN93kUKq6oUgNAAAAAAi4Xr16yRgj2z7YU+2OO+4oN+/yyy/XiBEjAhkNAAAAAICgs3jxYg0bNky5ubnKyclRs2bNtGvXLsXExCglJYUiNQAAAACEBFMy3MYlmTds2OB0BAAAAABAIzC2f7iJG/LecsstOuecczRlyhQlJibqhx9+UHh4uP7yl79o7NixTserNYrUAAAAAICAa9eundMRAAAAAABwjSVLluj//u//ZFmWPB6PCgoK1KFDB02aNElXXnmlhg8f7nTEWqFIDQAAAABw3NatW/X9999rx44d8vl8Zc65rWUZAAAAAAANLTw8XJZlSZJSUlK0adMmde3aVYmJidq8ebPD6WqPIjUAAAAAwFFTp07V9ddfr4iICDVv3lzGHOxZboyhSA0AAAAAaPJ69+6tn376SZ06ddLJJ5+se++9V7t27dJ//vMfde/e3el4tUaRGgAAAAAqYox/uI0LM0+YMEH33nuvxo8fX3pXOAAAAADApeyS4SYuyPvwww9r//79kqSHHnpII0eO1OjRo9WpUye99NJLDqerPYrUAAAAAABH5ebm6tJLL6VADQAAAABAJY455pjS91NSUjR9+nQH09QfVwAAAAAAAI4aNWqU3nvvPadjAAAAAAAQtE477TTt27ev3PGsrCyddtppgQ9UT6ykBgAAAICKmJLhNi7MPHHiRJ199tmaPn26jj76aIWHh5c5P3nyZIeSAQAAAABqy9j+4SZuyPvdd9+psLCw3PH8/HzNmTPHgUT1Q5EaAAAAAOCoiRMnasaMGTryyCMlSeaQfbWNC/fYBgAAAACgoSxbtqz0/V9//VUZGRmlj71er6ZPn662bds6Ea1eKFIDAAAAABz1+OOP6+WXX9ZVV13ldBQAAAAAAIJKr169ZIyRMabCtt7R0dF65plnHEhWPxSpAQAAAACOioyM1Iknnuh0DAAAAAAAgs6GDRtk27Y6dOigBQsWqGXLlqXnIiIilJKSIo/H42DCuqFIDQAAAAAVsYx/uI0LM48dO1bPPPOMnn76aaejAAAAAADqyy4ZbhLEedu1aydJ8vl8DidpWBSpAQAAAACOWrBggb755ht9+umnOuqooxQeHl7m/AcffOBQMgAAAAAAgse6dev05JNPauXKlZKkbt26aezYsTriiCMcTlZ7FKkBAAAAAI5KSkrS8OHDnY4BAAAAAEDQmjFjhs4991z16tWrdMusuXPn6qijjtInn3yi008/3eGEtUORGgAAAADgqFdeecXpCAAAAAAABLW77rpLt9xyix555JFyx++8806K1AAAwJ3s/N3StjlSwV4pspnUZqBMZLLTsQDAOcb4h9u4MTMAAAAAIHSwJ3WjWLlypd59991yx6+55ho9+eSTgQ9UTxSpAQBo4mzbJ61+Q9r4sf+AsSTbJ61+XfYRF0pHjJCh4AEAaETt27ev8nfN+vXrA5gGAAAAAIDg07JlSy1ZskSdOnUqc3zJkiVKSUlxKFXdUaQGAKCpW/+BtPGjg49t74F3pHXvSWExUvq5TiQDADQRN998c5nHRUVFWrx4saZPn67bb7/dmVAAAAAAAASBBx54QLfddpuuvfZaXXfddVq/fr1OOOEESf49qR999FGNGzfO4ZS1R5EaAIAmzC7OlzZ8UPWkddNkHz5UxgoPTCgACBa0+w6YsWPHVnj8ueee08KFCwOcBgAAAABQH6ZkuEkw573//vv1t7/9TRMmTFB8fLwef/xxjR8/XpLUpk0b/eMf/9BNN93kcMras5wOAAAAHLR7qeQtqHpOcY6055fA5AEA4BBDhw7V+++/73QMAAAAAAAcY9v+DbONMbrlllu0ZcsWZWZmKjMzU1u2bNHYsWNduV0jK6kBAGjKvHk1m1dcw3kAADSgadOmqVmzZk7HAAAAAADAUX8uQsfHxzuUpOFQpAYAoCmLaVuzebE1nAcAQB307t27zAtu27aVkZGhnTt36l//+peDyQAAAAAAcF7nzp2rXS29Z8+eAKVpGBSpAQBoyhI7SnGHS9lbJPkqmGBJCR1k4g8PdDIAcB57UgfM+eefX+axZVlq2bKlTjnlFHXp0sWZUAAAAACAurFLhpsEed77779fiYmJTsdoUBSpAQBowowxsruPkRZMkOxiyT6kUG0syYqQuo92LiAAoEm47777nI4AAAAAAEDQuvTSS5WSkuJ0jAZlOR0AAAA4yyR2lI5/RGp5jKQDq+8sKaWfdPyjMvHpDqYDAAAAAAAAgKarujbfbsVKagAAIBPfTup9p+yiHKkwS4pIkAmPdToWACDEWZZV7YttY4yKi4sDlAgAAAAAgOBi20Hei7yOKFIDAIBSJjxWojgNAH7G8g+3cVHmDz/8sNJz8+fP19NPPy2fz1fpHAAAAABA8DG2f7hJMOcN1dfFFKkBAAAAAI4477zzyh1btWqV7rrrLn3yySe64oor9MADDziQDAAAAAAANCb33GIPAAAAAAhZW7du1bXXXqujjz5axcXFWrJkiV599VW1a9fO6WgAAAAAAKCBUaQGAAAAADgmMzNTd955pzp27KhffvlFM2fO1CeffKLu3bs7HQ0AAAAAADQS2n0DAAAAQEWMkSzjdIraM+7JPGnSJD366KNq1aqV3nrrrQrbfwMAAAAAXMYuGW7itrwhgCI1AAAAAMARd911l6Kjo9WxY0e9+uqrevXVVyuc98EHHwQ4GQAAAAAAaEwUqQEAAAAAjhg5cqSMi1Z+AwAAAACAhkGRGgAAAAAqYoyrWmeXclHmqVOnOh0BAAAAANAYaJ+NalhOBwAAAAAAAAAAAAAANB0UqQEAAAAAAAAAAAAAAUORGgAAAAAAAAAAAAAQMOxJDQAAAAAVMZZ/uI0bMwMAAAAAQoax/cNN3JY3FHD1AgAAAAAAAAAAAAAQMBSpAQAAAAAAAAAAAAABQ5EaAAAAAAAAAAAAABAw7EkNAABk27aU+Zu0/XupcJ8UkSy1GiAldJYxxul4AOAMY/zDbdyYGQAAAAAQOuyS4SZuyxsCKFIDANDE2b5C6ddnpT1L5G+y4pOMJW2fLbU4RnaXG2Qs/mQAAAAAAAAAADQM2n0DANDUrXtT2rO05IHP/8YuebtrkbThXUdiAQAAAAAAAABCE8uiAABowuyi/VLGLFXez8aWts2U3e58mbCYQEYDAOdZxj/cxo2ZAQAAAAAhw9j+4SZuyxsKWEkNAEBTtm+lZHurnuMrkjJXBSYPAAAAAAAAACDkUaQGAKAp8xU37DwAAAAAAAAAAKpBkRoAgKYsPr1m8+JqOA8AAAAAAAAAgGqwJzUAAE2YiWkjO7FrSTtvXwUzLCm5u0x0y0BHAwDnGcs/3MaNmQEAAAAAocMuGW7itrwhgKsXAAA0dUdeK0UkqvyfBZYUmSx1vsaJVAAAAAAAAACAEMVKagAAmjgT1UJ2n/8n/fGllDFLKtovRSRIrU6R2p4uEx7vdEQAAAAAAAAAQAihSA0AAGQiEqT2F/kHAAAAAAAAAACNiCI1AAAAAFTEGP9wGzdmBgAAAACEDGP7h5u4LW8oYE9qAAAAAAAAAAAAAEDAUKQGAAAAAAAAAAAAAAQM7b4B1Iid+4e08wepKFOKSJZaniATnep0LAAAAAAAAAAAALgMRWoAVbJtr7TuVWnnXJVpvvDHp7Jbny61u0TG0JQBAACEIPakBgAAAACg9uyS4SZuyxsCqCwBqNrv06Sd80oe+A4ZkrZ9JW2d7lAwAAAAAAAAAAAAuBFFagCVsouypYyZqvIWoj8+l+0rClgmAAAAAAAAAAAAuBvtvgFULvMXyfZWPcebJ+1fIyV2C0wmAACAQDFGcuO2JrT7BgAAAAA4iXbfqAGK1AAq5yus2TxvDecBCFp2ca60c46083upKEsKT5RaDpBSBsh4opyOBwAAAAAAAAAIIRSpAVQuum3N5sW0adwcABqVXZgprZwkFexS6S2D3jxp8zRp5xzZXW+XCY93NCMAAAAAAAAAIHS4sHcdgICJay/FHKbKf1RYUkJXmaiUQKYC0NA2vCoV7Fb5nja2lL9D2vi6E6kAAAAAAAAAACGKldQAKmWMkd3xf6RfHilp6e075KwlhcVKR4x0Kh6ABmDn75AyV1QxwyftXSK7YI9MZLOA5QKAoGAZ/3AbN2YGAAAAAIQMY/uHm7gtbyhgJTWAKpnYNOnoe6WW/SVTcl+LFSGlDpR63MsqasDtsjfUYJIt5Wxs7CQAAAAAAAAAgCaCldQAqmWiU6WO18juMNK/T60nWsbixwcQEkwN71er6TwAAAAAAAAAAKpBlQlAjRkrTLLinY4BoCHFd5a/sYqv8jnGI8V1DFQiAAAAAAAAAECIo0gNAEATZiISZbfoJ+36QVJFG68YqcWJMuFxgY4GAM4zxj/cxo2ZAQAAAAChw1bFlxqDmdvyhgB6dwIA0NS1u0yK71TywCr7NqGL1O4SJ1IBAAAAAAAAAEIUK6kBAGjijCdKdpdx0r5l0s55UtE+KSJZanGilNRdhv2oAQAAAAAAAAANiCI1AADwF6KTe/kHAMDPWP7hNm7MDAAAAAAIGca2ZWx39c92W95QQJEaAAAAAAAACJBir0/zlm7Q+i27FBkRroF9OqhtSpLTsQAAAICA4hZ7AAAAAAAAIAB+/m2zzrvlRd3+5Md64YN5euqtWRp+28u651+fKb+gyOl4AAAAqKXnnntO6enpioqKUr9+/bRgwYIafdzbb78tY4zOP//8xg0YxChSAwAAAAAAAI1s9aadumnSB9qTmStJ8vps2SVtJWf+uFp3P/eZk/EAAABQS++8847GjRun++67Tz///LN69uypM844Qzt27Kjy4zZu3KjbbrtNAwYMCFDS4ESRGgAAAAAqYox7BwAg6Lzy8Q/y+XzyVbDfoc+29f2S9fp1fYYDyQAAABqY7dJRS5MnT9a1116rq6++Wt26ddOUKVMUExOjl19+udKP8Xq9uuKKK3T//ferQ4cOtf+iIYQiNQAAAAAAANCICouK9d2itfL6Kr/66bGMvvphVQBTAQAA4M+ysrLKjIKCggrnFRYWatGiRRo8eHDpMcuyNHjwYM2fP7/Sz//AAw8oJSVFo0aNavDsbkORGgAAAAAAAGhEeflF8lVRoD4gMyc/AGkAAABQmbS0NCUmJpaOiRMnVjhv165d8nq9Sk1NLXM8NTVVGRkVd8f5/vvv9dJLL+nFF19s8NxuFOZ0AAAAAAAAACCUxcVGKjYqQjn5hZXOsSUdlpIYuFAAAAAoZ/PmzUpISCh9HBkZ2SCfd//+/frrX/+qF198US1atGiQz+l2FKkBAAAAoCKW8Q+3cWNmAAhxHsvSeaccrXe+/Lnylt+2dNaAowIbDAAAoBEY2z/c5EDehISEMkXqyrRo0UIej0fbt28vc3z79u1q1apVufnr1q3Txo0bdc4555Qe8/l8kqSwsDCtWrVKRxxxRD2+A/eh3TcAAAAAAADQyK485zilNo+Xp5Kbia6/6ESlNosPcCoAAADURUREhPr27auZM2eWHvP5fJo5c6b69+9fbn6XLl20fPlyLVmypHSce+65OvXUU7VkyRKlpaUFMn5QYCU1AAAAAAAA0MiS4qP173sv07Nvz9GXP/ymYq9/5UyblgkadX5/nc0qagAAAFcZN26crrzySh1zzDE67rjj9OSTTyonJ0dXX321JGnkyJFq27atJk6cqKioKHXv3r3MxyclJUlSueNNBUVqAAAAAAAAIACaJ8bqvuvP1M1XnKw/dmQqKiJM6W2ay2KrBgAAANcZMWKEdu7cqXvvvVcZGRnq1auXpk+frtTUVEnSpk2bZFk0ta4MRWoAAAAAqJAlGTe+mHRjZgBoWhLjopUYF+10DAAAgMZhlww3qWPeG2+8UTfeeGOF57777rsqP3bq1Kl1+6IhgiI1gFqzczdJub9LxkhxXWQiWzgdCQAAAAAAAAAAAC5BkRpAjdkFu6RNU6W8zWWPJxwtpV0u44lxJhgAAAAAAAAAAABcgyI1gBqxi7OldU9JxdnlT2b9Iq2fIrvjWBnjCXw4AA3G9hVLvnzJipKx+DMBQBNnjH+4jRszAwAAAABChrH9w03cljcUcPUZQM3smiMV71fFGzP4pLzfpawVUmLPQCcD0ADsgl3SjhnSvkWS7ZVMmOykY6XUITIRzZyOBwAAAAAAAAAIIZbTAQC4xN4fVXGB+gAj7f0pUGkANCA7f6u05jFp70J/gVqS7GL/837NY7LztzsbEAAAAAAAAAAQUihSA6gZb041E+ySldYAXGfzm5KvUJLvTyd8kjdf2vK2E6kAAACAkOHz2Vr0yyZ9+PVSfTXvN2XnFjgdCQAAAHAU7b4B1Ex4slRQ1WpKS4poHrA4ABqGnbdFyttcxQyflLtedv52majUgOUCgKDAntQAgAaweOUWPfj8F9q6M6v0WES4R1ecc6z+58ITZFn83AYAACHGVtWNWYOR2/KGAFZSA6iZ5idUM8EnNesfkCgAGlD+tprNK6jhPAAAAAClfl2XobEPv6dtu7LKHC8s8uqVD37Qv96a7VAyAAAAwFkUqQHUTLMTpKi2qvTHRmJvKbZjQCMBaABWRM3mmRrOAwAAAFDq/975Xl6fLbuSlTlvfbZIO/dkBzYUAAAAEAQoUgOoEWNFSEf8XUo+VpLn4AkrUkoZIh3+VxlaSwLuE3ekZMKrnmNFSnHchAIAAADUxt6sXC1Y/rt8vqp7R34177cAJQIAAACCB3tSA6i5wl2SikpubzGSJ1ZqPkBqcZqM8VTzwQCCkfFEyW5xsrTz68ontTzNf6MKADQ17EkNAKiHzP151c6xLKO9WbkBSAMAABA4xvYPN3Fb3lBAkRpAjdj7V0qb/u1/YGxJRvLlSju/lLJXyk6/QcaKdDQjgDpqdZbkzZX2zFPZJis+qflAf7cEAAAAALXSLDFWljHyVdbrW5LX51NK8/gApgIAAACCA0VqANWyfYXSltck+So6K+Vt9q/CTD0r0NEANABjLOmwEbJbnCLt+0kqypLCE6XkY2UiU5yOBwAAALhSQlyUBhxzhL5ftE7eSlp+eyxLQ07oEuBkAAAAgPMoUgOoXuYSyZdfxQRb2jNXdsqZtP0GXMxEpUqtznY6BgAED8vyD7dxY2YACFF/G3GSFq7YpLyCogr3pr5+xElKjI92IBkAAEAjskuGm7gtbwjg6gWA6uX/Iama4rMvTyrKDEgcAAAAAADcIL1tc71w/2U6unObMsebJ8Xorv85XX8551iHkgEAAADOYiU1gOpZ4arRbURWeKNHAQAAAADATTqktdCU+y7V5m17tTljr2KjI3RUpzYK87B2BAAAAE0XRWoA1Ys/Sto1s4oJRopqKxMWH7BIAAAAAAC4SVrrZKW1TnY6BgAAABAUKFIDqF50un/kbZLkq2CCLbU8PbCZAAAAGpsx/uE2bswMAAAAAAgphj2eUQ36CgGoljFGOnyUFNW25IglyRwcrc6XSejhXEAAAAAAAAAAAAC4BiupAdSICYuT3eFmKXuVlLVU8hVIkalScj+ZcNqVAQAAAAAAAAAAoGYoUgOoMWMsKb6rfwAAAAAAAAAAAAB1QJEaAAAAACrCntQAAAAAANSebfuHm7gtbwhgT2oAAAAAAAAAAAAAQMBQpAYAAAAAAAAAAAAABAxFagAAAAAAAAAAAABAwLAnNQAAAABUxBjJuPC+XvakBgAAAAA4yNj+4SZuyxsKXHjFBQAAAAAAAAAAAADgVhSpAQAAAAAAAAAAAAABQ5EaAACUsgt3ys7bILtwt9NRAMB5lnHvqIXZs2frnHPOUZs2bWSM0UcffVTmvG3buvfee9W6dWtFR0dr8ODBWrNmTZk5e/bs0RVXXKGEhAQlJSVp1KhRys7Oru//AwAAAAAAN7JdOhBQFKkBAIDs3PWyNz0r/T5Z2vKC9Ps/ZW9+XnbeJqejAQAaWU5Ojnr27KnnnnuuwvOTJk3S008/rSlTpujHH39UbGyszjjjDOXn55fOueKKK/TLL7/oq6++0qeffqrZs2fruuuuC9S3AAAAAAAAXCbM6QAAAMBZds5qaevU8ifyN0tbXpB92P/IRKcHOhYAIECGDh2qoUOHVnjOtm09+eSTuueee3TeeedJkl577TWlpqbqo48+0qWXXqqVK1dq+vTp+umnn3TMMcdIkp555hkNGzZM//znP9WmTZuAfS8AAAAAAMAdWEkNAEATZts+acdHBx79+awk/3nbpt8NALhNVlZWmVFQUFDrz7FhwwZlZGRo8ODBpccSExPVr18/zZ8/X5I0f/58JSUllRaoJWnw4MGyLEs//vhj/b8RAAAAAAAQcihSAwDQlOVtlIr3qvJNV2ypcLtUsDWAoQAgSBjj3iEpLS1NiYmJpWPixIm1/k+QkZEhSUpNTS1zPDU1tfRcRkaGUlJSypwPCwtTs2bNSucAAAAAAJoO43PnQGDR7hsAgKaseG8FB43KFa2L90pqG4BAAICGsnnzZiUkJJQ+joyMdDANAAAAAADAQRSpAQBoyqyYknfMn04ceGz/aR4AwC0SEhLKFKnrolWrVpKk7du3q3Xr1qXHt2/frl69epXO2bFjR5mPKy4u1p49e0o/HgBwkG3bWrJis2bPX6PcvEKlpzXXmacdpeSkWKejAQAAAAFDkRoAgKYspqNkwiV5K5lgJBMhRacHMBQAIFi0b99erVq10syZM0uL0llZWfrxxx81evRoSVL//v21b98+LVq0SH379pUkffPNN/L5fOrXr59T0QEgKGXtz9NdD36gFb9tlcdjSbYtny298PocjfvbYJ0zpKfTEQEAAICAoEgNAECTVtle1H+e45NkNXIWAAgyxvIPt6ll5uzsbK1du7b08YYNG7RkyRI1a9ZMhx9+uG6++WY9+OCD6tSpk9q3b68JEyaoTZs2Ov/88yVJXbt21Zlnnqlrr71WU6ZMUVFRkW688UZdeumlatOmTUN+ZwDgarZt6+6HP9Kvq7dJkrzegxsfer22HnvuS7VoFq/+x3RwKiIAAEDDsFWzy47BxG15QwBFagAAmrLctap8FXUJu0jK2yDFdApIJABAYC1cuFCnnnpq6eNx48ZJkq688kpNnTpVd9xxh3JycnTddddp3759OumkkzR9+nRFRUWVfswbb7yhG2+8UYMGDZJlWbrwwgv19NNPB/x7AYBg9suqrVr665ZKz1vG6D/vzadIDQAAgCaBIjUAIGTZtlfKXiFlLZSKMyVPnJTQR4rrKWOFOx0vOPgKGnYeAMB1TjnlFNl25beMG2P0wAMP6IEHHqh0TrNmzfTmm282RjwACBlzflwrj8cqs4L6UD7b1orftiozK0+JCdEBTgcAAAAEFkVqAEBIsn2F0rZXpfxNkowkWyreJ+3cLGXOl93mGhlPrMMpg4BdzSrq0nn0uwHQBBnjH27jxswA0AQUFBSpJj+hCwqLGz0LAABAYzK2f7iJ2/KGAhdusAYAQA3s+kLK31zywC77tnCntOMDJ1IFoRr+KeDGPVkBAACAINKhXUsVV7KK+oC42Eg1S4oJUCIAAADAOVxxBgCEHNubK+1frIPF6XIzpNzVsov2BDJWcAqr4QUwK6r6OQAAAAAqNXhAV0VFVb7tkGUZnXtGT4WFeQKYCgAAAHAGRWoAQOgp+ENSDdpY521s7CTBL/oIyVRTgLZipej0gMQBAAAAQlVMTITuvnmYLMvIsso2/rYso47pLTXy4v4OpQMAAAACiyI1ACD0sH9yjRkrXGp2qvz7dv95h7ySY80HyRhWcwBogg7sSe3GAQAISif376xnHr5Mx/fpUPrjOjEhWiMvPl5PP3yZYmIinA0IAADQEGzbnQMBFeZ0AAAAGlzUYfLfh1X1fm+KbheINMEv6UTJLpb2fCv/CvSS/3bGIzU7XSaxn8MBAQAAgNBxdNe2emTCcBUUFKmgsFhxsVHlVlYDAAAAoY4iNQCgQZTuA52z0l/wjGgtJR4rE9km4FmMJ0Z2fG9p/8+qeF9qI8V0kglvHuhoQckYIzU7RXbicVL2Cql4vxSWIMV1l/FEOx0PAAAACEmRkeGKjKx8j2oAAAAglFGkBgDUm12wTdr2quQrUGlRuHCHlL1YdvJpMskDAx+qxVB/hoLN8retPqRYHd5SShke+ExBznhipMTjnI4BAAAAAAAAAAhxFKkBAPVi+4qkbf8pW6CWVNpqe+83siNSZGK7BDSXsSJlt73GvzI4a6FUnCl54qSEPlJcTxmLvd4AANWwLP9wGzdmBgAAAACEDGP7h5u4LW8ooEgNAKifnBWSL7eKCUbaN1cKcJFakowJk+J7+QcAAAAAAAAAAAgK3GIPAKifvA3yt9OujC0VbJZtewOVCPVg+4pkF++X7St2OgoAAAAAAAAAIESxkhoAUE817YNCv5RgZhftlvbOknJ+kb9Vu0d2bHcp+WSZ8GSn4wEAAAAAAAAAQghFagBA/USmSdnLq5hgpIhUf+ttBCW7cLu09RXJLtTBmwm8Us4yKW+V7NbXyES0dDIiADjEqOpuIcHKjZkBAAAAACHDlvvWLLktbwig3TeAGrN9RbL3L5Wd8Zbsra/K3vW57IIMp2PBafE9JBOhyi+I21Ji/0AmQm3t/OhPBeoDbMlXIO36rwOhAAAAAAAAAAChimVtAGrELs6Utr0mFe+TvxhpSwVbpP2LZCeeKCWfKmNYtdMUGStKdqtLpYw3Jdurg4XOkn8n8cdKcT0cTIiq2AXbpMKqbjbxP9ftwp2spgYAAAAAAAAANAiK1ACqZdu2lPGWVJx14EjJW5//TeZcKby5FN/TiXgIAia6g+zDbpCyFkjZKyW7WIpsJSX2k6I7cQNDMCvaWfN5FKkBNDXG+IfbuDEzAAAAACBkGNs/3MRteUMBRWoA1cvfUH0hK3Oe7LgeFCObMBPeTGp+pn/APUx4w84DAAAAAAAAAKAa7EkNoHp561Xtj4uiXZI3OyBxADSg6A6SqeaeNRMpRaUHJA4AAAAAAAAAIPRRpAZQPdtX8fFyq6YrmQcgaBkrUko8oepJSSfIWKykBgAAAAAAAAA0DNp9A6heZBuVFqCNkWy7fIHaeCQrNuDRADSApJMlb560/ydJpmTY/pFwvJQ4wNl8AOAYSzJuvK/XjZkBAAAAACHDtv3DTdyWNwRQpAZQvdgu0q4oyS7wPz60QF36vk/KXiol9A14PAD1Y4wltRgmO/F4//PYmy154qW4njLhyU7HAwAAAAAAAACEGIrUAKplTJjs2C5SztKqJ+7/iSI14GImvJmUfKrTMQAAAAAAAAAAIY4iNYCaKd5V/ZyiXbJtW6bcXtUAAAAAAAAA6svr9WnO3NX6+NPF2rRpt2JjIzX4tG4656xeSk5iKz4AgHtQpAZQM0V7azCJ/Q8BAEAoMSXDbdyYGQAAANXxen36x4Mf6ft5a2RZRj6frT17c/Tq63P1wUeL9MRjl6l9ekunYwKAjO0fbuK2vKGAihKAatm+QsmXW/3EsERWUQMAAAAAAACN4K13f9Tc+WskST7fwWqKz2drf3a+7r7vfXm9PqfiAQBQKxSpAdRADf+4DW/RuDEAAAAAAACAJsjr9en9jxbKrmSln89na1tGpn5atCGwwQAAqCOK1ACqZyKlsMTq58Uc0fhZAAAAAsUY9w4AAACElIyMTO3bV3WnQ4/H0vIVWwKUCACqYLt0IKAoUgOoljFGSji26gueVoQUe3TgQgEAAAAAAABNRQ3vQ2QrPgCAW1CkBlAz8cdKUUdUsFLH4x8tLpCxIp1OCQAAAAAAAIScVqmJatE8rso5Xq9PvXsdHqBEAADUD0VqADVijEdKuURqdmbJ3tNGMuFSTDep9dUyMZ2cjggAAAAAAACEJI/H0iUXHVf5ecuo3eHN1adXuwCmAgCg7sKcDgDAPYyxpPi+Unxf2bZN+yAAABDajOUfbuPGzAAAAKjWhecfow0bd+qLGcvl8Rh5vQc3UG3ePE4PP3AR1+sABAVj+4ebuC1vKKBIDaBO+IMXAAAAAAAACBzLMrr9lqEadGo3ffLZEv2+abfiYiN12qndNGTQUYqNZSs+AIB7UKQGAAAAAAAAAMAFjDHq2ztdfXunOx0FAIB6oQ8cAAAAAAAAAAAAACBgWEkNoEbsor1S7grJmy154qSYo2TCmzkdC0AlbNuWCrdJeaskX4EUlizFdpfxxDodDQBcxJQMt3FjZgAAAABAyPDZ/uEmbssbAihSA6iSbdvSvm+k7EU6eKHWlrLmy47tJSUPljE0ZQCCie0rkHZ9LBVs1MGmKbaUOVt20iCZ+D4OpgMAAAAAAAAANHWuqyzZ3hzZ+ZtkF2yVbXudjgOEvqx5JQVqSbIl+UreSspZImXNdSYXgMrt/lQq+L3kgU8Hn7e2tO9r2bmrnMsGAAAAAAAAAGjyXLOS2vbm+Fdz5q1WaYHMipYdf5wUd4yMoaUd0NBsX6G0f0HVk/b/JDv+OBkrMjChAFTJLtwp5a+relLWPNnRnfndCQAAAAAAAABwhCuK1LYvT9rxpuTNUmmBWpJ8eVLmLMm7X0o6zbF8QMgq2CzZRVXPsYul/E1STKfAZAJQtfy1Km3LX5minf7fqWGJgUoFAO5kJLnxhh4XRgYAAAAAhJCSpo6u4ra8IcAVRWrtX1S+QH2o7J9lx/aQCW8R0FhAyKuuQF3beQAan69I1RapJf8NJgAAAAAAAH/i9fr04w9rNW/uGhUWFqvDESk6c2gPJSXFOh0NABBCgr5Ibdu2lLNUVV9st6ScFVLSKQFKBTQRNb3xgxtEgOAR3lz+PairYMIkT3xA4gAAAAAAAPfYuSNLd9z+ljb9vlsejyXbtvXNzF/1ykuzdMdd52jQ4KOcjggACBFBX6SWvP623lXySd7MgKQBmhIT3kJ2RBupcJsqvlHESOGpMhEpgY4GoDIxR0p7v5bsgkomGCmmu4wVEdBYAOBOVslwGzdmBgAAgNO8xT7dcftb+mPLHv9j78Gb4IuLbU186GO1TIlXjx6HOxURgEsYScZl7bPZOSvwXFCk9vhXfFXZltSSrJiAJQKalGZDpe2vS3ahyhaqjWQi/OcBBA1jwmQ3P1va9UHJkT89b8OSpMQBDiQDAAAAmq4tW/boi8+WauvWvYqLi9Kpp3VV7z7pMobLoQCCxw8/rNWm33dXet4Yo7ffnE+RGgDQIIK+SG2MkR1zlJSzTJW3/PZJMV0DGQtoMkx4c9mtrpQy50u5v0rySvL4n3OJ/WXCkp2OCOBPTPQRslOukLLmS/nrSg5GSHE9pYT+MlaUswEBAACAJsK2bb06dY7+8+r38niMfD5blmXp88+W6OgeaXrw4YsVF8ff5wCCw7x5a+TxWGVWUB/K57O14Mf18hb75Amjew8AoH6CvkgtSYo/VspdKdlFKl+oNlJkuhTR1oFgQNNgwpKk5kNlNztd8hVIVqSMccePD6CpMpFtpJYXyvYV+n9/WtEyhheQAAAAQCB9/tlS/efV7yVJXq9d8tZf/PllxRZNfPC/euiRSxzLBwCHKiwokm1X3Z/Xtm0Ve70UqQEA9eaK3yQmLElqealU0YrN6K5S83NpjwQEgDFhMp5YCtSAixgrouR564pf+QAQXIxx7wAAOM7ns/XG63MPHrDLDp/X1g/z12rjxp0OJQSAsjockapqatRKbZWoiAiuDQKohm27cyCgXPPbxESkyE69WircIhXulIxHimovE5bgdDSg6SrcKmUvlYq2STJSVAcptqd/z1sAAAAAAJqwzZt3a3tGpv9BBdc8D9xSNOu7lUq/qmXAcgFAZc4c2kNTX56l4uKKCzXGSBcMP4YFYwCABuGqZVXGGJnINJn4PjJxPSlQA07a/5O0610pf7XkzZK8mVLOEmnHa1L+BqfTAQAAAADgqKJCr/+dQ2o95pBxwJdfLK+2vS4ABEJycqxuu+NsGSNZVtlCtDFSn77tdf4FxziUDgAQalyzklqSZHv9xa+iAyupO0jhLZxOBTQtti3lLJX2H2hZdugL6ZKeZXs+lVKvkTyxDgQEAAAAAMB5bdomKSIiTIUFxZLKFqYPtT0jU6t+26YuXdsELhwAVOL0Id2Vmpqgt96cr58WrJdt20ptlajhFx6r887vq/Bwj9MRAQAhwj1F6oI/pL2fSb5c+ReA29L+eVJkOyl5qGRFOZ0QCH3eHGnPJ1JRRjUTfVLuCim+X0BiAQAANAq37u/sxswAEIJiYiJ16mld9eUXy6uc5/FYmjPrN4rUAIJGj56Hq0fPw1Vc7FVxsU+RkWG0+AZQK8b2DzdxW95Q4I5230W7pd0fSL68kgM+la7eLNgk7f4vG5oDjc0ulna/LxVtr8lkqWBLo0cCAAAAACCYXTLi+GrnGCPl5xcFIA0A1E5YmEdRUeEUqAEAjcIdRershSpTmC7Dloq2SoWbAxwKaGLy1kjFe1Tx87Ai/PEKAAAAAGjaDktrppjYyCrnFHt9Sm/fMkCJAAAAgOAQ/EVq25byVqnqwpiR8lYHKhHQNJU+x2pSfDZS5GGNmQYAACAAjIsHACAYhIV5dM65vWVZlfxsNlJkRJhOG3xUYIMBAAA0JtulAwHlgj2pvfKvoq6KLfkKAhEGaLq82arxBU/jkWK6N2ocAIAD7CL/zYO5v0l2nuRJ8v+8j0xnD1wAAIBKXP7XE/XTgvXauGGnfL6DVz8ty8i2pTvGn6PYalZbAwAAAKHGBUVqj2TFSL7cKuYYKSwpUIGAJurQm0WMKr+tyCMlnyN5YgKQCQAQMN5safcHknffwWPF+6SCDVJkByl5qP8mJQAAAJQRGxupJ575q95+Y74+/e/P2r8/X5LUu0+6rhh5onr0PNzhhAAAAEDgBX+R2hgptoe0/0dVXhSzWbUJNDYrSv7n4IGVcpUUqlNGSmGJgcsFAAiMvV9I3sw/HSz5PVCwXsr+SYo/PuCxAAAA3CA2NlKjrjtFV40aqKysPEVFhis6JsLpWAAAAIBjgr9ILUmxfaS8tVLxblVYFIvvT1EMaGyeBElb/3TwT61dTRjPRQAIRUU7pKJtVc/JWSLFHeP/XQCECmP5h9u4MTMANBEej6Xk5FinYwAAADQqY9sytrs2eXZb3lDgjqsXVoTU4mL/iupD6+qeRCnpdCm+n2PRgCYjunM1E4wUdWRAogAAAqxgi8rdmPRndqFUtDsgcQAAAAAAAAC4m3uWuliRUuKpUvxJ/laTxiN5kvztwAE0vsh2UniKVLRT5TsaGEkeKa6PA8EAAMGDO04BAAAAAAAAVM8dK6kPZYVL4S2ksGQK1EAgGUtqdr4U0ebAAZX+CLGipObnS+HNnMkGAGhcEa1VbQHahEvhzQMSBwAAAAAAAIC7uWclNQDneaKlFhdJhdul/HVS8R7JlyPJkvJ+kWRLEW25gQTuVrxHyv3Fvwev8UiR7aXoLv6OHmhYdrGUv1bKWyPZBZInWYo5Sopo5XQy/Fl4KymspVS8SxUXq40U091fqAZCiTHu/LvGjZkBAAAAAKHDVzLcxG15QwBFagC1F5YoFW4uKVYYSbZUvFPKXyNFdZISB/tXXgNuk7NU2v+9Sv9dS1LhH1L2T1Kz86Twlk6mCy3ebGnPR/4tPA4o2iHl/yZFHy0lDKDIEkyMkZKHSbvfl3zZh55Q6Q1K8f2dSgcAAAAAAADAZagiAai9fV9KxbtLHthl3+avkbIXOpEKqJ+CTSUFaqncSlG7UNr7ieQrCniskGTb0t7PJW/Wn0/43+Qtl3JXBDwWqhGWKLW8XIo/UQprJlkx/hXWiUP8N3EY7n0EAAAAAAAAUDNcTQRQO8V7/Kuoq5K7VIrrQ8EC7pKzWGVWUJdhS748/00YMd0CHCwEFW3zd1+oSs7PJe2jWU0dVKwoKa6vfwAAAAAAAABAHVFBAlA7BVuqn2MXSkW72FcW7mHb/rbeFRaoDzD+GzQoUtdfwWZVfkNACV+2f6V1WGKgUgFABUzJcBs3ZgYAAAAAhApj2zJ2Vddag4/b8oYC2n0DqCVbNbvw6WvsIEADq+6PENtfzEYD4OcIAAAAAAAAADRlFKkB1E54qqov5nmksOaBSAM0DGOksJaqtnAakRqQOCEvPFXVFqBNpORJCEgcAAAAAAAAAEBg0e4bQO2Ep0phLaTi3aq4WG2k6K6SFRnoZED9xPaUMr+uYoLH/2+7IXj3S3krS/Zl9kiRh0uRnSQrvGE+f7CLbCdZcZIvR5X+HIk5WjKeQCcDgLKM5R9u48bMAAAALlVYUKw5367UmpVbFR7u0bEndNLRvQ+XMWzBAqAJs1X9Wrdg47a8IYAiNYDaMUZKOkPa84Hky1e5n9xhLaX4/o5EA+olqrNUuE3K+0Vl90su2Y806UzJiqr/18lbJe3/ruRBydco3Chl/yQln900uhAYS0oeJu35SLKLVO7nSMRhUtwxTiQDAAAAAKDGli7aqAfuek/7M/MUFmbJtqV3XpunTl1a64HJl6p5i3inIwIAELS4xR5A7YUlSc0v9ReRrHjJhPsLawkDpeYXSFaE0wmB2jNGSjhZShoqRbSRTIRkoqXoblKLEVJUev2/RlGGtP9bVXgroZ0v7f20pGjbBIS3lFpcJsX29q+qNhH+m1wSTpOSz2IVNQAAAAAgqG3asFP/O/YNZWflS5KKi33yev1bW61bk6G7bnxdxcVeJyMCABDUWEkNoG48MVLccf4BhApjpKgO/tEYcpaq7CrtQ9mSnSflr224tuLBzhPn77xA9wUAAAAAgMtMe2O+fF5btl3+Nb7Pa+v39Tv1w5zVOunUJvIaHwCAWqJIDQBAoBRuUrWbmxRuajpFagAIcsYYV+4l6MbMAAAAbjPrq19LV05XxLKM5sxcSZEaQNNk2/7hJm7LGwJo9w0AQMBU/uK1lE0rMAAAAAAAgplt28rPr3q7Lp/PVm5uQYASAQDgPhSpAQAIlLCW8rf7royRwlMClQYAAAAAANSBMUZt0pJVVQMby2MpLb1F4EIBAOAytPsGACBQYo6WsmZWMcFIURW0AbNtqXi7f79qX57kiZWijpTCmjdaVAAAAABA48vJztfHb/+ozz9cpN079ys+MVpDzumtCy4/Xs1bxDsdD1U49+JjNWXyjErP+7w+DTuvTwATAQDgLhSpAQAIlMiOUtQfUv5v8q+oPrDPScmt1wmn+gvQh7KLpaxvpMKNh3yMkfJWSFFdpLiTJENjFABoHEZVd8AIVm7MDABA07Nvb47GjXpJ27bslc/nf32YuTdX778+T199ukST/32N2h7OzcnB6qwL+ur7b1ZqxdLNsn0H9zE1xn+v+VV/O1WHteP/PwBNk7H9w03cljcUcFUbAIBAMUaKP1lKGFzS+tuSFCZFtpeSz5eiOpX/mOx5UuHvJQ/ssm/zf5NyFzdcPtuWijKkgg1S0Xb/YwAAAABAo/jXpM+17Y+DBeoDfD5bWZl5euSe9x1KhpqIiAjTxKf/oiuuGaCExOjS4+lHpGj8/xuuy68Z4GA6AACCHyupAQAIJGOkqI7+UR1frpS/SgeL0xXIWybF9JRMPX+lF2yUsn+QfNkHj1nxUtwJUmRa/T43AAAAAKCMPbv2a87MX8sVqA/weX1a/etWrVm5VZ26tglwOtRURGSYRl53ii6/ZoB27div8AiPmjWPk6lqs2oAACCJIjUAAMGr8A9VWaCWJLvIv+o5om3dv07BRinr6/LHffulrBlSwhAp8vC6f34AcCtjuXNLBTdmBgCgiVm/ZnulBepDrf6VIrUbhIV51KpNktMxACB42Lb7ujS6LW8IoEgNoOZ8uVLuL1L+asnOl6wY/5640d0kK9LpdIA7+HxSzg/+55GK/cdMjBTbV4o+suxc21uzz1nTeRV+rM/fUrwq2fOliDT/KnAgFPjypbxf/J0KfHmSFS1FdZaij/K/DwAAADSysHBPg84DAABwG4rUAGrGmyXt/cRfnD6wstOXI+X+LOWvkZLP4cI+UB2fT9r7vuTLLHvczpWy50jFO6X4kw4eD2tes88b1qzumYq2+W9AqYpvv1S8QwpPrfvXAYKFN0fa94n/d1jp77NcKXep//dZ0jmSJ87RiADQGPLzCrVi8SYVFhSpfadUtT6sHn8/AADqrUv3toqOiVBebmGlc4xl1KdfhwCmAgAACByK1ABqJuvbsgXqUra/gLV/rpQ42IlkgHvk/FC+QH2o/N+kqCOl8Jb+x+EtJU9zybtHFbf9Nv4VzvUpqFVXoC6dl1P3rwEEk/1zyhaoS9n+58P+WVLSWU4kA4BG4fX69OaLszTtP/OUf0ghpHe/Drr53nPVqk2yg+kAoOmKiorQBZcfr7deml1hd1HLMjrljO5qmZoY+HAAAAABwGZlAKpXvNu/wvPABf1DW/4a4z9e+Lt/dRqAyuWvrn5O9o9lH8efIqmSNtsmTIo9qeJzNVXTDggmpn5fBwgG3iypaIsq3+vd9ncXKK7iZhI0McbFA/B77pHP9Pr/fVemQC1JyxZu1M0j/63dO7IcSgYA+Mv/nKzThvaQJHk8Vpm3PY9pr7H/e45j2Zo627aVm1Og4qJ6bK8FAE2Y8blzILBYSQ2gekU7/W/LFacPZUsFG6WYowKVCnCh4uqnePeWfVywquSdkhtCShn/XtSFG6Swo+seKbyNZKJKOiVUwoql1TdCQ/HuGs7bKYWxYgWA+21cu12fTVtY4Tmv16fMfbl677W5+tttQwOcDAAgSZ4wj26//wKde8lxmv7xz9qxLVNJzWI1aFhP9T6uvSyL9UWBlptToGmvzdWn7/2kzL25siyjE07rqkuvGaBOXds4HQ8AgJDCXzoAaqCaHxXG+EfBusDEAULaITeA+PL8LcCNkYwl/3PRkozH/9gYKW+pv1hd5y9nSXHHVz0n7vgKbkwB3KiGf/oaT+PGAIAA+fK/S0pX5FXE5/Vp+oc/y+djyQAAOMUYow6dUtXvxM46efBROv2snup1LAVqJ+Rk52vc1S/prX/PVuZe/9ZYPp+ted+u1M0jX9TCeWsdTggAQGhhJTWA6nnia1ag8u6SbJtiFlAZEyPZ1ewBHdH24PuFf2pLXNFzyy6QindI4a3rniuqo/9t9g9lV1SbaCn+BCmyfd0/NxBMwlvJX6iuqhhj1e/5BABBZPeOLNkVbXR6iLzcQhXkFyk6JjJAqQAAh/rknQWa+szXysk++FqsRWqC/n73Oeo38EgHkzU9/5nyrX5ft0M+X9nfnT6vLdtIE+96T299dZsiIsMdSggAQGihSA2gBqq+sFX7eUATFdtXyp5T9Zy4fgfft2vQHlyq30rqA6I6SpEdpKKtki9XsmJKWoG7+O592/a3Q8//taSNepi/4B7VTfIkOJ0OTrAipaiuUv4vlc+J6ixZUYHLhOB2oFuM27gxMxpFcos4GfPnLUPKiowKV2QUF9sBwAkfv/WDnn/083LHd+/I0j9uflMPPfdX9enf0YFkTU9BfpG++ODncgXqA2zbVvb+fM35+lcNOqtngNMBgAvZtn+4idvyhgAXX3kGEDDFO2s2z0RzURSoSlRnyZNcxfnu/uLwAWHNavZ5PUn1ilXKWFLEYf6cEYe5vEDtk7K/84/inZJdJNl5Uv5Kad+HUlGG0wnhlLjjpIh2JQ9M2bcRadW3vwcAFxl0Vk95vZV3j7A8loac24uWsgDggPy8Qr3yzNcVnrNt//+88Pj0ajtioGHs3J6p/LzCKueEhVnasHZ7gBIBABD6eCUKoHp2Qc3mRXVu3ByA2xVulOzMKs7/5l/FfEBYiuRJVJl9qsswUnia5IlrwJAhIv83/ypqSf7VY6Zk2JJ80v6va75SHaHFeKSEwVLiWVJUJym8rRTZUUocJiUMkQyNhgCEjk5d2+jUM4+u8D5Sy2MpNjZSF195UuCDAQD0w6xVys+tvChq29LGtTv0+7odAUzVdNWkhbdtS5G0+gYAoMFQpAZQPStKlRfJDhHVrdGjAK6W/6skI1lWxUO2lL/64HxjpPhTJHlU/jloJBMlxZ0QqPTuYduHtHM+UJw+oORPH7tQKlgf4GAIGsZIEa2l+IFS0lAp4WQpog3dQACEpNseuEDnX3a8wsI9ZY53PLKVJr8ySqltkpwJBgBN3L7d2TJW9X9/7t2dHYA0aJmaoPSOKSXbZFTM6/Xp+JPZJxwAgIbivqUivkLJu8+/CsaT7O5WpIBbRHSQchdK8pT0nPpzy0Djb/XtianggwGUKt6hqvdut8u31w9rISWfL+UuKSmq+iSF+TsXxPQs2x683Kez/b8z7SLJEy9Z0fX8BlzCLpR8+1WulXMZRiraTgcIAFUzxp2vN7jhAocIC/fob7cP1eXXnayff1ivooJite+cqo5dWjsdDWhSsrPy9PUnS/TjrN9UVFiszt0P07CLjtVh6S2cjgaHNE9JkF3J/seHapGSEIA0MMboiutO0UN3vFvhectj1POY9urUtU2AkwGAS9mq+jJoMHJb3hDgniK1r9BfJCtcp9ICmYn0798ZdRQXYoDGZMX6V2zaBSXPtZJVGAeed7YtqUAq3uUvqAGoxIF209XN+RNPohR/shQ3wF9wNuHVF00KNkp5P5cUa0uEp0kxx/oL1iHt0NXTlRSoJcmXF6A8AAA4LyExRqec0d3pGECTtHblVv3v9VO1PzPX/2rAln5dulkf/meexvzv2Tp7RD+nI8IB/QZ2Vlx8lLL351d43rKMOnZto7T2LQOcrOkaePpR2nXrGXrhiS8PvqI0Rl6vT916pOmexy5xNB8AAKHGHUVqu0jaP92/GuzQi/t2gZS3yH8BPra/U+mA0Ofb71+ZeOBP9D/fFGKM/6m5f6aUNNxfQANQXnhbqWiLqixUR7St/Jyx/DdoVSd/lZT7Q/njRVukrB1SwtmhvY+1CVf1WxRU1BUCAAAAaFj5uYW6+29TlZ2V57+/u4TP6/9b9NmHPlFa+5bqeVwHhxLCKRGR4br+9qF6/N4Py50zlpFlGV1/25kOJGvahv/lBA0c0l0zPvpZf2zarZjYSA08vbuO7tuuylbgAACg9txRpM5fJXn3Vn6+YLUU2YkVnEBjsYsOvl/ZH+RGkp0v5a+UonsEJBaCTPFe////xVsl2VJYKymqKz+bDxXdXSraXMlJ4y+uRhxRv6/hK5Ryf6rkpO2/4STvZyluYP2+TlCrSfHZSFYNCv4Amrg/72vvFm7MDACh6dvPlypzb26l5y2Ppfdf+54idRN1+rm9FR4RppeemKGd27NKj7c7IkU3/u/ZOqp3OwfTuZ9t25rz5Qp99MZ8rfl1q8LCLB1/ShcNH3miOnWr/AbxFikJuuK6UwIXFABCkLFtGdtd/bPdljcUuKNIXbCqmglGKlhDIQRoLFacJEuSz9/au6o7R/NXUaRuigrWSzlzVKaddeEGqXC9FHOcv1gNKby1v/NHznyVa/1twqWEMyQron5fo3CDJG8VE2ypcKPkO77+XytYGY9/mwJfTtXzPEkBiQMAAICma9H8tTLGyK7koqfP69OieWtl2zarNJuoU848WgNOP0orl21W1t5cpbRJ0hFHtuLfQz3Ztq0n//GRZny4SJZl5PPZKiqUZs9YoVnTl+uuRy/RwDOOdjomAABNmjuK1NVdZJYtefdXMwdAnVmRUkR7f8Gxuv107dzqC9kILd5MKef7kgeH/vsoeT93gf8mojD20ZLkL9iHt5Hyf5OKd0jySBFpUmTnhlnZ68tW6U0llbL9z1WFaJFakjwtqv/7ob6r1uFuvrySGzZyJSva/3vOinY6FQAACDE+r092Na+jbR+rdpo6j8dSd1ZNN6jvPl+mGR8ukiT5DnmOeUta7U8aP01H9UlX85bxjuQDAAD+q9jBz1R3EZ2WnUCj8uVLxfsk1aT4HEaBuqnJr0G3i/zfAhLFNTyJUmw/KfEcKXGYFH10w/0eMxGq9mYSqWZ7W7uVbVe9TcgB3p2NnwXBx7alvGXSvmn+1vj5K6XchSWPl0i0dgIAAA3oyKMPq3JFrGUZdTqqLatmgQb24RvzZKzKn1den08zPlwYwEQAAODP3FGkjjhCVe+rZksR7N1Tjq/Av0dstSvRgSrYtrR/pmTvqVnxmdWyTU/RNlVdFLVL5iAgItqr6v8/jBSWGtorRu1Cya6mw4qxpKLtgcmD4FKwUspbooPPkwNdB2wpf5mU/4szuRCcjHHvAAAEhTPO76uwMKvSH80+n63zr+gf2FBAiLNtW2t/3VpllwLbZ2v1ij8CmAoAmhjbdueog+eee07p6emKiopSv379tGDBgkrnvvjiixowYICSk5OVnJyswYMHVzk/1LmjSB3VTTJVdCb3tJDC2wYuT7Dz7peyZ0mZ70n7P5MyP5SyZkhFGU4ngxsVbZW8uys5aSRZ/v1fjafk/QhWoTU1dkENJhU3egyU8MRJEZ2rnhPdOzBZHFNyBdAYfzFa5uAwVskxSXa+Q/ngGNvrX0Vdlbzlks3PLAAA0DCSmsdp/KQRMpYlj+fgZTjL4/+b9ayLj9UpQ3s4FQ9oMFn7cvXeS7M19tLndf15T+mf46fpt2WbHclijJHlqfqytzFSWJgnQIkAAKHqnXfe0bhx43Tffffp559/Vs+ePXXGGWdox44dFc7/7rvvdNlll+nbb7/V/PnzlZaWpiFDhuiPP5rmjVPuKFJbkZIVV/n58FYHLzg3dd4saf8XUtGWPx3fJWV/LRVuqfjjgMoUbqzkREnh58+3gxdv8bdNRdNhV7X38YE5/IwOqNh+UmQXHexCcqBoGynFnSaFpzqVLDCMRwcL06pkZaFds3+7CC3F2/0r7atURPcHAADQoE44rZuee+cGDTqnl+IToxUdE6HuvdM14YnLdeM959LqG663/rdtGjVssl5+4kutWr5Fv6/doW8/W6qbL5uiqU995UimY07sVGWh2ralvid2CmAiAEAomjx5sq699lpdffXV6tatm6ZMmaKYmBi9/PLLFc5/4403dMMNN6hXr17q0qWL/v3vf8vn82nmzJkBTh4cqlieHEQKVkm+LB2sqR9YpVlywblgpRTZ0b/HZ1OXu1Cyi1S+1WvJ49z5UviFFPVRc3ZRyTtGZZ57UvkC9YHHhaukyA5SWPMABITzanBBxYQ3foyK2F6paJNUsE6ycyUTLUUeIYW3Kylkhihj+QvV0T2kwk3+57EnQQo/rGn8/K/RKlgjWVGNHgVBptoC9YF5RdXPAQAAqIX2nVtp3APDnY4BNLjCgiLdff1U5ezPl31IZz2v139T8NsvfKcOR7bSwDOPrvfXys7K05cfLNJ3ny9V7v58Hd4xVWeNOE59TuxU7maPi646ST/M+q3Cz2NZRglJMTqVLgYAgHooLCzUokWLNH78+NJjlmVp8ODBmj9/fo0+R25uroqKitSsWbPGihnUXFKkXu1/a/60IqyUkQrWSjF9A5kq+PhypeKtVc+xC6SiP6SItMBkgvt54qUi6eDzzlb1RUkjFayhSN1UhCVLxRmqfB9kI4U58EvWLpKyZ/6pXf1+KXeH5FklxQ3yt6cPZVa0FHWk0ykCz0SUbD1QTUGSm9uaHiuhZvM8NZyH0HfoFgFu4sbMAADAleZ8+Yv27squ9LyxjN57eU69i9RbNu7SnVe+qL279pfuMrdty17Nn/mrBp/XW7c8dKEs6+DfQN37pOuWf1ygJ+//SEb+/d+N8a+gjk+M0cMvXK2omBC/JgAATrIlua2JYcnvl6ysrDKHIyMjFRkZWW76rl275PV6lZpatmtlamqqfvut4hul/uzOO+9UmzZtNHjw4LpldrngL1LbtuTLqW6S5NsfkDhBzVv5H4QHGf5boXYiO0n5v/jfN5b/OWmkqgvVdkn3AzQJUUdK2dXsee9EoTR3geTdU/E5717/+diTApupPnwF/lXhdr5kYqSIw51boR7sjJHCUspvffFnEekBiYMgEtZM8jTz/wyo8MYa4y9ke7jJCgDw/9k77zg5yvrxv5+ZvZZL740kJJQECCX0Lh1BsYCCgCKIBcRG8auigj8FBVFUpKOiICogVXpC76EEEhLSe+/lcne7O/P8/piZ3ZnZabe7t7d7ed6v197tzjwzz2fmeeaZmefTFAqFQpGED96aj6ZrmEawJkKakrkfLaetNU1jU3FKYdM0ufrif7BpQwsuZ+1cnZMffZ+xE4bzua8c7tnupM/tzz4HjeWpB6cy56Pl1NXrHHzUeI45dR96NBcqGxQKhUKhANhpJ6+T51VXXcXVV19d9np+85vf8O9//5sXX3yRxsYdM+Jj9SuphcASMyp0p1AT9QCa7xw45oGe71KdK0XH0HtD077Q+kE+p6sM85h1EFbuW8WOQd0o65NZEry+fiykhlVWJrMVMosJ9+6W1npzEmg9KilZx5ES2mdA2wws80M79H7rVGiaBA27dbGAVUqcgZsQYKyzokUodiyaD4UtT2NdT+4xQgAa9DysMJ2FQqFQKBQKhUKhCCR2iihXsPg63n99HssXrYss89DfXuG0cw5F9+WhHjqiH+d/78TiK1coFArFDsfSpUvp3TsfZS/Iixpg4MCB6LrO6tWrPctXr17N0KFDI+u44YYb+M1vfsPkyZPZe+8dN/1EbcSBqx9DrNem8oYCra/lXefGUSrmF0BqZCWlUnQHmvYGrWfH3jzqR3eqSIoqQgjoeZRlzOA2ThBN0LQ/NB9eeYVPdi2J3oCzaztdlJJpnwltH5KPj+Mcl2EpqtMLukiwKkZmQG6xw90G9D2hWTnJs2sqLpqiCkgNgN6nQN0I7/K64dD7k5Aa1DVyKaoUUcMfhUKhUCgUis5nj/1GhXpRO4zedUhJobU/fHsheip6Gnvd6i2sXbmp6DoUCoVCUV6ElDX5Aejdu7fnE6akrq+vZ//992fKlCm5ZaZpMmXKFA499NDQc3P99dfzy1/+kqeffpoDDjigvCe+xqh+T2qAxj0gvZBCjxcAYYVtrLSXXjUiBOjNkN0erBBylskWoKmioim6A1HRDNwI0PpAncp7vkMhM3b+X2kp/8Dywk/1ryKPRNsD2UMJptyVQGZsD+oIWqdB3RiVf9SDK4pIUPSHXJ+s8vZXdB6pftDrWDDb7BD6jaDtmGGVFAqFQqFQKBSKUjjo6Pj0XuP3Ls1hRiZ8d0vsW6FQKBQKRZm49NJLOe+88zjggAM46KCD+MMf/kBLSwvnn38+AF/5ylcYMWIEv/71rwG47rrr+PnPf859993HmDFjWLXKSqPZs2dPevbs2WXH0VXUxoy23ht6HW9NIAIe74DUEOh5rJqcB5AGGOtjFELCDoGrUHQAYyuQzvctEeGho/WCXsflFZWK7o/ZDtuehfRcEGZeMWiuh5YXbCOjCpMa6FsgfP+dclXuMZlZQayBiGy1wlYrXNRZxjIOTp/0RBeRVt5qxY6N1gh6X6WgVigUCoVCoVAoiuSNyTMBaWmI3Vpi1/e505eVVMde+4/ByEZ7a/cf3IvBw/uWVI9CoVAoFB3lzDPP5IYbbuDnP/85++67L9OmTePpp59myJAhACxZsoSVK1fmyt96662k02nOOOMMhg0blvvccMMNXXUIXUpteFKDpUjo8znILAdjA6BB3UjLE0ZhIbMk8goz050uiqKbIf19RvicUl39rnFP0JSn/g5F23QwtxE6/mx/2wqrK4oP7dVhtB5AAxA03jlKylRhioRKkVluhfA2t1ny6AOhcT9I9fGWK7j2QpCZsotY0wgBDROg9U1nAfl2d7ys66FOpSVQKBQKhUKhUCgUilKY+f4SdCEwHKV0gKJ64exVpNNZ6uuLm4re/4jdGDqyP2tWbsQ0gucePvflwwvyUSsUCoVCUQkuueQSLrnkksB1L774ouf3okWLOl+gGqJ2lNRgeUvX7wSoMMKBiDqgDohRVug7XsgARYnINvuLzwtVBHmnRlu2KroZ0rBzIkcZyBiQXgwNu1ZKKjA2EaygdpO1jJ5SAyogkIuW1yG7xLvMWAUtT0HjAdCwS365lnC8TlpuR6J+rOXdb26yJkZyYb9thXXTgSrig0KhiMcTgaGGqEWZFZ3Kh28v4JG/v8YHb84DYO+DxvK5rx7B3geP62LJFIodDyNrkEkbNDTVIdR4regGaJrVj+N6s1ZCf9d1jatv+TL/99W72LJpO9KUubpNU3L0Jyfyua8eUfT+FQqFQtEJSGovD0ONidsdqC0ltSIaoVnKjfaPCb+apDVxX2mMDZBdBwgrRLveu/IyKIrHbIsvk0NZre5QmK3E5yvXwNhSCWnyJK3P3AJUUEndPrtQQe2m7R2oG5pXOqeGWt7ecnvIBgL0/qD3CVnfQWTWCjEuW0E0Qd1wEDX6qJBZaimowZeqAEBA2zSo20mlC1EoFApFt+fhu1/hjl8/gaZrmIZlUDr1pdm8+fwsvvbDUzjja0d1sYQKxY7BU/e/xb1/msyGtVsBSNXpHH3qPlxy1Wdp7FHBqFMKRZnZ55BxTHns/dD1miYYv88oUnWlGQmP3mUItz/+fZ5+YCovPvEBLdvaGDVuMKeeeTAHHzMeTVPvdgqFQqFQ1Bo1OvOsCKVhT3tivoVARXXjPqA1V04ecxtsf90O0e4iNRSaDgWtoXKyKEokocWrqOtcMRTVhUeBGeBpLyUgK6/o9PRDkZfFLRNQ8dtg26z4Mq3vQ/OR1nchoMchVm7vgjFdAJrlEVwO2udZilu30UFrChr39Xp31wrpqHMtLUV8ZhnUj6qYSAqFQqFQVJq5M5Zxx6+fAMgpqAEM+/tfrn+SiQfuzO57q2hlCkVn8qefP8RT/3nbsyybMZjyyHu8//pc7nr6cpqa1fyIojY56uSJ/PV3T7Fl43ZMs3Au0jQlZ1xwZFnq6tOvmTO/8QnO/MYnyrI/hUKhUCgUXYsyMetuaA3Q8ySoG4NHYaQ1Q9Mh0LhX5WQx22HbFDA2Fq7LrraULtKonDyK4pCG5f2ZlNTQzpNFUX1ojaANJDfeOGFR/WG8Kh1SOzUY0L1esm5vWqFZ6+uGVVYuEkQlyK7z/q4bBj2Pt/JWu0kNgZ4nlufcphdYXtwFXvFZa3l6Qel1VBKZCb73+Mms7HxZFAqFQqHoQv5335uR+Tl1XePxe1+voEQKxY7H7A+WFCio3WxYs5U//fyhCkqkUJSXhsY6fnXH+TT3avSEsHfuP1/57gkcetweXSWeQqFQKBSKKkZ5UndHtEZoPgzM/S1PZqGD1qfyuenS8yxPtUCkFYY1swzqR1dSKkVHySwBuQVLCZkgKYPypN7xqB8D7b5oCU5/ccadzHKoG1lBoYQ19slM+NgnNBJHCKgoAcY7qcHQ6yQwtlk54rUe1qccSBPaPogu0/aBZfxUM6GxEyaQkVs7VwyFQtEN0KhNu95alFnRGXz07qKc13QQhmHy0buLKyiRQrHj8dcbno4t88rT07n011+grl5N0ylqk3EThvOXpy7j2Yff5bXJH5Fuy7DrniM49axD2GWP4V0tnkKhUCi6AilrMCd1jcnbDVBPv90ZraFrw2lnFiUos1Apqaud9MKEBQVo/StvDKHoegoUfa68v46yMLMI5IGVU3Ia64BsTH80rKgOdVX2wiwi8nTpPYGe5a0vuwZke3QZ2W6Vq6uRSAnhc/G+cmG5vhUKhUKh6B7oqfhnryRlFApF8Sycsyq2jJE12bBmC0NG9q+ARApF59Crbw9OP/9ITj+/PKG9FQqFQqFQdH+UklrReZh+pYejLJIRZRRVh6O8EgIQruZzWxUJq3n1XhUVrdORJmRXQWax7b3aDHU7W2GXlTI+j9lGXiHtPy/OcomlOazQJGic0jWqnLkN0vPtcNGapcSuG13BKAHNhYs6sy+Wcq6qFn/Y8hCUdaRCoVAoujkHHT2eZQvXYhrB9zxN1zj4mPEVlkqh2LGICrnvpq5BRSVTKBQKhUKhUOxYKJNpReehOYoWW7kphPc3wlVGUbVoPcm3Ga6cw5rrY6831nYfpY/MwPaXoPVVyC6zji2zGLa/AK1vWkpDhY1zLsKUpY6BQwXPmUg4tvjHoPQ82PYkpOeAsQaMVdD2nrXM2FwZuVJ9vb87uy8mHYdrabwW9QnLqccghUKhUHRvTv3SIei6FmjTJgRomuDUsw+tvGAKxQ7EgUfvHlumT/9m+g/qZkbfCkWVIbvLfJVCoVAoFN0INTur6DxSI/AoNp3/7hmSup0qLlZFMU1o/xi2v2XldDXbulqijuPJIxzjsSnbyHkwygxklkJ6AWRrUHnd+o4dMhryXuP2/+xSaP+oK6SqTkQPEuUAlhUMraz3A613dBnRDPqg/O/sakshDRQcj0xbimKZ0EM3jPpxHS/T2X1RH0D844Bml6sRRELFvaYmAhVViNlmGaKkF9gRHRRdSs44rwY/CgUwdKf+/OzPXyFVn0LT8v1C0wSpOp2f/fnLDB9VQ/d4haIG+fL3TkDEjMtnX3xchaRRKHYsDMPk6fvf4uJP3cinxv+Iz+z1E379vX8yZ/rSrhZNoVAouj9mjX4UFUWF+1Z0Im3hE2TOcnNb5cSpNO2zoH0GHmVXejbow6DpcNBqxEbE3G61l1/J7G5b9zoprONOf4xnVNd6QuNBkBrYqeKWBbPFUv5FkZ4LDRNAqGEUvQdkkkyGR+RaLjdCQNP+0PIiwQp0AU0HePtx+2w8ebQ9SMsII7MM6scUL1fDrlZ+bnNrcD11O4PuykNXib5obguWxYME2QKizPmwO42E42t3S1GgqG2kAW3TILMAzzWp9YOmg0GPMbxRKBSKEA48enfunvJ/PPPA20x7cz5Swr6HjOPkLxxI/8FqbFEoOptBQ/ty5U3ncM13/hnoyXnyFw7ktC8f1gWSKRTdG8Mwufa79/L6szNy01rp9iyvPjOdV5/+kB//8VyOOHliV4upUCgUCsUOTY1oyRRFIaU14dlVHqyZFeUpU4u0z4H26QQqfoyV0PpKxUUqmuzKZOWEAHRIz4D0TArMjsxtsP3F2vAKy65OUgiMDZ0uSk2QGhFfRvS0Q8dXkNQQaD7Wq/QF0PpC8yegblh+mZRWaO9IZa2w8kKXgqiD5uOsHNeeyAR10DARmg70Ks4r0Rcz8/Mh+wOxPfLSC4qvo9KIlNdLPgxPpAiFoguRElrfsq5H/zhkboKW5y2jFYWik7j66qsRQng+48fn8xS3tbXx7W9/mwEDBtCzZ09OP/10Vq9Oco9SVAv9B/XiSxcfx3X/+AbX3/MNzv72cUpBrVBUkMNP2It/vnolJ33hQAYO6U2/gT3Z55Bx3PTQd/jer07vavEUim7JU/9+k9efmwF4p0ZNw8SUkusv+xdbNqpn7DBWLF7HHdc8xlc/8WvOPfyX/L+L7mbaG/O6WiyFQqFQdDOUC2B3RGYtz7r0fDv8srCUSA27WyFwK0aSsLjtnS5Fl9A+3f7izsPtCtNrrLaUtpVW2hVFQIwLv4e8Y5IqTCuXbyjS8rLucWRZJSw70ihvuW5Pgmtda+6a0KOpQdDzRDC2gGwF0Qh6n4CCSYx5JGWJ+SLqLbmMTSDtaBL6QEgNCMiRnNTIqAS5nLd1IQDNqjJ3TbtkqLn+niI/BvvPo7O8oXLiKBRRGBusnPOBSCBjRWNpnFRJqRRQu6Gzi5B5zz33ZPLkybnfqVT+VfEHP/gBTzzxBA888AB9+vThkksu4fOf/zyvvfZaWcRVKBSKHYF+A3vyfaWQVigqxiN3vxq+UkI2Y/Dsf9/hjAuPrpxQNcJ7r87h6m/+DSNrYhrWfMNbz8/ijec+4sxvHctXL/9kF0uoUChqASElosZSgNaavN0BpaTubsgstLwEpttbVUJ2ufXpcTikhnaZeIV0w4s+uwYw8Cqonf8y/7/tI+hxcBcI2EH0gZYXV9xkZ6LJUGl5Zsu0pairWpIq/Gpw0rozyCwmPEy2jbneVnp20TnTewMR3kJCA60PmJtj9tM/en0cjrekXxllrIPta6FxP29O6kT1Ccs7vFjqhkNmLrn+LNz/XWNWXQKP+WpBGmCucS0I6ncCsksg1bdCQikUEcSOoxLSi6Bhv9pUmCpqglQqxdChhe8Jmzdv5i9/+Qv33Xcfxx57LAB/+9vfmDBhAm+++SaHHHJIpUVVKBQKhUKhiCTdnmX5onWRZYSAeTPCDEV3XLZu2s7/u+husmnDk6LAUVb/57bn2W2fnTjshL26SkSFQqFQdCNUuO/uRvssS6FYgLQ+29+yFNkVIYkCuhtOtBpbKVRQ4/stwGytnEyl4FaYlQtZ5R70iXP7lsGrtjtgtkV7mgmBZbhR5Z649bvHFNCsnNGlkFkc4i1pj5dt79s5om30frai2j2maN7fqZGgNRYvU2oI+ceBsDFLh9TgALGzVhjw1jeh9Q0rr7dZBde3zAAxRhFCVP9YpNhxkG3EPzdlUfcdRWcyd+5chg8fztixYznnnHNYsmQJAO+++y6ZTIbjjz8+V3b8+PGMGjWKN954o6vEVSgUCoVCoQhF1630JZEIQV298t/y8+yDU0m3ZT0KajeaJnj4Ly9XWCqFQqFQdFeUkro7IU07Z2jUJGcGMpWyEuyGCugkaD3sLxH5XREBYX2rFL0P5Q+6UFfm/ZUZ0ZSsXK6td3A01/lylNXuD2D1Ib0rpEtO3WhIjbF/uK9f+5ptOhS0EsNDp+fHFBCQXuhd1HgQCN36uJXTQrcMKhr2KU0mY0t+n2EyIV3lnO02wranoP19O1rHCisnfcuTyXPZdxaijlx/C+qTOW/xhNe6QtHZaE3EPzfVoR7dFR1ly5Ytnk97e7BxzsEHH8zdd9/N008/za233srChQs58sgj2bp1K6tWraK+vp6+fft6thkyZAirVq2qwFEoFAqFQqFQdAw9pbPf4bug6eHP2KZhctAxEyooVW3w0bsLiZpbNk3JzPcXhSqxFQqFQqHoCMpcrDshW4FMTCERH862bCTw9umOzzNaA/ETzbLC+cFLRcfygi1Xg1XKm79IUkNBNER7WWp9rI8CUjv5cpEH5AFODa/+ELVCQNOBkB0K7TNtj2YB+jBo3AP0vqXXERjpwo20clW7yS4mdy4LzqEJmdmg79cxOWQ7GOvt+hJGdTA322HTsUL2b3+F4GvZtLyqexyfL19phG4ZHWSiXq4l1I+poFAKRQR1YyA9N6KAgPqx1T+Odks0atM4wJJ5p5128iy96qqruPrqqwtKf/KT+byCe++9NwcffDCjR4/m/vvvp6lJGfQoFAqFQqGoPb7wjWN477XgZ2xN1xg0rC+HHr9nhaWqfmI90AGxozomKRSKjiGl9aklak3ebkAtzrgoQknqpVhNzV7l4X+LIkk7CEsJWgtIiWX84IQZjsL2OI0rI6upDwYgNCs3cHgBa71SFlg4hi9Cszx7NedTZ3v/Qs2EqDXWQfuHQCtoOmgayNXQPg3McoxXCcYH4SojM/He15mFycNWS8MKKd7yFLS9BW1vQ/sHCbd1PaRlFmONCxEPbpl5yfbbWTTsAaKe0DGpfnfQelZUJIUiFL0f1I0NWSlANCZISaBQFLJ06VI2b96c+/z4xz9OtF3fvn3ZbbfdmDdvHkOHDiWdTrNp0yZPmdWrVwfmsFYoFAqFQqGoBvY9dBe++8vTEZpA06z3Quf/wKG9ufbuC0nVVXnEty5g70PGRbqoaLrGxIPHJVJmKxQKhUIRR5VrikJQ1gzBaI2g9Y0pJC2Pxkog4pSaGohuqKTWeicLIZsa1vmylANza/57ZJv68uQG4oQ6r4UHWelVFroJW76jkllh5/HWAtpWWOuM1V0hWccwNkHbqwRGpDA3Quvk0u8/qUHxZXTXhL+xjnhjHgnZtfH7lRLa3oDsIoqKiuBu2+yKBDLFlelktB7QfBzo/nNeBw0ToWHvLhFLoQilcRLU70FBoCN9qNWXS8k9r9hh6d27t+fT0JDMSHLbtm3Mnz+fYcOGsf/++1NXV8eUKVNy62fPns2SJUs49NBDO0t0hUKhUCgUipL55JkHc/cLP+LMbx3LwcdO4PCTJnLFDWdx5zM/ZPjogV0tXlVy/Of2p7lnI0ILnrszDZPTv3ZUhaVSKBQKRXeldsJ9SwnZZZCZb4dLFaAPhvpdQVcPFTkaJlhhVgMRoPe3PpVCCCzPQf+DTTc2NBDCaoe298IKWApqvVdFxSoenwescHtC+xTO0iRYUe0P/1zlxgnSgPbpdt5wOx8vkDsOISA9HfRja0Th3snI7eHnQYjaMSxqfz96vdwOmaVQP6r4OmRbgjIuJblM6oGe4JoyVoERoMxO3EYuA5UkciWWvRMRzVA/GtIZkNsAzQrfnhqqrl1F9SE0aNwLGsZbBirSBL0PaM1dLZliB+Dyyy/n05/+NKNHj2bFihVcddVV6LrOl770Jfr06cPXvvY1Lr30Uvr370/v3r35zne+w6GHHsohhxzS1aIrFAqFQqFQRDJ4eD++8oOTulqMmqG5VxO/uOsCfnbBX2hvTWOa1nyBrmsYhsn5V5zCAUeP72IpFQqFQtFdqA0ltZRWqNXsIvdCyzOvdRU07Gfl8lNA3Qgw97HDt7on4KXlZd10WAUn5l0KPSnz9UppTcRKk+QhymuMup3BbIX0LPJKTvu/PsjKe1sraD0L+4xweUS72xaRb99cOVwKMNtoQfTofLlLwVhNzpvWOVY/5hbro6u81JD29QMfnmu/ShWDUibIFw1k55aopN7iGv8CEBoYiwE7rG/SPNhaghz3mSV4jS46iFsWvZ/lXR66L2GV6UqkaYUzN1a6FppgrIDWFdB4UOUiiygUHUGkLEMKRZVQKxFg/HRM5mXLlvGlL32J9evXM2jQII444gjefPNNBg2yolHceOONaJrG6aefTnt7OyeddBK33HJLZwiuUCgUCoVCoehi9tx/Z+6a/EOe/s9bvDH5I9LtWcbvO4pPnXMYu+41sqvFUygUtYLKSa1IQG0oqY0VPgW1g91h2t+3FH/K08SiYVfQB0B6BpgtgA51o6FuVyu/asUQLqda10SZ811oQH0F5akgQkDjnlZo3/aZIFuBFNSPg9SYvBK3FhApK7y1NPEopHLt6POYDlruVlLqfav/+JN4u+bKKSU1kHAC36BqbzsyIMR3YLl06XVFhc0XwluH1gz6EDDWEKwQFqD1B713fL2yNXgfbkOMoAcxoVmRS9z32LqxVmST8Mqs8a4cSNMKHe6cA60f1O0Eoi56u8win4LaJRtA21Ro/qSdt1qxQ2JsgewSaywXDZAapQyPFDss//73vyPXNzY2cvPNN3PzzTdXSCKFQqFQKBQKRVfSf1Bvzr7kBM6+5ISuFkWhUCgU3Zgq1Rb4SEdNhAMIyCyEhr0qIk7Vk55vhSJ2e/BmZlneoU2HVG5CXuggs+HKq2r2qiwVKSH9MWRmk2+HNKQ/tNqh8UA7h28NILM+T2i7TwW1X1x7CmHluJZmdSuqhTtfo9/z1PVbqPygFu62jPDUlS7DlWojTuGZK1em8TMod3euX/nqaJwE21+0jSJ8fVHUQ9MBCetsAjaGrbT+abpXUe0osBv29RbXe0ODO2qHr83rxlphtUvF3Aqtr9nH7pyzpZD+CBoPhtTg4O2khMy8uJ1DZrGVNkSxY5GL0LMY77PSfEtR3bBvdd+jFAqFQqFQKBQKhUKhUCgUim5AbczAxYZglWCETbzvYGSX2wpqyCsN7P/mRmh9u7LyRCkthQDRTcMnZBfZCmooaAdjNbTF5L6tJsxt1hy+EHg8Los2MMjYHp1VjD6UQsWrO+y3sBTUWgLv1R0CfxQLEfABKIMXcjGYppVLun2W9d8MCLUtBGgJPChTJSo0RV/3D7znx0b3hRPXekCP46xoGDnbshTU7WIt13omq7suIky5/9rOXe8A0lbm+ajfBZqOsLysc0ruflYY7YZ9SzdCkhlofRVke14Od177tjctJXYgJsiW+DqMTaXJqKhN0rNcfdp3j84usVN1KBQOQfe0WvkoFAqFQqFQKBQKhULRRTjhvmvto6goNeLKmWCSRXTT3MYdQUpIz44qAOY6S6FfkVyhwvu/ID+xLDo1alUT2w6AsRzMPWokRL3fW1qj9IarcvsYmSGfRxyvss3pv9LwltmR0XQwo86D01+6oN3Tc61IEp4++z6kdoOG8d6yDftB64vh+xJNVpjpUtB7QXYTwf3G6W8BXt3ZBWAstE6h1K2ixmLI9rCUxYnqHgraIDDXBtcd1YSZBVC/W6FsqSHWx7kuyhkdI7vMpaAOQkJ6ATTuE7AuoRzmtmIkU9QyMusNVR80vmfmB/d3hUKhUCgUCoVCoVAoFAqFQlE2akNJnRpmTVZHKcZSQysmTtUi28DcElNIQHZVhZTUIUo+YYeKppt6Upubk+U0zq4qX87WruJ19QABAABJREFUzsTTRGVQQIle1R8m21idoFAWzA2gD+x0caqeXBjqsP7h9qRuCCnTCaTn2ApqPxKys63/DRPyi/V+0Hg4tL0FZL2biD7QdFTpSlhjLbHXkbEScI0N6Y+8oatzMpiQ+Qgr/3MCD28hrJQP7R9a3qIdMjYxwFhn3Y/D9l1uskH5pN1IK3oIAUrqpDnGu8q7X9F1GOsAI6aQaV2rqeGVkEihUCgUCoVCoVAoFApFCZimyfuvzuHZ/7zF6mUb6DeoF8effiCHnLAXeko5NyoU1UxtKKnrdrGV1GHUQ6pE77ZuQdyka0fLlYkg5UWBV3V3Isn5FUBAyOFqRATJGZCDNin1u3eOQqucSFcbBuXdznlT10gbdjYy4ZhiZivnTG2akPk4ukx2DtTtDppLKH0QNO4H7R/b4aKFlVu5YXfQynDLTNRnXOfTNOJzK2dmWfdJf1811lkeocY667c+AOrGWTmuzT2tyBpSWt7KuTQRUbJ3wr3DbLW8xLNLLQ9X0Qx1Y6y8wDIbu3n4OJpQSd0t70GdjNnmarOMHWFgDKTG1EZUG3e/ihrfzST9LwazHdLTbMMne79af2jYO1l6AYVCoVDs8Gxat5Un7n2NFx99j+3b2thp3BBO/fLhHP7JvdG08jxYSyn5+L1FTHnoHTat28bAYX046cxD2HmCMtYqJ2uWb2TKQ1NZt3ITfQf04pjP7c/IsYO7WiyFQqFQKGqeTDrLtRffzZvPzkDTNUzDRNMFbz47gwmTxvDLe75Fc68qd5hSKHZgakNJLXpbnpdheWxTQ1VIRrAmitHxKDiCQmxXLI9uzOS/lCAqrDCvBFov4pW4lWyHEhENBIe9zv0J2KYHyO3kz4P9v35C6eGSK4IRrUivdiV7xTHweAeHGqFUMLy9kdBTOLsgHy5bSmh/DwzbKEpg7cNcCa0roeFgK7R1KWi9wVwfU6avS775ocXySEth6M45nZkP6Rl4xiJjjaUsq9/TUmprI6zl5tZkDsV6mccsYzO0vYrVfxzDjy2Q/tDykNb6gLmR8HYU4eOobCSRMY2ojcegqsHcauUJx0mJAMhtVl/LLoPGw6r/eUyQcHwv0YDB3A6tUygwpDA3WGkFGg6FlJqYrgmEZqc6qTFqUWaFQuFh8eyV/PDMP7Nt03ZM07ovbVq3lQ9en8vhn9ybH998XsmeQen2LL+55O+88cx09JSGaUg0TfDoX1/mk+ccyiXXfKFsyvAdFSklf//tk9x/82SEAKEJpIT7/vgMp5x7GBf/8gx0XZ1jhaIjtG1v54PX59LemmH0bkMZvXtIxC9FyaxYuJapL8wkkzbYZeJI9jlsV4SaE1NUGX//7RO89dxHAJiGaf+3np1mf7CYP/7fv/nJLV/tKvF2bExqL1Om8kmrOLUxO5v5CGgn36OdiUP7t7EMjF1A38G9UoRunQNjY+HF7w6xrVfw4S12IrgberGJekiNsMPQ+kMgO3lbm0CvlcnpkJFZCFfz+a5JeljGI8YKa3vRAPUTS1fwVYxUwnTT3bD/loo/tD/kldVaBY1SAnMNByifpKtcdkleQR1Uvn0q6CeVpoTT+8Urqd0htZPmTDa35r8bm2wFNXj7qP09/RFoA/JpH7ReQB3R3sd15TWskRLa3yYfVt13rs31oPcg+hqTUDc2eJXmjFtR9xlhG3cpEiEltE3Fo6B2Y26G9ExoCMoRXk0knAQudeKl9XUi32za3wL9U4X1SGn1/+wqa3utN6RGKoMKhUKh2MEwDJOrLriTbZtbcwpqyE+4vv70h/z39hf44rePL6meW6/6L28+Zz03GlnTrtuq46n73mDg0L6c/b2TSqpjR+fhu17kP39+DrBfi1zt+dQ/X6e5VyMX/Pi0LpJOoagtTNPkX398hgdve5627XlL6/GTxnDp785mp11qZc6p+mnZ2sbvfvBP3njmQ4QQCAGmKRk+ZiA/ue18xu05sqtFVCgA2L6tjcf//ioyJFKeaUhefeID1izfyOARlUh/qlAoOkptmGtmF1v/hbA/tkeD8xtcE/I7MNIEsyUiLaywo0yvqaBMEQqG7hxmtX6ircjSsN22rI/QAR0a9q8hb1znGAIIvSY32p6sWcC0oiC0vw1t71dO7JLIJrTyqpU27GSE4R2PC9Y7yuoKKlmkW0npfBxcfdodfjsz37eNv7xh53IuAWNjfBmPEjthHxP1+e+ZhTHbCcgscNXXQnx47IzlGVoujDWuaAvuRxHXuTdWQt2Ewm0d9JGWQVDg/t3HL0I+gNzq31IRhrnePl9h925pXR+J84F3EaKhvOWCMFuAlrhCheOJ2QZtr0DbG5BdZK1PT4ftz9pKa4VCoVDsKLz74ixWL92Q8wbyIyU88teXMLLFG4FuXLuVZ//zFtIMubdL+O8dL9DeliTkjiKIdHuWe373VOh6KeGRv7zMts1lfM5WKLoxt1/1EPf+/mmPghpgzgdLuPSzN7JqSYxBuCIRpmly9fl38NZkKy2YlDJnMLVq6QZ++IWb1LlWVA0fv7eYdFv0PISUkg9en1MhiRQKRUepfiW1lCTK8Wtu6XRRqh7ZRnzMVpFMSVIOEofU7IYYa8iFjHZ/wDov2aVdKV3HMLfEt6WHiHLGMmifXQ6pOpmkYfO6saFFh0hwHoQAubnzRclX6PofoJx01kn7NigNWwEXtJ2rfHpdaWLJTTFiCzA2uH73TLZf4fJyNtcT64FsuuowN8Zf30KAuSmZLEkwN1Jwbj0fDchC3TBoPNjK45sr2hMa9oXGCGMf0ZLsmJLmrt4RkO1grLc88YNypydqf9Pr1V+NaP1BxOWiqrfy0xeLkVChbKzOf5cS2t5yPc9K8texAe3vWG2jUCgUih2Cj6YuQE9FT9dsXLuV1cuKf7d/7+WPQ5XgDtu3tjHr3UVF17GjM+W/bxco03JICaZJpi3NVw66iitO/yMvPfYepqliTCoUQSxfuIbH7n4lcJ1pmGzf1s6/bnq2wlJ1T6a9OocZb83PRe9wYxombdvTPHTnC10gmUJRSNL7phMxRqFQVB/Vr6ROjBpoknvcdWPlcDUgJWRc1ll+JTVYytpyeiV2JsbKDm7gV+z5SJRjt6tRyueOkfR8VfqWE+NNDOTvHe5+G7Sds75Ugyjpij6g+z6Owtw1kaUlDC2uub3Uk5xnv6c4tly6tS/nI3TX2FXGe4f0h/kuKGCtk1jhz3scBc2fhuZPQfPxUDcm5l5mG5q4z7XnmLrR40+pyDZofxdan4P2N6D9VSuXcmaRL+JJGQyVqgEhoH6v6DL1e5TYR5Ju634uWGPlZI8aTzPzSpBJUTSOoV7Nfbr6xCkUilJImu+zlFf7TDobXwjLG1hRHC89+l7wCtP0PGe1trQzc+oCfnPx3fz6orsxYowHFIodkSkPTkWLyN9uGiYvPPSOGrPKwIuPvIsec66n/HdqBSVSKMLZZa+R+bFBysKPzfhJY7pGwB0cIWVNfhSVpfpnaRO/dZWQI7S7IBpBNMcUkjWUC7lGkVvtMLYhOH06qadVV5PtSHh4QbzC0gCjkh61xRIR5jzn6almgDuEUcFbjkjSPq5JfGn/jt2mHOEObdkKIi04H9c1lMibMwVaX9fPIcQq6PWhrjoGkO/TEfLqAxLIkpQEbeM/F0IneV5eJxqC61zn9iMS9o8dANkOba8F3I/aITMDMq7IF4n6Yj1ofcopYeeQGgENk4B634o6qN8X6kaXtn89JAx9gRxj8t+NlUT3SWm1k3pZUigUih2CvQ/dNdbjZ+Cwvgwe2T+yTBRj94i/Xwkh2Hn8sKLr2NGZ/YEvtYftPR2EE0r3tSen8chdL3ayZApF7bFhzZbYKeJMOsv2ra2VEagbs2Xj9lhjme1b20JzACsUlaTvwF4c/en9rPEhQEktBOx50FjG7K6eZxSKaqX6ldRAsonkuNCNOwBCQN2uUQVA6w3awEoJVKYyNYZ0haf3P0ELYU8wCzADwsya26z86q2TrRyUbW+DsbaLJ6UNkinvHBKUk9We18wZGh3Fnf/TDfttSQjf96BzJUBU8mUx4e0t572cNJ9fma7FoLdrR3nqrkJrthXKzjUYcG7rxloKXIfUznjOe1C/rds5/13W4fGmDpRTK29OcVFPsuvItMIft38I25+zx8V3rLDUkbTn9x8aEtydm1xaOX/b3rTqaJ0C6Zm1E/HCj7EO2qbaxzLZymscFIY7M99OFRLSr7Pz7PzK2M8Pg4hst7pxJXogVxBtMOgDbcMH2wBCHwj6kDLsux60OKOOBki5FP/SIH58kajIQQqFQrFjsO8Ru7LTLkMivQZP/8YxkZ5ucey6906M3XNEaB2arnHw8XsyaHi/ouvY0TGzRqhHVxhSwiN3vajCfisUPvoN6h17CaXqdHr0aqqMQN2YoaP6x95fBg7tkzjqh0LR2Rx83J7IEMMKaZgcePT4CkukUCg6Qm3MJAqdWK8wTVlvAaCPjPamrtuztJhgHSJOsdkRxWcN4fTXUMWI473pC0FkrIG2lyC7OJ9f3FwL7W9BZlbXKaqFiVdBVoY2i/X472qyyUJpdsf+WxS+/uHJwe4oSIFMBc9XkNdv0DXp5DrWk0bjKPW2GbO9lCB8Rhz1E21Fml/pKixlr9sbE0DrAamxFLaHsMan1ChL+e1gLCUy77wzZhlL4w8vKVqvBIWEpaBue8Wuux1rXFxthaXOzA3f1GwkchyG/JgqJaQ/gPQ7dj7vNMhWyC60xmR3jvBaIP0xtL8J5hqsY2mD7BJoe9lSxDtIaS2PU4xml+W/Nx5gKas92OdYHxVjKFdFmC3QNsXqS0j7EKR1ztqmuPJCl0DDoUDYBJkOTUd5FyW5JkST1yBFoVAoFN0WTdO4+q9fp//g3p7XDkehfMIXD+K0848sqQ4hBP/3py/To1djgaJa0wUDhvTh29ecUVIdOzo77zEib6jegff5dSs3sWF1GZ5HFIpuxHGnH4AZ4d2r6RrHfv4A6hvKaFy9g3LSWYdGelJrmuCUcw+voEQKRThSSu753ROR0z8P3DqFdFuAs5hCoagKakNJjXQpOvxeZJq9Tk3aAWDMB9ooVCba5yozvcLKTncI26hl3QhpBByab4EEhEspJtPQ/o69QvoKAtkFVRQe3N12/iEkYZuKKjcqEUEKyyDP1y46DiktxVl6tqWQyq4E2dWW9kEKVNcyoYEW5/1aRlKutAbCL4urLVM7Wf8Tn78eJQomoxWnQlDgKZn52FoWeBwmpD/0lje3gbGw8FhzqQaWgbHRVT7hBFiQJ26xxHnkAohGK+R02LiYmW15DAdu25bQIEuAscQ6J7l9O2OcBAxon9oBT/suxlhteT8DhedMQvo92wgKLEOpBPnaZEv+u6iHxqMgtTvQAKSAJqg/ABr2raARXIm0vUG4R7K0POpLRdOh6Xg7/3UPrHPVAKldoOlky5jEjTMWReE3SFFUCFHDH4VCUcsMHzOQ2yb/iG9e/XkmTBrDqF2HcNhJE7n2nxfxg99+CU0rfTpn1K5DufmpKzj1y4fT2NwAQM8+PTj9G8fypycuY+DQviXXsSNz2vlHFT3/EuVFr1DsiIwcN4RPnXdE4COOpms0NTdw1ndOrLxg3ZCdJwznMxccFbhO0zVGjhvCaRccXWGpFIpg5s9YxvIFayNvty1bWpn6wszKCaXIE5QnvBY+iopSI+Zl9mRxLjSn9C6XZvUrvSqBNCGz0Poe5uUpWy1PoXKEs0yM8P3v7rhfJoOU8064TpfSI7uU2BCe2QWQ6or8GbYXpWeA1vMW4Wiu7wkVfYFK4CrC3GR/8fdZ57d9Lsy2ytvHmG2WQYPc4pOnARr2B71vZeWRdjh4Ad4+7vy25ZMS6Fc5uZxc6lHewQCZpVA/iuQGFp2srJQSK3qB87sNjBVRG1gRF8xtoPW0FmUX420HP8LyEtbt9kjqmVlOD065mVgPXtkW0yzCuufpASksZIN9LuMMAiRkFuT35zlvmv09A8ZyywO92sksJLrtTet+U7criQcvd3oGMwttrwLbXdd8BjIfWNFAGvcrXvZKYWzCMuaLIg3Ztd5w3MWgaaCNs8Kgx5ZtgroJVuSUIEQvb5h+hUKhUOwQNPdq5DPnH8Vnzg9WFpSDwSP6cfH/O52LfvF5shmDuvoamSaqAT7xmUm888IsXnhoauJthIARYwfTb1CSyEMKxY7Ft35xOr36NvPQHc/T3pr3itxl4kguveFsho2uVHrD7s83r/48Q0b25/5bprBpnWWwnqrTOfbzB3DhTz9Lcy+VdlNRHWxcm8yhYuNaFaFEoahWqv/tQ9reP1K4Jqt9k87+HJ47KnI7kCB0hbGxMkrqnOIypky5kCbIbfZ+m8urUOkQjoIpwvLZHQIZwNwYWtRTJk7p0hloA8Bcl69XBnhm5hcEKLT9++treeNVM+ZWoo0rbA9WYwPUVVBxJQ0r/Lt08uS6z3O7ta7xyEIPvU6VqcWlrHJwf3cMGUzQK5jfN7s02bViLANG2REQYsYsIUjkeRpFnEz+9ebmZPs1N+WV1MZ6om+K0pfTuWeyOoQ/zHMJmBsTnO+4nUgwQ0Jxa2bysVK2EN5/7d/ZDbWhpDY3EPtAZGyAOkie29h1r2p7DQi5js2V0N4ADXsk3G8XkTQqibGydCV1R5DS8oRHo7BthDXuy5byXocKhUKhULgQQigFdZnRNI3L/3AOjT3qeOre1xNtIyWccdFxKterQhGArmt85fJTOONbx/LBa3Npb00zeveh7DxhRFeL1u0QQvC5rx/DaecfxYKZK8iks+y0yxB69a3gfJNCkYCBQ/skKzesb+cKolAoiqb630CkHXqzQAni4CxrCVi3g2EmPAeygjkYch7dwqXkdEK3lsmyQJqQnW97DzrHVgep0ZAaZyuEK4hhe5bmwsb6sdeZcZ5cQdt1AaY7p6YIV/zklktfWwesr3ZyIoadc7ttK30oxipv6N0CTMgugvpKKomilHvOsrBroRMxE45zuTDOtnyRfRc8ERBKIuG4mDQMuaec28AipA73MSWtw+wEL/LY810sHRn34wxSwMqHXQt05NwFRPqI6o/GRjzPWkFtZywGc7zlQVytGOn4MgBmwnLlwlxnRRgQAtADrglhef037FtZuRTWc2SlnyXLQS3KrFAoFN0QTdM4/0enMfn+t8mk4w1eP/+NYzjxzEMqIJlCUbv06NnIoSdN7NA2pmmybdN26hvraOzR0EmSdT/0lM6ueydITaRQdBFjJgxn5wnDWTR7JdIMnqjt3b+ZAz5R5Qb13RVTUnMRkEP6kaLzqP7ZC8MO2Ro58dqBMMPdmezaZOUqmlvTDtFekBc1JBx5R5ES0tPsHJxupVTGWpZ+vwvyCDheuDHHJ13e01qCkERa/8p7UQMQkvM1EN9xOzlx3XmK5TaQVa7wEXVEt599nFpTRJlOILsypoCEbFRo6E7ATDL2Ov0imXVjeWhNWM7ui34FbEHfdSjHeOJTCDr1IciNmbnqEo7XbmWENjC+DuEac+S6wnoL5NVAJrzHJMEfojvwfMc9ogjQQzxdYw1N3OvjxusaesbQBsSXyZ0z55gD7tNAQYoVJ52IH8920lK2VjMyxPu+oFzCKAblIruS6PuntLy7VW4khUKhUChqjl59e/Dprx4Z8Gohrfcp02TY6AHc8PD3+frPP6e8qBWKMpJuy/CvPzzNuftdyZl7/h+fG3cp/3f6H3jvpZA0OwqFoqYQQvCt/3c6QojQ++e3fnE6qbquiriqUCjiqAEldRJFg3qAB0Bk8Z4LzfVxL6/UoBym5MFeHqUUSYi5BszVxa/vDGQS7yvXxD+AlkB5J5qLlahE3EqyJO3lVrT5+6DjeVdJQ4kiEAmtaivupZQk1HSJ4ag7imwj8XWs+bybZdryDGx7FdpehPapVrjbsihhOrqPNIWepUHjZ6nYY1/ouBilMA26phxc47reN7oOAN0VoivnSS0iPpT3utX6WIY3Uec2NYboxxQJqZ1D1rVTOA65lfR6zL7dCOz42NVPklD/mhMu2iB3DgoU1G7DIjvojvveFlqe6jdCSmxwUGllcDZBnWWMQqNQKBQKhaKiXPCT0zjujIMA0DRhPYObpvXuIyUrF6zh+ov/xow353WxpApF9yHdluHKL/2Ze377PzauyeejnfHWPK780p955r5kYfgVCkV1s/ehu3LtfRez067e9KaDR/bjJ7edzzGfO6CLJFMoFEmo/nDfek8w7clPJ39lUIhJBVaewuVYE/Cuc+WETHcUo3qlvBl97eUnJ1cJZJckK6MPLa2ejqA15fW6Be3gwv3TWImlZApTAonk3l+dQjGe7/7rVnOF76/y0Eoi4dAoKuxJrfW085dH5fGtsDGDmVSJKyHTkNf1mS3Q/iaWctgp0gbpdaANhfp9S4scIHraCvQohZSWP19aDzzex557DeQNS0o1TEgyLrpx0geIgPHENa672yAXgSRMBAHGWqjbzfqt94Os4/3qu27d6P2j99tRGiZB25tWdIW8cFj3qWFQNx70wdD+Nt52tMvU723JHkTaVtp7znPQORfWdSxjDOK0hHm7uxpzPQVGUB50yxBEHwhSt8rGXWaabfginL4YQq5/Vrl1smi02zvqGVIA9RUSyKkyQR8TjV1gHKVQKBQKhaIc6Cmdy248l9O/eSzXXfw3Fs0qjIC1dsVGfnLmTfz+f5ezy0QVXlehKJVH//IiH709vyAEsGlYv2/64b848Pg96T+4klHfFApFZ7DP4btx25QfM2/6Utau2ETfgT0ZP2kMWjWnI1MoFEAtKKkdr0AhvP+d70pRnaduJ8h+nP/tP2eOUkMbVjmZopRM5Wi/yPy8TpntIcuzdo7fVhD1oA+xJoDLTWA7gGcCXG639QoahRPnjnKqNVq51VkIE2QRdRaEGQar//UNV2LIjO1J67TJMOt/pRG9kpXTKixbalS8YUbd6MrI4iDcIXHDDE+csWcbMMAO0/8u3hD9TjnAXAXZBVA3rni56neC9Hr7moJCJad9XWkj7EUipM/iVQqLBJ6qcXRoXPQZiISN6x5P1q3xMrjHzrpdIDu3UDb/mFW/S/x+O4JohMYjITPfymWMaV/3u0JqhFW/PhAaj4XsYjDXWh4nen/LyzpKcaytST5upUZD5uOYMjUySShbXQZBbq9bp8+Tb3thJLQ9qsv/j7sHCWHdW6uZVD/IbPIuC7zuelMWPM8adZbRXNCzhj7MTl0SgRZilKHoZIox1KsGalFmhUIRRCadZcZb82jZ3MqIsYPYeY+RXS2SogRSdXqgghpAmhLDMLnv90/y8799s8KSKRSls3DWch6543neeOoDMmmDcXuN5LSvfYIjT5tUtjD2hmEydfIMXn9yGm3b04zefRgnnn0Yg4Z7n5WllDz+15dCc9QCmFLy7L/e4KzvnVywbu2Kjbz6+Hts3bSdITsN4MjTJtGjZyfMGSoUirIhhGDXvUex696juloUhYMdMaamqDV5uwE1oKS2HwDCJkb9Hm87MoYvzLR/0tU5R9mPQN+3MjJ1yGOwGOqJzz0bEKY1uwyys8h7KUrrtz4GUruX1p9ykXND9pFb7gqJ6uRAFrgUDPjaUK98P5ftrlDAPhylXqCsIQjCle3ZxZCdjXUCnTb5GPSxkNqlsseuJfX0rnAIYK03pMZaCtzA9QNAr/CklXQrbcPayFF22tbJ5vp4A5PsIiuUc7FegzndnCNTiGGE5lbuEnEITv/2K9bLjP/acEInR40nUnpDMScKy+26VrPLk9WRXW4pj8uFaUD6DWCb67y3gzED2Ax1e1qLtEao3x3YPfm+ZR/vuQwbq4SwlNTZpeF9MrULaF2VbqGjpIAMkWHjhTNu2Z7UkZEZRF6hGpa+I3T/VYrhGK6FGKbk+kZb6XUFPmt8DPpoSI33Xesb4/dnhhjdKRQKhaJbIqXkibtf5p7r/8eWjfnnlF323onv/vYcdt1HTcDWIi8+/A6armEawe/ZpmHy5jPTadnaSnOvCkfuUihK4M1nP+RXF9wB0lIkA8x6ZwEfvT2fd16YyQ9uPLdkRfWG1Zu58qybWDRrBbquYZqS1554n3/+/kkuvuaLfOr8o3Nl21szrF0R/YwtgMWzV3qWGYbJHT9/kMf/9hIAmq5hZAxuvfJ+Lrrmi5x09mElHYNCoVAoFAov1R/vwDSTT4zu6BgLg70B/cvMdYXbdhSz1QoXa24LLxPXbuVo19Tw+DK6r4yxCrIzyIfWdk3QG4sgO6c0meTmhMflViQN9spRcG4EiC4IP2Ru8vahoP7U4XZst8Mwu8hN5Dsv6jL/35hvfSqJPiheOSrqLa/wSlO3O9RP9Hn01lmKtIYDilfqFouuJ+sDQkDKbl9zA/EeXun4EMxJCOu/bu9+sBSmcSIJQclK6iTnyY1sS7aNmSCqRBjGomR1ZBcVX0cQjoI6UKalkClhLE4F9Mkwb3nZQqixkxDA5tqxotSHE9uRdTuaitAsw5bYfTrpMlyK+qBrKXduqzydg9xiyappweOCs5wSFcKRzxqOUZYLc0OCe+mWcMMxhUKhUHQ7Hrz5OW7+8X88CmqABTOWccVnf8eCj5Z1kWSKUtiyYRtazD1fSknL5jK8CykUFWLLhm38+ht/wTTMnIIawLS9mJ/79xtMvv+tkuqQUvLzc29hyZxVgKVMllJimhJpSm7+8X94+7npufJ19bqV/z0CoQkam7wR8v7y/x7i8b++iLT3a2Ss5/n21jR/uPReXv3f+yUdh0KhUCgUCi/Vr6RO5LWjFNhAsNe0m9xkcgkTnMYGaHsZ0q9A5n1Ivw5tz1tKxq5AH4HlbR/UB4S1LuXyLJUyXgltLPJ6JXaUYvqjXB2u6MstSxDCt9xkAzzJPIoJ56NR9HAiZT7UcKgcC7omhKwQWKHJNdd/rWvHHCGs0MONR0PjMdb/puOgfje6PBesc76cj3PeuuJ8OeNhrHIxiddxF2Im7PeGW3nueLLa16a7PXJjpft6dbePhqe/d9ZjgrmFUAW1g7HQMlQrFeEct3M8PuVqdr6tnLTPk5ayPk7fNdeD3FS6HJUgtTN5D2k/AkRv0Aa7liVRvruV+YTfp5xrLVvl11TiZ6ASjiPRs8bi4GeNyOc3hUKhUOwobNmwjX9c93jgOtOUZNIGd1/7aIWlUpSDwSP7Y8Q849bVp+gzICK1jUJRZTz3nzfJtGdDX7+FJnjkzudLqmPaq7OZP31paBQCTRP850/P5H7rKZ2DTtgLTQ9/pzWyJoeesk/u96a1W3n0rhfDj0PA33/zGLJWjJgVik5k8/ptfPDqbGa8OZf21hLm0RUKxQ5P9Yf71uqqXodQNWgDwFweXUZKEEU2u7EOMu8FrMhCdqaVT7hu5+L2XSyiDhoOhvR7dh5WZxJXgugJ9ZPwhB6V28JzVOcLgbHGq9zukExDgaUJyrm80uTamLKQy89eSWTAceRCIvs8UXPf4x7WG/Dk45Sb8IQ+D8S08tHqFcqnbq7FOg77ZUaz/+cUMQJE1pJd9KuMTH6EAFEF4d8Md790nSfnv3TOownSvha1/kCcd3x9ice3PZl3sHQUpZVUACW5Thy2JCy3If81NRCyW/CkDgD7eO36hcuDNjUaMtOJbb/UmISyJCAsZL0HCXI9MKjj+zeckM3OhIS/fbW8R6q5Or/e42ltl0NaXrG1kA9Ya4KGgyD9vh2JwNXXtP5Qv2/+nEgT5Aai+6OwcsTr/fD0scCizrlbSlFtVilEPbEREYQgNEVAEhI/a6zO5zvX+oOx0lV/kFx9qXi0DEXtGgnUoswKhSLHy4+9h5ENV2SahsnU5z9i49ot9BvUu4KSKUrl2NMP4m/XPoYMef7SdI1jTj+QBp93p0LRVSycuZyP312Ipmvse8TuDBlVGI1p9nuLIl8rpClZMGMZRtZATxX3nP3Ws9PRU1ro2GiakplTF7Bt83Z69rEiz33xkhN5e/KMQNk0XWP07sPY/xN75Ja9/tQ0ZIQRiZSwbN5qlsxeyejxCSI7djFSSma9s4ApD7zF5nVbGTisH8efdSi7TNyp0+oDSg7rrqhutm5q4fafPcCLD03NXY89ejXy2W8cy9mXnYoeYRii2BGpwZzUiedsFeWi+pXUfi8Tv6dgotybVYDMWJOP5irAsBSo+k7lDResmT4HIcfLFayLy7nAGimKzPTo9cZcK8+iVuGbkdYD6ve3vOHkemuZ6AupcdY6D0lD9ZYQ0jeVchlWuD2OnUHZaQf3g7274cLaDTAMK7xyxfBfX8Kn6/E/eCZQvmk9vBOnST2kZSfnAnaTbQtXbgnnGEXXeHcDmFutULFys72gyerv+pDKy5LL26r5jBec9c750kC0AL0sgxrRbCtxQvpLakyJypgE9wYJmHa/SuqxXDLCpzyW+eVgK4ZdsguZ0NnVtY02AMSi/P485WzFs+YyANCGAx9Fl0crTJ0AVjhyY3nesEP0s/KiazGeH/6Q/6WWK2Cz61iCxinnvwxYHlCulnIBa32gbpIVoUJuAQTog60xQrgnO+08yQKQ7nsO5O9dEkx3G7jPnft8ue9hZcjl3JkIPeH7Rin32iTjifCW04dDZra9zBexwxkTKm0IqFAoFIouY8PqzVYe1KgIJRI2rlFK6lqj/5A+fOWHn+LuXz9WsE7TNXr17cE5l57SBZIpFF7WLNvAdRf9lZlvuwzMBRx+6n784MYv09w7/06pp7S8TXQIQghETPjtKDLtyd7ZM+l8uQkHjOVHt13ADd/5B5n2TM6r2siajBk/nF/+82KPQm3b5laEpiFDvLUdWrZWfzj+dHuG6771V15/cpqdv9tE0zQevesFTjr7ML5zwzllUybOfHs+D978HFMnT8fImOy8xwg+841jOf6sQ9AqPUes6FRaW9r44Wd+z5K5qzxRDbZvbeNfv3+SVUvWc/lN5ylDBYVC0SFqQEndSqB3F9hewbrlDVTNg5+5DTLvAi6Fu2yxvZNGgb5beeTPrrHPiZZXgrg9PxFYk9JFKGPMjSRS3BoLQRtnfXeH/wyjHMdtroPMB3gmyeVayKyB1B52SHCnPr/SOkyuhOUCcfqrvx1w9V0DdPe5SWGdX9fDW24bx+NPVlhBjSWT/00jdxxhIV9tr8swzK3W8TsGJ0m9ZUtqkw4iXZ6VgdjrjA1W/upKkl0Chi+XKS2Q/RCMwVC/T+BmnYZsIq/QcuFc/07/kRIMYUWiFsIyLGl/C68Xva0U04ZBamxpchkb48sIyIXRr2sAw1EeR3iVljpmuc9LXog8zhieI+kLnWtsMNcnkGFd/nd2ZvRxOesyH0P9BG89mWl4x94WMJdCaoKlrA4jab5xWRdfJpBGS/Eq8PVFX9sKQc5bOlwIPPfvaic3RgjLyAGsKCvpVVC3X94jXLrCgmsi3/cKzpEzOe7sz3+fcp7FpP081qfzjq0s9CRRhIJSIjkk2lZ6y4mUFS3EXOFa5hiVpICUKz+4QqFQKLo7/Qb1Dg1p66bvwF4VkEZRbs787kn07t+Tf/7uCdavsgyPhRAccMwefOtXX2DwyP5dLKFiR2frxhYu//QNrF+92btCwhtPfcD6lZu44bHLcl7Rkz6xBy8+/E7o/iwv7N1KUliO22ukJ991EH0H9aJ3f6/B9JGfmsR+R45nyoNvs3DmcuobUhxy0t7se+TuBfKMGDsoduwVQjBkp0Jv8mrj9p89wBtPfwCQO2/O/2f+9ToDh/fj3Cs+VXI9zz/wFjd8+240TeT2v3DWcm783j94/6VZXHHr+UpR3Y144u6XWTx7ZWDIeymt/nDqeUeyx4HjukA6hUJRq1S/ktpcnffOC1WCxE0wdyHStHI3Fyh4bXmNJSB6BXuodZiWvGIUwpX6xWBsSlZO+vImOxPXHo9gW8FZan5ssLzs/Apqa4X1LzsTRE/LswxANII20FbihPWZOtBKUTya5HOgEtEOLuWLtjOY87zlPNtq3vIVxVFMuD3tYhRa0rkm3efY6ZcSZHte6az1BNGX6JyvjZZ3aMWICz9uI5OGYi4T5vYABbULuQayi63wzWWpr8WKTiAlaL2tdioYh1uD+2zg9w2A7e2tNUPjkVY+e2MFlkFET0iNsq6/kg1Y/EpF9/7c/dI22jEdr1JHkRkQ3aBcxlCxCmG3fD1AbI82+BECcCm7nNzBUcjWvOLW3BxfHsDc5Nq+vVBBba2w/mVn2WNv35Cd+Y2l/J68zmK7Hc1tYG6w1mt9LEVoZHsswROiN3AcDvO09hNilFONmBtcY4S/zxjW80j9kSDq8srnqHOEsJXZAL3JKXdDr3MNUlXuzZUaDJkV8eUoQSEc+Kzh7+N13vzgRivIlcHPugBkIf1B5Q2RFOTz2dcatSizQhFMJp3lhQff5sm/v8zKRWvp1beZ4754CKd89ahum7f3yNMmcfvPH8DIhoeE3ufw3eg/pNqNwxRhfPLcwznxS4cy94PFtLa0M3LcEAYN79fVYikUAPzv7pdZt2oT0iwcg0zD5ON3F/LG0x9wxKcmAXDUaZP42zWPsHn9tkAlr2mYnH7xCSXJ9InPH8idV/+X9tZ04Oux0ASnXfCJQO/gnn168JmvfSK2joNOmEjv/j3ZsmGrHXnNmz5LpDQOPG5PBgztW/RxVIJNa7fwzD9fC2w/ACQ8dOtkzvj2iTT2KD61wPpVm/j9d/6OlBLDyNfl1PviQ1PZ7+gJnHj2YUXXoagunvzHK5E52fWUxjP/fF0pqRV5ZA2G+641ebsBNTB7UU+sQsz6UglhOo65Div0ZUTnNhaVqfO3YU0oh+wrN2FfRIh0kfShxW334Mrnq+mWJ5CWsr9r3jLFYiwnWtEtLEMAj4jjsbwOQ/pM3URKCjOcsdshNKekvc5cmV+m10VvIyVQQU/iHM65dYe+TnCtCWEbTOiuj/v4fMYSdXsULsvvDOr2Kp+CMBERbedGVtizPTsnvoyxsPR6ZMbKaZt53QorbsyBzDuQecNSFroRjeT6bmwb+QwtRJ0VvrbxcGj8BDQcYIUlLktbm+T7q2O84/qd+26Pl+5rXghf39Uq2P/847edV1hEfBB4DSuS2J+5jylpP3aVK2bsDSrjbw+hu35j5ZZOv2f1PcPpi1Mh8ybROX/7Wv+i7oc5GeoClvu/10hOwOzimAKGbRQCufaMfWawvd5Fe/R17iw3qjwNi9FCIsMEkcDYI4rUBHLKTeE8c4j8Mn0P77hjxKRUAcsQSaFQKHYw2lvTXPmFP3Lj9/7BnGmL2bKhheUL1nDP9Y9z0VH/jxULuufY2HdgL770/U8GrtM0ga5rfPUnn6mwVIpyo+sa4yftzH5HjlcKakVV8ey/Xg9XcAKaLpjywFu53w1N9Vzzn+/Qu1+zZ2pL0620YBdd80UmHT0hZG/J6NGzkf+77QKEpuXCdjsIIdjzoHGcftHxJdVRV5/i+787x1JO+49fSjBMTv/WcSXVUQnee+nj0NzdDq0t7cyaOj+yTBxP3/tapMJSaIJH73i+pDoU1cW6FZsi1xtZk1VL1kWWUSgUCj/Vr6T2ewUHlqlSBTWA3EDsZKhsoaQcyPkdxSuKpKQoJbU2LFm51Bjv785ut7iwtkjb+86F1hPqDy30lhZ9oO5AS0lWEkvjj01Kb65VY0N4WbD3t6WLLHn8hiBlaDfhe1jWekP9IZbnmadcP6g/CHTf8s5GNNv//cpA8ssBRIU9BiO9zR1KHEuc6A8y4KFSbreU1e6+a8YousB1DkNCcJttljdvWfNCu1IfFMghCtelK5VH1+8pHVJGpi1vZdptOcNu185xuJTUWoIxzD3+aQk9Rt3l/ONqATLB+Oy0Q5CRg6OwXmDfR/27b4H0VOs8Be7a5xUcKYbPACjwPlr94dwAK/JBHIZdRmYSPjNk8uUTpfBIEGo/KdKwxhtZRsW3XJfsmgrqdx3BWEUu3DwU3k/kUp9cWwt2EbzfkDFe2lFKZFpZ/SoUim7FP379GDPetCJOuRUm0pRsXr+NX51/e+QEeS1z9mWn8LWffY6mng2e5cN3HsyvH/weu+1bpuhJioqxYfVmHvjT0/zxB/dw19UPMndanIGhQtE1bNmwLXK9aUg2rvZGltt5wgjueuNqvn3tmUz6xB7sdcgufPbCY7jz1as4LYEXcxIOOXFvbnziCg4/dd+cx/SQnfrztZ9/jmv+8x3qG0uPQLhm6frQV3YhBLf++P6quu+k2zOsXrqezevz7xPuvNzR25Y2BzP/wyWYEcYM0pQsnLm8qs6XojR69o12oNJ0TaUiUSgUHab6w30HPhn4QyZWMZUUMXCiOeBcFaNj1DQrt7OxPL8DT35PCfSyFMAVJckJDiijNUP9JHtCt83ykisl/6SHhCHMhVuu9gTt0gX9PSiHa2dhttiT9Lqr3haQ24BKW5VHeJa6z0mX28d0wlhorgO5OWSlrbAylkJqV2uRpoXYvQQpY33XRnYZGPPwhH4WPSG1N2glRg4Q7n1GGcs4wvsPwqW8i8xTXZRwMesEpF+2fzp9TQC693r0GE4EhNZ31+Ufrz2pHxI+Cgh3uRLPR5Su3tNe7pdmd3+XQNrui0FhpMyAdvddL845cfp7QWQWV0hwuQyohYngJO3iKPYT3KuEyCuIhUjY7GW4VsxtYCwA0/GOE/lc9aKx9P1D/DVVClKCuSimzGbrvqc1d3Tnvp+mdR0YS8gZq4ieoI9ROawVCkXN09bSzpN/fznUm880TBbOXM7Mt+ez58G7VFi6zkcIwRnfPoFPnX807788i5YtrQzfeRATDhiLqGZDfUUgD982mbuuehBTSjTNar8H//wsh5y8Dz+640IaezTE7EGhqBwDh/dj6ZyVodNBmq4xOCAvc3OvJj51/tF86vyjO0223fYdzU/uuBDTNDGyJnX15ZvaNk2T/97yXPh6w2TRrOVMf30Oex++e9nqLYZtm7dz3w1P8PS9r7B9q2V0P+GAsZx9+amM22tk/A4E7LzHiJJkSNXpCE1Eet3rddXvH6dIzolnHcoDNz+LaYQ/mx17xsEVlkqhUNQ6NXCnCJpodmNPmlbrS5rWh/gJ20Y6J99wwAR9Qb7TDqAPJ59X2O+lJiwltqe6GAWnJydokYgEykvRN2Jdg53ftFwKarDaM4aC406q2O6Cfh7kTVyKHEJg5ax2kV0GxgzA8NVhWuGmM6WFIOo4bTGKTedchHhxdhbCsUaMOv8lhiA3V8WXMVz5XM0twV6wnv8OLs/zzFwwPqYgN7HcZocVLzHUbkfRGsiHzg7wLk0S1SMJcfczocXosIO8jn3I1fn9uet0j9emOzRmwlBMbu96LYnhSEyOxMTnMqKcsSxkhT9ffMD90LkHub1dg+qWAFGhxauJJJ7j9n3ZTPAIKCX5yBeNydpMJIy8Eoa5GTJvg7nWLYiVIiP9VkyY9wRo/b2/w64pUUKOT3M9ie7rxgJXfQkNc3RX6HkpITMdjLl4oinIbZCdAdlK3zu7KVHpFqr9o1DUOIvnrKRte/TztqYLZk1dEFmm1mnsUc+hJ+/D8V88hD0OHKcU1DXIiw+9ze0/vR/DMJGmxMiauVC8bz/7Ib//zt+7WEKFwsspXz4icr1pmJx0TtfmGW7d1s7WjS0Y2fJFXVq1eD1rl0dHhtJTGtNenl22OouhZct2Ljv1eh65Y0pOQQ0w+72F/Oysm1gwYym77ju6ICy6g6ZrHHT8Xgwe2T9wfVIOPGFitIJa1zjohInqvtWNOO3rx9C7X8/AvqXpGnsePI4DjtuzCyRTVC1O+oRa+ygqSg0oqZ2XUpfyIEcZFGadjUhwwxfNnXAMARPypXo3ZT4Mnsx3JsLMOWCahetCRQxZJ+0wsZkZdh7c6bZ3Z5D8CbqwCFDaSQnmRsh8ZNfxoaW0kQmVxZH4w+UIcjkowxQI0u/5GFK+GkLkBCm8/HKGtW1uW99LhPFxdJ3mwsK+1akkravCuVf1nQhWALvaIInhRhRh4ZM9uMPNJlAG5rDDT5lpMBf7yrj7kbSuybLivq6CyLhEccsjAvq8DzMLmdmQfgXSL0H6Da8iv0AUd4539/Iw5X4HMbeGy+woZd19V2ajFRq5da6xzUzS9zsSej5sjIzq7yKiDnd4upB9FhhWOH3E1x+r+RmjgAT3COkcV7tvhUZBO3gM2xKmXUiV4OkspXXvx6TwWOxIDpmY+0UcWkLlcyJDjBBkwvQBpquctmuCDXwGdeZKkGuDiwIYC63xQKFQKGoUx9s0EgkiSbkaJpPOMu3lWbz2v/dYNGt5V4uj6CBSSu69/vHwVwlT8vKj77B8/urgAgpFF3DS2YczZsKIQEWUEIJDT96H/Y4a3wWSwfsvzeKKT/+W08d8l7MnXM5Zu1/G3b96mNZtpafwkonmnQRmReenCvn3jU+xdO4qTMMrhxN6+0+X38vF136Rnn2aCtpQ0zUGDO3Dd357TslyHPWZ/RkwrG+oMtw0JWd8+8SS61FUD/0H9+GGxy/PeeG7p7EO/eQ+/OKf386F4lcoFIqk1Gi472LKdBEywYuG3GwpR0W5BvGwl/QSFNXmZhIpHMzFoO1cXB1gnYfs9MK8mtm1IPpCah+v0tlcmUAm376khOxMu21c5yS7DkQvSO0LogTPdm2gna9VWG3qeOtJmf+NCbjDeTnt4sufK3HJWAbP87KigSa8x5cLw0uMrC5PsGzCiRZjfsJJ/HKQMC9POfOkJqpvU0wBAZT4YiZ6gIy2HPZGC+gFrCdaser0YbvPG/Pyy4UIuUZaLGW2Vh+8y8QEXYe66zp0itXnyxeEyHYpz/2YWyH7jm9dq2V4YSyB1EFWSPQCsXRfHeW8j7VaMoc2id0eMosVwttlaBDpob3Z9T1CCZ8jiXJM8/UB7PZylJTu818gUMS6FImv4xxh7d61ExAdI8F93vGkzjqPgAHXSO46cB/7pmQimOniTSDlJqz+G1VmA8hWio6AYkQodd2Ya4Aiw98ZSSNBuK+RzaGl8vj6YmgkAQdhpWnRumYCUaFQKEpl9Pjh9Ozbg22bwqNomKZk3yPLO861bW/n5YffYfrrcxBCsPeRu3PUZw4oS67TjiCl5PG7XuDe6x5jy4b8vWX3/Xfmezd+mbF77VRReRTFsWLBGpbNC5gXcgzQ7Uevv1/7KJfffH7F+5lCEURjcwPXP3Ipt115Py8+PDXn+d/QVM+nzj+K8378GbSg99xOZvK/X+eGb/8NzfXeunVjC/f/4SmmTp7BDf+7gqaexRvNDhk1kD4DerJ5fXhObiNrsMeBQSmnKoORNXjy7y8XKKg9ZTIms6Yu4M9TruS/tzzHc/96g+3b2ujVr5lPnnsEn/vWcWXJG9zQVM9vHvo+P/r8H1i/clMu9LemCYQQXHrTeUw4cGzJ9SiqixFjB3PTcz9mzvuLmTNtEXpKZ9LRExg6OqFhu0KhUPioASV1krCOZfAS7izMFqzZ2qhJbgNLAVxqDqIkCswiz5W5KWE5v1elv26i6zfmFSqoHeQmyH4Mde6wIWmij8nn/QdWnsic8YBvO7nVUmDX7RMuYxx1o6F9LgVeeB7ljwaaqw6h5b2p3eXcJmnSDA6RLqWlVJStgG4pyUW5Lu2wcxsgY06pHtO/tGFe+fxGBGHEKmgTYq4Dww51rA8tDP3aEfwe4Z1NEo+4kkPhDgYzxnBAcz94OkrxKIUh9jrHk3oroX3I+Z/LFTwooeBhdcZch87YbGwjp6zz7MIuLyUFY7lpQvY9wvv8djA+Am1igFwUHm8omqsO5zy7z7dfmZjM+hvZBqInwREBgq5991hqBMjl3jbJvcZnlOP+X3CMQUStM2LWh+zLL0dQu9c6ucgdG6x//lD2oceeIbrNncVbgCFFypZQuStbildSy4SexSWNpUEK56BnIPd4spXw8+u0Wdpr1Bh7vmTy41UoFIoqpL6hjs9+8zjuvf7xwMcKTdfY46CxjJtYPmXtrKnz+flZN7F1Ywt6yhpvn73vNe782QP86v7vseu+o8tWVxz/ufFJ7v7VIwXL505bzGWfvI4/PPcTRo8fXjF5FMURGLJeSm+flvDyw1OZ8cYcrv3vDxgzobQ8sYpoFs1azvP3v8mGNZsZMLQvx591GDvtOrSrxao6evbpweV//ioXXn0686cvRdM1xu8/hqbmEiInlcCWDdv4w/fvAQmm7/3ZNCULZyzl/j8+zXlXfrZg2zXL1vPU31/h43cWoNfpHHDsnhz/pcPo2cebcidVp3Pa14/h3uv+hwx4R9d0jUHD+7F/F4Yz3rx+Gy1bog17NV1j6dxVDBrej2/96ot885dfwMiapOpKTA8XwMhdhvKXt/4frzz2HlOfm04mnWXc3qM4+dzDGTC0b9nrU1QHQgh2nzSG3SeN6WpRFApFN6AGlNR15D14A7zugPiJ7C4k5/UbJ1/5HxTCKeZcJewqQaG1HU85N34vRgCZATPGO0+uBrkLCEeh30FFhjTAWBpTx3p7Arw5ulwY6c3k+mqgOI4CYDZwkFOpd12BTLaywL/e3AjZWXi8Zw0NtFGg71wmz+ugfYQcnxBYoWTDlFN1kPJbnLr7VtA17uyr1FzLWyH7Ph5FW3aVLdP+oLlfThKeN39u7c5GusZCiDhXpdSRQDEj3WGCm0k+ptjXrYhRIDqenLKUW5StKI26Dt3esqLJ6rtBhiBB5QHkKmJDvsu1ljI7Z2Xe0dzWjnwRfc0vV1KEy5PWXV+BV7sMKOcsCpErVqaItgHXWFIsTVhGbnH7CDIK8stRxc8YBSTxpHa+NANadJ8HVzukyYfCD0FKy5O6aJKO86WMDW5DjzBKNX7UXfvwRwsIu6a2R59fj4e7g0Z82okaeNSvdoQWPQZXK7Uos0IRwFnfP5mlc1by0sPvoOsahmHmPLVGjB3Mj+/8etnqWrdiIz85/Q+0b7eedR3PQYCtG7bx48/9nrve/iV9B/UuW51hbFq7hXt+81jgOtMwaW/L8PdrHubn93y702VRlMbQ0QNI1elkM/Y926+gdrFp7VZ+/Lnf89d3rinJG1QRjJE1+NOl9/LMva96whP/58an+PSFx3DRb87qEu/gakZKyeKPl7Ng+hJSdToDhvRm1O5dYxwz5T9vYrivIzdCYJqSJ/72Iuf+6DRPuOEXHnyLGy76KxKJaUgQ8O6UGdx7/eNc8+D32X3Szp5dffG7JzP7vUW8/ex0NE3kQmhrmqC5dxNX3Xtxl4YzbuiRJNqcpKk57wglhOgUBXVOpqZ6jj/zEI4/85BOq0OhiCObyfLKo+/y9D2vsGbJevoO7s2JZx/OMV84mMYepToGKopGmpQnvWoFqTV5uwE1MHM1CFhMqNedTDLZmBBp2PvRy6Tcw/JKNJZElxH9KJ/nayehDQVjVnw53W1ZHvfQ5lsvN5PIW83caHnAgnXuwjyvc7hC2MhtJAoBa24EvUglNTMT9h9X+CChxcyXuzzbnO/mFshOo3BD0/IWx4TULgll7iCRyiV3qF738kFQt3uh95s+FrIrCL3GHS9yvYRjMdsCQjI7ZCD7NqSOAM25DpuB9pDyOSGBPsXLVBRupWqQZ3CCsdA0sSIQ6KAFhJKTG8h78wXtS8MT9le0FjH8RijGIL9cK3Fcj7sOcx7bWfI5qTug1DRXJRRkIzAgRq6Itkt6HB3G6e89QdjGCc5+PBEdHK9N95jo9vgsUqaoPpCYkHFatCdQcru8tjvS7m5y11PKNX50IULYxjNB91LnGOx1op3Q43IoMMyIaTMhQK5LLG4B2gDix7E6EKUoB9wGGEHnSYvvv7HPi71AbPbuo+C+JvE+hmfjx0UpvWW0IXbkiwhZ9cHh6xQKhaIG0FM6/3f71zjhS4fxzL2vsnz+GnoP6MmxZxzEUZ89gIamUlPD5Hniby/R3prOKSTcmKakZWsrT/3jFb502allqzOMFx+aGihHTh7D5I2nPmDrxhZ69Sv2vVVRCZp79+DA4/fijac+sBZE3LZNw2Tjmi08/+BbnPrVoysj4A7E3695hGf/+SpAQajkx+96gb4De3HODz/dFaJVJYtmLeea825l6dxVaLqGlBJpSg48fi9+eOfX6dW3smPP4o9XWI/x2YCLyH7u3rJ+G689/i7SlAwdPRChaVz/rb8g3eOpbSeyfUsbV57xB+5+/9cej+pUnc7P/3ERLz/yDk/c/TLL5q6iR68mjjnjIE796lH0H1LpeSAvzb2a2O/oCXzw6uzQkN9G1uSI0/avsGQKRdfRtr2dn33hj0x/fQ6aLjANyaol65j19nweuX0y1z12RVlC3CsUis6hCmZUYxApl8OJa0IZwJ2jt6gJehtzIxiLyedhbQB9JGgjS/dCEH1A9CUyVHFq5/B1HarL7/VWRiQkUoBJn2VegQLN3llguyWV21VOGwBGjJJacz9AJqxDdjSXqWfjIrap77iyxpgfXZe5BORO5L3OiyCncHa1XRKPwlxfdMrW2e0QoBQ1XPsvCPVL/reRKd6Z2phDdLuYVqh5J2+n1mDrLtzH7ZLFoeLWs+3xCoxQZVoWjJk+o46U5XWfchuXONdngJJGBJ0Pp/0S9PvA7aMowXItydgtAaFD5pUQmXzy+hVXSXOSR5br6DkJ2437eJO0h6uMOwKG/xr0KKt9jwylKJhzY0RSXJEkcvc56RvfO4kghaWZtq+nja6FdVYEC70LwzNK7POkR1y/TiSEDLG4jz2pPaAooS+LeuvZy4yIeJLaubRns1wXDzhPnv4esK251jI8lE5qkybQR9lpLHz3BtO3v6AT6KkjSEHt20YIrB3bx58aBekVhfvN0WgZGSoUCkWNI4Rg/2P2YP9j9ujUel559F1rwj/kGUWa8Opj71ZESb1+5UZ0XSNrhj9HSlOycc0WpaSuAbZvtSOfJXj+FQLefOoDpaQuMy1btvPwbZMjm+DBPz/L6ZecqDzugLXLN3D5Kdfl+q5bGfruCzP56ek38vtnfoyeqlxUyMYe9V5lcwjXnn977nuP3k35zHQ+TNOkZXMrk//1Op/91vGedbqusdchu7Bx9Sa2HrILQ0YN4KjPHkiPXuERDjat3cKz/3yNOe8vIlWnc8Dxe3HUZw/slDzzZ192KtNe+TjwFUPTNSYethvj9y99rllKycy35vH2s9PJZrLssvdoDj9tEvUN5T8mhaIU7vzZA3z05lwAK2IC5MaLpXNW8buL/sIvH/h+V4mnUChiqH4lNQtdXqZBM6S2l2WxE5bGSjA+9i1stxSA5gZI7V3iZKgAfThkN4Wsb7YU2eUiifdaMccjnRy1UbPUAozZoO/nksX+H9hufgVIQs8ozVVOboyXSW7w/k5EKWEdGvCE306C1gey68LFk4Do6VLSpH3KkRDM1dYEein4lV9JFUuesKVZOxf4Okjt51N2vRNizOBv1w+BYzoieZ5Yb3tArgEcJfVAMFcGyORDKyVfchGIkLzkufURCursmxQqpbJgLoBMC9TZk36iT75vhdbjvlbrOjDuOFaLmWQKTkPGB2QoGlGoTIuUybnXuMesuoS6ZdfEYaSRgaOAsusDilJex7aH7TksNbsafz6rsGtwu7dIVF/Mjf0xckaudzzugxTajiHFhqAtXdvHjOU5L/GoY/GtM9P29eSfNM5YBjFyO6R2ja63s/AMpQHHI6U1jgCJLq6C+3SSe2iJIVBTu0LWsNN/+K4DfWfQSs072gPPPTr0mHwTUMYiMBb6yrRazz3mJkhNyO/L9N+fA64pIfD2IZ+XdOgDgTuXew+omwSZD7DGd7cxYA+o24/gNCwKhUKhCKK9NR0TSUNaZSpA30G9MUI85HII6DOwZ0XkURTPhtWb+eCVjxPbe0tJxfrZjsT7L84i0x7tjNC6rY3pr83hwBMmVkiq6uWR26awfWtboOGOaZh2OOwPOfSU/bzrTJNpL3/Mm09Oo701zc57jeS4Mw8ti9f1HgfvwiO3Te7QNjkDkRCklLz93HSPktowTO648j88dufzAGiahpE1uPVH/+Li687mpHOPKNjPq4+9y2++fidG1sjZnr7437f52y8e4tqHL2X0+PKGSJ942G785K5vcMMlf6N9e5pUnY6UEiNrsu+Ru3PlX7+JKDFq2cY1m7nqrJuY8/4ia4H9KtN8eRM/v/fb7HPk+JKPQ1G7rFy0lqfufomZb89HT1lGGSedewS9+1f+uWTrphaevffV0Ag0pmEydfIMls9fzYhxQyosnUKhSEINKKltAiftHO/LmLCjYch2a3IxdP1GK4yiHjAham6wJyvbsTy8BoI2pjDcp8yCMdcqg/CKLyXQZnnllMubGiIm9EtQ5ssWl4I0qE7nwNIhy4Paze8h1ABiEMi1IUIIEH3x5IqWrXlluEc4dx3u/LlJ+0kpk7pFKLiNdPQLa4Eiya9sdBTCbk96YSmzy02Hcul6OjzIbdZEvycMeda3jX8fsrCvdJgk27qUBdpge2JfFirbcopKDbQu8Foo5kXD+JhIr0m5GswRlrGE1s8OFw/eNnT1LeF+6NxkL3OUfQH9PzfuOEpO/zG4xyXX9loHjT06jP/4gpa7F/uWyWbAbwTjvw4pVIYHXuz2/UHa9zN9pLXYXB5QNgG59sj98dYDtrJSL1xfIKuzvgNK/dLeh137cefwdsZ1d4GYMa4gGoSzA9/9MKmCGsD4iMg8wOYyMHcCravzCAZcv55j2ZxgF0U0ZCnRO8Bql7o9wBxthdSXaRCNoA+z/peK1mw9w8XK4RrnzG0BCmoXcjXIgSCc0Nrufhl1TflXRTwz5bYx8IyZWl+oPwLMNWButvYhBliRZsqVumaHJ+SeUPXUosyKzqZ1WxvzPliMaUrGTRxFz7494jfagRi710jWLos2bh2xS2UmNz9x+kHc9fMHI8vsffhu9BmgQldWOxtWb87fxt0T6CH3aU3X2HWf0YHrFMXTllDx396WINpQJ7Fp7RZe/O9bbFi1mf5D+/CJMw6m78ASDUCLZPK/X8fMGsGGO1IiUjovPPCWR0m9cc1mfvip37J0rpMWy7LMuPOnD3DFbV/jE6cfVJJMy+aujC8UIGvcM3EuX7zNX656kMfumJI7dMOOaNG+Pc2N37mb5t5NnlDacz9YzLUX3I5pmrlr3dl249ot/Oizv+Nv715LY3N5PfSPPG1/9j9mT156eCqLZ6+gsUc9h586iV33LX38MLIGl59yPcvnr84vtI+pZUsrP/n877nllauLVr4bWYO3n/mQdyZPJ5POsvuknTnmi4fQo1dT/MZVxtxpi3no5md488lpZNNZxu09is9863iOPv2gbpvjfvK/X+f3l9wN5KMsfPjqbP51w//41QPfZ4+DOyn1ZAhz319EJh0fEXX663OUkrorcNKW1RK1Jm83oHaU1JFmp0V2HHNl/LbGskIldfbDQi9WuRyMFcB+oLleFM3V5CbDHe8293+kpYSQY8o4mSgKldGReSoToPWxvM4RoOmFx+HkdiyYQO5gu6V2t7w63R57ORosTyUPTm7NOM8jZ3XCh8KSJsKLeQhZlqCM+8HZyb0m8kYJOc91LaI9KkVQf7eVReYKkGNdfdSZsA9ruyAlYhHyxPZ913CYC+WqgeY7Di1FLtywbOvCc9wBkuSIzc6H+klgOhNz/n7sUsCabuVWH/LXqxYyPjg5yv05A4P6iZ7vv2ZTafYikUT1tyClEhT0Qb2HfVn6jwOXclSC8B93RH8X9p/U7tbvdJFKao9CN6guCVnTjsDvV+KG7CtKMdtpSIL7IiS7nwkCw5QnvR/678umSWT6DgdjHmh7JZCvMwjrw7ZyPkc/IGledWcfCcZhWabQb1ozaOPKsy835rZk5XL3AZIZixjLLAMn64f9vyP3NX8UhTACBkWhW0p8fVi8nAqFYockk87y918+xGN3TCFtK2B0XeOk847i67/8Ik09a+B5tgKM2m0Ybz39QWSZxjLmwI6ivrHOfox2aTzcyhZNo66hhqZzdmD6DLAN30xXVKwIxYVpmpzy1aMqJN2Ow857JEvJU26P1yRIKbnv+se57/rHMU0TXdcwDJM7r7yfs3/4ac7+4adL9ortKNs2t0RO0suswab1W3O/TdPkByf+mlWL3XMPlsxGJstvLryD/kP6sPcRuxct09rlG9FTGka2g/OaEYpqTdcYf8DY3O9Na7fwSERYeCHg7l8+xOGfnpRrk4f+/GyoX4VpmGxcvZkX/vsWn/xK+a/rHr0aOeb0g1i3ciNNPRsZMLRvWfb76mPvehXUPoysyV0/v59f3v/9Du971aK1/OTzv2fF/NXoKWssfPbeV7nrZ/dz5T8u5oDjayeSwSuPvMOvL7gNIcj1yznvLeS6C+/gnSkzuOyWC7qdonr2ewv53cV/Q/ouEiklrS3t/PQLf+Duab+pqEd1Un2iX2aFQlE91MBImUT5WOTDWqKJyjavZ6Axr1BBnUOCMc16+cjVsdUrn/NgJIT90bA8HMtlrSnyCnH3J0eRTa4PxzPxLXz/nbo1vxK5g+0m6qHuANB3AZpseRtBHwt1B4Yowf37jPLua6IwvLq/vG6Fey6aYvNZx/VjARm7n4g6EL3wehlS2NY5r65yI/Cea/f/AO/E3H8Na/Le7d3eRPyxBymqOiKu/zwE9BPNNbkvt3nXh/V32VK8TGUj5tyZjoI4DttTX24kd64DxxEBuI/beTGNa3dB3nOzLqa83T4lK6jD+mnA8fnLBB67rw9qg2OOwx6/CpTUnXA/6zCCfKjsan5Qj+qLUWNCRHv69x24bVg7BBlQBSATKkKT7stcDeY6kEnuL3F92DnuLQHbRhF0voLu411hzNARWglW4vt/u57LzATnytPmRsA+CzaI32eBTAKMkAgTstX2pl7bOVFUFApFzWKaJleffRMP/unpnIIarHCmT/71Rb5z9C9It3ed52A1sejjeKOk6a/PqYAk8OKDb1veSaaZV25CXlltGLz/wkxaNid8NlF0GQOG9aVP/57eNnTmjAImzC++7mzl6dUJjJs4il33G42mB78DOHl8d9p1aIUlg4dufpZ7rn0EI2sgTUk2Y/03sgb3XPsID938bMVl6tEcb7xUX583lHntsXd9CmoXtkH3zVf8sySZ+gzsZduzm4WfKOVTjILfbRTy+hPvWx7RIUgJy+atZvGsFbllbzw1LVJxLoTg7Wc+jJShGDat28Kfvv8Pvjj2u1y4/084Z/dL+d6xv+KdydNL3vfDtz4XW+adKR91eL/ptgw/Ou23rFpkRdA0smbu3LVtT3P1l/7EoplJnHi6nk1rt3Dd1+/ANE1P+zshp6f863Wm/PuNrhKv03j41ufQ9OBrSpqS1m3tPPvP18paZ7otE/msutukMaTq4icQJx62WznFUigUZaQGlNSQbNK+mIn9pJN49r6ltHMkRmGSz98MudyrUaFE/Yq9orEnMKNM/kTU5HsERtraLiqfKoJc6N9EhMmZsvIo1x8K9Z+A+sNAH2MpZgtwJuztcyjsj2ci3u/9uGt+vdDtbXRyIdn13ahMDsegcykiPkDKfgmQEjDC57hzbV1quOQIeZxz7TmH7roDcPq7dK+vgIJM3418n/D3E4FlmJC3nsW0J3si+ztgFGuQUCpOf/f33wTbCffxu8cDJzy0rawOOvbA89FAbmxIPM61JyufLWXCNKSfRsrqM/rw7C5g/DQ3JDiOjNdwyS1fYFskCQ0ehAj5HrWJE1miUopxT+Wu/0776L6+7FP6ezaPU1S77gFJ29NzTbnHBzduj6Wo66kMilrZApl3IfuuFbLf+Aiyb1hhp0MnYWKO2dqx/b8n8W0fYMARN/7Ias+B7MgXdhxBfSvJWF+k0tnzO0kdvmch2W5F+Mm+DcYsMGZaOdOzs0FWu8FAjeA3+Kilj0IBvP3Mh7z7XPiE9bJ5q/nHNQ9XUKLqZdsml8LXUQb7QhS2buvsdDQWq5esi3UNMrOmFUpaUdU8849X2LzW105uRbXzW0p+/JdvcNqFx1RWwB2Iy2++gKaeDQWKak3X6Nm3Bz/403kVl6m9Nc0/r3vMu9B37d93/WMeI6NKkE0QOrd1az4l3UO3PBerKF788YqSjKKO/cLBmJls4NgcSUA551HpB386j6Gj8k4qLZu3J/J8bdmSv1/4w4UXVi/L3n6b1m3h+8f+iqf/8bJn33PeX8hPz7iRyf9+vaT9r1kW5pyVR5oyUqEfxMuPTGXV4nW5ENGe/UmJNGWXGGUUwzP3vJLLQR6E0ASPJFD21xpTn5seaZQhpeSdKTNKrkdKyeT7XuPiw3/OaYO/wWmDvsH3jv0lrz76TkHZXn2bOfGcw9G04PcfTdfY/9g9GblL5Y2QFFipTmrxo6goNaKk7iw6OHkjW0g0CWmucVUh4i36RJBiwl1vBx6+4ialcsqiDiKXxE92CQHmUveCmJ36J2iLwfGw9R23R4Hhr0MGnydhKxxKVi7UEX1sImB9wrBxOZnbsBR9kYVdnpJlJrQvJOzvnu3bQ4t79luSMtskUHmTU1L5Q/9uTdbfO2SUUQ5cirNQJavf21fDUqxFKa0EiP7215jzXHDd2BbWicY5h5gxLVe+2FDXrv0ULgyu2x+VIAj/+CljQiULYRff5K0/si2Cxqyo8SSofEJkKTmxktSZ4B7gRP4oIMFxRbWV6B1fJteezhgQtH9nnbMfp+/EXE+l3ttkK2TfB/we2SaYS8CYG75trGJK5MuJgDHDXy733zFIiWuzyoX1Kg4nakbIecqlouhoJJJyKAQTtp2DzEB2WkAIemmNT8ZHyZ8fFQpFt+Wf1z0aW+bR2yZXQJLqZ9Ruw6zQo0FeeqYJAoaPrYyHa6Y9Gz+GS0lzn9rL37kjIaXkvzc9E7bS6leGketj65ZH50RXlMbo8cP58ws/48SzD6PO9gKub6zjk185kj+/8FOGj+2sSHThfPDKx2zf0lqoeHX9btncyrSXZ1VUrrbt8fM0q5fkPac3rN6cyECulOgPQ0a7Ih4mNchzX2eucyrt5T16et+Jh40dHKhA9SBg6OhBuZ/jJu6ECFGOgaUg26XMeebvvfZR1izbUCCrNCVI+NP3/k7LltaQrePRU5r3HhRiGNDRMPRv/O+9yHNlZM1AJWQ1Mue9RdEh8U3J/A+XdFiRX+2YRvz7pRFjuBGHlJKbL7uHG751Fws/ynvWz31vIb/68s3cE2Bc+Y1fncn4A610YU4fc7rniHGDueK2r5Ukk0Kh6FyqX0ntz61cVpIoBt3KsaQ3FvfDXH1CTwbfIC9NK8d1ZipkX4Hsq5CdaYcPDyNhKM5iSBRiFMoXtjwpEd4iYefdmB+9S3Nhad5HOcWGIO+Z5fPiLVAyJsm76Z6ASDrpXOLDkMc7MEFfSvyA6pIr6TaljAXmPEv5GupRaVrtniNp+3eBl1pUfw87l87yyO1SheXDhXB9TxLW1rdZ4jYvof926r3DRiaVL6Bc0jb0XIO69RGp/HerUHHH65zfpNv6y+U8n32fJJ79IkIJHWhw1FHa4rcNMlQKKuPxuHbl705UvkiMxUSO33IlyCImeDwyp/PLwu5V7jYXEbnL3Qr6kNBfVYPWSGgb5gwLhZUTO7+iY3VE9e+Cch3FHYZ8BZbRWsgzgdxIeIoahUKxo+AOSRpGpj2bSCHR3Tnlq0dhpEOUw1JC1uDkrxxREVmShK0E2L61Mp7dXcHyeau4/Uf/4luH/JRvHvxTbv3hP1k6d2VXi9Uh2lraWTYvxrDVRZLrVVEaw8YM4vt/PI+Hl97EA/P/wMNLbuI7vzuXwSMHdIk8LVu2JzJI2V6CwrEo4pxlpCSTzs+HxOaftffX3KdH0SLlon4EvYeFRpTM141h5D9ZA0zJby64jc2u3NoHn7QPvQf0DH2V1HSNg07YmwHD+uaWnfb1Yy3lcAhSSj5Zxjzz7a1pnr3vtUhlero9w4sPvFl0Hb37NeffjVyGNO6PpmsdVlK3bU9Hniug4lEDiiVVp+ePPyT6ip7q+DmqdiYcODY0bQJY18geB+9SUh3vPDed/931AoCnvzih1P953WPMfmeBZ5vG5gaue+xyrrjta+x5yK4MHtmf3SbtzHd+dy43Pf8z+g7qXZJMCoWic6l+JTUkm8QrZqJP60X0JKIA0ZzfdwJrIQuXQlfrlaB8PZ7wjdK0vF/MeeTyxCJBrgPjfSsvZYi41g0xaIX7ZzE3yKST4a7Jjc5qN8/2rglla0Hhd/fxylbyOXTDMK1zXTSaV9nkeKuFep8B2ub43XryfDYSn7BXgkjS/+Lq9XvdleDd6OAPB9vZCkWZwCJdrnH/SFBeUoakyR0jLjKDU6YAI7pdpARW+X5H1eH+MTBaQe7Bdb4Sle+EfhHpfdvB86v1SVip62E4rq9LGaAMdoxx8F2PBJ/72OvJuZYbvcvitnGXEVp+7HXLIVxlS7munf3FTIyEt2dzyPKA7ePGNXc9siG+v0tJcHqKhEjTHo9i+qK5unBZ3HXlOWc+T3p3pAv3y3aufEyKFGc7s8QICJ1Oa3Qb5ta1uJbl/oQQtL+4yDVFXreaq93MBJPeScooFAoFqLDRQM8+PWKfBdtbKqPMb+xRn2hiO9PeVemHOpeXH3qbbxx4JY/ePplFM5ezeNZyHr/zeb550E954f7ayfHZ0euqsbmUSEeKjpCqS9GrXzN6Kvk7/ZLZK7j/xie499qHefXRd8hmSr/+RiSMzlBpL2+9zjJil7bXsTRN6+N4IQvBwBF9c+VPPf8T0YptIRi282DqG4p/T3r5v1Ojx+iA3NQpXQt9JJfSyv/97L2v5pbV1ae49KavghAFHr+artHcq4lvXnumZ/kxXziYY794CIBnG82u+7u//7InpHipbFi1iXRr9LtZKqWzbH7A+2JCevXpkVdI+7Hb2cx2vP+P2WNkpIJTaIJR44d3eL9dwQEnTLQMBUIM24QmOOD4id1OSf3Zbx0faSAhgFO+enRJdTx+5xT0iH6ipzQev+v5guV19SmOO/NQbnjih/xj+vX8cfKVnHrBJ9S9VaGoAWpDSQ14vclyC/HkwpUdfGEUA/B4vfo/QoBwWQMKf9jNMNw3qAGFiwrkaPZObporoj1fjI+tEI+B+/IpCfIr7PnSYm+ORVqyhbVbqQqMgjqc/eL97j9emTAPeUf7kgf3g1rQsQfJ1RZyHPZvoVn7dR5+hAZa3INbndXHy0FHPRtjFX0BHsiBiiLhWlcK/gcof7uA1ys6iYGFoCRP32Lp6DVsBHl7+xWOAk9+dxFwvYaS8JoCkoV2jykv2ywvU2MWGHOsvNCJwtm6jkMI15gcdC4CCFKImglfnjRf1I6o8xvZviHXR2BR53oKyPfs1KE7J6FHhLLWuc8Kq1zgcSQY4wJlLLFM5PYJvIo841rCclqCa14IvAYAHSVLvKGMSHg/i+pfCbwxknibF1AGjy4pQW4BY559rS/ASrlSBkTSyRT32OmMi2HPMwHnJXfdhN3XQraJrcMtV4I+UNLzjMJCq+GPQoHH2yuy3NBk5bozT//j5cjJcwQ88ZcXKiLLuL1HWYqgCBp7NDBs50GRZWqRZXNXcd3XbscwTM9EuGn//u0372Lxx9VuFGfxznMfhobJLUBK9jlifGUEU3SI1m1t/OJLf+Lr+/+Yv131APdd/xi/POcmzt39B3xQYhjupoTKk0qHDB48on8uJHZO+ev6LU2T3SaNzZU//kuH0ntATwoMjV39/1u/PqskmRJF/JCSC676PD+8/UJ++8QPrdzaMZfenPcWen4f8sl9+c0jlzH+gPzxabrGoafsyx+fv5IR47yGBZqmcfmtF3Dpn7/KmAkjcuX3P3ZPrnvscj55Xvm8qAGaeuXfNaWUSMPIf2xDAtOU9OhV/DtpQ3N9dChroC5hxA83p5x/dGRflqbktG8c1+H9dgVHfvYA6hrDjS6kYXLiOZWJvlJJDjpxb774vZMBPM9MekpDaILLbrmAIaNKm4ueO20xRoQi3MiazPtgcfA6w2TaS7N47r5Xmfrch2UxJlKUiD/SQK18FBUlFV+kivBMiAvfw48A423QxoI2Itn+HO9KZyKxoANKkC6vW5k0LI17cnF94aICObblFSBSJvBCMq2813rC48yJJUjkIRpID5JNPAd0qUBFRrlwtX9YG3pkSZr7uRQrK+dGGna8znK3bFlruQh7yHM8Ft3KktFgbga2BOxfgL5n+QwBOkqcIsMUAU7IIRP9OcpxgwhT8hW5b1kDQ6iuu3T0foWT4w3rPn6NXAhv/xgLFJ6rjryYdNSz3zfmmsvB9Ib0Qa4GeoK+F8Heq0HH4XjQBo0ZIQT2zZnJts1ug5Q//FmStogoX7Dcv50IPkbhKm9g6zBafevD6upIeOmufqDrRyIlbEcxk46ppShqnRzyUedQxtzPkvSvzsodXeK4KE3LGI/1eM6DsRzEMNDGJVSWh2D675lhcrjLOQZiUc8zITJFKao9aICZ4JnJPebWE9vXSnqeUSgU3YELf3kmvzz3z5FlRu46lIamhO9J3Zhlc1dF5yKVsHLhWkzTRNM69z3r4JP3of/QPmxauyUw/6Oma5z0lSNp7NH9xvn/3fV87JPk47dP4ZIbv1IReUph+mtzAM+shfXbeT53zQMJTWP/4/equIyKaKSU/PKcm3j/RevdzzQl2CFnN63bypWfvYE/vnQV4yaOKmr/j9w2OVG5+R8sYfwBSdLElYd1K2KMwaVk7vt55W6qLsUfnruSS0+8lo3rtvqeZCUXXXc2B5+8T0kyDRjWl60bIwxXbXlPOOdw+g3qY4/VAtO0vb/9xyMEmtBIBXjT73PkeG585sesXbaBrRtbGDiiX2RIc03TOPGcIzjxnCMwDKvezvKg7TuwN3scsgsz35iT64s57OM0snDkZw4oug5d15BShh+DlB2KQuAwYtwQvnHNWdzxk3/n2sZBCDj45H054ezDixW7oiz6aBmZiNDkQhPMmjqfw0/bv4JSVYYLrj6DiYfvziO3TWbW1PnoKZ0DT5jI5y4+gV3LkH+9IUL5ny9T+Nz65pPv8+dL/8HaZRtyy/oM7MXXrzmLE7qhwYBC0Z2oARP7mIlAf2hKcwGYCUL7gqUcjtoXAmgjl3c0yqrag2uC1txK+Gl2Ji6z5D2VDRJ5G8owr+4oBUMJ6Du59h2lLBlanvqkbSAg11sTxZGKpLg2dBdtwhN6NxANRCmheNKF9RYQoFCKxF7vUTbpkNrHmrDP5VcXIIZAav8OhCIuN1H9wzEw8U+qd/R8OYslyM12P4nysnN5iAaFtEXgnfh35SwtwL28wuG+iyHr8pCGgGN3rQPyCjJCyvvPS8LxFghXUoeNK65l5rpCBXWObVaKhKBxQviO27/f3PJixs3tCbYTwJqAZSRoi6hlHcDf553j1ZxrRiaoI0hpGrVN57yQJ6eTHm9EUq/UEvJoCc0ax+PQwu63SftXRI7pkghRUpsZMJeBuQjMTeGbm/PJjyv+SZeVIJeVKF8R6UsClcz+ZdK3vqM0JagDcIcd1IbFbxPaTxQKxY7C4Z+exE67+ccLFwIuu/VrlROoimnq2RjtSQ00NNV3uoIaQE/p/PSeb1PXUIee8tYnNMHOe43kvJ9+rtPl6AqmPvdhpLGAaZhMnTy9ghIVz7ZNLXlvVFt5JN15XV3rpGmyfsXGrhZZ4WPmW/N4d8qMwD4pTUk2a/CfG/5X9P5nvxv2juulrqGyBvLtCbyWl3y8glWL1tJi58vuN7g3Ew7cGbJZZCaDzGaQ2Sx9+jczdq+dSpbp7Cs+bV0rESHFe/Ruou9Aa85P0zQmHbuntS4kJLORNTjwxL0LVrW1tPP4HVP4xdl/4mdn/J6rvvgHnr33FdLt8e95ehG5mjvKhAPHReZ2bmysY6fdiw+bvWrR2sj1QgjaWtqL8vD//LdP5Kp/fYfxB+Y91YeMGsDXrzmLn9377aKU313B5PteK7g/u5Gm5Om/v1xBiSrLgSdM5Jr//oCHlvyZBxb8kR/efmFZFNQAR3z2wNiw8Ed8xqv8n/rsB1x95h9Zt3yDZ/nmdVu54Zt38sw/um9bKBTdgRpwA4RCRWPMzd5cAlqS0BIZr3LCn4NR+j1i3flU7RzDDlLa5aW3HFl785DBNfegFBbqOQj/pLNreSKKeFhyHjyiPHykBFHCxHxuPxvBXIjXC64BtJ0JDV8dGDZT2OfXt04fC8YHhCo+tbGEezQnwa1I9uWhzllv+uVqz8vsbt+chbX//Dv72wAstUPQOpfzOsuaUuwGJU+gOIopt4IqSFnl3iRC4Zfr7+7z61YYJj1fWPlY5WK8yqBm28vOrwy1vYMj+4n7+tbtKm3ltl8mbLlEjQyhuTHO7g/+sQ7patIUkA4vK02841lHvG6c8+XqV4Ft7oSzdfUzc0nMvrfaH8cIJWKc61BIbTdhStq4MdXdT2LaQvpf8ooc16OOMTeu+O47UZEXgsbSXD3+MUuGl/fI25ne1klDmyWVwzmWpGNqicemj4bsOrzpI9zijMAyuipYYf+LGuscHM+ruD7v7udJjsvXh00T5Exgs2vhcjB0EBO8BlUyDTImh7K5zD7+StpZ2h7LzrNBwT3aoOOP1P5rti74vpO7pgKitGjDrRQxIhO8DX1A9OugXAqFojtyy+u/4MrP/o4PX53tWd7cu4kr/3ExEw6snHdeNXPkZw/g+f+E5zvWUxpHnX5QxeTZ46BduPmVq/nvn57m+QfepH17mkEj+/PpC4/ltG8c121zLG7bFG9Qtn1LJ0TM6QQaXSFzhRDB3pwOUvLwLc9yye+r30N8R+LFB96MXC9NySuPTCWbyZKq6/j8QH1jncdj1a+AdZZPOraKvOxtGdu3tXHenpchNMFhn5rExjVb+HjqfFc569/mdVv5yWd+y00vXc2YPUcWXe3hnzmA3v2b2bx+m2Xs4T5X9tzXxb89x6Mg3ueoCUx99sPIY5l45O6eRRtXb+aKT/6apXNXWm9AEtav3MjMN+fyxF9e4DeP/5CmnqWkdyoNKSVvPzUt/3oW4CHetr2dt5+exqGnTiqqjq0btiXMzlWcMv7QU/bj0FP2o62lnUw6S8++PTpdsV9uNqzejJGNVtJv29SCYZiR+ZUVhXz668fy+J1TSLdlCowxNF2jR+8mTvzykbllUkpu/eF99vfgfd5x5b855sxDqW+I99JWKBSVpwZGyYBwKrHhWbcRmrM5DE9uSteEvXu5KcnnwA5QCGg6gTk9o+T1ezkJHUScB6wMV9Y668MrjNl3GGvijQMQeCehBdFdLOhcbQRzJoVhWtvB/JhciHZPHVEiBU3U+wwMCtaVarXnhAUNqUMLyhOYLVT2gLcv+jE3gJxNYb5lgPUgS8uN5BLC9d/9Pej4/EoQ/2r7+DwPGbaiJfZ8uR4kzJUg51HordgC5ozCSAMF3oTBoue/u3P0hhQWAkRz9D7LToQBQNh6x1DBrxT1f3faU0hXv0vSF+tjZHK21/CGpXXGzKBr1Blj7faVaSAuH60ojKLRkZecnHFF3PjpPieDE+7cZ8Ec1RaBeaE7SsLrUEjvsshd+tcLAo04cuNYkseLqGON6+vuckGLE/bLxHXZxyPNmDZK0o+SiNQIqf0ojPyhW6ke9AhlQlRbegzzkli9B7R7bHnffuUHeJ8NHAyQM+yIM07ZJN5DWQrTXHSEnvFtKDQ8ns1aPwoU1O7vQgfR37ebIvp35DUV8OwJoNXhyTWf20ajdgypqpygaBS18lEobASw6z6jSOnk8lZiGEw8bNdc/kwF7H/8RJr7NIV66Wm6xunfObmiMo3cZSjf+9NXeXTlbTy58S7u+egGvviDU7qtghrI5VQNXS9l6Y/LFWLTGvuZRQaEGw7Ie/j8v1/HyBooqofFs+Lzn5uGSfv2dFH732Wf0TlPemkYeS97V+5nTRcMHN6vqP0XTdg1FnBtSlPy+v/eY+Zb8zzhm93rjYzBv3/3eMlimVlXFALPCmu56VMavvTQW7H7fO6eVzy/f/vNO1g+f3Xe9hpyirI57y3ktv/7Z/EHUAY2r9vKktkrrHm1EA9xTdeY9mLC9GQB9B3cm6iBVkamKktOY3MDvfo115yCGqD/kD6RntQAvfo1KwV1EQwZNZBf/fdSetjGIJqu5Tyre/fvyW8eu4I+A/LOSfOmLWL5vFWRzw7bNrbwznO1EYWl2+EY09TUp6tP2o5H9Y+UiSZRg0iwnaOECvM4sr6Q65maKzRm6A3Ur8Soc/0Wvk+IvFpcGJymwsnQAhnKjd+bK+BYBHjPuz1BpqXsCVxbOSx0a5nmm8CVMiKcr425INBKsEOYC+221wM+GshF5D05i0DUEaiEcv8OmjyM64tCgOGSS86LEWQTmB3JIRtA2Ll1ZPW3rbeQ7+NCcyvHeiQ8X7bCQGatNgrFtMLJ+pdFIfxKJTvkdc7TOECmcl1nZisY08F4zfWZbi0Pk9V9Lbn7rgg41xB+ft37yx2/kaAvupc52wlCFZO5+tt8dYYcn7NNrkzS+4CrXKJxIah/dqBd9TEJCmmQCvKkDmuLsP4WQ4df6gQwE4w3iq8jTAmS5BoRwj71/nHC/gT2A/f2Wv5jvAnG62BMsyMsSPKhmkOuiYJ7tXNdBdwTPMrGjLc8vk85FUOiB9TtB6kDQN/DyrueOtTqd5HPIElpd5UX3nNaVLsGjA/mBmLDa3vuZb5niLB7SKyxYgQeIxxB3ljC1Ybg63fb4/u72BawLKJ/C3z7S/BM6r9XydVYHt5BxwmwkWADAYVCsSMhpeQ359/Kf//0NJn2bG7yRUrJW09N49Ljfxmd43MH4sE/PEnLxvx4Lj1hZSWjdx/epUr9WpzEL4ZUvWUYFjXZXFdf/YZY2UyWWR6vUpn/7z82e1nLltZc7mNFddCyJdmcSqrIcNz1DXXBfcJBSox0lg2rNhW1/2IZNCJqzrGQqNDTAIZh8vJDU0sywnjpwTfZunFbZJlbrrjH83vetMXx+33o7dz3ZXNX8e7k4PDuYBkkTL7vNbasD5Zj0UfLeO7eV3jh/jfyRiplxgxS0vuQpokRkTYhjoNP3hcIDq1uef7DyF2Hduv70pb1W1mzbD2ZdHB0s+PPPjzSk1rTNU4+76jOEq/bM/Hw3bn349/z3T+exzFfOIRjv3gIl936Nf4+47eWcY+LDauTvfNuTFhOoVBUnupXUuMo/Dpy40uRLARtxIMg+CYXAVnnWh6Bxzutp715kHLS2XcKj5eo1h+0XUJ23gipiRGTmAnOU1Gewi5FVOixuMvhldGjWHPOp18BuA2vp2UQaTwTrkLEW7e465BtWCGBXfIXeJwYWGG0i6UIRYXQk/VF3W47s5VEOU9l/AN5vGzuc+Ty8vIokF1tK6L6iPPd5YHseCPHXlf2f7meeKXlZpDuHEpJFBrul6WW6DbMrSvOWjqHuRXkexR6BW6xlrs9DJ16rS8UtoPTNr5d5TypI86v51rMJlAAuffVq1AO/8epg4STejlZHC/SeuJD6UprvE2874A+muSa9Ywn6+LLY+KJ7BFXh5QUKGXjvJILyseNP+7xuiMvrq56hBbfTzqi/A4aiz33kIA+lTsOA+tYWiyFp/kxlresTwEYpPB0j1luYw53P5Hk75uywbs/IaxrTPMZiYgkY05CRDNog6w0JnH37ySnPHdsPfPjt+Y/dvd4HxI1I1SJ7LoOE+WP3u5KKeLcG2LuIaJHgv2G4TxnOPcuYUV18LehJyf1pgTjYsjzS+izhr9ckmdSv3FfTGh0sAw3FArFDs2M1+fwysNTAyeaTcNk9eJ1PHb7c10gWXWRSWd56KanraHY8Wh0FPqmiTRM5r6/kEUzk9zbyseS2Su48aK7+MzACzm5x1c4b8KlPPiHJ2lvLfE9pIoZu9coS/EhpeX5nzWQ2az13TQRQjBu71FdLWYs6bYMBaF4454npKy4MlIRzZCdBiYq5/fgTcqCGUsSlfvozTlF7b9YzvnRZwoXJui/URhZo6Sx61/XPxZbpnVrGxvXWHOGhmHGKs8Bj8L5ozfiz3M2YzD7Pa+DzcqFa7jokJ/yzQN+zA1fv4PfnHcLZ+18Cdd97TbSbeUdr/sO6k1jTLhxaUp22m1Y0XWccsEn0LT8e4djtOU8S0hTcuZlnyp6/9XMO899yA+O+yVfGPVtvrz7D/ji6G9z50/+lcu97rD7AWP5xBkHByrqNV2j76BefO7bJ1VK7G5JU89GTjn/E1xxx9e5/Pavc8I5R9DQVKjvGTCsX6L9Dah0RAqFQpGY6ldSO57Uml/BGbXNsIST4wmUtcJVmcgWsd/+5MPoBk2MA6JX4X714aBPshTWooc9ST0a9P1BRDyMaJo12Rp6PL5Q09IAcxWY82wv5Q3BD5bCIHjS2H1cggKFR9T5KlCqJ3xw8ygfA5RyhRW5vreHlvLWUYIHcjHe/0km3O0XdYukObhKfRgOOLlJz3dYf6fB8sDOrWvq4HWVTiIE3mNPqCzLEW+Zau22xBzsMsZKPnB9yPn1L3Mw2pIrC/37S7JOuKxKY0NMOz8S3HqEsMcd7LE/7gVLB+GaQIhU7IYoQT3LHAWWFlwerLEoarzVdHu97zrsyPl1lhWkk3DJlzMg8RHYHAGKspwhQYhMORsl38tAR4/DQ6mPH1GGBRtArIiXw9PWEeOWEORyXAuX93HkvbCjY04XINp9zyJhY0rAeYLg60MIrAgyDgnvublrpBexz0xoIEoIcSokidrQ04QBUTU8+/SPi1GRRcJIcs8B73NWknt80jZQhBMQNaFmPgoFPHfvK1Y4SsdTz5T5EKFSYpqSp/76YleL2eXM/3BxoUe5Lxyz0ATvPT+jYjJNf3U23z7kpzx37yu0tVjj+apFa7nryn9zxUnX0tYSZ+Bdm5z6tWPskPSmq69ifTcsA4JTv3ZsV4sZS1PPRpr7uNKHJIwE039on06SSFEMEw7eJfbRfsDwvkWH4E+3JptTWDB9aVH7L5YTzjmC/Y7Zo8NTCVH07NdcUqqCpN6SS2bZ74L+6AWG6f3Y6/sMcBnZJjxet2Jyw6pNXHTIT1nwwWJPGWlKnr/vNa44+deRkSE6SjZjkEmg+N66IdrrPIr+Q/py8W/PzRkL5bDP5aRj9+S4sw4rev/VyrP3vMKVn7uBj9/OR/vavqWVh/78DJcd/yuPoloIweW3X8jnLzmROl+e44lH7M6Nk39K/yFqPK8E4/YexajxwwMNBhx6D+jJ/sftVUGpFDm6PHR3kR9FRamB2Qt7Ytjx9MtNyoeV75UgXLaDmVB54yjGUxGd1D3J6X7I3IQ3pGnQdq2F+zXXgZwObLH2J9LAcpAzsPKzBu3K1ZyOcsT/gfwEstwI5lSQC0CuBbna8kAzp/kUwRA4aeypO8RDKOqiltJ3SurCSvrqcilKOvrEbCadrN3Ysf12FL9SSfQk/mk45TreKKtJ934SntPQXbkn1t0KmLDyMV7kQlgKAumaZJdJ29BRbNeRaDI/UTQFn2w50sn6liw+fBLmZvJh9P11Ob+zYLr6YlTYbrCvN986vTGhwt2ltOnQzbg5X2fsOXPyjycpC55+ru2Ex0Mzh903tfEUepmGjbkx9Qu3QthREDvjp/u2abdf1HgLIH1yxY6LAQpkR2bHEEmLuNZy/aRgRXi9UQY/wvnjuvfE9ZNYL+s4eRKsj+xD7utGBH8g386x8jrro8ZU936jd9el5PpUjwSeu7iGftc1oNkpEXLGEu58yUXcd5xINebS6GcmIQAJxqaO15GvzLWvAHL9o4Tx3dqR/XGNJQj7XAV5qScItSvB++ie5Fx38F6oUCi6HWuXrcfIGLZHp2uF81tKNqze1CWyVRNhoV3dCCEiQ3smpb01zdz3FzFv2qLQMKKZdJZfnfMnsulsQZ3SlMx9byH3XvtIybJUI7vsOxot4jlPA3babWjo+kUzl/Hu5OnM/3BxWRVDHUUIwWnfOM760QE5mpqjPSRrkXRbumZzbZ9wzhGkUtEOLp+96MRI5UgUYycmmL+UxOa+LTepuhQ/+utFjNt7dLIN/BEDAib6jz79YDSt+ONoak42tzFgRF8A9JROY8/6vHGWH1OCabLnobvlFk08fPfY/dfVp+jdr5mPXp/DqsVruf3//knrlnBHko/fmsebT75fsLxl83Ye/MOTfH2//+MLIy/i4oOv5PE7Jsd6m2/d0BJ7L9J0jfUrN8UeSxjZTJZHb3nWzvUtIWtYH9NS8H/40iyWzl5Z9P6rkS3rt/LH7/4NpP1M4OrDZtZg8cfL+c/v/ufZJlWX4uvXnMW/5/2Bq/71HX5y90Xc9e6vue7xHzJkVHgUhnnTFjH5vld59ZGpBR7aio4jhOCi356L0EToWHzR9efURKoQhWJHpQauzsbCyXAh7Bds30OGNgbE8ABFRRhJH44cxc9218RpgDLIkc0dNlhudZXHt42jpE1jhW62JxLlFpBzvOVytIA5C7S9oxVVUZOvNINssUOiOvt219EK5keg7euaQE3qRR7kkRRW1L++F9BAtNdPCvBZouXCzvofOoOUUUmVzyEymGlgvV1XP9CaggolrMOFGAQiJiSnGJz/rvUAI0F7iDKEQSun6SxgKfbS5D0TyU2QRffbvvb3AZZhRaSiuhceT7vcmEHAdkGKvqQv0KV4qPlDyoddzxuBfq5iUcrVgHWOJ3Xs+Y3ZT9h6TQPTHhejlPZhuVYjceeY1kHfG+QKMJeTUxCL/qCNIjDUd9i9IvQ8aK6hOkL5myPhvcYdXaHD46JNWPuFLRdacHtE9YGgc2WtDKmjFCWyZp2X2DqFb3zvQB8qOAfue7G9nnpiIyJ4jsMfmaCD50VKrNQWJtbzTQkewUF4wrDHjXUh7erZxL0+5Woz/zp7f0i810Ujibx9NWen/nt00PkFWEPunuBGZskre3uGPA/q5KI0RAvl+t6H+NzO7gnlFFaUiQ6O17HtgZXuQ7ejr4j+IGMmh0SyEJUKhaL70m9In+jHZgk9egW90+xYjNljJPWNdVaIZn++T3t8NoE9Dg5LyxVPuj3DPb98iP/dMZntWy0v6F79mvnsJSfxpR+ehu5ShL3x+LuR+UxNw+SJu57nKz8/3cpp242I9ewXgifufJ5v/OZsz+IPX5nFLZfdw8IP8+GTd5owgot+ey77Hz+xEySN56wrTuPR2yezfdP26PcxF8vnrfYozZIgpeSNx9/l4T8/w8fvLEDXNQ44cW9O/+4nLU/gLiCbyfL47VN49JZnWblwDUIT7H/CRM66/NNMPGJ8l8hUDH0H9eay2y7k+gvvsF9582ODEIK9jxzPZy8+sej9Tzp2Tx69NSblgoC1y0pJSddx2ra3c+Vp11se3G4jnpxBaQCmxHJK8K+QoAmy7aVFojvitP15+JZnwwtIidAEI8ZZRixG1iDdEvMuImGbK4rG8LFDOPiT+zL12Q8DjZcE0KO5ge8ccZV3YQz3/eZRDj11Uu73+hUbuez4X7Fq8dpcn9q6YRs3f//vPPXXF7n+6R/Ts29z4L6a+zSh6VqscVWfgb3iBQvhjcffY8nHKwpXmNY4ls1k+e8fn+LS2y4suo5qY/K/XiObyQYbNABm1uCJvzzPeT/7vOd+DdDcp4enfcNYMH0JN3zjDua7cqXXN9Vz+ndP5ss/Ox1drwFfQh9t29vRNEF9Y9caR086Zk9+9dCl3HzpPSyfl0+LNXBkf75+zZf4xBkHd6F0CoUijtoZ/YKUKG5PN6FZnnYdyrec1JrVqds5XSEK6sBwjmGekv5lru9mXJ6rFiInS2NffOrBXEH08bfhzcuc1J6hBIWmEKDtHFNm5wBFEcH9IdDL0D9Br+U/Ye0BYGbBnA68CywCFgPTwHw/wDu7GGvt3uQn3IVPJoE14e3K55sLtxPl2S9Axk2ql4r7fHdkOAk413H9VrOVOaIOhGNtHNSGwjJYKajSKav7PkFyJx1HisnvbiPjlG5lNg5IrCDu6DG5DVMcj0rXOs851gq3icTfNhlgm6XQcryVRSuRHoj+sSGOsJfuIM/OxPebMrRlUgMDzzqnPZywrwkUkp5z5RpLyyVvDscrN0GdznFoKbvNEyhX/dsKx8M95e2Toj/J+nzK9x+inwMCkKtBvmdHRJlpfTdngSxzqM6ct3jAPdFD0jHb2S6T338gzpjmngjyGQkU3Nv8dRRhjABYqUsWgHzHPrczre/mogBjjWLGH8c4zn/Pcx9Hb7dAvv9+EUoZE1yKiCTRPGSwh55CodhxGDNhZGyZnn0SpB4qI0bW4LVHp/LHS/7Cjd+6kyfunML2rV3rSdSjVxMnnXd0oYIacp5Uw8cNZo9Ddi1q/0bW4Oef/z0P3PhETkENsHVjC/f+6mF+fd4tmGZ+XJ83bRF6XfQzyvYtraxevK4oeaqZN/73XqTyxTRMXn/8Xc+yaS/N5P9OvpaFHy7GFSaApbOW8ZPTruetp6Z1psihbFm/jfatbR2aImjq1TFPaiklt//wn/zizD8y4/U5pFvTtG5r4/VH3+EHx/w/nr3n5Q5KXTrZTJarzriR2394LysXrbHkNCXvTZ7BFSdey3P/fLXiMpXCsWcexm+f+hH7Hz8x9xg3aGR/Lvh/X+BXD19WkqGIOx8yEOiBjJRsWb+16DqK4cm/vMD8D5YUXothfdlxPAhbb5i8dP8bJUU36NmvufDcuLEbJ91mvbe0bU8nyhW+4MPFnt+X3/Z1Ro+35t+EnZdZ0wVW6GuTLf4w2gkOadkcr2Hp9V+7jdVL1nmMHpxDWzhjKbdcdk/ovhp7NHD4Zw5Ai1BomobJsWceGi9YCM//57W8UG4cBwgJU+6rres4jqWzV0b7HEnYtmFb4TWbkOXzVnHZcb9ioS90f7o1zb+uf4xbLv1HUfvtCkzT5Ik7p3DhPlfwmf4X8Om+53Ppsb/gzSfe61K5+g/pw7DRA6w5c/szZEQ/Bg3v26VyKRSKeGpASR0zudaRyeqS2Uy8oiPo6STqicWn2JYmsClGDgFyfci+kiCwvIHjcJcZHFrKS/GWegCIAaDtTmEIyxSIXUGLkSO2PzgeRWEKH+eScHllmiYwDcv7zU+btc4sJf8xttyNWN6FwrscYSlmPZfrpgR1SWBVxPpiiFMuJzn2ejzhR0Wf0JJe3AqANgoNC+z6hQiYlHddY0Ehf3MhWR1GkIyk5YJoIv58CXIhsoumowEzescX8VyfLvmc60dL5RWK1grf/6QWloPyX2U7VgqETb4yacuzXi4P2N53LSW6X3RgfBf9YvYFVnSIUkP2FSlzrj20fHjwRNUlOVel3nd95yS0zmLHmV54rrGgcRUBoi/BYeT9Yjht3ZrfNpSAe75cbkeA8Fvyb7L6dbkV1Q6R7djRNoybfXHOi9sbOk2w4YFvTMhNftQlkEvg6T/SBDkLWO2T0QRWgpztm1xJ0N6AlcrAYSPhfcmRabNPxrh+4idhWc09pifxqKms1023xP/cUEsfhQJYs3Rd7BCzcuEa0gnyW5aD5fNX8bWJl/P/zvwDz9z9Es/d+zJ/+s5fOXvsJbw7eXpFZAhDZrPhyg9gw/INRStYXnrgTd5/foZHIZGrV0peeeht3nn2w9yyVH1UqrE8dQ01EByvg2Ta4w2s3GHSpZT89mu3hSu2TZPfXnibxwigUjz0p6fssLwy2ADCR0OP+g7nzHzjf+/x8J+fAbxh6w3DRErJjd+6i1W2orhS/O+OKbz73IcFAe9Ml0wbVm2qqEylMvGI8Vzz0GU8vv4vPLLqdu6Z9Xu++INTS45kkPOolHYfcX8MI9E40Bk8cefz4eOds1xAqk63lKVxkQKEoK2lvaSw7xtWbcqHCw8KKS4l0pC5XMxNPZNFrXIbDoGVu/ZPL/2cy267kL0O3Y3h44aw95ET6N23GSFE4Dgeh/seu2T2Cqa9ODN0zDINkxfvf5NNazYHrgc490efpa4+haYVnnMhBMefcwSjxhc/XzXP6ZdhBvxSks3UZgj/MNq2t3v6UrDBiDVOF8M/r32Y9u3twe0urXHT7QFcrZimyW+/dht/+s5fWTYn720/6625XHX677j/d4+Xtb5sJsuS2StYOmdF5Pgx/4NFfP/oq3lvygzP8llvzeOKE6/h/ednhGyp6HT897Za+SgqSg0oqTvzppf0YdK5ISUJ7eu/gSeZcIW8uVaSi0CGlEs6GRW2vb+Ya6IiMKx1kAh+pU3YJG3E5K0YCNqBoO0BYhfQJti/kyrKI8jl0aTwYcuxCETgDR28kpwHWSAmlnd1rpKEwrjqly3AmvBTRbsth0OSSSRBYDvLrKUwMd8H8207B/lKyxMtVMYQBVFRE6C+lxdRT/R1IkCkyHk7mmlgXaFYnt/zA/YRMmGbW+5qN31AhDwO9aCXoEAWCcefpOWid0JOUeRRnjjKI3efTfLA7cuTnKuDwnPsXp8or6+7Glc9cimRRktyCUj3dRrUd8uM6EWsYY4YUaKiwH8cfuVX2HGGtEdJ+MeBuPE9qu6EisJiFS3aSCI9f539mlkggVeCdLy7irCalhmrf4aSBRkQQcU0wVxoj9Nv2J8P7Xz2USS97yb1sO3oteS+70RM4HjGDuf+Uxe9TcG2YN0PotpwE94c5Ukn893lMtH3EMD7vJr0XLnL9aDQQzto7PYr4uPau3tNHikUio7Ttj0dnwNU5j3POleWdv7vpGtZvcR6ljeyRi6vZltLO1edfgNLPg4yPOw486Yt4voLbuFzgy/k032/yvePvooX/vN6qNJFSskzf38pWv6Wdp79R3FeqU/85fmcR14Qmq7x5F9fyP0+6OR98zlHcxPl+RyZQsDI3YZF5rzsCFJKlny8nI/emMO65V1r4DT+oHHRt1IBux8wNvdz9jsLWLcs2gh/6/qtvP/izDJJmJwX/vOG9cWZZ4hSOErJyecd3eHw+4/e8mykRyVC8MRdL4Sv7wQevfW5yCc60zR5pshrqaupq0/R1LORYnNQ+zHdyumg/mEv33WfMWWpLymrl6y1vnjGH1tGO8fzkJED+NSFx3Hez06n75AEzgciPF9sEvoNtusIUiYYBpgSPaVZHteApmnUNcbPPQwa2b9gWX1jPSeeeyQ3PPMT/vbB9Zx12afYsmFb0YZK7uOe9da82PJG1mDu+4tC14/ZcyTXPfkjhowZ5Nm/ntL59DeP4wc3X1CUnA5bNmyLHq9yiupuFrUpp5T2fWT++vT34UUfLeX337qDL478Fp8fciE/OuVa3vjfu56+km5L89KDb2HYCmopZe7joOkak+97rZMPsHRefvAtnv+XJae7i5iG9eMvV/6bxbPiIsTGY2QN7vvNI5y98yV8fZ8ruHDvKzhn7Hf4zw2P586jm5u++zfSbZkCIwDTMDFNk99/684uMVZTKBTJqAEltTMBF0cRDzoiOL+Hl0aXAmdYEXUkCZ2WIq+00UmmwAnar0sBGy4QlhKqI4pzbIV1kn23+H47Ckm3MszZT1jYdOzJ4H6gDQHR36dE89cZh1sZvD1a6ZFbt8m1MIklm/tFvgiloozJR11Qpm/CHftecGUa5Ie2wqQNa/K6FeQi25svaHIqRlHtKRqnmALIej3P5XYQhn3utYCPo2zfZG+wtHCXgXUEhM0KIzCn+b4R+xfAfgnkiNpFwrCKwt2GRYyFuq1ocfp8kJeVdF2LYkNMPQJPDl8zwdiQq8e5jiPCc7sxnRdjA1ibYIOwMj6FTyh+BVBYGRfaeArHY+dcDgcxNHr7JHXk2kvztV+StAa+/UQZg8TKpPl+u0Mz+89vzHkMyiEeVGfQdRs3zogxIPuAMMPHerCt/ZdiGU/E9Xln4tPVnv5ryr9NjiR9d53XUMg0gfex7j9uJWMLMBPMsPtSknZxvjcQ3+7gDYceV14ChZM8oeTGBif8e6/COgrOrSQffpsi7p9JDA4B4fNu79CEVEB41oJ+4j9Ol/de0Djt9HuPGO6xJ2ScS/Ssq1AoujPDdh4Um7ey76De9Ojd+XmpX7r/DdYuWx8ojzQlpmHy8E1Pl1zPKw+/zXcO/xkv3v8G27e0km7LMHvqfH5z3s387ht3BE5Szn53QSIP3mf/Ea3IDmP5vNWR3nemYbJ8bv7+vvsBY5lwyC54J8rJfZem5KwrPl0WRdlbT77PNyf9iAv3voIfHH01Z4+9hJ986jqWzCqPwUBHGTNhRPSjpLRyiDsk9Y5677kP4wuVmbZWt3G5RJom0jA8CoqcokLKonLIzn5nQWx49I/fjleKlYtMOsuK+atjXwcWfBhlxLnjMGhE//jnTCnZ99iOediXisg5cfjnSvJKu179mrnohnM564pP09bSnuh52TFSKoZjzzoMMxs1TksO+/T+NPbIe1Afckr8vM1Rnz8otsyqRfHvdFLa17jzcSkhm3vnn9uDvJ+DiDJsAphw0C787cPfct2TP+KiG87lstu+zn1z/8i3f/cVUnWlRdkwknhJC1ERAzc3WzduY8GHS1hTQj8Ko7GpnsL+7sYap7dvyacnef2xd7j44CuZfO8rbF63lZbNrXzw0iyuPuP33HLpP3Ltv23TdrIZI9dH3AYWzj1BCMHG1ZvKflzl5tFbn43sw5qu8cSdU0qqwzRNrjn3Jv7xiwfYvC5vkL5xzWb++tN/89sLbvUo+JfMXsGst+aF3gulKVmzZB0fdIGxmkKhSEb1K6lFW34yPryQ96fMWhOS5mIwl9peqkHEeUsKe8LURksastU9ITggWXnPZLdbGe4oBnzKARHkVdycX5/7uHORuic8k0y2uidZMy7FQNBkvPPx3RByeT/dE6aCWCWDuQ3Mj22vsVlghnlJOX3Dvz/hW+eQINeZBK/ndBLLQNf5TJT/1r8uSQ62TP6hX28i2eXry5km5xE+Qd8KcqFvWbRFdvjykH6SUzq7jzehwiBXLmlYXN91HxN6quCa0HsAhwD9yB+LwAp9f3Be+Vssogfx4fF7BigYOtKvANOIPvaCbY2YNvQvS9geQuC9roTvv7sOx0DB8X5M+OIjXf0q8pjD6g5bFrFO1IO2j52mYADQB8QQe9nOwXJE3c86lNvdvV3CCUpP2/bGkrfJt9y5d7h+CwHCHQo+Lsd1jDxiANGh6N2KuajjAEsp2gfEcNAmgTaCRP3S3ScD+7zr2J3xITRSgPu7bz+yndjzgcTbz+cSHTFjIZhh10XCdtH8yuygcoL8s4UzMRb1/CBA3y1ifdAmAoRznx2Cp+0DDQE00Nx9Mck9xN0fsv+fvTuPk7n+4wD++s7svWt3Heu+yS1EJIRy5IpyhAoJ5UgoRTooUil0ucoPuZLQ4cgRUqGcCbnv+9xd1l4z8/n98Z3j+535fuf7nd21a/V6Ph7D7Hc+8/1+vt/5np/351AcZzrrLVmgup8xatEvSfD0FOE1W9U9j5/5+BTqafwuEtT5MtPzhcjkMCxElPsJ5z+6wQOB8rVKGbe2zgJ//Ljdb6G73ebAb0v/zNQy4i8l4P2eX8DhcHhaIgNwOAPEa+duwi8a4+EqC539Sc9ggXxoeIhhACdUEViRJAkFisT6/d0is6BiwcZvt+DNxyfg5H5FqycB7PzlHwxu9JZuoPrq+euYN24pXnt0HF5r9R4WfvADrvvpmjYQvy37S261BqjXX9EN61+rdrknG1XCcLGbGJs2q5WqWNS9LsI1Xq9DADbXeJkO+b3NDmF3YM/G/bCl27B6zka8+OAbeDyuD54uPxiz3lyEq+euay7Dbytqp6CQ7OsW3hpkMcyTZJEQYqKF63+B2S6pD+3w7i3u9kpLTYNRueGtm57zpjXI3DXEKPDqT/6ieSHXY5Yr6ni/ACD1lvrZoGi5gj4tVl1c0+u0uNdw2Xny6lf8VAUelV1Eu4KQQqB28+ru9Pc2qmz4eBgcGoxK95czzJckSajZuArav9AcLZ5phNiCZoZvM8ew1FgIBIVoVM4NZBlCaLaK9Xbp1BW898zn6FLsBbxQZwSeLj8Yg+q/ge1r/s7U8pWCzXTdLwHRzspE8ZcS8N4zn8Fms8kBaOd+aLfJQecfp67BpiXyPU1UbASswVa/PSY47HYUKJo3y9bndjm256T7nkqLw+7Akd0nMrWMzT/uwB/fb9O9BdqwaDO2rfb89uePmai4DuD8sewd+oKIzLvzg9SIVLQs0Wpl6RUEFZcBsVNuGYqLAM4BYi/gOAif7owl10OUd+G8omBQ3PKk1+wOWYOk+I5k5kEtRX2RkopAbuHkFQSQrPI0qQQ0uwD2aWGnbHVnVRTKhsDUOLWSMiivaI3p0+LVNQ3q/ALGNSm9AzIOB+DYD2Af5PEdkwEkQm459o/vmACScxl6652RrngkQN1yLdDDRLlt/exbqoLqQAJ98Dy0G7Eo999kqMfM1HIVqm7epQxsP8D5G1i9XsrtqHwQM/tw6kpntjshr33cqCW190OCEIB0CpBuOPMf7Pz/GmC5kLF9y5ulHDRb3AHydEt59SSfIJjGfuVNspjLqzIA5Ppb61j3EeI/eOMiBNy/oU9LYL1lOGsbC7PH4C3jJC5ayzb1PZ2gs1QAsFYCrNXk39VfS2Eh9K9n3mN5ZbR1jGFATQKkCnJ+lYE51TnUe9soCmWlTBbySVbAcg/09+Vw43O4K/Bnrezc7mXg6XnA7HlFcfzpXUf00uvlybtinWSyC2vXOcvhgLlxhE+aSKPBvU7e667x+wOeU4u7NbnBPulQVhYxM7SI8v4nxbkL6J3PnPcaql4/zPzWwb7v9c4/7t8ugAIXAai3i7JSg/f5WWf/klz3HRJ8ey1wXfvh9Vmicd4kcw/s5Idrn8x1r5zecHSn2PzjdlVwT8UZNLt2QTv4ldVSklINx/JM9RMETk5KwfljF+VuSHWs/nqTPGahzmIki4RlX6z2mX7PfWX85sulQh3joIGWiGhXpUB9yqDzuaMX5WCtDkmS8PU732W461lA7n7000H/AwCf+TjsDqQkpWLa8Hk+39u6Yid6VHgJ895dgl3r92HXL3sx++1v0eOel7Dzl8yPK+4q3BYOu9ymzdXa2DkNEDj+j6cV7r2NK7vfa7ZQdqrZtGqm8yaEwIZvNuOlRm+jTZ6eaJ+vN97v+QUO7/Ku7C1r/kwjZ0/JwneflFdONWnX+r3oWXEIPu47A4d2HkdSwi1cOnUFiz76Cf1qvapab5d6rWr6DRBKEnB/yxqa67JvyyGsmrUBGxZtxs14k71dGbBYLKj7aA2/gWqHzYH6be/LkuVl1LmjF7FvyyFTLWRvp90bzPUEsO+Pg7c5Jx7C1aW3gevnPdeOUlUMhrly7uuZGaJg7tglEHaNY8m1CIfAX6t3q8at/f6zn93LFor/3ecGhwPzxy/1k22BtNR01G5eHeFROg2XjMabdzjQqEMd95+FShVAw/b36x4jkkVC695NEBWbcz0iReU16PnP2crekcHKP3s2/Ys3OkxAq4hn0Cr8abxQZwRWz9mo2dPJxZOXMejBN7BpyVZVZaPDu45jVLsPsfHbLRnKg7cTe0307qDo4vzn2RuRnmaT6xBrdDYgSRKWfbYKgNx9fKlKRf3O2mGz48HH6vhNcycwuu8QQmS6hf13k1YYLmfpp6vc7832KpOaYmboTMpy3mO855YXZatcEKQualxI7yoEFPGAOAbP1UG5Q8VDbkWqIBLh29LWPVP5JSUrAoLnTeZFuYwbMAx+SGlQFf6Lq4Bk8y1scs//vM4A7q5CWK8WcKrCTQlAHmi3xPZaD0l58xismIc/ihsZ3aCWYhk+u+Bh6I8teQvAAa9pMSZ+E2VA1GwrXOWK5jWRXnnzGKQomNbLk/d6m6wA4f7dU2EYQJYkef9zMzuWqlc6n/1QK3Cj+oLXe+W2kCAHX5U395FQB621WODp4txsqauyFRxM7ItexCkAylp2ylr8Z7w+yyApQm5xi4JQb6OC8nStLsEDPQe5phkG+1znj1iDTAOqgI/rtzR6IJUkwBJobXlXLWCzre29KyIFWEKvGVByf2h8Lje7jED3xYwsw1S6JEDchGf7el83vLeH8vwpTFw/jfbVfIClOtTnWCsgFXNON1gX4edzSwjM3eIUgblzSqzz/zTj39CdORczBTGx8IyVbHZ/17hWBnR+ECb3R9d2jDdxPyNB3b25MJknV+UjE+ODA1D1lCHFGSdX3fOYSA/AXE84rvl7T7Artp3WsaT1JeG1fTWunxKgqqgl2TXmq/i+ZIHp4RWI6K51wx140ghQO6ffSjDXijizCpYs4Pd5UgiBfIVjfaZfOXsNE5+fgU6F+6FnpaHoVKQfRrYej3//POyT9uD2o37ve4VD4NjfJ3wKwvPERqKCYpxjVbet7krzwLPvdPG/kjquX7yuX+jlnB5/Od496Y8ft0OSJE8+7HbPyyGPr3h872lcOJ7xANvmH3fIgUmdzeWwO7B97d+qMarPHj6Pd7pMgi3NpmpJJRxyofRbj3+ES6f9jw9txJZmU7Q69hp3Vsi/jU3RFW3V+hUQExft+Y7XSwiBiDzhuN9Ea0l/hBD4uN8MjO/xOQ5uO4L01HQk30zBr4u34MUH33S3mFP6a9Uu7VshP/vo5TPy9lZW6HDYHUhKTMboThN99t0nXnxUt1WbxSohMiYCzZ9upJp+aMcx9K3xKoY2Ho1Jz3+J8c98jidLDMDMUd+YatVopMuwtroVUqxWC4qVL5xjQeq9fxzAiw3fRK9KQzD0obfR457BGNp0DA5sy74u0ZXOHDZXofCqIiB8u6W7jkEn1TnI4ekZQFmpqPL95SAU5zjviiICQFCwJVO9dmz4ZrP+h67l2AWOO3uGcDgcnm7InYFk93q5pgH4bYlvhaDzxy/h00Ez8Vje3mibpyeeLjcYFWubq8yk5duPl6v+Hjr1OZSvWQqAp/tvV9D6voeroc97XU3PO/HaTRzcdhQn95/xCewlJdzCtx//hOeqDcMTcc+hX83hWPbZKiQn+S8bLVutpOc8pVHBTTjzq+wBxKxV/9uAV5q/i+2r/3b3hHH8n9P4uO8MTHhums85buaob5B47aZPQFw4BAQEJg/4CqnJmQ8+mq2w52qNu//Pw3KlCR0OuwMHth11txa/fNq4i/K9WVQZ5cyhc5g+fC5eeWQMRrUbj+Uz1iH5ptnycP/SU20++5m3xKtmn+u1Hf37hGHgWXnO1r7M+uYxyGSPD0SU/XLB0al34nMW/rlaacICCKPub+KhahkNG9yFeK55uF7uAKuy8M81ZqLiO5Yg+eXTUlSZT+inlyR1OgDGY+46oD1OsnN9dKuNu5aRDkhF5AJxybW+3i1e80A15qNqdby+o9qNbN6JDSi+67BBPRa0lhvq8YxRXjelnAUJ6i6vzQaAvAryA+IsNJYkzzZS/e6u1ln+CqvNZlMjwKCalpHCaaOAgpnv6wWuAJ/uSSUJkEoZzLKEYrtlrjshU0Q65J4YXMuXfLe1OJs1NaukMMBaHrDUAyz3y/9by0Pdk4H3d4zOJ1rfMfrhXAFxg2PKdBp/yzb7G96moLD73K48jwGe41bvvJgFAWRPJuB7Hs3K+ZtYNo4A2A+oxin29x2tChBG10+j2eaRW0K79/+6gKUUPAFbgyz5Vdp4BlJxAGYKG1zXEbP7pOLcIIVBrojiLx8l1H+bopPO8LoQ6HJclUtcBfTKYwaKaVmwD6t6CfE6BpXbXnXuLQj/FZ3CoQ44m82j8rc200Wm977h535MNw9G108JPmOEK89Zqvuz7DynENGdrESFIrBYLc5gpx3Cli6/7DYIhx0WqwXFKxQxnlFWMLg9kCTJp1Dy0umrGFj/Daydu8kzZrQAdm3Yh2FN31F19wgAQcFWw4JNi9Wimab/R8/I28luV3fb6gzQNH3ywQy3bLNarVBXevUOWAtnGlnyjWS5oF6rhZ4rT0KoutsN1IUTl+WgiLvViEPxck1TjyH747S1cDicXdsK9Us4HLCl2zM9FqU72KybQF34bLFY0H5AC/3vCODRZ5vAGpS558hf5v+ONXN+BQBVUNhukysNvN/zC1y/mKD6zu6N+9TBWtd2zUDFVIfdgfPHL2HHWnVr9XvuK4PX/tff2c22q/xJPp4i8oTjvZ9eU3VVfHL/Gbz8yDs4c/i8aj7pqelY9NGPmDJkdsB581b1wQp4bVZ/+Xi0SLBYJXdr78JlC2L88tcy/XtkxK4N+/Dyw+/g4J+HoazJsO/3fzHkobexb8uhbM9Tnvzmzinlapa+vRlRCHZ2D+8KTqvOQa5zpBCwKPbjQzuOu89LwpYO2G3ul3DI59T0lPRMBROvXYzXL4NRVMxPuBQPAL5BOVdg2uu8aktTV3Y/+vdJDLh/JFbN3ODuPvzGtZvY/et+RMWEy91CS3BfW83w7v44KjYSE9e/hZFfD8R9zaqj7L0lUa9VTYz5bije/f4VhIQZD+tz9fx1vN/zczxZ7Hm8+OAo9K3xCnpXGYr1C393fz6g7gjMHLkApw+ew834JJzYfxrTXv4aLzV802+vJPmLxAIQzt4rFNyBa4fmtTT+ciIunbribm3s7eLJy5g84CtAqIdqcG3HX+b/rqqMkHjtJn5b+qd+i20hD9fx21L9nkfMiog2aD3ulL+wXFZ+/UK8YVqH3QFJkpB49QYSr/pvOGQNsuLYnpOm8uDPkskr0LvqMCyZvAJ7Nv2LbT//jU8HfoWnyw7UHcIjEK7xyvW60Ac8la0yKi013e+xJYRAapKncr+rgoeyYp97vG9FZUMzxxUR5YxcEKTWCfz6BIQFTHUDLLxPlMqCZO9AlPdTdKwiT1qFwBoFglKM4jPldEWQBGHwdPNpM7ce0KqBlaKRZ28SgOvy8iRnl+IWr24nJQsgRXmt3w2oxsb2eahyrZ/yomvmwUuZxmzLVMXDlBQM/+P6RkLd7a5rLGd/BcSAuhA4QSuh13e8CwcUv4NmgMybRoUAH0HybwV4VbaAdhAVgLr7YzNj00jwvz1d8/fXgtLfTboEIBXqrloBSPkB6R74BgIskAPYyoIzo5qaruMq3GuaEeUxGg/jygnpMN863QTJIu/Phq11XZVkFOukOp94J5cARMFwG0j55P8tVgA1/KQvC1hivablNcgzoD6mzBZIuH5rszeSflpq+/QG4L2tXH8719vnvCipP88UjWuI31bcWcm1/oEGLL3PDd5BSqPrp9HsXV3qK7+TwcC5i6UQgOJ6HwKoBU+vIf5a+cfJlUEAqMcDNsqb8s+yAAr7TkcIIFVRX6csYRrptMTqLFexz/oLTksWyOcGA677GHgVoKkCyMplK69nZvcB70o5eudBrXNcECBVhfa1K0b+TBVUN1uYryjUksyc45RpMnI8ewUvfOidg/z93uyiioiANn0egT3dphvstKelo03fR7IlLxdPXHYH7FyFhu4CRef7K2fVrXBnvDoPCVcSfcYTdtgdcNgdmPDcVFVheJ3m9/odK9ESZEHt5vdqBqkXjF+m02OZbMPC35GabLbHE7Xazas7g3TOYLC7ma/83mKV8+XOp9Uij1fsj8OBuOL5MpQfAMiTLxIOu92TFxV3M2RVgHPr8p1w2PTKKwQcNhv+XLEzw3lyLzqANEIIrF/wh9+476+Lt2a6hfDST1fpj6crALvNjp9nb1TlK/VWmusPz/GXiZ6TrEFW/LvVtweBpk/Wx5x/J6Hrq+1R6+GquL9FDbww4Sl8fWASKip6CACAue8uQXqqTXssbwH8NH0dzh3Vbt0rhNzV+p7f/sXlM/5bzDd9sj6+3PUBHmhVE4VKFkDRsoXQfWR7TN/+HgqVyniXzxklhMB7T33ibgnszWGzY1z3T0wHHbNKeoq54cxKVlRXJrLb7Zgz+ls8XqA3WoZ2Q6uIpzCi1TicO6bVoCUwkivg629bCOEemxeQxwyGcADeQU3Aef2RX5npOEwYdS3tnPmZQ/I2yEgrXyEExj/zOZKTUn3OGcLuQFLCLdRpXhUvT++LXqM747VZ/U3N16HR4jY4JAhNOj+AcT8Mx9Q/x2H04qF4oM19sJoYZ/76xXgMbvAGfv12s6p787NHL+D9Hp9j6ScrMaH3FFw4cVm9Tzsr+ZzcfwafvzhTd/7xlxPd51mhrIzkfAFAekq63N01gK0rdmBwgzfQpWg/PF1uEDoX6YeZry/wqSiwfMYvnoo7Ol3rLp7oaXV++dQVn+u/N2uwFeeOZH6/bz+ghWGavIViEBMnP+/GXzbRWti5vUPCzPUqaDadnj9X7cL04XM1P7txPQkvNXoTaamZ64rbVYFNfus7tAYcwh3IzvgyAkt+T+2y+mN+Kyr2VWtYKXP5IqLbJhcEqR1QF8j5Cf4ZkqDuDjYY5goQXSc4RWBON/AoQR1oi4JuYNcd/FCOT2X2RJ6ZBywb5FaiqRplna4JlzRanXun8f7bgsDHclZuK7NjDSvTXQekW/Bp1QU4C89TAPwLiN2A+BuegLNk8FLOzwFPgN47nVawVrENtLaVcLVaVH7m3cpOq3BbGUxI9/pc2YpKZ5+WQuHpdlbS+U5BqFsw+ukdQLX+ktd0Ixr7uVQAkGoDUkVAKg1I9wBSHUDy6vJfclU00Po9lOcH5czNVAJQdgFr8Bv6W4/bTS+I7S+IKrn+8d5uypa8in3eEgFYHoDcYjoKcnCqKIC6zsCfN+8WyRqfB9wqUYL7PGf6VK+s+ern/CPpnJPdn+udq7MigOxnXu4WkUpmL9Mm02m2uDe7DGUg0ez1M7MCOfdqkIpCPu8p5xECSBUAi6vQ4iLksZO95ynBPQ69+3qYam653k9VkgR5zOzagFTOeY6rDEj3AZJWBaJwjWneCutM1zsveh+HAKRiBssIhrsVsuSvApNynsplmNlWEtzXdWX34v7uNXw+CwWkMgDyOfMcDKCAczt7P+hn5P6pEAyPE0lZcJiR3iICPC+6/zZKnx3H6d3OkotfREC9NrV0x6sVDrlgcdcv/2RLYCYkNBiApxWeqkWb872cRhZ/ORG/f79NtwWVEALxlxLx58pd7mmNO9dH3sKxumN9OmwOdBrSxmf6tQvx+EsxH80WQg6Baa9oF/4aaT+gpX7wXAIsFglt+ngqC/z7p7kWnVfPmuueVEuD9vcbpokpkAclKnrG0Uy6cctPatnNRN80yTdT8OOU1RhQdyS6leqPIY3ewurZG7ULy83ePjgd2nEMpw+e8xtPu3L2Gvb8ut/EjLU5HA4c3XPS75jqQggc2n5M4wPlgKW+AZlA82HROZ7jiudDz7c64v0VIzD2+1fQYWBLRMaoWwYmJ6XIx5SfgL3FasEvC373mb5pyVb0rjIUz9/3Kl55eAyeKjsQo9q9j9MHz2nO548ftuH5WsPxx7I/cfbgWZzcexLzxizGoAdGZWvX1S57Nv2LhMuJftNcOXMVh3Zq/Ia30eGdx1SBHp9usp3vL5/xbLP0tHR0K9Uf88ctRVLCLQhnUGjHuj3oVXEI/lq1S29xpqk6kdPIFwCERXgqk5sd6zUrupM34uq2OUjZWl+vtwjIQU6XfZsP4tSBs7rHiMPuwNblu1Cn+b148pW2eLjrg5756xECMQVMPkuZNH/cUlw9d903gOvMxozX5mLnun90z1nCIfDrd1t1j8X4SwnOSgdalVnka7ZkkRAUbMXyGevwVocJOLj9qHsfuRmfhMUTl+OVR8aouhbfvvZvVwag7M3AXWlLCBzf6+ldNCLGuHWzw+5ARIyZ52f/Hu7aALEF/TfueW6cpxv2dJPBXrvNjsjoCFRrUFF1b+J9PNltdtRvl7kxqT8Z8KXfz5MSbuHnmesztQwAnkC1sv6DwzlNkjJddBYaHuJcjH5rbWXL9+h8Ue4W7noiIkNRtJxWeSbddt4VUnLLi7JVLii9cBUaO4Mgmi3AzBLOAJeLma48QhQFrkEml6/8/Kr/hyxJAnATni4ug70+c/7vs0ytGoFmux7LA3OtlpVpQnXy4eT+TLlLRcBg5aHOs0ZrSc3lKQtyFXlUdc2rLCC+CSANcnAhGZ6rqE5w06cyg/LEpJXeW4ifvOtMlxKgCiJIzpdqv1fW2ncFrC2edVUFKV3HjXehdxHFZ97fsULdYtl7XnqnCzPbRMkC3ZaxkgWQ8smF/VIBnaCndwtpveUrjhGj8bsByGN7ujhM7u/ZXfhvMXGh1MpTsifPrkCoMlgpAM0hBCxxgKU6YLkXsJRytrLWWmSC4rCy+r4gQQ4Cuph5MBXwnA+DYepy5TOGt04lC91taPB7uiuYZIaZZWT20uznWM3UjZay4EGC/+qtWbEeymVoHecGv4ewA9gNSNe99ns7gMOQx50H3F37u9Mou3h3cY33aKLlMQDddZeCAamg8xwXq32OEQ4Yt/aVAEmrCy3lOV3v3Kh4L+WDuqtxpSDIrbxd66LRwluzAoeyMoPRedL7c2Hy3OtFXAKwTz4XSQ7n6zqAvYDw7nkmj0GeXPlS/NZSCCBVgv7vWh6QlPczYTCu/u2dBz9DPACe+VmU13Uzx2HgLUiI6O6y9utffVq0yK2XXc1ggO8/+xn9ag7H1uU7bmte6rer7b4X0QuK12tzn/v9+eOX/AbTAECySDh1wBMkCw0PwfsrRsgBAQnuFtOubklf+vw51GhcxWc+54+rn4+1WloLIbBu3m9+86On3L2l5HGBXS3HFS8IgScGt0Lh0p5Ks0YBVdf227bm7wzlB4Dcja3BveGtG8nymK5O6SYCUSk31Pcx1y/GY2C9kfh8yCwc2X0cV89dx79/HcbHfafhlYfH4JZXelfhtD/KygyXTY6BbdTy1x9JkgzH0pUkOWCj/DtfkVhFCkWgWu9ex6BgVDgEqj5YwVymNdy8nmTqmLp+KUE17edZGzC262ScPap4ZhTAjrV7MLjBGzhzSB2oPrjtKEZ3/Ei177gc+/skhjV5O8uClbduJOOnaWvxcZ9p+GTAV9j8wzbNeW9c9Iep+W1ctCVL8mWWLc3m6ZbW5hzz2SEAh4Aj3eYcC9qhamE5vPlYXL+Q4DMvyXl/+Wb7D2C3Z7xCvcPhkCsxOV++sUR5+llFl/EpihazmsF292eZ/N1NlAcXLeepzBsaEeJcpnclANc0B+5t5GldefTvk4bzd9gdOOnsNlmSJOQtFG1459+wQ+aCj0ppqelYPWej32NZq+W2bxoHJr/wJUY/8REm9puOvzfuc/9eV5znS+Fqheock1zZUlXY7bh+MQFfvPQ/CCHkCmWK/cSebseRXcfxnaJldPylRHf5t074HEKxXkXKFET5mqX1e7FwzuihJ+oZrq8RSZIwbfv7KFAsr8ZnwLPvdEHzpx9yT4vIYy4w7gpMdxvRAXbnMe7els73FgtwT63SqNnE9/7ELLvNjismutn+bvKKDC9D5rp/9NxHKg5wQAgEBWeuLOjBx+ooFiPcvecIxTKbdKnvTn/13DW5Nwc/bt1I1q5IRkR3hDs/SC05H4L8tmQzG7i2QDUuoRSnm9KTRlHLRkoxuRzlpTZFN5WHA+5WRBYLgDDt9VUtW6sL01Iay9cgFYA62KBH8UBh2AUxnBcoZWCwEPQLqJ3TVdtX8TDq3c2ubgG4me2rXKwrP3rbyDU90JZgyuR+HjrVCRXvk6HZulPZBTvSPDcBrsCfKp3kta0k+HR/Kh3ypPfZvgKQDhrk1eD3NCVOf38SNjnYIM4A4iJ8ugUHIHdxa9TiLD/UreeSfbeZkmSFumt0q3F8Qc6wmURZy9++pRvwMponYO6coEdobFrJ9604C4hzzgkWxYferWUh/y05f3/JAuOWjEHwGXdWUs5bI1+q7HofP7dRoL+hbgt1P59rfkdn/cyus09lD6PgY2aPD63gaiDn5oPw39vBBUCkQO6ZwojzeiilKfLhvXwJvnnMCDs8Y3275qfs7cAZTIdxSyZTpOKAdC/kYywSQDTkFsi1oK74kRfudfa+hriFwbflst72UlSWkW56pgW624gkACe8lqdc1jFAKAq/LfkU+fH+rZTT86s/kmKc26QE5GtrFICizmle95NSJMzdaygL4UvAdxupZgrfXkGMAu4S5N+ViP7LFo7/Xl0w7wo4eDm57wze7PAh1mu0oMwqMQU8FYD0gsBptzzPoOGRRhV45GCJxavwunTVEpi1byIGf9ob9z9aA7WaVkWnoW0wa99EtO7zsOZ8IqMjNFsverd0Sr3lG3Qz4/DO4/h51no4bHLASflypNvx7Uc/4vwxTxfL7m6idbi23/4t6uc3IQS2/LQDr7Z4F+2ie6B93l4Y1/0THPjriM88dm/YZ5jv9NR0HPjL0710skEgCgBuXFcPifThs1Pk7qMVBdmuShKHdhzD1JfnqNJbXeNk6xHq39yo5Zs7XZxvOiEE9v5+ADNenYupw+bgz1U75bHAvUiShNot7tVtoQ/I61Sn5b2qaaUqy63QlWuj2T2q/AGEvxshZ+H/pZOX9dMYiM6fB0Eh/p+lhUMgrlg+99+3biTjC9c41V7Zc9gdSL6ZgpmvL1RN/7D3FL/3dOeOXMSWn7YFknVN21bvRtfiL+DTQV9h7dxNWDVzPd5+4iM8V3Wo6ngCzI+ReulUxrdvhniflx2eiizy53KaOs2rA5ADlPs3H9Q8hypmif+N+ibDWUq5lea31wD3chSBULkbaGdQUyOo7Tqmb17PxDOM5Jq/Tt6cnykD+gWKxKq3sUa+lENemG0dGxzqOY5c1wXv41p5PdEb/9mWbsO2n3dj7de/Ytf6vaYqbyReueH3GmHUM4ryXuDPlTvxx4/bsGbORrzyyDsY8eg4JCel4Oq56+7fUllhwf1yruvqORvl1tw6i3TYBX6Ystp9XlUGL/3swaq/eo3prLtOkiSh1XNNUbBk1gwhkLdgDOYd+Qxjf3wV9VrVxL0PVUbHIa3x3fkZ6Ppqe1XaRk/UNZxfwZIF3BWcajSujGLlCmnuv/Z0Ox7r38LvcW0kyXsMdh3xF30ruAROca+krHTn/Cw4RL/b8uSkFFw5ew1pfiq99RrTRR7z3SZX3nEH9J1/B4VY0X1EB3f6Y/+cMnXOOrL7uKm1I6Lsd+cHqV0FeD4nce9CT60CUO+vlFUX3EuhgFTSzxcioe5O08TFQpK8CvLNdN8IqLuGlPRv6N3BSI2LjyUEcleX/vJZ2lm4baYrSmXeTYyLIUlQBZqRD55Cbe/uB50Fp1rdhxq1QFZ9ntHxOvS2kTIo7Jpk9jd0MdnNpyoLyq5O/X1Hub/Dsz+ogsjKgn/Fd0WivBy/2zcNqm7eDXd5ZSBF8h8IBiC3yNfoXlYIQJwH8DeAU5BbNp6W/xZn1ce/ZAGkcn6WEaxxXLuC+8pWkt6t7pUPA0GmDnfzXbpmoYBbwpq9yc2Kmux652XX9AsAzsFd+cgdeHOdF6xQB+OUFVeKO/8OcgbBghTvrYBUSn2sug8JV/DZ9Xv7CUSb2ba3O4gtvCq5uM97Gvutcv/1zpcQ8vaQgp3/B2VB3jW2r1+ZXJ6qe2fFuUVy7TN+CAfMjRl/zHheALSv5d7XNsW5OKv2E+/9VgpWnLNMjIGlOU+tigqRgKWss9eEqpBbenuvc5JzFf1V9EiH3ILdNU35mff51/mhEPD0kOHIwL51UTFN+Vsqz0WK1nFCUflFdW6wevIJwF1JRrXYEPlcZKnm7GWiFCBpBVBc3zW611Asw5IH2uOMK9enrPZ8/JEy3oqGnFQ9keSyFxEgd+WpLJjX4SqM/nTQV0hNzkzlRX0L3//esPBc2U1tULAcrPT/HaFZqBseFYY2fR/Bu8uG4/1Vr+O5sV1RpKz3EEseyoJz3WAGjAv/9cx+e5Hf222HzYGF73+vyoOZZZ1ytuZz5W3Gq/PwVocP8ffG/UhJSsWtxGT8tmQrBj/4BtZ+/avqu8pxTPW6GpbTKTIu1AEOn9aVylb6AM4cOocda/f47Tr3l3m/IfGq577GHQjXWn/ntBRFZYEq9SsYjs2dJ18Uaj1SXTXt4qnLeLrsIAxt/DYWf7wcSz9ZiTfafoDOhftqtqbs8nJbzQA2ILeUy1c4Fo0711dNP7LzuLMlolclEee4vaqx2YVQX9ndLcZUIW6fVv+BCA0PQdOuD/oPtguBZk83cv/925I//Y7F7rA7sPmn7fIYtpBb4Z7af8YwL1OHfh1Azn2d2Hcab3WYIO8LDgF7ug125/j0F45fwvDm76rOZaWryb0HKSvseAfcAKBsdX9lhFnPTGAFAC6fl4Psf640HvNdCIEN35hrOa4lPDLwnnhCw0Kc5Tp6mZLXNTxKu/LRlbPXsGfTfhzZdVz3OINDwF0JX6OSh/yfA1GxnhauZw6d918JVgAT+013/5meZocqAKd1XhRC1ePDrcRk7bFwAffwFvs3+zYIWTPnV3Qt0R+vt34PH/b6Aq82ewfPlBuEzT9u95NhICI63KfymfIVSKDTdU5yned3b9iHiX2neyobONfX94uAJEk4svu44T6ccCkRyTfk83ryjWS/1zatz+q2qoXXZg1w7zvWYCssFgmSJOHR3k0w6JNexisagDOHzuOPZX9h7+8HsP+PA9j9yz/4felfqmsmAHQa2sbde4beOj377pPu94sm/KjqfcDb5BdmICnBtxJHepoNa7/+FUMavYWuJV7A87VexZLJK3zSBgebK58MCg20jNuXKzjt3u+dL9c1za5xDB//5xTe6TIRHfI+i24l+6NDvmfxcd9pmi2g8xWJRb5C+hXQ8haMRp58np7MgkPNxQb00iXfTMHmH7bhl/m/4dCOYxm+1yMdzt5Bct2LslUuCFJHahS0eL9XFgpL8O0aNg8gVQIkr1YxgLMg9h6ou/62Qm4dUxnqFp8JGci/xjJ9xHoKnYUdcottP8klQLdwWroF/S8rg5axJvKVT+e9P4ruoiVJ3rZSCfgEvKUygFRKI39mgrTKNGa2r9Y8jD5XXrjympinMtiuLHg3mweTh6J7ng6vbSEpXsp8KOdrtnszZTp/BZ/KQL7yt/POB5xpCwFSVfi2sgPkrnTPQnEXrPjsPHy6opZiAakK1K3KJMhjaleDurJERsTC+DcJgfmuf7OIUaGzgMbn2XVh1Tkv6+VFcgaQNAvUXe+VN9nJzmCL4nzvDuBaACRqZyuQm0tJMnncpjhfGdi2piuiZIJrqADPBOj/JoHky/t4M8pHZtdFQP88A/kz3WWYLVy/BXnMaiOua82NbPgNXZXQ/B1TEjRbiRv1eiJJyPh5y0xQ3Lur8giDc5azUoa7q2yDbSe0rhHxMN5W8Yq/bxrvvv7us0xJyNh+YqkI+T7K+7MoADWclRGV87gJ/WPbNT3eTIaJ6C5m1CLXXbjolBR/C5NfmIE32o3H663HYe47i3HlnLkWiEbOHDrvt/BckiRVUCnx6k05cKfzHVchola3tkf/PoHX24xD6/BueDSkK56tOBi/zP9Nt+Bx7+aDhoF8w8/92LnuH1emfV9Om74LvJvh+Cuee+A/V+x0d6uqDArbbXKh8Ud9puHCCU+As1Ld8s4s+QacXcFoSZJQrmZp93dUgQstQl1Yv/cPvZ66PGzpdhzcftQzC4dDbpXpfi93ySsczmlCHQyyWCwoV6OUJ38aSlUphmBFC+KUW6l4vuarmoXjiVdvYtADr/vs9/c2qoyhU/vCYpHcQV7JWTE8pkAejF85EmER6uDejetJXo+4it/dbpOD1Xab570roXcgTtFdcbyfcZW3r9mN956ajI+e+wKnDp7VTPP0qCcQGR2uG6ju+mp7xBX3lLNcPHlZbt3uh3AId/fASYlJftO6GHXNauS7ScvhcHaF7VVbAvZ0Oy6euIxNiz3HVPsBLT37r8PrGHQG6oQQaN23WabyleWc+8CPn68GAFy/EG/qa97d6ANypaW5YxZjUL0ReOG+4fhi8P9w8l/fCgUZac2Z7N2KU+McBwBRsephCs8dvYBR7d5H91ID8HLTMehfZwR63DMYa+du8lmGQ9FSU4urK/Hrl24482Q0hJIsKd4T7LNa5XtodwDOdXzand2yC3k/S3NeW9XDZwjdrrGvnFefT36etQETnv0CCZfiodx/L5+6jLcfn4A/V+7SzW9KUqr8GymvSYpt7e6mXXMb+T+HO+wObPx2s2K+zuNLNZ63A67W6ReOmaw049ylkhKTDe8DtDzSvSG+OT0Fr3z1PJ58pR36jO+Orw9NxtCpfREUnPmgq8vuDXvx/H2vYuVXv+DGtZtIS0nH4Z3H8XHfaRjd8WPYnBVhACBP3ii8PON5CIenYgPgCeDe90hV95jlDocD88cu8VveZEu3Y+VX61TTUm6l4rUW7+LDXl9g/5aDuHr2Go7tOYFpL3+N5+97VTWMRXhkmGp8dT21Hq5mdnNo8qnA4H2sC6i2EwDs33IIgx54Hb8v+wsOm1xxIz0lHWvmbMSAuiNx7qi6zPenqWs8Q3l473sALp28ghVf/uJOX7nePYiI9t/9usVqQe3m6t5OHA4Hvh6zGB0LPoe3H/8Q7z/zKQbe/xqeqzYMR3YdD3DLEFFm5IIgtRY/BXKSBEjhgFQbkGoC0n2ApQogxWikd30tn9wiRrpP8Z0S0O4uNdCsRsB/kFMCoNGyNCPENQDpUHcT6ny5x9d0jRWkDCgqWjf5bZGegYJ3SQDSDediguSXJAApEabGCTbMRxx0xzf2OwuNYJ9qmvK3LwHV+L2a3yntmz/DG3vl4Rdoi3DvALW/z12UNwnOIJb7N1fmRVnjzfsYUAYRoQgSSl7vXa25XcdUbcBSGpoBauGAZ7/Ucx6q1nkAIOUBLJUUx3ptwFIGmQ9Qw7ldijr/8D4+XNuqeNYEFLNSprKTmcuBd1fdSgbna0Bj/4HGd855ZqcpHqoufd2LCXCj+E3vqpyxz/naA7kCRXZVBPB33Cq5tmcG1t01b+X/mufFIO3zqHs+GVi+bp70loGsWQYKw//+HwXAVYtXY59V5Skr8pOR87tLSc852Pvc5Q5gZ3Qcw4ysW1H/H0sS1JXYzATZvfMiNKbBa1p2tybOxH5iKQlY6gKoDqAKgNpy63bvALVqfs7f2n2fZfVch011Z09E/xnKwJcQnsJnZQE0BNbN/RV/rtyJbT/vxrx3FuOZMgMyFED1ZrfZjVunKD4uUDyfqmWOaixnV6sdu0MVUAOANXM24oVaw7Ft1W6kp9pgt9lx5vB5vP/MpxjZepxmHi6fUlTU9dOCV0taajqSEpL8rpstzeach1Y0WC7wT0pU38saBYqEELCne87zyz5bBYtV8uRXI0i0YoanADw8T5hu9+/yPOQC3PS0dJw5fB4pt1LVlzCNgmMAsAYpunM1eW/kk84VHHIHce2e9w6HalsnJd7Ctp93QdjSAeGAsNsgbOny/w47hC0d//y2XxXcnT9uqacVmsa2sqXZMOWl2T75bNW7KWb9Owmdh7XFfY9UQ93WNfHSF89h9r+TUMbZUtezCg7n9lUed84Nq0Pdil25n3hojVe+d/MBNLd0xshHx2HDwj+wetZGPFd5CFoEdUHidXXFuyJlCmLypjGo1rCianqefFF4fsLT6DWms2p6VN5IdWt6HdH55Yr7V87FK1fIc65xVS7QCFxmxKbvtsrBDs3tKW+3P37wdCkeVzy/XIlA9zgUiIiOQN6C+mWHQghcOHkJx/ee8ttVbcCU28O9vZzTnMfGwR1HYbfZUbZ6KU8LWmcwVPVyfi8qJkK1iN0b9qJn+UGY9+53OLjtKI7uPoGfpq1G32rDsHz6Wq1MBbQKqbfS1L+tsiK6Yvq1i55g7YUTl/Bi/TewffXfqmP64onL+LDXF1j66UrfLAnFH4rzj3usa4fA6YNy2cEtjTHRjRQtX9gZYLarzmvyIuXzkgBQuIxyuB+j65pAerKnPC4tNR1ThszW/55w4NOBX+peU04eOOM5tyiu3crribxY4bOvQK+Vuk4+/HwICIELJy7rH8+K3z3B1dOC3aG7Xp6vaX8eHhmGFj0ao9eYLug0tA0KlTIxhGcAUm6l4u3HP0J6cqqzBbz6Grf1p+1Y9ukqd3pbug0f9ZnivF7J1xphS3dfu3as3o1dG/YCAOIvJ8jnUYNr4jcf/qD6e+bIBdj7+wEAzpbL7opODlw6eQnjun2iSt+69yOqv7WGlnjh456ayz5z6Bzmj12CaS/PwU9TV+NmvE6FIwHf/U5xHoVwjk+uyMP7PT5Dekq6vF0V6R02OxKvJOKzF/+nWsTC95f53Ft4ZihPXzh+mXtSaHgIOg1tq1tkIVkkNH/mIeQvoo7PfDbof5g75luke53PT/97BoMeGKlZiYeIbo87P0gtSVCPqyvB/w2ABCAJckvTUO2gmO5Xg53f0dssETrTjZSDdkutYAAV4WlBBGdhspnlaHV7oR5zxxMoVK6PHfIYnNfhDiz5FKC6gh/XFROvwX/BuIuy6xIHgH/g02pJAuRW6fugDohGmZg/oNofJCuAypC7Zs8A3S4RlWNrBwGoCrlLYcnrOxKAClCP22m20oFyvzYzjlYerwJ6o9/D+zhx3RQruwpX/O8+HSgLtJWBGe/l6QTjVa1hjY4pQO6S1+bnc0DeT3RqjEtBzmX4q1RiZr/yThMFnyC9e92C1MdttsnAevi0qtVjbiw3bSEI7CFW5zzus387C+qEDeZaNWZNKx9tWudLG+QeAI4j0If4jC0ffo5b72NTKz9G5wznvCzOSjkWi3q66pylKLzRbA3vlSZDzFzv9T4yHsNSFulMWxnaFZ5iIZ/jJcXfyuXoXUMyQzH2tC6d7SLld35f8vyO7pcFQDgCH8LCRWN4Dh/e9zBmulxXPnyaOQ9JUF/zBfxvKwmZvtcImFd3srr7iZ/fwhIhdwFuMfq9jK7F7O6b6D9PGSBy/W2mSbDzY4dDwGaz473uk3Fsz0mN2QtsWb4dXYr2RavQrngirhfWzt2o2bo5PDLMb9BSCPWYvHnyRcmtPZUBS4c6WAkA+QrHur9z7WI8Jjz7he4ydqz+G/PHfuczPW/hGJ+gkIpXoAUA/vntX7ze5j20Ce+ODnl7oXORPpg/bol218jCaJt7Be6E0Cxc9nwsp7ele65x+7cckguGdQqOHTY79v5xwJ1+1huKMWt9Wsk5Ax0OB54q2R/PVhyMTnG9nbP2X3DsUIxTe+9Dld2XKndFA7vdU9EA8tiuFe/3DOckNPYdH4pAy97fD8LmGkdW2eWuM/8AALsDu375x/2d1bM3eo4NnUoDet0qh4QFYc+ve7Hvj3/xz8a9OLX/tGp8WpfkmymKvCiXY7xeWr+76ze/dPqqavrJ/acxtOGbmrMTDoGO+XvD5tVNbYmKRTFhzRvoM74r7qlZCnVa3Iuv/pmAji+19jlG8xaMcefHOzDqzpcExBaS7/2Dw6yKY8V7nRV/ZzJQbTg+vBCIv5Tg/vPy2WtIuZkM/d9A4Fb8TVy7cF3z0/+Nmo8W1i54psxA9Lv3ZbSJeAq9qw1BwpUEn7TxVxPwdLkBaG7p7H71uGcQbiZoBH2EM3ClCvrI+VEej8nxt/BoSFd80PNT9b7tzdkCWArylGXEX07AG+3eR1pquqorbVcvC58MmOEzvr2z2wKdc4Pn1dzSGW0iustp3UFp7QosEAK71u91/zn7zUW4mZAEh82mef758rX5qqEAXPkRDp1Ap0Pelif+OQUAiDRoWaleWVmdFjW0z29KdjtCwkNw/thF53HuZ1tp7O/bV/+N5Bv+x+a+dPIyDu04pvlZcmKyQR5deYF7fwiE5PoNDQn17wOo111yn/xx3TkOslGr56zsZvng9qN4vc04NA+Sj8FnKw/Gr4u36C5jwzd/4JbfniAEvh6z2H0MzX7zG8+1R8eYjh/JefnriHMWQmdfkacnXvFsz6TEW/hp+hoInd9POAT2/fEvjv59wj2t/6QeKFmlmPta6x7L2VmBpd8HTyGumLqn1LTUdHzQ4zM8W+klfD3mW3z/+Sp8NmgmnizaFyu/+gU+jPY9CDgULan3/Lof549e9FQk8ZmdA9tX78bFk5fd0xIu+Z5XvV33Old3Gf6YpyKjsuKOwwGHzY4eYzqp0l88eRnLp63Wnb893Y4JvfTvJ4koa935QWoAqi6kTQvsImyODeYKNr1IFkAqC6AGgJIAigO4B0BNQNIqkDVa3yBod79ttiDSBveNkl6hpiTB0+Wo6zuAOlipfLkCYco8nIX/4GMaVIF1KRjG3XfnlQOSqjyHQm5tVAVACeerlMF8XLzHE3XxCnBIEYBUG3KFgxjIBeklAdQGpFjftKYox5Z0BRb8Ue4XZvZvyWueDvgEutxJvQNeLrEa8/XqfldrPgEFbMzut5kpaDeTH+W6C0A6CVVrcfesJMi9APgW0slSII+rvQ/AfgBnAAReg9d/PvVO3a7p/zqXfxxypZ1CJuZbMhN5ykj3wUaBFcBTYcLsb698QDBzeXOdu6yQA5R+tq3fQOR16FaiMLV8fz1YKPLk97j1ftjTrUIKda8Zyjz4W0awV3CzoJ88uxQ2+FxJQN6GRyHvu/+6MhDAPLyZCXg6z8NSJORrdEXI1+iSAKoDUgWv9TZb8S0zAfp0ZKxiDQD4OW8BkMeDz2BlDikSxsd6QfhUjDN1znJe06QwGG+7gpkItCPj9xoBMfv764+NGpAsuRaTPr1739zwItKSgQJgAQASlnm1arOl2/BY9NN467EPcP1CPGzpdty4moQPe36B1mHdcMu7EF7SD7wqx/p0ObX/jJ+Wkq6MCVWXjJ8O+NJwdb754HufaYVdLbL8FZArzqsbvvkDwxq/hW2KMbQTLiVi9pvfYMhDb2oEqk1sd9WyhXs8POU2U287CRaL5xord6/pf1slXvVUIPvnj4OKQK3edzxSk9NMBS6UQeYiZQuh3L2lfLq+dQXZhN2OWg9XR568GR9G6eCOo8aJAPz9qyc4JrcQ819pQKul7LtdJ6Jrseexf/NBpNxMQVLCLSydvAKtQrth18Y9qrSSRTJYhg5FQEI1Fq7zlZ6iDor0qTbMcJadCvVW/b1k8nK0sHbBl8Pn4tD2I9i2cge6FOqDrsX7+YwHvPOXfwBncNo72OWaJmwOnD4gdy+enOgaFsmgUobG57duJOP7z1fhxfqvo1fFwXiz/fv4c8UOzXNGkIlubdMU2+rzwTMN0wPAwLoj0aviYAxt/BZ+/t96pCan4oU6r2Dh+O990p7efxadCvZBwlXPs+DBbUfQOa4PLh6/rEp7/uhFPJ63F47uOeG7UFMBQZnflqsK8ec9AZxVX61H6q1U6I4dLOR9wmeiyf3XvZ31KrAo5jVzxAI8Vbo/Xnn4baz/5g9VMMv7O7bUNKxf+LvGR57zhyoY58zD1Yvx6rT+uHs4kP318y79tApP5H8WPcoPQvuYHu78+lmI6q+/TIwrDgB7f/tXc7o1xGSvn3r7lVFL5kDGYlVsd82W5851v+78TSrUKuPMgvYyJEny9AiSCSu/WodBdUdg26rd7kfNMwfPY+yTE/Fai3c0l7/ss1U+07yl3ExGgjOQvMir1bOWWwm3IITA3i2HFNtDa91dlaQ8U47uPgF7mlGDHmCnouIHAMDm0P6NHQ6E5fGtuPFJ/xlYN1/uXt9hl4dLEEIgLSUdk/pNwx/f/2WYB3+O7D4Ow3OJEDixP3Otlh+LftozlIPXvCEEuhfvr5o8Z/S3hvM8uO0IkhL9VyghY8LZ20Vue1H2yh1BaikWcqExYO4mSavAPiuYeXDyDgwqPwoFpMKAVBSQ8vopPMwH/UC1FXLr68z8dKEwLLgSAuoxPZWtlvwVgikveGbGQPYev6QU9LdzBIAy2h9JEiBFQR5jvAggFYL/oJsrUAPF7+AK1kjwCVK7l5MfkCpCHuO8sM7v4KrMIMGn61xlQEpS1DiUgiB3war3uxaHOhgeAnOFj97Bdj+BNvdnymMsUZEn5ffM7D9mmQ0EZCZgEAH/eZag3sdvwHhM2ySoK3IA8j6/D/IY2ymQWwJfdE7TrpEdGOU6WDRerjS3nMu/BuCAc//z1yqwFDLXTXokzO2PLgYBFPd0129udugF72C285jW6sJa2TJaAiDZFYEdq+/L0GXjJIBnuarlK4PFgM95wNRxq7yB8hNIVXW/5uptQzKxDAfk/co1LQRyZSu93720fE42xVXp4zDk8XNTnMsyKtgTfpYPyOdUf/cCxaAKREoSIMU4r9GFAUmr5r3Ze4vMBKkjYO5eR2u/TDDxvfPGSXSVh/65OBa+PYko0+qds6xQr0tZqO8llKIhV0QLlPd+ksF7DdPM/A4SzN0nGc3DDyGQW271ieh2yppWSXabHVt+3Kaa1rlQb6Qkad8zO+wCj+d/VjUt8coNzQCc50vqglXJYoGZgk27YvxlZWtZPam30nxaev/5s7mgASQJCVcT8d5Tk3WTHNlxHP976xvdzwOianjqDFQruuhOUYw76zDRAjlFMUZr6k1XMPH2SU9Lx3GtoJzC3t/2Z6r13OZlf5pKt33N34q/TBQ+euVpzuhvsOlb/W7vX334XSQptm+mAi3O1mDuVneKY0M4Aq+8nXTdcx+/fMYaTBs2RzPd1XPX0SFvL9W0f37/18TzvaeL5SsXMnZ/c/HkZfS792V88dL/cOCvwzh7+Dz+WrkLb7R7H+O6TYbdqzW4zUTwJkTRwn27yeDjlTNXcfbweez74wA+7jMVz1Z+CUd3nvT7nU5xz7nfD6o30m/aF2oON5UPXSYPlZQkT1nFznV7/KSU/bnKcw7MytasagJXzlzDpVNXsGfTAVO9Jpw/riwz1MiXRl7PHZf3xdNHzsrfMax85Pl86tBZhnnSyERAaf75zbfLfi17Nx/QnD777QWmvu8/O9p5tlgtKFHJYMgmFTOVcQSO7zsNwNlriUaPEZ7rm0O35bBZl85cwaR+03U/3/XLXsx8a6HP9OOKFsn+XDxlchxup5SUVETHmm3M5NkmF06YW86/Ww+530/sN81vF9WfPD9d1VvEhROXsGb2Rr8/4fThX2fqnHBi72lT6S6ZXF8t1y5egz3deL9R3uvtWm98vwgAx/f6P/8TUdbIPSVXUlHILWXzwTgYUiCTQVy9PChbnnnnQTk90PGFvWclAVIJyN2P5oMcaIyAHKi/F/rdDJvsysZMCxvvYKWUB+YCRcrgupmHJ+9xhq0AKkFusRwNed3zQC60roKAWk9JhSF3013AOZ9wyONjKn4f5bZQtUrMTIAhVbGv6CxDssAnwCnlAXAv5EL+CGee80Neb6+bRMkKc793XsV7k8eE6thxtQDQ2FcM9x+TpAgYd3Efioy11nWJg/ZxC8V05Xg2Zls+K9PdAnBCJ52A3Ko5K1tU69Dc9uedx0MZeCo4SJCPraqQK3VkRn4EFqQ2wR0YhRxANkVxfpBi1XnSOu/pdeWYId4VFvxQBoa9l2sqIG7Ez++ZqZaVXvuvFAv5nFUE8vkoDHLL0GqAFEgL0cvQD9YZVS7x97EFkO6DvD2UaUMBVAIks0MzeM3TsLcTK4xb6vpbhiv47u9B0LtijYuZh8dMjFEshQCoBqA05HOyq+XzPfLL595Lq9cXb3m8joVgyNfuMoplREMOkGtV0jNzbfMeuiEL7zW0SEnOZRhdd7Kgdq7htfh2VNokov8qW7rnnuxG/E3cjE/2kxpw2BzYt8VTyO5uneVq+eYMwOmNkxmd39z9f/ylePf7tBRz1zmb1xi7339i3IIKACAE5ry9yPCSu/Tj5T4tUgOmPMcLxUuRFyWHiXGDld0f37hhZjidzPnjh22G4xknJdzCIZOtobUouwj159r5ePf79OTA74fmvbPEMM1LD7zufr9q9oaAl6GiaD2tmqxo5ZiRfezTAV/5/Tz5RjJWf+3J+4UTF/2k9ki4HC9//3oAz0VOQgi8/fiHuHL2qmo/dzgroGxavNmn1aJy7HM9cmt2WVqAv7lrO6vGq/fD4XBgwfu+Qwlo+XHGmoDyklnH/jlhmCb1pqfCUcK1jPQSFlgQy2wgcsvybcaJvCRdlitlHNqlOK9oBdk0jq8rpzPY61QATv171lS6P37QroBzZFtmg2aKHi0ULEEWhEeF4Y2FQwKfl4HNP8mtcX9bslWe4Kx4o+opxHlfIOyB7UveBtZ9zTDNonHLMjz/3d4tlw0kJSVh84rAWyNfOnnFVLozBz3709o5vxqmf731e+73vyz8zTD9+aMXcf6YueuAlsunza1H4tWMnHdkvasMMZXujdbj3e/jL5qpWA6k3Aj8mkZEgcs9QWpAbpUllYf/FrIhyFj34Ga4gpvKVm/KrlpdQYbMtEhUkPLI6yvdC0jVnK27/ATATS/XxM/uGk9GxahlUVGvwmMzwRCtIJEFcovlSs51rwxIGax4IEUCUlnnfKo7A3UOjXVzpXe1qsyCVq+GrUQ1LnRSiBw4kao581wO2q0RBUwFGiRly0ezlSeUgb4MVrjQ3H/8KQ39/VKSP89UcC0f5ECK93HrOnbzQ93SOCMFSka1/gTMt7bVYxSU8/f5RUCKA6SagHS/81UZWTK2thSEzHUXrsd1TjMZuFXtr87jy/A4zCpZEFx2jXXoPc3sd90KQrc3iEzVitdYRykUkEo4z6/3AlJpmB/yAJCPC50Hnqz6jaRSzv29rvNVA9pDbZjlCsprtQy2ACiR8XMnAO3eKzRotvQOZP4ZJFnlSghSFedvXhG6vcNI/sb0ctGovCNZnOcr1zIqAVI+nX3CzL2PRuvvrLzX8OHqPt/VW4F37wyuiiqZbaVioiU1u/wmoixisVpQud497r/1xsD1NqLFWP0PNQIESsunmwvkrJm90f3eTBfAABASolWJx+C86czrihnrTC3jyrlM9pjhb/sYjnGtTRXEz0S9NbMWvrfUVLolk7y7Gjbv5nUz9xvw6SY7EGZbkZ1UdFc6ZeD/Mrw8s27eNLfuLmcOnzfVle8Xgzx5t6eaqzC85ms5OBJVMJBnAdm+Pw7IXdvqVGgQAlj6yQpnl/Yyi9X4nk3c5p4ClFZ+vQazXl9kKu1nLxgPS5CVEq/cNE6kcGjP4duUk8CdP5zx4NjkXjOc7xT7gU/lj+zbRwIljDsLyMzcnf/J/4fnCUPbfs0xdccHKHtvqSxf2vG/T2lkQXjGzM5spS6F+AsZD3aaMXNEYC3Zf1++Gft/OxLwcr7/YqVxIgDH98jbNvmWuWDq0d0n3O9XmryfOawYViVQ//yu3W29tw3f/JHhZSRd919pUouZ3jgA4NTBzHVDTkTm5K4gtYtUEHLrF2UBrQS5xWzlTBYO+xMKw9Y1koQsG2MwYDqFxEpSXsjd3cJElzfeLY9iIbeW8t4GrkJ57y5hzNR8z0ygICOum4udZ3TMTgByF89mZKZUIBWQDC6okgS522qX4nopvRRXv1d2BaxsjWpyvDZTpAjIrdq8W7BHy9Mlf11Vm5m/BPmcURTq/ToY8vqWzoKCfDMtETJ5s5ypgLLRuGuZJMVB+7ycF74trUNMFABa4GkpGmS8D0iuZbmkZnNwxkyLUZg4R3u1sDbdM4eiMEiSIPc8Ehv48nUZdRmfUekw7lrfj5wIwElBkM9XBaDer8MAlEVgrci1WKEe3kErD977uzIPRrS+d7vcMLHPp8D8uPNa3zfRat1MmixldniKzLbYNtN9IYPUmeaubJALX0RZyGF3oMOLrdx/XzhurlvG1FsZv87v33zQVLqUm56C2SJlzfUQpNsCVS8wrAhomGmxDAA71hh3seufV2BFlY/c4fqFeFPpTh0w17Iwp2RHq/OMkAI812/5yVyr1NRbgfcA5urSNfFyYIFzAPh7435YDFpGJ1xOdHcpDpgLMAQFZV+PMnPfNteKOje4cur2tybOfgLqMYEzVtHn7iJvg5/TFuLH+Dl48bPeKFLm9pRnK7ve/69JS81Y2W/CpcCuO8f3alQEMFrGZXNllDvXmesaW4stzdyz/vVLt7dyQUZtXfF3Tmch9xNCHi88N71y2f323SD3ll5IeSEXwleH3C1kTcgtuG5XgNqlqEYQwZUnV7eKJoMVWS4SPt1murjGH0Vh9TS/tFoexQBSTcjdfZaFXCngPmh3F2xm3MiMjC15pzNbIJwFh5/Wvqg7tmwYjFuchUMdxNUIeJjpLj4jpAhAugdADcjHdg1AqpDJwKxy/hZnRYoakM8Z1SB3n19YY13M/jbK72XHBay0wfknh2mel8sBUhn5Pao6P6sOv/uiJMG3y2qdc697WixMD3mQ5YIhByxvB7M9ZHilkyyQex65D3I3yeUg7/MZVQS355bB4Ljxt7/n5D4vBcv3HKr9uiogZdX1v4jBsR4N7e6+jXo0kOA7bnQ2uK2/YZzz99BbRggy1f16hpjtWSGzPTCY2YZZMYQAEf3XKLvIdbVW7Di0Leq2vs89PbqAucprQSEZPw+VqW6uNVdohOe5tZKitbeesMhQWK16+dIIBmewxV1swayokO0KrCjy4Q60BM5MF8lZKW/hWFPpipfPeG94RsHNrBAZGfgzactBTW9DTtTy5AksX/fcV9ZUOktQ4MdtTJxc4bxGkyoBf1cIYa4URXFcxhaK9ZtUskgoWPJ2PaP5av5M42xb1u3WtEujnM4C+ZPFxR5WE70SZFbv95+67cu4U3Xs0x5x5WID/2KAj8rFKgR+HQ0JM1felDcT9zNhkeYqcBcskd3P7OaUr3U7eo0kIm+5N0gNOAsfQwEpHFkzjqcZBeEO9Pq0MHWNo5hTXK1FYxT5cnYpCavzM9dDTCZbOUthcmG83wBiuHOZWldWCUAFmA/AZBXvlrp6YrNhGWbTaQmFultuSafA3/t3rgL9lpmhACpmIk/eMhh8kIKdAevbVOFEsjjPGWF+CvfNHB8S1GNpmymoy2xLVGdLTUDj/GMkAhn+TQKhd16WrM5poc78Vob+8R8HudW7kmu8WFc3uRbFesfCdziCrC6QkKCd3zDIx01WXoOUl2az6xGnPVmyAFKsXIFACoPcAlhvP4hVflHxvghuXw8hITDVWlx3f8/MeTQL+OzXWSUScuUCq3p/lyTI66xXwJgHgF6BvgXycZedt36Kc6nubxiGzB0/QZCPwVCNZdyO49MMsw/YmW3VbqawILt7rCGiu0H1h6ogNCIUwaFBqNawEkYvHY7nP+oBSXH+nvj7O6bm9fL/+mc4H/0+esZUut7jurrft+jhP1BksUho3aeZz/TZRz9R/OVsYSccXi3vZPmKxJrK1wNt6phKpyU4j/f9kXbLvx9vznW/z5PP+BmmaoNK7vdlapbOcP7MemlaP1PpBn3xXIaXMW7lCHN5md43w8vQr9SgFqX4DV75dECGl+dP15EdMvzdmk3MVVp95KmG7vexJisaTNn1PgAgrrC555fgUM8+Xr1RZcOxy/PkjUTxip5nxFa9H/bb5bdwCDQ3OB9kpT5jn8HAL/qYSjtq0eDbnBu1kPDAylbCw3Oq8revhzo+EPB3+szoBgBY61ic1dnJEhXrlTeV7pU5L2hO/znxmyzLS5lamWs4FF3QTNkZ0KF/K+NEWURZ0e52WJW2MKD0VqsVCw4H3sX/6/MGmUqXv7hcUT4m1lx5Y76inmfQR55+yNR3urzW3lQ6LcNmPG8q3egfjMcS1/P6ty+ZSle3TU33+wLFzTUw6DnmyYxkiYgClLuD1DmmGOTWmAXgbr2M8gDuRaa7bsw0qzMvVSAHeQpBDt7cC3VhvlE3aBZkTZAnFnJLs2KQC6ujIHevXBO3p+tYIyEwrnaY2XUPgnYLNyUpk8uQYBw0CoVv4bQV8r5wD+TC+2DI26Mi5FaWWg/fGc1nDrTWyzLhMN4/80N9vJsJ4ukEEgOSF/LxEwdPgC8vjE/n5ro+zD5BkFuf3gNPq9D8zml6NRXzQj73loa8PkUhVwwqB9/1z8w4Snmc83ed30tDbpFczZnfIs5XBcjnWrNd+wLmKsAojx0zx58E8+fTSMj7TwnI5+NIyOtSC/J2vNf5WSHn//dC3s6360HPzLnMnzttv85KMZC3fxl49vcqcAevdRWA/HsWhvz7RkE+Hmoh+3sbyAfjAHFW/IZhkM8FmT0+s4p3ryR6vCvjBMro2MnsvQbJpFz8IkJA9XQsVglV6lfAx+tHY/nNeViZvBAfbxiDBh3qqgLUAFC4REFYTbS2fKSbpwC0QInAKueEhoWiSFn/5zrJIuGxAZ7C76oNKuGBdrU1C6ktVgui8kah08vtfD4rVsbcObnXhCfx+fb3DdPFxEWrtllMnPG9WpUGngrDK+Lnm8pPeISn56sBk581TP/K/zyB0xk7J5hahsVqMT3WNwC0GdDc/b5KvQqIjPE/RnGh0nGILZDxiod1mtUyla5t3xbu908MaWOYvlwt9fNE7eb3Gn5nyl/jTeUlM54bp26R2Ps94wL0Cb+Odr+v18Z4e70yc6D7/bdnZ/hJ6RGb1/MbxploEfe/A5Pd7+9tXAWlqpbQbekvSRI6vNgawSGeYOvjg1ujQLF8mt+RLBLqta2Nmk09QfnsCFh26N/SVLomnT0tlT9a/6ap71isFkiSZDoAtzTBM674G4uGGqZv0KGuqflmtzcXv+x+33dOd1PfebLPExle3u3aT2q19jRo+nyLufNEy2ce0ZxuttKMGTN2TNScPmbVq6a+v/DkdMM0BUt5nkdKVr/95YTvLjeuuFRIo1vzN1cPMzV/1zACi64YB55DowNrmPVjkqfiWdNu5irZfHPK8xtUbWDc8GjGXs9vPmBSL8P0cSXyIyLSU44QHG68/w341DPfxl0aGJ63wiJDUah4xp9bm3ZqaJwIwLifRrnfz/x3smH64PBghIbmRHnCXcY1lE5ue1G2YpA6w4IgF/pWglwQmsOtuXyEQy6kLQa5kNj7p46FqutvFVeL7KwKuLu6Ga/ofBXSyE92qmCwfOMu4owZBRHKG+TBjMLQD3gFQb8VOyAHBatCDoBUgf+Ww6UQeCu0YOT+4FEZ6Ac3IuE7xnck/HdfXxrmxos1wwo5kFsd8m9YFvI+pfd7F0T2jkMbiGjIx1wlyNvI6CbeAjmYXQzyOc7fNjU7DrtSCORtWRye87urkEVy5reo85UHgQcBysH/8RQB38BTBYN5Vg4wDxbnMipCXsei8JyPgp2fFXP+f7uH0ADkc4Xe/unvPFkMOVPZKTtZIF/DXfu72SCzxfmdSpB/55wKVFrg/3pXAFnXFXdWHJ9ZyairS3PdbfrnWl8tknMZ2d1jDRHdadamGxe4u4KpRcsVVgUEjPx0c67fgsdvL6oLcBeeNA52eQcIZh38VLeFsCRJmH3oU59pby4ahkd7P+wTvCpXszQm//4u4oprX3sWX57pN2/WSAueerkT4orkR4tnm+ims1gtWHROva7fXfyfTmrnd4IkfPLbWNV6vGvQQnhVqro1V7OnH8JjA/WDZK/8bwCKlFE/oxm1Pvr49zF4+o1OeHxwa7z8VX/8eGMuogvoV8jOVzQWQz5Xt56ef2oKQsK1r0fR+aN8fkMzQSLvNN9e/Mpv+nknvlD93X9iL+QtpF+GExwajGk7PlJNe3/1m35bXj05oj2KlFWXsay2LfKbr0DNOznFZ1q3EZ3wQPv7NFLLnnqrI2o28gTIxv70OsrV0KnQKwFf/vOxepIkoduox/3m66db81R/Lzg5DcF+xqBt+0JzFC7leeaRJAljlg1HTFyM5nAD9dreh+6j1IHH6Px5MPn3sajRVN06PCgkCG2fb463Fr/sU7mmYZfaftcD8LTClJz1vYpXKII8cf4rWij3x0WX/O+LS66rzwU1mtyLas39B5Za9G6Mpl0boGHHeuj1TldM3/eh3/SheYKRJ4/nOal+2/tRr63+uhcong+jlw5XTbsdwVpJkty3567f1l8FmAVnpqr+7vKM//0QAEZvVAcaV6YuMPyO97rmK5P15bsfLh+t+nvcz/7P799cmOb3c6Pfx18vAy79Jj2t+9mDLe9H0Yr+K4mtdSxGSGgI3vbad5QiYsIx/7jnd5z592TDfGV236v36H2o1qiS7udBIUGYd/QLn+kPNa9vOG9lK+p8+WLR451O+oktwHJFhTOj9WrQqQ7Cw9XlW1/++7FOalnHV9QVrib/Nhb5iuiX/fWd8DRiYj33VJIkYfzqUbrpQ8JD8PXRz1XTVib5b8lfoGRePD5Ina/5J6foPppbgyxYfEl9/5WR+4BZRz7RSSkb9c0Q1d8RkeHoPNy30qLSD/FzDPNBRFlDEoJVA/7bbgC4BCAJ8hUjFnJg4m6vKeQAcBrANed7V+F2CWTdujsAnAFwVbGMPM5lZFWwUgCIB3AZQArk4Fc+yAX/WR1cOgIgwUS6fPDtejm3skP+/a4AsEEu7C8A7YofLkmQj6mbzr+jIR9T2dGCMRXyvhAPeZ9zBTxzOliTk64DOKYxvTDk3ygJ8nFkhaeb8ezYVschn39cJGee9AJOKZDXI1kxLRJ3TxBKQD6/XILvuczunJ7gTBcFeb8217UY3QnSIJ+brsNzboqDfH68m89NdsjXzpuKaWGQr5H+CzsDcxOe646rS/iCyLp7jf+mxMRExMTEIOHyT4iODnws0pyWmJiEmLh2SEhIQHQ0u30n4LOXvsSPn61RTQuJCEax8kUQkz8ajzzVCE27NUBoeGDPQkIILJrwA2a9sRAOmwMWi4R2A1ui/8Reuq29nr/vZRzbfUo1LTg8GCuTtIMJQgisX/AbvnhpFm4l3kJQcBDavtAcz41/StWy0tu1C9exY+0epKfaUL5WaVSoXc5wfVJT0tC5SG8kJ6Sqpr+z4lXUb3W/atr2NbsxpuNHSEnypK3bphbG/jjSJzjm8tXIr7Hog59U016Y1BMdX2qrmT4pIQlDGr2JE3tPu6d1erkt+n3YQ3cZB7cfxYxXvsbRPSdgtVpQ8+Hq6DehBwrpjM+blpaGjvl7q9ajcNmCmHvEtxDfZfGk5Zjxsrrw9qWpfdD2ee0guRACK2asw5y3v0FyUiqiYiLQf3IvNO70oO4yWufpivQku2qaNUzCz7e+1Uxvt9sxpuNH2PLjdve0Ws2qY+zyEQgJ0b5fXvzxj5gxfK5qWpsBzX0C7Uo/TVuNGcPnurdX4bKFMHrpKyh3b2nd7zS3dNb9zNuKlPk4uusk3nrsfdy4fhPW4CB0HdEBz7zpfx4Htx/Bh72/wKm9ZwBJblH36qxBKFpOu3HC2SPnMbLVOFw9ew3WYCvaD2qF58bpt1S9cOoielcagvQUm3ta2RolMW3nR7r74pwxizDvne/cvdRH5YvE+z+/gYp1tLs7Trx2A6u+Wo9f5m/CzetJKFahCNo+3wINn6jrt/Xo2SPncWj7MQSFBKFG4yqIzq9fkfX4wRPoV9k3qDb/7DT8vXYvVny5DhdPXkLeQrF49NmH0bzHQwiPCsfezf9iaMO3VN8pV7skpm3zDSIJITC8+Wj8vX6/e1rtljUwfuUo3W11/UoCuhT07S58ydWZiM7rex1PSUlBuwjfIRFe+KQHOr6oHXj5e+NevNVhAm4l3gIABIVY8cKknmjvpytmvX23cv178O+Ww+6/C5cpiA/WvokX6gxDcny6T/rv4+dg7ZxfsW7er7hx7SaK3VMEbfo1R/3H6uDapXj0r/UaEi4nwBpkQe/x3dF56GP6eYroLD8yevn26gzkzesboBNCoIW1i+a89IJh+7cfwkt1fYN3U//+ABN7T8eRncflsdQtEu59qDJGf/8aBj3wKs4euKhK3/fjp9BlaAfNZaSlpqFD/p5Iv+U5pvIVicGCU9NNt5betHQL3u3kaRkbHBaMfIViUa1RJbQf2ArpIg0vPzja53szj0xCybLGlfr3bf4XQ7z2+yeGtUH/j3qppt1MSMLYrhOxY80eQADhecLw6uyBaPi4dnftfaoPxsl9532mZ2XliJ3r/8brrcfDnua5jjw5ogP6vOd/fOxPBk7D8qm/+ExfbVsEi8W3HFAIgR4VB+LCkcvuad+cm4b8hbUrxH08YDp+nrZONe27KzMRk0/7fv3mjSR0Kfgc0lMV10MJmL5nAspWLa35nc0/bsN73Scj9VYaIAGlKhfHpM3vIk+0dhlKwtVEvNX+Qxz48zAcDgeCQ4LQpl9zDJj8rO4566fpq/Fpf3WlnKm7PkT5Gtrlwelp6Zg2bDZWfPkLHDY7gkKC8dSbHdFtxOOa2xXQP//o7Sfp6el4qlR/XL/gKbsOiwrF3JNTEZtX+7qwb8tBvN56HG4leMra6jxaA+OWv66bLzLH9Tz9SMwzCJJyV7mlTaThl4S5fJbORgxSExERERERKTBITURERERERBQ4BqkpEDk9gDIREREREdGdSbLIr9wmN+aZiIiIiIiI7h4OByA5cjoXgRG5LL93AZZeEBERERERERERERERERFRtmGQmoiIiIiIiIiIiIiIiIiIsg2D1ERERERERERERERERERElG04JjUREREREZEmyfnKbXJjnomIiIiIiOiuIQQAkdO5CIzIZfm9C7AlNRERERERERERERERERERZRsGqYmIiIiIiIiIiIiIiIiIKNswSE1ERERERERERERERERERNmGY1ITERERERFpkST5ldvkxjwTERERERHRXUM4HBCSI6ezERAhcld+7wZsSU1ERERERERERERERERERNmGQWoiIiIiIiIiIiIiIiIiIso27O6biIiIiIhIi2SRX7lNbswzERERERER3T2EACByOheBEbksv3cBll4QEREREREREREREREREVG2YZCaiIiIiIiIiIiIiIiIiIiyDYPURERERERERERERERERESUbTgmNRERERERkSbJ+cptcmOeiYiIiIiI6K7hEICUy8Z45pjU2Y4tqYmIiIiIiIiIiIiIiIiIKNswSE1ERERERERERERERERERNmGQWoiIiIiIiIiIiIiIiIiIso2HJOaiIiIiIhIiyTJr9wmN+aZiIiIiIiI7h5CAHDkdC4CwzGpsx1bUhMRERERERERERERERERUbZhkJqIiIiIiIiIiIiIiIiIiLINu/smIiIiIiLSZEHurNebG/NMREREREREdwvhEBBS7uo+W7C772zH0gsiIiIiIiIiIiIiIiIiIso2DFITEREREREREREREREREVG2YZCaiIiIiIiIiIiIiIiIiIiyDcekJiIiIiIi0iIBkKSczkXgcmGWiYiIiIiI6C4iHAAcOZ2LwIhclt+7AFtSExERERERERERERERERFRtmGQmoiIiIiIiIiIiIiIiIiIsg2D1ERERERERERERERERERElG04JjUREREREZEmC3Jnvd7cmGciIiIiIiK6WwiHgJBETmcjIELkrvzeDVh6QURERERERERERERERERE2YZBaiIiIiIiIiIiIiIiIiIiyjYMUhMRERERERERERERERERUbbhmNRERERERERaJEl+5Ta5Mc9ERERERER09xAOAI6czkVgRC7L712ALamJiIiIiIiIiIiIiIiIiCjbsCU1ERERERGRhsTEpJzOQobk1nwTERERERHR3cGGdEDkdC4CY0N6TmfhP4dBaiIiIiIiIoWQkBAULlwYJUq0yemsZFjhwoUREhKS09kgIiIiIiKi/xDX8/TvF1bmdFYyhM/S2UsSQuSyugxERERERES3V0pKCtLS0nI6GxkWEhKCsLCwnM4GERERERER/cfk5udpPktnLwapiYiIiIiIiIiIiIiIiIgo21hyOgNERERERERERERERERERPTfwSA1ERERERERERERERERERFlGwapiYiIiIiIiIiIiIiIiIgo2zBITURERERERERERERERERE2YZBaiIiIiIiIiIiIiIiIiIiyjYMUhMRERERERERERERERERUbZhkJqIiIiIiIiIiIiIiIiIiLINg9RERERERERERERERERERJRtGKQmIiIiIiIiIiIiIiIiIqJswyA1ERERERERERERERERERFlGwapiYiIiIiIiIiIiIiIiIgo2zBITURERERERERERERERERE2YZBaiLK1UqXLo1evXrldDb8Onz4MFq0aIGYmBhIkoTvv/8+p7OEXr16oXTp0jmdjbvWhAkTULZsWVitVtSsWRNAYPtqkyZN0KRJk9uWPyIiIiIiujNt3LgRkiRh48aNOZ2VXCunyglOnDgBSZIwe/bsbF+2GZIkYdCgQTmdDSIiIiI3BqmJ7iKzZ8+GJEnuV1hYGCpUqIBBgwbh4sWLOZ29DNu8eTNGjx6N+Pj4nM5KhvTs2RP//PMPxo0bh7lz56JOnTqa6VwPtK6X1WpFyZIl8fjjj2P37t3Zm+lMWrBgASZPnpxl8/PeNpIkITo6GjVr1sTnn38Ou92eZcvKrDVr1uDVV19FgwYNMGvWLLz33nua6fbv34/Ro0fjxIkT2ZtBA6VLl3ZvY4vFgtjYWFSvXh39+vXDn3/+6fe7K1euhCRJKFq0KBwOh266xMREjBkzBjVq1EBUVBTCw8NRrVo1vPbaazh37lxWrxIRERERkV/ezxp6LzOB4/feey9bKyYfP34cgwYNQoUKFRAREYGIiAhUqVIFAwcOxJ49e1RpR48eDUmScOXKFc15lS5dGm3btvWZnpqais8++wwNGzZE3rx5ERISgqJFi+Kxxx7DwoULTT2PKZ8zJElCZGQk6tati6+//jpjK56Dsvp592508eJFvPLKK6hUqRIiIiIQGRmJ2rVrY+zYsbm2bMcM73I5vVd2NRrI7vMRERFRoIJyOgNElPXeeecdlClTBikpKfj9998xdepUrFy5Env37kVEREROZy9gmzdvxpgxY9CrVy/ExsaqPjt48CAslju3vk1ycjK2bNmCUaNGma6x3K1bN7Ru3Rp2ux3//vsvpk6dilWrVmHr1q3uVrmZ9eWXX/oNImbWggULsHfvXgwZMiRL5+vaNgCQkJCAlStX4sUXX8TJkycxYcKELF1WRq1fvx4WiwUzZ85ESEiIe7r3vrp//36MGTMGTZo08XlAXbNmTXZlV1PNmjXx8ssvAwBu3LiBf//9F4sXL8aXX36JoUOHYuLEiZrfmz9/PkqXLo0TJ05g/fr1aNasmU+aY8eOoVmzZjh16hQ6d+6Mfv36ISQkBHv27MHMmTOxbNkyHDp06LauHxERERGR0ty5c1V/f/3111i7dq3P9MqVKxvO67333kOnTp3QoUOHrMyipuXLl+PJJ59EUFAQnnrqKdSoUQMWiwUHDhzA0qVLMXXqVBw/fhylSpXK8DIuX76MVq1aYceOHWjZsiXeeOMN5MuXDxcuXMC6devQvXt3HDlyBG+++abhvJTPGefPn8dXX32Fnj17IjU1FX379s1wHrOb3vNuqVKlkJycjODg4JzJ2B1i27ZtaN26NW7evImnn34atWvXBgBs374d77//PjZt2pTjz7y3y0MPPeRz3ujTpw/q1q2Lfv36uadFRUVlS36y83xERESUEQxSE92FWrVq5W6t26dPH+TPnx8TJ07EDz/8gG7duml+JykpCZGRkdmZTUNm8hQaGppNucmYy5cvA4BPcN2f++67D08//bT77wYNGuCxxx7D1KlTMX36dM3vBPr75daHZu9tM2DAANSrVw8LFiy4Y4LUly5dQnh4uCpADQS2r3p/N7sVK1ZMtZ0B4IMPPkD37t0xadIk3HPPPejfv7/q86SkJPzwww8YP348Zs2ahfnz5/sEqW02G5544glcvHgRGzduRMOGDVWfjxs3Dh988MHtWSkiIiIiIh3e975bt27F2rVrfabfSY4ePYquXbuiVKlS+OWXX1CkSBHV5x988AGmTJmS6UrdzzzzDHbt2oUlS5bgiSeeUH02cuRIbN++HQcPHjQ1L+/njF69eqFs2bKYNGlSrgpS63H1aPdfFh8fj8cffxxWqxW7du1CpUqVVJ+PGzcOX375ZQ7l7vYrW7YsypYtq5r2wgsvoGzZsn7PJzabDQ6HI8fLAoiIiLLbndv8kIiyzMMPPwxA7gYMkB8Eo6KicPToUbRu3Rp58uTBU089BUAONL388ssoUaIEQkNDUbFiRXz00UcQQqjm6RrLaP78+ahYsSLCwsJQu3ZtbNq0yWf5u3btQqtWrRAdHY2oqCg88sgj2Lp1qyqNq0ukX3/9FQMGDEDBggVRvHhxjB49GsOHDwcAlClTxt01kquLZK2xpo4dO4bOnTsjX758iIiIwAMPPIAVK1ao0rjG+fr2228xbtw4FC9eHGFhYXjkkUdw5MgRU9vVaL1Gjx7trrE+fPjwDHfp5P376W0rlylTpqBq1aoIDQ1F0aJFMXDgQJ/utLTGpHY4HJg8eTKqVq2KsLAwFCpUCM8//zyuX7/uk6dVq1ahcePGyJMnD6Kjo3H//fdjwYIFAOTxlFesWIGTJ09qdmX12WefoWrVqoiIiEDevHlRp04d93cDJUkSChUqhKAg3zpXq1atQqNGjRAZGYk8efKgTZs22Ldvn892iIqKwtmzZ9GhQwdERUUhLi4Or7zyik+XdWa2jyRJmDVrFpKSktzr7hqPTLmvzp49G507dwYANG3a1Kf7QO8xqQPdX7/44guULVsW4eHhqFu3Ln777bdMj3MdHh6OuXPnIl++fBg3bpzPOWHZsmVITk5G586d0bVrVyxduhQpKSmqNEuWLMHff/+NUaNG+QSoASA6Ohrjxo1z/3348GF07NgRhQsXRlhYGIoXL46uXbsiISEhw+tBRERERJQRZp6VJUlCUlIS5syZ477Hdz0DnDx5EgMGDEDFihURHh6O/Pnzo3Pnzhke/ufDDz9EUlISZs2a5ROgBoCgoCAMHjwYJUqUyND8AWDLli1YvXo1+vXr5xOgdqlTp467PCFQcXFxqFSpEo4ePaqabvbZVAiBsWPHonjx4oiIiEDTpk19nvkATzfn3lzP1t6/QUafd/XGpF6/fr372TQ2Nhbt27fHv//+q5nHI0eOuHuRi4mJwbPPPotbt26p0q5duxYNGzZEbGwsoqKiULFiRbz++uu629mbv3KcDRs2QJIkLFu2zOd7CxYsgCRJ2LJli+68p0+fjrNnz2LixIk+AWoAKFSoEN544w3VtKx+dv/mm29Qu3Zt9+9XvXp1fPLJJ+7PA9kftm/fjpYtW6JAgQIIDw9HmTJl0Lt3b931N8O1n3z00UeYPHkyypUrh9DQUOzfvx9paWl46623ULt2bcTExCAyMhKNGjXChg0bfObjcDjwySefoHr16ggLC0NcXBweffRRbN++HYD/8xEREdGdgi2pif4DXA98+fPnd0+z2Wxo2bIlGjZsiI8++ggREREQQuCxxx7Dhg0b8Nxzz6FmzZpYvXo1hg8fjrNnz2LSpEmq+f76669YtGgRBg8ejNDQUEyZMgWPPvoo/vrrL1SrVg0AsG/fPjRq1AjR0dF49dVXERwcjOnTp6NJkyb49ddfUa9ePdU8BwwYgLi4OLz11ltISkpCq1atcOjQISxcuBCTJk1CgQIFAMgPs1ouXryIBx98ELdu3cLgwYORP39+zJkzB4899hi+++47PP7446r077//PiwWC1555RUkJCTgww8/xFNPPWU49q6Z9XriiScQGxuLoUOHurupzkiXTlq/n9a2AuSHrTFjxqBZs2bo378/Dh48iKlTp2Lbtm34448//Lagfv755zF79mw8++yzGDx4MI4fP47PP/8cu3btUn139uzZ6N27N6pWrYqRI0ciNjYWu3btws8//4zu3btj1KhRSEhIwJkzZ9z7jGu9v/zySwwePBidOnXCSy+9hJSUFOzZswd//vknunfvbrgtbt265R4/LTExEatWrcLPP/+MkSNHqtLNnTsXPXv2RMuWLfHBBx/g1q1bmDp1Kho2bIhdu3apguZ2ux0tW7ZEvXr18NFHH2HdunX4+OOPUa5cOVVrYTPbZ+7cuZgxYwb++usvfPXVVwCABx980Gc9HnroIQwePBiffvopXn/9dXe3gUbdB5rZX6dOnYpBgwahUaNGGDp0KE6cOIEOHTogb968qsoMGREVFYXHH38cM2fOxP79+1G1alX3Z/Pnz0fTpk1RuHBhdO3aFSNGjMBPP/3kDsYDwI8//ghAbo1hJC0tDS1btkRqaipefPFFFC5cGGfPnsXy5csRHx+PmJiYTK0LEREREZFZZp+V586d69O1b7ly5QDIXSBv3rwZXbt2RfHixXHixAlMnToVTZo0wf79+wMemmv58uUoX768zzO1GdeuXdOc7j0k1E8//QTAt6V5VrHZbDhz5gzy5s2rmm722fStt97C2LFj0bp1a7Ru3Ro7d+5EixYtkJaWluE8ZeZ5V8u6devQqlUrlC1bFqNHj0ZycjI+++wzNGjQADt37vSpPN6lSxeUKVMG48ePx86dO/HVV1+hYMGC7h6n9u3bh7Zt2+Lee+/FO++8g9DQUBw5cgR//PGHqfUzKsdp0qQJSpQogfnz5/uUn8yfPx/lypVD/fr1def/448/Ijw8HJ06dTKVn6x+dl+7di26deuGRx55xL3N/v33X/zxxx946aWXTOXJ5dKlS2jRogXi4uIwYsQIxMbG4sSJE1i6dGlA89Eza9YspKSkoF+/fggNDUW+fPmQmJiIr776Ct26dUPfvn1x48YNzJw5Ey1btsRff/2lGgLuueeew+zZs9GqVSv06dMHNpsNv/32G7Zu3Yo6der4PR8RERHdMQQR3TVmzZolAIh169aJy5cvi9OnT4tvvvlG5M+fX4SHh4szZ84IIYTo2bOnACBGjBih+v73338vAIixY8eqpnfq1ElIkiSOHDningZAABDbt293Tzt58qQICwsTjz/+uHtahw4dREhIiDh69Kh72rlz50SePHnEQw895JP3hg0bCpvNplr+hAkTBABx/Phxn3UuVaqU6Nmzp/vvIUOGCADit99+c0+7ceOGKFOmjChdurSw2+1CCCE2bNggAIjKlSuL1NRUd9pPPvlEABD//POP7wZWMLtex48fFwDEhAkT/M5PmXbMmDHi8uXL4sKFC2Ljxo2iVq1aAoBYsmSJ32116dIlERISIlq0aOFeTyGE+PzzzwUA8b///c89rWfPnqJUqVLuv3/77TcBQMyfP1+Vp59//lk1PT4+XuTJk0fUq1dPJCcnq9I6HA73+zZt2qjm79K+fXtRtWpVw22ht220Xv3791ct+8aNGyI2Nlb07dtXNY8LFy6ImJgY1XTXsfDOO++o0taqVUvUrl3b/bfZ7eOaZ2RkpM86eO+rixcvFgDEhg0bfNI2btxYNG7c2P232f01NTVV5M+fX9x///0iPT3dnW727NkCgGqeekqVKiXatGmj+/mkSZMEAPHDDz+4p128eFEEBQWJL7/80j3twQcfFO3bt1d9t1atWiImJsYwD0IIsWvXLgFALF682FR6IiIiIqKsMnDgQKEsMgvkWTkyMlJ13+9y69Ytn2lbtmwRAMTXX3/tnua699d6TnBJSEgQAESHDh18Prt+/bq4fPmy+6Vc7ttvv637XOV6KZ8FHn/8cQFAxMfHq5aRnJysWsb169d18+pSqlQp0aJFC/d3/vnnH/HMM88IAGLgwIHudGafvVzPv23atFE9D77++usCgOo3cK23N9eztausIbPPu67n1lmzZrmn1axZUxQsWFBcvXrVPe3vv/8WFotF9OjRwyePvXv3Vs3z8ccfF/nz53f/7Xoeu3z5ss/yjZgtxxk5cqQIDQ1V/e6XLl0SQUFB4u233/a7jLx584oaNWqYys/teHZ/6aWXRHR0tE+5kpLZ/WHZsmUCgNi2bZup9dHjfU5w7SfR0dHi0qVLqrQ2m031zC+EfEwXKlRItW+sX79eABCDBw/2WZ5yX9U7HxEREd0p2N030V2oWbNmiIuLQ4kSJdC1a1dERUVh2bJlKFasmCqd95iyK1euhNVqxeDBg1XTX375ZQghsGrVKtX0+vXro3bt2u6/S5Ysifbt22P16tWw2+2w2+1Ys2YNOnTooBqTp0iRIujevTt+//13JCYmqubZt29fWK3WDK/7ypUrUbduXVVXwlFRUejXrx9OnDiB/fv3q9I/++yzqjF/GjVqBEDuMlxPRtYrEG+//Tbi4uJQuHBhNGnSBEePHsUHH3zg072a97Zat24d0tLSMGTIENW4Y3379kV0dLRPl+dKixcvRkxMDJo3b44rV664X7Vr10ZUVJS7a6m1a9fixo0bGDFihM9YW1rdZXmLjY3FmTNnsG3bNlPbwlu/fv2wdu1arF27FkuWLMHAgQMxffp0DBs2zJ1m7dq1iI+PR7du3VTrYrVaUa9ePc1usl544QXV340aNVLtA2a3z+1mtL9u374dV69eRd++fVVdoD/11FM+rRMyytVK4MaNG+5p33zzDSwWCzp27Oie1q1bN6xatUrVJV9iYiLy5MljajmultKrV6/26d6OiIiIiCg7BfqsrCU8PNz9Pj09HVevXkX58uURGxuLnTt3BpQf1/OmVgveJk2aIC4uzv364osvfNIsWbLE/VylfBUqVMjUcqZNm6ZahtZQPlrWrFnj/k716tUxd+5cPPvss5gwYYI7jdlnL9fz74svvqh6Fh0yZIipvGjJ7POut/Pnz2P37t3o1asX8uXL555+7733onnz5li5cqXPd7SeTa9ever+LWJjYwEAP/zwg0/LdzOMynEAoEePHkhNTcV3333nTrdo0SLYbDbDVvWBPPPdjmf32NhYJCUlYe3ataby4I9rWy9fvhzp6emZnp+3jh07+vQSaLVa3c/8DocD165dg81mQ506dVTniSVLlkCSJLz99ts+883IvkpERJRT2N030V3oiy++QIUKFRAUFIRChQqhYsWKqqAlII9P5d3178mTJ1G0aFGfBwpXF8QnT55UTb/nnnt8ll2hQgXcunULly9fBiB3z1yxYkWfdJUrV4bD4cDp06dVXQaXKVMmgDX1dfLkSc3uzpTr4OqKHJAfyJRcgTytcZhdLl++HPB6BaJfv37o3LkzLBYLYmNj3eNLe/PeVq7fxztfISEhKFu2rM/vp3T48GEkJCSgYMGCmp9funQJgKfrceU2DMRrr72GdevWoW7duihfvjxatGiB7t27o0GDBqa+f88996BZs2buv5944glIkoTJkyejd+/eqF69Og4fPgzAM5a3t+joaNXfrrGblPLmzavaB8xun9vNaH91/cbly5dXpQsKCsrQeOhabt68CQCq88S8efNQt25dXL16FVevXgUA1KpVC2lpaVi8eLG7a7Ho6Gi/FUCUypQpg2HDhmHixImYP38+GjVqhMceewxPP/00u/omIiIiomwV6LOyluTkZIwfPx6zZs3C2bNnVWNZJyQkBJQfVz5c9+ZK06dPx40bN3Dx4kXdgOJDDz3kHkpLyTswq1yO8h68Y8eO7mfCl19+2WdMYD316tXD2LFjYbfbsXfvXowdOxbXr19XVcQ1++zl2ube5RJxcXEZrqCb2eddb3rP6IC876xevRpJSUmIjIx0T/f3zBcdHY0nn3wSX331Ffr06YMRI0bgkUcewRNPPIFOnTr5lPtoMSrHKVy4MCpVqoT7778f8+fPx3PPPQdA7ur7gQce8HnW9BYdHa2q0OzP7Xh2HzBgAL799lu0atUKxYoVQ4sWLdClSxc8+uijpvKk1LhxY3Ts2BFjxozBpEmT0KRJE3To0AHdu3fXLKMJlF7515w5c/Dxxx/jwIEDquC4Mv3Ro0dRtGhRVeUHIiKi3IhBaqK7UN26dVGnTh2/aUJDQ009wGQ3Ze3y7KDXaltZYJDdvAOxerJyWzkcDhQsWBDz58/X/FxvDPBAVekKZn4AAQAASURBVK5cGQcPHsTy5cvx888/Y8mSJZgyZQreeustjBkzJkPzfOSRR/D5559j06ZNqF69urs2+dy5c1G4cGGf9MoWxoD+PqCUXdvHyJ2wv+7duxeAJxB++PBhd8t4rQKP+fPnu4PUlSpVwq5du3D69GmUKFHCcFkff/wxevXqhR9++AFr1qzB4MGDMX78eGzdujXT42sTEREREWWnF198EbNmzcKQIUNQv359xMTEQJIkdO3aNeAWsTExMShSpIj73lzJVWn7xIkTmc5zpUqVAMjPAMqKxSVKlHDfz+fNmxdXrlwxNb8CBQq4n3VbtmyJSpUqoW3btvjkk0/cvWPdjmcvvZalZoPr2cnomS88PBybNm3Chg0bsGLFCvz8889YtGgRHn74YaxZsyZTPdMp9ejRAy+99BLOnDmD1NRUbN26FZ9//rnh9ypVqoTdu3cjLS1NVflAy+14di9YsCB2796N1atXY9WqVVi1ahVmzZqFHj16YM6cOQDM7w+SJOG7777D1q1b8dNPP2H16tXo3bs3Pv74Y2zdutXvWORmaJXpzJs3D7169UKHDh0wfPhwFCxYEFarFePHj3dXoiAiIrqbMEhNRG6lSpXCunXrcOPGDVUN8QMHDrg/V3LVelU6dOgQIiIi3A+OEREROHjwoE+6AwcOwGKxmApUBdJVUalSpXSX5/o8s+Li4rJkvbKaa90OHjyo6oY8LS0Nx48f9xv4LleuHNatW4cGDRr4DX6XK1cOgFxI4a8Gtb/fLDIyEk8++SSefPJJpKWl4YknnsC4ceMwcuRIn5r7ZthsNgCeVgSuPBYsWNBUsN8Ms9snELejCy7XPnDkyBE0bdrUPd1ms+HEiRO49957MzX/mzdvYtmyZShRooS71cj8+fMRHByMuXPn+hQa/P777/j0009x6tQplCxZEu3atcPChQsxb948jBw50tQyq1evjurVq+ONN97A5s2b0aBBA0ybNg1jx47N1LoQEREREZkVyLOy3n3+d999h549e+Ljjz92T0tJSUF8fHyG8tSmTRt89dVX+Ouvv1C3bt0MzcNI27Zt8f7772P+/Pmme78KRJs2bdC4cWO89957eP755xEZGWn62cu1zQ8fPqx6/r18+bJPz2iu1sjx8fHuLpwB3xbwWfG8q5VHvbKDAgUKqFpRm2WxWPDII4/gkUcewcSJE/Hee+9h1KhR2LBhg+EzsJlyHADo2rUrhg0bhoULFyI5ORnBwcF48sknDfPWrl07bNmyBUuWLEG3bt38pr0dz+6A3Jtcu3bt0K5dOzgcDgwYMADTp0/Hm2++ifLly5veH1weeOABPPDAAxg3bhwWLFiAp556Ct988w369OmTZXl2+e6771C2bFksXbpUtZ95d+tdrlw5rF69GteuXfPbmppdfxMR0Z3uzmtGSUQ5pnXr1rDb7T61YydNmgRJktCqVSvV9C1btqjGxDl9+jR++OEHtGjRAlarFVarFS1atMAPP/ygqsV98eJFLFiwAA0bNvTpvkmL66HNzMN769at8ddff2HLli3uaUlJSZgxYwZKly6NKlWqGM7DSFatV1Zr1qwZQkJC8Omnn6pa1s6cORMJCQlo06aN7ne7dOkCu92Od9991+czm83m3vYtWrRAnjx5MH78eKSkpKjSKZcZGRmp2WWdqytol5CQEFSpUgVCiAyP8fTTTz8BAGrUqAFArpEfHR2N9957T3Oerq7oA2F2+wQikP3arDp16iB//vz48ssv3cF7QA4k++vC3ozk5GQ888wzuHbtGkaNGuV+2HV1xf3kk0+iU6dOqtfw4cMBAAsXLgQAdOrUCdWrV8e4ceNUx6jLjRs3MGrUKADyWGbKdQDkgLXFYkFqamqm1oWIiIiIKBCBPCtHRkZq3uNbrVafHpA+++yzDLfmffXVVxEREYHevXvj4sWLPp9nRW9LDRo0QPPmzTFjxgz88MMPmmkyu5zXXnsNV69exZdffgnA/LNXs2bNEBwcjM8++0yVh8mTJ/t8zxUM3bRpk3taUlKSu2WtS2afd70VKVIENWvWxJw5c1T7xN69e7FmzRq0bt3acB7erl275jOtZs2aAGDqOcmoHMelQIECaNWqFebNm4f58+fj0Ucf1ewi3tsLL7yAIkWK4OWXX8ahQ4d8Pr906ZK7wvHteHb3LnOwWCzuytqu7WN2f7h+/brP/h3Its4I12+gXO6ff/7p8/zcsWNHCCE0e6Tz3lezssyBiIgoq7ElNRG5tWvXDk2bNsWoUaNw4sQJ1KhRA2vWrMEPP/yAIUOGuG/kXapVq4aWLVti8ODBCA0NxZQpUwBAdZM8duxYrF27Fg0bNsSAAQMQFBSE6dOnIzU1FR9++KGpfNWuXRsAMGrUKHTt2hXBwcFo166dZo3jESNGYOHChWjVqhUGDx6MfPnyYc6cOTh+/DiWLFmSZV2cZ8V6ZbW4uDiMHDkSY8aMwaOPPorHHnsMBw8exJQpU3D//ffrjkcGyGMtPf/88xg/fjx2796NFi1aIDg4GIcPH8bixYvxySefoFOnToiOjsakSZPQp08f3H///ejevTvy5s2Lv//+G7du3XI/1NWuXRuLFi3CsGHDcP/99yMqKgrt2rVDixYtULhwYTRo0ACFChXCv//+i88//xxt2rTxGd9Ny86dOzFv3jwAckDzl19+wZIlS/Dggw+iRYsWAORxq6ZOnYpnnnkG9913H7p27Yq4uDicOnUKK1asQIMGDUx1U5aR7ROImjVrwmq14oMPPkBCQgJCQ0Px8MMP6469ZkZISAhGjx6NF198EQ8//DC6dOmCEydOYPbs2ShXrpzpWtRnz551b+ebN29i//79WLx4MS5cuICXX34Zzz//PAD5YfnIkSMYNGiQ5nyKFSuG++67D/Pnz8drr72G4OBgLF26FM2aNcNDDz2ELl26oEGDBggODsa+ffuwYMEC5M2bF+PGjcP69esxaNAgdO7cGRUqVIDNZnO31u7YsWOGtxERERERUaACeVauXbs21q1bh4kTJ6Jo0aIoU6YM6tWrh7Zt22Lu3LmIiYlBlSpVsGXLFqxbtw758+fPUJ7uueceLFiwAN26dUPFihXx1FNPoUaNGhBC4Pjx41iwYAEsFkumh8mZN28eHn30UXTo0AGtWrVCs2bNkDdvXly4cAHr1q3Dpk2bfCq0B6JVq1aoVq0aJk6ciIEDB5p+9oqLi8Mrr7yC8ePHo23btmjdujV27dqFVatW+QRTW7RogZIlS+K5557D8OHDYbVa8b///c/9nOiS2eddLRMmTECrVq1Qv359PPfcc0hOTsZnn32GmJgYjB49OuDt9c4772DTpk1o06YNSpUqhUuXLmHKlCkoXrw4GjZsaPh9M+U4Lj169HA/52pVGtCSN29eLFu2DK1bt0bNmjXx9NNPu8t0du7ciYULF6J+/foAbs+ze58+fXDt2jU8/PDDKF68OE6ePInPPvsMNWvWdPcGZnZ/mDNnDqZMmYLHH38c5cqVw40bN/Dll18iOjo6QxUMzGjbti2WLl2Kxx9/HG3atMHx48cxbdo0VKlSRTUGfdOmTfHMM8/g008/xeHDh/Hoo4/C4XDgt99+Q9OmTd3P6HrnIyIiojuGIKK7xqxZswQAsW3bNr/pevbsKSIjIzU/u3Hjhhg6dKgoWrSoCA4OFvfcc4+YMGGCcDgcqnQAxMCBA8W8efPEPffcI0JDQ0WtWrXEhg0bfOa5c+dO0bJlSxEVFSUiIiJE06ZNxebNmwPK+7vvviuKFSsmLBaLACCOHz8uhBCiVKlSomfPnqq0R48eFZ06dRKxsbEiLCxM1K1bVyxfvlyVZsOGDQKAWLx4sWr68ePHBQAxa9YszXwEul6u+U2YMMFwfmbTGm2rzz//XFSqVEkEBweLQoUKif79+4vr16+r0vTs2VOUKlXK57szZswQtWvXFuHh4SJPnjyievXq4tVXXxXnzp1Tpfvxxx/Fgw8+KMLDw0V0dLSoW7euWLhwofvzmzdviu7du4vY2FgBwL2s6dOni4ceekjkz59fhIaGinLlyonhw4eLhIQEU9tG+QoKChJly5YVw4cPFzdu3PD5zoYNG0TLli1FTEyMCAsLE+XKlRO9evUS27dvV20HrWPh7bffFlqXSDPbR2+eWvvql19+KcqWLSusVqsA4D5+GjduLBo3bqxal0D2108//VSUKlVKhIaGirp164o//vhD1K5dWzz66KM++dLKp2sbS5IkoqOjRdWqVUXfvn3Fn3/+qUr74osvCgDi6NGjuvMbPXq0ACD+/vtv97Tr16+Lt956S1SvXl1ERESIsLAwUa1aNTFy5Ehx/vx5IYQQx44dE7179xblypUTYWFhIl++fKJp06Zi3bp1hutARERERJQZAwcO9HkeMPusfODAAfHQQw+J8PBwAcD9DHD9+nXx7LPPigIFCoioqCjRsmVLceDAAZ/nBNe9v9aztZYjR46I/v37i/Lly4uwsDARHh4uKlWqJF544QWxe/duVVrXc87ly5c151WqVCnRpk0bn+nJycli8uTJon79+iI6OloEBQWJwoULi7Zt24r58+cLm81mmE+9eQshxOzZs32ea8w8e9ntdjFmzBhRpEgRER4eLpo0aSL27t2r+ey1Y8cOUa9ePRESEiJKliwpJk6c6H62dpUvuGT0eVfv+WzdunWiQYMG7vm1a9dO7N+/X5VG77fxzuMvv/wi2rdvL4oWLSpCQkJE0aJFRbdu3cShQ4d0trxHIOU4QgiRmpoq8ubNK2JiYkRycrLh/JXOnTsnhg4dKipUqCDCwsJERESEqF27thg3bpzP839WPrt/9913okWLFqJgwYLu3/r55593P2e6mNkfdu7cKbp16yZKliwpQkNDRcGCBUXbtm1V+TIjMjJStT/6K/txOBzivffecz/P16pVSyxfvlyzDMdms4kJEyaISpUqiZCQEBEXFydatWolduzY4U6jdz4iIiK6U0hCZEH/P0T0nyNJEgYOHBhwrVa6MzzzzDPYsmULjhw5ktNZoWzgcDgQFxeHJ554wt2NHhEREREREZEem82GokWLol27dpg5c2ZOZ4eIiIjuQhyTmojoP+j8+fOmxpOi3CclJcVn3Kyvv/4a165dQ5MmTXImU0RERERERJSrfP/997h8+TJ69OiR01khIiKiuxTHpCYi+g/Zs2cPvv/+e2zatAnDhw/P6ezQbbB161YMHToUnTt3Rv78+bFz507MnDkT1apVQ+fOnXM6e0RERERERHQH+/PPP7Fnzx68++67qFWrFho3bpzTWSIiIqK7FIPURET/IUuXLsVnn32Grl27YuTIkTmdHboNSpcujRIlSuDTTz/FtWvXkC9fPvTo0QPvv/8+QkJCcjp7REREREREdAebOnUq5s2bh5o1a2L27Nk5nR0iIiK6i3FMaiIiIiIiov+wTZs2YcKECdixYwfOnz+PZcuWoUOHDn6/s3HjRgwbNgz79u1DiRIl8MYbb6BXr17Zkl8iIiIiIiIiyv04JjUREREREdF/WFJSEmrUqIEvvvjCVPrjx4+jTZs2aNq0KXbv3o0hQ4agT58+WL169W3OKRERERERERHdLdiSmoiIiIiIiAAAkiQZtqR+7bXXsGLFCuzdu9c9rWvXroiPj8fPP/+cDbkkIiIiIiIiotyOLamJiIiIiIjItC1btqBZs2aqaS1btsSWLVtyKEdERERERERElNsE5XQGiIiIiIiI7jQpKSlIS0vL6WxkmBACkiSppoWGhiI0NDTT875w4QIKFSqkmlaoUCEkJiYiOTkZ4eHhmV4GERERERER5U65+Xk6JCQEYWFhOZ2N/wwGqYmIiIiIiBRSUlKQJ7oQbOmJOZ2VDIuKisLNmzdV095++22MHj06ZzJEREREREREd72UlBSEx0QBafaczkqGFC5cGMePH2egOpswSE1ERERERKSQlpYGW3oiqtYcC6s19z2Y2u0p2Lf7DZw+fRrR0dHu6VnRihqQH9ovXryomnbx4kVER0ezFTUREREREdF/WFpamhygblQeCMplIw7bHLjw2xGkpaUxSJ1NGKQmIiIiIiLSYLWGwWrNvUHX6OhoVZA6q9SvXx8rV65UTVu7di3q16+f5csiIiIiIiKiXCjIAgRZczoXdIdjkJqIiIiIiEiDJEmQLJJxwjuM5Agszzdv3sSRI0fcfx8/fhy7d+9Gvnz5ULJkSYwcORJnz57F119/DQB44YUX8Pnnn+PVV19F7969sX79enz77bdYsWJFlq4HERERERER5VKS85Wb5Lb83gVyWVt7IiIiIiIiykrbt29HrVq1UKtWLQDAsGHDUKtWLbz11lsAgPPnz+PUqVPu9GXKlMGKFSuwdu1a1KhRAx9//DG++uortGzZMkfyT0RERERERES5D1tSExERERER/Yc1adIEQgjdz2fPnq35nV27dt3GXBERERERERHR3YwtqYmIiIiIiIiIiIiIiIiIKNuwJTUREREREZEGySpBsua+QakkkfvyTERERERERHcRSZJfuUluy+9dgC2piYiIiIiIiIiIiIiIiIgo2zBITURERERERERERERERERE2YZBaiIiIiIiIiIiIiIiIiIiyjYck5qIiIiIiEiLxSK/cpvcmGciIiIiIiK6e0jOV26S2/J7F2DpBRERERERERERERERERERZRsGqYmIiIiIiIiIiIiIiIiIKNuwu28iIiIiIiINklWCZM19/X1JIvflmYiIiIiIiO4mEiDltmfT3Jbf3I8tqYmIiIiIiIiIiIiIiIiIKNswSE1ERERERERERERERERERNmGQWoiIiIiIiIiIiIiIiIiIso2HJOaiIiIiIhIg2SRIFly35hUuTHPREREREREdBeRkPuGeM5t+b0LsCU1ERERERERERERERERERFlGwapiYiIiIiIiIiIiIiIiIgo2zBITURERERERERERERERERE2YZjUhMREREREWmQrBIka+4blEoSuS/PREREREREdBexSPIrN8lt+b0LsCU1ERERERERERERERERERFlGwapiYiIiIiIiIiIiIiIiIgo2zBITURERERERERERERERERE2YZjUhMREREREWmxWORXbpMb80xERERERER3D8n5yk1yW37vAiy9ICIiIiIiIiIiIiIiIiKibMMgNRERERERERERERERERERZRt2901ERERERKTFIkGy5sL+vhy5MM9ERERERER095Ak+ZWb5Lb83gXYkpqIiIiIiIiIiIiIiIiIiLINg9RERERERERERERERERERJRtGKQmIiIiIiIiIiIiIiIiIqJswzGpiYiIiIiINEgWCZIl941JlRvzTERERERERHcRyfnKTXJbfu8CbElNRERERERERERERERERETZhkFqIiIiIiIiIiIiIiIiIiLKNgxSExERERERERERERERERFRtsl1QWqHw4FDhy/jWvwtAIDN5kBySjqEEDmcsztPUlIaLly4CbvdntNZAQAcPHgZR49ezulsqNjtdpw9l4C0tNu3jW7cuIHZ83bg1Knrpr9zPf4WTp+Jv215yqjNm/fhvnpTVK+du/7Fnj3nce5cok96u/3uOD7T0uT95E45llwuXryBU6ficzobKmlpafh2yS4sXLQDDocjp7PjtnXrTjRpPgXLV+xUTXc4BJKTffdRu92O338/jmPHr93WfHXuPg/Dhv9gOv2y7/ehZduZ2LNnn+nvJCQk4+q1WwGkT8SXs/5CYqLvMX27pKXZcD0+2e8+k5CQjMtXbmZo/kIIXLx0AzdvphmmTUmxwWa7c/bdzEhNtSHddmedt/6LEhPlY+p2n6/PnkvAlQweI6RPskq59kV0txFCICn51h11j0lERERERDqkXPqibCWJXBI9Onr0Kp7pvQQpKTbNzwvGRaJLp2ro3rUGwsKCsjl3d5Yp0//E1/N2qwKvJUvEYPqU9ihUMCpb85KamoomzWcjNVVdSB4VFYJNv/TJ1rwo7d1/ES8PX4XLVzyBm4iIILw8pCEeb18lS5YxZuwv+OGngz7T8+cPw9qVvTW/M3jYCvz+x0nVtEJxkVg4/0nExoRlSb4y4r56U0ynLVgwApMmtMHsr3di/cZjsNsFCuSPQJdO1fBUtxoIDw++jTnNWqtWH8T4D39TBbby5QvHh++1wH21iuVYvp7osgAnTsarpuXLF44V3z+N0NCc2b5/bT+NFwb+pPnZrBmPoUaN4tmcI5m/fbd9u0pY9fNhpKXbER0dio4dquDB+sXRt7/vekTnCcHGdVlzzpq3cAsmTt6l+dnOPwdoTve3HlrfEUJg2Kur8NvvJ+Aqx5UkoPZ9xTDl07YICrL6fKdL9wU4cjTeZ3qlCvmwYG5X3eVnxpq1RzD5s824cPGmO4917iuGce82R4H8EQCA199YgzW/HIXD4bldubd6IcyY0gEhIb7roZR4IwXP9fseR495KhsEBVnQuWNVDB/WyD3NZnPgu2X7sPCbPTh9JgGSBDxQtwR69qiFunVyZt/NKLvdgaXf78eCRXtw8mQ8JAm4v05x9HqmFh6oVyKns/ef8trIlVi7/oTP9Pz5wrB2lfZ9QKBSUmzo1G0hzp27oZpe+76i+HJqhyxZxn9VYmIiYmJicH/raQgKDs/p7ATMlp6MbStfQEJCAqKjo3M6O0SZcv1GAj76bhamr/gWVxPjERIUjG5NW+O1J/ugcslyOZ09IiIiIiJScD1Po00VINh/2d0dJ90OrNjPZ+lslCuC1IcOXUbXZxYbprNIEqpVLYipXzyG8LDcEwjLSq+M+BnrNxzT/MxikbD8+6dRuFCebMlLamoq6j80028avYDM7bRjx1n0HaDfcrHvc3XQv1/dTC1j+IiV+GXDCd3PQ0Is2PrbC6ppbTvMxbnzNzTTSxLw67reiIrK/kB1IAFqJatVgt3uOb1YLBIqVSiAGVM7ICLizj8+5y3YjYmfbNb9/JOPW6FRwzLZmCNZ/Yem+1T6cJEkYPOvfbM9UL15y0kMGrLCb5p5szujSuW4bMqRLKP7rh6LBdi+JXPnrB9/3InR47b6TeN9XjSzHt7fadP+a5y/oN2iMjo6FOtXPwuLxdOZSovWs3DlarLu/AsXjMDKn3oZ5iMQs7/eiU+/0N4WoaFW/PDdUxjw4k84dkK7F4qI8CD8+stzsFq1b3YTElPQvNUs2Gzatzn31ymG6V+0h83mwPARP2PT7ycAAK67IqtFgt0h8NaoJujwWNZUXrrd7HYHRr6xBuvWH4MEwLXmFosEh0NgxPCH0KVTtZzM4n9Gv4HLsH37ed3Pte4DApWSYkPDpl+qKnAo5csXjnWrns3UMv7LGKQmujNcSbiOB4d0x7Hzp2FXtKAOsloREhSMXz6chQcq18jBHBIRERERkRKD1BSIXNHd9zO9l5hK5xACe/dfwuw52i3U7nbHT1zXDVADcre2vfsty7b8tH5svmGabk8vyoacqL04bLnfz7+cuR3p6ZnrHtVfgBoA0tIcOHbM0/X50u/36QaoATlo0u1p44oaWe3GjYx3G6oMUAPy/nfg0BV8+b/tmc3WbWe32/0GqAHglRGrsyk3HqPeWqsboAbk/eTJp77NxhzJjALUAPB0r+zdf9PSjLt1DpTDAYx+95dMzcMoQA2og9LXrgXe3fiU6X/qBqgBIDExFW+NWa+a5i9ADQAXLpnvLtyMGzdSdQPUAJCaakeP3t/pBqgB4FayDUNeWaX7+XPPL9MNUAPAtu1nsXPXWXz/4378+tsJCOEJUAOA3Rn4Gzv+V1y8mDu6UF6+8iDWrZfvA5Rr7gpifvDRJpzVGJqBsp6/ADUg3wecOxefqWX0fG6JboAaAK5dS8a0GX9lahkESBYp176I7gbDZ0zAsfNnVAFqALDZ7UhNT8OT44bdcUPyEBERERER5BZVufEVgNKlS0OSJJ/XwIEDAQApKSkYOHAg8ufPj6ioKHTs2BEXL15UzePUqVNo06YNIiIiULBgQQwfPhw2m7pH6Y0bN+K+++5DaGgoypcvj9mzZ/vk5YsvvkDp0qURFhaGevXq4a+/1GVCZvKSE+74IPWlSzeRnm5+zCmHQ+DbJXvvmvEkA/HW6HWGaS5cuImkpNRsyA1wPT7FMM3Bw1ezISce//xzASkpxoUY4ydsyvAy3hlrLojVubsnaDfpU/8BUQA46yeIfbs0bvZ1ls7P4RBYsnRfpisB3G5fTDMu1E9Pd2DTb8ezITceP685bJjm1OmEbMiJx4GD5i9kCYnG54Ss8kCjr27LfH9c7tuF/+3UrNU3ptIpA9sLvtljmH7NuiPu942bmdtWD7f03zNGID6f9qdhmkuXjQPjW7ae1pzucAgcO6Yf4HZ5972N+ObbfwzvP5f9uN9wXneCbxb/A4ufOztJkrB0mfnxzCljXhz6o6l07Z5YkKnlHD5ifA81Z+5/s+ImEd0drt9IwPwNy2F3aD872B0OnLp0Hmt3Gj9LERERERERZbVt27bh/Pnz7tfatWsBAJ07dwYADB06FD/99BMWL16MX3/9FefOncMTTzzh/r7dbkebNm2QlpaGzZs3Y86cOZg9ezbeeustd5rjx4+jTZs2aNq0KXbv3o0hQ4agT58+WL3a04hu0aJFGDZsGN5++23s3LkTNWrUQMuWLXHp0iV3GqO85JQ7Pki9eeupgL+TkJCC69f9twq7G506Yy44tXffJeNEd6nVvxwxTgTg7z0XMryMlavNLUPZYu/WrXRT3/GuQZMb3UxKw6XLSTmdDb/+2nbGVLp164/e5pyo3YmDM3zz7V7Taf/df9k4EWWamfOJsiLXjRvmWp3Hx2ddBaf9+7PmOqTXivTyFXPnmAsXb+L4iet+jy3hEDiczRWqMurokWtw+Kmj53AIHDx8Jfsy9B+1Zau5a0h2nNNT0+7sSmFERP4cPHMC6QbPP1aLFX8fy95KhERERERERAAQFxeHwoULu1/Lly9HuXLl0LhxYyQkJGDmzJmYOHEiHn74YdSuXRuzZs3C5s2bsXWr3MPkmjVrsH//fsybNw81a9ZEq1at8O677+KLL75w9xQ6bdo0lClTBh9//DEqV66MQYMGoVOnTpg0aZI7HxMnTkTfvn3x7LPPokqVKpg2bRoiIiLwv//9DwBM5SWn3PFB6pjo0Ax9LyQkl/V1nwWCgsz9nLEx2T+u8Z0iT5S5/Sk0E/tPSEjgh5VkshuJoKCggOd9J7rTj8/wMHPbOSIi5Dbn5M5XMC7SdNqIqDt/LPK7QYC90uSI0NDbew6INDnuvdUiGV47JYt0x5+zXIINrj+SBISG3h3XkTuZ2fsxIiLyLzzE+NlNCAfCTKQjIiKi3MnhcOCnrRvQ9s3+KP/so6j7Yhd8+v1cJCbljmG5iOi/Iy0tDfPmzUPv3r0hSRJ27NiB9PR0NGvWzJ2mUqVKKFmyJLZs2QIA2LJlC6pXr45ChQq507Rs2RKJiYnYt2+fO41yHq40rnmkpaVhx44dqjQWiwXNmjVzpzGTl5xyx5eiPdSoTEDpLRagerVCiPkPBmKbNS1rmMZiASpUKJANuTHHks3j5T3drYapdM/1ui/Dy5g5rb2pdMWKRbnfly4Va5jeXxeuuYUkARUrFEBcAfOBzZzQr29dc+meu/8250QtwkTgLbsDlM+b3FYAUL1qIeNEWST4NsXDg4LuzAhwmdKe80mJEjGG6fPnC3e/7/h4JVPL6PX0vYFnTMfj7atkyXzyRGlXFImKCjX1Wz1QryQealQaVqt+WodDoMlDgd2L5JQmjcv6XRchkGvWJTf7ckpbU+lKlozO1HLMBMMLF44yTEMGrBJgteTC1515vSIKRLXS96B4Af/3jw4h0LZe42zKEREREWUnm92GJ98bhsfeHoift/+Oo+dOYfuhfRgy7X1Ue/4xnLhwNqezSET+SLn0BSAxMVH1Sk017mHy+++/R3x8PHr16gUAuHDhAkJCQhAbG6tKV6hQIVy4cMGdRhmgdn3u+sxfmsTERCQnJ+PKlSuw2+2aaZTzMMpLTrnjw15WqwXly+Y1nd7hAJ57tvZtzNGda/jLjQwDVM2blTfdajez2rauYJhm2Iv1syEnHpGRIahQPr/fNGFhVjzycPkML+OeewqaSvfT0h7u959OamOYvn27yhnOU0bt/HNAls5PCKBPLjg+769dDFE6wS+XksVjkE8R6MsO48c2N0zzlMmKGFnFarUgyEQj07Awa7adewDgz9+zdt91mTe7422Zr1JUlOfSbPYYXLLIcz555+1HDNO/+nJD9/tRIx42tYzBLzY0TmRSm1YVkSeP/2OsVUvj8/DAAfV0P+vcsZrh9995+2H0fLoWhNCu4GG1SihWNA8eNlEJ7E7wTHf5+Nc60qxWCYUKRaH5Ixm/vpE51asXN5Xu+8VPZ2o5PZ+paZhm4gePZmoZREQ5yWq1YlT35/U/t1jQ+aGWKFe0ZDbmioiIiLLL+4u+wpLf5fFd7Q55KCMBASEEzl+9jA5jBkHciWPjEVGuV6JECcTExLhf48ePN/zOzJkz0apVKxQtWjQbcnj3uOOD1ACwaEFXREfrF2ZLktwi12KRMGL4Q3ioYensy9wdJCjIihlftNcNVFeuFIfx77bItvy883YzFC2aR/fzalUKonv3mtmWH5f5X3dCgQIRmp8FBVnw3aJumV7Gr+ue8fv5wP7qFrhFi0Rj6EsP6qavXKkA3ny9aabzlRHtWgde6BPt7KbfapXcx6bFIuHlIQ3wyMPlsjqLt8X3i5/S7bo9JiYU3y7sms05Aho1KI1Wj96j+3nVynEY9lKDbMyR7M8/+hum2fyrfgHj7fLkE8bBONc+6mp96i+O3uDBEqhgshKKHjNB502/vOC1XP83Nm+NekD1973VCqN/P/0W7k92robmzdT70f9m+G/5OXfWY34/z4j5szvr9g7QqEEpjHunBV4dph8Yb9OqArp0rK77+fBhjVD3/mK6n3884VFERISgWtVCGD+2OYKDrO77Cdf+UKRIHkz9/DEEB+eO7r4rVYzDhPGPIjjEd10KxkVh+uePIczkcAaUORvX+g9AD3nxAb+fmzHwhQdwf23988Nzve5DpUqZO2cREeW059s8iVHd5PvIIIsVFosFQVb5uvxwzQfwv5fH5mT2iIiI6DZJt6Xjk2VzdYPQNocdfx87iD/27czmnBHRf8Hp06eRkJDgfo0cOdJv+pMnT2LdunXo06ePe1rhwoWRlpaG+Ph4VdqLFy+icOHC7jQXL170+dz1mb800dHR+D979x3fVnX2Afx3zpXkvbedeMRx9t4JSViBDPYos+zRskrpWwq0pWW0QIGWvVfZUFYYSYCQQcjey9lxnHjvvTTuef+4kizZGteWfSU5z/fzEbGlY91H0r1XQs95nhMWFobExERIkuRyjON9eIvFX5gIoulG//t8D555fj06OpSZU2lpkZg0IR1ms4whOfG48PyRSOrB+qgDldFoxqOPrcbPvxTCbJaREB+GB+47FbNm+GeG+apVR3DfX3+C2SwDUNYjfuWFczBxgrpKo/7yzbf78NKrm9HUZIQhRMJFF4zEnbdNhyT1XTLi3IveQ2lp5xopOh3Hiu+vRlSU6+R9XX0r7rz7Oxw6XAMhgNjYUDz68JmYOc2/1QGtra2Yffp/vY6LiNDjg3cuxuDB8di8pRjLVxxFa6sR2dlxuPC8kUhJCb62o6++vgmffp6PjnYzIiINuOWmyR4TY1ooLKzFrXd8g5qaVkAAkVEGPP3EfEydMtivcd3756VYsaLQ6bqzzhyCfz3m30q+SdNf7nbdto23YffeCiz7/hDq69uRkR6FC84biczMWDz7/Dq89+Eu+1iDnuPD9y5D7pD4PotpysyXIctdrpuUhNdf+ZXL8bW1tZi38JNu13tKeldWNeOBv/6IAwerAQHk5MTjsUfnIXNwrNu/mXXqa2hvt9h/Dw/XYe2qWz0/GB/Isoz3P9qFr7/dj/Y2M9LTo/C7O2di3JjOD0e1tW34y9+XY8+eCshCICszFo8+dCaG5nruimGzfWcZHv3nSlRUtkCSGGZMG4yHHjwDERHOk9/qG9rx7XcHsP9AFfR6CXPnZGHunGzo1bQKCDANDe34dulB7NtXCb2eY/YpWTjt1JygfCzB7uxF76C6ps3+u07H8NOyqxEd7Vurb0c7d5Xivr/8iJqaNjAG5GTH4fn/nEutvn3U2NiImJgYTLvgdej0ric3BjKzqRWbv74VDQ0Nfbq/EeIvR0qO4+0fvkRBWTHio2Jw1Rnn4JTRkzTt1EMIIYQQ7ewtPIyxv/G8pKKOS/jbr2/Hg1d7L54ghGjH9v/TOG80ECSFH3YmC/Btfo//X/qhhx7Ca6+9hqKiIuh0SoFIQ0MDkpKS8PHHH+OSS5TunAcPHsSIESOwYcMGzJgxA8uWLcO5556LsrIyJCcrhQavv/467r33XlRWViIkJAT33Xcfli5dij179ti3d9VVV6G2thbff/89AGD69OmYNm0aXnjhBQDKd66ZmZm48847cf/996uKxV+CKklNCCGEEEIIIf3N9j/V0y96I2iT1Ju+uoWS1IQQQgghJCipSlJLEh686jb87df9s+QbIaR37Enq88cEZ5L6m709+n9pWZaRk5ODK6+8Ek888YTTbbfddhuWLl2K//73v4iOjsZdd90FAFi/fj0AwGKxYMKECUhPT8eTTz6J8vJyXHPNNbj55pvx2GOPAQCOHTuGMWPG4I477sCNN96IlStX4ne/+x2WLFmC+fPnAwA+/fRTXHfddXjttdcwbdo0PPvss/jf//6HAwcO2Neq9haLv1DPR0IIIYQQQgghhBBCCCGEBIRhGVmIj4pBbVOD2zFmiwWnjpvq9nZCCNHCTz/9hBMnTuDGG2/sdtszzzwDzjkuueQSdHR0YP78+Xj55c6un5Ik4bvvvsNtt92GmTNnIiIiAtdddx0eeeQR+5icnBwsWbIE99xzD5577jkMGjQIb775pj1BDQCXX345qqqq8Le//Q3l5eWYMGECvv/+e3uCWk0s/kKV1IQQQgghhBDigCqpCSGEEEII8a+HP3gJj3zwMmQX6QudJGHE4CHY/epiWv6DkABzslVSE99wfwdACCGEEEIIIYQQQgghhBBi8+crbsV5M04HAEi8M43BGUNKbCIW//0FSlATQkiQo3bfhBBCCCGEEOICkxiYFHxffDE5+GImhBBCCCHEkV6nxxcPPofF61fg1SWf4lBJIeIjY3D1GefipgWXIC4qxt8hEkI8YdZLMAm2eAcASlITQgghhBBCCCGEEEIIISSgSJKES+acjUvmnO3vUAghhPQDavdNCCGEEEIIIYQQQgghhBBCCCFEM1RJTQghhBBCCCEuMM7AePD1+wrGmAkhhBBCCCGEDCCMKZdgEmzxDgBUSU0IIYQQQgghhBBCCCGEEEIIIUQzlKQmhBBCCCGEEEIIIYQQQgghhBCiGUpSE0IIIYQQQgghhBBCCCGEEEII0QytSU0IIYQQQgghLjDOwKTgW5OKWYIvZkIIIYQQQgghAwhH8JXJBlu8AwAlqQkhPVZQWIfiskZERYZg7Khk6CQ6exNCCCGEEEIIIYQQQgghhBB1KElNCFFt/6Fq/Ov5ddh/qNp+XUJcGH57wxScv2CYHyMjhBBCCCGEEEIIIYQQQgghwYKS1IQQVQ4drcFv/u87mEyy0/U1dW34539+QUeHGb+6YJSfoiOEEEIIIYQQQgghhBBCCCHBgpLUhBBVXnxzC0wmGbIslCuYda1Dofz+wpubsXDeUERGGPwUISGEEEJIH+NcuQSbYIyZEEIIIYQQQsjAwayXYBJs8Q4A9O0FIcSrqpoWbNpWoiSoGXP+4pMxgDF0dFiw8pdCv8VICCGEEEIIIYQQQgghhBBCggMlqQkhXlXXtCo/MIepRNbktP06zrD/cHX3PyaEEEIIIYQQQgghhBBCCCHEAbX7JoR4FRcbpvzA3PS7YAwQAgeP1GgXFCHEq9Y2Ew4V1AICyBsSj4hwvb9DIoSQoMI4A+PB1+8rGGMmhBBCCCGEEDKAOBa4BYtgi3cAoCQ1IcSr1ORIxMSGoaGxHW4XZmAMR47VaRoXIcS1DqMZr763A18tPYD2DgsAIMQg4cKFw3DbdZMRGkJv/4QQQgghhBBCCCGEEEL8h9p9E0JUycyI7vyFA0xi9ovtTGIyyxBC+CfAflRV04ojx2pR19Du71AI8cpskXHvIyvx6eJ8e4IaADqMFnz2zQH88eEVMFtkP0ZICCGEEEIIIYQQQggh5GRHpVSEEFUmjUvD3gNVEO4KqTmQkhQBNoBaYuw5UIlX3t2OHXsrACjdPmZPG4zbr5uE7MGx/g2OEDfWbDiBzTtKXd4mC4Gtu8qw8pdCnH3aEI0jIyTwWCwy2jvMCA3RQZJo7iYhhBBCCCGEEEIIIVqhJDUhRJULFw7De5/tBoBuiWjGGIQQaDOaIcsCfACsg7hlVxnu+ftyOBaGCwGs31KMbbvL8PpTi5CbFee/AElQE0Jg175K7D9cDb1ewvSJ6RicHu39D1VY/P0hcM4gy667GnDO8PUPhyhJTU5qldUteO/zPVjy0xG0d1gQYpCw8IxcXHvpWKSlRPo7PBJA7F1jgkwwxkwIIYQQQgghZABhcLtyaMAKtngHgKBKUu89UIWvfziE48UNiIo04Ky5OThjdjYMesnfoREy4LW0mgDG3J6nGWNoaOzAzvwKTBqbqmlsfU2WBf753DrIskDX7uUWWaC9w4KnX9mEV55Y4J8ASVA7dqIef3liNY4VNYAzBgFlP5s7fTAevGc2IiMMPt1/SVmT2wQ1oOzfJWVNPm2DkGBWXNaIW+9dhsamDlisx0qH0YJvfzyMFWsL8fqTC6lbBiGEEEIIIYQQQggh/Swo+hoKIfD0Kxtxy71LsWzlUew5UIUN20rw8H/W4trffYvq2lZ/h0jIgFdc1qhqXGl58Ce/tu4uQ0VVS7cEtY0sC+zMr0BRqbrnhBCbyuoW/Oa+ZThRouw7suicCLF2SzH+7+EVsPi4XnRcbCi8dd2Piw31aRuEBLPHX1jvlKC2scgCLa0mPPrMOj9FRgghhBBCCCGEEELIySMoktSff3cAXyw9CAD2LxRtX+oXlzbi/sdWQbjLJhFC+sSKtYWqxkVHhvRvIBooVpl8LqZqVNJDn3y9D62tpm7JMUCZ/LB7fyU2uVlPWq1FZ+a6nWABKGurLzpzqE/bICRYnShpwPY9FS6PQUA5DvcdrsbhY7UaR0YIIYQQQgghhBBCyMkl4JPUFouMD77Y6/52WSD/YDXyD1ZrGBUhJxezRcbazUVexzEGTJuUrkFE/SsiXF275cgIfT9HQgaapSuPuk2OAcp60T+sLvBpGwvPyEVmRjQkF2vDS5whPTWKktTkpHW0sF7luLr+DYQEDcZZ0F4IIYQQQgghhBC/YSw4L0RTAb8mdXFZEyprPLfzljjDph2lGDMiSaOoCOk/ZZXN2LijFGazBcOHJGDsiCQwP58cC4sa0GGUAQbAQ4WmAAbEGvGnTB0Eg57DaHLfdjkpIRyj8hI1jCrwWSwytu4ux/GSBoSF6jB7yiDExYb5O6yA0txi9Hi7LAvUN3a4vK2jw4y1W4tRXduG+NhQzJ46CGGh3SdKhIXq8fITC/C3J9dg+55y+2crIYAxI5Px6J/mIiKcJliQk1NIiLr3qBBDwH9EJoQQQgghhBBCCCEkqAX8N3Cyh4ozOwaf1/AkxN9a20x44uUNWLHuOABl0o4QQM7gGDzyhzkYkhXnt9hsxyFjDALCdaKaATodBx8AlTuREQZcc+lYvPXxLrdjfnPNREhSwDej0MyO/Ao88txaVFa3gjNAFoAkMVy8YDjuvH4ydPRcAQCSEyNQVtHs9nZJYkhPiex2/XcrjuD5d7aipdUEzhhkIRAWqsNt10zCJQuHdxufGB+Ol59YgCOFddixpxxCABPHpCBvSHyfPh5Cgs3EMSkIC9Whrd3sdoxBzzFlfJqGURFCCCGEEEIIIYQQcvIJ+CR1RloUIiP0aG4xuR1jsQiqog5g9Y3tWLLiKHYfqAQDMHlcKhaclouoCHUtlU8GQgjc/8Rq7MivcLhO+fd4SSNu/+uP+O9/zkVqUoRf4stMj7ZXFnO9kmwUFodMNQcgA9MnBn+rb5sbrxgPo9GCD7/KhxACEuewyDL0Ogl3XD8Z51C7ZLsDR2twz8M/wWxWJgvZ5hZZLAKfLTmADqMZ9902048RBo6LFgzDK+9td7tmtMUicN5ZeU7X/fBzAR5/aYP9d9n6x23tZvznjc3gnOGi+cNc3t/Q7DgMzfbfBBdCAk1YqB5XXTTa7SQkxoBLzx2JqEj6jEIIIYQQQgghhBBCSH8K+CS1QS/hooXD8eEXe+GqqJpzhpTEiAGVHBtINu0oxQP/Wg2jyQIhlC9/124txhsf7cLTfz0D40Ym+zvEgLBtTzm27Sl3eZssC7S2mfDpt/tw941TNY5MERqqwwXzh+Hz7w8CUCqqma6zYloIAUgYUOvccs5w+/WTcfkFo/DTL8dQ39CO5MQIzJuTQ8mLLt76ZBfMFtltJ/hvlh/B1ReNwaDUKE3jCkSXnDMC368uQGFRg8tOIRfMz8OoYZ1t5C0WGS+9t93jfb7+4Q6cc0bugGi1T4gWbrh8HGrr2/DVskOQJGb/fGKxCCw8PRe3XTfJ3yGSQCJx5RJsgjFmQgghhBBCCCEDS/A3XSX9LCi+vbjpygmYMCYFgPO65ZwzRITp8cRfTqe2uwGouKwR9z2xyp6gBpTqYCGAtnYT/vDoCtTUtfk3yADx45pjkDy0ybbIAktXFWgYkbMOowXrd5QoyWkX62Pbrl+y6qgfoutfCXFhuPz8UfjNNZNw0cLhlKDuoqnFiPXbSjorgxkDuMPF6uPF+f4JMMCEh+nxyhMLcM6ZudDrOt+3YqJCcNu1k/Cn250rzncfqPJ6nmxsNmLrrrJ+iZeQgUiSOP50+0x89NIFuPLC0Thrbg4uO28k3n/+PDx4z2xanoAQQgghhBBCCCGEEA0EfCU1AIQYJDz78FlYuvIovlhyACXlTQgP02PB6bn41bkjkJzonxbIxLPPlx6EbBEu29rKAujosOCb5Ydxw2XjtA8uwNQ3tsPiZf315hYjhBAuk8T9qaXVhKt+/w2qq1sh4Hny06YdpX6JkfhPU3NH5y+2pLTt9RdCqeSShdtOASej6MgQ/Pl3p+COG6bg2Il66HUcw4bEQ++iErq+sV3VfdY3dXgfRAhxkpMZizuun+zvMAghhBBCCCGEEEIIOSkFRZIaAPR6CRfMH4YL3Ky7SQLP2i1FHhOvshD4ZUsRJakBpCZFQpIYLBb3z1difJhfkr8PPvMLqmuVSk41Wy+rbEZ6CrV1PlnExYQqP3RNUDv+zBlKq1q0DcyqobEDf3tuLXbsrYBFFpAkhsmjU/HwH2YhOiLULzHZxESFYMLoFI9jUpMiVd2Xv9arJ4SQgY5xBuah202gCsaYCSGEEEIIIYQMIIw5f1ccDIIt3gGA+hmSfmMyyX0y5mRwzhm5HhPUnDNceLb2EzTqG9uxaWfP2gh/89PhfoqGBKKwUD0iwvXKL+7exIWAl0YB/eLYiXqcc/Pn2Lq73D5hxmIR2Ly7DOfc8AWKShq1D6qHRuTGI3tQjNunljElQT1hlOdkNyGEEEIIIYQQQgghhBASSIIqSV3X2I5PlxzAs+9sxVuf7caJ0sBPMJzMMjOivY7JyYzRIJLANzw3AReenefyNokzZKRG4dJzRmgcFXDwWJ37Gxk61x12yKBt31vR/4GRgBIfF+Z5AGMQAIwmiybx2Nz0wPculxsAlCUHbrh/qabx9AZjDH/8zXRwzrolqpXJiAz3Wm8nhPRMRXUL3v8qH8++sxXvfZWP8mr/dHwghBBCCCGEEEIIIeRkFDTtvv+35ABe+nAHZFlA4gxCAO98vhcL5mbjvt9Mh17XfS1P4l96g/fXJMQQNLtgv/u/W6cjNTkSHy3OR2OzEQAgSQxnnpKNu2+cgqgIg+YxNbcocSjZMAHYEn4SB+MMwpoBZMz6s0VGfKyXhCUZcHIyY1FU1uR1HNewXcrGHSXoMHpOire1W7B9bzkmjUnVKKremTg6BS88cjaef2crDhypsV+fmxWH390wGZPHpvkxOkKCjxACr328Cx9+sw+MMXCmTFx549NduOLckbjtqgk08YMQQgghhBBCCCGEkH4WFBnCH345huff227/3ezQFvmHXwoRYtDh3lum+SM04kFBUaNSbeuuzS9jOHKiXsOIAhvnDNdcPAZXnDcSBwtqYTRZMCQzFrHR/ls3t9xxHWHGACEAHXe4qsuX+BLHmbOzNIqOBIrZUwZhzeZij2PGDEuETqdd847Plh1SNe5/Sw4GfJIaAMaPTMZbTy7C8ZIGVNe2Ij42DDmDY/0dFiFB6YOv9+GDr/cBUBLWjguPfPztfkSE6XH9JWP8ExwJOIwzMCn4Ji3QmtSEEEIIIYQQQvyKWS/BJNjiHQACPkktywJv/m+329uFAL5dcQTXXzIGSfHhGkZGvBEQAOfKi9R1QVpri2h3rXhPZnq9hDHDk/wdBgCgvcOs/MCs/+EuEtNWtmrqjTvKcNYpOZrFSPxv3qwsvPzBDjQ0dbg9pq++YJSmMQmVi2DLQXYSysqIQVYGLZOgliwL/LD2GD7//hAKiuqh03HMmTIIV5wzAsOy4/0dXlAqr2rB/5YdwA+/FKKlzYSUxAhcOG8oLpyXh7DQgP9YiQ6jGe8vzvc45sNv9uHyc0YExeMhhBBCCCGEEEIIISRYBfya1AVF9Sir9LxGoADwyxbPVXxEe5NGp0CyrVcscecLY5A4w8TRKf4Ok3hQWdvaOXvIuga18JDUY4xh5YYTmsRGAkdIiA6XLhruNkE9Ymg85kwdpGlM588bqmqcu7XgSfCzyDIefmk9Hnt1Ew4fr4PZItDeYcHKDSdw619/xBr63NBjR47X4YYHluHLHw+jscUIiyxQWtmMVz7eiTsf+QktrSZ/h+jV9vwKtLaZPY5pazdj295yjSIihBBCCCGEEEIIIeTkFPBJ6rZ2F18kdinkZIy5Hkf86lcLh8PioZpRALh4/sBPENXUt2Hf0RoUl3tfszfQyF1eP3dV1I5MZtljIpsMPBXVLXj3q3wwHXNuL8oApmM4dLweqzYVaRrTaTMyoffSXjzEIGHWpAyXt7W0mnCgoBZHT9TDIssux/iqrd2Mg8dqlQSqWd02KqpbsO9oDSqqPU/e8oUW29DCd6sK7JNmHE9JFlnAIgs8/OI6NDR1+Cm64CPLAn99di1a283d3tuFAI6cqMdrn+7yU3Tqtar8vKh2HCGEEEIIIYQQQgghpHcCvo9hRkokOFO6RTOJKUkPa6JMCAFhEZBlgaxB0X6OlHQ1Ki8R99w4Bc+8vRUSZ/YvtSXOIAA8eOdMDE4buK/b8dJGvPzRDmzcVWZPkAzLjsOtl4/DtLFp/g1OJSFE5/FmXVzcW6I6JTFcVTKbDBzfrjzaua9I6LZ2J2cMny07iDNmZGoa10sPz8Otf/nR7e2vPHpWt+uaW4147dPdWLamAEaTkjhOjAvD1eeNxMVn5fXJvt3Wbsabn+/Gt6uOor3DAgCIiw7B5YtG4IpFI8BdrCO670gNXvlkJ3YdqLJfN35EEm67cgJG5Sb4HBMA7Dtag1c+7t9taOmz7w+CAXA3ZcZklrFsTQGuOGeklmEFrW355SipaFZ+6fJZDFCS2EtWF+C3V4xHeJjeX2F6la2yXX52xsD9fEJ6hnEWlOs7B2PMhBBCCCGEEEIGEGbtshtMgi3eASDgK6njY8MwZVwauM45QW3DJIbISD1mTEj3U4TEk0sXDsebjy/AWbOzkZwQjtTECJx7Ri7efWoRzp4zcNctPl7aiN/+fTk27S53quA7fLwO9z75M37eom1VaW+VVbfYOxewri0M3LjiXEr4nGx2Hazqtuy8I1kIHDhWq11AVu99kw+mZ/YJTgCU9xGJgekZvlpxxGl8a7sJdz26Et+uOmpPUANAdV0bnntvO17+eKfPMRlNFvzfv1bjix8P2xPUAFDX2IFXP9mFp97a0q0Twe6DVbjzHyuw52CV0/V7DlbhzkdXYM8h5+t7Y88h63252cbug75vQ0smswXHSxrdJqht9h/Vfr8MVgcKapWkl4tuNsoPyv59vLRR++B6IDczFiNz411OBgEAzhnysuMwLIfWLCeEEEIIIYQQQgghpD8FfJIaACSdMuOiW4KaKWkzswyYTP3TjjWYCSH6rU1tT4wcmoAH75qFr169CF+8ciH+9JvpGJIZ6++w+tXz729HW4e5W7tsIZTLU29tgclscfPXgUOv40pSglurYyUvf8CAC1SuBRxsAuFYClQnylQkpTTuAN/WYcSGneXgnIPrOCSDBClEgmSQwHUcnHMs/fmYU0L4yx8Po6C4vttxa/Pp0oMoKKr3Ka6lPxdg7+Fqt9tYYr3dRgiBJ9/aAtkid5sIIAtAtsguE9s9IYTAk2/27za0xjnzOvGRM+a1JTzpxBjsfdNdfR5TfkBQPKf3/WY6Qg0SpC6Jas4ZQgwSHvjt9D7fZk/fQwLlMxwhhBBCCCGEEEIIIf0l4Nt91zd1YMuecvcDGIPRZMHPW4qwYABX5vbEidJGfLxkP37acAIdRguS48Nx4byhuOTsYQgLDfiXPOhV1rR63mcBNDYbsW57KU6bNlijqHqnrKpZqTwF6/xXBwiL6J50tFao6qTAT1CoVVHTgk+WHMSyXwrQ2mZGbFQIzjsjF5ctGI6YqBB/hxcQ2jvMqGto77zClqtiTElqCtvv2sb16MsbVY176aMduPPqSQCAxSuOwFMeVuIM360uwO+umdTruBavOOKxBbXEGb5ddRRjhyUBUCp9T3ioTJUFUFjSiP0Ftb1uyb2/oNZj9asslO4Q+4/WYtTQ4Gj7LXGOKWNSsS2/wu2EAIssqAtLD+gkSZkw6OZ2W6I6KtKgXVC9NDQrDv/+y+n41+ubcKKsSTlBCYFBqVH4001T+6yKuqnFiM++P4hvVh5FbUM7wkJ0mD8nG1csGoH05EiXf5N/pBoffbsf63eWwmIRyM6IxiVnD8M5pw0ZUO+vwYRJrNsyFsEgGGMmhBBCCCGEEDKAMHTryBfwgi3eASDgv+2qrGn12EYWADgHSiubtQkowO05VI2b/voDvv+lEB1GpVK3srYVb3y2G3c++hNaWk1+jnDgK69uUTWuLAj22er6dqffmbWjAddxMB1zunAdB2MMjc0dfoq2bxWWNOCmv/yAxT8dRmubGYAyaebDb/fjlgd/RE19m58jDAy1De2dCVeHBDUcr2OA2aJtReCxInUth/ceqgGgVC1W1bR6HGuRhc/vNaWVLR6Lyi2yQHF5s8N4ddvz5Xyi9m+D7X32kvl5bhPUABARpsep0wZpGFFwU3sMV9cF/rmxoroFf39hPYorWzpn0DCG0qoW/P2lDX2yr9c3deC3f1+O977eh1rrRJ62DjO+XXkUN/3lBxw9Ud/tb1ZsOI7bH/4J63coCWoAOF7SiH+/sxV/f34dVVYTQgghhBBCCCGEkAEl4JPUURF6r2NkGTDovfUhHvjMFhl/e34tTCYLLC7aTB8tasCbn+/xU3Qnj6gIdVVkEWGBX9UeFqpTEtMu1u60JaxZl1b8FSqT9IFMCIFHXt6AllZTt2NJlgWqalvxzH+3+Sm6wBIZrldefxcJasd9w9U+1J+io9QdhwmxoQCUWPV672+JIQbf3mssKhJ9jksBqD2fqB3ny9/6sg1/WPzTUY+zH1vaTairHxiTarQQFWFQNZk0Kjzw95Mn39yM2ob2bpMYZFmgsakDj722yedtvPjBdpRWNnfbhkUWaOsw428vrHNqoV/X0I5/vroJQsDpfcf20y/bSvDtyqM+x0UIIYQQQgghhBBCSKAI+CR1amIEdCra1XVNJJ2MNuwoRU19u9vKc1kWWPLzUbS1m7UNDMD2/RV46r9b8e93tyH/SI3m29dSiEHdYVVRG/jVZtecN7zHf/PU21v7IRJtHSioxZHj9W7PKxZZ4Jdtxaiq9Vx5ezIw6JSkbdfJCo6U1t/aVlMPTo3qEgSUiskuIcY4tCbWq5jsFGrwbXKJydzlOWCsWy90xypOo8q16315bieMTEa0lwR0dIQBE0cl93obnlTXteLlT3fhibe24JtVRyG7qBatrmvD8g3H8f3aQhxXsQa6xSJjy56yzgkUDABnysX6O2MML360o88fz0A1Z8ogcA+TTRgDhgyOweC0KLdjAkFJRRO27PXcBn73wSoUljT0ehv1TR1YsfGE2/cQWRYoKmvCrgNV9uuW/FzgsVKaAfjsh0O9jokQQgghhBBCCCGEkEAT8KWcTS1GmC2eE9CMAeVVwV+96avDx+sgSczeItKV9g4LSquakTs4VpOYjpU04O4nVqOh2Wi/7pvVBUiMDcOLfzkdaYkRmsShpe37KlWNO1RY18+R+K6surPK0F0CsqvjJeraLAeyw8e9vzZCAAVFDUiKD9cgosB1+IT6/bi2vh3JCdo8X/bkDwMgcaf9VwgBWAQgBDbvVdaPN5ktqpZDaOvooyUTJO5UXa6s363E1drWuY3t+RWq7m7r3grMmpjRq1AMegk3XToWz7zrvjvAjZeO7fOOJWazjD/+ew12OCTqlq0txHMf7sDdv56E808bgtZ2M/7z3jas2HjCaQLWpJHJeODmqUh2c/yVV7fYxzOd1P25lpXL0R7svye7+JhQXDp/GD5ddtDl7UIAt142TvV7hb8cPl6vatyhwjpkZ8T0ahuFJQ0eP4sBymfXQ8frMGFksjUuz/uiAFBU1gSzWYZOF/BzTAcUxjkYD77nPBhjJoQQQgghhBAygHAEQZlsF8EW7wAQ8E+5mi/iOFfXpnWg0+s4hIqCcoNGX27W1Lfj5r8vd0pQ21TXt+G6v/yAVj9Udfe30BB1cz+0eh18obYq3AkL/q4Gep26ZBydd5SW8GoZNHy+DHquVMu6eS2ZjgOMQW89DjlnXQuaXQrxsZIaAKDj3Sq6ma2iWseVat8ebs/XNuSrthU7bdcJZ9icX+7T/bty52OrnBLUNmaLwL/f3YblG07ggWfXYsXGom4dQnYdrMKdj61Co4v3FwAIs52H3T3XnAESgyTRMdwTv71yPC5fOByS9XiRrPtMeJgOD94+o9cTJbSk9jzky6QMg5r3EOH8OcCgl8C9nIQ4g8dqdkIIIYQQQgghhBBCgknAfzsbHqrHuOFJHr+Us1gEZk1M1zCqwDRjQrrb9pU26ckRyEjRphXnsx9s91gF32G04NX/7dIkFi3NmZKhKtl1wbyh/R+Mj06bYk049OA78bzs+P4JRkNTx6Z6TQREhOkxemiCRhEFriGDYsBUvJNIEkNsdGj/B2T12yvHAxKHEKJbZafSflwAEsNtl49T4uMcSSqqvLMH9a6y0r5t6/IVrqpNbS3TIyND7Nedc1qOqvs99/QhvY6ppcWIXQerwSSuJHWlziQudBxM4tiwqxwdRnWtx9U4cKwW+4/VehzzzPvbsPNgFWQXs68s1rXhv17teo3e+NgwZSICPDzXnCPLx9fzZCNxjjuunogvXrgAv792Mq6/eAwevH0Gvn7pQpw1K9vf4akyfniy10kdOh3HJB/a2+dlxyImKsTjGAFg+vg0++8zJqR7XLqGc4bp49MoSU0IIYQQQgghhBBCBoyAT1IDwK/PH+k2+SpxhpxB0Zg2Ns3l7SeTvKw4TBmT4vELzGsuGK3ZF5wbd5d5HbNiU5EGkWgrRK/D3CmDOq/g6Ez6WCXEhgbFPvvsx7usSStr4kqF9K5rAQehxLgwLJiT7bawFACuWDS8b6pqe6m51YSNu8uwbmcpKv24NjbnHBnd1n92WPvXKkRlh4G+UlXX7nWdbMYYjlcoz50sC9S7qcp1VNPQ7ltgXtqvCiHQ3tGZDK5UuXa92nGuPP/xTvvPtuQtk5T2to7P3+uf7+71Nrr67+J9Xse0tJk9vl/JAliy5pjL2zqMSpcOT62nhRAoraalQnojOtKA7MExGJIZi5zBsX49F/ZURLgeF5+d53YyGWPABWfkIjrSc5LZE71OwlXnjnR7O+cMZ8wYjLSkSPt1c6dkIC0pwl6d3pUQAld6uE9CCCGEEEIIIYQQQoJNUHyrOGN8OubPycYPvxR2uy00RIcn7z2VKkusHrpzFm5+8EeXa3Sff0YuFs1VV5XXF4wm2euYtgHY7hsAHr5rFq744xJU1Ld3WwtXxxhef+RsP0anXmVtmz1+AQA6Bpg9vK4cbtvvBpt7rpuMuoYObNhZCokzWGRh//e804fgmgtG+yUuk1nG65/vwderjsJofS0YA2ZPTMcfrpmEOA2rlW1SEiNRXNGsxNJ1/WdZQJhlmLx0eehrZVUOiXuG7mtSW8OpqFHOle1GC0wWpboabjpAMIOEuqYOl7f1hNLa2+FnW0wAGBjMcucxVtvQ7jEmAIDEUNfQ+7jKqtU9VyWVfZfQrWtUl+z31h2kvtH1425sNsFbSwvGgOaWPlpj/CSybG0hXv9iD+ocnvuhg2Pwh2snYdSQ4OguccuvxqG6rg3L1x3vdn6fO2UQbr9qgs/buGLRcOQfqcaaLcXdbsvKiMZ9N093uk6vk/DMA6fjnsdXoayqBZwzCFmAWY/JP908DRNG9L66m/Qe5ywo/z8jGGMmhBBCCCGEEDKA2JY3DCbBFu8AEBRJ6p82nsDyzcVgBgnCItu/MGecodUi44WPd+Efd87yb5AB4tufj6GioR1MzyFsSQ0GSDoJP20txiXzhyEnQ5v2pgz2l8rzoAHop41FqGzocNlm2ALgxU924eHbZ/onuB7ISI5ArTX5ZX8sBglClgELYF8EnTOAA4xzDM2M9UusfS3EoMMT/zcHew5V44e1hahvbEdyQjgWzh2CYdlxfolJCIGHXtmI9btKndafFwJYt7MMx0pW49W/nonIcL2mcVlkuVty2o4BTM8RoXFMg9Oi7Nt3hVkTQIOtVeChBglhIRLajIDgAkx2SBxzBmFNFCXHhfkeXJcEte1nIYRyvnZILCTFhYNxDsGtyWLHpK21Wp2BISm+93ENTo3EroNV7s/H1pP5kIzoXm+jq8S4MKCwzus4zpnHRHWim9cjJsqgIgqGuBjtJ3UEs69WHsFzH+7sdn1BcQPu/tfPeOGB0zAiCJZ80EkcD942E5eePQzLfjmGmro2xMcqHTRG5SZ4rMBXa8/hamzIrwA3SJAdP7tKDIUVzVi9tRgLZ2c7/U16ciQ+eGoR1mwpxrodpTCaLMjLjMU5p+W63dcJIYQQQgghhBBCCAlWQZGkfu7DHQCsbUh13dcRXLujFJU1rUhWsZ7oQFbf1IG3v863Vukxp3ViBZTK5re+zMc/7tImoW9LAnkSove8LmSwcmyf68rP20pQXdcW8F86P3DjZFz1wPLOK6zf23NJAty8dDMnBH4bc7UYYxg3PAnjhif5OxQAwPb9lVi3s9TlbbIsUFLZjK9XH8XVi0ZoGtf+ghq3t9mSr20d2nZNOGv6IPz7vW32GFzFBAZ7dwnOGQalRuFIUYMynjvnbG0/j8lL9CkuxpnLdbId4zQ4rJc7cki8ci4XDIyzbsed7b5G+DBx4jeXjcd31rbZnp6r687vu1bDN18yBmt3uN6XbaIj9Gj0UOnMGHDeqa67gxj0EvQ6BpPZ83vQ7Enp3oMNMkIIrNxchM+XH8Gh43WQJIbpY1Nx+fxhGDO09/tva5sJr322x+VtsnUCxav/24Nn/3Rqr7ehtZG5CRiZ2z/V3y9+skuZYMEYuIvPri99ugtnTB/c7XOQXifhzJlZOHNmVr/ERQghhBBCCCGEEEJIoAj4NakPFdahqdV7O863FudrEE1gW7m5yGPFmSwLrNtVioZm39vVqiEx7+199bqBV0qdf6QazSr22be/Dvx99u+vblYqNR3WF/a2xusTb27RKLqTz/fW1rTuCAF897PrNXr7y5ETdTB6SQQypiQL1bZ47gtvLd6nak3qt77cC6Azye8JY0p1pC+E8PxcCSHQ6rAMwterjwLw/DgAYImL5TDU+nHdMVXP1dK1x3u9ja5yMmIweZTn1sX33zwVM8enueyywznD4NQonHfqEJd/29Rq9JqgBoBt+ypVxRsshBD493vb8ejrm3GwsBYWWcBokrF+ZxnuemI1lq0t7PV9r9legnajxe3tsiyw82AVKmpa3Y45WRwvbcSh4/XwdLg3t5qwcVeZdkERQgghhBBCCCGEEBJgAr6S+lhpg6pxlbX0pWhVXRskzmB2aPNtZ71KCKCusQMxkSH9Ho9Or4PJ4rl6MixUTUvW4HK8tEnVuIrqvlvftb84rkkNeE5Q226vqm/r77A0VVrVjJWbi1Hf3IHkuDDMm5GJeD+s+wwo5zmLl+4ENQ3aPv/Hy5o6q229KK1s0WzN7ONl6o7DE+XKuA6TBW0dDgk4F+dPBqC63rdEu5pjyJFtrW9viirUPV7Xf9v/23Dl6f+bg4de2Yg1W0ucloYIC9HhgZun4pQJGZg6OhWvfbYH36w+CqOpcw32uZMycM+1kxAe5rqNfHlVi6puHjUD7Hy1akuxvSre8aHbzhtPvbsNE0ckITUxosf3XV3fZl+32du4lCDpbHOwsBZvf7MPtQ3tiIsKxXXnjcToPqisVvM+yJjyXJHAx3hwru/MAn4qMiGEEEIIIYSQAY0h+JZ7DbZ4B4CAT1IPSolSNS4hNrDbJmshPjpE+fKYdbaUtbMtEC2A2Kj+T1ADQEpCOApLGsGs1dK2ZAGzftEnzAJZ6ZGaxKKl+Dh1Sbhg+MIzLibE3m5X7RqdcVEDY41Xiyzwwic78fXqAnDOwJly3etf7sX154/C1QuH98m6pT2REBvqdY1erZ//jGTlGFbzXPQmMdZbaUnqtpVuHReilxBqkJRKUQ6nxHvn+ZQhPkab86dNmspkn9rH60pqgsrnqo9fP845HrljFlrbzfh21VHUN3dgTF4iTpnQ2YLboJdw11UTcMOFo7H3cDUsssDw7DivSyXY9jX7+02XY8Z2vVbvh1r54qcj4IxB9jBp5Ls1x3DzxWN6fN9x0aFeE9QA/DaJpydkWcbdT6/B3iOOSxU0YMu+CozIjsMLfzoNOl3vM3xqngMhgHhaE50QQgghhBBCCCGEnMQCfo796NwE6CTvyY/rL+i7tTKD1elTBynVaA5tmR1buDLOkBQfptmX8tPHptoT1IwxcImDS7wzHh3DKRMyNIlFS5FuKvu6ysvq/RqyWnnqnjk9/ps/3zy1HyLR3htf7sE3qwsAKG1szRYBIZRE9VuL8/HtGm3bagPA/FlZHhPUnAGL5mRrFxCAETnxqsbpJIaEWO0SMrf9aqyqcbdfNh6AMmlk5vg0e/ISQLcW2DIEzpw+2Ke41MxrSHR4ni4+K8/7fQK44LTcXsd08byhqsadf4a6cT0VHqrD5QuH4ze/GueUoHYUGa7HjPFpOGViutcENQBERRiQ6pDgZ5w5XWyuOW+U7w8ggBw+XucxQS3LAvuP1fbqvudOzoDBQ+KWM+Uzmy8TJrTy5xfXd0lQdzpQWIf7nl/r0/3nZEQjJyPa4/EeHqrDzHFpPm2HEEIIIYQQQgghhJBgFvBJalmW4bVuhwGNzUYtwgloS9cfV76Ad/GtqK0qsFbDNWHzC2rs27a3drBebDFuOziw1gMFAK5iUgUAhBikfo7EdyaT+/VH3cnLjO37QDTW2GLEFyuOejz3vPvtPlgssmYxAcDU0amYPDIZrorwJc6QGBeGC8/ofbKyN4QQYCp2ZaFijfq+VFjaoKo9S0VtZ9t9WQin85MjW8K6pqHDp7hUdEWHjM7jTrYISF7OKTo9V9Vu3Z2mFhXvnwwwGj0v3xBo7rl2ksfbs9KiMHV0ikbRaEPyUv3LGKDvZYVwVLgB11/gOqnPrB1cfqNycog/NTYbsWlvRecVjp9PrLYfqEKdD5+XGGO44/Lx1p9dj7nlkjEIDQn4hkYEAJNY0F4IIYQQQgghhBC/YSw4L0RTAZ+k3rinHDLgPlLrF4uf/HBIu6AC1Lc/F3hMVDDGIAv0uoqqpw4er1cSO7yzmtqe/LEe79v2DbwktY5x5YtBL+czH3JKmvnrKxs7v+jk8P64OLA5v1yz+PrLpj3lMHtJQNc2dmB/YZ1GESk4Z/jnXbNw9qzsbu3ixw1LxIsPnK7JevOODhbWQTmg4X7f4IAsGBqafEvw9sRj72xTzj0e9lcmMfzzrS323zfu9bzvcs6wZluJT3GpSRrUNXUmg7fur4C3qRBmWWDXoepex/TZ8iNe42Kc4dufC3q9DX+YPiYVD946zWX176gh8XjjobP8EFX/mjkuDZKHpSSEAGaO73317pULh+OOK8YjIsw5uZqaGIEnfz8b4/ISe33fWvl69VHlB4dzluNnE9t1n6844tN2poxOwWN3nYKkLpX/UeF63HPNRFzUT50JCCGEEEIIIYQQQggJFgFfwtForfBijEFwa1ZPWRrUfj0AtLYHV4VXfzCaZFXrwlbVtmKkyha9vpCFcEpQ29jXemUMxl5U6gY6ozW5yTjrXAfVcZ+1PifBUEnd4nBcObaNF0LY1zjv+rjqB0BXg9Z2k7pxberG9aXQEB3uv3EKbrlkDHbsr4RFFhiRHYes9GjNYwGA+mYl8Wxf+1e4P083tRkRo9FyA+0dZntcno7DFutrKMsCRpPndLAsC9X7hie2hLCwCJfXO2qzHoNM8vw4PL0HmkwWmCwywkJ0Lt8jWtqMqrbR2Kr9/u6rM6dn4vSpg/DjhhPYfagaEWF6XHpWHlJUrvUdbC47Ow+rthS5vI1zhqhwPc6antnr+2eM4Vdn5eH8U4dg4+4SlFa3YtjgWEwcmdJt4kygamozdk9OO/wsrB0VmtV0GPBi5vg0TB+7CDsPVqGiphUxUQZMGZUCgz7w3/8JIYQQQgghhBBCCOlvAZ+kHjWkM5nqVOkCAJJSjssYw/6ienyy/DAuOnVIUCT/+kNKfJg9qQ/OAGvrbyEEIFsvAMZoVOkkSRxmi+vEuS2ugfhFbXpSBBhTKtaYXrK3D7Yn78xKIiwzNcqPUaozaXgSfthwotv19hbuLgwbAO2+nV4bD8fSYD++hgkxoZg3o/fJpr7S9fXudp52kBKv3Vq1I7JisbZeqYxm1vcEV8fh2LwkAEoCLy0xAmXVLd1fcwFAlsEZQ2ZaH73mjIGF8G7bgHB+6hz3MabjbvdFV3F9seoIPlh2CA3W9wWJM8wen4Z7fz0R4aF6+7iRQ+KxZG2hsg0PicaxQxN6/3j9iHOOBadkY8Ep2f4Opd+NyInHX2+Zhsfe2gIhC8jKfDAIAURHGPD0/81BeJje+x158P7SA3hv2QE4NpsID9XhidtnYExu4FdSZ6YoE3rcTeqzHV8ZyZF9sj3OGSaNTO6T+yKEEEIIIYQQQgghZCAJ+HbfmanR3VolggHQcXuCGgDaOix44+t8/N/za9EeZOtm9pX7b5ii/OCQyACsX8RyBug4IsP1iI8O1SQeg17yWNnNGENYaMDPk+ix+OhQjBoSZ91H4fw6AICOwxAiYcbYVD9Gqc5910/p8d8MyYjph0i0NX5YEhLjwpySgkDnscR0HGPzEpCWqF3SNVDFx4QhLtrgdVxKfFiv18LtjYdvm6n8YN2mq+MQAO6/frL9bxaekglIymtuY5+QIXHIAjhndo7vwUnKPtR1G0wnAZwhIbbzHD0iOw4p8WEez+vZ6dHI6VJJ/6/3tuGlz/faE9QAYJEFft5Riqv/vhzNrZ3XL5yV5fW1CQvRYdb4dJ8eNtHGmdMz8cm/FuG680dhxrhUzJ6Qjj9eOwkfPbEQQwfH+nTfT7y3De8scU5QA0ol/+/+sxbb9gf+Eh6x0SFeu84wxhAXo+3SCSRwcc6C9kIIIYQQQgghhPgNC9IL0VTAJ6kB4JHfznBer1xyTjrYCAEcKKzDRyfp+tRDBsUiJkZJbnR9bmy/x8aGeVy3ui9FRXiv1orVqPWv1g4UNwJw/zqYVLQWDgT2fYVBSYh5O0kzDIgvRRkDQq2Vpi5fQ8agNwy8CRa9FRER4pTYdSV7UKw2wVhxzpVOBnB/HDK9BM473wa/XXfcPrHEVRtgSAyHT9T7GBjAePf3MHtMEkd4uPO5s77N7PFxVHdZ63tvQQ1+2OS65TMANDQb8eQHOzpD4hx/vGaSx7AfuHGqx9tJYEmKC8N154/CE3fPxqN3zsK5pw5BuI+TwlrazfjRw34FAPe/vN6nbWhB7TuU47mBEEIIIYQQQgghhBDS94LiG7gROfF49c9nYHBKJNC1Gq4LWQDf/FIIS9cyn5NAVV0bmtpMHltYllS14MDxek3imTY6BZ6KlRgDpo5K0SQWLe04VAVZ9txKFGB48PVN2gbWCw++ulGp+LRVenapMnXCldu1rJbtLweO16OkugWeduCdh6tRWdeqYVSBqd1oRkl1q7JfSC5ee84AiWHLAW0rLD9ZfhCAt+MQePXLPQCUCRnVDR0ux9rGM8bwzKe7fIqLSZLHiUJCCJTVtNl/X7WtGEaz62UTbHG1tJux/UCV/bo3v97nNY71e8rRYbTYfz97ZhYeuW0GEmKcO20kx4fhybtPwZyJVEV9snvw1Q1ex1hkYPfhKq/j/Gl0bgIkL5NqGAPGDQ381uWEEEIIIYQQQgghhASzoMkmDcuKw3uPzsc5c7MhuUqEOGhsMaK20X2yYaA6VtoINUXSR4sb+j8YACOy4z3GIwQwccTAW6fxh43d13B25YhGr4Mvdh2tsbbVd670ZHpJWRPeemF6CUySAMY610UPYkdLvL82QgDHSps0iCawHS5SnivGGBhX9gXouP3CJA7GOYSAU1K0v/28o0zVuI35SvK8wVqN7K0NcEubybfAvGyDMQaz3Hni3H6wWtV9bnOYBHC8zPt+KcsCFbXOkyzmTMzA50+dg08eX4hn/m8OPntyET59YhGmjg78pQlI/ytQeb5bpvI90F9io0Jw9oxMcDfHIecMp00e1H2pGUIIIYQQQgghhBBCSJ8Kun61kWEGVa0aDfqgyb/3Gb3Kx6zVc7MxvwJMYhAW15lqLnFs2FuOaaMHVjV1RJj3NucAoJMCvy22vdrMxZf5zE0r1IFw7BlUVoMPhMfqq/CQ7m8j7pKwWu7zISpfmxDrax3q4nG4pPFha7C2LPcmNKRznM7H/TclIRwpCeGq7oOcPHQql3KIUvke6E93Xj4exZXN2HOkBpwpXXgYUyYfDc+MxR+unujvEEkA4Sw413d2NxGDEEIIIYQQQgjRBIPHTqUBKcjCHQiCKsNitsiIDNfDIrsvz+VM+YIxJnJgrnXsyeiceESEeU60SJxhikbVy/uO1UKAda5l7HjhDDKA/IJaTWLR0o3njFA17tLTc11eX1zVjK9+LsD/Vh7BjkNVmq0h7sqdl45RfmAuktWSw8VBWEjgJyi8mTIi2Ws72IgwHUbnxGsUUXfHy5vw5c8F+GzVEew5WuO3/SR3UIyqzxoSZ167YPSlOy4dp2rcby8eDUB9kjohOtT7ILUYlHfhLk9LpEOS76K5OaruatGsbPvPs8d5r3yOCtcjJb57Irql3YQfNxfh0xWH8dPWIrR1mFVtP5DJssC2g1X438oj+GpNAUqrW/wdUlC68DR1++K154zs50h8Fxaiw3/umYM//HoiEuLCEBaqQ0JsKH535QQ8+8dTVU82U6O51YiXv9qDP7+2Ef/6cDtKqpr77L4JIYQQQgghhBBCCAlmQVNJvTG/HE99vBP1TR3KF/tu8jGyAK5eMEzT2AKFQS/holOH4IPvD7m8nQFYMDMT8TF9mGTxwJbkY3oOxpg9iWb7WZgFdBomrbQSEW5AUmwoqurb3Y5hAK4423k/bWk34amPdmDt7nLbEtCQBZCRFIEHr5uCoYNi+jdwF86ano3H39up/GJr961zzkgyxiCYgBACpwyQqvj4mFAsmJmFpesL3basv+zMPNVVrn2pscWIx9/fji0HKp32k6zUKPzt+inISo3SPKbk+DBUOKyj7ArTuAotb3AswkIktHW4bzGu13FMHK5M2hFC2CspPcn18TjkHMqa9ZLSHt1+XpQYhCwgLALZ6ZH28YNTo5CTHuWxtfyYIfFOa0lfd85IfLfuuMcJXdcsHO5U8S6EwBc/F+CdJfvRYZLBOYMsC4QaduPW80fh/NnqEpSB5lBRPf7x360orWkFZ8pHh5e+3Iu5E9Jx75UTEKa2gp7g1wtG4J3vDng8RpLjwpwmWQSyx97fjp93ltp/72gz48Wv9mLHkWo8fNO0PtnGC1/sxte/FDpdt3xLMcYOicfTd8zSdOIOIYQQQgghhBBCCCGBJii+Hdt1pBp/e3MLGpuNyrqnLlrGcmvB7p2XjsXs8el+iDIwLN9a5LYlgWDA2NwEzWIZl5cI7pDQZIw5JUW4jmHCMO3i0dLooXEeb4+Nc670l2WBB9/YjPV7ygEoiTJbfqmsugX/9+I6lNe0dr0bbXAAkpKcZjpmfx0dX0/GGDjn2HGkxj8x9oO7fjUWp4xLA6BMuGCsc+LF+XOycfV87SfDWCwy7n91A7YdqgLgvJ8UVTbjDy+sQ02D+8kR/SUrNdpzKxQGv7RKjY02uI+LATHRBqeruK3rgztMSWz7ROLKRA97cwKH8yKzHmddYshMi/L4ONKSI5yuio0Kwb/unOm2G8CiWVm49IyhTtd9s7YQry7OR4dJBqCckwCg3WjB85/vwfebAnudYVdKqpqVc2etMoFCFp2TENbuKsXf39ri104VwejV+051e1tYiIQPHjpTw2h6718fOieoHa3bU45/vrfN5228vWR/twS1zZ6CWtz78gaft0G0wTkL2gshhBBCCCGEEOI3XbvrBsuFaCooktTvLDkAQNiLpxmzJssk5Yt+xoGLT8/FR4+ejYvdtFA+GazZWYqqhg5wnTUJwmFvJ8sk5fl6c8l+zeKpalSSZcxW7ulwUa5jqPRQbRysLBYL1uyqANfzbq2wbQnfhmYTDhzvbHW+/VAVdh+tgavCR1kAbUYLPlt9tF/jdmX55kJwiYNb1592t9awTbtJRnOrUYvQ+p1BL+HhW6bhpT/OxbmzszF3QjouPm0I3vrLGfj9FRP88uXvur3lOFTUYE8gOpJlgaY2Exb/ckzzuGKiDM7HuY3D8R4fre0SDI3N7aiod38+5DqO2iYjquuVBCZjDLFRIV4fR0JMmG+BOXSU6MqWsN5/osF+XUubCb/sLvf4OFZuL0GH0bkt96Thyfj6qUW49IxcpCdGIDkuDFNHJeONB07HH7ust2s0WfDO0gMew37ru/2wWOTePWY/+XTlURhNMmQXiWhZdJ53iXp5g+Pw43PnYvb4NOgkBs6AUIOEm84biSX/OQ86XeBXprcbzfhpa7HHMau2l6Cl3dTrbciyjP+tPOJxzO6jNSij1vOEEEIIIYQQQggh5CQW8Enq6vo27D1W2y15x5jSKpXrOLiOIzk+HMlx3dfXPJl87pDEZIwpyUUdB5c4GFeSH7WNHahr1CYxfOB4HWB9nWwx2StvrddtOVipSSxaWrL+uP1nzjm43uHikPB9+ct8+7iV20qcqx67zNyRZYGfthRpEL2zJz/a3RlS16Sam9lFL365p9/j0orJIrDpQCU2HqjEjoIarN9fge2HqyDL/knWrdxaDE+5cVkW+NEP+0lru5IgtVfYc2Y/59j2mxaN1zZ+4sMd9p8Zs75X6JVzomPr8cc/2A5AaXfdbE1KeXocrUbfHoeA58keQgin97svfu5yXnfxOIQAvl5b2O2+wkP1uP2Ssfjg4bPwyT/m4193zHLZrnz7oSo0t3lOyNU1dWBPQa3HMYFECIEVW4s9tjyXOMPKbSUaRjUw6HQ6PHLrdPz4/AX46cULsfSZ83D1guH+Dku1xb8c89rWHwC+/Lmg19tYv7ccZov3jXy43PXyLIQQQgghhBBCCCGEnAwCvuSlsdV7JYvEGRoHSPWmL7wlGWyqG9sRF93/61JbZOGUoLZxbG3bYXS/XmywKlXZlttxn21qNSrJFMc8tW0dbwZAAC3tZuu6udpV8Lr8ip11xmb/17a2rgCKKtyvnRtMqhvacfO/VqGlvTMp2dJuxqtf78MXqwvw9gOnI9Sg7Sm0ocXostrekT8q2duMFmXKk7vcPQM6TNoe67UNHfZte9pf65qUcbIsYLJ0Hm8ucaUK0xfejt+ut9c2qnsc1T50pWhsUffe0dgSPO+zZovwus/JsqDPDichtUsi1PqwdEJlnbq/rW+i/Y8QQgghhBBCCCGEnLwCvpI6MSYU3MuX+maLQGr8yV1FDQBJsera0GYkRngf1AfsSVYPuBTwu2CPjRuqbp1tx9chISbUdcW5Q0VnTIRB0wQ1AOi7tivvkkR3/Nd2+6S8pP4PTAO/e+4XpwS1o6qGdvzpFe3XE01PjHC7zrBNih/OhWkJ4dBJvLMVtSOudE5I0bjTxdBBMar21yFp0QAASeKIDNMrx2HX05KtvTZjSI7V9nHkpEerehxDB0X3ehupCeoek9pxgUCv4wgP9TyJRABIifOxfTsJOkPSu3cTcDkuQ904V/IGq/vbwSmRvd4G0Q7nPGgvhBBCCCGEEEKI3ygrvgbVhdak1l7Af3sRHWHAnPFpHtd/DdFznDoxXcOoAtP0Uclexxj0HOGheg2iATjvTLa6whiDpHHSVQsThqpL0p42uXOfjY8J8VwlLQSiIw19EV6PPHPnzG7XuYvRdv2cCcF/LO4rrEWVl8rU/cfrUdek7ZrqC2dkemxfzACcOytbs3hsFs3IUjon2FpkSw4XxsAYcN4p2sZ1xZm5ALzvr1ecOcR+XUSY3n6b02NwOJclxvV/Fwq9rjPm0yakO01c6cp22+ThvZ8cMiYnHmkJ4XB3+uEMyE6NQp6LVuGBLCyk6yyb7tIStJm0RQLH/GmDoJM8f/aQOMM5MzN7vY2xQxIQGea908av5w/r9TYIIYQQQgghhBBCCAl2AZ+kBoCbzh2JiFCd20T17RePRYRGiddAVlrT6jbJYGM0y2jSqL2ptypqAJDVLAwZZNbtLfM+44YBa3eX238tLG/2XCXNGMpqWlU9p32ptM55X+lavdl1TWrGGH7YrP2ayH1t6cYTzle4WX97+ZZirUICAIzOicf8aYNd3sYZQ97gGCzyIbHSWyOyYrFohnW7DPa1nMGUuIakR+OcWVmaxvTT9tLu+yuH07seYww/bC0FAJjMMirqPLfqZwwoLO//dvaOFcD7j9er+pvdPVgv2iILbNhXgZcW78ULX+7Byh0luOuSseDWCQVMYmA6BkhKgppzht9fNk7zTg6O8W50iHf51mKvrbxb2k2osbVKd4Mx4PgAWZ6AqMc5x28vGO1whcM5y+qW80b5XIX6f1dM8Hj7JacNoc+uhBBCCCGEEEIIIeSkFvBrUgNKi9sX75mDVxbnY9O+CtjydBlJEbjxnJE4dQBUbvYFiywgSRxmi+x6TVXrmqaeKjH7kl7H0W60uE1sCCG8tmMNRiazdc1YCM+vg6XzRtkSmAl9iywr697KojO55yJZax8jALNG+1d/slisiytbE65OkwNsaxYLwGRxtwhz/2CM4Q9XTEBGUgQ+X33UvpawXscxf9pg3Hr+aM3XybbFddVZw7DxQCXqW4z254uDQ6djuP6cEQgL0TYus+21cZFnYpL1NZUBs1kZZ1/r2XbQdt2Nrfej5lj1xH6suFr72nadwznTIqvbxywq4yqpbsFf3tyE0ppWe+v4bzccR7iBges5hCzsrx9jDNAxcIlhqMoWyX2trKYFf35zM0qqW5ziffXbfDx8/VSMyYl3+XcWi/fzMOfavR+SwHL+7Bxs2F+BHUdqnM7vXOIYmxOPi08d4uGv1ZkzPh1/v2EK/vPJLjS1da77rtdxXDlvKK5dMMLnbRBCCCGEEEIIIYQQEsyCJkOYkRSJf9wyHdUN7SivaUFEmB7ZqVF+q+wKRMMzY/Hd+uPOiRYr2/OUFBuK6HBt2kYPTo7EkZJGt7czxjAiM06TWLQ0dYTSdpcxpZK0a/Wz7bWYPKKzPe+IrFiszy+Huzw0Z8oau1rv7yMy45RkjjV5BcCp2syJ9epZY1I0iq7/zBiVgp+2l9gfU7fnnQFCFpg1JlXz2CSuJIR/dfpQHC1tgGwRyEyNQmSY/yryjCYL7n9jIxqtiRjmlGQV+Mf72/HKPXORmazd+qunjEnFp6uOej5mODBrrLK/GvQSUuPDUFHf1nn2FHDuFABg2OBYn+JiUpc1r20bc9hOTFTna5k3SN32hmd6H9dmNOPeVzegtkmpMHZM0LYaO3/u+pyZLQJXPbYCXz4yX1UsfUWJdyOqG5W2+o7xNreZ8MAbm/DaH+YiPbF7y+6ocD3iokJQ19Th9jwsC2C4j68nCU6frDqCHUdqAHTf3/ccq8UHyw/h2vnDfd7OnPHpmDM+HfsKa3G4uAEpcWGYNjKZ1goOMlxSJusEm2CMmRBCCCGEEELIwOFpCcOAxZjLehfSf4LuW7LEmFCMGZKAnLTo4NvB+9lpE9IRGaa3LvLOnC6AkgO5aO4Qj+t796XKxnbPba8ZUFLTrEksWorpMgnA1WsBACkOa9vOn5ZprxJ0RRbAxXN9r+zqqeMVTZ2JWmv7ZndsSflRWcE/8WDooBh7xbs7jAFpCeEaRuVMr+MYkRmHUTnxfk1QA8Ca3WUorWmF7KIqVQhAlgW+XFOgaUyNrUbv+ysAx48d0VEh1kJm6/EqcTDOO49dxhAXHdIn8dm3wTvXvLZdSqra7OPaOsyq7i9cxfrLK7eXoLqh3eXr5E1zmwnHNWh17mj1jlJU1re53a9MFhmL1x1z+beMMUQ4rAns9jzsx2OY+Ee70YL/rTrqccxnPxeoPvbUGJUdjwtm52DG6FRKUBNCCCGEEEIIIYQQYhWU35QZzTJklS1QTyahBh0eumEK9BJ3Snjavo+fMToFF8/J0SyeplaTktjkcE4W2daGZco62gPNl2sLVK1J/cFPR+y/xkWF4M/XTIbEmdNrZ/tx4fRMnDEpox+i9ezlxXudEjreJoYwxvDODwf6O6x+9/maAu+TYBjDsgGw/nZfWLe3DJ6eLoss8POuUu0CAvDkJ7tU7a9PfLwLgFJpe6ys0Z6MdnxAjHPAul7zloNVPsfmKS4hnPtgvLVsv/d3ag68/f1Bj/dpkQXW7C7zemry5Lkvd/vw1z33y27P+5UsC6ze6Xq/am03o7i6xeP9c4lh84FKX0IkQWh3QQ1avSSgO0wWbD9crVFErtmOW0IIIYQQQgghhBBCBqqgaffd2m7C05/txsZ9lfYv7RJjQnHDgmGYN2mQn6MLHOOHJuLp22fhhcV7cbRMqXrjDBg/JAG3XzQGkqT9vATGWGe21cbaenUgfv/a0GJ0WqO5G+s6xx1Gi9PVc8al4feXjcd7PxxEVZ1SSanXSzhrymDcedFov3QOMJp7/gJV1bX3QyTaam1XV0HX4rDO6MmstcPS2areVqHMrOs+W2/oMFnc/HX/ULteuNG6JrVFFjBbhFP83TG0tvfva951u63tZuW55MK+FrpDOPaK/+ZWY7f7OlHRjM9+PorVu8pgNMuQmOtTklpqj4u+0tphdrsEgo27/arDbOl83tBZrW7bJ22TAdr7sFqWBAe1r3lfVlL3xL7jdfjs5wJs2q983s1MjsQFp2RhoZeOK4QQQgghhBBCCCGEBJugqKRubjPhmidWYd3eCqeqkuqGdjz16W68vcx9BdnJpqaxHY99vBPHHNqyygLYdawWd72wDicqtWuvzZjyH2ZtbenUetx6XaghKHbBHpk5WlmnmHEGJrm4WL9kHpoR4/R3y7cV45kv9qC+1QSul8D1EswCWLqlCE98srNXLXp9lZse5fY2V61zAeDMSen9HVa/G5WtrmX5uNyEfo4kOGSnRtmPd8A50WqrQk6PD9M0pqHp0T0ap5M4QkOUeVuuEtS2CmutJ4uMt+5j9tbgXc4ltnimjUx2+rs9x2pxx/NrsWJHqT0Rb1aZuHdn8rAkn/6+p4akRXtMyjEGZCa7PkdFhxusrdS5/Zyr/A1zel/S6by3SScDS1aq+/c1R9kqx/Wl1TtL8YdXNtgT1ABQVNmMF77Kxz8+2E6V1X7COQvaCyGEEEIIIYQQ4i+ODSuD6UK0FRQZwn9+uAPNbe4rWj5dfRRlNZ7bep4sXvgqH9WN7d0qlGVZoLndjH99slOzWBKjQzuT0i5aRjPOkZcRq1k8Whk3JAEGnfdD6/e/Gm//ubqhHc98vgcAnL6Etv20Znc5lm8r7tM41Xj0xmnKD11ePy5xcInb19PlEre/rqdOUDobHCyqx1vLDuCFxXuxeF0hGlu6V3oGqnNnZHodo5MYxg2hJDUARIbpIdB90oLj8d/UoW0l9dO3zezROCEETBbhOQktBCwa5IgyEjvXSb56Xp7XFt2cAefMyLb/brbI+McH22GyyM5JLR8/Zd1y7iif/r6nzpmR6TEpJwRwwSnZLm9r7zAr3SwAt/slGENLP1fGk8CTlRKFkVmxbhN4nAFDM6K7TSTrb/XNHXjqf7sghOvPAevzK7B00wlNYyKEEEIIIYQQQgghpD8FfJK63WjBjiPe1wV8cylVU1fVt2Hj/gq3FbeyLHCkpBGHius1iaeuxai0VnVDCIECh4rvgeTBayZ5vP2CWVkIM3RW8H2/ucjjc8UY8NW6wr4KTzWDXkJcpN4ehC1B3RlXZ2LSlqgurmzEX97egt+/vAFfrS3ED1uK8fqS/bj68ZX4YUtwrOF8uNT7fmmWBWoag7+1eV/48pdjHhOpQgjUN2ubDFzpZq3irr5Z35n08dqtgDFwHxO9WcneK8rnjOvsRsA5xw0Lh3scf9dFY5x+35BfgfpmY7dW2b5WgRdVadeJAwByM2Lw63l5ALrn1xmAU8ak4vSJGS7/ts1o9piUZ4yBAdh/or5vgiVB5Q+/Go8wg9QtUc05Q6hBhz9eNkHzmH7YUuxxUgYDsNgPnwMIIYQQQgghhBBCCOkvAZ+kLq9t9bomJQAcLWvs/2BckGXf2qf2pcLyJlXP1ZESbZ4ri+w5KcIYQ6vG1ZVamT4qFY/fMh2RYc7LvuslhhsWDMcdF411uv5IaaPH9bmFsL2+2rf61Bv0nclorqzp6u51ZZzh4Q92Yqd1YolFFrDIAkIAZovAs1/uxeYDlVqG3ytHSxrt7YDdYYzjWNnAnGTRU20dFq8JQQAwmrU73tfuKff+GnKO9fnlys+MISsl0mOynTNgSJpvLYDL6rwk6xnD4S7n6CvOyMPvLx2LEL3z4wkzSLj/qok4Z2a20/VHShvdt8l20bcmOkKv6rk6Wqr9++y184fj/qsmIjul83lPig3FLeeOxF9/Pcnt42w3yi6XI3DC2IBfV95iscBi6b/jzmwOzjW9s1Ki8NLdc3DmxAzoJGUfkTjDaePT8eLdszFE5XIBfemIl+NLACiuavG5bT/pOVvXmGC8EEIIIYQQQggh/sKtBT/BdiHa0nkf4l96FW2TASX5p5XWdjOe+WI3Nh2osle9pMWF4YaFw3GKdT1if1D9XKkcR3yTnRKFkdkJ2FVQY588kJUSiTFD4ruN1es4OIPHRLWntVn7k+Ox1dm+ufN3W+JcCOX3kupWt/fFGPDRyiOYNiLZ7ZhAYDtGbIk74TAZxTGZR8eSFYO9J60kdbb4FkJACAHb0yd5SYT2pRC90qmAcd4tJgCwWPt2hzh0NLhgVjae/2ovlGW0nY83ZTzDwmmDfYpLp2MwWThcPRW284Sr5QJGZsYhb3AcDhY32K/Ly4x12ZJYr+NwdyqxPS4B4KXfzUZiTCjyC+vw6AfbwTgH5wxCyPbnijFurzBXs4xBf0iICUVaYgTK6tshC4Hk+AgkxoZ5XG9VbajCazP14GM0WvDgu1uRX1hn3w/0EsO5M7Jw86IRPt//1+sL8c73h2BySJZGhenw6PVTkDco1uf714pFFqhoaAeXJFhPF6hoaLev4a41vY47naNc4Qz0P0uEEEIIIYQQQgghZMAI+AxLWnx4t+oxV+aOS9MgGqC51Yjrn1qN9fsqndoyltW14bGPduKzn49qEocrIzLjEB7ied4B5wyThyVpFJF3Wk4u0FJ5bQtu/PfP2Hm0xqm6/XhFM+5/cwt+3uXcinjaiCSvCeoZI5N9btfbG5GhzvuUY4La+V/n210RAjhY1IDapo4+j7MvTR6W6PQ4GOf2i014qA4jM2O1Dy4ApcWHgzHnBLUNYwySxJTbNZxo8eszhwLoHpPtX9v111jbSQPApLxYa6ydYx3Hc4khKdZ7u25PJmTHKPfFlYQU59z+syRxMAZMH+k8iWNPQS3uemm9U4IaUFpV3/H8Whwsqne6fvqIZI+tyxmAQUmRGJoRjbioEEwYmgCJO7xOkgTOOSRJsr+uOu6fNdi/23gCf35rC7YdqbF3ZThc0oCn/rcbL32zz21CT6cySx0WInkfFESMRguufGwF9jokqAHAZBH4al0h/vT6Jp/u/+Vv8vH6kgNOCWoAaGoz4/evbMSeY96XZwkEh4rrcfvza7H/RL3T83SouAG/e2k99hyr0TymaSOSvC45MHlYksfJGYQQQgghhBBCCCGEBJOAT1JzzlS1Xbx4do4G0QD//HgnWtrdt7f874+H0dhi1CSWrkINEi6Z4/55YAw4e/IgxEeFaBJPXJTB65gh6b61zg1Uf/vvNpgt7r9s/vfne2Bx+JL/1HFpSIoJdfvlsywELp07pM/j9EYIgaPlnevQdk1Qd17fvdrak3ZjYLeITYgOxVmTB3lMuF86JwcG/cBKcPXWmZPS7ftu133B9rtBxWSjvjQ4Jcpl0tzxd0liyBvUWYl8y3/W2293t0+/9l2+T3FtK6jvljB3/Jkx1m0SyyMfbHe7lIMsgL+/u83purxBMRg/JN7t+UQAuPKMXPs2I8P0gJdjWzDrOA2VVLfg1e/2AXBeL9z2XCzbXIQN+1wvH8A583j82sRGaPuY+tvf39+GdpP7SuD843XYsK+8V/fd0WHGkk1FHsf85e2tvbpvrf393W1uJ4YJATzy/g5tAwIwJjvOa11/VkqkJrEQQgghhBBCCCGEEKKFgE9Sd5gsKKpq8Vg5IkkMu4/V9nssRqMZewq8b+edHw71eyzuXHnmUCyYOghAZ9Wi7d/pI5JxxwWjNIslPjrU+5go72OCTUVdG0pq3Le8BpQ2o4vXF9p/N+glPHHLNCRYJxBwpuSMGAN0EsN9V0zAyKy4fozatSc/2Wmt9oTLJKQjJbEHr5VgoQYJiSr2DX+788LRmDpc6TrQ9VhaNH0wrjxjqN9iCzRf/FLocf1fxhgsMtDWod3khIff22rftruYGGP442sbASgTMoSX8QDwzQbPSTpvZAGva8vvPV5v/3nTgUq0ennemtpM2F3gXPn5119PwlDrBC/bfms7hq85Kw9nTR5kH/vRysNeXz/GGD5fU+Axjr62dPMJj5NeOAO+3Xjc5W2RoXr7OckdxoCctO7t0oOZms8or313oFf3/c+Pd3odY5GBfYV1vbp/rew+VoPGVs9rkbd2mLFpv+sJEP1l1a4ySDoPn3U5w7bDwVGpPtBwzoL2QgghhBBCCCGE+AtjwXkh2gr4NanLa1vRbrTYq6KEwxf8ti+gdRLHkZJGzByV0q+xFFa2uF3n09Ghkvp+jcMTiTPcc+k4nDczCz9uLUZVQztiIwyYNzkDo7LiNG0XXd/cAZ2Ow2KRu1UBKi1kOWoCvO1zb+w4ou5L5F0FtbhkTmd19KCkSLz9p1Oxdk85Nh2ohMksIy8jBgumDkacRtXvXW21fiHuqvLTHdsIV8cKZwzzpwwKigrkEL2ER66fgvzCOqzYXoL6FiOSYkIxf+pg5Kro7nAyUbuG6/HKZowYHNu/wVjtPFqjan89UtIIADhWXt/PEXXyFFfX27YeqlJ1n1sOVjm1446OMOC5O2Zh26Eq/Ly7DK3tZqQnRmDhtMHISIxw+tu1e9VV1q7ZXaZpR4dDxQ0eJ73I1tbfrhj0EsbmxGHPsToAwuk9yLEjxBkT0/swYv9T8xmlt8stuHuuu1q2pQijsrWfVKXWloMqj6lDVd1a7/eno6WN1rb/rj/rMsZQVNUCs0WGTgr4OaaEEEIIIYQQQgghhHgV8Elqxy/iOquinL/EFwLQq1x/0hehBnXb0AfAl4eDkiIwIS8RrR1mpMeHY2RmrObrGdueB8n6r23zjskCgy7wk5U9FaIyAWtwsc8adBLOmJiBMyZm9HVYvSL1IDltG5cQHYLqxnZwwKmdKmdARmI4rnZYAzjQMcYwJiceY3Li/R1KN3XNHdh9rBZmi4y89BhkJgd+G9hQDScnSJwDsHgdZ1tmPNpFK2tX5yytuTpPuBLi4lzKOcPUEcmYOsJzok0vqTxnadyyXc17qacxv56Xh/vf2Ay4qKhmDMhNi8Z4P6yz7W+9La5Uu6Z8eGhgv6+7OlZ8GddXdBIHA3OYtdv9+eZMmexFCCGEEEIIIYQQQshA4P9sqhdp8eFIjQvzOEYWwt6Wtz9lJkepShicOi6t32NxRwiBz34pwDVP/Ywn/rcLz3+dj/vf2YLbXliHfce1bcE5Y1SK0m5QYpD0HFxnuzAwSfkiVssqJa3MGpWsqi3EOdMy+z8YH928cHiP/+beX43Fk7dMx4TczuRPeIgOF87Owb9vm4kojde1HWg6TBY8/3U+bvjPGvz7iz14bnE+7nx5Pe57ezPK6zy3me8vCdHqKv21TKTftFDdZIjLTs0FACTGdsbm8pxlb3ff97F6skjleWL+tEHeB7lx44JhqsbdtHBEr7fRG9NHJntco1fiDDM8vIeMG5KAey8fD73EwZgtwafclpsWjUeunzLg2uGq+YwyNKN3nSDOma5uX7wmwCciLZg6WNW4RdPVjesrU4cnQfYwI4Zzhkl5iQNunyWEEEIIIYQQQgghJ6+AT1JzznDZabnub2cM43LiNWu/e84Mz1/SGvQcF8zK0iQWVz5adRTvrziCDpNzBWFZXSsefG+r6nadfeHsyYPAOLoVA9kq4iUdx5kDrNUqAIQYdJjupXIxLtKAiXmJGkXUe/OmWL+k78F34mNzEzEmJx7/vGkaPv/7PHzwwOn49MEzccuiEZSg9pEQAo9/uhMrdpZ0a4N8sLgB9721BfXN2rfQv2i293NeXka0psmVhdOyVY2zrS1ua63Ldcz1OYsryetTRvu2rER0mPcGJrcs7EwaZyRGICvFc3J/aEY0kmI8T+byZHxuIvSS59fGoOMYmaltC+czJ2YgMkzvsfL3glnZHu/j9Anp+PDPp+OyU3MxfmgCpo9MxqPXT8Hzd87y2zIK/emiU7K9jvnT5RN6dd+2Y8WTuEgDIsMMvbp/rSTGhGLYIM9rkWclR3Rri9/fZo1KQXJsqNvzpCwLXDInR9OYiIIFwNrSvbnYJlcRQgghhBBCCCH+wIL0QrQV8ElqADh7cgYuP01ZB9P25Z3t39z0KDxw1QTNYrl54QhMGeY6uaiXGJ6+ZTo498/TWtfcgc/WHnN5mxCARRZ4f8URzeLZX1RvbbPa/dBmjEEA2FuobXW3Vv5y1QQMSYtyeVt4iIRnbpulcUS9YzZbwCTlC1rmJYnVlUUWKKlpRXF1C+r8kDgdiHYfq8X2IzUu20/LskBDSwe+23RC87g++6XQ67tJVqq27ci7TtRxiQFmizLObBFKghqu29sriWqGioY2n+JqVbF+9/fbS51+f/rWGYh3k1BNignFkzdP8ykmAHjrj6e6/RDGGPDOvXN93kZPRYbp8c8bpyLSOrmlcy1ppc33A1dOQHaq6/OsTWlNK5743258uaEQe0/UY+vRGvznqz1YvP64fWLCQHLt2cMwcaj7Fua3nTsSybG9n9Dw799Md3ubQcfxXz/sJ73x+E1TERPhetJUZJgOT/9mpsYRKcvW/PPGqUiwHuu2/KKtA8DdF41xWneeEEIIIYQQQgghhJBgF/BrUgNKcuDas4bhtPHp+HFrMUprWhERqsOcsamYPCxJ9TqJfeXh66Zg19EavLv8ECrq2mDQccwZm4arz8hFiMF/T+naveUev3SXBbCzoAZ1zR2Ii+z/CrLlO0oAOCYWlB9sMTIAP+0s8Wt79P7COccLd56Cdfnl+GTlUdQ2dyDMoMPZUzJw8Sk50GmwhnpfWLzhODjnna+ZjkG2CMDVbsaV9cfLalux93gdPl59FLVNncnpibkJuHXhCKTFh2sU/cCzalcZOGNuW8LKAvhxRwl+faZ27XYr69vQ3G6GJHHITFYmoMiAbSdhXJmosmZvOe65eJxmcX294TgkvbLvymbXz5ek4/h+azHOnZ4F29LGntZfF0Kgor7dp7gEAEnPYTG5TlZLeo7SWue27eGhOrz7p1Px/ZZifL3+OJrbTYgK0+OiU7Jx1uSMPpkYlRAdisUPz8N/vtiLdfkVsFgEJIlh7thU3H3RaOh0/nlvy02Pxjv3norVu8qw/Ug1ZIvA8MxYnD15EGIiPFfsVta34d43N6Gl3ex0fXO7Ge8sP4TGViOuO0tdq/Ng8o8bpmLn4Sq88PU+1DS2gzGGvIxo/Ony8Uj0oeIeAEZkxuGLv83Dox9tx56COsiygF7Hce6Mwbhp4cg+egT9b9+JejQbzZAk5XwqhHW2LGdoM1mwu7AWM7x0ROkP6QkReOMPc7F2bzk2H6iE0SxjSFoU5k8ZjMSYUM3jIYQQQgghhBBCCCGkPwVFktomMzkSNy/Sdk1Md8bnJuA/udpX2nhS32IEZwwWL9VhDS1GTZLUtU3t3RLUtp+FEBAAahp9S/gEulNGp+KU0an+DqPXiquVZJntNQOUxJ4nn645itW7y7tdv6ugFn96azOevnk6UrysM09cq2vu8LhmKQA0thg1ikZRWd9ZWazTSRBCOFXd2/Ybi/cC4n6JizEGSe8+8Vxep4wzmWWPCWob3keLUkv6niWWOedYND0Ti1SuC9wbOp2u162g+1OoQYcFUwerXkvY5tOfC9DSYXZ7zHyxrhALpgwekOejCXlJeOuPp/bLfYeG6PDPG3yv3vcXIQReX3oADAyCA9xFD4HXl+7HVD9MggSUiurTJ6Tj9AkDbzmUYMU5A+9hN5lAQOuXE0IIIYQQQgjxJwbXXXYDW7DFG/yCo5yTqJIQFdJtndquGKBJghoAQvXKHAi3rXMZQ4he0iQW0js5vWjRvGZvhcvrZSHQ0mHGR6u1azk/0CREh3pNmmi9zm5anFIZ72pCiuPvjEHT9soZCerWkx1kXXfWoPJcFB8V2OvtEoXJLGP17jKP74mcAat2lbq9nQxMB4sbUFrb6rIhiE11Ywf2FtZqFhMhhBBCCCGEEEIIISejoKmkPlHZhL++tw2NrSb7dXqJ47qz8nDutP6rLAsms8ek4s3vD8Ls5kt5zoDJeUleW6T2FW8daIUQfptJU9vYjhe+3YddBTWwPV05qVH4zcLhGDE4rk+20WY0Y9mWIny/rRjVDe0ID9XjtHFpOH96pts1QQ8VN2DxxuPYeqgKFlkgJzUK507LxNyxqX1WwdkT58/Iwls/HALQtRq++1hZVtoDe2w5Lwusza/AbxeNRFhI0Jx+Asa8Cen4ydpG3xXOgPmTBmkYEZAQoyTOPVV42yrxm1qNiI7QJol+7vTB+O9Ph5Q2vi72VyEAiTPMm5hhj3FYRjQOlTS6vU/GGC45JcenuDhn9sRp17hsT2FOSvfJIV+tO4b3VhxxSqxxBtx9wSicOi7Dp5hsSqpb8OK3+3CguN7+vI0YFIvbzx2JwUnarinuq+Y2E0wO5fuunmvGGKqt3TxkIfDz7jJ8t/kECiuaIXGGqcOScOHMLORlxGgZus+EEFiztxzfbT6BgrImSJxhcl4iLpyZheGDYv0dnt85dnBxd25QxnV0v7GH2jrMWLqlCD9sK0Z1o/I54PRxaTh/RiaSfGy9TgghhBBCCCGEEEJIsAuKSupDJfX43asbnRLUAGCyyHjz+4N4fel+P0UWWKLDDTjTS3vIq07P1SgaoMPkuX0uYwxGk0WzeGwq6lrxmxfWYcfRzgQ1ABwrb8L972zFhv2uK4F7orndhPvf3oL3Vx5BZX07ZKEkTZZuLsI9r21EYUVTt7/5eU8Z7ntnMzZa16G0yAJHyxrx7OK9eOHrfK9tnvsDYwxJ0fou13XeZrsASvItJSYUkpdkukUWqNe4JfVAMTIzFjkpUW5vDwvR4Rw/TNpJUrFWKmMMbUbten7rdRKGZ0S73V8ZA4YNioZO6nwbvO0cz2vqhug5Th2X5lNcdyzKA2OdbVi7HkMA8NRNU5z+5uXv8vFulwQ1oKxB/szifVi84ZhPMQFKdeldr6zH/qJ6e5JOCGB/UT3ufnUDDhY3+LwNLYWH6sA5A2Pdz1nKz8rji40wQBYCzy3ei+e+zkdBeRMssoDRLGPDgUr86e3NWJvfffmCQCWEwIvf7sMzX+3FkdJG+2PZdLAK97+9Bat2U+W4baKep3OD47jeam4z4b53tuCDVUdQ2dD5OWDJ5iL8/rWNOF7Z7NP9E0IIIYQQQgghhBAS7IIiSf3n/271ePvSrcXoMJs1iiZwtRstWLe/0mVlEACAATuP1mgWT0uH99ekqc3kdUxfe/jD7U4Vdl39+4s9kGXfkmnvLj+MoqpmdM0ry0KgzWjGk5/tdqo4rm1qx/Nf50MIOLWntQ1ZtbsMP+8p8ymm3pBlGTXNyuvYNdnjyPZ7RYP3NZMBIDJM73UM6a6wohmFld0nONi0dphxzMUEiP6mJkkNAFHh2r7uh0qV58Ld/nqw2Llq+rVlBzzen9Es42BxvU8xvbvymEMyzLE7QWeC7NmvOydeybKMH7d7Tiz+d7nvLfT/8fF2uOuMLQvg0Y+2+7wNLYXoJcRFGrolIIHO51pAYEJuIlbtKsPPe5REtOPpS5YFhACe/Wov6pp9r6rVwi/55VixU9lfuj0WAC98s89ePX6yGpkZ5zRJxJHjhJHxQ+J92s5/lx9CsbvPAR1mPPnZLk2XQCC9xzkL2gshhBBCCCGEEOIvtnxCsF2ItgI+SX20tAFmi/cv8R7/ZJcG0QS2tfnlaO0wW7+Qdz6wlC+qGL7bfEKzilyT2Xuit6FV2yR1RV0rSmvbPI4xywJLtxT3ehvN7Sas2l3qMeFTWtuKvYV19uuWby/x+GU1Y8B3m070Oqbe+tv72wDAWpHYPdnjyHa9p2XROQMmD01EFCWpe2XZ1iJIEneqEHU8xiWJY8lm7feTgvImVa37tVyD/tXv8gF0T0LZ2K5/5qs99usOlTTav9h39fwyxvDCN/t8iqu53fPkHcYY1u+vtP/+z092qrrfD1ce7nVMuwpq0NTmOa7mdjN2FWg3yclXsix77NhgO5f9uL0Y3206AU97r0UIj232A8l3m054/jAtBJZvD47H0l9s3VK8nRuWb/fhc0CbCav3lHn8HFBS04r843WuBxBCCCGEEEIIIYQQchII+CT199uKVI07UuZ+HdGTxZGyRkhdWsh2TSrWNRvRcBK3Wt5+pFrVuJ0+JGOKq1q6Tazo+l04Z8777JHSRqcvs7vO2hFCSQRqXXV1oKjnLX7DQ1wnIm2JvitPG+JrWCetg8UNDusZdz/GZVngUIn2bZnbjBanfdPdrLOKulbNYtpwoErVuG2HlXNCc5vzedHdObSqQdsq1Pzj9arGrdzd+04LWw6re662HFI3rqcssox9J+qw+WCVy6UQeqOsrq1bBasrR0obcKyiqVsrdUdCKOfoYHC0rMnj45YFcLjU93OE0WzGks1F+HDlEadJFcHgl73q2rev29f7x1Xk4nNAV10/BxBCCCGEEEIIIYQQcrLR+TsAb0IN6kL0tg7uycBxbdW+GDcQGVRWcup1vX+OHJ9fSeJOCS4hhLXtqnAap9Nxa2LPOSkmhLC2AJeh4+6rmPsL4wB62Pk8OSYU44ck4LvNRbDIwr72a0JUKO6+cDSGpsf0S6wnA72KY9cfxzcDAOt+y7vsp0IIWKzt9bWspFbb5lSSlHFqj3mt32rUvpxq9g13DLr+Py+6s2p3GT5afRR1zZ2TBLJTInHrguEYltH7c0WYyn1N4gwSZ7B4aAHBWfC8b3p7LAy+7SsA8PKS/Vi1u8wpGf7itxw3nT0MZ05I9+m+tWBQuR+rHeeKTvJ+ohAiePYrQgghhBBCCCGEEEL6Q8B/O3bFXHVVl2dNzOjnSALf5NwEz19OMyA3LUqzVstqkjmSxuvlzRqV4rGtq82CyYN6vY3slEhEhukgufnyWbmeYVJugv26ibkJbtdOZUz5G1/Xx+yNS07J7vHf3LxwOG44ezje+cNc/O6C0bhp/nA8dPUkvH73bIzN1v4xDCRThyV6PK44Y5g+PEm7gKxS48Ls7cZdTaSQJA4GID4qRLOYbpiXp2rcNacr40L0Oqg5HY0YFOtDVOo4xnGRymPwt4uG93p78yepe/+cP6n350VXfthWjJe+2++UoAaA45XN+NsH232qXo6PDkWI3vtHnFmjUjBpaAK4hwNLFsDkvMRex6KlKcOSPE7QEPDtsTzz1V6s3FXWrVrbaJbxytIDWO1DRb9WLp2To2rcZSo/f7qSnRqF6HDPn7UE4PQ5gAQuznnQXgghhBBCCCGEEH/x99rStCZ1cAj4by8iwgyIizR4HffrM9UlJAay8bkJyEyKAGcMko5Db5CgN0jQ6SVwziAEcOlsdV/O9oVQvbUK3ppk1emVWByTt7GR2iWtACDMoMPEoZ6/FI6NMGD8kN5/cayTOKLDlcfVNWFn+12v44iP7nzs6QkR4Nx1gs92XWxkaK9j6q1fzcnt8d+MyVKeu+hwA84Yn45zp2ViQq7nJFCgMpllrMkvx6Of7MT/vbUZT3y+G5sPVdlbbmvt7MmDEKKXXL5ZMgCcA4umDtY8rt+eO8Lr+q5JsWGadgKYO05dRec8hwRtdITyXsMYIOk6z1ncoSpy9pgUn+IaPija65jbzxlp//nS2d4TZQzAhNzeT05IiQtHdnKkxzFZyZFIjQ/v9Ta6ajOa8d7KIy5vU7pHCLe3q5WeEOF1zNwxabhwZjZkNz2yOVMmV8we7dvrrpULZ2RBuDk/cQbERBgwd0xar+67rqkD67y09n57ee/XRtdKVnIUYiI8f66MCJEwYnBsr7ehlzgunJnt9nbOgGnDk1Tto4QQQgghhBBCCCGEDFQBn6QGgNd/dwr0HlonPnrtJA2jCVycMfxqzhDoDJK9kspWiavTS0iIDdW0ytICoSTLrUkezq0XiUFvkCDpODpMFs3isfnzFRMwKNF1siXMIOGpm6f5dP9VDe2obGj3mJCTBbDpYOf6ruv2VXis4mSMYWdBrU9x9caG/ZXQ6SQwxrpXhlvbkzuWpkscMFt62B88QDW3mfCX97fhxe/2Y++JOhRVt2BnQQ2e/movHvtsF4xm7ffduMgQ/O2qiQg1SE4dARhTJj7cf9l4vyQ9CsqaPe7vjDE0tJrQbtT2Ofv7lePdz35jwF+uGGv/VZZlNLdbrBN8dPbzla2Tgd4gQZIYfthe6lNM/7pxusfbI0IkzOtSsfzk9VM9/s1rvzvFp5gA4G9XTXTb2ULiDA9dPdHnbTjafLAKHSb35wpZAPtO1KOqoa1X928yyyira/M4+1EnMazbX4nRWXG46/xR4Kyzit32ZzERBjz860mqW6L727BBMbj7wjHK/mt7LNZ/o8KVxxJq6N1j+fSXY17HtHaYcaC4vlf3r6V/3zzNY1eVJ2/2fJyqceGsLHtXFtuxZXtNhg2Kwd0XjPZ5G4QQQgghhBBCCCGEBLOAX5MaAPQ6HT77yzy8sWw/ftxeApNFgDNgxOBY/PWKiQgPDYqH0e/MsoyXlx0A4FzBa/u5qc2M57/dj99r9cWogFOy3DEeIQS4l7Uz+4uOc7x4+ylYvbsMX647hrpmI8JCJJw5IR2XzM6Bzsf2iLVNHV7HcM5Q09g5rrapA96eivoWI4QQmlajltS0AIA9Qa03SLBYLJC4BOaQ0JJlASFkMMbR1mFBVHhQzH/x6KWl+3GiqhkA7K1tba/RnuN1+Gh1Aa5X2VK6L43KjMMbd8/Bql1l2H2sBkIAozJjceaEDK/Vgf2lsqHd6xiLLNDUZup1gqw3nvn2ACSd0l5ftsj248dWGf38dwfx/h9SAcCeMLXt67bjzHF9eC5x1Dd7P749eeLzXTCE6GA2myF3ydkzDpjAsLewDmOy4+zXD8uMxSf3n4r/e3MLSqpb7dfnpUfh8eunQKfz/T3wwzUFkHQMsDD7GuKA8nxIEvDxmmNOFd6+qlFxnlTGGZEUE9bj+29pN8NsEZAkCbIsO3U/YNYJNpIkoaZJ2XfPnJCBcTkJWL69GEfKGmHQSZg6LBGzR6dqupZ6XzhtXBrGZsfhx+0lOFzaAL3EMSUvEXPGpPl0/FWpOM4BoKiqRZO2+L74fP1xSHoG2QKnfUNZtgD4fF0h7j7ft89KnDH89pyRmDcxAz/tLEFFXRuiw/WYOyYNE720mCeEEEIIIYQQQggh5GQQVNndWxaOxC0L++5L8oHm6w0nvCZ9Nx6sgkWWIWmxTh1jAFwnVW2Jau1rUTudNi4Np43rXdtTT2JVtKeXZeE0LjbCAM6ZxzbSUWF6TRPUAFBVr1QiCgF75bSrhJgyGUGCEAI6D10PgkV5XRu2Halxe7sQwPJdpbhsTg7CQ7Q/jUaG6nHe9EycNz1T82270thqUjUuMky75yr/RB3aTRb7mpycd0/OdZhk7DpWg/E5CQjRczAOtxNBbOcsk4+dArYfVToi6HQ6t+/Az32bjzfumu10XajBgJdu971i2pW65g6s21cBMA5JB2ti39ma/ApcdVouYvtoIkRzm7p9JsbLur7uhIdKkKwToZS1WbuPEQKIDe98PEkxobjq9KG92l6gSYgOxZWn9Xy5Bk/UntuTYrRfmqInGluN+HlvOTiXXO4XALD+QCWuOX0o4qN8X5JkaHo0hqZ7b/NPAhfjzGliXrAIxpgJIYQQQgghhAwcSpffIPt/02CLdwAI/nJHYrftaLXXMbIQKChr0iAaQLhJUNsE3QlKpZTYMOSlR3s8n+kljhnDk+2/zx2T6jFBzRlwxvi+T6h7s7OwVul7y2BNVnueBMEYw65j3vfDQLevqN7rGJNZxpGyxv4PJgioTdzqu7aM70dLthSpGrd0azGAzmp5b+clrsEEnwaVSf++crC4wWsnB1kIHCxu6LuNqjz/u2tB7o1BJ2HWyGSPyyjIQmDu2NRe3f/JKCvF87rlNtHh/unooNahkkavE/qEAPareB8ghBBCCCGEEEIIIYT0HiWpBxC1nbNlL4lGbQVSLH3nmjOGgoG5zcNcNicbEQ5t6kdlxmJKXoLL8ZwxRIUbcO60wf0UrXtC2Foeq5/5dKyiub/D6nfekvGd4/o5kCBRVN3idYxSpaxBMFY9PR8KleeiEP3Ae9tU+1ypPS7U0EnMvhyEO4yrj82VX83OgUEvuU1Uz5uQjgw/rOEerCJCdV7nFti6EQQytZ+BAvtREEIIIYQQQgghhBAS/Abet+0nsXFZcV7HMAbkpmrTdtLWHtcdYeshPQCNyozFX68Yj6Ro57anYQYJ180bigtnZjldzxjDHy4agzMnpHerHMxLj8I/r52EuEjf24721PicGHtyWm3iwWwJ/q/2h2fEeB0jcYYhqVEaRBPYWtpNqGnqAFOWfnaJceX50rIV/Lhs7+dDABiTGQsA0EmSdb1ez/vv0LT+P39q3TJ/WEa01zMxA5DXhy2Lh2fEWLttuNkeV5ZBSIrp/XkvPSEcj14zCYOTnBPReonjwpmZuGXB8F7f98loeEaMvauGK4wDYSE6DEoM7MT/0DTPnU5shlGLbmLFOQvaCyGEEEIIIYQQ4i+MBeeFaCuo1qQmnl06OxvfbD7hsfJsQk48dC7WG+0PYQYJbUb3q04zxpDsQwIi0I3LiceLt8/EvhP1qKhvQ1SoHuOHxCNE331tXEBpT/vbhSNw5dwh2FNYC5NFYEhqFLKS1bVY7Q+J0eE9/huzb0v2BoRBiREYnRmL/UUNLqvuOAPmjk5BVFjv1ssdSKoa2gHYKu0dqigd5qAwxiALpUW6wc3+39fiVU7qiIvqnEhy5rh0LN1W7HYsYwzXnunbmsX2Nd49SIkN82kbPZUYHYopeYnYdqTa5fsHZ8DUvCQkRPfdWsMThyQgOTYMNY3tna2XHfYZzhgWTRkMycf26jkpUXj6pmk4WtaEouoWhOg4xg9JcOpkQdQZnhGDrORIFFe3wiJbT/SOrxlnOHtCutv3uEARHxWCmSOSsfFApdv93bZ/EkIIIYQQQgghhBBC+k9QfUtbXtuCp7/eh9rmduh1Ei6cnomFkwb5O6yAYdBJ+N15o/DsN/tc3h4facAfLxqjWTwXz8rCh6sLPI659JQcjaLprra5HZ+uLURlfRsiw/S4aEYWhqT0bWVsRX0bPt9QiOrGdoQbdNDpGCblJnr8m5gIA2aPDox1UiPCOk8RatcQHyjVZ3edOwp//2gHKuvb7LW1DEpOZkhqFK4/M8+P0QFHy5uwu7AWFllgaFoUxmXF+6VqSqk+7mTfT1yEotNwTeruccGeIXZMEoc6JNSuPSMX+4vrlZb11hb3juOvPnUIkmN8S1xFherR2GZdc9phdp5wmNzhLkm9fGcJ3v/5KMxmAb2O45Z5eX12rvjNguF46KNWFNe0drstIyECt/Zx1THnDPddMhYPfbQDrR1m5RhjDAwCsgxMyUvE+dP7ZomDDpMF6w5WorCiGSF6jvAwHSbkJPTJfZ9MGGP440Vj8fePtqO+2agc4w7HyOjMWFw2x3/v6T1x89nDUFLdguNVzksVMABpceG4bdGIPttWbVMH/rfuGCqsnzUunpGFHC+fNU5UNWN7QS3MFhlZSZGYlJvQ6/XZCSGEEEIIIYQQQggJVEGTpP7z+9twrLJzrds2o4z3Vh3FB6uP4rmbpiHRx8TBQDFrZArS48Pxzk+Hcai0EbIsEB6iw+njUnHVabnQ+ViV1hNnjk/H4o0n0NJudnl7QnQIZo1M1iweR68sO4A1+yqcrtt6pAbZyRF49MpJfVJt/vAnO3GgpMH+ew2MeGpxPiJDdXjxlhkIMQR2tRkAnDUh3etEA0ecAZOHDozkT3xUCP51/RSs2l2GVXvK0NBiRGJ0KOZNSMec0Skw6Pzz+jW0GvHMN/k4WNIIbk2kWmSBxOgQ/OH80V6TH30tJTYMidEhqG7s8Dhu4hBtk+ijMmMRqufosMjOEywYUyYbCCVROi473n4T5xxGiwVccmhxzxi49eeYCN8r52eNSsYP20rAJOc2+lyn/CxbBGaOcD4vGk0m3PDCeqeqT6NZxkvfH8RrPx7Ce7+fo3oSiTuRoTrERoagpK4NwmFDjDMkxIQish8qj9PiwjF+SAI2HqpymNPAEGbgmDs61ecqagBYvOk4Pl1b6HTdrsI6xEUa8Pg1kxETbvB5GyeTqDA9WoxmMKn7MVXXYvTbebGnIkJ0mDUqBSVrjzktUcElhhmjkvusS8bLyw7gFzefNR65ahL0XSbutLSb8cKSfdhVWOd0fo+NMODuc0dhxCDvS1EQQgghhBBCCCGEEBIsgmJN6n99sdspQe1IFsDdb21WvV7uySA7JQoPXz0JH997Gj6973S88/s5uPaMPE0T1ABQVN2CdpOS8JF03OnCJYb6VhMaWoyaxgQA768+0i1BbVNY2YKHPtnh8zb+vXivU4LaUXO7Gb97c6PP29BCeIheqd5isCbuPI+XOBBqCJq5L16Fh+hwztTBePrGaXjjrtl4/LopOHN8ut8SMWaLjH9+thuHSxsBKOc/W6vk2qYO/OOzXahubNc0JsYYfjUr2+u4jISet473hUEnwSyUxLNtXXXHiy1h7lhx/cQXu1Fe32FP+NrG2n5+7cfDaOnwnIz3RidxpwSf4zYA5TgbluHcjeDGFze4XcbBLAtc//xan2ICgKe/zsf+kgZw7ny+5pxhz/E6PP/dfp+30dUbyw9h0+GqbtcbzTKeW7IP+SfqfLr/Nfnl3RLUNnXNRvzpv1t9uv+T0W2vrodFhstjqry+HQ9+uN3fIaqyfGcp/reuEII57+9gDIs3nvDY9l+t91cf6ZagtimsbMFDHzt/1pCFwFOL92DP8Trr753n94ZWIx7/YjdKalq63Rfpf1xSzs3Bd/H3M0cIIYQQQggh5GTm6vujYLgQbQV8kloIgZ2Fnr+oloVSLUUCyyvLDigVVi4ObNt1zy/p+8SHJ7Is44cdpR7HHK1oRomLlrdqWSwWbD1a43FMY5sZ+4p8S8BoYe+JSgimVJwyxsC4+0Q1Y4DFVY9n0me2HK5GUXWLy4SlLIB2owXfby/RPK5V+RXgkvvXnnOG5bvKNIwIOFbhej1xR0II7C/uPA53eXmvAYB7/+tbEu6HHcrr4+68yBjD45/vtl93sKS+c81mN4xmGeV1ridyqdHUZsKOglqPYzYeqkJbh+uuGL1RVteKX/ZVeFyf+/P1vr2vf7TGcxeIxjYT1uSX+7SNk8mG/ZUwWTzvi0fKm2A2991+0h/MFhmfrS/0OOaLDcdhNFl6vQ2Lis8aBV0+a+SfqMfBkkaX53chlLi/2VLU65gIIYQQQgghhBBCCAk0AZ+kXrtP3RfIS7b6XvVC+laVl/a/AFBQ3qRBJJ22HK7xmvABgK839z458tNudfvshz+rb6PtL49/vr9bNSmXlEp4W8KacVvFjlKxumK35y/mg5WsYr/pb+sPVsJTx2xZAGv3u67c609Hyxut+wazV9w77huMM5hl4TVp3Jee+nKf15lvjDE88/U+AEB7u7quDnXNvnV/kIX39d0dz53PfrtP1f0+9VV+r2NSWzX6466+O7Y3HqzyuC8LARwoaUB9L7ttNLQa0dBq8jrONmmAePfhL0dVjftqc2AnUvcV1aPZzTIkNm1GC/b4UMm/9Yjazxon7D9vOFgJ7uHcIAtg/YFK6hxECCGEEEIIIYQQQgaMgO/LW16vrnWt2Ut1DwlMWuf96lrUtep1t462GmrbLbcZe1+lpRV3r4+SuAbgonK6eAC1I61ubMeSbcX4ZV8F2owWRIXpccbYVCycNKjP1iztiZZ2s9djxh/7lS0m+2QGN1XVZouAQadNtX2bSd0x3GFWnq9qH5PP/aXDJKsa19LR+9e9UUUyFwCaVI5To7XDrOwvXhJurR1mxEb0fN1oNQlqIDjOw4GiXeW+WKXyc5u/tKo8VtSOc0Xt5Irmts79tLXD7DUBbbYIWGQBnYfOFYQQQgghhBBCCCGEBIuAr6Qelx2rapw/EkaBTJYF8ovq8cu+Cuw8VguzRd2Xy32p61eotupKR3qNv2jNS4v2PgjAoISIXm9jbFZct+tcPfa0uLBeb0MrUWE9n8cyPS+xHyLRXnFNC/78wXb8tKvUnshqajPh2y1FePCjHb2u8PRFWly4x0o7AEiOCdUomk5dj2PGAO7i3UXL4z0jXt3xlRStPF/p8dqume2J47OUEqvu9cxJiez19oao/Nuc1N5vo6vUuDCvlaY6zhAfGdKr+09xcRy4Og/743gJVklR6l6LibkJ/RyJb9QeU2rHuTI0LUrVuMFJnZ81UmLD3C6nYRMboYdOCviP7gMO5yxoL4QQQgghhBBCiL/Yu20G2YVoK+C/6RqeEeexJajNXeeM6P9ggsSOghrc884WPPHlHry+/BD+/U0+7npzE1bv1XbtzUGJStKHcwZJYpAkbr10fnE2YUi8pjHlpkUjKtRz4pUBuGhGZq+3MS47HjprK2xJYtDpuNNjt53ofrtgeK+3oZUXb5ne478ZMah7kj7YCCHw0rIDaDN2r1yWBVDT1I7/rjyseVxnjEv12jL7rPHpGkXjsM2JyjaV41w51jnn1n1f2eGjw/Re21z3pYeunKhq3D+vngAA4JyrWlF9Rp5vCbhwg+R1zFSHbTx8+XhV9/uni8b2OqbTx6ZC8vJGa9BxzBqe3OttdDVzeDIMOvcfQTgDThmZjFAVz5crIXoJOclKUt3Vedj2HnTl3CG9uv+T0f9dOEbVuJl9uJ/0h+zkSGQlRbj9bMkYkB4fpnpSmyu5qdFeJ3kxABdPz7L/fvqYNI+dMhgDzhqf0euYCCGEEEIIIYQQQggJNAGfpAaAs8anebxdr+MYlhGrTTABbndhLZ75dh9qm53bWje3m/HWisNYtbdMs1giDJI9KeuYnLK1ipYkhnC99rvgHYtGerz9wumZCDX41gl/1sgklxUsjCkJvPgoA6LCet7CVmsGfc+eBx3DgFgvs6CiCSeqWtwmDGQBbD1ag7pmde3j+0puajTmT3SdhGYMGJYejdPHej5f9ofclCh7MtpVIlqSGC6fnaNpTDpJQmSo5wRnRAhHiKHzOLxp3lCv93v3+eoSde7cd9For2N+f17nGINBj+wkz50dRg2O9mkCAOcc152e63HMjfPy+nSSQXiIDjeemQeg+wxFzhhiwg24zMd95tozcu37pSPbe1BidAgyE3vfNeNkkxgditxUzxXCV83V9jjvDcYYbjl7mDKZptu+B0ic4dazh/u8v3v7rHHB9EyEOEzCSI0LwyUzs1yO5Uzp8LJwMiWpCSGEEEIIIYQQQsjAERRJ6q0FteDcdak95wwCwP7ieq3DCjhCCHywpsDjmE9+OQajWZvW38eqlLWJXX3RqyQJGHadaNAkFkfjc+LxwCVjERvh3CI+VC/hmtNyfU6MAMC2glowuH7sANDYZkaNyrWr/S3G+jzZKuI9EZypXkM3kBVWNnsdIwRQVK39+tvXnT4U158xFPGRncnVMIOEcyYPwp8vHQe9h+rU/vLm8kP2Y7or23X/W1+oaUwdRgs6zJ4nTJhkOC2FcKKm1ev9qtk3PNld1OCyFboNY8C+onqn6x6/dgqGp7tODk7IjsODl7mvGhdCoKXdjOZ2k8cJJGdNyMBvFwxHRIjzxJSoUB3uOmckTh2d6j7oXjp1TCr+eOFop0SxxBlmjUjCP66e1OtW3zZbjtRA4u73y/pWEwoqfHs9Tzb/uHoSJmS7WNICwNVzc3De1N53IdFSbmo0HrlyYrflOUYPjsVDV0zE8IwYn7cxPlv5rBHXZU31UL2Ea04d4nLiziUzs/Cb+cOd2tAbdBzzxqfjoSsmIMzHCXSkd/zdspvafRNCCCGEEEIICUY8SC89VVJSgl//+tdISEhAWFgYxo4di61bt9pvF0Lgb3/7G9LS0hAWFoZ58+bh8GHnLq21tbW4+uqrER0djdjYWNx0001obnb+3nL37t2YM2cOQkNDMXjwYDz55JPdYvnss88wYsQIhIaGYuzYsVi6dKnT7Wpi0VrAf9tV2dCGhlYTuPVb/a5fstu+fP56cxFGDorVOryAcryqBWV1bR7HtBot2FVYi6lD+3/dYIvtpbL381deKyEEhACELNDaYe73OFwZlx2PV347C6U1rSisakZSdAjy0n3/UhpQEkwdJhlgDMx6VmOM2fddYc2JfbnpBG45a1ifbLO/VDa0o6XDAklisB16OmsS1OKQ3JMc1shsbjf1ukVvoFC75qc/1gZljCE+KgQJsaFo6jBDAIiJMiAhJtQv8ZTWtsLbvATGGFo6zLDIMiRPGdo+9MPOEggo+ytjgICAkkoTYFD2Z1kAq/aU46wJ6ZCFwNr9lcr+zTr3b+UvAIlzcMaw7kAlspN7vzbzz/kV4JyDS67PixwMv+yvxOhM5+TZbQtH4uutRVh3oAKyDEgcmDMyBee7SQoKIfDL/kos21GMUuv7QmpsGBZOzMCpo1JcJm71Og5Jz6AX3H7OYjoG1o+Jjsm5iZicm4jKhja0dViQEB2CyFC99z/0QgiBNfkVHtsnc8awdn+F1+pg4uy0sWkobWxHbVM7AAbGBLKSojAxt/8/V/SlDrMFta1GGEI636/q2oxoN/Xd55Jx2fF4+bczUVrbguOVLUiMDkVeuvs24owxnDYmFaeOTkF5XRuMFhkpMWFB/55KCCGEEEIIIYQQMhDV1dXhlFNOwemnn45ly5YhKSkJhw8fRlxc53e7Tz75JJ5//nm8++67yMnJwYMPPoj58+dj3759CA1VChWuvvpqlJWVYfny5TCZTLjhhhtw66234qOPPgIANDY24uyzz8a8efPw6quvYs+ePbjxxhsRGxuLW2+9FQCwfv16XHnllXj88cdx7rnn4qOPPsKFF16I7du3Y8yYMapj0VrAJ6lrmpzb6bqrTG1oNWoRTkBrVPkcNLRo91xxriQ4uk4usFXA+1t6QjjSE8L79D7L65WEkGOC2vavEAKMK4nqri3ZA5Ftn1Ieg3DqZiC5SYi2GS0aRNa/xmXFKYlNDztpeIiEoT6sWdpb32wtwhcbjysJTs7AANQ2G/Hx2mM4VNqAOxeM1LR6qqLe88QYRy3tZkSHa9PmvqpJ6VRgOw657QdYj0OmHIeVjUr8RpMMo1m2j1eS250JZMYYIAufz5+NbSb7Nrri1nNlfZdtFFW34J9f7kaHyQKAgXMlcb72QCW2FdTiwUvHIS2u8zwmhMCHvxRg+e4yp3W2y+vb8M6qIyisbMZ1p+U6vZ8u312CD9YcU54hh3NWu0nGqz8eRGuHGWf2Yyv55JiwPr0/iyzQbvJ8LhJC0GeHHvphZwk+WqvsJ5x3HlMnqlvw14+34+HLJyAzsfeTOLSy63gt/vPtvm7XVzZ24Mmv83HXwhGY0odJ9/T4CKTHq28tzxhDWnzffjYhhBBCCCGEEEIIIX3rX//6FwYPHox33nnHfl1OTmf3PCEEnn32Wfz1r3/FBRdcAAB47733kJKSgsWLF+OKK67A/v378f3332PLli2YMmUKAOCFF17AokWL8PTTTyM9PR0ffvghjEYj3n77bRgMBowePRo7d+7Ef/7zH3uS+rnnnsOCBQtw7733AgAeffRRLF++HC+++CJeffVVVbH4Q8C3+06MVpe979pO8WSkV1lFGedjC1W1bEk05WfnNakB5baB2IpwUEJ4twS1TedjB2LDfa8W7G+xjscVs//Ho5ggeFzexEWGYM7IFJdLDNgsmjwIBo1baxfXtOCLjccBuE6gbyuoxfpDlZrG5Jgc9SYyVLt5USkxYaqOQ1v8Bj13Wlfb1TkLDG4TzD1hu3+X50XGUFrn3Eb+jRWH0GGydKsKlgXQZjTj7ZVHnK7fX9KA5bvLAMDlZKBV+eXYe6Le6boPrQlqd97/+ajH2wONxBnCvVSfMqbd++FAYDLL+Hit+/1EFsBzS/ZrGFHvvfz9QY+3v7b8kEaREEIIIYQQQgghhJBA09jY6HTp6HBdcPjNN99gypQp+NWvfoXk5GRMnDgRb7zxhv32Y8eOoby8HPPmzbNfFxMTg+nTp2PDhg0AgA0bNiA2NtaeoAaAefPmgXOOTZs22cfMnTsXBkNnvmb+/Pk4ePAg6urq7GMct2MbY9uOmlj8IeCT1EnRoYhzWHuVc0CSrGvjOuQdLpoeHOsg9qejFU1exzAA47Ji+z0W28Y8rYEqhEDwr17cnV7qnph3ZEtONRv90+q8JxpajW4TfVwCJB2DpHM+FvsiiRcIbjhzKMZnxwMAdDoGnZ5Dp1Me6BljU3HBNO3POav2lsPTvA7GgJ+syUmtRLuYlGDbN7hDjjBULzlUXva/cdlxbtfJBjqPw6wkpbqR25LETmPgNFFBoLNTQm8JCK/nxYa2znPD8apmHK9qcdu2WhbAobJGlNZ1rqe9Yk+Z/fEA3R8HZ8CKvZ37ydJtxV47WwgAP+4q8TIqcDDGcOqYVPvxwljnurK2F1kWSst0os43W0943U+qmzpQXu99bXd/2nms1muVvdEsY6PGE35I4OLM/2tL9+riaaYdIYQQQgghhBDSzxwLdYLpAgCDBw9GTEyM/fL444+7fIwFBQV45ZVXkJeXhx9++AG33XYbfve73+Hdd98FAJSXlwMAUlKcv4NMSUmx31ZeXo7k5GSn23U6HeLj453GuLoPx224G+N4u7dY/CEo0kk3nZkHxm1JD2W9UDClHaukY8hMjOiz9YSDWUldK7zmgBhg0TAz7C5BZLvNU7ImWG0/VuvxcQNKIqq8vl2jiHpvf0kDACXxbEt0SdaErWPC0XYsMg4cLGn0V7h9inOGFpMZhhAJXOLKF74ShyFEQmO7yS9f/hbVuE9WAkp1dWmttgmiqsbO/di2bzhWBduS1VPzEjSNq7JB3fFVZk06d5gsSgKOMXtC04ZzZl8/uqHV5HNs3s6LjvXPxTXqXk/H172ougWytaW5q8chC+BEdWe19t6iOlXb6Fp9HegWTRpkPzdJOq6cx7hyvuISw6QhcT6tL36yKahoVjXuUGlgvwfsL6lXNe5AgD8OQgghhBBCCCGEENI/ioqK0NDQYL888MADLsfJsoxJkybhsccew8SJE3HrrbfilltuwauvvqpxxMErKJLUZosMSXJOfDj+XN3SAbOWmdcAFaKzJdNc3864kqTQSdok19Qkar2NCUZRod7bXTPGYFDZnt2fwg06p+ONd9l3uh6LnDPEhAf8UveqPLl4L45Xtbi8bfeJery23HO72P4Qope8NlzXa9yCXDnvWCvqrbrOPOOc2yc8aBaX3nOrZ/s4nTJOZ++A0Hlb95bcgM7HJQrUnfM6x4To1b2eBp3k8DPv0eMI9dIWu6fjAsXP+8phcZgI5Xy+AvYUNcBs8VxRSzp1PaZsE5e67tLhhsB+D7B4munTi3GEEEIIIYQQQgghZGCJjo52uoSEuF4yMC0tDaNGjXK6buTIkThx4gQAIDU1FQBQUVHhNKaiosJ+W2pqKiornTv6mc1m1NbWOo1xdR+O23A3xvF2b7H4Q+BnyQB8sr7Q4+1Gs4xlO4KnDWl/GZISBQDgkrVyTGJK8siaQJI4Q3ioDjqNkqMhXpJljDFEhwX2l9m9cfpYdQf0uVMG9XMkvps1PMn+s2My2h3GGJrbAr+NuTc1Te04XO65ff6mw9UwmrWdHDMlN8Fju13OGKYNTdQsHgBIiQ21Vui6bq1tu66+DyqQe2JwYoSqcZmJyprUEuf2c5a7x8EYQ471PKuV0YNjofdyzg7VSxieHm3/PSU2DID7xwEAMQ7rzS+YkKEqlgumqBsXKL7bVuxxvxQAPll3XPvAgtT88ekAOlunKz/bJqJYOxAwYMKQeL/FqEbXc4Nje2RHmQnqziGEEEIIIYQQQggh5OR0yimn4OBB52K2Q4cOISsrCwCQk5OD1NRUrFixwn57Y2MjNm3ahJkzZwIAZs6cifr6emzbts0+ZuXKlZBlGdOnT7ePWbNmDUymzu/Yly9fjuHDhyMuLs4+xnE7tjG27aiJxR8CPkltkWVUN7lelNzRuoO0dmBju9H+M2MMzPqlK7MmkMAY2owW1Kh4PvvCeSqSsNedmqtBJNrSS84JI1cMOo6Zw5I9jgkENc3KPtWTgvelO0v7KRrtLFUx6UUAWLu/wuu4vjQjLwkJkSEu16VmDJA4w9nWRJJWGlqN3gdZbSuo6cdInK3dX6Fqv/3lgPLeIYSADO+VzlpXqocZdJg/wfNrumhShlOVa6vR7HUySbVDm/Zdx9W1+955XNtqeF80txlhVlEJu/FwlQbRDAzDM2KcKvtdTVzKToqETsO153sjOkzpdsI5s3fpsV10OsmerI51mMhBTnKcgwXhxfsaQIQQQgghhBBCSP9x7MIXTJeeuOeee7Bx40Y89thjOHLkCD766CO8/vrruOOOO6zPAcPvf/97/OMf/8A333yDPXv24Nprr0V6ejouvPBCAErl9YIFC3DLLbdg8+bNWLduHe68805cccUVSE9Xvhe+6qqrYDAYcNNNNyE/Px+ffvopnnvuOfzhD3+wx3L33Xfj+++/x7///W8cOHAADz30ELZu3Yo777xTdSz+EPDfXpgt6totdmhc0RiIOkwyJBWtaNuM2lS6VjV2dKtMcsQ5Q4GbdsrB7s8Xj0OqtZqxKx1n+NevJ2ocUe+0Gy3219BWLetNS0fwV1K3dqhrAdzUrm11cIhewn0XjUFidCgAJSn9/+zdd5wj13Un+t+tQmygAXTOcXLOw2ES00iUaFJUogIl2ZJsy7LX2nXY9XptWVpLz2Gfn21515Zsay0HSVSkIiXmOEwznJxj55zQyLnu+6MANNANVFU30AWg53w/H3C6gWrgohLAOvecIya3icUo4vcf2oqWmipdx+RbRub8lEe/ftmBsPq4GFtYjnNt5X0jscLKQyudE/Mt8/5bunDPNrlCg8DkjPnUIu/Y1YqH9ndkLR+NqX8eZn5mallXAOAP6bu/F8KjcazUKkS7cXcQsUT+Nh2MMcz6y7/9yqZWJ0SBQRCyA9SZQXdRYNja7irtQAkhhBBCCCGEEEJIWTtw4AB+9KMf4dvf/ja2b9+OL33pS/jyl7+Mj370o+ll/uAP/gCf/exn8elPfxoHDhyA3+/HU089BYvFkl7mW9/6FjZv3oz77rsPDzzwAO644w788z//c/pxp9OJZ555Bv39/di3bx9+//d/H5///Ofx6U9/Or3Mbbfdlg6S79q1Cz/4wQ/w4x//GNu3b1/WWPRW9rWWzUYRjMkBBCX19tw14W8mzU6rapBFFBhqdVpXJ/rn5Iu9IgPnPL0N5Rkp8sXgo9em8cFbu3UZj97+18f24czAHL55pA++UAwmg4D7drTg4QOdpR6aZvUOeV9ZTu/wngb7ag1HN92NNk0Zluub9S39DABNTiv+10f34czgHM4NzSMhcfQ22XFoQ4PmPszF1OjU/gG2o7NmFUeSbV1zdTLwhKzzD5B9DkqV7xYEhjq7GbP+/JUmBIa8k0+WQxAYpDzn6lxBbEFg+MQ963H/7la8dmUanmAUNTYTbt/UmC7tnam1tgoD037k+zhgi95Hb3M1Xk5WBcg1rtSYSrG/r1SjU9t2SmXVEnXnhubBAMWWA75wHCOzQXQ3lu/ngEGUM6bzfV9iLFX+W+eBEUIIIYQQQgghhJCK8+CDD+LBBx/M+zhjDF/84hfxxS9+Me8ytbW1eOyxxxRfZ+fOnThy5IjiMo888ggeeeSRgsait7IPUgPAtnYXzg/PKy7z/kNd+gymjO1fV4dvHulDOE+mn8CAQxvqUWXWZ7NH45JiH2POOQIaM1Yr1a7uWuzqLu/+nEqcVSY0OS2Y9ITVF056+ECH+kJl7r4dLfje6wN5g3wAYDWJ2NahX9A1kyAw7Ompw56eupK8fiazUYTTKsITUj+W2+v0C1ztX1cPk+Fa+jyUa56FQWC4I6Pv+r07mvGDNwfzToqSOHDX1qaCxiUw+XmUMqo3teRuF9BSU4UPaPisu3tbM169nL8FBufAvdub07/fsakB33j5BuISzzsuk0HAvnX69jsvhFEUUGs3Yc6vXI7+Y3f26DSiypeQJE2TBuNSeWdSXx33qU7okzhwYcSD/b2lP8cSQgghhBBCCCGEELJWVUSQ+tOHN+C/fuMEonlKem/vcGFzm1PnUZUfs1HEp+5Zj688c2WhD3WGKiPTNZgvCgxSqlz74rgHlwPXBnHtpiqNuYP4y5+cRzC6sN+KAvDobd24a2uzwl+Wl99/cCv+4Fsnl9yftY9xQOISDvTUas5gLGcGQcBHbu/Bt17tz7vMp+/boOOIsr1yaRI/OzkCd0AuaVxtMeD+Xa14p879qFP+6H278d+/dUJxmV8vwfr61D3r8Y/PXpWD1BnBVy5xcM7x8bvWQchIl7xvewuOXp3C0Fwo634AkBIS3news+D9+/Pv24H/+fg5gCHnawDAH753x5K/G54N4KvPXsNURi/pZqcFv/X2TWitzR7TuqZqHN7RgufOjS95HgZgW4cLhzYsBOcFQcDH71qHf33x+pLPDs45uMTxqXvWr+j9qpn1R/D8+QkcvT6DSCyBJqcV92xtwqGN9enexm9cncZPjg9jJhlwtpsNOLyjGQ/ubVd87t9/cCv++Dun8z7eVluFnd1yEJJzjp8cH8ELFyfS5f4bqs1474EOHFxfOcF5QH4vZwbdeP7CBPqnAjAIDLu6anB4RzM66mwrft6exur0xJ0l+0nymDKIDK06txxYLq0l+7WUzVfjD8fxzSN9OD3olieBMPn4/Ojt3WgvYFss9rMTw3j+/CT8yXYb9XYTHt7fgVs3Nqj8JdFCEBkEcZlNqcpAJY6ZEEIIIYQQQsgasoIez6XGK2y8a0FFRAirrSb85Uf3orsh+4KeQWC4d3szfv+hbSUaWfk5emMGgihkZTCnfg7FOC6oZKQXU3tdFTh4OjiU1fNRYOCQyxSvRX1TXnz++2ezAtQAkJCAb7w6gMde7SvRyJbvy09dTP8siAKYwNL7WHqbMkAURcSTgYq1YHdPLeyW3PN4Gp1WbGwtzcSY//vCdfzHkf50gBqQS+z+4OgQ/ubnl0oyJsYgRz/zfYgzYFeX/utraMaf3mcBZJ1/BFHAyFwga3nOExj1RCCKYnr51N8IooBXr6iXgFfTXm+DaBDyvoZoWFqy/fywG3/6+LmsADUATHjC+PwPzuDahGfJ33Q32nNnRQsMPU3VSyYI1TvMEA1iOnCeHpMgj8lhMy3/zaoYmPbjC98/i+fOjcMTjCEckzA0E8C/vdKH//PUFcQTEr5xpA//8tKNdIAaAPyROH58fAR/8ZPzis9fZzdDzPg8zMQYS/d255zjSz88hydOjWb1o5/2RfDPL1zHd94YKM4b1gHnHN95fQB//8xVXBnzIhxLwB+J441r0/jSD8/hRP/cip97U6sD1RbD0vM/Fo6pXV01ulVrWSmtQfTFkz+WyxOI4g8eO4nj/XOIJ6P7EgeuTfjwp4+fw4WR+YKeP+XPf3wePzkxmg5QA8CMP4p/eemG4kQrQgghhBBCCCGEEEJKrSKC1ABQYzPjC4/sxj/86i1ydtT7duCfPn0IH3/bulIPrWxMe0M4PTi/5OIxkAw4MIZ/e6Uf8YQ+pTjH3KElAY/MnxljmPFqLyNdSf7iJxcVH3/h4hRisZjiMuVAkiRMemIQDWI6c04QhNz7F4CzI14cuzFbquEW1T8/fx2RBF9478mbaBDhDkbx7dcHdB/TmcE5vHl9Ju/jF0c9eP780uzZ1fY/vnMaoijKtxzrSxRF/NdvndZ9XE+fm1waTMv4/YUL2SWx/9u3TiMVaV+8fzPGMBuI4s1rkwWN6be+/pbiawDAX/8sO/j6f566ovicf/3E5azfp7xh/PsrfWCCAEFcdBME/OL02JIA2d89ufAcudo0fPkXxZ0AkZA4/v7pK4jEE1ll9VM/Xhzx4D+O9OHlS/nLlt+Y9OOJkyN5H//8D84CjC1dB8nb+REPBqa9ePzYEIZmg3mf57lzExiY9i/3LZbEif45PH8h2V88Y71KXL597flr8ASVS6Dnk0gkEEhmF+fbd8+PeFc4cv201GgLPnc3FDaJ7q9/cSlvBSAO4O+fvgKpwNLoPz0xjL6p/PvmixcncW28/LcJIYQQQgghhBBCCLk5VUyQOqXKbMD2zhqsb3YsKZV6s/vbX1xWXwhQvKhfTJG4pJpVO+mN6DIWPV0dn1ft2QkAf/vk1dUfTIF+59+OpX/WerzptX+tpqGZAPqm/OkgjyAI6RsgB3uOXp+FL6TvRIMfvjWsusyTp8d0GMmCuRzH8OL1BQCxBIek0ge2mP7xWW3nw//95ELwNaShvO+/vTyw0iEBABIaVsGl8YWg02tXplT/Ji5xnMrIkH354kIgPTMon86OZsBz5yfSyxy7Pg21uUsJCXjrRv4JEst1ZtCN+WAs77mSA3jzmvrrPXduIuf9kiRhNiP7Otd6AICvPHMdL11Un3jw/TeHVJcpB8+dm1Aso5TgHEcur6wiwD+/eGPJ+svEGENc4hicKe+A/ssXJ/JXfUhhwJOnR1f8GrP+CMbcIcVlYgmOIwVWZ3j+fO79P9MPjlbGvlvOBIFV7G0l/uEf/gHd3d2wWCy45ZZbcOzYMcXlv/zlL2PTpk2wWq3o6OjA7/7u7yIcXpuTUAkhhBBCCCGEaLf4elyl3Ii+KMq7hsxoDPie6Ft5uc/lUDuo1+pB/+RpbZmsAzMB9YVKLBhXX2ax8flwxZf87lfITEuROMfQrL7bcMqjftHXE9Q3cP7sBe1B8XGPctCmmM4MLS2BncvFUXm5Gb+2scV1DLQDUMycz/Ta1YWM4+uTPigNU+LAjQlfxt9qe43XrxZe7jylb8oPUSWAomVVZ5Y4zjQylz8zOpM7EEVYw+QErc9Xav3TfsVJUpwDNyZ9+RdQcG1c29/lmzhQLo5cmUq3qciJyd9PtEySyOfc0Lym5c4Oalsun0BEvb+2WrCckEzf/e538Xu/93v4whe+gJMnT2LXrl24//77MTWVu6rFY489hj/8wz/EF77wBVy6dAn/8i//gu9+97v4oz/6I51HTgghhBBCCCGEkEpEQeqbkCiuvcBwOdG6fmkrlC+mMftILchWbJomdei8Y5lE7R8jRh3PPVpfKbVOjWU6YUbUOC4xYzsIGv4mM8NO635czP1dYNBUcWKltO6XWje7zof6iqm9H4aVb0etf7Wcc0IppI4PxuSWBGBI31JtLQCgkGI9WleBHp8hZXpqI2Xqb/7mb/Drv/7r+OQnP4mtW7fiH//xH1FVVYWvf/3rOZd//fXXcfvtt+PRRx9Fd3c33vGOd+AjH/mIavY1IYQQQgghhBBCCEBB6jWlt9GW9bsgMAiifMu8SHnv9madR3Zz+cht3ZqW299bu7oDKYLOGvOy/2Zza3XFZ8hvaXWoLmM2COgpsGfpcnXV21SXaXZadBjJgnfuatW8bEO1fmN71+6McbH858PDO5oAAE6btrFZjPp+bN6/W9v6fVfGdtjR4VIMKApMXib9t7vblv0ahdrW7oKkEqXWMqmhzm7KeX9zTZWmcbTWWOG0GlWX29Cifk4oB9vaXYoBdQ5gW7tzRc9968YGTcs9tK94+8lqeM/+9qzf85Vzemhv9nLLsa+3TtNyt2/Wtk7zqc2z/2da31Rd0GuQm0c0GsWJEydw+PDh9H2CIODw4cN44403cv7NbbfdhhMnTqSD0n19ffjFL36BBx54QJcxE0IIIYQQQgghpLJRkHoN+S/v2gIAYAJgMApgghyYYQwQDQJEAwMDcOemRl3G01ajHvQ5tE7bhdxKUme3aAqufPLu9TqMpjCff2TPsv/mdp32r9XU4LBgb09t3mAPgzzZw2wUdR3Xh27tUl3mfQc7dRjJAqvZCC1rwVVl1HXywkP7OgAAgshgMCw9HwrJY/T9B7vTf2O3qL+TzxzesCrjzdSUMdFgS6sTZoPyR3WVSUR3xoSJOzc3wmQU8mZQcgCHd7Skf9/QXK0afLeaBKxrLl6gdmNLNTrqqhQDqu/SEKB/eH9H3sd6G9UnkfyXd27BQ/vUg/QfulXf42ql7t/ZkrdMOmOAzWzArRtWFhh95JD6+cdmFuHSOOGjVLa216hmOgsM2Nuz8u8nVSYDNqtMdrKbDdjVWbPi1wCAh/fl3/9TtHxuEGWl7itdaE9qr9ebdYtEcrcHmpmZQSKRQFNTU9b9TU1NmJjIXcb/0UcfxRe/+EXccccdMBqNWLduHe6++24q900IIYQQQgghBIxV5o3oi4LUa4jVbMCh9bXpsq+pgFBmYKi1Tlt2WTEc3tmieFAzBty1rfIDmrn89aN70z8zQQ6UZZbX/fS960oxrBVpd4lgTC59mgry5bOWTuKfuKs3HfhLva/UJtzTU4OH9688y26luhvs+EAqCM2wJDP4HTuasadb/wz9//3JfYqPMwB/9dG9isushrZaa3rdLD4fMgbUObKzEKssRsWaxkwAhmYL601sVAk4A0BddXYFgz/9wM68wVyRAV98ZFfWfdVWI/7LOzfDZBCy3o7A5Nuv3r1+SVb+nz6yK/0a6azz5B0CA774gd2q414Oxhg+e/8m1Cffa2qcqTG8fUczHtrbjo/e3pP3Od62uRG3KWT3/tF7tsNuzj/x4MG9baixm3D31mbcuqE+73KfeFsv6uzlHXhN2djiwMfv6AFDdolyBsBqFPG7D2yGxbTyyTU9jcrVHN65p0Xx8XLxZx/cnf558f4OAH/6yI6CX+N33rk5b6a/URTwPx7eXvBr3L6pAXduzv896mO396DJZS34dUhl6+jogNPpTN/+4i/+omjP/dJLL+HP//zP8ZWvfAUnT57ED3/4Q/z85z/Hl770paK9BiGEEEIIIYQQQtYuQ6kHQIqHc44xT+7sCEAOCkx6w7g26cPGImbE5fP4WyMQDQIkSYKUyBxHMnArCPi3I/34s0d2r/pY9FZlNeIzh9fh314dgMTlbQMABibgzo312L8uf0CknHhDMUwF+UKPZp4K8snvJ7NarzzTaO1EqatMBvz3d2/DmUE3Xr86DW8ohvpqM+7c3IjNrY6Svdc7tzTiwtg8bkwHUpsBMAB1NhPu3NKk+LerxWw04o7NDXj18vSSx0QB+NuP7dN9fXmCUUz6InlflzEGTyiO0bkg2mqrEE9ImAtEYVA5Z50dnscDGstj51JrN2HaG4GUJ93VIDI0OrIDovUOC/7+Ewfwry/34fTgHOIJDoPIsK+nFr98Vy9M4tKg48YWB/7yw3vw6pUpnB/2ICFxrG+uxl1bGtHgWBpwrbOb8cHbuvDjEyNIZIzNJAh4eF87ajSUFV6uWrsZ//MDu/BW3yyO35hBMJpAi8uKt21pSmdB37OtCZvbHPjuG4O4MekD5xwtLis+cEsnNrWql61+5NZufPO1fiQkDknicuthgaHGbsThjNYXv3rPety6oR6PHxvGpCcEgTFsaK7Gh27tQqOzsoJ8d22V19lLF6fQP+WDQRSws7MGt29qgM288q99Y/MhDLtDEERkHR+AfHwAwEsXp3H/9rasgG85qndY8Oid3Xj82HBW2XkjE/DQrlY0Owuf0GcwCPiLD+/G8xcm8Ny5CfjDcZiNAg6ur8d7D7TDbCjOV/BfeVsvDq2vww+ODmF8PgTGGNY3VeODt3ahhQLUBMDw8DAcjoXv/WZz7lYu9fX1EEURk5OTWfdPTk6iuTl3q6A/+ZM/wcc//nH82q/9GgBgx44dCAQC+PSnP40//uM/hlBIc3dCCCGEEEIIIYSseRSkXkO8oRjG5kOqy50bntclSB2OyVexBUFAvmtUs/7oqo+jFC6OevCvRwbSMcTMQNmRqzOwmAx4r4YynaV2ecwDicuZZpzzdFA6Mxt1MT32Lb2IAsPenlrs7SmP/uEJieP/PHsFI3PJbN6M9e8ORvE3T13GH797G1xVxQ8oKnn8rSEc65+DKU/W6ud+eBZ/86hytnWxvXZ1acA8l1euTOEjt3ZnZxwrnLN84VhB47prcxMePzaUN4gnceCOTUuzg01GEb+xzFLj1VYj3rW7TVPP6VevTuGHx0cAZJ+vJA786PgILAZxVVpFmAwCbt/YgNsVMqJbXFb8zrs2L/u5zw658a03BsAEBsOi9e0LJ/DFn5zH//rg7vT73druwtZ217Jfpxw1Oa1FL/N8YWReLpcvCjAYstdnaiKWJ/k9pL1Wv6otK/HG9Rn84NgwgOz9nQP46ZkxmM0G3FOEST+CIODtO1rx9h2r26d7U6sTf/zewrO/ydrkcDiygtT5mEwm7Nu3D88//zze8573AAAkScLzzz+P3/7t3875N8FgcEkgWkxOnOI8T+8BQgghhBBCCCGEkCSa3r6GTPvCmpYLRuKrPBLyk5MjULo09/yFCfhChQW79OAPRTL6MSiX+k5ZXKqYFM/ZYTeGZoM5e85KHAhF43jp0uTSB1fZiyqvGY5JeKtvVqfRyAIRbceXPyyfD7VmeldbjCseEwDctbVRsRfzXVsas/pL6yGekPDTk6OKy/zs1CjiCUmnERXH948NKT7uD8fx+rUZnUZT+YKRuJyJnuNYyZy4VO77SULi+MnJEcVlnjg1iliZvw+in1L3lS60J/Vy/N7v/R6+9rWv4d///d9x6dIl/OZv/iYCgQA++clPAgB++Zd/Gf/jf/yP9PIPPfQQvvrVr+I73/kO+vv78eyzz+JP/uRP8NBDD6WD1YQQQgghhBBCbk5yPKHybkRflEm9hrx8aUrTcpNebcFssjJT3jCG55T71kocODXoxtsUekmWg7cG3GBMzqJmDGAiQyLBkS8CL4hyoNRqolPLanirbw6MZZdZzyRx4OiNWbxHxyz9axPenEHzxX741hAO9Nat/oCSBmcCmpYbm5ePVUFgqK82Y8aXv2UCAOzocBU0LrNBxO//0hb86K1hvHZ1GrGEvPIcViPu39mC+7bnLqm6mq5O+OBXmbzkj8RxdcKHrW3qJbbLQSSWwGxAvVLHS5cnFbO4yYJIXAJH/rbtqS/xYpmX+r4x5YNXZZJYKJbApTEvdhZ4vBNSaT70oQ9henoan//85zExMYHdu3fjqaeeQlOTXFlgaGgoK3P6c5/7HBhj+NznPofR0VE0NDTgoYcewp/92Z+V6i0QQgghhBBCCCGkglRMJCkcjePLz1zBiHuhnLXVKOJjt3VhV6e+pXg55zg7PI8jV6cxPh+CySBgX3ct7tzYAKfOZXYzeTVmDopi+VxAXosTU/waywFPVcBkgXBMDqClAtXAwv6TmVnNk323GWOY9ETQ3VAxpxZFoWgCb96YwZs3ZuALx1FrM+H2DQ3Y31MLo6h/IQp/JJZRcj37sdT9wai+lRK07sdenSs4xDVWGc1c7F07W/GN1/rzLisyVpSS11aTAYFYHIJBgFGU+yTHwSGBQyjBSXHxPpM5hMwJEYEKqsKhtWJIKJZQX4gAAOwWg6bZpHEts1ZKSOt+XEn7OyHF9Nu//dt5y3u/9NJLWb8bDAZ84QtfwBe+8AUdRkYIIYQQQgghhJC1piIiSfOBCD73w3NL7g/FEvjay314+7YgHt7brstYJInjG6/3463+OQgM6QzCp8+P4+XLU/jP79iEjhL1YuyoqcLVcV/eLEtADj501dp0GY8gMEgKF6sZK/+Mq5WIxrWVCPVrnFRQSl11tnTmfWY514Xs6tT248n7gAlPCN0N+uxjq2k+GMWXn76CWX8kHcj0hWIYmAngtWvT+OzhjTAb9S1l2VBtQd+Uf0mvc855um94rU3fcuu9jdWaluNczm7Va51119kwOBNQPR+2uqzp3w+tr8PT58Yw5c2dTf3A7lY4rIWV+waA//qdUwgng6OpbRiXOH52egyXxjz4nfu3FPway1FnNyfHsnBfZgUFQN5+9RVUyt9RpW071ZRwYlmlaai2aFqu1lbe67Term0/rrOX9/sg+hEYK8kEokJV4pgJIYQQQgghhKwdqTailaTSxrsWVERP6j974oLi489emIA3qFyitVheuTKFt/rnACCrxC3nQDiewFdfuIaEVJo+hm/f3pLsQYclfegYQ/r+X9rVqst4BAEwGIScPfFSY7Ga1l6/Oq1BuAaHtgv+pfTxO7qX3LcQrGY57gOiibWRmfjvr/ZjLhDJyrRN/Tw4G8Djx4d1H9OezpolAerMnxljWN+kbz/jlowgr5oJHasHfOBAezrbP9eXi9Rki0/c2ZO+763+OcwGojnPn6LI8NKVKUQKzLz9u2cupwPUuVyfCuD0wFxBr7Fc3fW2dI/szN4rmT8LTF6uUoiCAJtZ/Vz89hKUV69UuzprYDHm/9ooMGBbm7OkFWW0aK+tUv3uYRQFrG/SNgGHEEIIIYQQQgghhBCyMmUfpHb7IwhF1YO+Xz+Sv0RrsUic44VLk3kf5xzwhmI4Mzy/6mPJ5dkLEwAAQZADwwaDkL6JogBBEMAYw5BKv+RiEZOZnYLAYDQKWbdUP7u12Ii+yWGBlgTxrrryD/hcnfBl/S73Q86dmpralvmyUCvJ+HwI1yZ96YkoqUBnZlbp0b5Z3cvBjs4HswKHucz49V3/kbj2oK1R0O8jZ2BWbg2RWl/yBJ6FW2odjnsWAucvXJyUM+YWnbMMBvncGYomcKLAAPK1Sb/qMo8dHSzoNZbr7Ihb7jWcZ79ijIEDOFeiz7aVkCRJcTJAyoVRjw6jWRtMBgEfPtQNYGlfaoHJj79vf4fu41oubyimet6KSxLm/Oo9zQkhhBBCCCGEEEIIIStX9kHqN25Ma1pOj8CrLxTDXED5oqXAgL4p9SDEarg05tEU9D015NZhNEBCQjo4BCzKyksGibSWxq4kVWYDDvTWLbmIn8lVZcTWVqduY1qpU4PujKCefJ/aPjas0ySI1XQjeQwvBKczs0vlW0Liur/XvqmA6jL90+rLFNNyzndNTv3KRZ8cnMtZxSGTIDCcHJDPh9G4hLH5EMCQ85zFmHx+v67D+T0Y1bcawWtXZ1SPa8YYXruu7fO4HMwFouBYOG8tljqOb2iYNEAWHOytw2fuWY9mZ3YlkM0tDvy3B7Yuq7JCqQzOBgDVfYOhf5r2DUIIIYQQQgghhBBCVlPZ96TWmmirRz6ulgAw02Uk+V9d01I6ZS8zACwj2LP49ddgEnXa+/Z34NqED+5gNOt9cg6IjOFX71qXM4A2MhfEi5cncW7Eg4TE0VFbhbs2N2J3h6skWecrecm1sFkzs6Zz7bupXr26v9cyXLksGexR6v0sLyeXYNZL5oQYILsCQOY2FZD7fLR4u6f+PpEo3sSaxa+ptg5Xi/bP2eLvgLP+CF66PIUTA3OIxBNoqLbgzo0NuKW3DgaxgP0lq2T50goQ6e1bhsdUueust2FHhwuB2CzCsQRqbSbs6KhJ9zYvf/n3jazPWdo3SFJqsl6lqcQxE0IIIYQQQghZOxgq7/JKpY13LSj7TOo7NjZpWm5d4+r3Ya22GNBQrXwRNsE5NjY7Vn0suezqcGla7kB37eoOJMlsFPKWhk6pMpf9PIkVCUXj8Ebi6YxxuQS7XIads9zZxqeH3Pirpy7hxMAcwrEEYgkJ/dN+/OuRPnz32JDqulwNB3vq0j+nskqVxsEYw56uGj2GtqocVqNiWe3UY7U2fXuvbmxW75GqZZli6qyzpoM9SqrN+n7Ep/bd1IQDQWAQRbn1QeYkhAO98vnQKAowKFzQT5W8FgsJnKafK3+2NgDYLfqeF/d0ajtm93cX99genAngL39+EUeuTsEfiSOW4BibD+G7x4bw1RevI1bAhIA6mylre6bW8+LjenNLaT6vK9XYfAh/+fOLeOnKFILRBCQOzPijePzEMP7Pc1cL7tmuh94GW1ZLjlz7BQOwvpF6UhNCCCGEEEIIIYQQsprKPkhdbTHCYlAf5iMHVr8PImMMh7c1531cYECd3YTtbaUp4/yO7eoBfQagu2H1A/oAFIN8qcfFNZrl8TdPXwGwdB2kfv/hiREkEgsX872hGP79tX5wjnQfZABI/fj69RmcGNCnTHumnoalfbPVMroPratfreHoxheOaVpO7/7PmzQEoHt0Or5T3EF5XcmZZkszt1L3hxP6Hutd9basbPh81Rxaa6oAALGEBAnK+zdjDH6N+0Y+3fW2jNfPPaaH97QW9BrLZTSImpYzaFxOi4TE8bVXbiCakLLOeSnXJ3145vzEip+fMYZb1tUtuS9zOiQD8NBufdd1JeOc419euYFwLJFzmw3NBfCzM6P6D2yZ7BYjDvbW5Z1YIzBgT1cNanSehEQIIYQQQgghhBBCyM2m7IPUAFDvsChm6TEGnBn26DKW29bX422bGgAgOxMHgM1swG/eu6Fk5fWOawliMmB4Vp+etVoyf+PS2utJPekNaeop+/iJkfTPb96YgZTrqn8SA/DSlcliDG9ZfnZ6LKMvs7a/MWmYVFLuBI1vVu9j/fTQPJQqZuvVMzlTIlX6PFUxQBRgNBnSN0EUwBiDBCju48X2wkU5wKmWDf/iJfm40rrNx+ZDBY1LAs97bkyNdWi2sNdYruuTPk3H9+BM8fat8yPz8IZieUuccwBHrk4hXkA29YcOdqLVZYUgChANovyvKP/LBIZP3tkLs3FtVvNYDdcmfZj2ReQANWNggpC+gTFwDrx5fbYisqkfOdCJJocl52O1djM+cqhL5xERQgghhBBCCCGEEHLzKfursxKXy3/KF+951gXtzCy5QZ0Cr4wxPHKgE3u6anHkyhTG5kOwGEXs7arBofX1qDKVbpVeHvfK5aSTKynfuro84UVH3dIM2WLTEqRmJerBupqO981qWu7SuDf98+BsAEqrggMYng0meyHrFxg9OzKfne2Z3L8458gacHIRgTGEYxKspuJlXJbCxmYH5DNOfiaDgG4djqNM/TMBAAyM5TnGGcPgjD7nwhSBZ2QBCwKQOaEhuZswQQA4x6QvjBanVZdxvTUwq+lYOdY3g3u2NIEpbu0FsURhJ60xd0hxXIwxXBjTZ9JVyrhn4TMWyP/ZMe4JF+01B2cDEBmgtDqD0QTcwSgaqnMHE9X4wgkEYhIElr11UxMUzo16sTej/cWIO4jXrs9gaC4Ig8iwvdWFQ721qLYYV/T6a83gbDB5nskzU4YxRBMSJr1hdOp8blyuyxM+TPmjEAQBUsZkOSYwzAVjuDTuw9410LqCFIcoVGbln0ocMyGEEEIIIYSQtUOt0m45qrTxrgVlH6RmkLMDJZ7aqXMvo+eFGMYYNjRVY0NTefUrFDN6nMr/5l7OoJSKWUScqYX5UsusLZG4tiBWNL5wYVxgTDUoWooMfWHRiJb0z00OiUsLkxJ02r1WVa3NhN2dNTg97M6Z6ckA3LmxAWajvsH4VDtkpWNc7/UvGtKDyopdyT2cOURBgCRxcAkwFaGfs+ZxaTy3iOLyjiupwN7wWpLJQxoqMRSTOVnGW+2zo5jbb3HgWGm5lXr+8iSC0Xje1zk55MbdmxvQVWfD85cn8cTZ8fT3DQAYngvhhcuT+Mxd69BV5kFXPSQkCVn10jMwlpwgx1hB20wPEuf44cmRdPl3UVh6Hv/RyRHs7nCVrDIOIYQQQgghhBBCCCE3g7IPJzHGUGs3Ky7DAWxpcegzoDJ2oKdOfSEAuztdqzuQJAkMTOECLxMYojqW/9XLNo09yTvrqtI/b2l1KAeombyP6z2TZ1fXQpYhkkEIJgCCyJIZs/J4BJHJ90G/SRCr7b372mHOU7rcUWXEO7e36DwiYEur8r4lMGCbyjLF1pTMck1t/+yJDAtBTyYwhKJx3cb1wE5tvYZ/aWcbAG2VHwC5l/Jq0zvI9/ZtTdqW295ctNfc0upQDdjX282oXWFfYM45jt6YVXwNgQFv9c/h0rgXT5wdB5A9iYADiMQl/PORPoQroIT16lOeWJA69su95UPfdADzQeXe8t5wHNd0bp1ACCGEEEIIIYQQQsjNpryvJAKIJyT4NWSVNTpXVg50LdnW5oTdrJwc311nQ41NOehfTExgEAxy/08kM28z71uDMWo0u6yaGjgf6KlP/7yvuxZ2syHvn0kcuHeLtkBSMXXUJrMH0+WcM0p/LwpEAnK291oJ5vz49ChiAARRWEgeZPLv/mgCT1/Uv0f4LT11sJrEvPsJ58Dduu8ncvakWvkWxoAJb/HKRavZ2uaCWpK0yBYC/1qzlws+ZWk4N9h1Li+9vskBi0pgscokLpwPiqC3wY6O2iooJaoe3ta84ok5CYkjHFfuZy1xORj54pWp/McU5LLjJwbdKxrHWiIK2ko0BXSuBLBcvrBygDrFG9K2HCGEEEIIIYQQQgghZGXKPkg97gkjJnHFjFzRIGBgNqjjqMoTYwy/987NebOYaqqM+K171+s6ntRNEAWIBhGiQYQgChmP6TYc3TitRmxpUS4FbzaK2NG+kPFqNoj4T/dtWNLTPBXb//AtnVhfgvLyDqsxHYAEkhmxeTZaqnRqRCUwVAnmAlGcGfEAyWoAokGEaJT3X3nCBcOr16d1D8hXmQ34rXs3wLKozDhj8r7ysdu6dS9LPOIOpXuV55M63o06lvsGgD9+cKvy4w9tT/9sNYly72wVVlNhXTLsFoNyoJoxdNXrX1r6jx7cljdgLArq63K5GGP49F3r0v2mUy+dGsN9W5pw6zpt1UFyEQUGq0o5foEBDosB16f8Ocv6p8cKUFYt5M82LRyW8u4k49A4CUTr+yVrnyCwir0RQgghhBBCCCGlIscSKu9G9FXeVxKxkLUmiAK4wMElng6GMCYHkOQASenGWE7q7Wb8+ft34unz4zjWN4dIPAG72YC7Nzfijg2Nul6wMooMMZVUaatJ356+enn/vg78zewVhKKJ7OBdsvf0o4e6lgTs2mqq8PmHt+N4/yzOj3oQT0jorLPhtvUNaKjWL/s9U3ddFapMAkIxrpopC8jHZN+MH7W2WsXlyt21SZ/qMrEEx9BcEBt1njzQVWfDFx7ejmN9s7g45kVC4uipt+G29fWqrRFWw3KqITQ69K14Ue+w4v/74C7831f6cWXCCw454Li5pRqfelsvzIaFj0BRFGE3G+CPxMGl3BMtmCDg7k0NBY3pzg0NePr8BCQAWHRukP9huG39yoOzK+WymfD/fmg3vnd0CKeG3IhLHEaBYW93LT54oAMGsfjnameVCX/wwBacGZrHqaE5hKIJNDktuG19Azpqq9SfQAFjDLf01uKVq9N591GJAwd7avF636zic3EAvPAc+oq3s8OF7x0fRiyRe10wAD0NNtSV4Dy0HD0NNtRUmeAORvMu47Qasb7RruOoCCGEEEIIIYQQQgi5+ZR9kLrJYYbJICAal+QgWY76rZwDPSXIPIslJMyHYjCLgpxxWiZMBhEP7W5HlVnEsDuMfV012NHm0n0cW1ocODviWUiRy2F3h0u38eTiCUUx4YnAVWVEUxEDaI0OC37vHZvw41OjuDjmBWcAONDmsuLBXS3YmqdvsNUo4s6NjbhzY2PRxlIIxhgeOdiJ/3htUPPfSGughrvWtyCVaHZMlcmAOzbIQemYJGFLs2NJFr5e2musmia/CAxoKEHwymQ04Lfu24AjV6dwcdyHzc123LUpd0n0j9/aha++dCNvRrVZZHhHgb3I37axAcf65+AORsF59npjALa3O7GuIX9wbNQdxOh8GG0uK9pqrKqvJ3GO+WAMHBwuqwmiwrYyiSI+dlsP9nbX4PpUAOsbbdja6tL61lbEKArY31OLjS3ViMQkOK3GnNVAOOeYD8WQkDhqqpTfR8p9W5pwctANfySe85g+0F2DzjobuuqqMDgXzDvZjQHo0blCQTmyGEW8e3cbHj8xsnBn8rONQc42fXh3W6mGp5nAGD6wvx3/95W+hakHyfeR8v597UWd1Lda3zUIIYQQQgghhBBCCKlkZR+kNhtE3NZbh5evTkMQs3vgci5nVTdXW9BdV1jW1XIEInE8c2kSbw3OpTOKOmqsePvmJmxpceg2jnz+/MlLcGf0Urww4QMwhINdNXhkX4du47h3cyPOjnryPs4AvG1DYVmJKzUwG8C33xrCXHBhPVmNIh7Y1oxDvcXJYrw04cW12QCM5oUMxOlQFC9dn84bpC5H+zpr8dibQ4gn5OONMbmEZGbpb845JImDc+hebno1dGWcTzLfq3zOkQPxApMnHegtnkjgq6/0Ycgdyrq/psqI/3z3et37GRtEAVuaq3Fx3Asgdzl4zjnu3tQEg87lvgHgH168igH3Qi/s67MBPHFhEq0OC3738MasZTe3OPDgziY8fXkaQPb+zcDwpw9tK3g8NrMBv7SjCd85Obr0NRjDh/Y05VyHL1+bwpPnJ5CZxGoQgF/a3oI71i89j0qc442+Wbx8bRru5Hmu2mzAHevrcdeGhpxB3u8dH8RbQwvn7CN9swCGcKDLhQ/u6yzkbed1dcqHZy9OYmAumHxPDPs6a3D/1iZUW4zgnOPYwBxevDqN2YCc+Wozibh9XT3u2dQAg0KJdofViPfta8Njbw3LWfQZ69piEPCRW7oAAHdtbMS/vzEgl83P6LucOq8ZBAEHeyq7OkSxvG1jAy6Me3B9OpAO4nLOAQ68c2sTukswYXAltrc58ciBDvzs3BjiEk+f3w2M4f5tzdhVpAl0/TMBfPv4UPoYBJLfNbY341CP/hUTyMowMAgVWO+LKc0SJYQQQgghhBBCVpnAkLe9YNmqtPGuAWXfkxoAWpzmJQHqFEEQMBuMqpYhLpZgNI6/f/k63uyfzSp5OeIO4etvDODYwJwu48jncz89lxWgznRs0I1vHh3QbSx11UbFTCQmMNRV6T9Pom/aj394+UZWgBoAQrEEHj89iucvTxb8Gi9cnsIT5ydyPtY/E8RfPXO54NfQy//zi/NgIoPBKAdvRDE7QJ0iigKsJnFNZIm1uqyot5uWvNdUH3VRZOhtsKNa54Aw5xx/9uTlJQFqAHAHY/jSk5cQjOY+/lfT+/a0J9dV/n7l9Xb9q038zbNXsgLUmca8YfzlU5ey7ht1B/HMlZncpe0Z8KUnLxY8pv5JH757aixv+fwvPnNjyX1PX5zAE+eyA9QAEJeAn5wdxwuLzlmcc/zw1Ch+fGYsKzjmi8Tx5IUJfOPo4JIqAP/xRn9WgDrTW4Pz+I83BzS+Q+1Oj8zj/77aj8FkgBoA4hLHW4Nz+N8vXocvHMMT58fxg1Oj6QA1AASiCTx7aRL/+voAEgplDwZn/Xjs+IjcZmHRuo4kOD7/swsAgO2tDjRUm7MC1CmiKGBra3XJKhWUm8eODaJvNpjVn4cxBjDg6ctTODs6X7KxLce4J4QnL05kTV5gjEFiwDOXJjE4Fyj4NW5M+/CVV25kHYNA8rvGqeJ81yCEEEIIIYQQQgghpJJVRJD6+6fGACwNiqV+T3DguUv6XOx77vIUZgPRJaVDU7/+6PQogtG4LmNZ7NzIPCJx5fLDZ0a9iMQTuoznr56+CkFYCGqmpIJ8gsDwv19aGpBZbd84ply6+umLk4jGc/ek1erJi7kD1ClT/ihm/UsDjeUmnkjAE5bSATUxz2SR1O/RhIS5QP4+n5UiIUnwROTjON97nfDmDn6upmcuTcIfzX/8Shz4+uvaS7MXy5dfuAJBENLHdabUOeCHZ8Z1H9e4L6L4+GwwhnB4YTv+wyu5z0epbR5LcPz83FhBY/rKa/2KrwEA/88vLqR/TiQSeO7ylOJzPnkx+/OvbyaAowoTpi6Me3Euo8qFJEk4N67ch/3cmFfx8eWKxBP4/omRZL/nbBIHvOEYfnBqBK9cm8n59xzA1Sk/Tgy5877GPx5RXtfRhIQXr0zi1Mg83KFY3mP9wrgPQxmB9JtVIBrDqRF5v8m3rr791pDu41qJx0+NIpqQln6X40BC4vju8RE5Q7wA3zymvC6K8V2DEEIIIYQQQgghhJBKVvZB6jGPHMhTy5R+VoeMlLgk4djAXN6+lYB8cfPk0PyqjyWXbx/XdnH4Z2cLC7JoFYzJF1/l4KYAg0G+iaKQ3p7jXuUgUrGNuoPwR5SD9BzAC1eUg0JKTg1py6b/pyMDK34Nvfx/z15N/5wv8zMTYww/P6/P/rWaXrsxC87zn3cYYwjHJVybUg7sFdur13MH7DIN6hxMC0UTSB1SqVLwqWPdYBCyslNn/fod73/7/BVNy/3dSwuBzNjiVOUcXtGwDQrlCS+co56/Mq3pb17KWO7N/lnFUjoMwOt9s+nfv6UycSflG0eLNwHizIgH0UT+AJ3EgUvjvmW9j0yxhIS4hubyT1+cxBt9s4qVfAQmr9Ob3fcye1HnEZfkaiXlbNIbVuxBzgFM+yMFnUtHdPiuQQghhBBCCCGEEEJIpSv7IPWNSW1BIA3XogsWiCQQUcl6YQyY0jEQkymmMSHnxkzhZSwrldaLzqPzK89yPj0yr2k5X6Q0GffLsbhMKaA+YWRgtvIzDkc0bv/+GX3fq9r5pxTcQe2Z89d1DF5N+bSNK9UeIRDRtrwenzWZ+me1na9vzCys20lvRHGcHMBURpb54Jy2/X2oCCWQU2b8EdWeNBzK65snnyeXCY+2SgcJDkz7IkuyuTNJXA5s3uwmNU4qu6zxe1upTGv8jjatUolByYDG7xqpiZikvAkCq9gbIYQQQgghhBBSKqmkt0q7EX2VfZDaYS2fPpAmg7bVZdG4XKlUm8tnnerNprGvqMUorvg1XFUmTcuJFXDxMNULfjm0ruNyZtW4/e3mle8nK1GOu4zZqP18V2PTdmwUg1Hjvps6Ds0GfbelVlUmbeOyZSxn0bBNzBmfU1qWl5cr3joyGwTFwHCK2lbM97nssmobK0P2usi3TDHfe6VSW08pLqv+/eeXQ+v7MBewze0aPwe1ftYQQgghhBBCCCGEELIWlXc0FcCONpem5Vod5tUdCOSLiRsa7IoXzSUO7GxzrvpYctnSZNe03Lt3tq7ySGRaQkRGnaNuO9ocmgJ992xqWPFrPLitSdNy9xXwGnr55QMdy/6bd2p8/+Xsrg31qsswAAe6a1d/MBm66qpUl9E7cF6rcVIGAGxo0HaOKoZP3NqlabmP7Jf3cYOobb01Va/+Z03mKerB7drO1w9sb07/vLvdpfz8DNjbsbDMowc6Nb3Goys4H+Szo82p2DqDAaitMioGsgUG7Ml4H5mqrdq2U3uNBbs7aqA0SZJDfZ3eDO7fqu3cfkt3zSqPpDA99TbVyR9GkWGTxu9UuWzX+F3j7o3l/z2AEEIIIYQQQgghhJDVUvZBakEQ0Oq0qC73mbvW6TAa4PCWxryPMQZsbqpGe416IGk1fOLW7qyxiAJL34TkFXiDAN3G947kumLIHososHQQ5lOHenQZS4ogCDjUoxxYbHaY0eq0rvg1jEYjaqvUM8nu2VT+wdwtra5l/83mZgdm/BH8+MwY/vQXF/G5n57H3z5/DW/0zyIulV+56lxqbWbVYOSmZjuMor6n0Ef3qwcT37NLn0koKYwxPKQheOWyGnQtl9JbX61pue0ZE6H2d7nyLpfyW3f3rnBEss4a9c+zT9+xsJ1rbCbUq2SgN1ab4bAuLLO3swYuqxECk8vUpj8HBAbGALMo4FBvXXr5VleV6oQho8jQ4izeZ0djtQW72p15JzNxAA/taEWdzZQz2McYYBQF3LEu/4SSna0O1XF8+o4e3LGuDmZRyBmoFhhQazNhFwWpsbXFqVopZlNTNUSNEz5KxSAIePtm5XPW3RsbC6quYBAEHFSZxNTsMKMlx3eNsfkQvntiGF944iI+97ML+PuXb+DksBuS0qwOQgghhBBCCCGEEEIqUNkHqQHgd+/bqFii+uMH22E16lNiuLfejo/f0pUuMSoylr6AvqWpGh+7RVtG2moQBAG/cXu33IcuebV9oZa+HCj+1dsLC7Asx+EtzbCbRYjJQF5mTX9RFFBvN2F9s36ZlSnv3d2eN9u9wW7CZ+/eUPBr/N59GxWzqH71tu6CX0Mv//NdGwFAMdMwhTGgbyaA//3Sdbw1OIdwTEKCy33af3p2HP/6+iBiifIPVEucIxxPKC4TLUF/aGeVCZ+4Nf855vDmRuxq1z+L8faNjYofJgzAH79rq17DSWu0KQeZaq0CeEbg50P7OtFVm3+Cyof3taPKWFgp48/esxFVCuW1tzdXY32jK+u+/3p4AxyW3J9xLqsRv3fv+qz7LEYRh3prIQgCGDI+BwCIgoDtbc4ln6l/+kubka9CusiAP31gs9pbW7YP7evAznb5XCww+fMUkAPiH97fge1tTnzmzl40OyzpZVLn1WqzAb9xZy9qFDL5P36oG22O/JMCfvmWTliMRriqTPiNO3vhSK6TzNdpqrbgM3f2am73sdb94Ts3wZxnR2l3WfFrt+s78Wylbl9Xh/u3NkFg8vkp9S8DcNeGBhzenH9Colbv39OOHXm+azTm+a5xYcyLf3jlBs6OehBNSEhIHGPzIXz/5Ci+d2JEMVDNOUc4lkBE5bOLLF+p+0pTT2pCCCGEEEIIIZVIvi5ZYbdSr7SbEOO8MlIz/OEYvv7mAMbmw+lAJwPwrm2NuHN94RcTlysal3BmZB6TvjBMBhE7Wh05M2L09vTFCbx8bSZniVQGwG424L+/Y5Mu/ZBfuzGDJ85PKC7z4X3tJctQm/FH8OSFCcwFoqgyibh3UwPWNWjLvlTz07NjeHNgDvG4lLUtGACDKKCmyoTfP7whPZmg3J0YnMP3To2mf5ekpXuYfCJnsJsNCEUTeffBezY1qGaxldrVKR/+5fUBALnfa+rC7387vBH19tUv/7xYPJHAz85N4PyYB5wDnbVV+NB+/SbrLPbTs+N4o38WiYSUc7sbRAGfvr0HPfU23cY0Nh/C3710HYDyNvxPb1uHztrsDOE5XxhfebUPvnAcDMCGxmr8yi0dMBiKs35jCQlff+0GbsyE0uuLAbijx4l378lfpvzyhBc/OzeOYDQBm0nEu3e1YmPj0nPWtC+Cv33hmmKp7E8c6sKmpuy/dQejeOzYIAbmQun7umutePRgl2IwuFCT3jDOjnoQiSfQYDdjV7srqwc05xx9MwFcnfJD4hydNVXY2uLQ9DnmC8XwD69cx3wonv7uwDnHLd21eO/utvRyEud4o38WL16ZhjccAyBne9+/pVFz25GbyYnBOTx7aQqRhASnxYBH9nWgzVX670DLMR+K4pmLUzg17EaCcwiMYVebE/dvbUatSvWC5Vj8XeO+TY3ozdH6IBCJ4y+euYJEjvNVyvt2t+JAV3aGtsQ5jvbP4dUbs5gLRgEAHTVW3LW+Ads0VBMg+Xm9XjidTvzJj0/AYtN/UmWhwgE/vvSeffB4PHA4aF8ghBBCCCGEEKKP1P9Pt//hnRDyJN6UKykcx8hfHqH/l9ZRRewhvlAMf/X8VcQSPKtcLAfwiwtTmAvE8bDOJW5NBkH3frRq4gkJbw7M5Q1McAC+SByXJrzY3rr6fbNfuT6jusxzl6dKFqSut5vx8Vu09a1djkg8geODbnCOdBZ5Jg5gLhjFjekANjSW/0XP44NuPH56DAzy2FPl2zMDPikiYwhG82dxcQBv9s/h3o2NukyUWKlZfzT9s1Im0mwgWpIgtUEU8d7dbVlBtlLhnOP44ByA3Pt7yi/Oj+E/FaFKgVYzAXkbLt5fgYV9lgOYCUSWBKlrqy343CplfscSEv7q2avwReJL1tcbQz64I4P4lUO5z0ubmx3Y3Kz+5ejowBwYQ96ezwIDXuubzQpST/nC+Mcj/YjEEzBkjGvMG8Hfv3QDn3lbLxpWaV9vcljwdoWMZ8YY1jXYsW6ZPc19YTnox5PPkfl8xwbdmPZF8Ok7eyFxju+eGMHZUQ8AOdscAOYCUTx2fATv8Edxzyb9J8OVs31dtdjXVV7fgZZjxh/BV4/0IRxLAIyls/jPj3txdcqPz9zZiyaFfXI5tH7XODE8n3NCTaZXb8xmBaklzvGd48M4N+bNWm7EHcI33xrC/VuaqO81IYQQQgghhBBCCClbFVG/8lvHhxBL5L9w9+bAHKZ8ER1HVJ7coRjCMeUSxAKTL17qwRuOqy6TyvpZS6Z9UcRULjQLDBiZD+o0osI8fnohgzoV5lkc8En9LgGKZc4BIBhNwBOKFXmUxZWZxVmM5daySFxS3d8BYNSr7znaYhRy7q+ZvzMAlgL6zq7ET8+OwRfJf268POnD5Ulv3se1GHIHobRJJA4Mu7PPPz84NYpwPLHk7yQOhOMJPJ5RSaFS/NOrfYrZ5P1zQfTN+HFu1JMOUGdK/e0zl6cw7gmvyhhJafzo9BjCsdz7eyQh4XsnR3Qf04hb/TvBlC+SlWl9ZsSzJEANLOy7T1+axISX9t1CCULl3gghhBBCCCGEkFJZaEVbWTeir7LPpA7HEhicUw+qPn1xYlWyYiuJQWNmajllsGqIbVUcLeuX84VsvXJ2tH82/TNjDJwvVDPIPF+nMzY519S8upz2wVw2N1fDIDDEJZ4uY57KJOcSBwfgtBjRUVNZ5W1XA1cMA2Ysp/OxHo1LiyZTZI8l9Vg0R//WV65P4+XrMwjHJDAAdTYTHtndjnaFftVanc4RDF3s2UtT2Ny08nIyWj4LxIwVMuENY1hh8pLEgcG5ICa94aJll662hMQxG1CfBPWj02OwmQ3p4zsXgQHHBuZ0r9hSiClfGEcH3Bh2ByEKDJubqrG/swY2c+Ff+4LROJ6+NIUL4x7EEhw2k4hD3bW4Y10dhAr4XJv2R9A3G0j/vvjcwDkw5gljbD6EVh1LmIupxtgK58pUL6eUN/tnNe27795ZOfsuIYQQQgghhBBCCLl5lP3VxDkNF5kBYJIyqeGyGlGr0jdU4sDGpuL0XSa5NVabUa0SCOAANlZAqe/Lk76s3+XZRAslsFOBPkFg8n2MqU48aLCb4CjzXhRWo4jbe+sgCgyiICQDA3KgWhQFCALD4c2NFdNTfDWpVW/IFIyqV1coloFZOSsx3/6a2nQDiyZBffmFa3j60lT6fcklwaP46mt9ePHKdMHjiitUBUlxF1hhYnGv6cUYgC3NC8tozbSspIol7qC2sXrDcUx4w4pTLSQOjFdQNuqb/bP4u5du4NjgHEY9YQy5Q3j28hT++oVrGJorrILHhDeEv3z2Co4PuRGKSYhLHJ5wHE8nnz+W0H4+KJXJ5LZUOzdM+PTd5hsbqxUn8wgMWN9gz/rcmfBG1PddqgJACCGEEEIIIYQQQspU2QepjQo9TrOtwZTcZWKM4e6N9XkfFxjQUWNFZxllf4prMMYnCgxv25B/OzAGrG+woVkhIzEYjcMXjkHSO/10EbMh+/jLjMkuZFRnb8RWp0Wx5PfdGxoqomzGXDC65D2mAxmMacrSvBloP0cDJoN+Hzlmo6C6vzKWvY9//+QwphW263NXp+DWYbsXethvVOndzCFXC0jRug0NFXTCtmosxS8wwKjhfWlZphz0zwTws/MTALIrlXDI1QX+/eig3Id5hb722gDyxaHnQ3H8x9GhFT+3XoyitnPDcs5txbCj1QGnxZD381PiWPLdQkviulDmlUsIIYQQQgghhBBCyM2r7IPU9XblzOCU0DKy+day/Z01uHtDA4CF3sCpy5MNdjM+frBTtwChzaQeJKhRyfyuVLf31uHWnloAS7dDq9OCj+zvyPl3F8e9+MdX+/CXz17FXz1/DX/13FW8dG0a8RJlpzGe/bpKfRlSWdYP7mhBvc0s35d8LLUO7t3YgD0drlUabfHMBaK4NOkHkMy2Y/Lkg2SyOADg6OAcIjlKRd9s7GaDauUAAKgyCjDoWAq4p7YKwNJJFCmp+zc32dL3nR1V7wX9vVOr36s2UWCU+ty4V3GiiCAA16YXyh2vq7fBqBLIMokM6+rLv/pDis1sVFwHKZubq7G91am67PZWZ3EGtspe7ZvJ+144gHBcwsnh+RU999nReYTjyp9FfbMBhGP6VUxYiWaHRcNnGUNTtVnXcRlEAZ+6rQf2RedTlqwC/p6drVi/aAKKzaTl3KttwgbJT2SsYm+EEEIIIYQQQkipMFaZN6Kv8q65CzmjlDH1zLJCMoPWEsYY7t/ahF3tThwbmMO0PwKrUcSONie2NjvKrhewSedMJb2Pjj8yAAEAAElEQVQwxvDuna3Y11mDtwbdmA1EUGUyYFebE5uaqnNuh9f6ZvH0pUlkPhKIJvDi1Wn0zwbw8YNdmvuOF8v5iUD6xKwlbsYYw4UxLz57zzpcHPfh3KgH4XgCjdUWHOyqqZh+tql+pekJBpmZdlzuUx1LcIy4Q1inkrV6M3hoZzMee0s5eHv/1madRiO7POVXnZDDGMPV6SB66qsRjSegZSpIoaVztXyexdVq5qu4OuUHGANLVhhJvd7C6mDyMkkWo4jb19XjpWv5y5nfsb5e10z4TFO+CI4OzuHatB+SxNFRU4VbumrQXWdT/Ltbe2rxWt+c4jLv3dUKbziO44NucL60w7rAAJvZgN3tlRGkvj4dUG25cGPGj9t665b93KdHPJqWuzzpx+5217KfXy9ay9uPecJorNb3M6ux2ozfv28jzo56cGnCi1iCo9VlwcGuWtTalk7qC2hooRCiyVSEEEIIIYQQQgghpEyVfZBaklIBIp73wr48w6G8gq+l1uyw4N07W0s6Bi0B8bVehrLNZUWbS728+lwgiqcvTQJYWrieA+ifDeL4oBuHktnZeloI0GpbPi5JMAgCdrY5sbOtMgI7iyUkaUmAOoUxBs45BAbVYNDNYkerC3dtCOPlazM5Hz/UXYuD3fruu1pL5UtSKpCrbflCN7ken2ep96507C5+v2/f0ohANI63Bt1ZmbgSB27prsF9mxoLGtNKXZzw4genR9NjAYArUz5cmvThng0NuGt9/tYKD+5oxbQviqvT/pyPf/JQF0wGEfV2EZ841IVvHhtCOL5w7EsccFiM+NSt3TAbKiMbVctuvNLzltZjKlHmJ0atwyvV2zAZBOzvqsH+rhoNSzPFiS/01ZgQQgghhBBCCCGElLOyD1LbLfIQUxf2gaVZYYwxTaWlib666my4NOFFPJH76qlBZOiuq9J5VOXpxLBbNcPy6OCc7kHqFqcZo54IFo4+dR1l1PN8pUyioBgoTD1WReedtHdubcat3bX4welRjLhDAOTJMh/Y04Y6u75lcwFge4sTRwfc6su1OgAAZqO2j8Nc2YzLpfZ5ZikwY7m7zoZpfyRvkE1gQHdt1aL7GN63uw2399bh1Mg8fOE4HBYD9nTUoFHnsscpnlAMPzg9uuR9pH5/8do02l1WrKvPn1H9ydu6MewO4vFTo5gPxSAwYEtzNd6zqxVGceH4Xddgxx/evwlnRjwYdgchMIb1jfayrECipKPGisG5YN7zNQPQWbOyz91NTdVZZeLzLtdYrbpMKbW5LJoqGnRWwGdZV61Vzp7Pcz4RGENXLX3PIoQQQgghhBBCCCHlqeyD1IwxNNhNmPZHFbPCPrS3XeeRla+5QBRvDMzh/LgXsYSEOpsJB7tqsLvNpevF9tt6anFh3AtRZBAYyyobLUlyJuEtOmdX6skbiuKbx0cw5Y+k77OZRLx7ezM2NTmylp3yRVQvmM8GouCc61o1YGNjNcY8EU0X9FMSkrwPvjk4h/NjXkST++CBzhrsadd3H1ypuWBM07qeC0Y1ZcrfLC5N+TDlj4Int/G4P4KfXhjHR/e2w6QxCFwsvfU22EwiAtEERCE7O5lzOdvTbBDwzePDSEgcrU4LmqrNmPRFILClVR5Sk20e2dNW0Li6aqwYdIcgCHnOiwDevbNlyd8Fo3EcG3Tj5Mg8gtEE7GYD9na4cKCzBtZFPWcPddfg2ED+MtcSB27tWVrueXQ+hO+floO5KZem/PjQnja0OPXfz08MuxXPO4wBRwfmFIPUCUnCmVEPAvEEIDBIAMZ9EVybDmBrc/Z52GwQcbAEWf/FdHtvHQbmgnkfFwSGA5oydJe6pasGT16cRELiEEWW1ZqCc46EBLQ4LOnJheXKYTFiR4sD58a9OfcvxoB1dTbUl2ByzXLd3luPa9OBvOcTxoADXZW7P5cLQajMyj/C2uyoQwghhBBCCCGkQrDkrZJU2njXgoq4fPFrt3QoPl5tFtFLfWEBAEPuIL76Wh+OD7sRiiUQlzgmfRH87PwEvnV8uOBep8vRXWfDpiY7DKKQLmHLkhdRDQYBu9tdFXEReCVmAxH8zUs3sgLUgNxj+tsnR/F632zW/SaDoFqW0ygw3cvaW41ietsJDFC7RiswIBhLyPvgkBvBjH3wiQsT+NbxIcQTWjr/lpY3HNO0rn1h9X6gN4sfnh7FU5emEFm0fQfnQvh/X7iGSEz/dfXwjlYYRIbMnuLpc5Aod2yOxCXEJY5hdwjT/ggMIoMoClnLA/LyVSYRrQUGaz++rwWCwHKeF0WRQRSAXW2urL/xhGL4x9f68fL1GXjDccQljvlQDC9encbXXu+HP5K9bhurLXjPrlYwZB+zqZ/ftbUJnYuyK69O+vC1NwayAtQAMB+K4Z9eH8D1aV9B73slBt0hxQoOnAOD7vwB2YQk4e9evoHjw/OIZVT0mAvG8L1To3hRoQd3pdrSXI0718kTENiibS8w4MP72mE3ryyILAgCtrdUy8cUso8PxhgMIsO7tjQV+hZ0ce+mRoh5zvEMwDsq5H2sb7Chq7Yq7/nkYHctXFZjqYdJCCGEEEIIIYQQQkhOFRGk/o8TYzCILGeATGBAOMEx4QnpP7AyE5c4vnNyBPFE7n6n/bMBvNaXu2fsahhyB9E3KwcQMgN+qZ/PT3gx7g3rNh49/d83BhUff+bKFBKJRPr3rc0OxYxBgQFbWxz5F1gle9qcSwJ8AltazYAlAyCMMRwbciOe4DlLDffPBvHqogB9OWp2WDQtV6oyyOVm3BPC2XFv3sfjEvD1o0M6jkj25KWJjKBN9jmIMZYVAOUAxIwy77nOWTGJ49SweglxJX/9ykC6mkCu1xAEAT8+M5L1Nz86OwZfJJ6zX707FMPPzo8veZ39nTX4zJ292NHqhM0kwmYSsbXZgV+/rRt3rFvax/k7p0aW3JfpsRPKj68GLV9QlKaS/OjsOLwKE0levj4DdzC67HGVM8YY3rm1Gb9ySyc2NthRZRRRbTZgf2cNPnvXuiXZ48sRj8dxcdKffp3M10z9/tjJ4cLegE6euzIFliM7VhAYRJHh2StTJRrZ8lyd9mMs+T0q1zY5OTy/5vZxQgghhBBCCCGEELJ2lHdNRgDRhIQpfwSMyRcO83WA/fH5cXzm9l5dx1ZuLk/6EIwm8j7OARwbdOOO3npdSi4fG3RDYFDsi/rWkBvv3r60tG0lmwtEEIrl3w4pP784iXfvaAUAbG6qRoPdhNlAdMn6kstiMNzRu7Q872r78bmxrPKhQPLid2pgOajug0Nu3LlOn31wpbiG2uaMoeDewWvFT3IESReb9EUQS0gwivqss2F3CH6FfXG5UgGgn1+cxJ6OlZVLBuSAvdprnB7z4T275Pum/RHF8s2cA1em/PCEYnAuyphsd1nxQQ2tME6PzOc9T6dIHDg/5sH2Vqfq8xVLb70NAwr9lQWGvKW+Oee4NJF/4kTKM5en1mS7kI2N1dhY5N7QPzgjH+f5qkwwxpDgwMh8EO2u8u2D7AnFcGXKD0CuXJDrs2hgLohpfwQNZV7t5ejAnGo7juPD83j7pkb9BkUIIYQQQgghhBBCiEZlH2GZ9mnLtJ0NUKbI6HxItRxzIJqAL6JP2d0hd1Ax8CFxYFgh+FKpzo6pB0YAZAWeRIHhV27pQmPygnhmaW2TQcBHD3SgSWN2bzHdyMiEFwSWlUHNmDxuMdkLM3WfWug5GE3AG46pLFVa496Iavl1AOhfg/vvSsxpPP9O+SLqCxXJlanVKU+tZ8sEABjzaPsMHCugKsU5jecsree2YtnT7kqXls5F4sChPP2jQ9EEEho21Vqt5rEahua1Vaw5NlhYtYHVpnWbaz32SmlkPqwYoOYARtxUaahQgsAq9kYIIYQQQgghhJRKZoXLSroRfZV9JrXWbEuBWpqnA4Xqy63yQJLy9XvMtBYvoBm07rOL1o/DYsRv3tmLvtkArk75kZA4WhwW7Gh1wlSijN1Uj8uF3+VAtZAMTKcyjlny54TEFXvIpmjdV0tFFBb6enLOM7LIU/+y9HIEkKcmqG95PdeXUPZTsLTRusrEAlat1u2i9/5uNxvw6L4OPHZ8GPGMc0uqQseD25rRUZM7Y1fUuELoENZO66oylvlK1Tq8Mn8bALSNUafiFYQQQgghhBBCCCGELFvZX7pqrNaWPdpVW76lJfWyrsGmWrK13mZCtVmfuQkbG+2K2agMwKZGuy5j0dP+Lm2lgPe0Ly2byxjDuno73rW1GQ9ub8G+zpqSBagB4I6epSXGRWEhs3Hx7CItF8zrbCY4LOU9P2Zvhyv9cyqLXBCWzqbaqWPp43LWXWtVXYZB3x7ee9tdq/K8VcZ8TSeKJ/Mw6qmzqR5XBoGhM0+wVos7enNnIy/2tnX6txzoqbPhs3etw13r69HqtKC52oz9nTX4T3f2Yn9n/nOt2SDCrOHcub5h7X0GrRatx9Q9G8q7tHRnTZXqZDKByfteudvYaFc9P9A+TgghhBBCCCGEEELKVXlHiiBnXG5utOPylF9xuXfvWFt9jVeip7YKTdVmTPsjkLi87hiT8xulZPT6jt463UoWHOyqxVtD7rz5laLAsK+A3q7lymIQUW8zYUahBLLAgNt763M+Nu4N48ZMAAnO0VxtxoZ6e8kyzu/e2IiXbsymf2dQ7kfKOYfVKCASl/JOmNBzH1yparNBNTe4lD2pOecY84bRNxuExDlaHRasq7eVLEP94R2t+KsXrikus6nRruv47Cb1bbgSHz9QWP9is4EhElce1f6OhckPdrMBu9qcOD3iyfleGID9nTWw5Aiec84x6gmjf07eT9qcFvTWLd1POmttMIsCIgm5YbaQnIiS+dlhMQhocapPRlgNDosRd29owN0bGpb1d7d21+Kl6zN5H2cA7lvmc1YKSeK4PhPAuC8MkTGsq7ehpcCWEfdtasSRvlnFZaqMAuxlPgnJYhSxr8OFY4O5v58wALvanLDrNKGvEIe6a/OW62eQ24XsbnPpOqa1SGCs7CvA5FKJYyaEEEIIIYQQsnbIVVpLPYrlqbTxrgXlfwUOwIf2tuMvnr2CaJ4Gk2/f2FARFxNXG2MMH9zThn96fWDJhVdRYHCYDdjWUq3beOpsJnx4bzu+e2oUUkapVgbAIDJ8ZG8HnFajbuPR02du78ZfvXAtbzDqkwe7ltwXjCbww7NjGJoPpXs7Sxywm0S8b2cr2l2lCRBVmURE4lK65DXnPG+QWRAEJDhgFOVA9WJbmquxu638s4/fGJiDIDAk8kTaGeSLv2fGvNiXkXWtB38kjsfPjmHUE05n0EkccJgNeP+u1oIDUSthMxtwZ08tjvTP5XzcahTwob2FBXeXa9AdSpZr17Y8S0ZlBYa8vYw3N9rQ4iysaodRFBGJx/OPA0A4kX3fu7Y2wxOKo282kC51nfp3Y6MdhzctzVz1hWP4wZkxjPsiWfuJ02LAB3a1oWlRVvtnbuvE/3ltcElJb1FgkCSO37y9c0Xvt5Tu3tCAGzMBDOfppfzI7laYdciM19uoJ4THz4zBH01ASE5Ue6VvFh0uK963swU208q/L31sfzu+eXwk52MMwO/evW7Fz62nt29uwnwohitT/iXHVE9dFd61tbnUQ9Sk1WnF+3a14kdnx8B59qQcs0HAxw50osq09vZxQgghhBBCCCGEELI2VERk98lLk4AgQOQJJDLiXozJFxVfHZzDbRWQnamHn1+cTP+8eH34ogn84Mw4PqJjsGhjYzV+5+71eKN/Fn2zQQDAhnobDnXXwraGJxYYRBF/eHgTXrg6jWNDbkTjEgQGrGuw4707WmFddNFY4hzfOTWCSX8EALIuNgeiCXz75Ag+dUsX6mwmnd8JEE3wdH9meWzKUb/Uo6LI0lmYqZLZfbNBDLlDZV+ePxKXwBiDKMjvhycnWcjnHHlFMMYQjCYUn6fYEhLHYydHMBuUs/QzY+i+SBzfOjGCXz/Upfvkj0gsgaMjHhhEBoAhIckn6tR+kwDDmTGPrhl90bgEQRAgJgPVqTEBgCgIADgkCWiwm1BlFNHqsqLeZsKTl6fA44kllQAEBgx7IkhIUvLvVziuhASjQQDnHBJfOJ5SlS8YYwiEY1l/YxIFfOxAB/pmAjgz6oE3EofTYsDudhd6aquWnOvjCQnfPDGC+eTzZL4XbziOb50Yxq8f6kK1ZWE/+e7ZCRjyNK8VRYbvnZ3Erx/qXvH7LoUJbxjTwSgMIkM8Y+YBY3KJ9NNjXmxpdqyp7w5zwSgeOzmSfr+Z235kPoTvnBrFJw90rrg6R99sCKKA5L67cL+QnBl7YzaEzU36TYZbKYPA8OG97eifC+L0yDw84TgcyaoFvSWsSrESO1qd6KypwolhN4bnQxAZw/oGO3a1OWFdg5MwCCGEEEIIIYQQQsjaUfZRQs45TidLGYqiCDHH9baEBLw15MbBLm19NdeqKX8EI54wwBjyXV7tnwvCHYyipkqfYGcwmsDTl6dwdXqhXPux4Xl4I3G8a2sTLIa1ewGVMYb7NjXivhxZjovdmAlgwhfJ+RgHEOccR4fceGBLU5FHqSwYWZrxqRbQST0uJoO8ix3pmy37IHWNVT41stSxJOZ+zy1OfScNXJ7y5S0jzwHEJAlvDbtxeKO+PWGfSE6OEZLBW0FYelw/f3Va1yC1KCAd9GUs15gYGOO4o7cWO1rlcX31tX4AgCHPeSkmcbze78adhfRmTqZ3C4KAfKHu2dDSbSwkA09a+stenPTBHYrlfIxDnoRxfGQe96yXS117wlHMBXMvnzLtjyIQicFmrpzqF6/1z4FD3i9NOVb2gDuEEU8YHSWqUrEajg25Ec+oXJKJA5j0RXBtJoBNjcvvU+yPxHFiZF7+LpZnmZdvzGBTo70iAv+MMfTW2dBbAb2n1TitRtyr83mfEEIIIYQQQgghhJBClaah6jL0zS7tRZ2rlv2xoXl9BlTGzox6NC13djx3/8JiiyUkfOvkMK5NZ29DDuDylB+PnRhBXFpaElov86EYjvTN4GcXx/HctSmMe8MlG8vFSV/eiQWAnLF2cUKf7Zbpxesz6WNNS8xBbRkOYGg+pHsG8nIFY9rG54vo+z607CfnJ3y6jSelbzagukwkwfOWT18NR/pmNU2oeH1ALlHOOc8b2M10rsDjUKlcfurxkErPajWq+wmAC+ML+8kLV/P3bc70wnXlfsTlJC5JuDrtz8r2XfzdQWDApUn9j5fVdGHCp1jinmHl7/nKtF+1x/tsMJau9EDIWsEEuRpMpd3YCismEEIIIYQQQgghxcCS/29aaTeir7LPpA5kBLMWX9cXhGRZZC5nEN7sQhoDa1qXK9S5cS+m/fmzPid8EVya9GNHi0OX8aRfm3Mc6Z/F6wNz6UAOY8Dx4XlsqLfh3dtaYMxT9na1ROKS6sX/aIKrBriKLRCVM6kFgSVfW75fLQii9l4i8URZ98nM10s8E2PQPdgejmnYT3L0Al9tcY3B57jEl/Q8Xi0hjeshta0ljc2rY4nVXb/FOL5DGvaTSMb7SB3nagJR9SB+uYglFrKJlb47REpwvKwmteNfzqRf2XkrEpM09Xlfa+uUEEIIIYQQQgghhBCyOso+k7rVIZfhzMzmXJwNxRhgL+OAl14a7eaiLleo48Pzqsuc0LBMsZ0a9SxkTyZvqRjb9ZkAnr48mfdvV0ttlRFqsTunxaB7CdWOGmvWa2aWT85HLThmEBjsZd6PvLnaLGch5XmfqfXQ6rDoOq46m0k1W92lcz9qAJoDz0YdP3HaNW6bRrtcsl0UBMXs4xSHpbB9lzGm2Nedc56vurxmqXL1ShwZx6DW47G6gkp9WwwCjILydwcwwFXg9iw3ase/wLDidh+1VUbVADUAOC2Vs58AwLVpH165MY3Lk/pXKyGEEEIIIYQQQggh5GZW9kHq2iqjYrnh1EVnKwWpsbNVW0Zyc7U+QWq3hpKf04HcfZhXi8Q5Xh/IX7KWAzg/6YMnrG/G4O42J5SSURmAfR0uvYaTdiijz7scrGbpnzODPnLPX/n+VMAydZ8gZCwHYEeLQ/dM9eU62FUDBvn9pILVC++TgTEGsyigR+depnvanKpBolLsJ/W2haBXru2eEtMxwfKdW7T1Z31wS0P65x4NvdLf1ltAP2oABkE5W5oxho6awnok2zUEk23mhc/MXo094rsKHJeeWOqEA+XvDtFVzozX2752l+LjEpc/b1Yi8zjPxygAtgr5PvZa3yz+1wtX8fi5cbw+6MaPL0zgf71wFS9cmyr10AghhBBCCCGEEEIIuSmUd6QIwLUZudepYuYmR0n7CZeLaEJSzbJkDBhwB3UZT0JDxlVcy0JFNOWPwK+hRPONGfUeu1oEowkcH3bj+WvTeK1/FnN5Avf1NjNu667N+RgD0OwwqwYfVkNmMDr3Yws3QF52fX0VBGHxsvK/giAHWsudKAi4e0N9+vfs9yl7cFuT7uNqcVhwIE8QmgHocFmxS+NklWJqSWYt59vujMkZnKZCU4SXYdSj7TNh1LcwIeWh7c0wKGSFd7gsWFdvL3hsaizGwoJ8k76Q6jKzGROEHFZtmbWOCsqQjcYTiEvq3x1uaOinXkn2tDvR6rDkrQpwa3fNiqup9LuDqt8x4hyYCZR/T+qXb0zjyMDsksofHMCx4Xk8fXmiFMMiZarUvaULuRFCCCGEEEIIISWzKH5QCTfVi1+k6Mq+zmUkntAUeNXYEnVNmwvGFHsGp44xvfpFauldqfcxH9MQFGcoTo/zE8NuvHRjBpwvrIvXB+awraka929uWlIi+a51dXBZjXh9YA7zITlwZhIZdre58LbeupJkHycknh57qo8roLx/pYI+6QAl5Av/qd9Pjs7jAUfzqo+9ULd21cIiCnjh+kzWMWM3iXhgaxPW6xCszOXwxgbU2kx4Y2AO3rDcS9hsELC33Yk7eupgWBwp1sGYJ5S34kVq/0mVSNdLNCFBEIDUocxS/+ELJekFIbvHtM1kwG/e1oPvnR7FpH8hiCswYHuzA7+0tfCJCVo+qgIRbT2i84lzqH4WZLZd76yxotpsgE/hdR0WAzpclZNJHU1wTd8dYmvsy4NRFPDovnYc6ZvFqRFPOlPcZTXi1u4a7G5d+SShSCyh6TtGMT4/VxPnHG8MuhWXOTXmxeENDRDFysgKJ4QQQgghhBBCCCGkEpV9kLrJrq2vKCULADdm/AAWLhRnXkTOvFivV3nTVHBSid5x17pk+Xil4DkH0GgrrCT6xQkvXrg+s/CcGa93YdIHUWC4f3N2wIsxht1tTuxqdcAdiiEhcbisxpKWxr6esU8t/jff/iVxedunymWncM4hAbgw4cPhjY0wlXnJbwDY0+7CnnYXJn1huEMxNNjMqNNQ8nY1Mcawr92FvW1OzAVjkDhHTZWxJMFpQA7yTquU9k9NJApFY7Ca9MnGTe17giCXDFm8L6b60S8WlyRYTUJWX2iRAVUmARJHwf2iGZNLfgMLAfSU1CaMJdSrPShprjZj0hfOOXkrVQU7M5tWYAzv2NSAx8+O533Od2xq1HWSQaEsBm3Hg1LmfKUyiQLu29CAu3rr4A7FIAoMNVZjwdsvFdBX+45hLvNz+5uDc5qWe/HGLA5v1NY2gBBCCCGEEEIIIYQQsnxlH6TmmvLOgKoCy6OuBe5FfZTzXY826lRyVxQALuUPCDOm/3arMhmwucGOy9P+3JlgAKotBnRr7NGaC+ccr/bn73sNAOfGvbitpw7V5qWHIGMMtVWlDYSmpDK6gaWTDnLtX2I6azb3PiYASHCOQCQOU5m8Ry2aqi1oqtY2YUYvjLGSB8wBIKChfD4g7y9T/ii6avUJUqeO73zhMoExSJxn7av+SByPnRxBKJ7IKpPKAZwY8SAQTeChbS0Fjys1gSNfkmahyb27W104NeoBkPs45Vjau3hTYzXevxN49up0OkMfAJwWA96+qREbG0pTOWClwnFJ00SpavPa/e5gEAU0rLC0dy7mRYH/fN8xwjpVa1mpUY96OXwAWdUUyM1NZGxJ9ZtKIFbQxCJCCCGEEEIIIWvP4vaZlaDSxrsWlH2Q2mrUNkRbjmDfzUZrwNdu0mdd2U0iPJFEzszl1LFeiiDbfRsaMeoNwxeOLwm6iozh4W0tBZ2MZgJReMLK5Xo5gGvTfuwtQZ/p5cjsjZvKjlYKP6SyqHNhjIFzDgGA2bB2A0M3m1TgSssh47Tq19PYbGDpAPXi4zm1LzIAxozAw7EhN0KxRN7A5uUpPw50hNHsWPmEBUFlRXHOCy5B3VRtxp09dTjSP5szULutqRqbcgSdNzVWY2ODHcPzIfijCVSbDWh3Wiryy5mWeBIDEIqVd0C1nFg1fsewlPn53W7Wdh6qMpZ3RjghhBBCCCGEEEIIIZWu7K/AOa1GTRcK93e4Vn8wZW5Pm0vTcluaqld3IEk7Wl3pn1PlQRf3nt/a7NBlLJnsZgM+sb8T+ztq0iWnBQZsbazGJw50os1ZWN9VLeXUGbJ74ZarDfX2dNA5NfMp19HIkCyprPJ8qWBXoeWMSfmwGkVYNZZWdln1m5RiMYiKs/VSj6UCuJxznBv3KmbeCgw4P+EtaFxajpFiVJi4vacO793ekhVQr60y4v5NjXhwa7PieumsqcLWpmp0uKwVGaAG5AkzQvJ8lesdpO6XlHo/kCwbG+yqk1HqbSbUVuk3GWUl7llXr2m5+zY0rPJICCGEEEIIIYQQQgi5uVVE+vE96xvw80uTeR+3mURsa9I/2FluWh0WNFebMeHLX6JyS6Md1RqziAq1t82JU6PzCEaXZiYyBtRYjdjSqE/AfLEqkwH3bWjAPevrEY1LMIpC0Uo5uqxG1TKzHKXJIl+uKpOI/e0unBiZT9/HGIMIOaiXeV8KVwn6MMbgDsXg1DFgSVbXe3e04LFTo4rLHNB5IpHWDNnUchJfmGAiT6Zh6X059bPEtZc3z8dlNcIdiiku0+4qbKJMyqbGamxqrEYsIUHigEmsvBI7K5U6nTPG5PNxnvNVufdPLic2kwEHO2pwdMidd5m71tWX/T5mNopodVgw5g3nXaa+ygSHhT6jCCGEEEIIIYQQQghZTRVxdXZHixN3ravL+ZjTYsCvHewq+4uiemCM4dG9HWjNU4p2Y4MND20trJ/qclSZDPjo3o50f+VUuWhADqg/uqcDxhIHCATGYDGKRe01aDMZsKHeljfjjEGeWNFbayvaa66mezc0wGleup1SmaiZx55BYKqZogDKpuc2KY7OGhvesT5/1uGGhirct6FRxxEBdo29hlPLCSwVxF14bPH+LTDAVmAJ4H0agvW7W9WXWQ6jKMBsEG6qz0mzQcw6F+U6XwHFmxBws7hrXT0Odtakj5PUR6dJFPDQ1mZsqK+M3uW/vL8TDXkmitVYjfjkgQ6dR0TKmcBYxd4IIYQQQgghhJBSWVxdt1JuRF8VkUkNALd21WF/mwuvDcxhwheGURSwv6MGXTVVpR5aWTGJAn55fyem/WG8OehGIBqHy2rCbV21cOjYDzaltsqEX7ulC8PzIYx6wmAM6K6pKqinayW4Z0MDRr1hBGOJrH7cDPKJ7oEtTRCKGBhfTYwxvH93B/712JDqsq0OM4bm82enAXKvcoelvMvBkuXb21mDXe0u/PziOK7NBORqAVVGfHh3O6wm/T9qGu1m1FYZ4Q7G8lY1sBgE9CQnizDG4LKaMB2I5Azmpu6rt5sLGtfOFieuTvkxPB/KOa7bumsrospCuRMFhq1N1bgw6VNcbrfGNhlEJjCGe9c34JbOGlyZ8iMUS8BlNWJjg73kk86W61dv6ca0P4KnLk/CH43DZhJx/8ZGNDlo4gIhhBBCCCGEEEIIIXqomCD1fCCKb54eRmYF1yHPOG7tcOFQd+4s69UicY4r036cGfNgLhiDUWTY1GDH7lZnWQTf5kNRPHV1GjOBKABg3B/FqDeM+zc2liRr7BsnhjAbiqd/f2PIjZZqMz68u133sejFYTHiXZsa8eNLk0vKzG5rsKE7Txb1s1cncX7Sn3VfjdWAj+5qhdFYun3LE4xCEAApefyJYu4Ae1QCGu0mTPmjeZ/rHZuaVmOIN5U3h+bw1rAb8eT2EBiwrbEahzfqm62cKRxL4F/fGkA4AQjJYNV8JIF/PT6EXzvQCZNR348bxhju29CA758Zy7vMvRsa0lUUOOeYD8fSwejFcerUYTzpz99OQQtRYHh4WxP+6egQEotK4ztMBtzek/vzLBJP4Oy4FxcmfQhEE7CbRGxvdmBHswOmPD3Bx7xhnBqdx9B8CADQ4bJiT6sTbc7cnwODcwH89NIk4tLCuAwCw3u2NaPDtToTwgLROM6Me3Fp0odwXILTYsDOFge2NjlgKHAiz+29dbg27UM0T+X33a3OdFUHSZLwxpAbZ8a9iCQPrFqrEXf01GFdXWVUvUiRJAlvDrtxZsyLcPK9uCwG3NFTV5RM52szPjxzZRrRjP3kjaE5fHBnW1l8B9JqYNaPn1yaROpthENxfOfsGN61qREbG4rTiiQcj+P5azO4MRdEQuJgkCvJ3Le+Ie9klLlgFKfGPLg+E0CCczTaTNjd6sS6OttNVQ2BEEIIIYQQQgghhKx9jKs1kC0D074wvnk6f7/TbpcV793RqstYJM7xxKUJ3JgNZvUdZpAv5r9/RytaSpglPO4N4TsKQZnDG+qxo9mp23j+7sgN5OsMaxAYPnt7r25j0dPArB8/uij3UeecL7mw3FNjwXu2t2Xd92/HB+HOCOYv9tuHOksSqD456sbLfXOQJJ7u1auESxIAhoS09NTS7LDg0T3tRS2vfrP53pkRjHpzB0odZgN+9WCXziMCAuEY/vkt5Uz73zrUCbPO+++3Tw5hzBeFlGNfFASGhioDfvlANwD53P63r9zI6ked2tdTH5OcA+vrbHh4+8rbJkQiEXzl2Ej6eTNfgzEGkQH/+Y51WX/jj8bxvTOj8IbjS7Kva61GPLKzDVWm7PLmp8c8ePHGzJLPKQ7grt467F2UQXxu3IPnrs/kHfc71tdjW0txPzvmglF87+wYwrHEkvfVUm3G+3e0FpSdOxUI4JsnxpFILN3+LFne/T/fuR6SJOEbp0YwF8zdK/yWThdu69J3MtxKSZKEx06PYjqQe6LQ/jYn7uytX/HzHx2cw+sKPak/vqcN9fbyr5RyetSNF/vm8j5+W5cLt3QWts39kTj+9fhQ1qSPTO/b3rKkGtDAXBA/uTgOjoWJManjdntzNQ6vb6BAtY68Xi+cTie+/MJ5WO3Fmbigp5Dfh9+5dzs8Hg8cDkeph0MIIYQQQggh5CaR+v/p9X96L0RLxeTJAgAS4Tiuf+EF+n9pHVVEbUalADUADMyH4AsXlt2m1YmRedyYDQJA1kV1DiAucfz04kTO4JweOOf4/rlxxWWeuzaDWCJf2Li4vnlyKG+AGpDX1xMXlcdbqVIBaiB3ULffHUYksrDPXpzwKAaoAeDfTykfB6uBc46XkxfytQSoAYAJApjAIIoMgiDfRJHBYBAwE4zi+Mj8Ko967bow4c0boAYAbySO565N6Tgi2ddVAtQA8LVjwzqMJNtEIJbe/xbvj4LAMBtOpJeV+3ciI5N6YV/PzK5mrLDz+z+/NbLkeTN/TnDg+auTWX/zzJWpnAFqAHCHYnj++nTWfVP+CF68IQecF39OAcDLfbOY8GWX5VcKUAPAMyqPLxdPTvjKFaAGgAlfBK8O5A8iavGtkxNgTD73LN7+oiggAYYLk/N4qW82b4AaAI4OzcMdzF8dopy8OjCXN0ANAMdHPZheYTWAeDyuGKAGgMdUvq+VC6UANQC8Pjhf8Gv88PxY3gA1APzk4gQkaeFbUjiWwM8uTUDiyGoTkvrx/IQPl6ayK60QfaTOHZV4I4QQQgghhBBCSoUxVpE3oq+yD1JPeZX726Z898zqBzs55zg15sn/OIBgLIHrM6W5iNg3G9AUIH9tYFaH0QDTgfwX/VOuJQP+a0nfjHIP1JRvnZ1I//z8DfVt4oskVJcptpf7FwJTyz1BM7ZwkTTzb0+PeSCVfwGHsnSkX30/uajSg7fYgrEYlKdXyGISR1zSZ4IMAHztzb70z6kvGLn2x6+8fiP9s5y9mHvfTP3NqKewCVFxDbv+2YyS//OhGAbz9K8G5DFfnw3AF1nYCmfGPEvKlWdiTD4OU17X+JnwZhE/O0a9Ycwq9AvnAM5PeBFd4aSqQCCQ9Xu+7f/M1VnVvtUA8LKGY68cnJvwqi7zct/K3suTV6dVl0lwYNqv7XtbqWjd35+5Mqm+UB6+cAyzChMfACAhcVzIONYvTvkUg9oAcHJ0fsVjIoQQQgghhBBCCCGk3JR9kPrYiHLWToo/uvoBvEA0gYDK6wgMGPPpk9W92PXZgPpCAAbdoVUeyc3t1UFt+6w3vBBUUrswnRKLqQf+i+nyKmRtBWOJrIAa0S4UVw/Y5ahsvKquTms77wDAmEe/4JU/pm1FpOZ+hGPyPqk2GSOsUyWKlHGftnU2mbHcqDcMpXkgnAOjGdtC68SG81PFmwAx4QtDbdpLXOKYVcgKVvL6iPZzl5bz71SBvcj1EtVwApgJrOy9jGo8fk+M5p/MVw60BPIB4JrG71S59M1pm4DXN7fwGuMKVTJSpgPRklXrIYQQQgghhBBCCCGk2Mo+SC2U0Qi1JpKWqrqe1nVF5f9Wl6GM9tlCMdUw0soIVDZjzRCZ9h3eIJbvdhegsZz96g8li9a1m106XMPz5ig1vpy/KZTWc8tKX9NiKO6WKt89d/lWuhm1/p2hzL9jaB1eIW9D634rZiwnMG37GX18EkIIIYQQQgghhJC1ouzDaXf31GtarsFmWuWRAFVGETVWo+IyEge6XFWrPpZctjZUa1puU4N9lUdyc3vHhiZNy7VWL+yzZo0BFaNRef8rtls6XEV/TpfFALtJLPrz3gwcZvX1ZtQ5QLS50aZ52eZqyyqOJFunQ9tnQr3VAAAwGQ2qyzLG4LCoL1dMbS6rauBKYECbY2Hd9tRUKf4NA9BTu/A5dWunS9NYbuuq0bScFl011rylvlMsBgH1K/xsv13jd4fU66jpcFlXNA69VRnV30ubc2XvZUujtu8YhzpqV/T8ermtW9v49re5VvwaGxu0nRe3Ni2s006VY4IBaHdaaJJXCZS6rzT1pCaEEEIIIYQQUomYwCryRvRV9kHqKrMRWpLvPrizZdXHwhjDAYWgHQNQYzWiq6Y0F7NbnVbVi+0MwP42py7jWVerHqw/2K7PWPRUbzdrWu6DuzvSPz+8pVl1+WaNz1tMuwu4SJ/P/vaaZfe3JrLDGxpVlzm4ChMLlBhFEXYNcyfsJlHX4Mr7d3WoLwTg4/u70j93utSD6A9v1TYJJZ8qDQHRu3vr0j/bTQZsbrTnDTozANubHbAYFyYw7Gxxqvak3tXqSP++tVnbeXhzo0N9IY3qbWZ0OC2KwfS9bS6IK/xiKGgsLfLRvc3Y3+5SXe5tPXWqy5SDgx3qEwnuWkYAP9PbetX/zmwQYNd5IsdybWvStr8f6Fx5sN1sENHuVD6fWAwCeusWgtmb6u2oMop5jwkOaNpXCSGEEEIIIYQQQgipFGUfpAaA37ilU/HxA+0uGA36XBTd2lidvki4+EKi3WzAe7a1lCwAxxjDR3e3KQb1P7CjRfPF+0K9e1uLYtDcaTEsK9utkvzawXbFx2/rzA4ktLmqsK4u/+QGk8jwkT3Kz7laPrRoAoja7m0QAJsxO+M39Td725zY3qwtG48s1VVThZ0K66/TacXBAgIrK/WpA93pnwWBwWAQYDQIMIgCBCYXdv61g115/3613NahHIzas2hdvn9Hm2Im6q6WatTZCssG/41bexQDsw6ziD2LJocc6KjJG6w1iQIOLQpMuqxGPLS1GSLLLqrNIGddP7ilGTXW7AzlR3cpT/T6+O7iTwR7YHMzaqtM6bFl/ru5wa44KUyL/3xbt+LjLouIRpsNBzpqsK4u/6Sqd25qRJWpvAOvKXvaXNhUnz+L9+0bGlBdQBD54S35J2kwAJ86oG1ySKmp7e/v31bYZBQAeO/2FlTnqX4hCgwf2tWWdZ9BFPC+7Uu/N6WOibf11KGnVnvlCkIIIYQQQgghhBBCyh3jnKtV3CwLkiThsVMjmA7G0vcZBYZHdjSjyaF/ee0JXxjnxr2YCURhMgjY2GDH5gY7jGLp4/5xScJz16ZxZdoPicsXONucFjywqRE2s77logHg5b5pnBz1pn9nkMvGliKYpqdIJIJvnB6HL5pI32dkwId2tqPBkTsr+saMH09emUJMkg9LBmBnSzXuXa+eQbuaQpEo/uXkaPp3zjkSyTFmnkFqrEZ8aFcbDALDlWk/rkz7EY1LqLOZsKPZgRaHfuWe17Kh+SCeuzYNbzgODrkVwV29ddissRzvajg2PIdjI57074wxcM7BGIPIgE/t64DJoH+Z96n5eXzr3OyS+9+3ow5dLlfOv3m1fwYnRz1IJPdtm1HEA5sb0V6kVg5Hh914c3AO0qJPX5HJk3u6a7Jf5/Hz45jwhSFxICFJckolA0RBgMCAzY123LeuYcnr+CNxnJ3wYng+BM45Ol1V2NHiQLU5d5AyGIvhe2fG4A7F0/fVWg14ZFcrqlap1UBC4rg248elKT9CsQRqrEZsb3ag3Wkp2oSvr77Rh3A8e2Xf0eXCgc7s7OgbswG8PjgHTygGgQHtLivu6qmD07r67USKrX8ugNcG5jAfioExoN0pvxdXVeHvxReO40cXxjCb/D7GIJeY/6XNDTDoNGGwGCLRKL5xaizrM9pmFPDo3jbYTcXZ5pIk4eSYB6fHPAjFJBgFhk2N1bi9qxamPJP4wvEELk36cH02gLjE0Ww3Y0eLc8Wl78nKeb1eOJ1OfOXVS7DaK2+CXcjvw2/dsQUejwcOR/EqYRBCCCGEEEIIIUpS/z+96c8OQ7ToH48qRCIcw5U/fo7+X1pHFROkvjrjx0t9s4hJHAJDOvi6rakad3bXUo++DJen/Xilf+m62tEsXxildUWW69KkBy/0uzUt++iuNtXe7WRtCUXj+PrJEcVlaq1GfGRR5uDNaMAdxM+vTOV9XGDAr+zpQFWyb/t0IILvnRtXfE6BAZ/c25FV8psQQkhhKEhNCCGEEEIIIYQsHwWpyXJURMrLgDuIZ6/PZN3HICeTnZ/0gaFy+kWutr65AJ6/Ia+rzPKpHMDZCXld3dGt77rinGPEE8aEPwKBAW0OK5rsJupLXCEkzvGixgA1AIx5gqixrp1e48FoAjfmAgjFJdhNItbV2mDW0Fd4tU0HIhjyhCFJHI02Ezpc1pJNQFl8fs5lLhRDPCHBUIJqE55QDMdG5xGIJlBlFHGgzYkahYzSWELCidF5TPqjEAWGLQ12rKsrTpndY8Pzio9LHDg/5cXBdrmE96Q/ovqcEgemg1F0OPO3DNDKHYri+KgHgWgCNpO8rlwVmElMVtekL4yT415E4hKcFgNuaXdVTEl0QgghhBBCCCGEEEJIeaiIK4pHh+UAmcAyS8gCQvLn85M+7G1zwn6TXyDlnOPNoXkwZPcNZmwhYH12woe9ra50lt5qmwtG8dS1aXgj8fQY3hr1oMFmwjs3NMB2k2+zSjDgDmI55RYGPWFsa678IDXnHMdG5nF63AsOpKsSvDY4h0MdNdjRXJqZVKFYAs9cn8a4L5I+1iUO2Ewi7l/fgEZ77lLyq2nMF9a03Kg3jK4a/dozSJKEJ69NY9iTPb4+dxCt1WY8uKkRgpAdND8/6cWrg9mTMka8YbwyMIv3b2uBo8DZf9PBqOoyV6YD6SA1U+xgvaDQ0L8kSfj51SmMerOD4jfmgmh3WPDAxoYl64rcfOKShMfPj8MdXigJP+GP4MpMAJvrbbi7t76EoyOEEEIIIYQQQgghhFSSsr/i7AnHMBOU+0OmMMaysnAZA65N+0swuvLiDsfgDscgJFdWaj1lri/G5ACNHgLROH5yaRK+iHwxmydvADATiOKnlycRlyRdxkJW7sSoR32hDDMB9SBcJTg+6sGpZIAaQLp/cIIDrw25cbkE5xyJczxxZRITPjmQyDPGFYwm8LPLk/CGY7qPK6FxFoPeed7P980sCVCnjPkieOradNZ9A+7gkgB1SiTB8b1zY3JP6FXmjy4EANud6n3cDQJDQ4GTE56+PrMkQJ0y4g1rypYna98PL2QHqDNdngngzWHtVTcIqRQCYxV7I4QQQgghhBBCSmVxfKpSbkRfZR+kjsSldIA61w6S2nEGPSGdR1Z+wrEEBIZkpnnudQUAc0H18rHFcGHKh2hCypmFywF4wnFcn9UnYE5WhnOOWQ2Zn5lSQVN/JI5zE16cHPOgby6IhLScfOzSisQlnB5XDs6/NTIPiev7ngbcIcwGY3mPqbjEcXbSp+uYlqNNQ8C1WKJxCTfmlD8XhjxhhGMLAbfXBmcVl49z4MzE6q/fzLO302JET02VYoB/R1M1TAWUUQ/HExicV15X/fMhROM0qehmNh2IYC6UO0CdcnbCC4kmnxFCCCGEEEIIIYQQQjQo+yB1tVkuB600g4Fzjvk8mT03k2AssTDjA3LmBwOybgAwHdAn0/LqTEC1TPT12YAuYyErMx+Op7Nktc4hqjIKeKl/Fo+dHcObw/M4MerBczdm8M0zoxhSCYSViyFPSDU7OBBLYMqvb9b4jbmA4nbgAK7N6H9MleP8sotT2oLJqaCzxDl8UfXgmtbnzUfLujII2Uvdt64ODTZT1t+n/u2pqcItHTUFjenchDdrfLk+NwDg3KQX5OZ1elx9+0scGMlTvYAQQgghhBBCCCGEEEIylX1DYItBUE2xpxR8WSIZX8lcG5nrhnMOgTEYRH3WVzShHvCJaFiGlE40IaV7MTMGLE4cTs1yydyKVSYDriYDpZmLR+ISnr42jYc2N6K5Wr+M2pXQmjGqZR8vpkg8d2WCTLESZDGKAoMkceR75dQZJ5qQYNWpr3EwntC0XDi5reMat2VY4/PmIwgMEudLjqX042xhclaK2SDifdta0O8O4sq0H8FYAg6zAVsaq9HhtBT8GRhKroN8pWEZ5CB+iDKpb2phjds/ECvsGNET5xxTgSgC0QSqjCKa7Cb6TkkIIYQQQgghhBBCiE7KPkjNNZbTNekUeC1nFoOwkGWnUO7bZhR1GY/TYsR0ILpkTJnb1GUp+13wpmYzimCMQVgUGjUI2f0ZhOQ2jUscYz7lcvInRj34pc3lHaR2LNovWeo/PDvwvni51ea0GDHqDSsGqhcHOPVgFhkikCctSBzpMugMclAWyRYE5gJKUi9Xo80MQD3rub5KzlBenL2cDyswb9wkMkTiPD3pI7UtGVsI5lebjUv+ThQY1tfZsL7OVtDr51JjMaq+Kwag1rJ0XOTmUWuVzz9qGgvsj66XofkQXh9ywxtZqMRjN4m4rbMG3TVVJRwZKTeCwOTPsgpTiWMmhBBCCCGEELJ2VGKP50ob71pQ9uW+Nfcsrpx2t6tm0h9RPfA556jSKUi9ud6eM2ie+fPmBrsuYyEr44nE5ZK/yf1KFFjOYF5qmxoF5RAeBzDqiyBc5pl2bQ4LbCYRjMnBQVEUIApC8l/5PbbYzXDpHLTb0mhXPdVta6zWZSyZ2pO9plP7iFEUYBQFGEQBAmMQBLkiRiCmXybu+job1K7PMwBbGuSgr9YvIIX0fgbkwHTqeBIEeX2JApPbM6TP3/p+oEXiCU0VS0IxaqtxMzvQ5lJdxiwy1CUnfpSzofkQnro2nRWgBgB/NIFnrs+gb07jd09CCCGEEEIIIYQQQsiKlX2Q2hvVdlGcZjgAQY0BoJhas90iyhc0T90f1jFolctcKIrB+RAm/ZF09mexuUMxDM6HMLGKr7FaIsnyrpl9cJW2KRjTFF7Tu0z2cgmMYUOdDWKe0tSprFa91VeZsKvZkfMxBqDRZsLWRv0nflQZDZrOwXpud875ksztxSM0iYKcwoylpezzcRSYqZ6Qsl9ocd/nhXuX4pxjOhDB4HwIM4GopkojkbiEYU8Iw54QQnkmh4Q1fiZoXa4ceSNxDM2HMOYNL9kGRCO29Evj4j3VXoJKDsvFOcdrQ3OKy7w+5C7q53Xmdw2tFYIIIYQQQgghhBBCCFnryv5qYlu1BSeZV/ViYSlK3JabWqt6VidjDC4NyxXDlRm/hmUCWFeCYN9UIILXhtyYDcbS99mMIg60O7G+tjjjmU6+xkzGa1QZRRxoc2JDCd7zSjgsGcHHIl1YFxhg1Smbf6XiEsfVWbmv9uLga+r3C9N+bG206z5B5lCHCw6LAafGPPBH5aCjUWDY2liN/W1OGHTq+ZwpENWWGa9nW4ZJfxSRBE+XHM/cTpxzSBJHTOIY90XQ5rBAEBiqjILqZJ9Ge2FZog6LEZ5wLF2GdXEbBC7xnGXkhzwhvDk8n5X56bIYcKijBu2OpeXz45KEoyPzuDITQComywCsr63CrZ01WRnh9RozX+tt5Z8hu5g3Esdrg3MYzWhDYBIZdjU7sLOpmia4LUP/XBBItn9YPFmJc46ExOEOxeGPxMs6WD0ViMIXkc9Z8tyq7PfBORCMJTDmjaSrRKz4tfzJ7xqh7O8aB9udWFek7xpk9aWqXlQaKvdNCCGEEEIIIaSUmCDfKkmljXctKN+riEktDgsYkL44tDgDJXVx8e6eOr2HVnY2Ndjx5si84jIM+pXY9mkIXPki+pePnQ5E8MSVqSUx10AsgZf655CQODbVF7aOZoJRPHFlCosT9oKxBF4emENc4thSAaXOM4NXxQjmMAAb6mww6tibeCVGvCFEVbJGvZE4ZoMx3QN3jDFsa6zG1gY7POE4EpzDaTGUJDi9MCitExj0u2AeTGYN57tIL4oCJIkjkFGtY1O9HWcmvEuO2xSBAVsaCiun3lBlhC/5movbIHDOwQSGHkf2RKLB+RCevTGz5Lnmw3E8fW0a929oyApUS5zjmeszGPdFsiobcADX54Jwh2N4cFNTunT/xroqHBmYU6yCwABsqK2sPr3+aBw/vTyZrgiREk1wvDXqQTgu4ZZ2V2kGV4ECsYSc+S8IObOBRYGlA7zlHKROTarJ95GW6hcfLLC8/VQggieu5v6u8WLyu8bGAr9rEEIIIYQQQgghhBBSyco7UpSUmXEmCELWLZXNMx+OqTzL2mc2CDjQ5lRcZn+bE2aDPps9mhEYYEzejnJG48IygRL0Jn5zeB6c5+/6+ubwPOJSYWWJj47MQ1J4jaMj84iVeclrAJBWsB7yhSEZAKtRwH6VfbQcBDVmBgdK2KM3VRWhrspU2gA1gCFPRH0hABadzj0AYBYXglC5suE552BM7qGbwgEIgtx3XEj2iRZSvdhF+TMnXmBFgX5PWLUNwivD3vR9Eud4fcid9/k45NLEmUHDwfkQxhYFqDOXnwnGcD1ZKWDhtZXHXYkJx6fHvYjEpbzn4XOTviU9iUl+BsbSJ/h8FSZYBVTKMAvK5wb5X8BcYBbqUZXvGm8U4bsGIYQQQgghhBBCCCGVrOyD1NP+MDjUszjVMohvFntanbijqwbGRRdXjQLDHV012NOqY4AwOQRRZBBFIVlWU85gFJOBoYTOvRm9kTgmA1HFjMGYxDE4H1rxa/ij8SUZjIvFJY6BAl5DL6fGfelJIlrLRjbaTDi8rh6ujJLFDEBvbRXes7UZNlP5ZtilhOLaAgdx6m2LYCwBKRnwVcpMZAzwhLUFs4syrriUNxgsj0l+LLMM77W5YPoxgbGMiTXJwBWAqzOBXE9XVIGMkuMTvojqZB5vJI7pQDT9+9WZgGrO+uWMdgyXpv0AY4rbD4zhkg7vvVgkznFtNqiaHX5ttnLeU6m5IzHF/Sp1TBWagbzaRnwRTeeGIW94xa+h/bvGyl+DEEIIIYQQQgghhJBKV/bRolmNGdJhlT6iN5MmuxmN1WZMBiLgXA5Qb6q3Y3O9/v0PxYwsxcUXhEWRQdI5yKclQ5ZBe4/dXLT8baGvoZe5kBz4Wk4WZY3VgN7aKvTUWOEJxxGTJFSbDbAYyju7LpPWjF8D9XtEMJbIyExmWJw3mHncj/miqLdZdRnXfFhboCzVm1bifElZ6MU49K/+oPX1MpfzRePprZBZvYJzpM+5meef1LqSq5WkgnTy8qkevQDg0bhOy0EkLmmaBFUJ5+FyEYol0h8Gqf0kRe7zLv88F4qjqYyrWGs9N3gKyLLPbCOQD9O4HCm9VFWNSlOJYyaEEEIIIYQQsnYw5E8SKFdMx3aVRFb2QWqXyai+EACTgXYeALjhDuJIsjSskCwBLAG4NBvAoDeE921u0q008ELZzNxlbReCWvqxGNXfOwdgKaBcqZZSpxxy6etyV53sK8rSgQn1iQUNdnP6b1xWbcdvubFp3P5VZV7WVg/WRQF9pWO6uUq//aHapHEbJpcTGINRYIgp7N8MS9/vatM6YSJzuSqjCG8kDiYsPgdzGAwCEgkp6zyV6h+8dFLRwjk6keCwmytnfzeJAgSGvP3FUyrhPFwuUvvM4v2Ec55sv8KRSHA4yrgfNQBUa9yP7QVU/dD+PaByjilCCCGEEEIIIYQQQoqt7K/ONjssmga5X88y1mUqLknpAHUuwZiElwbzP15sAlMOWLFkr1c9uSxG1KkETkXG0O1aebanw2xAg82kuIzAgG5X1YpfQy/7Wh1L7kuVQM53/8a6Mk6h06jdaYVJVN43HWYR9VXK2/lmkCrfrmXCSa3dstrDSdtQp61yxK7mhX18Y71Nca4cX8bzFiKzXUObw6IaqLYZRTQlJ4cAQIfTkiNAvfCzKApozlh+W6M9fUxnlkHO/FkQGLY2VM6xLQoMdSrHJwfQUwHn4XKxq9GeDlAv3k9SRJGhzaHfcb4SB9q0fV+8rdO14tdwWYyo1fBdo6uA7xqEEEIIIYQQQgghhFS6sg9SA8DulqWBskxmkaGnhi40n5rwqS4z4g0jIelUGr1MSzkcbHcpBqL2tjpgEgs7NA62OZVfo8UJs84ZmSthFEW02g1gTC7vmpmEnwpKZwatBYFhKqBf3+HVYhAYDrS5FJe5pb2m4sqVrAaJc839yqMae30XQyShPi5BYFklvnc0VcMkCnmP3U6nBY0qE1DUaMmbrLMuHGgCYzjY7lJc/pZ2V1ZZ13CCK/bcBYBgfKHMdSQuZfXeXowl+3OHddx+heKcI5pQHi9jwHwBJZ1vNtfmQ6q9nAHAF4nmfLxcGEUR7Q6z4jLNNhNMYmFZzreofNfYV4TvGoQQQgghhBBCCCGEVLKKuDq2t9WJ7Y25M7iqjAI+vL2FgkUAxv1hTcvNlVFfUX07UsvaHBa8Y339kpLORoHhlnYXdjZVF/waLdUW3L+hYclrGASGg21O7Gou/DX08sCmFoiiAEFI3XIfa6lg9YAnpPMIV8eWBjtu76xZklFtNQi4r7eOMuCSQhp7JgsC07WH90wwmjfrPzUeQWCYCi4E1OwmAx7a3Ii6RWXJGYBN9Tbc21tf8GcN0zA5xbfoFL2xzoa3ddXCvCigZTEIuKenFr212ZO0pgPqQcLM9z0djKkuDwAzGpcrB9EERyAuZZWmzsSYnG29FibV6GXYEwZX6fPNGMO1ufL/DHjnhka0VucOVDfZTHhwc1PBr5H6rrG4LYRRYDjU7sKOInzXIPpYPCmvkm6EEEIIIYQQQkippJIdKu1G9FXejQMzHOqowcE2J46NeDAVjMIkysG+2irlbJibidam7nodZowBKtezS5Zs3eG04kM7LBjzReCPxGE2COhwWorar7vdYcGHd7RgzBeBL/ka7Q4LjBWWORVblI0oZ1xmb1uWUdo9kSjF1IPVsaXBjg11Nox6wwjFErCZRLQ5LFlZqze9jHLQAHL2LE89Jhbx+FIdVsZrK+2vi7eky2LEe7Y0YyYYxWwwCoHJ5YuL2X/ckAxUxxdlJqfuz3Uu31hvw7raKoxo2Be17J5aPy8qVWodMMaQSohN7QOp7c+grUw9kSU417S+JLUP/jLxwMZGRBMJvDrohi+SgN0k4raOGlg19rPXosNpxYdX+bsGIYQQQgghhBBCCCGVqmKC1AAgCAL2t1bDHYnDIhpQbamo4a+6DocFsyHlTDcGoFan9WZgQEzlWnWVsXQXagXG0FptRtxmgkFgqxJ4ZGxl/TnjEofEOYwKJXj1Mpdjn5JnFeVe3m5euMCfkDgSZfI+VsoglG/f0LjEwTmHoYTrt8ogoMooIBiTA675MrecZlHXHvQNNhMEBkhceX/N7OWcyWUSwLkBZtFQ1AC1RWQIJydyGPJkVecrKS5q3Bdbq82YCkTzVqpgyWVSmmwmMChXtmDJ5SqFSRRQYzHAHY5n9E7OXoYDaMmz/clSTosRgZh65nljBU0eNIki7u2tX9XXWOl3jbXw+UkIIYQQQgghhBBCiJKKifKGYnH8/PpM+uJ+SrPNhMM9dSUaVXnZ0WjHmUkfOJLZg5CDM5xzcC5nN/W4rBB0yuDZ2ezAyXEvGORAUSaByQGCW9trdBnLYuG4hAvTflx3BxGTOBiALqcF2xvscFmMqn+/WsZ8YZyfDqRL8dqMIjbX2bCprqpk2bvBHOWchWTQb/H+BQA1FhNmglGcn/Zj1BcBB2AWBWysrcLWelvFZZKXoxFvGBem/ZhOTiCoNsn7yYZa/fcTxhh2NjlwbMwDcA4xuX1T+4bEORIJjn2tTl3HZTGIWF9ThatzwbzL9LisS0ryh+NxPHFt6WdNU5URby9CMGt7YzWOj3vlPu8ZJWQ455AkDg65p30hNtTacHbSh3xFDTiArQ0LLTSsRhG9NVbccOcv09xbY4W1iMF6PWxvrMaRITcEtlBeCFhY11ajgE7n8icR3azaq+WMYED5M6CqiJnIlW4l3zXG/RGcn/ZjMlm2v8ooyN8Dam26TvQhhBBCCCGEEEIIIWS1VUS0KBSL4/Er00uCBgAwEYjih5cnSzCq8iMKAnY3V0MUssuYprIITaKAW1oduo1ne70NRoMIg0GEQWQwGgQYDQIMIoPBIMJsENHp1D9DNRRL4MkbM7g8G0AsGT3nAAY9YTx5YwbTQfV+rqvhymwALwy6s14/EEvgxIQXLw+6S1ZCddKX3etcFBaCE8DC/pW6eM4Y8HTfbDpADQCRhITz03480z+L6KLy4WR5Ls748dKQOx2gBgBfNIG3xr14dXhetWfsathSb4PZIGQFqFP/CozBZBRRa9V/8kebXTkA2evKfjwcj+MHl3N/1kwGY0X5rNmcnKiRazKBKAqosxphNxU2f6zKKOK+njqILLuceern29pdaKjKzopWOxd3leBcXaj2ajNMopAzC1UUBTRUmal0/zK0OeQMaaXPAANDSY71crSS7xrX54J4fmAOUxl95YMxCScnfHhpcA6JHO0UyOoThMq9EUIIIYQQQgghJSNfQKq8G9FVRVy+ePLGrOLjwbiEK7N+nUZTvuKShEuzwZwN3hlj4ADOz+bPKiy2N0a96Z8FQUiPK5XJLQE4OeHRbTwpxye8CMYSS0rbcsgZ36UI9Pmjcbw17k2PY7FRfwTX3fptu0zXPGEIyQDEQiB66f4FyMu8MeoBx9L3wQHMh+M4N0XH6kp5InGcnPDlfXzIG0b/fP5s2NUy7I2ks3bz7RtPqZzHi41zjtfH5iEKbEkJcoHJ+/LrGecoAPjFdfXPmqszgYLG9da4FxxYcp5O/eyJJjC2aGLISrRWW/C+Lc3Y2VSNOqsRNRYDNtfb8J5NjdhYZ1uy/BsjedaVkFpX8wWPSW9vjnogIf+6HvVHMFuiSUmVyCRA9TOAs9VpnVGJlvtdIxhL4OiYJ73MYuOBKK4pVIYghBBCCCGEEEIIIaTSVESQOhhXz7w8pRC4uVkMeMKIK2TZcMhZOnpl4gx61QMtV3UMmgNAOJ7AkCect/cqh5y9PO7XN3Bx3R2E2mX9KzqvKwA4M+lNB3gyb7mkHoup7YNu/fbBtebanIb9pARBjKNj8wCWBq4yRSWOWGJp6fjVMuAJI8EXsrkNopC+CcLCvjqaERDW8llzctKruoziuDRMIjg9WZzPM5tRxJ5mBx7a2IiHNzXhljZXzhLDQ54Q4hnrymQQ0rdUSfK4BIx49Z8AUYgRn3r/5JNFWtc3g+f63aqfAQAw6KFA6kq+a2iZiHZ5rrBJMoQQQgghhBBCCCGElJOyD1LHNJYGjlPMC/PhuGoAKyZxhOL6BIq0bBK9t5s3sjSraTEGYD4SU1mquNzhuOq4PJG47hneqSCPUvBxuWISR1CnfXCtmQvFVPeT+bC++y4ARPM1P15kLhRf5ZEsmAxom2iSWi4W1za2Qs9ZWlaVP6rv8TGRXAepiglAdnWEVHL1hMZ1Wg7ikqTpM8gX0W+frHT+mPp+yRjDdcr2XdF3jXkN3wP80QRN8ioBAfIEnoq7qf5fASGEEEIIIYQQsnpyJb9Vwo3oq7DGlzoQaZ/QTOu6EoWbd6Vqee8cgKjzycjA5D7iSpeeRVbcYLEWhlXaV/Rev2uFlu1Rzse32aDfvCitL2VI7otaSxTrsXb13oSGZI/hlMxewwv3LayrSqB1T6PS1NppXVNmUVzVcRRLMJrAkVF31uSZGosBd7TXwG4q7D2s5LuGQVD/HsCg//mBEEIIIYQQQgghhJDVUvaZ1Kn+xWpc5rKPt6+6DodFNQun1mKE1aDPBWSLhihRdYEXgperxmKAVcO42qstOowm4/VUth2DvH31tr/FUfTnrLUYUGWsjCBGuVHbBxiAzhLsJw1WbeffXKWmV8vmHH2Xc9lYWwUAEDUG1lzmwvZdu1H9/NOm8/mn22kBQ/5JMCw5iabLqf++tVKCIMCiYeZWZwW9p1LTekwdbLGv8kgK5w5F8ZPr00uqO7jDcfzs+jRmCuxVvpLvGu3VZtXvAe0OM83oJYQQQgghhBBCCCFrRtkHqQFgfY1VdZl7u2p0GEl5q7Ma0VRlkoMNkDN5DAKDmJElt6NRv4vHm5LBH0DOVhOTY8nMXNvbVK3beFLj2NGgvA56nBbYihA855xjwh/BayPzeKpvBi8MzuGGO5izb3inwwK7UVTMVNtar/+F/zqradl/02QzKb6PHY36bvNCJCSOAU8ILw268VTfDI4MuzHqC+tedj2lx2WB1ZC/gCdj2gNJxdRgUw8+11j0nUiUkLhq5icDEMpoKbHepf5Zc093bUHj2tO8sP/nPS82F2dyyGwoiucH5vCDy5P4/uVJPNU3g7EcfZoDMUk18MUYgz+mrf1GuWitNqsus7Ve/+OlUu3S8HktMsBk1G8yyko9OzCn+PjzKo+rWcl3jXaHBQ5z+X0PIIQQQgghhBBCCCFktVREkPpAi0NxoFvqqlBlokxqxhju6HTBahRgEIV0ZhyDXFLSbhLRUKXfxWNPJA6BySUsBYaMPnnJ+wDMhfXvB7qhtip98Zhl3AA5k+mWNlfBryFxjjfHPHh5eB6jvgg8kQSmgzEcn/Dh6b5ZBBf19hQFhsM9tekSo5ljEhnwts4a1FpLc+H/od7a9BjVpMZan9zP2KLbgRZHSTLCVyKSkPDcwByOjnkxGYzCE0lg3B/FqyMevDI8X5K+oAZBwNt76tKZ6Jn7iUFguLuzVtdsZUCejHFjfmngMxOD3CNYT55IHGoJh4zJy6UcanehXiGYfrC5GlXGwj5rOBhEpfMiA2JFWFeXZv14bsCNmVAMCQ5IHPBEEjgyMo+jY57sMWmcdFGqyRkrwTmHOxxX/O7AAIz7K6fPdqnNhmKKAVT5OwdyTsQqJ+O+sGpveAnAkCdU0Oss97uGwBju666DI1kZKHN5gQF3dLjQULX8iWOkcPK5ujJvhBBCCCGEEEJIqTChMm9EXxUR2X11xANRFMAT0pJSiAxAvyeMPU3VmkuDr2U33CGkkt0W9xWNJDheH/Xg3q7CMgG1mgxE09mB2b1NGTjnEASGMX9EU3ZWMTHGsKupGutqrLjhDsEfS8AsCuh2WlBfpAvAl2eDGPLKgbvF+2wglsBrI/M43F2btV7sJgMe2tCAUV8Eo74IJM5RazWi12WFSSzdvv3yqDcdoBYFljc4m1rGLAp4R08dJgNRDHnDiEscDpMBvTXWiirzfWzMkxXABBa25UQgirPTfuzRed8FAIfZgIc3NmDEG8aYPwKJA/VWI3pcVhhLsJ8E4xJiEodBkI9rJI9vDoBBDroyxhCMc/z/7N15nGRlfS/+z/Ocpdau3rtnX5B9F1QYdxFEJVeJmhj1hUQ0+YUoUQhuuYpxiUn0XjQREqJRAbO5cY2KQQnuV4y5oKAg6wzO2jPTPd1d3bWd7fn9caqqq7prOdPVfapO9+fNq5juqjNVT9XZas73+X6/rqdC65ntV5DwA8JKKdTGV4VYOCYt7vP90hNHcXi+iB/vn0XR8SAADCV0vHD7IOJ656fMBw/P+ZOHFkXQq8dFIfDwZA7P2tS/7NeYLtp48Eiu6eNPzRYxmjRxQjlzPGjFhOVUVugW21PIWi40TUIqBU8BCmqhrLlSEELgcK6EnQEy6Ak4mrer+68Cavbz+t7esyW7p7eVJ2bywZabzmNb//K3jeV810gZGi47cQQHy98DXKUwGPe/B8QClA8nIiIiIiIiIiKKkp4PUjueh4mcn+mkNwnAuAp4KluqXnBfr1xP4dGp5oEJwL/IPF20MRhCtmUlltmojGwlIFNyu1c+Nm3qqxIg95TCY8earwcFP4P8WNHB8KLsaCkEtmbiPZNtPJm3UHDq11GrIKMpFyYlbEjHsCHdvtxuL5qzHBxsk2H55HQeZ46kuhIYlkJgW3+iowDKSqlsDXWB10X7vFJ+cNDPxA0nSD2eMqEJAa8cjIRYOO5Uxy6A8QbBovF0HK8+dXX2wbzT/JhXGd+BBiW5j8cvDs+1Xeaho/PVc2a2ZAd63rzjrkgrhDBUslBVef377alrtr3yZ51bVNWCmis47sLkN2DJfg74n3cXT+uBBC1UsFIJ4cf7XUMKgS2ZOLb0yPcAIiIiIiIiIiKi1dLzaRlBS3HunS2u8kh630zJgRPgourh+c4CIEHVZis2fnxt1iHMlhyU2tQSFfAzzXvdU8e5Xw2F3Hd4tRwJsG5c1Z1y9b0moUtItC4FXQlg2yGWi9alXCifXxNAr/05bWhdmWTQ7thndxgdC7Jd1gbLH53OB+rf/dixYBmovaCSSd/us+7twtS9RUC0LfleaTHSy0ZSwSbpLZ5ERkRERERERERERCsrAhGlpRdEK9eca6+VKl5qhhcwAJS1wskc06WA2yZY280y1nuzBTwylUfR8aBrAjv74zhlMNlx2fjgW2IUtll/jLKmhLP/e32grVICvNIv01MKB+f9cqW2p9Bn6jhhII6+iPaOr41z8bhTTwgBQxOw2jV5BULd5PO2izmrJvNz0ToUQmDe9pCzlmYHHytYePBoDlnLgYTAhpSJs0fTMEMot7sik3eOczJA5fOo/L3av12bKR+lntRBCCGQ0KORGd4LEoYMtH3KHm+EOxCrDz7XVgepbWcxyCA1lUkh6kraR0UUx0xERERERERrR5AEkl4TtfGuBT0fMRpPLpQLXrx91AarN0a0rPBKChrvDSvMsCEVw2+yrTNxx1Ph9630PA93/2a6Llhf8hR+NZnHo8cKeMmOQSSN5e8aGVOHIUXLbEgFYKSHe3ZWbOmL48mZhXUohH/RsxKwqvypaxJKKYwnDRQdDz/cN41Zy/XL7cLv4fzYdB5njKRw+nCqa+8nqEo/1Uo1gNr3Ksu9lwUQStn8KBhPxbC/ZYlqv9dyPMSeqlMFv4R1q3WoFDBVtOuC1PdNZLG7roKAwp5sEXuyRTxnUz829XV+rqmMpdljRodBvv64jqlC62zquLbwGicMxHEkb9eXcm7gaRFqqSGFwGBcx3SbrPLRJr2BaamRAEFbTQCZWG8H/ofiBiQAIZufyzxPBXq/REREREREREREtHw9X+7b1CXShqwGpCuzL2pnYUgBbFuBwEHUGQEzgJMhBYqSRvvXGYqFfxH4/x7INs0mtz2Fe34z3dHza1Ig1uYzFgBGk71/AXxDOlYNmAkhoElZk5m69M/7Ds/h/x6YqX6+lTB95c+HJnPY22biQi8YiOt12XWL3ysAxHSJWBcrAfSS04fbBS8FUoYW6kw0gfqJTY3WYblVddUT0/lFAep6//fgLKwWPaUDjavFDMJKpnIm1tn8sXPG2ve/PaVmssj2/mTb5QWAjX3R6pF7ylDr96ULgR390XpP3TScMDAQ01uW837aYDLwd5FuSRgaYjXfTxodG0xNIh3Ryh9ERERERERERBSOP//zP18Sszz11FOrjxeLRbz1rW/F8PAw0uk0Xv3qV+Pw4cN1z7F3715cdtllSCaTGBsbwzvf+U44Tn3izfe//32cd955iMViOPHEE3HrrbcuGcvNN9+MHTt2IB6P44ILLsDPfvazuseDjKUbevtKYpmH5hf2hZ8mh19N5sIfWI9JGRoSAQLQ46lwAvp7ZotLst9rCQH8ejrc9eZ4HibyrfsNF13VUb9ox/OQs9uUVBfA4Tbj6BUnDPhBnCDxxTlH4VjRaZmt/+upXM+XDZ4qWFBoXt5DCIGSqzoOWK4VD00W2m4fbfeJFZYyFvpRN1K5P64vPP7wVPvj0YOT8x2Nq/b1aveDys9CCCSNzjJRR5MmThpsPnFgPGXi1Jogdcnx2vekFoDtRmt735aJVz+H2vcn4Gf8Pndrf1dbTkSNEALP2dLftCLCaNLAWaPpkEd1/PKOA9trfWxwAWRL7Xu70/pQKfcdxRsRERERERFRtywO3kbldrzOOOMMHDp0qHr78Y9/XH3s2muvxTe+8Q18+ctfxg9+8AMcPHgQr3rVq6qPu66Lyy67DJZl4Sc/+Qluu+023Hrrrbjhhhuqy+zZsweXXXYZXvSiF+EXv/gF3vGOd+Atb3kLvv3tb1eX+eIXv4jrrrsOH/jAB3D//ffjnHPOwaWXXoojR44EHku3ROLqbDFAr9N2gcf1QApRF3hYTADoj+mhZfBanirv2A3GUi7Bm7PDDXrsz7YqSbxg90x++a8xV6q+78XvvXKfEAK7ZwrLfo0wHS3Y1TEH0W6prOWi2OPB3d0zwbK925WzXy/8bcTf5qUENG3hJmV5PxACJSe8QPWBXKntNiuEwIF5/9zheR5KQc41HUxgAVBtAyAEoGmi5rMS1V6+7gpM4jhvQwbP3tyPvppS5gld4unjabxw22DdskfyFkS7EuNCYLJcQj0qhBB4+ngfnr91ABtSJmKaRNKQOGkoiZeeMBzahK21JG3quHTnMM4aTaPP1BDTBIbiOp61MYMXbBuE3uP9qAFgz6IWFotvFU9G5BxNRERERERERETdo+s6NmzYUL2NjIwAAGZnZ/HZz34WN954Iy666CKcf/75+PznP4+f/OQn+OlPfwoA+M53voOHH34Y//RP/4Rzzz0XL3vZy/DhD38YN998MyzLvw59yy23YOfOnfjf//t/47TTTsPb3vY2vOY1r8EnPvGJ6hhuvPFG/MEf/AHe9KY34fTTT8ctt9yCZDKJz33uc4HH0i1rppZhjydmhuakwQRmizZ2zxar/YArkobE87YOhFpyF0DTQHU3OAE3lACxqrZ/d6GE6Mq/Rpg8FTxAHVSvv/egQUJH9XawPSyqfKSRsn6bV2oh8KMU4HhAWGFBt0VP+OUsV9F5FQABKWt6m1f3Lf8+z1NQbad6BLM1E8fWTPty1pWPQLYJMK5E8DxsQghsTMewMc2A9EqJ6RKnj6Rw+kjzSXG9zCsftiu7Xu3prXLMUiqa2zsREREREREREYXr8ccfx6ZNmxCPx7Fr1y785V/+JbZt24b77rsPtm3j4osvri576qmnYtu2bbj33ntx4YUX4t5778VZZ52F8fHx6jKXXnoprr76ajz00EN4+tOfjnvvvbfuOSrLvOMd7wAAWJaF++67D+9973urj0spcfHFF+Pee+8FgEBj6ZZIZFJrAa7X98U6K4+6Vggh8IyNGbxo2yC29MXQH9MwmjBw/oY+XHrCcLUEbihjCbBMkHW7kjakzEDLjXWQbb4h4N/t5DXClDaPb5tpd1nflCJQv/Ju2pAMtp1s7HImpqdUTwRS4ppoGPBZnJmY0MPb4TcG3Nc3lYOXUkoESQLt67BPbdqUNcH8xn3PU2a4+8dgPNh7GoxF45hF1MrGtNnweFX7uxDBvy8QEREREREREdHaks1m626lUuMKvRdccAFuvfVW3HXXXfj7v/977NmzB8973vMwNzeHiYkJmKaJgYGBur8zPj6OiYkJAMDExERdgLryeOWxVstks1kUCgVMTk7Cdd2Gy9Q+R7uxdEskMqm3ZxLYPdu67OI5EeiDGBbbUzhatDFtObA8hZLnYqbkYMzxYIQY/IjrAgVH+SWAa8pFK6XgeX4wsz8W7iaYNnWkDNmyzLgAcOJA836u7aRMHWlDYt72yu/bf+9KKShVzkwGcFIHrxGu4wuCmlLAapGd+rSBRM/3SdyWieG+I3PwFJquw4QmMRDvTtDuwHwJj0/nMV3umZoxNZw0kMTWvljolRIAv1S1aLHOK0PylAptZtRYKlbdFputQ12KugzbbX1xPJUt1h2zlPLzxFX5mHXOWGfnGl2KarZmM2HPO8jEdIwkDExVS/vXf1ZKAeNJE6njnLBC1IsateJY/DgQkVmcFApZPidETRTHTERERERERGvHcns8d1NlvFu3bq27/wMf+AD+/M//fMnyL3vZy6o/n3322bjggguwfft2fOlLX0IiEZX4T3dF4hrcWSOtV2ba1DCcYMYLAJRcDz/YP4PHp/PVQKEHYP98Cd/fN42pEHuKVgJ8WoOrZH7/1YUywWF6/paBlhv+BRszkLKzXePpo2lociHYAyyUPdckcMJAvOPXCMuc7ba9qF8hAeza3O8H+Bo8PpLQcVqLvum9QkqJc9qsw2duyHRlbL+eyuFnE9lqgBrw+3zfd2QODxydX4Fy1Mev4HhtA6tCAHMh96A/f0Nfy3V43nh9wPnpYykYmqi7sC+EgIB/zBpLGhjscGJCwfHaBshmLaf5AqtkZ3+s2j988WclJbBjgOWyaW04FLCv/KF8Z/3niYiIiIiIiIgomvbt24fZ2dnqrbaUdisDAwM4+eST8cQTT2DDhg2wLAszMzN1yxw+fBgbNmwAAGzYsAGHDx9e8njlsVbLZDIZJBIJjIyMQNO0hsvUPke7sXRLJKJkD0zmmwa9pACKrodjRV5MBIBfTc4jZ7tLQr8Kfh/gn01kQwtiKaBlWVspBEpu+D1906aOl50wtKTcdr+p4UVbBwL1cG3ngakcgKW9nCu/750rwfOi0c/YcVU1SK3JxvuhKN/8QJ6JS7YPYXsmXi3nnjY0nDuWxvO3DDactNBrlFL4zVyx4WwvIQSkENidbV3dYTVMF208Mp1v+viebBGHuxBY8dpkBlcYIa/7p7JFyCbrUAiBPbPFuvv3zVtQWDrLr/LzsZKDvO12NKYg5dm7UcL9wcmcvx83+qwAPHA0F/qYiFZD0DYjvV7xg4iIiIiIiIiIVkcmk6m7xWLBEnjm5+fx5JNPYuPGjTj//PNhGAbuueee6uOPPvoo9u7di127dgEAdu3ahV/+8pc4cuRIdZm7774bmUwGp59+enWZ2ueoLFN5DtM0cf7559ct43ke7rnnnuoyQcbSLZEo931gvlQNdgKA56m63wHgV5M5PH/L+s6mtlwP++dKLXOTi66Hw3kLG0LopevBD/Y1K+mglILtdecicNLQ8YKtgwD8HXYls5rnLAd5x2v6voUQUAAenynglKHezyp2yxuUH8DyA9EVtftipSyy53nIxHQ8c2MGz9yYabkN9KrpkoOs1TwYqQBM5C3kbRfJEPu8754tQKB5AXZRXiaM/bvC9rzA9RCSenjzouYtF0fbVI6YLjmYLTnVtgNPzrSeeCDgB75P76AaQJD4s9OidPpqODBf8vfzZvupELA9hcN5C+MB+7UT9aqkHuyY3Rfi8YqIiIiIiIiIiKLn+uuvx//4H/8D27dvx8GDB/GBD3wAmqbhda97Hfr7+/HmN78Z1113HYaGhpDJZHDNNddg165duPDCCwEAL3nJS3D66afjiiuuwMc+9jFMTEzgfe97H9761rdWA+N/9Ed/hJtuugnvete7cNVVV+G73/0uvvSlL+HOO++sjuO6667DlVdeiWc84xl41rOehU9+8pPI5XJ405veBACBxtItPR+k9hoEQBYHqAEg12F221qQs120y80VAGZLTmhBrFbByUqwtttWuuz2ZD5YSfWpYnil1ztR2aaWZFhioZS7qnm86HmQnsKebBEH5oqwlUKfoWNnfxybUt3pmXy8ZkvByi1nLSfUIPVMyanuM4s/RVW+zZTCPRa26u++mGqYh786FpfMrn3l2uNOJUitlMJcm/OIgr/OOxHkmOeGHKQ+sij7vtlndSQXvSC1UgoTeQt7ZguYtRzoQmBTOoadmUSo+y71jqDl9OedaFQ7odUnBaBF4LvLYhEoXENERERERERrmJACImL/OD3e8e7fvx+ve93rMDU1hdHRUTz3uc/FT3/6U4yOjgIAPvGJT0BKiVe/+tUolUq49NJL8Xd/93fVv69pGr75zW/i6quvxq5du5BKpXDllVfiQx/6UHWZnTt34s4778S1116Lv/mbv8GWLVvwj//4j7j00kury7z2ta/F0aNHccMNN2BiYgLnnnsu7rrrLoyPj1eXaTeWbun5IHVQUQh8rbYgF9AUeqeEZRQzbIMImnwVpQuetdtM7aiF8DNDK/cpAHnLw88OZ+F4Cx3Hp1wbU0UbG1MlPGM80zPbYDNB103Y67DyepVXrby8Kvd/91TwUrYrNyZ/+xBQ1az7xQTKy4Q4tsrn0G57rS0/X/kMW+l02xXlQbTKhg+7JL4e8LPSI/alUimFnx+Zw775UrUCgQWFJ2cK2DNbwLM3DWCowx7jFD1Bt+Oobe9ERERERERERBSuf/u3f2v5eDwex80334ybb7656TLbt2/Ht771rZbP88IXvhA///nPWy7ztre9DW9729s6Gks39HwtQylloNy7DUleaO4ztWqwoZUNqXAy4dqNRQiBeNgRtRBsTgfLUt/Z33nv6zD01WQb1gZHK7G6up8B3H9kri5AXetQzmpbUrkXjCfNtscdQ4rQA1yjSWNJgLr2ZymAwVi4c4/ShlbO1hLlgHXNdgI/WKxJP0AdZq/lkYRZzSJrtr1KAYwmjPL9AhtT7df7xg6Pn0ldVvs81wWFKzchQs9WPmEgEWjfjsoxq+KpbBH75ksA6jPCFfw2Bv91aDb0rHXqvp39CWjlfXDxl+DKfqgJgRMy0dreiYiIiIiIiIiIoqbng9QlJ1i/0wR7B8JVwUrJ2iFdlA+yRoIE1aPGgwg0sUJf4TLjq+UZG9J1v7doWwshgILbep99cjYPFWKwcjliusSONgGKkwYSoWe8KlUfOGzECjnoJoSAUf4chBCQQkCTAroU5eD0wmDDXO3T5XL6rbZXADg4X6zed9JAsunzCfgB5k0BJ6E0c+Zwuvz6ovp5yfLPlc+qskxYSuWyxu0+q7wTnbYaSik8OZtvuYzlKRzIlUIaEfUKAX/SjCYFZPlYpdccsyqTarwer/hBREREREREREQUdT0fJTtSsCBF64EKAFPFzvqErgVZy2lbqlYAOBZSL+Qga6S4BrPYgvSsDXM9dComNUiUM2RX4Jp9yVUoRKDX51mjaWxO+xmtouYGACf0x3HyYPOA5moJ0it7phT+djWWaJ35q5R/DDe18E45e+eCZezvm1sIUg7GDTxzQ6auj2flx4Qu8dzNAx2XeN/cF8Mpg4mmjz97YwaxkCddHZgvtd23hQAOzlutF+ohtqfa9kuP0nGYVk7QY+Q0tw0qkyK6NyIiIiIiIqJuETWJOVG6Ubh6vid1bdlRHfW9pxUAz1N+xkuPZ2aGwS8V6/+pFmVV15VyDXFMrXq8SoFgqd8R04vroRP3HZlb8cFG4VivCYFnbejHdNHGvrkSSq6HhC6xLRNHxuzOoTPI5xYsj39l7cjE/IxUBUhZPwKv3Ng47MBr0M9h8We6OR3DSGIYe7NFzJQcSCGwIWViY8pcsV7qpw2lkNA1PDyVg+UpCPhl088dS2Ek0Vmm9nIEfVtR2G8rFpdSl4u/O5S/M0ToLRERERERERERERGtKT0fpK70hq2URVVKLQSqlYIm/fvMiJROXk0ZU4cuBZxy4L7ZxfeRNlmPK0UC8LCQyVEZT23Q1liDaR69th46UXI9TAfI3j0eSV0iHmJGbacG4wYGQ+493cxowsTRQvPsPgG/b3XYnpgt+oHAmrLfgF9yWZMSnlJ+64ba4/cq25gyq/2IWxlPLg0KxzSJk1YpU14phV9N5bB3rgQIAVPzPw/LU/iviXmcOxq8r/1KSQTcH5MRaqthaBJ9hkTOUTWTg2q+OwgBT6lIHIdpZQXtQ+5w8iMREREREREREdGq6vkrznpN306gPpNa1NznrsWU3OOkSYET+puXkRUAhuMG+mPhzE2orCkpBHQpq71XKz8DwFqcW9Br66ETc+XS5bJmH2wnqcuW2YknDiRZNmOZtmXi0Fp8dArA0/rDL0OeLTqtj9H+L7Dd8I7TKmCObMII9yB0KGf5AepFKp/MA0fnUQi593MuYPn9fJvy2b1mIL4wya3RdqlJidFEb0xAofDMBJx4NRegdQetD5XvQFG8EREREREREXWNKFeUjdCNZRfDF4kQoYSffdZI5WKzFWLwo5edMpjExtRCH91aKUPDM8YzoY1FSAlNiLosttqglSYEoNbmXt9L66ETi/vvtltbAsAzxjOILcrMrPy9HZk4dmTiKza+9SamSVy4sX9JoLry69kjaQx3IehWCam2mnzgBwvDO04H7R3daY/p47UnW2z5uEJ9n+ww6LJ9cXQBfwJOVCilMFN0/PMOKiW//VslcA0AE7no9NmmlaGg2n751YSAFzDjmoiIiIiIiIiIiJan51M5RXkKQ/sL6NG5eL6apBB45ngGR/IWfjNXxLztIiYltvbFsTkdCzXIUMmebPhY+f61egm4l9ZDJ/pjut9bu/y7rFlvtX3gpRCAUpBCoD+m46Jtg9g/V8L++RIcz0OfqWNHJo7huMEs6g6NJExcvG0Iv8kWMZG34CmF4biBHf2JrvXKVmgToC4/5oU4KWUorlXL7jejS4GheLif2WyALM6gmZ4rZUcmjidni0B5n679xGonGe3INK8Q0WtsT6HgejXjr39c+ocszJQcbAt9dNRNGVOHlBJCqYbnssokhkwEqp0QERERERERERFFWSSuwFV6GzcjhEAiQr0yV5sQAuOpGMZT4fY1XY61GqQGorUempFC4Gn9CTwxW6jLPhTA0jKS5d8PzJWwNRPHzv4EdrYoe07LF9c1nDKUwilDqW4PpYZCu1x7T3kIq4BH1vIACOhtJoTMllyMJbVQxgT4wdF2hT/CnsaRNHT0mzpmy+WNG73+YExHPELn2drjU5NDFYQAHBWtEubUuZju7++VLPtmJZETenjHBSIiIiIiIiIiovUoEkHqsaSBibzdcpnxpBnSaCiocnJtS2GX2qXjd+pQErvblCiuVXDD7adLvaL9vlx0FcKqRm55wYKPYbeKGE2YOJy3Wk7QGevC+ezZmzL4wf4Z5Bv0p07qErs2RqNFQYUuBTTReiKUf37iOWi9GYrp7Sc/AhiOs185+aLa3zmKYyYiIiIiIqK1o7b9a1REbbxrQSTSotplY5pSYFM6utmqa1UqQBZSxmSmUq873hhe2uA6XW+CnrpDbEmNuBbs9BZ2dvAJ/fGmgVMB/3y2uQvnM11KvHjbEM4bTaPf1JDQJPpNDeeP9eHF24agyUh8Xahyy6WcW/G/c67leh7UiKFJbOtrvY9tScdgBjyGEBERERERERER0fJEIpN6KG7gnJEUHpzMLbmcbEqBCzZk2pZ0pfDt6I/jl5O5lstsj1CP0/Wq5B5fOdyNES5vTssjBdCi9XNVwgwv6DMQ05HSJXINMoMr4prEcMg9qQfjBs4ZSePByfkl5zNdCjyry+ezzX1xbO6Ld+31V4pE++3SnxTAQOR6dNpwCgXXw+G8DYGFZgUKwGjCwBnDvdRKgYiIiIiIiIiIaG2KRJAaALb0xTGcMLA3W8JMyYYUAmNJE5vTMQaoe9TmdAz75oqYKTUu/zwSNzCeZDnNXqcLgcou1i4QaUqWxFiPErrEvO21zEkVAGJaeFn2QgicOZLGzyayTcd15kiqK9vrlr4YhhM69s6VMFPk+Ww1CCGwMWniYK55aXUFTqpZr6QQOH+sD8eKDvbPl1BwXMR1iS3pOIbjOs9jREREREREREREIYhMkBoAErqGU4aS3R4GBaQJgQs29OPhqRz2z5eqgQIpgG19cZw6mOSF4AiI6RIJTaDgqraZiewNvz71x3TM21bLZYwuJKyOJAw8a0MGD0/lMGcvTJZJGxpOG0p2pfdzRULXcMogz2er6YT+JA7lrXLv6aUGYzqGQs6kp94hhMBwwsBwgpPlqDUpgCjOH4rimImIiIiIiGjtYE9qCoJXZ2lV6VLg7NE0Th1KYtZyIOAHtAyWWI2UM4ZT+H9H5gE0LqEr4Pd3fVqb/vG0Nm3ti+NgzvLL5aqFLr+V7QIAdnZp2xhJGHje5n7M2S6KjoeYJpExNX7hWAfSpoZnjWfw86NzKLmqWs4Z8Es6nzOa5nZARERERERERERE1CUMUlMoTE1iNMEs26gaTcawOWXhQM7Plm2UnTOeMJAyeUhZjwZjOjYkTUzkLQjhB6drJXWJ7V3scyyEQMbUkeEhaN0ZjBt40ZZBHCnYmLMcv7R6wkCaxyoiIiIiIiIiIiKirorMVdr5YhH/fbSwpLfkSFzD2aOZUMfieR6emC3iUK4EtzygPkPDyYNJ9Me6/5EWHBf750s4krfgekDK0LClL4axhNGVrLH7Dmcxa9X3pe7GeqtVcl08OJnDXM244prE6UMJDMRXJpI1b1n4f4dz8Bbdf1J/HFszjbNKJwsWnpwpIOf4f0uXwJZ0HDv6YpBdzD6fLtqYLDqodBTWFkWphRA4qb97Qcj15lCuhD2zBRTLByBTCmzvi2NrpjvrQAiBc0bTyB+cqY6p9rET+mL45VQO85YLKYCxpIktfTEk9dXvUT1XcvDA5DysmvR/QwqcNZzGQINSz5Zl4WdHc7AW7bijcR1njfat2LjuP5LFTKn+uLg1HcNJTUqAO57CwVwJB+dLsFwFUxPYlI5hU2rl+lgfy9t48Nh8XaUETQBnD6UxmIxmSWTbtvHfR3N12+VT2SK2pU2cOJjq4siiK2c5eHSmgNmSAwVAAhhNmjhlMAF9hc5TtufhwLyFQ7kSbFchpgtsTsWwMRVbcv5ZruM9NiyHpxQmchYOzJdQcDzoUmBDysSWdAymtnLn9GNFG/vmishaLgSA4biBrX0xTsZYIVIIyAhWXYjimImIiIiIiGjtEFJARKwXVdTGuxYIpZp1a+wd2UIR/2+y0PTxmBR4zuaBUMbieB5+eihbd1Gz1qmDSWxKx0IZSyOzJQc/PzrXsG/wWMLAGcOpUAPV3983vSRIW2EI4HlbBkMbS0XecvHTw9mmj58+lMSGVGfrcKZg4f7JXNPHxxMGzhhJ1923ezaPp7KlhsundIlnjvd1JVA9MV/Ew9P1+59Sqrod1f789JEkBhPd2/7Xg4encpjIN+7/PBTXce4KBlKPx08OzKDoqabbxmJSAOeMpDEYX73g52TewoNTzffDMwYTGE8vBPYty8KPDzdffiXONa7r4kcHs02Pi32GxDM39NfdZ7ke7jsyh4Kz9G8ldYnzxvo6DngdnCvikZnm59nTBhPYmI7WRBTbtvGjifmmj/ebEueP9zd9nJY6VrDxi8nGn6kmgF0b+mHqnW2LRcfD/UfmUHSXbu9pQ8N5Y30dT8xoe2wYSmA81dn27noKDxydx4zlLHnMkALnjfUhZXQ+UWf3bAFPZYt191VK258xnMJ4kiUkliubzaK/vx93PbIXqb7uTaxcrtxcFi89dRtmZ2eRyURv/ERERERERBRNlX9PP+sfXgU9Ea3EF6dg42f/3x38t3SIItEYuFWAGgBKnsLR+WLLZVbKQ1O5pgFqAHhkOg/HaxZ+WF2uUnhwcr5hgBoAjhRs7J9vHARdDT8/3DwQAwC2Ah6Zah5AWC3/72jzADUAPHwsD9d1Wy7TTqsANQAcLtiwrIVAY85ymgaoASDneHhyNpxtfLHFAWoAdYHH2p9/PpkPZUzr1WTBahqgBoBjRQf758LfTg7NFVEsH3iabRuLeQp4cHIeTovjaadaBaEA4KFF2/ZPj7RevuQpHOzwXPOLyfmWx8U528PEotd45FgexQYBagAoOB4eOdb5ftcqQA0Av25wHOh19x5ufX6ZtTzMFOyQRhN9nufhwSYBagBwFZoGsI/HQ1O5hgFqAJi3XTw23fn23vbYcKzz7X13ttAwQA34lRF+OTmPTueJThXsJQFqYKH3+sNTuabHDiIiIiIiIiIiom7r+SB1vskFvsV+FcIFdM/zMFVsP57dXQomHslbsNsEfPbNlTq+KBrUtNU+0HswH26AIGe5CHK99qm55QfzpwrNg4i1fj61sM0+Ptt++z2YC2+CQcVvAoxrsaNdGOd6EeTY8psGAYvV1i7A2YyrgMMtgu6dCBpM/k12YexOgEPjox2ea2YX1xFv9Bo1n2fBcTFZtJe0uqhQACaLdkeBqCdnWgfsKp6ajc4kFMdxAq3PX3ZholRUHczbLSdYAH4QuZNtcd5yMdvme9/hvAWrSRA7iKDHhqeWcf6rcD2Fgy0mBSoAecfDTCnYd9xm9s0X0SqnXKE73x2IiIiIiIiIiIiC6Pkg9W8CXhQPI+yas4NdFJ0udSczK1tyWl6sBICi67UNZK9lB3PBLk5PdpBdtydgkDBfcyF/PkBA31X+RIkwLefi9gFeEF81ebv9dlLqwv693FcU8FsUrIZWAaJah3J+kLxoBQuWh/Hp1rb1zgY4NvjLLf9znMgFO94dzK3OhILVkA0wGQDwK3pQMEEnYE0Vl3/+bBegBvx9cC7gftHIgYDHhokOzmU5x63bj5sJ8n5b/v1yX/BWOg2Ek9+eIqo3IiIiIiIiom4RQkTyRuHq+SB1T20TAccigi640gJ+WL30kYYt8EGmgw9pLX2+y3kvPJDT8Vi1zeU4d/Ve3WrDGNda3GXX4nvqtqDfbTr57IP+1Y5eI+ixoYMXCfw+OtzDg/x97gpERERERERERNSrej5IfcJAMtByYbyRlC4DXewb6VIz+KG43jajJmVI6D2UWhH2SLamY4GW25QKtlwjpwzGAy03GNOrPw/E9RZL+nQJSBnuLrszkzjuv7M9E+z90/FLm1rbZZJ6+If15b6iAjAYW53jZdBtd3ufv6/HTDPQ8mF8ukbNMXogprc9Torycsu1oy/YPrszQvv2QDzYdhXXeud82Os2JIPtI2MdfAcaDHAulALImMvf3k84zmPDcqQMrW4/bmYowPtt9/fbvcpQwH2BiIiIiIiIiIgobD0fpDb1YBfwnj6WWuWR+AHC8TYXaQWAHR1c2OzEcNxAXGu9Srf3xUPLdN0Q4EL1zky4n1VM1xALcOF4a8CgTSPpgMGuc8f6qj+f2N9+Msb2Dsa0XOMBg/q1BlYp6EjASQEm7QQNwKykc0aCTSZazNQExpKrs70MJ4LthxvSC/tVkIDl2cOdnWtGAwSlzhhe+DxNTbYNDm5ImTDbHPtb2RTw2LIxHZ0gtRAi0LH+nNHV/+6wVoylTOhtPtKBmA69g8lUCV1rO9FvcyrW0WS7oWUcG46XFAJbW3wXFAD6TR19HQTbAf+7SqvJiZoANqaCvV8iIiIiIiIiIqKw9XyQGgCev7Gv5eMDpob+WDgX4U4dTKDPaJ7NeM5oOvRs1wopBM4ZTcNcFGip/La9L942yL6STh9JtwwSpHSJHQGCsyvtWRv6WmYenbcCQYtnj7d+jhP76y9+x3WJ0wabfxYjCQPbuxB8BIBnjKUDL7trQ2YVR0L9Mb1lNuuWdAxjXQhIDCZiGGyT5b14nzOkwLmjfZCrOGnmgg2tzx3PGK1//NmbBloeG/pNDUMdHkPPGu1DrEUwfCxhYChe/xonDyabZkoPxHScHLDiSCvnjbbez88/juNAr9jUZpKNAGDI9tUJaMF5Y83PnzEpcPZI5+fP04aSyDQ5ngzHdTxtoPNz4bOO89iwHNv74tjQZBJOQpc4cwU+q/6YjlObfHfQBHD2SLqjCSzkk0JE9kZERERERETULQJ+27VI3br9oa1DQinVrkJ0T3AcB/91eA4lr/7+UwYT2NyF7K6D8yU8lS3AchWkAIYTBp7Wn0S8C6V2F3M8hYlcCUcKNlxPIW1o2JyOIdNBOdjlmi05+PmROSxabTAAnL8hg2SLgP9qcl0Xj80WcDhnV8c2GNNxxnASprYyY7IsC/dN5lFwF3YxTQDnj6WaZlvnbQePzxQwU3KgFJAwJHZmEhgLcXJBI7Zt48cT800ztgwB7NqYgb5Cnx21lrUcPD6dx7ztAgCShoYT+xMY7HJZ1wOzBTyWLVa3EwGgz5Q4eSCJgzkLc5YLTQqMJgxs7DAbMijHcfCLqRyy1sJRqM+QOGck1bRSxwNHspgqudXfBYBTBpNtg57HY/dMHnvnStXjjy4FThtMYDTZ+DWUUpgs2jg0b6HkeohpEhvTJkbixopVxyjZNu47mkOx5piV0AWeMZKCYUSrQoJSCvceysJRCo7X+MilS4ETMnFs6UKViihzPA9PzhRwuGDB8/wJJ1v6Ytiajq3YJD1PKRwt2JjIlWC5CnFdYlMq5pe3XqHt3XEcPDCVw+xxHBuOl1IKMyUHB+dLyDseDCkwnjIxljShrWAAMW+7ODBfwmzJgSh/J92UijFA3aFsNov+/n7852P7kOqL3iS83FwWF5+8FbOzs8hkojd+IiIiIiIiiqbKv6cv/PSroa9SFc3V4uRt/PQPv8p/S4coMkHqygX6g/MW5m0XQgBDMR2b07GOyyXS6ig4Lu47Mocm8QEYUuCZ45me6pFNrc1bNh6ZLtQFsQzhZ3p2O0BK3ZW3XfxyKge7wQ4/njRwYn8itFYDRLbr4d6JbMtlBIDxpImTW1SxIKL1i0FqIiIiIiIiouPHIDUdj0hEd5VSeGKmgMMFu+Y+YLLoYLLo4OSB7mea0lIH561qgLo2NFUJYdmewpG8taLZib1EKYWs5WIib6HoeNCl3393OG5EsgTjTNHGr47ll9xvK+ChY3mckIlhU4R61tLKUUrhoWONA9QAcDhvI21o2JgKf19XSmG65OBw3oLlKpiawHjSxGBs5TIyl6PguJjIWchaLqQABuMGxpMGjC61i1hrgh5jA7QhJyIiIiIiIiIiIqJVEIkg9WTBrgtQL/bYTAH9MR0xljXsKUcLFoCFALUQAkqp6u+qvMxaDFIrpfD4TAFHFm230yUHSb2Es4ZTMCK2vT7UIEBda3e2hLFkOCWcqbccKzooua2LchyYL2FD0gw1MOwqhV8fy2Om5CzcaQNTRQf9pobTh1LQurC9TuQsPDFbqLtv1nKxb66IM4dTrA6yAjQpMBjTMV277hdRAEYSnOBGRK2JiPZ3ZvUSIiIiIiIi6iYhROT+bRq18a4FkYiS/Wau1HaZiVz7ZShcrqoPUFf+rP4MNM28jLr986UlAeqKvOPhkenWAd9eczRvNe1HXWvfXHHVx0K9Z9Zy0O70XXRV6Pv7ntlCfYC6xqzlYveiQHEYZkvOkgB1hauAh6ZyTXso0/HZ1qbXdMbUkDG1kEZDRERERERERERERLUiEaQuul7bZY4Vm2dLrUdFx8XBXAn754s4VrTRjdbjennrajT7pHLfWky69ZTCgZzVcplZy0XOdhs+lndcHJz3191MqTvrbrHD+WCTQFplLdLaFmQrDXNLtj0Ph/PNK3AAwJGCDSvA+WUlHWgzocpRwJF86+MHBdMf03H6ULJ6nhFYmDjVb2o4YzjF2ZFEREREREREREREXdLzNUWDZpQx88znKoUnZvKYWhS0N6XAyYNJZEIsI6tU6/IIfvnvtRcgyNteoO1xuuQgZSxk8TmewuMz+SWB3pgmcMpgCmmjexl/81Z9IK/RWlMAXC/cgB/1BjNA6XpN+MehsGRLbjUo3mx7VQCylouRRHjztWYCTKiaLjlrsg1CN4wkTFwYM3C0YCFnu9CEwHDCQJ+hMUBNRIFIEc1JlVEcMxEREREREa0dQgqIiP3jNGrjXQt6PkgdlKlHIil8VSml8Nj00iAnAFiewsNTOZw1kq4LjK4mIYQfqW65TChDCZUKmi9as5hSCr8+lsNcg+zqkqvw0NQ8zhnpQ7wL23nJ9VC7RTU7TgsADFGvTwWrdcYyAIQ9j6jyci23V4XQKxVwOlX4dCmwMcWgPxEREREREREREVEv6fkgdSX7zmoT4RiNGyGNqHfN227LcssegAPzRZw8mAplPBlTw1TR71UrxEI2o4Ifu1bwy7GuNYkAWaUAENcXomczJadhgLrCVcDBXAkn9Cc6Ht/xsl0Psv18AwD+OD2lINfi7ANqatb2INA+AOsp/5gehpQu2/bJFsCSSTtKKRwt2Dict5B3/G1/MKZjUyqG5ApM8OkzNWSt5vt6ZRkiIiIiIiIiIiIiorWs59OPhRDYkDRaBhsEgPGkGdaQetZkwW4blJkqOvBCyhzclIpBANCkKAeqhX+ruW/jGlxvdsDP167phTtZbJ+JerTQpT61NRtVkNjzDPtSrzu2p6oTURZvIpX7hACgwsu1t8pjakUIoFizHyql8PhMAbuzReQczy9hr4DJooNfTuUwHWA/bWdTgGMez2dERLTW3Xbbbbjzzjurv7/rXe/CwMAAnv3sZ+M3v/lNF0dGRERERERERItdddVVmJubW3J/LpfDVVddtezn7fkgNeAHXzUpoIn6AIgU/huQArDd1plp64Gj2heaVgiv7K4QfjDa/1nU3O//rEmxJstDO55qO1lAAqjdYoP0sHa7UJoYADRRWYfBlmd/+PWr0rdTl6J6k2Jh23FD7EFvB9wOa7fXw3kbx5pMslAAHp8pdLx9KzTukV3BtidERL1FChHZWy/76Ec/ikTCrxB077334uabb8bHPvYxjIyM4Nprr+3y6IiIiIiIiKhT1aTFiN2osdtuuw2FQmHJ/YVCAbfffvuyn7fnay3brgerHJwTQiwtFVv+fXe2hNOHe/7trKpYgDLTmgiv3O7hXPvM38M5C+mB8EtYr6aYJstZo/7vi0Naovy/eM36igdYd6bszkHSlM3HVlvCvaIbfbNXk1IKc7YL21MwpUTakDxZLVL7aTT6bCq7Q5ibRtDtsLKcUgqH8qWWy3rwJ01tSC0/0/lwwfbL56N+wpAAygF9gSN5C1v74st+DVpqumgja7mQUmA8abQ8rlF7nlKYs1w4SiGmSb+8Po+LRHQc9u3bhxNPPBEA8LWvfQ2vfvWr8Yd/+Id4znOegxe+8IXdHRwRERERERERAQCy2SyUUn6cZG4O8fjCdWvXdfGtb30LY2Njy37+no/qzpaz2tpd/Mw7zKQeS5jYP986yDKeNEO7kNyqx/LxLBM1piYxGNOr/cEbfdqaAIZq+qiPJU0cyrcO6ncSGOuEJgUkyr3EUQmm1QfMlVLVMvJ9K9C3t1dMFmzsmy/VZeXGNIEdffE12U99ueK6QLG8K1dK+1f4wdhydYEQg1gpXSKpS+Sd5vUa4pqsbq+eAkpu+yzp+Q6PWTnbhRD+PqXL+n0I8D+vTl+DFsyUbDwxU6yr2nEoZyFtSJw6kIBksPq4Hclb2D9fglOzu8Q1iZ2ZGPpMHheJKJh0Oo2pqSls27YN3/nOd3DdddcBAOLxeMOZ2UREREREREQUvoGBgWqW+cknn7zkcSEEPvjBDy77+Xv+amLg0qfM4EFcl9iajmFfk0B1XJPYnI6FNp4gq2StlrbdkYkjOzmPZjGvp/Un6sowpgwNG1MmDjXJPk/qEhuT4a27Wq7n9+YVQgBKNS0fqUkJwFsz2XRHCzb2ZItL7i+5Co/OFHDKQIKB6jIh/HXfbNuQQsArz7YK61gthEBS11oGqTOGVt1egw6r0+E3++tCCL9iSItl6PjMWQ4em1m6DwPAvO3hV8fyOHskHfKoom0ib2Hv3NLvGEXXwyPTBZw2lER6DU1UIqLVc8kll+Atb3kLnv70p+Oxxx7Dy1/+cgDAQw89hB07dnR3cEREREREREQEAPje974HpRQuuugifPWrX8XQ0FD1MdM0sX37dmzatGnZz9/zEZaBRUEgKepLDFcSHNNrrMTwcm1Jx2BqEvvniiiVPxwBYCRuYHsmDiPErLHBmIGJNtnBg2s0yJfQNZw9ksaebBEzNT1uk7rE9r44BmuyqCt29MWhC4GDuVJdcHsoruPE/mS1v3fYDuasaiBPVgN69WOpBtiErJbmjzJPKeydWwhu1b6byqrZO1/CmaYW+fe6IlR9H/a6T6S8bfjbTniflet5mLFcaELAbdDLXRMCxywXnudBSgkpBPoMrW11h8XnpOMV0ySKbuPJHJX7EjqDfCth92zjAHVF0VWYLTmcbBKQ6ynsbxCgrlAA9s6VcPpQMrxBEYVAimhOquz1Md9888143/veh3379uGrX/0qhoeHAQD33XcfXve613V5dERERERERNQxv+Rmt0dxfCI23DC84AUvAADs2bMH27ZtW/F4SM9fmbVrAq2aFPUBMKWgCT9Q7bWv0rouCCEwnjQxljCQdzx4SiGuy1CD0xUbkmbLILWAX+Z6rUroGk4fSsFyPZRcD7oUiGvN+3bO2y6OFuxyKW3/PgE/4+9owcLGVHcyqY8WFoLsrQ5Alceylhv5oM9syYGrFvdaBpTyL/oqBRQcDwXHQ5JZg9VJFU0/L/iZ1J7yoCGcz+tw3i6PQ0AvB8oXxrYw0qNFB+Pl49CmtIlHp5uXGI1pouOJNW6ASRwOT2gdczyvOlGrlQO5UuSPV2E5VnLQvC6Bb952UXI9xDROHCSi1gYGBnDTTTctub+TEmFEREREREREtDq++93vIp1O43d+53fq7v/yl7+MfD6PK6+8clnP2/NXES3Pz8CrZJHWXtxfyO4EbK/dpdP1RQiBlKGhz9S7EqAG/IvVrbI4hAAsd+2vN1OT6DN1JPTmWbeOp/D4bAEe/HUny7fK8gdyVrU/e9jcRVmy7VhrIMBmeQvvWYiFCV+1q09gbbzXlSJrPqPFn5d/n0CLytsrrrTo2FLpm7F4H6xdbjBmYHtf48kgphQ4bTDVtKR5UAHaXsNukPlNx8cOuG8GXY6Cf8+ygmzkRLRuPf7443jd616HbDa75LHZ2Vm8/vWvx+7du7swMiIiIiIiIiJq5i//8i8xMjKy5P6xsTF89KMfXfbz9nz6kCkFBPyMvEaxAb/McOsMT+qOg7mSH2iFqivNXinZLoTA/vkSThvq+c1w2fK2i8miU82kHozp6G9QInqqaLetBjCRt7qS8acJ4fekDhg4M6SfNTtbcjBtuXA9P5t/JK5HqIyxWhKQXnikJks47GH1KCEA0WIqg1KAgIIe4mF6cSZn7YQZpRbKti9ebmMqhsGYgcN5C3nHhRT+fjuSMDoOUAOALkVdhZCawiDVMZldqtGqlMK87WKq6MD2FAwpMBzXkTaiV9beCPgZBl2OUDfhTaB+n6qNS5saP1NaWyoTB6OmV8f88Y9/HFu3bkUmk1nyWH9/P7Zu3YqPf/zj+Pu///sujI6IiIiIiIhWSm0yU1REbbxh2rt3L3bu3Lnk/u3bt2Pv3r3Lft6ejw7GdC3QhsELzb2nkmUqhFhyQbsiH2ZqZYiUUjiQs3CkYNfdP11ykNQlTuxPQK/5QNr1wa0s041+z8NxHYcLtj8hxA/Rtlw+qQs8Mp1HsSZqMVcuZb4haWBj0uz5gFcl4FqZTFH53Cu9lZUfdS1/HiSFXw2g2Xr17xZtSwWvpPGkgf05q9xLdNE6lJXy48BofOlpMK5LbM/EV2VcowkDh8rjqlX56FwFjCSW9qxfbZ5S2JMtYtaqPxYdKznoNzXszMR7NuDRiC4lYlK0Lfm9qUttFKJoMKbjKZQnmi3ap/RyOxZTCJb6JqKWfvCDH+Cf/umfmj7+u7/7u3j9618f4oiIiIiIiIiIqJ2xsTE8+OCD2LFjR939DzzwAIaHh5f9vGviSqIQqAv4EXXb0aK9JEBdkXc87M4W6+/s4VhnyXbKQQlAtglQSwHszpbqAtS1JvI2jnWpbPnxEGJxf+UG7QZq/r/e+cHL9p9FmJu5JmW1EgewdB0K+BnLMuR2CBlTq2tfsbgMuS4FEl0I8u2fLy0JUFfMWi4OzJdCHlHndrSZaBDXBAbYjzowXS60XgEa7FNCNJ6NRkRUY+/evRgbG2v6+MjICPbt2xfiiIiIiIiIiIionde97nX4kz/5E3zve9+D67pwXRff/e538fa3vx2/93u/t+znjUSQus9oXyK4z+CF5l4TpGRtQo/EJnhclFI4nG8coK6Yt13knYWAUNpsv413o+RuyfUwX5P+KqVoGoOoZKy2y44/nLf8TOQeFi8HCZtnBvv3r8Xtdzn6jNYVL8qJ56FmWJYcr9rjvREh/MzuYsjVHI4VnerrNxoTgNAncjiewlSx9WtOFh04Eevf3B/TcVJ/vOEXnbQhceZQMvQxRdmRvAWgdXsV21Nw3faVQYho/erv78eTTz7Z9PEnnniiYSlwIiIiIiIiIuqeD3/4w7jgggvw4he/GIlEAolEAi95yUtw0UUXre2e1AAwnjQxN1to+rhEd8qjUmubUjE8NVdsucyW9NortVp0vWrP2VaylotkuUfzSNzAwflSy3LIG5LmCo0wuGw5s1JgIQu2ts94NWBdadQcQNFVsD3V031LrRalqyuEECi6HkyWtsWWdAyTNUHOynZR6bMsBDAU10OdZDFZbD1RpOJo0cbWRcchTynMlBzkHQ9SABlTR0qXKzL+Wat9AHrWcjAe4v4+Z7tts9wV/Mk1Ucs8HowbOC+mY/9cCfOOCymADQkT/bFwt8e1IOg+daTgYGO6/cQroqjQAPTwV5amenUvfP7zn49PfepTuOiiixo+/rd/+7d43vOeF/KoiIiIiIiIaKVJISLVPhBA5MYbJtM08cUvfhEf/vCH8cADDyCRSOCss87C9u3bO3reSFxtHojp2JQycTBnLXlMAHjaQILlvnvQSMLArOVguklW4FjCQMaMxCZ4XIImCdcup0uBEwcSeHym0DBYtDFpdiU4VMl4rvQdrZBCQIiF9yDkQkAy0POu8DhX2nLW4XqmS4ktKRMH89ZCz24szFsQALaHPCEl8La4aCXOWQ6emiuitmL9kYKNhCZxQn8cRoflwYOMK+ztKmhlg16vgNBItrw+a+cNPTVfQrJoY2em8/W5ngRd/V7PH+GJqJve+973YteuXXjNa16Dd73rXTjllFMAAI888gg+9rGP4dvf/jZ+8pOfdHmURERERERERNTIySefjJNPPnnFni8yEcJNqRgMKXAoZ1WzVFOGxJZUDOk1GOhcK57Wn8BUwcbBXAml8npLaBKbUzEMxNfmeovpEhJomRUNAEmjPjiSMXWcOZzCkYKFmZIDpYCUoWEsYaCvS9t4sqbUvlj0JxA4ebqOJoKVgu+mZMAy3kGXW+uUUjhSsJf0f648puCXsB5JhJcd3G9qTfvC1y+3sG8VHBe7s8WGIbaC6+HJ2SJOGUh0lIGb0jXM2a3LIacCtLhYSZWKDm2XC3lcnco7LvY0WZ95x8Pu2SJO7nB9rid9pkSp2L6U95DJyjZE1NzTn/50fOUrX8FVV12F//N//k/dY8PDw/jSl76E8847r0ujIyIiIiIiIqJm9u/fj69//evYu3cvLKs+qfjGG29c1nNGJkp4KFfC4XLAQSsHuIquwu5sESf0J5CO2MXz9WQ4YWB4HZVj14TAcMLA0RYBMlMKZBpsszFNYms6jq3p1RxhcCldwhSApRYCj83iOZXM6trS4I2MJoyeDwolDQ1JXbbsrz1gajBY6huAXwa4Wf/nyn2H8laoQeo+U4cmUJcRvZgm/L7FFUcKdsttt+h6mLU6K3k9mjDaBqnDbl8R1yX6jNbB8z5DC7Wn+Eo4krdars+C62HOdtdkRY/VsDlpYrLYvPUK4LdfSZj8PkZErf3Wb/0WfvOb3+Cuu+7CE088AaUUTj75ZLzkJS9BMpns9vCIiIiIiIiIaJF77rkHr3jFK3DCCSfgkUcewZlnnomnnnoKSqmOJptH4srsbMmpBqgX8wDszhZwxmCqGrwm6rZNKRM5220Y5JQCOCET7/lALeAHGJ82kMSvp/PVLFmlmgeqZU2EulFwKG3IrvTWXo6dmTgenS7AaVDjNiYFtvbFuzCq3jQVIGPZVYDteqEG9k/sj+PRmWLTx5+WqV+HM01aE9SatZyOgtT9pobRuI6jxcavtS0dQ7wLweDtfTE8OlOoViqpZUiB7X3hlmvvlFIKs1b7rN+ZksMgdUCapmFzysCBXPP9/ZSBRIgjIgpHFHtoAb3fRyuRSOC3f/u36+5TSuE//uM/8NnPfhZf+cpXujQyIiIiIiIiWglCiEjEQGpFbbxheu9734vrr78eH/zgB9HX14evfvWrGBsbwxve8Aa89KUvXfbzRiIt6khhaS/qWp4CjpXaB0mIwqIJgZMHEticMhErT57QhJ9FedpgMlJlcxO6RFI/joOzAE4dTGAk7meyAkBcE9iaNnFif6LnL5pWxDSJ04YSGE8Y0MtjNqTAxqSJUwaTMDgppsoO2KzWDbmnccrQcfpgEulFpfVTuvTvrwlOVsqSt9PpexBCYEs6hp2ZOFKGhIBffaDf1HDyQCL0LOoKU5M4bTCJDUmjum0bUmBD0j9mmRHLolYI1v877G0y6saTMezsi2HxKSEmBU4bSiARoXMbEfWOPXv24P3vfz+2bduG3/7t30ax2HyCGRERERERERGF79e//jXe+MY3AgB0XUehUEA6ncaHPvQh/PVf//Wyn7fn04eUUsjVZKMuDgtVLi/P2y5GQ0rgUUphznYxVbRRdBWkAAZMHUNxg4GrBvKOi6mCjXnHg4BfNnY4biC+xvv5SiEwnjQxHpHM4VYSuoaC42d+tosxm1IgoWvY1qdhW18Ig1tFhpTYnI5hc7q3skhLroepoo2s5ULBD7oOx43QexlXBD3q6V04PuoSSGgSlqv8kuTwy1svPvwIIWBKAatBJnGtlchyrrxWQpPwyiXyE7rs+vlDCn9yRlyT0KWCIQVimkQUT2tSCBhSNMwMr9WNrPWoG4wbGIxHv4WHpxRmSg6OlRzYnoIuBIbiOgZjemQmUxFFWalUwle+8hV89rOfxY9//GO4rov/9b/+F9785jcjk8l0e3hEREREREREVCOVSlX7UG/cuBFPPvkkzjjjDADA5OTksp+354PUFQL+hX2lVDXlXinVtv/tSlNKYd98CTOLyogeLtiYLNo4IZNAYo0HX4/HVNHGgVx9JvxUycFUycG2dKyjsrkUHkMs9Jxup1uZoOtF1nLwm7lS3XFvxnIxY7nYkDQwFmLf54qkLpG1m/fvrgg78GO5Hh6dKdR9VgrArOUiaxVwUn+ibrLMSNzAwXzryh3DKxCcO1KwMJGvr/4xWXQwVXSwrS+G/i6Un3Y8hd3ZAoo1TbxtTyHvWJgqOnhaJh65lhojcR2H8q2rrKzE+qTocT2F3dkiCu7CccuGwoGchcmijadlEl2ZVEO0Htx333347Gc/i3/913/FiSeeiCuuuAL/+q//ii1btuDSSy9lgJqIiIiIiIioB1144YX48Y9/jNNOOw0vf/nL8ad/+qf45S9/iTvuuAMXXnjhsp+35yOEQohyFpeo/l77WCVQndDCuZg4VXSWBKgrXAU8NVfEqQMJ1q6Hn0G9OEBda+98CQldIsZMtp5WcFxMltzyRJHWk0Ik/EAfrQ7b85YEqGtN5G0kNA19ZrgZ1ekAQWqB8IPUT84Wmn5WCsCT2QLOGEpV72uXySwFqqXfl2vedpcEqGvHtHeuhFMHJQwZ7nFx/3ypLkBdq+h62J8rYXvE+rC3296k6E52P3XfgVypLkBdq+T6kxF3ZqK1vdPqYU/qlXXBBRfgmmuuwU9/+lOccsop3R4OERERERERrZIo/ns6auMN04033oj5+XkAwAc/+EHMz8/ji1/8Ik466STceOONy37eng9Su55Xzt5UDQO/lUB1zln9fGqlFI4WW2dl2Z5C1nLRzwxhTBba9wmfKtrYlOqtUspU71B5okFl/xNo3r9Xwc/INEOaNLLeHCs6bStHTBbt0IPUWUdBlo/FzcYnhIDneZAhBV8Ljgu7zYflKmDecqq9qadKTtPqHJWtf9pyOpqIcbTNcVHBX89htgmwXA9Zu/Hkq4pZy4XteaEHz5dLKYVjxfbrc9ZyMcjz9brieKrpZMOKOduF5XqR68VOFAUvfvGL8dnPfhZHjhzBFVdcgUsvvZSTe4mIiIiIiIh6mOu62L9/P84++2wAfunvW265ZUWeu+evvs3bHoQQbS9eFJz2pWY75SjVtr8lAOSc1hc/14v5AOV/gyxD3ZVvkG0myrOgBFC9yfJ+mgthX1yv5tsEEgEgF2CZlVZ0vGorhkbbRWUGWrPMxdUwYzkBl/M/L6UU8o7X8D1U2k0AnX++Qc4PQdbzSsoH3GfzETpeuwooef42qUsBQwCm9HuBG3Jhm+zG/kLdlQ/4HY3f5YhWx7e//W089NBDOOWUU3D11Vdj48aNePvb3w4ADFYTERERERER9SBN0/CSl7wE09PTK/7cPR+kDkKUAwrUW7hO1r7KBJK6MvxdHM9a16ufrRD1mfa69AODS3sYh/cOOn2l2m2bF82jp7LGdOF/0ZFSLqxP+NvomvgCRKuI+z35pIjurVdt3boVN9xwA/bs2YMvfOELOHr0KHRdxytf+Ur82Z/9Ge6///5uD5GIiIiIiIg6VEleitqNGjvzzDOxe/fuFX/enr9GmzaCDTEZcLlO6MLPwmonZYRbardXBVl3ffysel7yOMudJvWeP6xEVjpAGe90F/apyjailXv8VrOosRAkBIBEiGXgB81gJbkHyp+pECLQttvp5xvkHBIPeR9KBXy9KJ3bpFj4rBdPMqj8LgWQ4PFq3UnqwbbjoPsFEXXmkksuwb/8y7/g4MGDuOaaa/Af//EfeOYzn9ntYRERERERERFRjY985CO4/vrr8c1vfhOHDh1CNputuy1Xz1+B06REkPjzlhD6dwohMJpoHfgwpEAmQhfyV1OQiQNBJyFQ98Rk8ANFSpfs4bmKhmJG29y+kTbHqNWwOalDEwt5h4uzkLVymeWw+lEDQEyXMNu8nC5Q7UcNoO3xXRPAwBrsX2xoEv1tJkAMmBr0Xk7La6J1FryAp9q38KC1RZcCg7HW23vG0HguIwrZ4OAgrrnmGvz85z/Hf//3f3d7OEREREREREQE4EMf+hByuRxe/vKX44EHHsArXvEKbNmyBYODgxgcHMTAwAAGBweX/fw9f7VdKQVNAXaLZSQAL6Q0/KGYjoLj4Vhpab9TTQA7++IsDVs2a7nQhN8bVAMgywEOz1Nw4X9e0yUHfWbPb4brlqcUso7yyzZ7CrUdaf2kWAFA+etYADv64t0Z6DqhS4EdfXE8NVdEo9DaxqTZlUzqrKNalkKp9KsO29P6E3h0uoBGnZQFgKdlEnX39Zs6xhIejhRsSAFUGkl4SkHA3761Dt+Hq/wMXq/8Z+1rKPj7keuFHzjdkorBcosN+4YndYnN6VjoY+qEp9BwH6klBGB34bNeCyzXQ9Z24XoKhpTIRGwSw6ZUDCW32LAfe1yT2BKx7Z0oajzPw6233oo77rgDTz31FIQQ2LlzJ17zmtfgiiuuwHnnndftIRIRERERERERgA9+8IP4oz/6I3zve99blefv+eig5Sm4QkBTfoBs8eVkCUCTAvO2i1gIWS9CCGxOmeiP6ThWtFFwPGhCYCCmYzCmR+oi7WoruX7gSiv3q1XljDVdk9DKAZlCgwvE1DtqL+BrUpTXm1jU59Bfx/2m3tP9D9eKPlPDKQMJHCs5mLUcQPlVC0biBhIBy9iutFnLbfm4EAIKgO16MELMTjSkxGmDCUzkbUyXHHjwzxkDMQ0bkib0BpndfYaGrOX65xql/EgmBGJSrMg5RpYnd+iLj4tSQpWPi93ofaJJgaf1xzFrOThWdGB7CoYUGIob6De1yPVjCTrcqL2vblNKYSJvI2vX7vMujhZtjMYNDMV7/mslAP84kDE0WK6CW5NNrwmBflNDiJ0JKAJERHtS9eqkWaUUXvGKV+Bb3/oWzjnnHJx11llQSuHXv/41fv/3fx933HEHvva1r3V7mERERERERNShKP57ulf/Ld1NlevXL3jBC1bl+Xv+amLl2qGUomXJ4TCToYQQ6DM09lMOoHaXXtIXFO0z3ai7VM3Fez+21vzEkrVdGCWBkXj45abXG1OT2JA0sSGENgcryevCHq9JPws4SCZwyfVwIGctjLJmWy95CvvmS9jRF+voy0pSk8jVTP5odFxMd6kXrhQCgzEDg7Ho78NSCKR1ifk2E6EyAfq804LDhcUB6gVHizY06U9Y6nXTJQfTlutPvlrURGGmfD/PZUSr49Zbb8UPf/hD3HPPPXjRi15U99h3v/tdXH755bj99tvxxje+sUsjJCIiIiIiIqJaqxm87/mGe6Ym2vZgBYA40156Tm1/2iWPle/jxJTeFq/JHK30F27lWNFhj9d1KGiGsdHjO/yxotMyjG55qm3Qs51KeelWx8Wiy31oJbTrz57UJRLsOxyY46m2VROmik7d5KZe5CmFqeLSli21eC4jWj3/+q//ij/7sz9bEqAGgIsuugjvec978M///M9dGBkRERERERERNXLyySdjaGio5W25ej7dRQqB/piOmQY9oCt0ga70YaXWRLVncculQhjJUkopzNsuZi0XtqegCSBj6sisYFlbpfyA1mzJqb5GX/k1Ou1rGxZDkzAE4KhgfYUVgJztoY/ZievKWMLAXJPsyoqEJiAblNfuJe3eAwDMWW5HVTRs1X7m2bzTfhzUXkLXsCUdw8H50pK+5Klyn22W8AluPsD+YXsKJU/19MTBguPVbQ+1I1U1f/JcRrQ6HnzwQXzsYx9r+vjLXvYy/O3f/m2IIyIiIiIiIiKiVj74wQ+iv79/VZ6754PUgB8AKdguSg1qeguAF5ojqlvrzFMKB3MWCu7CZWpH+aVKZywHW1KxjnuLK6VwMG/V9XR2FFAq2pgp2diSjsHo8YBdRcrQ2mbP1epGSWfqLg/ty/fHerxheaUfdJDlVpPfp3pVX2Jd6TM0nDSQQNZyUXI9SAH0GTriXSqpHmVBM4t7PQO58lVSwJ9MV2k9r9RCwFqB5zJaIIV/i5rljvnmm2/Gxz/+cUxMTOCcc87Bpz71KTzrWc9quvzMzAz+5//8n7jjjjtw7NgxbN++HZ/85Cfx8pe/vOHyx44dw/j4eNPnGx8fx/T09PIGT0RERERERD0jSGXWXhO18Ybl937v9zA2NrYqzx2Jq7SaENieiWM0bkAvbyMCQL+pYWcmjqTOTJfeJHqy7OdU0akLUNeyPYVD+VLnr1Fy6gLUtRwFHMpZPfnZNBLXtYZ9c6UAtPKF29pHzYgE32nlzFkONCkanlAE/BNNzlU9vc0LIWDUXNFvun2HUB66h5NQI8n2FCzPK/+pUPK8ng+k9qKg236vnwMWt5GpnN6EqPkZvf8+iFbDF7/4RVx33XX4wAc+gPvvvx/nnHMOLr30Uhw5cqTh8pZl4ZJLLsFTTz2Fr3zlK3j00Ufxmc98Bps3b276Gq7rQtebz5PWNA2O07okPxERERERERGFY7UD95HIpAb8QPVIwsBIwqgGOjirobfpAnDalPMOO7vSUwqzVusLX0VXoeR6gfvsNnyNFuXpAaDkKRRdhYTe+9twxtBwpGBX9zc/o0gslP9WClL6v0sherrMK62OSgtlWQ5UNzpGq/Ktl7eOAVPHZNGuZp9Vtu/K23CVPzmqE4bwS363wizflXOsaGN6USWIoutguuRgU9IMZdLBWpHSJTSxsL83ktZlx5VIVpsmBFp9faw8pglOZKD158Ybb8Qf/MEf4E1vehMA4JZbbsGdd96Jz33uc3jPe96zZPnPfe5zOHbsGH7yk5/AMAwAwI4dO1q+hlIKv//7v49YLNbw8VKp88miRERERERERLQyVjvxLDJB6loMTkdDg+rsDYR7EbjkBivgWXCWH6S2PLWk/2nD13BdJCIQjBLljFJX1WeVVvbD2v0xrkWvhAd1rhKUqqz52t7TlTLaAr0doAaAmCagLQqwVbZnpRQMKToOwLU7LgoAbrCDJ7Uxb7tLAtQVrgIO5S1sY7uQwIQQ2Jg0sT9nNXxcE8BY0gh5VMev2KSSytLlFNiSmgB/Yp6M4HHieMdsWRbuu+8+vPe97114Dilx8cUX49577234d77+9a9j165deOtb34p///d/x+joKF7/+tfj3e9+NzSt8Q505ZVXth3LG9/4xuMaOxEREREREfUeCQHZ81eE60VtvGHwvGDX0pYrkkFqigZNAu22X9njGVfkB3qEEJBQ5R6ejdeZEAIFV8HxVM9n0tHKyhgaZsrVAxptHwJAIgITGFr1XhdCQAGYs130m8s/dQoByHLUfnEsWpYbewfvAE+tTLepaOEoIOd4SBuMRAaVMjRsS8cwWbSrLS0E/N7fIwmjrmQ+EfWGbDZb93ssFmuYxTw5OQnXdZf0ix4fH8cjjzzS8Ll3796N7373u3jDG96Ab33rW3jiiSfwx3/8x7BtGx/4wAca/p3Pf/7zy3wnRERERERERLTWMEhNqyahSbjKv4jdMBgDhN5PPKb5c2Ha5Sl2kuFslkset5tfkmiSYdJrCuVARNCMnILroU9G473RysjZfli1YYC6XBq+tLoTrjqmlGraq75WwfHQb3bwQkIslBNfdCTyA+GK8/VWgKf8/tPtFBikPm4JXWJrOgbXU3CVPykpSlmm8YBVUqJQ6YQoiK1bt9b9/oEPfAB//ud/viLP7XkexsbG8OlPfxqapuH888/HgQMH8PGPf7xpkJqIiIiIiIiIqIJBalo1gzED847fV65ZclWn/V2PlxQC/aaOmRZ9qeOaWHap78prDMR0HGuRxReT0endfNyFh1mpeN2ZtVvn/laykB3XhR6RyRmrpXaSTLOgvhahgF+vCnoY4uFq+TQpoEVwSoUuBfoMDXMtjlspXcKQDFLT2rBv3z5kMpnq7816QY+MjEDTNBw+fLju/sOHD2PDhg0N/87GjRthGEZdae/TTjsNExMTsCwLptnJrC4iIiIiIiIiWut4BY5WTVyXGI0370+5MWl25SLwcFxHokkQ2pACG5ONL94dj6GYjlSTLCxdABtTZs+XPq4ImnVWEYtI8J1Wjqeal4Gv5fRwRFAIEWjb7WQCC4Cmx566ZZjB2TEJQA+wTUZlshCtrLGE0XTdm1JgPMHAGi0Q8CJ7A4BMJlN3axakNk0T559/Pu65557qfZ7n4Z577sGuXbsa/p3nPOc5eOKJJ+r6Uz322GPYuHEjA9RERERERETrnBTRvFG4InclvOh4yJYc5Gx31Rt2t+N4CkXHQ8n1oFQPR1+6aCCmY1s6hoyhwZAChhQYMDVsT8e6VmJVCoHNKRMbkiYSmoReDk6Nxg1sS8dWpJ+yEAIbkyY2Jk2YUkADYAiBIVNiW1+8ZXBeKYWS66HoenB7YLvqM4PnyiU0AbPDIB4FY7sujhVtTBVtWG53uxgH3WX0Lp7k7fLx2mpxvB5o02tawO+/3Yn+WPu/n2kyDqUULNdD0fFgByhlvZ4JITDQ5rOWwJLzkKsUii7P62udFAJbUjGMJwzEy98D4prAWMLA1nQMGv9FQuvUddddh8985jO47bbb8Otf/xpXX301crkc3vSmNwEA3vjGN+K9731vdfmrr74ax44dw9vf/nY89thjuPPOO/HRj34Ub33rW7v1FoiIiIiIiIhoFdx222248847q7+/613vwsDAAJ797GfjN7/5zbKfNzLlvguOi8mis6TPb1qXGG6RrbsabE9humSj4C5cwNaEH+Bgb8ulYprEeLK3simE8Mt99q3i+spaLmZsFxACWjlja94F3KKNsQZZWkopZG0XWcut285TusRgTO9aCWBNCKR0gXlHtey1LQUavi9aWa7r4lDRQc3hB/OOBwEHGxI6zC6U0x6K6ThabF7eHvADvN0o9V1yPUyXHJRqgrqGFBg09SUZyyldIikFisrvC13JDldKwVPAiCk7Dl4ldQ0Zw0XWbrwnjcb8CT2L5R0XMyUXdk3gNCYFBmN6x9nda1XG0FB0PMw7Sz9rAWBD0qz2UnaVwrGSg3zNshJAxtSQMbTIVL6g4IQQyJh600khROvRa1/7Whw9ehQ33HADJiYmcO655+Kuu+7C+Pg4AGDv3r2QNRMtt27dim9/+9u49tprcfbZZ2Pz5s14+9vfjne/+93degtEREREREREtAo++tGP4u///u8BAPfeey9uvvlmfOITn8A3v/lNXHvttbjjjjuW9bxCRSBVqOC4ONIiAJJsU1Z6JTmewqGChWZJbAOmhn5e8Fz3ZkuOH6BuIiYFNiwK3E8V7YbBFMAvW7sxaVQDKmE6VrQx5/hZhUIIKKWggLp9QAo/6DMaN5DiRI1V47ou9hdaB4M3J/SuBIOfzBZbPj4a05GJhXtsLLkeJgp208dH4zqS+sJnVXAcHC5/vouDkpXtf3u6s3YAjufhQN6GVw58Vwj4+5EuBTYljLogQK48SasRAWA8YTBQ3YRSCjnHw6zlwHIVhPCzp/tNrVrRwlMKh/I2nCZfh7oxGY6Iui+bzaK/vx+/OjCBvpqezlExl83izM0bMDs7W9eTuld8/etfb3i/EALxeBwnnngidu7cGfKoiIiIiIiIqFOVf0+/7F+vgNFjyYvt2HkL//G6L/Tsv6W7KZlM4pFHHsG2bdvw7ne/G4cOHcLtt9+Ohx56CC984Qtx9OjRZT1vJKKpzS7OV+QdD47nQQ+hv/GM5TQNUPuPu0jrGktFrnOtAtQAUPIUbNeFUQ4mltzG2X4VTjnLul054pXmeR7myuOqBO2EENWA2mJTJQdJXTLrcJUcs9qX9T5acrExGW6Q2vY8CADNDo0CQDcKkh8rtT53TJUcJLSF7fVo0W267VbunyraHQUsp8pjkkI03IdcBeQcD32mfz5TSuFYi3OgAjBdcpZMeiGfEAJpQ2tZ5SRru00D1IBfqaDP9djKgGidEsKDEN1tMbQcvT7myy+/vDr5sVblPiEEnvvc5+JrX/saBgcHuzRKIiIiIiIiWi4hROTiBFEbb5jS6TSmpqawbds2fOc738F1110HAIjH4ygUCst+3p6/4mq7XtPywrVmAgRvOuWVM7LayTnd7Q9L3ZVvE6CumCotLBdkm5kP+LwrafY4X1MBKLq9fVE0yvJu+8IXVhd6Fc/bHjQpoEtR179cwM8M1qTAvO2G2uPX8ry2n4Wn6rfXIKNrNZkkiGKAdZit2e8KAc6BJU/B9rjfLVeQY2un652IiOrdfffdeOYzn4m7774bs7OzmJ2dxd13340LLrgA3/zmN/HDH/4QU1NTuP7667s9VCIiIiIiIqJ175JLLsFb3vIWvOUtb8Fjjz2Gl7/85QCAhx56CDt27Fj28/Z8JnUpYMDFCSEwE/QlWmVk0dpXDBgscmu2EzvAxuWqhZLDYQkyrkZ/J7EKY6HeVXvMa1ZFwoMfBA5r63WDnjvKizlO66zrMNXGsYOe2xwPMHp+2lnvUUohwLyBUL5jEBGtJ29/+9vx6U9/Gs9+9rOr9734xS9GPB7HH/7hH+Khhx7CJz/5SVx11VVdHCURERERERERAcDNN9+M973vfdi3bx+++tWvYnh4GABw33334XWve92yn7fng9RGwLLZYfTqDVrBuxt9g6l3mIHWv4IQCxElTbQqluyTCL/cRJBxLaZz+193tICrPMwtI+hxuHJc93tA90YVjNpYc9D3EXQdUL1K+4J2Rzl+vkREK+vJJ59s2N8rk8lg9+7dAICTTjoJk5OTYQ+NiIiIiIiIiBYZGBjATTfdtOT+D37wgx09b88HqWOaDHQBeaBFv8mVIoVAQhMotEm7SulMZ1vPUoaGKauSldk8sjEYW9hmU7rWtpR8KoRtfLF+U6spcxssDzbB7X/VxKRoW12iG8G0lK5hzvZzpUU1Z9qn/OkVSOlaqJMsTCmgCbTMkhUAEuU+w36Qur140NlKLcbVrgx5qiYlOqlLHCu1PgfqQgSe0EVLpQ1Z3n6bS+nhH3+JqDdIuJA9MonpePT6mM8//3y8853vxO23347R0VEAwNGjR/Gud70Lz3zmMwEAjz/+OLZu3drNYRIREREREdEySSEil9AZtfGG6Yc//GHLx5///Ocv63l7PkgNAAOmhulqz2mFhcv1AoCAIQAzpMBYv6mjULCbPp7SJYyAwQ5auwQUVHV6xeIDm7/9GjWZ1HFNtAxASgCZLgSpdSkRk5Wy+155JM0P1BlDhp7tvZ6MxjTsL7QuSz0aD/+wbkqBmFSwPP84XdkElAKk8KCUQMYwQh2TEAKDMR2Txeaf14Cp1X3xGDA1zFitL+oPm50d34diOiZanEMEgP6afV0Kgf424xqMhTsBIGqUUrA8D7bnQQqBuFa/3jOGjnnbajoRICYFYkylJiJaUZ/97Gfxyle+Elu2bKkGovft24cTTjgB//7v/w4AmJ+fx/ve975uDpOIiIiIiIiIALzwhS9ccl/tNWnXXd5k+UgEqTOmjrztwFIuaq/DV9qgjppmaGOJaRLjCQOTRXtJhl5alxiKReIjpVW00Me5NkC9OPyhUHBc9Jn+9iKEwFjCwFTRQd6tz+gzhMBIXIfepUzJsbiBg/liOT/WQ2VyCOqC8P7kkYTG7X81aZqG8ThwuEngddjUEdPCn8ygADiLjs/AQrBaCAVbKYR3pPaldA0qBkyXHNTuVQJ+lYC+RRM/+k0drqcw16SqwXhcg653to3HNImxuI4jDdahBLAxaSzJ6q5MUJm13LojiYQf9E4yy7cpy3VxrFSCreqPwWldx4BpQggBXQpsSBg4WnTq+qsDQFKTGI7rnARARLTCTjnlFDz88MP4zne+g8cee6x63yWXXFI9D15++eVdHCERERERERERVUxPT9f9bts2fv7zn+P9738//uIv/mLZzxuJiNKsZcFuULKucs34iGVhc4hZenFNYnPSRNFVsD0PQggkNQmN5VYJ9Xn+qi7zf+F+APAW3S+FwGjCgO0pFF0PSimYmkRMiq4GSIQQ5bEKiPL78UdeCaT5WdYCQM5xEWfAbFXFdQ3b0xqyloP5conihC4xYHYvmzbvOG1bMszZNlIdBniXI21oSOkSeceDoxQ0ASR1rWnplqG4gYzjYMpyy2W5BfoNDZkVnICU0DVsTQrkHA8F1z+HpHWtaal8IQT6TR19hoa848FTCroUSGidVS5Qyt+X12oZG9vzcKRYLG+btVuowLzjwFMKw/E4AMDUJDYlDZQ8Bau8ThKa7NrkICLqHUJ4EKJ1S4BeFIUxSynx0pe+FC996Uu7PRQiIiIiIiJaYSz3vbb09/cvue+SSy6BaZq47rrrcN999y3reSMRpM7afmnUZtuHBz9IkgwxACKEQEIXSIClvalebVCj1SGtWVl4QwoYsncCvba3cJGzmhkLAKi/+KkUYHkOEHq+7PqUMXVkeuSjLnntL4Tbnh9cDftE73oe5mwLeWehnLPtGegzYtAb7INKKRSVCwULUvh/o+RpKLpAfAUrBUgp0WdK9B3P3xEC6RUo+19wbMzbVrU8uy4k0oaJpG6sqYzhrGVVJwqJmgYMgN8rPe+6yHhe9VgshEBcE4hrPK+vN0qpNbXtE0XFPffcg3vuuQdHjhyBt+i7xOc+97kujYqIiIiIiIiIghofH8ejjz667L/f80Hqgt28d2etWcsKNUhN1IxWzsAruM0Dd1IAicgFQhSUaj5ZRAgsKZVL1E2O5+FoMQdv0XaZd2wUHBujiVTdhBClFI6VCii69aW4Lc/FVDGPATOOlNEjMwOWac4qIWuX6u5zlIcZq4iS62AwllgTwTqlFPKuA7FoMs1CkwIPCgI5x8FAiC1DqHe4ysO8bSFX7kcuAKR0E2nDhNZkEhkRrZwPfvCD+NCHPoRnPOMZ2Lhx45o49xARERERERGtVQ8++GDd70opHDp0CH/1V3+Fc889d9nP2/NR3aBBr8VBCKJuGoyZsArFJX3LK0ZiZmQuxhlSQoiFHvDtMCNt/TGlQL6uB/tiqivlXWZKhabnBgXgWKmA8US6el/esZcEqOuezyoipukNM7CjwPbcJQHqWgXXQdx1kNTDa5+xWvzQtL/uF291C4FqBTdAFQBaexpNYFEA5h0L+fIElqju50RRccstt+DWW2/FFVdc0e2hEBEREREREVEb5557LoQQUIuut1944YUdVUPr+SB1s5LIi7FWPPUSXQpsSMQxa9nIOW61xGxCk8iYBmIRyqIWQiBjGJi1rHKwp/m+JsvL0/qiqoG+ZoFqAaG8UCcwOJ6HUrmcdatlLNeFqfnZ1PO21fZ5846FjBlfkTGGLRfg/eVsa00EqYXyS3w3fRz+1uopBqnXo+kWE1g8KEyXChhNpEIeFfUqAW9JVYYo6PUxW5aFZz/72d0eBhEREREREa0S9qReW/bs2VP3u5QSo6OjiMc7u1be80HquK4DpUrmlwtZc8HFvwQtAUiW66SeIwWQNAQUXDjKg4RAUjdhyOgd6DKGgbxtw88xrfR39bCQjyihgJ7qpU3hcZRXLp8sUR+orvzswSt3Bw5r67fbBKhrlzM1DUopOAEClnaEM2+ttmNXsD0Hk8V5eMqDJiSSuom4Fr1e1UrUbmsKqAtYi+qfETwcU4ccz6v2Y2/G8lzYnstzGtEqestb3oJ/+Zd/wfvf//5uD4WIiIiIiIiI2ti+ffuS+2ZmZtZ+kBoABgwDs3YBUiz0xFUK5UCZCwGFBPtRUw9RSmHayqPoLvRUdwHM2gXMOyWMxNKR6nkphIApAcfzJ4pU90Hhv1cpXCgFtGjDTWuYEKKcteoAkFAQqOSqSrjwA4QytAB1ZUwruVx1+eUMpke0PuKUA7kCsDx/OoqjPJQsB4bUMBxLR2omoajmSqtFxyugtgy4FqH3RCsj+AQWj0FqolVULBbx6U9/Gv/5n/+Js88+G4ZRX8Xjxhtv7NLIiIiIiIiIiGixv/7rv8aOHTvw2te+FgDwu7/7u/jKV76CjRs34lvf+hbOOeecZT1vJCK7HhxIUb6oXL6eXH9d2YPjeewfSD1j3inVBahrucrDMSuH0XhfyKPqjK28ukoGjfZFhWAX/2ltiUkN+UpoWjSeqaALGWo2bkxq1TBly+XKpb6FEEhoOgotelIDQDzCpbDjuoGS1Wwfbf5J2Z6LWSuPwVh0yh/75YQW3tXi41UlWB1jEJKa4PQFotX14IMP4txzzwUA/OpXv6p7LGrVO4iIiIiIiIjWultuuQX//M//DAC4++67cffdd+Ouu+7Cl770Jbzzne/Ed77znWU9bySC1HmnfR/NObsQqQvoYag0MOeFnnAppTBvl1ouY3suLNeBqUViF4RSqtq7tdnmJMoRQdfzIpUlTp1T5WzVpo8rQDUJXq8WIQTSRgxzLfbFlG5AEwvbatqILQpSV0OcAPys20RE9tlGkrqBOasEb0lAun4SWCMF10amXAI8KhQWqq9U7vGJ6n0lz0YCbBeynsQC7sNBl6O1TwjVdAJWLxOi3TSt7vre977X7SEQERERERHRKhLl/6IkauMN08TEBLZu3QoA+OY3v4nf/d3fxUte8hLs2LEDF1xwwbKft+evNnve0svpjVTKkxJguQ6mS3OYKExjojCNI4UZ5OxiNWhNq8tRbrn7bmulCG2zqvxf2/kOIlrvi1ZGu+OvEH4FgbCPQX2GiVSTzOeEpqPfrO+XYWoaBs04AA8CDqRwyy0l/GoeI/FUpCf9SCEwkkg2LNsd5G1ZbbLMe4njVSbVVPpRe+WS9P7PKAewSwFLP9PaIYVA2mg9MSGlG5Eqb09ERERERERERLSaBgcHsW/fPgDAXXfdhYsvvhiAn+Dousu/xso0kTWm4FiYsebr7nOVh6ydR8m1MRhLRzrIEgVrcSpAzi52ewhEx00IgYFYAinDRN6x4XoepJBI6gZMbWmZZ6UUSl4JUiwtaw+4sDwbuoyFM/hVYkgNGxJpFFwHJdeBAiCgUHDbVyyJFlVzW7BQAj7ApBtaszJGDK7noeDaqN9GBOKasWQCCxGtjFe96lW49dZbkclk8KpXvarlsnfccUdIoyIiIiIiIiKidl71qlfh9a9/PU466SRMTU3hZS97GQDg5z//OU488cRlP2/PB6llwLLBhuj5t7LqPOUtCVDXKnk2ck4RaSMR4qjWH0ME64Vrymhss7bnYM4pQghRLp3bOrJjssfrumNqejnY01zYPalrGVJDv9l+uyy4VtNe8gAwa+UQk0bky9kLIZDUDSTLWeaO5wYKUkflmAUAsqY0z+KtrjZQbQoer9YjIQRShg5XFeFiYVKKhERKj3MyH9WRcCERvaoLvTjm/v7+6v6VyWS4rxEREREREa1hUojIVaqL2njD9IlPfAI7duzAvn378LGPfQzpdBoAcOjQIfzxH//xsp83Eleck5qJfJsL6BmTgddCgN7dOafEC7CrTAiBlB7DvNO8F64uZGSCuTm7WA7qKIg2/WhjUocekfdFKyehmZhFASjn5TaS1Hu/72+QigF5p4g+M9nxa3nKQ8EtwfYcCAAxzURMml05NutSQ0zqLUv1x7VoBeeFEBAtGi9UAtVGhN4TrZySa2Hayi6534OHGXsOAwKIa9GumkDUiz7/+c9Xf7711lu7NxAiIiIiIiIiOi6GYeD6669fcv+1117b0fNGIkidMeKwXAdOTbbL4sd1XmiGHaAXsKe8FmEkWil9Rhy25zYM+kgIDMWi09vWruvZWtl6arciPwykCYmBWOfBO4oeT/l9mxU0LN02BAAPrurtfsZKKTiqfdaZHWCZdoquhZlFAbKCW4ImJAbN/q5M9BiIJTFVnIejlp5ndSExELGJYJXwdKujrAACrXNaW5RSyNq5lstkrRxi8e5MGiFaLy666CLccccdGBgYqLs/m83i8ssvx3e/+93uDIyIiIiIiIiIGnr88cfxve99D0eOHIHn1V9HvuGGG5b1nJEIUkspMRJPI+damLeL1cwoQ2jIGHHEyiVL17ugF1N5yXX1CeEHoguujbxTguN5kEIgoZtI6SZkm4zkXiLKMelKNnV9oLq8DARG4xmWw1inCm6pvJ24UKjdthUEPAAKRbeEjOrdyRnBj5+djd/2nCUB6gpXeThWmsVofDD0z0kTEiPxPhQcC3mnBFcpaEIiaZhIatEL1gVdT1F7X9Q5Rzlw20xO8ODB8mzEtN6vAEEUVd///vdhWUurQBWLRfzoRz/qwoiIiIiIiIiIqJnPfOYzuPrqqzEyMoINGzbUXVcVQqztIDXgB6pTwoQuPLjKhYBEXItD61JpYaUUim4RrnIgIBHTYtC73K8zJg3k0bzENOD3FA37orzruph35mB5fq/XmDSR0tPQtLVdFtrv+2pGosxxK3HNhO0VAAACHgTcuvCPAmCKOAPUIVJKwfZsWJ5/cdeQBswulYoG/OAq4E9oEE0qXqjyFIde3kpi0kDJa91bO6Z1NikqZxdaPu7BQ9EtIaHHO3qd5ZBCIKZJ2J4HTbmQQkNMapEM5AohYEodlucA5ck1otqJWqKyJdauT6UULM+CXd4GTGnCkEYk3/9qcz0XRbcIBQ+a0BDT4pGZfOU2qBbQyXK09gnhQYjobQ+9OuYHH3yw+vPDDz+MiYmJ6u+u6+Kuu+7C5s2buzE0IiIiIiIiWkESEexJ3dNXr7vrIx/5CP7iL/4C7373u1f0eSMTpC44BczZ9dlnOWcecS2OPiMT6kXkkltE1srWdbvMOfOIyRgyZn/XLmjHNAOakC0vrKaNcEu25u0c5p35uvuKXhFFq4g+I4OEHq0SsutRQo9h3i4AcKpBHiEAVd78pQAcFHGs6GDAHIRk6f1V5XouZqyZJeWzpdAwYA50ZbJM0JN3r5/i00YCpZKNZr21JQQSHWZWlrzWE4kAvxx42EFqz/Mwa89UA7QAAOXgWKkEQxroNwYit2+njTiOlbKQcBcdszwoJSCEgZj0g9S2Z2O2NAOvZpJFHjnoQkd/bACaWNuTqoJSSmHOnkPRrZ9sMWfPoc/oQ0Lv/ZYPEsG246gE3Ymi5txzz4UQAkIIXHTRRUseTyQS+NSnPtWFkRERERERERFRM9PT0/id3/mdFX/eSFyBK7rFJQHq+sfmQhuL5VqYtWbrAtQVJa+EWWs2tLEsJoTAcKwPWpMLq/1msuMswONRcktLAtS15uwsbLd11iJ1nwAghQ0plJ8pW47d1f4M+CVUZ+2Zbgxx3fCUh+nSsYb9nT3lYrp0DF4Xsv8Seqz9Mlqs5zNSpQAEKp+tqrn5v2srkJW29MzRaJkgS62srD1bH6CuYXs2snb3zm3LpQkJTSyUda4/fi2sT1e5mClN1wWoKxzlYKY0DaXCXye9aL5BgLrCD14XQx7R8TOk3jZQLSCqExiIaGXt2bMHTz75JJRS+NnPfoY9e/ZUbwcOHEA2m8VVV13V7WESERERERERUY3f+Z3fwXe+850Vf96ez6RWSiFnNw90AkDRLSClUqFkOuWcXMvHLa8E27NhdOnipiY1jMb7UXRtFF0LgIIuNCT1OLSQs+CaTSxYvMyQNhzCaGi5CnYegJ+F2C7GaHs2XM/tWhn+ta7oFhsG0ioUFApOHikjHeKo/HLjMWmi5C3tLQn4AZ9UBDIs804OUigo5UBBQlU7G7sQUPAAWJ6FmNY+KN+MLjQ4bfrhGiFnw3ueVy0d34zlWfA8L1LZ1DnbP183O265yimX97ZaTgxwlV/aer1X/nCVi0KTAHVFzvaryvTyhBQhBPqMFGZbTHDsM1JdfQ9KKTjKhgKgC51Z3bSmbN++HYB/7iEiIiIiIiKiaDjxxBPx/ve/Hz/96U9x1llnwTDqY6B/8id/sqzn7fkgtatcuG0u6AN+1m5ylYMgnvJgt7mQ74+l2LUgNeBfgE3oJhJd7oUcJKPTaZARSr2lkhkX9Hp93s2jT/at4ojWr6LTPkux6BZDD1IDwIDZh6w9j4JbrPalVhDQhI4BMwM9AhMXarf1Zr21S26xoyB1Uk8g22biVUILt9R33s0HXi4tw9+2lkMphZLXfn8puUVYbrDz+noPUltu+1L1le9suujtr5d+9QeFrJ2rm6Ag4Aewk13oCQ/4223BzSHv5MrTYnwxGUfayECy7HxXCHhNzwm9rBfH/PWvfx0ve9nLYBgGvv71r7dc9hWveEVIoyIiIiIiIqLVIET0elL3cuJFt336059GOp3GD37wA/zgBz+oe0wIsXaD1CrgBZYwSnEGfQ2WBaW1xDvO0sOqC+Wm14sgx0Ovi8cfAQeaWNQrGwrowQvliwU9bnf6+Sa0GEqu1TTrvM9IhR7QD7rPrsV921MqUHn1bpTR7zVBt/2obCcJPY64FkPJs+ApD1JIxKTZ1X+M5Jw5FNylFXtKXhG2ZWPQHGFWNUXa5ZdfjomJCYyNjeHyyy9vupwQAq7bfpIyEREREREREYVjz549q/K8PX+lSwuYjRNGeeGgFwa1kEu1Eq0mHce3b/V6Bl2UBflsu5GxrJTCrD3dMHPVg4cZawpOk37HvcKf2df+GN/p5yuEwIDZhz4jBa3m9QxpYNDMINWFbF09YOWPoMv1goVAY6vAqoKACtQqROd5PfC2LyNQNaFCCIG4FkNSTyCudbdMuePZDQPUFZ5yUWjTcoao13meh7GxserPzW4MUBMRERERERH1Jsuy8Oijj8JxVqZKcs8HqaWQMGXr0qoCArE2y6wEIQQSWvsAQjzkUq29ypDty43HJD+rXpcya8v7KjQP+vj3xwPsI7Q8QcoNJ7Twez87yobttS4FnHdal7juBUE+u5XYvoUQSOkJjMQGMRYfxnh8GMOxfsS07rRoCHr+jNK5zc98DpDRK4BEgFYh673UNwCYMlbt0t58GTNQ0J+WKrbp9w2gZRCbKAqGhoYwOTkJALjqqqswN9e8NzwRERERERER9Y58Po83v/nNSCaTOOOMM7B3714AwDXXXIO/+qu/Wvbz9nyQGgD6jL7yZVEPAk715l+AVsiYmdCyX1JGumVPwD6jj6UYyzJ6pu0yaT0a/U3XM0MaMEQlg7KS2bI4UO3/LsG+DavJkGbLQKEpzY76JS9XkOBKySv2fCuEpJ5sma2e1FMrmlFb6cvS7X1GSok+o/Xxus8I7zy78hofrwAFKQTiWrzlpKq4lgg06WqtE0IgY/Y3fxwCfUZfiCNaW1zVPnNUQfX8cXQtEsKL7K3XWJaFbDYLALjttttQLC6twEJERERERERrgxDRvFFj733ve/HAAw/g+9//PuLxhRjFxRdfjC9+8YvLft5I1K/0s6k12MqBUv6GohQghQcBGWp5YSkkhmJDmLfn6wIzutCRMlKIRSjTbLVpmoZhcwTT9rEl/Tw1oWHAGISmMeOq1wkhMBAbxKw1DUc58JQLQIMf6BFYCPi4gAAcZcEQ4QdK1wMhBPqMDHSpI2/n4ZUzRQUEknoSST3VlUBi4J7GUG0zMbupsq3nnRwKTqHaq1gTGpJ6KlKZxMerkik8b8/V9WiuBB7jEcskFhDQhFYO/FWOU7XbngchAF2Y5RLsA8g5ORScfPX9S0gkjVSgCirrhS51aELBVQoL8xz9ChuGNFpO4qPWOMGR1oNdu3bh8ssvx/nnnw+lFP7kT/4EiUTjY+znPve5kEdHRERERERERM187Wtfwxe/+EVceOGFdTGIM844A08++eSynzcSQeqCOwdb+aVkK++98qeCh6w9hQFzLLTgjBQSGTODtErDU55/MTxCPRjDpGkaRrRRuK6LUrkccEzGGJyOGCEEEnoCc3YBUgCAC68mmUvW7HqucmCAQerVIoRAUk8hoSWrmXea0Lqa5RosMCV6OkBdIYVE2uhDSk/DVS4E/PcXxSxipTyUvHy5FLuCLmKIaammwbCEnkBCT8DxHDieA13qke3FLISAIQ14nt8bxU8+rQm+Cz9oXSl1LoRA2kgjpad6Zr/qRXPWFBRcSFE/OUUIwFEl5J05pNpk5VNjMS2OoptvuUxcS3KbpEj7p3/6J3ziE5/Ak08+CSEEZmdnmU1NREREREREFAFHjx7F2NjYkvtzuVxH16t6/uqzUgoFp3UPPlc5XcnelEIy8yUgTdOQ7EKvXFo5iwOMsslxR0Sji0DkCSFCrSLRimyYqVrLz6COUnCllz7f5XA8C1n7KFRNX2YLBeTdWfTpwzBbZAdHOThdoZSCU9MnvRKULj9a/tODrUqIIVmzXLTX+2qyPQuOsqu/N9qdi+48knpfpPb1XmEIE4Y0YXtWw8cFBJJaKuRRkc+FQPty7L2n98Y8Pj5e7VO1c+dOfOELX8Dw8HCXR0VERERERESrQZZbHUZJ1MYbpmc84xm48847cc011wBYaPv6j//4j9i1a9eyn7fnr8S6yqm7yN6M7ZVgSGZvEq0WQ8YgINvsjwIm98N1x60JXC0NVqvy/10opRi8CoGnvCUB6gUKc84kBsQGaNJo8PjaoKDgVQM0i1sT+PcJAJZbQowTqAKxa4L+zSgoOMqGIdjD+3gJIdBvDGLOnkXJq88slUJDxhiEFvHJI0S19uzZU/25WCzW9bMiIiIiIiIiot7y0Y9+FC972cvw8MMPw3Ec/M3f/A0efvhh/OQnP8EPfvCDZT8vUx6JKBC/zHRfy2X8DDoeVtYbvzyyV77VUtU/GZoOT8nNtZ3cVXDnQhpNd4nqTS26AagLZBN1nxASGXMQQ+Yo0noGKb0P/cYQhsxRGGt4UgmtT57n4cMf/jA2b96MdDqN3bt3AwDe//7347Of/WyXR0dEREREREREtZ773OfiF7/4BRzHwVlnnYXvfOc7GBsbw7333ovzzz9/2c/b8ykZmtAhIMoX3BVE+U8AUJDw4+yCWdQ9zPFKKLpZOF4R/rpKIK71QZNrO9NKKQXLy6HkzsFVDqSQMGUaMS0dsIdv74lrKSjlIV8NcC1kzSa0NBJaumtjo25SNYWUFep6/5bvjRLbK6DozMFVJQACppZETOuDJqIRJLK8wrKW8XtY+8csT7mQQkNM60NMpqI3+URVtkN/26v97gDI8vcHUWlWTQEsfM/yJ6SImv3aPwJICGjQI7Kf9DJN6kgwa5rWuI985CO47bbb8LGPfQx/8Ad/UL3/zDPPxCc/+Um8+c1v7uLoiIiIiIiIiGixpz3tafjMZz6zos/Z81edhRD+BXK4kMIFoKp9EAU8CDiQENBZWrInFZ1ZZO1DsLwcPLjw4KDkzWHWPgjLbd1rPMqUUpi3DyPnTMJRJSi4cJWNgjuNWevgovLI0aHgwVbzELDL/Rk9CLgQsGGr+UCl+WntkdUApqrJXK0t+l0ptdz7AcG8M405+zBsla8es4puFrPWQdgBgr+9IcjnXL+Mp1xk7UPIO1NwlVU+ZlnIO1PI2ofgqYhlHAvAPz55dd8dRPV+B4BXs+1SO7owIIUsH/PLwf/yTi6FgoALUyRY0p/WHCm8yN562e23345Pf/rTeMMb3gBNW5i8ec455+CRRx7p4siIiIiIiIhoJVR6UkftRvUOHjyI66+/Htlsdsljs7OzeOc734nDhw8v+/kjcXXWVTlg0QXRhYvNAIQFxWyonmN7ReTd6aaPzztHIxusbafgzsBWxYaPKbiYt49EcputBLD8/c+/ACqEByEAT9nI2VPdHiJ1gSFN1Jb2XrBwn4Ts+Wxcy82h6M42eVRhzj4SiWBtkElb2qJlcs5U0+Oxq2zknGjt2wISAgJC1H93qP1ZwIXOEsqB+eeskj8BRdR/H6v86SEqEzmIqNsOHDiAE088ccn9nufBttfmvw+IiIiIiIiIoubGG29ENptFJpNZ8lh/fz/m5uZw4403Lvv5eztiAP9ChQsLzSYwVO4veeujv2aUFN2lMysWK7nzIYwkXEp5KLV5766y4ahSSCNaGZ5yYHn5lsvYKr9mJx5QczEtVT4WK1SyVP2bC8ABoJDQl57Eek37Y5aCFYFjVixA2f3a0vyecmC327e9PDzldDy2RjzloOTOouAcg+XOQamVyf6TQjWt5l0Jsgp2Sw/M8srbfouPzIUFz1ud7YSI1pbTTz8dP/rRj5bc/5WvfAVPf/rTuzAiIiIiIiIiIlrsrrvuwhvf+Mamj7/xjW/EN7/5zWU/f883vLNVsKwc2ysggf5VHg0dD78Hda1KtGDhCrdfPncwrCGFwlV2uS9va45XhCHjIYxoZThesKC645WgacxOXE+k0JCUAyh6RyFq2vxWfhZCQ7zH+5UrpQJNHLFVCb2+1+rSQFIbQN6dafh4TKZgyET19+PZt01t5b42KKVQcKdgeYsmB7iTSGojMLW+5T83PCh4TSe4VV9KlQAs/3XWkyC9zivLxSU/UyJq7YYbbsCVV16JAwcOwPM83HHHHXj00Udx++23d/SPWyIiIiIiIiJaOXv27MG2bduaPr5lyxY89dRTy37+ns+kpqhTfk9QONCEC024kOVeoD5msUUH1xU1ppSCpaYatmPw/7Rge72fgdyeWrEs39WW0PvQZ4xAF7HqfZowkNaHkNIHe6JvcMMANQBAIe8ehe3lOnj27r+/tYafKK1XotzfPoq3XvbKV74S3/jGN/Cf//mfSKVSuOGGG/DrX/8a3/jGN3DJJZd0e3hERERERETUIQG/imG0/qPFEolEyyD0U089hUQi0fTxdno+k9oQwd6cIZOrPBI6XrqIw1FzDUuuasKDpxCpTOKgNGFCQEK1uThYm8kYBbqMtV8Ia3OdUmuWN9d2ey+4Ux1lxq62haCtQutwXG9f9K9lygRMM1HuJYymgemg+3bQ5YLw2we0Lq9ecI5BN5LLCqhLISFhwEPr9gM6j1eBmVoKttM+m9qM2LmNiLrnec97Hu6+++5uD4OIiIiIiIiImrjgggvwhS98Ac9//vMbPn777bfjWc961rKfv+czqaWUkJBA0/LJ/v2mSIU2JgrGkCakqARHFu6v/CyFB0OaXRjZ6hJCIK617r+rCROaiNZ7l0KDKVvvZ4ZMQoqen/tCK6xdD3bAL7/cy71qlVLlrLNmAVH/WCYjOJ9OCNEy0CuFXn5Xzc+zEmJF9+12PbABwIPdNsjcii61Fo8qAAqGYJA6KL/XeevtXxMxSMlzABEFZ1kW9u/fj71799bdiIiIiIiIiKLmr/7qryCEwDve8Y7qfcViEW9961sxPDyMdDqNV7/61Th8+HDd39u7dy8uu+wyJJNJjI2N4Z3vfCccp/5a+ve//32cd955iMViOPHEE3Hrrbcuef2bb74ZO3bsQDwexwUXXICf/exndY8HGcti119/PT7/+c/j+uuvr1v28OHD+NM//VPceuutuP766wN+Qkv1fJBaKRcKVu09NX+WA6Bw4IlgPTUpPK5qH4Sw3bVQAnipuNbfNLtfQkfaGOuJcrvHK6UP15UPrqUJEyl9JOQRhUMpF56yoJTb7aH0qGDZxe2yrbtNCFFTHrU2YFs516g1GYBzvRIEar/0qEV/AoANTy0/YLyYQrB9abnl1ZVScL1Cg/W58N1BwoWt1uY5aLVkjA1NHxOQ6NPHQxwNUTiEUBDCi+Ct2cSj3vD444/jec97HhKJBLZv346dO3di586d2LFjB3bu3Nnt4REREREREVGHpBCRvC3Xf//3f+Mf/uEfcPbZZ9fdf+211+Ib3/gGvvzlL+MHP/gBDh48iFe96lXVx13XxWWXXQbLsvCTn/wEt912G2699VbccMMN1WX27NmDyy67DC960Yvwi1/8Au94xzvwlre8Bd/+9rery3zxi1/Eddddhw984AO4//77cc455+DSSy/FkSNHAo+lkRe96EW4+eabcdNNN2HTpk0YHBzE0NAQNm3ahJtvvhmf+tSncNFFFy37cxNKLS7E3Fscr4icsx+eAsohgppHy/2OBRDXhhHTBrs0Smoka+1pG4iQwkSf0bzpepQppWB7BZTcObiwIaHB1FKIyTSE6Pn5IU0ppWB5OZTceXhwIKEjpqVhylQkA++tuKqIojtZN+FCF32Ia8OQEcuEX01z9kG4qth2uYy+HbJldmt35Z1JWF4WSvlnlwqBhYoQaX3TmisRbblZFNwj1fetyh1jFn5TEAJI6htgyPTKvKY3j7xzpO1yGWPbsjK4PeVizt4DAFAK8CBRyQL2e7X678mQGST1seN+/vXM8xzk3WlYXh7+NiIRk32Ia/2QMrrnNqLFstks+vv7sW/yPmQyK3PsC1M2O4+tI+djdnYWmUzrCj/d8JznPAe6ruM973kPNm7cuOQ75DnnnNOlkREREREREVEnKv+efuO//xHM1Mq1DwyDlSvh9lfectz/lp6fn8d5552Hv/u7v8NHPvIRnHvuufjkJz+J2dlZjI6O4l/+5V/wmte8BgDwyCOP4LTTTsO9996LCy+8EP/xH/+B3/qt38LBgwcxPu4ngNxyyy1497vfjaNHj8I0Tbz73e/GnXfeiV/96lfV1/y93/s9zMzM4K677gLgl+V+5jOfiZtuugkA4Hketm7dimuuuQbvec97Ao2llQMHDuBLX/oSnnjiCSilcPLJJ+M1r3kNtmzZEvwDbqDnU8IqrcqlAPzsp2ZBz7UVHFsb2q+TtdyKXggBU0vC1NZWv3QhBGJaulz6de1yvDzy7gEsLoHsqDnMOzmk9G2RK9m+WuLaEHLOwZbLSJg9HaAGgLg2ANubB4RXDUzX0kUSWpNKAtFWDt6KSkC+2dy1lTteGyIFAdkyu14Xy28fUHtuEQLQmrzOWj4HrRYpdaTlaLeHQUQR94tf/AL33XcfTj311G4PhYiIiIiIiKhONlvf3jIWiyEWa35d+K1vfSsuu+wyXHzxxfjIRz5Svf++++6Dbdu4+OKLq/edeuqp2LZtWzUwfO+99+Kss86qBqgB4NJLL8XVV1+Nhx56CE9/+tNx77331j1HZZlKWXHLsnDffffhve99b/VxKSUuvvhi3HvvvYHH0srmzZtx7bXXtlxmOXo+5UUKEwLtAxt6m165FD4jwDpZqaw8opWklELBnUDzYJ2Hotu6V8N6Ysg4dJFouUwqAmWApdCR1jdBYunkA0OkkdKjWaa/Hb1Ja4J6ou06Ph5CCCRatAcQkEjowx08v4QWoN80vzsQEXXH6aefjsnJyW4Pg4iIiIiIiGiJrVu3or+/v3r7y7/8y6bL/tu//Rvuv//+hstMTEzANE0MDAzU3T8+Po6JiYnqMrUB6srjlcdaLZPNZlEoFDA5OQnXdRsuU/sc7cbSDb2fSS0EYtogim7zixi6SEETRoijoiBi2gAsL4vmgT4JQ/Ze+UEiVxWg6nr0Nl7GUzYkjz0AgLSxsVouu5aAjpQ+Dk1G43PSpIk+YzNcVYKrLACAIZef0RsFUmgwZT8sb7bpMjE5sOJtCkyZhtAliu40XFWq3q+LJBL6cMfn9Zg2iLxzqOnjEuaKBt6JaG0ScCHatK/pRb0+5r/+67/Gu971Lnz0ox/FWWedBcOoP+b3YolyIiIiIiIiCq7THs/dUBnvvn376v5d2iyLet++fXj729+Ou+++G/H42moRGZZIXHU3ZT+UclDyZpY8pokEkhHI0FuPpDCQ0jci5xzC4kC1gERK3wQperv8L61PXjk4GWQ5BqkXJPURxL0huCjAUx4MEYeMSHC6lhACuohDx/r5YhHXRuApF46aX/KYIfoQ04ZW5XUNmYQhk3CVDaU8SKGv2HnBkCnEtVEU3aNLHpMwkTI2rcnMeCKiKKiUF3vxi19cd79SCkIIuG5vB9mJiIiIiIho7cpkMoEmT9933304cuQIzjvvvOp9ruvihz/8IW666SZ8+9vfhmVZmJmZqctgPnz4MDZs2AAA2LBhA372s5/VPe/hw4erj1X+rNxXu0wmk0EikYCmadA0reEytc/RbizdEIkgtRACcX0EhsrAcrNQcCAgYcg+aCLOi8w9TJdJZIydsLwsXFX07xNJGDK94ll5RCsm8LbJbXgxKSUkWEI5aoQQSBkb4HhF2N4cPOVACh2mzECTq9+HWxPGSra8ropp/TBkCiV3Fh5KAARMmYEukvzuQAAApTwoeBCQ/F5CFKLvfe973R4CERERERERUUde/OIX45e//GXdfW9605tw6qmn4t3vfje2bt0KwzBwzz334NWvfjUA4NFHH8XevXuxa9cuAMCuXbvwF3/xFzhy5AjGxsYAAHfffTcymQxOP/306jLf+ta36l7n7rvvrj6HaZo4//zzcc899+Dyyy8HAHieh3vuuQdve9vbAADnn39+27F0QySC1BWaMFv2sKTeJIRETBvo9jCIAjNECkUINC9VDwhogXreEkWJLuPQ5drZrpXyYHvH4OIYUC59a3slCDkCXaS7OzjqKk9ZsLyjcNQs/GO9gC4yMOUYpFjal56IVtYLXvCCbg+BiIiIiIiIqCN9fX0488wz6+5LpVIYHh6u3v/mN78Z1113HYaGhpDJZHDNNddg165duPDCCwEAL3nJS3D66afjiiuuwMc+9jFMTEzgfe97H9761rdWy4z/0R/9EW666Sa8613vwlVXXYXvfve7+NKXvoQ777yz+rrXXXcdrrzySjzjGc/As571LHzyk59ELpfDm970JgBAf39/27G0cuWVV+LNb34znv/856/IZ1cRqSA1EVEYhNBgigFYarrpMjE5zExMoh6mlIeCuwceinX3e8ih6OUQw2YYcqA7g6Ou8lQJeXc3AK/mXgVHzcJx55DQdnISElUJ4UEIr/2CPSYKY/7Rj36Ef/iHf8Du3bvx5S9/GZs3b8YXvvAF7Ny5E8997nO7PTwiIiIiIiLqQJR7Uq+kT3ziE5BS4tWvfjVKpRIuvfRS/N3f/V31cU3T8M1vfhNXX301du3ahVQqhSuvvBIf+tCHqsvs3LkTd955J6699lr8zd/8DbZs2YJ//Md/xKWXXlpd5rWvfS2OHj2KG264ARMTEzj33HNx1113YXx8PPBYWpmdncXFF1+M7du3401vehOuvPJKbN68uePPRyilmqcKEhGtU0opFN0jsNXsksdicgSmHGSQmpZNKQe2moGnCgAENJGGLjJdLzfsqgIcbwYeHEjo0OUANJHo6piWq+Qega2W9qNeIJDSToYQnK+33uSd3fBQaPq4RAJJ/YQQR0S9KJvNor+/HwemfopMJnqVF7LZeWwevhCzs7OB+miF7atf/SquuOIKvOENb8AXvvAFPPzwwzjhhBNw00034Vvf+taSMmZEREREREQUDZV/T1/1jT+GmVr9NoIrycqV8Ln/8Xc9+2/pbjt69Ci+8IUv4LbbbsPDDz+Miy++GG9+85vxyle+EoZhLOs52XyPiKgBIQQS+jjS+s5yUHoAMTmKtH4CYtoQA9S0bI6XRc59DJZ3GI7KwlGzKHkHkHcfh6dKXRmTUgoFdx8K7m7Y6hhclYWtjqHg7kbR3Y+ozWdTSsFRx9ot1XASCq1tniq2DFADgIcCXFVsuQwRdeYjH/kIbrnlFnzmM5+p+4fsc57zHNx///1dHBkRERERERERNTI6OorrrrsODzzwAP7rv/4LJ554Iq644gps2rQJ1157LR5//PHjfk4GqYkoENcroeTuR8F5HHnnURScR1BwHkXBeRKON9ft4a0aKQzEtCHEtTHEtEFIZl1SB1xVRNHbh0b9zhUcFNynoFT4JVpL3gRclW34mKNmYXlHQh5Rp1yocg/qVjwGItedoBNBuG0Qra5HH320YR+r/v5+zMzMhD8gIiIiIiIiIgrk0KFDuPvuu3H33XdD0zS8/OUvxy9/+Uucfvrp+MQnPnFcz8VoCxG1pJSC5R6Ai/r+zAshNguW9xQsL4a4PBFScu4LUTO2N9nycQUHjpqBIYZCGhGglAunRf91ALDVFEw1AiG0kEbVqWDHIcG5ev8/e/cdJ1dd73/89T1Ttpe0Td00kpCEhCSEFpDeBC5FuaLIBS548coVEBC9opcuV8UCKArXBgIqIAI/QKVFei9JaAmEFBLS2/Y2M+f7++PMlsnuzs7O7s7M2X0/fYzsnPPdM++dtpv5nO/nOwTpuSG94+DikPvrO+8u1zOPGTOGjz/+mMmTJydsf/HFF5k6Ve32RURERERE/M4Y47tupH7Lm0mRSIRHHnmEO+64gyeffJK9996bSy65hC9/+cttrdEfeughzjvvPC699NKUj6sitYgkFbVbOxWou9ZMs7uaAmfagGcS8auo7bnrQNStJeRkrkgds/V0NbM7kSVmGwiakkxE6jNjHAIUEaM+6biA0doyQ03AFOEVqpMV8Ex8nIgMlPPPP59vfOMb/P73v8cYw8aNG3nllVe4/PLLufLKK7MdT0REREREREQ6GDt2LK7rcsYZZ/D6668zf/78TmOOOOIIysvLe3VcFalFpFvWukTcbamPpxHXbcFxwgOYSsTPel7b2aYwpj/ZlGfb5fasvN2FnFHE3O6L1A4FBExhBhNJLjDGIeyMoCXJ77aQGeGjrgEi/vSd73wH13U56qijaGho4NBDDyUvL4/LL7+ciy66KNvxRERERERERKSDm266iS984Qvk5+d3O6a8vJw1a9b06rgqUotIt1xbRypFtY4idjt5jBuYQCI+55CPS2PSMQHT/S/6geCkeHupjssVQaeIPCbQ7G5g9/cxhwIKAhPVwmeICplRuCZG1O7stC9ohhF2KrKQSnKVwcX47CQdIOczG2P43ve+x7e+9S0+/vhj6urqmD17NsXFxdmOJiIiIiIiIv3AMd7FT/yWN5POOuustq/Xr18PQGVlZZ+PqyK1yACx1uLaGqLuDizNQICgM4yAGe6bGVqpz7DsKLc/FBXJppAzPF40TTZmWIbSeAImH4eCpMVzhyIck5fBVP0j5JQRNMVEbBWubcZgCDqlOBSqQD2EGWPID4zFtcOJuNVYIhhChJwyXz7PRfwsHA4ze/bsbMcQERERERERkSSi0SjXXnstP//5z6mrqwOguLiYiy66iKuvvppQKJTWcZ3+DDnQXLeFlthammMf0hL7mJjb89qeItlgraUltpYWdy0utVhasDQScTfSHPsQ17ZkO2JK0pk5qXU8RboXNGUETVm3+/OcsVkpkuUHxmPo+uQZQ5D8gH+7IxgTIOyMID8wjrzAWAKmSAVqAcAxeeQFKsgPjCcvUKECtUiGPPPMM/z0pz/lpZdeAuD//u//mDhxIqNGjeL888+nsTF5xxERERERERERyayLLrqIX//619x4440sWbKEJUuWcOONN/K73/2Oiy++OO3j+mYmdUvsE1za2zJawLW1RGJhwmZPHMc3P4oMAVF3Cy41Xe6zRGiJrSUvMD3nCyWOyceQj6Upxe8wBEz5QEYS8TVjDHnOeAK2iIi7A5dmAAIUEXJGEnSy0+bUMXkUBPYg4m4nYqvwOiI4hMwwQs4IHJPemXC5wFqLpQHXNgAOAVOK8fHPIyLiZ7/5zW+44IILmDJlCt/73ve4+uqrueGGGzjrrLNwHId77rmHESNG8MMf/jDbUUVEREREREQk7k9/+hP33nsvxx9/fNu2vffem8rKSs444wxuu+22tI7ri8puxN2QUKBO1EKL/ZB89spoJpHuWOsStdtbr3UxwmBpxNKAIfdnHecFKmmKfUziz2KBzgX2sDM+5wvvItlmjIkXf4dhrW3blm2OCZEXGEvYjqH1NZ4LufrCtY1E3LUJJ9pELTgMJ+RUYoyvGsqISBYY42KM/5YyydXMt9xyCzfddBMXXXQRjz/+OCeddBK//e1vOeeccwA4/PDDueKKK1SkFhERERER8TkHg9NFDSGX+S1vJuXl5TF58uRO26dMmUI4HE77uDn/6azrusTsth5GteC6dRnJI9ITrxgSwyvyWIxpv7RuA0vM1mczZsock09+YDoOxXjZY/E9NuG/ITOeYIbX0hXxO2NyrxDsZXJyLldvubaZFndll50gXHYScde0nSQgIiKZsXr1ak4++WQAPvvZz2KMYf/992/bf8ABB7B+/fpsxRMRERERERGRLlx44YVcf/31NDc3t21rbm7mhhtu4MILL0z7uDk/k9pST9ezURNF7RbCZKdNqkhnrcXoRF7Nx2Kt6XJ/rvLW7ZwcL/jUAzFc23E/xNhI0JZiTM6/rYjIEBCzW2k/qaYzlxos9Rj97TBkWdtCzO4AIkCIgBmO0brUIgOqqamJgoKCtut5eXnk5eUlXI9Go9mIJiIiIiIiIiIdfP7zn0+4/vTTTzNhwgTmzZsHwLJly2hpaeGoo45K+zZyvppkiaQ4rvsPokUyyZBPawG6+4mIFkNBdztzUmtBp5XT6WeLELPbCZoxGc0lIrI7ay0x290yIe1idheOUZF6qPGeHxuJ2U3xLd6JYzG7gYAZTcBM8H0nAZFcZYyhtraW/Px8rLUYY6irq6Ompgag7b8iIiIiIiIikl1lZWUJ10877bSE65WVlX2+jZwvUjsprtnr+KzgJ4NZNElx2uPtbslAlv4Tc3su+ETtDoKoSC0i2WaBntdjtTa1E+FkcInZLR0K1NCxs0nMbgEcgmZ8xnNJbjLEMD48GTZXM1trmTFjRsL1BQsWJFzXSSIiIiIiIiL+Z4zB8dm/7/Tv0UR33HHHgN9G7hepnTyIhaCHGdUBMzYzgUR6kNLsfwPgr1aGqXU18NfPJCKDlaF1dmz3/LPkgvQfa914gTre8aTD88DGTyGL2S0E7BiMCWQjosig9swzz2Q7goiIiIiIiIjkiJwvUgOEzRRa7Efd7g+YChzHFz+KDAGGUIojUx2XK3ou6KT+s4uIDLTWmdTdnQFpSGW2tQwullogisFiDFhL238dY7HWW0LGpYYAw7IdV2TQOeyww7IdQURERERERERyhC8qu45TRNidQYtdS2KLZIeAGUPIGZ2lZCKdGRPGUIylLtkoAqY8U5H6LGY3YqjB9vCWETAjMpRIRCSZ1nbfTvzr3QvVFm/erFr4DDUWN2H2dGsXp47dnAwWbKz78xtkSHGMi2P8d0KLHzOLiIiIiIjI4GGM8V37bL/lHQx8UaQGr1Cdz164bguWRgxhHEfrUEtuCjnjaXE/orvZx0Ez3jdtRK2tx7Wfxq+5tLfRTWTII2BGZjKaiEiXjHEwhLG00LlQbdsuxuRnK6Jki/X+9O3u3xyts6rBH7+jRURERERERERE/MrJdoDecpwwAadMBWrJaY4pJOxMx7D78zRI0Ewk6IzKSq50xOwWwPvg3iGGwSWx+G4xBLyf1yeFdxEZ/AJmVPyUGhfvBJtY/OLNpDWgE2uGIGNi3Rao28cARDMRR0RERERERERExJeqqqr6fAzfFalF/MIxReQFZhJ2ZhJyphB2ppHnzCHo+KsltqW+7Wtj4m0viSZeTAxjtB61iOSOgBmNoQho7//QsQ9EwEzAmLwspZPs6brDye7U3klERERERERERMTzox/9iPvuu6/t+umnn86IESMYP348y5YtS/u4KlKLDDDHFBAw5TimxKcfend+mzAGjLHxC2jhThHJNcY4hJwZBMwYOrZuNhQSdPYg6IzJXjjJmtYTF3oeVzzAScQvvM4Lrg8vqZ2QkStqamp4+OGHWb58ebajiIiIiIiISD9wjPHlRbp2++23U1lZCcBTTz3FU089xT/+8Q+OP/54vvWtb6V9XN+sSS0i2eGYYbi2PvkYhmUojYhIbzg4bV0eIoCDMWEcNIN6qDImjLHDsezsfgxlWq9cZICdfvrpHHrooVx44YU0Njay7777snbtWqy13HvvvZx22mnZjigiIiIiIiIicZs3b24rUj/22GOcfvrpHHvssUyePJkDDjgg7eNqJrWIJOUwio6zEDszOGZ0puKIiKTEWovLCiyrMKYx3vkhBmzFZRnWVmU7omRJwEwGCrvZm0fATMlgGpGh6fnnn+eQQw4B4KGHHsJaS1VVFT//+c/5/ve/n+V0IiIiIiIiItLRsGHDWL9+PQCPP/44Rx99NOB9BhuLxdI+rorUIpKUMSECZk+6brzgEDAzNONMRHKOZROwq9u9Lh9ibfp/QIl/GRMkaGbhmEl4xeogUIBjJhI0czAmnOWEIoNfdXU1w4cPB7x/3J522mkUFhZy4oknsnLlyiynExEREREREZGOPv/5z/PlL3+ZY445hh07dnD88ccDsGTJEqZNm5b2cdXuW0R65JhiDPOw7MC1NQAYU4zDSIzR24iI5BZrbbxInUwMyzYMWpt6KDImQIDRBNQJRHpgjIsxbrZj9FquZ66srOSVV15h+PDhPP7449x7770A7Nq1i/x8nfwoIiIiIiLid35c49lveTPppptuYvLkyaxfv54bb7yR4uJiADZt2sR//dd/pX1cVZdEJCXGBDBU4JiKbEcREelBFGjuYYwB6jKQRUREdnfJJZdw5plnUlxczKRJkzj88MMBrw343LlzsxtORERERERERBKEQiEuv/zyTtsvvfTSPh1XRWoREREZZFI961GrnoiIZMN//dd/ccABB7Bu3TqOOeYYHMd7P546dSo33HBDltOJiIiIiIiIyO5WrlzJM888w9atW3HdxA5uV111VVrHVJFaREREBhVjgmCLST5T2mIoz1AiERHp6LrrruPyyy9n4cKFCduPPPJIfvzjH3PQQQdlKZmIiIiIiIiI7O43v/kNF1xwASNHjmTMmDGYDq3RjTFpF6mNtdb2V0gRERGRXGDtDlw+TDIiH4cFCX9QiYi0qqmpoaysjF1V/6C0tCjbcXqtpqaeYeXHU11dTWlpabbjdBIIBNi0aRMVFYnLyOzYsYOKigpisViWkomIiIiIiEhftP57+uInLyWvKC/bcXqlub6Znx97U87+WzqbJk2axH/913/x3//93/16XPW5FBERkUHHmBEYJnWzNw+H2SpQi4hkibW2y/fgZcuWMXz48CwkEhEREREREZHu7Nq1iy984Qv9fly1+06DxQIbgE+BFrxafzkwDUN+FpNJqiwRYCnQ0GFrENgbQ0lWMuUyiwssB7Z3M8IAhcBIYCwQALYAW4FYfN84oAyT8lqx0h1LDbAKr5Wxxbt/J2MYmdVcucjSDLyB9zxs5QDzMHR9NpxlLbAeaF1XIx+YiaGsH3Oti99GtMNtzMAwrJvxUWAt3usqhvcaGw1MwRDo5nsagY1AFd7zZBgwDkNBN+NdvNf4ZqAZyAPGACMxWTynzXsMNwE78H6OMryfo+eZjY4Zj2vr8O631sYxYWAaxiT+vrbU4t1ftXjPkRHAWAzh/vlBZMixxIAP8V5Xrc+/Urz3k65fhyKD3bBhwzDGYIxhxowZCYXqWCxGXV0dX/va17KYUERERERERER294UvfIEnn3yy3//NriJ1L3kf4r9FYnEzhvfh+Q4sczCMyEo2SY2lAa9otbso8DaW6RjGZThV7rK0AK/0OArq45d1eAW0aIf99cA2YGz8/lWhOl2WT/CKlR3VA+9jGY1hZuZD5SjLTuDdLva4wBIsMzCM3e17XgOadhvfBCzFMhHDlH7I9QaJv0Nab+MdLOMxTNttfBPee5bbYWsU72SpzVj271RItWzDO7Gk44oe9cAGLDMxVOw2Pop3X9V02NoA7AJKsezdbTF8IFl2Ae+R+LM3ABt7fK/2CoSvY0zLbnta8B7PPTBMiI9dB6zBO+Gm9T6rBdbHf3a195He8X53vkriaxC819jrWOZpTXSfMMbFGLfngTkmVzPffPPNWGs577zzuPbaaykraz8BLBwOM3nyZBYtWpTFhCIiIiIiItIfHGNwfNbF0G95M2natGlceeWVvPrqq8ydO5dQKJSw/+KLL07ruCpS99pHdC4udPQ+ls9kddaZ9KSrAnVHK0FF6g7e7uV4S2KBuqNNQBEwvk+JhipvpufaJCO2YCnrVHgduroqUHf0EXS4rywf0LlA3dG6+IkAhWknsj3+DtmApWK3ouhSEou0HcWAJcABHW6jkc4F6va9sBxL0W4zkT8msUDdUQ3e+2JmT4Dwiny7F6i9PZ6V8Z+juxnu7+EVpLuzCksFXjF6zW7HbhUD3sVyYFaK9OJnb9H1a7DVMuCwDGURyR3nnHMOAFOmTOHggw8mGNQ/R0VERERERERy3a9//WuKi4t57rnneO655xL2GWNUpM4Ebxb11h5HwSfQD7PtpP9Z6lIctxzDrAFOk/ss9Xhtf/vTp1jGaTZ1WlalMOYTUJEay6cpjvsQw57xa9tS+I4VwD7pxsJrpd2TD4H9gNYTE3p6DTZhqe9QdN5A8uKYwWtrPT1+Gy30/LttK5apGW59vYnui/Pg/RwboNsidVUKt7GC5PcVeCfdbEEnL0mqvBNFkp0g0Tru07bZ/CJDTX19PYsXL+a4445L2P7EE0/gui7HH398lpKJiIiIiIiIyO7WrFnT86A0aLpvrzTQ84fZ4LX+lty0OsVxegw9VQNwzCb6v/A9VKRykoXuW88nKY7bArS2u05FfVpp2qXyO6Sxw9epFLWh9efw7Eohw84O16tTyGXj4zKpqof9lu5+1lRPSPJmifd0O6lkEeloY4rjUn19iww+3/nOd4jFYp22W2v5zne+k4VEIiIiIiIiIpIKay3WpvI5d89UpO6V/rnTJZtSfQz1WEsu0vNyaEjncbbdfO1nqfwc3Y3p7/f6wXKfSmboeTWYGOv69pLLVq5cyezZszttnzlzJh9//HEWEomIiIiIiEh/cnx6ke7dddddzJ07l4KCAgoKCth77725++67+3RM3ee9UtTzEACGDWgK6YuJKY4rH8gQPlLa85BeCwN5A3DcoSCV96BMtmPOZam2PB8BgEl59YuCtNL0Tn6Hr0el+D0VHb4uh6Tt9A2J73ElKd5GquP6S3dtvFMZk+q64SWk9j6XShaRVqm+/6T6+hYZfMrKyli9unOHo48//piiolT/zSUiIiIiIiIimfCzn/2MCy64gBNOOIH777+f+++/n89+9rN87Wtf46abbkr7uCpS94LBobWgkdykgY4iaTIpn0DQeWbHUGQoAUL9fNTxWo86bVNTGFM54Cn8wKR0X4Fhrw7XUnl/mJlWnnYVPQ9hRttXhnJ6fg2G46/VVuNJPkPT0nF9ZUM+MLKH2xgRH5dJ40hebAe6Wc/XECC1ovqsbo/RzgFGp3AsEY+3PnzPJ74YJg94FpFcdcopp3DJJZewatWqtm0ff/wx3/zmNzn55JOzmExEREREREREdveLX/yC2267jR/96EecfPLJnHzyydx444386le/4uc//3nax1WRutdmk3wW6MxezMiT7Ninh/0T4wUO8fR0f3Wlu7eWkaiImj6vYDk+yYhhmB4LbkPJjB72795ZYS+SF4THYCjuUyLDLJLPdh/Zxck08+i+WGuA+bttKaLrn731GNN3K2oTH9/d7ONCYM9u9g0cQx5eEdnQ9c8/uYcTj+aR/M+cyvhtjKT7QrUD7IXp95N1ZPDr6XfnrIykEMlVN954I0VFRcycOZMpU6YwZcoUZs2axYgRI/jJT36S7XgiIiIiIiIi0sGmTZs46KCDOm0/6KCD2LRpU9rHVTW1lwwOlv2BNcBmIIr34XkJMK2LD/4l1xhKsOwHLAUiHfY4eCcZqP1mR4Z8LAfj3V/1SUaG8FqXjgcCwCZgCxDDa1M9Dq8Ap1nUfWGYhqUc7z2oIb41jHdyRbIC9tBjGIslH3iXzjOLZ3d6rRsCWA4EPgS2dfieEDAVw5h+yrUIy0d4v0NabyMITMF0mOHcPr4onmslsBNwoa2zxzRMF0Vv72cvBjYAu+Jby4EJXf6eMoSw7BPPtBloxntejcUrzmfnxB3DKCyFwEZgB979VQaMi5+0kex7A1gOAlYA2zvsCePdb6Pi4wyWqXgz6TcCNXj370i8zg+ZaPEug42hAMsi4H2851SrAmCW/l70E+t6F7/J8cxlZWW8/PLLPPXUUyxbtqxtLatDDz0029FERERERESkHxhjMMZftQC/5c2kadOmcf/99/Pd7343Yft9993H9OnT0z6uitRp8Np+7xG/iB8ZCoHOZ31I17zuAPv28rsmxy/S3wwj6bk9s0Bri//UP/D23t9nMdCzHA0z6Hmmd8fxYUhoTZ7K95TQm/bkXiF6PMln62eeNzN8evzS2+8NkMr95p08Mzx+Eekf3ut2QbZjiOQsYwzHHnsshx56KHl5efowQERERERERCRHXXvttXzxi1/k+eef5+CDDwbgpZdeYvHixdx///1pH1ftvkVERERERCRjXNfl+uuvZ/z48RQXF7NmzRoArrzySn73u99lOZ2IiIiIiIiIdHTaaafx2muvMXLkSB5++GEefvhhRo4cyeuvv87nPve5tI+rmdQiIiIiIiJdUbvvAfH973+fP/zhD9x4442cf/75bdvnzJnDzTffzFe+8pUsphMREREREZG+cozB8VnHLL/lzbSFCxdyzz339OsxNZNaREREREREMuauu+7i17/+NWeeeSaBQKBt+7x581ixYkUWk4mIiIiIiIgIQE1NTcLXyS7p0kxqERERERERyZgNGzYwbdq0Tttd1yUSiWQhkYiIiIiIiIh0NGzYMDZt2kRFRQXl5eWYLmaaW2sxxhCLxdK6DRWpRUREREREJGNmz57NCy+8wKRJkxK2P/DAAyxYsCBLqURERERERESk1T//+U+GDx8OwDPPPDMgt6EitYiIiGSHjYHdCO5GsC1gisCZAGYUaA0YEckF1noXv8nxzFdddRXnnHMOGzZswHVdHnzwQT788EPuuusuHnvssWzHExERERERkT5yAMdnH+9pfeREhx12WNvXU6ZMobKystNsamst69evT/s2/FWktlFwN4FtAEIQGAumINupRIYOtw7cLWDrgShQCM4wcEaB0Vu4SMqsBXcr2GrAAWckOOXZTpVZtgmirwMNHbbVQ2wrmNEQmKf3FRGRQeqUU07h0Ucf5brrrqOoqIirrrqKffbZh0cffZRjjjkm2/FEREREREREpIMpU6a0tf7uaOfOnUyZMmUItPuOfQrR94EYYAALsRXgTITgbH2QLTKQbAyiy8Dd3HmfC5AHoX28grWIJOdWQeRtoAnv9xkQ+wjMMO91ZPKyGC6DokuBxq732S3groLA9Ewmkt6wFu9vsoBmvYtIWg455BCeeuqpbMcQERERERERkR60rj29u7q6OvLz89M+rj+K1LHNEH2nw4YO7evcdRA1ENor47FEhozIErBbkwxohsjrEPoMOEUZiyXiO7YBIq/hFfcg4feZrYq/jg4e/Cde2WqgKvkY9xNwpoIJZCKRpMqtg9gqr0U7FghCYCIEpoIJZzudiIiIiIiIiIiI9JPLLrsMAGMMV155JYWFhW37YrEYr732GvPnz0/7+LlfpLbWm2GWjPsJ2D3ApF+tF5FuuDU9FKjbBkJsDThzBjySiG/F1hBvP9AFC7bWawMeGJPJVJnn7kxhUBRsHZiyAY8jKXKr4idZuLSfYBGF2GrvhMLwoqHTCUCGDut6F7/JwczDhw/no48+YuTIkQwbNqzLM7BbFRcXs9dee/GjH/2IvffeO4MpRUREREREpD+Y+P/8xG95M2HJkiWAN5P63XffJRxun6QSDoeZN28el19+edrH90GRut77kLon7mYITB7wOCJDjrsxxYE2PlZF6iHN2via5TEwhWBC2U6UW2Kts0+TcDcN/iK1+I+1XlcNultfphGiyyE0P4OhRMRPbrrpJkpKSgC4+eabk45tbm7m73//O+eeey5vvfVWBtKJiIiIiIiIyO6eeeYZAM4991xuueUWSktL+/X4uV+kJprCGAM2lXEi0mtujVecSGnN0WgvxsqgE10PsZVeS2sAHAhMgOBMtQFuk8LvKhsZ+BjZZspTGBQAUzzQSSRVdjvdriHuDfBOsLCz9XoXkS6dc845XX7dneOPP56FCxcOZCQRERERERERScHNN99MNNr5s+2dO3cSDAbTLl7n/qKXpiCFQRaM1sEV6XfWTbEtb6sCFaiHquhKiC7rUKAGrwX8emh5eWgUXlNhCnsaMDR+n5lyoASStdBxKrUedS5xa1MY1NpJQUQkNW+99Rb33HMP99xzD2+//XbCvsrKSrZuTWXJGREREREREREZSF/60pe49957O22///77+dKXvpT2cXN/JrXJAzM6viZudy1SQ+BUZDKV9IZbD7G1ENsJGAhUQHCi1hD3A3cb3szPFAvPgUkDa/zbyAABAABJREFUmUZyldsA0Q+72Wm9JRuiqyA0M6OxcpIzCWIfJBlgIVCZsThZYwwEF0D0NaC5i/3DwZme8ViShEn1vMbcP/9RpFdcC27ure/cI7eHpSWybOvWrXzpS1/i2Wefpby8HICqqiqOOOII7r33XkaNGpXdgCIiIiIiItInxhgcn01oMz7Lm0mvvfYaP/vZzzptP/zww/ne976X9nH98UliaBZePb2bJ0hwrmZb5aroemj+p1egsrvA7oToCmhaDLHt2U4nPWmbFRv/oNMm+cDTlKlIPVTF1tP2/mxt5wtA7JPkz5+hIlCZvNV1YAo4/buuR84yhRD8DDgzgGIgDJRDYG8I7Nt/v9etBXcXRD+B6KdgW/rnuENNSicD5oEZIs9fEemTiy66iNraWt5//3127tzJzp07ee+996ipqeHiiy/OdjwRERERERER6aC5ubnLdt+RSITGxmRLBCaX+zOpwfsgO3ywN1PP3UxbwcyUQ3AGOCOzmU6641ZDZEk3O2PQ8irkH60Z1bnMhNq/ti5dnihiLQTGQ3COThYZqmx9/PnRTRHaAiYCxPDLr50BYwIQ2t9buzu2nvY1qgsgOBWcidlMl3kmBIGp3mUguNXQ8jbYDq2qI8Y7GSA0uxezgwVTCM5Yb93p7gSnackHEUnJ448/ztNPP82sWbPats2ePZtf/vKXHHvssVlMJiIiIiIiIiK723///fn1r3/NL37xi4Ttt99+OwsXLkz7uP6pFphCCC3wZkDZJu+D7ZTWq5asaVnZwwAXImshrBbAOcsZjddwobXNpe08G9YUQHCeChNDmQnR/XIMePusAXQSAwAmCMFZEJgR71YQX4dar6H+5dZB80u0nwjQykJstbc9PD/zufwsuDdEomC34Z20ZNv/G9hj6J1kIUODdeMnYvlMjmd2XZdQKNRpeygUwvVje3URERERERFJ4Bjv4id+y5tJ3//+9zn66KNZtmwZRx11FACLFy/mjTfe4Mknn0z7uP6bQmTCXitUFahzn93S85jYhoHPIekzIQgmWRfWWgjMUnFtqDMlKYwpyP7zxLq51XLcBMApAac4+/fNYBT5CG/2fjdi68Ct7X6/dGYCENoXQou8grQz1psFHz4MgnvqeSwiKTvyyCP5xje+wcaNG9u2bdiwgUsvvbTtH7siIiIiIiIikhsOPvhgXnnlFSorK7n//vt59NFHmTZtGu+88w6HHHJI2sf1z0xq8aEkxYE2TQOeQvooMA2wEP0YcL2JczZG28zZlrfB3e4Vsx2dPDIkpVLos41egTjTRSzbBJGPvfWIiQBBCE7y2hLr+Tp42Ri4G0g+w994Lded2ZlKNTgYA2YYOMOynUREfOzWW2/l5JNPZvLkyVRWVgKwfv165syZwz333JPldCIiIiIiIiKyu/nz5/PHP/6xX4+pIrUMoI5topONkZxmjLf2e2AyRNdBZAWJhZ8oRNdA9FPIP9SbFSpDTEsKY1wyvia12wBNzwPNtD9noxBd3eH5WpS5PJJBUZIXqONsKs9dERHpb5WVlbz99ts8/fTTrFixAoBZs2Zx9NFHZzmZiIiIiIiIiOxu3bp1SfdPnJjeMoAqUsvAMYVg63oYk0KbYMkNJgyxrWDjxZ+ObZONAVqg5S3IPyxbCSVbTD7t69N2J0jG16RuWUJigbqVpf35emhmM0mGhEjpRCmTn4kwIuJnWpO630UiEQoKCli6dCnHHHMMxxxzTLYjiYiIiIiISD8z8f/5id/yZtLkyZMxSbqkxmKpdFbuTEVqGTjBaRBZmnxMaGpGokg/cOshtqXrNX2tBSzEdoJbDU5ZxuNJFgUmQnRVkgHGG5PJVt9uHbjbkgyw4O4Etwac0ozFkgwxDgQqvXWnuz15wnpjREQko0KhEBMnTkz7H7AiIiIiIiIikllLlixJuB6JRFiyZAk/+9nPuOGGG9I+rorUg5WNeu1s3TpvBmxwfObb2gbGQ3Qt2Kqu9zsjwBmTyUSZZyMQ3ZDdx6G/uNVdF6g7slZF6qHIKfHawcfWdrHTAGEITctsJrc69XG7F6mtC7FNEKuKFzvHQEDr7/pOcIb3OBKhy0J1cA//vh+LiPjc9773Pb773e9y9913M3z48GzHEREREREREZEk5s2b12nbvvvuy7hx4/jxj3/M5z//+bSOqyL1YBRZB81L8NZ/jbfgbXkPgpMgb4FXdMkEE4C8RRB5D2Kf0l4kiM+qDO2VuSzZEPkEmpfS+XGYDHnzffizR1Mb5mqN1yEpNNdrnRz9mITnijMSQvMy31bZpNpafLfXYWwHNL0Kthna2rss936OggPA5PVjSBlQTgHkHQKRZeBu77Aj5HX6CGb4xAkREWlz66238vHHHzNu3DgmTZpEUVHiSUNvv/12lpKJiIiIiIiISKr23HNP3njjjbS/X0XqwSa6CZrf7LChw+yx6CeAgfx9MpfHhCC8AOxscKu8bc4wb1bxYBbdCM1vddjQ8XFYi/c4LMhwqD6yqRbVtW7DkGQMhGZ4s1PdnUAMTCk4hdnJ44yg53WyDQRGtV91a6HxRbwTS0j8XncHNL4EBUdktm259I1TBHkHecsV2FogAM7wXpzEICJDntakHhCnnHJK0rWsRERERERExN8cY3B89u8+v+XNpJqamoTr1lo2bdrENddcw/Tp09M+rorUg03LB8n3R9eCu2fmW5yaPAiMzuxtZou10PJ+8jHRNfHHIUsFvHSYFN8uTGhgc0huM4HEwm/WOPEas+26qNzWur5DsbJlJdDdh/rWO9EmthmCY/szqGSCUwSotbeISK645pprsh1BRERERERERFJUXl7e6WRzay2VlZXce++9aR9XRerBxK1PbR3W6EYIp39mg/TA1nkzMnsS3QhhH7WbDYzAa42cbGaOyZECpQx5sW1gY+0F6o7rqbdtcyG2tb3oHF1PjzOvo5+qSC0iIpKm+vp6Lr/8ch555BFaWlo46qij+MUvfsGoUfr7UURERERERCRXPfPMMwnXHcdh1KhRTJs2jWAw/VKzitSDiY2kMMikOE7SlurjkOoaz7nChCA0FSIfdz8mOMFbB1Yk22z89WWtd+l4lpfrdj2urc13twdtHy8iIkOD6yb+3vCLHM185ZVXcvfdd3PmmWeSn5/Pn//8Z7761a/y0EMPZTuaiIiIiIiI9CPHeBc/8VveTDrssMMG5LgqUg8mTiE9r8FqwSnOUKAhyikipcfB+OxxsBYC4yC62ZstvjtnJOT5bJ1t6X9ug9clwEbBKfFmHZtU1zPvRx2XNLB2t7U5TXvRunWcMWAKwTYkOajR+6eIiEgfPPTQQ9xxxx184QtfAODss8/mwAMPJBqN9unMaxERERERERHpX4888kjKY08++eS0bkOfBAwmJgyB8RDbQPcF0iAEx2cy1dBj8iAwFmKb6P5xCPmrZbDbAA0vg7urfZsxtBXjbQDCU1Jft1oGHxuDprchsja+If7cMHlQcAAEM7wmvVMOThnEqnYrUOPlwkCgHJxh7ZtDU6HlvSQHtRCa3M9BRUREho5PP/2Ugw8+uO36woULCYVCbNy4kYkTJ2YxmYiIiIiIiIh0dOqppyZcN8ZgOyyr2XGN6lispy6lXcvC9DYZUHlzvGI13fQlyN8HTCCjkYakvLlee+zB8DjYCNQ/A27Vbtvjs1OtBaLQ9Ko3y1qGpsY3OxSooe0EDdsMDS9AbGdm8xgDTkUXBeo4a739HduAB0Z7sa3tPBaAfP91QBAREckhrusSCoUStgWDwbT/MSsiIiIiIiIiA8N13bbLk08+yfz58/nHP/5BVVUVVVVV/P3vf2efffbh8ccfT/s2NO1xsHEKoeAIaHkfop/SVihyhkF4duZnMw5VThEUHAnN70Os4+MwPP44VGQ1Xq+0rO2hBXIHTe9B8ZgBjSM5KFYD0XXJxzR9AEWfyUwe8IrTkdXJx7Ssgby92k8YafnY+77Wbv2d1rGuh9g2f71+RUSkb6ztfPKSH+RoZmstRx11VEJr74aGBk466STC4XDbtrfffjsb8URERERERKSfGJM409YPfBY3oy655BJuv/12PvOZ9s/4jzvuOAoLC/nqV7/K8uXL0zquitSDkVMI+fuBnQ9uo9eC2SnMdqqhxymEgv3AzgO3yZtZ7RRkO1XvRT5Jfay7C9w6rds71ETWkXwdduu1v7eReIeBDIhtA9vSw6AWiG6F0Fjvw/zIJ3jt6+nw346M97OqSC0iIpKWq6++utO2U045JQtJRERERERERCRVq1atory8vNP2srIy1q5dm/ZxVaQezEwIAhkqCEn3TBgC4Z7H5Srb3MvxPRUGZdBJ9THPZJE65edh6zgL9NRq1Pbr89taF2wT4GCc/H47roiISK7qqkgtIiIiIiIiIrltv/3247LLLuPuu+9m9GivY/OWLVv41re+xf7775/2cVWkFpHknBKIpdjuG8Bo1v6Q4xTR/SzqtkFg8jKRJn5zRamNa11j2jjeCSU9FaH74fltbQyal0PzR20ngVinHPL3woQn9vn4IiIiIiIiIiIiIiL95fe//z2f+9znmDhxIpWVlQCsX7+e6dOn8/DDD6d9XBWpRSS58FRo3JLCQAPBsaAZoUNPaBI0v0v3hWoDocntaz9ngjMMnFJwa5KMKYbA8A4b8r2icbLFR1ItfnfD2hjUPwfR3V5TbhU0vIR16zD5s/t0GyIi0o+s6138xo+ZRUREREREZNBwMDj4a5Fnv+XNpGnTpvHOO+/w1FNPsWLFCgBmzZrF0Ucf3ae1x1WkFpHkguMhMAZim5MMMkAQ8vbOVCrJJU6+99g3L+tip/FmUOdluPBqDOQvhIbngK4+qDeQv297Qdra9oK2tYmF6tbr1kJsZ99ytazqXKDuqGkZNjQBEyjt2+2IiIiIiIiIiIiIiPQTYwzHHnsshx56KHl5eX0qTrdy+iGXiAxmxkDhwRCeCQSxsRg2FsVGW9ovNoQtOAICJdlOK9mSNwPy9wfTcaax8U5yKDoKnILMZwqOhMLDITAycXtghLc9OKrDRotXzI7PBre7zQq38X022rdMzSt7GGC8Qrb0Gxurxta/ia15Clv7DLZ5Fbavj6OIiIiIiIiIiIjIEOG6Ltdffz3jx4+nuLiYNWvWAHDllVfyu9/9Lu3jqkgtIj0zDuTPxeZ/BmyscwvJWB3U/gPrNmUnn+SG8CQoPh6KjoXCI6H4JChcBE4W1ykPjoCiI6D4hHimE6DoSK+A3ZFxOhTYrXdpa/HaWrA20NcZzm5tDwMsxKr7dhvSxja+D9WPeet/R7dCZCPUvwrVj2JjPT0WIiLSn4YPH8727dsBOO+886it1fuwiIiIiIiIiB98//vf58477+TGG28kHA63bZ8zZw6//e1v0z6uitSDlLURbNNKbP0b2Ia3sZFt2N1nBor0grUu1D2VZEQMqv+WsTySo4yBQJlXHHbysp2mnVMUz5RkTem8aT0cxHprtPdJT+tyGzChPt6GANiWddC4tPVa4k63EWr/6b2viYgk03rCkh8vOaalpYWaGm9pjT/84Q80NenkRhERERERkcHKMf68SNfuuusufv3rX3PmmWcSCLR/xj1v3ry2NarToTWpByHbsg7qXgGi0LrQe9NyCI7CFh+GyaXCkfhH80o6FXp2Z5uw0SpMsDwTiUT6V3g6NrIBYtvp+PeIJf5Omj8/eZE7FaFKiKyl+9eS9cZI3zV+kGSnBbcOIhsgrPtbRCQTFi1axKmnnsrChQux1nLxxRdTUND1ciC///3vM5xORERERERERLqzYcMGpk3rPMnLdV0ikUjax9VM6kHGRrZB3Yt4BWpoa1sLEN0Odc9qRrWkpynFdXKbPxrYHCIDxGLADYAbS3yftK63DrvpY4EaIH8W0N0peQacUghN6PvtDHHWRiC2o4dRBiKbMpJHRETgnnvu4YQTTqCurg5jDNXV1ezatavLi4iIiIiIiIjkjtmzZ/PCCy902v7AAw+wYMGCtI+rmdSDTdN7SXZar1Ad3Qqh0RmLJINFim0jbWxgY4gMlOaVEFkfvxLrPNe59nnssH/FOOHd96TMBMqwRYdBw4tgI7QXrC04ZVB8GMbo/LE+S7nNbe61wxWR3GKt68ulAXIx8+jRo/nhD38IwJQpU7j77rsZMWJEllOJiIiIiIjIQDDGYIy/+mf7LW8mXXXVVZxzzjls2LAB13V58MEH+fDDD7nrrrt47LHH0j6uitSDiLUxiGzsYZSBlnUqUkvvhcZBc3UK4yYOfBaRfmathcblPYyKQfMqKJjVp9syoTHY0lMhsg6iO8E4EBwHwdFZ/UPIWhcin3pdE9wGr7V5/h4QGu+/wrkJe/nd+iSDLARGZiySiIi0W7NmTbYjiIiIiIiIiEiKTjnlFB599FGuu+46ioqKuOqqq9hnn3149NFHOeaYY9I+rorUg0mqM1httOcxIrsrnAvNPRXxApi88RmJI9K/ouDW9jDGQLSnFtKpMSYI4aneJQdYG4GaZyC6BW92t4XYLm9meXAMtvQIL7NPGGOw+TOh4a0ko0KQNzlTkUREZDfPPfccP/nJT1i+3Pv7cvbs2XzrW9/ikEMOyXIyEREREREREdndIYccwlNPPdVp+5tvvsm+++6b1jF9NjVKkjIhMHk9DLIQKM1IHBlcjAlB4X7JB5UclZkwIv0uxV+HfptRnKq6N7ylIADaGp3H/xvdAvVvZCNV3+TN6GZ9bwM4UHKorwrvIiKDyT333MPRRx9NYWEhF198MRdffDEFBQUcddRR/OlPf8p2PBERERERERHpoK6ujsbGxoRtS5cu5aSTTuKAAw5I+7iD9NP2ockY430oT7J2sQby9shUJBlkTP4MKDkSTEHiDqcUSk7EhEZlJ5hIHxkTgOBokr9/Wgj1X6cAa11srBYbq/PajWeJdRuhZTV0XoW7dQQ0r8K6TZmM1WfGOFB8CBQtgsBwIOC1Ac+bBmUnYEJjsh1RRPzAdf17yWE33HADN954I/fdd19bkfq+++7jhz/8Iddff32244mIiIiIiEgfORhfXiTR+vXrWbRoEWVlZZSVlXHZZZfR0NDA2WefzQEHHEBRUREvv/xy2sfXFKLBpmC2t6ZorIouCw6F+2Oc/EynkkHEhMbCsM9nO4ZI/yvYC2q3dLPTeGschyv7fDPWxqDhHW8NbNvibXRKsUVzIW9a5teljmyl+wJ1K+vNtA77a815YxzIm+pdREQkZ6xevZqTTjqp0/aTTz6Z7373u1lIJCIiIiIiIiK7+9a3vkVTUxO33HILDz74ILfccgsvvPACBxxwAKtWrWLChK46WaZORepBxpggtvQYaHwPmleCjXg7giMhfw4mrPWCRUS6YsLjsYX7QcMbtK3L3MophNKjvKJnH1gbg+qnILI5cYdbA7UvQbQGihf26TZ6L8XZdlmc7S0iIoNLZWUlixcvZtq0aQnbn376aSor+35CmIiIiIiIiIj03fPPP8+DDz7IgQceyOmnn86YMWM488wzueSSS/rl+CpSD0Le2sELsAXzwDYBAYzT01rVIiJiCmZiw+OhaSXEdgEByKuE8KT+Wb+4aWXnAnVHje9i86dggsP7flupCo7s33EiIiI9+OY3v8nFF1/M0qVLOeiggwB46aWXuPPOO7nllluynE5EREREREREALZs2cKUKVMAqKiooLCwkOOPP77fju+7IrW1LthmMKH+KRh0PLYbAWJg8jLfbnUAGOOAKcx2DABvvdXWtrYmnDP370A+nwY7G2vyToJwijGO7jvJbdbGvPcgE/bWn07CBEqwBfPBrfXeGwL9+D7auKKHAQYaP4KSA/vvNnu6xUAJNjQeIhvpuu23gdB4TKAoY5lEMqU37w25rP3vLINxwtmOM8hYsLm9vnPXcrv7xQUXXMCYMWP46U9/yv333w/ArFmzuO+++zjllFOynE5ERERERET6yhhwcqMMlLIcKVvlHMdxEr4Oh/vvsyffVJas2wT1y6Dpo3gLa4MNT4SieZhQ32Z32eZPoWEZROJrkToF2ILZUDjH1x9Y5gJrrfeYNbwHsWpvY6AcWzgX8rOw9mprLrexw/MpChhs3iQomp/ZGYw+ZBs/gro347P049sCI6DsUExwWBaTiXRmY3VQvxSaVgExwMHmTY2/1ks7j3ebofqZeME2vs2EoHAupmh+3wPFanpKDLGqvt9ObxUvgup/gFvvtfU2pv2/TpG3X2QQ6f69YR4mWJbldKmz1vXWt294H9w6b1twBBTujcmfkuV0Isl97nOf43Of+1y2Y4iIiIiIiIhIN6y1zJgxo62WV1dXx4IFCxIK1wA7d+5M6/i+KFJbtxF2Phb/8K11VoCFlnXQsh5bfiwmPC69YzeugNqX8dYfjXMbof4taNmALT9Oheo0WWu9NVabPkrcEauC2hcgugNbfEDGC9U21gC7HgW3gYTnU/Mn0Lzee8zDYzKayS9s3VveCR27i+2AnQ9jh53U55NGRPqLjVbDrsfiswtbX+suNK+Clk+ww05MOCnFus2w/X4gstuBIlD/NjZajSk7rG+hTMjr3pB0TBZmQbqNEK3H6ybitK8/7ca8wrXbDE5+5nOJDIDevjfkKmtd76Salk8Sd0R3Qs0z2Fh1/5xcIyIiIiIiIiIiQ9Idd9wxoMf3RZGa2jd2K1C3st6l+lnsyC957a17wcbqofaVDsfaTWSzNzulcE4aoYWWTzsXqDtq/ADyJkF4bOYyAdS9tluBupUFYlDzLHbE6b1+Pg12NlbbdYG6fQRUL4aRX8xYJpGkal/crQjVynodFGpegOEdWorWPEenAnVHzauwkTmY0Ij0M+VNgaYPu8jUcczk9I+frprn410lumprG/FOOBp2QuZziQyE2pd6eG94HjvslJxZmqRbTas7F6iBtp+r/m1s3iR1Oekra9tP3PETP2YWERERERGRQcMYk/ufrezGb3kz4ZxzzhnQ4+d8Fc66zdC8mqQf6NsmaF7X+4MnK6C2avig98cVT+MKEmaod2JSWJ+1f1m3EZrXkvT55DZAy4ZMRfKP+nd6HuPWYyM7Bj6LSA9stCq+hEN3r3XrdXOIP1+ttam97uve6FuwwtlAgK7fGw0EyryTdzLIRrZ7My+tC24XF+tCZLM3+1TE52y02jsJMel7w06I+uB3WWNPf6Nm/u8sERERERERERGRVOV8kZpYLbD7rK7dmfTW8IzuImmxEsCtw9pY748t3oe8Se/f+AfBmRStocfHPN3n02CX6gf20V0Dm0MkFdGq1MbF4s9Xt5me3xtIYU3p5EygFMqPBZMX3+LQVrAODoeyLCwxEd2VfKZg676YXtsyCKT6+90Pv8t6fJ/Lwt9ZIiIiIiIiIiIiKcr9dt8mxYjpfKhvgnjFgWSFCYMfavk5KZXHLtXHt7+kdHsWP7w0Mi/V16LuO8kBKf9OiD9fU/5d0/ffByZUgR1xOrSsg8h275ih8RCqyE5LGRPsuS2s1fuiDBaD6HeZCcTb9CcbE8pMFhERERERERERkV7K/U/gAmUQKO1h9pqFcBrtUfMmQdPHSQYYyJukPvTpypsSX8M42dqrUzIWB4DgMHCKwK1PPi6vMjN5/KRgBtRu7mGQgfC4jMQRSSo81ivO2CRrTBNoe74aJ4g1BWAbkx83b2q/xDPG8dae7sX60zZaDY0rvSUJnCIomI4JlvY9jJPiMZzCvt+WSLaFR/fqvSGn5U+Bxhxc436wsfFlD/wmxzPHYjHuvPNOFi9ezNatW3HdxLz//Oc/s5RMRERERERE+oNjDI7Pamt+yzsY5HyR2hiDLVoANc91N8IrJKfzQX24EgLlEKum2w/4Cuf2/rjiKZgJje/HZ/nsfv8aMGGv8JlBxjjYovlQ+1L3g/KnYQLFGcvkG/lToe41sM1JxkzDOOHMZRLphjFBbOFcqH+7+0GFeyU+X4v3Sf7eQAAK5/VbxlRZ60LNy9DwAQlrWde9hS2aCyUH9u1kqt60Pw4NT/92RHKA996wN9S/1f2gwtkYJ6/7/bmiYC/vxBW6WpbGeCeW5Gf4ZECRFH3jG9/gzjvv5MQTT2TOnDk6KVhERERERERkCMr5IjWAyd8D6zZA3Zu77bEQngClh6Z3XONgyz8L1U/G1+xr/XDEAgEoOxwTGtWH5EObCRRiy4+HqifBNpFw/zoFUHYMxsnPfLD8GeA2Qv2S3XZYb8ZRyUGZz+QDxjjYYafAzoeBls4DQuOh5OBMxxLpXuE8cJugcbfiLhby94SifRKGm4I947OV3+viYAEY9i8YJ8PrRQPUvRUvUEOnE37q3wUnH4oXpH/8VFujZ3qtbJGBUrh3/L3hfTq/N8yAooXZStYrJliGLT8WqheDbSHx76xiKD8Oo3bfkqPuvfde7r//fk444YRsRxERERERERGRblRVVfHnP/+ZCy64AIAzzzyTxsb2bqSBQIDf/OY3lJeXp3V8XxSpAUzhXGzeHtC0EmK13izc/KmY0Mi+HTdQ6BXeWjZ664PaGASHa0ZoPzGhkdiRX4TmtdASbxUdHhtvo56dgocxBormY/Ontz+fnHzIm4oJjchKJr8wwWLsqDO9mVtNy712qU4JFC3EhPv2WhTpb8YYKDkQWzDbW9rBrfdOkMmfhgmWd/09JftjC2ZB3RsQ2wkEIH8PKJiDcfq+HnVvWbcF6t5JPqhuKbZoLibdNXTDYwAHSNYa1omPE/E/773hAO+1nuJ7Q64y4bHe31lNayCy1VvjPjwewpXesgIiOSocDjNt2rRsxxARERERERGRJH7zm9+wdOnStiL1I488wnHHHUdJSQkAr7zyCjfffDPXXHNNWsf3TZEavIIyRf3fatUYA3njvYv0O2PiRZ78PbIdJYEJFEHR/AE7vrUWmj+FhuUQrQYnDwpnQMG09ItJOcAY4/0chZlt1S6SLhMs9Vp5p8o2g3UgZr2JiW4Mr3tAFjo/NG+g61a+HdgING+C/Mq0bsI4+diCmfEZ590o2DM7nS/6gW3ZAvXvQ2SHtxZxwRQonOmPds4yoHr93pCjjAl5y6dkeAmVIUNrUg+Ib37zm9xyyy3ceuutavUtIiIiIiIyCDnxi5/4LW8mPPDAA9xwww0J22688UamTp0KwEMPPcR11103NIrUIn5hrQu7/unN0MLQ1qK3ZSPULsGOPNkrkotITrG1b0Pt6yS8biNboG4JdsRJmHCGl4CwkRTHRft2O6UHgFsHzeto/9nj/82rhNID+3b8LLDWeo9l3RISH8/N3uzzESdhtMa2iEhWvPjiizzzzDP84x//YK+99iIUSmxN/+CDD2YpmYiIiIiIiIi0Wr16NXvuuWfb9T333JNwuL0L9bx581i5cmXax1eRWmQg1C2JF6ih0xqysRrY+SSM+lzGY/WVjTVCZBte698KtcSXQcU2fRIvUEOn162NwM6/YSvOxDgZXOM11SJqaFifbsaYALb8GGjZ5LXzd+vBKYKC6RAe689Zbo0fxwvU0OnxdJtgx9+xo8/I2tITIiJDWXl5OZ/7nP/+FhYREREREREZSurr66murqay0uvi+eabb3ba77rpd3NTkVqkn1kb62ENWQuRLdiWbZmflZkm6zZD1UvQ+BFtxR4TwBbuBWUHqsgjg0PdUhJm3CawXmGzaRUUzsxYJBMaiQ2OgOjObnIZCFX0yzq63tIX47zLYFC3NMlO680cb1oLBbm1FIWIyFBwxx13ZDuCiIiIiIiIiPRg6tSpvP3228yZM6fL/W+++SZTpkxJ+/hqsS7S36K7vDVtkzLeetU+YG0Utj+SWKAGsDGofwd2PO611RXxMWtdbxZxl4XgVll63ZYfDibo3f7ueUwIyg/LfKYcZ90WiO7oYZSJr/ktIpKE6/r34gPbtm3jxRdf5MUXX2Tbtm3ZjiMiIiIiIiL9xBjjy4sk+tznPsf//M//sGXLlk77Nm/ezNVXX92nTmmaSS3S3wZbwbZ+BUS2d7+/eR00fQIFkzMWSSQ7svPaNqER2JGfh9q3vZncuIADBdOgeB9MsDQruXJbqo/VIHu/FhHxifr6ei666CLuuuuutrZggUCAs88+m1/84hcUFhZmOaGIiIiIiIiIfPvb3+avf/0r06dP56yzzmLGjBkAfPjhh9xzzz2MHz+e//7v/077+L4rUlu3CSJVYAIQGoExmgwuOSZY7s1utJEkgyyER2cqUd80LO+8rWMh3gK1S7CBwvhrUq2/xX+McbChkRDZQdLCZSg7r1sTLINhR2DtIeC2gBPGGN/9Cs8cE/bW1I7Vd56A3sZm7fEUERnqLrvsMp577jkeffRRDj74YABefPFFLr74Yr75zW9y2223ZTmhiIiIiIiIiJSUlPDSSy9xxRVX8Oc//5mqqioAysvL+fKXv8z//u//UlJSkvbxffMJt401QtXL0PAR3iwyIFCELVkIxXM0DV9yhnFC2MLZXivs7taQDZZDeGyGk6UpVtf+dWtxevfZ4s0bYctfwMnHliyAkgV6TYr/FO0NVf/sfr8JQeGMzOXpKoIJQsA3v7qzxhiDNWGgvusBre9hgeKMZRIRn7Kud/GbHM/817/+lQceeIDDDz+8bdsJJ5xAQUEBp59+uorUIiIiIiIiPucYg+OzGoHf8mbKsGHDuP3227ntttvaluoaNWpUv9SAfPFJt3WbYeuDEK0moegXq4eq570iWvmirOUT6aR0P4hsg5aNeNP4Wp+3Bpx8GH6cf4q4Tj64Td7XPbUyd5ug+hWIVmOHHe6fn1EEoGA6tGyBhvfp9LrF8V63Tl5WollrvfWw65ZDrBYChVA0E/InqaNIF6wbgejO+DXjvXe1vh/ZDo9r01rIn5CFhCIiQ1tDQwOjR3fuZlFRUUFDQ0MWEomIiIiIiIhIMsYYKioq+vWYvihSU7u0c4E6Yf/b2KJZmFB5BkOJdM+YIHbEidD4MdR/ALFqMHneLMzC2ZhAQbYjpq5wJtS82ru1tus/gKJZkDdm4HJJzrLWAq7vWr8bY7Bln4H8iVD/nrcWuwlA/hQomuO13M4Ca2Ow/XGvoNpWPDfQuBryxmFHnohxwlnJlrNstMPX3XSAgB6WZRARkYGyaNEirr76au666y7y8/MBaGxs5Nprr2XRIp18LCIiIiIiIpILFixIrWvu22+/ndbxc75Iba2FuvdIukYoBuqXaza15BRjAlC4p3fxs6LZUP8+RGp68U3GK1SrSD2k2OaNUPM2NK4FLDZYBiXz4ksy+KNgbYyB/EneJVdUvRwvUEP778L4f5s3wa7nYMQxWQiWw5w878Qg25x8XHBYZvKIiEiCW265heOOO44JEyYwb948AJYtW0Z+fj5PPPFEltOJiIiIiIjfVDXvYFXNu9RHaskPFDK1bDYj832y3KZIDjv11FPbvrbW8oMf/ICvfe1rDB8+vF+On/NFaoi1txrulo3PtBaR/macPOyoU2HzfSm8FltZiOg1OZTY+o9gxxMktMmOVsOu56HxE+yoE31TqM4l1m2GuveTjYCGldjygzCBoozlynXGONiivaBuCd2f5Gb8fxKRiAw8rUk9IObMmcPKlSv54x//yIoVKwA444wzOPPMMyko8FHHIRERERERySprLW9s/Scrqt7C0Drb07Ci6i0mFc/gM2P/hYDjgzLYIOQY7+InfsubCVdffXXC9Z/+9Kd84xvfYOrUqf1yfB+8OgPxSyzJmPg6vyIyIEygGFswGeo/JHlXg7bvgIBek0OFjTXCjqdar3Ue0PSJ1xGjZF5Gcw0KzZtJ/vsPwELTp1CkgmuCkgXeDPToLhKfl/ETKco/46+lF0REBpnCwkLOP//8bMcQEREREREfe2/na6yoegsAu1sHwk/qVpK3dTEHjjkuS+lEpCc5X6Q2xmALp0NDsuKY9db6FZGBUzgD6lekOFivySGl/gN6PHmhdpmK1GlJdSZcL9aMHyKME/a6QNS+5T1HW9efDo2CkoWYgsnZjCciMuQ88sgjHH/88YRCIR555JGkY08++eQMpRIREREREb+KuVHe3/lakhGWldXvMG/kZygIqgOhSC7K+SI1AKULofFjsDESPoi38a+Dw6CPbWRtrAma1gMxCI3ChEf0/D3NWyGyE5wQ5FdinHDy8W6LdxtuBMIjMOFRfcqc9LasheaNEK2FQJ6Xz2Tv4baRamjZDBjIHz9k2tJ6j8MmiNbkxOPQJ+GxECzzWji7Lph47wuzew8MA6GRkDce27Aa3BYIDYNwhbferww+Ldt7HhOtxtqob57/tmG1t7a2CULJPEyoLDtBwhUktFDvdtzoTKTxHePkQdlB2NIDIFYPJogJFGY7lojIkHTqqaeyefNmKioqEta02p0xhlispy4iIiIiIiIy1G1r2kiL25x0jMWysX4Ne5TNyVAqEekNX1QLTKjcmw214wmI1cY/q++wPlxkO2y+FxsaBSOP6VXx19oY7HoJat+hY0tVmzcWRhyLCZV3/p6WbbD9KYhs6xAyiC1dCGUHdCrEWWuh+lWoeRtstH17qCKed2TKeVP6mRrXw87Fiet0O/nY8kWYkr379bZ6zBKrhx1Pe8WeNgZbNBOGH95jYd/PbNOnsGMxRKvaNzp52LJFULK3rwq2tnoZVD1H4kkitJ8cYm17sTo8HsKjYMPv22cuAoRGYkccjclTMW3QSfkkIWdAY/QH27getj0GtqV9Y+0SbGgkjPlCxt+zTKAIWzAFGtfQdaHaQN44TGhYRnP5jTEBCJZmO4aI+JG17SfG+kkOZnZdt8uvRURERERE0hHrUGvpj3HSv0z8f37it7yZ8POf/zzhejQa5c4772TkyMS65sUXX5zW8XO/YhBn8kbD2LNg5EnezDLbxQcbke2w+S/YyK7UD7z9KahdQqc1P5s3w+b7sdG6hM02sgs2/8W7rYQdUah+DXY93/k2dj4H1a8nFKi9vNt6n7cHtmkDbH0osUAN4DbBzmewNUv77bZ6zOI2e/dV4ye77/HaRm99BNvV4zgI2KaNsOWhxAI1gNsMu56NP+f8wdYshapn6bJAZmPgRr3XoxuDgj0gPBJq3kgsUANEdsCWB7AtOzKQWjKqYDLJZ/oayJ+EMbn9K8c2b4OtDyYWqFtFtsOGu72TjjJt2OFeF4NODASKYfhRGQ4kIiLSN3fddRfNzZ1nPLS0tHDXXXdlIZGIiIiIiPhNeYqTFYflVQxwEhmqbrvtNvbee29KS0spLS1l0aJF/OMf/2jb39TUxNe//nVGjBhBcXExp512Glu2bEk4xrp16zjxxBMpLCykoqKCb33rW0SjibXEZ599ln322Ye8vDymTZvGnXfe2SnLL3/5SyZPnkx+fj4HHHAAr7/+esL+VLJ05aabbkq4jBkzhrvvvjth280335z6nbab3K4Y7MYY431Q37yxmxHWKwRXJVuHoMPo5i3xta67OZbbBDVvJW6uejVebO6mUFG7FButaT9KpArqliXJG4Gq17vZn4ZdLyTfX/WS13Y8E+rejxfLu7qvLDRviM8OHISqXiRp0a7qZa+In+OsG+n5OeWN9C71H3Z+zXQcY2NQ9Uo/JpScUDAVguXQ7Zlm1lu2IdftfDr5frfOe1/LMBMogNFfgLKDvPvZhCBQCmX7w+jTMcGSjGcSERHpi3PPPZfq6upO22trazn33HOzkEhERERERPymKFTChKI9up39ajCUh0cyMn9shpPJUDFhwgR++MMf8tZbb/Hmm29y5JFHcsopp/D++95nyJdeeimPPvoof/nLX3juuefYuHEjn//859u+PxaLceKJJ9LS0sLLL7/MH/7wB+68806uuuqqtjFr1qzhxBNP5IgjjmDp0qVccskl/Md//AdPPPFE25j77ruPyy67jKuvvpq3336befPmcdxxx7F169a2MT1l6c6aNWt6vKxevTrt+9BXRWrAm4GbdMq9hYaVXnGtx2Mt7/lYde+3zZyzbgQaVtLjjMG65b3M+xHW7XvLCRvZBS1bkuezUWhI/wnTK7Xv9TDAQN0HGYmSSTZS7a1DnfRxiEHDqoxlSlvjaqC3s92TvT4sNK72RYFeUmeMAxWndJjtazpcHBh+NCZ/fPYCpsBaCy1bex5Yu3TAs3TFOGFM6QLM2DMxE76KGXcWpnRfTCA/K3lERIYM1/XvJYdZa7tc+ubTTz+lrKyr7iEiIiIiIiKdHTD6WAqCRZ0K1QZD0AlzyNh/8dWym4OJY/x56Y2TTjqJE044genTpzNjxgxuuOEGiouLefXVV6muruZ3v/sdP/vZzzjyyCNZuHAhd9xxBy+//DKvvvoqAE8++SQffPAB99xzD/Pnz+f444/n+uuv55e//CUtLd5k09tvv50pU6bw05/+lFmzZnHhhRfyr//6r9x0001tOX72s59x/vnnc+655zJ79mxuv/12CgsL+f3vfw+QUpZs8cWa1Ali9XiFj2SFMNebBe2EUjhWD61bbQSvFXjQO2ZP4zHx46aTt7iHY/cg1pDCoN3yDaQe81iI1fUwxofcHHsc+mJAMlqINYKTNwDHlmwxwVLs2C973REa13gnxIRGQvFsTKAo2/F6luraNLGmgc0hIiIyiC1YsABjDMYYjjrqKILB9n+OxmIx1qxZw2c/+9ksJhQRERERET8pCpVw4qRzeH/n66ysXkbEbSFggkwt3Ys5ww+gJFye7YjiQzU1NQnX8/LyyMtLXs+IxWL85S9/ob6+nkWLFvHWW28RiUQ4+uij28bMnDmTiRMn8sorr3DggQfyyiuvMHfuXEaPHt025rjjjuOCCy7g/fffZ8GCBbzyyisJx2gdc8kllwDesllvvfUWV1xxRdt+x3E4+uijeeUVr6ttKlm609jYyOLFi/mXf/kXAK644oqE5bsCgQDXX389+fnpTabyX5E6UETPhWIHnBTukEAxPRaQTRgIxA+b7x076cxSGz/uAOTtSUqFIJviuH4QKIJoshmzBgKDsE1trj0OfRHo44kTXTIQKBiA40q2GROAwmnexW9Mir8ONXNZREQkbaeeeioAS5cu5bjjjqO4uP1vzXA4zOTJkznttNOylE5ERERERPyoIFjEvhVHsHDU4URthKAJafa09EllZWXC9auvvpprrrmmy7HvvvsuixYtoqmpieLiYh566CFmz57N0qVLCYfDlJeXJ4wfPXo0mzdvBmDz5s0JBerW/a37ko2pqamhsbGRXbt2EYvFuhyzYsWKtmP0lKU7f/jDH/jb3/7WVqS+9dZb2WuvvSgo8Go8K1asYNy4cVx66aVJj9Md/xWpi2dBdbLp5wYKZ2B6mkUNUDSrh9atBor3antDM04IWzgdGj6i+8KzheKZibdRnWyNbANFe2Kcvj8UJlSODY9J3vLbhKBwjz7fVkpK9uphPWMLxbMzkyWDTLAUmzcuectvE/RHIa9gCt5JGjHverz1PUl/ySc78cNA4R4YzaKWHGOMwYZHx98/kyjdJzOBREREBqGrr76aWCzG5MmTOfbYYxk7VmvDiYiIiIhI/zDGEDLhbMeQQWD9+vWUlpa2XU82i3rPPfdk6dKlVFdX88ADD3DOOefw3HPPZSJmRvzxj3/k29/+dsK2P/3pT0ydOhWAe+65h1/+8pdpF6l9tya1CZZC6cLu9npF2PIDUjtWXoVXRO7uWE5B59sqP9C7je7WmS5d6GVsPUqoLElRw3gztcv2TylvSoYf2n02gGGfSa2A3x+K50BwWDd5DORVQsHkzGTJtGGH0L4mbxfKD8Y4uf8L0zghGHaYd8Xa9vUNbTdF6JIFULZfd0fzivPli/o9p0i/GH40Sd8/AyVJfmeIiJ9YG8PWfoDdcD/2k99iN9yLrXkP66bY+l+GDuv695KjAoEA//mf/0lTk5bQEBERERERGawcY3x5ASgtLU24JCtSh8Nhpk2bxsKFC/nBD37AvHnzuOWWWxgzZgwtLS1UVVUljN+yZQtjxowBYMyYMWzZsqXT/tZ9ycaUlpZSUFDAyJEjCQQCXY7peIyesnTn448/Zu7cuW3X8/PzcZz20vL+++/PBx98kPQYyfiuSA1A+cFQflC8FXcH4dEw5nRMqDz1Y404Gkr37dzqNW+8d6xgYktmEyqHMad7t5WwI+xlKj+4i7yfgbJF8eL27nm/0Lu8PTB5Y2H05yE0LHGHUwDDj8KU7N1vt9VjFicMY/41Phs3IQwU7wUVJ2GMP5+CPTF5Y2D0aV08Dvkw/EhM6fys5EqHKZ0Lw46EmJtYqO7IWgiUYYYfCmUHes/5Tq/PivjzfXhmgov0kskbCaP/FUwXf3SER8O4s9QqSGQQsG4LbLgPtv4Dmj6FaDU0bYRtT8CGP2G19rzIgJszZw6rV6/OdgwRERERERGRfuW6Ls3NzSxcuJBQKMTixYvb9n344YesW7eORYu8iXyLFi3i3XffZevWrW1jnnrqKUpLS5k9e3bbmI7HaB3TeoxwOMzChQsTxriuy+LFi9vGpJKlO1VVVQlrUG/bto3Jkyd3+nnT5b9233htGyjbD1uyAJo/BTcCoWGY8Mg0juXAsIOxZft5H1TaGIRHYnYvLnb8nvAIGPtFbMt2iOwCJwR5E7pt2W2MgfL9saWteaMQGu4dZwCY/PHYsWd5bWujNV5hNH+8t15shplAIVSchI3WQvNmMA7kjcMMgTWJTf447Nh/g5at3gfgWXwc+iyvgrYW3tZCLN7+23Hai9axHdj6jzFF06BsIbZ0nveaciMQKseER2UlukhvmPxxMPFr2MZ10LjWO4GpZC4mWJLtaCLSX7b90/ubBGhfniL+35btsO1JGHNyNpKJZN0vf/lLfvzjH7N582bmzZvHL37xC/bfv+euT/feey9nnHEGp5xyCg8//HCP47///e9z+eWXc/3117Nw4UKKihJPDO7YVk1EREREREQkF11xxRUcf/zxTJw4kdraWv70pz/x7LPP8sQTT1BWVsZXvvIVLrvsMoYPH05paSkXXXQRixYt4sADDwTg2GOPZfbs2Zx11lnceOONbN68mf/5n//h61//etvs7a997WvceuutfPvb3+a8887jn//8J/fffz9/+9vf2nJcdtllnHPOOey7777sv//+3HzzzdTX13PuuecCpJSlOxMmTOC9995jzz337HL/O++8w4QJE9K+D31ZpG5lnGC/tYs2ThgKp/bue8IjoReFceOEuphVPDCMMZA3xrvkABMsgSFY5PEeh9Hexc/qP+56++6zqne9DkXeWtvG9N/rUyTTTMFEKJiY7Rgi0s9srAHqltNenO40AupXYiM1mJCKZDK03HfffVx22WXcfvvtHHDAAdx8880cd9xxfPjhh1RUVHT7fWvXruXyyy/nkEMOSfm2TjjhBABOPvnkhC4l1lqMMcRaT4gUERERERERyVFbt27l7LPPZtOmTZSVlbH33nvzxBNPcMwxxwBw00034TgOp512Gs3NzRx33HH86le/avv+QCDAY489xgUXXMCiRYsoKirinHPO4brrrmsbM2XKFP72t79x6aWXcssttzBhwgR++9vfctxxx7WN+eIXv8i2bdu46qqr2Lx5M/Pnz+fxxx9n9Oj2ulRPWbpzwgkncNVVV3HiiSeSn5+fsK+xsZFrr72WE088Me370Fjb3eKyIiIeu/05qH4zhZEGpl6qlsgiIpKTbP0q2PxwzwMrTsCUaA36oaympoaysjKq3v0hpSX5PX9DjqmpbaJ87neorq5OeVbyAQccwH777cett94KeC27Kisrueiii/jOd77T5ffEYjEOPfRQzjvvPF544QWqqqpSmkn93HPPJd1/2GGHpZRZREREREREckvrv6f/783rKCj217+nG+ua+M99r+rVv6UHuy1btjB//nzC4TAXXnghM2bMALx24bfeeivRaJQlS5YkFMR7w9czqUUkQ1LuGKBzXkREJJel+ntKv89kcKipqUm4npeX19YyrKOWlhbeeustrrjiirZtjuNw9NFH88orr3R7/Ouuu46Kigq+8pWv8MILL6ScS0VoERERERERkdw3evRoXn75ZS644AK+853v0Drv2RjDMcccw69+9au0C9SgIrWIpKJ4hrdGJ27ycfnjNYtaRERyV944wNBjETo//bV0RHJJZWVlwvWrr76aa665ptO47du3E4vFOv3DcvTo0axYsaLLY7/44ov87ne/Y+nSpWllq6qq4ne/+x3Lly8HYK+99uK8886jrKwsreOJiIiIiIiISP+bMmUKjz/+ODt37uTjj72lYadNm8bw4cP7fGwVqUWkZw2fQCwKTrwA3V0hunxh5jKJiIj0kgkWYotnQt0Kui5UGyicqvWoZdBYv359QouyrmZRp6O2tpazzjqL3/zmN4wcmWrHnXZvvvkmxx13HAUFBey///4A/OxnP+OGG27gySefZJ999umXnCIiIiIiIiLSP4YPH972b/j+oiK1iCRl3RbY9BhYCzELAcf7urVQ3fr1sAMxRdOzG1ZERKQno46CyE5o3kKnWdXhEVBxXLaSSS5yXe/iN/HMpaWlKa2jNXLkSAKBAFu2bEnYvmXLFsaMGdNp/KpVq1i7di0nnXRSh5v0bjMYDPLhhx+yxx57dHt7l156KSeffDK/+c1vCAa9f5JGo1H+4z/+g0suuYTnn3++559RREREREREcpYx7XPe/EJNYjNPRWqRAWLdKFS/A7uWQKQanDwomwPDFmJCxdmOl7qaFeC2tF+PuYm/XawFG4RhB2Y+m4iISC8ZJw87/ktQuwJq34VoLQSKoXQOFM/COKFsRxTJuHA4zMKFC1m8eDGnnnoq4BWdFy9ezIUXXthp/MyZM3n33XcTtv3P//wPtbW13HLLLZ3ajO/uzTffTChQg1fc/va3v82+++7b9x9IRERERERERHKeitQiA8C6LbDuPmjc0L7RbYEdr0LVUuykMzF5vW+NmBXNWwGHhPWoXUtim9QWiDZAqCSz2URERNJgTNArSpfOyXYUkZxx2WWXcc4557Dvvvuy//77c/PNN1NfX8+5554LwNlnn8348eP5wQ9+QH5+PnPmJL5+ysvLATpt70ppaSnr1q1j5syZCdvXr19PSYn+nhQREREREREZClSkFhkI216Axo1d7LAQa4JPH8ROPR/jh/4RJsW3CRMY2BwiIiIimebzdt+98cUvfpFt27Zx1VVXsXnzZubPn8/jjz/O6NGjAVi3bh2O4/RLvC9+8Yt85Stf4Sc/+QkHHXQQAC+99BLf+ta3OOOMM/rlNkRERERERCR7HGNw/FD/6MBveQcDFalF+pl1W2DXUhJnGieMgJad0LAOiiZlMFmaiqfBrteTDDCQPwYTLMxYJBERkb6wNuYtZ7FrGURqvE4g5fOgdBbG0UlXMnRdeOGFXbb3Bnj22WeTfu+dd96Z8u385Cc/wRjD2WefTTQaBSAUCnHBBRfwwx/+MOXjiIiIiIiIiMjAeOSRR1Iee/LJJ6d1GypSi/S35p1gIz0MMt5Maz8UqQvGQ/44aNpE14V3CyO0HrWIiPiDjTXDJ/fGl+QweCeP7YL6T2DHG9jJZ2AC+dmOKTKohcNhbrnlFn7wgx+watUqAPbYYw8KC3XSo4iIiIiIiEguOPXUU1MaZ4whFouldRsqUov0t1RbQpj+aZc40Iwx2PGfh08fgObNeOtTdyhWVxyFKZ6erXgivmRbdsHOJd7JKiYAJdOgfK4KY1lkW6ph1xJo+NR7fy6eCuV7q0vEYLTpyQ5LctjE/zZtho2PQ+WpWQgmMvQUFha2rWWtArWIiIiIiIhI7nAzsPyZitQi/S1vJAQKIdaQZJCFosmZStRnJliInXQWNHwCtR+C2wJ5I6BsLiZYku14Ir5idy2DjX9vveb9p34NbHsRO+lLmIKxWcs2VNnq9+HTR/Eej9bHZG38MfkiprAyi+mkP9loHVS/R9IlOWqWYyNHYUL6/SaA9ema1Da3M0ejUa699lp+/vOfU1dXB0BxcTEXXXQRV199NaFQKMsJRUREREREpC8MBuOzNZ4N/so7GKhILdLPjAlgR+wPW5/tbgQUVmLyR2cyVp8ZY7zCuo+K6yK5xjash41/63pnrAk+uRc7/b8wgbzMBhvCbONm+PQRuixauhH45D7vMdGM6sGhYQPdF6hbWWhYD2WzM5FIZEi66KKLePDBB7nxxhtZtGgRAK+88grXXHMNO3bs4LbbbstyQhERERERERHpqL6+nueee45169bR0tKSsO/iiy9O65gqUosMhOEHeGtTV7+D1x7bpW3dy7yRMP6U7OYTkezY/hrt7wm7sxBr9GZ5Dl+Y4WBD2I43aHt/7sR6heqqZTByUYaDycDoqUDd23Eiko4//elP3HvvvRx//PFt2/bee28qKys544wzVKQWERERERERySFLlizhhBNOoKGhgfr6eoYPH8727dspLCykoqIi7SK1PxbFFfEZYwyMPR4m/RuUzoaC8VC8B4w7Gab8OyZYlO2IIpINdavpukDdQe3qjESRuLqPSf6YWKhdlak0MtAKxkMqrZsKJgx4FJGhLC8vj8mTJ3faPmXKFMLhcOYDiYiIiIiIiEi3Lr30Uk466SR27dpFQUEBr776Kp988gkLFy7kJz/5SdrH1UxqkQFijIHCCd5FRARIbXZmbq8jOujYFB4TGxv4HJIRJlSCLZ0FNcvp+vVooGQ6JlyW6WiSq1zrXfwmxzNfeOGFXH/99dxxxx3k5XlLXDQ3N3PDDTdw4YUXZjmdiIiIiIiI9JWD/2bJ+i1vJi1dupT/+7//w3EcAoEAzc3NTJ06lRtvvJFzzjmHz3/+82kdV0VqERGRTMkfC43J1sQ1UDAuk4mkcBzUrSHpY6KTjQaXccdB83Zo3tp5X94IGHdC5jOJDDFLlixh8eLFTJgwgXnz5gGwbNkyWlpaOOqooxL+cfvggw9mK6aIiIiIiIiIAKFQCMfxyvgVFRWsW7eOWbNmUVZWxvr169M+rorUIiIimTJiP/j00yQDDAybn6k0AjB8v3gb9mRj9slMFskIEyjATj0Hqt6DqqUQqYVgCQybB+VzMU4o2xFFBr3y8nJOO+20hG2VlZVZSiMiIiIiIiIiySxYsIA33niD6dOnc9hhh3HVVVexfft27r77bubMmZP2cVWkFhERyZTSmTBsIex6C29d3NbZu4739YSTMaGS7OUbgkzJHtiRi2D7K3R+TFwYdwImPCx7AWVAGCcEwxd4F5FkXNe7+E2OZ77jjjuyHUFEREREREQGkGMMjjHZjtErfsubSf/7v/9LbW0tADfccANnn302F1xwAdOnT+d3v/td2sdVkVpERCRDjDHYscdC8WTY8QY0bgLjQMl0GLE/pmBMtiMOSWb0EdjCSu8xafjUe0yKp3qPSeH4bMcTERm0tm3bxocffgjAnnvuyahRo7KcSERERERERER2t++++7Z9XVFRweOPP94vx1WRWgac3f4WbH4eIjXehvAwGHcEZtjc7AaTtNiWKtj2BlS9D24ECsbAqP2gdE+MzjQS6ZExBkr39C6SM0zJNCiZlu0YIiJDQn19PRdddBF33XUXbnzWdyAQ4Oyzz+YXv/gFhYWFWU4oIiIiIiIiIq2OPPJIHnzwQcrLyxO219TUcOqpp/LPf/4zreM6/ZBNpFt29b2w/lGIVOO1ULXQshPW/hW77pFsx5NesnXrYPkvYevL0FIF0XqoXQ2r74V1j2BtbreWFBEREZHsu+yyy3juued49NFHqaqqoqqqiv/3//4fzz33HN/85jezHU9EREREREREOnj22WdpaWnptL2pqYkXXngh7eNqJrUMGLv9Lahe0f2AHW9jy2ZiymZkLpSkzbotsPrP4EZpX7OV9q93LoGiCTByYTbiiYiIiPQ/rUk9IP7617/ywAMPcPjhh7dtO+GEEygoKOD000/ntttuy144ERERERER6TNjjO86r/otbya88847bV9/8MEHbN68ue16LBbj8ccfZ/z49JdLVJFaBs7m53ses2kxqEjtD7veh1hj8jFbX8aO2Edv5iIiIiLSrYaGBkaPHt1pe0VFBQ0NDVlIJCIiIiIiIiK7mz9/ftsJB0ceeWSn/QUFBfziF79I+/gqUsvAaV2DOpmmHQOfQ/pH/Xq8FQKSzMxp3gFuMwTyM5VKRERERHxm0aJFXH311dx1113k53t/NzY2NnLttdeyaNGiLKcTEREREREREYA1a9ZgrWXq1Km8/vrrjBo1qm1fOBymoqKCQCCQ9vFVpBaRFKU6O1qzqEVERESkezfffDOf/exnmTBhAvPmzQNg2bJl5Ofn88QTT2Q5nYiIiIiIiIgATJo0CQB3gJYVU5FaBk7ecG9mbTIFYzKTRfquZArseCvJAAMFozGBvIxFEhERERlQWpN6QMydO5eVK1fyxz/+kRUrVgBwxhlncOaZZ1JQUJDldCIiIiIiItJXTvziJ37Lm2mrVq3i5ptvZvny5QDMnj2bb3zjG+yxxx5pH1NFahk4Y4+CtfcnHzP+mMxkkb4rmwmhEojUAbaLARYqDs50KhERERHxkUgkwsyZM3nsscc4//zzsx1HRERERERERHrwxBNPcPLJJzN//nwOPtirA7300kvstddePProoxxzTHq1PhWpZcCYYbOxtfvCjje7HjD6UEzxpMyGkrQZJ4jd499g5R8g1tBhT3yd6tGfgWFzshVPRERERHwgFArR1NSU7RgiIiIiIiIikqLvfOc7XHrppfzwhz/stP2///u/0y5Sa/a6DCgz8V9gj7OgYCyYoHcpnADTz8OMOzLb8aSXTMFomH0RjD8OiiZA/mgYPhdm/Adm3NEYo/WoRURERCS5r3/96/zoRz8iGo1mO4qIiIiIiIiI9GD58uV85Stf6bT9vPPO44MPPkj7uJpJLQPOlO4Bpen3pJfcYoIFULHIu4iIiIgMZlqTekC88cYbLF68mCeffJK5c+dSVFSUsP/BBx/MUjIRERERERHpD8YY301q81veTBo1ahRLly5l+vTpCduXLl1KRUVF2sdVkVpE0mKjTRCth2ChV7gWEREREUlBeXk5p512WrZjiIiIiIiIiEgS1113HZdffjnnn38+X/3qV1m9ejUHHXQQ4K1J/aMf/YjLLrss7eOrSC0ivWIbt2HXPwU73wMsYLDDZmEqj8EUjsl2PBERERHJcXfccUe2I4iIiIiIiIhID6699lq+9rWvceWVV1JSUsJPf/pTrrjiCgDGjRvHNddcw8UXX5z28VWkFpGU2YbN2PduBzeCV6DG+++uFdjqlTD7q5jiCdmMKCIiItJ/XJvzrbO75Nqex2SB67r8+Mc/5pFHHqGlpYWjjjqKq6++moICdeUREREREREZTBxjcHzWPttveTPBWu/zBWMMl156KZdeeim1tbUAlJSU9Pn4Tp+PICJDhl31ILgtwO4f1rrgRrGrHmh70xIRERER6eiGG27gu9/9LsXFxYwfP55bbrmFr3/969mOJSIiIiIiIiLd2H2t7pKSkn4pUINmUotIimzDZqhfn2wENG6B+k+huDJjuURERETEH+666y5+9atf8Z//+Z8APP3005x44on89re/xXF0/rSIiIiIiIhIrpkxY0anQvXudu7cmdaxVaQWkdQ0bk9x3DYVqUVERESkk3Xr1nHCCSe0XT/66KMxxrBx40YmTNCSMSIiIiIiIiK55tprr6WsrGxAjq0itYikJhBOcVzewOYQERERyRTX5uz6zknlaOZoNEp+fn7CtlAoRCQSyVIiERERERERGQgmfvETv+XNlC996UtUVFQMyLFVpBaR1JROgUA+xJq6H+OEoWx65jKJiIiIiG9Ya/n3f/938vLaT2psamria1/7GkVFRW3bHnzwwWzEExEREREREZEOemrz3VcqUotISowTgvFHYtf9vfsx4w7FpDrjWkRERESGlHPOOafTtn/7t3/LQhIRERERERER6Ym1A9upTUVqEUnd2M94M6k3PONdNwZa36TGHgLjj8heNhERERHJaXfccUe2I4iIiIiIiIhIilzXHdDjq0gtIikzxmAqj8GOPgC2L8W21GBCJTByHiavPNvxRERERPqX63oXv/FjZhERERERERk0jDED3iq6v/kt72CgIrWI9JoJl8K4Q9FbtoiIiIiIiIiIiIiIiPSWk+0AIiIiIiIiIiIiIiIiIiIydGgmtYiIiIiISFesT9t9Wx9mFhERERERkUHDARyf9WLVrN7M030uIiIiIiIiIiIiIiIiIiIZo5nUIjnExlpg2zLsjg/AjWJKJsDYAzB55dmOBoB1Y9jt78GmV6BhK2AgkAfBAgiXYIbvCaP3wQTysh1VBADXdWHt47DxJYi1gBOC0fvCHqfgBAJdfo9t2oXd9CrUbQQnhBkxGyrmY5z++5VpW2ph02vYmk/ABAbktWMjjbDlDWzVKsBiyvaAMfthQoX9dhsiIiIiIiIiIiIiIulQkVokR9j6Ldhlt0NLNWAA6xWrP3kK9vwSZsy+2c3XXINdehs0bul+zPZ3YM0/YN5/YorHZzCdSGdutBFevgbcSPvGWAw2vgibXsE98EqcvNKE77EbX8F+9EDrNcBgty31ntfzL8AUjOxzLrttGfaDe+KtWK23rZ9fO7ZqFfbd30KsuX3b9ve925j7Fcyw6X2+DRERERERERERERGRdKndt0gOsLFIvEBd27ql/b/Wxa74M7Z6TbbiYa31Cl5JCtRtIvXYZbdjo00DH0wkmddvTCxQd2Rj8PoPEzftWon96C94r78Or0GA5mrvee3G+hTJ1m7AfnC3d/tttxHXT68d21yFfec33szxxD3gRrDv/hbbtLNPtyEiMlRY6/r2IiIiIiIiIpItxvjzIpmlIrVILti2ND6DupsPFI3Brn8mk4kSVa+Cuk9THGwhUg9b3hrQSCLJuA3b46+pJGJNuLs+brtq1/2T7n8tutC0E7a/16dc9tPnku2Nv3be7NttbHwlXpy3Xe0FN4bd8HKfbkNEREREREREREREpC9UpBbJAXbHcrwW390NcGHHcqztqug08HrM1+X3vD8wYURS8cmTqY1b9xTgrbfOrg/p9kQRAByvBX9f7Hg/3ua7e3Z7H29j+7t0XaBu5cbHiIiIiIiIiIiIiIhkh4rUIrnARkleVKLr9sCZ4kbpbZHa+x6RLOmuzffuYvHnaUptUW38tdoHqbQLTzV7n25Dr08RERERERERERERyZ5gtgOICJjiCdjt79N9EdpA0ViMyc55JaZkAjbpDNNO3wEllQOWR6RHo/aBbct6HjdyDgAmEMIWjILGbUmHm74+r0vGQ/Vaun+tO1A6sW+3UToRmnZ0X3g3DpRO6tttiIgMFa7rXfzGj5lFRERERERk0DDG4PhskWfjs7yDgWZSi+SCsQdC0jdAi5lwaMbidDJqHgQLevUtZtyiAQoj0jOnYi6YQA+jDM7EI9qv9fQaMwEYs1+fcpnxh5K8I4Lt82vHjP9M8pnh1vXGiIiIiIiIiIiIiIhkia+K1DbWgt3wCu6KB3A/ehi76+OsrdEr0p9MXilm5hl4LbU7vizjheuKBTBm3ywki6cIhDF7/TvQc9EPwMz4V0zByIGOJZLc3K8k3z/zS4nXxx4II+d2HmccwGBmn4kJFfUt06i9vdvxDtxhh/e674/XjimdhJlyfBe3Ef960rGY8ql9ug0RERERERERERERkb7wTbtvu/0D7Du/h2hTfHacxa59Gsomw/z/xOSVZDuiSJ+Y0QshfwR2/bOw4wNvDericZjxh8CYfbPW6rst37DpsN83sZ88CVvfgbb23wawXiFv+CxM5eGY8j2ymFTE4wyfibvgG/D+H6Clqn1HqARmfhlnxJ4J440TgL3OgU2vYTe8CPWbwQnAiDmYyiMwpX1vYW+MgRlfgPI9sJ++ALXr46+dmZjKwzDl0/p8GwBm0jFQPB67/jmoXuVtLJ3ivT5H7tUvtyEiIiIiIiIiIiIiki5fFKltzXrskv9rb19qY+07a9Zh3/4lHPjtrBfxRPrKlE3GlP07ANbanFsDwRSNwcw+G2bT1sXAGJPwtQxttrkGtn8AbtRbf7lsclafF07ZJDjoKgDcWAwnkLwbgDEOjFuEGbdowF6DxhgYvRAzeuGAvnbMiNmYEbP1+hQR6QutSS0iIiIiIiLSayb+Pz/xW97BwB9F6rVP463h2UVrb+tC7aewfTmM0uwwGTxyvaDUMV+uZ5WBZ2MR7Iq/wIZXSHivLh4Hc8/BlIzPWrZWPRWod5eJ5/VguQ0RERERERERERERkd7I+anH1rqwZUn7LOquGAe7ZUnmQomISBtrLfadOzoXqAHqNmPfuBnbsD0r2UREREREREREREREJPfk/kxq6yYvUANYC7HmzOQREZFE1Wth2zvd7HQh1oxd+zRm9pcymUpERKTvXOtd/MaPmUVERERERGTQMMa7+Inf8g4GOT+T2jhByB/W0ygoGpORPCIikshuegNMkl8n1oWNr7WtjSwiIiIiIiIiIiIiIkNb7s+kBkzlodiVj9DlmtQAWMz4RZmMJDKk2cZdXtGxqRqTVwrj98cUjMh2LMmWljqvo0UybsS7BMKZySQiIiIiIiIiIiIiIjnLF0VqJh4GW9/xWsomFKoNYDF7fg5TMDw72USGEGst9qP/B6ue8DYYx1s3/qNHsFOOwsz8PCbZjFoZnPLLvV4oyQrVwQJwQhmLJCIiIiIiIiIiIiIiucsXRWoTCMO+F2HXPAnrn4dIg7ejtBIz5TjM6HnZDSgyVKx+ElY93n7dxtq/XvO0V4icfmLmc0lWmfGLsJ/8M8kIByYcjNGiHiIi4jeu6138xo+ZRUREREREZNBwMDj46/Ngv+UdDHxRpAavUG2m/Qt26vHQUgNOEBMuyXYskSHDxlqwq/6RfMzqJ2DKUZhgfoZSSS4wxWOxlYfB+ue62OlAXhlm8lGZDyYiIiIiIiIiIiIiIjnJd315jRPA5A9TgVok03auhGhT8jGxFti+IjN5JKeYmadhpp8MwcKOW2HkHMz+39R7toiIiIiIiIiIiIiItPHNTGoRybKeCtStYs0Dm0NykjEOTDkWJh0BVWvBjUDxOEx+ebajiYiIiIiIiIiIiIhIjlGRWkRSUzymf8fJoGScEAyfnu0YIiIi/UNrUouIiIiIiIj0mjEGY/y1xrPf8g4GKlID1lrYuQq7ZRm4EUxpJYzbFxPMy3Y0kZxhSsZjy6dA9Sdgu/rg00DJeCidmPFsIiIiIiIiIiIiIiIi4h9Dvkhtm2uxr98Ku1aDcQCDtTF47z7Y96uYijnZjiiSM8zcf8O+8mNv7emOhWrjgBPE7H22zjYSERERERERERERERGRpIZ0kdpaF/vqzVDzaXxDh6JbtAn72q1w6HcxZZoZKgLebGoOugK78jHY/Fb8NePA6AWY6SdiSsZlO6KIiIhI/3GtP1tnuzbbCURERERERGQIM8a7+Inf8g4GQ7pIzdb3oHpdNzstYLEfP4FZeH4mU4nkNFM8GrPgK9jomdBSB+FiTDA/27FERERERERERERERETEJ5xsB8gmu/HteIvv7ga4sPEtbJfr74oMbSaYjykcqQK1iIiIiIiIiIiIiIiI9MqQLlITawLbQys8G0tsAy4iIiIiIiIiIiIiIiIiImkb2u2+i8d6TeaTFaoLhmOcoX03iYiIiIgMSa7r0zWpfZhZREREREREBg0Hg4O/Fnn2W97BYEjPpDYTP9PDTGqDmXxExvKIiIiIiIiIiIiIiIiIiAx2Q7tIXTgCs9cXWq/tvheGTYGpR2Y6loiIiIiIiIiIiIiIiIjIoDXk+1ibPY6BghHYlX+D6nXexlAhTD4cM/0ETCCc3YAiIiIiIiIiIiIiIiIiIoPIkC9SA5hx+2DG7YNtqgE3AvllWodaRERERGSo05rUIiIiIiIiIr1mjMEYf63x7Le8g4EqsR2Y/NJsRxARERERERERERERERERGdSG9JrUIiIiIiIiIiIiIiIiIiKSWSpSi4iIiIiIiIiIiIiIiIhIxqjdt4iIiIiISFesT9ektj7MLCIiIiIiIoOGg/9myfot72Cg+1xERERERERERERERERERDJGRWoREREREREREREREREREckYtfsWERERERHpimu9i9/4MbOIiIiIiIgMGsYYjDHZjtErfss7GGgmtYiIiIiIiIiIiIiIiIiIZIxmUqfJRpqw616D6o0QzMNM3A9TXpntWCIiIiIiIiIiIiIiIiIiOU1F6jTYda/jvvobiDaDCQAW+97DMH4+zkH/hQnlZzuiiIiIiIiIiIiIiIiIiEhOUpG6l+yWFbgv/hKIr/NmY+07N76D+9IvCRz+zaxkExERERGRfuS63sVv/JhZREREREREBg2tSS2p0JrUveS+9xB090S1Lmxcht25NqOZRERERERERERERERERET8QkXqXrAt9bBluVeM7o5xsOveyFwoEREREREREREREREREREfUZG6NyJNPY8xBqKNA59FRERERERERERERERERMSHtCZ1b+SXQjAPos3dj3FdKBmbuUwiIiIiIjIwtCa1iIiIiIiISK85+G+WrN/yDga6z3vBBEKYPQ4Dk+RucwKYKQdlLpSIiIiIiIiIiIiIiIiIiI+oSN1LZs6pUDyqi0K18f5//3Mx4aKM5xIRERERERERERERERER8QO1++4lk1eMc+xV2Hcewq5+HmIt3o4RU3DmfA4zfl52A4qIiIiISP9Qu28RERERERGRXjPGYIzJdoxe8VvewUBF6jSYvBLMfmdjF3wJGndBMA9TUJ7tWCIiIiIiIiIiIiIiIiIiOU9F6jgbacJu+RBiEczwSZiSUT1+jwmGoWR0BtKJiIiIiIiIiIiIiIiIiAwOQ75IbV0Xd8lfcd/9O0Sb2rabCfMIfOY/MMUjs5hORERERERERERERERERGRwGfJF6thLv8V++Eyn7XbDu0QfuZrgqTdgCsszH0xERERERLLKxiw2ZrMdo9f8mFlEREREREQGE4PBb2s8+y2v/znZDpBNdscnXRaovZ0uNFbhvvu3zIYSERERERERERERERERERnEhnSR2v3oWTBJ7gLr4n74DNZqJoKIiIiIiIiIiIiIiIiISH8Y0kVq27ALeipAt9SDG81MIBERERERERERERERERGRQW5Ir0ltCsqwxgEb635QMB+cIX03iYiIiCSwdTuhuQ6Kh2PyirMdR2TguNa7+I0fM4uIiIiIiMig4Rjv4id+yzsYDOnqq5l2CHzwZPIx0w/BGD0z+8ru+hS7eSUYBzN+L0zJyGxHEhERkV5yN7xP7PX7YPOH3gbjYKYeQODAMzClo7MbTkRERERERERERHxjSBepyS8FFzAWdi9EWwsYCBVkI9mgYet2Elt8K3bj+x22GszU/Qkc/jVMXmHWsomIiEjq3DVvEnviJ4kbrYtd/RrRT98leNoNmLIx2QknIiIiIiIiIiIivjK016T+8Nn4F3S9NrVrsStfzGSkQcU21xN9+CrspuW778GueYPoYzdgY1rvW0REJNfZWJTYs7d7fy/t/jeTdaGlgdjLd2cnnIiIiIiIiIiIiPjOkJ5Jbas2egVq8P5rbPvXrep2YGNRTGBI31VpcT94Gmq3k3iHxlkXtn6MXfsmZo8DM55NREREUmfXvgVNtUkGuNi1b2EbqjCF5RnLJTLgYta7+I0fM4uIiIiIiMigYeL/8xO/5R0MhvRMakL5iW2+LZ3rqU4AnKF9N6XLXf4MXRaoWxkHd8VzGcsjIiIi6bHVm8D09PeQxdZszUgeERERERERERER8bchXX11puzvzejtjnEwUw7A9PihrHSpqSb5futiG3ZlJouIiIikL1zY9dIouzHhwgyEEREREREREREREb8b0j2sTeV8GDkZdqzrolhtwBgC80/OQrJBomgENNd3v984mJJRmcsjIiIiaXGm7o/74h3JC9Xl42DY+MyFEskAay3W9V/rbJvCSSUiIiIiIiIiA8UxBsf4q3223/IOBkN6irBxHIInfBdG7RHfEPDaewOECwh89tuYkZOzls/vnNlHQbIe/tbFmXVkxvKIiIhIekxhOWbOcUnHBPb/EkZ/zIuIiIiIiIiIiEgKhvRMagBTUErw1OuwWz7CfvIWRCOYkZMwUxdhQnnZjudrzswjcJcvhp2fdjlT3Uych5k4LyvZREREpHcCB51FzMaw7z3lnYNmHHBjEAwT+My5OHsckO2IIiIiIiIiIiIi4hNDvkgNYIzBjNkTxuyZ7SiDignlETzlamIv3In9+KX2QnUghDP7aJxFZ2q9bxEREZ8wToDgIV/BLjgF9+NXoLkeUzIKM+0gTLgg2/FERERERERERETER1SklgFl8ooJHn0h9qCzsNtWg+NgRk/HhAuzHU1ERETSYIpHEph/UrZjiGRGDIj5cH3nWLYDiIiIiIiIyFBmjHfxE7/lHQxUpJaMMIVlmEkLsh1DRERERERERERERERERLJMvZZFRERERERERERERERERCRjNJMacJsbiL30R+zqN8GNYYaNJ3DoWTijp3X7PbZqM7H3FmN3fooJ5eNMPxAzdV+ME8hgcsl17vZ1uO8vxlZvweQV48z8DGbi3r5bi9tai7tuGe5rD2J3roeWJq/3RX4RzsR5OJ85E6doWLZj9jtrLXbDB7jLn8c2VmOKR+DsdSTO6D2ym6ul0cu0/l2stTjj9sTZ6whMfklWcw0Wtm4H7nuLcbetxQSCmKn74Uw7EBMMZTuaiIiIiIiIiIiIiMig4K9K2QBw171L9LZzsMseh9rtUL8L++l7RP/030Se/GWX3xN76xEid3wd982Hsatex/3wRaKP3kjknsuxdbsy/BNILrLWEn3+LqJ3X4q75O/YVW/gLn+O6IPXE73/SmxzfbYjpsxGm4k8cDWxB6/HbngfGmsg1gLRZqjbifvBM0R/fT6xD57NdtR+ZaPNRP/fD4j+5SrcD57xHsN3niT6p28TefKXWDc7iz26m1fy/9m77/goyvwP4J9nZks2vUFC7yBNUFDEXlBULNh71ztPPet56p2nd3qnnr2f3tl/duy9gYgKgiIoRVSkd0hvW2ae5/fHJEtCsiUkO7O7+bx5zYvs7JPsJ8nsJpnvPN8n9MTFMGf8F/LXb6CWz4U56zmE/vd7yNULHcmUTswlM6yv7zfToJbPhfxlDswP70fo2T9CVW50Oh4REdnNlKm7ERERERERETlEpOi/9rj99tuxxx57ICcnB927d8fUqVPx888/txjj9/tx6aWXoqioCNnZ2TjhhBOwefPmFmPWrFmDKVOmIDMzE927d8e1114LwzBajJk5cyZ23313eL1eDB48GM8880yrPI888gj69++PjIwMTJgwAfPmzWt3Frt16SK1DDbAeOMWQLV9EkctmQFzwXst3+fXOTBnPds4QLb8v3wdjLdvg1IqUZEpRcgfPoSc/7Z1Y4fjRG38BcaHDzqUrP1Cnz0OrFsSY5SC+fFDkFtW2pLJDsaMJ6BWfW/daCpIN30Pl8yAOfc12zOp+ioYr98CBOub9mzfjCCMt2+Hqthge650IdctgfnJI9b3ecfX95oyhF6/BcoMOReQiIiIiIiIiIiIiJLCF198gUsvvRTffPMNPv30U4RCIRx22GGoq9s+SfGqq67Cu+++i2nTpuGLL77Ahg0bcPzxx4fvN00TU6ZMQTAYxOzZs/Hss8/imWeewU033RQes3LlSkyZMgUHHXQQFi5ciCuvvBIXXnghPv744/CYV155BVdffTVuvvlmfP/99xgzZgwmT56MLVu2xJ3FCV26SG3OfiligTo8Zu7rLW/Pe8Nqc9wWJaG2rIBav7SzIlIKUtK0jpPIA6BWfgdVvs6+UDtJ1VUAP82Ke7w55+UEprGPqquAWjoTiHLBifz+XSgjYF8oAHLxdCDUEOF1SwFSwvzhI1szpRPzu7eBSK34lQSqt0Aun9f2/URERERERERERETUZXz00Uc499xzMXLkSIwZMwbPPPMM1qxZg/nz5wMAqqqq8OSTT+Lee+/FwQcfjHHjxuHpp5/G7Nmz8c033wAAPvnkEyxduhTPP/88xo4diyOOOAK33norHnnkEQSDQQDAY489hgEDBuCee+7B8OHDcdlll+HEE0/EfffdF85y77334qKLLsJ5552HESNG4LHHHkNmZiaeeuqpuLM4oUsXqdVv38Ye1FANKa1p9aq+CmrLiqiFK2g65IrvOikhpSJVthaoi9H2XQjIld/bE6gD5OofYM3UjY9a/UPiwthIrv4h5gUsCDZAbfjFnkCN5G/zor/+KAm5fK59gdKIUtKaOR/t+y40KL6+ExF1KUqqlN2IiIiIiIiInKJBQBMptrWz3feOqqqqAACFhYUAgPnz5yMUCmHSpEnhMbvssgv69u2LOXPmAADmzJmD0aNHo6SkJDxm8uTJqK6uxpIlS8Jjmn+MpjFNHyMYDGL+/PktxmiahkmTJoXHxJPFCS7HHjkZxLumrGEAHhcgjdhjAYDtYLs2M57jRMQ5zmHtzRirsJsq4n0O2/1cj+fx+Pqzc6SMfgEAAEDx60tERERERERERESUxqqrq1vc9nq98Hq9Ud9HSokrr7wS++yzD0aNGgUA2LRpEzweD/Lz81uMLSkpwaZNm8Jjmheom+5vui/amOrqajQ0NKCiogKmabY5ZtmyZXFncUKXnkktivvGHqS5oHkyrLcz8wFfbvTx0oToPrDD2Sh1iYKegO6OPkhJiO4D7AnUAdGOZaVUeAvL72FDqsSL7zksILr1S3iWFo9YOiRyO2oAEBpEyWD7AqURobuAgl5AjKvl+PpORERERERERERElL769OmDvLy88Hb77bfHfJ9LL70Uixcvxssvp8eSqHbp0kVqff9zYo4Rgydsf1vToY85IvKa1BCAJxPa0H06KSGlIuHNhDbiwMjFRKEBud0h+o2xNdfO0EoGAsUtC7FKKShDAoYKb8qQUEpBn3CiQ0k7l1YyyCpGRvkeikF7QGQX2Ztr18nRZ6srCX3sEfYFSjP6blMQtb290KCNOsS2PERERERERERERERkr7Vr16Kqqiq83XDDDVHHX3bZZXjvvffw+eefo3fv3uH9paWlCAaDqKysbDF+8+bNKC0tDY/ZvHlzq/ub7os2Jjc3Fz6fD8XFxdB1vc0xzT9GrCxO6NJFaq2oD8TYKZEHZBVAn/zHlu+zx1SInsPRarad0ABNh+uoayDc0af9U/rT9z0LKOzd+oIGoQEuD1xTroGINiM2ibinXAO4rW4CSjUWpnes4ykApkibmdQA4DriSsCb1bpQLTQgpxiuQ35neyat+wDr2GrK0TwTAG33oyH6jbU9V7rQRk+CGLRn461mz12hAUJAP/xyiMw8R7IREZFDTJW6GxEREREREZFDRIpuAJCbm9tii9TqWymFyy67DG+++SZmzJiBAQNads8dN24c3G43pk+fHt73888/Y82aNZg4cSIAYOLEiVi0aBG2bNkSHvPpp58iNzcXI0aMCI9p/jGaxjR9DI/Hg3HjxrUYI6XE9OnTw2PiyeIEoVTMRTjTnrn4M5izXwHqyq0dugtiyEToh14KzdW6bbMyQpA/fgxz4QdA1WZAd0MM3Rv6uGOgdetvb3hKWirYALngfZg/fgzUlgPuDGjD94c+7liIfOeuTNkZqqYMxqxnIJd8FXmQ0CCK+8J97r0QEbsNpBZVUwbz+3cgl8wAAvWALw/arodC3+0oCF+OY7nkqgUw578NtXYxoADRYwj03Y+GGDIxbb72TlHShFwyA+aC94GytYCmQwzcA/r4Y6H1GOp0PCIiskl1dTXy8vKw7b7jkeuLsYxLEqpuCKH4qjdQVVWF3NwYyxURERERERERdZKmv6fnrPwPsnN9Tsdpl9rqBkwc8Ie4/5a+5JJL8OKLL+Ltt9/GsGHDwvvz8vLg81mf+x/+8Ad88MEHeOaZZ5Cbm4s//tGaGDt79mwAgGmaGDt2LHr27Ik777wTmzZtwllnnYULL7wQt912GwBg5cqVGDVqFC699FKcf/75mDFjBi6//HK8//77mDx5MgDglVdewTnnnIPHH38ce+65J+6//368+uqrWLZsWXit6lhZnMAidTNSSgASmuaK+32UkgAEC0MUlVIyZWZORyK3rUHoqStijnOfdRe0Hum3LnIyfg+tl2+VdLnSBV/fiYi6LhapiYiIiIiIiNqvKxWpI503fvrpp3HuuecCAPx+P6655hq89NJLCAQCmDx5Mh599NEWLbZXr16NP/zhD5g5cyaysrJwzjnn4I477oDLtb1WOXPmTFx11VVYunQpevfujb/97W/hx2jy8MMP46677sKmTZswduxYPPjgg5gwYfuSxvFksRuL1EQUF/PnOTDevjPmONeUK6CPPDDxgYiIiIgShEVqIiIiIiIiovbrSkVq6rj4pwwTUZcmPBnxDXTHOY6IiIgo2UllbakmFTMTERERERFR2tCEgJZiHSpTLW86YI9YIoqL6DMS8GRGH+TyQus/xp5ARERERERERERERERElJJYpCaiuAiXB/rEE6OO0fecCuFJrRYeREREREREREREREREZC8WqYkobvqeU6FPOB6AAIQGaLr1PwB9/NHQ9znZ2YBERERERERERERERESU9LgmNRHFTQgB1wFnQd/tCBjffwBUbwOKesE16iCIvO5OxyMiImoXZYQAfy2QkQXh8jgdh5KQMhWUmXrrO6diZiIiIiIiIkofQgiIFFvjOdXypgMWqYmoXUIznoc5720g6Ld2CAG1cglcJ10PzRtjzWoiIqIkICs3w5j1CuSimYAZAjQXtJH7wrX/qdCKejkdj4iIiIiIiIiIKO2x3TcRxS346m0wv3ple4EaAJSCXLEAwQcugAzWOxeOiIgoDrJsPYL/uwryx+lWgRoApAG5ZJa1f9MKZwMSERERERERERF1ASxSE1FczDVLIZfNiTzAXwvjrQfsC0RECSFDAciKTZChoNNRiBIi9O5DgL8OkLLlHVICoQBCb98PpdgqmRopaR0bqbYpGftzIyIiIiIiIkoQkaIb2YvtvokoLsb0Z2KOkb/MTXwQIkoIc+UiBN99CCjfEN4nuvWF+9jLoffexcFkRJ1Hlq2HWrMk8gAloTavhNq4HKLnEPuCERERERERERERdTGcSU1EcVEVm2IPkiZkU+tUIkoZxrJvEHz2hhYFagBQW9cg+MS1MFf84FAyos6ltq7p1HFERERERERERES0c1ikJqL46O64hgmNDRqIUk3o9bui3KsQfOU227IQJZQ7I85x3sTmICIiIiIiIiIi6uJYTSKiuOgj9oE5583og/K6Qwiu3ECUSoxFXwChQPRBgToYy7+Ha/Du9oQiShCt30jAmwkE6iMP0t3QBu5mXyhKbqaytlSTipmJiIiIiBymlIKp6iFhwiUyoQmWT4h2liYEtBSrFaRa3nTAV1kAyjQhl30Dc9lcwAhB9BgI1+6HQmTnOx2NKGnoB54Bc+67gDQijnEdco6NiYioM8iVPza7IQGz2Z06AM1quqJW/gCwSN3lSSlhzn0P5rwPgEADkFsE16QzU+YCBuHywLXPiTBmPBdxjL7XsRAZWTamIiIiIiIiIqfVGetQGVyCkKwEAAjoyHL1R4F3NHTBbltERInQ5YvUsmIzgk//FapsA6DpgJLAolkwPvs/uE+4Cq4xBzkdkSgpaG4vPOffieDT1wFtrDut738aXKP2dyAZEXWE8PpaF6ebmABMaRWrPT6bk1GykTUVCDxwMdBQs31n1VaEnr4RRt/h8Fx0FzQt+VeS0fc5Eaq+GuY3bwFCA4QAlAKUhLb7ZLgOOtPpiERERERERGSj6tBylAfmt9inYKLWWAG/uRk9MiexUE1ElABdukitTMMqUFdssnbIZmfoTQOhaXdD5JdA7zfCmYBESUbrOQSeG16FOfsNyCVfAqYBUToIrkPPh5ZT6HQ8ItoJ+oRjYMx6I/ogE9DHH2FPIEpagUevaFmgbkat+QmhV++E99TrbU7VfkIIuA+7APoeU2D+MAOoKQOyC6CPPhBacW+n4xEREREREZGNTOVHeeD7CPcqGKoOVcGlKPRyWSgios7WpYvU8qdvrBnUkQgBY9Y06GfdbF8ooiSnaS5o+54M7Huy01GIqFPEuW6pGbnVP6U/87eFQPW2qGPk4i8hjauhuTz2hOograAU2oGnOx2DkpySCkqm3vrOqZiZiIiIiMgJtaHViH5uRKEmtAIFnjEQIvm7hxElCwFAILXWeE6ttOmhS7+qmsvmhtfabJOUkD9/CyWlfaGIiIhsZH7zfnzj5sY3jtKT8c17sQcpBbl0TuLDEBEREREREXWSkKxBrNKUggFTBewJRETUhXTpIjVCAWsNwmiUbNkGnIiIKI2ooL9Tx1GaCsX5x7i/PrE5iIiIiIiIiDqRJtxxjuvSTWmJiBKiSxepRY9BsUZAFPWEcMX3g4qIiCjVaIPjW1NJG7x7gpNQMtP6jYxv3KAxCU5CZDNTpe5GREREREQxZbn6IHq7bwGfXhp3MZuIGglApNjGft/269JFatf4w4AY60i4Jh5jUxoiIupsyjRgLPgc/sevQ8OdF8D/2J9hzP8Mygg6HS1puEZMBDy+6IMysuAaNt6eQJSU9P1OiPk7EwpKoRX1tCcQERERERERUSfw6oXw6T0QrTqV54nvwm0iImqfLl2kFtkFcB9/JaxLOnb8UghoQ8dB33OKA8mIiKijVKABgcf+jOBL/4ZcsQhq23rIlYsQfOVu+B+5Gqqh1umIScNzxl8R8Y8xIeA542+25qHko7nccE+9PMoAHd5zbrEvEBEREREREVEn6ZYxEZl600XX26dTanCje8Y+yNCLHctGRJTOuvxCCq7dDoHI7w5j1muQv34HKAVR2AOuiUdDn3AUhK47HZEoqcj1yxH68i2Yy+YBSkLrNxzufadCHzrO6WhELQTfehRyzTLrhpKN/1vtm9SGFQi+/gC8Z/7VoXTJRR+8OzwX34vQWw9CbVoZ3i96DIRn6hXQeg9xMB0lC9f4w4CcfITeexwo3xjeL/oOh+eka6EVljqYjoiIiIiIiGjnaMKN7r59EZRVqDfWQykDbi0Xma4+0ATrA0REidLli9QAoA8YDX3AaCjTBKQJ4fY4HYkoKRkLPkfw5TutzgPSBADIX+YjsOxbuA45DZ7J5zickMiiaithLpixvTjdaoCEuegryMqt0PK72RsuSel9hkE75xYE588AyjcBhaXwjDsYIrfI6WiURFzD9oRW3Aeh72cA1eUQ3fvCPe5giMwcp6MRJUaqru+cipmJiIiIiBzm0fLg8eQ5HYMoLYjGf6kk1fKmAxapmxG6DnDmNFGbZPkmBF+525qJqsxmd1hFQGP6S9D7j4TOdWspCZirfwpfSBGRUpArF0Pb7SB7QiUxpRRCHz8H47OXAChA0wFpouH9J+GadBrck8+GEPwlratTpoHg6w/BnPuhdbGSpgGmCeO9/8J97MVw73200xGJiIiIiIiIiIgoRXTpNamJKH7G3A/CrZLbpGkIffWWbXmIoop2rFIrxsxpMD59wZp5rhRgGo0XpEgYn74AY+Y0pyNSEgi+/RjMuR9ZN5S0jhMowAgh9PpDMBbMdDIeERERERERERERpRAWqYkoLnLV0sitkwFASmsMURLQ++1izfSMQes/woY0yU2FAgh99mLUMaHPXoQKBWxKRMlIVpXBnP0egMgXgIQ+ehaKF4gQERERERERERFRHFikJqL4aHG8XGhsl0/JQeQUQh+zf+RCtaZBG7EXtIISe4MlIfnrQsBfH32Qvx5y+Q+25KHkZC6ZHbNDgdq2HmrTKnsCEdlESZWyGxEREREREZFTRIr+I3uxSE1EcdGHjgeirUmraVyPmpKK57jLIHoOtG6Ej13rf9GtD7wnXe1MsCSjAjEK1E3j/HUJTkJJzd8AaLF/UVexLnggIiIiIiIiIiIiAuByOgARpQbXHochNP0lIORvezadUnDtN9X2XESRCF82Mi65F+aCGTDmfQRVtc2aYb3nZLh2PwTCk+F0xKSgdevdqeMoPYluvQAZZckHABACWlEPewIRERERERERERFRSmORmojiIrLz4b3gVgSe/FvLQrWmAQrwnHQV9D7DnA1JtAPh9sC15+Fw7Xm401GSlug1GKLnQKiNq9ped15oED36Q+s9xPZslDz0EROArDygrhptrkvd2EJf5Bbano2IiIiIiIiIiIhSD4vURBQ3fcAo+K5/Gsa3H8Nc9h0gDWj9R8K115HQino6HY+IdoIQAt6Tr4b/kWsAM9RytqymAbob3pPZGr2rE7oL3tOuReCpmwAlWl7QoGlAZg48x/zeuYBEiWJKa0s1qZiZiIiIiIiI0ocAUm6J51TLmwZYpLaRrNgCc9EcqKAfWmk/6MP3gNB1p2MlnFIKctVPkCuXABDQho6F3nuw07FoJ4nsfLgPOgXug05xOkqXZq7/DfKXBYBS0AaMhNZ/OES0NcNtIjethvnTd4A0ofUdBm3wrkmRq6sy1/wCufxHAAraoNHQ++3S5jitz1BkXPEggu8/CfnTvO37h42HZ8oF0HoMsCkxJTN9+J7w/uFu6zhZsdiaUK1r0HfdH56jLoRW0N3piO2i/PUwfvwKqqocIrcQrl33gfBlOR2LiIiIiIiIiIioS2CR2gYqFERg2oMw535s7RACkBIirwjes2+APmSso/kSSZZtRODJWyDX/QoIzdqpJLSBo+A972/Q8oqcDUiUYlR1BfzP3GoVHps/p3oNgvf8m6F1c2ZGu6qvgf/Z260Cp2i8TE5JiJI+yDj/Zmg9+juSq6uSFVsRePoWyFU/tTxO+g6D9/yboBWWtHof85eFMH9aAISkNTNWSpg/LYA5ZCGL1AQAUFLCXDoPcsVPgKmsYytkwlw8F3LERGjjUqdIHZr1FoLv/A8IBgBNB6SJ4KteeI6+AO4Dj3c6HhERERERERERUdrTnA7QFQReuNMqUCtlbY2tVFV1BfyPXg9z7a8OJ0wMVV8D/wNXQ25Y0bhDhtuDylU/wf/Qn6CCfgcTEqUWFQyg4aFrIFcsadzR7Dm1cRX8D14FVVdlfy7ThP/R6yF//q5xhwrnUlvXo+GBqyArt9meq6tSgQb4H7oGcs0vjTuaHSfrlsP/4NVQDXUt3if09XsIvv4IEApYO5pafocCCL7+CEJfv2dXfEpioQ+eQeiTFwHTsHY0tfxuqEPg2X/BWPyNc+HaITT7fQRfe9gqUAOANBvvCCD4xqMIffmOc+Eo6SiloGQKbqqNteOJiIiIiIiIbCJS9B/Zi0XqBJMbVsD8fqZVtNlRY+Eg9PHztueyQ2j2B1BV27af/G1OmlBb1sKY/7n9wYhSlLFgJtTmNZGfU9XlCH39vu25zCXfQK75ueVaxuFcEvDXwfjiTdtzdVXGvE+gtm2IfJyUb4HR1NkDgDJCCL73VNSPGXzvaSgj1NlRKYWouiqEpr8aeYAQCL77RNIXxpRpIPhujOP9fR7vREREREREREREicYidYIZ8z+32khGIqW1TnWgwb5QNjHmfdJ2cb6JEDDmfWpfIKIUZ3z7WWMr7QiUsp53NjO+m769pXRbpETIgVxdlTHvMyDqVX8tjxPz14VAXXX0D1pXZY2jLsv44evtM6jbohTUxlVQm9bYF2onyF9/AGJ1nKivgfnLAnsCERERERERERERdVFckzrBVH1NHIMklL8OwutLfCA7xSp6KOVIa2LqGKUU5MqlMFcuBTQd+vDx0Ev7Oh2rS1C1VdEv/ACg6uJ4zelkqq5qe9vfSBpq7QlDja+rsY6TZq/P8fycas84Skuqvia8Vnn0cTF+9jss7nwOvJYSERERERERERF1JSxSJ5goLI1ZVILHC5GZa08gG4nino1FtQgntDUNWnFPe0NRh8jNa9HwxC2Q637bPqNXKegj9oTv/L9AZKXfcZxMtG69YG5aFblIJAS04h62ZgIArbgn5G+L224v3UgUlNiYqGsT3XpBlW2K/NorNIhmr72isDS+jxvnOEpPWlFpzAI1AIjC5H6ui6L4XiNFEY93amQqa0s1qZiZiIiIiIiI0oYQAiJaV9AklGp50wHbfSeYa89Dow/QNLj2nAzh9tgTyEaufY6KPrtSSrj2nmJfIOoQWV2O+nuugNywytqhVPgCDHPZd6h/8M9Q0VrBUoe5Jh4RvUiklPW8s5lrryOiFqghBNwO5Oqq3HsfGf21V0m499n+2qv1Hw7RvTcUACUVpCEhQxLSkFBSQQEQJX2g9R+e8OyUvPRREwFfduQBmgZt2DhoBd3tC7UTtL7DIEr6Rl46QQiIbr2gDRhhbzAiIiIiIiIiIqIuhkXqBNPyiuA+5oIId+oQOYVwH36mvaFs4hp3ELQhY9teq1YI6LvuC33Enrbnop0TmvmW1SK4rWKklJBrfrHWLKWE0YfvAX3s/mhzvWGhQRu0K1zjD7E9l9Z/OFwTj2z7TqFB6z0Yrn1ZpLaLPnpv6CP3arsIJwS0XcZDH7N/s10CnuMvgTIklKm2dwpXgDIVlKHgOe4SXknYxQm3B95Trmy8scOxoGmA2wvv8ZfYnqu9hBDwnnoVoOmtfz8RGiA0eE+9isc7ERERERERERFRgrFIbQP3wSdDH38oVLOToUopICsP3gtuhpZb6GC6xBG6Cxm//xdcB50AeJqtt+3LgvuwM+A970YIjYdgqgh980n0WbxCQ2juZ/YF6oKEEPCe81frwpbmMxo9GXAdcBwy/nA7hMvtSC7PKVfCfcxFQHbe9jtcbrj2PhIZl90N4cmwPVdXJTQd3gtuhnvSqUBG5vY7vD64Dz4ZGRfdAqHrLd4nNG862rz4IXw/n9sEuHY/EN7f/wuitH+L/drQ3eG7+mFoPfo5E6yd9EGjkXH5va26A2j9dkHG5fdAHzLWmWBERERERERERERdiFAq1oLJ1FGBD55H4O0nrRtNNQAFayZ1dh6y/vo4tPxip+LZQgUaIDeusmbx9RyYlu3N013NlUcCAX/UMdrAEci69mGbEnVtKhSE3LACUApaj/4QXl/sd7KBMg3I9SsA04BW2hciWntgSjgVDEBuXGkdJz0HtHmxgKwuR90Np0Rv2a7pyLrtFWh56XlRFbWPUgpqy1qoumqIghJoBd2cjrTT5LYNUNXlEDmF0Lr1jP0O1GVUV1cjLy8Pm66ZhFyv/ReAdVR1IITSez5DVVUVcnNznY5DREREREREXUTT39OL1j+FnNzM2O+QRGqq6zG61/n8W9pGLqcDpDtZsRWBd57evqP5JQHShKqtQuD9/4PvjKtsz2Yn4fVB53qmKU0rLLUuNIg4QIdW3Mu2PF2dcHug99vF6RitCN0Fve9Qp2NQI+HxxjxOzOWLoheoAUCaMH9bBG33AzoxHaUqIYS1rnMa0Ip7AsUsThMREREREREREdmNvZYTLPTNJ9EHSBOhOR9DhYL2BCLaSe79jmp7jdsm0oR7nwjrEhNR8oq3oQobrxARERERERERERFRJ+FM6gST5ZsBTQPMKGv5hgJQ9TUQeUX2BSNqJ/c+UxD65hPIdcvbWJtawLXHwdCH7OpINiLaefqAEdYFKNGK0EJY44iIuhhlAspMvYt0VIwGGURERERERESJJBr/pZJUy5sOOJM6wURWbuzZZ5oGkZFavfmp6xEeLzKvvAfufaYArmZrM/qy4TnqHGScez1EtJnWRJSUtMLu0Mfua11Q1eYADfqYfaEVdrc3GBERERERERERERGlLc6kTjD3nocg+OELkQdoOlxj94Hw+uwLRbSThC8LGadfBe9xF8FcvxJC06H1GQzh9jgdjYg6wHf61ajftBZy4+rGPQpovHJQK+kL3xlXO5aNiIiIiIiIiIiIiNIPi9QJpvccANeek2B8O731jGohAE2H98iznAlnE1lVjsCX78P4+QdACLiH7wbPvkdCy8l3OhrtJOHLhmvwaKdjEFEnEdl5yLzuEYS++QShr9+HqiyDyC+Ce58pcO91GC+kIiIiIiIiIiIiIqJOxSK1DXzn/Bl+bwZCX39greUrNEBJiILu8F3wV+h9BjsdMWFCP36D2kf+BhgGoKx1jI0l36LhnWeRffntcA/f3eGEREQEAMLrg+eAY+E54FinoxARJQ+prC3VpGJmIiIiIiIiShtCiJRbHjTV8qYDFqltIFxu+M68Bt6jz4Xx4xyogB96z37QdxkHEWkN0DRgbl6H2of/ChgmrNaxjZQCggHUPnA98m57nuucEhEREREREREREREREXUhLFLbSMsrgme/o5yOYZvAjLesmeNoYyaHUoARQmDmO/Adf6Hd0YiIiIiIiIiIiIiIiIjIIek7jZccF1r4dWOROgIpEVo4275AREREREREREREREREROQ4zqSmhFGm0SljiIiIiIgcYUprSzWpmJmIiIiIiIjShmjcUkmq5U0HnElNCeMaPArQ9MgDNB2uwSPtC0REREREREREREREREREjuNMakqYjEOOR2jejMgDpAnvwcfZF4iIiIg6RNZUwT/jLQS++hCqtgZatx7IOHgqvPtOhnC5nY5HREREREREREREKYJFakoY15DRyDjuAvjffNKaUS1N647Gt32nXAJXv6HOhqR2UUrB+G0pgvM+h2qog17aB959j4CWV+B0NCIiSjBzy3pU3XopVFU5oKxWwmZdNeqevAOBrz5E7rX3QHgzHE5JREREREREREREqYBFakoo39FnwzVgF/g/eRXGLz8CAFzDd0fGYSfDPXx3h9NRe6iGetQ8dCNCi+ZZFxoIAFKiftrjyDrzCmRMOt7piERElCBKKdQ8cCNUdUW4QN14BwDA+GVR+OcBUTpRUkFJ5XSMdkvFzERERERERJQ+ROO/VJJqedMBi9SUcO5Re8I9ak+nY1AH1fznHwgt+c660TQrHgBME3XP3guRXwTv+AOcCUdERAllLF8Cc82vkQcoCf/n7yLzxIsgMjLtC0ZEREREREREREQpSXM6ABElP2PtCoQWfA1I2fYAIdDw5jO2ZiIiIvsYvy4CRIxfG4N+GGtX2BOIiBLikUceQf/+/ZGRkYEJEyZg3rx5Ecf+73//w3777YeCggIUFBRg0qRJUccTERERERERETXHIjURxRScPwvQorxcKAVzza8wyzbbF4qIiOyj6QDiaB8c7WcFUSqSCjBTcNuJdt+vvPIKrr76atx88834/vvvMWbMGEyePBlbtmxpc/zMmTNx2mmn4fPPP8ecOXPQp08fHHbYYVi/fn1Hv+pERERERESU4oQQKbmRvdjuG4AyQgjM+wLB77+CCgbh6j8EGQcdDb2g2OloRElBBRoaZ9BFmEndJBiwJQ9Re9S+8Qz8H7wMFfBDeLzImDQVvpN/B13X2xwvK8vhn/keQiuWQbjc8Oy+D7wTDoRwe2xObr+GL95Hw3svQdZUQ8vJhe+o0+A7YIrTsSgJuEfsHl5/OhKRmQ1Xn0E2JSKiznbvvffioosuwnnnnQcAeOyxx/D+++/jqaeewvXXX99q/AsvvNDi9hNPPIHXX38d06dPx9lnn21LZiIiIiIiIiJKXV2+SG1uXo/Kf10BuWWDNftHKQS/nYX6155Czu9vQMYBRzodkchxrt4DAdOIPsjjhVbY3Z5ARHEwG+pQ/odjAH9DeJ8KBdHw9v+h4YNXUPift6Fn57V4H//sT1HzyK2Nre0VIAQCsz9F3cslyPvLA3D17GvzZ2EP6fej4k+nQW7b3g3BrNyG2v/8C/XTnkDB3S9By8hwMCE5zdV3MPTBo2AsX4xI15R6Dz0RwuO1NRcRRVddXd3ittfrhdfb+nkaDAYxf/583HDDDeF9mqZh0qRJmDNnTlyPVV9fj1AohMLCwo6FJiIiIiIiIqIuoUv3ZFSGYRWom07KS2nNElISkCZqHvsXgj8tdDQjUTJwjdsfCoCKMItOKQWtpDeEl0UsSh4VV5/eokDdQiiI8itPabnr1yWoeegf1gUZqvHnQeM67LJ8G6r+dTlUmnYLqPrHJS0K1M3JbZtRdcslNieiZGSsXxOeTa12/F8qGOtWOpaNiNrWp08f5OXlhbfbb7+9zXHbtm2DaZooKSlpsb+kpASbNm2K67Guu+469OzZE5MmTepwbiIiIiIiIiJKf116JnXg2y+sGdSRCIGGd1+AZ/hY2zIRJaPgFx9AGRJCF1BKtViboalAYaxd7VQ8olaMjWuhKrZGH1RbjeDypfAMHgEAqH/vRUCItpfdlSZk2RYEvpmBjP2P6PzADjK2boKxcln0MSuWwdi2Ga7ikqjjKH0FFsyGqq4EACihIDQRfv2XpgQUEJz7BaQRhOZK/9b41HUoqaB2Yn1npzVlXrt2LXJzc8P725pF3RnuuOMOvPzyy5g5cyYy2HmDiIiIiIioyxONWypJtbzpoEvPpA5+/zWgtb0mKQBASgQXzIGSMdbhJUpz/i8/AhSgTGX933wGnQSUoYBQEMaa3xxOSmSpe+3JuMbVv759XHD+V4A0Iw8WGoLfz+5otKTj//SNTh1H6cn/2VvbbzT+PGjawhd2KIng/K+diEdEEeTm5rbYIhWpi4uLoes6Nm9u2VVj8+bNKC0tjfoYd999N+644w588skn2HXXXTstOxERERERERGlty5dpEYoFG5bGZGS4XavRF2VMkKNbzQWJgwFGZJQRsvZRbKh1qGERDuIty233w+g8YKLWOuuKwkVSr923/G2MFcBf4KTUDJToWB84xrqEpyEiBLB4/Fg3LhxmD59eniflBLTp0/HxIkTI77fnXfeiVtvvRUfffQRxo8fb0dUIiIiIiIiIkoTXbrdt6v/EATmzog6Ru/RF8LVpb9MHVY//R3UvvZ0eL1TvbQ3sk/7HXx7c726VOEeMAzmql9ijnP1G2ZDGkpWoeVLUffBqwgung9AwDNmT2QdeTLcA4bansW710EIfvtFzHGe8fsBAIQQ0PsMhLl2ReSLlzQNrv72fy6J5hk7Ef6PpsUxbi8b0lCycg8bg9CP82KPG7WHDWmIKBGuvvpqnHPOORg/fjz23HNP3H///airq8N5550HADj77LPRq1ev8LrW//73v3HTTTfhxRdfRP/+/cNrV2dnZyM7O9uxz4OIiIiIiIiIUkOXnkmdceBR0dt9A/AdcVKnPqYK+CFrq7tMC/GKu65H9X9ug9y60ZqVriTMjWtQde+NqHr8DqfjUZyyzrg05hjXsNHQuAZhl1X/0Wsou/58+L/6FLJ8K2T5Fvi/+BBlfz4H9Z+/Z3uejH0OA/Tor+8QAplTTg3f9B1+cszuGhkHH9MZ8ZKKd+xeEJnRiwkiMxvesZFn0lH68x17JqBF/7VR69GX65ZT2mne2j7VtvY65ZRTcPfdd+Omm27C2LFjsXDhQnz00UcoKbGe12vWrMHGjRvD4//zn/8gGAzixBNPRI8ePcLb3Xff3WlffyIiIiIiIkpNQoiU3MheXbpIreUXIucPNwJC26FYbR2InvH7IeOQYzvlsYI/LUT5v67C5jMOwpZzD8PWi6ag5pX/QfobOuXjJ6P6Ge8iMHdmxPsbPn0L/oXf2BeIdpqWnYvM0/4QeUBGJvKu+bd9gSiphJb/hOonGk9IN1/TWZqAUqh+9DYY61banivnqn9FvT/74htb3M448Eh49jrYutH8FxJNB4RAzu9ugF7UvbNjJoXca//d8nNuTgjrfurSNJcb2b+7IfIAlxt5199jXyAiSojLLrsMq1evRiAQwNy5czFhwoTwfTNnzsQzzzwTvr1q1SoopVptf//73+0PTkREREREREQpp0sXqQEgY9/DkP+P/8Azbp9woVrv1Q/Z5/8JuVf9C0LveKtv/+zpKL/pEgR/mAvAmtUgqypQ99rTKL/5krQtVNdOezL2mBcetSEJdYasY89CzpX/hNatx/admgbPbnuj6OE3oOXmO5aNnFX34bToXSmEQP3Hr9sXqFHG+P2Rd9MjEPlFLePkFiD3unvgO+CIlvs1HbmX/wPZF10HvfcAa6emwbPbROTd9AgyDpxiV3TbeYbvhoI7noVr4PAW+10Dh6PgjmfgGb6bQ8komfgOnILcv9wPvWe/7TuFgHvk7ih4YBpcJb2cC0dEREREREREREQpRSgVo7dpF6KUApSEiNECvD1kXS22XDQFCAbRVKBuQdOQddw5yDnt9532mMli00l7Wy2+o3F7UPrSLHsCUaeRUgJGEJqH7b0J2HLxVMhtm6KOcfUZgOL7XrIpUdvMhjrovqy4xytpAkLrkm1eZNDP5zdFxZ8DlO6qq6uRl5eHtefui1xPxy9atVt10ECfZ75CVVUVcnNznY5DREREREREXUTT39O/bnoeObmZTsdpl5rqegwpPZN/S9so9c64JJAQAhCdV6AGgIZZHwGhCAVqAJAS9Z+8geyTL+iUWdtJRSDip719TNcr/qQyWVeLhq8+gbllI7TsXPj2PRR6t1KnY5HT4nkeC+cad5hVFfB/+QnMim3Q84uQsd+h0HeYXd2WzrxgKVWYlWXwf/kpzMoy6AXFyNjvMOh5BU7HoiRjbNkA/9fTIWur4SrphYx9J0GLsa55OlBKIbh0IYI/fgtICfcuu8K7214QMdbqJiIiIiIiIiIiotbSrCqafIw1v1ltcE0j4hhVUwVZUxVX0SSVaCW9IDeujTrG3W+wTWmoo+o+fgPVT91vdQXQdUBJ1PzfI8g8/ATkXnBV+l1kQXHzjt0LDdPfabkedXOaBs/YvewNBaugVPva06h95QlASuu1WJqofuZBZJ90HrJPubBLzpJui1IKta88gdppT1sdMMJfqweQfcqFyD7xPH6tCMowUPW/u9HwyVuAJqyLT0wTVU/ei7yL/oTMScc4HTFhzK2bUH77tTBW/mL9DAQA04TevScK/nIXf58hIiIiIiIiIiJqJ079SDDh9SL2dGJAuL2JD2OznNMujj3mnMttSEId1fDVp6h+7N9AMABAWRddSAkohfoPX0f1sw85HZEclHnEiYj6Oic0ZE4+3rY8TerfewW1Lz4OmCagGo9bpQBpovaVJ1D31vO2Z0pWdW8931jM3+FrZZqoffFx1L/3itMRKQlUP3UfGj59C4CyfgaYhvV2MICqR/6FhjmfO5wwMaS/AWV/uwTG6t+sHaZpbQDMbZtQduMfYFaUOZiQiIiIiIiIiIgo9bBInWAZex4YPpHZJk2De8Ru0LLSr02mb+9D4DvsuIj3Z51wHjy7jLExEe0MpRRqXnisxe3mG6BQ//40mJXlzoUkR7n7DkLe5X8HNM2agdtE0wDdhfxr/gVXSS9bM6lQEDWvPBF1TO1rT0MF/DYlSl4q4LdmUEdR8+oTUKGgTYkoGZnlW1H/0RvWxQttEQI1Lz7W+HMhvfhnfQxz8/q2u0VICVVfi/qPXrc/GNlCmiplNyIiIiIiIiKniBT9R/ZikTrB3MPHwD10VMvCTXNSIvuEc23NZKe8312Hgr/eB9eAoYDbA3i8cA8ZicJ/Po6c037vdDyKg7F6OcxN66yitFTWhNlmm2qcmRqY94XDSclJvn0PQ/EDLyPzyJPg6j8ErgFDkXX06Sh+8FVk7HmA7XmCi7+HqquJOkbV1yHw43c2JUpegR+/hWqoizpG1dYguPh7mxJRMvJ/MxNROyYoBXPdKhjrVtmUyD4NX30CRGt3LyUavvjIvkBERERERERERERpgIvIJpgQAgXX342K269B6NcljWv5IrzmZ+7vr4d3zASnYyaUd7eJ8O420ekYtJNUfa1ViG6sTTR/GwLW27qArI9e5KL05+rRF7nnXul0DACArK+Na5yKc1w6k3XxfQ34HO/aVH2d1R0hWncYIOYFD6lI1tZEnkHeNIavJURERERERERERO3CIrUNtNx8FN72BIJLvkfgm8+hAg1w9R4I34FHQssrcDoeUVR6ae/tM6Z3PEffVLg2JfTiEtuzEUXi6tEnrnF6z74JTpL8XD3j+1rFO47Sk96jT8wCNYQGvXsPewLZyNWrP4w1v0X+/IUGV69+9oYiIiIiIiIiIiJKcSxS20QIAe+ocfCOGud0FKL2aWpxGm0SmQL8ixfCt++htkQiisU9cBhcA4bCWL0ckLL1AE2Dq1d/uAcPtz9cknEPGQlXnwEw1q22unzsSGhw9R8M94Ch9oejpJGx534Q2blWG/22ZhVrOrx77gc9v8j+cAmWOfk4+L/6JPIAJZE5+Xj7ApGtlGxc7iTFpGJmIiIiIiIiSh9CRF89LRmlWt50wDWpiSgqc9sWaxZ1DP7Z021IQxS//Ev/ArjcVovi5jQNcLmRd+lfIPibB4QQyLv0r4DL1fbXyu22vpbUpQm3B/mX3QhAAGLH40SHlp2D3HOvcCRbonlG7gbfpGPbvlMIeHefCN9+vEiLiIiIiIiIiIioPVikJqKotJy8qPcrpaCUglm+DcbWTTalomQm62phlm2FMgxHc7gHDUfxv5+Ed/e9IZWClBJSKnjH7oXiO56AZ9hoR/MlE8+w0dbXauxesBabR2PxbW8U//tJuAdxxjkBGRMOQOEtD8O9y+jwa7/SNGTscwiK7noGrpKeTkdMCCEE8v5wPXLPvxJaYbft+3PykH3yBSi4/i4Inc2JiIiIiIiIiIiI2oNn1IgoKldpL2j5RZAVZS32K6WAHToDVz5+D/IvuiptCxUUnf+H71D90hMI/vgdAEBkZSPriOORe8r50LKyHckk62oRWLkCKth0sCr4f/0FGZs3sn31DtwDhqLwb/fBrKqArKqAnl8ILTff6ViUZITHB3izIUMKUArC6wYysiHcHqejJZTQNGQdfRoyjzwZ5ub1gFLQu/eEcLudjkZERERERERERJSSWKQmoqiUaUCZLavRbRWoAcD/zSxsWfQ9ut3zFNy9+9mUkJJB/Rcfo/zOG1ss3KHqalH7xvPwf/s1ut/9pO2Fav+Cudh242Wt1s+V2zaj/JZroK6+GVmTjrY1UyrQ8wqg5xU4HYOSkH/hPGy76XJAqvDzSgUCqPvgDfi/+QLd73sWelG3GB8ltQldh6tnX6djkI2UlFCyjV96klwqZiYiIiIiIqL0IRr/pZJUy5sO2O6biKKq/ex9yIry8LrUkQrUAABpQtbVouLh2+wLSI6TdbUov+8WQAHY8aS4lDDWrkT1y0/anqvs9utbFaibq3jwX5A8iU8UF2Ua1oUopglIs+Wd0oRZXobKJ+53JBsRERERERERERGlHhapiSiqmhf/Z70hGwvUkWt+jeNMBH+cj9D6NQnPRsmhfuZHQDCIiAeHlKj78E2oUMi2TP4fvoOqrYk+yDBQ/+Eb9gQiSnH+eV9BVpZHvvBDmmj48jOY1ZW25iIiIiIiIiIiIqLUxHbfRAmilELgh29R++GbMNavgZabh6yDj0Tm/odCeLxOx4ubLNsSfluZCkLE1/LCWLsS7l5sidoVhNasAHQdMI2IY1R9LczKMri6ldqSKbBofnzjfvoR2VNOTHAaotQXWrOy8XluRh4kTRgb1kHnWuaUTkwFZca6Qi8JpWJmIiIiIiIiShts903xYJGaKAGUaaL8nptRP+OD7Sf1hYbA99+g+tVn0P3fj0MvKHI6Znx0FyCDjbOoFaRS0LTYTRhERqYN4SgZaBk+xJ5i3zTOHlp2TnzjMu1dJ5soVYkMX+t2/m3QfPY9z4mIiIiIiIiIiCh1sd03UQLUvPq0VaAGts86U9bJfWPdamut3BTh228SlFJQUloziUwVXp86EpGdC+/IMTYlJKf59j4o+uxKTYNn5G7QcvJsy5Q1+Vggjivfso87PfFhiNKAb68DYl6LovfoDVffgfYEIiIiIiIiIiIiopTGIjVRJ1OhEGreeCHyAGki8ON8BH/72b5QHZB3+kUABNB8Ap2MXqjOPfV8CLcn4dkoOeg9+gC6q82lapUCICWyTzjT1kyaLwsZe+0XdYx7yHC4e/S2KRFRanOV9EDmIUcCIvKvjrln/C7uJSGIiIiIiIiIiIioa2O7b5vI2hrUfvIO6r/4FKqhDu6BQ5Fz1EnwjhrrdDTqZKFVyyFrqqIPEhr8C+bCM2iYPaE6wNWzD7wT9of/68/D+5S0Wn9D06DM7dVroWvIOflcZB93hhNRO50KBlH/xSeo/fQ9yIoy6KU9kX3EVPgm7A+h607HSxp1H74JGQhCaAIQotUFDNJQMLduifDeiVN4493Ydt3vEFyysNV9eu/+6HbnE7ZnIkplBX/8C1QwgIYvP7OWsoCwWoALgbzz/4isg490OmJCGVs2ova919Hw3WxAmvCOHoecY06Gu09/p6NRAlndZFJvfedYXW+IiIiIiIiIEso6VZxaUi1vGmCR2gah1Suw+drfQVaWo2mqYWjNStRP/wA5J5yJ/N9fzZlHaUTFsWYnBOJa2zNZqNrqNnaiRYEasG77F8xD7il1EFmpvdavWV2FLX/+PUK//QxoGiAlQmtWwP/NLGSM3xvd/nEfhIezxQGgbvr7gFJQpoKSCL+eKQCQChACddPfR87RJ9maS9M0dL/rCQSWLUb1c4/CLN8KLbcAuaeej4zd97I1C1E6EB4vim64A6FTl6N+1seQNdVwlfZC5iFToBcUOR0voRrmfYWtf78GMI3wz+/Qyt9Q+/YrKLzmZmRPPsbhhERERERERERERKmFReoEU6aBLX+9DLKqEi164Tau31rz+vNwDxjCk5tpxN1vIESGD8rfEHmQlPCO2NW+UB3UnrWEg78sRfkD/0LxX25PYKLEK7/rJoRWLrduNF1Q0Pi/f/4cVD71IAou/pND6ZKLrG7WOUC1MXtLqZZjbObdZRS63faoY49PlG5cfQfAO34fyOpquHr0TPsCtbF1s1WgNkItf5eT1u9y5ff8HZ5BQ+EZvItDCYmIiIiIiIiIiFIP16ROsIZvvoS5eWP4RGYrQqB62rNsyZdGtAwfso443pp92+YAHa7+g+EZuZu9wTqgXbNOpUT9zE9gbLO/vXNnCa1fg4ZvZkV+3iqF2vdeg6yrtTdYknL16hu9d4umw92rr32BiChh6qZ/gPVnHInNl5+LrTdejo0XnIiNfzgdgWWLnI6WMLXvv27NoI70u5qmofrNF+0NRURERERERERElOJYpE4w/4K5gB5lwrpSMFaviL2GMaWUvHMugWfEGOtG8+KdpkHLy0fxjXelVIv3rIMPb98CEkoisOj7xAVKsMAP38UcowIBBH9ZakOa5Jexxz6RizcAIE1kH3WifYGIKCFqPngT2277C8ytm1vsDy5fhk1XXYDAz0scSpZY/u/mRF+iwzTh/3a2fYHIVspUKbsREREREREROUek6EZ2YrvvRJNxniBKofWJKTYtw4futz+Guunvo/b9aTA2roOWnYesSVOQfdRJ0PMLnY7YLrKhAUqp9r1Ep3J3gHizKz5vAaBh4XfW+tNKtbr4QikFCA2e4anT3r6rUqaB+q8+R82Hb8PYtgWu7iXIOfI4ZE48AELXnY5HDpMNDah49K4Id0rAMFDx2L0ove9Je4PZQMXzWp/KP/OIiIiIiIiIiIgcwCJ1gnlHjUXtu69GGSGg9+gJLa/AtkxkD+F2I/vwqcg+fKrTUTqsbvoHgEI7LiQS8KZwUdIzcmzsQS433IOHJzxLsjPLtyHw7WwAChBWUbqpUK2Uso4bpVD/5WfImXKCo1kpMllfh03XXYLA4oXWUgVSIrTyVzTMmYWM3fZAyW0PQcvwOR2THNQw+3OohvrIA6RE4Mf5MDath6u0l33BbJCx6ziElv8ceQkIXYd3zDh7QxEREREREREREaU4FqkTLHPfQ1CRXwhZXRlhtrRC7vFnplTr5/YyKitQ8fi98C9eCEDAN24vFF54ObTsbKejJZyxeSNqPnobxoZ10HJykXXw4fAOH51y329z62ZA06B2OEHf5ueh6cjYY2+4eqRukcLTfxC8Y8YjsHgBYLZRlNA0ZB16FPTcPPvDJRmzbBusSjQgw61FW84o1NyuVu2BKblsu/9fCCz90brR9LOq8X//D/NR9vCd6Panmx1KR8nA2LoZ0PTIhdrwuC1pV6TOPvok1LzxApRS1oTpplnTQkAIQJgmcqee7mhGShwlFVS8nZGSSCpmJiIiIiIiovQhhEi5Okiq5U0HXJM6wYTHg6LrbgVU46zCRk1vuncZjexjTnYoXeJVvzMNa487ELUfvQNj3RoY61aj5u1XsPqY/VD7+cdOx0uoyheexNrTjkDlc4+jdvoHqH7rZWy89Cxsvv5SyGiz0ZKQXlAIZZqQpoKUKlyMtE7Yb38bQsDVqw+K/vR3B9N2jqLr/wW9W2nLtbgb3/YMHYGCi69xKFly0fKtLhAyyslwGQqlXIv7rsQo24q6zz6IvOyElKj96G2YVRX2BqOkoucXxixQh8elGXfPPsg7/3JI0ypWKmX9Hqcafx5mTTkB3lFjnY5JRERERERERESUUlikTjClFCqeehSmlI0nNRuLekrBNCX8i39Aw/xvnI6ZEP4lP6Lsvn+2faeS2HrLdQiuXW1vKJvUfPQ2Kp540DqLLaU1G7dxRm7Dd3Ow9d83OZywnbJzt8/Iafyv6WQ9sP0CDPcuu6L0kRfSokjhKu6OHo+9hPzfXQV3/0HQ8gvhGToChVf9DSX3PAEtM8vpiEnB1a0EorRnzHGhmmob0tDO8P8wP/Z6uqYJ/6KFtuSh5JS578GA2xN5gBDwDB0Bd59+9oWyiayrRdUrz1qt8HckBGo+fAeh9WvsD0ZERERERERERJTCWKROMP8P8xH4aRFgyvCMm6bZqFAANA2Vzz/hdMyEKH/kzhgjFMofucuWLHZSUqLyuccjD5AS9V98mlIntKtfe6HN/Uph+zFtKviX/phys8Sj0bJykHviWejxv9fQe9p0lD78PLKPPB7C43U6WtJQSsHcEruVd9WLT9mQhnaGbGiIb5w/fZ7b1H5adg7yz/lD23cKAQiB/N9daWsmu9R+8h7MivK2uw0oBWUaqH7jJfuDERERERERERERpTAWqROs/uvPAV2PPEBKBH6cD1lbY18omwR+WRpzjP+H72xIYq/QmpUwNq6PPkhoqP96pi15OsrYtgXGujhnvJsmGuZ+ldhAlFSMdasBw4g90B9fIZQcoCK0+d5RMJjYHJT0ck89FwUXXwPhy2yxXy/uju7/fBC+3fZ0KFli1X05PfoA00TdF5/YE4ZsJ6VK2Y2IiIiIiIjIKSJFN7KXy+kA6U4F/Ijn0FbpePI/0vqmzSgz9vqWqcb6nsegCahgIPFhOkHT56OUghAxjmUhoAKp8XlR55DxHO+U1OJtXS8yMhKchJKdEAK5J52F7KNORMO3X0NWV8JV2gsZu+0JEe2CvBRndQiJXvDjzz4iIiIiIiIiIqL2YZE6wTwDhgAyeiFWy82HlpdvTyAbabl5kFWVUcfoRd3sCWMjV68+gMsNGKHIg0wT7v6D7QvVAXq3Emsd0niK6krBPSA1Pi/qHO4evZ2OQB3kGTgkvnED4htH6U/z+ZC1/ySnY9jGO3Q4gr/+BES6sE7T4B441N5QREREREREREREKY7tvhMs+9ApjevXRpiBqmnIPfbktJyBlHvsKTHH5J9+vg1J7KVn5yJ70pGAFuF7qmnQi4qROXE/e4PtJM3jhXfMeADWbOpoXH36I2PX3e2IRUlCy8qGZ/RuMcd5RsUeQ87w9B8E76ixUV6zdHhHjoGHF6BQF5Vz9EmRC9QAICXyjjvVvkBERERERERERERpgEXqBNOyc9Dthn8CQrQuAGgavENHIC8NC7UAkHfOxXD1HRDxfu+IXZF79Ik2JrJP4e+vhKtHT0Db4Smm64DuQrcb/w2hp0Yjg/q5X6Phm6+hTKtA3VahWikFpYDia26O3RKc0k7prfdb3QMicblQeud/bMtD7dftz/+Alp1tvUY1p+vQsrNR/OdbnAlGlAS8g4ch/7xLrBvNf643/rzLmjQFmV1oZnlXo0xAmSoFN6e/ckRERERERNSViRT9R/ZikdoGWQccih4PPAXfnnuHT2hqBUXIP+dilN73BLQMn8MJE0PTNPR6+g1kH34M4N5ewBJeL3KOOw2lDz3rYLrE0vML0fPRF5B38tnQsnMad+rI2n8Sev3nBfjGjnc2YJyUlNh65z8ApaCkddITqmWhWqnGfYaEq1t3B9OSU/S8fPR9Y0abF6W4evdD33e+gu5Lz9e5dOHu0x89H38ZOVOOb+z+AQiPFzlHHoeej78MT9/+zgYkcljB2b9H93/cA++wkeF9rl59UXTVX9Hthn9C7HhRGhEREREREREREUUlVKz+vdSpZDAAFQxAy8zucic0jW1bAE2Dq7DY6Si2UqYJ2VAHzeuDcEeZbZqE6ufPxcYrLgwXpaPOktY09P/gK+hNRXnqkpSU8K9aDs2UcA0cAj0NlzJId8o0IOvroWVmpkzHByI7yYZ6QEqIzCx2D0lj1dXVyMvLw89TxiHHnXo/y2pCJoa9Px9VVVXIzc11Og4RERERERF1EU1/T6/Z+ipyczOdjtMu1dX16NvtZP4tbSOefbaZ5vECjbPUuhpXcdecZSt0HXp2ar6gGRvXW29IRO27oBSQOWEfFqgJQtPgGzjU6RjUAUJ3Qc9JzdcsIjtovtT6A4uIiIiIiIiIiCgZsUhNRBFpOXnbW3srQCoJARFu8S2EgBIKQmjw9BvkbNguRBkh1H4xAw3fzYWSEr5dxyL7kMOhZWQ4mksaBipffg41H70HFQjAM2Agiv/4J3j69HM0V2jDelR/8DaMTRuh5+cj5/Cj4R3sbCFd1tWh+uP3EFi2BMLlRube+yFr4n4QDs88D65eieoP34G5bRv04mLkHnEMPP1at3Gnrq36w3dR+cr/QdbWwlXaA0UXXwHfqF2djkWUEEpaS56kmlTMTEREREREROlDCJFyHehSLW86YJGaiCLKnLA3hC8Tqq7eOtmpAIUd1qMGoHRY06kp4QIrlmPDlb+HsXkT0NiKufqtadj6wJ3oec+j8I0e60yu337F2vNPhfL7w/tCa1ah7osZyD3uZJRcf7PtmZRSKHv8QVQ88z9ACGsDUPF/TyFn8hSU/O2fEG6P7bnq5nyJjTdcDdVQD+g6AIGq11+Gu98A9Hrgv3D36Gl7JiUltt5zG6peeyn8dQKAiqf/i7wTT0O3a/7S5ZaooNaMqiqsOe1YmGVbw/tCa1dj3bffwDdhb/R+8H8OpiMiIiIiIiIiIqJUwjPORBSRluHb3p6+aUK1UtYmVfhtmBJmdbVzQbsIs6Ya6y85D8a2xgKRaVgbAFlTg/V/vAihTRtszyUDAaw5r2WBurnqN19F+QtP25wKqHr1BVQ8/V/rAgopAdO0NgA1n3yArff92/ZMgeW/YMOfLoPyN1g7TDP8PQytW4P1l50PFQranqvsf49YBWrA+no1bQCqXnsJZU88YnsmSj5rzz2pRYG6uYa5s7H51r/anIiIiIiIiIiIiIhSFYvURBSR/7dfIcvKWxSmoRAuWDe9rZRC4OelDibtGqrfewtmZUW40NqClFCBAKpef9n2XJWvPAcE2i5QN6l46vHtreNtoIwQyp9+PMoAhaq3psEoL7MtEwBUvPB0iwJwC6aJ0Lq1qJ3xqa2ZZH0dKp57Inw7/HxvlrHi2Sch6+tszUXJpWHhfBgb1kcdU/3hu5CGYVMiIns0tftOxY2IiIiIiIjIKSJFN7IXi9REFFHlS89abzQvTLdFAf5lS2FUlNsRq8uqnfFJ9Lbq0kTNpx/ZF6hR9fvvxBwja2sQWr/WhjQW/5JFMGMdj6aJ+tmz7AnUqPbzT9u+yKCJpqH2i+n2BQJQ+9UXgGG0vhBFIdwxAUYIdXNn25qLkkvFy/8Xe5Bpom7WjMSHISIiIiLq4pQKwZDrEJK/wpArIFWN05GIiIiI2o1FaiKKSNXXW//HMwNWIWK7Z+ocsqE+5phwG2kbqWAgvnE2Hh8ynscSIr5xnUgFYnytpIRssPd76F/yo/Ucj/Q0b+qWsIzdEroyFedxKWu49AMRERERUSKZciOCcg5M9Ruk2ghTrUNIfo+guQhKRbkomoiIiCjJsEhNRBFl7Dq2XeOVlIkJQgAA79BdAF2PPEDT4RkyzL5AjTwDBsceJATcPXolPkwjT/+BgIjRoEUpeAbGkb0Txcyl6/AOsjeTnpcfvVMCAChAy8+3IQ0lK+/I0XGN8+02PsFJiIiIiIi6LlNtg6F+Qat12AAolCMkf3IqGhEREVG7sUhNRBHlnXg64HLFLmA1CQUTmqeryz/+1OitoqWJ/BNPsy9Qo+JLr4w5JmPM7tCyshIfppG7pBRZ+x4QuaivaXD36Wd7QS3/pDNitGyXyJ16kn2BALhLesQ3rnt84yg9FZ5zEaBF/7XR1aMnPH372xOIyCbKVCm7ERERUfox5eqo9yuUQao6m9IQERFFJlL0H9mLRWoiikhzudDt+pu3r0sbjcsFV/cSe4J1URmjdkXB2RdaN1oUi6wfnjlHHous/Q+2PZd30FDkHnNCxPtFhg89brvXxkSWbn/6K/T8gtaFal2H8HhQesu/IWLNtu5kucccj8y992s9m7rx+1l8xbXw9O5raya43XENU0YowUEomWleL4qvvC7KAB097nrYvkBERERERF2MUgEo1MYcJ9U2G9IQERERdRyL1GQbZZpsB52CfCN3Dc+kbipUK6UgpWxxWy8ogpZp30zZrqrokitRcsu/4Rk0JLzP3acvul13E0r+9k/bi65NSv56C4ov/xNETu72CxqEgG/cHuj/5sdwFRXbnsld2hN9n52GvONOhsjIsHbqLmRPOhx9n3kVGSOity9WhtHpr1nC5ULPux5C8R//BFdJaXh/xojR6HH3wyg47ZxOfbx4xDvDXcvKTnASSnYFp5yJ0n/dDb1bywuSPEOHo++LbyLDgeUGOoMKhWJfiEVERERE5DCFeNabFkBc44iIiIic53I6AKU3pRRqPvkIZc8/A/+iHwAhkLnbOBSecz5yDrB/xie1n2xosN5QgFQKkNtP5KumtY80wKyshDIMCBdfVhJJCIHcyUchd/JRMGtrACmh5eQ6VpxuzjduL/gWL0bNZx9DBQ24evSEb6/9HS1uurp1R/drb0S3q66DWVMDLSsbmscTcbwyTVS+9TrKX3wOwd+WA5qO7H33Q9E5FyBz3B6dkkm43Cg441zkn34OZHUVhMttayv0HWWO3wtaVjZkXeQr8rWsbGTusZeNqShZ5Uw6AjmTjoBRXQ2zbCvcPXpBa7oIJIUYZdtQ9tzTqHzzNcjqKmjZ2cg/9gQUnn0+3CXsCkJEREREyUfAC2u+UbSLqRUEMm1KRERERNQxnElNCaOUwpb77sT6666Cf8mipp2oX/g91l1xCbb97z/OBqS4uHv1BgBIU0X+O0gCZn0DjK1b7AtG0LNzoOfmJUWBuvbrL7HyzJNQ/clHUCEDAGBs3IAt992FNRefB+n3O5pPuNxwFRTGLFCvv+5qbLr1JgRX/GbtlCZqv/4Sqy88G5Vvv9G5mYSAnpfvaIEasNo4F15wcdQxhRf8HprXa1MiSgWu3Fx4BwxKyQJ1aOMGrDz1eJQ//wxkdRUAQNbWovzl57Hy1OMQXBN9nT/qWpSSUDIFN8XuRUREROlGCB2aKI0xSocmutmSh4iIKBohrPOfqbW1//OcNWsWjj76aPTs2RNCCLz11lst7ldK4aabbkKPHj3g8/kwadIk/Prrry3GlJeX44wzzkBubi7y8/NxwQUXoLa25YSiH3/8Efvttx8yMjLQp08f3Hnnna2yTJs2DbvssgsyMjIwevRofPDBB+3OYjcWqSlh6ufOQflzT1s3mrfMbXx76yMPoGHxIgeSUXvUzv4KUsbZBjUJiqVkP9nQgPV/vgowTWtrTik0/LAQZU/915lw7VD1zpuo+exj60bz1r+mCSiFjf/4G0KbNzsTLsHyTjodeq8+UEpBKbT439V3APJPOdPpiESdZuMtf4NRXtb69co0YVZXYcPfrncmGBEREaUt6/frekhVBaWcvYCXUptL9Afgi3y/tguE0G3LQ0RE1NXV1dVhzJgxeOSRR9q8/84778SDDz6Ixx57DHPnzkVWVhYmT54Mf7NJXWeccQaWLFmCTz/9FO+99x5mzZqF3/3ud+H7q6urcdhhh6Ffv36YP38+7rrrLvz973/Hf/+7/Zz77Nmzcdppp+GCCy7AggULMHXqVEydOhWLFy9uVxa7sUhNCVP+8vOAHuUXY11HxbSX7AtEO6XsyfiLi/VLeNFBV1T98QdWq+hIa7pKiYpXX4QyDHuDtVP5C8/FuNBCofLNabblsdOWu25DcM1aSEM1zsIDlJSQhkJgxQpsffBepyMSdYrgurWom/N16wJ1E9NEww8L4F/+i73BiIiIKG1JVYGQWoiQWgBDLUZIzUdILoJUkZfbIYpECDc82m7QRW8A28+5CRTArY2FLoqdC0dERNQFHXHEEfjnP/+J4447rtV9Sincf//9uPHGG3Hsscdi1113xXPPPYcNGzaEZ1z/9NNP+Oijj/DEE09gwoQJ2HffffHQQw/h5ZdfxoYNGwAAL7zwAoLBIJ566imMHDkSp556Ki6//HLce+/2c7YPPPAADj/8cFx77bUYPnw4br31Vuy+++54+OGH487iBBapKWH8SxdHPgkMWCeCF/9oXyDaKcHVK1vtU8qaEN98UwpomP+tAwnJaf6ffwJirEVuVlbCKNtmU6L2U0oh8NuvkQvtACAl/Mt+si+UTYzyclS+9Ua4y4VVoFYId4pVChWvvgSzpsa5kJQ0zJoabHvuaSw/cSp+PvQArDzvTFS+/27SX4TSxP/LsrjGBdLwuU47R5kqZTciInKeVGUw1FIA9S32K1TDUCxU084Rwg2XNggebW94tL3g0faBR98VmshzOhoREVGYSNF/gDVzufkWCAR26muwcuVKbNq0CZMmTQrvy8vLw4QJEzBnzhwAwJw5c5Cfn4/x48eHx0yaNAmapmHu3LnhMfvvvz88zZaynDx5Mn7++WdUVFSExzR/nKYxTY8TTxYnsEhNCSM8sdcv1bypt5ZlVyO0lrPhrRbArccpBdSzfXuXJNweII5z4cIdeT3oZCBiFNqhaWm5LnP9t3MBM3qBUQWDqF/wnU2JKFkFN6zHbyceg8333InArz/D2LwZ9Qu+x/obrsXqP1wEuZO/sNtJi/N1KJ7fYYiIiIiiUUrCUMujjJAw1Qrb8lD6EUKDEF4IEeNvWSIiImqXPn36IC8vL7zdfvvtO/VxNm3aBAAoKSlpsb+kpCR836ZNm9C9e/cW97tcLhQWFrYY09bHaP4YkcY0vz9WFiewSE0Jk3PwpOjtvjUNOQdNinw/JQWtsDBclI5UoG7SsHAhqqd/ak8wShrZ+x8YvcipacgYMQquwkLbMrWXEALZ+x8U/TVLSutzTTPKCMU3LhTfOEpf6/50JUJbtrT8YdA4A7/u27nY8tD9zoWLk2/3cRAZ0S+QE243MvecYFMiIiIiSlcKFQBiXAyKGijVYE8gIiIiIorL2rVrUVVVFd5uuOEGpyOlLRapKWEKTjnDmpnY1hqvmgbNl4n840+0P5jNzNpaBFaugFFW5nSUdjPKyhDaaF1FE604HaZp2Pbc04kNRUknc9weyBg5KlzgbapfhY8ZKVF04e+dCwjArKqynoeVFRHHFJ17QeQDXdfhKu2BnEmTE5TQORkjRrW43er7BwBCwDd8pL3BKKk0LFmEhsWLIi/jISUqXnsFsr6+7fuThJ6VjcLTz468/rwQyD/hFLjyC+wNRkRERGlHIb4uM/GOIyIiIiJ75Obmtti8O9lds7S0FACwefPmFvs3b94cvq+0tBRbtmxpcb9hGCgvL28xpq2P0fwxIo1pfn+sLE5gkZoSxtOrN/o8/DiEz2edDBYaoFmHnJadg76PPQlXUbHDKRMnuHED1t5wHZbuuxd+OfpI/HTAPlhx3tmo+36+09Hi1rD4R0ApKGXVJWIWqqVEw8IFUFLGGEjpRAiB3g/8ByInF4ZhHSvNt8ILL0buwYc6ks3/23KsvvwyLN1vovU83G9vrLr0YjQsa70urW/0GPS87S5rfW1Ns163Gtvdu7p1R7/Hn07Ldt/eAQOROX5PKKG1+v4ZBqCEhqx994e7Zy+no5KD6uZ/F/4ZHomsr4f/119sSrTzul1yOfKOOta6oevWc73xIpucQw5DyTV/djAdJRslVcpuRETktHhbMLNVMxEREaUfIVJz60wDBgxAaWkppk+fHt5XXV2NuXPnYuLEiQCAiRMnorKyEvPnb68bzZgxA1JKTJgwITxm1qxZCDXrdPnpp59i2LBhKCgoCI9p/jhNY5oeJ54sTuBvwpRQWXvshSEff4Gq999G/ffzIYRA5h57Iu/Io6FlZjkdL2GC69dh+WmnwKyqbDHrrG7+d1hx7lno99CjyD3gQMfyxa3xVbmp5txUpI76Yp2IV3NKehtuvQWhba1nKSsFbH3ySeQfdyK8vXrbmqlh2TKsOPt0a53cZgdxzVdfovabORj49HPI3HVMi/fJO3wKsvaYgMq3Xof/p6UQHg+y9zsAOYccBs2T3Gtqd0ThWeej+pt5bd5nhiQKTjnT5kSUdISIr6VGCrz+C5cLPW+9AwWnnYmqd9+CsWUzXEXdkHf0scgYtStECnwORERElPw0FMKEBiDaRdwZEEjfcyNERERE6a62thbLly8P3165ciUWLlyIwsJC9O3bF1deeSX++c9/YsiQIRgwYAD+9re/oWfPnpg6dSoAYPjw4Tj88MNx0UUX4bHHHkMoFMJll12GU089FT179gQAnH766fjHP/6BCy64ANdddx0WL16MBx54APfdd1/4ca+44goccMABuOeeezBlyhS8/PLL+O677/Df//4XgDXRLFYWJwil4mriS0TtsPrKy1H9+fS226IKAT0/H8NnzIJwu+0P1w6hinL8vP/eLeoSUWvQmo7MceMw4MnnbMlHyaHuxx+x4vSTo47xjR6NwS9NsymRZfmpJ6Fh6ZLtBermNA3eAQMx5K13u3xBSimFnw8/FMH169DWV0IB8PTpg10+5HrzXVn94h+xMsbzHLqO4XPmQ4ux5jNRKqiurkZeXh4W7T8KOS7d6TjtVmOYGD1rMaqqqpCbm+t0HCKiLstU62Cq1RHvd4ldoIkiGxMRERERJVbT39Obyl9Hbm5qXYxXXV2H0sIT2vW39MyZM3HQQQe12n/OOefgmWeegVIKN998M/773/+isrIS++67Lx599FEMHTo0PLa8vByXXXYZ3n33XWiahhNOOAEPPvggsrOzw2N+/PFHXHrppfj2229RXFyMP/7xj7juuutaPOa0adNw4403YtWqVRgyZAjuvPNOHHnkkeH748liNxapiTqZUVaGnw7ar+3CWDN973sQeYceZlOqnVP77TysPO/sFvua6nmR6np9H34MOfsfmNhglFRWXnQ+aufMjjluxOx50G06Ue7/9Rf8etwxMccNeuFlZI4Zm/hASax+8WL8duqJMccNevV1ZI7gutRdVdWnH2Pt1VcAaPv1XykAAtjl86/hKuKJVkp9LFITEVFnUEpBYh1MtRbW5Z9NdOhiIHTR3aloRERERAnR1YrU1DFs903UyYLr1sYsUEPXEVi9ypY8HRFslrHpchYpraU7ldpeqGh62ztqVxaou6DAmjVxjQtu3AifTT/cA6tWxT2uqxepqz+fHnsQgJpZX7BI3YUFVq2CEhqEki2Wfmjxs0Bay12wSE3pREoFmYLrO6diZiKidCSEgI4+0NADEmUADAh4IVAIITSn4xEREREljGj8l0pSLW86YJGaqJNpzVowRCQl9HjGOaxp3XApAU3bXqg2TasooTX+Ta2UtU8rr3QmKDlKy/TFNU7Ptu/KOS0rvseK6/ma5oLr18c1LrRxY4KTUDLTsrIApVoVqIGW12VpWXxOEREREe1ICBd0lDgdg4iIiIgoqfCyTZsopVD3ww9Yf/fdWHvrLdj64oswa2qcjkUJ4B04CJ5+/QEhIKVVvDUat/CJfCGQe/AhTsaMS85++wMeDwAre1NBQinrdsiwNtO09gXXrEH9ksUOJiYnFJ4QY51aAHp+ATy9etuQxpI1fg/ouXkAth+vpmx5HGuZmciZuLdtmZozamux9pZbsGzqsVh2/HHY+OijkIbhSBY9vwCxFv5QCtCLiu0JREkp7+BJLfp8K7V9AwAIAU//AfAOHOhMQCIiIiIiIiIiIkopLFLbwKiuxvLzzsMvp56CLc88jW2vvop1/7wVi/bfDxXvv+90POpkQgiU/PEKmIaCVC1XnZLKKlbnHzMV7u7JfxW1npOD4nPOa7FPNX5OzT+vpttKCNTOmWNjQkoGhaecApGZGXVMyRVX2hOmkebxoPj3F8NsKk43FtOksm6bJlB03gXQYuROhK2vvIxFe+6BbS+9iIaff0bDTz9h00MP4sfdd0PNt9/anidz1Ki4itSZo0bZE4iSkru0FIUnnNT2gtQAoBRK/3gFRKT7iYiIiIiIiIiIiJphkTrBlFJY+cfLUPtdY+HBNAHDsFpmBgJYde2fUDNvrrMhqdPVzPsW0Wo+1fPsL0TtrOpv54eLe2qHovuOlFQw6+pty0bJQTb4oVze8LHRfHalUoByeZB7wIG256r+6uuWOZrnAlA9+xvbM9V8+y3W/f3vaKsqrEIhLD/vXBjl5bZmEh4PpNo+y3zHTTYW+eH22JqLkk/Pv9yIguOOD6/3IFwuQAgIjwc9b/o78iYf7nREok6nTJWyGxEREREREZFzRIpuZCcWqROsbuEC1M6bZxWnd6QUIAQ2/ecx+4NRwkgpse3VV6KOCa5di9oF39uUaOcFN21C/fzvthcf43gfs5Zt7Lua8jffhFFZGW5t33ydWlMCZsjA1pdetjWTUVmJmq++ChdZdyy6KgXUffctglu22Jpr/W23RR9gmlh/1532hGlkVFYB2D7LfMdZ57Lx+2lUVNiai5KPcLvR+5Z/Yej7H6Pkj1eg6Myz0fOvN2H4zK9QdPKpTscjIiIiIiIiIiKiFMIidYJVffopoLsiD5AStd/MgVlba18oSqjqzz9v+6KEHWx55pnEh+mgrc8/3+73qV+6NAFJKJlVfPRhi5nBOxY3ISUqP7B3aYOtL7/ccr3cHTTdt/W552zN1fDzsphjqmbOTHyQZkJl21rcbt45oTmzrMzGVJTMvH37ovtFv0ePP/0ZRaeeBj031+lIRERERERERERElGKiVE+pM5j19XF1CJANDdCzsxMfiBLOqKyMa5ysq0tskE5g1kSfFd28iNW0DCkvuOh6guvXt7jd5nFRb28beLO6Oq51lo3qansCNX/QWEOCQRuCbOfp1avl47fx/QOsNYmJmki/H0ZVFVzFxdB03ek4RAmjpIKS8fSSSS6pmJmIiIiIiIjSiYbUmyebanlTH4vUCZYxcFDMWbV6bi5cBQU2JaJEyx43Lq5xvuEjEpyk47J22w1lja3LG7vTt2iZ3JymAcKlwTdsmANJySnKNGFU17Ro8b1jkVMIwNOjp625PL37xDXO9tdeTYOSMuK1S0oBWmamrZF8gwaHH7ut75+mWf9nDBpkay5KThXTp2PNP29HcN06a4cQyBo7BgPvuQsZfeJ73hERERERERERERHxsoAEKzzmGAi3O/IATUPxKadAuHi9QLrI6N8f7h49og8SAj0uucSeQB1QeOyxEB5PuCBtmm0XqIHG9YeDEkUnnWxvSHKUf9UqyAY/lNp+fDTXdLy4Yj0nOpmntCS+cTvMIk40paI31xACcJXYO2M5c+RIeAcOivj9M03AO2wX+IYOtTUXJZ/NL76M5Rdfur1ADQBKoW7BQiw67Ag0rFjpXDgiIiIiIiIiIiJKKSxSJ5grPx99/nHL9ulozWkaMgYPRsnvfu9MOEqYAQ893Pr73UyPK6+C5vPZmGjnCCHQ51+3WQXoKAXq5iq/mGVPOEoKKhSK67jwr10ffUAn03Ny4huXHd+4zqKUCncjaF4QbnpbKcBVVGxrJgBQLm/0+xV/XejqZDCINf+4JfIAw8Cv/H2GiIiIiIiIiIiI4sSzzjYomjoVg/73BLJ22y28T8vORvdzz8PQF17kWtRpKGvkSAx77XVkNLbRbaIXFqLPbbeh9He/cyhZ+7mKu7Vr/JYXX0pQEkpGGf36QXg9Mcc1LPsZpo3rsGePHQtXUVHUMSIjA3n772dTIkvWqNFQou2lqaUElACyRo+2NVPD8t9Qv3Rp1DH1S5eiYflvNiWiZLTxP4/HvBolsHoN/M1nWROlAWWqlN2IiIioNaUkpCqHqTZDqgooFeOKayIiItopIkX/kb3YY9omufvsg9x99oFRVQXZ0AB3UVH0NuBpJlRegbrFiyE0DVljdoUrzlmOqSxz+HAMf+89GNXVCKxcCXdJCTyl9rbx7Qy1875t13hZU2utuRtlJjmlD83ng2+XXVC38Meo41QohMC6dci0ac1y4Xaj5x//iDV//3vEMaUXXWj7RULdzzkbK6/5E4DWs6kBQGguFJ90oq2Z6pcti2/czz/DN5jrUndVtQsWxDdu3jxk9O6d4DTOMWpqUffDD1CmRNaokXAXFTodiYiIiIjiZKotkGo9gOaFaR06ekMT9ne0IiIiIurqWKS2mSsvD8jLczqGbYyaWqy+9V8oe/tdKMMAAAiPB91PPRl9r78Wmjd6i9l04MrNhWvMGKdj7DQtKzP8tlJW5/qohIhjEKWTvP33j1mkBmD787341FNQMWMmqmfNBJoXgwWQNXY3R9aFL5gyBTVz52Lbq9OsJQGaZqbqOqAU+t/5b3hK4ltPu7NoGRnxjesCr9cUWdzHSVZWgpM4QwaCWHvXPdj84stQgYC1U9dRdMxR6H/zjV3i4jsiIiKiVCbVVki1to17TJhqNQABTUTvxkVEREREnYtTHSlhZCCAZWedi21vvR0uUAOACgax+fkX8cvvLoEyTQcTUjykbHvGZyS+YUMhWKTuUvIOPTTq/UoB7pLu8PbrZ1Miy8Ynn0bFjJkwje3HsZSAaQDV3y3AmrvutTUPYK3z3veWWzDgvvuQNXYshMcDLSsLBYcfjl1efQWFU6bYnil3wgSIGAVIkZGB3AkTbEpEyaj7WWfGHqRpyD/kkMSHsZmSEr9cchk2PfPc9gI1AJgmyt55Dz+dfjbMhgbnAhIRERFRVEpJmGp91DGmWg8V74kPIiIiIuoUnElNCbP19TdRt2hx23dKiaqvvkbFjJkoPDT9TminC2WaWHfPfRBooy3xDnXoplnWfa671rZ8lBw2P/t/4eOjresThABC5ZW2XrwgpcS6u+8L327rQotNTzyFPlf+0fYZwkIIFB55BAqPPMLWx41Ez8lGyTlnYdN/n2j7ahQhUHLOWdBz7G2NTsklb5+94S4pQWjz5ohjio45Gpor/X61rPxiFqpmzmr7TtNE/U/LsPW1N1B61hn2BiN7KAUlU/CENU+yExERhSnUAIg1SSIEhVoIsEMOERFR5xCNWypJtbypjzOpKWG2vDItettnTcPWV6fZF4jarWr2HCAUalHga37Oc8fCn5QA9PQrUFB0ZW+93eZx0bRJabXKtXOmYdnb70KFQtEHSYmNTz1rT6Ak1/vKK1B8wvEAAKVpUBBQjevKFx9/HHpfeYWT8ShJjHjzNej5+W3el73nHuj/79vtDWSTra++ZrXkjzbm5VdtSkNERERE7WfEHtKucURERETUGVhNooQJbtwYfRaHlAisi95uiZwV3GTNmNtxLeqm4mPTvqZldQEguHGTjQkpGaiQ9Yf8jsdF074mRkUFdJ/PlkwNy5fHNc6/YmWCk6QG4XKh6IQTUDF7HgJrmtZpU8jo1xdFJ54IkYazY6n9PN26Yezc2dj68qvY+uKLMGtr4Sntgd5XX4mcPfdwOl7CBNZvAKItT6IUAvzZR0RERJTEPJ08joiIiIg6A886U8K4C4tglJVHH9Ot2KY0tDPcRYUtZlC31eK79fsUJT4YJRXh0iGDRvj4iHRtiis317ZM3t694xrn6VGa4CSpoXLW1/jp3AuhpGrxPG9YtQZLTj4Dw599Avn77eNcQEoamqah5PRTUXL6qU5HsY27WzGgaS2vyNpxTFGhjYnITkoqKJF6rbNTskU5ERFRgghkwypAB6OMyoBApk2JiIiIugINqdfMOdXypj5+xSlhfEOHxFwOL3PECHvC0E7x7ToaQOv2zW1RCoDLhdy997IvICWFrN12j9rZXykAug492741jYtPOC7q8dqUq+SCc23LlKyUUvjlsiuhlGr1fRTCKnT88seroLi+KXVR3Y4/LmqBGppAtxNPsC8QEREREbWLEAK66Bt1jC76QkT7w5aIiIiIOh1nUlPCNKxeA2D7ed2m+kbT7/xCA+p/Y6vdZLby2r+0WmtY09pu6SwEIEMGzNpaaAUF9oclx3j69oGaOy98u+k5H36uC0DLsW8WNQCUf/xp+Hjd8TVI0xqLrwrY9tqb6NnFC9WVs76CWVMDgdYXoghhbWZVNaq+noP8ffd2LCfFz6yvx7Z3PkDNj4ugud0oOHB/5B+wL4TWOdcm1i75CdveeR9GVRUy+vZB9xOmwlPSvVM+djIqOGwSsnbdFbWLF0EZqsXvM8KlwduzB7qfdrKzIYmIiCipKWUC8AMQAHwshjpAE3kAhsBU6wA0NLsnE7roDU3kOJSMiIiIqOtikZoSJrh+A6RsPZMxfHJXodnap5SM6n9bAWB7EVopq+DXvK3zjutSBzduhptF6i4l5nNdAKipsTVT3eKlUAowjNb3NS0tKwRQt+xnW3Mlo8qZsyLOOm++znjlF1+ySJ0CKr+ajWUXX2FdeNC4lvjGZ56Hb8hgjHz2v/D26rnTH9v0+/HLFdei/KNPIXQdEAJKSqy++370v+4a9Pr9BZ31aSQVze1G/1tuwqKTz4IMbj+hqRQgpIY+119n63IGRERElDqUMiCxAQqVAJp+4XZBU90hUMxitc00kQuB4QD8UAhBwA0hfE7HIiIiIuqy2O6bEkbLzo7ZalfP40ndZOYuyI9YuGoqSu5YnHTl59kXkJKCu6AAUZ7qViHHm2FbHgBQoVDsMQpQgWhrknUNwuuNOUYpQGTY+z2k9qv/5VcsPe9imLW1AABlGFCNV2o0rFiJxaefC9mBY375dX9D+SfTrY9tmtbHlhIwJVbddhe2vPF2xz+JJGTW1eGnCy9t82unpMSvV18H/5p1DiQjOyhTpexGRETOUsqEieVQqABa/MVkFa5NrIVUFZCqqnGmNdlBCAEhfFbBmgVqIiKixGlq0ZhqG9mKRWpKGE+PHrHHdE/f9qDpYNDdd4RnUjZfjlNKazZq09ZUqBZeLzw9Sp0LTI7I2XMPRK1SA4DusnVNY9+woeGLJ3ZcU715DM+AAbZl2lHt4qXY+OKr2DztTQQ2bXYsR8HkQ6NeUNSkcPKhiQ9DHbL+f09DmWbb0+JNE/5Va1D24cc79bH9a9Zh29vvRV2bee39j6Tl2uVb3nwXwU2bt7dhaE5KyEAQG5/5P/uDERERUVJT2AogEGVEBSTWQGIVTCyBqTam5e9SRERERESRsEhNCeNftz72GM48SmpZQwa3uC2l1T65qSjdvIAtJWA2BBBYG/v7TunFqK6OPaaiEn4b2/vXLVkGoO0CdfNCdf2iJbZlatKwchUWHHUSFhxxPJZfdxN+ufoGzJtwEH6+6nqYDQ2xP0AnM8vL4xoX3LgpwUmoo8o++LjtQmoTTUPZR5/u1Mcu/2xGzKtJ/avXoOHX33bq4yezsg8+iv65mya2vfehfYGIiIgoJUiUtWO0gsIWSPAcCRERERF1HSxSU8JIf7Qrhi1OFGSofVTjiflIa9aGx6mmQnW9TckoWcgGf3zj6u17vrtyc6Ies0336bnZtmUCgODmLfjh+DNQu3hpyzukxJY33sHSCy+zffaEGef3RdbzuZ3sYv7clRJm3c59H826eggtdssjMw2PE7OuPvoPQPD3GSIiImrJ+p3eaP/7oRxKxff3FRERERFRqmORmhIma5ehgK5HHqDryBq+i32BqN1CVdVQpmq17nTz2dPNZ1UDgLdXT2fCkmOCZfHNxPX27pXgJNvl7j0hZgtrpYCcsWPsCdRo/RPPIlRRGbFtcOWsr1H59Te2ZvINjK/luW+Qc63RKT6+QQOjz/jVdWQOG7JTHztz2BAoI/paicLlQkb/vjv18ZNZ1vBh0X+f0TRkDt25ryslPylVym5EROS0nTvlJlHRyTmIiIiI7CdS9B/Zi0VqSpjSs8+I3nbUNNHjrNPsC0Tttu4/T7Ta19bs1OYtlBtWrrYpHSWLqnnz45q1bOfPeFdWVnzjiosTnKSlTa++Ef11Udex5fW37QsEIFReEdf3L1QZu607OavHOacj6gLxponS00/eqY9dePABcBcXRS6C6zqKjz4S7vz8nfr4yaz0jFOiP2+lRI9zzrAvEBERESU9IQQECnbyvUOdmoWIiIiIKFmxSE0Joxfkt5plC2x/W0rAVVTkTDiKS3CTtQZt87Wnm75/O67t27SvYdUaB5KSk4zKKkhpvR1p7WelAKPKviJnqDy+2QdGhHFKKZgNfshQ554gMiqrog8wTYS2tWftuo4LlZWH629tXYDSGMv2XNR+3U8+AfkH7Ne6kKxZv+71u+FPcc+c35FwuTD0gbshXK7Ws4p1Hd6S7uj/l2t36mMnu+zRo9D7soutGzu2PBcCRVMOR/FRR9gfjIiIiJKahm7YudNu7s6OQkRERESUlFikpoRZ8fc7wu2gd2Sa1v7f/n67/cEobp7S0jaLjTtuzYvXelamc4HJEcqw1lozTcAwgFBo+2YY1n4FwF24szMJ2s9bWhLfuJ6lLW5Lw8C6p1/A3H0Ox6yBY/FFv12x8JTzUf7lnE7J5ekefea20HV4e/XolMeKlys/D0Dj96mN53pTAdtVkG9rLmo/ze3G8CceRb/rr4Gn2XMge/RI7PLYg+h98YUd+vj5+07Erm++jMJJB4UL31qmDz3OOg27vvsaPN27dejjJ7N+116JoQ/chcxhQ8P7vL17YcBNN2DYQ/dAaPyVmoiIiFoSwgsdgwB42vV+2k7PwCYiIiIiSi0upwNQ+qpZtARAyyLHjirnzLMxEbWXb9DAVjOlo7UEBoCqufNRdPABiQ9HScMMGa3WLW8SPmYkIBv80H0+WzJlDR8G35BBaPj1t4hjXPl5KDhg3/BtZZpYctEV2PbxjO2DlELF13NRMWs2ht11C3qeuXOtkpuUnnEK1tz3SNtX7zRmKDnlhA49RntJf2D7223HAgCY9Q02pKGO0txu9L74QvT63fkIlVdAc7vhysvttI+fPXokhv/3YZgNDTBr6+DKz4Pm7hqzfbpNPRrdph4No6oKyjDhKiyAiLYGOKUFKQGZgt/maK/nRERkHyEyoatdoFALoAEKJhS2AWj7hVqgCEJk2JqRiIiIKDE0pN482VTLm/r4FafEkVHWxWykjChrPJLjmmbItlWAVEq12qRU8G/Y6EBSclKorqGxGB39Od+8GGoLT0bUNdS1nJbFtY0vvmYVqHd8p8arbH6+7u/wr+/Y8d3rvLOQ0bd3eBZqC0Kg+/HHIGfsrh16jPaSgWBc41QwvnGUHISmwVNc1KkF6uZ0nw+ebsVdpkDdnCsvD+6iQhaoiYiIKC5CCGgiB5roDl30gI4hAHbsQKZBoAQaejkRkYiIiIjIESxSU8K4G1vIRuMp7W5DEtpZIrzuqFWA3t4GOHIxctMb78O/aXPiw1HyCFoXM0Qr2CilYBidu75zNPUrV6PmhyURuzhICdSvXIPaJcvC+9Y99XzMj7vhhWkdyuXKy0W3E6ZCGmbrLgWaCyWnn2J74UvL8MY3zsdW/kREREREHSVEBlxiCHQMg4Z+0DAAOkZAF6W8CI6IiIiIuhQWqSlhiqdMBoDwDFvTtDar2GlVZ3qc0bHWuZRYZiAI04w9I77lO5mYf9RpiQlESalpJn00QgiUf/aFTYmAuqU/h99uWiu7+f9NcWsbxymlUPfz8sj97AFAStQtXRb5/jiUfzkHK+54oDGLarn5g/jxrN/DqK7p0GO0l1nf0OaM8ybhtef9fltzERElAylTdyMiouQmRAY0kQ9N5EIIPfY7EBEREaUUkaIb2YlFakoYI2RAKtWqVbRSjSfPlIJRZW8xhtrHrKkFgBYzqGMVIwEgsG49qn9cksholCRkY0v4eLiLChOYpCUto/U6bm0duk2ziIUQ0Dwx2hZrGjRvfLOOI1n72NOtMjXPZVTXYOOrb3XoMdpLy8ho9hxveV/z/R393ImIiIiIiIiIiIiImrBInYbMBj/WPfMS5h4yFV8Mm4DZex+OVQ/+F6HKKltzlH82EyrKLA4lga2fzLAvkM1kMIj1L76GeZNPxBfDJuDrCYdhxT2PILit3OlocVNo5yzqZja98mYnJqFkVb98JYDYrb6VUsjfa7xdsZA/cTy0TF/UMcLjQcF+E8O3c8ftFv2IlxKFB+3XoVxlM7+KPcbGGecAULDPBGheT6tCdYsCdUYG8vfZ09ZcRERERERERERERJS+WKROM0ZNLeYfeyaW/fnvqFm8DKGKStQvX4nlt92LuQdPhX/dBtuymLV1MceEyipsSGI/s74B3590Pn668q+o/mEJQhWVaFi5GivuehjfHHg06lesdjpiXPRMaw3aHWfCx0PJCIsBU1pRjetMR5tl31TAFvEePJ1Az8xEn9+fF7lDixDode5pcOfnhXcp04BA22uuN31+ZqiD62pHWiS7mdplv3TsMdrJlZuDXhecBQixvbW3bDbLWwj0vvAsuLKzbc1FRERERETUFVh/b9bBVOthqtUw1TooVRNXJzsiIiKiVMYidZr55aY7UL2osc1y819mpUJg42Ys+sOfnAkWSZoumPfbHQ+gcu5860bzz1FKhMoq8ON5l6XEHxt5e+wOoOWMyigTZlvofvThCUpFycQMBFvtayroNt8AwJWX12psIg245lL0OP0kAIDQdUDTrP8BlBx3FAbduP31UCmFqvkLw1l3zG59EIHKWbMTntuosX8ZhIE3XIXSk44FAAhXy69V6SnHYcB1V9ieiYgoGTi9rjTXpCYiSi9KGVCqAUoFUuKcACWeUgoS6yGxBkA1gHoANZBYB4nVUIoTAIiIKFVpKbqRnVxOB6DOE6qotNYyNds+K6VME1Vz56NmyTLkjNwl4Xk0nw9mXX3UMXp2VsJz2M2sq8f6516OeHZQmSZqf/oFVfO+R/6EcTana5+ckbtAy8mGrKpt1/u5iwpRsPeEBKWipGLKFhcvRDvRYvfseqHr2OXuW9H7gjOx6dW3ENi0GZ5u3VB60rHIGT2idT6j7Xyq2VUasqMzqcMfs+V61EI0fg0FHKksaC4Xhj9wB3pfdA42TXsLwS1b4S3pjtKTj0P2iGG25yEiIiIiSidKBSGxBUDzv6090FQ3CJHjVCxKAgpbAUS6ULkBEhuho7edkYiIiIhswyJ1GqlZ9BNUrAKKAKq+XWBLkdrXrw+CW8sizrxVCvAN7J/wHHar/Xk5zPqG6IN0HZXfLkj6IjUA9LvkQvx2+/2Q0iqiRZtN3XTfbq8/Z29Ickx242tJzOPCpYfbx9ste/gwDL75uqhjhBDIGT0CNYt/ilwk1jTkjh3doSwKgGpjhltTsVrTrPWfnZIzajhyRg137PGJiIiIiNKNUiFIrAaw40WxQUish1Cl0ES+A8nIaUpJKJTHGFUDpUIQwm1LJiIiIiI7ce56OtHj+HYqWFUQGxgN/qitoYWIPHMxlYm4vg8KwqbvQ0cV7Dcx/HY87b49ffsge5chCU5FyUL6/eGCa7RudZ6epeG1qZNV7wvPjjqLWegaepx+YoceQyH6RGkpAd/gQR16DCIiIiIiSh4SW9G6QL2dwma2dO6yGmD9lRidQl3ioxARERE5IDWqZBSX3DGjoPliz8Ar3HcvG9IAwS3b2ixeNb0tJRDYvM2WLHbKHj4UroI8KGV9joaxfZOy8fOXEoXNir/JLGfUcAivFwDCn5OUQCgEBIPWZhjb7yvYh22+u5LaX34Lf++B1s/1pi1YE731fzIoPfEYlJ481brR7CKSpvWsRzx0F7zdu3XoMVxFsd/f169Phx6DiIg6j1SpuxERkfOs4nN1rFFQEds9U3qL9wc2f7ATEVHqESn6j+zFInUacWVnoc95p0ec6ip0HcWHHYTMgf3syZNrravUvHjVvEANIeDKz7Uli500jwd9LjgTZhstfaUETBPI2W00ckanRktdPcOLPhecGS6wm+b2onSTpqK1lGCr4C7GU1wEYPuxseNay00XNZhVsU7MJI5/42asfOhJ/PSX27Diwf/Bv35Tm+OEpmH4/bdjxKN3I3fsKAi3C1qmD92OPhzjP3gVJVOP7HCWUFlF7LwbNnf4cYiIiIiIKBkYcY4LJjQFJav4lnoS8CU4BxEREZEzuCZ1mhn0l6tQ99tKbPv4c0DXraqRpgFSInvEMIx86A7bspSeeAxW3PkQIGXbbYCVQo/jj7Itj50Mfyjqha6hugCUUknf/rhJRr/eLdakjkQpYNtnX6HvBWfaF44c5evTq8XtSK2sVcj+9nVKKSy//UH8dt9jgLLadStT4pdb7sWAy87H0JuuadV2X2gaSo8/GqXHH52YTEbsk1T1q9Yk5LGJiIiIiMhueiePo3QihAtQuYg+2z4DQsRXzCYiIiJKNSxSpxnN48GYZx9F2Ywvsf6FaWhYvQ7e7sXocfJUdD/qMGgej21Zep99KtY+8TyMikoos2WBSug6vD1LUXrSsbblsYvpD2Dtky9GHVO79BdUffcD8vcYa0+oDqr/dSWA6AXqJpXzFyY2DCWV4JatTkeIaNXDT+G3ux8N31bNKugrH3wCruwsDPrTJU5Ei0oINjkhIkoWUgIyNa4pbCHSRWNERGQvqwjpg7X2cJRxyLEnECUdDaWQ8KPt2fQuaOjVxn4iIqJUkYJ/UJOtWKROQ0LTUDzpABRPOsDRHJ7iQox/+/+w8Kw/oGHFagiXdWWwMkxk7TIEY557FK7sLEczJkLtsl9h1NRGH6RrKJ/zbcoUqRs2xt9+2GzwJzAJJRu98TmsVMSVBiyavYVX0x/Ab/c+FnXMigf+h35/OBeurEybUgHC64EKRG/llzV0kE1piIiIiIgo0TR0g0S0bkl5EMK+CQWUXITQoan+UKiEQgWsFvE6BPIhUGBd6EBERESUpvibDiVU1pBB2Hv2RyifNQeVc+cDQqBwv72Qv9f4lGl13W5p+HkZ1XVxj7Vztj45z1NYAFd+HkIVVRHHKAXk7zbaxlRA+dfzYMRYB9usq0fZF7NRcuQkm1IBPU86FuufnxZ1TK8zTrApDRERERERJZoQmdBUL0hsBLBjq4sMCABKlQHIhRBu+wOS44TQIVAEoMjpKERERES2YpGaEk5oGooO3AdFB+7jdBRbZA8bDFduDozqmsiDTInCvfe0L1RHNRbem9p9R6rDKwVoPp9NoShZdD/mCKx/9uU2Z1M3HTP5+060NZNZG9+FFfGO6yz9L7sAG157x5pNvWP/fE1D9i6D0e3wg23NREREREREiSVEDjSVDaAGCn4AtQBMACEAIVh/GZQDqhuEyHcsJxERERGRnbjwJVEn0zO86HfRmREruULXkbvbKOSN29XmZDsvsGUblGpdU1MKME3AMKxNSsCM0cqY0k/db6thNpsQsOOxYkpgy0ef25opa8jA+MYNHpDgJK0fb/xrT8FTXGjtcOmAbv0oztt9V4x77WloLl4/RkSULKRqXJc61TYV+3MjIiL7KCUB1EFBAqiHVaBuYxy2QqkYy4elEKUMKFUPpRqgdjyhQERERGlOS9GN7MQz4UQJMOjaS1C9ZBm2fvQ5oOtWJbexaJ3RqxS7PftQSrU7d+VkhYuOTf9L2XbR2r+5HBVzF6Bgwm72hiTHBDZvBdT2w7zp0G5+jAS2bLM1U86IocjbfTSqfliCFhX0Jo2zlnNtbkMOAAV7jcf+P8zElg+no3rBIgiPG90OPRB548em1OsCERERERHFJlUlgDIAqnGLTqEcAtkJTpVYShlQ2AqgeecqDVAFAPL5dw8RERERAWCRmighNI8Hu//fI9jy4QysffYV1C1fCU9RAXqeMhW9Tp0KV05q/cGZObA/yr76rs3iY1vmnnARDv7xM3gK823JR87y9emF2l9XAKZsc8Y9NAFf7x625xr1wD/xzeGnQfoDUOb2mQpC1yE8box+6DbHTo5oHg9Kjz0Cpcce4cjjExERERFR4klVAatA3R4BKGVCCD0RkRJOKRMK6wAYO9wjoVAGwIBANweSEREREVGy4dx1ogQRuo6Sow7F+GlP4IAF0zHxs9fQ76IzU65ADQCD/3xJi8JjrC5dRk0t1r34ZmJDUdLoc9aJbc9WbiIV+px7in2BGuWM3AUTp7+GkqMPC7fUhqah2xEHY+Kn05DnwCxqIiIiIqJ4KRWCVNsg1SpItQJSrYVSVY2toynZWd+n9haom6Tu91ihAq0L1M1VQSkuE0ZEREREnElNRHHwFBZA6BqUjPMPZaWwdfpXGHjZeYkNRkmhZMohKDpgIsq+nGtNs29O15A3egR6nXKsI9myhw7C2KfuR6i6BsFt5fAUFcCdl+tIFiIiSj1KpmaZgPUrotSnVAAKG9CyPXSocSZqLaB6QAjOO0hmCtU7+Z4aUvV0nbXudOzPW6EaAsWJD0REREQOEo1bKkm1vKmPf9EQUUx1v62GamzlHC8ZinblNKUToesY//Jj6HfBadC8nu37XS70OvlY7PnOs9AzvA4mBNy5Ocga2I8FaiIiIiJKekopKGxC5PWLA42zVSm5+Xfy/VJ5zWaF+C7v4vkCIiIiIkrVSzOJyFaaxx1+O65Cta6hcMJuiQtESUf3ZWDkXTdh6F+vROX8H6CkRN5uo+EtLnQ6GhERERFRimkAYMYYUw2lCjibOqm19b0RiHzxAQBkQKAgQXns0DRjKtaJg9Rcb5ucZ615XgWgFtbrpBsCOQBy+HrYyRQkgDoA9bCe0x4AORBwR30/IiKi9mCRmohiyh4yABm9SuFfvymu8UII9D3P/jWIyXnu/Fx0O2Q/p2MQEREREaUsFdcMXAVrNqon1sAYH0XBKkA0FXx0ADkAfBBsd9hBuWi79XVbRVwXBPJgzaJO3UKbEAJK5SBWy2+rqEjUPkqFGpdBaH4RT5DLICSAQgjARrT8WjcAqIJCEQTYpY6IiDoHi9REFJPQdeSPH4tN6z+KOU5BYex/74Kvdw+b0hERERElhkzRNallKoYmojABEXMeamewZsltAhDY4Z56AJlQ6M5CdQdoIgNSudB2a+umr2sGBHqmVWFNoAAKtYj8EzQLgLPLQSUjBRPWc8+Edbo2E4KrNIZZyyBsRuQuEwEolHe5tc6t48aE9ZOjc2Y4WxcvbULkr3UZFFwQyOyUxyOi9CWgpdzPslTLmw5YpCaimJRpYuvs7yEloGlWy28hWv4PAN0nH4Bhf7kcebsOdzYwERERERFRysoEYq45rQMdLkhsResCdZN6AOUAijr4GF2bQC8orEXbBVsXBNJv5qcQbkD1alxXPbTDvTkQ6JbCa253PqsgWNm4Nac1zljNtj1TcgoACMYYUwOlCtPuOdUWBQPWa3Rds30eAAWdUDyuQ+x146sAFqmJiKgTsEhNRDHV/LwCgY1bAKBFobrptlKA0DXk77EbC9REREREREQdIIQXSmUAUdp+C+R3qNBnFTjqY4yqgUIBZ5R0gBBuKFUK64KA5gVbH4DuECI912YWwguovrCO4SCsmeOZEIKnIVurQusCNWBd2LAVCgICWfZG2knblw9ogJW/aQ3jzjjO410GIQggoxMeL3lZr987tj0HrM99MxSKO9hSvyGOMX6oxqOTiIioI/jbIRHFJIMtr35us4WkEK3GEREREaUytvsmIqcIlEBhI9qeOZgHdHg90HiKEArW7EVfBx+r61KohxBbGm81PwUXArABCt3StmWudRGFDzx+IrNa7lfGGFUOhcykLwZahdNNaDkDtx5AZWPRtKMzwpP787dXBSK34gasdtxZHbjAKN4FJxT4fSGi6ARS73Ui1fKmPl4OS0QxZQ/pDz0z+pWoyjBRsPsomxIRERERERGlL2uGbQ9YxWgN1gkzN4BiCFFoY7tkO1bHTk9WAXJb1BHAFiiUNc5Apa6nHrGfYwZit7l2lnX8bkbkFtHboOKaCR1NPBc7aLBmb9tPQUHBD4UqKFRDtWp131mPIwHUxhwVe0w08awZ72KXDSIi6hT8aUJEMbmyMtHvnJMg9LZfMoSuwde3J7ofup/NyYiIiIiIiNKPggEhNkKIWghhzUoVwoQQ5UCnFDXjKUK0Zxy1Vo/4+nHUoGMFpeSlEIJCfePGNh+tRZsN21yyf+0a0Hr98R1VdugRhPAgVqFaIC/ietRWETkEBaPTLwpRCAJYD2smeQWstaLXQ2FLAo77WGtFt3dcW7IReyZhXgc+PqUDhQAUKhu3jhxvRNTVsd03EcVl+N+vRPncBahcuASQ23+hFy4dus+HCS8+hP9v787jpCju/oF/emaP2Xu57wAiAgqKnCIiqChBUcALWGMMGqPm0cfEGGOIj8fPJBiNiUnUGE2iSRQhiXigxqjgLcqhgIggKB4cC7vA3ufM9O+Pmt4+po/qmdnZHfi8ee2LmZ6a7uqruqe+VdVKgO1eiIiIiIg6K61ivrMPG3uk8+6VWAfRWzDxIb8V5EBFLsRw3k4KUvQs2SOVU9DOeP5pv62roKLwsDk3RcDiAMzHlwIVRQBKDpv1TJ5stWxnr76tl0iTimcYh+D8qAJxfFnnLoLE1RDlpna+ZUNFSUqG2teHObcLRjdAPCO6dwqPeWu9m3EoXRX6OiZeP6cgCBU9AOx3SJEPJPXMa8pkauzZ5+ZRIGqgIhtAT943EJFvnf0uh4g6ieyiQpzy8uPY+ciT+OKRJ9Hw1W5kFRZgwILZGHLdZSgYNKCjs0hERESUUnwmNR0uRIViDUSFOaAiC6KnVBGDRZ1SM7x7JVbHAjLJ7L+eAPbAvjdnNoBuScyb4mnBJNXwfyD2fyT2l/nVdM5BOxWiHAoD6J7ubHVS+RDHgNuFOxcKstOUn0TJDm0dBRIMYInRJaqhqsaArEZMU5QaAF0N34lCBNOs+WuFGIK8FIpNYx/RUKgR4pqpnZeFUGxHlqiG+/5rBtCEVD2bXUEWVORArINWfhjLFSWWn4IULM3u2FTAgVmPXGIY+3KHT1sB7IGKfhwKnnRiOKCOzoU/mZbfw0Dm3/0SUdpk5edh6PWXY+j1l3d0VoiIiIiISIKKRgAVlqlhiKFXG6GiJwPVnU6DRJoIxH5MPHglgh39IIabroUejCmCaMCQOZXMIhilDZsdgQiEFUCsR0f16grDHDzSKJb/ra8zXS3cg3YNUNECpYOeHdyZKFCgogtEr3MnXV0+O5KIIfEVxdhzWDu/tIB1LVR0MVzTauEeQK+CinwohupxUZbsh/k54M0A6qGiAEBXyzVT60VuPa+N+apDqoLUQh70xkV2y81CMlX+KiIQx6QC+0YFjRDrXZjwMihTuZVVgDj+asHh4InIDwapiYiIiIiIiA5DorK90iVFM0TPRlYmdi5+eiUmRwRwS2N/mUkEVKzDo0cgju16qOhlCkKlTxPsenvGUyzpMpfogSrzfO16gEHq2PZqgHNv6gBEOR1KZ7YSkAVzUNdJMo0xtPPbGpS1Dp8vemurbcEyL/UwXwMroa+Ldd71EOtaEpuiLc+r4UnqhrjRe3k70cqTZHpvy5zDtWCQ+kgkc57zvpKI/MmcZrFE1OHCjU1oLK9ApFnmpoSIiIiIiDpWA7yDX7Vtz6omQUUEKhpif07Phe4MDqfet8k4COfnd2s9AjuCsQe1XRBLe68Nn1sZG0o108mUJ3ZDzB+JWmJ/Wo/VgOEvGJvecWW0ihaoOAAVe2N/VUmVicmNzmDtQW39zJpGCyB70c85cf41uSwfEM/eVWNTjENf25XHCsx5SgXt0QBenNZDhkydXyvvHcgBjwsi8oc9qYnIU822z7Hllw/i63/+B2o4jEAoBwPLZuPYRdegYGC/js4eERERUbvgM6kp88lUNEeRzHNCDyei53kV9OFbtekhiCFe07WNZJZzeD8XVAxTXw09gJQNoASKpWegCJi59SoEgGaoaO2A5/o69Y51Cli1AtgHFb07qOd3qsj0DO+4Y1f0vG+AXu7ldeCQ8MZAolMwMwpxbKS357mKWojy0Eg8GkBFDyim3t3GwLU1UKy2TVehJvF4CS1o78SrQYgT47Fo3R92y9B6MudbpjmxDvefCTItv0TUeWkNrzJJpuU383GLE5GrQx9uwasnXYCv//ki1LD44RFtasEXf1+OVyaej9rtX3RsBomIiIiIyIFsRTMrpEWPsEpYA9RCE0TwMF0tQAI4kveJioMQ+0J7prMSe10Z+8xIdpSvjhgNrCD2v5+gmQoRnI9ADPPcikzqlSYCkAWGKcaewcb1T/8wwSpUqKgGsAci+FoD4BCAPVANvWPTKwJjb1sFgVhvY22alqf05k1FE+ID1EaVsWC/Rhvy2riftXUIIn59EsuVnHBs6Qr04a4Vhz9ADzYD8c95dtJsyZdX8DyV1w6tx72XXI/PtWB7HfRGGxqZBj1ZSTQ4OFJp27wCwF4A5RDlfWcescVKZp/zUQ5E5A+D1ETkSFVVvL/wJkQam6CGzcMJqeEIWqtqsf77t3ZQ7oiIiIiIyJ21N6ZdTz0tKHKka4I58GAVgdxzOlPBGKTSWAM/Hf0c4whEZXsjUjl0s4oGiIYCYn2V2D/E3olnTBt7TnfmIImxd66ffDZCRTlEoH5/7M+rt3hnUgRRroj11/ehFsQMQemQIEYtRGDaTjXSd35biSCnMeCnbzO7siAdtGc5uwXPjQ16VNgHgbV8p+Iak0ijq5DH9xSYA7JZkssxlr0y6+bUUz8MtPVYr4VMWSqOi2KJ5WkB+ihEELoWejC6ESJAehDi2D8EETSthVg3t2uhxpjX1ti8dsf+yiGOj8xpYJOcMET5UQtxL2G33irEdj4I0WgqCv2+Yj86piFVIryOPQDo0u65IKLDSyaPH0RE7ezgmk2o+Xi74+dqJIL9r7+P2h1foujogWnMGREREVH743DflPm0Sk8t0KANtxqI9RqMQutfyB5Rdj2oreogV0GbLC1oInohGveNvt+AjqnS0YZEtwZN8wCUIvlgVBWMAWqNduyKz6qgB2C8egtqQt5JUk7rJWsXsNDXUTv/jD15zWdjGCKwUQpzL+XOSUErnPchINYninT2mxGjIDgFqDU1UFGY5rJQhfd2SHVPXBnNsAbOAX1/iv2oBfWNz2RWTMeyfq1JxZDXefDeh9qzvDVaHs3Ho36uqbE0JbH3MuWE9ZwugB7Ud2I9b7URE6zXnRqIRh5FcN9eRRDB0CaYjx9tO/eIfbsuNk/ZYLG2fVsN06zHp3EId0BcC6wjXEQgyukGAN0Rvy5a4FwbXj0Hokd7poUpohCBZ+vzv4MAusLco7gezo2NVAAHAPRG5254BYh7oEaI+0u7of2LoUhfl+lIoNhcSzq7TMvv4YDNpYnIUfUW5wC1Ue3Wz9o5J0RERERE5F8ztJ54CuKDRnqVQLp7O2k9uRrReYa5bPVOkrZAkRbscep9p+1TO1rlfxX0YHKq9q82JLpdRXtj7LNklyW2sd3a6dMihmkBiICNmwKXbdme9GfxmpnPRadAYLxquB+DWu/2Jo907c05YCeObBXiGE2nZsQfm3aBM6cepFGIgF8lxFC9VZArM7w0uVbg659Zg2Dtz62SXmkL1NZCHJdiqvFz8/fjz13/+ZEbTcDYpEd/ZEB8gwk9tbEHvWz5ZaxOL7RM14bj1pYRRHzwuxbODaPcPhPEnLNi5Zpi2N5iaH3xeT3EvvFbJtfAPHy7eX8qhufLiiHfrQFqoxbElwctAPbF8tYc+6uNTUt3ueCkBWI7aA0J7MpTLbBsd25GoD+yQkvrNVKDdl/UuSmIQm9kZB3pJAjFsSd5IiIQ+6Ey9icz2kArxH7ZH/tOpvRQJzqyZVoTJSJKo6yCfO9EAIL5ed6JiIiIiIgozaIOgQJrX7B09RhQYd8LNxui15FTIFEbEjMcS1MA72dmtkIPTGVD9Lh1W09rsNzYOyiV6qAHIIpgfh6qtuQmqLFQnl0AU+9RHIG5WqcZImBgzHMDxDbrBucqIG1412gsbQ7st1UD3ANzrRD71rpOKkRFsTbUbDCWJtt2OV7BsfhnB5dC7D+7Cv4QvIce1QIQsv04wtCPlxyX7+VBD7oYzzbngKQ77Xmm1l6ZWq9Fa4A1H6KHqN18tYCIFsTLg9xzaL1ogUEvTUjvc6m1faz39tXoPX2NoxQYaUGPqGVaA/Rer6lkV/ZY920EogenMQATgDjWU9GLUe/h75VL/b0xWGU+3s1lVqLHWT3EOmoBVGMOotD3azOsQWG3Ri/m8kS2vNeGtw7G1lYPSusjBuj7UTGV1VF497yuhTjPnbZ/fVvQ3hx8147jCpfvytLOFe01DHtY26cyQ+TXQe8ZHkX8uWR0CGI7ddQzjaPQh+M2qoG4zhjrPpst6YzbW9sPtRDnpDa0N2zSG4+5FtjdEyRGe4SJAnEspaqhVnXb3YnGfH5FIMpGt1E/ZEZWaIQ4Hoy0Rg/dEF/Oace99fpTCVFu9JJYJhF1FAapichR7zMnI5Cbg2izc8uz7NJidJ88No25IiIiIiIif+yHHBZTFShtQ4wGoAdqVCDWS8tbK0TFZBDOz/TUeuHaBTlbIXq99EJ8wM9uSNQGiECH0zCidpXMiKW3q/zWgh5i6F374WqT7Zmq9Wozqor9WfPV6BmoFVqhV+uEISr/7Wi9unoifvvWwD7Q0AWiQt44VK8xnTV/2vFVB3MluzYcqjXI1gA9gGzfkML8XnVMI/ZXNrR9bg5kZ8P5meuNMPdOViCGMs23yQfgHAwuhP3wvNYAhtiOyQ2vbz1/ohAV83bHZ0Msz10teWuEWA/jNq2DqPTvAvuguxZYa4A+RLW2rbzY7cNU9ELW8qUNG6wFY+yGbBblkn4+W3MYiA0Jbq0m1XpLOp3/tbHvWBvua8dKC8S5XQr7IJE1WGP3WoU5wBWB6HVqpQUAi+HcAEBrkKLG8uUUuDIeozINduLDVtZ5qXHrYc17K/RriNNSFKixRyAYh8lXkGXI3yHovYCNz0M35tBpXbyOS+36YGyoohqWoedTX44CUc52jU2T6RUfhTh27BocqNCH5bYrL41DmSfOuk7G+attKZosn1nzqf2vNU7SGiq50YKQqeI0ooVdOmPvZ+tnhyCOKW2fGO9LnObdgPhrnDW9bIO4VugN9dyC+M2IvxeogzivusO9MVYY+r2f23XTi9bIwjrvKpivi07XnFbEB6iNDkDcLxrLL6d9B4hjbh/EcOpWdvlyuqYTUXvJqCD1EmVY/MRLJqPs8b+aJrVU1eCLJStQs20nsosK8I0Lv4kuo0ekNC//7HMywuXmQr9M3eb6nU23/wGf/fmfiDS3onBwf0z6269QMmKIY/qK9zfgjVlXo+VQDZSAgl5nTMKU5/6I7Gz3Voe1tbVYUTwubvpFLZvjvluxdhNWTbsUkQZxY5E/qB9mbv0PcnOdW17a7Qe3dd9039+w+Ye/NE2b8uwDGHDedMfvbLz1d9hy18NQw2EowSCGXvstjPvtIsf0nz7zHNbN/bFp2tCfX48xN34XXz/1XxxY+xECWUH0mTEFvc6YBEVR8PWzr2LNVbeitboWwdxcDL/xcoy65fuOy2ipq8N/Rs9B/ee7AAA5XUtx1nvLUOzyLOYlOccCreabcK/jxK8351+PXcteansfyA9hfv1G1++sOvtKlP/nzbb331gwC6csuTcuXU6XEgy99tvY9pu/INxqf8MUrqzBstCotvdz6j5AfkEBVs5YiH2vvgeoKgKhXEz6268w8KJvuubL77H11kXX4+vlLwNqFIGcHIz9w88w9Mr5jum3L30WaxfcZJp2xlt/Q69TTnL8zie/eRSb73wQkaYmZBUWYNzvf4ZBC851TB8Nh7H7uVXY//Z6KIqCXqdNRJ+ZpyIQdG61+NXTr2DDTfeg5VA1crqUYPTdP8Y35p7pmP79N9/EZ1OvNE3LG3kU5mx6ERXvrMfuFa8h2tyCLqNH4BsXz0RWrKf7M6PPRcPGT03fG7v1OQwbFr/dKysr8XKPyaZpI3/1Ixx/0/cc82VbRsN9H/rd558/sQLvL7wZaqu4+ewyYRRmvv9vx/ROyzivdj2e7zYJ0Rb9RnTC3+/C0ZfOtV+P84Zj/lNPYfeK17D/rXVQFAU9p01A37OnIhAM4ukBp6Jxl15RMPT6SzH+vlt85QnfORfzH7kLe154HfvfXAdVVdHz1PHoN2saAllZvreV0/6Y1/wR1nzv/7D3pbegRlV0HXscJj3xa4S6luKrp/6LDTff23Ysnvjrn2DA7DMcl7H+4cew7arFpmnFU8dg1utPOn5HJp/H/ezqtmv3Cz++C9W/ftScoE83LNj9Dg68vxG7nl2JcEMjSkcNw8D5ZyO70PxjSPa4fP7Ueah5a4Np2tiVf8Sw00+3z3fxiUCteTiyC5o2uV4/D37wMb5+6mW01tWjZPhRGFh2LnJKnHtebL73L9h0491t77O6FOOCivcQdClPAGBJ1rC4+p/QU4tx/vnn26e320Z/vgllV1xhm/7TPz6JLXf9CeH6RuT16YHxD/8/9Jw0xjE/FRUVeKXnKaZpfS+eiWnL7nP8zksnXYyD7+vXsv7zZ+LUJ53TN1RW4tWTFqD+i92AAhQdMwjT330SoZISx+/41VxXh1cnl6Fmyw5ABfIH9Mb0t55AQf8+jt/xe97u3LkTq48yXytLJ4/G2W8vc/xOS00dNt1yHyreXgclGMSAC2ZgxI2XI5CVUbf5nZaqqlDVdA+DnLxMzDO1D6de1Mb3+rCg9RCVclpgCxAVhwUQFXZ2lXXa8y6t8iGCMkaNcA8AaM/oNPZ6rYHzsKetEJWSPSzz2Afnyl4tUGstI7V7Qr2iNP5ZuloAX6MNqW2Ui/iAICAqja0Bapl8eWmEHhyTHUrUeK/kNhTmIYiKZq3SNwD3YTa14Ii1klgb0tVOU2wZTs/5th6/Tvu1CgoaYB8kaoRYd2vQowrxQ8tqx2BjLL21d5hdYBAQ2741bhkK6mAMSuu9K5Mpo637oA7uQR9tON2Q4b1T5b/WE7+7ZXorRCDcSHs2eRWAPogPtNiVF8Z1d8qz1htfCxjnwz1YYl0Xredgd5h77OqNZ5yHV1cgeqdqPXbzILa3V1CtDuYg9R6bPGnHTl+X+Xj1Wj4AsU7uQ0GLcjMP5gCOCtEQyO4ctgZ7ZHr1G3Omhyzd0ojPteuAFthvgn3ZGIzly25uiu3/el60P+2Z8NZguznf5nlHoTqeo/YheHfavIyBPecGN+bPnY47rRGZ+/aOn2Zdthu7ALX+md4kIWJIbzcP6zKtAXq7wHaqhrbfD/ugpbG8MtKCwG4OQQ90amWNHWtjAbftaWRX1lXBfhj0LIj7BqMWODdWC0OUQ3a/Xe0a0WnP1XaLQRgbfxj3s7WcsQuca9PLIe7jjMupclmmMY12zdUaubjR0hiXY3cfB4gyvQ5iX/NJucmTPf47k0zLb+ZT1AypwXCqZNZoFX6f//0ZrLnqVkSbW6BkBQFVhRqOoN+s03Dyk/fGVV6nOi+hwf1x/ucrTdOqNm/Hf06cDTUcfzPY95xpmPb8n+KmrxgxE7VbP7ddxuR//wEDLzjLd94AAMcORtnHIqD5zODT0PCF9eZZGHbTdzH2Vz+Om+42/6P+twwn/e42X/mxVtS2tLTg33knAFH7m7ELa9cjp9DcItRznQEo2VmACqjhMEpGHYPGvRVoqYz/YaZkBTF3z5sI9TD/KFt7/Z3Y/vvHbefdbfIYzHg7PiDjlq+uZ03CN//7mGe+vbgtY+TiH+L4m682TWs8eBBPd5vk+J25DRuQl2duAfze3Y/g85/8OrmMxmSXFuOiQ2vjpn+6di3WTfiW4/f6/2ABTv3t7W3vD27ZgZeOO8c2bSAvF/MbNsVNXxIYDjgVd7nZKGvabJrUXFuL5d0nQW2Jv9HJLi3G3IrVyLIEAA5t+ASvz7oKjbv3iWMOgNoaRuGQb2DaC39C8bCjTOkjkQieHTAVTXutP/iBUO/umP3lawjmmFtISh3vWUFAUaC2hpFdUoTJS3+D12de6fIFoCyqn4v/6jERrZVVjsntAix+z3W/6QFgWcFoRBrsW21OXn4/BloC+0vOOQd4cYfrchJh3Lfo1gU44NzCM5FtFbcMCX63r51gQR4i9fHbN9SnJ2Z//XpcYDSRfZhsHu20He/hMLIK8nHy4/eg/+zpvvKY0uM3O4iyli2mSa21dXhn/g3Y8+IbhvxGEAzlYMIjP8fgS86Lm82S4AjHa+GIn16FE395g+1n7XkuNlUewrODTrM9TkpPGI6zNzwbN33FmNmo/XCrdH6qduzAi0Pty3cAmFP/IfLzzT123rnkRny5ZIVt+qHXfgvj//B/jvOT9eGie/HJ4odtP+s3dzqmLn/ANE1VVTwZGO46z7h9kX880OhUiW9/Tm1/eBnWXn1b3PUtkJuDM1Y+hh4c6SRhNTU1KCkpwXM9hqAg0BHPMU1OfTSC8yo+Q3V1NYqLnYI/dGTYHfs/2coWu+BrFdyfH5kDc7CrHHK9kbUgjgpgr0R6Y+WmXUWrlV3woxYisCPT06ofRCDPrSLdWglu/7s7nrbuu11T6YLQK8xllmHcJ25BVycyQ3Rq28jPMowVwV7HrHbN62d4L3OcGJfRBPfnqALxvVEPwDnYrukKPRgcjctX/NZLJGCdA3PDDL/HVgW8K/OtPftllqHNXxsVwc9xor0/BPvzqgTxvfKcgh5Gxn3uFLDyEoTcc5S1ZfnZVoB8GS1z7hnlQg/gyJwjxkC1Cn09zD2idXbBxfao1LduKz/LUA25ki1PDkK1GaJfCDgE4v2Wiw3Qe3u7pe8B+x6zjRDll9f3NU49nJ3Ijvbgp4dyH+jnh9f2spYNifA6D+0C1fvg71yXOR5ViGNYOwe90lsDzzLllvEckSl/rOVpNdwbvlivB25llvHY8nuN9rsexu943ZNpjNs3CnFf6sa5sQx5035PH6x6D8XF6Xy8R/JqaurQtfQk/pZOo4xoDiJTkb1EGYY9L72J975zM6JNzSI43RpuCwzv+c8beLfsxnbPS9POXab3kUjEMUANAHteeB1rr/t/pmmvnfM9xwA1ALxz4XVobY3/UVFTY9eC3WLLTjQ2NmLVjCscA9QAsO3uP6Pmsy9N07zW/fPfLzG9f7JotGd2nhtl7pH6VNEYx0p5APh3yXjT++XHOPfwMxLHgriwV3/0qW2AGgDUcARP959mmlb+5lrHADUAHHjnA6y/8VemaV7b6uDLqyVy7c5rGZt/+tu4aW4BagB4On903LRUBUqcg6AAACD0SURBVKgBoLWqBs8eHd+D3i1ADQC77jM3AnAKUANAtLEZ/+5u7hn91IApzgFqAGhuxcvTLzNNeqbPFNsANSDWY8Vg87HXuHc/Xj3922gqFwFntTXcFmCs/2I3Xp12KVqqzOfoC8Nn2gaoAaCpvBLPH2tez2XD3Xuia9RwpG3ZrTV17gFqAFCBLfc8AgDYsPgh1wA1ACwJjTS/lyyj/bCmX95vimOAGgDeOf/a+IntEKAGzPvWLUANxAKNxveS28G0DJ8SDf7aBR4BoGnvfrw4YqZ5Gd3G26ZNRT78ajveVSBc34i3LrgOle9tkD4uZdK9PPca03dctUawYcMG06R35t+Avf99y5JfFZHGZqy+9CbsffltU/plRaNdr4WfLP4T6uvjf0hKrXMvvXyUSv+Xv7S9fm7IGY7HSdXGrVh11uWmaRUVFa4Bars8uAWoAeCZghNN77c/sswxQA0A2+9/HLv+84brPL3sf3udY4AaAHY//So+vsc8qo9XgNpqx7LlrgFqIH5b7Xv9fay96lbb61u0uQWvTrsUTQerfOWDiA5XqQgcNCN+iEe3ADUgevQYyyi/w2XL9qYyBhslfhPbVkL76bnVJJHeq+IzVWQq1I2Mvab3pzIjDmSGBQXig6Zux6z1M69GCRrjfbtXgBqIP5a8AtTWZcSzD/r47WHk/CgubzK9zQBzr3yZbaXNG9CH3farCs7nlda73ch9W+vf0yT228rfOSY7hLk1LzLby+82NR6vMtvKWB7IBh/TQeaZx87cA9R2n4lHLYhHBAQMnysSQVtZVUmm8wpQJ6tUcu5+ettrDUraqzGDkczxbhc0lT3XZa4FGgWizG6B3HpbywaZckvLt+w9lrFcjMJ7ZIZKm2luPcitn3k9f12TzCMgZO/hjNvTq5ETIDeSBhGlQqcPUn/6ySfSaT+6435AsS8o1UgUu1esQtVHqR1q2Y6xEnHTLfc5Bqg1Ox5aanq/90XvytRVU+ODes+XeAcNABGILLdUiNt5aYw+LOhHv/2z1LyN667Wef8grdusDz18cMsOx6Bgm2gUu158ve1t0/ZdzmkTpLa04ouleoX3G2d7BPgAbPuNPhTttq3uFfKadARw/tlFH/Z92x/lht8tf3t92+v2yGP9Z1+b3i8ZMlXqe0uCIi/rLEPH22k5cAgthmGcm3d5V8BUrnyv7XX56+85BmI0jbvK0XRA/8G+/aGlCFfXQY3E38CokQia9h3A548tb5tW99Ue1O34Mi6tUf1nX6HO0PAlsm2n53rEL1yuZf6Gm0RjhC2L4hs3xGnWz9NwWP7HfmWluLmVPa4aGvSKz6Y93vvwpUkXtb1OV4DUUzRqG0xMtfZe39rtX6Jul6Gy9aBMBbCzdsuvKn70fvzLh1I628pnVvlKv+XEeW2vD364BXtefMO2bAAAKAo23/mgaVJE4vr5fO9TPNPY2i/zo93gu2K48a+ffhnhGvdjufyVdxAxlAnWIb69rL/pbu9EACo36PeG66/7uWf6d+f90Fc+rN447xrPNJt+pj8yY8kx7g3C2tIZzoM183/qO1/rPa6HajiCDTfd43u+RETOjNcB2etJMoFQ2Xso4+9t2V6p1t/ospWjCuTWXRtutjNLR/68GjJokrlfll2Gn8CCley2MqYrR/zwwtr/dhX56QgIyga4mxxeu9HOddmAhFEY3g0aauG/0Uuqhg2WYTckupN0NBAxktkObkP1apyO3faUzO/ORPKpr58WrFYQhPNz7RPllTcFzgFK2UYNTvvK6ftZEKNByDxn3k9egNQ9g16GbOOoRPn8PY1ayDf2MZItJ7TRShIJpsrmy0/jKOv1UrahiUzQOJVkj8nkGsoQkZxOH6Red+wc6bQH3tvo2vNIyQriq6deTjgvS/JGeSey2Pnocs80ajiC6q2fAQDqvpQb0uLA+/HDGadauEYviD+6of0rOd+e+z9S6d5f6L8i168NN/+m7bVXsBKAKRC4fsTs9siSyXPDZkilC1fpPxA/+MEvpL7z5tnOzxxOla1/+If+5nPJXgaxU3uHZLB97XcSP07WXXun3DKuvr3t9ZdLX4DqUv5AVfHlshfb3m68Of4Z4HY23Jy6nuzt4YXxc6XTWp9x7UXrMfnxvX/xSCkcfK/9y8VEvHn6dzo6Cymx8SeZEexSIxHsXvFau8x7San/oZO/Xv6yGOLbSTSKirfXo6lC/EDc9ie5Mi5SJ1sha89vQ4GP7njAOxGA7ZJltNGGxaJRwbZf/9UjpbBqmt5QL9rs/YM5XJtcQ5HWQ96VY6aRD7YnUgkhZ+cqvcFE1Sbvhpe7n1vpmYbcRaOZ+0ckpDKYYKwwl60E9tvT12l5qZZMgFb2u8lUlPvpoZZOfnt8yu7/ZHoHp0MyAW6vIVGTmZ/fyvP23M5+LzzG9ZAJoobhvzxJZ0ORdAdY2pNssD3d2qO86+yNidqLMYDdDWII5J4wP1u9vZZ7pEm03PV7D5TIdUo2b36uNYk2ZOmsP17au9HDkSCQoX+UTkfWFleU5Coqm/xfWCItct9piPVQq/3sK7kZZ8ajxH2R3TeRpmR+IMqJNKazxa1/Tfv9/wBSJXu8RiWP2WS4DWfvRY3I/TCt3534EHthmYYJAJoMw2KHJQJGrYaGHy2H5Ialsw4R3tnUb/jUO1GSamKNeDKVTC/wTNDayY/FtKj234o2XFvvOMqLKV2duAZWvLvR9zLSQbpcLPdfqVX+39joLpL3NhGJwPTh6uvHXtLfRL23VySBe1ciImfprlxuz+qKLJtpqV6/9gyyA4dXZb9xX7fH0MfJcmlwKEW217RM70oju+fVuklHFWAi20o2OOG3HiwTzpHOmke/+crU9UhFz/DOWGbJUgCEAGTDfuSHjtBZt5VVZ8tnstcpWe213p1te2o6a76IDi+HVZA6mB9y/VwNh1E8YkjC8+8193Tf38nv31sqXbcJopd291PGSKUP5uX6zktn1+u0iVLpSka2/zC+xSOOTvzLOXYVHql11FXzvBNZ5PbqLpWu5PhjfM/br8ELz/dO5CCna6lUuqMWXpDwMrqOOVYqXf/Zp7W9Ljn2aChB5yJVyQqidJR+7PY67STHtEa9TpdL11GG/uJH0mmV7qWJLePqBXLzz27/cy8RR18jl//OrufpckMYH876X3uRdyKL4hFDPB/7kVWYj7w+PQEAx9/q/YiJlJh/pq/kJSOHSqXrd67/e6WxDy4CAGQVFUil7zp+pO9lHC5O/bs+JLrXfS8A5A+Quw8lIpJj7GElV2aLiu9EFSewDJl8pavC0bucducWPEl0HdJd2Vokma6kXXORvESO40SPfT9D9PoNUssO45tIsEMrH3ok8F3ZbWXMl0x1Znv3CjUqTOOy2lvfjs4AucrEqvwj+TdJus6nRO45ZOvQkinfZOMXsvd86dZZ80V0eOn0V7YyVf4Z0kctvABK0OFmWlGQlZ+HgfPPTjgvZyz/o1S6nH692l6f9Kj383NDfXogp1gUetk5OQiEvH9ojLlvkVRe7BSdPs596NGYfnOmt72W3Q+jl8oNKW1n8hNywx+f9trfEl6GrCkr9OeDyjQcyO6iX7TKmj+WWka/78oPk2w17q4fS6UbufiGttdnf/aK1Hdmrnmq7fWEdx/zlS8pCtB9nD50/qzqtVJfG/XEXQCAM9+RG0r26O8kHgg/eanEc5kBjPjBwrbXQ79f5vzMWYhh/YdePb/t/bE3fde7d6Wi4LiftP/w6yYugXY74xfJ529Bxfu+5q2VO93Hyj1qYdLj+tDofq4d7W3UoqvbfyG/uKx95x9QcOyPLm/fZaSIEgxg5G3Xtsu8T/2D9/OPrQYtmOXasEwJBnHU5RcgGBJpiofINaYbfOXFvvNiVPbk/b7Sn/SY9/1MMC+EHieNbnsfkgyQ9jhWNAyaVf62VPoZb+rXgaJjBnum73byiVLzddJ7hvejCvK/0afttXT5U5JcoGDgglmeaUbe8v2klkFEpFNgDgDLBhXlGsrak61w7WZ4LVOZ2NVmmp9KZNnAq98AohPF5k9jzLdMQK7U8LqbU6IUkq3YTqYRvuy+6+OdxJXMdbvU8DqRYK11eXb7vEsS85QdwtJ4bMge71q+ZH9PGtcpBO/tm2eZt8x2MOa9vYNkxZA/FtMdBJYpGzpr9XAyx3tnJXssOh0nqTyWkz0WZfdPOo+vVF17nSSyzdrzO36DqKWG13b3Q3aS2aayx4hs40c7stuqp+G17H1ssg0OiUhGZ70L8a1M3Ybj77gOBYP7xwWqtd6NE//6S2QXJlPoASj2/pF14a432153GzsKPU4d55xYAU5/+VHTpDPeeNx1/tldijH0yvietLKVoueufAIzNz7nniigYOrTcs+fNDp23oVtr6etfcIz/bTd5ueGDrjwm67pe0ydgJwc/eJ4bs06fxmUGHK1zznTECrSf8yc9daTnt+bteO//vIBYOojd/n+jlF3iZ7nx998VdvrvLw85A10v3CXjh5hen/0pNT3nJzw18Wm98XFcjdUo8pEUL/46IHIH9zfNe3IO64zvT/rk2c9539WxTttr7OyszHoW+e5pj/+Fz80ve8/+wwMnH+OzUhuYsLRVy9Az6kTTB+Nvse9scHou240vZ8X3uKa3lYgINU4Uis/ysKfeKYd8/jdnmlkluXHuIduc/08WJCHQRfPTDRLiZEoTwbMs+RpoERllXG+EssAgLJFesOlQe886pIyMaPvvsm8PIl9ePRPrnD8rL0aESjBAEpPGI4RN8oF1MvUbeg2d6pUujYSI5kY02cXF2Lin38BKErcaAtKMIjCIQMwyhJUH2UpX+xMevjO+Il9vH9o+d32WvrckhIM/o5746rJ//yd6f35X73hOf++hvM2Pz8f2V3d16HUMtLFNz9c7r6AgILTX/+HZz7cnP7SXz0b983cvML3fMuqtuqvJfZLt+nmkTXG3f9/yO3hXLHQbdJoDJIIZJO7jn6uNJ9JTcnzWzFqV0UQgAhaWW8qvYJX1sCTTF6s11mvQGoh4oeK7gnngFcXm2X40Rtivb3u0az5lgkq9HV4LasU7lU8uTAHq9prdDbrunpVgve0vJeps0mkwtzvsWjNl/W9VQDyPZWTYQ04ygTfjevrtR55MJ/rMkFqayW+zHeM+VbgHsgIID4QkwtzsMVIgWgk4LfntdO8/PDqEGLtNd5eAWvjfLvAez2SbVTRHoIwH++y2yoH4hiWLeOSLXv9LiMVVfHtXdbIbIcCyDWAMJY56WigIdM4zi6N37zJpPfbGCyR7WOMU/i9TmXBOwhrXQeZ66/1ePeKpSTSGCWREViM1zaZe43OPspLprBrbJkJf5ROGRGk9qq4G/3x0wCA3G5dMOO9ZRj6P2XIKtAvlD2mjMMZKx/DwIsT70Xdlpfq9UCxc0Fml9cz33gCgy+bI4JFBqFe3XD2pudRahlCs8eEE3Dm6qW2Q9cWjTgKFx107nnqta20z0uPPRpnrvkXEIg/6YKFBSiLbI2bLjtvTd9x4zDlWedA97Tdr6FvX/MFeMq/fofBV1xom77/BWfiTEtFc1FREabE9r/td+afjVAv/YJaMmIIJv3jbkz86y/jt6+i4KgrL8Jpz/8pbj4XNm2yHYZUyc7CeXvfQF5X8w9vv9sqEWet+jt6nOEQRA4EbJcx94vXUHK8/XDpPU4dj7M/fCZueiJ5LRxu07NNUTDx73fZ9nD2u73mfL4SXSfY9649fvENOP5Wc8Cn+/DhOOMt5x74Z1W8g+7dzTepJ//jHgz74Xfig4RZQYz53c8w0tI7VgkEMOnxezDm3p8if4D+g7vwqAEY/9AdGP/gbVAs8zr2R1dgwsN3IphnvikM5oUw/qE7RG9r4/RgEHMbNjiuR97wgegy5ri29zldSnDcT7+Hi6s3oGic8/C41u3rtj9G//FWDL9ktnT6RJZh9/kxV5Vh7IO32qbN698H8+o2eM4jWWN/9zNTb8mCQf0w7oFbEcy3/2H2jUvOxZSl95nz9MXbro0GgpfPQoGhMUnBwL4Y+/tbXPNlXc+TTz4ZuMFfYKromEEY/dubEbAEYIP5IUx4+E7bXtTD1i1xnF+fS87GhLtucvwc8N4/PadOAG5wGV57QC90m3h829vskiIM/9HlmP76P5BdWCB9jM1Y/jBKp09wTDd11yrz9xo2ASHnIQntljtowSyc/sqj6DF5bNu0rMJ8HHPtJThr9TLkWh5jMGrR1Tjujv+1X0BWluO6le1ZA+TL583veTjp0btw7KKr4q6f2SVFOO2/f0b/WdM852HUZ+50TFt2n2naRQfWIN+hQVX3KeNw9nrzNT87Px/nV62xvUZndynGRU0fITs7maFmhQsbNiKne/yP52BBHuYcWI3cInNlbCL3AW7fKZ08GjNeMV/HskIhzP5iJXqfdYrpfi6Qk40hV16MM9+WG3mEiI4EMgHSHIggRS+IoGJB7K9LbJpdpWQRnCvwiuC/x3Iu4itDcyEqXe2qLkph34MoCyIA1h2iAj0US9sH7hXqXpXDvQ356APnYFRXxAdHAnDfD3bL9sqP9XMFYl9ZgxcKxH6yqyx3W0YOxLrkQ2y3otj83YJZvRC/r0IQ+9B6Pc6JpbfeHJfYTDMKID7A0BfO+yMA+/V0C+72tMlDECK/dsvJh/3+TWVAJsthfgrc18X6He1YtLs/KoV9sMBtPfIRf64Xwb13n938QhD71XjuKLH5WwPOxmX3iS0vJ/bXBc7r57U/CmCumNaW7edctDsHjfO3O3+85p9nyFc2nIPzbvPrA/tyPAD74zqRY9frnttu35Y6pM2P5ctKZl90hziHu0mm97sMv1JRvluVwj0AGoB3Y5Fk8mC8/veFc8DPrixNdt1l9IVzkKk7nAOtfvPmlr4nzMd8oseiW+jG+p0sODfUC8H+OtUVzseKtUzWprkFtu3Woxj21xbtem69N/PaVkHEH3N94bxfgw7zdNu+pTbLIKL2oqiqqnZ0JvxYohgCbA/+AGXXXGObLtLUjKZ9lcgqzEdut/YZHua1i6/D3n+9DOSHUFa/Ueo7Fe99iMbd+9Dj1AnIc+n9oqn7ag92LlmBggF9cdQl5/rKn3FbuVV81uzahS2/fAR53btg+M+uQW6ud2vDfw85DS2f7wGKClBW84Fn+j3r1uH1KQuBgIJp21+KC07b2btqNXaveA29zzjZtuLb6ustW/DWmIuBSBRTnn0AA84+DQAQjUTQuGc/AtlZCPXqbgoUVm37HPtefRddThiBnqeMdZp1m5aWFnz6m0fRWluH4T9aGBectrNi3FzUrt8CFOajrPZDz/SJ2PbwUmxZ/AhKRw/DaU8/6P0FANv++CR2r1iFgQvOwZBL50h9x3T+2ZhT/yHy8/UfZDseW47qzZ9i8OUXouuxcs/5XlI4CqhvAbICKGv17tW7c9nzOLh2MwbOP8c0jLiTyq1b8dqpl0EJBjHto+figtN2KtZswsG1m9Br2kSUHuf9XFY1GkXjnv2AoiCvb8+44LSd6k93omrjVpSeMBwlEsPXrlu3Dp+OvwQAMPjaizHpD3qvyqb9BxBpakZenx4IWIIz71xzG758aCmgAGVR9yBKZWUl3hx7IcL1DRj/j3sweKZ3j1PrMSITKG77jkSeAKBywyfY8eATKDl+GEZce6lnemu+tDzV1dVh3bd+jIa9FRjz0O3ofeJI2/STv3gZAwcOBGDZt316QDE0Plpz/Z04uG4Lht24EIPnnuWdpxO+CWzaKd48+EOUXXO1voy9FQAQtwzZcr0t/ezZwHOxRkdZQFmr+E4kEsH+VasRaWxGzzNPRk6e/qPA77G4fv16bBtXBgA4+pYrMOFO9+C0bT4N6zX7i1Vx1+4XXngB1bPE4wsK50zHeYaRPpoqDiLS2IRQ7+4I5tj/KJHdbmtv/y223/EQABGc7tevn2u+X5hahuo313vO16j5wCGE6xoQ6t0DwVzvVsjlb7yPjbf+HsVDB2LSn72H3NYsGTsb+EDs+9BTi3H++e6PQFiSPQwIi9cy63Jo4yeo3f4lup40GoX95Yace+aYM9G8/yCO+/n1GHnttz3Tb777Eex58U0ctXAujr7M+xEOrQ0N2PHQMiiBAIb8T1lKgtNxy2htxWcPL0OkqQlHf29eXHDajt/zFgCW5I0CmlowdNF3Mf4X3o/4CLe0oOrDTxDMzUbJ8cMRCGREO9ROraamBiUlJVjeZQgKAok8m7Nj1UcjOP/QZ6iurpYetYaOFNUAVIheLUEAUYgKumR7DKgJzKsm9p1CyD8XMV1aANRBVM56VVI2QaxHNuSfrRuB2E6y5XUTxIU6V3IZ2v7wsww1lq8g5PZhFEBz7HWuj+X40QzgQOx1N8j1jIwAaIXYTjLltwp9Pfx8R4W/3jYVsXw5KUH8sRaBv3NK24cKEnuutIzW2J/WW9VLBOL4DUJ+2NQoxLqkomxy0gqRtyyY18Nr37bEvhuC9zZO5DipB1ALETSSCZA0AaiCKEdlh9ePxP6X3b57DK8LoAcnw7G/IOLLJeN3jPV/qdy3TsuQSd9Hcvl1EPukAObtG4bYjtkwl31NAA76yBMgtkkY4jhMphzVyn0gfvsegijntEZbfrXG5p2F1JYt+yDyXQD5Rwv4pW0Tv70jteMlD6kfdj4MoBFie8r0Rgf0sjcL8qOJaOWPLL/3clGI9QhAfj20MkD2/qQKQEPsdRHkjpMw9PWQvb9shjinZa9t5EX7PX2wai2KJUYm7kxqaurQtXQ8f0unUcYFqYmIiIiIiNqT9qP636VDUKBkYJBajeDCKgapiYiIiIiIKL2039OHqtZnZJC6S+lY/pZOI3azICIiIiIiIiIiIiIiIiKitGGQmoiIiIiIiIiIiIiIiIiI0oZBaiIiIiIiIiIiIiIiIiIiShs+CZ6IiIiIiMiGGgWiSkfnwj9V7egcEBERERER0ZFNif1lkkzLb+ZjT2oiIiIiIiIiIiIiIiIiIkobBqmJiIiIiIiIiIiIiIiIiChtGKQmIiIiIiIiIiIiIiIiIqK04TOpiYiIiIiIbEQz9JnUUT6TmoiIiIiIiDpcBv6gprRiT2oiIiIiIiIiIiIiIiIiIkobBqmJiIiIiIiIiIiIiIiIiChtONw3ERERERGRDQ73TURERERERJSIADKvn2ym5TfzcYsTEREREREREREREREREVHaMEhNRERERERERERERERERERpwyA1ERERERERERERERERERGlDZ9JTUREREREZIPPpCYiIiIiIiLyT1EUKEpm/aDOtPweDtiTmoiIiIiIiIiIiIiIiIiI0oZBaiIiIiIiIiIiIiIiIiIiShsGqYmIiIiIiIiIiIiIiIiIKG34TGoiIiIiIiIbURWIdnQmEsBnUhMREREREVHHUmJ/mSTT8pv52JOaiIiIiIiIiIiIiIiIiIjShkFqIiIiIiIiIiIiIiIiIiJKGwapiYiIiIiIiIiIiIiIiIgobfhMaiIiIiIiIhvRKBDNwEdS8ZnURERERERE1LECyLx+spmW38zHLU5ERERERERERERERERERGnDIDUREREREREREREREREREaUNh/smIiIiIiKyweG+iYiIiIiIiBKhxP4ySablN/OxJzUREREREREREREREREREaUNg9RERERERERERERERERERJQ2DFITEREREREREREREREREVHa8JnURERERERENvhMaiIiIiIiIiL/FASgZFg/2UzL7+GAW5yIiIiIiIiIiIiIiIiIiNKGQWoiIiIiIiIiIiIiIiIiIkobBqmJiIiIiIgIDzzwAAYNGoRQKISJEydizZo1run/9a9/Yfjw4QiFQhg1ahRefPHFNOWUiIiIiIiIqHPw+1uadAxSExERERER2YiqsedSZ9pfAs+kXrZsGW644Qbcdttt+OCDD3DCCSdgxowZ2L9/v236d999FwsWLMAVV1yBDz/8EHPmzMGcOXOwefPmJLc6ERERERERZT4lQ//88ftbmswUVVUTqMIgIiIiIiI6PNXU1KCkpASPYAjyEezo7PjWgAiuxGeorq5GcXGx1HcmTpyI8ePH4/777wcARKNRDBgwANdddx1uvvnmuPTz5s1DfX09nn/++bZpJ510EkaPHo2HHnooNStCREREREREGUX7PV1dvRXFxUUdnR1fampqUVIyvF1/S5MZe1ITEREREREdwVpaWrB+/XpMnz69bVogEMD06dOxevVq2++sXr3alB4AZsyY4ZieiIiIiIiI6HCSyG9pMsvq6AwQERERERF1Ro2IdnQWEqLlu6amxjQ9NzcXubm5cekrKysRiUTQq1cv0/RevXph69attssoLy+3TV9eXp5M1omIiIiIiOgwUFNT29FZ8E3Lc3v+liYzBqmJiIiIiIgMcnJy0Lt3b/xv+c6OzkrCCgsLMWDAANO02267DbfffnvHZIiIiIiIiIgOe9rv6QEDxnd0VhLC39LpxSA1ERERERGRQSgUws6dO9HS0tLRWUmYqqpQFMU0za7lNwB0794dwWAQ+/btM03ft28fevfubfud3r17+0pPREREREREh79M/z3d3r+lyYxBaiIiIiIiIotQKIRQKNTR2UiLnJwcjB07FitXrsScOXMAANFoFCtXrsS1115r+51JkyZh5cqV+MEPftA27ZVXXsGkSZPSkGMiIiIiIiLqrI6U39OJ/JYmMwapiYiIiIiIjnA33HADLrvsMowbNw4TJkzAfffdh/r6eixcuBAA8O1vfxv9+vXD4sWLAQDXX389pk6dinvvvRfnnHMOli5dinXr1uHhhx/uyNUgIiIiIiIiShuv39LkjkFqIiIiIiKiI9y8efNQUVGBW2+9FeXl5Rg9ejReeukl9OrVCwDw1VdfIRAItKU/+eSTsWTJEtxyyy1YtGgRhg4dimeeeQYjR47sqFUgIiIiIiIiSiuv39LkTlFVVe3oTBARERERERERERERERER0ZEh4J2EiIiIiIiIiIiIiIiIiIgoNRikJiIiIiIiIiIiIiIiIiKitGGQmoiIiIiIiIiIiIiIiIiI0oZBaiIiIiIiIiIiIiIiIiIiShsGqYmIiIiIiIiIiIiIiIiIKG0YpCYiIiIiIiIiIiIiIiIiorRhkJqIiIiIiIiIiIiIiIiIiNKGQWoiIiIiIiIiIiIiIiIiIkobBqmJiIiIiIiIiIiIiIiIiChtGKQmIiIiIiIiIiIiIiIiIqK0YZCaiIiIiIiIiIiIiIiIiIjShkFqIiIiIiIiIiIiIiIiIiJKm/8PLM0NVSw7CswAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 2000x2000 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Spatial Distribution Statistics:\n",
      "\n",
      "Top 10 Census Tracts by Total Investment:\n",
      "      Census Tract Total Project Cost            Total Project GHGReductions  \\\n",
      "                                count        sum                         sum   \n",
      "1686  6.037206e+09                369  128838282                       71147   \n",
      "1701  6.037208e+09                246   79854037                       21955   \n",
      "1250  6.037113e+09                115   67551314                       45625   \n",
      "5715  6.073006e+09                 38   65309556                        1546   \n",
      "3340  6.037901e+09                 61   37506825                       44030   \n",
      "2391  6.037408e+09                207   34961176                       31158   \n",
      "3482  6.037980e+09                 67   30672161                       23886   \n",
      "6642  6.081602e+09                 61   26686653                       14972   \n",
      "7164  6.085512e+09                 49   24118370                       17130   \n",
      "2268  6.037403e+09                 81   23674333                       11183   \n",
      "\n",
      "     Is Benefit Disadvantaged Communities Is Low Income Communities  \n",
      "                                     mean                      mean  \n",
      "1686                               0.5176                    0.0108  \n",
      "1701                               0.7886                    0.0447  \n",
      "1250                               0.0087                    0.0435  \n",
      "5715                               0.0000                    0.5789  \n",
      "3340                               0.0000                    0.9672  \n",
      "2391                               0.8164                    0.7923  \n",
      "3482                               0.0000                    0.0149  \n",
      "6642                               0.0000                    0.9508  \n",
      "7164                               0.0000                    0.0204  \n",
      "2268                               0.3333                    0.8148  \n",
      "\n",
      "Top 10 Census Tracts by Project Count:\n",
      "      Census Tract Total Project Cost            Total Project GHGReductions  \\\n",
      "                                count        sum                         sum   \n",
      "1686  6.037206e+09                369  128838282                       71147   \n",
      "1701  6.037208e+09                246   79854037                       21955   \n",
      "2391  6.037408e+09                207   34961176                       31158   \n",
      "6443  6.077002e+09                132     616605                         650   \n",
      "6448  6.077002e+09                121     401633                         284   \n",
      "1250  6.037113e+09                115   67551314                       45625   \n",
      "6452  6.077003e+09                113     438571                         580   \n",
      "2670  6.037504e+09                103   13744994                       12914   \n",
      "6449  6.077002e+09                102     534104                         625   \n",
      "2276  6.037403e+09                 99    5585697                       12839   \n",
      "\n",
      "     Is Benefit Disadvantaged Communities Is Low Income Communities  \n",
      "                                     mean                      mean  \n",
      "1686                               0.5176                    0.0108  \n",
      "1701                               0.7886                    0.0447  \n",
      "2391                               0.8164                    0.7923  \n",
      "6443                               0.0985                    0.9848  \n",
      "6448                               0.0661                    0.9835  \n",
      "1250                               0.0087                    0.0435  \n",
      "6452                               0.0885                    0.9469  \n",
      "2670                               0.1942                    0.0583  \n",
      "6449                               0.1275                    0.9804  \n",
      "2276                               0.0000                    0.1818  \n",
      "\n",
      "Top 10 Census Tracts by GHG Reductions:\n",
      "      Census Tract Total Project Cost            Total Project GHGReductions  \\\n",
      "                                count        sum                         sum   \n",
      "419   6.009000e+09                 13    6718556                      735067   \n",
      "7330  6.091010e+09                  8    1842014                      730641   \n",
      "7963  6.113011e+09                 21    9324110                      297675   \n",
      "7411  6.095253e+09                 17    2631219                      163765   \n",
      "4432  6.061022e+09                 13    1199979                       78245   \n",
      "1686  6.037206e+09                369  128838282                       71147   \n",
      "3677  6.053011e+09                 26    5634176                       53453   \n",
      "1250  6.037113e+09                115   67551314                       45625   \n",
      "3340  6.037901e+09                 61   37506825                       44030   \n",
      "4166  6.059086e+09                 84   18951369                       32458   \n",
      "\n",
      "     Is Benefit Disadvantaged Communities Is Low Income Communities  \n",
      "                                     mean                      mean  \n",
      "419                                0.0000                    0.1538  \n",
      "7330                               0.0000                    0.7500  \n",
      "7963                               0.0000                    0.1429  \n",
      "7411                               0.0000                    0.2353  \n",
      "4432                               0.0000                    0.0000  \n",
      "1686                               0.5176                    0.0108  \n",
      "3677                               0.7692                    0.3462  \n",
      "1250                               0.0087                    0.0435  \n",
      "3340                               0.0000                    0.9672  \n",
      "4166                               0.3214                    0.2262  \n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "# First, summarize the data at tract level\n",
    "tract_summary = data.groupby('Census Tract').agg({\n",
    "    'Total Project Cost': ['count', 'sum'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean',\n",
    "    'Is Low Income Communities': 'mean'\n",
    "}).round(4)\n",
    "\n",
    "# Reset the index to make Census Tract a column\n",
    "tract_summary = tract_summary.reset_index()\n",
    "\n",
    "# Create a few different maps to show different aspects\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(20, 20))\n",
    "\n",
    "# Function to create a map with proper legend\n",
    "def create_map(data, column, title, ax, cmap):\n",
    "    im = ax.scatter(data['Census Tract'], \n",
    "                   data[column],\n",
    "                   c=data[column],\n",
    "                   cmap=cmap)\n",
    "    plt.colorbar(im, ax=ax, label=title)\n",
    "    ax.set_title(title)\n",
    "    ax.axis('off')\n",
    "\n",
    "# 1. Project Count Map\n",
    "create_map(tract_summary, \n",
    "          ('Total Project Cost', 'count'),\n",
    "          'Number of CCI Projects by Census Tract',\n",
    "          ax1,\n",
    "          'YlOrRd')\n",
    "\n",
    "# 2. Total Investment Map\n",
    "create_map(tract_summary,\n",
    "          ('Total Project Cost', 'sum'),\n",
    "          'Total CCI Investment by Census Tract',\n",
    "          ax2,\n",
    "          'viridis')\n",
    "\n",
    "# 3. DAC Benefits Map\n",
    "create_map(tract_summary,\n",
    "          ('Is Benefit Disadvantaged Communities', 'mean'),\n",
    "          'Proportion of Projects Benefiting DACs',\n",
    "          ax3,\n",
    "          'RdYlBu')\n",
    "\n",
    "# 4. GHG Reductions Map\n",
    "create_map(tract_summary,\n",
    "          ('Total Project GHGReductions', 'sum'),\n",
    "          'Total GHG Reductions by Census Tract',\n",
    "          ax4,\n",
    "          'YlGn')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Let's also look at the basic statistics\n",
    "print(\"\\nSpatial Distribution Statistics:\")\n",
    "print(\"\\nTop 10 Census Tracts by Total Investment:\")\n",
    "print(tract_summary.nlargest(10, ('Total Project Cost', 'sum')))\n",
    "\n",
    "print(\"\\nTop 10 Census Tracts by Project Count:\")\n",
    "print(tract_summary.nlargest(10, ('Total Project Cost', 'count')))\n",
    "\n",
    "print(\"\\nTop 10 Census Tracts by GHG Reductions:\")\n",
    "print(tract_summary.nlargest(10, ('Total Project GHGReductions', 'sum')))\n",
    "\n",
    "# Additional visualization of investment intensity\n",
    "plt.figure(figsize=(15, 10))\n",
    "tract_summary['investment_per_project'] = tract_summary[('Total Project Cost', 'sum')] / tract_summary[('Total Project Cost', 'count')]\n",
    "plt.scatter(tract_summary[('Is Benefit Disadvantaged Communities', 'mean')],\n",
    "           tract_summary['investment_per_project'],\n",
    "           alpha=0.5)\n",
    "plt.xlabel('Proportion of Projects Benefiting DACs')\n",
    "plt.ylabel('Investment per Project ($)')\n",
    "plt.title('Investment Intensity vs DAC Benefits')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis of Spatial Distribution and Environmental Justice Implications\n",
    "## Key Findings:\n",
    "\n",
    "1. Individual vs. Large Project Analysis\n",
    "Key Findings:\n",
    "- Individual Program Distribution:\n",
    "  * Home Energy/Solar Programs:\n",
    "    - Strong equity performance (78% benefit DACs)\n",
    "    - High DAC funding ratio (0.65)\n",
    "    - 93% benefit low-income communities\n",
    "    - Lower total investment ($320M)\n",
    "  * Vehicle Programs:\n",
    "    - Lower equity performance (35% benefit DACs)\n",
    "    - Low DAC funding ratio (0.17)\n",
    "    - Only 41% benefit low-income communities\n",
    "    - Higher individual costs (~$283K vs $43K for solar)\n",
    "\n",
    "- Large Project Performance:\n",
    "  * Higher total investment ($127B)\n",
    "  * Highest total GHG reductions (103.5M tons)\n",
    "  * Mixed equity outcomes:\n",
    "    - Low DAC funding ratio (0.28)\n",
    "    - Only 6.6% benefit DACs\n",
    "    - But 56% benefit low-income communities\n",
    "\n",
    "2. Spatial Distribution Analysis\n",
    "Key Findings:\n",
    "- Geographic Concentration:\n",
    "  * Urban dominance (LA: 27% of projects, 54% of funds)\n",
    "  * Top 3 counties (LA, Alameda, San Diego) = 37% of projects\n",
    "  * Clear urban-rural divide in investment distribution\n",
    "\n",
    "- Environmental Justice Implications:\n",
    "  * DACs receive 33% of projects but only 11% of funding\n",
    "  * Low-income communities show better performance (58% of projects, 80% of funding)\n",
    "  * Significant variation in DAC benefit rates across regions\n",
    "\n",
    "Next Steps:\n",
    "\n",
    "1. Individual vs. Large Project Analysis\n",
    "- Detailed program design analysis:\n",
    "  * What makes home energy programs more successful at reaching DACs?\n",
    "  * What barriers exist in vehicle programs?\n",
    "  * How can large project DAC benefits be improved?\n",
    "- Cost-effectiveness comparison:\n",
    "  * Calculate and compare GHG reduction per dollar across programs\n",
    "  * Analyze trade-offs between equity and efficiency\n",
    "- Policy recommendations:\n",
    "  * Identify best practices from successful programs\n",
    "  * Suggest modifications for underperforming programs\n",
    "\n",
    "2. Spatial Distribution Analysis\n",
    "- Enhanced geographic analysis:\n",
    "  * Create detailed maps showing investment patterns\n",
    "  * Analyze urban-rural disparities\n",
    "  * Examine relationship between CalEnviroScreen scores and investment patterns\n",
    "- Environmental justice metrics:\n",
    "  * Develop composite indicators of investment equity\n",
    "  * Analyze temporal changes in distribution\n",
    "  * Compare to demographic and socioeconomic patterns\n",
    "\n",
    "3. Integration and Synthesis\n",
    "- Combine findings from both approaches to:\n",
    "  * Identify overlapping patterns\n",
    "  * Develop comprehensive policy recommendations\n",
    "  * Create framework for evaluating climate investment equity\n",
    "\n",
    "4. Specific Data Analysis Tasks:\n",
    "```python\n",
    "# 1. Create program efficiency metrics\n",
    "program_efficiency = data.groupby('project_category').agg({\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'Total Project Cost': 'sum'\n",
    "}).assign(\n",
    "    efficiency = lambda x: x['Total Project GHGReductions'] / x['Total Project Cost']\n",
    ")\n",
    "\n",
    "# 2. Analyze spatial equity\n",
    "spatial_equity = merged_data.groupby('CES_quartile').agg({\n",
    "    'Total Project Cost': ['sum', 'mean', 'count'],\n",
    "    'Total Project GHGReductions': ['sum', 'mean']\n",
    "})\n",
    "\n",
    "# 3. Create temporal analysis\n",
    "temporal_patterns = data.groupby(['project_category', 'Date Operational']).agg({\n",
    "    'Total Project Cost': 'sum',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean'\n",
    "})\n",
    "```\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Top 5 Programs by Total Investment:\n",
      "                                                   Total Project Cost  \\\n",
      "                                                                count   \n",
      "Program Name                                                            \n",
      "Transit and Intercity Rail Capital Program                        245   \n",
      "Low Carbon Transit Operations Program                            1003   \n",
      "Affordable Housing and Sustainable Communities ...                151   \n",
      "Low Carbon Transportation                                      105965   \n",
      "Community Air Protection                                         5514   \n",
      "\n",
      "                                                                  \\\n",
      "                                                             sum   \n",
      "Program Name                                                       \n",
      "Transit and Intercity Rail Capital Program          101461750666   \n",
      "Low Carbon Transit Operations Program                 8777590799   \n",
      "Affordable Housing and Sustainable Communities ...    8492944393   \n",
      "Low Carbon Transportation                             3759508172   \n",
      "Community Air Protection                              1211608583   \n",
      "\n",
      "                                                                  \\\n",
      "                                                            mean   \n",
      "Program Name                                                       \n",
      "Transit and Intercity Rail Capital Program          4.141296e+08   \n",
      "Low Carbon Transit Operations Program               8.751337e+06   \n",
      "Affordable Housing and Sustainable Communities ...  5.624466e+07   \n",
      "Low Carbon Transportation                           3.547877e+04   \n",
      "Community Air Protection                            2.197331e+05   \n",
      "\n",
      "                                                   Total Project GHGReductions  \\\n",
      "                                                                           sum   \n",
      "Program Name                                                                     \n",
      "Transit and Intercity Rail Capital Program                            23458701   \n",
      "Low Carbon Transit Operations Program                                  6971510   \n",
      "Affordable Housing and Sustainable Communities ...                     3590596   \n",
      "Low Carbon Transportation                                              4306922   \n",
      "Community Air Protection                                                250801   \n",
      "\n",
      "                                                              \\\n",
      "                                                        mean   \n",
      "Program Name                                                   \n",
      "Transit and Intercity Rail Capital Program          95749.80   \n",
      "Low Carbon Transit Operations Program                6950.66   \n",
      "Affordable Housing and Sustainable Communities ...  23778.78   \n",
      "Low Carbon Transportation                              40.64   \n",
      "Community Air Protection                               45.48   \n",
      "\n",
      "                                                   Total GGRFDisadvantaged Community Funding  \\\n",
      "                                                                                         sum   \n",
      "Program Name                                                                                   \n",
      "Transit and Intercity Rail Capital Program                                       477700000.0   \n",
      "Low Carbon Transit Operations Program                                            127826618.0   \n",
      "Affordable Housing and Sustainable Communities ...                               241985013.0   \n",
      "Low Carbon Transportation                                                        324003740.0   \n",
      "Community Air Protection                                                                 0.0   \n",
      "\n",
      "                                                                \\\n",
      "                                                          mean   \n",
      "Program Name                                                     \n",
      "Transit and Intercity Rail Capital Program          9952083.33   \n",
      "Low Carbon Transit Operations Program                399458.18   \n",
      "Affordable Housing and Sustainable Communities ...  4033083.55   \n",
      "Low Carbon Transportation                              7644.66   \n",
      "Community Air Protection                                   NaN   \n",
      "\n",
      "                                                   Is Benefit Disadvantaged Communities  \\\n",
      "                                                                                   mean   \n",
      "Program Name                                                                              \n",
      "Transit and Intercity Rail Capital Program                                         0.16   \n",
      "Low Carbon Transit Operations Program                                              0.21   \n",
      "Affordable Housing and Sustainable Communities ...                                 0.22   \n",
      "Low Carbon Transportation                                                          0.36   \n",
      "Community Air Protection                                                           0.00   \n",
      "\n",
      "                                                   Is Low Income Communities  \\\n",
      "                                                                        mean   \n",
      "Program Name                                                                   \n",
      "Transit and Intercity Rail Capital Program                              0.73   \n",
      "Low Carbon Transit Operations Program                                   0.64   \n",
      "Affordable Housing and Sustainable Communities ...                      0.60   \n",
      "Low Carbon Transportation                                               0.59   \n",
      "Community Air Protection                                                0.87   \n",
      "\n",
      "                                                   GHG_per_dollar  \\\n",
      "                                                                    \n",
      "Program Name                                                        \n",
      "Transit and Intercity Rail Capital Program                 0.0002   \n",
      "Low Carbon Transit Operations Program                      0.0008   \n",
      "Affordable Housing and Sustainable Communities ...         0.0004   \n",
      "Low Carbon Transportation                                  0.0011   \n",
      "Community Air Protection                                   0.0002   \n",
      "\n",
      "                                                   DAC_funding_ratio  \n",
      "                                                                      \n",
      "Program Name                                                          \n",
      "Transit and Intercity Rail Capital Program                    0.0047  \n",
      "Low Carbon Transit Operations Program                         0.0146  \n",
      "Affordable Housing and Sustainable Communities ...            0.0285  \n",
      "Low Carbon Transportation                                     0.0862  \n",
      "Community Air Protection                                      0.0000  \n",
      "\n",
      "Top 5 Programs by GHG Reduction Efficiency:\n",
      "                                                   Total Project Cost  \\\n",
      "                                                                count   \n",
      "Program Name                                                            \n",
      "Fluorinated Gases Emission Reduction Incentives                    15   \n",
      "Sustainable Agricultural Lands Conservation Pro...                 96   \n",
      "Climate Smart Agriculture                                        1688   \n",
      "Forest Health Program                                             258   \n",
      "Food Production Investment Program                                 56   \n",
      "\n",
      "                                                                           \\\n",
      "                                                          sum        mean   \n",
      "Program Name                                                                \n",
      "Fluorinated Gases Emission Reduction Incentives             0        0.00   \n",
      "Sustainable Agricultural Lands Conservation Pro...  212276194  2211210.35   \n",
      "Climate Smart Agriculture                           886514974   525186.60   \n",
      "Forest Health Program                               837651776  3246712.31   \n",
      "Food Production Investment Program                  181509329  3241238.02   \n",
      "\n",
      "                                                   Total Project GHGReductions  \\\n",
      "                                                                           sum   \n",
      "Program Name                                                                     \n",
      "Fluorinated Gases Emission Reduction Incentives                          36715   \n",
      "Sustainable Agricultural Lands Conservation Pro...                    15080237   \n",
      "Climate Smart Agriculture                                             24249378   \n",
      "Forest Health Program                                                 20575142   \n",
      "Food Production Investment Program                                     2974529   \n",
      "\n",
      "                                                               \\\n",
      "                                                         mean   \n",
      "Program Name                                                    \n",
      "Fluorinated Gases Emission Reduction Incentives       2447.67   \n",
      "Sustainable Agricultural Lands Conservation Pro...  157085.80   \n",
      "Climate Smart Agriculture                            14365.75   \n",
      "Forest Health Program                                79748.61   \n",
      "Food Production Investment Program                   53116.59   \n",
      "\n",
      "                                                   Total GGRFDisadvantaged Community Funding  \\\n",
      "                                                                                         sum   \n",
      "Program Name                                                                                   \n",
      "Fluorinated Gases Emission Reduction Incentives                                          0.0   \n",
      "Sustainable Agricultural Lands Conservation Pro...                                 4264000.0   \n",
      "Climate Smart Agriculture                                                         29472350.0   \n",
      "Forest Health Program                                                                    0.0   \n",
      "Food Production Investment Program                                                       0.0   \n",
      "\n",
      "                                                               \\\n",
      "                                                         mean   \n",
      "Program Name                                                    \n",
      "Fluorinated Gases Emission Reduction Incentives           NaN   \n",
      "Sustainable Agricultural Lands Conservation Pro...  101523.81   \n",
      "Climate Smart Agriculture                            50814.40   \n",
      "Forest Health Program                                    0.00   \n",
      "Food Production Investment Program                        NaN   \n",
      "\n",
      "                                                   Is Benefit Disadvantaged Communities  \\\n",
      "                                                                                   mean   \n",
      "Program Name                                                                              \n",
      "Fluorinated Gases Emission Reduction Incentives                                    0.00   \n",
      "Sustainable Agricultural Lands Conservation Pro...                                 0.01   \n",
      "Climate Smart Agriculture                                                          0.12   \n",
      "Forest Health Program                                                              0.00   \n",
      "Food Production Investment Program                                                 0.00   \n",
      "\n",
      "                                                   Is Low Income Communities  \\\n",
      "                                                                        mean   \n",
      "Program Name                                                                   \n",
      "Fluorinated Gases Emission Reduction Incentives                         0.60   \n",
      "Sustainable Agricultural Lands Conservation Pro...                      0.03   \n",
      "Climate Smart Agriculture                                               0.35   \n",
      "Forest Health Program                                                   0.30   \n",
      "Food Production Investment Program                                      0.71   \n",
      "\n",
      "                                                   GHG_per_dollar  \\\n",
      "                                                                    \n",
      "Program Name                                                        \n",
      "Fluorinated Gases Emission Reduction Incentives               inf   \n",
      "Sustainable Agricultural Lands Conservation Pro...         0.0710   \n",
      "Climate Smart Agriculture                                  0.0274   \n",
      "Forest Health Program                                      0.0246   \n",
      "Food Production Investment Program                         0.0164   \n",
      "\n",
      "                                                   DAC_funding_ratio  \n",
      "                                                                      \n",
      "Program Name                                                          \n",
      "Fluorinated Gases Emission Reduction Incentives                  NaN  \n",
      "Sustainable Agricultural Lands Conservation Pro...            0.0201  \n",
      "Climate Smart Agriculture                                     0.0332  \n",
      "Forest Health Program                                         0.0000  \n",
      "Food Production Investment Program                            0.0000  \n",
      "\n",
      "Top 5 Programs by DAC Funding Ratio:\n",
      "                                     Total Project Cost             \\\n",
      "                                                  count        sum   \n",
      "Program Name                                                         \n",
      "Low-Income Weatherization Program                  6468  307899153   \n",
      "Urban and Community Forestry Program                967  107767408   \n",
      "Water-Energy Efficiency                            5111   85125916   \n",
      "Urban Greening Program                              177  270240730   \n",
      "Wetlands and Watershed Restoration                   22   86150135   \n",
      "\n",
      "                                                 Total Project GHGReductions  \\\n",
      "                                            mean                         sum   \n",
      "Program Name                                                                   \n",
      "Low-Income Weatherization Program       47603.46                      594567   \n",
      "Urban and Community Forestry Program   111445.10                      479295   \n",
      "Water-Energy Efficiency                 16655.43                      425225   \n",
      "Urban Greening Program                1526783.79                       54285   \n",
      "Wetlands and Watershed Restoration    3915915.23                      999950   \n",
      "\n",
      "                                                \\\n",
      "                                          mean   \n",
      "Program Name                                     \n",
      "Low-Income Weatherization Program        91.92   \n",
      "Urban and Community Forestry Program    495.65   \n",
      "Water-Energy Efficiency                  83.20   \n",
      "Urban Greening Program                  306.69   \n",
      "Wetlands and Watershed Restoration    45452.27   \n",
      "\n",
      "                                     Total GGRFDisadvantaged Community Funding  \\\n",
      "                                                                           sum   \n",
      "Program Name                                                                     \n",
      "Low-Income Weatherization Program                                  132666048.0   \n",
      "Urban and Community Forestry Program                                34138019.0   \n",
      "Water-Energy Efficiency                                             23286225.0   \n",
      "Urban Greening Program                                              68717491.0   \n",
      "Wetlands and Watershed Restoration                                  13382907.0   \n",
      "\n",
      "                                                  \\\n",
      "                                            mean   \n",
      "Program Name                                       \n",
      "Low-Income Weatherization Program       22383.34   \n",
      "Urban and Community Forestry Program    60635.91   \n",
      "Water-Energy Efficiency                  4556.10   \n",
      "Urban Greening Program                 848364.09   \n",
      "Wetlands and Watershed Restoration    1115242.25   \n",
      "\n",
      "                                     Is Benefit Disadvantaged Communities  \\\n",
      "                                                                     mean   \n",
      "Program Name                                                                \n",
      "Low-Income Weatherization Program                                    0.90   \n",
      "Urban and Community Forestry Program                                 0.21   \n",
      "Water-Energy Efficiency                                              0.45   \n",
      "Urban Greening Program                                               0.19   \n",
      "Wetlands and Watershed Restoration                                   0.09   \n",
      "\n",
      "                                     Is Low Income Communities GHG_per_dollar  \\\n",
      "                                                          mean                  \n",
      "Program Name                                                                    \n",
      "Low-Income Weatherization Program                         0.97         0.0019   \n",
      "Urban and Community Forestry Program                      0.09         0.0044   \n",
      "Water-Energy Efficiency                                   0.00         0.0050   \n",
      "Urban Greening Program                                    0.27         0.0002   \n",
      "Wetlands and Watershed Restoration                        0.27         0.0116   \n",
      "\n",
      "                                     DAC_funding_ratio  \n",
      "                                                        \n",
      "Program Name                                            \n",
      "Low-Income Weatherization Program               0.4309  \n",
      "Urban and Community Forestry Program            0.3168  \n",
      "Water-Energy Efficiency                         0.2736  \n",
      "Urban Greening Program                          0.2543  \n",
      "Wetlands and Watershed Restoration              0.1553  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy import stats\n",
    "\n",
    "# Read the data (I see you already have this loaded as 'data')\n",
    "\n",
    "# 1. First, let's create our core analytical metrics\n",
    "def calculate_program_metrics(df):\n",
    "    metrics = df.groupby('Program Name').agg({\n",
    "        'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "        'Total Project GHGReductions': ['sum', 'mean'],\n",
    "        'Total GGRFDisadvantaged Community Funding': ['sum', 'mean'],\n",
    "        'Is Benefit Disadvantaged Communities': 'mean',\n",
    "        'Is Low Income Communities': 'mean'\n",
    "    }).round(2)\n",
    "    \n",
    "    # Add efficiency metrics\n",
    "    metrics['GHG_per_dollar'] = (metrics[('Total Project GHGReductions', 'sum')] / \n",
    "                                metrics[('Total Project Cost', 'sum')]).round(4)\n",
    "    \n",
    "    metrics['DAC_funding_ratio'] = (metrics[('Total GGRFDisadvantaged Community Funding', 'sum')] / \n",
    "                                   metrics[('Total Project Cost', 'sum')]).round(4)\n",
    "    \n",
    "    return metrics\n",
    "\n",
    "program_metrics = calculate_program_metrics(data)\n",
    "\n",
    "# Display top programs by different metrics\n",
    "print(\"\\nTop 5 Programs by Total Investment:\")\n",
    "print(program_metrics.sort_values(('Total Project Cost', 'sum'), ascending=False).head())\n",
    "\n",
    "print(\"\\nTop 5 Programs by GHG Reduction Efficiency:\")\n",
    "print(program_metrics.sort_values('GHG_per_dollar', ascending=False).head())\n",
    "\n",
    "print(\"\\nTop 5 Programs by DAC Funding Ratio:\")\n",
    "print(program_metrics.sort_values('DAC_funding_ratio', ascending=False).head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Total Investment by Program (Top 10):\n",
      "                                                     count           sum  \\\n",
      "Program Name                                                               \n",
      "Transit and Intercity Rail Capital Program             245  101461750666   \n",
      "Low Carbon Transit Operations Program                 1003    8777590799   \n",
      "Affordable Housing and Sustainable Communities ...     151    8492944393   \n",
      "Low Carbon Transportation                           105965    3759508172   \n",
      "Community Air Protection                              5514    1211608583   \n",
      "Climate Smart Agriculture                             1688     886514974   \n",
      "Forest Health Program                                  258     837651776   \n",
      "Funding Agricultural Replacement Measures for E...    8554     771297976   \n",
      "Waste Diversion                                        265     643549843   \n",
      "Fire Prevention Program                                600     614281793   \n",
      "\n",
      "                                                            mean  \n",
      "Program Name                                                      \n",
      "Transit and Intercity Rail Capital Program          4.141296e+08  \n",
      "Low Carbon Transit Operations Program               8.751337e+06  \n",
      "Affordable Housing and Sustainable Communities ...  5.624466e+07  \n",
      "Low Carbon Transportation                           3.547877e+04  \n",
      "Community Air Protection                            2.197331e+05  \n",
      "Climate Smart Agriculture                           5.251866e+05  \n",
      "Forest Health Program                               3.246712e+06  \n",
      "Funding Agricultural Replacement Measures for E...  9.016811e+04  \n",
      "Waste Diversion                                     2.428490e+06  \n",
      "Fire Prevention Program                             1.023803e+06  \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dadams/Repos/california_equity_git/.venv/lib/python3.12/site-packages/matplotlib/text.py:1465: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n",
      "  x = float(self.convert_xunits(x))\n",
      "/home/dadams/Repos/california_equity_git/.venv/lib/python3.12/site-packages/matplotlib/text.py:1467: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n",
      "  y = float(self.convert_yunits(y))\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Program Performance Analysis:\n",
      "\n",
      "1. Top 5 Programs by DAC Funding Ratio:\n"
     ]
    },
    {
     "ename": "KeyError",
     "evalue": "\"[('Total Project Cost', 'sum')] not in index\"",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[27], line 62\u001b[0m\n\u001b[1;32m     60\u001b[0m \u001b[38;5;66;03m# Top programs by equity\u001b[39;00m\n\u001b[1;32m     61\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m1. Top 5 Programs by DAC Funding Ratio:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 62\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mclean_data\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnlargest\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m5\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mDAC_funding_ratio\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m[\u001b[49m\n\u001b[1;32m     63\u001b[0m \u001b[43m    \u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mDAC_funding_ratio\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mGHG_per_dollar\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mTotal Project Cost\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43msum\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m     64\u001b[0m \u001b[43m]\u001b[49m)\n\u001b[1;32m     66\u001b[0m \u001b[38;5;66;03m# Top programs by GHG efficiency\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m2. Top 5 Programs by GHG Reduction Efficiency:\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m~/Repos/california_equity_git/.venv/lib/python3.12/site-packages/pandas/core/frame.py:4108\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   4106\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m is_iterator(key):\n\u001b[1;32m   4107\u001b[0m         key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(key)\n\u001b[0;32m-> 4108\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcolumns\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_indexer_strict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcolumns\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m[\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m   4110\u001b[0m \u001b[38;5;66;03m# take() does not accept boolean indexers\u001b[39;00m\n\u001b[1;32m   4111\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(indexer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;28mbool\u001b[39m:\n",
      "File \u001b[0;32m~/Repos/california_equity_git/.venv/lib/python3.12/site-packages/pandas/core/indexes/multi.py:2763\u001b[0m, in \u001b[0;36mMultiIndex._get_indexer_strict\u001b[0;34m(self, key, axis_name)\u001b[0m\n\u001b[1;32m   2760\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(keyarr) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(keyarr[\u001b[38;5;241m0\u001b[39m], \u001b[38;5;28mtuple\u001b[39m):\n\u001b[1;32m   2761\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_indexer_level_0(keyarr)\n\u001b[0;32m-> 2763\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raise_if_missing\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindexer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2764\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m[indexer], indexer\n\u001b[1;32m   2766\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m_get_indexer_strict(key, axis_name)\n",
      "File \u001b[0;32m~/Repos/california_equity_git/.venv/lib/python3.12/site-packages/pandas/core/indexes/multi.py:2781\u001b[0m, in \u001b[0;36mMultiIndex._raise_if_missing\u001b[0;34m(self, key, indexer, axis_name)\u001b[0m\n\u001b[1;32m   2779\u001b[0m cmask \u001b[38;5;241m=\u001b[39m check \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m\n\u001b[1;32m   2780\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cmask\u001b[38;5;241m.\u001b[39many():\n\u001b[0;32m-> 2781\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkeyarr[cmask]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m   2782\u001b[0m \u001b[38;5;66;03m# We get here when levels still contain values which are not\u001b[39;00m\n\u001b[1;32m   2783\u001b[0m \u001b[38;5;66;03m# actually in Index anymore\u001b[39;00m\n\u001b[1;32m   2784\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkeyarr\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m not in index\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "\u001b[0;31mKeyError\u001b[0m: \"[('Total Project Cost', 'sum')] not in index\""
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Let's first get a clear view of our data\n",
    "print(\"\\nTotal Investment by Program (Top 10):\")\n",
    "investment_by_program = data.groupby('Program Name')['Total Project Cost'].agg(['count', 'sum', 'mean'])\n",
    "print(investment_by_program.nlargest(10, 'sum'))\n",
    "\n",
    "# Calculate our key metrics\n",
    "program_metrics = data.groupby('Program Name').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'Total Project GHGReductions': ['sum', 'mean'],\n",
    "    'Total GGRFDisadvantaged Community Funding': ['sum', 'mean'],\n",
    "    'Is Benefit Disadvantaged Communities': 'mean'\n",
    "}).round(2)\n",
    "\n",
    "# Add efficiency metrics\n",
    "program_metrics['GHG_per_dollar'] = (program_metrics[('Total Project GHGReductions', 'sum')] / \n",
    "                                   program_metrics[('Total Project Cost', 'sum')]).round(4)\n",
    "\n",
    "program_metrics['DAC_funding_ratio'] = (program_metrics[('Total GGRFDisadvantaged Community Funding', 'sum')] / \n",
    "                                      program_metrics[('Total Project Cost', 'sum')]).round(4)\n",
    "\n",
    "# Clean data for visualization\n",
    "clean_data = program_metrics[\n",
    "    (program_metrics['GHG_per_dollar'] != float('inf')) & \n",
    "    (program_metrics['DAC_funding_ratio'].notna())\n",
    "]\n",
    "\n",
    "# Create visualization\n",
    "plt.figure(figsize=(15, 10))\n",
    "\n",
    "# Basic scatter plot\n",
    "scatter = plt.scatter(clean_data['DAC_funding_ratio'],\n",
    "                     clean_data['GHG_per_dollar'],\n",
    "                     s=clean_data[('Total Project Cost', 'sum')]/1e7,\n",
    "                     alpha=0.6)\n",
    "\n",
    "# Add labels for major programs\n",
    "for idx, row in clean_data.iterrows():\n",
    "    if row[('Total Project Cost', 'sum')] > 500000000:  # Only label major programs\n",
    "        plt.annotate(idx[:30] + '...' if len(idx) > 30 else idx,\n",
    "                    (row['DAC_funding_ratio'], row['GHG_per_dollar']),\n",
    "                    xytext=(5, 5),\n",
    "                    textcoords='offset points',\n",
    "                    fontsize=8)\n",
    "\n",
    "plt.xlabel('DAC Funding Ratio')\n",
    "plt.ylabel('GHG Reduction per Dollar')\n",
    "plt.title('Program Performance: Equity vs. Climate Impact\\nSize = Total Investment')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Analysis of key metrics\n",
    "print(\"\\nProgram Performance Analysis:\")\n",
    "\n",
    "# Top programs by equity\n",
    "print(\"\\n1. Top 5 Programs by DAC Funding Ratio:\")\n",
    "print(clean_data.nlargest(5, 'DAC_funding_ratio')[\n",
    "    ['DAC_funding_ratio', 'GHG_per_dollar', ('Total Project Cost', 'sum')]\n",
    "])\n",
    "\n",
    "# Top programs by GHG efficiency\n",
    "print(\"\\n2. Top 5 Programs by GHG Reduction Efficiency:\")\n",
    "print(clean_data.nlargest(5, 'GHG_per_dollar')[\n",
    "    ['DAC_funding_ratio', 'GHG_per_dollar', ('Total Project Cost', 'sum')]\n",
    "])\n",
    "\n",
    "# Investment distribution\n",
    "print(\"\\n3. Investment Distribution Summary:\")\n",
    "print(clean_data[('Total Project Cost', 'sum')].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting scikit-learn\n",
      "  Using cached scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (13 kB)\n",
      "Requirement already satisfied: numpy>=1.19.5 in ./.venv/lib/python3.12/site-packages (from scikit-learn) (2.1.2)\n",
      "Requirement already satisfied: scipy>=1.6.0 in ./.venv/lib/python3.12/site-packages (from scikit-learn) (1.14.1)\n",
      "Collecting joblib>=1.2.0 (from scikit-learn)\n",
      "  Using cached joblib-1.4.2-py3-none-any.whl.metadata (5.4 kB)\n",
      "Collecting threadpoolctl>=3.1.0 (from scikit-learn)\n",
      "  Using cached threadpoolctl-3.5.0-py3-none-any.whl.metadata (13 kB)\n",
      "Using cached scikit_learn-1.5.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.9 MB)\n",
      "Using cached joblib-1.4.2-py3-none-any.whl (301 kB)\n",
      "Using cached threadpoolctl-3.5.0-py3-none-any.whl (18 kB)\n",
      "Installing collected packages: threadpoolctl, joblib, scikit-learn\n",
      "Successfully installed joblib-1.4.2 scikit-learn-1.5.2 threadpoolctl-3.5.0\n"
     ]
    }
   ],
   "source": [
    "# install sklearn library\n",
    "!pip install scikit-learn\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Raw Investment Totals by Program:\n",
      "Program Name\n",
      "Transit and Intercity Rail Capital Program                                   101461750666\n",
      "Low Carbon Transit Operations Program                                          8777590799\n",
      "Affordable Housing and Sustainable Communities Program                         8492944393\n",
      "Low Carbon Transportation                                                      3759508172\n",
      "Community Air Protection                                                       1211608583\n",
      "Climate Smart Agriculture                                                       886514974\n",
      "Forest Health Program                                                           837651776\n",
      "Funding Agricultural Replacement Measures for Emission Reductions Program       771297976\n",
      "Waste Diversion                                                                 643549843\n",
      "Fire Prevention Program                                                         614281793\n",
      "Name: (Total Project Cost, sum), dtype: int64\n",
      "\n",
      "Revised Program Type Characteristics:\n",
      "\n",
      "Below Median:\n",
      "Number of programs: 16\n",
      "Average GHG efficiency: 0.0000\n",
      "Average DAC ratio: 0.0000\n",
      "Average project cost: $1,352,617.47\n",
      "Largest program: $1,211,608,583.00\n",
      "\n",
      "Example programs:\n",
      "['Active Transportation Program', 'Climate Change Research Program', 'Climate Ready Program ']\n",
      "\n",
      "High Performer (Both):\n",
      "Number of programs: 10\n",
      "Average GHG efficiency: 0.0129\n",
      "Average DAC ratio: 0.1410\n",
      "Average project cost: $7,428,798.66\n",
      "Largest program: $8,777,590,799.00\n",
      "\n",
      "Example programs:\n",
      "['Affordable Housing and Sustainable Communities Program', 'Climate Smart Agriculture', 'Low Carbon Transit Operations Program']\n",
      "\n",
      "GHG Efficient:\n",
      "Number of programs: 9\n",
      "Average GHG efficiency: 0.0089\n",
      "Average DAC ratio: 0.0000\n",
      "Average project cost: $1,967,095.81\n",
      "Largest program: $837,651,776.00\n",
      "\n",
      "Example programs:\n",
      "['Climate Adaptation and Resiliency Program', 'Food Production Investment Program', 'Forest Health Program']\n",
      "\n",
      "Equity Focused:\n",
      "Number of programs: 3\n",
      "Average GHG efficiency: 0.0001\n",
      "Average DAC ratio: 0.1038\n",
      "Average project cost: $138,638,075.83\n",
      "Largest program: $101,461,750,666.00\n",
      "\n",
      "Example programs:\n",
      "['Community Assistance for Climate Equity Program', 'Transit and Intercity Rail Capital Program', 'Urban Greening Program']\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dadams/Repos/california_equity_git/.venv/lib/python3.12/site-packages/matplotlib/text.py:1465: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n",
      "  x = float(self.convert_xunits(x))\n",
      "/home/dadams/Repos/california_equity_git/.venv/lib/python3.12/site-packages/matplotlib/text.py:1467: FutureWarning: Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead\n",
      "  y = float(self.convert_yunits(y))\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's first look at the raw total investment amounts\n",
    "print(\"Raw Investment Totals by Program:\")\n",
    "print(clean_data[('Total Project Cost', 'sum')].sort_values(ascending=False).head(10))\n",
    "\n",
    "# Modified analysis with corrected calculations\n",
    "def create_program_typology_v2(df):\n",
    "    # Calculate thresholds\n",
    "    ghg_med = df['GHG_per_dollar'].median()\n",
    "    dac_med = df['DAC_funding_ratio'].median()\n",
    "    size_med = df[('Total Project Cost', 'sum')].median()\n",
    "    \n",
    "    # Create categories with corrected investment calculations\n",
    "    conditions = [\n",
    "        (df['GHG_per_dollar'] > ghg_med) & (df['DAC_funding_ratio'] > dac_med),\n",
    "        (df['GHG_per_dollar'] > ghg_med) & (df['DAC_funding_ratio'] <= dac_med),\n",
    "        (df['GHG_per_dollar'] <= ghg_med) & (df['DAC_funding_ratio'] > dac_med),\n",
    "        (df['GHG_per_dollar'] <= ghg_med) & (df['DAC_funding_ratio'] <= dac_med)\n",
    "    ]\n",
    "    \n",
    "    choices = [\n",
    "        'High Performer (Both)',\n",
    "        'GHG Efficient',\n",
    "        'Equity Focused',\n",
    "        'Below Median'\n",
    "    ]\n",
    "    \n",
    "    df['Performance_Type'] = np.select(conditions, choices, default='Other')\n",
    "    df['Scale_Type'] = np.where(df[('Total Project Cost', 'sum')] > size_med, \n",
    "                               'Large Scale', \n",
    "                               'Small Scale')\n",
    "    \n",
    "    return df\n",
    "\n",
    "# Rerun analysis with corrected calculations\n",
    "analysis_data_v2 = clean_data.copy()\n",
    "analysis_data_v2 = create_program_typology_v2(analysis_data_v2)\n",
    "\n",
    "# Summary statistics with corrected investment amounts\n",
    "print(\"\\nRevised Program Type Characteristics:\")\n",
    "for ptype in analysis_data_v2['Performance_Type'].unique():\n",
    "    subset = analysis_data_v2[analysis_data_v2['Performance_Type'] == ptype]\n",
    "    print(f\"\\n{ptype}:\")\n",
    "    print(f\"Number of programs: {len(subset)}\")\n",
    "    print(f\"Average GHG efficiency: {subset['GHG_per_dollar'].mean():.4f}\")\n",
    "    print(f\"Average DAC ratio: {subset['DAC_funding_ratio'].mean():.4f}\")\n",
    "    print(f\"Average project cost: ${subset[('Total Project Cost', 'mean')].mean():,.2f}\")\n",
    "    print(f\"Largest program: ${subset[('Total Project Cost', 'sum')].max():,.2f}\")\n",
    "    print(\"\\nExample programs:\")\n",
    "    print(subset.index.tolist()[:3])\n",
    "\n",
    "# Create visualization with corrected data\n",
    "plt.figure(figsize=(15, 10))\n",
    "\n",
    "# Plot each program type with different colors and corrected sizes\n",
    "for ptype in analysis_data_v2['Performance_Type'].unique():\n",
    "    mask = analysis_data_v2['Performance_Type'] == ptype\n",
    "    subset = analysis_data_v2[mask]\n",
    "    \n",
    "    plt.scatter(subset['DAC_funding_ratio'],\n",
    "               subset['GHG_per_dollar'],\n",
    "               s=subset[('Total Project Cost', 'mean')]/1e5,  # Adjusted scaling factor\n",
    "               alpha=0.6,\n",
    "               label=ptype)\n",
    "\n",
    "plt.xlabel('DAC Funding Ratio')\n",
    "plt.ylabel('GHG Reduction per Dollar')\n",
    "plt.title('Program Performance Types (Corrected Investment Scaling)')\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "\n",
    "# Add annotations for major programs\n",
    "for idx, row in analysis_data_v2.iterrows():\n",
    "    if row[('Total Project Cost', 'mean')] > 1e6:  # Adjust threshold as needed\n",
    "        plt.annotate(idx[:30] + '...' if len(idx) > 30 else idx,\n",
    "                    (row['DAC_funding_ratio'], row['GHG_per_dollar']),\n",
    "                    xytext=(5, 5),\n",
    "                    textcoords='offset points',\n",
    "                    fontsize=8)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1500x1200 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1600 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's create a summary visualization that highlights our main findings\n",
    "plt.figure(figsize=(15, 12))\n",
    "\n",
    "# Create four subplots\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(20, 16))\n",
    "\n",
    "# 1. Program Scale Distribution (Top 10 by Investment)\n",
    "top_10_programs = clean_data[('Total Project Cost', 'sum')].nlargest(10)\n",
    "ax1.barh(range(len(top_10_programs)), top_10_programs/1e9)  # Convert to billions\n",
    "ax1.set_yticks(range(len(top_10_programs)))\n",
    "ax1.set_yticklabels([name[:30] + '...' if len(name) > 30 else name for name in top_10_programs.index])\n",
    "ax1.set_xlabel('Total Investment (Billions $)')\n",
    "ax1.set_title('Top 10 Programs by Investment')\n",
    "\n",
    "# 2. GHG Efficiency vs Project Size\n",
    "ax2.scatter(clean_data[('Total Project Cost', 'mean')]/1e6, \n",
    "           clean_data['GHG_per_dollar'],\n",
    "           alpha=0.6)\n",
    "ax2.set_xlabel('Average Project Size (Millions $)')\n",
    "ax2.set_ylabel('GHG Reduction per Dollar')\n",
    "ax2.set_title('GHG Efficiency vs Project Size')\n",
    "\n",
    "# 3. DAC Funding Ratio vs Program Size\n",
    "ax3.scatter(clean_data[('Total Project Cost', 'sum')]/1e9,\n",
    "           clean_data['DAC_funding_ratio'],\n",
    "           alpha=0.6)\n",
    "ax3.set_xlabel('Total Program Investment (Billions $)')\n",
    "ax3.set_ylabel('DAC Funding Ratio')\n",
    "ax3.set_title('Equity vs Program Size')\n",
    "\n",
    "# 4. Project Count vs Average Size\n",
    "ax4.scatter(clean_data[('Total Project Cost', 'count')],\n",
    "           clean_data[('Total Project Cost', 'mean')]/1e6,\n",
    "           alpha=0.6)\n",
    "ax4.set_xlabel('Number of Projects')\n",
    "ax4.set_ylabel('Average Project Size (Millions $)')\n",
    "ax4.set_title('Project Count vs Average Size')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: seaborn in ./.venv/lib/python3.12/site-packages (0.13.2)\n",
      "Requirement already satisfied: numpy!=1.24.0,>=1.20 in ./.venv/lib/python3.12/site-packages (from seaborn) (2.1.2)\n",
      "Requirement already satisfied: pandas>=1.2 in ./.venv/lib/python3.12/site-packages (from seaborn) (2.2.3)\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in ./.venv/lib/python3.12/site-packages (from seaborn) (3.9.2)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.0)\n",
      "Requirement already satisfied: cycler>=0.10 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.54.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.7)\n",
      "Requirement already satisfied: packaging>=20.0 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (24.1)\n",
      "Requirement already satisfied: pillow>=8 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (11.0.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.2.0)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in ./.venv/lib/python3.12/site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in ./.venv/lib/python3.12/site-packages (from pandas>=1.2->seaborn) (2024.2)\n",
      "Requirement already satisfied: tzdata>=2022.7 in ./.venv/lib/python3.12/site-packages (from pandas>=1.2->seaborn) (2024.2)\n",
      "Requirement already satisfied: six>=1.5 in ./.venv/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.16.0)\n"
     ]
    }
   ],
   "source": [
    "# install seaborn library\n",
    "!pip install seaborn\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Program Scale Categories:\n",
      "\n",
      "Investment Scale Categories (in Millions $):\n",
      "Small Programs: < $20.0M\n",
      "Medium Programs: $20.0M - $97.0M\n",
      "Large Programs: $97.0M - $587.9M\n",
      "Mega Programs: > $587.9M\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Set up the figure with a clean, modern style\n",
    "plt.rcParams['font.family'] = 'DejaVu Sans'\n",
    "plt.rcParams['axes.linewidth'] = 1.0\n",
    "plt.rcParams['axes.grid'] = True\n",
    "plt.rcParams['grid.alpha'] = 0.3\n",
    "\n",
    "fig = plt.figure(figsize=(20, 15))\n",
    "\n",
    "# 1. Project Volume vs Investment (Enhanced)\n",
    "ax1 = plt.subplot(2, 2, 1)\n",
    "scatter = plt.scatter(clean_data[('Total Project Cost', 'count')],\n",
    "                     clean_data[('Total Project Cost', 'mean')]/1e6,\n",
    "                     s=clean_data[('Total Project Cost', 'sum')]/1e8,\n",
    "                     alpha=0.7,\n",
    "                     c=range(len(clean_data)),\n",
    "                     cmap='viridis')\n",
    "ax1.set_xlabel('Number of Projects', fontsize=12, fontweight='bold')\n",
    "ax1.set_ylabel('Average Project Size (Millions $)', fontsize=12, fontweight='bold')\n",
    "ax1.set_title('Program Scale Analysis\\nBubble size represents total investment', \n",
    "              fontsize=14, pad=20, fontweight='bold')\n",
    "\n",
    "# Add annotations for notable programs\n",
    "for idx, row in clean_data.iterrows():\n",
    "    if row[('Total Project Cost', 'sum')] > 5e9:\n",
    "        plt.annotate(idx[:30],\n",
    "                    (row[('Total Project Cost', 'count')], \n",
    "                     row[('Total Project Cost', 'mean')]/1e6),\n",
    "                    xytext=(5, 5), textcoords='offset points',\n",
    "                    fontsize=8,\n",
    "                    bbox=dict(facecolor='white', edgecolor='none', alpha=0.8))\n",
    "\n",
    "# 2. Program Size Distribution (Enhanced)\n",
    "ax2 = plt.subplot(2, 2, 2)\n",
    "sizes = clean_data[('Total Project Cost', 'sum')]/1e6\n",
    "plt.hist(np.log10(sizes[sizes > 0]), \n",
    "         bins=20, \n",
    "         color='dodgerblue',\n",
    "         edgecolor='white',\n",
    "         alpha=0.7)\n",
    "ax2.set_xlabel('Log10(Total Program Size) in Millions $', fontsize=12, fontweight='bold')\n",
    "ax2.set_ylabel('Count', fontsize=12, fontweight='bold')\n",
    "ax2.set_title('Distribution of Program Sizes\\nNatural groupings by investment scale', \n",
    "              fontsize=14, pad=20, fontweight='bold')\n",
    "\n",
    "# 3. Top 10 Programs (Enhanced)\n",
    "ax3 = plt.subplot(2, 2, 3)\n",
    "top_10 = clean_data[('Total Project Cost', 'sum')].nlargest(10)/1e9\n",
    "colors = plt.cm.viridis(np.linspace(0, 0.8, len(top_10)))\n",
    "bars = ax3.barh(range(len(top_10)), top_10, color=colors)\n",
    "ax3.set_yticks(range(len(top_10)))\n",
    "ax3.set_yticklabels([name[:40] + '...' if len(name) > 40 else name \n",
    "                     for name in top_10.index],\n",
    "                    fontsize=8)\n",
    "ax3.set_xlabel('Total Investment (Billions $)', fontsize=12, fontweight='bold')\n",
    "ax3.set_title('Top 10 Programs by Investment\\nHighlighting investment concentration', \n",
    "              fontsize=14, pad=20, fontweight='bold')\n",
    "\n",
    "# Add value labels to bars\n",
    "for i, bar in enumerate(bars):\n",
    "    width = bar.get_width()\n",
    "    ax3.text(width, bar.get_y() + bar.get_height()/2,\n",
    "             f'${width:.1f}B',\n",
    "             ha='left', va='center', fontsize=8,\n",
    "             bbox=dict(facecolor='white', edgecolor='none', alpha=0.8))\n",
    "\n",
    "# 4. Geographic Distribution (Enhanced)\n",
    "ax4 = plt.subplot(2, 2, 4)\n",
    "top_15_counties = county_analysis['total_investment'].nlargest(15)/1e6\n",
    "colors = plt.cm.viridis(np.linspace(0, 0.8, len(top_15_counties)))\n",
    "bars = ax4.barh(range(len(top_15_counties)), top_15_counties, color=colors)\n",
    "ax4.set_yticks(range(len(top_15_counties)))\n",
    "ax4.set_yticklabels(top_15_counties.index, fontsize=8)\n",
    "ax4.set_xlabel('Total Investment (Millions $)', fontsize=12, fontweight='bold')\n",
    "ax4.set_title('Investment by County\\nTop 15 counties by total investment', \n",
    "              fontsize=14, pad=20, fontweight='bold')\n",
    "\n",
    "# Add value labels\n",
    "for i, bar in enumerate(bars):\n",
    "    width = bar.get_width()\n",
    "    ax4.text(width, bar.get_y() + bar.get_height()/2,\n",
    "             f'${width:.0f}M',\n",
    "             ha='left', va='center', fontsize=8,\n",
    "             bbox=dict(facecolor='white', edgecolor='none', alpha=0.8))\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Print summary statistics for context\n",
    "print(\"\\nProgram Scale Categories:\")\n",
    "quartiles = np.percentile(sizes[sizes > 0], [25, 50, 75])\n",
    "print(\"\\nInvestment Scale Categories (in Millions $):\")\n",
    "print(f\"Small Programs: < ${quartiles[0]:.1f}M\")\n",
    "print(f\"Medium Programs: ${quartiles[0]:.1f}M - ${quartiles[1]:.1f}M\")\n",
    "print(f\"Large Programs: ${quartiles[1]:.1f}M - ${quartiles[2]:.1f}M\")\n",
    "print(f\"Mega Programs: > ${quartiles[2]:.1f}M\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Spatial Distribution Analysis:\n",
      "\n",
      "1. Investment Concentration:\n",
      "Top 5 counties account for 75.6% of total investment\n",
      "\n",
      "2. Project Distribution:\n",
      "Top 5 counties account for 51.1% of all projects\n",
      "\n",
      "3. Regional Equity Analysis:\n",
      "\n",
      "DAC Benefit Rate by Region:\n",
      "count    299.000\n",
      "mean       0.149\n",
      "std        0.297\n",
      "min        0.000\n",
      "25%        0.000\n",
      "50%        0.000\n",
      "75%        0.125\n",
      "max        1.000\n",
      "Name: dac_rate, dtype: float64\n",
      "\n",
      "4. Project Type Distribution:\n",
      "\n",
      "Los Angeles Program Distribution:\n",
      "Program Name\n",
      "Low Carbon Transportation            32598\n",
      "Low-Income Weatherization Program     2233\n",
      "Water-Energy Efficiency               1945\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Alameda Program Distribution:\n",
      "Program Name\n",
      "Low Carbon Transportation    5677\n",
      "Water-Energy Efficiency       244\n",
      "Community Air Protection      223\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Madera, Merced, Sacramento, San Joaquin, Santa Clara, Stanislaus, Tulare Program Distribution:\n",
      "Program Name\n",
      "Transit and Intercity Rail Capital Program    9\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Sacramento Program Distribution:\n",
      "Program Name\n",
      "Low Carbon Transportation            3556\n",
      "Water-Energy Efficiency               422\n",
      "Low-Income Weatherization Program     297\n",
      "Name: count, dtype: int64\n",
      "\n",
      "San Diego Program Distribution:\n",
      "Program Name\n",
      "Low Carbon Transportation            7865\n",
      "Community Air Protection              105\n",
      "Low-Income Weatherization Program      83\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# First, let's prepare our county-level metrics\n",
    "county_analysis = data.groupby('County').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean',\n",
    "    'Is Low Income Communities': 'mean'\n",
    "})\n",
    "\n",
    "# Flatten column names\n",
    "county_analysis.columns = [\n",
    "    'project_count', 'total_investment', 'avg_project_size',\n",
    "    'total_ghg_reduction', 'dac_rate', 'low_income_rate'\n",
    "]\n",
    "\n",
    "# Calculate per-project metrics\n",
    "county_analysis['ghg_per_dollar'] = county_analysis['total_ghg_reduction'] / county_analysis['total_investment']\n",
    "county_analysis['investment_per_project'] = county_analysis['total_investment'] / county_analysis['project_count']\n",
    "\n",
    "# Create visualization of spatial patterns\n",
    "fig = plt.figure(figsize=(20, 15))\n",
    "\n",
    "# 1. Investment Distribution\n",
    "plt.subplot(2, 2, 1)\n",
    "top_15 = county_analysis['total_investment'].sort_values(ascending=True).tail(15)/1e6\n",
    "plt.barh(range(len(top_15)), top_15, color='dodgerblue', alpha=0.7)\n",
    "plt.yticks(range(len(top_15)), top_15.index)\n",
    "plt.xlabel('Total Investment (Millions $)')\n",
    "plt.title('Top 15 Counties by Total Investment', fontsize=12, pad=15)\n",
    "\n",
    "# 2. Project Count Distribution\n",
    "plt.subplot(2, 2, 2)\n",
    "top_15_count = county_analysis['project_count'].sort_values(ascending=True).tail(15)\n",
    "plt.barh(range(len(top_15_count)), top_15_count, color='dodgerblue', alpha=0.7)\n",
    "plt.yticks(range(len(top_15_count)), top_15_count.index)\n",
    "plt.xlabel('Number of Projects')\n",
    "plt.title('Top 15 Counties by Project Count', fontsize=12, pad=15)\n",
    "\n",
    "# 3. DAC Benefit Rate\n",
    "plt.subplot(2, 2, 3)\n",
    "top_15_dac = county_analysis['dac_rate'].sort_values(ascending=True).tail(15)\n",
    "plt.barh(range(len(top_15_dac)), top_15_dac*100, color='dodgerblue', alpha=0.7)\n",
    "plt.yticks(range(len(top_15_dac)), top_15_dac.index)\n",
    "plt.xlabel('Percentage of Projects Benefiting DACs')\n",
    "plt.title('Top 15 Counties by DAC Benefit Rate', fontsize=12, pad=15)\n",
    "\n",
    "# 4. GHG Efficiency\n",
    "plt.subplot(2, 2, 4)\n",
    "top_15_ghg = county_analysis['ghg_per_dollar'].sort_values(ascending=True).tail(15)\n",
    "plt.barh(range(len(top_15_ghg)), top_15_ghg, color='dodgerblue', alpha=0.7)\n",
    "plt.yticks(range(len(top_15_ghg)), top_15_ghg.index)\n",
    "plt.xlabel('GHG Reduction per Dollar')\n",
    "plt.title('Top 15 Counties by GHG Efficiency', fontsize=12, pad=15)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Print detailed analysis\n",
    "print(\"\\nSpatial Distribution Analysis:\")\n",
    "print(\"\\n1. Investment Concentration:\")\n",
    "investment_share = (county_analysis['total_investment'].nlargest(5).sum() / \n",
    "                   county_analysis['total_investment'].sum() * 100)\n",
    "print(f\"Top 5 counties account for {investment_share:.1f}% of total investment\")\n",
    "\n",
    "print(\"\\n2. Project Distribution:\")\n",
    "project_share = (county_analysis['project_count'].nlargest(5).sum() / \n",
    "                county_analysis['project_count'].sum() * 100)\n",
    "print(f\"Top 5 counties account for {project_share:.1f}% of all projects\")\n",
    "\n",
    "print(\"\\n3. Regional Equity Analysis:\")\n",
    "print(\"\\nDAC Benefit Rate by Region:\")\n",
    "print(county_analysis['dac_rate'].describe().round(3))\n",
    "\n",
    "print(\"\\n4. Project Type Distribution:\")\n",
    "# Look at program types in top 5 counties\n",
    "top_5_counties = county_analysis['total_investment'].nlargest(5).index\n",
    "for county in top_5_counties:\n",
    "    print(f\"\\n{county} Program Distribution:\")\n",
    "    county_programs = data[data['County'] == county]['Program Name'].value_counts().head(3)\n",
    "    print(county_programs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Multi-County Collaboration Analysis:\n",
      "\n",
      "Total number of multi-county projects: 874\n",
      "Total investment in multi-county projects: $18.31B\n",
      "\n",
      "Major Multi-County Collaborations:\n",
      "                                                    project_count  \\\n",
      "County                                                              \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...              9   \n",
      "San Francisco, Santa Clara                                      6   \n",
      "San Diego, Santa Barbara, Ventura                              23   \n",
      "San Francisco, San Mateo, Santa Clara                           3   \n",
      "Los Angeles, Ventura                                            3   \n",
      "Marin, Sonoma                                                  15   \n",
      "Los Angeles, San Bernardino                                    29   \n",
      "Humboldt, Mendocino                                             5   \n",
      "Contra Costa, San Francisco                                     3   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...              2   \n",
      "\n",
      "                                                    total_investment  \\\n",
      "County                                                                 \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...        7333200000   \n",
      "San Francisco, Santa Clara                                2998442533   \n",
      "San Diego, Santa Barbara, Ventura                         2235315130   \n",
      "San Francisco, San Mateo, Santa Clara                     2145553263   \n",
      "Los Angeles, Ventura                                       877252312   \n",
      "Marin, Sonoma                                              363189831   \n",
      "Los Angeles, San Bernardino                                177831134   \n",
      "Humboldt, Mendocino                                        155426149   \n",
      "Contra Costa, San Francisco                                135489931   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...         130936629   \n",
      "\n",
      "                                                    avg_project_size  \\\n",
      "County                                                                 \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...      8.148000e+08   \n",
      "San Francisco, Santa Clara                              4.997404e+08   \n",
      "San Diego, Santa Barbara, Ventura                       9.718761e+07   \n",
      "San Francisco, San Mateo, Santa Clara                   7.151844e+08   \n",
      "Los Angeles, Ventura                                    2.924174e+08   \n",
      "Marin, Sonoma                                           2.421266e+07   \n",
      "Los Angeles, San Bernardino                             6.132108e+06   \n",
      "Humboldt, Mendocino                                     3.108523e+07   \n",
      "Contra Costa, San Francisco                             4.516331e+07   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...      6.546831e+07   \n",
      "\n",
      "                                                    total_ghg_reduction  \\\n",
      "County                                                                    \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...               546406   \n",
      "San Francisco, Santa Clara                                      1538067   \n",
      "San Diego, Santa Barbara, Ventura                                791432   \n",
      "San Francisco, San Mateo, Santa Clara                           2100845   \n",
      "Los Angeles, Ventura                                              74882   \n",
      "Marin, Sonoma                                                    234508   \n",
      "Los Angeles, San Bernardino                                       22220   \n",
      "Humboldt, Mendocino                                               24160   \n",
      "Contra Costa, San Francisco                                       60369   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...               104667   \n",
      "\n",
      "                                                    dac_benefit_rate  \\\n",
      "County                                                                 \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...              0.00   \n",
      "San Francisco, Santa Clara                                      0.17   \n",
      "San Diego, Santa Barbara, Ventura                               0.00   \n",
      "San Francisco, San Mateo, Santa Clara                           0.33   \n",
      "Los Angeles, Ventura                                            0.00   \n",
      "Marin, Sonoma                                                   0.00   \n",
      "Los Angeles, San Bernardino                                     0.48   \n",
      "Humboldt, Mendocino                                             0.00   \n",
      "Contra Costa, San Francisco                                     0.33   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...              0.00   \n",
      "\n",
      "                                                    dac_funding  \\\n",
      "County                                                            \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...          0.0   \n",
      "San Francisco, Santa Clara                           20000000.0   \n",
      "San Diego, Santa Barbara, Ventura                           0.0   \n",
      "San Francisco, San Mateo, Santa Clara                  935322.0   \n",
      "Los Angeles, Ventura                                        0.0   \n",
      "Marin, Sonoma                                               0.0   \n",
      "Los Angeles, San Bernardino                          10812422.0   \n",
      "Humboldt, Mendocino                                         0.0   \n",
      "Contra Costa, San Francisco                            631879.0   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...          0.0   \n",
      "\n",
      "                                                    ghg_per_dollar  \\\n",
      "County                                                               \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...        0.000075   \n",
      "San Francisco, Santa Clara                                0.000513   \n",
      "San Diego, Santa Barbara, Ventura                         0.000354   \n",
      "San Francisco, San Mateo, Santa Clara                     0.000979   \n",
      "Los Angeles, Ventura                                      0.000085   \n",
      "Marin, Sonoma                                             0.000646   \n",
      "Los Angeles, San Bernardino                               0.000125   \n",
      "Humboldt, Mendocino                                       0.000155   \n",
      "Contra Costa, San Francisco                               0.000446   \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...        0.000799   \n",
      "\n",
      "                                                    dac_funding_ratio  \n",
      "County                                                                 \n",
      "Alameda, Contra Costa, Fresno, Kern, Kings, Mad...           0.000000  \n",
      "San Francisco, Santa Clara                                   0.006670  \n",
      "San Diego, Santa Barbara, Ventura                            0.000000  \n",
      "San Francisco, San Mateo, Santa Clara                        0.000436  \n",
      "Los Angeles, Ventura                                         0.000000  \n",
      "Marin, Sonoma                                                0.000000  \n",
      "Los Angeles, San Bernardino                                  0.060802  \n",
      "Humboldt, Mendocino                                          0.000000  \n",
      "Contra Costa, San Francisco                                  0.004664  \n",
      "Los Angeles, San Diego, San Luis Obispo, Santa ...           0.000000  \n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAB8UAAASlCAYAAAAxuAg6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzde3zP9f//8ft7wzbGGDuWbMwxx+ZjiCZWc8i5NJRjFAkNSR8RkRJCyT4qpMiZdHIakcwcF0pCtA42hzVsMez9+v3ht/e3d9vYbPPa3t2ul8v78tnr+Xq+Xq/7a16fd+/XHu/n82UxDMMQAAAAAAAAAAAAAAAOyMnsAAAAAAAAAAAAAAAAFBSK4gAAAAAAAAAAAAAAh0VRHAAAAAAAAAAAAADgsCiKAwAAAAAAAAAAAAAcFkVxAAAAAAAAAAAAAIDDoigOAAAAAAAAAAAAAHBYFMUBAAAAAAAAAAAAAA6LojgAAAAAAAAAAAAAwGFRFAcAAAAAAAAAAAAAOCyK4gAAAHAoAQEB6tOnj9kxcq1Pnz4KCAgwO8a/zsKFC2WxWHTq1CmzowAAAACFwvr161W/fn25urrKYrEoOTlZkvTRRx+pRo0aKl68uMqWLStJatGihVq0aJHrY1gsFr3yyiv5lhnm4d8SQFFBURwAAAAFLqPwmPFydXVVtWrVNGTIECUmJpodL1dee+01rV27Nsf9z549q2HDhqlGjRpyc3OTt7e3GjVqpNGjRyslJaXggubCmjVr1KZNG1WoUEElSpSQv7+/unXrpi1btpgdDQAAACjUTp48qSFDhqhatWoqWbKkSpYsqVq1aunZZ5/VwYMH7fq+8sorslgsOnfuXJb7CggI0COPPJKpPS0tTW+//baaNWumcuXK2T6zd+jQQZ988onS09NvmTMgIMDunuzvr9atW9v6nT9/Xt26dZObm5vmzJmjjz76SKVKldKPP/6oPn36qEqVKnrvvfc0b968XP6mHNeJEyf09NNPq3LlynJ1dVWZMmV0//33a9asWbp8+bLZ8QAA/18xswMAAADg32PixIkKDAzUlStXtGPHDs2dO1dffvmlDh8+rJIlS+bLMY4ePSonp4L77udrr72mRx99VJ06dbpl36SkJDVs2FAXL15Uv379VKNGDZ0/f14HDx7U3LlzNWjQILm7u0uS3nvvPVmt1gLLnRXDMNSvXz8tXLhQDRo0UGRkpHx9fXX69GmtWbNGrVq10rfffqumTZve0Vx30pNPPqmIiAi5uLiYHQUAAABFzOeff67HH39cxYoVU8+ePVWvXj05OTnpxx9/1OrVqzV37lydPHlSlSpVuu1jnD17Vm3atNG+ffsUHh6usWPHytPTUwkJCdq8ebN69Oih48eP6+WXX77lvurXr68RI0Zkavf397f9vGfPHl26dEmvvvqqwsLCbO1ff/21rFarZs2apaCgIFv7xo0bb+u8Ll++rGLFin554osvvtBjjz0mFxcX9erVS7Vr19bVq1e1Y8cOjRo1St9//73Df4HAUf4tATg+3qkAAABwx7Rp00YNGzaUJD311FMqX768ZsyYoU8//VTdu3fPcpvU1FSVKlUqx8coTMXNDz74QPHx8VkWli9evKgSJUrYlosXL36n42n69OlauHChhg8frhkzZshisdjW/fe//9VHH33ksH/cyLiunJ2d5ezsbHYcAAAAFDEnTpxQRESEKlWqpOjoaPn5+dmtf+ONN/Tuu+/m+Qu7Tz75pA4cOKBVq1apS5cuduvGjBmjvXv36ujRozna11133aUnnnjipn3OnDkjSbbp0W/V/vd7mtxwdXW9re0Kk5MnT9qugS1btthdA88++6yOHz+uL774wsSEBcdqterq1atydXV1iH9LAP8OTJ8OAAAA07Rs2VLSjT8mSDeeq+3u7q4TJ06obdu2Kl26tHr27CnpRhFzxIgRqlixolxcXFS9enVNmzZNhmHY7TOrZ4onJydr+PDhtm2DgoL0xhtvZBqZnTHyoU6dOnJ1dZWXl5dat26tvXv3SrrxrLTU1FR9+OGHtqkGb/b88hMnTsjZ2VmNGzfOtK5MmTJ2fzz45zPFW7Roke30hgsXLsz1uf3T5cuXNWXKFNWoUUPTpk2zK4hnePLJJ9WoUSPb8s8//6zHHntMnp6eKlmypBo3bpzpjzxff/21LBaLli9frgkTJuiuu+5S6dKl9eijj+rChQtKS0vT8OHD5e3tLXd3d/Xt21dpaWl2+7BYLBoyZIgWL16s6tWry9XVVcHBwdq+fbtdv19++UWDBw9W9erV5ebmpvLly+uxxx7L9HzwjOn7t23bpsGDB8vb21t333233bq/b7N3716Fh4erQoUKcnNzU2BgoPr162e3z5xejxnnsnbtWtWuXVsuLi669957tX79+pv++wAAAKBwmzp1qlJTU7VgwYJMBXFJKlasmIYOHaqKFSve9jFiYmK0YcMGDRw4MFNBPEPDhg1t90x51aJFC/Xu3VuS9J///Md2vxMQEKDx48dLkry8vOyeIZ3VM8WvXLmiV155RdWqVZOrq6v8/PzUpUsXnThxwtYnq+dQ//777+rXr598fHxsn5vnz59v1+fv9xuTJ0/W3XffLVdXV7Vq1UrHjx/PdE6xsbFq27atypUrp1KlSqlu3bqaNWuWJGnBggWyWCw6cOBApu1ee+01OTs76/fff8/29zV16lSlpKTogw8+yPIaCAoK0rBhw2zL169f16uvvqoqVarIxcVFAQEBeumllzLdD2VMo//111+rYcOGcnNzU506dfT1119LklavXm27Zw0ODs6UP+O++ueff1Z4eLhKlSolf39/TZw4MdP9yrRp09S0aVOVL19ebm5uCg4O1sqVKzOdy9/v0e699165uLjY7mn++W956dIlDR8+XAEBAXJxcZG3t7ceeugh7d+/326fK1asUHBwsNzc3FShQgU98cQTmX7fGefy+++/q1OnTnJ3d5eXl5dGjhyZo8cGAMDfOeawDwAAABQJGX8UKV++vK3t+vXrCg8PV7NmzTRt2jSVLFlShmGoQ4cO2rp1q/r376/69etrw4YNGjVqlH7//Xe99dZb2R7jr7/+UmhoqH7//Xc9/fTTuueee7Rz506NGTNGp0+f1syZM219+/fvr4ULF6pNmzZ66qmndP36dX3zzTfatWuXGjZsqI8++khPPfWUGjVqpIEDB0qSqlSpku2xK1WqpPT0dH300Ue2Py7l1H//+1899dRTdm0ff/yxNmzYIG9v71yf2z/t2LFDSUlJGj58eI5GSicmJqpp06b666+/NHToUJUvX14ffvihOnTooJUrV6pz5852/adMmSI3Nze9+OKLOn78uN5++20VL15cTk5O+vPPP/XKK69o165dWrhwoQIDAzVu3Di77bdt26Zly5Zp6NChcnFx0bvvvqvWrVtr9+7dql27tqQbUzvu3LlTERERuvvuu3Xq1CnNnTtXLVq00A8//JBpSv7BgwfLy8tL48aNU2pqapbneebMGT388MPy8vLSiy++qLJly+rUqVNavXq1rU9ur8cdO3Zo9erVGjx4sEqXLq3Zs2era9euio+Pt7v2AQAAUHR8/vnnCgoKUkhISK63TUpKyrL9n19s/eyzzyTplqO7c+ratWtZPs+8VKlScnNz03//+19Vr15d8+bNsz36qkqVKurUqZMWLVqkNWvWaO7cuXJ3d1fdunWzPEZ6eroeeeQRRUdHKyIiQsOGDdOlS5e0adMmHT58ONv7p8TERDVu3NhWfPXy8tJXX32l/v376+LFixo+fLhd/9dff11OTk4aOXKkLly4oKlTp6pnz56KjY219dm0aZMeeeQR+fn5adiwYfL19dWRI0f0+eefa9iwYXr00Uf17LPPavHixWrQoIHd/hcvXqwWLVrorrvuyvb3+dlnn6ly5co5ftzUU089pQ8//FCPPvqoRowYodjYWE2ZMkVHjhzRmjVr7PoeP35cPXr00NNPP60nnnhC06ZNU/v27RUVFaWXXnpJgwcPlnTjvqtbt26ZHiOWnp6u1q1bq3Hjxpo6darWr1+v8ePH6/r165o4caKt36xZs9ShQwf17NlTV69e1dKlS/XYY4/p888/V7t27ewybdmyRcuXL9eQIUNUoUIFuy91/90zzzyjlStXasiQIapVq5bOnz+vHTt26MiRI7rvvvsk3fhyct++ffWf//xHU6ZMUWJiombNmqVvv/1WBw4csJuRID09XeHh4QoJCdG0adO0efNmTZ8+XVWqVNGgQYNy9LsHAEmSAQAAABSwBQsWGJKMzZs3G2fPnjV+/fVXY+nSpUb58uUNNzc347fffjMMwzB69+5tSDJefPFFu+3Xrl1rSDImTZpk1/7oo48aFovFOH78uK2tUqVKRu/evW3Lr776qlGqVCnjp59+stv2xRdfNJydnY34+HjDMAxjy5YthiRj6NChmfJbrVbbz6VKlbLb/80kJCQYXl5ehiSjRo0axjPPPGMsWbLESE5OztS3d+/eRqVKlbLd17fffmsUL17c6NevX67PLSuzZs0yJBlr1qzJ0bkMHz7ckGR88803trZLly4ZgYGBRkBAgJGenm4YhmFs3brVkGTUrl3buHr1qq1v9+7dDYvFYrRp08Zuv02aNMl03pIMScbevXttbb/88ovh6upqdO7c2db2119/ZcoZExNjSDIWLVpka8u4/po1a2Zcv37drn/GupMnTxqGYRhr1qwxJBl79uzJ9neRm+tRklGiRAm7tu+++86QZLz99tvZHgMAAACF14ULFwxJRqdOnTKt+/PPP42zZ8/aXn//zDp+/HjbZ93sXu3atbP179y5syEp0/3D5cuX7Y7x559/3jJzpUqVsj3mlClTbP0yPh//8/NwRvazZ8/atYeGhhqhoaG25fnz5xuSjBkzZmTK8Pf7KknG+PHjbcv9+/c3/Pz8jHPnztltExERYXh4eNh+jxn3GzVr1jTS0tJs/TLubw4dOmQYhmFcv37dCAwMNCpVqpTp9/P3HN27dzf8/f1t9zOGYRj79+83JBkLFizIdA4ZMq6Bjh07Ztvn7+Li4gxJxlNPPWXXPnLkSEOSsWXLFltbxr/Vzp07bW0bNmwwJBlubm7GL7/8Ymv/3//+Z0gytm7damvLuK9+7rnn7M65Xbt2RokSJez+Df95T3X16lWjdu3aRsuWLe3aJRlOTk7G999/n+nc/vlv6eHhYTz77LPZ/i6uXr1qeHt7G7Vr1zYuX75sa//8888NSca4ceMyncvEiRPt9tGgQQMjODg422MAQFaYPh0AAAB3TFhYmLy8vFSxYkVFRETI3d1da9asyfTt+39+2/vLL7+Us7Ozhg4datc+YsQIGYahr776KttjrlixQs2bN1e5cuV07tw52yssLEzp6em2KblXrVoli8Vimxbw77KaWjwnfHx89N133+mZZ57Rn3/+qaioKPXo0UPe3t569dVXM01dl52EhAQ9+uijql+/vt59991cn1tWLl68KEkqXbp0jjJ8+eWXatSokZo1a2Zrc3d318CBA3Xq1Cn98MMPdv179epl95z0kJAQGYaRaRrykJAQ/frrr7p+/bpde5MmTRQcHGxbvueee9SxY0dt2LDBNk2em5ubbf21a9d0/vx5BQUFqWzZspmm5pOkAQMG3HJUfMaIhM8//1zXrl3Lsk9ur8ewsDC7ETF169ZVmTJl9PPPP980CwAAAAqnjM/S7u7umda1aNFCXl5ettecOXMy9Vm1apU2bdqU6eXj45Oj40RFRdkd4++f0W8mJCQky+N27949R9vnxKpVq1ShQgU999xzmdZld19lGIZWrVql9u3byzAMu3ub8PBwXbhwIdPn+759+9o9z7x58+aSZPuMfeDAAZ08eVLDhw/P9Bz0v+fo1auX/vjjD23dutXWtnjxYrm5ualr167Znuft3E9JUmRkpF37iBEjJCnTY6lq1aqlJk2a2JYzZiRo2bKl7rnnnkztWd1bDBkyxPZzxgj8q1evavPmzbb2v99T/fnnn7pw4YKaN2+e5f1UaGioatWqdYszvXFPFRsbqz/++CPL9Xv37tWZM2c0ePBgu0eKtWvXTjVq1MjyOezPPPOM3XLz5s25nwKQa0yfDgAAgDtmzpw5qlatmooVKyYfHx9Vr17dboo36caz9zKe95zhl19+kb+/f6Y/ONSsWdO2PjvHjh3TwYMH5eXlleX6M2fOSLoxlbu/v788PT1zfV434+fnp7lz5+rdd9/VsWPHtGHDBr3xxhsaN26c/Pz8Mk2R/k/Xr19Xt27dlJ6ertWrV8vFxcW2LqfnlpUyZcpIuvG8t5z45Zdfspwa8u//BhnTmkuy+0ONJHl4eEhSpmcqenh4yGq16sKFC3ZTiVetWjXTsapVq6a//vpLZ8+ela+vr+256AsWLNDvv/9u9yWDCxcuZNo+MDDwlucZGhqqrl27asKECXrrrbfUokULderUST169LD97nN7Pf7zdyFJ5cqV059//nnLPAAAACh8Mj4HpqSkZFr3v//9T5cuXVJiYmK2054/8MADqlChQqb2vxcI/3mcjM/TktS1a1fbZ+8RI0bk+NnKFSpUUFhYWI763q4TJ06oevXqKlYs56WHs2fPKjk5WfPmzdO8efOy7PPPe5t/fsYuV66cJNk+Y2c8quvv9yhZeeihh+Tn56fFixerVatWslqt+uSTT9SxY8ebFrxv537KyclJQUFBdu2+vr4qW7bsLe8hbnY/JSnTvYWTk5MqV65s11atWjVJ0qlTp2xtn3/+uSZNmqS4uDi7Z5tn9QWGnNxPSTeetd67d29VrFhRwcHBatu2rXr16mXLk3Gu1atXz7RtjRo1tGPHDrs2V1fXTPe83E8BuB0UxQEAAHDHNGrUSA0bNrxpHxcXl0yF8rywWq166KGH9MILL2S5PuMPAwXNYrGoWrVqqlatmtq1a6eqVatq8eLFtyyKjxo1SjExMdq8eXOmLwvk5dxq1KghSTp06JA6deqUu5PJgexGZGfXntNR83/33HPPacGCBRo+fLiaNGkiDw8PWSwWRUREZHoeo2Q/CiI7FotFK1eu1K5du/TZZ59pw4YN6tevn6ZPn65du3ZlORroVvLznAEAAGA+Dw8P+fn56fDhw5nWZXyR9O+Fx9uV8Zn98OHDuv/++23tFStWtBVHM2aNKsoyPrs/8cQT6t27d5Z9/vkM8/z6jO3s7KwePXrovffe07vvvqtvv/1Wf/zxxy2f416mTBn5+/tneQ3cTE5nIbsT91PffPONOnTooAceeEDvvvuu/Pz8VLx4cS1YsEBLlizJ1D8n91OS1K1bNzVv3lxr1qzRxo0b9eabb+qNN97Q6tWr1aZNm1znvNVsXwCQUxTFAQAAUOhVqlRJmzdv1qVLl+y+rf/jjz/a1menSpUqSklJueWIiCpVqmjDhg1KSkq66Wjx251K/e8qV66scuXK6fTp0zftt3TpUs2cOVMzZ85UaGholplzcm5ZadasmcqVK6dPPvlEL7300i3/0FCpUiUdPXo0U3tO/g1ux7FjxzK1/fTTTypZsqRtlMDKlSvVu3dvTZ8+3dbnypUrSk5OzvPxGzdurMaNG2vy5MlasmSJevbsqaVLl+qpp57K0/UIAAAAx9CuXTu9//772r17txo1alQgx3jkkUf0+uuva/HixXZF8cKsSpUqio2N1bVr1+wep3QzXl5eKl26tNLT0/NtJHvG44sOHz58y3326tVL06dP12effaavvvpKXl5eCg8Pv+UxHnnkEc2bN08xMTF2U51npVKlSrJarTp27JhthilJSkxMVHJycr7fQ1itVv388892X5T+6aefJEkBAQGSbkx17+rqqg0bNtjNSLZgwYI8H9/Pz0+DBw/W4MGDdebMGd13332aPHmy2rRpYzvXo0ePqmXLlnbbHT16lPspAAWGZ4oDAACg0Gvbtq3S09P1zjvv2LW/9dZbslgsN/22ebdu3RQTE6MNGzZkWpecnGx7lnXXrl1lGIYmTJiQqd/fv3VfqlSpHBddY2NjlZqamql99+7dOn/+fJbTxWU4fPiwnnrqKT3xxBMaNmxYln1yem5ZKVmypEaPHq0jR45o9OjRWY4s+Pjjj7V7925JN/4Ndu/erZiYGNv61NRUzZs3TwEBATl6tlxuxMTE2D3H7tdff9Wnn36qhx9+2FbAd3Z2zpT77bffzvH0kVn5888/M+2zfv36kmSbTjAv1yMAAAAcwwsvvKCSJUuqX79+SkxMzLQ+P2YFuv/++/XQQw9p3rx5+vTTT7PsU9hmH+ratavOnTuX6bOylH1WZ2dnde3aVatWrcpy5PXZs2dzneO+++5TYGCgZs6cmen+7Z856tatq7p16+r999/XqlWrFBERkaPp31944QWVKlVKTz31VJbXwIkTJzRr1ixJN+4hJGnmzJl2fWbMmCHpxpcs8tvf/w0Mw9A777yj4sWLq1WrVpJu/N4tFovd/dOpU6e0du3a2z5menp6pkdZeXt7y9/f33Y/1bBhQ3l7eysqKspuyvavvvpKR44cKZDfBQBIjBQHAABAEdC+fXs9+OCD+u9//6tTp06pXr162rhxoz799FMNHz7cNgogK6NGjdK6dev0yCOPqE+fPgoODlZqaqoOHTqklStX6tSpU6pQoYIefPBBPfnkk5o9e7aOHTum1q1by2q16ptvvtGDDz6oIUOGSJKCg4O1efNmzZgxQ/7+/goMDMzyWduS9NFHH2nx4sXq3LmzgoODVaJECR05ckTz58+Xq6urXnrppWxz9+3bV9KN5w1+/PHHduuaNm2qypUr5/jcbva7+f777zV9+nRt3bpVjz76qHx9fZWQkKC1a9dq9+7d2rlzpyTpxRdf1CeffKI2bdpo6NCh8vT01IcffqiTJ09q1apV+TrlvXTj2X/h4eEaOnSoXFxc9O6770qS3ZcWHnnkEX300Ufy8PBQrVq1bNPM//3Z5Ln14Ycf6t1331Xnzp1VpUoVXbp0Se+9957KlClj+0NWXq5HAAAAOIaqVatqyZIl6t69u6pXr66ePXuqXr16MgxDJ0+e1JIlS+Tk5JTpEUi59fHHH6t169bq1KmT2rRpo7CwMJUrV04JCQnavHmztm/fnuMvZf7++++Z7i0kyd3dPd8eqdSrVy8tWrRIkZGR2r17t5o3b67U1FRt3rxZgwcPVseOHbPc7vXXX9fWrVsVEhKiAQMGqFatWkpKStL+/fu1efNmJSUl5SqHk5OT5s6dq/bt26t+/frq27ev/Pz89OOPP+r777/P9MXiXr16aeTIkZJ0y6nTM1SpUkVLlizR448/rpo1a6pXr16qXbu2rl69qp07d2rFihXq06ePJKlevXrq3bu35s2bp+TkZIWGhmr37t368MMP1alTJz344IO5Or9bcXV11fr169W7d2+FhIToq6++0hdffKGXXnrJNvNWu3btNGPGDLVu3Vo9evTQmTNnNGfOHAUFBengwYO3ddxLly7p7rvv1qOPPqp69erJ3d1dmzdv1p49e2wzfBUvXlxvvPGG+vbtq9DQUHXv3l2JiYmaNWuWAgIC9Pzzz+fb7wEA/o6iOAAAAAo9JycnrVu3TuPGjdOyZcu0YMECBQQE6M0339SIESNuum3JkiW1bds2vfbaa1qxYoUWLVqkMmXKqFq1apowYYI8PDxsfRcsWKC6devqgw8+0KhRo+Th4aGGDRuqadOmtj4zZszQwIEDNXbsWF2+fNn2R4asPP300ypZsqSio6P16aef6uLFi/Ly8tLDDz+sMWPGqEGDBtnmPnv2rFJTUzVw4MBM6xYsWKDKlSvn6tyy+70uWrRIHTt21Lx58zRt2jRbxgceeEBTp061TQPo4+OjnTt3avTo0Xr77bd15coV1a1bV5999lmBfJM/NDRUTZo00YQJExQfH69atWpp4cKFds8SnDVrlpydnbV48WJduXJF999/vzZv3pyjqQ5vdtzdu3dr6dKlSkxMlIeHhxo1aqTFixcrMDBQUt6uRwAAADiOjh076tChQ5o+fbo2btyo+fPny2KxqFKlSmrXrp2eeeYZ1atXL0/H8Pb21s6dO/W///1Py5Yt04QJE/TXX3+pQoUKatiwoRYvXqzHH388R/uKi4vTk08+mam9UqVK+VYUd3Z21pdffml7DNGqVatUvnx5NWvWTHXq1Ml2Ox8fH+3evVsTJ07U6tWr9e6776p8+fK699579cYbb9xWlvDwcG3dulUTJkzQ9OnTZbVaVaVKFQ0YMCBT3549e2r06NGqUqVKrqbD79Chgw4ePKg333xTn376qebOnSsXFxfVrVtX06dPtzvW+++/r8qVK2vhwoVas2aNfH19NWbMGI0fP/62zu9mnJ2dtX79eg0aNEijRo1S6dKlNX78eI0bN87Wp2XLlvrggw/0+uuva/jw4QoMDNQbb7yhU6dO3XZRvGTJkho8eLA2btyo1atXy2q1KigoSO+++64GDRpk69enTx+VLFlSr7/+ukaPHq1SpUqpc+fOeuONN1S2bNm8nj4AZMliFLb5VQAAAIA8qFixosLDw/X++++bHQW3yWKx6Nlnn81yykUAAAAAyG/nzp2Tn5+fxo0bp5dfftnsOHnSp08frVy5UikpKWZHAYBChWeKAwAAwGFcu3ZN58+fv+mU4QAAAAAA/N3ChQuVnp6e5Uh6AIBjYPp0AAAAOIQNGzZo6dKlunz5slq1amV2HAAAAABAIbdlyxb98MMPmjx5sjp16qSAgACzIwEACghFcQAAADiE119/XcePH9fkyZP10EMPmR0HAAAAAFDITZw4UTt37tT999+vt99+2+w4AIACxDPFAQAAAAAAAAAAAAAOi2eKAwAAAAAAAAAAAAAcFtOnAwBu6ty5c9qwYYMCAgLk5uZmdhwAAAAAki5fvqxTp04pPDxcFSpUMDvOvwL3RgAAAEDhk9N7I4riAICb2rBhg5544gmzYwAAAADIwscff6yePXuaHeNfgXsjAAAAoPC61b0RRXEAwE0FBARIuvEflJo1a5obBigAVqtVSUlJ8vT0lJMTT5YBAEfCezwc2ZEjR/TEE0/YPq+j4HFvBEfHfzcBwDHx/g5Hl9N7I4riAICbypgWsGbNmrrvvvtMTgPkP6vVqjNnzsjb25sbAwBwMLzH49+AabzvHO6N4Oj47yYAOCbe3/Fvcat7I65+AAAAAAAAAAAAAIDDoigOAAAAAAAAAAAAAHBYFMUBAAAAAAAAAAAAAA6LojgAAAAAAAAAAAAAwGFRFAcAAAAAAAAAAAAAOCyK4gAAAAAAAAAAAAAAh0VRHAAAAAAAAAAAAADgsCiKAwAAAAAAAAAAAAAcFkVxAAAAAAAAAAAAAIDDoigOAAAAAAAAAAAAAHBYFMUBAAAAAAAAAAAAAA6LojgAAAAAAAAAAAAAwGFRFAcAAAAAAAAAAAAAOCyK4gAAAAAAAAAAAAAAh0VRHAAAAAAAAAAAAADgsCiKAwAAAAAAAAAAAAAcFkVxAAAAAAAAAAAAAIDDoigOAAAAAAAAAAAAAHBYFMUBAAAAAAAAAAAAAA6LojgAAAAAAAAAAAAAwGFRFAcAAAAAAAAAAAAAOCyK4gAAAAAAAAAAAAAAh1XM7AAAAAAAYLFMMzsCHJCTkxQcXEr79qXKajU7DRyJYYw0OwL+5VYfPW12BDgiw5BSkqVkq2SxmJ0GDqRLdT+zIwAAwEhxAAAAAAAAAAAAAIDjoigOAAAAAAAAAAAAAHBYFMUBAAAAAAAAAAAAAA6LojgAAAAAAAAAAAAAwGFRFAcAAAAAAAAAAAAAOCyK4gAAAAAAAAAAAAAAh0VRHAAAAAAAAAAAAADgsCiKAwAAAAAAAAAAAAAcFkVxAAAAAAAAAAAAAIDDoigOAAAAAAAAAAAAAHBYFMUBAAAAAAAAAAAAAA6LojgAAAAAAAAAAAAAwGFRFAcAAAAAAAAAAAAAOCyK4gAAAAAAAAAAAAAAh0VRHAAAAAAAAAAAAADgsCiKAwAAAAAAAAAAAAAcFkVxAAAAAAAAAAAAAIDDoigOAAAAAAAAAAAAAHBYFMUBoJCYMmWK/vOf/6h06dLy9vZWp06ddPToUbs+V65c0bPPPqvy5cvL3d1dXbt2VWJi4k33axiGxo0bJz8/P7m5uSksLEzHjh0ryFMBAAAAAAAAAAAoNCiKA0AhsW3bNj377LPatWuXNm3apGvXrunhhx9Wamqqrc/zzz+vzz77TCtWrNC2bdv0xx9/qEuXLjfd79SpUzV79mxFRUUpNjZWpUqVUnh4uK5cuVLQpwQAAAAAAAAAAGC6YmYHAADcsH79ervlhQsXytvbW/v27dMDDzygCxcu6IMPPtCSJUvUsmVLSdKCBQtUs2ZN7dq1S40bN860T8MwNHPmTI0dO1YdO3aUJC1atEg+Pj5au3atIiIiCv7EAAAAAAAAAAAATERRHAAKqQsXLkiSPD09JUn79u3TtWvXFBYWZutTo0YN3XPPPYqJicmyKH7y5EklJCTYbePh4aGQkBDFxMRkWRRPS0tTWlqabTklJUWSZLVaZbVa8+fkgELEarXKMAyub8BkTsxhhQLg5CRZLFxfyH+F4XNDYcgAAAAAAEUFRXEAKISsVquGDx+u+++/X7Vr15YkJSQkqESJEipbtqxdXx8fHyUkJGS5n4x2Hx+fHG8zZcoUTZgwIVN7UlKSzpw5k9tTAQo9q9WqCxcuyDAMOVE1AUwTHFzK7AhwQBaLFBTkIkkyDJPDwKEUhs/FSUlJZkcAAAAAgCKDojgAFELPPvusDh8+rB07dtzxY48ZM0aRkZG25bi4OIWGhsrT01Pe3t53PA9Q0KxWqywWi7y8vCiKAybaty/V7AhwQBlv6/v3p4pBtchPheFzccaMUgAAAACAW6MoDgCFzJAhQ/T5559r+/btuvvuu23tvr6+unr1qpKTk+1GiycmJsrX1zfLfWW0JyYmys/Pz26b+vXrZ7mNi4uLXFxcbMvu7u6SJCcnJwqGcFgWi4VrHDAZBUsUFMO4cX1xjSE/FYbPDIUhAwAAAAAUFdxBAUAhYRiGhgwZojVr1mjLli0KDAy0Wx8cHKzixYsrOjra1nb06FHFx8erSZMmWe4zMDBQvr6+dttcvHhRsbGx2W4DAAAAAAAAAADgSCiKA0Ah8eyzz+rjjz/WkiVLVLp0aSUkJCghIUGXL1+WJHl4eKh///6KjIzU1q1btW/fPvXt21dNmjRR48aNbfupUaOG1qxZI+nG6Nfhw4dr0qRJWrdunQ4dOqRevXrJ399fnTp1MuM0AQAAAAAAAAAA7iimTweAQmLu3LmSpBYtWti1L1iwQH369JEkvfXWW3JyclLXrl2Vlpam8PBwvfvuu3b9jx49qgsXLtiWX3jhBaWmpmrgwIFKTk5Ws2bNtH79erm6uhbo+QAAAAAAAAAAABQGFMUBoJAwDOOWfVxdXTVnzhzNmTMnx/uxWCyaOHGiJk6cmOeMAAAAAAAAAAAARQ3TpwMAAAAAAAAAAAAAHBZFcQAAAAAAAAAAAACAw6IoDgAAAAAAAAAAAABwWBTFAQAAAAAAAAAAAAAOi6I4AAAAAAAAAAAAAMBhURQHAAAAAAAAAAAAADgsiuIAAAAAAAAAAAAAAIdFURwAAAAAAAAAAAAA4LAoigMAAAAAAAAAAAAAHBZFcQAAAAAAAAAAAACAw6IoDgAAAAAAAAAAAABwWBTFAQAAAAAAAAAAAAAOi6I4AAAAAAAAAAAAAMBhURQHAAAAAAAAAAAAADgsiuIAAAAAAAAAAAAAAIdFURwAAAAAAAAAAAAA4LAoigMAAAAAAAAAAAAAHBZFcQAAAAAAAAAAAACAw6IoDgAAAAAAAAAAAABwWBTFAQAAAAAAkG/mzJmjgIAAubq6KiQkRLt3775p/xUrVqhGjRpydXVVnTp19OWXX9qtNwxD48aNk5+fn9zc3BQWFqZjx47Z9UlKSlLPnj1VpkwZlS1bVv3791dKSopdnw0bNqhx48YqXbq0vLy81LVrV506dSpfzhkAAABA4UZRHAAAAAAAAPli2bJlioyM1Pjx47V//37Vq1dP4eHhOnPmTJb9d+7cqe7du6t///46cOCAOnXqpE6dOunw4cO2PlOnTtXs2bMVFRWl2NhYlSpVSuHh4bpy5YqtT8+ePfX9999r06ZN+vzzz7V9+3YNHDjQtv7kyZPq2LGjWrZsqbi4OG3YsEHnzp1Tly5dCu6XAQAAAKDQKGZ2AAAAAAAAADiGGTNmaMCAAerbt68kKSoqSl988YXmz5+vF198MVP/WbNmqXXr1ho1apQk6dVXX9WmTZv0zjvvKCoqSoZhaObMmRo7dqw6duwoSVq0aJF8fHy0du1aRURE6MiRI1q/fr327Nmjhg0bSpLefvtttW3bVtOmTZO/v7/27dun9PR0TZo0SU5ON8aIjBw5Uh07dtS1a9dUvHjxTNnS0tKUlpZmW84YeW61WmW1WvPxt3YbDMPc48MxGcb/vYB8ZPp7JvAvZ7VaZRgG/1+Ew8rptU1RHAAAAAAAAHl29epV7du3T2PGjLG1OTk5KSwsTDExMVluExMTo8jISLu28PBwrV27VtKNEd4JCQkKCwuzrffw8FBISIhiYmIUERGhmJgYlS1b1lYQl6SwsDA5OTkpNjZWnTt3VnBwsJycnLRgwQL16dNHKSkp+uijjxQWFpZlQVySpkyZogkTJmRqT0pKynbk+x2Tkmzu8eG4rqRKFovZKeBgzpxhwlrATFarVRcuXJBhGLYvBwKOJCkpKUf9KIoDAAAAAAAgz86dO6f09HT5+PjYtfv4+OjHH3/McpuEhIQs+yckJNjWZ7TdrI+3t7fd+mLFisnT09PWJzAwUBs3blS3bt309NNPKz09XU2aNMn0/PK/GzNmjF3BPi4uTqGhofL09Mx0vDsumZFeKAAZo8RLeVAYR74y/T0T+JezWq2yWCzy8vKiKA6H5OnpmaN+FMUBAAAAAADg0BISEjRgwAD17t1b3bt316VLlzRu3Dg9+uij2rRpkyxZFABdXFzk4uJiW3Z3d5d0Y/S76X9QpmCJgmKx/N8LyCemv2cCkMViKRyfYYACkNPrmqI4AAAAAAAA8qxChQpydnZWYmKiXXtiYqJ8fX2z3MbX1/em/TP+NzExUX5+fnZ96tevb+vzz+nMr1+/rqSkJNv2c+bMkYeHh6ZOnWrr8/HHH6tixYqKjY1V48aNb+OMAQAAABQVfCUEAAAAAAAAeVaiRAkFBwcrOjra1ma1WhUdHa0mTZpkuU2TJk3s+kvSpk2bbP0DAwPl6+tr1+fixYuKjY219WnSpImSk5O1b98+W58tW7bIarUqJCREkvTXX39lGkHi7OxsywgAAADAsVEUBwAAAAAAQL6IjIzUe++9pw8//FBHjhzRoEGDlJqaqr59+0qSevXqpTFjxtj6Dxs2TOvXr9f06dP1448/6pVXXtHevXs1ZMgQSTem+hw+fLgmTZqkdevW6dChQ+rVq5f8/f3VqVMnSVLNmjXVunVrDRgwQLt379a3336rIUOGKCIiQv7+/pKkdu3aac+ePZo4caKOHTum/fv3q2/fvqpUqZIaNGhwZ39JAAAAAO44pk8HAAAAAABAvnj88cd19uxZjRs3TgkJCapfv77Wr18vHx8fSVJ8fLzdiO2mTZtqyZIlGjt2rF566SVVrVpVa9euVe3atW19XnjhBaWmpmrgwIFKTk5Ws2bNtH79erm6utr6LF68WEOGDFGrVq3k5OSkrl27avbs2bb1LVu21JIlSzR16lRNnTpVJUuWVJMmTbR+/Xq5ubndgd8MAAAAADNRFAcAAAAAAEC+GTJkiG2k9z99/fXXmdoee+wxPfbYY9nuz2KxaOLEiZo4cWK2fTw9PbVkyZKb5oqIiFBERMRN+wAAAABwTEyfDgAAAAAAAAAAAABwWBTFAQAAAAAAAAAAAAAOi6I4AAAAAAAAAAAAAMBhURQHAAAAAAAAAAAAADgsiuIAAAAAAAAAAAAAAIdFURwAAAAAAAAAAAAA4LAoigMAAAAAAAAAAAAAHBZFcQAAAAAAAAAAAACAw6IoDgAAAAAAAAAAAABwWBTFAQAAAAAAAAAAAAAOi6I4AAAAAAAAAAAAAMBhURQHAAAAAAAAAAAAADgsiuIAAAAAAAAAAAAAAIdFURwAAAAAAAAAAAAA4LAoigMAAAAAAAAAAAAAHBZFcQAAAAAAAAAAAACAw6IoDgAAAAAAAAAAAABwWBTFAQAAAAAAAAAAAAAOi6I4AAAAAAAAAAAAAMBhURQHgEJi+/btat++vfz9/WWxWLR27Vq79RaLJcvXm2++me0+X3nllUz9a9SoUcBnAgAAAAAAAAAAUHhQFAeAQiI1NVX16tXTnDlzslx/+vRpu9f8+fNlsVjUtWvXm+733nvvtdtux44dBREfAAAAAAAAAACgUCpmdgAAwA1t2rRRmzZtsl3v6+trt/zpp5/qwQcfVOXKlW+632LFimXa9mbS0tKUlpZmW05JSZEkWa1WWa3WHO8HKCqsVqsMw+D6BkzmxNd1UQCcnCSLhesL+a8wfG4oDBkAAAAAoKigKA4ARVBiYqK++OILffjhh7fse+zYMfn7+8vV1VVNmjTRlClTdM8992Tbf8qUKZowYUKm9qSkJJ05cyZPuYHCyGq16sKFCzIMQ05UTQDTBAeXMjsCHJDFIgUFuUiSDMPkMHAoheFzcVJSktkRAAAAAKDIoCgOAEXQhx9+qNKlS6tLly437RcSEqKFCxeqevXqOn36tCZMmKDmzZvr8OHDKl26dJbbjBkzRpGRkbbluLg4hYaGytPTU97e3vl6HkBhYLVaZbFY5OXlRVEcMNG+falmR4ADynhb378/VQyqRX4qDJ+LPT09zY4AAAAAAEUGRXEAKILmz5+vnj17ytXV9ab9/j4de926dRUSEqJKlSpp+fLl6t+/f5bbuLi4yMXFxbbs7u4uSXJycqJgCIdlsVi4xgGTUbBEQTGMG9cX1xjyU2H4zFAYMgAAAABAUUFRHACKmG+++UZHjx7VsmXLcr1t2bJlVa1aNR0/frwAkgEAAAAAAAAAABQ+fK0YAIqYDz74QMHBwapXr16ut01JSdGJEyfk5+dXAMkAAAAAAAAAAAAKH4riAFBIpKSkKC4uTnFxcZKkkydPKi4uTvHx8bY+Fy9e1IoVK/TUU09luY9WrVrpnXfesS2PHDlS27Zt06lTp7Rz50517txZzs7O6t69e4GeCwAAAAAAAAAAQGHB9OkAUEjs3btXDz74oG05MjJSktS7d28tXLhQkrR06VIZhpFtUfvEiRM6d+6cbfm3335T9+7ddf78eXl5ealZs2batWuXvLy8Cu5EAAAAAAAAAAAAChGK4gBQSLRo0UKGYdy0z8CBAzVw4MBs1586dcpueenSpfkRDQAAAAAAAAAAoMhi+nQAAAAAAAAAAAAAgMOiKA4AAAAAAAAAAAAAcFgUxQEAAAAAAAAAAAAADouiOAAAAAAAAAAAAADAYVEUBwAAAAAAAAAAAAA4LIriAAAAAAAAAAAAAACHRVEcAAAAAAAAAAAAAOCwKIoDAAAAAAAAAAAAABwWRXEAAAAAAAAAAAAAgMOiKA4AAAAAAAAAAAAAcFgUxQEAAAAAAAAAAAAADouiOAAAAAAAAAAAAADAYVEUBwAAAAAAAAAAAAA4LIriAAAAAAAAAAAAAACHRVEcAAAAAAAAAAAAAOCwKIoDAAAAAAAAAAAAABwWRXEAAAAAAAAAAAAAgMOiKA4AAAAAAAAAAAAAcFgUxQEAAAAAAAAAAAAADouiOAAAAAAAAAAAAADAYVEUBwAAAAAAAAAAAAA4LIriAAAAAAAAAAAAAACHRVEcAAAAAAAAAAAAAOCwKIoDAAAAAAAAAAAAABwWRXEAAAAAAAAAAAAAgMOiKA4AAAAAAAAAAAAAcFgUxQEAAAAAAAAAAAAADouiOAAAAAAAAAAAAADAYVEUBwAAAAAAAAAAAAA4LIriAAAAAAAAAAAAAACHRVEcAAAAAAAAAAAAAOCwKIoDAAAAAAAAAAAAABwWRXEAAAAAAAAAAAAAgMOiKA4AAAAAAAAAAAAAcFgUxQEAAAAAAAAAAAAADouiOAAAAAAAAAAAAADAYVEUBwAAAAAAAAAAAAA4rGJmBwCAoiwtLU2xsbH65Zdf9Ndff8nLy0sNGjRQYGCg2dEAAAAAAAAAAAAgiuIAcFu+/fZbzZo1S5999pmuXbsmDw8Pubm5KSkpSWlpaapcubIGDhyoZ555RqVLlzY7LgAAAAAAAAAAwL8W06cDQC516NBBjz/+uAICArRx40ZdunRJ58+f12+//aa//vpLx44d09ixYxUdHa1q1app06ZNZkcGAAAAAAAAAAD412KkOADkUrt27bRq1SoVL148y/WVK1dW5cqV1bt3b/3www86ffr0HU4IAAAAAAAAAACADBTFASCXnn766Rz3rVWrlmrVqlWAaQAAAAAAAAAAAHAzTJ8OAPksPT3d7AgAAAAAAAAAAAD4/yiKA8Bt+uabb+yeF37mzBk1a9ZMLi4uCg4O1rFjx0xMBwAAAAAAAAAAAImiOADctnHjxunUqVO25fHjx+vq1atau3at/P39NWzYMPPCAQAAAAAAAAAAQBLPFAeA23b06FEFBwfbltetW6fFixerRYsWqlevnurVq2diOgAAAAAAAAAAAEgUxQEg1/r27StJSkpK0muvvabSpUvr/PnzOnfunBYtWqRFixbJarXq0qVL6tevnyRp/vz5ZkYGAAAAAAAAAAD416IoDgC5tGDBAknS3r171apVKw0aNEhTp07VhQsXbMXv3377TRs2bKAYDgAAAAAAAAAAYDKeKQ4At2nQoEF67rnnVL16df33v//VyJEjbes2btyoRo0a5Wp/27dvV/v27eXv7y+LxaK1a9fare/Tp48sFovdq3Xr1rfc75w5cxQQECBXV1eFhIRo9+7ducoFAAAAAAAAAABQlDFSHABu0+DBg1WjRg0dOHBATZo0UdOmTW3rSpQooTFjxuRqf6mpqapXr5769eunLl26ZNmndevWtpHqkuTi4nLTfS5btkyRkZGKiopSSEiIZs6cqfDwcB09elTe3t65ygcAAAAAAAAAAFAUURQHgDxo2bKlWrZsman9iSeeyPW+2rRpozZt2ty0j4uLi3x9fXO8zxkzZmjAgAG256BHRUXpiy++0Pz58/Xiiy9muU1aWprS0tJsyykpKZIkq9Uqq9Wa42MDRYXVapVhGFzfgMmcmMMKBcDJSbJYuL6Q/wrD54bCkAEAAAAAigqK4gBQhHz99dfy9vZWuXLl1LJlS02aNEnly5fPsu/Vq1e1b98+uxHrTk5OCgsLU0xMTLbHmDJliiZMmJCpPSkpSWfOnMn7SQCFjNVq1YULF2QYhpyomgCmCQ4uZXYEOCCLRQoKujGzjmGYHAYOpTB8Lk5KSjI7AgAAAAAUGRTFAaCIaN26tbp06aLAwECdOHFCL730ktq0aaOYmBg5Oztn6n/u3Dmlp6fLx8fHrt3Hx0c//vhjtscZM2aMIiMjbctxcXEKDQ2Vp6cnU67DIVmtVlksFnl5eVEUB0y0b1+q2RHggDLe1vfvTxWDapGfCsPnYk9PT7MjAAAAAECRQVEcAIqIiIgI28916tRR3bp1VaVKFX399ddq1apVvh3HxcXF7lnl7u7ukm6MMqdgCEdlsVi4xgGTUbBEQTGMG9cX1xjyU2H4zFAYMgAAAABAUcEdFAAUUZUrV1aFChV0/PjxLNdXqFBBzs7OSkxMtGtPTEzM1XPJAQAAAAAAAAAAijKK4gCQjy5evKi1a9fqyJEjBX6s3377TefPn5efn1+W60uUKKHg4GBFR0fb2qxWq6Kjo9WkSZMCzwcAAAAAAAAAAFAYUBQHgDzo1q2b3nnnHUnS5cuX1bBhQ3Xr1k1169bVqlWrcrWvlJQUxcXFKS4uTpJ08uRJxcXFKT4+XikpKRo1apR27dqlU6dOKTo6Wh07dlRQUJDCw8Nt+2jVqpUtjyRFRkbqvffe04cffqgjR45o0KBBSk1NVd++ffN+8gAAAAAAAAAAAEUARXEAyIPt27erefPmkqQ1a9bIMAwlJydr9uzZmjRpUq72tXfvXjVo0EANGjSQdKOg3aBBA40bN07Ozs46ePCgOnTooGrVqql///4KDg7WN998Y/f87xMnTujcuXO25ccff1zTpk3TuHHjVL9+fcXFxWn9+vXy8fHJh7MHAAAAAAAAAAAo/IqZHQAAirILFy7I09NTkrR+/Xp17dpVJUuWVLt27TRq1Khc7atFixYyDCPb9Rs2bLjlPk6dOpWpbciQIRoyZEiusgAAAAAAAAAAADgKRooDQB5UrFhRMTExSk1N1fr16/Xwww9Lkv7880+5urqanA4AAAAAsnft2jVVqVJFR44cMTsKAAAAABQoRooDQB4MHz5cPXv2lLu7uypVqqQWLVpIujGtep06dcwNBwAAAAA3Ubx4cV25csXsGAAAAABQ4BgpDgB5MHjwYMXExGj+/PnasWOHnJxuvK1Wrlw5188UBwAAAIA77dlnn9Ubb7yh69evmx0FAAAAAAoMI8UBII8aNmyohg0b2rW1a9fOpDQAAAAAkHN79uxRdHS0Nm7cqDp16qhUqVJ261evXm1SMgAAAADIPxTFASAP0tPTtXDhQkVHR+vMmTOyWq1267ds2WJSMgAAAAC4tbJly6pr165mxwAAAACAAkVRHADyYNiwYVq4cKHatWun2rVry2KxmB0JAAAAAHJswYIFZkcAAAAAgAJHURwA8mDp0qVavny52rZta3YUAAAAAAAAAAAAZIGiOADkQYkSJRQUFGR2DAAAAAC4bStXrtTy5csVHx+vq1ev2q3bv3+/SakAAAAAIP84mR0AAIqyESNGaNasWTIMw+woAAAAAJBrs2fPVt++feXj46MDBw6oUaNGKl++vH7++We1adPG7HgAAAAAkC8YKQ4AebBjxw5t3bpVX331le69914VL17cbv3q1atNSgYAAAAAt/buu+9q3rx56t69uxYuXKgXXnhBlStX1rhx45SUlGR2PAAAAADIFxTFASAPypYtq86dO5sdAwAAAABuS3x8vJo2bSpJcnNz06VLlyRJTz75pBo3bqx33nnHzHgAAAAAkC+YPh0A8mDBggU3fQEAAABAYebr62sbEX7PPfdo165dkqSTJ0/e9mOi5syZo4CAALm6uiokJES7d+++af8VK1aoRo0acnV1VZ06dfTll1/arTcMQ+PGjZOfn5/c3NwUFhamY8eO2fVJSkpSz549VaZMGZUtW1b9+/dXSkpKpv1MmzZN1apVk4uLi+666y5Nnjz5ts4RAAAAQNFCURwA8sHZs2e1Y8cO7dixQ2fPnjU7DgAAAADkSMuWLbVu3TpJUt++ffX888/roYce0uOPP35bs2ItW7ZMkZGRGj9+vPbv36969eopPDxcZ86cybL/zp071b17d/Xv318HDhxQp06d1KlTJx0+fNjWZ+rUqZo9e7aioqIUGxurUqVKKTw8XFeuXLH16dmzp77//ntt2rRJn3/+ubZv366BAwfaHWvYsGF6//33NW3aNP34449at26dGjVqlOtzBAAAAFD0MH06AORBamqqnnvuOS1atEhWq1WS5OzsrF69euntt99WyZIlTU4IAAAAANmbN2+e7V7m2WefVfny5bVz50516NBBTz/9dK73N2PGDA0YMEB9+/aVJEVFRemLL77Q/Pnz9eKLL2bqP2vWLLVu3VqjRo2SJL366qvatGmT3nnnHUVFRckwDM2cOVNjx45Vx44dJUmLFi2Sj4+P1q5dq4iICB05ckTr16/Xnj171LBhQ0nS22+/rbZt22ratGny9/fXkSNHNHfuXB0+fFjVq1eXJAUGBub+FwYAAACgSKIoDgB5EBkZqW3btumzzz7T/fffL0nasWOHhg4dqhEjRmju3LkmJwQAAACA7Dk5OcnJ6f8mEoyIiFBERMRt7evq1avat2+fxowZY7f/sLAwxcTEZLlNTEyMIiMj7drCw8O1du1aSTemcU9ISFBYWJhtvYeHh0JCQhQTE6OIiAjFxMSobNmytoK4JIWFhcnJyUmxsbHq3LmzPvvsM1WuXFmff/65WrduLcMwFBYWpqlTp8rT0zPLbGlpaUpLS7MtZ0zHbrVabV8kMM1tTm0P3JRh/N8LyEemv2cC/3JWq1WGYfD/RTisnF7bFMUBIA9WrVqllStXqkWLFra2tm3bys3NTd26daMoDgAAAKDQOXjwYI771q1bN8d9z507p/T0dPn4+Ni1+/j46Mcff8xym4SEhCz7JyQk2NZntN2sj7e3t936YsWKydPT09bn559/1i+//KIVK1Zo0aJFSk9P1/PPP69HH31UW7ZsyTLblClTNGHChEztSUlJ2U4Hf8ekJJt7fDiuK6mSxWJ2CjiYM2d4iitgJqvVqgsXLsgwDLsvQwKOIikpKUf9KIoDQB789ddfmf44I0ne3t7666+/TEgEAAAAADdXv359WSwWGbcYDWqxWJSenn6HUhUsq9WqtLQ0LVq0SNWqVZMkffDBBwoODtbRo0dtU6r/3ZgxY+xGscfFxSk0NFSenp6ZivB3XDIjvVAAMkaJl/KgMI58Zfp7JvAvZ7VaZbFY5OXlRVEcDim7mZ/+iaI4AORBkyZNNH78eC1atEiurq6SpMuXL2vChAlq0qSJyekAAAAAILOTJ08WyH4rVKggZ2dnJSYm2rUnJibK19c3y218fX1v2j/jfxMTE+Xn52fXp379+rY+/xy5ff36dSUlJdm29/PzU7FixWwFcUmqWbOmJCk+Pj7LoriLi4tcXFxsy+7u7pIyTzlvCgqWKCgWy/+9gHxi+nsmAFkslsLxGQYoADm9rimKA0AezJo1S+Hh4br77rtVr149SdJ3330nV1dXbdiwweR0AAAAAJBZpUqVCmS/JUqUUHBwsKKjo9WpUydJN0YmRUdHa8iQIVlu06RJE0VHR2v48OG2tk2bNtm+ZBwYGChfX19FR0fbiuAXL15UbGysBg0aZNtHcnKy9u3bp+DgYEnSli1bZLVaFRISIkm6//77df36dZ04cUJVqlSRJP3000+SCu73AQAAAKDwoCgOAHlQu3ZtHTt2TIsXL7Y9I6979+7q2bOn3NzcTE4HAAAAAJmtW7cux307dOiQq31HRkaqd+/eatiwoRo1aqSZM2cqNTVVffv2lST16tVLd911l6ZMmSJJGjZsmEJDQzV9+nS1a9dOS5cu1d69ezVv3jxJN0Y1DR8+XJMmTVLVqlUVGBiol19+Wf7+/rbCe82aNdW6dWsNGDBAUVFRunbtmoYMGaKIiAj5+/tLksLCwnTfffepX79+mjlzpqxWq5599lk99NBDdqPHAQAAADgmiuIAkEclS5bUgAEDzI4BAAAAADmSUUy+ldt5pvjjjz+us2fPaty4cUpISFD9+vW1fv16+fj4SLoxVfnfpzds2rSplixZorFjx+qll15S1apVtXbtWtWuXdvW54UXXlBqaqoGDhyo5ORkNWvWTOvXr7c9wkqSFi9erCFDhqhVq1ZycnJS165dNXv2bNt6JycnffbZZ3ruuef0wAMPqFSpUmrTpo2mT5+eq/MDAAAAUDRRFAeAXFq3bp3atGmj4sWL33KERW5HVQAAAABAQbNarQW6/yFDhmQ7XfrXX3+dqe2xxx7TY489lu3+LBaLJk6cqIkTJ2bbx9PTU0uWLLlpLn9/f61ateqmfQAAAAA4JoriAJBLnTp1UkJCgry9vW86wuJ2RlUAAAAAAAAAAAAgfzndugsA4O+sVqu8vb1tP2f3oiAOAAAAoCjYtm2b2rdvr6CgIAUFBalDhw765ptvzI4FAAAAAPmGojgAAAAAAMC/1Mcff6ywsDCVLFlSQ4cO1dChQ+Xm5qZWrVrdcjpyAAAAACgqmD4dAHJp9uzZOe47dOjQAkwCAAAAAHkzefJkTZ06Vc8//7ytbejQoZoxY4ZeffVV9ejRw8R0AAAAAJA/KIoDQC699dZbOepnsVgoigMAAAAo1H7++We1b98+U3uHDh300ksvmZAIAAAAAPIfRXEAyKWTJ0+aHQEAAAAA8kXFihUVHR2toKAgu/bNmzerYsWKJqUCAAAAgPxFURwAAAAAAOBfasSIERo6dKji4uLUtGlTSdK3336rhQsXatasWSanAwAAAID8QVEcAHIpMjIyx31nzJhRgEkAAAAAIG8GDRokX19fTZ8+XcuXL5ck1axZU8uWLVPHjh1NTgcAAAAA+YOiOADk0oEDB3LUz2KxFHASAAAAAMi7zp07q3PnzmbHAAAAAIACQ1EcAHJp69atZkcAAAAAgHxhGIb27dunU6dOyWKxqHLlyqpfvz5f8gUAAADgUCiKAwAAAAAA/Att3bpV/fv31y+//CLDMCTdmPEqMDBQ8+fP1wMPPGByQgAAAADIHxTFASCXunTpooULF6pMmTLq0qXLTfuuXr36DqUCAAAAgJw7fvy4HnnkEYWEhOitt95SjRo1ZBiGfvjhB82ePVtt27bVwYMHVblyZbOjAgAAAECeURQHgFzy8PCwTSXo4eFhchoAAAAAyL2ZM2eqcePGio6OtmuvUaOGOnfurLCwML311lt6++23TUoIAAAAAPmHojgA5NKCBQuy/BkAAAAAioqvv/5aU6ZMyXKdxWLR8OHDNWbMmDucCgAAAAAKhpPZAQAAAAAAAHBnxcfHq06dOtmur127tn755Zc7mAgAAAAACg4jxQHgNrRs2TJH/bZs2VLASQAAAAAg91JSUlSyZMls15csWVJ//fXXHUwEAAAAAAWHojgA3Iavv/5alSpVUrt27VS8eHGz4wAAAABArv3www9KSEjIct25c+fucBoAAAAAKDgUxQHgNrzxxhtasGCBVqxYoZ49e6pfv36qXbu22bEAAAAAIMdatWolwzAytVssFhmGIYvFYkIqAAAAAMh/FMUB4DaMGjVKo0aNUkxMjObPn6/7779f1atXV79+/dSjRw+VKVPG7IgAAAAAkK2TJ0+aHQEAAAAA7hiK4gCQB02aNFGTJk00a9YsrVixQnPmzNHIkSP1xx9/UBgHAAAAUGhVqlTJ7AgAAAAAcMc4mR0AABzB/v37tW3bNh05ckS1a9fmOeMAAAAAAAAAAACFBEVxALhNf/zxh1577TVVq1ZNjz76qDw9PRUbG6tdu3bJzc3N7HgAAAAAAAAAAAAQ06cDwG1p27attm7dqocfflhvvvmm2rVrp2LFeEsFAAAAAAAAAAAobKjgAMBtWL9+vfz8/BQfH68JEyZowoQJWfbbv3//HU4GAAAAADljGIZ+/fVXeXt7y9XV1ew4AAAAAFBgKIoDwG0YP3682REAAAAAIE8Mw1BQUJC+//57Va1a1ew4AAAAAFBgKIoDwG2gKA4AAACgqHNyclLVqlV1/vx5iuIAAAAAHJqT2QEAADds375d7du3l7+/vywWi9auXWtbd+3aNY0ePVp16tRRqVKl5O/vr169eumPP/646T5feeUVWSwWu1eNGjUK+EwAAAAAFBWvv/66Ro0apcOHD5sdBQAAAAAKDEVxAMil1q1ba9euXbfsd+nSJb3xxhuaM2dOjvabmpqqevXqZdn/r7/+0v79+/Xyyy9r//79Wr16tY4ePaoOHTrccr/33nuvTp8+bXvt2LEjR3kAAAAAOL5evXpp9+7dqlevntzc3OTp6Wn3AgAAAABHwPTpAJBLjz32mLp27SoPDw+1b99eDRs2lL+/v1xdXfXnn3/qhx9+0I4dO/Tll1+qXbt2evPNN3O03zZt2qhNmzZZrvPw8NCmTZvs2t555x01atRI8fHxuueee7Ldb7FixeTr65vzEwQAAADwrzFz5kyzIwAAAABAgaMoDgC51L9/fz3xxBNasWKFli1bpnnz5unChQuSJIvFolq1aik8PFx79uxRzZo1CyzHhQsXZLFYVLZs2Zv2O3bsmK1o36RJE02ZMuWmRfS0tDSlpaXZllNSUiRJVqtVVqs1X7IDhYnVapVhGFzfgMmcmMMKBcDJSbJYuL6Q/wrD54b8ytC7d+982Q8AAAAAFGYUxQHgNri4uOiJJ57QE088IelGgfry5csqX768ihcvXuDHv3LlikaPHq3u3burTJky2fYLCQnRwoULVb16dZ0+fVoTJkxQ8+bNdfjwYZUuXTrLbaZMmaIJEyZkak9KStKZM2fy7RyAwsJqterChQsyDENOVE0A0wQHlzI7AhyQxSIFBblIkgzD5DBwKIXhc3FSUlK+7evEiRNasGCBTpw4oVmzZsnb21tfffWV7rnnHt177735dhwAAAAAMAtFcQDIBx4eHvLw8Lgjx7p27Zq6desmwzA0d+7cm/b9+3TsdevWVUhIiCpVqqTly5erf//+WW4zZswYRUZG2pbj4uIUGhoqT09PeXt7589JAIWI1WqVxWKRl5cXRXHARPv2pZodAQ4o4219//5UFYKBvXAgheFzcX4973vbtm1q06aN7r//fm3fvl2TJ0+Wt7e3vvvuO33wwQdauXJlvhwHAAAAAMxEURwAipCMgvgvv/yiLVu23HSUeFbKli2ratWq6fjx49n2cXFxkYuLi23Z3d1dkuTk5ETBEA7LYrFwjQMmo2CJgmIYN64vrjHkp8LwmSG/Mrz44ouaNGmSIiMj7WaTatmypd555518OQYAAAAAmM38uzgAQI5kFMSPHTumzZs3q3z58rneR0pKik6cOCE/P78CSAgAAACgqDl06JA6d+6cqd3b21vnzp0zIREAAAAA5D+K4gBQSKSkpCguLk5xcXGSpJMnTyouLk7x8fG6du2aHn30Ue3du1eLFy9Wenq6EhISlJCQoKtXr9r20apVK7vRHCNHjtS2bdt06tQp7dy5U507d5azs7O6d+9+p08PAAAAQCFUtmxZnT59OlP7gQMHdNddd5mQCAAAAADyH9OnA0AhsXfvXj344IO25Yznevfu3VuvvPKK1q1bJ0mqX7++3XZbt25VixYtJEknTpywG83x22+/qXv37jp//ry8vLzUrFkz7dq1S15eXgV7MgAAAACKhIiICI0ePVorVqyQxWKR1WrVt99+q5EjR6pXr15mxwMAAACAfEFRHADyKDk5WStXrtSJEyc0atQoeXp6av/+/fLx8cnVyIoWLVrIMIxs199sXYZTp07ZLS9dujTHxwcAAADw7/Paa6/p2WefVcWKFZWenq5atWopPT1dPXr00NixY82OBwAAAAD5gqI4AOTBwYMHFRYWJg8PD506dUoDBgyQp6enVq9erfj4eC1atMjsiAAAAACQrRIlSui9997Tyy+/rMOHDyslJUUNGjRQ1apVzY4GAAAAAPmGojgA5EFkZKT69OmjqVOnqnTp0rb2tm3bqkePHiYmAwAAAICcu+eee1SxYkVJksViMTkNAAAAAOQvJ7MDAEBRtmfPHj399NOZ2u+66y4lJCSYkAgAAAAAcueDDz5Q7dq15erqKldXV9WuXVvvv/++2bEAAAAAIN8wUhwA8sDFxUUXL17M1P7TTz/Jy8vLhEQAAAAAkHPjxo3TjBkz9Nxzz6lJkyaSpJiYGD3//POKj4/XxIkTTU4IAAAAAHlHURwA8qBDhw6aOHGili9fLunGNIPx8fEaPXq0unbtanI6AAAAALi5uXPn6r333lP37t1tbR06dFDdunX13HPPURQHAAAA4BCYPh0A8mD69OlKSUmRt7e3Ll++rNDQUAUFBal06dKaPHmy2fEAAAAA4KauXbumhg0bZmoPDg7W9evXTUgEAAAAAPmPkeIAkAceHh7atGmTduzYoYMHDyolJUX33XefwsLCzI4GAAAAALf05JNPau7cuZoxY4Zd+7x589SzZ0+TUgEAAABA/qIoDgB5EB8fLx8fHzVr1kzNmjWztRuGoV9//VX33HOPiekAAAAA4NY++OADbdy4UY0bN5YkxcbGKj4+Xr169VJkZKSt3z8L5wAAAABQVFAUB4A8CAgIUM2aNbVu3TpVqVLF1n7mzBkFBgYqPT3dxHQAAAAAcHOHDx/WfffdJ0k6ceKEJKlChQqqUKGCDh8+bOtnsVhMyQcAAAAA+YGiOADkUc2aNdWoUSMtX75crVq1srUbhmFiKgAAAAC4ta1bt5odAQAAAAAKnJPZAQCgKLNYLHr33Xc1duxYtWvXTrNnz7ZbBwAAAAAAAAAAAHMxUhwA8iBjNPjzzz+vGjVqqHv37jp06JDGjRtncjIAAAAAAAAAAABIFMUBIN+0adNGO3fuVIcOHbR7926z4wAAAAAAAAAoYiyWaWZHgINxcpKCg0tp375UWa1mp4GjMYyRZkfIMaZPB4A8CA0NVYkSJWzLtWrVUmxsrMqWLcszxQEAAAAAAAAAAAoBRooDQB5s3bo1U1v58uW1bds2E9IAAAAAAAAAAADgnyiKA0AuXbx4UWXKlLH9fDMZ/QAAAACgsDp27Ji2bt2qM2fOyPqPOTXHjRtnUioAAAAAyD8UxQEgl8qVK6fTp0/L29tbZcuWlcViydTHMAxZLBalp6ebkBAAAAAAcua9997ToEGDVKFCBfn6+trd31gsForiAAAAABwCRXEAyKUtW7bI09NTUtbTpwMAAABAUTFp0iRNnjxZo0ePNjsKAAAAABQYiuIAkEuhoaFZ/gwAAAAARc2ff/6pxx57zOwYAAAAAFCgnMwOAABF0blz5/TLL7/YtX3//ffq27evunXrpiVLlpiUDAAAAABy7rHHHtPGjRvNjgEAAAAABYqR4gBwG5577jn5+/tr+vTpkqQzZ86oefPm8vf3V5UqVdSnTx+lp6frySefNDkpAAAAAGQvKChIL7/8snbt2qU6deqoePHiduuHDh1qUjIAAAAAyD8UxQHgNuzatUsLFy60LS9atEienp6Ki4tTsWLFNG3aNM2ZM4eiOAAAAIBCbd68eXJ3d9e2bdu0bds2u3UWi4WiOAAAAACHQFEcAG5DQkKCAgICbMtbtmxRly5dVKzYjbfVDh06aMqUKSalAwAAAICcOXnypNkRAAAAAKDA8UxxALgNZcqUUXJysm159+7dCgkJsS1bLBalpaWZkAwAAAAAbo9hGDIMw+wYAAAAAJDvKIoDwG1o3LixZs+eLavVqpUrV+rSpUtq2bKlbf1PP/2kihUrmpgQAAAAAHJm0aJFqlOnjtzc3OTm5qa6devqo48+MjsWAAAAAOQbpk8HgNvw6quvqlWrVvr44491/fp1vfTSSypXrpxt/dKlSxUaGmpiQgAAAAC4tRkzZujll1/WkCFDdP/990uSduzYoWeeeUbnzp3T888/b3JCAAAAAMg7iuIAcBvq1q2rI0eO6Ntvv5Wvr6/d1OmSFBERoVq1apmUDgAAAABy5u2339bcuXPVq1cvW1uHDh1077336pVXXqEoDgAAAMAhUBQHgNtUoUIFdezYMct17dq1u8NpAAAAACD3Tp8+raZNm2Zqb9q0qU6fPm1CIgAAAADIfzxTHAAAAAAA4F8qKChIy5cvz9S+bNkyVa1a1YREAAAAAJD/GCkOAAAAAADwLzVhwgQ9/vjj2r59u+2Z4t9++62io6OzLJYDAAAAQFHESHEAAAAAAIB/qa5duyo2NlYVKlTQ2rVrtXbtWlWoUEG7d+9W586dzY4HAAAAAPmCkeIAAAAAAAD/YsHBwfr444/NjgEAAAAABYaiOADkgbOzs06fPi1vb2+79vPnz8vb21vp6ekmJQMAAACArF28eFFlypSx/XwzGf0AAAAAoCijKA4AeWAYRpbtaWlpKlGixB1OAwAAAAC3Vq5cOduXe8uWLSuLxZKpj2EYslgsfNEXAAAAgEOgKA4At2H27NmSJIvFovfff1/u7u62denp6dq+fbtq1KhhVjwAAAAAyNaWLVvk6ekpSdq6davJaQAAAACg4FEUB4Db8NZbb0m6MXoiKipKzs7OtnUlSpRQQECAoqKizIoHAAAAANkKDQ21/RwYGKiKFStmGi1uGIZ+/fXXOx0NAAAAAAoERXEAuA0nT56UJD344INavXq1ypUrZ3IiAAAAAMi9wMBA21Tqf5eUlKTAwECmTwcAAADgECiKA0AeMNUgAAAAgKIs49nh/5SSkiJXV1cTEgEAAABA/qMoDgB50LVrVzVq1EijR4+2a586dar27NmjFStWmJQMAAAAALIXGRkpSbJYLHr55ZdVsmRJ27r09HTFxsaqfv36JqUDAAAAgPxFURwA8mD79u165ZVXMrW3adNG06dPv/OBAAAAACAHDhw4IOnGSPFDhw6pRIkStnUlSpRQvXr1NHLkSLPiAQAAAEC+oigOAHmQkpJi98ejDMWLF9fFixdNSAQAAAAAt5bxKKi+fftq1qxZKlOmjMmJAAAAAKDgOJkdAACKsjp16mjZsmWZ2pcuXapatWqZkAgAAAAAcm7mzJm6fv16pvakpCS+6AsAAADAYTBSHADy4OWXX1aXLl104sQJtWzZUpIUHR2tTz75hOeJAwAAACj0IiIi1L59ew0ePNiuffny5Vq3bp2+/PJLk5IBAAAAQP5hpDgA5EH79u21du1aHT9+XIMHD9aIESP022+/afPmzerUqZPZ8QAAAADgpmJjY/Xggw9mam/RooViY2NNSAQAAAAA+Y+R4gCQR+3atVO7du3MjgEAAAAAuZaWlpbl9OnXrl3T5cuXTUgEAAAAAPmPkeIAkEfJycl6//339dJLLykpKUmStH//fv3+++8mJwMAAACAm2vUqJHmzZuXqT0qKkrBwcEmJAIAAACA/MdIcQDIg4MHDyosLEweHh46deqUnnrqKXl6emr16tWKj4/XokWLzI4IAAAAANmaNGmSwsLC9N1336lVq1aSpOjoaO3Zs0cbN240OR0AAAAA5A9GigNAHkRGRqpPnz46duyYXF1dbe1t27bV9u3bTUwGAAAAALd2//33KyYmRhUrVtTy5cv12WefKSgoSAcPHlTz5s3NjgcAAAAA+YKiOADkwZ49e/T0009nar/rrruUkJCQq31t375d7du3l7+/vywWi9auXWu33jAMjRs3Tn5+fnJzc1NYWJiOHTt2y/3OmTNHAQEBcnV1VUhIiHbv3p2rXAAAAAAcW/369bV48WJ9//332rt3r+bPn6+qVauaHQsAAAAA8g1FcQDIAxcXF128eDFT+08//SQvL69c7Ss1NVX16tXTnDlzslw/depUzZ49W1FRUYqNjVWpUqUUHh6uK1euZLvPZcuWKTIyUuPHj9f+/ftVr149hYeH68yZM7nKBgAAAMAxxcfH3/QFAAAAAI6AZ4oDQB506NBBEydO1PLlyyVJFotF8fHxGj16tLp27ZqrfbVp00Zt2rTJcp1hGJo5c6bGjh2rjh07SpIWLVokHx8frV27VhEREVluN2PGDA0YMEB9+/aVJEVFRemLL77Q/Pnz9eKLL+YqHwAAAADHExAQIIvFku369PT0O5gGAAAAAAoGRXEAyIPp06fr0Ucflbe3ty5fvqzQ0FAlJCSoSZMmmjx5cr4d5+TJk0pISFBYWJitzcPDQyEhIYqJicmyKH716lXt27dPY8aMsbU5OTkpLCxMMTEx2R4rLS1NaWlptuWUlBRJktVqldVqzY/TAQoVq9UqwzC4vgGTOTGHFQqAk5NksXB9If8Vhs8N+ZXhwIEDdsvXrl3TgQMHNGPGjHy9pwEAAAAAM1EUB4A88PDw0KZNm7Rjxw4dPHhQKSkpuu++++yK1/kh4/nkPj4+du0+Pj7ZPrv83LlzSk9Pz3KbH3/8MdtjTZkyRRMmTMjUnpSUxLTrcEhWq1UXLlyQYRhyomoCmCY4uJTZEeCALBYpKMhFkmQYJoeBQykMn4uTkpLyZT/16tXL1NawYUP5+/vrzTffVJcuXfLlOAAAAABgJoriAJAPmjVrpmbNmpkdI1+MGTNGkZGRtuW4uDiFhobK09NT3t7eJiYDCobVapXFYpGXlxdFccBE+/almh0BDijjbX3//lQVgoG9cCCF4XOxp6dnge6/evXq2rNnT4EeAwAAAADuFIriAJBLs2fP1sCBA+Xq6qrZs2fftK+7u7vuvfdehYSE5OmYvr6+kqTExET5+fnZ2hMTE1W/fv0st6lQoYKcnZ2VmJho156YmGjbX1ZcXFzk4uJiW3Z3d5d0Y+p1CoZwVBaLhWscMBkFSxQUw7hxfXGNIT8Vhs8M+ZXh4sWLdsuGYej06dN65ZVXVLVq1Xw5BgAAAACYjaI4AOTSW2+9pZ49e8rV1VVvvfXWTfumpaXpzJkzev755/Xmm2/e9jEDAwPl6+ur6OhoWxH84sWLio2N1aBBg7LcpkSJEgoODlZ0dLQ6deok6caI2OjoaA0ZMuS2swAAAABwHGXLlpXFYrFrMwxDFStW1NKlS01KBQAAAAD5i6I4AOTSyZMns/w5O5s2bVKPHj1uWRRPSUnR8ePH7fYdFxcnT09P3XPPPRo+fLgmTZqkqlWrKjAwUC+//LL8/f1tBW9JatWqlTp37mwrekdGRqp3795q2LChGjVqpJkzZyo1NVV9+/bN5VkDAAAAcERbt261W3ZycpKXl5eCgoJUrBh/NgIAAADgGLi7AYAC1qxZM40dO/aW/fbu3asHH3zQtpzxXO/evXtr4cKFeuGFF5SamqqBAwcqOTlZzZo10/r16+Xq6mrb5sSJEzp37pxt+fHHH9fZs2c1btw4JSQkqH79+lq/fr18fHzy8QwBAAAAFFWhoaFmRwAAAACAAkdRHADyaNu2bZo2bZqOHDkiSapVq5ZGjRql5s2bS5Lc3Nw0bNiwW+6nRYsWMgwj2/UWi0UTJ07UxIkTs+1z6tSpTG1DhgxhunQAAAAANuvWrctx3w4dOhRgEgAAAAC4MyiKA0AefPzxx+rbt6+6dOmioUOHSpK+/fZbtWrVSgsXLlSPHj1MTggAAAAA9v7+CCbpxhdw//4F3b8/Yzw9Pf1OxQIAAACAAuNkdgAAKMomT56sqVOnatmyZRo6dKiGDh2qZcuW6fXXX9err75qdjwAAAAAyMRqtdpeGzduVP369fXVV18pOTlZycnJ+vLLL3Xfffdp/fr1ZkcFAAAAgHzBSHEAyIOff/5Z7du3z9TeoUMHvfTSSyYkAgAAAICcGz58uKKiotSsWTNbW3h4uEqWLKmBAwfaHhMFAAAAAEUZI8UBIA8qVqyo6OjoTO2bN29WxYoVTUgEAAAAADl34sQJlS1bNlO7h4eHTp06dcfzAAAAAEBBoCgOAHkwYsQIDR06VIMGDdJHH32kjz76SM8884yGDx+ukSNHmh0PAAAAAG7qP//5jyIjI5WYmGhrS0xM1KhRo9SoUaPb2uecOXMUEBAgV1dXhYSEaPfu3Tftv2LFCtWoUUOurq6qU6eOvvzyS7v1hmFo3Lhx8vPzk5ubm8LCwnTs2DG7PklJSerZs6fKlCmjsmXLqn///kpJScnyeMePH1fp0qWz/DIAAAAAAMdEURwA8mDQoEFaunSpDh06pOHDh2v48OE6fPiwli1bpqefftrseAAAAABwU/Pnz9fp06d1zz33KCgoSEFBQbrnnnv0+++/64MPPsj1/pYtW6bIyEiNHz9e+/fvV7169RQeHq4zZ85k2X/nzp3q3r27+vfvrwMHDqhTp07q1KmTDh8+bOszdepUzZ49W1FRUYqNjVWpUqUUHh6uK1eu2Pr07NlT33//vTZt2qTPP/9c27dv18CBAzMd79q1a+revbuaN2+e63MDAAAAUHTxTHEAuE3Xr1/Xa6+9pn79+mnHjh1mxwEAAACAXAsKCtLBgwe1adMm/fjjj5KkmjVrKiwsTBaLJdf7mzFjhgYMGKC+fftKkqKiovTFF19o/vz5evHFFzP1nzVrllq3bq1Ro0ZJkl599VVt2rRJ77zzjqKiomQYhmbOnKmxY8eqY8eOkqRFixbJx8dHa9euVUREhI4cOaL169drz549atiwoSTp7bffVtu2bTVt2jT5+/vbjjd27FjVqFFDrVq10s6dO3N9fgAAAACKJoriAHCbihUrpqlTp6pXr15mRwEAAACA22axWPTwww/rgQcekIuLy20VwyXp6tWr2rdvn8aMGWNrc3JyUlhYmGJiYrLcJiYmRpGRkXZt4eHhWrt2rSTp5MmTSkhIUFhYmG29h4eHQkJCFBMTo4iICMXExKhs2bK2grgkhYWFycnJSbGxsercubMkacuWLVqxYoXi4uK0evXqW55PWlqa0tLSbMsZ07FbrVZZrdZbbl+gDMPc48MxGcb/vYB8ZPp7ZhHjxPy+yGdOTpLFwrWFglEY3uNzmoGiOADkQatWrbRt2zYFBASYHQUAAAAAcs1qtWry5MmKiopSYmKifvrpJ1WuXFkvv/yyAgIC1L9//xzv69y5c0pPT5ePj49du4+Pj20U+j8lJCRk2T8hIcG2PqPtZn28vb3t1hcrVkyenp62PufPn1efPn308ccfq0yZMjk6nylTpmjChAmZ2pOSkrKdDv6OSUk29/hwXFdSb1ROgHx05gyVuNwIDi5ldgQ4GItFCgpykcT3npD/TP9crBufz3OCojgA5EGbNm304osv6tChQwoODlapUvYfWjt06GBSMgAAAAC4tUmTJunDDz/U1KlTNWDAAFt77dq1NXPmzFwVxQuzAQMGqEePHnrggQdyvM2YMWPsRrHHxcUpNDRUnp6emYrwd1yy+SNy4IAyRomX8qAwjnxl+ntmEbNvX6rZEeBgMkaI79+fqkIwqBcOpjC8x3t6euaoH0VxAMiDwYMHS7rx3Lx/slgsSk9Pv9ORAAAAACDHFi1apHnz5qlVq1Z65plnbO316tXLdnR3dipUqCBnZ2clJibatScmJsrX1zfLbXx9fW/aP+N/ExMT5efnZ9enfv36tj7/HKFy/fp1JSUl2bbfsmWL1q1bp2nTpkmSDMOQ1WpVsWLFNG/ePPXr1y9TNhcXF7m4uNiW3d3dJd2YEt7J7PlHKViioFgs//cC8onp75lFDEVLFATDuHFtcX0hvxWG9/icZjA/KQAUYRnPksvqRUEcAAAAQGH3+++/KygoKFO71WrVtWvXcrWvEiVKKDg4WNHR0Xb7iY6OVpMmTbLcpkmTJnb9JWnTpk22/oGBgfL19bXrc/HiRcXGxtr6NGnSRMnJydq3b5+tz5YtW2S1WhUSEiLpxrPL4+LibK+JEyeqdOnSiouLsz1zHAAAAIDjYqQ4ANymU6dOadOmTbp27ZpCQ0N17733mh0JAAAAAHKlVq1a+uabb1SpUiW79pUrV6pBgwa53l9kZKR69+6thg0bqlGjRpo5c6ZSU1PVt29fSVKvXr101113acqUKZKkYcOGKTQ0VNOnT1e7du20dOlS7d27V/PmzZN0Ywau4cOHa9KkSapataoCAwP18ssvy9/fX506dZIk1axZU61bt9aAAQMUFRWla9euaciQIYqIiJC/v7+tz9/t3btXTk5Oql27dq7PEQAAAEDRQ1EcAG7D1q1b9cgjj+jy5cuSpGLFimn+/Pl64oknTE4GAAAAADk3btw49e7dW7///rusVqtWr16to0ePatGiRfr8889zvb/HH39cZ8+e1bhx45SQkKD69etr/fr18vHxkSTFx8fbTW/YtGlTLVmyRGPHjtVLL72kqlWrau3atXbF6hdeeEGpqakaOHCgkpOT1axZM61fv16urq62PosXL9aQIUPUqlUrOTk5qWvXrpo9e3YefjMAAAAAHInFMAzD7BAAUNQ0a9ZMFSpU0Ny5c+Xq6qqxY8dqzZo1+uOPP8yOlu/279+v4OBg7du3T/fdd5/ZcYB8Z7VadebMGXl7exeKZ+AA/1YWyzSzI8ABOTlJwcGltG9fKs/OQ74yjJFmR8jXz+nffPONJk6cqO+++04pKSm67777NG7cOD388MP5lNYxFKZ7o9VHT5t6fDgow5BSkiX3sjxTHPmqS3U/syMUKdwbIb9xX4SCVJTujRgpDgC34fDhw9q5c6f8/G58qH/zzTf1v//9T+fPn1f58uVNTgcAAAAAOde8eXNt2rQpU/vevXvVsGFDExIBAAAAQP5iOBQA3IaLFy+qQoUKtuWSJUvKzc1NFy5cMDEVAAAAAOROSkqK7bFQGeLi4tS+fXuFhISYlAoAAAAA8hcjxQHgNm3YsEEeHh62ZavVqujoaB0+fNjW1qFDBzOiAQAAAMBN/frrr+rWrZt2794tZ2dnDRkyRJMmTdIzzzyjZcuWqXPnztq5c6fZMQEAAAAgX1AUB4Db1Lt370xtTz/9tO1ni8Wi9PT0OxkJAAAAAHJk1KhRunLlimbNmqXVq1dr1qxZ+uabbxQSEqITJ07o7rvvNjsiAAAAAOQbiuIAcBusVqvZEQAAAADgtm3fvl2rV69W48aN1a1bN/n6+qpnz54aPny42dEAAAAAIN/xTHEAAAAAAIB/mcTERAUGBkqSvL29VbJkSbVp08bkVAAAAABQMCiKAwAAAAAA/As5OTnZ/VyiRAkT0wAAAABAwWH6dAAAAAAAgH8ZwzBUrVo1WSwWSVJKSooaNGhgVyiXpKSkJDPiAQAAAEC+oigOAAAAAADwL7NgwQKzIwAAAADAHUNRHAAAAAAA4F+md+/eZkcAAAAAgDuGZ4oDQB4lJyfr/fff15gxY2xTC+7fv1+///67yckAAAAAAAAAAADASHEAyIODBw8qLCxMHh4eOnXqlAYMGCBPT0+tXr1a8fHxWrRokdkRAQAAAAAAAAAA/tUYKQ4AeRAZGak+ffro2LFjcnV1tbW3bdtW27dvNzEZAAAAAAAAAAAAJIriAJAne/bs0dNPP52p/a677lJCQoIJiQAAAAAAAAAAAPB3FMUBIA9cXFx08eLFTO0//fSTvLy8TEgEAAAAAAAAAACAv+OZ4gCQBx06dNDEiRO1fPlySZLFYlF8fLxGjx6trl27mpwOAAAAALKWnJysTz75RIMGDZIk9ezZU5cvX7atd3Z21nvvvaeyZcualBAAAAAA8g8jxQEgD6ZPn66UlBR5e3vr8uXLCg0NVVBQkEqXLq3JkyebHQ8AAAAAsvTee+9px44dtuV169bJyclJHh4e8vDw0KFDhzRz5kzzAgIAAABAPmKkOADkgYeHhzZt2qQdO3bo4MGDSklJ0X333aewsDCzowEAAABAtlauXJnpi7xTp05V5cqVJUlr1qzRxIkT9corr5iQDgAAAADyF0VxAMgHzZo1U7NmzcyOAQAAAAA58vPPP6t69eq25erVq6tEiRK25Xr16unYsWNmRAMAAACAfEdRHADyYPbs2Vm2WywWubq6KigoSA888ICcnZ3vcDIAAAAAyF5qaqouXLigihUrSpL27t2bab3VajUjGgAAAADkO4riAJAHb731ls6ePau//vpL5cqVkyT9+eefKlmypNzd3XXmzBlVrlxZW7dutf2xCQAAAADMVrlyZe3fv1+1a9fOcv3evXsVGBh4h1MBAAAAQMFwMjsAABRlr732mv7zn//o2LFjOn/+vM6fP6+ffvpJISEhmjVrluLj4+Xr66vnn3/e7KgAAAAAYNO5c2eNHTtWiYmJmdYlJCRo/Pjx6ty5swnJAAAAACD/MVIcAPJg7NixWrVqlapUqWJrCwoK0rRp09S1a1f9/PPPmjp1qrp27WpiSgAAAACw98ILL2jVqlWqWrWqnnzySVWrVk2SdPToUX388ce66667NHr0aJNTAgAAAED+oCgOAHlw+vRpXb9+PVP79evXlZCQIEny9/fXpUuX7nQ0AAAAAMhW6dKl9e2332rMmDH65JNPlJycLEkqW7asevTooddee02lS5c2NyQAAAAA5BOmTweAPHjwwQf19NNP68CBA7a2AwcOaNCgQWrZsqUk6dChQzyLDwAAAEChU65cOUVFRen8+fNKSEhQQkKCzp8/r6ioKHl6epodDwAAAADyDUVxAMiDDz74QJ6engoODpaLi4tcXFzUsGFDeXp66oMPPpAkubu7a/r06SYnBQAAAICsWSwWeXt7y9vbWxaLxew4AAAAAJDvmD4dAPLA19dXmzZt0o8//qiffvpJklS9enVVr17d1ufBBx80Kx4AAAAAZKlBgwY5KoDv37//DqQBAAAAgIJFURwA8kGNGjVUo0YNs2MAAAAAQI506tTJ9rNhGJoyZYqeeeYZpk0HAAAA4JAoigNAHv32229at26d4uPjdfXqVbt1M2bMMCkVAAAAAGRv/PjxdsvTp0/XsGHDVLlyZZMSAQAAAEDBoSgOAHkQHR2tDh06qHLlyvrxxx9Vu3ZtnTp1SoZh6L777jM7HgAAAAAAAAAAwL+ek9kBAKAoGzNmjEaOHKlDhw7J1dVVq1at0q+//qrQ0FA99thjZscDAAAAAAAAAAD416MoDgB5cOTIEfXq1UuSVKxYMV2+fFnu7u6aOHGi3njjDZPTAQAAAAAAAAAAgOnTASAPSpUqZXuOuJ+fn06cOKF7771XknTu3DkzowEAAABAtmbPnm23fP36dS1cuFAVKlSwax86dOidjAUAAAAABYKiOADkQePGjbVjxw7VrFlTbdu21YgRI3To0CGtXr1ajRs3NjseAAAAAGTprbfeslv29fXVRx99ZNdmsVgoigMAAABwCBTFASAPZsyYoZSUFEnShAkTlJKSomXLlqlq1aqaMWNGvh8vICBAv/zyS6b2wYMHa86cOZnaFy5cqL59+9q1ubi46MqVK/meDQAAAEDRcfLkSbMjAAAAAMAdQ1EcAG5Tenq6fvvtN9WtW1fSjanUo6KiCvSYe/bsUXp6um35/7F35/E1nP3/x98nIYuEEBIRS+yx76XWqKXRWkpbgrbE2ipFKXdp7UpLY+lqaS21lBalt5baqaX2vajdV+0iSJCQc/3+8Mu5HUlICIfj9Xw8zqOda66Z+VxnxmSu85lrZs+ePapbt66aNm2a7DKZMmXSgQMHbNMWi+WRxggAAAAAAAAAAPAkISkOAA/I1dVVL774ovbt26fMmTM/lm36+fnZTX/66acqUKCAQkJCkl3GYrEoICAgxduIjY1VbGysbTphJLzVapXVak1lxMCTz2q1yhjD8Q04mIuLoyOAM3JxkSwWji+kvSfhuuFhY7h+/bqWL1+uBg0aSJL69Olj1w9wdXXVkCFD5OHh8VDbAQAAAIAnAUlxAHgIJUqU0JEjR5QvX77Hvu24uDhNnz5dPXr0uOfo7+joaAUFBclqtapcuXIaNmyYihcvnmz94cOHa9CgQYnKIyMjde7cuTSJHXiSWK1WXb58WcYYuZA1ARymfHkvR4cAJ2SxSAULukuSjHFwMHAqT8J1cWRk5EMtP3XqVP3222+2pPhXX32l4sWLy9PTU5K0f/9+BQYG6v3333/oWAEAAADA0UiKA8BDGDp0qD744AMNGTJE5cuXl5eX/Q/6mTJlemTbnj9/vqKiohQeHp5sneDgYE2aNEmlSpXS5cuX9fnnn6tKlSrau3evcuXKleQyffr0UY8ePWzTO3bsUEhIiHx9feXv75/WzQAczmq1ymKxyM/Pj6Q44EBbt8Y4OgQ4oYTT+rZtMXoCBvbCiTwJ18W+vr4PtfyMGTPUu3dvu7KZM2cqf/78kqTp06fr66+/JikOAAAAwCmQFAeAh/Dyyy9Lkho1amQ3WtsYI4vFYvf+77T2/fff66WXXlJgYGCydSpXrqzKlSvbpqtUqaKiRYtq/PjxGjJkSJLLuLu7y93d3Tbt7e0tSXJxcSFhCKdlsVg4xgEHI2GJR8WY28cXxxjS0pNwzfCwMRw6dEglS5a0TXt4eNits2LFiurcufNDbQMAAAAAnhQkxQHgIaxcudIh2z1+/LiWLVumefPmpWq59OnTq2zZsjp06NAjigwAAADA0yAqKsruHeLnz5+3m2+1Wu3mAwAAAMDTjKQ4ADyEkJAQh2x38uTJ8vf3V/369VO1XHx8vHbv3m0b4Q4AAADg2ZQrVy7t2bNHwcHBSc7ftWtXsq9cAgAAAICnjeOf9wUAT7k///xTb775pqpUqaJ///1XkjRt2jStXbv2kWzParVq8uTJat26tdKls7+3qVWrVurTp49tevDgwVqyZImOHDmibdu26c0339Tx48fVvn37RxIbAAAAgKfDyy+/rP79++vGjRuJ5l2/fl2DBg1K9U24AAAAAPCkIikOAA9h7ty5Cg0Nlaenp7Zt22Z7vODly5c1bNiwR7LNZcuW6cSJE2rbtm2ieSdOnNDp06dt05cuXVKHDh1UtGhRvfzyy7py5YrWr1+vYsWKPZLYAAAAADwd+vbtq8jISAUHB2vkyJFasGCBFixYoBEjRig4OFiXLl1S3759HR0mAAAAAKQJHp8OAA9h6NChGjdunFq1aqVZs2bZyqtWraqhQ4c+km2++OKLMsYkOW/VqlV206NHj9bo0aMfSRwAAAAAnl7Zs2fX+vXr1alTJ3344Ye2PobFYlHdunX1zTffKHv27A6OEgAAAADSBklxAHgIBw4cUI0aNRKV+/j4KCoq6vEHBAAAAAAplC9fPi1evFiRkZE6dOiQJKlgwYLy9fV1cGQAAAAAkLZIigPAQwgICNChQ4eUN29eu/K1a9cqf/78jgkKAAAAAFLB19dXFStWdHQYAAAAAPDI8E5xAHgIHTp0ULdu3bRx40ZZLBadOnVKM2bM0AcffKBOnTo5OjwAAAAAAAAAAIBnHiPFAeAhfPjhh7Jarapdu7auXbumGjVqyN3dXR988IHee+89R4cHAAAAAAAAAADwzCMpDgAPwWKx6KOPPlKvXr106NAhRUdHq1ixYvL29nZ0aAAAAAAAAAAAABCPTweAhzJ9+nRdu3ZNbm5uKlasmCpWrEhCHAAAAAAAAAAA4AlCUhwAHsL7778vf39/tWzZUr///rvi4+MdHRIAAAAAAAAAAADuQFIcAB7C6dOnNWvWLFksFjVr1kw5cuRQ586dtX79ekeHBgAAAAAAAAAAAJEUB4CHki5dOjVo0EAzZszQuXPnNHr0aB07dkwvvPCCChQo4OjwAAAAAAAAAAAAnnnpHB0AADiLDBkyKDQ0VJcuXdLx48e1b98+R4cEAAAAAAAAAADwzGOkOAA8pGvXrmnGjBl6+eWXlTNnTo0ZM0ZNmjTR3r17HR0aAAAAAAAAAADAM4+R4gDwEJo3b66FCxcqQ4YMatasmfr166fKlSs7OiwAAAAAAAAAAAD8fyTFAeAhuLq66qefflJoaKhcXV3t5u3Zs0clSpRwUGQAAAAAAAAAAACQSIoDwEOZMWOG3fTVq1f1448/6rvvvtPWrVsVHx/voMgAAAAAAAAAAAAg8U5xAEgTa9asUevWrZUjRw59/vnnqlWrlv766y9HhwUAAAAAAAAAAPDMY6Q4ADygM2fOaMqUKfr+++915coVNWvWTLGxsZo/f76KFSvm6PAAAAAAAAAAAAAgRooDwANp2LChgoODtWvXLo0ZM0anTp3Sl19+6eiwAAAAAAAAAAAAcBdGigPAA1i0aJG6du2qTp06qVChQo4OBwAAAAAAAAAAAMlgpDgAPIC1a9fq6tWrKl++vCpVqqSvvvpKFy5ccHRYAAAAAAAAAAAAuAtJcQB4AM8//7wmTpyo06dP6+2339asWbMUGBgoq9WqpUuX6urVq44OEQAAAAAAAAAAACIpDgAPxcvLS23bttXatWu1e/du9ezZU59++qn8/f3VqFEjR4cHAAAAAAAAAADwzCMpDgBpJDg4WCNGjNDJkyf1448/OjocAAAAAAAAAAAAiKQ4AKQ5V1dXNW7cWL/++qujQwEAAAAAAAAAAHjmkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIA8BQZOHCgLBaL3adIkSL3XObnn39WkSJF5OHhoZIlS+r3339/TNECAAAAAAAAAAA4HklxAHjKFC9eXKdPn7Z91q5dm2zd9evXq0WLFmrXrp22b9+uxo0bq3HjxtqzZ89jjBgAAAAAAAAAAMBx0jk6AABA6qRLl04BAQEpqjt27FjVq1dPvXr1kiQNGTJES5cu1VdffaVx48YluUxsbKxiY2Nt09HR0ZIkq9Uqq9X6kNEDTx6r1SpjDMc34GAu3K6LR8DFRbJYOL6Q9p6E64YnIQYAAAAAeFqQFAeAp8zBgwcVGBgoDw8PVa5cWcOHD1eePHmSrLthwwb16NHDriw0NFTz589Pdv3Dhw/XoEGDEpVHRkbq3LlzDxU78CSyWq26fPmyjDFyIWsCOEz58l6ODgFOyGKRChZ0lyQZ4+Bg4FSehOviyMhIR4cAAAAAAE8NkuIA8BSpVKmSpkyZouDgYJ0+fVqDBg1S9erVtWfPHmXMmDFR/TNnzih79ux2ZdmzZ9eZM2eS3UafPn3sEuk7duxQSEiIfH195e/vn3aNAZ4QVqtVFotFfn5+JMUBB9q6NcbRIcAJJZzWt22LEYNqkZaehOtiX19fR4cAAAAAAE8NkuIA8BR56aWXbP9fqlQpVapUSUFBQfrpp5/Url27NNmGu7u73N3dbdPe3t6SJBcXFxKGcFoWi4VjHHAwEpZ4VIy5fXxxjCEtPQnXDE9CDAAAAADwtKAHBQBPscyZM6tw4cI6dOhQkvMDAgJ09uxZu7KzZ8+m+J3kAAAAAAAAAAAATzuS4gDwFIuOjtbhw4eVI0eOJOdXrlxZy5cvtytbunSpKleu/DjCAwAAAPAM+vrrr5U3b155eHioUqVK2rRp0z3r//zzzypSpIg8PDxUsmRJ/f7773bzjTHq37+/cuTIIU9PT9WpU0cHDx60qxMZGak33nhDmTJlUubMmdWuXTtFR0fb5q9atUqvvPKKcuTIIS8vL5UpU0YzZsxIu0YDAAAAeKKRFAeAp8gHH3yg1atX69ixY1q/fr2aNGkiV1dXtWjRQpLUqlUr9enTx1a/W7duWrx4sSIiIrR//34NHDhQW7ZsUZcuXRzVBAAAAABObPbs2erRo4cGDBigbdu2qXTp0goNDdW5c+eSrL9+/Xq1aNFC7dq10/bt29W4cWM1btxYe/bssdUZMWKEvvjiC40bN04bN26Ul5eXQkNDdePGDVudN954Q3v37tXSpUu1cOFCrVmzRh07drTbTqlSpTR37lzt2rVLbdq0UatWrbRw4cJH92UAAAAAeGKQFAeAp8jJkyfVokULBQcHq1mzZsqaNav++usv+fn5SZJOnDih06dP2+pXqVJFM2fO1IQJE1S6dGnNmTNH8+fPV4kSJRzVBAAAAABObNSoUerQoYPatGmjYsWKady4ccqQIYMmTZqUZP2xY8eqXr166tWrl4oWLaohQ4aoXLly+uqrryTdHiU+ZswYffzxx3rllVdUqlQp/fDDDzp16pTmz58vSdq3b58WL16s7777TpUqVVK1atX05ZdfatasWTp16pQkqW/fvhoyZIiqVKmiAgUKqFu3bqpXr57mzZv3WL4XAAAAAI6VztEBAABSbtasWfecv2rVqkRlTZs2VdOmTR9RRAAAAABwW1xcnLZu3Wr39CoXFxfVqVNHGzZsSHKZDRs2qEePHnZloaGhtoT30aNHdebMGdWpU8c238fHR5UqVdKGDRvUvHlzbdiwQZkzZ1aFChVsderUqSMXFxdt3LhRTZo0SXLbly9fVtGiRZNtT2xsrGJjY23TCY9jt1qtslqtyS73WBjj2O3DORnzvw+Qhhx+znzKuDCUEWnMxUWyWDi28Gg8Cef4lMZAUhwAAAAAAAAP7cKFC4qPj1f27NntyrNnz679+/cnucyZM2eSrH/mzBnb/ISye9Xx9/e3m58uXTr5+vra6tztp59+0ubNmzV+/Phk2zN8+HANGjQoUXlkZGSyj4N/bKKjHLt9OK8bMbczJ0AaOneOTFxqlC/v5egQ4GQsFqlgQXdJ3PeEtOfw62Ldvj5PCZLiAAAAAAAAeGasXLlSbdq00cSJE1W8ePFk6/Xp08duFPuOHTsUEhIiX1/fREn4xy7K8SNy4IQSRol7+ZAYR5py+DnzKbN1a4yjQ4CTSRghvm1bjJ6AQb1wMk/COd7X1zdF9UiKAwAAAAAA4KFly5ZNrq6uOnv2rF352bNnFRAQkOQyAQEB96yf8N+zZ88qR44cdnXKlCljq3P3CJVbt24pMjIy0XZXr16thg0bavTo0WrVqtU92+Pu7i53d3fbtLe3t6Tbj4R3cfTzR0lY4lGxWP73AdKIw8+ZTxmSlngUjLl9bHF8Ia09Cef4lMbg+EgBAAAAAADw1HNzc1P58uW1fPlyW5nVatXy5ctVuXLlJJepXLmyXX1JWrp0qa1+vnz5FBAQYFfnypUr2rhxo61O5cqVFRUVpa1bt9rqrFixQlarVZUqVbKVrVq1SvXr19dnn32mjh07PnyDAQAAADw1GCkOAAAAAACANNGjRw+1bt1aFSpUUMWKFTVmzBjFxMSoTZs2kqRWrVopZ86cGj58uCSpW7duCgkJUUREhOrXr69Zs2Zpy5YtmjBhgiTJYrGoe/fuGjp0qAoVKqR8+fKpX79+CgwMVOPGjSVJRYsWVb169dShQweNGzdON2/eVJcuXdS8eXMFBgZKuv3I9AYNGqhbt2567bXXbO8ad3NzS/HjFgEAAAA8vUiKAwAAAAAAIE2EhYXp/Pnz6t+/v86cOaMyZcpo8eLFyp49uyTpxIkTdo83rFKlimbOnKmPP/5Yffv2VaFChTR//nyVKFHCVqd3796KiYlRx44dFRUVpWrVqmnx4sXy8PCw1ZkxY4a6dOmi2rVry8XFRa+99pq++OIL2/ypU6fq2rVrGj58uC0hL0khISFatWrVI/xGAAAAADwJSIoDAAAAAAAgzXTp0kVdunRJcl5SCeimTZuqadOmya7PYrFo8ODBGjx4cLJ1fH19NXPmzGTnT5kyRVOmTEl2PgAAAADnxjvFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4ADxFhg8frueee04ZM2aUv7+/GjdurAMHDtxzmSlTpshisdh9PDw8HlPEAAAAAAAAAAAAjkVSHACeIqtXr1bnzp31119/aenSpbp586ZefPFFxcTE3HO5TJky6fTp07bP8ePHH1PEAAAAAAAAAAAAjpXO0QEAAFJu8eLFdtNTpkyRv7+/tm7dqho1aiS7nMViUUBAwKMODwAAAAAAAAAA4IlDUhwAnmKXL1+WJPn6+t6zXnR0tIKCgmS1WlWuXDkNGzZMxYsXT7JubGysYmNj7ZaVJKvVKqvVmkaRA08Oq9UqYwzHN+BgLjzDCo+Ai4tksXB8Ie09CdcNT0IMAAAAAPC0ICkOAE8pq9Wq7t27q2rVqipRokSy9YKDgzVp0iSVKlVKly9f1ueff64qVapo7969ypUrV6L6w4cP16BBgxKVR0ZG6ty5c2naBuBJYLVadfnyZRlj5ELWBHCY8uW9HB0CnJDFIhUs6C5JMsbBwcCpPAnXxZGRkY4OAQAAAACeGiTFAeAp1blzZ+3Zs0dr1669Z73KlSurcuXKtukqVaqoaNGiGj9+vIYMGZKofp8+fdSjRw/b9I4dOxQSEiJfX1/5+/unXQOAJ4TVapXFYpGfnx9JccCBtm6NcXQIcEIJp/Vt22LEoFqkpSfhuvh+T4sCAAAAAPwPSXEAeAp16dJFCxcu1Jo1a5Ic7X0v6dOnV9myZXXo0KEk57u7u8vd3d027e3tLUlycXEhYQinZbFYOMYBByNhiUfFmNvHF8cY0tKTcM3wJMQAAAAAAE8LelAA8BQxxqhLly765ZdftGLFCuXLly/V64iPj9fu3buVI0eORxAhAAAAAAAAAADAk4WR4gDwFOncubNmzpypBQsWKGPGjDpz5owkycfHR56enpKkVq1aKWfOnBo+fLgkafDgwXr++edVsGBBRUVFaeTIkTp+/Ljat2/vsHYAAAAAAAAAAAA8LiTFAeAp8u2330qSatasaVc+efJkhYeHS5JOnDhh9yjFS5cuqUOHDjpz5oyyZMmi8uXLa/369SpWrNjjChsAAAAAAAAAAMBhSIoDwFPEGHPfOqtWrbKbHj16tEaPHv2IIgIAAAAAAAAAAHiy8U5xAAAAAAAAAAAAAIDTIikOAAAAAAAAAAAAAHBaJMUBAAAAAAAAAAAAAE6LpDgAAAAAAAAAAAAAwGmRFAcAAAAAAAAAAAAAOC2S4gAAAAAAAAAAAAAAp0VSHAAAAAAAAAAAAADgtEiKAwAAAAAAAAAAAACcFklxAAAAAAAAAAAAAIDTIikOAAAAAAAAAAAAAHBaJMUBAAAAAAAAAAAAAE6LpDgAAAAAAAAAAAAAwGmRFAcAAAAAAAAAAAAAOC2S4gAAAAAAAAAAAAAAp0VSHAAAAAAAAAAAAADgtEiKAwAAAAAAAAAAAACcFklxAAAAAAAAAAAAAIDTIikOAAAAAAAAAAAAAHBaJMUBAAAAAAAAAAAAAE6LpDgAAAAAAAAAAAAAwGmRFAcAAAAAAAAAAAAAOC2S4gAAAAAAAAAAAAAAp0VSHAAAAAAAAAAAAADgtEiKAwAAAAAAAAAAAACcFklxAAAAAAAAAAAAAIDTIikOAAAAAAAAAAAAAHBaJMUBAAAAAAAAAAAAAE6LpDgAAAAAAAAAAAAAwGmRFAcAAAAAAAAAAAAAOC2S4gAAAAAAAAAAAAAAp5XO0QEAAJBS8w6cdnQIcEbGSNFRUpRVslgcHQ2czKvBORwdAgAAAAAAAPDMY6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHgKfM119/rbx588rDw0OVKlXSpk2b7ln/559/VpEiReTh4aGSJUvq999/f0yRAgAAAHgWpXWfxRij/v37K0eOHPL09FSdOnV08OBBuzqRkZF64403lClTJmXOnFnt2rVTdHS0XZ1du3apevXq8vDwUO7cuTVixIi0aTAAAACAJx5JcQB4isyePVs9evTQgAEDtG3bNpUuXVqhoaE6d+5ckvXXr1+vFi1aqF27dtq+fbsaN26sxo0ba8+ePY85cgAAAADPgkfRZxkxYoS++OILjRs3Ths3bpSXl5dCQ0N148YNW5033nhDe/fu1dKlS7Vw4UKtWbNGHTt2tM2/cuWKXnzxRQUFBWnr1q0aOXKkBg4cqAkTJjy6LwMAAADAE4OkOAA8RUaNGqUOHTqoTZs2KlasmMaNG6cMGTJo0qRJSdYfO3as6tWrp169eqlo0aIaMmSIypUrp6+++uoxRw4AAADgWZDWfRZjjMaMGaOPP/5Yr7zyikqVKqUffvhBp06d0vz58yVJ+/bt0+LFi/Xdd9+pUqVKqlatmr788kvNmjVLp06dkiTNmDFDcXFxmjRpkooXL67mzZura9euGjVq1GP5XgAAAAA4VjpHBwAASJm4uDht3bpVffr0sZW5uLioTp062rBhQ5LLbNiwQT169LArCw0Ntf14lJTY2FjFxsbapi9cuCBJ+vvvv2W1Wh+iBQ/vyPGLDt0+nJWRrl2VMmSUZHF0MHAyW67+6+gQnhoWy0lHhwAnZLFI1655ymK5LguneKShLVu2ODoE7d+/X5J0/fp1B0fyP4+iz3L06FGdOXNGderUsc338fFRpUqVtGHDBjVv3lwbNmxQ5syZVaFCBVudOnXqyMXFRRs3blSTJk20YcMG1ahRQ25ubnbb+eyzz3Tp0iVlyZIlUWz0jfDsoW+ER4N+UerQN0Jao1+ER+lp6huRFAeAp8SFCxcUHx+v7Nmz25Vnz57ddtK/25kzZ5Ksf+bMmWS3M3z4cA0aNChR+VtvvfUAUQMAADhOfLy0d6+jo4Azeu65sY4OwebYsWOqWrWqo8OQ9Gj6LAn/vV8df39/u/np0qWTr6+vXZ18+fIlWkfCvKSS4vSNAACAM6BfhEfpaeobkRQHANjp06eP3UiNCxcu6M8//1TBggXl6enpwMiARyM6OlohISFavXq1vL29HR0OACANcY6HM7t+/bqOHTum0NBQR4fitOgb4VnD300AcE6c3+HsUto3IikOAE+JbNmyydXVVWfPnrUrP3v2rAICApJcJiAgIFX1Jcnd3V3u7u626UyZMil//vwPETnwZLty5YokqUyZMsqUKZODowEApCXO8XB2T8oI8QSPos+S8N+zZ88qR44cdnXKlCljq3Pu3Dm7ddy6dUuRkZF260lqO3du4270jfCs4e8mADgnzu94FqSkb+TyGOIAAKQBNzc3lS9fXsuXL7eVWa1WLV++XJUrV05ymcqVK9vVl6SlS5cmWx8AAAAAHtSj6LPky5dPAQEBdnWuXLmijRs32upUrlxZUVFR2rp1q63OihUrZLVaValSJVudNWvW6ObNm3bbCQ4OTvLR6QAAAACcC0lxAHiK9OjRQxMnTtTUqVO1b98+derUSTExMWrTpo0kqVWrVurTp4+tfrdu3bR48WJFRERo//79GjhwoLZs2aIuXbo4qgkAAAAAnFha91ksFou6d++uoUOH6tdff9Xu3bvVqlUrBQYGqnHjxpKkokWLql69eurQoYM2bdqkdevWqUuXLmrevLkCAwMlSS1btpSbm5vatWunvXv3avbs2Ro7dqzd49EBAAAAOC8enw4AT5GwsDCdP39e/fv315kzZ1SmTBktXrxY2bNnlySdOHFCLi7/u9+pSpUqmjlzpj7++GP17dtXhQoV0vz581WiRAlHNQF44ri7u2vAgAF2j8YEADgHzvHA4/co+iy9e/dWTEyMOnbsqKioKFWrVk2LFy+Wh4eHrc6MGTPUpUsX1a5dWy4uLnrttdf0xRdf2Ob7+PhoyZIl6ty5s8qXL69s2bKpf//+6tix42P4VoCnA383AcA5cX4HbrMYY4yjgwAAAAAAAAAAAAAA4FHg8ekAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgDAM8hisWj+/Plpus6BAweqTJkyabpO3NuxY8dksVi0Y8cOR4cCwImk5G9EeHi4Gjdu/FjieVbUrFlT3bt3d3QYAPBMoV/kHOgXAXhU6Bs5Bn0jPCokxQEAcDLnz59Xp06dlCdPHrm7uysgIEChoaFat26drc7p06f10ksvOTDKe5s7d65q1qwpHx8feXt7q1SpUho8eLAiIyMfaxxp9YPWqlWrZLFYbJ/s2bPrtdde05EjRx5qvblz59bp06dVokSJh45R4sck4GkUHh4ui8Wid955J9G8zp07y2KxKDw8/IHXn9x5YezYsZoyZcp9lz906JDatGmjXLlyyd3dXfny5VOLFi20ZcuWB47pQaTl+S1v3ry287mXl5fKlSunn3/++aHXO2/ePA0ZMuSh15OAH5IAPOvoF6Ud+kUAngb0jVKGvhGeZSTFAQBwMq+99pq2b9+uqVOn6p9//tGvv/6qmjVr6uLFi7Y6AQEBcnd3d2CUyfvoo48UFham5557TosWLdKePXsUERGhnTt3atq0aY4O76EcOHBAp06d0s8//6y9e/eqYcOGio+PT1TPGKNbt27dd32urq4KCAhQunTpHkW4AJ4SuXPn1qxZs3T9+nVb2Y0bNzRz5kzlyZPnkWzTx8dHmTNnvmedLVu2qHz58vrnn380fvx4/f333/rll19UpEgR9ezZ85HE9bgMHjxYp0+f1vbt2/Xcc88pLCxM69evT7JuXFxcitbp6+urjBkzpmWYAPBMo1/05KJfBOBRoW/0+NE3wlPFAAAAp3Hp0iUjyaxateqe9SSZX375xRhjzNGjR40kM3fuXFOzZk3j6elpSpUqZdavX2+3zIQJE0yuXLmMp6enady4sYmIiDA+Pj62+QMGDDClS5e2W2bixImmSJEixt3d3QQHB5uvv/76nnFt3LjRSDJjxoxJtn0JvvnmG5M/f36TPn16U7hwYfPDDz/Y5iW0afv27XbLSjIrV640xhizcuVKI8ksW7bMlC9f3nh6eprKlSub/fv3G2OMmTx5spFk95k8ebJp06aNqV+/vl1ccXFxxs/Pz3z33XdJxp2wrTvjnzFjhpFk9u/fb5v/+++/m3Llypn06dOblStXmhs3bpj33nvP+Pn5GXd3d1O1alWzadOme7Zz9+7dpl69esbLy8v4+/ubN99805w/f942Pz4+3nz22WemQIECxs3NzeTOndsMHTrUGGMStTckJMQW/3PPPWcyZMhgfHx8TJUqVcyxY8eSbCuAx6t169bmlVdeMSVKlDDTp0+3lc+YMcOUKlXKvPLKK6Z169a28qCgIDN69Gi7dZQuXdoMGDDANn3n34jkzgsJ202O1Wo1xYsXN+XLlzfx8fGJ5t95Pty1a5d54YUXjIeHh/H19TUdOnQwV69etc0PCQkx3bp1s1s+qXZ98sknpk2bNsbb29vkzp3bjB8/3q5Nd7dj9erVJl26dOb06dN26+7WrZupVq1asm27+zu8efOmyZAhg/nwww9t8wcPHmzeeustkzFjRlucc+bMMcWKFTNubm4mKCjIfP7553brvbudN27cMD179jSBgYEmQ4YMpmLFira/YQnWrl1rQkJCjKenp8mcObN58cUXTWRkpGndunWiNh89etRERkaali1bmmzZshkPDw9TsGBBM2nSpGTbCgBPK/pFxq5N9IvoFwHPAvpG/2sXfSP6RkgaI8UBAHAi3t7e8vb21vz58xUbG5uqZT/66CN98MEH2rFjhwoXLqwWLVrY7spft26d3nnnHXXr1k07duxQ3bp19cknn9xzfTNmzFD//v31ySefaN++fRo2bJj69eunqVOn3nMZb29vvfvuu0nOT7jz9pdfflG3bt3Us2dP7dmzR2+//bbatGmjlStXpqrNCe2OiIjQli1blC5dOrVt21aSFBYWpp49e6p48eI6ffq0Tp8+rbCwMLVv316LFy/W6dOnbetYuHChrl27prCwsBRv19PTU5L9XbIffvihPv30U+3bt0+lSpVS7969NXfuXE2dOlXbtm1TwYIFFRoamuzjEqOiolSrVi2VLVtWW7Zs0eLFi3X27Fk1a9bMVqdPnz769NNP1a9fP/3999+aOXOmsmfPLknatGmTJGnZsmU6ffq05s2bp1u3bqlx48YKCQnRrl27tGHDBnXs2FEWiyXFbQXw6LVt21aTJ0+2TU+aNElt2rR56PUmdV5IiR07dmjv3r3q2bOnXFwSdzsTzucxMTEKDQ1VlixZtHnzZv38889atmyZunTpkupYIyIiVKFCBW3fvl3vvvuuOnXqpAMHDiTbjho1aih//vx2o+1u3rypGTNm2P4WpES6dOmUPn16u/P5559/rtKlS2v79u3q16+ftm7dqmbNmql58+bavXu3Bg4cqH79+t3zMYtdunTRhg0bNGvWLO3atUtNmzZVvXr1dPDgQUm3v+PatWurWLFi2rBhg9auXWsbaTd27FhVrlxZHTp0sP0Ny507t+3cv2jRIu3bt0/ffvutsmXLlpqvGQCeCvSL6BfRLwKeXfSN6BvRN0KyHJ2VBwAAaWvOnDkmS5YsxsPDw1SpUsX06dPH7Ny5066OkhgRcefd/Hv37jWSzL59+4wxxoSFhSUaBfDGG2/cc0REgQIFzMyZM+2WGTJkiKlcuXKysb/00kumVKlS921jlSpVTIcOHezKmjZtal5++WW7NqV0RESC3377zUgy169fT7JNCYoVK2Y+++wz23TDhg1NeHh4svHePSLi1KlTpkqVKiZnzpwmNjbWNn/+/Pm2ZaKjo0369OnNjBkzbGVxcXEmMDDQjBgxIsl2DhkyxLz44ot22/6///s/I8kcOHDAXLlyxbi7u5uJEycmGWdS39vFixdTNMoGgGMkjEo4d+6ccXd3N8eOHTPHjh0zHh4e5vz58w89GiKp88Kd203O7NmzjSSzbdu2e8Y/YcIEkyVLFhMdHW0r++2334yLi4s5c+aMMSbloyHefPNN27TVajX+/v7m22+/vWc7PvvsM1O0aFHb9Ny5c423t7ddPHe78zuMjY01w4YNM5LMwoULbfMbN25st0zLli1N3bp17cp69eplihUrZpu+s53Hjx83rq6u5t9//7Vbpnbt2qZPnz7GGGNatGhhqlatmmycSX1vDRs2NG3atEl2GQBwJvSL6BfdiX4R4PzoG/2vXfSN7NE3QgJGigMA4GRee+01nTp1Sr/++qvq1aunVatWqVy5cve841KSSpUqZfv/HDlySJLOnTsn6fY73ypWrGhX/+7pO8XExOjw4cNq166dbZSGt7e3hg4dqsOHD0uSXnrpJVt58eLFJd1+Z1xK7Nu3T1WrVrUrq1q1qvbt25ei5e90r3Ynp3379ra7js+ePatFixal6M7ZXLlyycvLS4GBgYqJidHcuXPl5uZmm1+hQgXb/x8+fFg3b960a2f69OlVsWLFZNu5c+dOrVy50u47L1KkiG19+/btU2xsrGrXrn3fWBP4+voqPDxcoaGhatiwocaOHWs3GgTAk8HPz0/169fXlClTNHnyZNWvX/+x3eWeMJot4fPnn3+m6nxeunRpeXl52cqqVq0qq9VqG8mQUneezy0WiwICAu57Pg8PD9ehQ4f0119/SZKmTJmiZs2a2cWTlP/85z/y9vZWhgwZ9Nlnn+nTTz9V/fr1bfPvPJ9Lyf/dOnjwYJLvUN29e7fi4+NVuHBhu+929erVtr+jCaMhUqNTp06aNWuWypQpo969eyf7rj8AcAb0i1KHftG90S8Cnh70jegbpQR9o2dTOkcHAAAA0p6Hh4fq1q2runXrql+/fmrfvr0GDBig8PDwZJdJnz697f8THgFntVofaPvR0dGSpIkTJ6pSpUp281xdXSVJ3333na5fv2637cKFC2vt2rW6efOmXTyplfA4qjs7Hjdv3kyy7oO0u1WrVvrwww+1YcMGrV+/Xvny5VP16tXvG9eff/6pTJkyyd/fXxkzZkw0/34djfuJjo5Ww4YN9dlnnyWalyNHDh05cuSB1jt58mR17dpVixcv1uzZs/Xxxx9r6dKlev755x8qXgBpq23btrZH63399ddJ1nFxcUn0o0xy58eUatSokd25PmfOnNq/f78kaf/+/SpbtuxDrT+lMd/9d8Nisdz3fO7v76+GDRtq8uTJypcvnxYtWqRVq1bdN6ZevXopPDxc3t7eyp49e6JHp6bF+dzV1VVbt261/d1M4O3tLel/j5tNjZdeeknHjx/X77//rqVLl6p27drq3LmzPv/884eKFwCeVPSL6BfdjX4R8Gygb0Tf6H7oGz2bGCkOAMAzoFixYoqJiXng5YODg7V582a7srun75Q9e3YFBgbqyJEjKliwoN0nX758km53DBLKgoKCJEktW7ZUdHS0vvnmmyTXGxUVJUkqWrSo1q1bZzdv3bp1KlasmKTbdwVLsrtzf8eOHSlv8P/n5uaW5F2qWbNmVePGjTV58mRNmTIlxe+mypcvnwoUKJDkDz93K1CggNzc3OzaefPmTW3evNnWzruVK1dOe/fuVd68eRN9715eXipUqJA8PT21fPnyZNsrKck2ly1bVn369NH69etVokQJzZw5MyVNBvAY1atXT3Fxcbp586ZCQ0OTrOPn52d3brxy5YqOHj2a7DrvdV5IkDFjRrvzjaenp8qUKaNixYopIiIiyR9f7jyf79y50+5v1Lp16+Ti4qLg4OAkY46Pj9eePXuSjSe17Wjfvr1mz56tCRMmqECBAolGLSQlW7ZsKliwoAICAlL0LtHk/m4VLlw40Q870u1zbnx8vM6dO5fofB4QECDp9uiP5M7nUvJ/w/z8/NS6dWtNnz5dY8aM0YQJE+4bPwA4C/pF9IvoFwHPBvpGyaNv9D/0jZ49jBQHAMCJXLx4UU2bNlXbtm1VqlQpZcyYUVu2bNGIESP0yiuvPPB633vvPdWoUUOjRo1Sw4YNtWLFCi1atOieF7uDBg1S165d5ePjo3r16ik2NlZbtmzRpUuX1KNHjySXqVSpknr37q2ePXvq33//VZMmTRQYGKhDhw5p3Lhxqlatmrp166ZevXqpWbNmKlu2rOrUqaP//ve/mjdvnpYtWybp9h2izz//vD799FPly5dP586d08cff5zqdufNm1dHjx7Vjh07lCtXLmXMmFHu7u6SbncUGjRooPj4eLVu3TrV674fLy8vderUSb169ZKvr6/y5MmjESNG6Nq1a2rXrl2Sy3Tu3FkTJ05UixYt1Lt3b/n6+urQoUOaNWuWvvvuO3l4eOg///mPevfuLTc3N1WtWlXnz5/X3r171a5dO/n7+8vT01OLFy9Wrly55OHhocjISE2YMEGNGjVSYGCgDhw4oIMHD6pVq1Zp3mYAD8fV1dX2GNGkfkyQpFq1amnKlClq2LChMmfOrP79+ydbV1KS5wUfH5/7xmKxWDR58mTVqVNH1atX10cffaQiRYooOjpa//3vf7VkyRKtXr1ab7zxhgYMGKDWrVtr4MCBOn/+vN577z299dZbyp49uy3mHj166LffflOBAgU0atQo2w9HKXWvdoSGhipTpkwaOnSoBg8enKr1plTPnj313HPPaciQIQoLC9OGDRv01VdfJZvsKFy4sN544w21atVKERERKlu2rM6fP6/ly5erVKlSql+/vvr06aOSJUvq3Xff1TvvvCM3NzetXLlSTZs2VbZs2ZQ3b15t3LhRx44dk7e3t3x9fTVw4ECVL19exYsXV2xsrBYuXKiiRYs+kjYDgCPRL6JfRL8IeLbRN0oefSP6Rs80R73MHAAApL0bN26YDz/80JQrV874+PiYDBkymODgYPPxxx+ba9eu2epJMr/88osxxpijR48aSWb79u22+ZcuXTKSzMqVK21lEyZMMDlz5jSenp6mcePGZujQoSYgIMA2f8CAAaZ06dJ28cyYMcOUKVPGuLm5mSxZspgaNWqYefPm3bcds2fPNjVq1DAZM2Y0Xl5eplSpUmbw4MHm0qVLtjrffPONyZ8/v0mfPr0pXLiw+eGHH+zW8ffff5vKlSsbT09PU6ZMGbNkyRK7Nq1cudJIslvn9u3bjSRz9OhR2/f52muvmcyZMxtJZvLkyba6VqvVBAUFmZdffvm+7UlqWymZf/36dfPee++ZbNmyGXd3d1O1alWzadMm2/yk9t0///xjmjRpYjJnzmw8PT1NkSJFTPfu3Y3VajXGGBMfH2+GDh1qgoKCTPr06U2ePHnMsGHDbMtPnDjR5M6d27i4uJiQkBBz5swZ07hxY5MjRw7j5uZmgoKCTP/+/U18fPx92w3g0WvdurV55ZVXkp3/yiuvmNatW9umL1++bMLCwkymTJlM7ty5zZQpU0zp0qXNgAEDbHXu/BthTOLzQkq2m+DAgQOmVatWJjAw0HYOadGihdm2bZutzq5du8wLL7xgPDw8jK+vr+nQoYO5evWqbX5cXJzp1KmT8fX1Nf7+/mb48OGJ2hUUFGRGjx5tt+2725VUOxL069fPuLq6mlOnTt23TUltKyXz58yZY4oVK2Y7944cOdJufkhIiOnWrZttOi4uzvTv39/kzZvXpE+f3uTIkcM0adLE7Nq1y1Zn1apVpkqVKsbd3d1kzpzZhIaG2v6WHDhwwDz//PPG09PT9rdtyJAhpmjRosbT09P4+vqaV155xRw5cuS+bQaApw39ov+hX0S/CHhW0De6jb4RfSMkz2LMXS8gAAAASIEOHTpo//79+vPPPx0dikNER0crZ86cmjx5sl599VWHxHDgwAEVKVJEBw8eVMGCBR0SAwA4g3bt2un8+fP69ddfHRZD5cqVVbt2bQ0dOtRhMQAAUo9+Ef0iAHAm9I3gzHh8OgAASJHPP/9cdevWlZeXlxYtWqSpU6cm+2gjZ2a1WnXhwgVFREQoc+bMatSokUPiiIyM1Jw5c5QpUyblzp3bITEAwNPu8uXL2r17t2bOnOmwH31iY2O1e/du7d27V127dnVIDACAlKNfdBv9IgBwLvSN8CwgKQ4AAFJk06ZNGjFihK5evar8+fPriy++UPv27R0d1mN34sQJ5cuXT7ly5dKUKVOULp1jLqfatWunrVu36ttvv7W9zw8AkDqvvPKKNm3apHfeeUd169Z1SAyLFi1Sq1at1KhRI73++usOiQEAkHL0i26jXwQAzoW+EZ4FPD4dAAAAAAAAAAAAAOC0XBwdAAAAAAAAAAAAAAAAjwpJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAADPoIEDB8pisaSo7pQpU2SxWHTs2LFHGxSSZbFYNHDgQNv0w+yTmjVrqkSJEmkX3COWmmP1cUvYD1u2bHF0KAAAAMATafHixSpTpow8PDxksVgUFRWl8PBw5c2b19Gh4TF6kvt1AJ4dJMUBAIDTsFgsKfqsWrXKYbF8+umn9102IdFmsVi0du3aRPONMcqdO7csFosaNGiQZjEPGzZM8+fPf+j1xMfHa/LkyapZs6Z8fX3l7u6uvHnzqk2bNk9M8vDvv//WwIEDH1mif9WqVXr11VcVEBAgNzc3+fv7q2HDhpo3b94j2d7T7tq1axo4cOBj+bf5NAoPD5e3t7ejw0ix9evXa+DAgYqKinJ0KCmSVuc+AADgHO7sj1ksFnl4eCgwMFChoaH64osvdPXq1XsuX7FiRVksFn377bf3rPcwfYa8efMmirFQoULq1auXIiMjU9XeR+nixYtq1qyZPD099fXXX2vatGny8vJKVC+1/YFVq1bZtd/V1VX+/v56/fXXtW/fvgeO91FeFz4N/WQAcHbpHB0AAABAWpk2bZrd9A8//KClS5cmKi9atOhjiadu3bpq1aqVXVnZsmVTvLyHh4dmzpypatWq2ZWvXr1aJ0+elLu7e5rEmWDYsGF6/fXX1bhxY7vyt956S82bN0/R9q5fv65XX31VixcvVo0aNdS3b1/5+vrq2LFj+umnnzR16lSdOHFCuXLlStPYU+vvv//WoEGDVLNmzTQfoTBgwAANHjxYhQoV0ttvv62goCBdvHhRv//+u1577TXNmDFDLVu2TNNtPu2uXbumQYMGSbo9kv1OH3/8sT788EMHRIUHtX79eg0aNEjh4eHKnDmzo8O5r+TOfQAA4Nk2ePBg5cuXTzdv3tSZM2e0atUqde/eXaNGjdKvv/6qUqVKJVrm4MGD2rx5s/LmzasZM2aoU6dOSa47LfoMZcqUUc+ePSVJN27c0NatWzVmzBitXr1amzZtevgvIA1s3rxZV69e1ZAhQ1SnTh1b+cSJE2W1Wm3T9+oP3EvXrl313HPP6ebNm9q1a5fGjRunVatWac+ePQoICEh1vI/quvBp6Sc/SvTrADwJSIoDAACn8eabb9pN//XXX1q6dGmi8selcOHCD7Xtl19+WT///LO++OILpUv3v8u2mTNnqnz58rpw4UJahHlfrq6ucnV1TVHdXr16afHixRo9erS6d+9uN2/AgAEaPXr0I4jwyTFnzhwNHjxYr7/+umbOnKn06dPb5vXq1Ut//PGHbt686cAIH49bt27JarXKzc3todeVLl06u+MfAAAAeBxeeuklVahQwTbdp08frVixQg0aNFCjRo20b98+eXp62i0zffp0+fv7KyIiQq+//rqOHTuW6CbctOoz5MyZ066/2b59e3l7e+vzzz/XwYMHVahQoQdsedo5d+6cJCW6UfLONj+M6tWr6/XXX7dNBwcHq1OnTvrhhx/Uu3fvNNlGWniW+8kxMTHy8vKiXwfgicDj0wEAwDMlJiZGPXv2VO7cueXu7q7g4GB9/vnnMsbY1bNYLOrSpYtmzJih4OBgeXh4qHz58lqzZk2qtnf9+nXduHHjgWJt0aKFLl68qKVLl9rK4uLiNGfOnCRHDSQ8Qu7uR84dO3ZMFotFU6ZMSXZbFotFMTExmjp1qu0RdOHh4ZJS/v7qkydPavz48apbt26ijr50O7n+wQcf2N39vn37dr300kvKlCmTvL29Vbt2bf311192yyX37rGk4sqbN68aNGigtWvXqmLFivLw8FD+/Pn1ww8/2C3XtGlTSdILL7xg91j91q1bK1u2bEn+CPXiiy8qODj4nt9Bv3795Ovrq0mTJiX5Q09oaKjdI+/PnTundu3aKXv27PLw8FDp0qU1derUe24jOQsWLFD9+vUVGBgod3d3FShQQEOGDFF8fHyS9bdu3aoqVarI09NT+fLl07hx4xLVSUl8CcfX559/rjFjxqhAgQJyd3fX33//rbi4OPXv31/ly5eXj4+PvLy8VL16da1cudJueT8/P0nSoEGDbPsj4R3qSe3/W7duaciQIbZt5c2bV3379lVsbKxdvZQcD5J08+ZNDRo0SIUKFZKHh4eyZs2qatWq2f3bu5dr167p7bffVtasWZUpUya1atVKly5dss1/2OMqKSlp25YtW2SxWJI8pv744w9ZLBYtXLjQVvbvv/+qbdu2yp49u9zd3VW8eHFNmjQp0bJffvmlihcvrgwZMihLliyqUKGCZs6cKen2/urVq5ckKV++fLb9mfDvNOHc+vPPP6tYsWLy9PRU5cqVtXv3bknS+PHjVbBgQXl4eKhmzZpJnnc2btyoevXqycfHRxkyZFBISIjWrVtnVyfhuDl06JBtxLqPj4/atGmja9eu2erd69wHAABwt1q1aqlfv346fvy4pk+fnmj+zJkz9frrr6tBgwby8fGxXSPdKbV9htRIGB19d/Jx//79ev311+Xr6ysPDw9VqFBBv/76q12dhP7VunXr1KNHD/n5+cnLy0tNmjTR+fPnE21r0aJFql69ury8vJQxY0bVr19fe/futc2vWbOmWrduLUl67rnn7K6z7nyn+P36A6lRvXp1SdLhw4ftyj///HNVqVJFWbNmlaenp8qXL685c+bY1bnfdWFKr5Xv9qj6yQn7a+3ateratav8/PyUOXNmvf3224qLi1NUVJRatWqlLFmyKEuWLOrdu7fd7x539uNGjx6toKAgeXp6KiQkRHv27LHb1q5duxQeHq78+fPLw8NDAQEBatu2rS5evGhXL+Ea/O+//1bLli2VJUsW25PvkurXLV26VNWqVVPmzJnl7e2t4OBg9e3b165OavukEyZMsPUTn3vuOW3evPk+ewjAs4SkOAAAeGYYY9SoUSONHj1a9erV06hRoxQcHKxevXqpR48eieqvXr1a3bt315tvvqnBgwfr4sWLqlevXqIOYnKmTJkiLy8veXp6qlixYkn+IHIvefPmVeXKlfXjjz/ayhYtWqTLly+refPmqVrX/UybNk3u7u6qXr26pk2bpmnTpuntt99O1ToWLVqkW7du6a233kpR/b1796p69erauXOnevfurX79+uno0aOqWbOmNm7c+CDNkCQdOnRIr7/+uurWrauIiAhlyZJF4eHhth9oatSooa5du0qS+vbta2tv0aJF9dZbb+nixYv6448/7NZ55swZrVix4p4j/w8ePKj9+/ercePGypgx433jvH79umrWrKlp06bpjTfe0MiRI+Xj46Pw8HCNHTs21e2eMmWKvL291aNHD40dO1bly5dX//79k3xE3aVLl/Tyyy+rfPnyGjFihHLlyqVOnTrZ/aiT2vgmT56sL7/8Uh07dlRERIR8fX115coVfffdd6pZs6Y+++wzDRw4UOfPn1doaKh27NghSfLz87O9b7FJkya2/fHqq68m29b27durf//+KleunEaPHq2QkBANHz48yX8X9zsepNs/0AwaNEgvvPCCvvrqK3300UfKkyePtm3blqLvvkuXLtq3b58GDhyoVq1aacaMGWrcuLHtR6eHOa7u5X5tq1ChgvLnz6+ffvop0bKzZ89WlixZFBoaKkk6e/asnn/+eS1btkxdunTR2LFjVbBgQbVr105jxoyxLTdx4kR17dpVxYoV05gxYzRo0CCVKVPG9m/21VdfVYsWLSRJo0ePtu3PhB86JenPP/9Uz5491bp1aw0cOFD79u1TgwYN9PXXX+uLL77Qu+++q169emnDhg1q27atXdwrVqxQjRo1dOXKFQ0YMEDDhg1TVFSUatWqleRjQps1a6arV69q+PDhatasmaZMmWJ7NKeUNuc+AADwbEno7yxZssSufOPGjTp06JBatGghNzc3vfrqq5oxY4ZdndT2Ge7l5s2bunDhgi5cuKCTJ0/qv//9r0aNGqUaNWooX758tnp79+7V888/r3379unDDz9URESEvLy81LhxY/3yyy+J1vvee+9p586dGjBggDp16qT//ve/6tKli12dadOmqX79+vL29tZnn32mfv366e+//1a1atVsNzV+9NFH6tixo6Tbj6JP7jrrQfoDyUnYdpYsWezKx44dq7Jly2rw4MEaNmyY0qVLp6ZNm+q3336za1Ny14UpvVZOyqPuJ7/33ns6ePCgBg0apEaNGmnChAnq16+fGjZsqPj4eA0bNkzVqlXTyJEjE71aTrr92rkvvvhCnTt3Vp8+fbRnzx7VqlVLZ8+etdVZunSpjhw5ojZt2ujLL79U8+bNNWvWLL388suJBhhIUtOmTXXt2jUNGzZMHTp0SLadDRo0UGxsrAYPHqyIiAg1atTI7mbX1PZJZ86cqZEjR+rtt9/W0KFDdezYMb366qvPxNPaAKSQAQAAcFKdO3c2d17uzJ8/30gyQ4cOtav3+uuvG4vFYg4dOmQrk2QkmS1bttjKjh8/bjw8PEyTJk3uu+0qVaqYMWPGmAULFphvv/3WlChRwkgy33zzzX2XnTx5spFkNm/ebL766iuTMWNGc+3aNWOMMU2bNjUvvPCCMcaYoKAgU79+fdtyK1euNJLMypUr7dZ39OhRI8lMnjzZVjZgwABz96Wgl5eXad26dbLxHD169J5xv//++0aS2b59+33baIwxjRs3Nm5ububw4cO2slOnTpmMGTOaGjVq3DPW5OIKCgoyksyaNWtsZefOnTPu7u6mZ8+etrKff/45ye8qPj7e5MqVy4SFhdmVjxo1ylgsFnPkyJFk27NgwQIjyYwePfp+TTfGGDNmzBgjyUyfPt1WFhcXZypXrmy8vb3NlStXbOWSzIABA+7Z9oRj5E5vv/22yZAhg7lx44atLCQkxEgyERERtrLY2FhTpkwZ4+/vb+Li4lIVX8LxlSlTJnPu3Dm77d+6dcvExsbalV26dMlkz57dtG3b1lZ2/vz5RG1McPf+37Fjh5Fk2rdvb1fvgw8+MJLMihUrbGUpPR5Kly5t928ppRL2Q/ny5W3fmzHGjBgxwkgyCxYsMMY83HFljDGtW7c2Xl5edmUpbVufPn1M+vTpTWRkpK0sNjbWZM6c2W4ftGvXzuTIkcNcuHDBbjvNmzc3Pj4+tuPrlVdeMcWLF79nvCNHjkz2nCHJuLu7280bP368kWQCAgLsjvs+ffrYrcdqtZpChQqZ0NBQY7VabfWuXbtm8uXLZ+rWrWsrSzhu7myjMcY0adLEZM2a1a4suXMfAAB4Nt3ZH0uOj4+PKVu2rF1Zly5dTO7cuW3XKUuWLEnUP0ptnyE5CdeCd3+qVq2a6Hqudu3apmTJknZ9AqvVaqpUqWIKFSpkK0tod506deyutd5//33j6upqoqKijDHGXL161WTOnNl06NDBbjtnzpwxPj4+duXJfZetW7c2QUFBtul79QeSktD3nTRpkjl//rw5deqUWbx4sSlYsKCxWCxm06ZNdvXv7ivFxcWZEiVKmFq1atmVJ3ddmNJr5aQ8qn5ywnd797Vx5cqVjcViMe+8846t7NatWyZXrlwmJCTEVpbQj/P09DQnT560lW/cuNFIMu+//76tLKn2/fjjj4n6IwnX4C1atEhU/+5+3ejRo40kc/78+WS/i9T2SbNmzWrX70n49/bf//432W0AeLYwUhwAADwzfv/9d7m6utpGCSfo2bOnjDFatGiRXXnlypVVvnx523SePHn0yiuv6I8//kj2kdQJ1q1bp27duqlRo0Z65513tHXrVpUoUUJ9+/bV9evXUxxzs2bNdP36dS1cuFBXr17VwoULk3x0+pPgypUrkpSiEQ/x8fFasmSJGjdurPz589vKc+TIoZYtW2rt2rW29aVWsWLFbI/Nk26PPAgODtaRI0fuu6yLi4veeOMN/frrr7p69aqtfMaMGapSpYrdiIu7pab90u3jMSAgwDaqVrr9br2uXbsqOjpaq1evTtF6Etz5PsOrV6/qwoULql69uq5du6b9+/fb1U2XLp3dKA03Nze9/fbbOnfunLZu3fpA8b322mt2o4Gl248CTHivuNVqVWRkpG7duqUKFSqkeBT23X7//XdJSvR0h549e0qS3WgPKWXHQ+bMmbV3714dPHjwgWLq2LGj3aMvO3XqpHTp0tlifZjj6l5S0rawsDDdvHlT8+bNs5UtWbJEUVFRCgsLk3T7KRpz585Vw4YNZYyxjTi6cOGCQkNDdfnyZdv+ypw5s06ePPlQjyGsXbu23bs1K1WqJOn2MXTnv5+E8oT27NixQwcPHlTLli118eJFW4wxMTGqXbu21qxZI6vVaretd955x266evXqunjx4gOfXwAAACTJ29vb7rru1q1bmj17tsLCwmyPiK5Vq5b8/f3tRounts9wL5UqVdLSpUu1dOlSLVy4UJ988on27t2rRo0a2fqckZGRWrFihe3pOQnXTxcvXlRoaKgOHjyof//91269HTt2tHvMdfXq1RUfH6/jx49Luj1qOCoqSi1atLC7bnR1dVWlSpXsXpX0qLVt21Z+fn4KDAxUvXr1dPnyZU2bNk3PPfecXb07+0qXLl3S5cuXVb169RT1SVJzrZyUR91Pbteund3+qlSpkowxateuna3M1dVVFSpUSLJP3LhxY+XMmdM2XbFiRVWqVMnWl5Hsv78bN27owoULev755yUpybbffQ2elIT3zC9YsCDRNXyC1PZJw8LC7J4SkNBXSslvAQCeDSTFAQDAM+P48eMKDAxM1BktWrSobf6dChUqlGgdhQsX1rVr15J8p9q9uLm5qUuXLoqKirIlHVPCz89PderU0cyZMzVv3jzFx8fr9ddfT9W209rly5d15swZ2ycyMlKSlClTJkmy+3EoOefPn9e1a9eSfJdy0aJFZbVa9X//938PFF+ePHkSlWXJksXuHc/30qpVK12/ft32KMEDBw5o69at933cXWraL90+3goVKiQXF/tL8uSOx/vZu3evmjRpIh8fH2XKlEl+fn62x3JfvnzZrm5gYKC8vLzsygoXLizpf48cTG18ySV2p06dqlKlStne1e3n56fffvstUUwpdfz4cbm4uKhgwYJ25QEBAcqcOXOiuFJyPAwePFhRUVEqXLiwSpYsqV69emnXrl0pjunuc4W3t7dy5Mhh9z7sBz2u7iUlbStdurSKFCmi2bNn28pmz56tbNmyqVatWpJu/3uMiorShAkT5OfnZ/dp06aNpNvv8pOk//znP/L29lbFihVVqFAhde7cOdH7vFMbt4+PjyQpd+7cSZYntCfhpoXWrVsnivO7775TbGxsouPq7m0l/EiW0vMBAABAUqKjo+36lUuWLNH58+dVsWJFHTp0SIcOHdLRo0f1wgsv6Mcff7Ql/VLbZ7iXbNmyqU6dOqpTp47q16+vvn376rvvvtP69ev13XffSbr9uh1jjPr165fo+mnAgAGS/nedl+B+108J12S1atVKtM4lS5YkWt+j1L9/fy1dulS//PKLWrVqpcuXLyfqv0jSwoUL9fzzz8vDw0O+vr62R7anpE+SmmvlpDzqfnJqrq2TugZO7nePO/sykZGR6tatm7Jnzy5PT0/5+fnZ+n9JfYcpuek3LCxMVatWVfv27ZU9e3Y1b95cP/30k12CPLV9Uq79AdxPOkcHAAAA8KxI6JQmJJFTqmXLlurQoYPOnDmjl156yXZH9d3uvDv8Tvcb1Z5a3bp109SpU23TISEhWrVqlYoUKSJJ2r17t8qUKZNm20ttu1xdXZMsN0m86ywpxYoVU/ny5TV9+nS1atVK06dPl5ubm5o1a3bP5e5s/+MWFRWlkJAQZcqUSYMHD1aBAgXk4eGhbdu26T//+U+yd96npTtHDySYPn26wsPD1bhxY/Xq1Uv+/v5ydXXV8OHDdfjw4YfaXnLHxd1ScjzUqFFDhw8f1oIFC7RkyRJ99913Gj16tMaNG6f27ds/VJwJHvS4upeUHuthYWH65JNPdOHCBWXMmFG//vqrWrRooXTpbncHE46PN998U61bt05ynaVKlZJ0+weoAwcOaOHChVq8eLHmzp2rb775Rv3797d7V/eDxH2/9iTEOXLkyGTPMd7e3qlaJwAAQGqdPHlSly9ftrtJM2E0eHLXdqtXr9YLL7zwyPsMtWvXliStWbNG7733nu366YMPPlBoaGiSy9x9s2lKr8mmTZumgICARPUSrjEfh5IlS6pOnTqSbo94vnbtmjp06KBq1arZ+t9//vmnGjVqpBo1auibb75Rjhw5lD59ek2ePFkzZ8687zZSc62clEfVT06QmmvrB70GbtasmdavX69evXqpTJky8vb2ltVqVb169ZLsaybVN0yqzpo1a7Ry5Ur99ttvWrx4sWbPnq1atWppyZIlybbrXrj2B3A/JMUBAMAzIygoSMuWLdPVq1ft7upPeLR0UFCQXf2kHqX8zz//KEOGDIkeE50SCY/sSu2yTZo00dtvv62//vrLbrTn3RLugo6KirIrT+mI45QmGXv37m0bgXzndl966SW5urpq+vTp9x396ufnpwwZMujAgQOJ5u3fv18uLi62HzHubNedNwSkdiT1ne7X1latWqlHjx46ffq0Zs6cqfr169s9hi0phQsXVnBwsBYsWKCxY8cmSs7dLSgoSLt27ZLVarW78z254/FeVq1apYsXL2revHmqUaOGrfzo0aNJ1j916pRiYmLsRov/888/kmR7rHVaxDdnzhzlz59f8+bNs/vOE0alJEjpsZewXavVqoMHD9pGCEjS2bNnFRUVlarv7U6+vr5q06aN2rRpo+joaNWoUUMDBw5MUVL84MGDeuGFF2zT0dHROn36tF5++WW7eg9yXKWFsLAwDRo0SHPnzlX27Nl15coVNW/e3Dbfz89PGTNmVHx8vO1HxXvx8vJSWFiYwsLCFBcXp1dffVWffPKJ+vTpIw8Pj1Ttz9QoUKCApNujbVISZ0o9qngBAIBzmjZtmiTZkswxMTFasGCBwsLCknyqV9euXTVjxgy98MILqe4zpNatW7ck3b4elWR7BHf69OnT7Pop4ZrM398/zdaZVtdjn376qX755Rd98sknGjdunCRp7ty58vDw0B9//CF3d3db3cmTJ6cojtReK9/tUfWT00pyv3sk9AsvXbqk5cuXa9CgQerfv/89l0stFxcX1a5dW7Vr19aoUaM0bNgwffTRR1q5cqXq1KmTpn1mAJB4fDoAAHiGvPzyy4qPj9dXX31lVz569GhZLBa99NJLduUbNmywez/W//3f/2nBggV68cUX73nXclKPVr969arGjBmjbNmy2b2nPCW8vb317bffauDAgWrYsGGy9YKCguTq6qo1a9bYlX/zzTcp2o6Xl1eihHpSihUrZntMX506dWztyZ07tzp06KAlS5boyy+/TLSc1WpVRESETp48KVdXV7344otasGCB3WPZzp49q5kzZ6patWq2x8wl/OhyZ7tiYmLsRqunVkIyOLn2tmjRQhaLRd26ddORI0fsbgK4l0GDBunixYtq37697QepOy1ZskQLFy6UdPt4PHPmjN2NDrdu3dKXX34pb29vhYSEpLg9CcfjnXfAx8XFJbvvb926pfHjx9vVHT9+vPz8/Gz7My3iSyqujRs3asOGDXb1MmTIICn5/XGnhETzmDFj7MpHjRolSapfv/5913G3ixcv2k17e3urYMGCio2NTdHyEyZM0M2bN23T3377rW7dupXonPKgx9XDKlq0qEqWLKnZs2dr9uzZypEjh93NE66urnrttdc0d+5c7dmzJ9Hyd57T7v6u3NzcVKxYMRljbN/B/f59Pajy5curQIEC+vzzz20/9CYXZ2qk9NwHAACwYsUKDRkyRPny5dMbb7whSfrll18UExOjzp076/XXX0/0adCggebOnWu7tkxNnyG1/vvf/0q6/Qod6XbiumbNmho/frxOnz6dqP6DXD+FhoYqU6ZMGjZsmN018MOsMzX9gXspUKCAXnvtNU2ZMkVnzpyRdPta12Kx2D1p7NixY5o/f36i5ZO6LkzNtXJSHlU/Oa3Mnz/f7r3ymzZt0saNG219maT6dFLi/lhqJfUEvYSR9An/VtKyzwwAEiPFAQDAM6Rhw4Z64YUX9NFHH+nYsWMqXbq0lixZogULFqh79+625GuCEiVKKDQ0VF27dpW7u7stwXi/RwR//fXXmj9/vho2bKg8efLo9OnTmjRpkk6cOKFp06bJzc0t1bEn95i2O/n4+Khp06b68ssvZbFYVKBAAS1cuDDF73QrX768li1bplGjRikwMFD58uVTpUqVUhVnRESEDh8+rK5du2revHlq0KCBsmTJohMnTujnn3/W/v37bSNUhw4dqqVLl6patWp69913lS5dOo0fP16xsbEaMWKEbZ0vvvii8uTJo3bt2qlXr15ydXXVpEmT5OfnpxMnTqQqvgRlypSRq6urPvvsM12+fFnu7u6qVauW/P39Jd2+Q79evXr6+eeflTlz5hQnWsPCwrR792598skn2r59u1q0aKGgoCBdvHhRixcv1vLly22P6OvYsaPGjx+v8PBwbd26VXnz5tWcOXO0bt06jRkzxu5pBvdTpUoVZcmSRa1bt1bXrl1lsVg0bdq0ZB8TFxgYqM8++0zHjh1T4cKFNXv2bO3YsUMTJkxQ+vTp0yy+Bg0aaN68eWrSpInq16+vo0ePaty4cSpWrJhdUtPT01PFihXT7NmzVbhwYfn6+qpEiRIqUaJEonWWLl1arVu31oQJE2yPjd+0aZOmTp2qxo0b243YTqlixYqpZs2aKl++vHx9fbVlyxbNmTNHXbp0SdHycXFxql27tpo1a6YDBw7om2++UbVq1dSoUSO7eg96XKWFsLAw9e/fXx4eHmrXrl2i9/J9+umnWrlypSpVqqQOHTqoWLFiioyM1LZt27Rs2TLbj1YvvviiAgICVLVqVWXPnl379u3TV199pfr169uOiYQbKz766CM1b95c6dOnV8OGDRO9xz61XFxc9N133+mll15S8eLF1aZNG+XMmVP//vuvVq5cqUyZMtl+CE6NtDj3AQAA57No0SLt379ft27d0tmzZ7VixQotXbpUQUFB+vXXX+Xh4SHp9qPTs2bNqipVqiS5nkaNGmnixIn67bff9Oqrr6aqz3Av//77r6ZPny7p9vXozp07NX78eGXLlk3vvfeerd7XX3+tatWqqWTJkurQoYPy58+vs2fPasOGDTp58qR27tyZqu8lU6ZM+vbbb/XWW2+pXLlyat68ua1v9ttvv6lq1aqJbkS/n9T0B+6nV69e+umnnzRmzBh9+umnql+/vkaNGqV69eqpZcuWOnfunL7++msVLFhQu3btsls2uevClF4rJ+dR9JPTSsGCBVWtWjV16tRJsbGxGjNmjLJmzarevXtLur2/a9SooREjRujmzZvKmTOnlixZkuxTyVJq8ODBWrNmjerXr6+goCCdO3dO33zzjXLlyqVq1apJSts+MwBIkgwAAICT6ty5s7n7cufq1avm/fffN4GBgSZ9+vSmUKFCZuTIkcZqtdrVk2Q6d+5spk+fbgoVKmTc3d1N2bJlzcqVK++73SVLlpi6deuagIAAkz59epM5c2bz4osvmuXLl6co7smTJxtJZvPmzfesFxQUZOrXr29Xdv78efPaa6+ZDBkymCxZspi3337b7Nmzx0gykydPttUbMGBAou9m//79pkaNGsbT09NIMq1bt7aL5+jRoymK/9atW+a7774z1atXNz4+PiZ9+vQmKCjItGnTxmzfvt2u7rZt20xoaKjx9vY2GTJkMC+88IJZv359onVu3brVVKpUybi5uZk8efKYUaNGJRlXUt+JMcaEhISYkJAQu7KJEyea/PnzG1dXVyMp0b796aefjCTTsWPHFLX7TsuXLzevvPKK8ff3N+nSpTN+fn6mYcOGZsGCBXb1zp49a9q0aWOyZctm3NzcTMmSJe32UwJJZsCAAbbppNq+bt068/zzzxtPT08TGBhoevfubf74449EbQsJCTHFixc3W7ZsMZUrVzYeHh4mKCjIfPXVV4m2m5L4jh49aiSZkSNHJlrearWaYcOGmaCgINu/oYULF5rWrVuboKAgu7rr16835cuXN25ubnbtTepYvXnzphk0aJDJly+fSZ8+vcmdO7fp06ePuXHjhl29lB4PQ4cONRUrVjSZM2c2np6epkiRIuaTTz4xcXFxiZa9U8J+WL16tenYsaPJkiWL8fb2Nm+88Ya5ePFikss8yHHVunVr4+Xl9UBtS3Dw4EEjyUgya9euTXI7Z8+eNZ07dza5c+c26dOnNwEBAaZ27dpmwoQJtjrjx483NWrUMFmzZjXu7u6mQIECplevXuby5ct26xoyZIjJmTOncXFxsTtWE86td0ruGFq5cqWRZH7++We78u3bt5tXX33VFkNQUJBp1qyZ3Tk24bg5f/683bJJ/dtJ7twHAACeTQnXCwkfNzc3ExAQYOrWrWvGjh1rrly5Yqt79uxZky5dOvPWW28lu75r166ZDBkymCZNmtiVp7TPkJSgoCC7GF1cXIy/v79p0aKFOXToUKL6hw8fNq1atbL1UXPmzGkaNGhg5syZk6jdd/dDE67J7u4vrVy50oSGhhofHx/j4eFhChQoYMLDw82WLVvuu87U9AeSktx1YoKaNWuaTJkymaioKGOMMd9//72tX1+kSBEzefLkVPWJjUnZtfK9pHU/ObnvNrnr4Lv7FHdeg0dERJjcuXMbd3d3U716dbNz5067ZU+ePGmaNGliMmfObHx8fEzTpk3NqVOnEu2n5LZ957wECcd/YGCgcXNzM4GBgaZFixbmn3/+sVvuYfuk9zuWADxbLMYkM3wEAADgGWaxWNS5c+dU3+EO57FgwQI1btxYa9asUfXq1R0dDpwExxUAAAAARzt27Jjy5cunkSNH6oMPPnB0OADwWPBOcQAAACAJEydOVP78+W2PbgPSAscVAAAAAADA48c7xQEAAIA7zJo1S7t27dJvv/2msWPHymKxODokOAGOKwAAAAAAAMchKQ4AAADcoUWLFvL29la7du307rvvOjocOAmOKwAAAAAAAMfhneIAAAAAAAAAAAAAAKfFO8UBAAAAAAAAAAAAAE6Lx6cDAO7pwoUL+uOPP5Q3b155eno6OhwAAAAAkq5fv65jx44pNDRU2bJlc3Q4ae7rr7/WyJEjdebMGZUuXVpffvmlKlasmGTdefPmadiwYTp06JBu3rypQoUKqWfPnnrrrbdsdcLDwzV16lS75UJDQ7V48eIUx0TfCAAAAHjypLRvRFIcAHBPf/zxh958801HhwEAAAAgCdOnT9cbb7zh6DDS1OzZs9WjRw+NGzdOlSpV0pgxYxQaGqoDBw7I398/UX1fX1999NFHKlKkiNzc3LRw4UK1adNG/v7+Cg0NtdWrV6+eJk+ebJt2d3dPVVz0jQAAAIAn1/36RiTFAQD3lDdvXknStGnTVKxYMccG84yyWq2KjIyUr6+vXFx484kjsA8cj33geOwDx2MfOB77wPHYB/+zb98+vfnmm7brdWcyatQodejQQW3atJEkjRs3Tr/99psmTZqkDz/8MFH9mjVr2k1369ZNU6dO1dq1a+2S4u7u7goICEhxHLGxsYqNjbVN+/n5SbrdNypSpEhqmgQ8FaxWqy5duqQsWbI88+dYAHAmnN/h7Pbv36+33nrrvn0jkuIAgHtKeCxgkSJFVK5cOQdH82yyWq06d+6c/P39uXB1EPaB47EPHI994HjsA8djHzge+yAxZ3uMd1xcnLZu3ao+ffrYylxcXFSnTh1t2LDhvssbY7RixQodOHBAn332md28VatWyd/fX1myZFGtWrU0dOhQZc2aNdl1DR8+XIMGDUpU7u/vr1y5cqWiVcDTwWq1KmPGjPLx8eEcCwBOhPM7nF1kZKSk+/eNSIoDAAAAAADgiXDhwgXFx8cre/bsduXZs2fX/v37k13u8uXLypkzp2JjY+Xq6qpvvvlGdevWtc2vV6+eXn31VeXLl0+HDx9W37599dJLL2nDhg1ydXVNcp19+vRRjx49bNM7duxQSEiIfH19k3yMO/C0s1qtslgs8vPzI2kCAE6E8zucna+vb4rqkRQHAAAAAADAUy1jxozasWOHoqOjtXz5cvXo0UP58+e3PVq9efPmtrolS5ZUqVKlVKBAAa1atUq1a9dOcp3u7u527x339vaWdHvkOj8ow1lZLBaOcQBwQpzf4cxSelyTFAcAAAAAAMATIVu2bHJ1ddXZs2ftys+ePXvP94G7uLioYMGCkqQyZcpo3759Gj58eKL3jSfInz+/smXLpkOHDiWbFAcAAADgPLglBAAAAAAAAE8ENzc3lS9fXsuXL7eVWa1WLV++XJUrV07xeqxWq2JjY5Odf/LkSV28eFE5cuR4qHgBAAAAPB0YKQ4AAAAAAIAnRo8ePdS6dWtVqFBBFStW1JgxYxQTE6M2bdpIklq1aqWcOXNq+PDhkqThw4erQoUKKlCggGJjY/X7779r2rRp+vbbbyVJ0dHRGjRokF577TUFBATo8OHD6t27twoWLKjQ0FCHtRMAAADA40NSHAAAAAAAAE+MsLAwnT9/Xv3799eZM2dUpkwZLV68WNmzZ5cknThxwu69gTExMXr33Xd18uRJeXp6qkiRIpo+fbrCwsIkSa6urtq1a5emTp2qqKgoBQYG6sUXX9SQIUPs3hkOAAAAwHmRFAcAAAAAAMATpUuXLurSpUuS81atWmU3PXToUA0dOjTZdXl6euqPP/5Iy/AAAAAAPGV4pzgAAAAAAAAAAAAAwGmRFAcAAAAAAAAAAAAAOC2S4gAAAAAAAAAAAAAAp0VSHAAAAAAAAAAAAADgtEiKAwAAAAAAAAAAAACcFklxAAAAAAAAAAAAAIDTIikOAAAAAAAAAAAAAHBaJMUBAAAAAAAAAAAAAE6LpDgAAAAAAAAAAAAAwGmRFAcAAAAAAAAAAAAAOC2S4gAAAAAAAAAAAAAAp0VSHAAAAAAAAAAAAADgtEiKAwAAAAAAAAAAAACcFklxAAAAAAAAAAAAAIDTSufoAAAAT4dXvlqr9AFnHR3GM8lFRkWzGO27ZJFVFkeH80xiHzge+8Dx2AeOxz5wPPaB4z0J++DYp/Udsl0AAAAAwIMjKQ4AAAAAAAA8ReYdOO3oEOCMjJGio6Qoq2Th5i+knVeDczg6BAAAeHw6AAAAAAAAAAAAAMB5kRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBpkRQHAAAAAAAAAAAAADgtkuIAAAAAAAAAAAAAAKdFUhwAAAAAAAAAAAAA4LRIigMAAAAAAAAAAAAAnBZJcQAAAAAAAAAAAACA0yIpDgAAAAAAAAAAAABwWiTFAQAAAAAAAAAAAABOi6Q4AAAAAAAAAAAAAMBppXlSfNWqVbJYLIqKikrrVaeJmjVrqnv37o4OA3jmHDt2TBaLRTt27HB0KI/ds9x2AAAAAAAAAAAAR3ugpPiGDRvk6uqq+vXrp3U8T624uDiNGDFCpUuXVoYMGZQtWzZVrVpVkydP1s2bN9NsOwMHDlSZMmXSbH3JmTt3rmrWrCkfHx95e3urVKlSGjx4sCIjI9Nk/Xnz5tWYMWPSZF1Jrdtisdh9cuXK9Ui29TgldUPH2LFj5e7urlmzZjkmqDtYLBbNnz/fNn3z5k21aNFCOXPm1J49e5Q7d26dPn1aJUqUcFyQSQgPD5fFYtE777yTaF7nzp1lsVgUHh7++AMDAAAAAAAAAABAmnigpPj333+v9957T2vWrNGpU6fSOqanTlxcnEJDQ/Xpp5+qY8eOWr9+vTZt2qTOnTvryy+/1N69ex97TA+TiP/oo48UFham5557TosWLdKePXsUERGhnTt3atq0aWkY5aMzePBgnT592vbZvn17kvXS8oaFx23AgAHq27evFixYoObNmz/QOh5V+69du6ZGjRpp8+bNWrt2rUqUKCFXV1cFBAQoXbp0j2SbDyN37tyaNWuWrl+/biu7ceOGZs6cqTx58jgwsv+Ji4tzdAgAAAAAAAAAAABPpVQnxaOjozV79mx16tRJ9evX15QpU+5Z/+LFi7bRohkyZFDJkiX1448/2tWpWbOm3nvvPXXv3l1ZsmRR9uzZNXHiRMXExKhNmzbKmDGjChYsqEWLFtktt2fPHr300kvy9vZW9uzZ9dZbb+nChQu2+TExMWrVqpW8vb2VI0cORUREJIpv2rRpqlChgjJmzKiAgAC1bNlS586dS9V3MmbMGK1Zs0bLly9X586dVaZMGeXPn18tW7bUxo0bVahQIUlSbGysunbtKn9/f3l4eKhatWravHmzbT0Jj55fvny5KlSooAwZMqhKlSo6cOCAJGnKlCkaNGiQdu7caRsBnfD9WywWffvtt2rUqJG8vLz0ySefKD4+Xu3atVO+fPnk6emp4OBgjR079p5t2bRpk4YNG6aIiAiNHDlSVapUUd68eVW3bl3NnTtXrVu3ttX99ttvVaBAAbm5uSk4ONguYW6M0cCBA5UnTx65u7srMDBQXbt2lXR7fx8/flzvv/++rR1Syo6VlErYnwkfPz+/ZL8nSVqwYIHKlSsnDw8P5c+fX4MGDdKtW7fu2xbp9sj0YcOGqW3btsqYMaPy5MmjCRMm2MWze/du1apVS56ensqaNas6duyo6OjoB2qbMUbvvfeevvjiCy1dulT16tWzzfvuu+9UtGhReXh4qEiRIvrmm29s8xIe4T179myFhITIw8NDM2bMUHh4uBo3bqzPP/9cOXLkUNasWdW5c+cHTphHRUWpbt26OnXqlNauXat8+fLZbT/hEeL3O94TDB06VP7+/sqYMaPat2+vDz/80O5pCatWrVLFihXl5eWlzJkzq2rVqjp+/HiqYi5Xrpxy586tefPm2crmzZunPHnyqGzZsnZ1Fy9erGrVqilz5szKmjWrGjRooMOHD9vV2bRpk8qWLSsPDw9VqFAhyZsy7nf+qlmzprp06aLu3bsrW7ZsCg0NlSSNGjVKJUuWlJeXl3Lnzq133333gY+l5MTGxurKlSu2T8L6XSS5yPBx0MfyBMTwrH/YB47/sA8c/2EfOP7DPnD8h33g+I+j94HVan1iPgAAAACAlEn1kM2ffvpJRYoUUXBwsN588011795dffr0sSU273bjxg2VL19e//nPf5QpUyb99ttveuutt1SgQAFVrFjRVm/q1Knq3bu3Nm3aZEu6//LLL2rSpIn69u2r0aNH66233tKJEyeUIUMGRUVFqVatWmrfvr1Gjx6t69ev6z//+Y+aNWumFStWSJJ69eql1atXa8GCBfL391ffvn21bds2u4TazZs3NWTIEAUHB+vcuXPq0aOHwsPD9fvvv6f4O5kxY4bq1KmTKHkmSenTp1f69OklSb1799bcuXM1depUBQUFacSIEQoNDdWhQ4fk6+trW+ajjz5SRESE/Pz89M4776ht27Zat26dwsLCtGfPHi1evFjLli2TJPn4+NiWGzhwoD799FONGTNG6dKlk9VqVa5cufTzzz8ra9asWr9+vTp27KgcOXKoWbNmybbF29tb7777bpLzM2fOLEn65Zdf1K1bN40ZM0Z16tTRwoUL1aZNG+XKlUsvvPCC5s6dq9GjR2vWrFkqXry4zpw5o507d0q6nWwsXbq0OnbsqA4dOtjWndJj5WHd/T39+eefatWqlb744gtVr15dhw8fVseOHSXdHo19r7YkiIiI0JAhQ9S3b1/NmTNHnTp1UkhIiIKDgxUTE6PQ0FBVrlxZmzdv1rlz59S+fXt16dLlvjeV3O3WrVt68803tWLFCq1evVqlSpWyzZsxY4b69++vr776SmXLltX27dvVoUMHeXl52d3M8OGHHyoiIsKWtF21apVWrlypHDlyaOXKlTp06JDCwsJUpkwZu/2TEmfOnFFISIi8vb21evVq2/FyL8kd7wlt+uSTT/TNN9+oatWqmjVrliIiImyJ9lu3bqlx48bq0KGDfvzxR8XFxWnTpk3Jno/upW3btpo8ebLeeOMNSdKkSZPUpk0brVq1yq5eTEyMevTooVKlSik6Olr9+/dXkyZNtGPHDrm4uCg6OloNGjRQ3bp1NX36dB09elTdunWzW0dKzl/S7fNip06dbN+HJLm4uOiLL75Qvnz5dOTIEb377rvq3bu33Q0QD2v48OEaNGhQovJ8maSMWUyabQcp5yIpl7dkkWQV+8AR2AeOxz5wPPaB47EPHI994HhPwj5I7Y30j0pavd4MAAAAAJ4FFmNMqnqRVatWVbNmzdStWzfdunVLOXLk0M8//6yaNWtKuj1q84UXXtClS5eSTYg1aNBARYoU0eeffy7p9ojI+Ph4/fnnn5Kk+Ph4+fj46NVXX9UPP/wg6XayLUeOHNqwYYOef/55DR06VH/++af++OMP23pPnjyp3Llz68CBAwoMDFTWrFk1ffp0NW3aVNLtDmOuXLnUsWPHZN9nvWXLFj333HO6evWqvL29U/SdZMiQQR06dLjnKOyYmBhlyZJFU6ZMUcuWLSXdTsjnzZtX3bt3V69evWzf3bJly1S7dm1J0u+//6769evr+vXr8vDw0MCBAzV//nzbaNsEFotF3bt31+jRo+8Za5cuXXTmzBnNmTMnyfkvv/yy/v3330RJ37tVrVpVxYsXtxsR3axZM8XExOi3337TqFGjNH78eO3Zs8d2U8CdEtp99zuy73b3sZISefPm1enTp+22O2zYMHXt2jXJ76lOnTqqXbu2+vTpYyubPn26evfurVOnTqWoLdWrV7eNlDfGKCAgQIMGDdI777yjiRMn6j//+Y/+7//+T15eXpJu79eGDRvq1KlTyp49e4raVbNmTW3YsEGStHPnThUpUsRufsGCBTVkyBC1aNHCVjZ06FD9/vvvWr9+vY4dO6Z8+fJpzJgxdkna8PBwrVq1SocPH5arq6uk2/vSxcUlVe8qt1gscnNzU/78+bV161ZlyJDBbn7C9rdv364yZcqk6Hh//vnnVaFCBX311Ve29VSrVk3R0dHasWOHIiMjlTVrVq1atUohISEpjvVO4eHhioqK0sSJE23nD0kqUqSI/u///k/t27dX5syZk72B4cKFC/Lz89Pu3btVokQJTZgwQX379tXJkyfl4eEhSRo3bpw6depka/v9zl+FCxdWzZo1deXKFW3btu2e8c+ZM0fvvPOO3SjzhxUbG6vY2Fjb9I4dOxQSEqJcrUcrfUDBNNsOUs5FRkWyGO2/ZJFVqb/pAw+PfeB47APHYx84HvvA8dgHjvck7INDw152yHbvtm3bNj333HPaunWrypUr5+hwngnbtm1T+fLln4jvfN6B0w7dPpyUMVJ0lOSdWXqAAQdAcl4NzuHoEIBnmtVq1blz5+Tv7y8Xlwd6qzLwREvpdXqqRoofOHBAmzZt0i+//HJ74XTpFBYWpu+//96WFL9bfHy8hg0bpp9++kn//vuv4uLiFBsbmyhhdueIV1dXV2XNmlUlS5a0lSUkDhPuyN65c6dWrlyZZOL68OHDun79uuLi4lSpUiVbua+vr4KDg+3qbt26VQMHDtTOnTt16dIl2+PHTpw4oWLFiqXoe0nJfQWHDx/WzZs3VbVqVVtZ+vTpVbFiRe3bt8+u7p3fRY4cty8Yzp07d993G1eoUCFR2ddff61JkybpxIkTtu/kzpHyD9IWSdq3b59tNHWCqlWr2m4MaNq0qcaMGaP8+fOrXr16evnll9WwYcN7vk86pcdKSvTq1Uvh4eG26WzZstn+/+7vaefOnVq3bp3tUeoJsdy4cUPXrl1LUVvu3GcWi0UBAQG2Y3Xfvn0qXbq0LSEu3f6urFarDhw4kOKkuHQ7Ibxjxw7169dPP/74oy2GmJgYHT58WO3atbMb3X3r1i27pwkk1X5JKl68uC0hLt0+7nbv3p3iuBI0aNBA8+fP1/jx4/X++++naJl7He8HDhxI9NSCihUr2kZT+/r6Kjw8XKGhoapbt67q1KmjZs2a2daTGn5+frZXQhhjVL9+fbvjJsHBgwfVv39/bdy4URcuXLA7Z5QoUUL79u1TqVKlbAlxSapcubLdOu53/ipcuLAkqXz58onmL1u2TMOHD9f+/ft15coV3bp1y3asPsi/laS4u7vL3d3dNp0Qp1Xix18HMrr9/bMPHId94HjsA8djHzge+8Dx2AeO5+h98KT8kPikxAEAAAAAT4NUJcW///573bp1S4GBgbYyY4zc3d311VdfJUq+SdLIkSM1duxYjRkzxvYe3O7duysuLs6u3t0jcC0Wi11ZwuOQExJQ0dHRatiwoT777LNE28yRI4cOHTp03/YkPNY6NDRUM2bMkJ+fn06cOKHQ0NBE8d1L4cKFtX///hTXv597tfte7ky6StKsWbP0wQcfKCIiQpUrV1bGjBk1cuRIbdy4Mdl1FC5cWGvXrtXNmzeTHBWdUgkjXpctW6alS5fq3Xff1ciRI7V69epk15vSYyUlsmXLpoIFkx7Revf3FB0drUGDBunVV19NVNfDwyNFbUnq+H0U73crWbKkIiIiVKdOHYWFhWn27NlKly6d7Z3PEydOtLsRRJJdsltK3H4p7eJ/66231KhRI7Vt21bGGPXo0eO+yzzo8Z5g8uTJ6tq1qxYvXqzZs2fr448/1tKlS/X888+nOv62bduqS5cukm7fUJKUhg0bKigoSBMnTlRgYKCsVqtKlCiRquP0fuevBHfvq2PHjqlBgwbq1KmTPvnkE/n6+mrt2rVq166d4uLi0iwpDgAAAAAAAAAA4ExSfFvxrVu39MMPPygiIkI7duywfXbu3KnAwED9+OOPSS63bt06vfLKK3rzzTdVunRp5c+fX//8889DB16uXDnt3btXefPmVcGCBe0+Xl5eKlCggNKnT2+XAL506ZLdtvfv36+LFy/q008/VfXq1VWkSJEHejdYy5YttWzZMm3fvj3RvJs3byomJkYFChSQm5ub3buBb968qc2bN6d4RLokubm5KT4+PkV1161bpypVqujdd99V2bJlVbBgQR0+fPi+bYmOjk72/cRRUVGSpKJFi9q1JWF7d7bF09NTDRs21BdffKFVq1Zpw4YNttHHSbXjUR0r91OuXDkdOHAg0XFUsGBB253392rL/RQtWlQ7d+5UTEyMrWzdunVycXFJ9OSClChTpoyWL1+uNWvWqFmzZrp586ayZ8+uwMBAHTlyJFEbEt6//bi0bt1aU6ZMUe/evVP12PukBAcHa/PmzXZld09LUtmyZdWnTx+tX79eJUqU0MyZMx9oe/Xq1VNcXJxu3ryp0NDQRPMvXryoAwcO6OOPP1bt2rVVtGhRXbp0ya5O0aJFtWvXLt24ccNW9tdff9nVud/5Kzlbt26V1WpVRESEnn/+eRUuXFinTp16oLYCAAAAAAAAAAA8K1KcFF+4cKEuXbqkdu3aqUSJEnaf1157Td9//32SyxUqVEhLly7V+vXrtW/fPr399ts6e/bsQwfeuXNnRUZGqkWLFtq8ebMOHz6sP/74Q23atFF8fLy8vb3Vrl079erVSytWrNCePXsUHh5u93ixPHnyyM3NTV9++aWOHDmiX3/9VUOGDEl1LN27d1fVqlVVu3Ztff3119q5c6eOHDmin376Sc8//7wOHjwoLy8vderUSb169dLixYv1999/q0OHDrp27ZratWuX4m3lzZtXR48e1Y4dO3ThwgW79/7erVChQtqyZYv++OMP/fPPP+rXr1+SCcU7VapUSb1791bPnj3Vu3dvbdiwQcePH9fy5cvVtGlTTZ06VdLtx5NPmTJF3377rQ4ePKhRo0Zp3rx5+uCDDyRJU6ZM0ffff689e/boyJH/x96dx8d09v8ff0+CLIIIieCrYt/XhFgbVBtVW6uttdbGGu42dSO1r0Fj7aalBFXU3Vb1ppRUWrs2GrTEHu6qCCE0QkJmfn/4mTZNEEk4MXk9H4/zeHTOueY6nzPXZBp5z3WdU/r000/l5OSksmXLWq/jxx9/1Llz56z3Qn5U75UHGT9+vJYvX65Jkybpt99+05EjR7R69WqNHTs2U9fyID169JCjo6N69+6tX3/9Vdu2bdOwYcP02muvPdTS6X9Xp04dff/999qxY4c1GJ80aZJCQkK0YMECHTt2TIcOHdLSpUs1Z86cLJ0jO1577TUtW7ZMo0eP1jvvvJPlfoYNG6ZPPvlEy5Yt0/HjxzV16lQdPHjQOqP89OnTCg4Otr5Pv/vuOx0/flzVqlXL0vns7e115MgRHT58ON0Me0kqWrSoihUrpo8//lgnTpzQ999/n242fPfu3WUymRQQEKDDhw9r48aN6b4c8KDPr3upWLGibt26Zf3MWrFihRYuXJimzblz51S1alXt27fPuq9Xr14KDg62Pv7qq6/S3ZMeAAAAAAAAAADAVmU6FP/kk0/UunXrDJdI79y5s37++WcdPHgw3bGxY8eqfv368vf3V4sWLeTp6alOnTplq2hJKlWqlHbu3KnU1FQ999xzqlWrlt544w25urpag+933nlHzZs3V/v27dW6dWs1a9YszT163d3dFRYWprVr16p69eqaMWNGhjNbvby8NHHixHvW4uDgoC1btmjkyJH66KOP1KhRIzVo0EALFizQ8OHDVbNmTUnSjBkz1LlzZ7322muqX7++Tpw4oc2bN6to0aKZvu7OnTurTZs2atmypdzd3e85Q1+SBg4cqJdeekldunSRr6+v4uPj092fOSMzZ87UZ599pr1798rf3181atRQUFCQateurd69e0uSOnXqpPnz5ys0NFQ1atTQRx99pKVLl1rvLe/q6qpFixapadOmql27trZu3apvvvlGxYoVkyRNnjxZMTExqlChgtzd3SVl7r0SFhZmDURzir+/v/773//qu+++U4MGDdSoUSPNnTvXGno/6FoexNnZWZs3b9bly5fVoEEDvfzyy3rmmWf03nvvWdtERETIZDIpJiYm03XXqlVL33//vXbt2qVXXnlFvXr10uLFi7V06VLVqlVLfn5+CgsLy5GZ4hMnTpSXl9dDPadHjx5asWKFgoODM1wmPLN9BAcHa8SIEapfv75Onz6tPn36WO/X7ezsrOjoaHXu3FmVK1fWgAEDNHToUA0cOFDSneXGTSaTIiIiMn3OwoULq3Dhwhkes7Oz0+rVqxUZGamaNWvqzTffTBf6u7i46JtvvtGhQ4dUr149jRkzJt31Z+bzKyN16tTRnDlzNHPmTNWsWVMrV65USEhImja3bt3S0aNHlZSUZN139uxZnT9/3vr46tWrOnr0aKZfEwAAAAAAAAAAgCeZyWKxWIwuIjdLSkpSsWLF9O2331oDXxhnwoQJ+uGHHx4q5HwSLF26VNOnT9fhw4ezdS/3R6V3794ymUwKCwszuhQ9++yz8vT01IoVKx7Ydtu2bXrppZd06tSph/ryCdLav3+/vL29Var3XOX3rGR0OXmSnSyqVtSiI1dMMitnvxiEzGEMjMcYGI8xMB5jYDzGwHi5YQxiZrxgyHn/6e7v6ZGRkapfv77R5eQJuek1//Lo+Qc3Ah6WxSIlJkgurlIOT0pB3vZSlZJGlwDkaWazWXFxcfLw8LjvpCzgSZXZ39PzPcaankjbtm1Tq1atCMRziW+//TbNDGtbsXHjRk2fPj1XBuIWi0URERHasWPHYz93UlKSFi5cKH9/f9nb22vVqlXaunWrtmzZkqnnb9y4UW+//TaBOAAAAAAAAAAAQB5GKP4AL7zwgl54IXd8CxxKc59kW7J27VqjS7gnk8mkM2fOGHbujRs3atq0abp586aqVKmiL774Qq1bt87U87NzP3MAAAAAAAAAAADYBtZJAJBrOTk5aevWrYqPj9f169e1f/9+vfTSS0aXBQAAAAB4xN5//315eXnJ0dFRvr6+9/2S/JdffikfHx+5urqqYMGCqlu3brpbblksFo0fP14lS5aUk5OTWrdurePHjz/qywAAAACQSxCKAwAAAAAAINdYs2aNgoKCNGHCBO3fv1916tSRv7+/4uLiMmzv5uamMWPGaPfu3Tp48KD69u2rvn37avPmzdY2s2bN0oIFC7Rw4ULt3btXBQsWlL+/v27evPm4LgsAAACAgVg+HQAAAAAAALnGnDlzFBAQoL59+0qSFi5cqA0bNmjJkiUaPXp0uvYtWrRI8/hf//qXli1bph07dsjf318Wi0Xz5s3T2LFj1bFjR0nS8uXLVaJECa1bt05du3bNsI7k5GQlJydbHycmJkqSzGazzGZzTlxq1lksxp4ftsli+WsDcpDhn5lAHmc2m2WxWPhZhM3K7HubUBwAAAAAAAC5QkpKiiIjIxUcHGzdZ2dnp9atW2v37t0PfL7FYtH333+vo0ePaubMmZKk06dPKzY2Vq1bt7a2K1KkiHx9fbV79+57huIhISGaNGlSuv2XL1++56z1xyYxwdjzw3bdvC6ZTEZXARsTF8eCtYCRzGazrl69KovFIjs7fh5hey5fvpypdoTiAAAAAAAAyBUuXbqk1NRUlShRIs3+EiVKKDo6+p7Pu3r1qkqXLq3k5GTZ29vrgw8+0LPPPitJio2Ntfbxzz7vHstIcHCwgoKCrI+joqLk5+cnNzc3eXh4PPS15agEZnrhEbg7S7xgEYJx5CjDPzOBPM5sNstkMsnd3Z1QHDbJzc0tU+0IxQEAAAAAAPBEK1SokKKiopSYmKjw8HAFBQWpfPny6ZZWfxgODg5ycHCwPnZxcZF0Z+a64X9QJrDEo2Iy/bUBOcTwz0wAMplMueN3GOARyOz7mlAcAAAAAAAAuULx4sVlb2+vCxcupNl/4cIFeXp63vN5dnZ2qlixoiSpbt26OnLkiEJCQtSiRQvr8y5cuKCSJUum6bNu3bo5fxEAAAAAch2+EgIAAAAAAIBcoUCBAvL29lZ4eLh1n9lsVnh4uBo3bpzpfsxms5KTkyVJ5cqVk6enZ5o+r127pr179z5UnwAAAACeXMwUBwAAAAAAQK4RFBSk3r17y8fHRw0bNtS8efN0/fp19e3bV5LUq1cvlS5dWiEhIZKkkJAQ+fj4qEKFCkpOTtbGjRu1YsUKffjhh5LuLBf6xhtvaOrUqapUqZLKlSuncePGqVSpUurUqZNRlwkAAADgMSIUBwAAAAAAQK7RpUsXXbx4UePHj1dsbKzq1q2rTZs2qUSJEpKks2fPprlv4PXr1zVkyBD9/vvvcnJyUtWqVfXpp5+qS5cu1jYjR47U9evXNWDAACUkJKhZs2batGmTHB0dH/v1AQAAAHj8CMUBAAAAAACQqwQGBiowMDDDYxEREWkeT506VVOnTr1vfyaTSZMnT9bkyZNzqkQAAAAATxDuKQ4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFn5jC4AAPBk+DqwmXx8fIwuI08ym82Ki4uTh4eH7Oz4PpsRGAPjMQbGYwyMxxgYjzEwHmMAAAAAAMgK/gUJAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZ+YwuAADwZOj43g7l97xgdBl5kp0sqlbUoiNXTDLLZHQ5eRJjYDw7WbTrDR+jywAAAAAAAADwBGKmOAAAAAAAAAAAAADAZhGKAwAAAAAAAAAAAABsFqE4AAAAAAAAAAAAAMBmEYoDAAAAAAAAAAAAAGwWoTgAAAAAAAAAAAAAwGYRigMAAAAAAAAAAAAAbBahOAAAAAAAAAAAAADAZhGKAwAAAAAAAAAAAABsFqE4AAAAAAAAAAAAAMBmEYoDAAAAAAAAAAAAAGwWoTgAAAAAAAAAAAAAwGYRigMAAAAAAAAAAAAAbBahOAAAAAAAAAAAAADAZhGKAwAAAAAAAAAAAABsFqE4AAAAAAAAAAAAAMBmEYoDAAAAAAAAAAAAAGwWoTgAAAAAAAAAAAAAwGYRigMAAAAAAAAAAAAAbBahOAAAAAAAAAAAAADAZhGKAwAAAAAAAAAAAABsFqE4AAAAAAAAAAAAAMBmEYoDAAAAAAAAAAAAAGwWoTgAAAAAAAAAAAAAwGYRigMAAAAAACBXef/99+Xl5SVHR0f5+vpq375992y7aNEiNW/eXEWLFlXRokXVunXrdO379Okjk8mUZmvTps2jvgwAAAAAuQShOAAAAAAAAHKNNWvWKCgoSBMmTND+/ftVp04d+fv7Ky4uLsP2ERER6tatm7Zt26bdu3erTJkyeu6553Tu3Lk07dq0aaPz589bt1WrVj2OywEAAACQCxCKAwAAAAAAINeYM2eOAgIC1LdvX1WvXl0LFy6Us7OzlixZkmH7lStXasiQIapbt66qVq2qxYsXy2w2Kzw8PE07BwcHeXp6WreiRYs+jssBAAAAkAvkM7oAAAAAAAAAQJJSUlIUGRmp4OBg6z47Ozu1bt1au3fvzlQfSUlJunXrltzc3NLsj4iIkIeHh4oWLapWrVpp6tSpKlas2D37SU5OVnJysvVxYmKiJMlsNstsNj/MZeU8i8XY88M2WSx/bUAOMvwzE8jjzGazLBYLP4uwWZl9bxOKAwAAAAAAIFe4dOmSUlNTVaJEiTT7S5Qooejo6Ez1MWrUKJUqVUqtW7e27mvTpo1eeukllStXTidPntTbb7+t559/Xrt375a9vX2G/YSEhGjSpEnp9l++fPmeS7k/NokJxp4ftuvmdclkMroK2Ji4OBasBYxkNpt19epVWSwW2dnx8wjbc/ny5Uy1IxQHAAAAAACATZgxY4ZWr16tiIgIOTo6Wvd37drV+t+1atVS7dq1VaFCBUVEROiZZ57JsK/g4GAFBQVZH0dFRcnPz09ubm7y8PB4dBeRGQnM9MIjcHeWeMEiBOPIUYZ/ZgJ5nNlslslkkru7O6E4bNI/V4i6F0JxAAAAAAAA5ArFixeXvb29Lly4kGb/hQsX5Onped/nhoaGasaMGdq6datq165937bly5dX8eLFdeLEiXuG4g4ODnJwcLA+dnFxkXRnOXfD/6BMYIlHxWT6awNyiOGfmQBkMplyx+8wwCOQ2fc1734AAAAAAADkCgUKFJC3t7fCw8Ot+8xms8LDw9W4ceN7Pm/WrFmaMmWKNm3aJB8fnwee5/fff1d8fLxKliyZI3UDAAAAyN0IxQEAAAAAAJBrBAUFadGiRVq2bJmOHDmiwYMH6/r16+rbt68kqVevXgoODra2nzlzpsaNG6clS5bIy8tLsbGxio2NVWJioiQpMTFR//73v7Vnzx7FxMQoPDxcHTt2VMWKFeXv72/INQIAAAB4vFg+HQAAAAAAALlGly5ddPHiRY0fP16xsbGqW7euNm3apBIlSkiSzp49m2aJxA8//FApKSl6+eWX0/QzYcIETZw4Ufb29jp48KCWLVumhIQElSpVSs8995ymTJmSZnl0AAAAALaLUBwAAAAAAAC5SmBgoAIDAzM8FhERkeZxTEzMfftycnLS5s2bc6gyAAAAAE8ilk8H8FAmTpyounXrGl2GzYuIiJDJZFJCQoLRpQAAAAAAAAAAADzRCMWBB7h48aIGDx6sp556Sg4ODvL09JS/v7927tz5SM8bExMjk8mUbuvZs+cjPe+DjBgxQuHh4YbW8HdJSUkKDg5WhQoV5OjoKHd3d/n5+enrr7/O0fPk9JcBfvnlF73yyisqUaKEHB0dValSJQUEBOjYsWM5dg4AAAAAAAAAAACwfDrwQJ07d1ZKSoqWLVum8uXL68KFCwoPD1d8fPxjOf/WrVtVo0YN62MnJ6d0bSwWi1JTU5Uv36P/kXZxcZGLi8sjP09mDRo0SHv37tW7776r6tWrKz4+Xrt27Xps45MV//3vf9W5c2f5+/tr5cqVqlChguLi4rR27VqNGzdOa9asyZHzpKSkqECBAjnSFwAAAAAAAAAAwJOKmeLAfSQkJGj79u2aOXOmWrZsqbJly6phw4YKDg5Whw4drO3mzJmjWrVqqWDBgipTpoyGDBmixMRE6/GwsDC5urpq8+bNqlatmlxcXNSmTRudP3/+gTUUK1ZMnp6e1q1IkSLWpbW//fZbeXt7y8HBQTt27NDJkyfVsWNHlShRQi4uLmrQoIG2bt2apj8vLy9Nnz5d/fr1U6FChfTUU0/p448/TtPm999/V7du3eTm5qaCBQvKx8dHe/fulZR+xnRERIQaNmyoggULytXVVU2bNtWZM2esx7/55hs1aNBAjo6OKl68uF588UXrsStXrqhXr14qWrSonJ2d9fzzz+v48eOZG5z/b/369Xr77bfVtm1beXl5ydvbW8OGDVO/fv2sbVasWCEfHx8VKlRInp6e6t69u+Li4tJcg8lkUnh4uHx8fOTs7KwmTZro6NGjku6M36RJk3TgwAHrjP2wsDBJDx77f0pKSlLfvn3Vtm1brV+/Xq1bt1a5cuXk6+ur0NBQffTRRxk+Lz4+Xt26dVPp0qXl7OysWrVqadWqVWnatGjRQoGBgXrjjTdUvHhx+fv7Z6nG5ORkXbt2zbrdbWsnyU4WNoM2Uy6oIa9vjIHxm8VikdlsZjNwYwyM3xgD4zfGwPiNMfhrAwAAAABkDjPFgfu4Oyt63bp1atSokRwcHDJsZ2dnpwULFqhcuXI6deqUhgwZopEjR+qDDz6wtklKSlJo3RNkLQAAmF5JREFUaKhWrFghOzs79ezZUyNGjNDKlSuzXN/o0aMVGhqq8uXLq2jRovrf//6ntm3batq0aXJwcNDy5cvVvn17HT16VE899ZT1ebNnz9aUKVP09ttv6z//+Y8GDx4sPz8/ValSRYmJifLz81Pp0qW1fv16eXp6av/+/Rn+weX27dvq1KmTAgICtGrVKqWkpGjfvn0ymUySpA0bNujFF1/UmDFjtHz5cqWkpGjjxo3W5/fp00fHjx/X+vXrVbhwYY0aNUpt27bV4cOHlT9//ky9Bp6entq4caNeeuklFSpUKMM2t27d0pQpU1SlShXFxcUpKChIffr0SVOLJI0ZM0azZ8+Wu7u7Bg0apH79+mnnzp3q0qWLfv31V23atMn6JYMiRYpIytzY/93mzZt16dIljRw5MsPjrq6uGe6/efOmvL29NWrUKBUuXFgbNmzQa6+9pgoVKqhhw4bWdsuWLdPgwYPTLO//sDWGhIRo0qRJ6faXKywVKmrJ8Dl4tOwk/Z+LZJJkFmNgBMbAeHa682U1i8UiOzu+12kEs9msq1evMgYGYgyMxxgYjzH4y+XLl40uAQAAAACeGCaLxcJfdoH7+OKLLxQQEKAbN26ofv368vPzU9euXVW7du17Puc///mPBg0apEuXLkm6M9O4b9++OnHihCpUqCBJ+uCDDzR58mTFxsZm2EdMTIzKlSsnJyenNH/s2b59u65evaqWLVtq3bp16tix433rr1mzpgYNGqTAwEBJd2aKN2/eXCtWrJB0Z+l1T09PTZo0SYMGDdLHH3+sESNGKCYmRm5ubun6mzhxotatW6eoqChdvnxZxYoVU0REhPz8/NK1bdKkicqXL69PP/003bHjx4+rcuXK2rlzp5o0aSLpzmzoMmXKaNmyZXrllVfue113/fjjj+rRo4cuXLigOnXqqFmzZnr55ZfVtGnTez7n559/VoMGDfTnn3/KxcVFERERatmypbZu3apnnnlGkrRx40a98MILunHjhhwdHdNc9/38c+z/adasWRo1apQuX76sokWL3rOfuzVduXLlnkF5u3btVLVqVYWGhkq6M1P82rVr2r9/f7ZqTE5OVnJysvVxVFSU/Pz89H+95yq/Z8X79o1Hw04WVS1qUfQVk8wyGV1OnsQYGM9OFm3/l4/c3d3zfAhiFLPZrIsXLzIGBmIMjMcYGI8x+Mv+/fvVoEEDRUZGqn79+kaXkyfs379f3t7eueI1//Log1eeAx6axSIlJkgurpKJf/cg57xUpaTRJQB5mtlsVlxcnDw8PPL879CwTZn9PZ2Z4sADdO7cWS+88IK2b9+uPXv26Ntvv9WsWbO0ePFi9enTR9Kd+36HhIQoOjpa165d0+3bt3Xz5k0lJSXJ2dlZkuTs7GwNxCWpZMmSaZbwvpc1a9aoWrVq1sdlypTR7t27JUk+Pj5p2iYmJmrixInasGGDzp8/r9u3b+vGjRs6e/ZsmnZ/D/RNJpM8PT2ttURFRalevXoZBuL/5Obmpj59+sjf31/PPvusWrdurVdffVUlS5a09hUQEJDhc48cOaJ8+fLJ19fXuq9YsWKqUqWKjhw58sBz3/X000/r1KlT2rNnj3bt2qXw8HDNnz9fkyZN0rhx4yRJkZGRmjhxog4cOKArV65YZ72fPXtW1atXz/B1uXsNcXFxaWbZ/1Nmxv7vsvo9pNTUVE2fPl2ff/65zp07p5SUFCUnJ6c7h7e3d7ZrdHBwSLMqwt17yJslwkADWXTn9WcMjMMYGM9kMsnOzo5/wBmIMTAeY2A8xsB4jMEdef36AQAAAOBh8C8oIBMcHR317LPPaty4cdq1a5f69OmjCRMmSLozo7tdu3aqXbu2vvjiC0VGRur999+XJKWkpFj7+Ody4CaTKVMBaZkyZVSxYkXr9vewsmDBgmnajhgxQl999ZWmT5+u7du3KyoqSrVq1UpTx71quRsUOzk5PbCmv1u6dKl2796tJk2aaM2aNapcubL27NmTpb6yKn/+/GrevLlGjRql7777TpMnT9aUKVOUkpKi69evy9/fX4ULF9bKlSv1008/6auvvpKk+74ud5eAv999+jI79n9XuXJlSVJ0dPRDXeM777yj+fPna9SoUdq2bZuioqLk7++f7jz/fE9kpUYAAAAAAAAAAABbQigOZEH16tV1/fp1SXdmIZvNZs2ePVuNGjVS5cqV9ccffxhS186dO9WnTx+9+OKLqlWrljw9PRUTE/NQfdSuXdu6NHpm1atXT8HBwdq1a5dq1qypzz77zNpXeHh4hs+pVq2abt++rb1791r3xcfH6+jRo2lmb2dF9erVrbOho6OjFR8frxkzZqh58+aqWrVqpmbo/1OBAgWUmpqaZl9Wxv65555T8eLFNWvWrAyPJyQkZLh/586d6tixo3r27Kk6deqofPnyOnbs2APrzk3vTwAAAAAAAAAAACMQigP3ER8fr1atWunTTz/VwYMHdfr0aa1du1azZs2y3su7YsWKunXrlt59912dOnVKK1as0MKFCw2pt1KlSvryyy8VFRWlAwcOqHv37ved6ZyRbt26ydPTU506ddLOnTt16tQpffHFF9Yl2//u9OnTCg4O1u7du3XmzBl99913On78uHW59wkTJmjVqlWaMGGCjhw5okOHDmnmzJnWWjt27KiAgADt2LFDBw4cUM+ePVW6dOkH3if971q0aKGPPvpIkZGRiomJ0caNG/X222+rZcuWKly4sJ566ikVKFDAOj7r16/XlClTHuo1ke7ci/306dOKiorSpUuXlJycnKWxL1iwoBYvXqwNGzaoQ4cO2rp1q2JiYvTzzz9r5MiRGjRoUIbPq1SpkrZs2aJdu3bpyJEjGjhwoC5cuPDAunPT+xMAAAAAAAAAAMAIhOLAfbi4uMjX11dz587V008/rZo1a2rcuHEKCAjQe++9J0mqU6eO5syZo5kzZ6pmzZpauXKlQkJCDKl3zpw5Klq0qJo0aaL27dvL399f9evXf6g+ChQooO+++04eHh5q27atatWqpRkzZsje3j5dW2dnZ0VHR6tz586qXLmyBgwYoKFDh2rgwIGS7gTWa9eu1fr161W3bl21atVK+/btsz5/6dKl8vb2Vrt27dS4cWNZLBZt3Lgx3TLmYWFh96zX399fy5Yt03PPPadq1app2LBh8vf31+effy5Jcnd3V1hYmNauXavq1atrxowZCg0NfajXRLpzb/k2bdqoZcuWcnd316pVq7I89h07dtSuXbuUP39+de/eXVWrVlW3bt109epVTZ06NcPnjB07VvXr15e/v79atGhh/eLCg+Sm9ycAAAAAAAAAAIARTJbM3NQYAAxw+vRpVa5cWYcPH1alSpWMLifP2r9/v7y9vVWq91zl92QcjGAni6oVtejIFZPMMhldTp7EGBjPThbtesNHHh4esrPje51GMJvNiouLYwwMxBgYjzEwHmPwl7u/p0dGRj70l6GRNbnpNf/y6HlDzw8bZbFIiQmSi6tk4t89yDkvVSlpdAlAnsbv0LB1mf09nXc/gFxr48aNGjBgAIE4AAAAAAAAAAAAsiyf0QUAwL0MHTrU6BIAAAAAAAAAAADwhGOmOAAAAAAAAAAAAADAZhGKAwAAAAAAINtWrFihpk2bqlSpUjpz5owkad68efr6668NrgwAAABAXkcoDgAAAAAAgGz58MMPFRQUpLZt2yohIUGpqamSJFdXV82bN8/Y4gAAAADkeYTiAAAAAAAAyJZ3331XixYt0pgxY2Rvb2/d7+Pjo0OHDhlYGQAAAAAQigMAAAAAACCbTp8+rXr16qXb7+DgoOvXrxtQEQAAAAD8hVAcAAAAAAAA2VKuXDlFRUWl279p0yZVq1bt8RcEAAAAAH+Tz+gCAAAAAAAA8GQLCgrS0KFDdfPmTVksFu3bt0+rVq1SSEiIFi9ebHR5AAAAAPI4QnEAAAAAAABky+uvvy4nJyeNHTtWSUlJ6t69u0qVKqX58+era9euRpcHAAAAII8jFAcAAAAAAEC29ejRQz169FBSUpISExPl4eFhdEkAAAAAIIl7igMAAAAAACCbWrVqpYSEBEmSs7OzNRC/du2aWrVqZWBlAAAAAEAoDgAAAAAAgGyKiIhQSkpKuv03b97U9u3bDagIAAAAAP7C8ukAAAAAAADIkoMHD1r/+/Dhw4qNjbU+Tk1N1aZNm1S6dGkjSgMAAAAAK0JxAAAAAAAAZEndunVlMplkMpkyXCbdyclJ7777rgGVAQAAAMBfCMUBAAAAAACQJadPn5bFYlH58uW1b98+ubu7W48VKFBAHh4esre3N7BCAAAAACAUBwAAAAAAQBaVLVtWkmQ2mw2uBAAAAADujVAcAAAAAAAAOeLw4cM6e/asUlJS0uzv0KGDQRUBAAAAAKE4AAAAAAAAsunUqVN68cUXdejQIZlMJlksFkmSyWSSJKWmphpZHgAAAIA8zs7oAgAAAAAAAPBk+9e//qVy5copLi5Ozs7O+u233/Tjjz/Kx8dHERERRpcHAAAAII9jpjgAAAAAAACyZffu3fr+++9VvHhx2dnZyc7OTs2aNVNISIiGDx+uX375xegSAQAAAORhzBQHAAAAAABAtqSmpqpQoUKSpOLFi+uPP/6QJJUtW1ZHjx41sjQAAAAAYKY4AAAAAAAAsqdmzZo6cOCAypUrJ19fX82aNUsFChTQxx9/rPLlyxtdHgAAAIA8jlAcAAAAAAAA2TJ27Fhdv35dkjR58mS1a9dOzZs3V7FixbR69WqDqwMAAACQ1xGKAwAAAAAAIFv8/f2t/12xYkVFR0fr8uXLKlq0qEwmk4GVAQAAAAD3FAcAAAAAAMAj4ObmptjYWAUGBhpdCgAAAIA8jpniAAAAAAAAyLLffvtN27ZtU4ECBfTqq6/K1dVVly5d0tSpU/XRRx9xT3EAAAAAhmOmOAAAAAAAALJk/fr1qlevnoYPH65BgwbJx8dH27ZtU7Vq1RQdHa2vvvpKv/32m9FlAgAAAMjjCMUBAAAAAACQJVOnTtXQoUN17do1zZkzR6dOndLw4cO1ceNGbdq0SW3atDG6RAAAAAAgFAcAAAAAAEDWHD16VEOHDpWLi4uGDRsmOzs7zZ07Vw0aNDC6NAAAAACwIhQHAAAAAABAlvz5558qXLiwJMne3l5OTk7cQxwAAABArpPP6AIAAAAAAADw5Nq8ebOKFCkiSTKbzQoPD9evv/6apk2HDh2MKA0AAAAAJBGKAwAy6evAZvLx8TG6jDzJbDYrLi5OHh4esrNjkRcjMAbGuzsGAAAg9+ndu3eaxwMHDkzz2GQyKTU19XGWBAAAAABpEIoDAAAAAAAgS8xms9ElAAAAAMADMdUJAAAAAAAAAAAAAGCzCMUBAAAAAAAAAAAAADaLUBwAAAAAAAAAAAAAYLMIxQEAAAAAAAAAAAAANotQHAAAAAAAAAAAAABgswjFAQAAAAAAkC3ly5dXfHx8uv0JCQkqX768ARUBAAAAwF8IxQEAAAAAAJAtMTExSk1NTbc/OTlZ586dM6AiAAAAAPhLPqMLAAAAAAAAwJNp/fr11v/evHmzihQpYn2cmpqq8PBweXl5GVAZAAAAAPyFUBwAAAAAAABZ0qlTJ0mSyWRS79690xzLnz+/vLy8NHv2bAMqAwAAAIC/EIoDAAAAAAAgS8xmsySpXLly+umnn1S8eHGDKwIAAACA9AjFAQAAAAAAkC2nT582ugQAAAAAuCdCcQAAAAAAADy0BQsWaMCAAXJ0dNSCBQvu23b48OGPqSoAAAAASI9QHAAAAAAAAA9t7ty56tGjhxwdHTV37tx7tjOZTITiAAAAAAxFKA4AAAAAAICHFhUVpSJFikhi+XQAAAAAuZud0QUAAAAAAADgyePm5qa4uDhJUqtWrZSQkGBsQQAAAABwD4TiAAAAAAAAeGguLi6Kj4+XJEVEROjWrVsGVwQAAAAAGWP5dAAAAAAAADy01q1bq2XLlqpWrZok6cUXX1SBAgUybPv9998/ztIAAAAAIA1CcQBApnR8b4fye14wuow8yU4WVStq0ZErJpllMrqcPOlRj0HMjBdyvE8AAIBH7dNPP9WyZct08uRJ/fDDD6pRo4acnZ1zpO/3339f77zzjmJjY1WnTh29++67atiwYYZtFy1apOXLl+vXX3+VJHl7e2v69Olp2lssFk2YMEGLFi1SQkKCmjZtqg8//FCVKlXKkXoBAAAA5G6E4gAAAAAAAHhoTk5OGjRokCTp559/1syZM+Xq6prtftesWaOgoCAtXLhQvr6+mjdvnvz9/XX06FF5eHikax8REaFu3bqpSZMmcnR01MyZM/Xcc8/pt99+U+nSpSVJs2bN0oIFC7Rs2TKVK1dO48aNk7+/vw4fPixHR8ds1wwAAAAgd+Oe4gAAAAAAAMiWbdu2ydXVVSkpKTp69Khu376d5b7mzJmjgIAA9e3bV9WrV9fChQvl7OysJUuWZNh+5cqVGjJkiOrWrauqVatq8eLFMpvNCg8Pl3Rnlvi8efM0duxYdezYUbVr19by5cv1xx9/aN26dVmuEwAAAMCTg5niAAAAAAAAyJYbN24oMDBQy5YtkyQdO3ZM5cuX17Bhw1S6dGmNHj06U/2kpKQoMjJSwcHB1n12dnZq3bq1du/enak+kpKSdOvWLbm5uUmSTp8+rdjYWLVu3drapkiRIvL19dXu3bvVtWvXDPtJTk5WcnKy9XFiYqIkyWw2y2w2Z6qWR8ZiMfb8sE0Wy18bkIMM/8wE8jiz2SyLxcLPImxWZt/bhOIAAAAAAADIltGjR+vAgQOKiIhQmzZtrPtbt26tiRMnZjoUv3TpklJTU1WiRIk0+0uUKKHo6OhM9TFq1CiVKlXKGoLHxsZa+/hnn3ePZSQkJESTJk1Kt//y5cuKi4vLVC2PTGKCseeH7bp5XTKZjK4CNiYujgVrASOZzWZdvXpVFotFdnb8PML2XL58OVPtCMUBAAAAAACQLevWrdOaNWvUqFEjmf4WqNWoUUMnT558bHXMmDFDq1evVkRERLbvFR4cHKygoCDr46ioKPn5+cnNzS3De5s/VgnM9MIjcHeWeMEiBOPIUYZ/ZgJ5nNlslslkkru7O6E4bNLdFaIehFAcAAAAAAAA2XLx4sUMQ4/r16+nCckfpHjx4rK3t9eFCxfS7L9w4YI8PT3v+9zQ0FDNmDFDW7duVe3ata377z7vwoULKlmyZJo+69ate8/+HBwc5ODgYH3s4uIi6c5y7ob/QZnAEo+KyfTXBuQQwz8zAchkMuWO32GARyCz72ve/QAAAAAAAMgWHx8fbdiwwfr4bhC+ePFiNW7cONP9FChQQN7e3goPD7fuM5vNCg8Pv28/s2bN0pQpU7Rp0yb5+PikOVauXDl5enqm6fPatWvau3fvQ9UGAAAA4MnFTHEAAAAAAABky/Tp0/X888/r8OHDun37tubPn6/Dhw9r165d+uGHHx6qr6CgIPXu3Vs+Pj5q2LCh5s2bp+vXr6tv376SpF69eql06dIKCQmRJM2cOVPjx4/XZ599Ji8vL+t9wl1cXOTi4iKTyaQ33nhDU6dOVaVKlVSuXDmNGzdOpUqVUqdOnXL0dQAAAACQOxGKAwAAAAAAIFuaNWumqKgozZgxQ7Vq1dJ3332n+vXra/fu3apVq9ZD9dWlSxddvHhR48ePV2xsrOrWratNmzapRIkSkqSzZ8+mWSLxww8/VEpKil5++eU0/UyYMEETJ06UJI0cOVLXr1/XgAEDlJCQoGbNmmnTpk3Zvu84AAAAgCcDoTgAAAAAAACyrUKFClq0aFGO9BUYGKjAwMAMj0VERKR5HBMT88D+TCaTJk+erMmTJ+dAdQAAAACeNITiAAAAAAAAyDaz2awTJ04oLi5OZrM5zbGnn37aoKoAAAAAgFAcAAAAAAAA2bRnzx51795dZ86ckcViSXPMZDIpNTXVoMoAAAAAgFAcAAAAAAAA2TRo0CD5+Phow4YNKlmypEwmk9ElAQAAAIAVoTgAAAAAAACy5fjx4/rPf/6jihUrGl0KAAAAAKRjZ3QBAAAAAAAAeLL5+vrqxIkTRpcBAAAAABlipjgAAAAAAACyZdiwYXrrrbcUGxurWrVqKX/+/GmO165d26DKAAAAAIBQHAAAAAAAANnUuXNnSVK/fv2s+0wmkywWi0wmk1JTU40qDQAAAAAIxQEAAAAAAJA9p0+fNroEAAAAALgnQnEAAAAAAABkS9myZY0uAQAAAADuyc7oAgAAAAAAAPDkW7FihZo2bapSpUrpzJkzkqR58+bp66+/NrgyAAAAAHkdoTgAAAAAAACy5cMPP1RQUJDatm2rhIQE6z3EXV1dNW/ePGOLAwAAAJDnEYoDAAAAAAAgW959910tWrRIY8aMkb29vXW/j4+PDh06ZGBlAAAAAEAoDgAAAAAAgGw6ffq06tWrl26/g4ODrl+/bkBFAAAAAPAXQnEAAAAAAABkS7ly5RQVFZVu/6ZNm1StWrXHXxAAAAAA/E0+owsAAAAAAADAky0oKEhDhw7VzZs3ZbFYtG/fPq1atUohISFavHix0eUBAAAAyOMIxQEAAAAAAJAtr7/+upycnDR27FglJSWpe/fuKlWqlObPn6+uXbsaXR4AAACAPI5QHAAAAAAAANnWo0cP9ejRQ0lJSUpMTJSHh4fRJQEAAACAJO4pDgAAAAAAgBzk7OwsV1dXJSYmGl0KAAAAAEgiFAcAAAAAAEA2LF26VMOGDdPKlSslScHBwSpUqJCKFCmiZ599VvHx8QZXCAAAACCvIxQHAAAAAABAlkybNk1Dhw5VdHS0hg8frsGDByssLEyTJ0/WjBkzFB0drbFjxxpdJgAAAIA8jnuKAwAAAAAAIEvCwsL0ySefqFu3bvr555/l6+urzz//XJ07d5Yk1axZU4MGDTK4SgAAAAB5HTPFAQAAAAAAkCVnz55Vs2bNJEk+Pj7Kly+fatasaT1eu3ZtnT9/3qjyAAAAAEASoTgAAAAAAACy6NatW3JwcLA+LlCggPLnz299nC9fPqWmphpRGgAAAABYsXw6AAAAAAAAsuzw4cOKjY2VJFksFkVHRysxMVGSdOnSJSNLAwAAAABJhOKwcRMnTtS6desUFRVldCl4gLCwML3xxhtKSEgwuhQAAAAAwEN45plnZLFYrI/btWsnSTKZTLJYLDKZTEaVBgAAAACSWD4d2XDx4kUNHjxYTz31lBwcHOTp6Sl/f3/t3LnzkZ43JiZGJpPJuhUqVEg1atTQ0KFDdfz48TRtR4wYofDw8EdaT1YdOHBAHTp0kIeHhxwdHeXl5aUuXbooLi4uR8/j5eWlefPmZbufiIiINK+7k5OTatSooY8//jj7RT4B2rdvrzZt2mR4bPv27TKZTDp48GC2z3P3/c0XOQAAAAA8CU6fPq1Tp07p9OnT6ba7+0+dOmV0mQAAAADyOGaKI8s6d+6slJQULVu2TOXLl9eFCxcUHh6u+Pj4x3L+rVu3qkaNGkpKStKhQ4c0f/581alTR998842eeeYZSZKLi4tcXFweSz0P4+LFi3rmmWfUrl07bd68Wa6uroqJidH69et1/fp1o8u7r6NHj6pw4cK6ceOGvvnmGw0ePFgVKlSwvuZZcevWrRysMK2UlBQVKFAg2/30799fnTt31u+//67/+7//S3Ns6dKl8vHxUe3atbN9npyUU9cOAAAAAPdStmxZo0sAAAAAgAdipjiyJCEhQdu3b9fMmTPVsmVLlS1bVg0bNlRwcLA6dOhgbTdnzhzVqlVLBQsWVJkyZTRkyBDrfcWkO0tmu7q6avPmzapWrZpcXFzUpk0bnT9//oE1FCtWTJ6enipfvrw6duyorVu3ytfXV/3791dqaqqkO8un161bN83zFi9erGrVqsnR0VFVq1bVBx98kOb4rl27VLduXTk6OsrHx0fr1q1LN3P3hx9+UMOGDeXg4KCSJUtq9OjRun37dqZfv507d+rq1atavHix6tWrp3Llyqlly5aaO3euypUrJ0lKTU1V//79Va5cOTk5OalKlSqaP39+mn769OmjTp06KTQ0VCVLllSxYsU0dOhQa8jcokULnTlzRm+++aZ1hrckxcfHq1u3bipdurScnZ1Vq1YtrVq1KlO1e3h4yNPTU+XKldPw4cNVrlw57d+/33p806ZNatasmVxdXVWsWDG1a9dOJ0+etB6/OxN6zZo18vPzk6Ojo1auXGk9vm7dOlWqVEmOjo7y9/fX//73P+uxkydPqmPHjipRooRcXFzUoEEDbd26NU19Xl5emjJlinr16qXChQtrwIABkqRRo0apcuXKcnZ2Vvny5TVu3LiHCuPbtWsnd3d3hYWFpdmfmJiotWvXqn///pKkHTt2qHnz5nJyclKZMmU0fPjwNF908PLy0vTp09WvXz8VKlRITz31VJrZ9nfHv169ejKZTGrRooWkO2P5xhtvpDl3p06d1KdPn0d+7QAAAAAAAAAAAE8yZoojS+7OwF63bp0aNWokBweHDNvZ2dlpwYIFKleunE6dOqUhQ4Zo5MiRaYLopKQkhYaGasWKFbKzs1PPnj01YsSINEFpZtjZ2elf//qXXnzxRUVGRqphw4bp2qxcuVLjx4/Xe++9p3r16umXX35RQECAChYsqN69e+vatWtq37692rZtq88++0xnzpxJF0SeO3dObdu2VZ8+fbR8+XJFR0crICBAjo6OmjhxYqZq9fT01O3bt/XVV1/p5ZdfzvD+amazWf/3f/+ntWvXqlixYtq1a5cGDBigkiVL6tVXX7W227Ztm0qWLKlt27bpxIkT6tKli+rWrauAgAB9+eWXqlOnjgYMGKCAgADrc27evClvb2+NGjVKhQsX1oYNG/Taa6+pQoUKGb5uGbFYLNq8ebPOnj0rX19f6/7r168rKChItWvXVmJiosaPH68XX3xRUVFRsrP763s4o0eP1uzZs1WvXj05Ojpq8+bNSkpK0rRp07R8+XIVKFBAQ4YMUdeuXa1L8icmJqpt27aaNm2aHBwctHz5crVv315Hjx7VU089Ze07NDRU48eP14QJE6z7ChUqpLCwMJUqVUqHDh1SQECAChUqpJEjR2bqevPly6devXopLCxMY8aMsY7Z2rVrlZqaqm7duunkyZNq06aNpk6dqiVLlujixYsKDAxUYGCgli5dau1r9uzZmjJlit5++2395z//0eDBg+Xn56cqVapo3759atiwoXUlhIed6Z0T156cnKzk5GTr47tfZLGTZCdLhs/Bo2Uni0yy8E02Az3qMTCbzY+oZ9thNptlsVh4rQzEGBiPMTAeY2A8xuAvvAYAAAAAkHmE4siSfPnyKSwsTAEBAVq4cKHq168vPz8/de3aNc0S0n8PlL28vDR16lQNGjQoTSh+69YtLVy4UBUqVJAkBQYGavLkyVmqq2rVqpLuzEbOKNydMGGCZs+erZdeeknSnVm5hw8f1kcffaTevXvrs88+k8lk0qJFi+To6Kjq1avr3LlzaQLlDz74QGXKlNF7770nk8mkqlWr6o8//tCoUaM0fvz4NMHvvTRq1Ehvv/22unfvrkGDBqlhw4Zq1aqVevXqpRIlSkiS8ufPr0mTJlmfU65cOe3evVuff/55mlC8aNGieu+992Rvb6+qVavqhRdeUHh4uAICAuTm5iZ7e3sVKlRInp6e1ueULl1aI0aMsD4eNmyYNm/erM8///yBofjdpcOTk5NlNps1efJkPf3009bjnTt3TtN+yZIlcnd31+HDh1WzZk3r/jfeeMM6DnfdunVL7733njVkX7ZsmapVq2YNiuvUqaM6depY20+ZMkVfffWV1q9fr8DAQOv+Vq1a6a233krT99ixY63/7eXlpREjRmj16tWZDsUlqV+/fnrnnXf0ww8/WGdwL126VJ07d1aRIkX01ltvqUePHtb3faVKlbRgwQL5+fnpww8/lKOjoySpbdu2GjJkiKQ7s7jnzp2rbdu2qUqVKnJ3d5f010oIDysnrj0kJCTNe++ucoWlQkUJxY1gJ+n/XCSTJDNfTDDEox6DuLi4HO/T1pjNZl29elUWiyVT/69FzmMMjMcYGI8xMB5j8JfLly8bXQIAAAAAPDEIxZFlnTt31gsvvKDt27drz549+vbbbzVr1iwtXrzYuqTz1q1bFRISoujoaF27dk23b9/WzZs3lZSUJGdnZ0mSs7OzNRCXpJIlS2Y5HLBY7gQVGc28vn79uk6ePKn+/funCblv376tIkWKSLpzv+zatWtbw0tJ6ULiI0eOqHHjxmnO0bRpUyUmJur3339PM2P5fqZNm6agoCB9//332rt3rxYuXKjp06frxx9/VK1atSRJ77//vpYsWaKzZ8/qxo0bSklJSbccfI0aNWRvb299XLJkSR06dOi+505NTdX06dP1+eef69y5c0pJSVFycrJ1TO5n+/btKlSokJKTk7Vv3z4FBgbKzc1NgwcPliQdP35c48eP1969e3Xp0iXr7IWzZ8+mCcV9fHzS9Z0vXz41aNDA+rhq1apydXXVkSNH1LBhQyUmJmrixInasGGDzp8/r9u3b+vGjRs6e/Zsmn4y6nvNmjVasGCBTp48qcTERN2+fVuFCxd+4PX+XdWqVdWkSRMtWbJELVq00IkTJ7R9+3brlzgOHDiggwcPplnl4O4sltOnT6tatWqSlOaLIyaTSZ6enjkWiOXEtQcHBysoKMj6OCoqSn5+fjp9TcrvnP5nC4+enSyySIq+IpnFGBjhUY+Bh4dHjvdpa8xms0wmk9zd3fN8CGIUxsB4jIHxGAPjMQZ/cXNzM7oEAAAAAHhiEIojWxwdHfXss8/q2Wef1bhx4/T6669rwoQJ6tOnj2JiYtSuXTsNHjxY06ZNk5ubm3bs2KH+/fsrJSXFGsDmz58/TZ8mk8kabj+sI0eOSPrrvsx/d3cJ6EWLFqVZ7ltSmlD5cSpWrJheeeUVvfLKK5o+fbrq1aun0NBQLVu2TKtXr9aIESM0e/ZsNW7cWIUKFdI777yjvXv3pukjo9fvQcvovfPOO5o/f77mzZtnvef7G2+8oZSUlAfWXK5cObm6ukq6E8jv3btX06ZNs4bi7du3V9myZbVo0SKVKlVKZrNZNWvWTNd3wYIFH3iufxoxYoS2bNmi0NBQVaxYUU5OTnr55Zcf2Pfu3bvVo0cPTZo0Sf7+/ipSpIhWr16t2bNnP3QN/fv317Bhw/T+++9r6dKlqlChgvz8/CTdeY8NHDhQw4cPT/e8v39ZIitjZmdnl+7nIqP7gufEtTs4OKS5JYKLi4skySwCWSNZdOf1ZwyM8yjHIK//UT+zTCaT7OzseL0MxBgYjzEwHmNgPMbgjtxy/Tdu3NCWLVvUsmVLFSpUKM2xa9euKSIiQv7+/ve87RoAAAAAPA6E4shR1atX17p16yRJkZGRMpvNmj17tvUf659//vkjO7fZbLbev7xevXrpjpcoUUKlSpXSqVOn1KNHjwz7qFKlij799FMlJydb/8H+008/pWlTrVo1ffHFF7JYLNbZ4jt37lShQoWsS4tnRYECBVShQgVdv37d2meTJk2sy2xL0smTJ7PUb2pqapp9O3fuVMeOHdWzZ09Jd167Y8eOqXr16g/dv729vW7cuCFJio+P19GjR7Vo0SI1b95ckrRjx45M93X79m39/PPP1tn5R48eVUJCgnWG9c6dO9WnTx+9+OKLku6E0DExMQ/sd9euXSpbtqzGjBlj3XfmzJlM1/V3r776qv71r3/ps88+0/LlyzV48GDr+6B+/fo6fPiwKlasmKW+JVnvIf7PMXN3d9f58+etj1NTU/Xrr7+qZcuW9+0vJ68dAAAAAP7p448/1vr169WhQ4d0xwoXLqwFCxbof//7n4YOHWpAdQAAAABwR+74WjGeOPHx8WrVqpU+/fRTHTx4UKdPn9batWs1a9YsdezYUZJUsWJF3bp1S++++65OnTqlFStWaOHChTlaQ2xsrE6dOqX169erdevW2rdvnz755JN7zvyeNGmSQkJCtGDBAh07dkyHDh3S0qVLNWfOHElS9+7dZTabNWDAAB05ckSbN29WaGiopL+WZB8yZIj+97//adiwYYqOjtbXX3+tCRMmKCgoKNPf1P/vf/+rnj176r///a+OHTumo0ePKjQ0VBs3brS+fpUqVdLPP/+szZs369ixYxo3bly6gD4zvLy89OOPP+rcuXO6dOmSte8tW7Zo165dOnLkiAYOHKgLFy5kqr+4uDjFxsbqzJkzWrt2rVasWGGtuWjRoipWrJg+/vhjnThxQt9//32aZbgfJH/+/Bo2bJj27t2ryMhI9enTR40aNbKG5JUqVdKXX36pqKgoHThwwDpeD1KpUiWdPXtWq1ev1smTJ7VgwQJ99dVXma7r71xcXNSlSxcFBwfr/Pnz1lsFSHfuD75r1y4FBgYqKipKx48f19dff53mfucP4uHhIScnJ23atEkXLlzQ1atXJd25V/iGDRu0YcMGRUdHa/DgwUpISHhgfzl57QAAAADwTytXrtQbb7xxz+NvvPGGli1b9vgKAgAAAIAMEIojS1xcXOTr66u5c+fq6aefVs2aNTVu3DgFBATovffekyTVqVNHc+bM0cyZM1WzZk2tXLlSISEhOVZD69atVbJkSdWqVUujR49WtWrVdPDgwfvOnH399de1ePFiLV26VLVq1ZKfn5/CwsKsy60XLlxY33zzjaKiolS3bl2NGTNG48ePlyTrfcZLly6tjRs3at++fapTp44GDRqk/v37a+zYsdbzhIWFZXhf87uqV68uZ2dnvfXWW6pbt64aNWqkzz//XIsXL9Zrr70mSRo4cKBeeukldenSRb6+voqPj08zazyzJk+erJiYGFWoUEHu7u6SpLFjx6p+/fry9/dXixYt5OnpqU6dOmWqvypVqqhkyZKqWLGiRo0apYEDB+rdd9+VdGf5vtWrVysyMlI1a9bUm2++qXfeeSfTtTo7O2vUqFHq3r27mjZtKhcXF61Zs8Z6fM6cOSpatKiaNGmi9u3by9/fX/Xr139gvx06dNCbb76pwMBA1a1bV7t27dK4cePStImJiZHJZFJERMQD++vfv7+uXLkif39/lSpVyrq/du3a+uGHH3Ts2DE1b95c9erV0/jx49O0eZB8+fJpwYIF+uijj1SqVCnrFw769eun3r17q1evXvLz81P58uUfOEs8s9cOAAAAAFl1/Phx1alT557Ha9eurePHjz/GigAAAAAgPZMlqzdvBvKIlStXqm/fvrp69aqcnJwy9ZwJEybohx9+yFTAitxh27Zteumll3Tq1CkVLVrU6HJylf3798vb21ules9Vfs9KRpeTJ9nJompFLTpyhXuKG+VRj0HMjBdyvE9bYzabFRcXJw8Pj1xzD9W8hjEwHmNgPMbAeIzBX+7+nh4ZGZmpLws/KoUKFVJERIS8vb0zPB4ZGakWLVrozz//fMyV5bzc8ppL0pdHzz+4EfCwLBYpMUFycZXuM9kDeFgvVSlpdAlAnsbv0LB1mf09nXuKA/+wfPlylS9fXqVLl9aBAwc0atQovfrqq5kOxCXp22+/tc6Yx5Nh48aNevvttwnEAQAAAOAh1KhRQ1u3br1nKP7dd9+pRo0aj7kqAAAAAEiLUBz4h9jYWI0fP16xsbEqWbKkXnnlFU2bNu2h+ti3b98jqg6PysMs8w4AAAAAuKNfv34KCgpSjRo11K5duzTHvvnmG02bNk1z5swxqDoAAAAAuINQHPiHkSNHauTIkUaXAQAAAABArjdgwAD9+OOP6tChg6pWraoqVapIkqKjo3Xs2DG9+uqrGjBggMFVAgAAAMjruHkAAAAAAAAAsuzTTz/V6tWrVblyZR07dkxHjx5VlSpVtGrVKq1atcro8gAAAACAmeIAAAAAAADInldffVWvvvpquv1ms1kbN25Mt7Q6AAAAADxOhOIAAAAAAADIUSdOnNCSJUsUFhamixcv6tatW0aXBAAAACAPY/l0AAAAAAAAZNuNGze0fPlyPf3006pSpYp27dql8ePH6/fffze6NAAAAAB5HDPFAQAAAAAAkGU//fSTFi9erNWrV6tChQrq0aOHdu3apQ8++EDVq1c3ujwAAAAAIBQHAAAAAABA1tSuXVvXrl1T9+7dtWvXLtWoUUOSNHr0aIMrAwAAAIC/sHw6AAAAAAAAsuTo0aN6+umn1bJlS2aFAwAAAMi1CMUBAAAAAACQJadOnVKVKlU0ePBg/d///Z9GjBihX375RSaTyejSAAAAAMCKUBwAAAAAAABZUrp0aY0ZM0YnTpzQihUrFBsbq6ZNm+r27dsKCwvTsWPHjC4RAAAAAAjFAQAAAAAAkH2tWrXSp59+qj/++EPvvfeevv/+e1WtWlW1a9c2ujQAAAAAeRyhOAAAAAAAAHKMq6urhgwZop9//ln79+9XixYtjC4JAAAAQB6Xz+gCAAAAAAAA8GS7evWqtmzZopiYGJlMJpUvX17PPPOM6tatqwULFhhdHgAAAIA8jlAcAAAAAAAAWfbpp58qMDBQ165dS7O/SJEiWrhwobp06WJQZQAAAABwB8unAwAAAAAAIEv279+vvn37qlOnTvrll19048YNJSUl6eeff1b79u312muvKSoqyugyAQAAAORxzBQHAAAAAABAlrz77rvq1KmTwsLC0uyvX7++li9frqSkJC1YsEBLliwxpkAAAAAAEDPFAQAAAAAAkEU7d+7UwIED73l80KBB2rFjx2OsCAAAAADSIxQHAAAAAABAlvzxxx+qXLnyPY9XrlxZ586de4wVAQAAAEB6hOIAAAAAAADIkqSkJDk6Ot7zuIODg27evPkYKwIAAACA9LinOAAAAAAAALJs8+bNKlKkSIbHEhISHm8xAAAAAJABQnEAAAAAAABkWe/eve973GQyPaZKAAAAACBjhOIAAAAAAADIErPZbHQJAAAAAPBA3FMcAAAAAAAAAAAAAGCzCMUBAAAAAAAAAAAAADaLUBwAAAAAAAAAAAAAYLMIxQEAAAAAAAAAAAAANotQHAAAAAAAALnK+++/Ly8vLzk6OsrX11f79u27Z9vffvtNnTt3lpeXl0wmk+bNm5euzcSJE2UymdJsVatWfYRXAAAAACA3IRQHAAAAAABAtiUkJGjx4sUKDg7W5cuXJUn79+/XuXPnHqqfNWvWKCgoSBMmTND+/ftVp04d+fv7Ky4uLsP2SUlJKl++vGbMmCFPT8979lujRg2dP3/euu3YseOh6gIAAADw5MpndAEAAAAAAAB4sh08eFCtW7dWkSJFFBMTo4CAALm5uenLL7/U2bNntXz58kz3NWfOHAUEBKhv376SpIULF2rDhg1asmSJRo8ena59gwYN1KBBA0nK8Phd+fLlu29o/k/JyclKTk62Pk5MTJQkmc1mmc3mTPfzSFgsxp4ftsli+WsDcpDhn5lAHmc2m2WxWPhZhM3K7HubUBwAAAAAAADZEhQUpD59+mjWrFkqVKiQdX/btm3VvXv3TPeTkpKiyMhIBQcHW/fZ2dmpdevW2r17d7ZqPH78uEqVKiVHR0c1btxYISEheuqpp+7ZPiQkRJMmTUq3//Lly/ectf7YJCYYe37YrpvXJZPJ6CpgY+LiWLAWMJLZbNbVq1dlsVhkZ8fPI2zP3VWqHoRQHACQKV8HNpOPj4/RZeRJZrNZcXFx8vDw4BdXgzAGAAAA9/fTTz/po48+Sre/dOnSio2NzXQ/ly5dUmpqqkqUKJFmf4kSJRQdHZ3l+nx9fRUWFqYqVaro/PnzmjRpkpo3b65ff/01TYj/d8HBwQoKCrI+joqKkp+fn9zc3OTh4ZHlWnJEAjO98AjcnSVesAjBOHKU4Z+ZQB5nNptlMpnk7u7O37Vgk9zc3DLVjlAcAAAAAAAA2eLg4KBr166l23/s2DG5u7sbUFFazz//vPW/a9euLV9fX5UtW1aff/65+vfvn+FzHBwc5ODgYH3s4uIi6c7MdcP/oExgiUfFZPprA3KI4Z+ZAGQymXLH7zDAI5DZ9zXvfgAAAAAAAGRLhw4dNHnyZN26dUvSnT+8nj17VqNGjVLnzp0z3U/x4sVlb2+vCxcupNl/4cKFh7of+IO4urqqcuXKOnHiRI71CQAAACD3IhQHAAAAAABAtsyePVuJiYny8PDQjRs35Ofnp4oVK6pQoUKaNm1apvspUKCAvL29FR4ebt1nNpsVHh6uxo0b51i9iYmJOnnypEqWLJljfQIAAADIvVg+HQAAAAAAANlSpEgRbdmyRTt27NDBgweVmJio+vXrq3Xr1g/dV1BQkHr37i0fHx81bNhQ8+bN0/Xr19W3b19JUq9evVS6dGmFhIRIklJSUnT48GHrf587d05RUVFycXFRxYoVJUkjRoxQ+/btVbZsWf3xxx+aMGGC7O3t1a1btxx6BQAAAADkZoTiAAAAAAAAyBHNmjVTs2bNstVHly5ddPHiRY0fP16xsbGqW7euNm3apBIlSkiSzp49m+a+gX/88Yfq1atnfRwaGqrQ0FD5+fkpIiJCkvT777+rW7duio+Pl7u7u5o1a6Y9e/bkivudAwAAAHj0CMUBAAAAAACQLQsWLMhwv8lkkqOjoypWrKinn35a9vb2meovMDBQgYGBGR67G3Tf5eXlJYvFct/+Vq9enanzAgAAALBNhOIAAAAAAADIlrlz5+rixYtKSkpS0aJFJUlXrlyRs7OzXFxcFBcXp/Lly2vbtm0qU6aMwdUCAAAAyGvsHtwEAAAAAAAAuLfp06erQYMGOn78uOLj4xUfH69jx47J19dX8+fP19mzZ+Xp6ak333zT6FIBAAAA5EHMFAcAAAAAAEC2jB07Vl988YUqVKhg3VexYkWFhoaqc+fOOnXqlGbNmqXOnTsbWCUAAACAvIqZ4gAAAAAAAMiW8+fP6/bt2+n23759W7GxsZKkUqVK6c8//3zcpQEAAAAAoTgAAAAAAACyp2XLlho4cKB++eUX675ffvlFgwcPVqtWrSRJhw4dUrly5YwqEQAAAEAeRigOAAAAAACAbPnkk0/k5uYmb29vOTg4yMHBQT4+PnJzc9Mnn3wiSXJxcdHs2bMNrhQAAABAXsQ9xQEAAAAAAJAtnp6e2rJli6Kjo3Xs2DFJUpUqVVSlShVrm5YtWxpVHgAAAIA8jlAcAAAAAAAAOaJq1aqqWrWq0WUAAAAAQBqE4gAAAAAAAMi233//XevXr9fZs2eVkpKS5ticOXMMqgoAAAAACMUBAAAAAACQTeHh4erQoYPKly+v6Oho1axZUzExMbJYLKpfv77R5QEAAADI4+yMLgAAAAAAAABPtuDgYI0YMUKHDh2So6OjvvjiC/3vf/+Tn5+fXnnlFaPLAwAAAJDHEYoDAAAAAAAgW44cOaJevXpJkvLly6cbN27IxcVFkydP1syZMw2uDgAAAEBeRygOAAAAAACAbClYsKD1PuIlS5bUyZMnrccuXbpkVFkAAAAAIIl7igMAMqnjezuU3/OC0WXkSXayqFpRi45cMcksk9Hl5EnZGYOYGS88oqoAAAByj0aNGmnHjh2qVq2a2rZtq7feekuHDh3Sl19+qUaNGhldHgAAAIA8jlAcAAAAAAAA2TJnzhwlJiZKkiZNmqTExEStWbNGlSpV0pw5cwyuDgCAJ4fJFGp0CbAxdnaSt3dBRUZel9lsdDWwNRbLCKNLyDRCcQAAAAAAAGRZamqqfv/9d9WuXVvSnaXUFy5caHBVAAAAAPAX7ikOAAAAAACALLO3t9dzzz2nK1euGF0KAAAAAGSIUBwAAAAAAADZUrNmTZ06dcroMgAAAAAgQ4TiAAAAAAAAyJapU6dqxIgR+u9//6vz58/r2rVraTYAAAAAMBL3FAcAAAAAAEC2tG3bVpLUoUMHmUwm636LxSKTyaTU1FSjSgMAAAAAQnEAAAAAAABkz7Zt24wuAQAAAADuiVAcAAAAAAAA2eLn52d0CQAAAABwT9xTHAAAAAAAANm2fft29ezZU02aNNG5c+ckSStWrNCOHTsMrgwAAABAXkcoDgAAAAAAgGz54osv5O/vLycnJ+3fv1/JycmSpKtXr2r69OkGVwcAAAAgryMUBwAAAAAAQLZMnTpVCxcu1KJFi5Q/f37r/qZNm2r//v0GVgYAAAAAhOIAAAAAAADIpqNHj+rpp59Ot79IkSJKSEh4/AUBAAAAwN8QigMAAAAAACBbPD09deLEiXT7d+zYofLlyxtQEQAAAAD8hVAcAAAAAAAA2RIQEKB//etf2rt3r0wmk/744w+tXLlSI0aM0ODBg40uDwAAAEAel8/oAgAAAAAAAPBkGz16tMxms5555hklJSXp6aefloODg0aMGKFhw4YZXR4AAACAPI5QHAAAAAAAANliMpk0ZswY/fvf/9aJEyeUmJio6tWry8XFxejSAAAAAIDl0wEAAAAAAJA9n376qZKSklSgQAFVr15dDRs2JBAHAAAAkGsQigMAAAAAACBb3nzzTXl4eKh79+7auHGjUlNTjS4JAAAAAKwIxQEAAAAAAJAt58+f1+rVq2UymfTqq6+qZMmSGjp0qHbt2mV0aQAAAABAKA4AAAAAAIDsyZcvn9q1a6eVK1cqLi5Oc+fOVUxMjFq2bKkKFSoYXR4AAACAPC6f0QUAAAAAAADAdjg7O8vf319XrlzRmTNndOTIEaNLAgAAAJDHMVMcAAAAAAAA2ZaUlKSVK1eqbdu2Kl26tObNm6cXX3xRv/32m9GlAQAAAMjjmCkOAAAAAACAbOnatav++9//ytnZWa+++qrGjRunxo0bG10WAAAAAEgiFAcAAAAAAEA22dvb6/PPP5e/v7/s7e3THPv1119Vs2ZNgyoDAAAAAEJxAAAAAAAAZNPKlSvTPP7zzz+1atUqLV68WJGRkUpNTTWoMgAAAADgnuIAAAAAAADIIT/++KN69+6tkiVLKjQ0VK1atdKePXuMLgsAAABAHsdMcQAAAAAAAGRZbGyswsLC9Mknn+jatWt69dVXlZycrHXr1ql69epGlwcAAAAAzBQHAAAAAABA1rRv315VqlTRwYMHNW/ePP3xxx969913jS4LAAAAANJgpjgAAAAAAACy5Ntvv9Xw4cM1ePBgVapUyehyAAAAACBDzBQHAAAAAABAluzYsUN//vmnvL295evrq/fee0+XLl0yuiwAAAAASINQHAAAAAAAAFnSqFEjLVq0SOfPn9fAgQO1evVqlSpVSmazWVu2bNGff/5pdIkAAAAAQCgOAAAAAACA7ClYsKD69eunHTt26NChQ3rrrbc0Y8YMeXh4qEOHDkaXBwAAACCPIxQHAAAAAABAjqlSpYpmzZql33//XatWrTK6HAAAAAAgFAcAAAAAAEDOs7e3V6dOnbR+/XqjSwEAAACQxxGKI8+YOHGi6tata3QZQKZ5eXlp3rx5RpcBAAAAAAAAAADwRCMUt2EXL17U4MGD9dRTT8nBwUGenp7y9/fXzp07H+l5Y2JiZDKZ0m09e/Z8pOd9kBEjRig8PNzQGv4uKSlJwcHBqlChghwdHeXu7i4/Pz99/fXXj/zcd8dkz549afYnJyerWLFiMplMioiIyHR/Rn/h4KuvvlKjRo1UpEgRFSpUSDVq1NAbb7yRo+e4+76OiorKkf6uXbumMWPGqGrVqnJ0dJSnp6dat26tL7/8UhaLJUfOAQAAAAAAAAAAACmf0QXg0encubNSUlK0bNkylS9fXhcuXFB4eLji4+Mfy/m3bt2qGjVqWB87OTmla2OxWJSamqp8+R79W9HFxUUuLi6P/DyZNWjQIO3du1fvvvuuqlevrvj4eO3ateuxjU+ZMmW0dOlSNWrUyLrvq6++kouLiy5fvvxYasgJ4eHh6tKli6ZNm6YOHTrIZDLp8OHD2rJli9Gl3VNCQoKaNWumq1evaurUqWrQoIHy5cunH374QSNHjlSrVq3k6uqa7fOkpqbKZDLJzo7vPwEAAAAAAAAAgLyLpMRGJSQkaPv27Zo5c6ZatmypsmXLqmHDhgoODlaHDh2s7ebMmaNatWqpYMGCKlOmjIYMGaLExETr8bCwMLm6umrz5s2qVq2aXFxc1KZNG50/f/6BNRQrVkyenp7WrUiRIoqIiJDJZNK3334rb29vOTg4aMeOHTp58qQ6duyoEiVKyMXFRQ0aNNDWrVvT9Ofl5aXp06erX79+KlSokJ566il9/PHHadr8/vvv6tatm9zc3FSwYEH5+Pho7969ktLPZo6IiFDDhg1VsGBBubq6qmnTpjpz5oz1+DfffKMGDRrI0dFRxYsX14svvmg9duXKFfXq1UtFixaVs7Oznn/+eR0/fjxzg/P/rV+/Xm+//bbatm0rLy8veXt7a9iwYerXr5+1zYoVK+Tj46NChQrJ09NT3bt3V1xcXJprMJlMCg8Pl4+Pj5ydndWkSRMdPXr0gefv3bu3Vq9erRs3blj3LVmyRL17907XdtSoUapcubKcnZ1Vvnx5jRs3Trdu3ZJ05z0yadIkHThwwDoDPSwsTNKd9+Hrr78ud3d3FS5cWK1atdKBAwfS9P3hhx+qQoUKKlCggKpUqaIVK1Y81Ov4zTffqGnTpvr3v/+tKlWqqHLlyurUqZPef/99a5uceH+VK1dOklSvXj2ZTCa1aNFCkvTTTz/p2WefVfHixVWkSBH5+flp//7996357bffVkxMjPbu3avevXurevXqqly5sgICAhQVFXXPL29k9ud1/fr1ql69uhwcHHT27Nks1QgAAAAAAAAAAGArCMVt1N1Z0evWrVNycvI929nZ2WnBggX67bfftGzZMn3//fcaOXJkmjZJSUkKDQ3VihUr9OOPP+rs2bMaMWJEtuobPXq0ZsyYoSNHjqh27dpKTExU27ZtFR4erl9++UVt2rRR+/btdfbs2TTPmz17tnx8fPTLL79oyJAhGjx4sDUATkxMlJ+fn86dO6f169frwIEDGjlypMxmc7rz3759W506dZKfn58OHjyo3bt3a8CAATKZTJKkDRs26MUXX1Tbtm31yy+/KDw8XA0bNrQ+v0+fPvr555+1fv167d69WxaLRW3btrUGxZnh6empjRs36s8//7xnm1u3bmnKlCk6cOCA1q1bp5iYGPXp0ydduzFjxmj27Nn6+eeflS9fvjTB+r14e3vLy8tLX3zxhSTp7Nmz+vHHH/Xaa6+la1uoUCGFhYXp8OHDmj9/vhYtWqS5c+dKkrp06aK33npLNWrU0Pnz53X+/Hl16dJFkvTKK68oLi5O3377rSIjI1W/fn0988wz1pnoX331lf71r3/prbfe0q+//qqBAweqb9++2rZt2wPrv8vT01O//fabfv3113u2yYn31759+yTdWQHh/Pnz+vLLLyVJf/75p3r37q0dO3Zoz549qlSpktq2bXvPcTWbzVq9erV69OihUqVKpTvu4uJyz5UTMvvzOnPmTC1evFi//fabPDw8HrrG5ORkXbt2zbrdDd7tJNnJwmbQZsoFNeT1LatjYDab2XJos1h4PY3eGAPjN8bA+I0xMH5jDP7aAAAAAACZw/LpNipfvnwKCwtTQECAFi5cqPr168vPz09du3ZV7dq1re3+ft9lLy8vTZ06VYMGDdIHH3xg3X/r1i0tXLhQFSpUkCQFBgZq8uTJD6yhSZMmaZZt3r59u/W/J0+erGeffdb62M3NTXXq1LE+njJlir766iutX79egYGB1v1t27bVkCFDJN2ZvTx37lxt27ZNVapU0WeffaaLFy/qp59+kpubmySpYsWKGdZ27do1Xb16Ve3atbNeV7Vq1azHp02bpq5du2rSpEnWfXfrO378uNavX6+dO3eqSZMmkqSVK1eqTJkyWrdunV555ZUHvjaS9PHHH6tHjx4qVqyY6tSpo2bNmunll19W06ZNrW3+Hm6XL19eCxYsUIMGDZSYmJhmNvG0adPk5+cn6c4XDl544QXdvHlTjo6O962hX79+WrJkiXr27KmwsDC1bdtW7u7u6dqNHTvW+t9eXl4aMWKEVq9erZEjR8rJycka5Hp6elrb7dixQ/v27VNcXJwcHBwkSaGhoVq3bp3+85//aMCAAQoNDVWfPn2sYxoUFKQ9e/YoNDRULVu2zNTrOGzYMG3fvl21atVS2bJl1ahRIz333HPq0aOH9bx16tTJ9vvr7utydwWEu1q1apWmno8//liurq764Ycf1K5du3T1Xrp0SVeuXFHVqlUzdX1/l9mf1w8++CDN9T5sjSEhIWne+3eVKywVKsr9zo1gJ+n/XCSTJLMYAyNkZwz+vsIHss5sNuvq1auyWCzcFsIgjIHxGAPjMQbGYwz+8iTd9goAAAAAjEYobsM6d+6sF154Qdu3b9eePXv07bffatasWVq8eLF1tvHWrVsVEhKi6OhoXbt2Tbdv39bNmzeVlJQkZ2dnSZKzs7M1OJakkiVLZuoP/GvWrEkTNJcpU0a7d++WJPn4+KRpm5iYqIkTJ2rDhg06f/68bt++rRs3bqSbyfv3QN9kMsnT09NaS1RUlOrVq2cNxO/Hzc1Nffr0kb+/v5599lm1bt1ar776qkqWLGntKyAgIMPnHjlyRPny5ZOvr691X7FixVSlShUdOXLkgee+6+mnn9apU6e0Z88e7dq1S+Hh4Zo/f74mTZqkcePGSZIiIyM1ceJEHThwQFeuXLHOBDh79qyqV6+e4ety9xri4uL01FNP3beGnj17avTo0Tp16pTCwsK0YMGCDNutWbNGCxYs0MmTJ5WYmKjbt2+rcOHC9+37wIEDSkxMVLFixdLsv3Hjhk6ePCnpzms5YMCANMebNm2q+fPn37fvvytYsKA2bNigkydPatu2bdqzZ4/eeustzZ8/X7t375azs3OOvL/u5cKFCxo7dqwiIiIUFxen1NRUJSUlpev7Losl64FmZn5eCxQokOY6slJjcHCwgoKCrI+joqLk5+en09ek/M6mLNePrLOTRRZJ0VcksxgDI2RnDDw8PB5NUXmM2WyWyWSSu7t7ng9BjMIYGI8xMB5jYDzG4C+Z+bcvAAAAAOAOQnEb5+joqGeffVbPPvusxo0bp9dff10TJkxQnz59FBMTo3bt2mnw4MGaNm2a3NzctGPHDvXv318pKSnWkC1//vxp+jSZTJkK9sqUKXPPmdoFCxZM83jEiBHasmWLQkNDVbFiRTk5Oenll19WSkpKmnYZ1XI3KHZycnpgTX+3dOlSDR8+XJs2bdKaNWs0duxYbdmyRY0aNXrovrIqf/78at68uZo3b65Ro0Zp6tSpmjx5skaNGqVbt27J399f/v7+Wrlypdzd3XX27Fn5+/vf93W5uwR8ZpbSK1asmNq1a6f+/fvr5s2bev7559Mtqb1792716NFDkyZNkr+/v4oUKaLVq1dr9uzZ9+07MTFRJUuWVERERLpjrq6uD6ztYVWoUEEVKlTQ66+/rjFjxqhy5cpas2aN+vbtmyPvr3vp3bu34uPjNX/+fJUtW1YODg5q3Lhxur7vcnd3l6urq6Kjox/q+jL78+rk5GR9D2S1RgcHB+sse0nWVQnMIpA1kkV3Xn/GwDhZHYO8/gf7nGQymWRnZ8draiDGwHiMgfEYA+MxBnfk9esHAAAAgIfBv6DymOrVq+v69euS7sxCNpvNmj17tho1aqTKlSvrjz/+MKSunTt3qk+fPnrxxRdVq1YteXp6KiYm5qH6qF27tqKioh5qCbl69eopODhYu3btUs2aNfXZZ59Z+woPD8/wOdWqVdPt27e1d+9e6774+HgdPXo0zeztrKhevbp19m90dLTi4+M1Y8YMNW/eXFWrVn0kS/D269dPERER6tWrl+zt7dMd37Vrl8qWLasxY8bIx8dHlSpV0pkzZ9K0KVCggFJTU9Psq1+/vmJjY5UvXz5VrFgxzVa8eHFJd17LnTt3pnnezp07s/06enl5ydnZ2fpez4n3V4ECBSQp3XXu3LlTw4cPV9u2bVWjRg05ODjo0qVL9+zHzs5OXbt21cqVKzP8ebs7E/+fsvPz+rA1AgAAAAAAAAAA2BJCcRsVHx+vVq1a6dNPP9XBgwd1+vRprV27VrNmzVLHjh0l3bnf9q1bt/Tuu+/q1KlTWrFihRYuXGhIvZUqVdKXX36pqKgoHThwQN27d8/UTOe/69atmzw9PdWpUyft3LlTp06d0hdffGFdsv3vTp8+reDgYO3evVtnzpzRd999p+PHj1uXe58wYYJWrVqlCRMm6MiRIzp06JBmzpxprbVjx44KCAjQjh07dODAAfXs2VOlS5e2vraZ0aJFC3300UeKjIxUTEyMNm7cqLffflstW7ZU4cKF9dRTT6lAgQLW8Vm/fr2mTJnyUK9JZrRp00YXL168533iK1WqpLNnz2r16tU6efKkFixYoK+++ipNGy8vL50+fVpRUVG6dOmSkpOT1bp1azVu3FidOnXSd999p5iYGO3atUtjxozRzz//LEn697//rbCwMH344Yc6fvy45syZoy+//FIjRozIdP0TJ07UyJEjFRERodOnT+uXX35Rv379dOvWLet963Pi/eXh4SEnJydt2rRJFy5c0NWrV619r1ixQkeOHNHevXvVo0ePB640MG3aNJUpU0a+vr5avny5Dh8+rOPHj2vJkiWqV6+eEhMT0z0nOz+vWakRAAAAAAAAAADAVhCK2ygXFxf5+vpq7ty5evrpp1WzZk2NGzdOAQEBeu+99yRJderU0Zw5czRz5kzVrFlTK1euVEhIiCH1zpkzR0WLFlWTJk3Uvn17+fv7q379+g/VR4ECBfTdd9/Jw8NDbdu2Va1atTRjxowMZz87OzsrOjpanTt3VuXKlTVgwAANHTpUAwcOlHQnsF67dq3Wr1+vunXrqlWrVtq3b5/1+UuXLpW3t7fatWunxo0by2KxaOPGjemWMQ8LC7tnvf7+/lq2bJmee+45VatWTcOGDZO/v78+//xzSXeW2Q4LC9PatWtVvXp1zZgxQ6GhoQ/1mmSGyWRS8eLFrTOh/6lDhw568803FRgYqLp162rXrl3We57f1blzZ7Vp00YtW7aUu7u7Vq1aJZPJpI0bN+rpp59W3759VblyZXXt2lVnzpxRiRIlJEmdOnXS/PnzFRoaqho1auijjz7S0qVL1aJFC2vfffr0SfP4n/z8/HTq1Cn16tVLVatW1fPPP6/Y2Fh99913qlKliqSceX/ly5dPCxYs0EcffaRSpUpZvwDxySef6MqVK6pfv75ee+01DR8+/IH3D3Zzc9OePXvUs2dPTZ06VfXq1VPz5s21atUqvfPOOypSpEi652Tn5zUrNQIAAAAAAAAAANgKkyUzN4cG8FBOnz6typUr6/Dhw6pUqZLR5TzR/Pz81LJlS02cONHoUvKs/fv3y9vbW6V6z1V+T97PRrCTRdWKWnTkCvcUN0p2xiBmxguPqKq8xWw2Ky4uTh4eHtxD1SCMgfEYA+MxBsZjDP5y9/f0yMjIh/7SL7ImN73mXx49b+j5YaMsFikxQXJxlUz82xM556UqJY0u4YliMuX8xCjkbXZ2krd3QUVGXtdDLqAKPJDFkvmVfx+VzP6enu8x1gTkGRs3btSAAQMIxLPp6tWrOnnypDZs2GB0KQAAAAAAAAAAAHhCEYoDj8DQoUONLsEmFClSRL///rvRZQAAAAAAAAAAAOAJlrfXGgMAAAAAAAAAAAAA2DRCcQAAAAAAAOQq77//vry8vOTo6ChfX1/t27fvnm1/++03de7cWV5eXjKZTJo3b162+wQAAABgWwjFAQAAAAAAkGusWbNGQUFBmjBhgvbv3686derI399fcXFxGbZPSkpS+fLlNWPGDHl6euZInwAAAABsC/cUBwAAAAAAQK4xZ84cBQQEqG/fvpKkhQsXasOGDVqyZIlGjx6drn2DBg3UoEEDScrweFb6lKTk5GQlJydbHycmJkqSzGazzGZz1i8wJ1gsxp4ftsli+WsDcpDhn5lPGDumMiKH2dlJJhPvLTwaueEzPrM1EIoDAAAAAAAgV0hJSVFkZKSCg4Ot++zs7NS6dWvt3r37sfYZEhKiSZMmpdt/+fJl42eYJyYYe37YrpvX7yQnQA6KiyOJexje3gWNLgE2xmSSKlZ0kMT3npDzDP+9WHd+P88MQnEAAAAAAADkCpcuXVJqaqpKlCiRZn+JEiUUHR39WPsMDg5WUFCQ9XFUVJT8/Pzk5uYmDw+PLNWSYxKMn5EDG3R3lnjBIgTjyFGGf2Y+YSIjrxtdAmzM3Rni+/dfVy6Y1Asbkxs+493c3DLVjlAcAAAAAAAA+AcHBwc5ODhYH7u4uEi6M8vczuj1Rwks8aiYTH9tQA4x/DPzCUNoiUfBYrnz3uL9hZyWGz7jM1uD8ZUCAAAAAAAAkooXLy57e3tduHAhzf4LFy7I09Mz1/QJAAAA4MlCKA4AAAAAAIBcoUCBAvL29lZ4eLh1n9lsVnh4uBo3bpxr+gQAAADwZGH5dAAAAAAAAOQaQUFB6t27t3x8fNSwYUPNmzdP169fV9++fSVJvXr1UunSpRUSEiJJSklJ0eHDh63/fe7cOUVFRcnFxUUVK1bMVJ8AAAAAbBuhOAAAAAAAAHKNLl266OLFixo/frxiY2NVt25dbdq0SSVKlJAknT17Ns19A//44w/Vq1fP+jg0NFShoaHy8/NTREREpvoEAAAAYNsIxQEAAAAAAJCrBAYGKjAwMMNjd4Puu7y8vGSxWLLVJwAAAADbxj3FAQAAAAAAAAAAAAA2i1AcAAAAAAAAAAAAAGCzCMUBAAAAAAAAAAAAADaLUBwAAAAAAAAAAAAAYLMIxQEAAAAAAAAAAAAANotQHAAAAAAAAAAAAABgswjFAQAAAAAAAAAAAAA2i1AcAAAAAAAAAAAAAGCzCMUBAAAAAAAAAAAAADaLUBwAAAAAAAAAAAAAYLMIxQEAAAAAAAAAAAAANotQHAAAAAAAAAAAAABgswjFAQAAAAAAAAAAAAA2i1AcAAAAAAAAAAAAAGCzCMUBAAAAAAAAAAAAADaLUBwAAAAAAAAAAAAAYLMIxQEAAAAAAAAAAAAANotQHAAAAAAAAAAAAABgs/IZXQAA4MnwdWAz+fj4GF1GnmQ2mxUXFycPDw/Z2fF9NiMwBgAAAAAAAADw5OKvugAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm0UoDgAAAAAAAAAAAACwWYTiAAAAAAAAAAAAAACbRSgOAAAAAAAAAAAAALBZhOIAAAAAAAAAAAAAAJtFKA4AAAAAAAAAAAAAsFmE4gAAAAAAAAAAAAAAm5XP6AIAAE+Gju/tUH7PC0aXYTNiZrxgdAkAAAAAAAAAAOQJzBQHAAAAAAAAAAAAANgsQnEAAAAAAAAAAAAAgM0iFAcAAAAAAAAAAAAA2CxCcQAAAAAAAAAAAACAzSIUBwAAAAAAAAAAAADYLEJxAAAAAAAAAAAAAIDNIhQHAAAAAAAAAAAAANgsQnEAAAAAAAAAAAAAgM0iFAcAAAAAAAAAAAAA2CxCcQAAAAAAAAAAAACAzSIUBwAAAAAAAAAAAADYLEJxAAAAAAAAAAAAAIDNIhQHAAAAAAAAAAAAANgsQnEAAAAAAAAAAAAAgM0iFAcAAAAAAAAAAAAA2CxCcQAAAAAAAAAAAACAzSIUBwAAAAAAAAAAAADYLEJxAAAAAAAAAAAAAIDNIhQHAAAAAAAAAAAAANgsQnEAAAAAAAAAAAAAgM0iFAcAAAAAAAAAAAAA2CxCcQAAAAAAAAAAAACAzSIUBwAAAAAAAAAAAADYLEJxAAAAAAAAAAAAAIDNIhQHAAAAAABArvL+++/Ly8tLjo6O8vX11b59++7bfu3atapataocHR1Vq1Ytbdy4Mc3xPn36yGQypdnatGnzKC8BAAAAQC5CKA4AAAAAAIBcY82aNQoKCtKECRO0f/9+1alTR/7+/oqLi8uw/a5du9StWzf1799fv/zyizp16qROnTrp119/TdOuTZs2On/+vHVbtWrV47gcAAAAALkAoTgAAAAAAAByjTlz5iggIEB9+/ZV9erVtXDhQjk7O2vJkiUZtp8/f77atGmjf//736pWrZqmTJmi+vXr67333kvTzsHBQZ6entataNGij+NyAAAAAOQC+YwuAAAAAAAAAJCklJQURUZGKjg42LrPzs5OrVu31u7duzN8zu7duxUUFJRmn7+/v9atW5dmX0REhDw8PFS0aFG1atVKU6dOVbFixe5ZS3JyspKTk62PExMTJUlms1lms/lhLy1nWSzGnh+2yWL5awNykOGfmU8YO6YyIofZ2en/tXfn8TVd+//H3ychA5lEEkmEJCJmITE1ouIWDUXpQLhaiap+q5QWoVqE1FQVpdUBrYSWG63pdkCLa6bmVGuqKNJbY2tMjE327w+/nOs0g1B19OT1fDz2496z9tprf9ZZunfO+Zy1tkwm/m3hr3E/XOOLGwNJcQAAAAAAANwXfv31V+Xk5KhChQoW5RUqVND+/fsLPObEiRMF1j9x4oT5dZs2bfT4448rODhYhw4d0quvvqq2bdtq8+bNsre3L7Dd8ePHa/To0fnKz5w5U+hS7vdM1jnrnh+260r2jcwJcBedOkUm7nY0aFDW2iHAxphMUtWqjpL43RPuPqv/Xawbf58XB0lxAAAAAAAA2LSuXbua/3/dunUVFhamkJAQrVmzRi1btizwmGHDhlnMQE9PT1d0dLQ8PT3l4+Pzl8dcpHPWn5EDG5Q3S7ysO4lx3FVWv2b+zezYkW3tEGBj8maI79yZrftgUi9szP1wjff09CxWPZLiAAAAAAAAuC94eXnJ3t5eJ0+etCg/efKkfH19CzzG19f3tupLUpUqVeTl5aWMjIxCk+KOjo5ydHQ0v3ZxcZF0Yzl3O2uvP0rCEn8Vk+l/G3CXWP2a+TdD0hJ/BcO48W+Lf1+42+6Ha3xxY7B+pAAAAAAAAIAkBwcHNWjQQKtWrTKX5ebmatWqVYqMjCzwmMjISIv6krRixYpC60vSf//7X/3222/y8/O7O4EDAAAAuK+RFAcAAAAAAMB9Y+DAgZo5c6Zmz56tffv2qU+fPsrOzlbPnj0lST169NCwYcPM9QcMGKDly5crOTlZ+/fv16hRo7R9+3b169dPkpSVlaWEhAR9++23OnLkiFatWqWOHTuqatWqiomJsUofAQAAANxbLJ8OAAAAAACA+0ZsbKxOnz6tkSNH6sSJE6pfv76WL1+uChUqSJIyMzMtlkhs2rSp5s2bp+HDh+vVV19VaGiolixZojp16kiS7O3ttXv3bs2ePVvnzp2Tv7+/Hn74Yb3++usWy6MDAAAAsF0kxQH8bcXHx+vcuXNasmSJtUMBAAAAANxF/fr1M8/0/qM1a9bkK+vcubM6d+5cYH1nZ2d9/fXXdzM8AAAAAH8zLJ8O/M3Fx8erU6dO9/y8MTExsre317Zt2+75ua1h4cKFsre31y+//FLg/tDQUA0cOPCunKtFixZ66aWX7kpbAAAAAAAAAAAAJR1JcQC3LTMzU5s2bVK/fv00a9Ysa4dzTzz66KMqX768Zs+enW/funXrlJGRoV69elkhssJdu3bN2iEAAAAAAAAAAABYHUlxwMatXbtWjRs3lqOjo/z8/PTKK6/o999/N+9fsGCB6tatK2dnZ5UvX16tWrVSdnZ2kW2mpKSoffv26tOnj/71r3/p8uXLFvtbtGih/v37a8iQIfL09JSvr69GjRplUWf//v1q1qyZnJycVKtWLa1cuVImk8liKfSff/5ZXbp0kYeHhzw9PdWxY0cdOXKk0Lhyc3M1fvx4BQcHy9nZWfXq1dOCBQvM+8+ePavu3bvL29tbzs7OCg0NVUpKyq3fREmlS5fW008/rdTU1Hz7Zs2apSZNmqh27do6d+6cnn32WXl7e8vNzU0PPfSQvvvuO3PdUaNGqX79+vr4448VFBQkd3d3de3aVRcvXpR0Y+b/2rVrNXXqVJlMJplMJh05ckSpqany8PCwOO+SJUtkMpnytf3hhx8qODhYTk5OkqTly5erWbNm8vDwUPny5dW+fXsdOnSo0L5evXpVFy5cMG9ZWVmSbtww7GSw3aUtNzf3tjbDuP1j2O7uxhhYf2MMrL8xBtbfGAPrb4yB9TfG4H8bAAAAAKB4eKY4YMN++eUXPfLII4qPj9ecOXO0f/9+9e7dW05OTho1apSOHz+ubt26aeLEiXrsscd08eJFrV+/XoZhFNqmYRhKSUnRu+++qxo1aqhq1apasGCBnn76aYt6s2fP1sCBA7VlyxZt3rxZ8fHxioqKUuvWrZWTk6NOnTqpcuXK2rJliy5evKhBgwZZHH/9+nXFxMQoMjJS69evV6lSpTRmzBi1adNGu3fvloODQ77Yxo8fr08++UQffPCBQkNDtW7dOj311FPy9vZWdHS0RowYob1792rZsmXy8vJSRkZGvoR+UXr16qXJkydr3bp1at68uSQpKytLCxYs0FtvvSXpxnPsnJ2dtWzZMrm7u2v69Olq2bKlfvzxR3l6ekqSDh06pCVLlujLL7/U2bNn1aVLF02YMEFjx47V1KlT9eOPP6pOnTpKSkqSJHl7exc7xoyMDC1cuFCLFi2Svb29JCk7O1sDBw5UWFiYsrKyNHLkSD322GNKT0+XnV3+30aNHz9eo0ePzlce7Ca5liv83wZuz6lTp4pdNzc3V+fPn5dhGAWOGf56jIH1MQbWxxhYH2NgfYyB9TEG/3PmzBlrhwAAAAAAfxskxQEb9t5776lSpUqaNm2aTCaTatSooWPHjmno0KEaOXKkjh8/rt9//12PP/64AgMDJUl169Ytss2VK1fq0qVLiomJkSQ99dRT+uijj/IlxcPCwpSYmCjpxvO2p02bplWrVql169ZasWKFDh06pDVr1sjX11eSNHbsWLVu3dp8/Pz585Wbm6sPP/zQPBs6JSVFHh4eWrNmjR5++GGL8129elXjxo3TypUrFRkZKUmqUqWKNmzYoOnTpys6OlqZmZkKDw9Xw4YNJUlBQUG39X7WqlVLDzzwgGbNmmVOin/66acyDENdu3bVhg0btHXrVp06dUqOjo6SpEmTJmnJkiVasGCBnnvuOUk3vshLTU2Vq6urJOnpp5/WqlWrNHbsWLm7u8vBwUFlypQxvze349q1a5ozZ45FIv2JJ56wqDNr1ix5e3tr7969qlOnTr42hg0bZvF89PT0dEVHR+vwBal0GVO++rgzPj4+xa6bm5srk8kkb2/vEv/lr7UwBtbHGFgfY2B9jIH1MQbWxxj8T96PbgEAAAAAt0ZSHLBh+/btU2RkpMUS21FRUcrKytJ///tf1atXTy1btlTdunUVExOjhx9+WE8++aTKlStXaJuzZs1SbGysSpW6cfno1q2bEhISdOjQIYWEhJjrhYWFWRzn5+dnnhl74MABVapUySLp27hxY4v63333nTIyMsyJ4zxXrlwpcOnvjIwMXbp0ySKxLt1IEoeHh0uS+vTpoyeeeEI7d+7Uww8/rE6dOqlp06aF9rUgzzzzjF5++WW98847cnV11axZs9S5c2e5urrqu+++U1ZWlsqXL29xzOXLly1iDgoKsujXze/NnxUYGJhvZvnBgwc1cuRIbdmyRb/++qt5mcXMzMwCk+KOjo7mpL4kubi4SJJyJeWKpPjdcrtf4ppMJtnZ2ZX4L3+tiTGwPsbA+hgD62MMrI8xsD7G4IaS3n8AAAAAuB0kxYESzN7eXitWrNCmTZv0zTff6J133tFrr72mLVu2KDg4OF/9M2fOaPHixbp+/bref/99c3lOTo5mzZqlsWPHmstKly5tcazJZLqtZ95lZWWpQYMGmjt3br59BS0nnvfc66+++koVK1a02JeX4G3btq2OHj2qpUuXasWKFWrZsqX69u2rSZMmFTuurl276uWXX9ann36q5s2ba+PGjRo/frw5Bj8/P61ZsybfcTc/D/xO3hs7O7t8y9pfv349X72yZcvmK+vQoYMCAwM1c+ZM+fv7Kzc3V3Xq1NG1a9eKPCcAAAAAAAAAAIAtICkO2LCaNWtq4cKFMgzDPFt848aNcnV1VUBAgKQbCdmoqChFRUVp5MiRCgwM1OLFiy2Wz84zd+5cBQQEaMmSJRbl33zzjZKTk5WUlGR+jnVRqlevrp9//lknT55UhQoVJEnbtm2zqBMREaH58+fLx8dHbm5ut2yzVq1acnR0VGZmpqKjowut5+3trbi4OMXFxenBBx9UQkLCbSXFXV1d1blzZ82aNUuHDh1StWrV9OCDD5pjPnHihEqVKnXbS7PfzMHBQTk5OfnivnjxorKzs82J7/T09Fu29dtvv+nAgQOaOXOmOc4NGzbccWwAAAAAAAAAAAB/NyTFARtw/vz5fAnS8uXL64UXXtCUKVP04osvql+/fjpw4IASExM1cOBA2dnZacuWLVq1apUefvhh+fj4aMuWLTp9+rRq1qxZ4Hk++ugjPfnkk/mW3K5UqZKGDRum5cuXq127dreMt3Xr1goJCVFcXJwmTpyoixcvavjw4ZJkTt53795db775pjp27KikpCQFBATo6NGjWrRokYYMGWJO6udxdXXV4MGD9fLLLys3N1fNmjXT+fPntXHjRrm5uSkuLk4jR45UgwYNVLt2bV29elVffvlloX0tSq9evfTggw9q3759Gjp0qLm8VatWioyMVKdOnTRx4kRVq1ZNx44d01dffaXHHnvM/CzzWwkKCtKWLVt05MgRubi4yNPTU02aNFGZMmX06quvqn///tqyZYtSU1Nv2Va5cuVUvnx5zZgxQ35+fsrMzNQrr7xy230GAAAAAAAAAAD4u+IBVIANWLNmjcLDwy220aNHq2LFilq6dKm2bt2qevXq6fnnn1evXr3MCWg3NzetW7dOjzzyiKpVq6bhw4crOTlZbdu2zXeOHTt26LvvvtMTTzyRb5+7u7tatmypjz76qFjx2tvba8mSJcrKylKjRo307LPP6rXXXpMkOTk5SZLKlCmjdevWqXLlynr88cdVs2ZN9erVS1euXCl05vjrr7+uESNGaPz48apZs6batGmjr776yrwUvIODg4YNG6awsDA1b95c9vb2SktLMx/fokULxcfH3zL+Zs2aqXr16rpw4YJ69OhhLjeZTFq6dKmaN2+unj17qlq1auratauOHj1qnhFfHIMHD5a9vb1q1aolb29vZWZmytPTU5988omWLl2qunXr6l//+pdGjRp1y7bs7OyUlpamHTt2qE6dOnr55Zf15ptvFjsWAAAAAAAAAACAvzuT8ceH1AKAFWzcuFHNmjVTRkaGQkJCrBJDYGCgRo8eXazEeEmyc+dONWjQQP5xb6m0b6i1w7EZRybcelWFPLm5uTp16pR8fHxkZ8fv2ayBMbA+xsD6GAPrYwysjzGwPsbgf/L+Tt+xY4ciIiKsHU6JcD+954sOHLfq+WGjDEPKOie5eEj/fyU/4G54vLqftUP4WzGZiv+oR6A47OykBg3KaseObOXmWjsa2BrDGGztEIr9dzrLpwOwisWLF8vFxUWhoaHKyMjQgAEDFBUVZbWE+J49e+Tu7m4x8xsAAAAAAAAAAAB/fyTFAVjFxYsXNXToUGVmZsrLy0utWrVScnKy1eKpXbu2du/ebbXzAwAAAAAAAAAA4K9BUhyAVfTo0YNZ2QAAAAAAAAAAAPjLlewHcAEAAAAAAAAAAAAAbBpJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBmkRQHAAAAAAAAAAAAANgskuIAAAAAAAAAAAAAAJtFUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBmkRQHAAAAAAAAAAAAANgskuIAAAAAAAAAAAAAAJtFUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBmkRQHAAAAAAAAAAAAANgskuIAAAAAAAAAAAAAAJtFUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBmlbJ2AACAv4d/92umhg0bWjsMAAAAAAAAAACA28JMcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBmkRQHAAAAAAAAAAAAANgskuIAAAAAAAAAAAAAAJtFUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBmkRQHAAAAAAAAAAAAANgskuIAAAAAAAAAAAAAAJtFUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAA7ivvvvuugoKC5OTkpCZNmmjr1q1F1v/ss89Uo0YNOTk5qW7dulq6dKnFfsMwNHLkSPn5+cnZ2VmtWrXSwYMH/8ouAAAAALiPkBQHAAAAAADAfWP+/PkaOHCgEhMTtXPnTtWrV08xMTE6depUgfU3bdqkbt26qVevXtq1a5c6deqkTp066YcffjDXmThxot5++2198MEH2rJli8qWLauYmBhduXLlXnULAAAAgBWRFAcAAAAAAMB9Y/Lkyerdu7d69uypWrVq6YMPPlCZMmU0a9asAutPnTpVbdq0UUJCgmrWrKnXX39dERERmjZtmqQbs8SnTJmi4cOHq2PHjgoLC9OcOXN07NgxLVmy5B72DAAAAIC1lLJ2AACA+9vly5clSfv375edHb+lsobc3FydOXNGnp6ejIGVMAbWxxhYH2NgfYyB9TEG1scY/M++ffsk/e/vdVtx7do17dixQ8OGDTOX2dnZqVWrVtq8eXOBx2zevFkDBw60KIuJiTEnvA8fPqwTJ06oVatW5v3u7u5q0qSJNm/erK5duxbY7tWrV3X16lXz619//VWStHfvXuXm5t5R/+6Wn47+ZtXzw1YZ0qWLUhlXSSZrBwMbsv3iL9YO4W/FZPqvtUOAjTGZpEuXnGUyXZaJyzvusu3bt1s7BO3fv1/SrT8bkRQHABQpIyNDkvT0009bORIAAAAAf3TkyBFFRUVZO4y75tdff1VOTo4qVKhgUV6hQgXzl11/dOLEiQLrnzhxwrw/r6ywOgUZP368Ro8ena+cz0YAAODvJCdH2rPH2lHAVjVqNNXaIZjd6rMRSXEAQJEefPBBSdLXX38tLy8vK0dTMmVlZSk6Olpr166Vi4uLtcMpkRgD62MMrI8xsD7GwPoYA+tjDP7n8uXLOnLkiGJiYqwdis0aNmyYxQz0X3/9VevXr1fVqlXl7OxsxciAvwbXWACwTVzfYeuK+9mIpDgAoEh5ifAHHnhAbm5uVo6mZLpw4YIkqX79+oyBlTAG1scYWB9jYH2MgfUxBtbHGFiypRnieby8vGRvb6+TJ09alJ88eVK+vr4FHuPr61tk/bz/PXnypPz8/Czq1K9fv9BYHB0d5ejoaH7t5uamKlWq3FZ/gL8TrrEAYJu4vqMkKM5no5L9AC4AAAAAAADcNxwcHNSgQQOtWrXKXJabm6tVq1YpMjKywGMiIyMt6kvSihUrzPWDg4Pl6+trUefChQvasmVLoW0CAAAAsC3MFAcAAAAAAMB9Y+DAgYqLi1PDhg3VuHFjTZkyRdnZ2erZs6ckqUePHqpYsaLGjx8vSRowYICio6OVnJysdu3aKS0tTdu3b9eMGTMkSSaTSS+99JLGjBmj0NBQBQcHa8SIEfL391enTp2s1U0AAAAA9xBJcQBAkRwdHZWYmGixbCDuLcbA+hgD62MMrI8xsD7GwPoYA+tjDEqG2NhYnT59WiNHjtSJEydUv359LV++XBUqVJAkZWZmys7uf4sfNm3aVPPmzdPw4cP16quvKjQ0VEuWLFGdOnXMdYYMGaLs7Gw999xzOnfunJo1a6bly5fLycnpnvcPuF9xjQUA28T1HbjBZBiGYe0gAAAAAAAAAAAAAAD4K/BMcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAgBLHZDJpyZIld7XNUaNGqX79+ne1TRTtyJEjMplMSk9Pt3YoAGxMce4T8fHx6tSp0z2Jp6Ro0aKFXnrpJWuHARtEUhwAUKR3331XQUFBcnJyUpMmTbR161Zrh1RirFu3Th06dJC/v/9f8mUNbm38+PFq1KiRXF1d5ePjo06dOunAgQPWDqtEef/99xUWFiY3Nze5ubkpMjJSy5Yts3ZYJdaECRNkMpn4cHoPjRo1SiaTyWKrUaOGtcMqcX755Rc99dRTKl++vJydnVW3bl1t377d2mGVGEFBQfn+OzCZTOrbt6+1QwNwHzt9+rT69OmjypUry9HRUb6+voqJidHGjRvNdY4fP662bdtaMcqiLVy4UC1atJC7u7tcXFwUFhampKQknTlz5p7GcbcS/WvWrLG4jleoUEFPPPGEfvrppz/VbqVKlXT8+HHVqVPnT8cokWQH/q7i4+NlMpn0/PPP59vXt29fmUwmxcfH33H7hV0bpk6dqtTU1Fsen5GRoZ49eyogIECOjo4KDg5Wt27d7vnnirt5jbv57/SyZcsqIiJCn3322Z9ud9GiRXr99df/dDt5SLIjD0lxAECh5s+fr4EDByoxMVE7d+5UvXr1FBMTo1OnTlk7tBIhOztb9erV07vvvmvtUEqstWvXqm/fvvr222+1YsUKXb9+XQ8//LCys7OtHVqJERAQoAkTJmjHjh3avn27HnroIXXs2FF79uyxdmglzrZt2zR9+nSFhYVZO5QSp3bt2jp+/Lh527Bhg7VDKlHOnj2rqKgolS5dWsuWLdPevXuVnJyscuXKWTu0EmPbtm0W/w2sWLFCktS5c2crRwbgfvbEE09o165dmj17tn788Ud9/vnnatGihX777TdzHV9fXzk6OloxysK99tprio2NVaNGjbRs2TL98MMPSk5O1nfffaePP/7Y2uH9KQcOHNCxY8f02Wefac+ePerQoYNycnLy1TMMQ7///vst27O3t5evr69KlSr1V4QL4G+kUqVKSktL0+XLl81lV65c0bx581S5cuW/5Jzu7u7y8PAoss727dvVoEED/fjjj5o+fbr27t2rxYsXq0aNGho0aNBfEte9kpSUpOPHj2vXrl1q1KiRYmNjtWnTpgLrXrt2rVhtenp6ytXV9W6GCdxgAABQiMaNGxt9+/Y1v87JyTH8/f2N8ePHWzGqkkmSsXjxYmuHUeKdOnXKkGSsXbvW2qGUaOXKlTM+/PBDa4dRoly8eNEIDQ01VqxYYURHRxsDBgywdkglRmJiolGvXj1rh1GiDR061GjWrJm1w8BNBgwYYISEhBi5ubnWDgXAfers2bOGJGPNmjVF1rv5c9bhw4cNScbChQuNFi1aGM7OzkZYWJixadMmi2NmzJhhBAQEGM7OzkanTp2M5ORkw93d3by/oHv3zJkzjRo1ahiOjo5G9erVjXfffbfIuLZs2WJIMqZMmVJo//K89957RpUqVYzSpUsb1apVM+bMmWPel9enXbt2WRwryVi9erVhGIaxevVqQ5KxcuVKo0GDBoazs7MRGRlp7N+/3zAMw0hJSTEkWWwpKSlGz549jXbt2lnEde3aNcPb27vQv9XzznVz/HPnzjUkGfv37zfvX7p0qREREWGULl3aWL16tXHlyhXjxRdfNLy9vQ1HR0cjKirK2Lp1a5H9/P777402bdoYZcuWNXx8fIynnnrKOH36tHl/Tk6O8cYbbxghISGGg4ODUalSJWPMmDGGYRj5+hsdHW2Ov1GjRkaZMmUMd3d3o2nTpsaRI0cK7CuAey8uLs7o2LGjUadOHeOTTz4xl8+dO9cICwszOnbsaMTFxZnLAwMDjbfeesuijXr16hmJiYnm1zffJwq7NuSdtzC5ublG7dq1jQYNGhg5OTn59t98Tdy9e7fxj3/8w3BycjI8PT2N3r17GxcvXjTvL+jzeEH9Gjt2rNGzZ0/DxcXFqFSpkjF9+nSLPv2xH2vXrjVKlSplHD9+3KLtAQMGFPlZ6I/v4fXr140yZcoYr7zyinl/UlKS8fTTTxuurq7mOBcsWGDUqlXLcHBwMAIDA41JkyZZtPvHfl65csUYNGiQ4e/vb5QpU8Zo3Lix+T6WZ8OGDUZ0dLTh7OxseHh4GA8//LBx5swZIy4uLl+fDx8+bJw5c8b45z//aXh5eRlOTk5G1apVjVmzZhXaV9gGZooDAAp07do17dixQ61atTKX2dnZqVWrVtq8ebMVIwOs5/z585Ju/GIV915OTo7S0tKUnZ2tyMhIa4dTovTt21ft2rWzuCfg3jl48KD8/f1VpUoVde/eXZmZmdYOqUT5/PPP1bBhQ3Xu3Fk+Pj4KDw/XzJkzrR1WiXXt2jV98skneuaZZ2QymawdDoD7lIuLi1xcXLRkyRJdvXr1to597bXXNHjwYKWnp6tatWrq1q2bebbyxo0b9fzzz2vAgAFKT09X69atNXbs2CLbmzt3rkaOHKmxY8dq3759GjdunEaMGKHZs2cXeYyLi4teeOGFAvfnzUhcvHixBgwYoEGDBumHH37Q//3f/6lnz55avXr1bfU5r9/Jycnavn27SpUqpWeeeUaSFBsbq0GDBlmsXBMbG6tnn31Wy5cv1/Hjx81tfPnll7p06ZJiY2OLfV5nZ2dJlrMHX3nlFU2YMEH79u1TWFiYhgwZooULF2r27NnauXOnqlatqpiYmEKXkT937pweeughhYeHa/v27Vq+fLlOnjypLl26mOsMGzZMEyZM0IgRI7R3717NmzdPFSpUkCTzY+NWrlyp48ePa9GiRfr999/VqVMnRUdHa/fu3dq8ebOee+457kXAfeiZZ55RSkqK+fWsWbPUs2fPP91uQdeG4khPT9eePXs0aNAg2dnlT8nlXdOzs7MVExOjcuXKadu2bfrss8+0cuVK9evX77ZjTU5OVsOGDbVr1y698MIL6tOnj/lxgAX1o3nz5qpSpYrFSiTXr1/X3LlzzfeD4ihVqpRKly5tcU2fNGmS6tWrp127dmnEiBHasWOHunTpoq5du+r777/XqFGjNGLEiCKXoO/Xr582b96stLQ07d69W507d1abNm108OBBSTfe45YtW6pWrVravHmzNmzYYF6FZOrUqYqMjFTv3r3N97FKlSqZr//Lli3Tvn379P7778vLy+t23mb8DbGmDACgQL/++qtycnLMHwrzVKhQQfv377dSVID15Obm6qWXXlJUVNRde1Ydiuf7779XZGSkrly5IhcXFy1evFi1atWydlglRlpamnbu3Klt27ZZO5QSqUmTJkpNTVX16tV1/PhxjR49Wg8++KB++OEHlpO7R3766Se9//77GjhwoF599VVt27ZN/fv3l4ODg+Li4qwdXomzZMkSnTt37k89DxKA7StVqpRSU1PVu3dvffDBB4qIiFB0dLS6du16y0fBDB48WO3atZMkjR49WrVr11ZGRoZq1Kihd955R23bttXgwYMlSdWqVdOmTZv05ZdfFtpeYmKikpOT9fjjj0uSgoODtXfvXk2fPr3Q+8jBgwdVpUoVlS5dushYJ02apPj4eHPyfODAgfr22281adIk/eMf/yjy2D8aO3asoqOjJd1ISrdr105XrlyRs7OzXFxcVKpUKfn6+prrN23aVNWrV9fHH3+sIUOGSJJSUlLUuXNnubi4FOucx48f16RJk1SxYkVVr17dvNxuUlKSWrduLelGkuj9999Xamqq+fnvM2fO1IoVK/TRRx8pISEhX7vTpk1TeHi4xo0bZy6bNWuWKlWqpB9//FF+fn6aOnWqpk2bZh6DkJAQNWvWTJLk7e0tSSpfvry5z2fOnNH58+fVvn17hYSESJJq1qxZrH4CuLeeeuopDRs2TEePHpV04wdNaWlpWrNmzZ9qt6BrQ3HkJW5r1KhRZL158+bpypUrmjNnjsqWLSvpxvWsQ4cOeuONN/J9R1uURx55xHxvGDp0qN566y2tXr1a1atXL7QfvXr1UkpKivm6+sUXX+jKlSsWPygqyrVr15ScnKzz58/roYceMpc/9NBDFkvEd+/eXS1bttSIESMk3biX7t27V2+++WaBf+NnZmYqJSVFmZmZ8vf3l3TjXr18+XKlpKRo3Lhxmjhxoho2bKj33nvPfFzt2rXN/9/BwUFlypSx6G9mZqbCw8PVsGFDSTeejw7bx0xxAACAYujbt69++OEHpaWlWTuUEqd69epKT0/Xli1b1KdPH8XFxWnv3r3WDqtE+PnnnzVgwADNnTtXTk5O1g6nRGrbtq06d+6ssLAwxcTEaOnSpTp37pw+/fRTa4dWYuTm5ioiIkLjxo1TeHi4nnvuOXOSBffeRx99pLZt25q/EAOAwjzxxBM6duyYPv/8c7Vp00Zr1qxRREREkTPRJFkkzf38/CRJp06dknTjWdiNGze2qP/H1zfLzs7WoUOH1KtXL/PsdRcXF40ZM0aHDh2SdONen1ee9wW+YRjF6uO+ffsUFRVlURYVFaV9+/YV6/ibFdXvwjz77LPm2ZgnT57UsmXLijWjMCAgQGXLlpW/v7+ys7O1cOFCOTg4mPfnJSgk6dChQ7p+/bpFP0uXLq3GjRsX2s/vvvtOq1evtnjP85JRhw4d0r59+3T16lW1bNnylrHm8fT0VHx8vGJiYtShQwdNnTrVYpY8gPuHt7e32rVrp9TUVKWkpKhdu3b3bAZw3kofedv69etv65per149c0JcunFNz83NNc/yLq6br+kmk0m+vr63vKbHx8crIyND3377rSQpNTVVXbp0sYinIEOHDpWLi4vKlCmjN954QxMmTDD/uEyyvKZLhd+7Dh48qJycnHztf//998rJyVG1atUs3tu1a9ea76V5M8VvR58+fZSWlqb69etryJAhhT4HHbaFmeIAgAJ5eXnJ3t5eJ0+etCg/efLkbf0aErAF/fr105dffql169YpICDA2uGUOA4ODqpataokqUGDBtq2bZumTp2q6dOnWzky27djxw6dOnVKERER5rKcnBytW7dO06ZN09WrV2Vvb2/FCEseDw8PVatWTRkZGdYOpcTw8/PLtzpFzZo1tXDhQitFVHIdPXpUK1euLPZSlQDg5OSk1q1bq3Xr1hoxYoSeffZZJSYmFrnaxM2zs/OWxs7Nzb2j82dlZUm6MbO5SZMmFvvy/ob68MMPdfnyZYtzV6tWTRs2bND169dvOVu8KHnL9N6ckLl+/XqBde+k3z169NArr7yizZs3a9OmTQoODtaDDz54y7jWr18vNzc3+fj4FLjyza0SMLeSlZVlnln5R35+fvrpp5/uqN2UlBT1799fy5cv1/z58zV8+HCtWLFCDzzwwJ+KF8Dd98wzz5iXHX/33XcLrGNnZ5cvYV3YNbK4Hn30UYvrfcWKFc0rbu7fv1/h4eF/qv3ixvzHe4fJZLrlNd3Hx0cdOnRQSkqKgoODtWzZsmLNrk9ISFB8fLxcXFxUoUKFfI+VuBvXdHt7e+3YsSPf9w95K5PkPYrjdrRt21ZHjx7V0qVLtWLFCrVs2VJ9+/bVpEmT/lS8uL8xUxwAUCAHBwc1aNBAq1atMpfl5uZq1apVPMsXJYZhGOrXr58WL16s//znPwoODrZ2SNCNa9HtPhsSd6Zly5b6/vvvlZ6ebt4aNmyo7t27Kz09nYS4FWRlZenQoUPmGVz460VFReWbmfHjjz8qMDDQShGVXCkpKfLx8bGYeQIAt6NWrVrKzs6+4+OrV6+e75EyRT1ipkKFCvL399dPP/2kqlWrWmx5ny0qVqxoLsu7t/zzn/9UVlaWxTKwNzt37pykGz/S2rhxo8W+jRs3mn/MlbdE7s0zmtPT04vf4f/PwcGhwNl75cuXV6dOnZSSkqLU1NRiP7M3ODhYISEhxXoUTEhIiBwcHCz6ef36dW3btq3QRypFRERoz549CgoKyve+ly1bVqGhoXJ2drb4vuOP/ZVUYJ/Dw8M1bNgwbdq0SXXq1NG8efOK02UA91ibNm107do1Xb9+XTExMQXW8fb2trg+XrhwQYcPHy60zaKuDXlcXV0trjnOzs6qX7++atWqpeTk5AIT0zdf07/77juL+9TGjRtlZ2en6tWrFxhzTk6Ofvjhh0Ljud1+PPvss5o/f75mzJihkJCQfDO6C+Ll5aWqVavK19c3X0K8IIXdu6pVq1bgdwzh4eHKycnRqVOn8l3T8yZuhYWFFXpNlwq/j3l7eysuLk6ffPKJpkyZohkzZtwyfvy9MVMcAFCogQMHKi4uTg0bNlTjxo01ZcoUZWdnF/uDLv6crKwsi5mAhw8fVnp6ujw9PVW5cmUrRlZy9O3bV/PmzdO///1vubq66sSJE5Ikd3f3O/oVKm7fsGHD1LZtW1WuXFkXL17UvHnztGbNGn399dfWDq1EcHV1VZ06dSzKypYtq/Lly+crx19j8ODB6tChgwIDA3Xs2DElJibK3t5e3bp1s3ZoJcbLL7+spk2baty4cerSpYu2bt2qGTNm8IXJPZabm6uUlBTFxcWpVCm+ygBQtN9++02dO3fWM888o7CwMLm6umr79u2aOHGiOnbseMftvvjii2revLkmT56sDh066D//+Y+WLVtWZBJg9OjR6t+/v9zd3dWmTRtdvXpV27dv19mzZzVw4MACj2nSpImGDBmiQYMG6ZdfftFjjz0mf39/ZWRk6IMPPlCzZs00YMAAJSQkqEuXLgoPD1erVq30xRdfaNGiRVq5cqWkGzPnHnjgAU2YMEHBwcE6deqUhg8fftv9DgoKMn8eDQgIkKurqxwdHSXdSKC0b99eOTk5hT4j/c8oW7as+vTpo4SEBPNn4YkTJ+rSpUvq1atXgcf07dtXM2fOVLdu3TRkyBB5enoqIyNDaWlp+vDDD+Xk5KShQ4dqyJAhcnBwUFRUlE6fPq09e/aoV69e8vHxkbOzs5YvX66AgAA5OTnpzJkzmjFjhh599FH5+/vrwIEDOnjwoHr06HHX+wzgz7O3tzc/YqGwH3M/9NBDSk1NVYcOHeTh4aGRI0cW+cPvgq4N7u7ut4zFZDIpJSVFrVq10oMPPqjXXntNNWrUUFZWlr744gt98803Wrt2rbp3767ExETFxcVp1KhROn36tF588UU9/fTT5ueJP/TQQxo4cKC++uorhYSEaPLkyeakenEV1Y+YmBi5ublpzJgxSkpKuq12i2vQoEFq1KiRXn/9dcXGxmrz5s2aNm1aoT8Eq1atmrp3764ePXooOTlZ4eHhOn36tFatWqWwsDC1a9dOw4YNU926dfXCCy/o+eefl4ODg1avXq3OnTvLy8tLQUFB2rJli44cOSIXFxd5enpq1KhRatCggWrXrq2rV6/qyy+/VM2aNf+SPuM+YgAAUIR33nnHqFy5suHg4GA0btzY+Pbbb60dUomxevVqQ1K+LS4uztqhlRgFvf+SjJSUFGuHVmI888wzRmBgoOHg4GB4e3sbLVu2NL755htrh1WiRUdHGwMGDLB2GCVGbGys4efnZzg4OBgVK1Y0YmNjjYyMDGuHVeJ88cUXRp06dQxHR0ejRo0axowZM6wdUonz9ddfG5KMAwcOWDsUAH8DV65cMV555RUjIiLCcHd3N8qUKWNUr17dGD58uHHp0iVzPUnG4sWLDcMwjMOHDxuSjF27dpn3nz171pBkrF692lw2Y8YMo2LFioazs7PRqVMnY8yYMYavr695f2JiolGvXj2LeObOnWvUr1/fcHBwMMqVK2c0b97cWLRo0S37MX/+fKN58+aGq6urUbZsWSMsLMxISkoyzp49a67z3nvvGVWqVDFKly5tVKtWzZgzZ45FG3v37jUiIyMNZ2dno379+sY333xj0ae8z503t7lr1y5DknH48GHz+/nEE08YHh4e+T4P5ebmGoGBgcYjjzxyy/4UdK7i7L98+bLx4osvGl5eXoajo6MRFRVlbN261by/oLH78ccfjccee8zw8PAwnJ2djRo1ahgvvfSSkZubaxiGYeTk5BhjxowxAgMDjdKlSxuVK1c2xo0bZz5+5syZRqVKlQw7OzsjOjraOHHihNGpUyfz32WBgYHGyJEjjZycnFv2G8C9ERcXZ3Ts2LHQ/R07drT4Tu38+fNGbGys4ebmZlSqVMlITU016tWrZyQmJprr3HyfMIz814binDfPgQMHjB49ehj+/v7m60i3bt2MnTt3muvs3r3b+Mc//mE4OTkZnp6eRu/evY2LFy+a91+7ds3o06eP4enpafj4+Bjjx4/P16/AwEDjrbfesjj3H/tVUD/yjBgxwrC3tzeOHTt2yz4VdK7i7F+wYIFRq1Yt8/X3zTfftNj/x+8drl27ZowcOdIICgoySpcubfj5+RmPPfaYsXv3bnOdNWvWGE2bNjUcHR0NDw8PIyYmxnw/OXDggPHAAw8Yzs7O5vvb66+/btSsWdNwdnY2PD09jY4dOxo//fTTLfuMvzeTYfzhAQQAAAAAAAAAgFvq3bu39u/fr/Xr11s7FKvIyspSxYoVlZKSoscff9wqMRw4cEA1atTQwYMHVbVqVavEAAC2olevXjp9+rQ+//xzq8UQGRmpli1basyYMVaLAbaJNccAAAAAAAAAoBgmTZqk1q1bq2zZslq2bJlmz55d6JKvtiw3N1e//vqrkpOT5eHhoUcffdQqcZw5c0YLFiyQm5ubKlWqZJUYAMAWnD9/Xt9//73mzZtntYT41atX9f3332vPnj3q37+/VWKAbSMpDgAAAAAAAADFsHXrVk2cOFEXL15UlSpV9Pbbb+vZZ5+1dlj3XGZmpoKDgxUQEKDU1FSVKmWdr5l79eqlHTt26P333zc/5xwAcPs6duyorVu36vnnn1fr1q2tEsOyZcvUo0cPPfroo3ryySetEgNsG8unAwAAAAAAAAAAAABslp21AwAAAAAAAAAAAAAA4K9CUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAUCKYTCYtWbLE2mGUGKtWrVLNmjWVk5NzW8cFBQVpypQp5tc3j9uRI0dkMpmUnp4uSVqzZo1MJpPOnTt3d4L+k+Lj4wss79q1q5KTk+9tMAAAAAAAADAjKQ4AAIB7ymQyFbmNGjWq0GP/mBS9m+Lj49WpU6e73u6d+iv7eqf+mLAuypAhQzR8+HDZ29tLklJTUy3G2cXFRQ0aNNCiRYssjtu2bZuee+65Yp2jadOmOn78uNzd3W+rH/fa8OHDNXbsWJ0/f97aoQAAAAAAAJRIJMUBAABwTx0/fty8TZkyRW5ubhZlgwcPtnaI+JM2bNigQ4cO6YknnrAov3msd+3apZiYGHXp0kUHDhww1/H29laZMmWKdR4HBwf5+vrKZDLd1fhvx+XLl9W/f39VqVJF8+bNU1BQkDp06KATJ06Y69SpU0chISH65JNPrBYnAAAAAABASUZSHAAAAPeUr6+veXN3d5fJZDK/9vHx0eTJkxUQECBHR0fVr19fy5cvNx8bHBwsSQoPD5fJZFKLFi0k3Zhd3Lp1a3l5ecnd3V3R0dHauXPnn4qzRYsW6t+/v4YMGSJPT0/5+vpazGL/5z//qdjYWItjrl+/Li8vL82ZM0eSlJubq/Hjxys4OFjOzs6qV6+eFixYYK5/9uxZde/eXd7e3nJ2dlZoaKhSUlKK7GvejPZx48apQoUK8vDwUFJSkn7//XclJCTI09NTAQEB5nby/Pzzz+rSpYs8PDzk6empjh076siRI+b9ee1OmjRJfn5+Kl++vPr27avr16+b34+jR4/q5ZdfNs/2LkxaWppat24tJycni/Kbxzo0NFRjxoyRnZ2ddu/eba5zO7PRC1o+feHChapdu7YcHR0VFBSUb9nyoKAgjRs3Ts8884xcXV1VuXJlzZgxw7z/2rVr6tevn/z8/OTk5KTAwECNHz++0BjGjRun+fPn65133lH79u31ySefqHHjxrp27ZpFvQ4dOigtLa1Y/QIAAAAAAMDdRVIcAAAA942pU6cqOTlZkyZN0u7duxUTE6NHH31UBw8elCRt3bpVkrRy5UodP37cvPT2xYsXFRcXpw0bNujbb79VaGioHnnkEV28ePFPxTN79myVLVtWW7Zs0cSJE5WUlKQVK1ZIkrp3764vvvhCWVlZ5vpff/21Ll26pMcee0ySNH78eM2ZM0cffPCB9uzZo5dffllPPfWU1q5dK0kaMWKE9u7dq2XLlmnfvn16//335eXlVWRfJek///mPjh07pnXr1mny5MlKTExU+/btVa5cOW3ZskXPP/+8/u///k///e9/Jd1I1sfExMjV1VXr16/Xxo0b5eLiojZt2lgkb1evXq1Dhw5p9erVmj17tlJTU5WamipJWrRokQICApSUlGSe7V2Y9evXq2HDhkW+tzk5OZo9e7YkKSIi4taDUQw7duxQly5d1LVrV33//fcaNWqURowYYe5DnuTkZDVs2FC7du3SCy+8oD59+phnq7/99tv6/PPP9emnn+rAgQOaO3eugoKCCj3nrl279Oijj6pdu3Zyc3NTs2bNNGLECFWuXNmiXuPGjbV161ZdvXr1rvQVAAAAAAAAxVfK2gEAAAAAeSZNmqShQ4eqa9eukqQ33nhDq1ev1pQpU/Tuu+/K29tbklS+fHn5+vqaj3vooYcs2pkxY4Y8PDy0du1atW/f/o7jCQsLU2JioiQpNDRU06ZN06pVq9S6dWvFxMSobNmyWrx4sZ5++mlJ0rx58/Too4/K1dVVV69e1bhx47Ry5UpFRkZKkqpUqaINGzZo+vTpio6OVmZmpsLDw80J5JuTr4X1VZI8PT319ttvy87OTtWrV9fEiRN16dIlvfrqq5KkYcOGacKECdqwYYO6du2q+fPnKzc3Vx9++KF5hndKSoo8PDy0Zs0aPfzww5KkcuXKadq0abK3t1eNGjXUrl07rVq1Sr1795anp6fs7e3l6uqaL54/Onr0qPz9/fOVnz9/Xi4uLpJuLDteunRpzZgxQyEhIcUflCJMnjxZLVu21IgRIyRJ1apV0969e/Xmm28qPj7eXO+RRx7RCy+8IEkaOnSo3nrrLa1evVrVq1dXZmamQkND1axZM5lMJgUGBhZ5zqioKPN5/zg7/Gb+/v66du2aTpw4ccs2AQAAAAAAcHcxUxwAAAD3hQsXLujYsWOKioqyKI+KitK+ffuKPPbkyZPq3bu3QkND5e7uLjc3N2VlZSkzM/NPxRQWFmbx2s/PT6dOnZIklSpVSl26dNHcuXMlSdnZ2fr3v/+t7t27S5IyMjJ06dIltW7dWi4uLuZtzpw5OnTokCSpT58+SktLU/369TVkyBBt2rSpWHHVrl1bdnb/+1O+QoUKqlu3rvm1vb29ypcvb471u+++U0ZGhlxdXc1xeHp66sqVK+ZY8tq1t7cvsL+34/Lly/mWTpckV1dXpaenKz09Xbt27dK4ceP0/PPP64svvrjtcxRk3759Bf77OXjwoHJycsxlN49r3pLuef2Mj49Xenq6qlevrv79++ubb74p8pwJCQkaMmSIxo4dq7S0NNWoUUPjxo0zLzufx9nZWZJ06dKlP9VHAAAAAAAA3D5migMAAOBvLy4uTr/99pumTp2qwMBAOTo6KjIyssiZu8VRunRpi9cmk0m5ubnm1927d1d0dLROnTqlFStWyNnZWW3atJEk87LqX331lSpWrGjRjqOjoySpbdu2Onr0qJYuXaoVK1aoZcuW6tu3ryZNmnTbcRUVa1ZWlho0aGBO4N8sb0Z6cfpbXF5eXjp79my+cjs7O1WtWtX8OiwsTN98843eeOMNdejQ4bbPc6eK6mdERIQOHz6sZcuWaeXKlerSpYtatWpl8Sz4m5UqVUoJCQlKSEhQly5d9Nhjj2nAgAHKysrSuHHjzPXOnDkjyfL9BgAAAAAAwL1BUhwAAAD3BTc3N/n7+2vjxo2Kjo42l2/cuFGNGzeWJDk4OEiSxazfvDrvvfeeHnnkEUnSzz//rF9//fUvj7lp06aqVKmS5s+fr2XLlqlz587mhGutWrXk6OiozMxMi/78kbe3t+Li4hQXF6cHH3xQCQkJmjRpUqF9vRMRERGaP3++fHx85ObmdsftODg4FCue8PBw7d27t1ht2tvb6/Lly3cc081q1qypjRs3WpRt3LhR1apVs5gBfytubm6KjY1VbGysnnzySbVp00ZnzpyRp6dnkceVKVNG3bp10/bt27V+/XqLfT/88IMCAgLMz4wHAAAAAADAvUNSHAAAAPeNhIQEJSYmKiQkRPXr11dKSorS09PNM5x9fHzk7Oys5cuXKyAgQE5OTnJ3d1doaKg+/vhjNWzYUBcuXFBCQoJ5ueq/2j//+U998MEH+vHHH7V69WpzuaurqwYPHqyXX35Zubm5atasmc6fP6+NGzfKzc1NcXFxGjlypBo0aKDatWvr6tWr+vLLL1WzZs0i+3onunfvrjfffFMdO3ZUUlKSAgICdPToUS1atEhDhgxRQEBAsdoJCgrSunXr1LVrVzk6Ohaa4I2JidHs2bPzlRuGoRMnTki6scT6ihUr9PXXX2vkyJF31K8/GjRokBo1aqTXX39dsbGx2rx5s6ZNm6b33nuv2G1MnjxZfn5+Cg8Pl52dnT777DP5+vrKw8OjwPqJiYlq0qSJmjRpIsMwtH37dv373//O9yz79evXm5/dDgAAAAAAgHuLZ4oDAADgvtG/f38NHDhQgwYNUt26dbV8+XJ9/vnnCg0NlXRjqeq3335b06dPl7+/vzp27ChJ+uijj3T27FlFRETo6aefVv/+/eXj43NPYu7evbv27t2rihUr5nue9euvv64RI0Zo/Pjxqlmzptq0aaOvvvpKwcHBkm7MvB42bJjCwsLUvHlz2dvbKy0trci+3okyZcpo3bp1qly5sh5//HHVrFlTvXr10pUrV25r5nhSUpKOHDmikJCQIpcB7969u/bs2aMDBw5YlF+4cEF+fn7y8/NTzZo1lZycrKSkJL322mt33LebRURE6NNPP1VaWprq1KmjkSNHKikpSfHx8cVuw9XVVRMnTlTDhg3VqFEjHTlyREuXLrV4hvvNqlatqrFjx6pq1ar6+OOP1b59e7Vo0UJjxowx17ly5YqWLFmi3r17/9kuAgAAAAAA4A6YDMMwrB0EAAAAANuSkJCgCxcuaPr06dYO5Z6Jj49XampqvvL3339fixcv1jfffHPvgwIAAAAAAAAzxQEAAADcfa+99poCAwOVm5tr7VCsrnTp0nrnnXesHQYAAAAAAECJxUxxAAAAAAAAAAAAAIDNYqY4AAAAAAAAAAAAAMBmkRQHAAAAAAAAAAAAANgskuIAAAAAAAAAAAAAAJtFUhwAAAAAAAAAAAAAYLNIigMAAAAAAAAAAAAAbBZJcQAAAAAAAAAAAACAzSIpDgAAAAAAAAAAAACwWSTFAQAAAAAAAAAAAAA2i6Q4AAAAAAAAAAAAAMBm/T9R75XEgP0N7wAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 2000x1200 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Most Common Types of Multi-County Projects:\n",
      "Program Name\n",
      "Urban and Community Forestry Program          333\n",
      "Low Carbon Transit Operations Program         189\n",
      "Transit and Intercity Rail Capital Program     87\n",
      "Safe and Affordable Drinking Water Fund        47\n",
      "Climate Smart Agriculture                      43\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Success Metrics for Multi-County Projects:\n",
      "\n",
      "DAC Benefit Rate Distribution:\n",
      "count       874\n",
      "unique        2\n",
      "top       False\n",
      "freq        756\n",
      "Name: Is Benefit Disadvantaged Communities, dtype: object\n",
      "\n",
      "GHG Reduction Distribution (tons per $):\n",
      "count    578.000000\n",
      "mean       0.003167\n",
      "std        0.017891\n",
      "min       -0.002485\n",
      "25%        0.000000\n",
      "50%        0.000220\n",
      "75%        0.002056\n",
      "max        0.400316\n",
      "Name: ghg_efficiency, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# First, let's identify multi-county projects\n",
    "def is_multi_county(county):\n",
    "    return ',' in str(county)\n",
    "\n",
    "# Create multi-county analysis dataframe\n",
    "multi_county_data = data[data['County'].apply(is_multi_county)].copy()\n",
    "\n",
    "# Analyze these collaborations\n",
    "print(\"\\nMulti-County Collaboration Analysis:\")\n",
    "print(f\"\\nTotal number of multi-county projects: {len(multi_county_data)}\")\n",
    "print(f\"Total investment in multi-county projects: ${multi_county_data['Total Project Cost'].sum()/1e9:.2f}B\")\n",
    "\n",
    "# Look at the specific collaborations\n",
    "print(\"\\nMajor Multi-County Collaborations:\")\n",
    "collaboration_summary = multi_county_data.groupby('County').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean',\n",
    "    'Total GGRFDisadvantaged Community Funding': 'sum'\n",
    "}).round(2)\n",
    "\n",
    "# Flatten column names\n",
    "collaboration_summary.columns = [\n",
    "    'project_count', 'total_investment', 'avg_project_size',\n",
    "    'total_ghg_reduction', 'dac_benefit_rate', 'dac_funding'\n",
    "]\n",
    "\n",
    "# Calculate efficiency metrics\n",
    "collaboration_summary['ghg_per_dollar'] = collaboration_summary['total_ghg_reduction'] / collaboration_summary['total_investment']\n",
    "collaboration_summary['dac_funding_ratio'] = collaboration_summary['dac_funding'] / collaboration_summary['total_investment']\n",
    "\n",
    "# Sort by total investment\n",
    "print(collaboration_summary.sort_values('total_investment', ascending=False).head(10))\n",
    "\n",
    "# Create visualizations\n",
    "plt.figure(figsize=(20, 12))\n",
    "\n",
    "# 1. Project Size Comparison\n",
    "plt.subplot(2, 2, 1)\n",
    "avg_size = data['Total Project Cost'].mean()\n",
    "multi_avg_size = multi_county_data['Total Project Cost'].mean()\n",
    "\n",
    "plt.bar(['Single-County Projects', 'Multi-County Projects'], \n",
    "       [avg_size/1e6, multi_avg_size/1e6],\n",
    "       color=['lightblue', 'darkblue'])\n",
    "plt.ylabel('Average Project Size (Millions $)')\n",
    "plt.title('Project Size Comparison')\n",
    "\n",
    "# 2. GHG Efficiency Comparison\n",
    "plt.subplot(2, 2, 2)\n",
    "single_ghg_efficiency = (data[~data['County'].apply(is_multi_county)]['Total Project GHGReductions'].sum() / \n",
    "                        data[~data['County'].apply(is_multi_county)]['Total Project Cost'].sum())\n",
    "multi_ghg_efficiency = (multi_county_data['Total Project GHGReductions'].sum() / \n",
    "                       multi_county_data['Total Project Cost'].sum())\n",
    "\n",
    "plt.bar(['Single-County Projects', 'Multi-County Projects'],\n",
    "       [single_ghg_efficiency, multi_ghg_efficiency],\n",
    "       color=['lightblue', 'darkblue'])\n",
    "plt.ylabel('GHG Reduction per Dollar')\n",
    "plt.title('GHG Efficiency Comparison')\n",
    "\n",
    "# 3. Top Multi-County Collaborations\n",
    "plt.subplot(2, 2, 3)\n",
    "top_collaborations = collaboration_summary.sort_values('total_investment', ascending=True).tail(5)\n",
    "plt.barh(range(len(top_collaborations)), top_collaborations['total_investment']/1e9)\n",
    "plt.yticks(range(len(top_collaborations)), \n",
    "          [name[:50] + '...' if len(name) > 50 else name for name in top_collaborations.index])\n",
    "plt.xlabel('Total Investment (Billions $)')\n",
    "plt.title('Top 5 Multi-County Collaborations by Investment')\n",
    "\n",
    "# 4. DAC Benefit Rate Comparison\n",
    "plt.subplot(2, 2, 4)\n",
    "plt.bar(['Single-County Projects', 'Multi-County Projects'],\n",
    "       [data[~data['County'].apply(is_multi_county)]['Is Benefit Disadvantaged Communities'].mean(),\n",
    "        multi_county_data['Is Benefit Disadvantaged Communities'].mean()],\n",
    "       color=['lightblue', 'darkblue'])\n",
    "plt.ylabel('Average DAC Benefit Rate')\n",
    "plt.title('DAC Benefit Rate Comparison')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Analyze types of projects that work well in collaboration\n",
    "print(\"\\nMost Common Types of Multi-County Projects:\")\n",
    "print(multi_county_data['Program Name'].value_counts().head())\n",
    "\n",
    "# Look at success factors\n",
    "print(\"\\nSuccess Metrics for Multi-County Projects:\")\n",
    "print(\"\\nDAC Benefit Rate Distribution:\")\n",
    "print(multi_county_data['Is Benefit Disadvantaged Communities'].describe())\n",
    "\n",
    "print(\"\\nGHG Reduction Distribution (tons per $):\")\n",
    "multi_county_data['ghg_efficiency'] = multi_county_data['Total Project GHGReductions'] / multi_county_data['Total Project Cost']\n",
    "print(multi_county_data['ghg_efficiency'].describe())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "1. Most Successful Collaborations:\n",
      "                                                   total_investment  \\\n",
      "County                                                                \n",
      "Marin, San Francisco                                        2466450   \n",
      "Los Angeles, Orange, Riverside, San Diego                    766345   \n",
      "El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba            991000   \n",
      "Napa, San Joaquin                                           1557570   \n",
      "Lake, Sacramento                                            2697479   \n",
      "\n",
      "                                                   ghg_per_dollar  \\\n",
      "County                                                              \n",
      "Marin, San Francisco                                     0.010916   \n",
      "Los Angeles, Orange, Riverside, San Diego                0.008612   \n",
      "El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba        0.008322   \n",
      "Napa, San Joaquin                                        0.005557   \n",
      "Lake, Sacramento                                         0.004171   \n",
      "\n",
      "                                                   dac_benefit_rate  \\\n",
      "County                                                                \n",
      "Marin, San Francisco                                            1.0   \n",
      "Los Angeles, Orange, Riverside, San Diego                       1.0   \n",
      "El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba               1.0   \n",
      "Napa, San Joaquin                                               1.0   \n",
      "Lake, Sacramento                                                1.0   \n",
      "\n",
      "                                                   success_score  \n",
      "County                                                            \n",
      "Marin, San Francisco                                    0.515503  \n",
      "Los Angeles, Orange, Riverside, San Diego               0.512379  \n",
      "El Dorado, Placer, Sacramento, Sutter, Yolo, Yuba       0.511986  \n",
      "Napa, San Joaquin                                       0.508237  \n",
      "Lake, Sacramento                                        0.506358  \n",
      "\n",
      "2. Program Type Success Factors:\n",
      "                                                    project_count  \\\n",
      "Program Name                                                        \n",
      "Forest Health Program                                           6   \n",
      "Food Production Investment Program                              9   \n",
      "Wetlands and Watershed Restoration                              1   \n",
      "Sustainable Agricultural Lands Conservation Pro...              1   \n",
      "Urban and Community Forestry Program                          333   \n",
      "\n",
      "                                                    total_investment  \\\n",
      "Program Name                                                           \n",
      "Forest Health Program                                       20238006   \n",
      "Food Production Investment Program                          20586793   \n",
      "Wetlands and Watershed Restoration                            920666   \n",
      "Sustainable Agricultural Lands Conservation Pro...          17690045   \n",
      "Urban and Community Forestry Program                        37197703   \n",
      "\n",
      "                                                    avg_project_size  \\\n",
      "Program Name                                                           \n",
      "Forest Health Program                                     3373001.00   \n",
      "Food Production Investment Program                        2287421.44   \n",
      "Wetlands and Watershed Restoration                         920666.00   \n",
      "Sustainable Agricultural Lands Conservation Pro...       17690045.00   \n",
      "Urban and Community Forestry Program                       111704.81   \n",
      "\n",
      "                                                    total_ghg  dac_rate  \\\n",
      "Program Name                                                              \n",
      "Forest Health Program                                  830634       0.0   \n",
      "Food Production Investment Program                     501007       0.0   \n",
      "Wetlands and Watershed Restoration                      15166       0.0   \n",
      "Sustainable Agricultural Lands Conservation Pro...     251149       0.0   \n",
      "Urban and Community Forestry Program                   195214       0.2   \n",
      "\n",
      "                                                    ghg_efficiency  \n",
      "Program Name                                                        \n",
      "Forest Health Program                                     0.041043  \n",
      "Food Production Investment Program                        0.024336  \n",
      "Wetlands and Watershed Restoration                        0.016473  \n",
      "Sustainable Agricultural Lands Conservation Pro...        0.014197  \n",
      "Urban and Community Forestry Program                      0.005248  \n",
      "\n",
      "3. Optimal Partnership Size:\n",
      "               ghg_efficiency  dac_rate\n",
      "partner_count                          \n",
      "2                    0.004588  0.149798\n",
      "3                    0.002167  0.064000\n",
      "4                    0.003443  0.052632\n",
      "5                    0.000880  0.130435\n",
      "6                    0.002270  0.236842\n",
      "7                    0.002930  0.281250\n",
      "8                    0.001286  0.307692\n",
      "9                    0.000373  0.000000\n",
      "10                   0.000014  0.250000\n",
      "11                   0.000000  0.000000\n",
      "12                   0.000160  0.000000\n",
      "13                   0.000011  0.000000\n",
      "14                   0.003643  0.111111\n",
      "16                   0.004098  0.111111\n",
      "19                   0.000000  0.000000\n",
      "22                   0.000000  0.000000\n",
      "24                   0.000000  0.000000\n",
      "25                   0.000000  0.000000\n",
      "29                   0.000000  0.000000\n",
      "34                   0.000000  0.000000\n",
      "47                   0.000000  0.000000\n",
      "\n",
      "4. Regional Performance Patterns:\n",
      "                     ghg_per_dollar  dac_benefit_rate  total_investment\n",
      "region                                                                 \n",
      "Bay Area                     0.0015            0.1488       13255750738\n",
      "Central Valley               0.0022            0.1816         294777141\n",
      "Other                        0.0073            0.1191        3029393261\n",
      "Southern California          0.0039            0.1862        1731340906\n",
      "\n",
      "Equity-Efficiency Trade-off Analysis:\n",
      "\n",
      "Correlation between GHG efficiency and DAC benefit rate: -0.0398\n"
     ]
    }
   ],
   "source": [
    "# 1. Deep Dive into Successful Collaborations\n",
    "# Let's create a success metric combining equity and efficiency\n",
    "def calculate_success_score(row):\n",
    "    # Normalize GHG efficiency and DAC rates to 0-1 scale\n",
    "    ghg_norm = (row['ghg_per_dollar'] - min_ghg) / (max_ghg - min_ghg)\n",
    "    dac_norm = row['dac_benefit_rate']\n",
    "    return (ghg_norm + dac_norm) / 2\n",
    "\n",
    "# Add success scores\n",
    "collaboration_success = collaboration_summary.copy()\n",
    "min_ghg = collaboration_summary['ghg_per_dollar'].min()\n",
    "max_ghg = collaboration_summary['ghg_per_dollar'].max()\n",
    "collaboration_success['success_score'] = collaboration_summary.apply(calculate_success_score, axis=1)\n",
    "\n",
    "# Create visualization of success patterns\n",
    "plt.figure(figsize=(20, 15))\n",
    "\n",
    "# 1. Success Stories Matrix\n",
    "plt.subplot(2, 2, 1)\n",
    "plt.scatter(collaboration_success['ghg_per_dollar'], \n",
    "           collaboration_success['dac_benefit_rate'],\n",
    "           s=collaboration_success['total_investment']/1e7,\n",
    "           alpha=0.6)\n",
    "plt.xlabel('GHG Efficiency (Reduction per Dollar)')\n",
    "plt.ylabel('DAC Benefit Rate')\n",
    "plt.title('Multi-County Collaboration Performance Matrix\\nSize = Total Investment')\n",
    "\n",
    "# 2. Program Type Analysis\n",
    "program_type_analysis = multi_county_data.groupby('Program Name').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean'\n",
    "}).round(2)\n",
    "\n",
    "program_type_analysis.columns = ['project_count', 'total_investment', \n",
    "                               'avg_project_size', 'total_ghg', 'dac_rate']\n",
    "program_type_analysis['ghg_efficiency'] = program_type_analysis['total_ghg'] / program_type_analysis['total_investment']\n",
    "\n",
    "# Plot program type performance\n",
    "plt.subplot(2, 2, 2)\n",
    "top_programs = program_type_analysis.nlargest(5, 'total_investment')\n",
    "plt.bar(range(len(top_programs)), top_programs['ghg_efficiency'])\n",
    "plt.xticks(range(len(top_programs)), \n",
    "          [name[:20] + '...' if len(name) > 20 else name for name in top_programs.index],\n",
    "          rotation=45)\n",
    "plt.title('GHG Efficiency by Program Type')\n",
    "\n",
    "# 3. Partnership Size Analysis\n",
    "plt.subplot(2, 2, 3)\n",
    "partnership_sizes = multi_county_data['County'].str.count(',') + 1\n",
    "size_performance = pd.DataFrame({\n",
    "    'partner_count': partnership_sizes,\n",
    "    'ghg_efficiency': multi_county_data['Total Project GHGReductions'] / multi_county_data['Total Project Cost'],\n",
    "    'dac_rate': multi_county_data['Is Benefit Disadvantaged Communities']\n",
    "})\n",
    "\n",
    "avg_by_size = size_performance.groupby('partner_count').mean()\n",
    "plt.plot(avg_by_size.index, avg_by_size['ghg_efficiency'], marker='o')\n",
    "plt.xlabel('Number of Partner Counties')\n",
    "plt.ylabel('Average GHG Efficiency')\n",
    "plt.title('Performance by Partnership Size')\n",
    "\n",
    "# 4. Regional Patterns\n",
    "plt.subplot(2, 2, 4)\n",
    "# Create regional categories based on county groupings\n",
    "def categorize_region(counties):\n",
    "    if 'Los Angeles' in counties:\n",
    "        return 'Southern California'\n",
    "    elif any(county in counties for county in ['San Francisco', 'Alameda', 'Santa Clara']):\n",
    "        return 'Bay Area'\n",
    "    elif any(county in counties for county in ['Fresno', 'Kern', 'Kings']):\n",
    "        return 'Central Valley'\n",
    "    else:\n",
    "        return 'Other'\n",
    "\n",
    "collaboration_success['region'] = collaboration_success.index.map(categorize_region)\n",
    "regional_performance = collaboration_success.groupby('region').agg({\n",
    "    'ghg_per_dollar': 'mean',\n",
    "    'dac_benefit_rate': 'mean',\n",
    "    'total_investment': 'sum'\n",
    "})\n",
    "\n",
    "plt.bar(regional_performance.index, regional_performance['ghg_per_dollar'])\n",
    "plt.xticks(rotation=45)\n",
    "plt.title('GHG Efficiency by Region')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Print detailed analysis\n",
    "print(\"\\n1. Most Successful Collaborations:\")\n",
    "print(collaboration_success.nlargest(5, 'success_score')[\n",
    "    ['total_investment', 'ghg_per_dollar', 'dac_benefit_rate', 'success_score']\n",
    "])\n",
    "\n",
    "print(\"\\n2. Program Type Success Factors:\")\n",
    "print(program_type_analysis.nlargest(5, 'ghg_efficiency'))\n",
    "\n",
    "print(\"\\n3. Optimal Partnership Size:\")\n",
    "print(avg_by_size)\n",
    "\n",
    "print(\"\\n4. Regional Performance Patterns:\")\n",
    "print(regional_performance.round(4))\n",
    "\n",
    "# Additional insights on equity-efficiency trade-offs\n",
    "print(\"\\nEquity-Efficiency Trade-off Analysis:\")\n",
    "correlation = collaboration_success['ghg_per_dollar'].corr(collaboration_success['dac_benefit_rate'])\n",
    "print(f\"\\nCorrelation between GHG efficiency and DAC benefit rate: {correlation:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_846869/2239187850.py:43: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  recent_data['partnership_size'] = recent_data['County'].str.count(',') + 1\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Period Comparison:\n",
      "                           Pre-COVID (2010-2019)  COVID Period (2020-2021)  \\\n",
      "Number of Projects                        211.00                    304.00   \n",
      "Average Project Size ($M)                   8.24                     31.78   \n",
      "DAC Benefit Rate                            0.37                      0.02   \n",
      "Average Partners                            3.70                      5.53   \n",
      "\n",
      "                           Post-COVID (2022+)  \n",
      "Number of Projects                     286.00  \n",
      "Average Project Size ($M)               23.08  \n",
      "DAC Benefit Rate                         0.01  \n",
      "Average Partners                         3.92  \n",
      "\n",
      "Most Common Project Types During COVID Period:\n",
      "Program Name\n",
      "Urban and Community Forestry Program          144\n",
      "Low Carbon Transit Operations Program          46\n",
      "Safe and Affordable Drinking Water Fund        34\n",
      "Climate Smart Agriculture                      26\n",
      "Transit and Intercity Rail Capital Program     15\n",
      "Name: count, dtype: int64\n",
      "\n",
      "Largest COVID-Period Collaborations:\n",
      "                                                   County  \\\n",
      "42458                          San Francisco, Santa Clara   \n",
      "62279   Alameda, Contra Costa, Fresno, Kern, Kings, Ma...   \n",
      "62280   Alameda, Contra Costa, Fresno, Kern, Kings, Ma...   \n",
      "100710  Alameda, Contra Costa, Fresno, Kern, Kings, Ma...   \n",
      "100711  Alameda, Contra Costa, Fresno, Kern, Kings, Ma...   \n",
      "\n",
      "                                      Program Name  Total Project Cost  \\\n",
      "42458   Transit and Intercity Rail Capital Program          1980252533   \n",
      "62279   Transit and Intercity Rail Capital Program           904600000   \n",
      "62280   Transit and Intercity Rail Capital Program           904600000   \n",
      "100710  Transit and Intercity Rail Capital Program           904600000   \n",
      "100711  Transit and Intercity Rail Capital Program           904600000   \n",
      "\n",
      "        Total Project GHGReductions  \n",
      "42458                        734000  \n",
      "62279                         52428  \n",
      "62280                          6554  \n",
      "100710                        21845  \n",
      "100711                        43690  \n"
     ]
    }
   ],
   "source": [
    "# Filter for more recent period\n",
    "multi_county_data['Year'] = pd.to_datetime(multi_county_data['Date Operational']).dt.year\n",
    "recent_data = multi_county_data[multi_county_data['Year'] >= 2010]\n",
    "\n",
    "# Create temporal analysis\n",
    "temporal_analysis = recent_data.groupby('Year').agg({\n",
    "    'Total Project Cost': ['count', 'sum', 'mean'],\n",
    "    'Total Project GHGReductions': 'sum',\n",
    "    'Is Benefit Disadvantaged Communities': 'mean'\n",
    "})\n",
    "\n",
    "# Visualize evolution\n",
    "fig, axes = plt.subplots(2, 2, figsize=(20, 15))\n",
    "\n",
    "# 1. Project Volume\n",
    "axes[0,0].plot(temporal_analysis.index, \n",
    "               temporal_analysis[('Total Project Cost', 'count')], \n",
    "               marker='o', color='darkblue', linewidth=2)\n",
    "axes[0,0].set_title('Number of Multi-County Projects by Year (2010-2024)', \n",
    "                    fontsize=12, pad=15)\n",
    "axes[0,0].set_ylabel('Number of Projects')\n",
    "axes[0,0].grid(True, alpha=0.3)\n",
    "\n",
    "# 2. Investment Size\n",
    "axes[0,1].plot(temporal_analysis.index, \n",
    "               temporal_analysis[('Total Project Cost', 'mean')]/1e6, \n",
    "               marker='o', color='darkblue', linewidth=2)\n",
    "axes[0,1].set_title('Average Project Size by Year', \n",
    "                    fontsize=12, pad=15)\n",
    "axes[0,1].set_ylabel('Average Size (Millions $)')\n",
    "axes[0,1].grid(True, alpha=0.3)\n",
    "\n",
    "# 3. Equity Performance\n",
    "axes[1,0].plot(temporal_analysis.index, \n",
    "               temporal_analysis[('Is Benefit Disadvantaged Communities', 'mean')], \n",
    "               marker='o', color='darkblue', linewidth=2)\n",
    "axes[1,0].set_title('DAC Benefit Rate by Year', \n",
    "                    fontsize=12, pad=15)\n",
    "axes[1,0].set_ylabel('Proportion Benefiting DACs')\n",
    "axes[1,0].grid(True, alpha=0.3)\n",
    "\n",
    "# 4. Partnership Size Evolution\n",
    "recent_data['partnership_size'] = recent_data['County'].str.count(',') + 1\n",
    "partnership_evolution = recent_data.groupby('Year')['partnership_size'].mean()\n",
    "\n",
    "axes[1,1].plot(partnership_evolution.index, \n",
    "               partnership_evolution.values, \n",
    "               marker='o', color='darkblue', linewidth=2)\n",
    "axes[1,1].set_title('Average Number of Partner Counties by Year', \n",
    "                    fontsize=12, pad=15)\n",
    "axes[1,1].set_ylabel('Average Partners per Project')\n",
    "axes[1,1].grid(True, alpha=0.3)\n",
    "\n",
    "# Adjust x-axis for all subplots\n",
    "for ax in axes.flat:\n",
    "    ax.set_xlim(2014, 2024)\n",
    "    ax.tick_params(axis='x', rotation=45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# Print summary statistics for three periods: pre-COVID, COVID, and post-COVID\n",
    "print(\"\\nPeriod Comparison:\")\n",
    "pre_covid = recent_data[recent_data['Year'] < 2020]\n",
    "covid = recent_data[recent_data['Year'].isin([2020, 2021])]\n",
    "post_covid = recent_data[recent_data['Year'] > 2021]\n",
    "\n",
    "metrics = {\n",
    "    'Number of Projects': lambda x: len(x),\n",
    "    'Average Project Size ($M)': lambda x: x['Total Project Cost'].mean()/1e6,\n",
    "    'DAC Benefit Rate': lambda x: x['Is Benefit Disadvantaged Communities'].mean(),\n",
    "    'Average Partners': lambda x: x['partnership_size'].mean()\n",
    "}\n",
    "\n",
    "comparison = pd.DataFrame({\n",
    "    'Pre-COVID (2010-2019)': {metric: func(pre_covid) for metric, func in metrics.items()},\n",
    "    'COVID Period (2020-2021)': {metric: func(covid) for metric, func in metrics.items()},\n",
    "    'Post-COVID (2022+)': {metric: func(post_covid) for metric, func in metrics.items()}\n",
    "})\n",
    "\n",
    "print(comparison.round(2))\n",
    "\n",
    "# Analyze types of projects during COVID period\n",
    "print(\"\\nMost Common Project Types During COVID Period:\")\n",
    "print(covid['Program Name'].value_counts().head())\n",
    "\n",
    "# Look at largest COVID-period collaborations\n",
    "print(\"\\nLargest COVID-Period Collaborations:\")\n",
    "print(covid.nlargest(5, 'Total Project Cost')[\n",
    "    ['County', 'Program Name', 'Total Project Cost', 'Total Project GHGReductions']\n",
    "].round(2))"
   ]
  }
 ],
 "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}