clean_run_CDTconference.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Implementing the Multi-channel Variational Autoencoder (MCVAE) for multi-modal disease survival prediction\n",
    "**Author**: Florence Townend \n",
    "\n",
    "Aim of work: investigate whether fusing clinical and neuroimaging using the MCVAE leads to improved performance over uni-modal models and concatenation.\n",
    "\n",
    "This work implements the Multi-channel variational autoencoder, created by Antelmi et al and found in this github repo: https://github.com/ggbioing/mcvae.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports \n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from src.mcvae_funcs import *\n",
    "from src.classification_funcs import run_all_data_inputs_loo\n",
    "from sklearn import metrics"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specify the paths for the clinical data (complete with classification label) and your imaging modality data (for example, extracted brain volumes).\n",
    "\n",
    "Clinical dataframe specifications:\n",
    "- index: study_id\n",
    "- features: can be a mix of categorical and continuous\n",
    "- label: some binary classification\n",
    "\n",
    "Imaging dataframe specifications:\n",
    "* index: study_id\n",
    "* features: continuous extracted features from some imaging modality, linked to one of the study_ids in the clinical data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "clinical_dataframe_path = \"clinical_dataframe.csv\"\n",
    "clinical_df = pd.read_csv(clinical_dataframe_path)\n",
    "clinical_df.set_index(\"study_id\", inplace=True)\n",
    "\n",
    "imaging_dataframe_path = \"brain_volume.csv\"\n",
    "brainvolume_df = pd.read_csv(imaging_dataframe_path)\n",
    "brainvolume_df.set_index(\"study_id\", inplace=True)\n",
    "\n",
    "# specified number of latent dimensions\n",
    "num_latent_dims = 5\n"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Training the MCVAE first time round with a lot of epochs, so that we can look at the loss logs and choose the best training time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "...preparing data for MCVAE...\n",
      "(26, 5)\n",
      "...fitting MCVAE with 10 latent dimensions and 2000 epochs...\n",
      "====> Epoch:    0/2000 (0%)\tLoss: 974.8675\tLL: -966.2373\tKL: 8.6302\tLL/KL: -111.9600\n",
      "====> Epoch:   10/2000 (0%)\tLoss: 571.2278\tLL: -562.0093\tKL: 9.2185\tLL/KL: -60.9654\n",
      "====> Epoch:   20/2000 (1%)\tLoss: 394.7713\tLL: -385.0995\tKL: 9.6719\tLL/KL: -39.8165\n",
      "====> Epoch:   30/2000 (2%)\tLoss: 319.6001\tLL: -309.4580\tKL: 10.1421\tLL/KL: -30.5122\n",
      "====> Epoch:   40/2000 (2%)\tLoss: 270.4915\tLL: -259.8044\tKL: 10.6870\tLL/KL: -24.3103\n",
      "====> Epoch:   50/2000 (2%)\tLoss: 239.6680\tLL: -228.4076\tKL: 11.2604\tLL/KL: -20.2842\n",
      "====> Epoch:   60/2000 (3%)\tLoss: 202.6783\tLL: -190.8179\tKL: 11.8604\tLL/KL: -16.0887\n",
      "====> Epoch:   70/2000 (4%)\tLoss: 187.8389\tLL: -175.3498\tKL: 12.4891\tLL/KL: -14.0403\n",
      "====> Epoch:   80/2000 (4%)\tLoss: 183.8306\tLL: -170.7219\tKL: 13.1087\tLL/KL: -13.0235\n",
      "====> Epoch:   90/2000 (4%)\tLoss: 149.8694\tLL: -136.1846\tKL: 13.6848\tLL/KL: -9.9515\n",
      "====> Epoch:  100/2000 (5%)\tLoss: 158.4291\tLL: -144.2113\tKL: 14.2178\tLL/KL: -10.1430\n",
      "====> Epoch:  110/2000 (6%)\tLoss: 162.5745\tLL: -147.8439\tKL: 14.7306\tLL/KL: -10.0365\n",
      "====> Epoch:  120/2000 (6%)\tLoss: 140.3991\tLL: -125.1337\tKL: 15.2654\tLL/KL: -8.1972\n",
      "====> Epoch:  130/2000 (6%)\tLoss: 156.4587\tLL: -140.6856\tKL: 15.7731\tLL/KL: -8.9193\n",
      "====> Epoch:  140/2000 (7%)\tLoss: 146.7451\tLL: -130.4696\tKL: 16.2755\tLL/KL: -8.0163\n",
      "====> Epoch:  150/2000 (8%)\tLoss: 128.1262\tLL: -111.4044\tKL: 16.7218\tLL/KL: -6.6622\n",
      "====> Epoch:  160/2000 (8%)\tLoss: 134.7023\tLL: -117.6008\tKL: 17.1016\tLL/KL: -6.8766\n",
      "====> Epoch:  170/2000 (8%)\tLoss: 127.5803\tLL: -110.1273\tKL: 17.4529\tLL/KL: -6.3100\n",
      "====> Epoch:  180/2000 (9%)\tLoss: 125.6468\tLL: -107.8500\tKL: 17.7968\tLL/KL: -6.0601\n",
      "====> Epoch:  190/2000 (10%)\tLoss: 111.4376\tLL: -93.2936\tKL: 18.1440\tLL/KL: -5.1418\n",
      "====> Epoch:  200/2000 (10%)\tLoss: 112.9889\tLL: -94.4964\tKL: 18.4925\tLL/KL: -5.1100\n",
      "====> Epoch:  210/2000 (10%)\tLoss: 107.0486\tLL: -88.2524\tKL: 18.7963\tLL/KL: -4.6952\n",
      "====> Epoch:  220/2000 (11%)\tLoss: 102.7866\tLL: -83.7753\tKL: 19.0113\tLL/KL: -4.4066\n",
      "====> Epoch:  230/2000 (12%)\tLoss: 116.7608\tLL: -97.5478\tKL: 19.2130\tLL/KL: -5.0772\n",
      "====> Epoch:  240/2000 (12%)\tLoss: 105.2811\tLL: -85.8860\tKL: 19.3951\tLL/KL: -4.4282\n",
      "====> Epoch:  250/2000 (12%)\tLoss: 104.4241\tLL: -84.8598\tKL: 19.5643\tLL/KL: -4.3375\n",
      "====> Epoch:  260/2000 (13%)\tLoss: 109.4175\tLL: -89.7018\tKL: 19.7157\tLL/KL: -4.5498\n",
      "====> Epoch:  270/2000 (14%)\tLoss: 106.7270\tLL: -86.8436\tKL: 19.8834\tLL/KL: -4.3676\n",
      "====> Epoch:  280/2000 (14%)\tLoss: 101.3530\tLL: -81.3014\tKL: 20.0516\tLL/KL: -4.0546\n",
      "====> Epoch:  290/2000 (14%)\tLoss: 99.5480\tLL: -79.3489\tKL: 20.1991\tLL/KL: -3.9283\n",
      "====> Epoch:  300/2000 (15%)\tLoss: 97.7363\tLL: -77.3949\tKL: 20.3414\tLL/KL: -3.8048\n",
      "====> Epoch:  310/2000 (16%)\tLoss: 100.5173\tLL: -80.1020\tKL: 20.4152\tLL/KL: -3.9236\n",
      "====> Epoch:  320/2000 (16%)\tLoss: 98.7154\tLL: -78.2094\tKL: 20.5060\tLL/KL: -3.8140\n",
      "====> Epoch:  330/2000 (16%)\tLoss: 96.0377\tLL: -75.4293\tKL: 20.6085\tLL/KL: -3.6601\n",
      "====> Epoch:  340/2000 (17%)\tLoss: 97.3367\tLL: -76.6113\tKL: 20.7253\tLL/KL: -3.6965\n",
      "====> Epoch:  350/2000 (18%)\tLoss: 103.9093\tLL: -83.0878\tKL: 20.8215\tLL/KL: -3.9905\n",
      "====> Epoch:  360/2000 (18%)\tLoss: 94.4130\tLL: -73.4888\tKL: 20.9242\tLL/KL: -3.5121\n",
      "====> Epoch:  370/2000 (18%)\tLoss: 89.3210\tLL: -68.3293\tKL: 20.9916\tLL/KL: -3.2551\n",
      "====> Epoch:  380/2000 (19%)\tLoss: 95.5444\tLL: -74.5178\tKL: 21.0265\tLL/KL: -3.5440\n",
      "====> Epoch:  390/2000 (20%)\tLoss: 94.0255\tLL: -72.9806\tKL: 21.0449\tLL/KL: -3.4679\n",
      "====> Epoch:  400/2000 (20%)\tLoss: 92.2945\tLL: -71.2670\tKL: 21.0275\tLL/KL: -3.3892\n",
      "====> Epoch:  410/2000 (20%)\tLoss: 87.6133\tLL: -66.5822\tKL: 21.0312\tLL/KL: -3.1659\n",
      "====> Epoch:  420/2000 (21%)\tLoss: 94.3261\tLL: -73.2913\tKL: 21.0348\tLL/KL: -3.4843\n",
      "====> Epoch:  430/2000 (22%)\tLoss: 92.5770\tLL: -71.5085\tKL: 21.0686\tLL/KL: -3.3941\n",
      "====> Epoch:  440/2000 (22%)\tLoss: 90.6508\tLL: -69.5792\tKL: 21.0716\tLL/KL: -3.3020\n",
      "====> Epoch:  450/2000 (22%)\tLoss: 87.4668\tLL: -66.4198\tKL: 21.0471\tLL/KL: -3.1558\n",
      "====> Epoch:  460/2000 (23%)\tLoss: 89.9094\tLL: -68.8825\tKL: 21.0269\tLL/KL: -3.2759\n",
      "====> Epoch:  470/2000 (24%)\tLoss: 86.5698\tLL: -65.5350\tKL: 21.0348\tLL/KL: -3.1156\n",
      "====> Epoch:  480/2000 (24%)\tLoss: 88.5133\tLL: -67.5013\tKL: 21.0120\tLL/KL: -3.2125\n",
      "====> Epoch:  490/2000 (24%)\tLoss: 89.0428\tLL: -68.1006\tKL: 20.9421\tLL/KL: -3.2518\n",
      "====> Epoch:  500/2000 (25%)\tLoss: 92.2254\tLL: -71.2982\tKL: 20.9272\tLL/KL: -3.4070\n",
      "====> Epoch:  510/2000 (26%)\tLoss: 93.7218\tLL: -72.7853\tKL: 20.9364\tLL/KL: -3.4765\n",
      "====> Epoch:  520/2000 (26%)\tLoss: 87.0755\tLL: -66.1726\tKL: 20.9029\tLL/KL: -3.1657\n",
      "====> Epoch:  530/2000 (26%)\tLoss: 88.3572\tLL: -67.5279\tKL: 20.8293\tLL/KL: -3.2420\n",
      "====> Epoch:  540/2000 (27%)\tLoss: 87.0809\tLL: -66.3027\tKL: 20.7782\tLL/KL: -3.1910\n",
      "====> Epoch:  550/2000 (28%)\tLoss: 86.1628\tLL: -65.4137\tKL: 20.7491\tLL/KL: -3.1526\n",
      "====> Epoch:  560/2000 (28%)\tLoss: 96.1798\tLL: -75.4597\tKL: 20.7201\tLL/KL: -3.6419\n",
      "====> Epoch:  570/2000 (28%)\tLoss: 90.3586\tLL: -69.6636\tKL: 20.6950\tLL/KL: -3.3662\n",
      "====> Epoch:  580/2000 (29%)\tLoss: 83.8376\tLL: -63.2267\tKL: 20.6109\tLL/KL: -3.0676\n",
      "====> Epoch:  590/2000 (30%)\tLoss: 86.9033\tLL: -66.4120\tKL: 20.4913\tLL/KL: -3.2410\n",
      "====> Epoch:  600/2000 (30%)\tLoss: 84.5814\tLL: -64.1664\tKL: 20.4150\tLL/KL: -3.1431\n",
      "====> Epoch:  610/2000 (30%)\tLoss: 85.0503\tLL: -64.7062\tKL: 20.3440\tLL/KL: -3.1806\n",
      "====> Epoch:  620/2000 (31%)\tLoss: 93.4928\tLL: -73.2072\tKL: 20.2856\tLL/KL: -3.6088\n",
      "====> Epoch:  630/2000 (32%)\tLoss: 88.2518\tLL: -68.0285\tKL: 20.2233\tLL/KL: -3.3639\n",
      "====> Epoch:  640/2000 (32%)\tLoss: 86.0427\tLL: -65.9319\tKL: 20.1108\tLL/KL: -3.2784\n",
      "====> Epoch:  650/2000 (32%)\tLoss: 88.2907\tLL: -68.2993\tKL: 19.9914\tLL/KL: -3.4164\n",
      "====> Epoch:  660/2000 (33%)\tLoss: 82.4630\tLL: -62.5689\tKL: 19.8941\tLL/KL: -3.1451\n",
      "====> Epoch:  670/2000 (34%)\tLoss: 85.6650\tLL: -65.9167\tKL: 19.7483\tLL/KL: -3.3378\n",
      "====> Epoch:  680/2000 (34%)\tLoss: 85.9705\tLL: -66.3702\tKL: 19.6003\tLL/KL: -3.3862\n",
      "====> Epoch:  690/2000 (34%)\tLoss: 88.8406\tLL: -69.3730\tKL: 19.4676\tLL/KL: -3.5635\n",
      "====> Epoch:  700/2000 (35%)\tLoss: 81.8129\tLL: -62.4146\tKL: 19.3984\tLL/KL: -3.2175\n",
      "====> Epoch:  710/2000 (36%)\tLoss: 84.1423\tLL: -64.8114\tKL: 19.3309\tLL/KL: -3.3527\n",
      "====> Epoch:  720/2000 (36%)\tLoss: 86.5474\tLL: -67.3079\tKL: 19.2395\tLL/KL: -3.4984\n",
      "====> Epoch:  730/2000 (36%)\tLoss: 89.7459\tLL: -70.5699\tKL: 19.1760\tLL/KL: -3.6801\n",
      "====> Epoch:  740/2000 (37%)\tLoss: 89.7660\tLL: -70.6763\tKL: 19.0897\tLL/KL: -3.7023\n",
      "====> Epoch:  750/2000 (38%)\tLoss: 84.7307\tLL: -65.7217\tKL: 19.0089\tLL/KL: -3.4574\n",
      "====> Epoch:  760/2000 (38%)\tLoss: 86.2784\tLL: -67.3587\tKL: 18.9198\tLL/KL: -3.5602\n",
      "====> Epoch:  770/2000 (38%)\tLoss: 85.9628\tLL: -67.1315\tKL: 18.8312\tLL/KL: -3.5649\n",
      "====> Epoch:  780/2000 (39%)\tLoss: 85.6594\tLL: -66.9518\tKL: 18.7075\tLL/KL: -3.5789\n",
      "====> Epoch:  790/2000 (40%)\tLoss: 86.7187\tLL: -68.1552\tKL: 18.5635\tLL/KL: -3.6715\n",
      "====> Epoch:  800/2000 (40%)\tLoss: 86.4013\tLL: -67.9205\tKL: 18.4808\tLL/KL: -3.6752\n",
      "====> Epoch:  810/2000 (40%)\tLoss: 83.1318\tLL: -64.6946\tKL: 18.4372\tLL/KL: -3.5089\n",
      "====> Epoch:  820/2000 (41%)\tLoss: 89.4107\tLL: -71.0452\tKL: 18.3656\tLL/KL: -3.8684\n",
      "====> Epoch:  830/2000 (42%)\tLoss: 86.4527\tLL: -68.1127\tKL: 18.3401\tLL/KL: -3.7139\n",
      "====> Epoch:  840/2000 (42%)\tLoss: 87.1670\tLL: -68.8699\tKL: 18.2971\tLL/KL: -3.7640\n",
      "====> Epoch:  850/2000 (42%)\tLoss: 83.5198\tLL: -65.3012\tKL: 18.2186\tLL/KL: -3.5843\n",
      "====> Epoch:  860/2000 (43%)\tLoss: 87.2913\tLL: -69.1793\tKL: 18.1119\tLL/KL: -3.8195\n",
      "====> Epoch:  870/2000 (44%)\tLoss: 85.1740\tLL: -67.1787\tKL: 17.9952\tLL/KL: -3.7331\n",
      "====> Epoch:  880/2000 (44%)\tLoss: 83.0574\tLL: -65.1568\tKL: 17.9006\tLL/KL: -3.6399\n",
      "====> Epoch:  890/2000 (44%)\tLoss: 82.8247\tLL: -65.0303\tKL: 17.7944\tLL/KL: -3.6545\n",
      "====> Epoch:  900/2000 (45%)\tLoss: 87.2281\tLL: -69.5328\tKL: 17.6953\tLL/KL: -3.9295\n",
      "====> Epoch:  910/2000 (46%)\tLoss: 83.1580\tLL: -65.5271\tKL: 17.6309\tLL/KL: -3.7166\n",
      "====> Epoch:  920/2000 (46%)\tLoss: 84.8962\tLL: -67.3767\tKL: 17.5195\tLL/KL: -3.8458\n",
      "====> Epoch:  930/2000 (46%)\tLoss: 83.0097\tLL: -65.5978\tKL: 17.4118\tLL/KL: -3.7674\n",
      "====> Epoch:  940/2000 (47%)\tLoss: 82.9056\tLL: -65.6160\tKL: 17.2897\tLL/KL: -3.7951\n",
      "====> Epoch:  950/2000 (48%)\tLoss: 85.1687\tLL: -68.0050\tKL: 17.1636\tLL/KL: -3.9622\n",
      "====> Epoch:  960/2000 (48%)\tLoss: 79.3569\tLL: -62.3406\tKL: 17.0163\tLL/KL: -3.6636\n",
      "====> Epoch:  970/2000 (48%)\tLoss: 84.6065\tLL: -67.7693\tKL: 16.8373\tLL/KL: -4.0250\n",
      "====> Epoch:  980/2000 (49%)\tLoss: 84.5835\tLL: -67.8235\tKL: 16.7600\tLL/KL: -4.0468\n",
      "====> Epoch:  990/2000 (50%)\tLoss: 82.9494\tLL: -66.2140\tKL: 16.7354\tLL/KL: -3.9565\n",
      "====> Epoch: 1000/2000 (50%)\tLoss: 83.6329\tLL: -66.9389\tKL: 16.6939\tLL/KL: -4.0098\n",
      "====> Epoch: 1010/2000 (50%)\tLoss: 83.4955\tLL: -66.8854\tKL: 16.6101\tLL/KL: -4.0268\n",
      "====> Epoch: 1020/2000 (51%)\tLoss: 85.0151\tLL: -68.4876\tKL: 16.5275\tLL/KL: -4.1439\n",
      "====> Epoch: 1030/2000 (52%)\tLoss: 85.0294\tLL: -68.5760\tKL: 16.4534\tLL/KL: -4.1679\n",
      "====> Epoch: 1040/2000 (52%)\tLoss: 83.6112\tLL: -67.2192\tKL: 16.3920\tLL/KL: -4.1007\n",
      "====> Epoch: 1050/2000 (52%)\tLoss: 82.2819\tLL: -65.9097\tKL: 16.3722\tLL/KL: -4.0257\n",
      "====> Epoch: 1060/2000 (53%)\tLoss: 85.9581\tLL: -69.6074\tKL: 16.3508\tLL/KL: -4.2571\n",
      "====> Epoch: 1070/2000 (54%)\tLoss: 84.3133\tLL: -68.0580\tKL: 16.2554\tLL/KL: -4.1868\n",
      "====> Epoch: 1080/2000 (54%)\tLoss: 83.9527\tLL: -67.7704\tKL: 16.1822\tLL/KL: -4.1880\n",
      "====> Epoch: 1090/2000 (54%)\tLoss: 85.6201\tLL: -69.4867\tKL: 16.1334\tLL/KL: -4.3070\n",
      "====> Epoch: 1100/2000 (55%)\tLoss: 79.6765\tLL: -63.5944\tKL: 16.0821\tLL/KL: -3.9544\n",
      "====> Epoch: 1110/2000 (56%)\tLoss: 80.9203\tLL: -64.8895\tKL: 16.0308\tLL/KL: -4.0478\n",
      "====> Epoch: 1120/2000 (56%)\tLoss: 84.2441\tLL: -68.2756\tKL: 15.9685\tLL/KL: -4.2757\n",
      "====> Epoch: 1130/2000 (56%)\tLoss: 81.5507\tLL: -65.5965\tKL: 15.9543\tLL/KL: -4.1115\n",
      "====> Epoch: 1140/2000 (57%)\tLoss: 81.7103\tLL: -65.7969\tKL: 15.9134\tLL/KL: -4.1347\n",
      "====> Epoch: 1150/2000 (58%)\tLoss: 82.4506\tLL: -66.6310\tKL: 15.8195\tLL/KL: -4.2119\n",
      "====> Epoch: 1160/2000 (58%)\tLoss: 82.7420\tLL: -66.9863\tKL: 15.7557\tLL/KL: -4.2516\n",
      "====> Epoch: 1170/2000 (58%)\tLoss: 84.1564\tLL: -68.4545\tKL: 15.7019\tLL/KL: -4.3596\n",
      "====> Epoch: 1180/2000 (59%)\tLoss: 86.3438\tLL: -70.7491\tKL: 15.5947\tLL/KL: -4.5367\n",
      "====> Epoch: 1190/2000 (60%)\tLoss: 80.7141\tLL: -65.2010\tKL: 15.5131\tLL/KL: -4.2030\n",
      "====> Epoch: 1200/2000 (60%)\tLoss: 82.0161\tLL: -66.5459\tKL: 15.4702\tLL/KL: -4.3016\n",
      "====> Epoch: 1210/2000 (60%)\tLoss: 81.0830\tLL: -65.6428\tKL: 15.4401\tLL/KL: -4.2514\n",
      "====> Epoch: 1220/2000 (61%)\tLoss: 80.7641\tLL: -65.4033\tKL: 15.3608\tLL/KL: -4.2578\n",
      "====> Epoch: 1230/2000 (62%)\tLoss: 83.2231\tLL: -67.9354\tKL: 15.2877\tLL/KL: -4.4438\n",
      "====> Epoch: 1240/2000 (62%)\tLoss: 77.5507\tLL: -62.3281\tKL: 15.2226\tLL/KL: -4.0945\n",
      "====> Epoch: 1250/2000 (62%)\tLoss: 81.6446\tLL: -66.5262\tKL: 15.1184\tLL/KL: -4.4004\n",
      "====> Epoch: 1260/2000 (63%)\tLoss: 82.9000\tLL: -67.8532\tKL: 15.0469\tLL/KL: -4.5095\n",
      "====> Epoch: 1270/2000 (64%)\tLoss: 78.5287\tLL: -63.5229\tKL: 15.0058\tLL/KL: -4.2332\n",
      "====> Epoch: 1280/2000 (64%)\tLoss: 77.0077\tLL: -62.0243\tKL: 14.9834\tLL/KL: -4.1395\n",
      "====> Epoch: 1290/2000 (64%)\tLoss: 81.8436\tLL: -66.9425\tKL: 14.9011\tLL/KL: -4.4925\n",
      "====> Epoch: 1300/2000 (65%)\tLoss: 82.0836\tLL: -67.2705\tKL: 14.8131\tLL/KL: -4.5413\n",
      "====> Epoch: 1310/2000 (66%)\tLoss: 82.7341\tLL: -67.9884\tKL: 14.7457\tLL/KL: -4.6107\n",
      "====> Epoch: 1320/2000 (66%)\tLoss: 81.9552\tLL: -67.2739\tKL: 14.6813\tLL/KL: -4.5823\n",
      "====> Epoch: 1330/2000 (66%)\tLoss: 83.2803\tLL: -68.6440\tKL: 14.6363\tLL/KL: -4.6900\n",
      "====> Epoch: 1340/2000 (67%)\tLoss: 78.9803\tLL: -64.4142\tKL: 14.5662\tLL/KL: -4.4222\n",
      "====> Epoch: 1350/2000 (68%)\tLoss: 79.4060\tLL: -64.9250\tKL: 14.4810\tLL/KL: -4.4835\n",
      "====> Epoch: 1360/2000 (68%)\tLoss: 82.1952\tLL: -67.8299\tKL: 14.3653\tLL/KL: -4.7218\n",
      "====> Epoch: 1370/2000 (68%)\tLoss: 77.9140\tLL: -63.6109\tKL: 14.3031\tLL/KL: -4.4474\n",
      "====> Epoch: 1380/2000 (69%)\tLoss: 78.0034\tLL: -63.7890\tKL: 14.2144\tLL/KL: -4.4876\n",
      "====> Epoch: 1390/2000 (70%)\tLoss: 80.3084\tLL: -66.2037\tKL: 14.1047\tLL/KL: -4.6937\n",
      "====> Epoch: 1400/2000 (70%)\tLoss: 80.7499\tLL: -66.7517\tKL: 13.9982\tLL/KL: -4.7686\n",
      "====> Epoch: 1410/2000 (70%)\tLoss: 80.4778\tLL: -66.5488\tKL: 13.9290\tLL/KL: -4.7777\n",
      "====> Epoch: 1420/2000 (71%)\tLoss: 78.5853\tLL: -64.7448\tKL: 13.8404\tLL/KL: -4.6780\n",
      "====> Epoch: 1430/2000 (72%)\tLoss: 80.8835\tLL: -67.1259\tKL: 13.7576\tLL/KL: -4.8792\n",
      "====> Epoch: 1440/2000 (72%)\tLoss: 78.8107\tLL: -65.1124\tKL: 13.6983\tLL/KL: -4.7533\n",
      "====> Epoch: 1450/2000 (72%)\tLoss: 77.6138\tLL: -63.9537\tKL: 13.6601\tLL/KL: -4.6818\n",
      "====> Epoch: 1460/2000 (73%)\tLoss: 77.9990\tLL: -64.4203\tKL: 13.5787\tLL/KL: -4.7442\n",
      "====> Epoch: 1470/2000 (74%)\tLoss: 78.0830\tLL: -64.5905\tKL: 13.4925\tLL/KL: -4.7871\n",
      "====> Epoch: 1480/2000 (74%)\tLoss: 79.8671\tLL: -66.4622\tKL: 13.4048\tLL/KL: -4.9581\n",
      "====> Epoch: 1490/2000 (74%)\tLoss: 78.7786\tLL: -65.3954\tKL: 13.3832\tLL/KL: -4.8864\n",
      "====> Epoch: 1500/2000 (75%)\tLoss: 76.2926\tLL: -62.9351\tKL: 13.3575\tLL/KL: -4.7116\n",
      "====> Epoch: 1510/2000 (76%)\tLoss: 79.0159\tLL: -65.7073\tKL: 13.3086\tLL/KL: -4.9372\n",
      "====> Epoch: 1520/2000 (76%)\tLoss: 78.4256\tLL: -65.1903\tKL: 13.2353\tLL/KL: -4.9255\n",
      "====> Epoch: 1530/2000 (76%)\tLoss: 76.8192\tLL: -63.6424\tKL: 13.1767\tLL/KL: -4.8299\n",
      "====> Epoch: 1540/2000 (77%)\tLoss: 80.0161\tLL: -66.8823\tKL: 13.1338\tLL/KL: -5.0924\n",
      "====> Epoch: 1550/2000 (78%)\tLoss: 78.3162\tLL: -65.2199\tKL: 13.0963\tLL/KL: -4.9800\n",
      "====> Epoch: 1560/2000 (78%)\tLoss: 82.0636\tLL: -69.0152\tKL: 13.0484\tLL/KL: -5.2892\n",
      "====> Epoch: 1570/2000 (78%)\tLoss: 79.1806\tLL: -66.1583\tKL: 13.0223\tLL/KL: -5.0804\n",
      "====> Epoch: 1580/2000 (79%)\tLoss: 83.4594\tLL: -70.4916\tKL: 12.9677\tLL/KL: -5.4359\n",
      "====> Epoch: 1590/2000 (80%)\tLoss: 80.1861\tLL: -67.2671\tKL: 12.9190\tLL/KL: -5.2068\n",
      "====> Epoch: 1600/2000 (80%)\tLoss: 80.4321\tLL: -67.5678\tKL: 12.8642\tLL/KL: -5.2524\n",
      "====> Epoch: 1610/2000 (80%)\tLoss: 79.2655\tLL: -66.4662\tKL: 12.7993\tLL/KL: -5.1929\n",
      "====> Epoch: 1620/2000 (81%)\tLoss: 78.4421\tLL: -65.7006\tKL: 12.7415\tLL/KL: -5.1564\n",
      "====> Epoch: 1630/2000 (82%)\tLoss: 80.3768\tLL: -67.6981\tKL: 12.6787\tLL/KL: -5.3395\n",
      "====> Epoch: 1640/2000 (82%)\tLoss: 77.3026\tLL: -64.6624\tKL: 12.6402\tLL/KL: -5.1156\n",
      "====> Epoch: 1650/2000 (82%)\tLoss: 83.8562\tLL: -71.2793\tKL: 12.5769\tLL/KL: -5.6675\n",
      "====> Epoch: 1660/2000 (83%)\tLoss: 81.2022\tLL: -68.6473\tKL: 12.5549\tLL/KL: -5.4678\n",
      "====> Epoch: 1670/2000 (84%)\tLoss: 77.8340\tLL: -65.3240\tKL: 12.5100\tLL/KL: -5.2217\n",
      "====> Epoch: 1680/2000 (84%)\tLoss: 77.7928\tLL: -65.3297\tKL: 12.4632\tLL/KL: -5.2418\n",
      "====> Epoch: 1690/2000 (84%)\tLoss: 77.9210\tLL: -65.4614\tKL: 12.4595\tLL/KL: -5.2539\n",
      "====> Epoch: 1700/2000 (85%)\tLoss: 79.3857\tLL: -66.9246\tKL: 12.4611\tLL/KL: -5.3707\n",
      "====> Epoch: 1710/2000 (86%)\tLoss: 78.3231\tLL: -65.8839\tKL: 12.4392\tLL/KL: -5.2965\n",
      "====> Epoch: 1720/2000 (86%)\tLoss: 77.8055\tLL: -65.4022\tKL: 12.4033\tLL/KL: -5.2730\n",
      "====> Epoch: 1730/2000 (86%)\tLoss: 78.3968\tLL: -66.0194\tKL: 12.3774\tLL/KL: -5.3339\n",
      "====> Epoch: 1740/2000 (87%)\tLoss: 78.4399\tLL: -66.0896\tKL: 12.3503\tLL/KL: -5.3512\n",
      "====> Epoch: 1750/2000 (88%)\tLoss: 78.1618\tLL: -65.8608\tKL: 12.3009\tLL/KL: -5.3541\n",
      "====> Epoch: 1760/2000 (88%)\tLoss: 76.8705\tLL: -64.6124\tKL: 12.2581\tLL/KL: -5.2710\n",
      "====> Epoch: 1770/2000 (88%)\tLoss: 79.2967\tLL: -67.0667\tKL: 12.2301\tLL/KL: -5.4838\n",
      "====> Epoch: 1780/2000 (89%)\tLoss: 78.4592\tLL: -66.2492\tKL: 12.2100\tLL/KL: -5.4258\n",
      "====> Epoch: 1790/2000 (90%)\tLoss: 79.3651\tLL: -67.1783\tKL: 12.1868\tLL/KL: -5.5124\n",
      "====> Epoch: 1800/2000 (90%)\tLoss: 77.5263\tLL: -65.3536\tKL: 12.1727\tLL/KL: -5.3689\n",
      "====> Epoch: 1810/2000 (90%)\tLoss: 79.1187\tLL: -67.0014\tKL: 12.1173\tLL/KL: -5.5294\n",
      "====> Epoch: 1820/2000 (91%)\tLoss: 81.0674\tLL: -68.9634\tKL: 12.1040\tLL/KL: -5.6976\n",
      "====> Epoch: 1830/2000 (92%)\tLoss: 78.0019\tLL: -65.8945\tKL: 12.1074\tLL/KL: -5.4425\n",
      "====> Epoch: 1840/2000 (92%)\tLoss: 78.7046\tLL: -66.6422\tKL: 12.0624\tLL/KL: -5.5248\n",
      "====> Epoch: 1850/2000 (92%)\tLoss: 78.5902\tLL: -66.5646\tKL: 12.0256\tLL/KL: -5.5353\n",
      "====> Epoch: 1860/2000 (93%)\tLoss: 79.0942\tLL: -67.1072\tKL: 11.9870\tLL/KL: -5.5983\n",
      "====> Epoch: 1870/2000 (94%)\tLoss: 80.5933\tLL: -68.6352\tKL: 11.9581\tLL/KL: -5.7396\n",
      "====> Epoch: 1880/2000 (94%)\tLoss: 78.0820\tLL: -66.1501\tKL: 11.9319\tLL/KL: -5.5440\n",
      "====> Epoch: 1890/2000 (94%)\tLoss: 80.5553\tLL: -68.6375\tKL: 11.9178\tLL/KL: -5.7593\n",
      "====> Epoch: 1900/2000 (95%)\tLoss: 77.6614\tLL: -65.7152\tKL: 11.9462\tLL/KL: -5.5009\n",
      "====> Epoch: 1910/2000 (96%)\tLoss: 76.9956\tLL: -65.0228\tKL: 11.9728\tLL/KL: -5.4309\n",
      "====> Epoch: 1920/2000 (96%)\tLoss: 77.9682\tLL: -66.0125\tKL: 11.9557\tLL/KL: -5.5214\n",
      "====> Epoch: 1930/2000 (96%)\tLoss: 78.6564\tLL: -66.7150\tKL: 11.9414\tLL/KL: -5.5869\n",
      "====> Epoch: 1940/2000 (97%)\tLoss: 79.9103\tLL: -67.9964\tKL: 11.9139\tLL/KL: -5.7073\n",
      "====> Epoch: 1950/2000 (98%)\tLoss: 79.6287\tLL: -67.7278\tKL: 11.9009\tLL/KL: -5.6910\n",
      "====> Epoch: 1960/2000 (98%)\tLoss: 77.3439\tLL: -65.4618\tKL: 11.8821\tLL/KL: -5.5093\n",
      "====> Epoch: 1970/2000 (98%)\tLoss: 77.4621\tLL: -65.6008\tKL: 11.8613\tLL/KL: -5.5307\n",
      "====> Epoch: 1980/2000 (99%)\tLoss: 77.0847\tLL: -65.2359\tKL: 11.8488\tLL/KL: -5.5057\n",
      "====> Epoch: 1990/2000 (100%)\tLoss: 78.2276\tLL: -66.4153\tKL: 11.8123\tLL/KL: -5.6226\n"
     ]
    }
   ],
   "source": [
    "mcvae1 = MCVAE_instance(clinical_df, brainvolume_df, n_latents=num_latent_dims, n_epochs=2000)\n",
    "mcvae1.mcvae_prepare_data()\n",
    "mcvae1.plot_dropouts(plot_flag=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch chosen after early stopping with patience 20                     and tolerance 3 : 1626.\n",
      "...fitting MCVAE with 5 latent dimensions and 1626 epochs...\n",
      "====> Epoch:    0/1626 (0%)\tLoss: 847.5724\tLL: -843.2665\tKL: 4.3059\tLL/KL: -195.8389\n",
      "====> Epoch:   10/1626 (1%)\tLoss: 606.7869\tLL: -602.1470\tKL: 4.6399\tLL/KL: -129.7755\n",
      "====> Epoch:   20/1626 (1%)\tLoss: 447.9848\tLL: -443.0121\tKL: 4.9727\tLL/KL: -89.0886\n",
      "====> Epoch:   30/1626 (2%)\tLoss: 375.0461\tLL: -369.7189\tKL: 5.3272\tLL/KL: -69.4017\n",
      "====> Epoch:   40/1626 (2%)\tLoss: 280.4250\tLL: -274.7147\tKL: 5.7103\tLL/KL: -48.1085\n",
      "====> Epoch:   50/1626 (3%)\tLoss: 250.7772\tLL: -244.6794\tKL: 6.0978\tLL/KL: -40.1258\n",
      "====> Epoch:   60/1626 (4%)\tLoss: 235.8159\tLL: -229.3569\tKL: 6.4591\tLL/KL: -35.5094\n",
      "====> Epoch:   70/1626 (4%)\tLoss: 228.4020\tLL: -221.5483\tKL: 6.8537\tLL/KL: -32.3252\n",
      "====> Epoch:   80/1626 (5%)\tLoss: 209.1693\tLL: -201.9468\tKL: 7.2226\tLL/KL: -27.9606\n",
      "====> Epoch:   90/1626 (6%)\tLoss: 184.9698\tLL: -177.4151\tKL: 7.5548\tLL/KL: -23.4838\n",
      "====> Epoch:  100/1626 (6%)\tLoss: 190.8299\tLL: -182.9338\tKL: 7.8961\tLL/KL: -23.1676\n",
      "====> Epoch:  110/1626 (7%)\tLoss: 171.0992\tLL: -162.8530\tKL: 8.2461\tLL/KL: -19.7490\n",
      "====> Epoch:  120/1626 (7%)\tLoss: 151.8705\tLL: -143.2617\tKL: 8.6088\tLL/KL: -16.6414\n",
      "====> Epoch:  130/1626 (8%)\tLoss: 148.3001\tLL: -139.3736\tKL: 8.9265\tLL/KL: -15.6134\n",
      "====> Epoch:  140/1626 (9%)\tLoss: 146.2989\tLL: -137.0946\tKL: 9.2043\tLL/KL: -14.8946\n",
      "====> Epoch:  150/1626 (9%)\tLoss: 129.9996\tLL: -120.5004\tKL: 9.4992\tLL/KL: -12.6853\n",
      "====> Epoch:  160/1626 (10%)\tLoss: 124.4198\tLL: -114.6240\tKL: 9.7958\tLL/KL: -11.7013\n",
      "====> Epoch:  170/1626 (10%)\tLoss: 127.4717\tLL: -117.3950\tKL: 10.0767\tLL/KL: -11.6502\n",
      "====> Epoch:  180/1626 (11%)\tLoss: 125.8527\tLL: -115.5346\tKL: 10.3181\tLL/KL: -11.1973\n",
      "====> Epoch:  190/1626 (12%)\tLoss: 128.8271\tLL: -118.2661\tKL: 10.5610\tLL/KL: -11.1983\n",
      "====> Epoch:  200/1626 (12%)\tLoss: 113.9556\tLL: -103.1486\tKL: 10.8070\tLL/KL: -9.5446\n",
      "====> Epoch:  210/1626 (13%)\tLoss: 116.7971\tLL: -105.7607\tKL: 11.0364\tLL/KL: -9.5829\n",
      "====> Epoch:  220/1626 (14%)\tLoss: 114.5467\tLL: -103.2767\tKL: 11.2700\tLL/KL: -9.1638\n",
      "====> Epoch:  230/1626 (14%)\tLoss: 111.1479\tLL: -99.6679\tKL: 11.4800\tLL/KL: -8.6819\n",
      "====> Epoch:  240/1626 (15%)\tLoss: 104.4863\tLL: -92.8179\tKL: 11.6684\tLL/KL: -7.9546\n",
      "====> Epoch:  250/1626 (15%)\tLoss: 109.4622\tLL: -97.6092\tKL: 11.8530\tLL/KL: -8.2350\n",
      "====> Epoch:  260/1626 (16%)\tLoss: 106.7856\tLL: -94.7454\tKL: 12.0402\tLL/KL: -7.8691\n",
      "====> Epoch:  270/1626 (17%)\tLoss: 107.1124\tLL: -94.8732\tKL: 12.2393\tLL/KL: -7.7515\n",
      "====> Epoch:  280/1626 (17%)\tLoss: 104.5724\tLL: -92.1479\tKL: 12.4245\tLL/KL: -7.4166\n",
      "====> Epoch:  290/1626 (18%)\tLoss: 97.3430\tLL: -84.7359\tKL: 12.6071\tLL/KL: -6.7213\n",
      "====> Epoch:  300/1626 (18%)\tLoss: 93.3253\tLL: -80.5564\tKL: 12.7689\tLL/KL: -6.3088\n",
      "====> Epoch:  310/1626 (19%)\tLoss: 97.8072\tLL: -84.9030\tKL: 12.9042\tLL/KL: -6.5795\n",
      "====> Epoch:  320/1626 (20%)\tLoss: 94.8249\tLL: -81.7895\tKL: 13.0353\tLL/KL: -6.2745\n",
      "====> Epoch:  330/1626 (20%)\tLoss: 97.6653\tLL: -84.4836\tKL: 13.1817\tLL/KL: -6.4091\n",
      "====> Epoch:  340/1626 (21%)\tLoss: 97.1374\tLL: -83.8108\tKL: 13.3266\tLL/KL: -6.2890\n",
      "====> Epoch:  350/1626 (22%)\tLoss: 95.4195\tLL: -81.9479\tKL: 13.4717\tLL/KL: -6.0830\n",
      "====> Epoch:  360/1626 (22%)\tLoss: 96.4393\tLL: -82.8322\tKL: 13.6071\tLL/KL: -6.0874\n",
      "====> Epoch:  370/1626 (23%)\tLoss: 90.8563\tLL: -77.1124\tKL: 13.7439\tLL/KL: -5.6106\n",
      "====> Epoch:  380/1626 (23%)\tLoss: 88.9379\tLL: -75.1027\tKL: 13.8352\tLL/KL: -5.4284\n",
      "====> Epoch:  390/1626 (24%)\tLoss: 89.4752\tLL: -75.5466\tKL: 13.9286\tLL/KL: -5.4239\n",
      "====> Epoch:  400/1626 (25%)\tLoss: 88.0278\tLL: -74.0019\tKL: 14.0259\tLL/KL: -5.2761\n",
      "====> Epoch:  410/1626 (25%)\tLoss: 88.6378\tLL: -74.5230\tKL: 14.1148\tLL/KL: -5.2798\n",
      "====> Epoch:  420/1626 (26%)\tLoss: 87.3304\tLL: -73.1232\tKL: 14.2072\tLL/KL: -5.1469\n",
      "====> Epoch:  430/1626 (26%)\tLoss: 92.2430\tLL: -77.9398\tKL: 14.3033\tLL/KL: -5.4491\n",
      "====> Epoch:  440/1626 (27%)\tLoss: 89.5250\tLL: -75.1276\tKL: 14.3974\tLL/KL: -5.2181\n",
      "====> Epoch:  450/1626 (28%)\tLoss: 87.2880\tLL: -72.8177\tKL: 14.4703\tLL/KL: -5.0322\n",
      "====> Epoch:  460/1626 (28%)\tLoss: 86.4442\tLL: -71.9050\tKL: 14.5392\tLL/KL: -4.9456\n",
      "====> Epoch:  470/1626 (29%)\tLoss: 84.2158\tLL: -69.6039\tKL: 14.6119\tLL/KL: -4.7635\n",
      "====> Epoch:  480/1626 (30%)\tLoss: 87.6782\tLL: -73.0072\tKL: 14.6710\tLL/KL: -4.9763\n",
      "====> Epoch:  490/1626 (30%)\tLoss: 86.3569\tLL: -71.6361\tKL: 14.7207\tLL/KL: -4.8663\n",
      "====> Epoch:  500/1626 (31%)\tLoss: 87.1508\tLL: -72.3936\tKL: 14.7572\tLL/KL: -4.9056\n",
      "====> Epoch:  510/1626 (31%)\tLoss: 82.3168\tLL: -67.5338\tKL: 14.7830\tLL/KL: -4.5684\n",
      "====> Epoch:  520/1626 (32%)\tLoss: 87.5722\tLL: -72.7600\tKL: 14.8122\tLL/KL: -4.9122\n",
      "====> Epoch:  530/1626 (33%)\tLoss: 81.7470\tLL: -66.9017\tKL: 14.8453\tLL/KL: -4.5066\n",
      "====> Epoch:  540/1626 (33%)\tLoss: 87.2770\tLL: -72.4013\tKL: 14.8757\tLL/KL: -4.8671\n",
      "====> Epoch:  550/1626 (34%)\tLoss: 78.9058\tLL: -63.9971\tKL: 14.9087\tLL/KL: -4.2926\n",
      "====> Epoch:  560/1626 (34%)\tLoss: 86.7474\tLL: -71.8149\tKL: 14.9325\tLL/KL: -4.8093\n",
      "====> Epoch:  570/1626 (35%)\tLoss: 82.9764\tLL: -68.0053\tKL: 14.9710\tLL/KL: -4.5425\n",
      "====> Epoch:  580/1626 (36%)\tLoss: 81.8365\tLL: -66.8407\tKL: 14.9959\tLL/KL: -4.4573\n",
      "====> Epoch:  590/1626 (36%)\tLoss: 82.5224\tLL: -67.5195\tKL: 15.0030\tLL/KL: -4.5004\n",
      "====> Epoch:  600/1626 (37%)\tLoss: 82.9035\tLL: -67.8908\tKL: 15.0127\tLL/KL: -4.5222\n",
      "====> Epoch:  610/1626 (38%)\tLoss: 84.3338\tLL: -69.3028\tKL: 15.0310\tLL/KL: -4.6107\n",
      "====> Epoch:  620/1626 (38%)\tLoss: 86.0290\tLL: -70.9663\tKL: 15.0627\tLL/KL: -4.7114\n",
      "====> Epoch:  630/1626 (39%)\tLoss: 83.2610\tLL: -68.1767\tKL: 15.0843\tLL/KL: -4.5197\n",
      "====> Epoch:  640/1626 (39%)\tLoss: 82.8335\tLL: -67.7314\tKL: 15.1021\tLL/KL: -4.4849\n",
      "====> Epoch:  650/1626 (40%)\tLoss: 82.3681\tLL: -67.2466\tKL: 15.1215\tLL/KL: -4.4471\n",
      "====> Epoch:  660/1626 (41%)\tLoss: 82.0686\tLL: -66.9177\tKL: 15.1509\tLL/KL: -4.4168\n",
      "====> Epoch:  670/1626 (41%)\tLoss: 82.6793\tLL: -67.5248\tKL: 15.1545\tLL/KL: -4.4558\n",
      "====> Epoch:  680/1626 (42%)\tLoss: 87.4232\tLL: -72.2792\tKL: 15.1440\tLL/KL: -4.7728\n",
      "====> Epoch:  690/1626 (42%)\tLoss: 81.3823\tLL: -66.2390\tKL: 15.1433\tLL/KL: -4.3742\n",
      "====> Epoch:  700/1626 (43%)\tLoss: 82.9155\tLL: -67.7862\tKL: 15.1293\tLL/KL: -4.4805\n",
      "====> Epoch:  710/1626 (44%)\tLoss: 79.4138\tLL: -64.2939\tKL: 15.1199\tLL/KL: -4.2523\n",
      "====> Epoch:  720/1626 (44%)\tLoss: 81.5815\tLL: -66.4647\tKL: 15.1168\tLL/KL: -4.3967\n",
      "====> Epoch:  730/1626 (45%)\tLoss: 83.2237\tLL: -68.1037\tKL: 15.1201\tLL/KL: -4.5042\n",
      "====> Epoch:  740/1626 (46%)\tLoss: 81.1986\tLL: -66.0627\tKL: 15.1359\tLL/KL: -4.3646\n",
      "====> Epoch:  750/1626 (46%)\tLoss: 81.8111\tLL: -66.6721\tKL: 15.1390\tLL/KL: -4.4040\n",
      "====> Epoch:  760/1626 (47%)\tLoss: 82.5322\tLL: -67.3953\tKL: 15.1369\tLL/KL: -4.4524\n",
      "====> Epoch:  770/1626 (47%)\tLoss: 81.9765\tLL: -66.8572\tKL: 15.1194\tLL/KL: -4.4220\n",
      "====> Epoch:  780/1626 (48%)\tLoss: 82.8661\tLL: -67.7543\tKL: 15.1118\tLL/KL: -4.4835\n",
      "====> Epoch:  790/1626 (49%)\tLoss: 78.2370\tLL: -63.1203\tKL: 15.1167\tLL/KL: -4.1755\n",
      "====> Epoch:  800/1626 (49%)\tLoss: 81.1498\tLL: -66.0280\tKL: 15.1218\tLL/KL: -4.3664\n",
      "====> Epoch:  810/1626 (50%)\tLoss: 84.5931\tLL: -69.4669\tKL: 15.1262\tLL/KL: -4.5925\n",
      "====> Epoch:  820/1626 (50%)\tLoss: 83.1945\tLL: -68.0746\tKL: 15.1199\tLL/KL: -4.5023\n",
      "====> Epoch:  830/1626 (51%)\tLoss: 86.0495\tLL: -70.9382\tKL: 15.1113\tLL/KL: -4.6944\n",
      "====> Epoch:  840/1626 (52%)\tLoss: 82.8353\tLL: -67.7362\tKL: 15.0991\tLL/KL: -4.4861\n",
      "====> Epoch:  850/1626 (52%)\tLoss: 82.6015\tLL: -67.5075\tKL: 15.0940\tLL/KL: -4.4725\n",
      "====> Epoch:  860/1626 (53%)\tLoss: 84.1913\tLL: -69.1061\tKL: 15.0852\tLL/KL: -4.5810\n",
      "====> Epoch:  870/1626 (54%)\tLoss: 82.4320\tLL: -67.3556\tKL: 15.0763\tLL/KL: -4.4676\n",
      "====> Epoch:  880/1626 (54%)\tLoss: 78.0761\tLL: -63.0223\tKL: 15.0538\tLL/KL: -4.1865\n",
      "====> Epoch:  890/1626 (55%)\tLoss: 82.4740\tLL: -67.4363\tKL: 15.0377\tLL/KL: -4.4845\n",
      "====> Epoch:  900/1626 (55%)\tLoss: 77.4492\tLL: -62.4231\tKL: 15.0262\tLL/KL: -4.1543\n",
      "====> Epoch:  910/1626 (56%)\tLoss: 83.9605\tLL: -68.9561\tKL: 15.0044\tLL/KL: -4.5957\n",
      "====> Epoch:  920/1626 (57%)\tLoss: 78.7207\tLL: -63.7252\tKL: 14.9955\tLL/KL: -4.2496\n",
      "====> Epoch:  930/1626 (57%)\tLoss: 80.0453\tLL: -65.0582\tKL: 14.9871\tLL/KL: -4.3409\n",
      "====> Epoch:  940/1626 (58%)\tLoss: 79.6954\tLL: -64.7169\tKL: 14.9785\tLL/KL: -4.3206\n",
      "====> Epoch:  950/1626 (58%)\tLoss: 81.6370\tLL: -66.6682\tKL: 14.9688\tLL/KL: -4.4538\n",
      "====> Epoch:  960/1626 (59%)\tLoss: 82.7326\tLL: -67.7808\tKL: 14.9519\tLL/KL: -4.5333\n",
      "====> Epoch:  970/1626 (60%)\tLoss: 83.2076\tLL: -68.2800\tKL: 14.9276\tLL/KL: -4.5741\n",
      "====> Epoch:  980/1626 (60%)\tLoss: 80.4155\tLL: -65.5113\tKL: 14.9042\tLL/KL: -4.3955\n",
      "====> Epoch:  990/1626 (61%)\tLoss: 80.5911\tLL: -65.7075\tKL: 14.8836\tLL/KL: -4.4148\n",
      "====> Epoch: 1000/1626 (62%)\tLoss: 80.3903\tLL: -65.5429\tKL: 14.8474\tLL/KL: -4.4144\n",
      "====> Epoch: 1010/1626 (62%)\tLoss: 82.2540\tLL: -67.4324\tKL: 14.8216\tLL/KL: -4.5496\n",
      "====> Epoch: 1020/1626 (63%)\tLoss: 79.2440\tLL: -64.4414\tKL: 14.8027\tLL/KL: -4.3534\n",
      "====> Epoch: 1030/1626 (63%)\tLoss: 80.6957\tLL: -65.9292\tKL: 14.7665\tLL/KL: -4.4648\n",
      "====> Epoch: 1040/1626 (64%)\tLoss: 85.3313\tLL: -70.5960\tKL: 14.7353\tLL/KL: -4.7909\n",
      "====> Epoch: 1050/1626 (65%)\tLoss: 81.5908\tLL: -66.8732\tKL: 14.7176\tLL/KL: -4.5437\n",
      "====> Epoch: 1060/1626 (65%)\tLoss: 82.7670\tLL: -68.0772\tKL: 14.6898\tLL/KL: -4.6343\n",
      "====> Epoch: 1070/1626 (66%)\tLoss: 80.3735\tLL: -65.7003\tKL: 14.6732\tLL/KL: -4.4776\n",
      "====> Epoch: 1080/1626 (66%)\tLoss: 80.5206\tLL: -65.8551\tKL: 14.6655\tLL/KL: -4.4905\n",
      "====> Epoch: 1090/1626 (67%)\tLoss: 79.3097\tLL: -64.6557\tKL: 14.6541\tLL/KL: -4.4121\n",
      "====> Epoch: 1100/1626 (68%)\tLoss: 81.6638\tLL: -67.0392\tKL: 14.6246\tLL/KL: -4.5840\n",
      "====> Epoch: 1110/1626 (68%)\tLoss: 79.8910\tLL: -65.2872\tKL: 14.6038\tLL/KL: -4.4706\n",
      "====> Epoch: 1120/1626 (69%)\tLoss: 80.9888\tLL: -66.4192\tKL: 14.5696\tLL/KL: -4.5587\n",
      "====> Epoch: 1130/1626 (69%)\tLoss: 80.4602\tLL: -65.9315\tKL: 14.5286\tLL/KL: -4.5380\n",
      "====> Epoch: 1140/1626 (70%)\tLoss: 79.2098\tLL: -64.6918\tKL: 14.5179\tLL/KL: -4.4560\n",
      "====> Epoch: 1150/1626 (71%)\tLoss: 80.2418\tLL: -65.7403\tKL: 14.5015\tLL/KL: -4.5334\n",
      "====> Epoch: 1160/1626 (71%)\tLoss: 81.3133\tLL: -66.8346\tKL: 14.4787\tLL/KL: -4.6161\n",
      "====> Epoch: 1170/1626 (72%)\tLoss: 80.9439\tLL: -66.4962\tKL: 14.4476\tLL/KL: -4.6026\n",
      "====> Epoch: 1180/1626 (73%)\tLoss: 80.7737\tLL: -66.3617\tKL: 14.4120\tLL/KL: -4.6046\n",
      "====> Epoch: 1190/1626 (73%)\tLoss: 80.0278\tLL: -65.6520\tKL: 14.3757\tLL/KL: -4.5669\n",
      "====> Epoch: 1200/1626 (74%)\tLoss: 80.0140\tLL: -65.6691\tKL: 14.3449\tLL/KL: -4.5779\n",
      "====> Epoch: 1210/1626 (74%)\tLoss: 78.3161\tLL: -63.9932\tKL: 14.3229\tLL/KL: -4.4679\n",
      "====> Epoch: 1220/1626 (75%)\tLoss: 79.4317\tLL: -65.1437\tKL: 14.2880\tLL/KL: -4.5593\n",
      "====> Epoch: 1230/1626 (76%)\tLoss: 79.7469\tLL: -65.5005\tKL: 14.2464\tLL/KL: -4.5977\n",
      "====> Epoch: 1240/1626 (76%)\tLoss: 83.3827\tLL: -69.1832\tKL: 14.1995\tLL/KL: -4.8722\n",
      "====> Epoch: 1250/1626 (77%)\tLoss: 81.6728\tLL: -67.5202\tKL: 14.1526\tLL/KL: -4.7709\n",
      "====> Epoch: 1260/1626 (77%)\tLoss: 79.0662\tLL: -64.9571\tKL: 14.1091\tLL/KL: -4.6039\n",
      "====> Epoch: 1270/1626 (78%)\tLoss: 80.9421\tLL: -66.8510\tKL: 14.0911\tLL/KL: -4.7442\n",
      "====> Epoch: 1280/1626 (79%)\tLoss: 78.6479\tLL: -64.5760\tKL: 14.0720\tLL/KL: -4.5890\n",
      "====> Epoch: 1290/1626 (79%)\tLoss: 79.8861\tLL: -65.8468\tKL: 14.0392\tLL/KL: -4.6902\n",
      "====> Epoch: 1300/1626 (80%)\tLoss: 79.3332\tLL: -65.3236\tKL: 14.0096\tLL/KL: -4.6628\n",
      "====> Epoch: 1310/1626 (81%)\tLoss: 79.9217\tLL: -65.9554\tKL: 13.9664\tLL/KL: -4.7224\n",
      "====> Epoch: 1320/1626 (81%)\tLoss: 78.2023\tLL: -64.2690\tKL: 13.9333\tLL/KL: -4.6126\n",
      "====> Epoch: 1330/1626 (82%)\tLoss: 81.6042\tLL: -67.6989\tKL: 13.9054\tLL/KL: -4.8685\n",
      "====> Epoch: 1340/1626 (82%)\tLoss: 82.4746\tLL: -68.5990\tKL: 13.8757\tLL/KL: -4.9438\n",
      "====> Epoch: 1350/1626 (83%)\tLoss: 81.5234\tLL: -67.6880\tKL: 13.8354\tLL/KL: -4.8924\n",
      "====> Epoch: 1360/1626 (84%)\tLoss: 83.1841\tLL: -69.3913\tKL: 13.7928\tLL/KL: -5.0310\n",
      "====> Epoch: 1370/1626 (84%)\tLoss: 80.4901\tLL: -66.7354\tKL: 13.7547\tLL/KL: -4.8518\n",
      "====> Epoch: 1380/1626 (85%)\tLoss: 78.1164\tLL: -64.3935\tKL: 13.7229\tLL/KL: -4.6924\n",
      "====> Epoch: 1390/1626 (85%)\tLoss: 82.0163\tLL: -68.3264\tKL: 13.6899\tLL/KL: -4.9910\n",
      "====> Epoch: 1400/1626 (86%)\tLoss: 76.6706\tLL: -63.0266\tKL: 13.6440\tLL/KL: -4.6194\n",
      "====> Epoch: 1410/1626 (87%)\tLoss: 80.2158\tLL: -66.6214\tKL: 13.5945\tLL/KL: -4.9006\n",
      "====> Epoch: 1420/1626 (87%)\tLoss: 81.1436\tLL: -67.5898\tKL: 13.5538\tLL/KL: -4.9868\n",
      "====> Epoch: 1430/1626 (88%)\tLoss: 78.9634\tLL: -65.4402\tKL: 13.5232\tLL/KL: -4.8391\n",
      "====> Epoch: 1440/1626 (89%)\tLoss: 78.1249\tLL: -64.6346\tKL: 13.4904\tLL/KL: -4.7912\n",
      "====> Epoch: 1450/1626 (89%)\tLoss: 80.3487\tLL: -66.8909\tKL: 13.4578\tLL/KL: -4.9704\n",
      "====> Epoch: 1460/1626 (90%)\tLoss: 81.1779\tLL: -67.7351\tKL: 13.4428\tLL/KL: -5.0388\n",
      "====> Epoch: 1470/1626 (90%)\tLoss: 84.1757\tLL: -70.7418\tKL: 13.4339\tLL/KL: -5.2659\n",
      "====> Epoch: 1480/1626 (91%)\tLoss: 79.0169\tLL: -65.5983\tKL: 13.4186\tLL/KL: -4.8886\n",
      "====> Epoch: 1490/1626 (92%)\tLoss: 76.7440\tLL: -63.3572\tKL: 13.3868\tLL/KL: -4.7328\n",
      "====> Epoch: 1500/1626 (92%)\tLoss: 81.7436\tLL: -68.3997\tKL: 13.3439\tLL/KL: -5.1259\n",
      "====> Epoch: 1510/1626 (93%)\tLoss: 79.2900\tLL: -65.9788\tKL: 13.3112\tLL/KL: -4.9567\n",
      "====> Epoch: 1520/1626 (93%)\tLoss: 81.5945\tLL: -68.3098\tKL: 13.2847\tLL/KL: -5.1420\n",
      "====> Epoch: 1530/1626 (94%)\tLoss: 77.5842\tLL: -64.3302\tKL: 13.2540\tLL/KL: -4.8537\n",
      "====> Epoch: 1540/1626 (95%)\tLoss: 79.7833\tLL: -66.5661\tKL: 13.2172\tLL/KL: -5.0363\n",
      "====> Epoch: 1550/1626 (95%)\tLoss: 80.2640\tLL: -67.0788\tKL: 13.1853\tLL/KL: -5.0874\n",
      "====> Epoch: 1560/1626 (96%)\tLoss: 79.6914\tLL: -66.5357\tKL: 13.1558\tLL/KL: -5.0575\n",
      "====> Epoch: 1570/1626 (97%)\tLoss: 80.2615\tLL: -67.1400\tKL: 13.1216\tLL/KL: -5.1168\n",
      "====> Epoch: 1580/1626 (97%)\tLoss: 81.9015\tLL: -68.8295\tKL: 13.0721\tLL/KL: -5.2654\n",
      "====> Epoch: 1590/1626 (98%)\tLoss: 80.8866\tLL: -67.8495\tKL: 13.0372\tLL/KL: -5.2043\n",
      "====> Epoch: 1600/1626 (98%)\tLoss: 79.3084\tLL: -66.3074\tKL: 13.0010\tLL/KL: -5.1002\n",
      "====> Epoch: 1610/1626 (99%)\tLoss: 75.9352\tLL: -62.9708\tKL: 12.9643\tLL/KL: -4.8572\n",
      "====> Epoch: 1620/1626 (100%)\tLoss: 79.5078\tLL: -66.5892\tKL: 12.9186\tLL/KL: -5.1545\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 700x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ideal_epoch = early_stopping_tol(tolerance=3, patience=20, loss_logs=mcvae1.big_fit_model.loss['ll'])\n",
    "mcvae1.n_epochs = ideal_epoch\n",
    "mcvae1.fit()\n",
    "mcvae1.plot_loss_own()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Training with leave-one-out protocol with an SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clinical only:\n",
      "F1: {'Support Vector': 0.6666666666666667}, Accuracy: {'Support Vector': 0.6923076923076923}, AUC: {'Support Vector': 0.36094674556213013}\n",
      "Brain volume only:\n",
      "F1: {'Support Vector': 0.5185185185185186}, Accuracy: {'Support Vector': 0.5}, AUC: {'Support Vector': 0.14792899408284022}\n",
      "Concatenated clinical and brain volume:\n",
      "F1: {'Support Vector': 0.5185185185185186}, Accuracy: {'Support Vector': 0.5}, AUC: {'Support Vector': 0.13905325443786984}\n",
      "MCVAE Latent Space:\n",
      "F1: {'Support Vector': 0.608695652173913}, Accuracy: {'Support Vector': 0.6538461538461539}, AUC: {'Support Vector': 0.21893491124260356}\n",
      "######## Support Vector ########\n",
      "clinical vs mcvae: 1.0\n",
      "bv vs mcvae: 0.4227\n",
      "concat vs mcvae: 0.3428\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABV8AAATGCAYAAAAxPdQvAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOzdeZxcVZ3///e5ta/d6c6+J0CHkABhR0F2lEXZdEQUEVwY3MYv47jMTx0YXEfGDceFGQd3FGQUBJQIIrIT9jUhIZA9nd73ru3e8/uj0k2adCdV1VXd1Z3X8/Hg0eYu536q6lbHvOvU5xhrrRUAAAAAAAAAoKyc8S4AAAAAAAAAACYjwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAMCk9/zzz+uzn/2sTj75ZB188ME66qijdMEFF+i73/2u2tvbx7s8SdLnP/95LVmyRA8//HDFr3XKKadoyZIlyuVye62n0P8ee+wxvf/979eSJUu0cePGij8GjK+///3vesc73qGDDz5YxxxzjB544IFRjzmW74Hx9Nhjj2nJkiX6l3/5l6LP/f73v68lS5bo85//fMWu8cZxHn300VGNUazVq1fr7rvvHtUYv/vd77RkyRJ9//vfH9w22e+vyf74AACYyPzjXQAAAJV044036pprrlE0GtXJJ5+smTNnqre3V88//7x+9KMf6Te/+Y1+/vOf68ADDxzXOk877TTNmTNH8+bNG9c6BgzUs6s//OEP2rp1q84///zd9s2ZM0fnn3++jj76aNXU1IxlqRhjHR0d+tSnPqVsNqvzzz9fyWRSDQ0N410Wyuw3v/mNrr76an3lK1/RscceOybX/Pvf/64rrrhCl19+uU4//fSyjl1tv2PLbbI/PgAAJjLCVwDApLV161Z99atf1aJFi3TjjTdqypQpQ/b/+te/1jXXXKN/+Zd/0e233y5jzDhVmv+H82mnnTZu13+j4epZtWrVYPh6zDHH7HbO3Llzx6o8jKNXXnlF/f39Oumkk/SVr3xlvMvZp4TDYUlSJBKp+LVaWloqfo03am1tled5FRm72n7Hlttkf3wAAExktB0AAExa9913n3K5nN71rnftFrxK0vve9z4tW7ZM69at07p168ahQmDiyWQykjTsewqVNTDDmJnGAAAAEwfhKwBg0spms5LyPQRH8m//9m/68Y9/rJkzZw5u21Pv0hNOOEFLliwZ/POWLVu0ZMkSXXPNNfqv//ovHXXUUTr88MP1pS99ScuXL9cpp5wia+1u49x6661DehLu2q8vl8vp+OOP14oVK9TX17fbuY8//vhufR+bmpr0jW98Q2eddZZWrFihgw8+WKeffrq+8pWvqKOjY+9PVhm88XkbeG6++tWv6tFHH9XFF1+sFStW6Nhjj9UXvvAF9fT0qKurS1dffbWOO+44HXbYYbrwwgv1yCOP7DZ2Op3W9ddfr7e//e065JBDdNRRR+nDH/6wHn/88Yo9noHXZMeOHfrmN7+pE044QYcccojOO+883XvvvZKke++9V//wD/+gQw89VCeffLK+8pWvqLe3d7exnnvuOX384x/Xscceq+XLl+ttb3ubvvvd7w57bDGv5SmnnKK3v/3tamxs1Gc+8xm96U1v0sEHH6xzzjlHv/3tb4t6vLfddpve85736LDDDtOhhx6q888/Xz//+c+H9AY+5ZRTdNlll0nKt6EopP+oJL3wwgu68sorB+/rs88+Wz/+8Y+VSqV2OzaVSum73/2uTj311MH30He+8x2l0+ndjv3LX/6iD33oQ3rTm96kZcuW6aijjtIll1wy+PoM+P3vf68lS5borrvu0v/93//pvPPO0yGHHKJjjjlGn/70p7V58+Yhxw+89tu3b9d3vvOdIbVce+21w74vd+zYoauvvlonn3yyli9fruOPP17/+q//qi1btuz1+ZGklStX6v3vf7/e9KY36ZBDDtEZZ5yhb33rW+ru7h48ZqA9ytKlSwsa840KvbdOOeUU/dd//Zck6Ytf/KKWLFky5HEUej8P9Kh99tlndcMNN+jMM8/UwQcfrOOPP17/9m//pra2tsFj3//+9+tf//VfJUk//vGPB3tJ781vf/tbnXvuuYPvwR/+8IfD9rMerifqkiVL9LGPfUxr1qzRRz7yER1++OE66qij9E//9E9qampSOp3Wt7/9bZ100klasWKFzj33XP3pT3/abWzP8/TrX/9aF1xwgVasWKHDDz9cF198se65557dji32Pbt582Z99rOf1Wmnnably5fruOOO0yc/+Um98MILe318krRu3Tp9+tOf1nHHHafly5frxBNP1Je+9CVt27ZtyHHFvkck6aabbtKFF16oo446SitWrNA555yj66+/fvADGgAAkEfbAQDApHX88cfLGKPbb79dvb29euc736ljjz1W8Xh88JgVK1aU5VorV65UKpXS+eefr46ODp144onq7OzUypUr9dRTT+mII44Ycvwf//hHGWN03nnn7TaW3+/XO97xDt1www265557dM455+x2riSdf/75kvKhzzvf+U61t7fr5JNP1imnnKLu7m7dd999+uUvf6lnnnlGt9xyS1keZylWrVqlG2+8USeccIIuuugi3XfffbrlllvU2tqqrVu3KpvN6qyzzlJbW5v+9Kc/6fLLL9edd96p+fPnS5L6+/t16aWX6plnntGyZct00UUXqa+vTytXrtQll1yir371q7rgggsqVv9HP/pRtbW16YwzzlBHR4duv/12feITn9Bll12mn/3sZzr99NN11FFH6Z577tEvf/lL9ff366tf/erg+X/605/0mc98RsFgUKeddppmzJihp556Sj/60Y/0t7/9Tb/+9a8H78lSXsvOzk5deOGFCofDOvvss5VKpXTnnXfqqquuUjqd1gc+8IE9Pj5rrb7whS/o//7v/zR16lSdeeaZCgaDeuCBB/S1r31N999/v66//nr5/X5dcskleumll3TbbbfpwAMP1GmnnbbXIPDuu+/WlVdeKWutTj31VM2ZM0erVq3Sd77zHT355JP68Y9/LJ/PN3j8l770JeVyOb3tbW9TMBjUX/7yF/34xz/Wpk2b9J3vfGfwuOuuu04/+MEPNH/+fJ111lkKh8N65ZVX9Pe//12PPfaYrr/+ep100klDavnJT36i1atX69RTT9Vxxx2nxx57THfccYeeeOIJ/elPf1IsFhty/Cc/+Ult2rRJb33rWxWLxbRy5Ur95Cc/0YYNG/SDH/xg8Lj169frkksuUWtrq0488USdddZZ2rJli2677Tbde++9+tnPfrbH5+nWW2/V5z73Oc2bN09nn322gsGgnnjiCf33f/+3Hn/8cf3mN7+RMUYzZszQyy+/vMfneyTF3FuXXHKJ/vrXv2rVqlU6+eSTtWzZMiWTSUnF3c8DvvzlL2vdunV629veppNPPll/+9vfdNNNN+mFF17QLbfcIsdxdP755yuRSOivf/2rjjzySB177LG79ZZ+o3//93/XjTfeqNmzZ+ud73ynOjs79eMf/3iw1kK8+uqres973qNDDz1U73nPe7Rq1SqtXLlS27ZtUzwe12uvvaZTTz1VmUxGt912m6688kpNnz5dRx55pKR88PrJT35S99xzjxYvXqx3vetd8jxPd999tz7+8Y/rk5/8pD7xiU8MuWah79m2tja95z3vUXd3t9761rdq9uzZ2rp1q1auXKm///3vuvnmm/fYr/zBBx/URz/6UeVyOZ144olauHChVq9erZtvvll/+ctfhr0vC32P/OAHP9B1112nhoYGXXDBBTLG6IEHHtC3v/1trV27Vt/61rcKfg0AAJj0LAAAk9jPfvYzu3TpUtvQ0GAbGhrs0qVL7fnnn2+/9rWv2Ycffti6rrvbORdffLFtaGiwGzZs2G3fW97yFtvQ0DD4582bNw+Off/99w859t5777UNDQ32qquuGrJ9x44ddunSpfZ973vf4LbPfe5ztqGhwT700EPWWmtffvll29DQYD/84Q8POTedTtujjjrKnnzyydbzPGuttddcc41taGiwt9xyy5Bj+/v77cknn2wbGhrsunXrBrcPbMtms3t66nYz8Lw8+uije9w/8Lzt+tz84he/GDyura3NHnroobahocFedNFFNp1OD+771re+ZRsaGuwPf/jDwW1f//rXbUNDg7322msHH7O11jY2NtoTTjjBLl++3G7fvr2ox1KIgdfktNNOs52dnYPbr7322sHHdd999w1ub29vtytWrLDLli0bvK+am5vtoYceat/85jfbTZs2DRn/+9//vm1oaLBXX3314LZSX8tPfOITNpPJDG5/5JFHbENDgz399NP3+jjvvPNO29DQYC+44ALb2to6uL23t9d+8IMftA0NDfZHP/rR4PaHHnrINjQ02M997nN7Hbu7u9seffTRdsWKFfbpp58e3O55nv3Yxz5mGxoa7N13322tff35Pumkk2xTU9Pgsc3Nzfawww6zBx54oG1vbx/cdtBBB9kzzzzT9vX1DbnmjTfeaBsaGuw//dM/DW77v//7P9vQ0GCXLVs2pA7XdQfv29tuu21w+0Atp556qm1paRnc3traao8++mjb0NBgGxsbB7eff/759sADD7R/+9vfhtTyyCOP2AMPPNC+/e1vH7x3H330UdvQ0GA//elPDx53wQUX2BUrVtju7u4hz9Gll15qGxoa7JNPPrm3p3qI4a5R7L113XXX2YaGBnvzzTcPbiv2fh4Y46ijjhry+zSVStm3vvWttqGhwT7xxBOD2wdep29/+9t7fYxPPPHE4H276/vz+eeftytWrLANDQ32uuuuG9z+xt+x1trB9/HXv/71wW2ZTMaecMIJg++fXV+T3/72t7ahocF+4QtfGNz2i1/8YvC53vU92NXVZc855xy7ZMkS++yzzw5uL+Y9+6tf/Wq318Baa2+99Vbb0NBgv/jFL474+Hp6euyxxx5rly1bZh944IEh59900022oaHBnnHGGYO/q4p9jxxzzDH21FNPHfIY0um0Peuss3Z7fwAAsK+j7QAAYFL7wAc+oFtuuUXnnXeeampq5LquXnzxRf3sZz/TpZdeqvPOO0/PP//8qK+TTCZ1/PHHD9n2lre8RdOmTdNdd9015Guwd955p1zXHXbW64CGhgYtW7ZMDz/88JCv5t53333q7OzUueeeO7hA2Nlnn61///d/3228cDg8OLO3tbV1dA9wFGKxmN773vcO/nnKlClavHixJOmDH/yggsHg4L6BGcIDX3F2XVe/+93vVFdXpyuvvHLIomgzZszQhz70ocEZaZXy7ne/e8hMuoEaly5dqhNPPHFwe21trfbbbz9ls1k1NTVJys9o7O/v1z/+4z/utgr5FVdcobq6Ot16662DLTJKfS0vv/xyBQKBwT8fe+yxSiQSBX3lfWC24xe/+EXV1dUNbo9Go7r66qvlOI5uuummvY4znPvvv18dHR1617veNWSWuTFGV155pT760Y9q6tSpQ865+OKLNW3atME/T506VYcddpg8zxt8PH6/X9/85jf1la98ZbfFpwYWg9v1fTPguOOOG1KH4zg69dRTJWnY5+qiiy5SfX394J/r6up0+OGHS9Lg17Cfe+45vfjiizr11FN3m2l77LHH6tRTT9XatWv1zDPPDPcUScrPPk6lUkN+Fxlj9K1vfUuPPPLI4DVHoxy/J4q9nwe8/e1v14IFCwb/HAqF9Ja3vEXS8M97IQbe85/85CeHvD+XL1+ud7/73UWN9ZGPfGTwfwcCAR166KGS8n3Bd53F+8bfT1K+7YHjOPq3f/u3Ie/BRCKhf/qnf5K1dthvHhTynh1YfOzZZ58d8pyeddZZuueee3TVVVeN+JjuvfdetbW16YILLtjt76Z3v/vdOvroo/Xqq69q1apVQ/YV+h6x1qq9vV3r168f3BYMBnXDDTfo8ccf14wZM0asDQCAfQ1tBwAAk95BBx2k//iP/5DrunrppZe0atUqPfzww3r00Uf18ssv67LLLtPvf//7wa+5l2Lu3LlDgkFpaPuABx98cDCY+eMf/6hIJKIzzjhjj2NecMEF+vKXv6w///nPet/73jd4rvR6ywFJOvzww3X44Yerp6dHL7/8sjZt2qRNmzZp9erVgz0TK7WCeCHmzZs35Gvlkga/uvrG53xgNfeB/p6vvfaaenp6NHPmTP3whz/cbeytW7dKkl588cWy1z1g0aJFQ/4cjUYl7V679Poq9AP1D4Rpzz///GB/3zce39bWpg0bNuiAAw4o+bUcCLN3lUgk1N3dLdd1d3v+d/Xiiy8qHA4PBk67mjdvnmbOnKlt27apo6NDtbW1I44znJdeekmSdNhhh+22b//999f/+3//b7ftb3y+pdcX9xrotVpbW6uzzz5bkrRhwwatX79eW7Zs0fr16/Xkk09Kygf3bzTS8yRp2D6Vwx0/EPQNhGEDr3FbW9uwr3FnZ6ek/HMx3PMgSe9973v1hS98QZdeeqkWL16s4447Tscff7yOPfbYwffEaJXj90Sx9/OAPT2PpfYHHejlfcghh+y274gjjtDPfvazgsZJJBJDAnZp5Pf4G38/9fX16ZVXXlE0GtXPf/7z3cbu6uqSNPzvp0Les2eccYZ++MMf6ne/+53+8pe/6Nhjj9Vxxx2nE044Ybfw+40G3nsDH0a80VFHHaVVq1Zp9erVOvbYY/dalzT0tXrve9+rH/7whzrvvPO0dOlSvfnNb9bxxx+vI488ckioDAAACF8BAPsQn8+ngw8+WAcffLA+9KEPacuWLfrUpz6lF154Qb/4xS/0xS9+seSxRwpIzj//fN1www26/fbbddJJJ2n9+vV66aWXdM455+zWF/GN3v72t+sb3/iGbr/9dr3vfe9TV1eX/v73v+uII44YEgr09PTo2muv1a233jq4gFFtba1WrFih+fPna82aNcMu+jVWBoKM4YRCoT2eOxBcNTY2Di4AtKfjRjJcULR06VKddtppezxPGrn+XWfsjmQgfBkIzUcyUH+pr+Vwz+PAhwF7e+17enpUU1Mjxxn+C1EzZszQtm3b1N/fX3T4OrCI00B4U4g9hY27Ppb77rtP3/72twd7oPp8Pu23335atmyZXnnllWEf93Cv2Z6ep0Ke14HX+MknnxwMfoezp4Xv3vWud2nq1Kn65S9/qccee0y//OUv9ctf/lLRaFTvec979OlPf1p+/+j+b3s5fk8Uez8P2NPzWKqBWob7PVpTU1PwOKP5/TSwGFpfX1/Rv58KubemTZum3//+97r++ut1zz33aOXKlVq5cqWk/EzZq6++etgPK3atbaS/ZwZmpr5x8bhC3yOf+tSntHDhQt188816+umn9dJLL+knP/mJamtr9ZGPfEQf/vCHh70uAAD7IsJXAMCk5Lqu3vGOd0jSsKtTS/nZql/4whd00UUX6dVXX91t/3CzwPr7+4uqY6B9wL333qv+/v5hZ66OpLa2VqeccopWrlypLVu26OGHH1Ymk9nt3M9+9rP661//qjPOOEPvec971NDQMDiT68orr9SaNWuKqrmaDMyQfctb3qKf/OQnJY8zXDBy/vnnFxS+jsZA/TfffPOwM0vfaDxey3g8rvb2dmUymWGDl4HgqNjgVXo92BoIgt6or69vj+HXSJ5//nl97GMfUyKR0Je//GUddthhWrBggYLBoNavX1/RNhRvNPAaf/rTn9bll19e8jgnnXSSTjrpJPX39+upp57SAw88oFtvvVU33HCDksmkPvrRj46qznLcW8Xez5U0cD92dXXt1rrijYFipQw8H4sXL9af//znilxj1qxZuvrqq3XVVVdp7dq1euSRR3THHXfo0Ucf1RVXXKG77rpr2CB7IHQdaIHyRqN5Xw8499xzde6556q7u1uPP/64/v73v+uPf/yjrr32Wk2fPn23xSIBANhX0fMVADAp+Xw+WWu1fv36PfZaHPhH66796QYCqN7e3iHHtrW1jRgi7ckFF1ygvr4+Pfjgg7rjjjs0a9asIV/z3JOBoPWee+7RHXfcoXA4rDPPPHNwf1dXl+69914tXLhQ3/ve9/SmN71pyFdoX3nlFUl7n/1YrRYvXqxwOKw1a9YM+/Xkxx9/XP/5n/+phx9+eI/jvPzyy7v9941vfKNSZQ8aWEn82WefHXb/t7/9bV1//fXq6+sbt9fyoIMOkud5w87a3LFjhzZs2KB58+bt1lu1EAMrsT/33HO77Vu7dq0OO+ww/X//3/9X9Li33367XNfVl770Jb373e/WAQccMPi+Het7/qCDDpI0/GOUpN/97ne67rrrhv2AR8rPSP3BD36gn/70p5LyX90/7rjj9PnPf35wxvbjjz8+qhpLubeGC/SKuZ9LUcxs2IMPPliS9MQTT+y2b6TXotzi8bjmzZunzZs3D9tjeN26dfqP//gP3XXXXSWN/6c//UlXXXWVuru7ZYzRkiVLdOmll+qmm27SwoULtWHDhhHD1YH78o09XQcMtJpYsmRJ0XXt2LFD3/ve9/T73/9eUn5m+ymnnKJ///d/H+xDO9p7FgCAyYTwFQAwaX3wgx+UJP3zP//zYH/AXXV1dek///M/JeW/9jtgoOfd3/72tyHH/+AHPygp0Hn729+uQCCgH/3oR9qyZYvOPffcEb/i/UYDi3b94Q9/0BNPPKHTTjttyNdIA4GAHMdRV1eXenp6hpz73//931q7dq0kDVnwayIJBoM655xz1NzcrGuvvXbIbOT29nZ96Utf0v/8z/8M9mCsNueee64CgYB+8IMf7Ba+/epXv9L111+vlStXKhqNjttr+c53vlOS9I1vfGNIgNTf36+rrrpKnucVNFN7OKeffrri8bh+97vfDXkPWmv1ox/9SJJ2WwyoEAOtCbZt2zZk+/bt2/Xtb39b0tjd84cffrgWL16su+++e7eQ7fnnn9eXv/zlwa9jDycajeqmm27Sddddp9dee23IvoFFvebOnTuqGku5twbaHOz6oUcx93MpBq75xgW7hvPOd75TjuPouuuuU3Nz8+D2V199VTfeeGNJ1y/Fu971LmWzWV199dVDnqtUKqWrrrpKN9xwg1paWkoae82aNfrtb3+rX/3qV0O2d3V1qaOjQ7FYbLAf8hudeuqpqq2t1R133KH7779/yL5bb71VDz74oBYsWFDSYm6xWEz/+7//q+985zu7hc4D9+zeetICALAvoe0AAGDS+od/+AetX79eP/3pT3XBBRfoiCOO0EEHHaRwOKwtW7bo/vvvV29vrz7zmc8MrmItSRdeeKF+85vf6Ic//KFeeeUVzZ07V48//rg2btyohoaGwaCiULu2D5C022rje7Lrol3S7u0KIpGIzjzzTN1xxx264IILdPLJJ0vKz3Z66aWXNHXqVLW0tKi9vb2omqvJZz7zGT3zzDP6xS9+occee0xHH320crmc/vKXv6i1tVXvete7dltlvlrMnTtXV111lf7t3/5N5513nk477TTNmjVLq1ev1kMPPaSamhp97WtfkzR+r+Xb3/72wa+4v+Md79BJJ52kYDCoBx54QJs3b9Zxxx1X8tfpE4mEvvKVr+hf/uVfdOGFF+q0007TjBkz9Oijj+qll17S2972Np111llFj3v22Wfrpz/9qb773e/qxRdf1Pz587Vt2zbde++98vv9CgQCe+yxWk6O4+jaa6/VZZddpk996lM67rjjtGTJEjU1Nekvf/mLstmsvv71r6uurm7E8z/3uc/pn//5n3XBBRfobW97m6ZNm6aNGzfqr3/9q+rq6vSRj3xkVDWWcm/NmjVLkvTzn/9c27dv1/vf//6i7udSDFzzj3/8o4wxOvfcc9XQ0DDssUuXLtUnPvEJXXfddTrvvPN06qmnKpvNauXKlZo6deqYvf4f+tCH9Oijj2rlypVavXq1jjvuOPn9ft17773aunWrTjjhBL373e8uaewPfOADuuOOO/Td735Xjz32mA466CD19/fr7rvvVkdHh770pS+N2Hs6Fovpm9/8pj7xiU/oH//xH3XiiSdq0aJFWrNmjR5++GHV1tbq29/+dsEfBO4qHo/rk5/8pP7zP/9TZ599tk4//XQlk0m9/PLLeuCBB7RgwQJdeOGFJT1mAAAmI8JXAMCk9vnPf15vfetbdcstt+jJJ5/ULbfcokwmo2nTpumUU07RxRdfvNtq2fvvv79uuOEGff/739ff//53BQIBHXPMMfrmN7+pb37zm0WHr1I+NF25cqVWrFgx4gIpezr3hhtu0IwZM/TmN795t/1f/vKXNXfuXP3pT3/Sb37zG9XW1mrBggW69tprNXv2bL3vfe/TfffdV1ToW02SyaR++9vf6qc//an+/Oc/66abblI0GtWiRYv02c9+Vuecc86oF++ppH/4h3/QokWL9L//+7966KGH1NfXp5kzZ+rd7363Lr/88iEzxMbrtfzGN76ho48+WjfffLPuvPNOGWO033776bLLLtNFF11UUkAz4Mwzz9SsWbP04x//WA8++KD6+vo0Z84c/fM///Pg7PRiLVmyRD/96U913XXX6dFHH9X999+vWbNm6ZxzztFHP/pRff7zn9cjjzyi9evXa7/99iu59kItX75cf/jDH3T99dfrgQce0KpVqzRlyhQdd9xx+vCHP6wjjzxyj+efffbZqq2t1Q033KCHHnpI7e3tqq+v1/nnn6+Pfexjmj179qhrLPbeOvPMM/XAAw/or3/9q37961/rmGOO0YwZM4q6n4t15JFH6gMf+ID+8Ic/6Fe/+pUWLlw4YvgqSR//+Me1aNEi/fSnP9Uf//hHxeNxXXjhhTr66KN1xRVXlFxHMQKBgP7nf/5Hv/71r/XHP/5Rf/jDH+T3+7VgwQJddtlluvDCCwtanG849fX1uvHGG/Xf//3feuihh/T0008rGAxq2bJluuaaa3TKKafs8fwTTzxRv/vd73T99dfrscce04MPPqjp06frfe97ny6//HLNnDmzpLok6SMf+YjmzJmjX//617rnnnvU1dWlmTNn6gMf+ICuuOKKohY9AwBgsjN2ojaBAwAAAAAAAIAqRs9XAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlcAAAAAAAAAqADCVwAAAAAAAACoAMJXAAAAAAAAAKgAwlfsE6y1410CAAAAAAAA9jH+8S4AqBRrrV5plFZvs7JWapglHThbMsaMd2kAAAAAAADYBxC+YtJ6eZv0/GarWbWSMdILm61yrnTwfMJXAAAAAAAAVB7hKyaljl6r5zdbza+XFk3Ph62hgNWabdLMWqtpSQJYAAAAAAAAVBY9XzEpPbfJKhqUFk57fdu8OikZkZ7daOkBCwAAAAAAgIojfMWk095jtaNTWjBtaH9XY4wWTpPae6XGjvGrDwAAAAAAAPsGwldMOut3WIX80rTE7vtqo1IiLL3SyMxXAAAAAAAAVBbhKyaVnGu1qVU7F9nava+rMUazaqXGTqkvTQALAAAAAACAyiF8xaSyvV1yPWl6zcjHTK+RfI60sWXs6gIAAAAAAMC+h/AVk8rmVqtERIoEd5/1OsDnGNXF88cCAAAAAAAAlUL4iknD9awaO6Wp8b0fOy0hdfZJPSkCWAAAAAAAAFQG4SsmjeaufMuB+mEW2nqjurjkGGlbe+XrAgAAAAAAwL6J8BWTRmOHVSggRYN7P9bnGNXGpO3tzHwFAAAAAABAZRC+YtJo7JDqYpIxI/d73VVdTGrulrIuASwAAAAAAADKj/AVk0IqY9WdkmqjhZ9TF5eszbcrAAAAAAAAAMqN8BWTwkCAWlNE+BoO5P9r6mTmKwAAAAAAAMqP8BWTQlOXVTQohQKFtRyQ8u0JaqNSU2cFCwMAAAAAAMA+i/AVk0JLt5QsYtbrgNqY1NkvpbPMfgUAAAAAAEB5Eb5iwsvmrLr6pZpI8ecOtClo6S5vTQAAAAAAAADhKya81p78z2QJ4Ws4YBQOSC3dzHwFAAAAAABAeRG+YsJr7bYK+KRIsLTzkxGppau8NQEAAAAAAACEr5jw2nqkRCS/gFYpaqJSe6+Uc5n9CgAAAAAAgPIhfMWEZq1VW6+UCJc+RjIiWUkdvWUrCwAAAAAAACB8xcTWl5EyudGFr7GQ5HNe7x0LAAAAAAAAlAPhKya09p2BaaKExbYGGGOUCOd7xwIAAAAAAADlQviKCa291yrkl4L+0vq9DkhEmPkKAAAAAACA8iJ8xYTW3ivFR9FyYEAiLKWyUn+G2a8AAAAAAAAoD8JXTGgdvVKsHOHrzrYFbcx+BQAAAAAAQJkQvmLC6s9YpXNSIjT6sUJ+KejLtzEAAAAAAAAAyoHwFRNWR2/+ZzlmvhpjFI8w8xUAAAAAAADlQ/iKCaujT/I5UjhQnvES4XwPWWuZ/QoAAAAAAIDRI3zFhGStVUdXWjF/VvLcsowZD0uZnNSfKctwAAAAAAAA2McRvmLC8Xo7lXnsdnW09SrSu03ZZ++V27Rx1OMmdrYvaO8d9VAAAAAAAAAA4SsmFq+nXZlH/6hcOqVeX63itUk5iTq5G1+Uu3XdqMYO+qWAT+pg0S0AAAAAAACUAeErJgybyyjz1F9kAiGlFr9FVkaxqE/OzEVyps6Vu22dvI6mksc3xgz2fQUAAAAAAABGi/AVE0Z2zWNSul++A45Ql5vvERAL5Pu9mvo5MvFa5TY+L+vmSr5GLCx1EL4CAAAAAACgDAhfMSF4nc3ytq6VM+9AmVBUXWm/Qj5XfiffIsAYyZmxSMpl5TauL/k68bDUn5XSWVoPAAAAAAAAYHQIXzEhZF9eJRNJyJk2X5LUlfEr6neHHGMCQTm1M+Tt2CCby5R0nXgo/7Ojb1TlAgAAAAAAAISvqH5ee6Nse6OcOQfIGCNJ6kr7FA24ux1r6mZJ1srbsbGka0WCkmNoPQAAAAAAAIDRI3xF1cu9+qxMJCFTOyP/Z0/qy/mHD1/9ATnJqXKbN8na4lsHGGMUD0sdfbQdAAAAAAAAwOgQvqKqeb2d8lq2yJm5aHDWa3fGL+n1xbbeyNTOlLJp2fbGkq4ZCzHzFQAAAAAAAKNH+Iqq5m5eLfmD+XYCOw2ErxH/COFrOCITictr2VrSNeNhqbtfcj1mvwIAAAAAAKB0hK+oWtZz5W5dJ2fqHBnHN7i9K+NXyOfKv4e71ySnyutqls2mi75uLCRZ5QNYAAAAAAAAoFSEr6haXtNGKZeRM3XekO3daZ8ifm+P55pkfX6MEloPxEL5nx19RZ8KAAAAAAAADCJ8RdVyt74iE6uVicSHbO/KDL/Y1q6Mzy8Tq5HXtr3o6/p9RpGA1NFL2wEAAAAAAACUjvAVVclmUvJat8jUzx6y3fWkvqxP0RH6ve7KxOtku9tKaz0QljqZ+QoAAAAAAIBRIHxFVXIbX5Os5Oyy0JYk9WZ9sjKK7GXmqySZeK0kyetoKvr6sRDhKwAAAAAAAEaH8BVVyW18VSZZLxMIDdnenfFLUmEzX/0BmUhCtmNH0dePhaR0TkplaT0AAAAAAACA0hC+ourYdL9s+w45dTN329ed8cnveAo4hYWiJl4rr6tF1tt7WLurgUW3mP0KAAAAAACAUhG+ouq4TRslWZnaGbvt68n4FfW7MqawsUxsiuR5st1tRdUQCUqOIXwFAAAAAABA6QhfUXW8po0yibrdWg5IUlfGr4jfK3ywUEQKBOV1thRVgzFmZ99X2g4AAAAAAACgNISvqCo2l5HXum3YWa/WSj0ZX0GLbQ0wRjLRGtmu5qJribLoFgAAAAAAAEaB8BVVxWvZKllPzpTdw9eU6yhnnYIW29qVidXI9vfIZlJFnRcLSV39krXMfgUAAAAAAEDxCF9RVbzmzTKRhEwoutu+noxPkhQpNnyNJiVJtru1qPNiIcn1pJ7iMlsAAAAAAABAEuErqoi1Vm7zZpmaacPu7874ZWQVLqbnqyTjD8iEovK6igtf4+H8z87+ok4DAAAAAAAAJBG+oorYrhYpm5KpnT7s/p6sT2G/J8cUP7aJJuV1FbfoVsCX/6+Lvq8AAAAAAAAoAeErqobXvEXy+WVitcPu7077i245MCiakDIp2UzhSaoxRrGQ1NlHz1cAAAAAAAAUj/AVVcNt2SyTnCrjDH9b9mR9JYevg31fu9qKOi8fvpZ0SQAAAAAAAOzjCF9RFWwmLdvZImeEfq+elfqyPkWK7Pc6wPj8+b6v3cWFr9FQfsEt12P2KwAAAAAAAIpD+Iqq4LVtk2RlklOH3d+b9cnKlN52QJKJJmR7ip/5aiV1segWAAAAAAAAikT4iqrgtWyRwnGZUGTY/T0ZnyQpEig9fFUkIZvqk82mCz4lFsr/ZNEtAAAAAAAAFIvwFePOWiu3ZaucmuFnvUpST8Yvn7EKOqV//d9EEvnrFdF6wO8zCgdYdAsAAAAAAADFI3zFuLN9XVK6d8SWA5LUvXOxLWNKv44JBKVgSF5Pe1HnsegWAAAAAAAASkH4inHntW6VjJFJ1I14TE/Gr/Ao+r0OMOG4bJHha5TwFQAAAAAAACUgfMW481q3ycSnyPj8Ix7Tk/Ep4vdGfS0Ticv2dcl6hQe5sZDUn5UyOVoPAAAAAAAAoHCErxhX1nry2rbLJOpHPCbnGaXcfNuB0TKRhGSt1NdZ8DksugUAAAAAAIBSEL5iXNmuVimXkUmOHL72ZHySVJbwVaGo5DjyejoKPiUakoxoPQAAAAAAAIDiEL5iXHmt2yTHJxOrHfGYnuzO8DVQhrYDxhTd99UxJt/3tZ+2AwAAAAAAACgc4SvGldu2TSZRJ+OMfCv2ZPzyO54CTnnCTxOJy+vpkFXh47HoFgAAAAAAAIpF+IpxYz1Xtn3HHvu9SvmZr+VYbGtQOC5l01ImVfApsZ3hq7XMfgUAAAAAAEBhCF8xbmxns+S5cvbQ71XK93wtS7/XnUwknr9+EX1fYyEp60r9mbKVAQAAAAAAgEmO8BXjxmvdJvkCUjS5x+O6M/7yhq/+gBQMFbXoViyU/0nrAQAAAAAAABSK8BXjxm3bnu/3asyIx2Rco6znlLftgJRfdKu3o+DjwwHJ50id/WUtAwAAAAAAAJMY4SvGhXVzsh1NMom6PR7Xk/FJUllnvkqSCcdk+zoL7uFqjNnZ95WerwAAAAAAACgM4SvGhdfRJFlv7/1es35JUrjM4avCccnzpP6ugk8ZWHQLAAAAAAAAKAThK8aF17Zd8gelSGKPx/VkfAo6nvxlvlNNOCbJyOvtLPicWEjq6pc8j9mvAAAAAAAA2DvCV4wLr4B+r5LUk/UpHCjzrFdJxnFkwhHZIhfdslbqTpW9HAAAAAAAAExChK8Yc9bNyXY277XfqyT1ZPyK+Mq72NagcFy2mJmv4fxPWg8AAAAAAACgEISvGHOD/V4Te+73am1+5mu5F9saYMIx2f4eWTdX0PEBn1HIz6JbAAAAAAAAKAzhK8bc6/1e43s8Lu0a5TxHkQq0HZAkE45LssUtuhWWOpj5CgAAAAAAgAIQvmLMFdrvtTfrlyRF/BVqOxCKSI4jr8i+r529lSkHAAAAAAAAkwvhK8ZUMf1euzM+SVLYV6GZr8bIhGJF9X2Nh6T+rJTJ0XoAAAAAAAAAe0b4ijH1er/XAhbbyvoV8rnyVfAuNeGYvBIW3epg9isAAAAAAAD2gvAVY+r1fq+JvR7bm/FVruXAgEhMSvfJ5rIFHR4NSo6ROun7CgAAAAAAgL0gfMWYyvd7nbLXfq9Svu1A2F+ZlgMDTDgmSbK9HYUdb4yiIamjj7YDAAAAAAAA2DPCV4yZ1/u91u/9WJtfcKviM18DEcnnk+0rru8rbQcAAAAAAACwN4SvGDPF9HtN5Ry51ihS6ZmvJj/7tdCZr1K+72tXv+R5zH4FAAAAAADAyAhfMWa89kbJHyio32tP1idJFQ9fJcmEilt0Kx6WPCt1pypYFAAAAAAAACY8wleMGa9tm0y8rqB+rz0ZvySrcKXbDkhSOC5l0rLZdEGHx0P5n7QeAAAAAAAAwJ4QvmJMWDcn29Esk9x7v1cpP/M17Pfk7D2nHTUTiUsqfNEtv88oHGDRLQAAAAAAAOwZ4SvGRDH9XiWpO+Mbk5YDkiR/UPIHim490M7MVwAAAAAAAOwB4SvGRDH9XqV824HIWLQc0C6LbvV0FHxOLJRvO2Ats18BAAAAAAAwPMJXjIli+r16VurNjuHMV0kmHJft7ZBVYWFqIixlXakvU+HCAAAAAAAAMGERvqLiBvu9FthyoD/rk5UZ0/BV4Zjk5qR0f0GHx8P5nyy6BQAAAAAAgJEQvqLiBvu9FrjYVnfWJ0lj1nZAyrcdkCRbYN/XoF8K+KSOXtoOAAAAAAAAYHiEr6g4r217flGrgvu9+uTIKuQbw/DVH5CCIXkF9n01xigeltqY+QoAAAAAAIAREL6i4ry27TKJKQX1e5V2LrYVcFXg4WXjhGKyvR0FH58I03YAAAAAAAAAIyN8RUVZNyfb2SyTKKzlgCR1Z3wKj2HLgUHhuGxfp6wtrJVAPCylslJ/htYDAAAAAAAA2B3hKyrKa99RVL9XSerJ+sd2sa0BkbjkeVKqp6DDEzsX3Wpn9isAAAAAAACGQfiKivLatkuBoBSOF3R8zpP6cz5FxyF8NeGoJBXc9zUUyC+61d7DzFcAAAAAAADsjvAVFeW1bZMTry+832vWL0mKjEPbAeP4ZMJR2Z72wo5n0S0AAAAAAADsAeErKsbmMrJdLVIxLQcyPkkan7YDkhSKy/Z2Fnx4Iiy196jgPrEAAAAAAADYdxC+omLy/V5tUf1euzN+BRxPAd/4hJkmEpft75F1cwUdn4hI6ZzUn6lwYQAAAAAAAJhwCF9RMV7bNikYlkLRgs/pyfjGb9arJBOOS7KyfYXNfh1YdIvWAwAAAAAAAHgjwldUjNe6TSZReL9XKT/zdTz6vQ4KRSTHJ1vwoltGIb/U1k3bAQAAAAAAAAxF+IqKsJmUbHdbUS0HrJW6x3vmq5FMJCbbW9iiW1K+9UBrTwWLAgAAAAAAwIRE+IqK8Nq2S5JMEeFrynXkWkeRwPiFr1K+9YDX0yGrwmazJiJSey+LbgEAAAAAAGAowldUhNe2TQrHZIKRgs/pyfgkSdFxnPkqSYrEpWxGSvcXdHgyLLme1NlX4boAAAAAAAAwoRC+oiK81m1FtRyQ8v1ejazC49nzVQOLbkm2t6Og4xM78+U2Wg8AAAAAAABgF4SvKDvb3y3b1yWTmFrUefnFtlw5ha/PVRHGH5CCYXk9hfV99TlG8bDU2kPbAQAAAAAAALyO8BVl57YW3+9VGlhsa3xnvQ4w4bhsd+GLbiUjUkt3BQsCAAAAAADAhEP4irLzWrfIxGryM0iL0J3xj/tiWwNMNJGfwevmCjo+GZF6UlI6y+xXAAAAAAAA5BG+oqystfJat8kki2s5kPOk/pxv/Bfb2slEEpK1sr2dBR2f3Nn3tZW+rwAAAAAAANiJ8BVlZbvbpGy66PC1O+OXJEWrZOarghHJ588/ngKEA1LQL7V0M/MVAAAAAAAAeYSvKCuvdavk+GTitUWdNxC+Rqpl5quRTCQur6ew8NUYo5oofV8BAAAAAADwOsJXlJXbslUmUSfj+Io6rzvjU8jnyl9Fd6SJJGV72mVtYbNZayJSe4/kesx+BQAAAAAAAOErysi6OdmOxqJbDkhSV9qviN+rQFWjEE1InicV2Pe1Jip5Vmqj7ysAAAAAAABE+Ioy8toaJc+TUzOt6HO7M/7q6fe6kwnFJMcpuPVALCT5Ham5q8KFAQAAAAAAYEIgfEXZeK1b8gtVhWNFned6Um/Wp2iV9HsdYBwjE0nIdrUWdvzOvq/NXbQdAAAAAAAAAOEryshr3iKTnCpjTFHn9WT9sjJVN/NVkkwkIa+Yvq9RqZW+rwAAAAAAABDhK8rE9nfL9nXKqSml32t+ca5qDF8Vq5HcXMF9X2uj+Zm89H0FAAAAAAAA4SvKwm3ZIsmUtNhWd8avoOMp4FTfbNF831efvO7CWg/Ew5LfJzXR9xUAAAAAAGCfR/iKsvCat8jEa2X8gaLP7arCxbYGGMfIRBPyuloKO94Y1Ualps7qC5IBAAAAAAAwtghfMWrWc+W1bZOpmVbS+V3p6g1fJclEa2R72mS9wmqs3dn3NesSwAIAAAAAAOzLCF8xal77DsnNyamdXvS5rif1ZH2K+qs4fI3VSJ6V7W4r6PgpcclaqZnWAwAAAAAAAPs0wleMmte8WQqEpUii6HO7M35JRrEqnvmqYEQKBOV1Nhd0eCQghQPSDloPAAAAAAAA7NMIXzFqXvMmmZppMsYUfW5Xxi9JigZy5S6rbIyRTLRWtsDw1RijKTGpsaOydQEAAAAAAKC6Eb5iVLzeLtm+Ljm1pfd7Dflc+av8TjSxGtlUr2y6r6Dj6+JST0rqSTH7FQAAAAAAYF9V5ZEXqp3Xskkyjkxyaknnd1b5YlsDTLxGMkZeR1NBx9dG8zNmmf0KAAAAAACw7yJ8xai4TZtkkvUyPn9J53dm/NXd73Un4/hkokl5HTsKOt7vM6qJStvamfkKAAAAAACwryJ8RclsNiPb3ihTU1rLgYxrlMr5JkT4KkkmXivb3SbrZgs6vj4uNXdJWZcAFgAAAAAAYF9E+IqSeS1bJGvl1M4o6fzOdH62bKyKF9valYnXSdbKthc2+7U+LnlW2tFR2boAAAAAAABQnQhfUTK3eZNMNCkTipR0fmfaLyOrqN8rc2WVYQJBmUhcXntjQcdHgkaxkLSV1gMAAAAAAAD7JMJXlMR6nrzmTTK100seozMdUCzgypgyFlZhJlEvr7O54NYDUxPStnbJ8whgAQAAAAAA9jWEryiJ175dymVLbjkg5We+TpR+rwNMIt96wGsrbPbr1ISUc6WmrgoXBgAAAAAAgKpD+IqSeDs2SsGIFE2Wdr6VujL+CdPvdYAJBGViSXmtWws6PhaSIkFpcyszXwEAAAAAAPY1hK8omrVWbtNGObXTZUrsGdCd8cmzRvHgxJr5KkmmZppsd5tsqm/vxxqjaQlpa5vk0noAAAAAAABgn0L4iqLZzmYp3SczZWbJY3SmA5I04doOSJKJ10k+n9yWTQUdPz0pZV1pR0dl6wIAAAAAAEB1IXxF0dwdGyR/MN//tEQdKb/CPld+Z+LNBjWOIyc5TV7zZllv7+FxLGwUC0kbWybeYwUAAAAAAEDpCF9RFGut3B2vydTOKLnlgCS1pwMTsuXAADNlhpTLymvdXtDxM2qkbe1SNkcACwAAAAAAsK8gfEVRbHer1N8jp670lgPWSp0pv+ITbLGtXZlgWCZeK2/HelntPVCdnswvMra5dQyKAwAAAAAAQFUgfEVR3MYNki8gk6gveYyerE856ygenLjhqySZ+jmy/b2ybY17PTYUMKqLS682MfMVAAAAAABgX0H4ioJZa+U2viozZYaMU/qt05HKL7YVn4CLbe3KicRl4rVyt7wsa/ceqs6skdp7pc4+AlgAAAAAAIB9AeErCpZvOdAtp27WqMZp37nYVsA38UNIZ+o82XSfvB2v7fXY+oQU9Evrd0z8xw0AAAAAAIC9I3xFwdztr0r+4KhaDkhSeyow4VsODDDhqJwpM+VuXSub7tvjsY4xmlkjbWyWsi4BLAAAAAAAwGRH+IqCDLQccKbMHFXLAc9KHemAEsGJ3XJgV2baXMkfUG7907LW2+Oxs6dIrpcPYAEAAAAAADC5Eb6iILajSUr1ytTPHtU43Rm/XGuUmCQzXyXJOD45s/aX7euS++qzshp5VmsoYDQ1Ka3dbgvqEwsAAAAAAICJi/AVBXG3vyIFwzLxKaMapy0VkGQVD0ye8FXKL77lzNpfXtt2ueufkfVGntk7t07qTUvb2sewQAAAAAAAAIw5wlfslfVcuY2vyambLWPMqMZq6w8oFnDlm4R3npOskzP7AHkdjcq99JC8rpZhZ8EmI0Y1UWn1Vma/AgAAAAAATGb+8S4A1c9r2Spl03JG2XJAklr7A5Oq5cAbOck6meByeTteU+7lVTKRmEzNdDmRhBQIyfgCkuNoXiKgF3aEtaPTambt6AJtAAAAAAAAVCfCV+yVu22dTDQpE02OapyMa9ST9Wt2PFWmyqqTCUflzF8m29cp29kir3WbvGx6yDFxSfHIm/TCCxnVmoflq5st38xFMrXTRz27GAAAAAAAANWB8BV7ZLNpeU2b5MxtGPVY+X6vUnISz3wdYIxkYjVSrEaSZD1PcrOS68paT7JW81P9eqlvlpp98zVt+8tyN70ok5wqf8NR8pVhljEAAAAAAADGF+Er9sjd/qpkrZz6OaMeq7U/oIDjKez3ylDZxGIcR3JCUkAamNdaF5GSuaxWm4M185DZUneLvK3rlH3iz/LmLpH/wGNlfLxFAQAAAAAAJqpJuOwRysndulamZppMIDTqsVr7g0qGcuJb9XnGSItq+tWZDmhzT0ROzTT5lr5JzoLlcretU+axO2TT/eNdJgAAAAAAAEpE+IoRed1tsl0tcqbOHfVYrpdvO1ATzJahsskjGcppaiStF5rjynpGxhj5ps+X/8A3yaZ6lHnsdtlU73iXCQAAAAAAgBIQvmJE7pa1UiAoUzt91GN1pAPyrFEyNPn7vRZrUU2/sp6jl1tjg9tMrCYfwLpZZZ74s2xmci9SBgAAAAAAMBkRvmJY1s3J3bZOTv3cfL/SUWruC8pnPMUDbhmqm1zCfk/zEv1a1x5VZ/r1Hq8mHJV/ydGy6X5lnr5H1uO5AwAAAAAAmEgIXzEsb8cGKZeRM21eWcZr7guohn6vI5qbSCni9/RkY1KefX27Ccfl2/8I2c5m5dY8On4FAgAAAAAAoGiErxhWbvMamWS9TDi294P3wrNSayqoGloOjMgx0gFTetSR9mtde3TovsQU+eYfJHfzGrnb1o9ThQAAAAAAACgW4St243W3yXbskDNtflnGa+3P93utDbHY1p4kQ67mJlJ6qSWu9pR/yD4zbZ6cutnKvvSQvL6ucaoQAAAAAAAAxSB8xW7cTaulQEimdkZZxmvqCyrgeIrR73WvFiT7FQu4WrW9Rln39R4Nxhg5C5dJfr+yz98va71xrBIAAAAAAACFIHzFEDabzi+0NW1+WRbakqSm3pBqQln6vRbAMdKB9T1K5xw93piU3bX/qy8g36JDZTt2yN344vgVCQAAAAAAgIIQvmIId+tayVo508vTciDtGrWn/ZoSpuVAoSJ+T0vqetXYG9KLrfEh+5xEnZzpC5Vb9yTtBwAAAAAAAKoc4SsGWc9TbuOLcupmyQRCZRmzqTckyRC+FqkuktWimn6tbYvp1Y7IkH3O3AbJH1T2xYdkd50aCwAAAAAAgKpC+IpB3o4NUqpXzsxFZRtzR29Q8UBOIR8hYbHmxFOaHU/pmaaENnWFB7cbn1++hctl27bJ275+HCsEAAAAAADAnhC+QpJkrVXutedkkvUy0WRZxvSs1NgbYtZriYyRFtf0aUY0oycak9rQ+XoA69RMkzNllrJrHpPNpsexSgAAAAAAAIyE8BWSJK9tm2x3q5yZi8s2Zlt/QBnPUV04U7Yx9zXGSAdM6dXMWFpP7ajR6tbY4CJczvylkpdTbt2T41skAAAAAAAAhkX4CklSbv0zMtEameTUso25rTekoM9TIuiWbcx9kTHS/rV9WpDs0+rWuB7ZVqu0a2SCYTmzD5C7ebW8zpbxLhMAAAAAAABvQPgKee07ZNsb5czaT8aYsoxprbStO6y6cEZlGnKfZow0P5nSQfXdaukP6O4N9drUFZaZvkAmklB29cMsvgUAAAAAAFBlCF+h7PqnZSIJmSkzyjZme9qvvpxP0yK0HCin+khWR8zoVDKY0xONNfrb5qnaOv1NynW2yd26drzLAwAAAAAAwC78410AxpfXvkO2dat8+x1WtlmvkrS1O6yA46kmlCvbmMgL+qyW1veqM53Wpq6InuyYI3/NezVtw1bNUFY1Cb+iISnol3xOfhaytZLr5RdB86xklN8X9EuOw9RkAAAAAACASiB83YdZa5Vd+7hMNCkzZWYZx5U2d4U1NULLgUqqCeV08LRu9WUdNfX41d5Vo8YtRlbFtR8IB6ySEWlqQppZa1QXV1mDeAAAAAAAgH0V4es+zGvZItuxQ74Djixr2NbcF1TK9Wl6tKdsY2Jk0YCnhVMymm8blWt6VO4BxykTSCjn5me5SpJj8n1jB35K+ZmwWVdKZaXelLS2UXppq1UsJO03Q1o8Qwr4CGEBAAAAAABKRfi6j7Kep9zLq2QSdTI108o69sausCJ+V4mgW9ZxsWdmygz5uprl2/qcosuOk1Fxwam1Vh190o5O6flNVmu2Scvm5kNYh5mwAAAAAAAARWPBrX2Uu3WtbG+HnLkHlnXWa8Y12toT1oxompYDY8wYIzNjkWxfl7wdG0s6f0rM6MDZRkfvL9XFpKc3WP31eauO3uJaGQAAAAAAAIDwdZ9kM2nl1j0hp36OnHhtWcfe1BWWtdKMWLqs46IwTiQup3a63K0vy2ZSJY8TDhgtmW102MJ8a4K/vmC1bruVtYSwAAAAAAAAhSJ83QflXnlC8lw58w4s67jWSus7opoaySjoI6QbL2bafMk4cje+UPTiW2+UjBgdvlCaVSs9s9Hq0XVWOZfXFgAAAAAAoBCEr/sYr32H3M1r5MxpkAmEyjp2Y29QvVm/ZseZ9TqejM8nZ8ZCeR1Nsq3bRz2e4xjtP9PooDnS9g7p3het+tIEsAAAAAAAAHtD+LoPsW5O2RcfkInVyJm+oOzjr22LKRHMKRHMlX1sFMdJ1MlJ1iu38QXZbHnC8GlJoxULpFQ234aAPrAAAAAAAAB7Rvi6D8m98pRsX7d8Cw8p6yJbktTSF1BrKqh5iX4W2qoSZvpCyRi5rz036vYDA+LhfBuCgE/624tWOzoJYAEAAAAAAEZC+LqPcNu2y93wvJw5B8hEE2Ud21rpxZa44oGc6sLZso6N0hm/X87MxfI6m+Xt2Fi2cYN+o0MXSImI9MAaq80tBLAAAAAAAADDIXzdB9h0v7LP/k0mUSdn5uKyj9/YG1RrKqgFSWa9VhsnXitnygy5m1fL9nWWbVyfY7R8njQtKT36itUrjQSwAAAAAAAAb0T4OslZz1Pm2Xsl68q3eEXZ2w14VnquOaHaUFZTmPValcy0+TKhqLKvPCWbK99r5BijA2dJc+qkpzdYvbDZk7WEsAAAAAAAAAMIXycxa61yax6R7dgh336HywTDZb/Gy20x9WV9Wlzbx6zXKmUcR86cA6RcVrn1T5U1IDXGaL/p0qJp0uqt0hOvWnkeASwAAAAAAIBE+DqpuRuel7t5jXwLlstJ1JV9/M60Xy+3xjQnkVIs4JZ9fJSPCYTkzD5AtrtN7sYXyrYAl5QPYOdPNVoyS9rYLD34slU2RwALAAAAAABA+DpJ5TavVm7t43Jm7S9n2rzyj+9Jj29PKhJwtSDZX/bxUX5OLCln5iJ5zZvlbl1X9vFn1hodPF9q6ZbufdGqN0UACwAAAAAA9m2Er5NQbuOLyr30sJzpC/NfNy8za6WndiTVk/VrSV2vHNoNTBhOzTQ50+bL2/aK3K3ryjoDVpKmxIwOWyhlctI9L1jt6CSABQAAAAAA+y5jWSFn0rDWKrfuCbmvPSdnxiI58w4s+wJbkvRiS0wvt8V1YF2PpkUzZR8flee1bJXXskXOjIXyzV8qo/LeJ1nXavVWqb1XOmiOtHSukUNTYAAAAAAAsI8hfJ0kbCal7PP3y2vZLGfegXJmLCp78GqttKYtptWtcS2q6dPcRKqs42Nsee2N8nZslFM7Xb7FK2R8/rKOb63VxhZpY4tUF5eO3s8oESGABQAAAAAA+w7C10nAbd6s7IsPSG5OvkWHyqmdXvZreFZ6pimhDZ1RLUz2aV6S4HUy8Hra5W1fL/lDCixeIROvLfs1OvusXt4upbPS0jlGS2ZLPnpVAAAAAACAfQDh6wTm9XYqt/ZxeU0bZZJT5Vt0sEwwUvbrdKV9eqKxRp1pv/af0quZMVoNTCY2k5K3fb1sf6+cGfPlm9Mg4wuU9Rqul58Fu6VNCgekZXONFkyVHEJYAAAAAAAwiRG+TkBeZ4tyG1+Qt/1VKRiSb+4SmbrZZW8zkMoZrW2LaX1HVGG/pyV1PUoE3bJeA9XBWivb1iivdatkjHwzFsmZsUDGHyzrdfoyVhuapOZuKRqU9p9ptHCaFAoQwgIAAAAAgMmH8HUCsNbK9nbIa9okt/FV2e42KRiRM3ORnGnzZBxfGa8ltfQHtKkros3dYRlZzU2kNDeREpMUJz+by8q2bpPX2STJyqmdKadulkxyall7wvakrLa0SU1d+T/PrJHm1hvNrJHCQW40AAAAAAAwORC+VhnrubL9PbK9nbI97fI6W+R17JAy/ZLjk6mZJmfqHJmaaTLGGd21rJR2HXVnfOpIB9TWH1BTX1BZz1HY52pGLK1Z8bQCDrfIvsbmcrKdzbJdLbLpPskYmXitTHyKnGiNTCQuBSOjDmQzOaumLqm5S+rqz29LhKX6hFQbM0pG8n+OBFX2md0AAAAAAACVRvhaRtZa9fb2FnZwqke+NQ/J9HbsfVx/UDZWK8VqpVEEro25KXoqtURWI4dYQWVU6+tR3PTLGG4NSHJz+fA/lx35mGBY3tQFGs306Jxr1NnvqDvtyNq9jzOnNqeD52RUSCYbi8UIbwEAAAAAwJgjfC2jnp4eHXHEEQUd+5aDFuu/rnhXhSsa6oXw0XottGxMrwlU0jWXH6FMum+vxz355JOKx+NjUBEAAAAAAMDrCF/LqKiZrwDGDDNfAQAAAADAeCB8BQAAAAAAAIAKGN2KTQAAAAAAAACAYRG+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvgIAAAAAAABABRC+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvgIAAAAAAABABRC+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvgIAAAAAAABABRC+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvgIAAAAAAABABRC+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvgIAAAAAAABABRC+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvpaRtVY9PT2y1o53KQAAAAAAAADGGeFrGfX29uqII45Qb2/veJcCAAAAAAAAYJwRvgIAAAAAAABABRC+AgAAAAAAAEAFEL4CAAAAAAAAQAUQvgIAAAAAAABABfjHuwCg2qQyVumcZK0U9EvhoOQYM95lAQAAAAAAYIIhfAV2staqs096dJ1Vdyq/LeiXViwwmjXFKugngAUAAAAAAEDhaDsA7NSXlv720uvBqyRlctKq9VYdveNXFwAAAAAAACYmwldgp20dUs4dft/zm63SWTum9QAAAAAAAGBiI3wFlG850Nw1crja2Se53hgWBGBCsrmsvJ4O2Wx6vEsBAAAAAFQBer4Ckowxqo1abW0bfn8sJDm0fAUwApvuU/blVfIaX82v1ifJ1M9RYMnRchJ141wdAAAAAGC8MPMV2GlevZEZIWA9aK5ROEj6CmB3XleL0g/9QV7LFjlzl8i35Bj5Fh4s29upzCO3yW18dbxLBAAAAACME2a+AjtFQ9JbDjR6ZK1VdmfvVyNp6RxpenJcSwNQpbzeTmUe/7NMKCrfAUfIBEI799TL1M+W99rzyj57n+T45Ju+YDxLBQAAAACMA8JXYCefYzQtafXWQ4z6Mvker7GQFA5Ifh+zXgEMZd2css/cI/kD8jUcJeMPDNlvHJ+cxYfKWk/Z5+6TOfZcOfHa8SkWAAAAADAuaDsA7MIxRtGQ0dSE0Ywao3jYELwCGFbuladke7vk3+/w3YLXAcYY+RYdIgXCyj53n6zHyn0AAAAAsC8hfAUAoEhed5vcDS/Imb2/TDSxx2ONzy/f4kNku9vkbnxhjCoEAAAAAFQD2g4AACCpJ2XV3CV19Vtlc1LAL9VGjWZNkYL+oTPgc2sfl8JROTMXFzS2E6uVnT5fufVPyzd7f5lQtBIPAQAAAABQZQhfAQD7LNez2tQird9h1d6b3xYJSn6flHOltdutHCPtP9Nq2dx8GxKvvVFeyxb59jtMxin8CyTOnAZ5bduUW/+0AgcdV6FHBAAAAACoJoSvAIB9jrVWrzVLL262SmWlurh00BxpSmzoAnuZnNW2dumVRmlbu9VbDpQC65+RiSRkpsws6prGH5Azc7HcLS/Lt/AQOXtpVwAAAAAAmPjo+QoA2Ke0dlvd/bzVk69aJSPSUYulg+cZTUvuvsBe0G+0cJrREYsk15Pufd5VT3uXnFn7yZjiF+Nzpi+U/AG5G54r06MBAAAAAFQzwlcAwD7B9aye3ejp3hetXE86bKG0dI5RNLT3EDUaMlqxQHK8jB6NvU25mlkl1WB8PjnTF8rdulY23VfSGAAAAACAiYPwFVXJWisv1Suvq0VeR5O8vm5ZNzfeZQGYoLr6re553uqVRmnxdOnwhVIyUtzM1YAyOrDvMaWdqJ5qqpW1pdXiTF8gyVFu0+rSBgAAAAAATBj0fEXVsZ4r29mszDP3Spn+/EbHJ3/DkXJmHSAnGBrfAgFMKJtbrR5fbxUK5Ge7xsPFtwuQJK9lq8Jevw6o7dGajhpt7UlpbiJd9DjGH5AzdY7czWvk32+FjOMrqR4AAAAAQPVj5iuqjk31KvPEXa8Hr5LkucqteUy2s2n8CgMwoVhr9dIWq0fXWdXH87NdSw1eray85k1yEnWaFndVH87o2aaEcl5p4zkzFkjZlLzGV0s6HwAAAAAwMRC+ouq4ja9Knjvsvty6J2UzqTGuCMBEY63VU69ZvbjFauE06cDZks8pLSiVJPW0y6b6pJrpkqTFtX3Kuo7WtkVLGs6E4zLJqcptXlN6TQAAAACAqkf4iqpiPU+2s2Xk/X1dsu7wwSwASPng9fH1Vq82SUtmSQumGhkziuBVktuyVQqEZKJJSVLY72l2PKV17VGl3RJnv06bJ9vRJK+nfVS1AQAAAACqF+ErqopxHJmaaSPvj9XI+OiPCGB4AzNeN7ZIS2dLM2tHF7rmx/TktW2Xk6zXrhnunERKVkavtJc4+7V2huQPyt2ydtQ1AgAAAACqE+Erqo5v5iJphAVo/AccIRMMj3FFACaK1Vs1OON1es3og1dJsh1NkpuTSU4dsj3os5oVS+nVjqhyXvHjGseRUz9b7vZXZL0SBgAAAAAAVD3CV1QdE44reNSZUjj2+kafX/6lb5ZTM3XkEwHs07a05Xu8LphanhmvA7y27TKhqEwostu+2fG0sp7Rpq7d9xXCqZ8jZVLyWreMtkwAAAAAQBXyj3cBwBsZx5Fqpit4zDukTEqynhQMywSjtBwAMKyelNXjr1hNS0gLyvgZjfVceZ1NcqbMGnZ/2O9paiSrV9qjWlTTr6Jby0aTMpGE3G3r5Zs2f/QFAwAAAACqCjNfUZWMMXLCMTnJejk10+REEgSvAIbleVaPrrMK+KWGWRr14lq7yrcccGWS9SMeMzOWUk/Wr7ZUoOjxjTEy9bPlNW2UzWVHUyoAAAAAoAoRvgIAJrQ126SOXunA2ZLfV77gVZK89sZ8y4E99JquDeUU9rl6rbPE1gN1syXPlde0sdQyAQAAAABVivAVADBhdfVbvbTVal69lIyUN3i11pPX2SyTmLLH44yRZsTS2todKm3hrVBEJj5FbuOrJVYKAAAAAKhWhK8AgAnJWqsnX7UKB8rb53Vw/K5Wyc3JxOv2euy0aEaudbS9Z+QZsntipsyU17JVNpsu6XwAAAAAQHUifAUATEhb26SWbmn/GZLjlHfWqyR5HTukYEgKRfd6bMTvKRnMalNXaeGrUzdLsp5cWg8AAAAAwKRC+AoAmHA8z+q5TVZ1cakuXv7g1crK69ghJzZFha7fNTWaUVNfUBm3+HpMMCwTnyJvx4aizwUAAAAAVC/CVwDAhPNas9SblhZPq9AF+rqkTFqK1xZ8ytRIRlZG23tDJV3STJkhr3WrbC5T0vkAAAAAgOpD+Ip9lk31yW3fodzmNXJbtsjr75G1drzLArAXrmf10har6TVSLFz+Wa+S5LU3ST6fTCRZ8Dkhn1UymNXW7hJbD0yZKXmevObNJZ0PAAAAAKg+/vEuABgPXn+3sk/+Rba34/WNgbCCR50pxafIFPo94zKx1sqme6VcLh/4BCMyPt6ewHA2NkuprHRwfeWu4XU1y0RrZIrsJVsfyWpjV0Q5T/IX+fGmCUVlojVymzbKN2u/4k4GAAAAAFQl0h3sc2w2rdyLDw0NXiUpm1LmyZUKHnuOTDg2dvVkUnJ3bFDulSelTEpyfPLNPkD+/VaMaR3ARGCt1ZptVtOSUjRUmQ9JbC4t29MhZ9bios+tD2f0WmdUTX0hzY6niz7fTJkur3GDrOfKOL6izwcAAAAAVBfaDmCfYzMpea1bh9+Z7pNSvWNXi+fJbXxVuZceygevkuS5cresUeb5+2Qz/WNWCzARbGvP93qdW1e5a9jOZkmSidUWfW4k4Cnqd7W9p7S+r07tDMnNymvdXtL5AAAAAIDqQvi6iwceeEDvfe97deihh+qwww7TpZdeqmeeeWa8y0K5ubk97rYDIegYsOm+/IzX4fa1Ncqm+sasFmAiWLvdqiYiJSOVaw3idTTLhGMy/kBJ508JZ9TYG1RJLaQjCSkUlde8saRrAwAAAACqC+HrTqtWrdJHPvIRdXd368orr9THP/5xbdq0SRdffLGee+658S4PZWQCQWkP/VRNNDF2xeSyUnbklc29no6xqwWocp19Vi3d0pxKznqVldfVIhOrKXmMunBWadenznTxnX2MMXJqpstt2swCgAAAAAAwCRC+7vS1r31Ns2bN0s0336xLL71UH/7wh3XzzTcrGo3qO9/5zniXh3IKRuVbfOiwu5xp82WC0bGrxeeTNPIMPhOKjF0tQJV7pdEq6JfqK/n5SE9n/kOREloODEiGcvIZq8beYEnnmynTpXSvbHdbyTUAAAAAAKoD4aukzs5OrVmzRmeccYYikdfDrqlTp+qoo47S008/PY7VodyMzyf/nCXyLTlaCuwMRxyffPMPUuCgN8sES+vVWFItgbCc6fOH3xkIyUSTY1YLUM1yrtWmFmlmreSYCrYc6GyWfD6ZSLzkMRwj1Yay2tFb2u8SE6+TfH55TZtKrgEAAAAAUB2K/07kJBSPx3XXXXcNCV4HtLe3y+djxenJxoQi8s9fJt+MRZKbk/H5pGBEZg/tCCpSRyAo/4HHKtvfPXSWmz+o4BFvkwnHxrQeoFptaZNynjSz9G4ABfG6mmWiNTKjDHhrw1m92hFV1jMKOMW1DzCOIyc5VW7zJvn3P2xUdQAAAAAAxhfhqySfz6eFCxfutn3NmjV66qmndPzxx499Uag44zijmt1WLk4kruARb5O3M4A14Zic+BQpHB91AARMFq81WdXGpEiwcu8J62ZlezvlTF846rGmhLKyMmrpC2hWfOS+ziMxtdPlvfacbLqf9iMAAAAAMIHRdmAEvb29+tznPidJuvzyy8e5Gkx2JhSVr3aG/POWyjdtvkwkQfAK7NSbzi+0VelZr7arVbJWJl476rHCfk8hn6umvhJbD9RMkyR5LVtGXQsAAAAAYPwQvg6jv79fH/3oR7VmzRpdfvnlOvroo8e7JADYZ21qyfdRnVrJhbYkeZ0tUjAsEyhtoaxdmZ19X5v6Slx0KxCSidXKbd486loAAAAAAOOH8PUNurq69MEPflCPPfaY3vnOd+rKK68c75IAYJ+2qcVqakLyOZWdDe51NcuJlW96bW04p+6MX6lcaX/Vmpqp8lq3ynpe2WoCAAAAAIwtwtddtLa26pJLLtFTTz2lCy+8UF/96lf56jcAjKOuPquufmlasrLXsek+Kd0vRcsXvtaEspKklv5ASeebmulSLiPb2VS2mgAAAAAAY4vwdaeenh596EMf0urVq3XppZfqmmuuIXgFgHG2udXK50h1scpex+tsloyRiZUv5Q35rKJ+t/TWA7EayR+U20zfVwAAAACYqAhfd7rmmmu0evVqXXLJJfrXf/3X8S4HACBpS5tUH5ecCrccsF0tMuG4jOMr67jJUFYtpYavxsgkp7LoFgAAAABMYP7xLqAarF+/XrfddpuSyaSWLl2q2267bbdjzj333HGoDAD2Xd39+ZYD8+orex0rK6+rVc6UmWUfuyaUU2NvWKmco7C/+N6tTs00ua89K5vulwlFyl4fAAAAAKCyCF8lrVq1SlJ+sa2RZr0SvgLA2NraJjlGmlLhlgPq6ZTcXFn7vQ7Yte/r3ES66PNNzVRJkteyRb45B5S1NgAAAABA5RG+Srrooot00UUXjXcZAIBdbG2zqotLvgq3HPC6WiSfTyZc/pQ35LOK+F219AVLC18DIZlojdzWrYSvAAAAADAB0fMVAFB1Uhmrtt58v9dK87paZCIJmQqFvMlgTi39gZLPNzX5vq/W2jJWBQAAAAAYC4SvAICqs70j/7OuwuGrdXOyPe0ysfK3HBiQDGXVlfEr65YW7prkVCmblu1uLXNlAAAAAIBKI3wFAFSdbe1WyYgU9Fe25YDtaZeslalAv9cBNcGcJKPWVGmzX018iuT45LVsLW9hAAAAAICKI3wFiuR5Vr1pq/Zeq84+q1SWrwID5eR5Vjs6Kz/rVdrZ79UflIKRil0j7PcUdDy19AdLOt84jkyiXm7LljJXBgAAAACoNBbcAoqQyVltaZWe3WSVc/PbkhHpmAOkmohkTGVn6QH7gpZuyfXGJny1nS0y0aQq+dY1RkqEcmobbd/XzWtkc1kZf+njAAAAAADGFjNfgSK0dEtPvvZ68CpJXf3SfS9a9WXGry5gMmnssAr6pXiostex2bRsf3dF+70OSAZzaksF5JU4Ud5JTpWsJ6+9sbyFAQAAAAAqivAVKFAqY/X8puGTk6wrNXWOcUHAJNXYIU2JVX4m+cACVmMTvmblWaOOdIlfOAnHpGBEXit9XwEAAABgIiF8BQrk2fws15G0dNP7FRit/oxVZ79UF6v8tbzOFplQdEy+xh8PunJk1VZq31djZJL1hK8AAAAAMMEQvgIFMkaK7eFr0LXRsasFmKwGZpDXVjh8tbLyuvL9XseCY6R4MKfWUfR9dZJTZXs6ZNN9ZawMAAAAAFBJhK9AgSJBo4PmDv81aMdIs6aw2BYwWo2dVvGwFPRX+P2U6pMyKWkMWg4MSARzak2NYtGtZL0kyWvdVq6SAAAAAAAVRvgKFGFmrbRklrRrLBT0SycsNYqW9m1iADtZa9XUOTazyL2uFskYmWii8hfbKRnKKZXzqS9b2l+9JhCSiSbl0noAAAAAACaMElf+APZN4YDR0jnS4hlSX1ryOVIkmP+v0osDAZNdd0pKZfOLbVWa7WyWicRlHF/lL7ZTMpiTJLWnAooG0iWNYRL18lq3yVrL7xwAAAAAmACY+QoUKeA3ioeNptcY1SeMoiFDCAKUQVNnvrdyTYVnvlpr5XW3yUTHruWAJAV9ViGfO7rWAzVTpXSfbF9nGSsDAAAAAFQK4SsAoCrs6LRKRiSfU+EPM3o7JDc3pv1eBySCObWNYtEtE58iGUPfVwAAAACYIAhfAQDjzlqr5q6x6ffqdrZIPr9MOF75i71BMphTRzogz5Z2vvH5ZeJT5NH3FQAAAAAmBHq+omrZXFY20y/b2yU5jkw0IROMyvjGrkcjgLHR2Sdl3bEJX21Xs0w0qfHoFpII5uRZo860X1PCuZLGMIl6eU0bZa0nY/gMFQAAAACqGeErqpKXScnd8rLcV56U7M4pYj6/AstPkDN1roy/9K/tAqg+TV2SY6RkpLLXsW5WtqdTzsyFlb3QCOJBV0ZWbf2B0sPXZL20bZ1sV6tMzbQyVwgAAAAAKCemzKAq2a4WueueeD14lSQ3p+yz98r294xfYQAqornLKhGRnAr3e7VdrZKszDj0e5XyAXM86KptNItuxWolx0ffVwAAAACYAAhfUXW8bFq59U+PuN/dvFrW88awIgCVNJb9Xr3OZikYlgmEKn+xESSCudGFr44jk6iT20b4CgAAAADVjvAVVcd4uT3ObrW9HZLnjl1BACqqqz/f77WmwuGrlZXX2SwnVlvZC+1FIphTb9avtFv6LF+TrJdt3yHL70IAAAAAqGqErxhz1s3J6++R19spm+rd/QAnICdZP+L5pnaG5CusXbHNZWWzaVlb4tLiACquuUsyqny/V/X3SpmUNE4tBwYkgvler+2jmP3qJOolz5XtaCpXWQAAAACACmDBLYwpm+pV7tXn5G59WfJcmUhc/oaj5dTNlgnmvwZsAkH59ztcmebNuw/g88s35wCZvSxTbjMped2tcje8KJtLyzdjoZwZi+RE4pV4WABGoaU73+/VV+F+r15Xs2SMTDRR0evsTdjnKeB4ausPaGYsU9og0aTkC8ht3SanblZ5CwQAAAAAlA0zXzFmbLpfmWfvlbv5pcG2Aba/R9ln75XXunXIsSZWo8Dhb5VC0SHbgkedJRPec4DqZVLKrntS2SfukteyWbajSbmXVynz6B/l9XWV/4EBKNlAv9eKz3qV5HU0y0STMo6v8hfbA2Pys19HM/PVGCOTrJPXtr2MlQEAAAAAyo2ZrxgzNtUz4ldks2tXyUyZIScckyQZf0DO1LkKHnuOlE3nZ6sFQjKhAppCpnrkbVmz+/ZMv3Lrn1Zg6XEyfm59oBr0paVUdgz6vbo52Z5WOVPnV/ZCBYoHc9reE5a1+TC2FCZRL2/zatlcVsZfepALAAAAAKgcZr5izHidzSPvTPVKbnbIJmOMnHBMTqJOTnxKYcGrJLdxw8g1bH9VNpsqaBwAldfSnf9ZU+GZr7a7TfKszDj3ex2QCLjKeo56s6XPwnWSUyVr5XXsKGNlAAAAAIByYvofxswew1NjJFN6CGHT/fn/sik50+bJ+HzKvfac5ObeeGTJ15iMMjmr/oy0sdkqnZPm1BlNiUmRYGV7bwIDWrqtYiEp4K9wv9fOJikYkoJj0N+gALsuuhUPuqUNEo5JgZC81m3yTZ1bxuoAAAAAAOVC+IoxYxL1kuMb7Pe6K2fmYplguKRxvb4uZZ++R7an/fVr1c2W/9jzlHvtBWn7Wsl6+etMXyATCJb2ACaZbM7qtWar5za+vm1Ds1UyIr3lQCkaIoBF5bV0V77fq5WV19EkJ1Zb8lf8yy3gswr7XbWlApqXLG02vjFGJkHfVwAAAACoZrQdwJgx4agCR7w1H8Duuj0+Rf4DjiypZ6FN9yn71N1DgldJsm3blFv3hFqmHyF3xdn5a/qD8h9whIyf8FWS+jIaErwO6OqX1m63cj1mCaOyMjmrrv4xWGyrv0fKpKT4lApfqDiJQE5tqdF9Buokp8p2tcpmM2WqCgAAAABQTsx8xZgxjk9O7QwFj3tn/ivAqV6Z2ulyosmC+7m+kU33yfZ2DL+zaaPi847U4zvqdMxhZykUDctEEqU/gElmS+vI4eqrTVLDLCkaGsOCsM9pHej3WuHFtryOJslxqu79nwjmtKErKs9KTsmLbtVJsvLaG+WbXh2LiQEAAAAAXkf4ijFlHJ9MNCEnWp4QxKb797RXjpdVc7ej9MJpikSr5PvGVSKzhzaTrkd3XFRea49VwCeFi5/0XhSvY4dMtEbGqa4veySCOXnWqDPt15TwG/tTFygUlYIReW3bCF8BAAAAoApV179EgSKZcGwPOx25Tr7FQNeeMtp91JwpI4fR05NSoPT1z4CCtHTnZ72aCjZitdm0bE+HTKK6Wg5IUjzoysiqLVV6+kzfVwAAAACoboSvmNBMKCJTM33YfXZWg17rzC/iVemZdRNRIiLVDZNdGyMdusAoWOHV57Fv86xVW0/l+716nc2SJBOrreyFSuAYKR5w1T6K8FWSnGS9bHebbCZdpsoAAAAAAOVC+IoJzQQjChx6spypc3fZaKTZDeqasUKvNvsV9Evx8PjVWK0iQaM3LzE6aI4U9Oeftpm10mnLjRKVXgAJ+7zOvnx7i0qHr7a9USaSKGlBv7EQD+bU1j+62kyiXpLktTP7FQAAAACqDT1fMeE5kbgCh5wkL51Sf39WORPUa51hrX/VL79PesuBRpHgeFdZnSJBo6VzpcUzJGvzrQYCzHjFGGjtzgf+iQp+MGLdnLyuFjn1c/d+8DhJBHPa3htWxjUK+krrtGxCESkUlde2Xb4ZC8tbIAAAAABgVAhfMeHZVJ9sNiVjrcKxsHptRMmco+PqpGRUigYr21NyonMM4TTGXmu3VSIsOU4F+712NkueV5X9XgckgvmFtjpSAU2PZUoeh76vAAAAAFCdCF8xYVnPk+1qUfa5+2T7u/MbAyHFl75JyanzZAIkikC1au2RavewXl45eO2NMqGoTLB6+45E/J78xlPbKMNXJ1Evt2WLbKZfJkjfEAAAAACoFvR8xYRlUz3KPP6n14NXScqmlX3uPuW627V6i6eXt3nq7rfK5kr7Oi+A8ktlrXrTle33aj1XXmezTKKuchcpA2OkeNBV2ygX3TLJ/OP02hrLURYAAAAAoEwmVPh6//3369RTTx3vMlAFrLVyt6+XPHfY/d4rT8rmMnpuk3TXs1abWkUAC1SJtp2fl1Q0fO1qldxc1YevUr71QFsqIDuKX1EmGJFCMVoPAAAAAECVmVDha39/v7Zt2zbeZaAaeK5sR9OIu21Pu5Kh3OCfn3rNqr/0b/QCKKPWHqugXwpVsPGN175dCkbyi1FVuUQwp4zrqC83ur+STZK+rwAAAABQbaqi5+v3vve9go5bv359hSvBhOH4ZOJTpJYtw+420YR6s74h2za3Wi2LsvAWMN5au/OzXiu1EJ71XHntO+RMmVmR8cttYNGt9lRAsUC65HGcRJ3c5s2y6f4JEToDAAAAwL6gKsLXH/3oR0omk4rH43s8LpVKjVFFqHaeldwZDdLGFzTcd3Vz8w/TK42hIdtS2bGqDsBIPGvV1istmFq5a9jO5gnTckCSgj6rsM9VW39AcxOlh68mUS8pP+vXN3NxucoDAAAAAIxCVYSv8+fP1xFHHKGvf/3rezzurrvu0pVXXjlGVaGapTLS8ztiOmT56XJW3yfldvYUMI68RUdoS26a+t7QZmD2FGa9AuOtq09yPSlRwYmZXus2mXB0Qs3+HOj7OhomGJbC+b6vhK8AAAAAUB2qInxdsWKFnn766b0eZ4yRHc2KJJg0cp60ud2n/uwsHXzweQrbPhnrKRCL6/ntIW3YNvTWTkSk2tg4FQtgUGuPZCQlwpUZ37pZeZ075EydV5kLVEgimNOGrqg8Kzmj+JzISdTJa6XvKwAAAABUi6oIXy+55BI99dRTez3uqKOO0i9+8YsxqAjVzu/kA4qWHkd/64nJmJiMpOk10uLpRl0Zq7ae/DGLpksHzjaKBJn5Coy3th6rWFjyjSZh3AOvrVHy7OBX8CeKRDAnzxp1pv2aEs7t/YQRmES9vObNsuk+mVC0jBUCAAAAAEoxZuHrNddco0MOOUTnnXfebvuWL1+u5cuX73WMuro6HX300RWoLm/z5s36j//4D61atUqSdNJJJ+nzn/+86uomRt/AfUk4KO03Q1rXmP+ztZKV1NghpbNWb2rIBztGUihQuaAHQHFauys361WSvJYtMrEamUCwchepgHjQlZFVW39glOFr/u8rr61Rvlm0HgAAAACA8TZm4euNN96o3/zmN3ryySd1zTXXVGyV61K1t7frAx/4gDKZjD784Q/LdV397//+r15++WX97ne/UzA4sf4hP9n5HKMls6VU1mpz6+vbE2HpmP2NYqHqur8ASJmcVXdKmj2lMuPbVK9sT7uc2ftX5gIV5Jh8ANuWCmg/9Zc8zpC+r4SvAAAAADDuxrTtgLVWt9xyizo7O/Wtb31LgcDeFxfZtGmTamtrlUwmK1rbz372MzU2Nur222/XfvvtJ0k69NBDddlll+nWW2/Vu9/97opeH8WLBI2OWCQtmyuls5Lfl5/lOpHaC9hcRjbTL7mu5A/mFwkyzniXBVREe0/+Z7JC62C5LVskn18mXqF0t8ISwZxa+0e36Ja0s+9r27YyVAQAAAAAGK0xTXkOOOAAhcNh3X333briiivU37/32T0/+tGPdOyxx1a8tjvvvFNHH330YPAqSW9+85u1aNEi3XnnnRW/PkoT8BslIkZTk0a1sYnV19Xr71b2ufuUeeAWZR7+gzKP3Cp3y1p5mdR4lwZURGtPvl9zpAJfJLDWymvZIidZL+NMzA8wksGc+nJ+pXKj+z1mEvWyfV2y6b4yVQYAAAAAKNWY/gt1+fLluuGGGxSPx/Xwww/rsssuU2dn517Ps9ZWtK7Ozk5t3rxZy5Yt223fsmXL9OKLL1b0+hgqlbHq7LNq67HqTVu5bmVf//HgpfqUfXKlvObNr2/MppV76SF5LZsrfs8D46GtxyoRUUXaztiOHVI2LVMzvexjj5VEMN/rtS01unTaJPOLjXlt20ddEwAAAABgdMZ8etBhhx2mX/7yl6qvr9ezzz6riy++WC0tLWNdxhA7duyQJM2YMWO3fdOmTVN3d7e6u7vHuqx9jrX50PW+l6z+8pzVX1+wWvms1bodVuns5AojbV+nbO/wHzzk1j7BjDVMOtZatfZUbrEtt2mjTCQuE45W5gJjIOTzFPR5ahtl6wETCEnhOOErAAAAAFSBcflu5oEHHqgbb7xRs2bN0rp163TRRRdp8+bNez+xQnp7eyVJkcjujQhDoZAkqa+PMKzS+jLS317ML8gzwPWk5zdJjXufID2h2M7mkXem+yS39NXOgWrUl5Yyucr0e7X9PbJdrTJTdv8AbSIxZmff11S5+r4SvgIAAADAeBu3xnjz58/Xb37zG+2///7avHmz3ve+92ndunXjUkshX/GuxNdkMVRrt5R1h9/34marVGbyzH41kcTIO31+yfGNXTHAGGjdudhWogLhq9u0UfIHZOL15R98jCWDObWnAvJG+evOJHf2fU31lqcwAAAAAEBJxnVVkhkzZujXv/61DjnkEDU1Neniiy/WM888M+Z1RKP5r6mm0+nd9g1si8fjY1rTvqitZ+S0oTctTabWr6ZmquQbfnabb96BMsEKLQcPjJO2HqtwQAr6y/tBls1l5LVsllM7Q8aZ+B+SJYNZedaoI+0f1TgmUSdJ8toay1EWAAAAAKBE474kdE1NjX72s5/pTW96kzo7O3XZZZfpwQcfHNMaZs+eLUlqbt79q+BNTU1KJpODAS0qpyY6cnASCUqTIFcZZEIxBY88Q/IPXVjHmTpX/gXLZXzMfMXk0tpTmVmvXtNGSVamduIutLWreNCVI6u2/lEuuhUIyUTi8tq2lakyAAAAAEApxj18lfIzT6+//nqdfvrp6u/v10c/+lHdddddY3b9ZDKpuXPn6sUXX9xt30svvaTly5ePWS37sulJyT/CHXnQHKPw6NsgVg3jODI1UxV88/kKHHmm/IecnP/fB58oE46Nd3lAWXmeVUdv+fu9Wjcnd8cGOclpMv7J8QvCMVI8lFPLKBfdkiSTqKfvKwAAAACMs6oIXyUpGAzqe9/7ni644AJls1l9+tOf1k033TRm13/rW9+qRx55ROvXrx/c9vDDD+u1117TWWedNWZ17MuiIenEg4aGrMZIS2ZJc+omX99dYxw5kbh89bPln7VYTqJOJlihpeCBcdTRJ3lWSpT59vaaN0u5nEz97PIOPM6SwZxa+wMqoB35HplEnWx/N31fAQAAAGAcja6pXBG+8Y1vKBze87+8HcfR1772NdXU1OinP/2prr76atXXj80CKh/5yEd022236dJLL9UHP/hBpdNp/eQnP9GyZct07rnnjkkN+zpjjKbErE5dbpTOSa4rhYNSOCD5fZMreAX2JW09klF5w1fruXIbX5VTUy8TCJVv4CpQE8xpS3dEfVmfYsERViEsgEnk//702rbLN3v/cpUHAAAAACjCmIWv5513XsHHfu5zn1NNTY2++93vqqWlZUxmPNbV1elXv/qVvv71r+u6665TOBzWaaedps9+9rMKBkfXew+FM8YoGsrPggUwObT1WMXDklPGxs1e00Ypl5Gpn1u2MatFIpSTJLWkAqMLXwNBmUiC8BUAAAAAxtGYha/FuuKKK1RbW6trrrlGdrTfvSzQ4sWL9T//8z9jci2Uxvb3yO3YIdu6XSZWI2f6fJlwnAWqgCrW2lPefq/Wzcrd9oqcmmkywcn3SU3AsYoFcmrtC2hBMjWqsUyiTm7bNk2OjrgAAAAAMPFUbfgqSe95z3t05JFH6oUXXhjvUlAFvN5OZVbdKWX6X9+47nEFDnurnPpZMg4BLFBtMjmrnpQ0t658Y7rb1kvWk5k6+Wa9DkgGc2rpH/23LkyyXmraKNvfIxOJl6EyAAAAAEAxqmbBrZHsv//+RbUswOTkZVLKvvDg0OBVkqxV9tm/yqb7hz8RwLhq68n/LFe/V5vqlbfjNTl1s2X8k3c+ZzKUU0/Wr1RudH9Nm0Q+9fbatpejLAAAAABAkao+fAUkSdm0bEfj8PvcnGxvx5iWA6AwbT2S3ydFytA628rK3fSS5A/K1M0a/YBVrCaUlSS19o8uYDb+oEw0KZfwFQAAAADGBeErJgbP2+Num82MUSEAitHaY5UMqywLJ9q2Rnmdzflez87k/usr5LOK+F01l6P1QKJOXtu2MeufDgAAAAB43eT+1ysmj0BQCkVH3O0kythQEkBZWGvV1iMlyrDYls1lldv0kkx8yj7zfk8Gs2ruG31rBZOsl1K9sv3dZagKAAAAAFAMwldMCCYUVeDAY4fd58w+QCZUxqXUAZRFb1rK5MoTvrobX5A8V86MhaMfbIKoDeXUnQko7Y5u1rCJ0/cVAAAAAMYL4SsmBGOMnPo5Chx5pkyiPr8xFJV/6ZsUaDhKJhAa3wIB7KZ152JbyVEutuW1bZPXtl3O9AUygTI0j50gBvq+tvSN7jEbf0AmViOvdVs5ygIAAAAAFME/3gUAhTKBoHz1s+Uc+TbJcyUZKRQtSy9JAOXX1m0VCUoBf+nvUZvuU27DC3KS9TLJqWWsrvqF/Dv7vvYFNSeRHtVYJlEvr227rLX8zgQAAACAMcTMV0w4JhiRCcdlwjFCBKCKtfZIyVG0HLCeq9wrT0o+n8zMRdoX3+41oayaRjnzVdrZ9zXTL9vbWYaqAAAAAACFInwFAJSd61l19EqJElsOWFm5G1+QTfXIN7tBxvGVt8AJojaUVU/Wr/7s6P66NvEpkjHy2mg9AAAAAABjifAVAFB27b2SVekzX73GDfJatsqZsVgmHC1rbRNJbSgnSWrqH2XfV59fJlZL31cAAAAAGGOErwCAsmvrkRwjxUqY+ep1NMndvFpO3Sw5NftWn9c3Cvis4oGcmnrL03pgoO8rAAAAAGBsEL4CAMqupdsqEZGcIhu12t4O5dY/JROfIjNtfoWqm1hqw/m+r6PNTE2iXsplZLtby1MYAAAAAGCvCF8BAGXX1l18ywGb7lN23RMyoaic2fvvkwtsDWdKKKu061Nnxj+qcUy8VnJ88lq3l6cwAAAAAMBeEb4C4yzrWvVnrNJZvgqMyaEvbdWflZJFtBywubRya1dJxsiZ0yDj8NfTgGQoJ5+x2jHK1gPG8cnEp8ht3VqmygAAAAAAezO6aTQASua6Vt0p6aUtVi09UjggLZ0jTUtK4QBT/jBxtfbkfyYKnPlq3Zxya5+QzWXkm79Mxh+oXHETkGOkmlBWjb0hLanrG9VYJlkvb9srsp4r4/jKVCEAAAAAYCRMLQLGSVuvdM/zVlvbpXRW6uyTHl1n9dJmq0yOWbCYuFq7rcIBKVTAhwjWWrnrn5bt75Zv7oEywRJW6NoH1IWzausPKOuO7oMZJzlV8lzZzuYyVQYAAAAA2BPCV2AcpDJWT75mNVzEur5JSmXGvCSgbFoL7PdqZeVueF5eV0u+1UA4VvniJqgp4aysjHb0ja71gKJJyReQ27qtPIUB/z97/x0l2V3f+f/Pz72VU+fu6ck5aEajhCQQwoAQIIRZIe0XC4xtJA7swUbYa3YXw1nA2MvugvExNsaBJRhWJln+YQSINdhIIJQHpRlNztMTOufqrnTv5/dHTdR090x3V+ru1+McndHcW3XrPdLU7arXfd/3R0REREREpqTwVeaNTM7SP2o50Gk50W9JZyy+X5sdpDkPRsYn33/mtm2RucbzLQNjlxe++icP4Pcex1m0GideV/7i5rBIwCceLHBqNDyr4xhjiqMHejX3VUREREREpBI081XmhbGs5an99oLQ0nXg5o2G5oTFcWprhuqlynF1WUTmqIE0WHvp8NXvO4l3Yj9O81KcuubKFDfHNUaKc199e+lzyFRMqgn/2C5sIYcJzLKTVkRERERERKakiEfmPM+37D5pL+oW9Xx4bI9lvAZv4Q+60JyceJ8BGhMVLUekZHpHihcPElOMbrWjgxSOvIiTasY0LalccXNcUzRH3nfoG5/dgmROqhmsxe/vLFFlIiIiIiIiMhmFrzLnZXJwpHvifZ5fXNiq1oSDhutWGUIT9J5fu8oQ0WLvMkf1jViSkeLt7ROxuQz5A89iwgnMolVM8jCZQCLoEXI9To7OclGycAzCMfw+jR4QEREREREpN40dkDnPt8V/JjOesxT7SWtLMgq3bjGcGLB0DUEsBGvaDPEwBNzaq1fkUqy19I7AovrJ9vsUDj4H1uIsWYdxdP1vOoyBpkieE6NhtraMzDi4NsZgkk0KX0VERERERCpA4avMeQGnGFyOTTJeoDFWDIUm68SrFmMM8QisbzesabMYA06N1SgyHaMZyBWgbpJ5r17HHmx6CGf5FZiA2rtnojma41Q6wkAmQGO0MOPjOHXNeL0d2EwaE4mXsEIRERERERE5n9qOZM6Lhg1bl08cWtZFLdH0SfyBLqzvVbiyy+c6RsGrzHm9I8VfJ1psyx/oxO86gtO6HCeqocYzVRcuEHR8jo/MbvSASTUB4Kn7VUREREREpKwUvsq80FYPN641RE8v3G0MLG/0uWnJEO7uR8g/+6/Y8dEpjyEis9M7YklELh6bYXMZCoe3YxINmPpFVapufjAGWmI5jo9EsFOMW7nkcQIhTLwev/d46YoTERERERGRi2jsgMwLoYBhSSpL09JBCgRw8Al0H8A8vxdOd7x6pw7irL22ypWKzF+9Ixd3vVoshcMvgnFw2ldrga0SaInmODkaoXc8SEssP+PjmFQTfu9xrPUxRtdiRUREREREykHhq8wbxi/gvvRT3PzEw1/tcC/W9zCOW+HKROa/TN4ymoFljRdu97uOYYf7cJZtxLj6kVMKyVCBiOtxbDg6u/C1rgVOHcQO9xX/XUREREREREpOrS4yfzguJlY36W6TalbwKlImZ+a91sXObbPZMbzju3Ea2nDik783ZXqMgdZ4luMjYQr+LI4Trwc3oNEDIiIiIiIiZaTwVeYNJxQhsO66iXcaB7d9TWULEllAeoctkSCEg8W5AhZL4cgOCAQxLcuqXN380xbL4VmHE7NYeMs4DibZhNerRbdERERERETKReGrzCtOqpnAppvg/NubQ1GCr7gNoxXWRcqmZ/jCrle/90Rx3EDbKnWcl0Ek4FMfznN4KHrpB0/BqWvBDnVj89kSVSYiIiIiIiLn0wA+mVdMMIy7ZD1Oy1LIZYr354aimHAMc3qln2ze4vngGIiEtPqPyGzlC5bBMVjfXvy9LeTwOnbjpJo0bqCMFsUz7OlPMpQNUBcuzOgYpq4FrMXvO4m7aFWJKxQRERERERGFrzLvGNfFRJMQTV6wPV+wDKZhe0fx12gINi2B9nqFsCKz8fJ5r97xvWB9TOuK6hW1ADRF84Rcn4ODUa5tG5nRMUw4iokm8HuPK3wVEREREREpA40dkAXBWkvXEPx8t6V/FHwL6Sz86pBl1wlLrmCrXaLInNU9bAkHIBoEmx7E7+nAaV6KCQSrXdq85hhoj2c4Nhwl6838ApJJteD1dGCtzoMiIiIiIiKlpvBVFoTxHDx/ZOJg4WAXZPMVLkhkHjk779VA4diu4piP+kXVLmtBWBQvzmo9NBi7xCMnZ+pbIDeOHekrVVkiIiIiIiJymsJXmffGc5bxHGSmCFiHxitXj8h8ki9YBtJQHwPbdxI7OohpXYHRJI+KCLmWtliWgwMxCv7MjmESjeAG8Hs6SluciIiIiIiIKHyV+W0sa/nFbjtl8AoQ1GLsIjPSc2bea9SncHwPJtmAE09Vt6gFZmkyQ943HJ5h96txHEyqGU/hq4iIiIiISMkpfJV5y/Mte05aRsZhaAwa4hM/znUgEa5sbSLzRfeQJRyEUP9hyOdwWpZXu6QFJxLwaYtn2TsQp+DPrOXYqWvBDvVgs7oNQEREREREpJQUvsq8lc3DkZ7ivx/ssmxeZggFLnyMMfCqdYZIqPL1icwH3cNQH/HwOw/h1LdhQpFql7QgLUtmKHiG/QMz7H6tbwXA61X3q4iIiIiISCkFLv0QkbnJAt7pGYiZPLx4xHL9asNwBgbTlkQYVrQYYiFwHQ2oFJmubN4yNAatoU7AYpqXVLukBSsS8FmcyLCvP8bKunGigekNgDXBMCZej999DJasL1OVIiIiIiIiC486X2XeCjjQlDj3+5EMPL7PcqzX4ltY2mRIRg2uq+BVZCa6h4u/Jgf34TS0Y1xdz6umZakMjoEdPYlLP3gCpr4Vv+8E1iuUuDIREREREZGFS+GrzFvhoOHqleaiVdeHxiCTg3CwOnWJzBddQ5aoGSfseJjG9mqXs+AFHMuqujGOj0TpSk9/lorT0AZeAb//VBmqExERERERWZgUvsq8VheFWzYbWk4vvh50YdMSeNV6QzSkjleRmbLW0jngU5ftwmlagnH046QWtMZy1IfzPNeVIu9N8xwXSUA4jt99tDzFiYiIiIiILEC6R/S00dFR/vIv/5Kf/vSn9Pf309raytve9jY++MEPEgppNaa5ynUNjQm4aT0UvOK2SBAczXgVmZXRDIznHZabIUzd0mqXI6cZA+sa0jzXleKF7iTXtw9P47kGp6EVr/sogStuwhgF6iIiIiIiIrOl8JViB9d9993HM888w91338369et54YUX+NKXvsSBAwf4m7/5m2qXKLMUChhC+tsuUjKnOkcxNkpDQwyjixk1JRLwWVM/xr6BBK2xHCvqMpf9XFO/CDoPYwe7MQ2LyliliIiIiIjIwqA4CvjZz37Gk08+ySc/+Une/e53A/Cud72LRYsW8fd///c8++yzXHfddVWuUkSkdpzqSpOyOQJ1TdUuRSbQFs8xlM3wfHeKVLhAQ+TyFtEyiXoIhvG6juAofBUREREREZk13VMIPPPMMwDceeedF2x/y1veAsDzzz9f8ZpERGpVvvcUfbaR+qh30YJ2UjvWNowRD3o8caKesfzl/bgvjh5ow+s6grW2zBWKiIiIiIjMfwpfgd/7vd/j+9//PrFY7ILtAwMDAAQCahAWEYHTC20dPIpnAjTWBatdjkzBMXBF0wgAj59oIHuZC3CZhnbIpLFDveUsT0REREREZEFQ+ArU19ezadOmi7Z/+9vfBuCaa66pdEkiIjXJ7z9JVyZB2OSJB71qlyOXEHItW5pHyBQcHj/eQO4yAliTbIRgCK/rcAUqFBERERERmd/mdUtnT0/PlPtjsRjxeHzCfd///vf5yU9+wo033shVV11VjvJEROYUay35/c/SFXo9DTGNHJgrYkGfLc0j7OhN8tjxBm5eOkDInXykgDEGp34RXuchAuuvx+h/tIiIiIiIyIzN6/D15ptvnnL/Bz7wAf7wD//wou0/+9nP+PjHP05LSwuf+cxnylWeiMic4vceZ2Qkx1gyzsrISLXLkWlIhDyubB7hpd4kj3Y0cPPSQSIBf9LHm8Z26DmGHezGNLRVsFIREREREZH5ZV6Hr5/+9Ken3D/RqIEf/ehHfPSjHyUej/PlL3+ZxYsXl6s8EZE5w1pLYf+zdMU34BhLfSRf7ZJkmhIhjytbRnipJ8kvOoodsPHgxAFscfRABK/zEI7CVxERERERkRmb1+HrO97xjmk9/jvf+Q5/8id/Ql1dHV//+tfZuHFjmSoTEZlb/J5j2JE+OptvpcHN4+pO9DkpHvTY2jrMS71Jfn6skZuXDlIXLlz0OGMMTmM73qlDBDbciHE0Il5ERERERGQm9G3qtO9///v88R//Mc3NzXzzm99U8CoictqZrtdsajED+ShN0Vy1S5JZiAZ8rmoZJuhYftHRQO9YcMLHOU2LIZ/B7ztR4QpFRERERETmD4WvwIEDB/jEJz5BY2Mj999/P2vWrKl2SSIiNcPvPIQdHaCr/ioM0BjVyIG5LuRarmwZJhH0eOxEAydHwxc/KJbCRJN4J/dXvkAREREREZF5Yl6PHbhcX/ziF8nlcrzmNa/hxRdf5MUXX7xg/4YNG9QJKyILkvV9Cgeew9S1cDLXQF24QNCx1S5LSiDgwObmEfb2J3jqZB3XtQ2zoi5zdr8xBtO0GP/kAWw+hwmGqlitiIiIiIjI3KTwFdi2bRsADz74IA8++OBF+++7774FH77a3Dg2lwVrIRjGicSqXdK0eb4lmy/+EQIuhIMaWilyKd7J/dixYbwNv0ZvZ4g19WPVLklKyDGwsXGUA4Mxnu2qo2ANa+rHz+1vWoJ/fC9e5yECyxb2z0EREREREZGZUPgKPP7449UuoWZZa7GjA+RfehQ73AeAiSQIbH41Tn0bJjDxrMBKy+YtmTx0D1lcx9CSgkgQgoFiwDqWtew6YTnaA76FhjhcsxLqY+Bq5SCRCVmvQOHA8zgN7XT4LQCa9zoPGQNr68dwjeXF7hS+NaxrKIbsJhTB1LXgHd+r8FVERERERGQGFL7KlOz4KLlnHoLCucDFZkbJP/sTQq+8A1PXXMXqijJ5y/ajlqO9Z7YUb4m+eoVhRYul4MGjuy0j5+6mZSAND++0vGGLoTFR8ZJF5gSvYw9kx3DWXUdHb4T6cJ6Qq5ED85ExsKpuHMfAjp4kwNkA1mlZhnfgOfyRfpxkYzXLFBERERERmXO04JZMye86fEHwer7CgWexk+yrpK5Bzgtez3nhqCWdheExLghez/fiUUs2rzBJ5OVsPkfh4PM4LUsZD6ToGw/SEqv++13KxxhYkRpnWXKcHT1JDg5Ei9vrWiEYLobxIiIiIiIiMi0KX2VS1ivg93dOut8f6sUWqrvqeSZv2XNy8vD0YJclnZ18f+8IeH45KhOZ2wqHt4Pv4SxeR8dIBMdo5MBCcCaAXZIY58WeFEeGIhjHwWleinfyQNXP+SIiIiIiInONwleZnONiYslJd5tIHOO4FSzoYtZCtjD5/vEchKcYSxt0i2GDiJxjM2m8oy/htK2CYISjQ1GaIjkC+omxIJwZQbAonuG5rhQnRsI4LcvBy+OdPFDt8kREREREROYUfZWWSRljcKdYYCWw5mpMKFLBiiaowYWWyfNh2usN9fHJ09V1iyCsycciF8jv+xU4Lk77KvozQUbzAdri2WqXJRV0ZhGulmiObafq6PVSmIY2vGM7sVajWkRERERERC6XwleZkokkCG59Hbysw9VdeSVOQ1t1ijpP0DVcsdRM2L0aDkB7Q/HXV6y++AFNSVjdZnActb6KnOEP9eCfOoCzZD3GDXJkKErY9agPT9FiLvOSMbC+MU0qXODJk/WMNGzApofwe09UuzQREREREZE5Qz1/MiUTCOK0riD06lZsegA8D5NsxISimGCo2uUBkIjALZsNzx22DKSL2xbVw9UrDPFwMVhd1mRpTho6By3ZAiyqNyTCEAkpeBU5w1pLfvdTmGgSp2Upec9wfCTMkmRG4zkWKMfApqYRdvSkeHJwJa+J7cMc2YHbsrTapYmIiIiIiMwJCl/lkowbKM5+nWL+azW5jqExAa/ZCDkPDBAKQChwLi0KuIZkFJJRJUgik/FPHcQOdeNuuAFjHI4OR/CtYZFGDixoAQc2N4/wQneKpyKv49X9/z+Cw704qeZqlyYiIiIiIlLzNHZA5o1w0JCMGBIRc0HwKiKXZvM58nufwWlYhJNqxlo4NBijKZoj7GrG50IXci2bm0cZ98P8KnEruQPbq12SiIiIiIjInKDwVUREKBx4Fgo5nGWbAOhMhxjNB1icUNerFMWDHpuaRulz23hhtB1vuL/aJYmIiIiIiNQ8ha8iIgucP9SDd2wXzpJ1mHAUgP0DcZKhAqmQFtqSc+ojBdbWp+kIbWD33r5qlyMiIiIiIlLzFL6KiCxg1vfIv/RLTCyF07YSgP7xAL3jIZYkxrXQllxkUSLH0mAvu701HOsYqnY5IiIiIiIiNU3hq4jIAlY49CJ2dBB31VaMKf5I2NOfIBbwaI7mq1yd1KoVLYZmv4ttJ2L0DPvVLkdERERERKRmKXwVEVmg/KEevIMv4Cxeg4mlgGLXa2c6zLKUul5lco5jWNeQJlEY5PE9HsPjWpRNRERERERkIgpfRUQWIFvIk9/+8+K4gfa1xW0WdvYmiAUKtERzVa5Qap2bqGdj4CDBwji/3O0znlMAKyIiIiIi8nIKX0VEFhhrLfldT2Azadw1V2Gc4o+CznSInvEwK+vU9SqXZgyEWpewMfMrCvkCj+625AoKYEVERERERM6n8FVEZIHxju/FP3UAd8UWTCRR3ObD9p4k9eE8jRHNepXLY0JRoo1NbEo/xVjW57E9loKnAFZEREREROQMha9SVjafxU8P4nUfwxvowh8fxVp9MRepFn+gi8LuJ3FaluM0Lzm7fW9/nLG8y+r6tLpeZVpM42LiIZ9N+RcZHLM8vtfi+TrPi4iIiIiIAASqXYDMX352jMKep/E7D53bGIwQuu5NkGo6u7K6iFSGPzZM7vl/x8TrcJZfcXb7YDbA3v44S5MZ4kGtXC/TYxyDs2gtiWM72BQ7wq6RVTy+1/LqDeA6SvJFRERERGRhU/olZWF9H69jz4XBK0A+Q27b/8OOp6tTmMgCZXPj5J/9CTgO7trrzs559Xz41akUsaDH8tR4lauUucpEojgtK0n27WFzqoeeYfilRhCIiIiIiIgofJXysLkxvKM7J97p5fGHeipbkMgCZnNZctv+FZvPElh/AyYYOrvvxZ4ko/kAGxrTqElRZsPUt+LUtZA49SxXtozQPwo/32XJ5hXAioiIiIjIwqXwVcrD96GQm3S3HRuqYDEiC5fNjpPb9hA2M0pgww2YSOzsvoODUY4MxVhTnyYe9KpYpcwHxoBpW4mJJIgdfYqtbWOMZuBnL1lGxhXAioiIiIjIwqTwVcrDcSESn3x3XUsFixFZmPz0ENmnf4DNjhHYeCMmmjy778RImBe7kyxOZFgUn/xCich0GMfBWbIBEwwROfIkVy9KY20xgD01oABWREREREQWHoWvUhYmHCOw9rqJd0YSmERDZQsSWWC8ng5yTz0IFgKbXnVB8HpyNMwzp+pojuZYXTdWxSplPjKui7N0I8YNEDjwBFe3DJCKwmN7LduP+fi+QlgREREREVk4FL5KWRhjcFuWEdj4Sgicmy9p6hcRuv4tOFN0xYrIzFmvQH7P0+Sf+ykm3lAMXsPFUQPWwqHBKE+drKMpmmNDYxqjOa9SBiYQxFl2BSYcxe57mo3hY6xqgX0ni12wA2kFsCIiIiIisjAEql2AzF8mFMFdthGndQXks+C6EIzghCLVLk1kXvJ6j1PY/SR2fBRn2UactlWY0+lq3je82JXk2EiUxYkMq+vGFLxKWRU7YDdhe47gH93J4oYe6pdeyb6eEP++w7K2zXLFUkM4qL+IIiIiIiIyfyl8lbIyjouJJiCaqHYpIvOWP9hF/sDz2L4TmGQjgc03F993FLtdT6WL811znsP6hlHaNONVKsQ4BtO2CmJ1+F2HiQz/gqsWreFUaiWHexyO9FrWLbKsW6QQVkRERERE5ieFryIic5At5PG7jlDo2I0d6oFIAnfNtZiGNowxWAud6RB7++P0Z0I0hHNsbh4hGvCrXbosQE6yEROrw/Z24J/cxyL3MC3NqzjhLmfvyQB7T1qWN1tWthiak5zt2BYREREREZnrFL6KiMwB1lrs2BB+fyd+Twd+3wnwPUyqCXfttZj6NiyG/kyQU6NhOkYijBdckqECm5tHaAjnNWZAqsq4LqZtJaaxHdt/Err3s9zfy+JEK92R1XQO1HGkxyEShMUNlrZ6Q0sSdcSKiIiIiMicpvBVRKRGWGshn8Vmx7CZNHZ8BJsexh/txw73QSEHGEyiHtO+jsH4CkaJM5ILMHg8wEAmSME6BB2fpmiO9Q2jpMJetf9YIhcwwTCmbRWmZTl2uJ/gSB+L+56m3VpGgs30s4yTPY0c6i4u1hgLetTHIRVzSEYN8TBEQxAJQsBVMCsiIiIiIrVN4WsJWVtcvXl0dLTKlYjI+eLxeMVvY7bWkk6nL+uxzoFf4XQdvPQxw3FsLAVOgI6xFNtHF1/0mCSjxP00Jm3pTkP3tCsXqaQ6MHUQt+DlwStAbowGxsiZKMNuA2P5CGODcHIQwL7s+cXfr2/LsaalcFmvWI3zgYiIiIiILFwKX0voTNDy2te+tsqViMj5nn32WRKJyi76lk6nue666y7rsf/l7a/nd265/oJtmVyenqFRPHt+2NR/7viRHtzFq3B8D2PzZ7dngSzB2ZQuUiXhC35nrCFos4S87Nltvekc0VTLRc/8q7/8PI//69cv61WqcT4QEREREZGFy1hrX95GIjPk+z7d3d3qqhGpMbXe+SoilaOf0SIiIiIiUkkKX0VERERERERERETKwKl2ASIiIiIiIiIiIiLzkcJXERERERERERERkTJQ+CoiIiIiIiIiIiJSBgpfRURERERERERERMpA4auIiIiIiIiIiIhIGSh8FRERERERERERESkDha8iIiIiIiIiIiIiZaDwVURERERERERERKQMFL6KiIiIiIiIiIiIlIHCVxEREREREREREZEyUPgqIiIiIiIiIiIiUgYKX0VERERERERERETKQOGriIiIiIiIiIiISBkofBUREREREREREREpA4WvIiIiIiIiIiIiImWg8FVERERERERERESkDBS+ioiIiIiIiIiIiJSBwlcRERERERERERGRMlD4WkLWWkZHR7HWVrsUEakynQ9EREREREREROFrCaXTaa677jrS6XS1SxGRKtP5QEREREREREQUvoqIiIiIiIiIiIiUgcJXERERERERERERkTJQ+CoiIiIiIiIiIiJSBgpfRURERERERERERMogUO0CRARsdhybG8eODUMoiokmcCLxapclIjXCeh42O4YdGwLPwyTqMeEoJhCqdmkiIiIiIiIyBYWvIlVmM2lyO36O7e88tzEcI3Tdm3GSjVWrS0Rqgy3k8XuPk9/xC/C901sN7qqtBFZuwYQiVa1PREREREREJqexAyJVZAt58vt+dWHwCpAdI/erf8XPjFanMBGpGTYzSv7Fh88LXgEs3uEX8Qe6qlaXiIiIiIiIXJrCV5EqsrkMfufBiXfmxrFjI5UtSERqirUW7/jeSfcXDj2PzWUqWJGIiIiIiIhMh8YOiFSTVwBrJ91tM2MVLEZEao7vYdNDk+6242ms72EqWJJINVlr6R+FdBYSEWiIgzF6B4iIiIhI7VL4KlJNgQC4QfDyE+524qkKFyQitcS4AUxjO/Qen3C/k2rCuPpRLgvD8LjlmQOWgfS5bY0JuHEtJCIKYEVERESkNmnsgEgVmXAMd/XWifelmjGReIUrEpFa47atLF6kmUBg3XWYYLiyBYlUwWDa8shOSzYPVy6DmzcUfx3PwSM7LaOZye8iERERERGpJoWvIlVkHJfA0g24a687L1wxOK0rCF79Bkw4VtX6RKT6TDRJ6Ia3YpKN5zZG4gSvfSMmXl+1ukQqJZu3PLbXEgrA1SuhMWFwHUNjwnD1CnAMPLbXUvAUwIqIiIhI7dG9iiJVZkJRAiuvJLB4DbaQBzeACUUwgVC1SxORGmCMwaSaCL3iNmwuC9aHYBhHnfGyQDx32FLwYOtyCLoXjhcIBQxXLLU8dxhe6rBcvVLjB0RERESktih8FakBxnUhmtSiOSIyKROKYkLRapchUlGnBizH+2HjYogEJ/4pGQ8bVrZYDnTCqlZLXUw/TUVERESkdmjsgIiIiIjUHGst249Z6mLQeon1J5c0QiQEO45p9ICIiIiI1BaFryIiIiJSc471wfA4rG4tjt+YimMMK5rh1CAMpBXAioiIiEjtUPgqIiIiIjXFWsueE5bGBKSilzdGoDUFkSDsPanwVURERERqh8JXEREREakpXUPFrtdljZf/HGMMixvgeD9kcgpgRURERKQ2KHwVERERkZpyoNOSiEBdbHrPa68HAxzuKUdVIiIiIiLTp/BVRERERGpGOmM5NQiL6y896/XlAq6hJQWHuy3WqvtVRERERKpP4auIiIiI1IwjveA60Fo3s+cvqoN0FvpGSluXiIiIiMhMKHyVsrO5DHZ8FD+Txvp+tcsRkTKy2fFz73d1nYnINFlrOdJjaUmC60yv6/WMuhiEg3CsT+cgEREREam+QLULkPnLFvLYkX7ye5/CDvVCIIS7/AoCyzZiIvFqlyciJWTzOfyhbgp7n8GODkAogrvyStzFa3HC0xzaKCILVu8IjGVh3aKZH8MYQ0vS0tEHV6+0ONMcXSAiIiIiUkrqfJWy8Yd7yT3zo2LwClDI4R16gdz2R7DZseoWJyIlY63F7ztO/tmfFINXgFwGb982Cnuexs9lqlugiMwZHX2WcBDqorM7TmsKcgXoGS5NXSIiIiIiM6XwVcrC5sYp7H5y4n0DXfjjoxWuSETKxWbHyO95esJ9fuchyI1XuCIRmYt8W+xWbUlOf6Gtl0tEIBKEE/0aPSAiIiIi1aXwVcrCFvLnOuAm4PedrGA1IlJWhRxM0c3uD/dXsBgRmat6h4vdqq2p2R/LGENTAk72o/nTIiIiIlJVCl+lLIxxwEz+18uEIhWsRkTKaor3OoAJhipUiIjMZcf7LZFgsWu1FJqSMJ6HwXRpjiciIiIiMhMKX6U8QhGc9jWT7DQ4jYsrWo6IlI8JRSZ/T7sBTKKhsgWJyJxjreVEPzQlZj9y4Iy6GAQcODVYksOJiIiIiMyIwlcpC+MGCKy9FhOvu2hfcOtrMZFZrqQhIjXDBMMENr8aIvGX7XAIXn0rJqz3u4hMbSANmTw0J0t3TMcYGuJwakBjB0RERESkegLVLkDmLyeaIPiKt2BH+vF7T2AiMZzWFZhwDOMGq12eiJSQE0sRuuHXscO9+P2dmFgKp2UpJhzHOG61yxORGndqwBJwIBUr7XEbErDvFGTzlnCwNB21IiIiIiLTofBVysqJxCESx21ZdtnPyRcs2QL4PgRdiIRKdwuiiJSPE01ANIHbtrLapcxKLl88B1kLwQBEQzr/iJTbyQFoTBS7VUup8XRDftcQLG8u6aFFRERERC6LwlepKaMZy3OHLV1Dxd9HQ3D1CkNbnSUYUAAiIuU1Mm751SFL70jx9/EwXLuqeCt0wNU5SKQcxnOWwTHYWIZx8OGgIR62dA1ZljfrPSwiIiIilaeZr1IzxrKWn+86F7wCjOfgyf2WvtHq1SUiC0M6a3lk57ngtbgNfrnHMjRWvbpE5ruuweKvDfEpHzZj9fFi56u1mv0qIiIiIpWn8FVqxkC6GLZO5MWjlkxOX5pEpHy6hiBbmHjf9mOWXEHnIJFy6ByyJKMQKtMdLg3x4ueL0UxZDi8iIiIiMiWFr1IzeoYnDzaGx8FT7iEiZWKtpXNw8pPMQBoKXgULElkgiu89aCjxQlvnq4+BAbqHy/caIiIiIiKTUfgqNSMembzjJRQofnESESkHYwzJyOT7oyHQun8ipTeQhrwHDYnyvYbrGJJR6B7SVVwRERERqTyFr1Iz2usnDzfWtxfDDxGRclnRMnm6unGxIRpS+ipSat1D4DqQipb3depi0DOsua8iIiIiUnkKX6VmRENw8waD+7K/lUsaYWWLwajtTETKKBaCV64zOC871axqgfaG6tQkMt91DVnqYuCU+Wd8faw403l4vKwvIyIiIiJykUC1CxA5w3UMLSnLm68yDI1BrlBcJCMShHBQwauIlFfANSyut9x2lWFwrDjjtSEOkVD5FgISWcg839I7Aqtay/9adafnvvaOFP9dRERERKRSFL5KTXEdQzwM8XC1KxGRhch1DXEX4lPMfxWR0ugbAd8Wu1LLzXUMiailZ9iypk0XU0RERESkcjR2QEREREQqrnvYEnQrd8G1Lqq5ryIiIiJSeQpfRURERKTiuodPjwOo0Ez3uhhk8jCWrcjLiYiIiIgACl9FREREpMIKnqV/tDIjB86oixZ/7R2p3GuKiIiIiCh8FREREZGK6h8Fayu7+FUwYIiFoHdEYwdEREREpHIUvk7hE5/4BL/9279d7TJERERE5pWeCs97PSMVVeeriIiIiFSWwtdJPPDAA/zTP/1TtcsQERERmXd6RiBVwXmvZ9TFYHgccgV1v4qIiIhIZSh8fRnP8/jiF7/IJz7xiWqXIiIiIjLv+H5x3uuZGayVlDr9mv2jlX9tEREREVmYAtUuoJZks1ne8Y53sHfvXt7+9rfz5JNPVrskERERkXllIA2eX9l5r2dEQxB0oW8UFtVX/vVFREREZOFR5+t5stkso6OjfP7zn+ezn/0sgYCyaREREZFS6h0Bx0AiUvnXNsaQjEKfFt0SERERkQpRunieRCLBT3/6U4WuIiIiImXSO2JJRcGp8LxXAJvPksgPc3KkjvF/+zbGcTCJBty2lbhL1mOCFV4BTERERETmPXW+nsdxHAWvIiIiImViraV3pDojB7ze4+R3/JzE8BEKJkh60VU4i1YDhsK+X5F99J8odOzBWnXFioiIiEjpKGmUy2KzY9hcBqwPwQgmHMM4yu5LoeBZ8h64BkLByncBiVSDzWeL55RCHoIhTCiCCYRK+hr5gqXgg+tAKKD3lkgtGM1ArnBu4atKsFi8jr34nYdw6lpINa+ELstQYiUNdZniY/JZvON7Kex6HL/nGMErX4cJlvacJCIiIiILk8JXmZL1fexwL/ntP8eOjxQ3BsMEN74Kp2WZvpjMgudbRjOw54SldxQiQdi0GJqSEFYIK/OYzaTJ73oCv+fY6S0Gp301wfU3YCKzb4fLFyzD47DrePHXRAQ2L4VUTCGsSLX1nv4oUcnw1T9xoBi8tq7AaVyEA8QCHgOZICtPh68mGCawait+QxveoRfJPfMjQte9GROJV65QEREREZmX1LooU7KZUXLbfnwueAXIZ8nv+Dn+aH/V6poPBtPwbzssx/pgLAv9o/D4PsvuE5ZcQbc8yvxkc1nyLz16XvAKYPFPHSS/92lsITer4/u+5dQgPLzT0jkEYznoHoZHdllO9BcveohI9fSNWuJhCLiVuRDi95/CO7kfp3kpTuOis9uTIY++8eBFj3fq2whsehU2N178/JNJV6ROEREREZm/FL7KpKy1eKcOgu9NuL+w/zlsPlvhquaHTN7yq0OWicbK7e+EbL7yNYlUgs2N4/ednHCf33kYmx2f1fHH8/Dc4YkD1uePWDKzy3ZFZJZ6RyrX9Wpz4xSO7MBJNmKallywLxkqMJwLUPAvfp6JJglseCW2kCP3q/9XHJEiIiIiIjJDCl9lcr6HHeyedLcdHcB6hQoWNH/kCzA8RcbUO1q5WkQqyeanCjFscQbsLGTzkJ/4ehGeDxld2BCpmlzBMjJemfDVYikc3gHGwSxajXlZo20yVAAMg5mLu18BTCRGYMMN2Ow4ued+qs87IiIiIjJjCl9lco6LSTRMutvEkuC4FSxo/nj5l8CXq9DdmCIVZwLhqR8QmDgIuezjX+K9c6n9IlI+/acvLFYkfO3vxA734ixaiXEv/qwSD3o4xtI/SfgKYCIJ3HWvwI70k3/pl9iJblcREREREbkEha8yKWMM7pL1k6YVgTXX4oQiFa5qfgi60JSYfH/jFPtE5jITjmBSzRPuc5qXYGZ5TgkHiovXTSQ0xT4RKb++EUvQhWiZ1+q01qdwfA8mUY8zyUVkYyARKjAwRfgK4CTqcVdtxe88hHd4eznKFREREZF5TuHrFB5++GHuv//+apdRVSaaIHjtmyBw3jcl4+CuvwFTN3GAIpcWDhquW20ITtA4fPVKo4BI5i0TihK8+hZMsunC7Q2LCFxxMyZ4ic7YS4iG4Ma15qJrRobi9kiZQx8RmVzfKCSjxYu75eR3H4PsOE7L8ikflwwWpux8PcNpbMdpX0Nh/6/weo+XqkwRERERWSAC1S5AaptxAziNiwnddCdkx7C+h4kkMOEoxq2dvz42O47NjWPzOUw4AsFIzXflpqJw65WGjj5L11AxNFq3yJCIVG4VaJFqcKJJQte9ufiezWWK55NQdNZdr1AMdZqSljdtNRzqsgyOQV0U1rQZ4mFwyhT62Nw4NpvB5rOYUOTsPyJSZK2lfxSWNJb5dXwP79QBnLpmTHjq+QbJkMeJUZdMwSESmGDlrfM4S9Zj00Pkt/8c51Vvx0R1i4qIiIiIXJ7aSc+kZhnHKX7JqNEvGv7YMPkXfoYd6T+7zWleSnDzzZhIvIqVTc2YYtC6cTGsXVSc8+o4Cl1lYTDh6CWDkZlyHUMqCluXg2fL/97yx0eK56DhvrPbnKbFBLe8BhOpzfOmSKWNZIqL4ZV73qvfexzyOUzT0ks+trjoFgxkArQnclM+1hiDu/pqCrseI7f9EULXvxXj6AYyEREREbk0fWqUOc1mx8g//+8XBK9Q/PKV3/sMNj/1l6laYIwh6BoFryIl5jjlf2/Z7PhFwSuA33eS/K4nsfls2V5bZC45s9hWsowN4dZavFOHcFJNmNClR5iEXZ+g419y7usZJhjCXXMNdqiHwoFnZ1uuiIiIiCwQCl9lTrPZcezowIT7/M7D2FymwhWJyEJic+MXBa9n+D3HdA4SOa1vxBIPl3esjh3ohNw4prH9sh5vTLH79XLDVwAn0YCzZD3e4e14vSdmWqqIiIiILCAKX2VOs9mxqfaCl69YLSKy8FwyXC3oHCQCxc7Xcna9AnhdRzCx5LRGDiWCHv2ZINZe/us4i1ZjUs3kd/wcmx2ffqEiIiIisqAofJU5bcovWMZA4PK7WUREpmvqubUGAqGK1SJSqzzfMjQGyTLOe7XjI9jRAUz9omk9LxkqkPcdxgqX/5G4OP/1KvB98i89ip1OcisiIiIiC47CV5nTTCiKqWudcJ+zZD0mVOaVPURkQTOhKKZx4rDHaV+NCZe51U9kDhhIg6W84avXfQwCQUyiYVrPS5xddGt6F2tNMIy7ait+73G8Y7um9VwRERERWVgUvsqcZsJRgle9Hqdx8XkbDc7idQTWXItR56uIlJEJRQhueS1O8/krqxuc9jUE11+PUeerCP2j4BiIX3oNrBmxvoffdwKnrgUzzQX2Qq4l7HrTDl8BnPpWnNaVFPY9g/+yhT9FRERERM4IVLsAkdlyogkCV98CuUxxvmIwVBw3kMuSP7QPshmc1mWYRANOOFbtckVknnGiCYJbX1ec/5rPgevijw5SOLobd9FKTDSBCakDVhau/lFLIgKOKc9iW3agE7wCpq5lRs9PhGYWvgI4yzZgR/rIv/gIoVfdgXH10VpERERELqRPiDIvOMEwBIstNbaQwzt5kMLuJ87u947txCSbCF37xmktxCEicjlMMFyc/3jwefxTB89u9468iLNkHcF1119iPqzI/NU/CvVl/NHr9R4vLrQ1w4scyWCBjpEI1hbHxU+HcVzcNVdT2PU4hX3bCG561YxqEBEREZH5S2MHZN6xmbELgtez20f6KBzdifW9KlQlIvOdP9R9QfB6dvuJ/fjDvVWoSKT6snlLOgupMjV/21wGO9yHSc2s6xWKc1896zCSc2f0fBNN4izdiHdsV3H2rIiIiIjIeRS+yrzjdR+ZfF/HnuKtwSIiJWTzWQpHXpp0v3dkBzafq2BFIrVhIF38tVyLbfn9J8EYTKpxxsdIhooXZQezM58T77SuwNS1kH/pUWx2bMbHEREREZH5R+GrzD/ZKcJVL4+xtnK1iMiCYK0PhcnDVVvIFR8jssD0j0LAhUiZ1r/0+05iEg0YZ2ZdqwABxxINzHzuK4AxBnfVVgByOx7F6rOGiIiIiJym8FXmHad12aT7TP0irFumb4AismCZQBinZfmk+53WFZhgqIIVidSG/lFLMlIMJ0vNZkaxY8OYZNOsj5UIFujPzG4pBBMM467aiu07gXd056xrEhEREZH5QeGrzDsmXj/xFzFjCG68AScUrnxRIjKvGcfBXbL+7MJ/FwhGcNvXYox+5MrCYq2lfxSSZZr36vefAsfFJOpnfaxkqMBQNog/y4ZVp64Fp20lhX3bNOtZRERERACFrzIPOZE4oWvfiLvySjjd5WrqFxG68W2YREOVqxOR+cpEE4RufBvOolXFJdONwVm0urgtlqx2eSIVN56DbKGc8147cRL1GGf2H2cTIQ/fGoZzs+t+BXCWbsBEE+S3/xxbyM/6eCIiIiIztWHDBn7t136t7K/z9NNPs2HDBv7rf/2vsz7OU089dfb3x48fZ8OGDbzrXe+abYlVNftPmCI1yETiBNZdh7tiM8ZarBtUx6uIlJUxBhOvI7j5Ndj1NxS3BcOYgEadyMLUf2axrTJ0vtrMKHZ8BNO4riTHSwQLgGUgE6Q+XJjVsYzj4q6+msKux8nveYrQlteUpEYRERGR6brvvvtIJBLVLuOyfPvb3+ZTn/oUn/70p3nlK18JQCqV4r777qO9vb3K1c2OwleZt4zjYiLx4r9XuRYRWThMIKjAVQQYGLWEAxAOlv6nsD/QBY6DideX5HiuA/Ggx2AmAHWzP56JJnCXX4F3ZAde81LcRatmf1ARERGRafrQhz5U7RIuW2/vxSObUqnUnPozTEZjB0RERESk5PpHIVGukQMDncUZ7yUYOXBGIujRnyndhRPTvBTTsIj8zsew46MlO66IiIiIzC0KX0VERESkpKy1DKTLNHIgN45ND2GSpZ3jnggVGM4G8PzSHM8YU5w/7zjkdvwca0t0YBEREak53/3ud7n77ru5/vrrufrqq/kP/+E/8KUvfYlcLgdMPbv0iSeeYMOGDXz0ox89u+2v//qv2bBhA4888gj33nsvW7Zs4TWveQ1f/OIX2bBhA1/4whcmrON3fud32LhxIx0dHcCFM18feeQRNmzYwB/90R9N+NyPfexjbNiwgaeffvrstqeeeor77ruPm2++mS1btnDddddx9913873vfW9m/6Emccstt/DFL34RgI9//ONs2LCB48ePT/jf7cx/mx07dvClL32JW2+9lSuvvJLbbruNf/7nfwbg2Wef5bd/+7e55ppruPnmm/nIRz5CX1/fRa97+PBh/tt/+29n/3y33HILn/70p+nv7y/pn0/hq4iIiIiUVDoLea884as/2A3GYOKlDV+ToQIWw1C2dFO5TCCIu/pq7EAX3qEXS3ZcERERqR1/8zd/wyc/+UnGxsa46667eOc734nnefzFX/wFH/vYx2Z17I9//OMMDAycDVXf8Y53EAwG+dGPfnTRYzs7O9m2bRvXX389y5Ytu2j/a17zGlpaWvi3f/s3MpnMBfuy2Sw//elPWbJkCTfcUFy/4p//+Z+55557eOGFF7jlllu45557ePWrX83OnTv52Mc+xje/+c1Z/dnO9zu/8ztnX/f1r3899913H6lUasrn/PEf/zFf+9rXeM1rXsOdd97JyZMn+e///b/z2c9+lve85z3EYjF+8zd/k5aWFh588MGLFgPbtm0bd911Fz/+8Y+59tprueeee1izZg33338///E//kc6OztL9ufTzFcRERERKamB03fZlyV8HejExFIY1y3pceNBD3N60a3G6OwW3Tqfk2zELl5L4cDzOE1LcOpbS3ZsERERqb7777+fZcuW8b3vfY9gsDjC6MMf/jB33nknP/rRj/jIRz4y42NHIhG+853vEImc+1B1yy238JOf/ITt27ezdevWs9t/+MMf4vs+b3/72yc8ViAQ4G1vextf+9rXePjhh7n99tvP7vvZz37G6Ogo73nPezDGkM/n+dznPkdDQwMPPvggTU1NZx/76KOP8v73v59/+Zd/4d3vfveM/2znu+eeexgZGeGZZ57hDW94A+94xzsAGB4envQ5HR0dPPjggyxevBiATZs28alPfYqvfe1rfPKTnzxbWy6X47bbbuOJJ56gq6uLtrY2crkcH/7wh/F9n+9+97ts2bLl7HH/5V/+hY9+9KN88pOf5P/8n/9Tkj+fOl9FREREpKT605ZIEIKB0i62Zb0CdqQfk6gv6XEBHFOc+zqQLf2Cec7itZh4Hbntj2ALuZIfX0RERKrHWsvAwAAHDx48uy0UCvG1r32Nbdu20dbWNuNj33LLLRcErwB33nknUAxbz/eDH/yAaDTKm9/85kmPd+a5L++c/cEPfoAx5mxw63kef/Inf8Kf/dmfXRC8Arzyla8EKPmt+dP11re+9WzwCnDdddcBUF9ff8GYglAoxJVXXglwdhzDz372M7q7u3nnO995QfAKxf9GV1xxBb/4xS/o6uoqSa3qfBURERGRkuofLdO816EesBaTKO3IgTMSoQL946UPX41xcFdfTWHXY+R3PUFo6+tK/hoiIiJSHb/5m7/J3/7t3/L2t7+dTZs2cdNNN3HzzTfzile84mwn7ExNNT7gxz/+MR/96EdxXZc9e/awb98+7rjjDhKJxKTHW79+PZs3b+bRRx9laGiIuro6BgYGeOyxx7juuutYvnw5UOy4ve222wA4ceIEBw4c4Pjx4xw+fJjnn38eKAa01bRy5coLfh+LxQBYsmQJzssWZY1Gi6vAnpnBu2PHDgCOHj3KX//1X190bN8vzurfvXv3rMLzMxS+ioiIiEjJWGsZTMOypks/drr8oW5MOIYJhkt/cIpzX0+lw+Q9Q9C1JT22icRwl2/GO/wiXssy3PY1JT2+iIiIVMcf/MEfsHLlSv7pn/6J559/nl27dvGVr3yF+vp63v/+9/O+971vxsc+Exqe7/zxAU8++SQ333wzP/jBD4Bzna1Tueuuu/gf/+N/8K//+q/cfffd/PjHPyafz180ruD555/nz/7sz3juueeA4mKiK1as4MYbb+Sll17C2tJ+VpqueDw+4fZw+NKfE8+MM3jkkUd45JFHJn3c4ODgjGp7OYWvIiIiIlIyoxko+JC8+LvCrFgs/mA3Tqq5tAc+TyLkAYbBbICWWL7kxzdNi3GGusnvegKnvg0TnbwzRUREROaOO+64gzvuuIORkRG2bdvGL37xC37wgx/wuc99jtbW1rO3xE8UWI6NjU379e68806+9rWv8dBDD/HqV7+ahx56iPb2dm688cZLPvfXf/3X+cxnPsOPfvQj7r77bn74wx8SiUR4y1vecvYxp06d4r3vfS/WWv7oj/6Im266iZUrVxKJRMhms3z3u9+dds215Exw+/nPf/6C2bflopmvIiIiIlIy/enir4lSjx0YHYJCHso0cgAgFvBwTXHRrXIwxuCs2AKOQ27HL6reMSIiIiKz09XVxV/91V/xve99D4BkMsktt9zCn/zJn/DHf/zHAGzbtu3s+IF0On3RMY4ePTrt1z0zPuDhhx/mqaeeorOzkzvuuOOi2+0nUl9fzy233MKzzz7LSy+9xPPPP8+tt956wbiCn/70p4yNjfG7v/u7vPe972Xjxo1nZ8/u378fmDhIng1jSrtWwFQ2bdoEwIsvvjjh/q985Sv8zd/8Dd3d3SV5PYWvIiIiIlIyA6OWaBCCbmk/QHtDPeAGytotagwkggX6yxS+AphAEHfVVuxAJ97RnWV7HRERESm/eDzOV7/6VT7/+c9ftADVmcWdli1bRlNTE/X19Rw8ePCCsLW/v59vfetbM3rtu+66i8HBQT73uc8BXDQ2YCp33nknnufxyU9+8uyxzncmaD1x4sQF24eGhvj0pz8NQKFQmFHdkwkEijfnn5nLWk633nor9fX1fOtb3zo7VuGMhx9+mM997nN8+9vfpr6+viSvp7EDIiIiIlIy/ekydL0CdqgbJ15X9q6IZKhAXyZU1tdwUs3YtpUU9m/DaV6CU8ZuXhERESmfRCLBhz70If78z/+ct771rbzxjW8klUqxd+9efvnLX7JixQruvvtuXNflne98J3//93/Pu971Lm6//XYKhQI/+clPWLt2LcePH5/2a58ZH7Bz506uueYaVq1addnPPbNo186dO2lra+NVr3rVBftf//rXU19fz3e/+106OzvZsGEDvb29PPzww4yPj5NIJBgZGaFQKJwNTWervb0dgG984xucOnWK3/7t3y7JcSeSSCT4sz/7Mz70oQ/xW7/1W7zuda9j1apVHDlyhEceeYRQKMRnP/tZQqHSfCZU56uIiIiIlMSZxbZKPu81n8WmhyBeV9oDTyARKjBecBkvlPdjsrN0A4Ri5Lf/Ant6RV0RERGZe97//vfz+c9/ntWrV/Pv//7vfP3rX+fw4cO85z3v4bvf/S51dcXPL7//+7/Phz/8YRKJBN/5znd49NFH+c3f/E3+8i//ckave2Z8AEyv6xXOLdoFTDiuoLW1lf/7f/8vr3/963nppZe4//77ee655/i1X/s1vve973HbbbeRz+d5/PHHZ1T7RN7ylrfwtre9jZ6eHr75zW+yb9++kh17Iq997Wt54IEHeMtb3sL27dv5xje+wa5du7jtttt44IEHePWrX12y1zJWw6ZKZnR0lOuuu45nn332glkZIrLw6HwgIgvR8JjlJ9stW5dDQ7x0Hap+33EKh7bjrr0WEyjfSACAbMHhmc56Xrl4kMWJbFlfyx8dxNv9JIG11xBYc01ZX0tEREREqkOdryIiIiJSEmcW20qWeOyAP9SLicTLHrwChFyfkOMzkCn/dC4nUY/TvprCwRfwh/vK/noiIiIiUnma+SoiIiIiJTGQtkRDECjhYlsWiz/Ug1PXUrJjTsWY4uiB/vHyB70AzuK12MFu8i89SuiVd2AuY5ViERERkVo1PDzMN77xjWk950Mf+lCZqqkNNRO+7t27l29+85ucOHGC5cuX8+53v5u1a9de8Jjdu3dz33338bOf/axKVYqIiIjIZAZGS9/1SnoICnmI15f4wJNLhQocH41gbTGMLSfjuLirtlLY9QTe4Rc1fkBERETmtOHhYb74xS9O6zkKXyvg2Wef5Z577mHFihWsW7eOX/7ylzzwwAP87u/+Lh/84AfPPi6Xy3Hy5MkqVioiIiIiE/GtZXAMVjSX+LhDPeC6mEjl5mcnQwUKvsNIziUV9sr+eiZeh7NoFYWDL+C0rcRJNJT9NUVERETKYenSpezdu7faZdSUmghfP//5z/OmN72JP//zP8cYg+/73H///fzFX/wFBw8e5DOf+QyhUKjaZUoV2MwYtpAFDCYUxoRKvHyyiEgZ+fks5DLgexAMY8JRjNEtxTI/jYyD55dp3ms0hXHK3IJ6nkSoAFj6M8GKhK8AzpJ1+INd5F/6JaEb34Ypd8utiIiIiFRETYSve/bs4fd+7/fOfsh0HIf3vOc9XH311Xzwgx/kd37nd/jbv/3bKlcplWS9PP5AN4Wdj2EzowCYRAPBK1+LSTZcMrywuQy2kONsaBtQeC8yX1lrsdkx8DxwHEw4VhMzE/2xYfIvPYYdOFXcEIwQ2HA9butyTLDU92WLVN/A6cW2EiX86229AjY9iNO6onQHvQwBB+JBj/5MkJV1mYq8pnFc3JVX4u15Cq9jN4HlV1TkdUVERESkvKr/7RSIRCKMjY1dtP2qq67iO9/5DiMjI9x9990cPHiwCtVJNdj0MPlnf3I2eAWwowPknvkRdnx08ud5Hv5QD7lnf0Lulw+Q++UD5Hc8ij82XImyRaTCbC6Dd3wPuScfJPfYA+Se+BcKh18shrFV5GfS5Lb9+FzwCpDPUHjpl/j9ndUrTKSMBkYtsVIvtjXSB9Zi4nUlO+blSlZw0a0znGQjTssyCvt+hc2kK/raIiIiIlIeNRG+bt68edJFtJYuXcp3vvMd2tvb+fjHP17hyqQabCFH4cBzgL14p1fAO3UQayfYB9ixIXJP/wg73HtmC373UXLb/h++vsSIzCvW8yh07KGw6wnIjRc3FnJ4B54jv+9ZbD5bvdqG+2CSc05h37aqh8Mi5dCfLm3XKxRHDhAKY0KV7xZPhgoM5wLkvcre/u8s3QiOQ373kxV9XREREREpj5oIX++44w4OHz7M0NDQhPuTySRf/epXufPOO2lvb69wdVJxhTz+2fD0Yrb/FHiFi7efCW2tf26jcfDW3cT45rdwdDDEyQFLOmPx/InDWxGpTdm8ZWjMcrjHcqK/+D4u5LN4h1+c8PH+yX3YXGVuFZ7w9Qe7Jt1nx4axXmVmSIpUim8tg2lIlng0ux3uwYlVvusVIBUqAIaBTGW7X00giLtsE373UbzuoxV9bREREREpvYrNfP3TP/1Ttm7dytvf/vaL9t1+++3cfvvtUz4/GAzyP//n/yxTdVJLrBPARBKTdoaZWB047sXPK+TxBy68ndfb+mZeGGjh5IEzj7e4Dty03tCSsrgVXLxDRGYmk7O8cNTS0Xdum2PglWvDNDYtw3QfnvB5NpOGKtyqDKfPU5MJhqEGZtKKlNLwGPi2xPNec2PYzBimaUnpDjoN0YBPwPj0ZYK0xnMVfW3T2I7pPU5+95M4jYsxgcoGwCIiIiJSOhX79vetb32Lj33sY3ziE5+Y9JZxEQAnFCaw5upJ97vLN024mI4x5sLbEpuWcjTTyMmhC4Naz4fH9lrGK/s9SkRmwNpi6Hp+8ArFkOfJ/Yb88uuAiS+iVDOscBrbJ7xIBOCu3IIJl7g9UKTKziy2lSxh+OoPFe+CmfJiRhkZU525r8XXNrgrNkN2nMKhiTv8RURERGRuqGjrjbWWf/7nf+YP/uAPyOfzl/WcY8eOMTysxZIWGqeuBXfNNVwQqjgugStfi4kmJ3yOCcdwV1559veFJVvY1xOa8LHWQufEUy5EpIZk8rD31CQznoHjo1FMfevFO8Ox4j9VYiJxQq+4DQIXnoOcRatxl6zHGHW+yvwykLbEw5T0jhI71IeJJjDuxBcyKiEVLtCfCVKNvgETieO0r8E7sgN/dLDyBYiIiIhISVT029+6deuIRCL827/9Gx/4wAcYHx+/5HP+7u/+jle+8pUVqE5qiQlFCKy8ktBr/j+CV99K8No3EXr1f8RtWzllN5vbsgynbSUA1g2Rn2KsYjqjDmyRWmctU3appwuBi1dBD4QIXfsmTDXDV8fB1LUSuulOgq94C8GrbyH06v9IYNNNOFWsS6Rc+kdLPHIAiz/Se/H7u8JSoQJ532EkV50A2GlfDaEI+d1P6s4xERERmfM6Ojq47777uOGGG7jhhhv4yEc+Qn9/f9meVysqNvMVYMuWLfzpn/4p/+k//SeeeOIJ7r33Xr70pS9RVzf1B2t92FyYTCBYDFpjqct/TjhG8IpXY1dfjS0YUlEYniTjb0lp3qtIrXMdaEwUg52JtNUZAkuvwy5ahR3uw8TrcFLNEIljTHXf48ZxMNEERBNVrUOk3HzfMjQGqyZoQp+x9DAU8lClkQNnJEMFDJa+8RCp8KWbBkrNOC7u8k14+5/F7z6Ke/oCs4iIiMhcMzAwwHve8x5yuRzve9/78DyPr371q+zdu5cHHniAUGjiO5dn+rxaUtHwFeCaa67h/vvv533vex8vvvgiv/Vbv8U//MM/0NzcXOlSZJ4yoQgmFCEKbHUsj+25OLyPhaFezWciNS8cNGxdDj/fdfH7OBKEpiTFTtJwDJqXVqFCERkaL85hLum81+FecBxMpLoXL1wH4kGPvvEgq+orH74COPVt+HUt5Pc8hdO8FONW/OO7iIiIyKx9/etfp7Ozkx/+8IesWbMGgKuuuop7772X73//+/zGb/xGSZ9XS6oydG7jxo1861vfor29nf379/Oud72Ljo6OapQi81xTAl61zhA970LIonp47SZDLKzOV5G5oD4GN28wxMLntrWl4HVXGOJ6H4tU3cDpzvRSjh3wh3sxsRSmhDNkZyoVLtBbhUW3zucuvwKy43iHt1e1DhEREZGZeuihh7jhhhvOBqgAN910E6tWreKhhx4q+fNqSdVW/Fi+fDnf/va3Wbt2LR0dHbz73e9m//791SpH5qlQwLCkEd6wxfDmrYa3XG24ca0hEan+lzkRuTzBgKG9wXDLZsObryq+j1+53pCM6n0sUgtKvdiW9T3saD+myiMHzqgL5RkrBBjPV2+hPBOJ47StpHB4O3Z8kjksIiIiIuex1tI9ZDnWW/y1miM9h4aG6OjoYPPmzRft27x5Mzt37izp82pNVZdbbmtr45vf/CZbt26lu7ub3/qt3+KFF16oZkkyDxljiIYMqVgxdA0FFNiIzEXRkCEV1ftYpNb0j5Z25IAdHQTfYqYx872cUuECQNW7X53Fa8ENkN/3TFXrEBERkdp3vN/y0POWX+y2PH2g+OtDz1uO91cngO3q6gKKOeDLtbS0MDIywsjISMmeV2uqGr4C1NXV8fWvf51XvepVDA0Nce+99/LYY49VuywRERERuQTv9GJbpR050AOBYHGWcw0IuZZowKN3vLqLORg3gLtkPX7nYfyBrqrWIiIiIrXreL/lyX2W8dyF28dz8OS+6gSw6XQagGg0etG+cLg4X25sbKxkz6s1VQ9fAWKxGF/60pd44xvfyPj4OL/7u7/Lv/7rv1a8jo6ODu677z5uuOEGbrjhBj7ykY/Q399f8TpERERE5oKhMbBA8uLPwzNmh07Pe62hBve6cL7q4SuAaV6KidWR3/NUVW8dFBERkdpkreWFI1N/RnjhSOVHEFzO65kJPvzN9Hm1pibCV4BQKMRf/dVfcdddd5HP5/kv/+W/8N3vfrdirz8wMMB73vMeXnjhBd73vvdx77338vDDD3PvvfeSy+UufQARERGRBaZ/FAyQCF/yoZfFFnLYsWFMvDbmvZ5RFy4wkguQLVT3w70xBmf5JuxwL/6pg1WtRURERGpPzzAXdby+3Hiu+LhKisWKdzRls9mL9p3ZlkgkSva8WhOo1At95jOfIRKZ+p40x3H4X//rf1FXV8c//MM/8KlPfYqmpqaK1Pf1r3+dzs5OfvjDH55dQe2qq67i3nvv5fvf/z6/8Ru/UZE6REREROaK/lFLPAJOqRbbGu4DqJnFts6oC+UB6B0PsSR58Yf/SnKSjfj1beT3/QqnbSXGrdjHeREREalxmXxpH1cqixcvBqCnp+eifd3d3aRSqbNBaymeV2sq1vn69re/ndtuu+2yHvtHf/RH/Of//J+x1tLb21vmyooeeughbrjhhrPBK8BNN93EqlWreOihhypSg4iIiMhcMpAu7WJb/nAfhCKYYPVv8T9fOGCJBDx6xmqjLnfZRsiN4R2dGyv8ioiISGVELnN90Mt9XKmkUimWLl3Kzp0Xf3bZtWsXW7ZsKenzak3NjB14uQ984AN86lOfwnHKX+LQ0BAdHR1s3rz5on2bN2+e8H+yiIiIyEJW8CzD46UOX3txamzkwBn14TzdNRK+mkgcp3UFhUMvYnPj1S5HREREakRLCqKX+LgSDRUfV2lvetObePLJJzl48NzopCeeeILDhw9z++23l/x5taSm71N65zvfySte8Qpeeumlsr5OV1dxxdi2traL9rW0tDAyMsLIyAjJZLKsdYiIiIjMFQPFxWdLttiWzY1Bdgyal5bmgCVWHy7QmY4wXnCIBvxql4PTvha/9ziFgy8Q3PSqapcjIiIiNcAYw9Ur4cl9ky9UdfVKU5VFqt7//vfz4IMPcs899/De976XbDbLV77yFTZv3swdd9wBQEdHB8899xzXXnsty5Ytu+zn1bqa7Xw9Y+3atbz97W8v62uk08VvD9Hoxd8ewuHiChJjY2NlrUFERERkLukfBcdAvESLbflDZ+a9VqEV4zLUhYvD0Wpl9IAJhnDa1+B17MZPV3jVDBEREalZSxsNr1pvLuqAjYbgVesNSxurs4BoY2Mj//iP/8jGjRv5whe+wDe+8Q1uvfVWvvKVrxAKFYvdtm0bH/nIR9i2bdu0nlfrarrztVKsnfyKwBnVuCogIiIiUqsG0pZkpHSfkexwLyaawLhuSY5XaiHXEg8W6B4LsTyVqXY5ADhtK/G7j1LYv43Q1W+odjkiIiJSI5Y2GpY0QM9wcXGtSLA4aqDa2dbq1av58pe/POn+u+66i7vuumvaz6t1Cl/h7Mpo2ezFq9ee2ZZIJCpak4iIiEgt6x+F+nhpjmWxxXmvda2lOWCZ1IfzdKdDWAu1cF3eOC7u4nV4R3bgD/Xg1LVUuyQRERGpEcYYWmtzlP6CU/NjByph8eLFAPT09Fy0r7u7m1QqdTagFREREVnosnlLOlvCxbbGhqGQhxodOXBGQyRPxnMZydVOd65pXoqJJsnv23bpB4uIiIhIxSl8BVKpFEuXLmXnzp0X7du1axdbtmypQlUyGesVsNlxbCFX7VJEZI6zBZ1PRGai1Itt+cN94DiYaG0vbpoKF3CMpStdokG3JWCMwVmyHtt/Cq/3RLXLEREREZGXUfh62pve9CaefPJJDh48eHbbE088weHDh7n99turWJmcYT0Pf3SA/K4nyG17iPzzP8PrO4mfq425ayIyd1gvjz/ST37nL4vnkxcfwRvowuYvHj8jIhfrH4WgC9FgaY7nD/VgYimMUwP38k/BNcWFtzrTtbW4g6lvxSTqKezbdllrGYiIiIhI5Wjm62nvf//7efDBB7nnnnt473vfSzab5Stf+QqbN2/mjjvuqHZ5C44t5LHZMfz+U1DI4zS1g3HIPfUD8L3iY9JD+P0ncde9ArN8EyZQW1+ERKQ2WWvxB7rJP/sToBhS2PQQfu9xAptuwl2yFuOWKFGqMJvPFs+dfScBcJoWY8IxTLB2uvRkfugbLd1iW9b3sKP9OM3LS1BZ+TVG8hwajJH3DUGnNoLOYvfrBry9T+N3HcFdtKraJYmIiIjIaQpfT2tsbOQf//Ef+d//+3/zhS98gUgkwq233spHPvIRQiGFepVk8zm8zoMUdj1xwXaneRnBK15N/qVHL9ju7X8Wd9Eqha8icllsduz0eeTi0KSw5ymc5qWY2NwLX20uQ+HIDrzD2y/Y7q7YTGD11ZhQqYZzykJnraV/FNrrS3S80QHwLabG572e0RDJYzF0p0MsSdZOt7yTasJPNVM48CxO6wqMoxvcRERERGqBwtfzrF69mi9/+cvVLmPBs5nRi4JXAL+3A6e+FVPXjB3qPf8Z2JH+ml+kQ0RqRD4D2bGJ91kfOz4CsdqeOzkRf7T/ouAVwDu6E6d5KW7z0ipUJfPRWBZyhdIttuUP9UIgCOG5sbhpNOATC3icSodrKnwFcJduoLDrcfxTB3GXrKt2OSIiIiKCZr5KDfJO7Jtyn7tozQR7antGnIjUkkucL0pwG3Wl2UIe7/BLk+73Dm/XomJSMn2jxV9LtdiWHe7BxOrm1FuvMZqjczRMrY1XNfE6TEMb+YPPYU+PaRIRERGR6lL4KhVnC3n8sWH80QH88dELFoaw1sdm0pM/N5eBl48XMAaTbChXuSIyz5hgGBNNTLzTcTGRSfZdJpvPnT7HDU55Pisl63vY3Pjk+3MZrKcgRkqjf9QSDUIoUIJ5r/ksdmwEE68rQWWV0xTJk/Md+sZrb0SJu2Q9jI/indhf7VJEREREBI0dkArzx0cp7NuG33UYrIVQhMC6V+C0rsAJRTDGwWlZjt91ZMLnOw2t2NH+C7YFNr4KE5r6VsVcwTKWhaM9lkwBljUZGmIQDc+hNhuRecLzLGM5ON5vGR6D1jpDax3EK/R+NJE4wStfS27b/wPrX7AvsPlmzCxuffbTQxR2P4nfd6L4WtEEgU034TS0lXUutQmEcJqW4A33TrjfaVqiudhSMn2jpex67QOYM/Nez0iGCoRcn5OjYZpj+WqXcwETTeI0tlM4+Dzu4rUYVx/3RURERKpJn8akYmx2jPzz/44d6Tu3MZehsPMxAsZgFq/DGIPb2E4hHLt4JqMxBNZeh9d9FFPXgokkCKy6snirYmDyv8q5guVgl+WljnPbjvVaUlF4zUaIKYAVqRjft3SPwON77dnbdY/1WUIBeP0VkIpVKIBNtRB69Z14x3bjD/VgYikCK6/ExFIY153RMe34KLltP77g3GXHR8k/91NCN7wV07CoVOVfxDgO7tL1eB27oPCyIMgN4i7bNOM/l8j5fN8ymIZVrSU63nAvJhzDBOfWxQFjoCmS4/hohCtbRmtuZIKzeB3+S4/iHd9HYMUV1S5HREREZEHT2AGpGH989MLg9TyFfb/Cng4sTDRB6Ia34rStPDt70SSbCN3w65hEA4E11xC67s0Er/w1nLqWS35hG89xQfB6xvA47O+0eH6NDWwTmcfGc/DkPnvRnMRcAZ45aMnmK/N+NK6LE68nsOGG4vlk8804qSZMYOa3EHuDXZMu5JXf+0xxbEoZmWiS0I1vw2lafG5bQzuhG38dE5vdKAWRMwbHwLeQKkHnq8UWL37MsZEDZzTHcmQKLgOZ2hs9YKIJnKYlFA69gPUK1S5HREREZEFT56tUjJ3kdlgAcuPgnevWcmIpglteg83dAFhMIIgJnfdNz7n8Dq6OvsnDnENdsH4RRMOXfTgRmYXRLHg+BFxoSYFjoG8EMnkYSEO2AOEK5hjGcad1PpnKmVEDE7FDvVivUNalAY0xmEQDwatuweZzgIVgGCeoE5yUTt9I8bpoohR/rcZHIZ+FORq+1p0ePdAxEqExWlujBwCcxWvxdzyK17GHwMot1S5HRERE5CKf+MQnOHLkCPfff/8lH9vR0cFnP/tZnnnmGQBe97rX8dGPfpTGxsZylzlrCl+lYkwkPsVO56IAxARClz2jcDxnGRqDo72WgAMrWwyJCISDhtx5DR+OgaVNkIgYsnnL8T5Q36tI5RQ82LzUkIzCqUGL78OVyw2+Dy8ctVxOI7rnWwpe8f0cLMGCP6Uy5czKcBTjVOZmExMMYxS4Spn0jVqSEXCc2b/3/KEecBxMNFmCyirPGGiJZukYiXBlywgl+E9SUiYSx2leQuHwi7jLNmr2q4iIiNSUBx54gH/6p3/ihhtuuORjBwYGeM973kMul+N973sfnufx1a9+lb179/LAAw8QCtX2CCt9CpOKMclGcIMXdLie4Sxed2Fn6zSM5yxP7rf0jZzbdqjbsroVtiyDJY2Gg12WtjpY12442mPp6LPEQnDtKoPBQln70UTkjFQUjvdZdh4/t62jz9KUgBvWGEJTNKFaa0ln4UCnpWsIQgFY3w5NSYgEq/8edttW4e1/joku6QRWbYUZnuNEaknfKDRMcS11Os7MW67UhYlyaI3lODEapTsdYlEiV+1yLuK0r8HvPYF3fA+BFep+FRERkerzPI+/+7u/44tf/OJlP+frX/86nZ2d/PCHP2TNmjUAXHXVVdx77718//vf5zd+4zfKVW5JzN1PuzLnmEic0Ctug5fNVDT1rQTXXjOjjgxrLcf7uSB4PeNQd3GuayoKSxthVavh8b2Wjj4YGYeuIXhyv+VYPxQ89b+KVMJ4Do5NMPq5bxTGchAJTv5eHMnAv+2w7O8svrd7R+CJfZaXjlVuVuxUTCRG8Oo3FDv5z+MsWo27aBWm1lbkEZmmTM4yli3RvFevgB3px8Tm5siBM+JBj3iwwJHh2ry4YiJxnKbFFA5t1+xXERERqbpsNsudd97JX//1X3PHHXfQ1tZ2Wc976KGHuOGGG84GrwA33XQTq1at4qGHHipXuSWjzlepGGMcqGsmfNNd+KMD2Ow4TrIRE4ljwjP70pLNF7vgJnOwy3LDGsOVyw2P7r54kR+AHcdgSQMktBC4SFn5vuVg11QzmC3LmwyRCe4YyRcsLx4tjht4ucM9sHZRZWfFTsS4QZzmpYRu/v+wI33YQg4n1QzhGCYUqW5xIiXQN1r8ta4U4etoP1g7ZxfbOsMYaItlOTwUI1swhAPVvxD0csXZr7/AO76PwIorql2OiIiIVIi1Pv7A6UWBwzGchrZiLlNF2WyW0dFRPv/5z3P77bdzyy23XPI5Q0NDdHR08OY3v/mifZs3b+YXv/hFOUotKYWvUlHGOBBN4EZLs/K2hQnDmDPyXvExng/p7CTHsMUuuoSyEZGy8m3xPTmZgj/5DOZcAToHJ3/uyQFLfbz6naXGdTGxJMTm5gxLkan0jVjCgeI89dnyh3ogFJ4X4zhaYzmODMU4MhxlQ+NYtcu5SLH79czs1w3FhQZFRERkXvO6jpDf/RRk0+c2huMEN70St21l1epKJBL89Kc/JRC4/Diyq6sLYMIu2ZaWFkZGRhgZGSGZrN3vYBo7IHNaKACLGybfv6LZ4F7GChjT/RqZL1jGspbxnMW/nBWCRISAa1jePPm7bUlD8T09oUu8SefiHf2eXzyHjGWtRp/InNA7UpqRAwD+YA9OrG5OvndfLuhammM5Dg3GJrzDphY47WsgO4Z3Yn+1SxEREZEy87qOkH/hZxcGrwDZNPkXfobXdaQqdQE4jjOt4BUgnS7+OaLRiz+IhsPFhYbHxmrvAvj5FL7KnOY6hg2LDcEJmjgSEWg+feEjHIDkJJ2txlz+l0nftwyNWZ4+YPl/L1h+ut2y+4RlPFuj37ZEakxrauIu86BbXBBvsoslIRfap7jQsrhhbiU46axl+1HLT160/OuLlmcPW0bGLbZWkxtZ8DzfMpCGVGz2x7KZseLtb/H62R+sRixOZBgvuJwcDVe7lAmZaAKnsZ3CoRewvl/tckRERKRMrPWLHa9TyO95CmvnzueBy/mOVOvrayh8lTkvHoY3bDGsaIaAU+yc29AOr91kiIWLb8BIyHD9GsNEuc41K81lz4ocycC/77CcGizeQp0rwK4T8NjeYgebiEwtFja8dpNhfXvxvRpwYEVz8T0cnyKzCAYMVy2f+ELL2kUQrfK81+kYy1p+vstyoKs4hsHz4Vgv/OwlO+l4FJFqG0wXf+6VovPVH+oGYzDx1OwPViOSIY+6cJ59/fHa7n7NpPFOHah2KSIiIlImxRmv6akflEkXHzdHxGLFq//Z7MVfls5sSyRKM9qyXDTzVeY8YwzJKFy7CrYsAwxEAuC8LGltiMObthoOdFn6Roqh7YbFhmSkeDv0peQKlu3HLBNNGRgcg6ExiE6wUNBkbCGHzaTxTh3Ejo/itCzHrW/FlGgerkitioUNW5bBunbAng5hL+M9mIjAG680HO0tXgAJBWB9u6E+BqESzKA8w+ZPvzdP7sdmx3DbVmLqmnEipXlvdg7C2AQha94rLiB45XIua1yKSCX1joBjSjMf3R/sxsRS82726NJkhp29SbrHQrTFc9Uu5yImlsLUt+EdehF38dqqL7ghIiIiZZC9zNvvL/dxNWDx4sUA9PT0XLSvu7ubVCp1NqCtVQpfZd4IuIbAFN/jHKcY0m5dDp4HjnN5gc8ZBQ+6hibff7zfsqj+8o5nC3m8rqMUXnr07Db/1EEKkQSh62/H0WI9Ms+5jiE2jYsVULzQEo/AxiXFblfHTO89fDlsIYd38gCFPU+e3eafOoiJpQi+4i04s7w4UvAsHX2Tt8WdGIANi6d3IUekEnpHLKkoOLO8pcv6Hna0D6d5eYkqqx0N4TzJUIFdvQlaY/01Oc/WaV+Dt/sJ/K4juItWV7scERERKbXwZYaQl/u4GpBKpVi6dCk7d+68aN+uXbvYsmVLFaqaHl3ylgXHdQyhoJl2aGNM8RbpyYSm0cBjs+MUXvrlxTsyoxT2bcMW8tOqTWQhcYwhFJj+e/hy2OzYBcHr2e1jwxQOPo/1CrM6vjFMeZEo4MzNxcNkfrPWlmyxLTvSB77FxOtmf7AaYwysSI0xkA1yokZnvzqJekyqmcLBFzRjWkREZB5yGtogHJ/6QZF48XFzyJve9CaefPJJDh48eHbbE088weHDh7n99turWNnlUfgqcpnCAVjdOvn+qVZxfzl/4BQw8Zcev/sINpeZZnUiUgp+d8fk+04dnPV703UM69onP1esazdESjhCQaQURjLFGed1JWiQ8Ae7IRSGUAmS3BrUECnQGMnxUk+SQo2uY+G0r8GODuD3Tn6+ExERkbnJGIfgpldO+ZjgxlfW9Pihjo4OHnzwQTo6zn1Wef/7309dXR333HMP//AP/8Df//3f8/u///ts3ryZO+64o4rVXp7a/a8tUmMcx7B2kZmw82fzUohNp8mlMMUsOGthDq08KDKf2Knem77HZBdNpqMuCqtaLt7emoL2+lkfXqTkeoeLv86289Vi8Qe7cOIN87rDe3XdGJmCw+6+2pzhbpKNmEQDhYMvqvtVRERkHnLbVhK8+g0Xd8BG4gSvfgNu28qq1HW5tm3bxkc+8hG2bdt2dltjYyP/+I//yMaNG/nCF77AN77xDW699Va+8pWvEArV/sw2zXwVmYZY2PBrm4qrPnf0WcIBWNFiiIUhFLj8b5JOY/uk+0yiAROo/ZOHyHzktCzFO/TChPtMfSvGnf17Mxw0XLkcVrfBkR6L5xfPI6kIRELzOJGSOat3xJK4zMUppzQ2ArkstNWXpK5aFQ36LE+Ns38gxqJ4lpZYbY0SMsbgtK/G2/8sdqATM8VnEhEREZmb3LaVOK3L8Qe6iotrhWM4DW011/H68MMPX7Ttrrvu4q677rpo++rVq/nyl79cibJKTuGryDRFQ4ZoCNobZv4l1ITjOC3L8XuOvXwPgU03YcLz83ZMkVrnRFOYhnbswKkLdxhTvD0nVJo5juGgIRyExoTCVql9PcPQcInRYZfDH+wC18VE5/+ikkuTGQYyQZ45VcctK/qJBmrrjhZT14qJJskfepGwwlcREZF5yRgHVz/na0JtRd4i0+TnMvhDPeR3PUnupUfx+k5gs2PVLuuSTDhKYPOrCWy4ESJxMA5OQzuhV74Np66p2uWJLFgmHCW09XW4615RXAHUODhNSwi98g5MohGbz+KP9JPf+wy57b/A6z6Gn0lXu2yRshnLWsZypZv36sTqMM78//hpDGxsGgXgiRP15L3autBypvvV9p3AH+6tdjkiIiIi85o6X2XOsrkM3sEX8I7tPLvNP7EfU99K8KpbcCIlaNMpIyccw6zYjLtoNRaLcQOYYG2ujiyykJhIjMCqKwksXouFs+9Nm89ROL4Xb9+52UP+qQOYeD3B627Didb2OUdkJnpOz3utn2X4anMZbHoI075m9kXNESHXsrlplO29SX55vIGblgwQCdTOjFXT2A4n9lM4tJ3Q1bdUuxwRERGReWv+tx7IvOWPDV0QvAIQDIG1+H0n58QiEsYYTCSGE4kreBWpIcY4mEj8gvemzaYvCF7PsOlBvKMvYT2v0mWKlF3PsCUehuA05ppPxB/qBgwmUV+SuuaKeMjjyuYR0nmXR4410TserHZJZxnj4Cxahd91BD89XO1yREREROYtha8yJ1nfxzu2+9yGQAhvyxsZ3nInBxe9iQ6Wks74eH7tB7AiUjpjWcupAcvu4z7H+y3prC3ZhRiv8/Dk+47vweYzJXkdkVrSPVyikQP9nZhYEuMuvJuuEiGPa1qHCTo+j3Y0su1UipGcW+2yAHCal0IwiHdkR7VLEREREZm3Ft4nYJknLBRyxX91XApX3c4TJ+oZGj/XmWOOw6vXQ2udxXVqa9aaiJTeyLjl57ssmbMLi1uCLrzuCkN9KSYC5LOT7/MKFAqW8TFLOAiRoM45MveNZS3pLKxont1xrFfAjvThtC4vTWFzUDjgs7VlhM50mGPDUTpGojRFcrQnsjTHctSHC1Tjo4pxXJzWlXgn9hFYew0mXIKkXUREREQuoM5XmZOM4+KcnhtnF61l90DqguAVwFp4Yp9lbIq8RETmh2ze8tT+84PXorwHj+21jOdm3/3qtK6YfGfjYg70Bvnpdsujuy3D4+q6l7mvZPNeh3rAWkyiYfZFzWHGQHsiy/Xtg2xoHMUCu/oS/PxYEw/ub+XfjzTyq1Mp9g/E6BsPUqmbd5zWFeA4FI7uvPSDRURERGTa1Pkqc5ZT34aJpci3beDY4Ylv3/MtdA5C0LVEQupEE5mvMnkYHJt433gOMjmIhmb3Gk6iHlPXUgySzmccvFU3sP9IcZbj0Bj8fJfl1i0QC+u8I3NXd6nmvfafwmi2+VmOgdZYjtZYDt/CaM5lNB8gnXcZyAY5PhrBtwbX+LTGcixPZWhPZMvWGWsCQZyW5XjHdhNYdRUmOMuTpYiIiIhcQOGrzFlONEHwFW8hmzVTdodk8pZswRDRdwmRecv3p96fv8T+y2HCMUJXv4HCiX14x3ZBPgdNS/BWvoJnO5PkCucemz0dBseUNckcZa2lawgaZzmyw/oe/nAPTkN7aQqbZxwDqbBHKnxuwT7fQjrvMpgJ0jse4ulT9UQDHhsa06ysGy9LCOu0rcTvOoLXsZvA6qtK/wIiIiIiC5jCV5nTnGiCoOMTD0N6kvEC9XHD8HhpFgwRkdoUCoLrgDdJyBot0QLjJhInsOoq3CXr8X3Y0xXgwKEgee/ixw6mLYsb1Pkqc9Noptg13tA6u+PY4V7wPEyysTSFLQCOgWTIIxnyWJbKMJpzOT4S4YXuJIcGo1y3aJiGSOHSB5oGE4pgmpdQOLoTd8XmBbkwmoiIiEi5aOarzHnRsMNVKyYOOBrixQ602d5uLCK1LRKAjYsn3reqFSIlCl8BjOPgROLk3BgH+yYOXgFSMQWvMnd1D4Nh9hcu/f5TmHAME46WpK6FKBHy2NiU5urWYXxr+PmxRg4MRLElngnrLloFuXG8kwdKe2ARERGRBU7hq8wLTUnLjWsNiUjx964DK1vgiiWGA13FmXUiMn+5rmFNm+HaVeZs0BoKwJZlsGWZmfXMyolEQ5MHvkG3ePFHZK7qGrSkohBwZ/7esb6HP9itrtcSSYY8rmodZnEiy/aeFM93JUsawJpIAtOwiMLh7VhbglktIiIiIgJo7IDME5GgQ2udxTHFL4kWON5v2XHc8ur1hqgW2xKZ98JBw+pWy+J6g2eLt+5GQpw9L5SaMYYVzZDOWg52ndseC8GrNxhi6riXOcq3lu5hWNwwu+MURw4UFL6WkGNgdf0YsWCBAwNx8r7D9e1DJZsD67avobDrcfyuI7iLVpfmoCIiIiILnMJXmTciQUNrnSWbL658vmlxsQMuouBVZMEwxhCtYKd7JGS4cjmsby/Oxwy4xREHuuAjc9nAKOQ9aEzM7jh+30mNHCiTRfEcAceypy/BrzpTXL9omFJcZzLxOkyqmcKhF3HaVmHKdPFKREREZCHR2AGZV0IBQzJqaEkZ6uNGwauIlF3QNSQixfNOQ1yd9jL3dQ5aAg4kIzM/hvUK+INd6noto+Zong2NoxwfibCjZ5ZJ+Xmc9tXYkX78vhMlO6aIiIjIQqbwVURERETO6hwqziyeTdejHeoG38ekmktYmbxcSyzPmvoxDgzGOTRYmg5jk2zCxOsoHHqxJMcTERERWegUvoqIiIgIANm8pX+0BCMHek9ioglMSCteltviRJb2eIYXu5P0jQdnfTxjDE77GuxAJ/5g16WfICIiIiJTUvgqIiIiIgB0DhZ/nU34agtZ/OEedb1W0Or6MZKhAk+frCNbmP3oE1PfBpEEhYPqfhURERGZLYWvIiIiIgLAqUFLMlKcoT5Tft8poHj7ulSGY2Bj0yieNfyqsw5rZ3c8Ywxu+xr83g78kf7SFCkiIiKyQCl8FXkZz7eMZYv/5Aqz/PYiIlKDLjjP5XWekyLft5waLMXIgeOYeD0mEChJXXJ5wq5lfUOarrEwB0sw/9U0tkM4SuHQC7MvTkRERGQB06dikfOMZS17TlqO9IDnQ1sKtq6AZBRcRyuYi8jcN5a17DtlOdRdPM81J+GqFVAXBdfVeW4h6x2BggdNsxk5MD6CHRvGWbKudIXJZWuM5mmPZ3ipN0lbPEcy5M34WMZxcBatxj+6E3/tIE68vnSFioiIiCwg6nwVOW0sa/nFbsvBrmIgAdA1DD97yTKaqW5tIiKlMJ6zPLbXsr/z3HmudwQe3mkZHq9ubVJ9Jwcs4QAkIjM/htdzHNwAJt5QusJkWlbVjRF2fX7VmZr1+AGneSkEI5r9KiIiIjILCl9FTusfZcKQ1bews8OS93RrrojMbUNjxX9ezlp48ZhGrSxk1lpO9BdHDhgzsw5oa338vuM4qRaM7hapGteB9Q1pBjJB9g/EZnUs47g47avxTx3EHxsuUYUiIiIiC4vCVxGKXzo7+iYPHTqHIF+oYEEiImVwsn/y81zPcPGWc1mYBsdgLActqZkfww50QSGPqW8pXWEyI6lwgSWJDLv6Eozm3Fkdy2lZBsEQ3iF1v4qIiIjMhMJXEYpdPpHg5PtDAZhhI5CISM0IT3GeC84un5E57kS/JeBC3SwaJb2eY5hoEhOe/WJPMnsrUuOEHJ/numY3fsA4Ls6iVXgn96v7VURERGQGFL7KvOP7lnTWMpC2DI1ZMpe5kvfK1snT1XWLmDKcFZGFIZsvnlcG0sXzjOfPrdv0lzZNfp5b06bz3EJlraWjt7jQljPTkQOZNHa4D9PQWuLqZKZcB9Y2pOkdD3F0eBaDfAGnZQUEQniHXihNcSIiIiILSKDaBYiUUq5g6eiD7cfs2dtnU1F45brir1PNsYuHYcsyeKnjwu3NSVjebGY8A09E5ofhcctT++3ZmamuA5uXwsoWCAfnxvkhFoJrVhqeP3JhaFwfhzVtBkdzOhekoTEYzcKqWeSmXvfR4kJbicbSFSaz1hAp0BrLsqMnSXs8SzgwswtGxnVxFq3G69iDu+oqnHhdiSsVERERmb8Uvsq80jsMzx2+8IvF8Dg8stPyxisN8fMaP6znYXNjUMiDGyAYirKmLcDiBjjeZ8l7sKTRkIxAJKRAQmQhG8tafr7Lks2f2+b5sP0YREKworkydfiZNORzYAwmFMGEptfNFgwYVjRbWusMJ/qLf57FDYZkFKI6zy1YHX2WoFsM4WfCegX83uM4dS0YRzdV1ZpVdWP0Z+rY3pPk+vaZjw1wWpfjdx6mcPB5QltfV7oCRUREROY5ha8yb2Rylh0dE3d05D3oGeFs+Gqz4xQ6duEdeQm8AhiDs2gNwfWvIBSLUxdTCCEi5/SPckHwer6XOiytqfKGl7aQxx/oIr/rcciMAmBSzQS3vAaTaJhWZ34wYAgGILVE5zkpjhw42lu8y2OmIwf8vhPgFTANi0pcnZRCyLWsqhtj/0CClXXjtMQmOZldgnFcnMVr8I/uxF+1FSepLmcRERGRy6H2BJk3fFvscp1M70gxmLW+R+HYTryDLxSDVwBr8U8dIL/jF9hcpvzFisic0j86+a26Y1nw/fK+vk0Pkn/uJ2eDVwA73EvumYew520Tma7eERjPQesM7yK3WPzOwzjJJkwwVNripGTaYjlSoTzPd6XwZnG+cpqXQThGYf+zpStOREREZJ5T+DqBY8eOsXXrVp5++ulqlyLTYAzEwpPvP9PNajNjxY7XCfj9p7DZKRJcEVmQpuqGDwehnKNSbT5LYf+vJt5ZyOF3HS3fi8u8d7TXEglCXXRmz7cDXdjsGDSq67WWGQNrG8ZI5132D8xwvgRgHAd38Tr8nmP4A10lrFBERERk/lL4+jLDw8N88IMfJJvNVrsUmaZoyHDFJLfROgba60//ppAD35v0OHZ8pPTFicic1pyEwCQ/MTctNkTK2PBnvQL+cO+k+/3+k9gpzmkikyl4lo5eaKubekHKyVgs3qmDmFgSJ5ooQ4VSSvGgx5Jkhj39cUZz7oyPY5oWY2Ip8vuewdqZLeAlIiIispAofD3PwYMHufvuu9m3b1+1S5EZam+ADe1w/lfIUABeu8kQOxOOuMEpj2FCM2z/EZF5KxaG115hCL/s9LGmDZY1zyy4ulzGcTDhyTvVTKwOjH6cy/Qd74eCXwxfZ8IO92PTQ5jGxaUtTMpmeXKckOPzfFeSmeamxhicpRuwg9343eq8FxEREbkULbh12r/8y7/wiU98gmQyyTve8Q4eeOCBapckMxAJGjYtgdVtxTmMrgvRIERD58IREwrjtCzD7+m46PkmkoBIrNJli0iNM8bQELfcusWQyUPBKway4UBxAauyvnYoSmDN1eRffGTC/e7S9WUNf2X+OtRlqY/PfLE47+R+TCSGideXtjApG9eBNfVj7OxL0jESYXlqZnPunboW/LoW8nufwWlZhnFm3kkrIiIiMt+pVea0vXv38ta3vpUf/vCHXHvttdUuR2YhGDAkIobWOkNTwhALmwuCCRMME9h0EybVdOETI3GC170ZJzLzWWgiMn8ZUzyfNCaK55dExJQ9eD3DaVyMu2LLyza6BK+6pXjRSGSahsYsfaOwuH5mz7cjfdiRfkzTEpT9zy2N0TzN0Szbu5NkvZn/z3OXbYTxUbyjO0tYnYiIiMj8o87X0z784Q8TCmmV3oXCiSYIXfsmbHYMPz2MicQx0YSCVxGpSSYUIbDmGtxlG/FH+jFuABOvx4RjGFcdZzJ9BzotoQA0Jaf/XIulcHxfses10Vj64qTs1tSP8WxnHdu7k1zfPjyjY5hoEqd1OYWDL+AuXosJ684hERERkYnM6/C1p6dnyv2xWIx4vBi2KXhdeEw4hgnHcFLN1S5FROSSTDCECYZw4jMc0ClyWq5gOdoLSxvBmclCW0M92NEBnGUb1fU6R4Vcy6r6MfYPJFieytAWz83oOM6S9fj9p8jveZrQVa8vcZUiIiIi88O8Dl9vvvnmKfd/4AMf4A//8A8rVI2IiIhI9R3qAt/C4obpP9dai9exBxNLFhd7kzmrLZajZyzPc10pbl3RR9Cd/gpcJhDEXboB78gOvKUbcJu0+JqIiIjIy83r8PXTn/70lPs3bdpUoUpEREREqs/zLftOWRbVQWgGM4v93mPY8VHclVvU9TrHGQPrGtI811XHjt4E17aNzOw4zUsxfSco7Hoc56Y7Me68/nohIiIiMm3z+tPRO97xjmqXICIiIlIzjnRDtgBLmy792JezhRxex16cumaMZqTPC5GAz6q6MQ4MxlmcyLJoBuMHjDG4K7ZQ2PkYhQPPEdxwQxkqFREREZm7nGoXICIiIiLl5/mW3SctrSmIhabftup17AEspmV56YuTqlkUz9IQzvFsZ4qsN7N2ZhNN4CxZh3fkJfzB7hJXKCIiIjK3KXyVOc33LemsZWjMMpqx5L3pzysTEbkc47niuWZ43JLJ61wjc8+hbhjPwYoZrDNpR/rwe4/jNC/DBIKlL06qxhhY35jGt4ZnO+uwMzy9OYtWYeJ15Lf/HFvIl7ZIERERkTlsXo8dkPktm7cc6bHsOgEFr7htaSNctQJiYQ2iE5HSKHiWvhH41WHLWLa4rT4G16+BuljxlluRWpcvWHYdtyyqn/7PSOsVyB/egYkmMfVt5SlQqirkWtY1pNnVl+TgYJS1DePTPoYxDu7qrRR2Pk5+z5OEtvxaGSoVERERmXvU+Spzku9bjvZYth87F7wCHO+Hx/dZMjl1pYlIaYxk4NE954JXgMExeGSXJZ2d/HkitWT3CUvBg5Uz6Hr1OvZAPoPTvlqLbM1jTdE8SxIZdvQk6RufWXeziSRwl1+Bf2I/3skDJa5QREREZG5S+DqBu+66i71793LjjTdWuxSZRCYPu05MvG8wDWPTXy9CROQi+YJlZ8fEF3MKHhzvs9iZ3qMrUiHD45Z9nbC8CcLB6aWnfv8p/J5jOC0rMKFImSqUWrGyboxkqMBTJ+sYL8zsa4JpXorTtIT8zsfwR/pLXKGIiIjI3KPwVeakvFf8ZzJD079bbkEqeJaRccvekz7bj/l0D1vG1TUsclbBh4H05Pu7h8HzYSxrOdlv2X7U53C3JZ2x+L7eS1J91lp+dcgSCcKypmk+N5OmcGQHJtmIqW8tT4FSUxwDm5pGscBTJ+rx/OkfwxiDs2ILJhIn99y/YXP6UCYiIiILm2a+ypzkOsUFIiZrOIuFKlvPXJQvWI73w68OnfuPuPekpTEON62HqObmiuAYiIaK3fYTqYsVFzD6xW7L+NmOe4tj4Nc2GZqSFkf3aUsV7e+EvhG4ajk4zuX/XbRensL+beAGNW5ggQm5liuaRtnek2JbZx03tg9N+/+/cV3ctddR2P0Euef+jdD1t2Ncfe0QERGRhUmdrzInRYLF2ycnEgpAUndGXtJ4/sLg9Yz+NBzoUteeCBRv0d60ZPLUYXVr8X00/rJRJ76Fx/devF2kkgbTlh3HLEsaoT4+jeDV9yjsfxabz+EuXY9x3DJWKbUoGfLY2DjKydEwL3QnJ73YPRUTjuKuvQ470k/+hYex/gzaaEVERETmAYWvMicFXMOWZYbm5IXbw0F47SZDVJ2vl3Sif/JvUge6Ju/0E1lompOwYfGF2xwDN6w1WAy9IxM/L+9BOlP++kQmkitYnthniYVhVcvlP89ai3fweWx6AGfJes15XcCaonnWNaQ5PBRje09iRgGsk6jHXXstft9x8tsfUQArIiIiC5Lu/5E5KxY2vGpdMSQcGYdICOLh4i3CRvdHXlJmio68whTzdEUWmnDQsGlxsct1MA2OA3XRYgf+yCXC1ZzeS1IFvm95cp8lV4BrVoJ7meMGrPXxDj6HP9SDs2Q9Tix56SfJvLYonsO3aQ4OxvGt4erWkWmPIHDqWmDNtXgHnyP//L8TvPoWjSAQERGRBUWffGROi4QMkRDUx6tdydzT3mA40DVxG0tTojhXV0SKggFDMACJlzUBhgKWUAByhYmfl4qWvzaR8/nW8vQBS88IbF0G0dBlBq9evjhq4HTHq5OoL2+hMmcsTmRxjGX/QJxMweH69iEC0/yM4DS0wbpX4B14jty2HxO65o2YsE6QIiIisjAoXhFZoOpikwdDV600hIPqHha5lGgIti6f+L2yvKnYHStSKZ5veXq/5UQ/XLH48ue82vER8jsfx44N4yzdpOBVLrIonuOKplG6x8L8/Fgjo7npzwF26lpwN9yIHRsm++T38Qe6ylCpiIiISO1R+CqyQEVDhtdsNKxtO9fl2piAWzYb6tWMInJZjDEsaYRXrTNnu2JDAbhyGVy1whAK6CKGVEYmb3l0t+XkAFyxFJr//+z9eXAc6X3f8b+f7rkP3CAIgPd97b2iVqvT0eqwjqy1sRUrkiKtLbmUspNU5Ipip+Kyo6SkWI5jR5bLUVn+Wb7kiqXKT/ptNomute71au/lklwub4IEcZ8zGMzR/fz+aIIkiBkQ12CAwedVtfayG93zUIt+pvvb3+f7bbj9757F4vWfp3jiRxjA3X5EpQakotZ4kbs2TVD0HZ642MKF8dii68A6qSZCh16PCUcp/PRximeew/qqzyIiIiL1TWUHRDawRNRw5/agmZC1EHJRxqvIIkVChi2t0JoG3wdjVHtaVlf/uOWnZyyeD3dug8bEAgKv2TFKl05gM2M4zR2Y9m0YR+/kZX7JsMfdm8Y5O5bkuf5GeiZi3LVpkobowgOoJhLD3f9a/Ktn8M69gN93jtCBB3DbtlRx5CIiIiK1o+CryAbnOoZEtNajEFn/FlpbU2SlTOUtxy5ZLg1DUwIOdN3+BZrNjuFdPYs/2o+JJnC2HVK2qyxKyIH9LVna4wXOjiX47sVWtjVMs78lSyqysCCscRzc7n04zZvxLp2g+Ow3KTVvJrT7HpyWTr28EhERkbqi4KuIiIjIOjI+ZTndZ7k4GJSN2dcJmxsrZ1vbUhF/tA9/qAebGYNIFKdzF6ahfdGd60VmtMSLNMXGuZqJ0jMZ5+JEjM3JAjsac3Qk8gtq3GkSDUEd2LEB/N7TFJ/5v5hkE+6W/bibd2Ji6qgqIiIi65+CryIiIiJrmO9bRrPQPw6XRyzjU0Ft4e1t0NUMIXd2BNV6JZgax58cxZ8YwmZGwVpMshGnay8m3aKgq6wIx0B3Ok9nKs/AVJSrmSj/0NtEyPh0JAtsShRojRdIR7yKv3PGGExzB6ZpE3ZyGH/gEqVXn6Z06ilMQxtO2xac5s04jW2YsJbqiIiIyPqj4OsKste6DmQymRqPRERulkwmV30Jo+YDkbWpVvNBNptdwM/BxLRhquCQKxiyBYfJacPktINvDa5jaYx57G0t0BiexvELlAYLlEoFTDEHhRxMT0EhhwGs40IsCa3d2HgjhCLBBxUK1f0Ly4bUEirQ0jTJVMllJB9jfDrKlUwaMLjGJx0ukAoXSYRKxN0SUdcj6niEXZ+w4+MaC+EkdB+EzXswE8MwOYx/8Tjm3AsA2GgCm2iEWAobS0IkgY3EIBQNfr9DYXDcBY+5FvOBiIiIbDzG2sX2KZVK+vr6ePOb31zrYYjILZ599llSqdSqfqbmA5G1qRbzQSaT4b777rvtz3Vs3ce//M/fKLsvP53FyQ3Rnk4s6DNLvk+hpC7yUlvWCVOMtoK5fQ2C9ktfJzV2ouy+zc0NtDUsrATBP/3cl3nl8sCCfrYW84GIiIhsPAq+riDf9xkYGNBbdJE1phbXpOYDkbVpLWe+isjq0ne0iIiIrAYFX0VERERERERERESqYAF9SEVERERERERERERksRR8FREREREREREREakCBV9FREREREREREREqkDBVxEREREREREREZEqUPBVREREREREREREpAoUfBURERERERERERGpAgVfRURERERERERERKpAwVcRERERERERERGRKlDwVURERERERERERKQKFHwVERERERERERERqQIFX0VERERERERERESqQMFXERERERERERERkSpQ8FVERERERERERESkChR8FREREREREREREakCBV9FREREREREREREqkDBVxEREREREREREZEqUPBVREREREREREREpAoUfBURERERERERERGpAgVfRURERERERERERKpAwdcVZK0lk8lgra31UESkxjQfiMgMzQciIiIiIhuXgq8rKJvNct9995HNZms9FBGpMc0HIjJD84GIiIiIyMal4KuIiIiIiIiIiIhIFSj4KiIiIiIiIiIiIlIFCr6KiIiIiIiIiIiIVIGCryIiIiIiIiIiIiJVEKr1AGTts4U8Np/F678AXgmnYztOvAETjdd6aCKyDlnrY3NZ/NGr2MkRTEM7TnMHJpbEGFPr4YmIrDqbz+HnJvD7L4Ibwu3YgYkmMZForYcmIiIiIsuk4KvMyy/k8S6+jHfuhevbvAvHcFq7Cd3xJpxoonaDE5F1x1qLnRim8PT/Ba94Y0c4QuQ178akW2o3OBGRGvDzU5Re/iH+0OXr27yzz+PuvAt3xx04CsCKiIiIrGsqOyDzm5qYFXid4Q9fCbIzREQWweanKDz/ndmBV4BigeKLT2DzU7UZmIhIjfgDF2cFXmd451+EqYkajEhEREREVpKCr1KR9X1KPScr7vcuHlegREQWJ5+DCvOGzY5jC9OrPCARkdqx+Sm8C8cr7i/1nMT6/iqOSERERERWmsoOyDwsFCsHQmwpD9au4nhEZL2zfmn+H1CQQUQ2EmuD+6lKCtNgfZQvIRKwXgm//wJ+dhyTSONu2oEJR2o9LBERkXkp+CoVGcfF6diJP9hTdr/TtgVCutkRkYUz0QQYU/7FjRsC1TYUkY0kFMFp24Lfe6bsbmfzToyr23URAH+0n8KL3w1W0YSjUMxTCj1F+PAbcDfvrPXwREREKtJrdJmX29qJiaXm7nBcQjvvwoTCqz8oEVm3TCSOu/1I2X3u7nswETXxE5GNw4TChHbeBY47d2cshdvSufqDElmD/NF+Cs/8H0w4RuiONxO++62E7vpHOOkWii8+QannlVoPUUREpCIFX2VeJpYifPRdON37rj8YOG3dRB74x5hEQ41HJyLrjQmFCe24g9Ch10M0CLSaeJrQnW8h1L0P45YJQIiI1DGTaCDywD/Gaeu+tsHB6d5H5Oi7MPEyL8BFNhibz1F4/juYZBPu/qOYWBIAE4nh7L4HZ9M2Sid+gjd0pcYjFRERKU/rmOS2nHia8MHXYXffgwEIhTFhLQ0WkaUx0Tjulv247VuDWoaOG5QjEBHZgIzjYNIthO/8GSgVsQRBJZUbEAkUTz4J1g9WyNySJW6Mwdl2GDs9RfHY93Fe/wgmEqvRSEVERMpT5qssiHFDOPEUJp5S4FVEls0Yg4klMfG0Aq8iIoAJRzHxVHC/pcCrCAD+yFX8/vO42w5WfAYxxuDuvBO8EsVXn17lEYqIiNyegq8iIiIiIiKyplhrKZ5+BpNoxLR0zfuzJhLD2bIP/8qr+OODqzRCERGRhVHwVURERERERNYUO9qHHRvA6d6LMea2P++0b8XE0xRPP7MKoxMREVk4BV9FRERERERkTSldeDkoT9TYvqCfN8bB6dqDHe7FH+2r8uhEREQWTsFXERERERERWTP83CT+4CWcTdsXlPU6wzRvxsTTlM69VMXRiYiILI6CryIiIiIiIrJm+FdOg+NiWuev9XorYwzO5p34Qz34mbHqDE5ERGSRFHwVERERERGRNcFaS6n3NKalE+OGFn28aemEcBTv0vEqjE5ERGTxFHwVERERERGRNcGODUAug9PavaTjjePitG/F6z2DLRVWeHQiIiKLp+CriIiIiIiIrAle33kIRzHpliWfw2nbCl4J7+q5FRyZiIjI0ij4KiIiIiIiIjVnrcXrP4/TvHlRjbZuZaJxTGM73pVXV3B0IiIiS6Pgq4iIiIiIiNScHR+E/FRQt3WZnLYt2PFBNd4SEZGaU/BVREREREREas4bvAShMCbVtOxzmaZN4Ibxes8sf2AiIiLLoOCriIiIiIiI1Jw/cAnT2I4xy39MNY6Lad6M13cWa+0KjE5ERGRpFHwVERERERGRmrK5DDYzitO4acXO6bR2Qi4TlDMQERGpEQVfRUREREREpKa84SsAmMa2FTunSbdCOIrXd27FzikiIrJYCr6KiIiIiIhITfnDVzDJJkwosmLnNMbgNHfg9V9Q6QEREakZBV9FRERERESkZqy1+MO9mIaVy3qdYZo3w3QWOzG04ucWERFZCAVfRUREREREpGbs5DAU85iG1hU/t0m3QCiC139hxc8tIiKyEHUffP2t3/otPvzhDy/oZ3t6evi1X/s1jh49ytGjR/nUpz7FyMhIlUcoIiIiIiKycfkjfWAcTKppxc9tjINpascfuLTi5xYREVmIug6+fvWrX+Xv/u7vFvSzo6OjfOQjH+GFF17gYx/7GI8++ihPPPEEjz76KIVCocojFRERERER2Zj8kauYdDPGcatyfqepA5sdw89OVOX8IiIi8wnVegDV4Hkef/Inf8IXvvCFBR/z5S9/mb6+Ph577DF2794NwF133cWjjz7K17/+dd7//vdXa7giIiIiIiIbkrUWf7QPZ9P2qn2GaWgDx8EfvISTPFK1zxERESmn7jJf8/k873vf+/ijP/ojHn74YTo6OhZ03OOPP87Ro0evB14BHnzwQXbu3Mnjjz9ereGKiIiIiIhsWHZyBEqFoDZrlRg3hEm34g2q9ICIiKy+ugy+ZjIZ/uAP/oDf/d3fJRS6fXLv+Pg4PT09HD58eM6+w4cPc/z48WoMVUREREREZEPzx/rBmKrUe72ZaWzHjvZjSyopJyIiq6vuyg6kUim+9a1vLSjoOqO/vx+gbJZse3s7k5OTTE5Okk6nV2ycIiIiIiIiG50/2o9JNFat3usMp3ET/qUT+MO9uB07qvpZIiIiN6u7zFfHcRYVeAXIZrMAxOPxOfui0SgAU1NTyx+ciIiIiIiIXOeP9mHSzVX/HBNLQCyFP9hT9c8SERG5Wd0FX5fCWnvbnzHGrMJIRERERERENgaby0B+CpOqfvAVwGlswxu6sqDnPxERkZWi4CuQSCSAoF7srWa2pVKpVR2TiIiIiIhIPfPHBwBWLfhqGtogn8Vmx1fl80REREDBVwC6uroAGBwcnLNvYGCAhoaG6wFaERERERERWT5/bBCiCUw4uiqfZ9KtYBz8ocur8nkiIiKg4CsADQ0NbNmyhePHj8/Zd+LECY4cOVKDUYmIiIiIiNQvf2wAk2xctc8zrotJN+MPX1m1zxQREVHw9Zq3v/3tPPnkk5w9e/b6tp/85CecP3+ed73rXTUcmYiIiIiISH2xvoedHMYkm1b1c01DG/5oH9b3VvVzRURk49qQwdeenh6+8Y1v0NNzo9Plxz/+cRobG/noRz/Kn//5n/M//sf/4F/9q3/F4cOHefjhh2s4WhERERERkfpiJ0fA9zCpplX9XNPQCl4JOz635JyIiEg1bMjg69NPP82nPvUpnn766evbWlpa+Ou//msOHDjA5z//ef7iL/6Chx56iC996UtEIpEajlZERERERKS++BNDYAwm0bCqn2sSjRAK4w33rurniojIxhWq9QCq7Yknnpiz7ZFHHuGRRx6Zs33Xrl386Z/+6WoMS0REREREZMOy40OYeBrjuKv6ucYYTLoFf7gX9ty7qp8tIiIb04bMfBUREREREZHa8ccHYRWbbd3MpFux44PYUrEmny8iIhuLgq8iIiIiIiKyaqxXwmbGcGoUfHUaWsH6+GP9Nfl8ERHZWBR8FRERERERkVVjJ4YBG9RfrYVYCsJR/JGrtfl8ERHZUBR8FRERERERkVUTNNtyIJ6uyedfr/uq4KuIiKwCBV9FRERERERk1diJYUwijXFq9zhq0i3YiSHVfRURkaoL1XoAIiIiIiIisnH4E0OYREPVP6fkQ89EnN5MlPF8iILv4BpLMuzRGo6yyRlh82g/ofYtVR+LiIhsXAq+ioiIiIiIyKqwXgmbHcO0dlfvMyxcmoxxbDBFwXNoipZoTxQIOz6+NUyVXC7n0pxNvZP4+Tz7SpZdmyDkmqqNSURENi4FX0VERERERGRV2MlRsLZqma+eD8/1N9AzGac9nmdHY45YyJ87DgvjV67S52/ipYtRXumFI1thZ3tQE1ZERGSlqOariIiIiIiIrAp/chgwmMTKN9sq+fCTK01cycTY35LhQGu2bOAVwBhoSBr2ZJ/l/p0+jQl49pzliZct41N2xccmIiIbl4KvIiIiIiIisirsjTA5cgAA5whJREFU5DAmnsI47oqe17fwVG8TI9MRjrRNsilRuO0xJt4A1hIvjnGwy3D3dpguwXeOWV69arFWQVgREVk+BV9FRERERERkVfgTwxBf+azXY4MpBqYiHGydpDFaWthB0QS4IfzJEQAaE4b7dkBXM7x40fLjU5ZiSQFYERFZHgVfRUREREREpOqs9bGTI5jkytZ7vTwZ5exYkl1NUzTHFhh4JSg9YOIp/MnR69scx7C7w3BkCwxOwHePW7J5BWBFRGTpFHwVERERERGRqrNTE+B7K9psa6ro8Hx/A23xPJ3J/KKPN/E0Njs6p8RAa9pwzw4oluCJly0TOQVgRURkaRR8FRERERERkaqz15b3m/jKBF+thef7GzAG9jRPYcwSThJPg+dBbmLOrkQ0CMC6DnzvuGVSAVgREVkCBV9FRERERESk6vzJEQjHMOHIipzvSiZK/1SUPU1Zws7SAqMmlgRjZpUeuFkkZLhzG7gufP+kJVdQAFZERBZHwVcRERERERGpOjsxgkmsTLOtom94cSBNa6xAa7y45PMYx8HEUthM+eArXAvAbgXfhx+fsni+ArAiIrJwCr6KiIiIiIhI1fmTw5j4ygRfT40kKfoOu5qmln0uE0/hZ0awVA6qRsOGw1tgfAqeO6/gq4iILJyCryIiIiIiIlJVtpCH/NSKNNuaKjqcGU2wJTVNLOQvf3DxNBTyUMjN+2PpuGHvZrgwCJeGFIAVEZGFCdV6ACK3KhQt+RL4FsIuxCNgllQ9X0Rk8fJFS+HaHBQJQSysOUhE1p7pQjBXYSDiQiyieUrWNpu51mxrBcoOHB9KETKWLen5g6ULZeIpAGxmDNOSmPdnOxphJBtkv7Y3QFzXnoiI3IaCr7KmTOYsz5yzDE0Gf46G4e7ths1NlkhINzYiUj3WWiZz8PQ5y0gm2BaPwL07De1pS1hzkIisAZ5vGc3CM2ctk9PBtnQcXrMbmhPgOJqrZG3yJ0fAOBBNLus84/kQPZMxdjdN4a7QOk4TCkMkhj85itPSNf/PGsPeDsvT5+CFC5bX7dM1JyIi81PZAVkzpvKW75+8EXgFyBfhqTOW4cnKx4mIrISpAvz9iRuBV4BcIWisMb4yiTUiIsuWzcP3TtwIvAJM5uB7xy3ZfO3GJXI7NjOKiacwzvIeQY8PJYmFfDYnV/YXPmi6NbKgnw2HDLs74PII9I2p/ICIiMxPwVdZM0ayQaCjnJcuWaaLurERkerpGyNYwlvGsUuWguYgEakxz7e8etViy0xHvoUzferCLmuXPzkS1FZdhpHpEH3ZGNvTOVY6ydvE09hcButVuBm4xaYGaEzACxctfrmLUkRE5BoFX2XNGJqofNMykQNvBWrpi4iUY62lf7zyHDSahZLmIBGpsZLHvKuBhjLBz4isNdbaa5mvywu+nhxKkQh5tCcqZGwsg4mnwVpsdnxhP28MuzcFmecXB1d8OCIiUkcUfJU1IxWr/Po6GtIvq4hUjzGGhnjl/fEILHOVpIjIsjkOJCKV9yeirFgNTJGVZHOT4JWW1WxrJBeifyrK1oYcVemDGY2D62Izows+JB03tDfA8cvKOhcRkcp0eyZrxuYmKi4f2t8FsXkeNkRElmtbW+UnuYPdhlhYDTVEpLbCruFAd+W56ECnIeRqrpK1ZyaguZzM15PD17Je4yuf9QpgzEzd17FFHbe9LSiddkHZryIiUoGCr7JmxCPwhgOG0C2/ldtaYXubwVTlFbeISCARgQf3mTkvgXZ3BC+HRETWgsYE3LkNbp6qjIG7txvS82Twi9SSnRwBNwzh6JKOH52uctbrNSaews+OYll4FmsyGmS/nuq1WNV+FRGRMkK1HoDIDNcxtKctb7/LkMkFjW8aExALQ0QZZyJSZSHXsLnJ8s67DBPTQd3EpgREwxAJaQ4SkbUhcq3LencLjE8F22bul5T1KmuVnxnFJNJLTqZ4ZThJvIpZr9fF0zB0BaanIJZc8GFbW+C5C3B5BLa2Vm94IiKyPin4KmuK4xiSUUgu7aW4iMiyuI4hGYNkrNYjERGpLOQaUi6kNFfJOmEnRzHJhiUdO553uZqNsbc5U9WsVwjKDgDY7ChmEcHXdNzQlLCcvmrZ2qqXICIiMpvKDoiIiIiIiEhVWN/DTo0HWaVLcGokSdT12JSoctYrYFwXInH8RdZ9BehuhuEMjGZUekBERGZT8FVERERERESqwmbHwdolNdvKFFwuT8bYkp6u2Jh3pZl46nqDsMVoTQelis4OKPgqIiKzKfgqIiIiIiIiVTETyFxK8PXVkQRhx9KRzK/0sCoysRQ2l8H63uKOM4bNjXBpCIolBWBFROQGBV9FRERERESkKvzMKERimFB4UcdNFR0uTsTZkp5mNXvJmXgKrIWp8UUf29kEng89Iys/LhERWb8UfBUREREREZGqsJOj1xtZLcbp0SSuY9mcnK7CqOYRjYPjLKnuazRsaE7CBZUeEBGRm4RqPYCV1tPTw+/+7u/y05/+FIC3vOUt/MZv/AYtLS3zHvfzP//zHDt2bM72d7zjHXz+85+vylhlfSoULdNFGM1COASNcYhFgi7pIiILUfKCeWQsC76F5iTEwhAOaR4RWSzv2vU0PgVF79r1FIGIrieRNcHPjOA0tC/qmOmSw/nxOFvSOUKrnC5kjMHEkkuq+wqwuRFO9kJm2pKKaR4SEZE6C76Ojo7ykY98hEKhwMc+9jE8z+PP/uzPOHXqFF/96leJRCJlj7PWcvbsWR566CHe/va3z9rX3d29GkOXdWK6aHnxouXS0I1tjoHX7TN0NFjc1VwTJSLrUrFk6RmG5y5Y7E2JMfu7YH9nkDUjIgtT8ix9Y/DUGYt/0/W0sx2ObIOYrieRmrKlIuQymI6dizru9GgCg6UrtXq1Xm9mYin8zNJqB7SmwXWC2q+HtqzwwEREZF2qq+Drl7/8Zfr6+njsscfYvXs3AHfddRePPvooX//613n/+99f9rjLly8zNTXFW9/6Vh5++OHVHLKsI9ZaLg8zK/AKQdbaT05Z3nGXIR2vzdhEZP3I5OHZ83OXI57qhfY0dDbXYFAi69RUAZ48Pfd6Oj8YBEB2bqrBoETkOpsdC/5lEc228p7h3FicrlSesFOj5fvxFIxcxRamMZHYog51HUNb2nJpyHKwO8ikFRGRja2uar4+/vjjHD169HrgFeDBBx9k586dPP744xWPO3PmDMCs40RuNV2EV3rL3wBa4MqIajuJyPx833Kmr/JcceKKpVDUXCKyUJcGK18vr/Rapgu6nkRqyb+2dN/EF17z9fRoEjB0p1a51utNZmrULrX0QHsDTE7DRG4lRyUiIutV3QRfx8fH6enp4fDhw3P2HT58mOPHj1c89vTp08CN4OvU1FR1BinrmrWQK1TeP1m7+0MRWSc8C9l5VlBOF4KfEZHbs9bO+92bKzCrFIGIrD6bGYNoAuMubMFl3jOcG43TmZwm7NbuAjbhCISj+NnxJR3fnISQAz3DmoRERKSOgq/9/f0AdHR0zNnX3t7O5OQkk5OTZY89ffo0yWSSz372s9xzzz3cc889PPTQQ/Nmy8rG4zrBjVQlHY1aUiQi8ws5QTZMJS0pCLurNx6R9cwYQ0dT5e/emeCHiNSOPzlyPYt0Ic6MJvAxdKdrn9WwnKZbjjG0puHy8AoPSkRE1qW6uSXNZrMAxONzi25Go1GgckbrmTNnyGazTE5O8rnPfY7PfOYzJJNJPvnJT/L1r3+9amOW9SUaNty5rfxDXiwMbQsvZSUiG5Qxhu1thlCZAKsxcGiLIaTGfSIL1tEI0QoJdXduM0TUcEukpmxmdMElB/Ke4cxogq7kNJEaZr3OMLEUdmoca5c2lrb0TOmB2v9dRESktuqm4dZCvhQrFTt///vfj+/7fPCDH7y+7d3vfjfvec97+L3f+z3e+9734rpKRVqrSr6lVAoyU8Oh6j5kNSfhwX2G5y/Y6yUI2hvgvp2GRFQPeCL1zFpLvgSG4GXMUiWj8DOHDM+cs4wG7w1JxeD+XYZUdGXGKlJrxZLF8yEUgpBTve/HZNTwlsPw7DnL0LUFToko3LvD0Jio2seKyALYUgHyU5gFNts6PZLErpGsVyBouuX7kJuExDzLVipoSQbPJ1dGoKG7CuMTEZF1o26Cr4lEcIedz88tpjezLZUq/9b1Ax/4wJxtsViMhx9+mC984QucOXOG/fv3r+BoZSV4viWbh1O9wQNXPAIHu6ApubzAyHzCIUN3S7A0uFgKMtWiYYhUOegrIrWVzVsuDlp6hsExsGczbG6CeGTx174xhqYkvPEAFEpBPelICGJLOJfIWpMvWsaycLI3eEnZlob9XcFLB7dKQdiGuOH1+yB/7XoKh5Z2bYrIyrKLaLaVLxnOjsXpSq2NrFcAE0sABj87hruE4KvjGFqSlt4Ry8FuzUkiIhtZ3QRfu7q6ABgcHJyzb2BggIaGhusB2oVqaWkB1IBrrRrLwvdO2OvNNDLTMDhhOdQN+zqrmwUbjxjikaqdXkTWkGze8vfH7ayGe8+cs7Sm4HX7lh7kiYYN0fAKDVJkDSiWLGf6LCeu3NiWmYZLQ5a3HArqH1ZLJGyI6HoSWVP8zFjwLwsIvr46GjRW2JJaI1mvgHFcTCweNA1r37akc7Sm4ZVeyBWsXgqJiGxgdVPztaGhgS1btnD8+PE5+06cOMGRI0fKHtff38+73/1uvvCFL8zZd/78eQC2bNmysoOVZZsuWp45Z8t2MT5xBaaLqz8mEak/vm852z878DpjOAOjmdUfk8haNV1kVuB1hm+DFxbTxbWRzSYiq8NmRiGaxDjzl2/LlRzOjiXoTuUJr5Gs1xkmlsJmx5Z8fMu1Zr1Xl9a3S0RE6kTdBF8B3v72t/Pkk09y9uzZ69t+8pOfcP78ed71rneVPaajo4OJiQm++tWvksnceIru7e3lf/2v/8VrX/ta2tvbqz52WZxCCSZylffP1FEUEVmOfAkuDVXef27A4pV7CySyAc333TuRC767RWTj8BfYbOvUcBLH2LVT6/VmsRQ2l8F6S5vAwiFDYxyujuleQURkI6ubsgMAH//4x/nGN77BRz/6UX7pl36JfD7Pl770JQ4fPszDDz8MQE9PD8899xz33nsvW7duBeC3f/u3+dVf/VV+8Rd/kV/4hV8gm83yN3/zN4RCIX77t3+7ln8lqeB2i3Yq9FZbc3IFS2YaRjKWRNTQkoJ4OKgRJSJLN5W3TORgfMrSEA8a7yy1Kd5884kxt5+PRDaK2343r8oo1qdZ9wORa/cDEd0PyPpmJ0dxWrvm/Zls0eH8eJztDTlCztoLUM4Ej212HNPQuqRzNKegZzjoV1Gt2tciIrK2rWjw9bvf/S6PPfYYpVKJX/zFX+QNb3gD3/72t/n93/99Ll++THd3Nx//+Mf5+Z//+ZX82OtaWlr467/+az772c/y+c9/nlgsxkMPPcSnPvUpIpGgQOfTTz/Nb/7mb/LZz372evD1oYce4o//+I/54he/yH/9r/+VWCzG0aNH+eQnP8nu3burMlZZnnAoaKw1VibLxgDNyVUf0qJN5S0/fMXelMFrcR144wFDa8rqgUtkiSZzlu+dsDeVH7FEw/Dmg9CYWNx1FQ3DznY4frn8/t0dRteqyDXN8yS4NSeDxnIyl+4HpB7ZYh4KOUx8/mLPJ4ZShB1L1xqq9TpLJA6OG5QeWGLwtTUFFwZhaBI6Gld2eCIisj6s2G3w//k//4dPfvKT3HvvvTQ1NfEv/+W/5N//+3/Pf/yP/5H3ve99fPjDH+a5557jt37rt2hvb+fNb37zSn30LLt27eJP//RPK+5/5JFHeOSRR+Zsf+ihh3jooYeqMiZZebGw4f5d8PfHLZ4/e99d2w2xNd50o+hZXrxo55RO8Hz44SuWd9xpSMZqMzaR9Wy6aPnJq3ZO3ed8EX7yquUthxbXIMsxhh3tcHEoyEq72eZGaFpcH0eRuhYLw93bDS9cnJ295jpw3y5DNKwg4q1KnuXYpXnuB+4yJKO1GZvIcthMUOR0vrIDE3mXnskYu5umcNdoMTxjwMSS2OzSi7Ymo8HLp74xS0ej5kERkY1oxYKvX/rSl/jQhz7Ef/gP/wEIgrGf+tSnePTRR/n1X/91AD74wQ8Sj8f50pe+VLXgq2wcjQl4+x2GcwOWwUlIRGBflyEdg5C7tm9s8kW4MlJ+n+fDeA4FX0WWIF+sXA86Mx3sj0cWd85E1PDmg9A3BheGLK6BPZsNrSmIqXOxyHUh17C93dKSNrzaa5kqQHsadm0yJPSdVtZ0EXrmux/IouCrrEt+ZgwwEKu8HO34UIqY67M5mV+1cS2FiSXxMxUu1IUcbwwtSUvfGNy1feXGJSIi68eKBV/Pnz/Pv/23//b6n9/0pjdRKpV44xvfOOvnHnroIf79v//3K/WxsoE5xpCKw5Gt4JVKuKUceCVMMYw1CYw7f2fVWvItzFfVarpMZ3URub1bM+FvVbrN/koSUcOuDtjSGmTBhG95wWNLJWwhB14REwpDNHHb7s4i9SgSCl5MvGYP+D6EHNUtLceWCtjCNL6fwNrKKX+3ZvGLrBc2MwqxZMXvwpFciKvZGPubM6z5KSKegpGr2MI0JrK0N0nNKei7EpQZWWoNehERWb9WLPgaCoUoFG5EjOLxOADJ5Oy3ndFolFxunjb1IotkClPYM89S6D0D1oIbwt1xhNDWQ5hovNbDKyvkBMszKz1UrYeatSJrUSQUBEdtmbcbBpZdkiQSmvvAZKezFM8+j3/lNFg/mIO2HSK0/TAmqroEsjGFHANrdBlxrfm5DKVX/gF/4BLOHW8jFu6ueD/QpPsBWaf8yZF5Sw4cH0qRDJdoT6z9jAMTm2m6NYaJbF7SOZqv3Q4MjMOOTSs1MhERWS9W7LZ427ZtnDx58vqfXdflRz/6EQcOHJj1c+fOnWPz5qV9aYncyhamKb78o2tBj2vRFq+Ed/YFShdfxnql2g6wgngE7txW/q13WxriWmIosiSxMOyr8BWzqyNooLWS/GKe4skn8S+fCgKvEMxB51+idO4lbGltzkEiUhs2P0XxuW/hD1wELKFLz3NnZ/kl121pSOh+QNYpmxmrGHwdmIowmIuyvSGHWQdJoCYcgXAEPzu25HOEQ0FptL7x+da+iYhIvVqx4OuHP/zh69muM9ra2nBvWfr9zW9+kze96U0r9bGywdlCDn+4fBty7+JxbH5tZlkbY9jcDA/sMSSu1Z90HdjTAa/da4ipKYnIkoRcw74uw53bbnRWD7tBeZJD3WZOuYBlK+SuBVHm8npOYgtTK/t5IrKu+bnJ642IABgfpH3yFV67Pa/7AakbtpCD4jQmnp67z8LxoSTpSImW2Pqpq2FiSWxmbFnnaEpC/zjYcstzRESkri2q7MCnP/1p7rzzTn7u535uzr5y28r5y7/8y8V8pMi8bC5TeafvQWntLmWKhgxb24LMlpIPzrVSBO4qFr7yfMt0IWhQVCgFN4WxMOpILetaLGzY1wlbW4MasK4DsUhQJ3ql2el5gqvWh+LanYNEVpLvW3JFmMwFJXWaEsEqD32fzGYn5zbtcS48R0fDRVq23oNt7sYJuat+PyCykvxrQcpyma992Qij0xGOtE2si6zXGSaWwh/pxWIxLG3gzUnoGYbxKZUUERHZaBYVfP3KV77C3/7t3/Lss8/y6U9/GrOevjGlLt226L27YmWNqyZeo6L7nmcZnISfvGpnNSna0gL37FAXd1nfjDGrslzXhG/zIaG1PweJLJfvW4Yz8KNX7Kymdpub4P5dENf3yXUztSNvZSeGCZ38eyJv+Cc40bnZgiLric2MBgXYo7MjjNbCieEUjZEiTdF1VpYnlgLPg1wGymT0LkRjHBwDAxMKvoqIbDSLLjtgreVrX/sa//pf/2uKxYUtFbl06RITExOLHpzIbUUTFetJOa3dS+5IuhHkivCjU3ZOd/jLI3BxyGpJlMgC2HAck2gsu880b6bkaA6S+pcrwA9Ozg68AvSNwZk+i+fr+2SGk2qGUKT8vq49mMjabBQqshg2M4qJpTDO7EfN3kyU8XyY7Y3ro9brzUw8iJb6mfEln8NxDA0J6FfdVxGRDWfRwde9e/cSi8X49re/zSc+8QlyudvX1PyTP/kTHnjggSUNUGQ+TixJ+N53QGz262OTbiF0+A23z0rbwK6O2rId4QFO9VKx87KI3JAjTuHwQ3Oy2Uyqmek9b2KyqDlI6t9QBirFV8/0Q17fJzfEkkTufyfccn9iWjoJ774Hsw5W7Ijcjj85CrckR1gLJ4eTNEWLNK63rFfAOC4mmsBmR2//w/NoSsDgRLBiQERENo5F3+EdOXKET3/60/zKr/wKP/nJT3j00Uf54he/SGNj+cyfGcqik2pxUk1EXvtebC6Dnc7gJBqCt+1RZY/MZ3K68r58iYqBWRG5oeTDjy40cN/+95A2GZjOQLyBMS/Bs+fi3Lez1iMUqb7sdOUvjJJXOTC7ERljoKGNyOt+Djs1gS3kcFJNmEhC9y1SF6y12MwoTseOWduvZqNMFMLc2b6OV0PGktjs2LJO0ZyEC4MwmoVWVRgREdkwlvR6/Z577uGv/uqv+NjHPsaLL77Ihz70If78z/+ctra2lR6fyII4seS17NeOWg9l3djUYDjbX/6JuDERNCkSkfmFQ1AswY8uxHGdOJFQO4US18t5pFR1QDaA1rQByn+fJKP6PrmVMSYomVShbJLIulbIQakwqyzYTNZr4zrNep1hYin8iSGs72Ecd0nnSMWCOXFgQsFXEZGNZMm3wwcOHOArX/kKnZ2dnD59mg984AP09PSs5NhEpIpaUkEn6nLu2mbUoVpkAWJh2N8V/LvnB7UvZwKv7Q2VrzGRetIQr/yi4c5tRg23RDYQPxMsy785+No/FWE8H2Zr+vbl6tYyE08FkeSpZdR9NYbGBAxOaEmAiMhGsqxchG3btvG3f/u37Nmzh56eHj74wQ9y+vTplRqbiFRRImp4y0FDR8ONbfEIvG6voUXJOCIL4jqG3R2GO7ZC+FoSjDGwvR1eu1svMWRjiEcMbzpg6Gy6sS0ahtfsNmyavyqViNQZmxkF40D0Rj+GUyNJ0pESTes46xWAaBwcBz8ztqzTNCZgaFJ1X0VENpJlV/Xv6Ojgb/7mb/j4xz/OSy+9xIc+9CG++MUvcvfdd6/A8ESkmlJxwwP7uL5MOhIKMvnMemtBK1JD0bBhXydsbQvqW7pOcB2FXF1HsnEkY4bX7glqhnt+8DIiHtH3ichGYydHMfH09Wt/JBdmOBfhYOsk6306MMZgYknsMoOvTQk476vuq4jIRrIiVbgaGxv58pe/zOte9zrGx8d59NFH+dGPfrQSpxaRKouEDKmYoTERLA3Vg7LI4jmOIRkNrqNUzCjwKhtS+Kbvk0RU3yciG5GfGZ1Vz/jV0QTxkEdrrFjDUa0cE0vhZ0eXdY70TXVfRURkY1ixFgiJRIIvfvGLvO1tbyOXy/Ev/sW/4P/9v/+3UqcXERERERGRNcpai80Ema8A2YJLbyZKd2p63We9XhdLQSGPLUwv+RTGGBrjqvsqIrKRrGj/2Ugkwn//7/+dRx55hGKxyK//+q/zP//n/1zJjxApy/oe1lvndaREZN2wvq85R6SGbKmE9f1aD0NEbjadAa90vdnW2bE4YceyKZGv8cBWzszfzWbHlnWe63VfrQKwIiIbwaJqvv6X//JfiMUqtLO9xnEcPvOZz9DY2Mif//mf8zu/8zu0trYua5Aildh8Dj8zinfpJPglnK69OM0dOLHk7Q8WEVkkvzCNzY4Hc05pGqdjJ25r96yuziJSPX4ugz/Ygz94ESJxQtsOYRINmHC01kMT2fD8yWA5vomnKfqGCxNxOpN53BVN96ktE45AOIKfHcNp3rzk8zQmwBuE0YzqvoqIbASLCr7+3M/93IJ/9t/9u39HY2Mjf/iHf8jQ0JDqfsmKs/kcxVeewu87e32bP3QZk2omcu87MHEFYEVk5fiFPN75l/AuHLuxbegKpViKyNF34cT19CRSTf7UBIWn/jcUcte3FXrP4O65l9C2w0FQRERqxmZGwQ1BJMal8Rieb+hM1k/W64yVaLqVjoNjguxXBV9FROpfVd9DfuITn+B3fud3cJw6et0pa4afHZsVeJ1hM6OUrp7GWi1HFJEVNJ2ZFXi9eXvp3IsqQyBSRbZUpPTqM7MCrzO8M89h81M1GJWI3My/Xu/VcG4sQUu8SDRUf/fjJpbGTo1jl1EywDGGhoTqvoqIbBSLynxdil/8xV/k/vvv5+WXX672R8kGYn0fr+dkxf1+zyno3gfRxCqOSkTqmdd3vuI+v/cMdtfdKj8gUi3FafyBCxV3+4M9OKmmVRuOiMxlJ0cw8TTDuTCThRB3tE3UekjVEU+B50FuEhINSz5NYxx6R4NGZVolKiJS36oefAXYs2cPe/bsWY2Pkg3DBjc9lfb6HqiAvYisJH+ezFY1/hGpKmuZ93vdznd9ikjVWd/HZscxLZ2cG4sTD3k0RuvzujSxJGDws2O4ywm+JuDiEIxPQZOqpYmI1DXVA5B1yTgubvfeivvdzTshMn9zOBGRxXA6dlbe175V9SZFqikcwczT3MZt37qKgxGRW9nsGFifYqyZ3kyMzck89ZrMaRwHE0ssu+5rQxzMtbqvIiJS3xR8lXXLNLZj0m1zd4RjuNsPYxx39QclInXLSTTgtG2Zu8MNEdr3GkxIwVeRanHCUcIHHoAy3+1Ox85rmWgiUis2MwpAT6kdC2xK1F+jrZuZePL633mpXMeQjqnuq4jIRrAqZQdEqsGJJYnc+xBe33m8npNY38Pt2Im77RBOQm1DRWRlmWic0JE34g/04F18GVsq4LRtJbTzDozmHJGqM6kmIq/7OUrnX8Qf7sWEo7g778Bt7cZE4rUensiG5k+OYiMxLk6maIkXibh1HlCMpbGjA9hSERMKL/k0jQkYnFDdVxGReqfgq6xrJpbE3X4Yt3MXYCEUw7jKeBWR6nCiCZyt+3E3bQvqT4YjGFdfpSKrwTguJtVE+OCDUCqCYxR0FVkj7OQIE/FuJgphDrfW/zr6mQabNjuKady05PM0xqFnGLJ5SKlimohI3VLZAVn3jDGYaAITTSrwKiKrwkTjmFhCgVeRGjChcHD9KfAqsmb4k8NcdncRcXyaY8VaD6f6wjFwQ/iZ8WWdpiER/P+hiRUYk4iIrFl6apS65PuWQsli/BJhU8K4oTVdj9H6Hjafg1IB3BAmElvT4xXZyIoli28h5Ab12m5lvRK2GNS6M+HoigVobSGHLeSvZdxGcWKJFTmvSK14vqXkgeNA2K3v5ba2WMB6QUDKROIYp7b5D35hGop58P0ggz+a0JJnWTJbzOPnc1yOb6a9jhtt3cyYIPvVZkaWdZ6wa0hGLYOTlh2bNsD/cCIiG5SCr1J3stOWcwOW3lEIuyH2thRpDY0Si4cxicY1lx1r8zlKV17FO/cieEXA4HTsILT/KM61JU0iUnvTRcvIJJy6aimUYHMT7O6AZJTrQQt/aoLSuRfx+84BBqdzF6Gddy2rDrW1FpsZpfjyD7ATwwCYWIrQ4dfjNHUsq9acSC14viWbh1evWoYnIR6BA13QlIBIuL6CD9b3sVPjlF59Bn/4Crgh3C0HCG07WLMmYX52PJhPxgaCDdEE4QMP4LR2Y8J68SuLZzOjDIa6KdgQmxLZWg9n1ZhYCn+0D4vFsPS5qzGhzFcRkXqnsgNSVyZzlu+8bHmlFyZyMJyBf7gU58WRFnLDQ9jsWK2HOIv1PUq9p/FOP3Mt8Apg8fvPU3zxiSAbVkRqLl+0HLtk+fGrlqHJYH559Sp855hlcjr4GX9qksJTj+FfeRW8EnhF/MunKPz0f+Pnll7/zuYyFH76+PXAK4CdzlB89pvY7PKWO4rUwlgWvv2S5fxAcC31j8P3T1rODliKpfpq0mOnxik8+Q38wUvge1DM451/kcKz38SfXv0gVTCf/O8bgVeA/BTFF5/Anxha9fFIffAnRrgc2U0iVCIV8Wo9nNUTTwff97nMsk7TGIdMHqYL9TX/iYjIDQq+St0oeZYTV4KMtFtdHnPJJTspnX3u+nLgtcDmc3jnXii/b3wQm9842QMia9lUAS4Mzt1e9OClS5ZCycfrPQOF6bk/lJ/Cu3oea5f2UOX3nw9KkpRROvMstsI+kbVoumB55lxQuuNWL/dAvsx3+HpliwVKp58Ngq637suMYieXt1x5KbzRvvLzFFB69WlshX0i8ylMjNEX2samxMb6PjLxJGDwM6PLOk/jTN3X+u9TJiKyYSn4KnWjUILLw5X390zEggeg0o0mANZarFfE+v4qjLCMUnHWeG613CL+IrIyekcqB06vjkKxCP7AhYo/4/efxxYX/1BqvRL+yNXK5x0fws4zh4isNQUvyHatZLSO3jlar4g/dLnifu/q2VUcTcAf6a24z04MY706in7LqrmaieCbEO0bLfjquJhYApsZW9Z5omFDLAxDk8p8FRGpV6r5KhuHsWBcrDHg+9jpDF7vWexYHybRiLv1ICaeWt36ia4bVOyvkBFn1FBHZE24bfMQA7iV5w4TCmPKNOe6LcfFJBoqnzeWxDhrq461yLyWmAG+boXCQcS5DBOJrvJgwCSaKu+MJTFGeRmyONb6XPbaSUeyxEI1SmaooZVougVB9uug6r6KiNSturvD6unp4dd+7dc4evQoR48e5VOf+hQjI7f/QlzqcbJ2REKwtbXy/m3pPCbZgAnHsJPDFH7y/8U7+xz+cC9ez0kKP/lf+EOXsd7q1aoykTjO5l3ld0ZimPjSm/SIyMrpaq4cOO1uDpoEhXYcrvgz7vbDmNDiG9kYY3C3Hqh83m2HFn1OkVqxvke4NHV9ie2tDNBcmx5UVWEicdytByvud7v2reJorn1mx/aKb5NCO++CaHyVRyTrXX5ygkG3i7boBi1ZEU9jp6eWXdasIQ5jU1D0NtgLKhGRDaKugq+jo6N85CMf4YUXXuBjH/sYjz76KE888QSPPvoohULlZTBLPU7WlpBrOLTFEC2TfLatuUR8ehB322Eo5Ske+35QIP8WxWPfxxamVmG0ARMKE953P6apY/aOSJzI/T9bs07IIjJbPAK7O+Zuj4Tgjm2GsGtwmjpwNm2f8zPO5p04jZuW/uHRJKHDb4RbMlzdrQehOI2/zOWOIqsmn8N56Vvc1zVFuUTwO7dZYqu4+KTajOMQ2rIfk577ZtjdfQ8mnlr9McVShO95G7izF7853ftwO7ZjbpvmLzJbb38Bi0NbauNlvQLXEyWW29R35qXUiOq+iojUpboqO/DlL3+Zvr4+HnvsMXbv3g3AXXfdxaOPPsrXv/513v/+96/ocbL2pGKGtx6BniHL5REIu5a9bUWa4x7RcAdOLIk/OVq5Q7jvYacmg+6lq8TEUkTufis2P4WfHcdEE5hEChNN6iFIZI2Ihg2HtwRZrqeuBo39upphe5shcW3lsIkmCB96Pf6OO/B7T4MxOF17cBINmMjSs8mMV8If7iV8188EzXC8EibRgD94idKrT+N07sJp3qTlwrLm+dNZbHaU5Nnv8ba9b+LcaIyhqRDxsM/+1mnSCYeQW1/ldkwsSfjet2MzI3hXz2LCMdyuPUGZo3ANyg64Lk5rF5HXP4LNjmNLRZx0MyYSr8l4ZP3rGQ/TYMeIRTdmCRwTjkA4gj85inNrMsUiJCIQdmFw0tLRpPt/EZF6U1fB18cff5yjR49eD6ACPPjgg+zcuZPHH3+8YhB1qcfJ2pSMGvZutuzcBI7jEHZjt/zEbZbzlOlKXG0mGsdE4zgN89RNEJGaioYNHU3QkgbrQygEzk0vSHzfYiIx3Ggct3npD2C3slj8kSv4fWchHAPHgfxNGfqeF0xrelaTtc5ey4wb6yfyzNc40L4dP9mGU8jCS2cJv+ZdQOXgq7UWa8FZSv3kGnJiCYglcNu21HoowLUmQfH0qr5olvpUKFkGS2l2OBeBxloPp2ZMPL3suq/GGBoSliHVfRURqUt1kyYzPj5OT08Phw/Prbl3+PBhjh8/vqLHydpjrSU7bTndZ/mHM3DyCkzloXRr7aRwFKKVCs4ZTHLj3jyKyO2FXUMkbK4HXrN5y/kBy5OnLc+dt4xmLYXSytVsM+EobsfO4A/F6dmBV8Dt3odx6ubrXOqYiaVgJkPbWhi4gHP+GbhyMtheoQFVoWQZzViePR9cZxeHLFN51UUUqbXeUbA4tEZWr2TXWmTiqSCTfJkJHI1xGM4EL3NFRKS+1E3ma39/PwAdHXOzjdrb25mcnGRycpJ0Or0ix8naM5GDvz9uKd5033O6z/LAHkNXs8V1g0CJiSYIH349xee+Pecc7u57l7U8WEQ2lsy05XsnLLmbyoOfG7DctR12tkM4tPwMPeOGcHccwes7HwRfb97X2I5RxrysEyYaI7TvNZROPTVnX/jQg5gyL0YLJcuZPsvxyze29Y5aElF4y0FIxtZXFqxIPekZLJH2xonGNnbJChNvCF4oZcegTI3nhWpMgG9hNAutevQUEakrdZMqk81mAYjH5wbOotHghmBqau5b2aUeJ2tLvmh5+uzswOuMn561TBdv/NkYg9PcSeSBh3Hat0I0gWnaRPjed+BuPYAJ1VG3DxGpmqJnOXZpduB1xosXmTXvLJeTaCDywD/G3X4EYklMopHQgQeI3P1WHDXmk3XCuGHc7r2E739n0GgymsBp6yby2vfitHWXrVucKzAr8DpjKg8nr1hKyhATqYmiZxmYcGgp9WNi9VWredGiCXBd/Mzosk6TioFjYFBNt0RE6k7dZL5ae/ub73LNi5Z6nKwthVLwlrgc3wZZsfGIJV8KXkyH3BCRxjbCd74FSiWs4+JUWO4oIivP2uClSFC/EWLh9TfPFkpwZZ4Sb31jlnR85f5eTiKN2Xs/oR1HwBiIxPX9JOuOCUdxW7txGtqCesWhECYUqfjzV0Yq36ddHIJDWyA0z9d3oWgp+cElEw3PrtMsIkvXNwo+hhY7COGVq3O+HhkT1H31J0ZwO5d+HscYGhOWoQkLXZqrRETqSd0EXxOJ4I1rPp+fs29mWyqVWrHjZG2ZL/El5EIyCscvW872Q8mDTQ1w53ZIx8O4sYj61Iisoumi5cpIkLWWK0BTAu7YBi0piMyzTN9aS7EUPOSsxHL+5bJ2/vZ9JX/lP9O4LrjKdJX1z4SjsICFJqV5Sij681yDJc8ykYMXL1qGJiESgr2bYecmiEcWPn+stXlHZK24PGJJminiEQe90whqWvujfVgsZhlPFg3xa7V0rdULVhGROlI3ZQe6uroAGBwcnLNvYGCAhoaG64HWlThO1pZICBJlMl/SMfiZQ4anzlhe6YXitabg/RPwnZctk7lVH6rIhlYoWY73BI2pZpbrj03BD1+x9I1VXo2QzVtO9Vp+8Irlx69aekct04XaLjcOu0HAuJLNjXpoElmurpbK11FHQ3AdljM2Bd99OQi8QpCpfvwyPHVm4XNHdvqWeWek9vOOyFrg+cF3dkupHxPVC0EAEg3glWBqYlmnaUoEzyvjqnonIlJX6ib42tDQwJYtWzh+/PicfSdOnODIkSMrepysLfGI4d6dsx/QQi7cu9MwNhU8hN3KWnjp4sp2JReR+eWLcG6g/L4XLpavn5qZtnz3ZcuxnqC8yOAE/PiU5YWLluli7a7faNhwzw5TNuOnqxniqmQismypKHQ0zt3uGLhzuymbLT9dtDx/vvzcMDgB2bmLnebITFueOH7LvPOq5fkLCsCKDIwHqzta8pdBdccBMLEkGIM/MU89ogVIx4NM+yHVfRURqSt1E3wFePvb386TTz7J2bNnr2/7yU9+wvnz53nXu9614sfJ2tKehrceMdczYfZthsFJy+BE5Yek/on5lzSKyMqamCfbPF+Ewi3XY8m3vHLFki/TvKpnGLLTKzu+xWpMwNvuMHQ3B/NOKha89Ll3p1mXdWxF1ppYxPCa3Ya7dxiS0eA629ICD91haJjbKxUIvtfLvXSd0T8+f/DU8y2v9NqyTfMuj0BmAcFbkXp2ZdQSD3nE/UwQdBSM42DiKWxmecFX1zE0xJj3+UVERNafuqn5CvDxj3+cb3zjG3z0ox/ll37pl8jn83zpS1/i8OHDPPzwwwD09PTw3HPPce+997J169YFHydrX8g1tKTggX3B23jfh2fPWRrnqRoRqrBcUUSq43bXnHtLvLJQhEvDlX/+4pClNV27IKfrGBoT8Jo9wTJBhyBYJCIrJx4x7OmwbG0x+AQB2PCtk8VNjAkyYyvVg5+vtjQEL4IuDVXef3HQ0lbDeUeklqy19I5AmzuJcRyIVHgLsgGZeAP++MDy674mguxi1X0VEakfdZX52tLSwl//9V9z4MABPv/5z/MXf/EXPPTQQ3zpS18iEgk66T799NN86lOf4umnn17UcbJ+REKGRMTgGBichE3z1F3cvSnofiwiqyMVg1CFb56g4dbizlehROyqC7vBvKPAq0h1GBNcX4mImTfwChANwdbWyvvLlTEQkYUZzkC+BC3eICaaVLOtmyXSUCpCLrOs0zQlgv+NMzVe3SMiIiunrjJfAXbt2sWf/umfVtz/yCOP8Mgjjyz6OFl/wiHobIKro5aD3XDyyuz9jQnYs9ngOrprFFkt8TA8uM/ww1N2VuA0GoLX7DZEb1mqHwkFS4wvVshC296u61dEZgu5hsNbYThj5wQv7t9liN/mvXokHARvL8ztxQrA9jbNO7Jx9Y5Ywi4kc72YREOth7OmmHj6et1XN55e8nka4mAIak2nlVgsIlIX6i74KjIj7Bru3BZ0O97aCq/fbxgYtxQ96Gg0tKYgEdUDlMhqchxDW4PlnXcZekcs47kgO70tDcky12PINRzaAn1jlnxp9r7uliCTVkTkVsmo4c2HYCwDvWOWeAS2thgS0WBemU/IMRzshqtjc+tNdzdDSsEQ2cCujEJL0seMT0FrZ62Hs6YYx8HEUtjJYejYvuTzhFxDKh70rdjVoWcVEZF6oOCr1LVULGjKcX7AcvyypS0NuzqCph1qhiNSG65jSMVgX9fCrsFUzPDWI3Bh0HJlNKgbu29zELDVdSwilSQihkQLdLUsfp5IxQxvPRzUlb48EpRL2depeUc2tslckE2+LREsq1ezrblMYmXqvjbGg8xX1X0VEakPCr5KXTMmCPIc3gJ7O4NmPuHbNNoQkbUnGTMc3AJ7NgfNdG7XMEdEZLmSMcOBbtjdoXlHBKB3NGhm1+gNgetCWGngcyQaYPgKTE0G/75ETQm4PALZvFb5iIjUg7pquCVSieMYYmGjwKvIOuaYoCasAiAislo074jccGXE0pwEJzuKianZVjkmnrpW93V4WedpTAT/f3BiBQYlIiI1p+CrrDvWK2HzOWypsKTjPd9SKFlK/hppky4ii2LttWvYW/41bEvFYD4pLm0+EZG1qViyFEtz5whbzAfXvFcqc5SIVJIvWoYz0JoGPzuOiaVqPaQ1yTgOJpHGLjP4GnIN6RgMTOh5RUSkHqjsgKwb1vOwuQlK549hxwYwsSTurrsw6RacyO3X4/i+JZuHM/2W4UlIRmF/F6RjKkUgsh5Ya5nKBzUYr45BJAT7OoOledFF1mC0XhE7NUnp3IvYiWFMIo276y6cVDMmHK3OX0BEqm6qYOkfg/MDFmOCkgHtDRAjjz8xROnci5DPYZo3E9pxBJNIYxy31sMWWfN6R4P/3xKZhmIeFHytyMQb8Ef7ll2vtTEBA+Oq+yoiUg8UfJV1w04MUnj6/4L1gz9PjeOP9OLuvR+z7RAmFJ73+NEp+N5xy0zC62gWLo9Y7t1p2N5mb9v9WERqKzMNTxy3FG5KWOsbs+zdDIe6IbLAAKy1Fn+0n+Kz3wKCCcFOjeMPXSZ08HW43Xsx7vzziYisPVN5yw9fsUzkbmwbmrS0pSxHu/O4z37z+nY7NU7h6hkiR9+NaWyvwWhF1pfeUUtDHMLTY5S4trxeyks2wtBlyI5BqnnJp2lKBnVfM9OQVnldEZF1TWUHZF2w+SmKL//oeuD1Zt7pZ7GFXJmjbpguWJ4+cyPwerPnL1jyxZUaqYhUQ7FkeenS7MDrjNN9kFvENRzMJz9kJvB6s9IrT2Hz00sfqIjUhLWWKyOzA68zhjKGkVwIc2vzG9+jePzHt72HENnoPN/SPz5TcmAMwtHbJj1sZCaWAjeENz60rPM0xsEQZL+KiMj6puCrrAu2mMdOVbrzsNiJkXmPz5dgskI8xVrKPqyJyNpR8G4seSynd3QRNdGK05CfKr/P+ticuluIrDf5EpwbqLz/3Fgcv237nO12clg1n0Vuo38cPB/aUmAzo8p6vQ1jwCQasBODyzpPyDWk49Cvuq8iIuuegq+yTtxmOfEy6yDplkZkjbvNRWoXdRHfbj7RV6NIvQmmCJUXElmK3hFLIgLxiMVmxxV8XQCTaMRmx7He8pbXNSVhcCLI7hcRkfVLT5iyLphwFFOpZpIxmPT89ZQioaDBVoXDaVAdJZE1LRKCjsbK+7uaFx5UMeFo5QdHx9VDpcg6FA3B/s7K+3c25nCGL87Zbho3qcmeyDystfSOQksKyE4EbzvVbOu2TKoJrMUus/RAcwIKJRirsGBHRETWBwVfpeqstdhSEet7izvO97HTWfzpLLhhwkfeCGU6EocOvA4TmT96Go8YXrPblE2QvWMrxGpQtsp6RfypCUoXj1M89RTe0OXg7yqyjt243ufWZ16OcMhw93ZDqExT8h3tEI8s/FwmliR8x5vLZriGDr8B3Ah+dpzShWMUT/0Ub7gXf3r9PPVYz8O/Nndab3Hzrsh6Y/NTeCNXKb36NN3Zl/nZfRPsap2dadaUsLSlwenYSejwGwntuQ+TaAzuLQ49iInEajT66rBeCVtSMXtZGcOZoKxHWxr8zEiQ9BBN1npYa54JRyASx59YXvC1IQ6OUd1XEZH1LlTrAUh983OT+P0X8QcvQSSOu/0QJtmEc5ssEzudpXTlVbyeV8Ar4WzaRmjX3YRf/0/we07ij/Zh4ilCO+7AJBoXVPS/JQlvu8Nw6qplZBISUTjYbWhMBDWVVpP1SvhDVyi++MT19dLehZcxyUbC970TR5l3ss5Y62NzGbzes9jRqxBPE9p2CBNPBw8gKyAdD67hs/2Wq2MzmW6GljREw4u7hk1DO5HXP4J36QT++CAm0UhoxxGIJvGHeigd+/71n/UuHMOkWwjf+zacNZ7t4+cm8S6ewLt6BqzF7dyNu/0ITiJd66GJrDg7naXwwnex4zfqKoZ4miMHXk+8cydXxsPs7jBsboTo1ASl4d7r9SrdXXfhNHfUVaa7zefwJ0fwLh0Hz8Pp2oPT0ql7ClmW3hFL2A2CgF5vcP0YRyU8FsJJNuKPD2CxmCWWPXEcQ1PC0jdm2d+l/91FRNYrBV+lavzsOIWf/m8o3Oh05fedw91zL2bb4YoBGX86S/G5b2EnbzTR8nvPUOi/SOR1DxPaex94pWB5sLvwX2HXDQKt9+6EkgeuA+FVDrrOsPncrMDr9e3ZcUpnniV88EF1kZV1xU6OUvjp43C9ttlVCldeJXT4DbiduzDu8n+fjTGkYnBkK+zvCjJBIqGlXcPGdTHJRsz+o7PmEz87PivwOsNOjuCdO4Y5cBRTJgN/LfBzmeC/wU0Z9N6lE3j9F4i89j04cQVgpX5Y36N06cSswOv1fa/8mP2v38zurgiRkMW/ep7ise/d2J8ZpfTyD3B33xu8dAmt/4VgNp+j+MqT+H3nr2/zR3r1UleWxVrLlRFoTQEG/MkRnMb2Wg9r/Ug1wWgf5DKwjO/gpiRcGATPt7gKfIuIrEvr/25T1iRbKlA69dNZgdcZ3pnnsJU6jQN2YmhW4PXGgUVK514A3wY1GxcReL1ZyDHEwqZmgVcAf6yvYocg/+o5bHHu/24ia5Ut5Ci+/MObAq83lE78BJvPrejnudeu4aUGXm9mHHfWfOIPXa74s96VUyv+d1kp1lr8/guzAq/X5afwrp7F2pUtBSFSS7YwHayOqcDvP080bLDTUxRfebLsz3jnnscW1uY1vVh+dmxW4HWGzY7jXXl1xUvByMYwmYNMHlrTwPQUlIqQaKj1sNYNE0+D4+CPDSzrPC1J8C0MTazQwEREZNUp+CpVYYt5/MGeivv94fIBDmstXu+ZyscNXMKW8sseX82VCUpfZ33QQ5KsI7aYx04OV9jpYydHV3dAyzBvcNX3Kr40qTVbKuD1na243+87jy3Wwdwpco2xFkqFyj8wcy0X88E/5ViLzU2u/OBWmfX9eQPR3pVX57/vEKngymiwUqwlGWS9AnVVqqPajONgEo34Y/3LOk8iGpRa6htfm/cgIiJyewq+SnXY6/+nvPmCi6F56kO6oSXXTFpLnKbNFfeZ5MJq2IqsGbcJSFq7fpo+OW3dFfeZhlZMaG1W6zHGYJx5xuaEMGUajImsV9YNY+b5LnU2bQv+5Xa/9/NdN+vJfE1NfZ9578lEKrgyYmlJBnVHbWYEE0uu2dI7a5VJNWMzY8tKHjHG0JyEvrGVG5eIiKwuPYlJdYRu81DUWj7AYYwhtOVAxePcLQegDroSm3gK09xZdl/owOsw0cQqj0hk6Uw4iplnGaKTbl3F0SyPk2zENLSV3Rc+8DpMJL7KI1oYE4rgbj9ccb+7/RDmNo0ORdYTJxIlfOAomLkvZE2qGZNqDv49EsUkG8ufJBTBxNZ/13bjOLjd+yrudzfvrIt7J1ldU3nLaDYoOWCx+BNDmLhKDiyWSTUB4I/NrU+9GM0pmMgF/11ERGT9UfBVqsKJxAgffADKvB13OvfM/7CTSONuOzRns0m3EOreh3HW/6+ticaJ3Plm3F13wbUsV5NuIfyad+E0qZGBrC8mmiB0+A1lgyDuzrvWbMCyHBNNELnnIdwdR+BakzDT2Ebk6Hsw6ZYaj25+TtMmnPZtc7e3bcFpKf+yR2Q9M6lmIq99L6ZpU7DBDeFuO0T4vrfjXLvPMNEE4Tvfcv16vnGwIXzXz9TNy07T0IYp1wgpEsPdfkTZirJoV0aCr/XWFEEZj0IekmrcuFgmFMbE09jRvmWdp/nao5OyX0VE1qc6WWsla5FJNRN58OconT+GHe6FSJTQjjtxWjox82RgOJEY7L4Ht3MPpcuvQKmA27UneLCogwyVGSaWJLT7HtytBzHWD5YFR9dPkErkZk5jO5HX/Rylsy/gjw9iYglCu+7GaWzHhOcpJbIGmViS0J77g4CF9cENzztnrRUmmiB8+PX42SN4l08BFrd7P06qqW4CTCI3M24I09hO+J63YbwiFoOJxDHu7ECjSbcQefB9+AMX8Uf7MOkW3M7dmFiqLl7oAjixBOG734o/cAnv0gnwPZzNO3G3HMBJKGAmi3d5xNKchJBr8EZm6r0q83UpTKoZf/gy1istuWFw2DU0xi1Xxyy7OtZ/CTYRkY1GwVepGuM4mGQT4YOvg2IB6zhBYHUBnEgMIjHCjW2ArdtahcZx6yqgLBuXcUNB9vaRN0KpiHVdnHW8zN24LsZdf9emiSZwowmc5qDsiymTjSxSb4J7i1jFivDGOJhEGmfHEey2Q3UTcL2VE0tith7A7dgBWAhHlfEqSzJdsAxNwr5riybs5FBQ79XV79NSmHQzDF7Cjg9ilrESpTkFPcPg+RbX0fe7iMh6Up93n7KmGDeEiSUWHHiddawxdRt4FalHJhQOrvd1HHitB8HcqQczkVvVa+B1hjEGE41jogkFXmXJroyAAdpS1+q9jg/NW9td5mciMUwsgb/M0gOtKfB8GJxYoYGJiMiqqe87UBEREREREVmwnhFLUxLCIQO5DJQKUKlxnSyISbXgjw9gfW/J50hGIRaGq6NquiUist4o+CoiIiIiIiJMFyyDE9B+rVSwPz4IjsHEVTt4OUxDK3gedmxg6ecwhpYUXBkFaxWAFRFZTxR8FRERERERES7PlBy4Kfhq4g11X7Kj2kwkhokn8Ud6l3WetjTkCjA2tUIDExGRVaFvUalL1lr8Qh5bzNd6KCKyCqzv4RemsV6p1kMRkTpkvWJwX7GMJcMi60HPsKX5WskB65WwkyOYZFOth1UXTLoVf2wA6xWXfI7GBIQcuDKizFcRkfUkVOsBiFRii3lsPoc/NgCui9PYjonEMaHwvMf5uQx+/wW8q2fBDRHadginqQMTS6zSyEVktVivhM1NUrpwHDsxhEk2EtpxBybZgAlFajs238Pmp7ATw9hiHqehLegWvYTmgyJSG7aYx89loZTHTgyD4+C0dEJUjQWl/kzlLUOTsL8z+LPNjIC1GNV7XRGmoQ0GLuGPXMVt37akczjG0JKyXBmBI1tXeIAiIlI1Cr7KmmQLOUpnX8S7dPzGRmMIHXgdbuduTLh8UMXPZSj89HGYzlzfVhztw2nbQvjIGzFRBWBF6oW1Fn+sn+Kz34Rrtc/s5DCFvnOE7ngTbscujFubbt/W8/BHr1J8/jtwU6ac5iKR9cOWCnjjg9ihK3gXX561z91zL2w7pACs1JWeYXDMTSUHxgYgEoVIvLYDqxMmFMakmvCHLi85+ArQ3gDHL8NkzpKOmxUcoYiIVIvKDsiqs6UC/tQE/uQIfi6D9f05P+OP9s8OvAJYS+nkT7C5ifLn9T28npOzAq/Xzzd0GT8zuiLjF5G1weanKB77wfXA681KJ36CLdSmIJotTGNzkxSf+/aswCsEc1Hp0smy856IrDybz+FnxvAzo9jpxc0JtpDHFKbnBF4BvDPPYSdHVmqYImvCxSFLaxpCrsESvOB0ks0YxfdWjGlox2bGsLm5zysL1ZwE1wmC5SIisj4o81VWlZ+bpHTySfzBnmBDKIK7+x5CXXuuL8X1C9OUzr1Y8RyliycIH37D3ML/hWm83jMVj/N6XsFp7lTDAJF6UchDvkIwxSthp7Owyt2Z/cwYpXMv4CSbwJYPsHqXTuBuPYCJJVd1bCIbifU97MQwxZd/iM2OAWASDYQOvwGncdOCsuJtPjv/fcWFl3Ea2zDu/OWQRNaD8SnL+BQc3nJtw9RE8D3b0VTLYdUdk2oCN4Q32ENo28ElncN1DK0pS8+w5dAWRcZFRNYDRaFk1djpKYrPfutG4BWgVMA79RRe33nstew1c61OYkXTWbBqeCEia6vZhJ/LUHj6cex0dv6s21KhYmBWRFaGzWUoPP1/rgdeAezUBMVn/m/FFTRlzzPP/YjNZ7Ge7kekPlwYtIRdaEkFf/ZGg54LJt5Q24HVGeM4OA3t+MOXl9XAr70BJnJB0FxERNY+BV9l1fi5iVkPQTcrnX0Om88GfwhFcJo7Kp7HtHaDUyZpOxLD7dxd8Th3y35lvYrUk0gMKtVOdVxMdHUzS/3RPihMY6cmMOm2ij9nkk2YcnOYiKyIoAzRK3PKfgQ7LaXzx7Be6fYniqVwGitfy05z522bgIqsB761XByCTQ1BQycAO3oVk2zGOMqsXGmmeROUivgjV5d8jpYUhFy4NKTgq4jIeqBIlKyaeWujFabh2oOQCYUJ7bqbsgWmQhHczTsxZfYZx8XddhAa2+GWLudOSxdOumU5wxeRNcZEE4SPvHHuXOG4hO5406o3tfJHeoN/yU9hHAeTKF/yILT/KCaq5iUiVeOV8Mf6K+624wNQKt72NE44irv1ADhlShS4oaB8SLl9IutM3xjki9DRGPzZ5jLYXAaje+eqMJFY0Hir/zx2iat4HGNoT8OlIa6vHhQRkbWr7lJvvvKVr/CXf/mX9Pb2sn37dj7xiU/w7ne/+7bHff/73+dXfuVXyu577LHH2Ldv30oPdcMx8VTlnY476wHGJBqJvObdFE/8GHutUZZp6iB8+PUVz5MvWnJ+iond7ybqeCTtJOHel3Hbt+I0b1Z3cZE6Y4zBad5M5HU/R+nCy9ipCbxdR5mOtpIpGBJThmTEEo+uTtaOSTZd//fiqacI3/FmvEsn8AcvAxZiScIHHsBpqpzZLyLlFUuWfAnGssH7lsYExMJBY6A5HBcTT2PHB8uey8RSsICaryYUxo81Er7/ZymdfBI7GXS3MQ1t1+5HVremtEi1nB+wpGKQjgfXkz96NbiOko01Hln9Ms2b8XtewU6MYBpal3SOjka4OgaDE7BJ/6lERNa0ugq+/tmf/Rmf+9zneOc738lHP/pRvv3tb/PJT34SYwzvete75j329OnTGGP47Gc/i3PL0vTOzs5qDnvDcFItQUZqqTBnn9u9HyI3MsGM62KaO4jc/7PYYj540gpHca415bpVrmB55qylbxzAACHCbjNvPPBGWlKmbKasiKx/xg1h0i2EDz3IVMHhR68GNdAClkQU3nTgxgNlNbmbduCdfgashcI0xReewO3eS/juf4SJxCGewlGTLZFFyxctZ/stxy/f2GYM3LPDsK3VEg7Nvr6NGyK04wiFvnNlz+fuugtzywqZStxoFKIdmHvfFty/GIMJx643CRVZ73IFy9VR2H3tvaDF4g9fwaSaVa6rikyiERNL4F09g7PE4GtDHOKRoF7vpkY964iIrGV1E3ydmJjgC1/4Au95z3v4/d//fQDe//738+EPf5jPfe5zvOMd78CdJ8vh9OnTdHV18b73vW+1hrzxxJJE7v9ZCs9+E4rT1zc7rd2Edt2Jcef+Oppo/LbLcz3f8urVmcDrDUUPfnAS3n4XJKMr8jcQkTWq4Lv89Jy9KfAamMrDj09Z3nIIYpHqPpiYWJLwvW+n+MJ3gzIqXhHv0gms7xHec59KDYgs0ViWWYFXCN5xPHfe0pI0NJdZEGMSjYQOvZ7SySdvNLgzBnfv/UtaSh28ONHLE6k/5weClxkzJQeYmsBOT+G0b6vpuOqdMWBauvB7z2AzY5hU0xLOYehotPQMwz2luS+iRERk7aib4OsTTzzB1NQUH/jAB65vcxyHf/bP/hmf/OQnef7557n//vsrHn/69Gl27dq1GkPdsIwx0NBK5HUPB7WkCjmcZCMmmlhWBsl0Ec5WKO1W8mE0q+CrSL3Ll2Bosvy+yelgnogtLNFtyYzr4rR0Enn9I9jsBHgFTKolqO0W1iQkshTFkuVkb+V6hq9etdy/G9xbmgKZcAS3azdOaxc2MwbWYtLNmEhcTbJErvGt5Vy/ZVPDjRIe3tAVCIUwiYYaj67+mXQrJnqF0pVXCe8/uqRzbG6Ei4NwcQj2bF7hAYqIyIqpm+Dryy+/DMDhw4dnbT906ND1/ZWCr9Zazp07x9GjwZdePp/HdV1Cobr5n2fNMMYENVvnq/+6SL4Pnl95f3baEpQiEJF65ZVpan6zwgIam68Ec63WJKoFKbIiPD/IYK8kmw9+xi2zOtq4YUwiDAoiiZTVOwK5Ihy6lgxurY8/fAUn3a6SXavAGDCtW/B7T+NPDC+p/EA0bGhNB6VZdnew5P9utljAZkaw01ms5wUl4GLJ4CVyuMpvr0VENoC6iS4ODAzQ2NhIPD57WWd7ezsAvb29FY/t6ekhl8tx6dIl3vve93L69GlCoRBve9vb+K3f+i1aWtTpcy0LOUHTjekKjYtbUrp5FKl34VDwEFOp4W9czw0i61LIhdZUEGQtp70h+BkRWbxX+yyNcUjFgntlO9oPpSKmqb3GI9s4TLoFE0/hXTqBOfIGzBISRrqa4aVLwQqg9kW8a7LTWbze03j9F7ETQ/OMsRV3807c7r1qYCwiskRrPvg6OFi+U+2MRCJBMpkkm80Si81duj6zLZfLzdk34/Tp0wC8+OKLfPzjH2fLli08++yz/OVf/iVnzpzhq1/9atlzy9oQi8Ad2wxPn50bdUnFgn9EpL7FwrB7E5wpU4Kkqxmia/7bTkTKCbmGA93QM2LnvFxxHdjZbnCUoSeyaCMZy/AkHN5yY5s3eAkTT6tG+SoyBsym7fgXj+P3X8Tt2LHoczQlIBENyrC0N9x+PvQnRyidfQG//wI4Dk7jJpwdd2CSjRBNgOOC70E+h82OYccHKZ19jtKZ53C79xLadXewklFERBZszT+OvuENb5h3/yc+8Qn+zb/5N1hr511mMd++rVu38qu/+qu8973vZefOnQA89NBDbN++nd/+7d/ma1/7Gh/60IeW9heQqjPG0NlkuXen4eUee315cWdT0Ak5XuUmOyJSeyHXcLAbXNdypi9YhuwY2NEOh7YYImHNAyLrVSoKbz5oeOacJXOtX2djAl6zy5DQC1aRJXnliiUeCTLLgaAfw8QwTtfu2g5sA3LiKWjahHflFE7zJkxkcdmlxhi2NFte7YPJnCUdL3/PY3MZiqefwb96FqIJnG0Hcdq6MW6ZOthuCBJpTCIN7VtxSkX8wUt4fefxes8Q2nUX7s47MY6WHoiILMSaD77+5//8n+fdf/DgQSDIgJ2enp6zf2ZbMlm5Q+2+ffvYt2/fnO3/5J/8E/7Tf/pPPPXUUwq+rnHRsGHnJktnk6HoBdkwkRBE1PVTZMOIRQyHt8DuDihdmwdi4RtNRERkfXJdQ3sDvOUQFEuAgYgbXPMisngTOcuVUdi3+UaCijdwAUJhTGrxdUdl+Uz7NsiOUzr7IqEDDyy6duumRjg/GGS/3rdr9rHW9/DOH6N07gVwQ7jbj2DatmCcMsWyK40vFMbt3I2zaRt+71lKZ5/Hu3qO8J1vxmloW9RYRUQ2ojUffP2FX/iFBf1cZ2cn4+PjFAoFIpEbxf0GBgYA6OjoWPRnh8NhGhoamJqaWvSxsvryRShdy3YLuwq8iqxl+WKQpW5Z2SCK6xiS0RU5lYisMfGIWVD9Zs+3TBeuNeJyIR4Gx9E9gciMk5ct0RB0NAZ/tsU8/tBlnJYujK6VmjCui9O5G//SSbzLpwhtPbCo413HsKXFcmEQDnZbEtFrQfWRq5SO/wibm8Tp2InTtQfjLj0EYNww7tYDOK1deOdfovAPjxHad38Q0FUJGBGRitZ88HWhDh8+jLWWkydPctddd13ffvLkSQDuuOOOisf+4R/+IY899hjf+MY3SKVu1K8ZGxtjZGSE7u7u6g1cls3zLMMZePb8jeWILSm4fxc0xJfe9VNEVp61lokcPHPOMpIJtqVjcN8uaEkGGW4iIkuVK1hOXrGcHwDfBs249nfCrg6IqfyICONTlkvDsKfjxksJb+ACAKZ58ckqsnKcRBo2bcXvO4cXS+C2b1vU8V3NcHkETl6x3LtlmuKpn+L3nsGkmgkdfgMmnl6xsZpEA+7BB/GvnKJ06qf4I32E73gTJqw34CIi5Sx8rcEa9+Y3v5loNMpf/dVfXd/m+z5f+cpX6O7u5u677654bFdXF5cvX+ZrX/varO1//Md/DMB73/veqoxZVsbkNPzg5I3AK8BIBv7+uGWqQndkEamNbD64NmcCrxBcw98/YZmcWzlGRGTBCkXLc+ctZ/uDwCsEJUiOX4bTVy2eP7cxp8hGc+ySJRaGzubgz7ZUwO+/gNPYsayMSFkZprkTp7kD78LLeAMXF3VsyDVsaYHzA5aRH/2/oIHXjiO4Bx5Y0cDr9bE6Du7Wg7h778MfuUrhyW/gZ0ZX/HNEROpB3XzDNjc38yu/8iv80R/9EdZaHnjgAb75zW/y7LPP8gd/8Ae47o1i4N/5zneAoKkWwPve9z7+7u/+jt/7vd/jwoUL7Nu3jyeffJJvfetb/NN/+k95zWteU5O/k9xe0bO8fNlS7nGq6MGVEcu+LmW6iKwF1louD1uKXpl9wIkrltfshrCyX0VkCaZL0Fvhuf/Vq7BzE6TUoEs2sIFxy9UxONgFzkyt175zYC2mtbO2gxMAjAE27cDB4F08js1N4m45cNvAuMViR66y6eoZrjj3czL5AA/syK9KJqrT1IE59CDemeco/MP/j/CdP4O7aXFZuyIi9a5ugq8Av/qrv0o8Hudv/uZv+Pa3v82OHTv4wz/8Q975znfO+rnPfOYzwI3gazgc5ktf+hL/7b/9N7797W/zta99ja1bt/Kbv/mb/PN//s9X/e8hC1fymJVBd6u+cdi12RJaZP2qkhcEdBUEElk5ng/9E5X3D08G13RYjXNXRcm3WAshR+VZZG0oecGr1KU2yZtvtYtvKfviR2Sj8H3L8xcsDXFobwi22cIUfv/5oNZrqEzHe6mJIAC7HScSwx+8iD82EDS7au3CuDf+O1ksTGfxR/vwBnsgn8NNNbEjlePVTAdDxRHaw8XVGXMsiXvwdXjnXqT4/Lexe+/H3Xmn7i9ERK6pq+CrMYZf/uVf5pd/+Zfn/bknnnhizrampiY+/elP8+lPf7paw5MqcEzQSCNf4b4iFYXFPMNNFy1jWTjdZ/F82NYKm5u4XrReRJbOMczbDCseCX5Gqmu6GNTdffWqpeRBd4uhq9mS1DwnNZIrWIYm4NyAxZigPmtrKmiwtRiR29zVunVTbEtk8U73wUQO7t1x44Wbd+kVcEKYFmW9rjXGBDV4TbIRO3QZ7+JxvIsnMPEEhKJgfex0FkpFcBycVAumczcmlmSThb5Ckef7G3jr9uFVm/uMG8Ldcy9+72lKp5/BnxwhfOSNKmchIkKdBV9l44mGDQe74cnT5eu47eowC37jmi9aXrwQNCGYMThhSUbhLYcUgBVZLscx7OkIapGVc7DbEFVDnKrKFy3HeyznBm5sG5ywnOoN5rlUTP/7y+rKFSw/PmUZzd7Y1j9uaUvDA3sXF4CNRyARLZ8B294AMd31ygY1mbO83GPpboZ0PLim/PEB/NE+nK7dGEdLTtYqE4lhuvZg2rdhs+OQz2K9EpgQTtMmiKUwiQaMcyPCagzsaZ7i+f4GXhlJcrgtO88nrPB4jcHt3oeJp/HOv0ThqXEi9zyEiaduf7CISB1TDoCse20NsGfz7G3GwP27zLxZdreazDEr8Dojm5/JhFWjDpHlSkbhvp2GW8MpezdD28r3gpBbTOWZFXidkSvAK72WkuY5WWVXR5kVeJ0xNBn8sxjxiOEN+w2xW1ZPp2Pwml2GiF7uyAbk+5anzlii4aDuMYD1ipQuHMMkGzHpttoOUBbEhCM4Te04HTtwu/bgdu3GaduCk2qaFXidkQx7bGvIcWokyXBu9UtKOC2dhA48gM1PkX/yG/gjV1d9DCIia4lyAGTdi4UNh7fAno6g/qvjQHMSYuHF1Y07P1g56HBhEPZ2QiKyEiMW2bjCIcO2NsumRsNoFnwfWlIQDUMkpMBItV0arjzPXRyEQ93BakaR1ZAvWs5WyIQHONNn6Whc3NzQmDC89Qhk8pCdhoZ4kA272BIGIvXiWE9QUuvuHeA6BovFO38MvBLO1l2oJGf92pqeZnQ6zE+vNvKPtg8TdVf3BatJNhI69CDe2RcoPP1/Ce27H3fHHaoDKyIbkoKvUhciIUMkBOn40o631uL78+0naMcuIssWcg0pV13Ha2G+xFZNcVILdr7fySX+UiaihkQUaFja8SL14uKQ5dWrsHsTNMyUG+g7f63cwF5MWFkF9cwYONCS5fmBBp7qbeINW0ZXvba+CUdx978G//KrlF59Gn/kKuE73oSJLPGhTURknVLZARGC+kQ72ivfjWxpDTLzRETWs62tlee57mYI65WsrKJICLbPs+J5xyajjHiRJeoftzxzNsge724JtvmjfXg9r+C0dOI0tNR2gLIqoiGfg60ZhnNhnr7auOSXWsthjIO79QDu3vvxxwbI//h/4Q1cWv2BiIjUkIKvItc0JIKGHLeKhOBAl8FVG3YRWedSMehsmrs97MKRrYbwIkq1iCyXMYatreXrs6fjsLlx9cckUg8GxoNGdk0J2NcZXGv++ACls8/jpFsx7dtqPURZRY3REgdaMvRmojzT1zDvKphqcpo2ETryRkw8TfH5b1N46XvYfK42gxERWWXKcRG5Jh4xvHYP9I0FDbZKHmxpgV0dRh3ARaQuxMKG+3bBwDi8etVS9IJg7N7OxTUoFFkpiajhLYeC5dEXBwEDO9uDLO1EVN+9Iot1acjy9FlLYwIObQHHGLyhy3gXjmGSTZjO3arzugG1JYrsJ8upkSR5z+Fo5ziRVa4BC9fKEOy9Hzt8Ba/nJPnBHkJ77sHdehDjuKs+HhGR1aLgq8hN4hHDzk3Q1RzUmguHUMariNSVeMSwvR02N2mek7UhETUc6AqCrhCU+VFDFpHF8XzLsUuW033Q0Xgt49X6lC6exB+4hNO4CbN5h66tDaw9USDk+LwynOKJiy0c7ZygJV5c9XEYYzBtWzCNm/CvnKL0ylOULh4ntPse3M49GEeLc0Wk/ij4KlJGNKwbUxGpb5rnZC0xxhBT7x+RRbPW0j8Oz1+wZPOwuyNIImB8kOKl41CYxunYiWnapIxXoTlW4u6OCU6NpPheTzO7GnMcbM0QDdUiCzaCu+MOnE078K68SunlH1I6/RyhbQdxu/dhomrKJSL1Q8FXERERERGRdcS3lr5ROHXVMjQJjQm4d4clMdWP98p5bGYMk2zA6d6rzvIySzzkc1f7BFcyMS5OBP/sbMyxqylHKuKt+nhMIk1o733YqQn8/vOUzjxH6cyzOK1bcDt34rRtxURiqz4uEZGVpOCriIiIiIjIGlcoBYHWvjHL5WHIlyAd9TnUNE5T7jL2RB8lr4RJpHG2HsAkGpXtKmUZA1vS03Qk8lzJxLgwEefMWJLmaJHOVJ72RIHmWJHVrEpkEg24O+/C2XoQf7gXO9JL8dgPAINpaMVp2RyUz2hoxcTTKqEhIuuKgq8ryNpguUYmk6nxSETkZslkctVv0DQfiKxNmg9EZMZqzwfWWrLZ7IJ+Nlcw9E+6TBcN2bwhk3eYKgS1MKNOkWZ/iPZ8D6nMMAB+JAapFmyqBWYyXQuFqvw9pL50xfJsjsJoPsZwPsqpkQQnhlMYLKlwkVS4QMItEQt5RB2PWKhEY7hQ3cB+Q0fwTzGPmRyG7Cj+ldOYCy8DYB0XYilsLAXRBDYSh3AUQlFsKAyhMESTEFpYPZta3BuIyMZi7MwTgSxbX18fb37zm2s9DBG5xbPPPksqlVrVz9R8ILI2aT4QkRmrPR9kMhnuu+++Bf3swx/9HV7zM/+07D5TmiJ8S1MiX490skKsMXjO/Mv87xz4KuniwCqN6IamZBxngUHSs1eHeOSz/58F/Wwt7g1EZGNR8HUF+b7PwMCA3pyJrDG1uCY1H4isTZoPRGTGWs58FZHVo+9nEak2BV9FREREREREREREqsC5/Y+IiIiIiIiIiIiIyGIp+CoiIiIiIiIiIiJSBQq+ioiIiIiIiIiIiFSBgq8iIiIiIiIiIiIiVaDgq4iIiIiIiIiIiEgVKPgqIiIiIiIiIiIiUgUKvoqIiIiIiIiIiIhUgYKvIiIiIiIiIiIiIlWg4KuIiIiIiIiIiIhIFSj4KiIiIiIiIiIiIlIFCr6KiIiIiIiIiIiIVIGCryIiIiIiIiIiIiJVoOCriIiIiIiIiIiISBUo+CoiIiIiIiIiIiJSBQq+ioiIiIiIiIiIiFSBgq8iIiIiIiIiIiIiVaDgq4iIiIiIiIiIiEgVKPgqIiIiIiIiIiIiUgUKvoqIiIiIiIiIiIhUgYKvK8haSyaTwVpb66GISI1pPhCRGZoPRAQ0F4iIiGxUCr6uoGw2y3333Uc2m631UESkxjQfiMgMzQciApoLRERENioFX0VERERERERERESqQMFXERERERERERERkSpQ8FVERERERERERESkChR8Fakx31qKJYvnq/mCyEryfEuhZPF1bYnIOqD7AZH1Q9eriIgsRqjWAxDZqKy1ZPNwftAyOA7xCOzrhHQcIiFT6+GJrFueF1xbp/stY1lojMPeTkhGIeTq2hKRtWXmfuDCoGVgHGIR2K/7AZE1qdz1uq8TGnS9iojIPBR8FamR8Sn4++OWkn9j2+URy53bYNcmCOsGTmTRrLUMTsKPXrHM5KKMZIKXHK/fb9jcZHGMri0RWTvGc/D3L8++H7ii+wGRNWkiB08ct5S8G9uujFju2Aq7O3S9iohIeSo7IFID+aLl2fOzH7RmvHQJpourPyaRepArwE/P3gi83uynZyzThVUfkohIRfmi5dlzuh8QWQ+uX6/e3H3HenS9iohIZQq+itRAoRRk41Uy3z4RqSxfgnyFh5+ipwcjEVlbdD8gsn4UPBie55ocnly9sYiIyPqisgMia5BK94ssjb3NxXO7/SIia4l6+YisIbe5HssksIuIzMtaiz94Ce/qObA+7qZtOJ17MCqTVneU+SpSA2EXGhOV97emVm8sIvUkFg6ur3JCbtAYQ0RkrYiEoGme+4G29OqNRUTmF77N9dqu61VEFsH6HsWXvkfx+e9gJ4ax2XGKx35A8blvY/0y9U1kXVPwVaQGYhHDfbsMTpkXWvu7IBpe/TGJ1INYBO7fVf5N8b07DDFdWyKyhkTDuh8QWS9i81yv+zp1vYrIwllrKR77AX7/BdxddxM6/HpCB1+Hu/d+/OErFF/+Ya2HKCtMZQdEliBfDIrtGxPcaLnl7sJuoykBb7vTcKrXMjQZZOwd7DY0JyGiTqkiS+IYQ0ej5a1HDCevWCZykI4F11ZDfGnXarWUPEuhFKxiDLu67kWW4/r1ZIMs92h4/VxPjWXuBw50GVpSmhdE1pqZ+/dXey2DFa7X4rX5CCDiQljXsYjcwus5id93Dnf3PTgtnde3O02bYOcdeOdexNu0HXfzzhqOUlZS3QVfe3p6+N3f/V1++tOfAvCWt7yF3/iN36ClpWXe437+53+eY8eOzdn+jne8g89//vNVGausP55nGc/B8xcsIxlwDOxoh4PdkIgu7sbKdYJg0D07oVQCx9FDlshKCIeCh6Cje8DzwHUh7K6tayszbTl2yXJlNAgWdTTAXTsgHQ8CyCKycNlpy4krlktDQY3U1jTcsx0aEmvrhUsluh8QWT+cm67XYpnrdTJ34/sdoLMJ7twevAhWDUcRAbC5DKVXn8Zp3zYr8DrDtHRhRvoonnoKp30rxq27sN2GVFf/FUdHR/nIRz5CoVDgYx/7GJ7n8Wd/9mecOnWKr371q0Qi5Yv9WWs5e/YsDz30EG9/+9tn7evu7l6NocsS5YuW6SJkpoMM1ERk8UHQxRjPwRMv2+v19n0L5wZgcMLy5oMQX8JnhxxDSHUoRVZc2DUV678uVrFkyZdgIhe8dEnHghIHSwnsZPOWvz8ezF0z+ifguy9b3naHIR1fmTGL1MpU3jJVgHwRUtHgWqlWJupU3vL9k5Zs/sa24Un47nHLQ0cMTcmqfGxV6H5AZP1wHYMbCeagiangHiEdh78/fiPrFeDqGAxOBt/vqVjNhisia0jx1FPghHC27i+73xiDu3U/pWM/xLt8itD2w6s8QqmGugq+fvnLX6avr4/HHnuM3bt3A3DXXXfx6KOP8vWvf533v//9ZY+7fPkyU1NTvPWtb+Xhhx9ezSHLMkwVLE+ftQyM39gWC8MbD0BTcukPedYGQRFLsFQodC1jrlCyvHTJlm10OjkNo1MQjy75Y0VkjcoXLWf6LCeu3NjmGDi629DZbK/PEQthraV3lFmB1xmeD6euWu7ZUf1svUrznMhyjWctP3hl9suFTY1wdDfEI5V/zzzfUigCJmhCtdBrYDjDrMDrDGvh5R7La/doya/IasgXLb4fZIKup7IfS2WtZXwKfnhtvtvUAE1JZgVeZ5Q8ONtvObJ1fWTji0j1+GODQZ3XnXdi3MqFok0shdPSSenCy7hbD2IctWta7+rqv+Djjz/O0aNHrwdeAR588EF27tzJ448/XvG4M2fOAMw6Tta2kmc53jM78ApBQOMHr1im8uVCpLc3VbC80mv57suWb79kee68ZTJnsTao8To0UfnYKyNL+0wRWduGM8wKvEKQ9f4PZ2zZoM98Sv78c0X/WPkHt5WUK1hOX7U8cdzyrRctz5yzTOQsvq85TJZnKm/5/i2BV4CB8SAQWvLK/45lr5Xh+Pax4J/jPZbsAr7HrbVcHq78cwMTUFSzYJGqKpQsA+OWH5+yfPMlyw9OWnpHLflifX+n5Arwg5M35rvmJAxNVv75vjHNRyICpbPPYeIpTOvtV1g7m3fCdAZ/8NIqjEyqrW6Cr+Pj4/T09HD48NyU7MOHD3P8+PGKx54+fRq4EXydmpqqziBlxeSLcHGo8r7M9OLPmStYfvyK5eWe4IaqUAo+4zsvWzLTQXOt8Dy54nEtFRSpO/mi5cTlyg+Q5/qDlzML5Zj5uyFHQpTtorxSpguWfzhtefESTOWDB8GeYfjOMcvkEuZNkZtlpoPv4HIuDZXfl80HLwJO90G+FPzMqavwvRO3f5FqjCE2z3dvJBR8d4tIdfjWcnUUvn/SMpwJvlPGpuDHpyznBiq/cKkHk9PBnDWj5DNvqaNqf7+LyNrnTwzhD13G6dyzoBrQJtmISTbhXX51FUYn1VY3wdf+/n4AOjo65uxrb29ncnKSycnyryNPnz5NMpnks5/9LPfccw/33HMPDz300LzZslJbJT9YUlhJtrD4c45lgxvGOZ/lwYkrlpBj2TP31+u6ra26oxKpN76FqXnmk8npoFzAQrmOYe/mynPF/i5T1eWak9PlM3M8H45dshRL9fugLNU3Xya4b+deK761XBycmykLwcuBoCHd/L+TO9srXy97NwfliESkOqYLQRPaco5fLl9ip15M3TLfXRmBbW2V56N9nUaN9EQ2uNL5YxBNYMo02arEtG3BH7qMnc5WcWSyGuom+JrNBr+M8fjcTiXRaFCIs1JG65kzZ8hms0xOTvK5z32Oz3zmMySTST75yU/y9a9/vWpjlqULufO/XW5cZMMaay0Xhio/4PWOQtEz7OowtKbn7r93pyGhzFeRuhNygqWElbQ3gLvIb9J0DPZ3zd2+pSWoGVdNPfMs0b46piWRsjwNicr7wm7w3X2zYinIvK7k0pC97e9kIgp3bZ+7fVNDEAhRd3GR6smXKn9vWBusJKtXDbc8a0wXg2D0jva5P7u9nbLPDyKycdjpLH7/eZyOHYu6N3FaOsGA13+heoOTVVE3DbcWsuyz0i/5+9//fnzf54Mf/OD1be9+97t5z3vew+/93u/x3ve+F9ddoZbZsiLiYTjQDcfKlD9pTLDoQKgxhrBT+XfIdcAQNAt5cG+wtPLqmCUSgq5mQyyshh4i9SgcMhzeAn1jc+eHkBNkvC82uBMNGw50wfY26B0NGpR0NRviUYhVuUnJfC+tFhtEFrlVMhJ8B4+Xedd9oHtuFqph/t8717l92YBIyLCzHTY3BddT0YOuJkMyCrF5GnyJyPLdbhl9PS+zT0TnznfHeiwHuuAthwyDExZroaslSNDYCE3IRKSyUs8r4Lg4bVsWdZwJhTENbXh95wltn1tiU9aPugm+JhJBukU+P3fN28y2VCpV9tgPfOADc7bFYjEefvhhvvCFL3DmzBn279+/gqOV5XKc4GHL9y2neoMyBACdTUEW6lIeuHZ1GM4Plg/A7t50o05jLBLUmGtr0E2UyEbQEIc3HDA8e85ez+JpiMPRPUGAZykiIUMkBI2J1Z1HtrYaXuktP8/tbJ+/Hq3I7cQihjfsh+fOW66OBdtCTpDpvbPd4NwSiYmEDXs74adnyv9O7t1sCLu3v0bCIUM4BA1xfS+LrKZICJLR8iVHwm5990OIRwyv3w/P3zLfhRxIx6G9QW80RSRgfR/v8is4rd0Yd/EhOKelE+/8S9j8FCY6zzIjWdPqJvja1RWs4RwcHJyzb2BggIaGhusB2oVqaWkB1IBrrYqGDfu7gqU8xVKQIRMNs+R6Ssko7NkMZ/pmb2+Iw85Ncx8aRWRjCLmGzY2Wtx4xFEpBtl4kXP0s1WpIROFgN5y8Mnt7KhbUm3U1z8kyJaKGo3uCxlmeHzSqjIWp+Lu1qSH4Z2Bi9vauZmgt/85cRNaIeMTwwN6gQd7NNZ2Ngdftnb8hXj1IRg2v3ROUHPCuNdyKRSrPdyKyMfkDF6EwjdO+bUnHm8ZNAHiDPYS2KClwvaqb4GtDQwNbtmzh+PHjc/adOHGCI0eOlD2uv7+fX/qlX+Jnf/Zn+bVf+7VZ+86fPw/Ali2LSw2X1eM61zLPlph9drNo2HCoG7a1wrkBS7EE29oNrUmIR3UTJbKRGWOIR9Z/Fk8kZNi3OQhsneu35EuwrTWoZZ3QPCcrZCazeyHikSBYOzEVfPcaA7s2GRriKhsgsh40JeHtdxouD1uGM8FS/O1thkQUnP9/e3ceZ8ld1/v/9a06e+/b9Gw9+z6TyZ6wR0JYBPOLgYsIgkYQROF6Be8D9T5UMCgqXnFBHleuqOwqIMtVEEiI7CF7JskkM5m9e2Z6et9O91mrvr8/arZOL9PL2fqc9/PxCMzU91SdTyf9/VbVp771+dZAzeULM+9FROaSP30YU9eMSSyt+LMJRzD1Lfj93aDk64pVVaeKV7ziFXz605/m2LFjbN26FYAf//jHnDhxgre97W2z7tPZ2cn4+Dhf/OIXueuuuy6WJjh79ixf/vKXufnmm+nomKVyulSlaNgQDUNrPVhq46JRRGpLJGxoDQcLiVmLZvVL2cUjwcONVU3B37VIlsjK4RhDfQx2rTP4vtU5RUTkMjaVxA6dwd101bKOY5pX4fcew/oextF6RCtRVSVf3/72t/O1r32Nu+66i7e+9a1kMhk+8YlPsHfvXu644w4Aenp6ePTRR7nuuuvo6uoC4P3vfz/vete7+Pmf/3le//rXMzk5yec+9zlCoRDvf//7y/kjSZkYY9Clo4hUM2PMFRczEiklJV1FVjYlXkVEpvPOHgHHxbSuWdZxnMZ2/NOHsaP9yz6WlEdVVQJvbW3ls5/9LLt27eJv/uZv+NSnPsVtt93GJz7xCSKR4F3Rhx56iPe973089NBDF/e77bbb+NjHPkY8Hud//+//zT/90z9xzTXX8M///M8XZ9DWOut5+OlJ/PQkNp8rdzgiUgVsZioYU7KpcociIlJ2Np+7dK3leeUOR0RqjPX9S2NQbpZV1ERkUay1eGeOYFpWL2mhrWkSjRCK4A2dufJnpSJV1cxXgC1btvD3f//3c7a/9rWv5bWvfe2M7bfddhu33XZbMUNbsfxUEu/UU3hnngXPw1m1kdC26zB1jRhTVfl7ESkBm03jDZ3BO/oodmoCU99MaPv1mObVOJECFHAWEVlBrPWxk+Pkjz4aLMrhuLjrd+Bu3IcT16pjIlJ8Nj1J/syzeN1PQy6D07Ka0M6bgjqVy00aidQoO9qPTU3gbtiz7GMZY3Aa2/AHz8D2GwoQnZSaMmcyLz+VJPfwf+KdOgj5HFgfv+8E2Z/8P+zURLnDE5EVxuZz5LufJv/Ed7FT44DFJkfIPXYv/rljmu0lIjXHTk2Q/cn/w+87AdYHL4d36iC5h/8Tm54sd3giUuVsJkX2if/CO/ooZNNgLf5wb3C/lxwpd3giK5Z39ihE4piG1oIczzS0YSeGsPlsQY4npaXkq8zLHzl3PkHyHF6O/IknsF6+9EGJyIplsym84wdmbcs/+zCoBIGI1BDr5cmfeAK8mSWd7NQ43nBvGaISkVriT41jR/pmNlhL7pmfYLMqQSCyWNb38M4dx2lbW7Ca9qaxNXg4MtJfkONJaSn5KnOyvod/7vic7f5AN6gekIgsgs1MBTO7ZuPlsNl0aQMSESmnXAZ/oGfOZv/ccayvNwJEpHjmG4PsWD/W0yw7kcXyB3ogn8VpW1u4g0brIBzFHz5buGNKySj5KvMwEIrM3RqKgGq+isgiGOcKdcMcjSkiUkOMwYTCc7eHIoBWkBeR4jHheertOy4ag0QWzzt7FJNoxMQbCnZMYwymvhV/tpnqUvF0lytzMo6Du2H3nO3uhj0QiZUwIhFZ8aJxiMRnbTKJRozGFBGpJZH4vAtxuBt2Y/RQSkSKyFm1Ye62tdt0bSaySPb8Wy2mbV3Bj20aWrDjgyr/uALpak7mZRJNuBv3zdze0onTualg9UtEpDaYaILINS87P5PiMqEw4atvxUQT5QlMRKQMjDHB9VTL6hlt7sa9OImmMkQlIrXEROOE9rxg5vZEE6Et12DcK7y1JCLTeOeCBTSd1jUFP7ZT3wLWx44PFfzYUlwaSWVeTiQGW67GXbs1WK0vn8dZswWnvllJEhFZNGMMNHUQeeFr8Qd68McHcZo7cdrWYeL15Q5PRKTknFgdkatfij85in/2OIRCuGu3QaxeM85EpOhMKIK7eitOy2q83mPYzBTuqo2YxnacWF25wxNZcbzeo5jG9uKcwxMN4Lj4o304LZ2FP74UjZKvckVOJAaRGE5je7lDEZEqYBwHk2jE2bi33KGIiFQEE03gRhO4rQVcmENEZIFMOIIJR3C231DuUERWNJuawI704W6+uijHN8bB1DXhj/YX5fhSPCo7ICIiIiIiIiIisgxe73FwXEwRZ6Waumb8sYGiHV+KQ8lXERERERERERGRJbLW4p09gtPcWdRayaa+GTJT2PRk0b5DCk/JVxERERERERERkSWy40PYyTFMW3FLCJm6ZgCVHlhhlHwVERERERERERFZIu/sEQhHMU3FXSvHnF+Txx8fLOr3SGEp+SoiIiIiIiIiIrIE1vfweo/htK7FmOKn2UyiSXVfVxglX0VERERERERERJbAHzwNuQxO+7qSfJ+pa8KOD2KtLcn3yfIp+SoiIiIiIiIiIrIE3ulnMYkmTKKxJN9n6pogn8NOjZfk+2T5ircEm0gZeL4lnYWcB64D0TBEQqbcYYlIFfN9SyoHuTw4DsQ07ogUXCZnyeTB9yESCvqZ46ifichMmZwlkwPfnh8vIuAYjRciUhw2M4U/2IPTtbtk32kSTcF3jw9BXVPJvleWTslXqRrpnOVIr+XZ3uBiC2B1M1y/GRJRXXCJSOFlcpZTg3DwtCXvBdva6uGmrVAf17gjUggTKcsDRy0jk8Hfwy5ctcHQ1WqJhNXPROSS8algvBidCv4eCcHVGw1rW6wejIpIUXhnjwIGp600JQcATDgCkTj++CDumi0l+15ZOpUdkKrg+ZZj5yyHzl5KvIZd6B+DHx22pLOqhSIihWWtpXcUDpy6lHgFGErCd5+xTGU07ogs11TG8l9PX0q8QvB2y6MnLP16005ELjN5fry4kHgFyObhoWOWoYnyxSUi1ctai3f6ME5LJyYULul3m0QD/sRQSb9Tlk4zX6UqpLNwuDf489ZOWNNsSOUg5IAxwey0WERPu0Vk6ay1pLIwdb60SV0EJtOzJ1hTWRhLQSJa4iBFVohMzpLOwVQmKBEUj0B8lvP0cBIyudmP8WSPpa1h9v1EpPYMjAfJ1tmMTFnqYjCZgbATnJ9VjkBElssf7sVOjZe05MAFJtGEP9CNtRajsaziKfkqVSHvg+fDtZsMI5OWHx6+lBAJu/C87YZ63+KqPpyILIFvLSNJ+OFhO+3GrqsNbthiePj4zCTsSNKyplljjshzpbKWh45Z+sYubUtE4EW7oCkxvc8MJeeeQZ5MX3rbRURkcGL2AeG6zYbhpOVbB6bfH7xgp6G93qp+tIgsmdfzDMTqMQ2tJf9uk2iEXAbSkxCvL/n3y+Ko7IBUBdeB1nrIe3ByYHpbzgtKD6Sy5YlNRFa+VAa+94ydMaOmZyh4zbFjloVNG2K6mRN5rrxneapneuIVghnl35+lXEfDPLWTo2FQzkRELmiMz9zWWh/Mhp3t/uAHz1imdH8gIktk05P4/adwVm0oy8xTkwhuQPyJ4ZJ/tyyekq9SFWJh2L3WcKxv9ifevoXe0dLGJCLVY2AimF0/m+N9sLF9+gVXyA1u+ERkunQOTg3O3TaZmb6tszF4wDqbXWuD87+ICMDaFjPjgcymjvnvD86NFj8uEalO+Z5DYFyc9uIttJX3IZl1GUqFOZuMcmo8xvHROCdG4/RkmhkKryM9Nlq075fCUdkBWVH8VBI7Pog/cg6TaMJpX4eJ1RFyXRoT8z+9HpuyQOVNkbH5PFgP3DDG0fMQkVKxqST+WD/+aD+mvgWndQ0mVn+xH9p8DqwPoTDjU3MfJ5MPXl+8IBqCF+0yqvcqMgvPBztPqYCp5yRf4xF4yS7Dj56dPvN88yrY0GYwxmCthXwWHAfjzp6NtZ6HzSTxB05jUxM4bWsxDW04sboC/FQiUizW98DLY40D2TT+8FlscgTTtAq3eRXmsldt4xF48S7Dj5+15M4vhBkNMe/bb+MVen8gIpXNenm8nmdw2tfPee0x7/4WUnmHyZzLVM4llXfIeC7pvEPac0jnHTJ5h7ydLT9w4ULKQOIVMARNUz4b2g1bOiES0phWiZR8lRXDnxon+9A3gpomFxiH8PWvxGnpJOQ4NMZhPDX7/h0NlTUI+dk0dnIU7+ST2Ewap30d7tptmHiDCmaLFJmfHCX70Nchm7600XGJ3PDT2LpGbHIE78RT2HwGp6OLXR1bOTNSRzI981h1UWhMwIt2GsKhoHZlPIL6scgsQm6wGGZ+jpnkDc95bdhxDG0NlpdfZYLF7vJQHwtKDkRCBj+VxD93Aq//JCYUwd24D6exFRO5dCDrefjDZ8g9du/FzK936iAm3kD4hp/GSTQU68cVkSWyvodNTeB1H8If68fEG3HXbMaO9uGdOQIcJB+OEbnp1Tj1LQC4jqG90fKK/YapDOR8qI8G48rEHPcH7Y06V4vI4nlnj0Aug9O5ccH7TGRdziaj9E9GGMmEyfuXEqshxyfi+ERcS9jxaY7miCTs+W0+Ydcn7FhCjsUxweWMbyHV38dEGsbDuzl42vLMGdizHrav0YKClUbJV1kRbC5D/uAPpydeAaxP7rF7ib7wtcTi9ezfwLTFti6IhKB9lpqM5WJzWbzup/GOPXZxmzfWj3fqIJGbfwZz/iJSRArPZlPknvzu9MQrgO/hDZ6GvhzeqYMXN3uj/XDyKV58ze3cc6yBvDd9t6u6DI1xM2utORGZLhaGnWvh4OmZbU2J4OHFcxkTzCR/7mxyf2qc7AP/Adkgq2IBf/A0zrqdhHbcgBOJBdszU+Qev2/GlFubmiB/+AHC+16CCc/yxSJSNnZsMJh0Yf3zfx/AP3eM0M6bcdq78Ad7IJcm98R3idzwqosPXJxZxov9G4L1H54rEoI2PXsRkUWyvk/+xBM4LWswV3iDxlronYzy7HCC4XQE11iaojnW1aepC3vEQx7RkI+7yDypMeAaSMQdYqPHWbt6B7lOl1OD8ES3pXcUnr8domElYCuF3nGWFcFm0/jDvbM3ejn8yVEguIC6YYshctljheYEvHSPoS5aOQOPzU5NS7xelM+SP/QTbC4zs01ECsJm09jxoZkNxsFp6piWeL0olyF86mH2rrn03nPYhWs3GVY1FTFYkSrjOoYtnYbda6fXcl3dBC/caYhFFnautvk8+WOPXUy8Xs4/cxjSyUufHR8E35vxOQC/vxubm2VKu4iUjU1PkXvyexcTr5fLH3kYt2vnpc9ODGOf+zD1OdrP3x9cXiKoEu8PRGRl8M8dh1QSZ82WeT83kXX5fk8LPznbjOcbdrVO8Ly1I+xtT7KhMU1bPEcivPjE6+VMNBH8ITVBJGTYvtpw9QYYnYT/OmhJZeep9SQlpZmvsjL4c7yfeJ7NBcWcIiHDxg5LZ5Mhmw9WQY6EIVZhT3z8obPzttlcBhNWwUiRophjPDFN7fgj5+bczfafYuvOm1jdFsb3gxkzsXDwWrSILFwsbNi9PqjbmvOCJOyFMgILZXNp/N7jc7Z7vcdxGtvPf3a+B5r2itcYIlJaNpfGpiZmb/Q9yGXBDYOXO79t/j482/1BNKwZYSKyeNb3yR97DNO0ClM39wyMU+MxHutrJOr67GsfpyWWn/OzyxKJAwY/NYF7/u3Z5jrDNZssT3TD956x3LpXdWArgZKvsjKEI8HAMssMFwCn4dJr+rO9blRx5lttRESKKxyFUBjyuec0mCv0zaDGUmNcFy8iy+U6hrrYco8yT3+9rC87TR1zfszE6zGhxS+UISLlY7GX1shywwuasLAi7g9EpOJ5Z49ip8YJ7blq1nZr4dBwHc8M1dOZyLC1eXLamz6FZhwHE41hp6Y/sEpEDPu7LI+dgvuftbxkt9ajKDeVHZAVwUQThHfePGubs3rL+Sc+K4fTunbONtO8CkKqPSdSLCYaJ7T9xhnb7fggTvv6Ofdz2terb4pUCBOO4qzaNGe7u3rzpc/GEjjtXbN+LrTreVes1yYiJRaOwlz90jiYcOziA9TQ9ushurLuA0RkZbJenvzRR4Jar3PMen1mKEi8bmqcYntLcROvF0UT2KnxGZsTUcOeddA/DofmfvFWSkTJV1kRjDE4HesJX/cKTF1zsDEcw91xI6FdN19cVGOlMLE47obdMxscl/DuF6y4n0dkJTGOi7N6M+Grb8Ukzq/EF4kT2nEjpq4JZ+22mTu5YUI7b1I5EJEKYULhIOkyywMRp3MTJn5pFR0TiRPa+yLcbdcFb9IApqGV8A2vwmlZU7KYRWRhnFgd4b0vDlaUeY7Qlmvwzh7BJBoIX/1SnDVbMY47y1FERArLO/EEZNM463fM2n5iNM6h4SDx2tWYnm0IKwoTiWNTE8FbAc/RUmfY0AYHeyyjk3r7tpxUdkBWDBOO4nZ0BTXc/DzWOJhoHGNW3jMEE44R2notTlsX+ZNPQDaF07oWd+PeaTeMIlIcTiQGqzfjtHSC750fTxIYYwjvuAl/1UbyJ5+EXAanfT3uhj3qmyIVxiQaiTz/DryeQ/gD3RCKENq0D6dlNeY5M+GcWAKz+WrcdTsw1gc3dHF1dBGpPE5LJ5Hn/yz54wew40OYRD3u5msw8TpcAMe9tNCMiEiR+ZPj5E88ETzgnWVm/lAqzOP9DaypS9PVWOKFPKMJ8PKQTc/6RvDGdhhKwsPHLS/bp/ID5aLkq6w4F26oFjJk+LkMxvchHKm4p+ImEsdd1XUx+VOJMYpUuws3bmbatjhu5yac1jXBIh6hCMZdeN+01sKFBX7CUV3giBSJMQaTaMRsvx42XYV1HJx5ZqcbxylbiQHr+5DLYI3R2y0iC2DcUDBDfe+LwcsGD0yWWfrH+j7kM1jUD0Vk4ay15J7+IYQis74hl/UMD/Y20RDJs6V5quTxmVhwP2NTE7M+WHYcw7bVlgOn4NQgbJq7FL4UkZKvUpVsJoU/ci6YuZbP4rRvwN2wCxNvqLhEiAmrhqRIJVpKiQGbSuL1ncQ78ywA7vqduHM8IReRwjCOC9H4gh7KloM/NYF3+jB+/0lww7gb9+G0rcHRrD2RKzKhEISWf8vqpybwzhzFP3ccHBd3w26c9i6cmPqhiMzP63kGO9yLu+NGjDtzPDrQ30DOM+xrn8Qpx8VIKAqOi00loWnVrB9pThg6Gi1Pdlu62oKFT6W0lHyVqmMzKXLP3I/fd+LiNm/ySbwzh4k87/+bszi2iKxs1veChTjK9IDFppNkH/kmdnLs4rb8oZ/g9RwicsOrlIAVWcGstWD9Rb+h4k+Nk/3Jv0Pu0iuI+Se/i9O+nvC+F+u1aal51veK/uaXn5og+8B/QObSjLT8wR9iWjoJ779VCVgRmZM/PkT+8AM4qzbiNM2cMnpuMkLPRJwdLUliIb8MEQblsU00qPs6n00d8PAxONYHO1TyvuSUfJWqY6fGpyVeL8pnyR95hPC+Fy37tSURqQzW97HpJN6549jRfkx9C+7a7Zh4/axPposWh7V4faemJV4vtk2O4g30EOraVbJ4RKQwbD4XzGg/fQibmsBpW4fTsSEYY67woMd6efLHD0xLvF7gD57GnxzDVfJVapD1vaBfnT0a1HNtasddszXoVwVOxFrPw+t+elri9WLbSB92YgiUfBWRWdhshuzj92Ji9TizXMd7fjDrtTmaY1UiW4YILxNJYKfG5/1IImLobLIcOmPZ2qnZr6Wm5KtUFZtN4fUen7Pd7z+Jzd2k5KtIlbATQ2Qf+kZQZB5goAfv5JOEr30FTttajFOaBflsLoN39sic7d6ZZ3FXb15SKQMRKQ/r5fD6T5F/8nsXt/kDPXDsUSI3/QymvmX+/XMZ/HOzPAw+zztzBLdVU0+ktlhr8Uf7yT38TbDnZ4kN9uAdP0D4hp/Gaeks7BssufS89wbe6cM4betKdr0gIiuD9T2yj98LuSzunhfM+mDo6GiCqZzLdZ1jlLuyoYnG8ScGsVjMPIWYNrTDuTE4OQBbO0sYoKCzjFQNa328wTNXWIlLT3dEqoVNT5F74r8uJV4vNlhyT/wXdpZZLkU131VXua/IRGTRbCZF/qkfzGzIZckd/CF+dgGrGc/T95XskVpkM1PkDvzXpcTrxQa/SOduo/OziCyK9X1yB/4LO9qPu+26WUsEZTzD4eE61tRnSITLU25gmmg8WCg4Pf8YGo8YOhrh8FkblFSSktFVn1SPTJr8scdxWtfO+RFn9RbNPBOpEjaXxk7NUdson8WmJ0sWixOJ4a6fo6xANIG7ab/GHpEVxo4PT0sQmXgDJt4QtI32Qy4z7/4mEsNds3XOdmfd9sIEKrKSZFPBPwCROCbRBBdmlGWmLrUVSiSGu27HnM1u1y49CBGRi6wfPAjyB7pxt12L09A66+eeHa7DWkNXQ4HHrCW6kCC+Ut1XgPWtMJmBc6NFDkqmUdkBqVg2l8FmUvhj/eC4OE0dmEgcEwrP/nks5DP4E4M4a7bh9x6d/oFInNC2a+fcX0RWmCs9rX3urJoic9rXYxrbseODwd9bVuNu2ofNpCGbwh8fwsTqMJFYSeMSkaWxfjCr3l2/E2fVRmxyBDCY+mb8vpNXHIOM4+JuvgpvoBue8zDIWb0VJ95YpMhFKpi1mKYOQpv3Y7NpyKYx9c3YVJL80UeufG5fJOM4uOt24PcenfHA1unYgHOF8iEiUjtsPkfuwH34Q2dwt16L0zz7e/npvOH4aIK19WkiboXMHnXD4IaC5GvL6nk/2hAL/jlyzrKmRbP/S0XJV6lINpsif+wAXvfBSxuNIbTr+UFB/vDMmq0mHMVZtRHv2OOEdtyI2/aSYBGefBandQ3u6i04Cd3oiFSNcDT4Z7bZZ8bBxOpKGo4TqyN87W34I+fwRwdwm1cFr1b63qXPaIVzkRXDaWzH3XoN5PPkHv32tDZ3835YwKJ+TryByE0/g99/Cu/ccYwbxt24F6exHRONFylykcplI3FCm64i9+T3wctd3G6aVxHe/1JMpPD9wonXE7nh1XiDp/HOHg0ejGzci9PUrvOxiABB/iH76D3YiWHc7TfgNHXM+dmjI8E9xrr6BZQfKhFjgrqvNpVcwGcNa1ssh3thMm2piykBWwpKvkpF8kf6pideAawl/8yPcZo7MOH2GfsYN0Ro836yfSfIP/sQROK4qzZg3Gb89BSuXvkVqSomliC8+/nknvjujDZ323VFuYG7EidWh7NmK35jO9kffXnG7Ft/8DT57mcIbb1WrzmKVDgTjeM0tJF7/Dsz2rwTT+B0dEG8/orHceL1mA17cNduCx4M6Q0cqWHGWrJPfX9GvXY72o8/0I1pWV2UFRpMvJ5Q1y7c1ZvVD0VkGn9yjOwj34R8FnfXzTh1zXN+NucZjo/FWVOXJlwps17PM5GFJV8BOhrhaB+cGLDs61LytRR05ycVx8+myR8/MGd7vvtprD/768Qm3kDkeXfgdu0CLP7gGYjEiGy/HqfEs+BEpLiMcXDau4JVx1vWQDiKaWwnfN0rcNfvLOuNlT/cO2fZA6/7aWyha9qJSBEYvJ5Dc7Z6J57EXjZzb94jGYMJR5XwkZpnJ4ZmLpR5nnf2KOTnr6W8XOqHInI5f7SP7AP/DhZCu18wb+IV4ORYHM83rG2onFmvF0Xj2HRyQQtpuY5hVSOc6EcLb5WIZr5KxTG+N/9Kp6lJsB6zPTswxmASjZidN+NuuQZjDERi+NaQy1kcA5GQnuyIrES+b8l6YIBoOOjHJhzBtHQSufZlWC+PcdyKqKk6b7H7fLbk9WhFZPHsFa5HbGYS63kYV4kckYWad1aW7wWrdS9RJmexQMQFx9H1vojMzxvoIff4dzB1Tbjbrr/igxnfwtHRBB2JLNEKm/UKQCQe1M3OTELsym/mrG6G3lHoH4fOpqJHV/OUfJXKE4rgtHTinzsxa7NpWwfO/L+6xg1h3BDWWiYzcPSc5dwohEOwcw20N0AsoosykZXgQj8+3m85OwwhF3asgVWNl/qxCUcxFVRaxGldg3fiiVnbTF0z5gpjmIiUX9aGMc2rITkya7vTskYz6EQWycxTR5FY3YJqKT9XOmvpH4dney15D9a2wpZVUK86hiIyB6+/O0i8NrXjbr0W47hX3Kc3GSWVd9nZurBX+0vtQg1rm0piFpB8bYhBPAKnBiydTRovi01lB6TimFCY0JZrgqrRzxWK4K7ZHMxoXYCJNNzzpOXIueDPw0m4/4jlwClLJleBT6tEZIbJDHznKcvhs0E/HpmEB45aHjlhSVdoPzb1LZhEw6xtoZ03aaEdkQqXTFu+fdAhu2YPzHZD5oZwu3Yv6GZNRC5xEg2YhtZZ20Lbb1j0AljpXHA98MBRy8hkcJ1w+Gxw3ZBMV+Y1goiUlzd0Jki8Nnfgbr1uwefy46NxGiM5GiLelT9cDm4Y3ND8b+Bdxpig9MDpYfB8jZfFpuSrVCSTaCJy42sw9S2XtjWvCmo7LuApDkAub3niVPAE/Lm6h2CquCWlRKQA8p7l4GlLdpbycGdHIFmhpVOdWB3hG34aZ9VGuLB0SKyO8NW34jR3ljU2EZlf3rM8fdqSycHDZ+vJX/MaTEPbxXbT2E7kptdgFrDYlohMZ6IJwte+HGf1lksTLSJxQle9BKeja8ETLC5IpoLrgefK5uHp05a8p4SCiFzijw+Re+xeTGMb7paFL4CbzLoMpKKsqa/cJIIxwWKhC110C4I3CT0/KD8gxaX3HqUiGdcN6jje8NPYfAYwEI7iLKKWY9abfxA5PWJpqdf0epFKls3D6aG5208NWtobK7MfO/EGwvtegs2lgxp2obAW/hNZAbL5YBYIwGDS4bvZNnZveCVt0QzWGLJE6GzU7HWRpXLi9YT3vgi7/YagzmsojIkmFp14heA6YC49Q7CvKyhXJCJisymyj96DidadLzWw8LmIJ8bihByf9ni2iBEun4ksLvmaiBrqY5aeQcv61sq8p6oWSr5KRTPR+LJezzXAXJdkmvYtsjKYeTpypa+nYcIRTDhS7jBEZJEuH1pSWXj0dBQI6kpvWQWd7WUJS6RqmFC4IDWT57sOWEIuV0SqlLWW7BPfBS+Hu/MmzCLqS/sWTo3HWZXIVvy9B9E4dnwAa+2CH2h1NARvBuc9S8it9B9w5VL+SapWJATrZi8pBcA6PdkRqXjRMGyYJ8mxoV39WEQK60rjzqYOjTsilWK+64CN7UF/FhHxTj2FHTqLu+XqRU/uOjcZJes5rK6r3JIDF0XiQbY4M7XgXdrPlx7oGytiXKLkq1SvsGvY12WIzvJQa1tnsLKfiFQ21zHsWmuIzXLztKEd6hdeiUREZEEujDuzXSdsaIc6jTsiFaM+NvvDklgYdq41uBU/TU1Eis1PjpI/8jBO52acpo5F739yLEZ9OE9duEIX2rqMiQSJ5YUuugWQiBjqonBmWDWyi0llB6SqNcQNL9sHPUOWMyPBbNidawxNCYiGdTEmshLUxwy37gsuCE4PBbXbdqwxNNepH4tIcdTFDC/dO/u4E9O4I1IxomHD1RuDWa7P9gYL7a5vC95wq4uqr4rUOmstuYM/hEgcZ/2ORe+fyRv6JqNsaV74TNKyCkXADWHTk4vara0+WLzQ9y2OHloVhZKvUvXqYoada2FLZ1AXSnVMRFaeuqhh+2rY3BHUcFM/FpFi07gjsjLEwobVzdDeANYGD0uWsniXiFQfv/cYdrQvqPPqLH71vdMTwesulb7Q1gXGgInEFjXzFYLxs3sIBidgVVORgqtxVVd2oKenh3e/+93cdNNN3HTTTbzvfe9jeHi4aPvJymCMIRIyunESWcGMMYTVj0WkhDTuiKwcITfor0q8igiAzefIHX4Qp2U1TuPSVsrsnojREssRcVfQK/mRODaVXNQu9bHgLeHe0RX0c64wVTXzdWRkhF/6pV8im83yK7/yK3iexz/8wz9w+PBhvvjFLxKJzF7kc6n7iYiIiIiIiIhIZfFOHYRcGqfr5iXtP5l1GUlH2Nm6uERmuZloHH9iCIvFsLCHUcYYWustZ4fh6o1FDrBGVVXy9ZOf/CTnzp3j3//939m6dSsAV199Nb/8y7/MV7/6VX7u536uoPtJcVhryeSCRfoiIb3mJyKldWEMskA4BCHVPRKRCuT5lmw++HM0hGq0iawg1lrSueDP6r8ihWdzGfInnsDp2IiJJpZ0jJ6JKI6xtMVWRsmBi6IJ8H3IpII/L1BbPZwbhYmUpSGuManQqir5+vWvf52bbrrpYgIV4AUveAGbN2/m61//+pxJ1KXuJ4WXylrODMORc8ENxeom2L0e6qO6KBGR4ktlLd2DlqN94PmwtgV2rglexdFrjCJSKSbTlmN9llODwd83dcDWTkhogSGRijeVsZwcsBzvDyabdLXC9jXBAqMiUhj5UwfB+jhrt175w3M4PRGjLZbFXWHFOk0kDoBNJxeVeG6pC2rGnhuFhniRgqthK+zXaG5jY2P09PSwd+/eGW179+7l4MGDBd1PCi+dtTx0zPLYSUsyDdl8UPT53ictE+lyRyci1S6Vtfz4sOWJbpjKQCYHJ/rhO08FY5KISCWYzFj+62nL4V5I54J/Dp2F/3raMpVRrTaRSjaVsfzgkOXgaUhlg2uNo31w31OWZFr9V6QQbD6Ld+opnI4uTDi6pGOMZ1zGs2HaEyts1itAKAKOs+i6r65jaE6o7muxVE3yta+vD4DOzs4ZbR0dHUxMTDAxMXPFt6XuJ4WXzEDf2Mztng9PdFtyeQ0CIlI8o5MwPDlze86DZ85Y8p7GIBEpL2stPYOW1Cz3glMZODMSfEZEKtPgBIynZm7P5OFYn8Xz1X9FlsvrOQReHmf1liUf40wyhmt8WmO5AkZWGsYEdV8Xm3yFYPbrwDgai4qgapKvk5PBHXM8PnN+dDQaPO2Ympoq2H5SeGeG5+7g50aDBIiISDFYazk5OPcYdGaEi7UVRUTK5cJbQXPpHrS6XhKpUHkvKDcwl9NDutYQWS7r++RPHcS0rcNEYks+zpmJKG3xHCu28mE4jk0vPvnaWh+UQxkYL0JMNa5qkq8Leco/W72+pe4nhRea57dxxQ56IrIiGGPmHYNchwWuFSoiUjwG5q095xiNVSKVypgr9F9da4gsm993AjJTuJ2blnyMiez5kgPxFVhy4LwLM18ti5vBmogEiwD2jWnma6FVTfI1kQgKCWcymRltF7bV19cXbD8pvPVtc19ubOyASHj2NpuZwp8Yxh8fwk8nsdZf8HfafA6bSWHzK3dgFZHC2LJq7jFoyyqInh+DbDaFnxwJxpxUEuuXbpqZ9X1sJoWfneWdRZEVxOaz58+/i3udz/oeNjWBPz6InxzBZmurIHMkbNi2eu6xavtqQzik9I3I5Wwug81MYb3Zp5XafBZ/ajwYVybHi3Zf4Drz999tnZeuNURkafKnDmIa2zCJxiUf48xEFNdYmldgyYGLInHw8pCdmeeajzGGlrrgzWMprFC5AyiUtWvXAjAwMDCjrb+/n8bGxouJ1kLsJ4UXj8DudfDMmenbE1HYvdYQes70V+v72Ikhck98Fzt1fl58JEZ49wtw2tdhQpE5v8t6eezUOPnjB7Djg5hYA+7Wq3EaWpdclFtEVrb6WJBkPd4/fXtDPEjMOo7BT44EY87EcNAYihDacSPO6s04RR47/NQE3pkj+OeOgxPC3bAbp70LJ6ZzlKwcNpfBT47iHX8cOzWOaWgltOUaTKIJE5r/stRm0+TPHsE7+hh4wQ2RaWwnvP+ncOqaShF+RVjVCB2NM18JXN0EbQ3liUmkEtlsGn+0n/yJA5BN47Stxd24DxNvwDjBHCSbniT37EP4vccBCxic1ZsJ77wJE6sreExNCehqg57nlA9pqYN1bUZvXIosgz8+iB0bwN163bKOcyYZoyWWxV3B3dFEg7KaNp1cdPmFljo4NxYsRhyPrOB/CRWmapKvjY2NrF+/noMHD85oe/rpp9m3b19B95PCi4QMO1bD2pag4HwmB11tho5GSERnKRmRTpJ96BvBE50LsmlyB+4jctPPYFpmLqJ2gT/aR+6Rb8H5shN2ahx/+AyhXTfjrtt1xRtAEak+0bBhX1cw0/5YX1A3cWO7oa0+GIP8VJLsg1+H3GVPkPNZ8k//iHAkDp0bixabPzVB9oF/h8tmvOYP/hDTsprI/pdilICVFcB6ebxzJ8g//aNL26bGyfadJHzty4NViedJPHgDPXiHH5x+zPFBsg99g8jNt+PEa+NNpXjEcPM2GJuC430WDGxdZWhKQEw3SSIA+LkM3tFHgoV3zvOmxvHOHCFy8+2YxjZsLkPu0APBa8oXWfxzx8n5HuF9Ly74pIxY2HDNJtjaCcfOWTwLmzoMrfUoySGyTF7PYQjHMC2rlnyMyZzDWCbMrtbF10utKOEoGBMsutXYvqhdW84/d+ofC+6LpDCqpuwAwCte8Qruv/9+jh07dnHbj3/8Y06cOMGrX/3qgu8nhRcJG1rrDTdsMbxgh2Fjh5k98WotXu/x6YnXy+SPPoLNzf7KkJ+eJPfUDy4mXqftd/ghrF7nFalZ0bChvcFw41bDC7YbutoujUH+yLnpidfL5I88hM0UZ+ywnofXfXBa4vVi28g5/ORwUb5XpNBsNkX+0E9mbcsd/CE2M/cCpzY9Sf7oI7M3ZqYuzUavEfGIYXWz4XnbDc/bZuhsNkq8ilwuPTUt8XqR75F75n78bDqYGTst8XrZx/pPFa2sSSxs6Gg03LTN8PzthnWtRolXkWWy+Rxe7zGcjvUYs/Q0V28yhsHSElvZZQmNMUHd1yUsuhUOGepjqvtaaCVJvuZyOf71X/911lf7C+ntb387TU1N3HXXXfzTP/0Tf/d3f8dv/MZvsHfvXu644w4Aenp6+NrXvkZPT8+i9pPSMiZ4xXdOvocd7Zu7eWIE681RoyWXgfTk7G3Wx06NLSJSEalGzixjkB3tn+PTYCfHoFi1X3Pp4GHTHLzTh7H+wmtdi5SLTU/O3U+yKZgn0WF9b+5zN8GrhrXIca5wvSRSo/zhs3O22dE+yGdhjokaF83xwLVQ1H9FCsfrOwFeDqd9/bKOcyYZpSWWm3ch3hUjEiy6tRTNCegbW9gC9bIwJfmVSqfTfOADH+DUqVNF/Z7W1lY++9nPsmvXLv7mb/6GT33qU9x222184hOfIBIJ6n8+9NBDvO997+Ohhx5a1H5SYRwXU98yZ7NJ1IPjztU6/7FVa0lEZjHfmEOsLlimuGhfPt+4VA1XhyLM/3vuuMErdHPtWkM1X0VkAa54PW8gdIXVreZZP0JEKot35tlgoa3o0ktxZfKGoVSY1pW80NZlTCSOTU0sad/mOkjnIFlb65oWVcEKW/7UT/3UnG3WWqy1/MZv/MbFZOZ3v/vdQn31NFu2bOHv//7v52x/7Wtfy2tf+9pF7yeVxRiDu24H3qmnZi0fENp6Hc4chaVNOIpJNF5apOtyjruslRFFpHo57euDBNAsM/dCW64JVhUthkgMd+12vBMHZm12N+y8uHCISCVzYvXghmYvGRSrmz+5Go3jbt6P9+xDMxvdME7z0uu7iUj1cVrXzt3Wti6o5Wp9TPOqWd9sMc2rFr1IjYiUhz81gR3pw9189bKO0zsZXIe0xVd2yYGLInHI57D57LyLkc+mORFMWesfCxYfluUrWPK1v7+f1tZWXve61xEOT3+KmE6n+cQnPsEtt9zCunXrCvWVUuNMvJ7wtbeRe+K7kD//dMo4uNuuwzTNXRnaxBKEr3oJ2Yf+c0YSJbT3hZhiJVBEZEUzsToiN/w02cfuuexVRIO7cQ/uqo1FW6HYOC5u1y78vuPYqelPr51VG3HqmovyvSIFF40T3vdicgf+a/p24xC+6haceVYWN8YhtHY7dmoM//SzlxoicSLXvbwoq5KLyMplogncrdfiHXtsekMoQmjX8zDhIBER3v9T5B6/D3tZ6RLT2EZ4/08p+SqyQvi9R4NJVPMsuL0QvckojZE8Ebc6XrU30fN5jXQS6lsXta/rGBrilv5xy9bVejO4EAqWfP3KV77Chz70Ib7+9a/zW7/1W/z0T//0xbaJiQk+8YlP8NrXvpYbb7yxUF8pNc64IZy2dURf8Fr8dBJ8H2L1+OEYzhXKRZjGdiIvuBOv5xD+WD8m0Uho415MognjFqxbiMg8sjmLBSIhipa4LCTjONDcQeT5Pxss8JPPYRINmHDs4k1csTjxeiI3vBpv8DTe2aMYN4S7cQ9OY/uyXq8SKSXjuDjtXURecCf5Uwexk6M4je24G3ZjYg1X3j8aJ7zjJuym/dhUEhMKQ6wOE03MGEPyniXvQ8iFkGoqipRULm/xLERcylbT1IQjuBv24LStwzv5JDabwmlfj7tmGyZef/FzTryByHWvwGZT2MxUMJ5E4peSFiJS0ay1wbVxy+pl3cfnfeibirKhsYoW3w7HAIOfSuIuMvkKwezXc+frvq6Ee7VKV7As086dO/nUpz7Fvffey4c//GE+9alP8b/+1/9i//79hfoKkRmM40K8noxTx+lhy6kzQdnFbastqxqZc+VQ47iYuibMjhuC1x/dUHAsESm6VNbSPwZH+yy+DxvbYX0bJKKVf1I3xglu2i67cSvZd8frCXXtwl2zBTBB4klkhTGhMKahlfCeFyzp/GvC0eB14TlqvObylok0PHPGMpkJbhx2roX6KLhu5Y8xIitZJmcZTsLhXks2D6ubYEsn1EXL85DVicQgEsNpbAvedguFZ10F3UTPJ1sbFp+cEJHysuOD2Klx3PU7l3WcgakIvjW0xaqk5ABgHAOR6LLqvnYPwXgKmjTXY9kKPsXvtttu45ZbbuGTn/wkb33rW7nlllt4+9vfXuivEbloMmP57tOWqcsWJH3wqKWjEW7eNncCFs4nb5V0FSmZVNbykyOWwcuuAUa74Uif5aV7VkYCttwWW7NJpBIV4/zreZbTw/Dw8UuvC45NQfeg5cW7DKuaNHNDpFiyOcvBHsuxy8qnjk3BsX7Ly/YaGst4427cUFBvWkSqjtd7HMIRTGPbso7Tm4wSD3kkwn6BIqsMwaJbySXt2xgP1i7sH1PytRCKskJHOBzm7W9/O9/85jeJRqO8/vWv18WuFIXvW473TU+8XjAwDqOTpY9JROY2nGRa4vWCqQyc6Lf4syygJyKyEOkcPHpi5hhigYeOW9LVM5lFpOKkckxLvF6Q9+DxU5ZcXud3ESksay3eueM4LWtmndW+8OMEi221VtGs1wtMdOnJV9cxNMZhYFzjdyEs6jf07rvv5qtf/eqCP9/e3s6HPvQhvvzlL/PRj36U7du3LzY+kXll8nBqcO724/0W39dgIVIJPN9yon/u/nhyEDK5EgYkIlVlKgtznfJT2eCaQUSKo3d07vN73xhk1f9EpMDsaD9kpjCta5Z1nJF0iIzn0havwhuRaBxyGay3tJ+tKQEDE0GiW5ZnUcnXz3/+8/zu7/4uv//7v7+of/nbt2/ntttuo7m5ebHxiVyR5lSLVAf1ZRERkZVJ53ARKTXv3HEIxzD1Lcs6Tu9klJDj0xipvqdEJnK+XsASZ782J4KHZ+NVtA5ZuSx6bra1li996Uv8j//xP8jlFpY97+7uZnx8fNHBiVxJNAQbO6Zvi4TAPf+bvaXTlG2VVRGZznUMWzrn7o+bOiCqNaREZIkSkUvn/+eKRzS+iBTT6ua5z++rm4PrcxGRQrHW4vWdwGnpXHaJy95klNZYjqqslBmJAeAvs+7rgNJ5y7bo5Ov27duJxWLcc889vPOd7ySVunIK/P/8n//D8573vCUFKDIfxzFsWWWoj8HudfCinYZ9XYYbthhetNPQnND0eJFK0lIHHY0zt9dFYVOHwVnmVU86ZxmZtJwZtgwnLamsxgCRapD3LMm0pXfUcm7UMpm2eN70/h0Lw3WbZ44hxsCNW828C3CKyPLEw7Bt9cztYReu2RSU/Tg3T/8VEVkMO9YPmdSySw5M5RzGs2FaY1VYcgAwjgOR2PLqvsZU97UQFv0Mct++fdx999284x3v4Mc//jG//Mu/zMc//nGamprm3U81IqRYElHDS3YFxfyfOXPp9ywaDpKxsbBWNxapFPGI4eZtMDgOR/osvg8bOwzrWoK+vByTGcv9z1pGLltorz4GL94F9TGNASIrVTZnOTFgebInWBQDwDFwwxbD2hZLOBT0b9c1rGuxNO4zHD5rSaahpR52rDbURcv4A4jUgEjYsGcdrG2Gw72WTB7WNAdvtfSOGA5022n997rNhvWtl/qviMhieH0nIRwtSMkBg6WlSpOvACYSw6ZmWfF4gRoT0D8W5PSUV1m6JS0Jd+211/KZz3yGtrY2Dhw4wJvf/GYGB+dZ9UikiDzfcqzfcnZk+vZMDr7/jGWq+hYtFFnR4hFDV7vhxTsNL9ll2Na5/MRrNmd5+Nj0xCtAMg0/OmxJawasyIo1OgVPdF9KvEKwsNaDxyzJzPTPhkOG1nrDjVsNL9ltuHaToTFhcF3dLIgUWzRs6Gw2PH9HcH7fs86QyhoeP2Vn9N+HjwcPSEREFisoOXASp3lVQUoONEXzhJzqvVcwkTg2vfTka3MieHtBY/byLCn5CrBr1y4+//nPs2bNGo4cOcIb3/hGenp6ChmbyIKkc3Ds3OxtOQ9Gn5OMyeQsUxklY0TKLRwyRMJm0RdNuXzQh1NZe/Gtikwe+ueoRTSeCsYJEVl5cnnL02fmPl8fOWfx/entnm/J5kFvNYuUR9g1RMMGz2fe/vtsr8XzF9dR09ngGiCTUwcXqVV2YhhSSUzLLLVOFiHnGwanIrTGqny2VjQB2QzWW9qCYo3xYFFF1X1dnmWVPt+wYQP//M//zNve9jaOHj3KL/zCL/AP//APbN++vVDxiVyR70Pen7s9mbaAIZe3jE3BE92W0algYY7d64JFAKJhzYgRqXSeb5lIwVM9lv7xYPGOHWugqw3y3vz7Zqtv8VKRmuD5MJWZuz2ZCq4BIuenEyTTlkNnLaeHglqvG9th+xqoW+bsehFZvCv230zwmbkWyrtcOmfpH4OnTwdvtTUn4KoNwf+rdIFIbfH7T4EbwjS0Les4/ZMRfAyt8eqepWGi8eAPqSTUNy96/5BrqI9ZBifsvIsny/yWPPP1gs7OTj73uc+xf/9++vv7efOb38zjjz9egNBEFsZ1gkU25tJSZ7A2SNb819OWoWRwoTeRDl5ZfOaMJZvX03ORSjc2Bfc+ZekdDfpwKgsHTsFDxyyuy7wrlMYiJQtTRAoo5AYL9c2lrQFC569mJ9OW+56ynOgP3nzJ5uHIOfju08FMOREprZALrfVzt7fVX+q/88nlLYfPWh44aplIB9cAQ8mgb/eNaW0RkVrj9Z/CaeoIFpNaht7JKIlQnnhonplc1SASJF/9ZdZ91czX5Vl28hWgqamJT37ykzz/+c9nbGyMX/7lX+aHP/xhIQ4tckXxCOxdP3vWpS4KDfEgSfPoidkvzI6cC+rDikjlyuQsj52cXjPuggs3Xps7Zt93dTNEl/Weh4iUS8g17F5nmO0s7xjYssrgOAbftxzvDxb5ea6pDPSOzNwuIsUVcg271s7df7d2Bv33StI5eLZ39rZHT1pSVf7GsIhcYlMT2IlhTHPn8o5j4dxklNYqXmjrAuM4EIkua9Gt5jhMZdHD7GUoSPIVIJFI8PGPf5yXv/zlpFIpfu3Xfo1vfvObhTq8yJyMMaxrhas3BE/YL+hohJfsNsQjhpw3f83H8VTx4xSRpct7MJycu/30EOxZHyzedeE+zgAb2uD6LUalRURWsPoYvHi3IRGZvu2n9hjqosHfs3k4Mzz3MbqH9JaLSDnUR8/33+hl22Jwy57p2+YzMc8iL5kc5FRaSKRmeP3dYAymeY5ZFws0nA6T9ZyqLzlwgYnEsal5bqauoDER/P/A0vO3Na+gc4EikQh//dd/ze/93u/x5S9/md/6rd9ibGyskF8hMqto2LBtNaxrCy7AXAeiYYicrwF1pfV8FvLKk4iUkQn68VxvFoZdiEcMV20I6jvmveBhTDQcLPwhIitXyDV0NsGt+yCbA0xQ8zkeudS3jZm/bmTIvfRgRkRKx73Qf/de6r/REMQiC++QV7pOX+Zi5yKygngD3ZiGNow7T93BBeidjBJ2fBojtfH0xkQT+BNDS94/EjIkIpbBccvGdg26S7Go5Ouf/umfEovF5v2M4zh86EMfoqmpiX/6p3/iAx/4AG1tyyuELLIQjnN+BswsT9GjoaBm3MjkzDbXCZ7Ai0jlioaChbW6B2dvX90SXASEXEO9O/tnRGRli0cM8TnqN0fDhu1rghrQs9m+2hDSgxiRspmv/15JXTS4XvdmKcvYnIDI8nIwIrJC2FwWO3wOp2vXso91LhmhJZarnYc30TgMZbBebsmJ66YEDGrm65Itar7fz/7sz/KqV71qQZ/97d/+bX7zN38Tay2Dg3PcLYuUSDRsuHGrIfycpIwBnrfdaDEekQoXcg37umZ/RfGajYa4brxEal5nE6xqnLm9qy1I0IjIyhSLwPO3z6wdG3bhpm2GmEoLidQEf+g0WB9nmfVeJ3MO49kwrbHaKRhtIucvhJZReqApEZRrzORUxmkpiroEyTvf+U6am5u5++67tQqlzGCtxZTwUVNjHF5+leHcKPSNWxrjsLE9qCHn6l1EkYpXFzW8dE/wxPXMsCUWCRbbSUQgHKq8PlzqMU6k1sUjhpu3BTcGJ/otjgObOwz1saAEiYhUjsWcI13HsKrR8sqrDd2DlrEUrGo0rGlmwXVjRWTl8wZ6MPEGTDS+rOOcS0YxWFpqYLGtiyLBq75+agK3vmVJh2g6/699aALWthYqsNpR9PWff/7nf54bbriBp556qthfJSuAzeew6STemSPY1AROxwac1jU48fqif7cxhroYbF0NWzpRUkRkBUpEDRuiwUy2SuzDfi4NqSTe6Wex2TTumi2Ypg6cWF25QxOpCbFI8DZLRyOQz+JPjuIdPkTOWtx1O3DqmzFRTYMVKRc/PYWdGMI7exTjhnHX78AkGjGR+WuAua6hIQ57u4weborUIGt9/IEenPb1yz7W2WSU5mi+ptZ9MY4DkRg2tfS6AdFwUApuYMKytlVj8GIVPfkKsG3bNrZt21aKr5IKZr0cXv8p8k9+7+I2v+8kROJEbnoNTl1TyWLRBZvIylaJfdjmMngnD+Idf/ziNr/vBKaumfANr8SJFf8hk4icl02Te+Z+/L4TFzf5vcdw2tYR2vcSnJgSsCKlZtOT5B6/Fzt2qSSdd+YwzvpdhLdff8UE7AWVeA0gIsVlRwcgl8E0r1rWcbKeYTAVYUvzVIEiWzlMNIFdRtkBYwyNCcvgeAGDqiE1lOuXcrOZFPmnvj+zIZsif+gn2Fym9EGJiBSITSWnJV4vbp8cxTv1NNb3Sh+USI3yxwenJV4vbh86gz98tgwRidQ2ay1e77FpidcL/NOH8KfGyhCViKwU3kA3hCKYuuZlHadvMoLF0FpLJQfOM9EEdmp5K2Y1xYNFzPOeyooulpKvUjL+aD/MUfvXHzyt5KuIrGhe77G5204fxmbTJYxGpHbZfA7v1ME5273ug/jqjyKllUnh9Ryas9nrfgbr+yUMSERWEn+gB9PUseyZ773JGPXhPLFQDY43kTjks8vKuzQlwALDS59AW7OUfJXS8fLzt2tRNhFZyXLzrJjq5QguVUSk6KyP9eaZ0ZLPY3TNIVJSFnuFfqnzpIjMzqaS2OQIzjJLDvgWzk1FaI3Pc81exS4sVLac0gN1UQg5wQLIsjhKvkrJzDdYmromTChSwmhERArLWbN57rb2Lo1xIqUSiuCu3jJns7N6M4S1RLpIKZlwFKdjw5zt7tptGMctYUQislJ4Az1gDKaxfVnHGZiKkPcd2mqw5AAAkRgYg00tvWhrUPcVBif0sGyxlHyV0okmcFZvnaXBENr9wotPYkREViKnrgXT1DFLg0toxw1KvoqUiDEGZ9VGmG2Ru0gMd932YNVfESkZ44YIbd4PofDMtrrmZS+iIyLVyx/owdS3YGYZPxbjbDJK1PWoC9fmOgzGGEw0XpC6r4MT4OstokUJlTsAqR1OJEZ41814ravxTjyBzaZwmlcR2n4Dpr653OGJiCyLiSWIXPMy8meP4HU/A/kcTvt6QtuuwyQayx2eSE1x4vVEbno13qmn8c4eAWtx12zB3XQVTryh3OGJ1CSTaCTyvDvIH38cv+8UuC7u+l2EunZhYnXlDk9EKpD18vjDZ3HWbl/ecWyQfG2L51hm2diVLZLAppaZfE2ANwBjU9CioXvBlHyVkjLROKGuXbirNmCtxbghjF79E5EqYWJ1hDbvJ7R2BxaLCUWW/ZReRJbGiTdgtt+Au2kfELz2bFxd+oqUizEGU9dEePcLsdtvCLZF4pqJLiJz8od7wfeWXe91JB0m47m0xycLFNnKZGKJYLFzLIalZaEbYuAYGBxX8nUxdAUqZWGiiSV2dRGRymaMAzGNcSKVwLguxtWdgUglMaEQJqTbUBG5Mn+gB6IJWObs+LPJKGHHpzFyhUXAq100Ab4P6RTEEks6hOMYGuKWgQnL9jW641koPWYUEREREREREZGKYa3FG+jBaerALKNWgLVwJhmlLZ6t7ZIDBJPggGUtugXn676OB/+NZGGUfBURERERERERkYphJ8cgnZx9QdtFGM+GmMyFaIvnChTZymVCYQiF8Ze56FZjAjJ5SKYLFFgNUPJVREREREREREQqhj/YA46DaWhb1nHOTEQJGZ/mqJKvEKzDQwFmvgIMLi+HW1OUfBURERERERERkYrhDfRgGtowrrvkY1gLpyditMZzODVecuACE6nDn1pe8jXkGupjMDihsgMLpeSriJDNWdI5i+dr8BRZqrxnSWctubz6kdSubD7oBzqfiEi18PxgXMvq/C5SMjafxY6cK0DJAZdkLkRHPFugyKpALA6ZFNZb3uJjTXEYWF4Ot6ZomUmRGpbOWgYm4NleSy4Pa1pgayfURVlWUXORWuJ5lmQGDp21DCchEYHd66C5DiIh9SOpDemcZWgCDp+1ZPKwugm2rYb6mM4nIrIy+dYymYYj5yx9YxANw6610FoPsbDGNZFi8ofOgrU4TauWdZwzE7Gg5EBMJQcuMNG64A+pCahvWfJxmhJwZgRSWUs8ojHxSpR8lZKwvg/G6AasgmRylsdOWk4PX9o20Qsn+i0v22doiJcvNlnZaq2/DyXh+4csFxb7TKahf9yyf0PwMCPk1sa/B6ldmZzlqW7LiYFL246m4cRAcD5pSpQvtlpkrQ8WjKMX3GTlK+fv8/gU3HfQ4vnB35Np+NFhy9ZVsK8LIkrAihSNP9ADsXpMbOkXEdZCz0SMNpUcmC4SB2Pwp8Zxl5l8BRgch672AsVWxZR8laKyqSTecC9+30lMLIG7fhcm3oAJR8odWs2bzDAt8XpBzoOneiw3bIWwkkayQNZabCqJP9CNP3QWk2jEXb8DE6sPVtWsUqms5eHjlxKvl3uyG9a1Qv3Sy1SJrAipLNMSrxd4Pjx+0vL8HZoFXgo2m8KfHMfrOQReDnfddkxjO06srtyhiSyazaTwJ8fwTh8C3wt+nxvaSvb7nMlZHj15KfF6uWP9sHU1RKr38kakrKy1eAM9OC2rl3WcsUyIyVyIzU2pAkVWHYxjMNE4dpl1XyMhQyJiGZiwdLXrOu9KlHyVovGnxsk++HXITF3c5vUcIrTrecEFVEgJ2HLqGZq7btWZYbh6I4SVNJIFspOjZB/8D8hdqqfknXqK8P6X4qzagHGr83STzQcPMmZjgfFU8Nq1SDU7Nzb3+aR/HHJ5iFTnEFAxbDZF7tlH8M8cvrjN7z+FaWgjct3LMUrAygpiMylyhx7AP3fs4ja/7ySmeRXhq28tSQI258HQPKt4941ZmhJKNogUg50YgmwK07y8eq89EzHCjk9TVCUHZogmlp18BWhU3dcF0/tIUhQ2nyP/7MPTEq8X5A/9BJvR06dym/dyUdeSsgg2myb31A+mJV4vyD31/aru71fqKjVSeUFqnH7Ny8+fHJ+WeL3ATgyRP3sUO9v0fJEK5SeHpyVeL7Cj/fj93RXx++zoBC9SNP5AD7ghTH3rko9hLfSMx2iPZ1VyYBYmWodNjS97PG2uCyabZHLlH5crnZKvUhy5NH7/yTmb/aEzpYtFZtXVNvdZqKtNs5Rk4Wwugx2b5Z1jAN/DJkdKG1AJRULQMMfMVsfM3SZSTVY3z30+WdMMYZ1Pisr6Pl7P03O2+z2HIFu9D8Gkulgvj3dq7t9nr/tpyKaLHkckBJ2Nc7evaip6CCI1yxvowTS2L6vW82AqTNpzWZWYOTlEgFgd+BbSyWUd5mLd13neFJCAkq9SFNZe+J852vOa+l9uiShsmWXxyGgY9q43WiRIFs7OUhDt8mavevt7LGK4cauZ9Yn6tZsMMdWDkxoQj8DOtTO3h13Yv9Go3mspeN6cTdbPV8RMQZEFsRb8/Nztfn7ee4xCiYQM12w2s5bg2r0Ond9FisRm09ixAZym5ZUc6B6PE3M9GiLzjCc17MJCZnZybFnHiYWD+53BCV1nXInmIkhRmFAY09Qx52w4t31diSOS54qGDfu6YH0bPNtryeZhfSusbzPURXWjLAtnQhFMvB6bmv3JqdNY3ctfttTBK/YbjvdbBiegLgo71xjqY+ghhtSESMiwc00wy/XZs5Z0PvjzxnZDIlru6KqfcRzctdvw+0/N2u6s2ogJ6z+ErAwmFMZZuw1/6Oys7U7nZoiU5ve5IQa3XWU4NWA5NxYkXHesMTTGtYigSLH4gz0AmOZZZgktUN6HMxNR1tZnVAJsDsZxIRLDnxpf9ozMpgT0Ly+HWxOUfJWiMJEY4d3PJ/vAf8yYFees2oiJ1ZcpMrlcNGzobIK2+uCtg7ALRmcoWSQTqyO054XkHvnWjDZ3wx5MpLrfvXccQ0McruoKLvZcB1wVl5IaEw0bOsLBwwidT0rPNHVg6ltmlnkJRQht3l+1ix5KdXJb1+IlmrBTz7mbD8dwu3YHSYMSMCZ4kLpnPWxfE5QT0kNVkeLyBnowdU3Lemh4Nhkjbx1W1c2xKq4AYKKJmePsEjQl4NleyOUtYT2YmpOuxKRoTH0rkeffQf7oo/gjvZhwDHfTVbirNlR9Mmal0YWkLJfT3Enkef8f+SMP448NYmJ1uFuuxm1dWzMzrhzHEFExH6lxOp+UhxOrI3L9K8mfOYJ3+hB4eZxVmwht2Y+JN5Q7PJFFMbE6wje+Cq/nMN6ZZ8H3cVdvxt20DydR+t9nY4zWQhApAev7+IOncVZtXNZxTo3FaIzmiIfmL41W60ysDn+4F4vFLGP51ObL6r6uaSlQcFVIpxEpGuO6mIZWwvtegvVyGONgovFyhyUiRXCh1Ej46luxXl79XUSkxEysjtDm/YTW7QhupMJRzXiVFcuJ1WO2XkuoaxeW4K26Us14FZHysKN9kM/hNHcu+RiTOYeBVJQdLctbSKomxOrAy0N6EpbxZnIsDNEQ9I9b1rToIfxcdEUmRWfCEUw4Uu4wRKQETDhaMzNdRUQqjXEciCWWMX9FpHIEv891+n0WqRHeQA+Eo5BoXPIxTo7FcY1PezxbwMiqk4nVAWAnx5dVFtIYQ1PCMjBeqMiqk16QFBERERERERGRsvH7TwU1zJdYM963QfK1I5HFVabriowbgkgUf3L5dV+bEzAyGdR9ldnpV1JERERERERERMrCnxzDTo0vq+RAbzJKxnNZq4W2FsyJ1mGnRpd9nOZgEi0DE8s+VNVS8lVERERERERERMrCH+gGx8E0ti/5GMdH4zRGctRFvAJGVuVi9dipcSzLm7EaC0M0DP1jmvk6F9V8FakA1vrY9BR4OXBCmEgcE1L3FJFL/GwachmwNqilHU2UOyQRWaFsLovNpcH3gwUTz9d9E6lmNpvG5jJwYUG6iBYGFakUXn83pqEN4y5tYb2xTIiBVJSdrVpoa1FideB5kEpCvGHJhzHG0Jyw9Kvu65yU3ZGq4KeT2Mkx7FQS09CME2vAxFZGYsJmU3jnTpA/+miQWDEOztqthLddr5shkRXCT0+eH4MmMPVNmHgjToHGIGstdnKU3MEfBavAAqauidCeF+I0dWg1c5EVxlof0lP4yRFsegqnsRUTq8dES5MI8ifHyD9zP/7QGQBMvJ7Q7hfgtHRiQlogVaqP9X1scoTcwR9ixwcBMA2thPe+CNPQinGunOyx+Sw2k8IfGwAIzr+RuBYVFikAm01jR/twN+xd8jGOjcSJuFpoa7FMPMg3+JNjuMtIvkJQ9/VwL2RylmhYSyU+V9XdsX3+85/n05/+NGfPnmXjxo28853v5DWvec0V9/ve977HO97xjlnb/v3f/50dO3YUOlQpEH9imOzD/wnZ9MVtpq6J8PWvxFnmAFJs1vfxeo+RP/TA5RvxzxwhOzVO5OqXlexmTESWxk+OBmNQZuriNpNoDMagZazWeoFNJck++PXg4cyFbZNj5B7+TyLPuwPT2Lbs7xCR0rDWx44NkH3kW5DPXdxumlcRufrWoj90takk2Ye+MW28sqkkuUe/TeSm12BaVhf1+0XKwaaTZB/8D/Dyl7ZNDJN98OtEnv+zmPrmeff3cxm8nmfwjjwybbu79VrcDXtwIrFihC1SM/zB08GbXc2rlrR/Ou/QPRGnqyGFo5zfohjHxUTj2MlRaF+/rGO1nL+E6R+HLt2ezFBVydd/+Id/4MMf/jCvetWruOuuu7jnnnt473vfizGGV7/61fPue+TIEYwx/Mmf/AmOM70U7po1a4oZtiyDn54k++i3pyVeIUhM5J/6AaFrXoYTjpYpuiuzmSnyRx+bvW2kD5uZUvJVpILZ9CS5R789LZEBYKfGyT35PSLXvhyzzJsyv//UtMTrpS+x5I8+SviqWzTzRmSlSE+RffhbQZmhy9jRfnJHHyG86wVFLTvkjfbNGK8uyB1+kMh1r1j2mCVSSazv4fUcmpZ4vcj3yJ96ivCu5837FolNjsxIvAJ4xx7DaV0NrWsLGbJIzfH6T2HqmpZ8/jk2GscAa+q10NaSxOqxyZFlHyYaNiQilv4xS1ebsuDPVTXJ1/Hxcf72b/+Wn/mZn+Ev/uIvAPi5n/s53vKWt/DhD3+YV77ylbjz1A85cuQIa9eu5c477yxVyFIImSlIT87a5A/3BknZCk6+ks9Bfu5XI/zkKI5mtYlULJtNY1OzL+tpR/ux2fSyEhnWy198NXg2/mg/1ssp+SqyQvgTwzMSrxfbzh7DbrkWEyreWzvzjSd2bBDr5dHtklQT6+XxR3rnbh/pC67H50i+2nwO78QTc+7vHX8Cp6Fd52GRJbJeHn/wNM7qLUvaP+cZjo8mWF2XIexosaelMLF6/PFBrO8tqAzLfJoT0DdWoMCqjHPlj6wM9913H1NTU7zxjW+8uM1xHN70pjfR29vLY4/NPrvwgiNHjrBly9I6vJSPfc6M1xlme8pdSVwX5rnN0axXkcpmZ5uRernljkGOg5mnfIqJJTBO1ZzKRaqezcz+wDho9MEv7grNZr5SKNG4xhOpOsa4mOjc5TxMNHH+enx21vewc8wWh+AtNlvkfitSzfzhXvDyOC2dS9r/2GicvG9Y15AqcGS1w8TrwVqYWn7WtLkOJjMwmVYi/Lmq5grrqaeeAmDv3ulFmvfs2TOtfTbWWo4fP862bdsAyGQy5PMVnrQTgHmTEjguVPhTaBOJ4XRumr0xHJ3/JklEym7e+ozGWfYYZIyD27VrzvbQ5qu1WrPICuI0zPM2SyQOoXBRv9/t3MxcD31Dm/cHMYhUERMK4W66as52d8vV8y40Z0JhnJa5S9A5LWu0UJ3IMvh9JyFWB7H6Re+b8wxHR+pYXZch6irZt2TRODgOfnJ02Ye6UPdVs19nqprka39/P01NTcTj0y8aOzo6ADh79uyc+/b09JBKpeju7ub222/n6quv5pprruE973kPw8PDRY1blikSw1m1cdYmd/P+4Gl2BTOhCKGdN2Ea2qc3hKNErn9V0RfeEJHlMZEYzurNs7a5G/cWZAwy8QZC+14MZnrCxO3ahdOqmuQiK4mJ12Ma22dtC22/oejXLSaWIHzNrcHDocs4q7fgrt6MMSo6INXHqW/G3XEjz33w4G69dv4HIgSL0bhdu2YvS+C4uBv3YOaZOSsic7PWx+vvxmnuXNL55+hogrxv6NKs12UxxmDi9djk8nNfIdfQGIe+MSXDn6via74ODAzM255IJKirq2NycpJYbGZdvQvbUqm5O+SRI0cAOHDgAG9/+9tZv349jzzyCJ/+9Kc5evQoX/ziF2c9tpSfE4kR3v0C8rE6vNOHg9f1QhHcLVcTWrd92TVLSsGJ1xO5/hXYdBJ/YhgTq8PUNQf/r5sgkYpmwlFCu56HF00EC3r4HoTCuJv2E1q/c94FPBb8HaEw7urNOC2r8ccHwfNwmjow0Timkmtai8gMJpogfO3LyD/7MP6548FrfpEYoe034KzaUPTzvnHDOO1dRF7037ATQ9h8FqexIyg5oIW2pEqZcJRQ1y7cVZvwxwfA2uA8GokvqFariTcQuelnyB38IXZ8MNjW0EZ47wvnfwtPROZlR/shl8YsoeRAJm84MpxgdX2GaEiJvuUysQb8sQEsFrPM6u/NddA7ErxhrnzGJRWffH3Ri140b/s73/lO3vOe91zxP+x8bV1dXbzrXe/i9ttvZ/PmYAbTbbfdxsaNG3n/+9/Pl770Jd785jcv7QeQojOxBKEdNxLatA/reeCGMNGVVQfRROOYaBynqaPcoYjIIjnRBGbHjbgb9gbJVzcU9OkCPvwxbhiTCOOoFInIiufE6gnveSF22/UXH9iYaKJkNyjGdTGJBkgoaSS1w4QimFAEp27x51HjOJjGNiLXv/JirXcTjqjsj8gyeedOQjiGqWte9L7PDAVlCjZo1mthxOth6AykUxBb3ls4rXXQPQjDSWjTpcZFFZ98/aM/+qN523fv3g0EM2DT6ZmLL13YVlc39+vbO3bsYMeOHTO2v+51r+ODH/wgDzzwgJKvFc64IYg3aIVeESkL45xPZoiILIAJhTFFru8qIoVlIjHNEBcpEGstXt8JnJbFlxwYy4Q4MRZnU1OKsGq9FsSFWfw2OYxZZvK1MQ4hJ6j7quTrJRWffH3961+/oM+tWbOGsbExstkskcil10f6+/sB6Oxc/FT2cDhMY2MjU1Nzr3ApIiIiIiIiIiILY8cGIDOFaVm9uP0sPN7fQDzks7Z+5uQ7WRrjuphoAn9iGKd9/fKOZQzNdZbeUcue9Zoed8HKeS/7Cvbu3Yu1lmeeeWba9gt/v+qquVe5/Ku/+ite9rKXkUwmp20fHR1leHiYdevWFT5gEREREREREZEa4/WdgHAE09C6qP1OjccYSkXY0jyJo7xeQZlEYRbdgqD0wHASMjnNTL6gapKvt9xyC9FolM985jMXt/m+z+c//3nWrVvHNddcM+e+a9eu5fTp03zpS1+atv1jH/sYALfffntRYhYRERERERERqRXWWrxzJ3CaVy+q5EAq5/DkQAOrEhlaYvkiRlij4o3Y9NTF2tbL0RqU5KVvbNmHqhoVX3ZgoVpaWnjHO97BRz/6Uay1PO95z+Nb3/oWjzzyCH/5l3+J615a+OTee+8FgkW1AO68806+8IUv8Od//uecPHmSHTt2cP/99/Ptb3+bN7zhDdx4441l+ZlERERERERERKqFHRuA9CRm496F72Phkb5GDLClWWUhi+Fi3deJYUzrmmUdKxo21MeC0gMb2jVFGaoo+Qrwrne9i3g8zuc+9znuueceNm3axF/91V/xqle9atrnPvShDwGXkq/hcJhPfOITfOQjH+Gee+7hS1/6El1dXfzu7/4uv/iLv1jyn0NEREREREREpNp4545DOIppaFvwPkdHE/RPRdnbPkHY0avsxWDCEYjE8CeGcJaZfIWg9EDvSDDTebGLqlWjqkq+GmN429vextve9rZ5P3fffffN2Nbc3Mzdd9/N3XffXazwRERERERERERq0sWSAy0LLzkwlArz1EA96+pTtMZyRY6wtjmJRuzEUEGO1dYA3UMwNAHtjQU55IpWNTVfRURERERERESkMtmRc5CZwrSuXdDnU3mHn5xtoiGSZ1NTqsjRCYlGbGqyIHVfG2IQduHsiGYqg5KvIiIiIiIiIiJSZF7vMYjGMfXNV/xs3jf8+Ezwud1tSRy9uV50JhFMUbXjg8s/ljG01cOZkWUfqioo+SoiIiIiIiIiIkVjfS8oOdC69oolB3wLPznbRDLrsqctScTV7MlSMKEwJprAHy9c6YFkGsZT+u+n5KuIiIiIiIiIiBSNP9AD+SxO27r5P2fhwbNNDExF2NOWpD7ilShCATCJJvzxASzLT5i21IHrwJnhAgS2win5KiIiIiIiIiIiReOdPYJJNGHi9XN+xrfwYG8TvZNRdrclaY7lSxihAFDfBNkMpJLLPpTrGFrr4fSQZr4q+SoiIiIiIiIiIkVhsyn8gR5M+9yzXvM+3H+mmd5kkHhti+dKGKFcYOIN4Bj8sYGCHK+9HkanYDJd2wlYJV9FRERERERERKQovN7jADita2dtz3iGH5xuYTAVYW/7hBKvZWQcJyg9UKDka2s9OAZO13jpASVfRURERERERESk4Ky1eKcPY5pXYcKRGe0TWZfvdreSzIa4qmOcFpUaKDtT14SdGMZ6y/9vEXKD0gM9NV56QMlXEREREREREREpODs+iE2O4LR3zWjrn4rw3e5WrDVcs2qcBi2uVRFMXQtYix0fLMjxOhphZBKSNVx6QMlXEREREREREREpOO/0YQjHME0dF7dZC8dG4vzodDP1YY+rV40TC/lljFIuZyJRTDSOP9pfkOO11YPrQHdhcrkrkpKvIiIiIiIiIiJSUDafxes9htOxHmMMAJ4Pj/Y1cGCgkTX1Gfa2TxByandGZKUy9S34o31Yu/z/Nq5jaG+AU4O2IMdbiZR8FRERERERERGRgvLOHgUvj9MRlBxI5x1+cLqF7vE4O1qSbG2e4nxOVipNfQvkc9iJwqyUtaoRkmkYThbkcCuOkq8iIiIiIiIiIlIw1lq87mcwLZ2YSJzRdIj7zi+stb9jnM66bLlDlHmYWD2Eo/gj5wpyvJY6iIbg5IBmvoqIiIiIiIiIiCyLP9yLnRzFWbWRMxNRvtvTSshYrlk1RmNUC2tVOmPAqW/BH+nFsvyEqTGGziboHgLPr70ErJKvIiIiIiIiIiJSMN6ppyDewLO5DTzQ20xrLMv+jnGiodpLvK1YjW2Qy2LHC1N6YHUz5D04PVSQw60oSr6KiIiIiIiIiEhB+JNj5AdO80T9LTw91EBXQ4pdrZO4ykCtKCZWD5Eo/tCZghwvHjE018GxvtpLwIfKHYDIbKznYbNT2OQo1svjNLRiIjFMOFru0EREKpbN57DZFHZiBLCYhlZMJI4JhcsdmkhZ2cwUNj2JPzWBidVh4vU4sbpyhyUic7C+h82ksJOj2HwWp74VE43rXkBkhcicOMiD9a9gMNvOjpak6ruuUMaA09iOP3IOu3EvxnGXfcy1zfD0GRibsjQlame1NSVfpeJYL4c/eIbcE98F/1ItGHfDHkJbrsFE4+ULTkSkQtlcBu/sUfKHHwB7/mmyMbjbbyS0foduWKVm+akJco/dO3213lg9ketfiVPfXLa4RGR21vPwR3rJPf4d8PIXtztrtxPecaPuBUQqXCo5xQ/GtpF0W9jbPkFLLH/lnaRimcY2GDyDHe3DtK5d9vHaGoKFt46cs9ywpXaSr5r0LRXHpibJPX7ftMQrgNf9NF6BpruLiFQbOzlG/tBPLiVeAazFe/ZB/ORI+QITKSOby5A/+MPpiVeAdJLcY9/GZqbKE5iIzMlmJsk9es+0xCuAf/YI3rnjWFt7r6uKrBTJtOW+p2HKqeeq9jElXquAicQx8Qa8gZ6CHM8xhjUtcGoAMrnaGc+VfJWK4509AnOspucdfxybSZU2IBGRCmfzOfInnpiz3Tt+AJvPlTAikcpgs2n8obOzt01NYNNKvopUGr+/G6w/a1v+xBOghyYiFWl00nLfUz5+3mN/9AQNsXJHJIVimjuw40MFe2i9tjn4/2N9BTnciqDkq1QUa33s1Pjc7ekprD/7xZiISK2yvodNT87dnp6c8TaBSE3w5p9xY3OZEgUiIgtlJ8fmbsxMaearSAUanLD819OWkJ9hX+Yh4m1t5Q5JCsg0tIEbwuvvLsjxwiHD6uag9EDeq40xXclXqSjGODjz1BExje2YkEoVi4hczrhhnOZVc7c3rwJXY6fUoFAYzNyXu0aLbolUHNO6Zu62hlaMu/wFX0SkcM6NWr7/jKUu7LMn+UOiLa0YXXdWFeM4OI0d+APd2Cs82F6orlbI5eF4f0EOV/GUfJWK43SshzkWhgnvuEGLxoiIPIdxXdwNe2C2FUiNQ2jjPl0ES00y0UTQN2bhtK+HiN6JFKk0bvMqiMy+qFZo502YOdpEpPROD1l+eNjSnIDd9mlCxs77AEVWLtPaCV4ev0Dr8MQihs5mOHSmNma/KvkqFcfE6onc9BpMU8eljbE6wte9HFPfUr7AREQqmInXE7nx1Zi65kvb6pqCbfGG8gUmUkbGDRHavB9389WXZn8bB2fdDsJ7X4Sj5KtIxTHx8/cCLasvbYwmCF/9UpzGjrl3FJGSOtFvuf+IpaMBdrdOYIZ6cNrXYWabDCArnglHcRraCrrw4YY2yObh6LmCHK6iaRqMVBxjDKa+hch1rwhqsfk+hCM4ejVQRGROxnExzauI3Pjqi3UsTTiCiSbKHJlIeZlonNDWawl17QwWnnNDwcq9oXC5QxOROTh1TYSvuQ1y6Yv3AiaawBhT7tBEBDh81vJEt2VtC2ztBO/QQYjEMU2d5Q5Nisi0rYGTT2GHz2Da1i/7ePGIYU2L5Zmzls2rIBqu3jFeyVepWCYSw2hGiojIophoHBPVK5kilzOuC/EGqveSXqT6OJEoRFRuTKSSWGt5sttyuDeYtbipA+zQGWxyBKdrF8bRmbaamVgdpr4Z78xRTOu6gjwQ29gOfWNw8LTlus3V+/ujsgMiIiIiIiIiIjIn37c8dCxIvG7thM2rDOSz5Lufxmlsw6lrKneIUgJOexc2M4U/2FOQ40VCho3tcKwPRiert/arkq9SM6y1pLKWqUxtFHQWqXTpnGUqa8nm1R9FpDhyXjDOpLMaZ0SqnedbUpnget8vUD1CEQnkvGBhre4h2LUW1rcaLBbv1FMAmFUbyxyhlIqJJXAa2/BOP4v18gU55rpWqIvCw8erd/xW2QGpCamspWfIcuQc5D3obII966E+Co5ejRApqUzO0j8Oz5yxTGWguQ6u6oKmBIRc9UcRWT7PtyTTcLAnGG+iYdixGta2BvXFRKR6WGuZzAQ1KE8Pg+vA5g7YvAoSUfV3keWaygSJ12Q6uGZvqQv6lT9wBn+kD2ftdtVRrzGmYwOcOIB35llCG/Ys+3iOMexYY3nsJBw+C7vXLT/GSqOZr1L10lnLT45YDpyCqUywml7PENz7pGUiXe7oRGpLLm85fDbok2NTkPNgYBzuOxgkSAq1cqaI1LaxKbjnScuZkWCcSabh0ZOWR09Y0jmNMyLVZDID33nKcrw/uM5PZeHpM/D9Q8EbbyKydEMTlnufsqRzcO3GS4lXm5rA634Kp6kDp7G1zFFKqZlwBKdtPX7fKWxytCDHbIwbutqCB+fDyeobu5V8lao3kYbBiZnbPR+e7Lbk9MqzSMlk8nC4d/a2R09Y0tnSxiMi1SeTszx20jLbs5yzI5DKlD4mESkOz7cc6bVkZ3nzdSI1+z2AiCzMiX7Ld5+2RENw3Saoi51PvOZz5I88ggnHMJ2byhqjlI9pXY2JJ8ifeBzrewU55qYOqI/B/c9WX2k6JV+l6p0emrvT9o4GM2JEpDTGpuZuS2Uhq/4oIsuU92A4OXd772h1XcyL1LJsHs6MzN1+atCS99XnRRYj71keOubz8HFLZxNcvSFYFAnAWp/80Uew+SzOuh0YRymlWmWMwVm9FZtN4506iGX5Y61jDHvWBzma+5+1+FU0fqunSNULuXO3ueoBIiV1pT6nymwismwGzDyDSXie6wIRWVkM819bhBzd8IosxuhkUGagexB2roEda8zFNVKstXjHHsMmR4LEayRa5mil3Ew0jtO5CX/wNH5fd0GOGQsb9qyDgQl46JitmrJ0OhdJ1etqm/sObHMHxFQbXKRkGmJz3yQ1JyCi/igiyxQJwbqWudtXN+sxj0i1iIZh66q527euNlpcV2QBfN/y9Okg8WotXLd5+vnSWh/v2KP4o/0467bjJBrKGK1UEqepA6dlNV730/gj5wpyzOY6w6610D0UJGD9KkjAKvkqVS8Rhd1rZ26vi8KOtbogEymlWARu3jazz4VduHGbIRZWfxSR5Qm7hqs2GOKRmW37N+qhq0g1McbQ1W5oqZvZtrEdGmOlj0lkpekfs9zzZJB87WoNFtaqi16WeM1nyR9+8FLitX6eJ5xSk8yqjTiNreSPPVawBOyqxvMJ2MGgBEHeW9kJ2FC5AxAptkjIsGMNrG2FY31BQf6uNkN7AySiSvSIlJLrGDqbLK+82nCy3zKRho5GWNtiqNObSyJSIPUxw617oX8czgxbYmHY0hmMM+GQzv0i1SQeMbxwJ4xMwskBi+vAllWGxjhE9VBXZE7jU5YneyxnR6AxHsx2rY9N7zM2OUru2KPg5XG6dmvGq8zKGGD1Vhwgf/Qx3K5dOKs3YZZZVK6zyRByLM+che88ZXn+DmiMr8xxXclXqQmRsKE1DC11YC2a7SpSRiE3uCHav9Hg+1b9UUSKIhE1bOqADW3BTYGZrxCsiKxo8Ugw2311k/q7yJWMJC2HzlpODwdvg+xaC6sap/cb6+Xxeo/i957AxOtwunZjwrO8UiJynnEMrNmGE+rG63kGmxzB3bQPE1re701bg+HajZanz8A9T1j2dcH21Ssvp6Pkq9QUY8y8i3CISGmttJOmiKw8GmdEaof6u8jscvkg2Xq83zKcDJKu21cHDywu7zfW+viDp/HOHoFcFqd9HaZ1bZBYE7kCY8Cs2gCxevy+E/hPfg933Q6cji6MWXrV07qY4brNlhMD8ES35Xgf7O2C9W3grJAEj5KvIiIiIiIiIiJVZDJtOTcGvSOWvjHwbfAm6N510NbwnJmuqQm8obP4gz1B0rWxDbO+CxNRXTBZPKexFZNowA504506iNd7FHfVJpy2dZjI0opxu45hWyesbgqSsA8ctTzRDZs7LBvaDQ0VXo5AyVcRERERERERkRXIWstUBsZTMDYFI5OWoSSksmCAxgRs7gjWWYiGDRYLmRT+5Bh+chg7NoBNT4EbCpKuzZ2YaLzcP5ascCYUxqzZimldiz/ci3f2WbzThzH1zThNHZj6VkxdE8ZdXFqyPma4qguSacuZETjcC0+fsdTHLJ1NQZmCljqoj1XWrFglXwvI2mD1tWQyWeZIRORydXV1Ja/9pfFApDJpPBCRC0o9HmgsEKlM5bo2mJycXNBnB5MO4ymHvG/Ie5D1DNm8IZM3pHOGvD899njYpy7qs7o+T2O6l3A+BYNZ8n1Z8tk05LKXPuw6EGuAtk5srD54bzwH5FIF/Gml5jWsgfpOzNQYpMbhzEngZNDmOBCNQygCbhQbS2Bb1sACFuta2wCr62Es5TKacjg14HCs71J72PWpi/jsWZujKe4vKNRijQfGXrgKkGU7d+4ct9xyS7nDEJHneOSRR6ivry/pd2o8EKlMGg9E5IJSjwcaC0QqUzmuDZLJJNdff/0VP2eMwwc/ebAEEYlUr2/+y5/zw//8xwV9tljjgZKvBeT7Pv39/WV5ciYicytHn9R4IFKZNB6IyAWl7pMaC0QqU6XPfBWR0tHMVxEREREREREREZEVxCl3ACIiIiIiIiIiIiLVSMlXERERERERERERkSJQ8lVERERERERERESkCJR8FRERERERERERESkCJV9FREREREREREREikDJVxEREREREREREZEiUPJVREREREREREREpAiUfK0xyWSSP/qjP+IlL3kJ+/bt49Zbb+Uv//IvyWaz5Q6tqHp6enj3u9/NTTfdxE033cT73vc+hoeHyx1WSf3gBz/gTW96E1dffTXXXnstd911F48//ni5w5Ii+d73vsfOnTtn/efZZ58td3gVT2NGYf23//bfZv1d/I3f+I1yh1YTavXcvxDq6wun64jq1t3dzf79+3nggQfKHUpB1Grf/v3f/33e8pa3lDuMotE4tDJU23iyVLU6Di1VtY9foXIHIKVjreXd7343Dz74IG94wxvYsWMHjz/+OB//+Mc5evQoH/vYx8odYlGMjIzwS7/0S2SzWX7lV34Fz/P4h3/4Bw4fPswXv/hFIpFIuUMsugcffJC3v/3tbN++nfe85z3k83k+//nP8+Y3v5nPf/7z7N+/v9whSoEdOXIEYwx/8id/guNMf862Zs2aMkW1MmjMKCxrLceOHeO2227jFa94xbS2devWlSmq2lGr5/6FUF9fOF1HVLfx8XHe9a53kclkyh1KQdRq3/7iF7/IF77wBW666aZyh1IUGodWhmobT5aqVsehpar28QsAKzXjnnvusTt27LCf/exnp23/yEc+Ynfs2GEffvjhMkVWXB/5yEfs7t277dGjRy9u+9GPfmR37Nhh//Vf/7WMkZXOHXfcYX/qp37KTk1NXdw2MDBgb7zxRnvXXXeVMTIplve97332pS99abnDWJE0ZhRWd3e33bFjh/23f/u3codSk2r13L8Q6usLp+uI6nX06FH7qle9yu7YscPu2LHD/uQnPyl3SMtWa307n8/bj370o3bnzp12x44d9s1vfnO5QyoKjUOVrxrHk6WqtXFoqWpl/LLWWpUdqCEPPvggAHfeeee07T/90z8NwGOPPVbymErh61//OjfddBNbt269uO0FL3gBmzdv5utf/3oZIyuNsbExDh06xKte9Sri8fjF7e3t7dx4441V+9+91h05coQtW7aUO4wVqdbHjEI7evQowLR/n1I6tXruXwj19YXRdUT1+spXvsIdd9zB6Ogor3/968sdTsHUUt/OZDLceeedfPSjH+WOO+6gs7Oz3CEVhcahylet48lS1dI4tFS1Mn5doORrDfn1X/91vvrVr5JIJKZtHxkZASAUqr4qFGNjY/T09LB3794ZbXv37uXgwYNliKq06uvr+eY3v8ldd901o21kZATXdUsflBSVtZbjx4+zbds2IDix5fP5Mke1MmjMKLwjR44Al5KvU1NT5Qyn5tTiuX8h1NcXTtcR1evw4cO85jWv4d///d+57rrryh1OQdRa385kMiSTSf7yL/+SP/uzP6vaMV3jUOWrxvFkqWptHFqqWhm/Lqjun06maW5uprm5ecb2f/7nfwbg2muvLXFExdfX1wcw61OUjo4OJiYmmJiYoKGhodShlYzrumzatGnG9kOHDvHoo4/yohe9qPRBSVH19PSQSqXo7u7m9ttv58iRI4RCIV7+8pfz+7//+7S2tpY7xIqlMaPwjhw5Ql1dHX/yJ3/CN77xDaampujq6uI973kPr3nNa8odXtWrxXP/QqivL5yuI6rXe9/73qqrO1hrfbu+vp5vf/vbVZ+00DhU+apxPFmqWhuHlqpWxq8LauOnrHIDAwPzticSCerq6mZt++pXv8q3vvUtbr75Zq6++upihFdWk5OTANNeT7kgGo0CwSysWhv4Jicn+e3f/m0A3vGOd5Q5Glmohfb1CzMNDxw4wNvf/nbWr1/PI488wqc//WmOHj3KF7/4RWKxWClCXnE0ZhTe0aNHmZycZGJigg9/+MOMj4/z6U9/mve+973kcjl+9md/ttwhrkg69y+P+vry6Dqici1mbKjGREmt9W3HcWYsrForNA4VX62PJ0tVa+PQUtXa+KXkaxW40pO+d77znbznPe+Zsf073/kOv/d7v0dHRwd/+qd/Wqzwyspae8XPGGNKEEnlSKVS/Nqv/RqHDh3iV3/1V6t7RcEqs9C+3tXVxbve9S5uv/12Nm/eDMBtt93Gxo0bef/738+XvvQl3vzmN5ci5BVHY0bh/dzP/Ry+7/MLv/ALF7e95jWv4Wd+5mf48z//c26//Xa9LrgEOvcvj/r60uk6orItdWyoFurbtUHjUGnU+niyVBqHZDZKvlaBP/qjP5q3fffu3TO2/cd//Ae/8zu/Q11dHX//93/P2rVrixVeWV2ocZfJZGa0XdhWX19f0pjKaXx8nF/91V/l0Ucf5XWve51OlivMQvv6jh072LFjx4z2173udXzwgx/kgQceUPJ1DhozCu+Nb3zjjG2xWIw77riDv/3bv+Xo0aPs3LmzDJGtbDr3L4/6+tLoOqLyLWVsqCbq29VP41Dp1Pp4slQah2Q2Sr5WgcWuJvgv//Iv/OEf/iFNTU188pOfZNeuXUWKrPwu3FjO9spEf38/jY2NMxYhqVZDQ0O87W1v45lnnuENb3gDf/iHf6gnbivMclcODYfDNDY2asGjeWjMKJ0LtYf1+7g0Ovcvj/r64uk6YmWo9VXG1berm8ah0qr18WSpNA7JbGqnwIIAQZ2397///bS3t/O5z32u6m++GhsbWb9+/awrCj799NPs27evDFGVXjKZvHihctddd3H33XfrQqWK/dVf/RUve9nLSCaT07aPjo4yPDzMunXryhRZ5dOYUVh9fX285jWv4W//9m9ntJ04cQKA9evXlzqsmlNr5/6FUF9fHF1HyEqhvl29NA7JSqFxSGaj5GsNOXr06MWVzj/zmc+wdevWcodUEq94xSu4//77OXbs2MVtP/7xjzlx4gSvfvWryxhZ6dx9990888wz/OIv/iK/+7u/W+5wpMjWrl3L6dOn+dKXvjRt+8c+9jEAbr/99nKEtWJozCiczs5OxsfH+eIXvzjtYcDZs2f58pe/zM0330xHR0cZI6x+tXruXwj19YXTdYSsJOrb1UnjkKwkGofkuVR2oIb87d/+Ldlslhe/+MUcOHCAAwcOTGvfuXNnVc6Gefvb387XvvY17rrrLt761reSyWT4xCc+wd69e7njjjvKHV7RHTt2jK997Ws0Njaye/duvva1r834TC38e6gld955J1/4whf48z//c06ePMmOHTu4//77+fa3v80b3vAGbrzxxnKHWNFqfcwotPe///28613v4ud//ud5/etfz+TkJJ/73OcIhUK8//3vL3d4Va9Wz/0Lob6+MLqOkJVGfbv6aBySlUbjkDyXsQtZik2qwgtf+EIGBwfnbH/3u9/Nf//v/72EEZXO8ePH+ZM/+RMefvhhYrEYt9xyC+973/su1hysZv/8z//MBz7wgXk/c/jw4dIEIyUzOjrKRz7yEb7zne8wNjZGV1cXb3jDG/jFX/xFHEcvPVxJLY8ZxXDvvffy8Y9/nEOHDhGLxbjpppt473vfq1mYJVDL5/6FUF+/Ml1H1IYvf/nL/O7v/i6f/vSnufnmm8sdzrLVat++9dZbWbduHZ/5zGfKHUpBaRxaWaptPFmqWh2Hlqpax68LlHwVERERERERERERKQJNfxIREREREREREREpAiVfRURERERERERERIpAyVcRERERERERERGRIlDyVURERERERERERKQIlHwVERERERERERERKQIlX0VERERERERERESKQMlXERERERERERERkSJQ8lVERERERERERESkCJR8FRERERERERERESkCJV9FREREREREREREikDJVxEREREREREREZEiCJU7AJFS++pXv8pv//ZvL/jzb3zjG/nABz5QvIBEpGw0HojIBRoPRAQ0FojIJRoPpFCUfJWaE41GufPOO+f9zFNPPcWRI0cA2L9/fynCEpEy0HggIhdoPBAR0FggIpdoPJBCMdZaW+4gRCrJo48+ylvf+lZSqRSve93r+NCHPlTukESkTDQeiMgFGg9EBDQWiMglGg9koZR8FbnMoUOHeMtb3sL4+Dgvf/nL+eu//mtc1y13WCJSBhoPROQCjQciAhoLROQSjQeyGEq+ipzX3d3Nm970JgYGBnj+85/P//2//5dIJFLusESkDDQeiMgFGg9EBDQWiMglGg9ksZR8FQH6+vp44xvfyJkzZ9i/fz+f/OQnqaurK3dYIlIGGg9E5AKNByICGgtE5BKNB7IUSr5KzRsdHeXNb34zR44cYdu2bXz2s5+lpaWl3GGJSBloPBCRCzQeiAhoLBCRSzQeyFI55Q5ApJwmJyd5xzvewZEjR1i3bh3/+I//OOfg+cwzz/CmN72J/fv3c+utt/LZz362xNGKSDEtdDx48skned/73sfLX/5ydu7cyV/+5V+WIVoRKaaFjgff+MY3eMc73sGLXvQirr/+en7hF36Bhx9+uAwRi0gxLHQs+MpXvsJrX/tabrjhBq655hruvPNOvv71r5chYhEplsXkDi44fPgwe/bs4SUveUmJopRKFSp3ACLlks1mefe7382BAwfo6Ojgn/7pn+js7Jz1s8PDw/zyL/8y+/fv5+Mf/zgHDx7kQx/6EPX19fzsz/5saQMXkYJbzHjw6KOPcuDAAa6//npGRkZKHKmIFNtixoNPf/rTbNy4kT/4gz8gkUjw5S9/mbvuuosvfelL7Nq1q8SRi0ghLWYsGBsb47bbbmP37t1Eo1Huvfde3vve9xKNRrnttttKHLmIFNpixoPLfehDH6K5ubn4AUrFU9kBqUme5/Gbv/mbfPvb36axsZHPfOYz894kfexjH+Ozn/0s9913H/F4HIAPfOAD3H///XzrW98qVdgiUgSLHQ9838dxghdHbr31Vm6//Xbe8573lCpcESmixY4HIyMj02a9+L7P7bffznXXXccHP/jBUoQsIkWw2LFgNm984xvp6Ojgb/7mb4oUpYiUwlLHg3vvvZcPfehDvOY1r+FrX/sa3//+90sQrVQqlR2QmvT7v//7fPvb3yYej/N3f/d3Vxw8f/jDH3LLLbdcTLwCvOpVr+LkyZP09PQUO1wRKaLFjgcXEq8iUn0WOx4893VDx3HYvn07p0+fLmaYIlJkix0LZtPc3Ew+ny9CdCJSSksZD7LZLH/2Z3/G//yf/5NIJFKCKKXS6Q5Sas6f/dmf8W//9m+Ew2H++q//muuvv/6K+5w8eZItW7ZM23bh78ePHy9KnCJSfEsZD0SkOhViPPA8jyeffJINGzYUIUIRKYXljAX5fJ5kMsk3vvENfvzjH/OGN7yhiJGKSLEtdTz41Kc+RWtrK69+9auLHKGsFKr5KjXl7/7u7/jHf/xHHMfhwx/+MLfccsuC9hsfH6ehoWHatqampottIrLyLHU8EJHqU6jx4LOf/Sy9vb286U1vKnCEIlIKyxkLBgYGeNGLXgSA67q8//3v17WFyAq21PFgcHCQv/u7v+MTn/hEkSOUlUTJV6kZ//Iv/3JxVfI/+IM/0FMokRqm8UBELijUeHDgwAH+4i/+gl/7tV9j586dhQxRREpguWNBS0sLX/rSl5icnOQHP/gBH/zgB2lubuaVr3xlMcIVkSJaznjwkY98hBe/+MVce+21xQpPViAlX6UmHDlyhD/8wz8EoK2tjQMHDnDgwIF593nnO9/Jpk2bAGhsbGRiYmJa+4UZr42NjYUPWESKZrnjgYhUj0KNB6dPn+bXf/3XeelLX8q73/3uYoUrIkVSiLEgFApx1VVXAfC85z2PsbExPvKRjyj5KrLCLGc8ePbZZ/l//+//8YUvfOFiviCTyWCtZXx8nFgsphqwNUrJV6kJBw8exPd9AIaGhvjKV75yxX1+53d+5+KfN23axIkTJ6a1X6j1+txasCJS2ZY7HohI9SjEeDA+Ps6v/uqvsm7dOv7sz/4MY0xRYhWR4inGtcHu3bv58pe/XJD4RKR0ljMedHd3k8vluPPOO2d85sYbb+QDH/gAb3zjGwsbsKwIxlpryx2ESKX72Mc+xuc+9znuu+8+YrEYAHfffTc/+tGP+Na3vlXm6ESkXG699VZuv/123vOe95Q7FBEpg2w2y6/8yq9w+vRpvvCFL9De3l7ukESkQvzWb/0WTzzxBPfcc0+5QxGREhkeHubIkSPTtn3lK1/hu9/9Ln/913/Npk2b6OzsLFN0Uk6a+SqyAG984xv5zGc+w2/+5m/yS7/0Szz99NP867/+K3/8x39c7tBEpMSGh4d58MEHAUilUpw4cYJvfvObxONxLawhUmP+8A//kIceeogPfvCDnD59mtOnTwMQiUTYs2dPmaMTkVJ5y1vewitf+Uq2bNlCJpPhO9/5Dv/xH//BBz/4wXKHJiIl1Nrays033zxt24MPPkgkEpmxXWqLZr6KLNAzzzzD3XffzVNPPUV7eztvfetbectb3lLusESkxB544AF+8Rd/ccb2devWcd9995UhIhEpl1tvvZUzZ87M2K7xQKS2/PEf/zHf//73OXfuHPF4nG3btvG2t72Nl770peUOTUTK7KMf/Shf/OIX+f73v1/uUKSMlHwVERERERERERERKQKn3AGIiIiIiIiIiIiIVCMlX0VERERERERERESKQMlXERERERERERERkSJQ8lVERERERERERESkCJR8FRERERERERERESkCJV9FREREREREREREikDJVxEREREREREREZEiUPJVREREREREREREpAiUfBUREREREREREREpAiVfRURERERERERERIpAyVcRERERERERERGRIvj/AXtXrYLSjmMtAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1386.69x1250 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 700x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svm_results, [f1s_all, accs_all, aucs_all, \n",
    "              preds_all, expecteds_all, probs_all] = run_all_data_inputs_loo(clinical_df, brainvolume_df, mcvae1,\n",
    "                                                                             path_name = f\"mean_latent_space_{num_latent_dims}.png\", \n",
    "                                                                               sig_test_flag=True)\n",
    "\n",
    "pd.DataFrame.to_csv(svm_results, f\"final_metrics_{num_latent_dims}.csv\")\n",
    "\n",
    "names = ['Clinical-only', 'Brain volumes only', 'Concatenated', 'MCVAE']\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "color = iter(plt.cm.rainbow(np.linspace(0, 1, 4)))\n",
    "\n",
    "for i, dict_instance in enumerate(probs_all):\n",
    "    y_scores = dict_instance['Support Vector']\n",
    "    y_trues = expecteds_all[i]['Support Vector']\n",
    "    \n",
    "    fpr, tpr, thresholds = metrics.roc_curve(y_trues, y_scores, pos_label=1)\n",
    "    roc_auc = metrics.auc(fpr, tpr)\n",
    "\n",
    "    c = next(color)\n",
    "    display = metrics.RocCurveDisplay(fpr=fpr, tpr=tpr, roc_auc=roc_auc)\n",
    "    display.plot(ax=ax, name=names[i], c=c)\n",
    "\n",
    "ax.plot([0,1],[0,1],'k--')\n",
    "plt.tight_layout()\n",
    "plt.savefig(f\"roc_curve_{num_latent_dims}.png\",dpi=180)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "mcvae_cca",
   "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": "3.10.8"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "be264754b1334427237230a888dcff0ae5ae8a32d0c7044e5d42ba6f66c6f182"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}