fno_2d.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9be00fbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.nn.parameter import Parameter\n",
    "import matplotlib.pyplot as plt\n",
    "import operator\n",
    "from functools import reduce\n",
    "from functools import partial\n",
    "from timeit import default_timer\n",
    "from utilities3 import *\n",
    "from Adam import Adam\n",
    "from scipy import integrate\n",
    "from fourier_2d import *\n",
    "from scipy.stats import multivariate_normal\n",
    "import os \n",
    "os.environ['CUDA_VISIBLE_DEVICES'] = '0' \n",
    "os.environ['CUDA_LAUNCH_BLOCKING'] = \"1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "25329d5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_data = np.load('data/spde_2d_x.npy')\n",
    "y_data = np.load('data/spde_2d_y.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f7b319b9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total parameters: 592129\n",
      "epoch 1/800 L2 = 0.890474, MSE = 0.117998, using 3.671214s\n",
      "epoch 2/800 L2 = 0.566423, MSE = 0.041243, using 1.221241s\n",
      "epoch 3/800 L2 = 0.346702, MSE = 0.012177, using 1.213205s\n",
      "epoch 4/800 L2 = 0.235494, MSE = 0.004276, using 1.266953s\n",
      "epoch 5/800 L2 = 0.197749, MSE = 0.002758, using 1.211074s\n",
      "epoch 6/800 L2 = 0.132593, MSE = 0.001529, using 1.220713s\n",
      "epoch 7/800 L2 = 0.086644, MSE = 0.000834, using 1.249378s\n",
      "epoch 8/800 L2 = 0.070784, MSE = 0.000556, using 1.215145s\n",
      "epoch 9/800 L2 = 0.059969, MSE = 0.000415, using 1.215824s\n",
      "epoch 10/800 L2 = 0.059764, MSE = 0.000381, using 1.265735s\n",
      "epoch 11/800 L2 = 0.041189, MSE = 0.000294, using 1.214438s\n",
      "epoch 12/800 L2 = 0.040962, MSE = 0.000231, using 1.208911s\n",
      "epoch 13/800 L2 = 0.039284, MSE = 0.000238, using 1.208014s\n",
      "epoch 14/800 L2 = 0.044012, MSE = 0.000241, using 1.214088s\n",
      "epoch 15/800 L2 = 0.044371, MSE = 0.000241, using 1.221410s\n",
      "epoch 16/800 L2 = 0.033031, MSE = 0.000185, using 1.344504s\n",
      "epoch 17/800 L2 = 0.052839, MSE = 0.000275, using 1.310378s\n",
      "epoch 18/800 L2 = 0.034844, MSE = 0.000204, using 1.209799s\n",
      "epoch 19/800 L2 = 0.034519, MSE = 0.000180, using 1.248858s\n",
      "epoch 20/800 L2 = 0.031082, MSE = 0.000170, using 1.218402s\n",
      "epoch 21/800 L2 = 0.039821, MSE = 0.000193, using 1.208111s\n",
      "epoch 22/800 L2 = 0.029343, MSE = 0.000154, using 1.207586s\n",
      "epoch 23/800 L2 = 0.040428, MSE = 0.000189, using 1.208114s\n",
      "epoch 24/800 L2 = 0.041985, MSE = 0.000201, using 1.219865s\n",
      "epoch 25/800 L2 = 0.030999, MSE = 0.000155, using 1.214941s\n",
      "epoch 26/800 L2 = 0.025783, MSE = 0.000133, using 1.226429s\n",
      "epoch 27/800 L2 = 0.025157, MSE = 0.000134, using 1.210157s\n",
      "epoch 28/800 L2 = 0.036976, MSE = 0.000161, using 1.216365s\n",
      "epoch 29/800 L2 = 0.023622, MSE = 0.000110, using 1.223093s\n",
      "epoch 30/800 L2 = 0.046916, MSE = 0.000278, using 1.221858s\n",
      "epoch 31/800 L2 = 0.029273, MSE = 0.000120, using 1.231478s\n",
      "epoch 32/800 L2 = 0.030035, MSE = 0.000123, using 1.222532s\n",
      "epoch 33/800 L2 = 0.019364, MSE = 0.000100, using 1.215195s\n",
      "epoch 34/800 L2 = 0.032498, MSE = 0.000130, using 1.220272s\n",
      "epoch 35/800 L2 = 0.023247, MSE = 0.000103, using 1.206137s\n",
      "epoch 36/800 L2 = 0.023714, MSE = 0.000093, using 1.214365s\n",
      "epoch 37/800 L2 = 0.024299, MSE = 0.000092, using 1.206420s\n",
      "epoch 38/800 L2 = 0.025243, MSE = 0.000101, using 1.212540s\n",
      "epoch 39/800 L2 = 0.024539, MSE = 0.000099, using 1.229986s\n",
      "epoch 40/800 L2 = 0.025202, MSE = 0.000096, using 1.219837s\n",
      "epoch 41/800 L2 = 0.033564, MSE = 0.000133, using 1.214180s\n",
      "epoch 42/800 L2 = 0.021120, MSE = 0.000081, using 1.219793s\n",
      "epoch 43/800 L2 = 0.031922, MSE = 0.000124, using 1.214190s\n",
      "epoch 44/800 L2 = 0.026453, MSE = 0.000100, using 1.214490s\n",
      "epoch 45/800 L2 = 0.026423, MSE = 0.000098, using 1.242816s\n",
      "epoch 46/800 L2 = 0.029877, MSE = 0.000131, using 1.210801s\n",
      "epoch 47/800 L2 = 0.027836, MSE = 0.000110, using 1.239564s\n",
      "epoch 48/800 L2 = 0.021082, MSE = 0.000083, using 1.223604s\n",
      "epoch 49/800 L2 = 0.026479, MSE = 0.000089, using 1.225904s\n",
      "epoch 50/800 L2 = 0.020299, MSE = 0.000076, using 1.196846s\n",
      "epoch 51/800 L2 = 0.022366, MSE = 0.000073, using 1.212307s\n",
      "epoch 52/800 L2 = 0.039115, MSE = 0.000188, using 1.213105s\n",
      "epoch 53/800 L2 = 0.022826, MSE = 0.000083, using 1.212996s\n",
      "epoch 54/800 L2 = 0.022114, MSE = 0.000068, using 1.220269s\n",
      "epoch 55/800 L2 = 0.029052, MSE = 0.000090, using 1.228480s\n",
      "epoch 56/800 L2 = 0.031107, MSE = 0.000095, using 1.214670s\n",
      "epoch 57/800 L2 = 0.018442, MSE = 0.000066, using 1.222767s\n",
      "epoch 58/800 L2 = 0.014877, MSE = 0.000055, using 1.206653s\n",
      "epoch 59/800 L2 = 0.019307, MSE = 0.000067, using 1.206811s\n",
      "epoch 60/800 L2 = 0.025365, MSE = 0.000075, using 1.210209s\n",
      "epoch 61/800 L2 = 0.020537, MSE = 0.000071, using 1.200003s\n",
      "epoch 62/800 L2 = 0.019072, MSE = 0.000055, using 1.203516s\n",
      "epoch 63/800 L2 = 0.021797, MSE = 0.000068, using 1.200955s\n",
      "epoch 64/800 L2 = 0.016961, MSE = 0.000055, using 1.203859s\n",
      "epoch 65/800 L2 = 0.024957, MSE = 0.000080, using 1.216732s\n",
      "epoch 66/800 L2 = 0.026129, MSE = 0.000071, using 1.220902s\n",
      "epoch 67/800 L2 = 0.021867, MSE = 0.000062, using 1.211973s\n",
      "epoch 68/800 L2 = 0.020563, MSE = 0.000056, using 1.209923s\n",
      "epoch 69/800 L2 = 0.027140, MSE = 0.000077, using 1.226620s\n",
      "epoch 70/800 L2 = 0.027687, MSE = 0.000076, using 1.214683s\n",
      "epoch 71/800 L2 = 0.022740, MSE = 0.000069, using 1.216291s\n",
      "epoch 72/800 L2 = 0.022559, MSE = 0.000060, using 1.207582s\n",
      "epoch 73/800 L2 = 0.028395, MSE = 0.000104, using 1.218646s\n",
      "epoch 74/800 L2 = 0.018404, MSE = 0.000056, using 1.204434s\n",
      "epoch 75/800 L2 = 0.019532, MSE = 0.000051, using 1.212632s\n",
      "epoch 76/800 L2 = 0.021989, MSE = 0.000066, using 1.214852s\n",
      "epoch 77/800 L2 = 0.018603, MSE = 0.000058, using 1.219287s\n",
      "epoch 78/800 L2 = 0.030113, MSE = 0.000088, using 1.214939s\n",
      "epoch 79/800 L2 = 0.031926, MSE = 0.000085, using 1.219415s\n",
      "epoch 80/800 L2 = 0.036128, MSE = 0.000110, using 1.217375s\n",
      "epoch 81/800 L2 = 0.022873, MSE = 0.000068, using 1.209179s\n",
      "epoch 82/800 L2 = 0.019545, MSE = 0.000055, using 1.209439s\n",
      "epoch 83/800 L2 = 0.016021, MSE = 0.000049, using 1.220543s\n",
      "epoch 84/800 L2 = 0.015105, MSE = 0.000046, using 1.222004s\n",
      "epoch 85/800 L2 = 0.017613, MSE = 0.000056, using 1.231935s\n",
      "epoch 86/800 L2 = 0.022258, MSE = 0.000063, using 1.222627s\n",
      "epoch 87/800 L2 = 0.018560, MSE = 0.000053, using 1.239104s\n",
      "epoch 88/800 L2 = 0.016758, MSE = 0.000043, using 1.222008s\n",
      "epoch 89/800 L2 = 0.017361, MSE = 0.000043, using 1.220234s\n",
      "epoch 90/800 L2 = 0.018212, MSE = 0.000043, using 1.208818s\n",
      "epoch 91/800 L2 = 0.017610, MSE = 0.000043, using 1.213809s\n",
      "epoch 92/800 L2 = 0.021060, MSE = 0.000054, using 1.220980s\n",
      "epoch 93/800 L2 = 0.022269, MSE = 0.000067, using 1.226936s\n",
      "epoch 94/800 L2 = 0.020043, MSE = 0.000058, using 1.227162s\n",
      "epoch 95/800 L2 = 0.013390, MSE = 0.000038, using 1.224610s\n",
      "epoch 96/800 L2 = 0.019528, MSE = 0.000047, using 1.219126s\n",
      "epoch 97/800 L2 = 0.014239, MSE = 0.000035, using 1.221139s\n",
      "epoch 98/800 L2 = 0.022195, MSE = 0.000060, using 1.214797s\n",
      "epoch 99/800 L2 = 0.022278, MSE = 0.000050, using 1.221098s\n",
      "epoch 100/800 L2 = 0.016919, MSE = 0.000040, using 1.223672s\n",
      "epoch 101/800 L2 = 0.011580, MSE = 0.000031, using 1.224090s\n",
      "epoch 102/800 L2 = 0.011784, MSE = 0.000030, using 1.219036s\n",
      "epoch 103/800 L2 = 0.013624, MSE = 0.000031, using 1.233425s\n",
      "epoch 104/800 L2 = 0.011814, MSE = 0.000030, using 1.214492s\n",
      "epoch 105/800 L2 = 0.009544, MSE = 0.000026, using 1.218583s\n",
      "epoch 106/800 L2 = 0.010793, MSE = 0.000029, using 1.218881s\n",
      "epoch 107/800 L2 = 0.009876, MSE = 0.000026, using 1.227849s\n",
      "epoch 108/800 L2 = 0.014251, MSE = 0.000033, using 1.225023s\n",
      "epoch 109/800 L2 = 0.015092, MSE = 0.000035, using 1.228973s\n",
      "epoch 110/800 L2 = 0.010971, MSE = 0.000027, using 1.225047s\n",
      "epoch 111/800 L2 = 0.011497, MSE = 0.000028, using 1.221049s\n",
      "epoch 112/800 L2 = 0.010351, MSE = 0.000026, using 1.228785s\n",
      "epoch 113/800 L2 = 0.010767, MSE = 0.000026, using 1.222738s\n",
      "epoch 114/800 L2 = 0.014876, MSE = 0.000032, using 1.228292s\n",
      "epoch 115/800 L2 = 0.010198, MSE = 0.000024, using 1.241116s\n",
      "epoch 116/800 L2 = 0.010397, MSE = 0.000026, using 1.223554s\n",
      "epoch 117/800 L2 = 0.011540, MSE = 0.000026, using 1.218000s\n",
      "epoch 118/800 L2 = 0.008839, MSE = 0.000022, using 1.230589s\n",
      "epoch 119/800 L2 = 0.009479, MSE = 0.000022, using 1.213119s\n",
      "epoch 120/800 L2 = 0.015476, MSE = 0.000028, using 1.213051s\n",
      "epoch 121/800 L2 = 0.012244, MSE = 0.000026, using 1.217201s\n",
      "epoch 122/800 L2 = 0.010779, MSE = 0.000024, using 1.214999s\n",
      "epoch 123/800 L2 = 0.009410, MSE = 0.000020, using 1.207529s\n",
      "epoch 124/800 L2 = 0.010067, MSE = 0.000020, using 1.208112s\n",
      "epoch 125/800 L2 = 0.013236, MSE = 0.000029, using 1.209312s\n",
      "epoch 126/800 L2 = 0.010222, MSE = 0.000021, using 1.216637s\n",
      "epoch 127/800 L2 = 0.009645, MSE = 0.000020, using 1.217262s\n",
      "epoch 128/800 L2 = 0.010136, MSE = 0.000020, using 1.209420s\n",
      "epoch 129/800 L2 = 0.009382, MSE = 0.000019, using 1.210189s\n",
      "epoch 130/800 L2 = 0.011139, MSE = 0.000023, using 1.209012s\n",
      "epoch 131/800 L2 = 0.011311, MSE = 0.000023, using 1.211902s\n",
      "epoch 132/800 L2 = 0.011989, MSE = 0.000024, using 1.211761s\n",
      "epoch 133/800 L2 = 0.008425, MSE = 0.000019, using 1.219398s\n",
      "epoch 134/800 L2 = 0.010564, MSE = 0.000019, using 1.214690s\n",
      "epoch 135/800 L2 = 0.010567, MSE = 0.000020, using 1.216249s\n",
      "epoch 136/800 L2 = 0.014501, MSE = 0.000027, using 1.219063s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 137/800 L2 = 0.011578, MSE = 0.000023, using 1.214995s\n",
      "epoch 138/800 L2 = 0.012648, MSE = 0.000023, using 1.218459s\n",
      "epoch 139/800 L2 = 0.010112, MSE = 0.000019, using 1.211948s\n",
      "epoch 140/800 L2 = 0.011299, MSE = 0.000020, using 1.209781s\n",
      "epoch 141/800 L2 = 0.010701, MSE = 0.000019, using 1.231464s\n",
      "epoch 142/800 L2 = 0.012605, MSE = 0.000022, using 1.221191s\n",
      "epoch 143/800 L2 = 0.011747, MSE = 0.000021, using 1.219527s\n",
      "epoch 144/800 L2 = 0.011383, MSE = 0.000020, using 1.226337s\n",
      "epoch 145/800 L2 = 0.020289, MSE = 0.000039, using 1.239327s\n",
      "epoch 146/800 L2 = 0.014769, MSE = 0.000024, using 1.221756s\n",
      "epoch 147/800 L2 = 0.009756, MSE = 0.000019, using 1.212089s\n",
      "epoch 148/800 L2 = 0.011403, MSE = 0.000020, using 1.227838s\n",
      "epoch 149/800 L2 = 0.009254, MSE = 0.000019, using 1.219212s\n",
      "epoch 150/800 L2 = 0.008263, MSE = 0.000016, using 1.211305s\n",
      "epoch 151/800 L2 = 0.008913, MSE = 0.000016, using 1.214694s\n",
      "epoch 152/800 L2 = 0.011696, MSE = 0.000019, using 1.211292s\n",
      "epoch 153/800 L2 = 0.010926, MSE = 0.000018, using 1.223279s\n",
      "epoch 154/800 L2 = 0.011237, MSE = 0.000021, using 1.215560s\n",
      "epoch 155/800 L2 = 0.011638, MSE = 0.000018, using 1.212574s\n",
      "epoch 156/800 L2 = 0.008985, MSE = 0.000015, using 1.228692s\n",
      "epoch 157/800 L2 = 0.009291, MSE = 0.000017, using 1.212243s\n",
      "epoch 158/800 L2 = 0.010477, MSE = 0.000019, using 1.223638s\n",
      "epoch 159/800 L2 = 0.012272, MSE = 0.000019, using 1.214380s\n",
      "epoch 160/800 L2 = 0.018155, MSE = 0.000047, using 1.208544s\n",
      "epoch 161/800 L2 = 0.008423, MSE = 0.000016, using 1.223820s\n",
      "epoch 162/800 L2 = 0.010419, MSE = 0.000016, using 1.222768s\n",
      "epoch 163/800 L2 = 0.007951, MSE = 0.000014, using 1.221866s\n",
      "epoch 164/800 L2 = 0.009090, MSE = 0.000017, using 1.216780s\n",
      "epoch 165/800 L2 = 0.011700, MSE = 0.000018, using 1.201360s\n",
      "epoch 166/800 L2 = 0.013427, MSE = 0.000022, using 1.226667s\n",
      "epoch 167/800 L2 = 0.008170, MSE = 0.000015, using 1.215729s\n",
      "epoch 168/800 L2 = 0.011065, MSE = 0.000017, using 1.224113s\n",
      "epoch 169/800 L2 = 0.012307, MSE = 0.000019, using 1.207945s\n",
      "epoch 170/800 L2 = 0.012984, MSE = 0.000019, using 1.198365s\n",
      "epoch 171/800 L2 = 0.010464, MSE = 0.000018, using 1.222488s\n",
      "epoch 172/800 L2 = 0.008352, MSE = 0.000014, using 1.208865s\n",
      "epoch 173/800 L2 = 0.010380, MSE = 0.000015, using 1.211431s\n",
      "epoch 174/800 L2 = 0.017518, MSE = 0.000034, using 1.202390s\n",
      "epoch 175/800 L2 = 0.013905, MSE = 0.000025, using 1.217903s\n",
      "epoch 176/800 L2 = 0.007320, MSE = 0.000012, using 1.213413s\n",
      "epoch 177/800 L2 = 0.013525, MSE = 0.000021, using 1.215311s\n",
      "epoch 178/800 L2 = 0.008259, MSE = 0.000014, using 1.198833s\n",
      "epoch 179/800 L2 = 0.008333, MSE = 0.000014, using 1.200071s\n",
      "epoch 180/800 L2 = 0.015767, MSE = 0.000028, using 1.207577s\n",
      "epoch 181/800 L2 = 0.012568, MSE = 0.000020, using 1.206348s\n",
      "epoch 182/800 L2 = 0.007884, MSE = 0.000012, using 1.204441s\n",
      "epoch 183/800 L2 = 0.016306, MSE = 0.000026, using 1.199008s\n",
      "epoch 184/800 L2 = 0.009127, MSE = 0.000014, using 1.200208s\n",
      "epoch 185/800 L2 = 0.010819, MSE = 0.000016, using 1.205870s\n",
      "epoch 186/800 L2 = 0.009272, MSE = 0.000016, using 1.203458s\n",
      "epoch 187/800 L2 = 0.011595, MSE = 0.000019, using 1.205631s\n",
      "epoch 188/800 L2 = 0.011242, MSE = 0.000019, using 1.205738s\n",
      "epoch 189/800 L2 = 0.010945, MSE = 0.000016, using 1.208271s\n",
      "epoch 190/800 L2 = 0.009573, MSE = 0.000014, using 1.210352s\n",
      "epoch 191/800 L2 = 0.013875, MSE = 0.000027, using 1.207723s\n",
      "epoch 192/800 L2 = 0.010755, MSE = 0.000015, using 1.213181s\n",
      "epoch 193/800 L2 = 0.010324, MSE = 0.000015, using 1.205198s\n",
      "epoch 194/800 L2 = 0.007511, MSE = 0.000013, using 1.192255s\n",
      "epoch 195/800 L2 = 0.014017, MSE = 0.000025, using 1.208747s\n",
      "epoch 196/800 L2 = 0.010295, MSE = 0.000015, using 1.202874s\n",
      "epoch 197/800 L2 = 0.008706, MSE = 0.000013, using 1.204020s\n",
      "epoch 198/800 L2 = 0.008569, MSE = 0.000012, using 1.204183s\n",
      "epoch 199/800 L2 = 0.010394, MSE = 0.000019, using 1.216858s\n",
      "epoch 200/800 L2 = 0.008477, MSE = 0.000012, using 1.214051s\n",
      "epoch 201/800 L2 = 0.006517, MSE = 0.000012, using 1.220473s\n",
      "epoch 202/800 L2 = 0.006743, MSE = 0.000010, using 1.226313s\n",
      "epoch 203/800 L2 = 0.007437, MSE = 0.000011, using 1.210969s\n",
      "epoch 204/800 L2 = 0.006355, MSE = 0.000011, using 1.214247s\n",
      "epoch 205/800 L2 = 0.005343, MSE = 0.000010, using 1.203468s\n",
      "epoch 206/800 L2 = 0.006387, MSE = 0.000010, using 1.214989s\n",
      "epoch 207/800 L2 = 0.007542, MSE = 0.000012, using 1.222200s\n",
      "epoch 208/800 L2 = 0.006250, MSE = 0.000010, using 1.215973s\n",
      "epoch 209/800 L2 = 0.005796, MSE = 0.000010, using 1.210105s\n",
      "epoch 210/800 L2 = 0.005625, MSE = 0.000009, using 1.212691s\n",
      "epoch 211/800 L2 = 0.007735, MSE = 0.000011, using 1.203832s\n",
      "epoch 212/800 L2 = 0.005981, MSE = 0.000010, using 1.201971s\n",
      "epoch 213/800 L2 = 0.008014, MSE = 0.000011, using 1.211899s\n",
      "epoch 214/800 L2 = 0.009788, MSE = 0.000013, using 1.218830s\n",
      "epoch 215/800 L2 = 0.007621, MSE = 0.000011, using 1.210145s\n",
      "epoch 216/800 L2 = 0.005487, MSE = 0.000009, using 1.208488s\n",
      "epoch 217/800 L2 = 0.005948, MSE = 0.000009, using 1.227716s\n",
      "epoch 218/800 L2 = 0.005855, MSE = 0.000009, using 1.203619s\n",
      "epoch 219/800 L2 = 0.005343, MSE = 0.000009, using 1.212680s\n",
      "epoch 220/800 L2 = 0.005161, MSE = 0.000009, using 1.213239s\n",
      "epoch 221/800 L2 = 0.005177, MSE = 0.000009, using 1.200769s\n",
      "epoch 222/800 L2 = 0.006189, MSE = 0.000009, using 1.211978s\n",
      "epoch 223/800 L2 = 0.006422, MSE = 0.000010, using 1.214376s\n",
      "epoch 224/800 L2 = 0.008504, MSE = 0.000011, using 1.202834s\n",
      "epoch 225/800 L2 = 0.008715, MSE = 0.000010, using 1.204104s\n",
      "epoch 226/800 L2 = 0.005587, MSE = 0.000008, using 1.201045s\n",
      "epoch 227/800 L2 = 0.006818, MSE = 0.000011, using 1.201806s\n",
      "epoch 228/800 L2 = 0.006852, MSE = 0.000010, using 1.206677s\n",
      "epoch 229/800 L2 = 0.008274, MSE = 0.000012, using 1.214450s\n",
      "epoch 230/800 L2 = 0.005085, MSE = 0.000008, using 1.203605s\n",
      "epoch 231/800 L2 = 0.005714, MSE = 0.000009, using 1.224175s\n",
      "epoch 232/800 L2 = 0.005278, MSE = 0.000008, using 1.217958s\n",
      "epoch 233/800 L2 = 0.005541, MSE = 0.000008, using 1.210502s\n",
      "epoch 234/800 L2 = 0.008200, MSE = 0.000010, using 1.211782s\n",
      "epoch 235/800 L2 = 0.006983, MSE = 0.000010, using 1.212125s\n",
      "epoch 236/800 L2 = 0.005354, MSE = 0.000008, using 1.196523s\n",
      "epoch 237/800 L2 = 0.005633, MSE = 0.000009, using 1.202291s\n",
      "epoch 238/800 L2 = 0.006193, MSE = 0.000009, using 1.198354s\n",
      "epoch 239/800 L2 = 0.006588, MSE = 0.000009, using 1.202431s\n",
      "epoch 240/800 L2 = 0.006591, MSE = 0.000009, using 1.194060s\n",
      "epoch 241/800 L2 = 0.010115, MSE = 0.000012, using 1.207340s\n",
      "epoch 242/800 L2 = 0.008165, MSE = 0.000010, using 1.212248s\n",
      "epoch 243/800 L2 = 0.006231, MSE = 0.000008, using 1.222740s\n",
      "epoch 244/800 L2 = 0.005220, MSE = 0.000008, using 1.227008s\n",
      "epoch 245/800 L2 = 0.005369, MSE = 0.000008, using 1.208534s\n",
      "epoch 246/800 L2 = 0.005556, MSE = 0.000008, using 1.206007s\n",
      "epoch 247/800 L2 = 0.005934, MSE = 0.000009, using 1.204019s\n",
      "epoch 248/800 L2 = 0.006021, MSE = 0.000009, using 1.207145s\n",
      "epoch 249/800 L2 = 0.005279, MSE = 0.000008, using 1.217744s\n",
      "epoch 250/800 L2 = 0.005070, MSE = 0.000008, using 1.201981s\n",
      "epoch 251/800 L2 = 0.007767, MSE = 0.000011, using 1.218037s\n",
      "epoch 252/800 L2 = 0.005423, MSE = 0.000008, using 1.216159s\n",
      "epoch 253/800 L2 = 0.006100, MSE = 0.000008, using 1.219554s\n",
      "epoch 254/800 L2 = 0.007053, MSE = 0.000008, using 1.224905s\n",
      "epoch 255/800 L2 = 0.005527, MSE = 0.000007, using 1.212815s\n",
      "epoch 256/800 L2 = 0.008270, MSE = 0.000010, using 1.216617s\n",
      "epoch 257/800 L2 = 0.005846, MSE = 0.000007, using 1.217956s\n",
      "epoch 258/800 L2 = 0.005115, MSE = 0.000007, using 1.201343s\n",
      "epoch 259/800 L2 = 0.007873, MSE = 0.000011, using 1.210349s\n",
      "epoch 260/800 L2 = 0.006787, MSE = 0.000009, using 1.207254s\n",
      "epoch 261/800 L2 = 0.005028, MSE = 0.000007, using 1.224043s\n",
      "epoch 262/800 L2 = 0.005738, MSE = 0.000007, using 1.223548s\n",
      "epoch 263/800 L2 = 0.009149, MSE = 0.000011, using 1.219281s\n",
      "epoch 264/800 L2 = 0.009157, MSE = 0.000011, using 1.213088s\n",
      "epoch 265/800 L2 = 0.006668, MSE = 0.000008, using 1.201462s\n",
      "epoch 266/800 L2 = 0.008096, MSE = 0.000010, using 1.220579s\n",
      "epoch 267/800 L2 = 0.005112, MSE = 0.000007, using 1.202558s\n",
      "epoch 268/800 L2 = 0.007276, MSE = 0.000009, using 1.210308s\n",
      "epoch 269/800 L2 = 0.006443, MSE = 0.000008, using 1.209446s\n",
      "epoch 270/800 L2 = 0.008420, MSE = 0.000010, using 1.220656s\n",
      "epoch 271/800 L2 = 0.007342, MSE = 0.000008, using 1.219052s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 272/800 L2 = 0.005413, MSE = 0.000007, using 1.203351s\n",
      "epoch 273/800 L2 = 0.005329, MSE = 0.000007, using 1.208242s\n",
      "epoch 274/800 L2 = 0.005855, MSE = 0.000007, using 1.201501s\n",
      "epoch 275/800 L2 = 0.006995, MSE = 0.000008, using 1.205251s\n",
      "epoch 276/800 L2 = 0.008087, MSE = 0.000009, using 1.209237s\n",
      "epoch 277/800 L2 = 0.007737, MSE = 0.000010, using 1.212022s\n",
      "epoch 278/800 L2 = 0.005780, MSE = 0.000007, using 1.212039s\n",
      "epoch 279/800 L2 = 0.007226, MSE = 0.000008, using 1.219029s\n",
      "epoch 280/800 L2 = 0.007444, MSE = 0.000009, using 1.213143s\n",
      "epoch 281/800 L2 = 0.006091, MSE = 0.000008, using 1.203443s\n",
      "epoch 282/800 L2 = 0.006670, MSE = 0.000008, using 1.206101s\n",
      "epoch 283/800 L2 = 0.009861, MSE = 0.000010, using 1.197450s\n",
      "epoch 284/800 L2 = 0.007030, MSE = 0.000008, using 1.203884s\n",
      "epoch 285/800 L2 = 0.005614, MSE = 0.000007, using 1.203443s\n",
      "epoch 286/800 L2 = 0.005633, MSE = 0.000007, using 1.204774s\n",
      "epoch 287/800 L2 = 0.006263, MSE = 0.000007, using 1.200076s\n",
      "epoch 288/800 L2 = 0.007001, MSE = 0.000008, using 1.214312s\n",
      "epoch 289/800 L2 = 0.010491, MSE = 0.000012, using 1.219676s\n",
      "epoch 290/800 L2 = 0.005493, MSE = 0.000006, using 1.205878s\n",
      "epoch 291/800 L2 = 0.004876, MSE = 0.000006, using 1.207381s\n",
      "epoch 292/800 L2 = 0.005896, MSE = 0.000007, using 1.212698s\n",
      "epoch 293/800 L2 = 0.005477, MSE = 0.000008, using 1.231403s\n",
      "epoch 294/800 L2 = 0.006271, MSE = 0.000007, using 1.222304s\n",
      "epoch 295/800 L2 = 0.005140, MSE = 0.000006, using 1.222686s\n",
      "epoch 296/800 L2 = 0.006115, MSE = 0.000007, using 1.204916s\n",
      "epoch 297/800 L2 = 0.005142, MSE = 0.000006, using 1.203558s\n",
      "epoch 298/800 L2 = 0.005289, MSE = 0.000006, using 1.211901s\n",
      "epoch 299/800 L2 = 0.004961, MSE = 0.000006, using 1.213906s\n",
      "epoch 300/800 L2 = 0.007555, MSE = 0.000008, using 1.205651s\n",
      "epoch 301/800 L2 = 0.004333, MSE = 0.000006, using 1.197026s\n",
      "epoch 302/800 L2 = 0.004141, MSE = 0.000006, using 1.206069s\n",
      "epoch 303/800 L2 = 0.003765, MSE = 0.000006, using 1.199596s\n",
      "epoch 304/800 L2 = 0.003905, MSE = 0.000006, using 1.213346s\n",
      "epoch 305/800 L2 = 0.005118, MSE = 0.000006, using 1.203147s\n",
      "epoch 306/800 L2 = 0.005086, MSE = 0.000006, using 1.198004s\n",
      "epoch 307/800 L2 = 0.004337, MSE = 0.000006, using 1.203637s\n",
      "epoch 308/800 L2 = 0.003917, MSE = 0.000006, using 1.214229s\n",
      "epoch 309/800 L2 = 0.003830, MSE = 0.000005, using 1.212956s\n",
      "epoch 310/800 L2 = 0.004057, MSE = 0.000006, using 1.209080s\n",
      "epoch 311/800 L2 = 0.003835, MSE = 0.000005, using 1.206635s\n",
      "epoch 312/800 L2 = 0.004460, MSE = 0.000006, using 1.194978s\n",
      "epoch 313/800 L2 = 0.003790, MSE = 0.000005, using 1.212491s\n",
      "epoch 314/800 L2 = 0.004764, MSE = 0.000006, using 1.207387s\n",
      "epoch 315/800 L2 = 0.004099, MSE = 0.000005, using 1.221365s\n",
      "epoch 316/800 L2 = 0.004230, MSE = 0.000006, using 1.222682s\n",
      "epoch 317/800 L2 = 0.004318, MSE = 0.000006, using 1.222967s\n",
      "epoch 318/800 L2 = 0.004062, MSE = 0.000006, using 1.224321s\n",
      "epoch 319/800 L2 = 0.003923, MSE = 0.000005, using 1.207771s\n",
      "epoch 320/800 L2 = 0.003960, MSE = 0.000005, using 1.204512s\n",
      "epoch 321/800 L2 = 0.004589, MSE = 0.000006, using 1.209236s\n",
      "epoch 322/800 L2 = 0.004210, MSE = 0.000005, using 1.203576s\n",
      "epoch 323/800 L2 = 0.004025, MSE = 0.000005, using 1.215900s\n",
      "epoch 324/800 L2 = 0.005121, MSE = 0.000006, using 1.216978s\n",
      "epoch 325/800 L2 = 0.003724, MSE = 0.000005, using 1.207585s\n",
      "epoch 326/800 L2 = 0.003905, MSE = 0.000005, using 1.215339s\n",
      "epoch 327/800 L2 = 0.004030, MSE = 0.000005, using 1.210845s\n",
      "epoch 328/800 L2 = 0.004837, MSE = 0.000006, using 1.212029s\n",
      "epoch 329/800 L2 = 0.005325, MSE = 0.000006, using 1.203882s\n",
      "epoch 330/800 L2 = 0.004258, MSE = 0.000005, using 1.215518s\n",
      "epoch 331/800 L2 = 0.004344, MSE = 0.000006, using 1.213069s\n",
      "epoch 332/800 L2 = 0.004436, MSE = 0.000005, using 1.217893s\n",
      "epoch 333/800 L2 = 0.003874, MSE = 0.000005, using 1.209778s\n",
      "epoch 334/800 L2 = 0.003856, MSE = 0.000005, using 1.214614s\n",
      "epoch 335/800 L2 = 0.003841, MSE = 0.000005, using 1.216611s\n",
      "epoch 336/800 L2 = 0.003956, MSE = 0.000005, using 1.212107s\n",
      "epoch 337/800 L2 = 0.004511, MSE = 0.000005, using 1.211193s\n",
      "epoch 338/800 L2 = 0.006727, MSE = 0.000007, using 1.222591s\n",
      "epoch 339/800 L2 = 0.004922, MSE = 0.000006, using 1.208717s\n",
      "epoch 340/800 L2 = 0.003953, MSE = 0.000005, using 1.207038s\n",
      "epoch 341/800 L2 = 0.003750, MSE = 0.000005, using 1.217399s\n",
      "epoch 342/800 L2 = 0.003967, MSE = 0.000005, using 1.230976s\n",
      "epoch 343/800 L2 = 0.005583, MSE = 0.000006, using 1.229551s\n",
      "epoch 344/800 L2 = 0.004051, MSE = 0.000005, using 1.208388s\n",
      "epoch 345/800 L2 = 0.004531, MSE = 0.000005, using 1.202263s\n",
      "epoch 346/800 L2 = 0.003906, MSE = 0.000005, using 1.203532s\n",
      "epoch 347/800 L2 = 0.004361, MSE = 0.000005, using 1.205954s\n",
      "epoch 348/800 L2 = 0.004211, MSE = 0.000005, using 1.213910s\n",
      "epoch 349/800 L2 = 0.003783, MSE = 0.000005, using 1.204625s\n",
      "epoch 350/800 L2 = 0.004662, MSE = 0.000005, using 1.212392s\n",
      "epoch 351/800 L2 = 0.006006, MSE = 0.000006, using 1.202814s\n",
      "epoch 352/800 L2 = 0.004173, MSE = 0.000005, using 1.208731s\n",
      "epoch 353/800 L2 = 0.004254, MSE = 0.000005, using 1.207920s\n",
      "epoch 354/800 L2 = 0.003664, MSE = 0.000005, using 1.212120s\n",
      "epoch 355/800 L2 = 0.003863, MSE = 0.000005, using 1.206328s\n",
      "epoch 356/800 L2 = 0.003584, MSE = 0.000005, using 1.203148s\n",
      "epoch 357/800 L2 = 0.003827, MSE = 0.000005, using 1.206840s\n",
      "epoch 358/800 L2 = 0.004595, MSE = 0.000005, using 1.207312s\n",
      "epoch 359/800 L2 = 0.004031, MSE = 0.000005, using 1.199506s\n",
      "epoch 360/800 L2 = 0.004030, MSE = 0.000005, using 1.205164s\n",
      "epoch 361/800 L2 = 0.003998, MSE = 0.000005, using 1.211379s\n",
      "epoch 362/800 L2 = 0.004291, MSE = 0.000005, using 1.195986s\n",
      "epoch 363/800 L2 = 0.004165, MSE = 0.000005, using 1.206726s\n",
      "epoch 364/800 L2 = 0.003824, MSE = 0.000005, using 1.224563s\n",
      "epoch 365/800 L2 = 0.004128, MSE = 0.000005, using 1.209192s\n",
      "epoch 366/800 L2 = 0.003678, MSE = 0.000005, using 1.213000s\n",
      "epoch 367/800 L2 = 0.003588, MSE = 0.000004, using 1.208449s\n",
      "epoch 368/800 L2 = 0.003836, MSE = 0.000005, using 1.217751s\n",
      "epoch 369/800 L2 = 0.004405, MSE = 0.000005, using 1.217763s\n",
      "epoch 370/800 L2 = 0.004051, MSE = 0.000005, using 1.208868s\n",
      "epoch 371/800 L2 = 0.004345, MSE = 0.000005, using 1.221451s\n",
      "epoch 372/800 L2 = 0.003940, MSE = 0.000005, using 1.215545s\n",
      "epoch 373/800 L2 = 0.004322, MSE = 0.000005, using 1.209336s\n",
      "epoch 374/800 L2 = 0.003669, MSE = 0.000005, using 1.229299s\n",
      "epoch 375/800 L2 = 0.003534, MSE = 0.000004, using 1.210542s\n",
      "epoch 376/800 L2 = 0.003942, MSE = 0.000005, using 1.219667s\n",
      "epoch 377/800 L2 = 0.005359, MSE = 0.000005, using 1.205043s\n",
      "epoch 378/800 L2 = 0.004174, MSE = 0.000005, using 1.225323s\n",
      "epoch 379/800 L2 = 0.004628, MSE = 0.000005, using 1.225973s\n",
      "epoch 380/800 L2 = 0.004345, MSE = 0.000005, using 1.214721s\n",
      "epoch 381/800 L2 = 0.004213, MSE = 0.000005, using 1.214032s\n",
      "epoch 382/800 L2 = 0.003912, MSE = 0.000005, using 1.210179s\n",
      "epoch 383/800 L2 = 0.003726, MSE = 0.000004, using 1.207123s\n",
      "epoch 384/800 L2 = 0.004404, MSE = 0.000005, using 1.231269s\n",
      "epoch 385/800 L2 = 0.003950, MSE = 0.000005, using 1.221437s\n",
      "epoch 386/800 L2 = 0.003375, MSE = 0.000004, using 1.213405s\n",
      "epoch 387/800 L2 = 0.003764, MSE = 0.000004, using 1.221862s\n",
      "epoch 388/800 L2 = 0.003899, MSE = 0.000004, using 1.203170s\n",
      "epoch 389/800 L2 = 0.003473, MSE = 0.000004, using 1.210679s\n",
      "epoch 390/800 L2 = 0.003620, MSE = 0.000004, using 1.212775s\n",
      "epoch 391/800 L2 = 0.003606, MSE = 0.000004, using 1.212386s\n",
      "epoch 392/800 L2 = 0.003486, MSE = 0.000004, using 1.196963s\n",
      "epoch 393/800 L2 = 0.003565, MSE = 0.000004, using 1.205191s\n",
      "epoch 394/800 L2 = 0.005089, MSE = 0.000005, using 1.214130s\n",
      "epoch 395/800 L2 = 0.004545, MSE = 0.000005, using 1.216958s\n",
      "epoch 396/800 L2 = 0.004626, MSE = 0.000005, using 1.201230s\n",
      "epoch 397/800 L2 = 0.005132, MSE = 0.000005, using 1.199954s\n",
      "epoch 398/800 L2 = 0.005162, MSE = 0.000005, using 1.200133s\n",
      "epoch 399/800 L2 = 0.003810, MSE = 0.000004, using 1.208480s\n",
      "epoch 400/800 L2 = 0.004098, MSE = 0.000004, using 1.216144s\n",
      "epoch 401/800 L2 = 0.003812, MSE = 0.000004, using 1.209080s\n",
      "epoch 402/800 L2 = 0.003157, MSE = 0.000004, using 1.215518s\n",
      "epoch 403/800 L2 = 0.003138, MSE = 0.000004, using 1.203810s\n",
      "epoch 404/800 L2 = 0.003305, MSE = 0.000004, using 1.209882s\n",
      "epoch 405/800 L2 = 0.003331, MSE = 0.000004, using 1.208876s\n",
      "epoch 406/800 L2 = 0.003178, MSE = 0.000004, using 1.205912s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 407/800 L2 = 0.003137, MSE = 0.000004, using 1.212481s\n",
      "epoch 408/800 L2 = 0.003409, MSE = 0.000004, using 1.210107s\n",
      "epoch 409/800 L2 = 0.003253, MSE = 0.000004, using 1.196243s\n",
      "epoch 410/800 L2 = 0.003034, MSE = 0.000004, using 1.205378s\n",
      "epoch 411/800 L2 = 0.003138, MSE = 0.000004, using 1.209428s\n",
      "epoch 412/800 L2 = 0.003296, MSE = 0.000004, using 1.216124s\n",
      "epoch 413/800 L2 = 0.003758, MSE = 0.000004, using 1.206509s\n",
      "epoch 414/800 L2 = 0.003440, MSE = 0.000004, using 1.226795s\n",
      "epoch 415/800 L2 = 0.003494, MSE = 0.000004, using 1.198691s\n",
      "epoch 416/800 L2 = 0.003364, MSE = 0.000004, using 1.207731s\n",
      "epoch 417/800 L2 = 0.003199, MSE = 0.000004, using 1.214969s\n",
      "epoch 418/800 L2 = 0.003707, MSE = 0.000004, using 1.203357s\n",
      "epoch 419/800 L2 = 0.003295, MSE = 0.000004, using 1.205992s\n",
      "epoch 420/800 L2 = 0.003124, MSE = 0.000004, using 1.191453s\n",
      "epoch 421/800 L2 = 0.003144, MSE = 0.000004, using 1.200040s\n",
      "epoch 422/800 L2 = 0.003299, MSE = 0.000004, using 1.211808s\n",
      "epoch 423/800 L2 = 0.003541, MSE = 0.000004, using 1.216540s\n",
      "epoch 424/800 L2 = 0.003035, MSE = 0.000004, using 1.231307s\n",
      "epoch 425/800 L2 = 0.003330, MSE = 0.000004, using 1.215349s\n",
      "epoch 426/800 L2 = 0.003109, MSE = 0.000004, using 1.209074s\n",
      "epoch 427/800 L2 = 0.003002, MSE = 0.000004, using 1.201038s\n",
      "epoch 428/800 L2 = 0.003118, MSE = 0.000004, using 1.205555s\n",
      "epoch 429/800 L2 = 0.002991, MSE = 0.000004, using 1.201751s\n",
      "epoch 430/800 L2 = 0.003088, MSE = 0.000004, using 1.222710s\n",
      "epoch 431/800 L2 = 0.003254, MSE = 0.000004, using 1.209468s\n",
      "epoch 432/800 L2 = 0.003487, MSE = 0.000004, using 1.219692s\n",
      "epoch 433/800 L2 = 0.003180, MSE = 0.000004, using 1.219039s\n",
      "epoch 434/800 L2 = 0.003129, MSE = 0.000004, using 1.214905s\n",
      "epoch 435/800 L2 = 0.003413, MSE = 0.000004, using 1.214869s\n",
      "epoch 436/800 L2 = 0.003415, MSE = 0.000004, using 1.214509s\n",
      "epoch 437/800 L2 = 0.003093, MSE = 0.000004, using 1.208754s\n",
      "epoch 438/800 L2 = 0.003839, MSE = 0.000004, using 1.221120s\n",
      "epoch 439/800 L2 = 0.004385, MSE = 0.000004, using 1.218367s\n",
      "epoch 440/800 L2 = 0.004627, MSE = 0.000004, using 1.220419s\n",
      "epoch 441/800 L2 = 0.003331, MSE = 0.000004, using 1.235114s\n",
      "epoch 442/800 L2 = 0.003150, MSE = 0.000004, using 1.227717s\n",
      "epoch 443/800 L2 = 0.003009, MSE = 0.000004, using 1.204328s\n",
      "epoch 444/800 L2 = 0.003177, MSE = 0.000004, using 1.198705s\n",
      "epoch 445/800 L2 = 0.003029, MSE = 0.000004, using 1.209147s\n",
      "epoch 446/800 L2 = 0.003177, MSE = 0.000004, using 1.204154s\n",
      "epoch 447/800 L2 = 0.003653, MSE = 0.000004, using 1.207026s\n",
      "epoch 448/800 L2 = 0.003230, MSE = 0.000004, using 1.197730s\n",
      "epoch 449/800 L2 = 0.003185, MSE = 0.000004, using 1.204228s\n",
      "epoch 450/800 L2 = 0.002948, MSE = 0.000004, using 1.207638s\n",
      "epoch 451/800 L2 = 0.003083, MSE = 0.000004, using 1.214376s\n",
      "epoch 452/800 L2 = 0.003178, MSE = 0.000004, using 1.209846s\n",
      "epoch 453/800 L2 = 0.003225, MSE = 0.000004, using 1.197781s\n",
      "epoch 454/800 L2 = 0.003362, MSE = 0.000004, using 1.217728s\n",
      "epoch 455/800 L2 = 0.003999, MSE = 0.000004, using 1.211175s\n",
      "epoch 456/800 L2 = 0.003175, MSE = 0.000004, using 1.206484s\n",
      "epoch 457/800 L2 = 0.003216, MSE = 0.000004, using 1.210263s\n",
      "epoch 458/800 L2 = 0.002991, MSE = 0.000004, using 1.204901s\n",
      "epoch 459/800 L2 = 0.003237, MSE = 0.000004, using 1.201962s\n",
      "epoch 460/800 L2 = 0.003370, MSE = 0.000004, using 1.206903s\n",
      "epoch 461/800 L2 = 0.003178, MSE = 0.000004, using 1.196229s\n",
      "epoch 462/800 L2 = 0.003283, MSE = 0.000004, using 1.196610s\n",
      "epoch 463/800 L2 = 0.003134, MSE = 0.000004, using 1.207294s\n",
      "epoch 464/800 L2 = 0.003369, MSE = 0.000004, using 1.211706s\n",
      "epoch 465/800 L2 = 0.003117, MSE = 0.000004, using 1.212749s\n",
      "epoch 466/800 L2 = 0.003336, MSE = 0.000004, using 1.202447s\n",
      "epoch 467/800 L2 = 0.002995, MSE = 0.000004, using 1.203649s\n",
      "epoch 468/800 L2 = 0.003021, MSE = 0.000004, using 1.208381s\n",
      "epoch 469/800 L2 = 0.003569, MSE = 0.000004, using 1.221894s\n",
      "epoch 470/800 L2 = 0.003102, MSE = 0.000004, using 1.200848s\n",
      "epoch 471/800 L2 = 0.003011, MSE = 0.000004, using 1.228376s\n",
      "epoch 472/800 L2 = 0.003230, MSE = 0.000003, using 1.217848s\n",
      "epoch 473/800 L2 = 0.003016, MSE = 0.000003, using 1.195711s\n",
      "epoch 474/800 L2 = 0.002910, MSE = 0.000003, using 1.207849s\n",
      "epoch 475/800 L2 = 0.002977, MSE = 0.000004, using 1.210207s\n",
      "epoch 476/800 L2 = 0.002919, MSE = 0.000003, using 1.210550s\n",
      "epoch 477/800 L2 = 0.002900, MSE = 0.000003, using 1.217661s\n",
      "epoch 478/800 L2 = 0.002940, MSE = 0.000003, using 1.213069s\n",
      "epoch 479/800 L2 = 0.003219, MSE = 0.000004, using 1.215123s\n",
      "epoch 480/800 L2 = 0.003550, MSE = 0.000003, using 1.204411s\n",
      "epoch 481/800 L2 = 0.003089, MSE = 0.000003, using 1.207623s\n",
      "epoch 482/800 L2 = 0.003321, MSE = 0.000004, using 1.206159s\n",
      "epoch 483/800 L2 = 0.003341, MSE = 0.000003, using 1.206441s\n",
      "epoch 484/800 L2 = 0.003124, MSE = 0.000004, using 1.214081s\n",
      "epoch 485/800 L2 = 0.002968, MSE = 0.000003, using 1.219853s\n",
      "epoch 486/800 L2 = 0.002894, MSE = 0.000003, using 1.214238s\n",
      "epoch 487/800 L2 = 0.003099, MSE = 0.000003, using 1.217999s\n",
      "epoch 488/800 L2 = 0.002983, MSE = 0.000003, using 1.216275s\n",
      "epoch 489/800 L2 = 0.002943, MSE = 0.000003, using 1.210470s\n",
      "epoch 490/800 L2 = 0.003074, MSE = 0.000003, using 1.209336s\n",
      "epoch 491/800 L2 = 0.003126, MSE = 0.000003, using 1.215986s\n",
      "epoch 492/800 L2 = 0.003247, MSE = 0.000003, using 1.200656s\n",
      "epoch 493/800 L2 = 0.002982, MSE = 0.000003, using 1.228069s\n",
      "epoch 494/800 L2 = 0.002869, MSE = 0.000003, using 1.219484s\n",
      "epoch 495/800 L2 = 0.003407, MSE = 0.000003, using 1.209249s\n",
      "epoch 496/800 L2 = 0.002917, MSE = 0.000003, using 1.209482s\n",
      "epoch 497/800 L2 = 0.003754, MSE = 0.000004, using 1.211873s\n",
      "epoch 498/800 L2 = 0.003174, MSE = 0.000003, using 1.217469s\n",
      "epoch 499/800 L2 = 0.003162, MSE = 0.000003, using 1.212919s\n",
      "epoch 500/800 L2 = 0.002967, MSE = 0.000003, using 1.228343s\n",
      "epoch 501/800 L2 = 0.002876, MSE = 0.000003, using 1.225597s\n",
      "epoch 502/800 L2 = 0.002756, MSE = 0.000003, using 1.218971s\n",
      "epoch 503/800 L2 = 0.002787, MSE = 0.000003, using 1.213555s\n",
      "epoch 504/800 L2 = 0.002799, MSE = 0.000003, using 1.203822s\n",
      "epoch 505/800 L2 = 0.002719, MSE = 0.000003, using 1.197256s\n",
      "epoch 506/800 L2 = 0.002760, MSE = 0.000003, using 1.210303s\n",
      "epoch 507/800 L2 = 0.002758, MSE = 0.000003, using 1.196183s\n",
      "epoch 508/800 L2 = 0.002716, MSE = 0.000003, using 1.215373s\n",
      "epoch 509/800 L2 = 0.002735, MSE = 0.000003, using 1.191923s\n",
      "epoch 510/800 L2 = 0.002731, MSE = 0.000003, using 1.205252s\n",
      "epoch 511/800 L2 = 0.002734, MSE = 0.000003, using 1.209970s\n",
      "epoch 512/800 L2 = 0.002714, MSE = 0.000003, using 1.201789s\n",
      "epoch 513/800 L2 = 0.002753, MSE = 0.000003, using 1.203669s\n",
      "epoch 514/800 L2 = 0.002826, MSE = 0.000003, using 1.213364s\n",
      "epoch 515/800 L2 = 0.002709, MSE = 0.000003, using 1.209915s\n",
      "epoch 516/800 L2 = 0.002723, MSE = 0.000003, using 1.210292s\n",
      "epoch 517/800 L2 = 0.002769, MSE = 0.000003, using 1.225991s\n",
      "epoch 518/800 L2 = 0.002862, MSE = 0.000003, using 1.200426s\n",
      "epoch 519/800 L2 = 0.002747, MSE = 0.000003, using 1.197038s\n",
      "epoch 520/800 L2 = 0.002680, MSE = 0.000003, using 1.196498s\n",
      "epoch 521/800 L2 = 0.002722, MSE = 0.000003, using 1.211044s\n",
      "epoch 522/800 L2 = 0.002748, MSE = 0.000003, using 1.201467s\n",
      "epoch 523/800 L2 = 0.002667, MSE = 0.000003, using 1.214206s\n",
      "epoch 524/800 L2 = 0.003063, MSE = 0.000003, using 1.201548s\n",
      "epoch 525/800 L2 = 0.002702, MSE = 0.000003, using 1.205385s\n",
      "epoch 526/800 L2 = 0.002727, MSE = 0.000003, using 1.203892s\n",
      "epoch 527/800 L2 = 0.002683, MSE = 0.000003, using 1.221393s\n",
      "epoch 528/800 L2 = 0.002717, MSE = 0.000003, using 1.210421s\n",
      "epoch 529/800 L2 = 0.002639, MSE = 0.000003, using 1.215640s\n",
      "epoch 530/800 L2 = 0.002657, MSE = 0.000003, using 1.202090s\n",
      "epoch 531/800 L2 = 0.003022, MSE = 0.000003, using 1.227865s\n",
      "epoch 532/800 L2 = 0.003040, MSE = 0.000003, using 1.222243s\n",
      "epoch 533/800 L2 = 0.002700, MSE = 0.000003, using 1.212345s\n",
      "epoch 534/800 L2 = 0.002656, MSE = 0.000003, using 1.214221s\n",
      "epoch 535/800 L2 = 0.002899, MSE = 0.000003, using 1.215226s\n",
      "epoch 536/800 L2 = 0.002914, MSE = 0.000003, using 1.209990s\n",
      "epoch 537/800 L2 = 0.002737, MSE = 0.000003, using 1.211335s\n",
      "epoch 538/800 L2 = 0.002841, MSE = 0.000003, using 1.210740s\n",
      "epoch 539/800 L2 = 0.002991, MSE = 0.000003, using 1.214280s\n",
      "epoch 540/800 L2 = 0.002719, MSE = 0.000003, using 1.237896s\n",
      "epoch 541/800 L2 = 0.002846, MSE = 0.000003, using 1.207362s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 542/800 L2 = 0.002719, MSE = 0.000003, using 1.227094s\n",
      "epoch 543/800 L2 = 0.002605, MSE = 0.000003, using 1.201148s\n",
      "epoch 544/800 L2 = 0.002735, MSE = 0.000003, using 1.215569s\n",
      "epoch 545/800 L2 = 0.002718, MSE = 0.000003, using 1.215548s\n",
      "epoch 546/800 L2 = 0.002843, MSE = 0.000003, using 1.219715s\n",
      "epoch 547/800 L2 = 0.002853, MSE = 0.000003, using 1.213767s\n",
      "epoch 548/800 L2 = 0.003149, MSE = 0.000003, using 1.210565s\n",
      "epoch 549/800 L2 = 0.002966, MSE = 0.000003, using 1.219374s\n",
      "epoch 550/800 L2 = 0.002803, MSE = 0.000003, using 1.203097s\n",
      "epoch 551/800 L2 = 0.002714, MSE = 0.000003, using 1.218780s\n",
      "epoch 552/800 L2 = 0.002734, MSE = 0.000003, using 1.214813s\n",
      "epoch 553/800 L2 = 0.002782, MSE = 0.000003, using 1.215507s\n",
      "epoch 554/800 L2 = 0.002642, MSE = 0.000003, using 1.221889s\n",
      "epoch 555/800 L2 = 0.002695, MSE = 0.000003, using 1.221050s\n",
      "epoch 556/800 L2 = 0.002754, MSE = 0.000003, using 1.225921s\n",
      "epoch 557/800 L2 = 0.002667, MSE = 0.000003, using 1.212225s\n",
      "epoch 558/800 L2 = 0.002686, MSE = 0.000003, using 1.220532s\n",
      "epoch 559/800 L2 = 0.002769, MSE = 0.000003, using 1.213949s\n",
      "epoch 560/800 L2 = 0.002687, MSE = 0.000003, using 1.224718s\n",
      "epoch 561/800 L2 = 0.002628, MSE = 0.000003, using 1.228308s\n",
      "epoch 562/800 L2 = 0.002605, MSE = 0.000003, using 1.216272s\n",
      "epoch 563/800 L2 = 0.002781, MSE = 0.000003, using 1.202140s\n",
      "epoch 564/800 L2 = 0.002810, MSE = 0.000003, using 1.193390s\n",
      "epoch 565/800 L2 = 0.002651, MSE = 0.000003, using 1.209859s\n",
      "epoch 566/800 L2 = 0.002694, MSE = 0.000003, using 1.213525s\n",
      "epoch 567/800 L2 = 0.002592, MSE = 0.000003, using 1.202275s\n",
      "epoch 568/800 L2 = 0.002664, MSE = 0.000003, using 1.201957s\n",
      "epoch 569/800 L2 = 0.002714, MSE = 0.000003, using 1.208029s\n",
      "epoch 570/800 L2 = 0.002669, MSE = 0.000003, using 1.207893s\n",
      "epoch 571/800 L2 = 0.002634, MSE = 0.000003, using 1.206526s\n",
      "epoch 572/800 L2 = 0.002586, MSE = 0.000003, using 1.216049s\n",
      "epoch 573/800 L2 = 0.002797, MSE = 0.000003, using 1.217725s\n",
      "epoch 574/800 L2 = 0.002765, MSE = 0.000003, using 1.201531s\n",
      "epoch 575/800 L2 = 0.002606, MSE = 0.000003, using 1.200927s\n",
      "epoch 576/800 L2 = 0.002652, MSE = 0.000003, using 1.217092s\n",
      "epoch 577/800 L2 = 0.002973, MSE = 0.000003, using 1.207562s\n",
      "epoch 578/800 L2 = 0.002679, MSE = 0.000003, using 1.209473s\n",
      "epoch 579/800 L2 = 0.003098, MSE = 0.000003, using 1.210247s\n",
      "epoch 580/800 L2 = 0.002613, MSE = 0.000003, using 1.205103s\n",
      "epoch 581/800 L2 = 0.002619, MSE = 0.000003, using 1.211282s\n",
      "epoch 582/800 L2 = 0.002789, MSE = 0.000003, using 1.200726s\n",
      "epoch 583/800 L2 = 0.002697, MSE = 0.000003, using 1.215485s\n",
      "epoch 584/800 L2 = 0.002712, MSE = 0.000003, using 1.208027s\n",
      "epoch 585/800 L2 = 0.002789, MSE = 0.000003, using 1.201932s\n",
      "epoch 586/800 L2 = 0.002612, MSE = 0.000003, using 1.210847s\n",
      "epoch 587/800 L2 = 0.002594, MSE = 0.000003, using 1.221850s\n",
      "epoch 588/800 L2 = 0.002646, MSE = 0.000003, using 1.212270s\n",
      "epoch 589/800 L2 = 0.002554, MSE = 0.000003, using 1.214576s\n",
      "epoch 590/800 L2 = 0.002703, MSE = 0.000003, using 1.212960s\n",
      "epoch 591/800 L2 = 0.002615, MSE = 0.000003, using 1.221851s\n",
      "epoch 592/800 L2 = 0.002696, MSE = 0.000003, using 1.222048s\n",
      "epoch 593/800 L2 = 0.002773, MSE = 0.000003, using 1.214487s\n",
      "epoch 594/800 L2 = 0.002699, MSE = 0.000003, using 1.221819s\n",
      "epoch 595/800 L2 = 0.002780, MSE = 0.000003, using 1.217816s\n",
      "epoch 596/800 L2 = 0.002665, MSE = 0.000003, using 1.212985s\n",
      "epoch 597/800 L2 = 0.002608, MSE = 0.000003, using 1.206852s\n",
      "epoch 598/800 L2 = 0.002652, MSE = 0.000003, using 1.210988s\n",
      "epoch 599/800 L2 = 0.002583, MSE = 0.000003, using 1.225839s\n",
      "epoch 600/800 L2 = 0.002593, MSE = 0.000003, using 1.206983s\n",
      "epoch 601/800 L2 = 0.002537, MSE = 0.000003, using 1.228214s\n",
      "epoch 602/800 L2 = 0.002504, MSE = 0.000003, using 1.216947s\n",
      "epoch 603/800 L2 = 0.002525, MSE = 0.000003, using 1.225833s\n",
      "epoch 604/800 L2 = 0.002619, MSE = 0.000003, using 1.220620s\n",
      "epoch 605/800 L2 = 0.002555, MSE = 0.000003, using 1.208958s\n",
      "epoch 606/800 L2 = 0.002511, MSE = 0.000003, using 1.203988s\n",
      "epoch 607/800 L2 = 0.002493, MSE = 0.000003, using 1.209590s\n",
      "epoch 608/800 L2 = 0.002506, MSE = 0.000003, using 1.219410s\n",
      "epoch 609/800 L2 = 0.002483, MSE = 0.000003, using 1.213998s\n",
      "epoch 610/800 L2 = 0.002511, MSE = 0.000003, using 1.211716s\n",
      "epoch 611/800 L2 = 0.002513, MSE = 0.000003, using 1.206037s\n",
      "epoch 612/800 L2 = 0.002488, MSE = 0.000003, using 1.215513s\n",
      "epoch 613/800 L2 = 0.002579, MSE = 0.000003, using 1.219910s\n",
      "epoch 614/800 L2 = 0.002522, MSE = 0.000003, using 1.218970s\n",
      "epoch 615/800 L2 = 0.002481, MSE = 0.000003, using 1.204429s\n",
      "epoch 616/800 L2 = 0.002617, MSE = 0.000003, using 1.211648s\n",
      "epoch 617/800 L2 = 0.002523, MSE = 0.000003, using 1.195797s\n",
      "epoch 618/800 L2 = 0.002527, MSE = 0.000003, using 1.208610s\n",
      "epoch 619/800 L2 = 0.002489, MSE = 0.000003, using 1.204347s\n",
      "epoch 620/800 L2 = 0.002473, MSE = 0.000003, using 1.213122s\n",
      "epoch 621/800 L2 = 0.002529, MSE = 0.000003, using 1.204040s\n",
      "epoch 622/800 L2 = 0.002523, MSE = 0.000003, using 1.201432s\n",
      "epoch 623/800 L2 = 0.002540, MSE = 0.000003, using 1.204194s\n",
      "epoch 624/800 L2 = 0.002594, MSE = 0.000003, using 1.204640s\n",
      "epoch 625/800 L2 = 0.002634, MSE = 0.000003, using 1.205107s\n",
      "epoch 626/800 L2 = 0.002526, MSE = 0.000003, using 1.208151s\n",
      "epoch 627/800 L2 = 0.002513, MSE = 0.000003, using 1.217986s\n",
      "epoch 628/800 L2 = 0.002468, MSE = 0.000003, using 1.207796s\n",
      "epoch 629/800 L2 = 0.002488, MSE = 0.000003, using 1.208627s\n",
      "epoch 630/800 L2 = 0.002484, MSE = 0.000003, using 1.206006s\n",
      "epoch 631/800 L2 = 0.002498, MSE = 0.000003, using 1.201154s\n",
      "epoch 632/800 L2 = 0.002493, MSE = 0.000003, using 1.215782s\n",
      "epoch 633/800 L2 = 0.002541, MSE = 0.000003, using 1.205337s\n",
      "epoch 634/800 L2 = 0.002519, MSE = 0.000003, using 1.201211s\n",
      "epoch 635/800 L2 = 0.002611, MSE = 0.000003, using 1.215375s\n",
      "epoch 636/800 L2 = 0.002491, MSE = 0.000003, using 1.202443s\n",
      "epoch 637/800 L2 = 0.002680, MSE = 0.000003, using 1.204987s\n",
      "epoch 638/800 L2 = 0.002492, MSE = 0.000003, using 1.213399s\n",
      "epoch 639/800 L2 = 0.002554, MSE = 0.000003, using 1.228774s\n",
      "epoch 640/800 L2 = 0.002590, MSE = 0.000003, using 1.202620s\n",
      "epoch 641/800 L2 = 0.002466, MSE = 0.000003, using 1.219597s\n",
      "epoch 642/800 L2 = 0.002467, MSE = 0.000003, using 1.212920s\n",
      "epoch 643/800 L2 = 0.002488, MSE = 0.000003, using 1.223592s\n",
      "epoch 644/800 L2 = 0.002493, MSE = 0.000003, using 1.200673s\n",
      "epoch 645/800 L2 = 0.002460, MSE = 0.000003, using 1.208505s\n",
      "epoch 646/800 L2 = 0.002485, MSE = 0.000003, using 1.218776s\n",
      "epoch 647/800 L2 = 0.002505, MSE = 0.000003, using 1.212438s\n",
      "epoch 648/800 L2 = 0.002442, MSE = 0.000003, using 1.223602s\n",
      "epoch 649/800 L2 = 0.002515, MSE = 0.000003, using 1.226373s\n",
      "epoch 650/800 L2 = 0.002520, MSE = 0.000003, using 1.219817s\n",
      "epoch 651/800 L2 = 0.002501, MSE = 0.000003, using 1.206886s\n",
      "epoch 652/800 L2 = 0.002514, MSE = 0.000003, using 1.225087s\n",
      "epoch 653/800 L2 = 0.002479, MSE = 0.000003, using 1.201882s\n",
      "epoch 654/800 L2 = 0.002493, MSE = 0.000003, using 1.216402s\n",
      "epoch 655/800 L2 = 0.002533, MSE = 0.000003, using 1.211481s\n",
      "epoch 656/800 L2 = 0.002421, MSE = 0.000003, using 1.209130s\n",
      "epoch 657/800 L2 = 0.002480, MSE = 0.000003, using 1.203072s\n",
      "epoch 658/800 L2 = 0.002475, MSE = 0.000003, using 1.206276s\n",
      "epoch 659/800 L2 = 0.002531, MSE = 0.000003, using 1.200276s\n",
      "epoch 660/800 L2 = 0.002494, MSE = 0.000003, using 1.215923s\n",
      "epoch 661/800 L2 = 0.002489, MSE = 0.000003, using 1.202147s\n",
      "epoch 662/800 L2 = 0.002483, MSE = 0.000003, using 1.214136s\n",
      "epoch 663/800 L2 = 0.002519, MSE = 0.000003, using 1.212951s\n",
      "epoch 664/800 L2 = 0.002471, MSE = 0.000003, using 1.202100s\n",
      "epoch 665/800 L2 = 0.002473, MSE = 0.000003, using 1.208390s\n",
      "epoch 666/800 L2 = 0.002484, MSE = 0.000003, using 1.207914s\n",
      "epoch 667/800 L2 = 0.002573, MSE = 0.000003, using 1.211688s\n",
      "epoch 668/800 L2 = 0.002484, MSE = 0.000003, using 1.207925s\n",
      "epoch 669/800 L2 = 0.002464, MSE = 0.000003, using 1.215324s\n",
      "epoch 670/800 L2 = 0.002491, MSE = 0.000003, using 1.203879s\n",
      "epoch 671/800 L2 = 0.002476, MSE = 0.000003, using 1.208057s\n",
      "epoch 672/800 L2 = 0.002420, MSE = 0.000003, using 1.218112s\n",
      "epoch 673/800 L2 = 0.002439, MSE = 0.000003, using 1.222165s\n",
      "epoch 674/800 L2 = 0.002571, MSE = 0.000003, using 1.198739s\n",
      "epoch 675/800 L2 = 0.002550, MSE = 0.000003, using 1.232684s\n",
      "epoch 676/800 L2 = 0.002474, MSE = 0.000003, using 1.202779s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 677/800 L2 = 0.002502, MSE = 0.000003, using 1.204226s\n",
      "epoch 678/800 L2 = 0.002436, MSE = 0.000003, using 1.212143s\n",
      "epoch 679/800 L2 = 0.002527, MSE = 0.000003, using 1.215451s\n",
      "epoch 680/800 L2 = 0.002707, MSE = 0.000003, using 1.196171s\n",
      "epoch 681/800 L2 = 0.002496, MSE = 0.000003, using 1.209251s\n",
      "epoch 682/800 L2 = 0.002491, MSE = 0.000003, using 1.212775s\n",
      "epoch 683/800 L2 = 0.002442, MSE = 0.000003, using 1.201176s\n",
      "epoch 684/800 L2 = 0.002497, MSE = 0.000003, using 1.202023s\n",
      "epoch 685/800 L2 = 0.002601, MSE = 0.000003, using 1.202874s\n",
      "epoch 686/800 L2 = 0.002456, MSE = 0.000003, using 1.203137s\n",
      "epoch 687/800 L2 = 0.002438, MSE = 0.000003, using 1.198400s\n",
      "epoch 688/800 L2 = 0.002466, MSE = 0.000003, using 1.194811s\n",
      "epoch 689/800 L2 = 0.002485, MSE = 0.000003, using 1.209268s\n",
      "epoch 690/800 L2 = 0.002404, MSE = 0.000003, using 1.196295s\n",
      "epoch 691/800 L2 = 0.002458, MSE = 0.000003, using 1.215986s\n",
      "epoch 692/800 L2 = 0.002424, MSE = 0.000003, using 1.206958s\n",
      "epoch 693/800 L2 = 0.002457, MSE = 0.000003, using 1.205862s\n",
      "epoch 694/800 L2 = 0.002429, MSE = 0.000003, using 1.212935s\n",
      "epoch 695/800 L2 = 0.002481, MSE = 0.000003, using 1.199638s\n",
      "epoch 696/800 L2 = 0.002402, MSE = 0.000003, using 1.194896s\n",
      "epoch 697/800 L2 = 0.002468, MSE = 0.000003, using 1.208148s\n",
      "epoch 698/800 L2 = 0.002658, MSE = 0.000003, using 1.216990s\n",
      "epoch 699/800 L2 = 0.002541, MSE = 0.000003, using 1.218680s\n",
      "epoch 700/800 L2 = 0.002428, MSE = 0.000003, using 1.235463s\n",
      "epoch 701/800 L2 = 0.002402, MSE = 0.000003, using 1.222394s\n",
      "epoch 702/800 L2 = 0.002393, MSE = 0.000003, using 1.213639s\n",
      "epoch 703/800 L2 = 0.002416, MSE = 0.000003, using 1.230861s\n",
      "epoch 704/800 L2 = 0.002392, MSE = 0.000003, using 1.201512s\n",
      "epoch 705/800 L2 = 0.002383, MSE = 0.000003, using 1.214040s\n",
      "epoch 706/800 L2 = 0.002388, MSE = 0.000003, using 1.213648s\n",
      "epoch 707/800 L2 = 0.002380, MSE = 0.000003, using 1.224395s\n",
      "epoch 708/800 L2 = 0.002387, MSE = 0.000003, using 1.216691s\n",
      "epoch 709/800 L2 = 0.002415, MSE = 0.000003, using 1.210710s\n",
      "epoch 710/800 L2 = 0.002479, MSE = 0.000003, using 1.214909s\n",
      "epoch 711/800 L2 = 0.002419, MSE = 0.000003, using 1.218801s\n",
      "epoch 712/800 L2 = 0.002498, MSE = 0.000003, using 1.208816s\n",
      "epoch 713/800 L2 = 0.002372, MSE = 0.000003, using 1.221646s\n",
      "epoch 714/800 L2 = 0.002368, MSE = 0.000003, using 1.218619s\n",
      "epoch 715/800 L2 = 0.002419, MSE = 0.000003, using 1.223168s\n",
      "epoch 716/800 L2 = 0.002379, MSE = 0.000003, using 1.217048s\n",
      "epoch 717/800 L2 = 0.002380, MSE = 0.000003, using 1.215682s\n",
      "epoch 718/800 L2 = 0.002378, MSE = 0.000003, using 1.220278s\n",
      "epoch 719/800 L2 = 0.002404, MSE = 0.000003, using 1.213301s\n",
      "epoch 720/800 L2 = 0.002380, MSE = 0.000003, using 1.205570s\n",
      "epoch 721/800 L2 = 0.002378, MSE = 0.000003, using 1.207482s\n",
      "epoch 722/800 L2 = 0.002392, MSE = 0.000003, using 1.211357s\n",
      "epoch 723/800 L2 = 0.002383, MSE = 0.000003, using 1.227650s\n",
      "epoch 724/800 L2 = 0.002381, MSE = 0.000003, using 1.217706s\n",
      "epoch 725/800 L2 = 0.002393, MSE = 0.000003, using 1.210086s\n",
      "epoch 726/800 L2 = 0.002437, MSE = 0.000003, using 1.214829s\n",
      "epoch 727/800 L2 = 0.002398, MSE = 0.000003, using 1.212910s\n",
      "epoch 728/800 L2 = 0.002387, MSE = 0.000003, using 1.203640s\n",
      "epoch 729/800 L2 = 0.002365, MSE = 0.000003, using 1.213791s\n",
      "epoch 730/800 L2 = 0.002397, MSE = 0.000003, using 1.197485s\n",
      "epoch 731/800 L2 = 0.002367, MSE = 0.000003, using 1.196278s\n",
      "epoch 732/800 L2 = 0.002396, MSE = 0.000003, using 1.220297s\n",
      "epoch 733/800 L2 = 0.002425, MSE = 0.000003, using 1.217100s\n",
      "epoch 734/800 L2 = 0.002412, MSE = 0.000003, using 1.205298s\n",
      "epoch 735/800 L2 = 0.002386, MSE = 0.000003, using 1.217923s\n",
      "epoch 736/800 L2 = 0.002415, MSE = 0.000003, using 1.218550s\n",
      "epoch 737/800 L2 = 0.002360, MSE = 0.000003, using 1.214043s\n",
      "epoch 738/800 L2 = 0.002375, MSE = 0.000003, using 1.234884s\n",
      "epoch 739/800 L2 = 0.002402, MSE = 0.000003, using 1.214448s\n",
      "epoch 740/800 L2 = 0.002360, MSE = 0.000003, using 1.220293s\n",
      "epoch 741/800 L2 = 0.002403, MSE = 0.000003, using 1.190527s\n",
      "epoch 742/800 L2 = 0.002397, MSE = 0.000003, using 1.208050s\n",
      "epoch 743/800 L2 = 0.002371, MSE = 0.000003, using 1.209760s\n",
      "epoch 744/800 L2 = 0.002370, MSE = 0.000003, using 1.198436s\n",
      "epoch 745/800 L2 = 0.002357, MSE = 0.000003, using 1.204512s\n",
      "epoch 746/800 L2 = 0.002362, MSE = 0.000003, using 1.204818s\n",
      "epoch 747/800 L2 = 0.002370, MSE = 0.000003, using 1.214060s\n",
      "epoch 748/800 L2 = 0.002362, MSE = 0.000003, using 1.211325s\n",
      "epoch 749/800 L2 = 0.002382, MSE = 0.000003, using 1.206490s\n",
      "epoch 750/800 L2 = 0.002378, MSE = 0.000003, using 1.207648s\n",
      "epoch 751/800 L2 = 0.002364, MSE = 0.000003, using 1.201399s\n",
      "epoch 752/800 L2 = 0.002355, MSE = 0.000003, using 1.206695s\n",
      "epoch 753/800 L2 = 0.002360, MSE = 0.000003, using 1.223040s\n",
      "epoch 754/800 L2 = 0.002342, MSE = 0.000003, using 1.212257s\n",
      "epoch 755/800 L2 = 0.002353, MSE = 0.000003, using 1.216827s\n",
      "epoch 756/800 L2 = 0.002392, MSE = 0.000003, using 1.206841s\n",
      "epoch 757/800 L2 = 0.002382, MSE = 0.000003, using 1.203664s\n",
      "epoch 758/800 L2 = 0.002362, MSE = 0.000003, using 1.214814s\n",
      "epoch 759/800 L2 = 0.002404, MSE = 0.000003, using 1.203020s\n",
      "epoch 760/800 L2 = 0.002378, MSE = 0.000003, using 1.223229s\n",
      "epoch 761/800 L2 = 0.002379, MSE = 0.000003, using 1.213362s\n",
      "epoch 762/800 L2 = 0.002380, MSE = 0.000003, using 1.226018s\n",
      "epoch 763/800 L2 = 0.002381, MSE = 0.000003, using 1.220426s\n",
      "epoch 764/800 L2 = 0.002395, MSE = 0.000003, using 1.210658s\n",
      "epoch 765/800 L2 = 0.002348, MSE = 0.000003, using 1.208353s\n",
      "epoch 766/800 L2 = 0.002386, MSE = 0.000003, using 1.212918s\n",
      "epoch 767/800 L2 = 0.002374, MSE = 0.000003, using 1.209616s\n",
      "epoch 768/800 L2 = 0.002398, MSE = 0.000003, using 1.216484s\n",
      "epoch 769/800 L2 = 0.002367, MSE = 0.000003, using 1.207529s\n",
      "epoch 770/800 L2 = 0.002389, MSE = 0.000003, using 1.224267s\n",
      "epoch 771/800 L2 = 0.002356, MSE = 0.000003, using 1.222933s\n",
      "epoch 772/800 L2 = 0.002372, MSE = 0.000003, using 1.196124s\n",
      "epoch 773/800 L2 = 0.002372, MSE = 0.000003, using 1.207673s\n",
      "epoch 774/800 L2 = 0.002377, MSE = 0.000003, using 1.202658s\n",
      "epoch 775/800 L2 = 0.002373, MSE = 0.000003, using 1.214025s\n",
      "epoch 776/800 L2 = 0.002357, MSE = 0.000003, using 1.220898s\n",
      "epoch 777/800 L2 = 0.002352, MSE = 0.000003, using 1.228799s\n",
      "epoch 778/800 L2 = 0.002362, MSE = 0.000003, using 1.223635s\n",
      "epoch 779/800 L2 = 0.002382, MSE = 0.000003, using 1.207782s\n",
      "epoch 780/800 L2 = 0.002381, MSE = 0.000003, using 1.215849s\n",
      "epoch 781/800 L2 = 0.002343, MSE = 0.000003, using 1.217009s\n",
      "epoch 782/800 L2 = 0.002360, MSE = 0.000003, using 1.208274s\n",
      "epoch 783/800 L2 = 0.002364, MSE = 0.000003, using 1.198659s\n",
      "epoch 784/800 L2 = 0.002345, MSE = 0.000003, using 1.200883s\n",
      "epoch 785/800 L2 = 0.002353, MSE = 0.000003, using 1.211280s\n",
      "epoch 786/800 L2 = 0.002341, MSE = 0.000003, using 1.205626s\n",
      "epoch 787/800 L2 = 0.002352, MSE = 0.000003, using 1.205935s\n",
      "epoch 788/800 L2 = 0.002367, MSE = 0.000003, using 1.204450s\n",
      "epoch 789/800 L2 = 0.002358, MSE = 0.000003, using 1.197371s\n",
      "epoch 790/800 L2 = 0.002342, MSE = 0.000003, using 1.200979s\n",
      "epoch 791/800 L2 = 0.002332, MSE = 0.000003, using 1.221059s\n",
      "epoch 792/800 L2 = 0.002354, MSE = 0.000003, using 1.213623s\n",
      "epoch 793/800 L2 = 0.002356, MSE = 0.000003, using 1.213641s\n",
      "epoch 794/800 L2 = 0.002336, MSE = 0.000003, using 1.210564s\n",
      "epoch 795/800 L2 = 0.002343, MSE = 0.000003, using 1.200270s\n",
      "epoch 796/800 L2 = 0.002347, MSE = 0.000003, using 1.219865s\n",
      "epoch 797/800 L2 = 0.002479, MSE = 0.000003, using 1.201715s\n",
      "epoch 798/800 L2 = 0.002419, MSE = 0.000003, using 1.210704s\n",
      "epoch 799/800 L2 = 0.002354, MSE = 0.000003, using 1.204813s\n",
      "epoch 800/800 L2 = 0.002361, MSE = 0.000003, using 1.191465s\n",
      "Total training time: 973.0270771 s\n"
     ]
    }
   ],
   "source": [
    "x_grid = np.linspace(0, 1, x_data.shape[-1])\n",
    "y_grid = x_grid\n",
    "\n",
    "ntrain = 900\n",
    "ntest = 100\n",
    "\n",
    "batch_size = 20\n",
    "learning_rate = 0.001\n",
    "\n",
    "epochs = 800\n",
    "step_size = 100\n",
    "gamma = 0.5\n",
    "\n",
    "modes1 = 12\n",
    "modes2 = 12\n",
    "width = 16\n",
    "\n",
    "x_train = x_data[:ntrain,::2,::2]\n",
    "y_train = y_data[:ntrain,::2,::2]\n",
    "x_test = x_data[-ntest:,::2,::2]\n",
    "y_test = y_data[-ntest:,::2,::2]\n",
    "x_grid = x_grid[::2]\n",
    "y_grid = y_grid[::2]\n",
    "\n",
    "x_train = torch.Tensor(x_train)\n",
    "y_train = torch.Tensor(y_train)\n",
    "x_test = torch.Tensor(x_test)\n",
    "y_test = torch.Tensor(y_test)\n",
    "\n",
    "\n",
    "x_train = torch.reshape(x_train,(x_train.shape[0],x_train.shape[1],x_train.shape[2],1))\n",
    "x_test = torch.reshape(x_test,(x_test.shape[0],x_test.shape[1],x_test.shape[2],1))\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(torch.utils.data.TensorDataset(x_train, y_train), batch_size=batch_size, shuffle=True)\n",
    "\n",
    "model = FNO2d(modes1, modes2, width).cuda()\n",
    "print('Total parameters:',count_params(model))\n",
    "\n",
    "optimizer = Adam(model.parameters(), lr=learning_rate, weight_decay=1e-4)\n",
    "scheduler = torch.optim.lr_scheduler.StepLR(optimizer, step_size=step_size, gamma=gamma)\n",
    "\n",
    "start = default_timer()\n",
    "\n",
    "MSE = torch.zeros(epochs)\n",
    "L2 = torch.zeros(epochs)\n",
    "\n",
    "myloss = LpLoss(size_average=False)\n",
    "for ep in range(epochs):\n",
    "    model.train()\n",
    "    t1 = default_timer()\n",
    "    train_mse = 0\n",
    "    train_l2 = 0\n",
    "    for x, y in train_loader:\n",
    "        x, y = x.cuda(), y.cuda()\n",
    "\n",
    "        optimizer.zero_grad()\n",
    "        out = model(x)\n",
    "        mse = F.mse_loss(out.view(batch_size, -1), y.view(batch_size, -1), reduction='mean')\n",
    "        l2 = myloss(out.view(batch_size, -1), y.view(batch_size, -1))\n",
    "        l2.backward()\n",
    "        \n",
    "        optimizer.step()\n",
    "        train_mse += mse.item()\n",
    "        train_l2 += l2.item()\n",
    "        \n",
    "    scheduler.step()\n",
    "    \n",
    "    train_mse /= len(train_loader)\n",
    "    train_l2 /= ntrain\n",
    "    t2 = default_timer()\n",
    "    \n",
    "    MSE[ep] = train_mse\n",
    "    L2[ep] = train_l2\n",
    "    print('\\repoch {:d}/{:d} L2 = {:.6f}, MSE = {:.6f}, using {:.6f}s'.format(ep+1,epochs,train_l2,train_mse,t2-t1), end='\\n', flush=True)\n",
    "\n",
    "print('Total training time:',default_timer()-start,'s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "17da5694",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n#test round using trained model\\n\\nmodel = torch.load(\"model/FNO_spde_2d\")\\nx_data = np.load(\\'data/spde_2d_x.npy\\')\\ny_data = np.load(\\'data/spde_2d_y.npy\\')\\nx_grid = np.linspace(0, 1, x_data.shape[-1])\\ny_grid = x_grid\\nntest = 100\\nx_test = x_data[-ntest:,::2,::2]\\ny_test = y_data[-ntest:,::2,::2]\\nx_grid = x_grid[::2]\\ny_grid = y_grid[::2]\\nx_test = torch.Tensor(x_test)\\ny_test = torch.Tensor(y_test)\\nx_test = torch.reshape(x_test,(x_test.shape[0],x_test.shape[1],x_test.shape[2],1))\\nmyloss = LpLoss(size_average=False)\\n'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "#test round using trained model\n",
    "\n",
    "model = torch.load(\"model/FNO_spde_2d\")\n",
    "x_data = np.load('data/spde_2d_x.npy')\n",
    "y_data = np.load('data/spde_2d_y.npy')\n",
    "x_grid = np.linspace(0, 1, x_data.shape[-1])\n",
    "y_grid = x_grid\n",
    "ntest = 100\n",
    "x_test = x_data[-ntest:,::2,::2]\n",
    "y_test = y_data[-ntest:,::2,::2]\n",
    "x_grid = x_grid[::2]\n",
    "y_grid = y_grid[::2]\n",
    "x_test = torch.Tensor(x_test)\n",
    "y_test = torch.Tensor(y_test)\n",
    "x_test = torch.reshape(x_test,(x_test.shape[0],x_test.shape[1],x_test.shape[2],1))\n",
    "myloss = LpLoss(size_average=False)\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "87c84f8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test error: L2 = 0.002620985188987106 , MSE = 1.8287601034572275e-06\n"
     ]
    }
   ],
   "source": [
    "pred = torch.zeros(y_test.shape)\n",
    "test_loader = torch.utils.data.DataLoader(torch.utils.data.TensorDataset(x_test, y_test), batch_size=1, shuffle=False)\n",
    "index = 0\n",
    "test_l2 = 0\n",
    "test_mse = 0\n",
    "with torch.no_grad():\n",
    "    for x, y in test_loader:\n",
    "        x, y = x.cuda(), y.cuda()\n",
    "\n",
    "        out = model(x).view(-1)\n",
    "        pred[index] = out.reshape(y_test.shape[1], y_test.shape[2])\n",
    "        mse = F.mse_loss(out.view(1, -1), y.view(1, -1), reduction='mean')\n",
    "        test_l2 += myloss(out.view(1, -1), y.view(1, -1)).item()\n",
    "        test_mse += mse.item()\n",
    "        index += 1\n",
    "        \n",
    "    test_mse /= len(test_loader)\n",
    "    test_l2 /= ntest\n",
    "    print('test error: L2 =', test_l2,', MSE =',test_mse)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dae065a5",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x750 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 71\n",
    "\n",
    "X, Y = np.meshgrid(x_grid, y_grid)\n",
    "\n",
    "residual = pred-y_test\n",
    "fig = plt.figure(figsize=(8,5),dpi=150)\n",
    "\n",
    "plt.subplot(2,2,1)\n",
    "plt.title(\"ground truth\")\n",
    "plt.pcolormesh(X, Y, y_test[i], shading='auto')\n",
    "plt.xlabel(\"y\")\n",
    "plt.ylabel(\"x\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.subplot(2,2,2)\n",
    "plt.title(\"prediction\")\n",
    "plt.pcolormesh(X, Y, pred[i], shading='auto')\n",
    "plt.xlabel(\"y\")\n",
    "plt.ylabel(\"x\")\n",
    "plt.colorbar()\n",
    "\n",
    "plt.subplot(2,2,3)\n",
    "plt.title(\"residuals\")\n",
    "plt.pcolormesh(X, Y, residual[i], shading='auto',vmin=-0.001,vmax=0.001)\n",
    "plt.xlabel(\"y\")\n",
    "plt.ylabel(\"x\")\n",
    "plt.colorbar()\n",
    "    \n",
    "plt.subplot(2,2,4)\n",
    "plt.title(\"training loss\")\n",
    "plt.plot(MSE,c='r',label='MSE')\n",
    "plt.plot(L2,c='b',label='Relative')\n",
    "plt.legend()\n",
    "plt.yscale('log')\n",
    "plt.xlabel(\"epoch\")\n",
    "plt.ylabel(\"error\")\n",
    "plt.grid()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "80b6914e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PFQPAgP4se4p5LGtsmr3VvP91F09UhRAGqS+ZpL4ESH2pJQP6N1bqS50yoD/LnqCNXEjPmk8bu7pdjXFMLMBoSTqgSTBJDASNfX6HKqUWtblkB2mtq7XWrwI3mJNS6cABVWvtInDic1Ibi7Z1QlRu3rf1I390K9OD19nUyjKntjK907TW9drIbXKBOSmcQD/rvrQfo2IKcEobyzW+91KtdUtNtge6MeZ9W82GW7LevJ+nlIppaQGl1Hja/8HtTY3f44uVUr3129Ljx4pOauw20Z0reI2f5XCl1NiWFlBKxWJcAT8kKaWsGMN1DwJ2Ygyt/R5GneMlpVRiPxZPiEOZ1JcCpL4k9aWWSH0p9DWkvjTwPYWxvxYppSYTCCo9pwdw4u1GEkwSA8FHGIlZAR5uL8mhUioh6HF7V8/qgh53pMkwwBvm/cVKqYktvH4K8OM21t9i3g9RSi1oZf0fNZ1uqgx6PLOFdWOAP7bx2i1SStna+cHqyn7qMVprTWC/36yUanY1USk1BLjZfPpaX5WtI5RSVhXUsbqVZU4B5ptPl3TyJd7BuIIbgTFUaEv+3Mlt9rTGprgTgDvbWlApFdXFpK9dPlb0kMZknvHd2MZXBE6g/tTKMr+m9fwFh4I/YnQPacBoMVCHkaslFyOPQ1sjywghWif1pQCpL0l9qSVSXzJIfekQobXOBj4znz6BEczXBJKjD2gSTBL9zmzyeSvGF2cOsFIpdUbwwVMpNVopdbNSaq25bKOFSqmtSqmfK6UmN1YAlGEh8Li5XC5G0+SOeNxcPgxjxJNTGn/4lFLzMUbPaOu78x2QbT5+Xik1zyyPRSl1IsYPY2vr78Roag5GE2p/tF0pdYy5bldGTBiG0cf/j0qp2Uopf/J9pdQM4GXzqRNY1oXt94R/YiTNTAC+Nj8/AJRSx2Ls93iMK3L39kP52jIc2GT+j44JrigppYYrpX6LkdxUYZT/wc5s3Ez0+Zj59E9Kqd81XnFTSiUrpR4FriK0ct2ntNYfYLQ+AbhXKfW4mRwVME5klDFy0L8wvh8pLW2nndfozrGiJ2w376cG/392hhlY+bv59IdKqYcaW+oopWKVUn8Cfk9gaOpDivldbaz03am13gpgdj+5CuPq27lKqdv7qYhCHLKkvhRC6ktSX2pG6kv+15D60qHlCfP+ePP+q0OmRaHWWm5y67Ubxo+5Bu7qwLJXYvw4a/PmBkqA+qBpGvhD0DonNpnnMtdxB02rBI5r8lqjguaPaqEs8zCi4Y3LODGa2mqMaPsl7ax/hlmW4PXrzMd7gMsa57Ww7jlNyu8M2i9OjGbNjfNO7Mj7ajJdY1y1KcVoOdA4rQG4qAuf8fPm+s+3Mt//GXVgWydg/Cg0lqnGvDU+L2/6WXbk8+xoOTCGLddAVif3QdP924CRo6CmyfRMYHYXv0vhGFdpgj/DMoyTc41RYVxCK983jASlGri2hXl3mfOWdPVzNpeJxLgKGvyeawjk1giePrQvjxUd/Xzb+l/CGLkoPWh+mblfs+jEdwfj5OjFoO14zW15zOevtbW/u/o5By3T4vGjM9+nVtaLx6j4auDjVpb5mzm/Dpjele+C3OR2ON56+xiI1JdO7Mj7QupLHSoHUl9a0tXP2VxG6ksd+ywPy/pSK+8zK2hbF3Z1W319k5ZJYsDQWr+CkWjvbox+sjUYJyf1wGbgUYw+4P8KWm0dRkXlcYxRSUowkjU2rvNvYLLWenkny7IemIGRQDYP46BYCbyAEeFf2876X2B08/gY4wfdCuRg/IDNJZAYr6V1P8aITH+CUVGwme/rOWCO1vqbzrwXUx5wHsYVntUYTV+jMQ7GO4H/AtO01m93Yds9Rmu9FJgE3A/swji4KvPxf+jCZ9lH8jH+Dx8j8H8Yi1H+AxjNjW8EpmqtN3XlBbRxleks4A6M/20Xxr5ZDlyitf5t995C92mta7XWl2Pkz3gJozJowfhfKwK+xWiSPF53Y1jlLh4ruk1r7cE4OXka40c/Chhp3qI7sR2f1voa4BqM72Mdxvd8I0aXkCt6stx96H/ACIzj23WtLPNXjNYI4cDrSqlDunm6EP1B6kv+daW+JPWlZqS+FPI6Ul86BGitfcC75tNDIvF2I2VGw4QQQgghhBBCCCFEH1JKbcXIl3SP1vr3/V2ejpJgkhBCCCGEEEIIIUQfM3PELcboijlWa53Vn+XpDOnmJoQQQgghhBBCCNGHlDFq5UPm07cPpUASSMskIYQQQgghhBBCiD6hlHodOBZIw8gDVQ3M1IfKKG4maZkkhBBCCCGEEEII0TfSgGEYo+19jTFi3CEVSAIJJrVJKRWulPqrUmqPUqpeKZWvlHpWKTWsC9uKV0o9pJTKVko1mPcPK6XiW1jWrpQ6XSn1qFJqg1KqTClVp5TapZT6j1IquUfeoBBCCCFED5A6kxBCCNExWusTtdZKax2vtT5Na72xv8vUFdLNrRVKqXDgG2AhxrCgy4FRwHygGDhGa72vg9tKBFYB4zGGflwPTDVve4EFWuvSoOVPBb4yn+4DtgB24BggCWPIwBO11ru79SaFEEIIIbpJ6kxCCCHEkUdaJrXu9xiVolXABK31pVrro4FfAsnAs53Y1oMYlaJ3gYnmtqYBjwDjgAeaLO8DXgPmaK3Haa0v1FqfZy77BUazuOe6/taEEEIIIXqM1JmEEEKII4y0TGqBUsoOFAHxGJWTTU3mbwFmAPO01hva2VYakAd4geFa68KgeWFADpAADA2e18b2BgP55tNRWuvsjr4vIYQQQoieJHUmIYQQ4sgkLZNatgijUrSvaaXI9LZ5f24HtnUWxn5e1rTio7VuAD4CrOZy7dJaH8RoMg4wpCPrCCGEEEL0EqkzCSGEEEcgCSa1bKZ531oirI1NluurbWEmnxxkPi3oyDpCCCGEEL1E6kxCCCHEEUiCSS0bYd7ntjI/t8lyfbUtgNsAG7DtUBw+UAghhBCHFakzCSGEEEcgW38XYICKNu9rW5nvbLJcn2xLKTUb+KP59DcdeO3gdXe0MmsCUIeRh0AIIYQ41A0HarXWaf1dkCPEYVVnkvqSEEKII0S360sSTGqZMu9by06uWpnea9syk1K+C4QDD2mtP+tEGdpisdvtMUOGDJnSExvz+XzGRi3S6K0rZP91j+y/7pN92D2y/7qvu/swPz8ft9vdk0USbTtS6kxSXxpgZB92j+y/7pN92D2y/7qvO/uwJ+pLEkxqWbV5H9XK/EjzvqYvtqWUigM+A0YBb2EMtdspWuuprWx7x/jx46fs2NHahbjO+fbbbwE4+eSTe2R7RxrZf90j+6/7ZB92j+y/7uvuPpw6dSo7d+6U1iN957CqM0l96dAh+7B7ZP91n+zD7pH9133d2Yc9UV+SMGDLDpj3w1qZP6zJcr22LaVUBMboJbOAL4GrtNa+DryuEEIIIURvkzqTEEII0RN8h9ZPlgSTWrbFvJ/TyvzG6Vt7c1tKKRvGVbXjgO+AC7TWrg68phBCCCFEX5A6kxBCCNFdn94J946AFQ/2d0k6TIJJLVsJVAJjzQSOTV1k3n/cgW19DviA45RSKcEzlFJhwLnm/M+azFPA88DZwGbgbK21EyGEEEKIgUPqTEIIIUR3VObC2qfAVQ1L/33ItFCSYFILzCtZj5pPH1VK+fvuK6V+AcwAVmit1wVNv10pla6UuqfJtg4CrwEO4DHzylmjfwPJwKta64ImxXgYuBJIB07XWlf0yJsTQgghhOghUmcSQgghuqkyL/DYXQueuv4rSydIAu7W3Q2cCiwEMpRSy4GRwNFAKXBdk+WTgInA4Ba29TNgAXAhkK6UWg9MBaYB+4CfBy+slPo+8BPzaQ5wn3HRrZl7tdbpnX1jQgghhBA9SOpMQgghRFc5i0Kfu+vA0dpYFAOHBJNaobWuV0qdBPwOuAI4HygHXgD+pLXucOZzrXWJUuoo4K/mdn4AFGJcyfuL1rqsySqDgh6f1samn8e4CieEEEII0S+kziSEEEJ0g7M49LnLCVFJ/VOWTpBgUhu01nXAn81be8veBdzVxvxy4Kfmrb1tPY9R6RFCCCGEGPCkziSEEEJ0UU2TYJK7tn/K0UmSM0kIIYQQQgghhBCiPzTt5uaSYJIQQgghhBBCCCGEaE1N05xJh8aApBJMEkIIIYQQQgghhOgHnibBJO2SYJIQQgghhBBCCCGEaIW3Sc4krwSThBBCCCGEEEIIIURrrE1Gc3PVSzBJCCGEEEIIIYQQQrTEXY/NVRU6yVXTT4XpHAkmCSGEEEIIIYQQQvS1Jq2SADwNMpqbEEIIIYQQQgghhGiJs6jZJJ/kTBJCCCGEEEIIIYQQLapp3jJJEnALIYQQQgghhBBCiJa10M1NSzBJCCGEEEIIIYQQQrSohW5u2iU5k4QQQgghhBBCCCFES1ro5oZbWiYJIYQQQgghhBBCiJa00DJJScskIYQQQgghhBBCCNESXdM8mGRxSzBJCCGEEEIIIYQQQrSgxWCSR4JJQgghhBBCCCGEEKIF2lnSbJrNXdcPJek8CSYJIYQQQgghhBBC9CWvB0tdWbPJtkOkZZKttzaslLIDE4FkIA6oBIqB3Vprd2+9rhBCCCHEoUTqTEIIIcQRqLYEhW422e45NFom9WgwSSmVDFwLnA3MB8JaWKxeKbUW+AR4QWvdwlh4QgghhBCHL6kzCSGEEEe4FvIlgRlM0hqU6uMCdU6PBJOUUuOBvwE/ABzm5BJgA1AGVGFcaRsETAJOMG93K6XeBf6std7bE2URQgghhBiopM4khBBCCACcgWBSncVBhM8FgFV7wesGm6O1NQeEbgeTlFKPADcBVmAx8CqwRGu9v411xgAnAVcAlwAXKqWe0lr/pLvlEUIIIYQYiKTOJIQQQgi/mkCD45zwwUyozQ7MczsHfDCpJxJw3wA8DozQWp+mtX6urUoRgNY6U2v9jNb6FGAk8ARwfQ+URQghhBBioJI6kxBCCCEMzkAw6UD44NB5roGfhLsnurmN0VoXdHVlrXUecIdS6p4eKIsQQgghxEAldSYhhBBCGIK6ueWHJeNSNhzaY0xwD/xgUrdbJjWtFCmlTu6J7QghhBBCHE56qq4jdSYhhBDiMBDUza3EPohaa3hgnsvZDwXqnJ7o5tbU10qpt5VSo3ph20IIIYQQQgghhBCHtqCWScWOBGotEYF5R0LLpBZ8ClwA7FRK/U0pFdHeCkIIIYQQQgghhBBHjKCWScWOQdRZwwLzDoGcST0eTNJanwOcA+QCfwTSlVKX9vTrCCGEEEIcjpRSFyul3lJKPa6UmtlkXpJSKrO/yiaEEEKInqGDWyY17ebmPjK7uaG1/hSYCvwOGAS8qpRa2rRCJIQQQgghApRSVwCvA5HADGCNUuqaoEWsGKO6CSGEEOJQ5fOBs8T/tMQxKKSbmz5CcyYBoLV2a63/BUwEXgOOA9abV9kSe+t1hRBCCCEOYb8AfqO1PltrfSxwM/CkUurqfi6XEEIIIXpKXTlKe/1Pi+3x1FmU/7nnSA4mNdJaH9RaX4URTNqGUSnao5S6XSnV668vhBBCCHEImQC82/hEa/0CcBnwlFLq4n4rlRBCCCF6TlAXtwZlx1r6EB5Xhn+ap0GCSX5a65XAmcCHGF3fHga2KKVO7qsyCCGEEEIMcPUY9SQ/rfUHwHXAC8B5/VEoIYQQQvSgmkAwqcQei82VQZ0KtExyHwLBJFtvbVgp5QDmAEcD88370cGLYORV+kop9Rpwu9a6orfKI4QQQghxCNgOLAI2BE/UWr+ulIoBHuuXUgkhhBCi5ziDRnKzRwOaOkugrY/3EOjm1uPBJKXUoxiBoxlB21eAF9gCrAK+M29RwH3AFcAxSqlTtdb7e7pMQgghhBCHiBeBU1qaobX+nxlQ+knfFkkIIYQQPSqoZVKpLRJwhrRM8h2hLZNuNe/LgdUEgkdrtNYt7ZGzlFI3AE8B9wMX9EKZhBBCCCEGPK3188Dzbcx/AHigr8ojhBBCiF4Q1DKpxBYGOEMScPuOxJZJwI+A77TWuzq6gtb6GaXUJcCJvVAeIYQQQgghhBBCiIEhKAF3mdUOQF3w+GTu2r4uUaf1eAJurfUznQkkBckB4nq6PEIIIYQQQgghhBADRk1QyySrFSCkZRKugR9M6rUE3F3wH2BjfxdCCCGEEEIIIYQQoteEtEwy7oNzJuE+Mru5dYnWOh1I7+9yCCGEEEIMZEqp44HNWuuq/i6LEEIIIbogqGVSmcUHhAaTLEdiNzchhBBCCNGrlgC7lVJX93dBhBBCCNFJWoe0TCpVHgBqLYHwjNVd1+fF6iwJJgkhhBBCHFpOAv4AnN/P5RBCCCFEZzVUgdflf1pmcWH1WfG5U/GYIRqrR1omCSGEEEKIHqS1Xqq1flZrfWF/l0UIIYQQnRTUxc2DhWpfLSfln0Ra2Wm8ybkA2KSbmxBCCCGEEEIIIYQAQru42eOI9oYT5zYGtt/DGDxYsXnr+6t0HdYvwSSl1LNKqSeVUsf2x+sLIYQQQgghhBBC9LmaQDCpxBGL3WsPmV1LOHZvA/i8fV2yTumvlknXAjcCy5RSnyul5vdTOYQQQgghDhlKqclKqcz+LocQQgghusgZ6OZWbIvG4XOEzibSeDDAu7rZ+ul1/4oRyJoJHA+sAqz9VBYhhBBCiEOFAxjZ34UQQgghRBcFtUwqtUVg9zVtmRRhPHDVQlhMX5asU/olmKS1/mvjY6WUAmb3RzmEEEIIIQYSpdSf21kkrU8KIoQQQojeEdQyqcQWhsMTGkxyNgaT3M6+LFWn9VfLJD+ttQY29nc5hBBCCCEGgLuAg4CrlfmOVqYLIYQQ4lAQFEwqs9qwu5q2TDK7ubmkm5sQQgghhOiYA8CdWuu3WpqplJoFbOjTEgkhhBCi5wR3c7NaWsiZ1NgyaWAHk/orAbcQQgghhGhuMzCrjfkaUH1SEiGEEEL0PGdQMMmiWxjNrTFnknRzA0ApdTFwCVACPKG13hI0LwlYq7Ue01flEUIIIUT/cn73HZ7SMixRUYRPmoh9yJD+LtJAcD8Q3cb8vcBJfVQWIYQQQvS0mqBubhYfyb7WciZJyySUUlcArwORwAxgjVLqmqBFrMjIJEIIIcQRpfS558m/805yb72V6sWL+7s4A4LWernW+rM25ju11kv7skxCCCGE6CEuZ0hi7TKLu1k3N8mZFOoXwG+01v8BUEr9EHhSKaW11i/1URmEEEIIMYD4nIHKlCUqqh9LIoQQQgjRB4KSbwNUUI+91ZZJ0s0NYALwbuMTrfULSqkK4HWlVD2wrI/KIYQQQogBQoJJQgghhDiiBHVxK7XFoXVNCy2TjGCSdjkHdJLEvkrAXQ8MCp6gtf4AuA54ATivj8ohhBBCiAEiOJhklWCSEEIIIQ53Qcm3SxzxKN3QrGVSHRF4UXgaBnbLpL4KJm0HFjWdqLV+HbgDeKyPyiGEEEKIAUJaJnWNUup4pVRsf5dDCCGEEJ1UEwgmFdtjQNMsmARGQMkzwEdz66tg0ovAvJZmaK3/B/wGONBHZRFCCCHEACDBpC5bAuxWSl3d3wURQgghRCcE5UwqsUVh99lRLXRmcxKBV1omgdb6ea11qxUerfUDWuvRfVEWIYQQQvQ/7XKhXS7/c0t0dD+W5pBzEvAH4Px+LocQQgghOiMkmBTRYqskMPImeQd4y6S+SsAthBBCCOHndYZWkKRlUsdprZcCS4Fn+7ssQgghhOiEoG5upTZHs+TbjWqJYJCrtq9K1SUSTBJCCCFEn/M5QytIlsjIfirJwKSUigTmAkMADRwENmitB3bNUgghhBCtC2qZVGa1Yne13DLJSQTaLS2ThBBCCCFCBOdLUhERKKu1H0szcCilLMDdwE+BphG2WqXUw8Aftda6zwsnhBBCiO4JbplkVW10c4uEAd4yqa8ScLdrII5MopQKV0r9VSm1RylVr5TKV0o9q5Qa1oVtxSulHlJKZSulGsz7h5VS8a0sP1Ep9XOl1OtKqUyllDZvad1+Y0IIIUQ/k+TbrforcAvwO2AcEA1EmY9/Z877a7+VrhVSZxJCCCE6wBkUTFK61W5uTiJQbgkmddQSBtDIJEqpcOAb4M8YFbkPgBzgOmCjUmpsJ7aVCKwF7gA8wPtANcZVx3Xm/KZuAR4ALgUkObkQQojDSmgwSbq4BbkOuF5r/YjWOlNrXau1rjMfPwLcCFzfz2UMIXUmIYQQogM8DVBf6X9aZvXi8LaeM0mCSR030EYm+T2wEFgFTNBaX6q1Phr4JZBM55JePgiMB94FJprbmgY8gnGl8YEW1tkG/Au4EBgBZHf1jfQF7XJRt2MHjt27Cduypb+LI4QQYoCTlkmtSgR2tjF/p7nMQCJ1pk7wlJdjz8zEkZ5O7caN/V0cIYQQfcVZEvK0nIaQbm6+4EWJwDLAg0kDJmfSQBqZRCllB35iPr1Na13TOE9r/YBS6ofA8UqpuVrrDe1sKw24EnADt2qtPUGz7wQuA65USv1aa10Y9DrPNNlOt95Tb/OUlZF14UX+2q2+7TaUo+UoqxBCCBEcTLJGSjApyA7gR8CvWpl/o7nMgCB1ps5zrvyOpP/cD0DhkqWMfvONfi6REEKIPhHUxa3SGo2bWuy+OP+06jAHcQ0uwMiZZPXU9XkRO2MgtUwaSBYB8cA+rfWmFua/bd6f24FtnYWxn5cFV3wAtNYNwEeA1VzukGWNiQl57q2paWVJIYQQoknLpOjofizJgPN74CdKqXVmDqIfm7e/KqXWArdj5E4aKKTO1EmWyAj/Y1/twB6pRwghRA+qCYzkVuKIx+KtDsmZVBkR6PbvJALbAG+ZJMGkls0071tre7yxyXJ9ta0BS0VGQtBIPL6qqn4sjRBCiIHO5wxcdJBubgFa6y+BBcAe4BrgIfN2jTntGK31V/1VvhZInamTLJGBkwVdO7CvOgshhOhBQS2Tiu3xWHRtSDe3yojAxbVaIrB56mAAD946ILq5KaUmA59orcf0d1lMI8z73Fbm5zZZrq+2NWAppbBGR+OtNBKKeas71zJJa83r63J4cuk+pgyJ5aFLZ+OwSaxTCCEOV5IzqXVmC58r+7scHSR1pk6yRAS1TKqTYJIQQhwxagLBpBJ7DFAVEkyqjoqn8adOY6EeB5GeerBHMBANiGAS4ABG9nchgjSGBFtrV+ZsslxfbavLlFKt5VcY63Q6+fbbb7v9Gsl2u/8fasPyZbiKi9pcvlGdR/PCTjdrC7wAZJXWkuj5mpOGD5R/z77jNE+ueuLzOBLJ/us+2YfdI/uv42J376ExhJRbWsouc591dx86nYdOtyGl1Mla60P9n+WwqjP1RX3Jlp9PsvnYU1Mjx4sukuNt98j+6z7Zh91zJO6/cfs2+q+GlNiMVqrB3dwc4RH48GExO5DVEsmGb7/AbY9tcXvd2Yc9UV/qk7N1pdSf21kkrS/K0QmNmRtba1PWmcyOPbmtAU0HXWmz1Hasf+eBKh+Pb3VRWBu6exbneDhxmHXAJ9EUQgjRNaqh3v9Yh4f1Y0n61ddKqXeBX2mts/q7MF0kdaZO0mGB/3fldoPPBxZpjS2EEIc7h6vS/7jEFg6A3RtomZRgs+Kyugn3Gr8TTiKweutbDSb1t75q+nEXcBBwtTJ/oA37VW3et9buvrGze0f6cvXktrpMaz21pelKqR1RUVFTTj755G6/RvaLL1GbkwPA5JEjGdTGNrXWvLLmAP/8dicuT/M6Y26NJnbsbI4aldDtch1KGqPKPfF5HIlk/3Wf7MPukf3XcTnvvOv/4Rs7bTqJ5j7r7j6MOrS6zH0KXAB8Tyn1H+AerfWh1u/psKoz9UV9yVNeTsafAtdZT1iwAKskoe80Od52j+y/7pN92D1H5P7LeQjMHNylNgfo0JZJR40dzb6d3/iDSbVEsHDeLEiZ1OLmurMPe6K+1FeXQQ4AP9Naj27pBpzdR+XoqAPm/bBW5g9rslxfbWtAs8YEKkK+qupWl6uud/OT1zbxx/e34/L4AFAKfnryOI4Zk+hf7uXV2b1XWCGEEP0qNGdSZBtLHr601ucA52AkSPgjkK6UurR/S9VpUmfqpOCcSQC+DrbmFkIIcYhzBkZzK7NasGqrv0sbwMRBsTTYfP7ntUSAe+B23++rYNJmYFYb8zUDq+nyFvN+TivzG6dv7eNtDWiWmEDzO29Ny8Gk7XmVnPvICj7eetA/LSnawUvXH80vTp/IDxcGUmd9uu0gJTUNvVdgIYQQ/UYScBu01p8CU4HfAYOAV5VSS5VSh8qIZVJn6iQVFoYO6savJZgkhBBHhqAE3KUWFdIqCWBobAwN1kCvHScR4Bq4vxF9FUy6H1jRxvy9wEl9VJaOWAlUAmOVUrNbmH+Ref9xB7b1OeADjlNKpQTPUEqFAeea8z/renEHBmtMjP9xSy2TPt6azwWPf0dWaeALsWBMAp/+9DgWjU8C4NTJqaTGGs363F7NG+tyernUQggh+oMEkwK01m6t9b+AicBrwHHAeqXU40qpxLbX7ndSZ+okpVRI3iQZ0U0IIY4AXg/Ulvqflll8ISO5uS1WUsLDcNsDFxtqiQT3ER5M0lov11q3+sOvtXZqrZf2RVk6QmvtAh41nz6qlPLXcpVSvwBmACu01uuCpt+ulEpXSt3TZFsHMSqGDuAxpVRwnqp/A8nAq1rrgt55N33HEhsIJnmrq5rN/+cnu0K6td1xynheuXEBKbHh/mVsVguXzw+M+PvqmgN4fa3l4RRCCHGo8tUE0t5IvhiD1vqg1voqjGDSNuBmYI9ZxxiQGZqlztQ12hG4Gi3BJCGEOMR5XPDej+HZs+BgK41na0sJHl+izOIJCSa5bHYS7Da8Dqt/mtEySbq5HYruBtYAC4EMpdQbSqnVGK2sSoHrmiyfhHFFcXAL2/oZsA+4ECMfwutKqW3AT83pP2+6glJqjlJqdeMtaLufBE2/sdvvsgdZg7q5NW2Z5PNpGqrLONa2n2nWg/zfRVP5+WkTsFqa9268fP4I//S8ijqW7C5qtowQQohDm7RMap3WeiVwJvAhRte3h4EtSqmBmqVU6kydFNIyyTlwrzoLIYTogPSPYMtrcOA7eO1yqK9svkxQvqRaSzh11OHwBi4seOwOrEqhwwIBJiNn0sD9jZBgUiu01vUYXe/+DtQC5wOjgBeA2VrrvZ3YVglwFPAIxtW2HwBxGFfy5pvzm4oFjg66Nf6nzQma1lqCyn5hiQlumRQaTKqqd3OsLZPxthLm2XPZ/NnLfPjhhxQWFjbbTmpsOKdPSfU/f0kScQshxGFFax2SdPhIDyYppRxKqQVKqTuUUq8opfZijIJ7buMiGHmVvlJKvayUiu+vsrZE6kydp8OCWyYN3BMFIYQQHXBwS+BxVS58/vvmyzgDDSSKHYOweKtDWiY1tli1hQcGaRjoOZNs7S9y5DKH5/2zeWtv2buAu9qYX45xVe2nHXztJQyspOTtsgZ1c/M1CSaV1jQQrwLNuL0eDxs3bmTjxo2MHj2ao48+mgkTJmCxGPHNqxeM5LPtRiv2pXuKOVBay4jEI3O0HyGE6FNag9cFngbj3mqH8LiefYnaWuN1TEdqMEkp9ShGoGMGgTqZArwYyahXAd+ZtyjgPuAK4Bil1Kla6/19XuhWSJ2pc0JaJkkCbiGEOLQV7w59vvllmHwOTDwrMK0m0DKpxD4Ii68Khy/NP81ttXP1M2vwRNkBD9CYM2ngdnMbMMEkpdTxwGatdfNkO+KQ0FbLpILSClro0QbA/v372b9/P4MGDWL+/PkMHTqURG8dC+JrqKh24sDLC299wIzBkTQ0NJCWlsaiRYv8gSchhBBd4PPBl3+AXR8ZTag9LvCaAaSmFtwKZ97TfHoXeZ2hFaMjNZgE3GrelwOrCQSP1mitW6o9nqWUugF4CqML2QV9UkrR47QjEEzSkjNJCCEObU2DSQAf/hRuWwORCcbzkJZJ8ShfXkjLpAq3YmVuCWkjvUw0pzmJwNdQM2C7kw2YYBKwBChUSv1aa/1SfxdGdJ41NjhnUmhMsLiswv/Yg5ULv38Oa9asoaAgkEOzvLycL774wv98EoD5/fIWwCZz0Z07dxIeHs78+fN7+i0IIcSRI/0jWP1Yx5Zd/RjMvAwG98xo9cH5krBaUUGtNI4wPwK+01rv6ugKWutnlFKXACf2WqlEr/NJyyQhhDg8uOuhIigti7KA9hnBo09+ARc/b0yvCQSTSmzRKDQOX6DLc4M2Em9XuWyAcWHPi43a+joG6jAlAynIdRLwB4x+9uIQZA1qmeRzOtEej/95WUUguOSxhjN79mxuvvlmrrvuOiZPnoxSnWudvm7dOrSWUd6EEKLLVj/eueWX/afHXjo44bAlKqrTvwGHC631M50JJAXJwcgjJA5RIaO51UrLJCGEOGSV7jWCRwBWB5x6V2Dejvdg+zvG46AE3CU2I31LcMukxmBSfUNgpHOAqgE8SMOAaZmktV4KLAWe7e+yiK4J7uYGxrDP1vh4AKqCWyo5jKRiSilGjhzJyJEjqaio4L333iM7OxulFPHx8URFRZFd4Sa70o1LW0mMiSC57gAAxcXFHDhwgJEjR/bJexNCiMNK3kY4sCrw/MJnIGkC2MKMipAtDKxhkLkY3rnBWGbXh1C0C1Imd/vlZSS3bvsPsLG/CyG6LiQBt7RMEkKIQ1dJUBe3hLFwzE9gzxeQvdKY9skvYeSxTYJJRuvU4GCSywwm6QYHStWjtRFUKnfWM6SX30JX9WnLJKVUpFLqOKXUpUqpS8zHklX5MGGJjkYHXV321tT4H9fUBHIo2cIiaMput5OXlwcYo/wMHz6cG2+8kUsvv4Jl7rGs9ozik/JUUoYO96+zfv363ngbQghx+FvzRODxsPkw/SIYPAOSJ0LCaIgdAlGJMPUCSA4KHi1/oEdePjiYZI2WYFJnaa3TtdYd7KMoBqKQBNwympsQQhy6ivcEHidPAIsFvv9fsJv1m7py+OiOkG5upTYjiOTwBi4suHxGMAl3OKh6//Sq+hZyWQ4QfRJMUkpZlFL/BIowWh+9BrxuPi5SSv1DHalt3A8jymLBFRFFYeQgIDRvUkPQVbewiOa9Pjds2IAnqFvc1q1bKSgoYNrQOGYNj/dPz7MG4rI7d+7E6Ry42e2FEGJAqjoI298NPF9wS+vLWixw/K8Cz7e/DaX7ul0EnzNwscESKcEkceSRBNyHvzqvj+u37WfWyh2csX43N27fz9/25vN8XgnfllaR4ayn3uvr72IKIbqrOD3wOHmScZ8wGs74R2D6ns+hYJv/aZk5kFRIyySPGUzyhqMtDf7pzgZ3z5e5h/RVy6S/ArcAvwPGAdEYQ9yOM6fdYi4jDlG7DlZx80vrufzk3/GPo64BwFsVaI3kaQgEfSKjQoNJHo+HtWvXNtvm119/DcBVCwJd2d7br4k0u0R4vV62bNnSc29CCCGOBOufAZ9ZMYkdBpPPa3v5qT8wmm2DkRNgRedaJ3lbyG/X2DLJmjINa8oi6jPK8bm8ndquEIcyLQm4D3vP5ZXwaUklBS43W6rr+Li4ksdyivjtnlyu2JrJcWvTGbVsK0ev2smXJZX9XVwhRFeVBLVMSpoQeDz3Whh7StCCgfpQqdV4HJyA2+U1QjPaF47PEmiZVOcauEHnvgomXQdcr7V+RGudqbWu1VrXmY8fAW4Eru+jsoheYLUovthRSJ0tjIxBwykLi8FbHWiZpF2Bq26xsaG5lbZt20ZNUJe4Rnv37iUrK4tzZgwmPtKI2ta6NfaUMf5l1q9fL4m4hRCio9x1sD4oNeH8H4G1nfSJFisc98vA8y2vQ8WBDr3c6wdLmbh8G9dszcQXdKxuDCbZh81DRc2k5JntVH6S2eG3IcShLjRnkrRMOtz4tOal/JIOLZtd7+IX6Tm4fVKfFeKQ4/UYCbhNObbhgXNTpeD7j0J48/EyyixGgCi4ZZLbY4ZmtA23JdC1rcEzcDtw9VUwKRHY2cb8neYy4hA1PiWaofGBXEjrUyfhC2qZZPUGmuoNio/1P9Zas2pVIAnsnDlzGD48kBfpq6++Isxm4ZJ5gWlfFwe6RJSVlbF///6eeyMCtDZuQojDz9Y3obbUeGyPhDnXdGy9GZdA3Ajjsc8DKx7q0GoPZBVS4/XxZWkVayoDLVT9LZOCruCFjZbByVqilHpWKfWkUurY/i6L6DnSMunwtrK8hv11xsmgAv41YRi/Hp3G5YMTODY+muHhDqxB54clbg/flFa1vLFe5AZezS9leVl1u8sK0RatNd4jMSBakQ1e47vuQ3HqC/nc8MJ68irMiwSxQ+Cs+0JWaVB2qmlAaYVNBy7oNbgaQzMKlzWQ/qXB26dprjulr0q2A/hRG/NvNJcRhyiv18lRwyr8z9emTsZnJt32eDzYdaCvZ/KgeP/jzMxMiooCycgWLFjAqaee6n+el5dHeno6V8wf4Z+2o8RL0pBA17fDLRG31VsHnj5KtKY1VObBro/hm7/DyxfCfWPh7hRY+XDflEEI0Te0htWPB57PvBwiEzq2rtUOi34WeL7pJSP3UhvcPk1uUNLIzNrARQWf04mKSMASmeSfFjZGgkmtuBajnrRMKfW5Ump+P5dHdFNt7X58jsCVbJ/kTDrsvBDUKunkhFh+ODSJX4xK48FJI3hn9jjWHTOF7ONncm5yvH+51wtK+7SMXuA/xPCL3TlcsmUf3/ZDMEsc2rTWbM+r5C8fbGfO379i+l1f8Nm2tusGvane7e37HivFgZHccnzJNODg2/QiTntgKc+s2G8E2GZcApPOCaziSMDiqw7p4gbgNkdzA2iwBrq2uYJaLw007bRt7zG/Bz5SSp0AfAo0/pcNBs4CZgDn9lFZRC/w+uoZYX8O+DEAG1MmUF9pfMzV1aFXO9KSAicMwa2Sxo0bR0pKCgATJkxgzx6j/+k333zDLbfcwvETklm2xxhScac7iRSyAUhPT6empobo6OaJvQ8Z9VWw4z3mbH6M+Kp02DUGrvkA4ke0v25nHVgN+76F/E3GLWiYyhBf/RksNjjmtp4vgxCi72UugeJdgedtJd5uyeyrYNl9UH3QuAr33SNw5j9bXbygwcVNe99gxMFiiq0J7N0xiqfDHSilcNXX4zvpOCwO42KAslk4uSCVCbETWt3eEeyvGBf/ZgLHA6sAa5triAGtsnITOmwpYJwgSMukw0tRg5vPg3Ig/XBoy50vbBbFlUMS+Ki4AoCvSqsodrlJdvTNiePLRLJNGa+lgX9mHuTEhBgsMiaSaEdpTQPvb87nrfU5pBeEnuf97I3NjEyMYsqQ2FbW7nl1Li9//WgH727MY+7IQTxx1VziIvsoABOUfDtDD/U/rnV5+fvHO/lgcx7//MF0pp3zkBF4Ks3glcFnY/GlY/cGyuhTimG1BxjvzGR7zBRqg6I0DTo06DSQ9EkwSWv9pVJqAfAr4BqMIBIYQaWVwM1a6019URbRO2zWKCYlZGDXLtzKQZ09nE0VXoYAxWWBH9R6bSMxJhKAoqIi9u4NXJk75phj/I9POeUUfzCppKSELVu2cMOi0f5g0mc5ih8nRlPnrMHn87Fp0yaOO+64PninPcjng+wVsOkV2PUhuGuJb5xXlgnv3AjXftp+PpOOyloBi+8xXrOjvvg9hMV0vCuMEGLgCm6VNP50SBrfufVtYXDsHfD5b43n65+FRT+H6OTmy7qcRLz3Y1LyYjnAMPABJUXkNs5XCmLDAfP3wYeMztkKrbV/gBJz5NvZ/Vgc0QMcjkR0oJcbvrq+CSZpjw9vtQtvtQtflQtfrQfHyBjsqTKiYk967WAZHrNxxJAwOycntH5SfdygGIaE2clvcOPV8HZBObeMSOn1Mr6YV8IXKjxk2vaaOj4truSclPhef31x6PF4fSzZXcxbG3L4Nr0It7flFkANHh+3vLKBD29fRFxE7wd0MotruPWVjf6g1qrMUm5+eT0vXD+fMFvvX3fRJbtpDL/u1UMZlRhJVb2HMqfRMntrbiXf/+9Kblw0mjtuWMLVazewUseRmHt7SMukBouNM4q+xqE9DKnLJ318oANZPaHf1YGkzzrgaa03aa2v1FqP1lqHm7fRWuurJJB06LNYwgmzepmmA8GhFbXGP35Babl/Wq22E28eWFavXu2fnpKSwpgxgcTaqampzJw50/988eLFHDMqjimDjR9kjaI8Yph//oYNG/D5Bm6m+xDlWUZQ5/9mwgvnwtbXwd1CRTJnDSz9V/dfL2slPH8OPH9264GkuOEw+Vw45c9w2asQH+hGyIc/DR1GXAhx6CnZCxlfBJ53tlVSozk/hCgzeOSpg9X/bb5MRQ48ewaOPd9QRAuBJtFl2rCxv8shusfuSCS4d4PuhQTc7uJayt/LoPiZbRQ8uIH8v60i748rKfjXOoof20Lpy7sofzeDwgc3Uvl5FrqVE8NDmdPjZVdNHTWevhsp0qs1Lx8MdFe7cnAiNkvrLX2sSnFpWqC78WsHy3q9m86K8mp+n+EP7RNcuvuyClocgVMc2fYW1XDKA0u58cX1fLGjsFkgac6IeH5y8jgaG7Vll9byyzc34+vlHEqfbz/IeY+ubNY6anVmGb97Z1ufdHmrzgmkhd6nh3DhyWP48ufHc8GcQCslr0/z5LJMTn9kLTvKIkH7UL7qkOTbHhRDHJUclZjDMEsJNbZAY4JaIvD2VQqUTurxlklKqdFaa8mIfIRRSmGzRTHLupNNegoA33njASgtD7RMcjmq2Fy8kUnRk9iyZYt/+jHHHINq0qz2pJNOYvv27Xi9Xqqrq1m3bh03nzCGO17fDMAn+eFcFKbQWlNRUcG+ffsYP76TV9r72qr/whd/IHhoSL/weHISFhLmKiOlxAy0LbsPRh8Po7vQ6ip7FSz5J+xf1nzeiGOMoSqHzIYhsyAqKXR+yhR47iyjOwsa3v0ROKJhwumdL0dTWkNNoTGygT2i/eV7mssJmUvBVWMMiW4fuNF+IXrMmicCj5MnwZiTurYdRyQcczt8/Rfj+dr/wcKfBnIvZa2EN6+B2hKymehfLYZqYuOdHH3yrWitKXniGSyDFvnnx50zhhEjeqFb7wAndaYjk8OeiA4LGt2wthatdbN6UFdpn6b0pZ14ijoWpKpekoPrQBUJl0/CGjNwu1O0p6jBzZpKJ+sqnayprGF7TR1eDVFWCzcNS+aWESnE9nJLhSVl1eSYueKsCq4Y0n5euksHJ/BgdiEAe2rr2VRdy5zY3mktllXXwI+2Z/lbTsVrH4/PHMcVWzPRwG5nPR8WVfCD1EG98vri0OPy+PjJa5vILg298J0aG8YFc4Zx0dxhjE02Uo04rBbu/8roWfL1riIeX7qP204a1+Nlcnt9/OuzdJ5eEfrzOTE1ht2FRmDp3U15DE+I5Oen9V73eZ/Xh608w/98T8xoXqoqp6zAxgOXzOKC2cP4w/vb/Psut7wO1tZhm2xD4QtpmaQ1XDRiG1E2N5Nii3mZQDDKhYPCyjKGJKb12nvpqt7o5rZKKfU9uXJ25LFao5gZsRPMY022NZoDpbWUVwYS+tWF53LdF9dxbdK1eL3GlaLo6GimT5/ebHvx8fEcddRR/hZMy5cv5/afzGZ4QgQ5ZXVU++zo2MFQmQ8YrZMGdDApbyN8+UdCAknKAuNOhVlXwMTvkbFsJVZPHSm+IqOrGxrevQluWdnxRLkH1sDif8D+pc3njVwEJ/4WPWpR25XWhNFw9ftGQKmuzBi96c2r4ap3YNSi1tdrjdaQux52vg87P4DKHCM4NeV8mH2lEdzqzT76FTmw53Pjtn85NI4uOPwZuPItCO+7ft1CNPL5fJSWlhIZGUlUVC92M6krh82vBJ4vuMX/fSs76KQ4u4rRs5JxhHewSnDUDbDyIWO7rhpY8ySc9DtY9wx89mvjeAFkEWg9OoYchvlySRw9gaEx4WTVRGKLM3q8q3DN0IXzeuStHoKkznQEcjgSQrq5oTW6oQEV3jMXNxr2V7YZSLJE2rDEOND1XryVxu9hQ2YlhQ9vJOHySYSPje+RcvS2emAVDt7flc3aSidZdS1fuXd6fTyYXchzeSXcNiKF64clEWXtnaDSS0GJt09PjGNwWPvBuVERYSyIi2K1OeLl6wfLeiWYVO3xcvXWTMrNllp2rfkF1ZyUGMv3U+J5v6gCgP/sL+Dc5Pg2W1SJI8f/fZPBroOBc7mzpw/monnDOG5cEjZraCen204ax+acCr5JNwZXuv/L3cwcFs+i8U0uWndDYVU9t7+6kXVZgZ4v0WE27rtoBqdMTuWHz65lVabROvDhbzIYnhDJyTPSWFvhZEOVk3qfD5tS2JXCbjHubUGPZ8dGMTs2skNlWbxuC6fowLF217jJAPwvt5hrhyaxaHwSX/zseB7+JoOnlmX6R7uzZxfASEJaJoX56omyGQNWpYQ78Tb5+uWVFuE8/xI0GktEJMOffIKw0aM7vwN7WG8Ek+KBJUqpS7TWn7e1oFLqaK31ml4og+gHVms0yVH7GF5QSE5sKgCLdxdRE5SAu95WD8CLxS9ybPixpNSnMH/+fGy2lv8VjzvuODZt2kRDQwP19fWsXvUdPzpuHH/+wBj8b2lZDCeY9YHdu3dTVVVFbGzXAwO7d+8mLy+Po446ipiYmC5vpxmvBz76KWizK150Giz4Mcy4DGIH+xfbVeZlWa6VAyP+wlUVN6J8bqjOhw9uh8teaTvg4vPCt3fDigeazxuxEE76HUvdk7n3w3SKqr7mngumc/rUNiLcKZPg6nfh+XPBVQ2eenj1MvjhBzB0bvvv2eeD3HVmAOlDqMoNne+qgc0vG7eEMUZAbeblEDesxc11is8H+Rth92dGAKlwe8vL5ayGly8wgmThMpLUkUJrTX2Nm5qKBrxuH4PSIgnrq0SNGEGk9PR0lixZQlFREVFRUVx33XUkJfVcZSvExpcCXWkjEmDGpQBkrCvkq+d2on2aUTOKOfvWGR3bXlgMLLjVCFoDrHncOE5tfDGwjDWMTbZZ0GAc80aSyzhnFte8t4W3rzwK7Kn+Re1JA3fI2z4Qj9SZjjgWSxg6LBwjmZjBV1uLpYeCSbXrCvyPHSNiiDl+GJYYB9ZYB9YYB8pmfOd8DV7K382gbouRj9JX46bk6W3Enj6SmBOGowZwMEFrzT+JZa+yQUF5+ysAFR4v/8g8yFO5xdwxMpWrhyQSZum5409+vYsvSwIn3dcMaTnxdksuH5zoDya9X1TOX8cNJcLac2Xzas2Pd2STETSq5s04GYcRWPrV6DQ+LKrAB+yra+CdwnIuHdzBi5iiX9W6PJRUu6iqdzM2OZoIR88FSjcdKOexJYEUJlctGMHd5zdvANDIYlE8cMkszn10BQfKavFp+Onrm/j4J4sYEt/93gjf7Svhp69toqQmEDielBbDY1fOYYzZOuqJq+by/cdXklVsfJ9+9fYWXPvz8CWGtbjNlrw9ayyLBjU5D6wphrevM3o4XPQMnrhRfLF0CaeYs4tUAlWJRos+j4b79hfw6JSRhNut/ObMSZw7YwjnPLICn9ZYdA0QGkyK8NWFJCBK8nhw0IALo9zF5SVEl5SA1ngB1UsB8c7qjWDSqcAHwIdKqZu11s81XUApNQ34B3B2L5VB9AObLYr6SJhfuCskmDTJWeNfpt5qBJN8yseq1FWcUnQKc+e2HpiIiopi4cKFLF68GDDyLN10yzweinJQ5nSR5Y7hpMgofA1OtNZs3LiRE088sUvlz8vL4/XXX0drzZYtW7jxxht7LqC05nEo2BZ4fuHTIV3X9hZVc8+n6XyTbhwc1xTYqY69kltdzxsL7P4E1j8DR93Y8vadJfDODcZoTcFGHAMn/o7ipKP5+ye7+HDLWv+sn76+iQ9vX8SE1Dbe45DZcMUbRsDFU28ElV6+0EgMnjolsJzPZ3SJK88ybge3wK6PjBPMjijLNAJh3/4Dxp4Es66EEQtAWY0AmrIYN5T5XBmtIipzjVtFDlTmMGv/VsIaSuC7MiOfS2ts4cb7ASPg9eL5RuAsQpp1Hy601uRnVFB8oJqaigacITcXXk9ojrWYhHASh0WTNCyaxKHRJA6NIi4lEksPnkxprdm9ezeLFy+msLDQP93pdPLVV19x+eWX99hr+Xk9sPapwPN514E9gp0r81n8crq/oWTW1hIO7qtk8NgOBlXn32SM5tZQBfWVoYGk6DSqz3sG36tf+yeNIpdYr5P8oizu+SyGH0YFurTZh3S8gncYkjrTEUo7YvAnoAd8tXXQA+fuvlo3tdsDrWOijxtGxLSWA9WWMCsJl03EOTqWio8ywatBQ9UX2biyqhh0yUSsUQNzSOp9dQ1GIKmJIWF2jo6LYn58NEfHRTE0zM7/ckt4IqeIGq9x3C92efhjRh6PHyjil6PTuCQ1oUda4bx6sMwfHhwR7uCEhI7XIc9JieP3GRacXh9VHh+flVRyQQ92Nbt7Xz7flAUCXT8bmcr8rDL/83GR4VyYNoi3zMDcA1kFXJA6CPsADij2BK/HR0VhLeUFxgWXiBg7kbEOImIchEXaeqzraXcVVNbz1voc8ivrKKlxUVLTYNyqXdS5AznBhsZH8L9r5vXISGp1Li+/fHMLjWmPRiZG8vvvTW53vbhIO49fNYcLHvuOBo+PMqeLW17ZyJs3L+hWQuwXV2Vx14c7CE7DdMGcofzj/OlEOKxk1zXwf9mFrKyoIXtyNI7KOpTLBxrsm0txHZ2Mju7Y8ezNgrLmwaTFd0PWcuPxsvt5Z+hviKra1zgoJ3uiR4Us/k5hOT8ZmcrEKOMiwZQhsYwbEsOevCqU1Qh0ObyBlotRvtqQYNIQt4sI6vzBpIpSI5DUyBLZsdZTva3HKyVa6xVKqYXAZ8DTSqlhWuu/AyilxgJ/Ay7F2F15Pf36ov9YrVHoCDiqcBfvjD8RgFX7ShkdExihp84aOMH3WDysGrKKaqqJovXmvMcccwxr167F6XTi8XhY891yrl04iQe+2oNGsd2VyBSM19i4cSPHHXcc1i5Ea9esWeNP1FZZWcmrr77KtddeS1hYN090yrNhcdDw2bOu8geSiqsbePDrPbyxLsff9LHRfVWnMs2xkeMtW40Jn//eCA6lTg3dft4GeOOa0JY/SRPhrH/hG3UCb2zI5Z4Xl1JV7wlZrd7t47ZXNvLB7ccS6WjjUDDqWLj0ZXjtcvC5jSDOS+fDlO8Hgkfl2YGuY61RFhh5rLHe+NONIM6ml4z8Rf6ufxr2fWvcuqDNenjCWJh4Fkw4E4YfbYxItf4ZY17+Rnjx+0bXvo52JxQDUr3Tze7VBWxflkdFYcdHSKouq6e6rJ6srYGTMJvdQsLQaEZOTWDsnBQShkR1qWKptSYjI4PFixdz8ODBFpfZvXs3WVlZjBo1qtPbb1P6x0a3UgCLDY66ka2Lc1n+xh40PpwxmbgdVURVj2b9p/s59yezOrbdiHiY/yNYfn/o9KFz4dJXyD4QSEAbhZNB5knzRFse766I4bqowGhFYaN6sBXoIUbqTEcwSxw+ewUWt3FM8dX2zGiGtVuKaUyIY4myEzG57d80pRTRC4bgGBZD6Su78JYbv+X1u8spemQTCVdMImzEwOsKvqws0Op9WLid348Zwvy4KIaFN+9W9qvRaVw/LIlHs4t4Lq+YOrO+ldfg5hfpObycX8pbM8cS1Y0TXY9P80pQ4u2rhyRi6cTvRZTVynkp8bx20AjwvHawtMeCSa8fLOXxnGL/87OS4vj16DSWZO0KWe4XI9N4t7Acr4bsehdvFJRxVSdaVw1kPq+PyuI6yvKdlOY7Kct3UpZfQ2VRXatJoi0WRUSMnYhYB5ExDuJTIxkzK5nB4+N79EJTe3YdrOLSJ1c1q8e3JK+ijouf+I7/u3w2p0xObXf5tvz7i3QyS4zjklJw/8Uz2z5fCDJ1SBx3nz+NO982zmG25FTw9493ttmqqS0bD5SHBJIcVgt3nTeVy+cPRykjf+6N27PYVmOeZ0bYcM1JxLG2BOXTKI8mfGMpi743lpHxEbh9Go/WuLTG49O4taawwcO6KuP9riyvCc1jV1sGW97wl8e3fxkP7bqA21XgovnumKDBizDObP69/yDPTAt0RRs3PM4IJtmM1wlumRTjC/0NGOKuJZx6/yUHZ0VZyHxLRD/knW1Br1zh0lrvVkodA3wM3KWUGgV4gGsx4ncFwL3Ak73x+qJ/2KxR+CI1U0v3E+Gup84eToPHh7eh1h9orbfVE+ay4LL70AqqfFXc8vUtPH/m88SFtXxF3OFwcMIJJ/Dpp58CRsDo6uvn8cRSK7UuL9vqEpgSkQNaU1VVxd69e5k4cWKL22pNbW0tO3bsCJl28OBB3n77bS677LIuBacAI4L8yS8DXUwik+D0v1Pr8vD08v08uXQfTlfoKCNDoxUHnRqftvAL1y18FvYbklWVEax5+wb40bdGElyADc/Dp3eCNyhPwJTz4fv/JaNC8/v/rQ7pUwyhyekyimr4ywc7uO/imbRp/Glw4f/g7euNrno1haGtHVqjLEaOpSnnG6PFRQcNdztoJEy/yGhVtOU1I6dLeVb72+woZYWRC2HCGTDhLEhqkgDw7PvBag8kJj64BV44D675AKIOj8rTQOaq81BdXo8j3EZUfFi3K2ZF2VVsX5pHxrpCPO6Ojexos1tQVoW7vuWRfjxuH0VZVRRlVbHukyziUyMZOyeZsXNSSBoW3W5gSWvN3r17WbJkCXl5zeMAjvokfNZ6PHaj9ebbr37A7XfcQnhUDyTAddUarQVXPRqYNvUHbFzlZtV7+wBwxuynLsqoCFXF7yJrZxSF+6tIHd3BE8cFt8HqJ8BtVoBmXgHnPAj2cHZnrvcvFuVwosxD1ASVg9032X/1zVdXji1tbLfe6qFO6kxHqhgjb5KRIgNdF9qatmb5cmqWLiP+kosJn9DxBLLOoC5ukXNS/F3a2uMYFkPqT2ZT9tYe6ncZJy3eigaKn9xK4hWTiZg6sH4XV5QHWr2fnRTfbuAlwW7jz+OGcPPwZB7KLuTl/FLc5gXEjVW1PJtXwk9Gdv3k+5uyKg42GB+mTcFlXegidnlagj+YtKK8hpx6F8NbCI51xrpKJ7/eHbjYODU6nEcnj2gx0DU6MoxL0xJ41SzDg1kFXJw2qEe7AvY1r9fHxs+z2fTVgVZ/61vj82mclS6clcYP2IGdZWxdnEtErIOxs5MZNycF7TMbzneB1prKojoK9ldSmFlFTXk9camRJA+PIXlEDPGpkWSX1XL1M2vbDSQpFWi04nR5+dGL6/nj2VO47thRXboI9t2+Ep5bmeV/ftNxY5g3qnP/0xfPG87GAxW8tvYAAC+vPsCcEYO4YE7n0lnUu73c+VaghdTguHCeunoe04cFzht3OesDgSTTsNRoRp0QwfrFB9CArvNSuaaQ39+0oMWgWEGDi1nfGSOz5TW42V/nYkyk2aBg44shPR4slQdQ9bmMcwTqdhmRRjApzmal0sxL9klxJVuqa5kZY5y3DRlidMXzt0wKSsAdR+iIdEPcTrSq819vb6gJna8O52ASgNa6UCl1HrAFo0IEUAz8C3hca13fW68t+oeyxFDrHoI9Pok5RXtYOXQGVrxYfIEDYJ21jrTicIaUhLNquvFjtbdiL3csvoMnT3uSMGvLrYDmzp3LqlWrKC8vR2vNjs3rueyosTy7cj912ClUiaRqo0XB+vXrOx1M2rJliz8heLCMjAw++eQTzj333K41dd3xLuz9yv/Uddo/eH+nk/u/3EhhVWhLnlGJkZw9zMOcFAtxY2fzize3cKAMfum+hRcd/zIWKt6F/uIPqDPvgU9/ZbTsaaSscNrfqJ/3Y/67ZB9PLN0XMnRnTJiNX585kSuOHsm/Pk/nqWWZALy1IZcFYxK5cG47B/epPzD6CX9wW+vLRCXDoFHGbeRCmHQuRIcODb54dxEvfpfF7BGDuPXEsdjih8MJv4bjfgUHVhlBpZ0fGl3q2qQgZrCRY8m87S6qoz4smZnHfc8oQ1gbLR6UgjPvNVprNJ5wF26DF841AkpNyi06p7GSVFlcR1VJHVWl9VSb91WldTQ4A8cFi1URkxhOXHIEsUnGLS4pgtjkcMKj7MZ3TxlX0JXFvFdGXHP/1mK2L82jKLuF/xcFQ8fHE5caSXR8GFHxYf77qPgwwiKNn8Ca8gZKcmsoza0x7vNqqCyqDW5NDEBFYS0bPstmw2fZxCaFM3ZOCmNnpzAoLRJ7uDXkGFFVVcVHH31ERkYGTTnqE4msGclgChkf9zEfssAoh6ucT+/5G4tOmkXK9GkQPxwcUY07FBqqjYT4teat8XFNIVQXGN1Kqwug6iA0VOK1QH5qOK5RkQw5WM8+13n+QFJ9eCF1UYFKkLZ4cMbsZ/1nQzqeOykqES572Ui8PfEso3uquQ/27Mv0L1YX6QAzmDRFHyBBB/bTrqpqvns6m8Th5Yyfl8qo6b2UN2qAkzrTkcfnHkRV3HBsQExNLr6gYJKntJTc225Hu1zULF/G2M8+Q3XghN6VV4M7P3B1O+qo1vMiOj1e3iosZ2JUOMfEGyc4lkg7iddMoWZZHpVf7DdSOnk1pa/uIvHqKURMGhgtd71as6IicMw/rhPdyVLD7NwzYRi3DE/mDxl5fFVqdP16Ob+U20akdKo1UbAX8gKtWr+XHE+yo/PdA4+Ki2JsRBj76hrQwJsHy/jl6K6P3qS15le7c3CZP2ZJdhvPTx/TZgusn49K462Cctxak9fg5pX8Uq4fdmjWh8oLnHz93M6W6wdBLFZFfGokFquirtpNXbULn7fl1koAdVUuti/NY/vSPKzhEDsU8oaWt9tiyVXvoSirioL9VRRmVlKwv4r6GnfoQtsCrdtqw+DVqAbKfcYFMquCqxaMZOigCJKiw0iKDiMx2kFydBgJUQ6WZ5Rw+6sbcbq8+DT87eOdZJbUcNe5U5slym5Ldb2bO9/a6n8+ITW6yyOi/eXcKezIr2RrrtG+5vfvbWNSWmynuuE99HUG+4oDLaQeuXx2SCAJ4L3CwIXzadERPD99tL+V4rNR0fztYyNItDW3kp++tpknr56LtclndU9mQcjzFeXVRjDJ64F1Tzcr11GWdMYGtUxqDCbdNCyZz0oq2W4Gt+7NPMhrM42LZjFJkWgLKGvznEnxTYJJgz01FAUFk9y1gd8IFRHRod+EvtArwSSlVDRwB/ALYBDGblDAauAxrXU7/WHEoaZgfyUrnjgdn+cs7JOrmZ/7DiuHziBSBQ6SGk2DtYHouhgm5sTgDPeydbxxcNlQuIHfLf8d/znhP1haCPFbrVaOP/54PvjgAwC2bt3K1Tcs4sVVWXh8ms31iZzhMH7IMzIyqKioID4+vkNl11qzfn3gKvo2TxqpYR5SvMb2Nm7cSFxcHCeccELndkpdOfqz39J4qNrsmMMlb8fi8m4NWWxQpJ2fnjKeK48eyYplSwCYNyqBT+84jrs/3snr6+Apz9ncZPsEALXhWRoyviWsKsu/jRrbIB5P/hPLN07kwNffUlEb+uP0velp/OXcqaTGGv127zxjIuuyyth0oAKAP76/nZnD4xiX0k6FbPZVxsntjvdDA0eNt7DoVlfVWvPot3v9Q4Yu3l3MtrxKHrl8NuF2K1gsRpe6UcfC9/9rJBTXPkAb99pnnFBrH2gv2KPAFnrFLu9bs3tcWgeb0SoFp98NFiusfNiYVrQDXjgHrvkQYrrXRPhIVFvlYveaAnatzPfnIGiPz2sGnjo4jHV7wqPtTDl2MFMWDSUuuf0rNzEJ4cQkhDN6RiCQ4XZ5Kct3kre7nH2biinKqgpZp6qknk1fHmDTl8YVN2VRhEXY8ChNQ3gRK5f/H17twWJx4/NZAQuO+gQia0Zi98RgVW7OHXI/kd6DZJDILoyRKA/YnCQsvwmWm8HtyEQj4FlbZnQz7QAfcDAtjP0jI2kIM04asodFUrL7Cyy279GAh5q45kGu+shCMnZlUpwzmuThHTw5G3uycQvidDppqAxU7HIGpUCF8XiKN4c0Fag8VXihNL+O0vw6EodGH5HBJKkzHXm2fJvDnvcuh/GQVLKVGdufxFcbOF7W70pHu4wIrDv7AHVbthA5e3a723U2SbxtT2k9p8Zv9uTytnkC9vTUUZyTEg8YwfqYE4bhGBFDyQs70fUeI6D00k6SfjiV8An9n1twS3UtVWbeO6vWHBPX+ZHPRkSEce+EYXyzaic+jG5dK8prOL4TgalGB+oaWBzU7a4zibeDKaW4bHAC/8g0ukO/XlDGz0eldjnAtb6qlt3OQBz6mWmj2m3pNDzcwRWDE3gh3xwNK7uQywcn9mgy8N6mfZqtS3JZ9d4+vEEtlZWCuJRIEoZEGbfBUSQOiSYuNQJr0PvTWtNQ66Gu2kVtlYu6ajfOigYO7Cwld1d5SLc4bz2U74P3H9yExaaMYJL5eSn/H+PO3eBtdpGqNbVK85qjgfKg1zq9xs7ETTXMPTOR8TNTsTT5TE6alMI7ty7khufXk1dh1KdeXn2A7NJa/nvlHGLDOxbgvPvjXf71bWZC7XB713pohNutPHblHM55ZAUVtW7q3T5ufGEd79y6kMFx7dfPNudU8NSyff7n1x87ulkLKa21fyRCgEvSBoV0d71+0WgOlNXy/HdZAHy9q5Anl+3j1hMDPRY+LKrgjYLQbmQrKmq4ZmiSkbe2MV1AkOMtW0lSgbrhnigjmLRwUDQzYiK4ett+ABaXVbOmooaj46Op0j58g8L83dyCWyYNslRT7hnCgYY5jAlfRSo1lFoD319PQ6AXykDJlwS9EExSSv0O+CVGhagBeBB4wLy/CPhWKXWe1rq09a2IQ018ciQ+j3GgcTtimFFu/BBGEDj5qbfWo5Umqs5YbnZGHLURHvYOM75QX2V/xb/X/ZvfHPWbFlsBpYxJYUfKDqwNViZWTuRg5i7OmzWEdzfmcdAXQ50lwsiED2zatImTTjqpQ2XPysqitNT4d9QadnuT2ex0cGGMh0h3BQCLFy8mLi6OWbNmtbktn0+zen8pq/eVMn3TXzitzhgas17b+Wn11f6rQwAOm4Xrjh3FrSeOIy6i+QE+OszGvRcaw1z+8W3FAs9OZliMA1NwIGmjbxy31PyMwpoEgpN5gpGI72/fn9qs37TdauHRK+bwvYeXU1nnps7t5bZXNvH+bce2PwrE1B8Yt06odXm4862tfLItNF/MVzsLuf75dfzvmnlEhQUdjpQCax/lmVUKTv0rWOyw/D/GtOJ0eP5so4VS3NCeey2fD7JXwNY3jWTpg2fCOQ8d8q2gfD7NgR2l7PruIFlbSlrNP9CUxaravPrXWWlj4ph2wlDGzUnBau9exdfusJI6KpbUUbHMOWMkVaV1ZG4qZt/GYgoyK5str32a2roa3GlriUjZw9jYImLjiomIqMbntdJQk4K7ciie2v0kD5nM1MhMwlYb34dTWcFuxuDDSgVxrGUmCzFHiq/t+E+lBooTHewbHUltZOj3R1sgcfLnxI1eQXbOLCoOjgQsREZGEhkZSUmJETyvid3L+k/GcNaPO9g6qQXZ2dn+x05HGJmRgTwCo537ibEEjjFVtsBJ4DqHlzldftVDk9SZjkwxgwKjtjkjjd9nX9BVZ3du6Oin1V9+1W4wSbu91G4u8j9vq1VSudvD+0WBgO8vd+cwMzYyJNAQNjqO5BumUfz0NnSDF7yakhd3knTtFMLHtR9Q8np9HNhRhqvWzbi5qd0+JgdbXhbo4jYeT5dzHQ0Nd3BKYqy/ddJL+aVdCia9crDMn/lxbEQYx8a3fmGtPRenJXBP5kF8QE69i+8qaponAu6gl/MDh41F8dEc3cFy/WxUKq8XlNHg0xS6PLyYX8LNw1PaX3EAqC6r55sXdpG3OzTFw6SFg1l08XjCItqvWyqlCI+yEx5lZ1Ba4Ddq5inDqXe6ydxczL6NRc0CSz6Pxkfn6zSD0iJJHR1LXEokFQW15Byo5IWacsqsgW2dUmtnmttGeUEtXz+/i7WfZDH3zJFMPDoNa1BX1klpsbx320J+9OIGtuRUALA8o4QLH/uOZ689iuEJbQchvk0v5I31gcDJT04ez7Sh3RvteNigSB6+bDbXPrcWrSG/sp4fPruWt25e2OZ69W4vvwrq3jYqMZJfnd6858nGqlpy6o1AiwLOS2l+fPrTOVPILa/l613GMfKBL/dw/Phkpg2NI7/exa93Nw8WrSivNkZeWxPoYe4Lj8dSXwHA0ZZAzrFyWwzF9gTCLIrZMZGEWRRHxUb5czDdk3mQ92aPo8ztwZcQhqpvnjMpzlLP+yV/p9aXQHrdSRyTeBcWFQgm+TxBLfoHSBc36J2WSf/A6Ov/NPA3rXVjO/pLlFIPYlx9W6mUOlNrndULry/6QXi0nYhYN3VVxpfC6khgfHkO7sTAQatxJLdITyQ+exgWdwMLtyVSH67JTTKuyL2y6xXSItO4dtq1IdtfV7COXy39FWVRZRAFNm1j7dq13HTpdby7MQ9Q7GhIZJ7dqIBt376dE088sUNd075etsr/OM8XR402KnkfVI/i0ti9WFxGpeXDDz8kJiaGsWNbzu9R5nTxoxfXsyG7nKNUOr8I+8w/72HPhRzQRoUx0mHlzKlp/Py0Ce0e1AFOm5LKrJ+fwoNv/IWxOTcTpQIXqV/wnMbdnqtxN/kqWy2K6xaO4uenTQgN0gQZGh/B/RfP5MYXjVZZuwur+etHO7j3wq6fRLYkp6yWm17awK6Dgeh9mM1Cg3lV8bt9pVz59Bqev+4o4iN7IFdMVygFJ//RaAGy9F5jWmkGPHYMnPInmHe90XqpK7Q2RvLb9iZseyd0hLvKHMjfZCQ4H3ronUZXFtex67t80lcV4KxoufFETGI4sUnhxCZGEJsUTkxiY1e2cCJjHHjcPqpK66gqrqOqpJ7KErNbnPm86ahrTdnDrEyYn8q0E4aSNKztCrfX66Wuro76+nr/PcCIESPaTbQfmxjBrFNHMOvUEdSUN5iVyULKyzcTnriH8JQdRCZmYnc03w8Wq5eIuINExBnBIy8fshVgURLh9V7SvCOYV2BlrflruVQvYAa7iVatJOQNj4OIBKPVUmQCRCZRHqvYa91GlS90BEWt7XjrI7BFGN8/W3gNY8evIG3INvZnzuO8836HxWLhueeMQcQ89hp27N7K/PwxJA7p2gnR/qws/+ODcUk0OIfhQ2FBE+5zYVMFePRQ6usqcTkCTd0j0gZO5agPSZ3pCBSfFlQ3ikjCp2whCbjduaEnNtVffknKr+9ss05Tu70UbeaEUQ4rETNav0jxaXFlY45uACo9Xm7dkc17s8eFjGrmGB5D0vXTKHlmO9rlBY+P0hd2knTdVMLGxLe47aqSOnauyGfndwepqzJO8Epyazj2ovGtlqezlpUHWgFNo2MtNluysryajVWB/f5ZSQXFLnenuqi5fZpXgxJvXzUksVsjgKWF2TkxIYZvzZZOrx9sYVSpDqjyePkwqLVGZxJpDw5zcM2QRP6Xa1xkeCS7iKuGJBI1QIYib4nWmt1rClj++h5cQbmRImLsnHTVJEbP7JmLduFRdqYcO4Qpxw6h3unm09eWU5ULdUWqQxfSHOFWUkfHkjo6jrQxcaSOjiU8aMTEOpeXa55dQ1FdYFvnJw9iYYOd4pxqf5enquI6Fr+UzrpP9jP3jJFMWjgYm9l6KCUmnDduWsAv39rCJ1uNekdGUQ3n/3cl9144g9kj4kmMcjT7Py13uvjNO4GRp2cMi+PWk3omp+EJE5K569yp/OVDIz/tnsIabnxxHTeM1TisLX9fHv4mg71FxjmYUvDvi2a2eME7ODB+THw0aWHNv79Wi+L+i2dx1sPLyK+sx+PT/PT1TXx0+yLuSD9Ahad5qpMyt5f9+9czNnulf9oHg3/GD/bfBcAwS+B7nxE5EpQRSAo3W4z9dkwaF242WlWtrnSypKzaCCYlhqEKmweTvN5Yan1Gq6sSzxgifOFgCQ4maSwxg9GumsO7ZRLwGvBnrfW+pjO01j9XSuUA9wGrlFLnaK039EIZRB+rr6/HHVdDoTOOOqUZFTOcowp3sTkpEJhwWes4o8ZJMhasU+bg3b4Oi9fDCRsS+XKhj+IY4wtz/4b7mZAwgYVDFqK15pVdr/Cf9f/BqwNf9IzYDMbkjkFVFXDKpBS+SS9ivzfBH0wqLS2loKCAwYMHt1nu3TnF5OzP8CcIz7akcdLEZBbvLqYBO+9Wj+aS6Ax87np8Ph9vvPEG119/PWlpoVf8cspq+eGza8ksceLAzT/tzwReQ49g95gf8uuxKSwYk8j0oXHYO9lcODkmjH/ccD7ffVjM0Zt+S4O28YDjZjalnMlpceGkxoaTFhtOWpxxPy4lmsTo9kehO3VKKjcuGs3TK4wWT6+vy2HBmETOn90zrXFWZ5Zy6ysbKXMGmmYeNz6JBy+dxd0f7+T9zcaJ7+acCi57ajUv3jCflJjw1jbXu5SCk35nBJQW321Ma6g0clNtfhXOeQCGtN/NwK88G7a9ZdyK01tfrioPnj0Tzn0IZl3RrbfQF3xeH/u3lrB9aR656eUtLhMV52DSMYOZtHAw8W10swAjGJQ4JLrFwIXW2ujZqDX4wKc12mcMXa21RvvAHmENaZ7eyOVysWzZh2RlZVBVFUZ9fT0ul6vZcmB0ox0zZgyTJ09m4sSJREW13WUielAY005IRSf+nZKSr9tctj314VayyGPkQi9bPoykoaGBBhXGY867SHHGE2MtRqGxxScz98I5DJ0+OqTVXk3Nbvbuu4/S0sUQEnez4Mw/loMbz8bbEE3CxC9JnPwZFqtx4hUVVcm06d9QWelm3LjfMWPGDLZuNbrgOmOyWP3xHs6+qWsBzt17A/mS8uMGEV6VwaaIIcytM+IkNpWNRw+lsiIfIoxm5l7lpqy0Cmj7mH0YkjrTESg8yofT4qXUAlYNdRFJIQm4XTmhLZPceXnU79hJxLSpTTflVxuceHtmMpaw1k/8g0++Gq2rcvKfrAJ+Oyb0Oxg2Mpak66ZS8ux2tNuHdvsoeX4HSddPI2yU0WLB59Nkby9lx7I8sneU0rRxxq5VB1nwg7EtHqs7q9brY11lIAA0jfZHuGqJx6f5WXoOpUHDqns0vHGwjNs7kYj785JKil1GGcIsikvSup9X6vLBif5g0ifFFfzTM4zYTra+er+wnDoz184gm5UzkzrXuuQnI1J5Ob+UOp+mxO3hudySTu2XvlRRWMuq9/aRubk4ZPqY2cmceMVEImJ650KlPcJGxEiNbTjMnn001HqIDOoOFuiMYDyw2a3EJke0mlfJ5fHx45c3hAycc+Oi0fzh7MkopSgvcLLhs2z2rCs06kJATVkDS1/bw/pPs5h9+kimHDcEu8NKuN3KI5fNZkxSFI98uxeAUvOiN0BsuI3RydGMTYpiTHIUY5Kj+XBzPsXVxgUxh83C/RfP7PT5Slt+uHAURdX1/Hex8XO3LqscT62FW2c0/3y25FTw5NLAz+K1C0cxf3Tz75ZXaz4ICpr+IDW+1dePi7Rz/yWzuOLp1WgNmcVOrnpzI6uGBV7fpggJtLtXPe5/3JA6m9/smcgxtkGkqdBjaGO+pGOCWv8dOyiG4wdFs8wcLODe/QexK4WOtaNKnKBDu7m5faFB4zrPEFRQyyStFRHH3IElMgHtc9OQXUXYyP4fabPHg0la6yvbmf+AUioXeBFYDPT/XhDdlp6Zzz3V4RDTgNIwO2Y483M+Yc+0yf5lZrnKubm4FF/MdxQMG8YLFSOxH8jE7rVw8pokPj+umMow4yD2p5V/4tWzX+WB9Q/w6f5Pm71erb2W/Mh81qxZw49PPIdv0otwEkaRL4oUi1HJ2LFjR5vBpHKni3++9CmjzYO8U9v54xUns2BsElf8bw0bssup0eF85BzNuREZ+LweXC4Xr7zyCjfeeCNxccYP8878Kn743Fr/Afhm60eMtxgnTRrF2Ouf5tmRR3d7HyulOPb7N6FPvZAIi40/RXSv2WmjX585iXXZ5f7msL9/bxvTh8UxNrnrzbQBXlqdzV8/3IEn6ErNjYtG89uzJmGzWnjgklnEhNt5abXRJSa9oJqLn1jFyzcc3aEWW73mhDuNUee+/CM0mK2p8jfC/06Go240WjCFt7Lvi/dA+kew62NjnZYoq5FjJmUSrHrMyP/kbYD3b4H8zXDGP4xR5rpBa01ZvhNXnYfEYdE4wrt/qHdWNLBjRT47l+f5RzYJZrEoRs1IYvKxgxkxJaFZX/6uaEy0DQqs0F5V2uutp6JiHcUlS8jK+gS7vZjRY6CkeASZmXOBlv+nvV4vGRkZZGRkoJRixIgRTJo0icmTJ/tzr3k8Hqqrq6msrKSyspKyssfx6eaBJK3B40ll1KhTiY+bR1zcLDyeGpy1+6h17sNZvoXavG+pjbTiC6pQFhS+yjELf8ySxeaw3DGF6IixFBSZOYSKIeeJHCYucHPsReOIiHZQWPQpO3b8HK1DT6Z07Xz2L/serqpAUNhZdwKZ6+yMHLWZ1NR9jSkdKC1bRunaFcyc+Tt27XTg9rjQFg/b9q3l2MJJxKd27rtYV1dHVVkgEW2N502Ko3Zxe4SdT3IsJPh82FU29SyksrYSzMZIw2wZDFv+MHrhJ516vUOd1JmOTPe++i0vxhrH5bFuC2dEpuF1BnImNe3mBkbrpNaCSZ6SOhqCut9GHtX6SX9Rg5uVQSOhzY6JZFO18doPZxeyaFC0vyVMRVEtVSV1KItCnToCvswGr0a7fBQ/sx37uWM5UGy0RKopbz21V4PTQ+6uckZO6/6IcOsqnf6UAeFaM6aLwaRPSyr9XWOCvXKwlFs7kYj7pfzA8e6c5HgSOzh0eltOT4plkM1KucdLnU/zYVFFp1oWAbwc1FrqorRB/tYSHZUSZue6ock8lmN0C3osp4hrhyYR3cUuhT2psY6zb1MxmZuKKM0LbcXriLBx/GUTmDA/tVutxBptOlDO/V/uYW9RDQ0eLy6PjwaPL6R+y+IlWC2KUyalcOWCkRw3LqlTo9R6fZqfv7GZpXsCAbFL5w33B5IABqVFcep1UzjqnFFs/Dyb9NUF/lQBzkoXK97KYNuSXM796SzizKDVL0+fyOikKH77zjZc3sAVp6p6D1tyKvx1/6Z+fcZExqd2rXtlS7TW/GdvOt/FlzJrUhyb043j1aYiHy+nuzn1FO1/nw2e0O5tIxMjufOMlgdWWlVRQ5EZzLUp+F5SfJvlOGZsIjcdP4YnlxoXvTbtKMbiSMCXEsHZyXHYlPIHpxJdFYzZ95F/3XvLTsDl1ay1TOI866qQ7TYGk+JdO3hz93LOGXMOkfZIfjtmMMs2GDkqt1TX+RsvKJszpFUSgNsTem5R5hmJjS3+516sqAjj/SmLHWt0984VekofJSUJpbV+UylVCLzXH68vet7IYSmA0XdUKyiKGc5pFbnEqcAP9XivceCwKM2QzDe4OSqBj4cdRXFOLREuKyesTeDjRQX4lKaotogLPriAKlega1RqZCrDYoaxodC4MJsRl8GwzGGcdZaXuSMHsSG7nCxvQkgw6ZRTTmnxh6Te7eXGF9Yxqj7fP0T16InTOWGiUQF78uq5fP/RleRV1FHsi2a5ZxyLLLvRWlNdXc3bb7/NDTfcwKp9pdz04nqqG4wD2RiVz88cH/ivyqmjbsDWA4GkYCoqke7/NAY4bBYevXw2Z//fcqrqPdS6vNz2ykbuuWA6bq/G5fHh8gZ+PN1ejcfrw2a1YLcqwmwW7Fbj5jAfv7Mxl1fXHAh5jXt+MD1kxDiLRfG3708lNsLmv0qRXVprBJRunN9+MvDeNPeHMOFM+PIPRssiMBJ/r30Kdn4AZ/wTpl1oTM/faASP0j+Gkj2tb3PYUTD9EiPfVGOOpPGnw1vXBvLirH0SCrfDxS90Oo+Sq96orGdvLyF7e2kg4KMgcUiUkf/HbFI9KC2qQ5UcrTW5u8vZsTSPzC0l/ithwQalRTJ54RAmLkgjMrZvuylqrXHW7qWsdDmlZcuoqFiLz2ec0NiDfmOTkg8wKCGP3Nyp5OZMBRyEh4cTERGB0+n0d3dr3GZ2djbZ2dl88cUXJCYm0tDQQE1N4OQrOSWTSZMCzZ5ragZRVjaUiPDpxMbOIjw8gUkTQ5NSx8RMMR68ehnsqUADdakj2DZnBDXOdPO1XyQ5+fsUF9vw+bxETS1j/IxZbP0mx3+Fc/fqArK3lTL3ggrKXHeGBJIclukc+O5cKg6M9k+zWBSjj41gXeZKvN5IMvYsxOVaxPTpu6isXGsu5SP7wL858aS7+eqr7QDURxSw+L0N/ODHx3XqMwnOl1RvdVFn/i7UWHx8HRXJJdU12C0HwAs1KvD/lGjLZuZZN/ZIxf9wI3Wmw8/4YYmQZdSJSi2a2shUvM5AMMjVUjDpiy9I/vnPWvyOONcX+h/bUiJxtJFA/6PiCn8jxqFhdt6cNZYz1u8h0xxB7Lad2Xxz1CTKtpTw1TM7Q9ZNtimOjrJiVQrcPmrf2cOeGi81TXLfxSVHMPX4oeSml3Fghzly74bCHgkmBXdxm9ysk3/HPZlT1OL0/XUdz1O0v7bB3+oAup54u6kwi4ULUgfxjDlC3GsHSzsVTNpWXcvW6kBLtysGd61ct45I4fn8Emq9PsrcXl7KL+WWEf2TO0lrTfGBavZtLGbfpqJWB+wYNmkQJ18zmZiE7rdyr3d7efCrPfxveSYdSQXp9Wm+3FnIlzsLGZ4QweXzR3Dx3OEkx7TcU8Dn02QU1bBmfylf7Chg5d5AAPDs6YP55wXTW/y+xyVHctLVk5l39mg2fpHNrpUH/SkBKovrePe+DZx3xywShxoX0C6YM4yRiZE89HUG2/MqKa9tu2vo/NEJXH/s6DaX6azbt6zinfJIIBqGaxwltVhKjHIszfXy0NcZ/hHj/u+bDDKCurfdd9FMIh02cNVC3gYj32i4cV3l/cIK/2scPyimQ8HcX542kWV7itl10DiW2HdUEJscyX0Th/NuYbk/mHTVwY9w+MyuusTzcrXRWnuNb3KLwaQw114eXfNXAPaU7+GPC/7InNgozkyK5fMS43zWByhdj1IeHL7gVvCaem/o97TUM4Iwyzr/cy92tDG4MVprrHHt90DpC/0STALQWi9VSh3bX68velZ8TBQ2PHjMf6mK8FjcjhiSLYGDfRyhVw4SdBnXRH/BplFjWXEghYRqB7P2xLFxYgVASCBpftp8/n38vylwFnDZJ5cBUBZeRmlYKWvXruXHJ8zjRy+uJ8ubwFG2HJSC8vJy8vPzGTo0tMtWY/T/YG420/35TRRXnh0YrS0pOoxnrp3HhY99h9PlJaMhhoSYsUx2G01Fc3JyeGv5Nv7wea4/0m+zaF5Pex1rmXmQjk6DU/7cvR3bR4YnRHLfxTO5+SUjUJdeUM0PHvuuR7adEhPGU9fMY9bw+GbzlFLcecYkYsLt3PuZcUJdUFXPJU+u5sXr53c76V+3xKTChU/D7Kvhk18aOZTAGIb9nRtg9eNQfdDoptaaxHFGAGn6RZDYQr/z0cfDTUvgjavgoHn1IXslPHVCh/IoVRTWkr29lKxtJeTvrcDnaaG2o6E0z0lpnpOdK42+8/ZwI7l0wpAoFEY/f59Po70+8vOM1jVfZm6nOKeGisLmI7JZrIqxs5OZdsJQBo+L75cAQEnpEjIy7qa2dn+HlrdavYwcuZUJE4oZP+73pKSchVIKr9dLdnY26enppKenU1UVOmpbY3L+RlFRZYwfv9r/vKZmEDt2nMupp5zFvHnzWLJkSeuFyFwKe4xcagqIPP7vzBgzh7Xrvo/HU4XPV8vUqctYvvw4vF47O3ft4NgfLWTCUfNY8spuig8YFR9t30tRzX1Y7W7zvcVRu/8W0lePgaBQ89ihUYxLtfBe5jd4vUZXjsjISC74wc3ExsZSUvIN6bv/iMtVjNZuHGFvEBe9iMoao/n2jpw1nFg4h0GpHR8paf/+wOdRElYUXByWRUYYwSSVja+hhrqYwMmaJbyczzxzOL/Dr3RkkTrT4WVWwyrACDBXWDQVUYPx1BjHGm9VFb7K5kn+XdnZNOzJIHxi6BDd2qtxbggEk6KOSmvzmBzcJeS8lHhibFaemDqSszdk4NZGwuU7dh3g/MXNu8IVezRrnV7mmwElu1IcE2Vlba2Xch+MnpXE1OOHMmzCIJRFET0ozB9MytxcwolX+EIScT+cVciayhp+NTqNObEdO84sDxo1rav5ktZVOtlQFfhti7RaqA1qtfF8Xkm7wSStNXdnBnLUTYgMZ34XRpVrzeWDE/zBpA1Vtexx1jMhqmMBklcPBkalmhsbyeToruWjS3LYuG5oEv89YATe3i0s75Vgktaa2kpj5LTaahd11S7qqtzGaGrm87J8Z5ut3xKHRjHthGFMXTQE1YkWQa3ZkF3GnW9vJbO4ldyF7cgpq+Pfn+/mwa/2cPrUNK48egRHj04kvaCKNZllrNlfyrqs8pA0EI1OmJDMg5fOajZ0fVMxCeGccPlE5p01ig1fZLNtsRGErq1y8d79Gzn7tpkMHmvUo+eOTOClG4yL2+VOF5klNewrdrKvuIbMYieZxTUcKKtlTFI0D1wys1Otqtpz1/YVvFMe1DLconDNSsKxvhRLhfH+H/4mA6cu4ZzJk3liaaCr/CVHpZI0qILNhdmMfvdW4gp34k2ehPXm5bgsNj4prvAv+4PUjo006bBZGL9wCDvf243ygXL5GLO3lkEnWf3fYZvPw7X57/vXedF9qj90Pff4s2HVsyHbzIgcyVDPdzQenT7N/JTfzP8Ndoud34wezBclVf7ev8pnBrGCWiZZtRenL3Q02zLPCOIJ/Z+vx00kYSjqUbae64LYHd0OJimlJmmt20gI0jqttT8Nene2I/qfUooYVU+5Ng4WToumOno4kboBn3k8isGIMvuwYFGYw77D7Ih9jBuXx9f5o9msbIFBkU2XTryU387/LTaLjcSIROamzg1pnTR4y2B+fvIpjE+JJqOohkIdTZoyXutvL37BhLnHcvKkFGYOi8diUfzjk118tr2Ak+yBq1ITJ07wd1trNCktlv+7fDY3vrgerWFN9SBGxsQR6TYqeW99sQKXdwQA4XYLH87bRsqm9YENfO/fzbpDeUpKqHjnXSLnzSVy7tyu7/BecMbUNK47dhTPrczqsW3OGh7Pk1fPJTW27QrQj08YS2y4nT+8vw2tjWTml5s5lGaP6OdhiMecALeshO/+D5b9BzxmK5a89S0vnzodJp8Dk86B1Kn+IWJbFT8Crv8CProDtr5hTGsnj1LxgWq+eXEXpbk1zeb5KSMfkTsoEWUjd72X3PTyVnMeAVRlN79qG50QxrTjhzJ54ZA+b4XUyOUqIyPjbgoKP2hxvtdro6IijfKyIUTHzOfEE4aTuf8/uFxG0/GGhoNs3/ETBuUfw4TxfyY6egJjxoxhzJgxnHXWWeTn57Nr1y7S09P9I5w1stkamDptGVarsU+1jiIl+S+ceOvxzY4fzfi8Rku3RsMXwJTvE6EUU6b8h61bbzLK78tj+vTNbN48D1B8+eWXXHvttVz0m7lsXZzLxm9XM3TRw1jtRgXD53GQs+x2nAWj/JseHG5hVmoE5VVFfJGbgdNM4GixWLjkkkv8ZU1OPhWU8r92VdVGTj7tON4z27947DV8+ta3XHn7uW2/tyAb07f6H5dEhO6/1eFh1ClFuMrDW7aLqshx/lacKxNGEV3Z9US6hwqpMwmASRPGY13rw6ssoCAnbggep3EC1djFbc3UmWwdN5kz1y5n+EHjokX1l182CybV7y7DV22ekFoVkXNaP9nPrXexNijf0PnmydeMmEj+NHYwf95rBEe+KavCam+gsV119KAwUEbgqlrDFp9mlkVjUQqHRXFstI2IRUNJ/N7okBP5UdOTsNkteNw+XHUeDuwqY/QM44RpSVkV9+w3LnBsqKrly3kTGBnR9pX2MreHbTWBi5TTu9jF7YmgVkkL4qK4blgSN+8ItKr8tLiy3UTcHxRV8ElxIOj34+HJPXphZVpMJNOiI9huvt/XD5bx53FD2l2v1uvjncJAMOnKLrZKanRpWoI/mLStpq5TQa32uBu8pK86yIqVuex1uRhZ5MHagRZAjVJGxjB2TgpjZiV3ukt2a+pcXu7/cjfPrNwflPMIo6vYWZNIiw3HYbMQZjNa469bvQq7BU456URWZ5byyppsvk0v8rdkcns1n2w9yCdbD+KwWkK6mrXk6NEJPHHVXBydCBRExYdx/KUTSB4ezeKX0tEaGmo9fPjwJs66eTppk2J4etvTvL/3fbw+L5MTJzMlcQpTUqdwwuTJpEROQimF1rrHLw4+nL6cJ4oi/Od1Fm8FPhUB1jBcsxNxrC3G4jS+x//7tpynVywDnxGeUPZSPqn8E59+4GZ+XT3PFBr/h9bidFzb32bpsLMpNxNnh1tUh/OCLSmr4s2aGqwT47DvMr7DWzLLeHnNAS6fP4JIq4XTipYy2GXUYRq0jVe9p2Axk4BfMGcobIwz8qoCDcpOTngqkyoz/MGkanc1Gwo3sGDwAiZHR3B+SjzvmYF8i9e4aBmcL8mOm2pvaOOHMs9w0vBhw40H41hUr9xE6jCqfFaKc6pJbqMVal/piZZJ25VSbwD3aK23d3ZlpdQs4LfAhcDA6PwnOm1nTR2lsYOwmCcDTqWpihkOeGk8gsSYLZNqI4cRfeXz8OFPjS49QIy1nh8M30VEZCQ5vkGUBo0YUVJXglUFnl8z5Rp/MCkvMo+ysjK2bNnMz06dwG2vbiTLm0CaxTjJjqkv4JFvM3jk270kRjmYOjSOZXuKicTFcEuFf5vz5s1r8X2dMjmV3581mX98atThN9fGs9BuHDzGWEtZ7xlGTEQYr54/iAkf3R9YcdI5MPm8kG35amvJvvoaXPv3g1IM/sc/iL/gB53Yy73vd2dNpraylL17d5NlGYHdZjO7rikcNqvxA2q1YLUovD6Ny+vD5fHh9jbejGlWpThnxmB+dcZEwu0d619/xdEjiA638Ys3NuPxaaobPFzz7Fpe+9GC/m2hBGALg+PvhGkXwWe/howvg2YqGHGMGUA6GwaN6vz27RHwgyeNBN9f/CE0j1J4nLFd0/4txXz5zA48ruYVkrBIGyOmJDByehIjpiYQHmmnvLCWwv2VFO6vomB/FWV5NSEVpHYpGDk1kWnHD2XEtMQevVrVGVprCgs/Yk/G33G7y0LmRUdPoaFhLBvW11NVlYzWVoYOHcpFF15DWFgYqalnsj/rUXJynkdr4xhVXr6KtevOYejQqxgz+g7s9jiUUgwdOpShQ4dy6qmnUlxcTFFREVFRUcTERJF94FeU+7tYWJg9678kJnawG9iW141R/Rqd8Q9/oDE56RRGjbyFrGwj0WNMbDpDhkSTnz+Z7Oxsdu/ebeRwOi6CmvD/0uAyWyj5rOR9d4s/kDTErhgTr8nz5fJBXT6VYaGtyk4cv4BRo0aFTEtOOoWUlO9RVGTkpiuveIYxw24mM9eotO0t2kJh3rGkDm07qazWmue3PI+rshZlHvNLw0KDSQ0WC+vCwzi+rh5s23DpWf55b8bP47nxPTPazgAndSbBs5GzUBHpYAb7c6MS8TiNE4zS7Bz++cNb+GrB8QCsnjabp//xGxRQ/eUXJP/k9pBtBXdxi5iSiDWq9X+L4NG9Rkc4mBHUYuVHw5JZXl7DV6VGOb6eHsGIIjcj6+Dqu49plgevbkcJpa+mg1ejgPoVeZTk15Bw2SSs5sUGe5iVkdOT2LfRPJ6sL/QHk94sCFzMqPR4+dGOLD6aM54wS+B1fC4vvmoX1oRwlFKsLK/xX91PcdgY2tD8Ykl7susa+CwkCJTCmclxfFVSxduFRpl8wINZhfxzwrAWt1HscvP7jEBXxKlR4VyS1vMXvi4bnMAfM4xA4usFpdwyIrndkeY+Ka6gyuzyFGW18P2U+G6VYUJUONOjI/xBvPcKy/nNmNbzkXZETXk925bksmN5PiU+L0+fHkdNRDhDSzxcubSKsNZihAoGj41j7OwUxsxO7pGubMHW7i/j129vIas08NuplJHv8xenTWxxJLE9YcbvXYTDykmTUjhpUgr5FXW8vi6HN9YdoLAq0LKkpUCSUjA5LZajxySwcGwSJ09KabdFUmsmLxxCWISdL57Zjs+j8bh8fPzfLWya9gmrowL11qLcIpbmLvU/TwxPNIJLiVOYmzqXowcfjUV1v9XLi3uXc2+ezRjYBrB6q3hhahLJjnAe3beNxd5wauYmE7amGNXgM2oOrkBoInzw2yiLUWe7uDr04mnFsnv54NRAY91TEmOJ6UA+r1Kz5SWAd3gUsWVu6swW+P/4ZCfHjElkbmwkP1r1ln+dj33HUGmN57HLZ3PmNPN/P2E0HNwMQJUtGo2XipqMkNdafGAxCwYvAODO0YP5sLgCrwZLCy2TwqmnxhvaMsmjw7G6Eoikjip/MMkFGiq9NlL7qT7eVE8Ek/4O/BK4TCm1BXgFWAps0Y219iBKqTBgNnAScAVGO18n8LceKIvoJ0PC7OgwK5hNjp0WTWXccHyWQJeRxpZJOmYIDJ0LNy3B+dU/cax+iFpPChud55NTuIjbcvfz4fj/sdlMM/rNgW/4OPNjzh1rXB0/cfiJjIwdSXZVNijYG7uXtWvXcvvt83n7x8fw8cb96K0HUEC0cpGsnBTraEqdLpaZie3GW4tp/A7Gx8czdmzrQ1/eeNxoMoqqeXN9LlneBI62HcCqNOHKw/ToOu6/4VjGffiDQIuVqGQ49+FmLVIK77vPCCQBaM3BP/wBtI/4Cy/sxp7vQXkbcax7mnv3v42iAZ06C3XGP2DUoj4rwnkzhxDlsPLjlzfg9mqq6z1c/cz/s3fe4XGU59r/zWzvq967bEnuvRswYKrpvZMAoSQcAiEhCZCQHiCVEEpICBCKaaYYDLiDe5erZPXeV1ptrzPfH7Pe1VqyQ84hOd9JuK9rL1uzs7OzU9553vu5n/vZwWtfm0dl9v8HvrOpJXDtG3D0I4VQyp0OFef9w/5GY0IQYN6dkDUJ3rwp4aP04f1Qcgqy1syB9R1sfqs+qVNOWp6JoknpFE1KI7vUOirgT80xkZpjomqBktEMBSL0t7npbXbhHgwgigKCSkAUlVdrm3JflY8rRaNTUzw5DWv6PyaR9/vbcQxuwuutx2QaR072xahU//2sYSDQRe3RHygdy0bAap1GVeXPaWoK8tGqFfHl6enpXHfddeh0SpZbrTYzrvy75OZcSX39T3AMfgaALEfp6HiRnq63KNGfRn6kBNHnAE8/ePvI8PSTIYow5SoaI36GhjbHv6Os9Fufn0gKeWHdiEfcpMshP5nALi29l2FXNUNDSh1+adle3J403K5MVq9ejc/nwOt9hFA4MYFxHLwFX88kCrRgNjlpVXfzrjiAPEZqtyKSS+lRE1FPCJU5WVU2ftzDDA5uIhJxE416mDhjH83tRchCBFmM8O4bH3L7vTec8OdFpSiP736cdXvWsRAluAuKIRaFHHygSw4zPjUaOMUfIGJzQixeFzReKsvL/vdJ438NvoyZvgRZZhthqwYhRib1a1T4hpTyqzskI50xIgmgKb+QrvRM8gb6CNY3EGxqRleq+JlE3SECtYlSXNPsRKfZ4X4fRzZ3k1+RQsEEhQwe2cXt4syUJBWCIAj8rrKQM3YdpScURlIJrJhv5sedqjEbKhgmppN551Qcr9USdSjxT7BpmN7f7yX1qgr04xVyZdyszDiZ1Lx/gEgoSlAkidABOOD283B1Cz8I6Qm1ewh1uIn0+UAGXZmN1Ksr2TTCL2lxigWhZ2zfo5PhuY7+uGdUiUHLWelKbPGL8fmsHhjGFZvwv9Q1wPdLsjFrkscwWZb5bl0HgyO6wB32BvjKoRZ+X1VIqubzT60kWebt3iEOefx8JS+d4uOUWZdmpfCzxi78ksxgOMr9R9t5YVLJSdUjr3QlrodLMlMwfQGG2RdnpcTJpHf7hvhOyclLKU+EvlYX1WvbadzThxST7nw6y4jHoFxfnelqViyx8Y0msJo1GKxajBYtBosWo1VLTrkN0z/BJ6Z90MdfNjfz4raWpGRbaYaJxy+fwsyif6xDX67dwH1Lx/Nfp5ezrraPV3a0sam+H1kGUYBJeTbmlqQytySN2cWp2IxfXF6gdHoGy74xlVVPHyASlJAlmHrgXIZLPdRkjW1f4Qg42NS5iU2dm5T9N+VyybhLuLj8YrJNiTFFkmQEgc917t9p3sR3m8PIakU5I0hBnhifwpk5kwB4Lk3p5Prb1St5e2qE9r06hBFWDaq0A6hNypwpUxI4w5vskZU52Epnw1awKI2eLs78+2SuLMt8p66d3phht1YUee6a6fzXc7sY9IYIhCW++fo+5mT3MMsfFwLzvHQOT98wkzMrRzQ20Nvj/xXlKNpQMxEpuWRxY/tGvjvnuwiCQKlRx9XZqbzSPYgQjZFJ0cR5NxLAK6UQFSIMGXpJ8WejklVEg7mY1H5csd4b/tg82yfJ2DL+e+WrXzT+x2SSLMs/EgThaeBB4EaUFrYyEBIEoRUYAtwoHUhSgaLY9wrAMPB7lAxd/xib/xL/R2DXqFFrhfgc1yvAsC0LOEYmSRhRBoLQkA3HKzU4zV6eHHBjCn6XnKGZHHPC7gtN4putk1k+sZePRSVQ+MWOXzA7ezbZpmxEQeSGqhv46Q6lfXuLpYWe9h4aGxuZNW4cs4pTecF1kJaWFgDmp/r4cMhCNPbgEpCp0g7EJ+QzZ85EFE/MwAuCwE8vnkyLw8fO5kFapRRKVYoy4pKiMOW1z8bZaQAueAJMyeyy59NPcb62PHnDskz3gw8hSxIpV1zBoDfE2rYIB/qjbPYe4dtnj50F+UIRDsDhFbDrz4qpHYkKQ6G7Gl44HyrOh6U/hvTyf+6+xHBGVRZ/vHYGd72yl4gkM+QLc/2fd7D8a/Mpz/yfdZj7QiAIUHme8vpnoGQxfOUjeGYRREPg7kJe/zM2DX+VgxsTRIJWr+Lsr02icMI/JmHX6tXkjU8hb/zYD17fekXqP/P04s+9zWjUx9DQDhyDnzE4uGmUj1Fj46/Iy7uG/Pwb0OuyT7CV0ZBlic7OV2lofJxoNJGVEkUDZWXfoiD/RurrG3n33Xfj79lsNm644QaMxtHklclUytSpzzPgWE997Q/xh5QSi4jkpd73IR2+KOOavaQ7Qkkm9/2hGlomJsjMjIyzKSq6/XP/DrY8AZ5Y226VDs784ahVBEHFpIm/Y+fOCwmGehEEiaqqz9i393yGhvppbvk2dntCgdDePh+fxoI2u4ZaeRifEBq1TYDiwiJK22yURNIhIuFa3UrKpeOS1tHpMikv+y61R5UyPKdzPTMmf409h5SAq3u4kfqaJsZVlY7afiAS4Lubvsu6tnVMCkxKLDfp8avCHB9mfGo08JBjCLeYOJ5ddh1XT8z9b2dj/y/hy5jpSwAssJuJWDRo+hQSZkAl8efJS3hrbz2ScXTZQvXUmeStU/zW3KtXo7tDGX+8e3o5xoyobDp05XZAmTR99MwhHJ0eqte1cd2P5jFgEJNMmS8ao4V2mlbNkxMKuWJfA7IgMGhR8c54LZef4Hdo8y1k3T2doRX1+A8oSkTJG2bgr4ewnFaA9cwiiialKSXXwSjhYJS2w4PsyVLF29aPxEvDLir293J2T7I0Jdg4TO8T++ifqoeYLdHiFDP0nGDHToDhcCTJT+hrBYmubRa1il9XFnLb4RZAaQ9++5FWXpmanGx8s2cwqbztGNY4XCzddZRnJxYz63N4JzX5gtxb28aOWNnhmz2DvD9jHOXGhNomVaPmwbLcuDrpkwEXr3YPct0JzLgbfAG2jyhjvDb3HyNBToSLM+38pFEpgWz2h6h2+5lu/fwJotbDDvZ81EJ3Q/Jx67OqqC5NJocaUlV8PN7KcxNL0MSeCbIs0zUcYFiWiPjCGHWq/3HL+laHl1UHe1h1sJuDncn7JQpw2+JS7l06/nOr68eCWiVy9sRszp6YTZfTT/dwgPFZZiz6f56oVJZljuh38cnkF1lQfTWGiBkBkVObrmJeykJmnlNEzWANNY4ajgweocc7+ibq8nbx511/5d3P1jBHvZjx0hRUgyacPT60BjWTTs1j2hkF6E5Agn3cuom765xI2oLYTkn8qNjAZYWTR607VW1iqh3UX5nCTX/ZiSzJSEYVV59zIfeX34ZFa0G37WloHR03XdfxNtuqHsKkEjkz7e8nnB+vP8SH/QkS+IGSDBZl23nssinc+pJiXXGo08VX+16Itw/eJVewd+Zs9MeXUY5ofmKPuCmO1nG8cUSXt4u6oToqUpVOdPcVZ/PJgAuvNLrMzSiHcQLvTvod/eZ2igYncs7R2wiHcjGqE+N2IBbrRYUI6n/2HPFz4gsx4JZluQ+4RxCE7wJXAsuAhcD4MVbvATYBHwJvyLIcGGOdL/F/DGvrjyB3+ThGRfhEiYAh8UDUCl4ESaA/Uow3lM6nRzdxNBilfHjsCXlT8FR+3PIQPcX5VIsR3GE3P9jyA55d+iyCIHBh+YX8ofoPDAeHiYpRmi3N7Nixg3HjlEnSpEmT4mRSkTjInoeuY1P9gNJy09mJvlO5GUVRZPr06X/392nVIs9cP5Ornt1Gw0B6nEyKNG1BblqemHhOv34UyRAZHKTrwYfif+vGlRN1DhPp7yckqnj7qTfY3KBls1sTbzN6aEsz1e1D/OWm2aSY/gneNEOtsPsvsPdv4B88+bpHP4T6T2DWLXDqA2D6YrqVjIlIEBrWcVbrBj6eLHDfwQIOSCUMeEJc+9x23rh9PsXp/3ODS3cgjCsQIceq/18r2zopMipg0X3w6S+Vv3c8S/dAGaAEteZUHcu+PjXeqeNfDUkK4/HUMDS0DcfgJpzOPcjy2GQGQCQyTGvrM7S1/Zn09HPRas6lr89AT08PRqOR4uJiioqKsFgshMMu3O6DuFwH6R9Yi8u1L2lbqSmLqKz8KQZDAW1tbbzxxhtIsUmJ0WjkhhtuOKl/kSAIZOinkLrPS7vRS0uBgWjMm8BvVHFgohW7M8y4Jg9WTxSvQcXhisRxNooZTKh89PNnZV1dit/WMcy/S/HJGgNabTqTJv+BvXuvRZYj6HR+Kis3E4lojyOSJtDSXA7EsvLH7YrFZGH6zOlMnz6dlJQU3Js7Gf5A8WPx7urBNC8HbW7ytZObeyU9ve/hdCod3uzZ76I/vIxATCzz/rsr+eb4b6AaUYIsyRLf3PBNtnQpne0yAgmFXpXUwnP6EZOEmBder1pNnVbDYCRxDJpTzVxh+N/x4PrfwJcx05f49ZpVaFqVEFwyqKidk8rBlETpkBiNkt/XQ1uO4qGxt6yC82Nkkmv1J6TfcbtiWjyixM04KyvuV9Tf5sbRGfOpjMg0VfezoSxxj1Wa9FSaxs5qzzEYWFQTYNME5f11YogfN3TxUFlOnHgZCVGvJvWaSrxlPThXNkFEAhncG9oJNg+TesV4KsfbGT46iF0lEHm3nlcnayFN+f3LOsM0mkVqbMrY8rOJeipcXop9yQpLyR3ih1tCpI7X8UqRhjk2Ez/HwC60XNPUzXdKssfcv5H4W5cjbrSdolaNKk27INNOUaOW1oDyPFs36GZVv5PzMuyAQvh8s7b9hNvvDIa5eF893y/N5Y6CjDH3JyrL/Km9n0ebuwmMaBE2GI5yVXUjK2eMI1efOFdfzUtnncPFhpjx+MMNnSywmykxjlbovNqViOcmmPRMt3wxPkJ5ei3zbKY4UfVO79DnIpNkSWb7e43s/aRt1HuWVD0fn2lDFmKNJAQ41hTw4wEX99a28fvKAj6rH+AXq2qo600uc9KoBIxaNUatCqNWhUmnJtOiJ8+uJy/FQJ7dSF6KgVy7ngyzDkEQaOr38NGhHj480M2RbtfxuwRAeaaZxy+f8oX7debaDeTa/7lKkh5vDz/d/lOlhE0D/RP7WFZzF+aQHQDdnnxcfhtl5sWME0/hIlEgRBBnyMlQaJB+fz9uR5A0by6WUIKIVKg25dwHPGF2f9jCwQ0dTFtayJQl+Wj1CTphY8dmbj/SRkQ/Mb7sG7kqvlY25aT7fkpZOjdcUcVf9ncSzTawL6gm3ZAOkgR7Xoiv12/PJ8OpJFYv7N/Aj0vv5JTCcgx/h1xc1dvFbzpCELNN0fgP8fKWpxnoOouLyi7i2jkFvLqznQyGWCYmOrU9V3IFcoqOTUNKh8e4r5Q7QcKpkEnzVY8ikwDWt6+Pk0l5ei2vT7Dy+M5W9nC8AbeIw9hFv1kZX1pTD9OScogSfwEm4+H4eoHY/SLo/vES338WvtBubrIs+4EXYy8EQcgAMgEbyrXY92U27d8TZWmZICXUCC4BJDExuTThZYPrTmr8S5GJIqAi77htRFR+1FFloO0Lj8MfzeS5rh6uy7BSp9OyrXsbbxx9g6sqr8KgNnDl+Ct57uBzADRaG6lrqMPhcJCWlkZVVRUffvghsizjdrsZ7u9mbkkW7+zr5EhnmLJIOuWqAaqqqjCbP9+EPNWkZeXdi2gZ8PDhq9343UNcLK9CIHZD2wvh7F8kfUaWZbp/8AOiMSNfQasl99e/5sBgmL89vYKNaRW4tabYSJ0cOO1tc3L5M1t58atzyE/5YgICnO3wyfehZuWo7wPw9WsYajAR9qnInOrCmB6rupAiStv6/cvhlPth7u2Kj9AXASmqdDA7+CYceQ8CymOrHHhfC61yJquic/nAM49r/wSv37GAgtTPfzwkSaZpwMPeVid724bY1+akrs+NLINBo2J8lpnxWRYqshOvY4HH/yoW3Yu0/w1EZxMCEktsT/OW41Eyiuycd9eUf4rU+0SIRNwMD+/DObyHYeduhl37kaSx2/Ieg9FYhsVcRf/AeiRJqWeS5Qj9/SuBlQw7M+ntrSIc1tHV7eDgIQc2mxOdzjnm9lQqK1bLrXi9U1mzZh8DA2vo6uoiEonJlbVarr/+etLT08f8fBxBN7xyOSpHE8UOyOkJ0Dw+i87USJyUcdo17JqRQrZ+Ji5vDVGVsv+qiMSUfXWoe+9SSlmNnyPru/6nEI7VcxnTFZLwJLDbZjKu/HvU1f9E+TslOWvY21tGS/PoLn8iIuPLxjFz3izKysqS1Jbm+Tl4d3QT6feDDM73G8m4fcpxJS4ilRU/ZcfOZchyiFCoj9njq9l0VAkI3cEhlj/3Add+7cL4hPW9hvfiRJJaUpMSTATfhZEdBGL7oJEESoKZ1BmUie+nBgOWSFHiu70OPtrxIuLURUzOGJ25/HfFlzHTfy7MWgNyJEw010ikygYjzHZz+3t58K9PMmBL4Ye3K+PFvtKKeG+S4JEaQu3tyGErkYHYOCyAaWaiBKP2kxpGonlrC+9aEsbcF5/ER6e7YZhTDvlpyVDTnqFMdp5q76MtEOQPVUVjTtoEQcA8NwdtoZXBV2uUsQYItbjoeXw3pQBGZcoxIEvsSE2Q0hd2hskMSFw/34RHI+BTC3xvgZV37JmIRg2OPb0YagZBklHLcO/RIMUh+KqxmVpBiRl/19pLWJZ5uOzEBtVhSY53RwO4MS8dk2p0Zv+hshxuG2HGfV9tO5laDU+09rLakUxAZGjV/GxcPh2BED9r6iIqK4qmHzd2sc3pGVX2dtQb4N7aNva6kv3sjqEzGOaq/Y28N2Nc/HOiIPDbykKW7KxlKBLFF5X4ek0r708fh3pEMiwkSbzekyCTrs1N+0LjmEuyUuJk0rt9Q/ywPBfVSbYfCkRY+9cjNO9P9s7LLrUy9YxCuor07DqY6Nr1zIRi3uod5JNYC/W3G/rYvbaFnq6xG42EozLD/jDD/pHVwaMVY6AkhFOMmiT/ouNRlmHi0hn53LKo5H+kRvrfwrsN7/KLHb/AF0lcW36Lk9SrXBg+yWG4T7kn246cKIFsJw07nzddHPRF2PFeE1s/riEypZeUGSqqpVRWDEQIjyCSrkiDhyqnfq5tXjMumz85Y4bYbj/dwRA5HVtgKDa/FEQs171N37OLyYyE0MoRbup+j6mzf3rS7dZ6/Nx+pAMEhaQVosNYBv+EJ+rirbq3eKvuLfKNpaRavsJ1/nVoBWVe16nJYFXBEgBebj3IrkNfp8PdQbYulfcGm+N5PBno8yfmwDMyZ7C3by+glLrdOfVOAIZ8vRzefSaiWwWok5RJgqTBYUx0hwTYVfgh0w9fRRq74ssCKHNrrfkfMT/95+ILJZOORywI+jIQ+g9AkT0VxChIygDsFmUkEmSSTfZS61eE0gLJg7Rg8FFkENil2YXdMQNNRCF3jvqXMF/9N17qi3BjZip1Oi2/3vNr5ufOp9BayDWV1/DC4RcIS2H8aj9d+lYavv0dXF4PgiCSU5BPl0lRsXz6+yd5XpxBi9oKqOmhhCYplaXjTs6UHw+9RkVljo32KVOwbPkp6XEeWoCLnwZ9ssxyeMUKPGvXxf+uv/27fH1lF439XsgZPSFMIUROqp4jg0rmrLHfy6VPbeWFr8xhQu7/wDNIkpRStnU/gtBxD2a1AansfNqe3YG/J0aMiSKta7VYCgJkTnOjNcXknMFhWPOwsq2KcyG1FFLLIK0UbIWg+pxDiixD1z44+BYcejtRAjQGioQ+7lSv5E71SloCWXz61ELOuvJOMsfNHrNT2nBQZsPRPva3O9nb5qS6bQhXYGw3R384yv6OYfZ3JAcgKUYNk/Pt3Ld0PNMK7KM+13JwgIbdfaQXmCmZmvFPqVvu7w6zp/dWztF9H4BMTSOnjdvEuLt/iOafLG2ViTAwsB6H4zOcw3vweGqJ11KcAGq1hZSUBaSlnoLNNp+DB7tYv34Xw8MmsrMbyM2rRa9PyO9t9j5s9s/ndzHQX0RDw2zC4X5g7aj3VSoV11xzDbm5f6fTTSQIy69LKkvVnfIwlYu/Rb6njobGX+JwJEwpewJ7GDlcTTzqweSPQs370L4TLvojjDtz7O/yDSrrVL+aWLbk+6PGiLGQn38TzuG99PV9mLQ8LW0Jpyx+Ep8vSNvyagZb+/EKAUSzmkXfWIbZMjYxLqhE7BeUMfC84vccanHhPziAcUoGkYEBvFu2EGxsItjUiC3TgnNRzHMjYy8Vu8MctUwDoKFrH+8+ncGy2+biijr51e5fxb9jPgvixtuCIFNr8ECsxj+Dycxz51NnUEy+PzUaWBxJGNvWOVVsXZvPrn27efvb/zlk0vH4Mmb6z8Gk4lTCU0NI2cmJkXO2buTuN17EGAwwbDIjyBKyIDJks9MxYTIFRxQTf/fqNQiWhPmsrtyOOmZGLAVD1O/qAVWiXG6/J8pRb0LUdvFJWmh3Hh1ClOGyrR7eOjuFjpjI/IP+YbqDDbw4uZR07djPem2OicxvTMf5bgO+fWOP72uy1UixZ3dOSGZBaRr6Agu/s4vc2q3EAvUqiR+o/cz4cx1BX4Qcu5bxRhU2X5Q3CjX8vkxDyJ9MDPyxrY8cnYZb88f2MHy/b4juoEI8aASBr+aNnXg4J91OmqYDR8wTyRmJsmxv/aj1FtvN/HVyCeaYJ9Fsm4k7DrfQGfuOkWVv0yxGnmrv41fNPYRGmPJkaNU8Oj6frmA4XspW7wty/YEm3pxaFvc7ytZp+FVlAbccagFgr8vH71p7ub8kUTa+esCFI6zEOjpR4LLP2Sb982JZhp0H6zuIyNAXirDNqSg1xoLL4WfVUwfj6jiA1FwTS66vJLvUhiTL3Lm7Lv7ePJuJZRk2lqZZuWJHHfv2dKPq9P2jVYwnRCgijUkkjc8yc97kHM6bnMP4rP/9rlj/HUiyxO/2/o6/Hvpr0vK5OXP5wbwfUGgtxDc5xMo/VDPQfpIOwGNAZQCPdYAG1WH6je0MGropGprElO7T0MWS/6qgDu+hIp606OnMMMAIkfGpVvj95M9HJIGimCzUa2mLKQNXD7i4ac+I31W+FH1GJevHX855R5TY6sau9+iP3gaMHTv0BcNcuvcQ4WM7JgWZF11FpxBgZEq0w9eEmP57rutOXJcv5F9MJGYe7pDTOOpsR5QDiL5mBDmhDGpVqXCNUOffM+Mebvr4JgCOOJRSwmxTNjua/kqaOoo31q1upDJJlnQ4rJ1J+z5o7GaXvY9L5GA82RkQwsiyjDHl/x/C859KJn2J/xysrelDFlRxltZ/HJlkiYKX5GyWjEz5GamcffkSZFmm5ekWPL5eNO5jZNKpzDW/gikS4i89/dySnUEd8NCWh/jr2X8lw5jBeSXn8V7jewC0GI9g2erhWLiU5xqma84cAGpMFlrDyQ+KbsnGLW81ce+wmlsXlaD+B+qvZ6f5sFMd/9s79SuYjjOqDrW30/uzn8f/Xn/6Nfy6w0K23IoGO+HY7aeLhpnfdZAz23czra8e9xWXs+PM6/ndWiV46XMHuerZbTx7w0wWlP8d1cVY6KuF9++Gjp3Jy1NLYfatyFOvpeMb98eJJNFqpeDZZ+j4+jdwtw/i6dSTNk0mfZIXIdZFCmcr7HgmeXuiGuxFkFaW6GgW9ivG5PF/A4pKw9sPwyeQiqsNyOVLwdeP0LadkQqqYrGX4sgKeHUFEXsJnrJlHLIvYZs3l8PdbvY1+xkOAZ/uGnvbnxNDvjCf1fWzu2WQ1782n8n5ibKpxr19fPzcIZDh6A7Y8lYDaXlmSqelUzo9g7Q88/8oGxgJRzn8WRfb328iEqyi1nYalYaNAFQF/4Lgvx20x+v6/ueQpAhDzu3IvADsY/+BsTOnxyAIWqzWSTECaTFW6zQEQcWRI0d46613GRo6RrRq6eycQGdnJenpbeTl12C1Dpx02+GwFo8nDbc7DedQLsPDWSdcV6/Xc/HFF1NSUvJ3fmAUVtwGzQmyiHl3xZVCZvN4pk19HsfgZhrqf47HezTp48XZN5DRthscikElnh545TKYfSvkzYLBJhhsYlZrNQZ/D3x2XNCWUQkzbjr5PsYgCAJVlb/A4zmKz9cAgNU6ncmT/oBKpcfgCpPSLJKCclwesTzNnsONPDjvwRNuUz8+BX1lKoFaJSs5vKoZVUqY1isuI+p0xtczqGQ8pQKRXBlEyJlxiLaD5fj1ZmQRjrZuJPxrDbvmvoUrpGSQDVE9C1smUy8qoX+e0MXaESUYp6tPY47HxEuZCpl0UKdlujqIIaJFlmUGVTISInkZ/zeD+S/xJf5R/KwlkkwkhSUW7RzggZefjS+yeT1UuIeptSqkQPWkaXEyybVmPdpxFfF1TbMSpELt718moCpO+r5DBQnbgWkWI8UGHXIoxPCqVejKyjBMTkzEOuuUsdsSkHlCm8IfUiPxEqs9Lh/n76nj5SmljDtBe3hRpyL1qgq0JRacK+oAFagE/BqR3uEQb2cnki+Xl2eRHlMTLQPuUEd5pl3hU1cMDRPOEpnWDF3OED9aaCcjInPInjyJSolKDMXit4frO8nSarjgOOWVLMs8257gaS/JspOlG9vvRSMK3JCbzu9ae8d8XzmGBl6fVpZUxjbbZmLN7Ar+q6aNtTEF07GytxKDjnpfMplxeVYKPx6XF1cgDYYj/KZF+c69Lh+3HGrhpSklaGMKz/Mz7FydncrymProt609nJ5qYUbMn+mV7oTx9rIMOyn/gBH450GaVs1pqdb4b1vROzQmmdTdOMxHzxzA704ohoonp7H0qxPRGpR9ert3KG7oDfCD8lz84Sh/+qyJhk9bUIeTS3gK8yw8delUKrIt+EJRfKGI8m8wijcUwR+K4gqE6RkO0On00znkV/51+nEfl0yszLZw/uQczp2cTXnm/+1nji/s4/ubv8+6tkTS2qaz8e1Z3+bCsgvjsWgdET48N5WuAzJFIYFLM1PIUKmQZZCisuJTFHsZLRrS8i2k55sxpygq/cHAICsbV/Je43tUW9ZwKPszpnafzuTuU2jJMvPeXBN+3fFzKJk5qf9Y1z9BEDgn3cafOpR7dVtHEzfVjkiqzfoKAO8U38KS2rcwSCEywk5Wrf0OE679aNT2vNEoV1XXMnjM6FqWmCWt4+2zfkEgEmBN6xpWNq5kZ89OkCXu8DeQEWsWFRBUvJKzbMTOqQjrKtEFqikNJ19T+0bYumRJeRx9Lkzu+Dy6/Ao5tLF9I1dXXs3gcDVZgCeWmx2pTIpKRhzG5LgTYGfBJ1zUbo4zNgFCBGSwZ/z/08z1X04mCYJwDnAKCse2G/jwSw+A//uYUZSi+GfHxv8QEBUTD045OrosSUCgft0ga1u2MWVRLgvPvogtqz5EPiIhIOKV0mgPTqZIvx+7FOXPPX3cmp3Jvr59vFX3FldVXsWNE2+Mk0m9tgBHCgUmtinkQ15HJ7tnSciiiE4lkRV10yNZKR7upsWmDHDBiMQvP6rl/eouHr1sShJpcDykUJSht+rwH3agkiEkP4pK6CcouOkcPIPJRwdRpehR2XUIokzXdx5A8vmQgeVTz6fbLvOO+mGmik0MyFbWWC9FP/92Ts004LjtCSJ9ihmw/c03uXHcOLIuPZUH3zmIJIM7GOGmv+7k11dO48Kpf0d9cQyREGz+LWz6lWLkfAyGFDj75zDlahBFnK+/gXdrosOD9lt3si11kBm/e5yeW+5ADocZ2CvgDUyl6OYKhOoXlbK3UQcoAoONyuskkIBOckhHh4HYNSKooPwMmHwFQ0eC9D76W0SjkdRL7iVlsg5VxwZo3560HbWzGfueP7CIP5AnZWGU5tIfnccwRRxvIiMIUJFlYXphCtML7cwoTCHbpqehz0N9t5OGnkGaepy09A3h8vjQCBEkWaQ7lMpXXtjFO3cppXWdR4dY/fzhURWCjk4Pjk4Puz5swZqup2RaBqXTMsgutX1uTyZJkjm6vYedHzQiO7vIU7fiVaew1XMz5ZZ9qCPDCCEPfPwAXPXyCbcTjQYYHt6L07mTcNiJTpeFTpeNTp+NXpeDTpeNSqU8+GRZwuncTW/fh/T1rSIcPrF/llptw26bic0+C7ttJhbLZFSqBGHQ3t7O6tWraW8fTRJaLBYKCwspLDyfgoIC9PouOrtepL9/DaKoxWKZiFY7Hp83g54ePS0tHoaGnKO2k5KSQlpaGunp6fFXdnY2ev3faQ8sy7DqfqWM8hgmXwln/WyUui0tdRGpc1bS3f02jU2/IRTqJzPzPEqrHoZKAXY8DWt/BNHYtbvrz8orhhPqjs766edX7gFqtYlpU5+jru4nqNVWxo9/GJVKmYQNr0mUYNTpm9ljOsCOowcpsZVwbdW1J9ymbVkpgfohiMpEnUF6Hvl1EpEEIEQF7K+qGLgvAiJEc2RmNnzKZvl8AALGELUD7/Nx+6r4Z27uP4fhETm+EqmNI9pEkHSqOJG8YIS0sB2HxoksCLSl1FDRPweJAMdGk8vnT/jcx+c/BV/GTP+emMYuOqQ5IOpQe5tR7TagGxKIqPSoo8rpVaWlMV+nojb2mT3Z+VwQ+390SI8cVmYkolGNYaJSnBI4epS6Le2QUxz/Lhk4XJi4Hy/OtCPLMh333odn3ToQRQqefQbz4sUE/Uq3z2MYX5HK33LNfL++g5diXcJaAyEu2FvP85NKWJByYpsA/853cH/4V0S9FcP0cWju/hnrXjpES0piHLzsOM+iB0tz2TPsY5dLUbF+NMNEzmCU9nQ1vWaRkfROalDikUMBxrklvnqKhW5RRga+UdNKhlbNPHti37Y5vRwYQV7cXpDJyXBNTuoJySSDKPDsxOIx/ZBSNWpemlzCM+39SWVvI4mkbK2GxyryOSs9Od78dnE2g+EoL8RK8TYOubm7po2nJhTFy8l+Oi6PrU4PbYEQURm+XtPK2lkVDEaibBxMnLdrc74Y4+3jcUmmPU4mfdDv5Bfj89GNKKmu3d7NhpdrkUZ05Zq+tJB5l5TFYyF/VOKXTd3x98+1mtl/sI87NjbS504m3CSTmkiFjbp0HdVChEkqEZtBxGb4/BNpVyBM55CfPneQwlQjJV+A7+Y/guHgMO83vs+7De/S6+tlasZUTs0/ldMKTiPTePLr8GTo8/Vx9/q7OeI4El82LmUcfzz9j+SYlTnOPpePX7f0xM8ZRToOAZ+q/Px1UgmLUz8fmZaqT+WmiTdx08SbiEgR+n39tHm6ebLZy5rAcduQ5VhcJfB4Sw97XF7+UFVE2gnUjMfjrHRrnEwqrn0zMd+w5kH5UhyhCB/51LyduZTrexSiaVbLbnZ172R2zpz4dqKyzF2HW6jxJYjJNPcK/nLm3YiCiFFj5KLyi7io/CJ6ew8QevtWCpyJ+PUDi51BjT1p3+aW3U5N7TcpDSWqGSKIVI/wh0ztL2Sww0th6iS6TMlkUjjQwkBUwBFW7oWRyqRo1MLgcWVuAG69gz2GlGPN0nERojEYpUStJxqWUGn+Z0b0XwT+pWSSIAiPAD8AGoEgSnvcPkEQbpFl+ZN/5b58iS8W6WYdZn0Qbzh2QwkQGeGZFI4kFDUyMiFAh4CIQEljgPc6a/mBPkpJegXnpwkYHMrNv37wYm7KOYAoyKRIUpxQemb/M1xYfiHjU8YzP2c+27oVs7SVc2Jk0vnnMZSeicMnkhozjSsRB5ncXc+9215jc+4Unp5yMUOxkpMj3S4u+uNmvrqwhPvOGo/xuEFP8kcYeOEwoVZlQI6SSpTUOKmQUw/t9fs4oG6lSxyiWLRQ3thDVIAdiyZxTc7HVImJQSpdcHGN+wX4dAXMuQ3zs7+l9Y57iXQpD9jen/+cC/5cSsYNs/jGa3sJhCXCUZn/em0fdT0uLptZQFGq8cRERfsuRY3Un+ybwKTL4JxH463sw52d9D36aPxt39yJXBv8HZGNUYqtxfzuu3cT+slvAPAfaaJjdQn5j+xEqP8YHA3gaFQUGcMdjOXBdDwCaFnOhbRQgJYQl6U3UTH3TJhwMZjSca54h55HlI4NUb+f/j8vp18UMZ96KqmX3sG+7v0YGj5gppgsOS8Re/m6+D5fV79Ps5TFRvVCXGlTmZAiUW70k6dxow0OgqcPdg3Axj4IDDMtGmKafFz51ghewiUbOBIqZtvT49HOXsKWj7VIkSxARGdUY7TpGOr2Jn3cNRBg/9p29q9tx2DRUDQ5nZIp6RRMSB2zPE32DdGzeSN9WzdiDRzmck0DpsyEjV/IVoW66Bw48LqyoGYl1K6KG71Ho0FcrmqGhrYz5NzO8HD1Sc2wATSaFHS6bMLhIYLBsYXkYlQmfTBE6lAYm6ESU8mFCLnLIH18EgEzNDTE2rVrOXz4cNLnBUFg1qxZLFiwALvdfpxaK5fU1FnIsgTICMLo4zI8PExHh2KymJ6eTmpqKhpN7MErSdC2FWr/BA06WHTvycvHNv4Sdj8f/1MuP5OBs37EwNBRJFmiIrUCtZi45wVBRW7ulWRnX0Iw2Iten6fsvwDM/zqULkFafg3iUMuJvxOQZAMROYeA5ixMWadw/K/0hX1sbN9IviWfKRmjS24NhkKmTn0uaVmw1UUwphxQC+3MEO/n0/YQz9pt/GrnLymyFrEwb+GobQFo0g2YF+bh+awDydOHb2visWtavBjjjOloS8vQlZXSHH6Bzu7XABAXuyj9oI4mq+IPHbJIGCIG/Go/EwI6vuJ/iseFr3OsI6clfDUFoVdp0/UgRcwU+YxEcTPXM4lVKZsBaE05TEX/HFS2HdwiBFktjmfx+H9Sh8T/o/gyZvr3xVcmzGXj9peQRTP64dV4gz/AodLhM2ZhdStkcWv5BRiOhCHWI2RvYSliXj5SZwfqggXxbRmmZiCoReRwmM7vPUhf2vXx99I8jRwsGM+QZYRHUaYd90cfKUQSgCTR9d3vUfruO3R3C/HW6HqThrRcM4Io8Oj4fIoMunhHL2ckylX7G/ltZQGXZ48mLkIdnTieew7CQaSwF++mHkp+EKamPKFKKhfVo0zANaLAk+X5nL69Fq9WIKIWePl0Kz5tcqxzilrHw9udpAwrseITWz3cusDEsAhBSeamg828P2Mc4wzKM/qp/gQxdEqKmYnmk5emFxl0LEm1xBVZI/FwWS5FhhN7FoqCwF2FmaPK3kAheX5YlostphqSZZmBdg+eoQCZxVZ+Ni6PoXCE9/qcALzX58SmVvHo+HzFl0qt4smqQi7e14CE0lnthw1dZOnU8QisxKBlgf3EJN/xkMJQs7ULk11HQVXqSZXV56TbMIgCfknGFZHY4HBzToZtTKNtUSVw2nWVVC1IVqf8uaOfTl8QsS+AptvPZ44uNkjJ8WOaScstp5XxguinLaQcv28fbceiFrnoc7SAHwmrXoM1R0PVPyaS+R9BlmX29u3lzbo3WdOyhtCIlvGfdXzGZx2f8ZPtP2Fi2kROKziNJQVLGJ8y/nOr2msHa/nGum/Q60tc14vzFvPYKY9h1prZ6/Ly6+Ze1g2ObTLuiUpce6CJ31UWcNkY9+/JoBbVhFSp/LDDTXUgQWSIksy5e7xkOaO8vcDMsEkZc9YPulm6+yjPTChizue4LufazNjVKobDYa7u/iDxxowbQaXmw54BIjL8Oe+yOJk0MRTiR5/+kFlXrYofw0caOvnEkbh/De7V/GbKKWSZjlO6H/2YrPfuAl9C2Rc2pXP2DR+SVRehN5RInndK6czNmUtJ94r4si5dBvtGqLIKPUV4TW1ktpRBzDpqR88O3EE3/f4hXnboY87BMppogkxyocevTSjaxznzqbcrMfAGu4vZMWGlnzCNQZnG1X505YMUT/lvVKx8wfhXK5PuAB6QZflxAEEQrCjB0XuCIJwqy/KOf/H+fIkvEJNzPGx3Jx6wUVUwrg8JRBI17GFVkOaJqRQe9GKUlTVOD2gxyGE293tZHRa5CGU7XmEiKzuncEFeMqF0rSjwas2r3DL5Fm6aeFOcTNo7TqQrVeJAMMwb7gKMhFmsUkzRSlUONHlhnCl2FncdYFp/Pc9Pu4SP8xTvIkmGP29u5uPDPTx0fhVnT8xGEASi7hADfzlEuCeZNDiGAGEOqls5rOogEjNtc+Cm95zFXCCv4BbV6hMftKALNv0arfopSu+8jLqnPNCtDH49P/oRp698n1dvm8ctL+xiyKc8UJ/c0MiTGxqx6FRMK0xhap6NOZlRpuj7sPtaoGNXzKdlxMPZmgfn/wYqzokvkmWZ7ocfRvIp5UwRk5575xzlWEKpxdXCjdoXePKKs9G/qcxbPGvX0V9WTua930z+HeEADLUQ7qnj0DufofJ0IqEiKmuJxF5+tOw3GnHHjEZDaHltoJKzQhOYb0zDvWoV3Q89xChIEp4NG/Bs2EB2YSEHZ17JAyEbp+oPcJ5qx5jEUom0AvpXjOk+4kPHVmbRSzo23KQzGHsNYcWdVIxpFfzME2qYF66Bre9xpRVCZj0D0VKsk+djnnUeTuNsmg46aarup7c5+cHtd4ep3dpN7dZuVBqRgqpUSieZKTXuQ9e2mnDzTjTuJnKAHEgiso5BO1wDB2qQBZGwWsZnUOHfdh8+8QDDnoMMu/YhSSc2lRwL4fAQ4fDovhMCKuxDErk9w6Q7QqjjPFs1NFfD+h8rHlkV5+ItXsqWliA7du4kGk2WpFdUVLB06dITm2FLUah+BWHfywo5dcYPwJycobPZbMld2ZJ8tlaAe0QGp3ULXL8CdGaiUpQeXw/t7nba3e1kHHyX0w4mApLDBhO3ROrwrjg7vsyus3NG4RmcVXQWs3NmoxGVB7woajAYEt4+cejMBLz9HK+3jMhpeMIXE5IricjZSNgBAUIQXH6U9FsnI4gCESnCOw3v8FT1Uwz4lSz00qKl3D/rfnLNJ1ceukaokkTdU9hj5/7bg07O8/h49JNvkH3pW5TZy8b8vPX0Anx7e/Hvfh9iNf+aggIK/vgkwgg1UXnkAQYGNxAM9iATofz8fjrXFxDUGFCjYcbADLZnbuFHjha6yEUSYmbbsorsaCm/b36A3+e8wm6NimjMN2OOZ3KcTGq31RAVIlSa1nGWfIgHZRh+5Qj263990t//H4YvY6Z/U8zJnobBfTuIigJQZWilLzIOryUHq7sVtymPOsNszI0gTokiqVS4TWba584n/5ONqNPHxbd1zHjb8Zfn6emOEs5UiHVRhJn5PSwvTJjhztDpyQr6aRxRgg8QdTjo+u736Dj72/FlOeNsNLc0o9VqycvL4+uFmRTqtdxd00pAkgnLMt+oaeORhi5en1rKxBGdw/oeeww5OOK5JMu4P1zJ4dKEcmBGT/Jz4xjaPmnnosNuXj3VAoIwikgq6QlxSUOI0q9OpvvFPehdIiVeiV/v8nHXHCMhAYYjUa7cVc/t23wMOPysPd8e//zfUyUdww25aaPIpAV2MzefwGvpeBwre/tlUzdt/hB3FGZwWqpybhxdHhp291G/q5fh/oSJek6ZjdumZ+CwmtjsUWLOl7ocpGnUPFCagyzLTDAbuDkvnedjCqaXux3oRpAQ1+Z8fuNtdxf07IWjPkX/ljvOzqIrxpFROLZixaRWcXa6jXdjZNeKviHOsJpZ8/zhJKNtvVnDuXdMJrfcHl8WlWQ+qu3lN+tq0PX4EWKt20ZeBVq1yK2LSrjztDIseg3n+4NctLeBnlAYGYVQWppmw/gP2FL8K+EMOHm/8X3eqn+L5uHmv7v+YcdhDjsO88fqP5JjyuHU/FOZljmNqrQqiixFqMTRibaN7Rv5zmffwR9JKO2uq7qO+2fdzwF3kF/VNLJ+DBJ0isXABRl2ftPSgz92/369po2uYJhvFGZ+7mvm3d4hvn20HXc0kYg1iAJ+YNc4PTdu83HbJy7en2OiLl+JKbqCYS6pbuB7JTncVZh50q6LGlHgjDQrAzWrKQ7E4jxBhOk3KN8fu/ZqzWXUpk+nckDp+Du3vZq1bWtZWrSUP3f081xH4nrU+vZydcowZ5eclfiikC/hATsSFeehufBJNKY0Zvc280F/QoV0xBvgVHMpLlGNhJI+22Mup1mriAVyfDmYxTA+SwsaWWDG4EwO2Q4SIsSLh57jjUEN0djMWCa5zK1Xk7gTtGE1S7sLaLL2EhXDDOoSthOSGEZGRkAgo+j/jzLNfzWZZALePPaHLMsu4IeCIASA3wPz/sX78yW+IDgOrWdhy1a2x0XYMoxQJgVCCSZY0Ef4w13z6Ov28N5v9xFyKSTJ/KAGgyywQR/GL8gYZAFB0NAcXMDL3nyuM32ESpBIkSR+2jfMg9veYKY4E1PYRK4mh66woup5/vxsrIFCJtCLhmhccakRJESthk0XXEDpwUOU1tZyz65XOUvo54lJF9MyqAzMHUN+7nh5L1PybXxvQQnFa9qJDiUySybVJxjEz/DY57IqVE5roJeoMNqcuEMUeJWlXMVKcmMtvD9MXcTz+Zex0LmPO7pXYAzHWOiIH9Xhl6k4VcVwkx5PpxakOlxP3MOMZefx0VIfv11diz8YQUQiRxikNNpFWWsXZW1d2IST+NvMvk2ZrB+n3HC+8SberYn2l08vCTFkTn5Au0Iuvlq2gadnlmPbo3i3OJ59Fl15GbYLLkisqNEjZ1Sw7t0Ijd2jMw+SGMKZcpCoejQht3rNalp2H2Dqn59CjLV4V6Wnk3r9dTjfeYdwayLTFW5ro7Ltrzyh1RE5/SwKHlgFxhAceR8OvzPaF2oEZGA/VazmFHyjaAAFasKkM0Q6g2QxwAwOYiK5okQrBsgVj0DtEaj9C3a9nRmVy5hxyUV4UufTfGiYpup+uuqcSLFsm0iYfHE/5a2bKenZgVZUtnkioXZYLTCQm45X9OI3qPDrVfgMYryFPYSh47kTfBpUKiN22ywMxiKCwX6CwZ7Yq4/jjbQFVKRYppPVOUjGoV1oRsjTEdVJJY0h1BwdVHNgWzuN29YhHae1ycnJ4ayzzjqxf5EsQ/0aWPODhGqufQfUfgjnPgaTLx9tqj5QHyOQ3lLUcGOhfQe1T83g+4VlNPt6iMT2+WyPl8f6E9mmBo2Gr2XY8R73Fc6gk7fr3+bt+rex6WycUXgGS4uWMjdnbpxYikgRWl2tNPRWM23lt8kKjb6W1YIDi+ZNBsPfQpKTs6fBpmFc69vYX9nKb3b/hsbh5HLQNa1r2NSxiVsn38rNk25Gpxqd+Q42DRNscMa+q5N0Dia9PzEU4vm2Jt5+ZRkpN64j1TKamBL1agwTogy/nPAVs5+xGCHqY6RzplptoWL8DzlwUOlC4heamD7fyPbd0wCBbH82Vw2kUxlqY/2I3pzZkhkREb2s44Gur3LU7OIYQz3NW4ROkgmKAmF1kG5LA1ehHAdRgI89B7h61B7/R+PLmOnfFC0fPklZwECjUZn0qUwNOL3lODIKyenajiNtEgC6KJR29dJQoNzLu3MKKCmYH9+OOk2LJs9MsL6egT/+kd7SK+PvFU5KJ6NkFjWRxDg9e1im71e/IuqIjYuCwDEpknfLFkKBArAsRkamRz7IzpeUZE1xcTFLly7lgrw85NgkNBz73EA4wmXVjeyePwGzWoV32zbcq0cn0bbs3EP/+BiZJMvk7XISvDCCzpCYivS1uji4oYMyGRYfDrBp0mgF0aKaAIN9EVa9VEPqlCiFB8DgEpnmjPLTaj8PTDMgC9ArR3mmUkWmM7GN8UY9p3/O0p6laTYytWr6YsoEo0rkt5UFJ50IH49UjZrHKgoAcPb52L2qhfrdvQx2jZGclJVOet0NwyxUQcc5KbSYle/6bWsvf+tyMByJxo/7SARHLHu2vZ+tTg8TzYb4q8yoS+q85nUG2fR6HR37krfTVe/kjV/sYsKCHOZeVIbWpGb5rnae+bQRWYYFZWkU5JggJIFW5JP+YV5f2Yeuw0upVkQCjHYtk5cUYHAF6d7eSUO/l6P9bja1O9nsD8S7Eo5EllXHhVNzuXlhCXn2xPkqMuh4fVoZ5+6pwxeVcEUkPh10cW6GPfnQyTJyMIqgVcW7jf6jkGUZnyThiUh4olHcsX+9UQl3JIonKpGj07Ak1RL3sToGv+Tnh1t/yAeNHySpkI7BZsgnP/9W1LoC0kL7ONr1Dp2eZLPlbm83y48uZ/nR5QAY1AYqUyupSq2iKq2KqtQqdnTv4Fe7f4UcSxaLgsj9s7+LJfUcLq9ujnfbG4mpFgP3F2dzZpoVQRBYmGLm+gNNDMZ8qX7W1E13MMxPxuWdtDtfRJL5Xn0Hf+tyJC1fmmZlTayMrs+uZsF9U3C+04Z+ywA7xutZN9WAJApEZfhpUzfbh738oarwpJ5eZ6fbELvfj/8tjTsL0ZZHpz/ENmdCvaOZ/w1YeQsAZ3p93Lr9cUKGGTxcnzi26lAzFYF3eXDpiGYoPQfhrVtgYIRHkdoAC+8Bdw9s+R2c+h3m2ExJZJLOu4232l6AdDv79Bp+1u9guz0fpHaQYdJgZWJ7gkzJcDH5rjyO2I/wwpGXCcoCUXUmEU0RWv+BpDI3x4hOxlavHlPExaSexezPXU9whG3Mp+OnoS00kheAi7RKkPC/jX81mbQVmA+0HLf8NRQp95f4PwpZm0GvkNCQaokiCImHWySaGld8aFOUwSozx8y135/D+09Uxx+s00Jqxqs1NKvDTAgrl6dKO4H67jZeLryGm3SvADAz5OOuLjPvvvkuADnmXLoyFDLpUO4g57U70EmjJ2OSJOEPhThcMZ4j48rJ7+igvL6aF6ryef20C+MPTD1BZnRuJvuNYaIjXFAsqjfRqpezVZjJdpeBkNCd9FQ0yj6yhAGaKQRgGCt/ka/ibLkDg3gmy9Mr2GJXsyVlBk8XXMUvB17i4rY1qPyKV41IlJRSLymlsQeCbzm8sZxs4FHlwH5uOPRFpF37JyhMzDckSaKnp4dQTw+BEeVtu8sFNk1SfkiWMYsbJ9zIH/b9gUA0QESQ+K9Tm3mi24qtS3lgdD/4ENqCAgzTpsW3sX9dO417E91b0gvMaHQqQhE/TcE9ROXEQ84YyiagGkJSKQNk3VAP3WdezJL1qzAbNBQ+/xf048eT9rWv4d26jaHXXsOzYYNS3gQIoSCaj1cysGc72kd/iWnBXTD/LraseoOMgW2Mjx4FTy+YMsCUTr+YzQcdFlqHT16KF0FDD5n0kMkhYJfxDCqdDsqiR8nQNJGi6ky6rgEIOKH6Zah+GbPOxuSKc5l8zkUEblpA//YNCIfeJt29Ab144i4aAcnMkLGK0JQ8nHYnjmAtshyBE5Bex0MU9dhts0hJmUdKyjwslkmI4sha7Cj9/f10NBygu/4zBlyd+FSSIppx2skKD+ECfBSQRy86wojz7oTTHiDqaKZ5x4ccqGujNpBGaIyL0KqVOeO8S5g8ZQoDgQHernubTzs+pbqvmogUQSWqqAwEubO/ixne0Rkz/IOw4lYatzzGrlnXoU8pJt/rpGrrs5h6j4xeH4gArRo1ZTEjxMrhXr7ZMMw9WRkgCMz3+flFvyM+7nSrVNyRnYFrRCtoo9pIWAoTlhJk8XBwmBX1K1hRvwKr1srs7Nl0e7tpdDYSjgR4orefLH+CYBwK34VaOoJFtxEAleAiTftDgtO/gf6cRxh8uwH/ASVDNry2hafqf0ujcWxfsUA0wJPVT/Juw7t8d853ObXg1KT3XWsTqqSQ7sX4b/MKAqbYZEINXNXfRc+Tswhf8Tc0xYvBUQ/9R2GgDvqP4nl+D8eUi6IllzpPEVuemcl5E6/GOf063Fo9npAHT9iMZFmA6FY81TTGQ9hKggw3K2OK6J2DhxpaSKi3ilUbcUersEhKiFPhSYyfVqGJOf4gm2LGvflZT5DlTmRXbbaEguJLAF/GTP+2cKtTMfqLwagQwmpTAyEBjqSPYxLgSEvcC+VdbhoUPoKdJhvXliTKWAVdP0SjdH3/QaIRmf70afH3xs3OpCYnk+F6pZRZkGQqPt6B85O34utkfus+fPuq4yVvWXvfoH16Ad35YQZ6E742LS0tPPPnv9A1ayFrTGmEj3sMOiNR7jjcyt8mFNDzs5/Fl+vGlROsV5IAHxUk1JLFfRHMHonm/f1UzlNiRykqsfGVo/EyuwsHBMpy0niv38lQRJn4amXIH1DG/L5WN24PCPOjTGyyEO7ycnpfhPtrAzxepYwxfXY1ffbEVOdr+emfW4GhEQXutdoJbWhHLUHJuDRyBkLIORoE9edXxhzZ0sXhzzrpax3j2ReDwaJJMqzWRuGyNU5ePN3CgE3Z/4HjTH9PhIGwYpg+UlWlFwXOSrfxcEkOzp39bHu3kXAgoYQYwSmCDIe3dPHRvi622mU6Rvg9vblHKbvRAxaLhmUaPVOHIcU8YjoZihL4pCWehiuJvc5BSz9qVhHmA0I4NAIXTcnlkul5zC1NQ3UCEqjCpOesNGtckbKq38lZWgOhDjehDg+hTg/hDjeSL4LKpsUwNRPjtAw0OabPda59UYk/tffxXMdAvBveyZCpVXNjbjo35qaRqdPQF+7juYHn6IuM7l44JWcpYtrlbPaYaAjKSrEyczmt7EzuTI/QP7SJDe0bONh/ME4QHYM/4mdf3z729e0btV0AnS6fuVU/4rFBI/09raPenya4uV9o4gx3F8I+v9LNNhpmRu40Ppx6KdccbqPFrxBfz3cO0BMM88cJRRhOoPp6ur0viUiyqER+VVnAi52JZYv0URa4diJ/ZR77PrMhvtNIviPMivmJsre1DheX7Wvg7enlowilmpoaGhsbKcwwMtGxJb78aOU15PT5+OkHR5BLlM+k+iUaGsrJ1WZjCPWgBub3dnHnkVbkWHQkRgaw9/+WR5f+DrPWrMwhdjwNax9J9pLNmgRVFyokUjiWnO/YzZyLXkqsI0cwOd+I//mR2cSwKNIgKd+VGcjEGh5dMigiMqgfJCiFkUQzQ9k/QRaN6D1bEJsT5RMOY8JyIjOqRpKdTO+8jprMrYRUASQUP+GGzDzCag37gZucjeQb/ve9Jv/VZNIm4AlBELpkWR7RUocqoO0En/kS/wcQDmrojhoRkJARMQqJm1SUJQQ5canZsxM8qsmu45JvzeCDJ/fHS4SMPpkJIy5NUZOPIWUqzTo/NZRThRKYnMVn1FOCGzMFngIOpRwiqA4iiRJHbUeZMjTag2QkZFGkvbCQ9sJCbH1dpLV9zLLMHiw+LzpZIipbeV7YjISsDPJCAJkwmsgtiLIuiUQy4GcBe5gjVKMlzDZmsEZejCyIRAU1q4RiJkQC/PSAj2tbwvy6KoVDdjNfz/oaP5G6uTfo4PL+Lkz+0aVHnxcO2UJfNA8plE9feByHek6lYJWB8bOa8UoDNDU30dzcTCCgPOLHVVQwY98+PHr407kiCAIlthL+tPRPZJuymZU9i7vX302frw+/TuDBC7089jc1Rm8EORSi/savUHvjPejOXIrFFaV2RUI1UlCVwrK7p+F0DvHSSy8RCiSIpIULF7Jo3qlsfPMQexo2ENEqAY/bJrJq2aUsmjyVd5zvYNhrYHH+YqYsmId50ULCXV0MvfEGzjffimdVI/39tH31FlJv+SqZ99xDUJ9OR/4FjD/9twCEQiE2bdrEli1bkKSEIkej0TB79mzC4TADAwM4HA5crtG15S5fkF2qFOpdt6GOmNmhd+MzNHDfJD8LxMPQsC5hxAwQHIYDy+HAcvQIFBwLDo57NockPU3BObSEpyFXaEmZ1IY/tBVJbuY4IdQoqMMSRn8UQyCKyRslZTiMNWxGnD8ZJt6ErDHgdDrp6Oigs7OTzvZWurt7iMQ9CdRAUdI2h0mhjtL43zbRR241sP7HtNpS8YXDxArxkmDGwxyqmR/ay9HqrVzTZufIUG3SOtmRCP816OQC72j13Aajgbn+AMZYFFvWW0fGR4/wmsXC6W43Jmk0+bdXp+Mjs5H9QQPnbwIKhyhLUwiJU/wBHusb4GWrhSf6BuLKL7/GwM4zvsX9WZNJN6STYcwgw5CBUWPEHXKzsX0jq1tXs7Vza1JW0RVyJXVJuX/QyakjiKQj4iJeSOvHWN9OldHORdZh9LISxhj2PUlz2wf4zvk9NAQw+LWste2gT3Nik/Nj6PB08I313+CU/FN4YPYDFFoLCTQ6CTYpGTIBJ1kkVIWPp6bQqVHzg4FBCiJKMJwd9MLLlypdNke0sPUNaPA0J8qOtRMupjBSQpP/67y3dxvnbD2PNdYwL1itdGvUqJC5K0OkTK/cP5Py6znszsY5UIwfA+/I59BGbnw8HC/XsjzyAAucl5An5SOoREymA+iNbRhUOzjNT5xMMgnJBOu00IknW/+h+DJm+jeFuHM/9nAKpMX+1neC6KNXm0JYbWLYmlB35g0mCPx9OQVEj7gQURooBPavYvCFHgIHD+JIm0xEoyQg1BqR4snp/LUtMUEp6Q0x/rMX4n/rqqpIvflmbJe5aT50iEhvL6IsMbH2T7SXnMFI7WyHPYNN46YybDQnVdCrBIhVK7F20MXz761iQUOMLBcEcn7xS/oefxzXrt1smJlQVE1uVZ6bu/f30jPexFybmbqNnUnm30uureCGihRStGp+GzPDnpdqZsapRg5sUEgNvwNatoPXLlMalbGpBK5qC9OnE3ixNDmhaAxIzHcJjBBSnhS+/f2ctaINORgbP3t66dvUC2oRbb4ZXZEVbZEVbaEFlXnsTF/z/n42/K12zPcyCi2Mm5VF+axMzCk6+lrdNO3ro2FvP65+P8aQzHWfunnxdCtO8+hyJ4tKRCMKcYXJyRCQZN7vc/JJ9xCn7fcxKxiNhyWGdLj4rrl4hgJsfrOemn4PG/Vh2jUSjCF6L0fkcrQsdWvQjdIYnRwZiNyEjhvQoSm0YavIwVCcekI1kSzJRBx+rnEKZDQEqXJFmejy0B0cuxtwdDiE57MOPJ91oM40YpyWgXFaJurU0R4CUVnmzZ5BHm3uoXuEr9XfQ18owq9aevh9ay/zzCHqht5BGkEkpepTmVdyI13a+awbCiG54HhP0Y1DbjYOwZlpp/OdxdeSp/bxafun7OrdRa2jlmZXM9Lxfp6AjEBYNwE5ZRkO7STeHgRIJsCmu45wf+sLnD6444Rnp8T2OCtPeZDrVdPZHzOmXzUwzJXVjbw4pSTeYfAYQpLEcx0J4mOaxcizE4vo8gfZOkIpdM/2+wi5DqFVa5lRdQFZV17NJx+J3LbaxXtzTNTnKffJEW+Aq/Y38ta0cgAikQgrVqzgwIEDABjYiSZWANmlyeCdznKsr+xiy6LE/LGqOUjDQT9m4zkstL4AwA0OJwe3DrGj3EpHWhhb/6/52oTLmZE1Q7FJWPVtxQpkJGbdotR7bkwu/aVtK1M+uAV7wUM4BS16z6eoosmdiLcaDYjSbhCh0plQJdksAwjOEpyCl13Z2xnUK3FfWFeJLCpjdNA4E5mP4+eo35RQU1nEAuwF3QRq1UztOp1dhasIqoJEVSmE1YlxucL8+b3R/pn4V5NJDwI6YL0gCDuBPSjTrPOAW/7F+/IlvkB4PU00RiZhQMIHGIXEwKyTldrOY9BG9MiyHM8Y6E0alszMYH27m77I2MoRbaSAkFzHh8ISSmhHTxA9Ic4WPuFpYRmBcCYpw5PoSdsDQL2tAYtqMXfNXYxGJfLhhx/GfV2mFVpp7nUxPIIDGLbZGeoaJA09oEcmMf9PPMJHy631BJjPHuZSjR5lEuqR9TRE09gl5TBJN4heVo7FEXUHDtHNGa7JvLDDx4e5av4wTkdf5j081vMwv8sys8wjcJU3SlFUi6ZXIZZkWaDHkMqwzowgipRkmDngUHEolE2jnEu7kMd915yHOGhkxyt1SEKYkG6IsLWVA53VVPeM7adTXzGe1MFBVk5ux2kWmJI+hT+e8UfsejsAE9ImsPz85Xxzwzc5MHCAvhSBXywt4IfvtaKWJTShAJP//CjvfLoPdf4FmGTliHlV8KYmQGhbDa3bP8LtTgSHp59+OosXL0YQBE6bIWJ5eRdbZ8zBZ1aInIgmxKdH9uE6pOKz4td47uBz2HQ2FuYu5JT8U1h051cYd9ddDL7yKv2/+Q1yWDm2g395Ht+27aiuuJxwZgZHHEc4WHOQxu2NhDzJkuOoBcKigV1HWlly9jTOP1/pUhUMBnE4HAwMDNDR0cHOnUrJnKwK40zdjy86hc8iapArufYgPHHNV7nwUgvUfaJ0CatfAyNq2EcZkqv1eEvPpc62mJrBHgT1Z6SmvYlGHcY7xikKhfQ4h3IIhVPQ6wqx2crJyJhInvMwGdXfRxUrVwugpQULHes/oWP9fjqFPLzy3+lu9ncwLBkZDgBGLYSTgyy1Vk1qUSr6tABnHXqFfI8SRE1q2cl1A0Z+kJ5GVBAwSRJfcw5zncuN7rhDsV2v49epKdTqtOSGIzwyMMj8GMlplWRuH04m9o5qNawymfjIZKRbrWLJAZnvrZHQhyFUZ6fjAj35RuV+Werzc2YgjBAjqCStmdA1rzEzvRRXyIUr5OLo4FF2hXbhCrlQC2qWFC7hgrIL8IQ8bOzYyOqW1Wzp3JJELF3m8nCTK3Et79SlcWtOK7LQFpsQWnkjpOc3vQMUxQidEkcLvcsv5SepJRzSG3BoEnJpUDpajk8Zz9Gh0e1gQTHq3Na1jdPyT+PKHYvJJx2fGKA65WGu9Cq/zyGKrDSbCIkCl+Zlc6dzmBuH3fGHuyBHCQLtajUWSca/P6EU8qRnYM6eCsBprtnAbJzAkmAbZzsOcMhYz59S2wnVnsfgxHdI1UiIAkyo2Mx+vxWvN5VGoTi+PQ0hcoU+7nKraftsOX4E8hYMYrUmCLhTfIkRdXrwuAu/c/WI9PiX4MuY6d8Wr2hLmLd1J9UF4DaCIMioTU10+6cykFqleITEkOGxoI5EiKjV+PUGDgv1TKOEaO9h/Ls+w79LyeD3Zc6Mf6Z4SjqiVsXKmJoD4NR9ezD5Y4a9okjOj3+EoFajTkkh9/HHaL3pZgRZxuQbZuaePeyYNw9bUTG7K2ewLpA8sTUG/ZzWWsucqgoeGdGt94e2XF5OSSNryIH98ssxTJqI7ZKLWecN4TIr5WVaoLIjTH2OhrfKZCL7m8jTqFm4e5jxKLx05bxs8iuUUuFNQ4lx95QUC4uuzCQSkTiySfFT8Q9A28AwPQIsMquxqAS+Xh+iTy/yUW5i4jWrIUB9WxdlVWknPTdSKMrwyia8u8ZuTkFEItTiItSSeE5psk3YlpWiH+ERBCQZUgOk5JgYPzuT8plZ2LOSlcdZxVayiq3Mu7gMR6eHxr39NO7t42ufDNOZpkYTBX1QYvLkDM6/qhK9ToUsy3zraDuvdg+yJNXCbyoKqPEGOOzxx1+NvmC8uD2oEvhkhomDRTouORRgQl4Ieymk5prwGQR2VOh4L5BcxoQMU0IqLk4xUyFBUWD0GB1BppooEZSYWYUywVQBBlHEoFGRHpLRjMivRRuHGWwcRjRpMM7MxDg5g6g7RLjXS7jXR6TXR7jfBxGZMmBsF8ATI9Lnw7W6FdfqVrSFFozTMjFMzUBl0rBx0MWPG7o44h07e6cSwKJSYVKJWNQqzCoRnSiy2+UlGEtyhWWZTW4NZH0PdbARg3s15xWdQpt6Ni8O+8CbHHumChHyhRAHpMR5X+twsdbh4ux0K/cXn8tl4y8DlOYchxx1bOlvZJ+zj3qvl96wmqCugqhmdGJPJwW5sG8DX+l6l+numr9P8Q23kbHydlakT+Rr03/FupCyT7tcXi7cW89b08rJ1iXunZV9zni5p1YQ+Fuml4xNP+H+QCVYlJLc8d5mvln5fbp16Ux21zNveD8LOh/nnMwA24f+i6s2y6ybYmBblTKXOuD2c9XeBm5yuWmprYknugVkZowo4a8Nl+Pat4bXF81NUhlObFOOb43/DOaYX0MjBjEKbi7tX0dl25l8OGk11mIrd467ElbeA3teJCkuN2fD3Nthx7PgGXGvj7B3EJs/5WVfhEvGPYTRlegGnBqNMhhTuUtiEFESMUYS57WodDcGcQ8vH5lJ5wiSyBat5NioIYt6vDoD5qAflSwxaEwoQc2+TFpCGeSqO5jcfSoHcz4jqAriMSZKdFMiw6TV74UZXz3Zmf6XQJD/hYGbIAhqFG/zGSNeU1FqORzAPqAa2CfL8mv/sh37D4YgCIcnTJgw4fhOTP8oGt9Yh26vltvxcpgo5aoBFmkU8zlrREI3cFp83YNZn3F61lIuuHE2BrOWcI+X3j/sg4iH3kgNR/zjcUmjiZuw2k1YO8Q0uYaltmfiy+9Pz+DtnkeQoyZMpb9H1CoPwhJbKW9d8CZalZbXX3+dmhrFo2Uqh7mINRxiHBtYyBD2f/j36ggwn33MYy96QkRlgU3SFFZEF7JfKqOFbDQTU1lcNIx1y1pSgokBQC2rqIzmUhHNRS0aebFUz5tZdRgcjyOMGOgeesfClFplguzQG7jn4us5bwn0BmvRiTY+2z6fYY+SeTNpVVw5LKPXtuM3dsPxpVgngBCN8EnBOqaUTOU3p/0Go2Z0WVUwGuSRrY/wXs1OfC1fZ25nA9/e8xqmSABJENk37ZsM25THfASZ18xBghovZ2mPYhASGZOK+RVMnDERk8aEvqkbzx3fQnK5iIgati28kK68Edy2LKB3F3EoYy+HsjcRFWMDuyAyNWMqi/MWsyRYjPDI7wk1JkqGQhqRl5eaGMqeTL6vIOl3yJKI2VWOMZCdWCaHMKUeZtkpEzBlZaNOT0OVmsa2jzrZsWUPbtvRuOJCrVazS1XJ/mHl2tSqRC6clos/HMUTiBAOeJjg2cG8wGYWSLswEiSMio3iTHaoZ+HCQr6lgfz8I9hsYziDA+GwFsdAIf39xTidSte4saASZDLlPiKo6CeN0Q4EoyESJYsB8ughl17y6MGEny6yaDFOpDtspSdsxT8GaSpKUTJ6u6mzt7O+ohtJpVxflqjEU719TAsmgqY1RgOv5VXwWFc76d7koNSfWkL7vNsYzJ9BVJaISBFcIRdD/kHy6tex+OCHaEd4NMnAqpRM3q88jQJbEaWqLPKf/pCMrcnkS0AHlfeUYGhLyKLb1Sq+lZlBrU43Sj5+PAQEFuUt4urKq1mUtwhREPGEPHza8SlNw01M8wyzaMNvECSFkK7RargpJwu/OPr8mCWJH/c7WOpLEIteQeDi/Bx61Mo1Lsoi51jO4I4z76bYWswfq//Isweeja+vRqQkFCA3EsESlZngq2LJ4Hfp0vTx8/yn+UvvHtJiSru/Wc3YJYltegPrTQa8okhVMMQjAw4mhBJE4H6dlkeDmTy8PDEp/NnVGlJTZ1EczGOpcx4p0bE74j2a+1dq0nbwzawAhthPjgR17N63jHAoMWaU0cINvANAx+YUfP1axl3UO3JeDMClufkMqmXWt3XGr3A3Im+kPswt/3Uf69evBxTy+b+DiRMncuTIkSOyLP+frpv7Mmb6/wtfVLwEcOjbT6Ba+Qy/u0hg64RYU4rBeaR0XsLXetrwm8cnrf/WHA81JUr5/O2b93Kbdxz+XX8i0rkbgKioZdOiR5FEJfN/7u2T6SjSc+V+5fmoikZ5+zt3YvMpxEzqTTeSdf2Z8MG9kDURLnyCVVffTcmhTfHv3LrsQn554XVJRruCLDOps4nZLTVoo8pYvWvCTPZkJJ63Bd2dvPj7nzD+o1WoU1ORfD6uf+Zl1k9X/JLOCftIPSiwfKoeSZX87CrqC3NBTYhv3a/Eh+5IlMpNB+MmzatnjWeKxYgsyax/qYba7cmET3G5jamhCLhChAX41nQDWzPUWL1RblvtwhiWufkXCzHZx+7GFu714ni1lkhvQpIj6FQYp2cS7vYS6nAnpFhjwLwoD9vZxQgakZ6mYd5+bE/8vWV3T6Vo4smJrLHQ3+bmk+cOJYy6gZxyG+fcPgltSCLU7sbd58WcYURfloLKqlwDkiRzdHsPm1c2stMOa6ca8Y/oOqUCzpP9nBvxURfN4/ktzYQiyaRhcVjk5rCOBXo1xjHUQ4OCzLtyiPcI4Yg9ZwtTjcwtSWVuaRpzS1LJtum5uLqBpn4P53dFuLorQrbn76up/h5Udh3afDOafAvaPDPqVD2Bo0P4qvsIjVC4jYSsFtlUauAXOdCvTxwLnShwS14Gt+ank6JRoxeFMUvkBkIRXuzo4Y+tbUnem0WeKLc0hUgJyWxPV7MxU02nUdl+sb+DO9rf4MrejzFIQTakLeDxym+yT501avunpViIItPkC9IVDP/dHskF/i7O6/8Ma9TLbtskas3ljIsOcrN3L2dFWlGrdaDWw7F//UOK/+SIOCuCigem/oRXbAvIdDsJqtXkZWTw7oxxWFUisqefcw+2Ux1UyJOrBjfx+4MPsdM6iQun//Hv7CEIskSlt5mSvgCG7kKasjXsK0skPHOcA5x3cBuaWHw1wzrIha4XAZAQ+KH+Hl6bejYefeJ4n6lV8Yg+i75WF32tbsb1PcpE3UfKOQoX87rjN0TEIJees4eCI39W7ChGovICMKXDnr8mLy9dAhf9Edb+EA7G7Qr5Xs5UPtAr8zGVLLCqo4MXrVZetSXmdvqInoU9C/GkNKPLOopVJfPBcEKxmBK2oDJ8i5rcBC16/oEtFAz1o5YjvF4aI6tkKHWXYgkbWTKQgnfoYg5nbUalH6A3dR5bxilVNwuH9vJmSg/iku//j2KmLyJe+peSSWPugCCIQCXHBUuyfJx76Zf4p+CLCo5a1n+K6qMoP1aFWUOEyaouZmoUNtYW1KIdSvj2vD/hDwzrB7ig6zZuvPw8tOvaiHT3kKn9LhqxFVkWOBI4hW3eawhGRg+2ILPU9jjjDUqZh0MUuU+aSNXOKmoKYO/8HXEy5bbJt/FfM/6LQ4cO8dZbik+AjiAL2c1WZhI4rn1WSAzRZGnCEDEgyiIiImJURh2MMk1wMlvuQUOYUtowEOSIVsP7miLeHroLnaTiCe2TzBDr6TYWsX7qUn7ZsxpREpndP5t83+iuUIIMFtmATjTRbAtwVP0pbq2bIQTUbadxcdfbHC2MUlMgENIkP9hyjcW0HLoOIahnkrqbKlUfqhOQSKqwEW0oBU3Ijiqqw5l6ADlG0EhGiQfufgCT4cQ2boOeIGf87mOGPMpkONfXwUO7nieSupT2gsTgdTjaya50DWdq69HFOtvJyOxL20eztRlDUGZak8wtn0hYY3GRrFbxh6vNDBhLmTA8Psl/WefPhEAauwo+pj59zyiSrESby9kf9HD6HoXM6M3KZPu8+QQMI86rDAZvPiZvEYI8WioOYPZ0UHn0FaxuJYsYFTUE9GkcnLSEtlKQY3k9URTZLpdzxG8bczsIYdTmg+RaqpkYljEECrBHzWRnN5KbV4PBMNo3KRpV4XAU0N9XzNBQLoKsQhUOI0ajBPX/fYVRKkPk0RN/ZdMflw2DQnBsMhr4i81KrU554NkiUb5ao2KC18ZgWhp+tZ4iOikdbKZ3tQUQ2Fsq8Ny5Ig6rcqIMksQfegeYG0hk+GSVDmFk+Z85G05/EKZdB2N0JwGg5gN462aIjiE3z5tFX+HVtPz4aSwO/+j3gbVXpvB1TT3iiDr4l61mHk1NGW3qfRLkmfO4quIqLim/RFHpDTQg//l0hICiKupTqbg2N4veGDE0s10LgQB1eQJuY+x7ZJkbXG7uHXTGC0XesJj5ZVomS53zucKxlOxoOpmzdqPteRPc3byhDvOzNDtSbF/VsszP+h2c6/HRH/oVW4xRHst7nrN8/fxoQJFMh4CAANbYbREUYLPBwIcmI1sMBq5xu/nmUEINtWFnBtlNyh4dKBb46TWJc2GSDHy9+yqWuBLdlgD2mI7wUOGTAFTqo9yeHogH2S5XOgcPLEWSlGNRLDVys6iYZvr9KlwNerImKyWuEb9IZ286n+U/zHrDHvJt7/OT2O+QZVjeNglVyRlc+YMff0kmnQRfxkz/e/giyaQd5y9FlddK50KJj81qNns0RIMZRBu+xTeG1YiCcp+q9E6iATvV+V2sXKgoAGY1NPBMYypHNj1Mc5qRwkEXBqGcwxMVsZpWr+Irjy/iO42dvNqt3GPzDlbzi6cUn8SAPoWJGz5C+9IpMNQCwOayh1lX7+L09etJH3DE1tNzy/d+QVemkoCZbjHy87JsvIcPsGnTJoIxZaGEwJtzzmRoRAzxFVc/v7hoKQDuSJRJG6sJxjL5Vx/Zx+tV05FPMCyLwPW5aXy7OJt3Dv2WH7iUDkwpahWHF02KG2BLksxrv96AsxlySm3MWVZCfmUqEWeQ/mf3Ex1SFDlHbCI+RwSvL4pLgvKZmZx926T490WGhhB0OvyHhhle2YQcHlESn29GuyyKWzyA39+G39NOpCeC2GfFMFSCwTkOdcietP+abCMpV1WyfmUTjXuVxFFOmY1Lvz2T/y4CnjCrnz5AsNWFXSWQohZI1Yhj2miqMw2EUw3Utrho7vXH/a28OoENcy3sy0kuSlH5I4iHnagciWd2ZbaFh08pp2RnP9IIBdYxDEUk3s9W88x0I2FJpiok8O3CbKYX2smxJRJSB9w+vlXbzkFP4rn9zrQyZgxJeHf14DvYH2/QcEIIoE4z0GNT86YQpMaqYiBdy8Ylk09ohh5x+PFV9+Or7iPSPzpmCAnwfr6GF0u0LChO47ulORTo/74paa+3l3s23MMhRy0hw0wM2nO4paOACzvDqI/7GR3GEGrVLiYF30QnNCSFITKwNnUej4+/mwO6MTrGngyyxCRPA6nhYepMxfToMsZcLU+n4ea8dK7NSSNNO+KcDzbDp4/C/uWATBgVB6jkA80ZyGHlHu22phHKMPBk56PUaDNYNv2p+MfX7r6FSd4Grp78GBtT5/5j+w6IkkymM0xPauJ45w/2ce6hHZx+yiJO63kO4eiHAFSrJnPhvN8SGlHaNamjkYVNh7jogguYMUPpxv2H3Z9y9wcXxtfZ4rqZ8YZPydAc11EvvQLm3wU7/gR9I8ZxlRbO/BHMvUNpgxmNwFtfgZr38QsC5+bn4lArx+YMv4bf9TQiA9fnzOCAPlH6ppJURMVjcXay1fxic5ga20PUqBJjz4KGA0zpbEIgxFslK8f6GCpJQ4Ynn2JfFo1553IkT7GkuLnzHX5x6TcRjCn/fmSSIAhVwFFZHqPY80v8f4cvKjgKtA3R9cPlvJJVzl8IMVfdSpVaKX8xeTMxuhO1pK9N+xnDhj5ESeSirkv4mnsemdqH0Yp1SduUZXjd8SsckdHiVjUBbs66EV2snG6lyYjhHTt5g/DW42fzxqDic6ISVLxy/iuMU6Xz+O+eIHyC/lkhMUS9tZ4GWwMzB6eS7y5Oej+HXm7jNcRYnmClwc5fUvU0xlppTw4aeaqrHTvJnRTeNlv5WJhPjrsS8QQqk7EgITGoG6Tf0E+fvg+H3oF8HJGijWqZ4plOrqMAzXHv+dVaOoMWuqJWXFErJbZUFnR40ElaJho/wavxsNOQUOjkpZdw7c1Xs63NyRu722ka8FKYaqQy20JFloUXtrWwr80ZW1vGkP8SE316ljTdHN9GZu82QrqD1FVUxCebkgz12kMUddUwo0Gmql0e0W4eogL85lKRXeOVY5PmT+PU3tOSOCMxqsUyXIFXG2BzwQo67cnXCcDcWgOz+hfRk2dNGoTVISsW1zjUEdOI7YWwuprxmnIIa0coMWSJ/M6NlDZ/gHoEEeK66GLWWs2Ej5V7CQI7IsXUhBPtgVXaXrLN1RSJw+QGMjBHzGi1XnLzjpKTU4daPZogaffp2OxRc8ivJojMhJYwX1kTJW+EpU5YrcaZYke66Sac6el0d3fT39+f5P8EIGpEgpp+ikMtLIq0UUQPxjHMlxyiyAaTgfVGIzv0ekLHZRrNPpknno1iDoAxM0jR6QllUfcuG85G5TgGdCJbLiln6KyZzMyexcKsmdjevRvqPxn1nSy8B059ALQn6Tlx8C1Y8bV4q3rUOhA1EEqQb7IMQw1G+g9YkcIiXSlaRExke0KgcnHkCh/L0418b9DJjBHlU3+2Wfl9ig0EAYvGglVnxapVXhathQZnAy2ullG7pBW1XJJ/GnfveQ+bR5kQBASBm3MyOazTUTpo5sZVTs795cv0/OxnBI7U0J0Kh2fmcOjUctqFdhZ01fCwQ8lmhQWBwYtfIrrChBRUxg2V0E2W9h7EWDfGDUYD38lIIzBC8XT3gAm3dAYvZqwEJN7p7I6bjh9rTevTmdipUbFdK7JHr6dOq4mTUm90dlMVUygNHDHTf0C55r9/o4qGvNGBuDlqYJ57GpO95QxphlmRuh6XWjkPUwJBfi4M01CeqNPv7yuitnYxIFAdSucNzQ/QCqOzzo5aEx2HbKw75WdUZD6JwXiE02PqrSaflXdap3LJAz+kdMbs/ygy6cuY6f8OvkgyadfrN+DKUIzt6wIiT/UriQNP3fe415GJChGECFkzXqN3zw0MGPp5+sIKALShEJuOunh702+RRQFBlilIv5w+SfHCq5yXzbRrxzNn+xG8MVXRg8//gTN3Kd+3f/KdLLh9EoWbLwFgLxN5H4WwMXq9nP3xarRhhZSvLSrl7vt/xI+rirgpLz3e7cnn8/HZZ5+xY8cOZFnGpTOwfM6ZSCOSBStnjGO2zcTr3YPcU6skavTBAAFdIkmiD0qcv9vLgWJd3E/lGCwqmfRII82C4quySFPLa3PPRaNJJHPWr1+PLMEZZyaPFZHBAB2/3YM6nHxbRWSZoYiMOs9M6dIiAvtW0/fznyBa09HPvhuVJVFCZD4lD+/kvdTWP3DiEymD3lVC9qFb0XlHmDGpBA57IjQEle8/947JlE4be9J/MshRGfemDny7e4kMjJ1IOennZZnhKDgkGcuUDCZdNY4tPj/31bTRfZzZtNjlI7szwHdPLefsoIhnTWsSsSbJMp1hmeagxFBUpjtFxZ/PSpyL5bp0JhXasWcaCKkEftXcw7MdfUlCrvMzbPxlUsIPTPKF8e3rw7url3CfF5VdjybTiCbbiDrLpPw/04CgUeEIRZi85VC8ZO/DGeOYaRs7rnAGnHzW+RnrW9fT2h5hjvcKzu9RkRpKjpVlAUwzsrCclo8m48QNT2RZprpvH/etv4eBkBNDVMflg0u53HEGWnlsldtIqEQHBmsjBvkztIGNcWJJBlanLeCxsjs4bCga9Tm1FKEw0E1+oAeX2kyzIQ+X2ox8vNz3JNCJAhdl2rklP4OplsRv9LRUs/uD59k5oD9hh+OoWuDguGK2Zyrl8POc1by7/x4+SD+FWyf+ZNT6lkgzouN1oppcQvpKxSNINbbiOcXrYsiUeK+s28e3W4e5KHgdQizxed3ER1mXHhMjyDILGw8yubMp/pnTTjuNojnzOGXnUV7a/y2WDB3nhxSDrDYgFC9UFFmtW5PNtzMnwKXPQfYkuru7WRdrRlBWXMC0ut+wfHgPv0lVcjVqWeCtzkHKwory7a60hbSjosXScsICAUvYgFHt4Zz0CM9rn2JQk5g7TOhq5pT6/YQEPyuLV429gRimOqZypOQmuuzKODKj5wUqLefym2Vn/6+TSf8Mz6TDQEAQhMPA/hGvA7IsO/8J3/cl/j+A963b0GqdXKe2Ml3w8jbnJt6Ukgd7r9apLBYlVuW+yXWdf0MbSTC7il+9jCDAdNP7rB2+FwCBKHLMwSiCnrVD93F+qpJpu8Dr4/enGchboeOeGfeyZXstnZ5OonKUh7c8zOvppzGeJg5TkbQvaq2ag8bD1FuPElaFmeGp4nv9N3Hf5Ch6dztVPa0ISCxjXZxIGiCF3f5r8IR3g7aH8zxefjTQHnNaSsZlHhdnsZlVaKihHBAQRXEUGXA8RETSg+mkB9OpooqIEMGhHUCK9BIeZ8fb46N8uByNrElS6/hlNfs1BRycMxGx1oWqyw8CWLvqOGf3r8mf78FiVQbBcPQC9qmUIK1zoJlrf/4q+6XM+LYa+jysrx3dnaIi24BZcxozW4sT+xuto6V0CK+lMjGeSjIT9hzkmsaaMX+jBDx5QYJIAsgvzOfScy9hxyc76epSlG2SKsRw6kH03lyW1d5Bu7WOPfkf49T3k+8az/iBaVhEiZ78EaofWcDkLsHgy0OUIthc9diddaQM1ZEiDGGaVEUkt5CtXVaG1ZOVzwgiHfmn058+jYq65aQPKhMG63vvcub06WyYPIlAKASyzFxVM/OKTAxqugkNNmJz6zH4bVgsYey5jdjtPVis/Yhi8jUhyXDQr2eLx0JLUEMIJ2nuEHesk5h7dPT1o4lEyOgfIPzbX/PJnTNJmzuNMmMZ9rAdwSNwdOgonwx9QqfUGX+QLY9EuNWp5gqPgFqWcZnTqc0cx96UHPbrNAwEhxj0DyIFBkGOoBW1WLQWLFoLl3/mxBxQ7kWHU0edzsjSoEJ0pE334G7XEw2p0AclzlheR2Crj5TvLcRWmgVTroCGNTByTmwvhIXfPDmRtPcleP+/iNey621w3dtgL2Tg9ZtI71AUiIIAqeN8WAsC7OnJpY9TmZNxPptTdvFmxuu0apWA7uvZGTzX3cekkBIs3Drs4vrJt6A5/WFUY6iiZFlmR88OltcuZ0P7hrjppRgJcNaOv2ELJIipBzPS6BEzubduAXPf/gDj5MkYZswg8977aL/tNnIHIXdNNzMqL2PR1//E8kMv0f3ON8mJRtHIMlnv3EBQnkQ/PwNUROUchsLfIFXzGIIAS3x+/tzTx91ZmQzFOqr8Id0LKGqfxb5AEpHEDe9CwVyMWiNzI376Gley5cjfkEaQY++azVQNKoSWrcRH/0ELO8eJNOQJWDUW7qkpQt5zkEGTRL8Nem1eanK2sj57a1IJikqW+YFjEJ0ssDNTZI5VOU4Zma34/DYONM9lv1TEX6PncLtaySqOTLC52gwIGFhk/JiZ7CHsT2x7rZyKqMmiZPqsE18n/774Mmb6D4TWlQUxbqFcJ2EQZPyygMrcQPNwBuURMGY0YMnfS++e68gNpqALBQlqdYS0WnZaBpFjyQBZEOgJhRFjEX357Cyeau+LE0lWj5uFB5Ryq96MGTjSJtGy7TCFwAEqeJ+l8f0K6FNxLL2NnFVK+UplaxM/XfMuNy/9adL+G41GzjnnHGw2G5988gnWoJ/Fdfv5tHJGfJ0bDjSyZ/5E3u5NZEhGEknmoMR9r++gqLuJKc2LqStOYdvpqTTFyG93VMAdI5IAKkIb2bP3BaZNfR69Pje+fKx5tWjXsSMoMRMZ/YikiVoQyNAI0OfD8fxOvGseA0ByDRDY8RTGU7+Pym4h5coKDBWp1O/+zknOImh1mQRszbTOe4SM+itIaVNIOaIyEw0qMtUCDQYNxVPST7qdsRAe8DP0+lFC7SdvTOCJymizjQjOIJrjyDNBELCrwY4AtQ76HnWCRc3EQSeOMgOhIjPEjo+Ua2Qwx8ihml5m1AXQj9hUf1hivz+KVwKdSYNOlskeipDqjjJoUZ6rf9rZxsKX6mjOUvPRHDMOY/KJuTzFxoOZmbgG/Miy8uxFBspT0JbZMelVmO0nVmOnadXMs5vjhs+rBoaTyKQOdwcb2jewvm09+/r2EZGj+C3n4C24nm2CmmfGy1zcEeamZj+ZQWXfBBl8e3rx7ulBmGDGMjeXXs0gLXI7zZ4WWl2ttA4epXm4GZcsoZLVLBs6hesGzscetSTtnyj2IKT2IfhKiPiS34tKaXicaXiYgy7nblJ1T6Lq2YAAnO3YylLHNtamzWePZQIZ4SFK/B2U+jpwq4y8mHcxb2eeSUA19rERgMkWA0tSrVQZNXzk8PBhvzMu+ApKMm/0DPFGzxAzrUYut2ix1h7gyP79RKOju4+NhF/UsSNDiZGNUT8Pd73Dk5O/xy9SzkpazySCYeg1GP5IsesIHsbgWYMMRNW5hPWVoJlESD+RUMxOY8hkxer34DIoyanGHCOO/tcRYob37bpsNqTNTvqeB0+Zx/qVfXg8yjWwceNGvK1dRAoq+UveZWOSSZIsIkb80LB29A+ceyec+QgRQc26Tz5h27ZEY5OGhgY+FipZU5Agr65zDceJJIBmtZs5vaeT7c9mR8YO5ONifjUy39P3sUrUka8VGFIlH++hmAeSTxUjt2Q5rqTPcQsMmGTCsdsoKAbj6wM0Ct1cU/T3icx/Bf4ZZNJHwDRgZuwVP7KCILQzOliq/yfsw5f4FyMoZJKfswaAIlngY/mM+HtiNJFtCgt+LBERlSEDZ7CPX/UNUBFJKCh2MI3NzGaevJ/ZHKRUvx2Ny0dYNiKjwq7qwBlVJKEtobk0RospU7UAcKXByfaymbjqnPx4wY+5ZbUi+a4fque5nkbORoqTSRqNhtlzZvO7oWdp9ytKF1vEzLe6bmRXtJEdubOAdDyVM/hj/5vkHe6N7+OHnI6AjkV985ime5+Lgwn1RgT4SF3FnHAfWYKy3IKXq/iABnUFwTN+RuWc09mzZw+rV68mEjPq9aq8OPQOTBET1pBVIYlGQC2ryQpmA9kwRmOQoBjioJRGTXAc0aAK8aCTaKYBscePNhzmV51/ZPzSHlSaxEC3TPUBzdIdOEXlATVN08bskB29bCEEbCbCEUYrDI72BIAiak0yF/qCmE2NhA0DQEKtYHa7mbNzJxn9A6M+7zEI7CuF1dNFjhYkU/n7+/dzw8YbOLXsVLQaLaZWU1zRFTB1EdYNkTNcwcWHv6n8bn0fHmvDCFkpqCIG0vuyye84QprvQ7LzDZimT8Aw+Qz0k7+JJj8fQRCIRLwUApt372XXm52Y/CnICAQNNg5MuQO7t4aJ+19GF3Jh3bePhZ1tbDjjNKRYZ0K54wCFFgc2ey/2wh6s1j5UqrF9AFQqM3m5V5GffyNLDfncB0ihEC1P/x7/X/6GGEp8ThLgkxkCG6aIPLQ8itUPmihc+Pwevi9VM2AbI/0hHPtHYGrZuUwuOh91x0EYbMRqTGWO1sQctR40hvhLVhuImNLR5M0CUSRQV0fzQ5fGN/nWIpHtmXbmd/gxyzJadZT+ZR70H9gwxp57+rYOBu65F+n22ZT0v53k+QWAsw35sVIESw6kFIG9KPnfzr2w5uHE+sY0hSDJmcKKj35L3h9b8VrTyJ4xTCBFokmjptGioSnXQ4P6M57R7WBQndxuxiuI/M14Fj8I7sMkKISkfvNvQWOEU0dPDARBYF7OPOblzKPH28MbR9/gw6Nv8KPWOuaMIJKetqWS6buS51pPRVr/GBIyqTfeiCAImBYtxDh3Lr4dOwCwvPce8rlTuOLgRwjR5GtCJx7Cql6OK3Idkf5aBg59ypDtFPSVk9AWTaEgewJPhPv5jvQLusVkMverwwnCtCW7ktKyJfG/DWoDV1ZcyeXjL2dz52ZeOvwSO3p2sMps5NuOIdQCaAwSxuwgr5+iBOBPdp6O/s2349s4XCiwb4lAZ0byNaaXJL7nGGI8WgauW87O6l9jdjqZYFc6KhUVHSDqDfNuxyT+ELmES9XrycAfJ5KCYZHAoAZ9hYYp5tcBhZxSzpfA7kyJ8lAeP9r2Ix5Z8Mioc/Rvji9jpv9AGN7+GPFOkCzKXL7KEGWvT43a1EC9ZjblERWm7IOodR509jaK/KVMbutgd7mi1N7qGWZkcUw01ImoLkdv0qArNfPnnR3x965evRJDMIgkqKgvvxyAlq50MjNLeUc4h2MPEDGqxT44hcYrq9jjqmHZZiXbPff9t2l3OUj72m0YZ8xgJGZPnEjD88/TmJdHVW8bTRm5tKcpqmdnROKGg01scyYrtgEyXMP8tHmY8m1PIiKR2beH6cue4pfzK3i+tZtXqw+RPtBDwWAvhlCQzpQMyosa8dLE7t2XM3Xa81jMlaO2ewzdDU4GXGE+FWCcXsW4IguRHm+SeCBU95HSLj0GydNLqPZvFL3yJ9R2A6HQIC5XNRFJhUqIkpt7BWbTeAyGQgyGAgyGQlQqA7s/uQiP8xB9la9imliAfvMUJLdCiGVoRNKQCezvxzAtY0wfHlmSiDqdqFOViaYsy3h39jD8QXLJHYBoUqMtsOJRCezZ04cjKCllbO5YN2QR0tUCGWqRLJ2I5vgcVSDKuECUX2LAXyezotvFyxON9NuUmDMgwJ+KNLyXqeK/6oKc2hXmsD9KR6xWLnecnXPvmIxaI9Kwp489DV18FJvfHijWMmhRUX1cF70Ud5Qzq71kupys8BxXdoSESBRVrMogf3IBp11fhdE6dsnZeRm2BJnU7+Sb+RZWt67mnfq32T+QMG2WBD3u9LsIGRNl2yExymbrO3xWvJqlw7O5wnE2OTGFuYAAR7y4j9RjBCrRk6XOpUxtoF9bQJcphQFTIcu6ohQd3+FO9OHJ76PiK5chGBSiJDzgJ3DEgf+wg1CbK8n3Odito9f4AClLvouh/09w+F1EOcpZjq2c5dhKWFCxKv0U7q14gO32qWMeBxVwYaads9NtLEqxkKZR8fu9v+eRzS9Qai/ltxO/QbNQxd+6HfSHEgq0PS4fe1w+9LosKgsrmNDdgjXgQ61WM60sm3nyHjyBEE8EpmPsH+RwXgmyICLIUS7tWcP9hTdSY06uFpmgj+BpfRh/MDHmaEQNepUevUpPjiednC4NZm8nAXUfH0xZwIBFUfq4DGYWDO3jK50rGOdvp9Sf6NL3Ss75SIIKkVjyTBCosaRxyy238PLLL+OIdXU2NddxtsvFusqZ+A0ZGPzJnqSiMEby3pIDFz0J5WfS0dHBG2+8MWZH56PWVtyxHKRBkviqM7HOgNpKprcUAYFcXy4mSY9HTFYPzjJFMNtFJvgiRNVZoxRlx8ghryZ2UQkCZ1RLnF4tUdYNzovsrJOup8Pcg9/oxq9NEIqacCcMjt3V8F+NL5xMkmX5fABBEDJJ1PNPB+YAhbHXMpSnl/TP2Icv8a+HdOpXkN59FVGUUQkylv/H3luHx3Vd6/+fQ8OkETNYMjNDnBjCzNC0SSFlTtqmKeM3pZSbNmmTtA1TwxwnThwzsyxbFrM0zId+f4yssSw5Se9Nf733Nu/zzCPNmQP70N5rv2utdx2XYiMauYHFGwtz6z1pSj97K309n2VJOrfeLqbwIiuwGRo7Br/EEZvEJbO3UBfezqHUcgCsYgRR1zCQAYG1g9+lqvijKJiU6joTphaw7uEhFl9UwVWTruLhQ9mJy58tOqssvVydeZrIih8zbcGp/Hbfb+nozqVM3dh9HZ6edgp6HoZzsx7y9vQgZXv/OKKDvE+bS6swAasU4zJeYGK6dWT7kChyU1EBW+xxpgXn8LFQnJVsQR4mZOq1Q/D6R0D6Lgvnf4wJEybw1FNPsWVgC5uKNqGLOl5d55R4hinh83ClZjMgROkVQ+jjdYZk0/OavE0c8RxBE2Rovx4SdUgDaaSBNG4S/Nx2D3NnnTiAg4TJx4R7+aP5SRKCgSCY2CyHuDi9EBsK12Gl3dB5DpUnhQzxE2wgvxxEz29DPa5yH6bB5MZDTNu3H/m4SXRLno9dk8Nsrxc5XMaIR1USJOYXz6c51MzgcESMicnazrUggrfMy4KBBXjVbCi1LicJ+XfhiFeiS2nS9tGT7QQme4o3ceWZp7G67KPYaycgSLloFNM0GQxu5XDTd0kmcvd+7nnjXl4GDQFMEHQTwehhmfkQqixjmhKSpCFJ2vgbDsNmLaOy8sOUlV2JLOc8Csndu+n62tdQ29pHJz/OmMz6qybzrLGVgWQfv7hM4jsP6MgG+BJw86M63/6QRMoqYIguDMmLKViRJTdLihZzlSkx5eiLlL5x+egIoXEgMFz4uXw+5tm30nfrH2H4nvXkwfPzBXRJ5vY8L18LhABYZonz6MxaCprSlETigEnN5CEKBh7L7djqZahiDvnNa4ePY2bLrka7oX0jJ4WrBOO6J+hz5PHagfvZ/dxf0E8V6cq301ngIOw80QjXOb5usWianB4t4PKBz1KZKSFMEIvlFhRx2MB5/cdZj8+pXz1pE0qcJXxh+7L0eQABAABJREFU2kf53O4XEI8jkrZaqlk69CPytTzSjU+hRXuQi4rwnH1W9hwFgaKbbqTt6ivxVCXxT9qO8PfzGRsHBabVg/u0WuJv9hHd/AfQ0hhhUNuPAE+CIOHw1/GromncPdXk9bp+VFng4mQF81O5ykC25dnzeGNfG3u7IsRNhWRGJ57WSGRcaJlPUB2/huahDrak/shSe5aF1mYl6Sh08eX4Mmx3ZYmktkJ4YIXIzvrRho5omlwSi/PpYJgiTaf1YC35s2P8+Yx7WPGzl/jmvF9T5Mq+t3VTD/Kjilv5x9Hz+GngSn4h/21kP0cVC7Y8laqZY3mQ9XYb+woNLpr2BEO2K056b/6v4n2b6T8TalTGulckuTTbT89SdHYgIzmO0DmcC+4q3YueEdEzbVRZ6pnXF2XbcKDObnfeKDLJ0LKVgCbMK+KPnYMjFafyImEufuNlAMziMjLW7FgalFw8xnmYwyOQoCt4AzMRdTsPWtI0X3Ed048coqY3S8jH1q4ltnYt9vnzKPj4x3GeeioCEP7d91i87w0iyukMFBVxxsFt3L/oTNJKlgzYMA6RVDrYx22//jEVpRXow0lLrkQP6TW383B8IQOtrazURo+tdYM9tA0uJVlUSlX1brZvv4qZM24fs+9jOLItaxukTAjXeSn9/Gy6Dg7x5u/34JcF/Jkgrpa1Y7bLNG8j+MA9FH7mMwQCb7GldRFtR5ahiyYXXrCaC6aMJrACf78X508O4zQsxJfq9HzofuwzV6O+3km5JXttRc0g8PAh5Nfbcc4rwTG3CMmdvT6JHTvovvnrqB0duE47jcIvf43YpiSpxsCo4zjmFuFZXYXktyEIAgWAfXkFz9++B2Ggn7xgE7psI+4oIVxVydTLGqieVYA+kKRley8tW7upT5pYj6PT7AhcGxW4elOKJyt0/thgITTc5j67yDdn2akslzn3QJo5HgeVU/zMWl2JrGRHtslLSvnmrDxe2NzIpHgLU1NH8FljrGyL4FOjeNUIGc3DmsKFPLFsLpooc1X3S/y46XdYzQyioCGdkBKt9Skkf5FHOr8Ma1E5uIrAVZz96/BzWTxCW2cTHi2OR4uxZsMbeLUonzMMnIZJShSISA6CjmpC6Y1EpL1EZSdg8sGeZ6lLdtJoUXjFOcAPq9+iLr6Yq4bOojJTMqodIiL5mo98zcfkFGRLcI1uqyCDZVk5D0hd7JHr6drfSVDVKLTIFFsVCksUiquKqVBLqOlIUNAYQmnPEmFGQmPoBUjO/iqh675Fuvl51MOvsstawd/LL6HH8vZC7TrQl9E4t9CLRRS5Z9893LXvLiDrQP/BW19kWv40fjPjs+zodvB0f5w5QRsr+zRaXSJ3TLCwq2oiuyobmCNofLqhinPKi5CEGygAfqjrXLxxL/uG0zRNQeK+8gtHtaEwM8T/O/wbFg1t43FnPvflQUKR+flpP2eBbwHbt29nx/btKPEuKuikgh4qtB6+svtPfHjGrWzzZrWDNuTNIV8NcXvjD1GGpQ40JB4sOZfJThszXXYeGa5u/eJgmGtn1vGxj32MBx98kI6OLJlSM9TLB/a9hU07kekbfq5MC72ZiXRPnMvaSg8N1cs5t3I5a55/fqRy84k4Nr86hgsiJv7jsko6ZQ/VsWxqYo+jh5g8Ng01pgsYokCDHdYylhhMWawkZQsJJftc5EVNbnjRYLjGDZZ2jekFkB9dydHSnP6lRctQlB5ie2Y7H+JD47b//0/8y4wS0zT7gReHPwAIgjAP+B7ZsrYPAv983Of7+B+J0pmzSdxnxeVJYQAWdI73dgGYpoaROYg9ZiD+9VssOSVXheMAE3iaMzERSLo3MyuuM/tzt6DZlhPdsQmAAWcH9098lOXdS6jqy4ZYpkwfLyUv43x7djI7w/ECR1LL2PkM3PD561nnXEd3vBtNEPh2QT4P2GsQZi7ixcd+xgP8Y+T4FwVWsCSmU1zxbWqqDF7d/GEumfd7vtd8O5Zhoeq07uBh8zQa/btYxH4GM0OUpwWcpkm34OWTJV5ah3mz/XlNfMvl4Jyuq7ghtYsK64HsD5koPP8V2Pwn8qdciFZtZ6OwngXpFJdGY5weTwwLKv6VLdblROSPcWZiKoYepVcM0y0GGBQiWJCZplUSsQd5wfs8uqAjoOOpvIdJXdchxaZwgXCYi5XfYDsuusEwnYS0G/BIjyCLPbiFGJeZL3KfeSamADEhxRvKfs5UZyEgUCVKfBqJj5tWDmcM1usZGuUYNnsHNXJw1DPg9LvYV7gbo3cfRR6DLo+Pjb5VbC2ewoDDg3PCbYiWAPaURH2nE7fXz3Wnf44lM09HM3WeO/ocf93/V46GcyGlYWuYffX7WBU8k3RPPPtICZBwjWbjBUNiSFRZV/UcmpThVy1HeGTgRez77SS1JEktSVpLsswe5WxvhnGKkowL4VjIqnTMsWSioALjiEQDomjF652HP28JeXmLcbtnIoqju9n4pk10fPozmMncwCPl++m5/gzuKm9m5+CzI8sbKwXuOEfk+jVWmqrrOFRdh0+fyP7SWgwlH0yT2dFGrup7kYubfkKe9vbh8OOiaxvCXWdwYMYy7lp2I3HVTrc/SciRYn7hFFp0Kz8+9BQFegiHkSKTZ7KmvJQp3X1c5N1MQUEuWuaw4OQPU1eyJridj+d5uSEUwfEudPkCNhffrWlg8ysfJqkNX5cFb68JYBoK6YEzEEyJMy1r+GS7irPzNGJFcRL2KA45j4HM/6PQ8o0cofTaj7I5EctvGn+n6SjcfwXicaTXgLmY0sgtgIQe6yHTlB3S8q69FkEZjiCM9WMPPE/D5UEkcaxWVUgQ8B27DpkYevUZxNZ+ZZRXPHdiOvrQYcShw9xwED4qiSTy86lacASG+cgOyU2JfxnPvvQin3v9nariFPIX6XyWDoc0VvqSnBb1s/TurQSd8MBpIm/MFMeI4a4IJ/lyNEjdcFpd304PqaY0XTfeRPPs5cRqLkLbW4w8vx9Nyd6rUk8vn519F12xEpo7PNQORBABvy7iXBEdidwzTQFhOD13rcNOVBAZTLqZGlvPfyret5n+s6Bf+xkc639Ocmn2+zSbjhg2QYkSsfURU8uweHqI9ziwB3WcxQILIjLHaj42lddwpiSjDFdUM/U+TFPDN8fPPV25UtQXvPkUFjXN7obJCOddgHtdG2FPORHffgxDyIY4mCa2VCGSbqOjIs2BVBosVr716Zv47p9/Q0Nn28j+ktu207FtO9aaMvIawvjzDpN/Fth2v8AjJR8hqmucs3cjT845ddzCBzWhAD/7xfcpDAfRh0ZHEFhffYWolkErKRmzXRYC/f11DAzUUFxymGTyc1gsVyCo8zBNM6fVqBs078zZPfXzsun7ZZP9UOzgSHecyYeexTVc0Uq1+oi7yvANZe20gd/9nm7BxfOpFsTu05gRrcfEZP+j69i7ZT3XXXIW5eXlDPzylwz9+S8jx3FukLC09LF/0mYClNCrGszxKIjDokFaf5LwCy2EX2rB2uBFa32J0KN/heEJauyNN4i9tQHLxPOwNJyJIMqIDhnfJQ04Zox99fM9Gqfb1xLZ/AiikbNJhN1WhP11tFTVsEHz8ELMTpu7mKAzn8WChdNMhWXI2IavlwRc1qlyVq/KXXVWHqxW0IaNpI4ChTtOVbi8OI+v15WOEEkj13ZoL88c+DYLBnJjZkqw8FTRSu6quJQ97tHk28NlZxFTbNx+MEccHA9ZUHEL/RDsh+CuMb/nAWOVek5EGuLrTvrrBNVkcjDM54NhmpReXs57hRdZzsLoSirTxfj1kxRYGYYONE50c3eDlXVaBOPYwBzNEhltqczYjQRgMlzisnLjoTT24VO37xpkoEnguzOWsH/yKeMer9gi0zccXTQSpQNsCMX44sF2qmjjziOdaEXfRJcLkTNH8Q89DYdh57a3mK3WcplegkLW3pgf1DmzR+W3E608VaGwE4VPHO6hvH2QD5XlIwoCz/aH2KuSFaMeB9f0PMd3j96OT8vaf5+OxfloTKHRPZ/wq2vZ1vFLKuhhET04OYFk0eHhPV/hQzNuZYNvDgDPFK0kLVq488D3kNC5rfrDTC6p5c/Ta9gVSYyQSeuCUeK6jlOG/GULePMVldqh7FxyXngbwrBurYkA/lqM6hU8t6+BlzJ9HKjYzqC4FrqArqf5/ZuTWNw5CeV4LV0TbMkSUvZ+jniOoErZ90rRLaTDF9AuPESVmSXuezQvIiImJgfzDuROT/Ih6SEAjmYkDBMUCXYbcxjPwxhyukec8lM6zBEiCcDeGMe/op0edQopT+4dz0+ECcoSF3T/zzAJ/i3V3ARB+DVwBjDPNM2xlvf7+P8N75Wg5ODgOtTvX09p/hAxHPyCT478lt+3FNGU0ZJb0FJvIekGC472MGNON57KFG3Wev6ePgcdmbAS5tXyV1mYgu9cspbXft1IIphGBp6ZdCdt/v3IusLHdt6MoB4TMzS4yv8lCixZgiGolfPw4C+ZYrOgnzPEF3t/MNKWj/T5Wfx4gK982BypvFSXquCO9hUUyz9BOC4CqFvxU6bmvEP/UC/guxN3jzpv0TSpTYoIsbnkGT72+zeTsIyu2FUebOAz3aWcaXsSmzhONS/G7V+ybaCIv8uXMCj6mdjRzYIDg7RN+xCFNjulsohFFNjq3M+PK+4kLWY7GoshcHdHLTP1N0edT9qYSiDzRSzSTjLCIYqlN0bCP58Wr2SHkROPbMjUsNyoJSjEGRKjDApRBsUoASGKdkKUlG4K7NLKoHgit39wPgcj61nbsRbTFHjujflE4ll6bOkkuK4hxuG/PkEmmrsOFrud0obJw5+JtDgDvDGwHqtk5YyqMxB2FbL1mRYycpiI9xCGPLrLkDMePKHJSIaNmDXI2roH6fQNl443wRtTqI8qnDMhSkHBOJP3/wY0U6JPnojmXITbt5gq/zwmuj3kKePz9NG1a+n6whcxh/V8EEXazpjKr+f00iWEhpssoVlqUK0T0CwT0Cy16EpOFBTTZHKihdOHNnJF38tMSrSOe6xOaxGv+RchmgY2I4PdSGHX09iNNPmZIOXpfpzG6GuZEK38sfJq/lB5DQnJPmafkqmxKLyXMwfXc+7geqrS3dnzEgR+ll/BUy4Z8zhPo2yalGg65ZqW/agaFcP/V6ga+YbBQYvCF4oL6ZXf2bfh1O1UpUuoySgcCMxhXzpriChoXNq0lqsPvcbhCoO9FaUUxl1UOiewoGAJxdZvoYi5CRaViyGvBhJDkInnKsz17oFUzvszxCSSqZ+RjeMzsPV+CzHVDJJM3jXXktI0okd3UhjdiWiOjVJTHVNQLvoen2l5jFu2PUHlsLc9Fq6g44Vj75GAPPMMhNgAWudBzMzYIVF26NSf3zeiDdK5Po9oh52bT/kUewrqx6x/IiR0Nlk/R6GQPbfOI2U8KAg8eopI0jZ6wjcnfzqfaz3AwsHWkWUb+zx41ro4xq0+OHE1r0xdyFrrl9EcJofrnAzlj01LsCd1qjsSlPalR7Y1TAFxmEgygNOqyglJElcNnsWlgpupN373P0qA+93gfZvpfwbeSwHuLbt+RslP/sThjwgcm8vc0WXhoCGT7LuABenVXDbrR4R3TqaubyYNnumoeorVK10k7Nm++frH7qRoMBet6Cn5IC2fWcrd3Vm7xZIO4um/iap+lf6yH1JZVsnHfvIge2ZXkbEGEEwwj5srSqqdTZMa2F5Zl1tomizav4sPvPgUM5sPjTkPxalRMDWGpzZB4IK/8eP1HewqrORQSeUoMW6AOpvCfQNHSX3ta8SdDlzxsVEECbudl84+C90h4/N1k5fXRWnZGRw8YGVwcHTavGRmOHXv6xQdCOE6/XQqfvVLBEWhszHAU7/eBYAoCXzkZ6dgcw5XsXy9k233rGPRlh8hDk/LGydeQ3/hXObv+BmO4RSZjKKwZtXVWNKLsilQw0g6uog7j7Di4AGK9u0b997qokJTw5X0VSzl2pvnk1nTTupQzvlmJAKktt+FPnTyjFXRVYLrvE9SctOlSCekfOmxGIG77yHw179iJMaPxBgPA3YvWysWIxQuw27Jp0AWKFVEyqwCFgQQBdwrKxlaVMQP23p5YTA8Zh9FFplJThuTjBATW15gUttLTEq04NNidFsK+WvJRdxXej4B29sXlzw1uI179n0Lp/HPi4q/lxhQfAwpediMFB2iwl3V1/NG3nImJOLMCfczORqmOpGiJGXgzVgQxAB9rp20ugS6rMV02YroshbTaS2iy1ZMVHa94zGr4gY/3JNkWiRnS2sC/HmChXvqLBiCgGgYTNWSnF3g4/aYRmI40vCDpfnsjyXYGT35dbPoJmf0ZriuOc6E5PhFh45hl0/i1qlWmt0nm4XkUJvoZEloJ3uYzBldb3JeYiNTOTKiJ/vPokOx8ampP2K7L6eLVJnsJq04udhv49tKB0q8DzXWzzTpXCJC1lt/z+GfsKrnVU5d8DfabWWccmQP07pbuEZ4gklmKwDbmcRf7DPpcrfQ7hhAP0mla6fqZFH/IvIyeYiaDU9oCormJuzo5NEZv0IbDiaYlZhFU/3nSWhxbt3/G0pjQ7zEElSc9Nn6eKv0rZF9TtELOCjl+qqvFCepsJh8LfpbujzlY9pwatNO1PTTHPEe4SMv65yzfXRb9QU1vOH8KlsW9PFS3RQAJve2ElV/zbqFf8IxefK/XYD730UmWYFO4Lemab4zyfw+/mV4r4yjzT2dvPHiL/ha2z30UMgdfDC7f0OioH8ZAOnw3zGN7Asm6TpL2zuZeqmH36RWjFRZ21C8gR5HlvWtzJRxxs4vYjFs6Gj8dcE3UOUsGTB3YBILj3xm5PgeqZcPFnxmxNs9oNaybuAjTDu6m9enHuUvMwZJWwQk3aSmD5rLssaB1VB4uGUpdcJ9I9uOh4F0AZdMcBIek4A+FlbDis1I4jINZExk00QxBOYOTuYDsX6qrW9/rU+oCkkaC89wOvuYhKgpWNPF2JJFWNMWFnQ9y8D0ZcS8KX5WejvFepTvDwZGVbMyTZGh9MVs8k1ioXoXRXrWY3dM6Dz7P3zLeROW+HBIq5n9XXqbawIgiT7+kawgaGaN2zyHwu+umcspDVm2/JGtHXzt8T0AzIgdZFVgHeXWIZYWthFVrewLFdOe8J1wxpBfUUXZpBmEB2vobz8u/14ycM0YpKW3EUEQmDNtIeE9HiL9x59vhi7by0SFPRQHZErLE1Se2oNszQ3cmahM+9oykoHhoG8BEMzj/if7PAggygUozlX0++3srFfoLhARMTAR6aSSjDBWAC9fkWlwWKmxW6myW6i2Wcjfswvle9/FFYnTXzSfwYJpNJVpHCwL0F4oMej1kLBXoVlrQBhtPDr0BMuDO1gd2MSqwGYq0mOF0QGSgpVnvct5xrGcQMKLxdAYcvkIOj3EbHbmZRr5cs99LI3sHnf7Y+i2FPLjuk/wj6LTcekJVgW2cObQelYFNo9EPxmmwAGzgj2eEH/w+4lIo58VVakmnnc1puhCTh9GSR9ByRxB0nJtl00TbRzvtS7loctlSOTj0b2c3u7gyvhs8jQPAgLr7SY3J8dGYRUlgnx8/9PsPm8Hl0UyLDOi6OZ8guonKbR8G0XsHrONqQPiWCd6Ul/AkPptjuW4uqQn8Cl3ve11A9ANkUiLjWCTE91SxoSXX2LtwEZee/pj/GgwO8kzDWh+vgg1JvO31SLPLRQ5u+ZsvjbnJlwtfcQ3byGxeTOJHTswk0mKZoXJn5L1uGXiEs3PFhGwePjg2d/GL0QpE4aY1N2GmDCQNAOblsGupbFpGf484wKiFie3yPePCGM3iQqXVZeOanehs5pvzfo4K1+5FaE/J5r/O5+XO/O8lA+aXLnOYEmjydeXfYorS9/gWnnNyHpRp0RLlYP+AuuYa2lN60xoSVDan2adOoPlSlbbok9SOL0q247qiIffxS+g9utff59MOgHv20z/M/BekkmPHnmVgsdvRXG0kZ6W7TvbDkv8ymZFjU0lXn8zX3gujCNjEnIJBCY7mB/WudfZwY5JWe3Hsza9yMxduUmMa+5l/HDhLLRjfVbg79hjWS3LcMEXyDgWcNMTDxL327HFnaScY1PQAJqKKtg4YfqIPodkalzU/zpf2PJ3nLtixLrHCgEXzoggzLWxYu6dDJwkRefHDeWcrcZ48cc/ZvH6DYjD848DU6Yw6dAhpGMpJEsX0nnNBgQE2jZ/nHTPPGadUYWzJsbatWsJhUKIus6SDRupOC4Kq2/hAgYvvJCh9gShnjSCKeEv9jB7ZQ12ux2Hw4EiWTly3Vcp7t0BgFlUjv7dP7NrexPB9nWsWPsUiqaRsvrYMv8WNGUsOeCKNTF3559yVV+rq1HmFKI+uW3Ueslpy5n1t18huZxoQ0ni2/sIPfE8ibfuAjVHAgmOfCy1K8kceRkzPVq3xXPhBeTd+BW6BDvVLonoQw8xdOed6OHRRI+Un48hWzH6esZqF54AE4Fw6Uws51zMQEMBFo/IKZMWIHksSJ6cPfNWMMp3j3SxP/bO/HV+IkjI5kEfp8jFzKaDXPzGy7y0+FQ2z5gzstydbuZ6eRNnVC5jbtkSFFFioPkIWx/fhBIO4hBDOKQgdjGI5jiCqAySGE5jG3LOJyK7iMgu0qnthC2lhG11WAU3biM9kgbn0WJ40lH8XSHyOkOUuQZxl4/vVDxqLycge6lPto9E3PyzSIhW4pKDmOQgLtmJSXbi8rH/HQwoeTxbuIIDzgY+0Zzhw0czo5zJu3wS35lho9vx9pHZ4yE/bXBta4YLu1R84wTPR8U4m9x7OC2+AIuWc97pAtxXY+HOCRbS0ujBuy7RzkUDr3PBwFoKMkHOnfsn+gjgHbgNqwYzoj6uicWYZQ6y0zt5ROPpkr5XmR07jnzOr4eKBVAxH8rnEfWUcvmL19MV7ydS8Fkyjqy0iKT2MDm0lgea/k7xcSlrn5ryHZ4symrxXt3zPJMTLXxvwmez2xgqd+z8JlPSOziiyOy02XjClUfiJDIUim5BlXLRY4IpUBYrJ4OAx+KlKM+P6kyybWDr8PoK53ScAw4/D8xcRlKx8vE9ryGFsjbo66WvE7BlbTtZzEMzRmdtXOzLMM2dx62BH9CXX8SJmNF5BEv4Htrd7fz6Do2y0RmuCHaB1xb8mhdOD7O1sCG7z8QTFGY2c8tZf8ThqP3PJJMABEF4FqgzTXPqv6UB7wN474yjh196gZfDTdx14Ds0UcsDXAxkxZD9gwswTYN06LfkAjTBoulM1iXWz852IhV0sbfwNV5z5UpUFkWrObfxk6x39XJ4ym9HHfNjW3+IouXKSq4QbmNacc6w0k2ZltYpqFsGUUWBPTUC2yYKbGsQsvorpsnfOiqZq28Y2cYw7ST003BKL44q3fndAj9PuLNGhc0wmJfMsNnhRhPGT3cC+H1vP6cl3zsn8nam8yI54i1/IMa87evJC4XoLiwm/1QnU5X1WI4zJPoEhUNdUxAnm5wS2XuyXQMwZHr4GZ/APk5Z7+NhYhJRIjR7mjGUFKvjp7FnaDprDRmTrJjozWdP5hOn1qEZJqt/sYbaw2uYGd2H3xLng7W7UMTccxDK2NgbKmZ/uJi4NpaYEaQiJMs0vCWzOedTCyiu8RAKhZBlGZfLhZbR2fLMEba/8CZaqhFDbQY0RNmgfFkv+ZNHG13BI15iR5cQ6SvA0DVMU0Wx6BRV29HVNGoqQZnaiE/v4VCkkG2+6WxccCat5WPLtv4zyFPD1CfamRRrY1q4jdpkN4NWNwc9VRx2VHPEUUWbvRRdyA7yExLtnD60kdWBzSwK78FqnvxZS5cvJD3tGiLlq0nccx/6w/dnGcHhO+YsSVMwLYajcJzw67dBr5hHgRHGxGBIkuiTJfoliVbRw59DX6Zfq0K09GGv/BuiZZgoEX1EfVeQdp4ybpkdQQ+PEEtypg1TsKEppehKGbpciq6UYorDUVGmySeaM3yiOdfuLqfAJ80EocTJr8dycQ/fl/9KnZgNf07q8wiqn6LQ8h0UsWdkvUCTg4F9HqpWDGH35/YXaiuk79BEBMmGoNhR8gspqXgIqyc5XuYGAFHVwq5gKU39hSza3zMiMJ332c9Q8NlPc97jZ/PA7p3ky1kDJ9Ri576UnzvOyTFZboubm+bdxCUNlyAKImYmQ3LXFuTnL8JCdrvDrYWYuxVeqppHwYwYV0prR5G+hiagp0W0tIieEtnjmsB2x0QaBR9/kP46st6l5SUctlgwRCdx7+XYrPN4Ze+XqIy1jqxjIvC8084zLid7rFaikkhVj0w8+Blesd2MIuiYJsS6rbjK0ggCDNrt3FW+jDkle5DE0VGMUx9LYnGI5LuyRthBfR5X1udSXe7cVM+SPz7xPpk0Dt63mf79eC/JpN827kJ664+san2R7lXDE7tB+ErUhirYsSi/4WPrc5PefVUWnljsRDBNzOHUk/JAF5c9fT+WVAQBWHfeNWyqzD7yojaEv/urCMMp2SnnKUTzP8nknlbO3NVFxj44Ugk2aAniS+eN6tvSksy2mslMkw7xxeZ7qdVz/WYqJDN00EW43TFSTFYQTWrP7md75QyumHUbuiBjUTPoooQuSVi0DKvbGqnuPMrcbdtpOHIEgJjTycELS1h1cD/RXTmSKnCdxj79k2hdOcHv5ddNZurCInZs2UL8e9+jpH2s+OyGpUvoqKo66XX3BYOc9dLLI9+3LjmN8NxpI2K+FR0dLN64hR2zv0zUUwMMVx0TGBWh5Ip2MGvvHwl7Lby1/BQ8pcWUtb1B/YvtWLQcSSeWVmC58fs4JzWg3/97Qg8/Mqo9csVCbLM+gKA4MDMJ0u3Poe5/9bjxG6KKg1cnrOTUtg3kJ0dPVHF76F90Mc8zizV2iJppKmIDVEV7qYr2URfpoyHShy8xNC7JpOflkVi2lDlf/SpKcXHuB0OHVBg9EeCh/gi3DRh0G+9eGcWaSXP6lvVcvPYligLtHKoQmNom8ssPfobXFiwdWU/KdODt/yk+2WCKfzJ7+neR0QwWdJzL7O5VCMepSva6j9Ja/ioLy93cUfQpBo2TR9O44jEW7d/Nkr3bWbh/D+5k7p60zKqkfE6AWan/f2sZ6KqAnhJRXDp73BO5v/R8DiurueUAlKVy9yYiw/dm2Hmz6N1f76WDSW7dncCpjY0Q3uMV+UdZnE2W+yGzgwLVy9dCNzBzcLSQdswtc8dMBwdKbaQzKW7efgvnDGVTzw3JwuWzfsVWBbwDv8JERLVOwrDPoKjgDFrSY+OTVpj9fKnIwuK6meAYWzVua+9WPvbSxzAQifmuRVZbscXXIWAiil7+2BdgaSxLFj9ZuIpPTf0uAP50N4baS8ocRM50UJHaRVQPkuEkxhlg1a1UxiqpjlXjyXho9DVy0HdwlB+7TtE5TUqjJU3ux4Ex3CFOC0xjcjibrjnk9PDC9MVcte1VFM0gbo3wYvkrI/uwGAoZcbRtOsmmUVt4Bq9FLqLLmyXa50QOsNOTHcorAn34+28jKHXzt1/q457F4QmX8P3PrqDLniWjbjJvZS7bwLyR1as/+3+PTBIE4fvATmCnaZptb7PeW8Ac0zTfpmb0+/hX470yji57+HFCVoM1u25gO9N5ZrjUrJL24gvOwtADZCJ/HbOdVdVQfCX0VNXwUR6ijB6+U5DPM+7cY2FPllDbInNgaueobRe0n8u8rrNGvpf2vMWpnj9RMGG0ty0ZsNC9yUsmMlytQoHfXyRwg1NgyXHVB3TTz2DmexjYKbF8CmGYVNllsfCh8lwO/6fCFv5R+w1uFKZSuPdJ9ssvc8DewW67Qs9xqTpeXeexrl5K9JOTMz2SxH6rBZthsDCV5sRh4MQopX7yeZRzGThOOmN+7w5WuzZid40mCl502IlKIpdE46PE0TRgQJIoHadd+8wJPMRFyMMWoiiKFBQUEFZCbEttZ9AySNgSHlU9DcCuW5kXWUBvcBE709n0wwtmlfHDs2u498c/JNPRhCLoXFO3g0LL+ASbgUBbspBdgwW0xQowETGOEzwUZZmGBUtwz1zK2qiPlKYziUGcnXvo272FdDznSbIXJqlZ3YXVm+vUdVWmZ+s5RDvORjgu8sdil7n85nnklThh4BA8+2Voy2m3PFNwGrfWfpyjjsqRZeVDGksPJhFMGHKLhBxpAm7oyneSsVgpTg9ywcBaJsePUp9opyHZTr46NmT8RGSQCFi82HQVn/72+kfJIYWhARtfX+iip7Kc/+f7MAW/fJBMyzGxdRNnaZrCaVHsBWOJl3i/hUSfFW9tAotr9P0ckETu97jZaLfRJ8kEJBFzeGA1DYVE+w0YyRy5JkhRPOX384HEdC4IrGSDR+e+KpnmAg+yrmMTZZyCQH4ySH46iD8ZoCjZx5TEIRSbnaHqubyQitMmFxIXqgm4s3pQX2hKc11rru1tDoEPuzOofdkQb1GEbywcoKOxgwdCM1GPe9IVND4uPcenpKcQdIO4PhfD/ChF1u8iH0coqQkRxZEjPQJNTvp2eDgxWg5Ac0pYi2S0IhPNlUJUTExMehIe9oeLMYYN30ndQ0wYCGX3L4lEvvAJepO7WfriGsoWZ5ebJlxcVkKLRRkRpD+GecXz+M6S71DnrSO97jasa7KpuhFRYFd+LacOHCVpKtjfhsyGbP+REgTu87j5s8/DXT39zBhOsfy7x80Pqi7F4jqT2dEObmm7ixmxkxvXBvC5ogJeN2fyw16Ny6U3SQwq9Gz1kQkrWPMyVJ4aQLEb/FK9nActy7mq+mlmVexBHM5x8z8Gc4py4d9nJn9KtPJuYu7s/fzo1jy+9Ls3eP3114H/DDLpfZvpfw/eSzLpoj/dwwRXFz9o+iWbV+RSgl573cLT9TLO+Ff50J6KUdu8MNfBtobRUUGCYVAcGqSop4W9U+djCtkJtitwD/bYayPrGaKbofLfU9mXYOnhZ8kzsvvJiBmer3wet+pmSe9SHMbo9OYS+jif16ggS8wbJryUt4xfTPgIgaSH39yW1T8CcBSlqVo5xGP117HFdwHWnZtIKFb2VtQzv60Rq6ZiTaU4/5lnRwp0DPj9/OQKgwnKEDc9opHszzqUmiecQ1vl+aPaoknwgW/MJfHtm0lseHNkuS6KI1FNqizz6hmnE/GOr3uz/I03KevJ9v8hn5eXzjprTFhq6dFCNMeUke/5g3uJOUtxJAcI+nPLZS3CYGEjqjVn0zhiGZZu2Ep+IGdbGoJMyurDkcr1fYLDQfHN38AsX0TTmjZcSY1/oPI30tQFO/jc7seZGOokYS9k77SPE3eVY0mHKOtZT1nPBgw9yRMTTuUf9aeSUMampMsmLNQULirPZ8JkPyUFBtbtrxJ+/DHUzs4x6yOAJU9CwAA0BNPIRmsPR22bQI9QSHN+Na2l5bSWVtBaVkFraQVxR65LKhns59z1r1DbsZbmkgT7q6DanebqaJRJHQbd6/L5w6Uf4+lTzxjZRlT78PX/FEkfraFVEmlgSdsHkfGTsggE3BJNZQrNJQppy1hHVWVvN4v37WDpnu3MaG7KRbqNg6bKGu687loWmvs4b+AN5kcPjFlnUPFx2FFFi6Oadlc1Pe4aArpAQbKP8nQ/0/UB8sJ7KEtGKdGiKONUPwZIRyQCTS7CLXZMXcRemKZoRhRHUYa0ZGNT6fmkYlcxrXf0fby3RuH3DVZ0Mev8Fk0D0TTJi0cpjgQo07sQy6Nc1WJj+tH5o4g3Q0qzv7SXOysKOYSF2U0HmNN0gMkt+0lY4jSVg6e4gUuUDyOmRh/XmO7n0NDXOCOYdc4PyV6azv4Nv8pIbBk8iGapR7PUwHBfg2lSRRuLWc8CNmEjxf1czyYhqwG12Ovki9XFLEtFGfj1b0g3HsQ2cybOpUu5y7qVe7oeHzPXgaxj8iv2+XzYohN2lTPdWIQteD/WxOa3jb7L7UvAKkylMN1AVcRPYTyKPPJMmGytFGi1rEE0QiPbeiWDSaJGY0oiIkm4FBc/KP8B61/PzgkEE+rMCuo0P0WGl/9XeSfbXNlnx6M5ichjoz0FTHyln6VDmEdSzs49vtZyFz+rzVYcd6USVLR/g+qOAb7+2PjPbNzm4oJf3jFSDe4287OUGL0UZb7PjHM/+H+STDLIFUEMA7vIGkq7yJa2HSBbmeQO4Khpmu8s+PA+/mV4r4yj3x1s48+Hj7Bt55VsMOezliUAWJOFeMJT0NMHURMvADCpZ4jGUv+Il8eW0Siqd3KJ81UOWRRchsnDbhf3+nJRRxbVJKOM7mqcaR8f2vadnN4JkI48RJVtP2eVNuFWcuSKbgg0Hi2iq9mLT08zaX4v3qKc1y9llhNM/xCdQoosn8YyLNibIavpERuuCHZuNMWnO64nmhdiovgK1hP0avZbFD5SWkxy2HM4J5XmD73ZtB5NENAEyAgCe61W/uFyssluwxQEVvcb/DzWiXJyYn0EGWTeYiExHEzhMA2Mnn9kkgKbZQczrEl8JwymG2w2fuvKp1+3sVwK8qlgeAyp1K/7OCTU0mIpImoXWeM4SLtNI32cEJ8rqRCzjz+RrUnUEQ8uJjRUwuWDr2JNhUlaNFZO2M8yciHc3ZJEsa6PqxelmX5i2nl0J1cRUQOE1SEimUHCmUGiWoCwaEfAxKWP7rgdxQmKZgXw1kRH2YfJoVq6N92AGh8dYiqIAhd8bhaVDQ5Ydxu89Sswxp6XhsT9pefxgPMMlgYLyd9vHdd7IAtJpnufZIHtSSz8c1FA7wRdciJMOhPVMonWH92LEct2sy3FsK8aztsKogkWj4q7IoV3go7VOVZPId5rYXC/m8TAsSiwLOkkztTRCuP81efhaZcTdbwSxqZEsuM69PikMb9ZMPkBDk4ZjpwzTQ2BN7GLj+KSu7FK7yQUnUM67Seofx5NzOXSa1Ivm61PcnPiAyPLvio/xGflpwFoNkr5nnY964yZJzRMo7Asjl02mBkV+fIbL1BZ/9wYAg1g6JCT/p3jE0knQhNFen1eSguHqKsZok92cjhWwOFoAXpaZMXBdpTh96/D56IiGkUwoO6cfqye7LF3JxzwvBesJmumibw2XaKtCBAEFFHhk9M/ygdfuQ1nIhv1tdFmY3EqO3FptCi84bDzlt1Ojyyhk+1fNEFA51h/M/o8roxE+fZQduKnIvCadyL56Q4mpZO4j7MF/lBxNf0WP7e0/AWroWFiRRSSRASBjyiX8UDoCYb2uAm3OkbtX3FoVK4YIu62syz9W5LY+PWKW3Bbsu+pb6/BvGD2XLpVP0v132Mteg6p6ACSlmRZSy1//N6D/2lk0vs20/8SvJdk0qp7/8alR7fyOfNe1k/KJ1U8/K6+KPHlKRbs/WdzXcu5o7bRRbhnlYee/Bxp7gg9jmBEydjnoNqzKSaiNkhh582sbixkzeQujOGhW3V8gMLBNZwysADrcJXdA74DHMwbTms1YWqslqmB6ZhGzuEiYHCu/SUaGjsY3OcgmnSwt2EK/QUlTGo+SH13LkKobHEQb02StlW388LmJmLxODFyqWIzdu9h6sHs8ZI2G89ecC4oAoYh40oMctYLaxn0z+XAlA+Pe92cqT4WbP4R4nC1UkdZmuRsN8YrKsJw+XrVrdB5ZjUpxU7GUUraXUNSsGM9epTFTz8zsq83ly+np7xs5HuP7iYWn8DSRM72LO9ax8TDD6PKDhQtwZEJF9NRefrI7/ai/eTNegRBSnOkeSGxaAGCYTBt3wGmHtg/7kgi1Eyk9o+/xlJTw42P7OaJnV1j1hFNg8s7Gplgn4ymjOaPTdOgTVLZaodW2RgzXJ1W7OXG1ROZPrUASR5NupiGQfzFxwnd/1eiO48enyzwX4IJdBTmsWlaFV3+DAPOw7SUmtgxuCIa58polCJdoNlRRYethFRYpvLpdu5deQkPnH1x7poYGSS1E1NQQHQgiA40cSxJdjysmTRzDu1n4f5dLNm3m5Kh8dP/ATKyTNDtoziYI/RUl4ujN3+Tb5RMwBbr4bTgVqa7bJwxaQGWoom43YU4JHFE2B3gnq5BbmnKzg+seoKP7P475d4h/L4uChy9WHUdNeYkEXORPKzi25WiuH1McwBwFqcpnBEZcfYlnB8gGLoKU89ZxUFbL0fyX6BSbScv0otdSiJYVESLiim60AJfhvSM3P0QMiR89xPJbERo07EcFlH6Tm7PmEBzbSFtdV4OVJg05ofIM3wsTy/ntepSjjiqCCi+cbctMztZzHoWs55yxj7DT3Epj3INkm5wxZrnuP6FJ7AOS3BoIrw6J6vbeEy/dlwIbq6w38CqYA9rtz5GQTCNOwnrpgmsn5Z7tscjo9LWGUSKvgqCQJXNwoXRbzIr3YLZ5MThjhEudnOL4xYIPIQ1tYvajMqMdJpdNitOI+solBQ7d167js1vbGbTug2c2WUj78gOwKBj6Wq+NPkP4za7IjSZTl/jyHdVmUCo9Hsj31/ZfgNnzMuJ99c238iHXuxl5b5joZ4mx1dFOVxRwye+eSsAipnhbq4lHrLSrX6dz1z17yeT/hXV3K4HZpEtbTsbWDH8GY+1uvNfcPz38W/AotR+HjJUmh2VROO5gU8cNlgMPduB++IpJvSH0ESd5uLsxD5lkQm1hDk6sZQn1ZVMEjv4vLaOc+NxfunPY6vNiqTLTG93UjFgR5NMjpbFaSsJYyYewiatIm3P6m4ojtW0RXv569F5rCg+ygxfHwCSaDKtvo+8sgSyaOC15YikDrEcMXEbJk68yv8bIZIAbs3PGyGSqlWV7wwN4LT/HMYJrkkabtTgCs7M+Hiq9g0AdtqsfE7+KPWD8xlwtdPvbGfA1c6AqwPTNKjtcbCyQ+bT+Y0oJ4/YZUAS2WKzscVuY4/VQr5+hI+GIzSMk0Yn2mC5EB9lJLTJMj/P97FZdLJ6ezHzwhaaaxxc2uDkwkSMz3VE0XosxHutxPutFGT6qCpqJ68hzmfKUwgixASBgCiRVi2kUjYaU16e9/s4UBkjIeeuZ6vjKDiOUuEvpNpYxmF7O47Ct1gWHq0FUDZMYmWHUWmUV0cWAviUe7GKRxhSv0oFOfLCwKTHonPIqbNTb0bs2cEkxyGKZg3hLhlNnpimiINrsQpXoUzWiQXTxEIp4qEMoiSw4gOTqLTtgT/eCIHmUdv2WAoozWSfWxmd63ue5gPGs2wPVXKgchUH7QuwBvMpGbAgojPFvoZFrgdxSKGT3seUYWFAymfAXk6/ks9ktY2KTDvyScqZHg9Jj9O//xCZKdOJnH42riez5Gxtn8mUjIp7egp3RQqrd/w88aHCidynONmT6ae+zuSsEGT5QIHd2HjKIbKlwjumqlfuWgpoXVePIpKqLQfpyEzCQCSDwDfMBF8U7FyGBUGQgVUkzeVIxrMo4sOIwtvrEJgmJIwVhMxPYorukeWK0IxH+hG/TXxrZNl0oYVPSM+NfJ8g9vA9z738xHEda4ZmYBx7JDMyfUMF+CbCqkd/S6atmbb2AqpXDY4ilMLxM4i5zoNTMrxSaLDNo+HV0tR2d9JwuJH6ztGkrWwYbCxfwbM1M5F0DX8iSiGDeAsSSLLKPZ6p5A0kcKpJ5g40IejZC9t1yE3dghAAM+0JjjqcZCIK52yBc7bodBTAW9NEDk9KYHn9Vh5QRCJ5Pso0jbAo8ojbxS6bhcF3IVh+IjbZbSOC/womZ4XHCuo+7S7kN/5ikvaJvOp5iB/tk5kYS+B13IRL6+JrB3bTur8QQxvrGVYTMm2vFlB5aoCrva9zj34OB4Ymsag0q0+SrgCGszTEozpl+QMECiZwwXYn1T3tHHRWjzLc/0Pwvs30H4iv7r0T224RY7FAUThFe3F24qw0GCxuNNlWNTZKUDLghvWd3DvfQmtZlgQxRTu2xAbiebny0LbISwyWfosHamrx9t2KJZ31nCuJByhUG0aIJE1QmV19AD1t0JSWQIAD7haaHd2cHpmGLVSbPQYizyXOpcRVSH5FFHtqiPLQEBN6WrGn4pgII5ECXTv9PFU6n6OvHSY7vcsRSaZuUHs0V601eXqapSseRhBM0mk7mYyNVnkSHYMfzJ2L2It31hr6dl4LQNxWTEvNeUxoeQZXWYqKZQF685N0XzYNx0PZCa0SVZm5eS/ly4IICSABZslM2lryR+pK6bWTSFrOxRvQUKU0j1sFHKqPyxK5VHtXtIOGI48hYI6krjU0P0HcUUa4rJSi2Y/hrc6VFZ8x4xUO7F9JOFzCvpnT6S8qZPGmTdhTOTutvWI1zVUXMunNJAePHB6XSAKYkVGo8MxFG4eOEgSRGsNKTRzCgsFuq84+i8bU2jy+c8E0ZlR4s4OpmoBYAtQ4xAeh6SWExmdx9R/A1QBqhUj4qIPQUQdq/N2PJxGPm8H8AgYLsp+oxw2CQJGg0etzk3RkcItlNNuLuK5uAocd1ahiTgg6b3qIn/zhZ7gTce64NHtfTdGCZqkdtwLgCEyTyr5uFu7fzeJ9u5h5pBGLdvLo3IDbw+Zpc2krn0FnyXR68q3Udh7muufupqqvByUWY9K3b+HSsy7k7guu5PGy8/nK4imU28amih3DeT6JJ83NTGMns8SdFMzJkVMaApoq4ziiUvp6GKX77XWP4n1W4n2FuMpSFM6I4OABFOlNhoxb0Mxs5HdeqoRFXZfiV36OTerIVuxJQio2g4D6NbL17cBUE+itz6J1rMGImMNvXW5SYQLNJZC0wKAXWkoEevwCrUUCYVeQkYEZGCBMk70NS/xUgu7jUuFMk2J6WMQmFvMW1cOObBWZRqZwwJzK3owXQx1iqtjENOEpPt2+ndrnY1QOREmL2WCmHfUCD6wQ6fWPvtfeuMll603iLgcPLx1+Z8woLwz9kin/0Fk9BIYAATfkxQQcGYGEJdvvjPfUWNN7yev5Knn+M1nhqmARe/A/LOHYljUOy+p7eXTWV7ll/o3MCxxis6LxtDvXX5WrGldaQtz5ypf4hOujVKzdCv3NIzOVByytI+vKhoQ2nLFRHKnlvIOf5P653yNmHc5IOO659qkRCkOdyLqGJmXfu4TVz9TOfhjeu+LSEEVIh7PvTVtpjvQupRsRg2SoiP4D6+GqXH/578J7TiaZpnkvcO+x74IgVJE1kuYAM4AKsp62J0zTfGc10/fxvwKHX3mWSWUTaXLUEI/nXkZRz3bK5jCZVBbKTiYn9UbZUS/hjWbzRyOSjXs6FvF46RlkRCv7jFq+qd/LzU0Gb0Z9hCJexOO6i4oBO+kDOu3eGCWhzViHNZpEuZDKvHqGIvt4uWcih6MFnFlyGNdwlFKhmUBPCpjW7Lt9MJ7PUPIzVDkV8pQ/4RI3jRxjv0XhseGORTIFftoXxnlCJJ9pCnRkZnEweTq9mXpWef/ID3mGRKSKV4adWzvKX6FkyMaENgvnOqdS4ziX/swQ66Nvka+2ck3NXmzDQnGaqbC76ktU9f2F3UKKnZKN/aKNAVPGngFb1KQgkyWs/yQX8JqR4apEhEpTQ5RNRMlEkE2MYRmWlKBwtzefu/zKcKSJyQtL+jizy8epPTEufk7D1W2jMzzWA5Tot5LotyLbdXwT4vgmJKiyayBq4EgwwxHgLEFkTbeX9VIlB/MstDtynqFO+wC3T3+F33UsYE5oaKS3j7hk+gstCCZ4ohqeqIY1k5vUm2au37VLGykUvsNg5lscGx5FBMozMqWawdzSfvpn7MF0jvVIdceKeajpGr5w1qWcdYonW4ZdS4GWxsgkQU0ibvsOvDRawyAh2ohKDrxqlC5nFUVaGCUdRhUknis+jTvmXTGS6wxQkejh8t6XqRt4AUcqNLJcNyFjyJimMOI1EQSDYq2f0lgvsjjeXBEMyYZQPA0sLsy2jYhmLsKpSDgAjQfIV8oIrJqDkozhLdiC1fnOFVHyB5r4IqBaIF0pIuWJrLfa+HuJi53+scZTvurlosBKJidryVctPKYHecTMVfk5T9zIb4Xfs16ZxmfULxEbzjH/FSl6ifFp8obfWYWYfglx/Qw88sM4hWcZ6vHSf7QIsz8BgoDudILTgd09AcU1EdEVQHQqCIoNi7CTAstP+L52OV1kUyhlNH6m3IEi6CRFC2/kLeDh4rN42b8MXZJBM5CPRpFbsv2NGFW54a6HmNKWJQy1hETbthlUnzKAIvUQ0a4mKl3DGxNUHvW3EjfbOadsGpeXLKH7q18lJPt5Yckswi6Jir4uZjft49k5k/lb8WJAAgl6LHnAcVodxcMfwK4luCR0G/2FUcDJ76Ix7G4NQYCCaTG6N+bSXOo1lclGnEckC3/w+EZFBP5XIeoCZng+9QEvg+JjFAuRcdd7wOPiVr8Na/QJrFGImPCt8mIK1TxKu8u5co1MyVB8JJ0PspFxu+oELtpoIgJ6RqLt9XyuX/oi9+WfwdqOZSNkUsoroIvZSXGyQ+YLocco3zpEQTgEwMs3TMN4m9SE/4t432b6z4QYUihs7yc6x05xLEU72TFYrTW55HGdjZNaUcUMimGhtGcjPSULszOxpIeZ3YO0Ds8tVNtUDNE9knIiqn04Yq9gj68lY5+FKeTMfNEQaQg3jHyvKDtEgzfJAhPejMk8E1LQEUhLaZ7L20GdEGdOYCYI2ZSnvrwAaWM2sj46IlHS4szc+0fywi0IaRP/7iGOLjyuIhwmc9hPvF/APhyZoNshvTI9MtZbrUlIe2mLfhhTzLZZyUSZvfsPxOf1YaRrGbBmtXbaqs6kTNrL5DkbSEhWXig/m6qZb5LsLCP/raytGe20M9SoUjAlOwbEdx4iuTcnDL5vVg1ERfz5HRTNfoQJmp1U20KibYvR08PGmzWDIHPM4wWCyOEp12Au6qFu+p+QLKPHXVnWmD79dfbuX0kkVEJ/STEvnX0WM3fvwRmPE5hcQIkvihxVeXZrF08eL00gqGAqiCasTCrMzeTum4lOzNOMYMjYk6VIes5e85oip6ZETksJ1Bx+gdq/fhhTiCKo7+ygUuwGBdNiyPUqLZ35BON2MrqEakhoqoiSBqtpwZ1I4I7GMAWBgD+PgcIihgryGcrPJ22zMeDysrNqIj3e/BHR9jBwsqTpoNfHF2/8Dt/786/5yn138ssP3IAh5rQDG9qPcuHaV5jU0YJoGIiGgWQYuBJx/LHxx65jaC6vYvP0uXQVz8Cul1MQNdk+1cGRsqyNc7R0Oq/Nv40le3Zw9SvPML35ENe+9DRTWo5w8OZvUiyLJBIJVFUd9YlEdxII3Esms5svnFDRGBUsRwWsB0QcG0Wk2FhqI1Vgo3/qRJKOPMr27sHdlSNvYt02Yt023JVJCqf3UuS5kZD6GRJGVnDawMug+gPcxkN45IeJ6lcQ0a4BJIxUiEzzGgYHttKZl0+oZi5TWo/gj+RkFQ5UQGOlQGehwL5qgZDr3TlsMtqblLdspiBvKXO9MWYKeygUgqjINNPAE1zOQabRZNYhJbZjj76ErGajFDcCG7GCYwAuh7ejG2y6wVWDcS6NxLBPNEjJAoeSfnbZs89SzC7wg2vH2/6dM6tkrY9o/70cilg49SUZx7ac7SJ1irTVxXEM/JwnHZYxbexSZJ6K2vnKXzfR1bFx1G/tBbClLkcSHyOSBFOkPnwNu2tt1AzNZ19ZtkiJLueyIipSPdwhV+JLxBh0+wBIWQopiGQjXpvqr6CvdAGTEs9TtH1t9ngluSpwZWQDHnZ65tJROusdr8H/H/i3CXC/j/8ZeK/Ctv/xgx/wjEXhCsuDdESW0TM8i3KHJmNLFZEK3QlGlNUH2rBq2ZeuJw/uWZnP7GbfyH66rSVs8C9mYuww0+KNSMa7S42RHWcgW7OhnrKQ5LL8mwmLVnYNnslA2sUK/5NUxlrpeNOPqYs4CtMMNFjZkKhlZn6C+XlHcMk5jRoVgYsrSmhXsqzwKUcvZ/lgGd78l+kQCykzBvEmHQwkZrLdNkiteIjrLOuwKVlDKS4IXFVeQtvw9o60zC8OfYayo82orW9iqglM08RERxbUEaKlzzOFvsI5yLpBXugIvvARrJm3HzzfCYaQncDpojn8F1wpOAmXcXIIJu6KFP6GONYCbYy47mablTds1TRJNWz2NFKsaXwhEOKCeAIBSFlFmmsc9BaPrQRjSetZYimmjRBMkm6iygKaLJIU3AxmLkN35aNbkiTtQRKlGzAsY69NIFjKi9EzeEU9FUMVEDIaH9Bf4RLjJTDCZIwEPtNgkqpiHUMOZqt7mYaAaQikwzI9AR9PzTuL+2ZcSI9tbCWG47E4tJsr+l7igoG1ePSxudNvh86Ehz3BEg5HCxBtbiqnzaRmUi3OtrV4ew7iFItIm9NJGzPQzZyGl0AKm7gZh/QGNnEHgjA2MikhCDQrCkcs2U+zonDYotA/TnRLRbqYy4fOYGVkAZIJGXENzwkD/Fq/aGSdU8S93KX8HOvwsRqNSj6S+Ro95Iz1lUIXXzfLceLBNE2MUBtqxybUzi2QeXeVUjSLh7C7gv0TJnNrWU608wvSP7hReWz0yq4S1LzJbL9nkAGri4A3j9unXEyfno1wqo708ofXbkPCZFf9dAINV3CWXIBN1AjoVvYmDUL6O78UKTnOWzWPsTc9FS06/V2dB4DFu4EbDj7BBVtMPFUJypeGgOwz94twMUs7VOqL4/xjopW/eT3E/0kSSTBNJneYLD1gMqXdRDGypI1kQFgq4LMrvg7AqeJu/m75KZANXkwBdhMecVXwrGMyVZkyqtKlVKVLqM6U4tFHVzMy0lHMVAgtE+ZwXph9RREGLSEsvUe5/Jl2lGPXUDB5c84cflp9Db9f/VWswyV25+8MIRyU2b+rGl9stC7Y/upiLn3hNdauXQv8Z6S5vY//PXgv09ye/NRqjgYsLG84wHwlxFsL/GTs2Xfe93eJ31RYmDX0Dex6PoUDu3FHO2muvxiAVyavZdOsS3M7M42RYgfuoTuwxd868XAA1EXqmDN0rJqWwaLFj2OxpOhXRQ4eWoKpWVjrbiSshKjvhkWHDGoDBRycs2JE9FvUreQNzUE0RjsgRD3Kso3fR9GyBMua1aswCmWmCYeYYx7Ap4U5/GwJRiq7n7azvSgX5jRytJSbtjW3oMazDgPRyDBn52/wRlsxRdAFK9vmfY2EIzv2OcQAp5X+iC/M/wLbbHMpNztYdbiP8//+AkVD2UgsUzDxXhChzB6n5eUC0sFsm+0lGtqKmTznnMi0OY8jHKcBaRoi8d5pqJ0LmBVegNzVSGrbX0CyIJx1Lv3L3kL1jo5STQUrsbj7EOXMsUuL76CTXUOL6aBs1LoKKqcYO3hQXcSLZjaN22pARgCLCRclLFRruYgSXUyjWrfgD7bQV1xMymZHyeRhT5RiSeePEgUHKJCbOdv3c7xy37jPwDF0mDY6Bws5Ei2gP+1E1k1kI0rVoEZ+LIk3mRmptvd26PPns7t+CgfqGjhSUUPY5SbidBFzOLME0TBEXcMXCeCKx5jUfpQpLc1M7GhlUkc762fN50cf/TzaCfbI/AN7+MgzjzC1tfnEw44gbrOzffIMNk+bRfPUmZyueKjo7Ke/t4+N5YVsnVCBLp18LJ16tIkrX32OU3ZtJWWzsXPeXMJeL0m7HV2WsdvD1NTupKDgOLF3A5ROAWujgKVRxNIsIp4kQGrQP4WOitUE8ybnvKSmiT/YSF3L03ii4+TAFcmYpRr2ghok6ycRh6sjagLs8yfosHpokxO0E6DDKdNdWEzcniN4rcl+Vmx9ADl9kObSBEOesYc4EY5UVhcraRMQDHOMjmPdEKxKullXfTbb8megk0BSu7EmdqBkmhCOc3q+W0imyaXRGJ8OhSnUR88nVOCsyjIG3ikC+3jvMyCgMEldwUHlNYQTNKxkzeTs7SaXb9FIzUly91wrWxyj5yOyaTI5IbPPmdv2zIMaH3tydPTTby8UeetYmt1xOXYFydM4OOkGAKa2tDIgfRuAuOcSEr5sn10S3oi/+z4y/q9zpDirxVrR9RT3/ughYo5Stiw8FoFvsGjzD3Em+/jux7/Mm3MXAXCp+RCX8SgPdnyC4v09/Phnv/63p7m9Tyb9h+O9Mo5e/OO1PGFsxymolPVfSoxsqpt3aBZK2ko6fDv50QRz23qQ9dxL+YtLRDDymdr6zr1d1K4R9tsoiHuQooMo+nEDhGDDk/dBMmZ2P7KQZLn7bqbYXyWoVXIgsorCt9ZhHJcWZooC/ulJiicHEERIGh62xS5nSKum0b+XR6p2o0ppqvv8rNhdidVuZVJbO/6hAJ0VFRyYNhXdyLBSf4tlzsYx0bmNFoVrS0vIiAJV/SZfeVqmZGD8kqQhTx0ttecTzBurRWNP9OELH8EXyn7s6cA4e/jvozMf9DKVZb4IkmISbHYQ6bCDIaBJNoJ5EwnkTWHIP4WUvRC7Nki+fpQC4QjFyhGK7YdxOOMEFBs75SJO1duxmVkCq63SQVuFHUN6dx6RfxamKaAHZuFuWkyqv4xA2sDQkuTrBygR9lNsacRuSaJYdRS7MV6RsZMiIHu4q/wy7i6/hKCSE/WsT7TRbK8cEcQ7HjY9zdlDb/HxzseYN46w4zGkdYnGQCFNfQWkYwq2jI5N1XBiI883Gau/AWtePRZb3kn3cTwEYsQtr9LiWM9u2xCNFgsdFpPet8uhHMbkRC1XDJ3B4thMREQc4qt4lXt5SJ/FN7UbRtabJTRzv+XHuITRKZY9Rh4fzXyVg9SMLJtutPGdI9vwtB/FjL29cXsypEWZz666iS5XdpJRqib5ubmGem8j6aoz0UqXUDZ3Kmaei+ZQM9vu+TlNrdtpL4QjvlL6+r4Iw5E0p4UfZKImURKrpbq3jcLB/ShqjLC3joGCWQwUzCJlz4rba4LKlqpn6fQdoihaTW1gJpqosr72cSJaHsm2T4+00Zb3FqZlENOwgmHFPPZR89AT2TBxydC465WfUpwMgmBSe84ANk+WYAmIIs+4nNzl8xCURt8rm2GgCgK6MGzkCUKuAzVNikNgUaE7H/Th96s0YHLmDoMVe0yc6aytc/3532NAdiFisM/6MRxCGtWooE/9GBlzFpYx8v//PKKEsXbuR+/Zj9Z/ANQ4f59yFjXXb6Hek73/hS8ZKE+NNuAyEmyebCeVJ/OFv2x5v5rb+/gfifeSTPrWTR/n1YatXJsK8PlQmMZ6J11l2YgT206B9rUzCJR/fmR9d6QVRY1xoNrJE9N/Q6jst2gnaJnkB7tZuP3r7KgXME5w9gimwFmdZ+HUsrZZYX4Lk6dlSadYr4a9Bbr2fYmy/gP4glvxJI6TAqisYMPSpSOTNosAhZkSUrFS8sp3Iog64aOn4Bs6yOzddyAAplfkT5+7lrWFi1i/9YOojdC3PdteQ4H+H2UwhjOZDc1C+9qbSAWORTMZVFb/mYa/7Rl1DlFXBdvmfQVTUGgqU3h2kYXz42tZyjoOqnO4s+AiikMGn3rsLyzfuQ4BUF0izaeWM/n5HBlQc+YA8QmwZ5oX821sAVG14+hdQOygArVdUH9opAIegJZxsLP7Cl4XVlNmPcxVhT9HkVLHToGpTVH0fh+vSyto1keTStV0kKf3clvmKk6PZn9zGwLHqzGqSgRX/EUWblmPomloksKhiXM5NLmBPEsP5xvr6U3O50DiDOJGriiLVYhxuvc31Ni2jSzLAD2yzFarjZ6eUvTuInRTxJtIUTUYojQcR34Pg0INQSBps5FWFDRMTAQUHbyJ6Eil0+NxqKqOOy+5mh2TZ4z5bcme7Xzkmcdo6GwdtVyTJDZPm8Xr85aQLlc4LfkWYkbkoDKZVypOIWx3j1q/ql8lYRUY9I4lKMr6e7lizfOcvfENbGqWGNGtAobPRHPJGHYLXiGJERFRe0Wk9MnT63RRoadkEZ3lK0k4c46/fneKjnwVX8KLMyNgTxtU9O6joelJrGo3SQukFbBoYFXBlsk6gwR3EbvnruaXZ6+m3ecE00QwYkj6EKI2gKQNImqDSPogstqNpPW+7b0BUDRQpdFEzBicQNRYMyZXvWkwtd3khfki66cKaPLY7QvCJoYAqpz9ZCQwRGEUG7MinuDLwRB16viyDJDVeP1kSeHYNpomnjhEToiwKtesOOxf4QeNfrY6jvLL0vH1jJy6QXwcgnFFm8qlL0BRWOCvH8/woj9H0F33us7SAxKHSjWG3HDvamkM4SbrHnqrf5GrRgzk9XwPWW3G5r2BDu9pANjDT1PVtwaP8km21mazHCZ2buWOH/+S9opVHKm/bGT7sr71zOi4l+u+9guOFmYj3z9v3sYCfTMbt1xLUbSRT//kwffJpPfx78V7ZRzdde9V/No4QG1aY273lRzrNfwDCxBSQ2RijzCjo5+IS2XCgBtbMuuRaioT+NaHRJbuK2Bip2vMflVBpr00wuHKCL3+NMt7l1OUKmJT/nqcoRiT2l3kR6zYJJXVFQprIjeO2r7WupmV3tsJbhHHiMUegyVPJzhvETv1K8kcVygnI6U4mreVqYcOMLmvh5L+0ZUmVEXGPkVnwsRuRDn7HmmmyIaBKqqdQaqdYR50ujjU5OOy9ca4A3XYU0NLzXkE/O++2rMlHcAVb0FOtuMN78cd68GmZieU/0wsQ8gps3uCj531hexsKGcwrwABKz9uf5mrhnYwoNXRGp9La3Qug1IDpvgOhIRp4Ez04Ym14Eu34pIHkGZ1E10URHeM7mfi8RL6xFJ8tnb8wtA/0eoTDqmLGJ0TCDWewUB4Fie7AiIaRcoRyi37KLfso0RpRBHHJ/ZOhrho5/7S82lSzufy3nXMS7xEt7WQfxQt47GSJXTb85kbOcCS8G4Wh3czLXoYERPJMLCl06CDYQhgDEc+6aClJLSkhJoU0Q0Ppn0ipnc2eGZg4AeUk7ZHEnqJCjKHbIM02Vs5ZG+jydbGkBJ6x3ORDZPaKCgZhYLMBFaFF1OfqURAJG1GiehHMIUhdssF/N6yBHP4fa4TunnU8n3yhfErzUUNOx9Pf51NQi6VojLax21v/h63elxKgCgjl8xErliEYHFgxPox4/1o0T7SkW6EVABdNFElkQcazuKJ+hXZzUyDX77xO1xWlXWLFtHizTDk7CJo7yVqG59kTXZdjRaZDUB+eoA7X/05DvXkVnPYVcz+uhruO7WVQffYZ9M0ITNwOpngKWDYqBR6+F7eHwgFJ9ATrmRQNAg5IgQdQQYcIY7GLiYjWhEEgwV9+7jk6BuEnV6SE8uZmvcWvbLMX73uMVFismmiA6YgsLgvwxmvikzuhM+ediMec4glvXtY2bYffzJr+GoitBdCa7FAS4lAS7FAt19iwsAEJvUvYK+riq2ShGkq3CE+ynxjGknjVN5Nr2FqKQR5bETh225jGhjBFrS+/exdsRv3rKx32b5RJO/e3Lm+Nc3BphkL6PT3Yc908cRNm/+jBLjfx/8evJdk0uo/LcVIpzl9v4ebincTKxDZPSPrrBBSELj7o/QVLBm1jaQleK3hSfxDGwkVfoa185eN+v2bd/8OwzLI3ae0jpBJhmDFkAuoC0gsGBwuaGCaLFj0D2zWBNYDAsUvWkm2W1HUk6dLH5o4kV1z54x8VwvSVEzZxUShCYBYz3Q613+W6uZ/MKEtqxn5qyvO5fX6BBPSjXzl8W7K27J9TWyFTuTKrOc/NlBE94ar0NPTR6pR1afauOOMKmZteJ4r1zw/cszkTIPGVSt5SPgwOxokvpj4I3Mdb4z8Phicyq2OG+m15THt6CFuePJhZh8+OOo8XJVJHOfF2DPdk53gAnrGTrh1Ge6K7SiOIO8GWzOLudvycSKCb2RZnXmYm80f4RrWBjRNKD+4iv7OD/CY2EGBcnik2h6AQoZT9e0EwmfQmZnD8bPtlLWPyq4nmLFv75hjJ10y1XP78ZemEATICDKviFfS1ncBppbrpwcdnexytHKb5XbqjNy9NQ2IdtkYbHSTHjq5jaHKMv0FhXTm55Gxz0Ey7cjpHhyJHir6mvHF37lC7buBIQgkfTZsksGBCTO547QL2F/bMGa903ZtYvbBA3hjUbzxaPZvLIonHkU0DbZPb+C+Cy9jX9loQsqVNDhjZ4JpHdmx8kipwsZJNtqKx567Jxblojdf4eK1L+OPjj0/QxBIWG3EHM7sx+4g5nAScXoY8Fch4qM0UoYo5uYSfe4BnloUps8/L1cB7XiYGoIRRzTiiHoES3Intvh6RCNM9jW2oCoOECyYSIh6ENEcvyryyeBKmUzX01wei1Kpadzp87LGYX97MumfQNbRxUn394VAiA9EosRFEck0edztIiqKpESBlCCgGgLFAzA3oHJaYS7j4OEhP3+uK6TPf/K+SdJNLl1vcKhCxFEoMSfuJyzOZ4NrN62OnpNudwwTwxoffMZkcodA3Ar7q0DxZXj+FIndtqyGmmCaIxWNJUNGF8eSYJH8z5J2Lh61zBFvoXDgWxTm3cw2b7Y4jGvoL9QOHKJUv5yXp2WjjcqGurn/Wzexa8ZnCORnzRbTNBFIs9y9mXPPOR9tWHfsVvPLeMMpWjadzoB3Bz/5xnPvk0nv49+L98o4euH++7hv6FaOOuyc1Zkr51rQuww9tRc9vobTD7Syc8lE5kkXI73xk5F1vv1BiaYKgeW7CqjryXbAAWspnd5ybEUBNlRlJxaiKfK5trkYhpNN7jjbCrNel+KAg493ilzlPsCR1BLWhj9N2sx5JGxmiIl7H6AgkD1HT1WCeL8VPSUxlDeZw/WXk3CWvu35+Yf2U9H1BvmBA2NKUsp2ncIZEdQaG4+J59GrefBoBpdHTbQdz5A5wTbJ1KURKi5mh3wKccM35lhJyxHKjEES+kTSpv8drjwklAy97iZ63U0MOJuJKl3IhkHKcQk26VR8MQNfwsSbEPAkBVwpAYsmoosChqADOqKpI5kGsm4iCAKyLoNpfcdjnwz2giaKZj+C3T86HFxLugnuPJN04xSs6RhKJoRd6sGa34VU3I9QGkGvSGO6j7vGmgBJBSNtxcg40FQPquYlGasm3LIMPePmn4VgavjSreTL7RS62/AKPWBJ0Vrg5WBeJV3WYqpT3Xyo+xmcxuhBzDRlEvoKYvr5SEIQq7gPi7gfUWihL9NAZ2Ym7elZDGp1KEIStzSISxrCJWb/OsVBVD1BMpMk39JNrSuAJIzfD3dLMocsNg5ZbDQqFg5ZLIRlExOJjFxOUkoiaSfoRZkmbsOkSNco1XRKkyZFEQV3zIoSt5NK2gilbajG24cPd9jKebrkPIxh48dhpLgw04hXclIi9bLU/jil0gA2zUZHZhadgw0k26MY8Wb+MvUcduTPHtlXZaKDq9qfQhZEFNmJzV6ARVaxinFUQyapO0hnImTUIKoE6rBwZJ+lkEfLLh2J/pqYeQvKn6en4G1cqKZJQQTqek0m9JiU9OTzo1lfwxjex5d2PsJZbVtOuvn2eoHfnS+SsL+9kSVoIv6+as7fNciqg0HsajYCqC8P9tQI7KkR2F8tEB9vPybYVTd5yWI8qQICjm763dlwd2mYRDpmlE1LpzksKMxshWV7/UxrTeLLvLsUSgPo8UN7kcCgB1RvEbOc5zKTRYjjkEhaOgyRHoxoN0akByOa/V+2hMiflsRVbSNFPr/iMqKSlwoxQ5FoUKD5mJisQToJMRUu3UDvjKx2tNwtUPQjhX11DTy2rAC3XsKc7tNJSwmizs1869bv8cYb2Qni+2TS+/ifhPeSTPrQN05nxlErkilQ7xrkvMqDrFuWPxK927n2M8T654y7bXXbSxwoj/PLa3MRo9U9nfz2Z1/ju58S6HA4ydhnodoWIiqTyRDgyu1v4lGzY2XYrnLBjIfI/5WMpWP8d9ZEYCi/jO21QVbtTKDosHP2bJomT8LhCDJt+uvYbKP7oUj7Alq33kBYeJlB6/O8OZ0R7703bvL9+3RKQyb9P1DRXAKDm5ZwWKtBlyUK++MI2plUyCp/Oa2AnT6Rm+9/mlVbHkfAIKO4OPD5Gn5V/wHC+PiK/jPqpKYx7c4kfdyd+jLr/NkU5HkH9/LRpx9mamszhiAw8G0Vo0gfaZeRseD6Uz5afzEdE85n1vQU3TUbMP1bkaSx0SdD6UJut36eRmH8rqXSbOUWfoCXHBHR3nctMw6dyZ9SIazKPorQsabzsaT9uNQ8FosJPDYHKVUlYMr0SQP499xPUVfLuMfI3h8TaWEadZVKT7kFURJIZ2wMbP8gsY6FmKaOqfXgMLdh0/cxmLbhJcXU6ACebhUzOfa+ixYDs1Bib9FUDpZNJGaZy+S4l0JknKKAAUR0k4huEtdNbOkAYvQo9shR8iOteJIBnGoCyXz7EKe0KNOcV01zfh3NZRVEyi0U2ELkE8alJ7gws44ubxk/rfkYuzxT3nZfx+BIJlBlGVU5rgqhYTD5yDaKB3ehWdIYlhiejI/ioZmURGoZ9DrZNMnGgUrL2CgTLcOMpvXMaHwOWQsQcvuQDImEzc7B2ol0Fk9Bs1ZhSAVjCBRbKsmylj3ImfXsLHYxWHA5hvzOtvwomDqW1B5ssTexJHeOSdl6JxSETaa2mwx6BeZ6Enw+FMBxwnz/DbuNn+cVoaZrKIzVUhosprI/ydGCA2yrbyV8korN/ywmZjI83NU7okh0t9fNr/x5aHIRpujCkRjiwo0Bzttm4kqZwxUhs2RZv5jH4qUPoqpH8Q78ckw6XUHUz9n7L8CfriejOEfIukFHJzWHf8nrs1S2N2Sf9epMhgFZJjGcfunXdWKCQEYUcSRNyodMVu0xWb07e506p2f49ekW2u3ZloumiWnKmMMacscjY5tGuPBmEAQKgkMM5uUkHy48ejObyr9GvzW7zNv3YyYMxWmIr+LhBdnKkKKu89yXP8bGRT8ik9mGnmkEMwEYDPkKuPvqLwEgmDr38AH6OibSdmAyKxOHWf67J//tZNK/oprb+/gPRLBrHdP3lRNckpt4C4aMgISpD+JLpGgu9BHQbNxp7mVueR3zu1uQTJOLN1j46VUqb84epK1K5XN9H+aQNYwiRml05SbK1SmFj5v/wABqQxexM19EFw36/Am82iDEod62kWAiwMb4p5CUGgBSgo89Mz9DedcbTA8+QtniEMF0Ca/33ECvY7SxJuoJwspevOoMDCkXyRTIn0YgfxqW9BCFxmZc3REyohNNdqDKDrSEk9RRN4Yzj3zJhqKmeT0ZQ6qdjFiVQTJUNDHDkVIVw+KiODJ1TEnWfmcLaSlFRaQBKa8NT+Fj9NjK6UvPwgwXUhAQsGXGpqI4VAt1genUBbLGU0ZMkVJiuNJ5iEgcX9FhLN7p9xwUIYaTJoxYK5ahLgTRj24pI2MrJ+moRJftWNw9FM54AnfFzlHbGrpMoOkMAgfPxdBs4ILYiYFog8OfvSZWSw+6qKCrHkzdwrsp1Q4g6AlMrRtV7wEMRLkCUS5HEEdHVZiCTNBWT5B6jhx7ZBOgRWDQIxHySBx1i6wpvJbF8a2cG3qVQrMXmxjBJkZxyq9il15jUKvhcGoWbemr6VUnYzCagMuYboY0N0Na7bjtNTNpCHVQKB1kqmsLU137kY4TsyrTNcqSMVYmcxpD3ZY8drunsMfdQER0UZY6REV8HyWZQYo1nQJNZyDmY1+omK6kh7hmJQ78MwpOg4qf54rPHiGSrHqKS3qexK8GycgGu/NSvGwrYsjhozhspzyk4U0ewZInQ56PpZGNiJLONt88ADoclbxQtpKVQ28ikIB0O4wKDBuOKjouxUtH5NWi5SPeIJ8aYnX3AczecnryU3QXJOkqSKLoGhP6TOp6TCb0CEzoAYvhord4Ad0l89FLbHy4f5AX8wvpllXun7qcKbHtHKg22F0r0O8TKBsycSWhsUqgq+C4/HvDpGIQSoImJcFsSllxEIpDJoVhkMysxKgmZgUZtzUIvDlDpNvPiIHpTHvxJ8rISxaTlywhL1mML1GMTc95Lk0M3qx9CDO1n5hdp7M4iWiYXHlQoujoVG4+dBSbqpJ9QcZCF0WkcYSrRaA8ABUpP5ZJ56HYlyCc8L5HdZNDKZ1+zaSsdR11LU+PvG0xXwXl8xKUVvYPp4ZG2Wt4eTg9kVMyDhZKCkHPUb5W9WtspoU58clcHJrBxORMZCMX6m0L14z8r5XCmx+8hXsqtrH4cAUNQ/OHnzEHWuK4yjHv4338H0ZVaiaSmSVDjsQK2D1URn4wykBBdgxxVhwg1j8Hgwz9XjsFURXZGNYbqj4LqzHaUXP9s4/jSZmc+9Y0bv3wVzGlnK1QNxAZIZJMTJrzwuT/1Ialb3SfYQgSmYICWvyraKos4YlZfydhyfDmFImvPq4ze9cuqE+QP/sQsjx2oump2kqlamfw6PU8vXwhjtBfUdRsO8NOgR9eLfGNfRmqUknu7v8yHjWCp7gHlytAwFlB/boHKW87zBf3uHCl0nhiuagCixqjfWspUr3Oj8yb8Uu5qFEt6UG2Z6MZLPYQn7R+n5k9V3N78SVsnzKD7VNmMLPpIFP1fZxZ/A+swwLKhmrBf7uCo2kIGMIfbCQdnM6h8GlI3W4Wmq+SWGSQmWgiqOB6QcK5USX6FT8Myye6ElHyhwYRBZPewhI6rDX80Pwht/B98sm2sar4fu4tjqMPFjFxMESpEEKx78VqD+F0BBm0hRkQNayxCqyD5VRva0ZRQ8NSLAK6I5/+GZeT17sNKbad1EKdxGIdvVAErCMUvtWSomLJXwiXP0nfaz7koIFF1bCoGpNTAcqCUWTDxDyB9NfyFRwTqxFLppKhmulGDfNxoZgCjB/Qj2bohDUHIXcFoQIbjZKTXqmbtB5HSadxpTScGQNbxsCuGtgyJqIpMOD0sMdfT6uzmg57BXHZBXGYmmjlSvkVlkv7AJgY7GJFcCvP+5fzrZrP0+MuHr8hw0jYRzd0WvMhvvTg3dR3tWMArSWwtzo73qfFt2ixgT3l5JRtPmbsL2bH5Pk0Vy1CH47A1WQLO6euZOfUlSzat5MrXn2OuYf2D4+Nhwk7nuNwmcChCoXG6lIOVdUxWwvh0oLsk2Ps8NiI+a9HtY/WVRT0CIKZwRSdo9KhxkCQyNjnkLHPQdAj2OIbsMXXIas5jSVrxqQonCWOCsKQF1PwpGy4Um5enO9hYKaTZWkRVfbww3wfQ4qPgOLNVic0VGxGhkpDxWpksOZlEMt0+iZbqYrMolf/JJ3+Q9gjzyFr3W977Uc12zARTDAkAYthUJOxc1t/bIRsaLf4+GndF4k6ZmLI2dTMEPCUswlJepbzN+6ke5OfSGeK8iUBigjyxbZ7ubXuEwj2G1Giv0KV0gimwKzuVSzoOBfJlDk2NerzSmyvt1I1UMespgv4/DOPccuHs5XrbgmEmJTO8JzLyYDFz5+KV2FPh7EnO0laB1m1xxghkgAq9lm4tVfjm5cJtPolDEEAtDHkoYlMLO96EATmNO7l1jt+TlNZLT+5/tN0F5UwSy/maWuOXJrQmSRP8uFJxhENA0MUMSSJ3Q3zSSUex9RHZ8EM+QpH/i+iHwWNaDQfU5J5qmEly9/13fnX4f3IpLeBIAg24BbgGrJlegLAi8B3TNPsfLttx9mXD/gecAlQAvQCTwLfNU0zdJJtROALwMeAeiAGrB3e5uRCLP9cu94TT9uv7v4C/n8c5pVzZlM/kDWGJNWBf2g+6chDmPrYzkg0DAqiSYojcf50gU5rscnMwExqYjUj66wrXkf/cIWwjwQT3BgaZEAS+ZvHy9+9HkzBRDZN3mzrxD38LN8q1SAcLMcmzcViX455XElSm9hNkWMnbfEzEczjQlxNg7KeDdS1PINFjaGLFnqLF9JZcRpx5+hc9/cafc5WZNde5g+U0hw+TNqMg6kjIKFJYEj6sKdHQBAciFIZolSGJJUi8e60dP5LMHVsiQ7MTCtxsRPNGOBk1RMUp0rJ/Aj+if1j9IgibfMY2Hs5aqJg3G3/O7An+vFGjuILN+MNN+NI9CNgErZb6Hc7CLjshBx2DEsxolyZJZeUCgThvx51BSCSxgRM/nv7ORGmkcAlHqbetoNpzq345J53FYVsmhBU3ewINLA/NYGddbPZO3EyaYuF2q4BprX0UBKIZ4kEIUsgCkgIqGD0YhhdmPRjYBAVHTxaciFx2QkISKqFS3qfpST97jWPMrLCobqZbJ2wlDBOSGgIcY3FnRtZ1LsFARNNNOgoShJ2qiRsOimLTspikLbopBWDlCKApGPoFoxUBRP7MpTGkki6gKwLyIaApAsIpoYuqaiygE2chEefi1edNJIycTyi1iGO5O/kSMEOhhxdJ+UoBcPklP0mV7xlUBJ616c9gh4f7J40haT3TLyZiSddL08SKFMEJCFb/U/NHMVMdyLoIcqCCSyJNOiZbF4CwrARI6ALIu0FZRxqaOBIZQ1pm5PyQIiKYIiSSJT8WJK8VAZZkBEUB1LBRIQT0lRjukljSqdLHf1O17Q+iyW8jraiUhKF51PrCHOB/0cjv1+buYWAy49cXkG/zUVGyUDyWTQtW7XERCFY+lMe330PU4IOIuFFmK56jqz+HKac9TZWbrkFMVhPWxqOpg0yJoRsPXhdB/jcj378vmbS/1L8X7eZ3svIpIe/ez+u3lYGkm0MpbOlns9auo+eGVm7RE3k0fzsT3GEN6PoVirbn+Noww0jGiwm8NApDo6U25jY1sIff/rNEcHkR1efy+2XfTDbX5gml29/nYJ4lmwJiB1c/fQ28mI5D3/Q10B/4VwKB3ZQVtfF/ZVX88TER8nISQzBQdx3Gd7UNH62/RbkM+IjmbGmCS0tc5EKDlHtybkrBg+cy1P6Nbw2w4Z/8GWE1OMjaTlVaY3buyM8ZHyIqqlbKSpqHdkuFvBT+LyGd0uKcbJISMzXGfwwyMcJZoeOLqdvxzUo9W9QO/NRhOO0onoH5nKr+wsM2t1MMJu4hR9gJ+s9Ug0Lyt/KKdvaNeY4QZeHvOOqhrXWllDcP4Q9niXQ2vNL+MKlXyEZkxCTubYIpo7PlcBaLGCWK3zR/guK+a9pBQIIcbB2e3Aay5H1AqIlW0j4D77zhmRTJT1PSjjWiQjm2IHOAFIFVdhqV+EpW4xwEiFJ0zTQ+w+idm0F00QumYFcPH1U2rNIGIu4H1BIGbPJYJIhSdpMopopVCOFZiRJEqfdGaLFFSYshIkaEYJmCjsZZop9VEkJrAi4tDLc2gRS6hxkdRLlPZ28buzjrcmTCbm9RLz5BD0ewg4H6RPSwz3xKJ98/AHO3vTGuxIQPx5Rh5NnTlnNP1aezZBvrG1d39HKuetfo6q3m5KhAYqCQyh69v4bQjbNvLHSyktLL2H35PNGqhJmL6SKK/wMtuiz+NUUkwZ1ag8rVPY6EQQXA14nuye42N3QQCB/OWnb+PZy6UA7nlgUTbaTUawkrTaSNjtJq22U4Pl/F3lqGFWQiUl2rImdFA49TJpxUsZO0FU6EddEonxjKIhpwlDawV3WMzmo1NJSPIGukiqmtzRz0ZuvsHD/7jH3y1mcomJ5EE2R+GjlbczfXkJSjnA0fzcVoUkUJCpGrX+0WOaRU9yowzpO85uSfOOu79NUE+HZ1WEe68kNQZdN/Qa7xXZs8bcQTZ1PPm+was9JKixbDH51nszmycdd3+POW5fyUYwSrlrbzXlbBrAM91076yv4yhe/yh2HfsfHp/0QAFlX+fQ/7sDjnMqQM8JD81cTcmaJ/gtfephJLWPTWjfNOY11i84AYK65lZv4CVs2X4KasGMOCHz3Tz/4t0cm/cvJJEEQ5gMO0zTf/Jce6D3GsFG0BlgK9ADrgBpgIdkyvUtM0zx5iYHR+8onWymxATgKbAOmDX+OAItN0xw6YRsBeIRsUcXQcFsKgFPJFuBZaZrm5v/OOQ4f5z0xjn5328/5+ZSlTO9uZWFn1luvpH34gjNJBH+HyDuES5qQdrjA6cewWLL5t6bBQe9+RBNEA2bqMQ7mq2wvVNGOC0ldlEzxl94s4aSaCj8zP0tajTF51w4a+gQOTP0wMVfFyY5Mr6sZf9+jnLm1Y8z080C1g9fm1mMTFlMTmDFuash/FRGlk4zxBv5QBxntvyh+K9gQ5TJEuTwbgSMVIxyXk52tFxfNivVpQZTMELZEP7bEELoko4sihihhiBKaKGEKEoYokpZMVLMPzLfXFZKsOsVzBimYFhzRjTqGeL+N7g3FxPsciIaEU5VwqDI2TUYxrSRteUSd+aStPgTRBaIbpFyJ45FzMGKYegjTiGAaYUwjDFqIvEg3pcF+iiKJkQqB48EEInYrQYeVoNNG0GknbStDlIsRJD+ClI8o+hGkd1Hy4h1gmiqG1omhtqMbXWAIiKILQXQf98meqyA6xyU8RrfdAEFHJINFSGMhhSkYaAhkEDAMCQw7JnYiTivb6q3srLOStI7db35EZ3pbmuntGfyxsVEsmpBhwNVBn6uVPncb/a5W4tYwgi7gSTrIj+VRGPHiSXpxpdw4VDdWzYmILRv5Jdjoyfewe4KffTUOMsr45ybpGrZUAEHvxjTakNMHUNIHx6SPArgSJq5UNqJYYPivedx3Q8CXmUBpbAHl0TkoxrvX9Qna+mgu2MGRgh2E7MMRkKbJokMmV64zqBw/CGgUDCCjgG24ezMRGCiYRVv1mUTd1eNuIwtQqYhUW0W8/yJB+rdDTDdoShl0qtnqLY54L4KpE3flSs9OsD/NVMez2IUMHimBVcie4CGzmtvND2CXdWxGrk/XBI2XKl4iNUwWifIsplhP5aF9XwUgESll71IfMX/W41bYeA3+9rOy25omh7UAlZKDPZZuLv/Bdf/R1dzet5n+59pM7yWZ9PovP09V/yVYUWiJ7mV3YC02xyA1H2gbmZu1vPxtZr56P+5YdhKkSVYOTbyGvuKs9pEJhJwiTaUSZ6z/C/MP5tJ3/37hZRxYVUposJiVR/aNLF/xyssUD+Vy79srVhP0TWDKoQewqNkI2GcXSty7UiDhPpWE70oE0cmH+TOreHVkO12TaGxcTiBQiSBmmDD3aUoducj0w40ruCfvo7SVOHElIuj6FpTUHmyJJq6J1DOrYTdW6/jl68UoODaIONZJrCsXqRo0KFyoEzsrN26ZhkjfrqsYOliPntoGgoij2KRqxQYsztDIeql4Ac/oV3Ku5684yR4vg8L27Su57K61iJ5yLFMuQhUFxP5DaD27MBO5zr+jqJQvfOIm5m/fxDdfyFUQ3V44kZ/Nvwq7oSMJEnmZGDNDGykYjiowgWBVPrNW7iff9u50mP5pGGBtFLBvElG6BMKX62SmjB5HlWYB3/0ySm/2oTIlC0rlIqyTzke0n9wZaWbiqO0bSLeshfjoSAnRKuKuL8JZIWH39GGRctEymlFMRPsACWMF7zbqPSLFaLZ20mXpoyJTjNNwoJgycjqDcfBFhI4dKHpWNNpynKln9ak4Z6hotQpBxUtSsjI11owYMdnVN51gZ5qSoSD2zD83z1UlidfmL+WR08/naEXVSdcTDYOCUICSoQGKhwYoDAVZs2ApffmFo9ZbcGAXNz33FyoyXfTlCTxdZ+H1OpmkTcCmm1QOucmLVGDXa0H0Ud7fgybJ7K+byIaZ88hY/vvFMf6rkHQVZ2QzcvxRJOM4XcrjKpgdD2/ai1t10+3opiKp88PDafriPtriPuLaWOerM5XBH0/ij6XIjyWxnWDLOwrTVJ4aoMOczrOB72cPapqU964jLkfZMRGaC/pBKGPb9EsQ1QNYUnvA1DGRKQ1oiKkNfGwwxqKoTkJX6DCtPG33oOgisiYwoUfAFxfQRAFdFEkpArpkUNufJD+WxB9PIhsmz88XuG+lOEp0XDRMVu02ueJNA8G0MuSyE3DZMASBwkiCe8+Pcb2zmo9M/zEAeZFern7jWWRVQ80v4aWpC2kpzAYsLNu6hqXbs7IuknU2knU2gmDnySX57KvJ2rbnm09wWeZRNm+6AhD4/9h77zi7kvLM/1t10s237+0clXOcGWk0ESYwwAw5mcU2GLDXEWevw3odF69zXO9igzFgY8Bkk4YwzDA5a5Sz1OpW53TzvSdW/f64rW611NIExpj9eR59js7tE6pOrPPWU+/7vH3xQX7s1z72n4JMOgqs01r/PxVSJ4T4feC3aBo0r9RaV+eX/xLw58ADWuuXP8ey/gl4J/B54O1a63B++d8APwv8k9b6Ry7a573Ah4GTwM1a68n55W8BPgucBjaeL+u7OM8XxTh619/9BfevvJ7tY4NcM9x03XYaHXRVWnnG+Hs6ig4JNYBhrkRFM6hgkGZ+iSujFgs53VvjVG+VcurSUzVDwW/MFPiBRnMU6ax7DZ9z/yuRuZdXf/3rWGGIEiaH1r+R6a5bEBcw6K5RZDjxTRrqKAnPYOVkxHWnCqQbAWO5BAcGMkzmDDxL4VkKbabIB7tIhf0IHSIiDyP0sAKfmFejZ26GXLWIGbloYTCZyTDSmkcZNggTsECYzbCdYBwVnsUUNqa0saSNJRws2fzbjWoU/Smi5317TYTZhcBCqyYBAxEJM0NLS5zsQA2ndwZpBxhzvRjTqzHnViAjBykEAokQEoFA0yT09Pl/WqEMA2UYBFaAu+JB5KqHEdZSwqlRiTNycBWl0wkMt4GlTeJmmoSRJm6mSJhpYkaKSId4UR0/auCpBl5Ub84VhFigAwxcLGFgysVrYxoxDCeNZ0lmbJ+SrWgtFukZHaNvdIR05dnTzjcsg5pjYyiFFSmsKEIqEzfRSS3RST3RRSPeRmAl56cUgZUiMpZ+DIWOSFaGsBqD1MQwx7pGGOpymWh1KSVDBJCrJuiopMlXHEI8JloqjLTVkVh0VVbTW1pPb2kdbbX+501WamC43eSJdTGO91qXxP1fDj2zIVuHPLac80m5l/8GuEYNSzkYV2i+G7bg4AqbfascJnMvrJlP111WjA/SOneAeGOEVeMzbDs1zcaRGiDw7QyNeBuNeDuNWGvzd6yNRqKDwLpUuB/A9mbJzT5BKIpMt1+FMNdflrybiQ8S6YfZs+9pVk9c1C4JjZ0OidKKSkYzkjM5nrc52mFxJK9oGIp1owbXDV5DS3QHfuxSd3zHnaMrKtOfSJDLdCKN7/3nsKYiTriac76e96rT9JkPcmv4QXyd4Fvmb1GI+he2vyn9YXYkv7KkjH/kbQyzPDE/lBpa0LEDuGn8Fn41+DaroubI/8lVCYb7m6EIqbHr6D30k0v211pzWNR49R/d+Z/aM+klm+n712Z6McmkL/7e59nVWOx0+pHLoeJDyNu/QLyj6eVT2nsLG//hkYU+m2vBN6/dzmT/z7BiKsSIAlQ4jjTa0UacVPk4G099lWzpNALIbOvha5vWMSqb3kzdo6O87MFmBrfIhqHbdhOuPclQ6yxX7dMkpgSyKDAKgqe6N/D77/oNDCfg5/hztrI4Yu5XIff3ae7d9mr8WLOTY5oeO7Z+lcQFHkr/OuNwZixLZ0kw3JmjnBL8hGywoevskmsRNCysZfRZtIbDriQewpr0BQMgNcnBJ3+ap+e6GZYFqlaaNn+GLaVD0HmWPbsj2tqWSbkORMrksaM/xjVfGSVl2KzcdAeG1TyHYPQp3Cc/xIIHtpXgq5tfwf9ZdSMagx86+g1++Pi3Fsr6wpqb+eC2Nyz8LbXmNaVRWhoPc7pnksn2IvXWGu9o8+m1TSq6k9Zylu5aK0bFQs5FiJk6taHTJCsF/JWaYKXGW60Ju/VlHT6sUo70qc0kT66FU8eJxvfBvK3W2KMovTXiglwyEAqyjw6QO34rds/1CPPSTn09rDDlDuPNnSQ+cpDs9ChCaxrxNmqJLuxuaGudojU7Rkt88lk9pitRH0PuD1OLricuBQkpsJv5R1AaSrLOwcRJDqaOcyh5gpHYswslA9ihRdYz6NQNukWDfBTRFkW0RhFppRm0TI7aNsccm3HTBK3pn4GtZzUbR/RChjRDaYxo/reWSGUhtUMlmWQsH2Mip5jI1pnM91BvuZOja3Y8p+O7EB1zM/zMZ/6Jm/c9iWsZTKebnlSZhkdLvcFQp+bgSsHBlYITvc3MaIG1Ei95HW7yRrTRQtfMFMlGnVo8wURbx3Oq1wp8stUKcbeG5bs4Xp2EWyPRqBN3awitCQ2TyDAJTROBJKYVMRReIs79m/bgXfSMyChi57En2H3gm6Sqo5zpFhRSAt8EELT4WTYUYqwdLBL5ikIyRtV5/iSYg6LF80gXGliRwg4jUkmPgR1zPOm9h8naVnqHPsZwxwhKSRKuwcm+1ZzpSpKpjNJSjchXDNAGhjKQy3jlPV8IrcnWPVqrDTy7wYdeHTDVornhiM3LD8UJhMNcMka0TIY4tObM7qv43K63AmDX99Ey/RfsmryGgcYKnli5ib0rmlm8N548wOvu/TesxCsx7KYAvSTkg3fkGc83zYEf13/L1tkTHDnctI1yG5/k5//LfwIB7nnDaL3W+rlR1N8HEEJYwBTQAlyttX7movX7ge3ALq31089SVhcwCkRA/3kDZ36dA5wD8kDvResOA5uBN2mtv3hRmf8GvB54q9b6cy/wNBfqeTGMo1/+s49y31WtbDwxwfrJZuchXu1niz/DB3s/Q+gMcNexn266ICujSUyEI6jgFJF/GvQiARAYiqGuOqd7a4y3ugvsd+ec5i2PKHwTnlhnYntZNpxL8RMr9pOysoS6l8PuLcyF6+mdPk08CBGGjTIs5rJZhJHCNNtQSKr+NCX3GJVghkpQoBYW0ehmyk3Nc+6Un4ctY7Q6PfSLTvJWG6HlEFk2BgZCSKQwkMzPhdEkkIS9hNy6GArFrJhmWI4xbAxzTowwpUbRkY9UBmZkkmpY5BsJ8n6apEjhGAliMkHCypK2W4h1VNBdg9TbD+Gnl48yEMokXlxHYnYTibktxMorEfOvq0YT2WWC+AxBbJYgPkMYn6HSvpcoVlxSjuG2kD/9OszhnbjKxzYSJGQC+woZyS4HrfUVr82FCAmZERWGbZ8TKcGo4ZIaO8Gm08fYPHiSpHv5LBDPF5E0Cc0kvpVCGTbJ2jhmtJhVQwk42QMHVgkOrJKMtEItxnPKmGGHcXrKa+bJpfXkG5cXha/EBCd7bJ5auzyBY4UR64fHSDYqnOntZmYZl+3zyFUarJiCgZmI/pmQXFVdUaGqYQlmMgYzGcnZToujffZCSvol5xNotgx7GApm0wYzGYNK4spkmYw0G0d9rj7tsXIqxAwbaGmi5HN7hoywQcf0M3RNPE5L6fQSbyfPzjDVfhXjnbuoZpopqB3R9BSqzfdTzKBK98Tj9Iw9RKIxxdGBVXxx2614LQlaZJ00DWLaxdARQklEmCLhtdFSG8DWTlOBTDTD1iSQrZ2juzJIpn0DRrb30gMGwunjeNUpZjqvASOGIcAQYEcFwpjAEOYCuQssEEFcMI+EJiAkICIUEQHR/N8K4WdQjRxT4WKQamQ0qGSP02Mf4T18BoBalOMLc++ndEEK65dnPsDWxDcB2Mdmvsirlhy7UlAgTlnF6DJKPNL7LYpOEYCcl+Nnxnp5O81sTEda1jK+vbnOr3Rg3PuHDMRDUheEih6NTvGKP3n3f+psbi/ZTN+/NtOLSSb95R99iFtLfbTppWT4aP+/Ut10NwDhZJbGJ/sZGB5mLuHyD69u5Ybx38bRJl3yHKcLd6NVFTCQ9jpMezvC7CVTPUffyH0Ihrn/1kX+7rZ7v0W6Y4bKHkFje4RpXVkoWbuSuh0jKRc9iJKlJNajcZ4a6qDkxGgMrEebzfbZsuvs3P51Yol5QkmB+zmT2RGDTCrCfquNk1ssS0eCzNFXkh19PXe3fZX23uO0t5/FMC7vaWyOCfIfMLk3eQ0f2P4W3nn0G9w0c5on8iv58Ja76LciXi0km/q/g73ubsQFGoRaSUYf+SmqYztJSNiTgpJRxsLArM4Re/Sj6GozrbqIZXn45l/gfybTCLOMViYiivEbT36cm8cOLJT5VzvfxiM9W4kHHlOJHAjBCi34sfpZTuRPMata2DqSo3dmhpXuGLHqKKo82gxfXgaeaXCku5V61qa8OU+mo0Z3apREqoYzK0mOGSRcRdwKSZp1MtRRNUF13KEqUgyJ3aRia/BuOkr1Iu1Kq9ZJ55EfIVFcD0FEqTbOVOkAc9VB/CCixU+D2Uot0U092UU92YZ0XF6W+jCb7Ieu+KzUohwxWcYQS+/dZLCWxyo/xGC4kfHMIKOZE4xlTzKdHLlExPh7hWyjk+7yerqqG8k31iFEjMBoJqXRYvGwEm6DvqkJrChiLB/nsU1tTLZYFJMGhXQSfZmwMiMKeeN3vsrrvvNVGqbFdCZBJX4Rgac1mcZ5r5wGKc/ldLfmyApBIQV1R1JJrCS0NrPn2CQ7xo4wtLKHIz0bEK4iVvOJuy4Jt0HCbZBsNEi5DWzfYzbpMJdeXo/JiBSRFJe1SWN+iDYcHtp1E4/vuIFGLHnJNp1To6TqFRyvQcxvEPNcYl6j+ff8FHcbxNw6Mb+xqOc4f85JP6CQcHDt5983aJbDc5VR/XeBUKrpIHWZ0NCL8a2bXsu+rc0sb9tOP0Ws+FGuKu9ByjQnOvq4d1NTN7Jjdpr/+o0q2sxytP+b4O/gFaUhfuHOVxFYzRP+Pf3r2EMOQ0NNvd+ZAZO/fe//eIlM+n6EEOJW4F7gtNZ67TLrfwv4feD3tNa/+yxlvQf4R+DbWutXLLP+w8B7gfdorT86v2wVTdfuBpDVWgcX7fNO4J+Aj2mt3/18z++isl4U4+jX3v+b1K41aT3qIgrNRixVXsON4lE+3H0PI8LmVjPGdS1F/A5JI+hgrryOudMbma71caojxck2KMQSKKuKIY9hB8ewvBNIVeXqk4qf/bIinViFkelDpjqJWnoR2S5idpbvVkte6YhqUKQSzFENi7hRDS+q40b1eY+Z5u9o/lZkrFbanF5aY720Ob1k7NZnqeHFg6pOooMGOGmEk0ZeILSp0VQ79lLpfJJa20GU9Xxkl5uQQRynMjBPIs2ijSt7kMkgTv7sa8gN3YFUL66G0AtFBEzFBA0DIhVgejVi9TLxagHLqxPqgEhHzVEyIdDzRoQSAoVASdE0LLRCoVA6IkKhzv+vFVpHRF4FP6jgB2WCsI7Qaj4cq0lKOkGIE4YoGeBbIQ0npJRUFFOCYkLSME0iUxPK5vZSGxjawIhMnCBG0rWJexIrNJlsW8HgwHpOD6xjsn15oilbmuPqw4+x7djTOH7TY6yc8BnpjHN65XZGe66lku5fdt/zSNV9+md8euckbeWIUlIyPU8ezaQl1cSV37UVI2e55vCTbDp5ADPysSKBrWNIow03OcB4+womWjuZymUYazU507m8R1W+EnH1aY9N53wyDYW83KdKK/JzR+mafJz2mQMY6uIRboFI5JHp7oVJZPuRqW4Ms/nueEozHWqmQsV0oHE1KDlNNT2DG5tBagMzTGIECZJhmm6dpVMkaDcNUi8gVE15FcLhR/DPPoiuNUPsqokOnr76F4nMxXDLSuYk7nKpbbVCExIRogkxFcQih7hysISNqW2MsAO/3olWSw22yJ5GiWNU/BolbbEzeZzt9mkIoe7nOeT9FB6LmWdi9rdxzXOU/DheqJkUOQ7H1hAiiaumALqpAibjHQQt06iBf1rYd/f0Nfxx9X7mGtt4MPwBVr3mdxbWfXTvLYypEV4z+l5ui3URQ/AX6x7hgz/6a9z7Epn0ks30fWgzvZhk0mf+8Xf4l4Eu3nQu4mWnNmBFTe8YLznK2Rt/c2G7xx97C6rk8m+r7mODex0btaBtpExtZHkPXCHzGM42DHszldwxvHiJlpZJ+lNHyXWOLvVYeZ4IRvsY/HYr9UbTJkiaLXSk1jKYg8p8hHEsVmH7jm/gOPODOAEkH5JUX6YRxmIj7lazrDnw86SqTWL/sHGOR60TmKZHZ+dpBtoOYmaX2h6FYcmav7GoyhjVmE1hVTex1CosnaQhZ7Esj5TRSqxikZyYQmaOMfcD483ssBEkP27TmGtnsncVtVwffWxkkxpAXtApDGZP4o88ztM7WvnMijEKsVPMyhIGgquj1awrr+S2zz5KZqbpDa8FuBsjdAZ806DiJKg7NpanaZ/wiJ0LsCqXJ8eMtg1YK25CpruJgkn8jkG85BCN5FmCZB3DirhqtET8CqH8F2M0neBUfwo/o9EmS5J6KA0FtwXPt0nhkxIejoqwlG4KsEuoGxZ1YaN92HVmlCDwGDJNDKA/CBkIQ7Q0mHLSFGSKahAnrNrEwoCB2DTdYo6SlOyNOTwdc9gbczhi2/MCxpdHQjW94iOhidCEzKeb/y6QCyO2ViLWFE1kcTX12i5s3Y8USQyRwhDO/P3X2KJOUs6RNOaWzB0xh0kRqSsE2qIcdWKbRRopzXi8g7F4B0O6h8GgF8d12Xb8aSy3hHqex55ueGQaPq5lUHMsXMt8TgORzwqtyQcWm+31tCdXo0KXmeppzqgRxm3/snX4psWhDVfz1I4bKWWeZza6CxBzG6TrNVq8iBwxel3Jmw+exvOmeTwfUnGnyM9OkKxXXnAdV4JUGkeHJC2fcirD6fgK1o0O0zc71fRQU4qxti4++crXU0ukCE2LtsIUA6NnGBg9Q8x3n72SZk0Isxtp9gEa5R1F6wqfuetdnB1oamfe+vBX2XXwUeoD64mSGaZTWT53za0AmKHm1z5f4JAV8o1E8xP2seT/5u03LWY//5D+YT4z+A5O+BvxzBgvO/Iof/2X7/8PJ5P+n3Kj/h7ivD/j3sus33vRdt9tWe+9qKzzvw9dbBS9gPq/J7gjDHm3eANv9B6ijeZHVkY2bbEh+ozXMFlez4FCjWOuz3hLKxNteUo6RWRIhBMhZjTMgMDHwEazHTd+FW5C8pMH7+HtBR/r5puQqStndHihkMIgY7c+Kynk64gIiIsX186PdEigfELlEeqQpJnFksu7iF7uGvjxaSY3f4R66+V1RmU1jx4fwK9aiPZxjM5JhLX0EVNWg0b++HM4aANr8FoyQ68mFXUhryBGHWlFXdVohGXcoIwb1ZDCwDHi2DKOY8RxZBzbSGAsc21DFRBqn0B5hMon0AFxI0naWv4DZwDdC+FbJpCFWBZiVyZSvhu4RBxOeBzIaI5kDYYyDlHko/0qZuhhhT5mGGD7PnHfI+65mGGAiEKEjjCiACvwscLm3IhCzvX0cWZgPUO9a/Cdy+sBrRg5xdUHH2X18IlLRAwzdZvNgxGbB59Bqqfx4jmOr93GU1t2MZ2/VOSxmrA5OmBz9PJSAZcg0aiy5fgzbDv2NK3Fpt6EbzaNkSZCYALDH6P/5HfY8YxLru7hqBRjnav5+nU38J2rtlBMX5BBMW1wz84E9+xMIJQm3VAkXIUThMQaZRL1GXpLBVqU4OTqFKH9Wnz7bbhOjLptU3NsKo6FbxggBGL+uggWB7UEkArgrrGA148G9NnNTkU50kwFnUzVOpiratqFoM0StJuSjPPCjbsnHc2/JSIORB69soeV6ZvpLs8wmWnlvs3XImMZ3n5Kk5nvQ6XL63h6xRaOr7CIu4q4q3A8MH2NESicSoHW2ZOYYYOGnaAWS2DrBGtLMfJ+AoSxYCeWLPhaJwzTgqjvRsSb1+Oz3NAc6TOAOGRtwTuqmlTUQIVDlGsBjUih9BxJ5bGOMdaxfGd6fLqT494Gzq0+QWRo9ueO8IHSr9Ja2gBoIi+BMa+TUut9jJ1Hb8er3c99IzO0WCnys2ua0skv4f81vGQzPU9UE2d4zHgTj63Q5FM+33zmW6Bejl3rwaq3EySaOjX51hEm/PXYpVdybGI7A9P3UAsuH8qt1Rxh4zsYme/QuwXa24ew54mdi/l4Edqkp67B8FrwnCnq9jhRrIBMNC5JpHF2fx/Fx1IkzBgbsjsZSG4k7zQHNXajecY/zV5rCNdNc+jg7Wzf8U0sywcLarcu9XadObeF3cffh31BxsdNUS9HjVGKIYyObsYf3s1qMUh99ZPYrXWmzuQpPN1GsGMF7bF+emJ9bLG7lhBBU41hjs89wXBwnJmeVs46dzD2WBdrugcZn+0i7viszg9zbZjjZcENxM3kJR4OVus6rNZ1XKc94sMHuDdV56lcFddRHIoGqciQ1J1b2fOoj2O3YyY7SabaCdoUFWuYYOQM7XuPky9eIdzeSmIOXI+x+lbs5GKoo8EAtt5NqgpUYZqANrGfwDgC4iwCH5Doha+YvGAOAg8hanSUahhlk98N3sZ3xEbevO4r3D7wIABSQGu8SMFbzejB99DR6KIfSTcSc/5iBEREIkKJiIaIiIhoExFVo84+a5avx2cYlzXGRMi4loxJmzCRQRg+KjZCKn6KhOmRiVJkwxQtXopX11PELxhs1GiUslF+K8pvJfJb0SqJuuA57WGaO+STDBgThEIRoqiYs8xYkzxqJPiG3MiQTCGMCqasENMNMqUMLeUMPdWQzY0plAeesrBlnISZJq0H8dWxpii4DvCEQc1IUDcTuGYMgSKmPJzIw4l87MjH1BbQPj+dx4UhZ9N0ME0H+xeWXEgkJYw0HfEBMok1xMwUvjfCrDtN0Z+kEizqEFXizqUeTN8FCnYLjfwetiQ38DIVw7ngYe/jGvqAMeUy3BijUD1GtXEUdUEUsB0GXH34cXYeeZJTa6/m8R03MtHWvkxNV4Ybi+PG4lyovPX1/h38ziGXn5gMmTAVT3ZHHNRVJt0hHHeSuHKJhw1WlSfJa42005h2GkfGMaVNyZ9mxp0gFngk/KBpFwYRsSBEaYOs2yAWhjhBhKma7Y/M9BL1beL29s3EU+tQ3mnCuZM8bdr8ydp34Q3baAkYgikGOCL7kT030+bP0ueOsrNwmGxYXAhnE0pj6BRhcguWOYA0u2k66TahYzfSN/hRapmWhWUt5fOZi5vbtdQX24nQFFQTkjGtiAPdVPHTi/vm9CwJGvQMbmZFmCKJoPQfqKd1IV4ik5bH+W7U5bKPjFy03Ytd1otZ//cEX+6OY357mpRTX/g4S+WQN4fIzbZzMByAGM0J5jNcKyTLu1kbwMvKHj83Mkt7112IniuTN1pramGJSjBHI6oQqqbnSaRDlA6JLphMYZO2cqStPGkrT9LMPueQKvsKJJIb1ZhxR5n1xvCjRtOLRTe9WpSOFjxclI4IdUCgvHkCyUexdNRJIEhZOXJ2J3mnixa7k5zThS0v/dBoFIX+bzOz7rNoc6l+kY4E7kSW4lCcwlACv2zTzMnuAWmQKRLtDdK9NdK9dRKddeQypxh5Er9iNaeqhVe2KQ2mCWpF4FMAmMImaWZwrBaw8sigiBeWaUQV3Oi5e0iZwsYx4mj0PHkUNIWoL7Nt1m4nZ3fQMj9l7XbM5xgW9UKhgeGE4HDWWJiOZyTBsuGRL34WO4DOesD1k3Vee7bMyopAcz26+zqY17hCa9yoztnqYUbrJ9E0U5BaXomthx9iy+GHKKXzjHSvYKR7BaNdA8zlnltMvu25tBWn6SlV2TY2wdXjs6REHEfuwGlPEDMSOEYSW8ZwoyrlYI5KMEvZn6MSm+V0poDSEVJpEt4I1z/2SbY/meDxTdfy5I5rmevpXDJapqWgnDQoJw3AAuJAJ89c7gCfJw7kDP5xjc27Bn3eOBKQQZAxDC5xsbgClFZEOiTUIYGOCFB4WuOiGYzKPOxPMqEDImHQIQwawuBQuov9mV6qZorqrECJOv/qCN4e2GR002C55aCPOFnjhBUxJTWpsMLa+mnW1k7T5U1d9ngWWgIRwzUSjNlZ+rwcKauFgt1CwWrBv6A9MVRItzfBQGOESv0cVrAoQvtczdtub5Luk+Cd7eNUb5V6ppfW6Q3nD4RasY9MZ1NTb6PRief04PW5eL1t1CpFWooTL85I7Ev4XuMlm+l54r65LVhTc8gZj7qvOGXcy1hxLVvjBt7MWuTAPJmUH2FifD3vLq9irVdm1ulhRmtqYZFZK8c97beRCcvcVf0OJnVa1pXJrysRb10+eYYKBXpsgN65u0jPXIVUl3ZGfNVgPDrEhDxMSZ6FWpJO7xp2dW+kNXZpdluB4Gq1ll6/nXutg9TqOQ4fuo1t2+/BMBY7p54XZ+TYrdw2+UZsmvWWowb3emPsNFJcL9dzt91s1aeNGlv8W9l85G2MN06zysyR7W6/oq3WER+gIz5A2Z/lePlJeqaeRukI+3hIaEjSTifXtN1B+0WDSpWgQKRDWuzFjrItHHbr3eyu7KY8O0s5mCFttZKyWjCECVsvqjyAlmAD5MG/qUaleJJg+ghy7CCxyizHc/0Ueq6mu2sHG1M9WM8hRKYdC/QuyuGuZ912OfwP4DdRVI+9h9LUHtytHyaaFwPPtZwhf/376TjxX8iO3IK4gGiwMLC0cQn72BHmWe0tr5lXlGU8PFKl60jqxLLbPH8MgBpYCEMHSPjNl7hHh9wRlKiGBar+HLVwjlpQwjZiJM0sSTNDIpNd+G0uMzirtCJQLr7yFuZaa6SQzWlBpmLxd6h8qmGRalBYnAcF6tGiV03SzNIe66c9toLW+Eqy5kW6jk4/zDsgR8ql5E8x401R9KcoB3PY0iFmJHGMBHEjSVIkSIg4jpHENBxcv8y4qlESc3RwgEowRSOqM6vSnIq6KTs9dGav4RVmK2uFwWXMZwB6ZIye5GpIrsbXd3IyKpP3z5J1LUwzjWGnkXYaERrop+FwtsbZpKRgQikqU43KlPEom4rZRIqJ1jZisZCimSGQl6cYGqbg13fGec9pj5885fM6JXkdOZTTwpCjsBG0IEi2X/5914FLNHuScPooUfEos16dT6+7jW+svJ64X+cVI3t5T/kUTst2zO6dyORFRFj3ThzgOq35cxFxgIgDKuKQCjlP8WghmXbamXbaeSa7kzdUH+A9J75M0exlvO/NzMkNS4iUglSUpGZlaCCEoNj2cubSi4PeW4wdvLL/dr7kHKCKi6UiOhohU/FmKSt7bN45fb4TluETzi8s7NvLCFatk/eFi32Kb3Q+u/bw9wIvkUnL4/ybv3yqCahdtN2LXdaLWT+woCewHNbUarUFF7kXioKuI1HExKLhYEaSjFFgayD4r+4sW2Iz5FYcJCoMMDWzhREjyZRhU0JTRFFEgwy5UcV4vTJosyxoXep5orRmPJjF88aoBHMLUzUsonRE3AvI1xp4lslwpg2TAHvZgcpFSGGQMnMLBFPSzOIYiQX9oebvpfHHWusmM+6NNid3lFpYfMHXryEdClaOgtVC1UnS4paanbraUYZri6lgk2YLObsTKSRuVCNKztJ64zES3UtHwUpDSeaOt1AZSaKCS9mhQJh40sGXNhNFC6/s4B+3UZYk11kkkWrg1y38skVYMZGewlEejvJxlIe1jIZpqH1KwQxc0Am97PkaFr40muNqWiPQCK3n/1bUVZVIGHgyhm+m8aWNLy18YeNLm0BamDokFdZIhVVS9aMkKs/Mj9cJUlaeuJHEFBaGtDCFhSktpDARhgMyDjJGhEBLiARoqVFCoaRCGc0sakJoDKExhGAuluB4Ps+JXAtHcxnKL0Bc8LuBHWmuLkRcPxNy40zEipqaF5RuuWJvvze5Di+ocLpygFPV/TTmjR4BtFTmaKnMsfVE04BvOHHGOgcY7WpO5XSObKVAvjBFe2GWVTXNFjfJerpodboxRAvQB1fwgE6Y6YUR7PNQWlEPS/MkU3OSQYE9o0fZPvwEpXQLBzbu4sj6nZQvGJn598RUTPJnm2J8ZLXNOwd93jISEL9MZEE9rDDVGGLSHWLaPUcjrF5CCF+MDfPT5RAhKdg5Zqw8B61WtoedpIwOECleVmtwY3CCyD+Bjiae34lpl1josjqcYzWDS1bVjASFeB5lSLrLY8u+18sWCbhWjIaTwI0nMKOAjrnFFNhOINlyNgNU8M1PYzjbqSa6mDIneNn8Ntkowwcq20DQfM9immu6T/Ktb34D12saSC/0u1SrPf/w3pfwXeH/VzbTv7e9BOCPSoxoUc/vuHczIR18u7wXOZdk6zztlcuNI2XApDnH7ZmbWcdOACrK4xkhiJlFbun6Z1LdJynkrGXJWKUElXNJGoNdbK69g3ZrzZL1kW5+487DlnFWyN2sYDeRjjBSxmWvXCXSxCRYQtCps7zZ38ND1jEGK3Dk8C1s2nw/phkwMz3A8ImbeE39ZmLzRNKIH3GgYSL0AF83FKelx9UyS80sAfCEdYoVqp2+5OVbzkAF1JUie4FgcMZuZXfbq9mWu5mT5b0MVY+wJXMNazNXL/FkClXA8bmHmR59AM9QqNYB1iV3MpDcjG3ElpT3fKQMbDNJa9tOaNsJm6DgT7NaGLQu40mttWa8cYbR+kmSZpbc/MBhzHhxCBmBJA2k57YSPfJ+pjZ+nHLPo826TY/JzR+j2v4MXYffi+m3vOB6WtR3nw33+cAUJnm7lbzdCi/wUkkhF2z954Occ2l0QKRDakEJQ9okzfRzLsuQMfKxAfKx585z204Li1f7RgBCHTAbSXYoQYclMJdpBwoovk6AjeBaDPovyrZnC8EWMwvmjmWvqQC2lhRbS+fZqQQXbjimfdqNR0kRw1VX0zCgZAlKlqBsCeYseDim+daaOOF8tt+PrHE4njH4gwMN0iFIBKueYxZAYcUwu7Zhdm0DQGvFG0PNK32wrCz9615DSjw7zWELwU5Mds5TIgrNORRnUQxpxZRWzEWaqtLMmrfx1MY1eP7SoUYfzaOxkKedkNZIsLLaPIfp7rVEFyRcebVYRcwE74IM5yuqi2TSYFJy8/SiLTmYXGyvehghVl61pN6xcoZ77713weZ5Id+mF8NeeolMWh7n38LLqXQ8n6HTF1LWs+3zfYe+Qx7r00s7U7cnLSb9T7EBWB9TnLjhI+xLtdDPPlaPn+C6Y+/EDC4K3TnfRl00aFMPypyuHuRs9QD1sLxknUDR5dboqZeI76ih0nAiWMnjLbsZr3RQrSdJRXXSYZVUWCUTlmkJSmSDEi1hCVNHlIMZylcgQQRyIRSr6WI5Q6gXGWFfmEzFegg6bVoHCkTaoFZLUK/HcKsxvLqFGUXYKsDUATUjSdHJYLRoUrkandkZ+lJj7E7vpz0+Rz2Icaq4itGZbhrjMZzxBl21KWphsUlaCU37tjl6d08jzcXHJGwYjDzcyehwF5VYlnI2Q9lJU7EzVKwMZTtNxUw1PRI0zXQpmmYg/QV/i3pTC4AWATnmPanFfIyQwFI+Ob9A3p2j1Zsj35gj35gl65aWPNAKQTEZYzYtKWRcipk5CpkKDSd6Tm+R1gKl8yjVTqTaUTrd/K3bkXIWyziCZQxhyGmEgoRnkHANku4UUgk8K8K1JFVzHSVnD9XMTkTcRsdMtBSISCFCjQwVIlIQKkSkEaFqXg7HRMUMVMxEW8/+gRNKk28E9FZDNpUi1rsGSIFrCFwpcA2avw1oXDBvzC+vLyxvrutwNdfPhNwwE3JNIbosufFscKw0m/M3sjF/AyfVOKcqe6nMHb7kFsS9BitGTtE3PoRpJknZ7bQnVtJj9dArN2IKuehd+F1ACknKypGycsDSjk2oAqpBgTuH5qieeopkooeoZYDJuGQ8LpmICcZjkom4YCIm8aQm7SnifkgiCLH986GCLjJ00WENzy1gezXiXgNnXvhUA1oIBgfWc3DjNQsf/FlH8lcbY/zjKoMfPOvzjnMKw68z1Rhmyh1isjFENVxM9RwhEejnmYfvUhgo2vxZ2vxZmgmpznsX2Vwp86WQOYTZBcpF6zpaN9CqjuDZiaFkVCdZvVz/G+pOijgrsI0BhJFByThf3tPK4ZXZS8RHO6dH2XGkqZVlh4vHq8IRVDhCFCmKBQXzfbIVmWaihqYTnSBEMNKTn8909/0x2vYSnjNespmeJ9JujfO5KYTWNBpbMNE02m2CSidhaGGaAVIqWnITlIpdDMafodvRBIkJ/MQkKxKTdKXPEZgeBS4d3CiX2pmcXEXhqYjN1o3cmNmJaS2+tw2l2VsPOa0UXbZghWmwypDYF3RElws7r0Sa0UAx7CseM0NKhuIt0mG3aeAIi9uCrRxXYzxakDz5xJswTJ+okeU1/jVkdJxAa/bXI0aDxdvVHUm6a3GOsI58+mkMNHXhsd88y65w8RtRIOIQimS5QIkcJaVQ0qdVSNY5Bt2WWPBeihlJtuVuZlvu5kvOYbx2mmfqZ6iaK7FX/CquWWU4e4x7E08R8DX2VK7jVcEq8hcRb9AkgKpRiUpQpBZUKYc1HCnpjHXT6vQsIawAcvaloUGNsMpg9SBnKvuphaVL1seNNDmnk7zdRc7pXAjp11ovTcBwwd+mtLCkgyWdpvfURTDCJN2HfgJrYiNzWz+FtptkZq39ACeu+xVm93ejGjbKtyC0ILDRvgWhDYFNzEqQTDgkExaxhIEdF5ixCGXXiazmgKbl5rHcVky3FVnPEjYs/MjFUw0CtegtJy74v/lr/rcQC7/F+eFB0fzLFCZJs4X4xZ4+zxHhfKj7ckTLdwtDmFckHKuRZjbU1JQmYwgyJqTl4rl+tzCFRedlevTTgWLIV5yVddx4g0KqyudTc2RiFVZHcVZVOuiu9GFFV/ZB1ipEu2WEk0IYl7Y3PcIGdQMezTubiCARadqiMpPZh4lanuDlusGG6S4+0fGjTJnNQcZH2k1+6EaTP95XYVNpeeFwX3qYXgldqaJVhJFbiTCWRiCkhGStBVfK+eOJMwTT+9FpC6NzLbHy6ku8MyWCFRiswFjURZDNd6+uoKI2UDc0gYZQQ8I4yzHps9tUbBAGRWnQ5vSxznQY7Fi8Ke2uIqaaZFVwgVD9ypriyfkmYjBpwAVE09nk4vPRyyiqsIqJQBFqRQk4nN80Tyf+x+IlMml5nPdXvJxU4Xkq9tlzkL+wsp5tn/PLn0v9AFxOWEsIcTiZTG5+oUKn53H0sU/xlorBl+f/jmmLtLHY4Ffbn+GvUm/nSXEdeT3DH3X/IvX8b9J55EdIT1+zbJlKK8bqJzlTOcBEY3Dhg3keCcfn6swoq3unOb6+BbdFUZ1Pw9DHGX6RvwMgUgY1naCi05R1hsmog+P1DZxyN1Nz41DSOOUGyWqFTL1Myq9hywBHeMTwcJSHHfmooEEjqCEAlcxRb9nIZMcAJ3sGONWV5fXic7xBfgm5TIYKpQVFcszSRoksbcw0XRbF8l5TCctle/tRtrcfhU0QaJuJYA2luU7CScGqFQfItswu2edEdQd319/B9DVtRNcaCJqZ48S8e64SzdHDFgFSQzzSJEJNfL7Bj4fNeSLS2KrprRMKCIUglIt/+/NzS7dj62aKVaUDprXPWFiiUr8X3z1KMV6kmPaJjBdu3zc9g2Yx5CwWx664rZZQi0fU4hGzSpP1dhIXL0c4a6nlY1TS5zPUXbCPIdH2Fb2Ar4i2UkTPXEjvXEjPbEhnKcJYUlhA3hB0WoIuCzLG89Pa8pTG1+BpzZwCX2s8Db7S+DIgImoaI3peO0E3f4t5n6UOS9JjiYVRZ4lgg+xhQ7aHSvqVDEczGNjEhU0Mm5gwcYTEEeI5hX6GRDQI8EVAIML5eYAvfQLpE4qAGCZJHScRxUmoOPEoibwC9WJKixangxbngpC7umZVPYJ5758qLqNGkWFRoi49YjLANEKEiBDy/BQ2J9PHyNaRdh3DqoOoETZcgnqIX9FsP7GP6/d9h8e338yBTbsJ53Weyo7F322w+OjKBvmCS6KRJO6uJO52kHDrJJVFSmdIaYd2v4yjfWKRj6XrSFlG6wqRrhGpBgofLXy0DlGRQEdyfi5QYTOE9PJKo5cSK0LmkPZ6DGs9wmhbuFd2epz27Z8j1XMQFQrChknYMAiqFm7RwSvauEUbr+igwkvvgTQVqZ466b4q6b4aVkvIeCGicv8tiMBBAm94UrN6qs5Qa5mGLOA6MQLLJlmvMNfSxuCWbWw6a6OrJ9HRIkGfcCVrHuuCtacAaI/PkbKqVIPF70RSS2655Rbuv/9+4IULcCeT34XK8Et4Ifj/lc30720vAXzygUe4qqDpDX16S9/ASr0dz5nGj82BlszN9dLRcRaATZseQMrmh+XZEqhb9XamJldxarob181gaMHt7TsY0Es7uud8xcFGRKAhi6ThwjEUJ1G0m4JuS9JlCez50O3qPIE06itmcZlODRPYHivLFlIFPJ2p8O3UHNeH63m5t4mNUS8dKstj6iR13+P6cD3tOsN0oHimHtHQoIRCozD0Yldkcy1BRfTgpppk80HjDFfpA7SKEaQ4yZH6y5ip3cWELfBiJ/Fi02gZUvGyFArbSEnJGkfSb8tlSYOyCjlch6lwAKyBBafeeJhlw+weNszuaf5tDVGznyTPZ4jJbo6E62kEJkMyiVdfgdRJFh6r+ab0VN3FqA7RZnh0WA6dsVZS5lKPnYnGWU5V9nM2GMa3TfyMhW9345sRjgdxHyw/JAwD6o2zjNVPPcsdt0HYCGGitQu6KRYshYElnAVyyZI2XlSnGhaJBkPMw70MvHyczEDTK8GIhXTsOfcsdTUR0XT1ey7+DCqSBLU4QS2JV8wyc3QjfjkDCGxZJ2+cI2+NkJDNQWIhwFNJpqNVzESrCcNE8wLPE0qICSzhkDRTpMw4KSNGynBIGRZxQxJoQV3p+alJmJ7/fZ67lDSzuFoCsrLAitgReuzT2NKgIToxowLFsJ3ZsJ/ZoB8fB62bdqItICkFSUOQlM3fsWXkDWqRYjpUzIQwGzaTelwMA8gYgpyp6LHK5IwQQySBBqH28LSmFsWpRCnKysKbJy+SUpAxmmRU2li+fk9pzvmKs75aCBO0iJP34lDMcz7it2S6HMuOcDb7AG0xj5xOImVIaFWQusSq8QnC6RrT+yCqNcnARqKDoHMnomMd8UwnLUZs2WMoRZohCpQ7HiXZsZdcfpC81PQzzlZ+hb/TP8dTovm+jcXi/Nhuk3cdPc2eEYtQRPjCJ5AeofTRMsQwA9Jln0qQoV72abEE7WZzajGWt1mVVsTkPko9zzC25iAPxzby97yPXkb4dX6fpPKIlVcSL67Dmd5GfG7jZeVMhBAkDUheknRlDQv+Qufv8zwn9lBysay+uqKROcPZ+EkoLbZ53pQLK5uftbOpUc7V/5gDYQfv6XqEs+nP0EyS2vRMOjx2FW4tIgrOEXl7ud7v5LZf/e/flQD3i2EvvUQmLY/h+fnywcGLy4cvs/67LevFrP97gvSRkPrA4qhDQi8y3IHyOLLyAZ4Uvw3AnGjjYf1yXunczdhV/xt7ZAf5I28lHrVjGzHK/iyD1YOcrR66RGvHsCNSfTXaNhS4qTDOSF+cA61pILosv2/IiAwVMlToZYxN1jFucR5sdt7k8jSCDOLESmuIF9cSL64lVlqDEcUXRoUWRp6K0NCnGG/5XwSpy5t5UmjyzJFn7rLbXAmW8Om3j9LfdRS6Ljo/L0Pn0XexYWoXr1uyxkdQR9IglAGugDmrxqxRoyRdDBSWAEtDXAviWhHTIXHtYmmX0GjgSZfA8Amlj28FNMwAzxRoLcg2QpJVC9tNQ9DKUwnNJ3v3M5kr8GyICwsHiYokSkmUFmjdDDOD5jww/Oc1np30uknqlxE5O5nJdXEi++I3b63liFWTASsnA1ZMhyT8pRaCRhHK8+KVCqklM5HNXCQ56kJCKrrMppHeagoioK6gFi0aPLULjJ8rk1wml2/Cm8c1EkQcEjBgS1bacslHMC1ttshL9S+uhFA3R9dm5qdSpNEYcBm35EB6RDJs6jUJhRYuUCeNJCsMssIkIwwy0iQpTeJXINtqUcCIV+GcW6Ecec1z1ACSqlIImUAY3Ugju7CPZ1SoO7OEQYIWHdInZomJBjERIml6nwXCpuH0sfugz1VH7mPfpg72b9pMaDVHq1wnzljXiitel1StzKtH7uPOxneIZMTX5l6PLK1nTxSnR1rEJMSEwDY9jOwsRmKWc1mXL7Z38Uiqj95okndP/AuyPEejrHGLFu6cQ1BbHGKzsz7JTgc7tgrlrcOvdhG6aVACQzQNy5VhN61HfxzjTB1lNqfIqjGVG2Ni8wnysRPYwkdrCGrmPLnkoAJJoqNBsquBnCd/g1orpVM7UGM7EOHifZHAjiGfHUMxVGQT1L6Kjs5rN1nY6bcizW50+jp0NM6I/UXa5hpILQhqJkHdwEo0ScE/aR3mSHA9B9NzHEtLfuXo15DynVe81i/h+xIv2UzPE9unOxFBhFf+DKazDSUCqpnTC+tnZnMLZJK8jJ1yHjKIk568lszYjejiAPc5j6DnB7VeEWynfwmRVCFjfpBElCAu7yKIln4DImAi1EyEEaIBGaPpuFxRULHnONp9PzW9n+4Zg57ZOPY8Kd1Rgo5zMCYG+ZLxINsyu1iT3sld+qpmuTriqcpeHjJHqWRjSOXi+DXijRqJME3Kugl7XuA4VVuJH59GGT6RkDxqTrLTdbm/8QsUHR+v/WnURVlmA6dEZO6nFl7FgYbimKtYaUtWOxJHCkKtOekqTnmXU2Bcikawgr3BCvYCEo9IW4h5u+9iGj6UPtIoI4M2lOxjCpgK4VAVElRpNxpIIiYDTY0cWHeStue/xZpFGcvzhV/g/au1h1aVprepsEA4CNEkkMBa6EArIiQGWodoVQNdQ6kqrqrR0DVQNRAt4KzGFE0B03MPOOTWHabrmm8izSvLQbxQSEPhZGo4mRqp7ily684yc/j1zJ24A60NZoFZoFUO0mWdYNTfQVF3Na+DBHMZLxMJGAaYUmAZAktCEJVpeDM0ojp1HeIphacFvhIEGCiRAJkGkUcJia/B11BTOcaqNwI3kjNGUEhK0cV20VI7z0CRNSApXCxdQkYzoGtorWlENcYapxb7LiKGkC0ImUUYWaTZhzT7EcIgAgqRphAJznjZC2pYzv178RhmLjweHWCqWVJUSBkBCaEpBTXG/AaYLUirDSHauJwWgg5jNGbX0phdy3KW+xPnf1wudUENICQhIW8I8mbzeRwLmjYipKHySmZPvBLDKZPq2U88P4hX6eZNxYhUZ4nvbG6eu2dYfGjrRo6KBgMzIaWEpJSQlOen878jQ7BlyONNj9WYCTVHAUtG9OYm6Yx7xN0OKvUM44FiKtD0xuskNjzErJnjg7wPT8Q5wzq+MPcW7pz4EpFfwCtPUp+8E60UKalIG2KBrEsbkJJiSSjwc8VIYnGf1tLTfDH9BLqRor2jwOzMACoyyJUX7auzqTbWrjxFdaBI+XicgtWysK5HjTJZbJKAhtVP2HiQqj/6vI/p3wMvkUnL47wk/9WXWX9++YF/p7LO77NVCGEtk53k+dT/PUG8u86suiD0w6/x+NjnSMyepCVxlsdeffuS7e/Xt/FKcTcAft9+zuUOc+6BLsqDS2ONRTwk21Mj1d0g2VUnlvcQAsxAsX8gy8Uo+JKztRi9ZkjODrGcy5gNQoPQiMhsGmEjN2O77SjDR2iJVe+Y9+24aLcLXHCV9JlZ+3kKK77RLG8espZClvLoRB0Vr6GdxiXlnIfWAt3Iky6v4lylly9VOzlR7SQfn2N97hQbcqdZnz2LMJYPWUlOdtNydhUyeppa+hHAR0iPAJtArSTlrQN3DU9X48yEms9u+1NmUpfTKL0UqyY0b39AsXVI46fb+Yd3/yL1tn5umAp5y2xASsG0OccHez7DQ5n9l+wvtZwniJrYUlvLfx/9MfJRBl8rnhDj3Bs7zmximrpVJhYl6ah101bvRoiImcxZhtPHmYlN4pl1lIgWrrVGEtqr8GPbCGJbmXbWwrPER8twBss9iu0dxQjGUEYLkdGGNtpRRgfKbCUy80TzbtSWXyRZO02ydpp4/RRmVKaC5kCbYn+7IpQBkQgJpU8kg+a5Xvy90WAoCzuKYUcxrMhpzkMHQ5sIJFIbSG0QD5IkvBaSQYZ4kEELhWfUCUyPUAQY2sRUFoayMJVFJEMaVoWGVaFulefnFep2c1kofUxlYSobO4xxVX09r6jsZqe75oreQecRas3cBeRRIfBQag4VzYBqDvJr7aF1A9esU0xUmEuXmcmUmGwpUUn6OJ6kveTQXrBpLzm0Fh0aoaQBTACGUthE2CIiYUqy8RYyTo6k2UrMzOOrKhP1I0w0ZiiHMQJ15eNOtQV0byqS65/DNHw6p326zwXE1dJmNJSCkd4Yw71xdthyPsJTcHMkmK3n+Vrweh5suR3ffPa4vmoyw2c3vIEvhncSKz6FlfsKpv4YDytJa70XJRSuWaVu1XGT22mkbieI37Sw/5TZwon8b/OmgyVW1QTC8HBaqsRaC8Ak6BRBYz2N6TgNICE1Gx2D/rTEEAKFwleCE65i75xNxrBpN/O0m03Scs3ULtYcB9cIeGTlMGe6j9Lq3MeanlnSfc0wN6Vh2JccqpgcaZg0yhk6K9CpS7SkhrEim3y9G8l5Dz/NbKZGPb8TxwtprQ9gitxC50YIQSVp87Wrj5Otmuw5nKdnNk59OkZ2RdPQLulPs5WneUPhVagzqxnXu1HqhfoJvoT/QLxkMz1PiPoDeC6gqxjOFqrpwQWCxCAkNSIorZFk7cX3IYoMSr7NiArYWfBYX6+TaETsdeM80mjluqrDTHxygUhKaIdetUgkjdVPc7r0Bd688kF2JCO2J77GPtbxJ9m15N0kqxpxuvwEWT+JitI0VJaGypAxJrkufTeGOMjRoS5OVlpRl/l+ODogDEs8M/dtjpeeYH12F46R4FjxCUrBNN1A9yV7zaA4S+Bsx4rfgCBOsrKKSkszq+wxsY4TtoOKD16y54Uo5Eskh/4Zm3VoZzMnvAynPEXeFFSiplfveWhVQYWjqHAMFU4gZAZprcSyB9BiqTeRwrlEiirC5UzrQU63HmCk5SihERALUnRUB+iorliYEyYZOh8+JJ/X+BgAQjhNnUcD0D5aldHhOJ41zbm2CU60j1NMTFOzi2jAVBZW5NBeTtFfaKW/3E53rY2slULJPCXdh6cX7ezy0DoaszeQX/8trOQ00nIxrDrScpFWA8NaJi166CD8BHgxIt+kEQpKKOq2RywWkDJ9kpaPZV5qt0ozoGPH50j3P8XEk+/GKzV53tlwFbPhqku2h6Y3ULsJ7YbC0iW8cJpqOEvZn2UqmKUaFJoJbkQCRAxJCKoOy4R6hzKOn91NXKwkpvILBCFAIVqeixZE2GoOqabQwQgN/yxj6lK/LCViKKOFUOYJjByh9hDKo54UjPW3cXLDVYznW+mcmWXLUIlVU5K2egrjOXbFJQEt5hgd5mk67JOMVSs8VjdwHUlkJBG6BeigYVrMSpOGqIKo4ZvjuC3dyHgH2ciho67prGvyz2+89orQFJjWZZ7yO4mwyCpB6qI2IvIylAZvpjS4GHZ681REx2yFL16XwreaR/PQluVD3S7E4RUOq2br/MC5B1jhPMGxvMmZli6KZoOEUSW+fwdjQbOeocYe+EIbn9nl4K5eLPv++CvY+PA+HHMrZvyWhWehqqCqNOMXkYhJ2SSVMnZAJjNFOjlBRzEEHUfrBL6RJDCSyDCBoT0Kfo391uIz3XN4hOn4dm5/2d9hmj5zs2c5tv9W2suLbXzFTOEFGXr9MicTqxfr1hVaSi7FaBRXrATAiV9DV/DQs16r7wVeIpOWx8NACVgjhLhKa31x0qC3zs+/8hzK+jpNB4ObhRAdWuuF9DtCCAd43fz6u88v11oPCiGOApuA1wBf/C7q/54gPRXjqPMY9DSzZLhRC6v3f52YV2TuvSGPc/2S7c/K1YycW01f3xkArGTI6jtHqBxKMHoqyal1Hl7ex4pFbNV5OhwTFQ8XWr7QWtpIqUmb7NciipMS2R6xPyPROkl3NYVuV9gdPna7JpZTdGUrSDlPSBgh5Z5HKPc8gjPSRsuxa0hObieKptBRMyPcRCpOZ3KKtlgBiY8UHrWWYc5sHKaRWIx71RqmD+YZf7KdQMFUTjLRajHd6hC1umQsTc7Q9GlF0hasKlzDzrNvJeE1lfl/myon5sfMJhvtHJ1rik62ipAPZKdwciep547jZk9jBGk6jv0gqZmdC/X7iXHquRO42TO0nLuVTGUFJaPKbLyIlTnLpDHKXGIMtMYW814vGmJKAQI1vyzCQGqHFY1erjLWkt6zHnZ2szLK8peDAgab5JgvAj7V+m0+1fZ1POlfcB0EQfFagrkbUX6etu7P47U0MzMfTp7iX9q/yvsm/gu2kNxEL7vrPZwoKM5686lfnVkKiUmOtT/K2fyhJV+7tmgFL4t+hCP5HE+nM9StK4tgy6CIWRvGqI5iVqagEZBWktVWlXYnwLdPY5in2OmuJsVJGl6cWj1HudpNVSXw5SSV2DTl2DTlWJ1yrETdes7RpU0IiIyAhhHg6iqWtrGxiWGRM6DX9lkZazDgZzl87C24M5vojSTyos98JCJKsWkK8XFmkucoJCZoWNWmG7DRdAeOzAaBDIjmOxNCQxuaNVqwIbTZ6M+xTu1DGpN4eiWCOAZTYI5zLG9zvC2BjE+Td07Qbh9DyDpBrR23sAJmV5CYXYFbWoGKutCqjApGQDcQWpAVAa2uw9p6GjUWww9y1HGJrARz2VZK6RbO9eU4vi7FTQee4Y3T97Ny6ywx5zkIQbUs/vQig2roUAlsCn6cA8VuZrxFN93qjMXJB9vpiMW4tnWElekiGkF5fp+ZIM19/jbO6XY2zU4QPaUIIp8gUKgAmBesv5pH2Ww/w3hnP7V4kkYsQSOWpBFPUp//XY8nKKVzqHm9pdC0qbbdAPo67MY+4pW7mZLH0DJDI3ULbupWlLl8dr9a2uRfbkvR/sQkVxcdtjTyJHQrXJBTznCqXGNm6TKbLt0KxSfa7uZLue/w8vrbed3cNaytSY67Eac9xSmvOYrbaQn6bUmnNrnt9BpuO72G08nX84H+R6g6/0xaBpz1DapL8hlPNt/DzscWFrVXB3jtkZ/CiRIIBPl6D6dXP0I9Pcbtg29Dl5YKzGa8NjZOXsexzsd49Ooq7y1YeEUb5skkJ+Nz+JtVzg18lJU7BdbMy59zZs2X8H2Fl2ym54myUjiqhDQHCJwIN7EorH8Lj2F7/XzpsXcxue5LOG6W3smr8P0EruHxUM+Xed+5iQVpkM91ujzY83X2H/saG7y7wGq2h+vCTiSCQPnsm7uXM5X9CJnn3plXc2f7VxFCcxUn+Fj5FDaqSVjEWQjRWA5r+orUQouDxS4OFLoohUnqZpJkWEVc5PNTjyrsm7vvOV4RjfD3clfH5xiKXs+hxh00/HFCuxn+pIyl2emEVqwRQ2zmJPfoW6gLG6TE7epHnH2U0H0EafZj2FuYVv1o5S6SR9EoqMXsWxESXxexOMMPdz0Gso1z/k4G3asZ87fAfLpvraqY0THs6ChRMEoiEoytnCE0mtyla1UZzh1hOHeEtjBih+uxttSKN3YVUb0LgQlComVzLqSBIQW2hJzt0qnLJGUFpRrsm8vhhQFWVMUxK8Rkmf7EBBty03THqwvkVqEs+USU4XEnQWcYcos/zdaqolDKsbcKs/UaBXVmwetEAwVnLV5sEwmjk3adJKh2MLn3hxbvhPYhHENEE8hoEsucw3Y0kQpR4Rzj2SpPdYSM56vUYxd8v935CQAbR1jkDE3O1LSbitszAdl5J4x4fogVd/w+I6duonHgHWi11AVJR7PoYJAoOIMbjlJGc95vL5KaUsrH6fRY3VUnnzGYPfkOisVtJOfDxbUO5onCEXQ4hAonAY2pGliFBzCNvUTmCoS5Dm11YIrURfXPEAXDqOAsKhyhcREx5dsOhtFGn+VTC6aoNjRoFxlOYAI5I0V7rI/exAZanW4StQziGcGM7bE3n+Wp7hxf3ywYi1usmQjYMOKzYcwnFkAkNOWYC8Yk6/QhdphH6LSGyRgTGPNaOw+oFj6rVtAWOuTKNoYqA2XOO19e4ks93bz30/lOzqzYyKM71jOT76O9rOkshnQVIzoLTakG61lMMks06LBO0WmdpM08yUy9zDOzaRqRTc7sRYg0OprB1R6GvQZprUGafYjLhI9tGAt4x31zfOGGLOXUc6cl7t0e47eCT7DCnWBDA56efjP7au/g6vQ/sD7z10TK4ax3LQCnOzZwbPVSkrgeT/HU9h/lZWcTC04CEZrHnJAhS2HoeS84mtIgxryLgaGhc66DVVMd3NbxEa7nawtl7t+SZiZv87JH51B6B5PJP19Y1z1XYP2upzDNZn8p3zpKJjOHOaNJNhS1eLNfO+gMsH38AE+lFu9iD6MUZq+j1Skxer67ZW1go//98UkTWv/76hXOf+DXa62fn1jIfzCEEO8HfhN4BHil1ro2v/yXgD8HHtJa33zB9u8D3gd8QWv9GxeV9XHgh4DPAf9F62bKHCHEXwM/B3xca/3Oi/b5MeBDNJVYbzpvUAkh3jxfziCwYZkRuOd7noc3b968+fDhyyUveW741C/9OqVKlfHeZkcpVermrrv/iiivOfZ7aX7W/NAl+9z2xDd4ffBh8nsinqeUzAJaigGVJxwOnzE52i851i+YTUNoXr5DkpKa1xCwJxsil9Hx0yWJM6mRFYGsgqzCuJmk0NLHdipY3WNM9y/1QCkGNl8YSzFcjdBAJRkQSbC0iaMt2ioWO+ZMiqtcziiLtbW1vH36Tlb4TXfaMRQ/cIGcw3vWf4aPnnwjWjc/sGsiyftVnHbhEzPjKK05KRSV+Fmi+BBzzgR1s8qQVeCkOces8KgTEckXqNh8EXq9Dta7K9jQWMn6xkoqZpUPdnyOUWdpavJArqZReTN6uhOhm5GEwpgh1f1/keai8faOqbt41+xrl+zbUJpjbsRg4DOcO8J9az6BZ7pE1gBefCeWfQPleA/6Cp1Ny/PJTszSN9kgXW4wbM4yl5hC2tPNyZlGWsVL9nOUzU9P/ACvLN2wsCzSekF7D6FRZp1Zq8qPeJKaVUSYJYQMQIQgQsT5uQxBBCAidJREBy0gQuy2b2E4y4c5ai3xJt5AUNwzfzywBo89HY+SESGGnyLmt2D6GfCThEGcKIhjmC4tLZO0xcu0hQ2cgoE5Y6AjiWeCtuPMdKQYTE4zGDvG2dhJTjtFyhe9b45SbPQDtno+q712ssH1zHlb8cNJNh09Qnp4EF0tIpp592gk2qi29OElWsn4I7THFE7P7dBy1UXnpRFCEOExE69wLl7ieGKKnuDrvLP09GXvY3Nfk1D3AgGmmECI5T1WtIYz1TxPzPYx1rjUW9GSIYF68cZNDNOh11k9n/q3nzlb8vedMzy8YSON+KWx58naBI1Y2wLhdCFWjp1j7cgw91y7KKGYqE+TmP4zhBewam4Ha+e2YsmAV8pONuhFIqpoVPhfK77JY+0p/PgOQmcdQmtumIn4oTMem2ZCjrvzIrfz74wloNeS9NmCVrNpuEyZZR7LnCIdagwFx9B8hxAVetx5/F5WlieQSpNeq/ml2/8b3RP384aDP4ATNWP8NYpey2AsWN6WUATMJIfpKJrEwjj2hsfpue5LAPg1kyMfXweAMBTO6hg//T8/x333NTugL1SbZsuWLRw5cuTI5bRvvp/xks30/WszvVj2EsDbfu5PuHb2UWz7dsq9NSKzOUjTyRQ/zicZdPfwhdpP8ekdf4iSAXcNvwZjfqRfpL/N71SaTlazUnL7QC87T2nefX+O79z+ioU6us5USEtF0R+7RDLgpvaz7Gm7skbOtJtgtJGhO16hM3apJ0akBfdGV/Ex9SoejjbTFtTZ2aixzqti+SOo4ARckOVSyDaE2UVgCmYy04xnR9hYbiMnXA7VVvDe1vvY5TQpg+lgFZ+t/ASTuckl8up2lGKXHuVG89MkRdNmOsZqPsUbFuoxZz3MwjmsoHjJMSvDpNCaYiKWY1x2MqYGKMk8CPg/1l/zGuOJhXN7XK3nWjnIVLAGU/i0m2d4WG3mT8O3s183SX5hlnA6v4wwq6hGHxvciPcH32CbLi4etoZj5XaUFqQtj6TtkbI8nGX04mdVih+u/xqnZB+vMp7mt+2P0yEuPQ9oZulTCqTUSAm1yOHb6iq+rG/gIbWVBjGEVnR4U3R6U9SNBCPxXtwLshMbGvoCwQbPReMzKV2K0mWjMcy18hjXG4dRVo0jMYsv5xz2py6NO9PKwC5vpKvWSmTWCO0Kyi6gnQJFI1oY3IoLzRtzPnuSS+3SSc/i6RPX48+sYzp5jtHMUTyzgBlKrFBgRRIzFBhKUE6GGGaONn8zQdBKJWih6LZScFvQSDqNOq+sOXS5F5FDOkBH0019KZm7LLEBYFEnbw+TEoq8MUlGTsC8/uFo2MUJ/w3NUEPAEVVem3s/HdZxhqotjDcyFII4c16COb/JzPYm1zGQ3ERXfCXyonpnbMHTeaM5tRh4GjbVIt4yGnLtbNTMcEyNpPFtksZXseQoU+4GvjyymeJzyJx8OWihcGNxhvrXcbp/E6f71+PF4qA1QkPMq7PrwCPsPPwEMd9Fonlj3xEGUkXk/Dt9pNTBIzMrKAcxmlTVFQaChIO0VhFnJY5OYrvTBHqGsllEyyrCNKkmNN/efScnBtaSdBvkalVytTr5WpWOxhCdjSGyYZU/uennqcea9/f62b18/tAvLtR8rHELGWOKHvsIobb49PTvM81G/v7VWebmdVPRizZRRzHkx79Rbtr6kYcT3E2ht06FBAEGEQahljQsExFIIgzKOkWh0UN3ZR8rvDI/1nc/vbGmzIlrSw5vTHHNgTKRlqy+8R68+eQ9v/2ZT7PhTf+6RBWiMLOCyXv/B/90S5qhzua79Qcn/4ofHfsCv7XmfXyo720A3KLv4bVPNCidvRFL1Al0AoEiLfbxzg/8ynelmfRi2EvfC8+kwzwPoejvI7wfeAVwA3BSCPEgTbJ3D80Q3/dctH0bzczPl3rwwi8A1wFvAY4JIZ4CtgBbgdPALy6zzz8CdwFvmt/n2/N1vJwm9//D3y2R9GJi8pZdjO99eiHSt2bV+c13Gdw84DNp7Fl2n/t23cSBsa/wukaN2xLlBW+h5wKvGLG3KPm2TjGzyWiORz5HVJXgX7H5bMHibYMhuzs1RsfiqIPIKvwsXBijnKZCmqMULy5MC8xzN9M3+Cp+MXQwfA+zUcXCwZZJDMNh1qnz+Y4HuXvlw3jCBwPOZZ7mvszT3FS+ijfN3MmHvNySYodOvYUfGvgOHx9qNgynDcWfBS4v9yRG9f2sOQWPtq9lIpNn19oJHssOs9+ZxBMvDnl0MUadKUadKe7LPrnseiuE9WP9mOatHFndydimZnapRPmrJCpfRaiAbKOdUnwagE92fI19iXO0KpOKUado+pQsTdkSuKaFlln82H/Bj+9EmVdIyatDLO8UlnsI2z2E6Q8ihGK0iwVtqeeSfMyTPn/R+RmeMcr83NwriGNeFB8tMMIUfx4FVLQBXhfCzxEb+EcEGq0ctIqhlQNRcx6Wd6C8xeYgrGzB6fwKVssTS1zmtbJojL6DqLp5YVkQm2Ko/yOcs5eJYtew3l3BrupmzMjkocQJTsVGQGpEt6Dp0yTQaCpGjegyJMzS85fsjznsjzk0m5f7SKpvs9aL8VSPJKFCYkqQiXyyOiBLkZQ6SVIplIY5NIZ+FCvqIeG9Fju4BYGz4GVi4NDZcOhstPHy0lFy1iKRpLRFqPsI9QCBGiDQ/YR6gFB3AwYlo8Kx2EkmnYPUreNYYpTeKGRlCKt8l3QUsDJdZFWyxGgjwxOzvZytLb5PL5RIUkLjWQrXjpjJ+pipDO9w38aAWLFwXnNGia+0f42fm34l7z5zgE+0zfH41t3M5hfFw2vJpSJnMlJ0nh1n4MQJbh96kF0db2WFv48P37QTgHqinXj2V3nFg3/I0TWPY8c9/uvkW3D0ohfe06kSf9Nbw65u5LanzjEw8TWm2vs5sXIjxzu6eaYoqZbKbD/8YfoaBWbatlPIbaCYXcNZ7XDWh4SM6LMkfXaa18xexVigOelGdCp4s/RJyiF6i1vIzSVI1ib4wLXvpbO2jQxrGMofZu30euT8WN1yRJJWZZLRw5Rbu9hx8iH6Bs/w5Kouqieh57rmNnYyxEwEhHULHUnMxlzT0PvPjZdspv8ENtPGsEBjYCvad4jM+U6h1rxe3IOBotUc4v7Vn8S1aqAFUzpBt2i6fayobOR8xN7XUkn2HNX8zFciDly/cqH8fneEt8ivMtO2kUeqmyhVczjBYoj7w9Mr6IhVWZUqnK+aaS/JuXqWkVqWkUYWNzpPHAh6kjF25MdZnzyKKZr2kiE0d5h7uYO9HJN9/Kn3dr5lX823dRcbgw3satxEvvpIU/MntodzyW7ydsQ3Nv4BJauZwayveoK7JrO0Jn12mYuaUcraxOjmbQx7nXRUpgidJO+Z66JVN7/oFXU1kfxjMtY5NnKGLRznME1v7qBN8OXtx1kxanHN8RzmvMfl0RVlntpQIJr/JPSHOT7k3si4mKVnYi+75cmF+l1sbjCaYXY99tGF5SvlJLMXJGbXYRZ39IcX/h5JneYve6Z4n/84V0/XzyfAZVN2+lmfCU+Y/LL5YzSsBB82/4KXGQevuP15Euk8kobHDfIIOVXlWnmMo2qAU6KLTPc0qzr2Y2mHspun6GeZqnUwVOmk5LUyZAsKdsiN8gg/YD1OW/wop2PwlGPzUcemZOSWrV8FGYLC9QTF3VSjFHNAT3KMu3ruYXfXOUzZtA/KkeDx2VU8NLmRj05rnsyf4gd7zpCfd4HpdAJevfUBHqg+wlDdQEYCPxI0HNWUgogS6CCH8tsIClcR1TZw9jLXZDJK8C+xiNdl7ucWVzBduYZAJxHCQpiXakQKIvLmOTqsk/PeNidoNYeRl7GbtgD99XHuK/8MGgNPp/i3wu9yV8sfsSq9n1Xp4sK2gYZRFWfa34ffiHGqlEeIHtKmImUpUqZmIFCsm5G8faaZhqyhOiiEu4h0D0gDhECTpBq9nmr0OgQ1NEle1SeoBHMMV48yXDtIOShd+nyg6EuWWJOaY01qlrTlESoDlKI+HKN4KkHj6UGM/BlmBgqc2XgNJ1sNWryQ28ZqOOFGVPtaIh0R6ZBSOMes9ymqYcQjU0kmvQsjAy5gfJcjlbSH9o/TSYnOwMLs2EEyuY2UmcC4INTwXaeAUx5Nn6AMDxPnrzF5i/UZ3mQ8DBa0nlb87JbfAuDR1qv5QNub+emZzwOwMf6dhbJMEaDrn+fhnb+6QCQJpXnHE2N84rpeAKZaTM52mGwYmWPPub9i2/XPICSEhsCMLtJEtSGUElfEOOJs4tHqG4mCe/jmaA/vXDWBKTUxX7HlYNN1qGilF4gkgMz2iUvkRXNtQxSzI7SVVy2QSScTTY+kE8kLPZNGaK3aVAgIdAJbVPFVglnzhenwvtj4d/dM+n8ZQog48BvADwL9QIGmC/Zvaa3PXbTt7wK/A3xMa/3uZcrKAb8HvBHoBCaBfwN+R2u97NMgmtT5zwPvpZk/uwbcD/y21vq7HxrjxRtpG5k7ywf/6p8WhCKLCh5e+1l+t6fBn8rf55hoEp6xyj24yZtANg2Cdxc/wB3Ze5rHEtr4KiA0NdVIoAOJH3ZwVk5TjaASCSpKMOpLZqPnnog75mnifjNLhh3A2a6lDZ3QkjuMFl5u2yRazyKeRezyPGY8yYlDXazen2LraQ+7PAfRoiv2WB7+7TrJA1sF0SXq/0vRP5JjzfHVmPUOqlacI/mVTGezbM6fYt/MIln8uppFLHWUUfuDNBwYaxXUY1cu21AmWeXQ5/WQr9u0TEyQrvgYmT7MlpVIKzF/HVxS5t1YYoaCNDjs2BxybIpXcBuTWnNzvUFMax5KxLHqgmuPazpKBl/drSnMh+bvGLuVbeN38OlrvoI2epFyHfV4hnosiWcn0fIKuTwvrjOcxW7sw27sw/KOIfUyMf3PBmWg/XaCRj+qMUDUGED57QgNW9wa/61RZ4WC0Vw/+wzNgfggT8VPMzv38oUinM5/w84/etkqtDLxpu4kKCxN3GmkDuP0fh0shQ7ThIOvI/B6F8t1xuht/xKW9KmZNcp2eUED48VEJhLEFMwYmmeRIXreyIYpXlO4mVvKu+n1Oxb0mZLG18hZ/3dhu1B3MO39ERGL5ItCcSI2xBOpQzyROsTp2LnnFNi/0u3hF8ffyXp3BQVvkmOlxzlXO7YkC6RrR9SdiHosoh4LF357lsIzwRUJXJnE1Vl8nUGFLYgwzTu8lbzH78O84EAeFy7/kwpFbZLE4L8R46Yo5Jm5+/hOzuOp7Tcy1L8Yopaqlthx5Cm2HzuE4yvq0gHVIBsWkBjs334zX79h0augpeHzh4+eY21VU48qFL0piv4kw3oa2Vhe5N4JQsL4BtJiOzsPfZSEu3TkUgmTctsWCu07KWTXULTz8CKHlSUEdDGJo/+MPe2TfHTyH9l48Pc51JshNJrPweYfOomdanZIP/vIa+k/NkzKqYOV4mc/8Nn/1J5J/y/j/+8204vpmfRHv/S3KEs3s7fNt++p4hi/0vKvQDNc/H+05/hWMkXL7PVcX+lZeFUFil/iQ6Spc+bIa9B+P7XBe/jS619NOJ8u+818je0cny8LXu+/n2Gvlasqx9hYOYKlXSSKdZkZAmUwWs/gLYQaGQizG2n2zk89CGEzZigeSczyTufzvNl8gBbql5zXiNPCXwZv4fP1W0AJ2pVBTAvGTUUwf/x2yxM43Z9f2OdXBnv4ERbDaY8F3fx92w08kj1I3XDRGJha87bZV/KOmTupubPsnb2HWW+EHbkxbuwYJpQ2f8uP4M4PH3XIQe7tfIxRleDGszH2dwZMtC4NlYOm1/WrZ9fxNu8eermU8ClJwSdSOVq0z1sqVWxgiiy/zTup+SlMIixCzsRcxjr3YsQWE7FcU/P4vekCK/SlGTnPI9CCmpRUHJMnuxOs8Dx2jDcwL+ibudriQ9FrCLTJNjnINnmGLvHsiU4W6gDO0EYQJEnpBknt4gifGUdxJmZwxrY4YVscchxGrWcffAnrKwnmbiDm9tOTnKE7NUlXcoqB9Ajrc6eXzWgMzefw4MxGvnTmVYxXe3nzui9x+8DlNV/KfpKi20LBa6HgNqfxegejlR6mGm2oZ3He3CiG+FPzQySDNk65NzHib8cSdTqtUwvkUbt5Bkte+lw8G864e/hG8ZdRC8GmAXnjY/SO7UPULETdJIoMkAItIZQQGJpUwqUtUaMl3SCZ90gnQoSAatTK45Uf5Lj78vmkJk06JSmbIvh99gRdVoVmLoGl4Vpaa4r+FMO1I0x5I2Cb5DMdbEh3kwoM0voJLGMcSREpKoR6gIa/BS/ajjIvl7OgiZAILSbJy2+RNr6ElB6e2sSk+8sM1aY5UznAjHd5HdaYIbHtl7Ems52BmENMPjdjM0Izhaa0YL9p+oyvsd78MEJEvHvLH/CNtqbupO27fO6hn2a3cXpJGRONFH87dxsfffsvEM73Y6494fKqZ+p84mUpTnc3ybCNw1X+8v/8KltvPYoVV7iij9+x383Pe2O082WsC9qFpzJbeNfW/0XVSPA/nvknGse2ElbuZk/rIDd1DC2pf296E3dd3cwq7gSKD4l3YMzr3yolF/rLpaFr+eLUD/LNa5syMTcUn+Hz+3+Bq67/NON2JwC/oP6Yn37w2zjK4HR9D19wf5giWeK9B/n93/il/3DPpJfIpP/keLGMo9G/+gD/MDeNnn85tj89Sd+d3+Lcxizv40PoeeY5Ufw8XvI6Iqs5QnDVyYP8WuZ3iTogXo/4hxGLJ+MxlIjRH/tZ9rVvx/QHSc/+PWZwedX6LlPRHcVxTq8gX0sgkm04Is2r/J0cjdL8b2+WVrdMq1ui3FJgdMNeSCwtr8PP8xPFV7FNJpiNj3EmfYLhxBCmXSMlNUmjGSKngL11g2+WLML5zqUVarYOaa46pembgW9eLXh8o7gkJCtd19xyQLNvjeBc+6WduKtPKt76sGL1OHx541V8esdORKpEWTXdqU2rRLsxx1zqMklpNLTV+tg1cicZN0/cTyM3/A1X95yl5dMtOAcuNv4EumsrE5uvYWyFzeOeze3ibu5Sj2LrEA2MmAaHHIeD8+TSUdvGlZJdDZdfny2wIWgO9noCHozH+XoywQOJOHUpiax+HF5OglsZbjcJzefPWgit6ZkLKc2WEdbHsTmIP/VqkCFO270I4/IC5ypIo/z2+akNo55jz9lJfuDw0zhRxDMd6zC1oqNeoLNeoKNRwFKL3l3TsSyf3PAKvjWwi9AwOc9qSGeUxKq/RQiNDtKIMI3lx3FqCeK1GKm6hQ4yHMtsINBpUEmWMCJaMyDGKftpivaiGOaeicO8ofEUZzauI5zXaYhERNkqU3SKlJw5qokpZo36MtKSy0NqScbPkPWz9M5K1p6pkSwkaUR5bhl6BlP7DHXCiV6TQzvijGc9xq3oiuGEzwfxyGG118fbyw3e1FjsMIS6nWn/D4l0F1BDmfsIzKepWs8wYUc8mt3IAaePU04rDbOEEUxghOPIZYQvLzzXN8/dzjunX4utLRphlVpYImYkCSyLJ+1ZHrFmecKoUFM2qBioGMJPocIkSi4apzYwgORniLH7AifeEM3f4/EpfDTNUE7VHiPYkOGtk4pfOuFTaAzx9Mw3OJOxObVyE21zk6wZOo7UVyaq923azbdevhiuEW/UeNtXP0rnzLMlBF8KoTUdpRr9cxXaK3Ue3HENX7j1Tga7+2h3Y9yyr8IN2mCjktwbhiSHnkIbKSrpFYRW4tkrWAYazeaYwTpHIoSg1foDznmCB85soCxPLnmedr7Whd6mmO6XTr+ar518BTd2Pc113zzOT379M9+VYQQvkUkv4d8HLyaZ9JEf/jvG+isETrM9k6Egeeopfn79w5gXhKc/wLXcq2/AGT+L396DtppiznfwANeqaSb9/wMIHvIPcyzT1F2K4fLLfLCp9TEfkvJJ/0f5DdVMhGKogB8/9ylK+QotcxBJKKUNDJFnLXkw1jOhVpNSRlNzCc1TsTrbE1/hbeZ3WCUnOKYHaBVVHMch413aPhWCXs65r+OAvIV7DMmDhBcEvEUMDPw5a+QY1zdcfrxUXliz33b40e52vMt0OlvrSXYfSNFXsJhpyfNvLTfTkRrk1/295GSNL/PKhW3fylc4kRwlccLh766JcTre/KY6StEZhtxadlDVl1Ofz3Z3Gw9xM08ufKkfiMf43bY802az/d/uevzF1Ayd0VIP8E9kUvxh66JenIxg43Ca7aezJAPBiu4R2uJVHEuSWu3iJwWeLXEdSa1uM3RfL21Vj1f0niFnLLXRvpTs4I+S6yk7c2htoCMHVAxLGWRVQLt26dZVBnSJVl3H1uBojaU1zvxk6SY9MWyanLQtTtg2p2yL2nPs2ANYfoZYpYue2dV0+0nijodtGZhaEovViCdKmKaPikyUMhamaOFvkygyiSKLaXuW/fEa4+WrWe1o3r3lE3Qln91z60JEkaRRTyJrJqlaSGetSrHewh8GP8SMTBMzfGzDI2k2eL31ELdZe8HQmAHEGxGJRoQVXSojHwBlKSkbkrKUVGRzXnUkXsxgRkkmpAFJwdDcNq47+uNYqvlOjhshVv+9XL/rsxjPEmkRaiiEgkbRJnbglRRnX4W6KONaID2OdTzGoa4HCa0Z3nfstfTLCfxUHKN0Fx2kaHkBNvWzQWkP03oEKR6jTTyBKS916Ix0C7P+r+PrrRdk4D6AGzXt8aTpc00+Rn/yVYRsf9Y6tVZLxNAvB0ucJm48xGljA2+44XZ8u7nP6uHjfHjff2dTdnEA7auj6/nTm3+LY/3NDGjpeshP3V3GCeF0p8knblkk5e752rvZmhwk0mmmvL++YIAzIiG/Q8b8FIE5y23XfITBRJOA21M8xM0PRNiVkKjyb/zwqidpjy2+v19ov52f2tzMYt7bmOFPYj/RLLFucercbjZseKR57kpwz6N/yEdvaob8t/uzPPb4D7Hm5q8vlPVLjT/gxkdHuNE4AsDfha/jj4J38Kd6kLf9yfteIpNewn8sXizj6JH/ex/fnLp/4e+bHz2M/7OneSBxHR8RPw5APHJpGJcGHf3+E3/BXfJ+WutFbhrop5LYQTX/3iXhTVL5bD3zUSbMBxFCs9H3ucb1SPeY9GQhjsnex96GO++/HNMWr/J30urCzwVz7Estfuj7kPwzcb6TfYKPdPwbBbO85HjagxzT1vKjPkJremZhrJXn1dluLWle94Titv2aWNBUD31ig+BzN0qGOi8txwo1wRV0n5ZAQ2dlJetmdrF25hpi0WJnMNnxFTYXvkLqPokIr1zenJPmmxv28JU33cloZzcJ1WD30Byv2z9JQjewZQ1H1EjkjpNofZCNxTrx8NL240BqHf+37we4N7+LspVfpqbLw/E90vUaqXqNgYkxrj49Qkcxh5fcwqxl8IQ8y1Rqggma2jzCmiPe+3GM+NjSSxJJYlNbUNO3Mmf10FYvctX0Ca6aPsnO6ZPkvOcXRTKRyPHJDXdwT/81aCm5wzxOXtSwEUgZgYAWA9aufID2w+dIftvAqAjKVoL7+3Zy94o9DLb0LinTigLioY+lQiwVEgtcVqgxcpkijgiwGiYy5qASCS62FzQaNzGFiJWp11vQ+tKPcKQFhrLIhUk6pmfZsW8/bbOzlz3HT7zilXz4TT+CFrB26hS3jH2BmD5HVTRHTpsTlC2DmViMmiVQ2kMQ4egGFi6GbhIskW7Wr5Ug6ad5ezngZ2vHF+pyXYsDR27goaveQCozzR71BXbUji17XI9ltnFP6w3ck9/DscQqWqvjrJnYy2zMZTrmI30fI4jjNCyiSpZKtZu+sIXfIMG2y0Ryh2hOOHWO58oMtzTwRSdxL0NvUTFQjejzoXOZbEVTZsSvr7c50O40hw2FAAmt5SK37hvkln1naa+M0e5OoKpjnMnFOdeawbWM5+wBdGj9VXz9ljeh5w19x2vw1q9+jJ6ppaN/UitkpFFCoIzLG2FGpJjL5rh/zyuZy3VQaGlDT/hYh4vsrJ3lh+vD5NQquh/736AVjXg7x/s2M9OxpykObAhsBZGAUkLSM3WafGmUmDuD6c9y9zVQyaxEuk/z3wtvwWjZCEAtOMN3pr5G1V8k/wwN13e+mWDLAbz1XwbgwPRm/vqZnyTsS9CZbPDUu+98yTPpJXxf4sUkk/7l3e/j5MpFDbT4yBRmZZh3rhmiw14cLPpo/S4mZwRmrYzX3oPf1hyIa2OWOyqjJK1mxN+X7KeYks1Ql93s4zU036HBvgQz2VYOPDnAX6gfoTafqfTtKuTViSofbv8c7UGeN8zewpHTX2HCMvmn7ncAzfc1rQQVqVFC8WfW3/EWY9GT5KFoK58LfpRduNxmfZZu41IdPE9toBa9Co9ZCvIgiCJ9YpqMuHQQ6KRl8e7uTsoXtGd2ZJJQcYpWZcm2t5V8vjzx+yjVPB9hFtnW/TfcPruNgmp29pLU+Bk+RgIPDRSlxNaahNY8zTa+zi2EF30jdnKYW/k2f9GW5fPpS0U181HEn03NsNtterOcNU3e2tuFJyVCC/bMbGDbyTiTepaWMjRaKzyzsUAhpri2FPHqss/WVA3LDDEUSKWRkSbhLR1oeNpx+PX2VibM5/7teLGQRdEfUww4igFTYTzWQeyZGJ5hUI0vhjYdWVHmmY1V4lGcRJggX0uRDlJYJIipBKkwhXEF76FYvIjOz/FYaTMDmRF2dhwk55TIOpXL7vPvAq3xNZz1JHvrBilD0Goq8qam31bExdJb4PsOhUI3U4UOHvIjBs68kyctk3NW8x62hiG36CPsHribljUTWIlL5Se0EpTO3sj0oTcQuS1L1pmJGRor7+Ofk0/jz2upvT7rcWu6WY4QEAUOY4/+BNHkNjosQZclaTcF5gt4VjylmQ01c5Gmy7qbHckPIa4gmVHFYTxp4mYlscq7iE/fCYDSEeONM1QTx1mjb8IULZfsG2nNeKBg7hStk09j9e7CbFu/ZBuBi6SMa7u4qTKBU+CpsM6QqFKTLncOv5kTdZPTa2b5+K51C/vdee9n+cnCF7k6P8pwrYX/7byTT93x5oX1v/LPHyGrb8F3smjgQ3fEmMw3+0vvGf08f3Dyb/jN4Ne5VV3H5ovj0Yj4wPopPrxq6bG+78sFHM7hlBSt4T/zjpVPcVBsZI4WHu/fzF+t/hEAdqsn+AXxxwCUnlzJgcaN7Nr9JeLx5rNePrCRn9rxBwvl/uuBX+bt25vi3Y52+YHRD9N+DH7V+jQAe9Va3ur/Hh9/21puuGbjS2TSS/iPxYtlHH3pz/6QvdV5V1ENt1UeIHjtEH/A73JEbAPguuI+HmvZedky+utnmRAVgvi2JcvXViJ++5DL5rJiVn2MdcnPktAa15Y8vCcHQnDq6O2MTzeNLKkFbyhvxDn1MGMTB3jv7f9tSXmvweI35tOV1GSDT7bdzRfz915RW0Y0eonmtvL2J8Z5+dAZlFnlxIqIJ9dJ9q8WuJdJKtY7C9cUb+DrW96IVAon8MmeLZA4M0sqaJDy69Tahjm1/gyF/OU9LpZDttHO+ulrWT+9i7S/lLQRKmRg6musHP4GFw10Iew0DOxmbuYgueLyo0H7123kqQ3bGLPTbGwfonPkZsJa+8J6Oz1Oz66P0C5PUTi+kmuDk7SIKh/peSO/s+Z9BJcJW3N8j+0nj7Hr6EH6J8cwvYB0vUpHpUCqXsMOl/e3Ccwk413X8Wj/dXy0I3dR2JPCtCfQZh20RGtJxvPZNFFi58QIV02foL/6/Ea9AjOJEblIvfSDOpps4xMb7uCBvp1s0CFYxf+PvbMOj+s80/7vwDBrRsyybNkyM8RO7ICTONRQQw2nKW8xZdpyCts0bdM2TdImbQNtGB22EzPbkkyyLGYY5gPfH0fWSIY03Wa/7e7mvq65RprD9J7nvd/7uR9imIjpFqK6hSwiK8s3ckXlM3gOZrEcETC1i8gDAtGskzZ3MVYlTWEy+K4JrX6bl70Fk2kuqqC7oASTBdxCCo+QRhB0opplbPsx3UJMNxPVLSQxbkpXNk5ZZIDS+BAlsSFK4kOURgcpjQ9iU7MkzBbuuuYWXl28YmLEpOtUhHqZ1dFK2UnukxG7iz3lk1EkCXcyjjuVwJOMEkgFsaRUjl2k2TTxAV4Zu2ThrJ0vD97Km+55pGRjJM6ZTTDfdIg1nh1clNmEXT+57HwAHzvUqazXZvO6OoehCXJvnUKC1IrdTBa6qaWH2RTj0WYg6nX8sxaBrxfKfHe6lZhJwJzJsGj/Xlbu3Myi/ftwJd752dWBrCSSkSUykkRWnvi3avOi+msIWWViQoaGikpeXnr2GKEkZzPUHW6g6mAzM/PbmDS9EZsvSSZqItTiJhW0Urw5QFrtpyvPRfodUhV0BMIuDyHRQ0hzMSV+BKdUSn1vmopuY0BAFWXeXPYtfnuGn+FSL/a0TtIs4BnawszmX3Pdmyp144SdURuUFsfJn+ekP3s3zZFG9gXXoeq559mSVTjNfRb5RUt4s/I1Sur+DEAk4+Sz676PLgo4fdD4hTXvk0nv418S7yWZdPcX72XE1guCjjnhxtL+BqJcyaXlzVRZtwKgaAK/PLSMY/qJfFeGo2W5IhGBzn0sdV6K2R7gCcvWsd9XqW9yhrQHgGG7hRcyNQw2BNjpmcOmPKOyrheBJ3BiGfcy7Y4382zwDR4uvWpMTW4hxTTn65jik9ijT+LHpnsN7xIgplxASPnY2PJm4RAu+WFsJyGV/h76JIkPlRTSL8vIus5piSTtup36bfX4slEapg7TUBGfMIgnKjbi/R9ATVRir7wX0TyCI+vg3K6zjcppwFwauYRXx5ZJYuFZzuEAk0/Yh2MIWwZYX7iF7GiVNlE3SPtjkHSdz42EuD4SJSYI3JZfS9hiZqVboqvpCi5NW6k2P8NvCppZ6zxxAHV6Os1l0Tjnx+K4juuDdcgSd5Xk8bpkRXvPCrefGmLGhZjOR04HWOzuZmXlEbySboQCCmjdEqV3SmN70vl5nWDKQaTDSazbwe7qCLunnOjXY9J1JqczzE7pzExpTM2kCKgaGmYymMkgj36bUEWBdrOHLtFLpTLEzGwHflOQjFUkbRZJW0TSFomkRSTukEjY/v8TbCfDULiQ54+ew9uDCzlZLn6JIrA8NkKlsAtX2S6c5SPIbpHUyFSC+y9CiR1nF2eKI5duQ8tv4M2kThwFRcyywBvijPwQkjRO26fKDA+VMbz/QoTB2YAxvuWRNXD2YZLS2DAbHz33sWIiKaRIiR0MJ/PoTuURG+36LHD8lcWuR044jogosN1qZYfNQn2ZgN0tTjj/rt4lFDXdjKhZTlh27NCEVhzSy6C+RUdDHhF7FVr+ORTaJ2MSbYRVnUFFxym9TKF5O63J80np87HLWe6Z/EuabK1j67otNZszj/iot/+Z62f+kDf8hgmjI5Pl9r/9DlO0F9Xk4KFr7mDQbvRFlo/s5IMP38mko8W0Vp6PPTlIQ3man193GwA2Ncmtb/+Z+9JrEHSYJ0gIapaMIJIRRcIumdYlARAnXudV+xKcdiCJIh9CSrmZ7HqALZ7TAdg4ZToNxUY7c6H+FNfwZ9S0nZYXz6Tf76OoqJnJUwy1vq4IfET4K/HRkeMbep7hoRJDpV6lH6V4z0H0QRdPW74OQFaXWJ75JYtnTePua+a9Tya9j/9evFfB0f3f+xLSIQ8xhxdN0qk//Q9E8lU+wX3oo9ULHtn7BX5VcS273PUnVSgdD0nPcnn2JW7fPg1vzDCxzTP9ALtkSAO7iq0cmuykq6+CI4dXIo3m1k7vDFG5dyuuWIiHpp7LI1PPIQ+BwXwLapmdCkniZ/sz5GfTbPHZ2ZEnsdXRTyj+Z8zC/rHtq6lCzNHpnCeAEinkufR00qMBSn4iSFl0gKb8ai5x7cJXtYFeey/7UxJDikj1iMzlTZOw1NzOHYvySY96JokJBdOmAQT1+OdOR3IewlS5HpOWazStaR1/FAIRHV9UYECuYJ9nLulsORcO11CXHe006hqWdBhrahhHopfKzlewJSfaSghWL5ZpFyNXLOOZMgs/LNBY8Oo2zmvdyrLeBszayUciNAS63AVonlKS9mmE3dUk7IUgiFg8nTirN/LQyAx6qybRWzxRfSNoGlM6Wpl/sIEFBxqY1tbMjoqpHJVLOOwrZ2eBYZgZSIWpiPZRE+umJDxMXbCTmsjJU3t250/mxaolHPRVUpwYpjg2ZHzHhymJDVEcH8apvLOPkopAm6eEtC0fuylA2ppHyuonZckjZc1Dla1YUiNUtK+luG8z8nHpSR3OAh6tO4uo2Y4/aaRPBpJh/Kkw/mSE/HQId/pEP4l/FioCh30V7CyYwq6COg75yiekZp0K9mySqSMd1I+0MW2kjanBDuzKRMImI8kMeXxE8hwIXgW7N4zLGyJrlxikiIFoJcmUj4zZTNZkQpVzhIWqCyiIZEcrX2SRyOoi84UmPiw8Oeah0K97uTrzDVr1k3nuArpOUXaYK7JvcUFmCyXpYaPwhqgjSIbh6LG/s4JIk1DFoOCjQuqnUuzHKaQQBB1NkOjMzqE5tYKU6GW261WKZI2UtpiUtgDtOM+BUyOLLPQQdmzh4RIn7SNFzNvXyGl7d2JPv0uvLqsV0hn4OyluqmjmzYXX8cM1KwznTllAK7BOCNpsapxLxb9xDi9jxvDhCB4to+R+AV+wHzBUj12BAI01JejpBMJJKgadDILgora3h6rBIUyaxpuzF/Odj35mbLopmmRO23/Q5jkIus7CZp1rXnVQHg9TND+MtyZJOGPhhZ7l9CYneoQUB6PMDAl4V30HQRC4frnK1+23jk2/461vM5LK4wKG+fWPbng/ze19/EvivSST7vnUv+McMtNZacPWF0RP7sTlvJA1/p9SZjfI+7hi4rfNS8aWObuomd2+5bRheGuYgoN4BgYJVJ/JQbOR4uZT7ZR2v8oVFdvGlnuhu46DkQJSopkHK24iMxqTfRErS8mQj6HASaLzIaWPftmoSmkiw/lV+2i0reeT7XCmepCHipYwozfIaWQYzHyfExxlAVXbiVf+Ex7zkXc8B1GsNFvggEXmDx43ZVmFc+MJzo8n8GoaDWYzj1rKqI748TqamKYofDuQx0HLxNE7XTMZlVWPnae+aXiSuYIWN/A4NXTSTglPcD6Rce2/lQRnCutp1GfSQc4/JmqKsrFwIwE1yf7uf8NjPwBFLzMm8NbhgqCbunAd7RhpNBV6O5fwAk95LdzrdZP8O2lkVk1jdTzBpbE4xYrCb/wenrc5UI8jSkp0hStJ4rTAPsnMGykT8XFqZFNGQJF1cj/pFMk6FlFH0QWSionhtBst68Ge8VCYNjEpozArG2UafRTb+0kWZ+grz8XlalYmmV5AxdtBrM8ZMWms3Er4a04EbQBQ0BSBaK+bl6JWwuZhZqXTTEtnqM9kqM1kOfmQ4j+HXvI5IpbTYcsn6jBhdURx2EPYHUGsoylGmiaiqiYUVSam2IiqdtKqhaxqwmsJU+gYxCKd2sfqVMhmzZhMJy7XESnlhdZz2Nk/B/0kiubqrMiKlIRXDiHoIubjBn91VBKOLpKOLvSxFFeN/Px2yisacDhOJOvGIzpcTqR5NbGu+eijvmeqmCZl6ydl60OTU6CqoCmkpQxDliAlIysoiOcMnnX/C5zm/BOz0mkUQaDDaWK/w8LDop2DZjOaIHC5N8MK14kDvlkN5GAZlQdvQ7MkEHQBW3AqSTHFFuc26rUXmZ9tmsD/hXSZYMLJcMpJSq3AwSzyLMuQLLlzo6DyvbJ72eHch1fVCKgqq3v8XBcaweE1+gfdlnzOWPAgsdE2a8lAnC9tOMBfZ9fxyCTDQsKkZXlzx82UDPZy9MV8pFFDftUtcuV37yFoNqoAy4dCyG0nDgzqAmSW5KO7T1QN2KIKn34xjCM1SMo+SMKeIek01EbPzF5Or9dQn96q/5YzeZWhpotoby8g4cwgCCqLFz6HyWrM/930bzhoNdLr8jMjDJqNc7FMf4uj6/2sSOfxM8vNmEdVnR/Tb+biC8/n/IXn/reTSf8/qrm9j/8D6FQ0rtr+JwAyU1WG8lV2cs4YkVSSGmBZcDerQtvJCDJveedz/cwfjY1+HQ+/0sId0i8pN3UysMiK1HA7rsEZWMVdY/OE7EWEY7Dl0PkUCsZLxB6PM3XLaxg1GgRenrSYqioXh8rt6Hbjdm8DblkgcdHAC2i+GM84ryUtloP/y5iSjVi796B216Oli0gAT0op7pj2ELEWkbVJQzU1aPcxaDcqXGwTS/hqcTcaFm44tBjHehVHzWq211Xyubk2MsfMtxUNqSF4EiIJQEBR6skvLqdY3UeJ3snCxCCL14uwabypXCuDthFeL19AdfYNZihtKEEBZzyGdIrOatZkYXjm+dgmnU2RYqbDJvDTgI68N8jewGT2lNRhnWHl7IYtXLDhDap7j0unQaci0g+RfsA4/1nJjCI70EQznYUlDN5YR29R4dgyvkiIjz/+Jxbu34cnbihwHIUpis4JM9fVTqfFy1ZvNSvy3sBjieI2h1nXtYLHj54/to5Z0UN8PvgQgYY041O25w42M3cwV3Xl3UJ3BDDnT0cJTOWwu5Z+3Y52kkuhSkmS9hZUWx4PeK+kbcbpXHPoNc7q3Dl2jitiA3xx54kjOP8MFFEyPpJERpRRBImCRGjCPBI604LtTAu286FDr6IhEDdZiZrtxEw2omY7UZN97NuTiVE/0k5lpA/x75AKZlWhZGSQkpHxKiTj+c2nj3r6JsyfEWWiZjvdzgBtrmLa3YUkPBbs7gxVlgGmih1cIGwZI5IGdQ83Je6AmM5psX1jBGBeKoIvFcWXjuJLRTGNU4P1cPIqMsfgI4IPI021Hw/9eMZN7aaKR9EEkQFXJb1+NzWlj1FY8Asy8lQS6hIyygJUCpDFAWShF1noGf0Yf5MdIjkso+22cW23FS176s5B2uxm2FnEHk8hRzyFdLgKqJ/VwHnTXwcVpCGItXnZtHMZ5eFBpkda8cVjyIpxT0lahrO3/oHZva/RM9+KKsnsz6vl4RmXkjQZSsqk5OBhbuK17IV8pO9hznprO8U7hhFSuXMW9FWxc/kcMlYLgpJFDg8jJeOImRRiJoVwigEkXY/SXOTiaL6DsmCUhQd2Mav5APsmT8MSjHBe0xaK1HrOXric+w7fx76CqdSdncci8TncUpK9wSLWD1ST1XLBtlnRmN41QHE4jmXmVQiCwEGXyAGHiwG9gAIGAKhydxJJeCj1ndoX7328j/9NqOxcy4C0CGtrh9EyCzaKZQWPnOs4ysfU0oIHs3UyUz3bgaYxMinrziM10MVhqZtjbfU0rQy/6wYOR44yxW34h6woaKM74UG2zmANVp7GeKH+iTR3ofNjFOYj8RNSY0QSQFZUeMP6BHmJIrp6P0+H8w98bHgtz5WdQ//RmxFHt5lSIxwO7yaY6SeY7qPa2c55JRPNcMcjjYkG6tjGXFo0kenqm/y5p5siVUVV4VjNj5mZDDMzR0E4ip4wtB8P9/TxZ4+Le7weUqNkzXgi6Y7hINclX+H3+OnDiEme42xmcIAN+uIJMWe/tZ8d+Tt4XEri0HZSM6JSGTM62K6si/O7V/Ih/Vl+prTRHq7iu9oAXyzwI2cqqAvVYc34GG+52yFUcqfpWjY4t5EUc6laU9MZ1sTjvOKw02jJqTdSosizLifPniSdDqA8m+VjoTDnxxJjnbWrgYwscNRq5m3JQqPFTJPFTL8ggQ7erMbqtgCrK7txOVNYMhqWtIY12YUlrZNwiAT9JhJ2iaRNImURaRVExte9Tac9VFX+HH/NUrp+novJHlp0Oc9xHrU0sjS9jVXBbawxlXFpYh/C0KlT6P8z0BAYJI9eCuijYPQ7nzQWY8QkPvoZB0FQ0XUBjiN0OlUPm7JVY2pt0A1SyT7AFGcHdY4O8u1D2GxRdF0klXKOfdIpJ8mkk2DKy6DiJuFOsqxqA/X+w2Prr3B387HZfyQcd3OkewbN0Sm0ay4SWTtJxUq/bONPJitTM25OS8mMpyRS1n7irjY0KT12DAUFrZRXNI6lQI1HJOLH6QyOmTcDuPyduPz3k808woGuRexrPYNsrBBrtgRbpoS4tRd7ogV/qBO3mqHYeRGSnBv4bShex8bKV/idUIisGyVLjic085EpTDuIyHEkXSIaCaBrHvILCvB5VdLp7XSc9u2x+W0tZbzoEnguPYSuwzURH58NhrCOxh9eQcHrCFHtCAFdwCZ09bekEw6UTB5YE4S8ce4cyeAbGu9t1Qfe3H55EnDRvl4emWcUO9lS4OAvS308WZh7pj7e+Vdqk53ghLwpccIHnQiSRs3CIW7ofZZfVF4PgFYNgcN9DJknVuBVq5wTiCS5MYgyw4hNky6ZP5aoXNbr57zNd7H2ggvH5gvbcm1pAX1oWQsjzWeScR0GMui6xEDLaZRON7yRCs37OTjq1XSMSAIozPTSGs3jSrONVm0qddJuAJYJjRxoGeT8hefy3433lUn/x/FejbQ9vfEFUo13MPm1JNp5OpFqiR/yDRqFOQB8uOtvfPPIPXxfuY4hp58dsxfSZi0dG3U3JfdgTWwja65CyvQiyYu4wv0WKzHK5KILVDcuoCb4EgCabqFTvY+fyUPkkfMXyG9sZ9XRZlq9du49/4Nsnzsf7RSV1OSGIHJPArclQjLfQzzfh5ZnAVlEHEhiaggijHoCzS/czYfr/8IPNn+BjlTRCeuaXbWfQ1MW8IGjdj55JMNGv8Tn59lQjkkikwrmbUOIqePUP+Y0ZIzg4oalFZzh2g5sZfLkJZSWXIUk2Ym++Sb93/s+2e5/rKOliiLPLVnFQ2dfSsjmAl1HUDRMcRUOhxF00CWBzMIAume0odR1Zr62i4X79zFtpJ26YAeu7KkNrtfPXcSPr/8ICVvOp2nOoSa+8cAvyYsYQbFukShaMISvLHmCMjnokTkwycV9nR/kjc5cpTSfJcjn5t9DibMfIQG2LTL6KwX4IhOrU70T0mYz/YWF9BcV0l9QSNZUgStTgZhwcTJJcsYcJGnvRjLHmKdWIymF3EaS0UEMVg+PcPnhVyjr3/l3iZlj0ASBpN2OZvdhthfgsJUg2/MR7AFEex4Zk5l11sN0ycGxZyEtybwxdT7tgWJ8wSDL9u7l8u27KenajyXzHlYMF3RMdhUlJaL/A9UR3w1ku4LFo2BxKagZkXjUwkjM9V+i1vpHoQkihwsqaCiuQSqLY5aT7AvXUx4ZoS7RwQzlCNawghgG3qHIiyJZGPLPZCB/HkPeGja7FVpMMRwWCY/DSm1lCX6XDdvwPSzxvIwrpuAM6zhCIp5MHFHQ0XWIdlvo2FKCNE4pZvKolJ82hMWtEpac/Lb8g/yu7EoS0kRz7OKhfm58/gnO3rYBSdfpL1lIzVkdhPyTacyU09KfRjUZI5UZBXZqFfS5XTiKNPJCg+SFhvD39lEa6jppQoUjo/Hi6WfRPFRGoZ7h8uIwH/rgmTx+/+WcHU4hqBoJ1cT+cCHt8YnEXwkBpjXtwKKoIJlwnvsTBLOdh/1hfjG3lI+LP2MJRjXEhsOrsWxaTnXfA5z3yuvvK5Pex78k3ktl0vqvX8POo1Z01SDv8+3zkbQGrqt+fcJ89/X+mhTF1Fo3c57vJ2SQ+an+ETKC8c6Wo0EUl/HsSbrItenlWDDRGn2eZYHfIY2S+VHFRp/yI4ao4lriE95gJQhciZlfjGvwqhNHabXX4Kj8FZe3XElhrAoBlVXen+KRr0JTjPQNVVd4o+cvjGT6ENBZU3KQOvfQhHe9xvHd+xwUJORRa25d//vZSxlAjwn0e0W+F8hjs802Nu1Lw0E+FDE64D0U8HuuOalSRNNhNx5aK/6CII9r5HWYGprK9FCu2ZBQWKlvpFQYIIiXt1hIeHxv9mTHJCjsCuwiZOtg9lAFLcELGNZ9zBWPUGXdy7DnKNtdGcKn8LorzSp8JBTmwlj8Xat7wqKIVdOxvIvYRBMg4pIZ8ZoIes2E3TL6aKyqaRUoU+/lb0GZzu07uPvH3zROjBnu+vxtzM0cZGVwB1MTre+8EUBTIR0yofmnYb/oNoJ46Wo/Sl9HC/HQAGay2JU4AW2EhMmOJogMjRJIw4oXIasjqSqCrqMLAjZHmDx1APOQirVHxZRSkRQVWVGQFQVRVdlWJ/DMEglVNjysRF2kwhqgrL+chsg0Dqn5pE9yVl1CiqnSAHlCgqhuIaJbRz+GhYB6nAKvxtPKBdWvMqeg8d1dICCpWEgpVlBNSJqEqKtogK7LCJjQRRnJ3IPTMjHw0HUYGC6jq30miXiAlHWEfG+Y2uJDOF0nWhBkVZknmi/itY4zTnr/2zUoVkWKFJHJngamLnmQkL2WI1SztW87IiJZLUs0azxL1qyDD+79Mk4kXHMfwhVoxeEIIfydKsPehyRC+fO4u6aFo/YU1eksV/bnk0hXoCChIqLoIhoiCtLot4iOgBkFC1nMQtb4RsFCBrOgYCfFUvEA6aSfIe1O1sesPHSGi9aiE69rXjrO7xM3srhxCFkzYq7koBnZrmJ2qnRb/Sxc9Fc0waBri3vu54xNbmKSi4TbSdCls2/+MtRRhntBd4SW0F2Eyz6H5jEIK6ktiu1ghGs7tiHWGc+RIorct+Lisf34uf4xLI219O6/mZHANlTZULb7Q1VMP+u76A54nkt4RLjhhGO4rf+XTHrZzTmFl7FZepgrTQ8DcIACdlz8Na6fd9N/uzLpfTLp/zjeq+DorX33kR36IebtSTILrEQFNx/nfrRRZdIzuz/J4kgD56R/TLO9kvQcP3KknWzJaOlsPYu/+98go5Pq+SBZ00wyiwIU0cuV+l+4eGg9k1viWDMGG59UlzCc/TpZVF437aNLGqFLdbPDUklhfpq9U+pP3ElNR8ho6NbRl0JaxfJWH+OtknQRdI/ZeLEqOlIsa7gJo/O5+fcwkvLxx6ZrAZCFLIpuNF46oExxowWsVKd1jjpEBE0HVUcIpjEdinB8u+uyHSCarONYmPW3jy4lenQPcGKDoCWTDN17L8P33Q/ZEysrHEPI7KDfnsdRTwlP1J5Bt6vglPPqAmTn+dECuREp+VAYuS1GwGlmRqmHWr+d6VqI6oFWHEcP0v7WNopGukEUuPcD1/DXcy6csM6rX36W2559DEkzTmpH8Wn8YNZqptdu4SO+x6nqj+OJTpTJKog8oJzPL5TLiGOj2N7HF2ruwVsYmqCg/8nWTyIdNbGmdTOn9+xF1lQyZgdpj40Wp48GSzW9Dj+9Dj99Dj913hHqsyFsqSKsiSIk7cTUSl1QSVn7STp6kCxZ5thqmTZSiKCJfJQ4BzGOw6MK3BS1YEaARA/WrheoH2omKVsJ2tw4rD7KbH6sVi9HnWkOOeIk7TaSNtuY7w2ASZco0/xUqQW4dCvrTE1ExBxZ59btSL55vBVwk0poiDoEnSIjLok1/Rk+vusoen8T6kATynALgn7y1MSTQbRo2P0ZbIHRT16WjFnCoipoWYFsQkJJSigJiWxSRElIKCkJNSOiZgTUjIiWEdG1vxPtvwdQJYGIxUnM7gWrDbJZ1HQaUTHMys2agk3NYNaMQFPQNeP7XZJ8/2lIMOSfRW/+Yobz6tEkM/lyC+d5f4xbHvhPr3YkXEDzhmrc0Vz1dFHWKFoYwlNpBB2Dkpefem/kkboLyZgmyq2rejq5/tVDXFz8DOWWfbn1phwcjOdzNO6nL+PhofLriOg2sjO8qKWjo2a6TsGWdmbFmph7dDfoJ6bvhWU3oqDj06Iof+eWS4oW3spbwY93vooldBQdOLz0ciaVnYcvq6Pu/CyP1N9JZtkbnJb/KADxvml0vvU5dk0f4L5PXvW+Z9L7+JfEe0km3fuRrxANNYz9Py9vNVntQVYXT0wNe2rku/RkZnC+55vU2Iz5H0pfyFHLiZ4/FSaZ1dHcoExf8tss8O0Y+1/TbQxnv8antclsGiVw/OYRzqjYwHNHLiA7+sKdg8RlfS/zU/9CKmWB88I51XFBUTNLU7n4auvgC7TFGnHKKS6obqFMzqXXKwi8Gi1jT3wOgUI784UmZnAIM6eOYd4NwkMWnO40ik3kTauVN+02VscTnJWYOPD1onA62/T5E36zWqO4ypq59/DVxOQBbBV/QBgNAnVdIBueS400xMKheWPKKwAbSZLYOB59tj4Oew5TlChiSmSiOW/GGWHILrCjfw7BtJcaTxvzC/eQZw3jkkJElAEasxkakNEFgcKMwi2hBPX4GTH7yYgmsoJMRjRRLirMiTdijr77AbV3C1WEoMdJ2FZEV7YAUyaBS41RHurDpcYRTTp/r9CWgsQ+1xSyxXNZOHUZsYNBur97D+gCkt/P5PXrEMalxg/3tbHnRx8h8GYP5rSCZhVIFtjRh3WsqTSy+u5jm/GwzZ9P7+IqvqU+TW9eLlbxW/O43Gbj8KDGG9FyksElaOmS/9Q2AKrsQRZYmyi3DFJYeJRAfvt7buOk6wL7+6bzyNGL6MuYMTkPUluSZK7/TIRMFb3BBOmRvUzOX8/C4l0npO4dHKnlgcbrGE75T7GFHPJtQ9QFEpw+40xa0ut4oec3Yybcqw/fRL3mo2Tp7zA73/n+0zVy90oWAj+VUXvN3L18Hm8XrEDNnMLi4B+ESw4iVPyOe7o/iTlaxKvo/PY8D1nTxIvwqch9LHG9hDecZXZDGPm4BI7NlQVcnf8Z0o7TAKgNx7ln2wg7pXbapCGeHZeq5k9r/G1DnO+V/JytBVXE/aPET1rFsq6PSeIwp5uPAtBly+P5RYZ3kqQr3K9dR/vz55FNXcxwwWZ00egHVR51MbXwtyTO19jFfH4mfPWEY/3C3n/njKMfoNhew0+Fndxl+RYAii7yW+eX+eQdX/pvJ5P+y9LcBEEwAXVAPuABwsAgcEjX9X/uTfI+/uWwtduPpEgsLJNBENjJojEiyZ8OsjBisPdThC6a48W4Dv0FU2AdQfUuNMkLgomEfAkcqkRX3IhkuHrLE6wc2cM88TAV9olyz6i2EgATEquzs3nA3cna2loUr/W4ZBwwZzTUzjhyVxylxI46eTRf3iKRnevHtGt4jOgRNBCCJ8ulFnj4wBV8aeFdmMUMGc08SiQZY24CYDocgcMRehgvGD41oslpY3+LAvz7s03I2TQei8Db8SZ0HXRdR9NBVVWCpqmw6kPUHWrAqmQZsPugsAh3sptIJs7rBafR7qp8hy3moAPZGb4JRJKpLcwHXRauvH0GC6vykMYZzaWVpdz4wDY2swyLRUWt9xIvyPkOOFSVj2xqZGpDhrbKCxB0nWH/dB4tLKLdrNLefRYbe5ZxtnsvZ1QfYH5oD6VBY0RFRuN2+QUuljZxX+R8zn5xK55MEs1iQlwzFdONy2jsPcrB8BTwQ5O/mp7whyjP6qhybv9DJoW37dkxT4OtSRfpdDVnJ80Ix+kuFClByt5LytaPIGssXLiQ008/HYfDgZZS+O1zBzi4M3fP3aaaR68yYC8hWHcbn5mXpl/OkRcm4DxMXIWZpUKUfXI73cIIKrm3V1ZQaZUGaJVOJB5q/DXUOefS0RbnzIMnKpA0AZ6wlFBSWoK3bDUOPYNbieBWE8hKEj0TBzGN5FYRrVnCsWbSsW7yTD0U+0Ywu5SxYCeBhZfFFWzXZmMRspSZe1lYAbWWYdTOHZi0UyuINAXUrEEsKUmRdMREOiyTDhvf75QKBqBJAkqeiFqooOZrqHk6mhtUt05E8nKobwlDSj5blCqi9hIumVPKNYsrqPbbOXRwhD2behg+EEKIn8SsXdeRHP0Eat7AU74VSU5Av0h443S8hyT8wVZM6qmVdidDVpLoKy6mv2AuMcdKtHF+b/W2l1nhvh9Z+MdfaRlkBtU8+qUAEafMwBkz8eyZTEWXERRoikjP5jwGEinEYpXUZhs3hf/GBd7XeWjNpby4bBXa6GhZW0k5P7umgHn7n6F8nL1CnjXOMmucZf42VF3gKr2BbXodBw5VslecTWNgKkGTh4GlVbxGFUVvLKG8qwE58iYpORfMexQjlfDk9vg5dNiKeTWwmunhIJbQURRR4psf+SybZ82nIKXx2MbdKD0KrkkC9qYSWGksZ81rB3SWu2oR/gWMVf878H7M9H8LEQ6OvZV8llKGM+3M8dtPmM/HNvoT+6kszCkg0vrJQ3dXzTrCDXPxaMa72eH4Ig9avsEN6cMI6IhCkoDpW3xdXcQa5VMADGfyWH/09DEiKQ+Bb2PDHjiHpeEN7PEsH1u/Pa9zApHUHNlJW6yRSe4Rzi1pxibkYqchfDzO+cSdVtIuD91ANyW8zHKu4gWq6TypGlLNCPTGrCiTi6gaPrn6xRNIk02ISKrGaXqG8wYTKCIoImOdRVUE38xGrIcmk0oZ5yM/v5XayVtRohrPWb7Gp2OfpqH7aixFz6FnvaT6LkJLVTBie5H1xW9xZt8SdH00xXgckaSjE3eGKGg+zOYlfWiiwqBtkCHrEIsGFnAskckcc1OrB7lo4X+gCjqu49KW/MMZPtMRY2OFiyOylaP+s/hq2Y2krLl3jFuJ8p0jv2Jhqhlh0nlklSh9SiPpVC/umIIrqmA7rhKcTk57nY2LhAQzg1PsOJMKBaEEVnViSy5pEAjGCASPMIlxZKbMO/YS260lrPMtYF3eQjZ65xKRDY+aD9p8/GSNF354nzEQNDxMYscOHEuWoGsakRdeIHjXLygZp7YXUzrWviSiqp/CCuLUcJ1/Hs7ly7HNnYu5uprycJgfrX6e367KsrneiEeGUyPcmzKOR/T1YvduQ01WI46sJB6dwlU6yg4AAQAASURBVMnU6scj4LQwq8zDJXUHcSa/Pfa79z9KSep5JFaqyHU2RJ+ZUKoHk6Bg/U+IvhUdDg2V8cSh62hPGOloS2ry+PoFlzCj1IOu6zy7t4cfHRigN1zKhsFreeTQpSwu3skHatbithrv66l5R/jO0h/yxKFL2NC9nMw7vFsHkwEGO2FD5xGgDIRvIdnbCUgjlJTtp2Ly20bl4nFQVZlYLI9o1E88nk8qWYSmwYwZT2MyZ8AEnZ8w8f1Nn6NXLIB/3KbqlIgqPsSuW/h5wVPclf449f71nLXvLNbOz6WW1fckOUcLE7PaCHlgz0wPcxojyKP3V1u+nc/KFmyRtWNk0hGPg81nf5fJWiv749fS685V3PzS/jRuBS4Ins5e12Mk9OsMKxeLhOa3UBTOVQbvHOf9FGCQob4aer0+7LGj6ELu+csbaUVtM5NZrVEqTbQYARB1FV+PSLG9BoB1ejUp3YRVyCILGouFf6y40H8V3lMySRCEfOAm4AJgEXAya/eUIAjbgBeAB3Vd/9c4E+/jn8JcV5Q7G0zMqTUekq3kTCNnDzSNpQVNlo9gK96NbDcyzS2xt0l6LgLA45jLadrbvMBSLGSoTnRxgXMTJnINWBaJX1Rdyx55Od9tVOi3mbh7ip03imacsE9TwypXdWR4vC9Ey6hSBttEqaoWsJJZYcXafAi9vxBOol45hr5EIb/a82EK7IN0xY7lG7836UGaDo09RkOkA+u62k7+arNP56W5x5PHC/7h7SlT3GglucDV3h3kp6HtXPbZL47bJ52jyTR7wgnu3tlOs19Ery4mfVyd+hqLmT/PmUTN2fMJDSTY89oRDm89QmeslQ7JDhiNe1i38UR4CU2xaqZL89DUOJ+VHqNCNJqAIiHI1z0PEz/NTN9OD7bTzqbo279AzARZt+MVrpLepFroZYrczWxTPyZdQUVG1U2omLhUl/kCMj2iREKQ6dXzeEI4nY16HctTJhBUPOV9CIEwbQNBsorKzJkzOfPMM/F43LRG+zjYvo+3Dvfw+G4zx67tuVMSXLiwi7ZtDvZvLwYEbLrA9XETh319dEo6HbqZoGrnOR1eJsE3vRv4gG0/Lq+fAUctjQkPOzviZI5TlQmahDntp8Q+jdgBnR3aqZtDUQd7SicEhNAxmu88EPPwBswU1XoonRmgZLIXlyNF2Wvfhp0vwji1jorINmazniWkRu/1JDKBpdcxefVqBEFg/euv4oh3sKhII9NziFBPhMhAhGwijSBoiKjGx6KCRSfiKmKksJxhpYJgtgwxlcIZ78ER78WWHCRrcpC05ZO0Bkja8klbPMbQlaBgcfdhsvYjSyGiQ3aCMQ9DgsxmrYgBwYQSy/D0+jYOvNrJXMzY0saxHP9sSCaR2nkFVC9QSIovkTr8KmGXbBx5lYa7qgFFlWlqPI/Mrpn4Rtrwhg7jDR/BpCTJyjbSbidZv4RWmIHyMKk8jfbIZLpSC3BFpmJJ50b3JBmWnxbC1/kWJN7ZWBuMdquPAnooZEDykg6kMZcM4oqHmO78OOoCO8qBr9Bh+yyh/bVMO/inMdJL2WuFvbmWJj80wmcf+QNn7u7ioQsuY0+NCwSBhNnCFTN/zqd23MdtoWcIWCcSgpKgUy4MUs4gsAHt8MPcm7iS71ffTlY04VASRGtaicXnkK9XMH3/nXTm2Rlw20+ae6ILAlGLi5jLjplBUkkLzwQuAUHgktYX0YG7rr6ZzbMMZcCAVeRpX4pzTUZ7kArmiG/JnMBWuIdSX5r/THv2PxXvx0z/d1FUsoAi0crR6F7KXNUkRBPl1hMNq222Jmx5pWMFRqKqj2el05hPF+PjD6s1SlffJI6ad3NZegk23YJLs7M89h2G9SbyTHciCmkEQaVe3sx3cPBN5WZAYFjzAiCg8S3dSkAQQXZxtamYDcSICRZqJIGFWuXofAli2Z2klac5tzTEDHf/hH3eQz0vsooM5gmNtZ0EV/ICpXSz3mal0WKmUFHJV1WKD8hYmq0kR0y4P/tvVN1wHdw9DxLjlBCecggb6k2TXUNTwZZUGMyTccVUrBnjHOlA4zQXCY/IzFmv0dtTh8s9iNvdxYzmMCWDGQTgUfN3+VbiJh5t/iqirnJ61z4uaH2WOV6BX3x+Jq+K67i8ezFhjI6hiEKLq51QcZyKWd/ll/OzaJkunME/IehpDgYuoLWqnot3v40rayg8E3Efu3etobZ2GxYpg8mUxpLRmNISo2AoQ3dFEUeLq3iUGzgoTIztVsca+XHDNynKjPoR7WnHBJQDUYfEwclOIm4TpqyGPaGiyAJpswi6TkArRG70ojzTjpgUiH3wato/9WmeisZoO/Qchf2HWRLex6JwA3btHfK5x0GRBEa8JuS6i8lb8DWKvFXURRIMh2Ic6Q8SSRjr+WtfkIii8u1ly0iuNyqERl5ai66qDPzsZ6T3H5iwXs0CsXMU4mdq6CaQgiAPCEhDAvKggDQoIA+CGBWgxIF5xIo6ZCjg3BdfROmPfzxhfZLXS/H5H+Azjz1GfafOg2dLKMf5xFtFnTUlhzhjWiuFlffzp80qrx4aQUWgtshDdcBJdcBBpd9Old9BVcCB0yITjTaxfcf3x6KqfPMZyC1bsOs6/haoeuJP2KZPpyfWw40v3Uh/oherAHZB49Z1YEqX8dLkRYSddiRBRxYVZFHBJGaRRQVVl2kYmsRQ0og1PTaZS+aUcv6MIrx2Ezvbg3zvhf3s7ghNOB6H1Um1p4fAOg0xXyQ134hLrKYM1834G7NrnmJr80I8gwvQsk58Rxo5mFdKi6eCqPkknl26GXO6jMumv8Wcwr25a6ULtBw8n6Gu+SjRUsqrPNTNKqB+bgF5+Xay2SwPPeWjwn8voqBjcye5esHj3LXro2Mpd3OtKUyRbuLpEEGXhaBTRZFTxmj+scFXXULXZRj96NqxbzNayjC81zIFHOi9kD3563DNeZA1R9roSFzEfns1TjXBRw8FKcnczv1Dj9NY8ipLrRLZOpEpvTGiZplPO33ENQGT1oYrc5CoeSoAa7mQPPFBHnedPXbcs3r7OXPA6DMtj85leX8jWx3d9PmMfbEX2imOjiOL83MK7wL66OoySPiEc6JdSWDoEJrk4q2ues6sfBuTniYr5MKAQvqQxA8CEEEnhMwubTIV4gAeNcq8iy898dr9N+A9SXMTBGEy8B3gUhjzFhsCDgEjQARjpM0HTAWOReUZ4Engm7quv3PZh/fxX4L3Sra9aftzPN55Bxd4s8Rw8jHuH8tBveHwt/lxr5G28LLNyReKcoytOVNJd+33xv7/9sG72d1dzpfFR6gWJwYosV4LzfuLueaL93BNUwM7S0rYVVqe8yUaxYrOIDf1mJkV0sigczbRsYY/vayAy2vzeaI/NDEhRtfwxdbyMdrwF3wNQRAQBRBFAVHTCP7xDwy09fB8zWn0OgP849CxCBqFeRLdiVY0xYGezWd8pKWLoExyo5Y7QBQQ4lmEqIIYyyLEsojRLKT/2WKxGqZKK9Gp+WO/SMNJbn36l3zqBz8gW1DCX/tGWB+M0hBNElPfuaMs9iS4RtD42bXLJ/yu6zqHNr/Ny398gDekOva6Zx7XITXGzixk+Kj0HJ+QnsY8btRD1wWE4hkw0gr/pE/QHm0SDeYZFM5uQHIYhJ0k+0ia60kpIYTsAHZ9BAmVvYP13LP3VpTRihguU5TvnfZ9nGajYx7pWEDP1luNF9wEaJhdfUx2vso84XXc2onGiYrJQ9A6nY5MNYfDpfQnq5Ez+Qj6yauxeQvtOH0WQoNJoiOpE9IkT4Uy817O9P4KlzhRjtxsWsQbptuJpPOR4knEZAY0cNhd2G12NFVHUzSSyTRoIIoS2eM9vkYhygLVswJMXlCIbJZIxTIkY1lSsSzJeJZYKEh4uJNERCMbC/CfJV3T6BNKVx+P4loPtfMLmbKoEKsjly8/MniE7GNn0FxjIm2deH6zCS+D+y4j0rEUdA1JzUxQuB2DKqVQ5Ciy4kJSxyn4nAOULv0tnqIs+fmrMYlLUZ76CeF4ijBOeq1TyLoz+PMO4HV3IAkaGbNIVplCT089itpGTU0uOAulPHgsEQRBJxPNp/WVb2GJRZmx/37c0Y4J+6QLAt2Fi+isOI+k3UhhVWq28fN5q0hJowGIrnH228+zqnk9VZ4Q+d4sdXIPlnHqqX5zHp+u+wrr8hadcNyCpjO1K8PFb2/gvA33ETfLhOwWSmaFiXkcPCmcwTOsIO5xkVlSgFuNsaxhC12tZo44a3Fkkjy69js8fta5/O6y6yasu3ywl1/++OfsXPBlAOov+Dc0h0GaVbQr+C5+kIB/5f96z6T3Y6b/mXgv09weu+s3FHXqVMjTGLE/RP/IJNb4fgJM9BjaZ89HUKPMHK0euTN+IZ8TL+Pqmr/R3zt1bH1O5xDRaIDXPJ3MlTW+3HPLhO2ZhMPkm7+BKORcix9RVvF15ZYxP5jPyY9wg24nphqGtCJhXky8gs9i5mxrFxb6kMVOZOHkqS4qIg3UsYNZ9JGPMs6bpkjvp1DrYLM6mfW1r5IY5xfkSuj8/hfq2DFXP/MM1ropsOMP8PxnRn8V4BNboekpWPfDsWVP5rOUkQXCbhNhp4l2X4CkKU55KEV9WxyTknuR7rWYuTPPx16xiC/udLNonWEa7rn0UmzfuoMrnr2CvJF+rhkoRxE0HioYoNthZbDgWyimE70zj0HUNBa3NjG760QTcgENWVTIyhIRi5MBe4CI2UrCbCVmtRO12kHV+Hz7QW7+xK0Ib/0E3v7pSauB6kBPoYWD5XkksCJJCrKcmVBCHhXMLQKOnnzqv/YUVksR2WyQtzadQ7MaoFmbCpFiKmODuEWN2rxCZucXkn3yBaKbdqJlBBKToO8aibRgorBwDvPm/QnhuLy3qKJyQ8NRNody99fHG7Zx5T0/N/6RZVCO07bKMr6rrkK/spb9PV874fhMJh9ORx0OZx1OZx0u5zSkg2k6bsj5ylQ/9STWadNOWDZ95AhHLzQGqluK4O7bi+jNGvftWWVLWMUWnKOFe0wmH/PnPYrDUXvCesZDVRNs234JiYSRymQxFzKt7xMMfN3ow8iFhdSue3NMXdsWbuOmtTcxnDLIQEnV+fBajb3VJjZNsZCNziQbnoeWrHrH7b4TzJLILcurWBH4Gby5nrwHZHR0kgs0gteCYM3dCzEVHguaaUqa0TiW2gm64kVNlqEmy9FS5ajJciqcfXxs9gMU2HPG6qGUm9813Mjh4IkptmC4UthkiZiicl7Va1w55dmxaS8dOYvE6wVc0vI2FbEBFMnKoSlX01+40Ng3c4jtZS/SXLAdTdBwx2WmDMwhbXGQlVNkpDQZKUVWSjEcm0UwtJRSZy8zA/tZXLSLclcXgmCkWzYxk3I6CGTSuA9fyUdcT5IeTStzpl1csd/CK1ND9NhGfxN1zi6eze+lOwAQdY3J+kEOiQYBZNfj/Pzg55jZ8k3MJkPluF0+wpNFWV6dbsRQJkXjhs0vYNJUQKdhqY+N5pUArIjsYuaWRjTLiVWEr3jsr6gl0/jS0gu5Y+UP+Yp4Jx1C9dj0Gcoefvd6DRYEDqFyK3HspMhoEr8KfY/V92xBlOX/+WlugiD8Ergd4z56E3gYWKfr+ind2QRBqAFWAdcCHwQuFwThXl3XP/XP7s/7+O/Bhv0jLC8xOis7WThGJAlqCEXJybMnjTOZdWamcda+EtaZWzlSYTw8G3zz+XP/xJzRYXzEtphItEmIssa5e3bywOIlpI/zDakPq3zmUJp5QZlj7PbdUoZjtjK6CAv9Ue6etoAam4Uft40jqwSRoGsN9+l9/LC4hwsql45N6r/zx4y88Rgxs4lJmQM0VC/gb/lnk/n7ggRj1Wjc1vISBeo6fn2hiL1AIBueQ6rnagDcNpnPXjGDu4dG6NXGESpuM7rbzPjNmBSVPFUnu3eIRNCY16ymMelZkpJtLLUQjABrPFesywJKnY9UWW4UQohkWPX6c4grz+QzQY03W/bz9w5L0DUK44MMtZmRuhM8R5YvL20kvzqnDhMEganLTqdq9jzqH/4jr7z9JK8HVjJiPtYnGjWbxkzzkWLaWgKUzAvhLDlW0UKHvobjN/2fwhyxhTlKC/E9ZgZKJLqLraStQczKxglVNXb0z+befTeijhJFFinNx2b/YYxIAnBX7EA0peje9FF0NTd6UGpuYpn5QQr0Fk5l2yNnw+RnN5HPJuZbIWu20J+dTG92Gn2ZqfRl6zB58pi8oIApi4oIlDvHghIlq/LA/l7+0tSDO6rhi6nkxTQqgiqWlHHFTEKSpc6HmOlYO2G7I0opGyM305ExFCJ2NAwBhLH/mTBkwiemtamcSCQV13qoW1xE7fwCLPa/Zw26FE3LkEmmGe5JMdwVZ6grwVBnnKGu6Mli4xNwMiKpR9I4aFI4YtVYXOBmiSnLc+ua6Qom6Qwm6AomCSWy3ChdzreGH2Qoz0xPkZXhPBMIAiZ7iJIlD+CtXc/A3itJDU866bYl1TqBRAJwlOxBnvkMjSk/XU2ldEQthFJH+bjFxqXydnoLrdhLDpG0jV43BJTRjppsaqaisplkwsvQUDmBgDHC7rXm8tLMrkHyZzzDwN4PsnPu56hteYry7vVogkBX6WTaS64mazf8S3R0znDfS03kdTKvNfKrlZ8gbbGBIPLa6RdjzRO5ZuDnCKLIOm0WDyqrKRDCFBSm+MPUy08+GgnoosCBCgsHrjuLZ5ZXc+Wrz3HG7m0MNBRw24o7UETjugspFSGlUqIPUhGJ85ajDoDVHTvYOHvuCUQSQGd+MQ2Tc4G/NSqQGFWlp5JW/O7TTrpP/5vwfsz0PgBqzN28qG9ifW2aJ7ra0Uy5zvmwzUV+0hiQqE8OMi6bmu12H7fX30uep4uBvsnougToDESLeDVbTdbzIuvlJPXJGi4OrhxbLqr7yT/u7X6N/CZFwgjfVm7kTHkznxSfQ0BAlnZiEwaQhAi3vZucfSDikNhf5yJr7qdeeYWZik4q7iIcC/BG1wr+lj2TOHaWjWxErzTBOMJjboeMOPq+kfIDWKaMdlbn3QBtG+DAs3D6HZBfByu/DIUz0B65AVFUT+pTY1Z08kcy5I9kqO04sdR32uHn3+0izzus6ILA9Lwilg+qY1k4ttmz8Fl9/Oj0H3HbK7fxrUoj/URHIuz/twlEUqnFxMcrCigwm7i3c5DtkTiaKLJ50kx6PQFWHdqFRckR+ToiWc0MGXBnkhN88sajX5L43X0P4PHU4J3xS5zxdlIZhVhWIJ7RiWUhnoH4gI42cdwVUTRIJeOTxmTKIBenOfD4h1m+/BYqKy+ltvqjcOSHTBabwSux5Ny1OBxGKo2aiHH49v+ApIXhvDz21dUxsL0cELBaLTQ2/omioiKKi4spKirC7/fjkiUenjWJj+5v4+UhY9DuwdoZfECSManKCUSS6/zzKPjMZzBXGmo32e9nZGQjVlsZTodBHpnN+QiCgK7rNDY2snVLM64NGymUZUyKgn3pkpMSSQCW2locy5YR37SJmgGd/2gso+2a1ZT65jK37DyGRzawd+9t6HqWbDbI7j03sWD+X7FaT+6jpOsqhw9/d4xIAoH6+p+SeOzRsXmcK1dOSNOu8lRx7+p7uXntzUQyEVRJ4LcXSBi16pKYfdsw+7aRp+ZRkJxDU+8ZJJSTiVNPjvOmF/GVNVOxqutp3PcmhU+MvpsR8I5MZurCu1jX9HWsmuGb5pTg1kCGwymFnqzIQFZgQBEZyAaJmIKY3I2Azml2ncvy0mPm/QBNQ3X8vvEGohnXKfdHBWKjpopr286i2tPOglFV0/m1r+N604YrphJ2V9E07WZSttzAvFv38ONzfoh9coYtP7iR6me7MClbydzydQ6mJjHcbTzHJscgeXUvI8/4Ni578IR9kFGZzR4ANDOEZvyRT4bzeSCeIaiKxCxR/jg3xfik/Y/XzObMmmt4vCFF0GRFE0QOCbl03mt5EOfUIcLqOvK7DVPtqUopVcNbMCtZMrKJrCzSFihm8kAXLk83cVPF2PLWnnx2etazYnAlMVfu/EmKiqTrtLu9TI97iPYuprS0mw5yZFJhIjkWB3dm42CCBFb8yjBN4SKcj/6B5R/68Cmvyf8vvBdpbrcCvwF+rOt6z7tZQNf1o8BR4H5BEEqBLwK3Ae8HRv9DsWrKEJFRK5LxKW6WxA6OmnMER2U2i1WVKEusYGfd9dxXO5EQ2uqfTUK0YNfSKLrIH9Vz+blyORfW7ESbYeLVxSvoC0w0lS4cGeYTh9OcF3ZN0D+8RIanyiXENuN/wSXxwyoFURAwhZ5BVCahyfkT1jUgFHHrUfga/XyqspDwc8/T+uhfaKkspM/jAEEgL9LMLEshO5wzjWOURdLKyXvGNi3Ff7z1K6pChpOTO6Hx08tEktEc8VJU4eFrA4N/l8QByMoS/TKI1V7MQWPEQBUkbu58CJOukBVMJCUrNpsVcyZGo7mKHZ55hEoKyNZ7YbxKI6ngGRxm04VreM3uhJHIiRvUdYS4ghDJUhwd5CeJu1kUb8LkLGZ5/+cZxEcGE39+8Dd89qMfhaKZaIkEmfZ2tFgMLZlkcflkapeKrHjtKV60TubV0tNQRaPpufbgK3zo4CuogkQqKOMoSiNY7JCdSG4M6W7a9CLMBZMJlxTxR6WSkOzComUw6QoWLYNNVzBlenBH38ChhFkVzzAvk1uPQ81Q3QmVnUmGAma6iq2E3SY0SWBL73zub/wQ2qhKyCylOGfe2wR9+WzHj6xFsGSakdBwF7ZTvuYBUkcXYRpKMTf7GpXmPRP2V9UlDiTPQtVNlJj3E5DbTqh8YRLTlFkaKbMYZKuOAAXTEKxLIbQEXIvBWwGCgGySuH12GXMqvXy4qY3tGWXs+vijGud17+FLgz+hQO8dtw8y22MfZHf8UrR/oqn3FNioW1xE3eIi3IETDUjfCaJoxuowUzrZRenk3LOmqRpNu4+wa2MTNtlNvreYZEQhHkoTC6VJRDITSDlHsZ02m85zIyGGxz0pr+zv55X9x0XSo3hIPQdTRmH6QBvD/W5CJivWohAlJe14HBHsgRaqzvoRSspFKljJYPt8Iv3TMGVdiNrEdklH50ihwMuZySS3fnHClMneo7QXmdhQlDdWEWc8JMmOqubuQ5s9hM0eQlWliSPIo/BNfo1Q+yIyoSqaJ3+QtooVxF0DyJlZY75dGhoe8QV29Q3wemYRoh7i2tDvefyCG4k6PQA8P+NCXL0CPzn8M86VdjJJ7eZz037Co2UVE7ZX2N/LN1I/psk/lcelSxm05drXg5U1fPe2T/O7kSE+9NJT3NT0EvfNvAgQELI6pl3D6KdX0TTchOaUQNepV7v57odzr/LiwX7yImGaJhnmtK8uXMgZo1WVvZEUidF+WdSeZfiPfyTw4f/+wOi/GO/HTO8D2TWdhvznKdESCKqTCnNOrXgoUEB+p0EmjSeSDppNOKbspijPiCfq6jbS1j6boXiApzIzEX1bsMpGIPZg0eOcqRfjDNURQ2GS+WuIgjEtQ04Ot0rayyrpc+P2TMcp/H3RW0YXCDkkFIfEoEumKd9GVBeJKQJxTSCmQ9yq0JeuYGfWiAlFXaU+ehi5w8nuKQaJnm/L5xPpqRi8KjiXnZbrkIsSXHH/iRufdiHhos/iaPk5ZleuDT0c8RO+4KP0dTazqOc1CjMjE5eTrQzPu54rRt5maLRNLrAXcPeynxL8ygVjs9lmzwZgYdFCFtfczOaW+9ERiOXdRNZqkBc1NgufrCzgikIf5tEiGxcVeNkZjnP3ui286vDSFijmcedKljfvozQ4iPxuRlBGkVZV+vr66Os73gX0XVRr02QyGZlMZqIHV38/tLTspKJyD6evuBqLpYx0ugtQaWn5MbNm/ZZksoMDD9xGyOvn4JKpDBQWMn5cKZVK09raSmtrjvuWJBGPR8HlCvMBX4xz7cMkpBiyVaX7Oxq2bAYkEGMCeW2Tqbn8TuyzZk3Yt/z8c8jPP+eEYxkYGOCFF16gvd2wxsDtQvrAJVR0dLDkssvQdX0CgZPJDBOLHSIWP0TwQ1nCK7Jki3Uwb8I2uImRQdjRP4+SkquYNvX77D/wJUAnne5l956bWTD/UVQ1RTx+mFj8MPHY6Hf8CJqWS12qrLgdr3MBgxtzTbBz1coT9n+Kbwq/O+d33PbKbcSzE4nNKncVF/hkJqn7EIUuqH+Vktq/MpIuonMkQWcwQedIcux7KGYMtk4vcfP1C+pZOsmPokTZsuV7mNoFpLBw7IJQ/pt7MOdXsuaMR9mx/36Gen6GedSge4pVY4p14r2Y0QRighNFiVNgGj9NpKLyUzirrkHwh9jaOkJvOEksrRBNKiSyJ1evFykiPdtuIn3GnVjcxj0culFnf/4niaenwLiBb90eRynrYvvhRryDD+E6O0RomoDvQYnwi7/n4BlnYPYGyBMsVJ1+N5Ll5J6eyayNgsG5mJP5jFSuRR+t1FjuGeQrLolnwyIbYzL6uAIAN0y7nusXfZFdu3Yxtb2JzbUzJ6xzRqSBlS6jwmZk0hsEei5A0CVc2KhSfNQMdnOwuAqAwwVlzIruZ1rZTv5MLv3MFEpj8hZx+hNv8caZZ5IarUBpGVWbHnYoDBdDQ+tqSkqaJqQGz4zmBm2bk71gMgzM3dkoeeYE80+be9Jz8f8b7wWZVKPr+vGt3buGruvdwKcFQfjh3535ffzLosQzhQ0HBabmW2i0zxn7vXC4goO9HybL9zGhYQKu7VxMWPdTmtrICzOXsiyyiy3eOcRlO1HZyYuB0znjyDZu9nyZ3ZUz0QptPGg/UVZpVrJc/cqznPHWRp6fcg6VJUuYPqqI2obC92rN6Ikc+zw30URx33S2CJv5/b57cNiXEg18bGy6oKuGmRrwg6O9+PbvRf3dXQxNKT9h21NCTWNkUlrRuOuDM/nR316gTx/HRpt7cZTcQ2RfCkLGb7PadL77uJtPLcipCRsd5LrHusb8hs3MbG3CtvxskjXTaJfMHIyn6E3nGkDNb0GXBQRFRxVl9kw9m4UH1mLWs5iVLIzm7k6ijbYp0xmcclw1B0UDm0xo0omVFSqsZlZYbTz9egtKMIOg6pSa4zwp3EGhEALZBjc8zo1rd/PTUfHQg/EVXHzTVaAUkununyiJGsVk4NMc5LJDW3izbB5Tgx0s6j+AKd9Dyewj2ANZ4wVzyysQaoNMgh3xPG55doQITkQB1l+7ivTRG6iODLKWCzkizDthO3ATplQTdysj1MVd3HLgaT7ABqyjaT4iUDCUoWAog4ZAm+wjko5xi7iWJr2Kg2IxV5wjkApcxS8HRskTUceXXUfl4L341QQ+bRers1u5UIwgmicea5e0lE3haxmMlQEgSBls5gGKbU0Umw5QJLYQ0HuRjlP+COgwsN/47BgNoJ1FUL7I+JQtYlHxbF5dUMftTW1sCcex6Bk+MfgAHx14bMyXDKDPVsubnq8S02oQZQFkAVUWyEoCiiyQlSAmwNZ4gqxomHurosBpfhfLQj1YRFi0eCFmq4Q7YHvPTZFFSWTmginMXDDlpNNVVSMRzpAIZ7B7zLjyjOHxT8bS/G1HFw9va6dz5J2NtE2yzBveD3LAa8XvsJDnMGNxmEnYTdjNB9FGHkZmC7I1SkTL0pVRiXqa6VPdhBUvguLBq5hxagL7LCrdaQ0QCNiGqM87zNS8w0zNa8ZjMZ41fXwEoENrpBzZXM7S+vPZ0WlieOARpvn2IY6SiicjkgCCoWIGzD14qEBAJGspxjyuAoqup1FizzKodHLMjwwgEBzgo/vW8udZF9PrNO7bR4ovYMjs41Mdf+HzU75IsyPXPgmqhnQwTKhL48HAhXxnShjrr3/Dgfmr2V+6gI6CXBAzkBfgP677MFPbjrCgaR87ZKOzJcYV2jcOEDYbI9p1yS5+dvNtZMxGV9WeyvCjX9/JkbLKMTJpy/Q6lhyNYlVUCuIhejCk36lCgfTOHBn6vxjvx0zvAz3UwJFChQ9HUsTUckrNudS5A34v8wfEE4yVuwoslOTlbp2EbqYzXsjLmXpUwJq3YWzaQmea5DmbaDyymMrGz2ISDXVNr+YkIL771HFVd6Ho5WS1MvqSInuDnQxkrfzxtGGmVc2lJ9ZDb7wXTlHMMtE9Z+zv2ngLNi1FXYeLfZPCTM6fyt2r7ib262vGdAKO5RNT5tcOhnl5OMyHiv3M9xjtXTwUpKtgCi3P1jFrWi9V7iBHY35+p1TwStefSHg+QLL8ryyONHEfu/F3b4KSeYws+zjXbvjiGJFkk2386sxf4W4fIjiqnBFsNiyTjXjzr30jPJtdiVxYgi5YUM2VTHNY+XRlIRcVeJFO8l6c73Hw20lFbLn9ozy18lxeWH4mL81cCrqOWVWwZVKUJoeZEk9R2LiPQDiII50kY7UQdzhI2O2o8j/eNTum4Pl70DSZtlZoa30Mj2c1ef7NFBS0Mjj0KocO/4DduzfS3VVP9Azvu962qmqMjIiMjPhob/cB5ZjNCdzuAUSPHY97AIcziODX6a88jMqvqEt/B6vl1KmCmUyG9evXs3nzZjRt4nOgyjKtNTW07txJoL2d2bPr8Pl2EQo/Szp9XNN6kpo04fAuwuFdSJITj2c+4bCh3EkkjvD2hiXo+juXmnC5ZlJT8xkSG7ehJYx7STeZcCxZctL5ZwRm8Kszf8XHX/4ISTIUjeh8cI+dm+97Ak2PsHXbBWQyQ6CnCffcwZIFT3Na7Yl2GsmMSjyjEHDm1EtHW+8mnenH1ZAjZ+zz548pvgRBYOH02xguW8mbWz6Fz3T4pPtoFnXyiMIEwbnA7Fn3EQgYFSIX1+TzKUBRNRp7ImxuGWZTyxA7WkewpjUqFJE6dwdF5jCW3umgOOne+HEqz/4+kimNZE5RsOpR2l7/CroioaOTcLaTcHTg1IbweN9AHiWAlFKdwS8qOF/sQdIy4O6gfM7aE4ik/kSArb0L2Dc4nbZIORdj5gvY8HSvYO/MB3H5GkaPT+UKn8o8u8pjI2b6FZGZgZl8Zv5nSSQSvPXko9y6o4E9n/4mSasRP5kzGb65cRdlN3+C1t57UKwhYvm7cQ0sQEdjtjvDwcw2DlIFQHdePpPz1mEixiC5Qbm8kW7q5Tm41HWcsW4961atJG21UtbVhSaARU+iWgdpHixhTthsJLcfu3eGjcFBXc3SLOcye2qkXpZOOYjN5Tnp9fz/jX+aTDo+KBIE4Uxd19/4Z9fzPv5nIdk0QjiqEE3ORZ1m3Fb2lIZdLac/4aDNXMxk0TAeK9WjhCkmEAvx660/4DztLe6Y8gX+UmyUmf9y9WeITbLBOEXTeAi6Rn1PG2dueJvn5Nn8dZXRgL9Jgmswqm79yaeTrvFi3pSLcM7asov+v91HPF/i3Dk6b87chOK9mKRsmGlXi/1ENYFBoRgd+Ibu4IbCQtyxXBqKZDKhZrP4s0HKpDhdqhHcHOiLc/8FU7l+3dNEkouR3Hux5L/ClIJptH6jnuqHmnCt3wPAUb2K7Gh5dV0W0PzGi8EbHuL8N5+irK+d0tMGWLP6o7jdOQlvMKtwKJ5iUyjGPR0DpApsyD1Gw7rJPY3gLXOZ98wfyR82OmSHq+t5dcVFJOwnkaUeZ6JtEQXWBDxcW+ynMAtX/nYzajKLALjNOn/k2xQKIbJxibBlDfHP/DuLj3ZiWfpvpGUzIcnFM/oizu/a+g53iYHy2CA3HHwZAPea8ykqWIuUGiXK5lwDxTOND/CrP2wjMio+P2taIT5zJ4cju1kKLGUTbXoVb4oXs0k4Y4IPctZqkHX7nPBZWz0/3NbKVbzJ9dJrlIs5/1oRnRplhBppI5dKG3Mr2FUB/hpuDw1BfAh/Nvj3TSorlsI536GsfBFX6jqpeBbEBIPDT9HR8UfS6S6GMIxRRM2LO6rgCWdxhMAXTWM9WSncWJ8h8T9g5J7rooTTF+Ber4d+q0BVWyeueO7lqgsCwenLSM09n+WWBGZTDw5HLXZ7FaJ4onx6UzDGR/e3MTCqdGolxZsBN58hRn75qeXM/9WQJBFXnnWMRDqGgNPCx1ZO4iOn17C+eZCndnUTTGQo9doo89koz7Mb3z47AacF8SRKIQNVwHns27ed7u4jzJw5jTUXVNIS1nmxoZeXGnvpj6TBpOC1hJmad5jVo+RRwDZyinUalSNL+lKU9Kb4ReTT7NMnIbytjRpP3kqhfYCzK9axvHQrZunEAl1dXdNoPToPTVDos/dQnCibMF3X4mRiT6KrEz2YM7LGzrog3VXr+L7zg3xrMEtnvhEVvupfxqv+ZRPmnxTtoLyphy1hgyhvGJrKb1sK2VVeT2jAxsVHQ9hcZrZOsdJYYR5TXB2sqkWoqMExFCHbkEBQdIiohMxedFmge0UtodHgRlJUPvP8W1T091I0PIg7mSBis5Mxm2iqsLCyvQ1PPDNmeqJb4K7Fh/nJKc/u/w68V7HO+zHT/2w0dh1BrRdYkkyhIY4pVxO6i6NylphDmkAmaYCl1DyWijU8XEr7oUVsz1ahICG79iKajbQPEZ0zXCq1dV9k/aYXuULaPraeA+FJnOnbO7bOY5FAv8nNYUcth+2VHHZU0S0U8o1dThxyJSAwlOrmyeEX8GTy2DU5RMKmsX94P29+8E3C6TAtoRaOho/SEmqhJdzC0dBRwhEvajw3EDgtZhBm1ozE+an5fOO8e5Daewj159SljmU5i4Gn+4N8dL+hSHmid5jP9B7At+NtRrpHU8M8flp6/Jh6VbK6xN7FxiNhjzyNnDlCS/GnyFtxIwgCKSXFp165lZ64IQYUELhzxZ1M808j+PiPEc0aWkbENmMGgizz8lCYzx40POsUyxTKrCa+P7mMc/xuxL8zuGKtn0appvCxJ//CTa8+zr5PnUevlmVa/Cjzk0cpu/FxhPzJJHZNoftzn0cZpz7SAebPx/m97xKJxwmFQoRCIeLxODabDYfDgdPpxOl0jv3tcDiwWq0oikIqlSKZTI59grt20f/YY0QCTjoqK1C0XBwQDmcJhxfQ1joXv72HbVtGSGcWnlCOuKysjOXLl1NWVsKRI6/R0rKB/v5hYjEfiYSbk3kiZjJ2hoaqGBqqAkAUs7jdQ3g8/YTD+xgZWUPdlK9QXHzFhMEqXdc5ePAga9euJRwOT1inf2iYqMtJxpI7hqGhIV5/fQhBUPH7J1NWnsXlGuYEaIYySnOPK0iixsaIpNz2T04kqapMd1c9slzIaafdjiCYiL355tj09LRpiFbrSZcFmBOo49HlX+LAb79JwaCGlM3Qt/0B7FNnUllxO81HfgBAPH6Yw4e/zdSp3z/Bl8pmlrCN6xdFowfo6noQAGtj7hw6V648Yft+Ty2Xr36eLQde4c3GTaRTrZTZephkakc/0crn2Nlgf0cDfW019ISS9ISSdAWTNHSFiaYnnqeMrDJrxqOsLN8EQDCeh/exSmLd04nI5+M752kALJ4eihc8ROe264l4D6GYI3i9vdRPX4ckHe+pBbGLFeYOv4RuA6vVUHbpOsRiPlyuIHnWEM3BSbRGDPLsGRSsYoY6bxE/sH2dr+54hbKZjyJZjGVrLBp3FKV4O+nnI6ffiSzKrPv2ZznzxfWYFIVL173Cw+ddAsA1PY9QcFspNVM+h7tgHk1NnyVY8SqRko3E8/ajy2lWI/CCfiYjQgBNkNisn8YCtqEIOVYuMNDKCstyZG8b3p5drHnhRWJOJ75gkKhVwBOOUBIZpjeuM7N9+hiZJOgakwcNUjHbtZWeilw8uNx5mJ5KiSm+mveoDNQ/h/e0mtsoXhME4UngC7qut/0XrP99/AviiD5MoabyQv4ZY79N7c6QsGbQRWjWS5mMQSYF4v1Ijhou4nXmaPsBuLb3hTEyKWY9uZeHEExTP9TB7OFW5GSGP3hXjfmRACRFgfvNKoKikZ5ZAKqOEMs1TlOCRgBSMqhyy6twzXqNAzft5/NzDTLpqF7Cefue5LX6C1FMZpI2B8+eczXXPHMfRfkFLP3QzVjsTv72XcPTadLAbrr8xijaU7u7+cIXV/KFDa+yPXQ/JXIlH73iDVxuo1XQl2oM/PgnbH5jPb9YdZ1R9BnQCqwIosCyln0sfPMpTEoWWyBFoH6Yzs4/Mn36f4ztv88ks8TrZInXyfUlfj6XOczbPW0AiEMp9ok+Gq/8BHOa9xIXRA4dJ9c8GUriIT4+ZzqXF/rwmWQSGYVz73qLcNLo6JolgXulXxA4EqS9zU9i0AJsBsAJnNOxnedrDJ+Tp2pP59z2bYjoCGYTki8P0WZDsNsQbXZEm8342G2IDgeO00/HZT0Aa0dVOKIJzvjS2L61DsVZdyjXab5pWRXdPb+esP9VtHGzdjc3WdfSVvobftcyRKcwsVnTXTKDswP8bveF3KdewCpxNzeaXmaRcBDrqYqdhzsg3MGJmrQT0WG24L3wbtwzrxpzAhUEAZvTDJipsN9MedkNDA29QUfnHwiFtqKJAiGPiZDHBBWAbsOeVPGGFTyRLN5wFnvqREm8oKnYh/uxD/ePG/cwELdJ7K9zEnEfgvZDx00Vsdsrsdsn4XBMxuGoxeGoZbF7Eq8tqOMj+9vGjDO7BZmv6x5c/UE+UOjjXxGiKLCqroBVdcefhX8Ms2YtZNashWP/+/NgUXUeXzm3jB2H/spg/5O4pJOP5OUgkOdbhtl9Oe6nfkR5zGjTbpBf5QvZSWMVTABGUj5wXMG8BXfS9rePMlLejNmSQtMEjhxZTLCrmrrmw5S0dbIlr55ExQXYBSPS09QQWvpZAgUiefEB8sxJ8iwJflViY0OegCoBCvx04PN8ouV7/CGtc6hsYrqeoGvc0PkMX2u7l19ot9Ai+BjUjfb25aZ+wCAQD5pU1gRVPrA1zpKGBA/PhnjFaFsmisQKvHC6G/lgGKknAQLoszwMBXJKqavWNbPamUEHzIrCOds28MQZqwHYXWPh0u5uZA0cCZW4w3hmzy/O+RS8j/fxvxkH3DHsmsasdJoRMZf+0i+WEUwHCdpl8kdyhPOIz0TGYrQlzUkT9+y9DV11ENWtgI4lsH5s3rl2lelll2IxVfOBoXvH0ib2J4qJx9NjnZVd9nxun/Ix4vZFhE0TBw+mEWVzRQvzWvvJaEl+UzDEK5U3cVHr27RNWQs6JJUkG7o3cG7VuZQ4S1hRtmJs+ad2dfHlJ/dxLC1LNA+QCDRDp7Gdqa1ObLKN8Ot/wTspTqTdhmnKdGS/oaLeHIrxbwdyBQgyCPwsfzIfELdTc9y5zOoSpRYbtqoiiBrkkznViLn76zQM3cWMwAy+sfEb7BvcN7bM5xd8nlUVq+CN7+Hr/QmuNSLtb/ixzZnNpmCM25vaOFahPmCS+dvsWqrt787PRhBF3KdNx9z7It7qBPOO/iY38YL/gHyDYLPPm0f1U0/S8/WvE3/dGIMXAHbuJPvJT1Hz79/GfpxS651gMpkwmUy4xvmyqGVlHP7BD+GQwtztu2n7+FxaUk5CofFqV4mh+InRTsngIKd/8hp8eSEi0afYs/d50uk+vD7wjt5DqiqRSPjIDk8iclBmRA4QN5/ITmiaiVCo2Nhuu+HrtGfPaxQXbWDevOupqZlDJBLhpZdeorm5ecKyGZsDfTjC2a+9hiqKHJxTy76F9Yjh3PXQdWmUvKpg8pT9TJ1qxeWail2uJvjZnyK2JBGzAq5/v4XYnAh9fc+iqqdW6ImiBYulCIdjCnb7PN58I01Pj0FStbQ8S17eBkpaj1LmduOJREjNnBhvZ7NhQqHthELbCIa2EY02ARrW843qCgDB1E8YtfeZgJ7evxKLH2bO7AcwmU6uPNF1jUOHvoGuq4gjYOrKxRknI5MABEFiaf35LK0/n80tw/z81cMIj/0HS0MNZIs0Wld7EKelkEQNm2ykYA30PcBX3y5D0U/tkWmTE3xi9h+Y5s/FnT7HCNw4QsmL+7C+KvGnSas4r8Yg39wV25le5kM2XQnsIas8jCAYg6mqJrK5bTnLApsR3Ub7Z/NPtOAQBAmXyyDOTaLCnRdpfP0NL3s7QwA8pqVRsyA06vxqZAaODV/jovrHmV+8CwBZgFX2YXr2v0bsP56nbO/+sXXf8uxjmInjPq2XRZWbaO8uoW7y5wn4V7JwwVNs33EZSSVHcoronMbbPDea1raR0ymOR40OEuBIauTpFkqVQjKFs1B6dmHOZskLGvsftsm4w2FsmRQOtZ+y/noWxPrY4SziwuEeHIpx/YO9m4lU3TiW5VouDJInqIyM9BHIL+W/G/8VZNKLwGXAGkEQfgr8UNf1d85HeB//47Fi8U3U/nE9P5qZqw40rTPDkanD6BY7zdkyYBsAfmmQj8b/RL4jNDZvZaQbezRGwjWOSNJ0vMEw6kCGTL+KkNboQ2KxJcVGpXqMSNIl0ApsaE4ZuTlCdnYe2GSEYHos8cRKCntBDMa9O2wZmHfvAyz+RD5bZ8wBYFvFcs7a8Dwvr7oMgN7CclovuYU7rrrYkBFrGi5/PtHhQSbHmtkQOA1VFxiIptl4dISrvvAdVvd2k1dShiiNM8MWRdbf9GG+MP9shHX9RkoT4LWkuPXR36CGjpWL1Clb0YsgwsDgS0zJfgOT6cQOfb7ZxP0rpzH37S7iaQVBMwglrcjOrsmz3/FaSapC/eG9zNm/lU997JNUlOW8bJ7b2zOWPiQA3+h6Au/2DvpGSwcfjw+0vM0L1cvQBYFOVyGtK0s5x74Ts9eEcNWPoe68U+9IJg6/uC33/4KbDY+gUTy0uW3s78kFThZX2dm46emx3wL+MxkaHg3AUoeZPfBZfsiHadadtJZWk1A1KmxmHu8boSPfT3Z2EvaM8Lo2n9fT8xHRqBF6mC60sdjWxaXFI9iGGiEVOuUuawiETG7MDh9N6X5estt42uVg2cBb/JqrTll3TBCkMU+AaHQ/nV0P0t//fC4HXxBI2GUSdpmeYmN0y5TR8ESyeKIGweSOKkinsFzoKLXSUuVAk061BxqJRCuJRCtDQ6+N2y8TRYUX8cfa2/nVQAG/7DCUfGlB4KP729kWjvOt2hIs4r/C2Me7h6JER/0OmtG0NA7nFFzO6ZhMpxyCQ9c1gsHN9PQ+zuDgy2haGtfJxZHY7bXk+Zbi8y3F51uMyeQ1JpybhSduBeASeTM/0a6hX/UgCSorSjdxYc3L+KwR2o/MpFRYSPTnEQ6eVQlxG1UHh1je9DTyqELthtVF2D9xFs/fvwdZ1lj5wSUUVFyC8IdzocsI2rZZLawP2PBIVYS1dkBnMDXIeu/9XLHpOl6aZ2dXrXE/FaUH+dXB77M8tBvF5mZ6spkuOY+Xs1OPPzyOmFTUpI6EQFFC57LejQiH8lk3o5yO4tHAxSSizPShltkR0hpafs5P69q1LzBDW0HxmT56nvkTAOe//foYmdTjl4l4DUWdO6qMkUll5pOn/v1fhCAIV2KYbQ8Bv9V1fe+4aQFgm67rx/er38f/EHxx5W+5eu1dmKT78Ug5ZU5Y9tGbidBmNjGFXOjcV2h0nDsyIvcNy6TztpIeWAOAZD+KaM3Zb53hBNwfpu+Ne6gSDKWyqgts7iuj3mVsKyPIfLL+h/Q4JloITIu18Pn2P7LGoSF88jk+/uAjbDe76CqZhdif5MX+hcwnQITfAbC2dS3nVp07tryiaty59iC/f3u8n7yGuWAtzUKCqaNk0lBHGwNvP0JBz8/xLtRxlqRITjUGpg7HU9zUcJTMcWlbqmzi6fOu4wMvP8zseJCivAC219fjjyVx2Oyct/ollq+9AyFuxJrpzCA3rr2RpcVLebv77bH1XDnlSm6ovwH2/Q3eMrSQslWjZHGIvbPmcGPDUdKasW2XJPLo7Jp3RyTpumEYvuUeCl0vIbiOSzubfC4smFhlT/b5CHz4w2Nk0jFkWlpo/9D1eK+8goLPfx7J6z31ZjUNdXiYbF8/Sn9f7ru/H6WvH8FkQlcU5IxO7V27KFmk0nepjb6RWvr7J03wVhJ0jWKhlbKi/ViXRejuXUv3KbKPzboP5yE/8mNdyIO7x35PWSzE15xPdMkSugYG6OnuPsHpSdNkwqFiwiE4ePB5JOkFQEQdp9DWRZHdZbU0FFXzl29+BiVfJ3puBs+SJs4QG0kmnfT3HX8MIs2HZ+Cwz+GCCy4wCLbFHYwcfAiA9B/eoO7FF5hc+xX6+1+kp+dRwpHdHA9NS5NMthON9tDYIBGNTvRXHRkZYaSyksbKSlxqEH9xGHfT75BNfYRC24jFDvFu/K1OhUhkD29vWEhJydWUlV2P87jntLf38bH9tjbm4jNTZQXm6qq/u/6lk/wsqVnCds8NZP/yBcJXarjLc6rrY1USfdYwy0q28Vb3xOIYsigwp9zLGZMyTLf+B7rSduJGJIhepBJcIPHWkWVUeLqp948OzomvIMoNZNK9Yyb6GhZ+sfsWmoanEV6Xx+XTnyG1eOI5tFrLUJQoyiihI4pWams/hi3WgxaMIY4KCKRhI5NgBIkR1ck9DTcxu28+10/7K77RoifN/feSGizl2JFlzTJP1y+h7GA/C9NbiV0AstRDKLwHn3cugmBCVcf5XukC5ngx0xOdPGfUReGoMJm3Oz8Co0klvrhKhdMoTiIXTOP4/IZBl4WiiIKKQIEUpU1X+c1GB8PmGIGMQSRlBg/Q7hGJ6bnBwQqhH3To73iLQP41J577/894z8kkXdcvFARhDXAX8HXgRkEQvqjr+mPv9bbex78OzHYr20snkxaNm92W1qgcUAhO7QXzZA6nc/K82db2Ccu2U8pjwkWce3A724rriNodBMJBlvUcwKmkGdbsPJ+Zho5IHAtPpGeRxoSkqaiSiKAKSL1JJEAtcaAVGS8VMZwb1avwdfLtq3UYkVi9S2P1Hg1LxmjBbn/qYbbVz0IXRUZ8BWiixKK9m9k225BbP1VYyfmDYS4u8CKIItOWn8G2Zx7HpqWYog9yYFQj8uSublbWFRAon5ikrWg632np4d6uQcSRDObR4S4Jlbt//332VPthtLMemBLCUWAQDJqWobf3SSoqbj35OZdFzp1eyJO7DCLK1R4iXGQ/6bwAjmSC03ZtYG7jZqRsioqKGvyxFOEXXkAdGkIZGubRwSKMitRwfutmFuzdNNELBjBXVuK+6CLsixYypa6Os59p5tVRE+SH/edyoWkbaCo8chXUrYGzv21UYTkeW38L8VHlkWyDFV8YmxRPKzy+o2vs/xuWVTE4uBZFMUYoJMnO9Ok/p6vrz7QcNYLBSHQfAr9jCp/gY3W5UbZPVhRyZ2sv9zKIMt2LqSlknF9EjuhlZHxT+MJti7Hl2Y03aLgTevdBpAfseeAI0Cq6uepIhG7RiSrIVFrN3OrexxM7vg/A291v8/DBh7lu2okVrI6Hy1VP/bQ7mVr3fdLpfho6DvDg21uQtD78thECtmEK7IZ8dzjfTLQ0wIDZj1nOwx0HVyiGfXgIy3A3utlGeMmVUFBKpRpDVWLGi3b071S6l0SiDV0/MaUKQNez9PY9SW/fU1yUfw4LJn2Ijx2xkRiVVz/QPcTLQ2E+Up7PdcV+HLKEqiYYGl7HwMBLRCINmE0+rLZybLYKbMe+rRVYrUUIwinYmPcIqpokHm8eM8o89vcJvgmjsFrLcbnqcTnrcbmm43LVjz5nT9Db9ySpVPcplivF51s2RiBZLKdQRE27mLTJiyUbwqRnWX9OL+v9i7Bn/0o2/NSYhD4abeCo2Ehph4nSP5wYqXs/cSO261eTVbZz5i0hJMmBw5FCb16L0JVLWbnb5wVBoLf1bETzMDOqHmelS6G+bB1dfXNZs7Oe2t4sSVOEL+3/PLWTjG3JyQgFRUco7qtnBUfpUd3YhQweMYVXS1LYuQMsq2HUC8k0MplXFkziqw/+mT01Fh664DJSFoOk0n2WCSHzOVvfZtW+KNYr/ThPKwdJAlVlUncHdW0tHKoyqudtqCrm2nYo7k/h9S/HuezbJwTM/1chCMK1wJ+AtcAsYKsgCLfruv7Q6CwSJ3UDeR//U9AnD2KXm0AH66iHka4LpGSRrqzIHrOZ1aPzKpLAoN9CT9LF70YU0rqAKW8jmdBC9Ew+zvyXx3wXp1hUGrpP57vrD7LVevfY9l4STieU1vAHjM7QzytvoG3c8zbNYeXzrjhrHrvV8N8bkdHTUfKGu+mab+yJ5regi7BzfzXmwJmYA2/wVtdbxDIxnGYnwXiGTz6yi41HxqUZSXFspQ/j8w1w58pf0Rl6nvZ9uxHRsL759bH0PldpGmlWKQPpLNfubSE8WtREUrKcseVlNiw+h4zJgirJPHvBDVwyvZqz7TIHn16CoCho2QjtT7/MUMknsZlewhF6DAENRVMmEElLi5fylcVfQejbB89+csI16Skr5FbJSVQ1tm0VBf40q4YZrlPHVcYFykDjE7Dl12NVaMdHTUpaQFh4K9JF3xtTL49HYsuWsb/l/HyUoaEx38nQ3x4n+vobFNxxB6bSErLdPWR7usn29Ix9lJ5e9OzJ3/Eng32bRHlnCueH91C5eC8jIyUMDVZitiQpKT6ExTrqA3SSZQVkXMNlmJ8NYdoRQ9AnmkrLBQXU/vu3ca1aNfZbOhZj81VXM2S1MFBQQH9BwQk+jKqqM97pW/LGcdW2crH9bW5JDJP+apjkaEbdMerEZovhru7graq5tAzPYknLAZxpg4Dds2cPAwMDXHXVVfg+9CFGHvoT6DqZtjYSW7bgWLaMkpIrKCm5gljsED29f6Ov7xmy2Ryhks2aaWw4m1gs5zlqs0VIJicOSkUlH9EuaPtbLx5PH5OndGOznXj2ZNmD0zqZxO6d6GbQTSCV5aPLOqqaRNNSE9LsdF2lu/svdHf/Ba9nIaWl11JQcC6KEudw849Gz5uMEi2ma0mWlNOKUFeNcPRFKitXIsuOE/ZhPNLpXmwzXmbgcycq9MdfnsunrMUbuIxir4NSr43qgIP5lT7S8V00NP4b2WyuqlpBwQW4HNNp2/Fj1NHTJhdn+HbBT3m8eQ0+a4hihzFomUnnYh9dt/P7/f9G07BRTW+rdyYfjDzL8XdhKtU14f+sluGTBzpZF0vBggDmrYOIyZMPSu0dnMlgIsC/L/sRoqBT7Bzg3ovPpfONQpZHD9BSGOCSxm2YlQwcktD8OonTNHYceIxzls6lrf3XY9dHTvmp2vg9RNXKevPb+O0hhl1eAHbU5tIdfTGNUpsxACfafCiSiKzmRoW7fTYsKIiKC9mSIJgOI1j9BDK541aOvErztCq0cSr3MmGIXlUiltgD/C8kkwB0XX9REIRXgc8BXwMeFgTh48C/jR9dex//e2DKt/NSXm6Eu647iy6kKFO60S1TaY6cXIb3orqE7eIidEGiMBHmksObUREQpNxD4xcTzBJ62KsbhFR61CFOFaUJ7Yxmk8hOy0lCHYPRMX8Bq7WTVl0Bn8AjZ4pcV92PvcXMyGEHecEBZhzaRcO0BQBsXrCKh771ee4oLKalqAqAzx3sYLrTyiS7lWkrVrHtmccBqO7fxYFCQ33zclMfkVQWtzUnBx3JKtze2MaGUAx0HaknN9K4ypakK9+BNkokmbMKM98MEi8VyEwxDqy751HKy2858cUbiRB5aS0L1m7jyULjpZ0xyZgzmTHz22MoHB7kijdeYs3GN7Gnc9UoaGqj46XcaFi/zcfuc7829v85HblOq2QTcV92NZ5LLsE6c+aE/bltefUYmbRJnUaTZSrTtYPGxEMvwuGXjRK/K78CrlH6PhmCjb/I7cvi23PTgCd3dY3lZLusMpfNLeVA4x25Yyq8CFl2Uln5EdKZfrq6jvWxGoGH0PVzxvbRLon8e20pF+d7+Yy9g6NZDdNhg5QSnTK/v3Uh5XmjwaIgGOqocQopgGrge84wNzYYo63tqQyvWBewtHQVG3t3oYkOfrjvGRTbPOzWQsKKSlLVmOe2s8zrPKmBtSjK2GylLKorpa7iDL76ZAN/aMi9XAU0Pnz6JL50xjSkU3r/wIk2jROhaVmSyQ7iiSPE47lPItGCNuYDpTM4+Ary4Cv8mqn8Wb+c15kLgkB3Osv3m1tYd/QJLrXswJ/agj6uqkkq1Ukkuu+E7QqCCau1GFn2IEk2JNGKOPZtRRJtiJINq7UEp2MKDsfkU0q6j0FRooRCOwiFto9Kxxv+rlnmeKRSnaRSnQwOvvx35zWZ8igquoTi4itwOU9U75wUspme4tVUd/wVAOvuP3Dupz8D4ldJJK6hpeVnDAy+BEC2VEcXdQRtnF+ErBO6XqVn+u9h1+8nrlvXWbwrfEw9zX6XBcUrkZe0McMzxOrK9VS4c+Ne+bOeJPFaPXU9WcBGW89plPmfxuo1zte8kVY2WCNMSsEk6VjnT8czMhVN2YAqHkIaJZOKIm66/TIPn3sFV778Mx78989zz+XXs37+RMPRWc0H+NxfHmD7wm+zYmoektuNa/U5RF9aC8CaTevGyKTXS6aT7jDhC2fx5a0G18lLPP8fxeeAL+m6/lMAQRBuBH4nCIKu6/qf/nt37X28F3hMfY7r5R3omVzHbVCpIS6EyegCuwUzLZV28ofTtFXYMWc0LtjbwYMFxcRNAoKgUlZ2DyOZcjR7Lh1sqU3i/sZzWCo2kY/RMc7qEveb6ljOAQKWBLtc07i7IjfwcW1xHj+tK0fUNbB5IRkETaHzxXtw79yCaeYZZM0WkEU0vxVpMEVmaDW6ZoGCl3iz801q7Wdwy4Nb6Q1lxtYrWnqxlT3EzOISfrjiL1R7qslfI9K+bzfz87rx6BO9bbTENq7bN5euY8VGdI0LXv8b53lsfHrBVK5rbCemamR1uLWpjftnVOFftAj7JsOnJfPHPyB+5Uck3Wuoy6sn3fsLhpJDY+uv8dTw05U/xZSMwKMfAiX3Husx53PVrJ8yLBgKJEmAe6dXscR7ctuFMfQ3wcNXG6nxxyGTsjHcYCbcZqNgxjzyTCevhhrftHnsb+/VV+Fcvpzeb36L9CFDgaqOjND7la+88378gzCP2JgydB0HrW/g9x/G7z/5QAoayANgDjqxDrowPT+EFDumgsu9u+TCQjyXfgD/LbcguSeSLRankxkXXcjgXb9getN+Qm4P/3bHt5gX28fkcDuJSB6aZnRHTeYENTU7yc9vyxEadtCO4/MsllJcpbeBYw3LUzqFiRRPewtZ1biN4ohxX/X09HDvvfdy1VVX4Tz9dGLrjVTQ8HPP41iW8xF0OuuYMvnrTK79GqlUF9HYfoYGm1j78jCxWC6eLy4+xKTabWQydgYHKxkcqJ5ANAGEw0U07DubOXNfwuFw4PMuwutbhNe7CKdjCoIg0v7rm0hsNfxF8276AIVf/tK45ffQtP+zJJMT76dQeDttbZ309T9HOmUhk1lJJmND00xGdvqxzMZh2PPIBubN/yaFhXX4807H71+B0zltzINJVVO0d/ye9vbfTqhQB2BtdJKeG0DPtuXOjynMTXV3MWvWb5BlY0O9vU9y4OBXJwxUVld9iurqT3Pgr7eQ/0MT4StVkksN4sQspbl26lM0h2fTFZUoc00cRItnCzgynCNhptU3Ep+aI10kzYEqTiQudeD3fJy3h0ePwSJx+ppJnBYXEQRwmEV2bdlIdHiQvEgtdsWGJVzFUOs0CmqM1LaLJ63lG/1f5XB/BV/a8mfMWi6eNB8RSJwGqegrxOMfobf3ibFppfINSKqNYSGKImaZMtDF5lEyKWvKPRf+WBafKXfzdvstVA7k+oGDLguiuwBnshhF6kcebIXi3D0VTQZRBw/QvnzhGNcaIIRdSNMR9VFa/e7TYP8r8V9CJgHoxh12pyAIDwE/Aa6F/8feWUbHcWVd+6lqJrUYLUbLzMxMMYQcZs6EaQITmCQTzoSZeeKgHdtxDDEzsy3Zspi5peb6flSrq9uSDDOZJPN+3mt5WcXV3VX3nrvvPvuwRRCEd4EHJem4XuQM/qdhc7lZGaLkDHctcuLW1JNoL0fSihyV4nBLImpBbhy8ksBT7rl83zKYMS2bMcSEg6jCq1IFzei0aHRsS8rC4ZbI2FhMXmgXOoJWp8LZzew3lta5nGjrW3EiBwYVgiIBn9ncQoLghgw3+hQny/JTGLZlOfszeuLWaGk2hfD6BZdyjfZlHhdfoNkLzR4vV+8p4Kd+WUQmJhOVkkZVwRFSWo5hVnlp9og43F4W7S7j/AEyEbGvuZXLdh+lyC6bzKoPNqKqUBqRIT1jqdynNDJdS2sw1EsY/qmBJDdOg4BXVcgRy3lotGFKv+1207JlK5LTSTdRhWH6EBp6xuFNCO5ts2qrOO/nHxi15lfU3pOnj6xIVEpMJjRXkdN4jJCkVkLS3Jgf/gUhLhdJ8lJY9C7VVctITLyC6OhJDEwNp2cXK7uKZenoe0lP8YL7CWhTUEge2PoB7PoXDLsVht4M618Fuy/vWBcCw27zX1uSJD5ar6jXzu2XiOQ+SkPDVuX+4ucCsjdRVuaDOB1V/kE6rOfIkedJT1eUTiBXWfmlfzYvRFp5zXgMbG48XYw8XVrFe+Gmk1Ysmxhp5a9pcTx5RO4E19Q3g+pK6KLI1u896gCCg4BMo45L4yM5LzYMq6bjJtdq0PDqhX0YvjmSR37ci8Mtmza/veoorU4vj83sdloV1ZrcHv6eX0peiwOzSiRErcai7kaIuidms0hIqIoQlUS0bRmq6g+x2RSPAi0HuJInOEeTzXz3MDKlvfRiOzqPE1pOXbgtSa52AdHJIHsUZGI2Z/sJJoejgrr6TdTXb6KpaR8BtQ9PCJXKjNmUiSBqaW7e71e1nRgikRGjiYs7h8jIMYii9uSHHIeSuEkkF32DKHlklduhxZAzDaMxlR49XqWhYRuH856ioWEr7ngJTbH8u3oNErXXuf1E8vGIrnJitimBTlOmgWvMTqAG+Lzd/g2WQuqitxFWKVc8PJh5EZpiGGmdhyCA0emlh3kfm1EIIUtrHFpPDE5tDl5nHpLRjSCoUaEnt6CKwzFNPHb1Lbz9j/t55N2X2LR2BS/NvZzS6DjSiwp47K0XqA/rgUtrIbGrnJ4b/8QTNE+eQunddzN281pePe8KXGqRBq2ZxZHDmVm1AiI7rur3/zGygG/bFiRJ+kgQhHrgS0EQ7MCqP+rGzuC3wd1ZF2Ja8iIeVP7KnoWO3lSo1gEajjhV7E00Y0o20iBZmbz5KEanl7sbmrgrUibd63WtqPVH8WVkEa/xkhlxNcmR0cyq/sh/rV+9vcgPOcxIwYNW7+UvOffj8XkLJuu1/D0jQTaVFlSQNhr2fgdA0+avUXvjSSs85PdgNCWZsVfJgzdX7Sjw6nh3/Tb27RdweQLIBctOwpJ+4tZ+N3BBzgWoRFmlmtqrH4kJVoaYAwpeAG5UXOfJYXdzwITb+sWMN6iYcef9aLQ6vuqVztyd+TR5vLgkiav2FHDb9FlMWb8eQZIwFxcxfMdmVvUdxPSkIZzfbxh3r7qbrRVbiTfF8+q4VwlRGeGL2X7yR0Jg79ZEbrzm7xTrFR+hl7K6MDHyJJWS6gvh07Oh6Th1adpoGHwTdd9soz5f/h1sa9cRflGwctldV0fjokW0blfSrExDh2Lo1YvUeV9T+/HHVL3yKpI9eMDfGUSzGXVsDJqYWOX/mBg0sTGoY2JwlZVTfMst4HIhORy0LFqBdMP1wGZUqvlILS2oCyU0JQK65jDEvQ2oSwVElwC09TXKbyzodFjGj8c6ezamIYMRVJ0rkcPmzqX67XeQWloIbWzgnrIC7uk1mRWeei71vkP3pjycTiNhYaWo1Z2rrPTaLqSm/YXY2JmIokz0jPNtmxpl5SqNlr6Hd9GtVJ74s9lsfPjhh4wZPIhIH5nUtGQJ3of/1s4wWxAEDIZE3O5QVqzIo7FBIZJ6906mT58uuNz98DTXE77uK7JUB7GpLBRFD6SyPozWVnm84XCYKTh6HVdeeR26ALPwNlgmTfSTSU1LlhB97z3++M5q7c2QwUvZf+AhysqUhJ7Gxkj27BmLJJ1c7e126zh8qC9a7XLq6zeSf+RZNJoIIsKHY7Z0pbj4k3YqbE2BgPVfKrQFThI/eZyK+LUUHHuTtoivrn49GzZOISfncRrqt1BwTPEBEwQtuV2fIjZ2Jm53My0rN2KyC4R9okZoiaNpQh0qrxx/ZVo71pOYtQU8OvQpvjhwNk6PhvOzv/dvUxcJpB4cj/rmwRw6/Dgejw2VysjHnnNYLSgKuDHhFt7rkRpkyzCjaxhvvfUWHncB1nq5ME/TgQuISnkIQYRYUxVD4jazVhrMvcNv5G8bPyDcIVfoVReLgAejuoEtux7yT1zq9V1I7noZFb/upEyQVVkZlcWsT+vWTnmY5HDSViKvxlvD6phuJFcGmL6LUB/eg6jmEOwmHXGlOyGuv3+zJ+8XqiMjaBCU8V2SICu7NO4EwvUnVp/9XvivkUltkCSpDLhYEIQ3gFeA64DzBEF4GHhdkqRTGxmcwZ8aX28+hEMlN5p6p5fUShcuQx1J9jLQq3Ch5mdvf6apNmGTdNzjvBlXQyrn1XyFAHjd9diTsmjxiqjx4kFklyGRHf2741bJj+no4nLiD26nQW9mZ+8euKx6vCY1SSaRwfVFfBWhlBkdcnAnG7zx/uVmQykioJYkrsk8D2afh7TyGX5edowmrx6LrZH+u9exoe9oAJb2G8EWqRvTTcf4sknOJthvs3PfoSJeykkid/hoVhYcQYWX7NajbNXKs+3fbC3hvP6JzK9q4Nb9hbR6veCVUO+rR12iVN3KijbhWPqxfzlM7yGusQl/R12opm0Y62QPylxfMPITU3AMjcFrVRoas0rkqawunB3TC+aMx3XsGK27d9O6azf2Xbuw79+P5HSCWo06MhJ1RASqyEh+DRvtP8csYQ1Zs8pRaSSY8BjE5eL1ujhw4H7KyuUxTmPTHsLDh6JWW7h6RBq3fCEHRD8eauWee+YTW/IzLH0E6nzeCS4b/PqkXPbeEWBeNeQmOZ3Mh7V5NeRVytsFAS4dkkxp6Yv+7RZzNywWhbgUBBW5uc/j3FlLfb3cQRccewOdLpYuXS4O+r70KpH70+OxqFU84SOFFlY38GFpDVcknEzjA39JimZ/cyvfVdafdN82HG5x8FBeCU8eKWVWTBiXxUfSO6S9bF4QBC4YmES/5DCu+2o+ZeIPIKn48mAq6p/H8NCksYjHVffoCJUOFxfuOsKegKC8c+RwXcI73Jx2kIJjb9IY4B0Q4jrIRRxv5C3DhpFtDMCly+KsaCtRahetrcdobS2itbUIp7OTOtEngcNRjsNRTm3t6pPv7IMo6jGZMmTyySwTUGZTFjpdnD9AkyQJu72Epua9NDXto7lpH03N+/zpcEZjGnFx5xAXOwudLuZElzspnLpwqiIHE1PlGyxtehtypvm3W6196df3K6qrf+HY7EdRvVODO0qi/nI3bv9YRkSjCUWjCUOjseKw15J2TPltKiK1NJs77r7DwoazoNbO1+V7sSQs4OyabPS+qpN7Ii8ivNlBD8t8AEY172C3ugd2t4kQnR1tuZz2Ihr64XXuw+sqQKXNAGDK+n28OasvzaYQHrvqFl548e8M3L+Ljx+9i+LoWLpUlqPyejmcNZKwWCPmMDlQF41GLOPGIjmdmIFux1rYkS7P9n8RO/UMmdQx7AQVCAZJkn4QBOEK4CPg1j/krs7gN4OpSJ5sEQPI8VJnLnma5YCGFq/AC01DSLZmsV4YTob6Lrp4bCzPGQTVysSKN0AZMCkihBlDb+KsgW48z24D36b5mmS8IdsQwyw8lXYt+UZ5wksAXu6ahEkdMEBNH+snk+LFEiCerGP7lYIesUa6xoWwv0weHLrqB7OzPvCTedFG/cz4XhIPDZ5HnDkucCOCIDApqRhNvfy5W9waNB43f+1+O8vCFM/NfrvWMaO1hlkP/B2NVo4t+1lNfNVbJpQa3TKh9EJoF3SzzmHcd18DcOHPP7Cqz0DGRYQQZTTwwaQPONZ4jHhzPFqVFn5+AI4qXGxhYSp/mX0/hywp/nWP573MOZqeEH9bZz8f2GrgkzkKkSSI0PtCGHwjxMiDVtNwI7UfyWRSy4YNSE65IEHzypU0/PADzStXQUB6mmgyYfAZOQsaDRFXXYVl0mQqn36K5jVrEc0mNPHxHfxLQJMQj8p8YhWVPieH+Mf/Tum99wHgPHqUiLfeoeaWvzA48TKOzJiB4ItB0xZ+idfWQu0H79O4+GfwKs+poXdvrLNnEzJlcjsVUmdQhYYSes7Z1H0sCyv7zP+O1VdexhPHKnm18i66W3fSnV146I9bMNA/LIox4VE0PfMS3pIaBAdYR04m5d4XOk2fHx0ewie9M7lYpaLabGX44Z2oJAmv18uyY8dIHzyYPps2gc1G84oVhEyZ0u4cjY2NfPTRR9TUKHqHYcOGMX78eH88Uff113i/llUqkXGh5D14AQfQYqssJ/egTJZUVNTyzTffcP7556M6jmSzjB9Pxd8fB0nCVVqKfc9eDD26+7cLgoquOU+g18dy9OhLOBwG9u0bdQIiSUKrsqNWeWhxys9AXV0CVVUpREcXAOBy1VBe8QNU/BB0pFYbSXra3bg+XUhLgayQa5z3A+lPP4XF0oPde2707+twlLFzZ7DthkYTTs+ebxJq7YdHknj94Br67gzB5Ksy9L52Cmu8fbmO1+hBMJFUQAo1RNIPmVwxqu1c1f0zJAS/r6yqBiJeV+PQbiHxiecJjxhJTc0q3q+NZWGV8uwNNEu81z2Vncfq+WDtUcw6NRnRZjKizQwbN4Wl87/FpWlA47Liao6lsaAv1jTZkHtG+mI2lPXnYHgSt028m7+tepOMhlLUZYLchmrA1bLezxOlptyEJswCKSGUFslkkslpJ7S2gfqI0KDP2D3AJOlrZyW7rAPA93mLzFHgCsHsikflNuIRtWgaj+D0uNCqNLS6WlEVrKIiN5smSSElEwXZHkQjJhEZObaD5+H3x3+dTGqDJElrBUGYDLwNnAW8BFwnCMKtkiQtP/HRZ/BnxxSzg+y1d/Jx2CVUOnJQecGjriPJXo4UIg+A73DdyJeMQWXPpGdTOELzD/4wSmxu4FCZi9WhQ9DiRgJcDjWW2l+pixoPwK/Dh3Nr0fv8NCIXexdZBqj2uMndu4l53Qb57yWjspiQykZAJpNEsQVBI8u9z2pxkTDyXjCEsdVyHvnN7/uPu7XoE5ozE9hjkQdU9UI4XzaF00WvodhXuv5f5XUMtpo5a9goVn72AUgSaVU72JKUgSfGwJpIgYRfdyrhoSQh2Fx4I3W4rFpweYkzaBilKqVqlw0zIKpUxJx1BKGHDd3XOhwBsyGdwSMI/Gvm+bw/YQbuABZe1eBk4dgeZIUocmptSgralBSsM2bIt+Ry4W1pQbRYEHzH7iqu59irykzh3LBfUYkSJPSHITfj8bSyZ88tfsNrAK+3laqqX4iLm8OU7rHEW/WUNthxeyU+2nCMeyfPkj2TtrwPK5+GVl8uerNiNoohXA6+/F+XxJsr8/3Lo7OiSAxTs2aff5Ke+IS57VQ6KpWOnj3eZNXq6eCrGnjw0CPo9QlERo7heNyUFM3quiZW1cmk1SN5JQyymsg1dyxDb4MgCNwflc/+inIOCN3860XJheS1IXptCN4WUjV2jNpQdrm7+D2nWr0SX5TV8kVZLb0sBi5LiGRWdBhGVTBBVO7aTkvES2jcMvmoCdnNvIofWfhZCMO6DKJ/TH8GxA4gPTS9Hbl0pMXB3J35FNo7ox/b452SGi5IGEb/fuOor9/Itu1PAPva7ecRLWxlACu9g9lDT7n0qRM+LnbySGooV3bN9P8uHk8rra1F2O0leDw2PF47Xo8dj7cVj8eO29PKjoZa8ppqSRTKSaAQydN0SverVocSGtqfsNBB6HQxGIwphFi6nfAYecaxCwZDF6KjFLNYp7Maj8eOXp9wWsqvk6E4fqpCJh35FaoOBvmGCYJAVNREIm4YQ915G/DiJEUb5iOPwlGrLX5J+vbCOtZ+/jzD7HIA4gU+iwxB1SqSqFVhVbkQRS2xMbNITLwcszmbHFcLB5dcw67qXXzX40Vm7b4Sg0duD9fYLiXOdIBI8TBmWrnR8wl7wpPYc+QfuHzP6pacLoQVp5FadchPJulVuYS1GGg2wc6sXPan9KBbwW5UXi/J5bLys8mUQGNIKj1yFHIYwGvzlfRFoGeBmx0y987KsP4UhWSQaP7PqvL9H8QeYDiwNXClJElfCoJgAV7/Q+7qDH47SB4c6hB0PsWk02ug1RvCXr2ihmxRxfKzIFe5XRIxlBjVKhZWb+3wdKEqL+f3ul9WUx7+CbVL7ttsgsD6xM1oRC1i7yG82+Uc/zE3JkUz6Pg0rnRlcBKmtWPVtDKlSyyLBQGXJFHv9nDH3B68/s1ethfWBx8rthKduoDHJsxlUvKkjtvUfT9grd/hX1xRkcbGrqP5NH6Gf13mkT2cW3qQOQ89gdYQPPHSN8TEV70yOH9nHo1uLx5B4B8TZiMUFTN2y3qyC48yKX8/OWN6A3Jbm2JNkQ/e9bWsivZhe+hkrs+8mGPxisfi7cc+4uqSb6B8AWRP6djv0WmDz8+FmoCqY9NekIuIBMDYvx+CVovkdOJtaaH49jto2bIF73El79sQfuUVCOrgYZm2SwJdXnkFSZJ+kz7KOnMmzpISql9+RT5/fj6hH39CY79+fiJJn5uLLk1OcU544QWi7iim/ut5CGo1IdOmoUtL/beuHXHZZdR99jl4PLiKiohevZI3pkzh8oRmHss38m1Tb86KDuWBtDi66LU0zJ+PY2kdIIJKRcJFd53Uh3FomJmveqVzIfCj0cLEfZswOeURfX5KMqXRUVjrG4hYsYKUyEgiIyOJiIjAYrHQ0NDARx99RF2d4gE0atQoRo8eHfTdN69Y4f97Ydde/EP0KdhiU/E0N9Gj5AgAhw4dYvHixUydOjXoeE10NIa+fWndKr/LTUuWBJFJID+3aam3IAphzPtmIy6fwbggeEhN24rR0Ei37vfhvPlF1CVliJLEk5fdgCZMTVKdPJm3P384rREmklT7EY5TdAuCmsTEy0lNuRm12kLjuSZafOmWjT//TMyDDxAdPYmoqMlUVS3u8Ls2mTLp1fMdDIZEWj1ebt5/jL07XEyoUZ7v9T37USeE87T0IBNZyFw+RYuLPfTgn9xDKwaGsYrLeBcTcszbRiQ1SyZSXnOiahBwU8XijVvp1bsnnzlG8FqVMo7IkA7ysHEvn64N4alFB/xKzUAM1MbR03KUsNreAFTvP4eQlJ0IoocoQy3DEzawsng4LSoV34yfQVptCdajFdTth/S0POLN8vUcUiwf7+hK9JGjdDOpKRMD/KLKWtqRST3s8niuHC//0kbjjFAzP3UovarzeLfbdCJUhcQ4rQgIqN1m6s06wte/DHG98RauBY+TitgYmgPIpDZlkqu182qEvzf+a2SSIAhaoC8wCBjo+z+wBRKAbsAvgiB8AdwsSVL9f+t+zuC/i41SDLdW38klBWq6e2RFhFZVS6K9DEknN/4OtKzU9eOWBi1arw2HS6n20awysS5ELtHt9D2WJrWT77aUc0PWIfamyzPXL10QXAljaN4utqR0xeNj/o2OVoYf3slhSck5FQzFCAKoJImrs84DQxglB/ez6vMP/fukds1idNcwhmy/kdeSLuDlpItwiPLLW2yXh1ht7dP9h4vZFx/B9tlXU4yK+pBwHBqDnGR/PAQByaJFsigBYjHwCmlw2X1YmhvIpIFC/Uqm63bQZ+oBNMWNuB1a2cQa5cJt1y+L7s79E+9lkz5ASSNJqPKbUB9pIj+9nqwenZMigkaDyhos324z8QYYIBwgUawClRZmvobL08zOXdfS0LDl+FNRXvEjcXFz0KhErhiWyhML9wPw2YZj3DwmA5NOC4Ovh94XwJoXYcMbQT4FDL8N9MrswoqDlazJUzwOrhiW6jPebqvcYCA2Rgk6AyFX6roFeAqoAyQOHHyQwaFL2hkRioLAq12TGbv5INUuNw6vxHV7C1jcPwvTCaTara1FHDlwFw/QTJUUhRoXJmyoJAcvVuopdckEgEuUuC62FYcqhvXG61jq6kOtW+nMdza1cseBIh44VMzIcAuTIq1MiAhhSf6/eGbzM3g7EGy2eBr55dgv/HLsFwDCdGFMSJ7Abf1uw6K1sKOxhYt2HaHGpaRCXRwXQZZJR6PbS5PbQ6PHQ5PbQ5Pby+7mFmpdHrzA4/llfNozjbCwwQjcjsQxYmJ2YrPlYzF3JTp6Cmq1ldCjr9NUt5ky4qlAnnF2oeWBoy2sbzrK8zlJWDVqVCoDZnMWZnN7xckhm51b9xeyvcmn1JNAlCTuSBC4KLweZ+thbM2HZFNtWz5qtZnQ0AGEhg4kLHQgJlMmgiBSXjGfPXtvBSSio6eRnfU3tNqTq8sCcbr7nyoaQrpCdDeo3Cuv2PwuTH223X6iqCEiakS79W1YvKeM2z7byFLtF37R4gJjJB84jOCAG3vdyMwelyEIWkRR6c6NGiOvjnuVSxddyhGxll8yvuDq1WOojO6LFzVLav7CeZF3ohZchEitZFU42G6XL2DXCKzJNRAXPozkRV8iGVoRRAOCoOaCVU18PCYEQeOlIvlaYpreIrJmj/+6JQkjQRDokhNcgdLbLAc9brWepGovsc1NlJstSILIl8nnc/dvSOT9H8HHKNkbQZAk6R0fofSX3/eWzuA3Rd9LKdy4mMyKnwAodvbApKrmUIDnYXdtvT9pemHEUGwso81+WBANSF5FfToxMpr4GJl4YtfX/vVLTUbsosgLY17j7oNKv5LaVMhdyR2Q8NYuOEyJ6GxFAKSYG+h71tkMr7KzolYm/Fc32vj0qkFMfPUbSqpkMkrUVjBreAUPj3oJq66T9DB7Iyy+z794rDmUb2ImsLDPuf51Axp2c+2hHxj3wHvoO1Ha9Akx8q9eGZy/M58GtwePIPD3q27h176Dufnrj7hsyY8I11wYfFDZTr/htheBdzJv4PHoObjUyuTd5TFm7tm6UF7wOOD7G+GqJSAGxAQeF/zrMigJIPVG39+OSAIQDQaM/ftj83k6NS9b1m4fVVQk1mnTsc48C33Xzn3jfsvJjsgbbsBVUkLDN/IknWHrVmp27PBvD5kRHGNpu3Qh+vbb/uPrahISCJk8mcaf5Ge+5r33sUyezKBQMz/1y8IjSaja1MReL9VvveU/1jp9GtrExA7PezwGWE183TuDuTsFvuk7mkl7NxHTJA/6W41GWo1GyoG9vvsA0Gq1iKKIPSClcMyYMYwaNcq/vLXBxg+F5cxZs5a2of3Sbr2Drr0uvQdmeyupNbJibfPmzYSGhjJsWHA1tJCJE/xkUuOSn4m64/Z2v7EkSWzbZqK5SYlT0jM2EReXR3zceaR4UikolidyvILAxu69kVQqztuyHI3Xg+gSWJI3i03Z99Cd3fQXdtJDPIjFlMGgrvdhNqX7z2seNw5VaCie+noku52G738g/JKLSU25uUMyKTx8BD26v4JabaHG6ebS3flsbWzlol3Ke3EgOQ1XZBSDTXpyzQZyzTcQpbsUs7sEVF250+Zga10zi48NYb85l+uE1+iObGDvRMvzwv3cqfmYLOSx4k8LlnBFazBtkSwd4R4ep6pM4rnlffAGVDwLxGZnPDnWtRhKDtJqyMZli6L+6DDC0mWV4jmpS9hV1ptx6nzMghNvjIkNEYPIbzTyhGmd/zyf7R3H2lK5VR6gc9JNkMdpgiRwTrmG57rjzyQxSBDpAi8Sj0stOH1pma/3muM/38BGB1q33F5qXBbsBgOekoN4quWsAIdWS11YGPZWEV8BcxJ9ZJLT3khJcwkJ5o49iX9P/OZkkiAIryITRz0Dzi8gW0ftBNYD63z/TCh+SkMEQRgvSdLRdic9gz89JubGoFYL2AKUEkZVHWZPKxZVi78couD0onVJeJwHCHRfWR/eD48Y/DgKLg+pf3+cZx/5OxdFxVAXEhygZOXvwS2KVIUoA5dRh3agd7uo9irkgUovu/+f1eoicfjdtDQ2sOClp5F8sl1LRBRT7nwEwRKCfs0/uXPpw8ypWMr9mbeyIlxWPAUS3XavxLvF1RD9nxfTaTJb2YaVbVzCF90vASCltYTwiCRsLRW4HDY8XjVOUYND0OIUNbSqdH6/A4AEnYbsMifr8uVAb+Gecqb0iOvweh3B5fEyf6fiKTVbtUb+Y/jtOKxh7Nh2Ac02Jd3JYulOU5M8gKyrW4fDWY1OG8n5AxN5adlhmh1uGu1u5m0t5rKhKfJBeqtc1a3/VbDiCbnySeIgGHht0H088dN+//KwjAhGZEaybbuSNx4TM91vANgRBMKRuBVBeBJJcuJwlHO04BUyM+5rt2+0TsOruUnM3SnPIh1ucfDg4RJezElqty+Ax+Ng956bcLsbEYF4VROJiVfisJfR2lrI1WIB/yhqxiUJ2LwCn9fquC6ygpktjzFbl0pJyvN8VWtkc6NiItjqlfi5upGfqxsBCbVDi84yFW3LNizUMzZhCgsPb8SrKfFXvWlDnaOOfx36F6W2Us7t8xRX7z1GS0CViIfT47khqXPFx8Kqeq7cUwDA0ppG1tQ1MTzM4vsek+neTQ6Om22HOXLkn/6AYhwwhmUsdg3lW9WVtPpm5RZUN7Jjy0Heyk2hn7V9HrdHknirqIqnj5b5yy63wSsIPFcK39XF8FxOf4YknViub3eUc/DgQ7S9mZWVP1Fbu5aszPuJjZ3zmwbe/xYEAQZeAwtuk5d3fA7dz4GkQSc8LBB1Nif3f7eH88TldBFkgtUtqHg9XAmWpqROQaXquNJQmD6M8/s+y1159TTEqsl55zIsTcfIT5tJnSeRDU0XMTzkQwAiNQXMCHuUJk80uyOjmV0bx/DmLdRrG6m3zUdrnoMgqNG54ZIV9VQONyAhsC/nMvpteRSTo5lWXTgV0f0RBEjIDiaTPD5lkkttQgCmFO/ggxyZRPsydAh3BAwizgAkSfoQ+PAE218AXvi97ucM/jsIr9vh/7vQ0Qe3thq37z3QCBLDNQfxURvss+QQ3hiOylOPQZS4JEbHFxUtNHkFQkSJK/o9Krd7LbVweIn/vD+ZjHQN78qPzQmUq+QBtcbr4sb1b9PYPRdDWkbQPUleL/l1RnJ9zUz3RJHw+ASmSNV+MmlhdT2PZsTz7bUTuPzrt3F74KFJYxiZFDzZ1w7LH/enhXk9Am+Kk1k8erZ/c1pLER/ueYCQ3AFoQjohpHzoHWLkX73TmbP5gD/uXN1nIJu79uTyn+bRf8cOQnr3lne21fgNtys14dya+xArQvsGne+G2DAeyklCUP0TvpA9GSnZIiuZhvmySiUJfvwL5P2iHNj/Khh1T6f3aRo2zE8mtUHQ62WvoZlnYRoypJ0a6b8NQRCIe+QR3OUV2Nb6FLQeT9tGQqa2T//6rRBx1ZV+Msm+Zw8tmzZjGiSnNwb2AU1Ll+LMy/ffU8S117Y714nQO8TIN30yOG9HPj/0Hs7wvF3klh3rdH+nM1jNPWHCBD8BVO5w8eDhYhZUNTB49zYu8O3botOzIzMXQZLIxc3F2an8WtvIsq79OGvnGqKb6gH45Zdf8JrMjOjdy39+y4QJVPxDrsjmOlaI49Ah9NnBKrh169axa5dS3CQ+IZ+4uDw0mggyMu5h6z8/oO0t2ZeaSaM5hEFWE2KvfrB9EwA5FYUcjklkU9gQNjFEljY3Qc99bu5ObWB8RAiCICBqtVhnz6b2gw8AqP34Y8IuvACLpSuRkeOorpaJUIMhhbTU24mOnowoqslvbuKCHfsodMn02tBdW3Cp1WjcbnpOncyB4d2Pi8cigCRygHGR8NLhRlasr8ImwAvG6xiauJmssHyWSRPJM2exObcHWUUyLdBv/27mjZvqP1OWUcsdLc9jklpAhL4xO9lQNoCEUAOTusVypLqZvMpmiutayQrLZ3C3BcR9qaE8ZhTlMQOp2TcNa8o6RJUbo6Ge6xN/pKxcqXCZra6iX9puRF/sXWGLYn2Z4mfU6q5ps0MiWgphikfP3rAQfqiT1aZdXDL58S0udggBZuLaMjxOeYxWrY1E5VMvqVwm7MZgIUBlTDSSKNLs1bYjk/ReJ78cWcvlPc/jj8bJDThOHzcC/YBm5LK2DwPjgVBJkvpKknSTJEmfSZJ0VJKkPZIkTQGuAVKA5/8L93MGvwP0GhXhJi3mgMpEFlHOOY73KkoTnF4EScLjUBrI7V20HDC3n5FpFgw89cZXWLdv42/vvoTY1tkBIU319N29ng1pijQ0u+wYybWyFLFeVNQuor4ElSRxTc5FSFozi157geYa+Z5ElYrpt92DweLbf+hfoMtAUu0lfL77Ht488DciORXjXsDlRVXYjHZTFeatNWg2V6HZUYN6bx29muH6LlFMwU7asQOYbZ2fs8CQwLYWDweJ5IgumWOGBMp00dRqQ2lWm4KIpLPC9CwfkM3lOQp5tGx/BXbXyQ2327D6cBU1Nrlz1OJimmojmKJp6TOTLVvPCyKS4uPOo3+/eeh0sj+VJHmorJTD3RC9hvMHKDNH76052v4+QhNh9ptwfxlcvgACqpt8vrGQ/Cp50CkK8OC0XFpajvp9kEAx3j4RBBJITr7Gv1xU9AHNzR17/4wOD+GmAMLli7Javquo63Dfw3mP09S017+ck/Mk6Wm3k5v7DP36fcm5YzZw74D7/dsP2lUsatBg94LXcZT4gvN5LWoVy/pncWl8BGbV8c2vgFuXiS30fOrin8aT8jbahGu4Y/QHUPR3WoouxVkzHBwJQSb1S+s8XLwr308kqQV4tWvSCYkkgCmRVgYGkD6P5ZXilRSSp7W1hL377mLjxql+IqnFC2ub1bxcFcqSsm0YSh/AYFeUKcV2F2dtP8wrxyqCzpXfYmfmtsM8ll/ajkgKRH6rg9nb87jnYBGN7o6fYUmSOHDgQdzu4LQ4t7ueffvvYcfOK2htLTrhZ/9d0PM8mUQFcDbDh1Nhw5v+ks8nwz8W7afF1sTNasXjYF9yP0p8Ju7dIrqRYk3hWKuD9fXNHG1x0BpAJi6squevRx0g6nGr1ZRGxZJctJTeu17FJXrY1TKdUmeuf/8k3Q66GZcwt+VTXjj0LHOqV9AvvATJXYyreT6SJP8eerdI4vIanE0fY2v9nrVZKexMH8K2PnfgUeuJTglBZwgeHLWlubl9VU3mlC1D5TOzLBEtrK47tRTHMziD/zOoLyLCqSiCi5y9qdUrPi0JGi9JQjHhkpLO4dT3xixK3BztJlddyu0xdmaFOnmw23i6RI2Ud9r3PXjltPwaUSR0n5bk5sF8Xa70a3cd+5CQymqK9ravwnl483r2lyvvbzQl4HExKdLq73eK7S72NrcSYwln0ZX38cs19zHyZER5yVbZP86HNZU9+XzsFXh9nphmexOf776HCHcD6qPLoK7zgX8belmMPEIjiQEVPe16PW+efTFTj9ayqbZBLvQx73JoKOSX8MGM6f9+EJEUUV/H+y2VPNw1WTYhz54CPQPijOVPQNUh+e+lD8POL5RtXc+SFacnIMKtc2aj6dIFBAHj4MHEPfkkmWvWkPDcs5hHjPjdiaQ2CBoNCS/9E1dCsKrBOGgQmpj/zDfwRNDn5mIaOsS/XPP+e+32kSSJmjcVVZJl4kR06ent9jsZupkNfNsngyi9jlVZffh00ETEOhu9tu8gLT+fmNZWTKb2E1+TJ09m2LBheCSJ94urGLFxPwuqZHX80F3b/Psd7dWXJ7un8jr1PEATVyRE8mH3VP7ZPY21vYbRqFcmepb8+APvbNuD5Ov/NfHx6Hv29G9v+lkhgAEOHz7M0qVL/cspKSlceMHfycx8kD59/8ULRXbKlipKt3U9+3Jdlyjm9c7gkemTiItTxgQT83ei9war3Xc1t3LJ7qNM23aYlbVNSJJE+MUXgU+Z7yoqosl3/pRkxYqitbUArTYc8LA47xumbN7hJ5K6FR7mcK9u/DBrJvlpaSRMmnDCiT2n28unG+X3XJDg8l6JVNSM5KP151G8IRTdsjJ2epUxRe/D+9H4PMbSDTpu0Iewu1R5LobHb2REZiTz/zKcv83I5cMrBrLm3rHseXgkfx36LZZSO3qHnZTCn+m/7UlmXDMUnUfxs0xK2YEoKm2JwdBA7zjF52lPTTY5sWYGpshp/HGiMo6L9YahBs6pUr7n/uUuSvDyBoraLc12hME1inqrRqNYAthUdpotwROp5TGxeF1eGjXKc5okymSSUXCQa2lv4/FH4L9BJl0DdJMkKUKSpGmSJD0uSdJySZJsnR0gSdJ7wFJg9H/hfs7gd4JOrcIsKQ1HqG82PcUTWO4cmj3VSN5a/7rt1mG0PYoGTXCK0UelVg7W2ul9eD83f/0xIqAXPExY+S+WDZ/uD0QszQ1c6pUHJHZJTYNb6aBVhmKmtbpIHHYnm36YR8EO5UUeceHlxGcFEFmiCma/iaTWIQCzKlYyf/8lXBsf0mEWmyh5ia0oYujmZWSuP4JmfwNinRN3tR1VrRNVhZ2rk6JZNK0XN2oc9PngOc5e9Ck3fPIMT+9ayjORe7mx9FNG124izNVxHn1HCHE38eKBp3jryAtYNWpGZkVh0srfXYvTw68Hq075XIEpbuPEbVgFG61DLmPL7sux24v921KSbyAn50lEUUNMm5weqKiY7//78qEptFWxL6xtCVIaBUEVHEA1tLh4cekh//L5AxLpGhdCaemX/nVmcw4hIb04FaQk34heL3dCkuTm4MGH/Z348bgvNY6+AYbYdx8soqDVEbRPWfn3lJQoFbO6JFzSYbrdeTkXMDZR8Zz4pUnDgyUG3q3WsrnZy+5DT+I6cguPp5rYO7w7r2eFEuvchOiubneuEqfE28VV3FdcTt2wBOw5w7EZ59JQeTvisVvI1gq0WCbTFHkjXt/7Y1SJfNwjjXNiw9ud73gIgsDD6YpJ/a7mVj+RJlHIps3TKS//Dknyctgu8mmNlodLTXxdp6XAJwVXeRswVT5DYtNXcvUywCPBE0fKuGDnEcodLt4uqmTc5oNsaWxpfxOd4OPSGkZuPMDiqvbvRHn599TUyJ4FZU4Bu2UMKpXS0dbWrmbDxikUFr7vJ0D+EGhNso9Gm+LS64bF98K8K4MN6DvAhiM15G9dxmfaJ4kW6gGQ1Hqe0iufZ2rqVH6pbmDYxv3M3p7HkI37SV21i5zVu+m7bi9X7SnAFfDMH4uVf+vwuoOUGzZTGqplWcNfsHs7V4HlWisJ1bTidR/FZVvkf4cE0YzGNBPJ24RbbKUydjgOvaxGSuza/tnz2uTf3qWRr5XpPcD4mg3+7Z+X1bY75gzO4P808pWBYL07jkZPLMVGhfBJ0noRwG9OCyAZe3NXlJ0EjTygCldLWCOmMblPgEgtIMWtttjAzA0h/GhSZtP7Ne7lpsIvqHaYKNq3O+iWJEliwzdfUtxixe2bGBRdzVCylRidhn4B/eTC6lOPV/C4Yf5ttClJ81UZXDf1MRw62aRf43Iyadk82sxOBCSK17zVycmC0adyFZ/tuIV7j75LqEsZ3OWFhnPWzqPc8e0rlJXs4/6MW7mkx9PUaBXV5NCdW/jsx8+YMnVC8Ekn/wPMPkLF44AfboR1r8Dal5R9kofDnHeCU+A6gDosjPRFC8netpXkDz8gdM5sVOY/RwUmldlM7Y034AkN9a+zzpz5X79u+JWKibNt5Sochw8HbbetXo19n+LbGHnd6amSApFt0vNdn0wSdBqa9UaW9hlMzsGDDNi8hdE//MiYGbO59957ueqqq5gzZw5XX301gwcPZk9TC9O3Hub+wyU0tU3SSBIj9yqFMMbPnsEl8ZFYA3IXBEHgnNhwlozoTcOICdh9aZQqr5e8RT9y6dodHLTJ8VPIpIn+4xqX/Oz/u7q6mnnz5vn729DQUM4991zM5hTMsZdwbZ6Hj3YdIOfYEf8xE2dN49HMBDSigEql4qyzzvITOTpbM695qnmvewqTI4MN07c1tnD+znxmb89jkyGEhoFK2n3N++8hSRJWa2/Cw5Q0vYOHHuWltbdxbWEXGrEgSBIDj+5jxNG9cpqWWs3WAf0pOMlv89PuUqqa5FhbLcItYzNZeMsI7pmcjVmnRpDggD4Ru0r+DvVOB/OcDXzbK53JdfDXL3bya+EA//m6RhzijbnxhJuCU91Kip7H4ypBt1ehPKyDBhKfG0/X/jfi9crvsFZrJy7+IHpbPEiQlLwrKCNgXNIaEnSrePvSfgyMMBEtKnHcUq8RDxLdNlTxebdUHjOFcv2hVp6k1U8l6b1uxlSvIq1eaTsbRCPONoW9qZg6S3CFwYrYGNQVynUEQSIWOV6KNthJDD+xiv/3wm9OJkmS9J4kSZ2MIE+IIvAr9s7gfxB2uxtjAJkU5VMmpbrLkAKYmEav0nEUxiVha8nxL1v0wSSDW9TwxMDLsKl1nF+cz8YhuWwe0pOCzFyqIhXm/bz6PVx18cXceOONDJys5N8LqibUqnquzD6HipJy1n71qX9bev/B9Js2q/0HiUiXK5j5kFpZz+0Vb/BL/2yGhMppGoOtJp7LTmSh1cMl373FsK0ryC3Z2O5Ut47L5OEZudjqa/ju6UdxOeRmRWswMPuiyxi9+2n+dvgdvtx9N3vXzeTdxu3cJjXxRm4y73VP4dXkOv4qPcpD0oM8xgMs7h3NasNudq+bzQUVixB2fQUFa9FrVIzrqswmLdxd1u5eOkKj3cUv+5SZz9mqNXjCurDJ9S9cLmWAl5n5IOnpd/k7p9iYs/zbGhq2+ZUgieFGJbUN+GTDsVO6l5eXH6a+RQ6QTVoVt0/Iwut1+CvHAcTHtzfe7gwqlZ7srIf9y/UNmykPOFcgNKLAG7nJWHxKoWaPl+v2FuD0zeQ0Nx/iwIEH/fuHWHqSmfnXDs8lCAKPDn2UaKOiCnIjsKdVzae1Oh4sMfD0gbW8snwSa498xitrr8BT/grhpbcTVvYA6S0/kizltzuvR1DjiTDgzrbiHBZD+YC+bNG/jC1MKTUsepp4MyuEsRGnVl0F5Oo4M6JC/ctPHinDQRnwIvWORn5pVPNEuZ7XqvRsaVEHkRP+z4yEvW4BY5seJUJSSMyVdU30X7+Xv+WVYu9EjZSgU/wqtIJAhkExGSx3urh8z1Gu2H2UNXVNeCUJh6OSQ4cfQ5JgYYOGpysM3LdvI6vU0wkLV7wNvN5WDuc9wZYt59DUfOCUv4/TxZHS73l1+TTW7L6f1tbi9jv0OAcu/wksAWmne7+Fd8Yqs93HwVm2F8/nc/lG9yj9RKWtrOo+i90O+fsVEBjWZTx3HSzCfdxXW+/2UOpwKeGt5CW0/DEqzcq5etQX8tUEK2u6JPFF9cv8XH8ni51X8UbCeXwbPY6Nob1xh6Wi0eq4KHU7U+IP0C9kGaGe7/3nEFWhaC1ng2BGVCuz28f7JYGiTHKpjYi4CFFVcGG54lexuKqBGqe73XFncAb/VyGpdOT5Zt0LHX0A2G9WBhkJarn/6Rvgwe7Ud8eoVdrMH5hDaPJ9frN+6guhUEmpUu0x8MKFV9HgU14bPK28cuAJJK9Eg0tP0d5deAMU3/lbN1F17ChuSUVJa0A4nicTX5MjlXUdEf2dYtPbUC6roGrUVuZ2/Tt1IaEACJKXXvk72TpmDu8mKubghp2fcsfug1Q5Oy8Tz6EldDvwIlmNe7m98BPWbbqIi8oWBO3yedx0+gz5hvcTFJ8SndPB7Z+/x+NvvUDO3Xe0jyuM4TAjgDgq3gxLlBiAmO5wweegCR74dQZBo0E0nLi4xx8Fb1gYNbfdSsj06UTeeAPWmWed/KD/EKZhQ9HlKHF/zfsf+P+WJInqN970L5tHjUKfm8t/gjSjjvl9M5keZeVQUhqF0Up//PkHn3Ld4TKawyLp2bMnYXFxPJpXwqSthxRfR8CqVvG62IK1zhcXCwLmUSM7vWaMTsO7Q3uTM/UsPL730+ByErl2KecvWcOl2w+RN1ghaJx5+Tjy87Hb7XzxxRc4HDLJotFomDt3LlqDkV+qG5i45SArapsYvGeHcrG4OCYP6hd0/bi4OIYMURRgW9avp6+7lQ97pPFz/yzGhQfHiRsabJy9M5/7eimfyb5zFy3bZCVWSspN/vXft2TwjOtqnIIOvdPB9F1r6VsYHM9IgsA333xDaWkpHUGSJD5YW+BfHhyrIsKsQ69RcePoDFbcNZoLBibiVqnZE5Hm32/h29/z0AdbeW+lTKTlN6RS0aKMfSorvwu6Tl3dRoqL5QqC+r3Ke24aOZKGhgY+/+wnSksVb8+0tMMM6tGbMFFLVJRyf3a7/P72jNjId9tLmOB1ovGlrrklgcVeA//AjtvmYtCxVs45YmeBx8lOlPZ1fFMTRm8rVncjGq8vrVIQqFLJ5ykPKaAg2kODr0JiWWwsNrMZTY2ixdFqPah8BFe0XiTO+udoV/4byqR/F89xxlDyfxaSJOGyKYMBCS/RPvY0qbUMSas8ao1SsW8fOByjSAx7dbFS0xygCPENXEvMUbzY53yMw4aTqNdSZHeyLWuof7f0I2vYY/oZh8dBdHQ0hQEaONFQzBR7K2kjHmTX0kVIPmPjkKgYJt9wW6fkhDDgWmzRygDJsvpDcr11fNcnk6JRvfi+byYXx0fQo1cff4pcauNhLAGF2B6ekcvtE7JwOex8//Tfaa6VyTVBFJl+232oHHtJyFOk3J5eZ2O0JDMQF7NjwpgWFcqclOH01ZaTw37SpQOENS4gc+CF6GIDOtef7gSPi6k9Tj/VbfHuchw+Y+gwmhgt7mBfghO3T0goCGpyc58nKTHYXNJszsVoVOSlFRVKAHfflBx6JChB573zdnGsplNhIkerbXy8vsC/fOOYDKIteiqrluByyTO1oqgnNub0ZswiI8cQFaXM/BzOewqXq77DfZMNOp7NVuS0O5ta+ceRMtxuG7v33IzXZ3SqVlvp3v0VRFHX4XkAQvWhfDb1M87OPLudEakbgT12NR9W2Ll17TNUt8qKJAGYqM/nEf1HPMk9vCxdyxXS2/SXNqKXOlD06FXYA2YTRXcV1orHeH31RbQ4Tk/lcX9aHBrfe1DicPELe6hx23i2Qs9PDVqq3cHdRKgulIu7Xsw3Z33D1FQlf31n/VEubb2b/pKiOAkkOqwqFYFzuANCTCwdkE2MViaQnZJEN4uB+1Jj0Qa8l4uqGzhnRz5DNuznb9u/o9ylZmGDhiWNysv2dd58Pq4LISP7GTQBsuHGpl1s3jyT6mql+spvhbL6XVyx/EHeKirk5m0/8uDiCWzZeT0Sh5ECXdaSBsN1qyAlwGi7+iC8Mwb2BBCcjaXww82o3xrOMPem4It1ncEHUcr7PTB2IG+Ve6gIIGA67cx9gWxZmJJKllhWwneDsrj15r6o5vRmQ9dp3DL0Ih7NuIkbu/6No+d/i/rWHfBAGVf1GsS+tBRGRhdwcZePGWZRAn9RFYku5DIEQf4t1FqR2LT2c0J+MkljIlRdhih4GVezkWin3CY6JYlvKs6ok87g/x8c63IW1zc/y4eV77LdNguAAyaFoIlxyG1gV/ailuT+xyXo2Iec2v8VF/Iv4SKmRYcqJ909z/9nhVfND1njWNtbmbn/25E3SWstodYhe565HA62nXs2JXfdTdHNN7Pq+af8+9Y2Kud1LHsfT7ONqQETD/tsdo4dp+DtEA0lsk8iYBP1XNz7VYoiFEWsJMG5Z81m8cRhqHpfQIsoEzQR7gY8e75l+MYDfFRSjT0ghVf+gHth3pVBVarC3Y08f+hZ5m+/kdzmvA5vJ6OkkDf/8QBnrV5K2PnndU5UZE+Bnue3X29NgovmKSnM/wfgiY4m4blnibrlFn+F3/8mBEEg4kolpmxYsABXhTyp2bJpM63bFfVPxPXX/SbXjNdrebd7Kj8PyCZ/lKIeH79pLUuqGxi7+SDX7i1g5MYDvFFUhSegC58TE8aaQTmMCEhxM/Tpgzr8xApwQRC4vG8PJgYYmltbbczauYbkH7/g40WLWDl6NEdTUmiymGn4+WfmzZtHTY2S7po+fjJP1TnpsXYPl+w+6q8sPWS3ci9hY8Z0OJYZPXo0YWHy5I4kScyfPx+v10svi5HPeqWxoG8mI8KClS0HenVle5byTnz57EsM2bCPK4+G87bmUV7mDj4SrkESVEQ31nLuthUk1CvKektjoz8VzeVy8fnnn9PQQfXCbYX17CpW1o9PDhYSRFl0/GNOT769cSg7YxSyp2/lQb8dBkBmtIWcVOU9LSv7xj/O83ha2L9f9ksV60FTrDzbUv8B/sp9xUXd8Hjart/EBv23pCWs9mevttis7N0xDUmCnPDDfLVhO7XVSkZHpdeCB5HFuHgWOw2rizmwr4q3UNrHbKeKHI/8WwhAhFOJd6pU8sNWZiylztDI0gnjWTFmNGuHD6Peq8fpUu5brQ9QwbmUAgx/NP40ZJIkSQckSTpT7vZ/FI12N8YA7qJV00y4JDOvSfYy0CnDSIcgS3wLLensC2hjrhiW6m/ABQFmJygzUmsTevKBOoFWj5eb9hxB8g2QQhtqGLtuCUeajvLPrf8EYNl+xddGrSvmrIhQPKg5tH6Nf/3Qcy/stFIIAKKIY/LDuH2KKrXLifTDTSBJqEWl0Vap1WQPlZl8jeTmUmEnFw5K4qMrB3LFsFS8Xg8LX3mOygJFbTL2iutJ7dUXFt6Fj5DGpdWgmfxcB7ehIT5eUVqVlH6JJAhy+kwbqvbDxrcYna2kutmcHlYeOnmq27fbFDXFdNV6pLg0KsM8vmvr6dnjTeJiZ7U7ThCEoDSv8oof/X/r1CpevbAPZp3cODc53Nz8+XYcnXjgPLlwPy7fD58QauCq4XLRx9LSAOPt6Km+am2nh6zMhxBFmbl3uWrJP9K5LdusmDAujlOqAL5RVMXHO1+jpUX57brlPo/B0OWk1401xfLI0EdYcd4K3hr/Fmdnnk2oLrTDfUUk5oY5OCvU5U8RjNVIXBAl8Uqqk9Vdq/g0y8PNXcz0thiC3eABTWstoeWPonaXk9/SyD2LJgV5O50MqUYdlyUon/t7pvFmTTgNHqV7EBAYFj+M50Y9x7Jzl3HvwHvJCsvi4SEPk2ZVZo2+qXFzifs5rhY/RRcQ20yMCEEt4p+jidVqeLd7CmEaNfelKSTJD5X1jAizsGxANoOOM/E+ZnfyUesgbhPeYp7+rzgM/ZEC6Kllhct4aNcPdO39NbExs/zrJcnNoUOP4fX+dsoXSZL426rbqPXIH9KDwJJGNXfvWc0B+3PAE5SX/4C3bfbJHA2XfA/DblNO4myGeVfAovtg6SPwch/Y/gliwOCoyJjL3nO+4YNhz/NxnY6msMtpiLyNrYYr+bhUCTi1gsCFx6U2WlQiF8aFMzM6FMk8hJII5QcxFxcxYeMB/n6kjNCeEXyWq6HRJH+XY8MtnO87V0VLJTttZdzc9XH+mnEbLkFFb9OP9Dcp76YQQKxGdDGjUrcPK/yeSWoToSo5CFPj4bwGhTT7vKy201TUM2gPQRBGCoJw+o3iGfwpsLO4nliPiM0bQbM3Co2qBrdKbiGNdonoSrkd0OCmDzv8x22jP/PdZ/OjcDaDrCbidAEpHbuVFLejtWbemqMoV0c0H+Xy0u8BaLIpipry6goaFyzgyMb11HmVmEt1QDEk1qqqqX3zBdKMOrKMyrGLTqZOsjfIk13OZtyouL7742w3KQUuBuzZQapJz4VxEYRq1Dzaoxu27kq8c2XJdzS43Nx7qJiM1bsYs+kAN+87xkcH92H/9FxwygR5s8rA9V0f4sb+r+C9bBExqwTeePwBbvrhIwwe5TNdVHCA1556gJTyEkSrlahbbz3x/U9+Skl3AzBGwCXfQcipFzg5g44RMmUK6jZfH5eL2o8/BqDmLUWVZBw0CGOfPr/pdXtZjFx99SX+5dSyYtJLCpGAHyvrKXEoz0uyXsuXvdJ4PTeZKK2Gpl+VSSnzmNGnfM0RffswduzYoHUqSSKquYHy2Bg2DR7EwmnTeKusjLw8hQTdndqV21pUfFleS31A/KxzORlyQPGqNI/p2DdHq9UyfbpiSVFaWsrGjUoGRX9f1bs307ugrlfe93+NVyb5B+/cgqvgGOsbbKx0d2ejMAwkiW4lR5i1YzUmh+IHlFhYyIQlvzAlJtZPbjU3N/PZZ58FVckD+GCtUmsrO0wkydIxHdEnKYyu08f7lzPqS7A45XhiWs84vr9pGN0y5tJGZ9jtxdT5fFbz8p+j1S5XXtPvU8gqV1oaX6xYTm2tTOi4XAa0WsV0vkfojxhSFaXVscKetDgNHDs4ElGQyGQ3bk29cj6DEj/Px8UzlbU87rT5q7qFGdSMdXjlqriiHFtFORUCrlLlxSZI1AsCddo63BoNlTExeNRqDnsiqTEoxLUYSCY5O5+k/73xpyGTzuB/G42tLkIDHqdWTQM63zOfZA9WJtlURrwIbIpV5JRjsqOwGhWlQbzVwMN9IulTqRgnv1MTys0r9nDU6WtUJS9TVnxLaLMXY6uKT/d/yuri1eyvUBrFAWI+oV1HcHTHFuw2Oe9UrdWROVCRf3YGa/Is8jKVlA0hfzls+6jdfrkjlIZcPLiO+0bEMCorCoBVn75P/hal8e47dSa9J05F2j8fU4mSdtIw+BwwtE8PAYiPO5+2uuCtrceoq1sPXfpD30uVnX79B/rWSsYGpLo98uNeyho6Z65L6lvZcFRhx2er1lDarZvfTDI2dhaRkZ2bu8UEkEk226Egk+vkCBNPnd3Dv7y7pIF/LGyfbrQuvzooze6+KTnoNSpaWo7Kn7PtO0g4ufF2R9Dr40lLvcW/XFLyBQ2NOzvd/7HMhKBg+amGQdQRCsieUSf6PjqCRtQwNGEojwx9hOXnLeetCW8xI3k0Jh9rZBQlro9yMDY6mbi4c+ma8zRDBi9lxPBN9OzxBqmpfyExbibjE/rxYGYGi/tns2dYN0Y0garIhupoE+I6O2KdUoFiZYOd11eeS3Hxp6c8OL8pToUR+VlpEcwcNSoVdq7ofgU/n/0zb054k0kpk9CqlMGLUWPkxdEvYlDLhF2rJPBRtZYR7u94OeRTbk2K5oPuKVQ63dT4lHJaQeC97inE+FLczo8Np4dZkeo+lFdChlHHd30yeK97CmPDLUEdlSSIOA29aIy6lfourxHW5U4kQSY0tldu56pltxCWfCe9er2HIMgESau9kKqqnzlduL0SZQ4n7uPS9Obte4MNde3J2mq3yJtVej6qKWPd7jtYt240BQVv4HI1yD5hEx6F8z8DXQAHsPENWPMiuJVgK98bx33qu/h89jzGVUXy18Nl1JimYLeMw2nsR5knuIKbU5L4tFx5lxP1WpYOyOaFnCTe6pbCwlEXB5FJBqeD6LoaVtQ2ce3eAhp96kSLSuS57ER/IPjJvk9w6TJApeeDhNmc3+dlJHMsA81f0tM4n+NhDu1YsReoTApTKwT2BYIyu3fAZg9KKziDk+JX4KAgCJecbMcz+PPB5vAQG2AL4NEq7Ul6mURogbKtT0Cq2x53X+ob5AmNGYGqpPI9UKn4zGwSRlJvkQchesnLS00/+g20pVBFVVxjNiABeTFK/BHVaENTIeFulVteQYSIhueRPprJVIcyyFp0vG+SJEH5blj9AnwwFZ5Jg0OLkIB7su7glzBFJTVz5RLqLSHcmxqHJmCCLmrYDf6/ezUfpE+T7JrhlmC/zc6C0nK6L7gKfZPcdngQub7rw3wfPR5r1ljE1KFY5v4Fb4PIOYsX8/Fjd/NYXCjfmCSufvpRtG55UiHq1ltQh3Ucc/lhDJd9kbQWCEmAi76GyIwTH3MGpwRBoyH8UiWGrf/qXzSvXYttnRL3Rd5w/X/l2trkZPS9FPPrc7dvCNquFuDW5Bh+HZjDaF86mKu8HMc+xcHF0gmB0xlGjBjBzJkzSU5ORuzEdN2jUibHjkTGsTYxK2i7ThSYEmnlW089Kh+JIxiNGAcOoDOkp6fTM8Doe/ny5dTVKd5sHq/EZwsPodpYhWZLNWKVnU2p3SmIlTMzREninGUL/furPW7GHtjKiLxdiG0eipJE723bGbJuPYaICHpfe00QiVVZWcm8efPw+FJqyxpaWbSn3L99fNKJTejnnDOKOr1caVhEYrKzmH/M6cGrF/TBpFOj08UQEaEov8vK5lFXt4niYmW8FnokjUaLhWPJSSwfOCBI/TV+/HiGDX0ElUoWGBjUDr8qqbUpnOoquXJ3cXkaTdWp5Io2XBrFn+2+80YyIEVpS77Hxb6A9LZ/zOmBViPHNqJaJlAjncr1K1VeStVevK5IanVKHCchccwZSqUxoJ0KIJNEdyscZ6z+R+EMmXQGvwkSw408MVkxsnYFsLZd7BVIAcqkekMoB8xZlLvlQbsgwD2TczhU1Yw73ogrw4Ijx8pd5U14ultR++Q7kiCydHUJOOSXtP/OdXQpl9PEourlQcwtSx7E7VZKx8+OOILRksWB1b/616X3H4TW0HE57UCoVDqcuZOpDg/IXfv5AagrCNovNiOL0FhlpurA2lUA7FiykK0/KZWY0voNZNQlV4KjCWnhnf71tVYN5iEPdXofBkMCEREK8VbSZko97hGFgHI2w5IHuHRIsr8RLGuwc/n7m2lo7dhz4PutSopdqlBGn27dKFMX+teFhnbeQQEYjSmEWJROKlCdBDC9ZzwXDVJmIT9cV8DigA7E45V4fIHSOfdNCmV6T/l7LC39l3+9yZSJNSS4jO/pIDHxCkymNrJF4uCBhzo1ZjaqRN7qluxX1TQKVt7gVkKsQ0hNve3fvgfwEUvxQ3ly9CusOH8lrw26li/HPcFV4zcwZPAv5HZ9ivj4czAaU0/oDRWp0/DFtJ7cEB6G5lAjgluiuWwmnlYlLfOrWpEVex5h956baGzcfUJSyems4djeKzhLUlIkWi0T8KiiuKLbFdzR7w7izJ3PxKaFpvHwEMWfqsil4rs6Deb677hIu4zF1Y3sCCAJ/pHVhX4BqiNREHgsU7n3bY0tfFdZjygITIsK5bOeaXwU+hHdWr5CdFcGXdstmjgk9kZMegavKAcCRxuOcvHCi6kWYomOVmbYjhW+fcrkmt3j5d3iKvqu30ufdfvotnYP1+0t4OvyWvbWFvPsNsUcNsuo55KuFyMKSne6vUXNP8oMLKup4XD+c2zaNB2322ei2HU6XPur7LtxHKokKw+4rmSS82nipl7KS8WnbqTfhnSDjh/6ZJAc4D+VHhJHz+SB1ChNI0kV7b0MHs1MIF4vk4UNjga+PvQ1Lr0ieVcnDUa4bhVC8lCGWz4gx7As6HixoyoFBJJJRsLUCoGUHhbJ4IBn4YszRtyngzHAA8CsP/g+zuDfwIWDkuihVwjker3y7KeXgalQeZd6sxXBl7pRoYkixlGDAEwPSDtjt9Jn7he1fDZYSf04L8JCfMVm/3Lo6LOV61otOC+eS71JmUQZMvcSurz+Ot5URU0hqiSEo78yedPj/nWb6pup2vU97P0efrgJXugKbw6HZY/CsbVy0QHg2eQr+DxOGVyO2L6J2SsWY8jN5axAQgwgphskK14yj9T+hK6NbJIk/nnwKfo1KaTZI+k3sjRCnhwc5/MLtM6ejSoqEoDIygpmLZhH/FPKfetycgg7v4MUto6QNgruK4Rbd0FCv5PvfwanjNBzz0W0yJ2St7mZklsUpZihVy+Mg05SIfA/gHW6Mhk6bdsGXsrqQm+LkYkRISwdkM1f0+IwBFTcbfhBiW81iYloT7O6nCAI9OnThyuuuIIH/vpXrr/+enqOn4AtJQO9LXgSpdoUworsviAI6EWBaVFW3shNZu+w7nzQI5WEzcoEtWnoEERd57YLAJMmTcJolMc8LpeLn376Ca+PhHh9RR6bC+oQAFWNg0dio7BsrOG7WMVK5KyNq/lnjJnbw/VcsXstWZXKhJDZYGDM8hVkHzqEAET95WZEvZ5+/foxbJjyHufl5bFokVzE49MNx/B4lWyEPtEnpiLCTDoacxWFWvqxvZzdt0tQnBwXp/itVZT/zObNj1JRkUp+fn/27JrJN/H9WDRtKhuGDKE+4Nxjx45l+PDhaDSheAzntbu25Sc9glcmuyTRw4GdU5Bq4+Xyc8hWIBmpSbx/+QB6RrbPdjkrOYLJPeIxRviIebWc4htIJlWrJIpVHrzOSFo0LewN3YtD5yAjLhLB46XcqCifpOMtktx/jlS3M2TSGfxmsNUr+aFeTXB5dUmnPGp12jA2RQz2L8/unYAxVMc/7Y24e4ThSQ+h2KpiQWQ8m/r0w9Y/hrYJPMHhRbOzlvjaEmbuUwYyMQ1yINTaEutfZ1DVEZbYilroQv42JZ0iUEl0MkRFTWB/pgWX2ncDzmb4/qYgNlgQBLoOV865b9VyCnZsZfkHilw3OiWdabfcjSiq4NenEJvlQbFXgJK+g9AbgsuzHo+E+Av8f1dVLcHhrAZTBIxTBvHs+YYB3t08elY3/6qDFU1c98mWdilmkiTx3XqFyJmlXodz5F9obQ0gk6wnJpMAYmIVs8aKivntBusPTc+la5yiwrhn3k6KauWO85utxewrawzaVxAEvF4npWUKsZFwGsbbHUEUNWRnKYbqTc17KS75rMN9W1uL0JS/zCUoMxp7hZ6sCn0MUTzx7MnpwKANY2TOX0iNn4lWG3HyA46DWiXy4PRcXprbG71GBElDa/HFSG5fwCAJvF+jo7DiZzZvmcX69WPJy3u6HbHkcjWyY8cV2GyHibItVqrKCWpM8Tdxa9+TpAH4MC1tGudnK8H5WpuGLTYVr+dt5asAxcxl8RFcFN/+8w4JNTMtSpHyPpFfSovPI6O8/Ed+OLKIyuoFhJfehbXiSaJcu9EFPBOVUjgkvYBHJZ+7qrWKyxdfTqVeCUabmvZQV6eY03YEp9fLhyXVDNm4nwcPl1Dp8yRqcHv4obKev+wvZNyOKkqjHsQWchaiNpHHBj/EPQPv5avpX9EzUiFX7ZLAvHot/6zUcaSpjOrq5cqFItLhql+gt5yGImlMvC6czyjHi3zmGc/Q3Hg+sjdzunNOJpXI930z/IRQICanTg5SJz0ktDImXGGXpkRauSAgVe6LA1/Q4m7BqVPakxFhFrDEwGU/Igy+njEhr9PN8DMibjL1q3DWKwFSILw+VahLbSI0gEwiMosL4iIwiALnxoZx3ilUITwDGZIkrZQk6X1Jks4++d5n8GeEzqG8L6WGQDJJQntMwCcYxCq0kBigCGpSmxhkNRHbVsDA64Xd3/i3bySdY/FKOvZ1SWHQUORfDus5HpVGPtbt9bChWEnlTu7Zh8zLrsQydizai16nxZ2Bx6W0G72aDxJvl+MXSRD4Zd1X8PVlsP1TaGpfbOPjpLm8kHK5f7l73gEe+OBVVvQfyv0Z8Ygd9e0Drvb/Oah4CXl941gxIJtltu+YVaW0ox/FncU7CfIgMkmvZVioPJgTdToiLleuWfPe+0HVwWIffAAhQAVyUohiuwq0Z/CfQ2U2ETZXUZ23TToARNxw/X8U950MIVOngO8ZcJeXM734CIv7Z/FxzzRyTMEj9ubVq6l6+WX/smXs2P/o3lQqFbGxscwZPoxnL7+YOXHxzP7mW0at+JXEw0f4ue9IJsZF8qaPQHqveyqzY8Iwq1VIkhSUbmcZPfqk1zOZTEyaNMm/nJeXx9dff83m/Er+uUzJkJjVO55rR6Zz+dAUViT2pVYnxweC00HXn+fD4h9QNShju+TkZGYUHCOqSp700qanY501y7993Lhx5AZ4km3ZsoVVa9by+UZlnHHZ0OSO24Dj0HWGkuqWXbKfH7YHFzyJihyHWh1KeVkGa9eexbp1Azh0cDilJV2pqw/B3YEabMyYMYwcqUzUrygai82lCA3UxQJRq6vIPqC0nXZNE7UBRQvioxNQqVRY9Bo+uWEIOQHXiUTg0fPkmDA6Sf4uVZpUEDREOGv8vsAuAQrVXrxOOaPlQNgBDnU7RIwAZiGfMpMSM2tDjovtnH8ONfcZMukMfjPYGpT0MpVKaXCa1UbQKh13uSqaJlF+YbUqkXGDuzB162HqOunbpVAt7mxloKmqcyJsbaTFrPfbx/SslBsjb4A6I9tUgCQIVOxvxOMzhDNYQkjueeo52JGRY3DpNRzMCGCcj62BlU8HEUpdR4z2/11TXMgPzz+J5NtuDgtn1r0PodUboGwX0oY3lFMlGghLV4iizhARMQadTibKJMlNWZkvcOx7WfBs2cK7uHRAPDeOVmZNNhyp5c5/7cQbkKqz50gxec1KozS7dxfqRUX1odPFYTgJwQUQEz2NthQ8u72EhsZtQdv1GhWvXdjH7+XUaHdz8xfbqW9x8uwSJS1uZu94+iTJKquq6mX+SnKiqCW2A8+m00VY2EBiY5XUrfz853H4KmNJkpeampXs3HkN69aP4Vjh24z2/sgASZFbv1DUyOaGP09+chtm9k7g2xuGkRhuQHKH0Vp6PpKPea12i3xeq0WS5DSvY4Vvs3nLLNatH0Ne3tPU129hx84raWreS4FDZF6tgKlBIfGKhHR2BRrinwT3DLiHbhEK8fBJSw8+li72Lw+ymvh7ZufP1EPp8X7j7RKHi7eKKrHbK3lyw99Y2SwPfAQkepok1ow6i13DunFpADFV4zXgTXoOr0Y2Ure5bNy59mkOCEowc6zwnQ6v7fJKfFZaw5AN+7nvUDFljo7VfPJNCLh1mbSEnktF7JNcXJTOnO15PFeqIyHjHyTFPIjLMg27cShOfQ/ypTT+WWlgV/EPwefRGmHW63D7Ph7K/J5nWmfSgh69RoW7exilJ7qHTmDzeKnqpCra+KTxlEYqXb7+6C6+6JXOmkE5fNkrjXe7p/gD5BZXC5/t/wyPKhS3TmlLhrWZdao0MOUpxLPfZlT4B1wbcwETQ1/EUrWyw2v7PZM0RsJUAUFgZBYzo0PZOaw7r3RNZsBxPllncAb/V/H15mNIAS6/JUYlZkovk1A1CCw9pGVjs4q9uslYmpS+9ZAxNTjFrXAdNMrvlQeBbxOUdndkXSXpzYo/CRoT6sg04rMUJbmtTiGyBs8JUOxYYhDOeY9D38ZSsCyC6n1mpPAcJtco/pMLIwMKCwAgQEI/7KPu57FZK7g3VUlbSy4r5ok3nkPnctEwdjyjwix0iK4zwOybGPQ40ez4hK5HFtBtq1JhTUobzbiL3+ROmrlGsjGvd3qQkiT0/LmIvqpIBEyghEyfjrF//46vewa/O8IuuRhBowlap+vaFfOoUZ0c8dtAHRGBaZiivmlc0D5tG8B+4AAlt94GPgJBHRVF+FVX/qb3kjRtKlqXi9iKCoZu3cyWzBje657KrJgwTOrggZHj0GHcpQppe6rfU8+ePcnIUFI09+/fz5effYTeK6sjE0INPDZLVktfPyodvdHA/DRZWVSQkswPdXW0tioqmKFDh3JO1654VyjEVvQdtyMEkCmiKDJ79mwSEpS4b8WypVjssrWFQaPi/P5K9sKJED9W+ZyxLXXMm78haEwjijrM5hnk5Q3E42k/mQaAJBHqctGjRw/mzp3LqIDvzuOVWLSvmW8OywpKt1eF9gcDgiTQc9dqwvVKqplbqxQzycpRvlOrSct7E7oyGjXZiDyXGE1YhDzWTesmK5IE0YzWcgFE5BDmVUi0apWE1xnpXy5sLKSurARTyGYcauXzWEKPqyDp+nOMS/4QMkkQhPcFQXhLEIRhJ9/7DP5XEKhM0qiVwKhGDAlSJoHyAg3pFcONBSXUuAKqEpW3MrOmkssWzOOGeZ9w38J5vJxawmC94rlT4w3hRd3FfBM3iyptJJLNyGBbKx67MhuXFl2MIKjI36gY1WUPHYGqk3zljqDRhGG19qciSktFZEADtfIpeH+S7FMAhMXGE5eZ7d/sdvrKeur0zLr3YSxWK2x4Az6ajuBLsWrRixxLshAdrRi/dQZRVBMfpxhTlpZ8KVcsEEWY9jz+77T6EGx4nbsnZTOnr9KAL9hVxpMLFSXSt4sU/5j+qjySJt9CfUOADP4kKW5t0OmiCQtT/Kcqytt3yGlRZp6co/gn7SyqZ8ara6hqkr8jnVrknslKmdjSki/9f0dHTUWjCT2lezkZMjPuQ62Wg0uPp5lDhx6lsPA91m8Yz46dV1Jds5w2d2sBuFb4gDi1PKD3SHD93gLqXR0P1P9I5MaHMP/m4YzIjMRjy8ZZPc6/bXermpcqdexuVdHW79rtRRwrfJut286nsXE79W6B96t1uBHQ2dahdSqzRo/mlZxyaphWpeX50c8Tog3BowqnJuJWvIL8rkWKLbzTLQXtCSrFpBh0XNVF6UxfOVbJbctv4NdGhbTNCcvk3YnvYtVZsWrUPJ3VhbtTFDVivUeNPeEJRINMarklN28WFrChWQ7IamtXB5mTu70SX5XVMmzDPu48WBRkvhkIvSgwMVRE9NS121bmcLGuvpkFVQ18XFrLVl029WFzaYq8gYboe6iPe5yy2Od4pqACl7v9LNLGGj2fblPS2UaOS2Z5Q3P7m5A84FXa2AyjjtFhFqZGhvgr4gG8XljZ/lggTB+GNl0xS68/tNd3Hj2jw0NQBcwOfpf3HXWOeprDrwLfbxiuUdHTfFx6cM9z8eSeh0qQ34surKWl0cnx8PjIJI3ehVYMMOKMyECvEglRn4ZK4AwQBKGrIAhH/uj7OIN/H4kN27F5FDK8US+rQsOdEhG+sUpZucgXdTo+PbqeZo/yXu+xZDJEG0D071JS3NYZQ9iUNty/fE2YUS7S0YboHBBFErspfXIbuuR2p0vX4PRbfa9e6HJyaa3SUbUrhMqGGUwZe41/++qw/jSHJEOPc2H223B3HjvnLmCicSav14n+Cb9wh52nX3mKkBYbhxJTuHbEgM7VHSoN9A+oILv+dTmNrg2RWQjnfkQXk4l+uBiDgyRDcKqPymwi7KILg9YJRiPRd9/V8TXP4A+BJjqakLNmBK2LvO66/6oqqQ3WgCprjYt/xusInjxzVVRQdN31eFvkflswGkl860000dG/6X3osjLRJif7l93Ll3W6b/Ovv/r/1vfogToq6pSuIQgCZ599NukB6XkWr43pun3Eik28NLc3IXqZ1AszablmZBo/pQ5me89ebBw8GK8vdlOpVMyZM4cJEyZQ/eKL/nMZ+vTBfJzJOIBGo+GCCy4gNKD68EjNUSKFZs7ulxDklXsiaGKiEVKV+CXywA6WBPitAhzYn4AktcUSXswWG7169WBAYSFjly5jzjffcmlOV84++2xycnKCjt1WWEeNzcnK4uE8sfFuPsv/O0Xl8sSkAEyNDkEQ2sevmdnB6Y7xIxL55/BMPuuaxLDzlInM9JxkPKL8fImqSHSq/kR7lLjHKxBEJtk9djY79yIExEsmVwsGvZpWMWAs+v+5Muly4GpglSAIiwVBGPgH3ccZ/IZoDiCTDGJA2UPRiqRtP1jQakV+tko42ka5XgnN7lqmOtU8+Ot8Lv/pG85btpC56hbOXn0LH0tPcJPqezQoA74yfRxfxp/D0vDRXFOoQRWgTEqxFiK6kykKqO7Wdfjo0/5cUZHjQRA4mGnGEZg+UrwJ3hoJSx4Ep42ux6fPCQLTbr2bGFc+vD4EFt8nVzfx4WCGGWvksFNOc4qPP4+2V7bVXkhtW8pOfB/oHzBTsvJphMYSnj67JyMylcbp3TVHeXf1Edy1x5hfrAwKZ3c1gSmS+nrF5PNUySSA2JiAVLfKn/B62w/IZ/ZOYO6ARP9yUa0yw3HtyDQSQn0Gzq1F1NYps57x8afoa3AK0GojSU+/279cWbWIw3lP0tp6LGg/gyGFzMwHmTx8Ke/0zKXNBqbE4eLOg0V/yopToUYtH14xkBtHp+OsHou7WTFuLHCqeK9axzOVoWxoVuEOuH2nF96t1tHomyHRCCoukJTOaUODjSU1SiriyZBgTuDRYf+gMfJWJJVM3AmSi5vcj+GpXXDS429PiSVcI7cVLV4viz2KBDkrJI73Jn+IVaeoFAVB4M7UWJ7O6uKnqG1egfro+9BYlLmKefV6SpzyHgXH3mF3UwuP5ZXSe90ebj1QSOFJVEB2r8Sh8kWEl9xCaNmDhDV8TZaqglMNd72aGPaE/Y2/bApOr3S4Pdz/3W7/ckpKKIs5jozxthBa/giRRZej8aW6yKWKu/Jl73Te75HGIxlKu/ddZR1F9vaEDkBmr9H+v3VFVbg7qHDn8rr4cO+H2E0jcRp6+9ffnxYfVMmyDeoeyvufpN1ObVH7VLc2ZZJZH2D8aYgGQ2iH93kGJ4UWSD7pXmfwp0X80aU4JEWZ0+QzXs1uUvvbFb2vWWp1t1JhyCDOoRBKO0oL5D/cDtj3vX/9wlBlMiGjqIAx/XtDZQCZFCUrkhK7KSm5bRhydnuVtCAIQalIDT/8wEBLGKE+Atghall+8So4+11cPc7j2UoXU7ce4lCLMghKN+i4/51/ElMntw1lo8fSN+QkKsR+l0NbanlLNXh88aUhHC786pTajvBLLkHQKzP5kTdcjyYm5gRHnMEfgYirrkLw+f7ocnKwTJzwu1zXMnYsgkGOPb1NTTSvVJS1nmYbRdddj7vCR1iIIl1efAF9QNrWbwVBELAEpKHVvPU2Ne++i6epqd2+gWSSefTpqbcMBgMXXnghMRkKkWwQ3EzWHUKoORq07yWDujDYWsmhXIV00blcXHrJJfTs2ZOmX37BvnOXf1v03Xd1SgCazWYuuugiVBp5/KQWvIzW5nNhv9Orihg2UiHJ+1Yd5o2V+f54/MiRIxw+rKTQZ+ds5JprLmb6oCGkrVtPVHU1Grcb88jjlZQyluxV/Fzjo/pw/pCRHLEqcZXq4GFGjRoZdIxKFImNjQ1aJ4gCodPTiLysG5ooZZxlNpsRjMoYWesMJ8pz3Pfl1WGwK2PlX5MLkVyKIiraXodBFJjU9x0GDvyCLy5cD5HBJu1/FP4oMulR4HFgPjAQWH/i3c/gzw5JkmgJIJMsAWRSrdp6nDJJhi3ZrKS/OT1oN1eT4RR5fk43WtYrj4TZ9Su47WgFD3dbl7P0xj5MyA0ICASBPSHduEz1LE6vko6WHFJEw5Eov8TZGhNLXGYwG30qiIyUgzOXRmRTLxPu7IkBH9wD616B1waRHelADMirHz3nLNL3PwOfnws1Sl6yWyWyP9NMbbiWmBjFlPJk0OvjiYhQOo+g6lTjHpLL1gK4WmDxfWiay3hjajjdohUC7PGf9vPge99TjTwg1+Jm+oxzcbubaG5WAs5Q66nLwKOiJiEI8jVcrtpOfWkentGN7JhgWXuURcf1oxRmP9B422hMOy1S61SQEH9+kGm4ApHIyPH07vUhQwb/QlLiFWg0IfS3mrg3VenwfqpqCCrJ/meCShS4Z3IOb1zUH6HqoiBCCaDc6eTLOh1/r4hirTOFFq/A57Vail3Ku/nA4AeYpI2ml6SQEfccLCIvYGBwIkiSxA+2ZNw6ZQbJXPsBG2qPsffAg0EV/zpCiFoVpDSym0bg0iSTbjTy/tR/EaLtuBL6ZQmRsvLJF8w4JKgIux5VqByguSWJt+qT+Jd0LpdVjmfClkO8XlRJtatjI3aAWK2GngFV5grVfQERjesYf9F+y88DurJrWDc+6pHKC9mJPJAWxw2JUYyUHPSRnPQLMZJq0ILPOBdRy/eOAfxlzz5cPgL97ZVHyK/yyZRV0NDNijOArNTiIbTyOTTOfCQxBJc+lzC1ikcz4oPudUZUKIk+otsjwTtFHRt3DxyspHqGtEhsPrC83T4LjyykxO7CFqakyowJt3BRXCd+RmmjcCEHTRrRgXvfL+128dpakBCw6JRyuFL4mapInUEQhL+d6B9w3R99j2fwn+FY7M3+v72CkxZfdaDsZqXNMTolEl0uBEnCaRpMjyYljvil3jchc3iJf5LKKar5Juky/z4X5e9DbTEHk0nRMpkUl5GFOsC4Nz6ra4cEE4B1+jREk0z+eJubaVm0kPERSlu8uLqB/c2tTN16iOcLKgjI3uPaLlHcbKum316liurYuYrKulNYYqHrWcHrRA3M/QzC0zo+5jiow8OJe/QRVGFhWCZNIvyyy05+0Bn87tClpZH0wQdE3XEHSe+/h3ACBfNvCdFkwjJOIV8b58sTXpLbTcntt+M4oGRDxDz4wH819S5kskImeerqqHzuefLGjKXy+edxVcoksru2ltYdO/z7nW5FOYCKJidv5JlZ40rB02ZGK3mZP38+ixYtwuPx0NzczLwvPiVBUmLdkIYGxi/+mfAjR5DcbqpeUFRJ5nHjMPY9cZEcrTmUtd4svL5rmgUnBzavOq17NwUYeveqymNfQRXrj9Tg8XhYvHixf1tUlJapU57BGtKL5lWrlXtISQlSgLVBkqQgldOkbjFM7BZDdYySgle5YzfDhw/Hag3wRIpqRjyNZzUkOjj9LtoTfKzK68ZqU87v0Hlxu5W4K9pRh1ElcMiUQqEhnlp95J/Gy+0PuQtJkh5t+1uQqcxTN7E5gz8lHC1u3C4lHcWqUhqhWm1okGcSyIbcniQ5OBGaXWi21WD2wJs3DkZzYK9/JltQixj1AWr+2W+RnJTMO5cms/JQFfd+uo5yp/wYtwawvFGGasyaFo7sUwaLXYeP+beks0ZjMiZTJjbbYZw6FaXDJpPU/1r46U6o96laGoowzr+SSb0nsL0qlpwYN3333QsEDlYFWrtNZLNlMy6tiChqiY6a1NElO0V01GRqauQc5ZqaVUiSJH8mQxhMeEyRgu+fD/vnYwY+kKzMER6lWJKluV/WKIO4sQlerFYr1TW/0pbipVaHYjKd+kBPowkhMnI0VVVLACivmB9EerXBoFXx2kV9mPHKWlp9g/i7J2Zj0sm/n9cb4AWFrMT6raXOgqAiJ+dxtm67EI+nGY0mnPj480mIv6BTj6ibk6JZU9fEqjo59ehveSUMtJroGkA0/JkwpUccGdETuPXLKA4c3YM2YhVqy14EX/WJBpeNrytsfCtY8EiKMuWirhdxTtY5LC9ezgW0shstXqDC6WbO9jzm9c4gy6Tv5Koy3i2u5utyRX2ib1qC3raabaixV3pQ77yB4YN+QK3u2CvDK3k5ePhhVM6peLRdQBDxRFzM24N6Y9WFnvDa06NDCdWouHz3UZo9XjxAecjF6MUuuDVJVOnSyD/B8SIwwGpiXEQI4yJCyDXpKXO4GLB+Lx4EvOoonIZ+jFetY1zGBRgMSRiASZHWoPMsL5QJs7H9ZMHtp/u/456SSLwq+TN/XeWkaEceD8ZF8cqKPP9xcaO6cNSt/B5qJEIqn0NwygNIu3EQCCoezUwgShssDVeLAtcnRvGAb2bu07Iabk+JIUwT3MVb41IoMKjRtcrX2bzpO4bkKuS4V/Ly3p4PaIq4GkmUn2+rWsULOYmdv4tqHXUhw4hulEkkXeFi4NKgXbw2G261kTC1UkFOiPpzzKj9SfEIUAbHy9T86MQU4gz+V2CvVeKlJn2NP1M9syUMqAdB4m5DFYnFLkrUej5iEa2iQv6s9Fqxe7zoA1LcloVm0+hrJyPq65jZVtSg8rg0N0Cl1pDWdyCH1suDrSHnXtjpOy6aTFhnzqTu888BqPvyS6a8OZF5FXJbv7CqngWV9UFEeKJeyz9zEukTYuL1l1+kt299WW53xqannNqXNPBa2PutsnzWy5A8tPP9O4B15kysM2ee1jFn8PvD2LcPxr6//1DQetYMGhfIJFLzr7/iaWyk8oUXsK1WSIjwK68k/MILOzvFbwJ9bi6RN95IzbvvIjnlZt/b3EzNO+9S++FHWGfNQh0T458cV0dHo+va9USnbAePV+L2r3bQaHfTSBROlYlppqO0+tL4Nm7cSEVFBXV1dTQ0KFkUurpmxi1fhtbloub993FXVeMsKJA3iiLRt9920ms/tegAB2wGtKp4+mrkOGXXrl1kZZ16HGDs3x9Bp0NyODC57Uw/uo43fo1D1R0qKxXV5qxZl2H1qYqaVymElfk4ZVEbDlY0caxGUeSPz41BoxLJHdEP1sttnqGoAMnjZcqUfsybtwpJEklI2Nnh+TpDXFooh48oE7PHK5M0kosQm4byCEWY4fKE+/uGCGc9zoDCAS2ezidDf2/84QbckoxtJ9/zDP7MsDe7UGnkJ94tuAiTlIaoQR8CKgFJqzxu7vQQUIuINXa0G6sQWz08c05PsmMtQUyyMbIFUe0LUIbdCpmKo/+orCjemxzO8Jq1aL3Buc4p1mO01uhoLFfMyf6dFLc2REUq162qXgqZE+CmjTDiLnm2zIfcll+4yPQF/Zq/RggkklJGwPWrOdItEZfve4iIGN3poLozhEcoMk+7vZjW1gJlY68LIbF9KdVooYGPNE8TRnvJ7Owx8v719Vv860JD+3eYG3wixASkulVVLcHj6VjJkhFt4Z1L+9MvOYzrRqVxTj/F46qm5lccTnl2QBA0xMXOOa17OFVYLN0YNHAhfft+yfBha8hIv+uEZuOiIPBq12QifQNzh1fi2r0F2P5EDfnxyIyx8NMtw/nysvOZEn0vrmN34awbiORVyIVAIik7pB8397rdv5yEh+eyE/3pFpVON2fvyOOArfMypGvqmngkX5EZDwwxMD6ACN5nV/FiUTlb9tzZYaqgV/Ly4Mpb+KlwNeb6z/3rm7Q57HSfmhx6eJiF7/pk+H8rALt5dJBSqg2BT/jtyTHsG96dH/pmcktyDN3MBgRBwCzaMTt2+Pdzh0xiVriG1JSb2p2vM5yXPoprnX9F7Szwr9vQYOPs3Uexm+TAQJ9l5agmwEwSiKj5J4Jd9mTzCkZaQyYzKszCuTFhdIQL4iKUFEGPXJXueAiCgJSsPOslezfh9Ch8xYqiFezzpODSK74pj2cmEKc7MXfhSFRI8fCm1eAJTp/z2my4NCbCAiq5iTHZnEGnKARukyQptaN/wLQ/+gbP4D9DTJIFj28Cp06vTL5lOGXVoSHCSaLPsy/Bbef+gnd5+MgbvL/nAYbXbaUVNRsrSuGQolD+IqDPnLXyZ0KHDIbWOmhWUjiIVtJ0xl15PUPPu4iz7nqAlJMUJgm7QEl1c+zbz+DSAvS+tFe7Vwoiki6Jj2DFgGyGhVl471g5gzat9W9LnXUaxE7SYBh+B4SlwJRnofd/d0B/Bv//wTR0KKpwWf0huVwU3XAj9V9+5d9umTiR6Lvu/F3uJeqWv5CxbCkR116LaFHGBpLLRf3XX1P96qv+debRo097svWd1UfYeFTJGrll5hCuv+464uKU+KqgoCCISApNymFVaypaXxGj1i1bqXz2Wf9265zZ6DJOPPm88UgNX2ySvTh3e+JQhyg+TwsWLMBxnFdVZxCNRkLPP8+/PPfgMvbsO8rS5YrCunfv3n7Db6/TiS0gy8U0omMyacleRZXUq4uVOKs8kTZtxjA8vrGQxutm1fKtpKYNYNDgeQwaPA+TOQ+ns32c1RkyeiQGLVskAX1AKKySPITYgicKHZKiTAp3N2IIUCK1etrH0X8U/nAy6Qz+b6DiyFbqml/g/QH38XWvpwmXlFm3Sp38MrjTLUgqAU+MHk+CEVWRDc3WGgS3xHUj05jeUw6imtconjmmOF8jk9Afxj7U7rpJ2V3p07iLS4q+ILdJnn0TBQ8jEjZQl6fIsGPTMwmPP3l1ss4QGaXkcNfXb8HprAWNQU4vu2EtJA/v+MDQZDjvE7hsPp6oDKqqlBSQmJgZHR9zAuh1sZhNyiCspiagepIowlmvgjWwwRJArSfd2MJ7Ie+iD5joDtWLjMmJ9X2mQPPt0690EhkxBpVKTjH0eGw+M+uOMTwzkm9uGMpfp3RFDPBgKS1VOvCoqAmn7CX178BgSCAsdABiwEzviRCt0/BKV0XyerjFwd8C8rP/jBAEgYGp4bx4fm823DWXe/o/SFT9YziqxyB5FIWR1xHJls3T6P/4cq75eAurS9w0OCQujI+QFSm+/aqcbs7ens/+5vaEUmGrg2v3FvjTGxJ0Gt7rkcbr415mQrLy7hxxqHh031r25L8adLxX8vLAyluZf0x+nrX23VgdyqzPF2W1nCp6WIzM75tJsr49AaJyFmKp/4oprk9pa6EsKpGbk6MJPU7F4/A4eGTdIwh13/vXteiyccbdgVYbyalCqw1nRmwSYxsfRmdT2jaHRsA5MApnVgj1qeagY2Lr3sJrk+dYJEFLQ9Qd6LQxPJPdpdMA0qgSuTJBCdLeLa6m1eNtt19ETi/l74pW1pXKaamSJPHKnm9oDlV8U6ZEWjmnE/IqEJruU/BI8venoxGpMDjVVSaTjISqlUpuZ5RJJ8QO8Is5OoIEp2zZdQZ/QvQck8i/EhwsSFjC2hRZkdvF7SFUI/d7+tD2fmZqvEytWcO8XXewZvMlhC26ze8l1Ky1sDxiNAA6p4OZW9Zh6NkTKpVUHXRWsCgDR2OIlSFnX0DmgCGcDLrMTAz9lcqxji+/YlR48GRYrFbD5z3TeDY7EbNaRb3Lza/LVhLZUA+AV6UiccZp8KCCAOMfhlt3wqBrT/24MziDU4SgVhMyRSmC07pV8Q419OpF/DNP/y5pd7U2J/O2FvPqzjpcV15PxorlRN9zj6xG6gDm0aNP6/wVjXZeWqqkyU7vGcfZfROwWq1cccUVdOvWrd0xkyZN4qZLz8WR1Y294Sn+9d5mWaUv6HRE3Xxzu+MCYXd5+Ou3ii9kdmwI1146F61Wjs/sdjsHDx48ZS/SyOuv96fchrhaOMu+HZePjNJqtYwLSFts2bwZyVeBTjAYMA7oeGyzZJ9Ctk/sptgsxERZqY9SLAU2Lt2AThuJTheKSiW3zyezbghEckY8XlEZgwkIxAbEnYIgBKW5AbRKSqwZ5m7CpFLIplZv+/juj8LvRiYJgnCuIAhfC4LwhiAIvY7bFnmmMsn/NqKSU7EbJJzqVhoMVYQHqDbKdfIAx5NkxjEuDnfPMLSHGlDvq0eQYGh6BHdPkgkSV2Uljv2KJNsc55ADoHPelyt8HAdLRCTm8AiM3lbGVf/KpxMFnh7xKLnhB6nLU9JP/hNVEkCIpQdabVsFB68/1Uz+8Nlw+QKY9YbiW6Q1w/hH4KZNkHsWCALV1cvweGSllEplJjLi9POdAcIjFHa9pnZ18MaoLLhtN/y1BB6qhofr4MEKuK+Qvvcv5ZVLh6LxOUpfNSIDrVrE43HQ2KgY6YVaT9+nSKXSExVAuFWU/3hax9vtZb5UOxm/pfH2b4UxESHcmKhU8fisrJZvyk+d5PgjEWbSctXwVJbfNp1P5zzCGOPLuCpn4ageQ8ux68BrxO7y8su+Cj7Y6+KOlXbmvL6WuoN1PJ4a5x+11rhkhdLeAEKpxePlyj0F1PpSF/WiwPs9UonSatCqtDwz8hlmZ8zy71/sErlt45scKJNn1L2Sl/tX3c6CY7/690nTSTyWqaiJfqlppPY0KumlGnXM75vJpMgQepgNXBNvJrn6ScLLH0DfuIAVkjJ4Oic2HJMqOA13f81+5i6Yyy/HfkHjPILaZ3wNsMDd8ezWiRAVOZ5zQptJqHsDU+0nstcagCjgTQ0ekMU3zcPVJJNOEioaI2/Brc/mrtQ4kg0nJj+v7BKJwRf41rjcfNXB82nKVEichGpYdHQRABvKNrNFGAU+gjVExQnJq0CEpcRS7FT8Vlw7fvD/LUkSXpsNr06HJSD9+c9iHPknxfPAmhNszwP+vQ7kDP40CNULeM2HadLL72l3SesfKOnClKIAe0wZlOiCqzaltxbTs0iZnPoxcjhun2H1pPWriOuWK5dcr9ynHBSdIxM0/ybC5ipEc+OiRVwRqqR6nxMTxq8Dsxkb4KU0r6KOwRuVx1g/ZAjqsJOT02dwBr8nrDPae5dqEhPp8vpriPoTp/b/JzhabePtVfmc9+Z6+j/+C3d9vZN/Lj3M7NfWUulREXHlFWT8soS4J55Am6bEQ6rQUExDBp/WtZ5fctBvLxFu0vLErB7+vl2r1XLOOecwduxYVCoVRqORCy64gCFDhqBRq7hjYhbfZIxud87wSy9Bc5wB9fF4bUUeR6rlcY8owNNn9yQ6MoIpAQRefX09JSWnNjmrDg8n/Cq54FC91YoQqfw+o0aNwhKg6LIFZLmYBg9G1LWPn4rrWthTohSZmdQtmLwL6aYoOd0HD5FX2YTZrEzoN9sOcapQqVRoQoIzGmIsyj0Jag3WZmWcK0kiLaLSnlq8zRjVAWRSB5OFfxR+FzJJEIQLgS8BI9AT2CgIQqCpgoozlUn+pxEe34WMGYr3RrgnUJmkKEwu/ekb3nj6QQz5tQhAvFXPKxf0Qa2SH0XbGkUOrTG60VrcMPMVCOv88YgPMNW2Hd1GuL4eW5kRl++lFESR7KGnPwAMhCCIREUqjHdV9dLjd5Al2Ldsh4vmwa27YPjtoFEauvIKhWCJjpqISvXvee5EhCvVCOrqNuDxHCcRFQTQmWXy7bjAcUJuDMvvHM2/rhvCTWNkaWpj0y4kn+GyKBqwWNrPUJwKAqu6VdesxOVqOMHewSgrmwc+rYhen0h42On5IvxeuC8tlj4WpULDTfsLue9QMc3uP2/KWyDa1EqvzB3Cxpv+xtNj72Fqbham4z3NgG2F9Tyz+CAvfrCDOYLe31nUujycsz2P3U0tSJLEnQcK2RNALj2bnUivgO9ILap5dOhjXJStyJMr3SLXLr+bA5VbeGDVnfxUoCjZ0nVeXh79NGenDifKV/LeJUn8WFl/Wp81Wqfhox5p/DIgm79nZ/D80Fvkc2mSsWsV0/dL45X2ye1189bOt7jwpwvJq1f8jNJaF/r/XlDdRJmjMyubjhEVNR6TCuaGOzE2L8Fa+RSCp/37EeXYiKuujYgRaIq4DqehF8l6Ldd0ObkaKlyj5sIAo+w3CivxHDfjFxiUdqmR+LXoV1rdrTy4bzNuvRIkPZ+T0s6bqTPoDGpKRMUcUzy80O/tILW2gteLJkS5DzdaCOnS7jxnIEOSpNWSJC06wXabJEkrO9t+Bv8bsOoEnHrF66O7NtRfXUofqpBJ7yXMYeCgL/nHwBdwGCLwdiBK+yJaUfycvWIRxrbBZlWAMin69DxWjodl4gQlJcjhoMeyn1k3qCsrB+bwam5yO3Xn8vIaRm7b6F+O7GDQfgZn8EdD36sXmiRFeS5arSS+9RbqiN9WHe/1SmwrrOPpxQcY/8JKxjz3K08uPMCmglq8Ad10ZZODqz7cgs3hRtBqCT17DmkL5tPl9dcIv/JKEt95G9Fw6uOHvaUNfL1VUQXfPj4TqzG4bxcEgZEjR3LPPfdwxx13kJ2txAJTu8fR2GcwxSYlBhGtViKuueaE1z1Q3sgbvypOlVcMS6VXYiggp6Pl5Chjt6NHj1JRUXH8KTpExGWXIUZEsL1vH/8Yx6s1M2hQsM3Hqfgl/RJgvJ0WaSI9KlglHt9fmSRLbyjlk/XHgrJDbM2nTiYBhMYF/26REUqs7BbUhLRoSCmV16UdTUDypdkJkhejZMekVhT3Lf8fKpPuAO6VJGmaJEnDkCuRvCUIwiW/0/XP4HeAId0nB5QkLAEPea1GUQidu2wh2YVHibQ3olWLvHlJPyLMCjPb/JOS6mSKdyAMuApyT5xjH5epvNgVeXLDVXtYYXOTe/bBFPqfz4ZFRim+STWdkSV6q+ynZAruhFyuuqCUtJjYf98QMjS0P6LPHNfrtVPfsPkkRwQjMdzIwNRwf4pZQ0CKm9XaG1E8tQHk8QgLG4pG4ws0JWdwtbkTQJK8lJZ97V+Ojz/3tD2bfi9oRZE3uyVjUSn392FJNaM2HeDX2sYTHPnng9WoYXafLrx2UV+2/W0CH105kEsGJxOmCx6oNDvc/LQ4n+j8Zn+HUef2cO6OfP56uITvAkiea7tEcW5s+6pfgiBw76AHuabrOf51dW6JuYuuYEGBQsym6zy8OOJRkmOnoRYF5kQr7+3X/6EKbHjCcK7qfhV281j/ujhvPtm+oOpow1EuXXQpr+54FXeAn1S8uwsjmhyESfLndEvwfvGp58kDGAxJcgDSkomrvi9axwFCy/8GAdexeIqRKpT0v6awS3GYZAXVvWlxaDuQ2ns8dvYfeIC9++7E7pCl2tclRuETH3LM7mRBVX3QMboAMimyAdytNp7Y9gl7RUWROMLiYUZ06Gl9xqbocUi+Si3qllIok9MU24op6EIUAq5ZTJDTcs/gDP4/hlUn0aBT+o1upi6IBiMIEjqrQibtNWfgEdTE9ZqJrsfZXJH7d/6ZdDFVGrl93BnRl80hss/ZkF1bSaoowzTENyETaL4d9Z+RSaJWS+jZZ/uX67/8ilSDluwOCjM021oY+PpLhLTI77+k02EeN77dfmdwBn80BEEg6i9yupYYEkKXV15Gl5b6m16jocXF+W+vZ87r63jj13zyKpvb7RNpVoiCfWWN3PrlDjw+lkkQRSxjxxJzz90YevQ45etKksQTP+1vm9shI9rMBQOTOt1fp9OhVgeTwqIocNfUrnzaVfFGPDLzEgRz556vHq/Evd/sxu27/4RQA3dMUNTIgiAwY8YMzGaz/z6//fZb3O6TK9BFk4mGyy6lMiAFcE+1kWqbcqyzsBDn0aP+ZfOIEXSEQL+kid1i2ymxDQEm52kNJXyztRi0yudotp16mhtAl0xlbCiJHkLClLbT7hXxIDJ6RxQXL04ktUD5nSJbG3CJaoxqZbz8/50yCcgC/CUZJEn6CJgLvC0IwinUCD2D/wVUtcrlqM2SFFQmMJBMMjhkY+Y3lj3HJ/lfkbxtFR5f/q1Ucwzb5h3+fc05MTDpyZNeNy5AmVRbVIPHJVB/RCGT/tMUtzaEhw3xkyVer4Oy8m9PcoSCispFSL6Bo1YbRXjYyT0KOoMo6oKOr605vfKaxyPIL+nfSHFT7ktNTIwyO1peMf+UjqutXYPdLktcBUFFfNw5Jznij0WyQce3fTLICQigSxwu5u48wu0HCmk4jXSsPwt0ahWjsqL4+6zuPDdSx8ODddwyLhOrQSEW6/MaUO2o8StO6t2eIJPn4aFm/pYe3+7cbRAEgVsGPswNWYrCL1DPlaHz8MKw+0lNUH7/c2MVMmlrYwtHWk7NqLEzXN7jBlxmRUHTWreUTUc+4LP9n3He/PPYXa3k9mu9elqOXc3Bwzfz2b6LaTqoBBlvH6vks82FHCxvwn2KHbo5bCKf7Dsfe8UMvK4QJHUkCL6WUvKiLXvKrzeIjL0Qu0UeeHU3G5jVCbFTUPAapaVfUl7+Pdu3X4LTWUuSQcfMABLutcLKID8CTZcuCD6/AhGIrRX5sDYCBK3vczfzZs+OS4SfCJYuiZS5Aky1D8gVctrIJIMpIDVS13kwewZn8P8DNtY3s1tXj0sltx+iJJEblo1oNKK1uPFlrOFGxUFTCiIwLcoKsT3p3XyQp1Kvoe/gr5kz7AumdHvOP0N/7rKFqCIi0GVlyicIquT2n5FJAKHnn++/lrOggJYNG9rt4yotJe+ii5m07lf/upCJE1GZTf/x9c/gDP4bsM6YQcbKX8n4ZQmmgQN/8/M/tXg/mwvq2q3PibXwl7EZ/HjzMDY/MJ6rhysk1tL9FTy9+EC7Y04Hyw9Usi5fSS+/f2qOPxPkdDA6K4qW4WO5a8RN3DP8Bm5oTGHu2xvIq2xf2Afg4/UF7Cyq9y8/Mbu7v3JzG0wmEzMDKi1WVFSwPMBMuzO4XC7W2pTiSnGlpUzdvoL31yrkUWAhJ21GOpqE9p65dTYnmwqUScqJx6W4AegC1FOhThuaxjpWHlXOZbMdRpJOndQZODYXlVEeIyT3s6DTKFkBElCnCQVA7RVp1Cjj2JiW2v/H3nmHx1Fdffi9W6XdVZes6t57w8YYGzC992ZIKAESSEJISEgjBdLLFwg1JKEkkIQk9NB7b8bG2Ma9d9mS1dtqy/3+mNXOrLSSVVbSyjrv8+yzOzN37twdaWfOnHvO79BoT8FnyXYZjM6kJiAmNERr/QxwJfB34Mx4OwkDi/IG48Ey06KXpJWi2mF4nlP9jdgjDzVOHSJ9+cfs+e732Dj/SHZd/w3Kf3gZ4ebI45RN47n+rzFpYu0xZNRobBGF+1AgzP7Pcgk3Gz9Qh9vNmDldyy1uD5vNTVGh6fvcvfufnRaNKy19Ovo5P/90lLK337gTZOeYXvYDFd13JmkdoqraLKbYHfFtK9ZUt8rKD6moeL+D1ga7LcLbOTmLcLvjCw4mE1PTPLxy2Di+PSIfh2Ui49G9FRy1ZB0vl3c+xS/ZUEoxPN3GjSeM463vHMMV80dgj0Sx2fc14fysgpiYbKAkxcmfJ4/AYWubftGa6+bdztdGTsaG2cdYd4jfzvsmo4Z+IabtZF9qjNOup9FJ/yurJaSMmR0VrsfR8DHXfXAnv1nyG5osFQhd9RM4sPH7hBrMKiX23fUQNG7efgXf+3gzJ/3xHabe8grff2Il+2vjVzBs4cm1sylrzIVwKs2lZ9PkMUOynU2rsYWN/5ljR13MWufJ0W03jyrEFkfnROtwjEO7oWELK1ZcRTBYz1eHmvoqK2sbea/SnAVVdjuuESMAqEtJpSb7fIJuM+3v+sIQOZ1Mb7OSXexla5MlzHyt4UwKRYw+j9ccg9+T2FlfQRhobG30s9O5N7o8KhDAkzkCmyc1JsVtk2cYfpubIzJ9Rtpp4TROOGBUKArYnHzgKCIcsSfG7NzGjA1r8M6bZ8yw15VBgyWKMgHOJFdJMd6jLKn2j/47Znv9hx+y9bzzca8znVh7x02g4Ic/6PGxBaG3CIbCbFdeahzdk5/oiKXbKnh0yc7o8qxhmfz49Em8+91FvPTNo/j2ieOZVpKJUoofnDqR4yea2px/eWcL/45UQusqgVCYX71g/g4XjMll0fghHezRPkopbj1zCjuKx7Iq17AXlmyr4JQ73uW2V9bTFDCf+3ZVNvD7l82InXNmFnNMO8cdO3YsRUXmJOQHH3zAVktEUTzef//9aMU5FQ4zY/lnHLn3cz557m2qG4xrZ907ZiaI76ij4/bz+rr90civIWluZpRktmnjyM7GMcQc++jq3fxneSAa6RUKNdDYuLPNfu3hSnHy5d8fz2W/OoIzrppHQ3Ps5HO5pfBQtaXad2F9BQ32FLyWyKTBmOb2OdCm3JXW+t/ADcC9fTQOoRfZ32jk/mdZvKXNTk/U0EnX9djHQoM3PWY/3dxM7auvUv62qR3gmTAC+/AZnTqu0+VmyAjz4WT/CjPNZuycI3ClJO7mUFy8mJYiOg0NW6ms/KDjHYDGxl1UV5sVIgryu5/i1kJOtpn/W1+/kaamvR20bp+6unWEQpHKDMpBRkbH5YEPRnr6TLzeyIwoms9XfzOafhMPf3M55Rb9qeIkFN5uD5fNxk0jC3nlsPFM85n/Y/uag1y+aivXrd7GgeaBF6VkJcvr4pYzJ/PyNxdyzHjDQWHfH+tQcmi4a8xQclyOjrqKopTi6vkPcH1JDqPdIRb6AvzqsGsYN6JttR6lVEza3OP7Kgl30oHbGq01j+wxZ+hS6t9D6QBBS3duHAR2L+bAjisgbDixhmYGmVjgwxEG++6GaNvQcB8aaAyE+PcnOzn2/97mT29tJhBuO761e2v428fmDN6i3L1giZByNxiz+2eOPovV7vOiM/9HZvo4Jjt+KHll5Uf4W/22ampXsmrVV5nkdbDIsl9LdNKORj9PlFZw29mLuerm33DmH+5n42jTAZzr/5RvT4wfDn4wcop8bPFbnElla+HA5mhkki+lKroplDEeQRjMjEh141Dbo8tT/M2QXoTN48GdZd43VvuMB7czW6IT8yYyuXE7xU1t9UUueO15FOCdH4lcLrNEJXlywJvXZp/ukHXxxdHPta+/TmCfcX058MAD7LjqakKVZgTG00edQMU994nwtpA0BENh1pfW8viyXfz0mc859973mXLLyxx/29sc+ds3eOazxFXqbQ6G+eFTZsTzhII0/vOVI7hqwUiGZnvatLfbFHdcPJOJheZz0o+e/pwPNnUttR7g0SU72Fxm3H+Vgh+eOrFTBTXaY1JROq9+62hOmWKKbgdCmjvf2MQpd7zLB5vK0Vrz46c/p6HZcC5leZz86LSOndgjR44k1aIB9dRTT1FZWUl9fT2NjY00NTXR3NxMMBiksrKS9ywVvyceqCC91rCtFq/4Hw9/sJVwUxMNHy+JtvEdFV8v6ZXVpv10wqT8mOrSVtwTzeikkdV72bS/gW31pv1W38VUN5vdRlq28X3r/LHPCDUWLckah6UiecMBGuweUi1jTKbIpM5Z/z3nYeC4eBu01n9VSqUB1/fRWIReoqzBSHPLtHhL/Snmj8EXbmDcgkb0t1fRsGQJNS++SO0rrxKqbhvF4Tula6lOheMmULrZKHupQ6aPNFEpbi2kpg4lJ+eYaDW3Xbv/SXb2kR3us88ivO3xjCItbUqPx+HxjCA1ZRiNTcaMRUXFuxQVXXiQvdpiTXFLS5uM3d725tYVlFJMmvR/LFt2AeFwM4FABZ9//g1mzfxnXC2m0r1PRNP/3O4CsrPjX/STmUm+VF6YPY4/7dzP/20rxR9xJjy1v4q3K2v5+Zhizs3P6tFNvL8ZMySNv105lzfX7+cXz61hc1k9akkZoUIPtr0NXPVWKZfMHcbVC0dRkHHwaEKHw8sXFz7BMTsfwucdT37+Ge22PS8/i19u3kMY2NnUzJLqeuZl+tpt3x4rahtZZREKP8G5ig8t233NxZRuuxIdMvv+4rzh3HzaRFKcdpoCIV7fcYCrd+xBA9rnhLwUKDMikur8QX770jryUhUXjXeySGuUUoTCmh88uSo6A5abWs64MTv4n4qkfOgg7oalHDv0WGaNvoEH1pmG7I9GF7X7f2ONdrTbPYRChqOrovI9Vq/5Dl8d+nPerDCMrLcqa5n5wRpKmyMRDyMntO4OW7CcH47MxtZNvbKsAg814ULKA8PJdUYektc9R7h5GiiNz22JKsuRSm49RSl1FPCZ1npgibUJQMSZpM0Z+Cn+Zpp9hajU3TGRSat9Y0CHGWnbA+SCw4UaMoHjD3zI34vPjrbLqapk0TLjiuY9IuJM2m9Jkcmb2KNKblZ8Rx2Fo6iQ4J69EApR8fDfCezeQ+1LL0XbNDuc3HbJVbxyxNF8np9YIWNB6CpVDc3c9/YWPtlWweo91TQF4j+INzSHuOHfn7F6Tw3fPWl8t1LCrPz13S1s2NcyYQu/PGcqzoP06XU7eODywzjrnvcpq/UTDGuu/ccynv7akYzK65ztU90Y4I+vbYwuXzh7KJOK0jvYo3MUZKTwpy/M5rU1+/jJM5+zp9qwf7aW13PJ/R8zb1Q2H20x7/U/OWNSjC5uPOx2OxMmTGDFihWEw2Fqamq44447DjoWr9fL8ccdz77XXwdg6oGtvPzY81SqmWi/IYlg83jwzGo7Sd7YHOKdjWXR5RMnt1+VLmX8BOrfNjJARlfvAeCNnQu5aqKReVFXt4G8vBPb3b8japtinUmVXnMc1jS3gvoKdmTn47FUHm4cbJFJWuu/aa3bFdvWWt+mtZa49wFOizMpy5Lm1ug29ZJ8wQZorEQpjXf+fAp//nPGvvcuQ3/+DTJGNGBzRrQDUt2kn34aXcGqm9RCanoGw6f1LNImHiXFl0Y/l5e/1mFUkNY6popbQf6ZCXMqZOeYjpcD3dRNqqpaGv2cmdGzFLcW0tOmMG7sT6PL1dXL2LT5d23aaa3Zvee/0eXCwvOx2frKv51YHDbF9cPzee2w8cxJN3UhKgIhvrZ2B5es3MKOxp7p/SQDi8YP4aVvHsWtZ04mOwDOddXYqgM0NIe4/72tLPzdG3z/iZVsLa8/aF9uVy5jRt9EQUHHv4kCt5OFWWaUzeOlbXUHOsMje8yZvbkZXn51+Nc5Ni1Isd2Jff+p7N389agjKdPj5C9fnM3Pz55CSiSnPcVp57TRQzgp17zBzz12OD8/azKZlsooZY2auz9r5tL7P2ZdaQ3/+Gg7n1m0A7448b8stZkRPPl6F18Yfza/WPgbfr/dNG5Oz8tgZnp8524o1Mj+MvPBbcL4X5I/xKyUtH//8+Ttv53paeZsX9SR1ApvQy2uhiWMqfkLF4zp2nXXisNlJyMvla3+2FS3cH0DTm8Iu824L2itIHdMO70IXeAtYL0UMhmYZNs1zqCZvjLF30yZysPm8cQ4kz73jsEWquSbr13BYxseM1LrC6ZzQkVsVPTZb7+MMxTCOXwYzpa0kf1rzAZD2tpI3UXZ7WRdaE5eVTzwYIwjqXFIPl+/6VZePuJoZqd7Oh21Kgi9Qb0/yAX3fch9b29m2fbKdh1JVv7yzhaueOgTKuu7VrnVyvYD9dz5uunQuWTuMGYP71yEXlFmKvdfdhgpTuMxvaYpyJf+1vnx3PvmJioibT0uO98+MbETOMdPyufVG4/mqgUjsQb0WB1JR43L4+wZbbWK4pGWlsaiRYu6NIbjjjuO7IULcM03J/TP//QZVj3+XHTZe+T8qEaklXc2lkX/D9LcDo4Y1b7DO8USmTSq2pjs+2hXIRVNmUDXRbittHYm7SUtKgDROjKp3iaRScIhTigcorwpoplk8ZY2uDKjn32RmXPqyyG9EADlcOCrexbfvCrCIWhyzcb55Udx5ndNN6dobNu0iQnzj8Jm75k2UTxyco4iJaWEpqZdaB1iz57/MGrUN+O2ratbS329eTPJt2gKJWIcu3f/A4CKyvcJh4NdcsZorWMqwWVmdl98uzVFRRdRXb0squmyc+eDZGTMIn/IKdE2VVUf09i4LbKkKCrsemRVsjHWm8LTs8bw0O5yfrVlLw2Ri/2bFbUcvWQ93xtZwNUleZ3SFkpWnHYbl88fwdkzivnbB9t46IOtVEXy1AMhzb8/2cl/lu7k1CmFXHfMaMblp1HTFKCmMUBNUzDyHqCmMUhNUwB/IEwwHCYQ0gRCYYKhMIGwJhgKEwxrRuV6OWlUOm9XGlE2/yur5Bdji0npwoxhbTAUU3Xui0U5+NJGke+4g2dXNxPW5t9j3qhs/njRzHYjrK4pyeOlciMY5N2qOn42ZzxvTS/ij69t5JGPtkcjkD7YfIBT73g3ZhbyzOkFTMkv5c6QqeP2k8lHcV7B2Ty4q4xtjYbxZ1fwg1GF7X6fsrJXCYUMh53d7iMv70SGDDmZQLCaigpDeHL3nkdYnD+WFbWTY/YdmepiNkFG/PU+pmxeT/GB/dzz+yO47qibcdq7V8mxhZwiH1s+P5w5voiTeNcn6JTduNNMg6k2lIc7veczpAKLgNHA2cAj/TsUoatsrN5ISwkCp9bk+x3s8DvIUo04Uk0bao1vDCpcQyAc4Gcf/oyVZSv5Sf5EFqz4LznNlRxwZeH2N3DGu8bsfDQqKRSAPaYeYiL0kqxknnceZXffA62qL3nnz+fHl13HRm3YIsfnyG9d6D+01nz38ZVsbFU9zW5TjB3iY2pxBtNKMphSnIHP7eD6R5ezrtSwNd7bVM6Z97zHn79wWJejerTW/PiZ1fgjOou5PjffPblrDt3pQzO57cIZfPWfxu9424EGrv3HMh656nBcjvbtn50VDTz0/rbo8rVHj2ZI+sEjxruK1+3gx6dP4uwZxfzgqZV8vtsMkk112vnl2VO6NHl+5JFHsm/fPlavXn1QPdpx48YxY8YMAIq/+x22nPMBSmtG1O4j9NaL5hjbTXEz04QXTRjS4fm0inAX15XjDvrxO9y8uv1oLhr/DHV1Gzrz9eLSOs2tNmSnwe7BEQ7SZDf/ZgX1FdQoD6kWe7JBnEnCoUZFUwXhiKK9VTOpzm164dMiDz/U7486k9jyFmw3QgVtdvB88WfQRUcSQHpePm6fE3+dOaM3ceExXe6nMyhlp7j4EjZHom127/kPI0Z8LX4a175nzDGmz8TjGZ6wcWRlzkMpJ1oHCAZrqKldQWbG7E7v39i4jeZmM1qjp+LbVpRSjB//M2rr1lBXZ4Tar137fdJ8E/BExHf3WKKSsrMXkJrauRmMZMeuFFeX5HFSbgbfW7+TNyKpRo3hMLds3sOT+yu5bfxQpqT1LKWwv8nwOLnh+LFcc9RIHl2yk7++s4XSGiPkWWt4ftVenl/VPS2v1jiddhyLCggqqAmGeeVAjakh0gme2FcZvfFmOuy49jdxwsOfsbMiQIsGmt2muPGEcVx79Oio4Hg85mf6mOJL5fNIytz9u8r4w4Rh3HLmZC49fBjfevg9Pj9gHCusiRqTGalOfnLGFJ7esJj6aiPSykWQk3IzqA+GuG2badxcWpjDaE/7xp9VeHvIkFOwR4yOqVPuYflnX6SmZgUAQ/f9hN8W3s7+lDlM9qUyJ8NLnstJuKmJ9R+8Fa3Md+fEm3Hl9fzalF3kZctnI6kJ5ZFuLwM0jgNLcKWbBlNlqBiPt2dOKwG01m8DbwMP9vdYhK6zunx19PP45mbKdA77a5qY4t8VXV/qyqHclYWn2YxYfHrT0+Aq4Oe6mX98/n0eG3Ic455cSUa98bDsPWI+VG6HJ66CvSvMAw6ZlNDxO/LySDvheGpfNCOScr78ZdR1X+X9j0ytJnEmCf3J/e9ujbFDLp4zlAvnDGVSYXo06tjKk1+dz02Pr+T5lcY+OysaOfdP7/P786dzxvT2q9W25tmVe3lng/m7/ekZk2Kq43aWU6cWctNJ46OC1h9vreDKvy3huqPHcOSYnLjOmt+8tI7miL1TkJ7CNQtHdfm4XWFqSQZPf/VI/v7hdm57ZT31zSFuOXNSXE2ojrDZbJx//vmcc845hMPh6EtrHfPZZrPh8/mi3z1lwgRcJ51C4KUXALBbqqvF00sKhsK8vs60t+JVcbPiGjYMlZqKbmzEhmZETSnrs4fz+o5jWFj8EcVqK+GwH5ut43S+eNQ1tdVVLXfl4AmZ+pzuYDNZ/lpqVWqMM2nQpbkJhz5hHebkwgXMbmxiRMB06NRanEm+UESvpC5ygdUa3vyl2cnIo2FEG532TqGUIr3IvDH4cr0UjO49XY6iwvNRkVLazc37KbOISLegdYh9+8xwy4KCngtvW3E4vDHOo4oD73bQui3WFDevdyxOZ2IFMu32VKZOuRu73UgdCoXqWLnqq4RCDQQCVewvM2cPiosubq+bAcvQFBf/nDaKP00aTo7T9NuvrG3kpGUb+PnmPUk1s9BdPC4HVy0YyTvfXcTvzpvGqNzEl38OBEKE95g31z9vLu10JUVDeNt0mvrK/Nzwr+XsrDD1k0qyUvnvV47ga4vGdOhIAuNa82VLtbTH91VSHhFaH5ufxrdmubhhpouRrc7DzadOJNfn5kPmR9fN5DM8Ns2fd5VRHjD6SLUpbhzRfv6+378/pkpiYcE50c8Oh5fp0+7H4zGrs5XsvZHLPJ9yal6mUQ0KsKWkxJTK9W/e0uF37izZRV5AsaXJjLxy1X2GK91Mfa4MluD2yjxWZ1BKeZRSC5VSFymlLox8HtheaAGA4enDmUoxo5ubmdbUzF6dw/5aP7Z6U0dpjdf4HS8omMbMIWbK/itNhobczNp1/GrzPSzYGUmzUApvdhnctxB2mVHHDJ1nvBLMkG9+E2dxMY78fIrvupMhN36LN6vro2kahW4nk32Jr44lCJ3hw80H+M1Lpm7YgjG5/PKcqcwalhXXkQSGPXP34pl87+QJUYmxpkCY6x9dzq9fWBuNPO6I6oYAP3vWTDE9alwep09rP9L4YHz1mNGcN8sUZn5/0wG+8MDHHPeHt3ngva3RCmYAy7ZXRh1hADedNJ5UV+IzNFrjsNu4asFIltx8PEt+eBwXzRnW7b7sdjtOpxO3201qaioejwefz0d6ejoZGRmkpaW1caIN+86NhOyt7IrRY+NmuSzZVhGNpnfZbRw9ruPCBMpuJ2Wc+Tw5K2A8w4a0nX+uO59wOER9/ebufFVqm9rKD9RkDKXakuKW31CBAupsqVgT9oKauAVf+gNxJgkJId+bz+9HX8jfSvdzfIP5kFbtMisx+YItkUkRZ9Km12INnkU392gM6cNNIe8JC2f2quCxy5UTk7K1e9c/2rSprPw4Wm1JKTv5Q05N+DhyrLpJFV3TTbKKbydKL6k1Hs9IJk009ZLq6zewbv2PKS19mnDYSOlxOrPJzT22V47f3yilOCc/i3cPn8BFlqpkIW1U2Dpp6Xr2+rufk59MuBw2LpwzlFdvPJp7L53FlOLYGWm7TZHtdTEix8O0kgwWjMnllCkFnDOzmAtml3DJ4cO4/IjhXLVgJF85ehRfXzSGLx81ivx0Y7bHbnEmLWto5Ph73uPxZbvwB0N0xPKaBlbXNUWX9682K7o5bIorjxzBCzcs7LSWAcBZQzLJi+iA+MOahy3OKqUU0/PsvPzNo/jRaRM5fGQ2N54wjgsOK6ExFOatOtPJNE+/ydYDy7hnh1nJ8pqSPArc7c9gGhpshhMyxV3UJj3V5cpm5oy/4Xa3OKQ0q9d8O8Z5DOAabc5WNm/pniEEhrMusG8/Ohwmp8hwHG9tmhvd7gxsJiXXNJiqgsWkSGRShyilbEqpXwH7MaKPHgX+Hfm8Xyn1SzWQFf0FDi88nOuaC3h6dynfr6ikVGezr6YJW/WmaJvPfUZl1IIULw+c9ACXTjT0GhtsNnY4zAenlKwAyq4pPh7sz38V/JaiJjMuhS88AbbEm/uu4cMZ/dqrjHnzDdJPOAGAV8vNVJfjc9IHdOEJYeCyt7qRr//r06jzpzgzlTsXzzzoZBEY9/DrjhnN366cS3qK+Tv78ztbuPzBJazd23HNg9++vI7yOkMj0+2w8YuzupbuFW88vzp3Cke1cnpsKa/n58+t4fBfv8Z3H1/Byl1V/OJ504k1pTidc2b2bcS/1+3olZS6g+EqKcZ5bmzhpv/YhnL13z/h0x2xOpvWFLcjx+SQlnJwe8Ra0e2cdNMWXVcxnk/2zaSuruu6SaGwpr65rf2aMv1o8uefHF0uaDB0qJocLnQo1nnUEOrY/u0rkmZ6UCqTHAJU72qzqtLiTIpJc2sdlTTmeBh2ON0lFPLjG7GNocekgYbDTr+g2311luKSS6NpbJVVH1Ffvwmv1xSWtQpvZ2cvxOVKfEWT7OyjIJJuV1OzkubmClyWc94RvaWX1JohQ05i2NCr2LHzAcCoQlVWZkZyFRaeh83WViDvUCLb6eCOicM4Lz+Lm9bvZHuT4UDa2ODnws828/TMsYeMSKndpjh1aiGnTCmIpr2lpzjxuOzdMqi+c+J4nlu5h7+8u5XPmkKQYgebYr0txHceW8FPnvmcYdkeijNTKclKpTgrleJMDyVZqRRmpPCj5duifakKP7Z6IwLo6HF5/Pj0SYwZ0vXKcG6bjSuLc/ndVsNZ/NDucr5ckofPYc4Auhw2rl44iqstIeavH6imPmIMpOhGZvApt2/bTX3IaJPlsPO1YUM6PLa1iltBwdmoONXXUlKKmDnj7yz79GICgUq0DrBt2z3MmPGQ+R1GjopWKPFv2dqmj86y9wc/pPrpp3EOH0but76Nze5kb2AijeF0Um01KMKkZpgO06pwMU5378+UDnBuBa4DfgA8D5QCGigETotsDwE/6a8BCj0n329MrClgj85hf40fVWE+lKz2GfZEjtOB0+bk+3O/z7Tcadzy4S2sc7sYEdErSh/aSO7kWlIyLSkTLh+cfjtM610tQqVUtEpcIKx5qyLWmSQIfY0/GOK6f3zKgYgAtcth409fmEW2t2t25tHj8nj2+gV8+eFlrN9n6iidcse7LByby9ULR3HU2NyYfZZtr+RfH5vC+jccP5ZhOT0PJnU77Pztijm8vaGMRz7azpvr97dkqdMUCPPfpbv479LYZ7AfnTap3XL3hyKjb/wGa/73DE6/EdCwpGAia9bu57W1+5k/OoevLRrD/NE5vLrGmuLWfhS4lRSLbtKQfTtYdFIeb643rt//WX8Op83YRGEXg8/qm9umuAFsrgqSN2o4bDaq4hbUGxOgjXY3OhibzdAY1mS06aHvSabIpLeQyiQDm+qdbVYdcMZJc6svg/Uvwp7lZsNjftijQzc0bkXZwuSMryZ3YiOpCdQmao+M9Fn4fKao5a7d/4p+DoX87N9vpnEV5Cc2xa0Fn28CLlfLbIWmovL9Dtu34Pfvp7HRvOH1pjMJYPTom8iwRD+FQqYYYnHRRb167GTiqOw03pw7ga9Y0qQ2NvhZvHIzNQeJsBloKKUozEilMCMVr9vR7Zk5l8PGubNKePEbCzg7z7xthooMA62hOcS60lpeX7efv3+4nV+9sI6v/etTzrrnfeb87g0+DZhV9By76hmV5+WhK+bw9y/N7ZYjqYXLinJJiRhqZc1Bfrv14PpQz1hEwGezhCoyebrODAf/xvB8MpztOxVr69ZRV2fqkRRYUtxa4/WOYeKEX0eXa2o/j0kNjIlM2ty9yCT/1q1UP/00AIHtO9j7zRvwNh9AY2drU/xrSr2rWKIVDs6VwJe01ndprbdorRu01o2Rz3cBVwNf6ucxCj0ky29qquzVORyoqoIK87e42mekuWVZUnJOHXUq/zj1H5SmmfeQ9GFNsY6kwhnwlXd63ZHUmiXVddRGUrfdNsWCrO5fXwWhu/zs2TUxFVR/ftZkppVkdquv4TlenvzqfE6bGuspeHdjOZc/uIRT7niX93YHCYSNAiI/fHJVtM34/LSE6hXZbIpFE4bw4BVzeOemRVx79Oh2HWQnTspnXgcVyg5FHFlZjLjt//APH80bM05kTfaI6LYPNh/g0vs/5qQ/vsPuKuNZVCk4fmLnNHqtzqSmDRv46ekTcdoNe6rKn8kDS7o+Gdy6klsLm8vq2BBxXkJsZFKgORzjuEmWim7J5ExaBNyMUZlEGIjEiUwqszqTWtLc6vbDm78yG407BUo6Lxwdj4Z6MzTc4xneJyXmlVIUF18SXd679wlCEdG0AwfejDpM7HYPeXnH99oYcrIXRpcrDnQu1a2q2kx5SXEXkZLSeWHB7mCzOZk65U6cztibW2bm4VFB7sGCx27j1jHF3DjCvImtrG3kiyu3HBIaSr2FUoobJpgh2zrDhT2945nGUKEHIlU6VCDMzTOH89INR7FoQsfRP50h1+WIiSJ6YFc5n9U0tNu+LhjitQNm+kk9Xn7AbQQjAcLFbidXFue2tzsApaVPRT+np0/H6+3YULWK6gcCFfibzRk592hTV8m/ZUunNais1Dz7XJt1nnLjYXirv22kaVPYi07tXOTkICcHWNPB9jWRNsIAJs1vpsfuIQd31QZURDy2SbnYkmropGS1cjCPyxrHhcf8krgc8XW46lXIGR1/ey/y2gEzKml+pg9vL1TTFYSOeGzpTv5piQxaPHdoj/R7wEjduvuSmdy1eGab9P11pbU8uDrAd99t4tpHzAgmgF+dOyWmmmsiGZrt4funTODDHxzLHy+aEZOmn+q08/1TulY57lAh/bhjmfHyc3z10T/y4JVzmDUsM2b7hn3mRPbsYVnkpXVONNs9blw0AlM3NFBUf4Ar5prpcc+uH8P60tr2do+LVXw7xWHDHbFVwxqWbjdT8wrqTWdSYyDEzHQPs9M9LMzykSyBZ0njTNJav621flBrfV5/j0XoJnEik/bZzUgCX4s6/brnYZ/pvWfRD3p8aKv4mdczpoOWiaUg/6wYgenSUiO1zVrFLS/3ROz23tNMzY7RTXq3Uw+FMXpJvRyV1ILbnc+UKXdgvewMpqik1tw0ooAvl5izyx9X13PV51vxJ1GFhmRjoi+VqRZB1y+eP5FnvnYk9146ix+eOoHLjxjO8ROHMKEgDa/bQWioqU90eUku1x41usMSsF3lG8PzGeMxjJEw8J31O2kvvuyFsioaLWKJn6nDaFLmd7lpZAEpHRieWoei1xcwUtwOhtOZhdttzqjW1ZpRTa6RphM3XFtLsKyMrqC1pvrZZ81jlRgPvt76SBUc/3QCoVhnX1WwmBTfoZ3SmiBWA9d0sP3qSBthoBIK4m42Hxj26myG1Jslpje5hxJWhjOmtTMJwFMSK6gdCrnh0sfhpF+Co39+Y1ZnkqS4CX3N57urufnpz6PL00syuOXMyQnpWynFGdOLePbrC3j0mnkc22pCqtoPr68ztQ8Xzx3G7OG9P3Hidtg5e2YxT1w3nxe+sZCfnTWZJ786n1F5gzsqUCnFsRPyeeK6+Tx6zTwWjm07UXewKm5WbB4PruFmxkvTunV87djJ5KYaEwJhbePHT3/WpUk5q/h2WqqT8QVp0WWr0HtBwwGCykbQ5qDeH+L52eN4fvY4HpsxhuGpXa8g1xskjTNJOASIE5m0x27+ONKCEWdSs+kZZuIZUDi9x4eub7BEJnn7bkbO4fBSWGimmuza/U8CgWrKy9+KrisoOLNXx5CTvYCW8ubNzWXU1a3reAdiK7llWKIXepvsrCOYOPHXuFy5DBlyKkN6QZR8oKCU4tYxRSwuNA2ONytq+eqa7QSTpEJDMnJBgTkD92x5NVNLMjh1aiFfPmo0t541hfsvn8Ofvnw4x140AZ1mzhxdPaLn0Uitcdts/G7c0Ojy53WNvESs+OSepmZ+u2Uv31nf9voI4NF1XO56NUagPR4VFR/Q3GwYq0o5yB9yeqfGmJZmlgSvrTODXRxZWdizzWM2d1E3qfGzzwjsjEwgKMXwfzzCsL89RGa2YVaEcLGraUrMPpXBElKlulNn+CFwvVLqE6XUrUqpayOvW5VSS4CvY+gpCQOV2r0ozImDvTqH0UHzN9givg2Q7YgT4ePLo7pqJDoMtbvdVBXcBGNP6NUhd8T2Rj8bG8yUYnEmCX1JZX0z1/5jGc0RTZlsr4s/fWE27ni/nR6glOKI0Tk8eMUcXrvxKBbPHUrr+alcn4vvn9z3kUGTitK57IgRTCyU314LLX+vR646nKe/diQnTjIcSMOyPVwwe+hB9o7FKsLdtG4dGb5ivjjphei6Jdtq+N+KPZ3ur9ZvRialuR1MLIj/dyuor6DRYTiNGtrRWepvkkLxVSk1EXhea5245FKhbwmHoXp37DplZ5/yAIb3NSrAbTbosVZSC/WWNDevp2/Du4uLL2XXrkcAqKtbw8ZNv0brlkplOWRlHdmrx3c6s0hPn0ZNzQrAqOqWljax3fbBYG2M7kpvVXJrj6LC8ykqPP/gDQcBSin+b/xQ6oJhni2rAuD5smq+vX4nt08Yik20ZdpwTn4Wt27eQ0jDbn+AD6rqWJBlOK23Nfq5fds+Ht9XgbXoxZGZPsZ4eqfCyPwsH4sLs3l0rxGK/Bip2NC8umEXS6vrWV3XSLxYs0keG0fW380RvIvb30x9w9n4vGPjtDSwprjl5BzTaaF9n28i5eWvA1BbG5s55R41ioYKY9z+LZvxzut8EYQaS1SS5/DDcRYU4CwoYOKdU/n0Jx8DsClwFCP5NNquMlRMijiTDorW+hWl1DzgO8BlGMLbAHuB94GvaK2Xt7e/MACoMR86KrQPPy4m2bZH132WYT64xItMCjc2sue1EHvDheiwYsT1J/XueA/Cq5aopLEed9LMmAuHPjVNAb7yyDJ2VRpaODYFdy2eSVFm795rxgxJ49fnTmNuahlv7gzyYZkdfyDE7RfNIMMjFUuTjRlDM/nLZYdR5w+S4rDh6GIKYsqEidS++BIA/rXrUEpx5CjNGztWsaJsKgC/eH4tiyYMIb0TFeKsaW5pKQ4mFqa1aZPhryM11Ey508jyiVf9LRlIlsgkF9D7islC71FfBiF/7DpPDnWWlB1vqJWeyORzIH8SPSUcDtLQsM08TgcPZL2BzzuWzEzzIWzv3sein/PzT+sT/aacbDPV7WC6SVXVyzAKA4HDkRlTgU7oe+xKcc+kYRybbd5I/lNawY837u6Wjs2hTp7LyTFZ5gzOY6WVbG/08611Ozjy47X8pzTWkTQq1c1tE7o2A9VZwlqzrLqeoW4Xrojjr1kpHlFeHtpdzqo4jiS3TfG/mWN4bc4UTkndjBvD8bx8+ReotaShWQkG69hf9kp0ubAD4e3WpPnMa2xdXawzyWXRTWrevKXTfermZmpeMAsMZJxxhvk514PDZZgW2/yHEQ6bDtGqYDEpXjGyrSiljo23Xmu9XGt9qdZ6pNY6JfIaqbX+gjiSDgFqzEjFveSgCDNBmVovn6dZIpOcbaMrmj7/HIJBdFhh83hImdRzW6onvC4pbkI/sK+miQvv+5Al2yqi6246aQJHjulYfzCRZLgVZ49x8snNx7PipyeycGzewXcS+g2f29FlRxJAyoTx0c9N64wMEJ9vPIvHP4HTZthxZbV+/vjqxk71ZxXg9qU44kaURSu5RVKXG/zJGZnUJ84kpdRPOnoBX+mLcQi9SLARRizE78w013lyqLOUMYymuQEoGxyTmCj9pqad0UggUP0i6FxSfGnc9b1Vxa01ORbdpKrqZQSDde22taa4ZWYeFre0uNC3uGw27p8yknkZpsbPA7vLo6XnhVisqW5P7avkyI/X8ujeWCfSiFQXd0wYxjtzJ/TKLPmbB2pY9Ml6Tvt0I7/bVkpzB44/t0Ul8ZLCHOZm+rDZbIwaeUN0fXNzOZ8uXxzz+2yhrOxlwmFj1tXhSCc3d1Gnx2mNUmxs3EEwaIpEukeZ10r/ls5XdKt7731CVVUAKLebtBPN9BplU2QXGv/HzdpLWc7RADSEMtjVPJUUb1IERCcTrymlHldKjejvgQh9iNNDddo4alw57LQNYZjaj081AaA1rI2I69u1Jj1Oqk7D8s+in1OmTUM5+u93VR8M8X6laXOIM0noCzaX1XHuvR+wziJ8fMHsEq49uv+SXKRS6aGLe4JpSwX37SNYWYnPO548TwWnjXw1uu3vH25j7d6aeF3EUOc3NZN8bgcTi9peNwsjzqQmu+FMGuyRSbdgOIyubOfVN0/cQu+RNQKueI4tI02nSjg1K+YByxO2OJOmXgh54xJyaKv4dmrKUOz23kln6Yi8vBNwuWJnI1JTh5Ge3nM9qM6QljYNh8O4EGkdoLLyo3bbxopv922Km9A+HruNR6aNYnqaGZp9+/Z9PGspJy8YnJSbQVpkZqlZa4IWP86wFBe3TxjKu3MnclFhNo4El7tYW9fI4hWbWbxyC+vrm9ptl2JT3Dq6iCdnjCZg0cA6e0hm9HNBwZlMnPhbVERoNxisZflnl1Ne/mZMX3tLn45+zh9yGjZb551jKSkl0SIBAHV166OfXWPMqMTGpcsI7G6VqtwO1c+aQuC+YxdhT4sNz84uNo+3PO2LPB/+Cv8qv5uA9khkUlteAM4F1iilfqaUkjzAwcD4U1g287c8Pu8hrkn9HpOUmeJWTyb1DqNoR0Y4GPcBtfGzz6KfU2f0jZ3RHu9W1kVtvXSHjbkZg1v8V+h9lu+o5Pw/fRAt8w5w7dGj+d3508ShI/QKjiF5MTqT/nXr8PqMaKWTR7xOvscQ4w6FNT955vODZhbEprk5SU9xUpIVe/vPbzArucEgj0wCdgDfjIRot3kBp/XROIRexhkwZwgCrUpAa08kDc6RCkd/N2HHrG8wnUl9Kb5txWZzUVR0Ycy6gvyz++ymZrM5yM5eEF0+UPFu3HahkJ+ampXR5cyMvqnkJnSONIedR6ePZrzXdIj+eONu6oLJORvRX6TabZxhccqA4US6bcJQ3j98IosLc3Am2IlU1hzgpvU7Oe6T9bxZYV7nFHB4hpevDxvC78aV4IwYEE1hzeZGP+sb/NFUtyK3kzmW6DMwNMSmTrkHm80wFsLhJlauupbSUqMiZFPTXiorP4y2LyjsfIobgFI20nzmjJpVhNszZw6OggIAdCBA2b33HrS/UG0tdW+Yzq6MM9oWGMgpMr9j1X4He5sn4dfGA6Y4k2LRWp8OnA7sAn4ErFNKDd4yl4OMfEKQ4mCiRS+pwlEU/ZwRDLTZR2vdypk0ozeHeFCsVdyOyU5P+LVXEKy8uW4/l/z1YyobzN/GT06fxPdPmSCOJKHXUErFprqtXYfPawRFOO1BFk8wJU4+2VbJ0591PDlXY01zcxuRpa1T3QqjzqSIAHcgOZ8F+sqZ9Bkwo4PtmpZyVMKAxhkwjYrmFDMVRekwm8e7KJt5DFz5POQkzunTYBXf7idnEkBx0cVYf1K9XcWtNTnZC6OfrbpJTU172bv3Kdas+S4ffnRcNCXQZkslLS0xZVOFxJHtdPDQlJHR1KjS5gC/l3S3NnxnRAHT0lKZ7EvhD+MNJ9IlveBEagyFuWPbPuZ9tJZH9hyI0UA6MtPHK4eN45lZY/nR6CIuK87lPMyZ0of3HOCeHfuiy2cOyYwrqp6XdwLTpz8YjSDSOsjqNTeyc9fDlO77Hy0aZ6mpw8hIn9Xl7+CzpLrVWXSZbC4XuV+9Lrpc/fQz+A9S1a32lVfRfmNiwJ6ZiW9B2wID2RZnUm2Zi1CzuewWZ1IbtNYvAJMxKrRlAf9SSr2tlOrfkBOh10kFUjyOmMikUrcpIZoZaG6zT2DnTkIVpkZM6vT++zfRWsc4kyTFTehNHlu6k6sfXkpj5KHaaVfcuXgmX1rQ9/IWwuDDmurmX78epzMDt9uYkJuau5ZFY82U5P98srPDvuosUUbpKfGdSQWt0twGe2TSH4D3Oti+Cei8CEQfoJSar5R6QSlVoZSqU0otUUpd3oP+To8Yh9VKqZrI57i1nZVSdqXUhUqp/1NKvauUqldKaaXUfd3/Rn2D1ZnUaHEmuWki6FKUj58CxbMTekxrZJLX039i0ikpRYwf91NSU0cwetRNfa7dlG1xJjU27WD1mu/w4UfH8/4HC1iz9jvsLX0Cv39vtE1m5mHYbPJgl4yM8rj5+jCzlP39u8tYXdfYwR6Dj6IUF68cNp7X50zg0qLEO5EAXiqrZsHHa/n11r3Uh0w30uhUN3+fOpLHZ4xmaponZp9TaWKoNm/4u5rM2dOzhmTRHtlZRzBr5j9wOs2Izg0bbmXbtnuiywUF53Rr5tUqwl3bSoQ785xzcA4fZiyEQpTffVeHfVVbqriln3oKyuVq0yanyExzaa5PIdiYEV2WyKT4aK0DWuvfAuOBR4GFwFKl1J+UUjn9O7qDIzZT98n1uZloM8W3d3pNzZcMf9tUWmtUkmvkSBxZ7V9XepvP6xopbTaucQo4NlucSULi0Vpz71ubuOnxlYQiaeM+t4O/XTmXM6cXHWRvQUgMbkvREv82Y+KtJToJ4OxJ5jPWutLaDlPd6loJcANMau1MikQmtQhwJ6tmUp8o9mmt4+fcmNvrgbf7YiydQSl1DvAYhrPtHaAcOA74m1Jqutb6xi729w3gDiAIvAb4gROBZ5VSN2it72y1Sxrwn559i/7BmubW4DYNnNTIbH0oVJ/Q42mtYzST+jMyCaCk5AuUlHyhX46dklKI1zuO+voNQGwp8dakpU1mzOjEpRoKief6Yfk8sa+SbY3NhDR8b/1O/jdrbNzIFiHx/G9/FV9ZvQ2rKZDlsPPtkQVcXpTbrvPKAVxNPbeQEbPv8BQXM9I6lsNJT5/K7Fn/Yflnl0Udv9ZrZncF/a2RSfX1GwiHA1FHsnI6yfv69ey56SYAal54kZxrriFl4sQ2/QRKS2n4+GNzvJYqblY8GS7cHgf+hoixpE1TQwS4O0ZrvRf4glLqT8BdGHqTFyqlfgrcq7VuXSCw3xGbqWeM8/gpVgeiy5vTzUpu6U1tJxGSNcVtVrqHXJf8voUR9Ar6AABb9UlEQVSuEwprNpfVsb/GT1ldE2W1fsrrmimr9VNW66e0polN+02R91yfm79dOYcpxRkd9CoIicU10gwSaN66Da01Xt94DlQY2SBD3OsAYyK4qiHA/lo/+enxdXxrYwS4DXtsakkGShlFGDwEyW2sBiyRSc3JGZkkV/1WKKWygIcAO3Ce1vrJyPp8jOiqbymlntVav9lBN9b+xmFEZvmBRVrrDy3rPwD+oJR6UWttrSUYAB4BPom8ZgB/SsDX63VcQdOwqHNlGt8EizMpmFhnkt9fSihk3mA8/RiZlAzk5BwddSZZSU0dRlbWEcYrcx5ut5QuTXZS7DZ+NbaES1YaJduX1jTw6N4KLi1K+iCFAc97lbV8fc32qDPIqRRXleTyzeH5ZDoPftscS4jLi3P52+7y6Lqz87M6FVXk9Y7isNn/ZflnV9BgibrMyJiNxzO8gz076NMzFqUcaB0kHG6moWELPp+Z+59+2qkc+Otf8W8wrh1lf7yDoX9uG9RR8/zzhpUDOIcObfdBVilFdpGXvZuq22yTyKTOobV+Xyl1MvAX4EwM58pXIs6UN/p3dCZiM/Wcw21mOkSFTmOnz6KZ1NDWZmpIUmeSpLgJXUVrzcur9/HLF9aws6Jz0dcjcjw8/KXDGZbjOXhjQUggrpEjop/DNTWEDhzA5zVtKVtwNUPSTmB/rSEFsL60tl1nUqwAt2FXFmem8p0Tx/Pkp7s4f/972CNzRy2aSfX+5IxMkprgbbkayACeaTGKALTW+4CWUI6uzLLdgOG0u6/FKIr0twH4ZWTbN6w7aK3rtdaXaa3v0lp/BLRfMijJsKa51bgyo59TMSq5BRMcmWRNcXO5huB0Dm5jZtjQK0lPm0ZKSgkF+WczceJvmX/EO8w/4k0mTvgVBflniCNpAHFsTjqn55kzb7/YvIcDSTozcaiwuq6RK1dtjVYnynTYeeWwcdwyprhTjqQWfjiqkAKX4ThxKDg3v/OpKCkpRcye9ShpaVOj64qLL+n0/q2x2914PWbUZm3d2pjtymYj75s3RJfr3n6bhk+Xt+mn+n9milvGGWd06ByzprpFx+FUOFxty5wLoJRyKaXmKaVuUEr9Uym1CdgLtIR/KQxdpVeVUv9QSmX211hbITZTD5kR2hb9vDY8jCqX+fCRXl8b0zbc0IB/vTlh1J/OpPLmIJ/WmFV6xZkkdIVN++u47MElXPuPZZ12JM0clsnj180XR5LQLziysrBb0oqbt26NmZirr9/M+ALT9tmwL/b6baXW3zbNDeBri8bw+reP4cSGddF1Epk08GjJyX88zrbnMYyU45VSKVrrzhgsHfX3GHAbhrF4fVcHmoxY09yqXJkQ8R2ZaW51cfbqPskivp0suN35zJnTfnqbMPD4+dhi3qyopT4UpjIY4hdb9nD7hGH9PaxDku2Nfhav2ExtRB8p1aZ4ZNooJvq6Xq093WHnmVljuG9nGUdl+WIq9HUGlyuHWTP/yZ69/8XpSO92ilsLvrSJ1NWvB6Cudg0UnB27fdEiUqZPo2mFUe2x7PbbGfbw36MOo6b16/GvXx9tn3Fm/BS3FtKGtJ1BS/G21Vca7Cil7gYOB6Zh2mQKCAErgA8xInI+ALzA74FLgCOUUsdrrTtWTO99xGbqIWMazUmxNXo4B+ymaZ5RG/sw0rjqcwgZvy2b14t7TP/ZPW9U1ESjNwtcTqZ04zopDD5qmwLc+fpGHnp/G8GwmQxuU1CYkUpemptcn5u8tMjL5yIvzU1hRirTSjKkYpvQr7hGjqSxshIA/9atpM86C6XsaB1C62ZG5YR5NxI3u660A2eSNTLJ3dYdE24wHfWNSR6ZJM6ktkyLvH/aeoPWulkp9TlwGIZI5oqOOorMHLY89bWZ5tVa71JKlQPDlVIZWuu2OQEDiVAQZ9B0Fh1wWkRXI86kYILT3JJFfFsQeotCt4vvjizgp5v2APDo3goWF2QzN7Nt5IfQfcqbgyxesYX9kZkfu4I/Tx7BnAzvQfZsn+Gpbn49rqTb+zscXoYNvbLb+1tJ802ilKeBtpFJYKSmDfnWt9hxhXG8hk8+of6DD/AdaVRrq7EIb6dMn4ZrxIgOj+dXL9G6iKvoJcXlq5H3SuAjTOfRxxE9ydacopS6CiP97Q/AuX0yyvYRm6mHZFeYv8e14WEcUObvJK029ivG6CVNn4ay91+k3zP7qqKfj8tJk4d8oUPCYc1Ty3fzm5fWURZJA2ph4dhcfnrGJMYMSeun0QlC53CNHEHjp8btrnnLVux2N6mpI6KyBEPTK6NtO4pMik1za5v+rxvMaD2/I7kjk5ImzU0pdZRSql9jZCPHz4ws7mqnWcv6zoQGtLSpbMco7Gp/yU1jZcziAUvKWW8JcFvFtz0SmSQcolxVnMckS2TL9zbsIhDWHewhdIX6YIgvrNzClkbTwP39uKGcmHvoiHv6fKagdl3d2rhVRrzz5uE5Yl50uez2P6K1RofDVD/7XHR9xhlndnisxsZd1Ab+2Wa96CXF5RpgstY6R2t9mtb6F1rrNzqwGdBaP4AhTH1MXw0yHmIz9RwVDmAvN9PW1ugRVNlMB1F6Vaxd1bjc9LH1Z4rbfn+AtypNWYNzupDGKww+Vu2q5vz7PuDbj62IcSSVZKVy3xdm8/CX5oojSRgQuEeZ1Tabt0YqullS3Yq826KfN+yrJRzHVg+EwjQGzCgja5pbC+FGM5C30S7V3DrLW8A+pdR3tdaP9NMYrFP9De20aTFwOhMW0NKmvb662l+3UUqtbmfT6Pr6et54o+d6np76nbQ8hoSVgxU7y8FmhD23OJOam6sTcqwWNGaZ6w0bati4IWl0SbtFfb3x75DIczSYOJTP34U4uCXib19b38T33/qQ03pBGuRQPofxCAL/h4+VykzBulA3ULBuBW+sa3+/9kjW86cxo0YDgUreePMJFNlt2jkXLCD3w48AaPr8cz64/XZ0qoecffuMfmw2Vqb5CHfw/TR/w+6qwpFSRbApM7q+pr6qU+elp+ewZf+BQMQx1B12Ascncizd4JC0mfrCXgLj/zS9YTsqbFQq8WsHm3QRDTZznte9r9Q8ntYMWbqUFlfTBqVY1U/XmRdwE1JG1Ga2DtG0/BP6YyTJer0dKPT2+atp1jy5McC7u0Mx1U2dNjh1pINTRmhc+9fw5v417faR7Mj/YM8YaOfPXVsbtZyq1qxh4xtvoLFMlFW/g2IEGmgKhPnPC6+T74mN3akLxDqYln/8AeudsZGduTW10V6bIpFJNQ3+uOepJ+cwEfZSMjmTFgGjgbMxqnJ0C6XU48CULu52mdZ6CYZOwUEP0ZXhRN47CiE4ZOKCXRbx7YAznUZl/nhanEnQjCaMSkBQnPFwZA0hLOxxn4KQrIwjyDG6ibeUEaH0OKnMw09Oh5cXoSPCwF/wxjiSTtRNnDWw9Hs7hcKHJhuoiKzZCXGcSYGRI2maNpWUlasASHv2WQLDzSpy/kmTCKe1P4OsKcXI1AJXxu4YZ5Ld3cMvIVj5P+KklnUVsZn6l/SG7dHPm3QxAbuTsMWZlFFV0VIUF3tZGfY60yncPHIkobDGbuv7U/Ie5o95Ac3Jk+YgJAXBsOaNnSGe2RygsVVmzuwhNi4a7yQ3Vf5rhIFHMD8/+tleXg6BADiLo+vcju3kpSr2Nxq3sd11mvxWevFNwdhbXJzAJJRFoLulmltzCMJaY0uylOKkcSZprd8G3gYe7GFXIzBy87tCy5+5ttW6mg7adkZJuqW/jkQ3utJft9FaT463Xim12uv1Tjr22GN7fpA1dWBot+LOKiJtSD6UVQGmZhLA0UcdjsPR83DWqqqlLIuY0g5HOkctPGfA5+y3eJUT8vcYhBzq529GIMiCj9dSEQjhV4qX8kbwwJSRCT3GoX4OWyhvDvK7rXt5b8+B6Loz8jK5b/Jw7D24jiTz+Vuxcibl5a8DMGqkk5Ej44+xqbiYrWefA1rj3FuKc29pdNuoK68go4Pv9vnqb7FvnyFg7s2ppWGfuW3U2GEccezBte16eg693u7rXA0UtNbrgG7EzrVhBGIzxdAn9hLG/3lO6d7o8prwcCNkw0JmdTVTI8erevppWlq7Ro/mY/sYHnprK5cePpyfnDEpIWPqDGvrGtn2iSnG/+3DZ3a5wECiSObr7UCgN87fuxvL+NWza9i0P3ZSZswQH7ecMZkFY3MTdqxkQP4He8ZAO386EGDdL38FwSBKa44cPZpQ0QQ+/OjeSIsypo3I5rW1hm3pzhvBsceOjeljzZ4aePddALwuO8cfd1yb46z5gelwaqnmpoH5C4/G44p13/TkHCbCXupTZ5JSygPMBoowzsleYJnWuqOQ5i6htT6sB/vWKKWqMcrclgDx4i5b1FR3dKLLljZZSilvOxoAXekvuWmsMD97sqkLmbmdqZao9WCwLiHOpHprJTfP6AHvSBKEg5HtdPCj0UXcuG4nAM+XVfOlVVv58tA8Ds/wHlK/AX84zAtl1Wxu8FMTDEVf1ZbPNcEQmU47x2anc1JuBkdk+nB2MEsf1pp3Kmv5554KXiqvJmDRDToy08fdk4b1yJGU7KT5JkWdSfFEuFtIGT+e9NNOo+a552LW2zwe0jowVurq1rNvnynUPWzMdMosd1G3aCYlHWIz9S9pdWYxvrV6ONriTPI2NuDwN6Gbm1EuV4z4tm3KVO5729CMfPD9rVx7zCiGpPWNQ+fxfaaO07S01H5zJAnJxY4DDfzi+TW8smZfzPq0FAffOn4cXzxiOE67RCMJAxvldOIaOjSql+TfupW00cdhs6USDhuBEyOzmqPt18UR4a7zdyy+DYBFoLvRYUbP1/tDbZxJ/U2fjEYpZQN+AXwDc1aphQal1B3Aj3Q8RdC+ZwVwFDCLVoaRUsqJEQ7uB9a33TUWrXWVUmoHhlDkTOC9Vv2VALnAjkOiKkmDOcNPajZ1wXB00aMC0cD1RIlwWyu5ebxSyU0YHFxckM2jeyr4pMb4Hb1QXs0L5dVM86VyzdA8zhqSicvWscFWHQiyvLaBqkCI8d4UxnlTksqJ8nltA9ev3cHa+oOnm1UGQzywu5wHdpeT7rBxbHY6J+dmsCg7jQyncYvb1dTMv/dW8OjeA+z2B9r0MdmXwkNTR+I+yHkb6PjSrCLcHWtU5F3/dWpefDFahhwg7cQTsaW2X/57y9Y7aLnQe71jGTFyPsv+ZwoGiwD3IYnYTN1Fa3z126KLa/RwtMu8BqXXGw8h4cZG7C4XjZ+ZxfC2FY0GM6iJ17Yd4JKpZqpFbxHSmidKTWfShQVtU2WFwUUwFObONzZx39ubabbY/UrBxXOG8p0Tx5Pjkxxn4dDBNXJk1JnUvGUrStnwecdSU2uk5wxNLwMMJ/uG0njOJNMOjSe+rcNhlN/8LTVbnElGRbfk+j31lWvrVuA64AfA80AphsVZCJwW2R4CftJH4+mI5zEMo/OBf7TadjrGf8cLWuvOimo8j/Hdz6eVYQRcEHl/jkOBBmtkUg61locQr00bf2EgmCBnUoM1MkkquQmDBJtS3D1pGF9cuZUNDeZlaGVdI9ev3cHPN+/hyuJcvliUS67LQTCsWVvfyKc1DSyrqWd5TQMbG2LL8nrsNqb5Upme7sGJi9EE0Vr3eaRTIKy5a8c+bttWSrAbUws1wTBP76/i6f1VOBTMz/RhV4q3KmrjirDkuxxcVJDN14fnk+7ovxLbfUWaz0yFaWzcQTBY226UqGv4cDLPO4+q//43ui7jzDPa7bumZhVlZS9Hl0eN/CaZ6bF9izPpkERspm7i9pfjDJrZemvCw2LS3NIj+kjhhgawO/BvMKu+veZpCfA3+N+Wsj5xJr1XWUdps/Eg5FBw1pDMXj+mkLw0B8Pc8O/lvPh5acz62cOzuOWMyUwtOXQqogpCC+5RI6mLaF23OJW8vvFRZ1JB6hbAsLe2ltfjD4ZwW2zMWkvUkc8dx5nU2Bi7IiU2MinZ6Ctn0pXAl7TWT7VavwW4Sym1G7iT5HAm3Q/cDJyllDpXa/0kgFJqCPC7SJvbWu+klGrRLjhOa73bsukO4MvAtUqpf2utP4q0Hxs5Tgjjuw98rJFJnpyYNDev3XQmhYKJkTqITXOTyCRh8DA81c2bc8fz+oEa/rKzjPeqzN/U/uYgv91ayh+372OSN5V19Y00xilNaqUhFOaj6no+qq4HZRRJuvW9z5mV7uFrw4ZwZFbvl+xdX9/EN9ZuZ0Vt7E30pNx0it0u0h120h12MiLv6Q47aXYba+qbeLm8mncqa/FbvmdQwzuVba81dgXH56RzaWEOx2an4+gH8dr+IiWlBLvdRyhknJfaunVkZc5pt33uV6+j5oUXCNfV4Ro1Cs/hh7fbdsvWP0Y/p/kmk5d3IkrZyCrwUFlqpDmn57Yf1SQMWMRm6iZp9WaKWzCtmJomX0yaW3p9xJnU2Ejz9u0QNmaqbWlpvBn0YpWNWr6nuk+EWR8rNScNF2Wnk+cSB/FgpSkQ4rp/LOPN9WXRdfnpbn5wykTOmlF0SKXdC4IV10hTq7TFmeTzmdKDmY6VOO2TCYQ0wbBmS1k9EwvTo9utzqS0OJFJ4VbOJJsnhZa6MEZkUnLRV86kHOLn0rewJtKm39FaVyilvgT8F3hcKfU2UI5RgjcTuFNr/XqcXVv+i2LurFrr9UqpmzCMqXeVUq8CzcCJQCpwo9a6Tfi3UupejLBxgLzI+zlKqRmWvud160v2Fq2dSQEzRM9nNz2yiUhzCwbrafLviS5LZJIw2LArxYm5GZyYm8Gaukb+uquMJ/dVRh0q/rBmeW37cnRZDjt5LiebG5sIxfE1VQVDvFFRy5sVtXx3ZAE3DM/vlQeVkNb8eWcZv926N8YZVOx28scJw1iY3bEja1aGly8U5VAfCvFORS0vldfw6oFqKgKxszcjUl1cWpjDhQXZ5LsH5wOQUoq0tElUVS0BoK52TYfOJGdBASMe/Rd1771P+oknoOzxo7eqqpdx4MBb0eVRo76FilTzXHjxOD5+ZgvF47PILem1au6HNEqpB4EA8LDW+v3+Ho8VsZm6j69uW/SzKpgGZUC8NLeGxhi9pJRp09hbHhvo1VjdzAdVdSzoRcd/fTDE82VmduEFkuLW62itufP1TTy/ag9XLRjJRXOG9feQAKj3B7nm4aV8sNm0+xeNz+PuS2bhjRNpIQiHElZnkn/rVrTW+LzjouuaGtYxOs/HukiK24Z9tTHOpFjNpDjOpAbTdtdK40h1Q5PxTF3fPHgjk1YD1wDfaWf71ZE2SYHW+gml1FHAj4B5gAtYC9yjtX6oG/3drpTaBNwELIysXgb8Xmv9v3Z2mwS0ngYeEnklJxZnkvZkU1th0dqwiO4Fgz13JjU0bIl+ttncpKT0fni3ICQrk3yp3D5hGD8cVcgjew7w0O5yyiyzFw4Fk32pzEr3Mjvdw6x0LyNTXSilaAiF+by2gc9qG/istpEPSsspVabTQAO/3VrK0uoG7p40jCxn4m4bWxv83LBuB0uqY68JlxRmc+uYYtK6kHrmtds5JS+TU/IyCWnN0up6Xj9Qg19rTsxJZ36mT2ZKAZ9vYtSZ1JEIdwvusWNxjx3bYZstW26Pfk5Pn0lOzjHR5aETshk6QR46e8gVGD/FqyPOlZ9orZf075BMxGbqHj5LZJK9cCr29TYC8SKTGuppWG5qj1WOn0i4Ioj1aqbqAvx3b0WvOpNeKK+mMRIdle6wcWJO+kH2EHrKHa9v5I+vbQTgh099zpwR2YzK61+nfE1TgCsf+oRl203trFOmFHDHxTNxOQ5t3UFBgFhnUrimhlBFBb40MzIpEKhgTJ6LdZHsz/WtdJNqmyyaSXGcr9bIJO0Cj9uBMacCDf7BG5n0Q+BZpdTRwAuYsoGFwCnANKB9MYZ+IDL7d0oX2nf4lKK1fhZ4tqM2rdof09m2SYPFmdSckh0T7ZDmsEez+4Ohnqe5xYhve0aj1KGvdyIIByPP5eTGEQV8bdgQXi2voSwQZIovlSm+VFLbqaLisduYm+ljbqZhoL5Rupl6rUidPpubN+xie5NxA3u9ooYTlq7n/skjmZHeuo5C13mitILvrN8VfTgBGOJy8IfxQzkht2c6C3alODzTx+GZEgnTGqtu0sFEuDtDRcUHVFZ+GF0ePepb4rRLPLcCNmA6hj7Rh0BS3fTEZuo61kpuFEzF63HSaHEmZdS1RCY10GQR334neyjKIlEJoIKa53ZX8JvxQ/H0UsUsa4rbmXlZpEhlrl7lsaU7o44kgFBY84dXN3DPJbM62Kt3qaxv5rIHl7Bqtxmhds7MYn5//jQc8v8gDBIcWVnYMzMJVVUB0LxlC545c3A6swkEjOvkiCxzkrS1M6muqeNqbqF68zlZu8HrdtLiTErGyKQ++eVrrV/BmK3aAFwG/DHyuiyy7git9at9MRahF7EIcDekZMZs8jlN8bBQIiKTRHxbENrFbbNx+pBMrizOZU6Gt11HUnt40Ryfk84rh43jpFxz9nlXU4AzP93Iw7vL6UnxzXt37Odra3fEOJLOzc/i7bkTeuxIEjomLaai20bC4bbV7bqCUcHNIDPzcLKy5veoP6EtWutbtdY/1VqfjSEJ0H5uojAwaKohtclSQr1gKtk+d9w0N//atYSqzYf355zxg62aqv28Ut61IncHmoP4Ldfh9tjT1My7Fg26CwqyunQcoWu8t7GcHzy5qs3651fuZdWu/ilkWFbr5+K/fBTjSFo8dyh/uGC6OJKEQUfrVDeI1U0q9pmi9Ov3tYpM8ncswB2sq4p+1m7wWrTpklEzKeG/fqXUyHjrtdbLtdaXaq1Haq1TIq+RWusvaK2Xx9tHGEAEm8FfE12sdZmGhg3w2s0yhqEERyZ5PeJMEoTeIMPp4KEpI7l5VGH0ZtGsNd/dsIvr1+6gIXTwhxArYa356abd/GyzqXeW7bRz/+QR3DtpeEJT6IT4eL1jUMo4z1o3x6QMdxW/v4zq6qXR5dGjbpSopC7Sns3UHtrg094aj9BH7LMoO7jSIHM4BekpMQLcGZHZ6fr3P4iuc44Zw7ra+I58VRfksdLKuNvicf+uMia//znzP1rL2rrGDts+ua8yGl0+LMXF3Axvp48jdI21e2u49h/LCEY0BHN9bsYMMaNsf/fyuvZ27TX2Vjdy0Z8/jHkovvLIEfzqnKnYBlERC0FowTXKKsK9DQCf13Qm5aeY1Td3VTbG6CQdTIA7WGcGZ2iXxutO7mpuveFK/lAp1X8xmEL/0Bgbc13tMqMLfA4bTodpeAQTIMBdX29Jc/NKJTdB6C1sSnH98HwemzGaPJd503t8XyWnLtvAuvqOH0JaaA6HuX7tDv6806z8MjzFxfOzxnG6lJfuM2w2N17LNbO2tvupbtXVy6Kf3e4CMjJm92hsgxSxmQYjpZaok4IpYLMxNDMFrJpJdYYzqWGFmeJWNXEy1JjRhOmWBxFVF+CtyhrKmg8ebbirqZlfRJz6u/0BzvtsU7sOJa01/7U4qc4vyBKncS9RWt3ElQ99En3wTHXaefCKw7j5NDOi9N2N5XywqbzPxrSzooEL//whW8pN2/1ri0bzk9Mnyf+BMGhxWyu6bTEm5Xy+CdF1ruB7eF1mNvpGiyO27iDOpFC9Gf2n3SrGmTQoIpMwqne8pZQ6+WANlVLt1xkWBhY2J8z/Bnvyj2V/7jxqlBmJlGa3Y7c4k3qa5hYON9PYuC26LJFJgtD7HJmVxquHjedwy4z0uvomFi1Zz1Wfb2VFB5Xj6oIhLlu5lSf2mQ8kU3ypPDtrLCM97nb3E3oHn8+a6nZwEe72qLJEJWVmHCYPFt0jE7GZBh9D57J12EWU5RwOoxYBMCbLGxOZ1JLmRsB0Dq0cMRpVay6fNq0o+tlWFySk4el9VQc9/K+37KXJUj2zIhDi/M82x3UoraprZEODWT3ugnwR1O8NapsCXPm3TyitMc61TcFdi2cyrSSTY8blMXeked5/+/L6HqWad5Zt5fVc9OcP2Vlh/l9858Rx3HTSBLneC4OamDS3bUaaW3b2kea6pm2MzjPT06y6SbV+qwB3W80ka5obKfaYComDJTLpeIwStv9TSl0Zr4FSaopS6hkgqUrcCj3AmwMn/px146/n80nfo96S/uJz2HHYExeZ1NC4Ha2NH5NSdjyeET3qTxCEzlHgdvL4jDFcOzQvuk4Dz5dVc9LSDVz82Wber6yNMXLLmgOc+9km3qo0b6QLMn08NXMMQ+LcRIXexyrCXdsDEe6qqk+inzMyD+vRmAYxYjMNRopmsHXExaya/H045nsAFKS3ikyqbysJ8L+0IlTk8mqzKU6bWhjdpuoCoDWP7atos5+V5TUNMY79Fg4EgnEdSo9bopLmpHsH3QRAXzhtAqEwX/3np6zda8pF3HrmZI6flA+AUorvnWym0KzYWcXLq/e16SeRbC6r46K/fMieatOR+KPTJvL1Yzuu7ikIgwHXyFHRz4Fduwk3N5OSUhQzWTc0zSxMtb5LkUnmdYAUJx5LhNOgiEzSWr8HzAd2AfcrpX7csk0pNVop9U/gM4zqbXvjdiIMeGqDpufUZ7dht5v53qGeOpMsKW6pqcOx2VwdtBYEIZE4bYpbxhTz96kjGdvqoeKtylrO+2wzp3+6kZfLq9nW6OfMTzeystZ8ODlzSCb/nD6KNEdSFaMaVPgsIty1tWu79bAUDNbFpMhlZogzqTuIzSS04PHFOtcz6mNFW0lLY6kyCyKMyvMyuchcVkENzWFW1jayob6JeGituWXT7ujyZF8Kd08cFn0YaHEotaQvB8OaJ/fFprgNJl5ctZejfv8mp97xLvtr4p/TnqK15uanVvHuRjN17StHjeKLR4yIaTd7eDbHT8yPLv/fK+sJdlG3sLNs3FfLxX/5iH01/ui6n581masXjupgL0EYPLiGloAj4ggKhQjs2AFAbu5x0TZD3KaNtMHqTLIKcMdxJoUbLNf+FGdsZNJgqeamtV4PHAF8CtyilHpAKfVnYA2wGNgPfBMQsZtDlDrLDS7NbsfhsDiTgj0T4K63VnKTFDdB6BdOys3g7bkTeHDKCGakeWK2Latp4PJVWzny47VsbWyOrr+qOJf7Jg3HbZPKL/1JmmXmLBiswu/vuo+ipmYFYFzn7XYfPt+4RA1v0CE2kwDgtDxU2INBUvz+mO01EydBrfkgMaMkkyyvi1yf6dS31RnpE4+Xxo9OeqG8mo+rzQm9W0YXc35BNndPGh7jUDpvueFQequylvKA8eDjUoozB4m+XVMgxE+e+Zzr/vkpOysaWbO3hjvf2Ngrx7rrjU38d+mu6PJp0wr53skT4ra96aTxtGSXbdpfx5PLd8dt1xPWldZw8V8+oqzW+P9TCn5z7tQ2zi1BGMwopxNXSUl0uaWiW57FmZTtWBL9bE1zq7FGJsWp5haqN6/RKtUVG5nkHwSRSS1orfcBZwIHgCuAq4FK4NvAKK31nVprf/s9CAMZa2SS12HDnsA0N2slNxHfFoT+w6YUp+Zl8uLssTw2fTQLs3wx20OWgJcfjirkF2OLsYnOQr/jdGaS4ja1Vmq7oZtUVWXVS5qFUhJp1hPEZhKU2/wNuZuaaX2lXD1yLDaLXlJLVNJYS6UvVWc8aDyxr5Jwq4jD5nCYn1sqaR6fk87C7DQAzs3P4q7WEUrLN3P3djOV6oTc9EFRcXNbeT3n/ekDHv5we8z6Z5bvSWiKidaa37+8jtteNas+zRmRxR8umN5uhbTxBWmcM7M4uvzHVzfQFEhcpMLqPdUs/stHHKg3JoGUgt+fP52L5w5L2DEE4VDBNcqM1Gup6JaWNgWXawgAxT7zelte10x5nR9/MERz0BJwkdJW7iHUYHUmufG6rJFJg8SZpJTyKaVuBj4HcltWAx8B92qteydWVEgaWkcmxQpw9ywyyZrmJpFJgtD/KKVYmJ3GYzPG8MLssZySa1ZztCu4fcJQvjE8XwQ7kwhfmqmbVNeNim4x4tuZcxIypsGK2EwCQL027SZnU3Ob7S8XDkfVWJ1JxnV2XL7pTGqJTNrtD/BhVayt9dDucrZFIkXtCn4yuihm+3kF2TEOpfJAkI8sUUyDQXj72RV7OP2u91i9p6bNtlp/kOdXJibTNBAKc9PjK7nnTdOeHZXr5S9fPIwUZ8eO+W8dPw6n3biX7qlu4h8fbe+wfWdZuauKS/76MZUNxv+QTcHtF87g/NklB9lTEAYnrpEjop9bKropZSM31yiqkO6qJd1tXss37KttI6AdL81NN5oFbWypKXjcVs2kQZDmppT6AbAN+BmQCtwODAMex5h1e0MplZPo4wrJRV3I/GdPc9gSJsCtdTgmMsnrFWeSICQTs9K9PDR1JG/PncBPRxfxwuxxLC6US36yYU1162pkUjgcoKbms+hyhugldRuxmYQWKi0RJk5/rDNJK8XSvOEoS7jnxEIjqmhsflp0Xabf3G4V2a4MBLl9mxll9MWiXMZ5U9qM4byCbO60OJRayHbaOTYnrU37Q4WmQIgfPrWK6x9dHqNnctkRw2OcKf/+ZGePj1XvD3L135fy+DIztW1cvo9/XH04Wd6Da4AOzfZw6eHDo8v3vLmJ2qZAB3scnOU7Krn0/o+pbjT6sdsUdy6eydmWKChBEGJxWyq6NUfS3ADyco8HjMi+Yq95zVhfWhvzW1UKPHGcx2FL9Uxbqic2MmmQpLn9EkgH7gfGaq2/rbXerbW+ELgDQxfgfaXUiF44tpAk1FpC+Hx2exsB7u5Wx2hq2k04bP7IPBKZJAhJyXhvCtcNG8L0VnpKQnJgFeGuq+2aM6mubi2hkDFzppST9PRpCR3bIENsJgGAioD5kGBvNftcN3wEjc3mA8WIHE80PcKa5haqNSq6ATy7v4rGSJT47dv2URWRH0iz2/jOiIJ2x3F+xKFkjSM9e0gWrkNU625LWR3n3PsB//p4R3RdmtvBvZfO4mdnTeFyi1bQsu2VMUK6XaW8zs/iv37E2xvKouvmjszmsa/MpygztdP9fP3YMVEdlcqGAH99d+tB9miftQdCfPGBJdRGdFwcNsU9l8zk9GlFB9lTEAY31jQ3/7Zt0WfbrKz52GyGs77IZzqNN+yrjf7OAHxuR9yUVt1oPucqr7dVNbdBEJkEPApM1Fp/RWsdowyntf4W8B1gLPChUmp2LxxfSAKskUk+hx2HJc1N6yDhcNsQ7s5gFd92uwtj+hUEQRA6R5rPTHNrbNpBMNj5BySrXlJ62hTs9rYRDkKnEZtJAGIjk2ytdDHWjh6Hrda0myZZqriNs0QmNTQF8US6qQ2FeeVANVsa/Dy423RefGN4PrmujrWPzi/I5p5Jw8lw2ClJcfK1YUO69Z2SnaeW7+KMu95j7V4zrW1aSQbPf2Mhp04tBGBqSUZM1bxHl+xo009naNFiWrmrOrru1KkFPPyluWR42uqmdESuzx1TWe3+d7dQXtc1STWtNS9tC/B/y5qj0Vguu437vjCbk6cUdqkvQRiMuCyRSeHqakIVRuEDuz2F7OwFABT7zNTY9aW1MZGP8cS3AXSj+Vu2e7yx1dwGQ2SS1vpSrfXmDrbfhlGdJAt4M9HHF5KDupjIpFgBboBQqHu6SbEpbiK+LQiC0B1SUkpiIkZr69Z1el+rXlJGpqS49QSxmYQWKoPmQ4IKxJZ8f7t4ZFy9JCBS0c1Mjzrcbn5+vLSSX2zeQzASDF6S4uSakrxOjefc/CxWHjmZT+ZNojjl4OlXA4mapgA3/Hs53/rPiphS21fMH8Fj1x7BsJzYiFqrAPVTy3d3WfR6xc4qzvvTB2w/YGqhXDF/BHctnnVQjaT2uGbhSLIiTqiG5hC3vbqBcLhzUf/1/iBff3Q5/90QpGUPl8PGny+bzfGT8rs1HkEYbDiysrBnmNfi2FQ3o6qbVYR7w746ahrN63g88W0ALKlwNm9am8ik7mb39Bb9ErOqtf4vcBKQfO41ISHUxmgm2bHbY2/MwW6KcMeIb4szSRAEoVsopUjrhgi31jq2kpuIb/c6YjMNDiotaW40xzqTVo0ci83iTLJGJgGMHWJGJ40JmQ8erx+o4YVyMxLmR6OKSLF33vR322yHXOGEpdsqOPWOd3nmM/MhLy3FwX1fmM0tZ07G7Wjr3DlrRhGpEadPVUOAl1eXdvp4b67fz8WWCmkA3z9lAj89YxL2dqq2dYa0FCdfW2Tawf/6eAen3/Uer63Z1+HDppHW936MmHhxZipPXDufReMPzQg0QegtYlLdLM6knBxDhLvYZ14r6vzBmDTZeOLbANriTHJ4fDGRScGwpjkUjrdbv9FvCdBa67eBI/vr+ELv0joySSlbzCz46tXfpKGh6xUo6hvMNDep5CYIgtB9fDEi3J1zJjU2biMQOBBdzsyYlfBxCW0Rm+nQp8IS7VKPm1DEiVOfk8vOzCEoi4NpcmtnkqWiW6guQKHbmPG2PnLMSvdw1pDMxA98gBAMhbn91Q1c+OcP2VXZGF0/d0Q2L96wkJOntK8jlZ7i5PRpZupXZ1Pdlm2v4Jq/L6Ux8rd12BS3XTida48enRAn3RfmDWe4JYpqzd4arn54KWff8z5vrd/fxqn06pp9nHX3+2zYZ07oTsq28ez1C5hakoEgCF3DmurWvMV0JrndeaSnzyDV0UR2SkV0/bLtZmEEXztpbjSZ9wK7LzMmMgmgwZ9cukk9diYppSZ0d1+tdVT1syf9CMlHjGaS3fgRZGebdnBN7UqWfHImpaXPdLpPrTX1lsgkj0QmCYIgdBurblJNzYpOhU5XVS2LfvZ6x+J0ZvXK2A5VxGYS2sMamdSAm3tmnce66bO57+rrsdWa2/LS3AxJi9Ups1Z027SvjnPz2/4ubx1TfMhFGXWWnRUNXPSXj7jj9Y20ZILZbYpvnzCOR788j5KsgxeKsKa6fbSlgq3lHVcmbmgO8u3/riAYOaDXZeehK+dw7qySDvfrCilOO/+6Zh4nT451hK3YVc0VD33C+fd9yAebygmFNbe9sp5rHl5KrUVz5ZQRDm6c7SK7E1XkBEFoi3tU/IpuALm5xwJQYkl1szqT0tqJTFIWZ5HDm4GnlcZdfXNyBSknIjLpc6XUP5VSU7qzs1JqhlLq38CqBIxFSBLqYtLcjH+zyZP+QFHRRdH1oVAdq9fcyOo13+5U2ltzcznBoBmuLZFJgiAI3SfDElVUX7+R2tqD34Zj9JIyRA+6G4jNJMTFGpmkmsO8MHQe37r2Ozw3Yhyq1qqXlN5m33GWim4b9tdyXqsIpNPzMpiTMTgLljzz2W5OvePdmIe4odmpPHbtEVx/3NhOp5rNGpbJOEsE2L8/6Tg66TcvrmNbRCPJpuBvX5rLwrGd06vqCsWZqdz3xdk8d/0CjpsQm6a2bHsll9z/MQt++wZ3vmGJ7HfZ+dOls7hgnBPbIHUwCkIiiIlMauVMyss9HogV4a6xVHOL50zSWkOTObFn92VjtylSnKbLJtkquiXCmfRz4AxghVLqU6XUt5VShyml4qpKKaXcSql5SqkfKKVWAcuAU4GfJWAsQhKgaZ3mZkQm2e2pTJzwK6ZMuRuHwzSGSkufZsknZ1JTs7LDfq0pbk5nNi5XdmIHLgiCMIjwekfFOIR27f7XQfepqvok+jkzQ8S3u4HYTEIbtNZUWQS4CYRRQFMk3cFWY+rtxHMmWSOTqhoC5GHnqCzD8ZFmt/Gj0YOzzPu9b23ihn9/FhONc+7MYl74xkJmDetaVKVSiovnmNFJTyzbRXMwvnbJexvLefhDU8rh2qNHM2dE79qsU4ozeOCKOTz11fkcNS7WabW32iw1PirPyzNfP5JTpkrFNkHoKTHOpF270M3mtdrrHUdKSnGMM+mwfWu5bM2L5DZUxU1z083NKEuQuNNnXKe8ruSt6NZxbdBOoLW+VSn1J+Bm4DLg9xj+hGal1HagEqgF0oFsYHjkuAqoBu4Afq21LovTvTAA8RObp+9zxPos84ecQnraNFav+RbV1UbKRGPjdpYuu4DRo77NsGFXA4pQqIFQqJ5gsI5QqI4DB96K9iFRSYIgCD2npPjS6HV4375nGTvmhzidbR9WAfzN5TQ2bosuZ0olty4jNpMQj5pgiJDlAaKlmpvyh9Ap9nYrubWQHanoVl5nPMhs3FfLXyeP4NUDNcxM9zAi1d27XyAJqfMHufP1jdHlNLeDX5wzhbNmFHe7z3NnFfObl9bRHAxTXtfM62v3tXHK1DQF+O7jK6LLEwrSuOH4sd0+ZleZOSyLh780l0+2VXDbKxv4cIupcXfipHz+cOH09qtICYLQJVxDh4LDAcEghEI079yJe7TxjKqUIjf3OIr3vw7AuMod3PLhg9jRTCvfzJ6z5rbpL1Qfm6njTMsBwOO2cyCSWZtskUk9diYBaK33Azcopb4PXAicjiEUOS5O81LgXeB54L9a66Y4bYQBTCOxIbMtkUlWUlOLmTXzX2zbdjdbt90DhNE6yKbNv2XrtrsIhZqIdUnFIpXcBEEQek5e3sk4nT8nEKgkHG6itPQphg69PG7baotekttdQEpK4rQ/BhNiMwmtqQxaHg60BqszKRDG1mhujxeZBDBmiI/yOkPodeP+OuaPyeX8gsEbwf3iqr00Rc5jRqqT565fwNDsg2sjdUSmx8UpUwqileAe/WRnG2fSz55dw55IJJDTrrjtwhlxK8T1NnNGZPPol+fxweZynlu5l2nFGVx42FBsPaggJwhCLMrpxFVSQvO2bQD4t2yJOpPASHUr9P4LmwpxybpXsWPMGkyu2EZzxV4g1tEcrKuIWXZ4jWv4IR2ZZEVr3Qj8PfJCKZUHDAEyMGbU9sts2qGP1ZnkUJDSzo3LZnMwatQ3ycqaz+o138LvN8onhkINBz1Gevr0xAxWEARhEGO3uyksPI8dO+4HjFS3kpLL4gr1ttZLGqxivolCbCahhQqL+LYzTNSKUv5wjF5SmtvB0HbEosflp/HRFuNBxFp+erDy5Ke7o59Pn1bYY0dSCxfPGRZ1Jr27sYydFQ3Rvl9ds4/Hl+2Ktr3huLFMasf511fMH53L/NG5/ToGQTiUcY0cGXUmNW/dFrMtM3MOKa4UDm9cxeH71sZsK/70XbjgqJh1wVozklA7NU63EYlqreiWbJFJidBMahetdZnWerXW+oPIuxhFg4AmizMpzW4/6ANHVtZcDp/7PHl5J8XdrpQDhyOTlJRivN5xlBR/kYKCsxI6ZkEQhMFKcdHF0c8NDZtidJGsVFeZziRJcUs8YjMNXqzi2ynatJmUP4TN4kyaWJTebmSJVTdp4/6DFzXpCz7YXM7jy3bR0MfVh3ZXNfLRVvOhLJEV1OaNymZkriFmrjX8d+lOACrqm/nBk6b25/ShmVx7tEgyCMKhjquDim42m4ucnKO4YO1bbfbL+vDNNlV0A5bIpLAbbDYjRdlr0VdKtmpuCY1MEgSIjUzyOjrnr3Q6M5k29V4aG3cTDFZht/twOLzY7WnYbC6ZARcEQeglPJ6RZGctoKLyPQB27/kXWVmxufyhUAO1daujyyK+LQiJo9ISmeSzKaJ1x5pCnUpxAxhrqei2cV8tWut+s5201vzmpXX8+e0tAPz1nS389bLDGJaTmOigg/H08t20PKONyPEwa1hmwvpWSnHRnKH85sV1gOFMuuG4sfzo6VVRzSq3w8YfLpiOw96rc/aCICQBbqsI95YtbbZnVk5k4vbX2qx3lu6madUqUqdNi64L1VVZOjavHzGRSf5BFJnUGqXUfUqpLyulZiulXH15bKHvaGwVmdQVUlOLSUubjMczHJcrF7vdLY4kQRCEXqa4+JLo5/37X6K5uTxme3X1crQ2DBi73YfPN75PxzcYEZtp8GB1JqVb7CbVHEJZKrlNKmzfmTTOEplU2RCIOjb6mlBY88OnVkUdSQDr99Vy5j3v8cGm8g72TAxaa55abqa4nTOzJOF25PmzS3DajT731fj57uMreWFVaXT7906ewBiLc08QhEMXa0U3/7ZtbaKN9L/NiMVNGcWsyhkVXa5+7rmYtsH6SnO/FNNNY9VMGlRpbnEoBn4DLAFqlVLLlVL3K6W+qpQSEZxDBKszKZ74tiAIgpBc5OYei8s1BACtA+zd+0TM9qpqU3w7M2MWSsm1vQ8Qm2mQUGlJc8uxPDSohhC2etPRFK+SWwvZXhc5XtPnuHF/3+smNQfDfOPfy3l0yc4226oaAnzxwSX87f2tbR62Esmq3dVssqT5nTOz+9Xb2iPX5+aESfnR5SctzqvDR2ZzxfwRCT+mIAjJiWuU6RwKV1cTqjQdQk3r11P/+tvR5X+NP4E3h86KLte88CI6ZF7/Q/U10c/KktrmcVs1k5Irza2vnUlPAzuBK4AvAv/DqGJyO7BUKbVGKbWoj8ckJJgYZ1In09wEQRCE/sNmc1JUdGF0effuf6O1WVHTqpeUIXpJfcXTiM00KLAKcOe5zbLttvogkeI/uOw2xuZ3HO1i3b5xX9/qJjU2h7jm4aU8v3JvdN3s4Vn8+typuCO2YCisueXZNXzviZX4g70zu24V3p4zIqvXUusunjOszTqvy87/XTBdKqYJwiDCkZWFPcN09FtT3crv/VP085aMQj4snMx7RVMJRCbkQuXlNHz8cbRN0OJMItV0JsVUcxvkzqSfAl/SWj+itf6v1vqnwBiMsreXAo8DLyilZvTxuIQEEiPA3Q/lUAVBEISuU1x0ES1mQWPTDioqDA2lcDhIdc3yaDvRS+ozxGYaJFRaHCtFnvgZjeMKfDgPosEzdohVhLvvIpOqGwN88YGPeXuDqRl/1Lg8HrlqLovnDuPxa+dTmJES3fbfpbtY/JeP2F/TlNBxBEJh/rdiT3Q5kcLbrVkwJpeSrNSYdT8+fVLCqsYJgjBwiEl1i4hwN23YQO3LL0fXvzp9JihFrcvLsnxTKqD6WTPVLVRvmQRIMe8FHmua22DWTAKygYB1hda6DrgZ+IbW+icYM24/7+NxCQmkISbNTSKTBEEQBgIpKUXk5h4bXd69+18A1NWtJRRqAEApJ+np0+LuLyQcsZkGCVbNpBJvStw2kwvbT3FrYZwlMmlDH0UmldX6WfyXj1i63UztOG1qIfdfdlj0AWhqSQbPfP1IZg/Pirb5dEcVZ979Pit2ViVsLG+vL6Oi3tCKcjlsnDq1MGF9t8ZmU1x6+PDo8jHj87hoztBeO54gCMmLNdWtees2AA7cd190nXvsWA5MM1Nj3x46M/q59pVXCDcZjvVwQ310vUo1nUleS5rbYI9MegW4Mc76CqDlrP4bmN1nIxISTlMPBLgFQRCE/qO4eHH0c/mBN2hq2ktVtZnilpY2Bbs9Nd6uQuIRm2mQYE1zy09xkpbSttjy5OL2xbdbGGsR4W6p6Nab7K5q5MI/f8iavWZqxsVzhnLn4pm4WskcDElL4V/XHM7FFodLaU0TF/z5Q+54bSPVDTF+025hFd4+YWI+GanODlr3nC8fNYpvHj+WLx81irsWz5SCMYIwSHGNHBH93LxlC/7Nm6l58aXoutyvXsfEouzo8oqSMSiPYUuF6+upe/sd47PFmWRLMScWPCLAHeV64BSl1PtKqeOUUhlKqRKMWbUWtb564ODTL0LSYtVM8opmkiAIwoAhJ3shKSlGaojWIfbsfYwqi15Spugl9SViMw0SrALcWU47Q9LcbdpMLuqEM8lSQayyIcCB+t6r6FZa3cT5f/qAreXmw89XjhrFr8+dir0dzSC3w86vz53Kz86aHG3THAxz+2sbmP+b1/n1i2vZX9u91LfqxgCvrt0XXT53VuKFt1tjtym+efw4fnjqRNJSetdxJQhC8uK2pLk1b91K+Z/ug4gz3zVmNGknncSMkZPM9qkN2OaZums1kapu4cbG6LoWZxO0ikzyD+LIJK31bowZtFLgZYzZte3AqZizb3OAXX05LiGxNEpkkiAIwoBEKTvFRWZ00p49/6HaEpkkekl9h9hMgwdrmlu200F+emyqm1IwoeDgzqQcnzumotuGfb2nm3TnGxvZW206fm46aTzfP2XCQaNzlFJcdsQI/nHV4WRbxlrfHOLPb29hwW/f5EdPr2JnRUOXxvPCqr00B42iATleF0eNy+vS/oIgCN0lJs1t505qXnghupx77XUom40Tp81jVuF+3HY/J498nf0T10Tb1L31FqGaGnSD6UyypZrOJIlMsqC13qW1Pg8oAE4GTgSGa61bzvpW4Lt9PS4hcTSKALcgCMKApbDofJQyZtn9/lKam8uj2zIyZrW3m9ALiM106NMYCtMYNtPRspyONpFJI3O9eN1tU9/iMcYSnbRpf+/oJtX7g/zvM1Po+qaTxvO1RWO6lOZ1xOgcXr/xaG44bmxMOlpzMMw/PtrBMf/3Ft/6z2eddog9+anpUz1jetFBxcoFQRAShaukBFoCKMJh44UhzJ1+yskAOOw2/vPV8/jrKXexsPgj/BNChNOMa6YOBKh99VV0oz/ap83rjX72ugaRZpJSaqJS6qD9aq3Ltdavaq1f11pXWtZ/rLV+JtHjEvqORhHgFgRBGLC4Xbnk5Z3YZr3HMwaXKzvOHkJ3EZtJsEYlgZHm1joyaXJR5zMZx1l0k3orMun5VXupi6RapLkdXHnkiG71k+V18a0TxvH+94/l5lMnxjjRQmHNU8t3c+Lt7/CTZz4nGAq328+OAw18ss0UAD+vF6u4CYIgtEa5XIZDqRW5112LsmTpOJ3pzJh2hzFhZ4fGWeb1v/q559CNZmqy3WNODHjcg6ua22qgTin1iVLqfqXU9Uqpo5RSmb1wLCEJsQpw+yQySRAEYcBRUnxJm3WZmaLz3AuIzTTIqQyaDwYeuw23zcaQNs6kg6e4tdAXFd3+88nO6OezZhbFpGB0B5/bwTVHjeLd7y3iV+dMZVi2J2b7wx9u55qHl7arFWIV3h4zxMeUToiVC4IgJBJrqhuAa/hw0k89tU279PRpjBnzPQAaDjOd5A0ffYwqtaS5ec2JgWSOTOrZ1T8+LwIzMPL8ZwPR2F2l1E5gheW1Umu9sRfGIPQjEpkkCIIwsMnMPByPZzQNDZvNdaKX1BuIzTTIidVLMh4YWqe5dcWZNGaI+QDSG2luG/fVsmy7GQV08ZxhHbTuGm6HnUsOH8aFh5Xw/Kq93P3GJjZGvsOb68u4+C8f8eAVc8iznB+tNU8uN1Pczp1VLFXVBEHoc1wjR8Kbb0aXc667FuWI72oZWnIFlZUfUa5fI5ijcRxQoDW2Umtkknndt0YmNQXChMK63UIHfU3Cn/S11qdprYsx8vtPBX4MPIkhEDkMOAO4GXgMWJvo4wv9T5NoJgmCIAxolFIUFy+OWZeZOaefRnPoIjaTcMDqTIo8eLROc5tU2L3IpIr6Zsrr/B207jr/tkQlTS5KZ0px4osJOuw2zppRzLPXL+CkyfnR9at2V3Pun95nc5npJNtcHWb7AUOsWyk4e0bvV3ETBEFojXvc2Ohn57BhZJx+erttlVJMmvhbUlKLaTwsfgqvw2deW62RSQANSRSd1GthI1rr/Vrrl7TWv9JaX6C1Ho5RdeT5SJNHgdd76/hC/xAGGpVEJgmCIAx0CgvOxenMASAtbTIpKaJD0luIzTR4qQyYaW5ZTsOZND4/LfrwMLU4gxyfO+6+8cjxuWOqpG1MYKqbPxiKEbq+eM7QhPUdjxSnnXsvnc0V80dE1+2saOS8P33A0m0VAHywxzx/R4zKoSgztXU3giAIvU76ySfjnT8f57BhFP36V+1GJbXgdGYyZfKdNM2NH2Hk8GZGP7dOJU6mim69kebWLlrrZcAZSqk/AidghHQLhxBNrZZ9dolMEgRBGIg4nRkcNvs/VFR+SF7uCZI60seIzTQ4sKa5ZUXS3DI8Th6+ai7vbCjn3Fldj7QZO8THx1sNZ8vG/bUcMTonIWN9dc0+KhsCAKQ4bZzZB1FAdpvip2dMoiQrlV88bwTnVTUEuOT+j7liop1PSs2HqnNFeFsQhH7ClpLCsAcf6NI+GRkzGL7wJqqLf49zd2wAht2XFf3scthw2BTBSOXP9vTj+oP+Chv5HjAEuKmfji/0EtYUNwCfQyKTBEEQBioez0hKii/B7c7r76EMZsRmOoSJF5kEMHt4Nt86YRzDc7zxduuQsTEi3Imr6GYV3j51aiEZqc6E9d0RSimuXjiKuxbPxBWJeG8OhvnLqgD1kWeqFKeNk6cU9Ml4BEEQEsWwoVehjh7VZr0zLbZ6rseS6pZMkUn98qSvtfYDHwOLD9ZWGFhYxbddSuG2iTNJEARBELqL2EyHNhVxIpN6yrh8U4Q7UWluOysaeHdjeXQ5kcLbneWM6UU8ctVc0lPaJlacPLkAn7tPEy4EQRB6jFKK0Vfc1ma9w5cbs+y1XN8O6cgkpdStSqmzlVLDD9I0EzhYG2GAEVPJTaKSBEEQBKFdxGYSrJFJ2c7EOEPGWiq6bUxQRbf/LjWjkkbleZkzIquD1r3H4aNyeOK6+RS30kY6R1LcBEEYoHiGTcQ1Y3zMOoc3tvBCskYm9YYL/8dEStsqpaqBz4DlkfcVQBlwOjAf2NILxxf6EaszKU30kgRBEAShI8RmGuRUBi3V3BLlTGpV0a2s1k9eWudFvFsTDIV5bGms8HZ/aqiNzU/jqa/O58K732BbjWb28CyOTJAulCAIQn+QffZiSj+7Jbps93hitsdEJiVRNbfecCZdDkwHZgIzgGMiLx2n7V964fhCPyKRSYIgCILQacRmGuTEpLk5EjMJl+tzk+tzU17nB+BfH+/ghuPHHmSv9nlnYxmlNUaJFYdNJYXQ9ZD0FH50uJs9dZqLT5uHQ6oHC4IwgEk76UT233Yb4Zoa3GPHoFyumO0xkUn+QzgySWv9CPBIy7JSahiGkTQTmAqUYMy0PaW17prkuZD0NElkkiAIgiB0CrGZhPYEuHvK4rlDueuNTQD85Z3NfGHeMHJ83YtOenSJmeJ2wqR8crvZT6KxKUVJmsIlk5eCIAxwHFlZDHvwQerefouMM85os93rGjyRSTForXcAO4BnevtYQv9jjUzyijNJEARBEDqN2EyDixBQHbQ6kxJnN11z1Cge+Wg7VQ0B6ptD3PPmZn5yxqQu97O/pok31u2PLl88t++FtwVBEAYDqVMmkzplctxtHkuaWzJpJokrX0goMZpJMlMkCIIgCIIQl3pidYcSpZkEkJ7i5GvHjIku/+Oj7eyqbOhyP49/uotQ2Mi6LM5MZcGY3IPsIQiCICQaryXN7ZCu5iYMbmI0kyQySRAEQRAEIS61FpvJocCXYN2fLx4xnKKMFACaQ2Fuf3Vjl/bXWvOfT8wUtwsOK8Fu6z/hbUEQhMGKxyWRScIgQAS4BUEQBEEQDk6dxQzPcjoSXiEtxWnnmyeMiy4/uXwX60trO73/h1sOsP2AEc2kFFxw2NCEjk8QBEHoHF63RCYJgwAR4BYEQRAEQTg4dRabKZEpblbOnVnMmCE+ALSG37+8vtP7WqOSjh6XR3FmasLHJwiCIBwciUwSBgUSmSQIgiAIgnBwrGluWY7emYBz2G3cdNL46PJra/exdFvFQferamjmxc9Lo8sXz5GoJEEQhP4iJjIpiaq5ydO+kFAaJTJJEARBEAThoNRazPDeikwCOHFSPjOHZUaXf/vSOrTW7bYPhTW3v7qB5mAYgFyfi2Mn5Pfa+ARBEISOiYlM8ktkknCIYnUmeSUySRAEQRAEIS7WNLcsZ+9NwCml+N7JE6LLn2yr5M31++O2La/zc/mDS/j7h9uj686bVYJLbDpBEIR+I6aam0QmCYcqopkkCIIgCIJwcGKdSb0XmQQwb1QOR4/Liy7/7qX1hMKx0UlLtlZw6h3v8t6m8ui6Ublerj16dK+OTRAEQegYj1s0k4RBQEyaWy/l/wuCIAiCIAx0Wldz622+e7KpnbSutJb/rdgNgNaa+97ezOK/fsT+Wn+0zWlTC3nm60eS5XX1+tgEQRCE9omJTJJqbsKhSowAt13+vQRBEARBEOJR20dpbi1MLsrgrBlF0eU/vLKBslo/1zy8lN+8uC4aqeS0K245YxJ3XzKTtBRnr49LEARB6JhkrebW+9MgwqAhpDV+Za3mJpFJgiAIgiAI8bCmueX0QWQSwI0njOP5lXsJhjW7Khs5+vdvxjyYFGemcvclM5k5LKtPxiMIgiAcnNbV3LTWKMtzd38hoSNCwqgLxnpJJTJJEARBEAQhPtZqbll9NAE3PMfLJYcPiy5bHUmLxufx3PULxJEkCIKQZFgjk7SGpkC4H0djIk/7QsKoC8X+U/tEgFsQBEEQBKENmr4V4Lby9WPHkGpJq7MpQ0/pgcvniD6SIAhCEmKNTILkqegmziQhYdSGzNmtVJvCaev/0DtBEARBEIRkoxEIqf5xJg1JS+Hm0yYCUJSRwj+vnsdXjxmDTew2QRCEpCTFYcea1dbgTw7dJNFMEhJGXdCMTPJKVJIgCIIgCEJc6lrN52b2sc7kF+YN54zpRXhddhwiSyAIgpDU2GwKj9NOUzCMx2XHHxRnknCIUWeJTEpziGEiCIIgCIIQD2uKW4bDjqMfooIyUqVSmyAIwkDh05+cgMtuSwrh7Rbkib8dlFLzlVIvKKUqlFJ1SqklSqnLe9Df6Uqpt5VS1Uqpmsjn09tpO1wpdX3k+FuUUn6lVLlS6iWl1Jnd/1a9S60lMkn0kgRBEARhcCA2U9eJEd92is0kCIIgdIzbYU8qRxKIMykuSqlzgHeAk4GVwEvAWOBvSqnbutHfN4BngfnAB8AbwBzg2ci21vwTuBM4BtgOPAlsAU4CnunOGPoCa2SSTyKTBEEQBOGQR2ym7mGNTMruQ70kQRAEQUgU8sTfCqVUFvAQYAfO11ofo7U+H5gAbAK+pZRa1IX+xgF/APzAUVrrU7TWZwMzgAPAH5RSY1vttgO4FsjTWi/SWi/WWs8FTgeCkTGc2JPv2RtYNZPSJDJJEARBEA5pxGbqPrXWSm4OcSYJgiAIAw9xJrXlaiADeEZr/WTLSq31PuC7kcUbu9DfDRjaVPdprT+09LcB+GVkW8xMm9b6Eq31n7XW9a3WPw88GFlc3IUx9Am1MZFJ4kwSBEEQhEMcsZm6SZ2kuQmCIAgDHHEmtaUlJ//xONueB5qA45VSKQno77HI+xmdHx4rIu9FXdinT6iL0UySfy1BEARBOMQRm6mb1EqamyAIgjDAkSf+tkyLvH/aeoPWuhn4HEgBxh+sI6VUJjAssrg8Tn+7gHJguFIqo5PjGxV5L+1k+z4jRjNJ0twEQRAE4VBHbKZuYtVMksgkQRAEYSAiziQLSql0IDOyuKudZi3rh7Wz3UpLm8rW4dfd6S9iaF0WWXymE8fvU+pCFs0kEeAWBEEQhEMWsZl6Rmyam0QmCYIgCAMPuXvF4rN8bminTYuB42tne7z+2uurq/39CcgDPgKe6kT7KEqp1e1smrBx40ZGjBjRle7icgAbjZGZtl8S5g50j/scbITDhkPOZhNnXHeQ89dz5Bz2DDl/Paen53DPnj0AQxM3IqEdDkmbqS/sJYB92AhEbKbvEeYWsZm6jFxve4acv54j57BnyPnrOT05h4mwlw45Z5JS6nFgShd3u0xrvQQsMccdHKIrw4m8d2QhdKo/pdT3gYuBCuBSrXWirI5wIBCo3759+84E9Tca4ABsPpCgDgcZoyPvm/t1FAMXOX89R85hz5Dz13N6eg6H0rFDQoggNlOX6BV7Cdi8P0EdDkLketsz5Pz1HDmHPUPOX8/pyTnssb10yDmTgBF0Ije/FZ7Ie22rdTUdtK3rRL8t/Xk7cex2+1NKXQ78CmNG7jSt9ZZOHDsGrfXkru7THVpm9PrqeIcacv56hpy/niPnsGfI+es5cg77lBGIzRSD2EsDBzmHPUPOX8+Rc9gz5Pz1nP4+h4ecM0lrfVgP9q1RSlVjlLktAdbEaVYSed/RiS5b2mQppbztaAB02J9S6izgASAAnKu1/qgTxxUEQRAEQegQsZkEQRAEQegukqDYlpYysrNab1BKOTHCwf3A+oN1pLWuwjR4ZsbprwTIBXZoravjbD8G+E9k8VKt9SsHHb0gCIIgCELfIDaTIAiCIAxSxJnUlucj7+fH2XY6Ronb17XWTQno74LI+3OtNyilZgP/A1zA1Vrrxzt5PEEQBEEQhL5AbCZBEARBGKSIM6kt92Pk/Z+llDq3ZaVSagjwu8jiba13Ukqti7yKW226AwgB1yql5lnajwVujmy7s1Vf44EXgTTgBq3133r6pQRBEARBEBKM2EyCIAiCMEg55DSTeorWukIp9SXgv8DjSqm3gXLgeCATuFNr/XqcXVsELJ2t+luvlLoJw5h6Vyn1KtAMnAikAjdqrVuHf/8bo5xtGTBbKfW3OMdbp7X+TTe+oiAIgiAIQo8Rm0kQBEEQBi8qcRXmDy2UUkcCPwLmYYRNrwXu0Vo/1E77lhM5Umu9Lc72M4CbMHUAPgN+r7X+X5y224DhBxni21rrYw72PQRBEARBEHoTsZkEQRAEYfAhziRBEARBEARBEARBEASh04hmkiAIgiAIgiAIgiAIgtBpxJkkCIIgCIIgCIIgCIIgdBpxJgmCIAiCIAiCIAiCIAidRpxJgiAIgiAIgiAIgiAIQqcRZ5IgCIIgCIIgCIIgCILQacSZJAiCIAiCIAiCIAiCIHQacSYJ7aKUSlFK3aqU2qCUalJK7VFKPaiUKulGX5lKqT8qpbYrpfyR9zuUUpm9MPSkIRHnMHLuLlFK/UsptUYpVa+UqlVKfayUukEp5ezN79CfJPJ/sFW/Y5VSjUoprZR6KVHjTUYSfQ6VUmOUUn9VSm2L9FemlPpAKXVToseeDCT4OniyUupFpVS5UiqglNqvlHpOKXVcb4w9GVBKzVZKfV8p9aRSanfkN9fUg/4G5b1ESH7EZuo5YjP1DLGZeobYSz1HbKbuM2DtJa21vOTV5gWkAO8DGtgD/Af4OLK8Hxjdhb5ygA2RfTdH+vo8srwRyOnv75vM5xD4RWSfELAU+DfwOtAUWf8u4Onv75us56+dvt8AwpG+Xurv7zpQziFwDtAYOXfLgEeBV4C9wKb+/r7JfP6AGyP7hSO/2X8DSyLrNHBtf3/fXjqHT1u+Y8urqZt9Dcp7ibyS/yU2U/KcQ7GZxGZKhvM32OylRJ/DwWgzDVR7qd9PnLyS8wX8LPIP9wHgs6xv+XG/3YW+Ho7s8wTgsKy/M7L+7/39fZP5HALfB34JFLdaPxbYHunrV/39fZP1/MXp96rI/n8+lA2jRJ9DYDrgB8qBBa222YDD+vv7Juv5A/Ii584f59ydFzGW6q3HOFRewPeAW4HTgfweGkeD8l4ir+R/ic2UPOdQbCaxmfr7/A1GeymR53Cw2kwD1V7q9xMnr+R7AU6gMvLPNjPO9hWRbbM70VcBxuxQM5Dfapsbw1MdbL1toL8SeQ4PcpzFkX629vd3HgjnDxgCVACvAscc4oZRQs8h8E6k/en9/d0G2vmLGAYaeLGd7Z9Fts/t7+/dB+e1W8bRYL2XyCv5X2IzJdc5PMhxxGbqWr+DwmYSeym5zqHYTNHvOSDsJdFMEuKxAMgENmutl8fZ/njk/YxO9HUKhhf+Ha31PusGrbUfeBawR9odSiTyHHbEish7UQ/7STZ66/zdCaQC13V/aAOGhJ1DpdREYCGwQWv9XMJGmNwk8n/Q38ljVnSy3WBksN5LhORHbKaeIzZTzxCbqWeIvdRzxGZKHvr0PiLOJCEe0yPvn7az/dNW7fqqr4FEX33vUZH30h72k2wk/PwppU4FLsIIb9/Ug7ENFBJ5DlvEDl+NiCterpS6Syl1p1LqaqVUeo9Gmpwk8vx9AlQDxyqlFlg3KKXOBaYBHwyS/8vuMljvJULyIzZTzxGbqWeIzdQzxF7qOWIzJQ99eh9xJKIT4ZBjWOR9Vzvbd7Vq11d9DST66nvfEHl/pof9JBsJPX9KKS9wL7Ae+G3PhjZgSOQ5nBx5b8QILx7favuvlVLnaa3f6dIIk5uEnT+tdZVS6mrgn8A7Sqn3gd3ASGAO8BJwRY9Ge+gzWO8lQvIjNlPPEZupZ4jN1DPEXuo5YjMlD316H5HIJCEevsh7Qzvb61u166u+BhK9/r2VUtcCxwNVwG+620+Skujz9wtgOHCd1rq5JwMbQCTyHGZF3r8JZAPnYoQzjwf+BeQCTyulCrsz0CQlof+DWuvHMUKKD2CEg18EzMXIXX8jsl5on8F6LxGSH7GZeo7YTD1DbKaeIfZSzxGbKXno0/uIOJOEeKjIuz7I9r7uayDRq99bKXU0cEek/y9prff0pL8kJGHnTyl1GHA98LDW+s2eDmwAkcj/QXvk3QF8QWv9lNa6Wmu9QWt9KUZIchbwte4NNSlJ6G9YKfVtDBHTdzBCtH2R9w+B32OUbRXaZ7DeS4TkR2ymniM2U88Qm6lniL3Uc8RmSh769D4iziQhHrWRd2872z2R97o+7msg0WvfWyk1DXgacAE3aK2f6vLokp+EnD+llAP4K0bu9XcSM7QBQ2/8jndrrV+Js/2hyPsxnRvagCBh5y/yIPN/GCHvF2itV2mt67XWq4DzgeXAeUqpE3s25EOawXovEZIfsZl6jthMPUNspp4h9lLPEZspeejT+4hoJgnx2BF5L2lne0mrdn3V10CiV763Umo08DJGyOwtWuu7ujW65CdR568EmIEhtvmYUjHO+MzI+1yl1FtAndb69K4ONIlJ5P/gtsj79oNsH9KJvgYKiTx/l0Xen9Rah60btNYhpdSTwEwM4zKe8SkM3nuJkPyIzdRzxGbqGWIz9Qyxl3qO2EzJQ5/eR8SZJMSjpXTqrHa2t6xf2cd9DSQS/r2VUkUYIZ8FwB1a61u7P7ykJ9HnryDyikcWcDTGTNyhRCLPYUuZ1+x2tudE3g+l2fJEnr+WG3dNO9tb1rd3foXBey8Rkh+xmXqO2Ew9Q2ymniH2Us8Rmyl56NP7iKS5CfF4H+MmMVopNTPO9vMj7891oq+XgDCwUCkV44VXSrmBMyLbX+z+cJOSRJ5DlFJZGLNrIzFCZL+ViEEmMQk5f1rrbVprFe8FLIo0ezmyLjNho08OEvk/+DqGYN9opdTQONuPiby3V4Z0IJLI89dShvqwdrbPibxv6/ToBh+D9V4iJD9iM/UcsZl6hthMPUPspZ4jNlPy0Kf3EXEmCW2IVG64O7J4d6REKABKqRsxBNDe01p/Yln/daXUOqXUr1v1tRd4FCNX/d5IPnYLvwPygH9prUs5hEjkOVRKeYAXgCnAf4FrtNbtiaodEiTy/A1WEvw7bgDuApzAn1r1dTJwOYbQ31966/v0NQn+H3w68n6pUuoM6wal1FnAJRg39kNRy6NLyL1EGGiIzdRzxGbqGWIz9Qyxl3qO2Ex9T7LcRyTNTWiPX2CUUJ0PbFRKvYtRJvRwjHKMV7Zqn4tR9jJeqctvAvOA84B1SqmlwGSMG/1mDt0Zo0Sdw19inL8QEAQeaJXHDoDW+ooEjj0ZSOT/4GAlkefwVmAhcFqkr48xcv7nYUxM3Ky1XtIbX6IfSdT5exp4DLgA+F/kGrgVY9a8ZebtZq31+l74Dv2KUuo04MetVruUUh9Zln+utX4+8lnuJcJARGymniM2U88Qm6lniL3Uc8Rm6gED1V6SyCQhLlrrJoyQ1p8DDcDZwAjg78BMrfWmLvRVjhGSeBeGl/QcIAPDgz03sv2QI4HnMCvybsfwxl/ezuuQIpH/g4OVBP+Om4BjgZuBKuAUjBvTm8DpWutfJXDoSUGizl9kVvwi4CqMMrdjMK6DIzBm0E85FM9fhDwMQ7LlBUZZWuu6vM50NFjvJULyIzZTzxGbqWeIzdQzxF7qOWIz9ZgBaS+pQzzyUxAEQRAEQRAEQRAEQUggEpkkCIIgCIIgCIIgCIIgdBpxJgmCIAiCIAiCIAiCIAidRpxJgiAIgiAIgiAIgiAIQqcRZ5IgCIIgCIIgCIIgCILQacSZJAiCIAiCIAiCIAiCIHQacSYJgiAIgiAIgiAIgiAInUacSYIgCIIgCIIgCIIgCEKnEWeSIAiCIAiCIAiCIAiC0GnEmSQIgiAIgiAIgiAIgiB0GnEmCYIgCIIgCIIgCIIgCJ1GnEmCIAiCIAiCIAiCIAhCpxFnkiAIgiAIgiAIgiAIgtBpxJkkCIIgCIIgCIIgCIIgdBpxJgmCIAiCIAiCIAiCIAidRpxJgiAIgiAIgiAIgiAIQqcRZ5IgCEKCUUrNUUpppdT7HbT5aaTNj/pybIIgCIIgCMmEUuo/EZvot3G2TVBKNSilapRSo/pjfIIgxEdprft7DIIgCIccSqmlwGxgitZ6dattNmALUAIM11rv7ochCoIgCIIg9DtKqSxgJVAEHKe1fiuy3gl8DMwErtRa/62/xigIQlskMkkQBKF3+HPk/eo4204EhgMviCNJEARBEITBjNa6ErgssviwUioz8vkXGI6kx8WRJAjJh0QmCYIg9AJKKS+wBwgAxVprv2Xb48B5wJla62f7aYiCIAiCIAhJg1Lqd8BNwKPAX4DXgVJgqta6oj/HJghCW8SZJAiC0Esope4FrgMWa63/HVk3BNgFlAHDtNahfhyiIAiCIAhCUqCUcgEfYUQj1QBpwIla69f6dWCCIMRF0twEQRB6j/si79dY1l0BOIEHxZEkCIIgCIJgoLVuxrCTANKBu8WRJAjJiziTBEEQegmt9UqMGbZFSqnRkdVXARp4oN8GJgiCIAiCkJxcZPk8M1K0RBCEJER+nIIgCL3LfYACrlJKHQ2MA17VWm/r11EJgiAIgiAkEUqphcD3MTQn3wAWRJYFQUhCRDNJEAShF1FKpQK7gSbgHYwZtwu01o/368AEQRAEQRCSBKVUOrASGAacDKyKvNKB+Vrrpf04PEEQ4iCRSYIgCL2I1roReBgoxHAklQHP9OugBEEQBEEQkot7geHAXVrrV7TWezE0J53AP5VSnn4dnSAIbRBnkiAIQu/zZ8vnv2mtA/02EkEQBEEQhCRCKXUxcCmwGvhey3qt9VPAQxgSAbf1z+gEQWgPSXMTBEHoA5RSu4EiYLzWekN/j0cQBEEQBKG/UUoNxUhv8wCHa60/a7XdB6wARgFnaa3/1+eDFATh/9u5QxuEoSgKw6cJs6DQFShmAcsEzMEmTICoZBo8D1OJuElpXtJ8n3n26D+3/UlMAljZMAzHJFOSZ2vt1HkOAADAIj5zA1jfbX7vXVcAAAD8gcskgBXM10iXJIckY5JXkrG19uk6DAAAYKFd7wEAG7VPck7yTvJIchWSAACALXCZBAAAAECZfyYBAAAAUCYmAQAAAFAmJgEAAABQJiYBAAAAUCYmAQAAAFAmJgEAAABQJiYBAAAAUCYmAQAAAFAmJgEAAABQJiYBAAAAUCYmAQAAAFAmJgEAAABQJiYBAAAAUCYmAQAAAFD2BeKmg7dQgTiaAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1200x450 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_1 = plt.figure(figsize=(8,3),dpi=150)\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "plt.title(\"residuals from 3 different dim x\")\n",
    "for j in range(ntest):\n",
    "    for i in range(3):\n",
    "        plt.plot(x_grid,residual[j,i*x_grid.shape[0]//3])\n",
    "        plt.ylim((-0.02,0.02))\n",
    "plt.xlabel(\"y\")\n",
    "plt.ylabel(\"$u_g(x_{0,1,2},y)-u_p(x_{0,1,2},y)$\")\n",
    "plt.grid()\n",
    "        \n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "plt.title(\"residuals from 3 different dim y\")\n",
    "for j in range(ntest):\n",
    "    for i in range(3):\n",
    "        plt.plot(x_grid,residual[j,:,i*(x_grid.shape[0]//3)])\n",
    "        plt.ylim((-0.02,0.02))\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"$u_g(x,y_{0,1,2})-u_p(x,y_{0,1,2})$\")\n",
    "plt.grid()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9a6174ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor(2.1748e-05) tensor(1.5135e-06)\n"
     ]
    }
   ],
   "source": [
    "v = torch.zeros(ntest)\n",
    "m = torch.zeros(ntest)\n",
    "for i in range(ntest):\n",
    "    v[i] = torch.var(residual[i],unbiased=False)\n",
    "    m[i] = torch.mean(residual[i])\n",
    "print(torch.mean(m),torch.mean(v))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "03379a50",
   "metadata": {},
   "outputs": [],
   "source": [
    "mse = MSE.numpy().reshape(1,MSE.shape[0])\n",
    "l2 = L2.numpy().reshape(1,L2.shape[0])\n",
    "loss = np.concatenate((mse,l2))\n",
    "np.save(\"data/fno_loss_2d.npy\",loss)\n",
    "torch.save(model,'model/fno_2d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5cc08ea6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}