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tbenst/final-64x64-convnet.ipynb

Created April 29, 2021 19:55
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final-64x64-convnet.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import os, time, errno\n",
"import torch, tables\n",
"import torch.nn.functional as F\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import cv2"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"os.environ['CUDA_VISIBLE_DEVICES']='1'\n",
"savedir = '64x64-convnet'"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"T = 10 # time buckets\n",
"\n",
"hdf5 = tables.open_file('captures/fei/R1_E3_AMES_200min_200f_14l_rgb.h5','r')\n",
"hdf5 = hdf5.root\n",
"\n",
"try:\n",
" dataset = np.load('captures/fei/cache.npy')\n",
"except FileNotFoundError:\n",
"\n",
" data = []\n",
" for i in range(7):\n",
" print('.',end='')\n",
" batch = np.array(hdf5['data'][i*400:(i+1)*400])\n",
" batch = batch.reshape(-1,T,int(batch.shape[1]/T),64,64,6).sum(2).astype(np.float32) # binning\n",
" data.append(batch)\n",
" \n",
" dataset = np.concatenate(data,axis=0)\n",
" dataset = np.moveaxis(dataset,[0,1,2,3,4],[0,1,3,4,2])\n",
" np.save('captures/fei/cache.npy', dataset)\n",
" \n",
"classes = np.array([np.array(itm.decode('utf-8').split('\"'))[[1,3]].astype(np.int32)\n",
" for itm in np.array(hdf5['image_classes'].read())])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Presented targets"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"imgs = hdf5[\"images\"][0:100]\n",
"y,x = np.where(np.mean(imgs, axis=(0,3))>5)\n",
"xleft, xright, ytop, ybot = min(x), max(x), min(y), max(y)\n",
"\n",
"images = hdf5[\"images\"][:,ytop:ybot,xleft:xright]\n",
"\n",
"tiny_images = []\n",
"for i in range(len(images)):\n",
" tiny_images.append(cv2.resize(images[i],(64,64)))\n",
"images = np.stack(tiny_images)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Model"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"class Block(torch.nn.Module):\n",
" def __init__(self, filters):\n",
" super(Block, self).__init__()\n",
" \n",
" self.block = torch.nn.Sequential(\n",
" torch.nn.Conv2d(filters, filters, 3, padding=1, bias=False),\n",
" torch.nn.BatchNorm2d(filters), torch.nn.ReLU(),\n",
" torch.nn.Conv2d(filters, filters, 3, padding=1, bias=False),\n",
" torch.nn.BatchNorm2d(filters))\n",
" \n",
" def forward(self, x):\n",
" return F.relu(x + self.block(x))\n",
" \n",
"class ConvNet(torch.nn.Module):\n",
" def __init__(self, filters=128):\n",
" super(ConvNet, self).__init__()\n",
" self.filters = filters\n",
" \n",
" self.conv_in = torch.nn.Conv2d(10*6, filters, 9, padding=4, stride=4, bias=False)\n",
" \n",
" self.resnet = torch.nn.ModuleList()\n",
" for i in range(101): self.resnet.append(Block(filters))\n",
" \n",
" self.conv_out = torch.nn.ConvTranspose2d(self.filters, 1, 4, stride=4, bias=True)\n",
" self.bias = torch.nn.Parameter(torch.Tensor(64,64))\n",
" \n",
" for name, parm in self.named_parameters():\n",
" if name.endswith('weight'): torch.nn.init.normal_(parm, 0, .01)\n",
" if name.endswith('bias'): torch.nn.init.constant_(parm, 0.0)\n",
" \n",
" def forward(self, x):\n",
" x = x.view(-1,10*6,64,64)\n",
" zx = F.relu(self.conv_in(x))\n",
" for layer in self.resnet: zx = layer(zx)\n",
" return torch.sigmoid(self.conv_out(zx).squeeze() + self.bias[None,:,:])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Fit"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"data = torch.tensor(dataset)/30. # scaling\n",
"targets = torch.tensor(images).float().mean(3)/255."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"train_data = data[[i for i in range(2800) if (i+1)%5 != 0]]\n",
"val_data = data[slice(4,2800,10)]\n",
"test_data = data[slice(9,2800,10)]\n",
"\n",
"train_targets = targets[[i for i in range(2800) if (i+1)%5 != 0]]\n",
"val_targets = targets[slice(4,2800,10)]\n",
"test_targets = targets[slice(9,2800,10)]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Initialized a graph with 30466049 parameters\n",
"Initial Loss: 4.065942\n"
]
}
],
"source": [
"batch_size = 50\n",
"\n",
"model = ConvNet().cuda()\n",
"count = sum([np.prod(parm.shape) for parm in model.parameters() if parm.requires_grad])\n",
"print('Initialized a graph with {} parameters'.format(count))\n",
"\n",
"train_history = []\n",
"val_history = []\n",
"\n",
"model.eval()\n",
"loss = 0.\n",
"for i in np.random.permutation(len(val_data)//batch_size):\n",
" start, end = i*batch_size, (i+1)*batch_size\n",
" x,z = val_data[start:end].cuda(), val_targets[start:end].cuda()\n",
" loss += ((model(x).detach() - z)**2).sum(1).mean()\n",
"val_history.append(loss/(len(val_data)//batch_size))\n",
"print('Initial Loss: {:2f}'.format(val_history[-1]))"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"epoch\ttrain loss\ttest loss\ttime\t\tutime\n",
"0\t2.329604\t4.019663\t23.765071\t0.800390\n",
"1\t1.278133\t2.181040\t24.166732\t0.812580\n",
"2\t1.065705\t1.479056\t24.536466\t0.820822\n",
"3\t0.980110\t1.222847\t25.082625\t0.838110\n",
"4\t0.850692\t1.014971\t25.390574\t0.845187\n",
"5\t0.765293\t0.930823\t25.483544\t0.842734\n",
"6\t0.705511\t0.878064\t25.475939\t0.845190\n",
"7\t0.632511\t0.838755\t25.582600\t0.849792\n",
"8\t0.617654\t0.943655\t25.666464\t0.852526\n",
"9\t0.587151\t0.901017\t25.721429\t0.837825\n",
"10\t0.544225\t0.791886\t25.820598\t0.854889\n",
"11\t0.492069\t0.765670\t25.871120\t0.855408\n",
"12\t0.470316\t0.801238\t25.905003\t0.850161\n",
"13\t0.446923\t0.819011\t25.941255\t0.859599\n",
"14\t0.410185\t0.735115\t25.913767\t0.836210\n",
"15\t0.417009\t0.754366\t25.962221\t0.859549\n",
"16\t0.402044\t0.727509\t25.937635\t0.849061\n",
"17\t0.376369\t0.686057\t25.960482\t0.861066\n",
"18\t0.371370\t0.753358\t25.922855\t0.855642\n",
"19\t0.364879\t0.758194\t25.953799\t0.859832\n",
"20\t0.411386\t0.836066\t25.952577\t0.849483\n",
"21\t0.356535\t0.685361\t25.964458\t0.859338\n",
"22\t0.331100\t0.649961\t25.928187\t0.850036\n",
"23\t0.303066\t0.710412\t25.930482\t0.854239\n",
"24\t0.324397\t0.800338\t25.890353\t0.856635\n",
"25\t0.304067\t0.689035\t25.919169\t0.844513\n",
"26\t0.274002\t0.690801\t25.909051\t0.850621\n",
"27\t0.270241\t0.702609\t25.909426\t0.856834\n",
"28\t0.260518\t0.670878\t25.835642\t0.855932\n",
"29\t0.254441\t0.705880\t25.768286\t0.849898\n",
"30\t0.246207\t0.694911\t25.673141\t0.844728\n",
"31\t0.252288\t0.709399\t25.619680\t0.846695\n",
"32\t0.252289\t0.657122\t25.565618\t0.847217\n",
"33\t0.245995\t0.670991\t25.504551\t0.843894\n",
"34\t0.237787\t0.665746\t25.459198\t0.838825\n",
"35\t0.238787\t0.656198\t25.416638\t0.840980\n",
"36\t0.239382\t0.679094\t25.376471\t0.841658\n",
"37\t0.229227\t0.733750\t25.344181\t0.841010\n",
"38\t0.227306\t0.670606\t25.330920\t0.840254\n",
"39\t0.221753\t0.668619\t25.322031\t0.835716\n",
"40\t0.210759\t0.685748\t25.318882\t0.839987\n",
"41\t0.200047\t0.694889\t25.289004\t0.838696\n",
"42\t0.200900\t0.669766\t25.290157\t0.837329\n",
"43\t0.212757\t0.702191\t25.315336\t0.839200\n",
"44\t0.224864\t0.703909\t25.311295\t0.836621\n",
"45\t0.208967\t0.680467\t25.346566\t0.843621\n",
"46\t0.198517\t0.659196\t25.304357\t0.838299\n",
"47\t0.186906\t0.688286\t25.234338\t0.838565\n",
"48\t0.181784\t0.651375\t25.219385\t0.837796\n",
"49\t0.176576\t0.698030\t25.208006\t0.838802\n",
"50\t0.177984\t0.656309\t25.203451\t0.837759\n",
"51\t0.172390\t0.671503\t25.208894\t0.837721\n",
"52\t0.167930\t0.657687\t25.199077\t0.836163\n",
"53\t0.167516\t0.651246\t25.275468\t0.840550\n",
"54\t0.158750\t0.687434\t25.264310\t0.843105\n",
"55\t0.161501\t0.750669\t25.395476\t0.840778\n",
"56\t0.167625\t0.651511\t25.339436\t0.845847\n",
"57\t0.174797\t0.753035\t25.349469\t0.839774\n",
"58\t0.170005\t0.695150\t25.356664\t0.848559\n",
"59\t0.166065\t0.725569\t25.382728\t0.843971\n",
"60\t0.169522\t0.687485\t25.494868\t0.846118\n",
"61\t0.169017\t0.659152\t25.567989\t0.846691\n",
"62\t0.164224\t0.661073\t25.592607\t0.839135\n",
"63\t0.162445\t0.742351\t25.691155\t0.848472\n",
"64\t0.158058\t0.659774\t25.728029\t0.848987\n",
"65\t0.148559\t0.674517\t25.774442\t0.849989\n",
"66\t0.143872\t0.672394\t25.771429\t0.846005\n",
"67\t0.140074\t0.664264\t25.764962\t0.855125\n",
"68\t0.134412\t0.655474\t25.726980\t0.851385\n",
"69\t0.133518\t0.683401\t25.747182\t0.856728\n",
"70\t0.133420\t0.660141\t25.761045\t0.847496\n",
"71\t0.135471\t0.645827\t25.786302\t0.856661\n",
"72\t0.127371\t0.668898\t25.817873\t0.865571\n",
"73\t0.123566\t0.682976\t25.818522\t0.857397\n",
"74\t0.124520\t0.703582\t25.845275\t0.857303\n",
"75\t0.125560\t0.654303\t25.885794\t0.857155\n",
"76\t0.125835\t0.680835\t25.878764\t0.843242\n",
"77\t0.129336\t0.644605\t25.889823\t0.850940\n",
"78\t0.129079\t0.656702\t25.878174\t0.852407\n",
"79\t0.127454\t0.666165\t25.884486\t0.858321\n",
"80\t0.130129\t0.674550\t25.900335\t0.857404\n",
"81\t0.134481\t0.644201\t25.878538\t0.845292\n",
"82\t0.127813\t0.659820\t25.892020\t0.854134\n",
"83\t0.129574\t0.652058\t25.873199\t0.851887\n",
"84\t0.129327\t0.654355\t25.884408\t0.856273\n",
"85\t0.127270\t0.660255\t25.852562\t0.859838\n",
"86\t0.119197\t0.639014\t25.881493\t0.860335\n",
"87\t0.114377\t0.647766\t25.886807\t0.859363\n",
"88\t0.110242\t0.623215\t25.859778\t0.844360\n",
"89\t0.106532\t0.702156\t25.886304\t0.853149\n",
"90\t0.112237\t0.640122\t25.867091\t0.850435\n",
"91\t0.112866\t0.627632\t25.859242\t0.852506\n",
"92\t0.111043\t0.669513\t25.846629\t0.852879\n",
"93\t0.107401\t0.660703\t25.906570\t0.857038\n",
"94\t0.099689\t0.642326\t25.880906\t0.856937\n",
"95\t0.095606\t0.646960\t25.866776\t0.857839\n",
"96\t0.095420\t0.666282\t25.874558\t0.836421\n",
"97\t0.094842\t0.647637\t25.881863\t0.855824\n",
"98\t0.101428\t0.673138\t25.860507\t0.852141\n",
"99\t0.104787\t0.648530\t25.875509\t0.852971\n",
"100\t0.103883\t0.653507\t25.880214\t0.860352\n",
"101\t0.109437\t0.678171\t25.895108\t0.862507\n",
"102\t0.113768\t0.663601\t25.874713\t0.869327\n",
"103\t0.118316\t0.647858\t25.856900\t0.842695\n",
"104\t0.119184\t0.656329\t25.864678\t0.834329\n",
"105\t0.108188\t0.655747\t25.885471\t0.851853\n",
"106\t0.112173\t0.696567\t25.864335\t0.848662\n",
"107\t0.103409\t0.648758\t25.882186\t0.860844\n",
"108\t0.090334\t0.639837\t25.853229\t0.855522\n",
"109\t0.086218\t0.665310\t25.729128\t0.847081\n",
"110\t0.089416\t0.630961\t25.640930\t0.840784\n",
"111\t0.090678\t0.642244\t25.555331\t0.847465\n",
"112\t0.089883\t0.648303\t25.463852\t0.844909\n",
"113\t0.089726\t0.627541\t25.452199\t0.845298\n",
"114\t0.104343\t0.655001\t25.412426\t0.844283\n",
"115\t0.120200\t0.647111\t25.392591\t0.841610\n",
"116\t0.102373\t0.661808\t25.364190\t0.836970\n",
"117\t0.092477\t0.649225\t25.349457\t0.842901\n",
"118\t0.090560\t0.651190\t25.325579\t0.833044\n",
"119\t0.086348\t0.633626\t25.315433\t0.842031\n",
"120\t0.087110\t0.637933\t25.311543\t0.839339\n",
"121\t0.082828\t0.643683\t25.327888\t0.840704\n",
"122\t0.083281\t0.627088\t25.303526\t0.841501\n",
"123\t0.084487\t0.656843\t25.315549\t0.840576\n",
"124\t0.081873\t0.655993\t25.294746\t0.837095\n",
"125\t0.082755\t0.647501\t25.294620\t0.841091\n",
"126\t0.085467\t0.635086\t25.300665\t0.842205\n",
"127\t0.080373\t0.672189\t25.303623\t0.837928\n",
"128\t0.082608\t0.634091\t25.251207\t0.837654\n",
"129\t0.081158\t0.656682\t25.232754\t0.837745\n",
"130\t0.079557\t0.645388\t25.235831\t0.838062\n",
"131\t0.077953\t0.625326\t25.233172\t0.837685\n",
"132\t0.080686\t0.658837\t25.238881\t0.838959\n",
"133\t0.077458\t0.637061\t25.232709\t0.838903\n",
"134\t0.076731\t0.676536\t25.229717\t0.838396\n",
"135\t0.075600\t0.640794\t25.214027\t0.833829\n",
"136\t0.077720\t0.665369\t25.246898\t0.831680\n",
"137\t0.075231\t0.640930\t25.339211\t0.842434\n",
"138\t0.069895\t0.643974\t25.410135\t0.845836\n",
"139\t0.064815\t0.634143\t25.481515\t0.849107\n",
"140\t0.064623\t0.632670\t25.561853\t0.848006\n",
"141\t0.063007\t0.635187\t25.627265\t0.846479\n",
"142\t0.065215\t0.656334\t25.731534\t0.871827\n",
"143\t0.067090\t0.658670\t25.783671\t0.857781\n",
"144\t0.069308\t0.642128\t25.813485\t0.847943\n",
"145\t0.069703\t0.655784\t25.858868\t0.835577\n",
"146\t0.068780\t0.640288\t25.948153\t0.859669\n",
"147\t0.071603\t0.627759\t25.882027\t0.856101\n",
"148\t0.074149\t0.643694\t25.895684\t0.859828\n",
"149\t0.079046\t0.639099\t25.866825\t0.847283\n",
"150\t0.075733\t0.650549\t25.957898\t0.860425\n",
"151\t0.075920\t0.641957\t25.940469\t0.849240\n",
"152\t0.076352\t0.690821\t25.936040\t0.857443\n",
"153\t0.075805\t0.650703\t25.920287\t0.858448\n",
"154\t0.073687\t0.634269\t25.886486\t0.847760\n",
"155\t0.075874\t0.618217\t25.925316\t0.859441\n",
"156\t0.069284\t0.634255\t25.918448\t0.857856\n",
"157\t0.070018\t0.647133\t25.828737\t0.854181\n",
"158\t0.070787\t0.622023\t25.768133\t0.845935\n",
"159\t0.063776\t0.643180\t25.777590\t0.852509\n",
"160\t0.057580\t0.642967\t25.785321\t0.856144\n",
"161\t0.056119\t0.659189\t25.788978\t0.852339\n",
"162\t0.056745\t0.648222\t25.789093\t0.834447\n",
"163\t0.059448\t0.638243\t25.837159\t0.852838\n",
"164\t0.060690\t0.638645\t25.845500\t0.849699\n",
"165\t0.060569\t0.621841\t25.901316\t0.852036\n",
"166\t0.059162\t0.638018\t25.880107\t0.857020\n",
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{
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]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
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"646\t0.006898\t0.585742\t25.270991\t0.841219\n",
"647\t0.007148\t0.595194\t25.263196\t0.829802\n",
"648\t0.007814\t0.584104\t25.273005\t0.838607\n",
"649\t0.008641\t0.579177\t25.226671\t0.836195\n",
"650\t0.008243\t0.585469\t25.226674\t0.838398\n",
"651\t0.008275\t0.587301\t25.217994\t0.829218\n",
"652\t0.008310\t0.587071\t25.224275\t0.838742\n",
"653\t0.007826\t0.592258\t25.224406\t0.839901\n",
"654\t0.008084\t0.583630\t25.222097\t0.839354\n",
"655\t0.007632\t0.584364\t25.229387\t0.839440\n",
"656\t0.007773\t0.583173\t25.226297\t0.839862\n",
"657\t0.007409\t0.587427\t25.220451\t0.837991\n",
"658\t0.007588\t0.587695\t25.222136\t0.839500\n",
"659\t0.007479\t0.596325\t25.238951\t0.838980\n",
"660\t0.007566\t0.584824\t25.228342\t0.840556\n",
"661\t0.007113\t0.592866\t25.246620\t0.841933\n",
"662\t0.006598\t0.578365\t25.254716\t0.839390\n",
"663\t0.006337\t0.585898\t25.248527\t0.839245\n",
"664\t0.006270\t0.578833\t25.254384\t0.839472\n",
"665\t0.007030\t0.584698\t25.258125\t0.837234\n",
"666\t0.006917\t0.581964\t25.283348\t0.837572\n",
"667\t0.007029\t0.586185\t25.273214\t0.841774\n",
"668\t0.008023\t0.588853\t25.268126\t0.840362\n",
"669\t0.008884\t0.586582\t25.269895\t0.840491\n",
"670\t0.008598\t0.599230\t25.262796\t0.839598\n",
"671\t0.007590\t0.587502\t25.280108\t0.839037\n",
"672\t0.007498\t0.587256\t25.273309\t0.838669\n",
"673\t0.006823\t0.585500\t25.275842\t0.839734\n",
"674\t0.006440\t0.581394\t25.269746\t0.841532\n",
"675\t0.006302\t0.583715\t25.285296\t0.840328\n",
"676\t0.006267\t0.577849\t25.259798\t0.837868\n",
"677\t0.006235\t0.583617\t25.228499\t0.837905\n",
"678\t0.006781\t0.593488\t25.223827\t0.837329\n",
"679\t0.006623\t0.585908\t25.227143\t0.839610\n",
"680\t0.006934\t0.585585\t25.231038\t0.839303\n",
"681\t0.008472\t0.585499\t25.233427\t0.839985\n",
"682\t0.008729\t0.593423\t25.229887\t0.839750\n",
"683\t0.010931\t0.583731\t25.233742\t0.841759\n",
"684\t0.012018\t0.597925\t25.244086\t0.844178\n",
"685\t0.013216\t0.581926\t25.235635\t0.840124\n",
"686\t0.015483\t0.587766\t25.231680\t0.838826\n",
"687\t0.016546\t0.594918\t25.240382\t0.837890\n",
"688\t0.017613\t0.589601\t25.235403\t0.839573\n",
"689\t0.014202\t0.588837\t25.262315\t0.839749\n",
"690\t0.011249\t0.581830\t25.262740\t0.838422\n",
"691\t0.008320\t0.592765\t25.293588\t0.838804\n",
"692\t0.006517\t0.582052\t25.267237\t0.841445\n",
"693\t0.005450\t0.581643\t25.264851\t0.839710\n",
"694\t0.004638\t0.577511\t25.257809\t0.841387\n",
"695\t0.004407\t0.578249\t25.286649\t0.840064\n",
"696\t0.004129\t0.583267\t25.277256\t0.838279\n",
"697\t0.003895\t0.579544\t25.293538\t0.843583\n",
"698\t0.003733\t0.577571\t25.291589\t0.841649\n",
"699\t0.003647\t0.586595\t25.292043\t0.839621\n",
"700\t0.003587\t0.578514\t25.277592\t0.837808\n",
"701\t0.003589\t0.589090\t25.277962\t0.841512\n",
"702\t0.003675\t0.580840\t25.255912\t0.841590\n",
"703\t0.003797\t0.583741\t25.261850\t0.839520\n",
"704\t0.004068\t0.582216\t25.235209\t0.839320\n",
"705\t0.004527\t0.587440\t25.240762\t0.839231\n",
"706\t0.005070\t0.582348\t25.227618\t0.838674\n",
"707\t0.005563\t0.601643\t25.229015\t0.840281\n",
"708\t0.006421\t0.589662\t25.216021\t0.836223\n",
"709\t0.007722\t0.586027\t25.227996\t0.839489\n",
"710\t0.011197\t0.589544\t25.223562\t0.838472\n",
"711\t0.013490\t0.587815\t25.226264\t0.838166\n",
"712\t0.017502\t0.599460\t25.232116\t0.835588\n",
"713\t0.020371\t0.604631\t25.224914\t0.837735\n",
"714\t0.019249\t0.589904\t25.229887\t0.837458\n",
"715\t0.018387\t0.597395\t25.224829\t0.830999\n",
"716\t0.014249\t0.586483\t25.241241\t0.837795\n",
"717\t0.010790\t0.588574\t25.250908\t0.837236\n",
"718\t0.007892\t0.589460\t25.264875\t0.840339\n",
"719\t0.006112\t0.581017\t25.284967\t0.841196\n",
"720\t0.005224\t0.585856\t25.275783\t0.841467\n",
"721\t0.004533\t0.580719\t25.254446\t0.840559\n",
"722\t0.004296\t0.582002\t25.267932\t0.837174\n",
"723\t0.004082\t0.578538\t25.280427\t0.836173\n",
"724\t0.003906\t0.578599\t25.267099\t0.841074\n",
"725\t0.003741\t0.582584\t25.270748\t0.841546\n",
"726\t0.003837\t0.577779\t25.309042\t0.838840\n",
"727\t0.003701\t0.588007\t25.257724\t0.835164\n",
"728\t0.003759\t0.582007\t25.256099\t0.839307\n",
"729\t0.003706\t0.581357\t25.276215\t0.839295\n",
"730\t0.003753\t0.582357\t25.289689\t0.840749\n",
"731\t0.003859\t0.585437\t25.253250\t0.840904\n",
"732\t0.003947\t0.582349\t25.231145\t0.839123\n",
"733\t0.004377\t0.579326\t25.225471\t0.839389\n",
"734\t0.004769\t0.584099\t25.227330\t0.839147\n",
"735\t0.004896\t0.580125\t25.226756\t0.838893\n",
"736\t0.004854\t0.582248\t25.222178\t0.838779\n",
"737\t0.005138\t0.582152\t25.232892\t0.839087\n",
"738\t0.005458\t0.579372\t25.224059\t0.837750\n",
"739\t0.005942\t0.579053\t25.222606\t0.838804\n",
"740\t0.006666\t0.583013\t25.233344\t0.837735\n",
"741\t0.009103\t0.587332\t25.231656\t0.836881\n",
"742\t0.011547\t0.584680\t25.233084\t0.835927\n",
"743\t0.013073\t0.590736\t25.234630\t0.836933\n",
"744\t0.012624\t0.584502\t25.237000\t0.840548\n",
"745\t0.012946\t0.583474\t25.228932\t0.838187\n",
"746\t0.010958\t0.589574\t25.241360\t0.838684\n",
"747\t0.009107\t0.584103\t25.255427\t0.839966\n",
"748\t0.007206\t0.580359\t25.277270\t0.841434\n",
"749\t0.005814\t0.577974\t25.270071\t0.840722\n",
"750\t0.004928\t0.578319\t25.271607\t0.840034\n",
"751\t0.004489\t0.582304\t25.270711\t0.839292\n",
"752\t0.004080\t0.580944\t25.278219\t0.838349\n",
"753\t0.004004\t0.584647\t25.248933\t0.838631\n",
"754\t0.004173\t0.585486\t25.286696\t0.839125\n",
"755\t0.004208\t0.586592\t25.289223\t0.843313\n",
"756\t0.004547\t0.578995\t25.275477\t0.839047\n",
"757\t0.005078\t0.579656\t25.253236\t0.838076\n",
"758\t0.005189\t0.586214\t25.260874\t0.838462\n",
"759\t0.005167\t0.581330\t25.272954\t0.839715\n",
"760\t0.005045\t0.579024\t25.256648\t0.839044\n",
"761\t0.005390\t0.580822\t25.227723\t0.838777\n",
"762\t0.006190\t0.584250\t25.242848\t0.839216\n",
"763\t0.006541\t0.587439\t25.225216\t0.837933\n",
"764\t0.006608\t0.582855\t25.235725\t0.839007\n",
"765\t0.007461\t0.586362\t25.238632\t0.837190\n",
"766\t0.008725\t0.587831\t25.233635\t0.839016\n",
"767\t0.009921\t0.590689\t25.231963\t0.838839\n",
"768\t0.013022\t0.588534\t25.235728\t0.839625\n",
"769\t0.013534\t0.593263\t25.230146\t0.839939\n",
"770\t0.014777\t0.587929\t25.242072\t0.840478\n",
"771\t0.014825\t0.591537\t25.245996\t0.840859\n",
"772\t0.014718\t0.580217\t25.232193\t0.837529\n",
"773\t0.016025\t0.590318\t25.238119\t0.840704\n",
"774\t0.012146\t0.586023\t25.237052\t0.839649\n",
"775\t0.008692\t0.580788\t25.255866\t0.839852\n",
"776\t0.007283\t0.587843\t25.250784\t0.842104\n",
"777\t0.007030\t0.578674\t25.250474\t0.838639\n",
"778\t0.006036\t0.575849\t25.278070\t0.841492\n",
"779\t0.004689\t0.578049\t25.279942\t0.829323\n",
"780\t0.004053\t0.581898\t25.316505\t0.842769\n",
"781\t0.004000\t0.584187\t25.290564\t0.839917\n",
"782\t0.003947\t0.575459\t25.268786\t0.841190\n",
"783\t0.003627\t0.580239\t25.278359\t0.837630\n",
"784\t0.003523\t0.580308\t25.281837\t0.839521\n",
"785\t0.003304\t0.579657\t25.305040\t0.841739\n",
"786\t0.003234\t0.577766\t25.289651\t0.841362\n",
"787\t0.003364\t0.576026\t25.276646\t0.831485\n",
"788\t0.003521\t0.584172\t25.269335\t0.837493\n",
"789\t0.003528\t0.579862\t25.237278\t0.836081\n",
"790\t0.003816\t0.580648\t25.241026\t0.838769\n",
"791\t0.003814\t0.582933\t25.234791\t0.839270\n",
"792\t0.003923\t0.587953\t25.227336\t0.838240\n",
"793\t0.004644\t0.578997\t25.223618\t0.838319\n",
"794\t0.004814\t0.592371\t25.218213\t0.829891\n",
"795\t0.005476\t0.584910\t25.231227\t0.836863\n",
"796\t0.006158\t0.608620\t25.226054\t0.839343\n",
"797\t0.006572\t0.590669\t25.228287\t0.841452\n",
"798\t0.006675\t0.584751\t25.240554\t0.839219\n",
"799\t0.006878\t0.580372\t25.230002\t0.839241\n",
"Finished\n"
]
}
],
"source": [
"batch_size = 50\n",
"optimizer = torch.optim.Adam(model.parameters(), lr=.0003)\n",
"\n",
"try:\n",
" print('epoch\\ttrain loss\\ttest loss\\ttime\\t\\tutime')\n",
" t0 = time.time()\n",
" for epoch in range(800):\n",
" model.train()\n",
" loss_train = 0\n",
" for i in np.random.permutation(len(train_data)//batch_size):\n",
" start, end = i*batch_size, (i+1)*batch_size\n",
" x,z = train_data[start:end].cuda(), train_targets[start:end].cuda()\n",
" loss = ((model(x) - z)**2).sum(1).mean()\n",
" optimizer.zero_grad()\n",
" loss.backward()\n",
" optimizer.step()\n",
" loss_train += loss.detach()\n",
" train_history.append(loss_train/(len(train_data)//batch_size))\n",
"\n",
" if epoch % 1 == 0:\n",
" t1 = time.time()\n",
" model.eval()\n",
" loss = 0.\n",
" for i in range(len(val_data)//batch_size):\n",
" start, end = i*batch_size, (i+1)*batch_size\n",
" x,z = val_data[start:end].cuda(), val_targets[start:end].cuda()\n",
" loss += ((model(x).detach() - z)**2).sum(1).mean()\n",
" val_history.append(loss/(len(val_data)//batch_size))\n",
" print('{:d}\\t{:2f}\\t{:2f}\\t{:2f}\\t{:2f}'.format(epoch,train_history[-1],val_history[-1],time.time()-t0, time.time()-t1))\n",
" t0 = time.time()\n",
" \n",
"except KeyboardInterrupt:\n",
" print('Graceful Exit')\n",
"else:\n",
" print('Finished')"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x7fc0c93421c0>]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x216 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(1,2, figsize=(10,3))\n",
"\n",
"ax[0].plot([itm.cpu().numpy() for itm in train_history[10:]])\n",
"ax[1].plot([itm.cpu().numpy() for itm in val_history[10:]])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Final Loss: 36.593761\n"
]
}
],
"source": [
"model.eval()\n",
"loss = 0.\n",
"for i in np.random.permutation(len(test_data)//batch_size):\n",
" start, end = i*batch_size, (i+1)*batch_size\n",
" x,z = test_data[start:end].cuda(), test_targets[start:end].cuda()\n",
" loss += ((model(x).detach() - z)**2).view(-1,64*64).sum(1).mean()\n",
"print('Final Loss: {:2f}'.format(loss/(len(test_data)//batch_size)))"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" os.makedirs(f'final-outputs/{savedir}')\n",
"except OSError as e:\n",
" if e.errno != errno.EEXIST:\n",
" raise\n",
"\n",
"originals = False\n",
"try:\n",
" os.makedirs('final-outputs/originals')\n",
"except OSError as e:\n",
" if e.errno != errno.EEXIST:\n",
" raise\n",
" originals = True\n",
"\n",
"train_idx = 0\n",
"val_idx = 0\n",
"test_idx = 0\n",
"for i in range(len(data)):\n",
" person, pose = classes[i]\n",
" if (i+1) % 5 != 0: # training data\n",
" prefix = f'train{train_idx}'\n",
" train_idx += 1\n",
" elif (i+1) % 10 == 5: # validation data\n",
" prefix = f'valid{val_idx}'\n",
" val_idx += 1\n",
" else: # (i+1) % 10 == 0 (test data)\n",
" prefix = f'test{test_idx}'\n",
" test_idx += 1\n",
" \n",
" recon = model(data[i].cuda()).detach().cpu().numpy()[0]\n",
" cv2.imwrite(f'final-outputs/{savedir}/{prefix}-person{person}-pose{pose}.png', 255*recon)\n",
" if not originals:\n",
" cv2.imwrite(f'final-outputs/originals/{prefix}-person{person}-pose{pose}.png', 255*targets[i].numpy())"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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qtRparZY9on//93/Hvffei+bm5qsa7hM30HwQT6JkMolgMIhXX30VBw4cADDrAQcCASQSCej1etTV1SEajSIYDMJisUCn0yGRSGDXrl0AgO9+97s5IdB8VIk8patForA9cuQIfvSjH+HMmTPIZDK8mfR6PW8knU4HnU4HvV4Po9GIkZERzMzM4Ny5cxgYGMAnPvEJ3HXXXVCpVFd4kMDihYlFobqQ9INQKITe3l78+te/xquvvpojZBUKBdLpNOLxODKZDPR6PRQKBdRqNUwmEyuimZkZHDt2DOFwGHV1dQUFXTGDUq4grjblE/Q+nw9/8Rd/gcHBQQC5a0fco5QLS995/fXXcerUKVy6dAl/8Rd/gVQqVVAhlxNOXywqxcCNRqPYs2cPIpEIgFnZQqhJLBZDNpuFyWRCJpNhpTU9PY2f/exncDqduPvuu69wtq7m867UPbLZLM6ePYunn34aIyMjiEQikCQJjY2NSKfTCIVCsFgs0Ov1SCQSiEQiUCgU7Ax6vV5s374dmzZtwpYtWyrigL7TcjebzeKJJ57Ac889xxG9UCjE1eN+vx8ej4f1COWHU7re0aNHUVtbi4aGBuj1eiiVynlHtSpBc8nuQlHGZDKJ3bt349vf/jampqY4+kI2RqHrkOyZmprCf/7nf2JmZgZf/vKX0dDQUDCdYi4n7J0kUU6ePn0a/8//8/8gGAwCmAWMtFotkskk9Ho9enp64HQ62VidmprCpUuXEI1GkU6nodFo8NJLL+H666/nHNnFpoohr6UqZkmS4PF48PDDD2NychIKhQKpVIqLKuSeYiqVgk6nY9RVoVAgGo0iGo1Cr9dDo9EgkUjgzjvvxNGjR+c04ORjEX/PlwoptlK8DyowOXXqFB5++GE22qni02AwsLGlUqlgtVoRi8W4yCIUCuGVV16BwWDAt771raL3utq0EIONKBwO4+c//zl6e3sRDAZzHBtCDYBZw0Sr1SIajcJisWDp0qVwu92YnJzEjh07cODAAfzyl7/E448/zjmfi22IieEc+f3KoXA4jJdffhmHDh3Cb3/7W87lVCgUcDgccLvdbMxKkgSLxYJYLAYACIVCUCqV3LVifHwcP/jBD/DAAw+UnCteSSqmcPIhJ3IS5YNCoUAkEsFf/uVfMqos39OpVApqtZrTTogod3h8fBzBYBCbN2/GLbfcAkmSYLVay5Ij8rnNh0pdF6LjlY8efvhhXLp0iVMFKN+XjI14PM6GGKH1mUwGHo8HDz74INrb27Fu3bp3rbFWCkhARvz+/ftx4sQJ+P1+xGIxGAwGNDc3w+PxYHp6mo0RclgCgQDLFqVSCZ/Ph6997WvYtm0bOjs7i45FjgRWkuYrN+TXOHr0KJ577jkEg0EolUrEYjEoFAr+nU6nORWA9gdFjvR6PaxWK95++204nU44HA5oNJqyUMNKph/R9cT5EbpZTLZkMhmMjY1hx44dmJqa4rQACndTOz1Ku0omk2yDAGDwJBgM4umnn4bFYsGf/MmfwGq1Fhyf3IkGcttmEQ/nu+fmQpkLGfFEtP+np6chSRL0ej1HNVeuXIk777wTNpuNgR9CohOJBIaHh/HCCy/A5/NBpVJhbGwMkUgEVqu16HOoxDqoSAn0XBtXHmoZHR3FU089xUZrJpPha1DYjphHTALAFj6hTalUivNU4vE4PB7PFfd6Jw23UkKimUwGPp8PO3bsgFqtRiwWQyKRQGNjI/R6PaNpGo2Gw6EGg4EFMhkqu3btwo4dO97ROeejUsciD22Rh/erX/0KJ06cAHA59EJrg/I2KY0knU7nVEu2tLSgtbUVwGwI5PDhw/j85z+fs97y3beStFClk81mEQ6HcebMGezevZuNUTLiZ2ZmEIvF2DDLZrPw+Xx8b/qsmELw+uuvw+v1vivWiTx8VQ7F43F897vfxYkTJ3LWA3AZkaZcVjH1Rh4xSSQS+OEPf4h/+7d/4/zhQkpZLl8qRaVeq5DhSuFNKlALhUIIBoOcC65SqWCxWFiOyPmu0WgwNTWFAwcOcAj1naKFOr2Euj755JOYmppCKBSCWq1GZ2cn2tvb0dHRAZ1Oh3Q6Da/Xy3qjpqaGFXQymUQmk0EkEslZF3IqR2ZUIroz3zUXDAbxyiuvYHp6GlqtFmq1GslkMidNhgqUaM0YjUbYbDbYbDYYjUbEYjFMTU3h/Pnz6Ovry4mCXW2iNSL+zEWEuo6MjGD37t1IpVIwm82oq6uD3W6HTqeDwWBAbW0tHA4HampqYDAYOJ2C1odOp2Pj/le/+hX6+/vzGqjy1zROeW2KPAo4Hz7Q36V+RyS3243/+q//gsFg4AhmU1MTvvjFL+ITn/gE2traUF9fj7q6OthsNtTV1aGurg5NTU1YtWoVPvOZz6C2thYAMD4+PqduqZTcrIjxms/DKPSTyWQwOjrKBoRKpYLNZkNzczMaGxvR3t6ONWvWYOXKlbDb7YwaRSIRxGKxnPwT0YoPh8P4x3/8R67Yly8ieX/HSise+fWKecuisUTN5Y8fP86pE+TxRaNRzi0hQ58Qagr9xeNxNliGh4dZyC7GPK8GieMNBoOYmJhghUKFNcDlRHpqmkxtoIDZHDar1YoVK1bgPe95D9ra2hh1OnXqFM6cOXOFcVKKUTLffMCFGDzpdBoTExMIh8OYmJhg5EytVqOmpob/Jq+dDDVaB4SoEIJCiPXOnTvZGSp3nVRyXc2FxMrvST/ZbBYvv/wy9u/fz2uD1gGtCbVazYUlhKTS9ynkqdPpIEmzueQdHR146qmn2JjJt6eL8aFSqSfl8FeUJaOjo+jv74fX62WHnwx6Ktai9SJJUk4aBfH0kUcegcvlKvm+xd5fCD/EeZVDlB5x4sQJ9PX1MWq2YcMGbN26FStWrMDq1avR3NzMqWfJZBIulwt+vx8AWJbQHtq/f39ensw1xsWSveWuj1Qqhf379+PVV19FKBTCzMwMxsbG2EgnwEShUMBgMKCmpgZLlizB8uXLcf311+PWW2/FNddcg9raWkSjUZw+fRqvv/46I9TljLtSVIgH+SJposwYGxvD0aNHEQgEYDKZ0NnZidbWVqTTaVgsFqhUKtTU1KCuro4PeaHrWq1WTsmiiG8ikcALL7yASCSCdDrNeyqTyVxx+A/ZJnJ+lGOAz8UT+dzz8Ur8O51O45//+Z/x9ttvc3Ru/fr1+PSnP42uri40NzfDbrfDbDbDZDIxDyhNwmg0orGxEZ/4xCdQU1ODN954A2NjYwXnUsn0vHmnDZQqpOT/S6VS2LFjB9LpNGpqarBq1So4nU6YzWZWOkajkQ2Nw4cPs+FGoQ4iCgVSq6gTJ06wkhaNx6uVB1uuAUAG/KuvvopkMomZmRnO500kEmy0KhQKTpugHDatVguDwYBIJAKj0YhsNovdu3fjgx/8IFasWDHvsS62sZvPWCm02Q4ePIi3334757CGTCaTEyKnZ6/Vajnfk1Amu93OCeeTk5PIZrMIBoP46U9/ip/85CdXrItK5zWWw+NCazSTyeCZZ57ByZMnodFoEAqFAABqtRqZTAY2mw1qtRrxeBzhcJiFJDk95PwRTwk12LNnD+6//37YbLYFz3MxSS5nyAmdmZnB7t274XK52AATnRtC6MUwIu0lQmQtFgucTicbKXv27MFXvvIVjI2Noaampmg+X75nuNA1U8hYnisMSK9Pnz6No0ePIpvNcl683+9nOUMUjUYZBJArvGQyCa/XiyVLlhRsiXQ1ZMRCZLbb7cbrr7/OMmPDhg2488470draCp1Oh3A4jFgshqGhISQSCQSDQUxOTmJmZgaRSARms5llL0W+HnvsMfzt3/5tSR1d3k0kSRK8Xi+eeOIJuN1uBkxIb9L+IGfObrdzxIrQRnKUJUlCX18ft+qbmJgo2KB+LsdvoXMSgSs5FZPjsVgMzz33HGKxGBwOB1pbWxmFzmazCAQCsNvtrHNqamrg9XoRjUZhs9lgtVpZd1O078UXX8QXvvCFHGCFfsvTj0iGFZpXpUhuGBcin8+H559/HrFYDGq1Gh0dHbj22mtRV1cHq9XKBj3JTjpli/poA4BOp0NLSwtuvfVWvPTSS9i9ezc2btzIPXEXiyqaVVvKpiaUUKFQYO3atbjxxhthMpm4FRYpp0QiAa/Xi3PnznGolNq9iOFBWmQA+HSQ+vr6nDHJBfRiGCn5cvXyGfji/6mDwssvv8whPvF7pHQSiQQXWxDF43FGUsijGxoags/nK1rh/m5BY4sZdmSAUZsOEhYGg4GRZiD3WD1C03Q6HVKpFJxOJ4dBHA4HGhoaMDU1hUwmA7fbjXQ6Peexw5XMh51LIRf6fyaTwcDAAHw+H6Pt5PUrFAr09PSgubkZg4ODOHfuHCtdQlsp/cTv9zMqK0mzCfrHjh3D1q1bFzy3SlAxBFb+GUmScO7cObz22mvszCqVSi5Cos/Re4QwE5Fz09LSgra2Nmi1Wrz22mtwOp2MuJDzmO/+8r8Xk0o1lCRpto1aNBqFVquFVqvlAxoIfSf+ZLNZ6HQ6zmkEcluxbd++HStXrryiH3C5zvlCSFwPpawNItIvx48fh0KhQFtbGzZv3owlS5awIjYajbjpppuwYsUKeDwejI+Pw2azQaPRYHR0lA+GIaNGqVRix44d+Ku/+quCCrmQEVXs6O1yKJ98KMXIT6fT3HmF0HZgdm+QDNRoNNDr9XA6nVi2bBkaGhpQW1sLo9HIOdGU0jY9PQ2Px4OxsTG43W40NTVxvmepzvp8UfVSKd91yUh3Op1wuVxcBE4pA83NzUin0zh8+DAcDgeA2XoBk8kEnU7HXX+sVis0Gg0DBcCsLp6cnITBYMiJ8ogt+MiQzYcIV3qu8v8Xs3e+//3vIxgMcoSiu7sbdXV13NVIzHMVQUGaG60hlUqF5uZmdHR0YNu2bbj//vvR09NzxXgKAUbzka0VO/anWIhc/AHAyd+rVq1CS0sLowTUFovySpxOJ1paWnIgePpb7n0Rqnbu3Lm8jMi3aBZj89B4il1bHPvw8DB3VSCBQsf1qdVqFiAUGpUkicNapLhTqRSHy/bt28eVtfnmWYnwRKVJPk5JkuByuXD06NErFJder88xWslQy2QyUCqVCAaDSCaT3HQdmK2aXbZsGRtvVOiVL5VEPo530tDPZrMYGRmB0WhEIBDgMQFAXV0dGhoaYDKZsHnzZqxZs4ZDWxqNBk6nEw0NDbzOTCYTC1VCGB577LG89y0l4f+dpEwmg+npaXZkCGmmlAhaE8lkkkN7hBIoFApYLBZ0d3ejvb2dc/p6enrQ1dUFk8nEjmQ+pbuYa6JQ6kQp93S73Th48CBXy1OXFrEPJ7VQk6RZBJ4KlUT5mkql8MYbb3B0oxgVGtdCjbSFfD+dTnMVtEqlQnd3Nzo6OtjRJ6VrNBrR2tqKzs5OrFixAl1dXejq6uKIBp1ERgZoMBjE66+/vqB5LZTmc41QKIT//d//zcl/pus4HA5YLBbU1tZi5cqVWLduHbq7u9Ha2gqn0wm73Q6r1QqDwQC9Xg+LxcIIbDKZxP79+xGJRK5A9ufSffR7ITwpV4fRHqC8f7p3TU0Nenp6sHLlSmzevBk333wz2tvb0dzcjJaWFrS0tGDZsmVspJtMJhiNxpwCrmQyiR07drCBS+kDpMfFVALaa4V0z2JQoeun02n85je/YaDDZDJxKhp9jyJYYloeRTp1Oh1Hp6jHemdnJxvDc40l37jK4cG8jNd8Nyz1BwAaGhrQ09OD1atXc94ikGv4SdJs1e/KlStRW1ubw1BSVLQY6LuZTAY7duy4YozyDVPJxVLIq8xnAIifpcX74x//OKeIggQDoSMAOMRHKRXk4dHiAsDI9L59+xAIBK7YHLRhxFzhueZSKd4UU3KF+Dc6OoojR47wc9fpdIwc0djJmBeFQiqV4hY4dH2TyYTGxka+BynwYmuhEryYaw3I38u3p8bHxzE0NMS5aYQGUX9BqgR2Op2or69HTU0NnE4nbDYb6uvr0d3dzYYazZuMvSNHjlyR91rIeL+ahvxc8mNiYgI/+9nPWBkDYGVBxqu8+ESSZpF5yoV2Op2ora3lU5Q2bNiAJUuWcH9cQl3Fe8+nSKSUueb7uxyeSNJsvuvBgwfZkKD0I+rIQnNvampCXV0d30tEhIhPoVAoJzVnLoUjfm6xqdh9JGnWmT137hySySR0Oh0aGxv5XHoxjYz2DhXoOJ1OrqKXJInrDejvaDSKhx9+uOgYrpYxMhfRvakJ/6lTp9iBo+dqMpmQSqVgs9mwdu1arFq1CkuXLkVDQwMcDgcXaZGeoT1BB+IQUCTuwXzyohCfFkql7MV8cjWZTHIUilor6nQ61NbWwmw2Y+XKlaivr4fFYkFdXR1qa2s5lYIcH8qVJyLjj2wQ0kUkk8iRJrkk6uZKUblrLpvNch9XknUUqQSQk56n1Wphs9lgMpmgVquZB5T3SvcXATY6aKrUsef7PRctKG1ANILy3TDfgtLpdLj//vtx7tw5ztUUQ1fpdJrD5wqFArW1tVi+fDnC4XBOWF003ghRUiqVOHXqVE6eWz7I/J1CHuUPJxAI4OTJk4hGozkJ4DQ3r9fLC6Wrqwtms5lD3zabDR6Ph+F8CgddvHgRPp8PTqcz71xLNbYXOs9CwqTU0B9VS4vPlorZxDGLeTjkJVqtVlbc1MexpqaGjV9S5qJRsphUrrMgCiGVSsVGKzVQVyqVWL58OV5++WWsW7cO586dw7Jly9Dd3Y2DBw+ip6cHdrsdRqMRdXV1LISamppw/Phx+P1+zgUeHx9HW1vb4k2+TJpLcEnSbMRhZGSE5YUoQGk9kIEu5vOZTCasW7eOlTMZ89TftaWlhQ2ad6p/5XwUGhlYXq+X8+Kp3Q0pI6PRiBUrVkCr1aKvrw+Tk5MsTwmdJWVD+dOl5kPnM8DfKcMtFAph165dkCQJq1at4txd2j/5wpYajQYWiwUGgwHr1q2DSqXC6OgoH2pAOsbj8XC61rudJEnCwMAAHnroIYRCIUYEs9ksG2pOpxONjY3syBGyKKaj0bUAcA690WhEKBTC2NgYAoEAnE7nnH09FwMckJM89SsfGECIPDkmYucWADl53gaDgfUN/T8ajbKDS5/PZrNwOp05PBP3lHiADDmL4v0WSuXwkj4bj8fxN3/zNzk2lNgrnPhDxjblvcbjcU6biMfj8Pv9HBWkNaDX6zE5OcnyVyS5XVbIbixlTvMyXsUby28iNxbzKW0yKoDLnj+FveX5aVarFZ2dnejr68upiiTKZrP8Xn19fdEFvJhoYzmbkxZFIpGATqfLaQxNBpnBYODepcuXL8fSpUuhUChgNpu5uMBkMiEWi+UYr5IkYefOneju7mblvNDxlkP5rlso56bQGFKpFMbGxiBJEof4qUJarJ4WhQ6lDZhMJjidTjZe0+k0YrEYtzkhpH+u+Zeba1eIF+IeKSWHVvxsOp3Gc889x+9T/8HOzk4YDAZs2LAB8XgctbW1GBgYwDXXXIPu7m4kEgnE43HY7XYAs06SJEmcgnP8+HFGAf7hH/4BDz/8cNF8OvHvcvo6zsUbonLyOul7YhSBnFXRAKPr0jqxWq1473vfi/r6epjN5hylRW2R6uvrOV9aRF4rPY9C15jr+4XGkk6n4XK5ONWB9gpFajQaDTo7O9lJSSQSfH49dbIgon30T//0T/jpT3867+ONK+UQFlqH+XhGefKjo6OQJAkOhwP19fUwmUw5xTOi40oGvlarRX19PeLxOLq6uhCNRrmAVqGYbac2OTmJl156Cffee2/euS8WyliIH8WIjNXh4WE2WiVJ4o4+5NyS4WoymTi/kw5/IcOejFb6TX3Gp6am4PF4WE8VG7Po1Mw3aiF+T3498TP5UEh6bTAYYLfb4Xa7OUf80qVLfLy8KEPIJolGo5zrS1Evg8HAhzsQ0EQHLNGaofGIJAJ174SDLPJPtLUIHY7H40ilUoysRiIRhMNh7qZAxVp+vx8XLlxAf38/XC4XdDod1q9fj9bWVnR1deG6667LKVbLx4di4OeiGa8L3ZDUT40WvSRdzuPUaDScR0OQdn19PVpbW/mcbrl3T4o+FotxNfY7RXMJF9pEfr8fX/ziF9nDoS4CkiRxKKOzsxN1dXXo7OyE0+lEKpVCMBjE1NQUG/zUFokUMbVSKgWyz6cA3inERHymgUAABw8eBABOoSCDX/wsGe0i0p7NZuFwOLhgpb+/HzMzM1i3bh0UCgU6OjrwzW9+84p7vxvzgLPZLPr7+zmHl9bH8uXL0d3djdWrV2Pbtm1Yu3YtmpqakM1mcenSJQSDQdhsNmSzWQ6LArMobl1dHV8rnU5jZmamoNJ9p9ZCPhLXB0Vn5OshnyGRyWSwZMkS3HDDDejq6uJ9Rp8hY02pVPKZ7WI4rNQxAe9MRIfQJOrKQuOIRqNwOByoq6tDa2sr6uvrYbfbkUwm0djYyOh7fX09wuEwFwICs3tI7NwyF72T8kO8XzabzeED6RlqoUaovOjoE+JERprJZGKj1+PxIBaL8WmGOp0Ozz77LD72sY/lGCfvJjkq3vull17CxMQEh67NZjPq6+uxZMkSTgsgtNVqtXKXBUpjI0NL5BGdQkXGKlWWizK4GJWKqpVKxSKL8mdDDh19JxaLsfE1MDAAAFi2bBk7epFIBKOjozh16hQ7RDqdDhaLhcEnkh3iUalU5EdRH7q32BVFBKvkQMxikajnNBoNt140GAycckXRS4VCgcnJSQwODvJhPw0NDVi6dCmMRiO3HKMDc4gHt9xyCxQKBfd6nQswpM/MZ02UbbzOJbALIRHi+zabDbfeeiv32SMPWMz9pMbrpIBXrlyJkZERrrrP55HTopEvWPnnCi3w+ZD8WvJ75uMbzWlqaooRaPq8SqWCw+FAT08PF5RQk+RkMgmn04mJiQnMzMywd0yngQCzi3Lbtm343Oc+x6dwvZsMs7k8LEma7a4QCoU40Z3mRoaHnM/0Q6kF1Iydwu0NDQ3QarW49dZbcdttt6G5uTkHrSsU2hDHNN91UgyZKRSlEJEDKrwhgdfd3Y0NGzagsbERWq0Wn/rUp5DJZLggy+l0QqFQQK/Xs4IJh8M8X5PJxLnBAHLyH/ONu9j/5rOuCu3NckgMgZL8yGdsS5KEuro6vPe97+WcX6/XyykpOp2Oiy+SySQefPBBfPOb38xZX/QjtkiSG0ziuBZCxfiRT2aRcTkzM4Pnn3+eK6hpLFR0QyFhSofIZDJYtmwZjh49CoPBAIfDwUYO7aNCIEE++T4X+rhQynf/fHs0m83i7bff5jaMtEcymQxHqERjnPZBMBjkcLLZbEYqlYLD4cDAwAB/j4ACinpRRbp4/8VAYUsBQ+S8AWbDwgcOHOC2aIQSWq1WbvlUU1PDBUg1NTXQarWchkbdBeiaZMDTSUvUqUJMcyt1Pgvhx1zfE41o8XNivQQ5IgaDAR0dHVi7di3Onj2LEydOYHp6Gi0tLdyek9IEmpqa2Mg3mUw4d+4c30+pVGL16tU5AArZIWIrMnEsND5R789Xfoj6qZzoDbVNpHQ8ETUOhUL49a9/DZfLhWg0CrVajVAohJqampwTHClNz2KxwGw2c4/sb33rW3wCWaH1IcpY+dhKoUU/gDbfgIxGI9asWYPx8fEcwZBMJtnbTafTOekFXV1duP7667Fjx44rug2QcRcMBq8otMhnwM41vnJIXKjya8ofGo0pmUxiYmIC0Wg05xqUT9Te3o729na0traipqaGe07SIQYrVqzIOTmG0Faap1hwUWwxyxdPJakQD/J9RvybKnuHhoZyPH8AfJKWiHqIhgYwKxh0Oh1CoRCmpqZw6tQpLF++HAaDAd/73ve4T9985zNfKlWwyENgy5Ytw969exGPx2E2m7Fp0yY4HA7u32o0Gln4UN6mxWLJOWmJ0gaoEwFFO1QqFVpaWgrOr5BQma+wkVMpSjnf+1SQKF5HdGhJaRiNRlx77bVobW3lnsjhcJgV0/T0NFdUT09P5zRdlzs35SiFhVAxx1d8LUkSnzkfDocZTe7o6EAwGITX6+VCC4vFwsgahYIzmQzWrVuH/v5+ZLNZ+P1+RKNRnis5imJos5jsLGXcC+XDXETIK6HIWq0W8Xgcvb29rHiXLVvG6Jvf78fo6CjGxsaQSCTQ0tLCdRgWiwUOhwPBYJBRRzJmxsfHuR3jYgMDpTqKcocqHo/j0qVL3NKJkGez2czFSFT8S04N8ZzC5clkEuFwGIFAgAESco4ikQh3IJhvaslikFx+ytcoRTo1Gg2am5tRX1+PUCjERXlmsxk6nQ42mw2RSASRSITzpWdmZpBIJGAwGNDV1YXx8XEuWKM8WFFWiPKokPNJ4BPJ4/lSMRsnH6lUKtx0003o7e2FQjFbvGa1WvlgqFOnTnGqgJjjS5HNcDgMr9eLYDAIg8GAYDDIoBEdqEORQnL+K03zNl5L2bSFGJpKpTA5OckVeNFolMO7mUyGk+cpeZx+li9fjsOHD2NqaoqFdXNzM7q7u9HQ0ICXXnopJ+VANGAXi8QNks9gky9gWrT//d//fcXG0mg0qKmpQUNDA9rb29HT0wOz2czJ0pSrlslk0NjYCLfbnVPERteWJAmDg4NwOBxFFW+lDfmFkmjcE1ooPj9CUeTjpE1P/1cqlVzY1NjYCKPRCIvFAo/Hw54gUNoarlSYK59nXAzFIm/9rrvuwu7du5HNZlFfX88h37Nnz/K59QDQ0tKCVatWcT6nx+PBuXPn4HK5MD09DaVSia6uLixduhR1dXWYnJzkCEc+msvhWCynpxCJzsnQ0NAV61pEIsl46ejowLJly7gPZSqV4tZzlLcn9mQklFIMl8uVUbGxLcQpKhXtF1+rVCr4/X6EQiGOYq1YsQKTk5NsvJLRajKZuH0cpRfF43G0t7ezA9zf38/XJlStnEbjcj5UwuED8vfIlu8dMrpo7KLx6vP54HK5MDk5Cb1ez5GXoaEhnD9/ng0x8cRCkh2Tk5PcNiudTiMajWL37t1YuXLlFYZ9MQdwoVRs7vkoGo2yDBWLqQwGAxfijY6OIpFI8ElTlB9NkQnKH04mk3zqlEKh4MgHRUoLHWZRbC4LoWJOUqG9SmOk4ueRkRF0dHTAZrMhnU7DaDQiEolwoTPJEQKMTCYThoaG0NDQgHA4DIfDAbvdjomJCRgMBhw6dAgdHR2cPiDqYxqPPLImoq5iC7OrQQqFAp/97Gfxs5/9jFFf6nEdDocRCoVgtVoRjUa5cNrv90OSZnPJA4EAVCoVamtrEQqFIEkSpqamEIlEGNWWAwrivYkPRPOZe8W6DRT7jPx1OBzGnj17ODdxenoax44dg16vx5IlS1BTUwOz2czfoZ5i1HnA5/Nx4c26devQ2NiIeDyO5uZm7jFGyn8xBcpccy6k6FUqFd5++20WuuLiNZvN3EaMiozo+2TYW61W9PT0IBgM4tKlS5zHRQLWaDRiYGAAmzdvvqI6vxAP8gnfShj9hdZIvoUrIkr0W/5Z0YOjUG4ikYBWq4XJZAIAdnoIZaNChImJCSiVSnR2dub1ckvh03wpn0KfC6lSKpVoampiRKypqQmRSAQHDhzA6dOnEY/H2bttamqCWq3GqlWrEIvFcOnSJezbt4/7BavVapw6dYq7C9BzGR4eLjrHqyFQy3EwU6kUo4X0XZEo7chgMKC7uxt2ux16vR7xeBySJDHPhoaGAIDb4rhcLhw7dgyxWAxmszmvozEXnyrlJJdq/CkUCi7KIqNb3D+EshqNRj5tTKlU8l4xm838NzVip+JREaW6WqjzXNefKzRKh9iI+bsUjaN2WeFwmNEh6odNqVper5ePF6Ze5Hq9HqFQiPMBw+Ewzp8/f9XnX+7aGhgY4LmLzjo5bBSN8Xq9fEpde3s7amtrEYlE4PV62XDX6/UMMpG+okNjqO0UjTMfLRZ4JAeIio2B9q9arcbGjRvh9Xphs9nQ2NiIbDaL9vZ2dHR0oLa2ltssik5sNptFW1sb5w0bDAY0NDRwc//e3l6WtWI3AyJKxRDHUmnHZi79JfJI7CCQzWZzeqNT8dnIyAhuuOEG7N69G93d3XxYBaUktbe3w+/3c0s1Aoa6uroYRJQDAfmeUSnPLx/NO+d1PjcjymQyuHTpEgYGBtDV1YVYLIbGxkYEAgG8+eabHDKnvoR0gIEkSeju7saxY8eg0+nQ0NCAZDKJuro6hMNhXHvttdi9ezfGxsbQ2dmZ4+EspoDJJ1yK5XlMT09zGyxxfBQmbm9vh0ajyUkHoPYV5Ok2NTVhzZo18Hg8cLlc/Blg1ut+8sknce+99xY9aavY60LvzYdKuY64mcWcRrGKlbxh+pxo2FPOdEdHB6xWK1QqFRuz9D2lUgm32w273V4w1/OdokJrpaWlhQVATU0NRkZGEAwGsWXLFm7fQ+GubDaLaDSKQCCARCKBrq4u+P1+DgfRqUqNjY2c1yivzs/nwJSyVipNhfZPJpNBMBi8AsUgw43Co4S2UyPtRCLBFbJNTU2or6/HyMgIbDYb6urqYLPZ0NzczE6NiJqUGrmoNM0la2mey5Ytw/33348nn3wSExMTGBoa4ucrnkiYTqc5xWBkZASjo6NIp9NYsWIF2traMDo6Cq/Xy+21yqmGLrR2FoPk8pbCrxSZov9TKPjAgQNIJpPo7Ozk7gNU4BuLxeDxeDAwMID169fD6/Wirq6ODVixEMdgMHAOKd1XXC/5xllozIvFC7rnrl27EIvF+MAfOg7ZarWyLolEIjh//jxsNhvsdjv8fj/3j/b5fACA4eFhjI2NwWQyYfXq1TmpFZRmMzMzU7A149WgUqPAwOyafs973oN9+/YxOl9fXw+3241169YhkUhg2bJl0Ol0MJvNsNlsDIg1NjbCZrNxqgUBagQeiXKIxiW28SMwBsgFYeSRg0pSofUBAMePH0ckEuE0GkoPsFqt3I7R5XKhq6sLNpsNDQ0NaGpq4hST1atXY3BwkNORdDodH3Qg5kIXk5MLka3zRl7LEdzyMDq1f7pw4QIvnuHhYczMzCCVSsHr9WLDhg18LCw1VFar1bDZbIyqUc4ObUrKzaE8lHI8woUqIrmHUww9ET1Zsc8tAExNTeHEiRM4ceIEurq6uAqaQp1utxszMzMIhUKIx+Ps9Yh5wIlEApcuXWKezYV8lvO/SlI+o4gEK1XDU3sW4HJ4Jd93yeNdunQpDAYDf6+hoYHbnUiShJqaGoyNjXEFvnitQmG5q+EAiSQKHK1WyznhKpUKy5Yt41CN2WyGXq/HqVOnuFrabDYzqhKNRrlojxD5trY2zn1Vq9X40Ic+lJO3XYoSlr+30Dnmu0+heysUChaWNOZvfvObMJlM+OY3v8kGBSEd1DItm81y2z0qBqWjECm/bcWKFYxQio4RUFhWiJ9ZiPLJd59ifBGJDNi1a9dymsDAwAAOHjwIr9eLO++8E0ajEZlMBmNjY3jttdcwMDAAs9mMhoYGeL1etLS0MOIcjUZZgdHamOtZiXNfyBrJhxQV+pyIKJKxSocTkFw8fPgwGhsbcfjwYSxbtgzNzc1QKBRIpVKsRxoaGjAwMIBsNotTp07h+uuv58IcsTcsIVXRaBSTk5N8rbnmUQmkTb4W59Jdx48f589Sd5G6ujpuG+ZyuZhnAwMD7BwD4GJXl8uF9773vXj00Ue5kC2ZTKK2thZDQ0OIRqNwu9349a9/jS9+8YswmUxF13ExHpXDg1K/l0+Oq1QqrF+/HrfeeitHIRSK2ULW2tpa9PT0wGazcWGwwWBAU1NTTpGX2EOZgJNPf/rT7DASwip3sORFW/QcKylT6bd4L9orcvlEB0D5/X4eEzlt3d3dSKVSjKxSlxpKI6L2at3d3VzER2BRKpW6AggoFDWZS7cU48mCjNf5ellmsxmtra04deoU2tvb4XA4OCRBlWtGoxFNTU1oaGjgVh2EEq1btw779u3jdILz58/jPe95D7d9oP6WhZRPoTlUQtjOdc90Oo1HHnmEvTUxZ5UW/2uvvcY5iddffz2WLl2K9vZ2ZDIZnDt3DoODgzhz5gyy2SxaWlqwZMkSjIyMsJGi1WoRi8Vw/vx5bNy4sejieTdQPiOWcppFxSmirvQeOSn0vpijp1KpYDAYkEgk4PF4sGzZMkQiEUxPT2PNmjW8nvIp53xjvJpIG/1NreKoYbrT6cTMzAzq6urw0ksvYXJyEg6Hg9EQOryCDF6r1crG+uDgIJ9ZTk37P/vZz16Vuc2H8gkxUjSEcigUChw5cgSxWAw9PT0YGRmBQqFgJJ6MXMptU6vVXEzgdDr5NLaOjo6ieWfFHOGFRKGKzbkcampq4tOB6GhLaqnn8/nQ2NjIxUZ6vR7t7e3cFqqhoQF6vR5TU1NQKBSw2Wz46Ec/yqijOC7RYMxnaJZqfFaaJElCMBhkx4P0x4033oiJiQncfPPNcDgcMJvNfKCJ2WzGe97zHq4o93g82LRpEywWCywWC9RqNRczKRQKTtEJhULweDxYsmRJwfEslrMrN1wLfWZmZgbALFBC6RROpxN1dXXw+Xzwer1YtWoV6urqOHJDDr/ZbIbRaMSSJUsQjUZx//33M3BgMBhw3XXXob+/H8uWLcPY2Bi+/e1vY2Zmhh2GdwuJYxEdEHJMqEhaoZjtznLNNdfAZrOxzKB0K71ez6dLkeFKxdWUN05gSD5dNpeDczUQ+XzU2trKdoeYRqfVatHc3Ayj0Qij0cjdBignnECSNWvW4MyZM9Dr9YxEU8rmfffdx+kX8rQBooXukUUt2CKSD1Cr1eKmm27iRvtarRZtbW2ora3l6kWdTseeYiQS4UpPYPZMZp1Oh/HxcRiNRixfvhzZbBaHDh2CWq2Gy+XixTSXYVJJAZNv4coplUrh1KlT3BidiiJIEcdiMVgsFoyPj3Mfzrq6OjQ2NrJRR7mcSqUSFovlCiVP1eePPvoorrnmmpzFQ4bKYoZCS9k4cqUo/qaiCRIetAHIIKM50BnS4slAlMNDn6OwaTAYxPDwMFwuFz7ykY9wbqSIrJSKOlaKCl1PfN9isWDbtm342Mc+xqE/vV6PkydP4rrrrsO+ffuwdu1aKBQKPu5Ur9ejpqaG20ORIu7u7s5Bkyj1QDQE5eH4UsdcLon3kaMPxdYOFVbReLVaLYaHh7FmzRoMDw/D4XBwZwaKOlCVtMPhYMVDCgyYlUcrV65k4y0fwpUPVa0EojYfkt+PUinC4TCsViuOHTuGAwcOIBaLYcOGDZiZmcHKlSv5yEeXy4Xx8XEkk0l0dHSgra0NPT09cDgcHFY+duwYkslkTmpTvnvLx3W19ks+45kKtSiqQL1MKcS9YsUK2Gw21gkWi4W/X1tbi/r6elitVjidTiSTSbjdbt4vABhomJqawuHDh7F27dpF780pJ5HHhVLCaK1mMhl4vV7u59rY2MjHZN9+++3IZrP4yEc+wpGampoaTkujFnJUCCj2JSVncGRkhI9bJSNOHGehPU7vVYLmAp/k9yWjlMLfCsVsXjghjYQuK5VKjuCJbaTIiCNUtrW1FRs2bODojlhjIs/3lMuQSjm9heT0XPxWKpXYtGkTzp49y8XflF5HKRJkjGo0Grjdbs79TiaT8Pl8qK2tZX5Fo1HuOS8eGJUv71U+pvnI0UVvlSUnGmBTUxPa2to49KfValFXVwen04lAIMC5aPR/OppMrVbD4XDghhtuwODgIHvElL9DfcfkiNxiejmlzJcoHo/D4/GwMUZEaIDX60VnZye3dKKE8GuuuQaRSAS9vb2MLGi1WgwNDeVdqJIk4cyZM1wVSlTq/Oe7oeb6XqENRX+nUilMTEyw0UHtsegztBEo3YLyY+m4Q0LpxfQCasYeiURw2223oaOjY16bZT5rR36Pcq9B0YiOjg4YDAbU1dXh2muvRVNTEy5evIjrr78eer0ebW1taGtrY4Otvb2d22glk0kYjUbOR9LpdJyOUmicpcypEnspnzeebzz0WqVSoa2tjZUEHYV69uxZ2O12biovNtynVBSF4nIuLCFJhPCT/Mk3lkJjeidSSuREPJiZmYHFYuH9TgWd7e3tkKTZk4XIKSSwIBKJ4H3vex/6+voYiXY4HNzNQczXu1oAgPy65awxAkLI6dBqtVxYQvm/oiNMAInT6eQWe8Qjqqam72g0Gu5gEggEOLpRSkrFYlGx+1AfWupzTb1dqZCRKJPJcG9OMeyrVqtht9tzDiggSiQSqK+vx+TkJEc7qYPDYhrzhVB/8f/FeEL/V6vVWLduHR9IQochEQhC8oMcf4p6iYcRKBQKbqu1YsUK6PX6HGeX/p5rzCLNd92UChTl+9769ethNBo5zYTyckk2StJsETmBhyqVCm63G2NjY5iZmcHMzAza29tzHEHq0CCmRohjmctoL5UPV+2ELfl3LBYLNm/eDJfLhXA4jGAwyB5ffX09dDodN5em3FDq+UobKxaLobW1lRU1oZgUVqQfEVVaqDGxUKKwPiGGZKDSe62trWhubkZXVxcymQy0Wi26u7u5BRKF/+gI1Hg8zkU8VFENzPLbaDRyqLSYFyynq4W+yu9HvPD5fOy0iBWRADj3k/JiyYiVJAn19fXcjJsUL21GMbSRz3DNhxQsBpV7bUmaPXGNOiRQkYAkzYZJ6+rqYLfb0dDQwGtEqVRCo9Fg6dKlAAC/389tk6gjBeWSk6ddaE0UWy/lrhPiuxzdLJfIAKH9Qx0DqO2P2+3mU6OoHR+tH7GgJx6PA5itzCYkpRQFXMiwng+VyodCTh+lH6lUKoRCIXR3d2PLli04f/48n1Xe0NDAiKTdbmeknor7Vq1ahcbGRg4HUs6rvG6g1GhNJY23QveVvy9JEmw2G68JikAQCktGPgBGoEk5E0hCBixF+Gj9iI40ye2xsTFMTU2htbU177zzgQnlrnVRThXiQSFat24d3nzzTWg0GtTW1sJut7NsFOsIMpkMF2mJvcG1Wi2fxkaGfjwe5ypyi8XC/XEHBgZw8803XzFPceyVQl0LXavQ+6IdQO/pdDq0tLTA5/Oxk6ZUKpFMJjm1ZmpqituFkZwVDVGSn9dccw33/KX/yZ3efHPO5xhWat+Ueh3aJ0uWLOGjYEnvUl0A5UFTEXAsFsPIyAjX4Bw4cAC33347amtreW9QoSShtgQUzKVnyp1DWcbrfNAq+UDobxIyYljY7/fDYrHAZrNBo9EgmUxyRSiQewqFzWZjz7q+vh6vvfYaUqkUe0PFDg8AKpunVgrRfQj1uHDhAgKBADeMVyqV0Ov1XPVcX18PjUYDi8XCXi2dvw4AoVCIm40bDAb4fD5MTEywl5xMJuFwOLhdhdwDLOYNVQpJkgveYgKMnAxCkTQaDSsU8uDE4jaFQpGTA0u9LinUA1xW7Ol0GoFAAG63Gy0tLWhvb78iPC43qBbbgC2HKORNY9LpdGhsbOSUERI2NF5CDpLJJJYsWZLTGiwSiXBDaafTeYWClD8zkQeLzRdg7tQNhULBez+RSECSJBw+fBif//znoVKp0N/fj4aGhhzHkIxXeg1cTify+/0YHBxkdFvkR769IJeBlVY45ew9MsgCgQAOHz7MPTyVSiWnB9hsNixZsoQVtNPpRHNzM8bGxmC1WvmkJcrfo6NU0+k0UqnUVZOP8yH5WiTQIh6Ps7FJ86YerTU1NYwKxWIxTr8insViMcTjcSQSCTZu6f8mkwmBQAAA0N/fj4sXL/IhH/JxvdN000034aGHHgIAjkoRiCHmeop9f+lgII1Gw0g9FSoRb8h41ev1mJ6eRiwWw/PPP4+tW7eW7ZTPV47Mx5Emo5LAD6PRiPHxcW4TJ9ojXq8XgUAA0WgUMzMzbPRTlT0Z/0qlEj09Paitrb1CXubTr/SevIvJQhz5UvmQj98KhQIf/ehHsX37dtTV1fGxtyQr6bALALxXhoeHceHCBa4tcTgcSKVSiEQiPDeVSsX7h9aYvGWbnORRrFLk4LxbZeW7+VyfkyuhbDbLqGE0Gs0RHAqFgl+LAkaSJEaOAHBLqTfffBPpdDoHvhbvtZihvWJGmvhakmbR0M997nM4dOgQfD4fe/o1NTVobW1FY2MjOjo60NzcDIPBAEm6XIFPucBOp5PPsk8mk7BYLHC73RgfH2flSgib2F6rmCe4GAp5ruvle582DOUpUh5OodQHMuboR5wnGfzRaJSTzf1+f05hDm3SxQr/ya8xHwFFThodNiDmcqZSKXg8npzqV4pgxGIxhMNhmEwmTkuh/K3W1lb09PTkCFJ5Dp18Pct/l0vyEJKciu0bkcxmM7q7u3HhwgVIkoSZmRm89tpruPfee9HT08PtW2jv0NnuZKDQ9ShPrbm5mSvVRcEtOr8kP8pRDvOhUvYK/U3OXDgcRjgcRmNjI6Or1IFALFoj44T6W1I3hlQqhVAoxE6uUqnEwMDAvMCKha6RfIq8mHIX70NGhfgsiEf03MfGxrjgCgA/c2qdRf1fE4kEG24NDQ2MxtI6iEajGBkZQSQS4XD7XLxYiDwp1cChz61ZswYWi4UPsSCHXTyUhPglAgFk9JtMJvh8PjZK0uk0QqEQH9tNJ9YB4OKwYoCQHCyYLz9K2X8kZ0TZJt/HlOpAR+DS2tfpdFi1ahV8Ph/OnTuHpqYm3hPy6zQ3N/Nx3PLxib/pR9Qx4nVI5hTKYS6HJ8X0jRykAoDOzk7WmxaLhfcCjYvyWbPZLOx2OyRpNr1kYGCACxopWiPyPRgMcqGgOC+xxiTfeMtZGxXrNjDX5pIPhrzi8fFxjI2NsVLu6elhhgHgUCl5AGSM0ZnUBw8eRH9/Px+Dt3z5cjb0xIUz1/jny4O5jD75ZxQKBbq7u7kBNoX8FAoFVq1aheXLl8PpdHIDcUqmpxxXnU6HWCzGvUypF2xjYyMbNMAs+ubz+diALaeyfiH8ybdBCn1O/jc5JhS2or6ldHIW8Y8QZ3rOWq2WP0/Oj1qt5pCxQjGbN5pMJuH1elmhyZFckRYTdS1FAYk8VKvVuPXWW3H+/HmeMxllExMTcLlc3OtYoZhtxO7xeBhZpEb22WyWhfXq1avR3d19haFWTLBcTR7k+w5RS0sLPvzhD+PixYu8Fk6ePInu7m6sXbsWsViMEURgNoePjHcxF5ry46k7B/GCkH6iudbzQgy1uRR9MRIjEs3Nzey4U8W4QqHIOeJRrVZzZbndbmeeUI6amFvu9Xo5d1ze8qbYfBaTSlk39fX1cLlcAHLznbPZLC5cuIDjx49zXm9tbS1qa2t5L0WjUUQiEZYhZOw3NjZy71y6PyGPk5OT6O7uvir7ppxrUyqATqfj9mF0VDTtAeqkQOklkiSx7iVjdnBwEMuXL+cTuxKJBILBIHw+H68/scaASG6Iycctbx0137mLRqr8c/miiWRgUe0M9ckm2UDACRmzZrOZj6sn1JYKA6mgvBS5IN6/EEhQCXuk3M8olUp0d3dDo9HA6/UiHo9znQnZaAQCUG900sFms5nbmxJyT4Db6Ogo2tra+BrEd3k0fCHzWVC3gWJeciGLWvy+TqdDTU0NX6utrQ01NTXwer3MIPFhS5LEIR+qagOAyclJXlBijzYAeZVysTlVkgoZt0ajEddffz2Gh4e5IIu8fEp+pn6TkUiEq/7orPFwOMzXAZBTnS/ez+/3c8WwuIAWm8pdnOJveu5Wq5XzbsgblD9LElw0r1QqhUAgAJ1Ox710xVZkGo0GN9xwQ45BT3yZK9exUsiaOF85ifMSP6NUKvlgBQrdSdIs4tjb2wsAOHv2LCYmJmC325FKpTA2Ngan08lGa0NDA3vQhOCTwS8K67nQLXq9EOdG/rqc65DcoKOPybNPJBLYs2cPF/u1trZCr9dDq9XyvhBz+kjp0hobHh7maIa80GAuWVbovflSqdf3+/3cwsdutyMUCuV8no7hbmpq4sKUeDyOyclJbmtEn5MkiQ14+v7MzAysVmte5GmusS9kv8yFHsnfI1IqlbjvvvvQ39/PaCI9cwJGAoEAYrEYlixZwgegUCicDFYyxsRTC8l5JodIq9UiEokwaFLKnBayX8r9LvXrJMeE2oiFQiE23ui6FB4XwYCJiQkEg0EGjqjvNgEMAwMDbMyJZ9iLiDdRIcBkPntGfh85X0t1/MQ1TXNzuVxwu92or6/n4jytVsuGezqdRk1NDSRpNk9aTMcR5yk3WkV+iAa0+H8AOQfGVIpK4cP73/9+PPfcc3yQCxmwpItpP/h8Pu6SFA6HMTk5CZVKhebmZpY9ZM/QCZ9Ud0PpKfI5zhdtBhah20A5C5IS5KlPJSWE63Q6hMNhThony16+SAm21mq1bNDt3r0bn/nMZxjNFNsmiQbtQscu/564aEu5zh/8wR/g2WefBTD7wClcRSEEmncmk8Hg4CCCwSAymQwCgQCUSiUb/aSEKbVCkiRW6NRSi9BqccOUgsAuBoJQjEekJMxmM1c40mdJwZLBRaFAMji1Wi1CoRCHQMTDG2i+tbW1HDqmQg4xHxjAFSfmVAJRKVVxFbo+GZgqlQrj4+NIJBJQqVQYGhrCzMwM1qxZg2QyyTnigUCA94dWq8XMzAyCwSC3j9Lr9VxFLSICpRql4mfL5UOpyrjYtRUKBRdviuMhh4Ra/lDub765SZLEZ97TyVIkaMkoFtfOfFCNxSRJkmC1WhGPxzExMYGJiQmWG6RwIpEIhoaGeE9QqDwUCvER22Iki0LldJ3BwUF0dXXloPP5nlu+HL75rI+FklKpxD333IMHH3yQnVkaHx1ms3r1agwPD7OcsVgsjDqTI0NGWjKZhMfjYYUurotgMIj6+nqu6i8213eCFwqFAlu3bsXTTz8Nn8+H8+fPY/369TkpUwB47gqFAv39/YhGo7BYLOjt7UVjYyNWrFjBB7yIspFSBUjG0PuF9vXVnj/dsxAgAFw+eZF+JicncfDgQT5Ry+/3c/GRQqHANddck5MiInYYIN7MZYwVQo8L/a/UeS7ke5TzS3KO9Avp2GAwCAAcmRgbG8PIyAindLrdbu7cQXqqpaWF+9jnQ5yJbwtZFxXpNjDXxs33Hikb6stK+aqBQADxeJy9xmQyyXmPsViMT/8gb0mlUuU0Do7H44hGo9wGQwwBEsPkIYuFMFA0xgpdJx/CSIcvkOdHp2eJx8wlk0mEQiHs2bMHsViMC7OcTic6Ozu5opoWQSgUyulLR1A+eT7k/ZRiOCzEKxapFOOPvkeIIJ0hPTk5yYgICRjxwAoSxHQOeTqdxtTUFCKRCCwWCyfji70KPR4PmpubmcfiWhCNFfnY50MiP8pBUEQ+0d8U+ne73RzivHTpEurq6qDX67ndj8/nY4VCecMKhYLDO9RwmxAkuVGXD8XIN75KIvj55lvoNQAubqR0ElrXlGIkd1zpOmRkkVD2eDzweDxoamrC8uXLsWbNmpx0EloLpYY454MilLIuCvGEEGW73Y7a2locOXIEZ86cwcqVKxGPxzkd680334TdbselS5f4ZDGv18trgOQsyQu6h91uRzwez+Epkfh3IeN+PmHhfMhtMUdS/p7BYIDD4YDP52MUjYxY0gvt7e05BiuFi8kBpGcfj8cxOjqagyxS+7lsNguTycRh0lIcvoVQKfeQI37//M//jKeffprzXClNRGwjF41GkUgk4HA4oFQqMTU1Ba/Xi+XLl7Ohplarc1B5Sj8io5VazMnlf6Hxktyer94tlZfytSGuJ9rXNpsNsVgMoVAIDQ0NuOeee+ByuTA5OYmZmRkGlCg/XqFQcPqeiLrONa5Chpr43kJQyIWQRqPBbbfdhmeffRZ+v58NWCJyhOPxOKamptDY2Ij7778fwWAQHo8HBw4cwPj4OLRaLTuDDoeDbRixgFrUN3OtAbmjJacFH1JQCiwtkvh5Ck/Q0XyEKDY2NnIbH7FSWK1WI5FIsKABwCgboatiixzyiGgMYp+/UlGmuUgUovkWaD7DlQxNyjOSpMtFaPTAyRCrq6vDqlWrkE6n4Xa7udenGMah0BCNgRQ3tdIiASuGRCttgJTCn2L/J1IoFFwFTYqF8rDkz45ek0FG+UfhcBherxd6vZ7RFTpVivr50Q8ZAGLep7i5FoMf8+E7HdFHzaKp8IzQQgpnkXNHa4rCp0qlkk9KAWaR/3zdOMR1Khrx+db1fOaxUL7Sd00mE4xGI3w+H8sGMl4pP5wiOVTgJhqmsViM88oTiQTC4TBWrlyZE94rd76VWi/ininm8InzOX/+PCYnJ7nIJhKJwOfzcd7Z6Ogo9620WCyMKpIzSF0++vr6ODJx/vx5dHZ2XlFwUU7e2nzmXs66kstfjUbD3RQ8Hg+sVismJye5itzn87HxRgUqVD1P8pf0jc/nQywWYxkh3isQCPARqdROaDFovvuMnHqbzYaZmRn4/X54vV7uUEIROyo4o7Q1asNHyJvYkpAcwfHxcXYIrFYrrr322pz7AqUZa4u1huT3l/8t3pt0oyRJsFgsiMfjqK2tRTAYRCgUQiwW48JYyt80GAzo6urie4ndG4qNp9D4ygE25FQJHkpSbkSTUGSyT8gWGR0dxYoVK1BbW4uBgQFO7+zu7obL5WKZSuAAAWci70iW5CuuLHde8+42UA7T8ikCSZpFH00mE58IJBYbUWNg8pApH4lQJ+qBms1mUVNTw6kD4glL8kr7fEyqBHxdiB/5DFeq7H311Vfh9/tzNhPluFIRCp0vfu2118Lv92NycpJDW7QgKKWC8iDpWplMBo2NjWzkEmpJvBdzkvI5GPMRmoUclUJeltygp6I9INfREEMa9JquqVKpuD0ahXGUSiVCoRD6+/vR2NiIlStX8jGrFovlCo88H08q1Ww7n3FebK0V4hH9TdEEOmVqamqKT12jVkfZbJYVNR1MQF6xSqXi1i5i9wG6fr7wcD4Ddz4FF+K1ShXYNE7x+5FIBJOTk6yY6XMGgwFWqxVms5mLIYPBIEdhaO1QpIPmr1QqucKaZAfxWRS4c6EE8+VHIWey2P3I+KAiie7ubhw8eJALsMLhMAwGA0wmE/fqpK4UABil1+l0PH5qESQ6cVTsI6/cnmuN0DXLpbkiNXOtF5VKhY0bN7LTQk6/2+2GXq9nZy8ej7MRZjKZ0NTUBJPJxPl9FOmjU5UIHKCCHlpbVOxTjB/F3iuFynGm5fvr9ttvx/bt23HixAlMT0/j85//fA4CRrqUeEey1e/3MzAgVpwrlUqcO3eOHf+1a9fiE5/4RI5+ka9n+TqYz7qYDxUzYOX6j2pGaF/RHhJ5TrKSjpiVRyKIR+J7wNzPfSH7Jd/1S4mYyb+j0WiwYsUKAMD09DTLETIyNRoNli9fDovFApfLheHhYQSDQTgcDu44QG1NaR2IxZKiTCV+kxzJF+lcFOO1HIbk+6z422w2o6enB+FwmIVAfX09Cx3K+ySjlXqNEXxPioeOvwsGg0gkEnC73Rw2JUNQjkoSiQbdYhiwIpECmZqawssvv8zfoVBdJpOB3+/nSnmqDKYqUeIJFV4QKhmPx+F2u/kalDTd1dXFPJSnUYiKNl9l6Hx4UQwlmus90SgKh8PcjxEAo2r03MWDF6hnX01NDUwmEx/reOLECXg8HtjtdqxZs4YPsijmJecz4sRxVgKpLmWPFFJUJCSoAIfygkdHR7kllhhlSCaTMJlMfOgHrbX169fnze2lZyBW1crnXcjYXwwSnSiRH36/H8888wyGhob49LBMJsPH49IPFWRRRw56j5w5WvdiCoL4I/KAeLqY/CjXOCFZ5nK5uGl4LBZDIpFghUEIIRUXkdEh5oMSH8j5p76WTqcTXq8XOp0OCoWCoxZigUqlqZhTM9deJGW4bNkyvPbaa5icnITdbofT6eSoBbUGo5PYyMEDwHn1ZNRRCJXuSydP0X2oR7foXBcabyUQsnJJqVTiy1/+Mn7zm98gkUhgYmICMzMzaGpqglKp5Pzo0dFR+Hw+Bk9oTRmNRq4TcDqdfFY9RTn1ej2+8pWv5OyTucLo8wG/5FSKcSa+zremRFmv0Wg4dYZkKPUv9fv9DJ6JBhl9X7RDSK/OZUwWQ4IrTfl4Ih8DMGuL3XTTTdDpdNi1axejsOTMUeFrJBLhtICWlhYuNvd6vZwfazAYACAHQBS7KokAlHwc+RDpQnTVjoct5F1QriIVaIn5jCSA6T0xx5OKMZRKJVfcrl+/HpcuXcKuXbvwqU99ihWSaPgAuW0rFkpyY1icq/x+iUQCBw8exFtvvYVjx45x6xoK/09OTiISiXBbp9OnT3O+lZgLrFAoUFNTg6VLl/LJOv39/Tn3N5vN2LhxIyscEY0WxyWOVz6HxRa4hYR9V1cXV7OKC1wuHOh/hLqSQE4kEpienuZTheSGeiEkXr7Jac3Q/RY7J2kuRNZms8HhcOScfmI2m7FkyRIEAgGEQiFuY0OnblHOL6FoSqUSVquVrykaI+K6ENGkQs9pPsZaIWFaDi+USiUfZEKygeZITg3dR6FQcN407SVxbmK+LPFDlD35nN5KF3yWSqJQp7lSHiP1tX377bfR3NwMvV6PYDCIs2fPIhKJ8HGnmUwGbrcbarWaT/GjedPxj2SokpErHogi8kIuR+RjrYR8LZc/5MRRV4XOzk4+7CUQCGBycpLlrVarRXNzMytT0aCfnp5mZFqj0aC+vh4XLlwAAEbYqKBHlBXAlYbBQtZFse8WQupF2V1XV4e1a9fi4MGDSCaTOHnyJLq6umA2m7kAVJJme3cSakZtkSjPXtwXlK6k0+nw1a9+FRs3bizocJcDbJVKhYzRYq/lz0KOktJeGh0dhdPp5PVCaQQEEpGDKEdXRV0iN74KjSHfeCspP8pZf6Js6+joQH19PcbHxxl9JSQ6mUzygTlii7Dp6Wk2YilCASAnikGAkxjVAS7ntRYy/IvRgvu8zucBiAPv6enBxYsXubiGKsBJQVN+K/UrJE+JjBA6DcRqtaKzsxMDAwMYHBzMQUPkrW/EEEiheZTDh1L+R6jXwMAA3nrrrZyWEfS5wcFBBAIBLjig07QMBgOPMRaLYXp6GpI0mzdrNpsRj8c5xEHXve666zgPUlws8oWTz5BfLGEr/l8+LhqPUqnkBuriuCjEK28HRoYrAF4z1IGChLLcgAWQ88xL8fQWargWQ5Tk9y5kLIqnZBEKQmgQMItIBgIBDvUSokifS6VSfBQgKWrxuiKiJgpo+et8YyyXyhHg9F4mk8Hhw4fx2GOPQaFQ8LnjkiQx0pyvohW4XKRFMoEiEUSUw0ZCloSq3IAlY1gc+2KiJvle076gnOf29nZ4vV5otVqcO3cOW7du5fVByCMhjj6fDx6PJ0emSJKE8fFxnDlzJmee09PTqK2txaVLl7Bx40aWl3JDTc5z+sxCUm/mw1PSD3Roy9TUFFpaWtjJJwRZdEJEHUHODUWyKKUiEomgtbWVZY9KpeKCSeqtLI65UrKUqFAkRn6vfPczm834i7/4Cxw9ehTpdBrHjh3D1q1budiK2qwZDAZuF0V55BqNBkajkVPP4vE4Hzv8ve99D1u3bs2JYskdQ/H9Shvz4jXk9ymmy/Pxi06lNJlMGBoa4nadwWCQIxaRSISBEvE+YsSKXpdjhMl5Mx8qpL+LGc6FnofNZoPFYskxWOk3FVTTvia7LB6Ps/OXTqfh8Xhyoj9imgoBAwCuQOwlScoBTObiy7xyXkvxqknAicpD/D79bTab0dramqMkotEoG2ThcJirQGnxiD3qFAoFFzEdP378iuIkMW+tGHKyEJSgkHCR88nj8cBisWDJkiW4+eabsWvXLm5+TUIzEomwELXZbEin05ienuZ0iXg8DqPRyF6gSqXigwxoLFqtFhcuXMCaNWvQ0tLChgshNfQ8irWFupokrglqTTI9PQ2F4nILEhK2YuhWkiQuxKLQjrwxPSEJc/XQk69X+bNbaI5nodflXEeSJKxbtw4DAwMIh8Mwm80AwM32nU4nlEolrxUKn1Nz8WQyyQ4RhcEoz1gUGnLHLh/CejXXimi8Pv/88xzapFznWCyGrq4uLlKi8+blqAgZ8QaDAU1NTdykngr7aP4i+io6d/mUViXnR2MuhUghUOs0ahvodrvh8XiYNwaDAS6XC36/n1EUm82WIyfT6TS8Xi/niRL95Cc/wbp167BixQqsW7eO0Vcgt8MA8SVf+tF8eDEXDwohvaFQCA8//DCOHDnC7QephaJSqURdXR0fmU0HeVAqmlgcHAwGMTExgZ6eHgwNDSEQCMBqtcJms/H1JEnC9PQ09wNd6LyLUakAST5SKpXYsmULvv71r+P73/9+Tks0ypEHwEYKcLmXrUKhYMSReBQOh/EP//AP2Lp1a86ph/nGVMqznA8Vm/N870c5rwaDAUePHkUmk+Gm/dTjldLOyEAtBHqJ0YnFcmznooXwnY4DprVCp8tRFNfv9wMAdycJhUIsW6jlGHW4INkgdj2SO//imEX5OhfNC3nNZ9HLhblc2BdDEdavX49Tp04xM8jTIUERi8X4zGUArHBJ6er1ejgcDj6swOv14ujRo7juuuv4cyICKyIH4nzmQ8XmRb/p79bWVnz2s5/F+973PvzgBz/AxMREzndpYZBypsa/1EYrkUhweJyQBILkyeAg7ygYDOLIkSM4e/YsvvzlL7MBIipl0WATjZXFFr6kNMX/0UbX6/UYHR3Frl272PGgsA31bqXnSAc2iI4KoSXivDweDx8fSxtQzMEBcnOfSTDJCzEWM8ezlL1DaAgJVDoSlhASm82GtrY2hEIhzj+iXGlSzJQHKnq/kiTxHqH8YtGhkQuTSiMFpXyOxh6JRNDb2wur1YpwOIzPf/7zjJLt3buXEVhqESZ6+6JRv2rVKhgMBo7eiM+f7kfrjELrhZzeSu6XQnnG4m/aK4cPH8bjjz+OUCiElpYWbmv18MMP48///M9htVp5DQeDwZyTtgDwqYXRaBRDQ0N8bdoXgUAAx44dgyRJ3BpJ/tzkUSwRZZkvlWv0EOJ65swZvPzyy+jr60NbWxuUSiUOHToEp9PJB7/QdanfsTyXMRAIYHR0FPF4nAvYFIrZk8pqamrYERTHSnK0UGHfQoyYYsBCISBJfi+9Xo/f+73fQ29vL3bt2sU8E+sf6G86DjWRSGBmZuYKh+3v//7vsWLFCp6ruF7lMjOfU5NPLy6U5nIo50KuqSsLdWJob2/HxYsX4XK5uAsDpSkB4FPGqMdvvrEAlx28QnOV7+tK2CGlRIMKoa40dkoVIWSVDrigUz0JlSXElfQpgUf0LPx+P8tWMX1RlBf5gAF5akEhmne3gVKYlI9B4nv0Q21thoaGGAUglJCMMSJiBBVk0bWtVisfdqBUKvH000/j1KlT2Lp1K1asWMFV5rRR5XmwldpIxVBY2sSXLl3C8ePHeRyiN1dfX8/tSzKZDDQaDWpra9m4AMDKFAB3JxCFCRm/b775JrZs2VLQoKYfMbxXSUVcbMOK4xD/pkVP+c30fzoxhkJ/wKwQaWxs5HVAKIJobO3atQsHDx7EH/3RH8Fut3N+o5j/KzfQ5GjdQoRLPodgLmUjGsn5wvW1tbVcKU0FeXRUIUUnKFeRcvzou1TgJzoAtM7ElkBitwdylvLN62pTLBbj4yoVitnTYZ555hkAYPRUNHgp35XysTKZDILBIAYHB7Fhw4YreC+uhWJGh3xPzZfmur74WnwvlUrhq1/9Kjo7O3HHHXfg4sWLXDmeTqfR19eHjRs3wmg0wul0wmAwcH4myRoK83m9XkYQiXeUu0bHaIo9dfNVVcvXQyHEvly+lLLGlMrZE9Y6Ojrwne98B3/wB3/AXQRCoRAOHTqExsZGdl4IVYpGo7wf6HAPOvZUp9Oxg1tTUwO3281HS1Nuvclk4uhHpR3++VCxMTidTjzwwAN4/PHHOT+RDHcqeqXCNUmSGCihKGgoFEJzczMcDscVEbu5SA4WLZREOV3of3IqZLDRd6gdGPXMpu4so6OjSKfTbG8As4d8XLx4kbt4iNctNKZ3an3kkyOF/kek0WggSRLX41DnDUmSOI2TnDYCRogIXRXfI6eadK7YnhK48hTUUtfLvJFXUXjLX9PvUowXmsDdd9+NBx54AIODg+wBESOo6MRgMORUzNM9iNlNTU2MTIbDYbhcLjz55JOor6/H7bffjra2NtTV1TEjRU+x3GRh+Zzm8u5EflC432Qyoba2FlNTU2yIqNVqmEwm+Hw+OBwO2Gw22O12uFwuuFwuNtJo4RgMhpwGysCscUsdGP7kT/6EkQXR65Eb7pXw/uQ8Ef8mHsnTR8hAIHTV6/XiscceQyKRyPGmSZGS90utkGitpFIpPtudlDPxKBgMYvv27TAYDFi1ahUXueRrH5Yv3zPfnEqlYlGHfO/NJWzooIFsdva4PlJCVD0dDocZbZ6YmGCDhqqjw+EwYrFY3iIt+p3PeJen3FTKeC3FOKQfQklpfN/4xjewevVqPPbYY6ivr8c111zDp8OISCAZrbQuKG8cuJyOIqYI0LohhFIcA71e7OI9OS/kzs/hw4fhcrmQTCZht9u5yDMejyMej+OFF15Ac3MzOjs7eb2Q407GSSKRQCAQQCAQ4FN0aG7isdLd3d2cdiTKEOKbHHFcKIIkR53lAAO9JyJcBoMBLS0tUKvV2LRpE3eiSCQSOHbsGNasWcOHLlAIkxQvpRdQ2gTlfwaDQW5I73A4MDw8nBOZuPnmm7F8+XJeO+QkEnItXzcLoWLXKOV/CsVset0f/MEf4ODBgxgcHOQ5UoN+6mYjOkGEvCkUl3umy52SfM5LsTEu1KmRR4Lm+rw4RiI6AIj0Lr1HtgCtfXk3IpLBtGZI7pITk6+gmN7Pp1cquTbkz6Yco1m8Bjn6JCPIaPf7/Vfk/BKiStGuRCLBrRhDoRCsViv0ej2nTNK+oyJ7ADk2WKFx5aN5n7BVClNKCTUqFArO9bRYLPD5fFizZg28Xi+HZygnjQzTfMaiUqmEw+HIQY5ImLhcLvzv//4vamtrcdNNN6GnpwdNTU1XnDK0ECpVgEiShM7OTlx//fUYHx9HX18fgMuhJaqkHhkZyUGKqSCLKoCDwSBMJlNeY0Kv1+PjH/84li1bdkVhmPxHXPCVUMiFDDOx4wE5G6QIyXAdGRnBnj17cOjQIfbWALDBQiFySZo9GpMMfTpJSqlU5py6RshCKpXC9PQ0Ll68mNOZgASyyEN6BvRbngu7UH7k8/qL8U7838TERE5jdMrbCwaDfOQrHRPs9Xo51YR6KSuVSkaZiKcikiY6EsRHeTFOsbmUy5diPC3kWG3evBkHDx5ETU0Nt9VramoCMLvuI5EIf5ZQA1FeSJLExxwajUYOkcmriOVzI97IDSm5sV9pXsidF7rnd7/7XQ5tnzx5knPlCfGQJAmjo6PsxIqHoiiVs32Qqb2Nz+fj46fFfrjArKN94sQJ3HDDDTm9GolE5Syfz2I4woXep/s1NTXhoYcewgsvvICnnnoKfX19iMfjCAaDLAtERD6VSiESibBcInmoUCi4+0IsFsPo6GhO+ohWq2WwRD4OMfVirjksFhVaN6QXCW2NxWKIRqOYnJzk7h2UH0/IvEIxG0qma8nnS78LzbfQ+/MFA+i7c62vQveSJAl9fX14+OGHodPpcMMNN8BqtbKeApDTllIEUej709PTePbZZxEIBLB8+XJcf/31LEsK8aTQeBcDlZ7vepOk2c5GlEJGLUyp8Jd0NTDrpBHIpNVq+bS29vb2HMCD/p6ZmWEUu7W1lXU4AE5JKsURIqrI8bDyPC3xIcu/IzeePB4P9u/fj927dyMej2PZsmUc3qXQIClm0cuX59wQE+g0CLGqjSgQCGDnzp04ePAg3vve92LlypWsAOeLvOb7Tj7Ym+abzWaxatUq/NEf/RG+9rWvwWAwcMEVGVQmkwldXV04ffo0ZmZmOHxDi4Z6L9LJLvINTQtEDs/Lx5LvOZay2ebDE0maDTnMzMzA5/Nx/iqljJw+fRovvvgijh8/jlAoxIgZ9Yyjnr3kFRNqTYdbkFELzK4NCvXRZkgmk3j++ecRDocxMTGBD33oQyzI8yFH+eY+X8RAbjwV45n4f5fLhb6+Ps6DfuWVV+BwOLB69Wo+LYmOMBRDwgDYWCE+0/6gvqfkCMhTJ8QUA5FEVF+O1s6XykFrgNnnet9992HZsmVoa2vDypUrkUwmUVtbi1AoxIWb8jHnQzkokkOdKmgdyoWn6OTJndB8BvZ8+SCOtxgPgMupQWRYDA0N8bMkA4v2/fj4OAKBAKMj9H0yVql1llhEIc6Z3ieDT+7M5UshmGutl8KPYsZ8oWgG3dtsNuPaa6/FiRMncOzYMWSzWY62kIFCPXHJ2BeBDADcbk/sqU3yKp1OY/Xq1Vi/fj07i6KxWi6CVIwPxdZGsXvk+5scWqoToEJPo9GIeDzOhTgiwq5SqWAwGK6IQhS6PxnvYmRnoftDJLkRme//hUhcO5Si19jYyCkilCpDzrvYF1i+3z0eDwNKK1eu5MNQ5MWvhZ5fJZ0ZcV7FZPNc4EgoFILf70djYyMsFgtCoVBOsR7tLzGNk5BXivjU1NSgrq6OASSSMVqtlvPmqbUn5aUDs/vPbDbn9Cqfi+ad8zrX/wr9LSI8g4ODeOWVV9Db28utFUh5UkU9CU9RaRLKJhYhEWKg0+kwMzOTd7GQ1+B2u/Hqq6/i7NmzWLVqFTZs2ACbzVYuK3KuPZfhLv6oVCp0dHTgM5/5DB544IGcZvwAOM+1qakJQ0NDcLlcXHBBwsRisbDQFPMRFQoFVqxYwflL4rjkydJioUGl8pIKzZ8Ws9Fo5GT4yclJzm89fvw4vF4vh2LEjhLAZeNVr9dzb2DqNCAislSgZzKZ4Ha7c+YVDAbxwgsvwOFwQKfT4YMf/CCHAQmVkPNHFESV5EehzwGzDtiLL76I3bt3o7e3F263G9FoFMFgEJ/97Geh1Wqh1+thMBhgMBiQzc6eUS6iSpI0W/xG7bJonVBI+UMf+hDsdjunFIhhdXHOdC3x9Jxi8yiFH/JrlLLuSGjqdDp84AMfyDn5RdwHonwhoudL/LHZbFi/fj07QsDlIlCxfYvYtJ7GUEmlQ/Mv9jrf+9lsFq2trRgaGiroaBEqks3OFn6KhZ1ilMftdnOKBL0nopBarRYbNmzIiZKQvMhnzMsN20rwJZ8sl78nGpCxWAyRSAR2ux1GoxGhUIjnIq5z0WAV13wwGEQsFkNtbS2WLl2K8fFxjI+Ps26i9wntFltoLRaVY8TKKR6Po7e3F8PDw1wVDoBT1wiRpygWObt0mhjxLRgMYs+ePXj/+9/PwAk9C3m4XJSjc82pHCrFYC22p+jvxsZGvO9974PBYOCDPWivE49EWUhE8pUQ+xUrVqCuro73mdlsZpkkB/UWOvdSaL48jcViOH/+PDKZ2dMbY7EYp+RRjYTo1BJRFAu4bLfU1NQwuEK55yS7g8EgVCoVtyEj/U1H8VJEjPoQF6OyjNdyPah8i0aSZsN2v/3tb3HgwIGcNlBkqFIzfgpjkBIRQ72iIiEhmUwmMT4+zt4A3U/uDWYyGUQiEQwMDGBqagrnzp3DkiVLyn7wIj/kvJG/L4fQtVotrr32WjQ2NnKBlVar5YWv0Whgs9lQV1fHoRwK3xDcLkeh6V50Mky+HmtiU3qRp/Q+CSL585svX0SilIiGhgY8+eSTmJmZ4aPoqGCClIFYAU4KValUwmKxwG63c8iPctLomRN66PF4rngWarWaK0W3bdsGl8uFD3/4w2hra2OlK4ZM5xJA8+WDfFwiZbNZbNu2Db/4xS/gcrlY0RAKTafPUbcJOgEHAB8RS8qH8veIP5RWsXfvXvT19aG+vh5WqxW33XYbHA4HFyCICp7GJD7DhSCvxJNSDRulUpnT01Y86lU0QkRjJJFIXNGFQ1z/lPssOkg0HgpfiTKlUF/XhRgUIi8KvZZ/Np1OY3R0FC6XC42NjTnGouhskYNLjptYnCrKTEmSGLkX17o4hg984APo6OjgFAxRfojOXj7Dfj6RimI8lYMEdE9ybEnOazQa1NTUoKGhgY+zJFSNxixWP9M9CSyhXL9NmzZh1apVuPnmm9Hb24s33ngDWq0WNTU1mJiYwDPPPAOXy4VbbrmFFT3xVTTmK0nlyBNJkjA0NIT//u//xooVKxj0AZAj54h/JpOJdS1w2WGktRGNRtHf3499+/bhgx/8IO644w6en5hWIwIii0XyvTjXZ+V7y2w2cz1JKBTC8PAwO2fUvQIAp+nR98Xq+nQ6jcbGRtjtdpbLsViM11mxQujFcIKLRSsKEc1ncHAQU1NTWLVqFdLpNDZt2oRTp06xXPF6vdwSi75DBjsdQ53Nzh5eYbVaUVNTA6PRiGg0yuAJ6SACXzweD3e3IFlMKTzpdJpTOQpRRY6HBYovJvHBT0xM4JFHHmE0iTa8eFLO5OQkurq6chKnxdYeouACwCEhygckBE5UkPkKb6gt1/DwMFwuFxdxzJcHxRYQ3Z82hiRJePbZZ5FKpVgZ2+12rgSVJImPPSWDRAxlkCCiMFlHRweGh4cBAG63G9PT07Db7ZyHQuikaJzIlR7NQzT058OLQhs1lUrhBz/4Afr6+tDf388FEpQ8L+ZhEq+AyyhSX18famtr0drayifpEFpGPI5EIpyCIjdaxLCfy+XCjh07cOzYMdx+++245557uBUIkBtyXoigKfW7tHb6+vrw3HPPYWRkJKdwBgCnUFCkgQoPReeODHQSJGKBE/G0pqYG586d4+jG22+/jc2bN+MP//AP0dTUlBPlIGNIni5QSRQyH8omSVJOBwSNRsMVweIeUygU+OQnP4nt27fz3hKRU1LAVCRJnr7Vas0JbdJv+gyhj1QEJ3a+KIT0LMSILfZ+MBjEhQsXEA6HMTg4CLVaDYvFwulEItEzJ2VC60KeU0b8cbvdOUduE1H3FqVSiZMnT2LDhg0cBlQoFCxL6JqFUqXK5YNcthdaZ+JnX375ZW6YTweUOJ1OLFu2DFarlU8DojQLes6ErNF1yFmORqNoaGjAhg0b0N7eju7ubqxcuZJz8SkK0t/fD4/Hg+HhYWzcuBFbtmzJadEGIMeAmY9MnWtt5QNM6P7f+MY3cOjQIZhMJtxwww3IZrOcz5rPwBSdd9pzYmcBesa1tbX40Y9+hP/5n//Bo48+mnOgTL4ajMWgcq4v6jWRRw6HAwMDA1i/fj3sdjv279/P8pRkjVgTQP8DZo2+devWYdWqVVz0CYC7vJAzk+/5ixFj8f2FUrlyKJlM4je/+Q2uueYaXLhwAc3NzZzb2tzcjP3790OlUsFqtcJgMMDn82F8fJx7uFKaFj3/ZDIJh8OB2tpamM1m1ld6vT5HT6dSKVitVoyMjCCRSFyBbk9NTaGuro7vU4gWlPOaL4QobibxIaXTafzXf/0XhoeHryiOEBdVNpvlQgSHw8GCkgxNUtDyjTI8PMx9YclIESmfQSaik9Q+Zb68yPeaBKy48dVqNQ4dOoSenh7uU+pwONDW1gatVsvns1NVOSGvarUak5OTOSFSQqDNZjNWrFiB4eHhHASJku5FJEoslgJye9HRmMUwcrm8KKRostksTpw4gYMHD2JmZoZDNaRMaNOQ4SBfYyRQ3nzzTahUKjbYKW81nU5jaGgIly5d4tw+ed6VqFQoLDYzM4Nf//rXOHPmDP7mb/6G15xIC0EaS+GZ+Pfo6CiPX1yb5LxQJIJ6vBJSJDpy9Lzl16fXVDlN4cJQKIS9e/fCYDDg/vvvh9PpzAkFimhbKeHAUudaDF2jnG1xDIVa9FCLPFEpk0FPKCSlnKhUKnzlK1/hPDdRDpGxTIYN7TGbzcZnv1fSaBfnW2jfnD9/HhMTE/B6vSzMlUolH0JALY1IxlL+IkVxCCUho1Y8spEON6CT6Wgcdrsd69ev5/Xn8/lw5MgR6HQ6LF++HJ2dnTk5nqJsJfkxXz7l+04+PUP33b17N5588kn84he/wP33389OqEajgdPpRGtrK/crFZFlEe0R7xOPx2E2m3Hddddhw4YNaG1thUKhwI9//GPOxyN91dTUhJmZGfT19eHgwYN46qmnsHTpUmzevBnXX389G/j55lEJvsj/T8hhNBrFPffcw11srrnmGnZqKX+Rrica73R6kijHCTiQo7R+vx+Tk5PcJWj16tU5ETI5XxfD0RWvL0bI8iGto6Oj0Gq1jOapVCpYLBY2ytrb23HffffhiSeegCRJOXyS530C4PB6Q0MDp2yJsjIajeYcagDkj0TQMwNwxXqsJI/yfWb//v1ctEddSUjuWa1WfPzjH8f27ds5ukmdmkg/EaAIgIGoxsZGbu1J3yO7A7gMEBBYR8dW63Q6lktiyhPdKx8tKOe1kLEiElWRP/roo/B4PAW/Iy66RCLBVrnD4YBer4dCoeAWJqLwpSR0MjyJOfkERSFPRzRi50si8lAMSZEkCb29vejs7ORx+Hw++P1+fOhDH0JtbS1vGDF/EwCfiiM3XpXK2fPqqQcqIWpiuw+6v7hZRORVfAaVyH8VjeFIJIKJiQn8/d//PcbGxrhVk1jNrlBcPnxARP3knyNlHAqFcPbsWfT29vL3xepHuaGTzyAlI0ehUODUqVPYtm0b/uzP/ozHICr0fNeoNEnS7KlqW7ZswaVLl9grFQsnKOwpGgliKJCEhNh/T2zvIxbd0Hqknpc7d+7Erl27cMMNN+C+++5Dd3c3G37imhZTTCpNciVKfKH5yp8FGU733Xcffv3rXzPKCIAPbxBzt/R6PRobGzmvTX5kLIW4KF2AHAS73c7yK9+YK0k0nkuXLuHChQuIxWJc/azX6+FyuaBWq7F582aMjIzA5XIhHo+z46LX62EymWA0GlmGiKlUxDdq80PGK62rrq4uGI3GnDScqakpmM1mnD9/HmNjY7BarVi/fj23CCI+0HoV9/F85i/KUjmiSH1s33jjDQwPD8Pr9eKWW27Bq6++ijfeeAMPPvggtFotGhsbsXnzZkxOTgK43ApJdJBFozuZTLIi/8xnPsMn9/3rv/4rotEoH/pAMtblcjEaZ7fbodfrMTMzg507d+JXv/oV7r77btx2221sFFAkqVxeiPwt9BnSh//3//5fPPHEE6z0JUni/USylJweMhREA1UEP2jNUIEXMLtuPB4Pv56YmMAXv/hFfOITn8Cf/umfcgGkOHZR31ba+ZuLyKkjWeD3+xmdVygUqKurw8TEBJqammAwGPCpT30Ke/fuhdvtZmNSrgdUKhU2bdqE2267LaebCXC59R7xjVK2RDkt6qdKEO2RufYcpUsGAgF4vV7s3bsXd9xxB0cjqbc8rW9Ki3C73ey00LHSIjhCiL7D4UBraytsNhu++93vYnR0NAdUufHGG3HfffdxvUZ9fT36+voY2SWidTozM1N03hXpNpDvfTJaduzYgaNHj/IRa/kMRDJS5JWto6OjGB8f58IcSZpNB5iZmWFBI1YCksGWLyQiUr73SzHES5mzHEkRc07p/XvuuQfpdBodHR0cnhDPUydUkNABWlzyHBqxSIXyH1UqFdatW8fHXlosFjZmyTCVGy+iwSqGz+ajfPLx0GAw4KGHHuLiEEJZxQ0togFyz180lsQQFX1PVHTyMI18HoTUkkFI6IhKpcKbb76Jj3/844y+isU7C0mjIJILbvlakaTZVJGlS5fib//2b/H444/D7XbzyXGxWIxPOxHnA1xeZ8RHMRdRzAck5S/uNzHsk8lksHfvXgSDQXR0dOCee+5BU1NTTgNz0UCZDz/kfBCvQ4KLBKRosNJ3M5lMTvUz5UI7nU7O4SSlTcn/dK3bb7+dozcmkyknl5P4mEgk4Pf7eR1QyxyHw8E52uK4K+XoifyYmJjA2NgYN4kn4yeZTKKurg6XLl1CU1MTHx8tVz5Wq5WrfkUkVJ4+ZTab4fP5chRfbW0tAHCBJaH8qVSKj8yMxWL47W9/i/Xr13Ou9ELWRSGeiNfKZrOYnp7Gtm3buDsE5eedPXsWOp0OLpcL3/72t/H3f//3iMVi2Lp1K0d66BrEB0KixQiHVqvFl770JahUKkQiEWzbtg3nzp3jE5YoFSsYDGLdunWYnJyEz+eD0+nMOWXI6XSiv78fO3fuxAc/+ME58/dK4UMhdD4YDOLUqVP4j//4Dxw9ejTnJLl0Os2tj+RGDskC4PJJe7Tf6FlSlFRMpzp58iSfzpbNzna+ePjhh+FyufC5z30OS5cuzek9Lpd5+f4ulfKBCXIZTzqOquCBWR0UCoWg0+kwPDyMlpYWXkPJZBJjY2NYunQpNBoNbr75Zu5WcfjwYaTTaW4tl81m0dTUhNtvv53lLTkBtKYUCgW3oKPCIwIQxFPeKun0FroWGe+RSASjo6P8WSqcIidHbIUlOjFbt27Ftm3b2A6h6FQymeTerj6fDzU1Nejq6uIajObmZtTV1WF4eJg7uxw/fhxqtRp33303t16rqalhh5t0FP1tt9uLrpEF4dTFDL5QKITf/OY3OH78eE64QlS2RKJAJYNMLFShFh5yZFM0WgkxEZW4nOSGQr75lEv5eJBvg5IwIIXx5JNP4h//8R95cymVSpw/fx7XXnstOjs7r+CLfKOKc4lGo+jr6+PCL7/fj6mpKbS0tOR4wuJ4RcSV7iUa3JVMuJ+cnMT58+f5ZA4AOWuBxkX8EQ1GvV7P1dLyHDW50SN/vqIwFg0O0TiKRqMwGAxIpVKIxWJ49dVXce+99/JnREEzH37kW3Pi+hCv6fF40Nvby2HhL3/5y5iensaPf/xjbnEjVjiT8a/X69nwJD7J22ARD0jB5jMeSXA1NTXh+uuvh9PpxKFDh9DR0YF169axAUv8nq/yIZIbsqKhLS+4pBQHcT3Lw5/vf//78cQTTzBvKGxFSJNOp0NXV1fO+hILdwhhyGazcDgc3EeZHGdydqj/9HwdvLkokUhwlxFCXaniO5lMQqfTobm5GW63m9v9eDyenFSp+vp6rvolx4TaOhHfrFYrWltbIUlSzpoghJ9CfoS2iA4jOdenT5/mVKd8RZ8LJXGNDQ4O4vnnn+em+h6PB0ajET6fDy0tLQgEAqitrUVfXx8eeOAB3Hvvvairq8PHP/5xbNu2jXNegcu1B6SXaO1TrUUsFsORI0dw5swZXnMqlYoBAYvFwkhUNBrlNUbXIf2lVCoxNTXFPC137vmMeACMzE9PT+OFF17Ac889x31ZxfQIMlDF69Azop94PM58IMeQ0gzEnp60TkRHgK4pSRJ27tyJffv24Utf+hI2bdqE5cuX55wMWSnKt+dE2RoOhxGNRmE2m3OifCaTiY+Or6ur4/1gs9kwMTEBq9XKBUR6vR5btmzBddddxymFU1NTrC8o15ycBBFIItkYDodhNpv5GRBKn69FYSXkSL5ruN1ujI2NAQAfsQ4AMzMznDdPBdKijqP8cYVCgQ984APYv38/R1koJZEc65qaGjQ1NWHNmjVoamrCwYMHYTabsWnTJnYIFAoFXC4XjEZjTns5imgFAgEuMBaBlWJ8mXfaQCHDlTwxQlxJqYoeudywFKuCAeS055BvRJoQoXBiqxxier570HXF+xEtRNAWC4PI83rJOOvv78fzzz+fU1ijUCgwMjKCkydPora2lqs8CXmkhS8POSSTSQwODqK3t5eF85kzZ3DhwgWo1WrceuutjCiQwShuMNE7lofqFrKhxHXy85//nENsIk/oM1arlTskECpI8yRFICKJQO4pNjqdDsuWLeOelqRUCHGQI09iTi8JGUpJ2b17Nz74wQ/yJpKjtgvlR773UqkUhoaGsH37duzatQu///u/j5aWFiiVs70Ib731Vmzfvh0AODdJNOYpVE7XIydB3BMiwlhsvXZ0dOCjH/0op680NzdjdHQUdrsd3d3dOWtkPvumGGoi77csOqEejwd1dXWYmZnhPHBJknI6BpChRmuakAKiDRs2XLF+KFc6HA7DbrejpaWF1wzNjyqJAfA6kYfgic/z5QeRQqHA4OAgH8kJgPcvAHZcDAYDpzO0tbVhdHQ0xzGz2Wwwm82srMg5IyCB5AA126fTqEKhEEwmE+d3Dg4OYu3atbzexJxIhWK2LdXY2Bg6OzuvQJQqEbmha7jdbrz44otIJBJ86lMwGMwpUKSivPr6ely8eBEPPPAAtm7dig0bNmD16tU4ffo0rw/Kp5Mb3B/5yEcQjUb5XHuHw8GIN6FVtNcSiQRWrVqFQ4cOcY5jMplkB5EQu3379vERvfMlUW5Go1G8+uqr+PnPf46RkZErDqcgoj0SCoUwODiI+vp6lgnUq5OMKSrspTVEAFIymcxB24aGhhCJRHIcXnHdh8Nh/PCHP0RnZyd+7/d+j+VXvnSC+eqXQrpJoVAgEolgeHgYVqsVZrMZHo+HnSuKWnziE5/gftc0R9LLdCysKIOIZ+QwjY2N4dKlS4hGo9wLtaWlBfX19XwfavkoFjYaDAZGLEUEVoyOzIcXIgggB7UoKiNJlwtgfT4fXC4XbDYb1Go1o+SiTH/zzTcRDAaxdetW2O12dHV1IR6P8+dJhtA8brnlFlitVrjdbkxNTaG1tZWLHenwhsnJScTjcW7zSeABFeNSLQetNZJdhWheyGuhsDswu2HOnz+Pw4cP5yhLseBD/pDkG4GMFmJMPq8RuKyA5CR/T0T76D7yDSSigvPlRb7vi6hXMpnEkSNH8NJLL3FPNXk/0z179qCmpgYbN25k5Ij+L/KDCph6e3tx8uRJ9obpOolEArt374ZGo8Gtt97KAlusuCV+igpffE4LDZXTxqJ0ARHZpXm/5z3vQX19PdxuN/r6+vhkMWDWGKAec2J4X6T3vOc9WLFiBdra2jA9PY1f/OIXaGhowPr16/Hiiy/ys6Y1JRqwIr/Io/b5fBgdHeUUDJE/CzFOCq0tCk0eOXIEx44dQzqdxs6dO/GZz3yG0z3oNJJwOAyFQoHly5ejr68vxzuVFxnRsxb3C81j5cqVGB4e5iR7+n97ezvuuOMO2Gw2Hu++fftw9uxZTE9P44477uDTU8Sc1Pnwg8ZN75GxmS/MmE6nYTabodVqOWxNYSyqdgVm5cENN9yAl19+mfcOoQmJRAJr167NuTcJ9ObmZu5HKJcx8udHgpsalIvrqBIIUzab5T6jZDgQKkaGGj13h8OBqakptLe3M/IXjUa540ptbS2nElDPTspvJMVD1yZku6WlhU8zjEQiOWiuKG9FvoyPj6O1tTVHUVcKlab7nD59mgsWySgMBoO8FoDLx2JTmtnFixfx4osvwul04qabboLVasWhQ4dYFooFo8BsiDSZTHK7np6eHrhcLpw+fRqpVApOpxMA2FmktIPW1laMjY1x+g0RGbDT09M4deoUrr322nnPn2h8fBzbt2/HY489xql4cnBI/l2Xy4UjR47gpptuymmXJUeDSc6KDj6hiplMBoFAABcuXOBcfHkKirh3h4aG8KMf/QgmkwnHjh3D6tWrcffdd1/xnfnyQ/5dAjkGBwcRDAZRX1/PnSGoLzjtIa/Xi7Nnz+Lw4cNQKBRYsmRJzjG4S5Ysgc1mywE9FIrZVIC3334bR44cgcfjgUqlgs/nQ0NDA7LZLOd46vV6vj/1SyUHVKlUsoMjOsnz3StyGUo6NxAIcGsrkktUBB4MBqFUKrkrgAjq+Xw+7NmzB08++SRqa2uxdetWGI1GrF69Gl6vl/u6ioVUK1euRFdXFxKJBM6fPw+9Xo+uri7U1NRwZJCAELFojsZMTkY0GmXgSTxhsxAt+JACucAm1JW8GlKYcy1UeR4ZkRi+FjdMIYNCHo7ON0b5azE3phySK1n5HMUQ3dTUFHbu3Ilz586ht7eXwxny74RCIezYsQMnTpzA5z//eVbaFN6krgsXLlzA6dOnuQo5H298Ph9OnDiBtrY2rFmzJieHkD4DXDZ+5GNZqHEiSRKOHz+e068UuNzkW6lUoqurC4cOHUJ7ezve+973YnJyMsfbJQVjMpk4tCmOe9WqVdi4cSOUSiWcTifuvfdenDhxIuekJVL29DxIWIh5YJIksSJ88803sXr1ag5v0HfnY5wU+k4mk8HBgwexc+dO/Pa3v+VTkDKZDA4dOoT3vOc9WL16NQDA6XTihhtuwCuvvIITJ07gzjvvxF133YUXX3yRlS+FK0mRied0ixGNVatWwWKxYNeuXTljbGpqwp133omGhgZ+/8CBA3jzzTeRzWaxc+dOXLx4ETfddBNuu+02mM3msgWuqHjk35Wnt4ifJ8FPiCKhhNQqjT6nUqnQ3t6Onp4e9PX15Riud9xxR07et5jPbLVaryhkE8cgOneEvNGJMQsx5PPN1ePxsCNK65YUL+1dckD1ej1sNhtUKhU6Ozs5bEw5fJR+Qgi1qNzEdUNkMplY3mSzWZw6dQrr16/nfSIaeqK8i0QimJycxJIlSxZsxOdDXs+ePcsFjHTwyOTkZI4SpKgUXcNgMKC1tZWdw8HBQWzatAnr169Hb28vh4JpLSgUCixdupRTNGw2G0ZHR+H1ejltjVqQJRIJ1NfXw2g0IpvNorGxEb29vaipqWEnjAw/YLbV2fHjx7F58+YF8cXtduOhhx7Ciy++iHA4zPUShXgHzMqtRCKBvXv3wuFw4JprrmHHFrhczCnuCzKyKDpF+cCDg4Pwer05qVvifUUDivReMBjEU089hddeew2SJOHuu++uSERPvAahmQqFAj6fj43ySCSCVCqFeDyOqakpSNLswUiHDx/mKnuz2Qy73Y4VK1bgP//zP7FkyRLEYjE0NzfDbrez3MlkMnjmmWdw8uRJKJVKrFy5kvW60+mE3W7nfUB7WKVSIRAIcDG1mGdN4JNYDDufbgNyWaVQKBAOh/l0STEVRKGYzd8PBALcm1Wj0SASieA//uM/2HGbnp6Gw+HAxo0b0dvbi+7ubmg0GjQ1NcHr9bLhWltbC5vNhmuvvRbBYBBvvfUW6uvrsXHjRjQ1NV2hO8kxAi7rRapZog5L5DCLJ+IVorIPKcgXxidKpVJ48MEH2QARQ2vyMH4+b0NumNDDEB+qOHm50hCRVTmT6PqF5iU2Zy6HROOHSNzAhw8fxuuvv47p6WmMj49DoVCwByOGNMUxUweFf/7nf4ZGo4FGo0FjYyNisRhmZmY4pycajeZ4buI1lMrZ8+0TiQReeuklTE9P47bbbstBgsX8Y0KcxJSCSlRE7tq1C+Pj4znh6kgkApPJhJ6eHhw/fpzPDqcq96effppDWcBsjs0999wDrVaLxx57LAcdI2Tq5z//Of70T/8UmzZtwp49e7Bjx46cYi96HiSIyegR80TJMejv72d0RhTg8zXW5BSPx/Gtb30LFy9e5JN7CA0jpPlXv/oVvvvd7/JpamvXrsWFCxdw5swZ+Hw+dHd34zOf+QxOnTqFQ4cOsbIhp5GeL+0do9GIdevWYfny5XC5XDkop9PpxKc+9amcPrdvv/029u3bx8VK0WgUp0+fxsDAAPbs2YO/+7u/g8PhKIsfIv/EtUrPkXhOvBMVFX1XLIDQ6/U5eYwkBNetWwelUomBgQFe63V1dVfIDvoOyRgx71P8LaIMtEdEx0c+xlJJNCTpb5fLldMMnHLBgNyTwug9SrmhinadTscdIi5evIiWlhaeA3UQICeYcnjpNaEewOWDYsxmMytZcd/R3qJ5u91utLS0XPGMF8IP4uu+ffvg9/s5VcBsNiMQCPARucuWLUMymURLSwtXk1NqjdPpxOnTp6FWqxEOh9Hc3Ix0Oo1Lly6xYZ/NZnHXXXexQ0B5gCSv16xZgzNnzvCRsg0NDTCZTGhpaWEU0mQycXU5IfrxeByJRAIGgwEejwcul6ssfog8lCQJzz33HF544QWuARCjK8SrfDpVoVDA7/fjmWeegclkQkdHBxsz4pqn9UMGFhnhlNZ0+vTpos80HxpKz9Lj8eDf//3fYbVacfPNN+f9fCkkR/UlSeLcSzISyWkgZJq6CyiVShw8eBDLly/H5s2bufJ+6dKlqK2txZ//+Z/jtddew5o1a9Df349UKoWGhgaoVCq8+OKLOHbsGGpqarB69WpYLBZuzdna2oqmpiYEg0FotVr4/X5oNBq0tLTA6XTCaDTmoPzUiYCiPQQ2zKcbBXBZfysUCm4zSjyivUutqBKJBLfS02q1CIfD+P73v48zZ87AYrGgtrYWnZ2dWL16NTo7O6HVanHgwAFYrVZs2LCB0+kGBga4OFylUvHaaGpqglar5WPJgcuHmVD6lWhbUDSI9FckEuFTISkyVIgq0liMFnQwGMTExMQVDyGfUJfnMIrXAS7ngciRVTERXrw2CT55SFg0cPMZsnKDvFwSq91p3A899BBefvllbN68GefOnYPX6+WQFi1cUWCIYxIFt8vl4nn19/fnzEHMUSmEdmQyGQ6zHj58GH19fbjzzjuxfPlyNtYof4sMOXkYqRwSUXbapD6fL6eQgTzDPXv2YGxsjHt0OhwOPProo/jkJz8JhWI2d4na/xAv1q1bx4ijSL/61a8AAD/5yU+QTCbxl3/5l0gkEpiYmMBLL72ELVu2oLm5Gc8++yyGhoY4X0ck0ahPJBLweDzcpH0+homcJ3SPZ599Ftu2bcPQ0BAbDcR/Qs0oL+nJJ5/E7//+70OhUKClpQVr1qzBK6+8wo5AJBLB5s2bce2112J4eBivvfYazp8/z104TCYT1q9fj2uuuYbzh5LJJIeIVarZfn5/+qd/yoaJSqXCrl27sG/fvivmolQqEQ6HcebMGfzxH/8x/umf/qlsfuRzAqgqGrgs6IhfcqeQhB0ZCdQDWVRqNpsNGzZsgNFoxIkTJ3I6kuRzNuV/0zqlsYioAd1TLuPyOfOlkIjsEn9oHVAhjTxCQ+E/GpfVakUgEGAkkHLJxsfHGaG2Wq2IRqNsvGYyGXaYNBoNF28QYvXyyy/jYx/7WF6kS5Q5kUgEVqsVPp8PXq8Xdrs9R2nNh8S59vX1obe3l4sqSSZQZGF4eBhHjx7FkiVLMDU1hb6+PkxOTmLt2rVoaWlBJBLBkiVLsGXLFv4udXkZGhri+dC6ou4KZNSdPXuWj1UV15FoxFNkiPJaaf503CqlbDz++OPz4gcAnD9/Hi+//DJCodAVa09MjSqUOkCo5H/913/hq1/9Kpqbm7kCn47jFlsrRqNR6PV6eL1evPDCC9wmTr4n6dpyZF5O2ezsKU2kC+l75ZJcl5NjRk4EIcl0kiK1vyMDsru7GzqdDk6nE5lMBpOTk/ys29vbcc011yASiaC+vp77qu/btw/9/f3o6upCW1sbGhsbOVdYkmbbG1IuvM1mY+OwoaEBDQ0NnCpA4x0fH2ejjPQv9VteCJEhTzolnU5zNJHGKqKuKpWKD1XYvHkzVKrZdoyrV69GT08POwJ0wMWePXvg9/txxx13MEJbX1+P06dPY2hoCB/72MeQzc726S8EjolyMp8cpj0upjcVIkU5AlehUMwAGJ4fa38nqF2SpJLhpP8P8AMogydVfuRSlR+5VOVHLlX5kUtVfuRSlR+5VOXHlfT/AZ4U5EdZxmuVqlSlKlWpSlWqUpWq9E5SZZrxValKVapSlapUpSpVqUpXgarGa5WqVKUqValKVapSlX5nqGq8VqlKVapSlapUpSpV6XeGqsZrlapUpSpVqUpVqlKVfmeoarxWqUpVqlKVqlSlKlXpd4aqxmuVqlSlKlWpSlWqUpV+Z6hqvFapSlWqUpWqVKUqVel3hqrGa5WqVKUqValKVapSlX5nqGq8VqlKVapSlapUpSpV6XeGqsZrlapUpSpVqUpVqlKVfmeoarxWqUpVqlKVqlSlKlXpd4aqxmuVqlSlKlWpSlWqUpV+Z6hqvFapSlWqUpWqVKUqVel3hqrGa5WqVKUqValKVapSlX5nqGq8VqlKVapSlapUpSpV6XeGqsZrlapUpSpVqUpVqlKVfmdIXc6H6+vrpfb29gXdUKFQFPyfJEk5v+f6/EJIvAfRyMgI3G53yTesr6+XOjo6KjmsgiRJ0oJ5kW/Oc9GxY8fckiQ5Svns1eTHQmg+fCB6t/JDkiSkUinMzMwglUrB6XRCp9Mt2r2Ijh8/XhY/2traFmVMlaT5rA/6zsmTJ8viB8nTxZJz4tiuFi1kfbxT/FAoFIvCJ/k158uPYlQJXonjJF2zUJ1TCj/L4Yfdbl8U+UHzzGazSKfTAGZ5qlQqoVQqC/KB5leJtUPfP336dMn8ABZ3z8jXBPHh3WKTlWW8tre346233sp5r9hE8v2P3ss30Gw2i2QyiaGhIWQyGSQSCdhsNhgMBpjNZigUCqTTaWg0Guj1+pLGLG5E+fvyv2+44YaSrknU0dGBt99+O2deRAvd9JIkIZvNIpPJ8EYSryn/u5TNUwoP5O8ZDIbhUsct8iPfOIu9Vyrlm2c+wVvqNQpdr9Bn5suPSvFB/pzS6TQSiQTGxsbwyCOP4NSpU3C5XOjp6cEf//Efo7W1FV1dXXnvV8p6KPY5SZJgMplK5kdbWxv27t17xVgK8aEU/uQTsPn+Fn/TXiq0b0pZH/LX9J7dbi+ZH+3t7Tn7ZS6elLOu6XUqlUIymWRFLJcl8t+FrpXv/bn+Lnd9FONHvtdyKmRg0Hiy2SzzhHSJy+WCJEmwWCyora2FSqValH1CVC4/Dh48WHR+xd4v9j9xTLRGIpEIQqEQfD4fMpkM6urqYLfbYTQaoVarixpw8r/F18V+W63WsuTH7t27i86xVINSNFjj8TgGBwdx4sQJ/Mu//AsymQza29tx880347rrrkNPTw9qa2sBXJYdpJvLoWw2m3cc9L4kSWhvby+ZH8DC9wx9ptAzikajkCQJO3fuxLFjx7Bq1SqsXbsWbW1tiMfjiMfjaG9vh0qlyitz5X8Xeq/Q54vZZGUZr+VQOYJGkiSk02lkMhlcvHgRQ0NDsFqtOH36NPx+P5RKJcxmMwDA7/ejs7MTmzZtQnd3NzQaTUkLdbFJbjTNx2ulh59OpxGPx+HxeJBMJmE0GqFUKhEOh5FOp+F0OmGxWKBSqSo9jQVRoUWaTxlUwnAjfon3ncsAmGtTvZtJ7tQkEgn4/X4cOXIEzz33HA4cOACFQoFkMolgMIhjx45h7dq1+OY3v4lly5ZBr9dDqSwtU2ixkChxLqIjOxeyUega8tdknKRSKcTjcSSTSQBAMplEJpOB2WyGRqOBxWJhRVTuPBebN4VIvs6LKepsNguv1wufz4eRkRGEQiFotVoAgMlkQkNDAxoaGqDX66HVaq9wjv//gUT5IEkSPB4P+vr6MDg4CK1Wi2AwiOPHjyMUCqGmpgY333wzOjo6sHbt2rKN2FLH824gGkc8HkckEkFvby8uXbqEsbEx+Hw+3kPd3d1oa2tDT08Pli5dCpVKVbL8uJpzzQdQyXVFIaMulUph7969+O53v4vx8XH+35kzZ3Du3Dk8/vjjuPfee7Fy5Ups2rQJDocDSqXyivWRzWavuAc5S6XsLbkemy+Vo1vzfS6bzSIcDiMWi2FiYgJvvPEGurq6MD4+jkgkgu3bt+Opp57CjTfeiOPHj6O/vx/f//73cdNNN81brxebSzFakPFaCTRJkiQMDQ0hmUxCrVbjxRdfZOFCQjcQCCASiTB6kMlksGHDBtx111246667YLPZ5jRUFpsK3b8cfmQyGaTTaQwODmLPnj24dOkSlEolLBYLFAoFXC4XgsEgli5diq1bt2Lz5s1Qq9Vzbo5SxiGGiebLt0qjrHIS55HNZhGNRnHmzBnMzMxAoVBAq9VCkiSsXbsWDQ0N7A3KUba5jCUa97tF2QC5itjv9+P8+fMYHBzEuXPncOzYMQwPDyMWiyGbzUKn0yEUCgEADh48iO985zv4sz/7M6xbtw4WiwU6nS4vWiG/37uZ5M9SoVAgk8kgEong0KFDOH36NHw+H2KxGNLpNGKxGJRKJRobG9HW1oY77rgDdrudHUBxTRSLDsnH8E7xqdB9CRWanJzEyy+/jDNnzmBkZAQejwc6nQ7ZbBbZbBYtLS1YtmwZNm3ahJtuugk6nS7HGc7Hg3frmijm3EiShGQyiYGBAezYsQNvvvkmfD4fgx7JZJKjF6dPn0ZzczPuuecefPjDH+a0m3frvIvRXHI3lUrhyJEjOHToEI4cOYKZmRlIkgS1Wg2VSgW9Xg+Px4ORkRFcuHABn/jEJ9DY2MiODpAfWRbvXyoKWgkq5MjS/eXjot+hUAhPPPEExsbGctBYYFbH+P1+PPzww6ipqcENN9yAFStW4EMf+hCcTucV1y42hlI+WwldOR8UXvyfJEm4ePEinnrqKUxNTeHs2bOcSmEymdjhOX78OAMDf/d3f4e//du/xe23385ro9gzr9RaqDjyWu5D8Pl8+NnPfoapqSkkEgmcP38eExMTvJGUSiWy2Sw0Gg0br4lEAnv27MG5c+dw/vx5fP3rX0ddXV2lp1IxKoUnmUwGqVQKQ0ND+Ld/+zdcvHgRsVgMiUSClYparUY8HsepU6dw8uRJfOADH8CnP/1pmEymeTkNc9E7hcTkU5yENsZiMZw8eZKN1jNnzsDv9/NnEokEli1bho6ODrzvfe/Dtddey4p5LoNNpHejwspms4hEInjjjTewZ88eHDt2DB6PB6lUCpIkQa/Xs0ABwHvl1KlT+Jd/+ResXr0aH/3oR7Fp06YrDNj50EK+X6m1RdcJh8M4ceIEfvWrX+HSpUvs0NC+SqfTrJhramowPDyM+++/H42NjdDpdNBoNHnRtnz0blwbRJIkIRaL4bHHHsPevXsxMzODbDbLxrtSqUQ6nUYgEMCFCxfw1ltvYWRkBL//+79/hRxZaDTrasmPQugaGa7/+7//i9dffx39/f2YmZmBwWDgtDMyUNVqNRKJBKampvDLX/4SY2Nj+PjHP46mpqaC980Xbi1GV1OeFotaZDIZ/PKXv8Srr76KyclJRKNR1rEEoBAYMD09zby55ZZbsHTpUtTV1bFuLmcvyA2ahfKj2BzzOV1y5zSZTOKtt97CxYsX2anLZDI5xrlCoYBKpYLf78fLL7+M/fv3w+Px4MMf/jDa2tp4/RRKXaDX+Qx5EZDIZrMLjqTOBaAV2ycAMDo6iu3bt+P48eNQqVQMAIRCITZgCRBSqVRIJBJQq9UYGhrCQw89hGuuuQYOhwMajeaKay8GLch4nW+4j5TK+fPnsWfPHhw9ehRTU1PweDyIx+PIZDLIZDJQq9UwGAw5OSaiVzQ5OYnHH38c9fX1+NKXvsRhsXeC5vKw5vp/KpVCf38/Hn30URw7doyFCDCbKqHVanmjxONxDA0NYdu2bZiensY3vvGNOY2R+SyixQxjzCXE5MLn/PnzePbZZzE1NYXx8XGMjY2xoNHpdAgGg4hGozCZTPjtb3+LI0eO4MCBA7jxxhvxyU9+Ek6nkw2UUkLWVxMtKCWkRIb5+fPn8eabb+LUqVMYHR0FAHbw6IfCWuTwJRIJXLhwAW63G+l0Gt3d3Rz+KiVikY8XC+WNnO+lKqJ8/0+n03jrrbfwwAMPoL+/H6lUiuUH8Y74p1KpEI1G8T//8z84d+4c1q5di1WrVsFoNOLGG28sOZe+0JwqReWAAKKMSafTePrpp7Fz504Eg0GYTCZ4vV6EQiEolUro9XooFAokEglEo1F4PB488sgjSKfT+MM//EMYDIaKza3S+2eu/SKPzKTTaezZswcvvvgiPB4PAoEA0uk0stksgsEg1Go1MpkMDAYDMpkMkskk4vE4YrEYnnzySUSjUfzJn/xJQWCk3PlVes/M9X6+/yWTSTz44IPYuXMnvF4votEoUqkUywtglne0h4LBICRJwtjYGM6dO4dPfvKT2LJlC2pqahasb+fLj4VEA+jz8XgcTz31FP7zP/8TgUCAZSjZGvQ5ivQmk0k22J5++mlEIhF88pOfRFNTE9RqNbRabc7aA5DzWoz+yW0C+p0vJ3Y+c5srTS8fzxKJBF566SX85Cc/QTKZhE6ng8/ng1qtRjKZ5EhFOp2GSqXisSqVSoRCIRw+fBhf+tKX8Nd//de48cYbC96nWMSo3GdZ8bSBfP/LF7I9efIkvvGNb2BkZASSJCGRSOSE/0QmaTQaVj6SJLFiUqvVyGaz+OlPf4pbbrmFc5XoPvLxyJVgpYVrqbC8/L7pdBqhUAi7d+/Gb3/7W94kWq0WHo8nJ1cxnU5Dr9dDpVIhnU5jx44dCIVC+Id/+AdOLygXBVjM8E4xB6YQiWEdSZJw+PBh/PCHP8To6CiCwSDnBBNPDAYDlEoljEYjG6eBQAAzMzMYGhrC2bNnsXbtWnzhC1+AwWCAwWCYM9SV7/ViUKm5UJFIBGfPnsUTTzyBw4cPw+VysVAkPiQSCaRSKRgMBlgsFsTjceh0OsRiMSgUCkbbfD4fHI7LBa3ytSAiKoXWxkJ5UyiUV+yz+YzYbDYLt9uN73znOxgdHUUymcxRBqSI6HcikQAw6yweOnQIp06dwvLly/GFL3wBXq+XkYOrHXWQ36+c+4ufjUQi2Lt3L0KhEBQKBRto6XQa6XQaqVQKVqs1h9/T09PYvn07Ghsb8ZGPfCQvAl2KkzPXnCpBxdYI7RVyynp7e/Hoo49idHQUkUgE0WgUDocDiUQCkUiEC5GSySQ7NrFYDEajEW63G7/+9a+xefNm3HTTTWycFNoD+fZDpZHGUr+f79mR3nz88cfxxhtvIBQKcWSPQIB4PJ7j/ALgaEUymURvby/eeOMNOBwOrF69GvF4HFarNe/+FMdRzGApl/IZrnMZRGJuO6UW7dixAz/84Q8RCoWgVqt5z5Phnu+5EXg2MzODZ555BoFAAHfffTfWr1+fk75H9xINPAA5r+VobLkodiEq1YkRKZvN4uLFi/iXf/kXeL1eSJLEkZpQKAS73Y729na0tLRAo9EgnU7D7Xbj0qVL8Hg8SCQSyGazOHDgAO68807ccMMNzAfx/jQ+Ub/Lx17Ofllw2kApCIF8kH6/H0888QR6e3tZmZBBShuJjDPyAFUqFVQqFaOytBBJIX32s5/F/v37YbFYShrDYlCp6JH8/Uwmg+PHj2P79u2MMFOInIx5g8HAoQX68fl8AIA9e/bAbrfjr//6r9l7fjcgJXTNchEkcRGHQiH8/Oc/x9DQEBewkZAgZFoMiWq1Wmg0GjbawuEwXnrpJfz2t7/Fnj178IMf/ABNTU2wWq3QaDRFn8vVoFL4E4lE8Oyzz2Lfvn04c+YMxsbGOL/VYrEgEokgmUzyWhEFIQliqqodGBjAP/3TP+Ff//Vf4XA4oFareRz5xpbv70qT3LGd6zMiBYNBfO1rX8P4+HhOWJD2FTArW3Q6HaLRKF+DQumxWAxHjx7F0qVLoVQqsXXr1jnHmW8c7ySJxvozzzyDc+fOcQQrEokglUrBaDTyZ41GI68XqryfnJzEz372M3R2dmL9+vVF73W1Dfu5SK70CDHcuXMn8yIej0Ov10Ov18PpdOLcuXPw+XwwGo2ora3NUagURo/FYvirv/orbNu2DatXry65WGmxqJB+met5kFF28OBBPPfccwgEAkilUgDAAFEikYBSqUQymYRWq+XOP6KDnEgkcPDgQVgsFtTV1aGurq6kvbuYNNd9RQOa5nnmzBn85je/QSwWY6NTqVRypEav1yOVSvHcM5kM65V4PA4ACAQCeO2116BSqdDe3p4TIZYbr/JxkFyay/gul+brDKTTaZw4cYIBEYpQAsAHP/hBbNy4EVarFVarFcAsgKZUKhkc2rlzJ/x+PxKJBAYHBxGNRmE2mwsaqcXGUuy1nK7qbqSHe+bMGTzyyCOMtmq12hwoWq/Xc/iKHjQxla5DGyqZTHKrj8nJyQVD75WgchZjNpuFy+XC66+/zlXSVKRFC0ilUkGn03H4QqfTsVFPCNvBgwdx6NChnJDHXGPMhwK/U5RvHNlsFo8++ijOnDnDQoMEDf0t5gmR4a9SqWC1WrF06VI0NDQwj0+dOoXvfe97iMVi75q5z4VAZ7NZhEIhnD59GidOnIDX6+U1rlKpuKKeUAESFrSWSPhS1CIajeLIkSMYGhoquAaKOWGLSeXcj9Dob3/72zh58iQX62k0Gmg0GkaM1Gr1FcVIpLDoOtlsFtu3b8cvf/lLDA0NsVMk3qsUw/WdNOrIifd4PBzqBMBdXGpqatDY2Mhoo+gE0xoJBoPYu3cvYrEYX3c+iGslqNy1IFImk8G5c+ewd+9eeDweBINBKBQKLFu2DKtWrUJPTw+am5thNBpzeiOn02l+1oTap1IpPPTQQ/D7/XkNpXd6j8zl7AGz/PB4PHjllVcQDAZznDqSEQqFgiM3ZMiq1Wo4nU60tLRw3+hEIoGRkRHs37+f86dFg2w+cyiH5IheKYY7kSRJiMfjOH78OE6fPs1tN41GI8xmM7RaLWw2G2pra2G321FfXw+LxcKGqcViYaMsk8nA7/fjlVdewaVLl1gfyyM98vUkvldpHTTXteT3pfGMjY3hxz/+MUwmEzQaDcxmM5YsWYLPfe5zuOX/zXNesmQJ6urqUFNTg7q6OthsNrS1tWHlypX4vd/7PTQ3N0On02FgYICNYHFM5TyzUmlBxut8GE9CkoSqyWRCfX09mpubUVNTg5aWFmYQ9XYlAzWRSHBYUJ4DGwwG8Z3vfCcHmS02vneD4ULz8Pl8OH78OOehERpNIR3y+Ci0RUqaeEIL8NixY2yYye8z14bJ995iCmZxHIXG6/F4cOnSJX7uAHJao8kFGYVHw+Ew9Ho9Vq1aheuuuw7Nzc3QaDQIh8OcK0r968T7vxMG/Vz3S6fTmJmZgd/vx9TUFCKRCM+bjA4yRoDLISpCDsT9Qk5eNpvFww8/zPtkvnS1FHeh9fGb3/wGu3bt4rnJc7GIF2KPSnKgJUmCVquFXq+HJEkwGAxoaWnBSy+9BK/Xy3wrhsxfTcVTCk1MTKC3txdut5uLKQBwJMJms8FiseSkEpABQ634fv3rX2N6erqkMS62fJjv96LRKPbu3Yve3l6OynR3d2PLli246aabuPVTT08PampqoFAoEAqFcp456R2FQoE333wTw8PDV4STfxd0DHA5J/zAgQPw+XycAy32uyVdo9Pp0NDQgMbGRqxevRqbNm3C1q1bsWXLFnR1dUGhUHAqFuXLAii72EguuxeL5Maj2+3G4OAgp50Rgvz/a++7g+M8z/x+27B9gW3olQBJsInFokRRxeciS3K3bI8nvuTs5MbnjHNJJje++yO5mZskPp/nLpncH3F8F98lLmdbtuOz3C2JKpYoSiwiKVIsAIjeFgtge6/5A/N7+O7HXWDRqHiCZwYDYLHY7/2e732f8nuaXq8Xp5cGq8ViQalUQkNDA6xWKwqFAmw2m4BtwIqOfuWVVxCNRgVE4LlSjdnV9K9qSN5tKhaL+NM//VPMzc0hkUjAbDbj0KFDeP/734/+/n50dnaisbERVqsVRqMRFotF5IpOp4PFYkFnZyceffRRuFwuvPrqq9JyTKWNRK22PW1gPYugx3L+/HmUyyvdBPbt24fu7m40NjZK1bhOp0Mmk8GNGzdw69Yt2QQ8bEwpoLdHhXTz5k1BJklvF4q0VjiDGzaTyeCVV15BJBKRIgKj0YhkMileLXMXLRYLMpkMYrGYGPbJZFLCHWfPnsVjjz2GgYGBOzaL+gy069quQ1MPz9Xno66jVCrhzJkzuHr1qggCFS1TQ3hEj5j7WiwW0dLSArfbjcbGRhw9elQMklAohK9//ev40pe+BIfDcUfbl3rXvR5a7+epxnk+n8cPf/hDDA8PS6RBRc3Y/5jOjdForKgWpnLiGmi4zM7OIhwOo6WlpeY67qYwXS/SFgwGce7cOaRSqQphqqKqqpGaz+crUiTMZjNaWlrgcrkQjUaRSCRw9uxZvOMd78DY2Bj27t0rjcnV66rf1de3es9s5DNv3bqFmzdvimK22WxIpVJoaGgQ50+n0yGRSIiRT9nKqA6Rta6uLnGU/1+hesPDy8vLOHv2LKLRKABg9+7d+MAHPoDe3l74fD6k02lkMhksLi6iq6sLwWAQV69eld7ARO+ZflMsFvGDH/wAf/zHfwyv17tqtEK7Jj7HreBjLRS82utafnz3u99FMBgUwIPvUeWCxWJBW1ubAEhutxt+v18Q10wmg0gkglwuh/HxcYyOjqKxsbHq2uq5343wRAs08NrVzqZ6f5QFhUIBL7zwAvL5PJxOJ7q7u6HT6bC4uIhsNguz2Qy32y0RrXw+L206HQ6H2B5Maczn83juuefwgQ98QLoPqMNAKHO096Bd+9t1zubm5nD27FlkMhnodDp0dXVh//79aGtrg8fjgd1uh8ViETmhDk4yGo2w2WwoFAro7OzEgw8+iFOnTuGll17C0aNHxUZR71ulajmu6zkvW2K8rmYQVTNK5ubmkM1m0dvbi/vuuw+tra2w2+2IxWIieDOZDAqFgrTNUg8cAEELgBWUJZ/PIx6PY2RkBAcOHKjKlFpr3477V1+vdg1uhGQyiRdffBGpVKoCSTabzWKIsBch0yaKxWIFcgis5H3eunVLEq5Xu8960YLN8mY9joP2uszPXF5elhwbHhiGdalY+LeGhgYxzjweDywWC0wmE3p7e9Hd3Y2xsTEUCgUEg8EKj3i7jfl6DJFaz6xYLGJsbAyRSESEMZFEi8WCQ4cOoVwuIxAIYH5+HiaTSXL2LBYLPB4PIpFIRb6nTqfD9PQ0Tp8+jY985CPyebWe/XaeHe1nVRNo2veVy2UMDQ3h1KlTEupUc9dURaaGRXnvZrNZihC8Xi/0ej0uXLiApqYm7N69Gz09PXIWVeem1jOqZdRuhgf8vZ6wMAApogiFQoIiscctndxIJCJovJrnR+SNyNJTTz2F48ePS2FjLRm21n1vBT+0ym8tfpRKJQQCAbz11lvIZrPo7u7GQw89hD179sDr9cp0xuPHjyORSCAYDGJ+fh5ms1l6mlLeABCH8IUXXsCf/Mmf3JGWVs+9b9U5qSVPV+NLoVDAhQsXhB/aZ8ZUI7fbjb6+PvT29kpYmJEJFrL5/X74fD5MTk4ikUgIwk8Hutb9aq+5XfJ1rT3K1MNoNCrAl9/vh9PpRE9PD5LJJJaWluD1eqWYzel0YnZ2FvF4XNL0jEajoM60TQKBAHw+n0TCtIarakhX44cWkNkML3i9et77F3/xF1KoR374fD5YrVZBl1XwA8Ad62TXiY6ODrS3t+MHP/gBPvWpT2HPnj1r7oVaf7trxisvWI9nSIXscDiwf/9+ycOiMPV6vQBWhEZ7ezt6e3sxNDQkYY1yuSybgsqFnx+Px3Hu3Dns37+/LmW4FQJG+zDqMYRUwREMBhEKhZDJZOSh0eOzWCySl0X0EYDkvKoIE8N+zz77LPbv3w+73V51DfUow7cTbeG1FxYWcOnSJWmFxaR59rql90eEhL34TCaTjDRk+xObzYaBgQFMTk5KaAe4cyrKdodB14sulstlhEIhmM1mlMsrqSI8B0ajEV1dXbDZbOjr64PdbsfU1BRsNpsMIrDZbMhms/B6vXfktEWjUXz729/Ghz70oXU97+1SQNrPB2qf1WKxiImJCRnEoOYnatFCoiNqKzmLxYJdu3ahra1NlNHhw4dht9ths9nEcFUdxrXOx3ahJ7XkmJbi8TiuXLmCdDot1eGUCyrqxHPBtCMqWSqvRCKBt956S+TPavdba73bKT/WOkf5fB6vvPKK7I3BwUH09vbCbrdLtILV5WazWSJa+XweJpMJo6OjgrQZDAYJiy8vL+MXv/gFPvWpT63ZD/huy8/VZHo6ncZ3vvMdpNNpQd9LpVJF72uDwYDe3t4KXqkt06izWdy2sLCAcDiM8+fP47777qt4JhuRJRu5V0ZbtZ+jTSmj0ar+jTrAYDCIw2qxWJBOpyVlJhaLSbGj0WgU3UF9o8oFDnzo7OwU2asdl0oklj9rZRt5vFVUj74pFAp45plnJBLjcrlkRDLlH++f6ycPKTPUL6fTidbWVrz11lsCrtXjiPPv66UtM17rXZhOt5L43NnZiT179kh3ACJFDIGbTCb4/X60tbVJCxwyiYdQFcwNDQ1Ip9N4/vnn8dnPfrbCMFkNuq5n/fXcl/pavZ9VLBbx9a9/HalUSkIR5XJZFC27CwAQI4wHJ5FIyHvYVqxQKODcuXOIRqOw2Ww1nYm1aKvCXPVSNe8sGAzi5s2bACChcjWHk54qBRPRklwuJ4gr+dfQ0CBOAJE3tShH9dz/X1BKqoE4MjKCoaEhJJNJEXCcvU103uPxSDU187boDe/duxfZbBY2mw0zMzMVeY5XrlxBLBaDx+OpqnzeTidmtesvLi7ie9/7nhhnNMz4nakjquKiwLXb7Th69Cj8fj8aGxulMXtPT48Yr6VSSXIh7yayBtTnXFb7WyAQwI0bNyTXmZOQnE6nyMf29nY0NDSgUCgglUpVKCk1fMmintXQ+Hru4e3YP4VCASMjIwBWECGXyyWFKNwXKjJmNpvhcrnQ3t6OWCyG1tZWTE9PVxj+TL359re/jU9+8pNVQ8G16G6dp2r7Jp/P4/z587h69apE78rlsuQvulwu2Gw2tLa2Curq8/nE0C8Wi9L3lnvK6/XC6/ViZmYGw8PDWFxcRFtb25o6diudXu7TatX86nu0KLlaTEXgo6GhAQ0NDWKwM8WIXVzS6TSsVivsdjsuX76MQqEgnQdIrEtRnUQWs6n6mbJZGx6/2+eE11xaWqrouEP9QeOa0Uwa49Q9Ot3tDgypVEo6UfBsFQoFvPXWWzh48GBFLrS6B7YCRNyQ8bpeFEmlhoYGfOxjH0MgEEBvb68YFKoRohqqTqcTTqdTqj1p/ZOJAGTmcqlUwsjISIXRp653NXR4K2k1pFNFXbPZLM6dO4fl5WVRruosdgpQq9WKnp4euFwuBAIBJBIJOBwOaTxOFEWn02FkZATJZHJT97Ud/KhXKfPwc3IU9wZRIhrpfJ58zmpOI0PkRFf0ej18Pp84RSzi4CGuNzR5N4l8CYVCSKfTFb062UlhaGgI7e3tCIfD6OjowIEDB3Dt2jUMDAzA5XLBbDbD4XCgUCjA6XSiqakJIyMjCAaDcmaGh4dx4sSJimvWu7a3i2KxGK5fv458Pi9dBtQiTbVHNBEWk8kEl8uFw4cPo7m5GVarVRw85sm3tLTAZDKJcq9HwL7dvKAyDofDGB8fl/VQTra3t0tv6N7eXhiNRoRCIWSzWUHXVFCAPFxcXJQWUqtd+/8lKpdXirXOnTuHXC4Hv9+Prq6uO3LvtMAGozsul0vahM3NzQnyTsRteXkZ8XhcnL1qsmu1tW0XafUN9eP8/Dz+4R/+AYlEQvQqjXiHw4HBwUEpjm5ra0NTU5NMm1NDw6rBZ7FY5D2jo6OYm5t729qIrfYMqr2u0+kqQB8OQaLMoEHGQj21v3o6nYbb7RZZylHLNNwaGxsrJoJqDWVGczKZjIBQ2vVvNQ+1PFCvl8vl8Bd/8RcC7jB1gMi02mIRuN3Jh3qIOdB0bpiSQmegVgHaamdmvWdk3cZrPdYzUBu90+l0aGtrEwufyoWGB71DYMUo9fl86OvrQyAQkIcPVKYMUAARtdWuSV3LdgiR9RpnACSflw2x+Rp7M7LhfmNjI3p6etDV1QWr1Qqz2Yzx8XHodDopMOD/EXH7+c9/ji984QsVE1DuNpJaT/pEtb9RkASDQcnVUwu2VM9VRaW5n/R6Pdra2uRw8bO9Xi8aGhrEiKuFrG0n6qzux9Xewz2dz+dx5swZ8Y454tTv98PlcqG7uxv5fB7pdBqTk5PYv38/Ojs7pdiAU7RUwRyPxyUsWiwW8dWvflWMV+0613ptK3gBrL9YS81HpSJSDVjKFQBimPj9fhw5cgQtLS2w2+0SOub1VVRe21pLi45sJS+0e6LePaJSqVQSJ4cOPgC43W7odDrY7Xb09PRgYGAAmUwGBw4cwPDwsKAllCNUQEajEX/7t3+Lv/zLv1z3fVRb32aoliypxR/2mdTpdDh8+DB6e3vFSak2fIPOv8lkgsfjQTqdxsDAgDRfpzwwmUyIRCL43ve+hy984Qs1772e39d7/0Dt6GE13lBWsIhZRSCdTifa29sl35vV9qwRYGoWAEEmacyRf/y8ZDIpRXH1AENboYNr/W81XV9tXZShBIlSqRSmp6eRSCTgcrlkAh1lQiwWw+zsLJLJpKSvUeZQBun1eumgxOvRaKUxS5llNBqxvLwMl8tVYb8AGzdea9lZtd5XLt+uIVLbonHCHGUn938qlRI7gzwIh8M4d+4cAoEAFhYW4HQ6cfDgQXGA6NDUa4NtRH5sy3jYagtQfzebzWhvbxdlwcOiGihUtg6HAz09PRgeHkYwGKwIFau5i/SiVDj/blCtB7La5imVSkgkEvjzP//zOwxXCkqz2Yze3l50dXVhYGAAbrcb8Xgc4XBYGgSrlX/83FwuJ4UZbwcyshXXjMVieO2116SdCz+XXiGJBhhzgome7N69G62trSgUCrh+/ToikQgeeOAB+Hw+dHZ24gtf+ELN1i53A3nlNWopIdUAGx0dlRAvQzI9PT3o6+vDvn378PLLL6Ojo0M6LUxOTmJqagptbW3SBooOn91uR2trq+SsARAl93aEyFejWs5xubzS35WRC1WZArdlgvoZVqsV/f392Lt3r6AjzP+l8mBKQSgUgt1ur8ilX+v+6zE4N3v/ta5PtPH06dMVo7UBwOfzSV4vi5V0Oh08Hg+8Xi/C4XBFT1y1zdrY2Jg4xGs987cLgdXyqFgs4tlnn5WCRSKnzHUlqcgrjVeLxQKHw4GmpiZ4PB74fD7Mzc2JbEkkErBarTh//rwg/rXWtNrvW3Wvta5LwymbzeKll17C/Pw8MpmMIGwOhwP9/f1obm6Gy+WC3++Hw+GA0+kUY5XPnPfJMDn3SCKRkDSm4eFhyTVfa/1bQdUiqNXkKd+r/qzT6aSmplQqIRKJYHh4GEtLSxgdHZUIZ3d3N7q6upBMJjE7O4tr167JKG6bzVYxVYo2i9ojmGtRjVGtg822l0S51ejzVpDKo2p7h1Fabf90ytNCoYCFhQVMT09jeHgYmUwGra2tkh8cCARw+fJlRCIRpNNpSZvYt28fHA4HLl26hAMHDlS0tlxtrWv9XI3uSqssLbndbvzO7/wOpqam0NjYKAUp4XAYjY2NyOVykkthMBjQ0tKChx56CL/85S+lgbb2sJRKJWkLo1ag1+O5bjcaq30gNFBv3bolIXEa7FQuBw8exNGjR+Hz+aTyMxKJIBKJSFsxpgewepi5oRcuXEAqlapoGbbRe9hu0vKG/FC7ATBNQG1TAkAUC3C7O4PVaoXD4ZBcRofDgVwuh1wuh/vuuw8PPvggBgcHKwRLvUbHdiBuq/3OUa/MNwOAtrY2HD58WNDX973vfSiVSvB4PGLcsoUW91QikaioliWfmauVTCarTqartcbtQGHrTedRHVemBqhhOnWNOp0OLpcLDz/8MPr6+uByuRAOh7GwsCBOY3NzM5qamlAul/HUU0/hj//4j9fsMKCub633bIbqMRrL5ZVRyGfOnEG5XJbWNTwHTU1NaG5uhtvtlmfMfcL9xXPE0KHBYEA8Hq9pqNcbMt8KvqwFjmjlx/Xr16VDQEdHBzwej5wBFVVUnxtDoQBktHJPTw+Wl5dFudMpuHXrFpaWltDS0nIHUrZRJbxRWu3M6PV6/OxnP5MuEjSmLBYLGhsbK4xW9jVVO3bwnBF1pRyiTmFYeXh4uOpQD3V9W82LWuF21bBVz6b6xYgLjfmenh7s3r0bHR0dGBoaqqi8pxPgcDjQ1tYmURmXyyV51VxHT09PRZ0JP4NFcWqESKfTyRhiyuvtaEu3Gt/1er0U8al1AtSjCwsLeO211xAKhbC8vCwgUWNjo8hR7qdyuYyuri50dHQAWJEv3/ve9/Dkk0/KKOpa+nYzZ2Zbx8PWWoBer0dra6uM5+N0k3w+j/n5eUSjUUFgiQrs3bsXy8vLePnllytyOpkX6/V6sby8XIE41jIg61njVlC1h8E1T01NYWlpqUKI0khpbm7Grl270NraKvl53Pytra0YGBhAIBCQvrhE19gyLJvNSo7OZte9nVRrs0YiEVy/fl2UitrWRxUKfF1F0BgCjcViCAaDmJ6eRnNzM8xmMz7/+c+jpaXlDqN+LVRDu76N3OdGULlMJoOuri5cvXoVmUwGDQ0NOHLkiAxdYI4ikRKr1YrOzk5YLBbpKLC4uChzzJlWQoHFHn5qZXGt+93uPVEvssRcPlURaEktyDh06BA6Ozul9Qvzne12u1QQE9VeXl6WXo6rrYE/v12Io7oWojiBQADZbBZ2u12UI505FqJwupY6YatcXhmHOT09LRX3uVxO0nXU4qRazst2Ga78nHrPDou1+GyKxSIWFxelNaPL5cK+ffvEeE8kEggEAlheXkYoFILX6xVHhqH0cDiMYrEoZ4Qjp5ubm+vSKdvh8NaTYpLL5XD9+nXRlTwPXV1daG1tlSglI5WqA1goFJDJZBCNRjE3Nye6h+cnFovJubFarRINW2sfbJfzq5LWgNUCWNQZ7DTgdDoxMzODVCol6CER6lQqhXQ6LSlm4XBY0FKv14tAICCGGSN9PFtax1ZFVRkppgNAm+BuRo0NBgNOnjyJGzduSDGW3W6Hy+WSdJNwOCxo9fLyMoCVmqXW1lZEIhHJo7ZYLEgmkwgEAvD7/bBarQgEAojH43A6nVXRcmDzzt6W9Xkl1YNkUqiwt+ny8jLGx8cxNTUl+WZ+vx8ej0emWVgsFuzZswezs7O4fv26eHu9vb1SJXnq1ClB5ghX302qV9AWi0U8/fTT4o3QuwUgrVv6+/vR0dEhuTFEzXw+H/L5PK5evYrZ2dmKUB89ylwuh4mJCbS0tKx78slmjTT153rRNFWolcsrYWG2KeFB1yICaniYirhUKsHn88HlciESiQhqEo/H0dLSUmHkqtetdbhqrbde2qyB43A4cP/99+NnP/sZSqWSdN+IxWK4dOkS0um0hLnZ6obJ94FAANeuXcPi4iIWFxcBAO3t7di1axeamppE+NCYW+2etxJRWo3naxkD5fJK2sjIyEhF71+1OIL7Q6/Xo6mpCf39/WhsbBSDnkZsuVyG3++XVlqRSASDg4NoaWlZ1329HUaa9rxwnzscDgwMDCAajSIWi8HpdIqDQtSRXQiAlfSc3t5eNDQ0yFhZ8jAcDkvYuJZM3w5AoJpBptUvtf5PG7q1WCxS/BmLxbC8vCzN9ykjh4aGkE6nYTabpdc4O7u0tbVhZmZGui8wKvTmm2+ip6dH1lIPkrRZvqxGWpCGIXHm/KtIJPP9AWBpaQmRSAQ2m60CJGGbqKWlJczPz0taDVE2Gl5MtVltXXeb1torRqNRdMH+/fvhdrtRLBaRTqeRTCbhcrlEZxJtz2aziMfjiEQisNvtSCQSaG1txczMjABwQ0ND6OjoQDablUIvVRappKYI8LmsV09vhvgM/8k/+Sf49re/LWlYlBccmNTS0oJ4PI75+XkZnMSai8nJSZTLt9s3qnmzTF8Mh8MVnSjWux/Wev+WdxtY64LlchnxeBynT5+WUPDy8jLeeustQYEYyqPRpuar9PT0YGhoSNATDjmIRCJwOBySi8JkapW0CnMrDtdqAqpa8jh/f+ONN6TtBvMbWaB14MAB9PT0oKmpqcIb44jHbDaLzs5ORKNRBAKBimI18vfKlSu49957V02fWO0+toJqIQXVrqkqZK2BqoalGGZRP5fvtVqtkmLh8/mkyphoEg09etLqZ9ytPNd63sfvZrMZ3d3dSCQSMBgMaG9vh9FoxGuvvYbz589LtEKn04ky7e3tRSqVwtDQEF5//XW5rtFoxPz8PAqFAlpbWzExMSFCuZbRvpYjuhmeqfdZz57kz/l8HlNTUyIbaFRQlvDcszVUe3s73G63yAWmI9Gg7+7uhsfjwcTEBGZnZzE3N4eOjo6KfVFt327XeVmvwwesoCEdHR2Ix+Pw+XySl5jJZOBwOOBwOAR1ZV6byWSC3W6XSVo63UphxvLysvyey+Vgt9tr3mu96QNbSavtl1KpBLfbjVu3bkneMlMIaJglk0m0tbUhk8kgkUgImtbV1YVCoSCFOYVCAU1NTWLQsttJLpfDa6+9hg984AMVKQj1gDZbJWPWMvD1ej2uXr2KZDJ5x8hkm80mjfoZpQqHw0in02htbYXNZhPUlYN/GPpljjmdP7YaY3X5arJ0K1FXFdXUfm413qg/m0wm3HPPPWIvdHR0wOl0CqBG5JTyRDXOGhsb4XA4JJLn9/uRzWbR1NSE69ev45FHHpF0NTVVgD9r16s6WqrjvVW0mnNJOcmpeuxq1NDQgJmZGRSLRUSjUQwMDCAUCqG7u1scmGKxKF0q2L2ktbVVgDa3243JyUk4HI6KvbceOV8PbarbAKmecJ9KhUIBgUAAwWAQu3btkoNTKpVw7do1QSIdDgdcLpcUFZjNZnR2dkoj8ZaWFqRSKTQ1NQEADh06hBs3biAcDlc0Jecat/IA1UO1HsrS0pL0rtVO4di9ezf27NkjXi4Lubi52aPR5/Ph+PHjOH36NKLRqHx+LpdDOp3GmTNnKvrdrvcZrQcJWovWUr7aA83JQOohYwoB36t6qlRQra2tEvqj8mV4i0UF9LCZQ6pVPNuVA61ea7W/a6mrqwsAxJCYmppCuVzGfffdB6/Xi/n5eSnQYg4rO1Y0NjaiWCzC7/fD6/XKXmPahE6nq2j5Us966r2XrSb1uagOqpqPp3YgoAPDPLVCoSAhZIZLg8Egenp60NjYKPmRRF7WcrS2c4/wftd6D9/X2dmJT37yk/jud7+LSCSCQCAgE7UWFxfhcrkk5SaRSCAWi2FhYQGTk5OSQ9/c3IzW1lZEo1EZ+wigLvlRbV2bpbWcmmqGWzqdFuVqNBqRzWYxOjqKixcvwmw2Y9euXYhGo3A6ncIHNmi/fPky9u3bh1AoJBXT7HHJufbME1TbaK2HNxs9L6s5NdUiGDqdDm+99ZaM/KQh5nK54HK5xFjK5/O4deuW/J+K1C8tLSEajWJ4eFgM2N7eXklFozGbyWSwtLSEzs7Oqu2fVrunraZ6nKyGhgYcOnQIQ0ND0t8VWClu7OnpQT6fR3d3t/S6ZacXk8kkhbFWq1WmFzJVgOkUfr+/AoAh/9XWjNr1skbnbvCCa9Dr9VKwRfCLTggdXo/HIzYa836bm5thsVjQ1NSEwcFBLCwsoKWlRUZts21YIpEQG6aavNwKPbvlaQOk1UJNnB/8xhtvoKWlBR6PB06nE4uLi4hGoxgfH0dbW5vkFrHIhHl/VqsViURCvGv28SyVSrh06RKWl5fR3Nwsm2a1sLC6ro0ycz1GSblcRiKRkHYu/F+GL2/duoX9+/cjHA7D6XTC7XbDbrdLi4pgMCgzqjOZDBobG8V4peFSKBSkZQxzTjYiWDbCj/Uo31rGvdFoRCKREOSVAoAIKhE3GrA8jMViEV6vV8YVct8wv5OvLy8vw263S49Q9RrbbZRVM5a1969en/1IOT3s0KFDCAQCyGQysFqtyGazmJ2dFQOeOY90jCiAWZDBKTlOpxOZTAaPPfZYXXu/lrOxlTypdi31Nb7P6XRWVPj+m3/zbxCPx/GNb3wDwG2DiwUmbH/T2toq/TojkYigDUTsfT6f9HJU91a1dWjXulFhXOu8rIVoqr8bDAa0tbXh4MGD0klgYWEB165dE2XicrlQKBQwOzuL119/HRMTE2hubpYewu3t7WhubsbExAQACNq2FspXz+8bpbUMWO3vkUhEupM4HA7Y7XaMjo6it7cXY2NjAIC+vj4xOtkHuVwuY2FhAUajETdu3MADDzwAi8UijetVw4JIVTQarZhjvxp6tBXydK19osqVcrmMq1evynspAzo7O+FyuZDP55FMJjE/P4/l5WUsLS2Js0dDxuFwYHh4GA8++CB+/etfw+12Sxec7u5uTE5OwmAw4M0338TPfvYzfOYznxHZs9p9bJQPtUiL9tbiB382mUw4efIkpqenBYnOZrOSx9rd3S2ROXWIRUNDgxSXMw2HKY4GgwEf+9jHYLfbxZhVW/Vp11Vtf6gI+Xppo/zs6OgQOUfj1Ww2S040w/7ske3xeKQ7gtfrxe7du+FwOOD1esUpisVisNvtFdMO1Wew2prXu0e2rdvAal6Qy+XCyZMncfXqVfj9fuzZswdTU1PIZDLYu3evtPBwOp3weDwwm82CthgMBhw5cgQvv/yyCOXp6Wl0d3fD5XLBarVK0rHq8dQTOt/MfVZ7ONXQ3lKphO985ztIJBIS8uX4SqIjr776KsbHx+FwOHDPPfdg//796OnpQSKRwKVLlzA/P4/5+XnJ5XQ4HNImh5txaWlJ+q9t172vxZd6Q6Dav6vTxlRkms+fITwKCF7LaDSiqalJKkr1er2Edji/vFwuY3Z2Fp2dnXc8I2D1/NeN0moHt9q11HUZDAYcPHgQFy5cgMVigcvlQiKRQDQaxcsvv4zx8XF4vV4xzFg5zNB5Op3G9PS0dBU4cOCAOAb9/f345Cc/WbGmtYzpu03V+KPT6URJAMCVK1cArEwTGxsbEwfZ4/FIEQIdGObQJxIJtLW1obW1VTozWCwWLCwsSH/UWqjaWsbKVt1nvf8HrOQzt7a2or29HR0dHZidnYXX6xUjn0ZdIpGQqUpMJ9i/fz/i8bgo0O7ubjz88MOifN7u56/SamspFotSBOv1etHb24umpiYsLS2hsbERXq8XLS0tkiPNNmK5XA4+nw/Dw8M4efIkfD6fTCKjTFZrC1KpFObn56VoS8uj7YzerEV02mZnZ6VegK/zmQeDQSwsLGDPnj3SlcbhcMg90mjbs2cPIpEInnzyScn9bGxsxMGDB3Hu3DlYLBZkMhl8/OMfRyqVEieR19vu+wRWP3t8j2oU6vV6GTLBVBrKVYfDgc7OTuTzeZlSSX3ClAEWqen1enGiCZgwBVDtb6pen/tEXY+6xru9Z/bs2SMF8wQ+aKw7HI4KBFqnuz1enABCNBqFwWCA2+2Gx+ORiWR6vR6f+tSnBHnlvW9Ep6zGk7vWKkt7EwMDA3jggQfESFWn2wAQT9BisUgonMnQnAYSCARgMpkwODgIALh+/fod1r4qeNZCN7bqHlcLJWWzWWmRlclkKhqil8sr7ZEoYCcnJ7G0tIRgMIiuri4Jg9MYo7DgQAMKGADw+/144YUX0NfXty6BUg8KVy9VMw7Vv1W7JltyqMYD2zqxJynvhYeKRjs9XyINACrSRxYXF6HX6zE4OIhyuVxh7Ktr0Qqf7abV+ONwOPClL30Jv//7vw8AEs5cWlrCgQMHUC6XsXfvXmmNxPw+es9EW/P5vAhZvr57924Ji62mDN4uRQzcaQgYjUbpEc2q4cnJSaki7+joQCgUgslkgtvtFnTM6XTK3slms/IZDB06HA6MjY3J9JtqtBpvtsuAreeaaq5voVDAhQsXcOPGDcRiMRw6dAgzMzMYHBxEPp/HwsIC5ubmsLCwgMXFRVFQ7e3t6O3txcTEBJLJJBYWFpBOpyXntd772+69spqTxVQBnU4nYV22zdPr9ejp6RFjzuFwwO/3w263IxgMorW1FW63Gy0tLejq6kI0GkU6nRYZA0AKSGdmZnD+/HnpY7namrbj/qs5wtWMZxYN8Zy0tbVJEe/AwACKxSLe9a53yQAg3gtRRp1OB5/PB2DFuGpubpbxqa2trZifn0e5XJa8eU4xXM1436x+Ufe+qgu0qKWKumpb3zFHnKkxFosFLS0t0qWGPeaZJ00ggOlG1DmUuZ2dnSJnqJPV8dRqrjkBCf6sOkjbZfDXAq7ooMzOzla0hCuXy2htbZV75njgRCIhHW54xrxeLxKJhOQGMz2LbfnU7kC19EwtMGCtffK29HllyMZms8HhcAgMz/5z+XweNpsNNptNHjCr2Jjb+K53vQuzs7NS2We1WjE3NwcAkgNXrYq6HmNqs1QtLMDvFIYWi0U2A9s+EXGcm5tDKpWC2+0WodLa2gq73Y7h4WHxdliAEo/HK0IVxWIRuVwOs7OzFa2m1kJft0Porkfh81mPjY3Js1aLA+idqs+VRijztSjI1PcVCgXJRfJ6vdKPjrSas7FZUu91o9dgqJ8IAIUmQ6EtLS3o7+8X5WE0GtHV1SU5r+VyWVBZi8Ui6+nr65Of11rf3UTgVlN+BoMBnZ2doiCAFSE8MzMjraLYr5B9GrXOEAsf0+k04vE4AEjOFg0ZFUXh/ZOq7dut4o16Rus5O1SQbFnD/p179+5FKBRCX1+f1BCwJVgul0NfXx/C4TD27dsnbbGIzM3NzVUYM3cjnWa9VA3F4fQ9RlgIdHR3d0t4l+eB+sTv90v4lHI4m81KYR+JFfbMJ5+ampJwc7U1rbXmzd57tf2h7gn2S2cXBQ4lsFqtUnxjMBiQTCYlh1PN9dbpdNKlQ70ec8u9Xi9mZ2eRSCSQTqfR19cnkbHt3Cvqfas6TTUOec6r8ZsO68GDB4VXHFShFgarBqfalo+vsdWW1+vF8ePHYbfbpSaFXX+0aCo/QzVUVytk2gqqBRIBK3qRrRevXr2KVColxrS6D8xmM2KxGBYXF2EwGDAxMYGGhgZEo1HMzMxg165dAG6jx2r7NRavrbb3N2qPrct41d78Wsqu1nt0upWRhUTAWJQEQBQuBQd7lrI3Jb2BpqYmCfc4nU7Mzs5ifn5eYG61ebmKPNaLbqyHJ7X4Ue1zecD5fiKKLCBqaWnBoUOHpB+jyWRCX1+fhC98Ph/i8Tja2tokfF4ulzE3NyfjIVWEkrmP1UKvW3H/1aiW8FrLGy+XV5Dn5eXlirGEagidvfFYxAZAPGOv1ytGizp9TS3moZBRX6uGnGwHf2qdibU+n/1brVZrRf4zhwu0t7fD7/fLc2arH7vdDrvdXjGrW6fTSXN6jo+t5vVXOyurGXD13n898qOac6P+L0P/NEDYQo6vx2IxmTLH+dssUCFyoEYqjEYjRkdHK6a5rYWEaO+/VtHbRqmWYVLtZ7XrQmNjI44cOSKTbzKZjMhIFvEdO3ZM8nzNZjM6Ojrg9/tFsdOgoTFXj4zb7N6o9r/rDS2y+EY11mlImEwmMT7L5duV8w0NDXC73bIf2DZJTbVgIaTZbBYFv7CwgGAwKDmztdZbL4q01r2tR2aUy2WcOHECL774IgBIP1PqVTbopzw0m83CH4aQWdSppp3RqM/n8xLlSqVSuHz5Mnbt2lV1D6wmPzaaJlOP81hNdvA1s9mM/v5+TExMSJs0gkrJZBKhUAjhcFgmibGoiV8ko9GIffv2VQys0BaOVivU0hqvtZyR9fAEWD/ybzabMTAwAAC499575WxwH5AKhYK0CotGo4hEIvD7/UgkEpicnJSxukxdVIE46qO15Ei1da91H5seD1vPe6otlMYFQz3s90qBCtw2XBmuUXunMdTV1NQEq9WKX//614hGo/D7/XJd9UtVxhsRkPVQPfzQ6/Xo6urCpUuXKsYWMvzvdrslLYLIQEtLC3S6lYIln88n+Yvq/2azWamcJbLAxGn18KwVHt4sP1RhXU8oWitkOE9a5Y26dhqwKpLGUA573dLBoWLP5XKIx+MIhUKC3L2dtF5hZTab0dzcLDxhBT0bY5dKJSSTSRGYTC0oFArwer3ys6q0iTTyPGnTazardNdLayljdQ+wHRqbo9+4cQPvfe970d3djZmZGWmNRSFKg4NngcqDxsjQ0BBKpRL2798vZ0lt4l9vpGKrDZS1rkG+pNNp3LhxAyaTScKYDodD8qF37dole6ClpQXNzc1YWlrC3r170dzcLJN+WITE/r9qd4/N3N9GSeXLWmAIAMnb1Ov1ckYoHyhbSqWSGPWc185rMZ+VBhrPBJvXUx6VSiWMj4/j8uXLaGlpkfDzdvNiPbL5sccew3/7b/9NHDWn04lCoSC9jnnuKSupawFIdx/VyGI6VyqVQjKZlCmY+Xwep0+fxpNPPlkhr7VAwHbsHVUuaH9WIyYqAMLf1eEKtDe4d8LhMGKxmERm6NSp+pZfXV1dApgQrVWvqxZiqairarxqebYZfqyXHnnkEZmgxfRDRrr5mZSbbrcb4XBYnDdGesrlMpaWliQ9hwARU3jIB+15Xut+1/r7XUkbqMZU3ii9HD7UdDotKJGKlAC3HzQ9g0wmg2w2i8XFRQwNDUGnu12JzOvW8nK0a7tbgtloNOLJJ5/Ez3/+cwAQFM1ut8Pv90vhRUdHhwgRbiQqbnq95I3ZbEYkEsH09LTcH3lLRGa9/V634zDVo4g5+QZYeV5El9X3a4UIf+d3oguqJ0khEgqF7rhPdQ21DO7NIAVca7280Ap7eshTU1PinDDHijlGqpKg8cWuFkQWMpkM0uk00uk0PB4POjs7K9DrtXo1qmvdyv1RL2LFa3LkKTt2RKNRvPbaa+jv70dLSwsWFxcrQnc02LVoPGfat7S0SHN65txTdtRC5rW82Kzhqv25nvfyK5FIIBQKSd2Ay+WSQjUWpfBssJdjd3d3xQCCaDSKXC4nKDXz3NbaE9XWv9WytNo1qq2Fw2yYhkY0jTIgm81ifHxcDP5cLodEIiHtn5LJpExVYn0B+72y2wd5HovFcPPmTRw+fBjd3d2rTkfaKn5U+5xqcoVGlcfjQSQSkZQQ5i0yQkNjTXXw7Ha75AUzdYLGbTwel1HTdG4YAapWO1DrvGwFT7QOrSr/VJ5U03mlUklGw4bD4Yr1NjU1YWBgAPF4HFNTU7IHrFaryA/uK05hU4tHeT2eGy0AozWm1XtRi5O3irR6RUvsD85UTZ552ha5XE7sMOY/Nzc3IxAISFcKjmCnvGTbMHa2AG6nR1QDSOpZezXacJ/X9YTUqv2Nlb8XLlyQEB/7LdLL43VUQU0lxAM3NDSE8fFxGI1GuFwuqSJnroUK268WHt0uqnZw+/v7pW0ToXWz2Yzjx49j//79knvGZGneBw8ND04qlZL74tQU3qvBYEAgEBBPqlpuTb2I0lbzQfu7eoh5ANhhgkgBD7bqxapOjdpAmZNl+MXPy+VysFqtch2GOOo16Dd7/xv5/HJ5JbT5yCOP4OrVqxUGGAAsLCxgampKctPU9lnMRyPyxh63mUwGPT096O3trWiorVU29SCB20m1ruX3+/HYY4/hf//v/y3PeG5uDpcvX8bg4CBCoZAYZhw9raIewO18LIvFUtGlgSFmvrcWWqBVPHebB/wb16nmcbPtDRUuizh1upURl6wtIBqbyWSkUpgoy+TkJHQ6nRRArpUSsd3O3lrX4/Ntb2+Xdl8q+JHP5zE2NobTp0+jsbERsVgMDQ0NaGhoEP6wKJjgCDvCeDweJBKJirCxyWTCwsICbt26hdbW1qqpWVvBj7VINdpUYvEmdYHH40E6nRZ0HbgNnPD5EyihA5zNZhEOh9HZ2VlhtLIHrAoqVJsQpb3nrTBca+0PrcFa7brq+0wmk3SiIVjCKBYHAXGQB8Phqj1hMKxMAWUnE7UXuzZVQGtYa2XHVjrAq9kz1V7n0Ab2PGaBPCMNzPUmEbVXHb5kMimf3dDQgEQigenpafh8PuGZmgqqypJaOqYeXmzY1K8mPOoxWtX3M5+GuXkOh+OOjcCNSMSJXgFzKjgVRp1QpSKVKqOqMW07UILVPE5gZcM8+OCDmJ+fRzablRCozWZDV1eXGGvFYlE8ZYYx1Ykfao86FZZn/tLc3JygjjR86+33uhUHaa2/V0OSEomEhPzUpHnmBfNQcV/wUNDg4HQYVopyn4RCIRiNRuzZswe5XE6QGe6xaspZK2g2S/Wcj2rPRqdbqeRtbW0Vg5Qe7sjICIrFokyIYgHk+Pi4pJtMTk7C4/GIUqaXTZ5phW29Z3krEaVqRmEtYriK7yPC/uqrr6JcLmNqagr9/f2COKvOiuoEMaWE/NPr9Xj/+99f4fyStI6wdp1boZDXS/F4XEKWfr8fMzMzkuNOhcG2aHTamNOaSCTQ2NgohksymZR2hAydTkxMYO/evXcYA9txL+v5nGpoI53UJ598EpcuXRLZwFzncrksHRXYD5qFe5QvNNho9NLZZREO80EpTym71VHkd9O5U+9fy5OGhga4XC4psnG5XDJJi5XlAKTol/nAPBNzc3NYXFxEV1eXpAow0hkOh7G4uCjpW9RHtdam/X2jZ6ba+9VnX+19qxlyanRG7Y/e2NiI5eVlJBIJZLNZLC0tCQLPfqZOp1MGwwCV9StqZBCoHPShXY/Wod4srZener0eJ06cQDgcxuTkpETm2FmBOeDl8u0++zabDfF4HPF4XF5To5sOhwPLy8vSrUO1P2j411Ootta9bBlOvZFD29DQIG1J2MqD87TpAVKoED3kAy6XV2B2Nkym5/Dmm29iaWmpYkgBUNnMeC3Lf7P3Xe3wqN+NRiM++tGP4pe//KWEckullXniLNIi+pzL5RCNRrG4uIiZmRmkUilpeUTFTEFLQc0CJo5AJDLJDaNFoKvxYKtRgrW8QX43Go1oa2uD1+tFNBqV91Gx0PggqkCnpampCfl8HsFgUIYzsAiOvfg4iU01ZtRDtFr+0Wb4UQ/qokYYtEYzEcTp6WnMzc2JAA2Hw5iZmcGBAwcArCAHkUhEqowZQl1aWpKhBnSStOsiT6qFde4GAluPM6waUQ0NDZIvr6YcxWIxdHd3i0PDcC4VMw3dhoYGhEIh3LhxA9lsFsFgEHv37hXUvtrMdq1yqaaY7xaVSiWJTqRSKczMzGBiYgKDg4MyzINzyRsbG6WynCkU0WhU5CxD5bFYDACkFVIwGMTAwMAdIT+g/rZ720HVED2GaB999FH8l//yX2SPE3lnL88jR45gdnYWuVwOTqdTZG02m5U2hKlUSn4OBoOCPjEnlI50R0eHOIhcBw2p1XTA3SCdTocPfvCD+Ju/+RsEAgFcunQJ/f39FaFsNQ+8XC5jenpaeoPfvHlTophqQTX7gMbjceTzeUHqWOSnAiRa2uz9VzMAVacSwB36njpCJTWUT9mRzWYxMjKCq1evIhwOS/pMJpORHra8P6ZfqKlWjIySVEeZ3+lMcTiO9l62wnhdD5FHTFm8ePEiMpkMWltbJWILQCIT0WhU2ugtLS1J/qvVaoXX65VR0wBkxLbqGGgdHDXiVwspX402ZLzWUsbrRfP4gBOJBNrb22EymRCJRJBIJASepuGqGq807MhcFhkAK9OTiMwSfdBu8LUMzvXwodpr2k2pXpfCjQYlhUk6nUYoFEI8Hq9o8RSJRHDhwoUKRIThMRq3HNNH74dJ0wCQyWQkl0VrrK12L3cDaax2TYvFgsbGRglVMP+Oa2YbJBrt9HQNBgPi8bjwIpVKSWqK0+mU/0kmk3C5XMjlciJwVKFR7YBxbZsJg1YzxGrxqBpfdDqdeLiRSASFQgFTU1NSLWy320VhM4ea7ea4bxgW0ulWcuJo+NcSILXWuNm9UQ8vV7sGu41YLBZRrOVyWfJVdTqdpJAw51eVAaVSSSpoGxsbUS6X0dnZiX379snZ1O6JevbyZvbHet/L67FIy2KxYHJyUib0ZbNZRCIRGI1GBAIBzM/P48aNGygUCtizZw/S6bQgS4lEAplMRvLbAGB2dlb6A5Mn6h5Zix+boY3wknLV4XDgPe95DyYnJxEMBiW8qa6Lo5JZN8F8Z9YRUJfE43EJp9PIU2UGp7Opz79W1GKj91Tts1aT3+r1P//5z+N//a//JUZGc3Oz3AsNC4JFdrsdXV1d0Ov1SCQSGBwclPQTykqeN1UfA5AoDou81PVUW+NG+bEaH9biifa6XCdz51OpFPx+P9773vciEolgeXlZkGq1TSeff2Njo0RHtQgrr1lL9qv/o/5tK7uV1EO8tslkwrFjx3D+/HlMTk4ik8mIbUK0PZfLIRQKIZPJwG634+TJk+Lwvv766xVTQxsaGsRGo3OoRtIpX1e733pkyIZzXqsZafX8n/qz2WxGOBzG9PQ0YrEY8vk8nE4nvF6vfDY3DvNRWBXJUAf/Xi6X4XA4UCqVsLS0BI/HIxtNVUbq5rob6GI1xZ9KpaSQgq9RCafTaQmPszq4r68PXq8Xc3NzsNls0vaGRTj8IiSfy+UkV4keJIWN2nSbfNhuFK0enqjENk6jo6MVnnOpVJJiNRLzWXU6nRy4eDwuAwlsNht8Ph/a29tRKBTQ2dkpe0nN59MaqduNkqxX+btcLgwODuLcuXOSOpPL5eD1epHJZCSUzhZJfN405lXDpLm5GY899pig1ypapBb3rbX+jZ6frYh2sN8tCy4ASPoRkQ2iaKphobZKcjgc4vhOT0/D6/UCQMXe0K75boeHa11HVQKZTAaBQAC5XA6xWAypVEqUCR3B2dlZaffE+2NBJ0PJlMUs3Jqfn8fAwICEytcjO7fC2Vvt/9W/a40Tdt9gVItI6tLSkoRF2Q4qnU7D5XJJCFlNraFRz3x5RrSAFZBkamoKi4uLFW3q1Ht4u4mpeBy53traKkg69w1rCli4xRxP8ob5oADkPdeuXROQxWq14t577xWdtVGbYCupGjpb7T10QHgfvD8apTTSAYihz0FJ7e3tAG4XB5PUAmP1HlUHRxvh4t/vNvKqrpFrUutGjEYjYrGY2CzxeBw+nw82mw3j4+OSYtPT0yORcn5RRzGvnuCZ6jjQXqH+qbau1WjbW2Vp36f+zClAnI3LvBsAFT32mDpAptIb4s0DK/1h1RYozE9Sw+XA7Y2thsLUkO1W8KDW59BInZ2dxdmzZytmcfM7DRHywWaz4ejRo5Kn5HQ6ZTMxPymVSgl6QBSSxQjLy8vw+Xzi/ahIdK3Q7GaESr2G62r85ozlav9LD47/a7FYZO42cziz2Szm5uYQCoWkl6nVapU5zTRgtF/VhMp67m0jVA+/+LysViuam5sRDodhNpulJy7nkxsMK1PGqKyBlfPT2NgoyIjVasXBgwclKqG2/wEqpzWtteaNCNtqaMh6/rdcXsmLHh4elteZB261WmE2myWXnuHgasYrQ+W8fzar531p7009L9XOyN3aG1pZqk4DmpubE4M9nU5LlIJDLdQeySxCoXzlSEy2XDMYDIhGo0ilUhUtgMgLLW2H4baa4a79O18zGAw4ceIEFhYWJH0omUxieHhYGvGbTCbEYjHMzs5KVxK1wEmN7vHcqMVaAKT4KRKJrLneWgjcRkk13LVGvhbJe9e73oWf//znGB8fRz6fR0dHhziqfP5sGcYc6VKpJDmtDJnTgSkWiwgGgwBWzt0DDzyAz3/+8xWFn9q1rtWxY733Xo1qIZ3V5I1qQPJ1GvSqDqXOpTHLHHqDYWVIEPeD2uWmHrlW7Xlt1P6odY/V/r7a3xoaGnDixAlcvHgRy8vLEvEEILYUo+NMYwyFQtL9iDqZgCKdRLZtVKO+WqdT+2zqtce2pVVWPUIXgLRsIWrIcCeNMrVtA6Fr9phTvSaOIiNSG4/HK4w1reBVldB2kfZ+eX/xeByjo6N47rnnkEgkxCspl8uSo8pQDadYGI3GCjRFzXWl8FlaWpI0DLYAam5uFmRJ5QX/vxoP6kU+NssP7d/4Go1WjjFkaFRVKqrjwZnMnNPOqtiJiQkEg0H4fD7cc889GBgYkLCyFkXSGrHq6yptlB/VDJ56nQRV2NvtdvT392N8fFyEQj6fRyAQgMPhkN7AdrsdoVAIs7OzcLlcEuai8cIxjwDEgNWGyWuhA/z+dqFL5XIZoVAIP/nJTwT94R6hIUdlSzmiRh2IptDxtdlsInfU9COtgaY6vNXWtNU8qUfh6PV6KVBk4RFRdt778vIyxsfHpQUd92IoFBI+EVVimJR8KpVWRlT39fVJUZKq7GsZTfXcw2aolmzi60QXZ2dn4fF4YDQaMTg4WLGPKTOTyaRMaVTTaFKplLTVAyD7i+/hfmBO9WpGZLXf13OvwOqt9lT5on3fZz/7WZw+fRqhUAgzMzMIBALo7OysSAWZmpqSe2XHicnJSdhsNjQ3N8PpdMqoZRr/JpMJXq8Xn/vc5yrC5+oX11YtV3yj+qWW3Fyv0cjnzcgdnVx26PD7/RUIPh1f1gwwAkg5ws9WJ0HyXrXpJGpx9Wp6sR6qFyxaixwOB06ePIl8Po+XXnpJ7BXVduCXXq9Hc3MzvF6vAASMBKv6mtE+OoKq8Ur9reWTVo6utv4tMV7rEbTa37nIffv2SbGBXq+XYhOGNbj52ZOPqCrDPGzAnEwmsW/fPty8eROXL1/G/v37pRWIWqgEVBZtaYuXtvL+ta/n83lcuXIFzz//PK5evSrhKYYoZ2dnEQqFpN3RhQsXxJtRW3oYjUZ4PB5BitLpNILBoKBKhUIBLpdLZtcDt5PFuSnJB60QWS1XZyup1mcbDAbs2rULIyMjVcfscf06nU4KMVi8wr9Fo1FEo1GpKuYEHTWfUf2qJky0+Usb5UctXq72ey1D12azSR9TANLeqa2tTZrMR6NRZDIZ6fXJlAptFayag0RDVdtIWr2+yoPNKJ/NEGUBC2b4u1rtzZxenU4nRhgRFEY01GKdUqmEWCwGt9tdcTYoH3im1D6O1c7LVpyV9SgiXpOtnoxGIyKRCN544w20tbXBbDYjHo9jfHxcKoMZsWKxZ3d3tyjlRCKB+fl5qaynkc8iSE4uVItfahVw3W3Hptq1p6enUSqVZDIdB3IEAgEZh2symeDxeOR80CAtFotYWloS58jlcqGvrw+XLl2qMOJTqZT0K1dpNed8o7TWeatmBOh0OrS3t6O/vx9jY2MoFot44403MDAwgKamJuj1ekQiEeh0Oni9XtGPhUIB3d3dsNlsFYY9kdhisQi3240//MM/xLFjxyp6aqukfS7VnOCtoGoIXi3+8H3qGujgBoNBmZbFtBJ266BDqNoN/CzVvqCu4u/atdFgq+WUbIbWy0+tPNHr9RgcHMT169cxNzdXUTROAKChoQFNTU3SGWp5eRl6vV5S1ZLJpBj2jJgTkFT5o8oRlUfrkSMbznnlxeo13KoJXgBoa2uTajdWL9IzVpPoiajRYKUR4nQ6K+Y4W61WxONxYTjDHfQe1DVsBQpbD+JAJZvJZHDt2jW88cYbiEajFRufIX4KBxZl8SDR66ERS4S5oaEB8XhcOjYAKwero6MDLperqrHGQ1VLEW+WNuPMlMsr+YxMkOdGp5Gi3qNaOc5qahqyRBkZDuOzp8GivaZ2bdUO0XYZa/UYttyvqVQKkUhERjqSHyzkYriPz54hdZ1Oh1wuh8bGRlHWaqqA9pq1UNdq69voPddCz6q9xq+RkRH89//+3ys8fBoQ9PzVpvz8P8oCtpazWCyC1Le2tqKvrw/A7Ulj6h5RnV31563ix1rnpda55L37/X5cuXIFDQ0NePPNN/Hud79bUm88Hg+am5vFUWY3CnZr4DlaXFwUAIHyYXFxEYODg5iampJJbSpiosqRant2s5GK9fKsWCxidnYWgUBAitQGBgawa9euO4rOiNITMGFFNbu7qL2Tk8kkent7xRnS6Va6f0xNTSGZTMp61rOnN0Lr+Ryuw+l04nOf+xzOnz+PSCSCsbExRCIRWCwWACtASEtLi4AAlCk8Q06nUzotFItF3Lx5E3a7Hf/hP/wHHD9+vKJuQ90H1eTnVhqr9X7WWvqd+pAtz2ZmZkS/RqNRmbSl9sFtbW2V/1d7IGuRXa3Tz+8qEq0CCtvl9GmfifZ5qNf1eDxwOp1SKM+iRkYcqIOoU9kLmdEbpu2pOpefz8/Q5r6qkb71yI0tz3ld6zWVkeXyCuR+zz33YHR0FAsLCzIZiAdGTRPgoaKyYg4TG/YHg0ERxlTOVNrVqojJqO1EkNR7D4fDEqJ89NFHce3aNUxPT8uDVHvwZbNZuFwuZDIZhEIhKTJgXzW2PUqn05iamhLlXC6vTF+amZlBe3t7RV4bDTd1o2yVEb9eXqjX0+6ZaDSKcrksXi8A8fq4P9SJNjrdSpEW9waAik4UbKekIq0AKgzhasb8dhut6jXq/fs999yDoaEhBINBGZNqtVqlPRKdJFYRc+30igcGBkQhA6hwBtWm5ry2Kpg3g0DXS6sJ+3w+jxdffBELCwvSx5LFJRwJu7i4CJvNVvE5DHcmEgmRIe3t7fD5fDJxSu37y2tRkWuL2bYiWsO11cPLavKTjmwoFML8/LzkpuZyOQQCAdjtdjFSQ6GQjHwl4qiiaSz0ohNNGXrmzBkEAgHs3r0bhw8fRiqVgsPhqDiTqgzVOsKb4cdqKJ72NX7P5XJ46qmn8MILL8h0qGg0inw+LwMo9u7dK3qFxVyUvSxUW15eRjweR2dnJ2KxmHQt8Hq9WF5eFuM1EAhI/me1Z1Xt943Qeox5LeJnMBhw77334g//8A/xl3/5l4KGqXtBbRfG58tCNn6G0WgUnfrlL38Zhw8fFmdRLaCthrZW27+b1TW1nIRqMlv7s4qalssrES2XyyV6dnp6WgwzFioxL5rGPKMTqjNE3aJ9BiTKUlWGaJHc7aR6dA1lgMViEduL6UaMbrJbBSMUalpBoVDAzMwMYrGYDI4iv7RG6mpGdD20Za2yVjNaax1oPrC2tja89tprMuGEHg8NOTWXkwgLHzo9ZqK0er0eN2/exOnTp/Hggw8K+kSBq7YG4v9pmbleXqz1N35va2vDP/tn/wz33XcfvvKVr0ionxuf72XSPJsDczQf0WXgdm5NoVCQ/oz0aEwmExYXFxEMBnHt2jU89NBDdyCvWgUEbE2xVi0EptpeqPbeXC6HmZkZvPTSS3I/KnJGNEQ1sgBUCFA2FKeCZr4wjRFV2Gifv7o3eY3Nokjrfd9q/CJiQgXK1iVOpxM+n09GG8ZiMUQiESnky+Vy0Ol0cv9EpqmY1H1AUo2Tan/fKsSxlixR/87wfyAQkPG3APAv/sW/QCwWw/j4OObm5iomxACVPR3pyLrdbolMsEq8mvKoJmC1CIH2uW0F1eKruoZSaaWryre+9S3Ji2dx3tNPP43f+73fg9frFcMtFApVnBkiJJQf169fr3D4zGYz5ubmoNfrpQsDn0Mtpbwa+raVPKnmRLGeIBgMiuNuNBpx4cIFGfyi5uRxeiGdEqYbsRAlm82K4UoZ4vV6sbi4KFEhYKWiX4tEV1v3RmXIasb8WjqX17Pb7fi93/s9zM7O4qmnnpK1qw5aubySU+/xeOD1emUYioqgWa1WfPGLX8Tg4KBcr5bRpZ6Tan/bCD+0+qUewEX7d608pR5gp4V0Oo329nZJ4QNu95RmERc7uNCYU6+j7gH1PKj1JsDqPcXXS+uRw7UcCX4vlUqwWCySIsJ9oEZreA/FYhGxWKwCZeYzp40Wj8elNqlcLlcMUFHXoY7G3TbktV4reS3Dld8ZzgoEAgiHw9JQne1JWFhCj0BrxAKQ5HFW6udyObzwwgsYHh7Ggw8+iGPHjkl+IA8VFbk6NWUrqdr9GwwGmM1mzM7OYmZmBsDtw68eBHUKUkNDA5qbm6HX60VpqwVbzMXhwVaL3XiNkydPVoTZVa9PK3C1B2+reFBLiNCTMxgMYqSz1RURcz4jGrFEDHS6lclTzMviF/eHTqfDs88+iytXruD3f//3pXch+Uchqv3S3sNGUel6z0i112sZr6rjQaMll8tJg2idTger1SoVxKyGpjHPbh3MGWUYh/xVC3H4uxqx2Ap0TUXMqvGg2utq6ojf70c0GoXL5cL999+PU6dOSW4vJ7MRdWboi0ZaNpuF2WzGrVu38PDDD1ek0WjXwO+UGeo9bCWpPFnLQeDeiMVi+NznPgefz4fGxkaEQiFpnL68vIyrV6+K8+71euF0OqVPIz+D/ZCXl5elKIWOHQt3GE5m7pq22bjKp1rGynaTes1//a//NV588UXkcjmYTCaEQiE8//zzeP/73w+XyyWpRZwaRRSWU8coQ+ngsTF9OBzG7OxsRRqW2+2WPrLa3PntjNao91yP8VYurxQi/dmf/Rmam5tFXjJPnik06rPkGeTZyefz8Pl8MvxHe2a0963KsGrRlM2SFnWv9not3mjlPIscWUPBfOByeWWYB50VysZkMonr16/j3nvvlVxpldSiT/WscI+oNohWzmwX1ctznW6lR3YqlaoYAEO0nvfBCCdRWNpTACqiPE6nE9FotKKtFm0Z9iXXRsS1aVm1aFsnbNVSwCqCQHrPe96Db3zjGxgdHUVzc7P8jRuHHjMfOm+YCpgtt5jLFAgEMDc3h1OnTuH111/H/fffjwMHDsDr9VYcVG2roK2472r3rx5k5iPm83k4HA4x1nmfVCysomfvSjan59+5sVpbW3H9+nW5p0KhAL/fD4/Hg0996lMVKCMFswrha5VzPfdWLz9qeXrqFz2xQqGAs2fP4utf/7pM11KNC20TetVIASqLbPhcjUYjotEofvjDH+IjH/kIDh06BL/fX4F4VzPm1VQKXnMje2QrDFgSlW57e7u0AiJCn06n4XA4AKBiuhKLTijI2QeWn0dhyrOkIgL8W61BBptBo2uhy7Xen0qlEI1GYTKZpMfrH/zBH+D48eN45pln4PF45LmqDh5zsVj0mMvlMDo6CpPJhBMnTkhRJx0l4Pb+UR09oHqUQuXJZs7LWkYrX6MDd/r0aSwtLSESiWDPnj0yxpT5ab/5zW/Q39+Pnp4eMcRUB4QttRKJBBYWFsSo43XpIFFGsfZAq2jIB+6VreJHLapllOj1evj9fpjNZrzrXe/C9evXBVm9evUqjhw5IrmMfN7l8u1ewJxyWCwWZZQq20TRaOcMdzp8Dz30EHp6eip6gwLbU01eD7qofn61341GI/7Vv/pX+PWvf42ZmRnk83kJlbMrAwCJgBJhVJ8r5TQ/sxrKWO361e5/s0ZsLeNY+1o1IzudTks0kw4Mowo8Sy6XS/QEARYa9LFYDIuLi0ilUnC5XHekKmnXptortfTtVjs8q+mWaj+reo9oNPc79zyfP1t7aj83l8uhvb1dJjwCK3pmYmJCRss2NjZKegoBOYJ3WqdktT2yZcardrPW2qhaA4aMYgVoPB7Hnj17JClYRVvVyk5uABogLE5gvl8ul4PBYJBeqqdPn8bLL7+Mw4cP4/jx42htbYXX660paDZL2s9SkYne3l7J852YmJCwLvM67XY75ufn5TMMBoOkUVCocHKQyWQSWF6d237kyBE8/vjjFUiBui7tQat28Lfq/tXnrKJ8XBc9tenpaZw7d06UKZ+NmtROPnH8K9MISMzpcjgckjut0620BhobG0OpVMI73/lOye1T75+hnWoG/VoIx2Z5VI1n6lepVML09DRu3rxZESYmYhQKhSQ6USqVEI1GJeTDnFjmTDNcyOsxiqHyQLsuvqY+i+2ganJEp9PJRK29e/fKPti1axecTidcLhfm5ubg9/sl14qClCEvpk1YrVY0NTXJqGA+bxozwG2jXhXkqhOt3RsbRebrpWoy8+/+7u+wvLwMi8WC6elpycujkW4ymTA6OgoAoniIorFAKRKJCMLC9CsiTLzfYrGIyclJUVjV0kxqIejbxQutMaIaUY2NjfiP//E/4sUXX8QPf/hDGbpAPcDm65Q5aooJAYRMJgODwSAGLTs1UJnzPLS1tcHtdlc4tqqxspX7oZo+WUvfqs+Hz0uvX5lC5nA4kE6nYbFYJM1Ir9dLu7hCoYBUKiU9OtXuJao84D2qjk8tg3ar98hqERzVwap2NkdGRvDtb38bTqcTx48fv6NYSI1mAqhIPdTpdFhaWsKLL76IRCKBXbt24Z577pH9o22fpnX6+Rlq+FxFLreKyJda57Tac2HkkjKW/cJ5T0So6dDwLPE1Orvl8kp0yOv1SvQmEokgHo+jubkZPT090pYsn8+jubm5omtMNZ5paV3GazU0qNb7tN+1r3GzR6NR/OIXv8D58+exsLCApqYmQUdZpMQvkqpo1bxF3uz8/LwgARyHF4/HAQAXL17E6Ogojh49iv3796Ojo0Nax2yWqh0SLQ9YLPLkk0/KDG6G8ihILRYLuru7ceXKFSwuLkrSM5vPs0k9x/IRfVTzGZuamiSpXPX4VGNIFTzA1oT+aglUPq/l5WWpRkylUpIGcObMGbz++ut4/fXXJcRAlBiAeG1EDQ0GAxwOhxhh3AvlchkejwdWq7WizUk4HMaPf/xjHD16FOl0Gh/84Afl4KmoK/lAvmx1uLiakqkm4NmiaHZ2FsFgEKFQSMLjhw8fljVSwBAtUUOezJGmwwBAuhVUqxxXv0havqjG7Wb3Sb1oEtdgMKzMrt+3bx88Hg927dqFcrmMtrY2BAIBSZeg8aai67yWx+OB2+2Gy+Wq6NjAe+N1aeyrr6t7he9T+bMRftRCi7R/Vx0ZGpBEQebm5uSssw8nn//i4qIYm1Q8NGCB24V8vD4dmVKpJH2E1WI+njU1d2+75IcWyav1Pi3/rFYrDh06hMuXL+P06dNihFGPUCbQmKcDo0au8vk8FhcXJbWMYXYO+ujo6EBLSwuy2WyFY1etfqJevbkRPlUzTLTyhD+Hw2FxajOZjEQxaLAnk0kJ55I3HD/MlCMa8DS6tDme6vq0r2t/3wqeVIsE1eKDKtdNJhNaWlrg8XikiwTPhBqNo/0A3O4NWywWsbCwgGAwKK3WMpmMPHsWRqv5n7XONNe4mZSBWvyt9b5adkokEkEkEhEgkeOAqVepkykvyTd+6fUrEy2ZX64Oj2HrsXK5jGAwKMAT82sp05hDzvO6Gm35kIJahqsq4Pm3qakpPPPMM7h27ZpMdVDbH6kKQvV4tR4LQ/A0AJPJpMD4vDZDHWwXc+7cOYyMjKCzsxMnT55EZ2fnlgjdagdT+7l6vR5HjhzBJz7xCfz1X/81gBXBRy/XaDTCZrOhq6sLk5OTiEQigpjxIfP+uInUXJqmpiZ4PB7pZ6kaduozUNelphBoofut4Ac/j7PWb968iaGhISwsLCCbzeLNN9+UPFfuAbWoTKfTVRSr8XCYzeYKhUn0gCEL1djK5/M4f/48bt68iUKhgHe/+91oa2uryJelsaKmk2hRho3wYbXXqzl2Z86cwa9//WtcuXIFgUAAiUQCiUQCH/rQhypQQfZEZvqA2s+V7ZJoiDGv+Be/+AUefPBB9PX1yblUc1+r5beqZ08bHl4vP2qF9Ejqa+S9Xq+XWfLNzc0Ve97r9aKlpUUcOnV92rZZBoMBfr8f3d3dwh/1vvgMKKDVv1GGqLJHXeNGSevAqK+r3/kznVcqD/4/85/5/JgmoSofNQdYp9NJaJik7p1icWWqUFtbW0UYUU0/0qZVaHMhN8uX1filkrofi8UiIpGIjH1V9zifK+VLNcSNs+69Xi86OjowNzcn/VCNRiMaGxvR1tYmSC5lMMEJrmc7nF31fleTIer3bDaL4eFh3Lp1S545z7Pdbq9wWlT+5PN52WflclkKaR9++GEZDMT/rfXMV9ODm6V6DNdqvxeLRXR0dOCxxx6DXq/H+Pj4He8hf9RwOfcY5W02m5UQONH6amdZm56nXdtmjVdSNf7W4r92fdFoFBcuXBBQqFxeKeDL5/NizKq2HLuzMG+enZ8cDod0cKEOBiBt6ZhnzQEiPp+vosUlI+aNjY1rOsKb6vO61nvUm1WFXrFYxKVLl/Cb3/wGwWBQENaGhgY4HA4kk0k5HCqDVWONsDYAMV4jkYigLnwdWBFaZAoVED3QxcVFLCwsoKWlpaJifav4oRok/J2IMIXj8PCwwPUAxOtpaWmpmFtus9kqlDgPghqmoBdEIZVKpSRXVL2+KtB5UCnMN2O8rnZYeHiXlpbws5/9DDMzM4IeEVVW00LUz+C9sE8pBa3VaoXNZpPf6R3G4/GK/ae2NYnFYnjqqacwNTWF973vfdizZw/cbrcUZ6iOANeyFQp5Nd5wbel0Gt/61rfwj//4j5ibm5N8TRagkBdGo1HGoNJp4zlg+EYdbcn7KBQKeO211zAyMiIe8Uc/+lH09/ejpaVF+EUhrQpyUq1QWD3E9WoNWO1nqUJeWwijVbJWqxVdXV2IRqMVhY/8DNUgYzeTrq4uALcdoWppAKpBq6YQaBX2VqAmqxlqVLjZbBZjY2My/YipVCqiSueWyoXFjuSHGmEymUxStERjVc3tM5vNOHLkCDo6OiT9RF0PDXuuU+vUbLWzp3Wm1H2oGpAmk0kmALW1tSEcDovC5T1qQRHgNuKm168UlBw6dAiDg4N4+OGHMTQ0hNdff134uLi4iJdeegk2mw0PPPCAGDBOp1MMHr53o6Q1vqrxSXuW1P8rl8tYXFzE17/+dfT19QmPmCKjng/2OQUgxTYcTMHnXSqVcPnyZTz//PP45//8n2Pfvn0SEaGToJUN5PNWUy1HT/u7Vo4zfYgTKG02G3w+H86cOSP3zL7YlDNqIZLWaeMEMqKvvJ4aqVBlKVMhq8n/reDFej6HjloymUQ0GkWhUBBg4NChQxgbG6uYwEdHjXwsl1emHbK/frFYlKiW1WqF2+0Wo5fpjSQW2FLeAJDIoarnttR4XY20D6TaVzAYxDe/+U2pKqcHQ+Frs9mwuLgIi8VSgSqp3jLREjajZ3Usw8Q2m01CPCqET0bxYRCtSqVSWFxcxNLS0obvtxYPgNvKjcYxH/7ly5el+TFDOBxXSaPD6XSiXC5LKIdoGz1iQvVNTU0y+CCfz+PmzZvweDzyf3QctAirGt7YKrSgGvGgfPnLX8b09DTGxsaQSqWg090uxGLvWrUVB9eTz+eRSCRgtVrh8XhkBruao2M2m5FKpfD6669Lvho/R9uKIxKJ4De/+Q1GRkbwyCOP4IMf/CC6urpEoFfLe90IrcbPaobL+Pg4fv7zn+PWrVtykAuFghx2On9MF+HUKL5WKpUkhAXczulUkSWj0Yjh4WEJoY6MjODkyZP4zGc+A7/fL6kYWp5tZXhY/dxqpF23qsS1//PII4/gpz/9KRKJhHQbYS4njVn2K/R6vTCbzejs7BQnUt3/PFPcgzxzLCzQGrkqWrtZqqaAy+UyAoEAhoaGkEwmMTs7K1EX5pKRWBNAw1NNm1CrpXnOS6WStNBiioTaLoupR1NTU+jv7xflTUeJ+0DNn94qPtSrhHU6HV555RXcd999ckbo2DU2Ngq6XiwWpRsDZWG1VCGiST09PTh58iSampowMDCAY8eO4cqVK0ilUpKGRrBkamoKg4ODuOeeeyTszoJS9V42a6Co8ln9Wfudz/iP/uiPcOXKFbjdbvT19Yn+VN/H/avuCRpf6hALvt7Y2IhEIoF/9+/+Hfbs2YO/+qu/qjDWVWNVizDeDdLKC/V5U+9z7zY0NGBpaQl9fX149NFH8dxzz4kxzr3O9TNqRSfSZDLh2LFj2Lt3rxR48WyoBU78XzWqR+NYlTdbRfXymobnxYsX4ff7EY/H4XK5pLtTa2sr3nrrLRl4w17Y4XAYiURCQCT2kmcby/b2djQ3N8PtdkvaAQuyTCaTdL+hrFLTAMvlsvCGBXOrAQNbPqSAr2s9w0QigW984xu4ceOGvEYvhg+eHmChUEAoFILT6axQJNxAalI08/3YjkFVvOpnahWhaiDF43FBt7aSB+p3Fb27ceMGmpub4fP5BE1saWlBU1MT3G53RXswtpMwmUwIBoMS6iGKQPSxu7sbt27dkutQCEciETQ1Nd2R+6rmOvJaqlGyUUFbC13M5/N4+umncf36dUxPT1cYl9p18XXVQOL4y0wmg8XFRUGZ6agkEgkEAgEsLCxIfz41zMPcG342py0FAgE8/fTTmJubwx/90R/B5/NVGK5bYcBW4081w7VcLkvhBBFXVYGoP/MZqQUWKnrOnE8+UzX83dzcjGAwKP+zvLyMU6dOYWZmBk888QQefvhhuN3uCgcHQAUireYjb+T+1d+roa78qoU8kXQ6HdxuNzweDwBIY3GeCyopGvQNDQ144okn0NTUJEgC16DmuXJP0onmPcfj8Ypw2GaV82r/m8/ncfHiRczPz4t8I8LB1n+8Vz4bdc3A7VA5DSnyF4BM29IiHE1NTWhvbxe0P5VK4dSpU3A6nejr60Nvby88Ho+0FlJzPdWzshG+1EKiqyGPhUIBFy9exNNPP42vfe1r+MQnPoEnnngCTqcTFosFPT096OrqwtTUlPCA6WU8N+p1iMrZbDa8853vxODgIDo7O2EymfBXf/VXFdXnlNGBQACXLl3CK6+8gtbWVgwMDMDn8+HBBx9EZ2fnHbpno/zQAgvV9h1/n5mZwWc+8xnpUet2u+FwOKSYj7JWTalSDWw1ksfvqu40Go0IhUJ4+eWX8fjjj+NP/uRP8MQTT1QdgqPKj62m9ehe5sSXSiVxLHhGisUi/H4/Pv3pT+O5554TIID3qq2/4N5xu91ob2+Xbi90DnhuVONd7W9K/qiG62bkyFoyUvtediWZmpqSfdzU1CQIeqFQgM/nw8c+9jF861vfElnD/7fb7RXdTXgPtEs8Ho+M6WZOK/nN4Sm8d6ZbECjR5h5X62pA2vCQgmqvaT0tGg1vvfUWnn32WQQCgYpwCpERNScNWFFArBqnwACAWCwmrUnYDigWi1VUSrI3WbVpSzSM6RWpAn8jhut6+KXybGlpCU6nU8bdhkIhRCIRPPHEE3LA+H5VCfEgsdiGhj9D4lS85BUA8X7oIPAQqoaNGgpVjezNHib13ufm5vDtb38bS0tLctAZsmXIhc9Gm3dFQ8Zut1fk34yPj2N+fh4AxFnhZB0VYVINP+bd8PnzIF24cAGnTp3Cxz/+cTlY2ny+zVA9vCQif/ToUdy8eVOcNQpPOl1ag1I1UMvlsghOUgh9fgAAGqVJREFUOnoqP3g2VKOeSMPQ0BDGx8dx4cIFnDx5Er/zO78jqQUqSq/mf62XB9UQJJKKRmgLglSZws9RUZH3vve9+NWvfiWoYDKZlD6dLpcLhUJB8pv3798vYVIqcQAShif6QgSKvGf7OjU6oN7TZkhrpJTLZdy4cQMTExMS1mdxWSQSQUtLC9xut6AV5XJZ5EK5XK5ILSIftddielIikRDEo1xeKXjU5gOz7yuV3dDQEI4ePVqBAKvhVO01N8KHWn8rFouYmprC888/j4mJCQQCAZw4cQI/+MEPcOrUKXzlK1+BzWZDc3Mz7r33XkxMTIii5bNSp8nxvhn1u/fee/Hxj39cUjL++q//WnQOC0pcLhey2awUoLrdbplsGAqF8Oabb+LRRx/FQw89JOlemyHtudH+jev78pe/jB//+McSwqbxQLmghr7pbKhtvvgao5oq6MHny4ltpVIJsVgMf/qnf4rz58/ji1/8ovBHNWDX84w3wpNqnw3cjniSD8CKPlS7FjkcDszNzWFgYAAmkwnvfve7cebMGRnQwc4uAERfA8Dhw4eljzL5pdYLsCCuVCoJkEDDXq1L2Ixjsxo/1P2iynraTIFAACMjI+ju7haeMWplMBjQ3NyMXC4Hn88nBqbVahWdorYv5TRUq9WKlpYWGAwG/P3f/72Muyeq+/DDD+P48eMSUacTpaL+BGQMhpVuH6vxZlM5r9qNqXpY5fJKJ4Gf/vSnuHr1qvSb5CGhd0Nm8QBxo3FUXyAQkHZIDO8TncxmsxJKJjP5OWouGytC+T/M16ABU80L3yhpD5RWKRWLRZw8eRLT09Po7OxEOp0WY7pUKsHpdEoHAm58HhBWx6sPmqkQzc3NGBkZgdFoxLFjx9DT01PRyYBFbGpeq8qDap79Vh2qQqGAL3/5y4jFYtIrkc+I96QNpdDQVsPlavU89xoVO4tOqODVCVtaolPDw0cE8rvf/S4ee+wxMZ7U0PVG815roSMkVdiUSiU4HA4cPnwYLpcLL774IqanpxEOhwHcLsBiP1fmtXJf0zCvZdiSyHu1XyMduFwuJz1Ew+Ew7r//fnR1dUkSv7p/NoMmac+I+plcN/+mOn/qfajNwK1WK/bt24cLFy6I4mB6DQ2NbDZb4SBSiNKJVtun0bDjHmKVOSMG1UKjmzFQtLwcHh7G5OSk9G2lnKCjFwwG0dvbK2dcdUoNBgO8Xi+amprEECfPVdSYRhiNVwAS+uOQFMpiFm9Eo1EUiyutky5cuCDtytSojZpjuB5aTf7wsxYXF/GjH/1IUs7S6TR2796Na9euwWQy4datW/jSl76Ef//v/z1KpRIeeeQRzM3NCTihFvMSXWOqDYuxPv3pT6OhoQGxWAzf+c53MDY2JoqZTmGhUMD+/fvlGbFIJZlMIpVKwe1248aNG0in03j3u99dAcJshCfV5DN5Eo/HcebMGXzta1/D8PCwOLzMw1Wn6TESqTqE5LUqKwiMECHkHrRYLBgeHq5wJADgxz/+Mebm5vDZz34Wx48fl6iHqqtWe94bIe1nqjKDtRQsYqW8y2QyWFpaQmtrq0R4w+EwyuWydHF55JFHcN999+HKlSu4cOECisUigsGg3FNXVxcefvhh0dHZbFaiHZRf7CNLfqopCKrxTLCNCP1GqRYoUC6XJaVyZmZGDOlcLic9jBnSB24Pg6ED8v73vx8/+clPxLljUSiw0r3CYFhp48nxyU1NTbDb7TCZTGhra8P8/Dzsdjuamppw9uxZ6PV63HfffbDZbMIPpmNQdjEvneupRVuKvKoUDAbxox/9CCMjI9KCg0TGqC1c1MIh5pkBt0OVqlJZWlqCy+WCwWCQKVTaw60ao7wWjSEiemQWkcutQBrV32u9rtfrce7cOfz5n/95xdSs6elpqZKlkOFkC6Ir6mdz3alUCtPT0xXjHvm5bAUCQCaW0QBRUXDVU97sIdLSm2++iVu3bkmeqpr7y8NEg1PNk6FDoqJCFKaq4CIiRCNEzfPjmlRBqhat8P6LxZVRdz/+8Y/x6U9/WhBvYHMFSrV4on2NAvKtt96CXq+Hz+fDpz71KYyOjuKHP/whYrEYUqkUlpaWKkb1URCqjgDXrO43PmNWm1O4871cg16vR3t7Ox555BF4PB6Mjo4iFAph3759aGxsFOG7FaTuZzXXVE0d4TNT02G0ER6+tnfvXoyOjmJ2dlaMTTVKodPp0NnZKUqarzU0NCCdTiMWi4mDwIIn1fCnXCKyTadmNVSsXj6oFA6HcfPmTSk65HOh0tDpVibLLSwsyDjPyclJOS80SvnF8JsqR4GVUCEdYCJ0NPg5sVCbcsCcPVYIj42NiaMMVLbO2qpoBXk7PT2Nf/iHfxBkORgMwmazyXnQ6XTo7+/H1NQUvvKVr+DDH/4wvF4vnnjiCTz99NMiJ6i8aeyrTdf37NkDnU6HeDyO5557DufOnRNjt1gswmq1ikOk0+ngdDql2potgHK5HEKhkKD6ra2tOHLkyJqtf+rhBalQKODmzZuIRCL4yU9+gp///OfyOvUCv6spSDy72lxLrYxUz5iKVC8vL0tBl/YZnTt3DpcvX8a//Jf/EocOHcI999wj3T+qobDrlaervV91mCKRiORl8kwzVWB5eRlnz57F448/LtGKpqYmzMzMSIEfAa17770Xx44dE3AllUphfn4eZrNZeMC0xUQiIfUCdKri8TicTmdFqhfbkqkylHJtI6TKQe3rxeJK1w0OZWHEM5/PY2lpSdZDwAe4LUu5pubmZpw4cQIXL16E3W5HuVyWiWQEGDs6OtDe3o79+/fD7/fjjTfegMvlEoO2sbFRivA5bMbpdEoqIOUOecGzVgu5J20p8kpGRqNRPPPMMxgaGhKvnkYLBb+aEK1+14YMqWDL5XIFCkeoHrhdMaxFIOhtqkZLtYT1zeTkrGW4atHoYrGIW7du4Ze//GWFMmpoaMDCwgKGhoYkQVqF+2nAqSFcKpKJiQnMzs7KfV6/fh3z8/Ow2Wy4//77K3IltXmQXKOKzmxU+VQTTvl8Hv/n//wfydlTUWYKcx56orIUdjQU2JOR+4toMze63W5He3s7UqmUNOtniIP3pIaf1ZCvisqbTCa89NJL+OhHPyqvqevZCNXj2OTzeYyPj+P73/8+nn32Wfzu7/6uVH12d3fjxIkTkotFQ4H8oJChEFLPFZ+BiooBqDgTKoJTKpXQ1dUlSl+n08Hr9WJsbAw2mw27d++umHK3GWReXZ+KYmoRWX6lUikJ2at7h+9nT1KGaJkLrY4Ofuihh+5oIM481lAoBLvdLrm+2mI1/q42K1f/vlEeaOVpsbgyFIAOhmp4ABC0x2w2y6Qxg8GAeDwuMsJisaCxsRHt7e1wOBwVfYC535mDZjCstKXJZDKCZnJiEHPmWRCqIuTcM8ViEdPT0+jv76+oOFef8WapXF5pD/ajH/0I5XIZS0tL8Pl8AojQ8CwUCmhoaIDT6cTc3Bz+63/9r7j//vvxvve9D4cPH8aVK1cqDDsarlTiNpsNjz/+OHK5HObn56HT6dDT04NcLicT/5jjS4O3o6MDyWRSUkrYM5ddLbLZLF599VX09PTIKNmN8oC0vLyM5557Dv/zf/5PxGIxGbYAVHZpoe5kPUB7e7vITTXPkHtNdcRUecfnrdfrMTw8jFgsVqHXtFGdr371q2hqasLv/u7vorW1Fffff7/Ik1pI8np5UO1vNK7n5uYq2jyphmJrays+8YlPSFSXe0iv1+PChQs4fvw4fD6f8JL3TV1gtVpx9epVLC4uSq2N1WqF3W6XvU9AiWmP3CtqBwLVMaBO2yzx84CV5xAIBKSokAai0WhELBbD/Py8DNgg8ME15XI5vPLKK9Dr9bj33nvR3d2NQqGAcDgsBVyZTEZkhNlsxvHjx+HxeLC8vIz5+Xl0d3ejs7MTHo8HZrMZkUgECwsLSKfTUjSrDp4iOs5nQf5vm/GqvkbGZTIZ/PrXv8bFixcRj8cl9EAmaZE3bg4iroTQ1dwQoq/ASo4KDTG1GIG5kDSYKMi0xqPKFDVxejNpA+omVI0TrRBPJpM4e/Ysnn32WYyMjACo7JOXz+fxm9/8BhaLBf39/WhubkYymRS0gO8HICkT169fx82bNyVMzvsKhUK4cOECbDYbHnzwwYq+p7wm+ac10HiNzRj1vO9oNCqhRj5PHvBCoYB9+/ahu7sbs7OzmJ2dxfj4eAUP6eWpIQXeh9FoxMmTJ3HgwAEUi0U0Njbim9/8JhwOB3p7e3H69Ok7DDT+r5o7ylxTADLpa8+ePXfk42zUmK9mwHI9qVQKP/jBD/DGG2/gxo0byGazeO211/De974XjY2NsFgs2LNnjxTuxGIx7N69G0NDQ5ISQ+eH90EBxJxPm81WkTvb19eHiYkJCZVyPb29vXjPe94jaF1DQwOeffZZXL58GQ888ABSqRTe8Y533HF/6+WJei64D6udF/U78y85ItlkMslMdtWIP3DgAKanp8XTp9zJZDLYv39/hQzg/1gsFunzrO5Pvo/E3E7yMZVK3fGejRLXxZZxfIZEd6g81SiF0+lEOp1GU1MTbDabpHpYrVY4nU643W40NjYim81Kyg4dNxVZZuFasViE1+uVVjehUAjJZBJer7ci1UZFwAGIYaRFFje6P6q9duHCBQCQvpKcHheJRCrC4blcTlp6TU5O4qc//Sna29tx//33o7m5Ga+++qo4QDTWqZeOHTsmjpLT6cS+ffsQiUTw5ptvIpfLwe/3w263S8GW3W4Xo5XRQADSr5Ldb1jc9IEPfGBD/FD1y7Vr1/CjH/0IP/7xjwX9Vt9LGUv9yeKqa9euoampqWI4iVoTQv1DWaJGQqlvE4kE5ufnKwAlylDuC643FArha1/7GsxmMx555BHcf//9+NCHPgRgcxPpVONX5Q8NQE5U8/v9gogyNF4sFsXRuHDhAi5cuCAOSqlUErRWr9eLncHzUiqVRH+fP39ejMHZ2Vm43W74fD4sLS1JxxNOllKdAQIkalGSGhXaSFpJNWLbUAKH6lj1UqkkdSEc8sOodDqdxsLCAp5//nm8/PLLGBwcxIEDB2A2m9HX14fm5maEw2HEYjE5c4VCAf39/ejo6IBer8fY2BiamprQ19eH9vZ2edYcBGUymeB2u8VobWpqkmfCmiTyQp24VY3WPWGr2u/cPIVCAbdu3cKFCxck90eFo9W8VhVBrebp8XPVh6omCqthf0LYNN7oxag3rkVYeW0A0md0MzlJ1VBH4HYP2snJSTz33HO4ceOGhAT5f6rRyElQPp8Pf/AHfyAIIgVSsVjE3Nwc3njjDSwuLkryPK+lXjsej2N0dBTt7e04fPiwbDYKJC3CpL2PzSBK3LQvv/wyxsfHRSgCK1WJra2tcLlc6OnpwcTEBMxmM44dO4bJyck7DFzySOUVn19/fz8OHDiAWCwGj8eDD33oQ3jrrbdE4VLh836qeXP8O0dm/upXv0Jvb29F66Fqz7heXmh/p7E4PT2N73//+3jmmWcQj8dFmZw+fRp79uzBPffcA51upR3JO97xDjzzzDOYmZmBw+HAu9/9bjz77LPQ6VaqoxOJRAUaxlAwBQDPzeDgIDweD958801xLnW6lXD6448/Dq/XK4rt1VdfxfPPPw+z2YznnnsO165dw/Xr1/GRj3wEbrd7w2FQ7g/1S5vnqvKK55xGLMNVDFWrZ621tRUHDx7Em2++iXQ6DZvNhnA4jBMnTlQUaKqKnu3G1Ovx81QUm70KVadG3VObQaJ5vxzzSjnGnD0aTERNVccbANra2ioKJsrllfQOu90uqVUmk6miGJb3TtCBoT6G4mdnZ3H06FG5JteoOoQ09hYWFiQXm89kq5DX+fl5jI2NycQw5qMCEKMEWBkNS5TL5XJhYGAAkUgEP/zhDxGNRtHf34/77rsP165dky4L+XxejBs6wcxfnJmZkeswX5LpSWzFVSqV0NbWhsXFRdF5aneKTCaDdDqNmzdv4tFHH13XfWvBkImJCfz93/89XnjhBQFrgNuRMy3AAUDWcPHiRbS2tmLPnj3itPDsMX0rnU5XDDRRnx8jAhzWQB2iXlclyu1CoYBnnnkG58+fR7lcxoc//OFNyVOVN7x3yr18Po9wOCxdHsLhsERKLl++LN+Z+1kqrdTXWK1W9Pf343vf+x7OnDkDg8EgES4a+5lMBj/4wQ8wOjoqnSzoyPb398Nms8mgpVgsVhGhIU+5LxoaGkReb0UKltbxX15eFvuC8l1NGyNazPuLx+P46le/Kl175ubm0NzcjL1792J5eRmdnZ3SKYC8oGxpaWnBvffei3Q6jevXryOfz2Pv3r3YtWuXrIf5tdSn6uALdsGg8czUThWwrEWbynlVDxcACREzhKX1khi2rmYgqaFL9RpqPqZagEJhqiqjXC4nXrQ2d44KXXso+TcagBvlhZb4kM+cOYNXX30VMzMzmJ2dhdlsRjgclsIaNVGbhmU6ncbo6Cj+03/6TzKejw95aWkJsVhMCpSYSqE10vT6lWEApVIJr732GtLpNB588MGKNaq8U5XxVhhrVL7Xr1+XkKVqDLhcLnR1dWFoaEhmh3d0dOCRRx7BqVOnZG1E40+cOAG/348XX3xRlI5Od7tV1GuvvYaTJ0+ip6cHIyMjeOONN6Rggbk+6t6qFqKmZ642ZyZSTX5tlLTn5D//5/+M6elpjI6OihHJNJBisYjvfOc7OHDggAi9/v5++P1+jI+Po1QqobOzE5/97GcxNjaGs2fPylrVamJ6tkSkTp48ie7ubhGcPE9+vx8f+MAHBC0wGAx46aWX8MILL8i6s9ksxsfHEQgEcPHiRXzxi19ES0vLhvmgNV5rOQk0FHlWTCYTvF5vxblR328wGNDV1QWdTie9bA0Gg6AA2vxZ/j9/5hnk6+q5UltpsfqWBZEb3Rvq2hmmTyQSEurnkBHVqFBDfUTfAcBms0m7GnZ5ed/73ichOvKYyCOBBOa58jwlEglEIhFpQcaQOVDZN5O8Yp69NrKyGWQNuO1snjp1CtFoFOFwWFoLku/5/O1R2G63W+ormpqaYDab4Xa7cfPmTZGfbrcbu3fvxs2bN2G32wFAnEGVB6wjoNF7/fr1itSMvr4+GdvNVIVIJCLpLdwvlGO5XA5Xr17dED+4v4iI0QHR8kuVa6puLhZXxnL/5Cc/wcc+9jHs2rVLnBY6OareVHuj81nPz8/j+vXrFchuNcBG69SRwuEw/sf/+B/wer2ihzarX/hdXUtzc7MYidQTbN9kNBoxNjaGw4cP4/Dhw0gmk0gmk2hpaUFHRwc+8YlP4NVXX0U8HsfQ0BAGBgZgt9uRSCTw05/+FDdu3EBnZyfuueceGAwGJBIJ6RntcDjgdDqlBzmLGtm5g/njJpMJCwsLknNNtHGr0hcTiYQgo7wGcLvugbKf8rNYLOLP/uzPMDExAbvdDp/Ph3vvvRfHjx+XNnEXL16EyWTCwYMHBdxYXFxEOByGz+eDwWAQMKSjo0POnmrr8ayqkWbgtq1CPZ3NZiXFBFhd567beNWGKVTjZ3h4GAsLCxWGFR+KqiCIwlKIqmPoiAiUy7cbZ9MoVUPcKqQP3BYUwO0cWCKNfIg8kGqBlpoHul6qdfj+7u/+DiMjI2hubsb169dlUhILQ3ioKARUIcF7NpvNMnRgaWlJNrjqmaihf3pV5LPamNtut2N6ehrPP/88jh07Jr1MiYQT1QEq+/1tlicMxcRisTuQmmvXrmFpaQkDAwPQ6XTo6OjA888/jxMnTgCA7CFu7kQigePHj+PAgQO4fPkydDqdKPWf/vSnsFqtOHfuHGZnZ/HRj34U8XgcwWAQp06dwuOPPw6z2Yznn38e8/PzosRVw0ndpxwPyZneNHY2m/daLpfxs5/9DP/4j/+IGzduSKWmaiBxr0YiETz11FP45Cc/iXA4jN7eXhw9ehTPPPOM7Id8Po/BwUEMDg5ibGxMRh7TUXA6nRgYGMCBAwckJyufz2NqakoMeq/Xi3/7b/+t7C/y89VXX70jfadQKCCZTGJkZARf/OIXJQy4Hj6oOZFafqp/0wo3/j8NN7X9DF/ns3I4HBgYGECxWMTLL79c8Xn8mTxX0WMVcdUqYaYqAJBqYvJTlYPrJa1wTyQSCAaD8nlqsaWa4kJEncYiIxHkFY1Q5p8RpS6VSjJNh881m83C4XDAbDZLNfb58+fx0Y9+FEtLSxUts9Tcccoju92OcDgskwq1aSAbpXK5LC19yAPKc/YsXVhYwKVLl9DY2IgjR47g1VdfRSaTweDgIHbt2oV4PI7u7m4cPnxYHLuOjg7Jjed0R94jc4h5PiYmJnDhwgXJHeTzuHr1asV+ZahU5avJtDLbPRgMwu/34ze/+c2GeFAsFvH666/j+9//viCfqmHKCBVJDeOrkaqlpSV885vfxD/9p/8Ue/fuFT3C9Be1QJE5mtlsFr/61a8QDAZFrpTL5Yq9piK51SJN5Pvi4iImJibwjne8Q/TNRvihfucepAPHtZXLK8VYVqsVFosFvb29yGQyGBgYgMPhQFdXl6SdMPfywIED0lGArQP37NkjPbD7+vpw8OBBmSiljkR1OBwSjqdM8Hq90s5O1bHU60ajUf7HbDZLvvRGiXygM6kCfMDt4nemEJpMJgwPDyOTyeCd73ynDBo4evSoDLUwmUw4cuQIisUizp49i7m5Obzzne+EXq+H1+vF7t27cfnyZdy6dQsf/vCHJdxPUkEC2nFckxr9pRHPKLg2qlaNdOsRuDqdbhHAZP3s/K2jnnK57K/3zf8f8ANYB092+FFJO/yopB1+VNIOPypphx+VtMOPStrhx530/wFPavJjXcbrDu3QDu3QDu3QDu3QDu3Q20lbN/dyh3Zoh3Zoh3Zoh3Zoh3Zom2nHeN2hHdqhHdqhHdqhHdqh3xraMV53aId2aId2aId2aId26LeGdozXHdqhHdqhHdqhHdqhHfqtoR3jdYd2aId2aId2aId2aId+a2jHeN2hHdqhHdqhHdqhHdqh3xraMV53aId2aId2aId2aId26LeGdozXHdqhHdqhHdqhHdqhHfqtoR3jdYd2aId2aId2aId2aId+a+j/AvDNNEuBGuSaAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 864x180 with 20 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(2,10, figsize=(12,2.5))\n",
"\n",
"model.eval()\n",
"reconstructions = model(train_data[0:10].cuda()).detach().cpu()\n",
"for i in range(10):\n",
" ax[0,i].imshow(train_targets[i],cmap='Greys_r')\n",
" ax[0,i].set_xticks([]); ax[0,i].set_yticks([])\n",
" \n",
" ax[1,i].imshow(reconstructions[i],cmap='Greys_r')\n",
" ax[1,i].set_xticks([]); ax[1,i].set_yticks([])"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x180 with 20 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig, ax = plt.subplots(2,10, figsize=(12,2.5))\n",
"\n",
"model.eval()\n",
"reconstructions = model(test_data[0:10].cuda()).detach().cpu()\n",
"for i in range(10): \n",
" ax[0,i].imshow(test_targets[i],cmap='Greys_r')\n",
" ax[0,i].set_xticks([]); ax[0,i].set_yticks([])\n",
" \n",
" ax[1,i].imshow(reconstructions[i],cmap='Greys_r')\n",
" ax[1,i].set_xticks([]); ax[1,i].set_yticks([])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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