{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Dogs v Cats" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "%reload_ext autoreload\n", "%autoreload 2\n", "%matplotlib inline\n", "\n", "from fastai.imports import *\n", "\n", "from fastai.transforms import *\n", "from fastai.conv_learner import *\n", "from fastai.model import *\n", "from fastai.dataset import *\n", "from fastai.sgdr import *\n", "import skimage" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "PATH = \"data/dogscats/\"\n", "sz = 224\n", "arch = resnet34\n", "bs = 64" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "m = arch(True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "ResNet(\n", " (conv1): Conv2d (3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)\n", " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (maxpool): MaxPool2d(kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), dilation=(1, 1))\n", " (layer1): Sequential(\n", " (0): BasicBlock(\n", " (conv1): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (1): BasicBlock(\n", " (conv1): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (2): BasicBlock(\n", " (conv1): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (layer2): Sequential(\n", " (0): BasicBlock(\n", " (conv1): Conv2d (64, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " (downsample): Sequential(\n", " (0): Conv2d (64, 128, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", " (1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (1): BasicBlock(\n", " (conv1): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (2): BasicBlock(\n", " (conv1): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (3): BasicBlock(\n", " (conv1): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (layer3): Sequential(\n", " (0): BasicBlock(\n", " (conv1): Conv2d (128, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (downsample): Sequential(\n", " (0): Conv2d (128, 256, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", " (1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (1): BasicBlock(\n", " (conv1): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (2): BasicBlock(\n", " (conv1): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (3): BasicBlock(\n", " (conv1): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (4): BasicBlock(\n", " (conv1): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (5): BasicBlock(\n", " (conv1): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (layer4): Sequential(\n", " (0): BasicBlock(\n", " (conv1): Conv2d (256, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " (downsample): Sequential(\n", " (0): Conv2d (256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)\n", " (1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (1): BasicBlock(\n", " (conv1): Conv2d (512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " (2): BasicBlock(\n", " (conv1): Conv2d (512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " (relu): ReLU(inplace)\n", " (conv2): Conv2d (512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n", " (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True)\n", " )\n", " )\n", " (avgpool): AvgPool2d(kernel_size=7, stride=7, padding=0, ceil_mode=False, count_include_pad=True)\n", " (fc): Linear(in_features=512, out_features=1000)\n", ")" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "m" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "m = nn.Sequential(*children(m)[:-2], \n", " nn.Conv2d(512, 2, 3, padding=1), \n", " nn.AdaptiveAvgPool2d(1), Flatten(), \n", " nn.LogSoftmax())" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "tfms = tfms_from_model(arch, sz, aug_tfms=transforms_side_on, max_zoom=1.1)\n", "data = ImageClassifierData.from_paths(PATH, tfms=tfms, bs=bs)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "learn = ConvLearner.from_model_data(m, data)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "learn.freeze_to(-4)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "m[-1].trainable" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "m[-4].trainable" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7172b89ff38e4afca0f3a11140a2b079", "version_major": 2, "version_minor": 0 }, "text/plain": [ "A Jupyter Widget" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 0.12421 0.1227 0.98633] \n", "\n" ] } ], "source": [ "learn.fit(0.01, 1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "a99a7a2bb00749f3879cd386e0f6fe8b", "version_major": 2, "version_minor": 0 }, "text/plain": [ "A Jupyter Widget" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 0.0725 0.07043 0.99072] \n", "\n" ] } ], "source": [ "learn.fit(0.01, 1, cycle_len=1)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Class Activation Maps (CAM)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "class SaveFeatures():\n", " features=None\n", " def __init__(self, m): self.hook = m.register_forward_hook(self.hook_fn)\n", " def hook_fn(self, module, input, output): self.features = output\n", " def remove(self): self.hook.remove()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x,y = next(iter(data.val_dl))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "x,y = x[None,1], y[None,1]\n", "vx = Variable(x.cuda(), requires_grad=True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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pIE/y+Xzemw9PTk56RnFycsLp6Sl3797lZD7jZOaZL+bM6lny/3DJHyLHcVh5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QSCj4zTiGs2dVUV7wNnEeZ5MSGZKizZFgLBuhBGrKmktJDPC1ULYTQKs7aRu1JsEUzTZBqY3roO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\nv38S+PYbxOUAVPV/An82230M5zeAn1KDXwEeisijrwymy3AE/2PwBvCzq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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dx = data.val_ds.denorm(x)[0]\n", "plt.imshow(dx);" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "sfs = [SaveFeatures(o) for o in [m[-7], m[-6], m[-5], m[-4]]]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Wall time: 20.1 ms\n" ] } ], "source": [ "%time py = m(Variable(x.cuda()))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "for o in sfs: o.remove()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[torch.Size([64, 64, 56, 56]),\n", " torch.Size([64, 128, 28, 28]),\n", " torch.Size([64, 256, 14, 14]),\n", " torch.Size([64, 512, 7, 7])]" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[o.features.size() for o in sfs]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([ 1., 0.], dtype=float32)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "py = np.exp(to_np(py)[0]); py" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2, 7, 7)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feat = np.maximum(0,to_np(sfs[3].features[0]))\n", "feat.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[ 0.06796, 0.09529, 0.04571, 0.02226, 0.01783, 0.02682, 0. ],\n", " [ 0.18074, 0.25366, 0.21349, 0.17134, 0.12896, 0.07998, 0.02269],\n", " [ 0.32468, 0.53808, 0.58196, 0.51675, 0.36953, 0.20348, 0.06563],\n", " [ 0.4753 , 0.82032, 0.93738, 0.84066, 0.58015, 0.30568, 0.09089],\n", " [ 0.53621, 0.90491, 1. , 0.87108, 0.60574, 0.33723, 0.11391],\n", " [ 0.44609, 0.70038, 0.72927, 0.60194, 0.42627, 0.26258, 0.10247],\n", " [ 0.21954, 0.3172 , 0.30497, 0.21987, 0.15255, 0.08741, 0.00709]], dtype=float32)" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f2=np.dot(np.rollaxis(feat,0,3), py)\n", "f2-=f2.min()\n", "f2/=f2.max()\n", "f2" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "image/png": 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rfmGtVvTf39TvL7I9I6ZA7S/13JDOiYsi78ASkqy0uT+KWtHLooLiyCBeegQptbtptWfY\nt2V1XiBeIp0hB2x8/64hrL/MbYvenoNNwwy+2uxC9w2qz2rssx6ffL/tY/cdf47tGTEFVJtCq2Ro\n0xauxVrABGwJSZRAaQRAKEpQEagoplwgKqY6eE8tdiHqIy7vH4bELYkPnCMDPHBuPM+aTtYqSBz7\n88pI3nfrBU1lDBuUuAgb3ohuXH9fS/v1sTWCeKi/t2nvm5k8C6ZAAJhNiqt6JGAlZvs9uZpAnCBp\ngCBBiTApoQgweYYia9RQ4EqVa2JltMpDvQEoNnFJaKpDUY0l1QjdOVgYlSQQBvGCecQN10yjZxg9\nYKUNI1MRaYubes/FuWh+WqzHFlBeX9+KxgLNYHd+n3O22JeMj5Rx9nqC6z62QpJbVWp4MVJ4QJ+N\nyeoE1G0Wur7E55HAiWuCGjPXfS+C+KOsmYjUz/2A1vaEtRu5RwCKhjB6NaLvYz1b/b36x4hqzssZ\nbb+9byHyLJgC0BmIagKAYwUCmAawMwSQGRQ1iFGcwBWeY1CtD0aQ2haa3adPUNo2+PXSvyuVZwsT\nWmsDRFQiwVySwPIlvo1NIRZeNUZ1jOBpGu/btC1GA9Q5rdPYnmydnt3Op/p7TfTS/pr2uVaeov4e\nrc/lxjbw2hRx7nLMbYcx1HXhd6oDJOMqNYq2MuuVTaGmrN8XUuy/x45RW+dsIYatncjOru1iYeJv\nv27fZ3seTIFgLyuUBjLiZ2akNCAqHCks1Hiei8cWWG6CwNCFuQXb/nvxMtbE1NUqOrMGK1CRgsC2\nBhOYoZI8np7IF3t0o8223asg7+IFrrd9q56Sd6yw3+/xakv2nGD7fR9aBaBgDHXTGydQkd4yIx1D\nCF2fIVIgos4gLOhMVWo5sZyze5FKRVDSowOCr5uE2DxlUd3YuQnBk81ELAFOWyXk2HthEXwUyLJz\nO/JG2nKPKrZsCfchDl19j9YLqLcRMm/TngdTANW8BAKbN4FtQxRmRla2KscwqdGXIqyTXNWG5cS7\njFndzUKYo/Xn9n/j3DBGKpbp2fUcWnornv707e/Z9WtJ9941ytaMuLtMD13/1lpP4Nak+81jPnwT\nGhPgxtUtFkQqMeY5V+aRBgtLFxUMaQARcDyeICLeFxDqSagkAydwYozjrjKWxNYHfHRDShjHse7Q\n1O/ABISMoooEekLtE6KAJUq47808lEZd+1n9XcztPb89xaX5lHX5LJgCAXV3HWYCp4QocaYiUOUa\nZ1CrD7mciNCj0P0jKQpocHCL2NcwPcZBWCKHPnU5yLYlNJkUt7TtN0cq9py+f8EPXacdO+jtE+++\nnY/C1KS2I9GS6JfqgKqgeBZpEHtA+JKLE7J0iEI7ZiFGvIkxzxkiBQAhJQZzQikF4zhAFZimkwmG\neC8qVcIDhMRWGWscR6gqOBlqELfNKAHjMODi8hKpK2Ya4yMiSLdhbCLfrCf+qbaS7RtorUcJDyVM\nvXn272/vMpxtqz0LpgAQhrSHwhaBUkIBoMUqIGdyqRBErk2f7wuMEAjQlijVVT7031G/V5sBVkwA\neu95xgNa0FT87mB44brsPRNbJeM2zUUbK4P0/BXVflbGsVLmek7yitKluLJUVbRu7vw6UenmV1cE\nq8jzjFIK5jx3MNyvE2fWQhX6qwpEbLeicRwgIpimyaMzZWE7WteUWM5TG2eT1ItJRF0Q3qoHgO7R\n1Z2zMjMScTeHzWaRYEJqNwxIzLgYBgxsm/nuU8KQGEMakMYRiQlRDcTsXxtZLVXVNKNJzK3tRs3V\ndmGry8dSzd79yLdWDt/LaN62PQumQOQ788LQgbhkio1RYlLrSyY6g/zsCCGIsH81Z+diw9rrv58z\nCXsZfUCTQGuM1UJ20lIFeDcvS8+/aVtC/c+xZRjQjHNxVc9UBRHCbUSdfcsxkQIppq/X2hEu6YsU\nk/jatqwPRGALfKhSu3kKWq3K9d6b1R4D6g0R3bx1toz1DGj3O+mCLKg7bxOKO5IRVYAErXx6Q0SD\nv8c8TUhEyImR3GZxMSQkRzWnwSJnL3eXSIkxpoQ07pDY9owkBNqI+bAxJOZq27Axaf+mbOzvNLz9\naWvxWTAFAAAnQK1eYi5NSolqC2mOc59DVAy2jZTr4/EdOFdVsHF8fc3aHhKIJQhtmeDjkghu1AsN\np4Ppqoq5TAb1HTKH8S4kvYiglIJgJnFddempmgs5nkJNskVaWuj3hiAEHJvjdE9OHUGEBK1z4ioZ\noFarspssWVh47S+fMZSl/eO8aUUpa4YAeAVku5tNYSHk6Du7akGEzAwGYR5ns1MMCbLfIzFj4IQx\nMUbmGm0bz632oTKGGH9jnFrVrK32vlf/d2IKRPRHAK5hLv6sqv8mEf0AwD8G8NsA/gjA31DVbx7q\nR0E45shNUEtdji3YOJmlmeo9AZxD8rd+ho3Pb/JIhP1giR7a9euoyK18ht5bscUgevSxoe1XBNVD\n/VKhu2Ce5gXBV/gvtiVd3ENVFxb5mOiwrMezw+tQxDXL57PtzHqIRGQZqSwCZmBX4wRWxV5WDF7i\neiw+1NbbAWoX3QTVd3Av5TS1hXtCrejDbQGKurlOQveeROr7zj4P5XSqBscbV0cSEXYpYZcS9uOI\nxIw0DNhfXNZNWiilykSDmTcm70bQxdi1zdF7bO8CKfw7qvqy+/67AP6Fqv4eEf2uf/+7D3Vg0sv0\n2khjjjiFqLQM9Jz0vD11orak9/r3RRJW99nfYT2uq3PehBQeCkBZL3lVORtH04EVJecqxafTbAig\nZMyz6f/Zf48txwyqurU/HqLbVQire/XHFajb4bXxqbvvqKNOg85pSPWzEnm5CT27VzMUdqX+dWnb\nebDR+Ue6ByoYMtE6rnCXrp/ZliCb6xGNKWz962FJMOuiiqlkCBHy6WjznQbspwk8DBhSwm6/Q+KE\nNAzmaevntmlob0DI31Usnrf3oT78DoC/4p//AYB/iTcxBQBzFREejQgA6jWZqatfQPfvmqjAvb9F\ne2ih9cS6ti/EsYoYtC2KniksjGKIRWjfhy7mIF5wiucJiF9/pmaZ99/naWpS341/kx8zou+t8i71\nojI1gNGLzDSkoXUsFSU4nDcbj5egC1fdCubG3+KqytlWetxLYKpVrs5mv1ODxO8f8QDtHFTbDmKO\nQ1igS613FJD6q3skUSUMKqQXbVGjRUplTMlXInderyHm05kWqSJxi11YMAhRlHY7aJ5xPB2b8GBy\nY+wOaRgwjiOuri7BaQCTfUdVnamqVdzNOzEtmGp4UJbT+7S9Q78rU1AA/wtZ4vx/q6o/BvDrqvpz\nAFDVnxPRr21dSEQ/AvAjAPjhixcVGdShx3oN/HwPSIifeuJ8auuJOEKoepVgTfiE+7Mko8V3rlmf\noUt6mC6oLiBjCn6dcb5qxS85Q0RRSsbxeMRczAiYc4ZKMd3fr2HtlJFKuCvrdE+8DnV7A6WLPsB1\n9dRJ0t4OYK+LnaGQu3/bGxCFoxi4wdH+xmDEYThC/YnPMYSOKbQ1Tu4tABC7L4NAHFI/PvNiLFut\nX1KpQnV1+4cTvYTnxt3fPlfBAFjVg5iCQZCn8jsz6QRHRKZGjQ5T28gMuCVXl+x0OoKHAbvxAheX\nV+CUkFKqG8iqWKIfYAw/mHaEcvftbQPcvitT+LdU9WdO+P8rEf3fj73QGciPAeC3f+WHNTl6Sf3n\n3GALCdyHGtZta4q2ahus1YCt749lDJH1CaB6VSgMXUFs3aBDx885I88Z03RCLgW5FMynU92QViUi\nJYwQuKpcq2feOMYh2fz3WFwIidMt4OijJ1oBfDs8c5uVnG2xllz3ywSswlVTWwS5SFUxqiqjtocG\nvP/luGN+2hwmr7hNqe2TyH4sXKDk0bBh8ExpaIbRykCaM08DmKo93UCWgkdkWbSD98NEoFJc+yBz\nU4Kgmp0pOFP3d8+VQVikpart0xTxNCEMpBQICigTpjl7ROYJ0zRhGEcM44DLy0uM485nx5isMQFe\nbDnfM/geQTylfSemoKo/879fENE/BfCXAHxORL/hKOE3AHzx5n6MSxPIra7ntYsq6u6O9e2pNoWt\nfqqK0h17k31gaYBc9isASAWxs1LyX9R1ToYtiFwKcs4o84xpnpGz2QTE96MsJlrcqu2IyhdkXeyV\nbgIhxDM1Q1ZIVkRcQjy3uw1FFOILLvv9VRVzzsg543Q6QRydTNPszCrjdJoANUNmkc5liaaqhIRs\nZSw7dHBmfbfjESAUUla6RR5SsXqmFmgCTjQeyOS6OzNjf7G3v/s9hjQYI9mN9jlZNK2ymCvR9fwh\nGLgoxpQqYw8VInFqKoW2bFuOz+FhUSApLXJmVAVCzmhd1bI5PmA6HWqQ3DAMuLjY4+rFR0gpISVG\nkQsgDV6MOEFFMOVszCvsEyuj8GPaWzMFInphz6vX/vnfA/BfAPjnAP4WgN/zv//szX3Fp/WG69tc\n7m3VhMe0njHchxAUb2YWcSziJwCTriFFS5Ya1DN3jCCkalwzUAKxXUPdyw5rd5u8qAHg93bqW0Jw\nJ6iFHUNMUongeDwhl+yfj8aoiuA4nTDPxhQiMEmkGGoR9W3QtUZ/hoQWccLv9GqUc2DPMOKmSjwt\n27D/BzT0oqW0+SYntEBa/hk+jqMb+oy4EhIn7Ha76gXYX1wYoQ0J+90eu8GI7mo0gyC8kpcBDbac\nPFWg2Kpg5rr9/JopoGNkRPBM3rauLXIXbezaUIAxIntKkYLj8YBpnsBs6sTVRy/Awx4pDdjt91VN\nacZKrahvIQXe0L4LUvh1AP/UH3gA8D+o6v9ERH8A4J8Q0d8G8McA/vpjOnsz+Z+rEcAyUOmxj73m\nnD1BrxnCmgn0SKKPWtzqKwZFCE9BQQT0HI8nYwSTxQwUl8AB+YYgak/H1o4pLCIZu3ESNZdfC35p\nPnhSQcQwlGzoJOeM6XTCPM+4ub3FnBtTKKVYsRoPXlKJiMc2HgBQdxkzOcZTNHUEgVaMqKpBsR+8\n6vIddmpL1cf9nKKtAEpV2TwgKfrq1TGookjdJRRlJmcUJzMQEmG4G+uc7nY77McRuyHhuDPo/vHV\nFUZXQSgNSMmiITmZDSFVNcLm2MZF9lkbozhXhmPNcJ0bByTt+R31KNnGxZJngAgpJUx5Ag+XGIYB\nL168MJenM4f77vWY9tZMQVX/FYB/Y+P4VwD+6tN6i2IoWG3/ds+9V9/fzm/bwHbLkPCXR7U0LEh3\niCUbxjST/gTVUqUcABSUOjh2OJ5zQSmCPGfcHQ4WdqyCo0tkVTXjGAGjJ/3UERKQaLRnVq06dNzE\nMgIbg5Ds/QE1sWg6GfPJpeB0PLiB0m0Vjk5ub25tT8zQTV2VA20HZzVPgX0fKRhfN72qoLonJwBo\n9dhsvbMIYqrohxpCiGcyxhNYMgqnhJphA1Q0VdTuoxGE7NfZNZqlbiicp7k+3Y22nIWB7cqr/Q7D\nkDAw46PLS1zs7PvHL15gNwx4sRswDoY6Bk7uOVEkJDcaiDO2NmdmSyn1RVc7E9gFiUX2Jh+ziEIS\nACQL8BPBdDwCegQR4+bmlatFl9i5N+Pq6iNLJPPkwse25xPR+IzaktMqGLpYxPab1hiK5pqzH1UU\nWQpyLjgdT+5CDN3b+yBbuAO7D78ueK0SwoJg2stcMgVt0qV4zmfYJrIzoJxxPBxMPSnZGYJCJYNg\nBsA8z5A8Q4s0yV7xuhWcWQdf9faUNmlUJXyvdvXzGefr6tothEcazNqY3xnBU0jfpqOvh4OOCYX2\nJFullzqG1m8tYJ4dxVEKiC0g6XR3h8F1+tsXL7AfR3z/hTGKcbfDi8sLDGz5EQhPiedYMAhaWrRi\nSr4hkZjxUo0D1vs31YlAKWw/ZrdQtflWD2fPeTZbUC44ckJKA0ou2O/3GHd77HbjxnNvt2fBFEJO\nrz/3je75fQ338cBn4BzyKxrc5CpuOjsACYBWODYKuSiaLz/PBVPOmByOHw4H5CIufRsUDuMYOzOo\nxqBAJQHB3bgGIpBQJVJ1qWPGvwkqBcfj0ewSpwnX33yDoyMDcZ07pSYnU7i1oEhEmN2VNaqjnQ6m\nSEjUjTmsEZuhK/tMSscY4nMfY1LtAURnfYbaQD5XGu+jo+pw5fmbqFCCpL1L1F/JGK+27QBMjVky\nLqAhEcBnlvikAAAgAElEQVSNmf5M5ExFI8PSpfeUM1QFx5sbMBG+JHiSVMJHV1cYxxH7cYdPP/kE\nlxd7vLi4tBoNbLBfkNCHMZPbJBbqg7itIdYGWoxjuCFJFQZG1FU7AGrCKOcJh8OtoZdhwP5ij8e2\nZ8EUvmt7vAnlvHUkiZ7FRMZjjxIIHj7bQcA5C+Z5xjTNuHNInnOphq/qyiIDpTUIhpIv1GBLWuGq\n+duDkKN4DFDKZHp+ybi5ucZ0OuHVq1c4nY6YpwnzwewATISd1wsYCA3Ge5BOUfNqoAhYI4CqzwOw\ncxGMaTXPvZTvszQXjKJ3i8Xc1Re2TFaqqKzrqxYzWd23qpkBHbqRUf1Pk7CglodpfIq6K6z175Sd\n13B3QhCdiYdl3IeqAmyoorgHKaWE3TDieLjDxW6PX/n0U1xcXGC3G7G/vHB3KTeE42My+cBI6DZG\n7tGXxppql0VpQfGZKdKSvESlJrjNZcJj27NhCn0k4TbAs7ZeoG/fNiAnFsvLUYXUl2AuRqv2VLJg\nLgXTccacM+accSrF8gjg1n8CCNwWqgf7mFfCjqV6XrjZTDxF2LCK9ZnnjJvr15jmCdM04fXrVzge\njzgcD8jzDC0Zg2hLxnEEEn8DSkd5uZILIAWsgoTwHIToVWRdEmQ/YwJUBNAf71WNnpEu1bHzfpfs\nOKR0DCAyTWIO2zVQT3XvOusJ5kx96P4uvUSGKuLCsFGE+pN6T46jp0QtWlQDisBiMYrYDuXzPOOW\nb5GnCbv9HvvdDh9/72Ps9jtzMV5edJ4J/8tkg6fBGWp4JBy1UeUNi0nsA5cCTaXUPluNise1Z8MU\ndPV33fr4+7713gfZuHgLpvaLsndfBWEwRxkw12I9XmCazTYwHSbMJSz40lmLk5ebdwlLzcdu6eFG\nIhZyol72K5BILABbUIe7W0zThOvr17i5ucHhcMB0PLjbMhu+UJsBVutvx+yFSQgJlp2YtLjeaWHO\nVjyEcVJ7LiqCJOKSUav02vsi64O37pvD8HYUcVeqLsO14xqNk1d9nr02Ry7m5tuW7qZSkSM6repB\nJBWFeqHoQrUVaDECHTMjrp9NNbInDCbQ37kmh3ZIpnKgQBGm5UGLoKDgy9M3cQnIi77sxhHf/8Gn\n2F/s8en3P8Fut/eCMAx4OULjM2Y/sOAnFxKh2kWCGVBjQUARuwKwttoNTxGiz4YpRNtCCVttbb1+\nckJUlf5Nb2WlCslMfzUPQhHBnDOOhxNyLphOs/vqFerlvgAjDHv51o8ZClEJwQtWW2AMGkIIOD5N\nM8o84TRN+Pqbr3E6HnHz+hVOxyOmaY7Rgn1R1CyQ6Ict759BNbPPMhwbMyIRj0EuIBGvfm2tMZoG\nxXvY36O1tfSP46yN6LA6Z110pr9ujRzsWAerYcPujZXoiHeNQvpo0f73+NSPa00y62faagtbPtX/\n1N508WPo+4DOBae54HiaMOWMcbfD8XjCxeUlLi8u8Mkn3wOPnrnhpQMsKpOR89xMUASkRFCJIK5Y\nE60ZiycoyT0G1u32bJjCWj14qD2GIWxxRtr4wtrAqell3Cy7KjjN5rab5xnH4wmliNeINAqPsFtT\nLVuUoTozGFNz5jXpBowwIZSLeQuKFNzeXOP29hZ3d3d4/epbcxmeTm780mZ93njCBMIQZcSc8UT2\nYkQ9tqIpAkgBeaTk0NkUGgNQg9K0JPCYb0JHGFqvqP/WsSP9sYTl6Ndh5qTqiT92pEn0huYao+nL\nqverSBdjbe/7/J59i7uxo40Yd89Ezp17vcO2Rxg+Jm1Rl1YYR1BUcXs4gY8TpmnGuN/j8nKPuRTs\n9xfY7S9xeWHowZBHZLb6vdSMxTmePFzJ1DFRAayc3uJtvbE9C6aw4Ky0zRbugz9rafXoOy7wq+9N\nQAwVxel4wDSdcDpNOGSxbeeKuaWYxmrxBdASVWBBKOE9IApDUHwnMEXxE3Xpf8LXX32F6+tr3N3d\n4nCweAGVZk5jsEtz9YIl7YF7YkhE2FGqsDbZlcYUIjhmNo8ISVMZyI2g6iHOgi7egLbTx9fqg02h\ndoSwrXLcpyL2KkqV8IoIV6hPGQbXttAb8mqMyeY+JON6nAGF+uO92kkdGqHVX8ZyrQWp2a07RLC4\nQzuuGvtXmHoqWlBEcXN7gNwcAFJ88eXX4DRgd7HHDz79FFdXV7i6usQn3/sITFbM1lRMUyOYR++z\nqQ8IBsEWRl2jXx/ZngVT6NsWgW8tsIfaQ78v4CXZpKmrAjnPKFlwe3tXQ3zFgTgT+94TXCMDAbPc\nRz2CpC0Cz1QIrUwCsNTneZ4hJePbb77Bzc0Nvv7qJY7HA07TqRogI5lHxTLwQoccuDPuqSfshGpQ\n9fDz5yWXVmahcpVBtPr/zbYV+vmSgBfEs+hzOd+97loTqDb6CfWhH+ZWfQnyi6Oc/uK+ftxuQI3s\n/AaEsN+oq+WubGjDWYtgrO7u0Vdky26tx7PnD69AjKObmB4h1bWHiICM1HKuAV7znKFzweTodL/f\n48WLK+T5U1xc7PHihbk3QRZcVQr7OlZTIWqEmBfKrfGwj2/PhimsF975j+evZw0qzB0W8CqORq4/\nqptLARRNnnuQMc0Zp2nC4TQZvPaCLyDGGKm0nnkHwBhDIALPurP/F4td8H0KDHUcre/jAV9/9RVu\nbm5xOhwwH2/dvVhARNg5YZvUixRcClO/IQBtz0UmDl3fTBi5JQBDFQMYiSzDDzDrc5knyxnQJl2p\nq3EoMf+u5iiMoNY2hcXfzibBRNXPX6dfuwrb1O6zQBnd9yBg2y3coxarKhHIqwp8KMS2EFQ7GMwh\nDI7a7SHBbLuJxRiC23DMnLaUZ3uffu9gJBQBZmuFShGsZckwIvejU3bI7lvEE8Hi/QRD9evmPKPc\nZtzd3eHbb7/Fz372c1xcXuLTH/wAH714gcurK3z88ce43NeIORAI42juUVEBe+62y4JHt2fHFN7m\nmiUnbmKlh55AJzFEUWDpybe3d5hnCzqKPHXbe8I3BaG2k1CoBeGy6t1ythjsu9U7sOjCb77+Gofj\nAbe3t/j2m29xmk4o8wxIrouQ0Ppa661rqbSGtKYq2PlDeDr8MwO18AeJ2D8NJhAwum2TF+Pv57a/\nV8+4e8JfI4vF9WFkxfJ93a/Tt781fJnaPFDlCDaC+9SEKpWpIZR+LvvdoCKmIlBMQzp6JngWfSwe\n9LwF02wXb+GOe64jC5aqjEKB27sDsnyF19fXuLy8xKenCd/7aIdxGHF1dQUiC382tMag5AhCZHMP\nzfvas2EK76Qp2jTWSWhVeYw+LDFpngumPON4OJorTVsFXSZyNNCs+eSwPqRWS0gykgh1DiKYTycc\nj0fc3N7g65df4XA84nC4w3Q6LRhBGB17wiEfKK+P1adZfjaidm9DFygUBUDQ/WvJWtot6IYUtA1l\nQej3qQ8Lb4IjmQheqn/7WepQwwJ+Y1t96JPoa4Qi+TdCRQdrV3TPIIIBGYNcMoDFxrIxb5U595Gu\nMQJUVLi4cKP1UZINATy2dey5gkNTcY/HI+ZpxvE4YZoL7m52uLq8BBFhGEaM42D7psATxSCOkh5/\n92fDFNYS8O2uidJltmBCfwsYfDpa4M/xcISW2EQEGNmnwSMK2Q1BIJug6koM/6/D61hUxQNVXt+8\nxt3NDb788ktTG04nCyxyohxhgyPA6yL4Ao5gE7SEn3DtrcuXO000YiGzyg8AYrfVRGTXu9EymNwu\nJWRVZGkJX6ZKSH3eWMq1zD6WTGGLWax/x8b58Y+w3U9Fcf78BT1yomq5j/oQJtGjBkd7Fjvdwpsr\nAYew0G3yDAa9mGO/sNajiPEspP3S49I39q3oIl6lIhfVs/lY9xFsqx4L8MuMImo1LOaMu9OEly8L\nUmK8+OlnuLi8wK//2q/i4uISu92IFx+9sE2Z8RTfwzNiCk9tZzAujmnE7YdeSchFMOdi8GvOyEWQ\nfNEnD1RCt+DYXXsE8xgQxcYdtshqWLAIpvmEw8GQwNdffonbmxtc39xUL0K/w1BUAiYAXCMf2xIM\nuN9bi9d/67N2kDrBGEMEKVWm4IgjgqgygAjG6Q2SyRF5SHEFvGD7udR9iCmUsCk4/E7+HbAaTfFb\n9FltFR3E7lFEqDlLXb1J+nicHvXYQTqDy3GLWqy2QzWL8+rf3udPdb61Xb4Yx1Y/9be4V69KPNDU\nn2Ex+QTQQvEyd3jJBXkuuL6+xeFocTRXV1e4vLzArygwjoMHSz2e1J8NU3gbpHDeRxcS20nx0/GE\naZ5xOBwNbg8DOBcjcJiaYGpBWHUbfItSXBaRGCnUVi1J8ozbV6/x+vUrvHr9Gq+++Rqzl/tOsQ1Z\nGOrUQpDjn4pDzE5VqBy9Ozas5mQ9TxYIBSTVahOJwCVVxTgMnoxjYy8iGPp5Arlr0hmMr91gAAX3\nqxEL1QBLlaIec8s4eV89Q6BVf/1z1eNEq4Cl/oPDfD07vBQU9bf+QqporHTMYavAaTwLN1D/xnaG\nHqoB9fx33ThuniSqdmYAyFLc02VCac6lxi0ICHMu+Oabb3F9c4P9fo/TNOPy8hJXl5f43vc+euTI\nnwlT6OHN1qSfvdA4V9vrTmTunSyC43Gy4iFzxuE0W2UhtVTV5LtXD8nkEMfuP2S6OUiRyPLYKQhY\ni8WO54x5nvD61be4vb3FzatX+PLll9BSLBFFFDvEK7KnqQZml5AcBj9/0NQtyH4eYsEGgQNotg1X\nH2oRU49rCHjLYbdgttwHVyUGAJe7HbIoSra9H5gi21MrsgKA2V2MCxUgxkrULV4vfEL+OWwJPUxW\n2wQtwcZasDQ8SufCLD1RqhG8ULcVoI+1LQeqk8ZKVg0K7rOvkL9ZBODPUZEGsDQ61rPaM7ITKKjZ\nnQBFLlrtKA256OL9AR3Ti+d0b1Lcv7nH+5Bk7uavPWufJSr1N1pwmfk04zjNuLm7czvDiBdXF3hs\nexZMoW+PAVgB9oFAw+ZNUAHmXHC4O2B2b4KU5ju36sTmRhzcR8ORSei/AYSBGjGTFtPVS8E0nXBz\nc42Xn32Gw+EON9fXmA6eX1/h/NqIty3dQ7r1GYfhkuxVoyH6ouZl8JWM2JqsVyVa/1pVkb6CUQ2b\nJSMuItTgqCjgWkQwdLB/jRAAIyzpiInRIQFtkL+vVtWn5CzsD95PGASriuVP1M9JjwoC4leSrO+M\nULqV1KPwYM7kz7A2NrartlfiY50JfU7OY1qPUOy5Vvc/u5duHFzqNBF7YzUfZzy2PRum0OtfZ23D\nnxJFSqCWJDJPM3IRTFlxnLPvVo0KnRXkBkSDyCGhw/ccxxVRstt4cfEaCfM04euvv8L1q9f45uWX\nHtyUsWOH4totXl0SaDzfgmhXvwNu1FydnyjOayHH5FKBaeWl6I1lgTRWpb+VjGCE1jLRmmgwFFQh\nHMTeJzkpTIJL71bF2t++VCmiRZ/9mw70sFYregmeEFJVmy3Bnqqdp0sbRPTBXZ/RXzCjtcoQwncb\ntToT6SR2D//re+1VknXfq8+68e8+fLxUOdaMITimv3tuRnYtGY9tz48pbLYN1UEA0YLpNGGeJtzd\n3aEIYVK3tvKAlKhm2hlSgIeKMhKM8Ln7Laotswi0FJyOR7x8+RVu7+5w8/o1vv7qK5CKowJXFTwy\nhMn2XagSzXXdflOTPny2J2Z0v68Ni7uwd8AZA7AgiiD+yHWomZl+fAjJ6GqEEkGIQGNjChLl1kWQ\nHcpKqANoqkNA31AjBMYYshjplU5lKAGJ0Qgz+gpGUlEEtViJQBPSfV4Qj1qazyKHQRsaCOZRqKlj\ncVx93heMQFutyfO2XHcCR1WOAtXVzb7MXDz/Y3rsi9WcE7+054v+6tjjHGd3jhzjaC3PpybgAN7M\nIL6vPRum8JRGQN0F2cqNTcjzBOWdhSJDq1eBSL1Ut11rQT7sk9ViDkzfLVApmE5HnI4H3Fzf4IvP\nPsPxcMTpeDSjH7Pr8AqoJRNFC6Ngb/xK0DrmBVPwZbNQH7CEyjbW7tzuc9WrNa5V3xk5gn6MMQxd\nfxHIk4gBbsiiCLw0m7ongnwRmW1F4jwfp4Ye3fniw9XaqwtASLS2uNdGxZ5g+3MqMlhdE+u/l6Ot\nbmOgmm2DYI9ewg7Q33/ZdOtg/S0YQz+u/h73Hdtq1SPzBu9EG+fDqkXrx4K7EimYEh7bngVTIFWk\nKFuG5heOZxf2bdMVKEVxd3vA5K7FacogJQzDx7XGYWwOQmQMgDxnIDFjIMsWTMn/uuFISsHdzS2O\nd7f47Kc/xe31DY53d9CSK4wf0gACsBvYmUIBaakAsmT7feDmRVApZjIicnTixB/uTaDaHwbqmJc/\n+2iX2nE2CVJVJ+oWAAHsMc1CVh8oMYMHNiJSRUrsm/hm7C735oIUgWYFhIBsUocU0GyyigXN1Vk0\nRDtYPYlKTWJOZPaI7C9NQIgiyzFDBfYMhaiiikAEER4dJfEFto81EVmfCvT5oRbMtIwCVWo1JcPr\n0W/Ao0QgLzai0JqKXWoftCDkurGL11sgaWpKeI4EgChjLesjBqYyaQRTbhQcy5y6z8GLirRnBQXS\nC5LofqvfqbuvrwNRf/e8Gt3D7VkwBXtoRVTZ6Q1HYUWWYtJs8qrIUsRhG9kipZaHkDw3IbY98/C3\ntkdgSHcnuFIKjncHfPPyJW5urvH1y68wTxMggtELdg4pYUyj9YlIY/admVQAtQIZfd3/gHKxDALK\nNw9Di3kgEJL6HogxbqjV2uD+Ivji0JZ3AUBJIWRBSOT1H4kJ4JbLb7nHhIEH8Oju1SgorIQ0sGN8\nQiErWmpU2yQjaYRPI8BrJe4MW1CNaJskPgtrdigclv+IzQhPQ2jAikBTtLA7aPe5RysSjGJlBNUw\n4lKoHBEV+QC5uAoEBKrSjjCX916jAvHpbnikF3jLa6QbQ9sYJ2wGy3P70W6NXBf/dW+SNnXrMe15\nMAUERwyuHsY74/a5AIfjjHmeMGerfmSchJGGVBlCbCoaDCEMiPEeWkKLpzCL4Hg64nB3wPXr1/jy\n88+s6OrJMxZ9R6YhJYzDgJF9U5BSaq4/14kXEI3GIErxQpyNhxPaZFe0gFYEhQFAxDYddWiihFYm\nzC/QlRWTuK2ysJ0EA1HSZql06iK150o7l22FwMUz6SRVilMIVMgKgpKjBWpUzk7lWgChxnCLP2HY\nJAIhNNuJP18YBENPxpLYFrEJ1OoaiC7tBDE1ujq2eTwI+5FteV2gD1n8fl9/VBlChw5WSMF+sxH2\ntgMBajGnx6og2y2YkJ7d96H2bJhC1ffYIKyobao6TRm3x4LD8Wh7JgBIPHq5c3S2g2aMSxwMwSRu\nSKGByaIQTyecioU7//Qnf4Lr62sc7w4opxNIgYtxMOIBcHmxtzr/aQCrp6tOVgRzYALJDNFiuQbF\nJHHb6VmheUZEESZt+zJEDUYayPdpbbBZGEg7h4vsC4fQghbYF1znxmAm2/YMliOgxdK7h52bT0Wh\nyeLn06jA6O48IQx1M0Vnx6KQuwzNAAqZeqGGJoLKtKDCgyTGC1nUKkPD1QcYQxjQCD2YBbnnIlx3\nBajMMWwQ8TkMlCEs+kCfhE66dp+jBFvNLfH1EExFyKRn6Wwj2t03+le4cZG6UOxKyi0U/Gwdd+oN\nVv313xGISlvP6mgRiOPra6ytPR79Pap66WeUJ1ganx1TgFoUYi6CeTbCnWaGFICIKypo+4X6d0cK\nrOTStk9FNqIqpUByxt3hFje3N7i+vsbXL19afoKHJBPBDImqSGnA5TBgNwwYOJntIg0+wYrRGZiK\n/WWIwVQpLYlmGBxNKOD7CIDUKggTWTm+FIFIZDERFUJYcNXC+pgaeuhRgtX69D4IRn0AaOeeCLHr\nVNQ8D6OTgagRdGy8qgQt1hdAtmUd+Q2cMWiY28XvWxxJOKNgRxK96hAjDR2+l+oGtRti6KMgexUh\nCLcPfIK/37UxsjKa1fqKPmh1fLN1BkyovbqGanSpunTPAnTGz0Cqev/9osaTaixVBfpqz93zrp+z\n/9uPFegyPKPPR7bnwRQCJnn+/GmykunzPON0mlF0dF87gRn2z5lpbJAS8f/hArTIBI9Ac4tXniac\njgd8/fIlvn31Le7u7nA6HLrAJbWgnlLAKeFiZ9FgAydLRWar7T+OI0oR3y4MUEqACgbJrq9KVQ8A\nK85KBOgQ9QHUIgahUKu66vq/nQ0AmrQeq0wh2XnkJcWVtO7roFBgdCZCQBTvFdZarFW0IIEhLNjt\nba9CyVINkaF+KBnjSIlRZnFm4K+qYzAQs3coG+IISiQi++uqyDouISR8b3VXVZPafg7BJLR0xkMg\nDLTGoMzcYQyqrn9tuRd9fYc6dgS05xq4VV2DXYSsovIERDUqCkle3ZJodpMg+lBPfT7XMTYLSd/Z\nLGJgwUTXoeQxM2tUsG5EGwd7PeQR7XkwBSKcjtkqJU8zDqcJORcobLfdqGsQ+yGYa84WQ1QjYkJN\nPiIvQUVE0DI7OrjDT//4j/H69Wu8+uabyoV7w+HON3fZ7wa82F/gYr/HPgqYMCGRIYY0JujoEhHi\nNf8npLnUxUiA2wBQIb92K37ghKLFCIoJnCr0WTAATU7w7IjCbQQjjVCKbd7t95JMwqchIWmyuhGS\nQWnAMCSvMCUWp3HlG5iWBHBCnrO/CkIqCWMaIEVBuaDcFYPPOQLGTH0gcUKafbHG7msKsxSK2x7E\nVIwadAWt8QJhGBQiDH5Zz0Bi01ljLAatxUV2df2qzXn1IoQFvouHiH4ScyVk6bwJ1rYpp0Votk10\n7b26g1gCqreiKlEEKUrq+2tvd9DGTJo6YmdVVUaNIfVKyBZSeAzFr5/0ofZGpkBEfx/AfwjgC1X9\n1/3YDwD8YwC/DeCPAPwNVf2GjE3+lwD+AwB3AP4TVf0/3jxixXyybdinObuUi735RgAK4ibJwk5g\nD9CMieantzcxkFVAujsecPDqNV98/rl5FVTMFsHki8oDjRhQEezT3jYZTcmKm5KANWE3JAw82Pkg\nj4xUZLINVhJNhk9cssffUFJj92gNoncRRxE5FZ/9d04MqX4xYwqBHAIRlKlU+4KSQpIYY/C6i5qB\nwgJOYh4HAZQVOloJeNJkzIVRqxRhMIJn8cK0uQVDLcqnS0MDEFg12uzfw5AQRgEChtwF7CDQoVZT\nSQG8CAxashI6qB+MgJrcZPL8DF1mYG55H/yS7jkaelgsx+6eQBCi120IoUvtXE+LaO/Tj4V218P4\nrbZgGmSfegZS7QyrLrbUh3vbO0YK/z2A/wrAP+yO/S6Af6Gqv0dEv+vf/y6AvwbgL/q/vwzgv/a/\nD7acC169ujG/Kg9Iww6JYhcdwpim6qsncn8+IjS5+arNkg8c7u7w6nDAzc01vvjsMyuTPk1IYsxA\nxNQDiFZmEnSpqrjc7bAfBpAIZM4olMApYdxd4nK3MwNVMVPafkjQYcDMCSgzihBmco2T3dnozIES\nuxRT6EAgMITUXY6ehelMgUZDD0punHQEoB6zISTgxNhd7qqcKVIgEGM4yRjngAElZ5zkiBcffYSL\ncY/5dEQZMpBsS/M0JvBEKLlgIMuhpMGQAWaxitcFoB2W4YluYKRstgZkQEdXL2ZnHgWVURBF3Qcy\nWwYMXFS7DxpBhp0h+GrNs4gy+h7CW9RMj3EOAdVoG4lGsT7U1Q6CMQ2RloAUUrrVmewMjqqNKXbM\noDIODSZnxkuzIzRD40KDaBAIsT1hjxB6A2Mtq9kMBUv1A7hHXfhu7Y1MQVX/NyL67dXh3wHwV/zz\nPwDwL2FM4XcA/EO1Gfzfiej7RPQbqvrzN9zDpNZAtprRnPPECcSzx/nbC7eQYrs2gn8YgEjBXDJe\nvXqF69ev8Pr1a3z7zddW/sx1TynZF5t6EFMyxqK2kawithZXkFi1XWIxr4JLtcTJ3J/OZCCApALs\nGCoJJNklkzZu1bsPiSzCiTwMle2QsCICz2hE6Cf29geA9s4w3PYiLBjS4JJEwML+SSDujWBmCJMR\n+A7gHWM/7qwGIBVwYuwv9tBBgQlIZAZVFobOnu3pYZGkxgQWlFuWOjXcW1zRQ7Q+bhmmTlSPRKdb\nRwxJDULq/wVSAMI0Vwm8D2SqmYpo/AtdP1UaU1M3fBl1ixJLuOCNmSvKkPp6GoSoqCGYB1VyRw/i\nw2jpIzlTC2KMoVp8Z9p/Qgdva1P49SB0Vf05Ef2aH/9NAH/SnfcTP3bGFIjoRwB+BACf7C/MYBY1\n7UlBZOnFFn+gNb0ZsD0OiBr8Y5hn4TRNuL27wcsvvsDtzQ1ubm+Q5+yown3MakTNaDsB28KAuUNJ\nMfIAgkl1iJhESQrNGSSCIbVU4x1bxB2rQkdCUgaLSUghRXJPggLgnbmfBAoe3D1HWNgdvPxSxDcj\nwpNoIPBA5kqDR6sxMOxNTbJQ5bashcTUowEgsq3ICxfIoNjxiDzZ1vOSFLS338dhxMgjypyRsm2E\nwwOQ9gyZi6l1EasAD46ijiBiCavD80SNsgtMvfDVTwlIJYgj3LE2EUFoimZjNRXA7mFqQmzv3uwT\nC1WDaKEaVBuTQQlHFA01dCciyPUs4MrfRt31qkMZ6kymOoRimjoG0QKgTFjUMPOOKVXU4msiFIlg\nJ0Lx41Pb469514bGrTtvajOq+mMAPwaA3/zeJ2puRjs1caCCYsxBgUgTtkXQsgOn4wGn0wlffP45\n7m5vcXd3i1evXgFiRrjdONQdeRNiU9fg5s2mwNC6gelu2BkS8DwKEvM0zHd3mAFcXb2AOFTPKhAU\nUCquEhBSJpBYjkEaCerpj2UQI+qIPlQPWXaPgjhTIDacraQ15oFHRhrdN0EMkWyh30P2wi0D8qlU\nL4LAmMKcXCQJYRpmUGLsLy+xu7rA4XDATBn0grGjvW1sOgswM5ICtB8whkpwnKHHUgOaSC18mgpB\ns9W41Nm9KUHNUFvFIfYntfiGUKcYGDPADqOFCElhJeMai6nl6xXGuAXAHKRI4d9pvEfhVZ+oqQPR\nJNgM9/sAACAASURBVLw+cq4+mNoQHNrWRUTU9rC+ZqNqXE/NnkEBotz75X31MD+cHMF0il+4YAh+\nngTCrYyjMS2bZrqHwlb09qeAFD4PtYCIfgPAF378JwB+qzvvLwD42Zs6I7ir0WejhSxbq9upB7f3\nl5FLwatXr3Bzc4MvvvgC82S7MleCTxFEFPcJXbH1XYUdwioOjGw2C/Wdl0Utc1Kyokwz5MJ2dBIS\n5JIrYYMVqgIlAQaAE4F3CTyyBSHRDHUJLtrwMzGBByvJro6OdLDFy4PZVmigmltNRBhoQC4ZWWbw\nsDO7ADHEg5YIVN2dMcdgQAc1dJAIyDAV6jKZd2IuOMls6tE8YFCGZEXKGUmKZ06h2RV6XGtJAPa5\nYuSY5O5vxfA+qgSkQl03TkzO3CJ+IYq0hKRkoOY2MLUh1TXlKuE6gCgMkFE3szKFTqWIFgxgUeug\n+7wIT34Q4+vC3VkDzOompP1kUUNdG0bQP432tkzhnwP4WwB+z//+s+743yGifwQzML56kz0BAEBw\nw6J9NVubzXLd8KT6mwkiBadpxuFwwOeffYbb2xvc3lwjaiACUq+xhCSq/UafrQSa1nUaTGdgC4IC\nWxh1EYtY1DkjE+E4Jdh+A4C6l4CZoFwgkoFBwYnMOLhPRtAJyL6fQx9/S8kYAiWr96BudKREKFpa\nnMIAaNLKRFJiaFHMxxmSBGlQswOQVHisAMBaN8wNdaJQwTAMvnedjXEYR0xazE5BCfurHaCMPBfw\nyVWifivqalvwBxFtTMJPW0T39J4IwOIaYOdyuCthUJrV80SYKg8y6Uv1FrzqPqY0jtdIRo3aEbHW\nlnC8E7zLBemD2/RO9IbHag9pBN/+qt+r3b+iAQ1bBHXGRFM5AWM41bjaoZ1+NIqNod/TnsJeHuOS\n/B9hRsVfIaKfAPh7MGbwT4jobwP4YwB/3U//fZg78g9hLsn/9DGDIIr9Ds3gGDVByHUqIsJpmpBL\nwTRNePn5F7i9vsbN7Q1uX1+7SuEwU31rNVklJiH6QvU0BDNgMpdkkmKW85IBtYzK3X7EyWMdSAry\nnHF9O4GHhOFiwEcffYRhHJA14zjNEBakvcUymA1AjJhJzcUoYkwmvA9hSmFF2iVbQonrmxG48TE5\nU2CFsmC42CMhYXp9QqYMSQpcEbg48TMjz7N9TsZEOBmTy5KR9mZXASn4kjHLjNt8i4IMkOKHP/w+\nptMEOhL4yGBNwASPpiQgMib7RARp9LEIYLIHMSNlYHxBcy1aFBJItG7E0pepM17idgAJD4MhPsvx\nojMC6Ws71GhR9zzFD1U2E9Vxm/TXahepDKCzI8Tfer+6DwUWzKbyQ+/THr1XSbj+Xm0GjvNLzxSw\nTdTBm991e4z34W/e89Nf3ThXAfxnbzOQiEGokYr+EkQEc55xc3uD4/GI29tb/OznP8V8OqHkbAYn\npspqmQkkUb69SZbGIJqaQmhVg8ItRiAgFzdyNmMjpGAYOaqkAixm6BsShl2yvSaL9Zd2lrLMiaBs\ndgQl17dRB2HoIDWVgYY2mIg1SIktroDMdmH7zltQEzGB93ZvoWI58x427TZT709rn8RmQUeK7wxN\niilPKDCkIOQxDdm5Z4IZLAe0Wgb1UdTmIwTjuqRSE5jLF5G632xDhvpT5TXa0EDYm6xwjZWis9+6\n2ITulsDyna+Ja2HTX1/o5zU9/lwzqGpFVU+CqJ0hBnCiLqIyUEH0530EvjXFSbve3txqzMg7VDWe\nR0QjNJimGeRKQRbbwen169f49ttv8fnnn1sGY8kuLWx2B6ALRJHGHKipBobIfemomvdBQzcP1UEx\nirkjp8Md0m4PSiOSCi4TQcBIVwPSLkEGk95pTxCecCoTsmZcfDS6cS+jUIa4HaCIVzZiizcYeURO\nM8CE4jYGTgwZjHkIiqkLrBguLJpyjrhlBjAQZG8qwPeuPray9ZJxOk4esQjLuYj8BYKpFTuGsoDT\nCNoxPvr4Iwwp4Tbf4TgfwCNwPBwxXg3gCwaKYj5N4D1hl0bgcDBbhEUZNZ14Z4FOdXNjRwEgQItW\nlyqK216KGQHUJSR5gAmzBTgxWtp1pGKHWzEcGrFcQC2Dck28QXjxOewIdphawFF3oSJOaURWkUZ3\nPzc42NrjtpenRoSTs6qzUm+uwhrTaSlNcVVvlqm/dnaNtfqwblsM7L5z72vPgimEV0FVQMrIs23P\nfXd3i59/9nPc3lgCUym2NFoNme7FYWnPWtu24pzGJIIZxPlUy6xZoVYBqJgq450MI1edXJmQWFA0\nI+oGjnurU2BGogIkYDb5CzAwjAnSJwSwEyubqzGKyYAZaUzmsmS16MbBEmSExI4NAAZYufodI0lC\nQUHJhkppMEQQRloAVu/BYx/SzuIThmHAdHdtNoySIUnAY4IyKmowu4ipQ1pQi+QanThDJoCEKkJb\nvFt3lfLAYSk0pgdtfkRnJpHbQN17joAgRYt0jHcLR/brRd+k82qlqK4OtNYzhIVxsWMIYduKfRwq\n86O4q1ZGsbhd9SIs1aIYLC2G1iGUlWr0JuLeYgiLgTyiPQumoDBpKqVgEsH19Wvc3d3h5uYan3/x\nBXL2LH0vhSaqHWO4v62lhsFQW3R1ByZtDMIcCI05BCIx4x1AbC98LpNF8A0KjrRjtvHxQEg8QERR\nWFDm7DEDDBqpJh9ZQJAhA0rOFGCMgZMFGRGrIwmH+gGW2ewLwmaviLiLC9oj54xcChSCYUxIw+AL\nXOskpIGrEXQYE8YyQGBl6Hhg7C5HFGTkklFQwEMyaTiyMzUgsisdiwAwbwelcPNSJB0AyQOFSkMA\nOtt4InTb+IsXrYGpkVvRhVF8hdXjPFw2xvsF2nU9TO+NdWektaCkzo6gqMVZerdEI2Zngp321Ai6\nRVeq71LeNsGNm9oItV6LTpVYNX+G5Uj9fo+g962Nb+5rz4MpqODll1/ieDrg22++xVdfvcQ8TZXj\nhmtIRFCKYJe4qqJLKNmmO6ag2Qo8JJrU4oK8ypPFJ1hZ9x2xqRUioGKmLd6zMy2BpGLSmGZwYmQV\njJxMGo/AodxBT4BcEAoLZinIg5nWUyLMPANq6sJwOZiEgYI8fBmeRamJkC7YDI7OFMarEfD4BkVB\nnmbMNANJkfYXls15ZYbKXDKm04RxGG2cOaPkYmoMABkFtCeUlDHNJ2TOmGgC7Qg/+PRTXF5e4ttv\nXuFUTrC6MbZFOkZFUamqA7mPkAYCZp9xz402w57HM2SGZosbkQiwSmb/YXiym6sURBbUZJuo9/UV\nFBnASOpmi0YJ4dggf9dQL1cPGOoialGNFFYI6YgpVAJ47EJEWHFFPbJJkKiMIfabIHZPlO8mjoog\n7K9U2qz+tUrcTX3Qqj40xqJntN+rG/Fs9bfvYGN4FkyhlIKff/4Zbm9vcbi7w+l0tMnwoii5iHso\nuNYZrBuBdjoj0FQHwjlzCKkWZdqILDoykWVbJmJQbqoDOCENjKK2iBQutR3WKwl4JAy7ZP5/KIoW\nFAGELaoQrDUYSTwfghNh2LEnzSTwkCAQlOTZnYnAo3k3VIsxlX2quRCCBGHbxj5TqR4OhRHDbr8z\nFSE5w5ph3gv3GGQU0Gjo5JRPOE0ns4lc7XD1vSsMZBmcnCzfQgpjLsXgv++sVTkxoQYRkKKJcsDR\nAnlkYxANgIGs/JsmqyM5uz2iADQ4gpOWy9C7GaNcfYZW++a8QQCROKfudYAPkwOpNbV/Bd9jR69W\ntKrGQHTGa79JPKgTp6XgJ06YSqnrT4PwKTBNXNWjBGrh0uiYTj23v19/fJlFeTa0ew/c354FU5jn\nGV+9fImTb7nG3CkHBAxp9UDrgJT6j0O58+NWnThFenXJGFLCnqgWPx0oCrL4TlEDg0uBaEYhoyfz\nNBCEBTwkJErVrxkvKzFjSskYAnxLOgY4mUQlLl6FFVAuKMzg0aRkBD9ZqLc9Ag9mmxjSyaSRZOxe\nfIxhf4mcTTelaYLkGWWcsZcRY9ohF4VkxsVugKKAdwodGFQSjq9N1Uh7ho6GdK4Pd57DQfjhDz/B\nAOB0ugWP2WwQs1e3utjhW0TBWyCz1ICdKK/Wc2QVwbgbLeDrZEnPPFjQFRV/RxmIxKiaaOQv0yRj\nWcRJmeeSLZ/Kpa4QjIkD7oa2orW5zF6NKkG1VBWgBjypQODeFyUUNTdgQTLiJbPNtAxMu36JGIyb\nWMi8zUGJdHUwShgx26kV7levg68/gTGsInZODeNYuUTXLsg692joYLNk/S+bTWGaJhx8H8StwfeP\nuHYx3Xdyjxgi1jwxYxwG3wpOFu5IVvWdoXxbd5f0WbMZ2Igwa0YiAe3cYDhYgdOTToAAeSxQVmQu\nQCILS96x2w7EbApsOQx8Qa7fu4Rw96JFOypop440xGoO0Igpj1C6wG53hV/54Q8xTxNef/s1yiy4\nmYGPri4wDDsMAwOsEM1ISZCSIpNgv8tIaYfXt98gpZ3vMXiB/Tji+9/7HsYh4/r6K9ydbkGjukfB\nalrIqUDHmHcGFc9UcMq0cRe31zD2+x2QFSmCroqjpckYhM7uplU1Ee6uzNgt2u2rprq5GqForkp2\n3TwKyYaKGf8bPOOUmMGqi30sq50B58IliBTQKjiW0D0kuq9CDSwA9NJ4YRzsAuVQ7QoNcYgqJLwx\n5L2t6Fq6fvu2RQdbxx6PE54JUwACvt1D6t0TRWbdfadZSFDHnhHx8YrEtlgSseUGoDGF+Jxguq46\nIc86I6lFJSpZ2XGQ5ywQoAkoboiMBKfiUX6xBbyLKSuoMlBUiTH//tBccOz5DqrmAbBM69EKqtIO\nUhIymUfh6vISY3qBfBIcjwcrKUc7MF+AOCHLCUUKko6WyZkUiU6AEER3mGbCfscYxyt8/5NPcHmx\nx93NS5wOBUUFF6N5ChSohlB16A9FLfYSdhEIwGOycnhISMQobmCT2eJGtDgTiOImzqyrftC9aHZC\nDE9RCIOIcISGG7LZkZrr2VQGCvXBRDOggRTC9KCIoPA4JThHr5qG/SoEPwVjqD/YUe2ukSq1l2u0\nqgsxLKAGKQl65vPmwKS1ivGmcx/bngVTqNPqexlun2GNsP2Aju4qQzCkYMFEg5e/sarMyTZoIVoU\n9EiAb/xq8fiWq6A4SbGt15RQBgWGYi+PbH+JIYnp6GrwX6DgMZmBzmMPKPngRkASbCGl4q5BU0WU\nFbw3NyCJIO0uQDSCMAIYMIyXEFyAeIchXeJi/wkSMy7GT3B3d4vD4YDdbof9xSV24x6ggmm+w/H4\nLaDJy9SPmE4Trq5+FVDgdBpwud8j5wuUvMN82oH0Chcjg/kEQEADY86Ck06gPSMpocwFJAwvDWTz\nnhgDknkYBPj/uXt/H1u2Jc/rE7FW5t5V59z3q1vNDMyMcMAADCzs+QOQEB44GCAGA4SDBQ5Io/H4\n4SAhDQIhDECYCCEhYeGAECYgDMQg0fT0dPf7ce85VbV35loRGBFrZVadc98793U3Ok0+nVd1d+2d\ne+/MFbEivvGNb9xvG93asbJHhDTUo4RYfXsakPoh0IJD8YB1GOKscZcl7+spaj7atgFN0EdE8Ewb\nhyPqGEPns0zn4HNcQAB7enStzvc8jaKbKYTPpTnJZwMQHNWP6VQOxzV5Chm9QDSAmSd4O0qc37PO\nf4hx/7bHV+EUhANU+k3Hl1wUPf8ux/3Vmf+ecAg/KfmMz5DbjmcOYmqYSSLiIYziGTF0jcYsSOSa\nAYoKg0kYIYggNZdH8VlWpKYClIKusSjFFZFwBlquiKws63uMB4quaLmi5QFV5eHxQq0PrOsNLYV1\nvXC5XFHp3O8r2/0lvrArVZWuIGXNa6CYLXz47jmT54rqilvHUxPC1NmtsflOF0vWZBj2yL3xaEen\nRYXIzNgt8BuHYGp2QRdBWnx/L2GFM+I6bsjpPma0IBkBpgJzGOjr9XJUoOLHeUZE7MixLZtHk9R0\nCCfa9NBBOKuDn+Ujxi9jY5rlUBmA3ygphuzLkSCMRqtTKjJSlPw+s3VkYAlv1vTn1v33RRI/JFX4\n3PFVOAXIi/yG+HIcR3ww/uoDIGQY/KcYrGZIaG7UbAq6Xi707R7nOkUL5zQiZ6dNYx6NTyM18NQ8\n8CLc2/ZKJk1KhOo+BFPybyahwyBFaL1RrvWQYRtkpCEsQ+FyeU/RFbgi5YLqA1UfqcsDpV7SacC2\nb/ReuVy/QVS5XB54uD6g2rlcH3h6/i4o2IAVw1S5dUvhWWPrG22/c79tvHsoiCw4nVKMZrF1b/aR\nW7uDRmlWFkVMsBZAwHpZwYW2tSwjw3pZ8eZTIgMcb6ApQ9ex2RYcNPXjGg4qeVQ/fZAHE9BLKnne\n7SHx3kcsjqTOwwEqnnEqT+ah5QDi885OriOUWQIf5cmxWfjhCubS7BlhImexlKMRyuUUYWhwMdyd\n3o+EQTKaPaEVnz3Oj/8Q4/8hJcqvximM47OOYd6RIyx7VRp6fQZgpvGp8izgxuPlgfePD3x3vwUQ\nlTdzrEPFw4iHanIV5JKpRHH60g8DVokyYHFkjUpC153ZY1AFFomhK0rgEGuE0IsoVAsHciFpsivr\n+g0qC6or77/5GaoXdn+kmdKtovUdLisuF24N7i/PbLed7779Bbf7jffvv+FnP4Wf/fQdv/s7P2JZ\nhJenJz5++ECRysOPK0/6guxPvLRbgnuKcmG7G/f7jaJGrcrjwwNlLdRFeGkdLzdsbbO7sUjlIisY\n2PMejmcFaRn7thhTNxA+T+dQXZBOCMsujrS4Vr57CNNghwSdgLe4540oQy7p/IeKM/l7tE/4saNP\nvIBJp45I4ehAtLPD8VhXln0VoQBucwr3q4gDmWsQyY0gcQbLvpuRxsTn6zRzQKOyNsKaojkd3Rni\nsGen8MoKPiFg/cDjL1pJ8m3+dARdb47BTfgNXk/mz1hYkqGcqkT1QUhEX2bKIMTNHSPaRuqACFJ8\n5o3DIVDD60uV2f7cK+gi6KqhhyAd02AmugDVkepI1YgiKogUhAXRhaJXSrlQ64VSLsCKc6HUhSIX\nuq/ct/i8Dw8rWkGrszXl6aXj3IEnzC68e3yg6IXL5RvaBrihfmFfnAuN/b7n2L1C0VBZ3fbc6Yti\nErL6gYesmOvwsBSpLLUiPSTiXR0hAFypGhWERg6TOYzSm8cIOpKz4eDmKCV3yoMQlWBPOEw7HP3b\nLsX4qXN9jKUx8H0fK2pEK+N/GUCMXV8ytQwnka/KVGHgCU7k/aS9B5X5FA24zArIq67xxAtIEFls\n6EvG5+scxv6JMxjf69eu+D/b46twCn+Wx5lTcz4CIY9wsGiItg4Zr4knpMKza9Ka5XCwAZCFYXhN\nEKmkDmLJjshFokNyLZi2QN/15DwqyEKoKIXYI/iagOKKyorqBdWVfYe27+jjBSkr7he6FfbWMBOu\nDyvr9UrvgF4Q2WhN+fi0Yf0DP3r/iJtzWd5hD0rfN/quFG1c6sa9rJgZojUcn8HWt+QCCJ2SBCPB\nrGBe0LJSSnANVlZsa+COXtbYqVv0RtAdayPQPkA095Cte+X1laOduRMVCnPk1FQl8Go+AxD9KeO+\npZiO+mic8mnMw0tI/r+fooVpaHKkA7lP5P0/6NOWiKLI2MRkvPD4TJJfSDw3rsOBxeyIFI8ZUYGd\nHVs6Fw7HcGAP5wT6OF6xeV+t9T/d8dU4hV/3RT5Rv8ncbdSxDwfwOiMbUUWQmITb7cbt+ZnLurD1\nPc4r0QcRe2Wf0miaHINyiTZlL4athlchCwKhuHypwT+oQr1mf8Ml2rlFC7YYWmFZK/UxSpt1raw8\n4l5orYIoyoL1K7AirNTyDkV5vi9crg8gV5bLj9AqdCuUZWVZlD/5kyd2e+Dy+MClluRgCH/3Dz7w\nq1++8Jd/7xGh4hakq3WpaHXaJtMpuFaaBXGn2R2XFsQbE3R3nCulvOP6+A21CkjDbxugqJQgenUL\nQ87dsibwKEb0cXRBN4V7w5shdwkS0x60axr47nTt+D07RbOr8tLiHqkHnRgPRe+x1TcO2X+TiAL6\nSCPl4DiE8z9Wy9RRyDLmeN4kGL1doGPjyHUzDbZM4jTebY6sG12ZUW2VuQkdE7fHZz0ioFdl0O/h\nPZwf+xzY+P8boHF6VThrVvD2K052V/781JkEQj1TiOSvu8U+c7/t/PTdOyg73bJKLUIzyzD60IhU\nAVkTOJRICaI7MX5KFXTxQNUX0EvoGfSSEUIZEUKBmpJrtVB1xeUR60IXwV1x16gylAuUB+rlJyzX\nK+2l0F4cUef6oxV0oVmJSsJ95/nbG6WvXNaF9+8WemsxxMWV21Pnu18Zl0uJ76QdSqfvD4haCEpL\n8DoWhc7C3TruyuoXqhqtP/NweU9/Dy4b3XZw2O0pQmExpMBaL9S1oq6o65R992b0F4PdEmZPaes9\n7q0iMTAmb1rpLeaItiBDiY8dXHIc3agWZO4PLO5jHgv7bAY49STkkB8n5fHdZpu35N8G+n+MtPM5\nQ3LIwzmea1NP6ytCB5NctwzAUNKBjdKoBAtzlELNT+nLCbh88/swisGLeN2BekRTr23ksKff5vhq\nnMJkbPmBA4S3fMM954SkzkJ15qMJSI7yUsA/MjQ8kkBjXNcLfn9i79AtmnJ2MXzoLELms36cqDiS\npcTRtiw11I51ibSgpAiL1eTIpxbiwB1EFWHBbaEZtG4ZKQgihVofWJYHan2gLt9QygPvqNw3o3Xh\nfuuhytyF/bbTtjtY5d3DT/jm3QPf/Gjl9vzC/baBd/reeH42rCvrKpTSczbEimpHk8ClYhSUtRrm\ngtlOkUu2hm88PK4YyofnX7DtjpvRe4uekaVwXSLtkS4h2WbgbvSt4ymSY93wzUO9afdwGiZoi3/S\nxiKIaz5p3w5OzPbEx70Pw8vbzdkuSkaRUU7UxJLKUYWQNo3QM0IYic6kVE8D95TTZ+JZx5udItf8\nPAO4hHQy47VZu3UGj4HpsMYxbf28IZ7t+tfa+GeS5TfP/wE449fjFMbxStBiPJY/zyKc59zrnPvN\n6qDIKCRQid4E7Ubfd2opfPP+HfeXG9vtns0sGoSiVBiiDKO2cAjqaKYNusqRMlwySlgCZPQaZTcU\nvAp6VepaWZaK+iO9FboVuivdmI5gXR54vP4u6/oOlZUqP2bRd6w/+gansjfhVx9uWC9glX27I6z8\ntb/2O7x7uHK9Vnq/sS5PfOAjv/zln9B353bfuF6cd+9Wrpcr5kqhxvSrgc9b1AqvjxdKe2Dr9xR7\ncUotvP/mkXp55u/9/Oe4KVpWfvzjv8RlAdXG9uFG2xrb7U67N/rWsa3nDDjDbhZVhJujLVOJJgE8\n3g02wjF0Qff4Gz0YkEFhlKQ26zRWN5vdkSGiG+rNzWyml0jcd/PEk3JOR8yaiBTDzKadC9F05xk9\nDS8xXAdoDBESmV2RwJyebR5r1EWIFv9YlKN/Ao60Yny+ccz45oxznY4j/nl9jFTlN9nQD4kcvgqn\n4Lw28nlR8ouNCzgvJp9enNPTEZnzV+bUJ8kOS9yx1ni8rGAd23aad4pCzxBWcsJSNDwNpdGMYJTQ\nVyyB/GvxCSL6yFvUp3Mpa6GUZeb1mGa6ALUsXC/vWZcHSr1S9DIjib4X3LKjs1Qu65Wf/vjHtB7A\nX+97SMRbY29Of9qBTreK6BXhEjtTbwEUWjRrCQvuOexGNBe0oFS0GFUqXpS93yNIqgX3iugleBMl\nUhFotNYx69zuz7QN9m3H9o5HVxieuovkdXvFV86uSh+cEGWCkZajkdwMXDPykxk+T8JZZpJDmHaS\nzzK1HGvpLLQ61JwH3hTP1Wn4AyqIioQGn+JVl7VkZBeRAHICCsf6QzK1iihi1kDOMu6fXb+f63c8\nbGTawutXfZo+fPY9vjxU+CqcwttjOIT58wQ0zjwK5s2fxwj5iIUWNzbUmQvR6OS9c7/d+NG7R755\n98ilFj6+PNHFeLFbpg2FMfKt1jIjBLlIcBKu4RRkEcolwcVFIgURUig1wUpdwJSWO6OgqFYeHq4s\n9cr1+p5SouJAV7at023jxZ9o7QaXO6VeKOUBKY9p1Au32xOt7Tw/fcD6jhNkpHWpuZtFTdxTYNFM\nuN8bSxWqOEtdQCOF6W7IUsFbgKKsfPeLX7LIhZ/95KeY3FFV3r9/j/uO2ca2PYNvmG3Zyl5yPme2\njWMTxBspn7vFrt8E6UGAiv4QDoFXD1WnOV2acBa9x4yNMYC2Zx7vmT8M4G+sGQVs4AUZPYTRHWVK\nEZ1g9VxCp3XmuZZKidB/lCEDnJZMXSSwqYFfnKKDnobYs+dCTpHCq/V+Ahd/KBLwebIfn7zHDzm+\nGqfw9oIIR7pwjiRGePZaNHNcHJ84g6QHHWlFdKiFSPjL8xPtx1ceLit931mXha3fqSXacUXOAM7r\nvG+oRpMy8aqaHzYWGeJJcQ6qs2Tt3KzhpjGwNT8LbvS2gyteFDxy797DiVivNDdUd2DD7BmRBbyy\ntzutbfS2pQN0ttYx28PgxRENOTnVnIadfRcqoftAHwDbTjPoNKx3Wr9h3KnLSlmj9fx+30F28A3Y\nENlw3xEa3oUqJUqOqrhq6D14j92/W6YCYS0y4v6wnFezJGYiaJA90niPeK2l4UVGIdgYn0eG8HOb\nPxzKeJuzitOxJs4R6XAVHICin7CudHABbZzwhMmXiP8OENEyAMl38GN//1IhlPMUqt/0nPMxyH9/\n4dMHePORz14fZqRwFlQZ4eK5pfQgrpzDrehxn3MeRLjf79xuNx4vFwRYauT4ixZayAYxssghyDEJ\n1ado5CzYeW7kUtHZdKHKq7+JBLfBPTQbtv1GMVhcELnmTqK0do9QuivWo5ZvfUOkEjRIgxRgERoh\n+RU9Gr07og0xIjKowrII6xqySEVDSanZTjPjtm+U9YIl2rf1G0tV3n/zjuvDBRWnNWFdhN6hNwsp\n+JiNF/MmRkdRJ6oPRFjvZuEcsisgJColSpf5fDefzkFM4p8f+bXLYXzDIcx7JHGPh2Nw1bl+K6UB\njAAAIABJREFUzhTnCSSeQvxh3ipHJ4X4wXQcNYax+79dr31MmBI9qmKSk6ck3+UEZp7Tg++n9H//\n7v+bjj8rReevxin8uuOz4da42aebPsgy5w1+DkGJ/wICmPqDP/xjVArfXFdsNy51iaVlzt496W1H\n6UlTbjo2+CAyuUFrSVNVo4lnCTQcSOg5Nrwr5oJmP0RIsMeiNO+oN5ydWjsihWIxbCak21v2LjQe\nLt/E5/AwtN13RBpakhikS+6EHbedcnGua+F6qVyvlaVK5LV9Y7vf+Hh74eW+sfWGPwN0Hh8vIDt/\n3+/9hJ/83o/Ra+UXf/KHfPfhj+ntA8JO0Y1VBGOJfhBietSYUu3d6TeLKoM5xQpiZd4nzIPWnFGD\ndEW6QwNpPjjN01GMwdUjXTAR+nQIOSPhePp0JubObkaz0KRwySE6HCxFAfrZCEPBJlbSKdJ7WzIM\npxD8DC9LRLWaQKiFSG43suxNronXqcOvM/63z3vL1Xn7vM9HB7/d8dU4BT/91DeP6en3SThKwEnd\nT52OftSKJ2B0nG82TRlsm/H0/MKPrtcDeRbJm9dJsJix2fTBsquv+y58AGJJiUYPRNjN2bcGXpLU\ncxl4NaVcKCVyfUmAUkvwI0oBt4KZ0i1TGkq2gAdtS5Nv730E0I6IB1PS45yqQl2gVAfpaKkxbOey\ncNsLvjm7bey9U+oak6o0ruPlslJqqEI12/jw9Cs+fvwlRTvYjmzhNOnCfmtoA9sMb1Fp6PeO7UlA\n2gU1odoy261nytAJvcwB2lm8xg0krXyAdedJT9MhxKJ4jQswooIjlRhVhQlU5w6ukDMnLcqmA8wc\nzzmlsHFuf/1G09BHasHUShichPPTB77yJccnVbg/I6P/TcdX4xS+6DhdFEnHgA9KKQf3XIYDGIYu\n0/AjiggDenl+QX/nZ6G+TNCfi1jk3PMmR+FuDqJ1GVBm3HDLqIJYMGbZn5+LZZdGEUdlSeM/ugPD\n7wRZyLxh3hCtAYCtheKKWcU7uBekNwZsv6xKrSvtZWPbb7TWuV6/AUL2bNGKqnO5xMCaUpxawlGU\nZWF9vLLcb8iLsFujN8P3HZWdx2vheimIxPyN7f6R++1jyLSRQ2/2lFU1pW8WmcRu0PL775bDZ1Nk\nxYhmqV1g95k+zHSBkUbkPe4HuadnKO6ejEWy5s+RDoz14acoYZQKJZ3BGZuKfSMqL0liYbZQTeAv\nYwkZd5w5q+HsXMYmcE5DPJupIr0YqcmX7+yfiww+YfbOFOTP1ll8hU7h1V0+/MAJExjGLcgU3Jie\nPbtVZvssZPhHlBMzblyWleeXDUe4XC9ocE1z4fWUV4869jHrUDGDl21HOlF7d1KJWEBaIOWk9BrC\nelVKqRRZKFIQMZyd+3ZD1VjXd9Slsl4WrDeQO7Uql+sViHkOZgW3ivpCKVewwn1/obc7sLPUaPRa\nr6DqKD1TEWddlVoMVUM0aNzN4Xd/76f85Hfe85e3v8R9v/P8cufv/J//O+add9/8jOtDwXjh/vwd\nv/z5/4PywkUK+73jDV4+vECqLGkroQGxxw4/OAeWzoI9IprteaeYIl1ZrCA9ogHfs1mqgZrM8mOz\nmN3Z3OMnw0nLawPXiPA025K7OZv1iTP0xB26ezQjydBCjMcHgOmJRPppyU2gmFgfPRdUOKRcbwk+\nNuuxyBz2wVM4xRmD9jyMe4jQfhZfOMKKDEg8o5ajfjKqaz4jlrOp/PaO4qtxChPomd5WZvg2pj/H\n88JbO4H6K3LMbpgo8ni9hmAIR7g5qgObddZFue8b31wfcTX2vqOmqDol5dTpQVnuKhSWSCV67ikj\nmk+UfM00YtFoklrWwnIpiKSAnLVMawbX0uYOud+j0UnEkGulFsO9RUqQytHuQvPobmwe85k1J7+I\nOnVRzHa6dR4vJQOYFqFsb1BquFOFskBZF9aHFZcHeu88v/wOeOPdNxd2f6G/3Ng+/IL96ef0dISL\nLLg4m90ZBfx+ayAF7Tqjg1BNivvQe4cdvKVh9IgmtOsxb3KkExk5uEBXDUdgo4HpaBwSTvMYNFKA\ngQ1E2qAMhaxBHBJCoBUJx9Ez8dotnELDQQuqoc50hP9DmyFYkiNdiHmPNkHF8RpgRrGjj2IYafiU\n107gk98z8jivZhBGLvKpub8tc54Tnh9+fMmA2f8Y+CeBP3L3fywf+7eAfxH443zav+Hu/03+7V8H\n/gXiNv+r7v7ffskHGV7z7TFLLHHyGRVkaJCL3Ka3fPPq02tffSeWUmn3O7/81bfBV1guWEm9AN1p\nEjtu0x433qDvLX4SBgrR76DpBNYlOAv1qtRrZX1YWN/VcHSmbJtkc1/BXGjd2J+fEdmjeaqH8tHe\njN4LokuoEVNxLylqUoENaGhpXK+hPalF2NoH9vsLoobIA906bb/z+PiIiNExlmVFFmVdCWMihs+Y\nF/7KX/1dtu0J7xt/9Ed/j9vLd3z8+HO2pxsYtOcWBu/woA/s+07fGsULthm2RcogLmjXiAC6U3o5\nxsft4RTCCWS6sDPBRd9DxLS50EWnsYb0gzLKgsHDCNKS6WE6e+tsrWc7smAZMUbPwxHKN7MJUDY3\nXJKtqGWCUTHsRg7nz8CXUmchgchzShHRgIyFFqntCPHPFbRZiTibuM+xcxO7eGvrv+XxQ176JZHC\nfwL8+8B/+ubxf8/d/+1XbyzyjwD/DPCPAn8/8N+JyD/s7p0fcJxrtL8RXBEmsjPDPJWJSi9yhFtj\nt0BihzWE+z1G1D1ertRS6d2oOrYvwURTYdei1KTnDri4sZqj4ZelIItSqgaRR6KLcOxTvXd6ipS0\nttFNok1YHQ3VVpw+Z0/mt0qn5hOQdId2v9P7DUaq4oV1jfeF5CZ4RxcoS0ZNhIAJQqhLS3yHve30\n3nBvmO1s20e++/Bzbi/fsr28ID10GcPIDWvGRdeIUMShZVmy2SxNSpOjbJBpQQin2sQSMDlUnDNt\nEPd0vBmJMTZamTJqBnOydjwWupmW99olghgTf/36vA+euf1onx4VKiQ4FsfxClY8HvXRv5ALMJ3N\neHzG8W9McTRPnU7/Cq/w0//Px+QzzuHP+fiSqdP/vYj8g194vn8K+C/c/Q78HRH5P4B/Avgffu17\nkLX8N0jvDJ+Gc8iLbQzgyDn0vvz1LRzFZRkX+PibZK4mIrS98fHpieu7lXKpVImZDHGvLWY8DOyL\nPh1CLH7BrIcUugl4hOeaDsFdMtUw2m7c7iPPLPQWwJlqTbpt8h70qL2cwHNGl45oz/yygVikOouy\nLM71suD+iHljWZxmTmvGGEDjbikLVzDLDiQR9nZn2+8gQUra2wsfP/6Kdr/Bnp2KHYLh5PQths9I\nYgrWeoT8JrDHtbFmB/WwE5SKrDS84ikYGV3Mu8PgfTTPCGGG8oc6kZScxARYz5KkDd6KRNrAqZmO\n10Y5x7NlOueiM4oYHYln3GL+G3gCPu/J+fFjPR/vO4OFsag5jP6UH7x+/HUAEevx/yPP8KfBFP4V\nEfnngP8Z+Nfc/ZfAPwD8j6fn/H4+9huPCcKcPPVwCJ450ySzMBDoEFGVXETK6erPi3jK5YgbXhC2\nbaeK0nrnj/74T7i+u/KTb94HD0GMIj1Un1EaBTxnQkqWDEt4cWs7+9YwCi6F0gpV6zHn8VYwtxgS\nYzVLkcpyWVBdWJZ3aFkoWinlEZEayktLpWhluUSc33vIepHYyeWxZny7o9ooRRA6vd/p3ihLBTGM\nRvNbaDtqSdHYjQ9PH6MTcSl0C3akyI37/Vd89+0fwtZZTdn3HXveKCZYqimtVrh9vFGIGZZ+c7x1\nPASgwwlsluQCItvpAhsUSnZHaljOzpRiky60ZuwOd7PIMBRcYgRcs1CyQoW6LFCCYmymcY09HGEX\nYm0wHInjGlhVPEZGHuEQJCNLMwuwEGbpe2z88zwwow4jejzO0uyWi228Jk6muSQH2/BY86e9jldt\n0LmPSTq4uYjf2s143TzfnyLHyOO3dQr/AfA38zP9TeDfAf55Pp+6fNa9icjfAP4GwMqJTup+XJeB\nBJ++7OH9k+/+6uwHc0yz32G4kCkJlqHjUmtULlIe7Oe//CU/+r33LMtK932yFRs9dmuP4ao6BruK\nhYBrjmtzM1pzunT2lz27KZV2b0F08uiIjCnQ0ZdQavQo4E4pS8yDXBZKWVnXK3iJENg6e3c8G4JF\nOiqOaCWa9hx8xz0qDt6DZ1GXipSFUiMtcWDbQjTRfA/Z+rbRbQPb2fcPbLeP2H3H9mhuYncKBes2\nCUXeojRrPdKF4oXWMi3ISox1C4cxeBx9RFaesyGG87cEayPCmLv9NOKD8ezp6EWUZm0qbKMCFrJ3\nY4v2FFsxj28u6QgGy3JwXUyO9zjv7LM0OUqOY4VpkpDGJG0NMtksUfow1JMxyIEhyMkixu+iR4Qw\n5OM9q2SfjRxerfjDMXyOQv1WvOVLjt/KKbj735sfSuQ/BP7r/M/fB/7q6al/BfiD7znH3wb+NsA7\nkc86jjz/kaLFI8zsa9QaT450OA0jSYkcFOmgzuZFyiK4u9Ob8/Jy49vvPrI8VOQSsu2b39lwvMbI\nOCkyYxRRCRXn4liJ6sBZRXicu2idTkEGwSkdlZmzLFGy1CKsl4W6rKhWNJWTWw8Owb4byJo6gil3\nrlBrxX2PlmbNOnriIRGzhxAK9FzcIX3mfcfcUqR0p/dnPnz7C14+PrG/3GFr0AJD8D1ISVgYg6dj\nOAhIgrim8cfbq+tBY05nIgkujvRr4gruWcHxUcjBUxwnTDDrh4kHuZ6uIREVeNKLLcuGYw0cORgz\nSoirI/PnrFkfSwnG60cF4bQeY+pURi5v9jyfa3OkDWdjfJ3GzvONaHY40PG5v+D4TQnFbxM5/FZO\nQUT+srv/3fzPfxr4X/L3/wr4z0Tk3yWAxn8I+J++8Jyf/Jxf6FVyTQhfpPeOkWKxOAqnm3wiMklq\n62mOEFMzxGNIbVkWFGHfjD/8w1+EyvLSIHUU7EGRpURH5HsN1l+RaK1WgrZcHRaBS6QVvQb4p2vJ\n1mDJPu4UQnVYLoXr5ZHHx3eIRtlS1Wh9o91vdHvCmuLygJSKysLlUjBXrEdZ1a3x4cMz0MIhLEGb\ndglqb9tuIR5rFd/AaaEvsO04DdHoGrjdPvD04SN/9H//AcUlhuLc9kildsfuFi3RNwvDbsCd7FsI\noxcDu4XFiQ9NhHiu7GHpvnnwGTycikdtFbZworuHtFoXaFlW9OkzDCkxqZucXzFgoyBBBgaxZWUg\nIguFoqhAd4sypIcZ20wNBiZwOA1IvsoQW4UpyCIlBuK4CLLb2Z8c5xu7E2/W9Fif58OPvhmB2aMz\npOgnJ8G/37i/hCH5yfv+muNLSpL/OfDXgd8Vkd8H/k3gr4vIP0589f8L+Jfyw/2vIvJfAv8bsXT+\n5S+tPJy/1plG/PY5cYNGiHdcaAF4G3AIc3TbOZwzxlh6nXmL46EP0DtLGc08nd4dtEfHoxFZ9DxZ\nSMSXEtOpfQ1hFnTPz5ily+yjV3VKrYgU3r97ZL1cMGtYa7gXVDpmSmtGrQ8h37akzJNDazutW1Cg\nXbB+53Z7CTHVmjFSWqiLYb7HLEdrqfLT8KJo6TS7pRbDnW9/+S23pxf6faNoCeC0O30QtFowFYfg\niTi5y3NUEFJJaZQkpcuJe8DEF0ZvgDU7SpR2PK3jOeXbswIx1sJxH13f4EYqBCtCKEOToQ/+wCkt\nOOEJIlkR9VN08smzY7Gd7XGIsM5nymtQcS5SUueBiFZPS/KTNX2uVgQde6TR50bv32z4b49X/Icf\n8PIvqT78s595+D/6Nc//W8Df+vKPcByfI3TM9EHe+DrJx0aulnZ6RqgdAVXG+Liw4378VaC1llOP\nAsyTWjJPjDC7aNTBBzGq9+gMLNn4VDSBIzdKqcgSMyA8Jdwt5Z9c4PH9Ox4f31NrqDV/fPqOboWl\nBpgoGqlDXSvv3j2gurA1536/8/x0Ay5c1iuI8+G7J9z37Fxs7PudvT3RerAcL5foxLxchH3f2fYN\n941ShIcFXp6f2O8Bkj599xFFeFdXuPcYFJMEJNlBtvA1uicl2RRGJNBBmmDNKL0iroE3DGfSQe7h\nZGSLZrQQhI1z0fNUGdbvcrRGjzb53aNtWhzqdaXj7NYjtXJnd529DlJKNGeJvaoiWFYyxmIJ5xPR\ng6lOTGAChXLK7zn6XaJ0S6QqY52e8veBW5VSYIq/TOP4ZM2PqeP4G8PPTOPsGD5rM/BJqvG5yOHP\nHVP48zgi7J8pN2G0SWku5Sj5ZMw404sUxfTecYQydpE834go/PQ+IgUT2MwoCkKMWEe21EIoc9AL\ndDRPYD2Rai9goDW4DkKMlL96AxdUaua+JeZLaGF9uPDuxz8FKeym2O1bxOBaH8FjqKvqhSLKsl64\nXN6xbY22bcF27A2AbRNgp7dnusWchlpAaDx9/IAWo1T4+PLMw8PC8/3G7eWG9w1lY7POszq+G7Y3\nemtUWsijb04l1KH2zdJ/6owGhFP67TbXuCAzLcCiREj3YDCOCCGjCnMJhqIJ2gf+GMYfT03URgqq\nNQ0v8BOXyOMpBZc6uSjzNe5gHXED65gRa6cUjIKWkj0mSQ7UghSNCkZWJnb3XFNh+OMbDmbj6Gdo\nDu6agGBOCkcmHjQG28oIZM7n8SM99uNPwDHf8qzdfk6lh5NwSyk5lZlyQFRQhvDx2Q38kLbqr8Yp\njJBspAIjNXjbMckZkT7lEKNLEj4N0eC1Rx+F4/m/6WB4dfHDr8gnF9c8ga8RShO5Z0/wzM1jmIwZ\nUiuXy8rDQ3RjjhRArAOFmV154fqwstQrWir3+zP3e8MMSnHWpYTsWr8DNbAD3wEPFN42er8l7VZB\nd+73HZEbZkEZdNvpe1QfPJuWvMVwkiIa5cI0Wh+pAoHDuEl2Lg4sgDR8p+8SBKXEDiZpafQy5/No\njlsaUnRbR1RgTF2EnqVCTpWB2Ck0J23JzLdNBNNcE2OSdQqbhGOJxeDn3fy0drKYnQItTC7EGfg7\nr82gmUdKGIY54ojx9/ioY+0yz8Ppv5gOYP79TYTwlrg01unc3n6TfctIq48HPp+Qf/74apzC+MwD\nXJmttDpIPOMyx/Zv5lOsU9EJIh7NsYFNu8VO0giJcLE4v2Y0Mspc7oGY4xI7ncTuNnQUYBCWCO5+\nC+a8Ns3ZCXDfekyf0sxSuvDN+weul5Wq8N0v/4htC0O/ljXAxbJwuVxY1we0QOt39pdnWlNKjclM\nvXX21mktROXMBOsvlOIUhX2/s23PLDVwBKyDNJ4+fsT9jmCh3LxFnC5S8D3wE7pRUWqplKZIB0sg\nUQmlqLY7vjvaZQ57kSw79r3TbzGF2vfoQ8EEaXGeaHgSfAe/x57u/XAEHdizbDhIIJ5cBMcxzQao\nzA+jFyJmYqosVJGcGr2naGs6D5UMzTO1yBRhUJuHA5jCT+4TrMwiUhirn8RU/FQOPxl1zyhVRKi5\nwaiM+ecJPI4N6xzGT/7Ba/rzGc+Ix5h8hrfnkuM/gbFeP5M+fE8bweeOr8YpjBsA6dfG6K703GcE\nd/DDyTAw6KxZlvIjfxRPFq1bzJMc1Qhhzo+dHnWEbU4ONo0nBlDpc9dBRgp3QEijF98isWW4atUw\nNm+de9/Zbi8x5VgyQhChFmGphbooz88vtJZEp15DZIVCz93ZbbRZF1ScWgQVIyxup5QMm33H2j2k\n2rhP6nBpke+HLEPm9JYO1fQADzPBl7yGUWKUcJr51T3vQ/AVJKnLHA1OJ6EUsXAW3ca1Do2IiVWm\nQU6ciLGjJ2goo7yY6YDINJBRUQjikrFzGD6pgDUCysE3cJgsyZGSnsHARBE+yefPa9Be92wfa2lE\noKfA9HjV5/P635ZwdLzu7Wc8qNyniuwXH1+FU4gbFr+PKTrjIg7+++vnx22z8Wo/f+sTSclipxEG\nDhHlqTKiAA8W5Hk25eiAk6xOnKuiQ2Jteu7pqS2bZArihIx4LazXBdzZ943Wd8Q7tRzTjJalsqwr\nAPt94/ZyIwDHSmsd9w3RUF8OGrXibukQCCeQDkGybWioLm37DbMN9UA9yDmOI7guYyCiekQKiZNY\n82BQ7xmpCWnc0d+AEcSdRpyzJXV5yiP5TA/oNqgS6Wjjds00gROfgAOvCCRn8BCShZg3Ye544zxm\ntN7pFgK0ez8NapUjXRj39kAJjpTzjDvl3c/f/Xj92Kk51uNbYtBr8tD47WAwnl9zfvyc7o+OzuGs\n4oKcgv/5HZxXScE87Uw+3jzOFx9fhVOA8wUdvQPf+8RZM4YsB00dRKfkzRu0V5MSUYJKTGcSYSFI\nOeJO6VGXx2M8e5SRBhgGixZEhhsiG3GIkp8ZtOxFMKPXguzOQ73y/ptHpMLT00f2/Y5L5/JQogqi\nneVS+Oabd7y8PPHd7R4VEFliAXQlBlYSEu3p4JZyoS6XqIjYlsb/jNkdYQO/IzSEO96fqA7sQQBS\nU2Qbo9WFWpagKatQPYbCtr3T7xYzG7Z0rhK/0wxM8Rwqy2b4ls/dJdMHy/RC0C4pusIxUdolfYnT\n8l5G+J7NTBEGRsg+dm+NSk7s7oHJUArUNfAN37lt0US2m7H1HBhXKmMsm831ADAwF50ENlGZA4PK\nHBo7UgY/DHk4hVdpfZjmEP0Z4j5vI18yuhQ9Ow7/HseSi/i1Nzm942f+X47nOWfnA6Pt+0uPr8Yp\n+Kvfj3wNwuDPCOv5Is//fnMuy7oAY4fPf/PiDzR9hKwRx8bItZbRQJfg7MtpZ5GUh0tylA/8QfL1\nzVg0egLa3mj3jd4aoo5VgQLFlcuPgonY2hNgMalKevAaEIQ1Sp5lUKEHfz6Fw30LANF3ijREd7rf\nKaH+Erl9lxkdqBEzGEzC2/UcglIKSpQQ29bom9F3Qyz4GIVkKrbI5QdgSHOkC8U18+fQKIgW6ag8\nSB8VAQ6Dmvf6gOjsVUQ49udsSsu1MP8u2Sk5FJOJxihzRbKT1OEAKceaGOnhJ5vNkQZGmH02xPh3\nrvG/nng+0gb5ZNDrUFk61uo44fkzna7GCVf4ZEU70yK+L9U4VyVeJ0Pj71/uFb46pzBC//M8SeG4\naJq7xxlNbm7ZqhzhpWrqKfpgPfrMOdExYCV2igCvM+RsMWdQagxg8S703WJ3d6FaTjfq6eFFY3G2\neC+5dwpC7cLLt0/c2x2tSvWK7Y3mnWUtyFLoN+P522952Z6DSIOxLpcYcdahNaGUhaKNWtYAMy1U\nm6zDtn0kJNZDQk10w/szKhWVwtIL1oWSeby6U/K7FirahSoaLc3msBv2HO3RxZRLeYidrBvVCkWU\nqjVax9W4tY5NxSRH0QRXScKTT6k1Q2jiNM2mSXd2j8/iU9Ak7r2pIqUgNXpN0KQ1p3PXUjFzbts+\nRVBaTouSEiCbDE2CTDGCJxX3WAeXINeV8tpm/bQSX7swOLMPx64vxDyR0cykadAxG2I8M4Bzfz0k\nNaLa844vp+dPM37tyM7ya2fcIr5vSgd+Jlf4IbDFV+MU5vHqxnCQl05PGLdqEOp04AAqQTs2nzv3\nwINiUeRCkUPE1dPBBGquyYbzUBXWQMrn/LksQfpQwOlkOBiWVxFWrbTbzr1v7LazPNRY7N2pmpOY\nRPnwyw840dtg1imLoquxFM2BpEbRTtGOsBNDUoKGZR2EhmrUDs1bNDVl9EPzVFIOo1Qg5t0Gw+5S\n13BuBPtw31vQmTP8Vw8Z+pGYt1yXxXOiVF74oYtgzY726mQxDmISBlNANZWNB8g31qklgUdSOAWV\n+ZokhGZH4xx0F+BkN3Yz9t4PwlqClqMN2k/VhpGCxLc6cAfx47Hzjnrs24cjGPHaCC1GlOAZZcj5\ntfNNOP1yDjs+l+r7/MMQIT6nIucowN+cDj6NEH6b46txCm++WyySBBBH7ff8vPPPmOEXiyZ0+rJ8\nqPaK9DTq0aOk5HCgxdmpppLSW81inmTm0aK5yBVSqC+II07KqAlrWbjUhXYPYBF12kvL3n5H1gom\n7Ltxv28xbYjhYIRiStUSkYwGhVorgWn4Tku+QDdwvyXWcafbhu0tKyqC7x1v0SLOSIUQiscCXusC\nHsbv7tzuDWseHIau8R2bRKickYT3ICXZ3gMr6Kmn4EHyeaWhkEBjKE2n+hFkhJfZRBryCNtJPQMp\nqW0AmT4MnoAkyzCwAU9wN1qn7QAX/fy6dBTDGeWKOUN1w4pCw/vYeeX0++tNaRySVPm4ToKcHI5w\n3tqO9MN/2JadTuVcjRvf4PSFPuHWfO+5vvD4apzCIIioBMI+0r8IwTTkrzIiCHVlf9UDYWY0IcJi\nHWW2fDwvbBWJ3LyDlMg711yoSDQrVTwGrzRCuHXpFGIcGs1jBzVNhyBZYhQohcflIaKA56dgSi56\noOZ1QVrhvjd676xrjloXZ7msFClcyxX1MIgiQeNFvpudk+zO3nf23djbc0Qa2z5D9YflgW137i8d\n33M37k6RGLS6oqylIs1Qr0Ex3hx7EVpz2AuFQpUKrYdOxNbwLbggnizFfjd8V3wny5CCp6yaJyOp\nt1ExILgCea+6dRpOk9i9xX3Kr4sIXSLh67nvGimymlHz5rB342VvsyOyaKwTiwVEkRK6i8n6G0Zt\nEtyLoeE4NvLBSXhl/B6pwOAFhIPxmX4KwiIDURgt/nIq/x0Gek45Dr8gB8/geEuGdMCnmMAR+Yzn\nztflNUSG/XzGi33es332+GqcwvTM44INbz684Tl3GilEeo4IR7OrRgJz0Gy9HXc+aLBKN0XdaBI4\nxEglkMhJxYZYS5aqmkEd3idCEiXbejUBzYFTmITjaI5XwHxiHbUskbrve6QSi4AUmjekGaIleABD\n4rwEuChmc9mpJhHYG62HcvR2a5gZhcLizr512hZpwN4aSwcvJXU+svwqHUzpO+xbD4PuShWhamEp\nNVIjB0woKadi2QZtYzJLqi1FO7XM82TyHqDXLJRHVDSVlXORd89FKCTPxALblZHty5Ff8CWKAAAg\nAElEQVQSEPjRmH85uGRFxmwMiJAvUh6VsXuOPHu6gXi/savMNSifGI/Pf8emFQDsOONh8Ad/5YjO\nECa2cMoBErB+vbNPmbfvsZGzRsJZX+StB3nLrzi/9ZccX41TgLeR1Vtf6Z8+JgOSYeaqszMu18BM\nB4iadihoOSVbbEsyFotAqQUxw1J9Z5CZzBzZQ3dBi2U3INEKTYTbtZSJN4QuY+IRqXlwqSubt6xo\nOPTonaha4xwJ0EkR6lKnsnSpGiKoQsqfOSKdZDhje9CVcWfXLdWRskqwG0KZOxsWGg2lVvpm7JvR\n731qI1QqVWvMhcQpPq5NQYlJ19ZG6kDyEcZcB33lOH3s+hmlDE6JxHDLGdIPAFBO9xMCQBRhGr55\nMAd3s4wCMrZMctIY1TcUlyQH55wFUs+aXoOiPI1wlCfH3z2NdKR3Az84lR2H2/IEwMeedKzffO33\nxO5nrODVYz8g1v+kGuF8NlL4AT7h63EKr9pLzyQQhnEeZA8jQ7v8e3QRpCgJsGHUvFHRdBJ05w2P\nAa8i3I2g/tJZcqFel4qaUfeOEXjEPtII63gNXKJqQSuUDn5JmXVbot3P4bpcaGoZBAd1+P58x8V5\nqBfK9RG3O33r3LaNshQeHh+gKeJKrUu0bLtQewmRldbYu8XQlg61V8Sgt05vIYjS2wuqlQtKb+Bd\neFgWigulOYusqAn9Rbk/7ey3nbZH1CCurLVSUaQ5+21HmsQIuy1yeN/A7067Ndo9B764ol0iXbhb\nDoANcpLlLpkBB5sRuEKJ2ZMtpdXJFKwgOWg3xrwJJSGKo3q0WfA2xmh7UQ2dyIwmeoabB24wcvI0\n4oxYRlrRGVUKpkENo4q/RWiuqimJUeZYgeFIPLUiU8g/Uo3PhesiM4LwPHdEDZ9ugJ+vIMirKEFG\nFDZedXJibw/95D2+//gqnIJP/5zHmy8KMKc0jZ1fSHGyCHMHr10B02DCBflNQQKz7u7gQR12z4LC\nACJzsYhAVY1ZD4TgR0/43VtQqqMTUJAKVZaQFrPY/USEogUnZjxc1yu7NW7bHVdn0UJF0Xphb40P\ntyf63lnKir6P9MG2SBm8Q/NOs+h96B4cAuseAqlODk+JGr1boxAYgoogRVgpZN2OLj3cYIO2ddoe\n8x8L0RC1SHIWek+R1vg8YsypT0N5SZIKLtHJhHootXcCCLSUU+ucy3hHWzSae6s53Xreq3TimToY\nMuXUzjqILqS2wkFkS98CnkSoEbWQk5tOUeSAARMueMN0jNeM6GXIthVVlCjjzpzfT+eZ3/DgPHim\nFMf69iOtOEUiZ4Bw/O37jreO4dXffkCE8euOr8IpyPnnkfIBZ5zh/EAcQ9xilqlw+oCcU7I7asnh\nBKz3CKG1R4hL8P9qLtJg+zmlZJlSPEJV4aQyFPkz4kEJpiCieJfI7YtSpMxOyqUuOWMxxrkpwR4s\n1MQwJPLjFrsuDn3rSFW8we2+0azTWsMlmqPMUwHJoFq2GUtUUIqEcKzXKEcu1EDqnXACoX1O3322\nNotEKqNINDLtlpWIaBJTKaFdkJUH6VC0ohJheNujZTxSgeAVqJYsDcZNDd5UfteI92ddfYr2Qm4I\nWXN3sq35jWOQg+4cTiMb41Ry0lNGCbmOpkyejEnUr9fSFFAdBjlSF1IwK3GEKnmNRprhR5Qhuf6G\noxiGHkHu6KU4Ga4cOAVvHgdm2Xv+/Xt2+pnevHn9Z574xcdX4RQOMolMTzhqwMNrR3E8ykBL0Xzd\n6UacpNG7KCU75ETjnxNy7GNMGB78gUHQ28x4f1nCl+wbVSLXd4VFY4RZhMvC/fkOKqyPK/eyUy8V\nKcLD4wVrxvbSKWvMRGgvPWr/LXPuEqmP7TGRetUr9+1OezHsHnjE1nakGrf7nY+3p2iHNke1ZEUC\nLlQEeH/9UeyOe6cWn70JdVmhO+0O1hW68vJ8ozfD2j2+yxBR1QRJt0hP+r2jWzhTQfHNIzXaQVpg\nD9Y88QsP+nI2I7W8l1okcYEx7i2ISpZ4w9b2KC2mXF2HcMRuUwBlkI7awITw0Lpwo9nBVwAylciW\n8Fw/7kNLs0xQ2sxxD0JaF8A8J4BLphOWgq7BfxGJatYiGhGh+3QKlsDicAgjAjmv7MAyMm2YlbVY\ns/U0Nm44olnalNcpyNt05NxDAaQ2J7OMf3yy+YIvtsevwimkO3hVb5W8kKNBan6l5BsE4PP6i48m\nqdZ7EHay7q35OnqE+GYpy+GB+TV3tBt73nAlzr1QKKOLp5Rj9mkL+fa+t5AtLzEFum0xIt7M0VKR\nCu0e+AQ9QnCqIzWp22hEDLbjDbaXLRiNGPvWuN3vh9JPt1CRzvw7cTWKE52YXtAee7WZk7ymaEbq\nAZLum9NyCGzQvKPPpBCMxRgG6zm8pQLZA5IqShElEY6nBSHLWuhBjgamEYAHdyR39Iy8hrGbQKrM\nxn1Lgx6aBhPxG4AEByAYoOMxns0hGdExEi4yzMAlmByCI30ZS2EY4rECfQqgjJ29SFyfOlfkUVE4\nsIBMUZhfJ8531Cbnex5vKMk9SfaunF8Xf//STMDHRziF26/EYMd7/kWLFIAZDr5qEJFAqo6GjrhZ\nzQxNks+4GBFHBDPRXNi7Aw0dObYbWgpFlb7d500KAAtEnQ+3jUtRHgS6CTsgrSHFWapwXS64wl46\nu+3YrbFtG9Yadau0tkB1rnJh4RL5sne877DHXMjtqbE9NZZrjZp3LyyyIrvy4edPOI7Wwst2C+e1\n9Kjj9xjosmhlqZULBaxTNqPWsYuVaLfeg2PQ987txdmbs23Gy1OClN6pUiaWUF1YrNJeWnZJFqot\nEZq3Tn/p9K1h98AUSPr3bgP8CzpyV00MAchZl5L5v7nTemPHI61blmgmE4JSnspK3WJyVWgqxFqw\nHvoZ3RyXULPq3Se3oS5L2EWmDqKCmrBKzIOwkcYk/2VMhzoczsEajKQyypoxuVtZc2jskG8f7q8n\nJvCWOzCozuOBIQDv05Ew1/rhGAZSIScnxrHDv+E0zD9DRhVjQyUdlh//na//0uOrcQr+PT/PxI9R\nWnQgRn3LwX5j3LDjyzcz7puxaHj9S81+h1JoKQe+x9B53EMeTDw6BxuwIKweM45VAiCkBMIZeXqn\n9egUDKEQ0FWRd4p4oe8tQ1oQi85P687et9BzzJ1Q0iL6HhOo2n4QbmhHyrFopZaSPQuARVdfSfp1\ntFbHzihu0buxdVpz2t3oLQDSIqc++x47fms7/e7gEqVJWQJHsFBn8jH/MUVWRsvzkFKbJ3THSEPE\nJ83aIAFEm0QmKenYSwlDUNKZxG5tRDVj7z2ISA49QUifPAbNVOFYNTP9DKQwqhucI2gPPCAfU4k0\nEjhYsYOPkFWsee7TT8vdfphxOW1Q4zkHP+Jzdvn6AU9j/iFk5TMn4cyTOPmS73nv7z++GqcAHECT\nHzftbXw1bmTPGz2qEMMhjHJQ91DQ6eIxg0BASw6AMcO6hFpz5sLuwVDbeoTXVcBL4aqaRpRlqE6o\nJ8sAIwM4pDn3+0b1GmnE5mzWKCVYdIvUaLd2w7NiIUi0bfdA/CO/DoMoqkQDps7nXupKLQVVkBzV\nVjy6jHpqF1gLMLDfOu3eosqQ+T+eFGqJsmqV/Jfn8O7oTCVkVh7IVCR6Gg5dxamCnP0KYZwWVOy8\nfzqAPxG0BrYxnHukFuXQSFAo7lnBiChr751tH7qKEY2IlOkUHGFrfWJRo9dBSOJUbqVlOAmOaGHi\nAT4yAp+VBhENROW8655S2aNfQo5dPP9Px7my07Oe0oEzplBUIKOUkZYMFucnO/ywi++1nPPfxufV\n6Sh+gE/4SpxCGq9IIPgDuZfM6QYyPUpKo348JL1KgoniRsFANai9AlVD3is0SlJYsyjLrrR9x/ct\n8tHu3MXZurFhrLXCUtG1UvLzeIscW7SwlIJIRyTFP6Xj7Y64IT3akP/kF7/ipz/7MetlYS2Vtj9T\nVbnUBWsWfPbWKNZjFgUxPXpdV+73O47xkB2C5s6VJcaqtRZ6ir3w8WXPmrnQW49Oz63Tnjd8N2oH\ntXAaV4uqwKVcuJQLtVQUZXsJvkKoKwmdju0tsIit0172JEl1TAJbuVtSlUWwUvG+Rak3tQpiLkxe\nLxN0qalsXfDeoe9BWSie8yeCstxLoaPcm7O1YGU+74fYSnS6MhWyzeA6tnlVai2xhswTj4nIEGbQ\nQHfY9ZhH6oklFYQVjchLnF5Cz7KjRzlz0OI9ysEQVPrpHBLfGFWJyEqmB8kURThjGhNPc97MEh24\nAEfZ9E06YeozKsOPRr9II2y+xw+JPr4Op8CRU02V21cgEJPRJ6cLPPvlMzLIOSuvcJfY6KJ5p5mj\nko1GRVEvGDWcjoWxRQlKJrC1Zf65hOcK9HrxJM0oS12QqlG68yifFVFuTzdsa7T7HgpPGWoWsgNx\n7iee1ZGgS1ctLFLZ2XGixXtyM3qUQXsPurKZs7+EU1PTIDwlh0EJ49zvewquCktdJ2NxqQtVagKJ\nW2AJFuRd9WwJH2zJHinOCOe7yBz+2vO+mSQnIX+XoljvIXTTW4y5SxXt0bw2dt4RIfrp3kezUzgB\n86GnMPQZnC7GKF+2GOYQUaD60Ybtkfev4346SVoKdzCB7cM+A8DOzzNam9/iAFHBONatzlX5esf/\n1Axf1yY+V2Z8W3H4JDY4YwsyuDXHeSZJ6e0L/+JVHxIomTGYMibzmB/pAZzZjIH4BpFptOJ65n+H\nl445EDH7wczoEpqIUqJxpoiDpWJQUnVjgcfw0q1lLV2F0gxXj9HrUaZARSlSZx9F886qlW+fPkJ3\ntpcb3isK1GrkZNoUBmGmH5Zhay015c0S+S4r3QMj2Hdnb0ZLmN27cXveIsGQYE6KBchWqRF5iUee\nKrBIDK0tWfcI6faoOESrNRlxKdKDz+At0h9qSQXmKAe2bjQ82p6LJPAW5K4hqOsZKWw9Zl/WmkN5\nRPAceiIcrELSSZh5CNX2SBNJZzOMgJEV5ELvblnu88FgCqfllirPkuvpwKckU5hhYeqnrsdXOMDY\nxRNcHPrwfvS19IwApqOYjuG1IfosFbx2CDMiGMBjPmZ+nHSkWJO2PSt1mabJ4Yzy3X7QAJjz8VU4\nhbEznMsxs6TihOhQilTIqQYzdgPMZg4bpcZo7lEhm5cCWNtaNA+pQNVYpMt6xVtj33bavkf9Ohf9\n863h2ikqVIHFnLoKl7IEbUJjFuOqynK9hASYONUKSxfelTVq+x4DaKYwanGeX250M3TgCOYs71fU\nSwxM2QWthdtzdAX2bmx0WguGI9sd753+Ek6hiPJYllBlJlq0vTurrxEVlRJAZItrePt4y8GuYJtH\n0T67itwd28Y/aB7qT3cPMteIEgyZoiloRFWDlmw4VpRGZ2sN6YrIEuU9zZ4THxMbyowUdnPu3bi3\nzm7C3rPLVWBMiwqSWp/rx9zIJsGkOUdE0DPtbBZ5fDen1gpmtP0eYK0c1OUiGiCuc2qUi3U4eBTC\nKb2fgKZMslM8LasSn1nr59jg+yKF4YTOm+H4/UxXdvcZ1RwRwlEN+SHU5vPxVTiFOOTN78NTj8sy\nQrMj1htOYACMZLRguduPFpie9OOW+WPZBVkDUCu1hJ2aYaUE4Jb5rXjn7qFhaJLkpxtIBakSrdYi\n9KVHQ5QoZRHabQsso/cwUs2b7AHYdXfuLxvdexisRlpyWdeYLmVhkN46+63RLND3HQ++ApYsSaM0\nzVVKKj4ffAG6ZNxVYtCtSfZ0kFqLUXUZbM2+WUQWFlULa2Q6cEQIoxrgWo5BJBq4QqR3cWPmOLZg\ngEf6pHE/dez6A/BLUZWx0VtWGqZGgmS14RQaO0e+3LOzVbNyMbHq/Gy92yz9zdbk+XuQkwSZUdtR\nTAmehTvZqh8OQG2kKR7UdsYOHhtWH2K5ecw097zCZ6rknzzup9/H8ZbaHGlMDD2e1pOR8TzniCZ+\noHP4OpyCHBdjhEYz0DrlgU54zKppBDCHgNrpAmip80J0H1TZOHk4i0b32MHcksdQCpfrNRhuLQYT\nWGvcerRYLyrUwdr7sIM4WuHSAzTcbzuPP3mgSuHDd99SL5XLuiRzUBBR7ts26+i3l5j6XEqMVe+t\nQxdqrVGhcKNb5+O+sfcWLrFoys2lLJwpxUKZuSTI4j1KZUstCaB29r1H+sAS6YWUdKRxEffeYe/Y\nFsitd9haZ28hhHpvbQ5vlVqoywVZlmOMuwpNg5dQRNjd+e7DhxkGSw3Ht9TCkj0OjoMFj6ClI2gI\n99a5J5Fsd8G1TB3Nqaqe+NKIDXsCxefQvJQxblinStOIHtwD91mSjr1oSYxIpqCv+rE1jaDA8KMb\n02NaVdzPFPtNoJyMnI7lLdOfjRkSnzWDN05ipi58BmvwbNQafx/MKTv0THvv8xzH/JLffHwdTgFg\n7DJ5w/PX/7e9twu1bcnOw75RVXOutfc+59zb97ZktVtNuhWUB/nFEsYxKJhAIIn00vFDgvJgy4lI\n50EiFjiQtvwiMAYnxAoKBEEbGaSgRDFIwSIoJIpwMIZIjiTa+kkjuxMLu62O5BDFat179lqzqkYe\nxhhVo+aaa++17z33nn3Nru5z91pzzZ+ac9YY4xv/jVHYX7cu9O+IMMySa7qXVMZxtfgUHpci7bVq\nqq1xR4oRCCwNPZjBMWA5HCBuLEEKjWkFmWddKo4Qfz72AbEUHA+LLFhWN2QSWbFodCJFUjwKHI4H\nyWWgIO3hsixua18Ptd63ClEchAmQSl0N2Q1VLNeJJP2ZWENoatXQ3yol30KQBq7aNp61DkWgiKrR\nmDUzDkep9LSUioIKJknpRgwaK2LVjNSSY5JSF6Skf0saeoiEaZ40nFjlP7sXAotU1ErPLJ6LZmPQ\n/RkWWmzswJaOEobtBAllFutkbVKVNQAKZsMIWqouxI5C2vksX8EJmw5SG9owA0fr5qQCbrQojku9\nrc8NpHDJMEYhlcdHr0RvkYBWQxKBNs9zblzSdfpTAH4cwDdA3t0XmPmHiegtAP8dgE9DOk//O8z8\neyQz/mEA3wngXQB/lpl/5c5rQBuU8Mnz68SvN9tLb0ChsQ52L8SOsoffRAxrxyhoTUA4mMrYp4jA\njClGjWeIiFQFIlYhQOIe+85VPAJW9u1wWxByxWHJau8o0rZeGUBGBTQoxoyay0Gi+qZEyLcZhQQS\nzjup1UBFpRYLE7LEnClIIBCRGgj19xSSNKzlIAVinOU9UFCPg9pmWA2s6qsTz4bUPTzWIuHLVWF/\nEK8JB/FMQJ8fAK1rEgZreZomZD6iViCliP08STNeNslrEY/yvhjcvA1WiLVqbQRTEgePFMm6EcOj\natzcGUMxNUq9R2OBErR4hKjSluCksc2payuq3tg5qW2DbiPdZvaFfi45Q62dmD1TgL/umbFVXKUd\nr0ZPtdRK8VqtNWGoxjO3S8YlSCED+PPM/CtE9BzALxPRzwH4swB+npn/ChF9HsDnAfwnAL4DwDfr\nv38ZwI/o3zuHxrQZXx5/bAtH/2sWWYg/maCt5aFGS639H0BIUV96k0pS3SfSBK6E47GgoCCgYr/f\nAeBmCEsp4GreSyHYWoFSgMIIhYEiqcycCWpcwO1tQS4LmDKWY0ZMAEXjVgFxnhFjAE8R+SB9HxMm\nWWyZcFgWgKQoC5UgErZCjF8kynmkgAkBu5AELURNDQ8E5gmRJQ6hVkg16RK1SAqh3EqG5cKE5bZI\nrAQgJdaKWPyXUiRrGpLtiADESRrmHoqkNoU5Ic6T2GIgPRxqFX12yVnCniMhpoB53uN6P2OKUfpV\nkDCEqrUnWus2ZhxqxcuccSwVmWMr616UZliPFaIOGgIfpPoTFEmY9V7hvkHtTkyqXgRpiRcpqB3G\nqa4mbc1gyMLMxCMAZQJoXccWNZgqWfbUbnRUyooGu7yik7kBnQFUtYOtt5tNRL+0iuRslcZgnh9l\nQvRQlnBZK/qvAviqfv4aEX0JwCcBfBbAv6q7/RiA/xXCFD4L4MdZ7uIXiOhNIvqEnufO0SSPuwM2\niKbEbxkgwfZzDFngtfiRDXZI9Z+AQtTaxpv5TYqoFI2KZElPBiNHAgWNG1CJGAIwxxmorC3WI2Kt\nQJLQ5woG14CsKdKGImrOqm4EcJQ0ZmIJdyZIMJWUkhMJFBTZlFwAFn2XjQgIzUI+h4gEQkiqCiCg\n8CwJVZqsZIY1SdcOUg+BGQVBkrqyuOzqwup+zdKGDXB1DGuHxkEkUUwRcYog1pbwuSAXkcitmGqI\nCCFKA54kKCGA23lT0v4NjKbGqLaktgoLa0cjNmHY8hxafc5aJbhI9+MOqOW/pK5R3TK5EGbo9az+\nBCBFa5hZYykckdoZPOQ3FRVjMFJbk6bPB0atvTzgXYa/db2EcOa70IbSAUhVM43JWTMTgkPL948H\n2RSI6NMAvhXALwL4Q0bozPxVIvp63e2TAP6xO+wrum1gCkT0OQCfAyTHwP2yvqqT8oDVTjy7v+PA\nksNfAZaEnaq1cQIzKHnoJoRfquT6FZKk4dIgpDCWNCVJe0ZGpYrEQJgn1ABkzuAYkbMkPqH2vEEL\n/ucMlCA6PDFpdqUYA+1OQpB6DJYNmTR4iSiAIcFPCRETRUwhIFZBCkBEwU6IvFStqAQptaYQipUK\nzUtRlXEtxwU5C1NglhiCkCKqdsEqgn0RkrRzFxenBjhVsZXkklpxE0tdtkIoIQZBSKU0o6EZvqSd\nnM6LlOgCQctuyz4mfYmEMZEmGVVWo2xH0IYhjRh0SbQ1Q+ol0pUlKFPDmtXvBAvDDo0zwCZyujzb\nmzO2Y+iCW51QKV3v53O/PcHbxdbb+7o1tCzrhgGJFg1yXCtaG+QZXjouZgpE9AzATwH4fmb+/Tu4\n3dYPJ3fPzF8A8AUAuA6R2/mcftd6A3CET1P1FwjUXwZBYH4wTgopIBSJpFeCehIoRnA9SIq0ucOI\nsOSKxIxSo6AFCjhgwRQDQgCWXDCnCWk3t0y4FAIORVKfb2LAbYpYwOAYFVouCCSW8HKbERJh3kXs\nd9cIIaDWBTXaHQSRqAFgVMQElDohxYhpSlj4FlOMSEHKyc9xxuGoxkuOuD0sIumKGCRLBWLdITMJ\nvD/KIokloWaSDlY545Cr1ItIWnZMQ5WP6sqrzIjTjP3+ShjDlLBUZ9kOEZT2Ej0ZZhBXlIURIpD2\nCaCKwhkUKxDnhmBEkisTq1lzHAjMAbnkBvX9m69afEW69RGACZZPwOwgtyFGfcdRPTdXCPBrLWiI\nfLWlG3tlpWzh7YpiwIwYpZ2fpd+HILEfsuQs5VoJlDvcF5WkozeQejLI5qkrlgGbgRC2/abMsNT2\nHSBk0rrX0gxEC8rIqUJ4bwbNi5gCEU0QhvATzPzTuvl3TC0gok8A+F3d/hUAn3KHfyOA3773Gu6v\nRXMF9EVhaKGqOkGqQvjj7Z+JhjV3qlUeqNT3FyhbKbaSXhQIrIauAIgnQmPkLUgn14oYk9bsEx93\nhUD9OSbwNEnz1ghQJByzubAqlqJeg1oxxz1iCsgZYEQEkoSfECVvgykipYjMqbnzEssxIUl9ZeKA\nslTkYwZXkozNit4dughR1MJSPGWpqtZYopSUm5fELem5maKkdB+OWZvmsuSSpIQ0z60uYpQJowZR\nZRgTdiGIgS9nHG9fSll7lcIggINmFqLr/gxBaKVIOLOoL1oLwakB3mYAd6yoQ/LNG6pNoAgSiILK\nAolR1qSt6tzKO06qHQUaw+2h69IbVM01aHOpzFCrojM8+tXdGYDGWqLzse66bPtrdSuPdvyCNyxh\nxk67D4ZDKk6lumRc4n0gAD8K4EvM/EPup58B8N0A/or+/Ztu+/cR0U9CDIz/7BJ7wsZ1+2dnKgmD\nTjYSvrnEyP1mjMW8FmKIrDiW2qzhNbCUfNdqzoDomkmf/ASgJkldPtYKqkfUEJBCkI7NlbFLCbVW\n7GNCDcIQEAjXc0LhglIKigWaEDCRoP4YI2ISBaqy1HsIUZhISAFZ+zGmEpB2sza1Fd13yRnv/H8v\nQRBiJkg0HmndxgkJh5di9FyOGcshSxo3H2EV8SsRYkqIKQmRgyVOYVmk8GwKeP7GC8xXghJKrZIi\nHgRuT5wQrqRYzFQl4jEuGV873iIGkntOEhcBTYdGkBoIpTKOx4yXy4IjM5AkY7NWYWKVtVmsq7VR\njLHXLr2VJYBJBQkDcxTjaACJN4nMZYom4c2AnYtEnIpg0NoJ3WwozEDXWLVgJWNZLPMLpmVo9KSt\nSKP6tmLZq7/KjSyEWRkbWJka9V1AQIixCz29d7f4YbNuGyxREGgu8EvGJUjh2wH8aQC/RkRf1G0/\nAGEGf4OIvgfAPwLwb+tvPwtxR34Z4pL89y6ZiD20rdBM4/hdUXBxB+f2PWGt/fmaIYm5h8BWAAeu\nQlQKwagG6Y7MABGjaC+HljtHQpwERqSpvThjCkwCizkXoBSEqPMpjHKUWgvTJD0VpERYaEawwiyJ\nSIV7B6Qo8LHUAuSgXZ0yZk10qhzU3y+QHJWxHDPyop6GrI+kZhSEJvVDkipLpWb14wMhSn3LOEXs\n9zukKfXaCSwIgbV+Ikg6epfCCFUS0+IkId/GeKitbIBCBKUoxWRZPR0Kry3IjG2Rq5HN3hEwogxD\nFB4lsM5fnbrNM0UseRZC9GMMQgflEk4vAZPc1pBJfbv/ptawsSQVWqqKeC/BqGpb+hSdLmDJ+lOA\nQIqwxHhOxnWc0KtspeRGYwdFYzJQw7p1075sXOJ9+Ds4nb6Nf21jfwbwvRfPYGN4HegkysvYs18F\n7Uf9D/eP3Vhl83MvGD3hhgEcakVkWdCBGKAqRj8wqDCWWhEqS+huBQoKjlwQAcxRahCQBsSYYa8s\ni2QL1iKptjrn5SBRkSnsxbVWKjhWLVOG7i7kgJoLuIjakhfN5qya4VgAShEhTGJPZbFHLEdpRJsP\n8pe1/BppxiFI1KegjKGWKtGPRQK05t0OSIQwRUxJVArSGhK1FnAQ/V6kq9R4gItjabAAACAASURB\nVKjKogKlhFKzQH4YhCWNyoyAelUKAIQIkLmShcmQg+72vsz/rgsD5JiD1U4IikisvP/opSc4U6AS\nsqAG8mnGrJW/HbYfFACnEsj9ySeLHAxETVVdm9MMzdr+gMU1YLW/RIGarSJYfIhhFAZAZaVu6JH6\nMpo6NKgw949HE9FoLb65VtVZtRhHlYChqq3Tg/qXLV6BIGGl5sprTiJCWzTSnkwDnQgg0qAYtTKb\nKSvr/oeckbUr80IFkYApRpRSMREDuwlTEONdjBEVjHePC2LQHg18VKhcsJsnTDFKC/ooDC7XBS81\n92FGBE8KOQMhzIwarPFMkArKkH4V+SUAmhBqxLvvHDBPM3bzM4SQQDzh+PIo0HupOLxcgELIxyK9\nGUDaMU996iSEyyAclwW5FLx7uEUMwLybcf1sB0wJcZqQ5kkrMatmGpNEFsaAGBIOpWApjFwYWRFI\n3O2QD1IQr1IEEJBSAicxYr7z8oh3bo+4PWQsSMIcoiSeUZUAqqpGwVwrcinIpYiao5DYCK9q7AKp\nkTBSwjzPsrBYGC4gBlwKqhQGgddBGSLBun5puVq20vMBU0rNk7Lb70Xli1GSqwBM+6vWGNdqN9hx\nIPEyTdOEoAVkhddQn7uiGSFeU3yFkJP2KTkeD6raOJuGGiyb4db9A3NjsswAl4ov/62fv4gWHw1T\nsNFuSof3y9rvZ3HLcCL5Q2RQER0mwCy8kjJL1lbMDE7Q2HZ1d2US5hRYqhVHAJwCaEookHLuEQRm\nQmRIMA31YJZIUY0+wpliiCiVkHMWH71KCqaKjKJQUSRrLc2vItWiQAAlMGfUqu3hK0kdxkNFyRmc\nGeVYWxYkK3SyVGHSKteVxCglWZhZ1KAQME8R+6sZSAmsUry5V5vUkecmnDqCoRGQDFQKYoxNFSEl\niSOoRd2PEbUwDlnqYBYOGjoGgBi5HHHMCw7HYws/piARnGmacMgZBCnOW1X1C6lVRRRPTZxaUlIg\nwrTbIYWAGCMWtcinJOnuIQTc3NyIMdWINwgD213tEULEPE/iYYEYm2MMEoMRhWCreTF0rkb0MUZZ\nA3puCtQKspg3bSuj0SI9LUcDBOSctZ+IrOEeuem6mekaZ/1d8jCMDj6KSMH9NfjdfhOxDzMUnT1H\n08UU+VkOhX1fXVGQhcbIk36WXwRBGFxjQR2ZCioz3uGCnMV4JrURpSPV1WSmSfWFU5T+ClU6UaVk\nkJCl5oHlKUhYDzJXKZumiAhEkskIge5UQ4sjqEUDsighlwrKFXlh5GMVVWCpjfEVVoBL4v6PIemC\nYo1PEBVompP82yXExLDWloWrZj0Gl61IqosTKEhkXbe2iRRGCKgcwBTBAXj35UvUw4JSgdtFIicr\nB2FKVYhhmmdQkgpOxbIyl6V5QqZ5BhNhNqlLkvkZlPCudnvM04RnNzeIQaT59f4K8zQhpQm7ZzeN\nKVCQmAvRWKgxA4PtrBA/xtiLxMbYCKypuFHIqCmirHkJ+jyqwn9AXIxmLDejo6gdaOdkiJvXcm3I\nMZ2uDst1dnF3QhcWSGX7AHC1Tu8fj4MpcDfoWPk1P6LVmlMdr8evrQdhIP+WZi1MhUFNhYgtn1U5\nu+4nZxYds+p5uEo6rMyz4rgAh1hwqMBeY8vnGLHkgMCMqymhmQdKRT4W1JKx3yWRFqUgThKtGHJs\nAVJzkjoNpWRkktx/4kkZwoR8DFKlmgDwDuUY8M4hS2HVCpRboFZhRDkzYiIc8kGIJxJ2+x1SlApN\nL18ecMgFtVRMuz3SnPDs2YzdPmGeAhCrhusm6YbH6C33Sm01FXIpEuasHgVmsXMULmCaUUFYqsSJ\n/N7XXiJXAlEEphkUEsKUMCdNN44BcQpmmEBMs2SvXl9jmiZxi+52ItF3OwlVjlISP8Yorkclvnma\n23qp2iGIQAjTJEuDuqW+apFGCwTqtgcM+rghhb5yZGSNwzaDHqMLJmaJljXiN1sO2vW7fWOInmRJ\nQjOzWOuI1VytHlnwQA7MHSGDjHl9BJGCDW9gBIxJ9Bsn8rbeXnyijdW9kxKch1GkUDroT6Y5VJZW\ncvLgSVgICayHs35LvAKDlizZg5ZzX48aOMWYIAtkN2lr9xjUBwiR9llKijGj+/K1/gFXffkhAEwa\ntl1xuxQsS1WdOoFRcbw96HMJKAd1Y5F0viq5aNVq7YNRtXt0lZToXAqYgevdDvv9jHk/YZoJFCUS\nlAktw46BVr7dokULS9p1hsRY5CABU1kbvlgEpOxLuHn2HJkjYkyYrm5AcUKc5J+4KSN2VzNCIsRp\nBgWJcwha3NX6SARFIfY+owvSadGU7h+irSlowRZHUMxaHm8cVhMyqMGu2iFsa1RyPgAghdRWoRVL\n7evYLUpT3dz6hv4uRNwFogAvOiHldZRjdbEVzc4ANCZk9ofLccIjYQoiqasKdINKUO4tC521xiEq\nqS4HZyOwmAR5uFFhG7EYLmUIty5q1KGIbsi0xcNm/BEuHkEAF0mljlIB0io5SW8JyXosVWoPvIwM\n1Ip3lowpSr7+i3CNKYoxKyxVrciSGg1mTLPow7VWxFmkWtUKQZkJXztoPD4VHI5H1CISJJIgiJor\ncpYiLBQsVNeKlrqIxECIJYIQ8bXjgpcLI6YJ8xTx4s1ryWKM4usvlYE4adcMYGFICfsQtbjqJKXW\nKSDt1PswiQ0ixAiKCd+QkjCGSaQ7qe2hEaxVcVavRlu0Kmlbpej2dtEKrzLGwiUWtixrqeHwVUyA\nnoxiRwhy8JlVyRIOr9/Mm2zAc5TVtf3GXDb1eBFmaszUfc1epvZCdwcMKx/XedE2WVOIWLMOb5cj\nc208oDbbo2AK69FQASw11j1cGMjvrhwicU81CAjALLlWtZ+gKcgEwDoIob0C4/NaN9BgmxZAtV9b\nYQ+biSyHlg5cpIRRZgk+Qgi4PR6xBIn7j2AkNT5VDUuV4AdlTi8l7j4EYUA5H/HuOy9l30DIuTRJ\nKDquMJhspcecLlkByfco1en3LH0pSwFiwLSbsdvNoBA1ylPvjKRQTQgTOEytMhGnWWIVUkKY90Ca\nEFKSqkshgVMUd2MM4Cj9OzkEKeNOaNl7MFhrz5CMoLpevl7C2w6+89v8Mef2vZtMTOW8/2Kb53Hq\nyd3DFIQ+mmlm2OthUYmnV/moqQ8El97sdTt5CD3eC6ojdVhmZSa88ceHiwrcUn3SPRdVIwd41/Sw\nZvUx7aLz665duoVMYqI0t6iZSHKtuD0srWFtIpIQXgALF6QQgVxa0hGptI8RiFop6Hg4iqS3wqT6\nbGpg7SOhpc+AFk0nFYLUQJnE6h2JsNQiZdtrxm6/x/5qj/08A9Ok+rzC8yg1JynNoDiBphkcAmi3\nRw1R8jqmnRA+aYAXRansTGgNX+25WH9JMeYaM+Vm/JJnaLUt2BJGxR6gz9lsbFvMwS/3LnCdPr71\nOxw5bqGFTT2ch039XJcT3OY4Ofx9ng9ddWifH8BQHgVTMBcNmc7VESC6riZ7Qo0wUmR0vFlWdaFo\nYkxwjKAZGeFr6EmwUTsW3QjUr4+GQNDsE33BMLQzFCQsmrTgB7MUNf39d241jDgK5mDpRUBJ6jVQ\nkSSmUrIazqhdVIxoohJYrUBDM4sG8lSSrEICULVAbLZQ3BBxtZ+x2+2w282YdjtQDEjzDm99/G1M\n0wQKhP31leQGzJP2dJRzWsOVEqWO5QICQpDirSGpiUQ6SbMhGEMBJLYQM0ha9WoNdG73AfQ6IaZz\na5N6RUW6j9vfVsWpjL0ASXh7wh3HNC40bhyON6Vly7DvTQnn5sMwjXUF/x0r87PdkvbOy74xCfLw\n79xeJ+NRMAV2hEZkYkKwQa0MRA/o7S8GuNwMMI2hWChzRx1NzrcF2OdAZOhByonHNjc5R6vuu1qK\n1Bx/gMU7BPf6OETxYrAu9MrCOCpaQBaDpeQ5s2Q2hoBpmkTaVXFpVpLeEMwSiMUaQhxSbEEtkSZx\nqcWAq6srTFPCi4+9iXm3w26esb++kt9TxNXNTX9OKWkwT2zlymtQpUvVIEMk1onbGEIFQCGg5NJi\nDax+AQ8LkVC1L4apa4bCbJvVyhBmh1ZkZSvt9xxBD7aGk6PG/Vto8xmkwOQqe10wBtWEaOPY94MA\nugC8d07mLWFu7+AhV34UTEGGRWYZ0bnX7tSFhulhi6pnS6rsPz1zO54bZ7VIr+RUAX9kixAFmp2h\no40R0gLOlgEGSHzUxIQ4SVCTVzXkX7ccW52Aot2yKUhgFABRKRxysRT/FBMoSbHZNAkzuHl+g/1u\nh3me8ezFc6SUMO9mUIxiF0hRDJ3MCFNqc69BU7vJiFmYGUOLsFAwehXmVbWgCqy/I3qDYIP5+oD6\nc6ImFdcqWPc3e0bQGUJ1z3rTTrAhqs8F61yaQnzJXn0u95HcGgmcXm09LT6ZP8OayN43t/djewAe\nCVMgoNkGJO3UttNgEyCT/O1IRQqEjhRO5IrprTSiA31uBaz9Iaz5htRoME8GTO47l5cEm5jHwqsv\nUnLLmptMk3R7KurlAES9YWYNkglaLFUMiDFK3n+cAqY5STDO8+eY5wnzPOPm2Q2mlBDThOtn10i7\nGWmeWjftYA1bnS4eQm951iQj18HoZ1Z4kfykTW0sOSlqIVX5VzVLUrwDdOIRYNsPmpgFY7ASWu0l\nfCMqx1y3GEJjqKu3urX0fbWBreGJ7U71Qa+//s0zm+D2G2fmUW2fzAmSbyenkwkb+nMTv1gDoJMP\n2yrOufEomIIfbAwARsT2RFd7mbp5+jzvHSeWXFMn7jhZVxGoQY9W64F7cgvMlhGoEaSUaZQFFtS1\naQFZsUlwwjwl7HYz9lc7vPnmG5jShGdXNyLxpwm7q51E1IWANItxsEITmwggiu064N5j0FBPC7wJ\nKyzm1CsCt/4NW2o1Df8UzpLEIaxXI60e56h49d94+Da+lpPvI53p9v7t/QD0+8f4QOxjCMEhkI7q\nhuMAjG5B/3BMkVpdxoyl5lm7VBV4f0Dh8TEFP078rzgDjS42oriXY7YI3S7GPO/AdKKJHBk0I6PL\np1csU6rEVExzQooJKRJyyVI5miV+KSatXQgpmX5zfS1GwDnhaj9jv99hv9/j5uYKFALmtNMSbRIM\nJHH3vS5kBXrkmyb+mDs2kHUw1kVnaojd2IrA1jZqU1e8i9Av/YHgqZ/FmPXlw/t3/Na7v/vtbc73\nXunSKRFOV+D2Fezp+P+28uru92FJrY4l96ntx6tjlamMNoXtOz7Z+tFDClp4ksdVqgJMv3D7Tu5h\nDV12cbcRxrs8JVhR6/6jh6X20FAxOTK6yiDn6KqD/NO+C0SIuz3AWvuAGAgBV/srzFPCfr/D2299\nDFdXe8zzjOvdNXb7HXa7qd1kioQYrUSY3GytsQmVnBdUzuqhkTvVgE9BBqRzZtPhqUF7KNyXs+o9\nukVrn8Cd4IOqFB4dBHTbeGcDXdbZtTw5eYLfIuDRNuPe0Wp/PwZmQafXOmtTuJAt2DM6HRuohDs6\nM4RQuWotDhfZomn11sdCMiT1FM3YZaxldXEHPU5F5XrX020fvTgFdEi/fpkGardERl+AfbPf5fTh\nmWLC2kjVQWESSStehtACn9RhLuckcosORjn6XVyMKSZc73e43u/w/Nk13nrrY5imhHmecH0t7d9j\nDEg0adUlc8UCXAskFba20lpSjj4CQTwNJrWr9k2QsOmqnhONblOGZQu7rteIE+X97nhowmOEbuG+\n6ze1NcxIaO/t9K3Ye1iPbaTg3603MNbVftvqg9PB2f3Zoo0NlQBgi28bdvRhxVoXCiWrR6VFEqrM\nb3SuhM4V1giZmVu0LQNSHqDZnjRMvCEL3nxsoR29muU/D0xBJJC0EPP3aEUrpEYidyK0kGi41FMA\n0l1ZXkqLQwCU+OW4vlRFjw/aFAWVMSVJlgmqIgRiLU0uL61wwZQCrq522O8mXO12+Ngbz3G13+F6\nv8ebL3bYzROu5x1iIExRjIVGpB7FyAIt0u7O0Lxma5FJdQYoSjyArJx0svztsTRoTbYQSYn6VOES\nN6CpY0ZwJMVjdJu2xIUxUlNTNH1jUCcYAFEFOfIkzX9oVYb0v5ZD0OZEY1UlHv51I2h7LkY07k2y\nm4wRpq+M1GonaswEoG3klIDbPlULyLjvYGnua+pkKf73qufidu12Tg2+sIKysqRkG3Qfz2AaZjuL\nCOzw/nugVezGBjPoVZ8vd64+CqYA9FqKvigmcS9sGcAN/zd/P0xQk/NKjAwhqLsvgDTNWfYRgarS\nRHnRUhZ1CYqKIK3ggRQDdvOEFzfX2O93eOuNF7ja77DfzXjx/BpzSphSxC6S9ii0suzU6wvqvNsK\nVp3TvkpIdQPxbVyiFjWCovG75QZ6AraznmzbECS6vN0OPhZ/e3/YNRX+CFPeUCWMaMnemNpHWOZt\nYdd+Dsy9UlZpxCW5KkaAEgpeHZTXZizWeRrQ/bKgrart6pV4cy6NiK2HadHEMc9ARNI3lqjC3BE1\nO9a1IlZy99NQRWPyyg6VEYZ+UGM8XkXyXazcSU/f0QfV9+GDHtugVIdCSSZIRV4IoURXrVG4sWVV\nQt8V9UXpKEBUdu1poDAuBfEG7OaElKQ68xvPr3B9tcOzmxu89cYL7Hcznl3vkWJAShG7FEFaMHQO\ns0pNag1GzBXZg6tOwXczarr31vVVXfhOdbFzdCk/vnOC5XCMt+2/G0AheCayvXCsf+PaoOvRRjer\noX1rtg09nIGmYvgQZ6u5WA1CG/HqsVmLhUgLei18U4vGS9SWVVprxXHJYMvvUCIqtTTit2rMo8Qv\nKsBrK9zCDnX00mrjaN6Xwfugz5gtfub0RZigs/u3GBr7LsxHkW9b+O7cjY12G8bAFPxa6Se9eDwa\npmAcdXC7NNgt2YimfNfAkDar0i1Jyim6pU0dUpMuOoKUTgskbdgKZ4RA2F/tRNLPE77+7Tex3894\n6803sd9N2M0znl/vxGtAUhorBGAK5roTMN3YEvVWYeuW4E2KGpyzsudOop2zdZM+G0Mdtt3DeIP3\n9hs7xuH3sSt5huLDjv15ezM0Ox8P5+tr1XV0UuLNLJGbFdKPslrBFD3rMeeW81FMijNLFelasWjm\nZ+Xa9q2VsSgxL03Ss9YzUGJv1ZSpTZLZGK9Ji/uIZHwPDVEC7dzm3QGAUhc0WW/oiEg7oTuLB5lF\ny58boxEbfY14tQhAC8mHXe3EXMONRgC0coSXe+dkPBqmYA8URJrxOHoVmq5AAGkB1EgtosEB0PFZ\nBer7TtrsZAoB07zDPE34uo9/DDfX17i+3uP59RV2c8Kzm73U6gsBc7C6f4QUbYVVjeCTgi/ySeoI\nWpEPXnFsAlptQQAnBOuBwkowgNHVhy34vlYF/HnhGEU7VmHU1lLpDMGdy85Bdu5RzWGWmpJZKzQV\nhuRHaLWkRdPBc61YWOD97bJI2XstFmsEfdB6kbkULUOvDEAZhDWOzdqfUQgoNlo3G4pUrlKCcxbH\nHipwyhjY/ebp6LQfQ4+MBaT2ptDoyu3LJtH7aMxlmAY31dnt2c+j+1mWLul2M0ZrVJ+enNuNmKA1\nJHfpeFRMIYTRnmpuPwa0Pp3UpCN9AfIQpUOOlNDqDAAAiKum8AckIszzhP3VHt/w8Y/j+maH/W6H\nj73xAtOUJPowCt+JyXUkBsFcTrWoHoeoNg19Pbowo6vP54nSiLxxbt1u92gLakuAtWo8yizX5c7Z\nPSO289lv6NAccKX/KXT4bnO0RekMdBbvAJaSbFmlfWXGUTtS2+daAw45a3o247ZIj0mR/pIJmmvF\noS6oLMRvKGHJuTGFpUh0p9gBuCMXQ19mV3JIzCon2f1wm7+srBB7Vyhe1TTs8N1WoX89zjNktNmE\nsTEAzQ9x76vl4lAP8272o00ov2YIfbtVpGatr+C5e1Mf3LtcC5QTVeKC8SiYghD1qV4GKKSinp5E\nRJgVrxOz9CdkICaxJVSu2M2zeAGurvD2x97As5trXO13ePvNNzFNCfvdriEBkNQhCMSYtAKPpDAJ\nyK5VmrPK++8txUzieEDNilUCMJTSOuX/A6h0Pzpg3mBDRxeg0YBni5+NWJxUbNLehIebRwsfdro8\nK0y3EOVDzlJFmSsOuSDXolWupWrTMedWvelQpFXdu8ejVl6uuM3SVi4zcDQkwJIjadc0w+ugyrA9\nUeoVvo3JqqrVkqpUyjL78GmDzLVVbLaeimLM7XuuE6I8JLfPFp1qPwiDID2eQJZdx/3tcjuDcRR7\npz3Gw4YgsZ6/w31jO9SFNbnzn2oPr2o8CqZw7u5swUcXvy9eCrE0Wts8AjDPEfvdDrv9Hm++eIGb\nqz2ur6/x5otnajhMuJon9WRU7bbDbmmgGZQC+XiJHtik3wQQKrFR+x9gnuv1i2/3AwxEe/oYOkxv\n/N2kjTtWH86JumBebyF6JajaaxS07kpMKKVqIxypt1hrxSHnJr1fHhct2Arc5oxcCl6qdD+WgmOx\ntvXSbQtMeLkssE7SS5UKUYWlBBpgqklt92WGuGr3x9x8+wRuARZWI4KV6VeoF0KlcmuvCGphJVaU\nNeg2s+pz1x8aAbJmt0rkKSmNs7pVhekM74lMpWD9a+/Uv3Vy/6CMfOutnxm0/nL+WL/e1nvdfeT2\neBRMgQCpkQ+oQalb7K2xxZwmTLsJaUpICZjmiKvdjLc/9gZ284Q3nl1jShPSNONqv0fSzjniURCI\nFzQ4KJI4HAY1BWhlvP2/qJGF8t2IvheANZRqRCnbV4ZFJeCghDCoF260oGs6RRKEbrEnWOpyt9gz\ngEWvV8y3zmLQy1V0dzPYLYtsLyrpc62oRZGAnu/lsqBorIEgBlUT9F4tYYqZsejNH5alIYDMaBWd\nshE3KdRmbnMHhFlZp65SizCWWoEirK1wdxtm7Upl3wEz9aJdAwQENR5P89zK1Al3l/5eRFBm5NQ3\n6ipsq6Cs0N57C9q12kuO/Rwwya4ryPT+1v3pFCNuRZKMkuVusl6zort+v2Q8Cqbgbzk4C7u9mCkl\nPHvxHM+f3+D62TVubnaIkbCbE954cS32gkgIIbVa/FD4T0QaKSj2BRFApUWrWWahSSpmaJCOJRn1\nuUlTGW6eA8AhiKZOyD/zSPi4C3djZ3TL8Xp+t2ZD0A3NiKf6eAXjoL0QcilCoKqv51KxlCw1Hiuj\nVmpSvjqCzI7ol1JQmFAptMpOjeDdfpYFKa3tqzIoDbEuRZhJ614NcJGuUVay3ZhY++zchlSNKVhs\nAHpW5hqDk9kdhGlQFSYQQkSwVU6w/gHtzbF2f27MgUbn6tYY7RBbYF4YgosoaL/4QsOyToyxDbji\n/Q+y//CKwdw/HgVTgEkGSMWkaY5grkgp4u2338LNVcBbmjcwzTOurnYtFmA3T61XICAP2V6HEbqs\noNgIjBC13gG38mlmDJLfe9n3Sl0626+iE8sWs3EFMJKr3iKoYYw4s9mBCVStHmPPYyAfJ6xXyzC/\nuTX3YIcAKg7Hg7j7KuOYqxaRLTgsR+nroIa7WguOWd151RMat+xJI35hbAEZjMxFQp2ZkRnNtSgu\nyM4ESWrTSzwAC+PIlZFhhkapD5kyWk/Hqnp+AY9MBv0ZKOrvKhqb2w5qc9Cnr4+ucEUlRi4ZtQRU\n1gIyIFBgNUKrYRpdbydokFvrr0Co7a2PsTBmYCTt6lxjVS7RDYYE6TBGAKhKBzNumSPjONEUGnPy\nG3lj5+3zmMfFu8QfMi7pOv0pAD8O4Bsg7+sLzPzDRPSDAP4DAP9Ud/0BZv5ZPeYvAPgeiMH7P2Lm\n/+nOSaSAT3/mDyOliJuba7z11huIKSIlqSAUqWK32wEQaZCaYQhNlBqcH+C/itr1MyEF4LK9B/O2\nkkwdyDsgyPY82uIlcFcJ4IuBdJcVhdjUB9ZFLqqAnp81irNKazxmoNaCZREEcKswv2ST9AL1F4X+\nR0UElSFNY6HBPyaZ0RNwrOOVJUrBbA0DU+iFUyzMV2IPTA1QT4ceJyXdK7gWvDwesOSMZSn4g9tb\nABYWbSsdUsZ+ZTDtCWZoRsXibC+mchFkTsaI7N1XDhKGXiug0ajgKklqIWCepiY5bZ0EKxwDWqFT\n2wHdmwQ0KNgS8AjSBAfy7pQndA+a0ytbJy0yhrK1Hu1zn4exAvJ7Oam/AZbawY6NPHhcghQygD/P\nzL9CRM8B/DIR/Zz+9l8w83/udyaibwHwXQD+CIA/DOB/IaJ/iZnPNsOe5wnf9OlPIKaI3Txj2iWx\nARBhN6v1384PNPcZCwWhW901qGS1r/iLV8OesJV1B/cyatRtBd463sonKlX0TsnUwqPl3H4xAdB6\n/qUbGlCyQuqaUVTnL9qcpZSC43EBV8axFmlQqwyAvW7NIn1NRelhzqrVOvWjyS8ywnKW/MYguKGF\nzJDQ4KqhTgKPGkMw96TMRYrB3t7eYskZxyIqDGmNxx78Q62pifVcZHRCET6pOROhp4Zbs1i7IQtI\ns2dJVZBMIOmVSUQSywLz63cE1lDDgAv7othSHfp7pRaH0l4tgAkusI7bXY2C5ixDcCcaP56gfpUj\nGJbh+vcz3x+CFS7pOv1VAF/Vz18joi8B+OQdh3wWwE8y8wHAPySiLwP44wD+t3MHTHPCizeuAQKS\n1gwwmBZiBbGbpvl/Te9sm2l4YMNwUKwvPyUGlewWR95MgOR5bUcOgBoMdZ0FK0gCNHRQlNkQIJmX\nzAKrVbdmAEsWCX88Lihq3S/qz6+lKgOQKkdc+zlMQvZoRoGxQuTqf+DucWhIAR4RuPRdcEcNyizM\ndkC1tkhRYhamoIyjRSlCmEKuFYflqLEJQNK4EgZp1qkxB/2sthzLd5AZiERlld4cBFF1Xz2pB0Vs\nBg0tGPeruqCJkDiIsiYda2B8oWWOGqGCJH5DP1sdBNU4ZV34XJamIWr/ECLpJl6VKVNnyMYIbX1t\nDhqRgj2JBw03r1cxHmRTIKJPA/hWAL8I4NsBfB8R/RkAvwRBE78HYRi/Kt96AQAAHlRJREFU4A77\nCu5mIogx4vpmL1KsaINVbZxRSpbUYTdKKTafHkFoTV20V6Mn6XMvpKsPnZtYVl7Qz9EQg5cuugYF\nQtcmvXJRY1depLV8rciLuvlyxeFwaLH1t8elhe421GMIBE4fXBkkZf13FcbFt8F89D0zshNO1Wek\n028MQf5vqKEHJFVAjII1iy2BvfeBGqIozMJMozSHAZkvoEvkGKM02Q0BrEViKEqatwQqFZkju0Ak\n5WgtLwLW4E/mWtS+0tYBi68/sqqYCKAMUDmiHCSTAqoW9Wd5Ioft6QgKjK5Dtb57QzrdOwHMk3Tw\nDlNCutpJvw1wY0SA2abIPZuuim3BWMud2JL2vPr+qsfFTIGIngH4KQDfz8y/T0Q/AuAvQeb4lwD8\nVQD/PrbnesL6iOhzAD4HAG8/uwaxuYLQuT+k6AjV4U22oJYG5Lhz4s300dr78jWuGozwyNhCg5rD\nUnHWaIPOtfQuQLVUQJNzjlUMasvhIAk3pWJZ8qgSGORmXtP7kE3YWdG4U+MVTTh2id9ZgRFTJygp\n2wbdl4Z9TX3olzJPgpzVDIENHtkzbJyUETkghdCMksEkPhESxdbhmaMrGQdnEAZafQuuLOGj7jcj\nJjKEx2apIDCNEYXy1+bI6oo2Ykc7E8DKZLsTsUcNBrRmTy62QUqnuLUEIMeCOCWEKeI6Bkz7ebjH\nDiX78/V/2b13W2mXxDQQoGX4G9Ry97E+4+XjIqZARBOEIfwEM/80ADDz77jf/xqA/0G/fgXAp9zh\n3wjgt9fnZOYvAPgCAHzm697mgLRSkMZFOrrqVnyH6KJbbxAWEsAj9p/QKxGrG6uyrgNmNc4xuIq+\nz6ViOSzgUiSQ53BAzWJ1X6rE6LM2eJEcjtDcaU3akPU8lCmzWru7FGkzHhZkC+whS4DqtGnIBba9\nGTfRmEGzXlnKr81LGZUlGDEkZgORUCBGvMDSRi/4w6H9FktFzIQlTAhB+2oE2bvhBYEBKCXrHOU+\nredD4zN634GBwOYG7XUmBbZj0O37I3PERfZOh2XiPBsjkuw2DzNDRxSeh7XWPUD9M4PxEi9BMYAD\nIexmUAygFNo7Zn1xIvjGtXtOcZD6FLhzX3t+Orl+/IZgfIgH4hLvAwH4UQBfYuYfcts/ofYGAPhT\nAH5dP/8MgP+GiH4IYmj8ZgB/997rNLK2G/JRZGdtlBcNTyBtWw+s68Sk2Xat7gFLCTSJwy/Ix0X0\nfWUEpRQsR2EQBFb0AZexqYxGbkwWnDEwu2h7V57Hd6A4SAxyUqDtRn27Xwyt43Y/dkQD46AgiIyC\nhWn7jEx5flEZgVncKxihMigXUAlILIFEEt8RmgQ01ciUnMac3LzNvtPgOUNS5INkp9ox1o8CFpDE\nQkCsnLFrYXqjwb//Lr2ZPSpQhEhWnIUACkhxGhAoM4vbVTmwpfDHGqUUHluItX3u6E1PcrHE7qnX\n63fo9oGtVrr/3FuM4sy4BCl8O4A/DeDXiOiLuu0HAPy7RPRHdW6/BeA/lGvzbxDR3wDwf0A8F997\nl+cBsPWxnvRDAM89Y8XtTTIyhBFUyIumqvrqkhv8PyxH8fWXjLxkcCnISwYsyKZosReQ9HwEi/GR\nTAfWO6ROl+a2XN/iCboEhrBcP6o1XaFGpj2Lkc3e4NCCqkk2icYkqS9cMY7JnM2vTgwE7VVpkUNc\nKjhrAZJakY8FrFZB8RRI7IUZOhuhKgRrPgFeIzy36gOBYhCjboqwXhoFOg19l0OFI7B2q3I5FGwG\n1JGiTiSq2Qm0uxibI9UQh4NirUIfGYsJ7Wmbdwj6bvr5cfK+zw9u78iPu4Kq+trh7qkZdniFTIGZ\n/w62kcvP3nHMXwbwly+dhOitAivHG99WCraqENUzv7FjAGKgZIX6BJghMBdBBMdFbALHY1MJskXb\nVV9qDE0N0DxKMYSZdHUSvLbjLNhHKCRwJ4TtJWs68HaBD4HudeVytOXU/1n0n1n2K9B7CnAvA8/M\n0iqOuQVFsSYyHLPYRZZchSlUvS+9CJWCSgGJAGLSPAtVGwhgKz0f0TwkraksXFQf9UStyhWVNGNy\nGW0j4vHonhyqGUZEjRFRaMzIJ9S3QLHGIN2ao3E7ysuTffuZ0AgvLYoSCWANg5VEvtAYBxGE0a3z\nKFbv1fKEGadIIawIXYSRHqGQ17Jm/Z6MzuwvGY8johFAJ4JBudSfTnmmjL7dOP9AXiwLrJSqGZVV\nLf4F7x4XoFQcj0cJx82KAADUIsQgbbe6Pht1kdMwA0vi4bbR5EfVdk59ln1u62KqQhynYzObsl3D\nGQxNkDV7g83SngmDWbT8GtRjAiBUNLTDmSXrNIuqRFqzoGaxn+RsCWPkxCWa18eCt4g7YQDdCMrQ\nCE2IW5R5Hc3Y4yTkN2MQ3JCPhVtnJ/mCS7IyzGkelfbc1frf3Z5Wp1p+NiNzR3DKTZVRCIPrakF/\nCYSSAiiql2WSRCypE9hSvdq+J+awzbe7/cu6axT5/wrlw6XPrfZ7terDhzBopcOuBtf2MHtAiEE6\n6MsSA1BRvCrQUlyBFpefD1LAo+aCd8pt8w5AISZprrEgAQX/bMDbdEs/a5lt6znIfrts6Bya4e/s\ntC3YGvEZ2W8sDrt3/V0ko0hh1nOLqkCCcLQ4R2DxBmRS0qxKYMcFyIzlmJEX8ZQgM5gLUGuTXqmq\n1A2i63upFCiKWxiGouDqLfTU6Rwk1FuIWgK6fIm2XKsaRruezGx2nr7vEJAELY6rz8ZX2wJ5CUvq\nkjQO2tGasU8/LFJV0I2pRX0NtJBozcKdpglxTi0HiqzrTnvB7T8bb7STuPAPw0/rOY4i0TM2+3BK\nP2cue2Y8CqYwkosx/C6FmDsHbz51k+SWzLOIQRCVcTxm1JyRS0ZZMnIuQGXt7ixhwjUFLXrCzUZu\nb9u6VVMjuY4OTioyo7/I6r5fNFY7XmpObclFZJqvMgnqxVYMYcQgOR9cGWXJWLiiLrd493BAzRJ5\nmA/ie6vFvAEEaPu7SmjBOxbME2JUg58QfikFC0scQ67S9fuodohqUB8WhRj1XjskX5eBY6ZGWEIg\n64U/MlBpwqMkQuQqRJ08OcCET1g9fKIWFm0nDzFoEd/QOn6laZLmPDFiniZQCIjz1BLx/L+TQadr\nw0v7vo3cvltS//yxbcuJ9PoIqg8NalY16ZpRhwFGaAtb0IHo0sQVy3JEKRXHly+Ri6QM55xRssUH\n9CQi1A4pa+WWWGNmtxYi5XIg+icZnhGsx3rfc2NY6G5cXoT79HyNCIhG2MwAl4qSC16++y6W4wLk\nBYt6UioDpQhjZA4NJkvEX0QNjBo0HwH6WlyptVwKbnNGDQFLlbqKReE9kyA3660JApLC6LZQiVph\nWAK18nk9/LpnZ3bvyigNKfrUaf29vVd0lyxUTSAn5SHJUUQSRyE9PmVeaUptWwziup6mSYyfMSKl\npM9qjJMJ55gCzgvt4d03dWYcW8edI/WtBrWXjkfBFAho0XZWAbn/K1hKkEKemhiUlyx2gJLFPahJ\nQhYPX2ttXDRSj3CE6rHEjIikL66i51HLn6rbGgQkF8qsc/YPveihQ7k1nCdyVf/6GW3xn306601d\nGrazNPWBFPTIce++e4t3/+AdHG4PWF5KQtXMJEiLAhCC2koknNeqMmUACzEWAFlDtY9qdC3MWExV\ngSQv8VKE+CHBUSUEVWUYlYNlNTUDpGeyrIyiV1jSUHENGa6EHtcBJXZnYV8X6yZCC6MOIWCaZwQN\nnopzQqCA2W9zUr6n3qPHr4AH6W+QvWpth5ZQxWjtAcb31sUFsfvFvf7hLROkMPHAzLq6ap9OqkW7\ny52qGh8xpMDoqbylCNyvVaB+yRmHhcQQqCpBPi5CALWiLMsooZ2xydqeSbITVDCJvl0rqwTpZOyD\nqSu1ROe22FoRFbdNT3tyP8puznNyW/1u3IcUzqGUVnClqRK6HwuzXZYFx8NRhbMgAg7K2FRNAICM\nHii0MCMTIwfNhmTGokY/CfCiFk7NerfN9WgXN7bajHydsEZ9GQORG0owCS82zVO4b4TKWqQ1EAm8\njwExSsp0jBG7/V4qecfQ4iAGuO8Iy0v4VjeDedivLRs1ijNbY5au4p4CBXspq80bNH332Nj7DAg4\nVTUuG4+DKTDj9vYgOfBZ0oZzycg5Y1kWLCUIg1BEUEpW9YEH1dBMgkZc1q2n22S7OmDS35qyALbg\nLe4AQFvE5LaNo3NitIVL7rdmEFxBSh9o1EJzfQn3dlwY9+FOTj0pSv82mC3fA4sBt1QpjZ4oijpl\nhARZyObQyyQ2hUqCCqRMm8J3ld4VIiEL9TlUVMR++41ozFOztnuYtc5QgmVFNu+CvRcyVEXjM1T4\n3qR8kk7cMQTMu51s02KtDfIHsQ94zmoS/y6obyxe5slNCgNoyVPmHLOkPGMU6zFexosbOyehKz19\nK5TJtOc6/rQ9TqHCxeNRMIVlWfCVr/7fqGoPaBV8NP6+coTnde0+adzmJXQLHNLgnP67LUbJQAwN\n8rMrGd/hrXNcbcZC+G3j9TvRyDR4eKPkCKOtFkfwPQDBLRL3YruUdgzCJLVOpBBA84z55hluc8Hx\nmBGmCbfo0XYFhhCArKi3AshBXJhgUSVqUPuAQuSiczAijg7cCvzVuZCV2dfmOGbE0+IyTJDS90RS\nCyEmwIrqarPdmKbGYWIUBhBiagVVQ+wl1Gy/nnuwQnUmmVcMfD26v2ktyj2V6T2fgphxV/+bVx82\nr95DrvsuHr2c7H52+H0f0CDqcTCFUiv+4N1bYQArBz5ByoF5pmet4kZeK6Oy/N5UBnT+a38ljLcO\nBKwi6QSi+4XVSqy57X4b3LGtvNYZKeSJvs3d+bu2GMFwOGhACsYJGuzWEmMhEtJuQpgS6pJbNOCi\nZ6mAswWg/W49LrkaAcudyb2JMS2SojMiJGY5huR7VTRCBFQjeuoFTTjGHvYd5LN4OIRZhKi6eQgI\nlobNFRRjc4WaATlE10/DECB1qevfzwm9nnk9hFEPP0WJD6Ayf9Sagax+D6vrbl3lvRik74qGXI9H\nwRSk848W9HAQrweU2Hf9y2e48VpPVybfd+3kTOvHtPrS96qNIfiz+/OuF5xHCueyN6v7br/5rM92\nTueeWw9/vRY8bJJFbSccCSElhGkG4lG9AaQZkIoyyD0oEkmVQtBSdUKYTIRkVbWbHi/SHUHi6vw2\nYQpyUrYaBUF6bcrNBlURdJ56M8ZAyBE36/MyBlU94XO3/Nu2xgTc57YG3HO/GyuMv9xFUlt8e7Og\nypZKMczOXYuwWv2rddR0qzsmRW6Hj5r6AEDCUoPo9YP+TQSyGt4NUakU4I3YgIH4yL0JJYEGH9fk\nba48grEMkxaE3s9hmPOZbV4ysSPwLTuCRwaNZbltPrR1tEn0UOF+t9SkvREyMyHu93j+VsT1ixdS\nBKWWZlysADjKPRfDtq3eQZA7VCleFAWwoQKtc1gDoQRuQUaCPtCwejGDIAGhaJahMQE4rwt1l6RB\nlp6XETCl2NZ6T3haMXd73mFkCP15t0u1/dfhw/Y0fZ5i333A/3eOU8bAA53KppHj97Xj1JfVOU9Q\nTr8Z2XhiePD73D8eDVOoRfLU5Z54oO117LktlOAekBF6f07GWVc62lmO2W0Lpo8agbboOB1t4aLb\nHAhAVTemVy/aIjXLvd6Ytag34xvZtd1U5VxbS7MTlfjJHew3PMSlM4nACPsASc9OWHIeq0+rxNbi\n53ouRRsaWef/WWTf8C4YzcbTUJR95/4cOm3avtQbtLAigva1t24hq7ispx305Y13Krkq1J5nzxFw\n6pkeZ1WYbD4gu1cjsv68ZX2SLlX5nTaT1lw4dGNN3aZiIxCGmzmr5mzucQYqnHAN4CFGhUfDFO5l\nvzx+vJfxDc9LX6xuqsSDYXB4zG619AVJw/dRS+kGP3AvGmIownsLRAD2c1lcg/XOPMevxkAUGq7p\n/w3sg7rNoUUK6jWmaUYPou0UJrYW2WaVp1qCkXucxoBGAlqhHR2nsRfre9kYTvD5azxk+PDfs/r0\necp7xOOu5/dqbujxMAXPqTd+89s9WFpDsW5I7NDe9PfGCBR6r3mtnW+tktjfE0OjSv5eK5LbPsCa\nIKi5F2VPh4rQE25Obn1ASOsn0CWcQU7Wc9u9mD/dO7pEYpM9MokoZKst2b0KoNADioZLdwksz6UX\nWfXzNAv+sN0nkq7uZ3zuBLco2r1trpD7aOAuxjDsRv6Rrq7v9lpJ4kvOLH/Ws7j0+M2zfWAHPRqm\ncJrYcf8wAh+3nB/mERiktDtqCFyxMzrI39yPtPVq+yd/3oHQV5+FcEP/bQv+mIqxGl7y93/jM/R1\nG89CqwG+dvbYmZ/zTAA47cB8ig4IaMVQx7M6yc+nx66fqrXPaxGLrBXhxhPeO4bgpHtg9Ei2l+KT\nc+vh/isIv6OzHoVXBmI+aurDuDBO3YIAXEkx/W5lyt2+pkMa8a/jCkh1Qx/E5NeVtauzFdsQwoBi\neFgrBCHOACtMgpUxaS3NbSFotFyvM3ZmCRqzGO0sBvNBo2RuzIFWqgOc6sLsdGvLqOSBUIfsRXeO\nCm5Iq/WuIO4qDvdbtnkNSIGMqfBq/7GuRIXFi5A5GYCzT+gOhud/P7PbOjtyeHedlbm7eH+k+soI\n/QMaj4IpeCg6WOjdDo3DX8i8B+t+6PDU0mp9cFvzdzvd2s/NCgy3UmLoCGAtV4xJeGGmkGGc3+pe\nmjrSLryOwxi/NSJlR7jUCdd29Uy2XccYijuPEXe7lkH2FYNbC+nGkCxOwp2T10eRe25K6ERmH+l7\nj2oIj8biEzELXExllwr+zqdt0idocNh9A8ltx6c8dnYg41EwBQBOcGw8YKbt7ehQ1oQPO791L702\nQnBznRH8eu/7eKL2MQdN0p6B4magC/4cLqjCXwtbn913uuO3s2MFEas7hnUqFeNpPPF6RtGv6T7Q\n1jErNNJ+o+1zwDMEgBsE7AyrvcvVebYY8V3jnH3qZNM5aO29KWfUuPcy3i9reC/HP2Tmj4Ip2MIC\nRmE57tGHJTf5/ZulnzvnJt3G2ieC4VQJ/ddalqEfx37fLQI+S5yh3YupEt3Pvkr39d8ViTQj3B2e\nCBtbhNjcke73FvzjthO49T8wtAEaYX4PiLLt1LwOfozzHGE6D/t0lUZe0ymkJ70mKZIZHM7DI1/h\nlU3afwDpnFUrRuZ8vqQZbX57SAm0y8783sdDzvMomMI4TslhzSi21Muqv1hZKhsWDgt0ji+fRVSd\nMwTSaiHQ6vOaMZh0W/9GZz63Y9yHcS76nzPSaVBP+gydFmy/XyAt71wxek7qn8/Ng2gt3Xm1V9tz\nZAZ8et9WXAftvOfh+KWI4CHjowH0HzIuv6NHwxR6FuDmr3d8QydGNwbpv0XY+rtXNdYMwP/1522f\nsRZg4yJ1/MgdceGwAJmzqsp4RgJOqrpvjYcB8H7QOl5gi+yF3On0R5wnbPEu8LhFT+Zdf9uu2dVk\nVufdGufU0NP90CbxXhjEQ1DCYxuPgikI4fQ6/oAjLAB1VdG4pUtbfADZ0QQgnCymYKsMcPuvpLZ7\n+a2zsJxtIDzweKwlZwX02AcDv/ILjwf3C54+B91vlKt3Ly6v37fKwcOVtrY5QnDXG5jfcBUrfrKB\nEwaoYJ9X9+7O1mM3/XVDO9WgVhjCozGdeD2LTUZ49rGdOv/OMdLBvHgetJ2afs5d+r2x5DNnkdFV\nHP1+/mYuHo+CKYAApiCLqFXFZljxTvHhu0WkC4aJWoKLk/Gj1Ddib9ate6bi99dpjFHoI5nScGUM\n+wGndNQk6hnE2/Vw3lhCG3B8+Njdit5DOBxuK6jRHm0ueLI5OHRgH4QRmSF1JcLb/udYzPgu+yzG\neZ1VGMg7Lj1rGcf5XzZP+ip3O39dPv/ryVu+dPJDdmA7+n2NR8EUZElEMDQNlkv3S7PrpwDdBiVe\n6v0TLOWUEVoI74AQlGppuObp0vVMQUqsnc62/7HP56Xu5sI+9wvBdy4/e+TZsxBp2viZIwYGoqyr\n3cIZewF5idkRFLfPp1yP3L6rjVjnsZzezyidz+/pPp3d8XT7e1MGXtG40Htyjp1un5KGv2fHAzwn\nj4IpAAQKCWx9G700IYKvMURYoQMjfIfSzxr0ho3bTMH/BjTVvn+H05397zSihfc8Lj0BjcjCH+y3\nb8rU1TWMAftQkBGu2712SNFIWG/exxkQ0Mu0u+v1MOJT78qAbE5v7OHjnC3gPer6Dznqg0YKw76X\nEvsDbuBxMAUihMYUrNuwUbn0LRhK8gJo6kWzSKnsolXsgu2LcdumBF8xCu+58MefJNvc9QLvMRSu\n9l7tccrcjCFtHd8YgCEOuEcEDGQr391z2WB+Vl6sHcdQrwAa0ZkLkRwDsDkSjayJ3fM6+8j6w9+U\n6ptE8D5df+8fcL/a8VCe+KqNmo+CKRARQphBZJ18F2UODFDVJi0qv5rxyRBC9xKcM8r1h+Ye951Q\nzq/ajT0aZDt3zCWwb8vg5THI9sm6enFanoNbSzSn6jsjA/mTeFuJb6yqo2dMukY4p3cxfPRz2kYK\n437nxinLcr9drNifMnThXqfH0wOg9fsaF6oPfp/71xG1vyeBe+9xPA6mAGvCId8qu2LhZBJnvZCU\ngMhLOS1H5qvrDNKcz7rttuUSTt/K2hB5yTmwwf2bpHW/DeWfPRpxOzlJitWmJpG3rufPuTK4NuuA\n23b6rPWaZy3wdMd1bbub6V1M947t55qsbI3tNmubJ904+HKiOpnTsP58JKQvKyzfbWZrlHYn+rxn\nHp45vJfxOJgCSdERZgZFQuBJSohz0R4OG1L4xKxu51q5EDESwJ2+pbsmCHeaux74+qcNh8HphlGD\nf9DUcJZOh3OODOlBlzg5YN0D4bKn+Woh7qVXPPv4n8bZ8SiYArN0Z2o9EMMEIKJywVIYVKXLkynL\nEpNgjjGTT7pQqVfy6XLTc+SHMYSRADq0vfe4B23rENBfV8Z2i5hLR5fgo0p0KZH4kGtyiUkjWjqT\nm7KBeh40940Dtt/geTsDrX20F1/8FGU8FJKvof2HxZq2UMJD5k6vKsnj/Qwi+qcA3gHw/7zuubjx\ncTzN577x2Ob0NJ+7x7/AzF93306PgikAABH9EjP/sdc9DxtP87l/PLY5Pc3n1Yz32tP0aTyNp/HP\n6XhiCk/jaTyNYTwmpvCF1z2B1Xiaz/3jsc3paT6vYDwam8LTeBpP43GMx4QUnsbTeBqPYLx2pkBE\n/yYR/SYRfZmIPv+a5vBbRPRrRPRFIvol3fYWEf0cEf0D/fuxD3gOf52IfpeIft1t25wDyfgv9Zn9\nKhF924c0nx8kon+iz+mLRPSd7re/oPP5TSL6Nz6A+XyKiP4WEX2JiH6DiP6cbn+dz+jcnF7bc3ol\ng7WS8ev4ByAC+D8BfBOAGcDfA/Atr2EevwXg46tt/xmAz+vnzwP4Tz/gOfxJAN8G4NfvmwOA7wTw\nP0KiYf4EgF/8kObzgwD+4419v0Xf3Q7AZ/Sdxlc8n08A+Db9/BzA39frvs5ndG5Or+05vYp/rxsp\n/HEAX2bm/4uZjwB+EsBnX/OcbHwWwI/p5x8D8G99kBdj5r8N4P+9cA6fBfDjLOMXALxJRJ/4EOZz\nbnwWwE8y84GZ/yGAL0Pe7aucz1eZ+Vf089cAfAnAJ/F6n9G5OZ0bH/hzehXjdTOFTwL4x+77V3D3\nQ/2gBgP4n4nol4noc7rtDzHzVwF5+QC+/jXM69wcXudz+z6F43/dqVQf6nyI6NMAvhXAL+KRPKPV\nnIBH8Jze63jdTGErGPx1uEO+nZm/DcB3APheIvqTr2EODxmv67n9CIB/EcAfBfBVAH/1w54PET0D\n8FMAvp+Zf/+uXV/jnF77c3o/43Uzha8A+JT7/o0AfvvDngQz/7b+/V0A/z0E0v2OwU39+7sf9rzu\nmMNreW7M/DvMXJi5Avhr6ND3Q5kPEU0Q4vsJZv5p3fxan9HWnF73c3q/43Uzhf8dwDcT0WeIaAbw\nXQB+5sOcABHdENFz+wzgXwfw6zqP79bdvhvA3/ww56Xj3Bx+BsCfUQv7nwDwzwxCf5BjpZP/Kchz\nsvl8FxHtiOgzAL4ZwN99xdcmAD8K4EvM/EPup9f2jM7N6XU+p1cyXrelE2Il/vsQS+xffA3X/yaI\nRfjvAfgNmwOAtwH8PIB/oH/f+oDn8d9CoOYCkSjfc24OEBj6X+kz+zUAf+xDms9/rdf7VcgC/4Tb\n/y/qfH4TwHd8APP5VyBQ+1cBfFH/fedrfkbn5vTantOr+PcU0fg0nsbTGMbrVh+extN4Go9sPDGF\np/E0nsYwnpjC03gaT2MYT0zhaTyNpzGMJ6bwNJ7G0xjGE1N4Gk/jaQzjiSk8jafxNIbxxBSextN4\nGsP4/wH7Pm3QoxvZBAAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(dx)\n", "plt.imshow(skimage.transform.resize(f2, dx.shape), alpha=0.5, cmap='hot');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "learn.unfreeze()\n", "learn.bn_freeze(True)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# 12 layer groups call for 12 lrs\n", "lr=np.array([[1e-6]*4,[1e-4]*4,[1e-2]*4]).flatten()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "332ee77d38594f239e83afcbaf4b28ee", "version_major": 2, "version_minor": 0 }, "text/plain": [ "A Jupyter Widget" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 0.02049 0.01577 0.99405] \n", "[ 1. 0.01648 0.0137 0.99554] \n", "\n" ] } ], "source": [ "learn.fit(lr, 2, cycle_len=1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.996" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "log_preds,y = learn.TTA()\n", "preds = np.mean(np.exp(log_preds),0)\n", "accuracy_np(preds,y)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "aae7fd5595d242d8adbf619aeb8371c9", "version_major": 2, "version_minor": 0 }, "text/plain": [ "A Jupyter Widget" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 0.01243 0.01535 0.99554] \n", "[ 1. 0.0128 0.01507 0.99554] \n", "\n" ] } ], "source": [ "learn.fit(lr, 2, cycle_len=1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.99650000000000005" ] }, "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "log_preds,y = learn.TTA()\n", "preds = np.mean(np.exp(log_preds),0)\n", "accuracy_np(preds,y)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" } }, "nbformat": 4, "nbformat_minor": 2 }