Demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "from torch.autograd import Variable\n",
    "from alexnet import alexnet\n",
    "import os\n",
    "import cv2\n",
    "import random\n",
    "import labels\n",
    "import sys\n",
    "from PIL import Image\n",
    "from torchvision import transforms\n",
    "from matplotlib.pyplot import imshow\n",
    "import time\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/srq/torch/lib/python3.5/site-packages/torchvision/transforms/transforms.py:156: UserWarning: The use of the transforms.Scale transform is deprecated, please use transforms.Resize instead.\n",
      "  \"please use transforms.Resize instead.\")\n"
     ]
    }
   ],
   "source": [
    "cl_value = 0.03\n",
    "class FoolingNoise(torch.nn.Module):\n",
    "    def __init__(self):\n",
    "        super(FoolingNoise, self).__init__()\n",
    "        self.noise = torch.nn.Parameter(torch.rand(1, 3, 224, 224)/100)\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = torch.clamp(torch.clamp(self.noise, -cl_value, cl_value) + x, 0, 1)\n",
    "        return x.float()\n",
    "\n",
    "class NormalizeIt(torch.nn.Module):\n",
    "    def __init__(self):\n",
    "        self.mean_r = 0.485\n",
    "        self.mean_g = 0.456\n",
    "        self.mean_b = 0.406\n",
    "\n",
    "        self.std_r = 0.229\n",
    "        self.std_g = 0.456\n",
    "        self.std_b = 0.225\n",
    "\n",
    "    def forward(self, x):\n",
    "        x[:, 0] = (x[:, 0] - self.mean_r) / self.std_r\n",
    "        x[:, 1] = (x[:, 1] - self.mean_g) / self.std_g\n",
    "        x[:, 2] = (x[:, 2] - self.mean_b) / self.std_b\n",
    "        return x\n",
    "    \n",
    "    \n",
    "class FoolLoss(torch.nn.Module):\n",
    "    def __init__(self, index):\n",
    "        super(FoolLoss, self).__init__()\n",
    "        self.index = index\n",
    "        self.layer = torch.nn.Softmax()\n",
    "    def forward(self, x):\n",
    "        x = self.layer.forward(x)\n",
    "        return 1 - x[0][self.index]\n",
    "    \n",
    "    \n",
    "preprocess = transforms.Compose([\n",
    "   transforms.Scale(256),\n",
    "   transforms.CenterCrop(224),\n",
    "   transforms.ToTensor()\n",
    "])  \n",
    "    \n",
    "model=alexnet(True)\n",
    "# We don't require to fine-tune weights of the model\n",
    "# So just turn of the gradient of the weights\n",
    "for param in model.parameters():\n",
    "    param.requires_grad = False\n",
    "\n",
    "def reshape_image(image):\n",
    "    image = image.astype(np.float32)\n",
    "    return np.expand_dims(np.squeeze(np.swapaxes(np.expand_dims(image, axis=0), 3,0), axis=3), axis=0)\n",
    "\n",
    "def reshape_back(the_image):\n",
    "    # the_image is of [1, 3, H, W]\n",
    "    # resize it to [H,W,3]\n",
    "    the_image = np.expand_dims(the_image, axis=4) # [1, 3, H, W, 1]\n",
    "    the_image = np.swapaxes(the_image, 1, 4) # [1, 1, H,W,3]\n",
    "    the_image = np.squeeze(the_image, axis=0) # [1, H,W,3]\n",
    "    the_image = np.squeeze(the_image, axis=0) # [H,W,3]\n",
    "    return the_image\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The class is  scorpion\n"
     ]
    },
    {
     "data": {
      "image/png": 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akFqYeTGZyFz4ZhCoQC1PTJncygfKba4TdlwEhZQgreAewBvCMwPlpkFQqDRGOIMkromMz8R9UOKkBNjLjVZvYEprDRcjM6iy455EJD06WgtiSimVWnemd2oarznp/aIiuCpFC60KaTs+E9uNKskuiomAblhJwgs5Fy6d6RTZF3mSywFEH5SSjHHHcgH8g0oVI9Xpc5L9RNsG9kbiSD+Z2TFzsgjhssjAFHClCCsjkErmIN2ZEmgkLYUZF2YVqsNI3ARJJ/uk1o0rJ4JCODrnIlkiMUmmKiUNT6HVjWKFsIpijJ6EBJs0BidkEOONQmMC4ifpE88VvVUpuAkYzHGQEYtMkeDwJK5H5CsDRbi9bCvTaIm6cgVo9+Xkjs4ZwCyU9kTGAFmqC42BZdLywfKXSsvKNCF1o2wfKNtGPw5QRWm4H5gZBcgJYYtQbMGKIiWRolgVcEOlUh+RV/hEMIZPMKgmzO7o0w2fLHI1lfnAGvf2Dfu+s1ujy3p+HQdTBLrjVyfzoJVHFghEBDk7qgUXx+ic80SjID6AwEQQXcFEqOKh2LnI3jZhVkcOx4syCMo0JCtiSepkktjV6fMgz4PhiZNUe6ZsO5qGZMHHRGOQPbksqDoY8ti/D4mQ2HKwUguWipWKWWUMBf+6ev5fhGMFmMOJogugdiNlIrNwnLEcTQ4Ew30wIkgfhAovesPjAq2EC8Ugi6IBkcGMsTBQhWaNEGFGZ3RHBkxbJEG1hmelSWXbjNCKYUQfDN+wRe8iYjCc6y2Y4Ug+TkwV5uPQ06y4DkbZsWNwHwL+xjYveA5qeQZpi6Aj8AamSlAgFpOs1ajbbaVCYXg4zQpSG351KELgBI0iht4UyWc8LsQHSkUVtC7sMVvF3ZFp7K2ALaYenQhJv+5E74uNl4qVABXKNDwnEgJzLGRsTkY4M52MAuEEQsqK7n2cC4tUI7KjrPRR5sBFcVMY8Yj8oYcDlRxJ1LqYWjdcfJFaMcg5oD0zdUEAniAquCh123iyZy5fMImYMufKRnCnSGHGJAJkOBEnEo4VJbQAK9LJTCTWuLg7J8I4LkZ/pabTNmX237CQE0XFqDIZGnA5GRccznkNbO8UuwFKmq41XDesbmz7TrvdQJViStkr1oymO6Gd0wSJQYygSKG0legggpGIdmpOQiYpoDhYIgopOyLKtIVVShgZgmei7QYUahXcB+RE+hJEjTLYZsdro5SC1obISXXlc7/wcccekZ03hZQl8xqJU0gRtICmkjlwf2D6e8W0Yl6YVqk1MPElQ9Rkc5iZ9GsgprBtlLrRI5fT9CBciFEYYywytL6gtqO84MUoKWS+MX3hvnssuVj0pSKS2sDKggkdYnY8DTKY2WkP2Opr2i/CsQbC64Sb++OUX7ITF8UkFwZk29pc8+Lt7RWfF8/bvhg+zQWM10oRBdvRGXiewNIMbu2GbM+0ovh1X2nYViAStSdcQXlEcFvB2DBrRB3YfMK2JeewrFzXG57JeHsjI/BeiE3RTLBCs0ZtSVw7RzXkfieHER6cMeF0Qk8wQ2zJRqTuaBFq3ammlH1DtKHS6HbRpy+og0Vw5BmwC0qFp4amQwR8vpjCihKnLrYeKNKoVZm1Q1wwBXfF4yDHRK6JSyDFkW1H7RkrwdkdfciTMgWZJ3FduC99ogFREi2CheE6YAQxB7IpilLbjZjGREidqAW40ZEFnYSg05lZsQQdlVGViKXP9BHEFPaPldQNj0V0Wq5sJYcQAuEXdw82lHSIU2DCSKGK4b1z+UA9mTERylKb1KWn9JmYd0Z03CvTnft5kP2Ns3/HC8/UtsPzH1CsLSF0QMmBNRgd5v1O5MA7zObotqMhtG3DtSIU2tMHrBZMjOGD8ojs3AYmjsXJuCbWDB9QJGkjyBrkPJG245oIHeEkbVKlgW2ENrRszIRSCyadnhe3tjPlAqn4PJnRiVlgLkcDk9YaW9lRNfp14H3S+8R8krZkV9UqZzYqCdexyCXrmBnnEWy1UiyQgKd645J9jZMa5pC24J4SHbN9cSrXhYyTKk/M+rzkh2YkwgwhfdIJOk8kb2y3D8tZqrA9lD42kig7Kh3XoCLE9KVCUUPrkr0NT/xIKp9JbegmnNFRq1/Vp/0iHKsk9L5O31IUiUCsrFQjlIISuaIMj0n45LoO5jiI6NS6cUsn5YmsN0oGM+eS/WRDyk6WJ25PHxZmq8l2Di69aGlIueFiuDszJnXANMfkxMqNciuYGdU2gqSQyHmR1cl0ugrtGoRCNaVtSuhHbJ9s/kTf3xj3kzh+R4RzXReUgCloCm27ccW1HCPOFQJjJ+XOlAOJJNwXbJGCaCU1aaVitbA/PzP7yXVdaCk0D0oWzvkdHAZ1kQNWFXEIgvCJZoGxWOrUxGdfaW4GRSeWja0YEUIa1GIwAxcDddQbXgwi0BnYQ1IkMZekJp5opRIGRY0QMDfIski8iIUPpzG8U6stNYEuWtx8LnWGw9Y2YkB5aYg0ZEwiF3nVPRjXSV6dMRZbrlIgJrO/PoThtuodOlwuHG8XxCut7NykUWsjczJ8yb1CdcmKTAkfjNeTYUbui0g0ETxjHcaWZCx1RSk7w8vC+Jc04rHIK/uuuBpabBEnHgtnnsC84zGZ1yujx+IcXJDHgS/VsAJqhk2HEFIVSWXTxpD1uwwhRElV1J7IqdS2MjPjhkciVEQqwiRy4j7offLp7XdMPym2c14XIyZCx7aNwobnIGyjPQo2p1QYnZxOBmgtpCnSGiUV8cnecuH3U/BbIfudomDlhlZIBw1b0b1UijXiEWCMfq7nk0IgiDVKaWAN0ZUJTCYRfQVEjIW95raILRNKlLWeAJdC5nxkYEbyRjmfiOo/Fhl8JftFOFYAm51pwk4jixFzMhFm/8StNmQuofC4OjlOfARTB+3URaqMjVIKxQ8YxkzYHhhi25Sy74htqCR1KH1TWu5E7mBGTTAzhivuE9UkRTB7RBsiaH1CcMw7xRqlHAwPIoI+J2UqpS2SrRWn1ZclS7rduNfvudK5+mdGJGXKYmmL4mPSRhA6yFhEnTr0s7AUPXURQcMZ3gl3zISUwr4Jt6ocvnHmHS0CZsTliG74NcjsJIHEDfJa0bms6plaK3kpoc4QAe+cTG7X0g7TbEWryBJwP3BaQh6a4KUtNFEo44dUOuckSlA0QQ3PTlqDHAwrtFIoNJy5HHJOIh8Vcb7m2hVqCvp8w0diJogt4bgqeCz4ZCkUBtf9e+a1GH8pgCcRztYaUy7GTE6H+3FxnAfigW8Xxk7cCk0aTqOWwjSj1B0N+L3dmfo9r69ObSfbh470O9SGqGD6TPGLkRvRgGj4TFJWkYjmvsZbBYpQIvA+yOuOEsyYZDRojXH1BQPEwB8QVvkCA+QqjEkfi0uYwcy1TqdDk8mwQszBrewMn2RxdCT2UNZIFcR3qhiWwbB1ULsfXK8HMpxST6ZPZExMCnrTRRLxgmUwV57C7srIpcNtJdc+3Qy2DxQd9OMOwxd8abngrn1HGI/KNmPmxLad4msMyrYgJI2HvvVRXZci2LbkbFp3tAqRzjyWUmaEU7Iwi9B0rooqeyhCvONTljwrBJ/CzIGFU3ZHs5Bf0sGvZL8Qx5oL4I4gYyLFSDFiXvRzwOzUsjSiQdJzINERV7quSDcLPPedIzv7flKt0Jk0eySsuVLLyB+dV0pdbL4afQb0CwseWMzAsqLNSQmaVpopx4BMpZSyKlLcEQsmwuXJLRKJSUZhXidWVlme7sb2VPC8Mb0T6EPmtEiI+xhodGBJz+bwle6ilLohBp4Vyob4IGKxoxmrUksKVPQRRQxSBdEddOLXBEt6CqoFyyXAzqrgxtYKVzrtnhyXEz3W+9ukzEeRBUaPkyCpPpeCYQYDcAyyAzu7KMe4uC7n2QZuDXhjJugErLFVY6K0h/h8MgHHM5FYWuSMsYoQtGKA22TqhninlYJoA13RsmljHt/h/XvEExkH08EziNwwDeZD7XbE5NX7+v04GX6BJC/lI2mxDrGyY62BVqo09n5x7m/065V7P3m6n2RRtqcPSDHUgpGBzI5OxwArsmQ81EWasEotNStTlTjvzH4wZ2J60MZGuX0LcS2+YYLoIGXBGFqTqIvJxwpMJ0Qp9kIISIHhrNJlgelg0clYB59kJUOpWvHtxl53FGGGc/8ExxGID8YQfEzGHKtazpRSnzHdFq7qFyJLKuhlY5MJ5WCzhXXnbo8DKjHd8eaoJ2NOfE4sYo2ZJhFB0UqIoelcj8iyRCc0qTG4dDJsYlTKtlHajfbUiIDsA9ELEIrtaPZVwi4KNVFZgZRPJ6+LHoHY0rcW2UAqIXXhyfMvIMYKKyUwgT6cJpWQk5zO9IMaTkRDCLx3dpL7owYuUXw4xMW5XTzpN0QE0092tQeeN5F0fHZKDi6/yO5oqyvSkoZmZ+ajR0AKMScXnTkOnkjG/oyfnzk75PlK7x18pRUay1mJGqN/xtiI+Yy0+UjNCvgiuqrl+n2rqBRCBInEIkhveByYVfrFqojRQaSsKiIR0FXDn9PJ68D3yrgKUndCgOiE2dJ7zpOIWBpOjJJOmNHkttQBWRkq1FIoCooRDsd15/X4RGuNJ92WY81gjoH0k7ccSBYmSVC4z6AA1ZOjJU7DdUETpVU0FlmVmngm4XVpE9sNZRClURSYnTmSEQNNJxXYCkUb6EWm41rIMEYq1QoXA/P7A/82+vwdJlAfPQHucWL5jBblnElJoejzqna7BjpPRun8Pj7z9PyBvQhNQbRiCmUrjNsHtuvkDrg61/FKNmVrOxRhpFCuydkH6mP1iwglbaIzyGoPyV5b2tvpnG64B3INQozTgi1OQiudQDWxJQFefRFqpWR5pMbLKWlpS9ZlBTFjeiIR+EOPfY2O6WSOAz0b5WknVSkamBi1VsQn23Yj8uI675gn7ktLjYIVW06rbcSMdUBm4ApGI3elDaVEB4ItdiiJdMOqISEMH6us/LoQXRWVvQ9EG9LaGptWsHOS7rh1IlZgUOmLVC3JVhry9IHtZV+ZqwcRGxXFdUI2UgXFsCyICS4TyWAOUBmkPFHqRgDNfOlYtTK1f1V/9otwrEKQcTEUxAvh4JFEXmzRH4urUyKIvIhMbjcjoyCaZCSeQb8fmH6Cc+dmQpdBE0WlkuNCgJ4DxsSLoOkMn0ugnxN1wIHwpT/EucYd92R/OnBti5QYg/N6XZGACORY5ZTXyZUJ14m2gzYabIJlgTmJmKgUyq3B0zOlLELO+yClMu2kXrrYfnN0rh4IzE5ipN5Zum8n/eB6E9pWkHJj9mAcdzKd9FU95T4RLSBClWRYoYowZdC0EWU1f5FaqQruULfBNRbxJdXwujMoK133xEWQGVAcZCfGalhimkwVbAhSA80bodCnU7Mv7a4bqTD66vdQ5h1tN1oGmcbQQtiAw/GyDgPTQhgQH1fJZi6BfJGFr5YU0ivCK89V2OV5QTnFOMK5ua6qJqs0nVT7lvbUOa/CZROfjYy+nN10qHCThWGrGnMGUhvaKk/zGzIPRgxq7wwf3KKQCFfMRbJlwrzY69PSdootGKsaRZW0SspOnW+kK5cANqjRmDOo+4a2Z/R8w3UsKMEagsMQnEckScFjUjZlZFuypqKUKMiDh5CcRL+DO8MPMu7I7RnzgX1oFGCOz0tVY0apG94HIy90OKpLC5s2F0TTKmU+GpikECyi0pgr7X6obXy1xkB1KXxkLme6qu0mPgbaO0OBPtH2jJVFZA4ZdJ+YNlIHSVk9FZhEdra8gH3BaMHC2dvKWlZjm7lq7iwxWcqeEc6MpbBYxJiQBRb4v9NEWaf417NfiGNdwvruhYnCmKyOg49yOplUSaasPgAecwn4I1fFVDojVmnqfv9MmHPu8CKGu1H0wo/vCT6gvlKDrgNTQ4eDPEpbMwgCZHUKOv2ij06bneO6Y7oxMxe5NAcE1AxEEwsjZHK/OncPWqtsZTVXUX+UBGYgtVK2nbo9Y2XH60W3g/3JiGtn7Bd5TswdSl96QFnpnD6wNtck+hJNl+Mgyx0Jw0cs2UsMugcSzoyHMJykiKMCTZ4ZMShXInXirpjt1LqRNajbKlM0aTQr1LIjGVAmMQ+KGlMbRRpqSQlbBRvF0AQLx62ybxWWYwzHAAAgAElEQVSzZJ6DUneOt5Nvbh+4E2yzU04BchE4+4ZmxebFLBvFL2yvj8qaxLyg1UhVMtYms3r7gYwsZSfbSW2rIcyMgc9BkYJrwUxpuoNUcjZutXA34zi/p87k7TrX5syGI9Q+cZsMH6ifS++q55KLBUSuSHBaklJXiWdR8nzIl2anmT5gnw20ERls8gI6ueqGHktr7Vlxgd0h3WjFGNZgBG37QBZwEWBbhQ3nSWYuGZl9WDgtdRVxSDwa3wxiN8Yrj4ZCnetwnuYb8fIr9iy82nJDmUv/nKssZZV+h9PnRU6B2NB9Xw18JqgFfn1GpKLiuC/pV8vk9Duuhgyn7TdMhYhVFuz9XFrwOInwVWxgilHwGaQOiBXQhFzgz6g5oXXpWcOR3rHXT3gog4mqo/pMGhhGziXRCxmYVFCYVSlT4bEfN7kxCGRflVgBmI+v6tN+EY4VFomyHMMqCS0haHS0QNXVKqyEEKmkPFrT2ZLVDCZcyciDN7/QbaBSGduGhqHHKxonzBPRHZdEo+EF0gOxQcRqnVdcmPMCH2g4hVUdlOedIb6kHLKRxgJ2NR9scOBjwPHKiEH6RtgO3ZYETGKlH9woflE8cL0gVl11WiFqYsO59I6NEy4ja8VykB7MKyiWC9YgaK2QPfCxNu90eTSpCdQD99VSMMPo6tww1DZC++oLkInlhsRi8mkNo/HsG95XpzHVVawgCDJWO0IatPqE6Y0pzi1hZhDnSd12JJfWtBTYX574s89vC96JE1rl2Z238xVRsNfB0zd/iaHClSe5V3Q4YwaGoTEpuS/pyDgxLYzubC8fGXOlxEuwWbD9I+4HzTpQuPVCD1BW5Q8k26bEEMpsNINmis8TsUo8PaHakLLhOfHzE/3sHP2NOTqhQZW2uqgNoZ83RMY6kL8QehRKDmYEcTkqFc9jFWzIyeD3hLV1wNdn7AYxA5WGV1tznboUAbcdNYFaEApqCxMdwDg/UVSx33V032n7jahP5KM8NIGbTZITn0G/OrUo8wyKndzl/0DGvkpjU9F6w4rSryRwfAyGr3LjkM80nFY2PAPpTsxVeZc12cIJnDOX9jRdiKmcfXJrBuyM8YmIBTE0ExIlOIh4Qh6NkchHz4MIZCbaBhF1VeQZuCh59gUJDsciCQOPO8WWBC0lGaOvogEOLAs5jRCH7Eh+gLLUGPsjmxOg21/EyqtMVDq1VJTO9EkRVlOVycJIPClmiDZaNQaCWaUO5+31ZJyvjDFWqvTyygf7LWX/SLVV0y/ngZxvdNtwq3D7yI0XsMQl2UxWI5e55FM8+gCYGZFO+LZIIi1sxXCF7bZzTF3Ad1yr7NQKVZU5L66RiHcMQ57qIrQiERpzQm07LkLulWf7uCJGFB+d61ibVOagFEP0hbp3SkymO802NECLMDyYfjBSKWFIBCMnOjsniY1cgn9bOLZpJaXg4wIXTPr6XK7+lq6PbmDeybHBFkjCTZXSbmRW2stHtGzg8Pa7f8SHp8bb/cQG2PNH2ibkOdi14G9/Sv3tP8U3337Ld3/6Hb/+zbd8d29868ntmw+8jov/6e/89/yL//Jf4X//n/+ED7/6ljEufvWrb7GtrQ2Xk3kMdAuu60S2ipcnam1Lj1mTvP+ecvuA9hP6tWCiKWhxtBR0rOqjcDDPxQbvjfCd+gSiq37+aS/08zPzgOv6zJiDPlfps2SsOv5S8bNzj6TUZ3iUV6PL6eaczDixUpajGSuC3c8k9xfGXKqLmQWrCizYIaPzu7fPiCtNCvuHb6gvT6vjVRe0Qbs6g8+rIVApbF65jhO7Filbt0pXVjWRGrkVZtSVXtelR9ZhhE7CnbCGNJaUrxXsbHidCxq4LuZ5LHH+7YlNl8ysj7nKfEXIJquApj6z+okJdrsR07nOQFhk7i4QdixOoxS0b2QGZz9AF9aKPnTNquCdpgXSEGukyOp09TYeOLyytQaSBKuSL/oEP/ARlHxmamWW1fPCvKNXcF0dTNGiqyrOgvpoX/m17JfhWAk05NGbc3USajpWNUQWkqAWJUMQO0kalR0rlc8+kNoY+kTM33GOJYXKXzfYb0jd8dFJfyWjc947s+xIVGIot5cNsfqoapG18C4HWX0xizbEJ2d2PAMLwaSsln4avNSNUy98KJaKPsB4TpjTuY+LTQvWV7mh6s41Ti6fWOkgE3urlI8K1piR9PPkGCfq52IvEfYieCjuYM2IXnEJiqzyxRJKpP6k+XKQCi0UX1oyxCtqSx2hqliB6p0YTpowr6XR1POk99cFJViS90GthrB0u1o2Xj9f/Oqf/g3S73z7299y//Q9+vSB//Q/+y/5R33y7a9/zb/y219Tn5/5r/6bP+KSP6b86lvqyx8g19/jT7//s9Xbk86/+lf/Df7kj/4H/vP/+u/S9hc+7pVvfvMtf+3pxn/7t/4v7t40VrbsPM97vm8Ne++qOucO3c1uNimpZZKhRNGipkCKYkeObcCJkMSIEzgIYGSGESBBfgWKfwTRLwPO9MOI4SS2I8QyEM1BlFiDFcimBMl0JEWUJVEDJZFNij33Hc45VbX3Gr/8WNUREQ+SAcIhXECjb9c9uPf0qaq191rf+z7P3+T5l97P1331R9Awcb57QpyuaGuCoJzzxrseLNxthj/cp2+31GJY6eRUCZNHzCFd2UhYBs3GmvOI4TlFpgkXHC4ckGUeVejeYTpyvjOizujUKaUOpGfwOF3Y1NOLABvBR3bdY1XpomhbUSpSJ1xYSOIv8agKqdAFsgneObr347XdVnpOo5bbE+wDPTpC3I+wewCbr5BaiPUhrR7xfg9uJFXQsTjm1gg2IES1jOpp8Ashzjgf6dO4Oy71jJcA3mOXbGo3YzrMqI04l588rQop3+FqBw8qRqSzYgO/d9lZhdBRC8wx0KXjvZLrIJaJdsrlPSrOjZsFJ0hRrIxteO8GNs52rSvOGw5Blh3UDeuQ1GF5w+s7Z6KDE+t0VKe1VWqr1FoRN+GvAtFNSG3k3Dmnp1RpBCZSbcy7ZTCI7Z/AhRWDnE6ImwgWsFAv28mIo1DNj7qgdnr1dKfM00TFMcVAv/aAklqjBoPdNeKukekeMh9o25FmDAh2yZzSCbFOKpVD3hPnAN6xhDDoUKVQrOLd5/WxccQ+ti+tD0g1VSlSka2Ps6ZuzCJkoLROKtvYOvuZyQd0inhRqjpch3w+0S4VzFwrQXYUSeRt5O5yOTPpisr+8koN5ql2G1snOZKaRzUjukcrZDrOMRioInQx1AyvSpeKXCbeuI5IpJUNxKjnp1h3pJQ5b5ltfUTQecCte0W6p/cGU2D2nuvD1Zhwz/fxPbFcK//Nf/fXOd+ceP79H+b29rf4sV/vPH70C7z03Lt5uN9ze3fH8dVXeOvJUxbfeOn9L/HJ3/oM/+eP/DBmguuFaTozH55hWT/HkxT51U+ufPiwsP7k32J5+D5eeGC89srLPP+l7+Fqmnjwpe/npz/6Uf7WT/wA/8G/9204bUzSOd484Xpa6F7HNrJ1XIJqhZozlM7ZPLqbmIIfd7rTwjLPl7PwiuYDV8tCTkISRbWMO34X0Dh69ZXOWgZ27+waMThC9ZiLOJmptYNGnA6cYe5pFP/dnjCFwZJVoW8r0guJypaP9OZYch+xPvq4QUgrohOECVsW5jYhTrA5MjdHn6eRDJDxmmlPg1WM4SbQeY+EGTdP9OpxbsFawjBySqgXvHrCFAlTgAaxnDmfbhC9D9rxcUJ9wHphXifW8y3QRnvQhBCGdcHZKEPMQalp2AMa470nXsmMCwZaUIxaG836pdGmqAZcU5o3fDecRroaM5kSA65dvFI6gOXSK14866UIAx7vx6DTeU91fpRK2pmeE5skRAIWhNqMcnr8BV3SvigWVgNSN1Q2gozGBs4BSnOC6x6RSzc/DEJoV0eME75HLGy0Pn6IOe8IhwN+uce0H9EK7Y1j2cgykaRxm070dGYfE+u0sU8B9ZFVh1ZF0DGskTpYn4whmphhJpS6oXedRkFQRvOy0lum6LjKvgO8NjG8nwjLDvxEvXBbhToqqjmx5k7dVtZ2R6EipVF13GkgnsmD9RGKd73SaWPD1WVEb0wIQagorgviKsEGrHjQufyYprtGA5wMNJ5To04eWzu9CLmOoYiVhGcMiVJaB3O1T2gMTDLT1VEMXDGeXSqfffURf+E7vo+X7xrPnBs+v8XxppLy6+wf3udJSqyPHvPeZ57llbsnvOe9X8bONV59+U2++ss/wNPz26ymPJgiqXqsrZgGXv7kr3AdhU987KO88cKLzO5X+ezrr/JVH/o6lrdf4au+/iv40e/9QR69+mn69Dx/+Xu+h3/tD/9Bzk9f5+Wf/Un+uT/xb7H0kTfWINSo9GMml4EnbCQWmekaiH7CuaEZcc5wuUOAKR6YZEW7MMcDpm6Q7MOOLpFWEwuFam5E6URHeL/vMMuIi1RTYtyT3qGSeWFSj/nBi6iWkZ6gZ1w64yQg0Y3tdRZSKIP9WoxMo0lE/Z7uGtF3ght3rd4FgheKKWKeUkCcG0dRIkgYRoIpXrG5zpZH86/nBNZoHXwUwm5m8jucNNbqSG2cp46zJM887WmtkLrSSr8sqhtp3Wi9Es3j5h1uukI6Y4BYMs51Whg3KeImTD3N2kA+dmPyHuc98bLrU7dgvV4ULRUaCB6nGRU3fs+Po0TvHNY7S4h0M6rUwcbVmcIA4fQAoQrqJ6xkPNC2R6gpdTt/Qde0L4qFdVzPIr1sI0/Wx4i0WGWSCXVg7NBcSeUppkprOrYrASY9oPvAFCI53RLnmd1uIfoJdUZxEWHcRaCOOQg3xyc8Ob0CPnAbD8zzjNOFGCM+VNQJV00pOGZx5AsdR7sO0Mi2kfI64Bj9wn0UY/ITp5oGxzV6gnjCNCHTWLyl6+C4dsdkkE2JQO7lAooeBgmvUHSCtmK1A1doHAMCb53WK9kKUY1oDwBl8hPVN7ztiWpoK2PBZzTIMMOLYHqJCvRBq+9+fBCl1Uul0dHjMsIrfaWVwEZgJ0b3lfX8Nlfv2SHnp/zgT/wCP/BjP0tKDTfD4aUv49FbL7MdE7V3dsHR4p4vffd7ONWVF597SDy/QYv3uH+Y+dzjV6kIy1Z5fXuND77vw+QOe6/cmzyH/T1++7XXwRmhHXl+Uj75d3+CD/1TH+Rv/Mib9MXxnt3Ebn4Xj568wd/8qY/yJV/1B3jcrhGdkLijaEGbYLXTVdDJYWvBVEdWVQUveQC2+90gH7VOpWI90QViCOP8UBgX9KhsDO5vzoIXG2d82ukl4iRfwNkRHwPVOligs+HyYNaKP9MFfF1pF3xlCIHFOzoB1JFbxecJZR2hfXODlk+mduhNcNIoClEELxF3KQV478cQR4RuRnfjPLipJ06Bon5wTWXwM3ofVohaOlOoOBeJdIJ0qrmRWvZh2BR8IG3jDFkVcoXgAU30JgQZ4HIXFlpUfA+UVlGnI92CUprg+0TjsjBOjuDvj0U5Cq7aIMX1Tq8rzowaOsICW0Wj4M3h5aJv8YLGwfggjxlNdqNlWFvGtYZTBz5jREQL2oVeh3LmC/n4XRdWEfkO4F8C3jSzD1+eewh8D/AS8DLwJ83siQy46J8HvhU4A/+Omf387/53KMHBsV60Geroa6cHMOlMYUxHuxN6OtBbovaN6A7gR4e6EZlE8HofFx16AYOIOEQz5gXnF+Zr8HUH0XO8jbTjE47r27TzgsWJeX/NnAu7sLC6Nhim0zVoGwfdfnSYa8v0Wqh5pdR+aVINSEbqhteZvihz2OOXOMLcFFQDUsbWR7zHuQk1R5Chkwky0HgmjqVXavWUWhFJWPM4uxQGtOE2R6ud4iohZ3TyTKaDwh9ANNLLSBo0KosbhKuBqG90N+G9w+Exd9GlnANJzoTuxwS4elQ7RSvmDmhQlusDrhb+x+/83/j5Vx6RayYiaM2sdeObvuZr+Lm//XFuzpX7tWH2iN96/Nvs5gOpbLz44ldR2sbV1buxmzcgVx6+5yXOjz/LZ199jQ9+w0f47K/+Xa4fvEC3CdKJe/sDqkK2W77hI1/J22++Sl2V1z71lG/8o/88P/Ozf4e4HND7H+DpK5/mn/m6DxOmiNvvaC3TciF1w6nRaqf68WHuamBp/ExzI6jgvJDreeSBe6fTMKlgECQSokedY2JwSWP0FBnxp9zyaIy5cDlzd6MI0itqNiJgTqltRVNjUk9qhUXBa+ZkDaljt9LLjlYSoo3U3GihOUFVSCKoCF6nQeTvnZYapmmwJS7ZZ+8UDRPWEpKNHI8oV4To8RJpWuk4aOOOr+dEDY7zZmS/UXPDasBY6R1yvvjb9DJgCoLaTJQI3fC6IH5QwjTEUUgwQ8JMkOHTSvlIroPK1WMdLYgO3vw4LouBGD1NGOmJvoIsdK34PhbnPFesZIoUmhjzmHLj3X3C7prl/sJ5W/Gp0XJF1kpnQ82YBJomXO7orJiD8v8DNvB/Bv4C8J2f99yfAX7czP6ciPyZy3//Z8C/CHzg8s83Av89fx9D69/zEKUxY7KhNaHWMQftDCkWTI1FD2NL7iCd0giqu42dm0fqqbkBtHWdKMPtJL0MjxGFECJB/edBkR1RI1kDa19h20b+MR0Ju2t675xrps8zcTuBF4LfIVKwamQb37eop8mRbgrZuO0dc41lCix9wc0eMdBuqEayjbOd8XGF2U2oi+Adwc1ENSaneO9I25mWzmzrCdcZ1UwJSO8XMMrQi0hRnFfKdiSEZeAIVXE2xGkVQ2pja31cYCo06YRx64DGQB1IUrhSfI5QK5SGUCjamBmiPu8jwRrf/mf/PG90GcALQNyO3W7Pc2FjOws364nShNe3zJV67s0RaWfECa9/5uNUMl/+4X+a1155zAY8c9o4uT3xec/rv/HbaLjmrdffwins9s+Qaxq99SnwxmfeQqbx/+D3ys3tE/x738/TNz/NwaDrNS/+/g9zePZFqmQuCH0cbjB4bSxczVemNvxLsiVQTwvx/23K9TWTuo7SinNE9bgg48Llhgl4ChGJgmc4yZz10fbq7SKt7ESGCHItG1MXjISmCmEwZaUnamcQqRhIP5EAslJTR2RCvEfdMMdaMLA90ja68xiV1oyQ19EgTB2kjULHfsJxBXhKr3Bu2JRBFKsjbuiAQiFYQ5qQ1lt6WUh2kai4TggLJW301iinM855GpVJJ5oo4g1M8RpoNHCN3I3YLyhCFdyszNMO5zuyrlQ82oZPrJXO1C+NM/dOG2roW5wNw1p3FakBFSFouUQeCwOWNowFHcc8XdOnK5w/cdQjva4jepU3PH1UW2secDIBlStC/McMYTGznxSRl/4/T/9x4A9dfv1XgY8yFtY/DnynDd/s3xGR+yLybjN77R/6lwiIVuYY6b1SLUPfIa4RwkR048rbasFK5m5d6ToCzaZGnPZ4C6irBOmYKDlttNu3md0ywvBxBgscpmsKmf0ucjrvOS97tnSipqekMuyYqZ0hD4dTq4nsPOoiU1R8DOQyqqIpr4TeB8lo3ShAzY3NMnVXCJNStxk3zZRL3U9x5N4HOakaNnvcNBPiHq8ONwfmEMEpYX9ifSpYSbTWKGaEbmxkas8DkuEiVjo2wTLN2OSod5W0luERow6+6GjCQjZ0lCaZqESZcW5E17atQLyHC5H0+C38tMOmjMsVHyeW3Q4n8D99/w9xY3uWGFhFcbkhHPHN8/i1M6+/8ZgPfdV7+YVfepWUOm2uhDyTmjA7CKFz32Z+5dd/kdoa1+p56+mnuMcT1u1ZPnP7hD/8B7+VJ0/f5nO//SrPvPg8bz5+QjutaFkxH4nZeNaEcniOY2p8+Xtf5Le2TKtnPrtu3IRnee1XPs6XfejD1NZIrVBax2plzRu9byxJ2VzB9Tv6OQyuw/5AsIeXJtKM05U+DXNEKZW0JXyphNaILiJ+VKADgzw2ADyC1WF+1QRrfQroKL3oOPpRWelJyKJ0HRprIdC9Q/JoXPUWUJ0HH6COmw3vArUZUY9U12n1TNRAoFNbouTKmk+DnVuNkHdMVx5/9XDMIKzRto1atkGU6gUtK1IHuNzbJXLYT+ODOXlk2qEOPMZWjkSL1HTC+R0tGi74Qc2yTlLF+4jVFa2FUlfsrPjrh9QkNL3IYsRh0sDP7KIn1US1ht+OGI1WDyPl0C+5dTJ0pcfxcwZDpNJbpLd1zGUqmA9YPBDmCEXYdeVYGqzCMR2ZGPHH1jt+jjiL+MOM/eM+CvgHPJ7/vMXydeD5y6/fA/z2533d5y7P/UMXVkGY3omULDOheJpVap9x/TKEuRCPTIXdbuG8Zkrd6PmMqht+rF7xFKSOgZLZxtlnpDsiEz461AsTE+aVKxdGtOMWPI2gmdIqW0m0UsEaczY2n5mmQpKO6DW1V9bzLdbfUZmM+mxKjZzGYCTZiZv5iq5HosCkkdVvOBykwlpPIydbHM060Qwjk7sy2ZAdigghuMsgaxgUCn20WLqM3rX50ebyEec9jkAPxnq8ozoboGxzZAqBMdlPWVHGXRfSCFPESqL7iXraCEtErg5QK2oLbg+23lFXxy99+mV+4Tcece/BTLEdYht1fRvxjrIlWhwVxE/82hs8uJ549eYG2QLvurfQ756y6rhLmZeZ4/nEu/bX1Ga08x2nqPT8Ns8Cfv0kv/yJT/PmeuQUPV/y3HMcq1L9u3l8c8e7tDFxJt/c0b7kOX70R3+Yb/lj/wJPXn2DkjJ/7bt/gH/2m7+eL6uF2m0I5bpylxLb6Yae7qgR7vUdJ+cGINwd2DelXO+YNGJe2S336QGOtXLKlfV8h4ljCol52jH5kQ2GQQgchlOBoJStoHllzRvaIMbAfDgQnQ4qmCrCBNIxIlUqrgdiGAH9WQcASB10dJyTdrCWqGVUSMNFO6OXuJQGRepEopDyeWzD5wOqo7tPcuS2YQnErbR8h+8XdTcCvg6ZpRZqE4IEvAx9CQ7CuZPbHWYQ1RP8hMngUKSLxloNHEYv68iUVsgnhz9cs6XOVoeHDQlD4ZLGQLb3wrZV1DLNV9QFyuXnadnQqAPlYQ0dDgO8E6Q5trIBOhQ+Ini3UGoDF/Em9HaBl6cV7wF1hKLotB++uS+25pWZmcg/On5bRP408KcBnn9wxbxELO1pJFIv5O1EbSe6F1pxONvwPrLQiO5AcOuIKhUjc2b2Z9y8ILUiwXB1pTLT24Jqo/VMyEZ0M0jGdU9jbNdCCNAOmD/Sc8eycVorYGySCFslZ2VODQ5Gs0ZvmS6Cl4kewMszuHJLKZnSN6wsxJqpqQ25mkt4ItY7W77lnE6DzHRPCWug+TDEgn0jVcMzCEY1Z7Y+qrYi/iKESxcfUrj0yEcLzbkhINRcER/otdE9eOcIpoh4aqtYaGylDHto65AyuaQBjEHZ7u7QEImt0WJkcY7pwUP+9k/8NN/zsU9w78EznE2x9Y5tfYRXjzZPFmXu8NbtmYN3pJRopw2Rwpv9syzzYbTrgDfXjnTPK+czkxOugnBXMg+nPae08n//3K8wi+Or701sb36Cu9sH3K1HdLriJhXk6j4LnrA4Sp34wItfyqc+/iu8/6s/gts2gj7ho3/jr6PHr+el97+Pcun2Pz2e2G6f4FLiLCtt2+GmSHduFB6mzvV5o+7GsYFfhNo8a8rcrCvrMbH1AS45ZIfTitUTkw7X2j4uxMOOqBMWjJQTJZ0GblF27Lohk8N3h7k9zXnoF527dFpJBIsU65xbYZ8LxIYLE95Vah18Xi0r1IRpGVPu4PHTNa01vHYSnn7Og5JWKlrKAKiooa3S08rJKrFliuahvwlh2CC8Z/ITs4FMVxACqflxROEUql0IVYAMnbVdsH29Fmq5wXpG8hHfwLyQ05FGo/qZ2pSyJZwbf0bpfezJG2NnVlf8UnEa8G6im8Ocg6IjQuQy9IaTsbj2lvA5kXQAjXKtA1/JeE0sBLyHiA7h5lppvaKHyI6hBa9fJDzWN97Z4ovIu4E3L8+/AnzJ533dey/P/T0PM/tLwF8C+OBLL5ipEeNMFU9pR1wbh9etnlG/J+dMcGNqvkx7dL4m1wLbmdxOFIsEGkRlaiMwbW0egX88snW2UCjl7UtzRgkayd1+p5ZqE5PvFE2oCutWUdsGYCM1rmMmU0Z8igkmQdyCN8/RZySv+EmQHNnNV2hTmpdxDGCeks70XDieb8l3d+QytluqHr+b6VZwfcbFQm+VVrbfafwQGXudC5DDORwFFUeXTlrPw//UKlUGhlGDjg+Wa6gPOBkW0POpQTdK6ggrVRUria3k8Yb0nvW2cP/ec+jTp/DsA15/dMP/+jO/xnMP7pN8xD3+HCl3dnFGQqEVh5SVNQ0+wb3F8+abKx98fiHu7/Gbn3udvt6Qs5JcZSeBjPC+d93nc49vWEOAHhC2gSGUTkvg24CQ+J7xCLGfeCnCuw5nfvP1E+Yjx/PrPL+ceOkr/wBvvPk2zjke3Zx45t593vrsJ3nf+34fqTduz2duj09YbzMtH5ms0tWzCxOTLsM5lgpb7CwX7XNuxpZW1u2OU944VQc4evGsJQFnXF6ZKQSvuIcv4FF03rGLC2aOc61oOl3qo+MIq8sy0JgSsatIS6Blo3Yl1Uytdeh1Dh7nd9gUEFOiGLllupXBq5CGakP0Gp33Y2CUMxYmckloPtPqRttukbgbcbJWyC0jfcVQFpnRxQ0sobixk0GQac80L2ypIgwmhqGE4DAXwF9kmH1M4M0a0jOhVHo5I72zKUj3CIJtlawnQGm1kbY2JJtmWBlyQenC5hq7bPRgg7VrQkuD3zqFHakaURK9VqRVclopJeMYBLuBCM0EF7EuTNNCitNIZ9QZbCWL0c1RE6AN618cldb/Hfi3gT93+fcPft7z/7GIfDdjaHXzu56vMgjpzs8jn1YV8ws1ZMQ6rTdaPw9trTcijmkKzGHmmAqpnQjld8g0Uo0NI8xXzPs9zZTUHaUm0rB+wV0AACAASURBVGqUdEbaho8zYdqh4mm9U8SIfmZWpceVNSihLWznPmAO+Y6jrZjzRK2wW1j8Q/bLPdRNxHriSauUlMlSUeeZd9fs/BWini6dkitlPXG6vSGvt5zPZ9x8IOwesM8ZJw5zmdQz5hxlu6XnOiDTqnQ3gROkDnNrjxMOQ1tm2wq1voWP04j1tIL6AN0uZHWH2TjfTSVjBTTc0Zlx2qE2WjlCn6hbIi4zN29+mucePIfvmf/yL/4Vput34eeFV175DHtTHt67Zu9WbssIyt9UQ8M1i4ts5cTVc5FcE3/qX/1XeO7efT7xmZf5r/7b7+PwnA7akDM+8/qbOIWtF3bmuLtQkIJ5UOVmLdhknJPCJARvhCo8fnrLw1jBCsfP/jpraXzNV36IZz70IT728V8g7h9yU8685J9h2244p87pdOK4dc7VIbKDnfJgd0UIByYfIS6EaR5lj7LSSgZppDIuFljg/mFC3Iy6wO3dU3KCtQzN85UfNl91MxpmxMFBBPVCOjqijEJLaw3rY6Jt0fB5zBZS66TeyamxVZjFUfsC5i46dz8Eg1YZIbpLFlqmcXQUA7vDQ2If1evDcWXznmaZrZ6JToh+TOpnD1RP8A6ZIoRlUKq8wyP03gg+YsJQn9dElVEp984hUXCTGzR/EawLpRuyrRfV9sA7SIt0HxCdB7O2FTAdyYXeLoyOYY4wMyR4SqvknNE2zm87huThrkrWUdfZ6oq3OrgA50wvG/QB30npjnh9HxUlWKPqaJBN+5loSlOP1AZx/NnaKr5/YZOnv5e41XcxBlXPisjngG9nLKjfKyL/PvAZ4E9evvyHGVGr32TErf7d38s3YYBdqmjYsLPu5j1VIyZ1COUkI3W0ilz3dO/Yo5RtptdKnJQYrkZoXyLTfI3FCecn/FpoaaPcnbnLb9O3zLJMHA4FN92n0fHiRhe5dtRFFp3o00ZpOyIb+PuoVWjGqRTMOa7uK/OyDMrS5nl4Nc6B17SyD4H9MrE4Q8SRrbPWSq4F3xvHNJiU2+0t6+4R63zALxOT2fARNT/OkGsBM6LfodZoYjBNqEQOQXAG59MNmjd6MWpJuAUYPu2RjMDI6zriXX0c0p/6iVA9vR9xzXCe4V8SIcoAEO+ffY671z/ND/34p9gt93lwOLC+9SZ7cbx4/8Bt23j75JhCoRSYl2dY05ldfwJu5sEU+bZv+885vfU2Yb/jaz/4Qb77r/5ZVuv89E9/jF/7jZd5/Pgpx6ePOB83qhdka+QNlqmy23XuOqw3mek68/htaLuFV21wXp/xHk0bV15YHbz8Sz/N1/2Jr+Zb/sg38v3f/9c4bQHdGbVWTuuR83rH7VpZ4h7xV1wtgauHz3L/sOCbp/lxbNOawZYxbVhTcluZrPNwObDbTXiN9N6QPnPnhVAdE47D7jCcWE4unidFDwuHoHhLhN6GxI9OS9tQaJun1CPZlL6u1FxG5pUFDXu0g7lxDOScIm1is9OQCGokOqE6QZsf+Ms6MthzXOj7Pe52HfnTYKg0xLtx5+euyXnDoTApcbqmBh1ISNtw5mkOWjZM+1jozIaPThX1jugWuihVhlDQKYgmTI3elOT3Y4kRoZugOjxWPfWR372IC1EwmcCU2jOuDxMrOx20uabgKmqKM8OK4UoHdIhH6QiezoRLibyttONTZDfR2/g60cg83aO4FU0TvWS0Frx1xHTE6b6Aj99LKuDf/Af81h/5+3ytAf/RP/J3YY28HWm9ssNwYUFdIu5mOkLvnaknUs0IkWIbrg7YQwxKcPeZ4zvK3opEj8WAnzw5w7meONUzlYTvlVMpxCBIdwQP2j2p1iGZy9uwO3pjJzPTPlBtQqIS8NAzkhOIo9V33qwdDZ35+ppnfCCvG83OYBmHDklfbbh6xFtjozHNnlYCd2klHG9Z7z3lSq8oOqaeWz8hjFbLhJLlbjRWUMTt2e12hP0OeQclmN8cDrBWL+exIz9lpVPbCXMOaRO9C72Pz36g4CTCRVbonSfXjf2yQ46P4Gri03fwi6/e8uDBM/zmK5/iyi88fzVzzollt6A1cUpKVoetmXW75ZQa964b//If+1ZkOXB4cR5NnfNjfJiZ1PEt3/zNfMvXfy213OJ7Z7KV85M36c99gN3+HvPuCjEbgyGFeQr87E/9Ej/zcz/Hzc2rxLJB2miLMIlwzwfezoWP/sBf4f79F/iKD38Dr3zm1/mar/k67u5uBgG/bzgbGmqlcLh6F1f7hevDbtDDtsGqaJbpFlGvBCBUo0pnmYSrwzwGSFvmmf0VYZ6wvCCtsrseOyn17sJjEFwbZ3hhWuB8orQOkimt41mROvQk3QJrr+Rq4HZMc8SmCYkHigmaGs03WsuYGoFAWwJOhdohS4WWqOWMs0irG+oDMo9jKw+IW3Au4J2j1MsRgjeUPYQdcQqEScnrE7YyjLOYUB1oE7oFMiuxDd1L4ogLB3oX1HvEGt15ukX6DIjD9YvVwmyUG7QSJqH2gojD+4s0koKTTqmdJHXAzftowRVrKANNqeZp9UhTHeZlduRJcK6hCI1GOt9wjAEtw3Jc8plqdfAx4gHxnaVk2umW3Du7NgDqX8jHF0XzylqjnFZEO2dTJknM3tHxOD8sjL06JufHJLEzSEDCmHb6wDx5/Ow4+9F2MufBPLWlsaVoHpMz5vY4N85hVjsztT0xjqnnXS5s542Uj3gf8LMn6p7ihUkcPgzSUk1ji7hME83A4y4UdyV6R4p7cnJQEp1GcBMxxsG11IznwN1ZwQLnbaVsZ9btxG7y0AKtK8MRM7ZkjYyUQNs6WQO7ENEQWPb3hiK4Qjo+xfIJM2U7P6FJGO0X8dSe8D1g3WEqeOv4eUxbZy+05khkzIR704xsT3k77/ie7/he9g8e8tz1fT752d8iOs/ve+GKl9+648GibMeN263gnOM533llfUw0iHsPpnzkI19LVqMZTM5j8w5RP2qfbgTIq3SomVI2+uHdhDAxxQHvtp7pGI+ePOWH/pfv4slrnyKVxvUkJGu0pnhRWgQfDzxc9oivXD2MtO1Vru9VPLBc3aecNuI1TLWQTxVfDVqmp0Z2G9E7sDGE6T1APaG6J1tDtBOrH1tilEUamxj7nTIx0/qM1cLsHToNfu1gBI+7JUqndEaJgEBpHec8nY3eE8Xq0IGLxzlhOhwIIULYUZ3hSuFYNmYbyhHB0byyxInmwZlDcqKlM+daRvOopyEC1IALw7LrnBt0rhZBVhxglyFuADhltllw3bCUqC2D80gdPFRVQypIr9TqiDrO95sPSK8XxOQ01PUdnA5qlitDGim9ocGNlt/F+YafhkPOGqk11NKIOYpQ68h++9BwLUAYlKreLhcWGhJ3+Dh8bNbqCGNvd9w9Lfh4IIaFamd8qYMQFpVQJ1If5+u0M+femfWLI271BX2YdYwjtUzMIdBVMAk4F5G4jDVGj6RktJIwW0ArXhTpglBHZa3IgF0wQTdOd09YTwMMXFUJ8T6dM1NLpHRCTspZnuJtj2ShnG/ZWiKZ58Fy4DDfG+QrPOJlJAjESEvFt8FDdcGNjrc0cBDnHXOspPOeXAexfL87UKXjacRurL4h88R0TugNQEHLEalXqLZBDOoj2+jdhOQ7eh0G0i5KEaVPB/q9SvSCymgRZRq9r7RagI0VT/RCUCOVM9IbS5wJcbA3zSkTjuaEKIOFGZwQ7z3H937Xx0i18fT1z/G+d71AlMBXvOc5Hj/ZeDYKbx4Fs0zpnZvtzPHYmbxDJzhlo7y98rM//7N8/dd9E2k9s0VH1AE2bnWAm7N0jD04xdx9pt2OuF+Q3T22uyO/+CPfzy//8v/FyzeO6IzDAtaFpxlKgeY8wUdmCXzoS7+ENx+9jkuZ/ugzLD7w+EIvoikaH9DimcngM+vnON0deTmfUHuRnvaE2Jm9jgzlxT3mLKI6IC45NGIX1E3kkrFlHk08dQid3sddaoxxqJRDuDSoMk0mGo1iedhfEbxWxPZoH4KqYxCsgI9XQ7QYAmFZaH2lHBOtb2j07JZ7tFZwccZF8Dqj08T5FGA9YWlFXcScQogENz7i0saFs7aCtJWeBqMADYSorNvduDk4F1re6NsYMg2jrg2leatDOxN3FzGfZ2h1ZWzHvdFDwNc9dTqD6ogDxngZ3k3jeIqOTANjqNqHILEOa3I/nwhig09blgsXw1F8xfeGyoy5SKkZJDKFC2g9BMxDL51aC301SlaqX3HO8H7MKYI74Pw7zNmE64HWjOb+CaRbCQYZKmdaCASbRiPCOxpcAsIy2iSmlFqwMiGxohpQSVCMVG4R3dF8wIJjPR45bydqM6YwrlLVOTabqenMut2Nb2AbXMljWunJiIc9++Uhu/0VLijNOrVWYjfUOQ5uQmlUKahBKQVzylyHpkQ1EKYI0TM5j7+6ZhbP7ZaxcEOwRJiEyV8DHbVLG6icqD4i1pjkMDrUZpSWaVS6JWqFlJ+S7jwhNsrumrLdkHK+iBbb0IabjA68m4BLKgAhlcZurhjT2A5OHqczkxd6XnEeXnn9EZt6Hq+ZkuGX6uf48uvI3e0ZnRJv3HTOwL3dzProKZN0AtCacU6dF0LnP/2L3w4qPH36lNP5KcF1DrsDoOPD6TzZwFtFwsyyv0bV8/M//XN87Ed+iGfdDX4Hfg58YHfgtldOd5DLioQJ2c0cJBN2M8/s4emTt8inRJWJ8ugWXOPZ+4F0rOwfPsOE4KKDWnhwe8uj8x3WOnfHG4zK3CKHOKMaqTVTLXEVFw4SmCVS/LjjayLIHPAITnRUfZsfRzTAZo5FFPUBr1DNDdKYCV4DtRQCAU0r2RK9G9UCzmaaONTJON5RgXpGu0e04mqhlgZtG7r4LWHds+wiXgaRqtRCqxfFtlWkjySIuQgSEVtptdOyUexEzwoOKjOTFZgMZ2dI6xgsyaiDqRwYENvBPx0etXGBGO/fRNdA95XeB/Ql4AfIyASnkP0OkWG4EDHGDL7TpSEyEhhRBeYJ7yPSBC2F1QTvDXKnx0D0Q0ujWqFnSh38WVTwOKpmxAvSFPUe5w3tjZoL3ivONypjFhLEaC7g/ag5fyEfXxQLqxmIduiDC9KbkkWoFMLkcdbJrVCqUWunV+g1U8WhkxFroctGan3AGwDkQK+Zlu8QN1NkN7zoHbz3nFwcU/q7Ww7TgpMh9GsK17sr5nnHvLgBKEkOFxi+KOuogFPBtUjLK9CwXine0/RIUI86j6cjbkImN/K2rVJrZ3YC7kDUjt67pmwJdZ2aEporLjpyu8X7mbtc6PU0aD864clQK0+PNxQyh+Mdp1opeaN1GRQsb5SmxODoYgTxuDa+xzCPKW5ToWUj18Lk/SB05YT3e370Jz+OnOD3f+gD/NavfgIrhuiM9ULNI5qdSyOtN9Tehh7HG9trlf/wP/k3+KoPvUTQynmtpO0xp9sTXQtqwrJfEFvGQK66cWGM8PjtJ/wf/8NfRu/e5svuO168Dw9fcLy17TnXiWILT9yRzI6370YtdL94HoahxXn86JZTcTypN7x0EHYHx9f+0X+dq3fdp3bD1kSUyNX+wNWD5+h1w2odPFN/QMJCCTOpp2HATYqXE+HebkgAJeLcgnoHLtAtoK0M9xSCE4f3w3TRVXAyZgNdGdG4aR71UefQ5ml96K8rRn8nZO89nTru7BhFOSeJaI3EhpogZT8quu1MORsxenzf4b3Hdgf68UhvG2YRFztNxmurQJcZCwVrGxMLa4VuAfqwIosYQQ/YJNDGuWSXSst3gzFLxJxH3cgi0x2ow7Xh6G5VURWMOpqBKQ0mq9uNeJnJgNt4BitVoEujo/gpQr8iut0oJ6ROwWEtjaYWjqDQoxvHIXmkK7RmetzhJeLdcNVpscsZrGJBqadCqImejbV3zAd6aWDjpkl1NA+/kI8vioV1sFtGa6XRWWsmmEcvE1R755yVCFKBivlC6oV99Yh31OwogNWMC4rlivXM4hcqMhilMlNaJmdjmia8CthKL3W0mC4NqVJPtH4FzY+tVDSsDuDvrIniCsGgq5ClYs0GJKYkrBnOecxDcJHuErYq63nD8joaTxJYgmBhglUoodCaUeoJQ3GMbnXJK2sqJDWuY8D5iNcduWZ6NdLWkDZUzOiI+qzWsWJ4MaoYB6cU67SeaAViMIoOzKG6iZ4z5oyOosvED//oT5GrMU/KJ994zHPPvMDdk7fodeR3n9TGNCu9nUinSpyEfGp800udP/Vf/xfULVGasZ1Wcm1Yd+CUXbiiaaCkAjHgTOgMM+6Pfd+P8+mf+hjveQHcfQjOuCvAI+O19SmvHpVpmnj31Z7mhN0+Y30/MpoIp5RpopzaxnOHifmq897nXmA3H5Ay4j1+iXjds4uRdw86IOXmMbuH95kPD1j8AkFI58zxVKl1o5w7YV7w08W6MMk4ow4OlYhmR22JgNJlG4URnbEChQ3LMrayzcAbPg47r6Qjve7waiAdDTMdR5KCtxk3jaxyFJCaqH3FmxCcp/WVbTPKesT5QEoFv1eCHiCuVH+il4aSqBm682ORjzu0uqFJ90Ju4IPnrjWCJTwLwR/wUikExHlcq6Cebh1quhw/OKRHWql4reADFgJmfXS/+miJ0YycjtTVkK0Dw4VVqcQ24a52Y+HuhvYN0Qm/c0irWLmwAaziSkS8QK+YDwgRdQ0LYKn+P9y9W6ht3Zbf9WutX8YYc6619t7fd251paicYIq8pCRB0Gjw8iJEExII0YgkEZMHJYo+JIgPBsR4Q8hLIgFjJWhCBGNQRCUk5CGGlGgUIokRrBQ5VefUOd/37b3XWnPOMfqtNR/6LC3B0iQcyCEDNmszYe112XP00Xtr7f/74XmquENM1C6MUrmVg+Bj7oz7iX59pbQLcLAdZ1giTgazeVo2pgHku3h9TyysOKwpU72RNNGsY0GgCd1v9HAweuRmBbmXBFQ62WbHMoaEJCNYBZRRBcnKw7bNG1mBdeEsmeuY7M1rSNAPBpEl6GyU9IGGRL3duC0XZDSWbb6ZEhFJgsrKSRtJoZRK0oBZJdqgqSPD4R5zHWqEIjQttNY49gt+XNmTsMbIkAHaqcCw+eR2m/g6u+uM916IGulZ2HImpoSNFTclLgmTTNLMiMoYhnqk2eTCZuM+aB6JGsibzqO0g4YVQpuLa2vY62f0KPzlb37gS1/+Mp9/62+wauKIK+f1Ha+XD7A+EvvnPL6JfPWrb3l3ese/+a/9Nlor0Hb+xmvj9fWZoRm7FZbHMyEvPHpA4kKMzuUY5HohpoUlGf/RH/xPePfNb/Lpl4W/95/+F/ixX/ajXD9c+eGv/whH3fn2z36b/+YP/wG+8cXn3PZnHreNlIXgFzxkLkfh2IUPt8LHXoh0vvoQ+RW//rfxxU/9NYYn4nIipY2xLLyLXyLHjTE6H3IjLSsP25l0eoOZM3zndj14ef0434fjM7bTibwpq0VIy12h7bQQYBjuAzTiwe9yvk67gFBoHkkENCirrcRV54krK7CxSKD7dF1FS2iYLqawRmQcYDtBBU16n/5oBBvsYyAojMgM8hv+Ughu6LIxakEtggxIJ0J3YlZKHxMaM1ZEnJMao3bMdlJ4wwhMi4QYQwM+2vRPdcN7I5liqnQ5sAZIQdZEskTv/V4e6OS4YA6j7lgb7GOyBGLY8PPg3DIWZzPMe8KSElCad0SMlBMpnCcDwBwflRGWGQOOC2ZXLAdU7yUUU5orpQ3sEJq9TNCKvdJohPKM2I7mzigLSETuTOKoNs0Q38Xre2NhlTkelGSj0Ulh4VoqbgepL1QMH8ptTG1D8kLSjmwLOWyT8iSZMJiFdBtzNCpk5BwRAp0wx0k0YEM5rydeb1esNU55kK1io7OPgnqnvXybl7BwLme20xPp4XGqc32wLAsmRlZhjNlA8qGIjTmzVwfBKzE2qhiMwBid1I6JWzOn7gceJypQw9xVW5uLqphztIM2hGaDqAEP82hThxDinM/V9HRXFHfMGnaFQaMrJOIcuHamViXc62QUOoO9XYh+Iqow2GHN/LH/7E/z9nzmp7/x06wxgSrH/oLkM2TDLt/maXE+Pneevu8drTX+9//lf+bpq1/i/SF89v4L9g6Lrjw8vSOljfO7E71OoWFrg1I+UMZBDpE/9qf+DH/lL3+T3/tv/U7WbeP89ks8f/GRr/3gD1DaznGb8Jm//zf+Fv7aX/5J/sKf/+95X27EoWR1rnalufK1N1+ilAtfPkceYue3/I5/g4+t8PTJA9eXF1I6M7yzLgshBNqy8ebhicvLR6xBr5X1yQkm1KDE4DiR3m58KFde9xvp1Hj3RojrSsrTahtiI1tieEFc0PHzqpKGtUbLkWBOTbBZYKRJw5ewTLGfVJrMh3br0FtnjYEQnZgDXpQanGCOmBIlUERnjdAMj4oEw0dniE52aUpoOe477AVcZiNLHPNKHH0+8FVJWbGqU3dNotdn4pLpNslbYRhWAyJjmifaffOxbITuYHNXnpJNuzJzBy7IJPcHoQpYqYgYxyjEUYkLNGssemKE+wLeK6NUrF/pCiEmcopoTniOWHFSG8CMq4a4Ek4LhIAidAdvcxzT5MJ+XJH9gmucvOR6YcsbtU47h2tDQ+S8zumG5n8X1lhB6RYmHHo4xSeApBPYa6f0OWO4i4JUTtHYopKzEVYQSYjOumFrfe5qzZEod3Eecx5RJ62cJSE94SqMdhB7Yw1zEPqUT1xlcLQbzQtjKGYRK4K0SI+ZFCFuC9Umwd2GskbFulHN5/zjUEY9UJn4tLpXxAQnsI9G9EbO50mlt4D3HUmV/vrMzRq1dsSF5p1tO7Ho3BEgQs+ZlJ8I2yNLEG63C9acMvosawCiA3OhDmHR+T3FJRPyyvV6JTLHjfDG0ILawrJsfLEPgkPMs1628ERHYDnzFA+CG70Z71+u/OA74Y/+8T/Fr/3N/yR9CP21cW07+7KhywaSeHrzJUoe0IQbL9w+7tT6wtUDP/k//BS//z/4XaQoaIj4uNGL8fGoyE24vbxwOwqvl498/9d/jF//7kv82f/2v+BjFeIp8PqFcorG3/jZ7/DJWfj6L/kxfvs//9t5OZTbt36aEQcmzI533NClkFfQ2MAMk4gL7L3hHz/MU1PZIXSyVG6lUa87w3dkOyCcOD8+8PZh0p7s3kgWh+F9soRx+qj46Kw2b36NC4EJ0REqLgPJkdgzJgNvsxREb0hS0EFvO2oTiG5MJcwIinaZC4hNuLbHu5FCw/004+jmdMmICROSafRaAANxMlM3H3IgesPTmCjKWujqIIlpFZ5ZfmuzrGbmjPrKyIGYF/qtke8GAsdpDGR0UgC8o3ovraWCu3BmBZ1tvuADC4aGldEafb9SyjNyXHFJpKdtbiZiIPmJGhq1FsZ+JQcjn95i2/TRde5QdweCTbh8ZPIRrFPblVOcMfhuRrWKd2EhMvoMYCyi/68r09/u9T2xsE75nSP94NqMajrlagQu5YZX5+gDMxBxbFV8cR5HorSDdVkQnwIzJTDsRhmBVRdSgHI/ru3uxGxs6VNSnqMkV1HECiKDxSatfFsScVHKfiOqs9rA6kFB2HKfTQyNiHWSzN1AlEqXSPBZbB/eMRrUPm2VpcxakChigZo2Yjyjp40g2xxm3m+85J12u83IYwdEaFU4kjFGo4sTvDKkc0qNWxm02yvH/pF6fWbsO5oCbRHyEII6xygsHkgaoA2sz85oyg4O2jv/3Z/58zy8e8tf/fZP8SZvaB98en7Dt0dhScZRAy2+4aiFJTq/+pd+ib/+cx/4R37Nr+b6+TNldIauWJ2LxMt6YUtnsMaWlAG0Q+gUnMYf/gN/kn/39/3Oe81y8kZ7dyRlLh+faaPT953jqMDK27ePbJ98P//ML/+V3F4+8M3/9S/yjW98A7UrTw9f4df8E7+Z9PTAh9bYL5+jS+Ly/EwjEq3j5Yq0RB/GXnZe9gmyHtZ4KRfaVagpU3ujH9eJxB83Sim87hVK4d3bT6nthtlbtB13SV6n22wIRWwCzFvDXNElsDy8RcJM+kAFN9LSaQNMldCESkfEZ/PKDLlbAXwYJm3eHzliLrReQCbbIoRANGfovJFjvmuy5ZFVoZSCe2PshrdKbVM3ZMlRF9wDaoMgg95BwoHWCUMJ5pMqNSZJKnbH7aBeIUlgxITGQDej1wOXAxkKPiBEYL/j/RRJK6eUwQ0JgIeZELR5ypRS2Y8Du+x4KYTTxC8qczdr2CyD9EbrdSpZ6pW8KHVT7Nrw40Y5LjidmIRtnPHUSK2yyJn89CkxPlCs0243Wuss6gwPfHeX1Hl9TyysiOJRqYezt5mZ7k24DdhrQ3sgaCOnBMid+JR4XnY+jYGR41R3kOnpQI5APTqX9kxeH+i9zuK3C12Udh7E/MTLsXO7drJ1wjZTVB3hOA62bSOdnTESrb3QCrShVM2M+oS2K0GF2nayCOYdJN7THyAhk1SpftDrBFbfDkeWTHz4Gvn0hrCeEF3IacHCihE5Iby0wmgN5CCmE4pxlM5FnEMELZWVnceuxGRoa4xeSMHZ3j0xurLbjTUHQlLMA612brVQa2evg5SN09ApFozCw/LAX/+5b/P2tHDWTLfGd55fJ2g6BYo4wyqqkS3tFHf+0X/sV/PanHJ7xrogWokxsu8de//CZ7IwaiNuCUUo11cWCbz2wG/4Tf8QklbyMnd0aCD74NIP6vVyN5VOQPjpnDk/vqOVK2uKDHe+74d+mB/90R+d/Ny98vHb30BfHynt4Pn6OdKn/2uESiuOaQJdabxwOzq97sQk3F4Kt5f3XK2xLRDcsW7EWgmS0eWRZIOogxQNqTu358/ISyQGR4qB73htk+Q/Dq77TsiPc/Hzu4q6T+wfCRbJ6Bqxo8+H5R2+HVQIqoz+gvmCNYPm2Bh47YQ0UX0jT1BOTHPMyI4LPLwFdyQHtrgwLNC6066VdhReXj+iDksQpBk9QRgXMwAAIABJREFUGL07KS4QM7U7Rz2IpWLV4Och6GOfoQIJ9BDJPdBvLzRVdDiCM4JMslVS0AWxhorTZ3qGLS+Ex0dgwXtD7u9Fvx34aPTe8dKmumVdyfmEELDe5kIpHRvQx8FRClkDGhvxqNMc2w72ViawqXeCQM6C6UKNESuN7fRIWDJqb2ntC0psDOu4DmCC4r+b1/fIwipoPMMieBu4T7VF1M6DK0MKEpRtkTtZfZm1Vku45wlxIWHaiJ7oqRNEKPWgDScFoVibjSxASqPLhf1oHNfGmmBpiTCnXLiNnX1vbDEj0inHhCSb2axTMZC+kqKANFSmErt5nzdDMGKKQGLNU0d4VGPUK9vpDfnhLXE902VmzjnmGzEvMwxRt0fq7UpvSmRMOLE1KpFqTtyM3J2eK2nMeTxPCyEID+uGa+J0vRL14JwC12JcauW6v9JHRPpByiualZwDz8/KroEP18En60pW4z1TjRPDxjfff+DdumD5THzzRNx/hh//lT+Ot0CnYLpR08Ca0YZimqht5+Wzn6OfI8tLZFlPDBcYF7J1fuRHv47Q5uhVVII4t5cbBMErE3XnTMutBDQkTssj18sL9Tjm/1MzhutUWx8XuL3n1oTL9XmCPsJKiM553ciS0aQEWxBv2DFJY7FfCdbw8sr1MDSluxo8ohIRU55CQENFSqfsz7Tg9F1YolPrMXPt1pAw5YB+NKp3WrmQTp9gJVDrTqs7j1vi1gcinVYO9P+KUs7dr6oRfCp4uheKV8wa0QPDOhKUSCQtjmRQa/iolOvHOf7kkTIciQm3Qq+NUq/4XhkKPS/IgHG7EiLIw0pIK4xpJ+6t42NQx/RABQqIEfI0vHbNs3xUCqUWfDQSSl83si3YAp5PuJxJ62DUikoihzOaEr0FjjujVS8dW2awIqyPnNapok4hEGPCxDFzzCp1NGwchJzxMSlbtVakCKgRlPsDOpI80KJP/nAyujTiuhDCQrcAi/LQHgipIl7YsRnU+C5e3xMLq8qE4KZbJtuKH1eaG4sLIw16nyrnLc5hYCMQQyYiaAqzsy3T2yNSCSHR2gEy6eLXJtP1ZI3rMPrHF16ulf1a8dZ53DKffP9X0fNbikMM53lD22CXNuc0RSit4RiXfZoFljWQValpwamM1rERSAImcXJe2yDJmeXsHCNBnh3qnB+o5lxLJ4yGaGRVJebAiKdpYG2dUivxIU99N5G4rGw58elpJeRKDonY5oIQlweezg+kZeP19kz5+G2iRtALvTaOct/1nE6k8EBep8r6z/7kf8W3Ps7Ocw6d15ZwKm7KXg+2AO8eIx9vH+i3G/2LG73usJ6JviCtIsNIy8KoAx+FOASPSrsUOp2jV55ynirmLd4liZlBI4W3QEUfN2LpNO3IZCShKmhQXl/eEwjs1yuXy+csEtCcZnOkTlCNDaH0RuuRvdxwMXIc5O0tsippyZMl4Ua3Tisf6VVBOy4B4jwGe4pzGD9Etu2Mj85DvM//3q5ctBFrpceFptMhZppIBsMCh3RGuZFuHZbPMYuUatgYXHqHOMs56opKnekumYED9YL7jow5fdB6JbiCNKxWZJsNR9GENkNiw8pBK4UmlbVu1BjQGKnFOOyglY7dVdB4plOnRoaFsCx4XAm2MEbD6uU+rtWmG8k7up7mcH5YMXWsRbpd8eMA71ysIvVGXd5yFlBd0ag4ihI5vGCX9yyndwx+PooeEVGQRHp4yzlEuhvhnlaDgvjUBw0dyABUWGKENYLDALCO2AxvRF3vMJWJBEXmgrmkMZtaYca4t2VFTgo90Mc0Dqe/GxdWB0J6y/ktSLwScJpXXDY2PzP6bY60BCXEQBBlS7PrjQ1GdWKeql8j0oeAT0hDGwkPg+RKC09k7ez7K3u58PH5Sj7e8/jukcGXGCyICtz/naaVZEoPHUzQGDj6NH5G7egt4UtAJWHe2Eun9mce7ERCWUOaCpk+Jpz4dCKd3pIfH4gpMYqQeudmhYzgVqjDiEPYh3C0holDLVhcYVFigtOipNR4DAtrGnRz6uJEGWzrgmuYmpaw4lSi6Kw7bRtyOvMur6wqeLnx+PaH+fzj59xuG9EKl7rx7uR8azc8RkZ55Skmvnh9RZPy+nGHVzi/eYcN5VUuU1iXN1wS1XZ8XCEk8j1q63SWMDv5IZ44RoExZtHEQPrOcCdphAwLglukNiNIxPug9iulFPbjQq0TkbfEFSUz8gr2kUgiE7hE4/o8aPWZ7bzxqU776UxKBfo4KMdt6tTpZBVayoS0MIISAfdOSIE3eUVVKaWQ7X5srXFiHL3TSsNiIrozJNCHYmx0lNErvk/nlo8GvXM1QZnYwG1JJHdkXQgqrDjSjGEN047L3D23Nj+XGJHaObSRxiDlmb8PmjCJ9Co8H+9RSVPop+sE9yQlhwU8ItEZRcnrLL/UruQgE/4+HLwiUqFdZypMnMyJrBkJRm1GOQ6GOR4i++WZl/0ZPQxdPudd/0E+/XJG1wdCVZo3rDasKVVf8ZAxVdSnvVhzIC6JmM8Mn4ZmrUod466UN4IETKZ4cUQQWRhEojS6GUEEtYBHkLAyXAkGpJVgEdkE/3nPGY1lfUByROqEao/Wqe3vxjlWEdL5jIaFNWd2rdzKjJm6D7QJblNVO5Uic3GV0LChmFRsyJz6HkDtNHMIguYNaGgMnJcNNJO2T+i6kMIH7Oq8+b4fIj19FcvbTNkEI44xa2atkuJpRkTDwbi8zJupzzT+o50Ibtid7nTbX/GlEWNEd+UYjVrnIPzjw9dYHz7ldH7LiFOzsukTXmY2vddG7ZPsHvKCbydSn0R4iQ3Cykk6sR7EkRhSaa7oGNBuU3PcH4ga0Dr5lMMK2xLRuPImvSWFTEwzipN5RAK8/eSH+Wvf+Wm+dnrkzaPSj4ZKohxXHpLy6s7G1B0vOfK7/vV/lnM4s9PwVFkwoqyElBEJvPogx8oaIOSIauaUT3PAPVSSnxnSaS5s3udRUEF13hhBBrkPohSqRgING2GmljyyrG9RdbqBKBhtRkrTypKEB1OqBy7v36OqjG7UEfFa0N7BIz5JtkgK+JhzvnZaOcmCaGU1p4lxWh/AnLQMpK4so5PTZAhMOfMMcPZhNBrCSidR2j5/rrt6XJPQy4L1gvlc6JIPkPlvLGJIqoiNGQpoAc0+x6WsYSrk3ij7oEXhcQPxBVvT/z2/3SdX93J5wXXh4a3A9kTQBzg6LJA9UvMzaMJTJMQFF0d0hnGmXtsxWdFxowa/R6Sd/ai8XJ5nIzafCbJQ0yO3D69cPvsOS1DQxJZWxDuqARs3/BhUmbVR2ZQlP1LfCcKYdWcxsEoU4cCIYQZLfFTcfRLBXJAYiDpj5Tac0RRCZpQrwwvldocXSWZdF4JMTdAQwQFLjhTBA3MEL3fyDj0wffPfxet7YmF1h1YPzqdEShk5KVkiDWMfTtQFaXOH2kchByXkuc2v7gRAx6AHaK1yjELvRoqBJQZcFuKykpcnYk6cHg5OpzMvn3xA+i/hzeMTj08baX2YIN1iWKsEB0dYLOIK1gen5YGrv9Jq41IO3J1hgXPaOKwQgtDKlX0/YcOxAGMYpTrnx0A8nYjbIzIaD2ub8IcA+96o40Y9dpTOsj2iMcKxo9rQFIAO3Gh158OHC2sMpKhkVVbmUPf+8bNp1NwvlPICHthcOZ/PLA8PxHWltYGMhh8Xvvj84DIiUYV3K9CMKsJ1dJa0sLcddegyeL0J/9Rv+AdZbp385YRV55P4QLM4R2ei8OnjCbGDEDbWkFlyIqSZjhGRuZtICrISfQ5/91bmaA3GEuYcp+WF4UYMcQYmpEKJLNuKW5hj6A6jDkYzctxmXTucOMUnfL2x5QdsvILMuWGxCUMRc9JyZl1Xhs+joNlUW8c1EEej1RtrELZTnot5cUo7GCocY05YaDqhMk8E/Q52vh1XLi9X9LQSw8p2ekCyso7IkUALlKORpeNieBuoXfGUJ0PhjrAeDjYSvRvD5q5/r3XGUodQjkbMRsQ4VBjhwA3EEhLmuF0AcoxYA9t03j/uhLwRfAJjJi51jomllHAPiC+I1TlRoWl25NvOsVcu1w8cR+f8lNDlgdEiNgKtCbUe8O0vSMuZ4cbpcQXJcy54FEScJWT0HDkvT4z9hVIOWr1QtRNx1CuiOkMPkubI4n1WO4wBFlFvWBO6O60etLoT2kEdN6RHqg6eHr9ENqaUM4CHSOTMiMaUHjg5bwxJ0HbS/t1d074nFlYD9v1GGgfmDRljzqgOR83xGLHAPVaZEFXimL/8U1YaHe6F99EDZa/UeuDhLWuKbOtGXh8IywnNaR5ttsrD+S1NB+cU2Z4eIJxYzenjoB036jXQLDDsStAIDPpmPPjGq4HtO9fDcDfamLE70wQk2phNgDBmdzInh7hME2ua2fLadkwHqxqDyrBG64V3yxt4szHawfH6nuPjF4xxTETbDg1lvxlZnbRubAItCykt9NsrUT4yRuelHIQQ2JvxlCprL8Bsuo0BX1wO/uB//Md5+7jwEOD9cbCdT3y+V76+KT/z/saqAdPOfhn8vt/9L5JPZ7BKt47kQByzq2oMVAwPia988glukNKCJ2EJARuB/fI66940QhAsRsw6fr2gSRCEfi6ElGliaJgNjCUsaMy47Eidyh6xiXJsi6HHgvug+0rOK0+nwANnjuVE90/nm0wTzaG3io3GeVnRvLBo5uaD1g1HyT7oY+ACvesd9OyULlxqAQus0Vi3L5G3lWSd4zgQC5hBsUJ3IZrNQfwoxHSixsZq8wiMH3h5ZsG5eaceQrSdQCADw5QWMikl0rIgtVH39zQUV0XISJxa87o/0/SGSybkBzQGTuEBG4LKMjdwEVSUo80SxyY6pYM5Ie6oG5smeprhhaGCV2E7v6PRoN1DCLZj3dGcEV1okjkS1JjR8wktmUs7+OzDM0dwvl+/wraeGeGYI1bHAemVpSQ6r3QbeN2xLpg2aq/EJaFLQuw+GStjojNtoN7mDKplRouMMjdRrR708oFSr4yj4yHSTTl1CNmICiEt5K2jMc/abkws2yNDb5N7PP6WtX3/n9ffjEHgh4A/yjSxOvCH3P33i8gnwJ8AfgT4aeA3ufsHmcH/3880CdyA3+ruf+n/7+v0vXDdC1kPwFgkMKKz5EgfU0vRTWEYMQDYfFNoJNiKyYH0QW8NkYFGIUxay0SUPWzktNEwhETURFgGZ1c0Ost6RuMkBd3GMus/MRAyjN3xvkMInHqnbxsmM13i7QKy4iRCTLhPLYuFRDHBTdlOZ/I2oSiDxjhesVrpdTZYwhAWGnUU3i4LX/rKV4int+z7zrMZ5Q60CDaofaZg3KAajNcrclro5khVsM7e9zmmY8JoN9ZHQdMVTwuPUe+7O+M//CN/iktxbnbhK49n3oTIF+UGFvkr37nxJg40dn76p5w/8RO/lxCnPaEfjdYnRQu9Q0eao3HeFJpPmM3jckQw6ROZZ52jDfJpQ3VDtWGq0AscU7/jfiPGB0JUhkeURBPH8FlLy2lGLFOGGEhjsjuHGUEypoGwLmzLQloXRnGaDfK6MEOTwogHwyCvC9tpZbXIfivYGLRRiay01th9IMcrwWDvlaN2TAyRE5/kzOnxAWsddB6ny9GRY6PY54TiaO+zaVoPIOA5o1nRvoMuDHudkVjrjO5YytTRcEt4zHg8IXnBpSLtPH8XRDZd8AHXesPbBesNiY/o2xMpR9xXejR6aKR+gxzxsE6+RR/YMGKOJGYYgWrQrohEYtjQEKnr/Jg8QIyMMTiHlRgfaK6gkUt9xa4HsVZi3hixk0UopRA/vPIhn+lyYs1nrDZaO+i1kZtxWs84DauFcXSGT2CRqsNwYkpzPNJmySV24RjG3ipmBTelWWF0Q8ZgsOAUanklpoXWBqNVRneKQIoD8Y24ZDQb2e8R3TjTWD/PK/luXX8zO9YO/Kvu/pdE5BH4n0TkTwO/Ffgz7v5vi8jvAX4P8LuBfxz4pfc/fx/wB+8ff9FLcXKsaL0wBkiAYmN2fiWQc6SURuuC+YHXhLuzRUEIhAAumayZ4a9EC1zMcOaAdFbQYwfPLDFA9GmxRKB37N5ICQ7LEtEq7G5s2wbHZfI2R2N4nblz5hH8aTtz9Hd0AkGcZo0TDZGZgHmtc7etvbOuD7S64x87pES3A/odFCGB0CBq4WF75Pz0KU2EPCL5/IaHkJA+FwP6oAgsytw5lp3ad8Q3iiXaEPYKSieo0lOk7YboK+uSCQ9nVgXTSAmBvR/0j84PrZnLaNSRuPXCuwjXrvzKX/FL+e3/3K/i5eMzD1/7MrHOh1mKmWs5uNVZC6+iSO+sBEI4k9JCtcbQKaajOb1DiB1XwdURIjHe68tHptVpC5XthuoJ7QdVBj7WiexzBxPWJU/PWI5zR36ZsVwxoWdhiQmXhfSwEOMgi+FpHn97P+gxE9os22jeSCESY+Q4dqxVoi6UVhkvn/FaD85Z8HZwdCMuC5HGEjrvnh6x1tnWK7UPbgx6T1AeiUnRrByXV8aSCfGBYDsdQyWii+PjTCSjuiOxMXqnk6n4vXsvJJ/BAT8/kmIjyyM9blCM+vJz7C8Dq1e2TxfyAiFnRlcSFWsDpyJDiSnRvdLKAerI0RjZJp1KnFIPnIzEhOiZ0a5ogMAZtoBqJLNykkG5vfD8eqFebhwfvkOvg6TMU10KJMlcKsjHK208cMoDqa80t5mq/Pg5IS68fXqDtRvj6DTfOT18yhK+hp+F3hrDIOIMV9po9GEctVHLlWGQLBK3zLBZxw95gQg5CTkqzaa9YXHnGFd6a2znwsPDAx4jBaP3CaSv/fjbWT9/0etvRs3yLeBb97+/ishfBX4A+HVMFxbAHwH+HHNh/XXAH71rWv6iiLz9eaPrL/5FOpsdSMoE7zSgjjZvlOZoPai3whCnDqPSMBmUHtmkkHPmxEKPnXFvUNX9irlgptwuB3lxMkKwhRTfEkLAesd94KNR9hs9zfhbrw3xwSiXO1OyMXw2WHwOeRG2dUJTRiBbBDqbzRpwHced3NNpw2hdp9zPnFu50l1oY5CXQMrLxPH1QdaAK3QqcTmz7wZJeKsnQniDeKeNyaR1BtIGbb3MUR6NWClgmZgduWPTRu+sET5ZF06nyOJQys5P/MRPEGOihhMaXvjfPnvh6199Qtx444Mf+r4Vt8jzLvyXf/K/5l/6V37PjK1SCD7QMIhhzEBAawyHehyMZISwEC0hOMEbiYFrR1MnJCUtcI/3ALNrJVEZnu7M3UC7FTSmeaRNAffJ/QrMWmGgEaLg3nHpeO1ocIJP0pKIY2MaeI076DkKMW0sywlNkVPaCDjBoIc5snMaG2OFT8IZ9Z2Pnz1TbpP+hQ+yDRbVSbQqV9BEDMpoIHQSxtunlSQb2YTSCypO7fNr5wHFZnNT8sYStrk7rTeKHFirtB5xbaw9z59PJ9A9xzec3r5B5MxlvzEuK1Un6zXIA4RlWi6C421lxBtWC3ofcRrdwRX3g2GK9KnoYXT2/cqoN0I4QxzUYjQdpLUjYWM7fwpb5myzpq1cOfb3HMdterrSnD31Lnh0xjC++f7C48143DI5DkIr9N6pMghyI6gTvHN5fab2Slg+gXOcM963ywRgD2d0QWJCpRMkMOoAQBedAZttmh1KKdRtRXImbw8sORNixlzYr8+08sK6fgI84KXQxqC1xmjjTtL77l1/SzVWEfkR4MeBnwS++gsWy59jlgpgLrrf+AWf9jP31/4fC6uI/A7gdwB85c2JQCOJQJgx1Jnjr7R24+V2UFtDg7Otbyk0VodmlaVOZF6LBho5hZXn9sq2rDRRRCDboNYXrF1YH7+Mtx2Js/40RkfKhdoORCaIwRlYq7jPoXerBZix27xkiDNyqJoJQygN1FaMgVVnG4MWEiNVgk2RW7F6d2pVXo/L7PTrGzQK4oHaDo5j52zK8eED8c2BWiOlhbRGJER0DBadwJrRZsa8FietgaOD5o1TK1gwFp3AkSAQaJyjcVqWeTxsEdeFD+8/xyTw8HCmfH7l5Sszo/7LvvLITQavZbCNiZz7d/69f59f+w//A/zYr/jlpChId7rAJoPmjb0ftNq5HjtrE8LSOAchUQk54TaFjyLCOXTq6DAUJ4JESh+EOGldMSTwG+ZCVkeTY+5IAfN27yQHGIL5DF7st1diTCymmESCTwODxYiaT056V2JSzqdHvFzxqFjdOcQBn5zRMPm/HgJL2FhOZ+p+m/qU2rnUxsMiHPvKettoYTDGoNaD2oTeXtlkYz1v5GXjqPeHYa0MU6p2chdcO4SMx4DqgLDRjk5nUOxG3xNFdtaQppdwANJJcZls19a4xHvwZSgpOGvOWJwx2eEHsR9TXrg3PNzJaB3WsODdqOUgakVG59gH19sLkUaI613FokQTNhJ2Osi6MfqN2Ctlf6WUHRNmOMY6Ihs2piG4tM77o3PsBWuRxxzIUTisUW+vGJGks1F5uT5z2wvbm8qX90Y8CaQwaVkixORYHeS0EB4CGmYfZc3xjlicupuclfX8SNbIeTlxPi1zUqgP4npit4MowhIW/GEh3tq8v70y/k7NsYrIA/CfA/+yu7/8wpqEu7uI/C1Vf939DwF/CODv+YFPXMc9whg7VQJB1+lv6p3n4z2tGOdT5o2M6RTC8GGIV9qAoBvig15nXau0OlMY8USxHelQBUK6sIbZKHEzfBR8VKTvk3xjFe1GCooLd9HZIFhn3EncUYVtOU+04VDcbdbSmiCiDE1Y28kRPKxzx2vMhVtnDnqvO7rPOcO8BbIkbv2Zo91YWkHLOoec49xWhABBde7eqiFqCMoIQooyXVsDWghEzZzzCWIgUFEJnGTCaVobPO83ND2w6EdyNF5q4elr75Dywvd96Zfxs5//HxxihIdP+Zmf+Rbf/8bw6ys//qt+FfuHz2njggoknQuR6hzQH12xoNxGId06lcbK4Gk9ERLE4CRVxpjQj2qGjZU6fBpybfAQ5o0pKeMeppNpTO979x2vU5boLVHv40ytVPox7aBuN1aP0y8vk9AVUsJ0MHyZPiVrpBCQ3ikOeEXTXOQlVnDBRFnOC4/2CUdc4PWVj+1Cr5XPWiUuD4TTO5rKtDaMQKk7exUsdZJB8U7tszEWVFA9sKg0H0gVlm50EWRxVAKE05Q/Uml2xfdHahYkQGqD26uxLi+kWhitoO1KaZWQwcfcFAR3qu0EDroVpL6g+Uy683+XfMYtsF8/ozzviF9AFi77K/vHj6hWclwIuiKr4hYYSTluglgnR8APEpW8PtJvFTsr6hspKE0VmiMh8bQMcg7kCUPm6NME0jUTm9FHxSwyWuR6vbFf31OPL7NcPwI+gfJZ4JgN7qRO3BJrSuynCs2QkLAYCdaxviJeWdNGSrM2vGhE44GNydbNS56C0JBwrQwm8Hz0vwNqFhFJzEX1P3X3P3l/+ds/f8QXke8DvnN//WeBH/oFn/6D99d+0UtlHo1V5rfjpJnaWE9s9sLTeuJVCvnuOMprxhs4B0MDMowexnxSlsZr2Wl3ernFTno4EQBBKLdnsIq2HYZiONYaMmwCfRsMDrIv+JgdRQlGG3PX4P1K64m0JlJYSAY5KbduHL2Sc0RTxm5CbQXxgYc0HwLLGfFXTjHyviaO48aWV1p3NDgLacYTy87y5mnO3gUn+ULtF5IF0gB6Iw2jlcICM7IXAyEkXEGDEWInBmchIjS66WxceOd//At/DhPlHARbFPcV7zt7eOB9/4KqkYtB+9j5+g8Ia430E/TjIykUXAXTjoyZUFLV2fR4FB48YabUcqGMHbxDL7w5rXg+gS14v6EEug9cNroNWq/3GzMSQ5yoQ6ZxoZngKVFLx1qljE4QI7SGIlidsHGohL5ODF5bQS+YBsxOWIAQBl4bVue0hIVM9gEMvNtUOQ+l94ESyWlFHwN5WTBR3nTnWz/7c3ysF9LzldOXO0EHQkCsM6yx98atFCDw5A+MNhg+0Y/msGgi+sJuFw4HaUYakcDAxnw4DAZmmaEdH4qOwKXvbO3CBSOdN3odHPsLS8r4KNRaKS8fyOc3MA4oV6TfiEEJceN0PpPP7yhN2Y8D9YyI0w+jyUEpnUOFOA6EDqlDy0QPtKOi8T5knyOtFpb8wONpQryLD6wcHNYJHpFFedSBnRJLmLCWFOYCerNXQlxJcR7jdQ2k/5O7d3m1rd32s57W3lvvfYwx51zr2/cTc4JgQVIQBLVwwIoFEbViIYVAlBjEkAS0ZMGqFUv+B1oTREuJIChYiATUiogBz+HkaDy3nf3t/X3rm7fRe3+vzcI7c0zBmBPZ4iajsmDOCWtexnhH7639fs8zHln75BV/8/4t5ipRAm5NOLdQmLfs0TliCGjqOPNUmUQrsTYTDguk5UpoHgkR3/+v0Z6VnTE+DMj3HZE7x3kn55Nx5HkH9Ut8/HFSAQL8x8Bvmtl/9Pd86q8B/wbwH378+1f/no//FRH5z5hLq5f/x/kqMMzookxG9PSax5BQ77EQ+bws3GJAfYCgk+uoMn025qjdo23mXOvonCXPGWuMpFp40I73G80VrDrEOr5P184w8EMpoyNmDOk4ifRRSKp0U+iKU2PWE4w0PJQKTpHhZyykj3l74yJeHf5iyD448zvaZKIERXDpypDEMmzeQtZjwj6CoimAzWZOOTMaNpzzdM2MIvMgsobWipzTyjnUAR4XOj5t08E+Ko6CF4+pQBt0E4p41AZ/+Ie/4H/66cHmF0IvXFNgXALSE+nTn6KPnxLLndRPvicbP78f/KV/+99Ex9ycd+vgF2oXuh4MMzQGbs1zWVbOAbt26r1yHDtHuzPcn+AWLuyt44fDxivBPdEk08XBgGbGro1Pwc96qa1g0zVWu+E18CadWoV7yXQFWiO6wVOaV6b6cePkl2limPCOd3pTRBSxgi8n1QbLeqPFqbPuqvO2WcAZdDMkKmsMLMvv50VKAAAgAElEQVQDMQSCCxz55Ouvv+bROox5u0xtVB0MlCN3zvfnSUPLO5flAj4w7CRyQXFINEKNk60wKvRCGRMx6Zzjlr7inTwD9sxRQ8uN5/JOG51LvczXjSjOXejNYb3xdn9mVSGIcPaKjkbrA7dOnkX0K1VOUhmMWCcE242pyVkjEn+AG1NBhFWcNEZQLJ+8tG+opbNEpdWZAw3bjYsmXDnZa0ZyB7sTLpeZuAgRWWZxIbc2m2m6oPUk+MBluRFvF67bnbDFudvIJ+e70rzn6mWacXsj1xM3OjpWFu8ZfUcloNYx89A627LA7UY9D6SfnMdOft/JrWISqe0NXxvxeMNpoJcdumfPrxzH/Y9/av4xHn+cK9bfAP4c8DdF5H/++Ni/zzxQ/3MR+QvA7wJ/5uNz/xUzavU7zLjVn/8H/QfDjF4L5hZkdIIYbRgLFRcqsSqWBk09YkI7jOEd2o2hgoZAJ9I0UqqwbI8s8ROVMZcMeIbzaDe6NXrJWAe04nSlmtFbQ11EpBO8n1bKMRcWqg4fEq4bxygwplsHhE6FPkPQNx/x3hPWjVDntnXVxmgzCyna5/xQlce2cS93jj4g79yHw9pUeVAqvp0z7sWCIB8jCabgTR2IMnzEap3UeFWcghNByiCXMhXIPkwne1VEO+I83//qB4Sv/w/UTyD4e2lcbeNT2nl7/imP10eWsfDNz36X+7jyJ390cl0io1VaK0hyoCu6KloGQaGfJ81VSovcnMcvgWN4rCXe+jnD3F0w5yearwkt7KhbCC6y9zJrsL1yNsdl2KxNtrlJDnSCiyw2yDqNp64ppm5yHVzBoyid5ANhuZJSopV39teBb3WeIWPmpEXHhyrHICZcgpLDjEhpx3mHX65zFm6zLaR+Yy+dzuC2bcRmRMt0jeiYLbNxufJmhf3+Qqk7/dNXfPbfnyB3Z6zRTagMg2MMQu0UK/T8TgqNyAMk4eI22mhzlj4yopUleUY3Wh9s5hgusMvAXSYDduSBd4V4WYnxYW7Fjy/c316J2xuCw9w8lHzvrEsk61zkhDBz3D7MW/mcvyP0E3GRmo372ztHERbxNFW8n1f0XBwmncNB7hXnEw/OsWxXrtcHghucpfPz51f21uZCVZTnvHOrgUWuxNsPCGmQyyur17mkCpHROuTCWU+O92+pThntoNiMuN0SmDPuxwunRbwqi81FVD8Ldd953XdyVyR5zqKUt29ZbhcucZnlBzXi5TN/RGD6JT3+OKmAvwH8/Sa7/8L/zdcb8Jf/Yb4JVUfwV8zLNKISWeMkDD0inMs5vUXO0UwZi2eUqYmGiMUEbiVahIeE1YTXQEw3cq2UesI4PyjnMwWgpgyL9HbS+6SrW81sa2AgLOHCUdtcXkvHyWxRBYvzyrbBfu4MPBIdQZUsjsunT8QYGcURtFI00KohRPq6sviFVnYkLQwxrMF3+eT1S8XTWVLCyhsjeR5UqRpwSXHLQm+GyKykFhfxxzunM0BJveDd8nH1k7nnO7aDD4HSPQ24+mlSyARUhUDjzTxrGJyS+c1vC7/2tBP6GzY6PTxQz6/5s//6X6LWRq0VcRDdgqWAKx0fZPa2h3HcM3ns8xY7Ola/MMLOkO2DFzrZu1k8R1M6ykUV6XWaHbDpli8FfyrCoA04y8kpnuCFcNlY9UTdSnCOuCT8ANWdcryBv+ExQpgUfuITUQbna6OUTBSHiWeMjNadZpXoFExZogdpdIVwS8R0+3ApFUbv3GLkh1a5Xq/IyOg6ddJGQ82zeUiPiU+XTzx/AfPzucLo4IW4eFKaGhJyR1vl25HppdJqphwHdjGkLODjnMubgWQWZzyEjRZ0HmgYPhsxVE7zpO2KCxF3e0Aevjfpb28rr7XBW+M5fuFSDFuFUDutVWqbO4SQFiStpPURh9JaRg+ddXI6WS+8PR+cL99gfTbslsvK5TZLEmOAGw6tg80Z19vKdVu43lZSSLy+v/FWOuZOvHjeauU9F376s6+paeXh8kh6uOLLI1a/nRDs1jlbIe/vfPvyzP3tC4s47OGJi4MYIbvBGtZp/Lh/4WX/Bnn8TCmFOk7OdlJrw8JnMCM4j24/ZltX1mXlqI2ojmVb2J4+/8McWf/Ax69E80pVWa4Xcq/UzpxZEfBe55N8FMaAKv7jcxV1nXIYENA6WyTWjSgOt21IWBC3sC4b4+6ph5B5px4nlwDJzamr2RyoD0kzTiXgXJgzLskYjmEKpSPmqFKx4Ygfi61qDakVXSJBJ9TaVsU+4CHOIAhkKuu4YX2QFg+WWB2ceRAs4i4H1gRdFoZWqH/3Kv5EZKWr4INnftvzkOkmEwd3HBRxs3fuPCVnam6U2ugFig3O/EZeLlit/K3f+9+5qSFu5YnBvS+cNvj1i+AtUytk8zz2F/7in/+3kGG01uitEPQyK4YG3SqdgmMK+zAjH88cGDFO7oMLniRCCA7PjB6FJbF5P+vJMRK8sQ5PHcJBR7RTzgOXLpRWMUt47UQfGU656I2lZEJU0nohqvB2V+73k5EPxDvSvnGoIgSCX2Ap5DZmoBylW6OMyjaE1nfWKpgbNCpilSQXblvCLU+0auyWaf7gVk8SA7OFMQyzQVCHuYprgosL0TnSDxy9ngxZKCIkdO4OvOCcYj5Q5aSPGWqnVcowzpdX1tXw9SRqwGQQbLDGQPSOlKauWdWzO4W+c+HCCBvxuhK2B25PP8QFeBMjlUq2Z5oEWj+xcz7nSz0YNEQjzjkkbYSwYB40d3QIjjRVSZpYbk+U+sbeXunHTAOoe6eVRmvvKEJcF26fP5G8I3kDMuIWNAZCCPM5p/M5XIfx/P6Ofy+kp483N5ReFyScCLDvb7zmV+5vd/p5kMPK2grVX1jNTWV8hy2s2AK9Z0Z9w0Zg4In+EU2ZcpZpbIhX0rbydPlEd0J5eeb19Qs/4JH1Yfulnmm/EgerCJNhKo6BYzhHT4E+S4604ejMQX4djTIGvQ5ybxjvRMYMe4+pFPEa6CJ/RGRPTmjaGc0oNliKMaLigmPYghP7YH8OAlNFMWQyCqpMpYbROJjuoahGrZXSB32A04Tlk2qg7JgJVneO9zdafsFpnPSnccfJzNKm4KAvtGakkPnsrwS9EMVR246Ycp4nzhTBEdaEDx6JyhgNmAepp5HtpOeOyYLg6LXPUYZAbo19DO73QW0nkcbvf7Pzk08bFzn5O3WAJmLNLKunDOH9PEGV3/in/wku65TOSRWcj5OZm1Z661Oc2Aq1TcKXD4MYV+7HG+e+o0AIkUuMRE34UQhpISqU5rB2AWc4lfnjNEXdwLsL5pQwoIlMzYboB0zmyuk7NXSSX5El4lHSuLG1wbG/0yu8v7+jJXNbN9y24dMDZxvUfaeVjGuDMYSsBbcrR+3I4pEyM5+llGmTiJ60ROT03FtlTQu+J1wvnFWpxwlBieopNEYeMJQUFiQovSeQMPEsbVCykUpHPuapccgE73TDa5zg6jFhKLVXhIZbl+lbCzKNFSoMFwnOuNgnqinJJdz2wPb4fS7XK6qBdu30s6AxISKTxD8OSs6UnBGN4D3mpyLIpQW6Q11nhCnA9NGzpgcEparQn43jXeln44UvXK9P2DRJ8/j4yDVtiHRez3cuBJyr1DE3/L0Y26NDcWyLp8mKT8qG4drJl+Od0DLJJlj8sEapNjVL6sHm3eclRQZKd2FKAYNyDZ5awqxWI6Swou5C5uDt/Ja8v/GUNq7LSoyRUhrn+xs//8O/Tdl/yA/GD36pZ9qvxMEKs1cubUrx6hiYTVVHyxWrB30YdZz0UShd0dEpQ1BTqmTGfuK9x2vEwpUUdQKIa6O3N3rNVHEYGydv3LTjJdA+etN1DCKKaUdtkJH5ru2F4BZOzbgMzk2QiI2D2tqcX7ZMcAHpSn5/Jr8/I+Nkf/+G1gtBT1LPaF2J6cM8aYF7HbyUnXKvxPWB6xan7mKf2UfXOuYKVt4gRKofLFwBYdhsV3mE04zeGzXvBF3xvdGkMMyxpo2gEOoJreG9oh5uYUO14erO0QZSM28aGCOzOePL8cq//C/+q/T6ToyeZUuMZuA8VgdWMm10Wg+TLmWDRVfC7YLEjZHvqPMs/oqqIyaPMIjSAYfzAzOdPq3RGD7gfCP4gFPDrIHC1U9FiIYO/Z1aB6V08Iq4lejmmGP98BnVbvS8z0VdN464cnML0EmuYn5QT+M83lCZTqnuK1oKsU7tc3Mdd7xwvG/45UqIA+ljQkJ0TA1PrphOTq+4+a/KRsvPiEvUcbAsD1g3fJuus9Iqdux0nUkYNSOEhAsXHqLScNPPpjpTBnSSix/IvjB5CVTyWdEIhIWwXgmmdOexPiOIJguokYlIuhF0pY1Kk4K751lcoZIsMczh/awKh3WDD8ectk5AkWpoatxuj/zY4Dk88t36TH7/Djcg752RPOv2PdaNWRnPsNedYSdNlUaits7RDtwJyQe+etj4JAvrcuMWlNKeCa1Tyo67bqgXIo+0IQjKsd9RqdgQ9nyiCJYFL0oIYV5sOCWEDWeBsD1RRmcZEN4duWdEZmmm1YNaTmQctLzz3de/hwvll3qe/YocrIIFh2tGlANtRj4Pyhjkt1fO+o4YVJumyi5K9IElXcAGtRfsPNF1odEJqpiTj6reneM4OIFRoY7GogvdZtfffzwhgzS0zWTCDGQXeg94P68iogQsMTW7fcZ7fA8UV7A2tbxOKlYaiNFbp5TCfrzTWuOSroQls4WDsC2scYUxddT3YeR6kPoyRwwY+6hsEvF9zNt6v3Nlo8t9gsFb5xyds83ISdALLhh1GOYHqywkPHaZmgs/Bo7Oz37rt+ZtuBjH2Sg1YFS+f4mUnDm68o7xH/w7f47glREW+lGRdZniRYO675Ry0qwwTJEPp9gIyiIPmDTeTQjeIduClw9djQhnA3ENzNH7fDJXEZqdLOmCqkyPUx8EEVo0tBSkd449k+sLz3dhOPj0yeO3daYpomPpV3Ks7LWSrRNV6STqVCFAWhi940KmB099f6MnQT6WKgNI28CjtP3kpf8BNjxjCUSbenZGZeQxY1G9TpU4gg8BPxwjbgwriD4S1oA2o3dBSp/pDO1QFV0EgrBdL4Bytvrxc0/OhaKsblK8UkqslwXvImc28lkhH8SrR9eADwkbjtaF9/2NsL9MHXevmDmGq4g6YlbKhzRPZaXqIDrHKBmp8+dRt2MjY30CZ7oqTgf0wdP2RHQLa7rwMxf57vUF6YFrENbrE84JWOY1f4e5G8E8pSXaqLzswlEMzzvr5cbT48YaHthWhzMjD8dRjO36CMmDNx68J7rAzoKOgdcby7LMHHjvhDzYZUxQo4a50EYhrIi/EEPA7QdPlyeim7hHZ5OPbGaEKFzWjZfXO/df/Pzvczb9v3v8ihysM7bSF0d5FY7378gmlFq5728cxxtKYNsW2K6s6vHLSgwCzXM/jeIawYxejL2+s0QhigMb9FI+tuKO4AxvA6vGKW/4EVFrswopHYbQ6NA83crMro7BEhZqL2SZGUd0g7WgNaIUpHVkcyzmuddXwHC60Ubmngelv3LhyqCxNYeZIOq4SsA4yXTq6LQ6MBEe/Iq/eRJjQiL2Vw4rLP0JXQVreR5u5cRcxHxieJm51noi0RACIo4ugmwJPQ++/+Mfc/XC6DsPQXhvHTcGOhqLT5g2fOv88Ec/oVimljYbUaaEuDLuJ+W8U+sEV6gYpsqgEm0yYrufdyCI4t3MLE7AXUXMTeCFNEYu2NhRC/hkk1bfhHp+NIaWC942JApYo/Y7z89feNlPuihpuXA5b4RwgeDQNBA1xM+/r2sRgIEgZpgKS7ogpTHqO+aNoYNj73SMxwv4cZ0sXRcwg+dvfpcUV1qIDGYbqOfC2aZ1wIc5owz+Qu1lJi96YL1srLdP9HYy7m/k7nDSEPEQZi2XLvi0cQuBcJ5T/teV43wmuIUYwmwbeUUJWAjIuXBaBvFYh9AFTYKHaVHNJ/u3P8P89I1ZzwwxnBjdxrQcuISzTO4Dl+9UVWz/wsVNg6zlnd4r5zCSBI69EtQQ11guC2igSCW3yvN379zGIybwdgxKOwn+iettoxVD/QJh4aukfPP17yB6EJeVlJ64rBOMY7GzyCPfD4Uu82qe3ulJuSw3OobTJ2JQlnXF7IMR2zqqnmyz3BGG0m2+6ZLfENbZvIwR7zZcClO2yCB6z9PymfrVQc0H+e3tl3qi/UocrGaDkd8QC9Raec1vvL7cqbXy9vZGrXWi5FoijYG7fSK6TggrXQOuDbx+gK9b554N3jtyqbheuSSPOvC9MxgsNnAu0usJteNEMZ1b/2adKJ7mBrTBoGNjUFsnn52OzPyfGnEYXj255XloF4doI2nkGEZ3BVwkJMO5dS46CpgW2mI4n1hWQUMkV0eMjqDhjzQdMfLhUdoptXKWAeM7olyQsk+pWzlw8RFzDu8SrRcETx3lY/bV0FI/qPTK/v6ComwIX+eKNM/LnnnY5sH3Wjr/2j/zT5FbpecT6WAeBnEShY7ywfUc+A+1uBNPiw4rnd7rHEf4RkjrhB+HyBiCscIH6tCfBywH+8szbZwfL4J1GhN6pp4ZpxtjC8S0YlTiWbDwxuCk9kHeX9j3G5sT/HbB6omNCnkHoA+PHHdGSvgw5+hDB07nyKAhjANgVmZr6zMELxG3LcQB43innQc6OogibR5QipG2hZguWNoYNpc9IV1ovbBtG36dEOzjULal0prNjPbymW5jZkH9imsnkiqhjUmOcokYHc4HxM2Z61yiek7txNtXc+yFMUZHzsrws91kY5Bfv6X1zHH2CThKnhHchHNrmaF6NZbRPq50K+40XtuB84ardbYgsbmkEqONEycJlc4lBWSs9IcL9XjDcdBr4HV/5/W1ssRBZ+H29MjwCz/8/CPO8i21fYW/fwtxY10eKXGOa1xcicsKF08bB8ZA84ngoFXSeiMFZUugA1Tm8671CuYIUbEBGj0jN+77dwxdWY6DPjpOEzM6ItPkHDxOPEmVx/xEfviOn3/9j+DBOsYcJOPjnJUMA7+wV0+TE41z7rbvg+YKSzy5tQsalYIRtxsbhkrh9TzprXA/ZqWVcaI9c/Ges2VUBcfkSw4xdHi6m5U2rcLeModGHmKihsl8Nf3oLVujtExwkejT7JrXO70YhIEPDhHIvSEDkigPayIvkeuSJrKud3I/0XPgk0NMab2TUiB6SHGZEZjQ8CEx1OHZ4MgcrdB6h7viRqbVCtIQEUQjR+/TnlA6XRy1VCjCEhQZUErmP/1v/jq3qPQR+J5TvgueT9FTpPH+LvzpX3/id75+5vir/yX//G/8c8R0oRwnbk2YTa23dfAx0MZciuAEVxrZCUkTfnGIXbDJJgJxk9BERFQJ3pDQkdPwbpsNreGmTRfQMVmzRsG7RBaPt05wnof1E/Awkwgh0I+DGgLl3LHxkdBQZYxByXdKbqytsiwrXoUoBbODW1wo3DCEnit1CCEYpgMvg2jGEJ1RwBCI6zSf2v5Kig4ZAbcE3JIYHnoD1ON6ADPOkiELobepepFOGJ0RHWmNDLfNWWEDxFjbSQmzB68a6M0o5xvdx/mGuXRqqQy34MMCYf4t5HzhzK8EeWS4DTjI5aC+fsPrsYM4QnBclxUXEs4LSkV6xoYwekaFCbEZHopQGWBpapCmAwEbhTYOoheWZcWFBXPfn1eTrdHOQr3f+YM/+Jr1eqFYR9MVi5mn/sbFC/HTI6bGerlNrq8a1YW5NFsvBCCaIgZcN1o9OA9ladMa4KWQ+zvRO4IPiM6/t/iFaT/IRLfirWDnG9178Ntkf4yOmkelImECgjQEtuuFx/qJ6Rj4X39pZ9qvxMGKKZVIDFcClaUHWirUTUlpYXEdMc9Rp36ZcKHLbEv5MalJMVypcvLYPWk1rBqW3xEq1TrubB+d9g9YsDisD/KHf6mUTmuF/Rwsy8C7yIP3Ews/GmNMx46oR5zgtM2YSr8g4Y06Mq0pVgfaBTNF/MCFbWL/RCb1vlTwgTYqMvqMkMULzW9I9/SzM9cxbR5IKnQRcIM4DK3QZUcAF2+4fpkHfy+0VjhynV1sNyt/JQ+KGI+XK//tX/8f+P71K16/+TkPv7bwtsM5Tv7Ep87iN45NGG7jF6+Zb5zyN/6T/4J/7y/82akjFoExGNJRr3S34ERBOjIUvW7ELnOJ87G9bm2QmS+UGCJdlFELz687obxPOYoqLj3gwsCcflDkFbd4dBnU+kyQddYStbFdVi5Xw0yoKNWU/f7CyJXhp6Ik4NmtkY/Cy/0L6fnnPH36NR6WRJUXHOC8sKRHIlDWiuWKyjSiShu0423OHBW8/z4+REYfpGWldabGuWfGPmg2aJJo1ShnprQOr42HS2TxE7DtRGgdgg26GkEqmzeGZfr5jI5KjAteNmKM3O/f8c2X78jHyefPP+HsDnMdxEhXIcmGDUc1nQSw3hEt2Nmx1thNee9CzzsqjX3fQebI43NUop+54YZHZP5dffeIrkgKc0lphvRJLqtlqmYqDuMkrVceloDGT7Sa2c83fnbfUek8f/37rDh+EYSQFr6Md8I1kmwQnx7R7cIWAlX6hzjQM3rHe1hCwgeHl4zLxnf2wnuJ5NwRJ1ir7FWIMg2+6iYoRl2kWiX4gfNwmOJFZ/OQMWWErtDU41qbV/fOcVkc188/ot4+MQF9v5zHr8TBKiKsy5X49BNGqXS+BXcwtJGH5yZp/kLGSvSOx8vDDKaPQu9KaI1cnhGdXeVEpnhDh07IxZi3+dYFJwE3jM5gjKlYzm3wfpzcj4/cavKsHY7h2JzhrNNDQ5pOoSGCU0dwjhE7oa+o1BkWHxPhp26wuBtqjSIF6xP8rL4wUFx3iHlicBA8TWcB4OgZaTtJO8ntkxUa0wyKW/uIWAU6M/xvYd4O7dYQU5wL0CCkgFsjopmQPItLyPtP+YO98ePF8dMvmU+3FY5XYvSYBUo/Z0vp6Yfcxi9Yt4XXs/Cg04ApXem6oSqzuWZlos912j+X6OmqSM9U85zjnX4O4iV9fK3SaoZe6aXTXMeCoh1Wt4JPHPWOWMZaIvUI6uh9ksXGeaDRITbwYZn8hyFgjmNkrMGaHL0LWoXz3Dnf37gPj4Rv0f6Z7RJwPbNdr8RtwpbdOau6ZRiLD8i4U+pcUqaUGH2HOoHkUPFiVBXGfudsjYEnF+PebfrNaFyHsLfIiAmfEtWE3grtbXBLOydv0MH3NtVCy4XiExof0PyGP1ZceGQ04e04GfedPuZi5ql+j34tuKGUmhnjpHVw6SPQnzO1ZVYRzm1D+8nZCvU4ae3kFCP5xpIecGFG/zKVeg7Wi8f3gFIZGhhmWNmx2unmcFVpq8OZ4sLG9niDfhLuC7/2J8GL8PXPf5f69nu4PRKkUA5PWJWUlMVPEA9a6LVipTDGxzJpW+Z8tQK2I/2Vi95nM9KM1ozhZ9Sq9Y4LkbD6CX7PlSCevVZqa4wCxQsxCkHd1OfgCeI+wCsV12c6xW+Ba/hHMccKICs2HGFbcO/PyMhTkLfvHCkRk2NbNq4h4qLgQqLUzqh3TBQBgk2sWS4H0t4RdyGLIcOxpAR+gVZQF+lWGW0urHxIMBK9fiH02fAqbEhzODe44FEpBO+mFro4TIXaDNfABcVaAOZYA3H4GCZtXj3ahW6dI2ccgo+B3oXhCjqmaTONN95yJrdpSahqqDYkCGLg3CNDZ8vKXMerTur8mN9TaIL6FVsdaTiaD2AelcgSG+tl43r9TP/Z1zx3pf6iM75/MrLw3Cv/0l/8K/zB3/4d/uZv/ha/+Dt/C3cJLBGcLhzlwB9vlO4Z6onB08dcIKgsIB2nhaSeMU6GCWaVXiPmOuWcbzq9fEC9EbqfMSTGhHucZli9089JG3LrzG2qv9I9eA/lHNhRCElpueD8ldUJxXWGd0Rz2MjU7jEKi1t59xnpmSTCZXFsMSLxiveJsKwInWavE2gzZP5+vaJtYMNxz+ecqVtDNCAMTAwPnLXRWpmmzxEBw/VCdLAtC5sHb8o4d7oorRyoKvvr83yhj0x3wqYXRlIWt9HtxFS4Pj3R04X0+sjL/h3tuPP6vnM05TzeeHh6nMkYG+R6R9M7137l7IP7/VteX17QdWMJG90lrunKoZnj7QutzTFSLXc0VqL3qPcsvs8dhgAi6Jg8jXpWGrBsF5btAQkbzm/Ix25CxHN5euAfU1j9QMadn+7fwvGFp0+/zq89fCYsnqgDrNHLO6NNR9ZZhdCNGDasnhQrUyxpr2i/4+qOR3CaPhaKDvrJEDcrzuvcK1QbSAMdhVEbvZ/kMdt7PkD0twlUsjLn6cPwDFTjH82df5mPX4mD1TDy8XMqg65hunFap9Y8kWuL4iXiRTA/6AjBTsIwzqEMgTVeIQhGQGvgPAfEF1QXXFgngckArwybebjoFXELwV2xNK+KSu84n9j7IGwLFieWDKmYNVJTyqrUDFjD6LQyqOOg5oK1gU9Kqx4f+lRtmGEfedk+QM0QdYwCQ95x/ZhvKsPQHqZBVuEYBvVE3YLIOzocTQbRFpRE50Rrpzid2u4Yebw94jVx1kbOhcs1kMxhauyl8k/eBr/9HKifC6cJ4eKIP/pT/C//439HbwXvN25x4RSB45X0+JlxvvPl/Q/ZjwNxietyoatn8EDvA8eJ1J3q7qTgiVvCNOKDUTq0XOl7xdT4tF1wblCrQz30pniFbo5unXwcnNYJcaG5De9sHt4j4xUsDBRHt8aoJ84aYuEDPw7CbPa4tLL4xFIaY2xcl0RcPWFLhCUSwoKL1/kidxG3LB9IwgnGRhNDCyIOsZVhnjgag46TAPFGeFDaXmmlEEzRoeiyoq4TzSMUkEJwAe0FU6h9YLnSZIrzzHlOecGJRyQz3JToib/wdJmxPHs2vhxv6Afn4uXLCWfmdl1oQYh+TEkhc/n7/vpMze9c0kYYldUrW1rmdjwMbD8xfWAcnVp3Cp7DTloAACAASURBVA3Thd4HDyMxYN5p1cqxZ452sm3fY3t8Il2fZsoiKEMEWsWG0cWIMfL0+MjL41d88SsxONZ1xT1sE2Q+3iCfdDkYceM8Cg3PuinRDOmFZqCWod8x3/E2SDR2iSAXUoh0jNamxNFsXngEFzERSs/4GNjLzjgL9zMTgzGWk+gWxCfqqPRzp62XmYElwP9fPNb/Lx+qnlY67fxCp9NamwSqoPj1RrpcWX1kQpA8vk2rpNrAFPY+QcbXAc7DcILftsmVZMZsnBq5Qm0NH8D7hVYa0Sl+TdwGlG1h64IL6yRVWZjYOa8wFpxkkBMZJ+oSrc9bougGuXVK2+fmH/dROZ1V3ECiM2jeT+6oW3A222JWD0a7k3SCVKL/hMOIcQad1eaVgxKm+30k8FPQ17rR/MD3gWgkpsTl6QdIWPDvrzjZYbRpCjh37veTm/f8aM0894R3hnOJp9snHtcbT58f+dM/+cf5r//aL9D2yk+ePFtI7OcbwxxHhU3TlC6GGzswSqecA+7fUEYjXT/xYDeWZfqldCi1ZPZyx49Kjcpigqhhbc67uxlmlfz2wtmnHbS2QGttGjTJMDIhBNRfYDRCix9w8mmLtXKnqHykKiIpejKV67YySiZ6h7aKdSMQkFFo+WWWHoZMRxpxJh6qcMpAEWptqC8ztqcOqZUeP3LNt89sWujHiXXjliaEXE3pVKTOvr0xxYISEt4NzA6CTC6G1tkKlAMsFCwPdHnCeY+LARmdm4O2JXRsSJjg7hEbww2CczA6hnHmO/lslNZw/onVLzgGUSAsnsfRKIegweOXSNEGZSINXYwzH9oGqQ68N/bywpfnX9CKgT7w2NpEdI5JzhJ/m7sDL1gt8+N0NCVcuqLxhrkFOyt1dbRjoOcdi1c8jTEmoNu5AJLptaA62bLDDoZT1DkkGNqmeUFRJETWdUHMKK/P9HES/MZYVpb0SJNANaOcX3Pcv2PvyrY849KGhCv3846Y8ZWfsBhn0zn2y3z8ShysqGO7PXLcT+o+B+BdNrxTHi6Q0oXgdMZCDGQ0imUYg9xW3s5Mbs/05NnS9I+HElDXcOECLdPHYPQyA9iWsGhYutIYhD7D5JcUKW3m6Bp5VlPbzMqOmChW8F1xtmDMhUTwnjY6C50+hNBXQlKiV9pYME5wwuK2+aTUWf9so2JuwZVOdxkbGdXIKoqFjUYhScD7BS8ThDxMGdYJtSAeFm105xBzZOeQmrH8ikcofUK7oyjezRfd3/nmW7768cZn8Ty/ebwZ2Mbv/+5vozHwv/32f09Zf4weL3zalH/lz/y7mPY/kq2FtBCWG3H5zPr5ih6V9/d3eu6cby/ce+baBIkK4nFhpY+M0nG9YOqxfLI7w7Rj3XP2jBLopVJH/nhCDPZWkKPiaGw+Ejhxcd55dPNYnwyFwUxi1G6M9vFGFgPaKt5gcQNb/DzIesFy5ySzIDRTeql0HQTvGaxQz+msH41mU0a5985WBWdjsioMunZEF6o2YjS09Y+GmOAl4HA0sYmkbBXCBY+DUaAJ9MqwBhji/IyAlckeED2mbcIpozU21+mbEPyNdDFqb/i4EkRxVmnndLYFt9Gi5/F2I98V7yODO+3oyKXNVpd1smtQp7/t6i9TERQCee/o2FGbMr5zPzjediiCfcqc+51SCucQ1suVNc6o1NAyI4nloNfB6he++t73CWHGJV6PO/pWoH1HYiqIXFiIi5CbY7Q+r4BrZrAzymD4neGe5u/TCeb7FDe2gFviRGTmnZfSOe93rsvADyMsgeSU7OK8zZdIzd/yi30QtieuV8/r+xv0kyWu3C43zM1c+C/z8StxsIoq4i+4xXHRxFFO2uhzFjdxz9iAJAbtoEmjvB9s68O87RLjfr4RRsSbh25YVBJxeusHdPd3bQA6N6sa6XiGZXI+CE7wCN1Bp6M1T3mdQnEDbw940Qmxrh+IOm+4ICx+4/19Z+EzzTlUmQeLFoZtuCYUxrwSD/5D0jZlZy1dGK2RJeIUAtCls6pDbRDD9B2Jzg76WQ7UO3IWQoiIrzQDrFIz5JdvyeHkuO9UyWxxITThfL9Tc5sUpeGResdiZNQ78vCZ+8sz6fID7s/fcNTGP/uTz6zB8/72C0orMIwUb9PbdN3wccV3R0qVflw4/Uqub1i5I+/zRb9hWK+MXpAxoFfuDowZe6u18fZSCMEQZzh3IS0riqMO47vj5Mk2ylrxS0KWy9xy11l7bmIEU3COFAev+8k937m2gAsDZXBZHCFupOgnp7btWO5kOVBJ9JlIR9YFiQ6zPg9XGjImuEMl04rRh7AGZkzpfIX3k94MlTFLBaNiFXqsOBP8IowacMNT6CQf6a0TYoUeoCjdCtF5BjA+fF+aGy1lWisEE1IMKF+RQiXUTraO54OY1qD7QtDIGlc273geld4K7/dnSs8swQjnK14jQeAsc4a/JOEWFrYlMazgXEZdgjZdxpjH+QvdTbvH2+sL6jwHQjsq9fJO9DMSaK2T+x3twuKFp88/oFQjqzDuU92p7kp0gy5uNi0t4HUiD88yiMcdsROrGRZwV3AasQVW8VSJNKksbuI5qyRCSNyb8no/+T+5e7df2bb8vuvzG9c5Z1Wttfbe55w+7e522203dkwMuQBJJCtBBoQSEHkJxOIikJDywCP8AfDAC0+8gECR8pDwYqFICMRFiqJYxJfEJHFCMHan4+44Pn09l70uVTXnHNcfD6PaEsg4NrGM5Slt7bXWrrVqq6rWqDF+v9/387nzEVvsiDZrx8bAZO/wyz12ex6nXXtgibBfn9j3nf1yxU5CaL8LI629DfpSbpXSBvA41TGPuJeG7RvLwVNTolJpdUOMUPqVo7sjHIUpHZHauW4r0d+jxAFgZoQLeil0M4yPuRaqXhGnbDlR2xXvJyY74zBYMgWPM5WWO2ryyGsvyxiXa5aer/gYsGEht4YLHsVytIbaHK1XMBNeG7tRWstDUV0zilCIdKmjpkZDiDQqBcXoxnkvHJ2l7RbmaUQjdXi49gpzGDHRVgdXwWpj3V+4bGecncltH8ff1+/RCrfuuOdpF+4iGG/IFZqY0YU2K7kP4MWr2PhDf/RfoG5vSftQ37wkZZk97jAh1mCaYiyE4EnHI+5yz6QVazx77SwNUkoj3tuEZsf4yzgqB9gvrGln286ovEMwjvn4DmE5sO87dc8ohrUZjCwEFFcVZNhGRQ1G3Bix0UabJ0JVannmvH6TZTliBUycRiR0MvSUERq97OSSCfMBPIN7a4Ynq3qDaQZfDdZWTPAY4uC0diWbwByPlArP1yeawGk6jLGeW2y4pkQTRytD6li14q0jlyva+qDgT5ZSroCFVhnV3YnuI8YLnUJkHh6uEIbmJ7kB8s5XLGUAxbrDmQNqwdjK5CNyuEflmfPTGJFKe+f8snIImdQzVqFUi1ZFDoGqfViPDwvSG9YYVDzz7Hj1OrDj8XFGjEVxRLX0dOGSRpnDhFETFhG0ZZyfOBwsJitiDSOkDfO8DMllu1LSjgkL9IpmvYF+ykDJ1x3lCO6Enw8sHXYELxZKoawr6i2zn+nHB5Y2+gnCKN2VVLCtcZxPYF7hTCPnV6AV62buS+St76T9wtPlE057RJbf5hqriEzAXwXi7fZ/UVX/YxH5XuDHgTfA3wL+HVXNIhKBvwD8QeAT4E+r6i//evfRW+V8eeKyDeHatm1Mc2D2M2u9kLdKaY7ZBegb3k/UumI6qCYOTpm6ZSVzKR4f75jmE6W8xdShKmlGMC0TTWdXKNohXdGcWUtH884ShdM08GXOKrQOvVObsNoL0exYPVJLxrYK1dLKRt0bORdqL3S3oAKpDG2HGgHVQchSQXonlUptAjIYA93eMwU7dCelsuaGaOFaEvhI2Fekjxe7aQOBpqXTbz9TVQZntVXyniihj2Zbg1yuWGsxvRJdY7bDIfXaK4+ayJr5Lud4zsJiF751OfN77woeQ+3gvCVfC71WunM8HE6YxY1daDMgC35S7t98jvVyZMtnvB9wj+A8RSy40dTz6FCuiAN74mAszh4QHH4+spzeYOcZE3Zw663Bpbj5hFIomhDtaBPaECPQVDBa8DLhQ6Odx8ngks54HC033PIO83LCe0dLI+KK6XRTMWaQ/LNkgigGRjpMDLuDtF2ZzA1fiSVaR/AeRfHRYMttntlZag+YfIVh5QJnSGkwbEUV6Z5enikuEtyMWywpX9nTTlWDmxzu9ICxFi+FXvOIJ5dO24et1mBwbaVXpfcVJWJco+XC1m9OtjnyYO+wYsjlBsEujc0W1msmd0M3DekRv2eS7swuYA4Lxnm8nXAOTBHirOwoqY+RbmccuVdagVav1O6Y/JF5fgcfDKUk0EyIC6Z0yJn9pvA23qJW+PCjF14ev8X93bvQ4c3DG2K8o80HdL8wxRMSJ3B3MN1BryPuvJ/p6wvXtnHXG+uScFo5HA4EN2FNw7dCyU8YNqw6XLjH28C8RGrpUHacFYJ94HyZhulYE7Lb/8+L6K91/UZ2rAn4UVW93NxXPyUi/wvwHwL/uar+uIj818C/D/xXt78fVfX7ReTHgP8M+NO/3h203nj79ExNnfO2gwi9dmQxmOq4aiE0g2kJf0thTfOR7fyW7XxB/YS3QvtONj0G4nHi/ImHnglGyH1EFp045umI9OG238Vz59NYtJyw1QS1YTBE48buSJSQGrk0xFtM3WnlQs6K7vOYo8wJYxvNDamhcYaqBm48VoLDlcKWGlsdM4LOVXozmOZQrcyLIh4mmUnS8WqwbkAskjRMV4LxdGvRW2njvHeqppHUKRXvJrqOUaE4GaTVcfy0jjuveGfQeWG6ZpZUaQpbMoTJ8NKVQ1f+yL/4JwavM8wghnk6kWtn8uB9YwqngdabBL9l2B39eE/WxmQVmmUSi7WWyXvm6MlJeFlXatqJ8wGxgS4ZTAFk7FhEsNYRjvd4F2kpY6ZACKOJJ2XDGkf1lpobra9YHF0cWx0d81IaKWVmE1A/QgpmWsDc09wYMPcq9D4evyoK2lmvO7MaxA4YdxNDy5XelWKFxQaaG5zdriPqqanQciKZK0EWet7wCMUKtiq1NCZjyG28QXhryGHBGg8uIs5iulLWDaYJO92NhJo1g27WhnG2bVf6nsexWGacW9i7J7cNq0IUqHZMtJSasbsM9cmyYFOjNT8i1AjYht0LEgyH6UCvmW1Xmr2gIXCaX+FOr6i9sywyAg/bjm2KkQAW2DO1JRrK3ekN4fTAfLoD5wl5p9YXclIm39HokbzTUqZuBgykvbBeGueXr3F/95rl4VPc2wXjJ0Ao7YoxkUxHOoOm1lek7tR6gaxc21tcW/C9su0Vbz3xaKlpResZV16GNaRUepmxMXKY78E5el5xxuD8TNoyWl6w/rffIKDA5fapv/1R4EeBf/P29T8P/CeMhfVP3j4G+IvAfyEicvs5v+bV+oirpv1Ky1DFEOeIj5Z3l0jVA71uIIaWNsxyQkpj7XDZr+i6Mi+Rw3TPZN2ANW8rnU6uhVIYJKe8MblI7VeO8x1qBG8TwQpNOlaUy17ZcsM7g9Gh8gjRkjpEha0+obkSndLWC/iGM4cx4iMO6zO+elBLF0cVS/SCM4beyzB1loqYK56E2IXaCoXOvAkxRnwQZhy5GZQ6mK/iEdfposQwkXPmZb/yuCmXMmb0g3GcjCVEfzv22JuCpv+qYkS8I9SdT67K1is0ZbcNuTje5oJMEz/1sz+L/jP/LN/7he8boOpaOL1+nwC3eKfB4jnoYGbSdNgQ0tCx9K642PGxsywGzUpm2GWfu8Opo+KoupNa4mV75l4s73qLMQV/M6T2qGBlNBdyQUsbYQsaQse7hdLysLqiGDcev1rSLRdviPHI4f4BoqVfIrk6HBbrLFKUaNwQWTZIUmjb0PbMyxHnAqmvRONpdph0EU/uStsr172R9kRohaVWvOtkVaRNZArShcpGkxnnIiaC3BQiIhaMxRhLtY5l8oTXd3hv2a5jlhcD9Aia6Oz4pthJEZ3oasectA6pY7SC7xPrLXJszYaqZZpuKEpjsVRqDaPR1ytzMBgVHsuF/bqz97fY+Ab/asGHSN8v9Jt6uluD2AOt7hgJ1P6Ck5lwmInzCWcUYRs2XBzOjbSkuVlmS+/0lijdEg+vmJoikpjj4B7k4HFeoHgsAewyYuTbeey489B0GxRTlNY7vu3kvvOyJ5blyMGcUL0i7UrTHcrE3l6ourPIO4R7j0RHe9npvSPGEyZFwgkffrNL569//UYtrZZx3P9+4L8EvgI8qep31IZfAz5z+/gzwAcAqlpF5JlRLvj4//Ez/wzwZwDenBaatsHnNJV4WDicFt49HgheSK3TuqWkK2sJ1GJY68bLuo+jXogEF4lxRo1SW8LnTqAS7MjQZ62kBliLBwoVLWOgv7aMdZ3SDWIdznmsbwQ7UQqUXBE7mhdqxhuB1Iq1gW4sZjKD3WoF3wxiFGsqi0T2wigB2FFeWILDyqgJBU1E56gmjnqgAF1pZUjtjIWaZGAMncGIYO3YCWYT2WvhmhLnHcLsEQzVWAIjgWXiUG4XrYS7mVd3nqPLdDez2StrNTx4peRKjZXWhC98/vuhPPHJr3yDppnPffcXWe4fkG7w0jHWDTVy3aGt2HxlplFM5+SHultsZHYWUcWkipsjvdRx3JQwdmwMIHnXiGgbvN26MfWAsRntgmuZ7hak7eR85bpe2dKOFUMMFuMKyDiW915GmNU5zBRQGqY5ZB6loWoNez7TjEOqjNSWDChHmB2GyGVP9GbHLGQbx3khIrdoMc6jOjiq2M48H5DWMc4Pr0U1Y6KF8ZhK9FCFVl7oHFj8Aec8WjN1fcF6h52EuS1Md69YphOpbvQ90+sO1uJMpHuDVT9g7lSSM/iqNO+hWawZ0wHWBrSN7nnRwDSN8bEQAvdh5poS0/GEdY7r00dozkDnMEfOtXJ++Zhv2xPeTRxfv0ZlYDaFOHTwzuJwbNQBSHEeFw7YEOmasN0gMuwefRwEsNYSnSOZSm0WY5QQPO89vEb7E2FyzAHKvrGnwiSOoozb5oSpmZZHSrLpqClnyYSmdFOHqrzsSIlQEmtq1GLQ7nF+Ys+FdHkGDcTDkRhGwqq2DvWKNxHChD389pcCUNUG/D4ReQD+O+AH/3HvWFX/LPBnAb7vM+/odFgGus3O+Oh4M5lhxpTCVjNlT7gwXDr0Rm6OYB2yHIdeN4Sxo/Aj46xluOOzjtm74AK48cQ2AyKKcR5Rj3xndyqwdoN1gnTPRXdAhgEAxUojTEesHx4i2zK4cYRwbmDbuhUoFe1CMmkQia4behWiZKz3BAO1Z9QYatkJXnAWsIHWK+oWXO1Delg7QmL2Homepo3ahFIMWxVKE7y1eDcRvCWZQTx6bRwigxXqewZree/1RL1J+kI22ALznCnO88le+aN/4t/iJ//yX+CH/8CP8u2XR/pXP+AXf+Yn+JP/3n+EMyN2SO7sl2c0r1A2XLsiapixWA/THOlicRjoDJdYAvQ2CG4CpRp6GiJDrZ2W7dA3bxciniyNCbDuNjOpY0zrvCpP1x0vjVenQGDG2aHaNdpBOjE4al3AtEGZsoF5OnLtjY4nt8DBeHptFLOiqTBbvaH/4qA5tYBYgyr4NnbKzY7FC23s14rrkXmO+EnwBIpWatrABaQZjF/oraAYmpuHHaMYgpjR1MobYJime8LpiBVDWa9s+8p6eUFSHkdj20aNsQnBKm2tRNsoDMGiqMF5g2VmyzvWRA6HhaRKN0o0QlzG7i/nzHHpaKo0cVRNRDNxPB1QM7P3ytPTt2gqfHp7YTqeUDMhwd2A3DPpXBG7IGEfto7gBhBIQUIfihVjwUBNnd4a257IpTE1i/WCxkGia9kiPZH3Z/pWKT6SzcbiHD6tZDVQ+3gdG0tuQ+QZW0bcsHnU3jh6i2jl+fxE2irKke7uaSqUVmg9c3l6ZPET5VgwzeC00aYJGwKmVijtH3dJ+79dv6mpAFV9EpGfAP4I8CAi7rZr/Szw9dvNvg58DviaiDjgntHE+n+9rFjuD69Z/AKauQtu+H60sPfG2+sLe2m8dg8jj54bBxF6WAjW4M2IIhZpCB7bB9M0p41zqhg30Wql2E40Qm8GKwGoWG/BjqFrxXJQx/N1JecrXhUfLFY63hhcDHg3EWdBqkK1iDHDSd471juqOkrJbFkxEbbLEy+5gmSO1nNaZqomulpoCawgdfAMSt+ZzAnRnSQOVSHVlQOOnjMuROhCTonL9UIpjN12DNx5Rk3VjKe0SaaUMmKx3ZCuZz73/uf40le+TBRlno80nug28JQT/8QP/FP8bz/1P/M9r+/5zJTYt8q2XbmGe770C3+b97/wQ8PaoGDXRskvSIUQLcZ0ihkjRy4Y0rZjtJB7w9YZrSPrbXrHTDMiBVJiLVfOL5+wy4QUy8vTM251BOMwQbHBEfyFLAHTC84MP5p1gmigGgNNRjOqj9roCEoY9u2CwdHdGChfTGBdnjGtkIshUrFplA9UOq0pUKh9DLh3sXitiHOY4HHeDo7FNsypZ3NhMjNhcVgdtVrnhibdUW4xbUtWg6tDYa3SqeuG6BXtDVhudeZIqVfKeuHpsqPbRm+GljPSFaTgbcNXi8chWm6A9hGVlTYNj5YM6LsLcWTi26j1S0psOVO0cX7ZCCHStIObscFj4sIxHMAfsI8fsa5v+Vq98FA/zf3dO8zHI/gJEUt2isoZZyxGHW3NZF8QFSKB4jvOHUATzRZyytR6QeqG82HsXjAIlY5ge0NapeqVVjPNddqW8XFGt0ZPVxAh+ANqB52q28zkpmGAaLC4ma1WrtcExrHEE1UrpjcWb8hxARLXUoh5x1pPtIF5Dljvh7Fj/20etxKRd4FyW1Rn4F9iNKR+AvhTjMmAfxf472/f8j/cPv9rt3//K79efRVArCOe3jClldjTeJH1Z2y7Y9/OXLbtlilvSINOY9cKIRJuL2Zv3Hh3ouKaoxvIXemtUHqj1YCqYMXio6PTcL1hrCKMJpFaw9Q6uwgXHbsNUzreCTKNRJV14wjZukWdwbc6ZmBNBHtkFUsxHbWN695o4keWvgqXfMH2hE6eLobJx+Gl90IqhZ6gug31HvKVppWAUHtjX8e7qps8fa+Uut867ZVP3T3wevIE59garKWzp5VE49UhMjtB5iPntx9Dq5yr8nJ+IkRh74b7w4m7eMT3j/mBz/8w74XINz/+JS7xHgr8jZ/5y/zIu59l8cISOhIceYMtbcS9s0wz8W4Zau+aCW4mlRXrFtBCtRa2TuoGk8GHiSQ7rRfonVLHTOnZrjhrOUwRUc+BTkfwLoH1HO86xk6oCtOy0HBs+Yz2Sl139nJlng6IWEKc8fGOIDOX6xPH+08xzQ9sz2e2mmkl4aVhdB7Urlv5xTlHu+2ku+0sYUJ8oCpob9ScyTkPstc8UVMFu+M0wj7IVeotajKGgDWjjlulULVQpOH2HR/vsM1ilPEmVBvsCZ8r6gc/VXqh5wq9EFLHLg3NG6l3rLVUdHAc3EaIhxvzNrBXi0dRbdiaUWNxKIsNDEvxznG+wziLwVNRrOmc6hH7Gj58/E5izOKWI/Zupqcb/3Z7Ir280P2J0+Ge7gxp35AyuA/LcaaXTJdOr51eN2reiVrp2kCH/FPVgjq6tAG3NlCrI607G4YDmX2/cH7+FiYX5rvXHE53BAvzPGPMoHJNDG5sbA4jDnVHTDwQ8kbOL2AC98vnaU6J0x3iJ5pVdP2E/XJlmqahGPr/IdL6aeDP3+qsBvhvVfV/FJFfAH5cRP5T4G8Df+52+z8H/Dci8kvAW+DH/pH3IIKfjqNLv6UxnN86mSsdZXaGaAJOG6k0Hi/PUDItzHQTcXbUYY0ZEdZqBKOC0w7Ok0qjUQbhySq2DzxdoVP2TLQGHyukUV89LB5rT2OXQUfyhleHUtn3ztob3lRM82AMYj1dJ4wG1Fn8dCD1bxO0kZsQnSW4wMdPjzzXKw/uXZb5AFpwrZI7XNdG6QnvoF6v5MuOj4E5OpCJbdtQzhyPE9ZGvI1MJ8ur3rkLlYe7IyodW2e285nH9UyvFe+OhHDPNVc+fHvl6dyYHEwePlmFh8NGtpavf/ln+bF/5U+xrxvnr/wc18MD33x8olYHYearf+sn+MN/7F9DjBLDwnY07F247iu7VN7ZlRJWQheqkSF6a4qawQBAG3sG7xO9C3tZKaJgI611SisUXfDHZRCOMGTNeIm4cATduFtmwjRRUsL5hSaQUuDx8pZ8eaFLxrqJ4Eb3eZkMNijXj785Xroypi+e94ytltlEjhGM9DHLqmCMQsokbUjppKkTJIMJeKnIFHHL3Y1vIOT9QksdkUqttzrsttKaUnkmTDNKwwaPnU9IK5Sc2K1wcCNiHYzFWkc1CSsFw4SfHLkOx5bICSShanC6o/vG2i3ejtjvWhKxCOpPxBjZa2UHZgOtRLJPHEwf0ezaUeNwi0XcaSwqlzOXPZPTBZcLr44P2HBgOgQmZ6E21nzh+vIRT+cz69p5572Jw+t3hymCZ3Zd6chgaEgllW1YGlIlqAHTybUj3dJ6p6LMYczlio7ZXiuWTqTWylYrly3z/MkL5fIh89OZ0+sHPvvdP8A0v8HPFnpiv56hK8FVltMdJTyMpmaKRB9HbDycmE8njAuE5UDE8vKtX+Lpg1/k+flxrC1++k0unb/+9RuZCvi7wO//Nb7+VeCf+zW+vgP/+m/qf6EdU894UxAfWXui9tG5tP7AHA9IV/aUSfmF8/MTpTfujwqzJTfB4LHxDmeF2oYZoLQ+hoo9eDMSGdKFrA1pjt4tz2slmMRSbkBj8SzxwOswk2lslyv1RnSv4tG04Y2nVQHNbMKoH/pAcY6uQsk7Za3seSXlC+V6xQuUlsitY/wniO8Y7exZSaXwfClIUbA7uVjWlyuH6Uq+fw2SKXWn2E71C9Pc6ukM9QAAIABJREFUidNCnD2hVKx02nZlWmZUV3xrbGuhqdxKE5XedvrpXerjC087lGK4rp3XEb7v9Rt+3x/8p9m/8SW+ce7Im9/Dt77yv1Nq49omHuuJ6eVE/en/lT/+L/8ofomcxGBc5Hy+I6Uzj+uKL43gJry34Ge2XpECxha6LEiE8/UZi3LJZYxl3X+KQ9qZg/Du/cKrwwGJSnr+mN7lZu4dku2I5e5w4GKugBLnO3qzXK5v2a0S3R1WMtu+s0wj/jo5Q0+fUD9uXLVz3QrXreL8TLOBnM8cgckJ1hhyVbIYWm7sOXEsDTkcOc1K947oA91OCI6eL5QyESmIG9Sy3jxiIy3v6JoIrSPzULnPcWLPjs1ArIUsHpc2qrkFJ2oddHt3RIMj2Ip1L3grBHdExLJfDL0ruEBSRz9N1DzEN+ImikAqwzrQDxPNNkKBVnbEK2I6ruzULY3nRQXKTro88bJuWK3MpwcOUZjniO0ZKR3O38Jcz/h65eAPvP/e53n/89+DNZHp6SM+evsRuqVRB9VG3iu9FSzgvIIGTB+8jlQqxo7xLdWE2sFMNdETYsC2Rs9K8zubRl6eOrY8sbx+g4jFO8MhRpwNuJZ5++E3WdUixzvsfMB2Q42HYdbwDuOGejyYGYsQPJh4ZC879XohTZH75eE3tWT9o67fEckresGUR4L3ZNlRP2N7QcXTRcbA9/mJ2naii4TpSLs8EbwZR6Jq2WtimStznKg1cmWj9zECNYUZFyKX88qmO20ro4PvI9EFzqURS8ObRvAOW3aSyHgSZuFQHN0GXK9ULCVXnBWuaSeVzBSVfpoI3fwqvb6I0o2ndmFtOz21MRQ+z+zNYc8bPrgxU2ks0vvI9mtm9p51DlwuiXjo2FPAieJFmKJlChPBB3wpwOiW5gJSE1YsiyTef3OPcwtvFk+IwrIceX13on/393H58Cs8PcLyEPjUa89DzIS7yHP4Iom3fPEH/km+9Pf/D5bjA7Il5nc+zd/8+jf4Q/M7/ORP/3X+2D//I4R4ZDaKyM51XUjX54GaE8HYMcLUOiiVyU9EZ1jXTO6w7VeqBjQcmJiZT/ecvGGJO1PstLqz94w2pR+OoBZKZW9XjAi+75TuqbnibBu/ZPrOIIa1HWdHtsO0DYfDO0vNz9S90HMnmAnrHYqj6MyLrtTesbqT1ZHTCFz0LqS2skwH1BmsGfV97JVsHL0M+Z+YgJsG6b+rRYIjpJWkZ6xVPEqqlXQ903uhJSVR0PRtmvEjOWY6xhzHPKUd4Qd6HonBXJFlHjZY5wnz3WAimADN4Gwf6iEbEO9ZtwalYiTiGLvCbjJiPMgY0zLZoXZHWqflHS+K1MQhzERTETsmN0bkqxOto88ebTP9dM/DO+9yOr5i8oEYPSklntsjPVd660MpUyccDRHF+SFR7Aq9W6yY8Ry0cNPLO8SOBnQVJZGI8x3h7gRPB2IczBBtlXL+GqUfONx/CplP7O6Rj64rMWXMemX3ntYFa0bvpOWCuEY1gpRx4uxcmeZ7ukSKGZzh38rrd8TCKsCkmXS5sNkwPDY+4J1l2xOtVlLr7JeEfX1kdooPb1jmO6I/kdvKZU0cDmdC6UM8GI+s/UIQSxHBNCH6AVJu+YLNMHnLFo/M4pA4DANbG9rfRiWrwdO5YolNMEbRphAtrY0F7Vo6VTdeO0+m4m3AmZE0EQzh1aeYpol9vRIO9zzcfYZG4nL+BC0bh+NMMDPOdXLp1D4aUMcpsU9X2mHh9HDHZATnKtCJOEQGNm0tO7Y7ii2EPo2Bfm/4zP3dID0Fg6SKAPcx842yszaPXRzfdR+xduH/XDt/93/6K/zhf/XfRs6Fv/PX/xI/+MUf5uXpG3zxMw/83Ae/ggsP/NyXfoVqv8Bnv/IVfuiLP4SnAo3uOmZ29F5IrdLXQungcIRpQGc6fgQoTKebGdUb2zU4TtPM3WKQ9ULOF7wIB1GS8/RakDDqhdfzC23PeGsRK9T8yJpWSImH+UiWyraDNVB7JaedwxJRc6S3FVsABkJRu8U6g5hAzh3pmYOxGHGYUIi9ItNMrcpKvs1XzuxlxYji5nvOOdNrZXc7UY+om+gt4dSN0b94HloQLEilpSc6g+na8kq9UfDdNNHbBWsZmEILfdsQKtJlJLOaDOV1G5SzKcwYG4guDpJTzbggWHfg3cmQ6fSqeNPo+ThmQfeKccolK9McCU1p5QltA/RO3XHHMGapTSH6e8TdYOhGybXSTYfeBrAcwLrRiDWRyd+xcoE945oDvbCVjaNXonfYYGh7R+xoKFoJdN2HADDMVHskiB111y742Lg/vqEenlgWQ/Bx8D72fUx4+A0bPac3r+juyGPa6ZdnCAE7399U1zv0jBChBIgjmWfFcn/3mnYopF0Hg/a38PodsbCqdkopI6aXLmQ1TDj2vPH88hYAJ43j/TxAFtrwWrHeUdRRZbiUtHVy3vGTJdgOztJ7x+FI3+lG9oZ4x3V7QvtOt3fYMLqta0oc/Exz9vbgO5o1tJZJdUO0E/3E3voodhuPdQJW2VvBpo6azl7LDX3W8MZzWk6c7u+Y4nvj+LybcZR0niIRazx+sYhG2r7RRXAusEQ/PEXWIjZjEbx4ulSsga1Voo20dobuKDVxyR3bCvctIq6wbyMHLlJ4/7s+y9uPP+Fzn/9uvnZ+y4ePQxNTygsxZtK3f4np4X3Sc8Rax8v5zHnb2LJyN1U+SpHz8ws/8/P/kHeOC6/f+zRIw7TC7C17FXqDD8+XQd+3jged8L0jQMuVxd1BhK1UgnTmEJgn4eAaSZVWy0g2uYC1cexktP1qmWZvBTsfCBLIlwvbyyfkPaFBsUx0LTQ1w7hgjlj/gIjHKgRz4aCQHbQ2Sjoqgncd5ybUwiQ7UzXM5sTaCmUbosFcFNdXLutKDAYXC7ML1HTFY6m5YOvzcGgFUCkQLVqF2hRrHNIaxmQO88JuOqlsGO/IXrF9ARewMQyjajBQdTQKS+SaOuwF6yzGO06THc4ta3EyYXLHtB1rLGI6xzAhZmbPicaZ3maMnMlbptXEuXdOccJ2yHlQ46xRbO0szuFcRMqVVlekQVVHc4Kphj1fOH/8DR4Pd9w9vMO6nak9DY2NGta84tqZnM5s65mtd77LvWF+OHHyQq6N3oTeK2tnlNIkEugjSKICYtEQYb7j9N67uHYd45FuJgPSCrp9zElOWKd4o5iSKfUFbx+QJhS2G5uj0Ah4LfSsCDuqSry/p7adbhKp/C6kW6FKrZ1moPVBxk803j5+wj/8+td5527izTsPnA73GPU8lspWFH/NSNgJfsLfnRAx9GaGcsVGfIdr22ltpmshlY1aMuW6cs5n1uVAPAQ8E881I3Riz9BGt7KTMdUhRsYvq+l000kls5c8vPLiuV7PuNap54a4M8YNStLkZ6R3jBPC/MB0XG411USxM4FIapXWC+FwB2KoZZCwrAr4Tul2dJq1s6uCa7jaKL1joyeI4mwAIzgRkhYahVYT1/XC88tGmI7cH46c3n+H8PeE88sH/N5P/R5+3j3xy59svH79hlwNP/8LP80f/zf+A57enDAlo1//Eq0EDIXnSyK4wFcfr7y6e8Pf+/Iv872Xj3l493voYsi1YlR4WTdSd+zNstcNNY0HXTBhpjhhwuO94grk2rmbHXdLGLR402lYemM4s3ql5I6LgTgtmOVAcjN2vkecQ7eRsCqmIinRS2ZbKzZ6jHNYEYSICZGWNuZpIhrhcW+UPeMpjG1iHTBwDE4mpqmNnVHJiO4E9UjLNKNEH5jFEawy9UxZPE0szgptH/i8qoVpOWCk49VSGMbcXAvRDTOCZMHfdOF1c0hLLGaYMWhtCAunB7QUbHM8P565pk6YO6/DQjUTtncSnegEawuXt48YU/HeMt2/SzgFvLW0ZDEuoNViJwhXz85OahGpDtGRn9fpSHaWbjzNQct51GptwXTGKbJ01q1w/tbX8CaR18+Rcqadn1j3iq4bLT+T9xeyFtJlp7fMo3d4tzDfn7C2srfE9lh4/PgjNB55bcEs/da4HELH3iPx+A6Kp21vabffuWo6fdtY15WL2wnGs/dOevmQzQcO8wNSK10VXwW8BVOpbUNLGWNsNWFkIloHc0PL70K6lYgMWIkNhOgJvrLuCesdD4vDqEG7Ie2dePIc7MJLu3BJncWuHGeDhHgDKzdcanTZ6UHwNZLLSq+wXy+8nF9QEhZLdJYlGpzpPKeGtEJfhFLOpC3TxY46kp1oplGrhdY4p0RJGe8Mz5e3rC8rfZ64u7sDEWoRpmkhxgCl0ZwhWMN8PDDLAXd8h3x5oe1nLuePKbUQxI1ZT2dxeXDspVvENnptNy6lJ0ihSKVLQ0rFLUdCjIiCVDh6R82KUqAI531l9g5fhGiH2O6zn/oMT49f5fs/80P8/W99CX35kPtXn+H69DF/7Sf/El/44h/gm1/+WawN5HDifN05TpHn64rRxuPlLR+YI3fnbzA9fD+yeEx3pJ4RGbzN43Ig1Y4HjB0RSU0bRjIxGDzKbhy2jTlG6xzL8cC+KzkxJHnaQAveDnhLTQZ7uOfwzqep64qNdgCVUyZdhtLkbjnS/QQWrmnHXj5m6gcgY1xlwvLgG9VUuo2gQxltzNC7CA0V0FYYg33DECqAmE6cwqBiSSa3wt478xzB3LiwUrDG07DU6qjtltBrg/uaa8NqJjpPFdhroZSVlBu5G+59wpKwJaJygDhhasOEzPl64UFG0kmxNAzaE71BTyu1vrDtV6Bx3F441M/SVdnWFVt20HFENyhWlVw2qDu026w3nj1VLltlMTO5O5w1+J4pVRHG7L8YpZZHzp8Y0pbx0rmsV1JN6J65vDxiDGSZUVVSqnzwwQdUDJ8Jkel4j7zAhx99wMffPGNOBh8uTHaM8ykdo3n0EUJkmd7j5cmR1g/IaSPTWffGmgveWY4eYis8Xa7sXLHzM4aK9fNIctaBYpQ+7Ma2ZGoBXB/IzbZi7O9C0LWI4CY7FCQm0lyi905bJqZPv0/rijULe220LBwPr5hlxtUn3nt4wPuZSfeR4W4JIwVqx4YjaiPGXtnWjVIvLMFi/ITDMceIA6QP7fiWMz00rDVkBghG2zCCohFjhmww+oGiM7nQ5gf8NOONEk/HYc4URtOqKIsRYrhDxeBUWO5mHl695ro+8vytD9jSW0wVesm/OqSOsdSccKZh1DDbzuR01JiawbSGkwjuO4pmg8lKaoledjCO1gao5nUtZBPINdOax84z3/joiTvXMHrhs5//Qc5f+0X2t9/kwRlevf/dfPlLP0VNMy/VcM0vPO8T1V6R1qhx4esfX/j80VNT5sOv/A0+/UM/goSAKY3gPUkzx1iZnR2PoWt4sbzUTq0bzs744DB1Amu4rJngOouNaDRoTYNaZVbIUHYQu5FbJewZ1g0RxaoQbOAQjjzphfv5hA8z4gPXdafCmFk9K84LRhNFxuLp4oSxnp7LGEMyI5WnOfKcHkl7wdtIN0ITO+AlEomTZ3JCNZEYDaw7tg82yWYaRT0TBrrQqyADEIA1ddS8uyCtjxnMcKL3Z7Y6aveldvbrOhqAbkf0hWDucXbiEApHt2LyGaNHcrlidPALtvSM3nxawXlSgpd9Zfv2L4/49/bEFDy2Nfx0zyVvlFYJs5DEYEobDS7Z6Q2KLtTlXUr1aH7kur3F5IqLY0zKasP7iW4K++OH7Lpj/QmXlUta2cWwX3ZiCJTuyb2yXa780le/gnEH3rxRvv3JI1/7B9/mct559/AOEhzWAdIIbaPJKCuIKGIDp3nhZZv55Lqx1U7ultYd0gJnUQ69ks3Mdv6Y69MH2Pya4GfC7EbsvFs0gfHgbkDypg1LpPWOqeW3dE37HbGwdgUtgCYkGErdMcaw+JlmKqVHmpnQbsg4iIGohmnxzIeIQek6IWXDiB+Ajbyz7WfCcsQSmaZKa5HSCsewkFPhsu+E7lHvWYuSamMvlkM4sJwOKGHIACWAj2j3aE0coiHIzB4S4XALAGglTEdqV17WdezCge5mFqdoCGzXp1sHuVC3RJdKNKOutpXClvLQXGjBOUM0YKXhVQnLCecjkh3UhIsKCntq9F6J2ocjDCj7GaOeaYLT8RWlj0U3p8qrV9/Ftz985OH0Bv/8wu//ni/wV7/+dzj4hZXGt7/xDzB+4br/X9y9Sax1XXrf9Vv9bk5zm7f7umrscrnK5bIdmxgcmiBHBBwigxSkRESIgaVMGCAhhJQZEwaMAIkBygTBCAQMQIIgRGdAjuIuxuWUy676vmrer3u7e+5p9t6rXwz2TcQAF2XLiiyv0T16z3uudO/da6/9PP/n95s4zY1jLrxJFVsaY+6oOiOrwPgLXs4Mhzd89Pu/yme+/HO0akmxkO7veKnukSKz6zdIMaJNw2pBro71/iHQt3uc6DmdD8z+jOwAqam60HKjVk0qE22aabUjlUwML8kEhBAsecbXyoxkHK7ohgHTbdb5/a5R5YDuHEZ3SAoxnqhhwhqN7RwpN5a8Il06p6BqIhPTshplUQohHEoLpOmocaIkwQJY0yH7AdU0uVVKyohiqLnipSSWSK0CyoJ1DiXEyvR1jhQ9Fk1VbTUPp0xNEXLi8iBpVLrhciJ7T5Wr02zUDakbNZ9QohKLXFMAhxfcX86YcUMn1Bolq41lDsynI1mUlakQI8vpBamBUY1aNySZCdPClXRoN5BcxfQdynT0VGKVeC9YZs+maJzuaA5CKowKQs5ou0cos4K9gyJNJ0KILIEVioMiqo7Tq5cY+y0O8zMub468eP2Kzm4YtgP77YCW6yTWSjzryRKs61ApE7UmyY7p/IYlazorUUZgEOSUSf0VSnTcdgN9Z4jlQs0zxTd6N2CHYSWHhQq9oDMOhCOpTPcAHP/jXH8iNtZGI0ugJtqUqWmhopFKkMUGlkjXj2yNodIYrATbIaIn1YgWhhI9Mkd8WWtDsmZEg7pcGKxBqp6+HzjPAZE91UlM0Sv+LQey0ezsW7gelCo424HYolNmEQUr3QrkMA6DwOfLOswgG51WK9RZDVjp6TVI6XC6YKUAIyHN1GY5Xj4AkVY3fc1slCIbBfOywo5DZnQa6zo0gou/sHFbhvEK2Y34yxHdMiJ7DvOR6BOdlFz1AulGOikxeuB4PJOrp9M9Sq/5zKYlu3d+GPHBN/nmp3d83gXeip/lp/6pv8Tf+5W/zaZzzDFxZXp+8ie/yv/+G79LmA5snCOViOgzLIn+nT0/+U7Hy2+9YNn1zB98i27/FLnZEOYjl+me88WjdGXZX/NON5KNYDQRrKalRIgJFQJ6u2EYBmILVJlRSqKtoMqZ6gVCbzFag1KUohAVluOZUhemKHkzewA6e0ugoCkMW0u/cSA6qrU0ZTFloQ8ZrzSmFaRUCCNZSiJUSRCKURVUg00/EDMokbnEQMkbVDxjlF6fSI5HZrWwe/QMtRtI5xNxilArvmVKlIhq8XnN9dZQUapxvbHIpHH6ilQW2rKA1DjbKCHiz2/I0iCFXhkUQq3GCKlZimBwGm0sVgtSgRojLXvmorg/TPRBMfUDKc/EUKilrLEsM7DbP+X1m5cgJ0arAc3x8oYQAkpIwlAZmmCwjmV6hZGZOx8I5yOX04GXF8+mt9wMBicUTS0EL1YKlsi0tsYM/0GjUWZBjYHo/Zp80Jqb21uklITTTCuZm5sNosH+asvtfkdlNWS0KIA1JqmcJipJXi7k6BHWsjUG0/frzdVXRFaknLnav8Uo7nkyDNRaOE8XLuc39CrRhCA1xcvpwiZZbC8QqqLVQCgzSf2pjFtJpHKoFEmAkD3FR4QFCyjX6AaJVYoQDvRVUnErUi8VSkmkZUK2CK6jRkVqjV5DFRJafYhAGcSoiHGt8akqSQ1SbpQsUK6gtCETKZOnGkhNYzSkPCHcgG5upbllSUmVks8stTF7z3VpCGdYlsNKl9rerNjBqdEEVLEgM8TqoT5Qu4RgM14x9gOtTXgfoERkk+SccIBREmsV0mlaGklSEifQIlHkgi+FcxZcj92q1k5nrOkJIVNtobaMMYZWBKMZ6VTHKz9xcVvefPRrdF/8C+iWud69y5vzc57+2C8S9VOG/UuulOXuzUuMVoSU6LXgXf8p/o3mUiI7NfLq9F3ct36H2y/+BOSAu3oPswPnDIZKjYHkxcOjSUMSkE0i64kcJVLI9UKpC0IIusGQZ0HuO9TGoJReVdttRilBLYoQCrVkbFsbTb5MqLBOM7WskMKSZMZUQauFmpbV9KpWy2sMGbRjM9iVSEalaUleGil7EJqMxCO5zDOqwbUrtJq4TB4hF4ZxxNkbur5fiVLZs1FbpHJM0bMIi2+CXDNOSLwHZTMJSWsV2qrdkdbSWcdUPa0uSPcEqcaV1uU0MRSokTkGRgXLVIHVuqGLwLqRzW5PRpBT4XxKHE93dE5h+wEjDC03BjeQjOR2HMkSLuEF5RRpekVt1qqYk2FTLa/vnhMD+MuR08UTQiHOifN9ZnCSm7HDbRsSsbIBqqfUvJ4KjYG50DlByQ1dBV2vkPqKTT+SRIUWUVozB0+MC1p1ZEBoCAVsqVhd6ZRBN82xrAkfqyRFKIwQVCGIxRPS6gC7+BOVGdMKFcHdZWa6JITpMFViug0qZJaUiG1NAjQVMG0FM/1xrj8RGytUqp/xaB4AokjrmMOJJjSj67hyHXOFviViukPLPTJXQqnEGmlxwTRBZwWi0wihMVRiSFQjkDUholppP2okqISojZobqSzrY0iz62N9XR/PQ2lIXRFCkRGIkFEWssh0wCWecbrDh8rl/AZnFEqNXKKnFU+J4QFMsqHUxq4boJV1c5V+nfKpsBtBGkNvJLI6Qo3k7HFCYYeR1gqXwx1qCuTSqGLNskqrcdJxXs5YHmaeQ0CjMLYiq0WQ0TzEwoQiNs92C/a14s2S2KnI253iyfV75Hnisz/5C7x+veAeeeLlvDIVmuYST1jdIF34K3/my3z7G7/J1a7jxfPvstGOT14eGB+9T7/7ApsnP4SxkkEJwnKihBNK96sDLBtELmgncTFi+kw2IysxcfWFSQRqs3bHpTC0apEp00aJMwOxFsrriHUgmmGe3qBSR8Vwf674JKk60yFQo6QUqMXTyVUS0lqmaoUqmb0biM1xf3/PPB+pZY21uWHdWIdkONZCqJFjKGiO+OnAaMaVipQz2nWgJmwGs3E4O2BShzzPKKWYp0SrGdBQK7SMlYJsNK0KZAOMwTjLfL6n32mGcQdKUlpBqowPmeX4mpR7jHB0vaIEz5wKfU0Y3VYcZhEsVrO9vqV3ks14Tec2lDqBSIwGhMy4Znn76jGfSkmeMyIVjCuYtuqvk6/EPKE0KJUYNluG7hrdG0oONHleC5ZVkPwBLRVWSJrrEaeFS4m8d71H10KKBboRrXqcbshYCDmzpIWXd4GnpxMhLODMesBSklxPpFroyCAVWityK7iSkDmsgxZCMoiKopL9xDleOJxO3G0dSff4uSCEofOCftTstMFau1pnBVRhuLt/gUHi+j+FJ9bWGrVKljRj5cp5zLkRYyZmz6ivEWodY/PlGlkjMfo17mQsPSMxN0r1NDI7vUbXI6tbSKRIrYZIQDaL7hqju2JaZsgzSItrYgUoZ40yitJg6xRSSoTsOFRFSpE2n3Fa4cOJRiHUxDh0TPea6fSCx9df5On2KXMK1CIIrVJzgGZY0sMdXbd19LFccLKD6AmlkllzsqoKNArtNM6sGdbzKXJJB1pZM5eDSvTGrPPwxaC1oMaFKhVKCoZOEXNBCIXsOqQwEBtxSbzz3o/zu9/+P4gx8eFF4b7xv/ET//gv8D//L/8jlw++hq6KnVgpWsYoLsz0WnKrNP/CV2+4fvoW3/77gAZvHd3uGR+/PtK/uPAzP/SM/mZPLWHtOMtC1moNtbuRqCpVG4Qv+OJBTzDqlbmQIzElpFKoTtNtNuRiaFVTmCmlkMuDwrxmhAQ9DqTiETRia5yWBSLs+pHIqqXWVrBcTtTeQSo0Cmbc0VQlaksoEV8C0+KxcpX3NVbFddTr+DOtEHIihYruNjhnCTVhEiRZUW3ttJvkka5nMB1yLASfSGQKgSYSGosUgtYasj24nmTCKku3fUoSHdZe4fpxvS5ioJhGrxJp2JGqJBVPqbDVHUs+MtWGUILBKkTXuHXXDNYhrMV1G7QdmC4vUUGgpEBSMJ3k2u2QVvHm00+py0K2Cjt2hJDwpwO5JaQCox2PnrzH7vYZg3F4H1iOzxE0zmmi+cBucAjXU5bEwSdaE+z6Hd0giKlxyYXOGCgBozWy7KiHe3K943h3R4wXOnu7jqTLSkVRI1xIGCPpu47BCcJ0QYv1CaZhaKVitEJWmGKh0KFaj6Hj6krTKQO2w2uLnAvnS+LKgLM91SjSXWVeLtyYP96t8E/ExiqEfLBcQskrqPq8BObZkzIoHenPE50pJGEQNZNLRciVzC+aQliLbvZhs8sIqSil0ZRBaIHK6wVJZ5H0lJRXpbbuMKqwhMx8njmxwj6khoKldz29ydw2ybkVwjKTq0GUQquKRsYOmtvHtxwuJ3Ja2N+8hcwr4CUsJ1TLdNtrtN6AdeR6Jh4O5NZhWuK8+BUIrMR6YlYKoSxOm5XoJR3dxpCCYj6duZzvyFrR7UZU39N1hZDWXKusjSY0JYeVLt86rFCryFA0rFLsbx+zGTWHY+YYBWmpXN7/Nd757I/xvW/+FnKz4+WnHzDXwE7eMEqBv3gePbH8xZ/9xzjff4Ixkukucfv0Eb/6+++jn3yG71wEP3R6wc3jHXNdECGutKvWVpp+y2gUS5KIErEFluOR4gNdrykxUOoK4mEquPkK4UZM1yNLIswH7i8F9QDu2I9X1M7REFwebpK9cLi9xdodZRHENuHq+jO9nBd0S0gtICw05UjxSAiGEs8YKxilXscxS1y9UMpiDevfmtZoN7C1lm0nyRiqGZE2vE0wAAAgAElEQVQCSiwkqWi1UZYL0lRKPHM+n4nzQlENyY7oClYklFrNpq0VZAOFYtPdQl71zaIGnO1YREOFxmbQtNbji2BaKloqioJh2NDkKtErYQET6PsrumHzD1GKUmWMG4CGKgkpBVKz1qOzYtFQhEFikD6tp7/DESErpjeMj77A7uoR2+2WwVkgMF8kIQVOhwNhuUAcGXcb7s8L+XJEmw6pFdedw6uISBpRK64fKSWSsuRm6JGPnqKkJMeMVQWhHaVpQmrruLhcZ9eMDGwNKKtXrYpd44lTadz7I1YN3Dx+Gy0Nzik6rZG1UMyAZP17Wfw9p8NL3H6LdDCoHiUrc4iU9o+ebvWPZFW1TlXk7AkxEWIkNkmqlleLop4qol14tHVsTI8QF2SzhFRQKqHsFu025HBP8Kc1i9hv6JRZNdNKIVjHK7PQ+OWEFOujgqmaT88XXnz6ip02cLUGo6+uH9F3Ah8uWNuxUQ0jJY1IM5roFN5HSpjYbgaabCxNsCmFro0EPOfFs3GCnXLY6+vVxlr3SEZOdx9SiqaiUXWNWUFdT8k5g5GUPIFT3L79Qzw2O15/+jGvX0k6LahOr4MPYSFWyZgMqnMrlUutkz50hlAarbE2oKpnO3a8e3PL4fgROWu+fSx8dbzn5774Y3zne9e0lOha5unnvsDHrw70455Hcubf+Pmf4O71G1596zcwrRI8iMvM4x/6LLPqSbHx9772Ozzedwi3Q8hG01CFpoYJMQWUGQn+sp7u5Mp6KPFCLg1rO4xVzFngp8jx8oJsNmy7DVInwvkeP3uaVFwPe5oSa0Z3e4MuHsZbqn5IcehGRKCzQmsY6LmbAktODFIhSyHXyLwUQq0rYaoGmpLEAlYZZI4Y0bgyKwy9FYnAMGw6pDSY3KAm/Hwhpwm04+IznV/QXeZ4fMOLj75HCZWrqyuaMiA1yuxWq2rJUDJzSZAbVg00qUgpITiT8owTjVwteYXlcx88QmxISpMcDLIwbvoHIeZaUjFarU6qKkEZVFr5BbUYQlkYpEZhkErQ6rTiCXOhJUsIF/I8E9KFnMCKKx7trtkMWwgFXydi9tRcyHHmHDPLZcEqyEoQ5wUjNOS8WmmbRVpFF2dSUaTkSWRqOrMfNMP2bcxwQ8hx5fi6wiAkQgt8KrTFEy3omumsozlFQTwcxCpaKwo9dv+It568h+pWSpkoAZ8rVkgyGX9amC93HO5fUfKFt81Trsaex7srcljZsH+c60/ExtpaJbQGzSFUJNWClGtnXDiJb4bD0mhl4cpJZPfARC2enAEVkMYR5UyNnhQ9c2nsRI/QgZwTNRVkM1QSUTTyMmHsOpiQSuM0L/iQcS2TX82UGpjiTMhv8ajTqxoakBZE1VAN2xFqPjDFGWc6xnGHdSNzrnh/5BQ95wRRdJgqeOy2WDOQamLQiul8JuYXdKon10r2HqMyg92ijaHxYAbVjc3mis328ToJE1Z6P7USayFXBTkgq0PkjBAW8EhlkdqSa4EmVg9YbmwHxRd+9Mv8+vOPCD7SiuB8WTCf/jpf/cJn+b3vvWCnd/zeN34dIzt+yAR+6Z//CXot+OY3v4b0mVOFqODwyRH/2VvuXx3Q13teHgUf/d3/i8c/+0+v3XwkRqxyPhBMcVoNtS0jrKAfe1TtqeEMZJpQXJmB0wCpSKoUK0h8upAqqGYoSKaQaJfjWuMcBobNlhg9CEWpnpoTW73KE6fFU1pHUYoWoRZJkyPUhpEVbQRKNmIuzOHCvn+M1pmcEq2s449NCIzakOtMMw90+nSkXSLTPJNLxCpL8jMx3dHHLbWsueqUy+o18weGzbu4/YCoCy3rh3r8QvCF0oPKmVgSrTmMFGRr0Z1GZsnh5Hn9+sQwgFMdUu4wFqqy9EqjnSKVCzkWavHQHFolhMyoJPHLjC6FKjVC99T16kPohCnrOHIKE366rBtg0djxEc+efRZhDCms5bc6X9iYRtYjqWwwwxOq0TAq9puKmC5cDq8JS+IUG9oahNmzpBMyVOY0UXxBWsd+s0d2jrCcOZuKXHqMZrXnNk9OESk1qSlSU8xZM89npFiHaZZquUTPrjW01Wz7tdk35YqJlanNpJQ53d+TTmfinHk9v2DjBLpWdIr0quDEn8IBASkUNEVrq2X0+mrLOXlGc001inmeQTZG0bNxgpoDUjVacwinqWnhuLym3Qf6TtOQxHDkkDJOZXIDp3ZIUbEESD1OOqRR1NwowrLvt+jHAtEq0R+QzfDJ9z7meH9m86WvsNM9rYYVviIbVklGt0Mpw+zPiAcostlc8/Jw4fnL7xJixShD3xnuTwe2uwP28Q4nGuHhrruoLUp31Cof6l8BJSuJhKiGUir+vHB8+ZzT5cLx7sirVy/woWBtZaMlo4POOGJaMGoVuQUhSTQ6ATFGWmvEXMkiM4YF//J93hqveJHvyHPlt0rinxkO/Mhn3uHr35r59vNv8JlN5a//7GNunn2FV/evePP82+xb4zfvFbYVegQf1XXM89Pc+JIZEfETYtOcvvHrPPmRn6OqirWGs1LoAkvRLK0igY1crahOgU8ZIXqstHiT0FVjnEVpSxSVcxsI04W+66mpriDmUmlyvSEvcuWe6uUOKR0YicPQrKKpgct0ojRJv9nSG0X2EaEVqndY1YPw6NKhiyBJSfIQUoNa0S3RhCa1mTkc6cMNVffEOXJ3vpCLZOwHpO3ohGDKC0UZroaR1j7PHD01R+6nI5vbdzD7PTo6QvgEqQMqO5QuOCNRasRKiawS0zm0kaQSkVIxGkcJnmXxvJkNxgS2Zk9JCiHbWmuWhd6OtHBhThcgrKWKUsjRM6cz29az2T0lW4MKM3q4IjyUDWKR1Ca5unmLbEbe/tznGQZFLRXlFOGc6azBqA2Tnxiur9lph9GCXd+DLtwunvP+Q6b7E8ls2F2/Ra4Gpgs53MNyZJGeQVc61+ObJ53Xhq/oNg8lFbGq52tCFcmlJo6XwvFcefE6U9qBpByPOs3leM/7p1fYFtjtdix5htpQIROmiZwKS1Zr4qYJ0pz44IPv8Gp8CTUzXj+l3X9fyckfev3AG+sD6PrXgY9aa39ZCPF5VnvALato8F9rrUUhhAP+c+BnWJUsf7W19p3v99lNQE2BeTlhtUKZDpsLqDM39opO6rVTq+0a00CuFCE30FWD6AyD0ITzkZjP5JyxwlKSXy8O5ViY6JRDth5jDEJZCoUmFbEkttt+DfuXSgg9Ks7ksJ5uCxUp1wZGrgmlNK2tvFOBxLgNRkqqaOQcqc2vHf5WUUrizHrhne6PWP2S3kGZT2gJW9sDhU5rwCCbImaPEHUFKYtVJTN/+hylDtwd77k7vKQ2jc4a6ST7/gopCjl5as0IrSBJtJXr7H2Dy7Igu4HbDrpaGMeRz18fKQx8/PJMnwUvT41uOfJnf/Qtnn/nI/65H3+LnbF89/3fYblUnt68y/F4IouFLpWV09Q5LpeZzjruLhd+uodXnz7HdV/m29/4Fb70U3+OqiV9XvO6plWsghgKMQlcSZSSaNUSg3j4nawjuUoZRA6UopA0RuPWYQirMKbHdR3KWawpFN0hZMVfFsLlFVJ03FtFX7doYXDG0FmBUZqUF4TOtBQAhVeVktVKQNKKKgW5Wuw4otOM4EITjbD4lec7T9gu07QmhUCoUEKi6xND36P1U5TMNNHohg5rt8xhXgP9SqMq5BwRuaJVhx5XaaRVHW5YsXnFe2TLXKZEzAEpNb2BZzcD/nJBiIzJC63tcKIwx4AxHalpmuuARpwv+AIqHXFKskwzi1/wXUVvZkzdgVAM3TU+vCRcAnrYoPfXSLdFdnucUCyHTyk1g+poKtE5C1IRlxOtXsglM/R7pFOkuGa+91dvM82RR7u32T19h8s0o/ue4B3h5cJYE9JuKDURjycambklBlERZgNS0JQh0pFyZgqeu8Mb7o5HXp/vcFJzMxSebPY83l5xP19YDt+jTJYiFFY75mVmPiVSaWC6FYafIqbB+x+/QivDe7ePefz2hhz9H2H7/IPXH+bE+m8CvwvsHl7/+8B/0Fr7L4QQ/wnwS6z6618CDq21Lwgh/trD+/7q9/vgUivee6bTxMvzZXX8GEO32eGURMuOREG2iBCRKtuqfZjfUIxjt3/GoDpyC9iLJJYJYxKKwpIiRhikdbRUueSAWKDvDK2BUBInDajEKBw0zUUbSid4y1mklPTd5uHUV5FuWJsNoqxOruLR0q4Qi9ZodWHjDHXcsnQLTmqUdZiqkOJCnj6h5nX6RrJglWDJgRxXKZwRAiUdoawh8YakPrAGKppeW4ZxR9UbBudwsqF2N7QWSOklUlRqLvSqI3QjUm0psaKFhxj41d/+Gu2icDvLvqt86anih588wuotv/n15+yvPuTt977KTzz5aV69+Cbz6Qg5Mcprci1c5A7qd3FbgSiaF688XciMzvLbX/82f+0Xv8qLTy7cvf6Eavc8/+B9PveVr5KGgV5IrI5oOxOMpiJXrmoqxOA5+tc42dOPI0aodc68VUqaaCisVsSUKdFThSSlgA4NYTQyXig10nLjUhvnuxeobsOzdx79w0e9KldVijCbNcIkCyE2TIVQOrIoGNEhW8W6ATda0rlyPB0ZUDTR0WpAp4zUAqPhahxZqmbxYZ0W0ytYfQWPJkoqSGnZOIsVWwSacDiRy0SuCjeMlNAo5UAUAWd7VPSEFilVEcPMebrQSDjT8ex6YOkkecps+it8mChtlWO2KoA1rhdLYwphFUCqzClPMM9o1dGy5NWrF2h7T68i+35k50de+plhu6Eb30b1AxW9/szzQmvL2oh0A9L1KFYObZ2OCDlB72hJk45HfAVnLFPw3F9eMYZroNFsh/Ce0/GCn1/waP8EXwK5nrGqZ5rvkKZjazYI47Cmg5QQyZDmQPQLabnwlc98Fmkkvag8efIE5+DZsnB/WoiARmKdA18QIrO5fsJ4vUfqjkrDn1+QzutNsvbX3CfBMh/+UBvn/9/6QfXX7wL/IvDvAf+WEEIAPw/8qw9v+c+Af5d1Y/2XHr4G+K+B/1gIIb6f96o2uDsHzueF8/0RReb28S1GKk7eE8qCz429UdyMhiolTax0pFoXwuWeqi2lVLrdjnJILN6DkAzDiHIj3XBNnE8Ef0IlqEquBPYUyKJSgke5jl5V9s4Sg6P0ht2wwfUSsuSSFcsKAqCXGSErCPMgcOuBNTubWmbsFC6ZVa2iHbFIjOuQD02Fbd/DbiAHSTm84Ti9RoeC3FyBdJjhAVKsHMZ0aGPW0cnSuDEGY7a4cfXQd7sdZI+QA+nykpg8btwg+7fR3R4dEi++9wG/8htfA+F4bCLVDNwMA8vltDYMS+Gnf/wRqJ7n73+bmz/zjJ2eiJcToRmunlzz4SHw/ONvYsp6Gn9uFHSQWkOIwr/8xSsOL7/Lbn/L9z7+iE++d89cBG/96E9hx4EWIkIkrvqerAVLW59OlunMdH7BMk0UNyCNIjvHkDK1WWLRyNKIenWE+5IIywm5CJZoIS0UmemqJXaGTbvipCNTgVgyYcmEJdBk5Ga8ohpHqxesEZS4sl6Ntig0hoxUmqKgJU/LAZpDbXeY7JFp4VxPmNBjtUEbybVxOG0YhgFUI4VErJmaCzRJbavaJRaPyZHDQeI6jRuvKXWmpAXnzJppRaGMQzdBrQ01Sl6f7omzR+wETg+4riP6e8J8JJTMtHyEdpZ3H/8wcrOllEbwE/PkH0pmUPyCqRnrMiVnfPL01qCdIbsOPe7ZoBi3zxi21zg7UIRESr1q4tuKukylQVnliFJuyFwgTJQ5kJCE+wOlasrGoWVmefMBJ+kR23eowxMufuHu1YdMr+6Q7yh8mBm3I04bfKykGNFl7RlordloyUzFO4tqmZvdyLuffXd1XuW6pi/Kwnbcgu44nQPCGVSrmEdPGW4V3bCl2Y7ejfTbDWl5D+mu+c77X1+h4UmTy80fYfv8g9cPemL9D4F/B9g+vL4F7h8MrQAfAu88fP0O8BygtZaFEMeH97/+f3+gEOJvAH8D4HrbM8+el+eIKIK3Hr/FzZOnXG9G3kwTtWVkTEQJoYwgDKJKrBMkHzkfXq+OemWwGyhCs5RErxVSdChl0EISKKRW6TWrnaC2FczcEm/uzsiu8Oz2MVI1rna3RDLOVLpS8ESskUyT4W6JOKUY7IiyiuwnpK/IFladSwmQy8pclY6tkutG2/WkWqhlxtwOWDqiLpzDQF93hOWenGZ0d42Wil5ppFsjWGiNSgntKjpphGnAjBSbNZKlNXZ7BX7mcpyIg2LT9cjm+d3f+S1+5+//JrfDhiYdHROLv/DNu1d8/q3H1HyP0JrT3Ij5fXbXX+F/+j9/hX/irYVRS/rbL/Jx0Lw5fESeK7TKxWx5eadITeAQvLh7w5//s5/jG9/6Gvr6MQ2HaZGvv/+cza/9Mn/+53+B1GkShiZAOehYc8JKFnSTa2e/SJwCLRQ+SXLzCFWpQhOrRMkNhYj3R0rp0D7TUuHJvkd1jk7ptU65eMqUePHpK+Yl42tlu3GMrmH0mpsW2hLqic4XjGs4uzIEmqhcJk8RDUnjZmMZNx2VnnObMPRYvSfVM71dPWr7zQZpJLUWVK34ZSbJdTOSWuND5nQ5sqSM666JRaPMKjLM4YITCqQg5YDbX5HTglwC1jc2nePudOJyFjQHWirIifP5gG+OeW5wf2TXn3h8/YjJF17fvWCeztR6prVGjgudlAw0mqgILLrb0W1umGrjHM6M3Z5xc0Xfj0g7IlpFSqjFkXNCDyMtr5NnZfEIZRmGx4h8QStFCpEQF6TZYnLine0NxlVEPiBPklAah8MnPP/wBblV7j74PYZx5IvbgawL/hRwQ0SIQPWSJZzR1uDUSN8Em6Gjs3uG8QqRzhQNGsu83BOzx8iRR9drGQHVId0GqwZ8nZnmhVYtroHqLT/6I1/k7vARIUVEd8tg3R9xC/3/Xj+IpfUvAy9ba78hhPhn/7i+cWvtbwF/C+Cd201zNbDbOIyy3NzukXUhL5mtMaRcOMQjOcJiHXEKxCx4Z2MxeiSECaETtEryGkmi6zZoJFUJcvJkLck5kHMma83Yg3UjbPakEPBJ8/JwZHOlUUYjesFWKFKcCTR8gqYavfTcWsG5NYre07QidyPTfGFZPqKcXuJTxW1u6EbNdDogx4aho8iMVRqlO3S1pBJoyTOoQHd1zWwUyV/wJWKyo4kZskMJvwLsRENpQ0mBEiZSBGkXyBnrJKXCq8sduVrGqsj3B/6Hv/1fcj694LbvaO2EVT2HS2TrCktJoCROOqxMWCWYhs9w+/QzpMMdc73h9fgOx+9+wLPtLcfTzFQLjwx8eAgc84bnofHuaPgLTzrcOEI2nF5/yOEUmLLCozmfE1/7nd/gZ378q6Rer3XUqhE4cvJY7WibG0oT2GGL6QcQllYbFYlrhmostkqU7jB5JoULnkJp0ITE2J7YCjVrIoort6cUz5vLmeOUcINZuQ3M1NkTagYhOJ1OzFpwqxtSDJAqxhj2gyZhybKgSAydwed1trypkaVJUjihREPJglJrd1/YHiElVVmS91xttygF3oe1ntoEIZ8puUI6YZTmfPyE3bhHOof1ksUutFJBCUw/0PVXKDvTWmAJgU4LnBFk3eOspR83xMuJD1+9oJoNPjde3034c6bkZUXoKUURAtqRcXtNN+zZjk+wbss033E6nBAbw+22PsSwIqIpiigoKRHKrQbbBjVPhNJQRHbbLTIpjIwkX5HNIFiwalyfpEKm6UCTAhkiJi28/d67SCm5e/GKFgKbvkObju5mQ2evaHpAGUvOmYKE1hgFvL3fkpRCZE8J0xoZ6zuU7jifDyzLgeurK26fvYfSDi2HNVESAq5BjjPztIoNhZBsRkc7zYQ4I9X2+29Yf8j1g5xY/0ngF4UQfwnoWGus/xFwJYTQD6fWd4GPHt7/EfAe8KEQQgN71ibWH7hyzkzlwtvX7wGZfHlBbolFOR7dPkWkwt2bIz5M7IPivkKnOjpVuNntsEhi0fRGs8QFVc3aoEoFKxQg8GFtVKhWH4ynkavbH2G4eYQ/3/MMKLKy7STaOEiBWi+02kgSGqunp4hIbypWapqFpCVKOapxBH/iePcBxWie7Q19v9LVj6cD4rQyR6+2V3T9lqIaS/LUUME0etvo6TmWhSlXfPLI0hilxPaWYldRITVSgFoKRmTm0wmdZmIc8Sny+s1LdHdNT+OX//v/FD3fc9s5VPOAJPojrgoOhwNbU3n15hU340jKsO9hlJ7nH73P9PjLnNXM82Nm6D/Hb334deYYUULxfpC8Loa7DMsSubt/w1/8cz/DJx++T6sZHxPODhx2W15990O+ebfw8fIxbtjy+XefIG0HSmH6gbwIwsVQdYcbN+z2txSluJznlQHw8Hsx9Bhn2FxdszFtHeRIbc2ydhLTaUJoLKmihEYNlkeyo+t6Hm8CrRb2g0BKmOJETAahKksuDHoLMTK1hJGKcdwihxt6tWVOmSIqzw8XPnnxKYe7iTkqXp5egS+cF899PHEtBD/9lZ9kf7MacXWZQAmkLdxst4xqjfdpo6hScZk9n77+mJYLRqz+KlsNcYwMfiaLhkKhbWO73XIOj1ElkNsqoTRti+0HtB3JVOr1La+PM29OB/z9a8ir3DDXgg/w1s1mxezpxqNnb9MNz1aWQ4ZFK6wZaE1w8ge4rxSxMpCFWeHTQtX1KcRajDGklDBYcqvY4mltpiYYRktIkaah1AayYvIGsd/TCcXu6pbP6Y6GpBMWH4+kXGl4rsY91zc3YDfI1qhpRoZGEZpaFnb9lqTXaOISIq63WNtjyjXCB8r5jI8e6Rttq0hpIqVCSRXUqqsJ08TYjbQ0czV0FN0TSKQw/WH3zu+7fhBL698E/ibAw4n1326t/XUhxH8F/CusyYB/HfhvH/7Lf/fw+u88/Pv/+v3qqwBKKTrb04+GUjzz/T+oAcFJvgZlSanx8lRYZEDYnnGbuTsv9MogmkKqBZ87dF19VbI2KiuguOZMqAWDpQlLyZH7y4y2d2yGkTLds+8M7magqYgwkpICPmbswx1T27WRZVhvBIKIKHeManxw9gy03Yh4+i7zfEFogZPQX/U0bzhf7olpJvtMqPekFPj05Sc4PXL97BFiCRRZcbpRhUbVglGNXDwxdnStUIRhTYpnWmukmvA50TdB8gtKKYZxTxCS3/7l/4Y8HegGh9BA7GjpuDZ4ysyTcWQuM6nAyznz4njh3b3jC083lHrhO/Mr/u6np1VPnRrxJOiEZistXlo+enWH6lde6V/50mNEuXB3/xEWmI+eYdfza//3x/zUT3+Zc/CIHHn9+9/EpjOP3vlR+qEhU8ZIhaQni4WsFXOr1Ci5xBXjdklrx7nFSOcMRmTaaNilGw73bzBkuipISdEUK+S7RAalyUPDVkuxa1ddip5WMs5YtNC4YU9phmHcYUzmdPcRoUlcN+AvE8YmPri74/DqjvM5cJgrh/nMi1dveP36JZ3yNOV41o986Utf4v4c8eGeQKGXhp7Kd8/P+UQK9kNGEdjoPdPiOR4j5zcnckm89+5nsNsbWs1M0YPp1xNmWZtxRmke316Rc0UWCBREK4x2QEpJkw0hFLvdDYfzPR/XSvWBHhCiYq3l9vHncFZgpWC3u2Lb98wVUpnotWTb72gCLtOCP55QQtEEGOdWc7iz7DGorrHrDbL2+BRI0wmfF0YFym1BxP+Huzd7tTU/7/w+v+md17DXns5QdWqukkpSSbIstSW73caN43ZMnAsn0AkJpLvBEEIgfRVyEUjo5B/IbegrExNCBhon3cF0p6WWZVuyraGkGlRVp+pUnWmfs/de4zv/ply8FQghEAJKR/i92iw2CzZr7ef9vc/zfT4f6BtwEm/Tqd9cJGTi0zy11KRJgfUWnTlk79k8fYQD5osj5itIYiT4YUoK9DVeavx4QClJXs5RoyAv56RZRogtSEFZHuP6Bt/uab2lFIKBySEWcQglP/3/l8joCDFQZgsGEzCup/7/MRXwf73+Y+C/FUL8F8APgH/46ev/EPh9IcQHwBr42/9Pb1RkKTOjsYfH5PmMA5FyVjGfz6nrhu12TedgfnSDqDOWRxXHiwX15Ydcbx4iZYHXhlna4EWCUpGIYRynEPZg93if0psBN1qirxEy4+L6AutasijpNdMH5SGMLUJohqHD6QypYGgbMpEidJxOGalGSYkUE6Jw7AbmRiKPj0iygjTNkUqDdWS5wcgZo0+ZZQU2NAzdnukb6/FdhxVTCD1TCWN9wLoOWVYEn9PXLZEBHy14N2nBlcEhWVbnFMUcoabXkmTOX/zRH+AHR1EUpNoihEDIgVZJdDQkesHy5Dbl4Aj9I0Ja8uTRgSOt+eBJTSYcsyTy5Te+xB996yfkfg1hZC0FOzmAyNFlRa0kX18GfuMrr/LJW3/JSZlx0TRc7MAJzfH5nE3TI4TgqN5Qzgsev3vN/ukTZi+/we0jjylmlOfHFG3Goa6Jn968Sjcj6oyhOUxJiUTgfMdm7RC2x407du2GMinRsxkxdiQhZZYIrJ2gOylgxbRAkSQaEVP6vic1gi72DH1kWc6pihwhBvK8RO2vOOxa7j5d88nVms1gyfIZD68vMf2WWydnfHDYMVtmjIcE2dXcOinoegdyYPQVWZoSEOx9RPiKgxjZN1Oe9zgxLPOM+WzStUTbMlucopMV+/0lbT+wri8xOiF4R5kokswQlUSIHJElcGjYt3sGuaNKBQhDkc8wSYlJM2arG5wGy0wrahXY76e/eZZIZtkUSxvGGj+O7No1uU65eTKjoWS/2bNun3Lz5GUWZUKgI4RAU1+y3q8ZZYqQI0oX9MMe3EhmKrLVM6SfsmZb2zFESIXEKk0UGc1hRwyOKAxIOAwDWhVI1bDrBEO9px888/kVp6ea0QesVASTI2XO6PS9TY4AACAASURBVCSDi+gRTKopkwUqMezrkUO/pUwy5icn7C46iiwhLedkIiJDyjj2dDbSOUEmexaLBQRHGBdstpfs9oas+pfcY/0/XzHGbwLf/PTnD4Gv/d/8Tg/8m//v3jdghwPWD+SmJOA5mZ1ydHxEmi45hJpVqSjLikzD6dltivkRh8WMw9U9gndEMe0bD7FBJimEFDk4ZDJ9sK0bKE3GYj7n6mqLI5JmJSoYgg54Z1EuIHBYJ+htR9M35GkkS3JEkHg9oQZHO02OVTYFr8cg8USUDxNH1nikEAzDjr5bk5uCREkyMe3yZ0mJUYYkne6kcRyJelIT2xCIn24PtZ0lZBnWOqQM+BjwdlJkuGjJq5LZYkleZgxNh/OWt7/zv+BsQ1HlJNKjooTgscqRkDAwTVfT8xd5/s7LPP7gLcr6XUolKTLHUVlxtbtmlQ5s1x/z0jMldz9cM8+qadsogkgqgpP84srx9//Wr/DxvQ9om2u6VtPk58j4lHcur3j5tdf45v2W17LAl19dcXH/HaKZcX2IHLU/YPfy53j5pmB2dj5pNvJ8kg56T1QWbeacHxdIYafd+ABdW4O3CG9JNSRJQlWdMYYeaXsSpcj1pC0Z3DDBUeiwNkXqhGAk0XqSZMam3iOHhiBnHFU5R4sl725b3n7zE/ohcGWhyLMJD9kGHl01PL16i1dvf44nF+9AiBzGgcPuPr7foWfHnN2cYcOIDIDQBGnRdgL5DP3A5qpjnypee+aM2XJJf7giJp5Dt6YPlm4Y8EhcX088Wx0xJsWUC5JEkFjL0F1z2O8ZlUQNEp2VjEmAYcSNisqkIHukSTjPC1alpT1conVApooQHNaPBBsQSlNoQ5FnFEYiR02WPcPZszcnstpYE8dp154Y2NZbDl2PMT37XQNjzzZpiTJnMSvJyoLlyXNoFenbiVBljEa6yBgCjilRYLCcnd9gWK5ou2n20TSXDG6grnfT8oYpiXmJU5BmFSYIWruj8JLKZBR5xtCN0800tlTaEMqCzgboW4xMMMYi05TSCBJXk+uC1dktumHADi360JCoLfPyX36P9f/zK4ZA0w8URYEwAikll5uH6DKFbMWzt0uUnpHPK6q0QhlBlJLVy6/Tzo/56JMfUCRzou0JXc0sKxF6hssXSOGIw57YdPR+4FgtKeanlIvboA3BtijX4SOMtiU3RwTRIyJoldGNEZRAZSUmnaOVwnHFKLIJ6SYmX1VQmqgdmcqJesVQP2AYGlzbkx4XqNyg0xQRBTqvMP2ATDSh6xgTEC6SZQm9hCSCVjO6cSAr57TdgB1HlEiQhQSrCVhwA0EqbNBIk/H2d/45h/0VRVVikCTS4l3ECk8QiughEQGdpMyX5xidc+fVL6Hc63xVfZukeYJ0ASjo+5ZFuuGZ85t8992BQU5tleduvsjdzZqvLp/wb//W79CMA0m7I1jP3YMkxmuk0SReorI5OXua3VNkXFKPoNo9VjR8Uo+8VMx5pxv4rBBkeYIyhtr5CYrhJGPccXx8itKfnu4Gj9aS0XuskOSqQArY1zVGKbSSxN4SWONUigspxAEbFVlURDfibaAba0qpEL5n3wwMQ8fMPM+D65p/+mcf0e22FC9+maPjJW7Y08SeZF5yM7nN68/e4c2f/pDzG8/w/XffmehW9UDnGs7mS57efYtXvvjL9G1DZwf8IKiqivX1U1arFWO3x/c97w97Tk6Omc8WCBmYG43Pl1zKgnEcGeNuokAR2O/3zIShTFOwHXYYERgGBxs65tmc2NZkeWRxtECOKRZFHHuMgjwvycRIkBItFIPboZ1gVIY8LRFJoO025KGkMAN5MSMRarIYJMcM1lKI26imRZtAfijopeJq3LHZ7KbtuN7SLOacnZyTVUuMyNj4kbY7cFTOUUrSejud7Jn6xDFGpEioZhlJmSPtKc4NePcpoBsI2iFCgjIag6CLFY2tKTpJlhrGoaNdrzHSYrOUslpi8gIZDE4YnJMQR4wuMLpCr5aYrKJ3lqRaURy3CNdxduPmz7Sm/VwUVmMSjs6f5dbRlCW7vlyzb1qOrCQxCXlqWKxOqc5uIYzGHjY456bw/vEp7mHO8fz8U4LRJcuTG/R2RCAR40SVn88EksCoCsp5zo2bzzIMHXVtEWOPDEz67MSxbS2pVszmx4xRoIRGa4nRoE3Aqyl+gs8xyaSjngDOObO5JsWw96dYFGlaUC4msr8iMnigc9gQ6fsRER2VyQnSEqMlNxKjS7ZNx6AySpOyyM+wdpqsatcx2haNngYMzoLS3P3gPZ7cu0sxz6hSkCEQo5iGDzElBPBGElXk/LN/E6EyhrGZ2JxIvvxL/yof/PEfcNluCYlh23vOixHpB776hc/zL374Lst5wYf7Hc/rmr/3b/xb7HYbtvfeRAjJeoDBO3IHO1Mg3MB2e81cBv7dN+6wuXibPIkIKakPkofXT4gCbr2uefNDyfOnM45u3iSMkx7Ze4sPk2MJmU0bWGIk+gmQM4yBGCKiq2n3DYv5isVsiRCCpnPEaBmFJ9U52iikkrihp7OeZhQERryYYlRjt+fhxWP+8Hv3WD+6oE5zfu3smJNbdzDa8f79a7J0zYMHV/zg/gUvvPZVdk8+5jiTtL3j4QFeUS0v3Vzx47c/4Aff+u9YvvRVnj27RTfuGMaaKi/ox4EYcoSIPNg41odLzpaS559/kYCnyHLuZBWb1lGnBjUe2DQdbe9Q8prFrETgcDGQliXOBZKkosrmmFSTlIY8SWilB6epe8/hcMCkKTJYtEjog2Wwjn7X0sZAUi6IIcXZkbbrMUCVzYixwTmBTgRROtKswLsBaRXl2RzRB6IU7FtBkYD0PXQ9wgdm9YGAYLO9QHhBJzWr1QljgFFqhr4nsQ2tD4zeI82McpaTraZeenPYYO1AKhMSrUBohB/pHSwyTbQZvQ3YzZarzTX1+oJqljEzCamRLI+O6V3AO/CMpDpByB7QGO+IdqRvO5LEU1ULEnsDlec/05r2c1FYlZS8cHYDbUrq4cDxyU1uyxssj45QJqULkWIxRycKXI/XBkNECIFMJGfzGyRFQWIk5eolqsUxV0+fIPsRoSVjllFphQgpMauwfmC7rxlHD1bhZYJOB4zKETJSGE1lCrL5giNVMh7WNN2eEAacm2yovmtRwmEpyFODH1u0sqR6gfIRjlKSo1uMQ4fCopMUO+7ZNCND6EhcZBQDszTFG41MIkIpum1D39dceUk+ewZdnaGKIzIlicGhXY9vL+m7A4k2EBTNoeaD7/5jUqMoM40RAZTHygg+g2AJMiX1II9ucnx6hpAZfXtB6i02zdBjS378Kt3T7zJGx2le0PQ7UFfcOX2FFMmhGfj8bM2/9xu/QK8lTx+/xyItKJI5H190yGGLFpJeBIrZCX1ScEN8wvHyOS4efMhyUfKoHpCFYeg9nzy+5Eq9xWc/80UekuDFE6rlLYxOcCaQmQovYVHdoGvXyHGNUorc5Oi5xvd7NuuBIGZ4EkYviYnExxVjv2PsR2RRkCcZsVvT2IDQp2SJJNqe+bygUoHITf77b/0FzfU1g9K01tLsO577/Ip3f/wd9tcWkwl++1ff4E/f/YhHn3zM9dP3+YU3fonvfOvb7B18fBAcv/tnyCgpyhWHD/+c969OeOXVb7BrnpDIimgVO7vmeL5CiI5h7Hl8MeL8h7zw3A0S3SFVQpqFqSfYdtNqdHXMGHo2/cAym5EVkkxPum6jIrmE5XxOzGZoKYmiRveOTqesrx+BsIiomecVh6Gj7Rr6biB6yJ0lFnO6sUUxTN+h+RFiMERnGdIUmR9j40hQOcJU3Lj9LG4INO2Bthlpdi0dPWNX0+3XHN+8TZUpope4OOJ8ByphUa7IgmO9XtPWj/HCE8KMooiUhURmBq81phsZx4HERIJQ+DDSjoHBTYckqSKSHjc4Zpkhe/ZlqrQizx1d3yBVYF4e0x1aurFB5gYRIq6rebJ+zIUUjKPDJDl5pkiCo97UP9Oa9nNRWCNgygV4h5Api1lFrgPaN5SzHGWh3zwmxoCQHoQiihYfFNEH5ouMMViEF0hlGPoJhSbxCDlwMl/hgmUcIk0QRKfYXq0JUiBFglFzUi0+hVUM3FitiIzkRhMVDHKcLLCuwbee0SoiU1PcWQUyIdoIY4PUE5ZQC4lWCuMEMWp0mhJZsKygHi0IjxxzlJL4CFobnBO09QEfJEezW6Snp1CU04lDy0nl4cEOaoqQ4JG54qMffhtlNMUsQyvHGCVGBvIAQQiiSXERvDHceOZ5+uHASEOVzOjba8pocc5w/MLr6Pe+S/SKtbNUqmCuJdd9zRuvv8RfvvMuf/dv/jVEDPTv/nOWKPKTV7h83OK6PXMDmxAZzBE/vWiY+R3/wedvg+9RWuAZyVcvUO9aVLrhvdbQ3R+5dB/yGy895ZF/hdUQWZ3eRGYVKsnRqiTmGao3ECNRSmyiSciwQlCUBo2mmh+hswQVPKVOSKRk5/aEOBJ0wTYWYDLM7AjfuelGnGVEW/PgwQPe/uk9XLemHxOOjo94uHnEO//TH3CWHJFWKTGkvHNvx3K2YJaVvHb7mA8++P40VPKByyZy9wreuBGAaw4mstvteXj3T9BHL9DrhtVsxcGWbLqG0HccL88Z/I6PLjvG9h4vf+41ZqWEIUy5S5Oho6KcV0QfKOYLlNGo2gCBVE3k/Mv1Y6S2VFpCdQZREMJAkRn26YzD+gI7WrzICXikSBGpJNEZSZKybXrcMJKoSCKmraXgLcG3SFsjsyVaJ7iMT8WZGps4nj0+Qrz4Ag8ePSJ6i4tLxFCzLEt0McMOniRE8vkN0mJBks+pjEDKjD2gXUeQGi0DrqmRfoqDOUa0Nqgg8Qy0vcN7TyIlNkDJSKIjQUlikkGSkpgCrQSjbRgOO4rjW5Nhd+8Q3RTdO+yvaTYbEj15WEZd0x0Ci9SQpX8FQdcxRoZxRAoxbVCFmvZwhYiTTx695PLiExZdT7msCHmJCeD9DuU9uD1azonBEboG7w/EzqFFj5ARU6wmvW1osJ9qkaNSFCoyxqmwOa8QokH0HmsGMtliXWQIGUIoyrKg1Al7u8aqyUXvLVhRo+0ChCB4i3GeiCOiGfoO7/2kixkcQgiKqiSVEH2PbUfGaFFKIkWCyKC88Sx5ntNT0MmI8CNIPnXBewbfYLvJH5/4AhfW+O4j5lUkUREQJCqgAKf1RPOJAhs9s6PnJsKTEljb0jpPlWiqLJBUOYgcosGODT4EbKWp6z0iT3jp/Cbj/ci+DYT9A2bdhlEsyFzKk/1HZD6wGQQPNBxwHERA71uOZy/w4OkFOkT6oIjtNXp1BxsrontCsIH15Zr5Ky/S3/sxh/FZbICXXv0iSWLYHA406wuwBwQRK0AHQ0hyUq0QYoEyElUdo6zH68l5JEOGFE+oD2vK2TE3zl6lDpYQJC7zJKmnqAoSUj55+33uXm24s0wYgyOKOX2v6S4/4up0JPU5JzefY7O55PTGTaSAe3tHXjzD7fOB9WXN7mB59ymcGHjmOHK7gLQYefj0CTeTiq6+ZvYLv87v/t5/xH/1X/6n5OmMh0+uSE2LyRes+4E337zLy6+9RGYCs/yIBEkUkoPryJVCApmeQvtjiGitqe3I9vopw9iSXq/Jq6cYo0izEkxFuVjSjw49WJZH51PIvz/QeTv1RYeRTecJoyULHSI09MOMWS4hSDwNfhhI0xlJkhDjnH29Zez2JBpuH59RGoVMDYks6bqWzGhsqhiu1sRoyJKK6DrsqAio6fE7yRn21wjXM+4ueLy7R1GcUFYrjJaUeUmRe9zgkb5BkJBIhZcDmW4hCqIf6H0gD5PePMsW2NkCe7gg7G+Rz1e4rubi4UdMfd2ENAE7ukklE8SULVYQx7+CllbvHVfr+0QfKLOKQmi8M9RjR94NJGmD6PesxwO2O6ZcLJB5Opk7rcD7SKosfugZnZ6m/TrBhBEfLMPhMb7rMOmMwkScs8TCYEIglT1RplgnKZIlXtT0Q4PDUyhJmRvGbHKS50ZxGVLwI0pYrDAoLZEygB8Z2gNDtkTGkd1+zXawnM3KKegudhTVCUZrEiWIWqIR5FFBtBPdPy1QOZN2QgQK4abTsOuIiWH0PdFa3OjRTCBhI1KEmDNsH+FSR5YlxKiIiQCmVVgfBcvn/zpVkRAGS64kuaro7Tj1fmNAI4giUt14nuriPfZyYBgGPnw68utf8KQ3U47VF7l/901uzUacyVjd+Qbv/vTHsHlCPcLDILlnC0YSVKr49RsdVBVym3N0dpvrqyds6pqdb6nzIz736oIfv/MBf/sLr7LbXiKjZneVwJO/RGvNG5//Ii7PaeotIQJJRSJgHFt0jJgoUJWmOr2FwLBZPyX6iFARnyiENIzDAScUSR7Ie8/OWbROyBOFSXKSxRHl0Ue8cj5nv94gkoyoO9pug9aaw5OnXCnLcy+/ztnpDTaPr0gzw3Exo9GSRQp5/oDPyMh3f/SEHzyBWQLJSlD5wAsncFjfZezhB9/7X3nw0Tt87qXPsq5Hnn/1ZX7yk7+YToVJhVCRiw/v8typZpPvSDNDCAmpzhjtSLPf4GxGohNMDMRg8N4z2ISw22NdpG1b0jRleXSTbJaQi4RMT4DtKk8wiaLTC4btJVfbHZtDh4twfLxi8+QT6rpmXlyxOLkxQYB8ARKiiEihpoFtEBjXgTEkuWalK0RaoqQg7TU+WAwpRIF3jqbfEMmpkgzGCHlCdXqKtxY3CKxZsn76MV33MYn2lPkJs6XBE0m7lk5KgggTc8H1xE/JcQFPArhwoO9agq0RUTFYx+byE2YqYbddg52iblLCSEHwLQqQEoyA0Vq0+ivIY7XOcdisEcGzGx+RlxWzogTvuWoblj4yK0qciNh+w+Pr+yxXx1TL1QQZ0YbgRga7IzqFs56h7/HaEeKA3Vt8sJRdR5gtEDiUMGimjGemFE4MeGcwSkAcsVEglCamKVoIHJLL/RVXfcuirJChwQ07xFDgtCHL54xDi6hrHm2v+fjRfVarJXL1Os7tEf0en81o/JY0MyRCkaaGsT1w8fgSly65uYqUZUqMCjcOoCN6iPTjAZKMspgz2BoVD2RZQ/BT3i9XMGSW6/UeU80JWYKIkl4kFDe+wOLkNpVSFGKPrAQyNPggyMojtPBIOVIfrnh8fc3Ln/0S7zSXLIYtNZ6vf/kOb737U17qJe9ddJhRUc1e4eOre1Td+1w/ukK7lgdjwr2Q0CRzWq+J3Z7f/sbXebrecXp2zqEG4Vc8ePQTntonNObApU75+u2S40Lxzo/e5LNf+ms8fnLJ/rDm8cUfUl9e8OoXvowWHhEcopjhhoBJKoJvaLoB39cUR6d4aUmUZrQNre3QSU65Oqf3UJYlSmX4YFEMtO2O05PnSdMUOfbcuXWTq80OHUEHGEdLkAPKWTIxkMXI97/5z1jMMq53T3j5S19jexh4/viUoJ9lcXKL99//EWkCcyX51kXg984jvYR2AAxUWhD0wPruO/yz93/K0TzHfLgg6pvo2REqSejsiA/w9uMdX/nMHT58608J+YJnX3yRIsmQKmGM2aeW08CIRmYrzl8wVMWCRTXjUG8QJkOnFSLJ0IzEMLAoTyhmc6yvyVzkiXd0zZbbN86ojm5gZMp8UXDvzbf4yU/vYrKS89t3kEmCGCYOsY0GL0eMbSYlkhd0bU1QkTQTBOvpmzXj6IhpxmI+ox8j/QBajrTbNYkUZCrF99Ppe994BjuiiOQI+uYpsdmj3BlKpzTtQHSK69EyOM9zqyOkNFg3oqXD+wjB49uGJmwYhpTOntCOloun7+NtT5kpdBwZgwYBWgm00KAEQoKzPYSfrab156KwCsDgyMuSRkqSck41P8WVI9HuaG1HbhKQKXl+jtNHXOyueEYkFCiEG3BBEwbHYdwTe0/ftxzPK0Dhg0d4xcF3ky2UiK+3yEyioqBrO/bbDc4F5oscIXKkGKeT0aCQOiU0A47A8clNdL9jjBpXH2iHHcYYbty8Q5UK1k8es9lsSJAoa5HR4uLEOxifPiaalERlVLkmySrqLvBof5im4GPNs7duUVQF3WFNDIoQnyKEohcCsSzZby4QbmSee0Y9fhqy9szSjMa0aNWRaYnOjlicf5HnP/M1un5P3VzR9htWyxOQCd4ptMpQsWFwnsE6toeR3eEJz3/uV7n/5/8IEyNP11vufO5XeHDxNqUCZhXVcsWf39/w9NE1dtvw4kLz01iBrpDRcZw5/s7nTwlH5/hmy2FMGKRgdXxKFJF1P6DEHBLBV27e5uHHb2N15OLifUJ8hqfrA2sNP/7ffsivPbnga1/7JaqqQEXFaGu80KRFQe4VnYex2yNsJDpHGj0RQZpkzPIF/e5AXx8wMkVqwULnmCgoiwIpgSh4evWY0DnSUtC2LU1MyNIeFQKaFiNnSD1Bm49MzsXbb7I7DHS3n+Hs/FmUMsyPbvD61464+9ZPYBA83HteO9M8dBGNp2kgjh6ZQ3elmFeSpLtkOzhmJ2e00UxwZpHQDJ6P7t/Hhhn7xxecGEe49RKzZcXyxssIFNsnH7HeXKHCwKxckGTZtLJpPScnJ5Cm9F1HklWcnj+PEx4pIrFp6dodYew5qkqO85wiTai9YDU/pX7mJvfeueSn73yP6/UFUmrKasZq+Sz5LEUphWt2RH8gzeYoqYlCMTpQRESUKDsgpEGlOUkqCdGgpaNv1rTtlnTYkuUlQR9RDx0OSTa7RWSPirBvtqjknKTS7PqWJ+trtm0AGSilIq/O8UIyOE00GToOE9i7a9jXktFbiA5j60k700f8TGL0pODpXI+NmkTnoAq0TPkZK69+PgqrlJMiRaqcWVWSqkiWgdJz9ltPjI4RUM6jcihkRXfYEnzDsJ/QcDFI2qahG2ucloSuo8sTCpPhggTds2sc3eGKvKw4LacMZDf2CJlQzm9ifY9WnjF6Ej3HqIQwNEjvkCpQ5hVGa6xM6EeNXp2zbVuSJMPZDhEjs9UNTgbPbn8FwXPx4F2Wx7ew1nO9afCkiNRz+3jFkYd2qFGqQogeYUe6ppsEiNYSQofJMmQw7NtL1vU9pChIqoLk7Ji0adj2JTZY0gyee2ZyPg3W8+znf5ErW3H38ZtUFKRlSmluIIQF3GSpVND2gSRAOwRIFwxuoLcHVDbHHS6Za0Gz+YTV8Rf4/T/8FvrGjpjdYSgy4tWOwSh+XAu8GJmdFezqgV/Mdrz8N/412u2eo8WL7K/WWAmZ7fFpit1ZujDwSjgwS0+5221YaQmnv8AqBi6amj+/9wGvvnqbnz48cPST9zDuipuf/QpFNtGkjDpBriAZBvr9Gr95ilQZaZFg8oygIjY4VJJgTDoBkp8+xhjFcVZNtlbRg8nIYuAzS81BaeqmJx/qaQVzGBmrlK49kKcJyeGaTWdJ8oTz0wVD/YSv/s7v8oN/8V1iSHnx5k0yFbl88phNd8UYDSdJx7qTeBl53EtkiDyzcMi2po0SPzxFKYGXNQGIsqAszrl3taWQFfOzit3hETcP91GrZ8iKOTIvCNLz9PoRbhwYlUJFzzj2rNuepQcRLLarYaZJyhzlB4boqUfPru3ouwa0pTs8RhtYFHOcMNw5OSd96UWG/ppmv6bdNVRqZHvykOdvPkOWlATXk8SAj5JRpURdkEaP8NMSuZCSKDUmNeAhTTN0qrhuL7ncXeJ3V1RHL6EyCUoSlWbQBTJqvJGgAr001I3n0b6mOTjCOKJTzeXuwOLkJtFMkB6hJcKk1DtLXx/wgyO6QKImvVM/jHSHjigElYmINMfaLU5VzPQRMXq0TqaNtp/h9XNRWEOMxCCnHXylaf3IeHk5OW3amqPVCVonxLHF2wYtWs6qCudHSBOMMrR1w25oUSKj31+hTM5hc4WvSqKH6vg2p0dLfnr3R8S+gaM5TjgkGSatkMETuh5nQSpPlmXI4pQ4bBBuQIWRGBOcn7aAXOgwjCwTi/Qd/fqKKKcA+2KWUZQv0PaWtrkmEQpRrJj7wMG2ZHikm07E3sKNkxkJcwgjw9hDDUZHxs6jrQc9UOQKzSlKF5MLqNcQ52hpSHyNMIbRRawISBIam5JnGXY/0jEgrYBihvMjSgaiHjBeo3DE4CnziufmFWPwGDvyzNdP+f63/xG4AyszMjaf8O/8vV/nv/mjb/P2wwseba4o6agUdF6SzI8xRUXZ1vzO1z7PqrhFdfwGT9/7CYOqkfU1795/h+X5s2yffoTRLb/5QkEfHEdK0UZJut/yRM1xy1v8K7/2KjGmPN9e0XSGUtzg23/yFnnuubmaszq74qXXv4Q3Fb5vsFlGaHsyL5GhwHY9NoAxhrvvfJ8P3/2EkBuy5Q0e+J6PHt7ls595nZOTijc+8zL//GRO0vdcZzBah+sdIwJ7Oe2ie2WJXUeeGIxQ1C4Q6z1/+Pv/NZ1tePH1L1Hd/gzD5TXFvKcEXBI47LuJNWEiN1Tk6gAmKop0ig49cnC49z2Oz56jTRcszs9454N3uLM6YuMErom0+U1KVszyFUr2eDLy6piiOmJYf4KWgcPhANkROjFcbrYkRhKGLSYtKZYntINGmpLyvMTHhKa9i/Aak4EcHEkR0CoyX805W3yO9foBddS0XU3/6BMYOw7NHu8FqdT0RiCdR0SFk5bxsEOFADgSI0mOz1k98woP3vsR3TCwUIq0OGZ5KvCjIi8r9oOFkE6weT2j67ZI5cjnJ7TWsmk6rFUkWTa1rBKJlpMQNMtzRhWmA42TuNhh6wM+KFAaoiKRkKwWJNkZ9WHNg/s/YnVySrU4Y5YvkVrjgiPSM40Gf3bXz0VhlVIzWx7jbId1PdKn7IcG6XtMmpDolNHC4bDlbH4EaQG5RnYSbx1jhEdNT+8ynjk/I+oMEyNlVaCUQiIw2rA8OaXentPsLxnbDisCSimSApQSJB0E2aOLYzwee3iMUZEQGkTXTciy9Ihxw8u8BQAAIABJREFUFCRMd8poHT44hLdEBCEKhtCjlSHLDat0SZJK1ChITwTVaHDNFi8jnRtYVnOqWU7ft0Sf4IMAayEIVBzBQ0BSGk2SrybTQj0ibEO0I/vtE1SEAQl4kk4Skglsg3YcLSrEp+i34HuU8/goaPoeHztKhok+n0IqHbnRZOWMMTS88Su/wbf/6J/g6FiWmuge87tf/xL/+M/e5KVbz3LvkwtsKmhlpOktq2j4O994ifTmi9x7+4/5xd/9PW5+4z/hm//g97i6/xEXu5ptNac6OiePA3dWN+hMztntFxj1M9zf1/hxQx0zHj1uOImPmd86wQ4bbIxEn/PdTzZ8Zb3hsBVcfPg/EItT0qyg3lxQFTmLriedWdJMTQMKoVnffxsVA7GX5G6BKCvkds33//ifcuvll7lz6zZ//z/897l6eJd33/mAH/zkz/nwISQGnIKrNiAaj28jiepZna2I4wZlFLgtsXd88va73P/wHmWVs5ql7M0z3Du8x2k2x9c1iIiMgpmGgYjWE2nt1jyy217x7ifXmMpwnnZUJvDxxSOKNGOdZPjDyGH/EHN8ytnNJa53eDviBke9uYZg6azmbDUnRVN3G5yTlEqjYgCppxmAteTVMfEUCD3D0KPx6DQnm60gWpTOMZnGJJLCKYbRc9G1zPIcmaVEJalFiowBHfUEo57f5tHjj2C/oZivUNkCZKBrWnAa6wJttHifMl8+h8Az2J7Siymp4QVZniO9xyiPKHOWKhKSGUfHknEc2a+vSLTH2pGx21PNU6KeNhaNBDt22OGA1BlKzHFAuVpycn4bOTMo/xzdi68w1E8JscdICNKgjcKNDtnufqY17eeisCopIUkhBIye1CeJtTg0hMDT60fMigUaQzuMGJOjjCKIgegEKslZVDlF4ii0ZH5+SrNb0zpYJAq0oml3dA/ukqUF1fFtBmdRxmCkZWh3SJNTVCXdwaEkhCBp2gOJ0Wjb4t1Ilh0R3QjRExTI5Ijr7TXuUFMWFS4GTk7ugJVEMZAxYoRHyWPQIyE25NLQlTOawxXzqkIlJV7kZGUCaLwLuDFyaJ5i0MgwElWJG3qk39A1DVpqRifQKkWkK0YkSXA4qeiFRybnWJVhZEKmNbbfEbxn8D1ujLRdzbrtManmpCiYFYbUdvgQ6QdLmxWMtqXUOV/+4pf4wfe/ixgG0qpjoUd+6+uf5zvvPsUXGXXrKDLB+ekRv/liwmuvvkocBtz8Ng++8x3e+Lu/irMd9w812yCws9ssVcOqfoRNNMtcsPW32brARw8/4L295QmSL7z+dT4XJcIPDNtrymefo3sK2gmW+YJ+vWYdAo/lnjPTkR2uuZ+WaLEl8Gia+Kp0evKYfZ3jEzmtN0uPdD1ZUrJcZHzw1gc8fvs9bj1/xovPPsdv/tav88t//WuMg+eH7z/kf/yf/5DSKA7jNCRp+kB//y5Jojg5PSKGkZUxDKKlvdrg0nPSxQs8enrFxrzOS+UDLuo9bgBiZFZAEQX9EAgyYhCs5hIlPF0Y+eEff5f5rTNOnvsSru0nz5brqH3Kn337e5yc3+HOOTzpLc53WA/apBwXM5JEo7IZXbthcD1hbJFK4ZOcfHmOa1r6xiGFJy80uZYIlyETiY0DmohSIwhJkuWoZgChWJy/QBIHjAYlc7ROSLREGo3OTyhPzpn3HbthQJZLnNQM2wP1kx9jkgJjJCFYBAEhM8SneHyVG+ZjoNeOwXVY6Uk0lEZxcnbMiZkRmi1XV1dIq0lVAuYIrTxx6EiNpm5quqjYPr1AtjWmypEykmQJp7dvITODUgXSjJwc3SLRz/P0459gR08kgs4wUuLH/c+0pv1cFFYQVCbl4D1d25NkFcp09LuBpCpxQ8uYZKg0oycl9JZFUdE6S3CGzESWWYnLHNooRAx4obnebtm2kvPZnMRomt0TxujI0ww3HDjUgjHAspphZGS0gXbcoeKI0gv8ODKOB4KcHq9HN5CnE2HeoYCRqjyn0z199ESg70d0UqHiyNB3OKVI9EimzCT4k4EiKUjNbaR09IIJZYdE5gnGaLrYkVQrcqMhOkJ7QKYZIxolI14FQhzYdwpl5lPWNTUTmSukLI+ex/U1Wi+QucT5kbpvOLSRTT3SNB3azMhE5JCM5LIC0aGjBG1w40jd94g8ozh/jddePvDJg59grWZVdsghUkrBqiz52O0IUXMqRz7zyh3Sasnj3Xsc3XyV7Wbgo7/4NvQNlw7i0XNc1w4N/OsvnRKzOUO0NKOgiIoXPvtVvvfNP+NXv/EVfLPnrFQYLMw1+3XHmpznj+YE5TgqI3/6l+/y8q0XOYiRm88ec/HxfcJwYFbM2NQ75rPn2CvQJqdO/w+AtgJylDlCjQK9OOVq9OzuWd56+02Wq8Dtmzc4Pj7ml3/pl/iFr3yV/+w//wdIAkVecr3x9LSkqeFQb8hNjsgAK8mzhPHqmh/c/yNee+Nr4Hf88UbyLNPEX0SQgIgBIeHg4LgECBS5oK0Fx1ng6uETQvttbLbi1a/+LZ48/ITL3UPS0fAnf/RPmP3276DDyEk+wy1WHM9uEGVA4jCZYrk4Yb+7RLiStmlohg/J+45+t8UkgiotkXakaSwqSThsaxZDh0kmO22aLqj7gavtjqpccHxyTr25RGnB/PgcVEHb7TDlEpyi71pMkXH23MuoRLK/3KKGAaU/jRJKhUKi1P/O3ZvF2Jbd532/Ne35jDXdeeju283uZjeblCmREkVSgynLcaREEQRbcBInAYQACZCnRHpk8iTAhhQ7iIMoBgIZURIZcGRbjqKJoimJIiWOTfXMvn3HqntrPsOe9xrycK4BBZE1WYkN/4GDs2vV2bv2w8FXa6/1/74fWCkRyoGzBDKyiWaE4GhxyLI7Z6rGxL6hW50T5dA2K0IIpEZTZBOG4DEefNvS14GyXWHrlqGp6fsFkyFFasn29DoikZu1WaVQvUUmKXk2Y7J3k9P9b6KVwXuLly2J+VeYbvX/ZU3TGC8S2uYY7xpiE1HsRNReEFzA9T1xUmBxNIMnXpxB0BBFIA3OtsQ4oiJm6HuEjjlfdfi+QdoaGcCqEXE2Ikt2aJqOrjwmqIRzH5HqBKEknVXQdGBWZInGVQ1FvoVXHoegtwOYgOsGhI1JRnOSHDyevu85q06Zp2OE1sSMUWYTDCykRwwZUZGAsAxW0XUDhUlpuzU6naGsprYDg5MY4bFDv8mldB4jEkycbxLzh4bWSuq+Q9gVwUVIDZEAZwZ8HCFVhOstTYDI5OgBmvYcRyAxKSrVpNIwrM+olCSOBIPo8d6gELRlS7DHNNKwd+sVDh++y1lbwblgaxL4lusxv3O7Zy+eUTaWFyYWWx5RVftkIqI6PECGhLf/6f/CN959DT96mmvPf5j37Wzzz37x53jm4x+gWZfULeAtQSYELykuXue3vvo6P/b0DGvmjJVksDPCfA/18JALcQ+D5b0Hb1JoRb51ibN7n8U5xVgsQDus9mxdeB8q32N7lNA6Qd0FSmGxNnC4WHG0vk9i4fL1Swgh0aHl8tYNvDR89Z1T3OoNZHYbHSV88NmPs70zJk8jtArkyZSgE87Wa26/+w1OFkvK0NFXFethReIlX/7Cl/jAR1/hfNUwVIL3j+CsgtJCoSRtJxhrj2/DpvE/gt0YBgS5DbCqWC9rHr752zw6PCSNpzArOF4H/unP/xw//KN/g7B9icWwZt3VjPOM5vSYdVMjiIB+E1hjoW8q8vUCuiXLsiJkWwTvqDtL35TUqwXJ1h6JSmhsQOtAWfeIICF4AAIW5SO6wXH92nUOT88RbsD5jr7fhJyk4wzrA4iKrj0jyif0dkC7QIg0kYqQvse7TQ/ybG8LZTRuvWCeJyxPGlIicJ7qtOLxwQOQBhXnmGzK4CW4hsZaXL/A1jVdPVBbjxCCaHyZravPUXYNSR5h0AzaM7gBZEchMqQeGBcJSy1QfqCtVwi7Qu9e/3PVM/XpT3/6z/WCf5b67376b336Bz72AfAd4zwlMRolE5I0x2mJFALZNTS+I44kcZYiSTjrWtIkwbcbUqWNIrTOcMGSRGPiLKJvK6J8TDcoqrLk0qWn2Ln0LDqbUtUrIhGxrs8pF8f0XYnWggdHRxuDgY7oLeg0xgWPZ+Nd1kqjopwgC6wAIRyJCRRJyixNkTomiQriLCJLik1ocVB0JmUy3SYoQSwFy2XN4BXFKENYS9Ms2d8/5GTZsFycg3WclS1VWVNVNf2wIC92CElBWTdoo3BDj18+IJYgifA2kF98ERVFtCEiTWd0biARjnExYVxM2J6O2JqkxKLHGEVZlnRtxWAtvmuRwqO7jtYOSAWRjkh2LnB88IClrfFDYJJKVD7l8fkp0iTsiQXFZEoc1qjJU9ha0HvN733hF3m9Kdh7+mXESIM3fCTcobhyE4fgpBRoDEutOcFz7ebzjP3A80nLtMhwNvCmn/LGecPN5oB5EaNk4M065fr2ZZKo4i9+3/dy+2DAxpcZ9AiTznFO4F2NCBbfWSQViZQEZzk6O6TsVzzqelovONq/y4OywaYJS+tRtkUkku00pWlbur7j5PyY06YmDhHW9XRVhbCO6XibyxduslukxFRcv/kXUEazbs5595uPaO2Sy8+9zHHVEtOiHZxUgSwKRBrWTtD2m64YpTdZsqdtwDlQDlx5inY9+dZT3Lr1Iu+dnFMF2H/nS3z4lY8gVM7Ro7fIsxFWSubZjKZfEJwFnZBEGTL0eNsSa40ioawrlutzDh4/ZnG+wA4DWrcIFYhMQd2sUc6jlEariMEPFNIhkE/oAArpBtpqRby7S1FMCCEiSnNEgFhJ1ouDzYTHCLwAYcUTrHhH8D3eO648/RxRktLXDZqeUVCYTDHKLxKUxgrPqq5Zlme4oUOIDVMskoG6PGMYHE3doGPJjVsf4v2vfAfpbIzQgjxJIY7xOiC6miiWpGmKiTXStvS+ozq+S7M6ADzF9g3+h3/4zx59+tOf/pk/D037k1Ja7wJrwAE2hPAXhBBz4OeBG8Bd4EdCCOdPCK5/G/jLQA38jRDCV/+o60u52TwSDkKkyOIxde+IVQCn8DpCZFsQHDIymDjCu4HcJvT9gghBbDLc0DGINdIP+CTi6tYW26OC1sa0TuDbM6Rfszy7jbOag7NzsmTEhe1LNIsDpHc0HaTjOXmsUVojhQLvntykJklT/CDxzuP8mjyJ6ENAyYyqWRARGM/2WFY1tm0RocNkMcJopkLghxLfddRtjYkysC2EGOsHzquBKijGo12CaKhWpwyDRdiOygg6VzLauogwBZEU+HZAYCBYBjRiqInyCyRaEZuIhfdEBkLjUMogo4JQ19j+lLZ1NOsFNvQEkeFlROIFMjLIAGakSYRASEMztCTplBtPPcu7b79O7TyRtYzSlpeeusZbjyreW1ie7z3xZMLRoPEi4E4f8OaZ5SyKGfcVH7/5Eb757mtcuLSHMRF6soVcHSJlSmlrakYsFwuuyRqTj0hjzTudZt9Z0ihmTyYUkaUOCWmhGNoT5heu8Zuf/zLrskfLgDEa17V0VmGs5WhVESUGoVOyPEV5ePbqLeZ9zRfeus2bb3yVGxeu8PR4xM7yiMoONHHGLJsQ0gkFEpF62mqgWaz46qNHbM23uTadERnFwvsNpC6es/vMJ6m6Qy7GKfnzr/D1269D3/O1b7zKhz7wCutyxcWzO0TS03SeWEHqodNwuAYjPJmB3XwztqrUk3VYz/F7X6WuT/BmRJun7NeCL7/2Breee4rtvWcxSuDNhss2HY0RYQPU1GGg8SOWq7uYdEZuYs6XC1wdsMPAZLrN3s42M2OofcMwNKzXaybzq5g4QmuN9x4lPVYKtNOU52dEwqBFxNZ4e8Mbax+CCwx9T9/U2OAxWiG8QQlNEB1KbMizTVOhs4y2bSlGc6LI01nId7fIti6QxBny7BRWGVrOKMsjhnZJCJZ1fYroV8RmSjrdwhQ9s+0LzLYvI/0GJDqdbSFci7QlcogR0hPLiN4ODKcnDN0KaS3V8jGua4lNilLDn1VD/9D60ywFfFcI4Q+SVn8C+EwI4SeFED/x5OcfB74fuPXk9W1skNjf9kddOAB1VTJITaI1wmh8tWRwAqVidDHbUDubFYmR1F2HISI1GhvGJFKglCE2McPQYj3IYUFtDZlKCapHSYnOCvA95eoRnbOMdIz3gSxJGW1donUDA4qrWQpdS6QNne+xGKSK6a1HkOP6x0TJmKptN7gJIwlK0HYVpbXkkxnerenamsEKdiYXcbbcmAC6fy4AMePxZkak+h4x1IwjzXh3jogDg42p2MW3p3Rrix8cJp2zPj0giiZorRldusTRo/usm4Yozql7SREPzLMc6zrGGobyjLI8ROpAIgTNsKYvG8qyRGiNMGNCb9Fx2MzuvKNqS2azbaTaLAtk422GrmS8fR3z7ls0dc179ZqLU4txDluec24V67Ln6/WIrWubJ4cvvfEZliGlWpXkUc7bt9/gJX+H7MYt5ldf4PHrXyM1BQvn6EXOdHaJ5dkB13RFlo046DytlChvmJUPGc8dkyzl7SOJXJ8wzQ227dBdRbs+IzKGYrLN0PXk0nBUHpHFI1YLTT6GIREYK6Ef2NOaT1zdZX1pylZmmIwyupMV0mgSFZOZHt1XaCUQQVBsXUJd1jyrMryKsEhOj++QKUUXZXjR0/YDnjH5pTnt/df4lluv4PJdXv/ar3Bw5z2CXKJkYJwEmg7u1zBSAhPBNPE4L2gDBC8YS9CJwDlHPUgiHXiwf8ClC3vgS4b5JT771de4dOUiWTHB9i2TJMKEjmA0ethQgwUG8piT84QgY0gTFBoVeXYvX2GUJiQmId7aJurLjQtKDiRpRpQJ0nzOUJc8OlwxOMssTRFeU7VrOjlgb/coLWjKDp3HKL1hfoVohFYpNnh8kFgRyIwkBId1EVmas3h8n2V1jl0ckycZUoHoSkpX0VuLNoJiFBFFU9qTFhEpykqxXndcfN8NpNGgNPn8EtY2DK3D9huCsvMDoR3oKTHG0LQW36VI7wGPHSzWRtRNRzvUtP7On0IK//j6l1lj/UHgk0+Of5YNWeDHn4z//Secqy8KIaZCiIshhEf/wiuFwGJ1SpJv423MyeIxtl0yTUYQG/AWITpE11L1ioaBXDqiKMNXK3rFxoraqQ0FNY2ougrhHKuhRGUxUvqNS4SNNz4Oge3tnFjGxMITjMLEEUUIRJHAmQTV1Jvc1yjCxBt7oAgW6zXauc1aZFehncYpixcRaTHZcIuCwaRzGCzl4pTEeJxzm6DryCCFIABpnFKvT1AyJk1ivMlJdEzrakajjGqVU6Un9K1kb28Ha0tOzlc0i9sclO/QRFPk6GVKbdHtPsJ5uuoQr1L6oUGJDKUEVRe4/+gOi2ZguVyClOxOJuRZR55qhqamahvyIkX4nvW6ZzSNMfpJAn+ooD/HhRorexjg7qM1e3sJz11K+OWvHPGLv/Uqf+0//jEeny44Wb7H7x+3mGKHy7OIta0Z2wIV1uze+jb6/XconeQTP/Sf8vf+559iqWLmhWDvvUOS+TZWSmyn8Wh6E7giTphM9jg+r3nQScarA7b2nmXZes5dzOTKsyzuvME477HdetNR0raslIBWYI2iCwJXJCjXI23PLEqZWUesMupFQySHzdOOHTBDgl1VTITDZgVp0PQ1dPEK6WMsFhPt0QRLz8DO3gXKh/sI6ei6Ncl4FyUkp4u3uHrhWd5+/A4fffkjbGcF+/tvEOkZs+M3OKkcud1QOtMoYCuJ0B7rFbFxoAW98chacD3u6c73OfcJNy69iFfwq7/8a3zvJ7+TeLQB9PW2wy8X9H4AqTYYlvUZgg4vwYsEM94iDY7ZbIZnIHiN9B06ndKKmvWwxpwdsJtcIc+2ePX22xw+vEseJbSJwWtDlk7Bdrx7/IgiSfAhQR53TCe7WOfY27tJ16yQfU1ra0yU4OOMWBiCKBECfBg2bU4ioXca2nOa40fo3RtIZwm+Ic4KtDCwNWNwkJiMeH6JbJRv9guiOUka01aW2gWEjGiGFqMiXOgx3iEUDENAJRlagnUWOVhkPKcormKyAluu/yWk8P9df1JhDcCvCiEC8D8+QVfv/QGxfAzsPTm+DDz4A+c+fDL2/xBWIcSPAT8GsDcrGLxjdXyPUVqQpxlCT1kPA9Nc0HUVy6beJATlO2igFwuMVwRrEVLTly3YE2wcM9l7ilgm+O6MYYC6tbS+J3OGUTFjZ/sSwlnKttmYEqIcZztGUtANLSYZobzHeUOuOpzr8EGS6IimXRMlOV1Tk5oYawzWenxQKGPI0hzXVtTVChNvI/oKIR2DSdFq05u6bjuU0egGdHCgBHExwouEZDTD+YF0vUbFI6J5QZILzk6W/N5v/ypRmiGIyH3J73/tm1x76X2kwuOdJEyuUFnJ8f07TLcjgtyjkS2D62kHeOfePh6JdLC7VZCqgcgptBmB8Pi6olqXhOCRecukjRCxoG1KVNeTahhvPc3ecILIR+yf1JTtkiTSPLNjeOeB51d//dcZognT0Zjt3Rss+hKRjdjeucD04ReJbtxk9+kXePWNLxCEJH7hWRZtzdVnXuFbvvt7+Pzv/QLx7AVs61F5hE0usvXwDuP5FqkUHA5AOmcyzplOUlRncCZFZSnTD32MO6/9HrZqIAxYCcvDAZ8bdCNRxAgfUGmMCBmJKFHaIIaeyFf0nUNWLQTH6nRNZAQqBtXWqKIiokAUEQMdyJihWWCFo9cJdx4eoecjimTGVRnTnd1hUZacWIMTHR986jkuPP0R/NkDxPQZFsawkop0cYA7P8IJgR0CKvYkHqRwdG7TejQLjoUSSC2gk6Rdy+O3vsLzH/4uVn3B177xKh/56HdsgIxdx7pckUc5ygikMMh8zpYeExmD8x0mThllY0LYBBBp4aiqc1btPsFFBOuwNrAoGx6efoMvfuG3CL1lPkopxiNUnLFUh4yKLfphoAmBEGryNKeqTtHpDvF0ghqONqadIJCxYuglKg4QabwbGIIlGsyGDadTOtUTzbeIopR6eYCK5ygdY+WKJJ+SBjg7P6QoRozmuwgRsNbTDQ3BaJJp+iT/WJEoga0WkM6Rrid0HdI4hAkIp/DxiO0bY4RJAA+zfzVolo+FEPaFELvArwkh3vqDvwwhhCei+yeuJ+L8MwDP37gQpsmMxfkDDu+/xXPP3yKNZ3irKBenhHyG84p+gNPFIyZFAVJSdQukMPSlx6uCVbkgrAIyGuNcIHRLVKJZryDWKVEEoV/SecnZ+hFFOkepBGEbtE5puyVt2zHTGUO7Zt1WhOBJ45SoC6ioxXU1kTK0XYP1liye0Q5rvBRoXdOXDQwLjA0opTgvj4h1jLQtBMVkmqFMINGCobN0zXKTCZBOiUKLbxegIgSW9XrNuqt4/Tc/w/3jh3zvd3w3B6/+BiKb8OtfPuSZrZ6RsRSjXYL39AzEqWTlzjl59zGzucdkU07PTrizSsiKMVemivnOZZwPmFDRDpuZtDKCOE0gWNxgWaxaYt8xnc6JnUfiSNMxn/yOj/PFr75K+eh1JnnBfPt5vvK7X+Z0Lcjmgjfevscnvv/7eHjvkOOzQ9Jii6dvPsNf/uALLKMHFPMtHv/uLzEsF8hki3/4kz/BqlpyvTBcvb5LEsNkMuasL9HjHYrZRXjtH5M/9X4WXcP+esBNYnaLEdr12HKByuas12umlybceuVjvP6F38CXNcJoItFh+4z7fcWF4YQ0iwh+yjhqqQkkiSB0jjQ2iDDQRAEaj/Ubq3M5BLSSLMuakbIEm7KVKWSk6AAvJdIOeB8YHvUMFwI3v+eHePvzFY3XmGnHBbegl4bFyW2EMSz6FSf7Z7zy/Et8+Z13uTKe4Oo1iz6QBYHTMJKBzgpi4TASdjNP7WEpAiMlWJw+5o3f/WUmt17hSGxx7+57XNwyiK7ERDlWaoLWRHHClBifhU2ivgRHiZEOZzVZFOHbivH4Aqfrt/EYZCqp3MCD177GcnmGa1piaTg6P2WxKEkSvYH1yTG9hWFw4DW9gQLIxabtsBk0IYCMDInUWOkRzm4oqXJjs0WAjxKioiC0m7Dp1ekhtq4o4gQ/bBholoBWGXvT62xdvkJajKiaHiUdQjYgC3xw2N5tepjjmGZl0U2DTiZ0g0T2HVakNOFJD24IWL9AxFub3aM/x/oTCWsIYf/J+5EQ4hfYQAQP//kjvhDiInD05OP7wNU/cPqVJ2P/whJApBVZLBDzgrpucFbStD1DX5MHMEKyG8UcW0ucjHAWfGSom5LBBRQdi86zk43pu5bWWxanCyaTCYHA4HoCI9q6o7Fw8Kjk8l6B0cMGXkdF261xQrNYPIa+Y+hbTJTSWkfnS+bFLiI09L3FobCDRGcBbTY7oUEK2r5ByjGONQpJHG+xrh6TDh6RQt8nZDGIweKERI/GuHqBa1ccNgPFMEGIATvAa6+/ysnJEeV5xbS4yGc+9zle3ovJlWFvHGjybfoemvIRTo3JM0VQnni0w3h+jfb8gPXpOzw8CCz7iEtX5uSxoncVvhuQ0tNVHfkkojlfopRnsD2z2QXGQSAV1BaWqxVRKtnOoDt9wHPve4o3+4G+uk1ojnj/Bz7A1lHJ8bribN3w7htvcvHiUxBLxvMZW7HgrV/9u9x8+ZM4ao4f30P4GN85PvP5z3LzQ5/i1q1b/PrP/hSXn3uZyfgaq+oOk/d9G+78lLjYZjyfc3x4SB1vsWU01lWsFyC8xcjLJLEmjcbUWEyasKxLIgkoibZLJumUd8qKaVdzOT2lEXO2xgZXLxHJmOBzemfpawm9IxYe6ToIG2SPzAr6KGHsHb53JKpjGilapzlVAukCHkvz+ITPfebn0ckWly5f5sN/5Qf4n/7Lv05y6RU+9v6bHK8aticdw9kZt2/fxs9m3F0cc0sINJKgPMpCF0Dqze5vZiVl8GQSUgXUjUJ8AAAgAElEQVS99UwSweHpGdHsAe/uH7N/kPBf/NWPMyQZiSooV4cE2yKTHOgZyoFgFEMQRAgM/WZ5SyradsX5sCKSCTaKqM8W7O/vU63PqeuewQFxxTCAiQVRlNGV55RJytBbkvEYs3WDrfkWWmuk85ydnIJMiUyPjiMCoENDQCGFQwiHwxCU2iy/dCUy9PStZWh6/NpTh3PMRKJUhHIOaQxqMmKIA/3yHES6CeWWGdPJDiaJKdcV5WrJZDYnyhIW+/fwUYSWCu+XeAzqSaB3cGcY26AKj7P/P1tahRA5IEMI6yfHnwL+G+CfAP8h8JNP3v/xk1P+CfCfCyH+dzabVss/cn0VcP1AW7fMJ3v0iabI9jhenrMsS7bHE1KlaPqKgCDVBUZFdN0hkdlCRFB4i05HZEmKcwFnPcFatmcXKH3FYj2Qa8mhPcH3HV4YwjBwVq2JlaZeLTg+OUMrRZwnrM9PUEKS5gludcqlizcZpCJ4ickzfBAURAipCL7F2o6yW5IkM+J0m6goqI7v4WND5C2qiVnV58SdJHQdte+Z7d3EmBgle0I8RumYLBvR9x3Hpw+4+/ZdXFvSNz0Xt7dJ0pjzU7Cm4Gtv3ebKVsTXTju2Ji2pN+TTCikytAgMS0cbe9T0EvOwjQh3KJaKx4+PiG2GWdUkiSaKCoRtWBxVKOERxhCNLoFWpDKwtJ5CBTAGbyVnZQOiZywLnnr2Oe6/B3Z9l0I7JjfHPOtm3N+/x2dee498lJDInLAqeZwILuSS84dvcPHmU5QnJeum51G/ZP/8lGux4Xe/+HmG3/k5vusHfxRpNH50kZ0Lu7z7+ufZvrSNSDRdVBDPMorQYUW8gcqNd1lIgY5jvFYIV5Jt71KVK1TbU5hNh0KagNET7lnLMp4wrI6RasrgVqTDmmL8PsrTQHA9Z9aiu5aoVWRJSp4oijhhZCQaixQwSTzeG0pvyUKEdYJKK5R1nN/dh/ghd++9zT/6336G0z5j6/EdTpuPsj1JsW5CdDplqNcY2XNgYnbblizAaQ+p2Ew2UhkwqaQJGzvsGoGSoOKA9JAHQfXON6m84q5R/Mpv5Xz/pz5B051SpBLbC3x1DiJs2q+CIdI5OjVIownJiNBbnBI8Oj7GCZin16lMRN2U9L2nGXpCEHR2kxI3tC1hlBFcy3J1jIkiVDRinCjmWzvIKKVZL1ivlyido+MxRg4oGUEscIMlxuOlwEcSCAxOEsp608fuus3mLoquBZNbAhvEyyTOaTKBJAUx0PuWprfM8h1MKsh0zGB67jx4ExGuc+PGCwxdj+0dQ7vAaAXaoIXF2gaTp4RIMkrnrPrjP6uG/qH1J5mx7gG/sOmiQgP/awjhl4UQXwL+gRDiPwHuAT/y5PO/xKbV6l02/3D/oz/uD0ilWBORRBGh7TlZHNEOJVeuvcg0NfTDkjwfUTdLYj0iSySLlaZzFXGaoENCkJvbs9Ixme2RhsDJ6UMg4bxeEY1GJDIh5BOEs7Rizmj7EkN9iogssx1FagzORHRNj9awOK85OnzI8vSIK0+9H88CLQTKdwRvkKGm6xTeOtpgKFcLpDvk8sVnSXWC63sGrdHpCLxnWFZkRhCyCQMWoxLW5+fkW3O6ISCTgm98/jfx1Qm26dBak8YjEBoVGiZFyn4FuzcuUrox//YzkkcnS6ZbBiViehrSfI5US1RoaMo10XTKxVvfwaw9Y+/RW9SLigdnm6jDXJ8RjRK0jbDa0jcNSVKTqowuCoh2TTQds7V9k9PFCWVpiYqMlfXkKnDj2fchxUt86XP/gIvKEWTNC8/sQVvz+v23cfOLXHn52znaf8i7oeKTH/0Aar1gxYzG1vzeG1/h5vu/i3VdoY3i8pUXKLKc89Up52xRLtfUX/2/2Puuv0Q82uH4zhIZPM3hXSauIh9N8NEE23c0Z0u2d/YY711jebziyH6TAYU2gIu58dR19vcPuVBc561qIJpdZqEc4yoinl3j/r33KHWBihO6/pwQpzR1TdofkegdMjdQGUkkUta+4byPIPQbw4ZIIIZt6ZBpTmI1x8sl7fQCVXPINJFsb18hffAGxbd+P/2775FN53zgucv8ymc/y2WpaIJEDR4doE2hrWEtNcNgMUogAkQuoJMADnIdiFKBr6DQimU18Iuf+wrL1Yq//kPfzeAaRKxpqhofPHk25fD8lGAfEacjtHDMr75M01bEo13Muqddr1lWNRe3d8k//O3ceetNxMkxj4+OkUFwde8iu7u7NHXLhRvPs3vpKkYqRJITRKDtKiZJgZhsUdU9OrSoAK6rWLeWrBhtApN8RBQFlPAMQ493ns5uEvy11Iy2r2CLGamMCaHB+Q4fBE4pIqNwfQOuZjg9xtoV626KPU05EZ7q5BxVLjm9s8DWC/JsyuLkiKN3X+WZD36ESDlCgF4psAKUoSxXrM8Wfxrd/GPrjxXWEMJ7wAf+kPFT4Hv+kPEA/Gd/qruQit2L11idHhCnEqUmRHHOdpHjxYBbNQyqYZzPifOUet3i4zHnZ2dsSUWap6gQaNMRQ7vG9Q3paMx8dhEbBNdFRF9XHK4rpBRsTedMTKBZ3yc2CcVszumjQ7rIMtERo+1t4iTn5PE9TFpwtO4ID+9w5drTjKYXqIdT2nWLwGJMzrqvgAQhepp1yT3/NkUekad7REEyziRFnjKMHKn2pKMJiIGyfETnJcPhQ05PShaPHyD7in7oUXGC95LpJGF3a4TRMYcnh5TrU4rdgrtHBxS94bB13Lw8g6glNRmekriI6MuSRA/06zO0tehszsVnvpXV49vI01MOakllHdpJvApYG1AmRzqD9w7pPFrFeK9Zr46JhOXCTNO2S0ySIxXEUmJEz/f+xR/h137lZwlGsWd2efnl97Ns3ub+yQFf/J1f4IUXP8bbr3d864sV+/ffpb/2EVZIHIY4z1ED+Hu/zdUPfYDz83PO+oz7J8ecrx5BXjCabLFeD5xVA2utuVodoccGbM9icHinUPmY3YvXWLiB+c413tWb7OLYGKK+472vfw2dTWmb93gmz3jXXObeu1/nxSzmYP0alyc7vHO4wNmKVOeMQ0Nqaw6lRm9dxCQFbx/cZ2u6zdCADhVXiwIrApG0jIPlh/+Dv8bhWcubX/9dVkJjD47JtSQkBeNr17j0zC2iOOL6tYuMt3e41r7Nq9OCpl5TWTYzNKXIXECpQG0dvlfU0qGDwuMovKD2gVZKQgg4Ad4NbAMPz0u+/I377Ex/kw+/9BRaQJoXhK7BOUsWTzhtV/hqiVA9yeqQql4hUEgpGU+2Ge1cZ9UsaYaSZBRzwc8QDm5dmbF14RrtoMkngaff9yIqiSirc4QfiKRAqU2Iuug9mbYoHei7NV15Qu80fd8TRRGjySWINUIpQleDF4DCDwPZOGG2t8PZQYMbOrSS+LYjy8YI7VEqJR2PKU8bfGjx5RqhBc3ZEdLk6GA3xI7jfarDx9gkxnjDYD3eDyAMSkEmDJ2vcV2P7Vvq5fmfSrL+uPrXwnn1d//Of/vpH/3B7yXTCqlBmJzEGJxfkyQzVmVNZBJEkiCdwwdHZkaclmcEnZIkOethwAjLZDSjaTtiZTbNyfSEoAl9TQCmWcb58pzMCLQKJCrGuwHnOiajCamJwXcUxZjBdSTSkMQR+0dHtO2a4FuEyRjajuACnRhobcTBnTc3PXpDwEkL/cBkcpGg5SYvVWjiRIMG3zd4gBAjBSwWZ5w9vEOuAlXTESvJEODK3i4uWJZ1y5WrE+4+WvHMtmNsYvYPl1SNZZ5C7zt25woZOqQ0CGEQeHQQeDzBDwzOIvHE4zlXrn8I1d6jSCdIk6CkgShmGBwqkUhn8V4DDoSnth3L03P6wSGVpLGA90glNnC5JOXGcx/hnVe/yvFiSRzBznTM0LecnQ28c/AAQsejg/dIdl6hkzlLM+Ly7k1mkz2adsWV1RtcuPk0vi5Z6BkH6zX9G7/O1mzEh//Sv8/J4yN+8533mERjzPnrXJpv0RlN6yPqkJFGAonj2o33gV1y+80vIYPC94Iolhg81lvG+Zgrz71AszrHNgOPm442nnHaDTzz1A1OHh3SC88qSmh9YBoGticTHt+7w6WL13l0eMj46jXGEtKtyxR5QacM5eqMa1czLj/zfra2Y1576wA3VNxeLtlWkpcuP82d0zPq1SlJIll1Df/nr/0G3/n8JR4tzhgGyWFpGenA4AN1L/BdYFCB3gka5/FIFkMgiwXDIIlUQJkNmqi1AmcDZ2WNKgrE8pAbz72ECg7hBYOJQadYBxaD6D2r6gTnNF3I6GXC7MINsmyENjlajRFxgUpnpEnMaDLHyw2+vKrPiNOYOE4RfUcYKrq+RbgBa1us7xmaFVoZRFD0zjGZXGA8HpOMpqhYs7PzFCoxGKWwfc3gHNpEDEGj4wg3DJjgWJ88BF+RjMZY2yGcR2qBtSUEh6sWFFFM0/fYpttku3oIXpImGiVibHAoYclG2zip6Nue4C22blidHVEulrjO8XOf/dqfm/PqXwth/e//9k99+gc/8UGq0wOUjkiSzSNDlo8pJhNs25CkEm0ywpMYvaNlxdt3jqnLiixPWbc1vq9I4xSjIgbbsFif46Vi3Tu08yjhyMczrPfMxgXGpAgJZydniDCgcNw/OiY4ySiX5NEEjMd6KIoRMhrz4OHjTWKPFhvyY9NwtC6RyYg8igmRYZxPWZYbq50SnrZrCL4mSVMsgvXyFN93xOmIx/v3WDx6QG4c9dqC9MTZGGUM00KwrjbY34NH57TLA3a3c77++gk7+UZ8SzkhpSMC0kyC6MEGgnCgDV46hJNIP2Bdh2srejGws/ccsRaI5giRTEjijcj7qsIOHUFIlNC0VcVgA6elxVpB8A4VFaSxAtfR9p7Ts2O0kjzz1HPIxvHg8AGRFIznMc4HmmXH4cqx7hWf+nf+Kq++9g2IU0a55voLz1N98y2mI9iejjhdCO7XktsnFVebt7iwM2M0v8yyqXnz3kNG2hGtHnLz2g2GuuJkEJxW5yTjMVFS0FjJ8eN3OLn9DrGKEdsXSZ75MDvPfQvdwR2sbzjZP8A5mO3ssnvrFdqqYXzxCuf7D3nhxRdRh+/SD471acN2GtjauUZb7fP40X1u3nqJx6//Fg8XK27tzLn6qe/hm+/c5fLeVf6P33mDUs/4m3/npykmU6LukFe+89/j4N5bjJxH9i3Hy5Jivst79/cJ1WMGA6FZ8O9+6pO88NJLfP3Nt2hLWHSClYfKSWoPaweLINlKA24QLDpoejipA5NYkCiBDwELnJwuyC9cpzCCyWRK6x1SGSrniKMZWaoRvqXtPb0YocyE2DzhWQlJEmlscJhkglCG3jlkGhGpgI4ULlgkmsloSt8PdHWPCxLbW/rB4QaLFJK6qlmXJfP5LmmaghT0bYlvS3YuPY2Smn71kK4q0SZBqQQZCXzTE3xDeXZEtzogn17GZAVSpSil8K4hOIVvF0R9SXCB89pTtoF0lDOd7zLauYQebTOazOjWp4xGeySzbXzfgnc0nWc4fYQfGoYOTGL4+7/2lX/ThPVvffqvfOAmQ1ei8ozLV9/Hen1GpB1dXdH2NSoMKJNAAOcHjtcteZ5ybW+XKDTEeJI0o6x7zprzTUCLcLSdh64jiQXSsLGcJjE6Skh0StOVHB6foBF4Jzhd9cRFgfKeKNasaovQisWqYjwesb19gaFzTPKUcug5ONMkCq5cnJFkU4a2QknIxpsknr5v0F4x2A0tIAgN5SOK+SWOjw9oHt4liga6qme0I5klOVrGxEXG7QdrjEmY5ymPT85IZjmuG3P8+JxVM+Cd4tlnbnJh6yke3L9P2p6RFpKgNmtVwgd6CdJvwGsKGNyA7xuGwaLiEdl8G+dq2q4jHk0Z6hWYnEibDZSv9wQpCaEnkoF108HQoZTAW4uMtwlBgW0ZgOlWhD1ecPf8hLZzFLOInfkEUZfsH3seP37IlVu32L/9EInBdudI33NytM/F3Uu8U2sedYGoWnJ5K+LCZIu0SFi0CfeWDaP1fbblmt3dbYbO8HhQdKuG+XRGvrPLR3/gh/n9z/0SjU3RT73I9o0bvPblr5MX2yTPvsRazBGXXmKRjklGu6g0IVaKG7eeYbx7FRfnbD37LVx9/ha5K8mKbW6/9ftUJuLyzRe49/tfIhWOyFUcHt+jPl7wxtGSRvR8/N/6Pv7rH/+vNgmYq1OGpufo7lvYrcsMfc98/hRnruTlD3+Uz/3KP+KZbQl9zydefIYXv/VjXLvxLJ/42Mc49Avuni+pBo+QgUgGpplgEjzWgVACJQI4QSQE590mW2A6EtgOehE4Oz3DipgXLga00RBPUMLjpULqhLquQSXIJEdrTWQUvreEyGCUoe0tmzBgT7leECUxo6wgSWL2LjxFUYxpvadpN5yuONnA/3yIsdaSRDFJnFA3NUZr4lGOkhLnPIFN7GbwHf3Zww3GpRiRjXfQSUYIFj/0nB3exy+PMLMdlDRIF7C0YAckA9r2uGZJlEwhSunKJbb3WOtIx4YozYjGu9hhw7aLJtvoJCGKc3CWul0jjWI0GZPkI/7eL/72v2HC+tN/89M/8NGbG5JA39DUG8RCVx8idExdLVFRjh8s0gyIECGDIFYdozTGBo2zK06OzujqEp0keC/oe4v3FiED3nV4a3FBsWpr4nQHlGSQhtFoRGeHzZcgKdje2kMEh1QJ0WSb3g70g+B4ccJ0NCNQYUwgtM0GARF63FDTDZZhCIggqLsOZweslXR9gw2O0Pfo1WPsuuJ8saI9u4vA4a2gmKT0KzheNCy7QLdYko8zhHB44TiqKl764LcjSKnKMy5enjMbbZOZlAH3f3P3Jr+2ped93vN1q9/9aW9/695bVaxiU0WKFCmqMWU5sAAlhB2nTwAh/0GADIyMOAoSWI7lwI4Swx4kgwQeuJGbKFYsy5bVEiLFIosssqpuf++5p9396r8mg03P4kAIlMDgAjbO5GBj42Cf31rrXe/vecj3j1ivS3S1IFhLlIIwGUEJrNdI9UPba+hBSGzbYJ3FC0eeTRhPpojynExsKA5eg37DaLaHEY7gLFGcIU1K6EvwAaEMVdUTpKPtPTZEYDf4YLBO0GwuybKYgKZulljrSVTM6WLO2cUZN954E5sWfPTxx3z04XcJOiYpppTRlGfPz6g3Lzk/nXPnzjVeXSy5aCIuVwum64/YO7rJwd4xVddwXnas2440jfnpX/hPePXdbzO491m+9+EjVtWaZe1Ynb3i4NpNylcP8ZPrVKFmOih2J7um4nCQs/Hs2jhFxvOTZ/Reocczbj54k3o+5+5bn+Xx138HROBKFSxWPcp5vvHihK7r+YMP3sPLguWrh3zu83+amw/usSc3mMLwmde/yB9999tsXz2G1PD13/wHpMMJ8+eviGfH/Ds/dofk2idxMqHrt3z6tfv8W1/5Ej/3hTf4zL19vvi5B0wTx2q5YNvv0BXKCmIJ1gdMgF4KRC8YpIGmA98F2iSmWr3g3vUD0vwI29W4bkMIGmSyM//aDokkCEfX95h0SJKPcM7TdQ5cz7pcoG1NohyvPXgLowWlD9DtxitCyd1ivtkxMTwdKkrQ2rCYz1lWC2zTESmD1gphIoSMqcsr+mZD6B3F/nUOD2+TDyf0tmOzvIRyS9c3FLPXcEj6oHF1R+8lTeNprcaqgj7a3XEl/ZKyb8nSmHg6xeRHmCRGuo52uyEfHSLpkCqiKisSAWlsOLzzCbq24n/6e//i/18Iy//Xh/c7X04WFzx//pyz8gXjYsTx/oTycoWQmtD06HR31utEj+vXOC/JR7fo10taCXrUsl5eoBpPJyri4YjIO4wyhNYCht57gjBs+wrftAzSCaiOyfiA2WhIWZaYeo7vyx2H1cRk2pAcjslji7VrhqO9nc0TiytXKCPxIqbI9vj+6fuYpuPoxk1CgKbt2F5dkQ0T7piW7WIO2YyuuqCQMVY7kjzC9oJF1SCJEM4jYkNftYz3EpRvmMymBJ0jcs/tdz9PFif02zXSW64/uEcoS3jwOhfv/zZZ+RgpPfrYEKkhbWFwVmFFDE1N6KtdA6tzdD6iFivSdEY8PCA9ukm3eoWWHevlitYF4jgjTzRqu2Bwd4+zq4YozynZ0FcNMklwdklpHXGakYwO+dLP3ODVw0e8/+Q548kBd6+nPHl+xq1tzsenG77/2/+UB5/6PA/uv8bD9YaXlxcMP/qIbbrl+HjG+++/pFtXXHUZL1+esM0USTFiOC85urlPSse8tvRCEwfPunV8/9u/xeXFiu88PeFifkXnW1pbkuUzWiK2jSYsz5HJkLPNGWkypEhidLCwXhOGU9rFksj3CN+jZMwfvv8BdRKBC4yHKZHsKZYbHnp4bw5ox+X6JftFzK///b/LT33py2xPP2bQTPjuh8/5L3/hi8zbJ3zinS/QPH1M1SmcSzl/+ZBZ5DnMNa8+fITdRhw9+DTeg4pjUiEopnscDTRowyfuHPMLv/AV/tnvvse3v/kBLy5KXAVa7UoKsQ947ylrwSyF89Jx9vgZHxZv8+WNRI174mxCqBWNtRBFaJ+SUqGkoPeOKEpAKITRiCgwCJJ8MKJcgOtapMkJElalJxvs08olcQfzdUmsEuoe8jhgRI4nUPcldV2CtdSyYa1LRuOCJErw7RbXObAOoyOGRUYcSRyBri2Jo4hKa6yZ8uGLV+RmwP0Ht2mFp6lKVDrAC4swKaHr6P3ujkwRaGuYZTOibEYINWQZj158n9fiAoNF5QMEKU21IJGeQVLA8Wt/opn2b8YV6y//5a/9/OfeoO5qItcgg2N/kBCiAUE5CAYVgxDgeonWgiiOyWKFtTXWbnHlGtvVjCZjIiHQIuBcRZ4XeOeRwuBcyXa+YDYc0IdAohO8bRC+I9UKT0IvOvq6os9zQGCrOXXfUmRjkiSnbRuc67hcLDH5gDg1JIlg/+gWcRLT2g4hIrSFbblECslyuWT+6DuM4wSXa5RoKKJdKyVSnsWyJ881zrdkyuFxjAaaJFWsyxNebmPeuHUPoQWNs/TBEvoeipxi74DN4oqqWtNsS1w2YClnPDy9on/xkkGxa6FoJREalAwEkSBUTNvXiL5FEhCuovI9vu6Ih9fJigL6FXW54OF73+X86QU2GbNYNrSuYxsUrTDUm5bWVQxHY4IXoCQqGVNbRTyacufeGwyt4OMnT9gfa4zxHE0Nw9hTnT3i2996n2WzpOk2HF+7zWq15dd/53c5vbwkVh2vzk7o45s8ev4hUiUcdo8w7Zbjtz7PNz74iNH4iLbdoIHvfvyQeO8251sPQXF8/xrrqsJuVrC/R1U2HOUKqxzKB2Z5zo1xyknlMePAtm6YTQ74D+6d00QHLDaXpKJnfPsNXj78AHnzDQ4++VN8sJ7zY1/50/zkT/0ZXl1dUa7moDRf/NK7ZG7L4PIRrnSYtsMXknwv4/Zsyofvfwec4PHFI964eZOx0bh6wRt37qCMx8sGSU7V1vTNlq49Y9t54iRFY0nzKa+9doMvf/EzfP5zb0DYcLFYERQoF4jFDqTddbA3/KF6W0perjq+8O5buweaWmKUwXgHCpquR7BDcz4/+ZiPH3/MyMD1/eEOTm1gPBiTpgNkCAzyEUr36FgRCYV1Aa0j0jgjTRI6IYljiTIxpycnzK9OGY0PyJMxF4tzXB/R1RV9VdJ0C4IakY5uMMgMRiuKwZizi+esXjylKiv+5bde8P1nNe999D6feXATJWG9uSJOJ0TSQGqg34FVWmHwzZZ4MkUrQ+NqsjRnfnnK+aP32G4WFNmMPpki2iXt+grvHKuyYWt7/tbf/Y0fsVHAL//S1/7c5+9AaMnjEUlkSIdDpN6xIb2tyUcT6vUcqS1NtXvqmBpNazuKOCPPR2RxyqKuefj4GfNlSVIU5HFG23e07AIliwSRMjjviTQkUYrrSlpbM0hznJBYGTHIE4QpuFps2ayWSGnp2pbO9mRZSpxk2L7C+kC3XRJsj4oGaJnS1g2LakWMIE00tDXBe6aTIUniUCpgvaSre1bLlq4TBBnIBwZvPfv7Y7RW1PWK+dJy/xPv4OOAajuyJEMLg1MRRnbYeotzlqa3yDRBSQimYHJwyLbR9OsF2pcMMg1CYFSKkRIvPFIAXu62IrwlEwEvJcF3bC9f0eJI1JCTZw2HZsL1T95BR0NkNGKQ7gDj8WhK6B3aO2pbU0hPNJjRWcfDszVexiR5xI0bd+m7mPXyKZO9PQyatIi4PpEU0lFvPYv1JUc37/PW3Xs0jeV8W0LbE6eBGzfeZrtZc3XyApKUm7fe5Bvfe584GyKV5Kpu6Io7vHi1wvc91nbk2lCuTtiWFaPhMYqULIK9RDLLxhyNU+q2ZxYrRNlzGGvKpuNfPOwQUcrh9CbKRMi+4/Of/wm6rmWz2pLtj1m9eMLJ+XOurs4JbcNeoXHPnhEu53idYaXg5WpDZCU37+7TbC7Ii9v8/m/+Hsl4yLWb90naK67NZuzdeoNkOOTxR89YXF7w4M23aZqWZnNJVe9g0ulgipUKkwwJ1pLHhnu3rvOpt67x7OQJq7VDBIlWILyk9TDKBItlhchyfvbHPoEXEIIABMYHUpGQKEnrd3/rj56cc30y4faNfdLRlPXqgk3bID0keUYaG2QUEZkC21YIaYDd9yoxCkGPEhDtPAmcnp6gleTg+C7r9fmu9SAN3gmq6pLR+CbDa68xvXafp4++x+ryGecnT1m8fELXbnh2tebZ2rEqt8j1BV/83CcISmFUitQaIrPzVSUxvgsI70nygjjP8dkB/XJNVS4JvWU62CdXEus82SCjr1a02wVxcYg1kBYz/sbf+fUfrWD9a3/lL3/tF77wBr3raLsOoQZkwwG91Kw2DR+frrnadFQ2QJAo7cnjIbECKSKCEKj6DJUOyPIRAcV4GOOqlnEW44Ojr1rSfEaPw6Q5wXY419O0LZu+Rd1dSuIAACAASURBVPYeLyRaZ8S+RSmDl4q2aUhMhA0WZIwNllgqhK1IRYrfbpFRgrSWTetYbTtWVUloA8NRTjYYsdyuORophnGDloaqsvRlA0LS4zk8HmJbR2lbZsMhr84uGWcx33h4xa27b+J0jLM9rmsJSQIYdNfSOtA6w0uJa1s8AR1Lggi7dSmT0KkxrrHESUsSNmgj6JRFqxgtFcE4jAJkjA7Q9Z5ue8npqefly45IDViUEpUljPcK7nz6J5AyJYrHZGmMig2T/RnltmZUTHEq0Cwf0vUKrSR7B4dIE2HbimEc0QTJo8ePmBwWmCxHa4FRPVnseXTWs7o44WJ7Rcya2/t7nF6sWF1uuLh4iHErpq99kfXJY05PH3Nw911On3yIzvd4sbDo8TG2rsjGA3Qkmdcr7HrF082Gu9eu86lrCVk8oMhyUDvOrLWQqYg2lrjWYkLJKPKwvMIJQzCe0fiAZ08e8ulPvc7x9Jjf+b1fY7h/wOk3/ohqWxN7waGB+cKTDDNConl0MWdQFKz7lmvX9riZKYKz/NH3n/Pm4ZCTsx9w/8YRd+6/jc8SFI7zZYWMDG27oa0qokQTxwXYlnQ8ois9PQHTbtBRgvMleZbz4/duolLPk7NLCBD53ew1UVCqmKAEt+7sMTu4TpxmCCWQoQWtUEHQ2DWiCwyyAXFk2SsMmAjf1PRdRy8lRkq07wmRQ5psVw21Dil7HGLHPzUpXkoIgb7vqNZr7t76DMJAW60gKIgKXNejsxnDvRlJMSaKM5ROePHeb7A4e45HkxYTbr3+Dj/5mXf5+OVjDkzDzQdvkRYDHB6jJc6C0jFOaCQBp1KyPMZ3HWW5QeNxVU0QHmXMTiKYpgyPbiPwdHXH+O4DjN5R6f6Hv/2//2gF63//3/23X/u3v/gWwpZERmD7Bmsdj08vefTikqaxLC/nlHXJaJQx0wqjBDWWri4RyZCmXGOrLVXn6VxHWVUUhWY2HJOmGVK0aN/hpSdNh1zNN0SRQWCJlKF3PSYfAtDZnqbvd4N11wKexHl8JEmihLYqQSkcDhUrnJTkxRClBcFesZ8PcK4myock431GsWQit0hh6K2lazoQMBgUTA8GOBxprIgALSRRZJgvL1HRjOz6AxAeoyIIkm4z56LaEvqWdHRAXW6QApI4wweFby1VU7GYb+kbR5TGiGxCp67T9zWDsMAIgdYeZzRGGIKSSClBBoy2nD67ZEvCazNBRkNhW2ZHHfL1L6O3V/zUv/tVrr/z4xyPFFevnjLVY/LJmG0Fo9EBxfgI6TuU31BVl1BuUPWSrq64fH7JbARu2+KrNc1yw/nScbb2IOA49RzlNTdTgbIb3rg+4gsPbpDqwESNaMozQu84na+xzZbPfv5n+db3v0M4eJ2+9eTjHKEVUuXYcsHGtsyk5G4iyYaH6H5DbSWJqwltj9a7maNvd1JEnQxptg3ZMCH0LWa7ZTzKmC/WaJFwdnXBwBTkR69x6/W3uXXjBqvNguzWXf7Mn/t59HTKe++9z4Mb+3x8uUJJz+LkJW++doMHr9/k6//oPdqhYf9gys3rN0jVLlT7YDk6PGJv/xhcR28bIpMQHEitaSpHYy1XyxU+QN9sUTpD9gGTjLj34D633nqbH3zwPbaNQ2tBbwP7I8O68YR2xc986Qs0SkMvaTZXGNeBBN92XJU1SnkS0+E6j/fQ9x1FkYCMMNIStCBYQMWo0GMBJzzS7WacwoJvelxT0XQV+eQ206MxUVLs2B9VTZpEVD6QJBnC92R5hMGRphn16hwtJUIqah9hm56ewFuv3aezC17/1OeI04K28wgTo5IcFSUYLL2XeCcYjjOc0GANyI7eOoSMicZTIgFiV4dgu51z9eSbHN/7AoNrtwjW8df/t3/4oxWsv/yX/uuv/Wc/8w4mKWhDx+VywwenV+TZiCJXTIcxd28ecX0yZFZkOJWAcjgfkFGG0Zqrs5ckcYqyDQeTI6IkYX88JFYxcayxfYM3MCmOsbZC0yNsgxIaoQTrVYXWKYkx9H1J5zzb5ZpEx0RJhHMO15RkptidxfueYnKL3lsiKXCuQwhJHA0w+ZDeBUySYoQgffkNFus13nsSYryD1BiySYGwkuAF2TBCK0e97fjw5SV7n/wKwqSIWGNDhDEeZzVXrePpxYpE9MTGksaSulzT+IhlLaisQDrQoiNOIoQSBBRNW9Oxz3mTkdolg2iN1glSCoywRCJCas+rk5LWKmT2Gu8/fUl84y2CjPjge1/naBbTNAmrs2fo9RO8rZgcvY6nBnpuvvYas/3xzjevYiYHt5HsWJyb7ZZ2fUmQChsESTpmMs4oBjlZ0nJtknBjEnPj2ozJcMQwTciKDCc6GlcxUdDWc5xrGI7HeCSni4rvPX+IDRFicIBJE6IQ0J0gyQVXz77L/mCP+4OMxGQIX6KjhDQ4eiMRVtA6j+8cXjSITtM3NU1dMspzjElouo7m4pzcBJwSXF2+BB2w25bZ4TEvnn7AdApFpHn24WPSgUaKlO35c6raMwDWPqKstowLyYNP3+Pp+Qlf+vSnGQyGoHfh5KqKNmiyJCVSito1dJ2kunhIlETU5RVl09O1G5K4wAeoLp7QbhaILCFPR1y/cciDW3tsy3M25xUxEi0CpQU5u8lPfeHTCGGwZgeQr8o5UT5A45ikPV2/Yv7ylKavibqK9eIFuYqIihFJGhObmMurFW2IqPqAD5IgOlzrefn8IxYvn9GfbbEtJEnO3vXrFKMB84sLtqslZbvGNi3Ndokg4LtAZFfgWjAS4RsSneNNShalOCXQemdZvnXrDYQAlEAlMQfDCTIrkLalajbgJC4EskHBeLBDIeqowNFhpERGA4Ts6ZxivVyyN56yXm/YLJ4z2b+Lk/ArP2rB+iu//Etf+/M/+y51WyKVpPeKo9GIw1HEgAqtFLNBwWT/iKZZEYIiL3JsvSEtpjvnlUoxScZotgeJYjIaIsKupeF7i4oUqYnw3rHe1oyHI4yQRFmKloI0SX/YHmmIkpThaIbXOc+ePyYtcrx3JCbFaxC+gzgnSVOcs3jXI6TGWUE6GND3Gi8cRZri1s8JyytOH52hixFK7qSEQYHtO7q2IjWa9VXJkxcLPji54ME7P4syMcZ3rJs1y/mKRBmSZAeQGKU5PYosHSFUoKkbUAnrbcnh0U28ihD/CnSsdhhAi6K1LV2IWbY5qyrmzfH5rpkmdjAYayWPHm1YN57JtTskwTI4uMn5/BIZIp58/JRkCL6p8bajKbesNqfYpiJOY3CBdrtBRbuRik4HqJDjcSSTCcPDI2LRkEaG0lqGxT5tUAgX+NRP/FnWZ8+QateCs04RtEDZCOugbNYUkxF3DvfRoqPqKmazGZd1oEOhsmO0EagQsF5QDDSnl5ecnz5m5lqiYYrQEUkksAK6tgMNtmsYznKEBUuP0po4imiVZnN1QTqecLY4o25bDtMxcZaTiAKZpzw/fc5Xv/ofMxof849+7Vd5cO8N+tWatNvQx4Z7ccTLsibIgIgizp6f8J3HL3h5ueXeOKEYTOj7CutrmqYj2IamqanaEuUtQuWIvkTSobB456irivEgRTcty+05UmmyYkDbLlFCMjq4zr037rOtXnB+tiGyu+JIPL3FZ9+9w3A6w5Ub2vUpXgoECTLfZ70+IdU5IT/kal3ifEPbNLS25MaDLyGTCVtn6EKOjjNwFh9AuBbXBR5++5tENkElA7KkYLu8ZLE+Z+/4BrbfbVEHPJ2FJCmIszGDLKO6eEFbrjGip69qAhovY6yAHkVhUlxnKWZj4nxI0/dMixmDcU5vW/qmoW1L+rZEhsCTZ49IqRnuHXB1eUFXbegDxJFA6YhyW6KQHNy+hUoGlKuSsxcfkBYj/ubf+80frWD9a3/lL33t3/uZd6mtRXYBpRzFYExwgb7qkPmEVBvyONA7sG3Ptt0iQ0xZbdiWKwZFztBEeAlGCkQIWO/wXtIJj8AgAmTZCK+HuKbExAolFCbaocSaekHvBUk+wbqAbUu+/fFjoqDJMkMcK1rbE+mUIDRdtaKrd8WF1nqQmlgHSgS+2lVXB+0VWrb802823JxBMchZrnuiWNM7Sdc4VpuOl5cll0g+8fZP02wvSZOYZDym7RMiI3CADIrOS+q6IjMamSY7TKGIELZhNB3TdWsiXxEXQ2Q63o0fXCBKMmxrUbZh1UicHPHxakbuNAfZEhH1/N4fboiCpiJmMNhnfzrkyUe/z7wRrBenrOcNYXOKNA2CHu86QlvTdmv6zYq+bdDZ7h8BGrTeNXyiJCH0NV4p4mJKnBomg5jEjEkGNxjIlkcfvoeLY6ww+LonMQlt11DaNRKJExFexsyXG8xsytuzG5ysNRf9lqaGLJvhxY6/qbSgiDXfffEBatNwZ5iRJIY0ytGhQ7OzOATXYlSEbyxKOExs6FxAKItdLndXzL4lVQNm+4dsNxUyVugQiHRg6gXPL15xcnXCxDQUm8fsD2Z0ezdpXj1j7ivuTxNGsSfqAxdXLW/dGXFrpGlry3a5RscxErB4PLu1prZa45UmH+1jjSLG0zoYFBPKukKJDhNPuH37bbyKsUGANgSTor0ljgW3D8aM9kY8ffGCvgvMZkcMBwHRX3H58kNmx69hzAArHCEaoqRCS81kesTBwS2m+7eZHt9HplMG0z1ENiCOI5x3RChMFGH7GoIDAlfPnxDLAVk8RA4Kurbl/NVTbt65z/7xEcPRBKM9oi7RGoJ3lM0Vgzhmun+A9ZK2bgkK+iTGeRgPp2z7krpaMxzv0doOIwLruiUSGtd1lO0W4RWdiwghIo4TlpcLnOh49PgpJnhcL3burmBp1qdMr79JL0GQkE0LxsUMpeBv/P3f+tEK1r/+y7/0tT/7mVvESYJKC5QLqDSBvsGLaLck3zVoCc62REHjlGE4KGjrkun+NVzTorRBa3bNIC2RKqLvO5JihBLsapqKnaLFVuRRzKYsd/oHFfH8xWOCjmnrCh8cRjrGxZThKEebCOk9trM0fctqucAjMVrR1Fs63zA9vovO90lNjNEVaZQRFt8iTvd58tEZVQuNVvR9wGJ5Od9wtbikMQXZYMzRZIKMI1ASGQR13yN8jRcKoSIWTc+mqpnlKUlsaL1HOoikQEiP94phnNBsVnS2JU2HBBzlZsNgWOzI8ARioxEBTDLgtM+Yr4acPl1ig8b6jvHwGsX0gEhr9kYjNlVLuzpjtamJgmB+doUNkiQ4tF3huy29q6Br2K4vCEKhlAEV4ZWDoFDCYH3A1VusA1PsboMTN2e5OKeVCvoeaSFgqG2LFhbUEBUksUpJZMCoiM4aNv2G00VN1VSsvaGrNqgkw+KRSpFMMuqXjynbjltZxOT6dfqQ4v3Of7aue8ZxBMoj5Q89SG1PrAVt3ZKmBm8hRtHSoYQhiSKUjOhtRdc7fGgYCs38/BWzW7eIB7f54MMPyQ5vcXD7Go+ePEbgSIPjrdsH/JNvL/np169hQ4dRCWerS2ZxSjxMkCik0TRNj4hmuLamaUvyyFOMjznbVpzPG5yzpAqsjKhCjHdb+k4QhKWqKtIiJ8kipEi488lPMZ3mPP/gB0xmx6wvnzOc7KO8wNkl05uvUVclQkrybECUZwQBzjU7zYsPmFixunjG9Pg2QUUkKkFJR8ASnENFCd1myerRUyRmZ0MVhtB3dOWcVbUiMpL5+Qvq9ZLeeUIQeNtgV2dEumO8NyCo+IfFhYjB7DoyCJYXL6iWLcVoxPRgn75tGQ8nuwfOmys8kESaumqJ8gHKKEyS8Km33+bVyTmy6xEiRsUxQqvdBdd2xfDGfVwQ+GAxUuGCx9Zr/tY//oMfrYJACLDY1Iww5LKiN5q+qpHBMN4raOs1zka0tqbre5IoQrcV862lyMbYekVNjPcN3seMzJh6u8bpnt62dPOdUEzpBIfENVu0ttjeMhoMqcoKnUVcu/6AR88vuH1rhhEepQUywHwzRydDkvQOup8jVUQ2gqZZEkUZ83VLlqcsz18Q612XOcbjNt8nig3Cr/jqf/g2m5OS0/mCbSeoe83RjVskkzG27im3S8rOk3Rb0nhMkAYhHDrdw/YWsNw4usnZo+/zarHk1vEhbC4xwz1815KND7DWM1+vcTKCvmZ99YrUaAZ5RLUtMUjiOMZ7T+gqhNTE6xLnrtiWFhEHvC4waYpWkBxOmT9tGciKH/9sSjyY0jeKvmrIC8Grcs7D98443EuJBzkuH5IUQ9rllmqbMygOMMkQoSOcEsQyQmT72GhN31uCSoj2D3nr+DN8++v/kP3Xf4yweYksCjarLdWmYr6qWAVNpA1JOkJSU9Ud6fCI+auX9NYTfEcvDWfPP+b4cEY+zghVS5QOaE/WdHVJMr6Jtls25xek4xnri6fI7A77SWC5qgheY/KY0DYUKqJuYZDH2N4j6jlJXFD5BhrDYvGMo8PX0SZmvZ6zN9hjezpnjWRw+22+/61vcLg34MGN67w5HROpiLZd8x/95A1erubkCUgFMpqwkYH52YpIOswPLaZ9B+lkgPGaxRouy2dYu3Oy1aXjqvGkMlD7M+IopWwa7g1mtM5ycXbC8OAQ1zWkiyX337zPf/pf/CL/6//4q6yyhC8XQ5SAwTinXi9JogTX1nz8/h9wcHST40/8NKfP3md9/gqtYuI0w9cNkVQoK/Cx4PTZM4ZJgtARj54+Yf7sIVFVUpYtulpQFwtEJDl+5x2UgA9/8IfcHB2Q6oJkdg3rHGW7ZTQaIVxLMr4JxQhTVcyfPduFclUjYMefVYrF/JzR9DrWO9rtcgfp1oamqVEmZb3acHx8k0//+b/A8//z7zDZ32O9KvFxyngyJPgWJRqkCSjh6NZbhHQ41+5mt2n2J5pp/0YEKwSGsxHDPKfZXBEpCSairmvWVUlkEhIdqJcVvbWYWNF1HWleIHRA2pjZMGFdBRanV1zxbAevXS4ZJkOyPEcnY+hr2rYjTlP6jaRtS4aHU6RJOD07YbNYcLx3jSJS0FhUJEgGAwZxRIUG2eCDBOeIlUPqCGECR7PRDn6idrev8eIVsVwQxwa8wDqLqrdQFNhSQKI5mowZHF2nnF9i0gF5OiJISPqS5oeMyzSbok2MXc/ZLuek8zPSJCZPFJ0PSJOxWW44vPU6Xb3aGQ+ExUuFcgnS9zhT4INBhi1NvSSKIrQSWDSD9oK2vkRpkKpG2IRISwbDApFmpHKPxl0wv2y4QJD1MDnKybIEV15ybwTTW4qPny7Ysy1jWqRYI9Mx3pdUizkehZMpyhQAeBkRRTmdD3jX07SWSDjuvP0pzt//gMHekCTeY/TWOzT1htnzp9Ruw/nFkk17RWIipmnEdntF5UqQlsNixny9pRAt3TZimy1ovCUKCaMoYENL2D6nvlxgkgLfeaazAbjA84sG4yuc2SNpe4I2+K0lzwXe1lgMw2JE8JZEGjCO2eiAqlvSrDw37+7z6uULiskead0ik5RbX/4KTzcLEiQvV894c5ICEflowGKxYFbEvLo4Z5TF9P2SqnQ00Zh1U2Gc4/hIU55vkcMEM94jVhlBepzfzR/X1ZY8rai3AXJDkqaczi9Ynn7McO+YomzoPUjfYrua2bBgdn3Mk+cnHNz7FNl4SKwTrs4ecvrofRYXz2gvTtgS2F5/iXAWu11jdUzbXnFrUvDRd36Le6+/y9XpK4SziEgyf/WM3/zn/4Q3777N3Xfe5uR736Vqdie0wf4+RnU0y1dM4oioyHaao9mQ5cUVwyxldusOwXlaqVC9RWeKPE9ZXp2wODslNRGdrRB+St8H0ihmsbxiMN4jzcaUdUWvFFp4EtPyqZ94B9bPme5N+OijjxnMZuTFGFvNEULSbEtsB9Xikigd4K0kaEXoLEL9yUbhH+vdhBBj4G8Cn2QnFvzPgR8Afxu4AzwB/v0QwkLsiNh/lR3sugJ+MYTwzf+n9++6Dhxszx9S+QxZeyI1R+oB0u+CrOkcrbfkoz1UkjCQhyAc2iR0vsY2DZHJmQ17PDkmG9L2jthEJLEixB193xJahxSeqBjhdYzpPUoKhkXO/mBAlKcs5lsiHRF6i4wN1s+ReoLRgq23FHlOGuVsN1fIdECoLql9RESHsIHYXSKlRGi1o1jlOe36Cu7+HNePF5je4qsNvWgojm5RuUBEwNZrWjnePZjTEZPZEdJEeBlRl2e4yJCKmI/ef8zR9SMGsxmprcmynLZfoZueSHi86Ej3DuiDJ2p2c0FLhI8TnDB41+BcRVW3SBlj+54oSbC9JEtHdEEwMmOGk4SmXtAqzQ+WCaP0Gv5bc+7edSST1+nrE2zXcpA4Dswa3zbYKiXs18QywUQJIh9QsyshtM4jvCSICNv3YDK8T7D5iOrsQ3Qe42vLi+0z7OKUSE+IlEHEE/YOIoqrlwjhqOsNjc8IvqPVBZMokKsGJYb0Zc35kyd85se+yPjdd/md6iVX6y1Pf/AxewdjCimQUYTrFF7ttOHTIiMa3+b5xQk3DsY8evQhmS9Y/XDNzkYZgt0esVSBSMekiaZbnXHxfE6U7LHanGH7FtONuZ5n2MtLtpRcKwRKex7cusGm79k7PqTarIk3FfPVJUm3A5OU9RonUho/oHpxzkERODr+9G7+6Tuc32DFCKMThGt2xQXbU/uGzEki1eOiHCUzHr14wsHsBmW/ZnF1wr2bd/m5n/8KcVJgxhkGDVqSTG9z6EC6hq3oaf2K0LYEEe2U0q0lzR2lq2kWV6xvvs3o+AHX8hyNYHZ4H+Pgj775L4n3H/DJL36BZ0+eMzq8wdGtW1jnmOYDkniE8w0iG3F07T7WG4gNXWcJnUUlETIS9PUCbwKz2YTN+XOUlKTJAGc7huNDympDno3oQ9jxMdKCLLWsF3Pi2PH1X/tVhImQUjPav0ZsYtp6TlnVqKbFllsObt0jzTJ674lyRVMHgmxxTvy/jND/++OPG9N/Ffg/Qgh/QQgRARnwXwG/EUL4b4QQfxH4i+z01z8PPPjh68eBX/nhz3/tIYXg/PwVeZKSx5AUOb5PMekAX63oyiXLxQVpMsJZz3a9pIg0fR1wYUfhURLafk0IjlTvxHhqNsMoi0DRzJeUqyuy6TGbuiIRnlGcUJdzXJQzmY7p+57gJFmiiafHaCM5v1yS7H2WNMtQzmKic9IsYr2cM4gUUZozHzbU6xXrVjKNLEr1iGxICD1eCmrbk157h14rYj2mFWviwQ0iBF5kmK6n7ZYsliuKIseWS6Jij8tXH5GNJtjlBevTU2RuGM8Oee0Tb2CdR8Vjms6yXq/pVyuCrRBoCDF925MWOTJKcW2HCxVCBoSrScd7zF9uyKVBRQH6DmMD1htMkhKbhPHYcH61Bh8IMpCMD5DeMHct732v4xNvzLHZGHMQce0wYVs6lq+2JG5O5gXRKEOGEdL0GAwiSjHaYFtL2yuS4OlXK5wQVO05bXnJR4+vOK8Tvnj3Lp1JiSKF1ArvQSqPLK4T+o4smvDBHz1lL4+4XLeslo7cSI7EgmjgOCsHfPjt3+P+J3+cz3zmT/HN3/tNDpaXONMg7+5j/JbSdhwe7tGIiHq1Yrm6YNRueHrumKiCkh7kCCVbFuWaSMSINCFBUK4vKUzBbDZjvnzFIEvJREJpEipX8fDxI+7fe4P29Amja/totSQpMmRw9BtPceM2x29/iYuH77E6f8Gr8zkqwN5sn1UTePTkkkxkiKTA5DHeKnSnUV1NEyX0Nma1WiB9wLWSJF6RTQ9w1nJ+9YxRkVA3l5BNGR7e4bSq0cGwWj5kejTE7d1D9gNSqRHjA7x3eD3Fllecv7pAGM1w74Dgaqr1nNNXZ0ymBwghMUajIkOcJGTDAW+8+1kyWeLrlrq6ZDKZcPPebUIyoFlcYIyC4RD6hMXpExYXTxkcvYXzAecDeA+2RitDqHsSH7Buw3h2zOGDN2nWa+pmA22JTwWdDwgMqS6woaHarjER4BParkSJneHWugWKHCklbn7B/MUrpgcHdJuSopjSe4d1GiF60NFOsf0nePxxnFcj4KeBXwQIIXRAJ4T4KvCnfvhr/zPwz9kF61eB/+WHJoHfF0KM/5V08F/7IaKYew/eJNKSs9OXyCQFA11bMdq7jl4EnMixXQ8SjJU0TpAOEihbKh8gmyFVyyAJ9L3Fd45+u8APhkjHbsk53iMyOVk2pW9qeh1I4j2UUiAMwnSQCLRM6drdukmWJwTRgLX03pMNr0Okca3ABEs6nJJ2Ffl0n0gPuPrdXyGZDvFIvPdILdlWG4rJffaNpqkD2fQGtl2ihaZxG0KosbZmtbXcvnOLZDDhcrUiS1Oq1tJuLrh5MAQd42RLnO4T6Yy+60iTBOe3WGFIBzfZLJ+CFFB1uESjoyE+13BxCrFENVtsmSMGM6hPiJ2lNB5l1e5kFHt0Jrn1uZ/hvd/9Z7ReMs4hpkNGKSbK8DrloxOBtQ2YjGZVc7vo2MsGjKZ7rM7XyJM5yZ0JVQVOaXzwDMQlNp2igsAHg1EC11SU6ytqfczdd+7x7Nff4/k6cDBM8MExlBoXLH2/ITIxy3WJ15KQBKqtY+4KJq6hVLDSMW/NMtIYnlz1PD95TDo+5saNNzh7+h6DpiY9/TZbPSHNBpw8PWF6sI+PE6aqxs2myM0lejBCi562cYQ4xuiY67du8Op7DyljgR/svj8mEoyHE6SDytUMoimp0SyrBWfnr4hm19HnW956UCCLgn6xRKUNQo7prh5zePM6s70x+YFjNsvZri8Ylw1HsxEX2wWnLx9xY/QlZKRRsqVxCp0OSTuLdHNCFxDDEU2/Is9zrh3f4OHT7+LLFdfvXyf4GNvXqKjAOsXR7E225xf0VlMLw3j/mH55xnR2j7p/xsOPHvHot/8xZT7gk3ev8/q9Wyhaeuvp+oqubcj/L+7eNFa27DzPe9bae+1513zmc+7c9/bAnptsiqIkaoLkWLKtQHAC50cgBLER2EYQ2AGC+Eec32JL9AAAIABJREFUIAYcxEGsBDAQB7EzO2EcKbFshXJIU1KTajbFZpPs6c7DGe6Z6tS452Gt/KhOoAC2ZRmEQPgDCoXau3ZV/Si82N/0vFWCKEFLjVIKW2q6gzXGjz9kGA5pRY82z6Cu8F0XN4ppixnV+VMUsJxMmYzfYuvaq9RNjrAFLOdMFzOS6Smu8uj0NqhQNEhU4CDcEcUypyVnd2uDD9/9TTZ2dvG6I3zbYblcUhcVrbZxlYtlWrBsLJNxcv8bnB4tsK0Ygk1UGFG7LrZsabTEUj6mFdjtH7KZIHAVOAf+thDiZeBd4N8GNn6PWJ6w8sYC2AEOfs/1h58c+/8JqxDiTwN/GmCjH5GNx2hlCIMB80WGsiSdKCBJJzQCbFdRCgv0qqZUlSWBH1PIGHt5gadqMAKpukhZ0NQJxvZwhL2i/htNa1lkWUIlS0axQzZfULgeujEEvk0QBJTSp2yO8RyFRNHWGbqowHaJ1i9DnZA0DoE0KL/L45NzBlGfZDEmOXobN/Yxro+oC4qkQRiD2nyNk6MHdMKADEmx0LiWS+B6eKKiNi2ea/O5z79JlieEcQe302c+HeO4Ma1tk0zOidfWqfOWMJS0piQIIqqyYnL0gGj4DDg2chastqhETTo+hr7H8uIReZnSLgri/ginyvEwWDoAMcW2bVzbITFiBdMIYmSeY7Ic122ZjRN86ZOfHtEfrqFbwfjsGN9yyUjx4w77reThPKM9nuE6AxZJjX825aVLGdf2OoR2RCt8Qp0CGaW2qZVLUibYtaQsbA4O3ucLL12hPP6AZ177M/zO195FrTVk8wPasqSpU/K6pMkbAruh9jzEsqVSDsp4dLZ3OchKAmou3VyHuE+dV1y7vsH3LizGC80oSmlzyOuW9Ws72F5A08JkcsLW3hpxp8d8NsHRAqcjEFlDVhY8+vhjLAlKeXh2xGIhKOuS0I+Zz+ZE3XWUsJkcj+mNRiAjlpMJyzDiH36ccvXpYz61rjGhhxIluk5wpAe+RewZ0rOHdC/dQC0XZLOM9a1dquUYt5gSBzH9zXXc8CrHD74DW0Mm5xdUfkRbzmilS1q1RJ7P1ugSZ+MVwcvyIowU6GSMEIaF8NjYfpZG+FDMKCZjrCbH64fUT0vGTx+TzpaU7RrvfHAP17zCM9efYW24SdNUFJMDEr1AWXs0bclsfsjy7D5VBmF3C+n3aJqGBpCfQLNJFwhyOmsDFhdT3N4WMk05uPcemAqjM15582e4//h98uWS9cvPkaQpMljj6PYdhCjZu3aTpJxhMsO9i1OWZ8dsXn0eWzjkplit6HrOaiHCC9FVjigLKr1EaYtsUuKsrdPpKaJRH9FKksWUwfZl5nlK0FhkdfbPp6D/hPhnEVYbeA3488aYd4QQv8wq7f//whhjhBDmD/LFxpi/CfxNgFs7QxPaHS7GD6jsCVbY4+reDWaLBfPJGMcbYMmW2IJZs4Is5yiyg8eEgUVbaApLAJIyWYKoGfUjolBQNTWupSkLQzTskac5skhYjCvy9AwjfTrDrZXZX+1SFWPassWqTqnbEu2F2J5LGDnk832UFxJ11snaHOqCbm9AXcxoP/4qtrOE4QaO8qnrGsv3mE5yvCTFdmPy0qLIjjk/OWdz5wq5WSIH28SDPUxdMV8uUabl7OwhveE2luMwufM23U4HI33aesH5k48IhptYVoCyA1qliAYFRuc0i4KmXOCKCCf0EI5FGDsc3p+ggm0afUw2nmM6EQqHwfYO6fkCaQusWuN3Y1zPIisqnnzwLbQUVMkCS9iMFyeEwWC1m50X0GrmyzFx6JErhywrsW2PSrtML04RWnGRL7lINF9/WOE151zfVPz4G+u4nT5t3eJUh5CkjMsdiuSEQDRMVcR5cImPf/V/5/lPvcCTj+8RuAna1IRCEA82EXnF4fycs1JiyxptewQKbj98SCAka6LmUuhjr43ohuuo/IjbpzWmMtzccSm04VOf+6M8/vA9FvWcnUvX6XT75OmSxXyCNhLlS7zSQYQ+oaW5NNplPh0zn8+paFFGs/7cqxw9usMkSViPQpRj2NzcZDlbUsuCjd0dFhcp0o24XdTMHi/4hZ9+huXZE/x+h3J6TmewwcIcQ1shihLX9Vl7ZoPDB/fxm4TQdInjmHyxj1X06HiarC3wwgF2AWlb4vlDLEdR5gWFsbh669PsXHsGP+pzcXHAwd0ptuWhq4Zq9nRV77RjSiEws8cIy+HK1h7DX/wlTp7c5+YbX2B3d5eL6RHzkzPuffw1+n6Hth0yPX5I28yJ4nUm9z/A7+9gD/tQLgELTy9JsxJRN+TnOR4FriUR8WCFFez3sUYd5MkpJl0wGsQsLh6xfu0VnPEpi7RBOiGe2zI9n2Ok5PTJPlEnZpaeMD0+xA5HK8cBKdFNy9bmJS7mC3QjEZbGC2NMp08+sTg7m1Cj8cMYUzcsT86x/JUd08XhfSwlOTg6pS2rP4h8/b7xzyKsh8ChMeadT17/XVbCevr/pvhCiC3g7JPzR8De77l+95Nj/8TQxuAFCpOPqMsZZemiQ596UZGbgKouWPMdDs8OiUaXCXqbWNMTCmlQZYbtdXCFpHUsoqDDMm2YTM4Y7lxGFxVloWmdkmrxhMl0hkXAaLTB8eED4Hx154dDnpd4/U2Kk9u0fkyLoU6XdPtrFIkhK0rIc9KnJ1jKZnP7FsvTp1STfWRxhuht4lhgaBFC0LQ1nZs/TpMmLA7vMRj0CD2fptvBmJLFyVN68TqL6RGNFnh+jOP1SE9uM07PIZtRnR3gbf0oTb0gGj1PskyZPL3L5o3PoHXFMLTpbe/R4rAsMuLBiCxJyJYLlDBUyzHD3hAjWpaVj7QsimXKbHFAV5zgKINCUVsWnSBGo2irmqRpWBzfZp5MKdMCqWCxmCH8ANvxqByJlDEEPbJkTLqsGPUjyqoAbTifzHGCCKMcTJ2RVZrHH8/48t2EUa/Lrl/RjV327JYqzHG9Hmp9i/tnU7LWx65yfvvL32Aryrm3rBmGmmHXxsqX2JbEdwSTk5XLQ8cxlHnK6wPwSs1iqRGn72FOb7MIQqLP/hTXb+5x9nCf6cIiaw3v/PqvsPfa58nvf4uPPzjh+c/8HLOjO2zdeoOTh99DOkNm8zM6noMvbY5OT+j6PqO9DdpZzvDSNT78zrfoXd6lSLPVunGW8bN/6s/w9V/9H9C64fTJISp08bwQlUvOTcx/93895Oc/MyLye7TROnU6xvVjPHtAcXHBo/07/NBP/Uni0KXNa/LpIWHkEfXXENi0ZUBrNNJyMTJjfec5dFVSGxftKwabI1zPY3p6SlFXuJaF50a0BqDA9l3sJKWuFsynE+IowA1sKreP4zVc634Gz7c5ujhA5xWWH3Dj2R9GFzPyskbWHuf3PmLhPEYKj+76TURbIeIBpikonz5FSkWaJCzzDH84YjF+jOcogm4fP5CUZU2n10X2erTzCSq0saIendbi5PSAMs+YpSW9/pAoiDHeCojkeT2W+X0GQYOrPKQNge/jOjaho8hEy6C3xnwyRbk2hdRUbYRoGyJfUtUJbaOpZjPi2KfKF5gyJ08KpPlDLgUYY06EEAdCiFvGmDusnFk/+uTxrwN/9ZPn//OTS/4e8OeEEP8Lq6bV/J9WXwWo65JvfPdLbGxdZ7S2Q1oJnj4ak5YVhbFRheHMCDyvw/T4Lv04pCgSQtXSGV6levoA98pVhC2YHF5QFSBrn+PFPsIs2Lx6E1EmVM4anlMjhMWshOHuK0hl4TiCRbLADfsssxrnyg+RzWYcH3zA5Wde4GIyBVmj7QFub4PalGgheXR6Rr6YYB98FX+zj7QN84uaONZM0xZn+/OoT+ZGtWtzdHaCNpKwt0GT1KjeJk8e3yGI+8QbNyjLkrwe4yuJdCwqGXDlxrMcPbrLMy+9Tp6VRGsjBvEOTW3w7YL5JENj0MZGCI1tK/r9PgKLbHKA1e/R2dwmPXlMf9gDx+P89IzaafHdlkZItNTgRBgLqsams3eNIOoiby/ZCiX7BQhtQVMxPz9GVxoZdZCuBNfFrjvsXuqTFxXxxjrWvKLVFpPaoilL6qZFSknoB6ACZkVNVVuYpeSwgddeXvnNN36HW90CP8755t2WyWSClWm2tjpUCO49XNALDd3YJ1lY9EVCamI6KqVLxWkaY9wh3ecv8WD/Dpt+w3KR0p1OubbZIZjabLzyI0zvfQu3u8v9995ma/syDYbD+9/l8qVrtMUM6flce+MNFmdTtBb0RmtU33yL+XLG9auvcJHc4eTpXbq9Ab3ukNQc4PQ8xg+OePv/+FtcvfU8R3fuIOqSoLfJw++8x97NF+j0tznZP+Tvf9QgxDnDoGUrNjxzdZvZ0W3KpuLalcvMxvv4/T7jgw8pny7o9mLkaA1lK0y8Tj4d43juCja0XBBFPbxOh2wyRwQuk4sJQggYT9i+vEe8uc70aH9VFmhDmjBA1JrIlVhmQjY5xN67jGUM+XxOS4uyLIywaLAwuqFoBca45GZJW7Q0dcrl13+ILF9SFSWmrnBdi6pqSMoSz+8zMDV5I/nw+ILXL3+aVkjqRmP7HSxTYSSYnkuLphwfcX6+oKgh8COUY+GFMeH6Om1bk2ct2huy+9xnEcUSbUraRiGlxNQVrWmwjOb44AltlSDmGl3lFOkE7flEnkLi0OpVf6aYVkR2ha5KTJOi+cOvsQL8eeB/+mQi4CHwS6yYul8UQvwbwBPgT37y3l9nNWp1n9W41S/9fh8uLBe3ewXHHdFUJfPxPrs3v8BiOWY0XCdfHGO1c6SyuHblOaoiQbQ1qeihZ0uUE1CePaApLVo62EahWUJT0SQZukwoLRfaFK1iDh9+m53rnyMMbJqiYFp4WOEefn/IMpliy5qoFxJP+zw9OmPYGxG4sDA2lmVhWx5Q4RqbpkxRQYxrK6S0MFJy+OER9eXn2bY7tHWxamAVFcNeTN22VOkFtuvQ6+5i6oZ5muG2GWWZAzaVJfAENLUgaxW9jT1OjvexGknsd2gchetHdMIWe2FxMj6nqTJ818L1FUWV0xZj/F53ZShY1YSDXZJkQVvkDNcGnC/GSClAaRzbQ3oxZdnSSJu10GN+8RjXKWmFAWFjGokT9jmZntPxO9hCUDUFvvHpRjFlPsexDXU9odffwbandJuWi0lGFPeQtk3se0wuTinylIIY12nphA6LrEUpm96gS1tHNM2Sja5Lb/uMzYHFKKwYrY/4u2dTRCM5XCQgFaFSKFMT6pLDpUV3o4+lIzbtOZ/+qR/l3jfeYffKJlV2Tmim9CONY+cQ9TBNykanT97khMrCkQpXwsHxIXHQQxo4uvseGp/drTXinW2GKqRMK6ruNo9++0s899kf4fTD7xEEEa3x6I46lLnkzrvvEQ3XGe65JBczPv9Hf5a9y8/x0TtvoZoU34kQvs8iK5ie1TwYJ0znEZfCildev4ayHS4ePaSsfWLHUJxdwHDObPk+zsaLlPWCuvJWds5tyujyqzQISjPDrsBUGqUsSglJkhB2fIyAS7vPk2dLqmROf+MaVV2wKHxc0cO1bLJS4wY+TV1gSZuGAKM1i6rF8zyUljjOGlYYUVYJBptyfsFw5zLz81PKPGU+PiLLUuLnfpTlZIo1CLn18s9Q0uC1ivkip9WGyIdwtMbi5ATHMni9bXqlTaANwtQkjc3aaGuFe9UaXU2wbIco6uH0tzg7O6EbRvgKjqb7NNMpxg9YTpdE3T6T/dvkyZSiqjHapy0W5AVIL8JpSyptyIqWukwxpsU0f/g1Vowx3wHe+Mec+sl/zHsN8Gf/ID/C8wJ6o6u09Zz09Ijzecq6NvT6IfPJOeQLSung2YKiqRDUKJHRXVtDChcyl0cfvUd3cBPhgOvYlFmO5Xlo3yfNa4wtQFTUeYJSfYzjMk4ybLsDSFzPxvZdPNnBFEukcvH9iNjvgVDUQlGnU2orQ5iWWht8JeH8d3C7Ho2UiFZQVg3+8z+02hTDYLU1TdPQX98g8FymkzG4NjQ56eSISVbhKJ/pfEkQDZG2h7IbmialaNTKB8y0WNbK5K0qz2iqnOyiolAW8foOg14fbSRlK2mki2hqnLhDsiyx4y5rV/oUT/dplUVguRwf3Wc9jjCiwBMO0vHIs4xKdIjWFdufep70rTsoITmdL2lVgC9bFA2usnAdTRCHJGc5F4cP6HSHWIFPu0xXw9a+odPrkydLxDp0wwGLdIFULVnT4AmPtC3QZYs3cFAoKp3ithVLrdAyYG+Y8/XDGjGrafKayfKQ5zZWKLywEFi+zXnWMrANheNiuQ5UDds7NuH4EVd213j23/qz3Lv9Iccf/BbLkzPCOGJy/zaO7OCP1jk5vMPO1Td58uG7fOqHfpJ5OmenH5OnKR1tePXN15lMlzzz+R/j9PyE4e4ejz96H1mVXLr1PFdefYPdF14m3b/H4/0DlofnPPP6qyjL4+HD+/haEQ46PHzvA44+fIAb+Fy/cY1EN2xu7nH/wV36wy0e3blHMIj56HjO+FsTlpMzRsMuA/caF9O7PBctEck+vf4mH91+h0b22Lp+lZODRygcgu4aebakM1inzHLcTkiTl2gU6WRJGPpYZY4dRDjCRlc5ydkT8BT94SbL2mCMQak1KjNBxV0aLFylWM4mDIY9RFPQ1BpbeTStwpYtrSXweiOyNMfyXdoiJexdZXC5xzgtcNeu43LBxs2XKduE/GKMW2mauuHk7II9V2GphnJ8gDW8glQNXSGo8iVWsE0ch5S6QXojquWMpqyRUYDxFFYRc/fdX8WuclqtkJZLd+t50izDsl3yLCE7n66WUUxLJ+xgqoyyXNJWNW1T0VguloFaayyv9weRrN83vr/3v/+cIW3BxvYWWgpqqQi6a1y5+RLHp2cI2ZJbFtghxumxSDKEVtR1TdCN0UqwLHNUNl8ZpVkWRZOiTQ6zJ7gtpBcLsrqkzgq6wyusX7pKt7+GCgcsqyXGGKgTmjYnOX2C1g3ogk7oE9gVUrTUyRlpMiNLD3AdC7sqac7vEXgCaSus1kBeMfdHWL1tLGFjqQhjdTh8dA+pXaBic3udYb+D1btCScjalRvs3niNMOjRihUtfpkmlEWKsC0cJ6a2Fcb4aN2gcVDKRbQljx9/RD/qE8cx3eEmTtilKuc09QoQbtmwt7WBazvMFwe4SjFPz/BlRRhVaGHTKgutJdg269s7bO1c5eD97zKfT5hOEhZFwWY3YtCL6fZjBlHE2XyKsmOqNqey3RUApLGoywLhxlzavkK5XALgSUWSTIj9gEWS0Ql8uoMufTfghcvX8SwFwhDaDnlpUMIicjwen89xLI9CxRxXHmdtROtt8jSzOSoE54sKowWpsYiMoCwrHGHh1hc8nU159zu/wcHf/wsMNm9gtCQtbZaljTV6liTPOD19wjMv/yzoGuk71PMFGxsb3D88Jtpe46M73wSh2O5u8p23vsbzn/0RVGX49E//FF5bs3njU+z/7jeRdcK9Dz9keXHArefe5OzokCd3PqTX6eB1fdqkoB/6eJ7PbDHlZLpkMS9494MPKYqCg5MTnE5MVbRsv3CLaVrghT3icMSDheADcYW/82jAf/6lc/7i33iHR3cnBP0Bli3p9ddobYXt28TxOkIbom4HbIWKYup8Tmsaina1dTQ+fkRbJ7TSoVYORiiqdMlo5xqWE2Icjd/fwpI2ljDUdUk0XEdaBuG6aFNR5tWq6293UZbHirGwwgGm2YSShqqVSKPwrAKZ5hx+4x+SPHhMNNygKGtsVxN2eyySkqizgzO6RTY/oLg4pq5b8Af4nRCkwrIs8uScYG2LePMKlmPhmoR2sU+zmFLWkqwG6fi885XfIHl6Tp1nYAu0FyBLjRNs4CiBVDGjtRsMNm+inZj1jR22br7ItRsvs7198/uqaT8YEJZf/s/+8s+9eoM8mdAICbLh5PgYhaas8xXswV6h8LJ8xmjUIVAR0/ER1SJB1Qsm+w/wOpvY4ZA6v6CaTjC2gzElVCm2vyr6F/kJ2giU36HIlswnY5TfR1JRJTWeo0ApdF2AsaiTGaJNCX2Lfn+Lyf5j3Mn77N76DKcffxE/ClCtpC4KalPjX/s5jLBosYjjPlU+pmo1dqAILY0fBHh+h8kyQ3V7CAOWqDCWTTpfUJUpZZHhBz6Xbz5P3BmwnCV4YUhrLLI8pUzHTOcJooLp7JC4u8Pp2RFNlVNWFY3JiT0bSzhY7ZLzg3t0Yh+aGUopTKkJFnNEbKGkR90YdCuoLZfR5RssjvbJxhccXyxp8lWNDyFQeJS6ZrPXR7Q5Go2FgyUt2qZACo3r+8wWKQ4tZb1ENCs0outHRL6HbVvYNvRHEa1tGFgLvCBcGZoFXYxj0dSa+TRFNBNEa5BG8OR0Qdum4AhsZw0n8llkOW1TEoYhs9xgO4LDs3Mcx1plGJZLIiMmjz4iTWpGL/wELiVlk6ErTU2NG0cM/Rh3/Srjo3329rawa4kddMknYx4/uE1rGeqLOaNhzOT0iNPzGdg1N978ce6+8xXWn32Wcmkwbsnec89zfeMW8zojzyaMRjtUwsHvhZyfnnHr8z/M17/yG5T5lNb2sND4HZfX3/gMF3mG1obBlTXe/u5HnF8cY9oGEfgcZwlCS+6M53zvw/t88OUvc+P6OrYXsXPtBSzHYzY7xbUtlHRYpgm+kFRNyvrmNpiaumnorW3RVhWWG9JdX2cxucAZjKjaFqkllq3QLTgqQPkR/e4mdX5BUzRI44ANtvBRkUNy9pRqtqDVJXVecHDwEGEHhKM9jDAE/QEL4+H7HnbYx497WMKiyuZYWFQCqiKhLUqE5SLtLrM8R4XrTA/vMbz8EovZIcv9+yTjJ6huF8eVyKbA9j3K5YKtvRdp0Fgq4uIiwxLQ1AWiXJIvU7RWeIMB+eQQJ+jQpguszpA4dHCjAGGtyHeWLfiv/t7X/8WCsLR1Q9ssqaqMZDaj1x+ytb1NMjnj4uIJyl+j1WA7FqPNq8zykkhBPNyjSDPqJ0/wR5skyRFh1KWYHNEb9TBWiJY1va1LZLWhmN5FhesEYQc78Dg9rYlHV/DcAMcNqeqUColoMihbWt1QGYtLu89w/vAbGFEQ1EuWJ/f44PQvMdzYQ2JRtyWtgLH/Crueh2xtXNPgMyepM0y7pJjknJZzrn3qJdqqILAtNJqqSilkhNE5xpQ0ZUPUHbF96RaW0QixgoFcnB+CZYOpqZY1wgga5TGbwpPDB9iWwLMtpqcX+K6LHQc4rk9WFjR5QllrLuYJURgzrwyWtOmw4tValkIFa9hOyPG9eyjXxvgxk/EpG9s7uEIwbQQFDaEPGkXo2KTzOVIXpMtjfKdLohWuqen3B5yejXGkYjDq4fpdhJTYvkuynGK3BsexKMsGMZvS6hVxrK1SgqCDVBLXNCwrsGXGw3lL1dp0akUQxIiqpc1Kuo5F3iiKcuVR3wqPwI+BJQabbN6iHn6Dp+c5CYrw0dtMwk168SY3X7/Go4/u8PTxQ55/6XMk5Yyw36XIBOfjfTqjLXwpmU2n3PrhWww6XcbTMfc+uE+oQto04X/7a/8+qrF448azuLJhfjrhxVc/z7vvvsXx+9/jyu4tjGuIorUVNezSZf7BX/8rDIYbvPjpn6WzucH5k9vMxzM+uv0h733rba5sXeF33v4KJTkDaZNqm+SkJGobCuHQN4JGtMxExLe/8rvc+pEXqLMU6UmEsLB7A6qLCbHnc1GktMZmdjLBlgrTNuxeeYED88GKNFXnK5Sm3yOrcpqqomhqtITWwN7eZdLpHGFaHCukUAWyajBKYrShTBO01riWoi4qdke7yN4Qbdu8/PwLfPT4EKUslOghlSZLT7CVoT9aozE2xf4RVuiClFRZi/BH1IlmOZsTjrY4ffA2RVaSNxXKOOjZBaVeEo+2abKUvWdfY3F6xtr2MyzmOT/8hT7GifC8gDJdcufbv0vaNtRaoCYnHOUp21dfRzbZiqO8LFb/f1Wg8/r7qmk/EMIK4EU94rKiLBWTxRz39CHK72EZG42LUi5hECFVS9NU5LlA+avUp7r0MounB2QPP6bUd9jZ2SMcrLOY51hBwDxd8tKbn+drv/Yu1y69xsOPv05v4xad7hDbc2kbibIq0DaYFmNspmdP6EUd8sYwnc+oRMxk/3v4dU1tAqJuiON4GGOo25ZCjOgPL5MsTzFliaM0ou0xHK2R5zmOSWkWUOY2fm+TSwOPk9Mj0v37hNefI0lrPOUwThIubeyS5gvKKqC/PiLIE44PJ6jOGpZ0kYGLW6e02kYIg9EVjU6ZziRKtiuYdlGtXA8aQ1a1lHmN0ZKkLJmcXeDFLR3j0GrgkxngVnpIJIqK/QcP2F0TaANFXdFWFcrpEfgxyvWR0Trm7ICyTBmMrtIZ7LAlJcqGO0/eZ9QdousEzzJoUWHJYFUqMA2trqlKibR9KlbsXEOJqySRgqJRCLdFKo1lWjqjAZPjC2aVwa+m+CqikQ5tmjLTBk80+IGDrVs82yHJDJ4HuRBY4zO2uh6LrGDj2Te58+6HLP0ZdtzD6QyRQvOdb3yVNM95+bNf4MnddwniAUl2Dm7EzkuvsTjb5ztvvc/mrTfYeek1ph99jeU05dOf/wn8/jrp4WMuyhLXi/iNL/0allLEm1dIog7Z0TnIM/bvfRPH3uCH/8gvcuf2x0ynR3znu2/jKg9tCZaH+/SShPHBfXrCJtEC2wtYR5Aul1hOiJ+NIV7nmc3LiOmEvjVlONzB80Oi/hDTGvJylUkIxyZLUsLQJ1s+JfRabOFTVwV+3KOpWtygy/H8I6DBsxUVUBQFtrCwHYcqbWiqjKgboUyf0+yYKi2AgratCcOQIkto6vaTJq2LXZfEOuXp4V3c2iCjYGURbywCN6QVgvziBCfaIIh82irHjTrgdFeg+G6HjoLeWof5+TlR16VjOhRZQjY/58XP/Bjn58e0ZYtwbILREG0c8VnlAAAgAElEQVQ7DEIbipymbmiqGjfucPmlV2mahjxrqeNXiBybwBdUWYKlHJzApswWWFg0TfJ91bMfDGE1MJufU+ga2V2nI7YJI4NE0Iy2cFSMkA5N29DmFW2tCXrr2GEPITM8bLzZKVy6zsWjB+wrj0B7FHWFTYfACfj2V77Eg/tHHO7/z9i2zVL02bl0Bder6cURjfSZnE1Ja4Wtc0xbUMk+jWg5PT+mF0bsjtbwkhmn9RLHWQ0ZNwiasiDafZ7J4gnGhGirxvPWV8aDlsvmxg6tLoiufAraFmUriqZCCkPWNFy8/y2Gu1dppEsQxjRNgxEeSw2BCTHCYnPvVYwwLNIErxsSBAHOfEF68QTPX6MX7vFUP4YiwRaCssqIrJhsMSawHSaLM6qmRqYRnU4Ho2rK5ZT8Ykn/+ovoumJ9Z43F+QLV3SJyZrj9l6hqzeTpAU3bMlzv4ocu2jQEIuW5F17gzp279EYbq3VLoTFG8/KNlzk73cdSPpWReLaNIcPCxi5bjOWihYUU4Fg2vvTRVoNqNcI02I5EKQfHshlYK/C2u95lMs85nla0xRRpgdCCgYLEWPz8L/6rfPG//29Zj0f0w5C8LjB5g+Vo3EgRm5zy47dRbcEGFvnHJ4xzTdm2VNrQ7wz5xle/iGsHtNImffIx8yon7u7x7EtvghPx1q/911y5/gZRv8tC2KjGZuPG8/zu975FlRfMpzP+vb/+y/w7v/AToCxev/4C52fHzLVk2Nmi43l89xu/hR1EPHrwENeTBFJwfnaIaaCNI9YGA84e3eFW6BJeuc7T+w8I0MgqRyqBSmZkxy2f+ewL1IuI0JcM10b4O9t0dkfIsuHD9xomT48YDoeUy5Reb5W5WFKSLk6Znp0Q9jbI5qfYNMz3vwtuB8sfIrCxLQvHgsXZPZrlAaI3pLUWCG3TaIMjJcJycfqbtOMjdFszOz6kP9xgY2+HorZoqjHCtlge3WY42kD6A2ocZAvdtSsUTUtnc4/5yRM0kqbOkNJmGLmYdkEyu8AbjHA8l+XFmGjQI11Mefz4PkqA7TnUBiI/ZDlPaJoCz7bQrcG0OZZy8HwXW8Q4PRtZFkhqdN0gbQW0FEWB0ZosmRNFl76vkvYDIaxNU5KOj6lkyHBtQJmmFLmGdoynLtG00NYpbdtycO8j1i+9yLptSE7v4lUpDDZwR5eJR3BRCUTUJStWTqu2VLi+z8WiIXX7jHYvsbW2g3AkZZayOL3Af+YaQlkEXogkY7x/iN/pY4TFwI1YjB+SN13iwOPs+CluR2KjqCuN0DlxvM3R6W162y+vHAgCFynAEg0ID4HGUT66rhGWQ5pNsRybTuTT2dygbzSNLfGdgDwZAwLcCFMJjk7OceqKtqpZ1hV9P6aJIgIn4Pj9t3A6HS5fvs7xyUN6g12apgKj8bBBWOjFlMZxEMJHiABJzfTsiO71XWQ+xZoLHO9Vjn/3q0j9PtHeVb795b/B4wczdl7pEPYHdDY3sYSD343J64YmKxCxQmjFxuYutt3iBgFFXdCUBd/88B0uDQ3C36KqJ5AUeCqiFSWNAmMqHOlS5Rl5lmJLC1uCkA1VmVNLl6sbIcXUMOgPeXRaUwmfJFsQhwFB3PBwWlLWMPRXYOb33v4qP//Hfo5vfeW3MbpkPs5ZKnA7Em1HxEGFciS9WtFoD+WVbAcRuirI64ooKBgah0JJ4voA6Sgiq6VaPubOW3dx/SFxm/D4a7+C6ys0Nge64t1/8LcZrm8wGx/hSIu/+q/9LKPQQWif24dHDNd3uWwFjD/8HR5VinnZcG1rHdHtcnJ6gZgsQBk6fozOC9LZhLC1yMczsvk7vPjKdXYvvcz9/QuCfEG00ef9u2PuHhUkk4y1Z0557x99kRd/8k8gbRddGq5fv05RVCzGY1x9Srz2Kmff+SZahXz7a18D26YbH2JrjRCKYp6jHeDsBDVYh6BLlZfUZ/dYJhmdsiCOeggh6Ay7IAJstcIYxoN1mgZ0XmJ0iSMshApI5ilusIYOHfz1mziuTVOV1E3FYnlBXTc4akXqyiY5Wq54s7PxlJG7wNl7EdtRCOkQxh7L0wnxcMhw9yrFPGdyvk8YhjSAcgyTcYbs+xhtyNMMoyxEW1G1NcqxEQ7oCoSsMJVNPBhS5HOkkfj9HRaT0++rpv1ANK9++a/9lb/8Cz/6qVVBWUg+frTPwdETVHCJSoMrFdPzfepaMNjcw6ZEa03gWHSHHm1ZU2mbs7xmsLaJ1+nTGWxgSQdh2Zgqo9U1dZNw7foLCNlghIPr+TRaU5aaIms42/+I5fQcL44py5LAC0ibJTIdo6J1xPiEsrrAD3qYusUWULQS+nsMt6/j9UYI6ZDnU0wDW5cu0TQlQaeP0RJhNHmdU9QJntejqVOiIMR3HGwnJg5CLCvAHezQ6/bIk5rWUqDzlTWMpYgHQ3r9DrYlWS4n3HzuRR7v3wP0Kl0XDU0LQmqkbJC2T1HV5EmC09vAxhCNhijhEzdzWsflm199j6Spee3NPX7r1/8RRVkSjkYUac72lZscn85wqLGUWm3C5Ats0SBtG2VaZsmEuBvRG91kcZHSzp7y4eMxos3xHFDCRUuNhcDGwbIlZbGgqnKqiwVeIPD8ENdzaS0fSymKNKMoFjR1zukMTi5m5Lmh1++DgI1Lz3B8fo5rGzzPoknmJIsp8SjGdhy6l57h0f4prq1W3XHVIZY1vmfRaI3rusyTllhoaieGKscoG98PqNqWUdcHBJZjc+n6i0zOz7DjEEcZwqhH4PlYlsPOpsdymmC0hVERGgtjNJGU0N2m58C933qX//g/+iPsbl3hq3ce0+t00EVK3hj++K0Bf+4v/hKBrpg9fcKkkMyagldGLX/pP/l3kbHizqMESknpxSzpkWcXXEwXKF3w8udeZrRziY/e/jLf++r/yv77b1Nh4wWSre0t6qoim04wQuJ7EVLaWLaDkRYCQxBFaMtFSWu1LNJUK5PNqkAasXL/FQJaw/a119FaYOqGLE2oqwTLklRZgq+gqAUXJwdYkYNwHFzZYIJNAs/DUoq6SnBshXIiqspQFilaWui2RdNy5/1voSxJWbdsXb1OEHQZDnrUTcU8SegM18iWc8rlnLZpyJczdGNwPI/e1hUcG9IsAWPhuQqjJUWeQ1sBYgW0RuJ6AjeKUUEMbY1tckab2/wXX/zNf7GaV0Ioju8/RtTn5HaPrHHxbYOlF1B2KZhhVEjcWSfyQUib0Il4dPwUaffIs4xJrQmDLv1+h3R2Tl2XBB2fxWKGFcRks1P2dp/Bi2IMFqbKqKoKy4oRtgeYlSuqMCTJAmWJVbPM1FQbN0nmY5rlBE+4SFrwbap0wYW8gj7J8LNDOvEU4w6wsFjfHqI8j1gIyirHUYLKKERb0e2sIxuDhYuUgsrO2Nu+gm4U24GgrJZkbcBichd7fo/1V34aYQStneEoQZIsiaMR+XLK+dO7rA12WS4WtJaiaTXaVJjGYIwkCjvo1sDaBp43YJJPib0OoBHGxQldfvJf+QzDtV0uJods714lpca0JZUWXL/5PLgd9PQE4/pUaCrLoqhaTLqg4wguDg45OtzHtd6l19/AUHJlcxNLtszmFSZc4FaAG6N8H90ktG2L0Q21sHFcAVaLbQy2U5O2DVopeoGFbhR5njHqdqhig2WVuJ5DNj8jEJL1yMNSNkibdpkzLQxK1iyP32c30LR1Td81tOmYSiiKUtBgSHLBKLZJC7ClQHo9qBaIeoppPAoMjexw7dYLaJPSZAt63TXkoEdTVaQV3HrtTebLhOr4N3HWrtMsZ1x94UUe3b3Pn/hjf4q3vvR3SJqY9vIa/+GvXLDt+PzI65/hjY2Et/7v7/Ef/IV/k+HuGv/p//guZ0dL/vi/9BN8+tk1mM64W4b8l//Nt3G3tgg6He49fBupK9rFhDroUOan/MyPf47nX3mJ29+7j60d1ndewHVtLh5/j9ALebJIufLyK5w/OQBChLFoqxbf79EU05X9ESAsaCUIfAw1ed6ipCDwujTLCSbJEX0Lx4Ew8JFmgXCH1FVFU6RoDXmyRJqW5ekDRjtXqfKUUlqMdjcJoh5SGLrxZYq8pakzNB7z1MJTiqw+wGkafuyn/mWW4xOaYsbZk4/YuHSZTF2lSDMuXd5lscxRjodxFSY7pZUSXRYYU9IPYqZJjq9CGtFgtKSlQkiJtC08L6RtK6pySad/ibWdG5ydHyBsSVs0LJ7+U7fu/8DxAyGsWC725VdoLm7ja8FyPMOyLfLkglrP8IId7MCj0g0f3L7Hle0rWFHOrVsvkIyPuXTjRer7j7jy3DOcHj4m3lynaQWToxOk7UHTIDQ0ixkzDf3d6wg3YjY9we/5+I5Ho1sGwxv8P8y9SZBs2Xnf9zvn3PnmnFlZ85uHntFodDeIqYEGmjABQgRNUBRphU2KC4ZD4bAivJDtjTf2gguFd7YctBYSRUoUwRBFmqQEgSAxNrrR6Ak9vPf6vXr1aq7KysrpzuPxopph2A4OsLHgF5Fx7/0y7rmbjH/c/M73/X+z0zfIC0l+sk85nWCZFY3VDq5tsL8XsrJhQJ5T5DUH2YDCNFDSYDHLEe6A+PQBVXTMcOPnaHoesySlSCtarRZBmJIXmqqsMFyTIp2SLOYoJaAGLWryDBwE6XSbav9FSKYEe0t8+PO/gtQGb3z/WwyGqxxsP2B2NmK6/4Crz3rURYVhKSzTpCgEQpUgLbTWeJ6HSUmmE7IsIy9TDNumFC5KV3RW+gTTI4rZDp2lDlI1KfKYVppzFk2ZnR7Q6XSoqgpZVAAkcY4uakypUX6DdLKgkLDIJ9S5xHMUoSEwMzibRFAkVC1oyIRKVOR5imN4FIZA5zXY+pzOmp+3vCWVJkk1YVTRchXLG+vEVUFdRSyiHFkErK82OZvM6XgWruWAEtjSYDo6odH0abaHiHROGIf4DiwCk65fMS8zkqxgpxBYqkHTSjgYZ1iWRWf1UeTkHfqbD3Pw9rd5+82Yfs9n8/qzYMLSyhXSCpSuuXPnVcgycsulCsYM1h9nzXSIWw3+5Hf/GRtPfIjp1rt8+rM/xZd+6e/xb/7n/4Xvbt/hM08/xn/93zzBv3rxTfzVD3Fw9016mxd5eavi5bsn9Jeb2I5Fa3ON3TtvMz3cAimYxAWlsOjLkCcuX+Zjn/8Ei0ShXXCsFq2WQTSeI4sC2xWIaB9ZPMVg7SrV/gNSbWPrimbDJVIVtS4QhkVZa5wiR3Va5IEiTk+wmgNmi5C2Y1GlIUWxIJ5NMJwG0u5TzhdIdU4mNk1J5/qTYNhIQ5FHc2plg84JgjmD1Wt0l9qUqaYjNfOjQ5SlSYuIcv4A1whR/oBsfoBpmUh7gGl3mMUF9+9+k/b6GmWYowwbKRVxMqFONIYqKOoSaTYpyhjTsJjMz6jznG5viU6rgd3oMd2/jdIFZCkqLYmODmi3m5AvmO7uoR2f/mD1xyppfzuEFYHTXMJu93n3O3+AZUvqQpBW7XNYXTmBsoswBEYN/X6bcDHHCqacnU2pdYlstoniEKd97q8aHR1g+x7pfMHZ6AgzLYijfdq+h2FLlOOxKjdJ8oQ8ydASbM/BbGxSju+gg4zxOKAhM8L37hIEc27vNBm2UnIM8jinc+0p9g6nVHlCZ6mPEiYSgSNq+kvLGLZNnGUo02IRF6RJQpiE+K5JcDZmMb6HstqISmE3miRhgtYleW3gui7rGzcYPbhFsH+L29/+Mt2rH8H3mpAFzEZbdLtdDsIIWRb0BkMWcUIpwTRNwKLW70+clTWlqrEqTdv3UVmOtn0iS9FSmjKIsA1BZHWZpPX5nLntganYf+t7OKpDWeZYpiAuahxlY/Vt8jghyyPu7Y7wLQMtEwxRIF2H2rSxpab2LHQ0xqyr89KxbROVBRiasExQwj1/o9YWUmhkbaLMFKlqKlmSFRpnMKSWAkcZJIlFp2GTSosyyRD9FkUYIKRk9yghiGcMBwqo0Y5PicazBGVsIY0ZYQWeqagsaCqDcRQQlJIUaKiSaO8WgZa89+U/5ekXnkPECxK3zWQyJTweMdp6haIWhJGm0Wnz2PNf5Ht/+mXsKiF++xu822hSYGB5klvf/zpxmJMZL/LPR3t4jQ7PPvURXrtb8OLiBLt/kYc3V/n5f/Yv+a1/+r/RAuK8oMhyJie7nOwfYhk2YSUJsNBiwZqneP7RVT79S7/EWVQxPniDVrOP4RUs5gXe8DLashFJTL+3TnB2gvJb2K0e8SwGUZBmMbrK0EUCTQdLS5RvUxUJhQ5pd7vEcYDX7JKmIVoXjPfHtLu3WRleQnibFGlMkS5gvkuSzbHIMVodhhdukAsIJiFVWlCcHtJ47EOUdUGexKAlZtOlGE0gO8LWOYXoooVDZUjqZI6uFTQEaZDjL11GhyfkQtHsLBPnGcXZgloJRJ4hlUGhS/Z/8G2wN1G6RDoeRZ1TBwnT4/tY7SFaa7QC2/exrIqz7dfJjDZWwyOej9mdHP5YFe1vhbAqJTBdD7MqcCybWmuEMKnCM9I6oW24aLMm1Cm+67AII/LgjDAMKYspTvsSOtZIZVGFc+Ikxe10GR0dsX9ni4adIT2b+iwnXByx4X4QbdqIlR5WUpPEc6I4oJaSVmeFqnqV3WCKrWcYjoW0DCyp6dsTqEzSpGZiXUTEBotFSLPVwmr2Ga5cYGe0zVmSYpoms7MzbLeNMip2t7Y5myxwHI9cC5AuSe4zaPpIx0NaPqZTU1QCXUKRzGgONqGCGQ7TyGRx6w2iKKBKIxpGDktDViqbd994gwurPma/hdN9EsE5BRQt8WyD0rQo5wXT6TErN5/FcPxzp597e5gWlFmA3eixdulRjl//LgUehmwRB3NEDaYtqKIA0e3iORa1yCjLkto2mUxSVjeHXFh/gotXNxmfznjre9+iJMcRLmYeokybDIWhc+YJ2MpAoShqE12FHIcml/yMvAZdLbAiB0vYyMwlzCI6zfO6ax6ckOYC03JRnotpCiy6ZM55z63nKkpZkSeaxrCF1hG2Y+IWDaplTXyscPwhZ9ExjiGpqCiEoG3XmKVA1hW5IVk1C8rrLqOtb2MYBrrUmGXNkgKjfxNdzBi2A5JE8N3/+Htkukm/P+DpR4cczeeMjrZ4b39GjMELf//XePdbX2MSS0bBEbauaA86rK53mcwXHJ3u8rV//FukZcW8tUxBRq/VZD6eYHeHjKqEajGnaUQIFL/6pefYePQmqa6hSvC6aziORRgcYQmDIhxTZGMODg6pqopObdGxmmRlimUqCmxKHSO1oMLAMQ3KUuJ4LfJaQFWTZTl1XbOYn6EocGwfUZ0xnxYssmOarQXByYj56QMu3Pggs4OQMplTpQFFkbP+8HOU2SElBmVwyOjeS7Q2nyJKUuq65Oj+HUo0TaWZpSZeowN1hUmNrgV0u2SzE6Tp0GCCdFxynVMEM+LgfLhB6wKEwnbbaJEijGXOpsf0emssXXyS4OgWFYoih47joyyHIltQLM7IKh/XbaDnIxpNC8Ns4ZTuj1XT/lYIqxCCdrNDNj/DMl3SIiWva4okxrQdsjzETCTohEpYjE9uI8uKqzc/QJq2SLRFrWqC6ZxgPOb4cJswyHFMgZAli5NDaDi0NjaxHY8gXmA7giIIkV4LwzJxUpBVSTwfsb+zRUeWSL+DoMRQFV7bIz0LqZwW8vrTDIVC2eDb187t+mybOJ5w48mPMTk5pNI189mYqhLEQUqSZHQ6PRxTkpcFlmnS7HY5nU4YrHjU6RzLsWl4A8K92xQIovkEZ7iJl+ZIKcnyANs2qVQDQxoEO9tIQzFcWmFRlVwffoRS19RSgbKZHO5jGOvnTkGuz+ZDz4Iy0MLAqQyqVo+6OCGrYhB96ipm0LI4rS2yYobp9MkLm/l0TG+4hJQglSLTHpZtkIYFq9dWWK1zXNclzmJcT/Gpz/0sL/2H3ycXcxzXw5aSWIc49bm7kbYlyBphSrRoEVGhqNBpQRrMUStdHv/CLxP+9j8h2B+xbmhi6aLtHjoNqKsS6pIUiaUjOs0WzXYLaTtkYcDR0QGWZVFWFUYNsatoKJfVSy227rzH5rUrzI72SSrBmi/RWhPWmlxDmefUSlDmFdKRpFmNRKGlTVkV1JMdhKEoW6ssX32YYm+HaDJiNtnhQbngve197sfgOPDpL3yRb//JH/PJT/4UuVNjaIfj3R2KumZ/Ose2WmztHqO6fcxSk+eS3rWrBMczJr7PYuc+HVFSIxn6gl/9Lz6H121RJSGFdCnCM0RtMz4d0+ytMQ3OWLl0ndnomObwIV555RsY+ws+8pkh7dYSs2yBpsJWNmmVcXI25sL1GxRaoiyLntdlJhXp/l0QFoicqsgQdoOVhz+C4bYoq5Tp8QHSsmh6PoYHldkgTis6DQvLqNi6/QqO20SbDoeHt9BlQPLefdavf5Dbr79IEUZUaK498iSuYaOrEq0FIisQRYBhXyLPYnp+Ti1NSgXFWUZtgSVTpmGKYTQQZo3Wc7Q0GV67TvDOD6irnPDobZRWIFIuPP8rGOWM+fEeQqZIr0eVpUTzE5A+SRJRSOt9W8UfX/ytEFZDGRxuv0qyOMQ2S45O5/ieS6lrVC0JAyCZgTaQhkItXcQyKu5uvU2dVVxpr5Hrmp2X/j3hIqbIBUk0RSz1Sc6OICmZJgGVadP0EzbsJloa5GWOXeQYeYw2FPdfeZHRra+z1GpgCoUUCbmhkLVGlCYff+EzzLOUbnNAnEYY2sL3MtrDS1y4eIWqTMhK6K9vsnf7HklRoDl3xPIbLcoqQVcmeXE+eeQ1eogKLG+J0fEps7N9/E6TZjHF6l3C6y1T5u/356HIypJaV0iRUsslmt0ek+Nj6qrm8qPPgOUhdYGBoqoq+sNVTL9HGuxjmj6WbQMOJhkzQhx/iBEcU0ULbvz0z3Hy/T9mc/0GD966h+c0MDoG5aJGGhbTg23K/irCUBSGR6+7xHrbJqtzwmhKFIQ4jodtO5Q6x+o2kGkCZY3V7DKQNlUFipKySiEpQQqqOseQigfTkqttgacz7n7/Ze69Oce2JD1PoGzF/tY7bJ9OuHahjzLaKOUj6hTbbmAITa5r6iQEE1bWNjClSVXMibMKVZuUpkkkBML3mOzd5+Llq4xPRngXbnK4dQvLSGnJEtM2ibKSoABZGvhGSaFMCs5LJGklWUxC3CJEG0ccH+3zUMuh332E773+CkeZJAkrvvSLf59vvfwyP/HcFwiSMU1nwOpgmX6zyZtvvIUsUgxpcjYZ02laWGbF/t67nD54Ed9sYkkDs4z4wi/8PB9/+mHqcMbt1/8Mxy/prj3M2vAqsTDIswhl1AiV0Ov1yKMpxtrDpBk8/PzfQ51usXv7e6zefBrT6yIiyPOIMjpj2PGwuz3Cwx1c7yIoB7+7TL44JZmNkAhWNy7jL18/3wSqck4evInr+aTapX19jWhyjGlLnLqmTnPqxhK2W1OnKZiaG8/8HGk+Id95wL1XX+TC5hDD7pBkJdOTfZqdIaYSKMMhTUP297Y4fON1+r0ljKur9Fa6VEkFpUR5Fmk6ptNoUVsmynJp9DcJDm5z9cIVpqcn6DwmCCK0ANeE6b//n6j8IaUy6PeXmExSlOVSzwKWLi+RRBLyHEn949W0H+tq/x8jz0JalsJxBwRxwc2bAyajMSdHh2jbRyibwhBYUmNamvRwh1oJVhoQRiVhNMF0h+SZYD6ZooWDbS9RxiEKh9yI0drAME0+/rO/zPhkQhYEVHVOlkYcjU6Yvv4n+O0uea4oVIktz5G4hlAsXX+GWZCiB6t40iONJliWj6pToiLFSSNGh++xvH6RIs3Q+rzOmVUVdZVjqAZBvEAqQZBESClJk4xGawlpN9FaY0ib9mADnSbUymd8tMPdd1/l4uMfw7c71Lqi1jZlPkZKD2WlUERUdg/XB9O2MARoy6HMQlynifI72J5LFiow3XP/y3TGPJrQaPXx/QaL6SuYdczsjT9H+UsoMcXXIdo+R5ELFHUYotFMp8c8+oFn2d47RIuSGpeiqLDcHtHigE6vT10lHN6+hW/5FMoAs40uBcLUVLLEVw5Wc8D06IgsyVGY6CohTCWtizbFvGbN1UzCCWZ5wo3VNnvH95jsZriehNpG6Io8DSlFjWl71JaFSCNqAaI2sQ2N5UqMqo8hU9IiJU1jVFnTGyxTxgmp7VH1BxwdP0AUMUWjwyII0XmJ4WiariZLSuJaYNUVsiyZFyWuliANpnFIcrhHnAYc1IqDs7ssP/IEN9Zv8vZr/5GvfvtbPPbwYwxaPmKthWWanJ0e8+df/yqmJUknUwoUdT5lv1JIapQwsOwOhufxc594gtHWLoevfIXvp/f52Ic+xPWnP0tdhCyiKUdb7+I0uwjHo0gmDC/eYHx4iOn2cLIJHQuiuMRaXaVM5my9/SpvbB1yud/h8Sceo0JhujaDzgCdhkTZjCIeQZRQFillWYPO2b7zGhtFgum1UXVGHk24+Ngn8VodzqZn5NMR04MD/Faf5soVcmoQxTnlIw9ReYnrLaGXSxo6pwinpBEMH7rB6eGIYjSm07Qx5LlRjHRcXJkRBwvefS/m48OPY8s5KTE6M3BabaTTp0rP6A8usLd9m3Ay4c3om3QG65yOYwwzwDUVjiyxepco3R51XjJPKtxmE8M0EfYNsspCqgLTdKhE8mPVtL8Vwqp1jZsHNJcuUBVzfNdhcrzN3nTOwEpo+ArH7TJJYrp+k0zW2JbD9uEOyjZ481tf5olnPsfmjatM4oQyCxF2TRnE1BQ4bpPutctcvvgYb7/9LrqWLG+skU1mjN/5FrO9LforSxzd32aR56xloA2F2Rlw+bHPkFLRXeoQl5KWY3JWFkjOW4YMqSmLiO2tXVr9VWoBda1RGgwlqbQFZYrvucRpQqkllm/T9Dx0mdN0HPLqvLbqmj0KY0GZOVDfZ60B49sv0X36pzENH2WYKDZsxpsAACAASURBVO8ahmFR1hn+yqOsVQaLsx1qw6O7vMTp0X00NaIyUH6bIkuwGgOi2THZ7AjT9nEcF6PMSQ2BLUsyCtIqoQ4jLLcD5QLKAXlWUSczRrMTVpY3Wb10nSCtWVpaJg1nZJ7CETVJUWB4DcL5CZaWZEmAYQqEsiiUxnJc8lSArEnTBNvsEmXbiDjGtAzSUmN6LbbGBhuexukN2BhWrFz+GOPjCVfZZ/ihlLu7AVrUFGkFpkJVECTR+xM2Eo0GpcnrkmQ2o9loE9cZSZ6gNdSUuLHEbbVJyhrL9SmTCmutgV6cUtQVERohHZIoRQmBKCA2FTk1leUT6wyRViRFQhblSNNmXJScavjcSoc3X/ojSq/N+rVNbt1+kXvvvUmWL9BJgsCk0pqpLtG1ha8chFJUuaZZZvzyP/gZPLFg+dJNWsNLHF3fZfzgHpODB/yX//g3+PSzA7prl2msXmTVhIZpE46O8OwVTAGmJTEVYFmE+Zwyz9B5zvDiIxzduss3//wlOs/VnJycYFiKttVnEUyo65oinaKTmCrJyBantBsdKATD4RVMWxOfblFMKyoREJ3tYLhNdJ2fc9WkYj7ZZvjwU/imR7iISGWOik4xWqt0B0vnCPtsgVnWXLz5KLvvvElv4FAUJZPJId3OCgenO0irjedbpElOWjq8++aLXPvgRxCeQY1GRzlZtIPd6rJz+y2KUtPuLZPFU5ZWBpjNingyQmqTWufkZUpdF0jOe8qE4SAdTVlqGu0BaVZhhXMyaf9YNe1vQmm9CfybH0pdAf4H4Dffz18CHgC/oLWeCiEE57jsz3NudP0rWuvX/sqHaM3ZeJd4vMdjP/ELnOxt0b+QsplI7rx9h5+4/BT3t9+kqVqMywzXa5DNI6oKPvLCl3AkFHmC4ff58Ic/wrtvvkIRjikBwxS0NzfYvHiDqEgwTPAcl3vf/AOc01ukyqYuK/7s977P5WsuZVKAanBwOOXZD3+Gk1JiWk1My4Ngwdb9fZQtWW41qBEEu/tYvknT9nj7lRfxXY+1K4+TZQGtVocoT8nChIoSU9qYLYuqTLGUgfB6ZEmKY5jocoqlbCoElekgzDbtK59i9mCb17/+Za5+5Is0Nx/BczuURYJdFsRZQpEtsF2HSsDxgy2EENR1SmoUFKclWtRoy8Iy24xPXsVrLWMaPQpsFD4UkkrE50gVIamjCU0dEBoWpi4xhM2nPv/zHB8fUdYlCkWj0cA0fcL4hCitcTwf2wGKnHtv32Z8GBNlMQ3PwWnbTPQU13MohGZz+Qq3d+6d//DyjKTIMS2b9voFtkd7RHmDR/tTtNXgdHyf7sYjRN0m9f42T16EvTDktGqitQSpqHWOkeZUyqGuEyDHtVxSISmqGsM0adEiLQuyLEMYiqRMcZMCy7IwbQtsE9lbo90GPzrDsCVnJ5Lc1BjaRtclwpBYZY7Z7GBamo5rsry8yv2dY6p5RCgkX33xDXy7yeWlVWa3D/BKSVHMMcscYfso10bWmlXbxrcEH7i6xDM/8Ryjvbdw+2s88tBj3HvnVSy/RZTHCK3pXbxJ58JlPl4ZPHx5idbqJoc79/nzP3uHfDLi0sZF5knCyrDN/PCQQPvMvSa/+Nnn2Bm9iKtLtLXGMx98iIf/yQVEUWDZLu3VdWYn+9z57rfIKbl4/SbBoiBJJnTXb1CkASULyskh5YnEMwwc2yAYHXKyVZAsxmRZxmzvLksPfRhRDrj3jd/j+qf+Lk7DAbdFbVaEW9+joR6lyI+RdpPDl/+UzetLYDo4Zorr2lSBg9YVVRJQlYoizWlfuEGzTFEyp93epLPc5K3Xv89iktPuLOMEU6osxVIOwfwYz9QkpYHpDFByznxxxvL6Btn8kCIW5FWB5zZoLPfJkzmioSiLlNf++J/TW95k/ZH/5EcSzr8u/iZoljvAkwBCCMU5v+r3OedefU1r/etCiP/u/ev/FvgccP39z4eBf/r+8S+NWkN/9TLZeMT9W9+hYVd0bMmzN6/h5hHv3rmNYzaZZgn5oibeG/GpFz5Ns7PK0vpVJg9uIdwmltRYbotrjz/NO3/+h9RC8PyX/gFOo000nxAfHZIGOVbXor92heliHxUWHGwd0G1AlWR0dU0ym+H3PazNJwh3T1jrdcjCAGX7DAZDtK5AF5TVGSudFsxPiWyb5bWHSHSM1BKpHKI0odvvEds2p0eHeL6P6dqUmcZu+9Taoq4182hO2/XJtQTDxqoKdHOJMk1YXtnk0LDxehfwpEKXMSY5YXhAGlfIZI7tt0nTAAyFqEuEMhFCEesU1/RB1GjPoEgrFuURTd8nq+fUkWLYuUwdHhGc3aW/8iTz2T6OcjmdHdJf36S3cp3x6T6iLKgQJHXFwLYxhKauOpydbaOrACVN7t2+y503TsHUlHVJmKYsVx3CKiT3TVy7QdVKefjmde69NmLqeHS765wc7zNEoowWqaGY5S6dOgCjyfGDe/RXL9C+cJXT+++wJgJ0DuNSUxUF470JjesOlWWCLaC2qZTE0gJZSRKdoKRCuoqO3SItKygSkjKHssJwfKQQmHaDvMxYWnoKUSxQ1Q46m2M3oNIupteiqAVlFvOF//SnKQs4PZpwc8nE95ucJgrpWFxaGyCDMd7gSV7/P/6Iy489idlrkaYSbQmENvA7LpQVGIo4C1COh5aSl17+Dlmc0X2kg9Aul596gvHpAeP9HZ766HM0GCEdC8tt4YSv4nh9rt94jJqKRTTjzg/e5vLNdT736U/gtftcNZ7G803ieUCtcvrtFtHsmGIxZy4K/P4Krb7N2f4W85MJXqcFVZMyixhuXOFs5zVEJTFVi5PpKdPZLko4XDc9bFMiMRCzQ3Q8IU3m+H6bs/u3aFx+CFNn5JaD4TmcHTygtXqROJrRWVpn5913UNaQKoNGv4XT6iGEwG+20XafwpUoLKbJKU2nR4nPye4evtOjsdQkLgOyOMKoMop4TpaWVK0Ojekpft8hiCNkmpFOxmAYKNvAl5KqzEjiEMsbIIMptYzIFzFBdszlLz32/0NG/9/xo5YCPgNsaa13hBBfBD71fv5fAF/nXFi/CPzm+ySBl4QQnb+ADv5liwqhsOw+Nx+5zMnhHp1WgzQKkEx47jPP8/jpCWHh8e69e6wM11HVlOHAZtB3aXdXiKZHlFUCqoWQBc2uTyIkG1cu0BsuU+Qa03bRdY3rNDGExF1eZ290hYPD9zBMzWBjk7O9feapoF7boLveI00UTc9nNh/Tavepg4Bev02e5oiq4O6bL/P4pScoOht4g3VqDa7VQesM0zQxXYdoOsVrOyytbDIf7bB9510ubD6KXF4CqZDCoNPsUpc5nudTapfxwT0c26c16FI3GngrlxGioMxi8nAGIqfMBbPD20TTfa4+/mlqXaGrGkwJ2oIywxEWtSjReYahJVpH5JHD/v17eB50OmtgtSg5oF6EbC2+Q2WsUdRNTEdRx6CqAkNIMlkjsxzTsVnMg/eZ8jbCMlDSYhEuqOqa51/4IIbl8AdfewnbbnD/+ISuqbG9JbKq5M72O+RZgFWbDFsN4mJBVJX4rsnqSpd+p00a9xktbtE3EzyRMR9v02yt0B1uEIzfY9WJsY8CDuUAYVdsHxxw6cp1XC2JKSnSDNDICiQGNYK+51GXNU6RMhc1dWmTk+NoQV3XaKPCQJBEp1TzEU99+GO89v2XicMRpudQRhlNv0/sN/h3f/A1bi53ePwzv4jOU0qRseII3E4XoWqa7RZxcMbGB26iLE1lng+qn7ecSeaFjcoDdBiRR3PsRo9gckaZlJiuz+vf+FM+9rlfZHBlHWlr4gKy6SFNQ7J/PMJvS57/hV+mzDKaXRcDB44Uz33u01z9yN8hmk3IFyf4S2vE432kY6HDKcsP3WRrskfnyjWqvKQuY4YXb5JFc3RWMNt7E9fxCeZnqHiHIgxpdNc5DUtMp83G8lV2Du5yOjnFbjmUSUluN1F5THB0F6vRozZ92LlD/+JVauliN5tURUl4sofpN8mERJQmNQk6z7H9Fu1Bi7x08Hoxm489QxXVFE6HyXREePe7hHlGq9MmkikFmj42i7MSz3XZfftFPJ2izDVOdrfI3nqV5Y0rRGika1DXNaKsqWqJ1Oc8LURNZltUwYTrT3yCg623qeLJj6qdf2X8qML6i8C/fv98+YfE8hhYfv98Hdj7oXv238/9pcKqRIWwat67+zoXNx8mN/tYLYXIK7J4SulZlEHCUx/9HA3f4eWv/mvKckYYRhimiev4ZFFFkk1oNJaRpsELf+fnefFb/xZpWNRZQDCLqGubsq5IqwKRllTxmKXVZZae+SiDfofFZERcwWJ+hNIFwjWxCovZ6QGF4aFcaC0tEx4cU7vQdPqUTg/V6uG1OtRZ8X5Tvo1jVBTz+0jVoJxmHOzc53hvm81HnsRtN/HcBkGS0x72GZ2MsUWJNgtEUuL5LQQVVXZu/5acHuL6HqeLEyypSPKMcHLG6PCMhXZwDndZGqxQawVIag01OYVI6DsdUtOjHO+ycfEahuqjTYXjtYiOd5lM9pnfOmTzwwN8t09RlBQXBhy9/R6PfO6T1LrCVBopXLBqRKVI0xTLcanzGFHW5LLCMww2l9ewVESUFvzUZ57h8OAI6+qQ1998g8curGEVp8RFm7NAEKQCLJMiiBj2muzu7rI87LL9zgOU16Xh30QUY9pyhCpCwmIf4TboXX2Gyf3bmF7FyuyMqaGYL3LeeefeOc5k2CXPzplPSZZSS81jVy+d18PRRLXLoOhT1TFBmGE7BsKwiZOCtMxp2Zrastne3sbvdcgMg/npHq1mh/H0lBpNlQjeOh5z4YktWuuXmMz2qYMFaZWhyopxHjMdjfCUySzKGfQVVW4iao9MZ5DElJnGcz2kY5IUEwxhgWOTJQGUBi/90W/z0e4/wpSCLJ7yztvf5pEbV9k/PuUDN9cRRUmrZaOExFIVw46Lc+katlkwne4z6GoMWVEnU7TVxTIcjm59H1PUOF6Xyq4ok5ijd77GZBbgWC4xPi2vR1fPUZbNrC7IT3dpNjfJRIUuIYszJpZk3Vjh8MFrPPKJ5yiSnEF9DVcJZHvI9P73KAdt3PZl8rxBzYyqrGG8BeEx9vARZrMJjU6XqoyoK4NgMcI0ag7f+gYizzCbPXyvQ2QJal2hDAfp1lhao/Bp9BXFdI8LT/4kyWxMFM5xnC6JmlMrjeVaNHybMEjPqSLxGf2lC2TBBGkb1EmG0DXty4/Svfk0+1u3f0Qp/Kvjbyys74MEfwb47/+f32mttRDiR+oEE0L8GvBrAMO2Q1EEJFlMplo4tk1eljiOwvXWKeuC7tIyqTARlebazausbz5GGk3I8oiO65KhsUyXvARRJRhCUucZvglub4ChHGzTYHJ2QlklRKXDcneJix+8SpLXWCqg3c/R2kVf+hBFUZAsTml4A+i4kJ+hrCHpbEqkUxqV5MrNx8hli1pYtNp9zg4esDjbobe0Rj4PkKR4dY4YXGF9sMpidJeqSOhvrOM3eqT5CbIsWRk0CeYVhlYIVaKaDkdHJ4zmOYZhUGloJseE8xFVmZJGKYtFyLxsYOiUO2/dwnnWoN1aBwwyAhwpqaTg+PAIswpwvD6WcnGbA2oUplFjrV8lnDbwwyNsuwNSomxwpIfVaLBYjOi7UwarDyPPQrJohrJNtLCRUrIITlHChKJmMltABWazgd3pEE7GNFsenmHw2ec/iSVjyqTDKDghrw0avkIok2azSVnVmFIyPTkhzzNWN3vU2iQqlkjjlFV5gnQyqqRCNFu0+lep67tUjs8jacKWCcfTiGA+wSwTGv0lXEOSac3F9Q1qQxIEObrKCcoMlZZIo6CqNUVl0DAlLdcgmkVM5hkNz8a2TbqNNod5wdq1xzja2aXV9InDAK0s9g8Cvve13+eFX/qHSNfkMHyH8nTEbLKLpS0KKTEbNmUaYHevkOhj8qDEVCbacrFFTF5WFNmC8GCfjYeuYRku3eUN4mhOkAle/sPfJAtjbt1+i4bnE6x0SM72Ed4j1GlElhkYVYbZsGgPlwiDEfXBnGazwfHBNrv7b/LEU49QhxHNjRvoySlSnxJMj7G8LizOMIRDZ+Bx784PsBor3Nn7DmEw4yee/xny7Ac0166ydPlxxrsHxMmEVmfIxY0h+698m8U7h4w6DXpdk6woMNxVdDlHLV9jvn9KOToAbbIY71IWEr/ZIM4LOvY5DqhcBBSywDSgKTSy1yVNI4o4o0pirHaHC+sbGBQYpk29iDAsjzg6QVUlsiyBFOmb9NqXODqYUFUFs9MDjt78HVb+s/8R2zJIigWeMkmnR2CUlKEGaSCqGre/QroI0U73R5GvvzZ+lDfWzwGvaa3/wl/r5C/+4gshVoHR+/kDYPOH7tt4P/d/C631bwC/AXBluaWlWsJihGkK2uuXGB1MqaoRG2vLvPnyK7hLmssXrpFFI2xKposTmg0bUzSYjI/prVwiz3OkBQgHKTR9r8siCqmUpuU3mRojsByKOEbIkM2HHkEuDrHDI6IgxLIFqrGBjsfYjsCsU/LJDv3hTU6P9liM7rO/+x7rG1dJnAZVGOBfWMYSgunhO9h2A7+5QjibYls+p9NTOsOLuJVB78YHuGIqjCzCMR1aLRNlrDCejuhYHkFd8vLX/4hPff7vsvXuAbsn5wMDZXk+Emv6m1RhRnftSfzWEo4huPWD73Ky8wBQvPXS91nqv836zWdQhslZltO0mniODXIJfzCEMqGSBnWZU1USXWeY7TU6/SuE0SHN7g1UWbC08SitUcTJ9g63xvf41M8+gzH0SNMGRVUyO75LoVbQRYFlK/aORpjSRIsSrRSmDkh1RavRoE5zbEtQLAQPjqechQv6rWW6vVXSfArCoYjOkFIyzQtWLt6kkg5Ka0ByWnpMzKt0whkDa0F4tI3fW2H1yk1GR8c0Y5tH3RDfaTAJYpzukFJCjWBltYvrOiwmOaXOKVBU2EjHJalCbENBKUnz8tyE2bQpwxjHd9gf7dKaD8iqjHgxZbA0hKriNDnFMAVLFz12Twq+84dfRgs4G49o9pq4/U1yw2Oyd4/j0108p8XxV/8Fz/7krxJnh2gEOq+olINSNdHOHfoXVpnsHnDj0aeY5wl+y6MvbexMc5js0GgPsGSBKOH+3hHtl1/D6dgQhCytDdHLA+SgjeP0iCe7OMuXcdtdupXP9jt36Xb7+EIhTAvTsgi2bxFnCUtrG0Smg4XHRz/9RX73X/1LFrOCL3z2I5iWZOPSZZL5gjvf/HcsXX6Y1QsbTI4OONh6B39vG+m3aPZcnOFDDJfOsJwmO3tTVh5/ArMoGd39AbarMZfXmO3fQ9cNhLNCcnbMxsPXmY1OaDWW+N5XfpsiWLD++AsYZpu4KDgZhXTDEU51ir7zEo63TGPpAl5/iKNc8irCXb0Khs18bw+zYbPUN4mNLlEYs/rEf844yNHSgUpRVRmOY6MLGylzlKpQjRWU7eG3FHme/0jC+dfFjyKsv8T/VQYA+EPgl4Fff//4Bz+U/6+EEL/D+abV/K+qrwIo02L34B5raxdIkoyTwyPK0/d4/Z3v0P75f8QHnvsM49mCVErOju5hmy5mHaILRaXAbqwwORoTxDMe/dCHCGan1FlIa2mVb/7+/8q1p14g33iUxekJy2sXKJKYYHxIPT3GdEwqw8fr9NAiRkkPo2FS6haGiKgMm3J+gCcMxqfbLA8v0Gy0qPOCtJRQwP7Ou1zbXIVOiyJMmU92aFx9AsaCtYc/RF1DerqH53jksubeK18hvPIBGr0+Io8JEGzfv0unscyr3/4q88RGGxadzgpxOKHMIk4WEc3hZYTXI6lKhLJ49JlPUc1/F2mb9C98Assy0bJGKoWrBUKd90Zq06ZOQ2zLJK0LqAs0CtIa087pXPkAey//Drq5Tq1MijxAFuA1DPJ5h9f/5LdIqwzhrbK0ukGYFBy8+xUKoWh1VtHaQtQKaQJSQZ5g1imG1SBKUhZRAZbA7va4uraBrlKUAh+PKAlYpKCloJycUS9fRKmUKM5QSoFl4VhNgkVJmKT0ex7JK9+n/4GnsCwX0+qQLUZc6cxpKItQCOoCLM9EKp8ykzSaFrMoRUkPlwzDMKiTEnTNyupFsniC1hrXNkktSZCWXLvwBNISTOIAz+6w8+5LOI0mqxcfZX/7DrWsWV9dYZ4Lui0TjYE/uILnuYRpit1fpmE5mMpBSsmd17+LyueYSxs4Xhfb9gnnx6xcewTTaGB4AbXnI+Zn+KJkHEzJhYeoStLphLMiwojmXL94gcX89LzSWOeMj4/wuquk23v4volNTTLah0JzcXWZvWSObdv0ls5F9PRsiuc18C9eYHK4hXC6OF1FsHuHz3/2BfZuv00cpDjWAumYFIWke/3DhEmBiAW9yw8RvDumuHSJ1dVHEdaAu1t3uNSVBCLkiQ9+jMlsQTSZYDRcRntb9Pt9Np74ONP9Ec3uAGU7RCenZPMx83DG5ZvP8INvfAXldLFsnzLWKCEp8pR2dwldevSGmwglGO/ewmt2sP0Wi2mG1V2m0ewjLYEhm7A4ZePyRcIgRmgXiUTaHQwEcTDD9xukSY3Oz3jmp3+G0eEhMZrFdPwjSOFfH38jSqsQwgd+Evi3P5T+deAnhRB3gRfevwb4E+A+cA/434F/+NetH8cJ7WYHrz9ESdh57Q+R8T5PXr2MkiUbK218S/L2y18hDE+oyzl1mZEkx4SzQ8LJbZQFXc/ktW/+B9JFDknOYGmDaw8/j1pEjO58F8OSOL6izgMa/R5FEZCWmtpsUhsGmMtUdYqejxHxAcXsHggTszFEeR5PPvtRmmaC47mI93didTyl1zCppU14fEij32b54mPgDrn8yAfJRtsU0x3C8Q6M38IVJWvD6/8nd2/2q0l+n/d9at/r3d+znz7n9DrdPT09CzkciuKuhZKtmDICBHCcOAiSm+TGQf4ABkkQGEogy1IiBzGcxIhiw7ETO7SojaLMiBxyOPt0T+/LOX328+7vW/vy++XiyDe+SgAlEFiXhUKhqi6+9aunnuf5YKgGR/cfcv+P/wknu/vMh0PcVg9DKiByhoenTMcn1EVBkcdIXcP22gSOQaMRIlSFIkvp7rzM+rUvohkavX6HViPEMwJsQ6coUwzHokxmWLpEIUMvaxRhoKGgWA6Y5nnxc10gZY2iaETxhPF8iKK3uP35z7F5/WVuvPl1XENhdHrE6f6IQmoUcUo6n+LbFrMkwvP71HXB7t5T0lIjr2FRwixRME2LRreP11hmMT/Hxti2STo4xiigHJwyLqBMC7KqxrHPsTeurhOXGbrVYFaZ3HtwzA+lwd29F5TxHM0oCVa3cYM2y52AXv6Mpg66omFpKgUpaRwjVR1HUWg2O5i6hWdp6FbAPJqRl+fk0XQxR5cqoshAqTmdjCCXVEVMVAuqumA+fEF/c4PNjW1Wdrbpr69y55NHlOq5b9n2PDSp4ug2tuagGaCpGRWSPJmRnR5w8ul7jJ69z/DpA5588B7z0Qs63S61NNm8coPh6QHLK2v0WyHZYkKSnGHrOs9OTli5dI3eyiWUukC3dWx/hcHeLvfv/pCkMljMpoSeznz8gI++87+hlgPqxRkv7vyA4Z0/QdQFdr+P4XlU0mLl0jWCRhtVq0nmA9a316hVl2Sec3DnA2ZTWLn2WahqqugUM59hNEKKqkTIiscP7pIs5lR6A7e5yunREY4ToHkB0TwlsDWkplJGc9zARVVV6qIijzJajWXAww8b3PraX6XIF1R1gmmabOxcI2wGlCJnNpmCFGRJim06ON1tUDRUXaNMI3Tbpsor8qzAaV8gjlLGgyOU+AyhVtRKjm641KJkvqipyBFIFpMp/FmVp2n//+xjBZBSxkDnX9s34twl8K8fK4H/6P/NRaiKxmCaUGox3/vBTzDSIdZLfXqbFzl68D5/8uweFy++SssUKLqNouRQzylLiz/9wTt8/Quf4eDwPVYvXKa7scNifsQ0PmISKzTCLodHQy6stmmthhhSoioG9XxEVkItJ/itHapoigZIzaRMDjAKFSvokuUvqBMVtayZnyQYRoiYHtLfuE63HfL48cc4lo0YD5m/eJcrX/0bnL14TL/ZQdFddDmjijKO95+x+tKX8cQxtVpTlSntwCFqb7O+ukwcjRFSUtYFRaXTX19l98ku7bZP4CpcuXaNopQEzRbzWUye5qTVjAqNwXiE6/oMTufYvkqtCrJ4SF2B2lUxDB1LUUgVBd1WkZVAYmAoKqWAp3sHBHqIFBW6DpVS0wx8clExX8Q0rBZ797/L9ku/wA++/za1okAlKWSB6zjE+YJWw8Y0dV48P0MVFp1Oh+XNK8SL9wlDG0UR5IuUWZ2dd+JWFYUpMfyA6HhBHaesrCyxWEzQkBQ6aBoUeYmpKfSDNmniIG2X0SThWEKeTQkWMYY7Z2Nni0YqMHjMYrFPMmkh3Evk6QSlqhBCYa452HUFhkMtVVRRUicLUC2EVlNVOaqoIZWUEgz1vK2sNmwu3vgs0dnuuSbZ66AGy9RijqJbKEGD4+EMWb/Hyz/7S+hOSF1FgIGmldSlwfBkl+XOGkrgogcKP/roY6IEemGL650mskgI2h67jz+lu3aNtALHNFlbWUZaNkq24IwSJT7Ga3WxnRaq3UOtciyZYaoKZ4d36Fkuh4cjguYF1FcvIia76HaLdDok8AKKRU6dGTx4+DEXtl9mtL9Pe30NaZrYWEwH+5R5yu6iIshS4umPaXX/E04aDey9f4m5dov5SKfh92g1ezjtFershHvvfUxzqYcdeCjx8XnAosqIk4zQM4gXFZatY+uStOQcmV6DUwsWsY7ruDhBk3sffJ/tq28iijmaY3HnO/8Lt177AiI9xPPbRKWBJhYotokqarIookBFddw/+6Ga4W2uUdQ6SS4I0gS700HVPRie0VnfJIuec/779wAAIABJREFUk6Uqd9/+Nrc+/ytY/ha1/ufrCvgLQRD4zb/9a9/65je+RlhFlIbBhw8ecuPWa+RpjhO06C1dZr6Y4jU7VEWE5izz0U/eZWX7VZZXVjC1mgtXbtH0W7x4ehe/ucL9j++zfOFlGt0upiGwLIfx4ITnn36Iaup0ukvU+QhV65FNh+hajSoE5fQQrVapsinRi3dx+lcoCokb+JTzKUvrq2hai7JaIFST2eCMMjoibG2S1Qa2ZpLO9lCwWRw94ejD79C6+Aa9lovMZrzzwX32jgdMzo7x/BaN5VXSJKYsax7euYNally68QpXNjewTYHfOM//L1+8jm/5TKczHK+J44eQz6lVh+bqZTRVYpiCNMuRiyGa5UFWYtsOWXFe+q3UCmjnGfi6LinLHE1XaHU3mB/dw9QTLH8NQ7PZf/6Q5dUtfNtBKDXL269R1jWaobK9c4GVzQ2KaYRAxdBsXMfGai/RWV3BsDzcRpfRwX3CRoBIU6gg6PdwTBvfNzBMk2wWkZQVulGgaQ65SGmvbBPNx4z2HjOdjWhYLqbrM8lSNMUgyhNWWk1M18MwfCaJwCgjsuPnoGeE/R2k0Ai8Pmf7h9RFiZQS03Jx3A7oJaIq0USNYlY0mk1qmZEkOVUlMHUdL2yzutTGDXSiXKEuIupSpdXfwXB0DMWkLmOoocwqut0lXvnM59i5/jJJVNBZ3yaOJmimitA9NFHR2VrBNCx0y+Htdz/i2dGEq6vLvPXF69iqgsAhiYb0Okvn4LxkjFpELC/1GJ+ccvPaNtI0Wd24gJQqZR7R0FJmg31OzgYkmcKNl9/Aa7WJogGBZpCVBXmxoIoHHB6cvzQ0z8d2W+iWRjQfU5dQljmhUVEpOoppMz455tabP0+eFdz+0l/h9/7H/5Be2CMpCqLDT8/j18vrUE3RVYVofMB4OiGZvmD78hVEOuZscIpUJWUUoegwnce4dkk8H9PcvM76jS8QHTykqguMXkBeFLRWd9i5/TPonkej3cVQJGs7lzk8m+O6HorlUWcVXqNz7v2tNWohEOJ8n2nbYFrUSYpumgjLQqYTyDMajQa97SvYtmS2/5TFZETYWmJ6doCqGUhN8lv/8Hf/3AgCfyEG66//2q9963NX1+h3bGaHT1lqejQbDYJem0mpI9Umn975mOk0Yv9gl6VOyIN7d7l06SJSs6mnR1iNCyj1nCyXzOMJquXTbS9huR6K6dHtdAgcl/Xrr+F3Nzj59PfxTBvDcdCbfbRwndpqUhz+kOj0LsnkDKt5BWHZKKg4po+FpK4SNN+HUmUxGdLo9Oit30Rz1PNo64s9ZrVJu9ng6dkQr7XJfHiM5zfRvQ5ZJZFCZTSckFUVcTKm0VrFdXxaS5s0GzqGWpJPZ+hGzenRCUlesrVzmbC/wnwekRUZpiqRZY7UPGJMNtoe8fAEU2RoOswmCW7QwjUMZJ4QJRP81jKGrqE5DqrQUDUdCojmR/QtQRrt4rV2UHSLxfCARGhkRYKpqUxylenklGari5AFYdjn2bP7XL75BpWm4LfaaLpHFo8JWiGr6xcooxHJ0TNMU8e2bfJ4iumdxxhrKTE1geM0MVUT27MQQjCYjgibDVRNoOs2SVmdf00IlbJMqWpJLUsUqWOYGpZjUWku5ClqXkAZI7M56SxGRnPGC4XWzhaq7oCioSgKdR5jWSbdXoPFdE5WSn7840/odVqshybbF7ewQgfb9plNzlAUhWQ+hyLG8F2C/iad9QvESc50fMTS5iaK61EVBWHYRtNr8tKiqhXqdIhUwFTPbV2mqhEoE/6db/4y11+5TjNsMZ1HnO4/wTZKVFRcx8cN+mi6TV5Jmu0WZTJiefsGosxw/BZNr4FaK1Rui71n+6xsbmNoOkU2wdSgdeEyXrPJ8OSMoLtNWc7orV0gaHepPR+ruUalBwSr2yzmJVkikOkRx8eHLC9vU5QljeV1Bs8/ZH3tIqUo8d0AgiaG12Z+cofReIasEuraYn/3Gb21Pu+8f5+19RWePHpElEZodosyWXBhfY3xcIzphuTzIen4hKIoiZMUy/ZwbBej2aVGEgZNlFrieA1Ggyc0WpscHD7BMn0EOd7yGprmYYdt6nSOKGuqNELzPSzdRCo6Sl2j5zMev/9jJscH5CcHUObkskI3TZrLFzCCFpoVMji5j5hP+R++85OfLjSLbpiEnS3GUqA4S1zcCBidDijknNzc5OlH/ye1LFnZfJlb2z6TecW1G28Qhj1GccbKja+TZRG6s0Vl5CAlh4f3sEzwRQ9HMzgYDOitbxNP9qgrlaODDwiufR1ZKcjxCaqeYFg62taXMPg+htPHClYo5QJFCCZFgB066IsIOZ8ymZ6gqC5FafPgw/8Zw7DoX/oGW1c22D+dcjyes2Rr2HrGydkYRwM9nNLvdgksQRlrTEfPaDRewm+1KNMUL8+ZxhG1obB86TYffPgTbLdBFo0QtaQocjY315mOJxw8uUMWD+lu3aYqEnYPRyxOX1CJAktR8Jp9pqMjHKNJWc7QrC7RZIjf8LEcB6UWKAqUSolVSObOEtXxHUQZYRo+DV2Q2j5JNMJubpwjSygpyxTHtomTMW99+ZfI8wIvbGBoJt/+B38LXwkxAp9j08DREmZ5jR4vMLvbiBrUGmoh8X0PxWlQ53Oi0TGq66K5IR3fwELF8ts0+ku4IsdrdvngkzvUtUCtJaUiSZMZ7cYySQmaUlBaLeZnexhKhu40sAyF8Txmo2cTD0fYYQDEBA7cePUKwsgYTWuWux2+9/0fc2lzBU2m2O01Kl2wtnqR4eku2xc3UZ0OUugEQcDJcIBt+UhVwW+2KOUOfrtHFRXEeY7tCAZHLzC9EJKIbneJ2WxMnsTcvH4B12/gx3forK9R1BXpbIGjC67sXMFtWMTzlDTPWNm6wmRvF8O0MBWNvLWGtEMUwbl8oWksZMz7737M7OyQX/mr3+RslhN4O0TJiHgRQS3pbV5merJHv9dG0zSEJtENi1r3sFsalhPS2QmJT/ZIY5XVtR5a2EcxbVTdxNt4leL4HnWd8eLgY1orV1DrOWntc+XVN/jet/8eFy7e5uJKSK3YXF4NGAyGGJbF0volxocn1JrK/U/e58qVS0jLIWx7xJMYqatoanmOhilzFsMzQBBrJn6zgaRkaeezLBYxykFAJg20pEQrapyOhiJBN10gQ9aQnBxgNvqgKpQi4fn9OxSFwLB8VJETHT3F997AMCzixQTD7YCWYJsNsvinUAr47d/6O9/6y1/7WUw1w3EbuEHAyuYWH31wj9ngjN5Kl3anz717P2IRJVi2SyINljpdpNS58eorRPOEPJuhWC3e/ZPv0GhtcXz0HAWVqizJioR2c5WqMCmSESv9y+hWE4Uc1bDQTR1puaiKi+U1qaJj8mxEOX3K0o1fRdoN6lxieQ62mqI4XaSENDcIujto+hJhr4/dWqEZ+oTNLnUB0/ER2zuXsQIfFYHjGvS3dti+fJ3TvV2uXL2G7lrUQkGVOXa7h6gU8lrh4sVLbKw12b52i/t/+k958egTHt67y8NP3kWhInAc/EYbHcHp048QZY0dNHHDDmpVQJVTVwrR6ISqlKxtXyFdZOw/v4NpBxi6TTzcQzM9KqnD4GMwQbcC6rrmxUJne/0Cs9kpWRWxunEDtcpRRIpE0GgEpEmM0HyybMH7b39MXmeYssI1SkbzORkmsq5xO8tg2tRSsNRfotvt0u51aa5u0tu+zOJsnyTNyWVNOh3y1pe+Tjw9oZAGsySlzCtyUWCqCrKuz1cplPCvnoPt4odtmrqCjGdogYHnn+PJDVVQZgVaecZXvvYlpqXgbHKGVH2kt8b2yhLF7ADXMnD9NoskI0tS8sWMoNXED5Y4PTsiLhICv4NlWUzmExyvgakUOLqGME2O9x+TpXOajVWyaEyvv8oizlFFRdhsoOQ5bv8iRriJaUtAQ4iaShgoMkeUCbUQxKNj+heuYjVayEpQC4Xm8jKVNJDxDKgoyog/+N3fg8Kk12lyPJywsbWNbqrkhUDP5xRpBGVC2/PQHB+pGgirgygLpAZUKrOzfTpLa5RlCkWKquvoXhtDN8mzkiSJEekpDz55G9uQbF26zdHeY05PntFotLl87TUcb4XT0SmKZeM1ulSqTTKcc/Ril9PnL9jffcrWxiqxGvBi/wFhuIQUOoPnn2C1luhcuISqm9SypCpjtCpDr1PGZ+NzUKHTYmllCUWqOMESZRYxfvwBwrLwWusYjk0uzuGe8WRCmcxQ6ornP/ohhpixdPEag8P7RMfH3PzSz6PoNnWaY7fbGBqk8xFInb//++/9dEkBv/m3f/1bX/vcLd575/ssN3ziqiaOczYvv8STux9SFxnz8QmdZp9w400uXb6E4zb40+/+I+J5zHf/6NvopkJZ1UxG+1x68+s8e/4cw24RtNqURU0yXoCh4/W30csKQy1QnSaKBBmlqLYNqoaiCESlo+k2w+Mn3Pqlv0mpaqBr2EELoVnEZUJFSTQe0e13CFo9Tk4fYCmCsgLFstAMDdsLCPubHB09p71xG7d7mef33yUbjCmPHrDi6Ci9i+jVDDSXMp8znw3w3ZB0sofvWIhsQa2A7bTwnS69VpuV1TU8xyKtEvJ4zuh4Dw2NnVufod9boRU2mcdzNAWSaIbj2GiOy3Q8YxHNQFc42j1ArRZIK0CUKnkyQYsfEg+GSNWkUgRhd5O1jQ3iqKSWOrIuMHWdsspAShICLK+Dokq++3v/gjiZoFsagQuTNGMuNBQhEYrC8oUbSAQXtrdxHAtFUSnzkioboKohdz56nysvv8zm5iZXXvksoo7xG10W8wm+EhPaKqoA2/XYWFvj2huvs719kfWty8gqJ+yuUSkGaqhTTCuuv/pZHu0+QxOSOl6gexVf/ku/yuatN3n7Rz9BwSMvFix1+mS1wDJVGu0V4jxHMW1KIVAsl1bTplZNnKCHqDTCbh+v0Sa0LVqdED0f4pollohYbgc0fINS6Ji2D9IAkaCqDrdev83h8Yh0coJjQiEqOqsXyZIpYRAgdQ9NKZme7HHjy3+ZIolJpse0t69ycu9HKHVKNd4nXN0kGQ+ZJBXdsMHtt76MbRu0Ohs0fYcHH7+Lne+RpTmN/iYCiWY6OGED1dTRkDhuE8vtUMsS3W9RFxEiT/DDgKd3f8Brv/jvMnjxlEzWKLpK3zCwepfR29cQik64fJH+1nWc1ioCgZAx/c0rHJ28oLt6jb0nD9GCkAcPnhGZHl/8+s/z6OF9bKtktPeUSnNw/JDheIQXtoiSjDKdg2KgGRZ1LamyIYbdx2wEFGVFXlVYfohSinN5Lp8yeHSHk6d3MMMGw0c/YbB7H7+7yqMf/DNOnj3H9QM0r8PJgwfMo4L2+grEI+ZJxuBsl+nBQy698nnGowEim/L3//DOT5cUMJ2c8jv/6z/Acproysdsbl0lcFdoN31+9Zu/AKqDYqqUIqRUNHrLSwT+lMntrzGK4Y3Xv8Eff+d3+Df/rb/G7PlzRsMFdjpi6/ZtPM3GNhyMi9dIF6dYyZCiHuNuXqUWKvl8gtLxwXahSKCcohoeeWnTvvglojRBt3x806BS4Pj5XQ7v/piX3/oFiionLXLqRUK/1cMzQ+I6Y3ISYbkNPMvGCBzWr9ymyufEs1Msw6a1tsFi9yF2awk5fs5xltF2a+aLEcJrMZunpPNjThQIwyZVMmQSCVp+g3QxQPdcmk6DoiioqwwxP6CwGghhkFbinC7b36HIY1R7glLPQbVQ0KgWzwm8PmpvGdMqMFDIyoTA7aBqAbpMSe99TLWyid3UmEyHZHWKrupYUqWoa9A9hPSoS4XhbIDnO6jpiKu3vsjL16/Tv7TD7tMnVCXYEjYubRIvIjzHYTI9JZcqMpmde2l1h7qYc/GVl9F1gyKpEcYckhxLU6BMUd0AWcasb6wwGxyjUqMbNrpmMZoMmSUZrpNht0LScUYjdBlPhjQBoaZ0Wx1GWUFjbYM//vZ3MDWb7tIWZTJGIFjpdxmWp0wXUEmNyzc+z9npc+rFnMHJhEbbJex3ydIYVElgq0i7wcHTe+giwPCbXL5+g8cff4KsKrTxgKtXLnA2HBIlJkHQYHx0yubGGqLOqNOEYpGy+/53kapOZ+slHLtCqRWu3f48lneeFIwOzzj4+F36V19HRCdUWYyFQnt9Az9JKTwT5Ihg5yXC9cuIcs7m6JRo/2NE9oh6dQdLAyWf4V28xvD+h2ieR1KmNBt9yCoafoOiqMjqMfODx6z1ljh+/B6108IoUsoiZmE0EdoJlmUhFIXVV77K8w//EFOWqG7IZDQgP93j+u2fZffxA66+9gaP7tzhcJywtqTx6d273H7zK0zmY/w1nfUrr/Lw3e/x2uffIi0URJ3ihiGVamAbLnklUJwNpKNhaTo1JXFc4XUtJvkYrbbJCahb1wmbDQzDRKg6i/ER8+//E5KFoCRD82PURDKLp0xmCUvLDZJSoS4qovmMvivpNBuMgwPm/PnCBP9CrFj/u9/4jW+tNhoopsp0IYlmA65eu0qz06VOhxRFBbqLQYGejPjn//h3yDUdjwW3XnuLB/c/ZWX1Er2mjdvoUhUJuQBNZqx0erhhA7+zRjY/w7QdVFVH9Vx0y0UzAwQKUjfRqxytjimqAtUJUIuE8SSiTFIe/OQHnO09JhDnIL5pUuB6PkFnhbzK2X16RDR4gt/fQqtK0ipn5+ZtkqKmzmp0yyFsdclnZ6gSUpFilgvwl6nHZ2iipNIK3O4FosE+g6MXNNotKkVDFhWqqlBmFULTzq1QpWQ8n7L/fB+vtYzlNFhavYrt2UhRIpUaJ2iTR2fE8Ri1KhGqyt0PPsRt9Th68px2T0cKBc1xETKh2r+HrTe597xkqd9gUEpMt4euu6iWTjY/QlUlltVGM010w0DTDMzAY23rKl/8xi+RpHOmUcV4PKfZcOivLSOQZElGUZY4YZMyz6iqElFLFENFN1yqKCZ0fEzHQag2ZRpxcvgCtZzjhj06a8toXov+0hIXLt9kupgymYyYTsZc2FjDDnxODp4hKkmkWbh1RFmW6LWgrg2SKmOpYbJ++RaO5SHNkrPRGZYCcXzK5PgUzWtTCyiSKZ5jUgnB2ekQtJJLN19ndjZAYHD09ENmT+8xHe7x1b/277Py0m3iwYxZIYjTgq3rNxke7aPqHr7vYJk2ZTTA9bv4oUONjqFaxMMjJo/vMTw6hGSE119CZhmTs2dsXn4Vq91Ct9rks3NSrtfv4zRXWURjwOSVr3yTZ5+8h2kYLA4e4nZW0E0d22sxi3JWtrYpZ3PSskYp51TSQqCwfu0VFN1EVUzC1jKayCmHT4lOdrEaLeZHh1j9dQDqokZxffQiRrU9Wt0tdMugiOeo9RxZLGj3L5AMBtiGyWC0y2g84MWLfcygiVqXrG7dQDcM8rpksLeLzAuu37zEPCqpMxCGTZHG6FKel2wLCVWCY5rMJ1OytETIGstvksyGJJMxbrNLu7eCahtUWQ11hR30OHi2i7QN8nlCnkdUcYnRXaXdaoMsuf7z/x66F2BpJqfDAaPjfdprlynLir/7z3780yUF/Ff/xX/2re3VBg2vjW9Less94mRCp7uCGh2BplLnC2SRoJtwaWcLSkma5WxubWE5AUdHTxgMByw1PeLZnOeP7yGlzjyLybKC45NDVpeaaFL9s1iEjjQcNEWikqMqNaJOUJBge8g0B9PAVHVkIXB8h4bvo7oOutUgCJss4nMNStYFmtMiG+/TWNtGNTzqSjA9PiCPFghN4rZXSRYFlR6Q5jWebaFYDdSwS1I6lHaDQhoEjk1SSPoXX0EtKmaH72P4PqteAz/0EQLyNOLo9JAn9+9TZjmLeMalG5/BDxsomktZpnhuk7qKKbMMQ6nJioo8Sdm4fJ28SGmGLq7lAJIqT5BS0DETkuiUoxOPg/0jFKmx/erriLpG5iWPP3wbTIXTkz0KUdNqddHUkk5vA8vSWUQLkkWCG7bodjoYIsJ1Q4osR+oqeVliagaGaqDrNoptoaJTp3NWNi9SVyWqG1CWJbKqcL02q9svUedzOq0ezdYSTtjm8Ph89dZa2kLXSrI4RgqFi1deQkjB5qWbrK4tM3j2CE2pWKQ5M2lz+OiQlcvrPNzdI1lErPS7qEJimR5ZmdBohKiKQl3lROMhtaYjkhhD5pjBEqKucH3rXGKJjymMPs/uf8pw95DVl25wsveEhmtiWApus4sXnLsbJo8+Zh6dcfMLv8Lp7gM0y+L0yce01rfZ/uzXcMOQMh7S7S9TVDWKhGwyZuvNL3B4/23i8QjbslmcPkdTQZQQdruMTh9j2zqzswOCC1cReUYpIJlnoEGexyz1+2iBiZCA5aJqGtPZAMMO0KwOmih48t4fINKU3rXPEMUJ08NPSceHeL1NJBqmGyCR6KqOarcoi5wkmjN4/D6O6jCZJuizR6zceBlPb+JaKoNxhG2GWE6L26+/hhd2yOIphuGDBivrbdJMR3camLpPLYC6Pr8/WSPLiPloRpZWRNECI1mgeg2kKHC7GwSdDVTbJo4yECWijAj9kFJk6EDY7rC2fJFPPrlHjeDqK2/gNLosX3nlnPjbaJFPhmTziKd33ubeO9/m9x7x0zVY/+5v/ea3fvHN24zGQ66uNrBsiypZ4LsaZjFBJKcIxcd0HdLZgKOHH9ASMf3VDWSa8qM//SOi+YRLN17m3e//EabjcfGVz1JrHkqWsjh+RtvKyKocz29iKDp6s4GhWGTRlDqL0HWVfDRG9/vIMkfRNChLZF0Q9jrnVEspSVJBo9sljWdYhk2WDkBTUauU/uXPITUHr71EVSYouoFhhfR3thk+e0qa5bSaPlazja07DAaH5NGAN//Gf4qaV1RZTqVZSBSqLMdqOHzy/T9kHFcQrGC3eliqycGT9xGaztrGFUajE4p0wa3PfhU0DVEXiEoAEs2wSWYzhmdP0XUXyzZ4/uB9ltYvcXy0y1K/gWae01x100TH5HSQ0/IMDscFN37h5zAdnzJPqIuENJ5SZhGmE1JlOb2VHURdkSymWK0+ogQvaKCpFYpagQDdsTEsh3IxIUtrQtehrCpUzcCwdAxVQ9fgxptf4Gx/n9DR6LdXkULSaDXI0px2f5mT3ad011ZZu3SVOhfomoaqVCiKQimhFAJRVVSLMV53iaQUxOMXlJMpz0Y1Gx2HebxAdZpcvHQFW7MwTJXF5Iw8nTE+OKXZW6OcHbC6vkVvZZWD3SdUZUro6Rztf8TG9c+yGEcIy2Q0nmI7Hr7bQLcMjp59imeBYeuYTgOkgqobgIZmu8xPdskWA6RqIaI5WTpl89p1Ltz8EqPhIaqoQMkozka0Nq+BqnL32/8946MDpoNdwvYGs4OP6F/9DPF0QDKbELgO+WxKlmYYqoOsS2SeMB0OscMOltel1iS18Klqk6TIUeoSTTXJoiFFcsb4ycdUVU6haEwOHjI8fMr+44eoWoItNIzGKqVQUDUb3XOwDBdBhSpVzDLi+Q//D9o3bpFN5xTJFM3QqKTOhStX+N//xe/yxS++haU36Xd8oixDVypcs6LT7eP0tqCuCLsrVKJEFTlpUuPoMD89QlHt8+4AKYhKgV0nlELB7XRRUGgtrzIpJVUyIxkM6AQuazs3CIMl2kLQ7be4+vqrLG8s01lawVu6gOW6CCFB6rj9DZphg3mcYobr/NMfP/9zG6z/jyKt/19vhq7R7QR87XNXeevNz3Hz4g51UfH8059gagWK28GyVcYnjzh5+gi9lgzTGqYviNSSn/vlX+TGjZfZu3cXXVQ0222UCtoNB6fTxe01ODwdsvv4kHfe+ROOBwdoqokoI3RRQZ2RDE+oakGeLxCKilqXqEqJu7KFluf4eo6qZqi6xWQ4AcVj9dIOvqGhLE4JbBVF03BcH9108Hvr2MEylZAcP3qO4wUEvVU0O0QUOVl0THfnZapa4+CHf8To8BG6WVOXE6TIsU2DF3c/5MYb32BtfYfQdpmdHlNXCU53i6XeDrbXptnuokuNWpSoqkqV54gyRkVF1CXvv/M91EwgT57RbHS5eu0NNEWl31tjOh2jKqDpAiFLBs+eoDstvJVldJnT7rWhTpAiwnYMdl56lWb/EoaWs5hPiMqaQijUdcnpkw8wdMno6Am6BQcP76JaGppuoJoWva3rbGxvIBSBUs/IFwPyeE5eRZwePjx/ERkW8/GEPJ+hG2CYCmGnQTLeZ2ltGUUqLEYjdL1AVXV0pcBVQUmnuKbB2f4zclmDFAjdJbj4Bu2tHXTb5tG9CWqpUt37Pqrls3r5JdJohuW1aTgdui2bwDKxDBPKBE2FwHPOv0xmM4LgAnufvE9VxMxO9qnKEoqMJI3Otfm6ZvD0I3QB8ez8uRbZDGqJ6jcwrBb9zW1ufulrpNEITWh4YZfn998jq11EbZCNZpiWhmHrlHXF+q3Pc/nKdV7+wl+ipAanSxFPUFUXwzCIohLd8jHcEMPVqcuUoGET9Few3AZVnZIXCooXggGW43I4Fzx5vE8+HBEdnJKVGb7r0jQqTNNifHBAb/0CTmMDhYzdd/8nRHRMVcTnft50RFVVFMkcqYe03vrrVKWPvfISaCGDvYeItGDv6RO+8vnP4Act5qMHPHz4AcMXDxmf7JFOB+zt76LZJmYQUFICIBQLw9Qo4jl+2EIYEtWSSEVnc6NPUeY020vopkVZFlRFjrM4RI/HdIIQUWqIKqG7scTqV36emVCJJzMcp0U8PkGJhmiOhx80UXUNXVWw2kt8tHvCf/4P3/lznWl/IVasf+e/+Vvf+rd/+euohko8GWBZDiJO6QcdjN4Wqhby8M5HREnM6fMD6mrG2ZP7LL32ZQJT5e0ff8TK6gbdlsOTT++xfuUKy/0OluHSXVojyhUmp0d4bZdCGAzGM2ZHd/H9c/+llCWizlEV5Rxtkk+RtYJmemjZnCRZMIkiyHVWAAAgAElEQVQqIqERBE3SJEEzdYZnx/RaFouowNIqhKpjOg6VplHlMe/989/GIGflym0s3cbwG5SKhVAsVNPBC32kZhMvBtSTZ8iqRAod0zLJ04hAS0EWnJ0cc+Hibdq9JcaLGaauIUwfRdNQNJ/O6jrt/hKGrCmyGKE6KIokmgzo+zpG0GBj+xq6NqFWXWqpgFTQTRfXdVCEREcyeHiX1euvE41PULIZ/sVXUKTBdHTA+so2ukxRVZP9vVNsW+Pk8Ydoqker4XL46UecHj5B1jb5aMDy2ionh3t0miaKKIniCJQKBYmm6ti2iyhTkumIrQtXeHHnHVRFYGgqaTxHJSPsLNFY3sQPl9DqhLPDp1huSFWb1HXOYjpEM22C9jqNRkjQWWI2nJ6jyrOcWtUQtot6OqEWKc2WS2AvMTMKBscH1LLi+s032Xv4IVWlM52cUNWgKSrRYozdWOPwyUc4lsPm1ZsYho3t2sxmcyzDI1rM6K+toVcVBTWW3aKzcwVNtRCywDI9hApFtcB2Ap6998dEJ0OqPMeoc04eP8JwgTRCr2JUzUCzLFTbR0EyuP8R5eQFWV1QxjNMQ3JyuEezu4TtucynCwQOmm6y++gegpr+hS3yQgGxwPQdxJ85OBTDwLIdisWYKzdeoihSotELJJLj4zFFadAJbU5HI0YDWFpqUedT/M46ShmTj56gKiqa16RYxGCaYHuoEhTVwNAM0ukAzTIoy5TNa1/gaPc5l195g+loge2YGKZHs7OJETSpUtBtF7e9TJEvUFSVoixQRHxerq7VJGmJYapUWYGCQJUajqtjtZbJKhVdiRBlhlZIkAK31adIM6L5CNXxMUQJRg+vtXp+brOF12ohighVNTEshyKd8H/9wR/gIbk3zH66pIDf/PX/+lt/8z/+D5gdn6Kg4vkm/aUOXncFVZGoho4XNMnzktVLl/neD37M17751xFKyXg45sLOJc6GAx48fELoO/SWVphHGY5rYVsm05PnqGhUpULL9IjP9iCZ8+iTH6E5Kl7YwkBgaDbIGiVfYPsuigaa3uB0/w6a1cRtOGimhVQNVLVGWi5iPsRqbJEmMWpVc3ZyQNhoQVkzHR0wTVJe/9K/QV6de1jLZMTo+ICtm6+QTCak8wGi1rF1i7SI0TUbVVHIo5jB4QPsxip+Y4lxMmU0PmMwGJGmGStrGyzSBImCqmgsb65QAqpuoiKwdIPZ4afohoGpqzgNnzIeUUoPFBddLzC9AEXR0WWOLlPK0Zi1m68xevIjZOcyq1sXKaXAsUPKWhAurZ07JFoeWpEjnW3eeOuzlFlMmpf4vQ2aYUih1AS2QzZ6gWNoaMUh1dEeFAVYHvn4AL2oyaqSRhjQXVul0VsmSWZYpg7UFGlGe3WTupijmB6NpW2OT07RdQcpBVVV0eutcLj/kNXLr2NpkCQxfrODabWIswpTV0B1aa6tsb3R4OYXPs/o6Cnh5g2yXKXR6fPs6WMansnl179MPDlDaB5vfPErHB68oNFqcfb8CUlyzu+68eYXEYBtO0RZSqfXQZY5taiQdUFV1+xceQXV9IgmAyzPx9AMqorzQu/N64h6gWMHeIGHomoUeUY6X2D5LbAaDMcpUZSTJgl+6JNnAt3rcvrofbKqJuxcJq9rVq//LKdnEyrVRrFC6iIhCNtIv42pq1RZBLWKYRnIEspigYZELwrSuKZenKE1N4hHc2x3lU6gkZw+Znj6jKDX5eT4kOP9AxyvwY/ffoedSzfZee3nUADNMnBsG8vzKYsSQ7OQsjgvnQ9bhMvbmK6J3+yjoaDqKqHncnC4x8rONZr9VXQEx5++T76Y0F+9QJEUKFLy5OM/ZHXzKmWtYTseSSlRNZW8WGCbNtF4gt/v4RqS+OgJTtBBjg4xdQ2Kgjqdk8xGmJrOYjTF0nTy/Jx3dfzsbfqbLyGKOXVdokqNskxYDUxuXNvmH/3pvZ+uwfrf/savf+vNzoIgUNH9LunRc7J0jmq5tNZ2qEVONByz1goJ/A63X/8ZOq0ODx/fYWv7Mid7D+mEG0RJTtC0saw2QXeVIi8wDcimZxSiou/ZbN98mWs/8w2irORo7z5LRs7Z6IzhOGU8PSMan2EaJZ0LtzA9nyo6RVcsZDXHaS8Trl0miUpqbLLpmNPDYzw95d5H36W9epnR7idUSYRRgd/aRNYxydETnG6TbP8uIk/JKsGzj37C5GyPqtZB1TBsG7WI0VQN8imeYeLY526Ipt+lpqSuBIYXUgtBuhjheh3CRgvDNPnHf++/ZPjoQ+LRIbPBYyZH91jbvEQdj6hljOU2KWtBZ3WLTrNDlsSYpkexGPP0w39J9uguwXKP1tWfZfLwO2y8+lWiPCf+V61ElCwmE8KlTebTKYu8oH/hIhc2+xQVbN98jdnJCVUFjmGgGToqkqW1PjgNhAJ1PCJJZpiTmHk2hiRm7+Mfcevrf4Wl5TX27j2ijAeopoNpGExHZzhSRdQJdTpmZXMHVJMKjXQ2QSgKdaWymA3Ik4KyBlHX+L5ONDlFt13qssK0ob10gWlaofc3MZodGmFImddIXQf93IKkKxrJYsL7v//bNNZuYVsNeqtbZPmU8WiCanr/N3dvGjNbcp/3/ersS5/eu999uevcO/sMqeEMOZRFUrY2SnYUKQgQ2A6ixAiQIIi/2PlgQERgBLGzKEIUGDLsIEri0HbkOLFDJZQokZREcRnOPrwzd7/33Zfe++znVFU+vBcBnNgUbRlBoP+nqlN1+jS60U9V/+v/PA+zyRizltgGKHlBQBB1hWEZLA5u8eKP/AymZWCZLlGjjVKKPJtz/xtfvCBwaBudnKLcNqlUOE5EVeaUWYzfa2MYmjotaK52yIVL2O4QRiFmq09r4xKdtS3OHj1k5fIzhO0mZVZQxRMarQgv6lDmGWlc8p/8tV/hT3z6FbQWmEKDYVKWFVVRU9cJhuGgDYdGb4jOY1ReMl6e4zdX2Hr5x3CDPs31Z+htX+HG088j3A6N3oA0XWJbDoZtYgiHMGpQqIuqj0sv/hDT8ZjuzmXiaUY8O6fIMgzTRImKjc0reM0OdZHhOBZKWKRZjmsKHC8gj1P6vW2EYeCojLwwkNqg1QwwyhRR54TDNaxsTpFOsdwGxXRG5fikkxGWIVDSxHYCLCukmozI8wpVFdimg3QcXKOgqgqKyQgzcrFsl0YjoCwK/vuvvP3HC1j/q7/+V7/wfKTwXJPTo0f87odHNB2D4eYGnd4mZWXhuzXCMSlrRdTukhQp3fWnEGZE1FqlqEo+9ukfod0b4gZdhKpR8YyH779Ps93GLiouPfMaRhQxHKzjOi4Nr0MhFIbdwLBDOus3CBp9yuUCzzeZ7r/H3p0HlMrkzq2PmJ7dobv5LIYT4EQt7OYGZq3Ze/AtFmdjLl++SmvrGTZufox6McVWBcPdKxSZRI7uMJvOWHnmNWqpcIMIL2hg+y622yZghmmYmFohhAY5wWhex4kGCK+B77VwgzY2BQ2vgRc2QBhYhosX+gyG6xTzY0w/5PLl66TTBMINHt59h3p8SHtwCSvaZDGds1im2KaNsA1uv/l1dq6/QD09xqpLnvrz/zH7v/1FZO8GpaopazAMFzn+Ls12xIMHd0gXCaqYsn//Fgf7dylmI4Thk+cZVqOHH0ZQpJRVxtHBe/SGW5STGfH5Hi3Xo3R9eiuXWIzPaXVCMG1O9z6irhc4jocX+FiOi1Fr4nxBtYypFhOOzs/orl7CAkQZk+UJXtDC9yPuf/QeTz1zk/PpEiV96mREI/ARtsDAxAkDTENgWhbCdMlLk1LV2BrKdIHruRim4spzn6S19gx+1MYPfaoiwdGK6fkhz7/2OQSQFTmWcSGHZ7kNlot9KGKefe55Dvdvs3bpJaJGk8ViTJXPiPfuYNQGO8+/TF2VhJvXKLXCba5Qamj0t2mu7FIBwmyiHBOZlgRhgLBNsvECL3TIFglr11/Eb3kksymLsxFru9tk6Qgv6JGlS4RMsb2Q3/vq1/n8T38K0/CYzmbYpsR2GmAoTCGwggitJXa1wGt5zI72CAeXGO6+jNaKZqNDbxiytrGCEBZG2CIrlriOj+tF1HWBlObFIaXboYhHlPEIsBjtH2K1QmRhYLouwgpJK5/WMKCYzcF1EEqhlKI7XEVJKKuaZm9AUVWoSiPjOeV0j2w5o8gzvO6AWhpgNtAmuG4Lv9Ejy1LG0xirO8DKM2QxR6dj2leuUiuDfDrGMCykrnAMwf6Hb9EaDvBCG1kLqvkII04oZc5/91vv/PEC1v/ml/+LL/zbP/s6zeF1jicxz1/u0ghbBJ0+cZIiDZdqfk6jEeH3+hi2Qzqd0QhDwt4G4WCdLF6wPLyPlBJDLiiSKZeeukFnYxO7yOmGbYoi4+x4jzweIYSg6VT0d56j3VrhU//Gv8/Be2/T6vTQRsjo0W28qMdg8yrDp15B6ZSDB++yevN1tq49i+MExFmFIRQDV7P78o8yL8EqayopUJ5JPh2zPHmfweWrJJkgnY9pbW7SX70EgEwWVHlBWtbI8T7J9AjbsjB0hSoT/M0r5GmM5doY5oXbpCwqgk6HZtRAlMlF7kzbHBwfks0nOEGI50ZUTp/ZyX1uvvxp+pc/QVoJPM/G9TzsIERWGSo9wbA0gdAs909o3XiV4vY7HOy/QWv1BoYT0nA7aFmRJRnz+TH99ZfRZo2wGpRFiem4bD/9CquXLuM3AuosxRASbWh0lePaHVRdM7jyAgfv/gHKbRO2VpjPTxB1QrMzJM9K4tEpa5e2yGOF5wFKobVk/94tWp02pqpx/A6WY7J/9wPO9t4jtGJ2nn+dZHKG6bdZTJdUEpywSalcbEdzuv8hx/sPuHLtKkVSYEUt0FBlBb1ej2x0iNdq4poaJ1olno0vlJSEJMkqPC8gLkqEtDk+PuCVH/4MrmMwnc6whYMfOiTjMbPFGCeICCzBh9/4X3j3zQ8okhGz8QxRFoTNHkbUw3R92rtPYRkmRthC5THCdalVjWsoPvru12nvPoeRzqjSJaVlo6RFMp9x8+VXqVRNp7vFMp1j2Cbz0R5GGSNsD5EeYcoKISWfev01/E4bZRjk03O89pB8PqHRbKFtD7+/hsolmArPuXBPcByHRqdJZ3ub7PQQkZeEgw1KtwkY2K6PrBXp/AzLCRAGrKztgGUTn+4hbJ98PkPYFmEUURcpluuQlxJJjVfnaEBLiWv7aCSRpahUhbGc49g2btggL3OO9u9Rzo7JFiOyqsasKrQZ4fguBpJGf526yrn28R9h7/b7OELgNnzys4eYjQFOu4lhSSQKpxFhOjbLyT4Vmq2nniWPK4LeCsVH3yLsDhFmya/+xlv/31YFCCH+ohDie0KID4QQXxRCeEKIS0KIbwsh7gkh/t4TTyyEEO6T/r0n47t/6JswTJRMUPmUq2s9bCNExyeUyzEUBSI+wgvbFKUBRYxOEsp8weT48cVKbJu4dYzZcLBESpqmUM1JFglCS0xH4Q0j+lc3ufzcS0RRRGBIqjpFZCc0mhG/86t/ieHVa0ihqYMI0xAYlYEWNaNb3+FwNOLy0z/GyQdv8NW/8ytk4zsE2UPM+gR7bQNEgROf4XV9LD1HjB9w9ebTdIa76NE+s8P3WC6PefsrXyLJYrxGC3ewztqNF+i02kyIsNrXmWmXyluhNEKqNMfxL3y8pNJIWaFNC21Y5GmB02ggUAhL0wwtXvnMT9BwmzS7A1YGTbrrWwy3VlnZ3SLqR6QpFGVJPDmizFPS8Zi1jafJH79LVVUsH93jrVt3iacQttZRRYK2YLac4HXaeOE6o/ND1gZ98njJ/PSQZJFy/PAWw9UVksUY27VA5iilybIMZdTkNdz+vX9IuLpDGBjMxvcw8Qh7OywrA6UUptNgcesWWR5T5iWW53P04DaDjU2oKqTKcETM9PFH+FbG1uUbmM1dTo8PWVQGw26P3atX6HR8hMrwuyG5aBD6Q6LWgPv3HzGdzzBNm3avh23BPJljtyPChk9R5aw/9RLCtlkuF9TaojlcR7g2r/3oj7P7/EvcfPHj3P/gNkkiCcIGtaiZnh0jUKxvPY9wuzw+nDNbZHQGKyzmKWVZUpUp7mAFVRWYls2Dr3+RD37/yxSj+9TpiDqbItOC5eSErSvPMOg0sf2AsLtONZmgdIY/XCNXmnw5ZjYbocoMx3Fw3SYr29cBsE2HqpLYvolv1aSjKaKSVNrAbXSQtkuSC0rlkS0yDEcTjw+JJ/sEombr2ZvEWcrht75EaJaQxzhOmyjsYDs+Qghs2ySwI0zLo8wr7t+/y/nDd2mvX6O/donmxiWsMCKuTFQVE588oFoeYFdLKqmxXQfTgqrOcWxNHi+xyhKn3UZ5HkWyxLPApGLzxc9y/RM/xXOv/EmkMHFFQnp0i6M773D60dukoxMsbXP9pU+jVE1dzmluXyHc2aYWBvPZFOXYmG6NaZV4kUPUbtNc38Q0JGp6gnX1BWLLQDqrfwQY/adg2h82QQixAfwHwMe11s8CJhdurX8N+CWt9VVgCvzCk1t+AZg+uf5LT+Z931BaM11ClmXUSuN111i5+nFErrENwfTW75IvxxTxGVWypKJESk3YXWW89xGTe98iWOnhOQHIEplOqOen6PKE8Z33aDoV09mYbJGSnH6IzlLS+RhFhBP4lPNTtm98kv23fovl9ITy/BaN1R1Eb4XRImWWHPPC1et01/usra3QW91F5jWmzjCTMXp2ijA0pieop8cMtq/y5lt/wMnxfZaJZJa7SHdIc/1lHAw+/MqvUS6P8AIP0wC/02V96xrSqAlMm9HoFH/wFMIKsfzGhVI6ksdvfA3H96HIEbpgMUuo8oIyntMUOZap6G9u8vD+XWazGWmW8cEbf0A2O8byQiwjo4wnDNo2g2GTnSvXyLOY0B9yeBizd2ePww/eI7NWMBpNXL9NksfYZkFVLJmN9imTMaqYo5ZT+hvXcKqCcnzI7e9+E1lIzs/P8Qcr1EVxUW1ReiAlTncX1+kxXUr6G89h+S1qr4HnOFjCxRIurfVdmo0Av7vC9HRMa+MS77z1Nu997x0qbRFP5zQDl3bDQ2vJb3z7PlQVke9hGSZJOmd9pY1WFcRnCK1QVk27FdGOmpTJlGwWc3jrPRrNCFuYFLXJfDIntF2W50egTIo8hbokni8g7HPvnfcYrncImz6NXgMn9PGjNo7r4Vguze4apukz2NqkrmuSvECYLmVZISwbqQwa/S62bVJVS0bH+xj1HJklOF6I41gXtGOp8TpNRo9uYYuUqNdh/cartFe3WJyfcPDR+5ydnHCyd4d8MWJ2eBuVz5gc72PIBCpN2DAx6hiv4WI1B3i9q1x6+U8xOzygyhRlpZidnBCXJdIZ4PWuIZ0hVtSlri0kFo2dF8lsB8mU2fgDkAuaDS6YcY6PHTVxn/z7md39Dk8/+xqGbdBa7YFp4kVtDF1jugFOGNGM+jz1/AuYpkmpJNkyQdUKIWukMJDYyEqhyppKGAhDU47vU8Qpqr9C6vpsPPtpou4Qz7B44dM/y9Zzz2HaNbff/BKjx++zsdXCcV2E7VNVFabj4DoeviHJs4q6qjjee4BMlxx840vIZEahcvZuf8B8nIJM/8UQ9J8RP2gdqwX4QggLCLiwsv4s8OtPxn8N+DNP2n/6SZ8n458TQojv++pa44YRs8Uc2/cwRYmybfz+EJVMCNZvUqYZg7UNitpEJTHNyMGc30EvTnGDJotHD6hHDwj9Li3fJRABx8dzlHCZzCRGFcPsEV4YIMsMrUNaO9vkVRMdtfEaEbvPvUKoUjw7JFlMUGWGq2yU2yeuFO+8/z3y2TF9N2P08DbL+YzAdamNJmZZsbb7NL3ekL23vsrzr3wO7fc5nu2TpEd0eyv0Bh3agwHN4S5O0MBUUJYlg5Vt3EaT7toVvE6TZhRS1lPKdMrZgw9whIVRadpb13CjPoZpIaVGmyYVBWV2TGPzMtV8wnTvHi1H0426+KqkGD1m74N3mR89xqqXtD0TY3HO2b03qLKUbuDx/p1HmELz0msv0Hdc2nZMGLk4JjC6gy5y/t4/ep9YwsrqkMnZOf3dbW5cv8Zzr7zG1Zc+iyov7C52Ll27+IH3VomGOyRlfKHeDjy4/S3CKCJqDzCbbYRl0RiuYEUubtRkKh2kE1Iri97OdRwJn3r547z49NMMN2/gdS6TGw0mi5z/9R/873z5H3wNx/GwbQuj0cD2I7Th0u0NcO0moVXT8xoMGwFmPqK3cpnjswWFFGizJvAcVjc2UW7A/v5j2v0+rutiWg6TxQLXUqTTc1auXMEQICtFXVbU6QQbSegHtAcrNIeXaa6tsBwt6A42WBlc5tJzO3z2X/nXaDVDtl58hiJOkKZFrSy2X/oJ/OaQjWd/mKA9vDi8tBRaK7L5EqcRgKGpshmWWTE52sdxG+Tpxam3XoyhNmn0tjAMgywtqUoosjF5nqPymtqo0YYBomJ5/gC8ANsP0NUcoUp0krI820cJD7QiO37I/u//LpvbN/EaA6Q0mc+XpJnEMYBKUhcLHDfEtARZPOPkzjfJj+/yn/57n8OzfebnS7J4QRqXuLaF418w2SxxscC8+Mk/RTVfkCYSVRe8/3v/B8oAN4pQFihd0bQlzbBB5/JLtLbXsIXGVgpVLZFlia4WaArSZYUiumAzLk4pSo2yPCqhKZcJs72HpLMYVE3g2WgtWd2+jhmtcHweczSOuX9vD6yIeHyC7fyASPgDxh8KrFrrQ+A/B/a4ANQ58CYw01rXT6YdABtP2hvA/pN76yfz/wlbl//XmzBMTDNkc/Mqi9MDTMunPH/EYDCgqEqWx4cIo0QHQ5LawA0DGqFPf3CVYLBDJUK81WsY4QazAmx3QCE0q1uXKJIFhwfnRK02aalIjk+Yz2KClR5lIiixKDLBcpEha01jsEpgB3SHl6jjJVKBNnwmZ2fIyWPGZwcU+ZxlFqNEQIyFrhbk8Zxidow0A2wv4u6bfx8KScOOKOw13v32Vzk9u01R5qTzc/I4oa4SpscHSCkRjkWWjkjikmWVk2clRZzSXHuGqqoYXr+JrhVn976DkjlFkVKej5ntPSaZVzx4800m8xE3f+iHWL/5EsPtNRqBz9qll7HCLmYpKeMRnm8xeXTI5e2nMD2bs8P7TMYZTqNFcv6AdmCwWJScH57g91Zord0gCn3+o7/45xg2BywXKevPfhLLsFH1xWFBni3I4ox4ekZdzanzgjIZY9U5K2urlFmKYQd0dp6jKAoIXYSoaPWGuEFEf2MNbEW4soXh9zAMGyyT4e4uRVYghYGuJU7oUmnQxZKbWwP+yl/+eRq9DvlsRrZcoLMZpmOwubGCJSocy8VwmxTSxfa7NBzwbQthttHzCUm6QFY1Dcdj/93fZ/O1T9BaW0fYNs0ookgT1ja2Obz3PovRiPO9++hqiWn7VI6gKFOEEPiGxKFGqRo/anHpk38CzwggO6TdU8hSgm2RL0e4rosTWFz6+KdYxOcIt4FUFtoJ8IIIYVSofMJyMqGqY2bHD7AsB8NycMMAy3Dx+312bz5Hp7vC+pUfwgkipBSYVoBdSSqzRXoSYyVTPvzNv0kQeNx4/jkcLyTqDnF8C7/h4eiK+d671PGU9HyKVdac3PoDinyC7Qd0t66ikhlnBw84fHwb1w+p1ZTbb/0mj7/7ZdLTh/i7T3Pt8hp3vvFFSqUpzBbNlo9SgKoImgO0zPnoa7/OB9/8EpYNQdTA8Tzm8TnaConzAkM4iLwiyzLOjg/xHAepBNQVlgmogo/e/ha6OGf/3W/QaK9dSFGKGtO40PwwpIFSICyTHAOj0SO8+gp+q40TOvQ3t+htXqG5cgNteNhmG98PCaIeJ3dv/fOj5/eJP1TdSgjR4WIXegmYAf8z8ON/1AcLIf4C8BcA1vpton6TtMhpuBG2meKvXef04BENnTMPfWx/wNm9DxHxhKRwaAyHTGcTVNjDJqPR7fF4NiMKHVSlaK5sUS/O6a920MLj7HxCf3OHyeN9Vi9fZ5Fm1JVBWda4roesLWzXpA4cLATZOKW1sYOpHYqHt/Ail6y7ydYLnyBbahxLk6gQQYjbFDQ9we23vsK13aucnE24+eq/Q6Eq1q48h4pT7oomrnsJ4ShKQzBbFgS+wg6aPProbeT8kLJecLR/iBd2IdMMuy5uw8Iyo4vDrFaLTr9DMLzK+PFdZHaHyO9iCBNvDpt2RTY5Rmmbg73bYDlYbkC+OMUxcjzPIZ8tGVy+SpqXdC/fIEkq1p455vKNaww6q5x++2t87OWfo7WyjS4TnNYqrbVNlqMjhpuX0UXK8uEHOKbg7PyI5dk+28+9gsDEtzzy+Qitfar5DKcZUSkBpoFlSNqdVVRdcHznAZqMejkiaLYh1zQ7IW4Qoqucsq6gSpkdPyJohEhlYQYB+ekZukh46pOfJxjcZ//udzl6/21a21d4fOchplGh7j8mbHj0VjcpioLaMKlqhQwi6gpMWVIjGY0muO0BoztvMpnNuP6pP813/6dfo72+Q9RqU9c1ftRgdvyI5fgI1egRddaoqhi772OnOQUmWmiyKkeZYAgJQmFKB03N9PQe1eKE1uprJHFK0FmhmB8gZYN4doZtuRRVeZFPba8xL/awZHZRYrdxk2wypRIJYXONIp5CXdMZ9KkoeeM3/ha7L/0oTdKL0qU8xetvUsRzLM9gefKISpUgTd7+7X/Iv/qXf5nxb/8WrZU1OltPsbz9XVav3GR1dR3JmLrpc37vNpG3g6gydDohqw38XotyMUaUGffe/AoIFzVf4Lc73P/gH/Pijb+C9fE/S3cwZPToPcpZSue1z1CmCcpcYfzgQ9LphOc+8ePsHexj2TZVPKISPp/6sX8TbWrSrEAaNXVdMz0+pdEdoL0NLMvBQiOsEG053PiRn6SaTqjiKXk+A2FjGD5SlKxv7JJ2WyxmSxbxkn7UxRGERBQAACAASURBVPWatLsD6s4q4uh7uKZFXZQ0+hHakES+xrVcsqrifFH9USHtn8S3C++/7wuAPw/8uNb6F570/xzwGvDzwKrWuhZCvAZ8QWv9Y0KILz9pf/NJ6uAEGOjv86Dnr+3oX/0Pf55seYSBphUFWEGEsBuc7e/RG65y583fYXD1NcKz28waKwRhE9cDp9VExhmG42G6HuXxA4qqxGl3yeY57e1LUEE2P8PrrVBmF1+gUCZVNUdXJYapsbw2SoHjBUwfvY+2Q9Y22jh2QD3e43ga01y/TlbkuF6TspbISuE1HHRdUWUaWU1Znu2zsbaGxKXSmkavRRg1+Oa332NztcO904zrqxGLCsrpGU2jQhgRNRfK8VdffJ2DRw/o9tqUsxHT44fMsimmP2C4dY3FbIIXBli1YLr3HmVlc+3FpyEr8JoRy+kYK2gj3DayqgnabZLRQ2yhydIcxw1xbJvzszFR08f1AsxGH8dxqJIReWmC6zDYeoo4mVMvplR5wsPv/SbrvcsMt4ac373PTGmSZEkaF2hyVLXPjdf/XebjEaYTYhsSN2yg8gQ3aIKusLwQEAilWUyP8W0PZWj8wEbjkeclymoySyTr9pw6PsGM1ogXC5RMcOyQSx9/jek8oSgKxPQxi8mU4OrLFEmMLaCuCtLFgsHGJUbnhzhCsJyPMeyAMAyxLBOzNcBC8/jwiPVuE0/MyQuJJsBpdMmTBYOdXZBQ6oLF/h5ZMsdrRBjCJlrtkUynaEwMw6KqcmzbwQ8jiqLg6I2/T6O/QmPtGUS8x3SW0rvyEoZwwHHIFhmq1gjDwrZdal0iqwzf98nH+wxvfBxdZdRZjJSS87371MJgcnqIjs8ZrO5QS01gg5QJWC5+a41oMKSeLHGGW8h0RlVVFHmM4UQ8/ZmfIhkvONm7h22ViHRGXYAbtUDVlFly4Vab5DR6bZzA5+j+LYhP8XpXCRo+2XKO7QZUhsJv9KnygtoOKJYJrc3rRFHIyaP7qFJhBR7J/rfI5ucgoTYcUkJazS69lSFa5VhBA9M0yebn1HWN5TapswypBKaMeeHTP8tscsT5eY3d8qnTI3r9bUZ3vkuZ1TjNDgePP2J+/2v89F/6HwlbXcbjKfv3PqDR3wLtYIgKA42UCqk1gVkzGz1mfn6O7/gIUWFjki4mfOYX/+6bWuuP/8sA1h8kx7oHvCqECJ7kSj8H3AK+Cvzckzl/HvjfnrT/0ZM+T8Z/5/uBKkBVFphewGCwQ+RbmF4b2+9jCcXaVofzsznB8FnyJObY6mIabWphES8LyuUSsgXpyR30fITERIXbZHVEa3UHQU2WztHSwX7CQtJFhmnnmCLBNipcv0tdlTheg5oSszXA8WzyHNAFcxnSXNmkOdylv34NLwixqUmSOYvJjDiOKUn53t0H7FU2mQleu0nUjshzwfnRCbt9D+qcHSOlO1xje6XHZifA6bYwIwtdJ/S2nmU0nuJ4IVSaymvRHGzR7u4Q9q9w9/4J54eHOE6T3u4OzfXrbK61MaoSLAvKChG2kH4Xp91Duw7p5Jxa5SxnUwaXrpCWNbW/QnPrGtoJ2XzmY7Q2tglWdpB2F7wQ27Cp6xrbMNG2jeH6XH3uJ0mNNocjQfPaqwhxoQjV7G8ic831V/8tLBtajTadqEHUXiOZL7Cj6AJUDdBFjKgVWCa+26NGoYuKZBRjGxq/2cWwPYSusbIlbthEU2KJElFfkBUO9/aYnB5RH95H5wu0aVDMx4iqIs8S8kJi2AHKdYh8/0Kdyeui8yXD3TV2b9wk9HwKrel0uig0VWExm8zJpUZS4bghVSVxQh9L1zR6HWoFy8U5+XKMZZg4jQATcUEvtR20MknKHCsICC59hmlisX//IbN5Rn94hYe37lIXILw2XruP3x2g7DbaMxG2TxANqEvN8uyMdHKOzCXxwT3mZ4/x3TajeUG/v8OV536Y1to12iuXMb0IQ/j01l7Cb6yxOB5TYpEcH4Btky9PyZOU5dEJ8emYQb/Nsz/zM6T796jKEmmB0hlZNiZYGRK0WggTLM/FsDRRZ8Cy9FGGTTKbEPZWybM5jueSxnPG+3dBaSwTktkZ8/kcLJtS5QhZ4/hd+pc+hb/9HNde+zwCi9ligs4y4tNDOsMNvFafcPUyUWuAWUssUxP6BpPHb9O9vEa306cVZUwP3uH+m28yfvwG977xJeyoiahy2p0VjP6L3Hrjm3z43tucHjzEi1poZWLqGoTE8XyCsI/tWEjDIfID1je3WJx/iJOf0xr0WL/5LwVP/+/4Q1MBWutvCyF+HXgLqIG3gb8JfAn4u0KIv/rk2t9+csvfBv4HIcQ9YMJFBcH3D2HihX1M00HMziCrKRmDLKmkwrRqNvot5oviiTjzjNHSxxCa7HjM2mobUbgUacE0VphdRbwoaa5u8O433oD6EVevfwxT1ygLHMeiWEgwAqTlIosKDAtZpCArGo0hZtjg8Z1vcnnnMr4DFhVho8X87CP83ibJ/Iiw4ROnimbUxsjPeGl3eCH/l6fY6x2qLCZstliejAhbbQ72H7N17SnSeIGn4gtTwrzAlDXDpz6BMkykcBkdHhGPH9Me9tGmw9mkwNcx/W6ASNcoZglnsxFhq8nkJEFPD5gWBv32JiJsUecFsjzGsX2C3gazsxLhCaplitdaw7INDLNJkmS8/51voAkQrqAzWMU2XKQLRVXSjPqUSlEbJtpMuP7q6+x/730IXC698mn8u30OH32EcgqaUYcsm2KYEtNtUdclUbODUprhYI0yWZCkM8q6QktFiYXGxwsMHM9Go+gMNynO50TsIxttsslD/O42bqtLOFhD2DamrsnjMZXQFFJgOB7UEiUrsBy0CaZpks9jTFESNkyqqsbWmiAIwPKx/Rx/OaOWCgyTyeQi92nJDGQTw/PJpvt4Zofz+7fIlgXKMDBNgayXSNMiaq+wICGtJIYbopIU1/SoZcnAnVCFbZpRh2R8wHQ8odVeJVrbIJ4u2Ln69EVJl9zHVYLaNlG1xLB9zLBJXRZIKcmyGZg+83jJRjMgantorTFFht/p4O1cYXn0GKvfwTablFJBHmNqj2K6QGQOzQZUnmJ69D6ndxbYtktr9zqe3yaNx9RFieWGMFtw/u6bdG5coZqeM80U40fvMbz2MjJbYNk2J4cj7GCDW1//TTauPsPo7AxrUIBh0HQc8uUUx4swyclmZ1QS0qygGbY4fLzPytVnMaRGyXMMA/LlBNOLcLyQUqa0B2tkoxN8S5APd/jg//wiveuvM5stiFyfwYvP4kYRT33uZ0hGjxFKEMcJ7ZVt2isbWI2IOE2QUuO5EmFbpGVJvlCEocK2PIpygakK4vNjfDukynLO73yHyUz+CwHoPyt+IAcBrfUvAr/4/7j8AHjlnzI35yJN8AOHqjKs0CafLKhNmyC6KJlAK04nc5JUEi9S1nZ2+M5vfJmtFz6FJRRVYbDEgJMZ3Y7LwdmE/vYVZFmzsrbK2fEpqkypk5x4kWAYBpblIESF47uUeBh1gSFAmRZlNmE2OWTlqdexZYyVp+y/8zV2d5+myBYcv/1bVLomOPsIPV6w8dynmU9OWUwf0ui2UfpCjHtapmRZgpYCI5c4uASNiN2d68japBo/JC9yLK91YU9Nyumj97j+2k9yenDKbHrO+dmCQV3R6u7y6k9+nsnBmLOzM5bMudpzwLbJxmM6nonTuoaUBk7DxrYbFEpgYGMYBmVdoQAlYVoIOoML3n8tFX4jpN1vMjk7w1Qw2XuA1x/iWX20lizjMbYGw2qxPDvE2zZorK5SK4kWJp31FfIy5enoWYrzPZJkzvDGx1DSwukG1EmOSc78ZJ8km7B67SWWlUE+nmM0XOrcpKpinFphd1bQxQyWR9heSG1aWO4KOjdIx4e0tzcvNAK0oEoX+GFImeZoz6bd6pJmMdoMcXIozAofBVpR1ZL++irnqqZSJnmaUBc1VmuTwEmI9z7ArDOU2wDDoipLvFaHj954h9V+j9oVKNfC0SaO41CrCsswKUrFYGWTk4Pb1HGB5QZUy5Ra5uRFSCsSeIGHYW6wWB6wfu1FRJ1g64zjx7coyxJLV5RpQmVCHSdgeXj9LabHp/ihh+33mU0e0wiaBM0I23UoigLbi8iSAmGMsIs5rbFFxjFieY6WAQjB8myELwy0rfGaA84fP6K7so6SGelygtMa0h5e5KHH7/8OJ5MJve1taqVotPrYTU1/5ycI2pucHZ+QLSZE/Q6WG/C0/3nGx3cRdUEYBYiipsrnOMJCZzOUBtsKEHWOFzgc3/sOQX8HVU9QfhtBSLDRZnL4kPWrz1KUMwwE1fwQx4b54SOGwyFlKvnwD74KNnRbPaQtuH/3mNA1Wbn8IlmVI0aHaLeLNGooc3zPBnwW83Msv4Vh1LiWhZIlZV0iZI2QMZGlMVDosIXUNR3v+6dE/3nj/xfMq7/xy//ZF/7kJQNpBQjXw3UE8fyMsNnhnfceUtYWpTJJFiO0ZeIGAzQeQknmyRzsgPF0yXxZMB1NODs7wPFDxh99k7WtNSQ+ZjVi/doz5KWGRhvDDTAMk6pYIkyT8cNbJOM9mtEAw6oR1UVOsN3oMJ+dki3GNH2Pg4NTjvaOWN3e4vTR9xBmSCtwiRNNUlkgLAztI50GRZyQpPkF0M2PkOUcmeeUSmP7EWleIkwHJTVea53ZdMJyMWF14wrNdgPPcun0h4yOZyR5TlnWlHZIV55ioajTJbk2MKMOQdTECSMQFrbjgqUQQlIlS0qlkUVO1F0FJTHtAEMLlouYs9MTQi8ibAb47RYoA8cxSGdztCoIu6sIq8SxApA5VZFRlQon6DC9f4sw9MGwGexeB8PHbfbAEJiAadlkkzFptkDVJTde+yzzeUKtLLQAVylkleI5Bvkyxg06OGGDUios14KqwLAc/O4KjdU+7eEayXJCMj1hdPoIKSSb1z6G2WohM41+og4lDIEnKmpdYGCjtCAMW2SzE7JljCxSrFbA5OFHfPj1f4zfHDJY3UbVBbrKyecTXL+BE3XJ8hyZLzFdG1MYIAuyOKa1usF8MiI+PUFxsdtxQhcpS6RhEQQBlhdQViWnj26TxtBotrACj3QxQyCp8pJaaeqswDagKCpsx2NtawAohN+gHfWQleLo8AhbKbyoSZpf7LyN+YT0g68ROi4WiqQS2FzIXRrKIoxayCrH8aCSNlWWYokS0/PxvAuNCVVmHNy7zerlG2g3otEIqKslaZ5Tao95WmM6HpqLSg3T8LEaTTrdLo3OGsvxIa3VdcJOE6XVxYGhVES9Pun0lO7uZRr9ywTtCNdxca0W9mCd6VlCs7/B7MF3ST96A6/VYzGZ0lm7jGH5eM02XnuIYZt47QG1FhwdH1CVYLgOBhZ73/suk+kB2fiQ9adeRNjuEyffCsN0kYaB59hk6RjTUFTVAib7rOw8w+TgLkrVTNMaI1ghTeb8nd+9/ceL0vo3/utf+sLPvnoTy3ZQssJQUKcJhtXAbwaEYYuo7V1Q4myFY0XYng9UxInEcQWOH+AYAWcnJ5RFhWlCb2UXw0gYrl1GK5M40xfOlX4D0wmwHVg8egszXuB3u2DUDLevkU2W5HWFg4HbDCiwMPCo6yXt7ibbl3bJ4gKv0QTTITW6pJVACI/K8tGOhxA2RsODCpSo8PSc80XBYpnzla98nWdf+gTO2jMUposdRlQ4aKOB6beIcxPHEAyGDaJmD237KG2jbAvDCMkI2Vx1OJkuaW1dp791Gcc0iZMMrWo0NWFzgFrMsPMFSgsW8xHD3etgOHhBC9trsDy7S13XmI6DH/VQSpPXGmHYNIwYp7NCmU5pR31WtnZY3dmiUtYFhTidkk2OSNILixUzNGn2BlRlRlGaICBdzDGpKWWBzlI6q1eJ0zlSgVIKlU5ZHN2mO1gDNH67Rac1RBoGeTzD6TQRrn2xCMyWmJ6LITRO2CRNBUIVfOxf/wVUVpOUGilAVyXEI65e3yXNCjAsVF1iVCV5lpAdP75YkCYxMknIqphXf+rnSfLqwr4GG9MFW0hKKTGFQY0m8BqYho+WOY6wSJdz0skUx/YunFQridISqgrbMImGayymYyopWNm9Qh0v8cImOgypxlNM16EuNEVZIqoaZdvIusY2DYTpYkhJfHwH7djUlUVvuMrhwTmtlau0VlYxXYsiXeJUJoWQnC/nLPMlg40rRM2IPJljOx5JNiFNEvrXnwJVoecngEbbFqapQXKxKFqCdHqG3+iST6Y0t57FMB2EaaOVffEZCoHp+hdSfpUkDF0cx8VvRcgspo4XyCLHtgXJ+TmOo9CWjS4TTJnhBH3MZotme5NnP/9zJKd7mEGECDy01CznMxbHp5ydnhE0Q4rpfUx3gOH7pIslxSJHCXCFSU5No7fOcrSH3+0yPhixfe0FHNtGCAsviOi320hVkyclrn0hNWkUCxaTUyzXJTVXCDyHaPMqSJP/9st/zKxZfuW//Otf+LM//Tmq8R5+5LPMK3RtMFtMMN0Av7uBkJKo1URXGWGrT57nOEELwzQuwMRwMS2NMKG5uY2moFguUIYgKwTLosTyHEqlaDT6FDpBCJfpOMPAxC2XhK5LLQzsaBtZxMwWMz76aI/lNMZtd+hvXcMLTCpdXMiOmQ6FLClqjcBBmAJDCKq6wrVKZK0RjodVW9i2Sa8z5PGt3+XVz/4Z7FbnwhlWVZhORJHOMRyX2mxhmRJdTlhZ36YuEypt4KBRQiPrFKRClQmYIdHqEJ2nzBc5sq5AZqiyIi8SqsWExXhGo9vCNiW+D04Q8ujuPeaH99DaJgg8XN/DaXWxQhfXg+WyxPBCZLZE1fJix6MVrXaXohTEiyVlOiVZLCnygmarRRB4xOcPUUlGZfroukDWBcIAu65JywK34UFRkiYJtq4o4xOUrrlw5RBYRklapEwPvkd74zqB6xI4grzM6a3tEC8XLEanuI6NYVSYwsZvDMjmI5IsRZUlFBPOHn0HYVuYfgtZS/IkRiYL8vkJJw/vMRyu4AQeXrNBEhdsXN6lSJbUWY7pWLiRDzWossZ3HTxL41oWpm/j+z6WMKkwcQwDyYWViGUZoBQCdeEAUcd0Vi5RGDamUqgqp8qW1KNztJaYtk8w3MYRNUJohAGh52Bok6DlYdkXpBmZV2gESbbk5iuvs/Ox1ymXp0z+L+7eJFa29TzPe/5m9dXXrt2dffrmdry8viJF0aQky5BFKFIiOzAgwEgAZ5JkFATIKMiIoyBOIiFS7GQQOAGCwJITI5HVWXJM0RYlSpQodrdvzjn3nLP7XX3V6v8mg01kFMRBwIHAAmqwJlWDKrzrW9//vu/z7AO8VbSzc7auwHjH7q3XMdbTCEXv1k0KadG9CW3jWZ1/ghQaXZ5jwh1oF/jGIOKA5x98m/NPzokTxfZiijEV4eQeLuigghgpJVW5QYYhOghJ4w4yUCAFrtyQVRWJj5EO/Kpk58FDtlXD87f+DFNv+cr/8fsM93a4/cYXEVKz3awoppcsL17gnSMNDEooRvuHtHXF4aMfoVgtyWeX6NE+0nqKMqduWuIgQOrrYiAhA7xI+eBP/zn1+oLbn/oMjZcEQYqnwbQ5+OswiDBrqosXeFMR9vepS0ewd5PSKlzTIAPHP/ztr/9wUVpBUFcrVJYhtSYwFd2DA5rTF4Q6YHXyHnXZ0MYttimps4bOoIe0EckkpSq3KFNiVYyQIU4Yzk6nHB4eMhwMsS4k6nZRDmSgydsN0xfnjPd22b/7iOl7X2cor2gLga49gzfukR9PSQNJYBpe/+IbPP3oQ959e8bNhw9JhGZjE64+eZ/l6oKdWy+TDe6jRYppS0Jq2rIh7uwQJiGnp48Z3D3g8Vt/yuHDzyNUA02DSgxBKPCuRguNqBsC9wQdSlarKauTCOdbvAMnE9xqw+njD3ntwYi0e4uL+QXbxRpfW4yL2blxiI5TzPaC1fkzhIew18G6hiiK2F6umX50QahivA7Idm4goiGrsmJ2VvBgHzZXZ9hFyeIsx4qG/s4e+uAOvc6AxWxFXVY4W3L17B0Gg5v0egN00FKsZhQXM2Rb43dqnNAkvRGdbIyVhqx7B7e9Io4y0nrOpsgJlSAZ7WN9SJgK1rMN+fRDZGC4/PjbxJ3sujREOJb5nHx2hveeygpa64jTjLN3/4hub0yUb3A1bDdTJoMdjj94j53JCt3ZxeYOE3RBluzf/TTWZtSbOWEY8rmf+DxJmKGap1hr2bt7m2q+QPYiZD8h2jwnSDPKIMVVBUJKaA0ySrC00F4/+mokdV0RhIJ4MKDYNKjgil7aoZw3dNIexjQ4rqvtYg3t6XcRMqSbhTT0sHmJjBSbxZp+aKmffUiwe5PL2QWxEGxXM/z3fo+zxx+gSSB3iMFtOtpQ+jUqtLRbSzKIsbYh0QlOeS7L8hrTIqCOJ2S+wCwbTp9f0hv0ccaQJD1UOCFgxuxsxtg5pDZUVUVVlNcNcCpASk3V1OyMeqxPLmne/nOKnfuEWQ2dEaKdsX3v22znV5w/fc7hq5/jb/3dN9jOl2zWVyyujpnsv8Ti9B2iOEQ4xXpWsLk65cbDz1KoDBYXeCRh9xbbyjAaD4nrChqH8x6hQqRpQId0949w3TsUO/f56h/+Cc/f/nO+9KWfpWjXDIXHekFbztm7sYttWny9pgxTdl/6cebzK4I4olxsiJL4B6pofynQLN47mnxDkHV4/52PWHnJbJPT270LpmVnlJF0U4KwByJme/4hSayIUkFdzdhcPkanGVESEmqHaTd0R7tcLec0LiDspNeJlyQlTgecPzmhcjBbFNRtQzYYM58vsa3D25r1k7cY9VJu7N/l7puf4g9+8/f4xte/y4NX7hGnGXXecP7sAwpimrbL8dvvsp09ZXn6Nv1+QJJmKCfodvsoU7HXzbj45DlbI1BJQr3OWc/OmD9+l+r0GJMvcMIgxRbt7fVBkfKo7gARdrDOYaoZISuOkhWuksxXlwgLzWaLcTC6OaQtVhzs71Ktl9AYxGCM6A5pqpZys8HrFBnG2FDRm0wIlSTuBuz1A7JAUcynqCCi2+8w3D0iiXqUyy1Xp0/w3rFer9ksnnP15D0++POvMb55SNztcvr8hIuTC5LRHn7ngMd/8rtMjz/AW1BRjJUhRkqaSrBaV6ggZtQdIlREmPXRkSYKe2R7t9l9+CrOeCIFTVFiTYVtHfVijScGJ6nmC2LT4PDIBjSWKI5x+Yxxr8PkxgEPXv0MyeiApijRWYxWgiDS2PU5tbnCt0tsteLskzPwFZ2Dm2CWyMajdActNMq2+LBL5SW+bjG1pjYRTdRDEF6LjrEkkcArgQoFURSwuTzhpc+8iTAlq4tPrlu++n2UlijvkbbAOVBBgpKatjbXFr69Q6LBPt5JchNisoQi3xIoEHHM4vgtjt//Dq28i0sHtHJJmkR0+nvI2rA4eQJpSrXNGd98hb3bt3n5x7/A/p07GFtCuUZ6qGtBWRiSQOKjhCDVJJ0+zWZKsSnYefkNaluiZYA3FmEabLtCSknbGmhzvDfM/vi3aQ9eYp6mbK3Drk/x9QWryzNiLfnRn/07hEi8rNm5s8Py2Se41Ya6KVicPcXnOfninE7YpZ+NsXVD5AXttsFZBUkPV7ccf/ABQmqkUugwwQcBRgeUZU6+LiAAZS7wXnBw8zbGWrpBl5UJqIKMwa2XcTomUpBPP2L24RN0FCBUSBj3IY5pjPuBatpfionVe0DFrE7OIRzStIYsVQTa4ykJ4w4jGeKEIAgCNs8XtA1874//GaO9O/R3b3+/0CHFC4+ua4adAR+evc3B0c+w3m7odgfY5Yai2pCEIeVmSyM1URCwWH7MYn5JMoZmXbHMLxgfPOLsyXdZLTc8vDPmp/7m3yJNIs4+/hApHIf3HrHeFOwf3Ofj996ik0jqbUmSRkgXoCc7tKJFtAKtoJcFUHaw1QYhBdZDGKWIZIRQER2xQuqEQDhsnV4XsLRratciQ1hfHFNTY7IRrXKEQuMoaXzIzuEhrQ/QWcDTp09wSZ8k3qFpliitkXGKURIfpcg8Z3L/FvXKgPA4WyHqnLS9ohU1SXeIlTGr8ydIKensjME7fvNX/xPSxJP17zHce8Brn/4Jjr/5h+w+/BRRNmann6CSiH5nyPmTxxhnWV49Zzk7pd/p401NFDqMiAhHh5h6TSwV3loC0dCscjpHXdrSsHf3DYpyRugDFk/PyPaHqHjnOq2Vl+ikw3a6IEk6FFXD5rxguHdIqNbYdcnxxTMOXvoszboGHLacY8OEqloxff42ezfvkvVSjj77Mzx5/xNOnk1pNx8TBpooCTl69Hk+/O4fsVlfYfOSrHxBePiQqBvjHHilMHVDGqWIOARXIVwLVuBVSDrc49m3/xgZRthiiw9CdJETZn1MuUF4B7ZAZRH1eokMQqxooHTI8S5u08P5gma7Ad0yyAaUvmabOxp/m34/IL/4LjoQzLfvIsoI50uGvdv0hwMWp0+ZXnxCOZ1Sf/c7ROMx9x69xPmTj3Aqwnc65JtLhuObtDoi9g3zzYxAaYa3HvLqm29S1HB+cUKaDnE4mk0FSYhfXXHy9tfxN+8z/ol/B5VErK6mbLdbaq9hOSfdP2Rezuh3E6aXV9RNQ5u37L78WQSGj772G/Qmt6jmM7SsqeKE8aPPUNUW1dRImWBwvP/uN2imT2lszEvyr10nCbMA7RzJcIDJV1xMF3T7A04+nvGzbx6yOCtQTc7Rj/01zj96BxFItnlDsVhiqpJk//Ok0Q6b9RaJhVgz2t+nWtU/UE37S7Fj/Qe/8l9/+Rc+f59KZOzu30CWa1S1Rdg1dVPT3buHsZbZakW7maJ8Q5CM0HGPTqeP316wns14cXXKN3739zi5uEAJTWMjzp99m09/9ovU7QapFVG/g5eSZV4yGXQRXNs0+pN95sfvkQQwuvkKk1c+S2f/kM74Fv3JTWZnH9O9YtLNZgAAIABJREFU8RLF8oRuf4RtDVkcsTNQvPzoERhQieLNn/kFmtPnJLv7XDx9wWqzwsmIoD/GNA3xYEg8fkjSGePkdbtVqDTWy+vdm4xoCksgG7abKR/98W/QH9+hWD3H+A7p8Igg6SIQBGHC4aPXMI2h3myQoSaSAVHaw0uBayAIUxrX4KwgCGLCtE9RQnfQoTINoWkxxYLINag0wluFCjSIAFctCJ0l6mRU01OCqMPBwT0cmuHREbRbnPNkUYhUIa3UtLMXjMYTAquusS+dAVenHzIcTeiNDym3M5pyizQVNGvqusKZGuMbmotTXFuRFzl13RD1uvQOjxAiRCpHW5VI7/B4atuC04wfvYZ03w8ghBHW1pTrGdsi585nv8h2sYCmItWC7WyBGt3FeIsOB/RvvIZdLYgmN7CVIjx8haYReCxRv8v6+Qs6YYwuniK7hwhCvFa0ZUmVrxjfPCTqJNSbGu8k0hsmD1/FlS2YhvVyStQZEAchD17/Islol/nFBXW+RmrL7YdvUjuDkgFhGONoEMYSxQHbD/8AKRxStUxzS1kp2lYgZMxq+hgtcrSZoaMWrQVR0kOHGY/ff+v6iSlVxN2AIMugbZkutoyHe8Tj/vUAECQUtiHw9fXBH5rhzpidg32CbMBqukAHITIQCFsihKFeTqmnV6Rpymf+w/8Mu7jCest2Nb/O6WtJdu91/PFjGpmTDA7ZbDZ004gwS5DSUq7PkMJRFQ3LvCRKQ1RdU60u0YMB5XRGg6SpSsb7t+n0bxIFksOHLxNpSRwkyECAhSQLoSoZ9BJefe0lkskNQq1QYchoOMAKh29qwrSLsBuq6QW6M+KzP//vUmxyAhXS6w1BJZTW8g//t9/84duxYgxhnFDma5LJTUy+ofFrdHeH0+cviDsZRZ5zc/cOMpLYumBmJBfH3+PTf/1LVLlFzte88h99nnyz4Pd//R/xhS98jtv3XuYf/8//E7fv7vLg7j10NkZHITv9jNV2wdWLJ+xmEd3uhPD1L3H6/Lsc2oh3v/GHDHojfNxl/vxddh6+SjN9RlUbZpcfgbe4cEi2Uoz6Fd2wQFea977yv7Ndb/CzFa0x6NrgwxBb18RHN9H2+7VorccrjVQRStRE2Yj1ckkoQwaHQzCexelj9u+8Qr54hpYxw9ufZrstkEIjA8nwxgRrLd3+GBkK6rJCdlPCoINpWmQWIoUmNBFNmzPYO8DKkHxT0G7XiCBGhZJiVmPI0RWEvZTi7JLF9IQohsGdB2wXW6rSkg5jitWcnTd/EttcHxjWqxVyfEjgDaot8ETsPXqd/VcVy9kpn/zpv2R7foK/+4iqWNHpTSin5xRmxWY55+Fnv8Ty/IIos6hJ93ovXFzjcmxVIVMBtgUVo6sCH0dgLZgapWKa2QnpYERTt0hfoEOB1B1oLe/+zv9C5+Au07Nn3Lr5kP29m9gw4/GT73D7zkvIqIfvd0E0ZDfuIbMOvi6ZXV2wM+4xeek16uN3iWzJtliyrpfUmy0+TBjefYXO7gPO/uy38GFMUwtUveT4W19Dd0d4C4lMkM6Q9cZ4UbI4fk4QGvTOkHqzYZsvCBQ0VUFTGoTuomKJvnqXIGjxMqF2HUw6omxSctdS5jlxekQrU4ZJS7r+Fo4pTpdslzVpnOCtw5UbQBGKLrVWZN2UoliTRLto3VCLGiFjCCKSUJIpS9pJOX3/27x49x0Gr74JmzW2LNBpShhCmnZZuBJtAkSyR39vh8sPPsSIAJkJjG3Jt2vErftkNqeqHYOsjxKWdn7OulohhMd5xXy7xtkAoWLa+SV2fAu5XOCDCFtXiKiPVpJg2OfOvR+jrNboKMXHMaoq8U2NFDGdwRBXBhgvsMWSpJsSRRmXL56R9FIa0SK1oKoLtsUKc/6cKE249+g+i8WGncNDVtM5s6uzH6ii/aWYWH/1l/7el//tn/yreCFAaYrlEodAyhjvJTLaQQcpV3/xR6TDIYF0CBUSpSn93X22jx8T37rD6vKCi+dv88Gf/DF3H91nNJmQDHv0wwDpQiKlMMcfEQpDbzimG1r2Akt30KdaneLTXY7e+OsIV9M2JfFwgtaa85NjhHNcvnhCma8xtiI0Bbv3XyYwW0xjET6n1aPr9UXYwVqNkorWljjrMUAgr+mtZd5SG0OsA4SytFYi4whTNlxeXZAmETQ5xx99m93DA7wHme3QO7iLcxLbtngPWRbhRYBpSqQF7yzWCmpbYZzFtA6BpSm2BEmP8f5tqrIhiEK8ChFYvAKXzxFty2R/gHER4TCj182wiyV4S9wf0lWSzuEjol6H/uQOTgbYyhB1NNVqhvMeYx33fuTHGQ8nFEXNarMlHR8yOrxH4PJrcqrxxN0O+UZxenJOGEqUqwh7+8iogw5DnG3IEnCmZTga8vDHfoqnb72DahqEDDBNQ7VekvYyBof7REkHBOg4QzQ5cdShqSvqsuLem/8Wmd0QhBnQsp5dEGrN7OSK3t6YuNsn0QFVVVNcPCVNQvLzx8xPHiONw+MYjGI+PlmymV0gogSV9el1Uwgz7PwFKEnrQryICPoD2rwliCJq5yiWlyTDPmWxoSwM0eAA05ZI4VhPZ7z9L36NpmlxLqQ73iUQkub8W9TNiivxkAu7w7oRNCKmaR1R2icIQtJuhk4n+PFLyNVjgrCL0AOEjGnqGVmkEGEEaYeqrgg6h7TG44oFblsQRh1UmqKlRKQxynvK1RYXxLTFmvnjx5w8+XNmT98CldDmFbuHNzm6+xrzy0vC0LA6X9C0LcpZ2s2KWIa0tIimojsYsFkvyG4covq7RKM+lCuMkmhrKeuCusgxdkNVlWSjm9x+8yfxaRdbNIAljgX9SY+kP6Ct1kjVwQuQMsC1Nc7VhFnK5PAQqHDeMT66Q1EVRKkicjV4iWtbim1OXRV0xoeYak2ajfBSEmUBzx4/5vn3vsqvf/W7P1x2q//uV375y7/4c1/A+QZhBVmkQCnCKMG3hjDWyCwj7cSI73cuViYmjDWRDuge7EK1oRNYJpM9hvv73L13E60EJ89Osc7T6WSUxhBPHtGbTJC6pVqXlE2DqRXDB6+zma3IC8PVYgvJiNrGrFY53ckem80WYytGt+4y/eQZTVvRHd8gSgfoUCODHXpHR1w+/hDf2aesPbVtqNZzjDNI1zDeu4XUHVSgCFSAExotHK4swZYYWyBMw2pd40QEKsb7gt7RpxC6S6tT6tUCoTWBEtT5ljgb0LoWoRytbdGhwEswDdf+z/kJbW6p6hwVqetiFGOxpsQ3lvniig/+4p8Ri4owm4COCYME1xSU0+c4qwkSTeIaPI7Lk8fc/8zPcTW7Yn1xShIHVEbggz5ifIP9nRHTixNM4xlN9tisc9Ksi44CbFFjPSgtscWayd4hQmrS8RGOAqks1l2D+uymQHdiJodHnD0/ximBL+eUdUGYZAxGO7TlhuX0hGadY1yLq2uckMQyJOsNyTpDRvdusXr2PYQwrObXJIooibj52R9n+tY3cKKl2ZTU5ZJ2s8TUhtMPvsqmrdkschaXx9dlQKdnJKMj0jSjLTfEUYpOQqTJMabBB128lqTdAVp7hDFI6Tj9+KsU80uO7n0KpTNUFNG0HilSkiSmaT1ROuajf/Fb7D98hSgCqmPa1RO2bkJlNVooVCwJhKPXibh78waiLUC0pEKhpSYe3UGPH6CzLlo2UF0gTUOh9rEmxNUFPuwQJxmta+h0uyidEQhJWxXIyuKUQOMpVnOGhw8oVluWRUXcH9JWLfl6ycO/8QucPHlCszEEnQ5FsUJGIUIoNtNjnGnR3RFNscaYiu7OLQLpcabBOUvy/RKcLE3pdRMCJNZUoDRHD15isVggA01x/jGT/QMk0Osd0OlNMM5A3KfMZ9fI9jCmdQK3PCVJu7BZsDh/gs7G5BdnpMMdLCBDiXMWEfWvr23O8OghDkFVrXn67jd4+nTK73zj7R8uYf0Hv/JLX/7Fn3oTV5eo1iGDEGE9KhnQtiuccwilQEiEkAiVYF1NEgUoWqJORnfvgNV8jmxyBv1r5LD3nratkUJS11vqfI1OBwRxl/VyC9MXmDBjcHiHxTonbxWzxQLvNFGikLIljSKE8iiVoKOExGt6u3sQ92iLGiMj1vMFkS4ol1fUjWF470dQCpRXFJsNt8ZdGmPZGe+Aa665Vln2f5uZjbGUVYkQDsw15C8OWia39gmDEdOTF6SjGzgrEdaQdXo4PEoJ9m7epqoqsC3GWRAhAo3wHqlgenqCRdE20FYNT999i+nZE3Ynh7z38cf8ye/8E0Tj2d3JGB29jkLSeoEwntXJO1hi6rwgmfRYLFbIcMzZ02/R5hUqG9ASIaMUHSbIpmV2eUpnckhjW+azGb2dLlYIlG1RkcI0BoHENC3pqEfW7dAaqHKDll2kd9imxdiWcrliu12Tnx+jJAglieIY4zzSNzhhSZMBXoUEcQ9bbbGtJUsENgg4e/YeO6MhdbliVUF30CMbpKjuDunoBqE0uEZy/Pgv6KYJAoNwnk3R0BlMcFJRb3OWyxmkfQb7dxBNhfUtOh0Sd3cQnR6sp8ggo24VzXpO3O2hkpjV8ydEyYBEKdZXFwxuPcC3LUY0pEkMOmR9foqIOhgF28v3SQLFxfO3WG57dNVz5u0A01R4a1FYjiLNrdsjomrFoBvy8LX7dA5vUzYOpUFIgaw26DjEp4fobBdvPAiDt/W1wKiAqNdFlDleiGt/tw8QzmNXU7RsuDh+jneeyd03oLYoYYmjkA+/+Wc8eO2vMF9uuP/Sp8iXM0xt6A7H+LiLK1ZEUcji+JxoeAPiCNe2tNagRYlrW3TSp5qd0t0Z4bxBCs3ZR9+hN7mBiHuYuiKfzSi3cwa7+7TtdcjEyZh6s8Q3AiklaI1vy+vfTQukEggZYtcFZe1pthuay/dpq5Yqzzmd50Cfp8cvWD77mDBT/MVv/q8Ewz2mi5zf/ZMfson1v/3l//LLP32/gzMep67r/4xrkPYaqaCTa96OEFC1inw7J9MRtm1IUossZ+RXU+587udoNi3WhmSDPsW2AAtKWUxdYE2LEzH7d18h6UQU+RorQYUJVV7g8QSmQCmB1ooojKkNlIXHyZbjJx8SxgHL3JJIi5YVO5NDhuPrybqqGhrvQQuEMfSimki0NMWGyFcknQH1/AQZdym3y+viF2cQcYy1lkALjBO44gqDJJ9eYRwM9iaINKWpW7LxkDDp4KsK2R8xff+bNOsL9HCCjkfUtUZ6Q5KAViHLqxWrzRVHR0eUxQJvan7j136dXrThn/7T36EKegx1A9mYo3uvINKUUIMxNZuTj5gc3Kd3sINvPc9fPGP3pU+R9W5AoBE6RscRGI+zDmMaiPsU8/PvByK6ICPKfIsULfW6QilJ0g+IRzuYaomgxisIkwwfRuwcHmGUwPqYTqeLR6CkpN7mlJsFrTXk+YKQkP7BIVbHoAKc10gZogJJs93StAWtSlmdHxN0++ANZd6wnk+x+TlsF2gkZXmOLXKc2xDolO1mwbKytE3Fdj7FOQNeESVDXF1iRAXlCq0ihJBIIUBLVBSDBS0rdC9jcfyMyd1HpIMJyd5donSILTcEWZfFizPy5ZptsaFuoGlbwk6X3s4d1nmDK2doLSlqQVtVPD6eU23mDKThYGeIL9fEgy5BCEmU0bQSIWqK1YrteopTMa4pcMYi0g5R1ke4FpnEmKLC6+sbXFO2iCijcRqVdGiMJx4fskUxXW0Rccbt1z/D8vKMuqkxQgGC4uJDRLtisHeb7bYk7IxRUZe8bRHtEq0Sok5EunPIYLhPXdQ0x+cYI2mmH1O9eAxtjjp6lWzyCNc2hFmfpqnBByyO32Hv6IhqO+fi5Cnjo5cY7d/Etgbb1jgdYYIImgbKOVqAcxJXrEAF+LRLFDiWFzNOzx6j4xQdDdjdnTBfzFC+Qauai8ffIO7coJExnzyf8dXvvPvDJax//5f+3pd/+lM3CeIOUZiCUgjjMXYLWIRUZP0JdnuFtI4gcCjf4JstgbLQQLK7S9I7IBzt0NYrWq7/OKPDG8yuLsiLGc5arMw4euk+lx+9hwxiNmdvI62mbC2mrLhcbemmCWnaYXJjnyRJEdJRVi23bt8lDFK0hOH+hCjeYXD0GuvTx6hYYUuBkxZTlAhn2U7PcQK6kaB1ik43pbWeZLCHUBJ0yHK5viavxglNWRILh/CKzXLNYrEiTrv4qsC3DSoesnvjJvnqCg8IcX2Ao6Iu9WrF6vRDusMuIEmzBO9b2qqiKiydUUSmBRfHH/PKp9/gwWs/yvHbX+dLX/oZ7r38BlFd0x/0CQKFc6CVIIxHdG7sE8UZ06sZu99/NGs9GOPROqQslgQqAAltW4NzSK/A5LRtRZVfsXn6mAConKdYr1heXiG1IO7uU9sAW6wYjHoU0xdYJ2mXZ9Q6pjUWVUxxPkQGmrjfw4sUbzwiydDSIHRGa8Fagzc5fnVCvb0kLzytddy9f5NyU6JVipMZUWeMkCA81GXFiw++SdPUJIEkL3NOz88oS0822Gc0GOFtTStD4t4Bpt0S+4amLYm1vN71uevsfRSPaLYzAtngEQx2bxCr6Jpl3+2Tdsd4oTC1waoA01bX6b0wJIwCJnt7dHtDsuEYHQww1RmrvMAVNWPtiEOBdiVJLIlVQNiJwK4pC2jtNZVCNQ3etbiyxemQuspp8xJXLCBKEMYi2oru6AjvBVVeUtmGIO5Src4JpMQWC66uVnztK3/Awd6IRBnS/pAkSAHBYHcPlldUtUGmI5ann5AvTyi26+vu1mzA3q3biCjBOouWkqjTp3fzAWXdIL2imX1AG0/o7T4iHe6S9QYszp5QlxuK+RUdLciLOZvZFWmyT6djOX37W9x+9DKr1QZjC0y+Jr84ZtAJaAQEccpmeopGY8ot+WqD9nOK1RXWiWufbtWQhQGj4QAlBF7s0jrDrVdf5+jeQ/7Hf/LbP1zC+qv/1X/+5b/9xdeJogFeepAKJ0BIhWtLgu4AvAGjqKo1OE1vv0+zqdDCIMOQqjKsL4+pipZmMcMRXpccby1Yg3CaKE7Zv3WbZr24zrcHMb7IKapzdJASdnskSZ9+DK0SdEdDEiVIQk+WJpy/eMbRq2+wePwu+3cfgDDc++m/zZOvf4Ucz2Cwy2Y1xdUtbVPS7WR4IlSWkgz28B7CfsazDz7GY9lu1niRUFY5o4M9hAyptiv2Xn1AcXFBqCVxFNM0BUKEhEmMNzmyLdDakYUZdZMj4gyddFmcz+imHbwpWF/NOHvylMH+mEE3JUoigkBTLGcoK3jw+qe5sXcTt/qIKE65/anXadYVSTfBu5rZ46dEaYhA0CqJs5ZAg5XXE2JrHMrVQMh1PZjH41BK4AwYs8XXlunTxzgEQRYQJB1MsyYUjrA3IEkTgiBju9mgWg/GcvDo08xPnyKahrYs8U1JMu4SZn1AMTy4RdiNCcMupjRYkyN0AkAkG7yIsUEfFY+Jkw7NxSnBYAedBgSRRniFCvs0+RodxITdASqOcWJEi8WUDb2jexSrNTduHnF2coKSmiiMcN7R1FuMKdEyQsYBHotocsLugOriMc5LOjt7KBlgY0UiI6IgQCuIh3tY6QnTIVHSp81XaCnoj7tgCtApzrfE6Rgb7dMG+3T6hygZ4PI5gShJO0cku7vYzQwrY0TcY/rJ+7SrS4RSeCFR2mGlQskMgb2mqyoBzQZftvhA0tu5xXqxBK+RWnH+8TdpmoadvZv0Rj3+yo/+VZStMeszsp19mrIkHQwIumNkNyMbT1icPkeFIUGxxG6v6A53COIOTmmS3g5tsaSsa4xoWc8v0VEfqwWb1SW90T4i0LTbM5p8jnKC0DXU9ZYwlNSNIQok/d0b5OsCEXY5f/qEZnPB8ff+iL2jlzF1RUHDcHRA02yIGkPU62GRREHE9OqCbO8eSTShXl+y//ANtvMZtsiZ3H2ZdHdMrAX11TmbT77NP/raD1kJy9//5f/iy3/zRx8i0gzhLa6t0ULgmmsT+6uf+QKb9YL5xQuCKCUbdZCmRMYa2hyiPkKE9HYOCCOHynoI6TAyoa03BIGnv7tPbQW90R5B2xAnfUSaolrH/PIT5osLJruP0IkmSTLaYkmoBcXxJxjVo61KtFtQ5mt6YUK5XZGOh1x+7xto3RB5hfcWEaQIUyOzPpu8ZTE94/GLY7q9EUEQUSym+KTLdjmjKXNEFBHqmCAOUSrDtmvadUEQxddMJRnjW8u9115hOOhRty3eWWpz3TqvkwRvLTrsXD/+YanrEu81/fEu64++xUuf+Rzb6Yx2vaaXBvQHHdLBiNGNuxx/+C5Zr4sUkI2HKCVpijlhGtJsNnQPb7OarWlbgVcxYdLDhwmmapFWIpTEeoOxLUqHxFlE0xSAwM0vCIKWrJPiXcvi7ASNR6cDhnsT2kYgowQpNMvzc7Jhj8X5C7SPkIGFproG7OUtw91dmrZme3VFnW+QEnR/iNYhplritlPCRJOOd0l7Q4S06DDCljOiXh+tQwjTa6/vYIe6rii2a7StCYOU8cP7lPmWzbP3wNVYlWCtvd7TF3NCHeK2l8gowDUelEU5R11usHXL5vI5KgpIRztoHSF1ShiPiHo9RGsoqxKDRKCJkz5NPUeHIWGa4GqLtx7pQLoWC8RRRhLGNE4gYsn27BKlBFk/xfuGuthgLCxOPqQqr/2v6Y2HZKMxaTJAyhAdxVirsFjc8pQoysBL6vkpr37hbzC9OGe+KFGiYPrOb3HxyQc0ZPT2DwiCHiqIaIotWEcUemTYIx1c9wx7Ka4ZXq4h6I9Q0tAUObLTQUtFVWwRKiZKeoyGt9BRSplfkUYaV62pthtcmWOQyLKhtR6hBoRxSNtWZNkYFXfoHRwhsg5Jr0O12uIjhd/OSLKM8b1HrJ8/xTcFQRhSr+coa0n6Q2TaRYcB+Ijxo5cIoiH5usW3Bp/ENHlFmKXYYkGzWNOIgF/7wx/c4dVfGh+rUx7ZbHFlgUtj2rIGs+Hg4RtsV1OsMXQPbhJIiTMV3jlUUdK6lLgzotgUFGWDkDGmnREnGVW+RruGRCq88gxHI2gaZHeCW89xbUEwmXB3+PMUmykyilFK09Y5/Vu32dk94qwOsNaDDtBBF19XiCiiM76BbBrc/Dm9fkoVaiQpTlTIfo+6KOlmHZbnFQfDEZlvsbZFWc/Fi6fE/QOKpkTPVnT7grZu8SogjFLKYoN0LWHUJwxDjj79KkJqTs5PGYyPrvtOHRgEgdeEYQ3O0B/uY7yjrbcEcYRvG6xSxOGQpLekLjfI0lDXMH32lPHDNzi4/5C2vO6iLBfnDCZ70Bi0r4lHQ6Yffo+cFFC41tM/uk+mFViBdS2uKZHOY7juNNiuzLUVTGjK/IIwGSKR1E2XZDzBlc9JD27SeIWxLcPxHlhHEUdst1t0EKJDCW1Ff3dAu85xUlMs5qisi29agjzHmha/nqFsgM462GWOqTw6aMkvX9AsLHQTtIpwzqB1ihYSFUXotEvTGTObzRj3hoQ6Zns5o2YAe68RD3cIbM3xs8fce+k1LqqC5foC6R193UVHHlNuaGxFd3gESYytGpr1kuHuEaIusSiCKKTZVBhj8DJGO5BhwNmTbyKrkoNXP0NdlrRhQVPn2KqCoIMvC0QnpEFifIsjo3/vNczyOdtiQ5XPidIh7eY5oQ5QKETSoRfH5NucT//830VqwXf/z9/CBCXb08cQjqh8nzB0kC84efI2w90hQsDVu7/P4cs/R3e7YO/2S4QygbomiELGN19CixXCGpbzU2w9u14HlS3r6TnZg9epyxpIiFNNfvIJwe1DwnAX6yRVuSUejAi0Jh3tsXr6PayYkOyENOUWVxm8FCAsPhRQlaS9CdY6kjQB4QjDlKapMKYhSnskvRHFcs3q6k/RvsbUIVfHl2jX4uotz06e8CNf+juoNKH0A3yQkNy8SR+PF4KTd/6U8eEA0RacXKzZbi/p79z5gSra/ydhFUL8x8C/Dwjgf/De/zdCiBHwj4E7wCfAL3rvF9/Ht/wK8HNAAfx73vtv/b99vmkb6u05Kt3B2RyfFwgv0TqGLLrmGQUBvinQUmO0oKs1F5uApraQV6jKUbFFZxrvBeXZhwRRRG+ny3ZpSIc3MWcf48KQen2JLDfEh3eotjkeS9Ab450mUJJNGTJ99xMCF6OTAB/GWAKidEyzfJ/O/kOCcEh18S5xfwxJSk978lwhfXGNCA469HduIH1DZ3+XSIacnTwhFRG37twmyYYUraduA5p6Q76tCSJPd2cPY7aspluEUIjaIHTKZn1FpEOqqiDS16kZbaDOVySqJujGVM0G6w2BVvimoFovyBfPKKspvb1b1zcPKbFqg9AhH3z9D1GUdAd7eJ/gfMt81eCCXSI3o24MyzZAJxLRbDEm4ODWbcymwJQNrRDUmzW+ybFGYKzBhz2UXWCoiMZ3WC+eoXdGJAe3qDc5i6liIjWtjTCuYHN1Tl2UBFFMIyWri1PGh12ksZx875uosMvw9j3S8Q2K5SV+PSOIJXm+4s5rbzA+us/X/+BruO0Spye4dkO1NgRZhAjA+wwtI7wOUNazt3+bbb0BsWV/b4xvW1oZkrcK6Suy4S10pNlePkeHES+ePkHaFl/NCYIIbQXxcJ98esLerftIlZDnJdYI0rSDR2ClRnvwdXk95csIAkVja86/868IwoRo5xZSRDhb0u32mZZLpFO4tkVIj6+WaGvpqBBna4pIofYeECmNa9eEYYCvcuLOiKoq6ExGqG4Xl69ZPf0uy6tT7PoEFSRIqdHj+4heByljMIqPv/2vSDu7mKqm0zlABSPi0YjR3hFJ/wbL9QVmtUA4mF/kdIMG7ySBjxFJjG08w8kdXJCirKJdn3FxntPth1y+8x5GvIs1kA4PKMsLlpenpMYTxF1UrHA4iPpEAdh6QRQYah+i4g62MrTWIAKNuzgnGvSwVYvAYDdrOjvyXsvKAAAMu0lEQVR3abYbwv4u3oBXAhleUxcwW/phn+dv/wXVZsPwwRcRIkV6iwnAmZrhrQfs9EuWW0+cSWR0myQI/n+L6P/T619bwiKE+BTXovo54A3g3xRCPAD+U+Ar3vuHwFe+fw3wbwAPv//+D4D//l/3HUpHSKOxyxOa5Qt8OSdOutTNhs3FGa2wOBWgVEA+PeHsO/+SsycfoQXYtmZn/z5yuEOz2SCFhtoTtDVadrH0CMYDNidvkY532b1x6zrv3RsifEM2HBInfcIw5v9q71xjJLmuAvydenZ39XT3dM9737OJY1sBHIOCLSCKeDgmioJAUeQoAicEIQF/gB/Eln/xLwaEAAnhIAIKyIQ8AcsCmQAJElKyeI0T72yc9c4+vDuzO89+TT+q63X5UXec9mLjmc3IPW3qk0Z969zTPeecW3266tZ9qKBDFHbJ513KVY+ImFK5hgp9cpaFlXexrSn622t02+sknQ2c8gRiWIQ4xArylQmI07nrc8fvwJuaJ+5FDEKDQbeNH3RYvXKZ+toKlpnguQlihAy6bfr9Lu3r54k7XXrdEMsu4JYX6HYCEqNAsTxLzisTRAOSoI9pxZhKQRJjhzuEm5eQXg9//Qb+1edpXTzH9OxpVs89x+blZ1FRn3y1xMRklc0bV9Pb+ARmFk/S60WElke33affa6OcAlGUo1xwkJ06O5trqMQh8RPiMMH20llS+XKFOLL0w64iUXcDUyycKMYp2swu/kC6mnx/m5zRoXnlEv0owPJcHLtI8+YKkd8lcVxcw2buxAKdm6uIO0llZhHLzBFsN+g3VvDrdSy3RD8xKFQnESPi6rmzeE6AU8hhS4zp5ciVStjlGSQxcXMlIqVwDCEKmlw881XWLi5hiYURxQwGAbliidp0lcJEkbzrYlsutYVFTp3+QfJFF8vOka+d5Mid76Ywdxpv6hiG4yGYhMogX56lcuQEkZFDkhDbNFEYKKVIVB9/sEnY36Z59dt4joffbOI3Nohb2wy2r1JfX0YiwZn0wCng+z5xYBI0m1SOzHL63fdimjaOIenYbqeE7XpMTc9Snqoy4XmUKsfYurCENRhwZem/2b5yGZXEyE6DziAkVglJZwtlBsz90I9SnTlB7fgi+VqVnJ0uOpMksHn+WQa9VVyviCmku5rWivR6HWqn7sSozJOfmMYPBkyeWMQyXWIzxijWKJfLqCBgZ9BKdzpwChjK5/q559m8vsFWM6btJyhCiGIMIyE2FBL6JLGNNdgmiU1MC7xyBQkGWK5LqTSBk3QpGT2cXgt2mkwszFNeOE5u0iPq95AgIWcJsTWB7Tg0WwMa2+t02jcRI937iihGiUGn43P1pRUunV0iCG1ylo11wOtR7eWK9S7gjFKqByAi/wH8AumW2O/VOp8Fvg58Usv/Wm8g+E0RqYjIvFLqdeeM2a5LdeEOupvL2MUFJhfvYdBoYEYOQbuNa0b4G01CZdJuXiNst9nstjg+f5pifoLG5nUqc3dg5ssMum1Mv4mU0wHkRAFBs0FSyGG6BfydOoadx2+tUZ29E8d0oFDm5s11djYa5PNCr12nu9OgQETbtQh3dpDyDAPTIOf3iKKQqL9GEnq0XrpM9dgsVmEOu5AQhju0tlbpt9tYdoFL55eYP3EMBn1MZbC+WcfxPGJs/E4LPxY6zSZBEFMsldjqdShX5zmyeDQdp+fHRLFgWi7FUo0kTJg7PsPqyhU6rU1EGQSJkDMsqov3oKIBStXotyYRZ4WcVyVfKxDs+AR+SGD1sR0h9hOcXIASl8vnLxLGMX69gWkkKIH6hmJmepbC1DwqMdKHIKai12qhlMIRm9j1MMyEnmsRhwkC2KaDZ/cxlYWdL5Av5Qn7PoMgIo5DTt79TtrLLyEnIrxqjSSeh2SAxDGD+jWKc9N402/DcU3iToJVqhF1Azr1Lu7kDNHAx0wigp02Ny906LZ38KaPgOehsJAkwCkX2d7ewIkMMEJc16Hb6mAO0hXDEtMFq0oQtrHsIhEu3fYOUbePaQiuY6Wz4izBtO8gCAJsgSTqE/YUObeClZvET8oY+Vx6YWDZ5EqzdNdvUDzqkEQmjWYdI/bpba1g6NWZxC1RyDtYCXS7m7ilKYJQEYYxicpj5yKSXIF4EOBUKrTX1rGtAo7j0O+1qG+12Hj5GvGJGRYWjhJHwuziXYRxD7fgYVsOSRhiug5JkjAI2ySWQ2/rZcrHTmAAsR9gzbyNJGjTuXaNWilPFAegwFc+W+e/ASIUpqawjYSdeh2VGOTyE0jQxe9H5HNllJjYOZN4AEn3OvlKniiokOv0aQY+l1dvYBgFknACsULCKKLd61CwhbmjRUxHUP02UvAIrRKSmyKO+thElGqz9Jtg9Hs0ryxhNK5jGw7u7CJ+u4+ZQFhfY3L+OP3GNipUGBhggY3D7LGjdCyD1ee/TuEnZrEKBUxxuHHurL6jLDFRmQbTYdANKC3M3GYKfW32sv31XaQ7sN4P9EmvTs8Cv6iUqmgdARpKqYqIPA18Sin1n7ru34BPKqXO3vK5v0p6RQvwTmDpwLwaDVPA1qiN+D7I7B8t424/jL8P71BKTRzEB+1ll9YXReRx4F+ALvAtIL5FR4nIvnbjUkr9Oelur4jI2YPaz3tUjLsPmf2jZdzth/H3QUTOvrHW3thTx4JS6jNKqR9WSr0HaAAvAesiMq8Nmgc2tPoqcGzo7Ue1LCMjI+P/BXtKrCIyo1+Pk/av/i3wFPCwVnmYtLsALf8lSbkPaP1f/asZGRkZbzX2Oo71yyJSA0LgN5RSTRH5FPAFEfkE8DLwYa37T6RDrZZJh1t9fA+ffyCDckfMuPuQ2T9axt1+GH8fDsz+N3x4lZGRkZGxPw7FZoIZGRkZbyWyxJqRkZFxwIw8sYrIgyJyQUSWReSRN37Hm4+IHBORr4nId0TkvJ7ii4hUReSrInJRv05quYjIn2ifXhCRe0frQYqImCLyvB5rjIicEpEz2s7Pi4ij5a4+Xtb1J0dpt7apIiJfEpHvisiLInL/GMb/t/T5syQinxOR3GFuAxH5SxHZEJGlIdm+Yy4iD2v9iyLy8Gv9rzfZh9/X59ELIvL3IlIZqntU+3BBRN43JN9fnlJKjewPMIFLwCLgAN8G7h6lTa9j5zxwry5PkA43uxv4PeARLX8EeFyX3w/8M+naCveRzlw7DH78NumIjqf18ReAh3T5CeDXdPnXgSd0+SHg84fA9s8Cv6LLDlAZp/gDR4ArQH4o9h87zG0AvAe4F1gaku0r5kAVuKxfJ3V5csQ+PABYuvz4kA936xzkAqd0bjJvJ0+N+mS7H3hm6PhR4NFR2rRHu/8R+BngAjCvZfPABV3+NPCRIf1X9EZo81HSWXM/CTytvwBbQyfYK20BPAPcr8uW1pMR2l7WSUlukY9T/I8A13WCsXQbvO+wtwHpIkvDSWlfMQc+Anx6SP4qvVH4cEvdzwNP6vKr8s9uG9xOnhp1V8DuybbLipYdWvQt2buAM8Cs+t4Y3TVgVpcPo19/BPwOkOjjGtBUSkX6eNjGV+zX9S2tPypOAZvAX+mujL8QEY8xir9SahX4A+AacJM0ps8xPm2wy35jfuja4hZ+mfRKGw7Qh1En1rFCRIrAl4HfVEq1h+tU+lN2KMeuicgHgA2l1HOjtuU2sUhv5/5MKfUu0qnVr+rnOszxB9B9kT9H+iOxAHjAgyM16vvksMf8jRCRx4AIePKgP3vUiXVspr+KiE2aVJ9USn1Fi8dlWu+PAR8UkavA35F2B/wxUBGR3Ukiwza+Yr+uLwPbb6bBt7ACrCilzujjL5Em2nGJP8BPA1eUUptKqRD4Cmm7jEsb7LLfmB/GtkBEPgZ8APio/oGAA/Rh1In1WeDt+smoQ9pJ/9SIbfpfiIgAnwFeVEr94VDVWEzrVUo9qpQ6qpQ6SRrjf1dKfRT4GvAhrXar/bt+fUjrj+zKRCm1BlwXkXdo0U8B32FM4q+5BtwnIgV9Pu36MBZtMMR+Y/4M8ICITOqr9ge0bGSIyIOk3WIfVHo5VM1TwEN6RMYp0jWl/4vbyVNvdmf4a3Qev5/0Kfsl4LFR2/M6Nv446S3PC6Sre31L210jfSB0EfhXoKr1BfhT7dM54EdG7cOQL+/le6MCFvWJswx8EXC1PKePl3X94iGw+x7S5SpfAP6B9AnzWMUf+F3gu6RLZP4N6dPnQ9sGwOdI+4ND0ruGT9xOzEn7MZf138cPgQ/LpH2mu9/lJ4b0H9M+XAB+dki+rzyVTWnNyMjIOGBG3RWQkZGR8ZYjS6wZGRkZB0yWWDMyMjIOmCyxZmRkZBwwWWLNyMjIOGCyxJqRkZFxwGSJNSMjI+OA+R/NsEXYzyd7fQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe4288f1f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "image_path = 'test_image_scorpion.jpg'\n",
    "image = Image.open(image_path)\n",
    "img_tensor = preprocess(image)\n",
    "img_tensor.unsqueeze_(0)\n",
    "\n",
    "normalizer_module = NormalizeIt()\n",
    "\n",
    "logits = model.forward(normalizer_module.forward(Variable(torch.FloatTensor(img_tensor)))).data.numpy()\n",
    "my_label_str = labels.get_label(np.argmax(logits, axis=1)[0])\n",
    "imshow(np.asarray(image))\n",
    "print(\"The class is \", my_label_str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Converted to loss 0.0032453536987304688 in iterations 100\n",
      "Changed class is  crane\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "# Pick second most likely class to fool with\n",
    "index_required = 134#np.argsort(logits)[0][900]\n",
    "the_variable = Variable(torch.FloatTensor(img_tensor))\n",
    "# The loss function\n",
    "criterion = FoolLoss(index_required)\n",
    "just_identity = FoolingNoise()\n",
    "a = list(just_identity.parameters())[0].clone()\n",
    "\n",
    "fig,ax = plt.subplots(1,1)\n",
    "ax.set_xlabel('Iterations')\n",
    "ax.set_ylabel('Loss')\n",
    "ax.set_xlim(0,100)\n",
    "ax.set_ylim(0,1.1)\n",
    "\n",
    "\n",
    "def plot_loss(ax, array):\n",
    "    ax.plot(array,'b')\n",
    "    ax.plot(np.arange(100), np.ones(100)*0.5,'r')\n",
    "    fig.canvas.draw()\n",
    "\n",
    "optimizer = torch.optim.Adam(just_identity.parameters(), lr=0.01)\n",
    "num_iteration = loss_value = 1\n",
    "loss_array=[]\n",
    "while loss_value > 0.0001 and num_iteration < 100:\n",
    "    loss=criterion(model.forward(normalizer_module.forward(just_identity.forward(the_variable))))\n",
    "    optimizer.zero_grad()\n",
    "    loss.backward()\n",
    "    optimizer.step()\n",
    "    loss_value = loss.data[0]\n",
    "#    print(\"Loss\", loss_value)\n",
    "    num_iteration += 1\n",
    "    loss_array.append(loss_value)\n",
    "    plot_loss(ax, loss_array)\n",
    "\n",
    "if loss_value > 0.5:\n",
    "    print(\"Failed to converge\")\n",
    "else:\n",
    "    print(\"Converted to loss\", loss_value, \"in iterations\", num_iteration)\n",
    "\n",
    "required_image = just_identity.noise.data + the_variable.data\n",
    "logits = model.forward(normalizer_module.forward(just_identity.forward(the_variable))).data.numpy()\n",
    "my_label_str = labels.get_label(np.argmax(logits, axis=1)[0])\n",
    "\n",
    "print(\"Changed class is \", my_label_str)\n",
    "\n",
    "mean_r = 0.485\n",
    "mean_g = 0.456\n",
    "mean_b = 0.406\n",
    "\n",
    "std_r = 0.229\n",
    "std_g = 0.456\n",
    "std_b = 0.225\n",
    "\n",
    "\n",
    "back_transform = transforms.Compose([\n",
    "   transforms.ToPILImage()\n",
    "])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fe3a5e23c50>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe3b65e10b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "required_image = just_identity.noise.float().data + the_variable.data\n",
    "required_image[:,0] = required_image[:,0] * std_r + mean_r\n",
    "required_image[:,1] = required_image[:,1] * std_g + mean_g\n",
    "required_image[:,2] = required_image[:,2] * std_b + mean_b\n",
    "img = reshape_back(required_image.numpy())\n",
    "image = back_transform(required_image[0])\n",
    "imshow(np.asarray(image))\n"
   ]
  },
  {
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}