{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "from torchvision import datasets, transforms\n",
    "\n",
    "from utils import mnist, plot_graphs, plot_mnist\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "mnist_transform = transforms.Compose([\n",
    "                transforms.ToTensor(),\n",
    "                transforms.Normalize((0.5,), (0.5,)),\n",
    "           ])\n",
    "train_loader, valid_loader, test_loader = mnist(valid=10000, transform=mnist_transform)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "    def __init__(self, latent_size=10):\n",
    "        super(Encoder, self).__init__()\n",
    "        self.fc1 = nn.Linear(28*28, latent_size)\n",
    "    \n",
    "    def forward(self, x):\n",
    "        x = torch.sigmoid(self.fc1(x))\n",
    "        return x\n",
    "    \n",
    "class Decoder(nn.Module):\n",
    "    def __init__(self, latent_size=10):\n",
    "        super(Decoder, self).__init__()\n",
    "        self.fc1 = nn.Linear(latent_size, 28*28)\n",
    "    \n",
    "    def forward(self, x):\n",
    "        x = torch.tanh(self.fc1(x))\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Net(nn.Module):\n",
    "    def __init__(self, latent_size=10, loss_fn=F.mse_loss, lr=1e-4, l2=0.):\n",
    "        super(Net, self).__init__()\n",
    "        self.latent_size = latent_size\n",
    "        self.E = Encoder(latent_size)\n",
    "        self.D = Decoder(latent_size)\n",
    "        self.loss_fn = loss_fn\n",
    "        self._rho_loss = None\n",
    "        self._loss = None\n",
    "        self.optim = optim.Adam(self.parameters(), lr=lr, weight_decay=l2)\n",
    "        \n",
    "    def forward(self, x):\n",
    "        x = x.view(-1, 28*28)\n",
    "        h = self.E(x)\n",
    "        self.data_rho = h.mean(0)\n",
    "        out = self.D(h)\n",
    "        return out\n",
    "    \n",
    "    def decode(self, h):\n",
    "        with torch.no_grad():\n",
    "            return self.D(h)\n",
    "    \n",
    "    def rho_loss(self, rho, size_average=True):\n",
    "        \"\"\"\n",
    "        D_KL(P||Q) = sum(p*log(p/q)) = -sum(p*log(q/p)) = -p*log(q/p) - (1-p)log((1-q)/(1-p))\n",
    "        \"\"\"\n",
    "        dkl = - torch.log(self.data_rho/rho) * rho - torch.log((1-self.data_rho)/(1-rho)) * (1-rho)\n",
    "        if size_average:\n",
    "            self._rho_loss = dkl.mean()\n",
    "        else:\n",
    "            self._rho_loss = dkl.sum()\n",
    "        return self._rho_loss\n",
    "    \n",
    "    def loss(self, x, target, **kwargs):\n",
    "        target = target.view(-1, 28*28)\n",
    "        self._loss = self.loss_fn(x, target, **kwargs)\n",
    "        return self._loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "models = {'16': Net(16), '32': Net(32), '64': Net(64)}\n",
    "rho = 0.05\n",
    "train_log = {k: [] for k in models}\n",
    "test_log = {k: [] for k in models}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(epoch, models, log=None):\n",
    "    train_size = len(train_loader.sampler)\n",
    "    for batch_idx, (data, _) in enumerate(train_loader):\n",
    "        for model in models.values():\n",
    "            model.optim.zero_grad()\n",
    "            output = model(data)\n",
    "            rho_loss = model.rho_loss(rho)\n",
    "            loss = model.loss(output, data) + rho_loss\n",
    "            loss.backward()\n",
    "            model.optim.step()\n",
    "            \n",
    "        if batch_idx % 200 == 0:\n",
    "            line = 'Train Epoch: {} [{}/{} ({:.0f}%)]\\tLosses '.format(\n",
    "                epoch, batch_idx * len(data), train_size, 100. * batch_idx / len(train_loader))\n",
    "            losses = ' '.join(['{}: {:.6f}'.format(k, m._loss.item()) for k, m in models.items()])\n",
    "            print(line + losses)\n",
    "            \n",
    "    else:\n",
    "        batch_idx += 1\n",
    "        line = 'Train Epoch: {} [{}/{} ({:.0f}%)]\\tLosses '.format(\n",
    "            epoch, batch_idx * len(data), train_size, 100. * batch_idx / len(train_loader))\n",
    "        losses = ' '.join(['{}: {:.6f}'.format(k, m._loss.item()) for k, m in models.items()])\n",
    "        if log is not None:\n",
    "            for k in models:\n",
    "                log[k].append((models[k]._loss, models[k]._rho_loss))\n",
    "        print(line + losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_lambda = lambda l: 'loss: {:.4f}'.format(l)\n",
    "rho_lambda = lambda p: 'rho_loss: {:.4f}'.format(p)\n",
    "line = lambda i, l, p: '{}: '.format(i) + avg_lambda(l) + '\\t' + rho_lambda(p)\n",
    "    \n",
    "def test(models, loader, log=None):\n",
    "    test_size = len(loader.sampler)\n",
    "\n",
    "\n",
    "    test_loss = {k: 0. for k in models}\n",
    "    rho_loss = {k: 0. for k in models}\n",
    "    with torch.no_grad():\n",
    "        for data, _ in loader:\n",
    "            output = {k: m(data) for k, m in models.items()}\n",
    "            for k, m in models.items():\n",
    "                test_loss[k] += m.loss(output[k], data, reduction='sum').item() # sum up batch loss\n",
    "                rho_loss[k] += m.rho_loss(rho, size_average=False).item()\n",
    "    \n",
    "    for k in models:\n",
    "        test_loss[k] /= (test_size * 784)\n",
    "        rho_loss[k] /= (test_size * models[k].latent_size)\n",
    "        if log is not None:\n",
    "            log[k].append((test_loss[k], rho_loss[k]))\n",
    "    \n",
    "    lines = '\\n'.join([line(k, test_loss[k], rho_loss[k]) for k in models]) + '\\n'\n",
    "    report = 'Test set:\\n' + lines        \n",
    "    print(report)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Epoch: 1 [0/50000 (0%)]\tLosses 16: 1.021291 32: 1.007257 64: 1.009242\n",
      "Train Epoch: 1 [10000/50000 (20%)]\tLosses 16: 0.910006 32: 0.864882 64: 0.736218\n",
      "Train Epoch: 1 [20000/50000 (40%)]\tLosses 16: 0.860002 32: 0.688989 64: 0.422951\n",
      "Train Epoch: 1 [30000/50000 (60%)]\tLosses 16: 0.759483 32: 0.523567 64: 0.363524\n",
      "Train Epoch: 1 [40000/50000 (80%)]\tLosses 16: 0.622271 32: 0.412409 64: 0.299500\n",
      "Train Epoch: 1 [50000/50000 (100%)]\tLosses 16: 0.539175 32: 0.384427 64: 0.292766\n",
      "Test set:\n",
      "16: loss: 0.5370\trho_loss: 0.0021\n",
      "32: loss: 0.3823\trho_loss: 0.0023\n",
      "64: loss: 0.2891\trho_loss: 0.0019\n",
      "\n",
      "Train Epoch: 2 [0/50000 (0%)]\tLosses 16: 0.540292 32: 0.383536 64: 0.287555\n",
      "Train Epoch: 2 [10000/50000 (20%)]\tLosses 16: 0.470980 32: 0.344509 64: 0.261349\n",
      "Train Epoch: 2 [20000/50000 (40%)]\tLosses 16: 0.455627 32: 0.338765 64: 0.260752\n",
      "Train Epoch: 2 [30000/50000 (60%)]\tLosses 16: 0.420859 32: 0.317506 64: 0.247874\n",
      "Train Epoch: 2 [40000/50000 (80%)]\tLosses 16: 0.361908 32: 0.272875 64: 0.205965\n",
      "Train Epoch: 2 [50000/50000 (100%)]\tLosses 16: 0.353235 32: 0.265471 64: 0.206396\n",
      "Test set:\n",
      "16: loss: 0.3552\trho_loss: 0.0020\n",
      "32: loss: 0.2686\trho_loss: 0.0017\n",
      "64: loss: 0.2075\trho_loss: 0.0013\n",
      "\n",
      "Train Epoch: 3 [0/50000 (0%)]\tLosses 16: 0.361817 32: 0.269112 64: 0.205027\n",
      "Train Epoch: 3 [10000/50000 (20%)]\tLosses 16: 0.355056 32: 0.266378 64: 0.208429\n",
      "Train Epoch: 3 [20000/50000 (40%)]\tLosses 16: 0.315879 32: 0.241594 64: 0.186574\n",
      "Train Epoch: 3 [30000/50000 (60%)]\tLosses 16: 0.306903 32: 0.236270 64: 0.181863\n",
      "Train Epoch: 3 [40000/50000 (80%)]\tLosses 16: 0.296887 32: 0.228547 64: 0.170385\n",
      "Train Epoch: 3 [50000/50000 (100%)]\tLosses 16: 0.304956 32: 0.232891 64: 0.178696\n",
      "Test set:\n",
      "16: loss: 0.2888\trho_loss: 0.0016\n",
      "32: loss: 0.2204\trho_loss: 0.0013\n",
      "64: loss: 0.1691\trho_loss: 0.0010\n",
      "\n",
      "Train Epoch: 4 [0/50000 (0%)]\tLosses 16: 0.299466 32: 0.227324 64: 0.175632\n",
      "Train Epoch: 4 [10000/50000 (20%)]\tLosses 16: 0.263483 32: 0.198838 64: 0.154810\n",
      "Train Epoch: 4 [20000/50000 (40%)]\tLosses 16: 0.276946 32: 0.210819 64: 0.160720\n",
      "Train Epoch: 4 [30000/50000 (60%)]\tLosses 16: 0.283162 32: 0.219255 64: 0.170084\n",
      "Train Epoch: 4 [40000/50000 (80%)]\tLosses 16: 0.262879 32: 0.204203 64: 0.152758\n",
      "Train Epoch: 4 [50000/50000 (100%)]\tLosses 16: 0.237986 32: 0.180685 64: 0.135408\n",
      "Test set:\n",
      "16: loss: 0.2495\trho_loss: 0.0014\n",
      "32: loss: 0.1930\trho_loss: 0.0010\n",
      "64: loss: 0.1474\trho_loss: 0.0008\n",
      "\n",
      "Train Epoch: 5 [0/50000 (0%)]\tLosses 16: 0.245407 32: 0.190782 64: 0.147302\n",
      "Train Epoch: 5 [10000/50000 (20%)]\tLosses 16: 0.247936 32: 0.185635 64: 0.138750\n",
      "Train Epoch: 5 [20000/50000 (40%)]\tLosses 16: 0.224939 32: 0.169117 64: 0.129638\n",
      "Train Epoch: 5 [30000/50000 (60%)]\tLosses 16: 0.234448 32: 0.177411 64: 0.134955\n",
      "Train Epoch: 5 [40000/50000 (80%)]\tLosses 16: 0.238662 32: 0.181782 64: 0.137088\n",
      "Train Epoch: 5 [50000/50000 (100%)]\tLosses 16: 0.232348 32: 0.175101 64: 0.131583\n",
      "Test set:\n",
      "16: loss: 0.2301\trho_loss: 0.0010\n",
      "32: loss: 0.1777\trho_loss: 0.0008\n",
      "64: loss: 0.1334\trho_loss: 0.0006\n",
      "\n",
      "Train Epoch: 6 [0/50000 (0%)]\tLosses 16: 0.222742 32: 0.174148 64: 0.132940\n",
      "Train Epoch: 6 [10000/50000 (20%)]\tLosses 16: 0.208215 32: 0.157188 64: 0.117656\n",
      "Train Epoch: 6 [20000/50000 (40%)]\tLosses 16: 0.227516 32: 0.174864 64: 0.133316\n",
      "Train Epoch: 6 [30000/50000 (60%)]\tLosses 16: 0.229171 32: 0.174101 64: 0.133510\n",
      "Train Epoch: 6 [40000/50000 (80%)]\tLosses 16: 0.239431 32: 0.183408 64: 0.138599\n",
      "Train Epoch: 6 [50000/50000 (100%)]\tLosses 16: 0.223247 32: 0.167851 64: 0.125613\n",
      "Test set:\n",
      "16: loss: 0.2151\trho_loss: 0.0008\n",
      "32: loss: 0.1649\trho_loss: 0.0007\n",
      "64: loss: 0.1231\trho_loss: 0.0005\n",
      "\n",
      "Train Epoch: 7 [0/50000 (0%)]\tLosses 16: 0.208001 32: 0.154237 64: 0.115490\n",
      "Train Epoch: 7 [10000/50000 (20%)]\tLosses 16: 0.198876 32: 0.156464 64: 0.115440\n",
      "Train Epoch: 7 [20000/50000 (40%)]\tLosses 16: 0.207440 32: 0.156721 64: 0.115582\n",
      "Train Epoch: 7 [30000/50000 (60%)]\tLosses 16: 0.214321 32: 0.162688 64: 0.120436\n",
      "Train Epoch: 7 [40000/50000 (80%)]\tLosses 16: 0.217823 32: 0.164386 64: 0.122359\n",
      "Train Epoch: 7 [50000/50000 (100%)]\tLosses 16: 0.201320 32: 0.153914 64: 0.112535\n",
      "Test set:\n",
      "16: loss: 0.2039\trho_loss: 0.0007\n",
      "32: loss: 0.1549\trho_loss: 0.0006\n",
      "64: loss: 0.1150\trho_loss: 0.0004\n",
      "\n",
      "Train Epoch: 8 [0/50000 (0%)]\tLosses 16: 0.187411 32: 0.138821 64: 0.102620\n",
      "Train Epoch: 8 [10000/50000 (20%)]\tLosses 16: 0.194241 32: 0.144056 64: 0.104639\n",
      "Train Epoch: 8 [20000/50000 (40%)]\tLosses 16: 0.197946 32: 0.156347 64: 0.113062\n",
      "Train Epoch: 8 [30000/50000 (60%)]\tLosses 16: 0.184848 32: 0.138592 64: 0.100260\n",
      "Train Epoch: 8 [40000/50000 (80%)]\tLosses 16: 0.185234 32: 0.138580 64: 0.098241\n",
      "Train Epoch: 8 [50000/50000 (100%)]\tLosses 16: 0.190153 32: 0.147053 64: 0.108487\n",
      "Test set:\n",
      "16: loss: 0.1945\trho_loss: 0.0006\n",
      "32: loss: 0.1483\trho_loss: 0.0005\n",
      "64: loss: 0.1084\trho_loss: 0.0004\n",
      "\n",
      "Train Epoch: 9 [0/50000 (0%)]\tLosses 16: 0.195354 32: 0.144441 64: 0.106932\n",
      "Train Epoch: 9 [10000/50000 (20%)]\tLosses 16: 0.183677 32: 0.139552 64: 0.103034\n",
      "Train Epoch: 9 [20000/50000 (40%)]\tLosses 16: 0.194950 32: 0.150071 64: 0.111764\n",
      "Train Epoch: 9 [30000/50000 (60%)]\tLosses 16: 0.196255 32: 0.152314 64: 0.112229\n",
      "Train Epoch: 9 [40000/50000 (80%)]\tLosses 16: 0.188972 32: 0.145147 64: 0.104387\n",
      "Train Epoch: 9 [50000/50000 (100%)]\tLosses 16: 0.187099 32: 0.140719 64: 0.101514\n",
      "Test set:\n",
      "16: loss: 0.1879\trho_loss: 0.0005\n",
      "32: loss: 0.1432\trho_loss: 0.0004\n",
      "64: loss: 0.1035\trho_loss: 0.0004\n",
      "\n",
      "Train Epoch: 10 [0/50000 (0%)]\tLosses 16: 0.201463 32: 0.159392 64: 0.113853\n",
      "Train Epoch: 10 [10000/50000 (20%)]\tLosses 16: 0.194908 32: 0.142564 64: 0.102377\n",
      "Train Epoch: 10 [20000/50000 (40%)]\tLosses 16: 0.164344 32: 0.122363 64: 0.089921\n",
      "Train Epoch: 10 [30000/50000 (60%)]\tLosses 16: 0.184222 32: 0.139456 64: 0.100419\n",
      "Train Epoch: 10 [40000/50000 (80%)]\tLosses 16: 0.194330 32: 0.141659 64: 0.102894\n",
      "Train Epoch: 10 [50000/50000 (100%)]\tLosses 16: 0.182822 32: 0.136045 64: 0.097834\n",
      "Test set:\n",
      "16: loss: 0.1818\trho_loss: 0.0004\n",
      "32: loss: 0.1382\trho_loss: 0.0004\n",
      "64: loss: 0.0990\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 11 [0/50000 (0%)]\tLosses 16: 0.184962 32: 0.142474 64: 0.103229\n",
      "Train Epoch: 11 [10000/50000 (20%)]\tLosses 16: 0.184611 32: 0.145968 64: 0.104031\n",
      "Train Epoch: 11 [20000/50000 (40%)]\tLosses 16: 0.188454 32: 0.142141 64: 0.104772\n",
      "Train Epoch: 11 [30000/50000 (60%)]\tLosses 16: 0.175628 32: 0.132308 64: 0.093348\n",
      "Train Epoch: 11 [40000/50000 (80%)]\tLosses 16: 0.171529 32: 0.125634 64: 0.090963\n",
      "Train Epoch: 11 [50000/50000 (100%)]\tLosses 16: 0.171381 32: 0.132756 64: 0.093332\n",
      "Test set:\n",
      "16: loss: 0.1781\trho_loss: 0.0004\n",
      "32: loss: 0.1349\trho_loss: 0.0003\n",
      "64: loss: 0.0959\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 12 [0/50000 (0%)]\tLosses 16: 0.158135 32: 0.121447 64: 0.088711\n",
      "Train Epoch: 12 [10000/50000 (20%)]\tLosses 16: 0.179389 32: 0.133917 64: 0.096452\n",
      "Train Epoch: 12 [20000/50000 (40%)]\tLosses 16: 0.181761 32: 0.136544 64: 0.098230\n",
      "Train Epoch: 12 [30000/50000 (60%)]\tLosses 16: 0.163564 32: 0.121004 64: 0.082930\n",
      "Train Epoch: 12 [40000/50000 (80%)]\tLosses 16: 0.161783 32: 0.124619 64: 0.088630\n",
      "Train Epoch: 12 [50000/50000 (100%)]\tLosses 16: 0.159896 32: 0.124736 64: 0.088677\n",
      "Test set:\n",
      "16: loss: 0.1734\trho_loss: 0.0004\n",
      "32: loss: 0.1314\trho_loss: 0.0003\n",
      "64: loss: 0.0925\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 13 [0/50000 (0%)]\tLosses 16: 0.169121 32: 0.128739 64: 0.087380\n",
      "Train Epoch: 13 [10000/50000 (20%)]\tLosses 16: 0.181333 32: 0.134494 64: 0.093973\n",
      "Train Epoch: 13 [20000/50000 (40%)]\tLosses 16: 0.207108 32: 0.154575 64: 0.111614\n",
      "Train Epoch: 13 [30000/50000 (60%)]\tLosses 16: 0.170996 32: 0.127374 64: 0.089647\n",
      "Train Epoch: 13 [40000/50000 (80%)]\tLosses 16: 0.175289 32: 0.132076 64: 0.095685\n",
      "Train Epoch: 13 [50000/50000 (100%)]\tLosses 16: 0.187160 32: 0.142386 64: 0.100533\n",
      "Test set:\n",
      "16: loss: 0.1701\trho_loss: 0.0003\n",
      "32: loss: 0.1280\trho_loss: 0.0003\n",
      "64: loss: 0.0899\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 14 [0/50000 (0%)]\tLosses 16: 0.170569 32: 0.131010 64: 0.092090\n",
      "Train Epoch: 14 [10000/50000 (20%)]\tLosses 16: 0.182493 32: 0.134362 64: 0.093745\n",
      "Train Epoch: 14 [20000/50000 (40%)]\tLosses 16: 0.172511 32: 0.128268 64: 0.088056\n",
      "Train Epoch: 14 [30000/50000 (60%)]\tLosses 16: 0.173342 32: 0.133410 64: 0.092948\n",
      "Train Epoch: 14 [40000/50000 (80%)]\tLosses 16: 0.136220 32: 0.104047 64: 0.074855\n",
      "Train Epoch: 14 [50000/50000 (100%)]\tLosses 16: 0.186447 32: 0.138973 64: 0.098252\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test set:\n",
      "16: loss: 0.1665\trho_loss: 0.0003\n",
      "32: loss: 0.1251\trho_loss: 0.0003\n",
      "64: loss: 0.0872\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 15 [0/50000 (0%)]\tLosses 16: 0.157048 32: 0.117743 64: 0.081909\n",
      "Train Epoch: 15 [10000/50000 (20%)]\tLosses 16: 0.162758 32: 0.123304 64: 0.083872\n",
      "Train Epoch: 15 [20000/50000 (40%)]\tLosses 16: 0.151008 32: 0.113694 64: 0.076454\n",
      "Train Epoch: 15 [30000/50000 (60%)]\tLosses 16: 0.159439 32: 0.119898 64: 0.080750\n",
      "Train Epoch: 15 [40000/50000 (80%)]\tLosses 16: 0.157032 32: 0.116755 64: 0.083329\n",
      "Train Epoch: 15 [50000/50000 (100%)]\tLosses 16: 0.168243 32: 0.124081 64: 0.085662\n",
      "Test set:\n",
      "16: loss: 0.1642\trho_loss: 0.0003\n",
      "32: loss: 0.1225\trho_loss: 0.0003\n",
      "64: loss: 0.0854\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 16 [0/50000 (0%)]\tLosses 16: 0.145156 32: 0.105741 64: 0.073836\n",
      "Train Epoch: 16 [10000/50000 (20%)]\tLosses 16: 0.156989 32: 0.116864 64: 0.081202\n",
      "Train Epoch: 16 [20000/50000 (40%)]\tLosses 16: 0.156254 32: 0.116681 64: 0.078338\n",
      "Train Epoch: 16 [30000/50000 (60%)]\tLosses 16: 0.171817 32: 0.124312 64: 0.084596\n",
      "Train Epoch: 16 [40000/50000 (80%)]\tLosses 16: 0.161408 32: 0.122055 64: 0.084873\n",
      "Train Epoch: 16 [50000/50000 (100%)]\tLosses 16: 0.157915 32: 0.120978 64: 0.082014\n",
      "Test set:\n",
      "16: loss: 0.1620\trho_loss: 0.0003\n",
      "32: loss: 0.1206\trho_loss: 0.0003\n",
      "64: loss: 0.0834\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 17 [0/50000 (0%)]\tLosses 16: 0.145711 32: 0.109343 64: 0.077323\n",
      "Train Epoch: 17 [10000/50000 (20%)]\tLosses 16: 0.170360 32: 0.124002 64: 0.085318\n",
      "Train Epoch: 17 [20000/50000 (40%)]\tLosses 16: 0.167489 32: 0.121215 64: 0.082423\n",
      "Train Epoch: 17 [30000/50000 (60%)]\tLosses 16: 0.155407 32: 0.114764 64: 0.079952\n",
      "Train Epoch: 17 [40000/50000 (80%)]\tLosses 16: 0.165507 32: 0.124142 64: 0.086815\n",
      "Train Epoch: 17 [50000/50000 (100%)]\tLosses 16: 0.153593 32: 0.112939 64: 0.076588\n",
      "Test set:\n",
      "16: loss: 0.1594\trho_loss: 0.0003\n",
      "32: loss: 0.1181\trho_loss: 0.0003\n",
      "64: loss: 0.0812\trho_loss: 0.0003\n",
      "\n",
      "Train Epoch: 18 [0/50000 (0%)]\tLosses 16: 0.158639 32: 0.118155 64: 0.079805\n",
      "Train Epoch: 18 [10000/50000 (20%)]\tLosses 16: 0.146413 32: 0.109687 64: 0.076202\n",
      "Train Epoch: 18 [20000/50000 (40%)]\tLosses 16: 0.145724 32: 0.107548 64: 0.072647\n",
      "Train Epoch: 18 [30000/50000 (60%)]\tLosses 16: 0.157803 32: 0.108133 64: 0.073934\n",
      "Train Epoch: 18 [40000/50000 (80%)]\tLosses 16: 0.160188 32: 0.118740 64: 0.079961\n",
      "Train Epoch: 18 [50000/50000 (100%)]\tLosses 16: 0.143763 32: 0.107959 64: 0.074266\n",
      "Test set:\n",
      "16: loss: 0.1574\trho_loss: 0.0003\n",
      "32: loss: 0.1161\trho_loss: 0.0003\n",
      "64: loss: 0.0797\trho_loss: 0.0002\n",
      "\n",
      "Train Epoch: 19 [0/50000 (0%)]\tLosses 16: 0.157082 32: 0.111039 64: 0.076428\n",
      "Train Epoch: 19 [10000/50000 (20%)]\tLosses 16: 0.146881 32: 0.106399 64: 0.074661\n",
      "Train Epoch: 19 [20000/50000 (40%)]\tLosses 16: 0.151643 32: 0.112649 64: 0.074900\n",
      "Train Epoch: 19 [30000/50000 (60%)]\tLosses 16: 0.165586 32: 0.120413 64: 0.083952\n",
      "Train Epoch: 19 [40000/50000 (80%)]\tLosses 16: 0.153391 32: 0.116502 64: 0.077030\n",
      "Train Epoch: 19 [50000/50000 (100%)]\tLosses 16: 0.136229 32: 0.100500 64: 0.069760\n",
      "Test set:\n",
      "16: loss: 0.1567\trho_loss: 0.0002\n",
      "32: loss: 0.1148\trho_loss: 0.0003\n",
      "64: loss: 0.0783\trho_loss: 0.0002\n",
      "\n",
      "Train Epoch: 20 [0/50000 (0%)]\tLosses 16: 0.138073 32: 0.102439 64: 0.068969\n",
      "Train Epoch: 20 [10000/50000 (20%)]\tLosses 16: 0.150495 32: 0.107094 64: 0.072792\n",
      "Train Epoch: 20 [20000/50000 (40%)]\tLosses 16: 0.163126 32: 0.118568 64: 0.079502\n",
      "Train Epoch: 20 [30000/50000 (60%)]\tLosses 16: 0.154276 32: 0.113964 64: 0.074665\n",
      "Train Epoch: 20 [40000/50000 (80%)]\tLosses 16: 0.144083 32: 0.106911 64: 0.072698\n",
      "Train Epoch: 20 [50000/50000 (100%)]\tLosses 16: 0.146792 32: 0.107385 64: 0.074135\n",
      "Test set:\n",
      "16: loss: 0.1542\trho_loss: 0.0002\n",
      "32: loss: 0.1129\trho_loss: 0.0003\n",
      "64: loss: 0.0764\trho_loss: 0.0002\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for epoch in range(1, 21):\n",
    "    for model in models.values():\n",
    "        model.train()\n",
    "    train(epoch, models, train_log)\n",
    "    for model in models.values():\n",
    "        model.eval()\n",
    "    test(models, valid_loader, test_log)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([5, 6, 3, 4, 5, 3, 3, 1, 4, 4, 7, 4, 2, 6, 3, 3, 5, 4, 4, 2, 2, 4, 2, 2,\n",
      "        1, 5, 4, 6, 4, 3, 4, 4, 3, 4, 3, 3, 4, 3, 5, 3, 2, 1, 2, 1, 2, 3, 4, 1,\n",
      "        4, 3])\n"
     ]
    }
   ],
   "source": [
    "data, _ = next(iter(test_loader))\n",
    "output = models['64'](data)\n",
    "to_plot = output.view(-1, 1, 28, 28).clamp(0, 1).data.numpy()\n",
    "decoded = models['64'].decode(torch.eye(64))\n",
    "dec_to_plot = ((decoded.view(-1, 1, 28, 28)+1)*0.5).clamp(0, 1).data.numpy()\n",
    "with torch.no_grad():\n",
    "    encoded = models['64'].E(data.view(-1, 28*28))\n",
    "    print((encoded > 0.5).sum(1))\n",
    "    encoded[encoded < 0.5] = 0.\n",
    "    decoded_f = models['64'].decode(encoded)\n",
    "    f_to_plot = ((decoded_f.view(-1, 1, 28, 28)+1)*0.5).clamp(0, 1).data.numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 50 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 50 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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TJ6yBO3fuTOPuQYeHCRU1NzdXCvlEOTMzMyUbQOrhp19f+9rXJEl/8Rd/IUn64he/mJ7Dew92kXthxTkZoO/pP/oKe7BTp06VWLeYf3pQRCa4Cs5yRbu3WF+372TsLly4kE4HYJG/9KUvSSqHV6Ns3ufsJWjXU089pdtvv73nueNGnP9ujx1T+UnF+4pP5CSy9u7XwNpGm5ADTkOYRzwzhix66KGHJBVsMvuOQfc2mRHMyMjIyMjIyNimGNpGELBDjt5f7GA5y4YZhCFgF402iOaAXdjExETSdtCK0LhgAtgtwy7x/ad/+qcl9XrW1ml24/Iaprx2u11KLo72hj0PoO20i7ocP35c//AP/yBJ+vSnP91TFnYmMAZoAXWegjGVz7hsRby8aPvE3x5ywu2j0PLQotBeZmdnk/aIDEUbIKlgBLEz8v6LIWvQnGBDRg0v4HYhVWkB3fMLjRAN+P/8n/8jqWACqe++ffsSm02baDu2VvQnjIF7yjOPduzYkX5DRupS4PXbbk93xNgtLCyUZIG5iOcfTBGsJIwgn9PT0yX5ZL7AHmFvSJmsFTAK2FldddVVJTvNUee5y3yVXZrbgrqtHp9cH8PgsNbhOemMOv2E7LvXeEz15jaKo8h8t9stnaZUtR27PtZ71ik/HSH0B2FwpEJmYQIZx6985SuSivGlDFhRrmcd3bFjR5Ivl/FhZD6G9aHNjMvk5GQprR5MFXOTev/lX/6lJOlTn/pUT3tvv/32NJ68M1ivYM6ZTx5Wpio8DgyU240Ow5LFsEEgrn30C3MS9pa1zm0eo32htNGf9Cm20qwn9AVrIPLL6QH/Z/5ce+21qX88hMowqLKLjW135p820XbWJcYQZjie1sGMwn76CSmyzjziFAT5o2/uvPPOkt/FsKHxMiOYkZGRkZGRkbFNMbSxlLMj2IlEzxp26GiwfHrcQM7E2UXv3LkzaQzc40FqnRHEru5Nb3pTzzMmJydTHT3GzrhYMhA1KZ7lbALtQHPz4Jt/9Vd/pX/+53+WVPQLmhXaEddSlqfYidpATL01jvY54xU9gL0/PbaesyZo8zFwKuXCen7rW9+SVHjO0W+uGXJf1Nrr2JBh7eScHYmJ5j3FE21Hq/sf/+N/SCrs5dD+sRN64xvfmNgvND60PdqEBvnII4/0/N9j6918880p7pYzRKN6TLuXHPNPKvqDMSNuICz+K1/5SkmFx29kcz0GXAyOLRV2k9jLwiSA6B09joDCYDOZr2Jb6jyVfT3DLmzPnj2pL5F52GOYFWe/3OY1ynydh/SwMu/3x7intIl1G0aQdrAuIZ+0OQbBjXZ3UiGfzopzqgRrwvXRNs4jRvh8HQQxFRjt4B23a9euku2lRwP4sz/7M0nSF77whZ7rXvva10qS3v72t6c20AeMO/2H7MMUs/ZRL8a90+mkeeP2ZzGaQ7+oSqVWFaifuc+6hGxTT8aGtY7fFxYWUn9xCsLJnwdNh2n1SAqwkVdffXXJcxYMM+5Vpx8xHaj/BgPIp8e9RWaoy65du1KbWC+RL+LFsvZ99rOf7SkDRDt0mFI/GRvYLnagqzMyMjIyMjIyMn5kMLTXsCN6w3qcHDRBvHvQ3GAtsB3EznDHjh3JLgabEHa4nJdzru7R693usNvtltJRjdtbGETbEeCestE7OAJN8v3vf39qG21/8MEHJUk/8RM/IanQvJyVddYn2q6NgyXpdrsljZN+7nQ6qR6eQsxtthgPWDQ0oKmpqdT2D33oQ5LK7AhyhkyhbcKeom3Nzc2VknnXpbzrF25/wefKykqpX/EW/F//639JKrziqC+y/+Y3v1mS9N73vje1iX7E7sQ9EWG/mQvMAeadVMibs6LDyn6dfeT6+nqqJ8wAbcd2iDqQKhH7zji3+dtlhvmChk27eGZVHMm6NG/DtnszmfcYYM7Oc63LfGT3YNQ++MEPSipkHm0fRg3mHBmi7fTF7t27Sx7Fo8j82tpaqe3R9tDjgyKfsCMe1YB5HmWQ8fUsFd/97nclFSwj/UXbPSLB9PR0KS6tR1EYBJ1OJ/Wln2xcvHgx1ZP+JYXohz/8YUkFE8iziRv7zne+U9JGZgzKxwYYGWZ95z3JM2CGqAf1inEE6c9RPOWrmGDasbKykuQN21DG3WXdYxqyNq+srKQ1gLWNa2AEYfkYS4+hCWN47NixVB+PqzsqqtLVIqfMPd7bRINAbrEVRU4Y0+np6XTyQ9s4KSG1LPsgYk7SR/QrzOc111yT3ofOFg+KzAhmZGRkZGRkZGxTjGwjiHbCbvXgwYNp98vOlThSaG9uM/jjP/7jkgq7v127dqUdLlqla4xoH2hAbmNEfaRehizWfdyaQ7SfAG4z6Pk5YTjY/b/44oupbbfddpsk6Vd/9VclFVoS/0criXklpaJPYn0GjTRehWazWfIIjp6ZnleVsQLRRkQq5CPm2sQWCLYLwCbDpEUNNZYZ8y97jEEf/0EQ7/F816urq6VcuX/7t38rqYgbxrgjB3i3/+f//J8lbXi/uWemZzagT7CvQRN3b8P9+/en+YCsjMqCOzMQ48lRb+YvGi2A2XrrW98qqdD6I3PjTCBlou3DqKJ50wdcF7133etv2ETs3NuPzLsXqa91fIf5jOMDi4B9Ec8jXihMsWdMQeZjTm33LB2l7TGG4mZrpXtQel5itwWP2Tg8ByvZKZg3MCseixDQvzt27CjZR7qtV78gswhjBlvFaYXUy25Jhcxju8b4wlz9+q//uqTC8/u6665Lax1MFnZwHmmCcWZ+0VcxvzD3UFf6YtTYelXj7h6ynuWLevM+ogx+v/HGG0unNNyLx6zni3Zbek5BYjaqcbzjqmKmUoe41jEmjDfMIKebyAeMHe/yBx98MOUF5pSLcaeN2EEjHzwTOUGG3vGOd6S1FHnLjGBGRkZGRkZGRsZAGDnXcIxdJm3syvkNDQDmBwaLHbZnAMAGptvtlnLmucboWie5fD3nbKyjsw7jZgSrcvE6K4HWjL0H8eSIM9XtdpMW8Su/8iuSCmYALQTmB7sQ2odmgQY8NTVV8qQbBVUxliITEjOaRDAmMEDIBWPM59LSUrKXoQw8qe677z5JZU3XWYgYP8ttJ0dhgqsYQep94cKF9Cw8evH8hrkCaIa/9Vu/JalgOmLcQx+z6JkrFVqoe/CiqUf7plFjJ0q9dnI+30+dOpWeixaMXHLP6173OkmFjWBk66XquGW0CdtAGFbmP3Y2aNesMQsLCyVPaTCsvVSdzEcbOrfJon98LXRv99XV1WTzyRqH/dQDDzwgqVgvPUsNfRRl31n5UWXe70c2Y+YemD7PkUq9GUNsR6NnaMw/KxX2cs6gv+IVr5BUzBd/d3Q6nTQu9Pmw63uj0ehhQ+l3WJcTJ06k32DpsI+l3qzFZH5gTGG6VlZWSnbjRBBgfH1euWd1zEEL8+hxbIdhyarY43j6gZwS65X1iHH13MyMA3WMcuqZeNzG321uuZ53yqlTp1KfjuOkr2qdj7btjDvyimzzyRxgPXr1q18tqXh/3XfffelUwNdBbC7/5//8n5KKdwd9gexT5vXXX59k0pnTHEcwIyMjIyMjIyOjL4wn6ap6vcrYwaI98t1jATpbEfOhRs88qYhJ9pnPfKanDDQtdsmuDTabzZ4YYxHjjiMYnwvQJmBD0Z4+8IEPSJI+//nPSyq0q7179+ptb3ubJOkNb3hD+k0qtD3PruJxxmJO5bq4ZsMg2tq4F2Gr1Urae4wtKJW1lTrvrjNnziTNCi2PuJAwg/Qjmrfn2UXrbLVaqR+8HsPaCHp9Ka/T6ZQYDVhbt6X9j//xP0oq23tGTdvzAyPrZOhw1gcZi1ksvI2jaMnxXvfEjLG6YC4ALJjnxvbYZOvr6yX2jnF1T1rayPWwKNEr1zMCVLWjX1TJfOx35qQz074OOTsCYm525vlb3vIWSeWTAM9nSvuizDtLPIrMx/pWyZqv834CRH9h28opCHZ+d9xxR7L59fz02EXSJ2SK8tOFKEOeSWhYmV9fX9elS5fSM2gfDNzly5drbZOjzWKst7NVzz77bLJzwzbU34uMM8+CBfdTkYmJibT+0LfxVGgU+Phfvnw5vat4D3le6zpv7ei5znygjcg2p4KOumwfrVYr1WNc2IxZpF95//DJvKC/2ZcQ/YT318zMTFrfYXw55fi93/s9Sb35qKWCXSbCxBvf+EZJG33ljOmwGDp8jHeWbwyqEA3MpcLgE8GPwUL9CNWN7jG0xB2f755Wqio4ZmzHOFFlaAqYtCyKH//4xyUV7uZMjAcffFDvfve7JRXBNtnAsriQqslDBRCIlIXi7Nmz6eXrR+3DoGozFPuZhYzxpb7utOGLC/c98sgjKTUTR6g/8zM/I6lsOE1bXdkA8agaeDL0QVAl1zG8BHLJhsUTsfOCYOMCaM/p06fT0UBMuScVLwo2gvxO/zHGLKKtViv1D8/rZ37WocrkIToj+KbD0yf6S5MxiyFo/Dfm/d///d9LKl4ybAwIqcRCy4YiXhuDyg+LfmXeDfh90+jf2VQ8+uijyTgcmX/ve98rqeg/rnVTkBgii/b6/PaxGQRxg+5BtScnJ9O40r9sSNkI+hxgs8K6//jjj6d54UFz+Z3QGrxYXZ4Z6263WwriDwZd5xuNRo/jDeVFJz3klT5gjDDr4f+0C7lgw/vlL385zXc2VtxL/9CfMY1efGZM1YoSxgaa+TCqY5z33fLycqqvg/p4ur2YWk7a6D9kmfcf7zQ2Pf6u8DFl/C9fvpzWQzcXGxZuShSdDKMyIJVNP3xjRhmsfcvLy6lfHn74YUnSJz7xCUmFkwhlQBb8/M//vKTCwRA5iQHZR217PhrOyMjIyMjIyNimGNpZpOpvaWOX6qnPYkohqXy842m5ms1m2kGTZuUjH/mIpCL8wr333iupMEB342EQGcH425VAlfYVKXWpMJjmiJidPOzf2972tlLgbWdz0LhjUM34LIKwXnvttaXj8FEQDajdEWN6eroUMoPxpF5+ZMTvhEH5+7//+8QawI6gFXnoF2f13EkoGuKOK8Cwj288gkfz9xAZgCMbXP+pE9r/N77xjdJxA4Al5RnIBTIFCxDTNXn4har0g/2iiumOziP8D1kjXAwhFWBJMSaHvWfMduzYUTKQ/9jHPiapOGKnHbSRY1PKYv7HgNJ+nDQMNpP5aDzurAf3wBT4kRZHYu9///tTGzGDwCjcg0J7aB0PTTNumY9rp7Ni09PTiQmElfX+YUwYZ9rJ5/e///0UdoX6+lGhO0q4qQWM7O7du9MY+Lo5DCM4PT1dSuXJsw8fPpzWKRhq1mLa5okDYPU5+n7iiSdK4bWY96yTjDNMP33DWhLlnPdilRnOMO0HPncWFhYSK+ZH2Ywl5k787gHnv/nNbyZWjD7mPc7xKG32Y3DWCZ69d+/exJD5fB/1Pe9ztt1up3FFHjmuB+70AvNJ2s1Tp06l0032Aoyrr3G/9mu/JqlwtuNdSB3a7XZtG7OzSEZGRkZGRkZGRl8Y2kbQz6Sj1upsDf9jJ+vu3q7lTU5OJu2CVGNoELhhv/3tb5dUsAzubh4N6uvCh4ybGYw2NW4PCTvyuc99TlKh0cBovOc975G0wXR6n9bZG7mWjKMF/3/++edLgWxHYYbis2KbKc9Z2ej8IxWatTu1oBE99dRTaRxhGdAq3UYEjdEDacZwPc6KOMMyCKq05Nh2txFx20U0Xk+Nh8a4trZW0oJxBoId8fGnb7AHgkXdvXt36i/6nGtHdZCqCvPiNr7Mb+SRdFvYR2E4jeY7NzeX2BBsG0nZ5anbmO/YFMGKRdtFZ/DAqOFjQFxHkHl3EvH5z9rH7zBHjz32WBpP2oTseHBqZAw5cUeQKPMe/HpUmfe+XFtbS/WBoUIOPVWa23vB8j399NP6yle+IqlIm8i6Tz8y/qwRhAvyd0qV3fqoDlJutxpPsmgrdn600RMHIMf8nxOAmZmZdC2sEvMGxs1PFyiDvogh2zhh4n0SQ3INOuejzDsLvbi4mGSXcaTejBWsJ/WECaTtMUUfQA7+5m/+RlJhB4esI3+shdy/Z8+ekuPQqONf11/tdjvJJWPGe5V1nTGjnpyOgBMnTqS9gDOqyPZv/MZvSCrvda5UAAAgAElEQVRSyvIMPxVrNpulPcKwAeQzI5iRkZGRkZGRsU0xtI1gFQPD9+jSHz/RUjw0DFpz9IZD28DLljLYNTsj4MnIY1iTK2UT6IjpqNAiYTg+/elPSyq0I+pE2Bs8g3bu3Jk0QjQq2ujej+6lhW1gDFCKpoL2gRY/DGLQVkfUQDykBv+DCaQMxgyt+YUXXkiaFqwRbSaciAcfd3YxprtyZsjTGg2C9fX1kvc57Zibm0v9jK0QNkH0BcylBxGFPbn99ttTf6Hdeyo513TxoIRZI1TF1NRUKTDrKKjSLiNDxLOwl0KDRRuGKYAhRL4Jvt1qtZIMcw994PaSHozeU6o1Go2elGujosoTF8R+oQ9cxupkHvugF154Idn+4CGLzNMnbivmzHsMKO0y7wzloPDTmij71BP2xlN9ue2oB/reuXNn8hLFLo7nwGzBvLFueWDz6M3srPegqeVim5eXl1N5HlD61KlTaRwBLBm/s+57+jDqvW/fvtRGbMJZo/HKddtq9xqmr86fP196l4Jh3n/x/e7rKsG247Ngv0gVizzA7mIfR6SMVqvVE+pKKsYK+0JCKL3qVa9K90hlG9y5ubk0f8YNPz1rt9tpnfd1iDUPe0jklfWd8HfHjh0rhbvhnfELv/ALkqR/9+/+XU+ZdSesnU6n1gY42whmZGRkZGRkZGT0haFdylzDRGtqNBpb2ua41ozmFT2tSC6PtgEr9prXvEZSWUMEnhamqh51cQWHRZUXNZoOHr3/9E//JKnQ8tnt/6f/9J8kFVrU6upq8g6FFcGL0O38sLnCC8nTby0tLZVsqEZB9KCkf9FiW61WrZcjGo2zYTAIBAm/cOGC7rrrLkmFhxSyAqvk6QL9EzmMtmvOUAwTSzHGy/MYZpOTk4mde/3rXy+pYLLdExhbVzRLNMqFhYWkKcKQwvC6JxoMIaz4W9/6VkkFm7Zz586SFjmqJ53PGfp5eno6sR8wJnj0I9MwXcxpmG48LycmJhKbCQNUZx8V7Yjj93gSQNtdDofBZjIf7aHdftNlnjK4F7vJ8+fP6x3veIeksr1zfE58fl2swMXFxWTXVmVPNCiqvMVjukPWYNrIsxlX7oUZ4l6+nz17NjEo3EMqOWQaGXfPWQ+yH9c6Z/yH8ZqdmppK/cqzmLudTic9g3nM/GftZi46M4/c7t69OzGBwE9raCvrPH0Ak8gzT506lbzoGWfqHtMEDgKXG5g4xkkq2C7mLnbdtIt1C8aLss6ePZv+xzsL+0FkHjs6+pG1hXbFVI0eNHuU9/pWtuCMH2PhwcY5seR35BtG8Otf/3q61v0D/sN/+A+SCnlz2/Yq+2yX7WHX+cwIZmRkZGRkZGRsU4ycWaRql1q3I/f4goBdNlrTpUuXkrcwDBraMuxYnRekJ2hvNpu12vCVyCzi2TJgdTzzAJ5WaHUxKwceVLTdPYxpG7EVsT9EC8FD9fDhwyUGbRRmKGranspqfX29FFWd757VhHJgtogzNzExkbzCnUlBg9yM8Y2o8vYc1qPK7/d4Ve12O2ms2DaiJaMJYvfzvve9T1LBmiGvTz/9dLqWuIE8D42avkbzvv/++yWVvU1brVZtJpFxxRGMXvnIsNt54cXMvMeW8fjx4z2/Hzp0KLEIyPaf/MmfSCr6mv511sxt4aqyYYxb5qPdlLN0tD3G+or3wvKQRWB6ejrZVrE2APqHMpz99PZEL0JnKEe1EaxiVz0+LG1EDmgrrIjHFV1ZWUmMEGscnpKk14R5qUvpFSMU+DupKg1iv21eXV1N9/uz4+kAJ1b0AXFCeSYMGu8rTjo6nU46AWDecupBX8Ac+emXe8nu27cv3eO2qm4zOCi87/bu3Ztk21k6rqWfsJukHbzzbrvttnQvUTQ8ygEMIQyr7x24fnJysvTeGeXELzKoVeV4W/3Ui2uRedr3d3/3d5I23nmMJ7L+sz/7s5KKeVOXog9ET2GvY/YazsjIyMjIyMjIGAgjZxbxHWnUpNBGPE8lv/tOnv9/8YtfTHGl2P2Sa9KTUtflr427ad9ZjyvyONisHHb5sCZogWgW2AqhNT322GNJi3AbG9gQz9iA5g1DhI3g0aNHSzZVo7bZ72d8lpaWSrHzPLYjoO3YvqDN3njjjclGyOMHwoY6G+f2qPw/MgTOHgzjTVgl87Fc2g5799BDD0kqWF3ijcH2whAyPmfOnCnl8MTeBBmiP++55x5J0gMPPCCp0MyrxngcdrHdbreWXVtaWkr9UFcPxoR6w2iiGR84cCCxDMgyzD8x6ugDGA/PY+uxK6Xy2jAsK1Yn89Gz1D2VXeZ5NkwHa92tt96a7LuoO+UjSx4RoS7G2/T0dCmumN8zCCK7CqIHpUd78FiJniMXL3jKeP7555PM04/0hbfd2SXGP9rxIU9utzksvBzas7S0lJg+WC7+53aQ0dM41jfmA3d7Ye6hzciKx0Xl+snJySQ7nllkWM/pqhzD0oZc0c8w/LB12ADD8vKu4zvr2f79+5O9O17BMGj0H7LEOwLZwYYYe9Bms1nKVFbXhn4Q17r4m6PuxAU2lFiKf/RHfySpWP+bzWbyc/jFX/xFScX7mjbXzd3NMpeNKuuZEczIyMjIyMjI2KYYLflqQPRSYlfvHkfs3N2eAe2ZTAp/8Ad/kLQJ/sd5unvUOHhGZAHqov5fCfBcPKqwk8KOiziCaINoDHhYXrx4saSBohVjW8W9PINchA8++KCkwg7lqquuSgzqMJ6yjm63W4rJF/NJx3hm8X+e+xXtjlh7yMP999+fND7gNlfRO506SWUbk4mJiZLnbNTGx4HIPvMs4oZhpwkj+IEPfEBSMRfcc/by5cup7m4/CjsCK44dEmxZlS2Ja4r0/TBtr7IRjFli/PnOTnhuXI8WEGXHNW36lT6BBaFdnp+1SkZHme9V5VXlWXaZj+uhVDAe3/3ud3uuv+eeexIjBOpY/DrP7cgU+T2jynydLdSlS5dKbXU7Ll/HuBe76e985ztpTYPxZ16w/vN/GLbISEq9MWi9z0dpe7fbTWPm2WOqImNEb2CpmOe0mbUaZmh6erqHYZSK+eHvMNZ7Iip4ppNdu3altYL1E9vFXbt2DRVHEHBvnNMw+m776dEsWOc9D/eBAwdSf/j7ErgtOHOEPuJz165dpXV+1Iwyfuqxma2pyxrRIj784Q9LKmyBkdNrrrlGP/dzPyepWMc9mgaIdtjxe7RNp05b2Q9vhcwIZmRkZGRkZGRsUwzNCNZ5q6yvr6fdKcwg2onnE2VXj/YHO/axj30s7XTxIsWLzO02YpTt+Hvczdd5zF4JZtA1Vuwo/st/+S+SCnbnYx/7mKSiL6I2jfZFv6EVwXr88i//sqSC+XP7SdobYyyNK45gnSdTt9tNWo9nEIgR8KUiryhez2hER44cSX+7HZ4zRW4X4hkQVlZWUtvH4U0W749t5tNtxLCHefOb3yypGBsYDmJEoiVfvnw5XYPNCPYzMH/87tr0Zu3zfhzWZshBHS5fvlyKd+dRAHzsnE2WCo2ZUwGYM89XzZrCdTCF9OPU1FRpjRhl3KtkPpbnGRJY46gDrMnjjz8uSfroRz/a0675+fnEdgMfT7exrvJalzb60O2MhvWc5bl1tmKxTD8B8owYtJUxxiv+xIkTqTxs6LCZ5p3gtqOwUbB0kUnifeJ2csPk2m21Wj35emM7ut1uYuBgKvH4hRFk/nvsz5hP2OUK2zvsyxhv95zmtIHfp6enU7w9yqRfLl26NFT7ve9o++HDh9PfxFWkzfxOBADGkPHmukajkbyBmR+8G1yW6GfGO3pd0wc+7qPGEfS9RQTPZSyQaU52sAH/0pe+JKnoA+r/wAMPpL2MR1nwSBw+d6vmdD9Zj/pBZgQzMjIyMjIyMrYphvYadm01auEwWc4AsPtHOyKDwgc/+EFJxS56fX09aTicp8OKAM+BCKpYEte8fIc9LlQxMWgCaEloimQUQWNAQ/r2t7+d/qYM7nn7298uqWAV3Ut3M1uxUQH74VkbYv5jxtUZC3LM4uWM1oS9TMxdCUPK+HtsMLRkNDLPHkL9oveoe18NM+4x17CzbNFmiPrABNAO6oMt6Ne//nVJxZw4cuRI0mzJxIF9KePtXpHRYzs+c2JioqTVjupd5gwB7dy7d29qg0cFwD6S/nZ2OpYJQwpz5tlK/Pm0lWdgmzkxMVFrPzwo+pF5Z/Rd5rGDZbzx+KePLl68mFgl2I5BZZ7vVTI/rhiKbrfYbDZL4+tsM/3GGuh5Ws+dO5e8hpFtbKqIxwmDxnds4GgX3+fm5mo9tQfF+vq6FhYWSqcT1KXZbCZbb/di9RzTHgMQxqvRaCTZ8VipMEX8H+aPtYN+5/uhQ4dKcSxHiR9YZRPMWM7NzaX+cNtWQF/QN6yB1HFqaioxaIw/ZSHrbh8Nw4mM84zJycme+Uj9h0Wn0ykxb7Ev2NswjsgBedM/+clPSirYUoCX9L333pvGF9DmOi/hOrvjuM6Nmk1n6IDSdQ+emJhIgwTdy7UMLg0hGTWdxiDPzc0lF2uOht3RxNPKAF8Aq6jTcW8AQZxAfkziGxUmN0fHtOsNb3hDKZAsC6mHZdnq6GNcm0DKarVatUfwExMTaWFikrOQsUFk0jCZCLrMZL/33ntTm+kP2sbREN/95VwVvqMuzdawx2Tez7EcXzyYA75w8WJg8eJYf3V1NV1LmCAPDusbf9+URdn3l7PL46Co21Ds2LGjlAaQRZLx5x7+H8NeSBv96InYY2gZqTgWZxFFhnAy4Pp2u12aF8NuhupkHkxMTCQF1Z1/WPtY26gv8x2nt1e96lWl/mOsXObd+aYq3Z7L/GbHXFshrpPuMNNoNNJYULaHBfN6ejD9/fv3p80CawdOdVzjKeaYE34E3m63a4/wB217o7GRSswDYEeTl+jcJ5VD/7BxcScixurSpUs9zh5SYQ4BEUAb3dQC5Sg6ScRUe1IxXnXvyc2w2QZ6amoqbdrqFBbqwjpAX0THP/qJDT71pP4ow+wZGP8qmR/n+7zZbNYGJm82m2lMUN4IjUMyAOY7bafeBI1/wxvekN4FyISbl/i7pI6AiL+N4gwo5aPhjIyMjIyMjIxti6EZQf87al116ZbicVL8ZNeM1jwzM5O0CjRsNDA0HbRPD+ng36uYnCsJZw22Ck7p9Y6/bVX2oP8fFVWMZ1WIBsbOU41xL0cFMB6wPbfeemspcLQfbcawCPG5nvg+9oUHYh02hMpmx6y0DY2WZ9YFvEbTpR8vXryYGBYPIM1z0BiZRzwLhiDKkNdxXEfDIDJO1NPDQXlqwbq5u7q6mvrDDeLjcZJUyJIHnK46Dq5jBgfBZjIfwwbRVtrhTCxMIMwnLPj111+fTD+Aa/ccBTqzwjyrknmfl8MyBXUseKvVSvXw9Jl+1EldYDypy0MPPaS3vvWtkgoGEOcqxtVZcGS+yiGprq7DmArEsEGe7rLb7ab1B6clNw1xJwLYcZjiCxcuJGaIe/lOXzDfkSnYJtglHGc6nU7qB9bH6EAxzJyvuyeeNtS9y2KAc6kc7qbb7ZbG102BPEwM13nqxliHqjSIg6JqbxNPF+lnTrcIEM+4Uk9MVRg75Hrfvn2luvvcrAv95Sx4xKisaGYEMzIyMjIyMjK2KUZ2FnFtWSrbSThbgmaI9uLJlg8dOpQ0BDQC/of26WFF+kk8fSXDxmwFf+a47fdeLtTZKXU6nfQ3GjRjgU0JmixMoLvLHzx4sGTT4vZRlIV25PYWbs8jle0Jh7GXis+oQp0dlzOZHnQbZmF+fj7NAw+m7GV5kNWqtFJ1hsajosrezk8AnB1xuzUva3V1NV0Lg0KIBcqCQeD0gHGvSss0ioNEFfqReWc/onG4VLB6MEWsY/v37y8FlHVZwo6OPmJddVuiKPNe52FtBP2+GCSe57qxPm2kXZThjnPXXXddKg8WjPF1lpMyYL+BB9uNdRyWCW40GpqZmSnZukc7VNgtHHxgshlXdxqjDOTi4MGDqZ4eUJqTMkDfvPa1r5VUnI7RRxcuXCilvOP7jh07hnrfbfa+2sr20tdiXx8iq8ga50GpnfX293ysZ11axXG0O7ZDKvqcdJnsZRhDP6FAPkgHevDgwdoUnI660GlR5t05dti2Z0YwIyMjIyMjI2ObYmwp5iLqAouy80XDJcH4b/zGb0gqPLCiN1Sd/ZFrHaCKBfhhMoFeh7rfN6vjy8n4bYXIOki9NkPU3W1C+c5YeqiNyGi4xyEaoQcNdRakykPUbVaGZQJjuRFRC2OM0BhpO/VDftHYQQzz4LYjzgjWsd1V2nud9+iosuTPjuVRX7fJqpt3sV20DS9RZ8k2C5FUVb/NnjsoNpN5t9/xdJaDyLwzgVvJvNfnSsi82zrGiAZuy+hy63Vxm/AYnNqjKniZzKe6YLvr6+u1qca8v/pBo9FILC7Phv2ZnZ1N9YCVp20x5Z1UnH7cf//9PfVdXFwstdltq4HbYuKRGqMKwDQ6I7mwsDC0bay0+Ryqi0Tga4Ova91ut2R3Cdtat744exbnkV9bdUo5DKrWXZ6Bje+73/1uSdK73vWunns8FSqIjKbP983sMqu+x/leV+d+kRnBjIyMjIyMjIxtisYQ9hPLkk5emer8UDDf7Xb7CraU257b/iOC3PY+kNue2/4jgtz2PrCt2/7DPC7NyMjIyMjIyMj44SEfDWdkZGRkZGRkbFPkjWBGRkZGRkZGxjZF3ghmZGRkZGRkZGxT5I1gRkZGRkZGRsY2Rd4IZmRkZGRkZGRsU+SNYEZGRkZGRkbGNkXeCGZkZGRkZGRkbFPkjWBGRkZGRkZGxjbFwLmGp6amuuQK/lHAyZMntby83FcC1u3c9snJySvW9h9GLuiTJ09qZWUlj/sWyG3Pbf9RQG57bvtW+LfS9qo87sPgBz/4Qd/vuIE3gvPz83ruuecGr9W/URw9erTva+fn53XixIn0fZDEziQpJ+m0J4WnrG63W0q0DeqSezuqBKgqMfc111zTd/3n5+f11FNPldpMua1WKyU8n56e7vkfCbi5l8Tsnki+1WqVEsXTX9y7tLQkqUjUTf95ovsqcO3q6qpuv/32gdp+pWU+jvuVxqAyf/z48dpk8BEut6urq5J6E61HxLJclreaW4zlZtfHJPc859prr9203Ij5+Xk9++yzpTbHT5/XXj/qxXVe306n0zP3q54DfAzoX2Q//q+qHtdff30/zZa00fbvfe97pXK9rlX15Jl1MlO1bm21tvUzN+rK73a7A497XOeryq0bK2/7ZtfXXetlVfV51X1Vz5M0VNvryo6/142r13+zcraa9z6H/bq4blY9b5T5zjsozi8fE95DvPu4lnec92Oz2aztJx9nymaes4ZMTU2l+7wfY1k33HBD323PR8MZGRkZGRkZGdsUAzOC44Tv4KOGtNVxYZV2/nIgaixVGlqdRo6GcP78+Z7PZ599VpJ05swZSdLFixd18OBBSdLVV18tqWDO9u3bJ0manZ2VVGbBYOI2q88ox6/tdrukxfLsKm0MjQrQB/y+uLiYypWKdsZyuca1IvqPvtixY0dPGbEs6uYs48uJunGI/UbbXAvmk//TX7SD71dqLrRarVRPnlnFjgDXcPnu7Yiy5GPCWDHuwJlgtOP4bGcVRjE9iGX1U47PD2877Ypj7ePqrDefzj4y/+Mzve1897nYD+L6sdkpg3/nWmdFLl++3HN9lCvaCOra7v+P61AdEzkMImPnqHqWf6e+9IEzqo1GI43fVuyh/x7ruNX/humDWO5mdfC2+nxH5nzdj+WwTsd+kcry4GtKbN+49wLMLz6pd7vdTm3hfePrE//n94sXL/bUP447fcA99OP+/fslSQsLCz2f/t7vdru1831lZWWgsc+MYEZGRkZGRkbGNsXLygiyK3ZGgN1ztA+r0zL4nV0xO3N27y8HU1inscUze+qJ7cDp06clSY899pgk6amnnpK0YcwqFX2wd+/exAiiLe3atUtSmTFw+zg0l6hV1bV/WG25jhGM9fOyaRvsnjMb8XraQr+5xn3p0iVJhaYFy8Cz0ab279+f7nFbRGcXRsVm9n3OCAGfA2tra6l/+A1NkPrTj2iGYOfOnT3XXQnG0xnMqjngDCZyyqezuqDZbGpmZkZSWYZc4+Y7bUWbRg4jE+z1GgbdbrfEDEWWymW4Tsv39lTZxSLTbldIWXwyR6gHa+DU1FQtMzUs+rENdNnwNjqzwfXT09NJlp3ZoAzmtzNFbr8V7bh87R92/Deb096/zvhSf8aMenNq0263S+zWVmu1j0GdjeGoiEzwZqde/j+f57Tdf2+1Wqk/GF9/j3Otrwd+EhDHHWxmm7gVItvr79NOp5Oey//q2E8+aQ/vs1g+v/kadu7cOUnFqZczguwP2BfE59fZk27Z7oGuzsjIyMjIyMjI+JHBFWUE63a+7HBhQF566SVJBVv2rW99S9/+9rd7/oemf/jwYUnSa1/7WknSQw89JEm6+eabJSkxC9HbdNzsYJ09RtSW2KGfPXtWUsEIvvjii5KUvNLoI1id3bt3a8+ePZKKNqMVOWNQ520YGSGuqWMuBgX3oYlFZsu1OfqA8fc6OLM1MTGR2uD2M65x0W/0CZo2MtVsNpPG5CzyuBnBKlbMGT/gWiYM50svvZRkBQ3ayyC0Ab8jJ152t9stMeTjQpVtqHsJUz+0ffqEsXr++eclFXPhmWeeSVow9b733nslSbfddpukwl4W5qCOoVxbW6u1mxnWRtAZbL43Go0Sc/XMM8/0fOfZXOc2cXNzc6lNPlfpE+oNQ7B3715JxVp34cKFUlmUP0hkA0dkuqs8HevsIH38sX92+8iVlZWSLSD15R7KgImhfbQ9wtmjcTGCVeX5CRXjy1rHd++TaBtXZx+3lbd41Zj6OjNq2+tsgrvdbhpHxoh5zCfvd97hrGes9/v27dNdd90lqVjD6ux6WR/pK+SAMmdmZtLaX9dvg6DZbKayfXyWlpZK9n0u61zLnKQvfvCDH6T60g913sOsIU8//XRPH+ABTZ/ddNNNaT/kzPjU1NRA7R/7RjAaP/NJxyI4LHCf+9znJElf/vKXJUmPPvqoJOnUqVOpA/1oCEFAyE6dOiVJ+sVf/EVJ0q233tpznVQvZMO2bzN3ft8E+SLOUfALL7zQcx2OILfcckuqO4sdZbAI+tGh09XcF51ufLEZBuvr66Vj6Pjy8k0aAuzG4v4C43scJzZ0yA79duzYMUnFouPH5YRGWVxcTJuHq666SlLvxnqcG6S4OLpxft3xmStBjz76aFIO/FiBsB9sbOuO0aIiwL1+VDpMu+NLP/4G6Htegq4AuELoL7RTp07p61//euW1zIsDBw5IKjuH+Dxrt9slZxowzKao0+nUtr3T6eg73/mOpGJNe/zxx9P/pGKOsslnrBjLHTt2aPfu3ZIKswZ3kKB/2UjTLuSaOTk7O5vk381Lhmn7Zsf+zWazdDzGmFFfzF+++93vSpK++c1vSiqU+QMHDujQoUM99UNhdtKAlx9ygFJEWTMzMz39UNeOURDXezd7YK1jjaNP2KSwxsXQH+68VmfWNMjaPY5j46p3XDR5QMa/9KUvSVIKM8T4s6a5IsDY3XTTTZqbm5NUzAOvJ+sj8sv/+T1+573om8ph2r6yslLa7MXQMK7MuCKIHLh8RPLG12vAtayF//f//l9JhQwR8gzSa2FhIfX9HXfcIUlpPlUdmW+GfDSckZGRkZGRkbFNMXZGcH19vRQsmR01u+VHHnlEkvThD39YknT8+HFJhXY/NzenI0eOSCp2tn7MxG4arZNPNGE0xhjAsS5UwaCoO3qITi4eLgb2CwaBNqPN3HjjjZJ6j4bRIv3oyI8lYEXdZR2GgbrFsobRluKRqt8fQ0PwNyyJa1HIgzOei4uLiTmhTXzCoPLdj1pgVWLbYRGpKwxhVVidUVClQXt4Cz/mJUD1pz/9aUnSF77whVRfyoA9oE8oC60P7biKUYjHl1K1E0W/iP3lR1Crq6sl1t5ZOg/9wLjH44w6lhsZxnTCja9dthYXF1NbKZ97h0EM+Ozz7vnnn09sx/e//31JKrG6HIMz/z00xfLyciqfeY+cMs4wXLAnzCvYAFjTdrvdcwQV/zeMvG/mBLWyslI6FmOtY43D1Oezn/2spILVZ27s3bs3sR30LfOYT5gjymbdhCWnvbfddls6MqfvkaFxM4KXL19O6xHrDcd5jDNjxidjyufMzEytw4mvFe5IVXUiNc71rArMs2effVb/8A//IKmQbT7dGYi+8PAxs7OzaZ7wvnYTATdB8jWFtQ85kcos6KDjzpG/M7F8subEsj05AmPFHOWe+H/WI0+8ABvOu4G1hX5F5unXq666Kl3DSRnzZdD1PjOCGRkZGRkZGRnbFGNjBKMtQZ2BLMGTsQ1k14wmTEqUBx54IJ2DwwigTaJJfOtb35JU7JphGWESYb527dpVG05gGE2xyn0+froNGJoMjIFrjmix99xzjyTpzjvvTLYUzmS4MwjPQiNHW6Y/L126lDQmtzsctO2NRkOTk5Mld3m+nzlzJrUJ7R04Q0y7YLqo/4ULF5J2iaZNmWiKHoIGlgQ5IW3e1NRUiV0YR6DZiMh4uXG1hwCBNYO5/oM/+ANJhX3s5cuXS/egTSLz9BftedWrXtVzfVUQbZ+Dw9oM1d3XaDRq7SLdVrguRMzhw4dLoSaYFzD7bjfnz0ROpqenS2MR2zEoJiYmSs5FkfFmXiO31JN1iTGhPVX2dNSdcnkeBvUwAZRFH3FfNDZ3e9txBVV2g/bl5eXUBhgM6gM78fDDD0sq1jzAOn/kyJHEmGHvCFgjaA92hrwHOBn48R//cUkbax/zwlmaUec7Msb4PPbYY/rIRz4iqbBVd/t32B7eR29729skFev8nj17EtODnLLmURZr3XXXXSepODVizatyCgSjsqC+XlCXb37zm2IeAR4AACAASURBVImJZlx5t/De4R6+s24hOxcuXNCnPvUpSUX/0S/Y+DPvYQTpT/ospnLzIPP+vV/wjvNTvRi4nblHm6kXY+eOsO7gNTc3Vxo/mEBY5ieffLLnOw5zjP+dd94paUO+mXO+Hg56CpIZwYyMjIyMjIyMbYorwggCP1t3Ngz7FTTen//5n5e04SbtDBZaJNoR3mIf/OAHJUlf/epXJRU7dHbg1157bUlLHsVGsCqkQvSSdM2M3f7nP/95SYVLuNut0Qc7d+5MZbhLurvJoxV/4hOfkFQwR5R55513pjJusATUw2qM7hEaU+Z5CAVYWfd2RKtHs4w2MZ6WCobP02nxXMYSWYIZ3L17dykFX/R4HNVzPPZFZMWAM6dovr/zO78jacMmMLYzhkFwzRYtlPFFltC4b7nlFkmFfET7rVFsA0GVTWW0zavzHqUOsD7uwYpm/MQTT5TChXgAZu9z5KRKE+d53p/DeM5G+09nPFdXV9MzWK/8Ge696wGGz507l9rAOvXKV75SUsEIMgfoT2fesL3etWtXqo+H/RiVCfZ+P3/+fMmWDXYUb0fYb/D6179ekvSGN7xBkvRjP/ZjaawYP8qkP/nO/MH+0L303/GOdyRZcTZk2HF3r1Fs2j/zmc+kCBesYe4V7va9jD92kwsLC2kdBMgE99BG3nn//t//e0nFSQBr3szMTElGWXuHQZQVtwO9ePFiGjPewbQV+zTevbTD5+ipU6fSvbBewO1hmRPukU4d4/tyHOFjOp1OKSg882t1dbX2GTCAtPGJJ56QVLC7r371qyX12kN78PFPfvKTkgr2mznMfHnLW94iqfC+vnz5cirDU0gOmlIyM4IZGRkZGRkZGdsUIzOCVfYXbiOEBsvumJ029hPvete7JG1oiNKGZuRpatzOCNYLzQHtil012tLb3va2xIa5l86wNoLAbQmi9yQaFJoBsYGoJ/G+0PbY/Z8/fz7FyEPLoN7Y0aA5/uM//qMk6c///M8lFX0DQ3To0KFkNzOugNLuQYlNTLQnQkOk/gCtHpaUeFOwJocOHUr3olV6TCf6FZssrvPrm81mKeZcjN80DjvBaPvoHmb8D7vY3/7t35ZU2E2hsUX7WAKGuqcc7WAMYda/8Y1vSCrmAExIjKU37mDqINo+elol+tYDMMf0WrFOly5dSjLvMSd9HXAbXF9jZmdnxxJMGVTZBMf0h4wV8wxGAJmGDaGeeAIzZgcOHEhtZT1kHaQM965HLuhP5lOUaWdph0m7Fec0nzFdGP1Lm5FL9+wn+D+xXm+66abUB3U2iMiO24TxDPqPZ01OTpa8PcEoKcekon//9V//VdJGDFPWcdii6FFKfaSCNUMmYUkvXryY1j+fJy7jnCLhIf1Lv/RLkgr7yLhujoMJrgLt27VrVynhAacwnGohe1/84hd72sUafd111yVZ9wgZdekVPeVc9Mr2/YavL4Og3W6X9hywljE2H23hGuQAD3k+aQ/v5JWVldLJCe+ED33oQ5KKcYb5hRGkjMj2eUDpYe3gMyOYkZGRkZGRkbFNMXYbwahBx3hbUjmtGpoiNjHYNVy4cKHEJnlcJs/IwTPZTbMjv+mmm9I1MCbj0pLcNmFycjJp99jLwFCi1dEnr3jFKyQVWl20n6PtX/va1yQVthd4UqOhEtmdZ6KhRS3VY6mNEmMpZlmg7THyu2txsIV4M8MI8n9sHdBqrrrqqp5E2rGe2ATSrx67jnbGNGfIhNsMuTdpv3BmKKbWcg9ZmIrf//3fl6TkJQejQjvf/e53S9pgxRlnzyRDfyEPH//4xyVJ//Iv/yKpYFhgjGdnZ9M9npJtWFuxuj6IdmTRKzA+y9lP1/q/8pWvJJmP3v7xO3Lm8cT4HuOQcW1d6qlBsL6+XtKukbVDhw4lrd69BBl/5iJjS98wN86cOZNYQuodbb9iW33uuv3n+fPnS9lGRo2ZWpferNlsprawviOP2M3BFOExi5zCpnS73RJ741lhmC/0F8+k7fTdyspKyU5zlHGP7zHKgfE6duxYagPjiyzT5ve85z2SpJ/7uZ+TVLA/9NGxY8cS81u3dsB+wj6SmYUyOE2an59P/TUKGwZi9AuP57d37970XNha5hlzlXUe71dsBVnn77rrriQL9AvMuWdocbti5kSc2+Noc4T7EjDWJ0+eLDGBsIVkW4HVw5aVdrIvef7559PpAf300Y9+VFIxb2gjPhPsFaINOO2lzz1+YGYEMzIyMjIyMjIy+sLIjGBVjD60dLQ4bCtgczyHKrvZCDSEVNH/b3fOrhgNhTL4nWdGG45R8i5WoSrHsLShJXieTc8pjN0PHmDkD0S7ajabpXyFHsGdXT+xlrA39H5/6aWXEkPGPcOyYdTNPTApt9PpJE2Gtnh8Q+qCfSdehNHuw+08kAPKwOaS5xNbyeM6RdsRZwjcnqdfuPzQlzG7Bv2Dfczf/u3fSirGknb9wi/8giTpd3/3dyVtzAG3h3OWEzYEthvGAA/kaGPoWRXGxY5421utVqofv8HAMpa0w22gGNsXXnihlH8TT1m0Zy+D6/mMmSjcc9btNgdBbJ/LU/QohgnkmR7LzjOnoP0vLS0lhh+2gflLP3IKwpg6OxfbS/94rNFhx9+fFW11qSf1Z30HrG3YNnECED2EaRMMMPODtYx5z3ziXljTaHcG3EZwVHtgZItn3H333aXxhe1+73vfK0l65zvf2dMutx2NJz+8/xgr5vUf//EfSyreIYwtp0txbD3GLBim7TEKAvdHb17s+5B5xhA5gAkkviT/h72amZlJp4MwZVxLO5At4goyzrxjaOfExETJJnnUEwBnpyl/fn6+tO4w/sQ1ZuyoP3Iac4BjD804shYwnngHP/TQQz1t93V279696V1WZyPaLzIjmJGRkZGRkZGxTTE2G8FoD+QR5zkvh6Vzj1/fwaN9SPW2LmgjaMNoVey2Y6R3mIdxMIJxp0151PHixYulGHnuDUlU8AcffFBSoTGwoz937lxiE4kTRtuxKSHSOCDe2Gc+8xlJhWZ24sSJ9LdreMP0RcygQZvR8s+cOVOy72D8YQpgb++7776e75Gh497Yp1LhfUu/0hdojPQjuHDhQtIeY/1j2cPCmaEYt4/+/uu//mtJhX0MgMX9r//1v0oqGILooUm9kQlnpFzzRU7o5/3794/E/FbB5SVm+nAWpy4jDmC88Zo8c+ZMqi/z2LNp1OVsdhvY6enpUj7fUVkx2ucsQLSlYi3z+I3MD0AZyMnS0lJqK/+DVWBcWS+JfoDcOVPYaDRKmQ+GZQi4x+2laFe0h2bNc7td5ibsLvfChC0uLpY8yXkejApxYrGPg3m7//77JRUs+KlTp3ryy0cM4z0e2WPGlmeePXu2lPUDO3fsIVmP/DSC648ePVoaG4+/iUw7++iZbiJj788blg2tswWfm5srlYlNI+wtn5xgsJ7BFB4/fryUhcpj5hJ3j3mCPwGyVNW+cWQOq2ozc/j06dOleKDMUd/jMDd5T91xxx2SNtZ7Px2if7gG+1KYV8D8ijFcI8sqFTI0qG1wZgQzMjIyMjIyMrYpxsYIgrW1tbSLh5Vzb2F2r+xm3e5seno6aWEeny16hUoFg1AXd+j73//+yHGkIqKWgeYRtWV2+2g6XO8aAt89S8hXv/rVpP3ChhFPCJs6tEraSB/guQQLee7cuaSFYW/gdg+DwpnFqMnzP9qCXYxHi8fTD+0F7fDixYtJNug/2FHaAVNAWTAEMAuUuby8XPJa9VhLw6LObkoqtGHG0CO8wxxQ/5jH1L3wPDOGx7eirbCOsKZHjx4dS0YRsJWs0J/U15/tDAbtjBlnYEfcW9g9tN0W07OIxOfV2fIOgphhwj2X19bWSm1FHmGE/PSDMQJTU1PJzpV78SaEGaSN5GPF5s4ZEORDKq+pw8ZUdDY1evO67SpjRjuY56wRznjFWJ+UT1l/93d/J6mwsQXMnwceeEBS4Yl66NChkpx5GwZBlV0sddy7d28aE8aOUxna7s+kLI9tKhX94l73nKgA+pH1H8ao3W6X1plxRQlwhnF6ejrJNvXk2az7zhDzTozt5G9k1qOEkD0J+0jWffqX+RQ9z90+dhjEfvS502g0etg4qfByxn6ftt59992SCmYTVnF9fb3EfiNLyDZrBmXx6dm1Wq1W+h9l+WlIvxj70fDy8nIaVAwoWfCZBNC7dCrXxwC60RhUKg+Khx7x4xuo5h07dowlkDSILwbfCMSFmLZgaOwvdYxkaR9u5x/+8IfT4HLsce+990oqQhP40Ru/s4mKCyLHhZ7Gatj0Oy5osc2eLB0Q0oLJ6w49vBwXFxdTW+hTXoZcw7E4LvUsSp4OKL6kfXxG3SRVpRlivFF63NmJ8SecAMeibBxffPHFtKFn448ss3ECjL+nseLY/PLlyyVD9FGDK9fJfAym7dd48nfa4crcxMREkkvmC5sK39RRNn3gzhjNZrNU/qjHo74ZjQs5f1MfXtJsgnhx+cuecTl06FC6BxnhO2sCLxkUPUC7WOsOHDiQ1g4PBD1smjV3NoqKpKd08zWbjQxzmLnNXJmZmUn18wD8f/InfyKpkBlerDhZ8T0GIvZxHyWsSHTAADxrZmYmvcN4aTPOvtYwD+mbqLB4kG5P2+mpOZkbhByLDjYeQHzcjpGM6fT0dJIlzFrYEFJP5q47N8V20Bbajqy4oyS/k5oPGWLdv+qqq0pByL3ug7Q1mj/58erCwkL6DbLFTb88TBtywHq/sLCQ/mYPwB6Gez0EHTLka93+/ftLZkQeyqtf5KPhjIyMjIyMjIxtirEHlF5cXCwFEmZ3j6YA4wGrx242aq9+7OFsHjtzNAt2za4Rzc7OJm1tHKg6Go6ftIU20nYYLTRc0oPBIBEk+PTp04kJfPvb3y6pCCTt/YQWiOaAhkF9VldXk8bqR8LDpt/xYOFoYVNTU6VQELQDTdeDgcN0UO/Z2dmSMS79xnMxQIdGd2YyHlO5o8EoYUSqEDVODyjsR+dofRwVwF6QYLzdbidHIj8W5RM5RismbSGaJHVYWVlJZYyDGYjsSFVwZTd+9iN4Z6WcZZqYmCglT0crrjua9HBIMciqa86jHBVFhwlkPvaFhw/hqJB1iXthyz2A7lVXXZWudaaXYOMck7Ge4hSGHFDm3XffneZclWPLoGg2m5VrHHV1Fhe2Hrl85JFHesrjKBPZPHLkSFoPmTd/+Id/KKlggjzcFk52hNSIrPM40kaCyHTHo2xpg43ytjN2yC9zwtMrxvBHXIPsuqmHp5ikL7wf47oMRgkbVZVGNZp1uUzh7ES9mW/Ul+s4GbrllluSnAJknPcicsG7jVArMIGw5m95y1tKQZ5HZYL9PUs5u3btSowl86vO2Yn5ThpYQnwtLS2lazjB8XEm3F50Uoltpl579+4tpWD1kFn9IjOCGRkZGRkZGRnbFGN3FllZWUk7WM7C+U74Awx9saNxQ/Gq9D5Vgaulgk2CCXIDzAMHDowl5VCEl0NdZmZmksaCDRAMgbvJkx6O3X3UlkgyjfZLv7D7R1tCo8SFHZs7fj906FC6h+ejPQ3bbk89FBNo02a0IQ9/ggYLG4IWTeDZa6+9NmnaX/3qVyUV9kVo3oRwQCtGO0Ubpf9jOjzXksbJHNA+D4TqoQFoI0wm483/9+/fn8JfuG0Nn8iBO1KhCcf0Sz5O40YMeeG2Tm647PZS/J92rq2tlZghZMbnrhuGO2PR6XSS1u72sMOGTKqzPWo2m+l/MILMAbfjxeidPqJ9ExMTiQliXCnDU8xxLywybDnzanZ2NrEIsDRgVGcRv7/RaCR55dQhhsCSCsYDtoc+gSm67rrr0juAgNH/9E//JKloM/ZwOLsxb3gW47+2tlaaL7GugyIGz/cwRPPz8+m5dWF66hx5WP9jEHrgttPR/lEqGCHWPOQmBlUeFwvupyh8xvkOG+ZpDakf9WethjE+evRoySEORyj6h9Mi0q994hOfkFSEacH/4Prrr0/9SNDmYd/zBNJ2JjCeVnhKSeY9p3asPex5vvKVr/SU0Wq10rvMT1DcKcRTpMb3Or97n+eA0hkZGRkZGRkZGQNh7DaC7Xa7J5izVGhD0VtM2jycR51tCpoYzMGnP/1pScUOnbJjIEffYY+LGfS6tlqt9Hy0E0JBoEmgKQA0eGwKb7zxxuRZ6rZOaBt4KhFS5Wtf+5qkQpuCDbjtttuSLcY4womsra2VUn1FzTPaLkjFuLvNhQe/REM6evRoagOMICEJPBC3M5uezmyzZOTjDCckbWhmsJxov9hvUR8PocMnbZ+ZmSl5yHs93TMQ8B3tdGZmZqyJ2CND4N676+vrqe9j6rAI1gG0f+QhMp+0gXnNuLvXotsd+rNiiqhxjHMVQ8DnzMxMmpOeFtDnSRxnqdeus84zmjJg3FjT8KCELY+eqG6/5YG4B0G0j3RMTEz0zFupWAve9a53SSrWPtYp5AP2/oYbbiiFW+J/zO/XvOY1kop1MrZV6u0rnz+jyr6fIHgKxfi/yExKhTwgOzGIttSbTpNTLezgsBuHcYXxhXVinruMxeePOv+dYYzvd7fF8zR0MNrILfLBmDYajVR3ruUkh/piC87/YcE9aPXJkyeT/bUH2h82SgDl+Dtl9+7d6Z2FPDKevJfoE37nfcaeaOfOnT2hZKRi3JFtThFh/vyEJZ4A+KnBsHuczAhmZGRkZGRkZGxTjJ0RnJiYSBqA2/GgJfHZz+7VNS122HjOYTsQY+tI0pve9CZJG1rIlQqu65pHq9VKWpHH/HOWlOtg/9AS2u12shHBxhIQY4t4YthLoGkRaBZ7i6NHjyZGEC1ilHhyrVarZDNEe7rdbtLqeBZg7LiH9sGKYTM0Ozub7B2xDQFvfetbJRXet2hplO3tW1xcTIyFe1COG81mM40nsk+/o+3BHDGmjDf3tVqtEpPlqadgk/Eqow9gIXnmnj17kqY4DpuhqhRW9OnKykpiQ/mNtjojR1s9LVKMRel2Mm774gFdQWRmkKu6oL6DIHpMO7sW+yXGr4xw9huWBDmem5srsXiezs3ZGeyhWVOw0bp06VKaS55GcZjxrwqqHNNBUh9kmXrQB7SVuiD7yOs999yTTjf++Z//WVLZy54yYp1ieyJL7gzVqPax/n6Kdl7AZcy93T0mXTwp8FSczGuu5WQHVgw7Y9b7aIPt3vSjsmJVAcSljT5A/nwNZv67Nzv1hCWbmJhI40t9XV7pA5/LtCdGzCD9HBgldmY8AaAOzO3FxcXS2sU7j5MM1mDaSp/E/RF7Ak69WNeJTYktqI9z1YkR9fB1J8cRzMjIyMjIyMjI6AsjM4KurTYajVLsJICXG+f9sCfO1HS73bTDRfvAjgJ7OOLuoamgCeNxSzq2ubm5ku3AKIhasmse7XY7PQNNgV1+9PSJwDsKD7uVlZWkidA2mEA0R35HE4cJJOE5tkQzMzOlDAyjpOGJbXdWt9VqlWzAXLPy9GBoPGi8i4uL+pu/+RtJBXvg2rB70tV5y83MzJS0MTAuT9qoNdNmxoQxYMzQEIknxXjAjkQPb2cTYH6IsYX9HHKANx7a6PT0dEmjHxc83d3S0lLJ4zfGSpMKeWAskQe068nJyfQbMgF76PZe3h4/dZiamirJwqiZhKrsEKmb23mxbsGSsi4Bt++K8TfrPFDpR56B7Z2n9pueni7ZqDH/R7WXrJpnMO7IsrPF1I85wXp/3333SdoYa+azZ8Dx5wH3tK3yjh+3DXhVlpY6lthjTXr0AGR+YWEhjSfxFhlXGDVfS1jnkSHmXbvdrrW3HzaWnvd/jA4R03jGNjszyPoE4xXjBtdFAfEsRI8++qikItUocyOmcPVMVqPEi43Mssc2bbfbqUz3jGYu8J7n1MvleXp6Os1Nxhu7WL7TdtZz2lyVSs9jXPK5srIy0HsuM4IZGRkZGRkZGdsUIzOCvqOfnp4u2X651vxHf/RHkgrNBluI6OlE3C2i1GMTCHOGNsIO/I477pAkvfOd75TUm41jnKxIVf7NqM3Efoj1evOb3yyp8AijT2AE0XguXryYynCPI7QRj6lHBgI8a+nXmGXB7QuGQfQadq+0TqeTNJk6e0S+4w3n3uPPPvusPvWpT0kq+hR7CdpWFwvQ7YJarVaJWXFmclxotVqpDdhJ4UWGDRSaLflj0Ri57nWve11iRQDjz72w4LCMMCzYhHo8N2k87Ej0xPX4YlVzy+14nCn2Oh05ciSx3qwZ3OPxBD0CgUciiOV7rtBhGQKXY545MTHRk1lHKsaVtY6xQi48R/r09HTJrou1gTWONfBP//RPJRUnK8wjmIObb745nUR4fvVhWPCq/qK9CwsLpTiNbrdHv5EXGKaLtne73bRWuHc9axhlYafluaZjdpq6mLPDjHtc56vgaz/1p09gw9zGlbocP348zWfiLCKvtB0mkIgS9FtV7My62LbDzP+qtsc4gsilt5HTO+TTGS/ehYcPH06/+XMo45Of/KQk6b//9/8uqWAV3ft+7969JfkbNYZq3TxcWFgoZYipy6vuOYljtABkmj0OJzzuR8Cpgmfs4vvS0lJtG7PXcEZGRkZGRkZGRl8Ym9cwO+Pp6emkoWLTwO6eXT3R47GXwnOW+zqdTmLKyDXo7AI2Y+94xzskFcwKWhOaZvTGfDlsR/w3tLvXve51kgqbQfoLTzHYn0uXLiVtAjsI7MhoO23Gk5b+c9av2WyWbAe87oOg1WqV4qWhnSwvL6ffPHcm9Y75n2MZ2Hg8/PDDSYPiWjzC0Iac4fCsFvw+NTVVimPoXmyjIrJjlAnrce+99/a0jXYR++2zn/2spEJTvPrqq9M4wybBgr/vfe+TVLBLMIfkooZxQVtutVpjjSMYy3Dte2ZmJrXdbVhoG591cTGjJx3lw5DTn5QBQ+ifMbaf2yaPK35oZJ9op9v3wYpjB81YwmwTH411YP/+/YkFpQzklmwb//t//29JBTMMq4gcYCN666239qzDo7a5KoYic6jVapVsGL1/qB+nNl6npaWlJNOwIfQFDCpyEW1SpWJexZzOnv91lHGPdnJVMdp4FvPATxlYz6OnrFTIw4c+9KHECMIMcTL2ile8QlKRVcVjkjoT1263a9f5YVA132n75ORkkgnqg0zA5pH1A0aQtY93+tLSUpofjBXRFVgXsZtkjaAPkA8+Dx8+XBtbclhGkL0G/Ruz2LAfcTtnj6LByQDyHd+3vNcffvhhSQVj6ieAlEVb6QtkLp7GuF1jtGPtB5kRzMjIyMjIyMjYphg7Ixhj6b3lLW+RVHi9wgRy9o2mgIcoefnI+ScVu3K0SuID/tRP/ZQk6a677pJUeBtyffREHoeWVAXP9SqVmQo0AWcq2fXDZL7xjW9M13m5aJUe1TxqhFLZBivmSR1HtP1Go1Gyu4uxtZw18JhvtN1tMNCyPvrRj6byaSOZBXwMvZ+djVpZWUlsgkeKvxL5dyNDJhXyyhxAayXuJdoxWuAXvvCFxCbhGY/WDJOO/Reygo0otmLRHmmc7Hcsy7MsNJvNxNYy7m735bmy3btwcnIyjRXlszYwT+hX9wSOnsfSxhzgOW6/OCwzVBffsdVqpXUHLZ95zncYINZAPmGydu3alWSF/mPcOTGBMeAemOP3vOc9kgob0euuuy7Jwrjgfcbavri4WJrnyDjj7cyF21w999xzifVkzBhPTlKYH9hRwYpgDxvr556zo2aYqfM+XVhYSM9Chj3KBcw/7zbmMBlUvvjFLybGB+aU0w8+GUtf20B813kcvlEyylTdH+cU7BwsrbPQrNm8t5Bf+uIf//EfU5voF/7HvAE8C7aUsjlxueOOO2pjZw6DVqtV+V6XNsaaZ/DOom0+7zzuMfXvdDrJz8HfddH2j+fF756RZG1trTZCwqDjnhnBjIyMjIyMjIxtirEzglKh1eHp+Zu/+ZuSCkbjIx/5iKRiV+0a18zMTLIReeUrXymp0H5hBNGOnQXzDAjjtguMzwCR6UDT4dO9H/mOjRDaM4xHjLHkmSXQMtAQ6GePZxjZGrcVG4UNW1lZKXlJRZYPDdczIqA5ejwktHuYj2PHjqV6ovHDQHhuWeoR89XGsquyIowzB62X63LnNoPEt4QxwiYm2kgRJxAWCRnHA575BMtITkr3TBw3Ixj70efV9PR0+r/n34Tl20oGjx49mu6FYfN4fMgB84c2Rw9enuW5xava0S+63W7pvtgHyD9jUVc/GC08KrENPn36dOov1+o9/h4sCF6keGEiH9GDEowaQ9ER7f9gQ1jbaAfrE2CN43qyBz311FPpb49zyqfbiEWbwFifGIvS6z9MH1R5i8e1JmbakIq2wwTC6vIJy8/cXl1dTcwu4wmzC8PF83mGr6fMr4mJiZJd3LjsI50V3blzZ8lDlk/PukG7iJTBWvfoo4+m/vBYhMx/WHLsX5Fx/A4eeOABSRvMcVUc4mHa3u12tbKyUrK1p5+bzWYaP+pJ/WE0mcPsdagv3/fs2ZPK8Ggp2BG7jSvPYNxj3E731B/2/T62jSBoNpulkCUYvSIY/+2//TdJxfEPdHBMz4ZQ8ckk9OCl/5YQnQZ8YfONTHRqkAphiO3yicanu7A7KCtuCOo2RYO2D/iGbHp6Ok0ON5x2Q1Y3DSCBuFS8NHAcoizuqQpbE+sRA7rWufoPuxHsZ4Hx8CrMARYCFBte7iwKTz75ZJIFX4C4lo0gSpI/K9bzSihAkkrOA5uF7WCRcqNy6stG56GHHkoLvSehR6Y8bSFlsGbEECwu86M6TNSFYGm326X/cUTk486GhyNP2nX27Nkkn27KgBMYYURQjug3T3MVw9m4jA+7IfDxjkfytJG56enVUAxxGkD5Yb0/d+5c6g9kmo0yGz/azCdz2k2HYjD/ca11dX0Yg5azwY8BjqVCDjj6dLmYnZ3VDTfcIKlw9kL22TB7yKRIFsS2V6W83Vy7qQAAIABJREFUG4UIieGiQFzP+J+nUaM+yLY7TLIpuv3225OzJ7JBulRkGdlH+fHg+ayJVZtgMOimiHBr/v6K7ziez3gzZ/nuAacZ9+jsiCyT9ILwUJTlzi/c63uJycnJkiOkK0P94t/ebiojIyMjIyMjI+NlwdgZQanMUPiRIFo8WuBmO/c6tmGcATSHRdWz6o6o69z7q4JTO3vomqm7twNnSzfri2Eo5EajUcvANZvNxNpwnONHg1zrydZhATqdTjoyjwE4Y309bVldSqdWq1XLwkb2YND2bwWe4WPnR9cc/8ACHDlyJJk9eH+5k42PuzOJVfUZ1UnIy4nfYziVWH8324hBaaVC07355pvTsYi3ETlgzQA+B+JxVR0zMGoSehDZ6BgKJdaXT47/YH9g97h+YWEhsQbIuqehdBactnMffdPtdsd6RBjvc7OKRqOR6kV9XU5Z3xlbPmG8Tpw4UTpahS0hzA7sErJCWz0YfWyrY1iTgLqQW/G0wcMHwX4xFzjKdpOBdrudrsHBxJl0PlkjkBlkKoZIA1u9J/vBVvfUpX10kwxfK2IqRNqAmYszWTyDdwVt9VBEEeNY67rdbmm/EkMFIeuw4J4S04/J3Ynw4sWLqX7INEfEno6W+U0ZntKRuSMVrDEY1HEmM4IZGRkZGRkZGdsUV4QRdGyVBsV38J1Op1Z7H5emOyyqnBDAZvZE7N7rbDiq7P38N8rwgMjOCEVWYJzBdNvtdklLQtNZWVlJmgvakTMY/J+QILAA2DzdfffdpcChaE3Oynhga7dlWltbK9lhxjEYdwiZOpsafw6aLHVBc4x96+Puaazc/rDKRrCuXsOgKnxMlT2W28U6E+csKbITg5860+cOFJ7SraqOPsfAsKE0NmMSGTNYGw+uzL2wY2j1kSGmrcg0YYTcWJy54LZEcSzoP7fLHdVWzMeyijnxQMOAe2A+mO833HBDahsBeP3UyBkgd8arWuuq7IXHgRg6i2d46J/I9MbvyCs2cK1WK8kC10Rbz/g8ZIu10edGlTPXKKkFN3O0i8/1MFGMP231eRiDUgNPCOCOhTBuHpR+s/k+ijNgZFfdEW1lZSXJHXPRQ7y4/WZV6CHmL2XgaMY7ry7tos/F9fX19A7lHk/B2S8yI5iRkZGRkZGRsU3xsjCCdfZ8daxJVfiLl5v52wybeadFb8oIb+tm2ovbk6FluO1QlX1h/KwKhuv39gs0btc00IQnJiZKCbedpeN3Qqj85E/+pKQi/d7p06dLtjfY3EQ7KKnsUecMzNraWtIinRUZVFsaBHV2Pg6XD7f7k+qZqK3GbtxzJcpOlY2g932dHSxwb+7ohelMeZ0HsJe5WR3r6tEvNmNBnQWhbT7fYlvj/2OYEmQApsD7wteMqn72oN2jpNuq8sCOfeFMNfC2x9A+8bPRaKR6whLSf842VtXN4f0zrnlQZXPqtqx4ufJsEh1gAwdzhCd1LIPyYQQ9aoCz4pu9G32chrGLrWJXq+THx9PrUIfobQ9Yq32u1dm7V60/jmHecZH1cw/8uC+BzWVe857ycC7+7tmzZ0+J7fb0mj5fAM+KZfp64qHb+kVmBDMyMjIyMjIytikaQ8TaWZZ08spU54eC+W63O7X1Zbntym3/UUFuex/Ibc9t/xFBbnsf2NZtH7fRfEZGRkZGRkZGxv8/kI+GMzIyMjIyMjK2KfJGMCMjIyMjIyNjmyJvBDMyMjIyMjIytinyRjAjIyMjIyMjY5sibwQzMjIyMjIyMrYp8kYwIyMjIyMjI2ObIm8EMzIyMjIyMjK2KfJGMCMjIyMjIyNjm2LgXMNTU1Pd+fn5K1GXHwpOnjyp5eXlvpISbue2T05Odg8ePDjS8zyP5CDX9HPvINe93OPeT97bUdveL4YZ97p8u1V5TuvyAG+WP7jfe0E/+YSr/pfne277Vshtz23/UcAgbR94Izg/P68TJ07UJomPqFuk+Z0kyiRXjgmz/dq6hOJ1SbG5rtvtVpZPGddcc81Abf/e975XW6dms1lKuF738h7m5b7VPfxOv8aE3FUv2GuvvbbvZx88eFDPPPNMap8nt6+qE9dQ74WFBUlFYnn6jzJi3X3MuIak3nXJ1EnuPjk5WRoL0Gq1Bmr7/Py8jh8/3tOvsY6dTifVq07ml5aWen735ODdbje1kf9Rf9rEM/g/4L7Ynz4vo4xef/31fbf94MGDOnbsmJaXlyUpJTmnL1qtVnrWysqKpCKBPM+8cOGCpGLc+aTMRqOR+mfHjh099168eLHnd57lssPnzp07U93oN7Bjx46B5/tzzz030kZ83Jv4UXD06NG+r61b50G32y2tg3XKwjDYSnFyud5MmZCk6667ru9nb/dxj+84PuP6VqcM+j2b9UFdGfG9LZXnO//nk3rVYdD5fuLEiS3lOqKu/nVKb9U9fi/wOefv91arVZon8fsg77iBN4J1laya9N6RdR0MaGCz2Sxd63CBqduYNhqNnnL9OaPAn7m+vl67YPkmwvukqlwX8rpFZZBNed3C3i8oh5csm6H19fX0G5sFnsULnw0M11HPuNHxDZV/93ZQNhsFNhmdTifVLW40JWlxcXHgl1Sn00l95huMVquV6sEz+VxcXJRUbIp9slO3iYmJ1NY40WOb2Cz5BpFncX1cIKpkdBB0u92ee2gnm71ut6tLly5Jknbt2tVTfzaAs7OzkopNHRvG2E7fHPLdN5W08fz585Kkubm5nuviJph+oZ/Onj07cPul0V7m/bC7W7Gt/bCxVwKxr6rqMGh9q1C34dtKga7qg3Ez6eMc9yr8W9osRsSxrdrg1L1DWMuYd3WI7/d+CR9XdiNRULcJG0YRqdqwgfh+36x/qsqrKtfbzNrma1TdBjHWp+75/SLbCGZkZGRkZGRkbFMMxQhuRvXG3Wud9u2/V7F/zqTBrLhmwC46HtNJvcdndVrkMOxARD+2TtQHwE5cvnxZknTu3DlJ0uOPPy5pg/WBSaFNsB6HDx+WJN18882SirbTJ7t37+75vd1ul7SazVjDrdButzc9AnUGE6aINp8+fVpSwfq8+OKLkoo+OHz4sPbu3SupYHgYR+rL7/SRa6Vc32w2S8wv9RiGDY1jC1sVmUbvV2frgDPZXL+wsJDqyydH6bBfjK9rf/QJ/2+321seVQzS7shWgsjmuSZLfemfb3/725KKcT958qQk6cyZM5KkvXv3as+ePZIKNpl7KXPnzp2SpFOnTqXnSsVcgHWM/e3z4+VkXvwIi0/YUNazbrebZAe5gj2mv7jHxxAG1tfCcaFqPYtrtcuWr3VuAlTH9sc21B0RepmxjvxedxpzJbCVPa/D+2Z9fT39xngDPw6te39dqfZVsX5Vp3h+6uCnHnz6O1sqm/jUMYGOqv/Xna4NwwhGufY2x//V7WFcfmk7c3h9fb00X/nkXv8deJ90Op3U5/3KYR0yI5iRkZGRkZGRsU0xFCNYxaRV2WrU2XXV/T86CriTQJ0tgRvjwwjw+8TERK3R5zAaVT+Gr1Vt4hMtH0br+eeflyS98MILkqQnn3wysQWwILfccktPmTAHXAcLBity6NAhSRsMUT82if0iGvV7P6+urqa/aSP1gwGCAXz66aclSS+99FJPO2dmZnTkyJGe8tF40KhgFd2x4gc/+IEkJWZpbm6uVqt17bwftNvtxPLB1EWHmTp5dVvGOoaw0Wik+tEvtBmGDQaN79hF8nnjjTdK2mCKIjMq9TrdDCMDXn/KXV5eTn8z3tQbmabejD/tg/2bnZ3Vvn37esrlObSVcYdl5t5jx45JUpIbZF8qa9huK3ol4Pab9Alg3jOPIvsCG07buIb5Q1n0DX124MABSRvrgrMIo9ihRVa9n/XD5wDweegMSPx7M8av6v9V9mqjrHH9ot/+dGYzMkN1DKYz7HV9UtWPjmH7wk9Noo17nb2xM9h8ut3vxMREiQV1B7i6+m92wtGPc8dWiMyyM5mxvVXsnFTMUd+X8Pvy8nL6H+893tsu6+5X4J9xfsb6V9VvK2RGMCMjIyMjIyNjm2IoRrDK/mozVgz4DrfOxmRtbS3tpGFf0LD5RLtgV+3hTGAOdu/eXWuDMay2tJXWKhXaEPX19jhLAjN4+vTpnn6I11AW37GXwhsTNuS1r32tpA13eFzI6YNhvUeljfGp0+7X19dLmiD14pM2PvPMM5IKFg/bx/X19cQAMb48j7byHTYETRI5QPu8fPlyYk64xu1IB0Gj0ShpclX2sLTdWTL3mKbfqO/y8rLOnj0rSXr22WclSU888UTPJ0CDxCbw6quv7rnvmmuu0e233y6pGPdoQzewtthspnbBVlFulAlknLnHd+xhjx8/LqmQa+o0Nzf3/9h70x/Jrvr+/11dvff0TI9n8TA23lfwvmBjY2NDgJgoEBREJIJEIiUPIkV5mL8kTyKhKJGIQlBECCRBAgewjfEK3jD2eB/PmLFn37qnt+r6Pujf69xPve+9PV23GuUX+ryfVFd11b3nc87nnHs+7/NZSvrEXDp48KCkop/wi4MFRQ/ou5GRkVKamsigN2UJpLX9cNwnyOc97WcuxMhzj4SG/Xz99dclFQw6zB/j7f6yIyMjPWxBbHOTta7T6azL785ldubCo9pj2+quX8cArsfHeaOicddznTrGyvWBOQC7OzExkeYv+umnBeiMp55i3KMveF2/NO0Dlz1mNEAm2oXevvvuu5KKNe/555+XVKzdzNHFxcX0XCI37WWXXSap8Icn7Qt9xLrjPtjtdrskY50f+3rQarV6MjlExMwRfIdniT/v8Xvft2+fJOlnP/uZpNVn4I4dOyRJt9xyiyTp4x//uCSlz318/UQ1jo3rTF3k8fnQOH1MXVqPeHzIdzyFRl2oOJifn08LJhsnlMidLwEPiPhw4XcoEUoFzhfmXoUqp+TYfmRl4vuiSFvoG76HXDt37kwPcSYDR0Yo109+8hNJ0o9+9KPUJknpd8h+ww03pD7/0Ic+1HP/JgET3W63tEGLY8mYISsLBEeETz31lKTiOI+++uhHPyppdRKxyWXcWURoN/dn/DkSZGPN944dO5Y2bPQHbW2yGVpcXExj5pu9lZWVUnqTmM+Q71S1n2ucOHFCP//5zyVJv/jFLyQVC6sHjSAHGwI2iujLK6+8kjaF9957b899645gzic7c4e5jXwjIyNpg4/sbPAZu5deeqnnc/ritttuS9dg84hOHDhwoEd2jpNZLMkLx5zAJeCtt95K3+FhE43HQdxBqgxAZOGB4O/5ra8LyNXpdNJ1mT+PPfaYpOLhwW8x9L7whS9IKgwoNsVV+SMHdYOpe5h2u93UXnd/8aAXd81YT5vqXIHi/aXqFDd+jaZYzwawzr2JceYV/WUOb9myJc1F+suP1pk/zAX6AL3mmRcD9dCFQWSPG3Rf57vdbjJUWGNYzzFYnnnmGUnFphc5kHdsbCx91wOerrvuOknSrbfeKqnYJJHo2fVgYWEhtRHZBz0arnMhGhoaSuufkzV+DM44Oxly4MCB0nPP3Um4JhtC4AF0cSPoBnq/gWP5aDgjIyMjIyMjY5OiESMYKVK3wqJVyu4YeBqEeD1+K62yI7AhWBscK8H8YFHDdEExQ7eyM96+fXv6LoA9aHI8WsUIgnPnzpVSJTi1Tn9hITpL9pWvfEWf//znU9vjNTgC4siIa2F1woDFowS3bgZJpr2yslJiUbnesWPHUn/SHizHZ599VtJqIIxUHG1fc801knpZSn7DkSA6A9ML6wXL58xwPCbjulhjjHtTa9ktxHgsgFVfN+51DsiwpT/4wQ8SA0Qf0H5k9YAjmDiOR+Ox6aFDhyQVbKEHY6wX3W5X8/PzyTqNR8LSqt66IzzsPXMW1g5ZGXfGZWRkJLEH6I67IDB2vDJ/6NfIGEbmVyqOnQZNIF91EuBHgV7VhLkIG/ryyy9X/l8qXCZ+/OMfS1IaQ59X//Ef/yGp6D9cQSYmJkpMQJNTD1DFBvLZ/Px8GmfvF3fJcLYMVM3DumS6dYER62EEBw0aqLr++VKV0AeeLsjfR7gOsZbBCPI5c5l7xpMuT+rcRPaY4sTdtk6ePJl0GNYLxp8UaKxLMIFc68orr5S0ymiyjnAN5i9s+BtvvCGpWG/uvvvuHtljpSnWQ57zPAc3Kr0O/by0tFQ732NhBalYszm54Pn+/vvvp1Ms+oPxq6uehM7QDuRstVqlU1Zvx3qRGcGMjIyMjIyMjE2KRubi8PBwySeG3ffi4mKJ4fPds1tP7OhhAV988UU9/vjjkgrrAh+iaJFKhc/Qxz72MUnSRz7yEUmFNTo/P19y0F9vncIqrGXFLi0tpd06u3tPsumWD3LiCP6JT3wiyeS7fVgZGA5qSOIr9pnPfEbSqm+gtMoQed8PmlDay6tFBgQLFkYLFgRmiFcsIPw/PvnJT0pa9ZWBGcKi4jfIzufuX4PVxJiePXu2xKjxnSZ+clHnGY84Pq7r50v0iV5/61vfkiR997vfTYwP/ULaIPxj0C0YYRgjd6geHx8vOVc7U71etFotTU1NpXvT/hiUAzPliaRhBLDufTxg8YeHh9Nv6TfmN9/1ZOm8ejojWEepYA/rUvc0RfSX8rWO9jAXXnzxRUnS008/LalwHqcvrrvuujRf3JfSgy9g4MDDDz9cku/yyy+XVKyLg8gcdded4V9//fXEAKHz+Cxyb9ZALzHIicDs7Gw6JfAE8ciBXyRzgTH1euWxrKKnIBo0TVhd0GP8Xt0897QizKOZmZnUP3UJ2dEHTlRID8X30KHYPq/JPmiwiAeCHTp0KD2nf/3rX0sq5jlrN3pK+xjLm266SdKqXjAP6A9ODbgW/oe8p/8eeOABSYVOxVPHujR1/cJP0aK/qvsfegCi+2LTFta6HTt2pGeZF0+o01fawxiwXrRardQPwK+1bpn7+nZGRkZGRkZGRsbvDBqZi8vLyyVmgZ15LMPi6USwVrAUsAKwmv/zP/9T0qol5AwBlqFHZbE7dobILSNpsFQK8RruJxBTRNRFQmNJYxXjZ0EfEN25ZcuW2nZyTXzB/vAP/1CSdOedd0oqmMJoDVT1Q9W114MoEzJj/Z0+fTpZ9bziF4FFi6w333yzpEJmLMZ4jxhdJxV6gP9HncUamQX+hqEYxGekKpUG9xwdHU3jW5dIHL2Axfv7v/97SdK3v/3t9D2YQPxc0Xl8Srg/72EMYBfR/a1bt5aSTTdhQZFneXm5lCAVv6X33nsv6ZuXkCN6EIaLcnD4+cB0njt3Lv2W/kHHYQL5DScDvg7w+7GxsaRnnvx6cXFxQ5INR5bdGUFkhwEksh9WlPUK3+aFhYXUP7AgtJGxoy8AfUDkJazKli1b0nyJSdql5rrvCdF/+tOfSlo9vWF8fV2HtWM9QuZHH320p93Hjx9P+uRsHuN94403SpK++MUvSipOfpjTyBmTaTPuG5VYuiqqs451RB9Yv375y19KKnzBIxvuJxRcH6aN5yFzjf70DApDQ0NJ1kGZQJfZT7IOHjyY9I124LfPWKK3sGCcUMEYv//++6XCCu7/BgPIGvfP//zPkornwV133ZXu5TEAGyU7iPsXZxv9vT//kYu+OnHiRFqfGNe4DkrldYs9A89afj80NJTmHrrQmAVt9KuMjIyMjIyMjIz/82icUNp9xSL8f558EesCCxg/qeeee261UcPDydIjrxCWAH4p7JL5nB03lmTcIbu/3iBJlSM8ueXy8nL6m/YA7o017z5XsD+jo6Ol3FTOlmAZYBVhKdIXMcGrJ1OuKsm0XsTSf55I8/Tp0+letBdG0JPoEkmFj2NMvgx7gI689tprkor+8oSe7iMBQzQ9PZ18MEBdwfD1yu7MAOM/NzdXYiO81BxM0Xe+8x1J0je/+U1JRd/ccccduu+++yQVDC86FNmueG10xlnRrVu3pr6FOaHN/crearU0Pj7eEzUoFeNz+vTpUjQ2Ed9Y+/jtkTcLf1jkOH78eNIVdJv7ce077rhDUjF/Yh5DqfAlmp6eTrIzFvSLM2v9osr3GSvec2Xiv/fkk09KKvqNOUJbZmdnk27DDBBVDYMKi/TCCy9IKk5QfF698sor+tSnPtVzn0EQ8wjGPGjSKtMFc+X5z2B++C7R0PgDxjJcdXkCYdQ4OXGWD32AHZ+YmNiQMppVqDr5Qe88ByBjCXP6jW98Q1LRB4zplVdemeYvv0X3GWf6i//zTER3YiYKZ5EGQZVvKHNZKnzb+B/sNkD3br/9dkmFDzvXmJiYSM9p1m/GG7CG0Cckp2aPwKnS2NhYktkTQA/qG4peI+f8/HytTyhjgYysFc72v/rqq0kmdNczTrDO88q1YF75/fT0dGJdB9X9zAhmZGRkZGRkZGxSNGIEowXiUZLz8/Olcm/OJhA1hs8I1hL+LBdccEHyBcGCwrJmN4zlhX/Ztddem34rFbvppaWltNPm+oNEzsb8UsgVo0ex1twi9z4gGtZzbi0sLCRLBHYLS+CJJ56QVFgOWAOeUR3EwuYbUXYp5lGCpaIto6OjydKHncGyZbzpG/InYWHDLh05ciRZgrAe6AZ94uXdkN2rGVQxX17qqh9UVW2gTUNDQyWdoC9gUtBf2G8YQqzrBx54QJ/73Ocklau/uL8JstI3UdelVdaM7w6aO5E8gh5JRxu4n1TMTVgxrHj6HQuYtsGivfDCC2nc8R/j+rAJzBd0KFrFUsGatdvtkg/VWjrRBJEhwuInXyN+XcjO/wFto0+2b9+emFL84YiQxT+SNQP2BH9Dr17x6quvlnJQDionstKGyIYy9xgL1gTaydjQFnKAstZdccUVaf1mjUAnYMPQafSDiFWyQ6CXS0tLpbV0o0rMOZaXl1M/xBxzUrFu/eu//mvPe9rGfJycnOzJcCAV6zw+v15BiIoirtdVUcyDIF7DfbNnZmZSu2g3JzzIw5rG58jOmrhly5Y0fqyPjCMVRdgbsJbAGLIOoPPbt29P/eGZEpo+3/1ZiV7H8nPuI4hstJP9CfrMydbBgwcTw4iOU2EJZtUrinjZVZ7727ZtS+PCWtGUEc6MYEZGRkZGRkbGJkUjRrDdbpfykrHLHR4eLlVP8KhCrDteozUvrZ7/u8WAbyDsEbvj+++/X1LBMmEVYI3GCGeP8GrCEEQrwxmi6K8W81tJBfuFXw0WMBYiLNoHH3yQ/AmwKvCfgnXANxDL13PYVdXU3Yio4aGhoTTuHvk9Pj6e2Ahk8WguLFt+i85g5Z06dSpZ0F6ble/SN1hF7gPJ5xdddFEPWykV1u3CwsJAUdNVkXmuU4wJfYKvE1Yg+gH78+lPfzrNA7dsff54LUosc35/zTXXJP8jPuO7Xt3hfKCeZfS9lHqZO9gQZGWsuJf7utE2+uTEiROJ5aqrHMG85z3rAn2C3+GVV16Z1gZkZl6ePn16IP8xZ2hXVlbSGoZPGPpJ+xg7dI9ccPhPPfjgg+k0A0Yg6qlUWPswh4wBbGNkoRmnjYoeRWbmFfp68uTJ1JfML/xRyRfH6YxXAyIq/sorr+ypTCQVpx5E1eMXHVkZqVxbNf5dV5e4XzizFJ8j7i/MHIT5od3oIkzXX/7lX0pafcahn15thPH10y58X31sR0ZGSr6Wg4x7FSvG/Ip5gr2qBrrnOf5ijWHkY36gE84W88yDEfRThLj/qIuYbjLusc4yiCcK3MP3OIwzPoJ183B0dLRUDYt5gm8wfeBrHEBvduzYUcohm6OGMzIyMjIyMjIy+kLjWsO+645WmFu0MEOcdcMYsWv2DOunT59ODCAWlufYImqITONEznIt9+GI1wdNztPj9ZzxjD55XlsW651KIjEKS+qNmMY6pr2wh1gdvIdJw6pyH7jx8fHkQ+BsRhM/uVhjmutizRw6dKhkOXv/YtFixdAH9M2hQ4eStYRMXN+jSbG4sVRpDxb6a6+9lpgomJbIZvZrOcX8kVW6z//QdfdtohqI+zrGCFdnLj07vY8d10C+OH/cn6hfJhB0u10tLS2V/BZhhl544YVS1QnGlc9hghkr5j3j/v777yfdpd1ed5NrsqZ4fWXkfP3115OvnVeUmZ6eHiiqMlr1tJtxZf56DkPaiVwPPvigpIIVu/baa1OULX3s1YA8Px+nH/jLxQj+jaqvirzoFP3MutvpdJL+8YoPKGwnv4Hp4P8xs4PrtGd98M85KULn45rneew2Kno4rqfSqg7Sz7B4+OvyilxUTfrrv/5rScW4j4yMpGdDPE2TpOuvv15S2bfSn5NVJxIb6RMe28QYt9vtxEgx34kOhxXl+UXfwCbzGuch1/BTQT736h70GWxZp9NJ83EjTr3i71iHYThjlTJA/zgjxzrlFZLGxsaSTMwPngHouPsdIh/tiCcd/sxoWkEqM4IZGRkZGRkZGZsUjQtRuiUXd6BeTcH9CLGa2UXDDMSqBVgPWFiwCFhHX/7ylyUVzISzJzHfXV3dvSYWQ9VvqiLXPM+eM5y+64fheuSRR5L1BbuEhYUlQMQpkYmwDfhLwrzs2bMn/cb9KJrIvbKyUmJUos8OFiuyefQgVgt9hB7EutWwhchIH9An9Cf/j/4SUm+FG/TJ6xA3HXePDI61hz2Pl0eN4fPitSiRt9PpJIua/qLd3BdG3S3wWF1BWh13z29Wl69tPaiqJMR1JicnS7rsPnqMM//HTxKrfmVlJc1rz5VIu/FJpB2wYp4rcmxsrORbE8drI1iiqEc/+clPJJV92bDuqapARDjthgXYuXNnyZqn/fSX5+4EnpkgsmIu56BrnbNi09PTieXgNMYZeJ8TLmfMkIDM6Ao6z/zgHviX8jlrztzcXEnXB4kejfDrxNMBxgjmn+cVOSH/6I/+SFLBZMY8o16NyHPKcm1nAOnPqtOpQevscg1fL+J79I75zZzlpA8/eOY0PqM8p9rtdmofLDfPLCKnOQEEXkkKtFqt1I++5jU98VtLdn+GeG1f2se6xBrLLaGDAAAgAElEQVTNqcjMzEwaVz8d8jy8vCKXn/y1Wq3SmtBU5xunj6lbnKTyZgOB/AiBI05PmDg0NJQepHQkmwqOgj/zmc9IKuhmp+qj06wftdQFUKwH8Xo++aLiMchMDh5kMZmqVEwEFOfWW29NiwibCK7BURCvONj70RKlyqanp5OierLNficJTrRVjtPS6sKGInvQAwsbDymCXpgcPARicAn9h3M9mx/6iUWFa/BAiCld2ECjQyw2/crO8ajT8PG4go0L9yK4wY/5mQO+gaEUlVRsBGkvm142glzbdYhrx6AlN4yayI5skkqJdOMxGeONrIw7x/psmpCd496zZ8+mNYE+5re4UjCuXnYN/YupQzAauW88bmyaUkIqL65PP/10Ohp2Y42NHhtAAryQK/YV6yPr4b59+yQVusR6gFyMt7dvdHS01gWkaXJdruNHYNu2bUvt4v6MK5s0dIU1D8QjXA/w8GAH+pEk6wTMeIqyVqtVcsIf9HjUfx+JDcaGDQtrspc8xPDHAGBunjhxorSWsg6yrrOpxJhwF5G4EfSNySAbwViyDsT55SUQGV/S3vCeNZvnUwxqQndYvzEeuLaTB8BdXWKwiB+LbjTRE12AnFipS1HnBlRMycTzjjXPXc1Yt6pc0Hj1QNG15FgL+Wg4IyMjIyMjI2OTonGJOeBWU6fTKTmPwxDx3p25nfrcs2dPsqiwjmE7HnroIUnFbpkdN9/HguBekYauszr7Bff0ZNox4bKnP4HF4btYzzhff+UrX0nvaRcWFpYhCZofeeQRSQULgYWNVUq6gSuuuKKU/NhT6PSDmDgZORk7LDypsABhQUgBwHdhfrHgaNvo6GhiHPzYy8s8cT8sbPqTa8ejXJg0GLYmgSJjY2Ml6yvS8LTL05vA5sJce9AFrNhLL72U+gHdduYMxsjTxzDefH/79u0ld4im4z40NKQtW7aU5nRk7jjOg72BtYcBdCdyXsGuXbvSeMKYISOsA+4j9CPziv6Mxd1hE7ivO2H3i7o+e+WVV0pBTPQzcwA2B8aDdYz2zs/Pl1LQPPvss5LK6yXysB742rt169ZS2bJB0O12S2tdDN5gjYOhxD0DvfQjRK4REz5HBl8qpyDhfpwAeLqO6ILjR89elq5f1I17u91O85s1GnaHdQBXEBjBf/mXf5FUzNGRkZGUHob+Y+2CEfT1ADgzuLS0VEqa3tQFSOo98fMj2YmJiTTnPAWM9zfjDusXn/N+5B+LSUhFwAynR/QrQPdiAKOPV5Oj4aq9TTxNYV3yABXfW3jgF1hZWUn9xnrOGsLcjW43US4vOTs0NFTq86Z7m8wIZmRkZGRkZGRsUjRmBOuKHHe73ZKTJbtnLB+sPXa8OJXCmnU6Hf3d3/2dpIINwRGZ4BD3hfB7YiG12+1Kn4r4234Q/Waq2FCsOE+mDJNBH/BKegF8YKanp9M1YBWwuGBc8L2AWeH+MAb0a/QZGoQJBDGhZnT4llYtIKxd2A+SqNIGmDl37o2lx+L1Yns98MN9sTxl0djYWPqNl6WrCx5aC5EdcetrZWUlXRMZGQu3GJHZ07ssLS0lJoD/wY7ghwYrRj/DFCG7MzJR5qZlt7rdbk/AFRYxYzg2NlbyAYWRo59g9fF1hCFg3GNQE7qDley+YOgFbIoH30xNTaV54f7Dg7AkEVzv7bffTusT/eEMFywP6wG/5fPnn39eP/7xjyUVQTR8l37lJIB7wULRJ+j39ddfn9bWjSint5avWLfbLQUpMe6+NtcFqnU6nVLJLmdBGNeYekQqZI/+q+4DXhVUsRFYWVkpnQCwVsNwsUbDlvPKHJ6amirpCOwh48u672U0kScmNW6yptUhrhGeQDmWLkRP/UQPPeUZxzOb5/zU1FT6jTO/vMfPHUaQ0y7axtp4+vTpEvMMNqqkJIi6xnPIn1PMf08bQ7m96enp9IyK6bOkwo/Uk9C7D2RkhP2kr6keZEYwIyMjIyMjI2OTonFCabe2ohXBzpWdOrtjdvvOCLEzjkmXPc0KflDssD3SxhNUxkSjG8kIRN+zqmglPnMfFqwikqvSJ7A4MZVALKgtFawXFhZ+RzAIWOb4wNFHIyMjtT4D/VrJMEOeAgZfj5jMFqbH2TAipz3aNYbJM970C9ZxLGkmFVYyMruOdbvd9B1HE0ux2+2WfJCi/wzjh+8K7B7MFu2D7UMfYvoYGDNkwM8IRo37whTBQqAfWKdjY2OldErOvPQj9+zsbGonv4/pEbg27XFW11P/8FuutWPHjnQNl90TybuF7YloR0ZG0vXdsl5aWtoQdshLPkll3xzWr+9///s972F/Hn30UUmrTIePDawXLJInXnffa4rWf/WrXy0lF99o0EbmYQTtdp1zP7PIrHiKH+YPflSegsr9vtCpGI0JNpoJBOPj40nH8GVjft99992SimjxZ555RlL5hOCGG25IfrHoBCUXGV/0ltMw+sJPd+JpBRgkYjr2m/tDj4yMlLJkOAMI6AuSaNNnExMTpeIHfloDO8ZJGfDUROfOnUt/+76iKVxvos55TILrL+NMf7FWM3bXXXednnzySUkFq/nSSy9JKuYxa20duxefQ54loE6G8yEzghkZGRkZGRkZmxSNGMFWq1XaccZEpp7A1xOLxiSg8XOi5x577LFS9Ni9994rqYgWdZ+ltdoK3Epqygy5Dwqyz8/Pl3zYeCWpJv4AL774oqTCionl9rD0YVK4Btay+4LxfS9ePzo6umFld1qtVqWlxRiOjY0lBojIL9rveZFguJA96gsywaTF+0uFBUaORXzF0Cms0pMnTybLyhPaNvUd8QTPkQWkXVjHWIjopzPCvKLfc3NzqZ9gej0RM6wI44989DPvx8fHSwxVU3+poaEhzczMlHxvYacmJyeTjOgHcuCr576tPm+kguHnuugtOkX/esQ5OsXvT5w4kZhJH/cqJq8JaPfc3FyS2X0naedjjz0mSfrhD3+YfiMVvqRSOcqW8YYh5trcl76BafnzP/9zSavz3vNTDoIYPerJ1OO6whhFv2yp0IPYX1LB9k1NTZWYa2eK0Hnuzxz0E6Hl5eWe04DfBuJ1mYPMveiXLRVj89nPflZSwRRFX2FkgvXGD5I1BIbIS875KZhUzhe5UUm0kZnnU7vdLpV/Y9wZZ3wBSaKNTsbEyXHcIlwPmF/0N3M75jBk3Rskf2CE7w9irmT3BUZm729k9niICy+8MMnmJXh93tTFNMS13OdeUyY4M4IZGRkZGRkZGZsUjSuLuMXAzr7T6ZSsN7fMPVs41hIsGayZVERGEoHqu2Vnd9wqjRGP3uYmlkOsruF+LefOnStlFOc9TCZWEiXnyAmGNbi4uJgsHNoHO0b1CRgjfoPFCOsYq4nU5U5sIvvQ0FDJJyLmcfMITt4TSYd175GUkSHCcsIqJmKScnpYhOgbrJlbg1u2bClVuqiqgtOP7K43UecZI6x7GEssQ5jKmCsz/v+dd95Jv8WfzH3CfC7AtHn1mHPnzqV+dCbvfAx6HZjLvMZ5iEyew8xz5vm6wPgfPny4lG2f8aZcFcwfOo9uMcbusxpRFWHaBMjBvWKZNeYFsrMmkAmB974mRnaE/qEPeGXs6E/04Etf+lLP+23btpVYg40Csseo6LqKCL6++3izDkxPT6drMI896prxhZHiWUG/e+Rq/O0gJz9ViNHPzDnGpIqlk8pjF/3n+S664fMIX3A+X2stH5QBdNSV64tziL6n/dFvL77ym+jzxmeww5wesI7iL8mzwvPHxjH1E8dBWNF4XdefWLmG+c5nMH/oq69PXGNycrLE/FWVzYvwaOHICPrzvOnzPTOCGRkZGRkZGRmbFI2TD1XVX5RWd8js3rEIPK8U1gBWAD5jRIbOz88nC4qi3fiCxftEuLUed8++s6+LtFkPqnbabhlJZUuQ90TUwgw+8cQTkpRyiY2MjJR8L3hPlQqs44997GOSikoO1OWN0XtuHdUxqeuRe35+vmR9xchpj9h2n0LkwJcRBjjmhoIJ5JXo0ViHWiqicvEdwSKjv9vtdmLFvDD44uJio6hp7u2sztzcXBoTgI6jE54LDMsXOR9++GH913/9l6SCRYItpEILfrJEHjvrRz9OTEyU2LlYhaAf2Rl3Z96wiGPUsOeRi1UfpMJ36NChQ5KK/jt79mwaX/qDtYH7+hh6pG1kRekXr1IzNzc3kP+QW+q33XZb8uOLtZcllfLM1bGR4+PjpTUCXaLd6DZ+ZzCB1N2NJwheu3fQert1jENsH6iLBAWx+ouknqh+ZwK9igLsOMy6R1RW+a17xOugiNd3n7y67Ax1/x8eHu6pLiMVPvLA55r7klYxXxsha1Uu4Ohn65VN+C7txP+V/Kf4rIMzZ86k0w9Oxhhffst8wa/YM2KA0dHRWt/fjaokFHNaevwD8z5mLZDq/TknJydLVUnYP8CK+xz2k6z4DPactqBf2TMjmJGRkZGRkZGxSdGIEVxZWSntRNkpdzqdHmZMKiwej5DFCnjuueckFexPp9NJUZWf+MQnJBXWo/t7xQoHUtkfIe6mPddgk1xb0fL0nFoLCwtJNvcroP3s9mHvkBn/vyNHjiS2iPbiH8VvPv3pT0sqGEHYUo/SrfJrq/NlWY/c0UfQmddut1uqxUv/uvUEK8q18ANcWFhIDAt+cviLwhRhTcEqYU3xPdiy6C/l2fGjn+d6gGx+PcY66oT7LiKPZ8anL/CFe+SRR9K4e3b9L3/5y5JWc1DFPnCrk3tu27at1pc2RiuuF61WK10bPY61vZljjBF9EH0W429hcffv35/uwW/oJ6/jDevltY7RA3wuZ2ZmSr9lnJrIHuEVMu69997U9zAbjCHsPW3gPesBn1966aWpP9zfDT24/fbb0/3ie69qEKsegUEZorrIxeHh4VKGhLV8aGN70YPh4eH0HcYI/2feOwNM3/u6PzQ0VGJn6mRoiqo6tHWo+3+8BmP18MMPSyr8i+kvWHJkrTvZ2mjE54ZXdorrvJ8S4L/pOUCJmEfnT58+ndZr1hWu5ZW3eLaRT7CKCa7LG9i0f/xZGWMM/BTGq9nU1WiOJx3+7KS2+COPPCKpyL/ICYvnw41z0JnpprqRGcGMjIyMjIyMjE2KxrWG3YeAXWun00nn+FgysAe+a8bigRGKUXL40GEZuH+hn5tjsWBZuJ9dvEZdnp71oCrrOkzc4cOHS/6RyISPA0wGmdPpG3b/jz/+eMkPBmvoC1/4gqTCSvIM5FW1cN2qGdRnCOs/+pxJq0yH5wWk7736A9eA8YDNidYmGdlhWOgT9xUjOhcGGSwtLaX+8Wj1hYWFvsa+1Wr1WF8uX6vVKtXMRCewfJHj8ccfl1T4wsCKnT59OvkEfu1rX5Mkff3rX5dU1Ob13FuR5YuvMXLffToZo37Q7XZT/zubfvLkyR5/QalYC2i3+/PCAtC27du3p+/A6DJvYIaY19yfaOL77rsvySytrgMwbIwPOoNV3hTep5deemma77C1zHv3l4IdYc1jrC688MK0JpBBABmZ52QD4ETAq/sg+8TERClid1A4mx7ZDPrVGThfo5GPeY7srVYrfRf/OE6JvJY53+M914z+oHzmjM5GM4LR9xr4KQhwP754Ddjsb37zm5IKXfcx9JykVc+vjYwarsqMwfw7ffp0KQ+orz/496L7jFmV3xrX4hnBNW6++WZJBQvOWkLWANb20dHR0klYUz94ZF8LjA265r6tzswxZqxny8vLqS/pHz8FY+/DngDEOs/cqy5COucRzMjIyMjIyMjIWBca5xH0XTc75enp6cR+VOX0i69YwFiBsALbtm0rVYXwna9XefAIm8hcbVS9XUeMJpJWLV4YKs+LFuvpSoWfFJGAWDq33XZbsgz5DlG2XkXBfXF4H/9fZxU3kT1mlWdM471gegAWI5YP+gB7hjy08eKLL07j7lG2WJmwTvQXNWdhYrAOt2/fnq7h/prDw8ONLGhnOMDWrVsT2wQz6T5MRNDRB+TPIqLujjvu0Gc+8xlJRVQorKhn7vcclR5VGH1KfJybMEZx3Om3yPpjycbqHlIxZvQ/jFD0N5JW9QEdYfx5JQclzKpXHCHTAFUYtm3b1pPbUirmoI9bv/AIyunp6WS9I5Pn/Kpjp6KvG/6DMH70NePPOsCpgrcjshQb6TcWmS/XuW63m9qJrMxBP63xqgexMgXM7k9+8hNJBTPoWSBYE50Nr2J/Njp/oF93aGioFLVex0LVMYedTidly2D80U/Yd3ypnV2qqu6ykYxgHHc/UZqamkrzmnUG5poodvw80YdYQYhrslYhIwwgMQGw4Kwzrvv00cjISKk6zSA+lHG/ENsLnJWtq4ziv+V17969aT4zjjyzqCnNqUisxFJ173a7Xft871f3Gx8NrxWazyLu9D4LAA9zJj0KTQddeOGFaeA9Qas7qPqxqNPo8cG3EekEqoJFaEN8CPEwRJH5joeOe/qTq6++Om1YoIb9KKhuQ+tKV6UoG5U+wzdFi4uL6cFVFzyAXD6W/G5hYSF9xgbA3QrYFNM36JonaJ6amiqVuBrEJSDKBeKYsiFlHNE1Hu4s9iyiXItrfPjDH06JgUmz4g87D74BVc7x6Iynuuk3qTbH4mymaFNM18PmF52PJRelcnoEksLy2mq1eo56pMJdhA0iDwyuiVwYCtFw8CTEMR3DoHM/Ih5H+pF73cPINwzLy8uleetJ6N0o8vXHEztvFIaGhpK++LWHh4eTzKzjGMGeToj+5+HN/H/77bdToASppJgn0fUg/oajdXe1GRkZ2fBgirXcaHwt8U1u3YYALC4upu/ccccdPf/DbYigID+C9zH5bQSNePujiwnPLMaKDcvnPvc5ScX6RUo0gkfQgwsvvFD33HOPpIII8YTMjC/tYJz9eR+DR3ydbDLX1wqwrErP5O46nhLI5+jtt9+e1i7WNp519Anzxtd1v3e8/qA6kY+GMzIyMjIyMjI2KRonlPbAhHh068lV2dWzA4Y54BWLFzbn+uuvT2W0PFUG1pGjjjWJ7M9GOQ3XJWkeHh4uWTbuRIzF6OHn9FlMg4CsvruvO25wayl+byOs5Nh/MZmytCqvpxLi+NatJT8y4Ptnz55NLM57773Xcw2sZIDVhOXI8URMTRHLeEU0SRvU7XZLx2PRCuO+/A+WkzGA2UA+2BP+v3v37vQbxsoDc4AfEXGNGCjl6ZXcou4H8aiINsHqj42NJZ1nfGEMYkopqWCI6YNYQpG1AvaAa3L0ihxcm/6GNYluE36cBX4bzIknPvY1wfvd5+7w8HBquyfAZh2o+60n899oVB2TxTXAEx57uhMCoWB7fW1+6623UvJ05gf3Q8+Y57hSoEuctMQUOnVltpqOex2jtBbT5KlB/FkRGRzWNnQYkBaMfkMP/GTot5U+pioIIR6FM/cYA08fxNxlTcatg+f7BRdckMpjunuDp4Fz9ycPyottrHsuN5E/vsaxdAbO52pdOc24RjPe/A/mn7WtLjG7z/eYxm9Q14DMCGZkZGRkZGRkbFI0YgSrmKYq/yW3jjxQAsdQrIPoJ3f11VdLKixCT57qZ+J1YdTRn9FTaDRNtVBnccTgDF65h/dBdBqO72PKF7+f+5W503hVigKwUakUnGnFP2R+fr7EctY5jTt7BqvYbreTlYmlhf8Z1hNWMkwgbAq6g3W6tLSUfsO16koRrQexJJTrfBx3d4wH+EdFH0baSfudwXQdd/+juhQx0ZGf+eMWdj9otVolhptxmJubS/eNuhDv5YyB99Ho6GiSBVbJ/Yzxo8EXFLYBazr2J2wl1+CaMchtI9BqtUrpgmC76X/X9fhb2sT41fkG+ZrmzHQVNoIpaLfbpf6KOoaeMjYwviQFR2foE1+rjx492nOiIBUnAIwzPsGsA7Bl3ldVwSJgI8d8vah7LsVxiSdgUhFswVqGXyx9s9a4bxQzFK8VUeWLx/yCrYXpZw1n/WVusAbG5PweFORrGu/r5lFVWwcJEqrqv6pnZ10ArJeF9RPAqamptB7SX9FXWioHhXhfxDbWBaP1q/OZEczIyMjIyMjI2KRoxAh2Op3K82reu7+eR71h9REyXhVh5VFBvuN1i6uO8ep0OrVligZNKF1lhbnsUaaq91VtqUtBUFdQ3vvEfcfq2tovut1uKXUBVs3U1FSJKeNe7j/F9zxB5uTkZLoevmFYl562pE6OGM7vEZ3Rb6PJ2CO79/vo6GhJdh8LT4Ph6ZFiMXcYlKoosXgt95+JfYLV6RZrE1as1Wol696ToW7bti1dD3YWwMx5iUH3FZ2ZmUk+Yg888ICkIq0OMsEAO2NAu2IULjoCUxEjqH9b7BAyur9knZ7GOes+rHXprtaDjWaG/DSlKokx7BwlEXl1/8mYNkaS7r///sQIEk1PCg1+A1vikdHOzseI8Lp18beBKp/PeO+606PR0dHkE8y8iYm247XWM5YbmT4mXs/7MvrJ0a+sZeg+/2cOe1qXmPDen22OunKBUd46n/km477W+hDv488410s+d//Obdu2lbJBeCaRunZXZT2pu2+/rGhmBDMyMjIyMjIyNilaDdiBBUlHfjvN+V/Brm63O3b+r2XZlWX/XUGWfR3IsmfZf0eQZV8HNrXs/xuOtBkZGRkZGRkZGf/7yEfDGRkZGRkZGRmbFHkjmJGRkZGRkZGxSZE3ghkZGRkZGRkZmxR5I5iRkZGRkZGRsUmRN4IZGRkZGRkZGZsUeSOYkZGRkZGRkbFJkTeCGRkZGRkZGRmbFHkjmJGRkZGRkZGxSdF3reGxsbEu9R9/F3DkyBEtLCysq1Bjlj3L/ruALPvmlP3w4cNaXFzclLJv5nHPsmfZz4e+N4K7du3S/v37S4WdY6Fkr1bC/yg2znsvjFxV2NxRV8TbCznHotDe1li8+ZJLLllL3B4ge12b4v29cPRaxdvj+9heL8zNq/fjWkXW6/pLUt+yv/vuuyU5Ytvq2lE3nlVFtB3+v/VWwontqeq3QWRHt6K8Xnw8FlivkqNKJ+v6y3XJx5R71BVuj99dWVnRZZdddh6JCyA7qNI9n3NgcXGxp13eF1FP6mSu03nee/H3brdbOy+azPe333671LY4/q5jPv6+LlWtQcD7xfuV3y4vL/e0J8pbt1ZI0hVXXNGX7AcOHKgtZt9qtdK1h4d7HyMum7+P1/TrV8m0FqrWDr+v1P9aF9d579OVlZXSZ8D11BHlOd841/Wjfz+Oe1VfX3rppesTXPXjXiWDy+jzu65NEXXPp7p1v26tqfquJH34wx+u/Z7D1/m6MY7wOenr1lpYq4/j/wHtYr5F/a7q6350Ph8NZ2RkZGRkZGRsUvTNCEqru/E6xqvdbpfYjmiVSmUmA+bg3Llz6XduEcIqsPNlV8xOnGuNj4/3/H8tC6xJneWhoaFadi9auMBZT++LpaWl0ud8Blxm+sItin6skKaye5vW+l7dvegTl31oaEjz8/M9v3G2YXR0VJI0NzfX835sbKzn+9FKBmtZkeuBW3tV445sCwsLPb+hvR988IEk6fTp0z2fnzlzRlu3bpVUjC/t5XNk5R7btm3r+T/9OTIyMtA4rwX6NzJy/O2MBa/0BXPVXxcWFkrzxC3ciYkJSUUf8Nupqamez1dWVkqMbWxfv/0R17M6piPC5zffob2MEWvdxMRESXd8fvsc8Guz5sW1qY6h7BfnY+zid1x25jI67m2g3X69+N5l97VwrdOP8zEuayHqta9nUSdc54G3gWccr51OJ+mpy+Kyuz5XMXH+fBwEVc+xKvi4OzvGuKPrfH92djat18jGGuHvmfdbtmyRVKx18RlcdxLl+rgeVOlTnO91zL7rCPfm1ee4VH7+zc7OSirWssnJSUlFnzBfqhjWQXRdyoxgRkZGRkZGRsamRSNGMPrGgOiTUufjwM4Xi8F3z+x4FxcXS1aQM3zspp0RdEttZGSkdpfcdPdctbvn/fl8GAHtdsu90+mUroGFANzacKaLa1WxGRvFELkFshbz6mNS5xu6vLycLED3L6O/YBmwGL0vsDRjn63F4KwX0UqusjT5n1vDZ86ckSQdOHBAknT27FlJBTOIHMPDwzpx4oSkQubdu3dLKixDZIvzRCosycgMxXZXvfaD6Lfq143Mq4+3M/1u+YLFxcUSqzk9PV3ZXtd59IHvjYyMlNaCKHu/8i8tLVUy/1IvA+cs96lTpyStBmjEvkAfjhw5kt6jA4w7v0U2/JxwZJ+Zmel53bt3r6RV1qRuXa7zWVsLa/VV1TpFHzC+vPqYMjeHh4dLLFgd01b3LImnJHWsSJM1L67lzGl0Ls5/n1fIyngDxpi5EE99mN+wXsCfl+vRw41gQ6t+F6/n66mvee+9956kQvcPHTokqRirsbGxkj/zzp07JRW6QV84o+ZzpcrPtI457Reue1XX4zvMVcadvmCckavb7ZbGiu/6+LLeI6uvwe12e0N0XcqMYEZGRkZGRkbGpkUjRlAq77qj9eTW8fvvvy+pvLOGAcFSiJYjFgE+QG4pOhPkvjdY3FNTU8lydr+EJrvnqghREK1krCRvr1tRMERvvfWWJOnYsWMp2odXWDJn/rz9zrRWRREOaiWtFbnkMv3617+WVPjDHT16tPSb2LbLL79cH/rQhyQV/m/eXiwv7uEsBHqzbdu2NO5YVOuNRKxCVYRoFRhnrGCsPfrmN7/5jaTCQuRa09PTiQHkM/QVXUYPomUd5YoMgvtSRTn6xcrKSm2EaDwBYGycEaL/jx07JqmaWXHdgU3gPeMK++XML0xBjBp2v6kmul/l8xxl9xMJ5jE6D/P76quvSir04c0335S0ugb6mkV7kYk18KKLLpKkFAX6wAMPSCrm1ZVXXilPfxGZ6n7HPvalI84BWBBn6Rkb9BY5+G273U76VMds+JrmYxHXxCY+03VotVrp3lXR+Nyf546z4PwWdveNN96QJD311FOSpIMHD2wFXf8AACAASURBVCYW7CMf+Ygk6Y477pAk7dixQ1LRX/68ckap1WrVngo1ZYiq/KD9esj69ttvS5Jee+01ScUz+PHHH5cknTx5UlKxHhw5ciTpCLrBs+6GG26QJH3+85+XpPQ8qHt2V51EDTLuVf0V2Wqu7acdzHfAnDx48KCkog9+9rOfJV3gGsj+4IMPSpI+97nPSSo/96syddQ9S/vtg8ZHw04PR4dRFnEWfhY4PxbjochGMdKnLPiXX365pGLx4+HOfZlodCrXjm29+uqrJUlXXXWVpIKKb4LYwVWO2SwMHvQA/AHxxBNPSJKeeeYZSat9duONN0oqJsP1118vqVCMumCbqiASlIjf9hPe7uh2u+l6nsJiZWUlLQQvvviiJKUUDGyK9u3bJ6mYFEwiFr49e/akxfCWW26RJF188cU9svEgRafQMXcduPDCC5OukDbDnW37QVWaj5gugXFFx48fP97TXhYGXtETjkTj9Tk+REcYO36LHL4Ycs3oQL2Wc30/svuDJs53ZPeNIHpJu7kGfQTGx8dTP3ENdzBnnJHxsv8vBY7r89zcXOofHqRuCPQLD5CJ449syMxDkbFD59955x1JxQaX/x87dqzUX8CDBnioMJ/Q47vvvlvS6vEauoJexU1x0zlf97mPFWPoAX4e2BeNifWm0HBXmrVcXeoCZvpB3AT7uA8NDZXcHTwYiL5hHWC9YvzffPPNpNNs8P342AMmfN2Jm2L6mmcor00C5KoIhLhmMs7oIev+r371K0nFfOdzJ3xOnjyZntv0Ab/ds2dPj8znm7uxXYOSHFxvrfRT7uLBeHtAHJ/zipyvvvpqej4yzvzvvvvuk1QeO29P1O86159+53o+Gs7IyMjIyMjI2KQYmBF0q+uDDz5Iu30sWHawWEO8vvLKK5IKhohd9uzsbIkxuf322yVJN998c8/n7Jr9GrAOk5OT6Ts4K0PFrpWAtw5VyUTjUTjthiXBgvDgFqeOsYgOHjyYmFKsI5gNmDNPkVPnQD88PFw6OqtKq7NexJQHvCLXvn379MILL0iSXn/9dUkFC8JxmVtL27dvl1RYf4cPH9Zjjz0mqWB6b7311h6ZGWeOCrC4YVWwshYXF9O4cOTq6Rj6ld2PxaMbAH1Ou2kHn6PzWMn0P2xvp9NJssCQoyP0E691wS8xCIPx5pWj9iayVznO0wdzc3NJx7FsGSNe6QPmO+1mPl5wwQW68MILez5jbjKfYZcvuOACSb0uAPH7IyMjqT3ch35rqvN18/3s2bOpz3GQ9+Nd5p+7rrBe7ty5M8mODB5wAHuIbnGszDUIJpmfn0+/Yf2rC7pZD6pOfsDs7GzSaY69WfPQDT/G93kzOjqaWHsfR4D+IpdfI7ImdYEygwSJRUT3JHdVon2eEoa1DR2M7gp+5M971jq/FveoCjKgjz3AcNBAGdebpaWlpIeMTXzeSIUe8H+ucc8996S+4Ln3ox/9SFIRLHLNNddIKk7+6lInRXjqmUFOAGLwifddp9MpPUc9eKVuzGIAmLuNMXacfjFn61zY1uP6lRnBjIyMjIyMjIyMdaERI1i1a2ZnfOrUqcRkeDg8jAHWqls27KKHh4dLPnYEHvBdWD2sYfeTYic+OTmZrPC68mj9IFqe7rS7uLhYspaAW5D0jQfKtFqt5MOIlYzMWIweJIDVWcVYVZXgaip7u90uWSf07fHjx9O40i7YGxg52sl7WF18SPbv31/yuSLtCv6dXJM+wnKkDBrWVGQBNiKdwNDQUK1D+5kzZ5IVzCv3Qh7a51ZgfHXHc5hUdN19QbH63Wfo6NGj6bpcE11qKjtwJnhhYSGNEUwmr7CfMNzoB3LQpr179yaGgM/QK/oP1ol5A9uIP21kCusScDdhQ2NaEk8bdOrUqTTe6DD6R7v5LawPY4fe3njjjantfEZ/cU38h3/6059KKvvk0RfHjx9PzJOnnGqCuM7Th6zLL774or73ve9JKgIhYAhZ+2gL8qFHrGN79uxJ6zfMOONLP9WxuzBIce2rW9cbJ9mtKR8Wg6fcH9KZQXSRsY1BkMxRX9MYO5eHe8Q1V1pd77kP8GTE/aBqnUfeubm5NPfRP+5NP7F2M1b333+/pCIIYnp6Wj/84Q8lSU8//bSk4pnAiZ+fXNX5hHa73RJrOMg6H3U+fsZ13V8P/fOUT7TJE2Ffdtll6VnAdTkRIB6iLoCqKm1cXSL2fpngzAhmZGRkZGRkZGxSDMwIYgVgpYyMjCRrzc/P8Xmr8xWLRdFhFZz9wtrgcywtLCDuzQ691WrV7rAH9R3xVDCLi4vpHh71VOevAoOAZTwzM5MsKPwlCKGPUaFV7fBSP1UlpzYq2aaP4fLycorkZAwYI6wiZKRPYE3wJTxy5Ej6LjoBUwCj4r4jyEMfwaZMTk6mzzaCHYn38r4cGRkp+Yb4dz3dCfKR7mPv3r2pX7D0YYQA/eqJo90PZWVlJVmmzhY38YuN1mVkBqTVec/fMH7MUWfH8ffjejEiHH3yDAO/+MUvJBVMK9kDuAdyrhU9OEjJqSpmOfqrebk/Z3EYM9iyu+66S5J00003SVrVW48Cpz/RZRhh1lhYFPcHjH6xvt4MWl6RMcSX+cc//nEam5deeqmnHZ5AGt9m1mjkfffdd5M/MYwv/eU+gXz+sY99TFL5RCWmohlE1yN8raYPlpaWSlHM3s+eYJrv0wdLS0ultFrMB8aZ70Z/XKlYF/h9lHMj1rroIxg/A+i4M+60l+c46y9jhh6fOXMmRdcz7jw73G+8qm1S75rkp22+FveLOiauKnWc+0x7ii/8ZPn85MmTab6gTzzTPHG5w4sqDA8P95RpXEuG8yEzghkZGRkZGRkZmxSNtsyx+LKzIxMTEyXfNawidrpYNLzH2rvyyislrVoFRMqx+/VktDBE+Bawq+beMc8P1jrsy1qlws6HmFjYMTo6mpgft0ppF9YewAqE+RobG0uWE+12i4v7cy1noWIEE791S7EpG+oWEa+XXHJJKfcb7XC/H0+y+vLLL0tatZD4Duwh/hOMM9dCD7xv6LNWq5WsJcbEGdN+4WWwYh5HZ/oA7J73gTPBl1xySYk9wMcOvxmu4fnE6E/yeo2NjaX+8DyFTaIIh4aGSn6IYGVlpVQYHoYDaxh5nO2FFdu2bVu6PvOdyFifAzBFXm4vJjP26PBBxr3VapWS1se+YDy9Haxp+O9de+21kop1CwYk+iDST5F5kop1FDaU3IT0Ab+bnp6uLUzfNGrYE7bDbC4tLaWx8Fx69D9zlyTB+MLFdYu/YRM93yJjxjrJOuC+wNPT06Vn0lqlwc6HeJoST3ykVR2tK6jAe9g6Z/HQhyNHjiQdd98w1hLmrjPGrCm8zszMJH2ri3jtB2uVkYtgbjrz5s809ID5eODAgbTmozvoNuPr+Wpd12L/83dd3r1+UJWkea0oXX+uehJ4xgVW/M033yyx3R43UNf3fvo6PT1dYhEb+8M2+lVGRkZGRkZGRsb/eTRiBOMu3MvwLCwslHLX4e9HFOQvf/lLSeWyYFgO8/PzyZLCQmQXjLXhr57FHiv63LlzyXL26hqD5hliFx5ZijqmzRkPz0wPU3D06NHEqMCYURnFLQb6F2saqyPK5f0yqLXkWfYZ65mZmWSl0x9eMQELlvF/+OGHJRV50nbv3p38SGG0sKx47wxrXRWB2dnZ0jgN4icVKw0407Rly5YSY+WFwj2fJONNny0vLydmj4g6dP/jH/94uo9UMEGw5PwOv5udO3eWoqwHYQjWisgcHR0tWb+x3JtUMIC0H6sfH6KZmZl0fWTxvJH4ktFv7h8ZGQLmOacEg7ChMY8gv48F5j3nm/srMe+Ym6xxkaX2KEwvT0gfcA/mHLoTc0TyP/ra50k/qKqmw7127tyZ5irrFXOU3J9/8Rd/IalYv/x58N5775V8jVnzONEhmhzZ0XH6kzHudDpJD72UXRPEUy/6kPYPDQ2VcsHxyroOo+l+gKx1hw4d6onAlgpWjBMhdAQ5vEIHss/MzCQ99HHfKMTnhz/7/ZQOuVgP0Av65uDBg2m8WQs++9nPSipkBp5315+509PTpTyVgyCWzFyr3Bzw7CaMlT+vaO/+/fvTcxHZWKs9swM6xTrAayzp6CwoyFHDGRkZGRkZGRkZ60LjyiJuLcX3XlWBna9XFiE3oOcG2717d6lCCP59+B3w3qN03Gcs+mz5OXqV38N64AxBtO6dhfI8XO5rg/UKW3bs2LEUSYX/GFa++/+4Tw5jES2kunqbgzBEUjmzf4z8rKt0Aqvzs5/9TFK50sTY2FjJF9CjxqsKb8fX2Ac+FqAJO1IVgR0jxzySzlkE+oD37us4Pz+fmFKKtfMbfIjc/5RrwaLQ/8ePH08Wt2e8byo7Y4quRb8lrwrhbAmywuJ4xYmxsbEeH7/4CgviuRORj3UCdmTr1q0l1niQqOE47rQ3Ru058wcLgvXuuR69ZvbKykopFyHvqVYCS8ra4fWj8T+87LLLKmtXS83nu0e9cwJz5syZJAPMLmvZQw89JKnwbUVX0Av0ZcuWLaWcklzfnxnoB4wafUW7Zmdn0/19nW8y7lV1XOM676cC7tPGb9BPrx/bbrdLdWpheGFQkYdreBQ0urZr16407s4iNh13X+tiFSueuX4aCJgfnjEjZjdAlxlvnnW+tsEEkqsUeVhLhoeHS88I0PTUy+EVvCLiyaNUlplX9jFvvfVWOslhXWQcfc8QfVLje+45MTFRe79+1/nMCGZkZGRkZGRkbFIMzAgCrL6lpaXExrELxnLgPVad1ySFFRsbGytV0yA3EVZmna+aW2ixuob7ywyaZ6iOFY1/uz8f1h0WBK/4Bb366qupv+inOjbEs8c7G1XV5kHyisWoKeSLNRf9mlgwMIEwgPj9eE3KWKvZcxJiLXuUljOTUT5nfP27TeHjHiMo3SeQV2QF6Dd587rdrh599NGe/+GDdeedd/a031lGdAj/qfHx8eRn5KxYE0aw2+3WMiDdbrekl15VAd8h2HmvoBCZNa6Pjnj0KHMBRgC9iFWJvOaoM+f9IOYh5TpY5GfPni1VV+DerHXIxRqHf1wcS8aP/oPtiv5k8RqchnzkIx+RVDCsrVar5Mc6SBWl+HvGDMZ+dnY2tRM/VHzcYChZu10HGbM9e/ZUVtiRilyJrm/8FjB/Tp8+ncaFsRgkajj6gjP+yBPrxXr73F+W9Z6+4v+jo6PpmUm7mbP0MYA983bQF9PT02kuofPerqZYq7IH/erRzv5sRq+R4+TJk2n+4h/nbDvfJZcmn3ulpG63W1rnB/WDBy77Wv/zWs/uw0yE+L59+0r7D2eynSnmHugL3x8ZGamNd+h33DMjmJGRkZGRkZGxSdG4skjdefzo6GjavcecblJh6USrSCqs55gXzSNNsai8XuUnP/lJSYWV7FUXYts2ym+mLldT9CtxuN8KsmMp4A/07rvvJmvoxz/+saSiwsjdd9/d81ssSWR2X41Wq5WsC8812FR2Z5aiH55bOh71yG+xlvfv39/zvUOHDiXGhDxT3/zmNyVJf/VXfyWp8D9yvwpvn1TvJ9M0oq7OD2NlZaVUJ9j9NmPVD0l6/vnnJRWM19mzZ9PfMDx/8id/Ikn66Ec/2tMOGCRnl2NuPVhYIo49t16/qKtYsby8nPSR+zt7i/9ejG6NbZKKMSJ34s9//nNJBTPgtcTdPxd/m9HR0VI+Rvej6QfLy8ulqPOYh7QuMh3ZWNtYE/EDjXriWRaIIoXhxaeIcYZZJe8qTFJky3yeN80butbcwTeQ78AIer5Tv1ast8zaxXoPw0cfoOPci3Xe2d35+fnEnPLdQXKrVUUNx/fOvNZV+2Gs0ONYZYU1ge+iw1zLa0ojM/OIfo7ZHMAg+SPj79ZixeoquaDrvNI21rdTp06l0w6qjiCL5w1GdmcCYxYO2uG5JQeJGq9C3Pe4brgfcqz7LhUZIE6dOlXy8fdcmr4ecE3P29jtdks5Uuv2OudD46Nhp90jVe4Oqwj26U9/WlLRSQQNsNkDR48eTUpDR9JJONJzPxYGyrKB6LTrwSGDHJdUUeNVi6w719MHpI9AHt7zAFxeXk6LBsXm/SitrswSWCsIZpDJUTXuUQG9nBmKy7G+B/jwiiPwkSNH0pEgDwQW97/5m7+RJH3hC1+QJP3t3/6tpMKx2pNGV210B9kEr/UgXV5eLgU5sLgDP/J05+cLLrggPcAefPBBSdIXv/hFScWml7Hz8nHoAQvH4uJi6msWUr7TBGuN+8jISGmesyCj235864vW4uJiGu9///d/l1Q8CADHjX4cyj2ZIysrK6UErHUlJtcrtx+Lc70TJ06UUmnQTzzMuacfdaEH3W43bQ4wmDAKCQJiLHm97rrrJBVHoH4sGNtaFzC1Xvk9WCAmr3ZXAE/b4ptQPveUVlF2NsoYiZAHuEcQXIBxgc4fO3as1lG+iUvAWqlDYtJhd7XxI2zu7TIvLCyk/sNtxHWG73L0XpfEOB6PuoE+aFLl9ZSa86IFvPomiOfZ//zP/6TgEEgO1idPou6BXwBiaPv27aVk04OkkYlub+uR3d2NuDfznec885738RqsXa4H6Lbvp2IfeVBglKMf5KPhjIyMjIyMjIxNisZb57rC7uPj42k36gWR2fX/6Z/+qSTpS1/6kqRih8uO99y5c2kH/Q//8A+SVq0IqWAPKX7+05/+VFI5GWdM5+FJKgctNVZ3xNxut2vL3WAlwZLBcHB0EC1IZOLogHQyvMIIOsPiTGBMguxWchNmMLKrVUdG7jjriU9pH4zGfffd13OtkZGRlHT8G9/4hiTpiSeekFRYUiRbxgr82te+Jkm64447JKnnmNLTrQySZDUmUnXZl5eX0z1oJ4wWlqunAoARoo179+5NSVVhP2BDPOgBwKL48ePWrVtLRxSe1qJfrFVWEaDz8Zg2tj8G18T2Hjp0SP/0T/8kqZjXriscccfSbPGeXDPex5lBt5rPh1ar1fMbP1k4ffp06bgYXWe8vdQfVj99c+7cucSY+OkHrCd6ADPsATMxfYa3Z9A0IsDXtcjEcH/a5Uyhr0HxPdfgROR73/uepKKPYYB5Rbeq0vY4K+/uMP0grmdVbjCeDsjXYp8LVUeHjLOXjEPH+Y0XEgBR5/2YdqNOvarYMV9HPZ0WMsLy4+L0b//2b5JW1y3cGry8HqD/eF5yMuSBKKdOnUpza63ToPUisuCOOO7udlBX1hD9xuUpjhnz2d2c/Ejd161YrMATbDd1g8mMYEZGRkZGRkbGJkXjEnPAfSViiRbgCZHdqqtKAYJfGRY1/lPf/va3JRW7ZixJHKvxLcBanpiYGDhdjMMtjrUYJ7eoPLEo7Y2Fuvns+9//fs91nRGoY7gic1QXTNHUUqxzQo7pFhjnOp8w2ocPWfSNIWE4TBApVQgaYZxJRfOd73xHUjEGpCPYvXt3KUBi0BJzLnO07vmblB+wPDCC7gAOA8y433PPPSWd55p16UWwuGFR+Zy5IRXsErrTBN1ut8Q4xGS9nkzXAztw+MfnBVZs3759kqRvfetbifHnWjfccIOk1X6RCpbE/SG9KP3CwkK6fkyz0BQxmbb7vL366qsltgYneFgKZKdN+GwyLu+8807yCWTcCA669957JRUsI3rgvo91jLE0WMBE9BXzdWNlZSWdZjhj5mW3PMAnMmv0w1NPPSWpWM9ZGzjhoV+R2dOMTExMlBjBQYMFvL2+fknlNFGeSolXD/DZunVrT4JlqThF8AA/T03ibH+n00nX8jRGg67z8TPu5SlqPGUW90avWZ94v2vXrnQi5oxpXTo45hHMIHMipoui3+ivJut91alXVXCYs87+jEMvme88FyLTzDMOf0lPTg18fY3Ptbq4h8wIZmRkZGRkZGRkrAuNo4brkjbOzc2VomHqLLQ6qyWG52MR3nXXXZKKtBJYFx5JiYXJvcfHx0vn91g0gyac9Iix5eXlksXgSUk97Nz9KC+55JIks5eaiUlzvS1V8lRZRE1L0DiqrGW3/N13BLgcsZ18BjtGX+BL8o//+I+SCn9Jxvull16SVFiYu3btKllHgyQajb+p8ruCncO3lfbh98X/YQa4Bkzd+Ph40mmugYWIrxj99O6770qSXnjhBUlFhCX32r59e/oN34WJaJpct8q/i//5eGPR8h3kIlUS7f3v//5vSdJzzz2X5i9MEAwQlj+6hYVdV8JJ6k34LJUTG/eDWD6QOc34fPDBB0k27sk4w8zgxwlbi17gC3ny5Mk0vzn1gCEgWhQd8QjBqhMC9wV1hqpf1JUmHBoaSnOV9nuqH5guT75M26anpxPDj1802SKQzUtOOqPKtbdu3ZrWfMcgvsER0R/LfcDcr4v20UfoM2zVVVddlaJokcl9wL10ozOs0QfaGXvQZJ1fi00aGhoqZUTwuckYcm98H5kTV1xxRVqPvAytl5hjrj333HM914ZRnJyc7Ilkl4r53gSRDa06/XA/Yc8o4En+YTA5ERgaGiplV6jz4z0fo7m8vFzKINE0fUxmBDMyMjIyMjIyNikaO8159AyW729+85u0I2fXjDXnuXbqdsKtVqvkP8G1ItMX4QxbjKzZiGLUVb9362BpaanHeljrns4mRoYDaxLrB2vS/WQcnusrlgara0dTuOwLCwvJInQm0/MdOisarUFnMhhPkmmTKBmmy8svxcjUukTAg8gbwRjHpMMwQugtFiHtxNcFaz7mT4Pt5rNbbrlFUhExS/uffPJJSUXSbe5BX83Ozpb6b1B/Ke/D6HfrebwYT+8L9JlcceTJm5+fT+3DssVHEGbT/eA88pj2nDt3LrHHoKmVLPWySfQBPk8vv/xySV/JXuDJ1N2fk8+Xl5dTCT7YUGRznzFnTbk391pYWEiMs0doN/WPdkYpnnQ4i+NrAu0lZybtpP2dTicxo7/+9a97rkXORMYSPfZ7xdMSGFQwyOlHFdMdWVWPSKcdHjFNm9Br9GT37t2lxMH0j5du8/Z7NLZUjl4eROerQBvm5+dL67YngYYBhPmnT+iLPXv2JBlg/JzFw8f6kUcekVSc+HAv1oXjx48n5tQjtpugar4j5+zsbGnv4gy8+0v6+jQ8PFzyH67LD8lv6+5ZFTXMNfrV+cwIZmRkZGRkZGRsUgwcRusW0dzcXLJ+idxlt+/Zwr00VixNxDUoxfXd735XUhE1yjXxp8BCwHKM+eQ8omaQrOsx8ziIkdN1xb7rIg+rovFilRGp6Ceu6bmCqvJccc+1onz7RVXG+ejTAePj7C1wa8V9BGPEuZepog9g1vCn4lqefX18fLzWJ3BQVtT7e2JiohQJ7yXnYHOZAx4RePTo0ZRbkP95aSb8TPBLIxINixifk+3btyffukGihSOc4Uauubm5HlZYKsaINQHfRdpNTi2uOTo6mtpLLkXYUM+VF3P4xfdca2lpKd3XfUPXqrizHrm9PODRo0dTOwBWPj5Q6AHrGbqOH+D27dtTRDSMEP5Qzz77rKQispwqOrGCTHw/MjKS5gks41rVj9aDujUmXptXn4N1aw9zYH5+Pvm5Ijvr94033iipiKDmN8wR1kD6e3h4uLayRJO1zvVd6l3rfJ7zfZ5L9AWvrH38f3JyssRgOXvk65dH6a5nbDfq9Cuu2bQD3We+c0rDPEfnGTvWoksuuaR0YgJgyqkgRnYI9IN5FcuuDVo+sw5VazlzrS5PJ33Ba/RhlVbHnf8xfu4Xyxyok4c5HiOQ6eOmfvCZEczIyMjIyMjI2KQYOGrY8/wcPnw4WQqx0oFUWEfsiPkt7A/+LefOnUsVJX7wgx9IKnxr2AHffPPNkqTbbrtNUsG4wI5EnxJnBgatt+t/R6uprgahWxBuxUS/OvcN8tyIjphPKt5jdHS01ipvyoZW+fVJq1FyWHO0m+96BJ1bwtHycZ9JdAi/MnxH3P8U/xPeV+U8HKQY+Vo5FNvtdmIoYHew2oh6pl0wNe7PeeLEiSQbkZKwYswP/KhgFbgXbBos6Y4dO9I1+F9d9Od6UZcLcmFhIcnqMjHPPe8h14gMwUMPPSRJ+vznPy+pqCSB7OgU13SfTPp/cnIytYO1YBDZh4eHS6wIPm5nzpxJssEUwHQwFzznJ+NB1OMVV1yRZOBanHo488JcQNdZc+NJgffXIFV1qvLJxZMfz9fmLBjznnHg8xhhTf8wP6g9+/Wvf11SseY544Z8sda0+6KDQdlQfz86OlryBUQmP7WJVV/i/2dmZkp+7swjdIix9GetP0Ninkwf5ypm83xYa+0cGhoq5bNEf/ENZI4yduTLi5GznArwG2RmDnCKwJjCisOkky+21Wql+3gUbhPE/UL8DHl9L8G8jycSUjF2tJ8x2rp1a6n+MHsbTjWRx31FfZ1dWFgosYdNTzszI5iRkZGRkZGRsUkxcNRwulCwTtgNw2xxBs53vNoCu2aiIPfv3598R3hlh4vvyB/8wR9IKqLKsLTdkqk6Z9+I2rPx95HZqqvt6kyXs2Mx/5T7HTmrU5VZXur1FeJeG+kjGO/l/kGxFi+y4/+BJYP1jvVM+7EgV1ZW0jXoA/wlqTzANbnG7bffLqnQJZiw0dHREgs7iKUYowgB4zE5OZnYbHyasE6xEGmXM4TgzJkzJYYHNoFrYEniL0OuRf4P27hz587EFnr1h6ZsqGe1BzGfHFY97cSHkShnWDL3afz93/99Pfjgg5KK+cz/Yhukcg1XWDKYqqmpqVL+Nc++3y/cyoaVuvTSS5Nuo6/IjqzMXeSC2YiVjzgxgSHwtZUxoz/5rfuUXnzxxak9zAdnM5vK7m0ZGxsrrTfOYNAGmGrA3KXNklJFoT/7sz+TVDA/sSZz/C3vedZMTEyUfNAHjZz17AYxetN9vr0ubJ1fcvQhQzZ0l8hY/OPInev58Vwfh4eHazNxbFR1jfjs8QouwJ/3rD2wvLB/kXVDpwHrp0c/w4LTsH24pwAAIABJREFUv8zxqamptBZEvUKOflG1RtCW0dHRtPYyn9BxPyFDL1nvOUV4+eWX0zXwpSRy3utpe0Ukr2IzOTlZYqBdZ9ctd1/fzsjIyMjIyMjI+J1BI0aw1WqVfIbYkU5MTCSrGAvB/WhgMLDq+D676SNHjiTrGKsJPwOYQKwMZ8vYiVflKNyI3EpVzBCI/kReC9OtZo+opU8OHDjQUz9TKtgkLC33M8NC8GjiKtkHQavVKkW0RksY6wjLj1fG0hku/EBgU44fP17yn6AvvEYv/nOwYjfddJOk3vyDzsIOOv7OyMaoPfqe9jFGtAcL1n1Yo96iy8wTrg+7hIWNXyxWqEfWDg0NpX7ZCL9YqWyhR787xo98cbSXiD9YXMbWc0Pef//9Kf8e/ec5vLx2q+ebY7612+1SXrFBEOcNbWItuuKKK5JeMv7I7nnkkI/IX5iCkZGRJKPnwWP+84p+IDM+RfhazszMpPyLtMd1tl/43In5Cd2P19chPmdM3V+u0+kkPYXtwnfSTxe4Fqyz58mcmJjoqbQR7zNoBamqdcPXMq+z7UyhV57odDpJBhgi1ksqjOAHR99wjSrma9Bas+dDvJ4/Z3iPbgOPoIX57na7SSbmAc84mDOu6UyX+16OjIykebMR+YKjf2SVXz/tZp6zVru/u/vLMkfHxsbSWurzmd/SX36qxO/iuuDRwnW5mc+HzAhmZGRkZGRkZGxSNGIEO51OiW1hR3/q1Klk4bCjJaqIM3EYAhjD6CMm9daNxCfwk5/8pCTpjjvukFRYz77z9VxSIyMjtXmtmlgMUXYQI3a8ugbvvaYiVgDA3+epp55K18OCYrfvVVaAZ5WPfolrVW/pFzEqOubQQz4it50VJQoSGRlvGEGPNo6gD9ADmED6D6sZtgydGx4eLlmIg1jJkVGp8j/1XJgwFXW5zZwVP3PmTNIVvw+/ZY559Bg+JViro6OjpSo+oImvWLSSXfcnJycT489YEf2MvjLPYQRhx/AP27ZtW2JHvDIPuk7f8N5ZJ/p/27ZtJcZikAoTcb6jT/izffWrX9WPfvQjSUUEL2MD+C6MtdeoXVpaSrpwzz33pM+kgmFBl2B+YRK4RmQEPZffIDXF47jT7shGMW+Bs/c+DowVLMqJEyfSuNLH+IyhS151wyOVI3Pk4zTIKUhVBgjQbrdLdZ+90ghAr53h3Lp1a2KuGUfGGf9IXukL/u8R0+12e0NzplbVVef68XnK2oJeMr/RRyoHkV8wZhHBh9nrarN+o7exQli8Z2Qjm1bNqULVCQAYHR1N6xJrMWPnlXyiL61UyHnzzTenZxXPS043o79rfPV1LLLgG1U5rFEPttvtWmfUq666Ki1UKCqD6aWo/LiPAd27d29SrjvvvFNS4WzttLg78lYll/RJMsjiODQ0VBts0m6306T1410WNCbDvn37etrE5vjEiRPp6ImHCJMGxQH071oJs132jToW9yOnrVu3lhSX7/gxKAsDiIsCMqFDvkD4USuTypOWx2N6R9OjIv9dDJSJRxVSOUAB3Y+l0KTiOOjcuXNJR4CXpaIf6Qs/omYhqdoEDxIs0m63S6kr4j3RSx4E9IWnj2KRjMlVpdW+8gdpTFhNG+L9/ZgsJvL1ACz/bb+yA38YXXfddUn/MHL4TtzkxnZ6+xcXF5P+sxFkY80xWXRWj+/Rx/h5nYxNHefr+nB8fDzJhoHPxtCTQyOPG4AHDhxIqTPox1h6TypcP7iW6zU6FMd9I4IBY/Bb1fX8mJt+8XQizAkPLLzhhhv0x3/8x5IKI4J5hMsE/eubSdeDeP+6edoP1lrr4oabtS4md5aK4CCMH9a+mEaMcavbvHt5PR9b3xB6+5tirXGP6dhYy/zI2gN6eI9+33nnnaV10Dd4XpygrjBD1TF2lKMvufv6dkZGRkZGRkZGxu8MGjGCkVHznejw8HCyZNmVwnDhCIxlAAvGcQC72127diV62VkwL9njTtEelBF3xp4Co2mZNf+76jrOELH7B/Qb1iD/X1xcLBWO5310OF1Ljihz3ZHwRgSPxOtFit6PsBj3T33qU5KK8YcZiElWPQmwJ9V1Sxfryfs7ftfZsCZWclUahtiHbsH6sZinivDyiqdOnSqxnliIfm1/70dHUUZnDZtay3UM49DQUGovR8GeOJq+ID0CR8OM9dLSUvquJ+r19CFeWowjGmRvtVq1DGCTcY+F3V0HhoeHk4uCj5UnUXaWIQZf+KkBLALX9DXOmYromsL/6gKb+kE8UYifSat9G4+opGKOegAf6y7rPK4ib7zxRtIZ2EJKiPEedpE+AawxsCXxyNL7uKnO+3oR1xGfX/QF7fQxgh1Hn6enp1PqK8Ydmbxcqgfo+alXTLs1yBoX4QxdVWlB1zXXx7p0QvEo259HflrnOuSuDxEb4f5UlUQdxD6NDGlsV918ie5enlrOZfYAGV79ZK1qH9Z03DMjmJGRkZGRkZGxSTGwj6BbIK1WK+1UsXDcF9Ctf3xIYmH56Agbr+++InzP/eWiReMszaC+gnV+d9Eicf8JbxdWAfLB9l1//fWlwtr4XMB++bXqwt1XVlZKVlvTEjTcz/usyknZ/SS8DfwfNiUym25txuSZ8ZrORlSxs3WyN0FVoIyzAvF/daUF3ccx+n8hi1/fAz/QHZhiENvj7Pcgslel0oj3YjxJBst893QrHvQAMxjZHA/+cJ8h7gXrVJWYvc4f0h3514u6+TU0NFTydfL5UReoFhPSegCMn244w+k+uHGe1TECTf1ivb1RTl+7APMBNs/L7jGnp6enSykxvAwd/4f1Zg3050NVGwdZ66qSKvvaFO/lJcY8yMHX+5mZmSQTTCrrvLNgVT6BtNHlW4vJWy/iM3ytU6+6ddXHoeokrq6ddWwcehHbyL2qUlqtda21cL60QX6vtRhzqRzctlYKtqpk/fG3vrZ0u92Sbjbd22RGMCMjIyMjIyNjk2LguOsqH6Q6tq4qEa+kUkmoWMYGeHqJOualKny+zvoY1E/OLZ/IlAK3SpzhgNnAOtyzZ08p4tR9Lera4dZ7ZAgG8RWKqPKX4XP3YQNVfqRVn1dZtrBI0Qcs/n8tH8g6lmajEPugziqti2BE14mKXl5eLuly3VjVjQGIfnIb4S8VLU/XseHh4fQ3vk0PPfSQpCL5u7MiVcyNW711fjLrsfq9Hz3Zb7/w+Rgjab3UlLfXWUhnR2JiZp/ndb6Jrvvx/3UMXlM2tIqFiPeRCvaOJOr+XVheUkDh/9ftdktjA1vsiXnrEiZXZUgYhBGKqFs34rx0trZuXfIMAFu3bi3NzbpTMLAWe7aeU6r1Yq1nZrz2Wmxh/I33UTyp8rWuai2rakeUcyPSBVW129/HZ8pa+w2pnp2Oc7VOd/xZXbf2rqys1D5Lc9RwRkZGRkZGRkbGutDqdxfdarUWJB357TTnfwW7ut3u2Pm/lmVXlv13BVn2dSDLnmX/HUGWfR3Y1LJvFJ2akZGRkZGRkZHxfwv5aDgjIyMjIyMjY5MibwQzMjIyMjIyMjYp8kYwIyMjIyMjI2OTIm8EMzIyMjIyMjI2KfJGMCMjIyMjIyNjkyJvBDMyMjIyMjIyNinyRjAjIyMjIyMjY5MibwQzMjIyMjIyMjYp+q41PDY21t21a9dAN11P3dNBaqP28/sjR45oYWFhXTcZHR3t7t69e+C6rRH99MF6fxt/V3eNVqvVSPYmcvTzm/XWyjyf7Odr0+HDh7W4uLhu2aPOV9WPPp/8a9VE5n3dd7zmaV0dybVkj/fpV/b16nzddwbR+fWi6ndVn/UjO2vdRsz3QevebgT6me8bsc7//wn9rnVx3Otq/kr14+r1jtea73X1dMH5aulWrR3xf3ncs+znQ98bwV27dumdd95J7724cqvV0sLCgqSiYDjw4u3+26WlpZ738Tu8cs3FxUVJRXF63nNtPh8aGkpFnEF8f8UVV6xPcK3K/tprr5UKSMeFYm5uTlJRZBwgO+2iEDtFo6sKcvOZ34ei7fQF3+da3HtlZaVUwPr06dOpTR/96EfXLfvu3bv15ptvpvd+3Xa7XRpfL3jv730BrBp3/5/ft66vInwj1e12deWVV65T8tVx37dvX7oHejo5OZnuefbsWUlF4XheT548KUnasmWLpGLsGCOuNTo6mtqJjIwvusL/0SGfZ+Pj46nNXIM2nzlzJv3vhhtuWLfsjLs/pOLcRgYfA5/fjLu3cXh4uDRHuQ+y0r/0I7ID2hPnOzoS9a3f+b5///6SLjK2nU4n3QsZeWU98qLz9FH8nX/mmwe/B9dmvlfpPEB32u123zr/7rvvpvdVxsd6DVXvv7jBqtvA1K0ddfeoMgAiPvzhD1fepwq7du3Sm2++mdpNG9C9ubm5dA+fk/T39PS0pNWHsSRt27ZNUjGW3W631sBDFtZq1hnAuG/dujW1j/sC3o+Ojur666/vS/aDBw+m91VjXLdB9rW47hprYb1GY2zPWoZnv+Medb4K/qzlXj53vS2xD7zffJ6cT+aqz3z9bLVauuSSS9aUJSIfDWdkZGRkZGRkbFL0zQhKq9aZ74CjleA7V77rFhBWC//Hyh8fHy/tjrGCYR+cbQRYbWBxcbHEHkWrrJ9ay61Wq8eC99fh4eHECDp7h0ULQ8Qr1ibv9+7dW2L6+A7XwrqE5Tl37pwkafv27T3tWVxcTOwF/QYTtbCw0Oi4yq3WeA36FevYx9v1gDZhXUllZoXx4bvcn352fYAVi5aX66i363xotVqamJhIOoiORaYD2ejfU6dO9chx/PhxSYUe/+Y3v+npE6ncb1jmsApTU1M9MqMH1157raRi/MfGxkoyO5PeD0ZGRkqsVBxr7uXsPHrL+KK/zHv0ttVqJV1mDUBvuR99Tr/yf8Y79h3jTj/FedRvbfXIWrlOxrWujtXzEw3aFOcC/cAr/cVvGHcHjFDUc2cgYpsHkR2sdQTvsvI5+sC40wezs7NJJxhfrgujxjjTJ8jq76tOE+pcK86HVqul8fHx1DZfQ7ds2aJDhw5Jknbs2CGpWIuR8YMPPpBUzIHXXntNktJp2sTERLre0aNHJRXj7/flGjA8sNqXXXaZJGlmZqaHEY+vs7OzfY97ZNnO56IT/+fsmOt8nDd16zzwU0I/Eay6//lcUtaDyNa5HsV+cd1GZp5LvB47dqznWrt27UprFrI4o++yA5jh2EaXvV9dB5kRzMjIyMjIyMjYpGjECMZdp/v1LS4upp2u+w5h8cBwYPVh8fA6NzeXrsFvsI74bfQBlAqLku9fcMEF6Xd+rl93rr4eDA8Pl6wArjc3N5d27c6G4OME4xF9tqRVXyxptR+RFbDrx5LgWm4Nwzpx7x07dqS28lver6ys9G0xtVqtktUfLVBnMt1SdDbKrfpoKfp9nBnGaqYvuDcsydTUVK18TSzFVqvVwyTHto2MjCQmkHah+++//76kggHE7yeyyLSb+cB30HH0Ad2hHfTFG2+8IalgCC666KLUNn7LNZvKDphftO3cuXNJBrfeeYXtrmMjZ2dnk87Szssvv7xHZmeV6CtniqO1jM67z2C/qPI1RD73FapjR3iPPLw/c+ZM6ieYoZmZmR7Z/FTB11fk3Lp1a19Mznrga6WfrsR70B5eYUPoNz6H1T1z5kxpnbzmmmsklf0gWS9ZX/k/7yPj6WPS5ORjZWUl6Rr9i+zHjx9PzxfahWxvv/22pEJPec+8gUmcmppK/eAsN+s4YE1jrWMsaNfMzEypv5rqurR2wFVkxZx9YizrdL/q9MPhzwpnxdx3OJ4mVbW/CVyueD1nOXlljYMJxtfwvffekyRdfPHFklbH2E8t6bc6RtjXf04IxsfHS/6aVSd160FmBDMyMjIyMjIyNikaMYJDQ0PJ4okWmdS7g2f3zHk5Fg2WLdYRlk30m8Oa5D4elcUrPhowBBdeeKGkwsravn17st7cmvAoxvXC2RbQbrdLfn3IxI6d37hPG22anp5On8XoxHhft7C49oc+9CFJvayf+9TBXFX5cp4PQ0NDyWqhjbRleXm5ZJX4+NdFeMeI6irrMb4/fPiwpMLywuK66KKLJEkHDhyQtMoo4TOHvkUrtF/ZIxuK7HGsuQeMFv596Dj9Hv3iIk6dOqUTJ05IKnQGJoD7IOOll17acw10n/k1Oztb0nG+Mz8/37fsnU6nxCxHpog5zzhjDfOe3yIfc5so9B07diQ/x1tuuUVSwei7jtB/Ps+45vT0dJo3rBFY0CsrK43Ygui7HO8dffKc7fIIc9qCtQ/rUzXuzqzDEJLaAnlgQ3g/Ozubxhl9o81LS0uNmTGpHAkuFXOfMYGZRjZnSXj9xS9+keT6vd/7PUnSpz71qR4ZndHytRbEtQWddxaridxR59HF+D9na2H8/VQGfWBdYMw6nU4pktgZIe7LM5ZTI8abNWbLli0ln8qdO3dK6o1K7wfni2CVymwzcvCKzH5qODU1VRpf+os1jH5z/1g/CRgbGyudDta1b72I2Qz8Oj7f0T9OKnkevfLKK5LKz8KYTcTZdsYdlpn+4jeeQWHHjh09mSLib/o97Wy0EYwPvqrjPhZldxJ3R2kmgjt+nzhxopQehknCb1EUvsdDk8nBtc+ePZsUcs+ePZJ6qdV+Jkm329XCwkIaGHd+npiYSA9+lJJFnsUdeaCHaTevUca6ow0/luVB4bT10NBQaRJyzYmJiUYbAn8YxjY6pc69PaiF/vcjjpiOw49+GddnnnlGkrRv3z5JxTi//PLLkorN0nvvvZeOSq+++uqe71YdJ6yFbrdbeewfN9evv/56j6xsctxR2g0aFuy33npLv/zlLyUViwoL//333y+peEjSDuRgo8K1Dx06lBZMrg8mJycb5ehjjHwjOzw8nBzg2aTzSl/s379fUnH0yXFZDCqhTxmzGPgiFbruGy7aEzeh9AvpUtxY7Vd22kA/R0OQtQ7QHt+48oB44YUXJBUbhn379qX+oj9YD/fu3SupmN/0zVVXXSWpfFQ8NTWVxpt5gE403QzUHTF3u900BgRCvPrqq5KKcX7++eclreq2VGyW4vH+zTff3COzBxG4scs407/8f3l5OY075EDd5vF86Ha7mp2dTeuUu1VMTEykdQjdYg44AcCc5dkT89RxXfqLfoTM4FpsCNFn9BDdevLJJ5MrBamh+E7T+e65C+P4+4avzg2GZyG/Zf3duXNnWt/RfWTntxgNjOXHP/5xScVaTh9NTk6mceIZirxNjse73W5tsGMM7PL2YwQ9/vjjkornPnuF2267LV2fee4GMs861hTfA3Ev+uDUqVNpntNPdal9zod8NJyRkZGRkZGRsUnRiBFstVolKwPr5cyZM6X0B34cCnjvDNvk5GTpGNFZMhgKLB920VjE0bESy4TPSKTcJFgkttODUN58883UXtrJd+kfPw7w1ATRGdcZVOAWIcxLTA1DuzwohbY2YcW63W4paTRtXV5eLh0ncG9+447y7tg8Pz+fWAaOeDlmfOmllyRJTz/9dM810APYEjA2NpZYQ+7PsWNd6qG1EJ3HaS/3fv3115OFSPvpC37D2MBs+pHmoUOHkjXMd7DyYAaxgv1annZky5YtJWdmGAlPdH4+dLtdzc/Pl1wZ0PO33347yQ4jwD0Zb+5NX5DglrE9efJkYlDoAxhzmEF3j/B0DTCwY2NjSUZYBRiDujQsa2F5ebkUtMO9T548mT5jDKKrRJSZoyJYMnTz6NGjifGB1WG86R8YNfqIecX36YOLLrqo5AJCPzbV+VgoIMp35syZNFbIQjs9VRLtdZZiYWEhsRyw4H4MBuhPrgl7whjHQBl+S7+ulXC7Du12u3QcTvuRVyof58MQwuYC18GxsbGkG/QPAQX0CWsDrKnPK5j2bdu2pbWAkwCecU3SiayVPiay97zCaMII//znP5dUsKTMf5jsw4cPp/lC/yEr12L9R59ZB3iNaYU88I4+bnIC0Ol0ao+Y5+bmUntg8dB5nkuMCfLdc889knpPx/gbPfXUXrznHn5NPr/qqquSjtcFNq0XmRHMyMjIyMjIyNikaMwIAg//P3fuXMkq9iSgWH3OTvG706dPl3zrsLTYTWP5sIumTVgKXOvo0aPJsr7rrrskFef70S9vvXKPj4+XLF2srsOHD+upp57qaRcsDvIA2u+WTrvdTlYH7KazC+5DgMxYQjG1Af3igQf9WgytVkvDw8Pp915Ca2FhocSGekoQ/zwGN/CKNYwV9Ktf/UqSkg8evlbIjJXpvjjtdjvJTN+CJrJPTU2V/FRjom/YEcaZscB6Ry5nTdH9ycnJ9FuYNVgSdN/99Jgba/mFMNf4bpMgmcnJyVLKGsbs5MmTPayMVHboZqzwbcHqp48OHTpUShOCpY0ue3og97OJ/pKeJmqQFCoxIMTZyJWVlTS+7thNu2BqPHiINt5777269dZbJRUsDuNIH3znO9/puab7z8UUQR5I4oxeP6hK0ozuHTx4MPl1weq4r7L79TmDPTs7q2effVZSUQoM9ov36Lyn4WJNoU/efffd9Bs/sWky32NRA2fiJicn09igG8jOd9AD9LeqCIGf9PAbgv48WARUpRnyvvagvn5QlUg8rnnu+w3z9+ijj0pSegbSJvzYYLB37dpVCqJg/Xzuued6ZKQ/XX+jv7bvHzzAqR/EcpcezLGwsJBkZm3mBAjdZu3Gn5N0SDDEnU4njREnPrST8WTs6Gd03pPu79y5s5Rmh7Ugp4/JyMjIyMjIyMhYFxoxglLBhrD7Zrfa6XRKFqtH3WH5+I4dS+7ll1/WI488IqlgeLAU+Q6WNcwEjJBbWSsrK8l69GS4TXwEO51OkoN747/25ptvJssGa5nv8nlM7SIVVhNMx/z8fPoNVgSlhfAvxBqCbcSC9OijrVu3lkLr8T9q6j/haTuwiBYWFmpTAiCzJ1WF2YSxi6wYr+gIfY31x3gTJXfnnXdKKqyqsbGx1B73N+p33PGTc59NfKE6nU4pwhudYywYQ0+EilX41ltvlZKNM2+w8vgufR59V+K9oj8YOkPfezLT9SCmy3CWd2RkpBShSjud8XcfN/T29OnTaZzRbXTC/Wac+eee0fcRXfHTgib+Uu12uxShGstIcl+fF7x6NCwMDUz2rbfemnwmY9JZri9JN910U0+bbrzxRkn/r71z6Y3sqtrwqptddjnuTjrddqBb6kiAAAmJe5ggIpCYICQQMyQm/AD+TsRPYIYAIYUgJiCB1FKGiEtQ59Zp8NcXd/tS7bp+A+tZZ9W7q4LPqQy+L17vpFzlqnP2/ez17rXeVa0PrC2DwcD7W30Cm/qK6e+j9JMqINAW1ENPdej3qAigawIyQur3rKdK6g+2vb1dpKtTP+Y6mM1mPs80Uv34+Nj7UecenzN+40kZ1zU7Hx+rhKO5D8w6a5qmomMO7u3teVtr+ssmaRWXyaXE9Z4xQPk5tXnjjTfMrPLbhKElJR7s2NbWlrebiicrm8t9qRdtEdO0RUkeMysinpvWXcf8yclJEZPAc549gD5nmaMx4QXrIHVlzlI3XlWEXiV14vO96YkPSEYwkUgkEolE4pKiMSMYIz3NFhkcdrB8hx3wKq0odv1YEq+//rpHHqEfBHuAjxg+VzCGkQmK32u3284mrtLAqwuNiiXC6d69e35f2gWrCR8CLEfAjp5dfrvdditJfWuwKvAlwurUVFNYji+88EKhU6jfrYNut1swHvhK9Pv9QrMQq4koOzSWqA/tSGTVzZs3iyhrTc1H/yojyCs4OzsrrOOm+lKtVmshVSGWZ/T7ZCzRj+qbyeewJVixWP2RSYcFYUxr9KKOLe5Feba3twvmN6boa5JakLmrUalRq42+0WTqqpfGfImR/oxl/GI1MTtMoYpUUxf8qc7Ozrzd1Dd0PB6vlWJPf9vpdIo0j+qvqfNd+/jWrVs+Bhgj/EZ9RGmbz372s2ZWMa+M88lk4u3A9dVvqi7UT4rr7e7u+omEikBr1DbrmY6PwWDg6zdtwP3oQ9pkVVR2ZH800nyVOP1F0O12vZzMN9Yts8XkB2YV80P7azpC2oB17PT01OcDzzbAvKYevKc9qQ/jIkbKU2b1c6uD6Berp1/xZAQWd1XELML3vDL2x+Oxj23alGv85S9/MbNqrdDTQ04fIlOsSRliPZpATxDiiQBzk/6HCWQvwHr/+c9/3syq/UlkkFXJQ0+adL1hjKuObEw+oaerdde5ZAQTiUQikUgkLikaMYLLfAjYpR4cHLgVAROg6eiIHlQ/C7JDvPXWW4UfBNYQu2V23PjLYCHE1HIA1gILVs/V69Q7ZlUBWCkHBwdF5BysB9Y7r1/5ylfMrGSIYBRjXdRCoB78lv9H3yWzc0YBC0WjCJv4jkyn08JHK0Y60Z/0Gb4jv/71r83MPHMGwPeJtur1en5dLFCupWm+YHmJRNOovV6vV0Rjgaa+I8r64Ntx//79wvcOvy3GvGoP0i9c6+DgwFkRrqUpxZRxVS0uxsvR0ZHPB/xzVmWpuQi63a63K2XEYo8prJhXyiLwXbT0iLikHnt7e84acA218rmH+ujAwKiPkVnVxss0x+pAx3yMGta0ZvSBpovStRCW58GDB97PnHJoyjlYBU5HYJ/0hCX6nDHuKHuTCMoYPcr4jX63tC/XVk1Fxq3qCLIW3bhxw58FejqkGqO8V9UIMJlMFvwF42+b+ggyBtVn7+nTp8U16TtNJUqZeH6hI/n48WNf/1SFgHZV/0OeDcqi7u3tFWlG6+rERsT1ketEP0/KBQNIykBlupTVZex/8MEHnomD9kCDkKxD9DOnX/gbUmfmXafTWZjfWv66iL9V1vnJkydebqLdNVMQ5SSTiLLTkWlmnqsagGau4r2qgsTn8TqR0mbJCCYSiUQikUhcWjTWEdQdKLv9TqezoD5vVlmIWAjs4LHu+S0WcLT2sAxgX7B4sIqwjtldayRb9CHvE7uJAAAgAElEQVTguprIvk692+22150yca/PfOYzzvhRd5g/fCFgMPHzoT5YjKenpx6JRDvhT4HVif8X91WdIcq1v79fsCJN6079lVnCmh0MBgXbgS/YX//6VzOrxgFW06uvvmpmZl//+te9XtSVsaA+GfgCcg31hYs+Exo1ug4bOp/PvfyMo2WRdLQzUcIwQ4wLxjPWK2zZ8fGx+9zQr1xDfVLV5w52jHLdvn17QZfSrPSxq1v3yNrGMp6cnBQRkZpZiD6ECWScMIdv3bpV+M5RXj5n3GofcC3WluhvpYzQ2dlZ42j5WK/ITqn/mbIStJPqyDGe33vvPV8HGcvqUwe7ALvLGNP2fvHFF729VC2AcdcU2j+z2Wwl2x11Dc2qMcf/mbu3b9/2fuMaXDMyPrGu6gPH69bWVsFQroNWq+X9QBljtD7rtfol0s6wN5qLFjWMV155xetKv9IG1JFnhl6T/9OOn/zkJ73NVVmCsVW37soE04dRSzauXWbVeqiR/KyNPA/ef/999xtnTaOduBbtih4fayGgDbrdblHWpr6BXIMxxTiiTE+ePPF+17zafPe73/2umVWndfQHY8msXE94z7U4TSJbEm1Pm3Cv5557rnjmg/QRTCQSiUQikUhcCI0YwbhrxhLBIhoOh27BqBWHL13U1DGrrIKoFh412syqHTb3wa8GaD5jrnl4eOiaXRpJ1zSCkJ08u3D8FYfDoVtDWHlYZOhjYeFg/VM/3h8dHblfhEZXwyKob6VawNGHLGauiNjY2KhtOUVmKPp3mZ1bdFh+WE1EgKkmIDl/0f6jbba3twvmiTryXvWZ1BcqRoSrX2TTyMn5fG7T6dTvFVkIrq+ZbnSMwVwxPmFLsITff/9971f85WC3VL9uVT7Z6F/JZ7wyJ7e2tmr3e1TvV328Bw8e+N+qFwm7S+YBGA7GcdTSVLYe9oPyK9PGK+OCvolzOkY0m53Pm3UybGju9OgvrH6R9K9qWdJ+WP3D4XDhRMGsYqC+8Y1vmFm1lsB4qWJDZPlVQ01Zmjogv7hZmQmn2+163Vf1DUyKMoa8jsdjZ8FZSzU7zTImMt4DTCYTb3uNQG7qI6iMDf3y6NEjf/4wFqiTKj7A6pB1gzb51Kc+5WoJrGn8hvmhWnv4hvFKu0YNV+oOe7mxsbGWjqBe9z//+Y+3J89oZR2j37NZlWmEa8xmMx/zUY/UrGpHniuMfa1zZOLVV3YdRnA2mxUnSJTt0aNHvpaRQYQ5yLjFd13HLzg+PvZ205zIrI/4UvOesaZZdv7xj38sqI1E1GXFkxFMJBKJRCKRuKSozQjO53M7PT0tduHRUsQ6Vz003sNOwCBg+cCWHB8fu98Tu2AsAvwi+A3MHztzdu/cM/owxTrEstetu9YPi+3KlSteTj3P18ggLFusg+gfggVAfl2iqbkGViVtoLlosa673a6zMrQbiNkw6tQfxNyuZudWGX2meXf5nfrP0Vf03cnJiVvDWF68Vz0pVVvXaO3ZbFZovMWxWtdqHI1GRW7fqDMF88J3qBt9RT9TTqxlxu/R0ZEzA/QfdYc1oT4xM8OyusNgmlXsXPTBatLv6n/DHN7e3i6YH9UW1RyzRBvy+e9+9ztvP3wpf/SjH5mZ2U9/+tOFOkb/GLNyXJAFxqyyuJknvK+DOI40m1Kv11vImxvvpfnBlTHme3fu3PE2hTWCIeckQxkXZeditLZ+d11/OVUsiCybzi/ea/5TZbzwFX3nnXf8O5z4fP/731+om0YN04f0AfUdj8cLEeOxzHWBP7CevEQGTiP5eWWeM8bRmSOy9pvf/KaZnTNHjHXmCb+BESIylfYlwpp6MaaOjo78M8ZhZNiaMGSrmODIPKnfOWDsw4aSK5tn0P7+vs9nZW15fsIIsp6yFurJVtSvVWZ6HWZw2e9jfmiYzGX+52bVHGB8soa/9dZbvl7yHZ7RPD/xP9RnH3WP9eW3rBVN0ThYhAozWaKYKIXTRVuPR5QCp4H+9a9/+aR+5ZVXzKyaBCrXwILAxovGBWdnZ/6ZLhRNQuw3Nze9I7QsZ2dnfpzHAGEg68OdMHnaggnQ6/W8nEwkfsPmgbpyTaXVY2ocFgY2TJRnZ2en1kSJx8LxHtGZmCNhBj3Qo0uCR2hHNr6z2cwfrDgW00ca5ECbMNZUnuPq1avFURRoKqHCtbleTLfGZOU7lJe6aXJyFhSOGA4ODgrjCpCInQeqSquoePHOzo5fl/HIQ6cuOB5cZchECQP6gHqw8NNHBEFFGQ6z84cn7UO/69rwk5/8xMwq1xDG/jJndl2Eaa+mD0Ttd8bodDotJHOokx5p8qrHv2+//bbPGzYEbAR+/vOfm1nVdxwV67FTdD7X9W8dWYllR4TRiNaHuAZ4sKbRboxP+vjvf/+7l5fxqpthlb/S41rWkNhP6r7QdL7Tz+rOcXZ2tiCwzGfxlfX9z3/+80LdY5AYAST0N/PjV7/61UJZePYRYEibsc7euHGjEFqPx+91Eft92fE699D0j6ue7/QVbfDuu+/6/KXcKliu84n21M3eZDJZOHI2W182SOvM65MnTwpjUEWnf/nLXy7UlXWNZ/n9+/cL4obyQ/xQZ6Ci0bT3eDwuAgZxmaqLPBpOJBKJRCKRuKSoTYm1Wi3r9/u+E9ajp83NTd+5qiAuFoQyWBr2/+9//9t/c/v2bb9u/I6KuwKuBXu2t7fnO26sCD3iq1t/TT0E43Xr1i23wEgHRTnVQV7FiWMaG02/gzVEe+pRHFYHVjTl2tvbK+Qr1klO3Wq1it/F4yHqxD0JelAZESxfXuM4gPXCKuLolLFDO6mDLUxRTHSvzvXxmKtO38cAoVgWrvfSSy/5fTW1nMrKqARMPDZlXvDKEQFzDOsP2RXGGg7VUcQ4Cn3H79Zlhqi7MkLxuF8ZGE2ajlM8LABzk989evTILWYCjBjTv//9782sGiPf+973zKxiOqN1zD1jMEcsR5OAiVh31poocq3jSEWVqfOXvvQlMzP73Oc+Z2aL1j1Hpb/97W/NrHIFYd7DMsAMMq+YZ7EvdK3VgKk6iFJZGmgVgynUPYh24niP9VelX+KRIgwQbfDVr37VzKp2U8F2TXU5Go2KE56mQYGkVKQvo2wM9cJ1RV0wWLujrJZZtfYxh//whz942TkCZr4zP5hHzHfGCWOKteTq1ateVu4Tg6jqrvXx+3rMurm56X/zbEYYO8ppmZXPOJ5Lo9HI10v6fZWoMoLN/J91Pgpd675ined7lL9TWZrd3d3ilBNXANbz3/zmN2Zm9qc//WmhfoyPnZ0drwOMOc8KTgYYI7B71FVPJOJeJIrc8786SEYwkUgkEolE4pJibfkYDRqIfnJ8xpk4VgvWu559RwdwdrR8pjteXrG41FcH9uz09NQtlGUOr3XQarWs0+kUzqlYOtPptEiFpIK+mj4KxEAQ0u7gN4PlQLuqWCgWIkEatMlzzz1XpOLit7PZrHGqNdrCbFGYmj6ADcWax6LF0lVh4ZiSSiUTNEUfgtI4x9Le9DEsRBxD6tTeJFgiMiDqJ3L//n2/B/5PSCUB+leTqWPR7e7uunWpPmAqbArrwPxBnJVrDgaDwmdkXSkN/V30PdKAAuoUx1p8T1sxbmezmafP+sUvfmFmVRL6d99918wqZgAfOw0SifI4MZ2TWekjWgex7irOPB6Pi8A31jiVw9H0kLACvV7PGRUYIFhQAg3oX9qA+a0psKIIcgwY4391MZ/Pi99FNo/7rmINWQ+Y/zCZ9N2nP/1pZz1Z62CGX3vtNTMz+9nPfmZm1bynPtST3z18+NDvR9uyDjWp97NnzwofXNri4ODA2wEWD1ZHGSvqx0kH69jdu3fd9xcmiN9wLcaDBlDos6XX6/nzhO9E0fF1Uq4pptOpzycYwR/+8IdmVkmjEfRCmagXc+Tw8NCfg4wZ6sT6z3vWBU2VGeXiVrHdTYNFVgXKvPDCCz6GGdOMQ9ZknkPUXYXS5/P5QqBdfFXfS+qoaWjjegYTqacfKR+TSCQSiUQikbgQGjGC4/G4YBiiz56mL1M/JQ07Z/fKbrrdbrvlhPUIG8I18BlRliGyc9yb76oQcN2IKqInNYVSZHdg6bAI1F9J67EsKT0MgKbm4z5YusqCqnUVpSRUALwJZrNZ4WcVBYCxZPFVpG4IbmP5EgnO+xiVqQnNYbawNpFfIIIOYJnFeq6q6zJfx/+G8XjsTAz3iP6WGr2s0i68p++oMyzp06dPi99gGdLGWPvqS6j+Njs7O4XvzTqRdDFClOvGxOkqGM64pf2xUjXKPfryqKgyEZGw3NSD+Q7jBsNK/0cWS/1xh8NhbXYkMsHqO3R6eurjlXGqJxeAftcIy06n49eHbYAhhA1Vf1jmFZ/HKMRVkbJNxNSX+YqB6XTqba5rr0ZpczpDus3oz4k/JBIj+A3jKwrzwtoCswZTxDg5PDx09lvlwpqg0+kUPlnU8/79+z7PVamB9zzLWOsYp3z+8OFDbwfqCGhrZLZIMcj8p91p3+Pj40IRo+mpF1gmnWJ2PtYoN3OVdYtECNSVMsHaRt9w1jiekzDBKhiuiQt4hSXtdrsrWe+m6SSVxY/KJNyfurKmMUboX5UTiykw+Q3tx1jmuc9ayPOG33It0O12/bvKXmeKuUQikUgkEonEhdCIEex2u0XkF4zIxsaGWyzsimEMsFbZVas4MD5SV65c8VQtmmpM0whp1K0m7m63224p8pnqDdVBq9VyiwirhB398fFxkQyde6potqbZ45oHBwfOElE3LEJ02bCOuSYWF/4pMaLp5ZdfNrNSey7qv1203p1Op4hKiuwv98KXUfXciJhUrSgsx6dPn9qbb75pZlWbcj/YEvxSND2PavuNRqPCl2od9Hq9grFDD/Gdd94p0o/xHuYARohxAasT9fNimkazyupUjUz6G8ube1LfDz74wH+rKfqa6IrFVGpcBzb36Oio8HHhHrSXCqGqr91oNHJGjTWAMQTzq8yQanmCx48f+3c1qrZJ5Gyn0ynWFsr68OFD70fGMu/pQxgsjXrn+71er4g0Z4xzKoJPLb7D+Msxn+Kc1jSaqjVYB8t8Q7lOq9Uq/J51PVemJmrNmp2PD12DKTfXRIePujKuGSf45HY6He9v5hFoEjXb6XSKtJDo/nW7Xe8rnmWAcQmbB2PJcwuG+/j42PuX+csax5zlGpSDOUd/U4bDw0M/dWGc0cYqMH7R+i9jgLk37csapyoBPKdg+/SEI67HrGG8KtPKOoCPIO+pO2Wi3OsirhFcL2ozsrZwMrVKlYP9kO41nn/+eW8/7kV78TyBOVWRek1XaVbtQehvPQ25KJIRTCQSiUQikbikaMQIzmazwhcmagVhCWLVYb0R6cmuFauZHW/UZcOSVn8YZQB11x5V/80qayT+pklGEe7V7Xbd6sNSi6r3mgg++m2ZlRY6FgRWwt27d/03MDxcn10/baNK+rBOWFXXr18vrPHYX3X8CPj+Kh+EqFdFOdU/jXqolRR18oiYpN+BRtmu0rXj842NjYXsF2aLGlVNdAT5DZYu5e50OkXaII084zcwgKrCv7m56f0H+0E/w/ACxjQMhSr3X7t2za1JzcigmScugmXsSNSv0uwA3FujnWNkr9miXzG/0QwtABYM1kQtXxiC+XzuPjjKGjZhhmGHYv3A6elpscZptgXYfcaKRgrGsUjd1acK30AyTCjLQ71iCj3NANPUR1BPfpZlFuEz5qwyxLQRrA/1a7fb/jf9TzvR//hJorUXU1qaLaYS5eRnmeZhE1B+1cyN6ec0naHq4MEIwuoy/4fDoY8Rys045b36hnEtWCkYwhdffNGZRuYH92+aWWRVasFut+t1VBZMfXKVqYuZsWBDY5YZs6rNWQthgBn7PEcZj5FR/qiio/WZEp8ftC8MJWuz+sVqdpAYD6F6mzwbVPuTdtWIYO4ZNQnVj7nuaWcygolEIpFIJBKXFI2osajerz5jo9HIGYCY95XfmVUWIsCahlm4du1aYV1oxDH3UGV3ZUBijlxlAkejUW1WbDqdFmrelO3x48eFpQI7QbljHc0qKxrraWNjw9kNou2wgmCIVN8IJoF64kcxHA7dh0Wj25r4DM3n86I/IkOrunfaFsoMKiva7XZ9LCi7iGWorKJab8v8RFQ/somO4LNnzz7U/4p+5TuqOYg1T52ZA3z/5ZdfdksfDULVBFOV+qhNZVZZiqenp84qqD9uE7/Y+XxesDxxDGqOZPVXoW00w0z0Y1ImiFci67DAgWZyiVY012XMx8widf2IJpOJz03V+RqNRj5eY5YH7mVWWfsacR4ZTcYIjBlMIH5G9CvjgjUlzhuz8zmp2qzRZ7kJY6JrZlSL4G/qRrtTH9pEGTXYkgcPHnieXc0gFKNUYz1oI/wo+f/e3p63i7IzdfscdQj1bY0qAfo80jEPQ8c1aEfKuLu762MEvVX1N4QlVd9aPQGKrDU+Y6Bpv6/yEZxMJoXvp67JqiSiPpCDwcDbgXLzbFPf2niiF8sVffl0bVM2sw4iG8prvD5tT7mYmxq1y5zQNplOp/4Z6yLrOs99xhJtzlpIOaJmpa4Fy3z3L4JkBBOJRCKRSCQuKRoxgtPp1Hepan1vb28XbBMMANF27PrZCRMt88c//tF/w84aixpLRyNNNZKGz6P2D1YZYCfe7/drW4uj0ahgf9iN7+/vu8+LWjLs5pVV4BowRv1+39lC6qqWAVYA77GeYr5is3NfE9hEfhNVy5tEDasfQ9RDo7zqn6KWGr+hj7B879275z4jqj0HO6p+mUD9prrd7soI5+jfdFG0221nLehv+u7KlSsL/oKx/Jr3EraWOQFzcPXqVWcEuQ9zSjMkUA/6HT8q2uSll17y+UL/08Z1dSTn87lNJhP/PfWJDLMyMKuyz2i0MMzQdDr1MYt+pEYPa8Qu94z+sGbnlrgyFbHfm0D9LWMe11WMP/2LX5TmV2e89Pt9/w55dvGTpc4wRuhzEk3KXIz+xzrXIqvRhBnTORR9TVex37peqc5g1B+kDvQ7DAusB3XnRACGmPam/WNffBRRpLPZzMcWY545devWLR+ftL0+E2CEvvCFL5hZ1Wf09cnJiY9t/Lx03ef+XBtVBlhRWPFPfOITRe5t2ngwGKytKRjRbrd9/uqpHeBz9eOn/a5cueLfUWZf1xCNnGVeRXUQ9Tlfx1cw+s7retVqtYq1TrWQlUUEMRuVqqmoPzx9qGs132N+7ezsFKdtmlXpokhGMJFIJBKJROKSohEjGCNf1AKNEcXseNXvg1090XD4icT8wlgPq5gVduYaEao+Je12u4hiWsdy6HQ6brVq1O5oNPL/Yflhpap/l0ZdU5/BYODWZMynGMut/nm0r/otDAYDb0fux/+Ojo5q17/Vankb8lvKMplMvHxYsuq3ibWs1h3teOfOHWfIuA+sl0bj8RvNshEjulcxFk3qvbGx4f2ClcpYu3r1ahFRzL3pE9g+6kEUIX17fHy8EEVrZoUvCe1Fu1IOfG9ijmJ86jTPN9eqU/der1dkCYkMCOXUKEvqythmPYA1h02ZTCbOiMP4MZa0zhpVDBMSmemoqxf/1yRiutVqeb/ze+q1ubnp/RvZzVg+2oncya+//rqZVT6P0+nUxzzf4fpf/OIXzczs1VdfNbOKXdJ8xsv8pWL5zZqtda1Wq2CTovKCsg/qq8XntI1GhA6HQ88owZjgf8z7H//4x2ZWjXHGUsxTbXbeJjBryi41iRqOWoGUn3bf39939k51OikD+WE1+xPr08nJyUJOeLNqrhJBq+wo7YlmIGPv7OzM2039y8bjceO+X4bxeOxjQNUCNHqYz6k7fRejxd9++20zq/YCsJ1A/6+6nN1ut2CA1+n3drtdtBftPJlMfB2CnVs19lXNJKpJ0B7qS8l9qCtrCJq6KCdEf03NKc7968YAJCOYSCQSiUQicUnR2EdQIz+x7s2qXX20AMys8DPCb4L/Y2Hs7Oz49WC02PVHDR2zUrdL811GqAZhXZ+h+Xxu4/G4iCLDOjSrfJuwDGE07t69u1BedvJYFrACJycn/hssQcpLnfT+ypbRRltbW0Ukr0ar1qn7aDQqLKDIVqKRpewtddTcpKq2/9577xXtQzuqOr36fWo0WbvdLjTQmmI+n9vp6WnB0MaoPZgNIv80J7ayZfQR/dHr9dw/UhlUAMvM/RkfjHkiKXd3d/1/qmfZZMw/e/assPZhM4bDYaF8r349lJsywP4xXq9du+YMAX1Gv8OcaVSmRuvF9+qb1ERLjbrHaHjqx5oUWR3WMvpQxzZWPhHBMIObm5s+lmGNsfzJXoBvIHVUv0TVc6PsZmXUYpM2iIinKcqQ6j01ylFZ6fF47N8lJy+MC/mW0dTUa2impHa7vdJfqolv5HA4LCJAuc7zzz/vY5pxqv6R6kfH2Gdt39nZ8f8xnrgf/q46Z1VXjjaJfoCatakptN/jiQB1ANQDNl9PHXT+jMdju3PnjpmZvfHGG2ZWsV5Ao141viBqLOr4Ax/Fuh/LPxgMvG78T3MLA9YrPQHs9/tFXIOeHq2Kwv7b3/5mZtWaOBgMCja06ZhvtBFstVoF7RoHKzIHPOR4UOnxEhVmEeV9v9/3BmdSqMMxjcd9VfA2Njb3jYESZg1CrNttGwwGRcCKUvxm5snU9QHHvTWFWnQYjcEnZlU7QpNrknLuy7WjIy3tsyqYoQ7iJkIftt1utziuUYpey8AmiQlw48YNT7fD9ZFB4chVjyE1ETeYz+crhU7rCkpzHz3qiJsQBE/Z8KuxQduwQeD7MU0XY4D5o+mX2GRyf+YG7Ux77uzsLKTxiuWoGyRktngMqH3abre9bhhBgPlBeelDxmt8WGFMfetb31q4BkdBOsdUSDWKl9PvKj5cV0Sdo1H6XZ3I9/f3vTz0kTqN08+ajou22d/f988IjOC4W5PPU49lgVpAjUJ1i6iDZSnm4tGTrudahmXGGdel/GyCvva1ry38jzWO/7PxW2bgmy06xzd9GIJWq2Wbm5sLmzazxY2YHg1zfKybD5XQoc+ePHnic5+5ilwQ32G+x+divEf8PWXkfvE7TVLsrZLlisL3bHZ1c6TBGxpQ+ujRIx+PrGHx+NWs2uyw2SVQJpIcZstTwq0TJLRsfYhSRlGazaxMq0lbsHGlfKxXcXwwntRljbHPekn/01aUYXt7e2VQSO1gyFrfTiQSiUQikUh8bNA4WERZvhgYwO5X06vxXXbPmqA9CqRquiANSee3ahmotdxqtVbKmTQ9Go40r1nF8sznc/9MndxVkJcycaQYhXSxSrAQsT41NR/lpy1wJseSjGKiWuYmzNCy0Ppo/Wl7qJiqHrHAIEXmjmMwrCGOOxkPGvhDOypbEhlrZUO63W5t6ZwooBvlBHjFotUAhZjyLr6SHop6Xb9+vWBvtN9pT95zDYIKsNSXCaUrI1EXyqrGY3fKo0wpZaBcWr8YEMaYZR4wf1QwVZlAlRGZzWYFExXF5ZuwI5RXg1C2traKYBzYXI40da3jSJHxEtkcykk7Mo/UqZz7axtEaP836ffYt8oQxXKtGmvKTurcODs7W2gHPjOr2ieebsR7fphIvLJYTeVE9LQpunewliF7A3OlAVL0rQrl9/t9/w1jBCaI+2n5YR1pm7jmaJDAMneBiyK217Jj9lUuCbQJ9VE3opgkALcHrvXlL395oQy0BWlpCb6BFdPxsKz86zCD8fcxIYU+fxTUXZ/z8XnA9TQFJs8+XR9pgx/84AdmVq2nUSBfx3jdMZ+MYCKRSCQSicQlRSNGMLI/IKZUYYfL7h12J6ZRM6usZPVv2N7eLhLV6+6ZVywDTbcEptNpwaio9EgddDqdIsUclt1wOPRyYuG8+eabZmb2z3/+08zKdHDK7m1vbzvrEUPOzUphW3wFsCSwEFW82qzyrYi+DHX9paKvWEzbxb3UqRlg4aizM+8p9+3bt50Zgu3CVwQLUS3fVWLG4/F4ZQqkJtjY2PByq5U3m80KaQfGPH2mItqMRZisVqvlbIiK06rlzffwq9IUb9Pp1J2YNWiprmwQ/lLKyMfAJe6L1Q6TTfmpK2MQdkSDXWIduBb30Xm+SjQ4it3r9aPv00URrW5l5qI0B+sfYJ7RBrzSHzHQS2WgGEuUPzKQ8VURg2LUP7aJj+Cy9opCutr2ujYom6fyVzGwhzrDgkT2iO/GzxVxbquPYhO5qJ2dHZ9nylLOZjPvK/zbme+aMpR5yGusD+VkjVDRdxhAvof/tMrzPH782OcYpwjMsXjCtA4iO6brqgbl6SndMrFofH9hBjUARZli5o2ykTFeYdV4rFtPHTeR2VZ/V/3uh51M8V5T9Kl/JPsm6sx7TTkay6pzq+5pZzKCiUQikUgkEpcUjeVjNCoSC6nf7xeshyYjZ0eM1Y/FxeewZGaVNc+umGuo1RFFneO1oqC0ik83ZYhUKBkGZ2Njw3fmsHXf+c53zMzs29/+9kJ9NL1M3NmrGC3+RrzHgtBIOqyB6Iuj8iFY57GNL4pl7RXHQRR3jeVgHGg/KHPY7/e9X2kP9S/ViHMVL43+n2oVNY2YRk5C2bAocsw11ZpTvznGpwqmz2azIhoYRgho1Lv6MEWhcX6rUg5Nxnz0NdXXra2tQrKJeQ2Lq/Me65/vTyaTIp2i1l19f5WdjX0K80j/aPrJunWPCeO1PrSnst1a7lhXs8U1SBlmyq++TqtkWkBMI6frYBN2ZDabFb7AH8bEKGO6KvXXsihuZV/AKgmQZezjOkLCeu2Tk5NirYnrL+WiX5V9Zo2GCVQ5p8PDQ18XeQbwzFAFDNYSFSuPfmdcS6XFmiYOWNYm/E//r9Hrq/zW+LzX6/lJiIqia+q2/yYBM5/PP5LUclrG+Hf0EQSr0uqtmqvxmUwfaWpBTvbqpEik7prGM30EE4lEIpFIJBIXQqvuzvHmzZtzxFE/Dmi1Wvfm8yk2hR8AAADCSURBVPnNi3w36551/zgg6551/2/IumfdPw7Iul+s7rU3gq1W68zM/qdJwf6P4vp8Pr9QjH3WPev+MUHW/QLIumfdPybIul8Al7ruH8W5eiKRSCQSiUTi/x/SRzCRSCQSiUTikiI3golEIpFIJBKXFLkRTCQSiUQikbikyI1gIpFIJBKJxCVFbgQTiUQikUgkLilyI5hIJBKJRCJxSZEbwUQikUgkEolLitwIJhKJRCKRSFxS5EYwkUgkEolE4pLifwGvweOattTysgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 800x400 with 50 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x640 with 64 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_mnist(data.data.numpy(), (5, 10))\n",
    "plot_mnist(to_plot, (5, 10))\n",
    "plot_mnist(f_to_plot, (5, 10))\n",
    "plot_mnist(dec_to_plot, (8, 8))"
   ]
  },
  {
   "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": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
