experiments_habr_part_a.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dataclasses import dataclass\n",
    "from datetime import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import numpy as np \n",
    "import torch.nn.functional as F\n",
    "from torch.utils.tensorboard import SummaryWriter\n",
    "from torchvision import datasets, transforms\n",
    "from tqdm.auto import tqdm\n",
    "from torchfuzzy import FuzzyLayer, DefuzzyLinearLayer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 256\n",
    "learning_rate = 2e-3\n",
    "weight_decay = 1e-2\n",
    "num_epochs = 50\n",
    "latent_dim = 2\n",
    "beta = 1\n",
    "gamma = 1 \n",
    "fuzzy_labels = 12 #10 цифр + 2 класса на цифры с кругляшками и без\n",
    "unknown_classes_ratio = 0.0 # доля неизвестных классов \n",
    "is_fuzzy_loss_active = True\n",
    "\n",
    "prefix = \"vae\"\n",
    "if is_fuzzy_loss_active:\n",
    "    prefix = f\"fuzzy_cvae_with_unknown_ratio_{unknown_classes_ratio}\"\n",
    "writer = SummaryWriter(f'runs/mnist/{prefix}_{datetime.now().strftime(\"%Y%m%d-%H%M%S\")}')\n",
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "\n",
    "if is_fuzzy_loss_active:\n",
    "    gamma = 1\n",
    "else:\n",
    "    gamma = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "transform = transforms.Compose([\n",
    "    transforms.ToTensor(), \n",
    "    transforms.Lambda(lambda x: x.view(-1, 28, 28) - 0.5),\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_target_and_mask(target_label, unknown_ratio):\n",
    "    \"\"\"\n",
    "    Возвращает вектор целевого значения и маску в виде сдвоенного тензора\n",
    "\n",
    "    Args:\n",
    "        target_label (int): Метка класса\n",
    "        unknown_ratio (float): Доля примеров в датасете, чья разметка будет игнорироваться при обучении\n",
    "    \n",
    "    Returns:\n",
    "        tensor (2, 12)\n",
    "    \"\"\"\n",
    "    t = F.one_hot(torch.LongTensor([target_label]), fuzzy_labels)\n",
    "    if (target_label == 0) or (target_label == 6) or (target_label == 8) or (target_label == 9):\n",
    "        t[0][fuzzy_labels - 2] = 1\n",
    "    else:\n",
    "        t[0][fuzzy_labels - 1] = 1\n",
    "    m = torch.ones((1, fuzzy_labels)) if torch.rand(1) > unknown_ratio else torch.zeros((1, fuzzy_labels))\n",
    "    \n",
    "    return torch.cat((t, m), 0).to(device) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# загружаем обучающую выборку\n",
    "train_data = datasets.MNIST(\n",
    "    '~/.pytorch/MNIST_data/', \n",
    "    download=True, \n",
    "    train=True, \n",
    "    transform = transform,\n",
    "    target_transform = transforms.Lambda(lambda x: get_target_and_mask(x,unknown_classes_ratio))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# загружаем тестовую выборку\n",
    "test_data = datasets.MNIST(\n",
    "    '~/.pytorch/MNIST_data/', \n",
    "    download=True, \n",
    "    train=False, \n",
    "    transform=transform, \n",
    "    target_transform = transforms.Lambda(lambda x: get_target_and_mask(x, 0))\n",
    ")\n",
    "len(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Создаем итераторы датасетов\n",
    "train_loader = torch.utils.data.DataLoader(\n",
    "    train_data, \n",
    "    batch_size=batch_size, \n",
    "    shuffle=True,\n",
    "    \n",
    ")\n",
    "test_loader = torch.utils.data.DataLoader(\n",
    "    test_data, \n",
    "    batch_size=batch_size, \n",
    "    shuffle=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Encoder(nn.Module):\n",
    "    \"\"\"\n",
    "    Компонент энкодера для VAE\n",
    "    \n",
    "    Args:\n",
    "        latent_dim (int): Размер латентного вектора.\n",
    "    \"\"\"\n",
    "    \n",
    "    def __init__(self, latent_dim):\n",
    "        super(Encoder, self).__init__()\n",
    "                \n",
    "        self.encoder = nn.Sequential(\n",
    "            nn.Conv2d(1, 8, kernel_size=5),\n",
    "            nn.SiLU(),  \n",
    "            nn.Conv2d(8, 16, kernel_size=5),\n",
    "            nn.SiLU(),  \n",
    "            nn.Conv2d(16, 32, kernel_size=5),\n",
    "            nn.SiLU(),  \n",
    "            nn.Conv2d(32, 64, kernel_size=5),\n",
    "            nn.BatchNorm2d(64),\n",
    "            nn.SiLU(),  \n",
    "            nn.Flatten(),\n",
    "            nn.Linear(9216, 625),\n",
    "            nn.BatchNorm1d(625),\n",
    "            nn.SiLU(),  \n",
    "            nn.Linear(625, 2 * latent_dim), # mean + variance.\n",
    "        )\n",
    "        self.softplus = nn.Softplus()\n",
    "         \n",
    "    def forward(self, x, eps: float = 1e-8):\n",
    "        \"\"\"\n",
    "        Выход энкодера для чистого VAE.\n",
    "        \n",
    "        Args:\n",
    "            x (torch.Tensor): Входной вектор.\n",
    "            eps (float): Небольшая поправка к скейлу для лучшей сходимости и устойчивости.\n",
    "        \n",
    "        Returns:\n",
    "            mu, logvar, z, dist\n",
    "        \"\"\"\n",
    "\n",
    "        x = self.encoder(x)\n",
    "        mu, logvar = torch.chunk(x, 2, dim=-1)\n",
    "        scale = self.softplus(logvar) + eps\n",
    "        scale_tril = torch.diag_embed(scale)\n",
    "        dist = torch.distributions.MultivariateNormal(mu, scale_tril=scale_tril)\n",
    "        z = dist.rsample()\n",
    "\n",
    "        return mu, logvar, z"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Decoder(nn.Module):\n",
    "    \"\"\"\n",
    "    Компонент декодера для VAE\n",
    "    \n",
    "    Args:\n",
    "        latent_dim (int): Размер латентного вектора.\n",
    "    \"\"\"\n",
    "    \n",
    "    def __init__(self, latent_dim):\n",
    "        super(Decoder, self).__init__()\n",
    "                \n",
    "        self.decoder = nn.Sequential(\n",
    "            nn.Linear(latent_dim, 625),\n",
    "            nn.BatchNorm1d(625),\n",
    "            nn.SiLU(), \n",
    "            nn.Linear(625, 9216),\n",
    "            nn.BatchNorm1d(9216),\n",
    "            nn.SiLU(), \n",
    "            nn.Unflatten(1,(64, 12, 12)),\n",
    "            nn.ConvTranspose2d(64, 32, 5),\n",
    "            nn.SiLU(), \n",
    "            nn.ConvTranspose2d(32, 16, 5),\n",
    "            nn.SiLU(), \n",
    "            nn.ConvTranspose2d(16, 8, 5),\n",
    "            nn.SiLU(), \n",
    "            nn.ConvTranspose2d(8, 1, 5),\n",
    "            nn.Sigmoid() \n",
    "        )\n",
    "         \n",
    "    def forward(self, z):\n",
    "        \"\"\"\n",
    "        Декодирует латентный вектор в исходное представление\n",
    "        \n",
    "        Args:\n",
    "            z (torch.Tensor): Латентный вектор.\n",
    "        \n",
    "        Returns:\n",
    "            x\n",
    "        \"\"\"\n",
    "\n",
    "        x = self.decoder(z)\n",
    "        \n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "class CVAE(nn.Module):\n",
    "    \"\"\"\n",
    "    Conditional Variational Autoencoder (C-VAE) \n",
    "    \n",
    "    Args:\n",
    "        latent_dim (int): Размер латентного вектора.\n",
    "        labels_count (int): Количество выходов классификатора\n",
    "    \"\"\"\n",
    "    def __init__(self, latent_dim, labels_count):\n",
    "        super(CVAE, self).__init__()\n",
    "\n",
    "        self.encoder = Encoder(latent_dim)        \n",
    "        self.decoder = Decoder(latent_dim)\n",
    "\n",
    "        self.fuzzy = nn.Sequential(\n",
    "            FuzzyLayer.from_dimensions(latent_dim, labels_count, trainable=True)\n",
    "        )\n",
    "        \n",
    "    def forward(self, x):\n",
    "        \"\"\"\n",
    "        Возвращает компоненты внутренних слоев CVAE, результаты реконструкции и классификации\n",
    "        \n",
    "        Args:\n",
    "            x (torch.Tensor): Входной вектор.\n",
    "        \n",
    "        Returns:\n",
    "            mu, x_recon, labels\n",
    "        \"\"\"\n",
    "\n",
    "        mu, _,  _, = self.encoder(x)\n",
    "        x_recon = self.decoder(mu)\n",
    "        labels = self.fuzzy(mu)\n",
    "\n",
    "        return mu, x_recon, labels\n",
    "    \n",
    "    def half_pass(self, x):\n",
    "        \"\"\"\n",
    "        Возвращает результаты работы энкодера и классификатора\n",
    "        \"\"\"\n",
    "        mu, logvar, z = self.encoder(x)\n",
    "        labels = self.fuzzy(mu)\n",
    "\n",
    "        return mu, logvar, z, labels\n",
    "    \n",
    "    def decoder_pass(self, x):\n",
    "        return self.decoder(x)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def keep_eigenvals_positive_loss(d, eps = 1e-3):\n",
    "    ev = d.fuzzy[0].get_transformation_matrix_eigenvals().real.min()\n",
    "    ev = torch.where(ev > eps, eps, ev)\n",
    "    return -ev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compute_loss(x, recon_x, mu, logvar, z, target_labels, predicted_labels):\n",
    "    \n",
    "    loss_recon = F.binary_cross_entropy(recon_x, x + 0.5, reduction='none').sum(-1).mean()\n",
    "    \n",
    "    tsquare = torch.square(mu)\n",
    "    tlogvar = torch.exp(logvar)\n",
    "    kl_loss = -0.5 * (1 + logvar - tsquare - tlogvar)\n",
    "    loss_kl = kl_loss.sum(-1).mean()\n",
    "            \n",
    "    target_firings = target_labels[:,0,:]\n",
    "    mask = target_labels[:,1,:]\n",
    "    loss_fuzzy = (mask * torch.square(target_firings - predicted_labels)).sum(-1).mean()\n",
    "\n",
    "    loss = loss_recon + beta * loss_kl + gamma * loss_fuzzy\n",
    "\n",
    "    \n",
    "\n",
    "    return loss, loss_recon, loss_kl, loss_fuzzy\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of parameters: 11,690,317\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "CVAE(\n",
       "  (encoder): Encoder(\n",
       "    (encoder): Sequential(\n",
       "      (0): Conv2d(1, 8, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (1): SiLU()\n",
       "      (2): Conv2d(8, 16, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (3): SiLU()\n",
       "      (4): Conv2d(16, 32, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (5): SiLU()\n",
       "      (6): Conv2d(32, 64, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (7): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (8): SiLU()\n",
       "      (9): Flatten(start_dim=1, end_dim=-1)\n",
       "      (10): Linear(in_features=9216, out_features=625, bias=True)\n",
       "      (11): BatchNorm1d(625, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (12): SiLU()\n",
       "      (13): Linear(in_features=625, out_features=4, bias=True)\n",
       "    )\n",
       "    (softplus): Softplus(beta=1.0, threshold=20.0)\n",
       "  )\n",
       "  (decoder): Decoder(\n",
       "    (decoder): Sequential(\n",
       "      (0): Linear(in_features=2, out_features=625, bias=True)\n",
       "      (1): BatchNorm1d(625, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (2): SiLU()\n",
       "      (3): Linear(in_features=625, out_features=9216, bias=True)\n",
       "      (4): BatchNorm1d(9216, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n",
       "      (5): SiLU()\n",
       "      (6): Unflatten(dim=1, unflattened_size=(64, 12, 12))\n",
       "      (7): ConvTranspose2d(64, 32, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (8): SiLU()\n",
       "      (9): ConvTranspose2d(32, 16, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (10): SiLU()\n",
       "      (11): ConvTranspose2d(16, 8, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (12): SiLU()\n",
       "      (13): ConvTranspose2d(8, 1, kernel_size=(5, 5), stride=(1, 1))\n",
       "      (14): Sigmoid()\n",
       "    )\n",
       "  )\n",
       "  (fuzzy): Sequential(\n",
       "    (0): FuzzyLayer(\n",
       "      (rots): ParameterList(  (0): Parameter containing: [torch.float32 of size 12x1 (cuda:0)])\n",
       "    )\n",
       "  )\n",
       ")"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = CVAE(latent_dim=latent_dim, labels_count=fuzzy_labels).to(device)\n",
    "\n",
    "num_params = sum(p.numel() for p in model.parameters() if p.requires_grad)\n",
    "print(f'Number of parameters: {num_params:,}')\n",
    "\n",
    "model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import torchviz\n",
    "# import os\n",
    "# os.environ[\"PATH\"] += os.pathsep + 'F:/Users/Yuri/Downloads/windows_10_msbuild_Release_graphviz-7.0.4-win32/Graphviz/bin'\n",
    "\n",
    "\n",
    "# x = torch.randn(2, 1, 28, 28).to(device)\n",
    "# torchviz.make_dot(model(x), params=dict(model.named_parameters()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = torch.optim.AdamW(model.parameters(), lr=learning_rate, weight_decay=weight_decay)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(model, dataloader, optimizer, prev_updates, writer=None):\n",
    "    model.train()  \n",
    "    \n",
    "    for batch_idx, (data, target) in enumerate(tqdm(dataloader)):\n",
    "        n_upd = prev_updates + batch_idx\n",
    "        \n",
    "        data = data.to(device)\n",
    "        \n",
    "        optimizer.zero_grad()  \n",
    "        \n",
    "        mu, logcar, z, labels = model.half_pass(data)  \n",
    "        recon_x = model.decoder_pass(z)\n",
    "        loss, loss_recon, loss_kl, loss_fuzzy = compute_loss(data, recon_x, mu, logcar, z, target, labels)\n",
    "        \n",
    "        loss.backward(retain_graph=True)\n",
    "        ev_loss = keep_eigenvals_positive_loss(model)\n",
    "        ev_loss.backward()\n",
    "        \n",
    "        if n_upd % 100 == 0:\n",
    "            total_norm = 0.0\n",
    "            for p in model.parameters():\n",
    "                if p.grad is not None:\n",
    "                    param_norm = p.grad.data.norm(2)\n",
    "                    total_norm += param_norm.item() ** 2\n",
    "            total_norm = total_norm ** (1. / 2)\n",
    "        \n",
    "            print(f'Step {n_upd:,} (N samples: {n_upd*batch_size:,}), Loss: {loss.item():.4f} EV {ev_loss.item():.4f} (Recon: {loss_recon.item():.4f}, KL: {loss_kl.item():.4f} Fuzzy: {loss_fuzzy.item():.4f}) Grad: {total_norm:.4f}')\n",
    "\n",
    "            if writer is not None:\n",
    "                global_step = n_upd\n",
    "                writer.add_scalar('Loss/Train', loss.item(), global_step)\n",
    "                writer.add_scalar('Loss/EV', ev_loss.item(), global_step)\n",
    "                writer.add_scalar('Loss/Train/BCE', loss_recon.item(), global_step)\n",
    "                writer.add_scalar('Loss/Train/KLD', loss_kl.item(), global_step)\n",
    "                writer.add_scalar('Fuzzy/Train/Loss', loss_fuzzy.item(), global_step)\n",
    "                writer.add_scalar('GradNorm/Train', total_norm, global_step)\n",
    "            \n",
    "        torch.nn.utils.clip_grad_norm_(model.parameters(), 1.0)    \n",
    "        \n",
    "        optimizer.step()  \n",
    "        \n",
    "    return prev_updates + len(dataloader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def test(model, dataloader, cur_step, writer=None):\n",
    "    model.eval() \n",
    "    test_loss = 0\n",
    "    test_recon_loss = 0\n",
    "    test_kl_loss = 0\n",
    "    test_fuzzy_loss = 0\n",
    "    test_accuracy = 0\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        for data, target in tqdm(dataloader, desc='Testing'):\n",
    "            data = data.to(device)\n",
    "            mu, logcar, z, labels = model.half_pass(data)  \n",
    "            recon_x = model.decoder_pass(z)\n",
    "            loss, loss_recon, loss_kl, loss_fuzzy = compute_loss(data, recon_x, mu, logcar, z,  target, labels)\n",
    "            \n",
    "            test_loss += loss.item()\n",
    "            test_recon_loss += loss_recon.item()\n",
    "            test_kl_loss += loss_kl.item()\n",
    "            test_fuzzy_loss += loss_fuzzy.item()\n",
    "            pred_target = np.argmax(labels[:,0:(fuzzy_labels-2)].cpu().numpy(), axis=1)\n",
    "            target_labels =  np.argmax(target[:,0,0:(fuzzy_labels-2)].cpu().numpy(), axis=1)\n",
    "            test_accuracy += np.sum(target_labels==pred_target) / len(pred_target)\n",
    "\n",
    "    test_loss /= len(dataloader)\n",
    "    test_recon_loss /= len(dataloader)\n",
    "    test_kl_loss /= len(dataloader)\n",
    "    test_fuzzy_loss /= len(dataloader)\n",
    "    test_accuracy /= len(dataloader)\n",
    "\n",
    "    print(f'====> Test set loss: {test_loss:.4f} (BCE: {test_recon_loss:.4f}, KLD: {test_kl_loss:.4f} Fuzzy: {test_fuzzy_loss:.4f} Accuracy {test_accuracy:.4f})')\n",
    "    \n",
    "    if writer is not None:\n",
    "        writer.add_scalar('Loss/Test', test_loss, global_step=cur_step)\n",
    "        writer.add_scalar('Loss/Test/BCE', loss_recon.item(), global_step=cur_step)\n",
    "        writer.add_scalar('Loss/Test/KLD', loss_kl.item(), global_step=cur_step)\n",
    "        writer.add_scalar('Fuzzy/Test/Loss', loss_fuzzy.item(), global_step=cur_step)\n",
    "        writer.add_scalar('Fuzzy/Test/Accuracy', test_accuracy, global_step=cur_step)\n",
    "        \n",
    "        z = torch.randn(16, latent_dim).to(device)\n",
    "        samples = model.decoder_pass(z)\n",
    "        writer.add_images('Test/Samples', samples.view(-1, 1, 28, 28), global_step=cur_step)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f4fd58665e2f4943b1aaedeb4c298346",
       "version_major": 2,
       "version_minor": 0
      },
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 0 (N samples: 0), Loss: 23.8749 EV -0.0010 (Recon: 20.6597, KL: 0.2060 Fuzzy: 3.0092) Grad: 17.8855\n",
      "Step 100 (N samples: 25,600), Loss: 9.6263 EV -0.0010 (Recon: 7.3662, KL: 0.6322 Fuzzy: 1.6279) Grad: 8.8270\n",
      "Step 200 (N samples: 51,200), Loss: 8.6057 EV -0.0010 (Recon: 6.7633, KL: 0.6174 Fuzzy: 1.2250) Grad: 6.1149\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "18225e87c1174b2cbe25d9239c9957ac",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 8.5600 (BCE: 6.8703, KLD: 0.6573 Fuzzy: 1.0324 Accuracy 0.6893)\n",
      "Epoch 2/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e4797cdc7448454895a8e11dd687c627",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 300 (N samples: 76,800), Loss: 8.3798 EV -0.0010 (Recon: 6.7456, KL: 0.6819 Fuzzy: 0.9522) Grad: 5.7779\n",
      "Step 400 (N samples: 102,400), Loss: 8.0515 EV -0.0010 (Recon: 6.6559, KL: 0.6261 Fuzzy: 0.7694) Grad: 4.4878\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "603ad9b957fa410abc108ae37e2b0212",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 8.0596 (BCE: 6.6238, KLD: 0.6715 Fuzzy: 0.7643 Accuracy 0.7582)\n",
      "Epoch 3/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e488db59fcc7456a8ff05d32c97048fc",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 500 (N samples: 128,000), Loss: 8.1308 EV -0.0010 (Recon: 6.7531, KL: 0.6581 Fuzzy: 0.7196) Grad: 3.5513\n",
      "Step 600 (N samples: 153,600), Loss: 7.9130 EV -0.0010 (Recon: 6.5059, KL: 0.7509 Fuzzy: 0.6563) Grad: 4.1514\n",
      "Step 700 (N samples: 179,200), Loss: 7.8271 EV -0.0010 (Recon: 6.4999, KL: 0.7524 Fuzzy: 0.5748) Grad: 4.3817\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5e03503d236f47c39549c7a2a364eb0a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.8420 (BCE: 6.5161, KLD: 0.7341 Fuzzy: 0.5919 Accuracy 0.8177)\n",
      "Epoch 4/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9554f589fc354e789e8c7d07064ccc17",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 800 (N samples: 204,800), Loss: 7.6862 EV -0.0010 (Recon: 6.3854, KL: 0.7578 Fuzzy: 0.5430) Grad: 3.0593\n",
      "Step 900 (N samples: 230,400), Loss: 7.6728 EV -0.0010 (Recon: 6.3817, KL: 0.7567 Fuzzy: 0.5344) Grad: 3.7926\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "357939d71de44a929d078fa3deabdc4a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.7280 (BCE: 6.4281, KLD: 0.7879 Fuzzy: 0.5120 Accuracy 0.8345)\n",
      "Epoch 5/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9269b6a398504604bc802d0f9c98798e",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 1,000 (N samples: 256,000), Loss: 7.6884 EV -0.0010 (Recon: 6.4966, KL: 0.7394 Fuzzy: 0.4523) Grad: 2.1218\n",
      "Step 1,100 (N samples: 281,600), Loss: 7.7409 EV -0.0010 (Recon: 6.5030, KL: 0.7403 Fuzzy: 0.4976) Grad: 2.6884\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "158683018e1f4811ad8cdc0f31fbd358",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.7018 (BCE: 6.4785, KLD: 0.7551 Fuzzy: 0.4683 Accuracy 0.8437)\n",
      "Epoch 6/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0895fa70ae514d5f8bfa593d3103f43c",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 1,200 (N samples: 307,200), Loss: 7.8141 EV -0.0010 (Recon: 6.6018, KL: 0.7203 Fuzzy: 0.4920) Grad: 2.9434\n",
      "Step 1,300 (N samples: 332,800), Loss: 7.6951 EV -0.0010 (Recon: 6.5204, KL: 0.6983 Fuzzy: 0.4765) Grad: 2.3891\n",
      "Step 1,400 (N samples: 358,400), Loss: 7.5118 EV -0.0010 (Recon: 6.3480, KL: 0.7298 Fuzzy: 0.4340) Grad: 2.3790\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ffe514a538a425593138fae18f3bc44",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.6464 (BCE: 6.3938, KLD: 0.8144 Fuzzy: 0.4381 Accuracy 0.8636)\n",
      "Epoch 7/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "30d9fe63a6af4284bcc42c664bdedbc3",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 1,500 (N samples: 384,000), Loss: 7.6861 EV -0.0010 (Recon: 6.4435, KL: 0.7971 Fuzzy: 0.4454) Grad: 2.5949\n",
      "Step 1,600 (N samples: 409,600), Loss: 7.5744 EV -0.0010 (Recon: 6.3503, KL: 0.7868 Fuzzy: 0.4373) Grad: 1.7984\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "438fa3333a434968b8378194cb1937b6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.6485 (BCE: 6.3575, KLD: 0.8577 Fuzzy: 0.4332 Accuracy 0.9158)\n",
      "Epoch 8/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "faa8ede19bd448c09a3bb03f2e00d7e7",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 1,700 (N samples: 435,200), Loss: 7.5898 EV -0.0010 (Recon: 6.3632, KL: 0.7994 Fuzzy: 0.4271) Grad: 2.8932\n",
      "Step 1,800 (N samples: 460,800), Loss: 7.6247 EV -0.0010 (Recon: 6.4815, KL: 0.7650 Fuzzy: 0.3783) Grad: 2.9738\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ec890c8053e54526a893ab103533fd10",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.5190 (BCE: 6.3434, KLD: 0.8116 Fuzzy: 0.3641 Accuracy 0.9384)\n",
      "Epoch 9/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e85330c9ece042d1abfc99be7b23a756",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 1,900 (N samples: 486,400), Loss: 7.8233 EV -0.0010 (Recon: 6.6244, KL: 0.7950 Fuzzy: 0.4038) Grad: 3.1985\n",
      "Step 2,000 (N samples: 512,000), Loss: 7.7046 EV -0.0010 (Recon: 6.5223, KL: 0.7702 Fuzzy: 0.4121) Grad: 2.9504\n",
      "Step 2,100 (N samples: 537,600), Loss: 7.6136 EV -0.0010 (Recon: 6.4378, KL: 0.8063 Fuzzy: 0.3694) Grad: 2.8304\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d161c9230eba43398556761edd551965",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.5230 (BCE: 6.3418, KLD: 0.8298 Fuzzy: 0.3514 Accuracy 0.9502)\n",
      "Epoch 10/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2dfa7adc8be348a8a10527a7ae01c653",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 2,200 (N samples: 563,200), Loss: 7.5400 EV -0.0010 (Recon: 6.4101, KL: 0.7858 Fuzzy: 0.3440) Grad: 2.5287\n",
      "Step 2,300 (N samples: 588,800), Loss: 7.4893 EV -0.0010 (Recon: 6.3646, KL: 0.7673 Fuzzy: 0.3574) Grad: 3.1935\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7aa541606f21459d97f47b7eb3d39803",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4953 (BCE: 6.2955, KLD: 0.8581 Fuzzy: 0.3417 Accuracy 0.9533)\n",
      "Epoch 11/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fc01f7e878f84ac4af21fe26ac4f79e8",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 2,400 (N samples: 614,400), Loss: 7.4457 EV -0.0010 (Recon: 6.2588, KL: 0.8400 Fuzzy: 0.3469) Grad: 2.7793\n",
      "Step 2,500 (N samples: 640,000), Loss: 7.5489 EV -0.0010 (Recon: 6.3953, KL: 0.8036 Fuzzy: 0.3500) Grad: 2.6387\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5d8ed4465c9348ee9546c4ebbcc64a08",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4586 (BCE: 6.3134, KLD: 0.8279 Fuzzy: 0.3173 Accuracy 0.9563)\n",
      "Epoch 12/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "68103ccc587a4dc8aaeda3d42fed2ecf",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 2,600 (N samples: 665,600), Loss: 7.4120 EV -0.0010 (Recon: 6.2760, KL: 0.8018 Fuzzy: 0.3341) Grad: 1.8242\n",
      "Step 2,700 (N samples: 691,200), Loss: 7.7789 EV -0.0010 (Recon: 6.5345, KL: 0.8375 Fuzzy: 0.4069) Grad: 2.6160\n",
      "Step 2,800 (N samples: 716,800), Loss: 7.3898 EV -0.0010 (Recon: 6.2191, KL: 0.8075 Fuzzy: 0.3632) Grad: 2.2562\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ef6253eb1c1f4f9dbfcde87f1426049f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4768 (BCE: 6.3098, KLD: 0.8418 Fuzzy: 0.3252 Accuracy 0.9559)\n",
      "Epoch 13/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "22816ce497a74da99dca34e9253552b7",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 2,900 (N samples: 742,400), Loss: 7.8048 EV -0.0010 (Recon: 6.5770, KL: 0.8117 Fuzzy: 0.4161) Grad: 3.1421\n",
      "Step 3,000 (N samples: 768,000), Loss: 7.4551 EV -0.0010 (Recon: 6.3315, KL: 0.8168 Fuzzy: 0.3068) Grad: 2.0799\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "970997efc11b4c6f9b1600aacfd1ff39",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4534 (BCE: 6.3224, KLD: 0.8328 Fuzzy: 0.2982 Accuracy 0.9584)\n",
      "Epoch 14/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ddfce523855c444999e6381d976a1ba5",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 3,100 (N samples: 793,600), Loss: 7.5190 EV -0.0010 (Recon: 6.3647, KL: 0.8210 Fuzzy: 0.3334) Grad: 3.0929\n",
      "Step 3,200 (N samples: 819,200), Loss: 7.4695 EV -0.0010 (Recon: 6.2987, KL: 0.8201 Fuzzy: 0.3507) Grad: 2.4561\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7f1720e999644c018a362c41de1e75cc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4135 (BCE: 6.2547, KLD: 0.8633 Fuzzy: 0.2954 Accuracy 0.9603)\n",
      "Epoch 15/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "98e90427d7ad4589948021e66a560ecf",
       "version_major": 2,
       "version_minor": 0
      },
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 3,300 (N samples: 844,800), Loss: 7.6564 EV -0.0010 (Recon: 6.5076, KL: 0.7831 Fuzzy: 0.3656) Grad: 2.1033\n",
      "Step 3,400 (N samples: 870,400), Loss: 7.5500 EV -0.0010 (Recon: 6.4236, KL: 0.8151 Fuzzy: 0.3112) Grad: 2.3342\n",
      "Step 3,500 (N samples: 896,000), Loss: 7.2198 EV -0.0010 (Recon: 6.1165, KL: 0.8435 Fuzzy: 0.2598) Grad: 1.5164\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "56c099c78c184cca8e8c18d6828a96f3",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4223 (BCE: 6.2895, KLD: 0.8376 Fuzzy: 0.2951 Accuracy 0.9618)\n",
      "Epoch 16/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3c0f3bcffd034962a30742fce1b8f88e",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 3,600 (N samples: 921,600), Loss: 7.3831 EV -0.0010 (Recon: 6.2716, KL: 0.8372 Fuzzy: 0.2743) Grad: 2.2923\n",
      "Step 3,700 (N samples: 947,200), Loss: 7.4770 EV -0.0010 (Recon: 6.3040, KL: 0.8202 Fuzzy: 0.3527) Grad: 3.0102\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4797b423aad54e899e78c85e3141ac60",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4392 (BCE: 6.3067, KLD: 0.8260 Fuzzy: 0.3064 Accuracy 0.9628)\n",
      "Epoch 17/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "caa718de857d4659a70e224031b4230e",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 3,800 (N samples: 972,800), Loss: 7.3542 EV -0.0010 (Recon: 6.2100, KL: 0.8179 Fuzzy: 0.3263) Grad: 1.9908\n",
      "Step 3,900 (N samples: 998,400), Loss: 7.5184 EV -0.0010 (Recon: 6.3812, KL: 0.8265 Fuzzy: 0.3106) Grad: 2.4068\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ca7cfcfb1e0645edae42aeaf61474f0e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3891 (BCE: 6.2758, KLD: 0.8303 Fuzzy: 0.2830 Accuracy 0.9634)\n",
      "Epoch 18/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d8ca164cf2fb473aa748c6f7b5686628",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 4,000 (N samples: 1,024,000), Loss: 7.5131 EV -0.0010 (Recon: 6.4140, KL: 0.8020 Fuzzy: 0.2971) Grad: 2.1343\n",
      "Step 4,100 (N samples: 1,049,600), Loss: 7.3896 EV -0.0010 (Recon: 6.2041, KL: 0.8609 Fuzzy: 0.3246) Grad: 2.5222\n",
      "Step 4,200 (N samples: 1,075,200), Loss: 7.4188 EV -0.0010 (Recon: 6.2588, KL: 0.8774 Fuzzy: 0.2825) Grad: 1.9255\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b0b0aafe19e94bb89023312e2785db94",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4155 (BCE: 6.3028, KLD: 0.8273 Fuzzy: 0.2854 Accuracy 0.9646)\n",
      "Epoch 19/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "64acbf36cfd647138d406387a8c2e6f0",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 4,300 (N samples: 1,100,800), Loss: 7.3956 EV -0.0010 (Recon: 6.2787, KL: 0.8306 Fuzzy: 0.2863) Grad: 2.6082\n",
      "Step 4,400 (N samples: 1,126,400), Loss: 7.4434 EV -0.0010 (Recon: 6.3288, KL: 0.8250 Fuzzy: 0.2895) Grad: 2.4039\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c030285585074906869f1b20190c9269",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4153 (BCE: 6.2599, KLD: 0.8648 Fuzzy: 0.2906 Accuracy 0.9651)\n",
      "Epoch 20/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0bb6093bcd634593b5ae2834e6e0ec40",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 4,500 (N samples: 1,152,000), Loss: 7.3776 EV -0.0010 (Recon: 6.2187, KL: 0.8265 Fuzzy: 0.3324) Grad: 2.3918\n",
      "Step 4,600 (N samples: 1,177,600), Loss: 7.3814 EV -0.0010 (Recon: 6.2734, KL: 0.8403 Fuzzy: 0.2677) Grad: 2.2797\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e00d0d9be9f040649328c7d95a68caee",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3913 (BCE: 6.2501, KLD: 0.8567 Fuzzy: 0.2845 Accuracy 0.9640)\n",
      "Epoch 21/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "11bd1b6de7624d9c8de5ec89699e5a91",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 4,700 (N samples: 1,203,200), Loss: 7.6042 EV -0.0010 (Recon: 6.4465, KL: 0.8403 Fuzzy: 0.3175) Grad: 2.3430\n",
      "Step 4,800 (N samples: 1,228,800), Loss: 7.2162 EV -0.0010 (Recon: 6.1240, KL: 0.8393 Fuzzy: 0.2529) Grad: 1.9409\n",
      "Step 4,900 (N samples: 1,254,400), Loss: 7.4686 EV -0.0010 (Recon: 6.2542, KL: 0.9026 Fuzzy: 0.3118) Grad: 1.6971\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2a3145588f3a4a4d82e65cd54bb40be0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3796 (BCE: 6.2701, KLD: 0.8374 Fuzzy: 0.2722 Accuracy 0.9645)\n",
      "Epoch 22/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "35ee0f4364d449dbb393ce57d3d2158b",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 5,000 (N samples: 1,280,000), Loss: 7.5014 EV -0.0010 (Recon: 6.3117, KL: 0.8330 Fuzzy: 0.3567) Grad: 2.2077\n",
      "Step 5,100 (N samples: 1,305,600), Loss: 7.3150 EV -0.0010 (Recon: 6.1901, KL: 0.8599 Fuzzy: 0.2649) Grad: 1.9800\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3a46843228fd4995a044971eeac4e8fa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3736 (BCE: 6.2105, KLD: 0.8808 Fuzzy: 0.2822 Accuracy 0.9656)\n",
      "Epoch 23/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6d6ec08cbff24c26afdbb4ef9271fcd0",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 5,200 (N samples: 1,331,200), Loss: 7.6094 EV -0.0010 (Recon: 6.4620, KL: 0.8706 Fuzzy: 0.2769) Grad: 1.7507\n",
      "Step 5,300 (N samples: 1,356,800), Loss: 7.2577 EV -0.0010 (Recon: 6.1079, KL: 0.8596 Fuzzy: 0.2902) Grad: 1.8288\n",
      "Step 5,400 (N samples: 1,382,400), Loss: 7.3676 EV -0.0010 (Recon: 6.2484, KL: 0.8407 Fuzzy: 0.2786) Grad: 1.6063\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "97714556c7eb42919152872fc1a9102f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3833 (BCE: 6.2490, KLD: 0.8567 Fuzzy: 0.2776 Accuracy 0.9688)\n",
      "Epoch 24/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7a450895227a4b269d67e278e0672d24",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 5,500 (N samples: 1,408,000), Loss: 7.5265 EV -0.0010 (Recon: 6.3292, KL: 0.8626 Fuzzy: 0.3347) Grad: 2.5417\n",
      "Step 5,600 (N samples: 1,433,600), Loss: 7.5379 EV -0.0010 (Recon: 6.3319, KL: 0.8605 Fuzzy: 0.3456) Grad: 2.7995\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8d4375fbc4554d97bc188c0922be5c81",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3757 (BCE: 6.2562, KLD: 0.8495 Fuzzy: 0.2700 Accuracy 0.9679)\n",
      "Epoch 25/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9761e17758e2486195a4262ce89660cb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 5,700 (N samples: 1,459,200), Loss: 7.5455 EV -0.0010 (Recon: 6.4202, KL: 0.8477 Fuzzy: 0.2776) Grad: 1.9543\n",
      "Step 5,800 (N samples: 1,484,800), Loss: 7.6071 EV -0.0010 (Recon: 6.4574, KL: 0.8583 Fuzzy: 0.2914) Grad: 2.0450\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "efff3d1cffe64f20bc5a21b65c47bf9f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3761 (BCE: 6.2453, KLD: 0.8599 Fuzzy: 0.2708 Accuracy 0.9668)\n",
      "Epoch 26/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "97cfa9025160482e8198adaf7c23aaaf",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 5,900 (N samples: 1,510,400), Loss: 7.3703 EV -0.0010 (Recon: 6.2467, KL: 0.8320 Fuzzy: 0.2916) Grad: 2.5150\n",
      "Step 6,000 (N samples: 1,536,000), Loss: 7.4479 EV -0.0010 (Recon: 6.3356, KL: 0.8295 Fuzzy: 0.2828) Grad: 1.7124\n",
      "Step 6,100 (N samples: 1,561,600), Loss: 7.3422 EV -0.0010 (Recon: 6.1947, KL: 0.8600 Fuzzy: 0.2875) Grad: 1.6883\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6c29add2918c41ff82899f9a4cf29b3d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3649 (BCE: 6.2244, KLD: 0.8717 Fuzzy: 0.2689 Accuracy 0.9699)\n",
      "Epoch 27/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cdf66c35d29d4ff6bc995327a39de24c",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 6,200 (N samples: 1,587,200), Loss: 7.2356 EV -0.0010 (Recon: 6.1569, KL: 0.8447 Fuzzy: 0.2340) Grad: 1.6231\n",
      "Step 6,300 (N samples: 1,612,800), Loss: 7.4474 EV -0.0010 (Recon: 6.3258, KL: 0.8527 Fuzzy: 0.2689) Grad: 1.5757\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2b4b511b4251470e902080298aee6ebe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.4021 (BCE: 6.2282, KLD: 0.8993 Fuzzy: 0.2745 Accuracy 0.9680)\n",
      "Epoch 28/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "05bfa4e4cf304bb788a64a8ca1241b8d",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 6,400 (N samples: 1,638,400), Loss: 7.2523 EV -0.0010 (Recon: 6.1560, KL: 0.8315 Fuzzy: 0.2648) Grad: 1.7712\n",
      "Step 6,500 (N samples: 1,664,000), Loss: 7.4609 EV -0.0010 (Recon: 6.3035, KL: 0.8716 Fuzzy: 0.2858) Grad: 2.0175\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b6d7f210cb0f4cb2b46486fb5e0d1634",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3690 (BCE: 6.2194, KLD: 0.8775 Fuzzy: 0.2721 Accuracy 0.9703)\n",
      "Epoch 29/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a82b98503ab344a18ba0def74a97f25c",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 6,600 (N samples: 1,689,600), Loss: 7.4844 EV -0.0010 (Recon: 6.3255, KL: 0.8655 Fuzzy: 0.2934) Grad: 2.3647\n",
      "Step 6,700 (N samples: 1,715,200), Loss: 7.4590 EV -0.0010 (Recon: 6.2598, KL: 0.8831 Fuzzy: 0.3161) Grad: 2.1334\n",
      "Step 6,800 (N samples: 1,740,800), Loss: 7.2310 EV -0.0010 (Recon: 6.1327, KL: 0.8328 Fuzzy: 0.2654) Grad: 2.2988\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d87f073ca2684aaba957768e63f60579",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3647 (BCE: 6.2262, KLD: 0.8758 Fuzzy: 0.2628 Accuracy 0.9705)\n",
      "Epoch 30/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "206ab930660a46818257418da2ba1946",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 6,900 (N samples: 1,766,400), Loss: 7.6985 EV -0.0010 (Recon: 6.4919, KL: 0.8706 Fuzzy: 0.3361) Grad: 2.3204\n",
      "Step 7,000 (N samples: 1,792,000), Loss: 7.5798 EV -0.0010 (Recon: 6.4194, KL: 0.8291 Fuzzy: 0.3313) Grad: 2.7518\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "937c7e28a63c4d0dade8dac99a8738ae",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3685 (BCE: 6.2185, KLD: 0.8793 Fuzzy: 0.2707 Accuracy 0.9693)\n",
      "Epoch 31/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ac872c5fcc6a458c90601c51296c0d6a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 7,100 (N samples: 1,817,600), Loss: 7.4575 EV -0.0010 (Recon: 6.3009, KL: 0.8529 Fuzzy: 0.3037) Grad: 1.5666\n",
      "Step 7,200 (N samples: 1,843,200), Loss: 7.4421 EV -0.0010 (Recon: 6.3304, KL: 0.8544 Fuzzy: 0.2574) Grad: 2.6061\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "898cd0a5887844639396427e36c87775",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3512 (BCE: 6.2367, KLD: 0.8519 Fuzzy: 0.2626 Accuracy 0.9717)\n",
      "Epoch 32/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "91e9ed1bcd3545409bd81fb2a9b2b8df",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 7,300 (N samples: 1,868,800), Loss: 7.5106 EV -0.0010 (Recon: 6.4312, KL: 0.8515 Fuzzy: 0.2279) Grad: 2.3627\n",
      "Step 7,400 (N samples: 1,894,400), Loss: 7.3781 EV -0.0010 (Recon: 6.2478, KL: 0.8802 Fuzzy: 0.2501) Grad: 1.3002\n",
      "Step 7,500 (N samples: 1,920,000), Loss: 7.4780 EV -0.0010 (Recon: 6.3925, KL: 0.8464 Fuzzy: 0.2391) Grad: 1.9816\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "16fdc34307f34382879ff0dfc8bc7c47",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3439 (BCE: 6.2140, KLD: 0.8665 Fuzzy: 0.2634 Accuracy 0.9707)\n",
      "Epoch 33/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e09ea0a8f03e4d899a4664b0a4cd6e39",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 7,600 (N samples: 1,945,600), Loss: 7.4117 EV -0.0010 (Recon: 6.2871, KL: 0.8638 Fuzzy: 0.2609) Grad: 1.5639\n",
      "Step 7,700 (N samples: 1,971,200), Loss: 7.3666 EV -0.0010 (Recon: 6.1952, KL: 0.8891 Fuzzy: 0.2823) Grad: 1.5340\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "47bf0dff7abf4c899dc4d802013f24a0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3388 (BCE: 6.2131, KLD: 0.8646 Fuzzy: 0.2611 Accuracy 0.9705)\n",
      "Epoch 34/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c0679765ed84edaa1e75133752e69de",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 7,800 (N samples: 1,996,800), Loss: 7.2853 EV -0.0010 (Recon: 6.1296, KL: 0.8697 Fuzzy: 0.2860) Grad: 2.1149\n",
      "Step 7,900 (N samples: 2,022,400), Loss: 7.5776 EV -0.0010 (Recon: 6.3479, KL: 0.8959 Fuzzy: 0.3338) Grad: 2.4081\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9cb75414de9443c186df2cbfa5274adf",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3541 (BCE: 6.1935, KLD: 0.9028 Fuzzy: 0.2578 Accuracy 0.9726)\n",
      "Epoch 35/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "24c5b8c803dd4663a8bbd72cdf825149",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 8,000 (N samples: 2,048,000), Loss: 7.4067 EV -0.0010 (Recon: 6.2737, KL: 0.8772 Fuzzy: 0.2558) Grad: 1.6002\n",
      "Step 8,100 (N samples: 2,073,600), Loss: 7.4181 EV -0.0010 (Recon: 6.2313, KL: 0.8987 Fuzzy: 0.2881) Grad: 2.0858\n",
      "Step 8,200 (N samples: 2,099,200), Loss: 7.3395 EV -0.0010 (Recon: 6.2287, KL: 0.8770 Fuzzy: 0.2338) Grad: 1.5924\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "60a1b008efe5488dbd1157465217602a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3704 (BCE: 6.2122, KLD: 0.8906 Fuzzy: 0.2676 Accuracy 0.9687)\n",
      "Epoch 36/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0e5c2a41e91b476c9dca28845be441c6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 8,300 (N samples: 2,124,800), Loss: 7.3627 EV -0.0010 (Recon: 6.2129, KL: 0.8705 Fuzzy: 0.2793) Grad: 1.4956\n",
      "Step 8,400 (N samples: 2,150,400), Loss: 7.4761 EV -0.0010 (Recon: 6.2805, KL: 0.9155 Fuzzy: 0.2801) Grad: 1.8448\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "08d180aaa0c945279c14375cf0fb64e4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3558 (BCE: 6.2143, KLD: 0.8825 Fuzzy: 0.2590 Accuracy 0.9707)\n",
      "Epoch 37/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dbac01d368d04368af6acd3adde131f8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 8,500 (N samples: 2,176,000), Loss: 7.3948 EV -0.0010 (Recon: 6.2361, KL: 0.8709 Fuzzy: 0.2878) Grad: 2.2229\n",
      "Step 8,600 (N samples: 2,201,600), Loss: 7.3811 EV -0.0010 (Recon: 6.2251, KL: 0.8663 Fuzzy: 0.2897) Grad: 2.1053\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e4af52437ba84953bccfc3be5eaf494f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3516 (BCE: 6.2148, KLD: 0.8753 Fuzzy: 0.2616 Accuracy 0.9697)\n",
      "Epoch 38/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f91cbff8ce2d448a8cded9ee2dd7fd69",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 8,700 (N samples: 2,227,200), Loss: 7.3037 EV -0.0010 (Recon: 6.1860, KL: 0.8497 Fuzzy: 0.2680) Grad: 1.3509\n",
      "Step 8,800 (N samples: 2,252,800), Loss: 7.4679 EV -0.0010 (Recon: 6.3154, KL: 0.8525 Fuzzy: 0.3000) Grad: 2.7470\n",
      "Step 8,900 (N samples: 2,278,400), Loss: 7.5173 EV -0.0010 (Recon: 6.3676, KL: 0.8905 Fuzzy: 0.2592) Grad: 1.5700\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6a10476ef1594822af7a532d225590d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3625 (BCE: 6.2009, KLD: 0.8935 Fuzzy: 0.2681 Accuracy 0.9712)\n",
      "Epoch 39/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bd44945aa77b4966b3ccfec98805b782",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 9,000 (N samples: 2,304,000), Loss: 7.2798 EV -0.0010 (Recon: 6.1453, KL: 0.8956 Fuzzy: 0.2389) Grad: 1.9359\n",
      "Step 9,100 (N samples: 2,329,600), Loss: 7.5022 EV -0.0010 (Recon: 6.3423, KL: 0.8798 Fuzzy: 0.2800) Grad: 2.2587\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c297ef05fd9a43fcb2a1430a9da9d5fa",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3725 (BCE: 6.2249, KLD: 0.8703 Fuzzy: 0.2773 Accuracy 0.9719)\n",
      "Epoch 40/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d98a450e70cf4b1792abfe9bf7d5f5a8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 9,200 (N samples: 2,355,200), Loss: 7.4505 EV -0.0010 (Recon: 6.3403, KL: 0.8680 Fuzzy: 0.2422) Grad: 1.9257\n",
      "Step 9,300 (N samples: 2,380,800), Loss: 7.3151 EV -0.0010 (Recon: 6.1773, KL: 0.9022 Fuzzy: 0.2356) Grad: 2.0325\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d9070a0419d049e8bfce60a6b87afdc3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3512 (BCE: 6.1999, KLD: 0.8858 Fuzzy: 0.2656 Accuracy 0.9700)\n",
      "Epoch 41/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "94e99923dbaf49fcaa2567dc130a60d1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 9,400 (N samples: 2,406,400), Loss: 7.5835 EV -0.0010 (Recon: 6.4153, KL: 0.8740 Fuzzy: 0.2943) Grad: 2.5090\n",
      "Step 9,500 (N samples: 2,432,000), Loss: 7.4943 EV -0.0010 (Recon: 6.3077, KL: 0.8866 Fuzzy: 0.3000) Grad: 2.8007\n",
      "Step 9,600 (N samples: 2,457,600), Loss: 7.2186 EV -0.0010 (Recon: 6.0734, KL: 0.9062 Fuzzy: 0.2389) Grad: 1.5609\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "744c3244dac543dc9ac75f3e5ff3d259",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3489 (BCE: 6.1984, KLD: 0.8872 Fuzzy: 0.2632 Accuracy 0.9722)\n",
      "Epoch 42/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "750b3b50f8a54dfd9fa70f19f6df38b1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 9,700 (N samples: 2,483,200), Loss: 7.5758 EV -0.0010 (Recon: 6.4321, KL: 0.8879 Fuzzy: 0.2558) Grad: 2.2525\n",
      "Step 9,800 (N samples: 2,508,800), Loss: 7.3239 EV -0.0010 (Recon: 6.1778, KL: 0.8847 Fuzzy: 0.2614) Grad: 1.7858\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f149fe68143a4a00aed8062a609a6e44",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3571 (BCE: 6.2085, KLD: 0.8900 Fuzzy: 0.2585 Accuracy 0.9697)\n",
      "Epoch 43/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "281d7d5231f6489f9eb6a6385f19e56a",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 9,900 (N samples: 2,534,400), Loss: 7.3777 EV -0.0010 (Recon: 6.2321, KL: 0.9055 Fuzzy: 0.2401) Grad: 1.8790\n",
      "Step 10,000 (N samples: 2,560,000), Loss: 7.3726 EV -0.0010 (Recon: 6.1697, KL: 0.9308 Fuzzy: 0.2721) Grad: 1.5657\n",
      "Step 10,100 (N samples: 2,585,600), Loss: 7.3047 EV -0.0010 (Recon: 6.1607, KL: 0.9022 Fuzzy: 0.2418) Grad: 2.1509\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b30ecac4bbc644c592067708007891b1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3246 (BCE: 6.1826, KLD: 0.8886 Fuzzy: 0.2534 Accuracy 0.9729)\n",
      "Epoch 44/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a5c8a16df5974b6cb49228368a2a07f9",
       "version_major": 2,
       "version_minor": 0
      },
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 10,200 (N samples: 2,611,200), Loss: 7.4127 EV -0.0010 (Recon: 6.2001, KL: 0.8856 Fuzzy: 0.3270) Grad: 2.6097\n",
      "Step 10,300 (N samples: 2,636,800), Loss: 7.3329 EV -0.0010 (Recon: 6.1617, KL: 0.8909 Fuzzy: 0.2803) Grad: 1.7881\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "66bfcdec3566472baee1a8ec96e1757f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3276 (BCE: 6.1764, KLD: 0.8942 Fuzzy: 0.2569 Accuracy 0.9740)\n",
      "Epoch 45/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3dc162ccd8f0482ba0193b62acfba7f6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 10,400 (N samples: 2,662,400), Loss: 7.3516 EV -0.0010 (Recon: 6.2182, KL: 0.8909 Fuzzy: 0.2425) Grad: 1.8040\n",
      "Step 10,500 (N samples: 2,688,000), Loss: 7.3084 EV -0.0010 (Recon: 6.1834, KL: 0.8772 Fuzzy: 0.2478) Grad: 1.6964\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "44ef39f1a7334dbb8cf16bab366a8047",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3337 (BCE: 6.1816, KLD: 0.9005 Fuzzy: 0.2516 Accuracy 0.9720)\n",
      "Epoch 46/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ceb76a9d37854e59805aa5b6e0cc4ffe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 10,600 (N samples: 2,713,600), Loss: 7.4011 EV -0.0010 (Recon: 6.2485, KL: 0.9001 Fuzzy: 0.2524) Grad: 1.5857\n",
      "Step 10,700 (N samples: 2,739,200), Loss: 7.5769 EV -0.0010 (Recon: 6.3655, KL: 0.8995 Fuzzy: 0.3119) Grad: 2.5648\n",
      "Step 10,800 (N samples: 2,764,800), Loss: 7.5733 EV -0.0010 (Recon: 6.4153, KL: 0.8964 Fuzzy: 0.2616) Grad: 1.5358\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "710ec05a15af434295aa779b2b73c7e0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3340 (BCE: 6.1854, KLD: 0.8997 Fuzzy: 0.2489 Accuracy 0.9723)\n",
      "Epoch 47/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "158017e9326646179b883ad1d1f2305b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 10,900 (N samples: 2,790,400), Loss: 7.5722 EV -0.0010 (Recon: 6.3720, KL: 0.8734 Fuzzy: 0.3267) Grad: 2.1754\n",
      "Step 11,000 (N samples: 2,816,000), Loss: 7.4098 EV -0.0010 (Recon: 6.2742, KL: 0.8891 Fuzzy: 0.2465) Grad: 2.3087\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8c756baf033948e7904384d0d84a635c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3315 (BCE: 6.1608, KLD: 0.9119 Fuzzy: 0.2587 Accuracy 0.9740)\n",
      "Epoch 48/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "033c40b11c394162a6d7190a25bd88e3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 11,100 (N samples: 2,841,600), Loss: 7.2266 EV -0.0010 (Recon: 6.0811, KL: 0.8754 Fuzzy: 0.2702) Grad: 2.3758\n",
      "Step 11,200 (N samples: 2,867,200), Loss: 7.5155 EV -0.0010 (Recon: 6.3238, KL: 0.9288 Fuzzy: 0.2629) Grad: 1.4927\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c9c48f3b553b49088212f67ca397e3d2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3291 (BCE: 6.1822, KLD: 0.8921 Fuzzy: 0.2548 Accuracy 0.9728)\n",
      "Epoch 49/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5fdf5efb24df4cf7bfb0399a8e24df44",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 11,300 (N samples: 2,892,800), Loss: 7.2206 EV -0.0010 (Recon: 6.0203, KL: 0.9183 Fuzzy: 0.2820) Grad: 1.3375\n",
      "Step 11,400 (N samples: 2,918,400), Loss: 7.2192 EV -0.0010 (Recon: 6.0597, KL: 0.9181 Fuzzy: 0.2413) Grad: 1.7143\n",
      "Step 11,500 (N samples: 2,944,000), Loss: 7.4060 EV -0.0010 (Recon: 6.2280, KL: 0.9218 Fuzzy: 0.2561) Grad: 2.0970\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2b340ddfc14e4f609d056093a14fb04b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3509 (BCE: 6.1934, KLD: 0.8965 Fuzzy: 0.2610 Accuracy 0.9699)\n",
      "Epoch 50/50\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "35c4b14b079e485da307daa7a2f8bf13",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/235 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Step 11,600 (N samples: 2,969,600), Loss: 7.4187 EV -0.0010 (Recon: 6.2697, KL: 0.8769 Fuzzy: 0.2721) Grad: 2.6905\n",
      "Step 11,700 (N samples: 2,995,200), Loss: 7.4094 EV -0.0010 (Recon: 6.2313, KL: 0.9097 Fuzzy: 0.2685) Grad: 1.6474\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "22b90788c6d142bba78377ab81d5758b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Testing:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====> Test set loss: 7.3322 (BCE: 6.1746, KLD: 0.9033 Fuzzy: 0.2544 Accuracy 0.9726)\n"
     ]
    }
   ],
   "source": [
    "prev_updates = 0\n",
    "for epoch in range(num_epochs):\n",
    "    print(f'Epoch {epoch+1}/{num_epochs}')\n",
    "    prev_updates = train(model, train_loader, optimizer, prev_updates, writer=writer)\n",
    "    test(model, test_loader, prev_updates, writer=writer)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 64 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "z = torch.randn(64, latent_dim).to(device)\n",
    "samples = model.decoder_pass(z)\n",
    "\n",
    "# Plot the generated images\n",
    "fig, ax = plt.subplots(8, 8, figsize=(8, 8))\n",
    "for i in range(8):\n",
    "    for j in range(8):\n",
    "        ax[i, j].imshow(samples[i*8+j].view(28, 28).cpu().detach().numpy(), cmap='gray')\n",
    "        ax[i, j].axis('off')\n",
    "\n",
    "# plt.show()\n",
    "plt.savefig('cvae_mnist.webp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4d289935bf5b49c59674cee00fb30e57",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Encoding:   0%|          | 0/40 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# encode and plot the z values for the train set \n",
    "model.eval()\n",
    "z_all = []\n",
    "y_all = []\n",
    "pred_y_all = []\n",
    "pred_circ_all = []\n",
    "with torch.no_grad():\n",
    "    for data, target in tqdm(test_loader, desc='Encoding'):\n",
    "        data = data.view((-1,1,28,28)).to(device)\n",
    "        mu, x_recon, labels = model.forward(data)\n",
    "        z_all.append(mu.cpu().numpy())\n",
    "        y_all.append(np.argmax(target[:,0, 0:(fuzzy_labels-2)].cpu().numpy(), axis=1))\n",
    "        pred_y_all.append(np.argmax(labels[:, 0:(fuzzy_labels-2)].cpu().numpy(), axis=1))\n",
    "        pred_circ_all.append(np.argmax(labels[:, (fuzzy_labels-2):].cpu().numpy(), axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "z_all = np.concatenate(z_all, axis=0)\n",
    "y_all = np.concatenate(y_all, axis=0)\n",
    "pred_y_all = np.concatenate(pred_y_all, axis=0)\n",
    "pred_circ_all = np.concatenate(pred_circ_all, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9719"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.sum(y_all==pred_y_all)/len(y_all)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x76c4543c5cc0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WyvDlomAAwI9fKLD4+yQ8+XIWju7zQu/B+WjVqRRLp4dVrlGCH79Q4LkpWUhPcYYy1QmxbyiRkynD37tNV68UoRXw9NEiILQCUgcgqoNhasKMFCeUlTgwb+Z9Z3muVWDaJ6m48O9NebrqjDeJTl92BdnXZPjy/RBDnusUWLz9oiHP373Qe3CeIc83bvTwVuY5ORPpyc5Qpjkhdvo1Q557zK/KRve8juCICuze5AdLmrUqg6OTDp4+Wrh56BDVwXCTZ/JZ8f1w4XmN+zn3cwIAHaTQiegau5hiqY1VGxNOTk6IiYnBvn37MGTIEACATqfDvn37MGnSpEaN5YHB+SjIccQ3i4ORp3JEVIdSLNiYbBzmpEp3gvSmeq0ol+DrD4JxLdUJrm463PNQId749Ao8vLXGMhPeu4qvPwzGZ7PCkJ/jCL9ANQa8kI0Rr2VW/XibcOAnObz9tBg5XQm5QoPks66YPaJ5tZvjxKa2uBWhFdDdNDgxIc4d70+MQOwMJUbNVCIjxRnzXozElfM3P0NEARc3HaZ8eBUeXlqcPeaO2SOioC437SQjpynRb5jp3phVv10AAEx/sgX+PWI+20hDYN5NO+8DP8nh7avByGnXTHk+H2XKM8RCnpMiEfvGNYyacc2Q50vNzfNcGVCZZ5opz+fN8wSAR57Nwdlj7ki7ZHl60He/vYSgcNMwklV7Dduif2h0PWVff3he437O/Zzozkj0eusOutm6dStiY2Px+eef495778XSpUvx3Xff4dy5c9XupaiqsLAQ3t7eyLsQBS9P22nB1Yf+IdHWDoGIGorEdodU3BFbHANKwnE/txsavRr7sRMFBQXw8vKq/Q2N6MZvyVXH74Grh3juISm9rsH4rsdEuc2qsvpWGzZsGFQqFd5++20olUpER0dj9+7dtTYkiIiIiIjqg1YvhVYvngvTYoqlNlZvTADApEmTGn1YExERERER3RnbafYQEREREZGoiKJngoiIiIjIWnSQQAfx3Mcjplhqw54JIiIiIiIShI0JIiIiIiIShMOciIiIiMiucTYn4WwnUiIiIiIiEhU2JoiIiIiISBAOcyIiIiIiu6aFFFoRXWMXUyy1sZ1IiYiIiIhIVNiYICIiIiIiQTjMiYiIiIjsmk4vgU4vngfFiSmW2rBngoiIiIiIBGFjgoiIiIiIBOEwJyIiIiKyazqRzeakE1EstbGdSImIiIiISFTYmCAiIiIiIkE4zImIiIiI7JpOL4VOL55r7GKKpTa2EykREREREYkKGxNERERERCQIhzkRERERkV3TQgItxPOgODHFUhv2TBARERERkSBsTBARERERkSAc5kREREREdo2zOQnXJBoTT7TuCEeJzNphNKo9GSetHYJV9A+LsXYI1qHXWTsC69DrrR2Bddhr3mRfuJ8TNQm20+whIiIiIiJRaRI9E0REREREQmkhrhmUtNYOoA7YM0FERERE1ASsWLECkZGRcHFxQbdu3XD06NFbll+6dCnatGkDV1dXhIeH47XXXkNZWVmdPpONCSIiIiIiG7d161ZMnToVc+fOxfHjx9G5c2f0798fWVlZFstv2rQJM2fOxNy5c5GYmIh169Zh69atePPNN+v0uWxMEBEREZFduzGbk5iWuvr4448xduxYjB49Gu3bt8fq1avh5uaG9evXWyz/999/o0ePHhg+fDgiIyPRr18/PPfcc7X2ZlTFxgQRERERkQgVFhaaLeXl5RbLVVRUID4+Hn379jW+JpVK0bdvXxw5csTie+677z7Ex8cbGw/JycnYtWsXBgwYUKcY2ZggIiIiIhKh8PBweHt7G5dFixZZLJednQ2tVovAwECz1wMDA6FUKi2+Z/jw4Zg/fz569uwJmUyGFi1a4IEHHqjzMCfO5kREREREdk2rl0IrogfF3YglLS0NXl5extednZ3r7TP279+PhQsXYuXKlejWrRuSkpIwZcoUvPvuu5gzZ85tr4eNCSIiIiIiEfLy8jJrTNTE398fDg4OyMzMNHs9MzMTQUFBFt8zZ84cvPDCCxgzZgwAoGPHjiguLsa4ceMwe/ZsSKW317gSTxOMiIiIiIjqzMnJCTExMdi3b5/xNZ1Oh3379qF79+4W31NSUlKtweDg4AAA0NfhCfXsmSAiIiIiu6aHBDoRPbROLyCWqVOnIjY2FnfffTfuvfdeLF26FMXFxRg9ejQAYOTIkQgNDTXedzFo0CB8/PHH6NKli3GY05w5czBo0CBjo+J2sDFBRERERGTjhg0bBpVKhbfffhtKpRLR0dHYvXu38abs1NRUs56It956CxKJBG+99RbS09OhUCgwaNAgLFiwoE6fK9HXpR9DZAoLC+Ht7Y0HMBiOEpm1w2lUezJOWjsEq+gfFmPtEKxDr7N2BNZhu6cnIiKqpNGrsR87UVBQcFvj/xvTjd+SM488CmcP8fyWLL+uxvvdfxXlNquKPRNEREREZNfEOpuTLbCdSImIiIiISFTYmCAiIiIiIkE4zImIiIiI7JpOL4FOL57ZnMQUS23YM0FERERERIKwMUFERERERIJwmBMRERER2TUtpNCK6Bq7mGKpje1ESkREREREosLGBBERERERCcJhTkRERERk1zibk3DsmSAiIiIiIkHYmCAiIiIiIkE4zEmgQaOy8dT4LPgqNEhOcMXKt0Jx/qSbtcMS5Kcv/bF9VQByVY6Ial+KCe+lo22XEotlNWpgy/JA/L7NF9lKGcJalOOl2Rm4p0+RsYxWC2xYEoR938uRp5LBL1CNh5/JxfBXMyGxUq/doFgVnvpPJnwVaiQnumLlnHCcP+leY/lej+UhdnoGAsMqkH7ZGesWhuLYH97Gv/d4NA+PPZ+NVp1K4CXXYny/tkhOMK//R0dko8+QXLS8qwTunjoMbd8JxYUNe8gNilWZ75dzQm+d58B8xE6/ZsgzxRnrFobg2B9eN5XQY+Q0JR4ZngMPLy0S4tzx6axwZKQ4G0t8/c9ZBIWrzda7bmEwvlsRCAAIa1GGye9fRbNWZXD31CInU4Y/f5Rjw8dB0GrE2Y0rxuO7rjH1GpiP2DeUprpdEFy9bqdnmtftzDCzuvX00WDCe+no9nAh9Drg8C4frJoTgrISB2OZmN6FeGFaJiLalKGiXIIz/3hgzbwQZF51Mpbp80QenpmQhZCochQXOiDuT0+sfTcERXni+ApifRuItb6tsS2em5yJe/sWIqpDKTQVEjzZrmO1z2nduQQvvnkNrTqVQK+X4PxJV6x7LwTJCa6C8mxoYtzPxUQHKXQiusYuplhqYzuRikjvx/Mwbm4GNn4chIn9WyM5wQULNiXD209d+5tFZv9OH6yZF4IRU5VYsec8otqXYvbwKORnWz7pf/VBMHZt8MOE965i7f5zeOyFbMx/qTmSTptOnt+tCMDPX/tj4oJ0rD1wDi/NzsC2lQHYuc6/sdIy03tQLsa9fRUbPwnGxEfbIjnBFQs2JNVYX+1jrmPWihTs3uKPCY+0xd+7fTD3i2REtCk1lnFx0+HsMQ+sWxha4+e6uOgQt98LWz4LqvecLDHbLx9pY8hzY837Zfu7izFrxWXs3uyHCf3b4O893pi7LsUsz2cmZGHwiyosnxmOKYNao6xEioUbL0HmrDNb19eLg/BsdAfjsnO9qa41agl+3ybHm8Nb4KX722H13FA8OjwHI6dda5gNcYfEeHzXNab2dxdj1sor2L3ZFxP6tcbfu70wd/1l87qdqKqs2zBMGdjKULebks3qdsZnqYhoU4ZZz0bh7djm6NjtOl5dfNX498Dwcrzz5WWc+ssDEx5ujdnDo+Dlq8GcdZdNsdxTjOmfpmL3Fl+Me6ANFrwcgTbRpWbrsSbWt7jr21rbwtFJj4P/9cEvX1v+3nJx02LBxmSoMmSYMrAVXh/SEqXXHbBgUzIcHPWCcm1IYtzPqemwamPi4MGDGDRoEEJCQiCRSPDjjz9aM5zbNnRcNnZv8sXerb5IveiCT2eEobxUgv7P5Vo7tDrbsUaBR4bnoP+zuYhoXY7JH1yFs6sOezb7Wiy/73tfPPtKFu59qAjBERUYFJuDex4sxPefK4xlEuLc0b1/Abr1LURQeAV6DSxA195FVrsCMnRcFnZv9sfe7/yQetEVn85shvIyKfo/m2Ox/JCXshC33wvbVwciLckV33wUgqQzrhg8SmUss+97P2xcGowThzxr/Nwf1gXguxVBOHe85p6B+jR0rAq7N/lV5umCT2eGobxUiv7PWt4vh7ykqswzAGlJLvhmcbAhz9HZlSX0GDJGhc3LgnBkrzdSEl3x4ZQI+AWqcV//ArN1lV6XIk8lMy7lpaYrmcpUZ+z9zg/JCa7ISnfCP795448f5Ljr3uKG2hR3RIzHd11jGjJGhbg/PbF91U11e9oVg0ff2Odv1G0gjuyprNvJzQx1+4ihbsNbluGeB4vwyevhOH/CHWePemDlW6HoPTgfvoGGHyCtOpVC6qDHVx8E4doVZySddsP21Qq06FBq/EHVPqYYmWlO2LlOgcw0Z5w96oFfNviiTbTl3s/GxvoWd31bY1sAwLcfBeGHtQqknHOx+DnhLcvh5avFN4uDcPWSC65ccMGGjwPhG6BBYFiFoFwbkhj3c2o6rNqYKC4uRufOnbFixQprhlEnjjIdWnUqwfGbfkTq9RKcOOSJ9jHi+HK8XeoKCS7+64auva4bX5NKgS69riMh3vIPYHWFBE5Vrko7u+hw9qiH8d/t7y7GycOeuHrJ0GV86awLzh51xz0PFqGxOcp0aNWxhvrqavnHbLuYYpw45GX2WvwBL7SLEeePX+Dm/dJUD3q9BCcOe6B9DXEb8vQwey1+v6cxz6BmFfAL1OD4YVOZkiIHnDvhVm1bPDMxC9vOnMaKPefx1H+yIHWo+cpcSGQ57n6gEP/+41FjGWsR4/EtJKZ2MSXVGrrxByzU7U1lTHVrWGe7u4tRlO+Ai/+aLgIcP+QJvQ7GYZAX/3WFTidBv2dzIZXq4eapRd8n83DikIdxCFtCvDsUIWrc82AhAD18/NXo9VgBjv1Rc0O8sbC+xV3f1toWt+PqJWcU5Dqg/3O5cJTp4OSiwyPP5eLKBWco05xqX0EjEuN+LkZavUR0i62w6oDVRx99FI8++qg1Q6gzL18tHByBfJX5psvLdkR4y3IrRSVMYa4DdFoJfBTm3ZxyfzXSkpwtviemdxG+X6NAx/+7juDICpw45IG/dvlAd1P7YtikLJQUOWDM/W0hdQB0WmDUzGt4cGheQ6ZjkZev5hb1VWbxPXKFBnlVhnnlqWSQK8TbHWzcL7NlZq/nqWQIb2F5v5QrNMhTVSmfLYNcoQEA+AYY/ptfpUx+tsz4NwDYuV6BpNOuKMp3RPu7izF65jX4BqqxZp75ELBPdl5Ay7tK4eSixy8b/PDN4sYZ/lUXYjy+hcRkeR92hDygat2al8lXOcI3wLCf+yo0yM8x/7tOK0FRvqlMZpoz3nwuCrM/v4IpH1yFgyOQEOeGt56PMr4n4Zg7PpjUDG+uvgInZx0cZcCRvV747M2wum6Kesf6Fnd9W2tb3I7SYgdMf7IF3ll/GcNfzQQAZKQYto9OK64fgWLcz6lpsal7JsrLy1FYWGi2UOMa/+5VhDavwJj72+GxiM5YOTsM/YblQHLTnnTwJx/8sUOOmSuuYMWe85i2LBXbVwfgt+/k1gucGsyONQH494gnUhJd8cu3/lgzPwSDR6sgczLvwVo4PhITH2mDRRMicO9DhXjqP1lWipjqi1yhxquL0/DbNjleGdAKrz/RAuoKCeasvQzA0DvVrFUZxs9Px8ZPAjHpkdZ487nmCAyrwOQPxHHPBN0+1reJk4sOU5dcxdlj7nh1YCtMHdwSl8+54N1vU+Dkoqt9BURNiDim0rhNixYtwrx586waQ2GuA7QawEehMXtd7q9BnsqmNie8fLWQOuirXXm++ep0VT5+WrzzZQoqyiQozHOEX5Aa6xYEI6iZ6erG2ndDMGxSFh4Ykg8AaN6uDFlXnbBleSAefqZxeycKcx1rrq8smcX35KkcIfevUl6hrnYVX0yM+6V/lV4mhbrG/TJP5Vitt0Xubyqfm2X4r49CjdybtpWPvxqXztY8W8n5E25wlAGB4RW4esk03liVYej6T73oAqmDHlM+TMP3nwdApxPPVTwxHt9CYrK8D2uQl1W1bjXmdavQGOs2V+UIHz/zdUgd9PD0Mb1n0KhsFBc5YN17IcYyH77SDBvjE9G2awnOHXfHsFeycPaYO7avCgAApCS6oqxUio9/vISvPwgy+/zGxvoWd31ba1vcjj5P5CEwvAKvDmoJfeVwlPcnuuL7xLPo3r8AB3aK5+KZGPdzMeJD64SzqZ6JWbNmoaCgwLikpaU1egwatRQX/3VDl56m8f8SiR7RPa8jId62pliTOenRqlMJTtw0Jl6nA07eYpz9DU4uevgHq6HVGKYP7N7f1EtUXiaFRGo+Zl7qoIfeChNcaNRSXDxtqb6KkFDDjdGJ8e6I7mne69W1VxESa7iPRAxM+6Xp/hfTfnmrPK+bvdb1flOeylQn5GQ6mq3TzUOLtl1KbrktojqUQqtFjTOCAYZ7cxwd9WY9WmIgxuNbSEyJ8W6I7nU7dWtap6luDetMjHOHp48WLTuaxlRH97wOiRQ4d8JQxsVVD32VxuCNIR7Syrp1cdVVO/aNw0Cs/F3J+hZ3fVtrW9wOZ1cddDqY5arTSaDXm7aFWIhxP6emRWS7/K05OzvDy8vLbLGGHWv88ejwXPR9OhfhLcvwyvtX4eKmw94tlmdAErOh41T4dZMffvtOjtSLzlg+MwxlJVL0q5wB6MPJzbB+YbCx/Lnjbji8yxvXrjjh9P/cMXtEC+h1hilEb/i/hwux5dNA/O93LyjTnPDXr97Y8XmA2UwZjWnHmgA8+lw2+j6Vg/CWpXhlURpcXHXYu9UPADB96WWMnpluLP/jugDc/UAhnhyXifAWZXh+agZadSrBzq9MM1Z5+mgQ1b4EzVob7rsIb1GGqPYlZlf65Qo1otqXICTS0GvTvK2hjKeP5V6fO85zrQKPDs8x3y9dddi71bBfTl92BaNnZtyUp8KQ58tZlXleQ6tOpdj55Y2pECX48QsFnpucif97uACRbUsxfdkV5GTK8PcewzM32sUU44kxWYhqX4qgZuXo80Qu/vNOBv7YIcf1AkNjos8Tubh/UB7CW5YhqFk57h+Uh9Ezr+HAT3JRPmdCjMd3bTFNX5aK0bNMU+3++MVNdduyDM+/rqysW7/KEpV1OyUL/9evsm4/TTXU7W5D3aYlueDYH5549aOraBNdgvb3FGPie1dxYKcPcjMNV3T/t88TraNLMOI1JUKal6NlxxK8/kkalGkyJJ0xXOX95zcv9Hi0AANHZiOoWTna31OM8e+m49xxN+N6rIn1Le76tsa2AABFaAWiOpQiILQCUgfDRZKoDqVwcdMCAE4c9ISntxaTFqYjvGUZIlqX4fVP0qDVAKf+Et/kEmLcz6npYP+WAAd+ksPbT4uR05WQKzRIPuuK2SOaV7v51RY8MDgfBTmO+GZxMPJUjojqUIoFG5ONw5xU6U5mV1kqyiX4+oNgXEt1gqubDvc8VIg3Pr0CD2+tscyE967i6w+D8dmsMOTnOMIvUI0BL2RjxGuZjZ0eAODAf33h7afByGnXIFeokZzgitkvtDTWlyK0wuwG8oR4D7w/qTli38jAqBkZyEhxxrwxUbhy3tQF/n8PF2DaJ1eM/35z1WUAwLcfB2HDx4YhAI+9oMILU5XGMkt2XAAAfPRaBH7b5of6duAnObx9b+RZuV8+H2XKM6RKnnHueH9SJGLfuIZRM64Z8nypuVme360MgIubDlM+TIOHlxZnj7lj9vNRUJcbdgp1uQS9B+fj+alKyJz0UKY5YcdaBXasMTW8dFoJnpmQhdCockgkQNZVJ/z0lT92rDWVERMxHt+1xVRtH45zx/sTIxA7Q4lRM5WGun0x0rxuVygq6/aqqW5HmOoWAD6Y1AwTF6Tj/e8uVT7EzBsr3zLdWH/qL0+8P7EZnp6gwtMTVCgvlSIx3g1vjYhCRZlhPb995wtXDy0eH52NsXMzUFzggJN/eWDdAtNQGWtifYu7vq21LUZOU6LfMNOw3FW/Gc7f059sgX+PeCAtyQVzRzXHiKlKLP3vReh1EiSdccXsEVFWHbpXEzHu52Kj10uh04vnGrteRLHURqLXW2PwicH169eRlJQEAOjSpQs+/vhj9OnTB76+vmjWrFmt7y8sLIS3tzcewGA4SuzrgNiTcdLaIVhF/7AYa4dgHXo7vaHPeqcnIiKqJxq9GvuxEwUFBVYbVVKTG78lxx14Gk4e4vktWXFdjTW9t4lym1Vl1Z6JuLg49OnTx/jvqVOnAgBiY2Px1VdfWSkqIiIiIiK6HVZtTDzwwAOwYscIERERERG0kEBr7VkhbiKmWGpjOwOyiIiIiIhIVNiYICIiIiIiQTibExERERHZNZ1eXA+K09nQXQDsmSAiIiIiIkHYmCAiIiIiIkE4zImIiIiI7JpOZA+tE1MstbGdSImIiIiISFTYmCAiIiIiIkE4zImIiIiI7JoOEuhE9KA4McVSG/ZMEBERERGRIGxMEBERERGRIBzmRERERER2TauXQCuih9aJKZbasGeCiIiIiIgEYWOCiIiIiIgE4TAnIiIiIrJrfGidcLYTKRERERERiQobE0REREREJAiHORERERGRXdNBAp2IZlDiQ+uIiIiIiKjJY2OCiIiIiIgE4TAnIiIiIrJrekhENbRIL6JYasOeCSIiIiIiEoSNCSIiIiIiEoTDnGxU/5Boa4dgFT+nH7V2CFYxKLK7tUOwCr1Gbe0QrEOvt3YERER2RacX2WxOIoqlNuyZICIiIiIiQdiYICIiIiIiQTjMiYiIiIjsmk4vhU4vnmvsYoqlNrYTKRERERERiQobE0REREREJAiHORERERGRXeNsTsKxZ4KIiIiIiARhY4KIiIiIiAThMCciIiIisms6SKCDeIYWiSmW2rBngoiIiIiIBGFjgoiIiIiIBOEwJyIiIiKya5zNSTj2TBARERERkSBsTBARERERkSAc5kREREREdo3DnIRjzwQREREREQnCxgQREREREQnCYU5EREREZNc4zEk49kwQEREREZEgbEwQEREREZEgHOZERERERHaNw5yEY88EEREREREJwsYEEREREREJwmFORERERGTX9AB0EM/QIr21A6gD9kwQEREREZEgTbZnYtCobDw1Pgu+Cg2SE1yx8q1QnD/pVmP5XgPzEfuGEoFhFUhPcca6BcE49ofXTSX0GDk9E48Mz4GHlxYJce74dGYYMlKcjSU8fTSY8F46uj1cCL0OOLzLB6vmhKCsxMFY5v5B+Xh2ciZCo8pRkOOIn770x/ZVAca/v/5JKvoNy6sW35XzzhjXp+2dbZR6UNftKmY/f6XAjlWByFPJ0Lx9KV5+NxVtupRYLKtRA9s+C8a+bX7IUcoQGlWG0bPTEdOn0FjmxW53Ieuqc7X3PhabhfEL0xosj1sZNDITT41TQq5QIznRDSvnNsOFUx41lu81IBcjX09HYFg50i+7YP37YTj2p4/x7z0eycWAESq06lgML7kWEx7tgOQEU/0HhpXj67/+tbjuBeNb4NAu33rL7WaDYlXm++WcUJw/6V5j+V4D8xE7/ZrpeF8YUv14n6Y0P95nhZsd71//cxZB4Wqz9a5bGIzvVgQa/x3TuxAvTFMionUZKsolOPOPB9bMD0Gmhf1EUN6NfJ4LDKvA8NcyEd3jOuQKNXIyZfhjhxyblwVAozZdm6rtPCc2Tem8VhfMm3nbQ97U8Jpkz0Tvx/Mwbm4GNn4chIn9WyM5wQULNiXD209tsXz7u4sxa+UV7N7siwn9WuPv3V6Yu/4yItqUGss8M1GFwS+qsHxmGKYMbIWyEikWbkqGzFlnLDPjs1REtCnDrGej8HZsc3Tsdh2vLr5q/PvdfQox47Mr+OUbP7zcpw0+mxWGoWNVeHx0trHMqrdD8Wzn9sZlREw7FOY64ODPPvW/oeqorttVzA7ulOOLeWF4buo1LNudiObtS/D2iFbIz7bcvv72w1D8usEfL7+bilV/nsWAF1RYMKYFLp1xNZb5ZNc5fHvilHF5b/MFAECPgdUbh43h/oE5GPtWGjYsC8GkgR2QnOiGBd9eqLG+2sUUYebyS9jznT8mPtYBR/b64O01SYhobWpgubjqcPaYB9a/H25xHaoMJzx3d7TZ8s2SEJRcl+LYfu8GydNsv3ykDZITXLFgYy3H+4rL2L3ZDxP6t8Hfe7wxd12K+fE+IavyeA/HlEGtDcf7xktmxzsAfL04CM9GdzAuO9f7G/8WGF6Od9an4NRfHpjQrw1mD28BL18N5nxxuf7zbqTzXHjLMkileiybEYZxfdrg83dC8NgLORg9S2lcx+2c58SkKZ3X6oJ5M297yLsubszmJKbFVli1MbFo0SLcc8898PT0REBAAIYMGYLz58/f8XqHjsvG7k2+2LvVF6kXXfDpjDCUl0rQ/7lci+WHjFEh7k9PbF8VgLQkF3yzOBhJp10xeHROZQk9hoxRYfOyQBzZ442URFd8OLkZ/ALVuO+RAgCGL9l7HizCJ6+H4/wJd5w96oGVb4Wi9+B8+AYaDta+T+Xh793e+OVbfyhTnXF0nxe2fBaAZyZm4cbouJIiB+SpZMalVedSePhosXdLw1zRrYu6blcx+3FtIPoPz8bDw3LQrHUZJr6fCmdXHX7b4mex/J/f++KZV5S456FCBEVUYEBsNu5+sAA/fG66Cu3tp4E8wLQc/d0bwZFl6Nj9emOlZWbomEzs3qLAb9sUSL3oiuVvRqC8VIr+z1j+UTdkdCbiDnhj++fBSEtyxTdLwpB0xg2Px2YZy+z7wR+bPg3FicNeFteh00nM9t88lQz3PZKPQ7/4mvXQ1WueY1XYvckPe7/zM+yXM8MMeT5bw/H+kgpx+72wffVNx/sZVww2/ti9cbwH4cjeyuN9SoTheO9fYLau0utSs1zLS005tupUCqmDHl99EIxrV5yRdMYN2z8PQIsOpXBwvPPRsNY4z8Xt98KS15rh+AFPKFOd8c9eb2xfrUCPR03b5XbOc2LSlM5rdcG8mbc95E2Nw6qNiQMHDmDixIn4559/8Ntvv0GtVqNfv34oLi4WvE5HmQ6tOpXg+CFP42t6vQQnDnmifYzlISztYkpw4qbyABB/wBPtYgxxBDWrgF+gxmydJUUOOHfCDe0q19nu7mIU5Tvg4r+mLsPjhzyh1wFtK4fOyJz0qCg33+QVZVIoQtQIDLN8deCR53Jx4pAHstKdbncTNAgh21Ws1BUSJP3rhuhepiFKUikQ3bMI5+ItDwFSl0vhVOWqtJOLDglHayhfIcH+HX54eFgOJFa4uOAo06FVx2KzH/16vQQnDnuhXVfLjZt2XYurNRLiD3rXWP52tLyrGC07lGD3Vv/aCwtg2i9N9WDI0wPtYyyfR9rFFOPEIfN6i99v4Xg/bCpjOt7N1/nMxCxsO3MaK/acx1P/yYLUwfRj+eK/rtDpJOg3LBdSqR5unlr0fTIPJw55Qqu5s53CWuc5S9w9tSjKNzWihJznrKUpndfqgnkzb3vImxqPVRsTu3fvxqhRo9ChQwd07twZX331FVJTUxEfHy94nV6+Wjg4Avkq8+EqedmOkCs0Ft8jV2iQV2V4S57KEfIAQ3nfyv9WXWe+yhG+AYYvR1+FBvk55n/XaSUoyjeVidvviZ4DChDdswgSiR6hUeV48mWV4f2B1b9kfQPVuKdPIXZvsny1vDEJ2a5iVZjrCJ1WAh9/87h9FGrkqWQW39P1gUL8uCYQ6cnO0OmAEwc9cWSXHLlZlsv/s9sH1wsd8NAzORb/3tC85BpDfWWbx5efLYNcYfkHnVyhrlP529H/WRWuXHRBYrxn7YUFMO6XVeLOU8lufbxXqee8bFN50/FefVvc+BsA7FyvwKIJEXjj6ZbYtcEPz76SiTFvZRj/npnmjDeHt8Domdfwc8op/HDuNPyDK7DgPxHCE65krfNcVSGR5Rj8YjZ2fWs6R9X1PGdNTem8VhfMm3kDTT/vurL2kCZbHuYkqhuwCwoMXeW+vpaH9JSXl6O8vNz478LCQovlxOrXjb4IiSzH/K9T4CjTo6TIAT+s88fIaZnQ6aqXf/jpXFwvdMDfuy0PKaHGM25+GpZPj8D43h0ACRAcUY6+w7LxWw1X3Pdu8UNMnwL4BYnrx1NjcnLWoc/judi0PMTaoTSIHWtMNxSnJLpCXSHBlA/S8OWiYKgrpJAr1Hh1cRp+2+aL/T/6wNVDh5HTrmHOmsuY+WwLQERTEArhF6TGgo3JOPizD3696YJHXc9zRERk20TTmNDpdHj11VfRo0cP3HXXXRbLLFq0CPPmzbvlegpzHaDVAD5VWttyfw3yVJbTzVM5Ql7lKrVcoUFelqF8buV/fRQasyvRPgoNLp013ICbq3KEj5/5OqQOenj63PweCdYtCMGXi4IhD9CgIMcB0T0NQ0iUV6rO7qJH/2dzsW+73GyWFGsRsl3FystXA6mDvtrN1vmqmq/Ce/tp8Nb6S6gok6AwzxF+QWp8tTAUQc3Kq5XNuuqEU4e88OYXlxok/ttRmOdoqC9/83x8/GvufclTyepUvja9BuTC2VWHfd83XM+acb+sErdcob718V6lnuX+pvKm411tfrz7q43HuyXnT7jBUQYEhlfg6iUXDBqVjeJCKdYtMDWmPpwcgY1xCWjbtQTnjtc821RtrHWeu8E3UI0PtyUhIc4dy6aHVfmkupznrKspndfqgnkzb6Dp502Nx/q/UitNnDgRZ86cwZYtW2osM2vWLBQUFBiXtLTq021q1FJc/NcNXXoWGV+TSPSI7nkdCfGWp0BLjHdDdC/zceFd7y9CYrzhy16Z6oScTEezdbp5aNG2SwkSK9eZGOcOTx8tWnY0jT+M7nkdEilw7oT55+p0EuQoZdCopegzJB8JcW4oyDU/oDt1L0ZoVAV2b7b+jdeAsO0qVjInPVp2KsGpm+4P0OmAU4c90Tbm1vcHOLno4R+shlYD/L3LB9365Vcr89tWP3j7a3DPQwXVV9BINGopLp52R3QPU++dRKJHdI9CJB63fJ9H4nHz8gDQtVdBjeVr039YNv753QcFucIaI7fDtF+a6s20X1r+sZ4Y7278cXuD5ePdVMZ0vNfcAIjqUAqtFsZGqourDnqdee+DTmv4t/QOz7zWOs8Bhh6JxduTcPG0G5a8Fg59DV3xt3Oes7amdF6rC+bNvO0h77qy9pAmDnO6Q5MmTcLPP/+MgwcPIiys6lUuE2dnZzg7135la8caf0xbmoYLp9xw/oQbnhirgoubzjgj0vRlqchWyvDlomAAwI9fKLD4+yQ8+XIWju7zQu/B+WjVqRRLjVfcJPjxCwWem5KF9BRnKFOdEPuGEjmZMvy92zDdZVqSC4794YlXP7qK5TPC4CDTY+J7V3Fgpw9yMw0/prx8Nej1WD7+PeIBmbMe/YblotfAfEx/smW1HPo/l4vEeDdcOV/zldDGVtt2tSVDxmbik9ci0apTMVp3KcHOtQEoK5Wi7zDDPQ5LJkfCL7gCo2YZxsCfP+6GHKUTojqUIFvphE1LgqHTSfDkhEyz9ep0wO9b/fDQ0zlwsPLRteOLQExbkoKL/7rj/Cl3PPFipqG+thmGZk37OBk5Shm+/NAwzeuPXwZi8dbzGDpWiaN/eOOBQblo1bEEy2ZGGtfp4a1BQGgF/AIrAABhUYZpRW/MZnRDcEQZ7upWhDmjWjd8nmsVmPZJKi78e9N+6arD3q03jvcryL4mw5fvG3oIflynwOLtFw3H++9e6D04z3C8v3FjutvK431yJtKTnaFMc0Ls9GuG432P4XhvF1OMtl2KcepvT5Rcl6JdTDH+804G/tghx/UCQ8X/b58XnhirwohXlfhzpxxu7lqMnnkNyjQZks7c+XFtjfPcjYZEVroT1s4PgfdNvbE36r8u5zkxaErntbpg3szbHvKmxmHVnzt6vR6vvPIKfvjhB+zfvx/Nmzevl/Ue+EkObz8tRk5XQq7QIPmsK2aPaG68SVMRWmE2djchzh3vT4xA7AwlRs1UIiPFGfNejDT7If/dCgVc3HSY8uFVeHhpcfaYO2aPiIL6pllLPpjUDBMXpOP97y5VPrTOGyvfCjWLre/TeRj79jVIJIYrhdOfalHtoTFunlr0fCwfq+eYv9faatuutuT+wXkoyHXEho9CkKeSIapDKeZvuGi8GU2V4QSp1DQzT0W5FN9+GAJlqjNc3XSIebAAr396GR7eWrP1njzkCVW6Mx4eZv059Q/+7AdvPw1emJpueGhdghveGtnaWF8BIRXQ33QcJMZ74oPJUYidlo5R068i47IL5o9riSsXTPtn94fz8fqSFOO/31yRDADY8EkINiw17a/9n8lG9jUnHD/Y8Pf7HPhJDm9fDUZOu2baL5+PMh3vIRaO90mRiH3jGkbNuGY43l9qbn68rwyoPN7TTMf786bjXV0uQe/B+Xh+qhIyJz2UaU7YsVaBHWsUxnWc+ssT70+MwNMTsvD0hCyUl0qRGO+Gt0a0QEXZnXcKW+M81/X+IoRGVSA0qgKbjieYxdM/pLPx/2/nPCcWTem8VhfMm3nbQ97UOCR6vd5qE39PmDABmzZtws6dO9GmTRvj697e3nB1rf3KXWFhIby9vfEABsNRwgPCHvycLnymL1s2KLK7tUOwCr3GTm9gt95pmYio3mn0auzHThQUFMDLS1yTytz4Ldnzp4lwdBfPfV2a4nIcfnyFKLdZVVa9Z2LVqlUoKCjAAw88gODgYOOydetWa4ZFRERERES3werDnIiIiIiIyDaJ4gZsIiIiIiJr0eslNc5OZw1iiqU2opkaloiIiIiIbAsbE0REREREJAiHORERERGRXdNBAh3EM7RITLHUhj0TREREREQkCBsTREREREQkCIc5EREREZFd0+kl0IloBiUxxVIb9kwQEREREZEgbEwQEREREZEgHOZERERERHaND60Tjj0TREREREQkCBsTREREREQkCIc5EREREZFd42xOwrFngoiIiIiIBGFjgoiIiIiIBOEwJyIiIiKya5zNSTj2TBARERERkSBsTBARERERkSAc5kREREREdk0vstmcOMyJiIiIiIiaPDYmiIiIiIhIEA5zIiIiIiK7pgeg11s7ChMRhVIr9kwQEREREZEg7JkgmzIwNMbaIVjFnoyj1g7BKvqHRFs7BKuQONrnqVmv0Vg7BCIiqiP7/MYiIiIiIqqkgwQSiGcGJZ2IYqkNhzkREREREZEgbEwQEREREZEgHOZERERERHZNr5eI6kFxYoqlNuyZICIiIiIiQdiYICIiIiIiQTjMiYiIiIjsmk4vgUREQ4t0IoqlNuyZICIiIiIiQdiYICIiIiIiQTjMiYiIiIjsml5vWMRCTLHUhj0TREREREQkCBsTREREREQkCIc5EREREZFd40PrhGPPBBERERERCcLGBBERERERCcJhTkRERERk1zjMSTj2TBARERERkSBsTBARERERkSAc5kREREREdk2nl0AioqFFOhHFUhv2TBARERERkSBsTBARERERkSAc5kREREREdk2vNyxiIaZYasOeCSIiIiIiEoSNCSIiIiIiEoTDnIiIiIjIrhmGOYlnBiVbGubExoRAg0Zl46nxWfBVaJCc4IqVb4Xi/Ek3a4fV4MSYd11j6jUwH7FvKBEYVoH0FGesWxCMY3943VRCj5HTM/HI8Bx4eGmREOeOT2eGISPF2VjC00eDCe+lo9vDhdDrgMO7fLBqTgjKShyMZe4flI9nJ2ciNKocBTmO+OlLf2xfFVAt9sdHZyMwrAJZGU7YsiwAv2/3rbdtY8mNOHJVjohqX4oJ76WjbZcSi2U1amDL8kD8vs0X2UoZwlqU46XZGbinT5GxjFYLbFgShH3fy5GnksEvUI2Hn8nF8FczIbHSedka+8Q7X6WgRYdS+PhpUFTggBOHPLFuQTByM2UNmKm5QSOz8NTLmZAr1EhOdMXKt5vhwin3Gsv3eiwPI19PN+R92RnrF4Xh2J/exr/3eCQPA55XoVXHEnjJtZjwSDskJ5hvxw+3nken7tfNXvtlgz+WvxlRv8k1IJ7XDMRwXrPXvBuDGPdzaho4zEmA3o/nYdzcDGz8OAgT+7dGcoILFmxKhref2tqhNSgx5l3XmNrfXYxZK69g92ZfTOjXGn/v9sLc9ZcR0abUWOaZiSoMflGF5TPDMGVgK5SVSLFwUzJkzjpjmRmfpSKiTRlmPRuFt2Obo2O363h18VXj3+/uU4gZn13BL9/44eU+bfDZrDAMHavC46OzjWUGjszG6FnXsGFJIMb1aYNvPwrExIXp6PZwQQNsKYP9O32wZl4IRkxVYsWe84hqX4rZw6OQn235usJXHwRj1wY/THjvKtbuP4fHXsjG/JeaI+m0q7HMdysC8PPX/pi4IB1rD5zDS7MzsG1lAHau82+wPG7FWvvEqb88sODlCLzUqy3eGxuJkMhyzFl7uaHTNbp/UC7GzrmKDUuDMemxdkhOdMOCDRdrzLtdzHXMXJ6MPVv9MXFAOxzZ44O3115CRGtT3i5uOpw95oH1i8Ju+dm7NvnjuZhOxmXdwluXFxOe18RzXrPXvBuDGPdzajqs2phYtWoVOnXqBC8vL3h5eaF79+749ddfrRnSbRk6Lhu7N/li71ZfpF50waczwlBeKkH/53KtHVqDEmPedY1pyBgV4v70xPZVAUhLcsE3i4ORdNoVg0fnVJbQY8gYFTYvC8SRPd5ISXTFh5ObwS9QjfseMXwphLcswz0PFuGT18Nx/oQ7zh71wMq3QtF7cD58Aw0n5r5P5eHv3d745Vt/KFOdcXSfF7Z8FoBnJmYBMPRdPvRUHnZt8MOBn+RQpjrjwE45ft3gV1mmYexYo8Ajw3PQ/9lcRLQux+QPrsLZVYc9my1fPdv3vS+efSUL9z5UhOCICgyKzcE9Dxbi+88VxjIJce7o3r8A3foWIii8Ar0GFqBr7yKrXfGyxj4BAD+sVeDccXdkpTshIc4dWz8LQNuuJXBwbJy+6qFjMrF7sz9+2+aP1IuuWD6rGcpLpeg/LMdi+SEvZiHugDe2fx6EtCRXfLMkFEln3PD4KNP+t2+HHzYtC8GJw563/OzyUinyVDLjUnLd4ZblxYTnNfGc1+w178Ygxv1cbPR6iegWW2HVxkRYWBjef/99xMfHIy4uDg8++CAGDx6Ms2fPWjOsW3KU6dCqUwmOHzJ9uer1Epw45In2MZaHijQFYsxbSEztYkpw4pD5D6P4A55oF1MMAAhqVgG/QI3ZOkuKHHDuhBvaVa6z3d3FKMp3wMV/TT+Wjx/yhF4H43AhmZMeFeXmh1dFmRSKEDUCw9SmMmXmJ4vyMgnaRJc2yA9QdYUEF/91Q9depiEpUinQpdd1JMRbHgqjrpDA6aYreADg7KLD2aMexn+3v7sYJw974uolw7CBS2ddcPaoO+55sAiNzVr7RFWePho8ODQPCXFu0Goa/gvBUaZDq44lOHHYNLxDr5fgxGFPtOt63eJ72nW9Xq2REH/QC+26Ftf58/sMycXWkyex+rezGD0jHc4uutrfJAI8r4nnvGaveTcGMe7n1LRYtTExaNAgDBgwAK1atULr1q2xYMECeHh44J9//rFmWLfk5auFgyOQrzIfFpKX7Qi5QmOlqBqeGPMWEpNcoUFelSE9eSpHyAMM5X0r/1t1nfkqR/gGGL40fBUa5OeY/12nlaAo31Qmbr8neg4oQHTPIkgkeoRGlePJl1WG91de7Yrf74lHhueiZccSAHq06lSCR4bnQuakh7dv/W/TwlwH6LQS+CjMu7Xl/mrkqSwPc4rpXYTv1yiQnuwEnQ6IP+CBv3b5IDfLVH7YpCz0HpyHMfe3xYBmnTGxXxs8MVaFB4fm1XsOtbHWPnHDS7MzsDPpNLYnnIUiRI13Rje/o3xul5evxpB3lTzys2WQKywPY5ArNMhXmd/Pka9yrLF8Tf7c6YvFUyIxY1gbbF0RhAeH5uCNZSl1S8BKeF4Tz3nNXvNuDGLcz6lpEc0N2FqtFtu2bUNxcTG6d+9usUx5eTnKy8uN/y4sLGys8Ijq5NeNvgiJLMf8r1PgKNOjpMgBP6zzx8hpmdBVXrTduDQQ8gA1lv18ERKJ4Uvw921yPDNRZSxjbePfvYql05phzP3tAAkQElGOfsNysGern7HMwZ988McOOWauuIKINmW4dNYVq+eGVt6I3fgNCmvatioAuzf7ITCsAiOmKjF9WSreHtkcgO10V9fVr5tMQ94un3dFbpYMH2y5iOCIcly74nyLd5KtaSrntbqy17ztjR43Bq2Jg5hiqY3VGxOnT59G9+7dUVZWBg8PD/zwww9o3769xbKLFi3CvHnzGjlCc4W5DtBqAJ8qrXm5v6bGq7tNgRjzFhJTnsoRcv8q5RUa5FVeab9xxd1HoUFulumqrY9Cg0tnDTcd56oc4eNnvg6pgx6ePje/R4J1C0Lw5aJgyAM0KMhxQHRPw3ATZeUPrIoyKT6e2gzL3giHXKFGbqYMA57PQXGRFAU59b9NvXy1kDroq12NzsuW1Xh1ysdPi3e+TEFFmQSFeY7wC1Jj3YJgBDUzNerXvhuCYZOy8MCQfABA83ZlyLrqhC3LAxu9MWGtfcL0+Y4ozHVEerIzUi86Y2N8ItrFlCCxhmFk9aUw19GQd5U8fPzVyFNZnk0qT+VYrZfKR6GpsfztOnfCkGtIRJnoGxM8r4nnvGaveTcGMe7n1LRYfTanNm3a4OTJk/jf//6H8ePHIzY2FgkJCRbLzpo1CwUFBcYlLS2tkaMFNGopLv7rhi49TePBJRI9onteR0J8051iTYx5C4kpMd4N0TfdMwAAXe8vMv7YU6Y6ISfT0Wydbh5atO1SgsTKdSbGucPTR1vZnW0Q3fM6JFLg3Anzz9XpJMhRyqBRS9FnSD4S4txQkGt+8tZqJMi+5gSdToLeg/Nx9HevBrnxSuZk6Ho/cdh0v4NOB5w87IH2MbceJ+/kood/sBpajWHaxO79Tb2C5WVSSKTm11CkDnqrzJFtrX3CEknl2VXm1PAbQqOW4uJpN0T3MNWLRKJHdI8iJB73sPiexOMeiO5hfl9L156FSDx+Zw2fFh0MM+nc/ONNrHheE895zV7zbgxi3M+pabF6k9TJyQktW7YEAMTExODYsWNYtmwZPv/882plnZ2d4exs/StdO9b4Y9rSNFw45YbzJ9zwxFgVXNx02LtFPPNJNwQx5l1bTNOXpSJbKcOXi4IBAD9+ocDi75Pw5MtZOLrPC70H56NVp1IsnX5jKksJfvxCgeemZCE9xRnKVCfEvqFETqYMf+82zL+fluSCY3944tWPrmL5jDA4yPSY+N5VHNjpY3ymgJevBr0ey8e/Rzwgc9aj37Bc9BqYj+lPtjTGHhpVjjbRJTh3wg2e3loMfVmFyDZl+GhKswbbXkPHqfDRq83QunMJ2nQpwQ9rFSgrkaLfs4YZPT6c3Az+QWq8+OY1AMC5427IVsrQokMpspUybFgSBL0OeGaCaYaS/3u4EFs+DURAqNowzOmMK3Z8HoB+z1qeRaihWWOfaNOlGG2iS3HmqDuu5zsgOLIcsW8okZHidMsGR73m/UUgpi25jIun3XH+pBueeCnLkPd3hiFp0z5JQY7SCV9+EGrIe30AFn93HkPHZuLoH9544PFctOpUgmUzTc+H8PDWICC0An6V48LDWpQBgHHWpuCIcvQZnIujf3qhKM8RzduVYtzbafj3Hw+knLONHyk8r4nnvGaveTcGMe7nYiO2GZTEFEttrN6YqEqn05ndFyFGB36Sw9tPi5HTlZArNEg+64rZI5ojP1v8V+LuhBjzri0mRWiF2XjVhDh3vD8xArEzlBg1U4mMFGfMezESV87f/NwEBVzcdJjy4VV4eGlx9pg7Zo+Igvqm2Tw+mNQMExek4/3vLlU+5MgbK98KNYut79N5GPv2NUgkhito059qYTZdqlSqx5P/yUJYi3Jo1RKc+tsDrw1uicyrTg20tYAHBuejIMcR3ywORp7KEVEdSrFgY7JxmJMq3QnSm/orK8ol+PqDYFxLdYKrmw73PFSINz69Ag9vrbHMhPeu4usPg/HZrDDk5zjCL1CNAS9kY8RrmQ2Wx61YY58oL5Wix6MFeOF1JVzcdMjNkiHuT08sWBYIdUXjdAAf/K8vvH01eGFqhuGhdQmueOuFVsa8A0IqoNeZvpwS4z3wweQoxE5Lx6g30pFx2Rnzx7bAlQumvLs/nI/XP75i/PebKww3Vm/4JBgbPgmBukKC6J6FGPJSJlxcdVBdc8Jfv8qx+dPgRsm5PvC8Jp7zmr3m3RjEuJ9Tw1ixYgUWL14MpVKJzp07Y/ny5bj33ntrLJ+fn4/Zs2djx44dyM3NRUREBJYuXYoBAwbc9mdK9HrrPbB71qxZePTRR9GsWTMUFRVh06ZN+OCDD7Bnzx48/PDDtb6/sLAQ3t7eeACD4SjhAUFN156Mk9YOwSr6h0RbOwSrkDiK7jpPo9BrOLMMUVOk0auxHztRUFAALy+v2t/QiG78loz65k04uLlYOxwjbUkZkkcurNM227p1K0aOHInVq1ejW7duWLp0KbZt24bz588jICCgWvmKigr06NEDAQEBePPNNxEaGoorV67Ax8cHnTt3vu1YrfqNlZWVhZEjR+LatWvw9vZGp06dbrshQURERERUL5rAdE4ff/wxxo4di9GjRwMAVq9ejV9++QXr16/HzJkzq5Vfv349cnNz8ffff0MmM1yUj4yMrPPnWrUxsW7dOmt+PBERERGRaFV9DEJN9w9XVFQgPj4es2bNMr4mlUrRt29fHDlyxOK6f/rpJ3Tv3h0TJ07Ezp07oVAoMHz4cMyYMQMODg63HaPVZ3MiIiIiIqLqwsPD4e3tbVwWLVpksVx2dja0Wi0CAwPNXg8MDIRSqbT4nuTkZGzfvh1arRa7du3CnDlzsGTJErz33nt1itE+B+YSEREREd0gstmcUBlLWlqa2T0T9TmrqU6nQ0BAANasWQMHBwfExMQgPT0dixcvxty5c297PWxMEBERERGJkJeX123dgO3v7w8HBwdkZprPpJiZmYmgoCCL7wkODoZMJjMb0tSuXTsolUpUVFTAyen2ZiPjMCciIiIiIhvm5OSEmJgY7Nu3z/iaTqfDvn370L17d4vv6dGjB5KSkqC7ac7lCxcuIDg4+LYbEgAbE0RERERk5/R68S11NXXqVKxduxZff/01EhMTMX78eBQXFxtndxo5cqTZDdrjx49Hbm4upkyZggsXLuCXX37BwoULMXHixDp9Loc5ERERERHZuGHDhkGlUuHtt9+GUqlEdHQ0du/ebbwpOzU1FdKbnkwbHh6OPXv24LXXXkOnTp0QGhqKKVOmYMaMGXX6XDYmiIiIiIiagEmTJmHSpEkW/7Z///5qr3Xv3h3//PPPHX0mGxNEREREZNf0IpvNSUyx1Ib3TBARERERkSBsTBARERERkSAc5kRERERE9k0vMT4oThTEFEst2DNBRERERESCsDFBRERERESCcJgTEREREdk1oQ+KayhiiqU27JkgIiIiIiJB2JggIiIiIiJBOMyJiIiIiOybvnIRCzHFUgv2TBARERERkSBsTBARERERkSAc5kREREREdk2vl0AvogfFiSmW2rBngoiIiIiIBGFjgoiIiIiIBOEwJyIiIiIiG5pBSUzYmCCyAf1Doq0dglX8lH7M2iFYxeNh91o7BGpEEkf7/CrWazTWDsE6JLYzFr7+SPhDvQnjMCciIiIiIhLEPi+HEBERERFV4mxOwrFngoiIiIiIBGFjgoiIiIiIBOEwJyIiIiKyb3qI6yZxMcVSC/ZMEBERERGRIGxMEBERERGRIBzmRERERER2TlK5iIWYYrk19kwQEREREZEgbEwQEREREZEgHOZERERERPaNszkJxp4JIiIiIiIShI0JIiIiIiIShMOciIiIiMi+cZiTYOyZICIiIiIiQdiYICIiIiIiQTjMiYiIiIjsm15iWMRCTLHUgj0TREREREQkCBsTREREREQkCIc5EREREZFd0+sNi1iIKZbasGeCiIiIiIgEYWOCiIiIiIgE4TAnIiIiIrJvfGidYOyZICIiIiIiQdiYICIiIiIiQex2mNOgUdl4anwWfBUaJCe4YuVboTh/0q3G8r0G5iP2DSUCwyqQnuKMdQuCcewPr5tK6DFyeiYeGZ4DDy8tEuLc8enMMGSkOBtLPDc5E/f2LURUh1JoKiR4sl3HBsywYdR1uzUVtpo393OTX74KwA+rgpCnkqF5+xKMezcVrbsUWyyrUUuw/bNg/LHNDzlKJ4RGlSF2dhpi+hQay4zp1glZV52rvXdAbCb+szC1wfK42aBYlXn9zgnF+ZPuNZbvNTAfsdOvmep3YUj1+p2mNK/fWeFm9XuDzEmHZT9fQIsOZRjfrzWSzxr2K5mzDpPfT0OrjqVo1qoM//vdC/NeiqrfvK2wX7/zVQpadCiFj58GRQUOOHHIE+sWBCM3U3ZT3lfRqtNNeb/YvF7zrmrQyCw89XIm5Ao1khNdsfLtZrhw6hb1/1geRr6ebtgOl52xflEYjv3pbfx7j0fyMOB5FVp1LIGXXIsJj7RDckJN21WPd79Owj19CjFvTAsc2etTv8ndgr2c16xxfH/9z1kEhavN1rtuYTC+WxEIoHGOb6vhQ+sEs8ueid6P52Hc3Axs/DgIE/u3RnKCCxZsSoa3n9pi+fZ3F2PWyivYvdkXE/q1xt+7vTB3/WVEtCk1lnlmogqDX1Rh+cwwTBnYCmUlUizclAyZs85YxtFJj4P/9cEvX/s3eI4Noa7bramw1by5n5sc2umLdfPC8ezUDHyy+ywi25dg7ojWyM+2fD1lw4eh2L1BgXHvpmLFn2fwyAtZWDSmFS6dMf1gWbIrAV+fOGFc5m8+DwDoMTCvUXIyq99H2iA5wRULNtZSvysuY/dmP0zo3wZ/7/HG3HUp5vU7IauyfsMxZVBrQ/1uvGRWvze8NDsDOUpZtdelUj0qyqTYuV6BE4c86y/hStbar0/95YEFL0fgpV5t8d7YSIRElmPO2svV817n3yB5V3X/oFyMnXMVG5YGY9Jj7ZCc6IYFGy7WuB3axVzHzOXJ2LPVHxMHtMORPT54e+0lRLQ2bQcXNx3OHvPA+kVhtX7+Ey9lWWXqSns5r1nz+P56cRCeje5gXHauN+Xc0Mc32SbRNCbef/99SCQSvPrqqw3+WUPHZWP3Jl/s3eqL1Isu+HRGGMpLJej/XK7F8kPGqBD3pye2rwpAWpILvlkcjKTTrhg8OqeyhB5DxqiweVkgjuzxRkqiKz6c3Ax+gWrc90iBcT3ffhSEH9YqkHLOpcFzbAh13W5Nha3mzf3cZOfaQPQbrkLfYdlo1roME96/AmdXHX7fYvmHwf7v/fD0K9dw90MFCIoox4BYFWIezMePnwcZy3j7aSAPMC3HfvdGUGQZ7upe1Cg5DR2rwu5Nftj7nZ+hfmeGobxUiv7P1lC/L6kQt98L21ffVL9nXDF4dHZliRv1G4Qjeyvrd0qEoX77F5it6+4+hYjpXYS174ZW+5zyUgcsnxWOXzf5IVdV/53f1tqvf1irwLnj7shKd0JCnDu2fhaAtl1L4OCovynvMEPeWQ3f6T90TCZ2b/bHb9v8kXrRFctnNTPU/7Aci+WHvJiFuAPe2P55ENKSXPHNklAknXHD46OyjGX27fDDpmUhOHH41j8So9qXYOi4THwyPbI+U7ot9nJes+bxXXpdijyVzLiUlzoY/9bQxzfZJlE0Jo4dO4bPP/8cnTp1avDPcpTp0KpTCY7f1KLW6yU4ccgT7WNKLL6nXUxJtRZ4/AFPtIsxDJEIalYBv0CN2TpLihxw7oQb2tWwTlsjZLs1BbaaN/dzE3WFBEn/uiO6l2mIklQKdO5ZiHPxHpbfUy6tdrXOyUWPxKM1lK+QYP8OP/Qdlg1JI/RMm+rXFI9eL8GJwx5oH2N56Fa7mGKcOGQef/x+C/V72FTGVL+mdfr4q/Hq4jR8ODkC5aWN2w0vlv3a00eDB4fmISHODVpN4w9FcJTp0KpjCU4cNg1hMdS/J9p1vW7xPe26Xq/WSIg/6IV2XS3vLzVxdtFhxvIUrHirGfJU1XumGpJY6r+hWfP4BoBnJmZh25nTWLHnPJ76TxakDjY0rdAdkOjFt9gKqzcmrl+/jhEjRmDt2rWQy+UN/nlevlo4OAL5VVrUedmOkCs0Ft8jV2iQV2U4RJ7KEfIAQ3nfyv9WXWe+yhG+AeIeCnO7hGy3psBW8+Z+blKY6widVgIff/MYfRRq5NfwY6jLAwXYuSYIGcnO0OmAEwe9cGSXD3KzLJf/324fFBc64qFnsi3+vb4Z6zfbPJ48lezW9Vsl37xsU3lT/ZqXyc+WGf8G6DHtk1T88q0fLv7b+PcMWXu/fml2BnYmncb2hLNQhKjxzuiGvSeiJl6+msr6rxJztgxyheVjUa7QVK9blWON5Wvy8tw0JMa545/ffOr0vvpg7fpvLNY7voGd6xVYNCECbzzdErs2+OHZVzIx5q2MO86Jmrbb6qP66aefbnuFjz/+eJ0CmDhxIh577DH07dsX77333i3LlpeXo7y83PjvwsLCW5QmIhJm7PxUfDY9EhN6dwQkQHBEGfoOy8bvWxUWy/+2RYGYPgXwCxJvo6o+DH4xG64eOmxdHmjtUKxi26oA7N7sh8CwCoyYqsT0Zal4e2RzALZzo+Sd+L+H89H5viJMfLSdtUOhBrJjTYDx/1MSXaGukGDKB2n4clEw1BVWv/5MInVbjYkhQ4bc1sokEgm0Wu1tf/iWLVtw/PhxHDt27LbKL1q0CPPmzbvt9VtSmOsArQbwqdK6l/trkFfD+L88lSPk/lXKKzTIqxwXe2N8rI9CY3bl0kehwaWzrncUr1gI2W5Nga3mzf3cxMtXA6mDvtpVvnyVDD41XJX19tNg9vokVJRJUJTnCN8gNb5eGIbAZuXVymZddcKpQ16Y+UVSg8RvibF+q/S2yBXqW9dvlXzl/qbypvpVm9evv9pYv9E9itAuphg/p5wyW89nuy7gjx/k+OjViDtLrBbW3q8Lcx1RmOuI9GRnpF50xsb4RLSLKUFifM0z7DSEwlzHyvo3z8vHX13j0KM8lWO1/d3HwtXsW+l8XxGCI8rx/ZmTZq+/9fklnD3qgTeGtbntdQlh7fpvLNY6vi05f8INjjIgMLwCVy+J5z64BsGH1gl2W81MnU53W0tdGhJpaWmYMmUKNm7cCBeX29tBZ82ahYKCAuOSlpZ22593g0YtxcV/3dClp+kmSYlEj+ie15EQb7nbPjHeDdG9zMehdr2/yPgFokx1Qk6mo9k63Ty0aNulBIk1rNPWCNluTYGt5s393ETmpEfLTsU4ddP4cp0O+PewF9rGWB5ffoOTix5+wWpoNRL8vUuObv2qz9T0+1Z/ePurcc9D+fUdeo1M9WuK31S/ln/YJsa7I7rn7dSvqYypfg1lVs4Jw/iH22B8P8Py1guGKSEXjo/EVx8E12uOlohpv5ZUfnvKnBr/G1+jluLiaTdE9zD1zkskekT3KELiccv39SQe90B0D/PJAbr2LETi8dtvCH23Mgjj+7XHhEdMCwCsmR+OJdMi655IHYmp/huStY5vS6I6lEKrrT6kjuhmd7R3lJWV3XZDoKr4+HhkZWWha9euxte0Wi0OHjyIzz77DOXl5XBwcDB7j7OzM5ydq893Xlc71vhj2tI0XDjlhvMn3PDEWBVc3HTYu8UXADB9WSqylTJ8ucjw5fjjFwos/j4JT76chaP7vNB7cD5adSrF0uk3ps+T4McvFHhuShbSU5yhTHVC7BtK5GTK8Pdu0xzeitAKePpoERBaAamD4SAFgIwUJ5SVmOcqRrVtt6bKVvPmfm4yeGwmlr7WHC07FaN1l2L8tDYQZaVSPDTMcI/DJ5ObwzdYjdhZVwEA54+7I0fphKgOJchRyrB5SSj0OmDoBKXZenU6YN9Wfzz4dA4cGvm7dsdaBaZ9kooL/95Uv6467N16o36vIPuaDF++HwIA+HGdAou3XzTU7+9e6D04z1C/b4RXrrGyfidnIj3ZGco0J8ROv2ao3z2G+lVlOJnFUFZs+EWdccUJ2ddMf2vWqgyOTjp4+mjh5qFDVAfDjaw3nkVxR3lbYb9u06UYbaJLceaoO67nOyA4shyxbyiRkeJk9oPTkLcennIt3Ny1xn0/uQGucO/4IhDTllzGxdPuOH/SDU+8lGXYDt/5AQCmfZKCHKUTvvzAMOPWj+sDsPi78xg6NhNH//DGA4/nolWnEiybaepN8vDWICC0An6BhivcYS3KAMBsZh9LPRlZ6U7ITLvz7+bbYS/nNWsc3+1iitG2SzFO/e2JkutStIspxn/eycAfO+S4XmA6wTXk8U22qc5ff1qtFgsXLsTq1auRmZmJCxcuICoqCnPmzEFkZCReeuml21rPQw89hNOnT5u9Nnr0aLRt2xYzZsyo1pCoTwd+ksPbT4uR05WQKzRIPuuK2SOaG4dBKEIroLtpIpeEOHe8PzECsTOUGDVTiYwUZ8x7MRJXzpu+IL5boYCLmw5TPrwKDy8tzh5zx+wRUVCXmzp/Rk5Tot8w05XNVb9dAABMf7IF/j1i+WqSmNS23ZoqW82b+7lJr8G5KMh1xKaPQpGnkiGqQwne2XDBeHOiKsPJeKUZMMzmtPHDUChTneHipsXdDxbgtU+T4eFt3vt66pAXVOnO6DtM1ZjpAKisX18NRk67Zqrf56NM9RtioX4nRSL2jWsYNeOaoX5fam5evysDKus3zVS/z5vX7+1499tLZg++WrXXsA/0D40WnnAla+zX5aVS9Hi0AC+8roSLmw65WTLE/emJBcsCzcaRv7sh2Tzvyn2/f0jnO867qoP/9YW3rwYvTM0wPLQuwRVvvdDKuB0CQiqg15nu5UiM98AHk6MQOy0do95IR8ZlZ8wf2wJXLpi2Q/eH8/H6x1eM/35zRQoAYMMnwdjwSUi95yCEvZzXrHF8q8sl6D04H89PVULmpIcyzQk71iqwY435vWINeXxbFR9aJ5hEr6/bY2fmz5+Pr7/+GvPnz8fYsWNx5swZREVFYevWrVi6dCmOHDkiOJgHHngA0dHRWLp06W2VLywshLe3Nx7AYDhKxP3Djojq7qf027ufqql5POxea4dgHdZ4CpoISBztcwiJXiPeGfEaVGPMHy0yGr0a+/U/oqCgAF5eXrW/oRHd+C0Z/sm7kLqK574QXWkZ0l6bI8ptVlWdb83/5ptvsGbNGowYMcKs96Bz5844d+5cvQZHRERERETiVefLIenp6WjZsmW113U6HdTqO5sWcf/+/Xf0fiIiIiKiOuNsToLVuWeiffv2OHToULXXt2/fji5dutRLUEREREREJH517pl4++23ERsbi/T0dOh0OuzYsQPnz5/HN998g59//rkhYiQiIiIiIhGqc8/E4MGD8d///he///473N3d8fbbbyMxMRH//e9/8fDDDzdEjEREREREDUcvwsVGCJpColevXvjtt9/qOxYiIiIiIrIhgueji4uLQ2JiIgDDfRQxMTH1FhQREREREYlfnRsTV69exXPPPYe//voLPj4+AID8/Hzcd9992LJlC8LCwm69AiIiIiIiMRHb0CIxxVKLOt8zMWbMGKjVaiQmJiI3Nxe5ublITEyETqfDmDFjGiJGIiIiIiISoTr3TBw4cAB///032rRpY3ytTZs2WL58OXr16lWvwRERERERkXjVuTERHh5u8eF0Wq0WISEh9RIUEREREVGj0UsMi1iIKZZa1HmY0+LFi/HKK68gLi7O+FpcXBymTJmCjz76qF6DIyIiIiIi8bqtngm5XA6JxNRCKi4uRrdu3eDoaHi7RqOBo6MjXnzxRQwZMqRBAiUiIiIiInG5rcbE0qVLGzgMIiIiIiLrkOgNi1iIKZba3FZjIjY2tqHjICIiIiIiGyP4oXUAUFZWhoqKCrPXvLy87iggIiIiIiKyDXW+Abu4uBiTJk1CQEAA3N3dIZfLzRYiIiIiIpuiF+FiI+rcmHjjjTfwxx9/YNWqVXB2dsYXX3yBefPmISQkBN98801DxEhERERERCJU52FO//3vf/HNN9/ggQcewOjRo9GrVy+0bNkSERER2LhxI0aMGNEQcRIRERERkcjUuWciNzcXUVFRAAz3R+Tm5gIAevbsiYMHD9ZvdEREREREJFp1bkxERUUhJSUFANC2bVt89913AAw9Fj4+PvUaHBERERERiVedGxOjR4/GqVOnAAAzZ87EihUr4OLigtdeew3Tp0+v9wCJiIiIiEic6nzPxGuvvWb8/759++LcuXOIj49Hy5Yt0alTp3oNjoiIiIiooUkgrgfFSawdQB3c0XMmACAiIgIRERH1EQsREREREdmQ22pMfPrpp7e9wsmTJwsOhoiIiIiIbMdtNSY++eST21qZRCJhY4KoAUhkTtYOwSoeD73H2iFYxc/pcdYOwSoGhsZYOwSr0Gs01g6BGpNeRGNpGos95mxHbqsxcWP2JiIiIiKiJkcvMSxiIaZYalHn2ZyIiIiIiIgANiaIiIiIiEigO57NiYiIiIjIpukrF7EQUyy1YM8EEREREREJwsYEEREREREJIqgxcejQITz//PPo3r070tPTAQDffvstDh8+XK/BERERERE1OL0IFxtR58bE999/j/79+8PV1RUnTpxAeXk5AKCgoAALFy6s9wCJiIiIiEic6tyYeO+997B69WqsXbsWMpnM+HqPHj1w/Pjxeg2OiIiIiIjEq86zOZ0/fx73339/tde9vb2Rn59fHzERERERETUaid6wiIWYYqlNnXsmgoKCkJSUVO31w4cPIyoqql6CIiIiIiIi8atzY2Ls2LGYMmUK/ve//0EikSAjIwMbN27EtGnTMH78+IaIkYiIiIiIRKjOw5xmzpwJnU6Hhx56CCUlJbj//vvh7OyMadOm4ZVXXmmIGImIiIiIGo7YZlASUyy1qHNjQiKRYPbs2Zg+fTqSkpJw/fp1tG/fHh4eHg0RHxERERERiVSdGxM3ODk5oX379vUZCxERERER2ZA6Nyb69OkDiURS49//+OOPOwqIiIiIiKhRcZiTYHVuTERHR5v9W61W4+TJkzhz5gxiY2PrKy4iIiIiIhK5OjcmPvnkE4uvv/POO7h+/fodB0RERERERLahzlPD1uT555/H+vXr62t1RERERESN4sZD68S02Ip6a0wcOXIELi4u9bU6IiIiIiISuToPcxo6dKjZv/V6Pa5du4a4uDjMmTOn3gIjIiIiIiJxq3Njwtvb2+zfUqkUbdq0wfz589GvX796C4yIiIiIqFHoJYZFLMQUSy3q1JjQarUYPXo0OnbsCLlc3lAxERERERGRDajTPRMODg7o168f8vPzGygcIiIiIiKyFXW+Afuuu+5CcnJyQ8RCRERERNT49CJcbESd75l47733MG3aNLz77ruIiYmBu7u72d+9vLzqLbj6NGhUNp4anwVfhQbJCa5Y+VYozp90q7F8r4H5iH1DicCwCqSnOGPdgmAc++Pm3PQYOT0TjwzPgYeXFglx7vh0ZhgyUpwBAIFhFRj+Wiaie1yHXKFGTqYMf+yQY/OyAGjUhjZcp+7XMXScCq2jS+DuqUN6ihO2rQzAnz+IdwhZXbdjU2GreQ8amYmnxikhV6iRnOiGlXOb4cIpjxrL9xqQi5GvpyMwrBzpl12w/v0wHPvTx/j3Ho/kYsAIFVp1LIaXXIsJj3ZAcoL5dpAr1BjzZhq69CyAm4cOV5NdsPmzYPz1q29DpdnoxzcAvPNVClp0KIWPnwZFBQ44ccgT6xYEIzdTVu3zQiLLsWLvBei0wJPtOtZn6rX6+SsFdqwKRJ5KhubtS/Hyu6lo06XEYlmNGtj2WTD2bfNDjlKG0KgyjJ6djpg+hcYyL3a7C1lXnau997HYLIxfmNZgedzMGvX93ORM3Nu3EFEdSqGpkFisx/HvpqPDPcWIaFOGtCRnTHi4TX2mXe9s5bzG7+/6YSv1Tbbntnsm5s+fj+LiYgwYMACnTp3C448/jrCwMMjlcsjlcvj4+Ij2Porej+dh3NwMbPw4CBP7t0ZyggsWbEqGt5/aYvn2dxdj1sor2L3ZFxP6tcbfu70wd/1lRLQpNZZ5ZqIKg19UYfnMMEwZ2AplJVIs3JQMmbMOABDesgxSqR7LZoRhXJ82+PydEDz2Qg5Gz1KafU5yggveGxuJ/zzUGnu3+GL6p6no1rewWkxiUNft2FTYat73D8zB2LfSsGFZCCYN7IDkRDcs+PZCjXG3iynCzOWXsOc7f0x8rAOO7PXB22uSENHa9MPTxVWHs8c8sP798Bo/d9rHyQiLKsM7Y1rhP/064K/dcry54hJadCiu9xwB6xzfAHDqLw8seDkCL/Vqi/fGRiIkshxz1l6u9nkOjnrMXHkFZ/7nXu1vDe3gTjm+mBeG56Zew7LdiWjevgRvj2iF/GzL15G+/TAUv27wx8vvpmLVn2cx4AUVFoxpgUtnXI1lPtl1Dt+eOGVc3tt8AQDQY2Beo+Rkrfp2dNLj4H998MvX/reMb88WXxz8yadecm1ItnJe4/d3/bCV+ibbdNuNiXnz5qG4uBh//vmncfnjjz+My41/18U777wDiURitrRt27bOSdRm6Lhs7N7ki71bfZF60QWfzghDeakE/Z/LtVh+yBgV4v70xPZVAUhLcsE3i4ORdNoVg0fnVJbQY8gYFTYvC8SRPd5ISXTFh5ObwS9QjfseKQAAxO33wpLXmuH4AU8oU53xz15vbF+tQI9HC4yfs2V5IL5ZHIyEOHdcu+KMH9cpEPenJ3oMyK/3bVAf6rodmwpbzXvomEzs3qLAb9sUSL3oiuVvRqC8VIr+z2RbLD9kdCbiDnhj++fBSEtyxTdLwpB0xg2Px2YZy+z7wR+bPg3FicM190C2j7mOn74KwIVTHlCmuWDz8hAUFzqgVUfLV8PvlDWObwD4Ya0C5467IyvdCQlx7tj6WQDadi2Bg6N53/SoGdeQluSCg//1aZD8b+XHtYHoPzwbDw/LQbPWZZj4fiqcXXX4bYufxfJ/fu+LZ15R4p6HChEUUYEBsdm4+8EC/PB5oLGMt58G8gDTcvR3bwRHlqFj9+uNkpO16vvbj4Lww1oFUs7V/DylVXNC8d+v/HEt1ak+U24QtnJe4/d3/bCV+rYmaz+gzi4eWqfXG7Lq3bv3LZe66tChA65du2ZcDh8+XOd13IqjTIdWnUpw/JCn8TW9XoIThzzRPsbyj5t2MSU4cVN5AIg/4Il2MYYrq0HNKuAXqDFbZ0mRA86dcEO7GtYJAO6eWhTlO9wyXncvLYry6zz6rMEJ2Y5Nga3m7SjToVXHYrMf/Xq9BCcOe6FdV8s/+tp1La7WSIg/6F1j+ZokxHvg/kG58PDWQCLRo/egHDg563HqiGftb64jsRzfnj4aPDg0DwlxbtBqTNP5de5RhF4DC7DizVDBOQqlrpAg6V83RPcyXSmVSoHonkU4F295qJu6XAqnm67GA4CTiw4JR2soXyHB/h1+eHhYDiSNMIuhWOrb1tnKeU1M9c3vb6Ka1ekGbEkDfFs4OjoiKCjIuPj737oLua68fLVwcATyVeYHeF62I+QKjcX3yBUa5FUZBpCncoQ8wFDet/K/VdeZr3KEb4DlLsOQyHIMfjEbu761fEUQAO4flI/WnUuxd0vDjS0XSsh2bApsNW8vucYQd7b5+P38bBnkCsv7qFyhrlP5miyc2AKOjnps//cE/nsxHpMXXsH8cS1x7UrNV3SFsvbx/dLsDOxMOo3tCWehCFHjndHNjX/zlGswbWkaPno1HCXXb/0jpCEU5jpCp5XAx998O/go1MhTVb+vAwC6PlCIH9cEIj3ZGTodcOKgJ47skiM3y3L5f3b74HqhAx56Jsfi3+ubteu7qbCV85pY6pvf30S3VqcmdOvWrWttUOTm1q3L7OLFiwgJCYGLiwu6d++ORYsWoVmzZhbLlpeXo7y83PjvwkJxjk2syi9IjQUbk3HwZx/8usnyyajzfdfx+idpWDY9DFcu1P+PLqLGMvL1dLh7aTFzeBsU5Drivn55eHPFJUx7ui0un29aN/ttWxWA3Zv9EBhWgRFTlZi+LBVvj2wOQIJXF1/Fnz/44Mz/ar7hXWzGzU/D8ukRGN+7AyABgiPK0XdYNn7bavkiz94tfojpUwC/oKb5o5uI3992RGwzKIkpllrUqTExb968ak/AvhPdunXDV199hTZt2uDatWuYN28eevXqhTNnzsDTs/qQiEWLFmHevHl1+ozCXAdoNYBPlda33F+DPJXl9PNUjpBXuZonV2iQl2Uon1v5Xx+FxuyKnY9Cg0tnXc3e5xuoxofbkpAQ545l08Msfl7H/7uOeV+nYPXcEPy+XXxXNQBh27EpsNW8C/McDXH7m//I8/Gv+ap0nkpWp/KWBDcrw+BRWXi57124ctFwLKQkuuGue69j0MgsLJ8dWbdEamHt47sw1xGFuY5IT3ZG6kVnbIxPRLuYEiTGuyO6RxG699Phqf+oDIUlgIMDsCv1FJa+EYa9Ndy3UF+8fDWQOuir3Wydr6q5t8nbT4O31l9CRZkEhXmO8AtS46uFoQhqVl6tbNZVJ5w65IU3v7jUIPFbYu36bips5bxm7frm9zfR7anTMKdnn30WsbGxt1zq4tFHH8XTTz+NTp06oX///ti1axfy8/Px3XffWSw/a9YsFBQUGJe0tNqnIdSopbj4rxu69CwyviaR6BHd8zoS4i1fJU2Md0N0L/Nx4l3vL0JivGE2FmWqE3IyHc3W6eahRdsuJUi8aZ1+QWos3p6Ei6fdsOS1cOgtPBq9U/frePfbFKxbEIxfNzbsj4s7IWQ7NgW2mrdGLcXF0+6I7mHqvZNI9IjuUYjE45avlCceNy8PAF17FdRY3hJnV8N4e12VKyo6LSCp81NtamfN47uqG/nJnAzJvzqoFcY/3Nq4fLs4CMVFUox/uDX+/rX+LsrUROakR8tOJTh1030wOh1w6rAn2sbc+j4YJxc9/IPV0GqAv3f5oFu//GplftvqB29/De55qKD6ChqImOrbltnKeY3f3/XDVuqbbNdtN0kb4n6Jqnx8fNC6dWskJSVZ/LuzszOcnavPb16bHWv8MW1pGi6ccsP5E254YqwKLm4649jG6ctSka2U4ctFwQCAH79QYPH3SXjy5Swc3eeF3oPz0apTKZYar0xI8OMXCjw3JQvpKc5Qpjoh9g0lcjJl+Hu34UfCjRNRVroT1s4Pgbef6YrAjSu9ne+7jvnfpODHL/xx+Bdv49VCjVoiypu4atuOTZWt5r3ji0BMW5KCi/+64/wpdzzxYqYh7m2GISvTPk5GjlKGLz80TPP645eBWLz1PIaOVeLoH954YFAuWnUswbKZkcZ1enhrEBBaAb/ACgBAWJRhusU8lQx5KhnSLrkgPcUZkxdextoF4SjKc0T3/vno0qsQc19s1TB5WuH4btOlGG2iS3HmqDuu5zsgOLIcsW8okZHiZPxBkpZkPtyhdedS6HXAlfONd7V7yNhMfPJaJFp1KkbrLiXYuTYAZaVS9B1muMdhyeRI+AVXYNSsDADA+eNuyFE6IapDCbKVTti0JBg6nQRPTsg0W69OB/y+1Q8PPZ0Dh0Y+VVmjvgFAEVoBTx8tAkIrIHUAojoY9v2MFCeUlRjuiQmJLIeLuw6+Cg2cXPTGMqkXnI3PJxALWzmv8fu7fthKfVuV2GZQElMstbjtPf7GbE4N6fr167h06RJeeOGFel3vgZ/k8PbTYuR0JeQKDZLPumL2iObGm00VoRXQ3TSBSUKcO96fGIHYGUqMmqlERooz5r0YafYj4LsVCri46TDlw6vw8NLi7DF3zB4RBXW54Quj6/1FCI2qQGhUBTYdTzCLp39IZwBA36dz4eKmw7OTs/DsZNP0m6f+dscbT7Ws121QH2rbjk2VreZ98Gc/ePtp8MLUdMND6xLc8NbI1sa4A0IqoL9pv0+M98QHk6MQOy0do6ZfRcZlF8wf1xJXLpiuXHV/OB+vL0kx/vvNFckAgA2fhGDD0lBoNVLMGdUaL868innrLsLVXYeMy85YMrW52cPv6pM1ju/yUil6PFqAF15XwsVNh9wsGeL+9MSCZYFQV4jnR+P9g/NQkOuIDR+FIE8lQ1SHUszfcNF406UqwwlSqencXlEuxbcfhkCZ6gxXNx1iHizA659ehoe31my9Jw95QpXujIeHWZ5muCFZo74BYOQ0JfoNMz1LY9VvhudrTH+yBf49Yui9e/WjNHS+r7hamZH3tkPmVXFNF2sr5zV+f9cPW6lvsk0SfWO0Emowbdo0DBo0CBEREcjIyMDcuXNx8uRJJCQkQKFQ1Pr+wsJCeHt74wEMhqOEBwQ1XRKZuH6INBa9usLaIVjFz+nx1g7BKgaGxlg7BCJqABq9GvuxEwUFBfDyqvk5RdZw47dk1JyFcHARzw302rIyJL/7pii3WVVW7Yu7evUqnnvuOeTk5EChUKBnz574559/bqshQURERERULzibk2BWbUxs2bLFmh9PRERERER3QDyDe4mIiIiIyKaIb8oBIiIiIqLGxGFOgrFngoiIiIiIBGFjgoiIiIiIBOEwJyIiIiKyaxKRPbROTLHUhj0TREREREQkCBsTREREREQkCBsTREREREQkCBsTREREREQkCBsTREREREQkCGdzIiIiIiL7xofWCcaeCSIiIiIiEoSNCSIiIiIiEoTDnIiIiIjIrvGhdcKxZ4KIiIiIiARhY4KIiIiIiAThMCciIiIiIhsaWiQm7JkgIiIiIiJB2JggIiIiIiJBOMyJiIiIiOwbH1onGHsmiIiIiIhIEDYmiIiIiIhIEA5zIiIiIiK7xofWCcfGBJEN0KsrrB0CNaKBoTHWDsEqfk6Pt3YIVmGv9S2ROVk7BKvg+ZyaGg5zIiIiIiIiQdgzQURERET2jbM5CcaeCSIiIiIiEoSNCSIiIiIiEoTDnIiIiIjIrnE2J+HYM0FERERE1ASsWLECkZGRcHFxQbdu3XD06NHbet+WLVsgkUgwZMiQOn8mGxNERERERDZu69atmDp1KubOnYvjx4+jc+fO6N+/P7Kysm75vsuXL2PatGno1auXoM9lY4KIiIiI7JtehEsdffzxxxg7dixGjx6N9u3bY/Xq1XBzc8P69etrfI9Wq8WIESMwb948REVF1f1DwcYEEREREZEoFRYWmi3l5eUWy1VUVCA+Ph59+/Y1viaVStG3b18cOXKkxvXPnz8fAQEBeOmllwTHyMYEEREREZEIhYeHw9vb27gsWrTIYrns7GxotVoEBgaavR4YGAilUmnxPYcPH8a6deuwdu3aO4qRszkRERERkX0T6UPr0tLS4OXlZXzZ2dm5XlZfVFSEF154AWvXroW/v/8drYuNCSIiIiIiEfLy8jJrTNTE398fDg4OyMzMNHs9MzMTQUFB1cpfunQJly9fxqBBg4yv6XQ6AICjoyPOnz+PFi1a3FaMHOZERERERGTDnJycEBMTg3379hlf0+l02LdvH7p3716tfNu2bXH69GmcPHnSuDz++OPo06cPTp48ifDw8Nv+bPZMEBEREZFdawoPrZs6dSpiY2Nx9913495778XSpUtRXFyM0aNHAwBGjhyJ0NBQLFq0CC4uLrjrrrvM3u/j4wMA1V6vDRsTREREREQ2btiwYVCpVHj77behVCoRHR2N3bt3G2/KTk1NhVRa/4OS2JggIiIiImoCJk2ahEmTJln82/79+2/53q+++krQZ7IxQURERET2TaSzOdkC3oBNRERERESCsDFBRERERESCcJgTEREREdk3DnMSjD0TREREREQkCBsTREREREQkCIc5EREREZFdawoPrbMW9kwQEREREZEgbEwQEREREZEgdjvMadCobDw1Pgu+Cg2SE1yx8q1QnD/pVmP5XgPzEfuGEoFhFUhPcca6BcE49ofXTSX0GDk9E48Mz4GHlxYJce74dGYYMlKcjSWem5yJe/sWIqpDKTQVEjzZrmMDZmhgjTzf+SoFLTqUwsdPg6ICB5w45Il1C4KRmykDAMicdZj8/lW06lSKZq3K8L/fvTDvxebMW4Tquh2bClvJu7H388CwCgx/LRPRPa5DrlAjJ1OGP3bIsXlZADRqw7UpseznP3+lwI5VgchTydC8fSlefjcVbbqUWCyrUQPbPgvGvm1+yFHKEBpVhtGz0xHTp9BY5sVudyHrqnO19z4Wm4XxC9MaLI+GZCv7eVWDRmbiqXFKyBVqJCe6YeXcZrhwyqPG8r0G5GLk6+kIDCtH+mUXrH8/DMf+9DH+vccjuRgwQoVWHYvhJddiwqMdkJxgvh3kCjXGvJmGLj0L4Oahw9VkF2z+LBh//erbUGnWO1ut70bD2ZwEs8ueid6P52Hc3Axs/DgIE/u3RnKCCxZsSoa3n9pi+fZ3F2PWyivYvdkXE/q1xt+7vTB3/WVEtCk1lnlmogqDX1Rh+cwwTBnYCmUlUizclAyZs85YxtFJj4P/9cEvX/s3eI6A9fI89ZcHFrwcgZd6tcV7YyMRElmOOWsvG/8ulepRUSbFznX+OHHIk3mLVF23Y1NhK3lbYz8Pb1kGqVSPZTPCMK5PG3z+TggeeyEHo2cpjesQw35+cKccX8wLw3NTr2HZ7kQ0b1+Ct0e0Qn625etn334Yil83+OPld1Ox6s+zGPCCCgvGtMClM67GMp/sOodvT5wyLu9tvgAA6DEwr1Fyqm+2sp9Xdf/AHIx9Kw0bloVg0sAOSE50w4JvL9QYd7uYIsxcfgl7vvPHxMc64MheH7y9JgkRrU0NSxdXHc4e88D698Nr/NxpHycjLKoM74xphf/064C/dsvx5opLaNGhuN5zbAi2Wt9kG6zemEhPT8fzzz8PPz8/uLq6omPHjoiLi2vQzxw6Lhu7N/li71ZfpF50waczwlBeKkH/53Itlh8yRoW4Pz2xfVUA0pJc8M3iYCSddsXg0TmVJfQYMkaFzcsCcWSPN1ISXfHh5GbwC1TjvkcKjOv59qMg/LBWgZRzLg2a3w3WyvOHtQqcO+6OrHQnJMS5Y+tnAWjbtQQOjoZmdnmpA5bPCsOvm/yQm1X/nWP2mnd9q+t2bCpsJW9r7Odx+72w5LVmOH7AE8pUZ/yz1xvbVyvQ41HTcSCG/fzHtYHoPzwbDw/LQbPWZZj4fiqcXXX4bYufxfJ/fu+LZ15R4p6HChEUUYEBsdm4+8EC/PB5oLGMt58G8gDTcvR3bwRHlqFj9+uNlVa9spX9vKqhYzKxe4sCv21TIPWiK5a/GYHyUin6P5NtsfyQ0ZmIO+CN7Z8HIy3JFd8sCUPSGTc8HptlLLPvB39s+jQUJw57WVwHALSPuY6fvgrAhVMeUKa5YPPyEBQXOqBVR8u9XWJjq/VNtsGqjYm8vDz06NEDMpkMv/76KxISErBkyRLI5fIG+0xHmQ6tOpXg+E1XzPR6CU4c8kT7GMsnhXYxJdWusMUf8ES7GMMViaBmFfAL1Jits6TIAedOuKFdDetsaGLJ09NHgweH5iEhzg1ajeRO06qVveZd34Rsx6bAVvIWy34OAO6eWhTlO9xJOvVKXSFB0r9uiO5lGqIklQLRPYtwLt7yUBh1uRRON/UyAoCTiw4JR2soXyHB/h1+eHhYDiS2d3jbzH5elaNMh1Ydi81+9Ov1Epw47IV2XS036tp1La7WSIg/6F1j+ZokxHvg/kG58PDWQCLRo/egHDg563HqiPh7mW21vhvbjdmcxLTYCqteHv3ggw8QHh6OL7/80vha8+YNO7bWy1cLB0cgX2Weel62I8Jbllt8j1yhQV6V7vE8lSPkARoAgG/lf6uuM1/lCN8A63QhWjvPl2Zn4PHROXBx0yEhzg1vxzbOmGl7zbu+CdmOTYGt5G3t/fyGkMhyDH4xG2vnhwjKoyEU5jpCp5XAx19j9rqPQo2rlyz3Cnd9oBA/rglEh27XERxZjlOHPXFklxxancXi+Ge3D64XOuChZ3IsFxA5W9nPq/KSawxxZ8vMXs/PliG8RZnF98gVaovl5Yq6fTcvnNgCb352Cdv/PQGNWoLyUinmj2uJa1caZ6TBnbDV+ibbYdWeiZ9++gl33303nn76aQQEBKBLly5Yu3ZtjeXLy8tRWFhotpA4bVsVgAn9WmPWs1HQ6YDpy1JhU3cTCWSveZP98QtSY8HGZBz82Qe/brI8fMhWjJufhpDm5RjfuwOGRHbF6tnN0HdYNqQ1fEPu3eKHmD4F8AvieHN7MfL1dLh7aTFzeBu8Mqg9dnwRiDdXXEJkG17ZJ7JqYyI5ORmrVq1Cq1atsGfPHowfPx6TJ0/G119/bbH8okWL4O3tbVzCw2u+WaomhbkO0GoAH4X5VSu5vwZ5KssdNXkqR8irXOWSKzTIqxwPfGNccNV1+ig0yM0yvyLSWKydZ2GuI9KTnXH8oCcWjY9At75FjTLky17zrm9CtmNTYCt5W3s/9w1U48NtSUiIc8ey6WF3lEt98/LVQOqgr3azdb6q5qvR3n4avLX+ErZfPIH1/zuN1QfPwsVdh6Bm1a/aZl11wqlDXug/3PIYfVtgK/t5VYV5joa4/c3r0cdfjTyV5e/aPJWsTuUtCW5WhsGjsvDJ9OY4+ZcXUhLdsHFZKC6edsegkVm1r8DKbLW+G51ehIuNsGpjQqfToWvXrli4cCG6dOmCcePGYezYsVi9erXF8rNmzUJBQYFxSUur+3R8GrUUF/91Q5eeRcbXJBI9onteR0K85SnSEuPdEN3LfHxl1/uLkBjvDgBQpjohJ9PRbJ1uHlq07VKCxBrW2dDElKekci+TOTX8kWGvedc3IduxKbCVvK25n/sFqbF4exIunnbDktfCodeL66YBmZMeLTuV4NRN4+R1OuDUYU+0jbn1OHknFz38g9XQaoC/d/mgW7/8amV+2+oHb38N7nmooPoKbISt7OdVadRSXDztjugeplEJEoke0T0KkXjc8v0ticfNywNA114FNZa3xNnVMN5NV+VUrtOazvNiZqv1TbbDqk3S4OBgtG/f3uy1du3a4fvvv7dY3tnZGc7O1ef5rqsda/wxbWkaLpxyw/kTbnhirAoubjrs3WKYL3r6slRkK2X4clEwAODHLxRY/H0Snnw5C0f3eaH34Hy06lSKpcYrchL8+IUCz03JQnqKM5SpToh9Q4mcTBn+3u1t/FxFaAU8fbQICK2A1AGI6mCYkjEjxQllJfV/A6M18mzTpRhtoktx5qg7ruc7IDiyHLFvKJGR4mT2g6RZqzI4OunhKdfCzV1r3BbJZ01TMTJv66ptOzZVtpK3NfbzGw2JrHQnrJ0fAm8/05XOm6/0Wns/HzI2E5+8FolWnYrRuksJdq4NQFmpFH2HGe5xWDI5En7BFRg1KwMAcP64G3KUTojqUIJspRM2LQmGTifBkxMyzdar0wG/b/XDQ0/nwMHGL+jayn5e1Y4vAjFtSQou/uuO86fc8cSLmYa4txmmXJ/2cTJylDJ8+aFh5MKPXwZi8dbzGDpWiaN/eOOBQblo1bEEy2ZGGtfp4a1BQGgF/AIrAABhUYb9NU8lQ55KhrRLLkhPccbkhZexdkE4ivIc0b1/Prr0KsTcF1s17gYQyFbrm2yDVU+HPXr0wPnz581eu3DhAiIiIhr0cw/8JIe3nxYjpyshV2iQfNYVs0c0N96kpQitgO6mG+8S4tzx/sQIxM5QYtRMJTJSnDHvxUhcOW/6YvxuhQIubjpM+fAqPLy0OHvMHbNHREFdbrpsMXKaEv2GmeYkX/WbYZ7y6U+2wL9Hbv8qiZjzLC+VosejBXjhdSVc3HTIzZIh7k9PLFgWCHWFaVu8uyEZQeGmrucb26J/SGfmLRK1bcemylbytsZ+3vX+IoRGVSA0qgKbjieYxXPzPmzt/fz+wXkoyHXEho9CkKeSIapDKeZvuAh55TAPVYYTpFLTZeaKcim+/TAEylRnuLrpEPNgAV7/9DI8vLVm6z15yBOqdGc8PMx2hzjdYCv7eVUHf/aDt58GL0xNNzy0LsENb41sbYw7IKQC+pv2+8R4T3wwOQqx09IxavpVZFx2wfxxLXHlgukiT/eH8/H6khTjv99ckQwA2PBJCDYsDYVWI8WcUa3x4syrmLfuIlzddci47IwlU5ubPfxOzGy1vhuV2IYWiSmWWkj0er3Vwj127Bjuu+8+zJs3D8888wyOHj2KsWPHYs2aNRgxYkSt7y8sLIS3tzcewGA4SnhAEBHZsp/T460dglUMDI2xdghWIZE5WTsEq9CrK6wdQqPT6NXYj50oKCiAl1fNz/Owhhu/JdtNWAgHZ/HMzqUtL0PiyjdFuc2qsupov3vuuQc//PADNm/ejLvuugvvvvsuli5delsNCSIiIiIisi6rj/ocOHAgBg4caO0wiIiIiMhOSSoXsRBTLLWxgXkIiIiIiIhIjNiYICIiIiIiQaw+zImIiIiIyKo4m5Ng7JkgIiIiIiJB2JggIiIiIiJBOMyJiIiIiOyaRG9YxEJMsdSGPRNERERERCQIGxNERERERCQIhzkRERERkX3jbE6CsWeCiIiIiIgEYWOCiIiIiIgE4TAnIiIiIiIbGlokJuyZICIiIiIiQdiYICIiIiIiQTjMiYiIiIjsGh9aJxx7JoiIiIiISBA2JoiIiIiISBAOcyIiIiIi+8aH1gnGngkiIiIiIhKEjQkiIiIiIhKEw5yIiIiIyK5xNifh2DNBRERERESCsDFBRERERESCcJgT2Rapg7UjsA69ztoRWIXU1dXaIViFrrTU2iFYxcDQGGuHYBVb0v62dghW8Wz4fdYOgciEszkJxp4JIiIiIiIShI0JIiIiIiIShMOciIiIiMiucTYn4dgzQUREREREgrAxQUREREREgnCYExERERHZN87mJBh7JoiIiIiISBA2JoiIiIiISBAOcyIiIiIi+8ZhToKxZ4KIiIiIiARhY4KI/r+9+45vqur/AP5JupLuvTdlFATKUB5ARHyQ8SCCgCCClP0oICAyisgS2aLsjaBsBEQfRKayBH9AKbNllBZauvceWb8/UlJSUqCxbZLm83697quQnNx8v/fce5Nzz7knRERERFrhMCciIiIiMmr80TrtsWeCiIiIiIi0wsYEERERERFphcOciIiIiMi4cTYnrbFngoiIiIiItMLGBBERERERaYXDnIiIiIjIqAkUCggU+jO2SJ9ieRH2TBARERERkVbYmCAiIiIiIq1wmBMRERERGTfO5qQ19kwQEREREZFW2JggIiIiIiKtcJgTERERERk1gUK56At9iuVF2DNBRERERERaYc+ElnoOTUe/T1Lh6CJFTKQYa7/0wt1rlroOq8YZSt49Q9PQ7+MUOLpIEBMlxtqZPrh7zarS8h16ZCF0SiLcvEuR8NACWxZ44fIfdk+VUGDI5CR0G5gOazsZIi9bY+UXPkiMFQEAmrXNw9Kf7mtc96c9GuLedeV7t+qYi48+T4Rfg2KUlghx6/+ssfErL6Q8tqi+vJ+un5lez8/7nWyETklS5h1rgS0LPHH5D9sKeSej24cZsLaVIfKKFVZO90FibHm8c7bGoF6TItg7SZGXY4KI8zbYMt8TmSlmqjJv9MzCB5+mwCuwBDkZpvh1qwv2r3etlpw1eWdwMvqNTISDSylioqyw7it/3LthU2n517tnYMjEOLh5lyDhoQhbl/jh8hkHAICJqRyhn8Wj9ZtZ8PApQUGeCSIu2GHrUj9kppoDAJq2ycGSnZEa1z3hvaa4d9O6+pOEbuobAF77dw4GTUxBQHARSkuEuPm3FeaOCFQ936B5IYZ/kYj6TQuhUAhw95oltsz3REykuLo3QbUwlPPayzi2zR3/2+CJnDRz+AYXYNhXsQhqka+xrFQiwC9rvHDmJ1dkpZjDI7AIH05/hJBO2aoyP33rgwPf+ai9zrNeIb49fa0Gs6hZhlLfVY2zwzvZCJ2aXH58z/d49viekqJ+fId5qx3fA8en4LXOuQhsUgRpqQB9g5s+8z4hr+chdGoy/BsVo7hQiJM/OWDrIg/IZYLqTJ8MCHsmtNDx3SyMnp2Ind+6Y2zXBoiJFGH+rhjYOUl0HVqNMpS8O/bMxOhZj7HzOw+M7d4IMZFizN8RXWmcjVvlY/qaWBzd44wx3RrhwlF7zN4cA7+GRaoy/cekoNewNKya7osJPRuiuFCIBTuiYWYhBwBEXrHCBy2aqi2/73JC0iNz3LuuPPm7+ZRgzpYHuP6XDcZ0DcaMQUGwdZRi5qaY6sn76frp1lCZ987K66dx6wJMX/MQR3c7YUzXhrhwzA6zt8RWyDsVvYanYVWYDyb0bKDMe+cDVd4AcP2CNeZ/7I8RbwTj69EB8PQrwcyNsarnW3fKxbRVj/Dbdmf8961GWP2FN/qMSsW7Q9OqJe+K3vhPOkZ/8RA7V3nj017NEHvHEl9vjYKdo+btENwiD2Hf3cOxn1wx7t1muHjCETPX3YVf/UIAgIVIjnpNCrB7jTfG9WqGr8c2hHdAMWZvuKNaR9RVG3z4r1Zqy+97XZEUZ4F7Nyv/cv9P6Kq+X/9PNqauiMPxfY74pEtDTOpdH38eclA9L7KUYf7OB0hLMMeEng3w+XtBKCoQYv7OBzAx1b9+e0M5r72MC786Yfs8f/Sb+BgLj1yHX+MCLPyoMXLSzTSW37vUFyd3uGHYvBh8cyoCnQcnY9mohoi9pb7PejcoxPrwy6plzsFbtZFOjTCU+q5qnI1bF2D62kc4utsRY7o0wIWjtpj9/UP143tsWtnx7Y0J79RXHt+7YtSOb1NzBc7+zx6//eCs8X0CGxdh3vZYXPnTBmO7NMCCj/3wry65GDEjqXo3gC4o9HAxEDptTPj7+0MgEDyzjB07VpdhvVCf0ek4ussRx/c6Iu6+CCuneaOkSICuAzN1HVqNMpS8+4xOxdHdzji+zwlx98VYGeaLkmIhun6QobF87xGpuHLaFvvXuyE+Wowfv/FE9C0xeqm+7CrQe0Qqdq90x8Xj9oiNssSSif5wcpOgXddsAIBUIkRWmplqyc0yRdsuOTi+zwmA8mpN/WaFEJoosG2JJ5IeWSD6liX2r3dFvSZF1fIlq8+oNBzd5VSWtwgrw7xRUiRE1w8010/vEWllebsiPlqEH5d6KPMell6e98g07F7hjovH7RAbJcaSCX5leeeo1vPzJlfcuWqF1ARzRF6xwt7VbmjUslCVU+e+mbhwzA6/bXdGcpwFLp2yw57Vbug/NhU1cbZ8b3gSft/rihMHXBEXbYlVMwNRUiREl/dTNZbvNTQJV87a48BmL8Q/sMT25b54EGmFnh8lAwAK800xY2hjnDvijIRYMe5cs8G6uQFo0LQALh4lAMrqP91cteRmm6Jt50ycOOCKJ/Vf3XRR30ITBT7+KgGbvvbEb9udkRAjQtx9Ec7+r7wx4RNUAlsHGX78xh2PH4jw6J4YO751h6OrFG7epTWyLf4JQzmvvYzfNnnirYEpeHNAKrwbFGHkwhiYi2Q4vVdzL+D5Ay7oPS4BLd7KhptfCboMSUGLt7Lx20ZPtXImpgrYu0pUi62jtDbSqRGGUt9VjbP3yDRc+dMG+9c9dXzfFKPXsCefe0+ObzdcPFZ2fI/3VR7f3crP59u/ccfPm1wQe0ek8X06vpuN2CgRdn7njsSHFrj5tzU2f+2BnqHpEFvJqnszkIHQaWPi8uXLSEpKUi0nTpwAALz//vu6DOu5TM3kqN+sEFfPlQ+ZUCgEiDhng8atCnUYWc0ylLxNzeSo37SSOFsWaHxNcKsCRJyzVXss/Iwtglspy7v7lsLJTaq2zsI8E9y5ZqUqU1HbLtmwcZCWNSaU7t+whFwuQJcBGRAKFbC0kaFz30xEnLOBTPrPvnCW10/5cBqFQoCI89ZoXEmMyrzVh9+En7Z5Nu/z5WUK80xwJ8Ky0rxt7KV4q08WIq9YqXIyM1egtET9VFNaLISLp6Tav1yamslR/5V8XPvLXvWYQiHAtQv2CG6Rp/E1wS3ycO2Cvdpj4ecqLw8AljZSyOVAQZ6Jxuf/9e8s2NhLceKAS5VzeBm6qu/6TQvh4iGBQg6sOXYXu67ewtfbH6hd/Xz8wAI5mSbo+kEGTM3kMBfJ0W1gBh7ds0ByvHm1bYPqYCjntZchLRUg9qY1mr5e/sVQKASadsjBvXDNQ/wkpQKYieRqj5mL5LhzWb18cqwIn7RqjfHtW2LVp/WRnqBf9fiyDKW+tYkzuFUhIs6p11v4GQ3Hd8XPsQhLBFchdzNzBSQazucWYgXqNyuq5FVU1+m0MeHi4gJ3d3fVcvjwYdSrVw8dO3bUZVjPZesog4kpkJ2mfrtJVropHFwM92rNixhK3raO0srjdNXcPezgIkVWeoXyaWZwcFGWdyz7m11hqEB2mqnquYq6fpCB8DO2SE8q/9BNibfAF4OCMGxaIg7HRODnqOtw9pBg/icBVUtSA1X9VIhRmYfm+nFwkSIrrUL59PLyjq7Kv9kVymSnm6mee2LEF4n45f4N7L99Cy5epZgzvDynK2ds8Hr3HIS8ngeBQAGvwGL0/a+yl8DRrXr3HVsHZf1nZWjIy7mS+neWIKvidksvr/+KzMzlGD41Dmf+54zCfM23nXV9PxVXz9kjPbl67oWpSFf17e6rbPwN/jwZu1e4YVZoIPJzTLB0fzRs7JVligpMMKVfEP7dJwu/PriBQ/duoPWbefhycD29G1NtKOe1l5GbaQq5TAA7F/UGup2z5Jk6faJZx2wc2eSJpFgR5HLgxlk7XPrdEdmp5eetoBZ5+OTbaITtiMSI+TFIjbfAnL5NUZRveKOkDaW+tYlT8+eYKRxcKx7f6mWy00zhWMlnoyZXztgguHUB3uydBaFQASd3CQZ9lqJ8Dzf9GipWVU9mc9KnxVDozdmgtLQUO3bswPDhwyEQaP7AKSkpQW5urtpCpG+cPUrRqmMuju1xUnvcwUWCiUvicGK/Iz7t0Qif960PiUSAmRtiYVCDIzX4aZ0rxnRtgOkfKL8wTlkRhyc5/b7TCb9udcZX22Lw28PrWPHrfZz+RTksRi5/zkr1kImpHF+sugeBAFg9W3Mj0Nm9BC07ZOPYTzV3g7muCMs+MXavdMP5I/aIvmmJZZN8oVAob/4ElFe2J30Tj9tXrDCxZwNM6l0fD++KMO/HGJiLDKzC67ihc2Ph7l+ESW+2wODAttg6MxBv9k+F4KlvMS06ZeNf72TAL7gQzd/MRtgPUSjINcHFw5rH1FPddvWMDTbP88T4RY9x+OENfH/+Di79oeztUPDwNlp6M5vToUOHkJ2djaFDh1ZaZuHChZg7d27tBaVBbqYJZFLAvsLVAQdnKbLS9GZzVjtDyTs307TyOFM1X53LSjOFg3OF8i4S1VXczLK/9s4SZD61DnsXKR7cfnZ2mi79M5CXZYqLx+3VHu8ZmoaCXBNsme+temzJeAvsvHwLjVoW4s5V7W/UVdVPhavvyjw0109WmukzV98dnMvLZ6Yq/9q7VMjbWfJM3rlZpsjNMlWOoY+2wM4rkQhuVYiocCsAAmxZ4Imtizzg4CpBToYpQl5Xzi6T/Kh6r9znZinr38FJQ16V3ISqqddCuR3Uy5uYyvHFyntw9SxB2EeNK+2VeLtvGvKyTfH3KQeNz1cHXdX3kzJx98rHU0tKhUh+ZAFXL+W6O/XOgptPKSa+Wx8KhfLC0KKxfjgQeQttu+TgzK81t12qylDOay/D1lEKoYkCOWnqQ5By0s1gX0kvm62TFJO33EVpsQD5WWZwcC/FroV+cPMrqfR9rOxk8AgoRspDzWPq9Zmh1Lc2cWr+HJMiK7Xi8S19qc+x5zm40QUHNzrD0U2K/BwTuHmXYsQXyUiq5vM5GQ696ZnYsmULunfvDk9Pz0rLTJ8+HTk5OaolPj6+FiNUkkqEuH/DEi1eLx9PLRAoEPJ6PiLD9W9quepiKHlLJULcv6kpzjxEVvJlPSrcCiGvq/dyteyQV/ZFGEiOM0dGiqnaOi2tZWgUUqAqU06BLv0zcHK/4zP3QYjEcigqdEA8GfYh/If9meX1Uz4FZHn9PC9v9SkjW76hKe/yMpbWMjRqUagh73JPOhbNzNUvU8nlAmQkm0MqEaJT7yxEXrFETmb1foBLJULcv2WNkHbl48YFAgVC2uUgKkLzuPGoCBu18gDQon22WvknDQlP/2J8EdoYedmaGyaAAm/3TcWpn10gk9bc6VVX9X3/hiVKiwXwrlf+ZdPEVAE3n1KkPFZuEwuxHHI51PZ1uVwAhaK8Z0NfGMp57WWYmisQ0DQft/4qn9JaLgdunbdDg1aV3/8DAOYiBRw9SiGTCnDpiCNavV35zcjFBUKkPLKAvav+3Uz/IoZS39rEGRVuiZAOL3N8V/gca1GIKK1yFyAzxQylxUJ0ei8bqQlmiL6pn1M/vzRdz9xkwLM56UVT/NGjRzh58iQOHjz43HIWFhawsNB9y/fgRmdMXh6Pe9ctcTfCEu+NSoPIUo7jexx1HVqNMpS8D250xeTvHinjvGaJ90amQSSW4/he5bCjKcsfIj3ZDFsXeQEADm1xxdL999B3dAounbJDx16ZqN+sEMun+ZatUYBDW1wxcHwyEmItkBxvgdDJichIMcOFY/Zq7x3SPg8efqU4uvvZIQD/d8oO741KxaCJSfjzFwdYWskxLCwRyfHmiL79zz/IDm5yweTv4nDvxlP1I5bj+F5l/UxZ8QjpSWbYusizLG8XLN1/H33/m4pLJ23RsVcW6jcrwvKpT+aUF+DQZhcMHJ+ChBjlzbOhU5LK8lZ+YWnYogANmxfi1mUr5GebwsO/BKFTkpEYa676ELN1kKLDO9m4ccEaZiI5uvTPRIce2ZjSL+gf56zJz9974POl0bh/0wp3b1ij99AkWIhlOLFfeTP050vvIyPFHNu+8QMA/LLNA0t23UafEYm49KcDOr6TjvqvFGDljHoAlA2JGavvIahJAWaPagShUAEHZ+UXqbwcU0gl5d+QQ9rmwsO3BEf3udVIbk/TRX0X5pvgtx1O+GhyMtISzZCaYI5+Hyvvfzl32B4AEHHWBqO+TMS4BY/xy/cuEAoV6D8uFTKpchphfWMo57WX0WNUItZNqo/AZvkICsnHkS0eKCkyQcf+yjpaMzEIju6lGBgWBwC4H2GNrGRz+DUuQGayOfZ/5wOFQoB3P0lQrXP7PD+06pwFZ+8SZKWYY/+3PhCaAO17pWuMQd8ZSn2/KM4pK+KUn2MLPQAAhza7YOmBaOXxfcoWHXtlK4/vKU96wsuO7wmpys+xOHOETk1WHt9HyxugLl6lsLGXwdWrFEITILCJ8qbqxFhzFBcqJ5zo90kqrvxpA4VcgPb/yUH/samY/7Ef5HL9uieKao9eNCa2bt0KV1dX9OjRQ9ehvJQzvzrAzkmGIVOS4eAiRcxtMWYMCnjmZsi6xlDyPvM/R9g5STFkchIcXCSIiRRjxkdBqjhdvErVxupHhltj0bgAhE5NxNBpiUiMtcDckYF4dLf8Ksu+tW4QWcoxYXEcrG1luH3ZGjMGBz0zq0W3gRm4fdkK8Q+eHQJw/YINFo3zx/ufpOD9T1JQUiREVLgVvhwchNLif37J9syvDrBzfJJ3Wf0MDizP27NC3lessGicP0KnJmHotCRl3iMCKuTtqsx7SXxZ3laYMThQlXdJkRDt/5ODjyYnQySWIzPVDFdO22D+Cj9ISstz6vx+JkbNTIRAoLyCNuX9oOf+uNo/cfaIM+ycJBg8MR6OLhI8iLTCzOHByM5QDv9w9SyF4qkPvagIGyyeVB+hn8Vh6OdxSHgowrxPGuLRfWUDz8mtFG07ZwEA1h6+ofZeUwc1xs3/K/8g7vJ+Cm6H2+BxTM1fodNFfQPApnlekEkFmLoyDuYiOe5GWGJa/3rIz1F+nMQ/EGH20EAMmpSM5b/eg0IuQPRtMWYMrqc2vEJfGMp57WW0ezcDuZlm+GmZL7LTzODXuABh2yNVw5zSEyzw9C2JkmIh9i71RWqcCCJLGULeysLY5fdhZVc+xWdmkgVWjWuAvGxT2DpK0PDVPMz75QZsnfTnhuWqMJT6flGcz3yOXbHCorF+CJ2WjKFhycrje7i/+vG9xqXs+H5cfnwPUj++h0xORpcBWar/rztxDwAwpW893LiovBjwaqc8DByfAjNzBWIixZgzzB9X/lSfEZGMi0ChqDjwonbJ5XIEBARg4MCBWLRoUZVem5ubCzs7O7yJXjAV6NeJgGqIUPNUnHWekd7ZJhQbeLe5luRFRjrFom4/jnRmT/wFXYegEx/4tNN1CFRLpAoJTuMX5OTkwNZWvxoeT75LthowHybm+nMvkKy0GOF7Z+jlNqtI5yNYT548ibi4OAwfPlzXoRARERERURXofJhTly5doOPOESIiIiIi0oLOGxNERERERDqlbzMo6VMsL6DzYU5ERERERGSY2JggIiIiIiKtcJgTERERERm9f/j7sUaLPRNERERERKQVNiaIiIiIiEgrHOZERERERMZNodCvH87Up1hegD0TRERERESkFTYmiIiIiIhIKxzmRERERERGTaDQr9mc9CmWF2HPBBERERERaYWNCSIiIiIi0gqHORERERGRcVOULfpCn2J5AfZMEBERERGRVtiYICIiIiIirXCYExEREREZNYFcuegLfYrlRdgzQUREREREWmFjgoiIiIiItMJhTkRERERk3Dibk9bYM0FERERERFphY4KIiIiIiLTCYU5EREREZNQECuWiL/QplhdhzwQREREREWmFPRNkWOQyXUdAtUheWKjrEHRDaKLrCHRDYZzH9wc+7XQdgk4cS7ym6xB0oqtXC12HoAMCg7qhmKqGjQkiIiIiMm4KhXLRF/oUywtwmBMREREREWmFjQkiIiIiItIKhzkRERERkVHjbE7aY88EERERERFphY0JIiIiIiLSCoc5EREREZFxU0C/pq/Vp1hegD0TRERERESkFTYmiIiIiIhIKxzmRERERERGjbM5aY89E0REREREpBU2JoiIiIiISCsc5kRERERExk2hUC76Qp9ieQH2TBARERERkVbYmCAiIiIiIq1wmBMRERERGTXO5qQ99kwQEREREZFW2JggIiIiIiKtcJgTERERERk3RdmiL/QplhdgzwQREREREWmFjQkiIiIiItIKhzkRERERkVHjbE7aY88EERERERFphY0JIiIiIiLSCoc5EREREZFxkyuUi77Qp1hegI0JLfUcmo5+n6TC0UWKmEgx1n7phbvXLHUdVo0z1LyrGneHd7IROjUZbt6lSIi1wJb5Hrj8h+1TJRQYMiUF3T7MgLWtDJFXrLAyzBuJsRaqEgPHp+C1zrkIbFIEaakAfYOb1mCGSrWdp5t3KT78LAUh7fPh4CJBRooZ/jjogN0rXCGVKDs+zSzkGL/oMeo3K4Jv/WL830lbzB0eUJOb4R8zlP28Z2ga+n2cAkcXCWKixFg70wd3r1lVWr5DjyyETklU1vdDC2xZ4IXLf9g9VUKBIZOT0G1gOqztZIi8bI2VX/ggMVakKuEVUIxRXyag8av5MDVTIDZKjB+/8cT1CzYAgMDgQvQfm4JXXsuHraMUKfHm+G2HCw5tca2pzfCPGUp9V7e6lPevW52xf50rMtNMEdi4CGO+TkCjFoUay0olwJ5Vbjj5kyPSk83gXa8EI2Yk4tVOeaoyMhmwY5k7Th1wQFaaGZzcJHi7fyY+nJgCgaB2cuoZmqZePzO9nn98v5ON0ClJ5efzBZ7Pns8nJ6ufz6f7qH1uAcBr/87BoIkpCAguQmmJEDf/tsLcEYEAgMDGRWXHdwFsHaRIeWyO37Y749AWl5rYBGQgOMxJCx3fzcLo2YnY+a07xnZtgJhIEebvioGdk0TXodUoQ827qnE3bl2A6Wsf4ehuR4zp0gAXjtpi9vcP4dewSFWm/9g09BqehlVh3pjwTn0UFwqxYFcMzCzkqjKm5gqc/Z89fvvBucZzBHSTp09QMYRCBVZM88boTg2xYY4nenyUgWHTk1XrEAoVKC0W4pctzog4Z1OzG6EaGMp+3rFnJkbPeoyd33lgbPdGiIkUY/6O6Mrru1U+pq+JxdE9zhjTrREuHLXH7M0x6vU9JgW9hqVh1XRfTOjZUFnfO6LV9uuvfngAoakC0wbUx7j/KN/3q20P4OCifN+gZoXIzjDF4vH+GP1WY+xe5Y5hYQl4d2hqzW4QLRlKfVe3upT36V/ssXGuJwZNSsaaY3cR2LgIMz4MRHa65uul2xZ74MgOJ4z5+jE2nb6DHh+l46sRAYi+KVaV2bfGFYd/cMbY+QnYdOYORsxIxE9rXfHLFh2cz7s1VB7fO19wPl/zEEd3O2FM14a4cMwOs7fEVji+U8vO5z6Y0LOB8vje+UDt+H79P9mYuiIOx/c54pMuDTGpd338echB9XxQ00Jkp5ti8ad+GP1WI+xe6YZh0xPx7tC0mtsYpPd02piQyWSYOXMmAgICIBaLUa9ePcybNw8KhX537fQZnY6juxxxfK8j4u6LsHKaN0qKBOg6MFPXodUoQ827qnH3HpmGK3/aYP86V8RHi/DjUg9E3xSj17CMshIK9B6Zht0r3HDxmB1io8RYMt4XTm4StOuWo1rP9m/c8fMmF8TeEWl8n+qmizyvnLbFss98cfWMDZLjLPD3cTvsX++C9t3Lt0NJkQlWTffG77uckJmq/52hhrKf9xmdiqO7nXF8nxPi7ouxMswXJcVCdP0gQ2P53iNSceW0Lfavd0N8tLI3IfqWGL1UXwIU6D0iFbtXuuPicXvERlliyUR/ZX13zQYA2DpI4R1Ygn1r3BEbZYnEWBG+X+gFkaUc/mVfWo7vdcb62T64+bdyn/jjoBOO73VC++7ZNb9RtGAo9V3d6lLeBze6oNuHGej6QSb8GpRg/OLHsBDLcWy3o8bypw444oNPU/Hav/Pg4VeKnqEZePWtXBzYUH51PfKKFdp2zUGbzrlw9ylFh3dy0LJjXq313PQZlYaju5zKjm8RVoZ5o6RIiK4fVHI+H5FWdnw/dT6/JUavYellJZ6cz91x8XjZ+XyCX9nxrTxfC00U+PirBGz62hO/bXdGQowIcfdFOPu/8sbE8b1OWD/bGzf/ti47vh2Vx/d/cjREZWAUergYCJ02JhYvXox169Zh9erViIqKwuLFi7FkyRKsWrVKl2E9l6mZHPWbFeLqU1dYFQoBIs7ZoHErzV2qdYGh5q1N3MGtCp+5gh5+xgbBrQoAAO6+pXByk6qtszDPBHciLBGso22hT3la2ciQl23yT9LRGUPZz03N5KjftJI4WxZofE1wqwJEnLNVeyz8jO2L6/ualapMbpYJ4qMt0LlfBizEMghNFOgxOB1Zaaa4f7PyL1lWtjLkZetfQ9JQ6ru61aW8JaUC3L9hiZYd8lWPCYVAiw75iAzXPCRIUiqA+VNX4wHAQiTH7UvWqv83bl2Aa+dt8PiBcgjQg9si3L5khVffykNNK6+f8ngUCgEizlujcavnHd/Wao+Fn9ZwPj9fXqb8fK4sU79pIVw8JFDIgTXH7mLX1Vv4evsDtd4NTQz5nE/VQ6dn9wsXLqBXr17o0aMHAMDf3x+7d+/GpUuXdBnWc9k6ymBiCmSnqW+6rHRT+ASV6CiqmmeoeWsTt4OLFFkVusez0kzh4CoFADiW/a24zuw0Uzi66maIgL7k6elfgl7D07HpK0+t8tA1Q9nPbR2lz4mzWONrNNe3mWp4kmPZ3+x0M7Uy2WmmqucAAcIG1sfszTE4dPc6FHJl+RmDg5Cfo/njpHGrfHTsmYWZoUFVTbPGGUp9V7e6lHdupgnkMgHsXdTPSQ7OEsRHW2h8TauOeTiw0QVN/5UPD/9SRJyzxl9H7CF/qn0xYFwqCvNMMPKNRhCaAHIZMDQsCW/1yarJdAA8VT8VjsWsNDP41HvO+TytQvl0Mzi4VDyfVzi+081Uz7n7lgIABn+ejI1zvZAcb45+/03F0v3RGNEhWOMFgcatC9Dx3SzMHBKoRaZUV+i0Z6Jdu3Y4deoU7t27BwC4fv06zp8/j+7du2ssX1JSgtzcXLWFiPSDk7sE83fG4Oxhe/y+y0nX4VCNUGDc1/HIzjDF530aYPw7jXDhmB3mbnugsYHp17AIs7+PwY7vPHD1rK2G9RHVvk/mPYZXQClGvhGMHn7NsXaGN7oMyIDgqW9EZ3+1xx8HHRC25hHWHLuLySvisH+9K07sc6h8xQZOWJb/7pVuOH/EHtE3LbFski8UCuXN3RWVH9/udeL4FqD8h+v0YtH1BqkCnfZMhIWFITc3F40aNYKJiQlkMhnmz5+PQYMGaSy/cOFCzJ07t5ajVJebaQKZFLAva+0/4eAsRVaa/nXjVxdDzVubuLPSTOHgXKG8ixRZZeP9n4z7t3eRIjO1/CqPvYsUD26LoQu6ztPRTYIlP0Uj8ooVVkzx/sf56Iqh7Oe5maaVx5lqpvE1mutborqamVn2195ZUml9h7TPw2udc9CvSXMU5iuHNaye4YuWb9xG5/czsG+Nu+p1vvWLsHjPffy+0wm7V3r8w4xrhqHUd3WrS3nbOiqH21W84v70VfmK7J1kmLM1FqXFAuRmmcLJXYIt8z3g7lt+1X/TPE8MGJeKN3tnAwACgouR+tgce1a54e3+Nds7oaof5wq9LS6S55/PNfTOPClffj6vcHw7S1TH95MycffK7/OTlAqR/MgCrl7q6/atX4zFex/g953O2L3CHWTcdNozsW/fPuzcuRO7du3C1atX8cMPP+Cbb77BDz/8oLH89OnTkZOTo1ri4+NrOWJAKhHi/g1LtHi9fNykQKBAyOv5iAw3zCn1Xoah5q1N3FHhlgh5avwtALR8Iw9RZeNvk+PMkZFiqrZOS2sZGrUoRJSOtoUu83Ryl2Dp/mjcv2mJZZ/5QKEwpOsp6gxlP5dKhLh/U1OceYi8qnmceFS4FUJeV+/NbdnhJeo7pEBVxkKsHAciVx9uDrkcED5V7X4NirBk332c2O+IbUu8tM6zphlKfVe3upS3mbkC9ZsVIuKpewHkcuDac+4veMJcpICzhwQyKXD+iD3adi0/PkqKhRAI1e+AFZooUBvzw5TXT/n5ubx+nnd8v8z5vLxM+flcWeb+DUuUFgvg/dRQKhNTBdx8SpHyuLwB4tegCEt+isaJnxyxbbF+Xiig2qXTSxBTpkxBWFgYPvjgAwBA06ZN8ejRIyxcuBChoaHPlLewsICFheYxkLXp4EZnTF4ej3vXLXE3whLvjUqDyFKO43s0zxxRVxhq3i+Ke8qKOKQnm2HrQuVJ8dBmFyw9EI2+/03FpVO26NgrG/WbFWG56oq7AIc2u2DghFQkxFogOc4coVOTkZFihgtHy+fsd/EqhY29DK5epRCaAIFNlDexJcaao7iw+m9W00WeTxoSqQnm2PSVJ+ycyq8EPj1+17d+MUzNFbBxkMHSSqbaFjE66sl5HkPZzw9udMXk7x4p47xmifdGpkEkluP4XuUQsynLHyrre5Hyy/yhLa5Yuv8e+o5OwaVTdujYKxP1mxVi+TTfsjUKcGiLKwaOT1bWd7wFQicnKuv7mD0AICrcGvk5Jpiy/BF2fueOkmIhug9Kh7tPKS6dUg5z8GtYhCV77+PKGVsc3OimuloqlwE5mZp7TXTJUOq7utWlvPuMTsM3E33RoHkhGrYoxM+bXFBcKESXspmPloz3hbO7BMO/SAIA3LlqifRkM9RrUoT0ZDPsWOYOhVw5deoT/3o7F3tWusHVSwK/hsV4cEuMgxtc0aWS2dKq28FNLpj8XRzu3XiqfsRyHN/75Hz+COlJZti6SHl/2qEtLli6/77yfH7SFh17ZSnP51N9ytZYdj4fn4KEGAskx5sjdEpS2fGtPJ8X5pvgtx1O+GhyMtISzZCaYI5+Hyu3ybnD9gDKju99D3DljA0ObnR56vgWICfTsHq1nqFQoFZaiy9Ln2J5AZ3WfGFhIYRC9c4RExMTyCte9tIzZ351gJ2TDEOmJMPBRYqY22LMGBTwzM1SdY2h5v2iuF28StWutEZescKisX4InZaMoWHJSIy1wNzh/nh09+k5yF0gspRjwpLHsLaV4fZlK8wYFAhJSfn+PGRyMroMKO8OX3dCeW/QlL71cOOi+qwbhppnyzfy4BVYCq/AUuy6GqkWT1fP5qp/z9sRA3ef8m7yJ9vi6TL6wlD28zP/c4SdkxRDJifBwUWCmEgxZnwUVHl9h1tj0bgAhE5NxNBpicr6HhmoXt9r3ZT1vTiurL6tMWNwkKq+c7NMMWNwEIZOTcTiffdhYqrAo3tizBkRiJgo5RXtDj2yYO8sRee+mejct3way+R4c4S2faUWtkzVGEp9V7e6lPebvbKRk2GKH5d6ICvNFIFNijB/Z4xqmFNagjme/qpRWiLAD4s9kBRnDrGlHK/+OxdTVz6CtZ1MVWbM14/xwxIPrJ7ujewMUzi5SfCfj9Ix6LOUWsnpzK8OsHN8cnyX1c/gwPLj21PD+XycP0KnJmHotCTl8T0ioMLx7Vp2Po8vP58PVv/c2jTPCzKpAFNXxsFcJMfdCEtM619PNcFChx7ZZcd3Fjr3Lf98S443Q+i/mtTwViF9JVDo8Ecdhg4dipMnT2LDhg1o0qQJIiIiMHr0aAwfPhyLFy9+4etzc3NhZ2eHN9ELpgLDOwESEWkkNNJpFuWyF5ehOuNY4jVdh6ATXb1a6DqEWidVSHBacQg5OTmwtdWvm7WffJds/+85MDWtnd+FehlSaTH+OjVHL7dZRTrtmVi1ahVmzpyJMWPGIDU1FZ6envjvf/+LWbNm6TIsIiIiIjIiT2ZR0hf6FMuL6LQxYWNjg+XLl2P58uW6DIOIiIiIiLSg09mciIiIiIioeqxZswb+/v4QiURo06bNc38IetOmTejQoQMcHBzg4OCAzp07a/XD0WxMEBEREZFxU+jhUkV79+7FpEmTMHv2bFy9ehXNmzdH165dkZqaqrH86dOnMXDgQPz555+4ePEifHx80KVLFyQkJFTpfdmYICIiIiIycN9++y1GjRqFYcOGoXHjxli/fj0sLS3x/fffayy/c+dOjBkzBiEhIWjUqBE2b94MuVyOU6dOVel92ZggIiIiItJDubm5aktJSYnGcqWlpQgPD0fnzp1VjwmFQnTu3BkXL158qfcqLCyERCKBo2PVfm+GjQkiIiIiMmoChULvFgDw8fGBnZ2dalm4cKHG+NPT0yGTyeDm5qb2uJubG5KTk19qG0ybNg2enp5qDZKXYeA/V0hEREREVDfFx8er/c6EhYVFjbzPokWLsGfPHpw+fRoiUdV+b4ONCSIiIiIiPWRra/tSP1rn7OwMExMTpKSo/0p7SkoK3N3dn/vab775BosWLcLJkyfRrFmzKsfIYU5EREREZNzkerhUgbm5OVq1aqV28/STm6nbtm1b6euWLFmCefPm4ejRo2jdunXV3rQMeyaIiIiIiAzcpEmTEBoaitatW+O1117D8uXLUVBQgGHDhgEAhgwZAi8vL9V9F4sXL8asWbOwa9cu+Pv7q+6tsLa2hrW19Uu/LxsTREREREQGbsCAAUhLS8OsWbOQnJyMkJAQHD16VHVTdlxcHITC8kFJ69atQ2lpKfr166e2ntmzZ2POnDkv/b5sTBARERGRUXt6BiV9oG0s48aNw7hx4zQ+d/r0abX/P3z4UKv3qIj3TBARERERkVbYmCAiIiIiIq1wmBMRERERGTdF2aIv9CmWF2DPBBERERERaYWNCSIiIiIi0gqHORERERGRcVMolIu+0KdYXoA9E0REREREpBU2JoiIiIiISCsc5kRERERERk2gUC76Qp9ieRH2TBARERERkVbYmCAiIiIiIq1wmBMRERERGTfO5qQ1NiaISH8JBLqOQCcEZsZ5alaUyHQdgm4ITXQdgU509W6l6xB0Yk/cOV2HUOvy8uQICNZ1FFRTOMyJiIiIiIi0YpyXv4iIiIiIygjkykVf6FMsL8KeCSIiIiIi0gobE0REREREpBUOcyIiIiIi48bZnLTGngkiIiIiItIKGxNERERERKQVDnMiIiIiIuOmKFv0hT7F8gLsmSAiIiIiIq2wMUFERERERFrhMCciIiIiMmoChQICPZpBSZ9ieRH2TBARERERkVbYmCAiIiIiIq1wmBMRERERGTf+aJ3W2DNBRERERERaYWOCiIiIiIi0wmFORERERGTcFADkug7iKYYzyok9E0REREREpB02JoiIiIiISCsc5kRERERERo0/Wqc99kwQEREREZFW2JggIiIiIiKtcJgTERERERk3BfTrh+L0KJQXYc8EERERERFphY0JIiIiIiLSitEOc+o5NB39PkmFo4sUMZFirP3SC3evWVZavsM72Qidmgw371IkxFpgy3wPXP7D9qkSCgyZkoJuH2bA2laGyCtWWBnmjcRYCwCAm3cpPvwsBSHt8+HgIkFGihn+OOiA3StcIZUYTpuuqtutrjDUvI11P+8Zmqae90wv3L1mVWn5Du9kI3RKUnneCzyfzXtysnre031UeT/NzFyOFYfvoV6TYnzSpQFibtfeftLzoxT0G50EBxcJYqIssXaOH+5dt660fIf/ZGLIpMdw8y5BQqwI3y/2weXT9gAAE1M5Qj9PwKtvZsPDtwQFeSaI+MsW3y/2QWaquWodH4xNxGudshHYuBBSiQD9mreq6TSrnaEc3z1D09Dv4xQ4ukgQEyXG2pk+z9+ve2QhdEqicr9+aIEtC7xw+Q+7p0ooMGRyEroNTIe1nQyRl62x8gsfJMaKVCW8Aoox6ssENH41H6ZmCsRGifHjN564fsFGVSakfS5CpyTBv1ERiguFOLnfCVsXe0IuEzDvGnZsmzv+t8ETOWnm8A0uwLCvYhHUIl9jWalEgF/WeOHMT67ISjGHR2ARPpz+CCGdslVlfvrWBwe+81F7nWe9Qnx7+loNZqEnFAo9G+akR7G8gOF8i61GHd/NwujZidj5rTvGdm2AmEgR5u+KgZ2TRGP5xq0LMH3tIxzd7YgxXRrgwlFbzP7+IfwaFqnK9B+bhl7D07AqzBsT3qmP4kIhFuyKgZmF8ucUfYKKIRQqsGKaN0Z3aogNczzR46MMDJueXCs5V4eqbre6wlDzNtb9XC3vbg0REynG/J0vyHvNQxzd7YQxXRviwjE7zN4Sq573mNSyvH0woWcDZd47H6jyftqIGYnISDarsfwq80aPDIyaEYcdK7ww7p1XEBNlifk/3K007+CWeQhbEY1j+1wwtscruHjCAbM23Idfg0IAgIVYjqBXCrBrtSfG9WyCeR/Xh3dgMeZsuqe2HlMzOc4dccRvO11rPMeaYCjHd8eemRg96zF2fueBsd0bKffrHdGV79et8jF9TSyO7nHGmG6NcOGoPWZvjqmwX6eg17A0rJruiwk9Gyr36x3Ravv1Vz88gNBUgWkD6mPcf5Tv+9W2B3BwUb5vYHAh5v34AFdO22Jst0ZYMCYA/3o7GyOmJzDvGnbhVydsn+ePfhMfY+GR6/BrXICFHzVGTrrm88/epb44ucMNw+bF4JtTEeg8OBnLRjVE7C31hpl3g0KsD7+sWuYcvFUb6ZAB02ljIi8vDxMnToSfnx/EYjHatWuHy5cv1/j79hmdjqO7HHF8ryPi7ouwcpo3SooE6DowU2P53iPTcOVPG+xf54r4aBF+XOqB6Jti9BqWUVZCgd4j07B7hRsuHrNDbJQYS8b7wslNgnbdcgAAV07bYtlnvrh6xgbJcRb4+7gd9q93QfvuOTWeb3Wp6narKww1b2Pdz/uMSsPRXU44vs9JmXeYN0qKhOj6QSV5j0jDldO22L/+qbxvidFrWHpZiSd5u+Pi8bK8J/gp8+6qnlfrTrlo1TEPm+Z51XCWz+ozMhlH97rgxH4XxEWLsWqGvzLv99M0lu89LAVXzthh/0YPxD8Q48dvvRF92xLvDkkBABTmmeKLjxrh3G9OeBwjxp1r1lg72w8NmhXCxbNEtZ4dy73x8/fueHhHXCt5VjdDOb77jE7F0d3OZfu1GCvDfFFSLETXDzI0lu89IrVsv3ZDfLTyqnr0LTF6DX2yPyjQe0Qqdq90x8Xj9oiNssSSif5l+3U2AMDWQQrvwBLsW+OO2ChLJMaK8P1CL4gs5fAv+3Le8d0sxEaJsXO5BxIfinDzbxtsnu+FnkPTILaSMe8a9NsmT7w1MAVvDkiFd4MijFwYA3ORDKf3am7Ynz/ggt7jEtDirWy4+ZWgy5AUtHgrG79t9FQrZ2KqgL2rRLXYOkprIx0yYDptTIwcORInTpzA9u3bcfPmTXTp0gWdO3dGQkLNtexNzeSo36wQV8+Vd1UqFAJEnLNB41aFGl8T3KoQEU+VB4DwMzYIblUAAHD3LYWTm1RtnYV5JrgTYYngStYJAFY2MuRlm/yTdGqNNtutLjDUvI11Py/Pu3xoj0IhQMR5azQuy6Oi4FYFiDinPhQo/LSGvM+XlynPu3yd9s4STFwajyXj/VBSVHvDHICyvF8pQMT58qEcCoUAEX/ZIril5iEPwS3yEfGXndpj4WftKi0PKOtSLgcKcuvGCFlDOb5NzeSo37SSOFs+b7+2VXss/Izti4/na1aqMrlZJoiPtkDnfhmwEMsgNFGgx+B0ZKWZ4v5N5TAwM3MFJCXq+3tpsRAWIgXqN/tn29BY834Z0lIBYm9ao+nr5Rc0hEKgaYcc3Au30fgaSakAZiL13lRzkRx3LquXT44V4ZNWrTG+fUus+rQ+0hPMYRTkergYCJ01JoqKinDgwAEsWbIEb7zxBoKCgjBnzhwEBQVh3bp1Nfa+to4ymJgC2WnqH4ZZ6aZwcNHc+nZwkSIrvUL5NFM4uCrLO5b9rbjO7DRTOLpq7or19C9Br+HpOLLdSas8aps2260uMNS8jXU/V+VdoZs/K83s+XmnVSifXl6+PG/1MtnpZqrnAAUmfxeH37Y74f6N2h9rb+sgLcu7Qt2km6mGZVTk4CJ5Zjs9r7yZuRzDp8Xj9K9OKMw3jIsgL2Iox7eto7TyOCs59jQfz+X161j295l9IM1U9RwgQNjA+qjXpAiH7l7H4QcR6DMqFTMGByE/R7nuK2dsEdy6AG/2yoRQqICTeykGTVQOa6zsvMC8/7ncTFPIZQLYuZSqPW7nLHnmXPVEs47ZOLLJE0mxIsjlwI2zdrj0uyOyn7oHKqhFHj75NhphOyIxYn4MUuMtMKdvUxTlG+WoeHpJOts7pFIpZDIZRCKR2uNisRjnz5/X+JqSkhLk5uaqLYbIyV2C+TtjcPawPX7fZRiNCaKqMqb9vNfwdIit5di7yk3XodQIE1M5ZqyJhkAArJ7pr+twqNYoMO7reGRnmOLzPg0w/p1GuHDMDnO3PVB9Yb561habv/bC+IVxOBwTge/PRuLSn8qeAYUBXVlVVzfzHjo3Fu7+RZj0ZgsMDmyLrTMD8Wb/VAgE5Tf6tuiUjX+9kwG/4EI0fzMbYT9EoSDXBBcPO+swctJ3OmtM2NjYoG3btpg3bx4SExMhk8mwY8cOXLx4EUlJSRpfs3DhQtjZ2akWHx8fjeWeJzfTBDIpYF/hqpODsxRZaZq77rPSTOHgXKG8ixRZqcrymWV/K67T3kWKzFT1KwSObhIs+SkakVessGKKd5Xj1xVttltdYKh5G+t+rsrbWf3KoIOL5Pl5V7ga7+BcXr48b/Uy9s4S1XMh7fMQ3KoAh2Ov48ija9j6VxQAYPWRe5i8/NE/T+wFcrNMy/KuUDfOkmd6XZ7ISjN7ZjtpKm9iKscXqx/A1asE0z9qWGd6JQDDOb5zM00rjzO1svrVdDyX129m2d9n9gEXqeq5kPZ5eK1zDhaOCUDkFWtE37LE6hm+KC0WovP75fcsHNzkhj6Nm2Nwm1fwfrNmuHhMOXwuKe7Z2c6qwljzfhm2jlIITRTISVMfgpSTbvbMuUr1GicpJm+5ix/u/o3VF8Px7ekIWFjJ4eZXorE8AFjZyeARUIyUh6JKy9QVAoVC7xZDodN+q+3bt0OhUMDLywsWFhZYuXIlBg4cCKFQc1jTp09HTk6OaomPj6/ye0olQty/YYkWr+epHhMIFAh5PR+R4ZqHJ0SFWyKkg/o44pZv5CEqXDkDQnKcOTJSTNXWaWktQ6MWhYh6ap1O7hIs3R+N+zctsewzHygUtTuu+p/QZrvVBYaat7Hu5+V5l+dRnrfmqSSjwq0Q8vrL5F1epjxvZZm1M73xydsN8UkX5fLlR4EAgAWf+GPbYo9qzVETqUSI+7esENK+fPy0QKBASLtcRF3VPDVsVIQ1Qtqr9+62fF29/JOGhJd/MaYPboS87NqfpaomGcrxLZUIcf+mpjjzEHn1eft1hfrt8BLHc0iBqoyFWHmJXV7hSrtcDgifOawFyEwxR2mxEJ16ZyE1wQzRN//ZNjTWvF+GqbkCAU3zceup+57kcuDWeTs0aJX3nFcC5iIFHD1KIZMKcOmII1q9XflkA8UFQqQ8soC9a2mlZYh0eumlXr16OHPmDAoKCpCbmwsPDw8MGDAAgYGBGstbWFjAwuKft/gPbnTG5OXxuHfdEncjLPHeqDSILOU4vscRADBlRRzSk82wdaHyS8ChzS5YeiAaff+bikunbNGxVzbqNyvCctUVVwEObXbBwAmpSIi1QHKcOUKnJiMjxQwXjioP9CdfsFITzLHpK0/YOZVfOansyqG+edF2q6sMNW9j3c8PbnLB5O/icO/GU3mL5Ti+90nej5CeZIati5QzmBza4oKl++8r8z5pi469spR5T33S81mW9/gUJMRYIDneHKFTkpR5l12JTEtUvzpYXKC8IJL4yBzpSbVz8+LBze6YvCwG929Y4e51a7w3PFlZ3/tdAACTlz1ARrI5ti5V5nVoqxuW7rmDPiOTcOkPe7zZMwP1mxZgxRf+AJQNiS/XRiOoSSFmjWwAoVABB2flF4q8HFPV74a4eJbAxk4KF89SCIUKBAYXlOUuQnGh/vdiGMrxfXCjKyZ/90gZ5zVLvDfyyX6tHEI4ZflD5fG8SDmT2KEtrli6/x76jk7BpVN26NgrE/WbFWL5NN+yNQpwaIsrBo5PVh7P8RYInZxYtl/bAwCiwq2Rn2OCKcsfYed37igpFqL7oHS4+5Ti0qnym5z7fZyCK6dtoZAD7btno/+YFMz/JABy+T+/kGCseb+MHqMSsW5SfQQ2y0dQSD6ObPFASZEJOvZPBQCsmRgER/dSDAyLAwDcj7BGVrI5/BoXIDPZHPu/U17sefeT8klvts/zQ6vOWXD2LkFWijn2f+sDoQnQvle6xhiIAD350TorKytYWVkhKysLx44dw5IlS2r0/c786gA7JxmGTEmGg4sUMbfFmDEoQHVDlotXqdoVicgrVlg01g+h05IxNCwZibEWmDvcH4/ulk+FuG+NC0SWckxY8hjWtjLcvmyFGYMCISlRfuC2fCMPXoGl8Aosxa6rkWrxdPVsXqP5VpcXbbe6ylDzNtb9/MyvDrBzlGLI5KTyvAcHluftqSHvcf4InZqEodOSlHmPCFDPe61rWd7x5XkPLs9bH5z9zQl2TlJ8NCkBDs7KH637cmhDVd6unqVQPPUlJ+qqDRZPrIfQzx9j6OTHSHwowlf/rY9H95RXVZ3dJGj7djYAYN0R9Xnmp37QCDf+T/mlashnCXi7X/kXjbVHbj9TRp8ZyvF95n+OsHN6sl9LEBMpxoyPgio/nsOtsWhcAEKnJmLotETlfj0ysMJ+7abcrxfHle3X1pgxOEi1X+dmmWLG4CAMnZqIxfvuw8RUgUf3xJgzIhAxUeVX31/tlIOBnybDzEKOmEjl81f+VJ8pjHlXv3bvZiA30ww/LfNFdpoZ/BoXIGx7pGqYU3qCBQRPtWskxULsXeqL1DgRRJYyhLyVhbHL78PKrnwq28wkC6wa1wB52aawdZSg4at5mPfLDdg6SSu+fd3DH63TmkCh0F20x44dg0KhQMOGDREdHY0pU6ZAJBLh3LlzMDN78Yk8NzcXdnZ2eBO9YCrQrxM/EVUDgeEMBaxOAnMjmYqxAkVJ5WO36zSh/vfgUPXZ8+icrkOodXl5cgQEJyMnJwe2tvp1keHJd8l/N5kCU5Oav9/lZUllJTh1e6lebrOKdHpZLScnB2PHjkWjRo0wZMgQvP766zh27NhLNSSIiIiIiEi3dDrMqX///ujfv78uQyAiIiIiY8dhTlrTnwG/RERERERkUNiYICIiIiIirejFbE5ERERERDrDYU5aY88EERERERFphY0JIiIiIiLSCoc5EREREZFxkwPQp582kr+4iL5gzwQREREREWmFjQkiIiIiItIKhzkRERERkVETKBQQ6NEMSvoUy4uwZ4KIiIiIiLTCxgQREREREWmFw5yIiIiIyLjxR+u0xp4JIiIiIiLSChsTRERERESkFQ5zIiIiIiLjJlcAAj0aWiTXo1hegD0TRERERESkFTYmiIiIiIhIKxzmRERERETGjbM5aY09E0REREREpBU2JoiIiIiISCsc5kRERERERk7PhjlBn2J5PvZMEBERERGRVtiYICIiIiIirRj0MCdFWXfU9vjVsLW11XE0RERERFSRqSIXgI/qe5te4mxOWjPoxkReXh4AwMfHR8eREBEREdHz5OXlwc7OTtdhUDUz6MaEp6cn4uPjYWNjA4FAUKvvnZubCx8fH8THxxtVrwjzZt7GgHkzb2PAvJl3bVEoFMjLy4Onp2etvi/VDoNuTAiFQnh7e+s0BltbW6M6GT3BvI0L8zYuzNu4MG/joqu89b5HQq6AXs2gJNejWF6AN2ATEREREZFW2JggIiIiIiKtGPQwJ12ysLDA7NmzYWFhoetQahXzZt7GgHkzb2PAvJk3PUUhVy76Qp9ieQGBQq/n6SIiIiIiqhm5ubmws7NDZ98xMBXqT0NLKi/Bybi1yMnJ0ft7ezjMiYiIiIiItMJhTkRERERk3PijdVpjzwQREREREWmFjQkiIiIiItIKGxNaWrNmDfz9/SESidCmTRtcunRJ1yHVqLNnz6Jnz57w9PSEQCDAoUOHdB1SrVi4cCFeffVV2NjYwNXVFb1798bdu3d1HVaNW7duHZo1a6b6caO2bdvi999/13VYtWrRokUQCASYOHGirkOpcXPmzIFAIFBbGjVqpOuwakVCQgIGDx4MJycniMViNG3aFFeuXNF1WDXK39//mfoWCAQYO3asrkOrUTKZDDNnzkRAQADEYjHq1auHefPmwRjmocnLy8PEiRPh5+cHsViMdu3a4fLly7oOS7/IFfq3GAg2JrSwd+9eTJo0CbNnz8bVq1fRvHlzdO3aFampqboOrcYUFBSgefPmWLNmja5DqVVnzpzB2LFj8ffff+PEiROQSCTo0qULCgoKdB1ajfL29saiRYsQHh6OK1eu4K233kKvXr1w+/ZtXYdWKy5fvowNGzagWbNmug6l1jRp0gRJSUmq5fz587oOqcZlZWWhffv2MDMzw++//47IyEgsW7YMDg4Oug6tRl2+fFmtrk+cOAEAeP/993UcWc1avHgx1q1bh9WrVyMqKgqLFy/GkiVLsGrVKl2HVuNGjhyJEydOYPv27bh58ya6dOmCzp07IyEhQdehUR3AqWG10KZNG7z66qtYvXo1AEAul8PHxweffvopwsLCdBxdzRMIBPj555/Ru3dvXYdS69LS0uDq6oozZ87gjTfe0HU4tcrR0RFLly7FiBEjdB1KjcrPz0fLli2xdu1afP311wgJCcHy5ct1HVaNmjNnDg4dOoRr167pOpRaFRYWhr/++gvnzp3TdSg6NXHiRBw+fBj379+HQCDQdTg15p133oGbmxu2bNmieqxv374Qi8XYsWOHDiOrWUVFRbCxscEvv/yCHj16qB5v1aoVunfvjq+//lqH0emeampYr4/1b2rYhPWcGrYuKi0tRXh4ODp37qx6TCgUonPnzrh48aIOI6PakJOTA0D5xdpYyGQy7NmzBwUFBWjbtq2uw6lxY8eORY8ePdSOcWNw//59eHp6IjAwEIMGDUJcXJyuQ6pxv/76K1q3bo33338frq6uaNGiBTZt2qTrsGpVaWkpduzYgeHDh9fphgQAtGvXDqdOncK9e/cAANevX8f58+fRvXt3HUdWs6RSKWQyGUQikdrjYrHYKHogX9qT2Zz0aTEQnBq2itLT0yGTyeDm5qb2uJubG+7cuaOjqKg2yOVyTJw4Ee3bt8crr7yi63Bq3M2bN9G2bVsUFxfD2toaP//8Mxo3bqzrsGrUnj17cPXqVaMbS9ymTRts27YNDRs2RFJSEubOnYsOHTrg1q1bsLGx0XV4NSYmJgbr1q3DpEmT8MUXX+Dy5csYP348zM3NERoaquvwasWhQ4eQnZ2NoUOH6jqUGhcWFobc3Fw0atQIJiYmkMlkmD9/PgYNGqTr0GqUjY0N2rZti3nz5iE4OBhubm7YvXs3Ll68iKCgIF2HR3UAGxNEL2ns2LG4deuW0VzJadiwIa5du4acnBzs378foaGhOHPmTJ1tUMTHx2PChAk4ceLEM1fw6rqnr8w2a9YMbdq0gZ+fH/bt21enh7XJ5XK0bt0aCxYsAAC0aNECt27dwvr1642mMbFlyxZ0794dnp6eug6lxu3btw87d+7Erl270KRJE1y7dg0TJ06Ep6dnna/v7du3Y/jw4fDy8oKJiQlatmyJgQMHIjw8XNehUR3AxkQVOTs7w8TEBCkpKWqPp6SkwN3dXUdRUU0bN24cDh8+jLNnz8Lb21vX4dQKc3Nz1VWrVq1a4fLly1ixYgU2bNig48hqRnh4OFJTU9GyZUvVYzKZDGfPnsXq1atRUlICExMTHUZYe+zt7dGgQQNER0frOpQa5eHh8UzjODg4GAcOHNBRRLXr0aNHOHnyJA4ePKjrUGrFlClTEBYWhg8++AAA0LRpUzx69AgLFy6s842JevXq4cyZMygoKEBubi48PDwwYMAABAYG6jo0/aGAfg0t0qNQXoT3TFSRubk5WrVqhVOnTqkek8vlOHXqlFGMJzc2CoUC48aNw88//4w//vgDAQEBug5JZ+RyOUpKSnQdRo3597//jZs3b+LatWuqpXXr1hg0aBCuXbtmNA0JQHkT+oMHD+Dh4aHrUGpU+/btn5nq+d69e/Dz89NRRLVr69atcHV1Vbspty4rLCyEUKj+tcfExARyuVxHEdU+KysreHh4ICsrC8eOHUOvXr10HRLVAeyZ0MKkSZMQGhqK1q1b47XXXsPy5ctRUFCAYcOG6Tq0GpOfn692lTI2NhbXrl2Do6MjfH19dRhZzRo7dix27dqFX375BTY2NkhOTgYA2NnZQSwW6zi6mjN9+nR0794dvr6+yMvLw65du3D69GkcO3ZM16HVGBsbm2fuhbGysoKTk1Odv0dm8uTJ6NmzJ/z8/JCYmIjZs2fDxMQEAwcO1HVoNeqzzz5Du3btsGDBAvTv3x+XLl3Cxo0bsXHjRl2HVuPkcjm2bt2K0NBQmJoax1eBnj17Yv78+fD19UWTJk0QERGBb7/9FsOHD9d1aDXu2LFjUCgUaNiwIaKjozFlyhQ0atSoTn9vodpjHGeQajZgwACkpaVh1qxZSE5ORkhICI4ePfrMTdl1yZUrV9CpUyfV/ydNmgQACA0NxbZt23QUVc1bt24dAODNN99Ue3zr1q11+obF1NRUDBkyBElJSbCzs0OzZs1w7NgxvP3227oOjWrA48ePMXDgQGRkZMDFxQWvv/46/v77b7i4uOg6tBr16quv4ueff8b06dPx1VdfISAgAMuXL6/zN+QCwMmTJxEXF2cUX6SfWLVqFWbOnIkxY8YgNTUVnp6e+O9//4tZs2bpOrQal5OTg+nTp+Px48dwdHRE3759MX/+fJiZmek6NP2hbzMo6VMsL8DfmSAiIiIio6T6nQn30TAVmus6HBWpvBQnkzfydyaIiIiIiKju4jAnIiIiIjJucjkAPboZ34AmBmDPBBERERERaYWNCSIiIiIi0gqHORERERGRceNsTlpjzwQREREREWmFjQkiIiIiItIKGxNERFU0dOhQ9O7dW/X/N998ExMnTqz1OE6fPg2BQIDs7OxKywgEAhw6dOil1zlnzhyEhIT8o7gePnwIgUCAa9eu/aP1EBHVmifDnPRpMRBsTBBRnTB06FAIBAIIBAKYm5sjKCgIX331FaRSaY2/98GDBzFv3ryXKvsyDQAiIiJDwRuwiajO6NatG7Zu3YqSkhIcOXIEY8eOhZmZGaZPn/5M2dLSUpibV8+vnTo6OlbLeoiIiAwNeyaIqM6wsLCAu7s7/Pz88Mknn6Bz58749ddfAZQPTZo/fz48PT3RsGFDAEB8fDz69+8Pe3t7ODo6olevXnj48KFqnTKZDJMmTYK9vT2cnJwwdepUKCp0P1cc5lRSUoJp06bBx8cHFhYWCAoKwpYtW/Dw4UN06tQJAODg4ACBQIChQ4cCAORyORYuXIiAgACIxWI0b94c+/fvV3ufI0eOoEGDBhCLxejUqZNanC9r2rRpaNCgASwtLREYGIiZM2dCIpE8U27Dhg3w8fGBpaUl+vfvj5ycHLXnN2/ejODgYIhEIjRq1Ahr166tcixERHpDrtC/xUCwMUFEdZZYLEZpaanq/6dOncLdu3dx4sQJHD58GBKJBF27doWNjQ3OnTuHv/76C9bW1ujWrZvqdcuWLcO2bdvw/fff4/z588jMzMTPP//83PcdMmQIdu/ejZUrVyIqKgobNmyAtbU1fHx8cODAAQDA3bt3kZSUhBUrVgAAFi5ciB9//BHr16/H7du38dlnn2Hw4ME4c+YMAGWjp0+fPujZsyeuXbuGkSNHIiwsrMrbxMbGBtu2bUNkZCRWrFiBTZs24bvvvlMrEx0djX379uF///sfjh49ioiICIwZM0b1/M6dOzFr1izMnz8fUVFRWLBgAWbOnIkffvihyvEQEZFh4zAnIqpzFAoFTp06hWPHjuHTTz9VPW5lZYXNmzerhjft2LEDcrkcmzdvhkAgAABs3boV9vb2OH36NLp06YLly5dj+vTp6NOnDwBg/fr1OHbsWKXvfe/ePezbtw8nTpxA586dAQCBgYGq558MiXJ1dYW9vT0AZU/GggULcPLkSbRt21b1mvPnz2PDhg3o2LEj1q1bh3r16mHZsmUAgIYNG+LmzZtYvHhxlbbNl19+qfq3v78/Jk+ejD179mDq1Kmqx4uLi/Hjjz/Cy8sLALBq1Sr06NEDy5Ytg7u7O2bPno1ly5aptklAQAAiIyOxYcMGhIaGVikeIiIybGxMEFGdcfjwYVhbW0MikUAul+PDDz/EnDlzVM83bdpU7T6J69evIzo6GjY2NmrrKS4uxoMHD5CTk4OkpCS0adNG9ZypqSlat279zFCnJ65duwYTExN07NjxpeOOjo5GYWEh3n77bbXHS0tL0aJFCwBAVFSUWhwAVA2Pqti7dy9WrlyJBw8eID8/H1KpFLa2tmplfH19VQ2JJ+8jl8tx9+5d2NjY4MGDBxgxYgRGjRqlKiOVSmFnZ1fleIiI9IFCIYdCIdd1GCr6FMuLsDFBRHVGp06dsG7dOpibm8PT0xOmpuqnOCsrK7X/5+fno1WrVti5c+cz63JxcdEqBrFYXOXX5OfnAwB+++03tS/xgPI+kOpy8eJFDBo0CHPnzkXXrl1hZ2eHPXv2qHo7qhLrpk2bnmncmJiYVFusRERkGNiYIKI6w8rKCkFBQS9dvmXLlti7dy9cXV2fuTr/hIeHB/7v//4Pb7zxBgDlFfjw8HC0bNlSY/mmTZtCLpfjzJkzqmFOT3vSMyKTyVSPNW7cGBYWFoiLi6u0RyM4OFh1M/kTf//994uTfMqFCxfg5+eHGTNmqB579OjRM+Xi4uKQmJgIT09P1fsIhUI0bNgQbm5u8PT0RExMDAYNGlSl9yciorqHN2ATkdEaNGgQnJ2d0atXL5w7dw6xsbE4ffo0xo8fj8ePHwMAJkyYgEWLFuHQoUO4c+cOxowZ89zfiPD390doaCiGDx+OQ4cOqda5b98+AICfnx8EAgEOHz6MtLQ05Ofnw8bGBpMnT8Znn32GH374AQ8ePMDVq1exatUq1U3NH3/8Me7fv48pU6bg7t272LVrF7Zt21alfOvXr4+4uDjs2bMHDx48wMqVKzXeTC4SiRAaGorr16/j3LlzGD9+PPr37w93d3cAwNy5c7Fw4UKsXLkS9+7dw82bN7F161Z8++23VYqHiEhvKPRg9qanF/5oHRGR/rO0tMTZs2fh6+uLPn36IDg4GCNGjEBxcbGqp+Lzzz/HRx99hNDQULRt2xY2NjZ47733nrvedevWoV+/fhgzZgwaNWqEUaNGoaCgAADg5eWFuXPnIiwsDG5ubhg3bhwAYN68eZg5cyYWLlyI4OBgdOvWDb/99hsCAgIAKO9jOHDgAA4dOoTmzZtj/fr1WLBgQZXyfffdd/HZZ59h3LhxCAkJwYULFzBz5sxnygUFBaFPnz74z3/+gy5duqBZs2ZqU7+OHDkSmzdvxtatW9G0aVN07NgR27ZtU8VKRETGQ6Co7C5CIiIiIqI6LDc3F3Z2dvi3/RCYCqrnh0yrg1RRilPZPyInJ6fSYbj6gvdMEBEREZFxUygA6NH1dQO61s9hTkREREREpBU2JoiIiIiISCsc5kRERERExk0uBwR69ENxBvSjdeyZICIiIiIirbAxQUREREREWuEwJyIiIiIybpzNSWvsmSAiIiIiIq2wMUFERERERFrhMCciIiIiMmoKuRwKPZrNScHZnIiIiIiIqK5jY4KIiIiIiLTCYU5EREREZNw4m5PW2DNBRERERERaYWOCiIiIiIi0wmFORERERGTc5ApAoEdDizjMiYiIiIiI6jo2JoiIiIiISCsc5kRERERExk2hAKBHPxTHYU5ERERERFTXsTFBRERERERa4TAnIiIiIjJqCrkCCj2azUnBYU5ERERERFTXsTFBRERERERa4TAnIiIiIjJuCjn0azYnPYrlBdgzQUREREREWmFjgoiIiIiItMJhTkRERERk1Dibk/bYM0FERERERFphY4KIiIiIiLTCxgQRERERGTeFXP8WLaxZswb+/v4QiURo06YNLl269NzyP/30Exo1agSRSISmTZviyJEjVX5PNiaIiIiIiAzc3r17MWnSJMyePRtXr15F8+bN0bVrV6Smpmosf+HCBQwcOBAjRoxAREQEevfujd69e+PWrVtVel+BwpDu8CAiIiIiqia5ubmws7PDm+gFU4GZrsNRkSokOI1fkJOTA1tb25d6TZs2bfDqq69i9erVAAC5XA4fHx98+umnCAsLe6b8gAEDUFBQgMOHD6se+9e//oWQkBCsX7/+pWPlbE5EREREZNSkkAB6dHldCgkAZWPnaRYWFrCwsHimfGlpKcLDwzF9+nTVY0KhEJ07d8bFixc1vsfFixcxadIktce6du2KQ4cOVSlWNiaIiIiIyCiZm5vD3d0d55Orfq9ATbO2toaPj4/aY7Nnz8acOXOeKZueng6ZTAY3Nze1x93c3HDnzh2N609OTtZYPjk5uUpxsjFBREREREZJJBIhNjYWpaWlug7lGQqFAgKBQO0xTb0SusbGBBEREREZLZFIBJFIpOsw/hFnZ2eYmJggJSVF7fGUlBS4u7trfI27u3uVyleGszkRERERERkwc3NztGrVCqdOnVI9JpfLcerUKbRt21bja9q2batWHgBOnDhRafnKsGeCiIiIiMjATZo0CaGhoWjdujVee+01LF++HAUFBRg2bBgAYMiQIfDy8sLChQsBABMmTEDHjh2xbNky9OjRA3v27MGVK1ewcePGKr0vGxNERERERAZuwIABSEtLw6xZs5CcnIyQkBAcPXpUdZN1XFwchMLyQUnt2rXDrl278OWXX+KLL75A/fr1cejQIbzyyitVel/+zgQREREREWmF90wQEREREZFW2JggIiIiIiKtsDFBRERERERaYWOCiIiIiIi0wsYEERERERFphY0JIiIiIiLSChsTRERERESkFTYmiIiIiIhIK2xMEBERERGRVtiYICIiIiIirbAxQUREREREWvl/lATjqmDhim4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay\n",
    "cm = confusion_matrix(y_all, pred_y_all, normalize='true')\n",
    "cmd = ConfusionMatrixDisplay(cm)\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "cmd.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-2.0, 2.0)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.scatter(z_all[:, 0], z_all[:, 1], c=y_all, cmap='tab10')\n",
    "plt.colorbar()\n",
    "plt.xlabel(\"cvae 1\")\n",
    "plt.ylabel(\"cvae 2\")\n",
    "A = model.fuzzy[0].get_transformation_matrix().detach().cpu().numpy()\n",
    "\n",
    "theta = np.linspace(0, 2*np.pi, 20)\n",
    "a, b = 1 * np.cos(theta), 1 * np.sin(theta)\n",
    "\n",
    "for i in range(A.shape[0]):\n",
    "    h = A[i]\n",
    "    t = [np.matmul(h, [x[0], x[1], 1]) for x in zip(a,b)]\n",
    "    t = np.array(t)\n",
    "    plt.plot(t[:, 0], t[:, 1])\n",
    "plt.xlim(-2, 2)\n",
    "plt.ylim(-2, 2)\n",
    "# plt.show()\n",
    "#plt.savefig('habr/mnist_2d_scatter_origin_labels_cvae.webp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, axis = plt.subplots(1, 2, figsize=(12, 5)) \n",
    "sc1 =axis[0].scatter(z_all[:, 0], z_all[:, 1], c=y_all, cmap='tab10', s=8)\n",
    "axis[0].set_title(\"Истинные метки\")\n",
    "axis[0].set_xlabel(\"cvae 1\")\n",
    "axis[0].set_ylabel(\"cvae 2\")\n",
    "\n",
    "sc2 = axis[1].scatter(z_all[:, 0], z_all[:, 1], c=pred_y_all, cmap='tab10', s=8)\n",
    "axis[1].set_title(\"Предсказанные метки цифр\") \n",
    "axis[1].set_xlabel(\"cvae 1\")\n",
    "axis[1].set_ylabel(\"cvae 2\")\n",
    "# sc3 = axis[2].scatter(z_all[:, 0], z_all[:, 1], c=pred_circ_all, cmap='spring')\n",
    "# axis[2].set_title(\"Предсказанные метки очертаний\") \n",
    "# axis[2].set_xlabel(\"cvae 1\")\n",
    "# axis[2].set_ylabel(\"cvae 2\")\n",
    "figure.colorbar(sc1)\n",
    "figure.colorbar(sc2)\n",
    "#figure.colorbar(sc3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.scatter(z_all[:, 0], z_all[:, 1], c=pred_y_all, cmap='tab10')\n",
    "plt.colorbar()\n",
    "# plt.show()\n",
    "plt.savefig('mnist_2d_scatter_fuzzy_pred_labels.webp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 10))\n",
    "plt.scatter(z_all[:, 0], z_all[:, 1], c=pred_circ_all, cmap='Set2')\n",
    "plt.colorbar()\n",
    "# plt.show()\n",
    "plt.savefig('mnist_2d_scatter_fuzzy_pred_circles.webp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x100 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 10\n",
    "z2 = torch.linspace(-1, -0.5, n)\n",
    "z1 = torch.zeros_like(z2) + 1\n",
    "\n",
    "z = torch.stack([z1, z2], dim=-1).to(device)\n",
    "samples = model.decoder_pass(z)\n",
    "samples = torch.sigmoid(samples)\n",
    "\n",
    "# Plot the generated images\n",
    "fig, ax = plt.subplots(1, n, figsize=(n, 1))\n",
    "for i in range(n):\n",
    "    ax[i].imshow(samples[i].view(28, 28).cpu().detach().numpy(), cmap='gray')\n",
    "    ax[i].axis('off')\n",
    "    \n",
    "plt.savefig('cvae_mnist_interp.webp')"
   ]
  }
 ],
 "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": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}