[404218]: / Code / PennyLane / Time Cost Efficiency / TL 44 Class TPU kkawchak.ipynb

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{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "U8_09H0pzhFZ"
      },
      "outputs": [],
      "source": [
        "# For tips on running notebooks in Google Colab, see\n",
        "# https://pytorch.org/tutorials/beginner/colab\n",
        "%matplotlib inline\n",
        "\n",
        "# from google.colab import drive\n",
        "# drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "82ypZxUgzhFd",
        "outputId": "3ab98201-4571-420b-d90a-798f962a350d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<contextlib.ExitStack at 0x7c6bdddf3850>"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "# License: BSD\n",
        "# Author: Sasank Chilamkurthy\n",
        "\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "from torch.optim import lr_scheduler\n",
        "import torch.backends.cudnn as cudnn\n",
        "import numpy as np\n",
        "import torchvision\n",
        "from torchvision import datasets, models, transforms\n",
        "import matplotlib.pyplot as plt\n",
        "import time\n",
        "import os\n",
        "from PIL import Image\n",
        "from tempfile import TemporaryDirectory\n",
        "\n",
        "cudnn.benchmark = True\n",
        "plt.ion()   # interactive mode"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ko98w4r7zhFe"
      },
      "source": [
        "## Load Data\n",
        "\n",
        "We will use torchvision and torch.utils.data packages for loading the\n",
        "data.\n",
        "\n",
        "The problem we're going to solve today is to train a model to classify\n",
        "**ants** and **bees**. We have about 120 training images each for ants and bees.\n",
        "There are 75 validation images for each class. Usually, this is a very\n",
        "small dataset to generalize upon, if trained from scratch. Since we\n",
        "are using transfer learning, we should be able to generalize reasonably\n",
        "well.\n",
        "\n",
        "This dataset is a very small subset of imagenet.\n",
        "\n",
        ".. Note ::\n",
        "   Download the data from\n",
        "   [here](https://download.pytorch.org/tutorial/hymenoptera_data.zip)\n",
        "   and extract it to the current directory.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "LWDOibNFzhFe"
      },
      "outputs": [],
      "source": [
        "# Data augmentation and normalization for training\n",
        "# Just normalization for validation\n",
        "data_transforms = {\n",
        "    'train': transforms.Compose([\n",
        "        transforms.RandomResizedCrop(224),\n",
        "        transforms.RandomHorizontalFlip(),\n",
        "        transforms.ToTensor(),\n",
        "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
        "    ]),\n",
        "    'val': transforms.Compose([\n",
        "        transforms.Resize(256),\n",
        "        transforms.CenterCrop(224),\n",
        "        transforms.ToTensor(),\n",
        "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
        "    ]),\n",
        "}\n",
        "\n",
        "data_dir = '/content/drive/MyDrive/Colab Notebooks/data/44 Class 4478 Brain Tumor Images Split 0.627 Shuffle Rename'\n",
        "image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x),\n",
        "                                          data_transforms[x])\n",
        "                  for x in ['train', 'val']}\n",
        "dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=17,\n",
        "                                             shuffle=True, num_workers=4)\n",
        "              for x in ['train', 'val']}\n",
        "dataset_sizes = {x: len(image_datasets[x]) for x in ['train', 'val']}\n",
        "class_names = image_datasets['train'].classes\n",
        "\n",
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "162cgfnXzhFf"
      },
      "source": [
        "### Visualize a few images\n",
        "Let's visualize a few training images so as to understand the data\n",
        "augmentations.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 174
        },
        "id": "uGGqqCoEzhFf",
        "outputId": "3ea74121-d844-4cc4-ae84-3205acfe004e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "def imshow(inp, title=None):\n",
        "    \"\"\"Display image for Tensor.\"\"\"\n",
        "    inp = inp.numpy().transpose((1, 2, 0))\n",
        "    mean = np.array([0.485, 0.456, 0.406])\n",
        "    std = np.array([0.229, 0.224, 0.225])\n",
        "    inp = std * inp + mean\n",
        "    inp = np.clip(inp, 0, 1)\n",
        "    plt.imshow(inp)\n",
        "    if title is not None:\n",
        "        plt.title(title)\n",
        "    plt.pause(0.001)  # pause a bit so that plots are updated\n",
        "\n",
        "\n",
        "# Get a batch of training data\n",
        "inputs, classes = next(iter(dataloaders['train']))\n",
        "\n",
        "# Make a grid from batch\n",
        "out = torchvision.utils.make_grid(inputs)\n",
        "\n",
        "imshow(out, title=[class_names[x] for x in classes])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EtqiyYuNzhFf"
      },
      "source": [
        "## Training the model\n",
        "\n",
        "Now, let's write a general function to train a model. Here, we will\n",
        "illustrate:\n",
        "\n",
        "-  Scheduling the learning rate\n",
        "-  Saving the best model\n",
        "\n",
        "In the following, parameter ``scheduler`` is an LR scheduler object from\n",
        "``torch.optim.lr_scheduler``.\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "9ORJI2wpzhFg"
      },
      "outputs": [],
      "source": [
        "def train_model(model, criterion, optimizer, scheduler, num_epochs=10):\n",
        "    since = time.time()\n",
        "\n",
        "    # Create a temporary directory to save training checkpoints\n",
        "    with TemporaryDirectory() as tempdir:\n",
        "        best_model_params_path = os.path.join(tempdir, 'best_model_params.pt')\n",
        "\n",
        "        torch.save(model.state_dict(), best_model_params_path)\n",
        "        best_acc = 0.0\n",
        "\n",
        "        for epoch in range(num_epochs):\n",
        "            print(f'Epoch {epoch}/{num_epochs - 1}')\n",
        "            print('-' * 10)\n",
        "\n",
        "            # Each epoch has a training and validation phase\n",
        "            for phase in ['train', 'val']:\n",
        "                if phase == 'train':\n",
        "                    model.train()  # Set model to training mode\n",
        "                else:\n",
        "                    model.eval()   # Set model to evaluate mode\n",
        "\n",
        "                running_loss = 0.0\n",
        "                running_corrects = 0\n",
        "\n",
        "                # Iterate over data.\n",
        "                for inputs, labels in dataloaders[phase]:\n",
        "                    inputs = inputs.to(device)\n",
        "                    labels = labels.to(device)\n",
        "\n",
        "                    # zero the parameter gradients\n",
        "                    optimizer.zero_grad()\n",
        "\n",
        "                    # forward\n",
        "                    # track history if only in train\n",
        "                    with torch.set_grad_enabled(phase == 'train'):\n",
        "                        outputs = model(inputs)\n",
        "                        _, preds = torch.max(outputs, 1)\n",
        "                        loss = criterion(outputs, labels)\n",
        "\n",
        "                        # backward + optimize only if in training phase\n",
        "                        if phase == 'train':\n",
        "                            loss.backward()\n",
        "                            optimizer.step()\n",
        "\n",
        "                    # statistics\n",
        "                    running_loss += loss.item() * inputs.size(0)\n",
        "                    running_corrects += torch.sum(preds == labels.data)\n",
        "                if phase == 'train':\n",
        "                    scheduler.step()\n",
        "\n",
        "                epoch_loss = running_loss / dataset_sizes[phase]\n",
        "                epoch_acc = running_corrects.double() / dataset_sizes[phase]\n",
        "\n",
        "                print(f'{phase} Loss: {epoch_loss:.4f} Acc: {epoch_acc:.4f}')\n",
        "\n",
        "                # deep copy the model\n",
        "                if phase == 'val' and epoch_acc > best_acc:\n",
        "                    best_acc = epoch_acc\n",
        "                    torch.save(model.state_dict(), best_model_params_path)\n",
        "\n",
        "            print()\n",
        "\n",
        "        time_elapsed = time.time() - since\n",
        "        print(f'Training complete in {time_elapsed // 60:.0f}m {time_elapsed % 60:.0f}s')\n",
        "        print(f'Best val Acc: {best_acc:4f}')\n",
        "\n",
        "        # load best model weights\n",
        "        model.load_state_dict(torch.load(best_model_params_path))\n",
        "    return model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6YCmfkSizhFg"
      },
      "source": [
        "### Visualizing the model predictions\n",
        "\n",
        "Generic function to display predictions for a few images\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "id": "JtYakW-kzhFg"
      },
      "outputs": [],
      "source": [
        "def visualize_model(model, num_images=6):\n",
        "    was_training = model.training\n",
        "    model.eval()\n",
        "    images_so_far = 0\n",
        "    fig = plt.figure()\n",
        "\n",
        "    with torch.no_grad():\n",
        "        for i, (inputs, labels) in enumerate(dataloaders['val']):\n",
        "            inputs = inputs.to(device)\n",
        "            labels = labels.to(device)\n",
        "\n",
        "            outputs = model(inputs)\n",
        "            _, preds = torch.max(outputs, 1)\n",
        "\n",
        "            for j in range(inputs.size()[0]):\n",
        "                images_so_far += 1\n",
        "                ax = plt.subplot(num_images//2, 2, images_so_far)\n",
        "                ax.axis('off')\n",
        "                ax.set_title(f'predicted: {class_names[preds[j]]}')\n",
        "                imshow(inputs.cpu().data[j])\n",
        "\n",
        "                if images_so_far == num_images:\n",
        "                    model.train(mode=was_training)\n",
        "                    return\n",
        "        model.train(mode=was_training)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b9bKXGG7zhFh"
      },
      "source": [
        "## Finetuning the ConvNet\n",
        "\n",
        "Load a pretrained model and reset final fully connected layer.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "QqkwG_MmzhFh",
        "outputId": "1129c2e5-2b6b-4e43-c448-b1135b65e854"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading: \"https://download.pytorch.org/models/resnet50-0676ba61.pth\" to /root/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth\n",
            "100%|██████████| 97.8M/97.8M [00:00<00:00, 240MB/s]\n"
          ]
        }
      ],
      "source": [
        "model_ft = models.resnet50(weights='IMAGENET1K_V1')\n",
        "num_ftrs = model_ft.fc.in_features\n",
        "# Here the size of each output sample is set to 2.\n",
        "# Alternatively, it can be generalized to ``nn.Linear(num_ftrs, len(class_names))``.\n",
        "model_ft.fc = nn.Linear(num_ftrs, 44)\n",
        "\n",
        "model_ft = model_ft.to(device)\n",
        "\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "\n",
        "# Observe that all parameters are being optimized\n",
        "optimizer_ft = optim.SGD(model_ft.parameters(), lr=0.001, momentum=0.9)\n",
        "\n",
        "# Decay LR by a factor of 0.1 every 7 epochs\n",
        "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_ft, step_size=7, gamma=0.1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IJBze7TnzhFh"
      },
      "source": [
        "### Train and evaluate\n",
        "\n",
        "It should take around 15-25 min on CPU. On GPU though, it takes less than a\n",
        "minute.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "ycl4sxdzzhFh",
        "outputId": "7a1d1e6a-4918-4a3c-8a67-11d26ba84bc1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 0/9\n",
            "----------\n",
            "train Loss: 2.9509 Acc: 0.2319\n",
            "val Loss: 1.9926 Acc: 0.4716\n",
            "\n",
            "Epoch 1/9\n",
            "----------\n",
            "train Loss: 1.9415 Acc: 0.4784\n",
            "val Loss: 1.4171 Acc: 0.6164\n",
            "\n",
            "Epoch 2/9\n",
            "----------\n",
            "train Loss: 1.5331 Acc: 0.5778\n",
            "val Loss: 1.1493 Acc: 0.6655\n",
            "\n",
            "Epoch 3/9\n",
            "----------\n",
            "train Loss: 1.2846 Acc: 0.6270\n",
            "val Loss: 0.9331 Acc: 0.7337\n",
            "\n",
            "Epoch 4/9\n",
            "----------\n",
            "train Loss: 1.0880 Acc: 0.6915\n",
            "val Loss: 0.8110 Acc: 0.7618\n",
            "\n",
            "Epoch 5/9\n",
            "----------\n",
            "train Loss: 0.9607 Acc: 0.7232\n",
            "val Loss: 0.7560 Acc: 0.7834\n",
            "\n",
            "Epoch 6/9\n",
            "----------\n",
            "train Loss: 0.8369 Acc: 0.7706\n",
            "val Loss: 0.5966 Acc: 0.8235\n",
            "\n",
            "Epoch 7/9\n",
            "----------\n",
            "train Loss: 0.6699 Acc: 0.8240\n",
            "val Loss: 0.5382 Acc: 0.8402\n",
            "\n",
            "Epoch 8/9\n",
            "----------\n",
            "train Loss: 0.6089 Acc: 0.8400\n",
            "val Loss: 0.5152 Acc: 0.8474\n",
            "\n",
            "Epoch 9/9\n",
            "----------\n",
            "train Loss: 0.6044 Acc: 0.8379\n",
            "val Loss: 0.5233 Acc: 0.8420\n",
            "\n",
            "Training complete in 33m 3s\n",
            "Best val Acc: 0.847397\n"
          ]
        }
      ],
      "source": [
        "model_ft = train_model(model_ft, criterion, optimizer_ft, exp_lr_scheduler,\n",
        "                       num_epochs=10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 923
        },
        "id": "c80qeSpIzhFi",
        "outputId": "a194364f-e40f-4844-8288-3361759bb609"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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aAfYGl8uFk046CXfeeSf27Nkj27ds2YK77rrLtO+pp54KAIsqrZ///OcBzOeiAOCkk06Cx+PBjTfeaLqv1vcB806A++67Dz/+8Y8XvZbP59Fut/f7WoD5B+JlL3sZbrnlFhQKBdn+k5/8RGwqz+YY+vfgsccew9133y334dncu/3BK1/5SgwNDeHLX/6yyR5011134cknn5T7+3zA5XItUsnf/e53F9lmXiwcd9xxWL9+Pb761a/27JpqNpu4/PLLX/DzeE6Kb+vWrTjzzDOxfv163HffffjmN7+Jd7zjHTj66KOf8b1/93d/h5/97Gd49atfjXe/+91Yu3YtstksHnzwQdxzzz3IZrMAgHe/+9246aabcMEFF+CBBx5AOp3GN77xDQSDwWf8jBNPPBHvfOc78aUvfQmbN2/G+vXr0e128Ytf/AInnngiLr30UgDAK17xCtxzzz34/Oc/j2XLluGggw7Cq1/96hfkHPfXzgIA5513Hn7729/ihhtuwBNPPIHzzjsPiUQCDz74IL72ta8hlUrh9ttvf9bG7SuvvBJ33303TjjhBLzvfe9Dp9PBTTfdhCOOOMJkOD366KNx4YUX4uabb0Y+n8e6devwm9/8BrfccgvOOussnHjiiQDm1fHll1+Oa6+9FqeffjpOPfVUPPTQQ7jrrrsWqYm/+qu/wve+9z2cfvrp2LBhA17xilegUqmIH3Hbtm3PWoFce+21OO200/Cnf/qneNe73oVsNosbb7wRhx9+OMrl8n4d47rrrsMpp5yC4447DhdffLHYWWKxmOnntL/3bn/g8Xjwmc98BhdddBHWrVuHP//zPxc7y8TEBD760Y8+q+PtC6effjo+9alP4aKLLsLxxx+PRx99FLfeeqtJoT8fKBQKIoB++ctfAgBuuukmxONxxONxeeaA+YjljW98I84++2ycccYZeMMb3oBQKITNmzfjtttuw+Tk5Avv5Xs2JWDaWZ544gnj3HPPNSKRiJFIJIxLL73UVJY35v/EGB/4wAd6Hmd6etr4wAc+YIyNjRkej8cYGRkx3vCGNxg333yzab/t27cbZ555phEMBo2BgQHjwx/+sPGjH/3oGe0shmEY7XbbuO6664zDDjvM8Hq9xuDgoHHKKacYDzzwgOyzceNG47Wvfa0RCAQW2S+e73PcXzuLxp133mmcfPLJRiKRMHw+n7F69WrjsssuM2ZnZxftuz92FsMwjJ/+9KfGMcccY3i9XmPVqlXGV7/6VeOyyy4z/H6/ab9Wq2VcddVVxkEHHWR4PB5jbGzM+PjHP27U63XTfp1Ox7jqqquMdDptBAIB43Wve53x2GOPLbJ0GIZhlEol4+Mf/7ixevVqw+v1GgMDA8bxxx9vXH/99Uaz2TQMY8F6ct111y26xl7Xc8cddxhr1qwxfD6fsXbtWuPf//3fF92LfR3TMAzjnnvuMU444QQjEAgY0WjUOOOMM4wnnnhi0X77e++eyc5C/Nu//ZtxzDHHGD6fz0gmk8Z5551n7Nq1y7TPhRdeaIRCoUXnsm7dOuPwww9ftH18fNw47bTT5Pt6vW5cdtll8vM54YQTjPvuu89Yt26dsW7dup73oxeeyc7Ce9zry/p7aRiGUa1Wjeuvv9449thjjXA4bHi9XuPggw82PvjBDxpbtmzZ57k8H3YWh2Hsf7b4yiuvxFVXXYXZ2dmXJD9g44XBWWedhccff7xnvszGvmHfu/7EAT2d5UBErVYzfb9582b88Ic/lCkbNvYO+9798cAe3XGAYeXKldiwYQNWrlyJ7du34x//8R/h9Xr3ajOxsQD73v3xwCa+Awzr16/Ht7/9bUxNTcHn8+G4447DNddc09MIbMMM+9798eBZ5fhs2LBh448Bdo7Phg0bBxxs4rNhw8YBB5v4bNiwccDBLm70AYLBIBwOhzSVsy/Y4XAs6hNmypZTpfV2p9Mp+/Nfp9NpOl4ymZRJID6fD6FQCF6vF4VCAZOTk2i324hEIggGg5idncXc3ByGh4fhdDpRrVbRaDTgcDjQarUwOjqKYDCI7du3o91uIxqNYmBgANVqFbt27YLH48GKFSsQj8fhdDrh8XiQyWQQCATgdDoxPT0NwzAQCoUQCoUQDoelW6XZbKJQKGDXrl3w+XyyIJPf70ez2YTL5UIwGESr1cLs7CympqZQLpfRarVk7DzvxzM161vv/d7S4vp+VyqV/f8B23jRYRc3+gDWFjj98JHArA8kSY37APNrP3S7XdMqWdw3EAjIOCmXywWfzwefz4dqtYrp6WnU63V4vV6Ew2EEAgHk83nk83khJp/Ph0qlgkKhgG63i3a7DbfbjUgkApfLBZfLBafTiVarJf3KgUAAbrcbiUQCgUAAtVoNjUYDhmGg3W7L/q1WC36/H9FoFNFoVPpP6/U6isUiWq0Wut2uECAAuN1uBINBWe+iXC5jZmYG09PTqNVqMiG62+32JDX9B0S/xi/9Wq+fjU18Sxs28fUBSHyarPQDyNf4by/VpwmPKs8wDHg8HgwNDWF4eBher1dI0Ol0Yvfu3SgUCnC5XAiFQnA4HKjX6yiXy6jVaohEIgiHwygWi8jlcnA4HPD7/aJQO50OOp2OfGatVkOlUkG320UsFkM4HEY+n0er1QIAOS+3241GowGn04l2u41WqwWv1ysqzufziXIjuYZCIVSrVVQqFTidTsRiMVGSLpcL7XYbwWAQxWIRO3fuRKFQQKPRQKfTQbfbNSli673V91Vv1390rLCJb2nDJr4+gFZ8VvKzgg8vXyfp8KHVpOf3+7Fs2TKk02kJ56LRKOr1Onbs2IF6vY7R0VFkMhnUajV0Oh3U63VUq1V4PB5EIhEJGb1eLwKBAEKhkCiwYDAIwzCEAJvNJhqNBhqNBiYmJnDIIYfgkUcewc6dO9HpdOQcOTW43W6j2WwKefJYvAfxeBxerxftdlua4RuNBnK5HIrFIrxeL4aHhzEwMIBisYhut4tEIoFms4ldu3ZhcnIStVpN7heV396Iz4q9PTqGYaBarT6Hn7SNFwt2jq8P0EvFWdUGFR3DWf1el8slxOJ0OuF0OuHz+TA6OopkMolgMChKaWpqShYs55j1XC4nCsbhcCASiWBgYAAulwulUgmJRALRaBSVSgWGYaDZbEp+kEqv3W7Le0iogUBAlGE4HBalx/DW4/HINXHoJsmzVqshl8vJFF+Gz9FoFOl0GslkEjMzM9i2bRuazSZGRkZQqVQwOzuLWCyGQw89FMFgENu2bRPy07k8a5pA32frz2F/SNLG0oKt+PoAoVBo0TZNfJoYrYpPb2NoGwwGkU6nkUgkEA6HEYvFsGfPHuzevRsOhwMDAwNoNBpot9uYm5tDPp+H2+2G3++X/YPBIJrNJur1OtxuNzwej4Sn/ByPxwO/3w+Hw4FmsynqrNlsCgk++uijqNVqGB4eRiwWQ6lUwszMDMrlshQ8eH1er1eO2+12ZSS8w+GAx+NBIBCAz+eD3+9HLBaDz+dDJpPB3NwcgsEgBgcH4XQ60Wg0MDg4KMs2Pv300yiXy1Lo0H84eN94n/kHRr/eC3aou7RhK74+gbV6q8NdTX58MHWuSqsWhrfhcFhUVKfTQTabhWEYMn05l8shl8uhWq3C5XIhEokgFovB7/ej3W5jdnYWDocDoVAILpdLcm46j0i15/V64fP55NzC4bB8ZrVaRTQaFcUXiUQk59doNKQw0mg0ZB2ScDiMRCKBWCyGWq2Ger2ORqMhxQ6n04lSqYSxsTGk02lEo1HMzs5i165dGBoaQiqVQrlcRrPZxOjoKLrdLrZu3bpohp+V1HQobN2n18/GxtKFTXx9AGvOjrDm+rRVpVeBw+fzYdmyZRJiGoaBQqGALVu2oFgsIplMYm5uDoVCAYVCAe12Gx6PB6FQCJFIRBZhb7VacDgcCAaDcLlcopI4Rdnj8aDT6cDj8UiFNhQKyf+DwaAUSVig8Pl88Hg8Qn7dblfIiYTd7XbR6XRQLBZRqVSQTCbhcrlExXY6HQnLOZV52bJlSKVScDgcmJ6extzcHFwuF0ZGRlAsFpHJZDAwMIB6vY6dO3dKuN7r/vN+7q2oxH3tIGrpwya+PkOvKi2rkr08ZixmOJ1OjI2NYXh4WLYXi0VMTk5KGNpoNCTMNAwDsVgMyWQSPp8P9XodpVJJSIo5MObjeD4sdrjdbjmXTqcjCrDVakmhodVqwTAMUYu0t5AggflRUK1WS8JpEm25XEYmkxFydblcCIfDSKVScDqdKJfLyOfzpkrzmjVrMDMzg5mZGXQ6HYyPj6NYLKJcLmNgYACVSkXyfboY1Gt8O38W+g/M3n4GNpYe7M6NPoI1vOX/n8lQy7zdwMAAotGo+PN2794t4SStKrVaDT6fDwMDA1i+fDl8Ph+KxaLYTtxut5BYp9NBtVpFvV4XouKxWLQgsVElUrVxxTOn04lmsykFEKfTiUQiIRXbaDSKQCCAbrcLr9cLr9crCrRer6Pb7YqpmeHu4OAg4vE4DMNAo9HA5OQkZmdnpfI8NDSESqWCp556SpRsp9PBsmXLEIvFxFKjr2VfPwv+S+VrE9/Sh634+gh78+f1CoF17i8ajWJ0dBRutxsOhwOlUgk7d+5EvV6XIkWr1RJP2+joKJYtW4ZWq4WpqSlUq9VFZEuFx7yeLkJYOyH0/iSqaDQqoS2LH81mE263G4FAAKlUCu12W4iZoTP3DYfDaLVaQpSBQECKHkNDQ1i+fDm2b9+OQqEg5Mz1aScmJrBx40ZMTU3h6aefxujoKLLZLGKxGEZHR1EqlRZ1duhq+f6kG2wsbdjE1yfoZZ3QhQTrPtzu8XgwNjaGWCyGQCCAcrmMbdu2SThLMmK4OTAwgLVr16LT6WDz5s2i8gCYwlsA0iLGIkmj0RBic7vdcLvdplXirD65UChkqsqS6ABIF0ahUBCF2Ww2TcQyMDAAp9OJgYEBKbp4PB7xHC5fvhy1Wk1M2JOTkxIWO51OpFIp5PN5ZLNZBINBVKtVDA8PY2pqCrOzs0J2upK7t66NfXVz2Fh6sImvD7C3imGvTgLuwzBtZGQEqVRKqqpPPfUUarUaxsbGpPrJMJTdDpVKBblcTjobmFvjZzOEpV2FFhUWInw+n8kUTOXUbrdle7ValYIGlRuwYL1pNptCToVCAW63Wzx8zOsFg0EEAgE5N1aXW60WKpUKKpUKotGodIwwh1etVuH3+6WtbWZmBoceeihqtRrcbjfS6TRyudx+9fDq+26jf2ATXx/AGrpalV2v/Vl15SLvjUYD09PTKBQKGBgYwPr165HL5fCTn/xELCZerxfFYhEbN240WVKsSXsqIYaB2spCArOG4MzfAfNEUalUpGBB4mOujb5BevNisRjcbjfq9bqQG8+D7+t2u1KEYAFmz5498Pl8SCaTUhCp1+soFAool8vwer1wu91ot9vI5XJij0mn09i9ezcymcyiEFbfh14K3A51+wN2caMPYFV1vcJdq3cPAMbHx5FIJIRcpqam4Pf7kUwmEQgEUCqVJM/HnBkAU4JeEwsVkM51NZtNUyWXRQ+qM54bFSHtJyyG0LrCAkmz2USpVBLLip60EovFEI1GEQwGpXdXE5LH44HX6xVibrfbmJycRKVSQTqdln5j5jTr9TqA+YJMJpORFjuXy4WDDjpIKsw6p6rJvRfJ8TUbSxu24usDWG0TABapML7GkC8SiWBsbAzdbhdutxvlchmNRgPJZBLtdhv//d//jaeeekr6V0l2DGuBBWVHRcbtfI1tZbSYAIuVnsPhEDLS21iI8Pl8iMfjkpfjoASGs9ovyM4Nn88nXSMAxORMSw4J1OPxYGRkRNrnxsbGxKvHiTK8l1SB8XgcpVIJqVQKy5Ytw/bt2+WcexU3rH9sdOeMjaULm/j6APvqFKDXzBoKp9NpIRe3241isSjv63a72LZtG+bm5pBIJMQGQhsHAJN/TYepJFsqO022Ho9HLCY8JxYSNOlxO/1/LIAwp0jy0zP+qEqZV+S/VjLS1plUKiX9wq1WC+Fw2ER+DKXdbjdarRay2az4+ZrNJg466CBks1npBtHKupe1CICpEGJj6cLW5X0Aq42lV4VXj3SKRqPSegbMP4xsPfP5fKjVasjn8/D7/YhEIjKbTj+wDF2B+QorrS7agsKpK4Tb7RbS4nb2zlp7iPW4KhInX6ei4/eNRgOVSgXlclnM0C6XS86fSrDVapk6PTgwlfs3m02EQiEMDQ3B4/GgWq1KS53H4xGvYiwWE8tMr5DXGvbuq9PDxtKETXx9gl4hFbC4suhyubBixQohOP5bq9UQCoXgdruRyWTQarUwPDyMVCqFaDQq7wUg5Mbj6xwfVRLDV+3/o8mYpuNQKIRoNCrH6na7Uq2lEux2uzJkdHBwENFoFKFQSHKTVFCdTkfCURYyeAwSsfbccWIz1Vy73ZZeXvb6ttttFAoFdDodhEIhlMtlVKtVeL1eaYEbGxvD4ODgosKGLuJoQrTVXn/ADnX7BNYwyxryUjmFw2EsX75cHmC32418Pi8tYaVSCZVKBYODg1ixYgWGhobQ6XTw5JNPiqeOXQu0rVC90ZtHwgqHw6apJiROn8+HSCQiSo8z9bgPw2+2rFEl6u4HnWck9Fw+XruuJuvcYCQSgcfjQTablTwlDdIcg1Uul5HNZiXPWCwWkc1mkUgkEIlEkMvlMDg4iLGxMeTzefEYapP23qrqNpY2bMXXB9ChFWAelWT9fmxsDF6vVzoVWq0WMpmMDAutVCpSJW02m9izZ490cbhcLiE9YD7EZNWW46C4XgXDyZGRERl6oNUXVSPJioTHwgM9fZq4Acj7df8vx2EFg0GTugMWRsczbxiNRpFKpWQElibUQCAgFW2v14t4PC52lzVr1sgMP/YuezweNJtNTExMIJVK9TQpa5Vnh7j9A5v4+gRW/5jexgcvkUhg+fLlMsvO5XJJPo9jqKrVqhBRPp/Hxo0bsWPHDtNIqVqtZjI263CTKpADRVutllRUtRrlQFGdj2y1WmJxIcl2Oh0hOY/HY7KKkBypAHWXiD4uFameAaiLK6w+czYgFSvDa34+J7YUCgUYxvyQhnK5DL/fj4mJCTGB8/ys6Qe93cbShk18fYBeuSNrgt3n82HlypWi8pjULxaLssIZOxdYCGB3gp640mq1UK1WxcJCYtEhqB5fz9FRDIFZmeVaGSROhol6BiC/Zw+uVm66W6Rer0uoyapxL/uNHqDQ7XZlVh+JVudFqUoTiQTm5uawfft2IeJMJiMdKz6fD+VyGYODgzKRupe3T/9rY+nDJr4+gVYSViuL2+2WnB3HvjPULJVKsmIam+/9fr/JvqILDXqBIH5vLXD0snVQNbXbbbG/kPBYAOG5s9gCQBY2YgECgClkJunyuLVaTeb4UWkyjCbB8VxLpZJMhQYgKpP/r9Vqsj/HczEnynMOh8MolUrwer1YtmwZIpFIz2o6fx52gaM/YBNfH4DhnjWnR4Jwu91YsWKFkEo4HJYe2kqlglgshk6ng1qtJvk4ra7cbreQi7aLAJBtAKSSywecFVSHY6GDg++xEjVHT7HIQCIj0Wo1qVvSdEWYX51Ox5QztFZcO52OqFheHyu1XAEOgExt4eprtVoNqVRKZvTxHnPpzFQqhZGRkZ5DIfT3NpY+bOLrA/SyS+iHLhaLYWhoCNVqVRRcKBRCpVJBo9GQaq5hGAiHw0JsDOWorvhAszLKUFXn+bQHj6FmMBg0+ftIanwPc3faBNzpdGTRIGChYszX+X0gEMDY2JgQOaHVKWBeV4RqkKPyw+Ew4vG4eP54LlzLxO/3o9PpYGZmBrFYDC6XC9lsVgg8EAig0WiYxvbzj1GvXJ9Nfksftp2lT2ANLXX1dPny5TKOKRgMimJigaLdbqNYLIqBWdtIqOysKpJqjq9ZK5cMYfXUFh0KU4l5vV5Z/KdUKpmOw0krJFpdHCGpNJtNlMtlWVvX5/OJ/cXaJaG9dWyH0+E8iYxFCq/XKxNZotEoMpmMFFCy2awMYnU6nQiHw6jX6xgaGsLIyIis/6E/v1cboY2lCVvx9QmsPbn8NxKJYHR0VNQZQ0AuzlOtVjE9PY16vS5Tj4GFnlpWVXl8FhoYLvJB5v95LixWMOemq7MAJJylgmO/LVUbFZsO4xmW8rz4WjabhcMxv7BRIBCQcB2AhMmapPWIK46topevXq9L+Mpj0Zbj8XgwOzsr4/G5Ni79kZ1OR1RfIBDo2c1hoz9gE18fwdqtwUVzAoGAEBsfxmazKS1ZnGdHywlDXa3WNGEwlNXbmU+zqj/db0ui0+fIcLbT6ZiGAuiwVFtEdPjI/B5zeizS6M/XFhuttvToeOtoLRZfeE9cLhfi8bhMnabJu1gsyvVzkaRGoyGj8a3qlLBJcOnDJr4+gvXhovrQxQftXatWq/LAsi2N5MVcFwsK1skr2lisq6skOJ2v0xVhnhuJlQUMFj9oGdEWGZIcj8FZfKFQCKlUCpFIBMA8iVpDcsA82dl6vr3yjDoXR39gt9uVMJaEns1m5Z6wn7ler8Pj8SCVSu11ESI71F36sImvj6CVhcPhQDKZRDQalYdRqy2ObeJopng8LqEkuzg8Ho808pNEqIKY29LH1G1aWvlpNajHUllzhHoNC/2vruLyHDhxWfcEVyoV1Ot1k6rTBRF9floJ6uviF1+3jsYfGxtDKpUCAORyOSmU6Ja3RqOBoaEhU4V4Xy1sNpYe7OJGH8CqILiWxtDQkFhYuDqYHvHEh5atZlyNzOl0Ss6NOTCGdXqoqA5lnU6nJP69Xq+pqqrfpw3KLCxQEbKVThOhJiyqPmCBaCcnJ+UcSOSalKkg9fADHl+fG7exfxmYV29afQLzfcYTExNiaSkWixgZGUEoFEK320UkEkGxWJSFi2jR0QRoK76lD1vx9RlIGH6/H/F4XFrQWOkkGdTrdTQaDRkGwDwZSVPn4Gj94GRjr9crn8epxqzOGoaBer0uU4wJHfryPHWfrj43TVokK4a3fC+tMlwbgwUJEquezkKy4zYAUmyp1WooFosybZphNft19X0F5skwkUggnU6j0+lgenpaQnue5/j4OILBIEZGRiRHaL12G0sbNvH1CXT10DAMGTGVzWaFHNiN4fF4UCwWxQLCse/a/kFlyHFPAKSfl4M+tfrjlBUSHosS+nVdTKB6018kLypHhsdUcdZwleEp7SZcklKH0MDCWr4arVYL5XJZKtuVSsW0BjC9jlxrhK1vVIijo6Pw+XzIZDKmkfkc6EpjeDKZFPLTqQEbSxs28fURSCoulwuJRAJOp1OWjdSEwQV1HA6HVHqtJKQ7J+r1OnK5nKmvVVdgSXhUVQQLHVZo64uexgLMt6jR8Ew1SfOzDkmt3SHpdFrCct1DzA4NbYMB5smw0WiI7YZhL3uIeZ60tLCzw+fzoV6vIxaLYXh4GIVCQYaVMizmsAWPx4Nly5YJ8VpbCm0sXdjE1wfQ1VNgPg/FNrShoSFRSwwN6/U6KpWKjGsHYFoXQ1ddSYKccgyYBwjoaq21oKEtKSQUK8GSNKkQSTZck1d3jugCie7bbTQasqi5ttbwPPQ5MrzW18DjaFVKIjQMw3QetK50u12Mj48DAObm5kxkRsXocDikL1rn9uwc39KHTXx9BD5QgUAA4XAY7XZbclfa28fpKsFgEJFIRB5ovl9PMAEWlKTO01FJaUsIsKCcSJ56AECvaS5USDQPszLKcJqqjwSpK63akJ3P52W79hPSmKw9hHqSDENl5i9ZCdYmaZ2fIxkWi0WkUimZ3tJoNKTC3Gw2pUOGipHv4z21sbRhE18fQIeqbJ8KBoOiMqhS+PDlcjnpMdULguv8mLWSyfBTd2robSQhwLxgEEmVx9amXk2W1s4OvWiQ1X6i+4KZA+T6t7qgwv1pdWHlWA9P4OcxfGcBhd0t9Xpdih46R1cqldDpdDA4OIh8Po9KpSKrtVmJL5lMLjKX21jasImvD6ALG8zrUQlRZXGRnUajIROXfT6fVH21303norRys9pBGCpbOy4IbQjWRKVJQFdwdTeFzs1xYIH28/H6dKeJrpoyNAbmp6xkMhlpR9PqVYefPFfmQAuFgqzfy6GqAMR2wzH0zWYTk5OTcDgcUgAiGbtcLqTTaVO12g51lz5s4usTkFzcbjcikYjJO0a1xJXCSqUSQqGQrJuhVZgOeUl6mhRpbuYxI5EIotGoFE208iRJcl+tmHQLG5WdXgRcX5d1ygr31aGjVlI6p+d0OlEoFCQU1spNT2whWMwpl8sol8uyelutVkO1WpXqd61Ww9TUlBRjdu3aJRVdFmI4MSaRSCAajdoevj6CTXx9AJ2b4ypneiadHtw5NTUFp9OJ4eFhU+cCc15WZaKLE9obx4kpJEKqMz20lFVhkpcuwDD0ZajK6i3fpwsfDG05L0+30/G69b3QxG0YhgwT0KSqyY9kDSz4+0iceqBDPp9HLpfD3NwcSqUSZmZm4HQ6sWzZMmSzWezatUvG2HOqNRcuTyQSPc/XxtKE/RPqE/BBZjVUTyShoblUKmF2dhbHHHMMJiYmZNadtRVMFyUAmIhBV38DgYC0taVSKcTjcVFiDK8ZblKd6WOThDjGnov3MCwn6bCyyhBSm7FZCQYWrzui1aUurmhzNElZ9xfzPMPhMAKBgOT+OALL4XAgFovJ8pPj4+NwOBzYtWsXKpWKkCnX8ACAVCplh7p9BLtlrQ+g82+hUEgeUp37c7vd2LNnD/x+P44//nj8/ve/F5+bXpOCxwPMBmAqMebcnM75QZ1Op1NycDRN0xzNli8WOliksFaMSay6MEG1qEfIW6urwMK6tTrs1bP+GK6TOLVNxev1ihrkNpI/O0UcDoesOQxA1FsoFEK9XkepVEIsFpP1iDOZDOLxuJwPw10amXv5Gm0sPdiKrw+gwzeSj85nsQuCXQazs7PI5XIA0JM0gAUfnjX0ZeVUj4vS+bZIJILly5djxYoVCIVCEjbq6S0kNK0kmRfThKXX89A5Qqo0EqU+rjZf01TNKdB6jBX/GFjXE9FdIEwP8A+D3+9HJBIRT+Tw8LB0azidTpTLZezatUsUZr1el2pzKBQS8rRD3aUPW/H1EUh82k7C8DCbzaJYLKJYLOKBBx6Q1jLaNwBIQYTKRNtFdLsZw2n25lIh8QGPRqPodDpSINA+Oqqubnd+uUgO76Qy0i1u9NNpVcpjkKCpABm26s8h+ZFwtCdPEx8A0yADXheVLsNp5u5IfMxJMsWQy+UwOTmJYrEok6ydTicqlQqSySTi8fgis7ONpQmb+PoITqdz0eLdLCJks1khMlYquU4ECYbqi4NBacYleYZCIcTjcVljgsdj1wRzYY1GQ4abJpNJNJtN8b2R3OjTIwHyfKn2SGzaFkLoooQ+bxI984va18juE2uuTx+HY65I4pxOQ6JjWE6F3W63US6XEQgEsGLFCszOziKfz2Nubg6jo6NSaMrlcnA6nUilUnjqqadsE3MfwNbkfQKqmGAwaAp9dWeDXtaRgzP1so29OhR0fyswH+4NDw8jGAyiUqnIGPZ8Pi9TnUkwPp8P4+PjOPLII7F8+XL4/X4ACxNd2KFBhcVcpba6cAR8r7U/9JRo5gQ1OelcIt/Le6DVnyYyFmQ4bp8tdFzLg+RMsuY4rNWrVyOVSqHZbGJ6eloUYzQaFfWZTCalGm5jacNWfH0C/ZDqMUlOp1OS8FQx2jSsrSQARCVR4VCJAfPEMDU1JeSQyWRMOUHmtTweD8LhMFqtFvx+P5LJJObm5haFxl6vVwYA6OoqiUs391uJiiQJQHJ5urtDT1Th/eA16NY77WVsNBpwOBym9Um0BUf/waDfj9NrWOgxDMPkGeS5Ul1zASMbSxs28fURSGTMVZHcOG6JZEL1wv9Ho1GTn42hnW5fYyjINTpoYuYUEmA+ROZDTgKtVqtCUhycACxMYSHR8HOtiX/28QILbWUkJYa5umgBwKT6dE6P94jFH1244Pt5viRpHotVaob4nMDCFep0R0q5XBb/Hv/YVKtVxGIx6XKxsbRhE18fgA+dHsmuLS5c5azdbksejg8lixg0LwMwdWsAkNFNOvxl3ysLIdokTOXHlrh6vQ4AUmSg2mMHBFUU5+7xmAw9Sco0ZmvCIrkDCx0qJEW2n3GZS167vgbmD7VhWbfS8Ysz+3gfOp2OhPrtdlumXE9NTcm+qVQK3W4XsVgMO3bswODgICKRCGZmZl7w3wkbfxhs4usT6IdVTyIBIA8oK6jdbhfFYtEUtmmbCK0dVG063NXkp1vYrJYSANIby/ex48Lj8cj5MESmV8+qsrRK5VAEXdSwqlKeL1Uow1bdLqfPnaE/izi8Vi61yWthsUQPRC0UCuh0OvB6vSgWixgdHZUV7TiSvtVqYWhoCNPT0+KztO0sSx/2T6hPoPtsdZ8uAFlGstPpyPqvzE8xp6Zby7QS5PG0KrT2ubKzwpr8pzIj4dVqNRmTxVwb36cLFLpQoclST2zRhEzi1e1uNCwD5mU3raOmdMWW58tRUgTvZSgUkrVIPB4PotEo4vE4otGomLsTiYSQop5uwy4XXo+NpQ1b8fUJqHZIRFQvDMNoT4lEIvLw6/Yv3epFFUcy0sfUIaZWXi6XS0Yx6aoyixl6cECr1ZKQFoDkJXVXA8NdWm04MZkmY5IUixdabTJnqMdo8Tx0HlFfs+7msOYRHQ6HdMQAC4uhcxJLp9OR4lE8Hsfk5CQKhYIUd3iPWGyxiW/pwya+PoDORwELeS/m8di+xtatfD4v/jbaLbTiIUmR/HSYS/KwTnIh+TEUBSCky4IBOyg40IDnx2vw+/0IBAJSpdVreVAlsrNCD17Qg0d5rpylR9JkGG2FzvVxQXIWP3SukApQrwLHxY06nY6EsIFAAE6nE6VSSQocukBDX6CNpQ2b+PoEmvRoEeFDSUXEMLFarSIUCsncPr20JMmIRKZbwPQDq8c+WaejaLWpCyEckMrXAJgUGicta2Mxj8+cJN/LkFPn+qgsXS6X5C9JTjrHp/uErVYZXi+XqNSGZU2ueh2Qdrstq8yxEFSv11Gr1WQgLK8zEomYKsk2liZs4usj6PCv0+nA5/OJWqKCi8ViCIfDUgHmg61VDS0m9JuRpPRYJz1pRRMUVR/JizlFl8uFSCQieUSSk55wzPPX6+dqtcccHT1xrMDqEFa3ynHhb90CR6Ii6fH9LLbwXKyrtZE09bq7bHMjaQcCAVSrVSE5VnZ1wSYSiZjaBG0sTdjE1wfQOTUqm3q9jmAwaFpJjFYXhopM7FsLF9oWQ7XCz9BqjnlDXXzQBQOSB/ejF9AwDDQaDenjZW4tGAzKKCfaULheSCKREOJjlZfkqNvJOp0OZmdnpZrK13hNuvBDIuc1kVRJ/JpQrcMUGo0GarWaqOVAIAC3241arSb3jG16Og2hJ1bbWLqwia9PwJwYsFBU6HQ64pNjLy19dXrJRRIDw0xNQno+nnVxbKo7QitIhprsiLC2y7G1jaF5IpGQydF6ECkLLcyd6cIFYJ4mw97Zubk5WT1O5+qo6qxGaa/Xi1arJfeJixppiw+vWRMkVS+LNCRqfi57mEmuAKRFz8bShk18fQCqMao3tkXp0I0YGxvD1NQU6vW6aagoSUwvBcm8nPbb6QolQ1vdMQFAlJVWd1Ra7G1lR4Pf70cikUAsFpPQtdVqiQXH7/ebFBf38fl8cq6NRkPIdMeOHSgUCggGg5J7I+nwvbxenR/0+XwmZapzftxGRcnPY57P5/OhVquJeuV7SbQ6dGY7n42lDZv4+gB80JjL0oRG8mGYWCqVxOcGwNTdQHWl84LMFep+Xb7PMMxjoACIIgQgnjVNOACk8qsruSRPhp18r54ww2sk2TYaDRSLRRQKBQmd8/k8AIjK1GZlYKGwwWvQxZ1QKCTqjueoTdLaB8jzZBGErWzaH8jPB2AygdvEt/RhE18fgA+anlKsm+OpZFwuFyqViskmQlLgw68HeOqKsK5y6vFSDPO0740kxvfoScokACpSEhyHG9DQrAlT58iA+ZCyUCggl8shm83Ka4VCQchR5yWZh9RERlLneZPEeF3cx3o/AcgoLypfKlreC6pDKkCeB/2Ldqi79GETX5+ADzxzfXxQrRVTViB1vozEMTg4CADIZDKSE6RFg6GdDl1pyGURgGQCwNTGRqIlMQMLc/YYEvL8qOQYXuvzphKtVqsoFAqYnZ2Fy+XCyMgIcrmcadx+JBLB4OCgbNOtdASPT4+fzvtpstWDT3W+jsfkcameCf2ZOmy2ixtLHzbx9Qm0eZfEByyMkNe2DyocTkDmA5lMJhEIBKQaqScQ6weX7VesZmqypYLk/roQogee6mN3Oh05Fz1JhsqTuTxdHGH3RCwWA7BgLOZnVCoVyfFp4tOmZBKd1eSt/4iQ6Fg8oaJlEUbPEmRuktdMpc17qfOiNpY2bOLrA1CZMAmvE/caOsHO99Cr53A4sHPnTgwODoqFxPo+3a7GSSccsa7NwCQ+a17Nui6GDovD4TAMw0CtVpP8WKVSEeJjuE0rCcdhsdODiow5uGq1iunpaRn+qUNWgudJ35/OJfLaWKjRvcC1Wk1yetpLyLFV2v/ndrvRaDTE/8dj2FjasImvj8AHkWRGEuBrJCU+3Jypx7FNlUpFQjU+oNyXikUfAzB3bpAg9D78P5WdrnyyyEL7SCQSEVKr1WooFosmCwnXCaFFh4MIdC8yr5VLP9IiQ7VLQuf+2v9nVaIM5fXwg1qtJoSs83e8fuYydf6QKlDnUW0sbdjE1yegevL7/SiXy6YHkw+7JiaqNyo2YCEvp71ofICZqyO4TT/o9AKSgA3DkJYtWlgIGoo5Kj+Xy6FcLouSrNVqojy5DYD01dIiwmvnawAWee10Do6vkdh4jb0GPDA3ydebzeaiY5LMSXoM23Uxp16vm0JvewLz0odNfH0APrBc29bv96NSqZjye8yZMUemuzRIPtzGkJOVSeavAHMRRVs9dJWX56MN1TrXZ80zer1elMtlWabRMAxp8qfhNxQKSWHG5/OJ+Vnn8FiQAWBSlzxvreyoSElWesw8izra0sJWQIbb/COiJ8Lw83So3263kUgk4Ha7kc/nkUwmxXJjY+nCJr4+AB9ujkGPxWJimdC5N+alaB3pVQxh8YL78+F2OBymIQHM+TGfqHOAWm3qqrF1SUZ9/vTrNRoNWQXO7XYjFoshHo9LfoxkyXMPBAISqusRWgCErDX56X91Ox5JNRgMmvJxPFeeI3uE+X4qu3g8jpmZGSFJfk6j0cCqVauwfPly3H///TKk1MbShj04rI/AHBRDKsC8eDWrobSE6LYsXbkF5gklHA6bKrhUVlSOen/tt6PJmLk2kgFVlHWhbj16niPdASAejyMejyMcDptmB1rDZPYiW3tv9dojvBf8ni1sundX9xczdaAVM6+B10eydzgcMh2a56EtMDRGU6lqy4uNpQlb8fUBqHKYE6tWq1JN1OEriwNcvJthrCY+a66LeT+2oDHv5fP5TEqKx9AtcLqLwzriiTk0KikSRS6Xk5A9Go3C7/ebjNAAROG5XC5MT09LWM5zI7mRoK32EWsRhCqXSpfbei27yXBe50uZT9SFIP5RYOhdqVTg9XpNQyNsLF3YxNcHIPFUKhVRZCQsPX6dyXkqJR3K6byUVnIkKPrwdEWYfbLcT5ObVSkxl6ZDVq28uH+r1UIgEMDIyAiSyaRJJRqGIZXfWq2Gubk5ZLNZuU5tWSEhFQoFJJNJU/itR3exbU6bs3XhgpYWHlvn+9gWx3yjlWD1tddqNbjdbln4ycbShk18fQJ61xi6hUIhsU/woaTBNhaLmdSd7kUleXEb7Rw6f6cLAXplNl1B1s3+OtzWxEjipZrkLLuxsTGMjIxIC5lWYXqaMkN3PSFaF3QcDgdmZmaQTqcRCoVMuT2SGVMC7EZhdVZ3jGglq8N5vU+lUjGFyfo9PC4nO1v9lTaWHmzi6wOQSPiAaXKwdgowLNT9pzqM1N4/vQ9JQysn3RrHyq9WPswJasLhdlaX+ZlUjmNjYxgYGBCS0GtsAJCcoQ6VeTyd3+PnFYtFlEolWdpSh/K8D41GA9Vq1UR4OpcILORHWTkmaVI58lp4j3jtJFJusz18/QGb+PoInL/HJL1WICQDPqA6HGQIrIkjEAjIQ00jL2CuZAIwESvfS1LhOVkNzfx83QbndrsxODgoLWi6sKDVKQmaVWBdqSXJ6iEFjUYD+XweIyMjcg94bKrGSqUivcjW1dWolHW3Bpei5LXwPlsnO3e7XVSrVVSrVVO4b2Ppwya+PkK73UapVEI4HIbD4ZDOBoavwIKJmQ91s9mUTgiSHNu0uGA4j6O7MnRIq5WhJj3AXORg+KfDYH5OJBIRq4jOO1q7K3hM5uZYaLCeizY15/N5WahIrx3CPxS0stAjyNf4mcyddjodZDIZRKNR02j6arWKeDxumkvI86eSpLlbewttLF3YdpY+gCaVSqUibVyshuqVz/RwzFqtJgM0dfhLVVepVEyLkQMQW4kmOGuBxEqOPEfd3kYy1FYWKzHyPLXhmMdvt9uIRCKIRCKLSFIrRYfDYWrF47nwX3rzQqGQ5BSp0tg9osdz1et1sdIw78hJy9ZF16kCdbVZz+izsXRhE18fgT4+j8eDUqkkSo0qRls0gIWEPtUfrSMkOZIjq5cATGTG763DCKzqjtDFDipIh8MhBG09vh62QCIhuXS7XYRCIQwMDJjsJro9jcfQI+GtRm0qTS4DWalUUCqVRKnpPxQOhwOxWAzBYFA6SaiS2WkCLKhFEjjVnsvlWjQAwsbShE18fQKqDDbEV6tVMdtydJK2cFBh6WZ6t9uNUCiEeDwOn8+HQCAgfj2tBvVnAjARE7BAfPy/VjgMUzlqiguLW4sSfC+/15OPCbfbjeHhYQSDQdNsPGtvLrDQUqdtOyRghvZ6HQ1gYegAz5shOQBR1toryaq0LsDo6+UEbFvxLX3YOb4+gC4YlMtl6d4gkXHlMq/XK8MCSHx8sLlKGJP7mtQYqlnzYzrBT2jy0sUMvkbSYV5Oh7jWsLaXz1BXXg3DQDQaxcjICKrV6qLP5Xt4/oB5NL4+Nx6TqlIPaNDtebxfPH9t6J6dnTWN3nK5XHI/eX0cIGFjacMmvj6AfpCbzSYKhQJCoRCazSbi8bgQH5VMJpNBOp2WBYeoypjDsrZwaYLk5+mCie6E0KpMv27tDNG+P+vxdIjL/VlJ5r7Mu3m9XoyNjSGfzyObzS7qEDEMQ1Zp6xV+8/O48Li26+g0gDZJcyI138vUgPYc8v6FQiE5lh7gYGNpwya+PgIfsEqlgkQiIQMLqOao0rLZLKamptButxEKhSSk072nAETJ6EkuOnTVSoyfr8Nh3e2gw04dOutuEGvlGJgfUMpqqLVqTPNzMpnEypUrZcCBzjH6fD4kk0k5jg6VdS5OV5+pKvkHQ4/D18t16goy/zjws7n6Gvt0gfkp0drvZ2Ppwia+PgEVSbfbRblchtfrRaFQwODgICKRiClUZb9oMBhcVMkF5skmEokgl8sJWWrVphWh9r1p9aiJVKsobWjWOTC+pgsf3W4XiUQC5XIZuVxOjqFziLzudDqNRqOBrVu3yqBQp9OJaDSK0dFRKV7oyi9gXgtDV4R7fV8sFk2j5bVK1SZswzDk3uhlK63VZRtLFzbx9RFIFoVCAYYx37vbaDQwMDAgREjfm8/nQzgcFtsLrSVMzGsTMBWLVmYsTuj5eiQEvTAP36c7JrT1Q09C1oTTarWQzWYxPDwsVVddoLASl8fjwdjYGAKBAGZmZlCtVuF0OjE6OoqhoSHTimnW/KM2d+v8nFa6Ouenr02fv1aCPp8PwWAQLpcLpVJJlKM+ho2lC5v4+gA6n2UY80M8WW0slUpIJpOIRqPI5/NSIS0WixgYGECxWBRvnl4IfGpqSo6v82JOp1NG1jM8tFpWgIUwVys0q1UFMLegEbTZlMtllEolOJ1OTE5OAgASiYRpDQ2SFHN56XQayWRSBgdwLqFVTeoCChUqjcrcxoozx2FFo1GxufC8OUlGexIBSJjLgkYwGJRRYHaOb+nDJr4+gSaVarWKfD6P4eFhNJtNDA8PI5lMYnJyUghoz549GB4ehtPpRK1Wg2EYMpqJBEAPHIlCh3UulwuhUEja2XRSXxcx9JdV6ejiBomEthCGhDRZz87OioIKBoOixqyfQ3+eNlnrvKH+l19s2aOZm9fKnCAXHqLXsd1uyyLsbrcb4XBYukNisZgMeuUCSs1mE5FIBPl83ia+PoFNfH0G5upmZ2eRTqdlzNPg4CB8Pp8sKF4qlbB7924hRz3KPRKJmEgOWKjMMgxmxddafeU56A4Oa9FDqzsdUjPE1T23XEiIREe1xfdqQtVWG/05vc5D+xHZtsdlJnVLHWA2enNwAcPfYDCIQCCAbdu2icGZapuDERjiFovFnn8AbCw92MTXJ7BWGDOZjHQedLtdJJNJKRQA8w/j7OwsksmkqZpZr9dFyWnrhV5nVhONroICWBTSEtZ8H7cxtNQ5vmAwKIZiLs2oBy9wlJQmUh1aW6GtNJrwAMg8PV3EIPFShfIYzG0Gg0H4fD5ZE6TZbGJubs40b4/FDV4f2/9stdcfsImvz8CHv1wuo1KpwOl0Svva0NAQ9uzZI8WFUqmEcrmMaDQKYME/R4WiW9W8Xq/YW5gnA8xjqqzQ1VJr9dTaWmY1O5N86vW6hL3ML1oJzFro6GWjsfYVc392VOj3Mm9J8qca1H5HvtflcmFubk4q6SyqMDzmMdn6tzdytrG0YBNfn8Cqxur1uhQ2crkcwuEwYrGYhJaBQAClUgmZTEbasBjC6XwXj8fEvc/nQyQSMS3tqG0sJLZe45d4LD2fTm9nmM4hAd1uV6rQWrHpqjE/U5OxNfTWuUSrGtXnqef+6evS95jhOD+73W5j9+7dUjyhUZnKVE901muV2FjasHt1+wT6IecAzGw2C7/fL50ciURCfGVUNoVCQR5IVnytQzl1fowtXdq4DCy0ZOmQ1aridH7N2u3B97OYQSVG8uN+tVpNqtbaD8jr1lVkaytcL5XJUVQ8X93Dy2vRsw0BSE7U6/VKxwjH8zMk5sgstg6SJG3S6w/Yiq+PYCWibDYrM/eazSaWLVuGaDQqeT6/349arYZKpSIrgNGLprskdEI/EomY1tXVq6hZVZ8ODXl+fF0PKNX76iILCx2cLsNcnGEY4kXUC43rkFf/IbC2sOl8ntfrlfujiy5W87LuFdYLNU1OTqLVaiEWi8Hr9aJUKslgCFbFWTnX4bKNpQ2b+PoEOq8FzD/gxWIRlUpFVB89blNTU+h0OggEAmg0GigUCkilUousJ/TpMV9FPxvbt1iAsNpbrMUEa1VVT0GhUtITna0FFbaKBYNBIU2SLtWgXstC/wHopbA0IbOSa52bx8/RAw6oiNmfS9sQ/yjoanMwGAQA2cbChk16/QGb+PoEWklo9UQ/H1f5GhwcFKNyJBKBz+dDsVhEvV4XlQJAjLva6FupVETh6TU6qCoZBuvwWHsBgfkwkRNK2M+q1wCmOZrqilNQSKT6/yRVKkASGENN3VHC8wTMOT8AiwhPE74mQW6nuTmXy6Fer8uYfp0H1cSnQ29b8fUHbOLrA2gloR/odruNcrmMsbExCW+HhoYQCASQz+fRarUQCoWQzWaRy+UwMjICwzBkPh7Nt7pTgdDWj2AwaFJ2mqB0aMtOB54rQ1naQjgQgZ/N4Qler1eIhGRG8mLurF6vi+dP219INlSIuu2O58Z5hbp32Bou0/ZChej1elEsFgHAFPpzbl84HJbKONvtNFHbWNqwia8PoCuRGjrPR3IYHh5GNBqVhbtjsRg8Hg/m5uaQTCZNuTU+pHp4KSuXupjBUVbhcHjR+HUdauo+2FgshkqlIm1cnLRCkqKC04UIfb3ae8gqsO4c4flZW+qsoS+vSxOhLopocuY5sWujXC5LnpFhM0dRhUIhGUoQiURs83Kfwa7q9gl6WTU4sKBer8MwDFlcm61qVF8ejwe1Wg3ZbBbRaBTJZFLUklZnXq9XLDEAJOTjgkTWmXeakLVlhepMh8SNRkPGNnGdC6pKqzkbgITl9PmRnHUrm34v1Zw1j8kvTZAkPBZ+WEWm8vN4PKL+WFxhgcTj8SCRSMDr9SKbzco15/N5W+n1EWzi6xNYbSPAwhoc+XweDocDuVwODocDBx10kHRHsPjh9XoxOzuLbreLQw89VLoOeDwqQHr8GBL7fD6Z+QdAih5URfS86fwaACFkkqVeWIgkqSvF2mDM/CNJlOG4rsJaixIM2zmxRo+qJ6ExHK7VaqIieR3c3+/3Y3R0VAo0Ogw2DAPBYBBDQ0MAIMMJstmsTGixQ93+gB3q9in4cDUaDWQyGUxMTKBcLqNYLGL58uUYHByU7o5YLIahoSFs27YNmzZtkunMOl/HEJcrigUCAUSjUdNCQSQXqiGHwyHtXQAWhZ0sRDBHRnM1/+UxdbWW49wdjoVhBiQdVld1ux3JkwqO19XtduXcSXgkao6nspqwm82mpAZqtZqpkt5qteDxeJBMJjE4OCihbzAYxO7du2VWH6/DxtKGrfj6AFYFocPeVquFmZkZsaJks1lEIhGsXr1a+k2r1apMPJmZmcHvfvc7AAt9tRxcEAgEEAwGkUqlEIlE5Ji6ClsulyUHqCeR0AjMadAATBNQSGaavLjGrw6VtaWGpKdn7fWaEk1oVclJyjxPhtjMy+lxWQ7HwsipQCCALVu2YG5uTs6Pxw2FQli+fDnC4bAowmazKUq618/KxtKErfj6BLrKqbdxEexSqYRIJIJSqYR2u43Vq1dj06ZN2L59uyynGA6HUS6XsWXLFgDzs++AhQIA5+DpdjU+9Jw+wsGmVHIMOVnh1H23OozVC3kDMBUMdD6O/jk9Nw9YsKRYq9o6h8dOCio0vUIavYJUtCRYKtRqtYqBgQFks1k89dRTcDgWZv0xtzc8PIyxsTG0221JK1QqFan+Ar1zsTaWHmzF12fQeSQ+YOVyGdu2bUMwGESj0RDrytq1a2XNDa7PEQqFZIQ7JznTVsIvjmnSFo1yuSxhJMNO+tv4nmq1uqgzRIO5Rioptq3xHABIMaNer6NcLssUGpKe9vPp91urt8xFWvN0vDZeX7PZlGGoALBlyxa0Wi2pYFM1xmIxTExMIBaLIZfLSbvg9PS0hMWErfqWPmzi6zP0CvHa7TZ27tyJfD4Pj8eDyclJ1Go1rF27FqtXr4bD4UAmk0Gn05E1davVKvbs2SNhJAsWlUoFhUIBpVJJSINExFCT6lBXbXVfrbaM8Fz1wj8kFBJpMBiUHl7m36w2Eyq2SqUiuUuGsTwuCyw65OWXdS1c3WXSaDQQDocxNTWFQqEgFWyqWJ/Ph9HRUVF7mUxGzM56gIGt9PoHNvH1AXr5+Kz/LxQK2LRpk6ytu337dng8HhxzzDEYGRlBrVbD5OQkHI75YZp+vx+ZTAZTU1MysYU5NaohKiUah3V7G+0memgBDcq9/GzWYoK2pIRCISlE0Fzt8/kQj8cRi8VgGPMLqddqNRQKBVQqFZMHUIfZeviBHmCg7TB69h8AxGIxtFotTE5OynXQPwgA6XQaK1euFL9epVJBKpXC7t27MTMzIyrczvP1D+wcX5/Amt+zEkur1cK2bdsQj8cxNjYmOah0Oo2Xv/zl+NWvfiW+s2QyKZOEd+7ciUAgYOrlBcwL9LBdjSTHXCBgntrC1jRgYd4eCUGH57qjglNmSKhaSeqQk9+zNY8FFBZdeJ7WCS7AQmcGSU3nH/n91q1bZUiry+WSPGM6ncZhhx2GoaEhGZEfCARgGAY2b94sIbruArGx9GETXx+gV1VX/0tSqVQqePzxxxEIBDA0NIRCoQC3240VK1agXq/j/vvvR6FQgMvlwsDAAOLxOHK5HJ5++mm43W6Mj4/LhGFNLAxd9RQW3Z/LfagICd3aZjUQ04rCfBs9fGxJ4+fHYjEJsVmssI6gIvHpEfIMe0mM/Dw99IDnvXv3bhSLRVnLg1NsBgYGcOSRR2LVqlXodDqYmppCpVJBOp3G5s2bMTMzYyJzO9TtH9jE10ewPlhWBchOjocffhjHHnssBgYGUCgU4HA4cMghh6DdbuOhhx6SbcFgUMK3zZs3w+fzIZ1Oo1gsmgiE00oASCWWLXKs2HLgAQmr19BPAEJ0zNvpAZ/s9QWAUCgkRmad16T1RKs+a4FGF2B4X6wVYZL37t27kclkZKGjTqcjbWhr1qzBwQcfDI/Hg5mZGWQyGbmnmzZt2usYKpsAlz5s4usj9HrIgAUTMJVZLpfDI488guOPPx7JZBLZbBY+nw9HHnkkms0mHnvsMRSLRRldxb7Txx9/HN1uFyMjI6ZcH5URuzRIWLrqq8lG5/70+TIXR28ez51FBobK1gIOyYttduywsLaoAQvFFW1HAcxrirAjZNeuXcjlcgiFQggEAmJ38Xq9OPjgg7FmzRp4vV7s3LkTmUwG0WgUbrcbTzzxBPL5vNxv6znb4e7Sh13c6CPo6Ska1r5ZrsL28MMPo9VqIR6PY3Z2Fk6nE0cffTQOO+wwhEIhsaj4fD4EAgHU63U8/vjj2Lx5M5xOpzzoOm9G4tNhLo28en0LndvjfnoaSyAQEHuLzhvqhbppvq5Wq6JA+V76AlmxpdKjVUavI8xhoSTvQqGArVu3Ym5uTq6d6+46HA5MTEzgyCOPRCQSweTkJPL5PFKpFEKhEB577DFs27Zt0URq287SX7AVXx+Aj5EDWJRLIunpB5FEtGPHDvj9fhx33HGIRCLYvn07xsbGcNRRR8Hj8eDRRx9FsViUrg0upvPUU08hk8ng4IMPxuDgoOTJOGyTFVXdM8wQle1k2mdHEuIcPeb2rGOkSHwkLFaTqSR1HpH5QB6HVWddLaYdhsUZehwnJydRrVbFtkIvX7fbxfj4OI4++mgMDg5idnYWc3Nz0sb28MMPY+PGjT1HzJsq73aou+ThMOw/TzZs2DjAYIe6NmzYOOBgE58NGzYOONjEZ8OGjQMONvHZsGHjgINNfDZs2DjgYBOfDRs2DjjYxGfDho0DDjbx2bBh44CDTXw2bNg44PD/AT28vZXc3XcyAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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raDQa2LFjB+x2O2ZnZ7G4uIhSqYRGowFZlvmn+Tw7gqD5O543IUXN1/G70T4u6IqAgXapi2qysTdqLAhg7akny+3/bret+FLbXQp2fdN+mrWPRqOBw+HA+Pg4tznOZrMolUqoVqsAVtsFG41G6PV66HQ6Bg/9mEwmWK1WuFwu+P1+OJ1OzMzMYGpqCrFYDOVy+YInVYgPDEDwT5oui9zhGrTdX/P1E64NgZJ61V3KoioNtJEIvrniNawDggvafzvQnQeO0WiEz+fDZZddhomJCaTTaZTLZRQKBRSLRRgMBpRKJej1emi1WvZ3JElCo9GAJEkol8vQ6XQoFAq8X7fbjRtuuAGjo6P43//9XywtLaFQKKBWqym0UbM51g7srHE6+FSbBk+7bUVfSiXmG6ByAF2UH9Ns9lzg8cT/tVotzGYzvF4vgsEgBgYG4HA4sLKygpWVFdTrdVQqFTQaDdYaFotFYbppNBr+HQAqlQpPljCZTDh9+jSy2Sx6enrw2te+FolEAsvLy1hZWUEqlWIwEaCAzppyPZ+nBYCQ29ptG5IHrOXUIaoEkLTR024Dm14Wfqf9NZs5zcejha7X66HX62E2m+FwONDb24vBwUEYjUZEIhHMz8+zmVUoFJDJZGCz2SDLMvR6PWsCrVbL+yQA6XQ61Go1GI1GpNNpaDQamM1m5PN5hMNhOJ1OmEwm9PT0wGw2I51OI5vNolKpsKar1WqoVCoKQNG12uiaitS5BKkjFS0+SFTiIXQUVQII6MAqbfKzzRDptAhoUZtMJtjtdpjNZqaZjUYjTCYTdDodotEoarUastksqtUqqtUqyuUykskkqtUqdDod6vU6ZFlWmF4EHhFMRCbUajVEo1HY7XZYrVY2/YrFokKbEfgajQb3vM5kMojH48jlci1AEr9v8wNoI5JGTabZZkV1AGo2o4AOfg/WmoG12utCwLGNWUOaxmazwe/3w+PxwGAwoNFooFgs8jbVapUHj8myjGKxiFwuh1KphFqtxjS1LMvQarUMLgAKbUQarl6v8zmYTCZIkoRSqcQ/LpcLer2eiQaHwwFZlmEymVCtVpFIJCBJEgYGBlCr1TA3N4fl5WXkcjlUq9UW9rH5Wm5kmomf6bQtv64SsKkOQG3pW/H9pu03cxvFhaTRaGC32zE4OIht27bBbrezr6HVaqHX6yHLMkqlEtLpNPsg5XKZAdJoNGAymWCz2VCv11Gr1WA2m2EwGFAsFlnbEHlQr9fZL9LpdMzmAausXaVSYbDWajWUSiVks1lYrVZIkgSXywWXywWHw4FMJgNZlmG32+H1euH1ejE/P49IJKKgwttd107XRSQpmuNMrRS5OoBDojoAkXTyf6Q2v7OtTg6QoJZE8Oh0Oni9Xlx11VW4/PLLUavVEA6HYTAYYDKZUCqVkMvlkEwmkclkeEGT+SSaZiaTCUajUWFCmc1mNuMMBgNrsWq1inq9DofDwRrOaDSyBiJwVatVfp00W71eRzKZRCqVgs1mg9frhc1mQzabRT6fx8DAAAYGBnDy5EmcPXuWAd98LZuv53psWotvpTLQiKJKAG2WKqXt+IbLre+RaLVa9PX14cCBA9i9ezfi8Tji8Tj7L4lEAuFwGKlUCqVSiR11YC2LQGTWyHcql8vMktXrdeh0OjanLBYLyuUyKpUK+1elUomzE4rFIhKJBAOH2DyDwQCbzcZANZvNSKVSOHv2LBYWFjA0NITBwUGUy2Vks1ns3bsXo6Oj+NnPfobnn3+e99OOtVszwTZ5M1QMHkClAGon7Z6gmxFa8H19fbjpppuwd+9ehMNhRKNRmM1mRCIRzM7OIplMcnxGp9Oh0WiwP0P7IY2g0+lQLpdhMpkArM0kqlQqAIB6vY5CoQCTycTviT6QLMvIZDJIJpPI5XJsMhEtbrVaYTKZIMsyDAYDPB4PjEYjstksQqEQEokEYrEYAoEAarUalpaWcODAAdhsNtRqNUxNTTFj1459VARc17mM6wVe1cLNqQZARKmuZRujY7rIepR083aSJMHtduPAgQPYv38/wuEw5ubmoNPpsLKyglOnTiEajXIqjsPhgFar5UApmT/iU12SJBQKBdTrdRgMBgYpaaxKpcKkA32G/iffKJPJIJvNMhFRqVTYbANWc+3ItHO73TypvFwuo1wuY2lpCel0Grt27YLNZkMoFMKePXtgNBrxyCOPYHJykkHUSSRIkKX1QaR2UQ2AWqQDjS1BGZ9Y7ykpSRKsViuuvfZaXH/99SgWiwiFQjAYDCgUCjh9+jQikQgajQaMRiOcTiecTidqtRry+TwTCtVqVcFSkU+k0WhgMBh4rAedE2kaMuXE7Qn0YvCVyIZGo4FarcZpMuSDGQwGOJ1O6PV62O12GAwGJBIJZLNZJBIJXHvttajX64hEIti7dy/S6TTy+Tzm5+fZx6JjtTB068SDXgmiSgBtJoC3kUMsSRKMRiN2796NgwcPQqvV4uzZs/zEX1lZQTKZhNFo5FgOaQcCDJlo5P9UKhXOPKD4jslkYgobANPQotYigFBqD+XHdUrHaTQa7DtVq1XO7Cafp1QqMZtIM2GDwSBCoRBMJhOuu+46LC4uIpvN8kAwkWnbdLxHIBA2m0d3qYlqAKQo1rrA6HdzvINMqmAwiBtvvBF+vx9nz55lBiwajSISibC5FovFkM/nAYDNNjGGo9frFaYYmVqiFiEhUJEWIoKBSALyo0g7Nf+QphKPk0gk0Gg0kM/nUalU0NfXB4PBgGg0imw2i7Nnz2J4eBi5XA6zs7PYu3cvbrzxRszPz+PZZ59FLpdryfSm69RCxHS4B83gUQuY1F/SLUmKrOvmiUprmylvqc1mw/79+7F9+3bkcjmsrKzAbrfD5/Ox867X65lirlQqSKfTiMViyGQy/PQvFosoFAocQG0OzJKP0UwEiGABwEN8iboWCYrVr7YGLLE4j3ypaDSKYrGIK6+8Eu94xztw4MAB9Pf3Q5IknDp1CqlUCn6/HwAQj8cxNDSE1772tejr6+Og7uYv+drDQ+2ifgBtUsSFrdVqMTw8jH379sFgMCCbzcLpdKK3txfFYhHz8/NcdrBr1y5cffXV8Hq9aDQabKaR31Aul1EsFlEulzkWRKDQ6XRcukDnUKvVUCwWeRsxpac5SAm0LlYx1mS1WmGxWPiYw8PD2L9/P4xGI4rFIux2O3p7e5FKpfDcc8/B6XTC7/cjk8mgXq/jyiuvxI4dO2A0GhnA7Sjt9YKsahfVmHDtZDUBEq31P/Q+2hNIFosFe/bsQTAYZJMsEAigWCzi5MmTSKVSGBsbww033ICBgQHIsoz+/n489dRTiEQibEKJPg8tMjG7gGhrnU7HzJtId5MZZjAYFIFRcVvaH4mY1OpyuVjLeTwe7Ny5E6FQCMeOHeM5rwMDAzCbzZicnMTOnTsxOjqKYrGISCSCgYEB7Nu3DydOnGhbuyMml65e5o1TedY+qw5RpwYSzDYFZETzqcNHtVotAoEAdu3axVR1o9GATqfD3Nwcpqen4XQ6cdVVV8FgMGB6ehrRaBTj4+N49atfDb/fD4PBAABs3jUvJvJ9yMwT/SMChCRJnOFARAMxekSBN/sf4nGI6q7X6wgEAti/fz/q9TpOnjzJNUPk042NjaFcLuOFF17gor1wOIxKpYLt27djYmICZrNZwQKuXsM1n3Hd9B0VizoBdAHSDCSj0Yjt27ejv7+fWSuiraemppDP5zE8PIxqtYrf/va3OHbsGJ5++mlMTU1hYGAAV1xxBSwWC2cWAO1ra5pNRooHAatMHGURGAwGZt8IQJ1iMyLFXalUkEqlUK/Xcc0112BgYADhcFiR+kPsnMPhgE6nwwsvvIDFxUU4nU6YzWYUCgUuAnQ4HAygdt+n3bl0TPXpfDsuOVEngGS5fXMLafWZuV7cx+12Y9u2bTAajSiVSnA6nTAYDJiZmcHs7CysVivcbjeWlpYQj8dRqVSQz+exvLwMSZKwb98+7NixgzVGM0MlxlNI49jtdvj9flitVvaLmp/qYj4d+SPKr7z2fUU/y+/3w+v1Ih6Po1gssqYrl8sAwN8nGAwilUrh+PHjKJVKMJlMyGQyMBqNmJiYQE9PD/th7ejzdufTwsxBAI9KtJQ6AdRGJElZzdLuqanX6zE4OIj+/n40Gg3WPplMBlNTU0in01y6kM/nFeZZpVJBIpGAzWbDzp074fV6FcxZu9IAihmR2WSxWFgrkLYRm4o0Gg2YzWaYzea2qTXi75Sx3dfXh5WVFSwuLqJWq0Gj0aBQKCAcDqNarWJ0dBTBYBCjo6Po6enBmTNnMD09jVqthkKhgHK5jEAggJGRkZbjNmdhbyiyvO4D7FIU1QCobQo+oKSxz0vzgqYfi8WCkZER+Hw+rtzUaDRYXFzEwsICjEYjBgcH4fP5oNFoOC2GShLOnTuHU6dOQZZl+Hw+XnDNvgOdL2UOlEolFAoF7vVGCaNiUFQMnGq1Wk4oFb8TiU6nY0atWq1iaWmJ034ImPl8HrFYjH08l8uF4eFhzoWjBNVSqcRa2el0ttV+zdd0vfvTTjNdyqIaALXcvOYFK/7ehorVarXweDwYGhpih9nhcKBUKmFmZgblchlerxcDAwMIBAIwm81IJpMIhUKIRCIoFAqIx+OYmZlBqVTCnj17sG3bNlgslrbnK5ZrNxoNruEhzUb+j1arRa1Wg1arZTpZ7NjT/N11Oh2CwSD27dsHr9eLZDKJZDLJ5pu4fTKZxDPPPIPp6Wn2u8hcXV5e5vMymUwYGxtDMBhk83LLohKaWzUAIlnv6dbuHVoMOp0OgUAAwWCQF5MkSYjH44hGo1wAZzKZUCwWEYvFONlTdK5zuRxmZmaQTCYxMjKCkZERWCwW1kS0LRXfUdk3ADbntFotZ3SLZd0mkwl6vR4Wi4X3SfslIqKvrw/XXXcdent7WYuKNDrl91GCabVaRTQaZW0qyzLS6TROnDjBfRcAoLe3F8FgECaTSWGaQlrTKutqljaWgBpENXGg5iRHlnav8YfWPms2mxEIBOD3+5kAKBaLWFhY4LZT1FI3l8uhUqnA7XbDaDTye3QO2WwWhUIBFouF/ZBEIoFCocDnSE97CqSKBAHV8pRKJfZ/6vU6ax4A/FnqwWC322G32+F2uxEIBBCPxzmFSCzXBlbjXHq9HqVSiXs2UFIrabbp6WmMjIygr68P5XIZDocDAwMDsFgsSKfTq5f2Qvi0DrG4S11UA6B20ilQ2rKdJMFms6Gvrw9WqxUAuEhudnaWE0jL5TKbNi6XCzabjf0UUbvQ0ziXy0Gr1XJzj3Q6zeXblIRKn6NFTrEfWZY56ZOSTfP5PH9OkiT09PTA6/XC5XJhYmICBoMBsViMz8tqtSIej2N5eVlRS0Q+FGk0rVaLfD7PGlCWZeTzeZw7dw7bt2+HxWLh1lwOhwPhcPj89V2rC2omF9pdY1lgR9UCJNUASO5wYzppn+bovcPhgM/n49oaMm2SySQv8FQqxcV1VqsV2WxWkQxqNptZe5ADLssyt97VaDTw+XwYGxuD0+lEqVTC7Ows08ONRoPNR9JIoolYKBRgNpt54ZNJpdVqYbfbMTQ0hIGBAWQyGczNzcFms7HGMplMcLlcnJVNQVSTyQSfz8dmKWWWS5LEAVcCdU9PD9xuN/R6fUuxXbNf2e66byZL/lIT1QCIZZMp9OJN1ul0cLlccLvdqNfrXA8TiUQAgAOjOp2OO/GQU05lBkajkc0/s9kMp9PJYPT5fFhYWMDi4iL7KiMjI7DZbMhkMkin04psZ0oUtVgs3HGHGLpqtQqDwYBgMIjXvOY1qFQqeO6553Dq1ClOt6H2WRaLhf83m83Ytm0bbDYb8vk8nn/+eeRyOS7qy+fzSKVS0Ol0bMIWCgU214hk8Xq9MBgMzD62k+asBDUCh0R9AAIUIFK8jPaAMhgM8Pl8cDqdvHASiQQSiQT7OEQrE31NZpTFYmF6l5oZLi0twWg0wmw2o1gswuFwIBAIcGpQKBSCLMsYGBhAqVRCNBpV1P4UCgUuy6b+CkQ6UGwqGAzC7XYjnU6zaUi0OGnF5eVlLu4rl8vI5XIIBoOo1WqcYU00OhEXlPmg0WiQyWQQi8W4VN3lcqGvrw8WiwW5XO78NV2HtGmKEakRROoEELCWiaDI3WoVyloW/R/yX6iaU6vVcj6cVqtFKpVCuVyGXq+H1+tFX18f8vk88vk8L9hCocB+BbWYotZTjUYD09PT3IAkm80yPU3HpyaJxWIRpVIJNpsNZrOZza9wOIxnn30W+XwepVKJNQItfgB8LGp9deLECZTLZX4QOJ1O7h5ksVjgcrkUZlmj0cDKygrS6TSKxSIsFgt6enoU1Dz7QU2l3WoESztRL4DOy3quKt1km82G3t5eNnkoeEndc2jBEYVMxXMOhwM2mw02mw2pVArz8/OsmYjRoq49BCjSJpQkStsCq6YkmXEUUCXtQblxtP9Go4FIJMJthDOZDDN7YvkDmWjEKs7PzzMBYjQaOSArSRKcTify+TxrMsqnIxPSZDLB4/HAarUqMiZWr/PGpd0KU04lAFMXgCTpgm+MVquF0+mE2+3mLGrqQQ2AWTDSCkQLWywWBINBbqxIo0XIJyKambRDuVzmxWk2m7Fz507o9XqcO3eOtRy1uRI7mFJGN3U4FSlws9kMl8sFnU6HbDbLPbcp4NqcN0cmWyaTYYBv27aNTVKj0YhwOIxMJsMBXTJFiUb3eDzcAbWZHt+Ur0MWQRdAL0NpvikbUKUU0PT5fPB4PFxKQF07rVYr8vk8axLKWvZ4PLwwK5UK94MjP4X+1+v1vDipFXAmk4FWq4XX62Vgkf9E7YEpXmS1Wnkb2geBnJg6Mguz2Sz7P319fYpMBfqu9P3IrKRJEC6XCxqNhn2xRCKBZDLJQV5Zljn51GazcWY27Xf10rdPHpWa/lYLcEjUBaA2slEzC6JnKfmT+qxRUFKsHnU6nUwLk29CExAkSeIFJ+a/kSYAVkslxsbGoNFocPLkSdYcdAyK1ZCvRc0USXNRWk+tVmN6vVgs8oQ7o9HIJEi7qlWxCC+Xy3HvBZ1Ox6lJ0WiUsyzsdjv32aZqWbPZzL7ieoO8pPPWgLrg0irqBZAY2KOX+K21HDKTyYTe3l5eFGTrO51OeDweZDIZ3rZcLvNoEfGJL1aO0hObEkwpaElJmf39/QiFQoonvF6vVzRVJPCRv0SNGCnVplqtIhKJoF6vcy9tr9fLAVjaloBDPp1I3ddqNSQSCciyDKPRyCwdBVMJkHa7nRnISqUCvV7fNh+uRfs0lzw03YtuIPUSkeYb1/xktlqtCAQCPCGO0nKotCCXy3EJAZEKZrOZK0NpoZBPISaHUpfQsbEx1gCkXWhRU3yHAARAMViY+s0VCgVO7Wk2z4iho1w9ahRPZEQ2m0WxWOTFL/Y3IJONgEcPAZ1Ox01UaFsCK6Ufbcbn6ZgNohJTTpUAkiSp80gT4Sms0Wjg8XgQCAQgSRLnhgFrhWY6nY4XnyRJ3PGTFhkFPcUCOdFUov5rVOFpMpngdrs5gEr9DShdR2ySSK/7/X5oNBoGBoGIQF0oFBAMBpHP51EsFpklo3oeys2jntmUC0fTGwBw0qnH4+EsDOq0SoRKPp/nTAiR3qdz7tQTgUDU3NRSDaJKAG0kdKO1Wi16enpgt9s51Yae2kQP2+12hMNh7sKTy+XaDq0qFAqoVCqKLjsEtkgkAlmW2VkPhUKsnYxGI/eoDofDnB1AxW+VSgXFYhF+vx8WiwWNRgM2m42HKicSCSYm/H4/YrEYXC4XADDNTB1KgTWtC4BBRqDUarVwOBzwer1YWlpi3ycSifDkCGCt5JyuJcl6ZQ4KTaQS8w1QEYDEJ9tGxAHdaIroU3yFIv0rKyvcfZSAQRWapKUog7p5UgLV7djtds6GzmQyXJ6wvLyMUCgEs9mM7du3w+FwwGKxIJFIcMCSuoqShiPGjAr0ent7YTabMTc3x6UIk5OTSKfTsNvtKBQKnJ5EgCVCw2KxwGazoVAoIJlMcjUs5dSVSiVYrVYMDAywr1UsFhEMBjmlyeVyMaCYfetgqynuhah5VAIi1QBosyISCGazGX19fZxMWiwWcebMGYRCIQDgtrYUIyLWiwreAHAwkp70olljt9v5yV8oFHgyArXbzefz3Eu7WCxyIqfYS5v8JmpTRTGcer2OXC7HGQilUgmxWIzHppAvJ46EJLOL2vsCq/l2BB7yyygnTqPRYHZ2Fv39/Yps7kAgAKfTqbimYrrOi1Jwd4mIagC02bIFUaxWK/x+P/sT6XQaoVAIS0tLHGehQVgGgwGVSgU2m421Ci14kTwgMkGv18PhcHCHHJqmAIDb7K6srMBmswFY7QZKxwLAC58CvT09PRxHKhaLHM+h/nHEEiYSCT4HMgcdDoei1qdSqTBo6PyJyCA/zOFwwG63sw8HrDGERPFTNsJ611jtUFINgAC0tPDd6ElIFDPlnZ0+fRrRaJRzz8hBp6FVlM5jt9vhdDoRi8U4jkNPfCp9IPBQe1/KS6OJc1S9msvlIMsyzGYzfD4fJGm1MxBlNtCkb+oy6nA4mBSgjHB6+lPmQrlcRiwWY+1INUO5XI6n4tEPkSA01YHIBepeSvGfyclJDA8Po7e3lx8OYkNIUTqZ0O3InUtd1AWgCxB6EqfTaU4crdfr2LFjB6LRKBKJBM/8SaVSSKVSMJlM8Hq9vA/KCqjX63C73Ux9Ly4uIpfL4cyZM4oe1WJTeAAciLXZbHA6nXC5XFxdajabWVOIoyCNRiOSySQzeCRESdMxstksa8ZsNguv14uenh4u4mseW0LJspQiRH4fmWqZTAapVIofAGK/OvEcgNbsAzVrIdUASHGTBD8H6GyXl0olxONxNoWcTifTufSEp5gQ5cfFYjGkUilFe12z2czl3eTMk3lHxW+U4yaeCy14yjfT6XSwWq3MCOp0Ou7WQ4AnIDbPXBU7moqv6/V65PN5nDhxAkNDQwwIcSBysVhUTJeoVqtc00Q9wanZIsWNqJtPO9qaRG76X42iGgC1k5buOwJTRIHDdDqNeDyOSCSCqakpLCwsMEAoU4Fo4+ZFSz4B+RNnz57FmTNnOCBJWdBitx0RyMTYud1u9Pb2cj4amZF0PAI1ADYXKedOjBkRgIiSpqHCsiwjFArh9OnTPO7RaDRyHIhGPjYaDZ6p6nK5UCwWWUNTMZ3H40GlUuGmkus1E2nJPlDenK3f4JeBqBpALdKmXqVcLuPkyZN44YUXEI1GFX2naTsKoubzeWbsxETRTCaDhYUFnDt3DpVKBb29vbDb7cjn80gkElwXJHb2pNw6n88Hl8vF/dsoF4/GK1KaEDWVdzgcsFqtKBaLPNNUnBVEppjf78eePXvYbPv1r3+NpaUl/g5Upg1AAW4iFnK5HHcdMhqN8Pl8CAaDioCt4jpdTIMRFYhqACTeEjHrYPUFqa0dXq/XsbCwoGi8AYCTNsm0o22px5rNZoPb7eY+CVRAV6vVMD4+juuvvx5msxkzMzN45pln+HjiZDqn04mBgQFOYl1aWuL4E6UBUSCWFjhR0fQZAk0qlVKUhFN2t9/vx8DAANPxZPoRg0cBVPF7k98kFueVy2UO1ool7520j9r9HlFUAyBRNkqbJzOqXC5jbm6OSwvIPKKEUAIQVX3SUzmXy3HqPzn31DNhaGgI+/fv59EiR48eZY0jmlbDw8MYGhriwCclrVLLLHGsiTgBnLIkqNMPaR0CGQEtFothcnKSh4PFYrEW0oAIDvJlqDiQklJJQ1FNEwEnkUgwld5y7dtUAvN1F++PSkSVAFJI842U1m5yrVZDPB5vqQp1OBz8PhWgEWUtLkAChMiAhcNhzM7Owmw24/nnn+esALPZzM0QLRYLfD4fl0ZTBgJpHnqyi7EgOhfKxzMajUxrNxoN1oTlchmlUgmZTAYnTpxgJpCys0Vp9snE5FUATBoQXS1W6rrdbr42cruyBblDXwoVmW+AmgHUKQbEVt3q4qfmHQQE0TwrFotcMxOPxwFAAaC1Q6057/Pz8/jhD38IrVaLpaUl1hjk0FPZeD6f5xjSysoKZyIQmCmzgfLhSPvkcjmkUilucEi94np7e1Eul1EoFBCJRFAul1nriXQ7gUbs103nTuQEBVNdLheXeYu0ODF3pPlqtdqaydamjKTT32oQ9QJoE2IymRAIBDA0NAS9Xo9CocCgonoZqsSkRd3M7NGCpORTvV7PNDaVOxiNRthsNs64pqHB4XCYc82AtaI9otFpIVOaDaXvTE1NweVycVoO+TxGo5HpeGLpKL4l9ruTJIm3JY1HYItEIpzoOjQ0hP7+fmQyGU45CoVCDE5iAV/J8ooFEJldlJ3s8/lgNBrZIafWTbOzs5yJIPZKoJICApTFYoHdbldQzDabjds/UayHNFI+n0c8Hocsy9wymIKYYnYA7atUKjEzRzElKsmmRFXSVA6Hg/PgaF4rMXtEsdtsNoVJSoQI+WI0mLinpwd6vR7FYhGpVAqLi4t8jTKZTMdhXxtpG7XUqqoHQJ1s66ZIufjELJVKOHfuHKrVKvr7+zE0NAQA3CuNkkdpzDtphNXdrvkipVJJ0ShebJ1LJAE58FQSQTNKxWbzxH55PB7YbDZe7FQxGgqF2JSUJIk1plheUSwWOb+Nyg5ICxGQaPE3ZzKQjwWsNmecnJyEJEnw+XwMMAoki8FcYJPmmaJGSB2aSz0A2kAoN47TTc7Tt8lkklkmnU4Hi8UCo9GISCSCubk5zkkjjUVmHH2ezCECAf2Qr0A+Vi6XQzqdVpRBkFlGZpper+e5PkajkcFK/bVJuy0tLbGW0mg0itgOJZXSPqnFFX1HAoo4saGdEMjIvKS6JKLryY/iMZbidRZ+X7sB6tA4zaJ+AAmxIFnx8lrLWeoLPTAwwNnWNPtHLNturrgU540SEMRuNURMkKlH2owWHznlVCpN/bkpKZU+D4DNSrfbzdPlCCCkccgnIx+KfqeeC5RTJ1bRitehudydJlHQMagwjxJqRTOuLRhVChpR1A8gEloowku0kAHwU9vv9yORSCAajbY0jxc/RyI2Oszn8xw7odJqoqbT6TRrLPoRzTdgzU8C1mjyZqaMzCbKmiaNSSQIaVLSmPS9bDYbpwVRHRHVLVECqliaQHGiRCLBvSIo48Hr9WJiYgKlUgmnT59mKhvY/EQMtYhqAbRRYZfYUJGetPV6Hdlslp3pdg4y9SmgHm309KYOORTQFIFFdDWxdeIQYdGUItCQ+SdqBgI6BVG1Wi1cLhc3CRFLyammSDRNZVnmhU6FfgQIChJTpyES0jDpdBoul4ubQm7btg3bt29n2nxqakpR1sAmnHj9VaqNVAsg8emtKPU+/xothP7+fh7jSJnGovZpBiJRxg6HA2azWTGrlIBE5dhUJiEmaZL5I0b5k8kk1+2IfeTaicPhQDAYRLVa5bodEXSyLHPpNcWxjEYjm3CUZZDP57nUnBhGeoCIWpeK9Gw2G/cQHxwc5FGY2WxW4ZNtJlCqpsYiqgUQSbsbRdR1IBBAf38/P33Jl6GeBO2E2j1RQinljwHgUSQUH6FtKbvB4XBwjZHJZOJG9KSdCFQEXGK6xDQgIjoKhQJ3PxVHQorDwMRycAp8UqCUNBmZcZQpISax0rlQTzuxCUkkEsG1117bMnhYAY4OIFELeACVA2gjlomKw2q1GjeKp4UIKLUY/S2WAQBrw4Ipi8FkMnHcyOFwcAP5Wq3GXW7IBKT8Ob/fz+dD4KMRK9RBtKenh8edEOkAgCeJE5FAmkSMXdG52mw2NjvFa0TpRhaLBZlMhn0h8qMqlQoCgQACgQBOnjyJUCgEm83Gw4jFAcadHlhqAo0oqgEQBeY6xheaFk0ul8Py8rLCDKNFTxRz800nX4NAQywYlU5TDRBpAmrYQZqkUqlwLzex7xuBRmwiT9McKHWHzDQqaRAbyJPDT619aUGThqLG8OQniRMZKPmUug2Ji51MQhHUoVCI93P8+HFMTk6ytlPeD+U1V6uoZkq3dP6ffP5fizQtinK5jJmZGczMzPCTP5vNcpImLZpm/4dSeug9WphUPEfxGACcBUAahxY6AY/AA6wV1wHKlsOBQIBnC1G2AmlKkQ4nE0/Msib/htpZUXJouVxWkAVEMtCDgc6B/rZYLLBarTxyxe12I5VK4dixYwiHwx0n1dF1bwFXhzKIS1FUo4E2IxKgeCoWCgWcO3eOFyuZaD09PbxgxE6hYrSfTCQyiUSAUFspMsuoIw71GSCN0JwJTeYeLUiawk1AoECqmF1An6WYkQhaKocgooFqgMQUHzJh6buKpAiwCmzq90BxL7PZjHg8jkwmozQHgXXzC2TIq485FWkm1WigjpoHWC2oa/Jl6H/qWUALXKPRYHR0lLt7ikVqVJ5NQ6fEcSa0UGlftPjJVBNbXxF93G4ECfkwogag+JDI5FEMSTS5iJomrSRqOtI8lBxLuXEUOwLQtkWVyWTCyMgIPB6P4hg9PT247LLL0Nvbu2YSbnCP1JK+I4pqAHQhQgtOq9VyYRsFEh0OB4aHhzE8PMz+ipi2IrbJFeM2tPjoqd9cmEcgIwCRKSeCmWJH9De1yCJgkzQHYEUWkLIhCJy0P9JYIrtHRYTEyBHoxe/s8/mwfft2mM1mTmQ9c+YMjz9pJgja1ga1uwcqCbe+Mky4pptKi4r6VgOrlaButxulUgmDg4PYsWMHTp8+zYBpDnhWKhUF3U0LifwjatwhmnGiWUeZCnq9nhe+mKVA5hhVoopFduTXEGhJe4r5cWJptjgahTK7xZmqREiQZqTjabVajI2NYceOHcwkyrKM2dlZxONxLuRj1m71Qmzidsiqqfl+RWogYC37eGlpCS+88AIWFha4Pa7JZMKuXbswMjLCpAFR2/QEJ39C7OZJT2jyJygGAyjpZtI2lGdHGoTYO8oOoKkQ4jmIfplo8hFA6BgklCFBGraZ7RM7looZ1pK0Wjm7Y8cODA4Osgakz0YiEe7LDbRJ35HljnEgNflArwwN1CSis0sAoABjuVyGVqvF6Ogo9u/fj4WFBSwuLrZNmCQtROaU2ICEIv9igJN6LohmlEgf0/Gz2SwqlQoXxonN5inGQyAiYBEBQEQDsPaQEI9Hmk0ENGkqKhsn7dPb24vh4WEAwLlz55BOpxWZ6eL1VJQqSOrrQNpJXpEAgixznpaEtYAhdQqNxWK44oorsG/fPl446XRa4TvR4iStQ9kA9B4Bi9gzaoFFi1xciKRVarUaIpEI8vk8PB4P74tMPrFjKDF95K+QiSimAhH1Dax1YiWNRPsgoe9BWspms2HPnj3Ytm0bYrEYZmZmuPRj7TK+MvoerCfqNOHkC7+JlDiZyWQwPT2NfD6PkZERXH/99ZiYmGA/gUwecZHSogbATBtpJzGIScCSZZkXu3h8Ko2gjjsiVZ3P55FKpZDNZiHLMue10fQ8ij2Rv0bBUcq6pnMtFotc40OgJ5ORTEqDwYCJiQm87nWvQyAQwOLiImKxGJe4K/pB0I+kLnp6s6JKDaS4kc03VUgOba4PymQyiMfjWFxcxJkzZ3D55Zfjsssuw6tf/WrEYjGEQiE2yejJL842FQkAIgvI9BLLrglUtOjp82RG0ncQk0EpG7pcLvOEOTIb6YcATvEq0kBkoomakfZLZiHNQdLr9ejt7cVNN92EvXv3olwu4+zZs4jH40gkEi3NVDZzL9aSeWXVUdmqBJBCNqmJ6Cm8vLwMr9eL48ePw2q1YseOHXj961+PWq2Gn/3sZ4jFYlysRguV/AeFXyBkZlOmAqXVkMYi00tMrSHN05xvR4FMSggVg6C0jWhCirU+9DsxeSaTiStciV2jeJDH48FNN92EN7zhDbDZbHjmmWewuLiI5eVlZDKZtvVR9H3PfwnVli60E/UDqI3Q7W2e2k3tq5aXl+F2u7G0tASXy4VgMIjbb78dFosFjz32GGdQA2CfQwSQSDuLzjtRxuTI02doe7G4j1rvimCg8SUEPLEwjxg/0orNY0cI5AAUfRtqtRqPS7FYLHjta1+LN73pTRgaGsL09DSef/55LC0tYXl5uWOGungNW1pZCSlUajTxXpEAar6N4kIrl8tYWFiA1+vF/Pw8/H4/JiYm4Pf7cfjwYczNzSn6KFB7KLHhCLAW7CQSgIBDZhYARXxJNLloIBexe8QUEggJmGKmgUhFi9uLRIUYs6Kgbjab5ZjO3r178Za3vIVz3U6cOIFQKISFhQWF9ukEBLkNda3G9B1RXlEA2jCt/vw9zmQymJmZgcfjweLiIqLRKEZHRzExMYHbbrsN4XAYR48e5fEn1HOAwEAaoZkNI5+HtA75RaJPRZqhUChwAw+ajGe1Wlnjid14CDT0/ZozDgAwgOi4krTafIQeBsPDw/iDP/gD9Pf3IxwOY2VlBdPT0wiFQohEImxyNmcdvNJFlQDq5Kw216y0PBXPB4gajQYikQimp6d5WLAsy9i+fTv27NmDW2+9FclkEmfPnkU2m4XVauWeAeJ+ySQjLSSm1xAFLnbOId8GWEu9oY47BEjKcgDW4lDULosyHUQyQyQUyuUyTCYTl0Ukk0nk83kEAgEcPnwYr3rVq+Dz+XjUy+LiIubm5niKnsi0rREDTdL1gV5Z0rwgSMrlMs6dO8eVp0ajER6PBz09PbjxxhsRjUbx6KOPcmdRSpEhNk0sC6D9UxqOSAJQXEX0YQhMlPEttskSNQ4xes1lCKKmID+HYj/E3GUyGSSTSXi9Xtx666246aab0NPTg1AohMnJSYRCIZ4CLmZhkHSESBvwqCXvrZ2oBkASWlszbUZaFoXwdzabxalTp5gp6+3txaFDhzA4OIibb74ZiUQCP/nJTxCNRpkaJn9HXPDiICyxPkic7EDpNlR6QOclBkcJSBTPqdVq7AOJ5ht9LzHRlTSgVqtFKpVCPB6HxWLBwYMHceDAAQwODiKRSOCpp57CCy+8gLm5OczPz3ecgSpcwM7XVsXAIVENgDYSNuua6ldEaYYeJUueOXMGbrcbZ8+exVVXXcWDpt72trcBAH70ox8hkUhwBxtqVk/0tNg5VGSyiEwQzToaY08zeQBwyYWYhkNsnFisR0OvRFaPzDfSVNRxSKPRYHh4GOPj49zjbWpqCnNzc1hcXMTU1JSCOGgLhVeQqdZJVAMgGetn+LJPJMYr+MNtXsNayXMikUAkEkEkEsGxY8d4goNWq8Xhw4cRi8Xw9NNPI5/PIxKJ8BAs0h5iMZ4YnyGNQhqOtAXNI6KFTgARk1YpI4K0itjbTYwFUdIqga5Wq8Fut2Pnzp1c50O98E6fPo1QKISZmRnF0K6mi9ICnHbB0leC9gFUBKCLljaskui3SJKEUqmE+fl59Pb24ujRowCA66+/nlkxn8+HHTt2IBKJIJVK8VgTr9cLq9XKmogWtZi4SSYYTXcgSpoCoADYxCuXy4oMBvE8RU1DhAGl5ySTSabce3t7MTExgUOHDsHv9+PKK6+EXq/H1NQU5ufnOeugLXg6XkJlz+tXCngAFQKo+eZ1TB1Zz3Y/nyQpJpqGw2EcP36c/zaZTLj22msxPj6Oq6++GhaLBXNzcwygUCiEVCoFh8MBp9PJExOa2/WKNURihSrVIZlMJm7YSP0QCChiqQNNbKDSBpqmR6abw+FAIBBAT08Penp64PF4cPXVV8NgMODYsWM4evQoZmZmsLS0pJhAsXpNu9JJVAegZmmmtDeMBfEH1zK2cX6Bzs3NsVZ4+umnUS6XceWVV+Lw4cMYGxvDj370I54+l0gkMD8/j3A4jFgsBo/Hw910qIsPsEZXk+lVq9W4Ew8dK5vN8tSFZDKpiBmJ8Z7mH+pH5/f7EQwGMT4+jtHRUYyNjWFoaAilUgn/8z//g+eeew7T09OYmZnh2afrivBwaXe9eTNIbV9Xk6gKQHTD1vKyWrfZSvCvXC5jfn6eTapCoYCFhQVcffXVGB8fxxve8AaEQiGezTM5OYnf/va3mJmZ4fH11DqLBm6JsSmqD0qn00ilUopGIaVSiYkB0gyiBiPTj5o5+nw+DA0N8bSH3bt3Y+fOnejp6UE+n8fU1BSOHTuGs2fPIhwO4/Tp0zxHFehM7/N1bPvaJrqS0j1SCaAkWSXhZJvdtm6mL98w5gs2SXefd5rF7amv9tjYGMbHxzEwMIA9e/Zg37598Hg8kCQJ6XQap0+fxvz8PJ5//nnMz89jfn4eiUSipT0WaSMxlYdqhyhmRJQ3mZDE3In+U19fH8bHxzE0NITBwUH4/X64XC54vV643W5ks1nMzMzg+PHjmJ2dRTqdxsrKCs6dO8fgWW85dOq9txEY2ga1ISOXzW3uHryM5RUDIOD8jZZbg43N0tzfgF4D1ogFSuj0+XzYuXMnJiYmsH37drzmNa/B2NgYDAYDCoUCYrEYVlZWUK1WMT8/j2effRaLi4tIJBKcCSBqEpHIoHofiv0A4CRU6tbjdDoRCAQwMjKC/fv3Y9u2bahWq+x75fN5LC8vY35+HlNTUwiFQlxbND8/j0gkohjhsnqd6Jf2JtrFAqj5mmez2XU/dymIqgBE0glIBCBga3X54mfJQd+5cyd27tyJYDCIXbt24fLLL4ff71fQ1NSofXl5GcvLy5ibm8PCwgKPahS76tBQYprAQAFXKqrTaDSw2+3o7e1FMBiEx+NhsqJcLiMWi+H06dM4ceIElpeXmRrPZrNYWVlBOBxWNNAH2phr66TltAPNZmp9xHLv7Pk416UsqgdQJ6f2okQoA1/d91o1ptVqxfj4OHbt2gWPxwOfzwePxwO73Y6xsTH09/dzTzfKHKCxIlarFQA4zkPdTcU+1pSqQ/Q3AAVzJ8aryGxcWFhALpfjNsGJRAKxWAy5XI41GoTv0gIWEUDC76ssZZvLc4HXt6uBXkYiAqiTXBSAmhdRyz7XzDqTyYT+/n5MTEygp6eHF7fJZILD4YDb7YbNZoPf78fg4CD6+vq4Gymw5gMRsERT0ufz8TSFTCbDIyPz+TwPzQqHw1hcXEQ8HufmJEtLS4hGoxxMFeNLF5v4SQBa70Elmr+dzL6uD/Qyks0ACFgfRJvKpWsHKOFzWq2W5+j09vbC4/EoGjSShiHzy+v1MtuWSqWQy+XY3KL96fV6eL1e+Hw+lEolhEIhBk9zjQ7NMo1EIlhcXEQymeTaIPqOW5V2ZILCpGuuWOwgXQC9jGSzACJpd/MvWEMJYGv+JHXfobQfGnVCjFlzXwMArB2aQSxOgxAzDkTyodFYnYsaiUQQi8UULahaSg/EW74JLfS7opy7AHoZyYUCCGiNSTSDakNACRpI+bIycCtO79bpdDCZTHA6nez4i+XZ1J9AbGBPbJxOp0O5XEY+n1f0taZSb2rGKPawIz+Nfn85ZU93AfQykosBULNclAbqdPmaCAdgjQig3ymvTczaFntnk7lHZpxYmkDZBs0smkLbbOLWNj8oXkoQqQFAqspEeClEoa0u8Nkj9kygpFJqjcv7F8AgVpW2PZfmOp02jNl60omKVkuWwEshXQAJsmnKWz7/5F6PcGgiGuQmv4PYu3Uj/xfr+K+TYc6vdwBJFzwXJl0AdZB1/aILsPQUqf5CELGTQy/uumUpXyCQ1tNe7TRNFzwXLl0AXYBsNRArmlgKx35tg/ZL+CKzJjqCh0zD9UZidmVT0gXQ70M6AWWd7S8WRLwLQaOqhDd6WUgXQBvIxeZ8NX923fy8DvveiLDo2L5rk/Dsap6ti2po7K505fch6hxv0pWuvETSBVBXurIF6QKoK13ZgnQB1JWubEG6AOpKV7YgXQB1pStbkC6AutKVLUgXQF3pyhakC6CudGUL8v8BTWNIl4fDL60AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "visualize_model(model_ft)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vJTTbA44zhFi"
      },
      "source": [
        "## ConvNet as fixed feature extractor\n",
        "\n",
        "Here, we need to freeze all the network except the final layer. We need\n",
        "to set ``requires_grad = False`` to freeze the parameters so that the\n",
        "gradients are not computed in ``backward()``.\n",
        "\n",
        "You can read more about this in the documentation\n",
        "[here](https://pytorch.org/docs/notes/autograd.html#excluding-subgraphs-from-backward)_.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "EJnsmCCozhFi"
      },
      "outputs": [],
      "source": [
        "model_conv = torchvision.models.resnet50(weights='IMAGENET1K_V1')\n",
        "for param in model_conv.parameters():\n",
        "    param.requires_grad = False\n",
        "\n",
        "# Parameters of newly constructed modules have requires_grad=True by default\n",
        "num_ftrs = model_conv.fc.in_features\n",
        "model_conv.fc = nn.Linear(num_ftrs, 44)\n",
        "\n",
        "model_conv = model_conv.to(device)\n",
        "\n",
        "criterion = nn.CrossEntropyLoss()\n",
        "\n",
        "# Observe that only parameters of final layer are being optimized as\n",
        "# opposed to before.\n",
        "optimizer_conv = optim.SGD(model_conv.fc.parameters(), lr=0.001, momentum=0.9)\n",
        "\n",
        "# Decay LR by a factor of 0.1 every 7 epochs\n",
        "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dUP9Jp1EzhFi"
      },
      "source": [
        "### Train and evaluate\n",
        "\n",
        "On CPU this will take about half the time compared to previous scenario.\n",
        "This is expected as gradients don't need to be computed for most of the\n",
        "network. However, forward does need to be computed.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "E3W00L61zhFi",
        "outputId": "6d57ee10-66b0-4e65-c0c6-3523f921b04f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 0/9\n",
            "----------\n",
            "train Loss: 3.2972 Acc: 0.1546\n",
            "val Loss: 2.8576 Acc: 0.2914\n",
            "\n",
            "Epoch 1/9\n",
            "----------\n",
            "train Loss: 2.8151 Acc: 0.2985\n",
            "val Loss: 2.4458 Acc: 0.4315\n",
            "\n",
            "Epoch 2/9\n",
            "----------\n",
            "train Loss: 2.5662 Acc: 0.3666\n",
            "val Loss: 2.2110 Acc: 0.4638\n",
            "\n",
            "Epoch 3/9\n",
            "----------\n",
            "train Loss: 2.3644 Acc: 0.4001\n",
            "val Loss: 2.0647 Acc: 0.4806\n",
            "\n",
            "Epoch 4/9\n",
            "----------\n",
            "train Loss: 2.2418 Acc: 0.4239\n",
            "val Loss: 1.9507 Acc: 0.4955\n",
            "\n",
            "Epoch 5/9\n",
            "----------\n",
            "train Loss: 2.1370 Acc: 0.4603\n",
            "val Loss: 1.8549 Acc: 0.5248\n",
            "\n",
            "Epoch 6/9\n",
            "----------\n",
            "train Loss: 2.0883 Acc: 0.4581\n",
            "val Loss: 1.8008 Acc: 0.5368\n",
            "\n",
            "Epoch 7/9\n",
            "----------\n",
            "train Loss: 1.9554 Acc: 0.4963\n",
            "val Loss: 1.7568 Acc: 0.5482\n",
            "\n",
            "Epoch 8/9\n",
            "----------\n",
            "train Loss: 1.9615 Acc: 0.4970\n",
            "val Loss: 1.7652 Acc: 0.5458\n",
            "\n",
            "Epoch 9/9\n",
            "----------\n",
            "train Loss: 1.9856 Acc: 0.4717\n",
            "val Loss: 1.7534 Acc: 0.5470\n",
            "\n",
            "Training complete in 14m 53s\n",
            "Best val Acc: 0.548175\n"
          ]
        }
      ],
      "source": [
        "model_conv = train_model(model_conv, criterion, optimizer_conv,\n",
        "                         exp_lr_scheduler, num_epochs=10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 923
        },
        "id": "xI_eFV3rzhFj",
        "outputId": "affc413d-12ad-44d3-ff4c-0681508198f4"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "visualize_model(model_conv)\n",
        "\n",
        "plt.ioff()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oGyX6XpFzhFj"
      },
      "source": [
        "## Inference on custom images\n",
        "\n",
        "Use the trained model to make predictions on custom images and visualize\n",
        "the predicted class labels along with the images.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "PSVIq1DLzhFj"
      },
      "outputs": [],
      "source": [
        "def visualize_model_predictions(model,img_path):\n",
        "    was_training = model.training\n",
        "    model.eval()\n",
        "\n",
        "    img = Image.open(img_path)\n",
        "    img = data_transforms['val'](img)\n",
        "    img = img.unsqueeze(0)\n",
        "    img = img.to(device)\n",
        "\n",
        "    with torch.no_grad():\n",
        "        outputs = model(img)\n",
        "        _, preds = torch.max(outputs, 1)\n",
        "\n",
        "        ax = plt.subplot(2,2,1)\n",
        "        ax.axis('off')\n",
        "        ax.set_title(f'Predicted: {class_names[preds[0]]}')\n",
        "        imshow(img.cpu().data[0])\n",
        "\n",
        "        model.train(mode=was_training)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 408
        },
        "id": "5vggKlbTzhFj",
        "outputId": "a9ba83b0-e87d-433b-e24d-523e32e4db93"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "RuntimeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-15-112b4a2928b3>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m visualize_model_predictions(\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mmodel_conv\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mimg_path\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'/content/drive/MyDrive/Colab Notebooks/data/44 Class 4478 Brain Tumor Images Split 0.627 Shuffle Rename/val/Astrocitoma T1C+/150 - IMG-0007-00014_big_gallery.jpeg'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m )\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m<ipython-input-14-1b5d11e5c94d>\u001b[0m in \u001b[0;36mvisualize_model_predictions\u001b[0;34m(model, img_path)\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg_path\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m     \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata_transforms\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'val'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munsqueeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torchvision/transforms/transforms.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, img)\u001b[0m\n\u001b[1;32m     93\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     94\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mt\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransforms\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 95\u001b[0;31m             \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     96\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mimg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     97\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1499\u001b[0m                 \u001b[0;32mor\u001b[0m \u001b[0m_global_backward_pre_hooks\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0m_global_backward_hooks\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1500\u001b[0m                 or _global_forward_hooks or _global_forward_pre_hooks):\n\u001b[0;32m-> 1501\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mforward_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1502\u001b[0m         \u001b[0;31m# Do not call functions when jit is used\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1503\u001b[0m         \u001b[0mfull_backward_hooks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnon_full_backward_hooks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torchvision/transforms/transforms.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, tensor)\u001b[0m\n\u001b[1;32m    275\u001b[0m             \u001b[0mTensor\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mNormalized\u001b[0m \u001b[0mTensor\u001b[0m \u001b[0mimage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    276\u001b[0m         \"\"\"\n\u001b[0;32m--> 277\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mF\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnormalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minplace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    278\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    279\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__repr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torchvision/transforms/functional.py\u001b[0m in \u001b[0;36mnormalize\u001b[0;34m(tensor, mean, std, inplace)\u001b[0m\n\u001b[1;32m    361\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"img should be Tensor Image. Got {type(tensor)}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    362\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 363\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mF_t\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnormalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtensor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmean\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mstd\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minplace\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    364\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    365\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_tensor.py\u001b[0m in \u001b[0;36mnormalize\u001b[0;34m(tensor, mean, std, inplace)\u001b[0m\n\u001b[1;32m    926\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mstd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    927\u001b[0m         \u001b[0mstd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mview\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 928\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mtensor\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msub_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiv_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    930\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mRuntimeError\u001b[0m: output with shape [1, 224, 224] doesn't match the broadcast shape [3, 224, 224]"
          ]
        }
      ],
      "source": [
        "visualize_model_predictions(\n",
        "    model_conv,\n",
        "    img_path='/content/drive/MyDrive/Colab Notebooks/data/44 Class 4478 Brain Tumor Images Split 0.627 Shuffle Rename/val/Astrocitoma T1C+/150 - IMG-0007-00014_big_gallery.jpeg'\n",
        ")\n",
        "\n",
        "plt.ioff()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HtpVRKGBzhFj"
      },
      "source": [
        "## Further Learning\n",
        "\n",
        "If you would like to learn more about the applications of transfer learning,\n",
        "checkout our [Quantized Transfer Learning for Computer Vision Tutorial](https://pytorch.org/tutorials/intermediate/quantized_transfer_learning_tutorial.html).\n",
        "\n",
        "\n",
        "\n"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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"
    },
    "colab": {
      "provenance": [],
      "machine_shape": "hm"
    },
    "accelerator": "TPU"
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  "nbformat": 4,
  "nbformat_minor": 0
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