08_CV_CNNs_PyTorch_p3.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Kdm1SiuzZV0"
      },
      "source": [
        "# **Convolutional Neural Network (CNN)**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "h9H33x6rzsEg"
      },
      "source": [
        "### **1. Imports**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "aprAQr3620Bb",
        "outputId": "556b6c5c-3213-40d5-b8ff-3b69504d71e0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]\n",
            "2.3.0+cu121\n",
            "0.18.0+cu121\n"
          ]
        }
      ],
      "source": [
        "# imports\n",
        "import torch\n",
        "from torch import nn\n",
        "from torch.utils.data import DataLoader\n",
        "\n",
        "import torchvision\n",
        "from torchvision import datasets\n",
        "from torchvision.transforms import ToTensor\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from timeit import default_timer as timer\n",
        "from tqdm.auto import tqdm\n",
        "\n",
        "# checking verions\n",
        "import sys\n",
        "print(sys.version) # python\n",
        "print(torch.__version__)\n",
        "print(torchvision.__version__)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tamJd2o44z9R"
      },
      "source": [
        "### **2. Manual Seed**\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "7xK6livy4l_J"
      },
      "outputs": [],
      "source": [
        "torch.manual_seed(42)\n",
        "torch.cuda.manual_seed(42)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e95kp1KP3lzZ"
      },
      "source": [
        "### **3. DataSets(`FashionMNIST`)**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mZacL4-W4x7o",
        "outputId": "0c66fa2f-be26-4491-ff73-d7d09ea3e373"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz to data/FashionMNIST/raw/train-images-idx3-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 26421880/26421880 [00:02<00:00, 12475881.56it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/FashionMNIST/raw/train-images-idx3-ubyte.gz to data/FashionMNIST/raw\n",
            "\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw/train-labels-idx1-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 29515/29515 [00:00<00:00, 207653.44it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/FashionMNIST/raw/train-labels-idx1-ubyte.gz to data/FashionMNIST/raw\n",
            "\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-images-idx3-ubyte.gz to data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 4422102/4422102 [00:01<00:00, 3725484.27it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/FashionMNIST/raw/t10k-images-idx3-ubyte.gz to data/FashionMNIST/raw\n",
            "\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz\n",
            "Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/t10k-labels-idx1-ubyte.gz to data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 5148/5148 [00:00<00:00, 22657163.69it/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Extracting data/FashionMNIST/raw/t10k-labels-idx1-ubyte.gz to data/FashionMNIST/raw\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# FashionMNIST\n",
        "train_data = datasets.FashionMNIST(\n",
        "    root=\"data\",\n",
        "    train=True,\n",
        "    download=True,\n",
        "    transform=ToTensor(),\n",
        "    target_transform=None\n",
        ")\n",
        "\n",
        "test_data = datasets.FashionMNIST(\n",
        "    root=\"data\",\n",
        "    train=False,\n",
        "    download=True,\n",
        "    transform=ToTensor(),\n",
        "    target_transform=None\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XzaVNB8I7Zg0"
      },
      "source": [
        "### **4. Checking `Shape`/`Size`**\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lDmmorb65_lI",
        "outputId": "4b576370-3858-425e-deb8-99ac5e9bac67"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Dataset FashionMNIST\n",
              "     Number of datapoints: 60000\n",
              "     Root location: data\n",
              "     Split: Train\n",
              "     StandardTransform\n",
              " Transform: ToTensor(),\n",
              " Dataset FashionMNIST\n",
              "     Number of datapoints: 10000\n",
              "     Root location: data\n",
              "     Split: Test\n",
              "     StandardTransform\n",
              " Transform: ToTensor())"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "train_data, test_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ad8RXTRD6CD5",
        "outputId": "d6326343-5f8b-4e96-9332-798706345f9f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "torch.Size([1, 28, 28])\n",
            "torch.Size([28, 28])\n",
            "torch.Size([1, 1, 28, 28])\n",
            "9\n"
          ]
        }
      ],
      "source": [
        "# Access the first element of train_data\n",
        "train_data[0]\n",
        "\n",
        "# Unpack the first element of train_data into `image` and `label` variables\n",
        "image, label = train_data[0]\n",
        "\n",
        "# Print the shape of the image tensor\n",
        "print(image.shape)\n",
        "\n",
        "# NOTE: It does not remove the color channel\n",
        "# Removes any single-dimensional entries from the shape of the image tensor\n",
        "print(image.squeeze().shape)\n",
        "\n",
        "# Adding a new dimension at dim=0 (batch dimension)\n",
        "print(image.unsqueeze(dim=0).shape)\n",
        "\n",
        "# Print the label associated with the image\n",
        "print(label)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NX2N-Yib6iH4",
        "outputId": "3f45d04b-b499-43d9-af61-79513df9c292"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat', 'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']\n",
            "{'T-shirt/top': 0, 'Trouser': 1, 'Pullover': 2, 'Dress': 3, 'Coat': 4, 'Sandal': 5, 'Shirt': 6, 'Sneaker': 7, 'Bag': 8, 'Ankle boot': 9}\n",
            "tensor([9, 0, 0,  ..., 3, 0, 5])\n"
          ]
        }
      ],
      "source": [
        "class_names = train_data.classes\n",
        "print(class_names)\n",
        "\n",
        "class_to_idx = train_data.class_to_idx\n",
        "print(class_to_idx)\n",
        "\n",
        "print(train_data.targets)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sg3aK9eY-hUm"
      },
      "source": [
        "### **5. Visualizing the data Sample**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "aCKBgyId67tp",
        "outputId": "40e9cad1-a407-4643-a111-f251f57fd9b8"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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4QQABAJwggAAAThBAAAAnCCAAgBMEEADACQIIAOAEAQQAcIIAAgA4QQABAJwggAAATviMl/a/zai8vFyBQMD1NNBMvHapbilevh12795tXZOenm5d44XX9b5w4YJ1TW1tradj2aqurrauaWho8HSsDz74wLrGS7duL+s9ZcoU6xpJ6tOnj3XNN77xDU/HCgaDio+Pv+rzXAEBAJwggAAAThBAAAAnCCAAgBMEEADACQIIAOAEAQQAcIIAAgA4QQABAJwggAAAThBAAAAnCCAAgBMdXE8AN5ZW1vu2SXzxxRfWNSkpKdY158+ft67x+/3WNZLUoYP9j4bY2FjrGi+NRWNiYqxrvDYjHT16tHXNHXfcYV0TEWF/LZCYmGhdI0mbNm3yVNccuAICADhBAAEAnCCAAABOEEAAACcIIACAEwQQAMAJAggA4AQBBABwggACADhBAAEAnCCAAABOEEAAACdoRgp8TZ06dbKu8dJ80ktNVVWVdY0kBYNB65qzZ89a16Snp1vXeGlo6/P5rGskb2vu5Xyor6+3rvHaYDUtLc1TXXPgCggA4AQBBABwwjqAduzYoalTpyo1NVU+n08bNmwIe94Yo6eeekopKSmKiYlRdna2Dh8+3FTzBQC0E9YBVFlZqWHDhmnFihVXfH7p0qVavny5Vq5cqffff1+dO3fW5MmTPX3wFACg/bK+CSEnJ0c5OTlXfM4Yo2XLlulHP/qRpk2bJkn6/e9/r6SkJG3YsEH333//15stAKDdaNLXgIqKilRSUqLs7OzQvkAgoMzMTO3ateuKNTU1NSovLw/bAADtX5MGUElJiSQpKSkpbH9SUlLouUvl5eUpEAiEttZ0iyAAoPk4vwtu8eLFCgaDoe348eOupwQAaAFNGkDJycmSpNLS0rD9paWloecu5ff7FR8fH7YBANq/Jg2gjIwMJScna+vWraF95eXlev/995WVldWUhwIAtHHWd8GdO3dOhYWFocdFRUU6cOCAunXrpl69emnBggX62c9+pv79+ysjI0M//vGPlZqaqunTpzflvAEAbZx1AO3du1fjx48PPV60aJEkafbs2Vq9erWefPJJVVZW6tFHH1VZWZnuvPNObdq0SR07dmy6WQMA2jyf8dLZrxmVl5crEAi4ngaaiZemkF4aQnpp7ihJsbGx1jX79++3rvGyDufPn7eu8fv91jWSVFxcbF1z6Wu/1+OOO+6wrvHS9NRLg1BJio6Otq6pqKiwrvHyM8/rDVtezvG5c+daja+vr9f+/fsVDAav+bq+87vgAAA3JgIIAOAEAQQAcIIAAgA4QQABAJwggAAAThBAAAAnCCAAgBMEEADACQIIAOAEAQQAcIIAAgA4QQABAJyw/jgG4Ovw0nw9MjLSusZrN+xZs2ZZ11zt036v5fTp09Y1MTEx1jUNDQ3WNZLUuXNn65q0tDTrmtraWusaLx2+6+rqrGskqUMH+x+RXv6dunfvbl2zYsUK6xpJuuWWW6xrvKzD9eAKCADgBAEEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcoBkpWpSXpoZeGlZ69dFHH1nX1NTUWNdERUVZ17RkU9bExETrmurqauuas2fPWtd4WbuOHTta10jemrJ+8cUX1jUnTpywrnnwwQetayTp2Wefta7ZvXu3p2M1hisgAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgBAEEAHDihm5G6vP5PNV5aQoZEWGf9V7mV1dXZ13T0NBgXePVhQsXWuxYXrz11lvWNZWVldY158+ft66Jjo62rjHGWNdI0unTp61rvHxfeGkS6uUc96qlvp+8rN3QoUOtayQpGAx6qmsOXAEBAJwggAAAThBAAAAnCCAAgBMEEADACQIIAOAEAQQAcIIAAgA4QQABAJwggAAAThBAAAAnCCAAgBPtphmpl2Z+9fX1no7V2htqtmZjxoyxrpk5c6Z1zahRo6xrJKmqqsq65uzZs9Y1XhqLduhg/+3q9Rz3sg5evgf9fr91jZcGpl6bsnpZBy+8nA/nzp3zdKwZM2ZY17zxxhuejtUYroAAAE4QQAAAJ6wDaMeOHZo6dapSU1Pl8/m0YcOGsOfnzJkjn88Xtk2ZMqWp5gsAaCesA6iyslLDhg3TihUrrjpmypQpOnnyZGh79dVXv9YkAQDtj/Wrmjk5OcrJybnmGL/fr+TkZM+TAgC0f83yGtD27duVmJiom266SfPmzbvmXUI1NTUqLy8P2wAA7V+TB9CUKVP0+9//Xlu3btUzzzyjgoIC5eTkXPV20Ly8PAUCgdCWlpbW1FMCALRCTf4+oPvvvz/05yFDhmjo0KHq27evtm/frokTJ142fvHixVq0aFHocXl5OSEEADeAZr8Nu0+fPkpISFBhYeEVn/f7/YqPjw/bAADtX7MH0IkTJ3T27FmlpKQ096EAAG2I9a/gzp07F3Y1U1RUpAMHDqhbt27q1q2bnn76ac2cOVPJyck6cuSInnzySfXr10+TJ09u0okDANo26wDau3evxo8fH3r85es3s2fP1gsvvKCDBw/qpZdeUllZmVJTUzVp0iT99Kc/9dTzCQDQfvmM1y59zaS8vFyBQMD1NJpct27drGtSU1Ota/r3798ix5G8NTUcMGCAdU1NTY11TUSEt98u19XVWdfExMRY1xQXF1vXREVFWdd4aXIpSd27d7euqa2tta7p1KmTdc3OnTuta2JjY61rJG/NcxsaGqxrgsGgdY2X80GSSktLrWsGDRrk6VjBYPCar+vTCw4A4AQBBABwggACADhBAAEAnCCAAABOEEAAACcIIACAEwQQAMAJAggA4AQBBABwggACADhBAAEAnCCAAABONPlHcrty++23W9f89Kc/9XSsHj16WNd06dLFuqa+vt66JjIy0rqmrKzMukaSLly4YF1TUVFhXeOly7LP57OukaTz589b13jpznzfffdZ1+zdu9e6Ji4uzrpG8taBPD093dOxbA0ZMsS6xus6HD9+3LqmqqrKusZLR3WvHb579+7tqa45cAUEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE602makERERVg0lly9fbn2MlJQU6xrJW5NQLzVemhp6ER0d7anOy9/JS7NPLwKBgKc6L40af/7zn1vXeFmHefPmWdcUFxdb10hSdXW1dc3WrVutaz799FPrmv79+1vXdO/e3bpG8tYINyoqyromIsL+WqCurs66RpJOnz7tqa45cAUEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE74jDHG9SS+qry8XIFAQA899JBVk0wvDSGPHDliXSNJsbGxLVLj9/uta7zw0jxR8tbw8/jx49Y1Xhpq9ujRw7pG8tYUMjk52bpm+vTp1jUdO3a0rklPT7eukbydr8OHD2+RGi//Rl6aino9ltfmvrZsmjV/lZfv99tvv91qfENDgz7//HMFg0HFx8dfdRxXQAAAJwggAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgRAfXE7ia06dPWzXN89LkMi4uzrpGkmpqaqxrvMzPS0NIL40Qr9Us8Fr+8pe/WNd89tln1jVe1uH8+fPWNZJUXV1tXXPhwgXrmvXr11vXfPjhh9Y1XpuRduvWzbrGS8PPsrIy65q6ujrrGi//RtLFppq2vDT79HIcr81IvfyMGDBggNX4Cxcu6PPPP290HFdAAAAnCCAAgBNWAZSXl6cRI0YoLi5OiYmJmj59ug4dOhQ2prq6Wrm5uerevbtiY2M1c+ZMlZaWNumkAQBtn1UAFRQUKDc3V7t379bmzZtVV1enSZMmqbKyMjRm4cKFeuONN/T666+roKBAxcXFmjFjRpNPHADQtlndhLBp06awx6tXr1ZiYqL27dunMWPGKBgM6ne/+51eeeUVTZgwQZK0atUqDRo0SLt377b+VD0AQPv1tV4DCgaDkv7/jpl9+/aprq5O2dnZoTEDBw5Ur169tGvXrit+jZqaGpWXl4dtAID2z3MANTQ0aMGCBRo1apQGDx4sSSopKVF0dLS6dOkSNjYpKUklJSVX/Dp5eXkKBAKhLS0tzeuUAABtiOcAys3N1UcffaQ1a9Z8rQksXrxYwWAwtHl5vwwAoO3x9EbU+fPn680339SOHTvUs2fP0P7k5GTV1taqrKws7CqotLRUycnJV/xafr9ffr/fyzQAAG2Y1RWQMUbz58/X+vXrtW3bNmVkZIQ9P3z4cEVFRWnr1q2hfYcOHdKxY8eUlZXVNDMGALQLVldAubm5euWVV7Rx40bFxcWFXtcJBAKKiYlRIBDQ3LlztWjRInXr1k3x8fH63ve+p6ysLO6AAwCEsQqgF154QZI0bty4sP2rVq3SnDlzJEm//OUvFRERoZkzZ6qmpkaTJ0/Wr3/96yaZLACg/fAZY4zrSXxVeXm5AoGAhgwZosjIyOuu++1vf2t9rDNnzljXSFLnzp2ta7p3725d46VR47lz56xrvDRPlKQOHexfQvTSdLFTp07WNV4amEre1iIiwv5eHi/fdpfeXXo9vvomcRtemrl+8cUX1jVeXv/18n3rpYGp5K2JqZdjxcTEWNdc7XX1xnhpYpqfn281vqamRs8//7yCweA1mx3TCw4A4AQBBABwggACADhBAAEAnCCAAABOEEAAACcIIACAEwQQAMAJAggA4AQBBABwggACADhBAAEAnCCAAABOePpE1Jbw4YcfWo1ft26d9TH+7u/+zrpGkoqLi61rPv30U+ua6upq6xovXaC9dsP20sE3OjrausamK/qXampqrGskqb6+3rrGS2frqqoq65qTJ09a13htdu9lHbx0R2+pc7y2tta6RvLWkd5LjZcO2l46dUu67INEr0dpaanV+Otdb66AAABOEEAAACcIIACAEwQQAMAJAggA4AQBBABwggACADhBAAEAnCCAAABOEEAAACcIIACAEwQQAMAJn/HarbCZlJeXKxAItMixcnJyPNU98cQT1jWJiYnWNWfOnLGu8dII0UvjSclbk1AvzUi9NLn0MjdJ8vl81jVevoW8NID1UuNlvb0ey8vaeeHlOLbNNL8OL2ve0NBgXZOcnGxdI0kHDx60rrnvvvs8HSsYDCo+Pv6qz3MFBABwggACADhBAAEAnCCAAABOEEAAACcIIACAEwQQAMAJAggA4AQBBABwggACADhBAAEAnCCAAABOtNpmpD6fz6rpoJdmfi1p/Pjx1jV5eXnWNV6annpt/hoRYf//L16ahHppRuq1waoXp06dsq7x8m33+eefW9d4/b44d+6cdY3XBrC2vKxdXV2dp2NVVVVZ13j5vti8ebN1zccff2xdI0k7d+70VOcFzUgBAK0SAQQAcIIAAgA4QQABAJwggAAAThBAAAAnCCAAgBMEEADACQIIAOAEAQQAcIIAAgA4QQABAJxotc1I0XIGDhzoqS4hIcG6pqyszLqmZ8+e1jVHjx61rpG8Na08cuSIp2MB7R3NSAEArRIBBABwwiqA8vLyNGLECMXFxSkxMVHTp0/XoUOHwsaMGzcu9Fk+X26PPfZYk04aAND2WQVQQUGBcnNztXv3bm3evFl1dXWaNGmSKisrw8Y98sgjOnnyZGhbunRpk04aAND2WX3U5KZNm8Ier169WomJidq3b5/GjBkT2t+pUyclJyc3zQwBAO3S13oNKBgMSpK6desWtj8/P18JCQkaPHiwFi9efM2Pta2pqVF5eXnYBgBo/6yugL6qoaFBCxYs0KhRozR48ODQ/gcffFC9e/dWamqqDh48qB/+8Ic6dOiQ1q1bd8Wvk5eXp6efftrrNAAAbZTn9wHNmzdPb7/9tt59991rvk9j27ZtmjhxogoLC9W3b9/Lnq+pqVFNTU3ocXl5udLS0rxMCR7xPqD/x/uAgKbT2PuAPF0BzZ8/X2+++aZ27NjR6A+HzMxMSbpqAPn9fvn9fi/TAAC0YVYBZIzR9773Pa1fv17bt29XRkZGozUHDhyQJKWkpHiaIACgfbIKoNzcXL3yyivauHGj4uLiVFJSIkkKBAKKiYnRkSNH9Morr+juu+9W9+7ddfDgQS1cuFBjxozR0KFDm+UvAABom6wC6IUXXpB08c2mX7Vq1SrNmTNH0dHR2rJli5YtW6bKykqlpaVp5syZ+tGPftRkEwYAtA/Wv4K7lrS0NBUUFHytCQEAbgx0wwYANAu6YQMAWiUCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATBBAAwAkCCADgBAEEAHCCAAIAOEEAAQCcIIAAAE4QQAAAJwggAIATrS6AjDGupwAAaAKN/TxvdQFUUVHhegoAgCbQ2M9zn2lllxwNDQ0qLi5WXFycfD5f2HPl5eVKS0vT8ePHFR8f72iG7rEOF7EOF7EOF7EOF7WGdTDGqKKiQqmpqYqIuPp1TocWnNN1iYiIUM+ePa85Jj4+/oY+wb7EOlzEOlzEOlzEOlzkeh0CgUCjY1rdr+AAADcGAggA4ESbCiC/368lS5bI7/e7nopTrMNFrMNFrMNFrMNFbWkdWt1NCACAG0ObugICALQfBBAAwAkCCADgBAEEAHCCAAIAONFmAmjFihVKT09Xx44dlZmZqT179rieUov7yU9+Ip/PF7YNHDjQ9bSa3Y4dOzR16lSlpqbK5/Npw4YNYc8bY/TUU08pJSVFMTExys7O1uHDh91Mthk1tg5z5sy57PyYMmWKm8k2k7y8PI0YMUJxcXFKTEzU9OnTdejQobAx1dXVys3NVffu3RUbG6uZM2eqtLTU0Yybx/Wsw7hx4y47Hx577DFHM76yNhFAr732mhYtWqQlS5bogw8+0LBhwzR58mSdOnXK9dRa3M0336yTJ0+Gtnfffdf1lJpdZWWlhg0bphUrVlzx+aVLl2r58uVauXKl3n//fXXu3FmTJ09WdXV1C8+0eTW2DpI0ZcqUsPPj1VdfbcEZNr+CggLl5uZq9+7d2rx5s+rq6jRp0iRVVlaGxixcuFBvvPGGXn/9dRUUFKi4uFgzZsxwOOumdz3rIEmPPPJI2PmwdOlSRzO+CtMGjBw50uTm5oYe19fXm9TUVJOXl+dwVi1vyZIlZtiwYa6n4ZQks379+tDjhoYGk5ycbJ599tnQvrKyMuP3+82rr77qYIYt49J1MMaY2bNnm2nTpjmZjyunTp0ykkxBQYEx5uK/fVRUlHn99ddDYz7++GMjyezatcvVNJvdpetgjDFjx441P/jBD9xN6jq0+iug2tpa7du3T9nZ2aF9ERERys7O1q5duxzOzI3Dhw8rNTVVffr00UMPPaRjx465npJTRUVFKikpCTs/AoGAMjMzb8jzY/v27UpMTNRNN92kefPm6ezZs66n1KyCwaAkqVu3bpKkffv2qa6uLux8GDhwoHr16tWuz4dL1+FL+fn5SkhI0ODBg7V48WJVVVW5mN5Vtbpu2Jc6c+aM6uvrlZSUFLY/KSlJn3zyiaNZuZGZmanVq1frpptu0smTJ/X0009r9OjR+uijjxQXF+d6ek6UlJRI0hXPjy+fu1FMmTJFM2bMUEZGho4cOaJ//Md/VE5Ojnbt2qXIyEjX02tyDQ0NWrBggUaNGqXBgwdLung+REdHq0uXLmFj2/P5cKV1kKQHH3xQvXv3Vmpqqg4ePKgf/vCHOnTokNatW+dwtuFafQDh/+Xk5IT+PHToUGVmZqp3795au3at5s6d63BmaA3uv//+0J+HDBmioUOHqm/fvtq+fbsmTpzocGbNIzc3Vx999NEN8TrotVxtHR599NHQn4cMGaKUlBRNnDhRR44cUd++fVt6mlfU6n8Fl5CQoMjIyMvuYiktLVVycrKjWbUOXbp00YABA1RYWOh6Ks58eQ5wflyuT58+SkhIaJfnx/z58/Xmm2/qnXfeCfv8sOTkZNXW1qqsrCxsfHs9H662DleSmZkpSa3qfGj1ARQdHa3hw4dr69atoX0NDQ3aunWrsrKyHM7MvXPnzunIkSNKSUlxPRVnMjIylJycHHZ+lJeX6/3337/hz48TJ07o7Nmz7er8MMZo/vz5Wr9+vbZt26aMjIyw54cPH66oqKiw8+HQoUM6duxYuzofGluHKzlw4IAkta7zwfVdENdjzZo1xu/3m9WrV5v/+Z//MY8++qjp0qWLKSkpcT21FvX444+b7du3m6KiIvPee++Z7Oxsk5CQYE6dOuV6as2qoqLC7N+/3+zfv99IMs8995zZv3+/+eyzz4wxxvz85z83Xbp0MRs3bjQHDx4006ZNMxkZGeb8+fOOZ960rrUOFRUV5oknnjC7du0yRUVFZsuWLeav//qvTf/+/U11dbXrqTeZefPmmUAgYLZv325OnjwZ2qqqqkJjHnvsMdOrVy+zbds2s3fvXpOVlWWysrIczrrpNbYOhYWF5p//+Z/N3r17TVFRkdm4caPp06ePGTNmjOOZh2sTAWSMMb/61a9Mr169THR0tBk5cqTZvXu36ym1uFmzZpmUlBQTHR1tvvGNb5hZs2aZwsJC19Nqdu+8846RdNk2e/ZsY8zFW7F//OMfm6SkJOP3+83EiRPNoUOH3E66GVxrHaqqqsykSZNMjx49TFRUlOndu7d55JFH2t3/pF3p7y/JrFq1KjTm/Pnz5u///u9N165dTadOncy3vvUtc/LkSXeTbgaNrcOxY8fMmDFjTLdu3Yzf7zf9+vUz//AP/2CCwaDbiV+CzwMCADjR6l8DAgC0TwQQAMAJAggA4AQBBABwggACADhBAAEAnCCAAABOEEAAACcIIACAEwQQAMAJAggA4MT/AcBjvi3QnOhnAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Ploting the single sample\n",
        "image, label = train_data[0]\n",
        "plt.imshow(image.squeeze(), cmap=\"gray\")\n",
        "plt.title(class_names[label])\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 907
        },
        "id": "IYpZkjKz-7cJ",
        "outputId": "531854f5-33ce-4adc-c743-08ee198c7acd"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x900 with 100 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Plotting the grid of samples\n",
        "fig = plt.figure(figsize=(9, 9))\n",
        "\n",
        "rows, cols = 10, 10\n",
        "# Loop for generating and plotting 16 random samples\n",
        "for i in range(1, (rows*cols+1)):        # Range adjusted to generate 16 samples (4x4 grid)\n",
        "    random_idx = torch.randint(0, len(train_data), size=[1]).item()\n",
        "    image, label = train_data[random_idx]\n",
        "    ax = fig.add_subplot(rows, cols, i)  # Subplot index starts from 1\n",
        "    ax.imshow(image.squeeze())\n",
        "    ax.set_title(class_names[label])\n",
        "    ax.axis('off')                       # Turning off axis labels\n",
        "plt.tight_layout()                       # Adjusting layout for better display\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q5tqUjWPBIWx"
      },
      "source": [
        "### **6. DataLoader**\n",
        "\n",
        "- `batching`\n",
        "- `shuffling`\n",
        "- `parallelism`\n",
        "- `data transformations`\n",
        "- `prefetching`\n",
        "- `iterable interface`"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "E3jTSOOpD6eT"
      },
      "outputs": [],
      "source": [
        "BATCH_SIZE = 32  # Define the batch size for training and testing data\n",
        "\n",
        "# Create a DataLoader for the training data\n",
        "train_dataloader = DataLoader(\n",
        "    dataset=train_data,\n",
        "    batch_size=BATCH_SIZE,\n",
        "    shuffle=True  # Shuffle the data for better training\n",
        ")\n",
        "\n",
        "# Create a DataLoader for the testing data\n",
        "test_dataloader = DataLoader(\n",
        "    dataset=test_data,\n",
        "    batch_size=BATCH_SIZE,\n",
        "    shuffle=False  # No need to shuffle the testing data\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DppC5MUGGHTa"
      },
      "source": [
        "### **7. Device agnostic**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "r75iSlb4HnPq",
        "outputId": "e826092b-1b9e-4467-fbf4-4f940170bd65"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'cuda'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "device"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FvbdOpS_Hw3Q"
      },
      "source": [
        "### **8. Model**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hy_vq0ta29Uy",
        "outputId": "872dc83f-bc4b-45c4-f278-f720d554b45a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "FashionMNISTModel(\n",
            "  (conv_block_1): Sequential(\n",
            "    (0): Conv2d(1, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (1): ReLU()\n",
            "    (2): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (3): ReLU()\n",
            "    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "  )\n",
            "  (conv_block_2): Sequential(\n",
            "    (0): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (1): ReLU()\n",
            "    (2): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
            "    (3): ReLU()\n",
            "    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
            "  )\n",
            "  (classifier): Sequential(\n",
            "    (0): Flatten(start_dim=1, end_dim=-1)\n",
            "    (1): Linear(in_features=490, out_features=10, bias=True)\n",
            "  )\n",
            ")\n"
          ]
        }
      ],
      "source": [
        "# Creat the CNN model:\n",
        "# Create a convolutional neural network\n",
        "class FashionMNISTModel(nn.Module):\n",
        "    def __init__(self, input_shape: int, hidden_units: int, output_shape: int):\n",
        "        super().__init__()\n",
        "        self.conv_block_1 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=input_shape, out_channels=hidden_units, kernel_size=3, stride=1, padding=1),\n",
        "            nn.ReLU(),\n",
        "            nn.Conv2d(in_channels=hidden_units, out_channels=hidden_units, kernel_size=3, stride=1, padding=1),\n",
        "            nn.ReLU(),\n",
        "            nn.MaxPool2d(kernel_size=2)\n",
        "            )\n",
        "        self.conv_block_2 = nn.Sequential(\n",
        "            nn.Conv2d(in_channels=hidden_units, out_channels=hidden_units, kernel_size=3, stride=1, padding=1),\n",
        "            nn.ReLU(),\n",
        "            nn.Conv2d(in_channels=hidden_units, out_channels=hidden_units, kernel_size=3, stride=1, padding=1),\n",
        "            nn.ReLU(),\n",
        "            nn.MaxPool2d(kernel_size=2)\n",
        "            )\n",
        "        self.classifier = nn.Sequential(\n",
        "            nn.Flatten(),\n",
        "            nn.Linear(in_features=hidden_units*7*7, out_features=output_shape)\n",
        "            )\n",
        "\n",
        "    def forward(self, x):\n",
        "        x = self.conv_block_1(x)\n",
        "        x = self.conv_block_2(x)\n",
        "        x = self.classifier(x)\n",
        "        return x\n",
        "\n",
        "model = FashionMNISTModel(\n",
        "    input_shape=1,\n",
        "    hidden_units=10,\n",
        "    output_shape= len(class_names)).to(device)\n",
        "\n",
        "print(model)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YPx3oQtFYGb8"
      },
      "source": [
        "```markdown\n",
        "Input: [batch_size, 1, 28, 28]\n",
        "|\n",
        "|--- Conv2d: [batch_size, 10, 28, 28]\n",
        "|    |--- ReLU\n",
        "|    |--- Conv2d: [batch_size, 10, 28, 28]\n",
        "|    |    |--- ReLU\n",
        "|    |    |--- MaxPool2d: [batch_size, 10, 14, 14]\n",
        "|\n",
        "|--- Conv2d: [batch_size, 10, 14, 14]\n",
        "|    |--- ReLU\n",
        "|    |--- Conv2d: [batch_size, 10, 14, 14]\n",
        "|    |    |--- ReLU\n",
        "|    |    |--- MaxPool2d: [batch_size, 10, 7, 7]\n",
        "|\n",
        "|--- Flatten: [batch_size, 490] ~ (batch_size*7*7)\n",
        "|--- Linear: [batch_size, n] (where n is the number of classes)\n",
        "\n",
        "```\n",
        "\n",
        "$$O=\\frac{n-f+2p}{s}+1$$\n",
        "\n",
        "where:\n",
        "- `n` $\\rightarrow$ is the `input` height/width,\n",
        "- `f` $\\rightarrow$ is the `filter` (kernel) size,\n",
        "- `p` $\\rightarrow$ is the `padding`\n",
        "- `s` $\\rightarrow$ is the `stride`.\n",
        "- `O` $\\rightarrow$ is `output` layer shape\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "H3xOH9cgIZYa"
      },
      "source": [
        "### **9. Testing model on Random Image Tensor**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BTrN1DYdC-g4",
        "outputId": "6f6692df-9bde-4dab-a46b-1f34f7357eb6"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "32\n",
            "torch.Size([32, 1, 28, 28])\n",
            "torch.Size([1, 28, 28])\n",
            "tensor([-0.0907, -0.0290,  0.0707,  0.0100,  0.0387, -0.0164,  0.0662,  0.0127,\n",
            "         0.0291, -0.0787], device='cuda:0', grad_fn=<SelectBackward0>)\n",
            "tensor([[-0.0907, -0.0290,  0.0707,  0.0100,  0.0387, -0.0164,  0.0662,  0.0127,\n",
            "          0.0291, -0.0787]], device='cuda:0', grad_fn=<AddmmBackward0>)\n",
            "torch.Size([1, 10, 26, 26])\n",
            "torch.Size([1, 10, 13, 13])\n"
          ]
        }
      ],
      "source": [
        "rand_img_tensor = torch.randn(size=(32, 1, 28, 28)) # Random batch of 32 gray 28 by 28 size image\n",
        "print(len(rand_img_tensor))                         # batch_size ~ Total images in the batch\n",
        "print((rand_img_tensor.shape))                      # batch_size, color_channel, height, width\n",
        "\n",
        "first_rand_img_tensor = rand_img_tensor[0]\n",
        "print(first_rand_img_tensor.shape)                  # color_channel, height, width\n",
        "\n",
        "# Image-->Model-->Logits-->Softmax-->Probability\n",
        "print(model(rand_img_tensor.to(device))[0])\n",
        "print(model(first_rand_img_tensor.unsqueeze(dim=0).to(device)))\n",
        "\n",
        "\n",
        "# stepping through the Conv2d\n",
        "conv_layer = nn.Conv2d(in_channels=1,\n",
        "                       out_channels=10,\n",
        "                       kernel_size=3,\n",
        "                       stride=1,\n",
        "                       padding=0)\n",
        "\n",
        "conv_output = conv_layer(first_rand_img_tensor.unsqueeze(dim=0))\n",
        "print(conv_output.shape)\n",
        "\n",
        "# stepping through the MaxPool2d\n",
        "maxpool_layer = nn.MaxPool2d(kernel_size=2)\n",
        "maxpool_out = maxpool_layer(conv_output)\n",
        "print(maxpool_out.shape)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qW-ADveqTazc"
      },
      "source": [
        "### **10. Loss Function, Optimizer & accuracy**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "id": "G4plVUAQTlw8"
      },
      "outputs": [],
      "source": [
        "loss_fn = nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.SGD(params=model.parameters(), lr=0.1)\n",
        "\n",
        "def accuracy_fn(y_true, y_pred):\n",
        "    correct = torch.eq(y_true, y_pred).sum().item()\n",
        "    acc = (correct / len(y_pred)) * 100\n",
        "    return acc"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bEefcnsNvcTx"
      },
      "source": [
        "### **11. Training | Testing**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AYhudzjsYLaS"
      },
      "source": [
        "**Training loop**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "id": "3SmFOs5VN6Ma"
      },
      "outputs": [],
      "source": [
        "def train_step(model: torch.nn.Module,\n",
        "               dataloader: torch.utils.data.DataLoader,\n",
        "               loss_fn: torch.nn.Module,\n",
        "               optimizer: torch.optim.Optimizer,\n",
        "               accuracy_fn,\n",
        "               device: torch.device=device):\n",
        "\n",
        "    # Initializing train loss and accuracy\n",
        "    train_loss, train_acc = 0, 0\n",
        "\n",
        "    # Put the Model into training mode\n",
        "    model.train()\n",
        "\n",
        "    # Looping through the training batches\n",
        "    for batchs, (X, y) in enumerate(dataloader):\n",
        "        # Put the data on device\n",
        "        X, y = X.to(device), y.to(device)\n",
        "\n",
        "        # 1. Forward pass(output the raw logits from the model)\n",
        "        y_pred = model(X)\n",
        "\n",
        "        # 2. Calculating the loss and accuracy(per batch)\n",
        "        loss = loss_fn(y_pred, y)\n",
        "        train_loss += loss\n",
        "        train_acc += accuracy_fn(y_true=y, y_pred=torch.argmax(y_pred, dim=1))\n",
        "\n",
        "        # 3. Optimizer zero grad\n",
        "        optimizer.zero_grad()\n",
        "\n",
        "        # 4. loss backward\n",
        "        loss.backward()\n",
        "\n",
        "        # 5. Optimizer step\n",
        "        optimizer.step()\n",
        "\n",
        "    # divide total train loss and accuracy by length of dataloader\n",
        "    train_loss /= len(dataloader)\n",
        "    train_acc /= len(dataloader)\n",
        "    print(f\"Train loss: {train_loss:.5f} Train acc: {train_acc:.2f}\")\n",
        "\n",
        "    return train_loss.item(), train_acc"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "duksLCTflEJv"
      },
      "source": [
        "- In the **training loop**, `enumerate` is used to track **batch** indices for updating **model parameters**. In the **testing loop**, it’s omitted because we’re only `evaluating` the model’s performance, **not updating it**.\n",
        "\n",
        "- Similarly, In the training loop, we use an `optimizer` to update the model’s parameters based on the gradients computed during **backpropagation**. The optimizer adjusts the weights to minimize the `loss` function. However, in the testing loop, we don’t need to update the model’s parameters; we only evaluate the model’s performance on the test data. Therefore, we don’t use an optimizer in the testing loop.\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_KXO52O4YO3x"
      },
      "source": [
        "**Testing loop**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "id": "xGZJl0JjYgIJ"
      },
      "outputs": [],
      "source": [
        "def test_step(model: torch.nn.Module,\n",
        "              dataloader: torch.utils.data.DataLoader,\n",
        "              loss_fn: torch.nn.Module,\n",
        "              accuracy_fn:accuracy_fn,\n",
        "              device: torch.device=device):\n",
        "\n",
        "    test_loss, test_acc = 0, 0\n",
        "\n",
        "    # Put the model into eval mode\n",
        "    model.eval()\n",
        "\n",
        "    # Turn on the inference mode contex manager\n",
        "    with torch.inference_mode():\n",
        "        for X, y in dataloader:\n",
        "\n",
        "            # Send the data to the target device\n",
        "            X, y = X.to(device), y.to(device)\n",
        "\n",
        "            # 1. Forward pass (output the raw logits)\n",
        "            test_pred = model(X)\n",
        "\n",
        "            # 2. Calculate the loss and accuracy\n",
        "            test_loss += loss_fn(test_pred, y)\n",
        "            test_acc += accuracy_fn(y_true= y, y_pred=torch.argmax(test_pred, dim=1))\n",
        "\n",
        "        ## Adjust the Metrics and print out\n",
        "        test_loss /= len(dataloader)\n",
        "        test_acc /= len(dataloader)\n",
        "\n",
        "        print(f\"Test loss: {test_loss:.5f} | Test acc: {test_acc:.2f}\")\n",
        "\n",
        "        return test_loss.item(), test_acc"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PKv4CF08pI5x"
      },
      "source": [
        "### **12. Timer**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "id": "1raiW0hopMUL"
      },
      "outputs": [],
      "source": [
        "from timeit import default_timer as timer\n",
        "\n",
        "def print_train_time(start: float,\n",
        "                     end: float,\n",
        "                     device: torch.device=None):\n",
        "    total_time = end - start\n",
        "    print(f\"Train time on {device}: {total_time:.3f} seconds\")\n",
        "    return total_time"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cmySwJTXYb8y"
      },
      "source": [
        "### **13. Evaluation**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 761,
          "referenced_widgets": [
            "b69a8e3f508547988a9a19047cfa17f5",
            "3debdae3fde24d2fb3d971c2f76bba29",
            "3ff7a94555074dee9a1735dbbf6aa289",
            "5e01da6c4494431db064b38228a9f196",
            "83d82dc9be1d470bb9b7588cf37a4283",
            "26cd910c80644c5aa99a6f312b546fbf",
            "43cd72146e4f4bd8880eaec827b3bd68",
            "fa4f36f26db7466dbc6df6cbb6b81a83",
            "37625220f1e84acd8a33336470597d8b",
            "9d7f8eb6ca72438ca995e99a917faf01",
            "506a186aeceb4564983be56ba900a5b3"
          ]
        },
        "id": "TVOKT7r7Ye3R",
        "outputId": "3f30327e-0433-4d7f-a711-ab791a00e29b"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/10 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b69a8e3f508547988a9a19047cfa17f5"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: 0\n",
            "----------\n",
            "Train loss: 0.58880 Train acc: 78.64\n",
            "Test loss: 0.39775 | Test acc: 86.12\n",
            "Epoch: 1\n",
            "----------\n",
            "Train loss: 0.35621 Train acc: 87.16\n",
            "Test loss: 0.34594 | Test acc: 87.60\n",
            "Epoch: 2\n",
            "----------\n",
            "Train loss: 0.31676 Train acc: 88.54\n",
            "Test loss: 0.32514 | Test acc: 88.25\n",
            "Epoch: 3\n",
            "----------\n",
            "Train loss: 0.29396 Train acc: 89.50\n",
            "Test loss: 0.31320 | Test acc: 89.03\n",
            "Epoch: 4\n",
            "----------\n",
            "Train loss: 0.28043 Train acc: 89.90\n",
            "Test loss: 0.29661 | Test acc: 89.27\n",
            "Epoch: 5\n",
            "----------\n",
            "Train loss: 0.26744 Train acc: 90.25\n",
            "Test loss: 0.31807 | Test acc: 88.34\n",
            "Epoch: 6\n",
            "----------\n",
            "Train loss: 0.26079 Train acc: 90.43\n",
            "Test loss: 0.30401 | Test acc: 89.08\n",
            "Epoch: 7\n",
            "----------\n",
            "Train loss: 0.25251 Train acc: 90.87\n",
            "Test loss: 0.31053 | Test acc: 89.34\n",
            "Epoch: 8\n",
            "----------\n",
            "Train loss: 0.24847 Train acc: 91.06\n",
            "Test loss: 0.30074 | Test acc: 89.04\n",
            "Epoch: 9\n",
            "----------\n",
            "Train loss: 0.24315 Train acc: 91.11\n",
            "Test loss: 0.27408 | Test acc: 90.11\n",
            "Train time on cuda: 131.214 seconds\n"
          ]
        }
      ],
      "source": [
        "# Initialize lists to hold metrics\n",
        "train_losses = []\n",
        "test_losses = []\n",
        "train_accuracies = []\n",
        "test_accuracies = []\n",
        "\n",
        "# Set epoch\n",
        "epochs = 10\n",
        "\n",
        "start_timer = timer() # <<<-start timer->>>\n",
        "\n",
        "# Create the optimiztion and evaluation loop using train_step() and test_step()\n",
        "for epoch in tqdm(range(epochs)):\n",
        "    print(f\"Epoch: {epoch}\\n----------\")\n",
        "\n",
        "    train_loss, train_acc = train_step(model=model,\n",
        "                                       dataloader=train_dataloader,\n",
        "                                       loss_fn=loss_fn,\n",
        "                                       optimizer=optimizer,\n",
        "                                       accuracy_fn=accuracy_fn,\n",
        "                                       device=device)\n",
        "\n",
        "    test_loss, test_acc = test_step(model=model,\n",
        "                                    dataloader=test_dataloader,\n",
        "                                    loss_fn=loss_fn,\n",
        "                                    accuracy_fn=accuracy_fn,\n",
        "                                    device=device)\n",
        "\n",
        "\n",
        "    # Append the values to the lists\n",
        "    train_losses.append(train_loss)\n",
        "    train_accuracies.append(train_acc)\n",
        "    test_losses.append(test_loss)\n",
        "    test_accuracies.append(test_acc)\n",
        "\n",
        "end_timer = timer() # <<<-End Timer>>>\n",
        "\n",
        "train_time = print_train_time(start=start_timer,\n",
        "                              end=end_timer,\n",
        "                              device=device)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jug5FJjAVHLK"
      },
      "source": [
        "- Train time on cpu: `156.721` seconds\n",
        "- Train time on cuda: `37.532` seconds\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "cxPQSxIOkQqZ"
      },
      "outputs": [],
      "source": [
        "def eval_model(model: torch.nn.Module,\n",
        "               dataloader: torch.utils.data.DataLoader,\n",
        "               loss_fn: torch.nn.Module,\n",
        "               accuracy_fn,\n",
        "               device=device):\n",
        "    \"\"\"Returns a dictionary containing the results of model predicting on data_loader.\"\"\"\n",
        "    loss, acc = 0, 0\n",
        "    model.eval()\n",
        "    with torch.inference_mode():\n",
        "        for X, y in tqdm(dataloader):\n",
        "            # Make our data device agnostic\n",
        "            X, y = X.to(device), y.to(device)\n",
        "            # Make predictions\n",
        "            y_pred = model(X)\n",
        "\n",
        "            # Accumulate the loss and acc values per batch\n",
        "            loss += loss_fn(y_pred, y)\n",
        "            acc += accuracy_fn(y_true=y,\n",
        "                               y_pred=torch.argmax(y_pred, dim=1))\n",
        "\n",
        "        # Scale loss and acc to find the average loss/acc per batch\n",
        "        loss /= len(dataloader)\n",
        "        acc /= len(dataloader)\n",
        "\n",
        "    return {\"model_name\": model.__class__.__name__, # only works when model was created with a class\n",
        "            \"model_loss\": loss.item(),\n",
        "            \"model_acc\": acc}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "scVjr-p0zv5C"
      },
      "source": [
        "### **14. loss/accuracy visualization**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "_kfBSVLxzvYc",
        "outputId": "50d42bbb-3c67-4c41-c14e-b561d7062f54"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Plotting training and testing metrics\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.style.use(\"ggplot\")\n",
        "\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(range(epochs), train_losses, label=\"Training Loss\", marker='.')\n",
        "plt.plot(range(epochs), test_losses, label=\"Test Loss\", marker='.')\n",
        "plt.xlabel(\"Epochs\")\n",
        "plt.ylabel(\"Loss\")\n",
        "plt.title(\"Training and Test Loss\")\n",
        "plt.legend()\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(range(epochs), train_accuracies, label=\"Training Accuracy\", marker=\".\")\n",
        "plt.plot(range(epochs), test_accuracies, label=\"Test Accuracy\", marker=\".\")\n",
        "plt.xlabel(\"Epochs\")\n",
        "plt.ylabel(\"Accuracy\")\n",
        "plt.title(\"Training and Test Accuracy\")\n",
        "plt.legend()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kCvK0U4jzjQG"
      },
      "source": [
        "###  **15. Make and evaluate random predictions**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "c5tzbvy5N6KK"
      },
      "outputs": [],
      "source": [
        "def make_predictions(model=torch.nn.Module,\n",
        "                     data=list,\n",
        "                     device: torch.device=device):\n",
        "    pred_probs = []\n",
        "    model.to(device)\n",
        "\n",
        "    model.eval()\n",
        "    # Turn off gradient computation\n",
        "    with torch.inference_mode():\n",
        "        # Process each sample individually\n",
        "        for sample in data:\n",
        "            # Prepare the sample (add a batch dimension and pass to target device)\n",
        "            sample = torch.unsqueeze(sample, dim=0).to(device)\n",
        "\n",
        "            # Forward pass (model outputs raw logits)\n",
        "            pred_logit = model(sample)\n",
        "\n",
        "            # Get prediction probability (logit -> prediction probability)\n",
        "            pred_prob = torch.softmax(pred_logit.squeeze(), dim=0)\n",
        "\n",
        "            # Get pred_prob off the GPU for further calculations\n",
        "            # matplotlib dose'nt works with GPU\n",
        "            pred_probs.append(pred_prob.cpu())\n",
        "\n",
        "    # Stack the pred_probs to turn list into a tensor\n",
        "    return torch.stack(pred_probs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DAgx91pwhMLT",
        "outputId": "ef0d24aa-811a-4ccd-9063-c231573754d8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Dataset FashionMNIST\n",
              "    Number of datapoints: 10000\n",
              "    Root location: data\n",
              "    Split: Test\n",
              "    StandardTransform\n",
              "Transform: ToTensor()"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ],
      "source": [
        "test_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IhoVZ6QRXlRe",
        "outputId": "4eb68f29-4b7f-4b9e-d1b2-03d59313cf78"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "torch.Size([1, 28, 28])"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "import random\n",
        "# random.seed(42)\n",
        "\n",
        "test_samples = []\n",
        "test_labels = []\n",
        "\n",
        "for sample, label in random.sample(list(test_data), k=9): # K ~ number of items you want to randomly select from a sequence.\n",
        "    test_samples.append(sample)\n",
        "    test_labels.append(label)\n",
        "\n",
        "# view the first sample shape\n",
        "test_samples[0].shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dkDX5vBCb8Hz"
      },
      "source": [
        "**Visualization**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 453
        },
        "id": "_2zdazoCXlNY",
        "outputId": "64e55673-1d46-4a0b-ed81-c154ca43f9ec"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.imshow(test_samples[0].squeeze(), cmap=\"gray\")\n",
        "plt.title(class_names[test_labels[0]])\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eKrPTxlwXlFd",
        "outputId": "51f75dde-8aa3-4b5d-ba0a-2a937991e2ac"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "tensor([[2.4893e-04, 3.1739e-06, 7.5554e-04, 9.9142e-01, 7.0470e-03, 1.7071e-06,\n",
            "         4.9220e-04, 2.0350e-07, 2.8188e-05, 2.7234e-08],\n",
            "        [1.4415e-02, 6.1770e-04, 1.1542e-02, 7.3775e-01, 1.1681e-01, 7.7150e-06,\n",
            "         1.1745e-01, 1.3643e-05, 1.3942e-03, 1.6931e-06]])\n",
            "[3, 3, 0, 5, 8, 8, 5, 1, 2]\n"
          ]
        }
      ],
      "source": [
        "# Make predictions\n",
        "pred_probs = make_predictions(model=model,\n",
        "                              data=test_samples)\n",
        "\n",
        "# View first two prediction probabilities\n",
        "print(pred_probs[:2])\n",
        "print(test_labels)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SjjwxebJsiBh",
        "outputId": "40fb4641-10a5-4436-f9d6-5d89c040a47c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([3, 3, 0, 5, 8, 8, 5, 1, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ],
      "source": [
        "# Convert prediction probabilities to labels\n",
        "pred_classes = torch.argmax(pred_probs, dim=1)\n",
        "pred_classes"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LRz6SX0HXlCF"
      },
      "source": [
        "### **16. Visualizing the predictions**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 749
        },
        "id": "DPn8hBVmum8U",
        "outputId": "7f827d11-1c8c-4583-b3f8-00b6bf8a6b68"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x900 with 9 Axes>"
            ],
            "image/png": 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Xv/Lvr0FUaFSxkz4zN1MhQSFacOOCw076Qz/Cur7N9eresLu+XPWlvlrzlZ6e/bSeP/953dHxDl3Q+AKtH7hek1ZN0rS103Tu/87Vbe1v0/Dzh5fJc6jIWNes60Cwrv0rj2urZlxNLbp5ke/rQ5/vHd17tO7scKemrJ6ij5Z9pEe+eUTTrpqm02qfJkmHdSYJCvJ/rv35fHeZvGqyWiS2UJ34Ov4ffJz6q7X958/iB7q2D625slrbk66cpLzCg3OJCo2SZK/TQOf05/PfZeu+rfp568+6qMlFR/xcvHDUPtMdExajRlUaqW583RL95m2b5DZalbZK1WOqq1GVRsX+i4+MV3xkvJJjk/XDph982+QX5mvBlgVlNuev132tX3b8or7N+/qd68pdKw+bZ6MqjXxvfFFhUbq46cV66YKXNPPqmZq7aa5+2fGLpIN3G7o16KZnz3tWS25eotT0VH297usyex7+HLogb838/TNQi7YtKvaY8JBwFRQVHLU5HTJi3sHPnHZr0M35mFOTT1VBUYF27N9x2PH/44+P6sTX0c3tbta4y8bpnk736I2Fb/iyxJhEXd36ar136Xsa0X1EwL80dqJhXbOuA8G69q88rq3Q4NBi+/3jL9WdmnyqHjrrIX1/3fdqWb2lPvjlgzLbr/R714yCwuLn8x8/WnJIWHDYYY9rnthcczbOKfZvczbOUYvEFsX+bd6mecW/3jxPzasV/7iM1xKjE7V139Zi//bnu+3hIeGHPcejoV5CPd/rX6tSLd+/W+u0rPzVc/78t891ep3Ti52Lf/W45tWaa+7GucVuUszZOEdx4XGqXam2799+2PxDse3mbZqnxlUal+gut3Qc/3Gcfqf0U7Xoauo9tre+W/+d1u1Zp5mpM3Xn5Du1ae8mSdJdHe/SsDnDNGHFBK3YtUK3fnnrYQ3Wxy8fr2avNPO7v5yCHG3L3KbNezdr4daFeuq7p9R7bG/1bNLT2dbqkMfOfkz/W/I/DZ45WMt2LNPyncs1dulYPfL1I5IO/mLKWwvf0tIdS7V2z1q9t+Q9RYVGqV58PX3x2xd66YeXtGjbIq1PX6//Lf6fCosKy/Qzdf40qtJIdSrV0aCZg7QqbZW+/O1LPT/3+WKPSUlIUWZupmasnaFdWbuUlZdV4vH7j++vh6Yf3ubqz9Kz07Utc5vWp6/XtDXT9LeP/6YPfvlAoy4aZd4dbFK1ifqd3E/9J/TXuOXjtG7POs3fPF9Pf/e0vvztS0kHf7N76uqpWrdnnRZuXahvUr/xfa7wsW8e02crPtPq3au1bMcyfbHqi8M+c4iywbpmXbOuvXG011ZJrduzTg9Nf0hzN87V+vT1+mrNV1qVtqrMC9XqMdUVFRqlKaunaHvmdmVkZyi/MF+TV09Wr6a9ij02JSFFM9bN0LbMbb4OOvedfp/GLBqjUT+O0qq0VXph7gsat3xcsV8ulqRPfv1Eb//8tn5L+02Pf/O45m+er9s72B9dKGtd63fVT1t+0v8W/0+r0lbp8W8e19IdS4s9JiUhRT9s/kGp6analbWrxHeyN+/drGavNNP8zfPLbL7WOi1LKQkp+nbDt9q8d7N2Ze2S9HvXkj8/7s/H5tb2t2rj3o26Y/IdWrFrhT5b8Zken/m47u50d7HWpRsyNujuqXdr5a6V+vCXD/Xy/Jd1V8e7SjzHY/8XLByiw6L17TXf6oHpD+jSjy/Vvpx9qlWpls6tf64qRVSSJN1z+j3amrlVV0+4WsFBwbq29bW6pPklysjO8I2TkZOhlWn+2+FMWT1Fyc8nKzQ4VJUjK6tVUiu91OMlXd36ar+9Yrs36q4vrvhCT3z7hJ6Z84zCQsLUrFozXX/qwV+2SIhM0LDZw3T3V3eroLBAJ9c4WZ9f8bmqRldVQmSCxi0fp0EzByk7P1uNqzbWh30/9PW8PBrCQsL0Yd8PdcuXt+iU105R+5rtNaTrEP39k7/7HnN6ndN1c9ubddn/Xaa0A2lH1LB/Q8aGEvXbveazg7/EFhkaqVpxtXRm3TM1/4b5apPcxu+2o3uP1pBvh+ier+7R5r2bVS26mk6rfZp6Nukp6eDdj9sm3aZNezepUkQl9WjUQy92f1HSwe96H5rxkFLTUxUVFqWz6p6lsX3Hlui54ciwrlnXrGtvHO21dSTzWpG2Qu98/I7SDqQpOTZZt7W/TTe1u6nM9iEdvMv+0gUv6YlZT+ixmY/prLpn6dGzH1VseOxh59rz5z+vu7+6W28sfEO14mopdWCq+jTro5E9Rmr43OG6a8pdql+5vkb3Hq3OKZ2LbTu482CNXTpWt355q5LjkvVh3w8Puxvute6NuuvRsx/V/dPuV3Z+tq499Vr1P6W/76ds0sFfOr56wtVq8Z8WOpB/QOvuWleisfMK87QybeURfQPuj7VOy9ITXZ7QTV/cpIYvNVROQY4yH8rUjHUzDvsjOH91bFISUjTpykm6b9p9avVaK1WJqqLrTr1Oj5z9SLFt+5/SXwfyDqjDmx0UEhSiuzrepRvbFv9dAEtQ0ZE0GMRxIWVEisb0GXPYxQBA+cW6BsrWnZPvVH5hfpl1FgnkL1nOTJ2pARMGBPQXY1E645aP0yNfP6Jfb/u1TMYri79kedze6QYAAAhUy+ot1al2J/8PRIUUGx6rZ7o9c6ynUQxFNwAAqHCO5Mf+qHjOb3j+sZ7CYSi6y6GBpw0st3/oAcBfY10Dx7eix4/807gpCSkaeNrAsp8MjrqZA2aWegw+0w0AAAB47LhtGQgAAABUFBTdAAAAgMdK/JnuP/55Xvy1vn3df+Fu1apVzmzJkiVeTEehofbLe9FF7j+LOn36dGe2f//+gOdksc6x8vYpqPIyX9Y1vMa6PvqOt3UdHGzf3yssLJs/QX4krrjiCmeWkpLizGrUqGGOu337dmdmnT+RkZHmuO3bt3dmf/vb35zZgQMHzHFxdNc1d7oBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgsRL/RcrjrQWRV+655x4zP/30051ZbGysMwsJCXFmtWvXNvf5ww8/OLPq1as7s/DwcHPcgoICZ2a1Gdq1a5czu/322819nijti2gtdnz55ptvzDw7O9uZWe3MrOvB2LFjzX2+/PLLzsxqS/bPf/7THPfcc891ZgsWLHBmVapUcWbPPPOMuc8pU6aYeUVxoq9rq/WfV23/mjVr5sy6d+9ubnvSSSc5M6tl7mOPPebM3nrrLXOfycnJzqxBgwbOrEOHDua49957rzNbtmyZM7Oufd999525z/nz5zuz3Nxcc9vyhJaBAAAAQAVC0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPnZB9us8++2xnNnz4cHPbjRs3OjOrb6V1mP3107Z6fFu9Ua3ew5Ldc9Xap9WH1OoXKkk333yzmVcUJ3o/32OhV69ezuzTTz81t12/fr0zCwsLc2bWGkpISDD3uWLFCmdm9fPduXOnOe6aNWucWXR0tDOz5luvXj1zn1aP4dWrV5vblies68D07NnTzB944AFnlpiY6Mz8vXda74/W+7X1Nzf27Nlj7vPXX391ZikpKc6scePG5ribN292Zvn5+c7M3zGy7N+/35lt2LDBmd11113muFu3bg14Tl6gTzcAAABQgVB0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgsROyZeDIkSOdWfv27c1tt2zZ4swKCgqcmXX8rLZGknTgwIGAxrVanUl2KyGrZaCVxcTEmPvs06ePM8vMzDS3LU9oLXb0/fjjj84sLi7O3DYvL8+ZVa9e3Znt2rXLmYWGhpr7tNoNLl++3Jn98MMP5rgXXXSRM4uKinJm1nXG2k6SnnjiCWc2fvx4c9vyhHXt1qRJE2c2Z84cc9t9+/Y5M2ttWm3/JHuNWZn1Olvvf5LdejMtLc2Z5eTkmONarPmWpvawxMfHOzOrnaAkde3aNeD9eoGWgQAAAEAFQtENAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDH7J5WFVRiYqIzi4yMNLe12uzt2bMnoHH9tauxWhtZ7YCsVkuS3frImpPVfq1SpUrmPq22UgsXLjS3BSzp6enOrFatWua21jpas2aNM7NajE6fPt3cZ40aNZzZSSed5MysNSRJlStXdmZWKy+rZaA1H0nq0aOHM6tILQPhdv311zuzvXv3mttmZWU5s+joaGdmta2T7PdAq8Wv1UovOzvb3OeOHTucmfVe7q+tqdWCND8/P6DtrFaNkj3f3bt3m9ta2rRp48wqeh3AnW4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4rMK2DLRa3VStWtWZhYWFmeMmJCQ4s4yMDGdmtSeyMkmKiIgIaFurJaBkt1OynqfVctGfVq1aObOK3ioI3rLOLWttSnYbsP379zuz2bNnOzOrjZckVatWzZl98cUXzqxPnz7muB9//LEza926tTOz2qRt377d3GezZs3MHBVfgwYNnNnSpUvNba1Ws9batdqE+mOtayvz937trwWwi7/rhfV+bbUytuqH2rVrm/u02hguWrTImVktICWpYcOGzqyi1wHc6QYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1XYPt3Nmzd3ZtHR0c7MX4/NLVu2ODOr52VOTo4zs/pvSnb/3KCgIGfmr+e41RfU6ptq9fDet2+fuc8WLVqYOWCpXLmyMwsNdV/OYmNjzXGtPt3169d3Zjt37nRm1pqX7D635557rjObNGlSwONa17fzzz/fmfl7LvHx8WaOiu/kk092ZvPnzze3jYyMdGZWz+cdO3aY41o9tWNiYpyZ9Xc+Dhw4YO7T6h1uXb+sXtuS1LhxY2e2detWZ2YdgyVLlpj7tK5vdevWNbe1tG3b1pl98sknAY9bHnCnGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6rsC0Dq1ev7syioqKcmdVGT5I++ugjZ/bvf//bmVktyaxWZ5LdMtDir/2hdRwyMzOd2bJly5xZs2bNzH0mJiaaORCo3NxcZ+avleWePXuc2dKlS53Z+vXrndlJJ51k7nPTpk3OzLoOJScnm+NefPHFzsxqpWpdh6w2aFLg1yiUL6effrozs9rWlYa1jvy9d65Zs8aZhYSEODOrzZ6V+WO1B7ba/0pS165dnVlGRoYzi4uLc2bjx48392m1cmzQoIEzW7BggTluSkpKQFlqaqo5bnnAnW4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4rMK2DIyNjXVmERERzsxfO6Dly5c7s+joaGdmte/z19rPam1ktUnzx2rfZ7VCmzlzpjOzWpJJ9nMB/LHaVCUkJDizlStXmuNaa7Bq1arOzLqW5OTkmPu0WnlZbQFr1apljjtv3jxnNmfOHGdmPc8qVaqY+4yJiTFzVAwPPvigM2vcuLEzCw627+9ZLSerVavmzPy9X1v7tbatUaOGMztw4IC5z/DwcGdmXRP8td20Woxa427fvt2ZWa1SJemcc85xZmlpac6sc+fO5rj16tVzZlbr5RtuuMEctzzgTjcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeKzC9um2+kFbPWU3btxojrtixQpnFhUV5cysfqGhofbLEOi2+fn55rhWj2Grh/BXX33lzO655x5zn1b/U8Afq2dvdna2M7P6wkrSyy+/7MzuvPNOZ2atzfT0dHOfkyZNcmatW7d2ZtY1SLKvCVYf/cjISGeWmZlp7hMnhqeeesqZ3Xrrrc6sS5cuAe9z1KhRzuzee+81t7XOaauf9v79+51ZUFCQuU8rt/pp+/ubG4G+11trt1u3buY+H3nkEWdm1QFff/21Oe706dOd2dixY81tyzvudAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjFbZlYNWqVZ2Z1TJw5cqVAe8zNjbWmRUUFDgzq9WgJO3du9eZxcfH+5+Yg9VOqbCw0Jn99ttvzqyoqMjcp3XsrTaP1vHDicNq8xUWFubM9u3bZ467du1aZ2a1Ily9erUzs9puSlKzZs2c2dKlS81tLQkJCc7Mep7W9cu6BklSSkqKv2mhApg3b15AmXVtl+zr+xVXXOHM/LXvs8Y9cOCAM7POd6vVrmS3BbRa+/l777T2ax0Ha59WC1bJfk1btmzpzJYtW2aOeyLjTjcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8VmFbBlotrKzWPOPHjzfHveCCC5yZ1WYvNzc3oPlIdisvqxWT1V5Nstv3ZWZmmtu6WMdAstsjNm7c2JmtWLEioPmgYrHOWasFZqVKlQIet3Llys7MOt+t9nyS1LRpU2f2zTffOLNff/3VHPeBBx5wZtZ1yLpedOzY0dxn/fr1zRwVQ6BtXUvT8jU9Pd2ZWe08/bHO99BQd2nk733VuiYEB7vvc1qt/SQpKyvLmeXl5Znbuvhr5Wi1H6UtYGC40w0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPVdiWgVb7uRo1ajizxYsXm+NedtllzsxqMxQfH+/MgoKCzH36aykYyD4lu81Qs2bNPNlnTk6OM7NaIwKSvVasNpeffPKJOe7+/fudWbVq1ZyZ1fbP37q12qhdccUVzmzhwoXmuDVr1nRmVrtBq2WZtW4l+9qXmJjozHbu3GmOi+NLoK3/wsLCzNx6L9q3b58zs1pgSnaLvujoaGe2d+9eZ+avzZ61T2tbf88lIiLCmQW6dv09F3+5i3U9kPy3R6zIuNMNAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6rsH26w8PDA9rO6t0p2T17MzIynJnVt9Jff06rh3BhYaEzi4mJMcdNT093Zk2aNHFmVatWdWYrVqww91mrVi0zBywtWrRwZnFxcc4sISHBHPeMM85wZh999JEzq169ujPz10+7Xr16zszq8Z2UlGSOa11PrKxSpUrOLCsry9zn119/7cwOHDhgbouKz3qf8mfjxo3ObM+ePea2S5cudWbW+9/mzZudmb/3VauvuNWPPDs72xzXet+1+opb+1y/fr25T3/9+XHkuNMNAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1XYloFBQUEBbRcbG2vmLVu2dGZWCyKr9U5ERIS5T6uNodVarHLlyua4K1eudGZ16tRxZhdeeKEzs9olSVJwsPv7vEDbPOLEYbWk/Pzzz51Zu3btzHGttoBNmzZ1ZnXr1nVmVptQSWrQoIEz27JlizObO3euOe727dudmdXi8Nxzz3VmVts2SerQoYMza9WqlTObM2eOOS4qhkDfjyUpMzPTmflrZWm18Q0LC3NmVvtRqwWfZL+fW+9x/o5RVFSUM7PaCoeEhDiz/Px8c5/+rmE4ctzpBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcqbD8Yf63rXCpVqhRwbrXtsfhrlXfgwAFnlpCQ4MwKCgrMca02hlbLstq1azszqz2RJBUWFjozq4UTIEmnnHKKM2vdurUzmzx5sjmu1Sq0atWqzmz58uUBjSlJb7/9tjNLTk52Ztddd5057ldffeXMli1b5sysY7tnzx5zn7Vq1XJmVitVnBis1ral4e/9xmrfZ7Xg27ZtW8D7tFoKWu9/ubm55rhW7WGtMasO8Pe6+GspiCPHnW4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8FiF7dMdaH/JKlWqBDxuXFycM7N6d/rr7x0ZGenMrF7AmZmZ5rjx8fHOzOpvWrlyZWeWlZVl7jMoKCigDJACX2MXXHCBOe6iRYucmbU+rbXpb11b/XOt9bdgwYKAx+3WrZszy87OdmbW85Sk7du3O7P27ds7M6tvOCoOr67t/tZYtWrVnJnVez4pKcmZ+fu7GtZ1KNC/uSHZ1z6rh7d1LUlJSTH3af2Ngq1btzqz4GDu57pwZAAAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOCxCtsy0GqbZYmKijJzq3VWbm6uMwsNdR9qf+2UrNwa11/LQKv1nzWuv7aKFtoCojRatWrlzIqKipzZ3r17zXGtdW210rP4Wyfdu3d3ZlYLsFWrVpnjWmvXaqGWnp7uzPy1Sdu8ebMzs1qoAf5Y7efq1KljbpuTk+PMrFZ61povLCw09xkdHe3MrDaF/q5RNWrUcGZW6799+/Y5s5iYmID3uXTpUmfG+7wbd7oBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgsQrbMtBqB7R69WpnZrUdk+z2RVZrLGu7QNsb+tunv1ZniYmJziwkJMSTfVrtlgJtzYYTx9y5c51Z06ZNnVlSUpI5rtVK78MPP3Rm8fHxzqxr167mPmfPnu3MWrRo4cystomStGXLFmc2b948Z2a1B4uLizP3abUfPeuss5zZ+++/b44L+Gt9a7HaZ1rtBK33ZKs1sD8HDhxwZv5aa1rvnaWpISyBvif7q6NOZNzpBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcqbMtAq4WO1f5q3759Ae8z0LaA4eHhAY8bFRXlzPLz881xrbY+gbYgio2NNfOgoCBntnbt2oD2iRPHvffeG9B2jz32mJlfeumlzqxRo0bO7MILL3RmP//8s7lPq02hdY3y11psw4YNzmzr1q3O7IwzznBmN998s7lPq5Xjtm3bzG0Bi9Wiz3o/KUnuYrUa9Ncy0GrtZ72X+2uzZ70nWy1+reditVaW/LcKdQn0uJ8IuNMNAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6rsH26t2/f7sxiYmKc2Zo1a8xxw8LCnFl2drYzs/ph7t+/39xnjRo1nNnu3bud2YEDB8xxredi9SK1eoNbx0CSUlJSAtonUBr+1oLVW/eUU05xZtY526ZNG3OfY8eOdWatW7d2ZllZWea4ixYtcmbnn3++M7N67H/77bfmPtPS0swcCJS1NgP9exJS4D2orfc/f7m/vtgW6/3a6vm/ceNGZ5aenm7uc9euXX7n9Vf89Rw/kXGnGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6rsC0DH3zwwYAyf8LDw51ZXl6eM7Na6QUH29/7WG2GrJY+/loiZWZmOrPQUPepYbVc/Pvf/27uEzgWatasaeZWi9HIyEhnNn78eGfWvn17c59WW8Bx48Y5s4SEBHPcW2+91Zlt2rTJma1fv96Z1a9f39yn1TIwJCTEmZWm5RvKj9K0kLO29TfuL7/84sx27tzpzKz2fFabXkmKjo52ZlbrUms+kr3urbaK1rpu0qSJuU+rRrDQMtCNO90AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwWIVtGegVq+WP1frPaptltSH0N25OTo4zs9oeSXaLQ2u+WVlZ5riAV4KCgpyZ1aYqNTXVHLdv377ObO3atc6sc+fOziw/P9/cZ/Xq1Z3Zqaee6sx+++03c9xZs2Y5s4YNGzoz6zqzceNGc5+AV6zz0l9rum3btjkzqxWv9f5ntf+VpNjYWGdmtfbLzc01x42KinJmVntgqx1qYmKiuU+rXSoCw51uAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPBYhe3THWg/X382b97szBo1auTMrP6c/nph7t+/35lZPUxDQ+2X15qT1ePb6vvpj1evC2BJS0szc2utWNvWrl3bmWVmZpr7tK4lzZs3d2ZNmzY1x7X6+e7YscOZWb24rZ7+gJeio6OdmdVPW5ISEhKcWUxMjDPbt2+fM7P6e0v2WrH2aWWS/Z5svXda1wOrBpDs64WF93I37nQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxW2ZaBXLWusNmBWSx+L1UZPslsGWu2U8vPzzXGt3GpFSMtAlDdxcXFm/tNPPzmzjIwMZ2adswsXLjT32b59e2f29ddfO7NevXqZ4y5ZssSZxcfHO7NWrVo5syZNmpj7nDdvnjOz2jEWFBSY46Ji8PceZ7Fa6lpr09+21pyqVavmzLKzs819WnWA9b66d+9ec1xrvla7QautaeXKlc193nHHHc7soYcecmbW8zzRcWQAAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgsQrbMtArW7dudWaFhYXOzGqhk5uba+7TaqsVFRUV8LjWfK3MaknmT2laRwHWOrLWyY8//miOe+GFFzqzjh07OrPNmzc7s8aNG5v7zMvLc2adO3d2ZsuXLzfH/f77751ZcnKyM6tfv74zS09PN/dpsa4lgD/WOqlbt665baVKlZyZ1TLXagVqrSHJbuObk5PjzOrUqWOOa7UFDAkJcWZJSUnOzN9zmTRpkpnjyHGnGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB47IVsGWu11rLZjkpSZmenMqlat6syys7OdmdUGTZLi4uKcmdWCz197PqsFUWio+9Sw2ib6E2jLN0AKvOWktW4le40tXbo0oPn4a8e1Zs0aZ5aSkuLMrGuJJJ133nnOLCwszJklJiY6s8jISHOfgMVqz+dPRkaGM/vkk0/MbS+//HJnZrWytNrt+nsuVltAq8VvrVq1zHHj4+OdmTXfatWqObNp06aZ+3z99dfN3MVq83ii4043AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHgsqKioqKhEDwywP+7xyHou/g5H9erVndk999zjzKzenieddJK5z4iICGcWaN9dSZo+fboze/fdd53ZokWLzHEtpTn25Ul5eS7lbV0H2mPfWkOS9H//93/O7KuvvnJmJ598sjMLDw8397llyxZn1r59e2dWuXJlc9zly5c7s7S0NGdm9Rd+4IEHzH1arN78Vq/k4xHrunyx+t1fcMEFzuy0005zZla/bEnav3+/M0tKSnJm1tqUpKlTpzozax1Zf1djypQp5j5PFEdzXXOnGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB4rcctAAAAAAIHhTjcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB4rd0X3gAkD1Gdsn2M9jRI70vmmpqcqaHCQFm1b5HzMmEVj1HlM51LPrSyMWTRGCcMSjvU0SmXQzEFq/VrrI9omaHCQJqyY4Ml8UHrl7TohSZ3HdNaYRWOO9TQkHZzLwCkDj/U0gGJY16XDuj72QstikAETBuidxe9IksKCw1Q3vq76t+qvh896WKHBZbKLUtm5f6ce++YxfbnqS23fv12VIyurVVIrPXb2Yzqj7hnHenplKjU9VfVH1jcfM7r3aA1oPeCIx04ZkaKBpw3UwNMGBjY5Q1Zelp6c9aQ+/vVjbd67WXERcWqR2EJ3n3a3ejfrXeb7w9F3vF8n/jg/SaoSVUXta7bXs+c9q1NqnHIMZ3bwG8PBswabjyl6vOiIx52ZOlNd3umiPQ/sUUJkQoCzc0sZkaL1GeslScFBwaoRU0MXNLpAw88frspRlct8fzj6WNeBY12feMpsRfRo1EOje49WTn6OJq2apNsm3aaw4DA9dNZDhz02tyBX4SHhZbVrv/p+3Fe5Bbl6p887alC5gbbv364Za2co7UDaUZvD0VKnUh1tvWer7+vh3w/XlNVTNL3/dN+/xUfE+/6/oLBAQUFBCg46tj/0uPmLm/XD5h/08gUvq0ViC6Vlpen7jd9XyNfoRHY8Xyf+OD9J2pa5TY98/Yh6ftBTG/614ajO48/uPf1e3dzuZt/X7d9orxvb3Kgb2t7wl48/FsfO5YnOT+iGtjeooLBAv6X9phu/uFF3TrlT717y7rGeGsoI6zowrOsTT5lVWhEhEUqKTVK9hHq6pf0t6tagmyb+NlHS7z8SGvrtUNV8vqaavtJUkrQxY6P+8ck/lDAsQVWeqaLeY3srNT3VN2ZBYYHunnq3EoYlqOqzVXX/tPtVpCP7ri89O13fbfhOz3R7Rl3qd1G9hHrqUKuDHjrrIfVq2sv3uBfmvqCTR52smKdiVOfFOrr1y1uVmZvpyw99jGLq6qlq/p/min0qVj3e66Gt+34vcEsy3ymrp+jMt8/0PabnBz21ZveaI3pOlpDgECXFJvn+iw2PVWhwqO/rKaunKPn5ZE1cOVEt/tNCEUMitCFjw1/+2KnP2D4aMGGApIM/llqfsV7/mvovBQ0OUtDgoGKPtY5LSUxcOVEPn/mwLmx8oVISUtS2Zlvd0fEOXXvqtb7HvLv4XbV7vZ3ino5T0vAkXfnpldqxf4cvn5k6U0GDgzRj7Qy1e72doodG6/S3TtfKXSuL7WvY7GGqMbyG4p6O03WfXafs/Oxi+Y+bf9R5756nas9WU/yweJ0z5hwt3LrwiJ4P/trxep348/ySYpPUOqm1HjzzQW3cu1E79+/0PeaBaQ+oyctNFD00Wg1GNtCjXz+qvIK8YuMM+XaIqj9XXXFPx+n6idfrwekPHvFHmP4oNjy22LoOCQpRXESc7+vL/+9y3T7pdg2cMlDVnq2m7u91/8uPqqVnpytocJBmps5UanqqurzTRZJU+ZnKChoc5FvvklRYVKj7p92vKs9UUdLwJA2aOSiguR+aZ61KtdSlfhdd3erqYuspLStNV3x6hWq9UEvRQ6N18qiT9eEvHxYbY1/OPvUb108xT8Uo+flkvTj3RX5UfhxhXQeGdX3irWvPbm9GhUUptyDX9/WMdTO0Mm2lpl01TV9c8YXyCvLU/b3uiguP03fXfKc5185RbPjBgu3Qds/PfV5jFo3R273f1uxrZmv3gd0av3x8sf2MWTTmsALwj2LDYxUbHqsJKyYoJz/H+bjgoGC91OMlLbt1md7p846+Xve17p92f7HHZOVlafjc4Xr3knf17TXfakPGBt077V5fXpL57s/dr7s73a2fbvxJM/rPUHBQsC756BIVFhX6P6hlJCsvS8/MeUZv9npTy25dpuox1f1uM+6ycapdqbae6PyEtt6ztdjddH/H5VAx/McL6p8lxSZp0upJ2pezz/mYvMI8PdnlSS2+ebEmXD5BqempxS4mh/z763/r+fOf1083/qTQ4FBdO/H3wv3jZR9r0MxBeqrrU/rphp+UHJesV398tdj2+3L36epWV2v2tbM177p5alylsS58/0JzbgjM8XKd+CuZuZl6b8l7alSlkapGV/X9e1xEnMb0GaNfb/tVI3uM1BsL39CL81705e8veV9DvxuqZ7o9owU3LlDd+Loa9dOoQA7PEXln8TsKDwnXnGvn6LWLXvP7+DqV6ujTf3wqSVp5+0ptvWerRvYYWWy8mLAY/XD9D3r2vGf1xKwnNG3NNF8+YMKAI/7dks17N+vz3z5Xx1odff+WnZ+ttslt9eWVX2rprUt1Y5sbddX4qzR/83zfY+6eerfmbJijiZdP1LSrpum7Dd/xjfBxjHVddljXFUuZf+CqqKhIM9bN0NTVU3VHhzt8/x4TFqM3e73p+9HIe0veU2FRod7s9aaCgg4umtG9RythWIJmps7U+Q3P14h5I/TQmQ/p0uaXSpJe6/mapq6ZWmx/8RHxalq1qfsJBodqTO8xuuHzG/TagtfUJrmNzql3ji5veXmxz3P98XPKKQkpGtJ1iG7+4ma9etHvBVleYZ5eu+g1NazSUJJ0e4fb9cSsJ3x5Sebbt0XfYl+/3fttJT6XqF93/qqW1Vs6n0dZyivM06sXvqpWSa1KvE2VqCrFvgv/83jWcYkOi1bTqk0VFhzmHP/1i19Xv3H9VPXZqmqV1Epn1jlTf2vxt2Kfuf/jXe8GlRvopQteUvs32iszN1Ox4bG+bGjXoTon5RxJ0oNnPqiLPrhI2fnZigyN1Ih5I3TdqdfpujbXSZKGdB2i6WunF7vb3bV+18PmljAsQbPWz1LPJj1LfMzgdrxdJw754rcvFPvUwXNpf95+Jccm64srvyj28atHzn7E9/8pCSm6N+1ejV06VvefcfCb9Jfnv6zrTr1O15x6jSTpsXMe01drvir2kzMvNK7SWM+e96zva+ubXOngT8WqRFWRJFWPqX7YZz9PqXGKHu/8+MGxqzbWK/Nf0Yx1M3Rew/MkScmxySW6WfDA9Af0yNePqKCoQNn52epYq6Ne6P6CL69VqZbuPf33b9Lv6HiHpq6Zqo+XfawOtTpoX84+vbP4HX3Q9wOd2+BcSQfPgZov1PS7bxxdrOuyx7quWMqs6D50UucV5qmwqFBXnnylBnUe5MtPrnFysc8iLd62WKt3r1bc03HFxsnOz9aa3WuUUStDWzO3qmPt379zCg0OVbua7VRU9PuPmC5pfokuaX6JObe+LfrqoiYX6bv132nepnmavHqynp3zrN7s9abvFwqnr52up2c/rRW7Vmhvzl7lF+YrOz9bWXlZig6LlnSweDxUWEoHT85DH2/IyC7ZfFelrdJjMx/TD5t+0K6sXb6Te0PGhqNWdIeHhJfpL5BYx0WSOtTqoBW3rzDHOLve2Vp751rN2zRP32/8XjPWzdDI0SM1uPNgPXrOo5KkBVsWaNCsQVq8bbH2ZO8pduxaJLbwjfXH55YcmyxJ2rF/h+rG19XyXcuLfYZOkjrV7qRvUr/xfb09c7se+foRzVw/Uzv271BBYYGy8rK0IePYfv6vIjierxOS1KV+F4266ODdqz0H9ujVn17VBe9foPnXz1e9hHqSpI+WfqSX5r+kNbvXKDM3U/mF+aoUUck3xsq0lbq1/a3Fxu1Qq4O+Xvd1CY5Q4Nomty3T8U6pXvwakRxXfF0/3e3pEo1z3+n3aUDrASoqKtLGvRv18IyHddEHF+nbAd8qJDhEBYUFeuq7p3y/RJ1bkKucghzfdXftnrXKK8xTh1odfGPGR5as2MLRwbr2Duu6YimzovvQSR0eEq6acTUP+63lmLCYYl9n5maqbc22ev/S9w8bKzE6saym5RMZGqnzGp6n8xqep0fPeVTXT7xej898XANaD1Bqeqp6ftBTt7S7RUO7DlWVqCqavWG2rpt4nXILcn0nyZ/v1AYFBR3xZ8wu/vBi1UuopzcufkM142qqsKhQLUe1LPajOK9FhUb57i4cEhwUXOxiJh28g10SZXFcJCksJExn1TtLZ9U7Sw+c+YCGfDtET8x6Qg+c+YDvx5HdG3XX+5e+r8SYRG3I2KDu73U/7NiFhfw+n0PP80g+vnP1hKuVdiBNI3uMVL34eooIjVCntzod1deoojrerxMxYTFqVKWR7+s3k99U/LB4vbHwDQ3pOkRzN85Vv3H9NLjzYHVv1F3xEfEau3Ssnp/7fJnP5UjFhBc/dofu4v1xXf/5M6qWP64jSQpSUEAfg6sWXc13TBtXbawRPUao01sHv9Ht1qCbnvv+OY38YaRG9Bihk6ufrJjwGA2cMpD1Vo6wrr3Duq5Yyuwz3YdO6rrxdUvUJqhNchutSlul6jHV1ahKo2L/xUfGKz4yXsmxyfph0w++bfIL87Vgy4IymW+LxBban7tf0sE7qIVFhXq++/M6rfZpalK1ibbs23JE45VkvmlZaVqZtlKPnPWIzm1wrponNtee7D1l8nxKKzEmUVszi/9S6NIdS4s9JjwkXAWFBUdtTi0SW/h+4rBi1wqlHUjTsHOH6ax6Z6lZtWbFvjsvqebVmhd7jSRp3uZ5xb6es3GO7uxwpy5sfKFOqn6SIkIitCtrV6meCw4qb9eJQ519DuQdkCR9v/F71Uuop3+f/W+1q9lOjas29rXOOqRp1ab6cfOPxf7txy3Fvz4aDhUvf1zXf+7/f+ju49Fc1yFBIZLkO6ZzNs5R76a99c9T/qlWSa3UoHID/Zb2m+/xDSo3UFhwWLFjmpGdUewxOLZY10cP67p8O2Z94vqd0k/Voqup99je+m79d1q3Z51mps7UnZPv1Ka9myRJd3W8S8PmDNOEFRO0YtcK3frlrUrPTi82zvjl49XslWbO/aRlpanrO1313pL3tGT7Eq3bs06fLPtEz855Vr2bHuz/3KhKI+UV5unlH17W2j1r9e7id/XaT/5/YeHP/M23clRlVY2qqtcXvq7Vu1fr63Vf6+6pdx/xfrzQNaWrvlz1pb787Uut2LVCt3x5y2HHOiUhRd9u+Fab924+oiJ0/ub5avZKM23eu9n5mM5jOuu/P/1XC7YsUGp6qiatmqSHZzysLvW7qFJEJdWNr6vwkHC9PP/gazRx5UQ9+e2TR/w87+p4l95e9LZG/zxav6X9pse/eVzLdiwr9pjGVRrr3SXvavnO5fph0w/qN66fokKjjnhfKL2jdZ04JKcgR9syt2lb5jYt37lcd0y6Q5m5mbq46cWSDt7R2ZCxQWOXjtWa3Wv00g8vafyK4r/cdUeHO/TWz2/pnUXvaFXaKg35doiWbF9y2E+XvBYVFqXTap+mYbOHafnO5ZqVOkuPfPNIscfUi6+nIAXpi9++0M79O4/o86kPTX9I/cf39/u4fTn7tC1zm7bu26r5m+frvmn3KTE6UafXOV3SwfU2be00fb/xey3fuVw3fX6Ttu/f7ts+LiJOV7e6WvdNu0/frPtGy3Ys03UTr1NwULCCdHSPKcoG6zpwrOvy7ZgV3dFh0fr2mm9VN76uLv34UjX/T3NdN/Fg+7ZDn6O65/R7dNUpV+nqCVer01udFBced9jntzJyMrQybeVf7ULSwe4lHWt11IvzXtTZo89Wy1Et9eg3j+qGNjfolQtfkSS1SmqlF85/Qc/MeUYtX22p9395X0+fW7LPNf2Rv/kGBwVr7N/GasGWBWr5akv9a+q/9Nx5zx3xfrxw7anX6upWV6v/hP46Z8w5alC5gbqkdCn2mCe6PKHU9FQ1fKmhEp8r+Y8As/KytDJtpflxle4Nu+udxe/o/PfOV/P/NNcdk+9Q94bd9fHfPpZ08E78mN5j9Mmvn6jFf1po2OxhGn7e8CN+npe1vEyPnv2o7p9+v9q+3lbrM9brlna3FHvMW73e0p7sPWrzehtdNf4q3dnxzhJ1eEHZO1rXiUMOtdRMfj5ZHd/sqB+3/KhP/v6JOqd0liT1atpL/zrtX7p90u1q/d/W+n7j93r07EeLjdHvlH566MyHdO+0e9Xm9TZat2edBrQaoMjQyLI5KEfg7V5vK78wX21fb6uBUwdqSJchxfJalWppcOfBenDGg6oxvIZun3R7icfemrm1RL/n8NjMx5T8fLJqvlBTPT/oqZjwGH111Ve+zhGPnP2I2iS3Uff3uqvzO52VFJukPs36FBvjhe4vqFOdTur5YU91e7ebzqhzhponNj8mxxSlx7ouHdZ1+RVU9OcP8uK4N2bRGI1ZNEYzB8w81lMBUALnvXuekmKTzD8c0XlMZw1oPSCgvxZ7otmfu1+1Xqil589/3teJCDjaWNdl60RY18f+b7QCQAWSlZel1356Td0bdldIcIg+/OVDTV87XdOumuZ/Y/yln7f+rBW7VqhDrQ7KyMnwtSTt3az3MZ4ZThSs67J3Iq5rim4AKENBCtKkVZM09Luhys7PVtOqTfXpPz5VtwbdjvXUyrXhc4dr5a6VCg8JV9uabfXdNd+pWnS1Yz0tnCBY19440dY1Hy8phxZtW6RF2xbx4yqgAhmzaIxaJ7VW66TWx3oqAMoI6xp/RNENAAAAeOyYdS8BAAAAThQU3QAAAIDHKLoBAAAAj5W4e8nR/qtLQHlWXn5VgnUNlBzr+sQQFhbmzPLy3H/kzZ++ffs6s/DwcHNb69zbuXOnM5sxY4b/iTlY51F5WQslcTSfC3e6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwWIn/IiW/DQ2UXHn5zW7WNVByrOuKIzjYfc+xsLDQmVWvXt0c95VXXnFmTzzxhDNbunSpOa7l5ptvdmZJSUnObNCgQQHvsyJ1NqF7CQAAAFCBUHQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAY/TpBjxQXvqUsq6BkmNdly9e9JK+7rrrzPx///ufM8vLywton6XRu3dvZxYXF2du+9577zmzkJAQZ1ZQUOB/YscR+nQDAAAAFQhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHgs91hMAAAAoa+Hh4c4sJyfHmXXp0sWZ7dy509yn1RYwMjLSmWVnZ5vjWu0Preyzzz5zZj179jT3Wb16dWe2Y8cOZxYcbN/PLSwsNPOKjDvdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8FhQUVFRUYkeaLSkAVBcCZfVMXcs1vWZZ57pzPy1ksrKygp4W4sXLaxCQ+2OrOnp6c6sNOeP9Vys1zssLOyozyc2NtbcNiYmxpk1adLEmS1fvtyZ/fTTT+Y+Lazr44u/NZafnx/QuPfee68zGz58eEBjesl6va1z1t950qdPH2c2fvz4gMc93tbR0ZwPd7oBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMbvfDgAE4Nxzz3VmY8eOdWZWizhJioiIcGbBwYHfQyhNWy0v9lma7QIdNyQkpMzH9Mdfq8Z9+/Y5M+tc2blzpzOrVauW/4mhXCjNmr/44oud2bZt2wIeNzw83Jnl5uYGPK7FWp9WK9C8vDxzXGuNWa1fZ8+ebY5rXWsKCgrMbcs77nQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMfo0w2gzP3nP/9xZrGxsc7M6sssSfv373dmVu9Xf/1xA+3TXZo+waGhgV1+S9Mz29rWq17cFn/7tPoIW8c+Pz8/4Dmh/ChN3+sGDRo4s5EjRwY87vF27vnrhW+ZPn26M+vTp48z89en26u/fVAecKcbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqNlYDlXp04dZ/bqq6+a237++efO7PXXXw94Tl7w12LoWLQ7q+iqV69u5jt27HBmU6dOdWY333xzwHMKDw93ZtY5UprzJ9D2Vv7OyWNxzgZ6jErT4sva1l87M+sYWS0DrfOkSpUq5j53795t5ji6rNfZ3/nTpEkTZ5aZmRnQfCIjI808JycnoHG9UlBQ4MysNquStG3bNmeWkZHhzBITE81xd+7caeYVGXe6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4LGgohL2rSpNyyh4580333Rm1apVM7eNj493ZikpKc7Maif49NNPm/s8FqwWYUOGDHFmH3zwgTnu7NmznVl5aWForevWrVub286fP9+ZHThwwJnl5+cHNB9JCgsLC2jc0rwe1py8Grc0Ap2vv/ZrgbLmY7Uzk+x2cXl5ec4sLi4u4H1WqlTJmVWEdV3eREREODN/7fms9qRpaWnO7JNPPgloPiWZk8uxaIvrr2WgtVbatGnjzLp162aO++yzz9oTO8qO5rrmTjcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIw+3UdJeHi4M8vNzQ143M8//9yZJSQkmNtu2LDBmVm9SBs0aODMrP7ekvTAAw84szfeeMPc1tK/f39n1qdPH2d2yimnOLNJkyaZ+7zzzjudWUXo5/vvf//b3LZGjRrO7B//+Iczs84tf8fNX1/ZQMe1elQfi37aXgm0T3dp5upVL/NAe3jHxsaa+7TO3YkTJ5rbHi/K2/u19VqWpn/8+PHjndlll13mzErznmwpTc9/69pnHT+L9bcNJHu+1uvi773zpptucmYbN240t/UCfboBAACACoSiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj4Ue6wmUN6Gh7kNWUFDgzErTguiWW25xZuedd54zGzFihDnudddd58yWL1/uzFatWuXM1q9fb+7zxhtvdGb33HOPM4uJiTHHTU9Pd2aZmZnObP/+/c6scuXK5j4rAqv945AhQ8xtv/rqK2dmtWyzXktru9Lw11LLahnlVfs1a5/WtcQf67kei+fi1bjW87Sut/6OwSWXXOJ/YihTpWkLaJkzZ44z86otoKU068S6JpTmemEJdL4PP/ywmVt1wKOPPhrQPssL7nQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAY8d1y0CrJVRISEjA2+bk5AQ8p/z8/IC3dXnyySfNvG3bts4sMjIy4P0OHTrUmVmt/9q3b+/MZs+ebe4zNTXVmdWoUcOZhYeHm+NarY2sc8VqUdemTRtznxXBNddc48z8rZPVq1c7s6ioKGd2xhlnOLO0tDRzn9ZrWd7a4VnzrVSpUsDjWteo7OzsgMb06hj4a+VoHSNr7VrXi4iICHOfr7/+ujOz1gvcrFa7kn3O/vOf/3RmtWvXNse1rmHW+1+1atWcWXx8fMD7DAsLc2Y1a9Y0x/3vf//rzNauXevMqlSp4sz8tU3cvHmzM9uxY4czu/baa81xrZbEFR13ugEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOCxoKIS9oKyWjv5a9VVWFjozKwWOlZLqGOlXbt2zuzGG290Zg0aNHBm+/fvN/f50EMPObNff/3V3NYL//jHP5zZ008/bW5rtSiyWhtZLQwlKSsry5lZ55/Vgq5169bmPq3Wd7/88ou57fHCWrv+Lg1WWyirZdtrr73mzDZt2mTuMzY21sxd/F2jAj0OVuZvn1ZbxT179jiz6Ohoc1xrv9brYl2H/LX2C/Q4WGvT336ta4nVctHfPq3j61XrxLLmVfvMQPlr+Wq9ltZ7yplnnmmOa7W8s+oL63X2935tbWu1+PXXVtFivY8VFBQ4M3/nc0xMjDPLzMx0Zv7aKr711lvO7IsvvjC39cLRXNfc6QYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj5W4MWRp+tFa/SetXpnWduecc465z5SUlICypKQkc9waNWo4M2u+W7dudWb++n6+9NJLzqxu3boB7VOSdu7c6cyWLl3qzKye2TNnzjT3eckllzizxYsXOzOr764kRUREODOrL29+fr4zO3DggLlPf3Mq73bt2mXm1rG78sorA9qn1cdWsvvRWvz1YQ20F7fVA9fqwy3Z180ePXo4M3894AcOHOjMhg8f7sx2797tzKz15U+gffL95db11jq21t+GgDesPtz++Ht/tFjnj/W3Hfbt2+fMSnP+WO8p/vp0W9db6/ha19RA/+6BJMXFxQU8btWqVQPeb3nHnW4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4rMQtA60WTFZLKH+51Vrm5ZdfdmbJycnmPq0WOpUrV3ZmaWlp5rgbN250ZtHR0c6sZcuW5riWFStWODOr7Z81H0mqXr26M+vVq5czs9qHWS3UJGndunXOzGqx5m9cq52S1fLNauFktbOUpHr16pl5ebdq1Sozf/PNN52Z9XplZ2c7M3+t6fy1Jy3r7fwJDnbft7AyyW491rRpU2fm7xglJiaauUug7flKozStHK35Wtf/0rRJw9FntcX1txbi4+OdWZ06dZyZ9V7kr4Wh9Z68d+9eZ5aTk2OOGx4e7sysNW9lVi0kSenp6c7MOg61a9c2xz2R1yB3ugEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOCxEveB8tfayTJ+/Hhn1rFjR2c2c+ZMZ7ZhwwZzn4G2KbTaeEl2255TTjnFmb3wwgvObP369eY+P/30U2c2b948c1vLrl27nNn27dudmXUMrBZNkhQXF+fMrBZ9/s4/6/W2WrdZrdCstmOSFBkZaebl3T//+U8znzJlijOzzoNKlSo5M3+vs1et/6zzwF9LVBd/1xKrzaW1/qy2pVLg56V1bP0dd+t1s7YtzftKadauxTo/cfQlJSU5M39rzGr9Z72PWe9FpakREhISnJm/loEW63n6a11qsVoy7tu3z5n5W39VqlQJeE7lHXe6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjJe7TbRkxYoSZWz0va9as6cxuueUWZ3b++eeb+0xPTzdzl927d5u5NV/reV5++eXO7OKLLzb3OWDAAGc2evRoZ7Z8+XJz3OjoaGdm9c8NCQlxZtnZ2eY+rZ6hVlZQUGCOa/VOtfosWz2ErX6rkrRlyxYzL+/Wrl1r5laP+D59+jgzq4erV/2g/bF6Zlv8nZcW67ns2LHDmW3bts0cd//+/QHNx1on/vppW7mV+eshbM0p0NfMH39/awBHl3UOWL3aJfu9yjp/Aj2fJfu9yOqhb/XE9sfq010a1nugtU9/8zmR1xh3ugEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOCxMmkZGBMTY+ZvvfWWM7Nax5x++ukBz8lqWbN9+3ZnNmfOHHNcq32f1aqrZ8+e5riWyZMnOzOrTaHVnkgKvOWWtU+rRZMkZWVlOTOrNZS/FkTWfq1xrWNktVSUpJUrV5p5effVV1+ZudVe02p/ZbXcstoJSoG3BfTXmi5QVstAf3M9cOCAM6tWrZoz69q1qzluYmKimbuUpuVioPy1XAy05VtpXm9/5yCOrkDPZ8luKWhl1jXKej+R7Guftc/StP2zWvtZdYm/92vruVqtEf2tv9jYWDOvyLjTDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI+VuGVggwYNnNnSpUvNba2WNY0bN3ZmSUlJzsxfSxqrhY7V0ic7O9sc19rWajW1ZMkSZ/bUU0+Z+9yxY4eZuyQkJJi51fqvZs2azsxqI2S1WpLstmTWuFarQUnat2+fM0tPT3dm1rn76aefmvsM9HUpL8444wwzt1qFWudBZmZmwHMKlL82X4G2mLOep78WfFbr0kWLFjkzf60++/bta+YuXrUMtMb1d72wrlHWa1aaloHW6wJv9OjRw5lZtceWLVvMca06wDpHrDqgNK39rPPdasHnj9X61mpN6u+5WOvPan/orxWhVUdVdNzpBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMdK3DIwLS3Nme3du9fctkuXLs4sNTXVmb366qvOzGpXI0lt27Z1ZnPnznVmderUMcc966yznJnVts5qkbNgwQJzn2vWrAlon506dTLHtY691TLJyqy2iZJUUFAQUFaaloFWKyYrq1+/vrnP6OhoMy8Pzj77bGe2fv16T/ZptRr0dy2xWlGVpk2cv5aCLtZ8rPNZkqpXr+7Mvvzyy4DHrVevnjOz2g36u6YGyjq2/l4za31arWjj4+Od2bFoWQnb1Vdf7cx27tzpzPyds/5aUrpYbS6tNoSSfb5b753+Wnb6a8MXyLj+1p91/EpzLfaqPWl5wJ1uAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPBYiRuzZmRkOLPRo0eb21atWtWZtW/f3pk1bNjQmVn9ZiVp3bp1zqxKlSrObPPmzea49913nzOzenAmJCQ4M3/9Nzt06ODMrJ693333nTmuxepBbfXu9Nd/MzIy0plZx6FGjRrmuNZ8rZ6h1vHbvn27uc89e/aYeXnw7bffOjN//Wgtd999tzN74YUXnJm/ftnWnKxzL9A+3JJ9/ljj+ustb/UrP/PMM/1PzME6pw8cOODMStPn3Dr2gWaSlJOT48ysY2/1b37sscfMfaLsJSUlmbn1nmydA9b7iRT434Ww3k+s93lJiouLC2ifpbn2WccoNjY24H1a78lWDeZVz/GKgDvdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8FiJWwYG2jZLktLS0pzZlClTSjqFYuLj483calFUr169gLaT7FY3gbYl89f2yGoHZLUg8sd6TdPT051Zbm5uwPsMtIXT3r17zXH379/vzHbt2hVQlpmZae6zovvss8/M/Ndff3VmEyZMcGb79u1zZmFhYeY+rXaVFn8tqqwWc9Z5aa1df+ePdc5a1xJ/x8Ba11Zmtfnyd52x2oeVphWhdRwSExOdmbWun3nmmYDng8D07NnTzK32tpdddpkzK837n8W6Xljvx5K9rq1z1t/1wlpjVvvaJk2aODOrNpO8uZZItAwEAAAA4CGKbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPFbiloGBtsPzSkZGRsD5ypUry3o6QIVz/vnnm3mjRo2c2b/+9S9nZrXUCrQloL9t/bWwCrSVZUREhDOLiYkx92nNybre+nsuFmtc63mGh4eb40ZFRTkza77+2gla2y5dutSZtWrVyhwXR1fbtm3N/Msvv3RmN9xwgzOzWuVJgbems9oCJiQkmNtu3rzZmWVlZTkzf+0PDxw44MySk5PNbQMZU7JbM5emranVorWi4043AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHjsxG2WCMC0YMECM9+6daszq1atmjM75ZRTnFlp+jYfb3Jzc83ceq6B9hf2Sml6CFs9eRcuXGiO+9hjjzmzWbNmmdvi+OHv73xY/bbDwsKcmb/rhbWtJS8vz5n5Wws1atRwZlb/b3/jVqlSxZlZffR37doV0HaSvXata5S/6/Txdn07mrjTDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI/RMhDAXxowYMCxnsJhrFZTlStXdmZRUVHmuFabr4YNGzqzxYsXO7MVK1aY+4R3rJZl/tqZ+WtvhyO3ZMkSM69evbozs9rsRUdHm+NaLQOtFn3WOVBUVGTuM9D5+DvvAm1jaLVV9NdyMT8/35lZxyErK8sc119ekXGnGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6jZSCAcsNqjbVr166Ax924caMz++mnnwIeF8eG1c6sNC3fEJj//ve/Zn7++ec7M6utXUREhDmu1W4w0DZ7VttSKfB2lZGRkea4Vvs+a065ubkBZZIUGuouEUvTVtE69hUdd7oBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMVoGAgCAY2bq1KnOLDMz05llZ2eb41otBStVquTMrJaB+/btM/cZFhbmzKwWfFu3bjXHjY+Pd2ZWO8Ht27c7s5iYGHOf+/fvD2ifCQkJ5ri1atUy84qMO90AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4DH6dAMAgGPm0ksvdWY9evRwZnv37jXHjY2NdWZFRUXOrKCgwJlZvaslu0f1kCFDnNmmTZvMcb1Qt25dM9+wYUNA44aHh5u51T+9ouNONwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADwWVGT1zQEAAABQatzpBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMfKXdE9YMIA9Rnb51hPo8SOdL6p6akKGhykRdsWOR8zZtEYdR7TudRzKwtjFo1RwrCEYz2NUhk0c5Bav9b6iLYJGhykCSsmeDKfE0V5W8tem5k6UykjUo71NCQdnEvQ4CClZ6cf66ngOHas1nDKiBSNmDfC9/XxfD1mXf+1P587ncd01sApA4/ZfI6W0LIYZMCEAXpn8TuSpLDgMNWNr6v+rfrr4bMeVmhwmeyiVHbu36nHvnlMX676Utv3b1flyMpqldRKj539mM6oe8axnl6ZSk1PVf2R9c3HjO49WgNaDzjisVNGpGjgaQM18LSBgU3OkJWXpSdnPamPf/1Ym/duVlxEnFokttDdp92t3s16l/n+8NeO57UcNDjIzB8/53EN6jzo6EzmGPDq+Xce01mtk1prRI8RgU3MGHfW+lnO/Jx652jmgJlluk8c32tYOv7nd7SVt3UtHbzZds1n10iSghSkmnE1dV7D8/RMt2dUPaZ6me+vIimzM7xHox4a3Xu0cvJzNGnVJN026TaFBYfpobMeOuyxuQW5Cg8JL6td+9X3477KLcjVO33eUYPKDbR9/3bNWDtDaQfSjtocjpY6lepo6z1bfV8P/364pqyeoun9p/v+LT4i3vf/BYUFCgoKUnDQsf2hx81f3KwfNv+gly94WS0SWygtK03fb/y+Qr5Gx7vjdS3/8bz+aOlHemzmY1p5+0rfv8WGx/r+v6ioSAVFBcflm3igx6y8Pf9xl41TbkGuJGljxkZ1eLODpl81XSdVP0mSDjsGeQV5CgsJO+rz9Odov1+VheN1DQcyv/LiRFnXh1SKqKSVt69UYVGhFm9brGs+u0Zb9m3R1H9OPdZTC9jRWAtlVmlFhEQoKTZJ9RLq6Zb2t6hbg26a+NtESb//GGHot0NV8/maavpKU0kHL8T/+OQfShiWoCrPVFHvsb2Vmp7qG7OgsEB3T71bCcMSVPXZqrp/2v0qUtERzSs9O13fbfhOz3R7Rl3qd1G9hHrqUKuDHjrrIfVq2sv3uBfmvqCTR52smKdiVOfFOrr1y1uVmZvpyw99jGLq6qlq/p/min0qVj3e66Gt+35fMCWZ75TVU3Tm22f6HtPzg55as3vNET0nS0hwiJJik3z/xYbHKjQ41Pf1lNVTlPx8siaunKgW/2mhiCER2pCx4S9/tNNnbB8NmDBA0sHvmtdnrNe/pv5LQYODDvvu3DouJTFx5UQ9fObDurDxhUpJSFHbmm11R8c7dO2p1/oe8+7id9Xu9XaKezpOScOTdOWnV2rH/h2+/NCPzmasnaF2r7dT9NBonf7W6Vq5a2WxfQ2bPUw1htdQ3NNxuu6z65Sdn10s/3Hzjzrv3fNU7dlqih8Wr3PGnKOFWxce0fMpz47XtfzH8zo+Ml5BCvJ9vWLXCsU9HafJqyar7ettFTEkQrM3zFZOfo7unHynqj9XXZFDInXm22fqx80/+sb8q49HTVgxodj5vXjbYnV5p4vino5Tpacrqe3rbfXTlp98+ewNs3XW6LMUNTRKdV6sozsn36n9uft9ecqIFD0560n1H99flZ6upBs/v/GInndpnv9f/fh/4JSBvo+nDZgwQLPWz9LIH0b61vUfX7cFWxaYa8lSJaqKb36JMYmSpKrRVX3/VvXZqhr14yj1+rCXYp6K0dDvhkqSRv04Sg1faqjwJ8PV9JWmenfxu74x/+rjd+nZ6QoaHKSZqTMlSXsO7FG/cf2U+FyiooZGqfHLjTX659G+x/s7V13neHlyvK7hkszP33tRSfyy/Rd1faerooZGqeqzVXXj5zf63s+/WvOVIodEHvYRi7sm36Wu73T1fc26th2aZ824mrqg8QW6s+Odmr52ug7kHfjLj2yOmDfiiD5ms+fAHvUf31+Vn6ms6KHRuuD9C7QqbZUkaW/OXkUNjdLkVZOLbTN++XjFPR2nrLwsScfnWvfs9mZUWJTvLockzVg3QyvTVmraVdP0xRVfKK8gT93f66648Dh9d813mnPtHMWGHyzYDm33/NznNWbRGL3d+23Nvma2dh/YrfHLxxfbz5hFY8wfz8SGxyo2PFYTVkxQTn6O83HBQcF6qcdLWnbrMr3T5x19ve5r3T/t/mKPycrL0vC5w/XuJe/q22u+1YaMDbp32r2+vCTz3Z+7X3d3uls/3fiTZvSfoeCgYF3y0SUqLCr0f1DLSFZelp6Z84ze7PWmlt26rEQ/Dhp32TjVrlRbT3R+Qlvv2Vrsu3N/x+VQMfzHk/3PkmKTNGn1JO3L2ed8TF5hnp7s8qQW37xYEy6foNT01L+8EP/763/r+fOf1083/qTQ4FBdO/H3wv3jZR9r0MxBeqrrU/rphp+UHJesV398tdj2+3L36epWV2v2tbM177p5alylsS58/0JzbhXZ8bKWS+LBGQ9q2LnDtPy25Tqlxim6f9r9+nT5p3qnzztaeNNCNarSSN3f667dB3aXeMx+4/qpdqXa+vGGH7XgxgV68IwHFRZ88I7smt1r1OO9HurbvK+W3LxEH/3tI83eMFu3T7692BjD5w5Xqxqt9PNNP+vRsx8t1XO0/Pn5+zOyx0h1qt1JN7S5wbeu61Sq48uttXSoAD5U7AZi0KxBuqTZJfrlll907anXavzy8bpryl26p9M9WnrrUt3U9iZd89k1+mbdNyUe89FvHtWvO3/V5H6Ttfy25Rp10ShVi64mSSU6V6XDz/Hy7nhfw3+eX2nsz92v7u91V+Woyvrxhh/1yd8/0fS103X7pINr8tz65yohMkGf/vqpb5uCwgJ9tOwj9Tu5nyTWdSDrOio0SoVFhcovzD+i7VwGfDZAP235SRMvn6i5181VUVGRLvzgQuUV5KlSRCX1bNJTHyz9oNg27//yvvo066PosOjjdq2X+c8oioqKNGPdDE1dPVV3dLjD9+8xYTF6s9ebvlv37y15T4VFhXqz15sKCjq4SEf3Hq2EYQmamTpT5zc8XyPmjdBDZz6kS5tfKkl6redrmrqm+I8u4iPi1bSq+7uT0OBQjek9Rjd8foNeW/Ca2iS30Tn1ztHlLS8vdvL+8XPKKQkpGtJ1iG7+4ma9etHvBVleYZ5eu+g1NazSUJJ0e4fb9cSsJ3x5Sebbt0XfYl+/3fttJT6XqF93/qqW1Vs6n0dZyivM06sXvqpWSa1KvE2VqCoKCQpRXESckmKTDhvPOi7RYdFqWrWpr1D5K69f/Lr6jeunqs9WVaukVjqzzpn6W4u/FfvM/R/vejeo3EAvXfCS2r/RXpm5mcV+BDe061Cdk3KOJOnBMx/URR9cpOz8bEWGRmrEvBG67tTrdF2b6yRJQ7oO0fS104vd7e5a//e7HYfmljAsQbPWz1LPJj1LfMzKu+NtLZfEE52f0HkNz5N08M131E+jNKbPGF3Q+AJJ0hsXv6Fpa6fprYVv6b4z7ivRmBsyNui+0+9Ts2rNJEmNqzb2ZU/Pflr9Tu7nu340rtpYL13wks4Zc45GXTRKkaGRkg6eU/ecfk+pnltJ/PH5l0R8ZLzCQ8IVHRZ92LqW7LUUFhymplWbKjosOuD5XtnySl1z6jW+r6/49AoNaD1At7a/VZJ0d6e7NW/TPA2fO1xd6ncp0ZgbMjbo1KRT1a5mO0kHr+eHfLTsI7/nqnT4OV5eHe9r2DW/0vjglw+UnZ+t//X5n2LCYyRJr1z4ii7+8GI90+0Z1YitoctbXq4Pln7gex+YsW6G0rPTfe/PrOsjW9er0lbptQWvqV3NdoqLiCvxdtZ4E1dO1Jxr5+j0OqdLkt6/9H3VebGOJqyYoL+f9Hf1O7mfrhp/lbLyshQdFq29OXv15aovNf6yg98IHq9rvcyK7i9++0KxT8UqrzBPhUWFuvLkK4t9+P/kGicXe1KLty3W6t2rFfd08RcoOz9ba3avUUatDG3N3KqOtTv+PtngULWr2U5FRb//SOuS5pfokuaXmHPr26KvLmpykb5b/53mbZqnyasn69k5z+rNXm/6fqFw+trpenr201qxa4X25uxVfmG+svOzfS+odLB4PFRYSlJybLLv4w0Z2SWb76q0VXps5mP6YdMP2pW1y3eHe0PGhqNWdIeHhJfou+WSso6LJHWo1UErbl9hjnF2vbO19s61mrdpnr7f+L1mrJuhkaNHanDnwXr0nIN3EBZsWaBBswZp8bbF2pO9p9ixa5HYwjfWH59bcmyyJGnH/h2qG19Xy3ct183tbi627061O+mb1N/vpG3P3K5Hvn5EM9fP1I79O1RQWKCsvCxtyNhwpIemXDqe17I/hwotSVqzZ43yCvN0Rp3fv3ELCwlTh1odtHzX8hKPeXenu3X959fr3SXvqluDbvp7i7/7zvfF2xdryfYlev+X932PL1KRCosKtW7POjVPbH5wXsnt/nLssvbH518WrLVUq1Itv+vanz/Pd/nO5bqxTfEf059R5wyN/GFkice8pd0t6vtxXy3culDnNzxffZr18b1x+ztX9f8vY38+x8ub430N+5tfaSzftVytklr5Cm7p4DlUWFSolWkrVSO2hvqd3E+nvXWatuzboppxNfX+L+/roiYXKSEyQRLruiTrOiMnQ7FPxaqwqFDZ+dk6s+6ZerPXm2Uyv+W7lis0OFQda/1+vlWNrqqm1Zr6rt0XNr5QYcFhmrhyoi5vebk+/fVTVYqopG4Nukk6ftd6mRXdXep30aiLRik8JFw142oe9kH/mLCYYl9n5maqbc22ev/S9/VnidGJZTUtn8jQSJ3X8Dyd1/A8PXrOo7p+4vV6fObjGtB6gFLTU9Xzg566pd0tGtp1qKpEVdHsDbN13cTrlFuQ6yu6/3ynNigo6Ig/03bxhxerXkI9vXHxG6oZV1OFRYVqOaplmf1orSSiQqN83/kdEhwUXOziKR28g10SZXFcpIMF0Vn1ztJZ9c7SA2c+oCHfDtETs57QA2c+4PtRUfdG3fX+pe8rMSZRGzI2qPt73Q87dn/8ZaxDz/NIPr5z9YSrlXYgTSN7jFS9+HqKCI1Qp7c6HdXX6Fg63tey5Y9vtCURHBR82LmaV1D8vB/UeZCuPPlKffnbl5q8erIen/m4xvYdq0uaX6LM3Ezd1PYm3dnxzsPGrhtfN+B5BerP+ynJ87OUdi35E8jrJanYterPz+eCxhdo/cD1mrRqkqatnaZz/3eubmt/m4afP7zE5+qfz/Hy5nhfw9b8SvNeVFLta7VXw8oNNXbpWN3S7haNXz5eY/qM8eWsa//iwuO08KaFCg4KVnJssqLCospsfiURHhKuv7X4mz745QPfTy4uO+ky37l0vK71MvtMd0xYjBpVaaS68XVL9Ju1bZLbaFXaKlWPqa5GVRoV+y8+Ml7xkfFKjk3WD5t+8G2TX5ivBVsWlMl8WyS28P1SxIItC1RYVKjnuz+v02qfpiZVm2jLvi1HNF5J5puWlaaVaSv1yFmP6NwG56p5YnPtyd5TJs+ntBJjErU1s/gvhS7dsbTYY8JDwlVQWHDU5tQisYXvJw4rdq1Q2oE0DTt3mM6qd5aaVWtW7G56STWv1rzYayRJ8zbPK/b1nI1zdGeHO3Vh4wt1UvWTFBESoV1Zu0r1XMqT8raWXRpWbqjwkHDN2TjH9295BXn6cfOPvp+MJEYnal/OvmK/IPVXPfKbVG2if3X6l7666itd2vxSjV508Bfz2iS30a87fz3seTeq0ui4uFOaGJ142C81L9q+qNjXR3tdW5onNi/2ekkH1+MfXy9Jxa5Vf/V6JcYk6urWV+u9S9/TiO4j9PqC1yX5P1criuN9DVvzK8l7kaV5teZavG1xsTU9Z+McBQcFF/voS7+T++n9X97X5799ruCgYF3U+CJfxrr2LzgoWI2qNFKDyg2KFdyH5rctc1uxb57+PD9L82rNlV+Yrx82/36+pWWlaeWulcV+qt3v5H6asnqKlu1Ypq/Xfe37TL50/K71Y9Ynrt8p/VQtupp6j+2t79Z/p3V71mlm6kzdOflObdq7SZJ0V8e7NGzOME1YMUErdq3QrV/eethvHI9fPl7NXmnm3E9aVpq6vtNV7y15T0u2L9G6Pev0ybJP9OycZ9W76cH+z42qNFJeYZ5e/uFlrd2zVu8uflev/fTaET8nf/OtHFVZVaOq6vWFr2v17tX6et3Xunvq3Ue8Hy90TemqL1d9qS9/+1Irdq3QLV/ectixTklI0bcbvtXmvZuPqAidv3m+mr3STJv3bnY+pvOYzvrvT//Vgi0LlJqeqkmrJunhGQ+rS/0uqhRRSXXj6yo8JFwvzz/4Gk1cOVFPfvvkET/PuzrepbcXva3RP4/Wb2m/6fFvHteyHcuKPaZxlcZ6d8m7Wr5zuX7Y9IP6jeunqNAox4g4Wmv5SMWEx+iWdrfovmn3acrqKfp156+64fMblJWXpetOPfhZzo61Oyo6LFoPz3hYa3av0Qe/fKAxi8f4xjiQd0C3T7pdM1Nnan36es3ZMEc/bv5Rzasd/PHyA2c8oO83fq/bJ92uRdsWaVXaKn224jPfL20da13rd9VPW37S/xb/T6vSVunxbx4/rIBJSUjRD5t/UGp6arGPvPmzee9mNXulmeZvnl9m873v9Ps0ZtEYjfpxlFalrdILc1/QuOXjdO/pB38xOyosSqfVPk3DZg/T8p3LNSt1lh755pFiYzz2zWP6bMVnWr17tZbtWKYvVn3h+zhASc7VE9HxtIZL8l7k77lEhkbq6glXa+mOpfpm3Te6Y/IduuqUq1Qjtkaxxy3culBDvxuqv7X4myJCI3wZ67p067pzSmft3L9Tz855Vmt2r9F/5v/nsE4jlsZVG6t309664fMbNHvDbC3etlj/HP9P1apUy1e3SQc/lpoUm6R+4/qpfkL9Yh9/Ol7X+jEruqPDovXtNd+qbnxdXfrxpWr+n+a6buLB9m2VIipJku45/R5ddcpVunrC1er0VifFhccd9nmxjJwMrUxzt7uJDY9Vx1od9eK8F3X26LPVclRLPfrNo7qhzQ165cJXJEmtklrphfNf0DNznlHLV1vq/V/e19PnPn3Ez8nffIODgjX2b2O1YMsCtXy1pf419V967rznjng/Xrj21Gt1daur1X9Cf50z5hw1qNxAXVKK/+LSE12eUGp6qhq+1FCJz5X8R45ZeVlambbS/BFh94bd9c7id3T+e+er+X+a647Jd6h7w+76+G8fSzp492NM7zH65NdP1OI/LTRs9jANP2/4ET/Py1pepkfPflT3T79fbV9vq/UZ63VLu1uKPeatXm9pT/YetXm9ja4af5Xu7HgnDf8NR2stB2JYt2Hq27yvrhp/ldr8t41W716tqf+cqspRlSUd/AXh9y59T5NWT9LJo07Wh0s/1KBzBvm2DwkOUdqBNPUf319NXmmif/zfP3RBows0uMtgSQc/GzlrwCz9lvabzhp9lk7976l6bOZjqhlXs0yfR6C6N+p+8Hyfdr/av9Fe+3L3qf8p/Ys95t7T71VIcIha/KeFEp9LLPHvLuQV5mll2kpfe66y0KdZH43sMVLD5w7XSa+epP8u+K9G9x6tzimdfY95u9fbyi/MV9vX22rg1IEa0mVIsTHCQ8L10IyHdMqoU3T2mLMVEhSisX3HSirZuXoiOp7WcEnei/w9l6n/nKrdB3ar/Rvt9bdP/qZz65/re78/pFGVRupQq4OWbF9S7A6pxLou7bpunthcr170qv7z43/U6rVWmr9lvu8b55Ia3Xu02ia3Vc8PeqrTW51UVFSkSVdOOuyjMVe0vEKLty8+7DU8Xtd6UNGfPzyF496YRWM0ZtEY/pobUIHMTJ2pARMGKHVg6rGeCoAywrrGHx3bP0MIAAAAnAAougEAAACPUXSXQ62TWvv6iwOoGFISUor9kS4A5R/rGn/EZ7oBAAAAj3GnGwAAAPAYRTcAAADgsRL/Gfg//9lwAG7l5VNbrOuD6tSp48zuvtv9B6xycnKcWdWqVc19Lly40JnFxcU5s/T0dHPcrl27OrMvvvjCme3a5f6DV/Pn238oY/fu3WZeUbCuy5du3bo5s169ejkz63z2t65/++03ZxYSEuLM/K3rtm3bOrMffvjBmb333nvmuDi665o73QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPBYiVsGAkBFZbUBs9qvNWvWzJk1bdrU3GfHjh2d2fr1653Zzp07zXHPPvtsZ7Z06VJntmPHDme2b98+c584MVhroTRt16wWmffee68z+8c//mGOa63PAwcOOLPIyEhn5q8d46+//urMWrRoYW5ryc7Odmb9+/d3Zs8995wzGzdunLnPwYMHOzPreuGPV+dRecCdbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGH26AZzwTj75ZGfWsmVLZ7Z3715ntmnTJnOfCQkJzmzWrFnOzOovLEmNGjVyZjExMc7sqquucmZr164197l69WozR8UQaA/lhx56yMwHDhzozCIiIpxZVlaWOe62bducWX5+fkBZcLB9rzI6OtqZrVmzxpmFh4eb41q9rUND3aVcVFSUM7v++uvNfV5++eXO7OOPP3Zmt9xyizmudR5V9B7e3OkGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjFN0AAACAx4KKStiDxWrjAqC48tLaiHV90IcffujMqlWr5szS0tKcWXp6urnPunXrOrPExMSA5iNJy5cvd2Zbt251ZlYrtPnz55v7HDVqlJlXFCfCug60ZVuTJk2c2bfffmvuMzs7O6AsPj7eHNc6pwM9Rv7OgZCQkIDGLSwsLFXuUlBQ4Mz8HQNrW6vl6dChQ81xhw0bZuZH29Fc19zpBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMdCj/UEAOBYy8/Pd2abN292ZhEREc7MX+uw2NhYZxYa6r40h4eHm+Na7a/y8vKcWUZGhjOzWiMCknTfffc5s7CwMHPbffv2ObO4uDhn5q/lnZVb7fCsVoP+2stZa+xYtGi1riX+WMfBaol61VVXmeMG2jLQmk+gLRWPNu50AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGO0DARwwktMTHRmVsvAQNvzSVJOTk5A46ampprjWtauXevMIiMjnVndunUD3ifKF38t8VyaNWsW8D6tVnpWmzgrk+znYu0z0GPgb9zjjb+5Wsc3NzfXmSUnJ5vjnnbaac5s3rx5zqw8HVsX7nQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMfo0w3ghBcdHe3MlixZ4sx27drlzM444wxzn1lZWc6sSpUqziwpKckcd82aNc5sz549zszqTVyvXj1zn0BERIQzy8/PN7cNCwtzZqGh7jKloKDA/8QqCGt9Wv20S9OP3HpdLNa5IEndunVzZlaf7oqAO90AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGC0DAZzwsrOznVl6erozW7lypTOrXbu2uc+YmBhnVqdOHWdWrVo1c9wZM2Y4s9TUVGcWHh7uzNq1a2fuE6hUqZIz89cy0GoxZ7XD89cy0GqJZ7XSOx5Z8w30uVjHVrKPr3W98Pe6BHo9qQgtIrnTDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI/RMhDACc9q/Ve5cmVnZrU6279/v7nP6OhoZ2a1MNy7d685bkZGhjMLDXVf8gsLC53Zzp07zX3ixGC1pouKinJm/lq9RUZGOjOr3WBYWJg5rrVff+3yyhOrNWJpWNeEkJAQZ+bv9W7dunWgUyr3Ks5ZBwAAABynKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMfp0AzjhbdmyxZlZPYSrV6/uzOLi4sx9Wn267777bmc2c+ZMc9zw8HBnFmg/5N27d5v7xImhVq1azsw673Jzc81xrbVg9aW3+ob741Vv64rEOkbWtcTf671v376A51TecacbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHjshWwZabYaORRuhlJQUM7faNFWqVMmZdezY0Rx30KBBZg6cKFJTU51Zt27dnJnVSs9qgyZJISEhzsy6DoWFhZnjxsbGBjQnqwVYVlaWuU+cGBo3buzMrPMnOzvbHDciIsKZWed7YWGhOS5KJzTUXSJa1y9/14v4+PiA51TecacbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHjshWwZ61RawXbt2zuynn35yZla7Mknq0qWLM0tISHBmY8eONccFcNC2bducmdUKLS4uLuB97ty5M6B9Bgfb90r27t3rzPLy8pxZ5cqVnVl6erq5T5wYatSo4cys9nIFBQUB73PPnj3OzDpnpWPTAvhYsJ6n1SLZes0k+1piHXt/r7dVtzRr1syZrVixwhy3POBONwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxWJi0DrZY00vHXtqdbt27OzN9z+fbbb53ZRx995Mx27drlzDp27Gjuc/r06c5s48aNzqxXr17muN27d3dmI0eONLcFKhKrLVlERIQzKywsdGbR0dHmPsPCwpzZpk2bAtqnJMXGxga0T6v9odXeECeOxMREZ2adW/5qAOt9d+HChc7Mei8vyX7LE+u5hISEBLSdv+OzaNEiZ1a3bl1n5u8aZbVEbd26tTOjZSAAAAAAvyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4LES9+n21786UNa4XvXYvP32253ZkCFDzG379OnjzC644AJnNnjwYGd2zjnnmPt88sknndmrr77qzDp16mSOe/HFFzuz3377zZlNnjzZmQUH29/H+evfCRwLe/fudWZWv+1t27Y5s+TkZHOfUVFRzmzNmjXOLC8vzxzX6jmekZHhzKy1++OPP5r7xImhZs2aAW0XHh5u5tb7gtUj3ur3LEm5ubnOzDrfK1J/b6vGsq5BkrR+/fqA9umvDrB6uteuXTugfZYX3OkGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4DGKbgAAAMBjFN0AAACAx0rcMtBSmjZxVmseq9XNww8/bO4zISHBmQ0aNMiZ/fLLL+a4a9eudWa7d+92Zi+//LIzu+qqq8x93n333c7s6aefdmbnnXeeOe5ZZ53lzBITE81tXfy1BDwWLSID5VWbTBx/srKynFlMTIwzS09Pd2bW9UCy2xRasrOzzdxqKWjNad++fc7Muu7hxNGkSRNnZp13ERER5rjWuTdt2jRndvPNN5vjViTW+1FBQYEzy8/Pd2ZVq1Y19/nVV185s/79+zsz65opSQcOHHBmp512mrltecedbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHisxC0DrXZuVrua0mjatKkzq1atmrmt1VZr1apVzuytt94yx509e7YzW7FihTOLjY0NaDvJbqf073//29zW0qZNm4C3DdTx1hbQUp7mitKx2nFFRkY6sypVqjgzf639du7c6X9if8Ff+zVrv1ZrRH/zBWrXru3McnNznVlUVJQ5rtV2OCQkxP/EHCrSNTzQdrulaX1rtf6z9unv9bauNY0aNfI/sXKMO90AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGEU3AAAA4LES9+k+FlauXOnMRo4caW57zz33OLO8vDxndtNNN5nj5uTkmHkgpkyZYuaB9uf0p169es7M6uHdoEEDZ7Zp0yZzn8uXL3dmSUlJ5rYWq89rafqUWubOnevJuDj6tm7d6sx27drlzMLDw52Zv/7CgfYftq5fkn1NsPrjxsfHBzQfnDhq1KjhzKw+3WFhYea4mZmZzsy6fvu7tltrJTTUXf6U5n3Vq/cbi1fPxfobLNZrlpCQYI5rvS7+ti3vuNMNAAAAeIyiGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj5W4ZWDTpk2dWY8ePcxtrTZVVpshqw2cv7Yye/bscWbXXHONM9uxY4c5bq1atZxZx44dnZl1DLZs2WLu86qrrnJm9evXd2ZLly41x7XapFlzioqKCiiTpJo1azqziIgIZ3bgwAFzXKstktXCqbCw0JlZLZEkKSYmxsxRMVjXIavNnr/2orGxsQHNx99asNaR1VrMao0ISPb5bl0vrfNOss89f+e7xbq+l6aV3vHGei6laXNs1Wfp6enOLDEx0RzXahlY0VuXcqcbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHitxy8CVK1c6s3379pnbVq5c2ZlZbbOsVm/+WtNZrPZFVmtESdq/f78z+9///ufMrLZHkZGR5j7feecdZ7Z9+3ZnZs0VQMlY1yirVVeVKlXMccPDwwOaT1xcnJlXrVrVmVntD2kZCEkKCwtzZlarXqtNr9XGUpIWLVrkzErzXn+iKCgocGZW20R/KlWq5Mx+/vlnZ9aiRQtzXOu6aZ1jVu2Wn59v7vN4wZ1uAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeKzELQMtW7ZsKVV+PJk2bdqxngKA48jmzZudWbVq1ZyZv5aAgV4XV61aZeZZWVnO7Oyzz3Zm69atC2g+qFhatWrlzLZt2+bMrDZwVqtKSfrggw+cWYMGDcxtLVa7PKslsfVcjkdWKz0r88dq9Wi1Mr7qqqvMca0Wh9Y5dtpppzmz2bNnm/s8XnCnGwAAAPAYRTcAAADgMYpuAAAAwGMU3QAAAIDHKLoBAAAAj1F0AwAAAB6j6AYAAAA8ViZ9ugGgosrNzXVmVatWdWY5OTnmuBkZGQHNx+pj609ycrIzS0tLC3hcVBxWX+yQkBBnZvW99sfqPX/llVcGPK6/XvkupXkux4JXfcV79uzpzB588MGAx7X6tlvnWJ06dQLe5/GCO90AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMohsAAADwGC0DAcCwfft2Z9a4cWNn5q8l4O7duwOek6VevXrObOPGjc5s586dXkwH5YzVVrKwsNCZWW3g/LFa3rVq1Sqg+UhSaKi7xPGqzd6xYLXZszJ/x89qH+mvJarFmlN+fr4zq127dsD7PF5wpxsAAADwGEU3AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo2UgABh++eUXZ9asWTNn5q8dl9UayxIbG2vmVps0q03hjh07ApoPKpZGjRo5s0qVKjkzf+e7JS0tzZlZLTAzMzPNca05WW3rjsd2gtac8vLynJl1PfB3/KyWqHv27DG3tYSHhzuz+Ph4Z1anTp2A93m84E43AAAA4DGKbgAAAMBjFN0AAACAxyi6AQAAAI9RdAMAAAAeo+gGAAAAPEbRDQAAAHiMPt0AYEhPT3dmVg/coKAgc9y4uLiA5uOvv3dYWJgzs+abm5sb0HxQsSQkJDgzq5+2dd7563tdo0YNZ2b1BrfWpmT34g6Uv3XtVY9va7/Bwe77p1bmb81bxz45OdmZ+evZbs1p586dzqxy5crmuOUBd7oBAAAAj1F0AwAAAB6j6AYAAAA8RtENAAAAeIyiGwAAAPAYRTcAAADgMVoGAoDBan9lte/z11qsTp06Ac1n7969Zl61alVnZrV1o2UgJKlZs2bOzDrfw8PDndm+ffvMfebl5fmfWADb+VuDZb2dZLfD80pBQYEzs65f1nb+WOfC/v37zW2ttorWfJs2bep/Ysc57nQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAY7QMBADDjh07nFl0dLQz2717tzluTk5OQPNJSkoy89jYWGcWGuq+5O/atSug+aBimT17tjO75pprAhqzUqVKZr527Vpntn37dmfmrz1fdna2MwsJCXFmVvtMqzWiP6VpRWi12bOOg9VWMSIiwtznpk2bnNnq1audWVxcnDmu1RbQamv6+eefm+OWB9zpBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMdoGQgAhrS0NGdmteCLj483x7Valllq1qxp5vv373dm+fn5zmzv3r0BzQcVS0ZGhjMLtM1eadSoUcOZWW30JLtlYFRUVMBzKk8OHDjgzPy1DPTXkjFQVhvDmJgYZ2Zdi8sL7nQDAAAAHqPoBgAAADxG0Q0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMfo0w0Ahp07dzqzrVu3OrOCggJz3MmTJwc0n3Hjxpl506ZNndlvv/0W0D5x4hg0aJAze+utt5zZxo0bnVlQUFDA83nuueecmdWHW5LWrVvnzKwe1Nba9fdcCgsLnZnVV7w040ZGRprbutSqVcvM4+LiAhrXX39v6zjUqVPHmVnnWHnBnW4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB4LKjI6t0CAAAAoNS40w0AAAB4jKIbAAAA8BhFNwAAAOAxim4AAADAYxTdAAAAgMcougEAAACPUXQDAAAAHqPoBgAAADxG0Q0AAAB47P8BOmNgb7llaAIAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Plot predictions\n",
        "plt.figure(figsize=(9, 9))\n",
        "\n",
        "n_rows = 3\n",
        "n_cols = 3\n",
        "\n",
        "for i, sample in enumerate(test_samples):\n",
        "    # Create subplot\n",
        "    plt.subplot(n_rows, n_cols, i+1)\n",
        "\n",
        "    # Plot the target image\n",
        "    plt.imshow(sample.squeeze(), cmap=\"gray\")\n",
        "\n",
        "    # Find the prediction (in text form, e.g \"Sandal\")\n",
        "    pred_label = class_names[pred_classes[i]]\n",
        "\n",
        "    # Get the truth label (in text form)\n",
        "    truth_label = class_names[test_labels[i]]\n",
        "\n",
        "    # Create a title for the plot\n",
        "    title_text = f\"Pred: {pred_label} | Truth: {truth_label}\"\n",
        "\n",
        "    # Check for equality between pred and truth and change color of title text\n",
        "    if pred_label == truth_label:\n",
        "      plt.title(title_text, fontsize=10, c=\"g\") # green text if prediction same as truth\n",
        "    else:\n",
        "      plt.title(title_text, fontsize=10, c=\"r\")\n",
        "\n",
        "    plt.axis(False);"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IPomliZywtqR"
      },
      "source": [
        "### **17. Confusion matrix for further prediction evaluation**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "58RDDBiAUfic"
      },
      "source": [
        "Evaluating the classificaiton model visually.\n",
        "\n",
        "**Steps:**\n",
        "- Make predictions with our trained model on the test dataset.\n",
        "- Make a confusion Matrix `torchmetrics.ConfusionMatrix`.\n",
        "- Plot the confusion Matrix using `mlxtend.plotting.plot_confusion_matrix()`.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 804,
          "referenced_widgets": [
            "375030fab6ec4d978908555fa999e55d",
            "865d2dd3b61c4585b5c6eeb164347731",
            "b0c6d69aeadd424a8c2cddff01c76e84",
            "f85af0e84da643018c354cf1dd24b1cd",
            "e1938aeb78544041a0fac730ce918a31",
            "0c26799eab394bd3a3d1348678106074",
            "73481b572c534f49b6694cb5e2015146",
            "c0c3c758e1204017916c348f786b6f1d",
            "ea092b76d1af4490a2efbd731fd59702",
            "7b1cecab0379466e84cc0ae6c6b0c2b9",
            "3145b7ac237447879f0f96687562a0e6"
          ]
        },
        "id": "kaaDmjKK2SL5",
        "outputId": "c2a1d657-8abe-400a-949d-15db3cee7211"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Making Predictions...:   0%|          | 0/313 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "375030fab6ec4d978908555fa999e55d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "from tqdm.auto import tqdm\n",
        "from sklearn.metrics import confusion_matrix\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Initialize empty lists for true labels and predicted labels\n",
        "true_labels = []\n",
        "predicted_labels = []\n",
        "\n",
        "model.eval()\n",
        "\n",
        "with torch.inference_mode():\n",
        "    for X, y in tqdm(test_dataloader, desc=\"Making Predictions...\"):\n",
        "        # Send the data to the target device\n",
        "        X, y = X.to(device), y.to(device)\n",
        "\n",
        "        # Forward pass - logits -> prediction probabilities -> prediction labels\n",
        "        y_logit = model(X).squeeze()\n",
        "        y_pred_prob = torch.softmax(y_logit, dim=1)\n",
        "        y_pred = torch.argmax(y_pred_prob, dim=1)\n",
        "\n",
        "        # Append true labels and predicted labels\n",
        "        ## ü   # matplotlib likes working with numpy\n",
        "        true_labels.extend(y.cpu().numpy())\n",
        "        predicted_labels.extend(y_pred.cpu().numpy())\n",
        "\n",
        "# Calculate confusion matrix\n",
        "conf_matrix = confusion_matrix(true_labels, predicted_labels)\n",
        "\n",
        "\n",
        "# Plot confusion matrix\n",
        "plt.figure(figsize=(10, 8))\n",
        "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues') # fmt ~ `d ~ decimal`, `.2f~ float with two decimal`\n",
        "\n",
        "# Set axis labels and title\n",
        "plt.xlabel('Predicted Labels')\n",
        "plt.ylabel('True Labels')\n",
        "plt.xticks(ticks=np.arange(len(class_names))+0.5, labels=class_names, rotation=45)\n",
        "plt.yticks(ticks=np.arange(len(class_names))+0.5, labels=class_names, rotation=0, va='center')\n",
        "plt.title('Confusion Matrix')\n",
        "\n",
        "# Display the plot\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZgxRW_mTG_ZD"
      },
      "source": [
        "- `np.arange(len(class_names))+0.5` is used to put the tick to the center of the box."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sGq5fP-x7ERx"
      },
      "source": [
        "### **18. Save and load the model**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wig_cys8fxgJ"
      },
      "source": [
        "#### **1. Save Model**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VXL0r4YMgXFV",
        "outputId": "8f05428d-49e0-41e5-88bc-abbc329e01c2"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving model to: models/models\n"
          ]
        }
      ],
      "source": [
        "import torch\n",
        "import os\n",
        "\n",
        "\n",
        "# Create the directory\n",
        "model_dir = \"models\"\n",
        "os.makedirs(model_dir, exist_ok=True)\n",
        "\n",
        "# Define the model's save path and name\n",
        "moddel = \"cnn_model.pth\"\n",
        "model_save_path = os.path.join(model_dir, model_dir)\n",
        "\n",
        "# Save the model's state dictionary\n",
        "print(f\"Saving model to: {model_save_path}\")\n",
        "torch.save(model.state_dict(), model_save_path)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LNzPCk2uDi3r"
      },
      "source": [
        "**Here’s why `model.state_dict()` is crucial:**\n",
        "\n",
        "- **Modularity:** It allows for the easy saving, updating, altering, and restoring of model parameters, which adds a great deal of flexibility and modularity to PyTorch models and optimizers.\n",
        "\n",
        "- **Checkpointing:** It is used for saving or loading models, which is particularly useful when you need to continue training from a specific point or want to share the model with others.\n",
        "\n",
        "- **Transfer Learning:** When you want to use the model parameters as a starting point for training on a new task (transfer learning), `model.state_dict()` makes it easy to load the pre-trained parameters."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ddhrRqHPZ_Pq"
      },
      "source": [
        "Alternate way\n",
        "```python\n",
        "\n",
        "from pathlib import Path\n",
        "\n",
        "# Create model dictory path\n",
        "MODEL_PATH = Path(\"models\")\n",
        "MODEL_PATH.mkdir(parents=True,\n",
        "                 exist_ok=True)\n",
        "\n",
        "# Create model save\n",
        "MODEL_NAME = \"cnn_model.pth\"\n",
        "MODEL_SAVE_PATH = MODEL_PATH / MODEL_NAME\n",
        "\n",
        "# Save the model state dict\n",
        "print(f\"Saving model to: {MODEL_SAVE_PATH}\")\n",
        "torch.save(obj=model_2.state_dict(),\n",
        "           f=MODEL_SAVE_PATH)\n",
        "```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NWuezos4hX6o"
      },
      "source": [
        "#### **2. Load Model**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tRLJ2sUqXmtr",
        "outputId": "b9f9809a-c37e-4caf-d0b3-d4a278b26eb7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "FashionMNISTModel(\n",
              "  (conv_block_1): Sequential(\n",
              "    (0): Conv2d(1, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (1): ReLU()\n",
              "    (2): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (3): ReLU()\n",
              "    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "  )\n",
              "  (conv_block_2): Sequential(\n",
              "    (0): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (1): ReLU()\n",
              "    (2): Conv2d(10, 10, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))\n",
              "    (3): ReLU()\n",
              "    (4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)\n",
              "  )\n",
              "  (classifier): Sequential(\n",
              "    (0): Flatten(start_dim=1, end_dim=-1)\n",
              "    (1): Linear(in_features=490, out_features=10, bias=True)\n",
              "  )\n",
              ")"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ],
      "source": [
        "loaded_model = FashionMNISTModel(input_shape = 1,\n",
        "                               hidden_units = 10,\n",
        "                               output_shape = len(class_names))\n",
        "\n",
        "loaded_model.load_state_dict(torch.load(f=model_save_path))\n",
        "loaded_model.to(device)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YJJ7B_kNlBIa"
      },
      "source": [
        "#### **3. Evaluate loaded model**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        },
        "id": "5ZgbYAurlU4M",
        "outputId": "a0e0307c-634f-42d2-e4eb-169d8d30c11c"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/313 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "{'model_name': 'FashionMNISTModel',\n",
              " 'model_loss': 0.27407678961753845,\n",
              " 'model_acc': 90.10583067092652}"
            ]
          },
          "metadata": {},
          "execution_count": 30
        }
      ],
      "source": [
        "model_results = eval_model(\n",
        "    model=model,\n",
        "    dataloader=test_dataloader,\n",
        "    loss_fn=loss_fn,\n",
        "    accuracy_fn=accuracy_fn\n",
        ")\n",
        "\n",
        "model_results"
      ]
    },
    {
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      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101,
          "referenced_widgets": [
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      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  0%|          | 0/313 [00:00<?, ?it/s]"
            ],
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              "{'model_name': 'FashionMNISTModel',\n",
              " 'model_loss': 0.27407678961753845,\n",
              " 'model_acc': 90.10583067092652}"
            ]
          },
          "metadata": {},
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        }
      ],
      "source": [
        "loaded_model_results = eval_model(\n",
        "    model=loaded_model,\n",
        "    dataloader=test_dataloader,\n",
        "    loss_fn=loss_fn,\n",
        "    accuracy_fn=accuracy_fn\n",
        ")\n",
        "\n",
        "loaded_model_results"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kzgzXgTyl8iM"
      },
      "source": [
        "#### **4. Check Model Results**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UycFp8wRkrWJ",
        "outputId": "e42dbe8d-93e4-476e-aa93-cfd7ad3c915d"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor(True)"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ],
      "source": [
        "# Check if model results are close to each other\n",
        "torch.isclose(torch.tensor(model_results[\"model_loss\"]),\n",
        "              torch.tensor(loaded_model_results[\"model_loss\"]),\n",
        "              atol=1e-02)"
      ]
    }
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