{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "bpdRASLvpYpG"
      },
      "outputs": [],
      "source": [
        "import torchvision.datasets as datasets\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from skimage.feature import hog\n",
        "from tqdm import tqdm"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-ZbMVlKceUKR"
      },
      "source": [
        "##Loading train and test data\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vjvf7FdRxLwK",
        "outputId": "7cea78f2-4b0f-4f2f-defe-a086a567d7e4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Downloading https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz to ./data/cifar-10-python.tar.gz\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 170498071/170498071 [00:12<00:00, 13146445.26it/s]\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Extracting ./data/cifar-10-python.tar.gz to ./data\n"
          ]
        }
      ],
      "source": [
        "train_data = datasets.CIFAR10(root=\"./data\",train=True,download=True,transform=None)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZED_6OfNxsUS",
        "outputId": "8e91b9e4-94a9-4ff2-bb3d-71e9e567a783"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Files already downloaded and verified\n"
          ]
        }
      ],
      "source": [
        "test_data = datasets.CIFAR10(root=\"./data\",train=False,download=True,transform=None)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n4CJaRsNefVZ"
      },
      "source": [
        "## Function to read .tar files (source : https://www.cs.toronto.edu/~kriz/cifar.html)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "YvKz0_grx1aM"
      },
      "outputs": [],
      "source": [
        "def unpickle(file):\n",
        "    import pickle\n",
        "    with open(file, 'rb') as fo:\n",
        "        dict = pickle.load(fo, encoding='bytes')\n",
        "    return dict"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zqgXzSDSep1i"
      },
      "source": [
        "##batch 1 to 5 are train data and test_batch is test data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0aOG5z_b0XU_"
      },
      "outputs": [],
      "source": [
        "batch1 = unpickle(\"/content/data/cifar-10-batches-py/data_batch_1\")\n",
        "batch2 = unpickle(\"/content/data/cifar-10-batches-py/data_batch_2\")\n",
        "batch3 = unpickle(\"/content/data/cifar-10-batches-py/data_batch_3\")\n",
        "batch4 = unpickle(\"/content/data/cifar-10-batches-py/data_batch_4\")\n",
        "batch5 = unpickle(\"/content/data/cifar-10-batches-py/data_batch_5\")\n",
        "test_batch = unpickle(\"/content/data/cifar-10-batches-py/test_batch\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xCNmnTcje-pE"
      },
      "source": [
        "## Checking what is in every batch"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h0v8QC6P0nl3",
        "outputId": "22808471-0789-4b63-f22a-24ef6ae5be96"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(dict, 4)"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "type(batch1),len(batch1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EZoEs-o61D4B",
        "outputId": "f668e3ac-f73d-4ceb-d122-de609f4dd8b4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "dict_keys([b'batch_label', b'labels', b'data', b'filenames'])"
            ]
          },
          "execution_count": 7,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "batch1.keys()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "boYlaSPgeDN2",
        "outputId": "fb3b05e3-834f-423d-8156-8506c51b69a2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "b'training batch 1 of 5'\n",
            "[6, 9, 9, 4, 1, 1, 2, 7, 8, 3, 4, 7, 7, 2, 9, 9, 9, 3, 2, 6, 4, 3, 6, 6, 2, 6, 3, 5, 4, 0, 0, 9, 1, 3, 4, 0, 3, 7, 3, 3, 5, 2, 2, 7, 1, 1, 1, 2, 2, 0, 9, 5, 7, 9, 2, 2, 5, 2, 4, 3, 1, 1, 8, 2, 1, 1, 4, 9, 7, 8, 5, 9, 6, 7, 3, 1, 9, 0, 3, 1, 3, 5, 4, 5, 7, 7, 4, 7, 9, 4, 2, 3, 8, 0, 1, 6, 1, 1, 4, 1, 8, 3, 9, 6, 6, 1, 8, 5, 2, 9, 9, 8, 1, 7, 7, 0, 0, 6, 9, 1, 2, 2, 9, 2, 6, 6, 1, 9, 5, 0, 4, 7, 6, 7, 1, 8, 1, 1, 2, 8, 1, 3, 3, 6, 2, 4, 9, 9, 5, 4, 3, 6, 7, 4, 6, 8, 5, 5, 4, 3, 1, 8, 4, 7, 6, 0, 9, 5, 1, 3, 8, 2, 7, 5, 3, 4, 1, 5, 7, 0, 4, 7, 5, 5, 1, 0, 9, 6, 9, 0, 8, 7, 8, 8, 2, 5, 2, 3, 5, 0, 6, 1, 9, 3, 6, 9, 1, 3, 9, 6, 6, 7, 1, 0, 9, 5, 8, 5, 2, 9, 0, 8, 8, 0, 6, 9, 1, 1, 6, 3, 7, 6, 6, 0, 6, 6, 1, 7, 1, 5, 8, 3, 6, 6, 8, 6, 8, 4, 6, 6, 1, 3, 8, 3, 4, 1, 7, 1, 3, 8, 5, 1, 1, 4, 0, 9, 3, 7, 4, 9, 9, 2, 4, 9, 9, 1, 0, 5, 9, 0, 8, 2, 1, 2, 0, 5, 6, 3, 2, 7, 8, 8, 6, 0, 7, 9, 4, 5, 6, 4, 2, 1, 1, 2, 1, 5, 9, 9, 0, 8, 4, 1, 1, 6, 3, 3, 9, 0, 7, 9, 7, 7, 9, 1, 5, 1, 6, 6, 8, 7, 1, 3, 0, 3, 3, 2, 4, 5, 7, 5, 9, 0, 3, 4, 0, 4, 4, 6, 0, 0, 6, 6, 0, 8, 1, 6, 2, 9, 2, 5, 9, 6, 7, 4, 1, 8, 7, 3, 6, 9, 3, 0, 4, 0, 5, 1, 0, 3, 4, 8, 5, 4, 7, 2, 3, 9, 7, 6, 7, 1, 4, 7, 0, 1, 7, 3, 1, 8, 4, 4, 2, 0, 2, 2, 0, 0, 9, 0, 9, 6, 8, 2, 7, 7, 4, 0, 3, 0, 8, 9, 4, 2, 7, 2, 5, 2, 5, 1, 9, 4, 8, 5, 1, 7, 4, 4, 0, 6, 9, 0, 7, 8, 8, 9, 9, 3, 3, 4, 0, 4, 5, 6, 6, 0, 1, 0, 8, 0, 4, 8, 8, 1, 5, 2, 6, 8, 1, 0, 0, 7, 7, 5, 9, 6, 2, 8, 3, 4, 7, 3, 9, 0, 1, 2, 4, 8, 1, 8, 6, 4, 4, 5, 7, 1, 3, 9, 8, 0, 1, 7, 5, 8, 2, 8, 0, 4, 1, 8, 9, 8, 2, 9, 9, 2, 7, 5, 7, 3, 8, 8, 4, 4, 2, 7, 1, 6, 4, 0, 4, 6, 9, 7, 6, 2, 5, 5, 1, 7, 2, 2, 2, 9, 5, 4, 2, 7, 8, 1, 3, 4, 3, 7, 6, 9, 8, 0, 6, 0, 2, 2, 2, 1, 8, 4, 0, 1, 8, 8, 1, 5, 7, 6, 4, 5, 8, 7, 1, 9, 1, 9, 8, 4, 7, 3, 8, 8, 2, 6, 6, 7, 1, 6, 8, 1, 9, 7, 8, 3, 0, 1, 0, 8, 8, 3, 0, 0, 1, 5, 0, 8, 8, 7, 9, 9, 0, 9, 4, 1, 3, 6, 6, 4, 4, 7, 5, 6, 0, 8, 0, 3, 2, 8, 4, 6, 9, 9, 7, 0, 3, 3, 6, 7, 4, 9, 1, 6, 2, 7, 2, 2, 0, 6, 7, 5, 7, 6, 8, 9, 0, 9, 4, 4, 7, 0, 9, 4, 9, 6, 9, 4, 5, 7, 9, 2, 4, 5, 1, 4, 3, 9, 6, 5, 6, 9, 3, 3, 5, 0, 7, 2, 1, 3, 6, 4, 0, 0, 2, 5, 0, 1, 0, 2, 3, 9, 8, 4, 9, 8, 0, 2, 6, 4, 4, 0, 1, 8, 8, 3, 6, 9, 6, 6, 7, 8, 2, 4, 5, 7, 6, 5, 3, 0, 5, 0, 5, 0, 8, 2, 6, 7, 3, 8, 2, 1, 7, 6, 7, 1, 0, 9, 5, 5, 0, 1, 7, 6, 9, 0, 4, 7, 7, 1, 5, 9, 4, 0, 8, 5, 9, 9, 6, 7, 1, 8, 3, 2, 3, 8, 2, 2, 4, 6, 0, 0, 5, 3, 8, 2, 3, 7, 2, 9, 3, 8, 7, 8, 2, 7, 9, 0, 2, 3, 2, 2, 2, 3, 3, 6, 2, 3, 2, 8, 0, 5, 5, 1, 4, 5, 6, 6, 2, 7, 0, 1, 7, 7, 8, 2, 9, 2, 2, 4, 2, 1, 1, 1, 6, 6, 6, 5, 1, 1, 7, 0, 4, 3, 3, 7, 1, 2, 3, 5, 5, 5, 6, 1, 4, 3, 7, 8, 8, 3, 6, 6, 2, 3, 0, 9, 4, 3, 8, 0, 0, 1, 1, 5, 4, 9, 3, 1, 8, 9, 3, 9, 9, 2, 9, 4, 8, 2, 9, 8, 8, 1, 5, 3, 6, 8, 7, 6, 9, 8, 0, 6, 4, 0, 0, 2, 5, 8, 2, 0, 2, 7, 6, 9, 7, 1, 5, 5, 6, 6, 3, 6, 2, 4, 7, 0, 5, 6, 4, 6, 5, 2, 4, 6, 1, 6, 0, 4, 0, 3, 1, 8, 5, 4, 4, 1, 7, 3, 9, 4, 7, 9, 7, 3, 7, 2, 8, 4, 6, 6, 1, 2, 9, 0, 4, 8, 7, 3, 9, 8, 7, 7, 0, 2, 4, 1, 1, 4, 1, 5, 4, 0, 5, 6, 2, 8, 5, 0, 2, 1, 3, 5, 7, 3, 5, 1, 3, 5, 9, 4, 3, 2, 4, 4, 1, 4, 2, 2, 3, 8, 0, 6, 8, 5, 6, 6, 4, 7, 1, 1, 4, 6, 2, 3, 9, 6, 9, 1, 3, 6, 8, 5, 9, 6, 8, 1, 6, 0, 2, 3, 7, 9, 0, 9, 7, 6, 3, 9, 2, 6, 1, 6, 7, 3, 8, 3, 8, 3, 8, 5, 9, 6, 1, 2, 5, 2, 1, 4, 3, 7, 5, 9, 3, 9, 3, 2, 9, 1, 8, 5, 9, 7, 2, 6, 0, 8, 5, 7, 1, 5, 8, 5, 7, 1, 5, 0, 3, 9, 3, 6, 9, 1, 3, 9, 8, 2, 2, 3, 2, 5, 9, 7, 9, 9, 8, 9, 7, 0, 3, 3, 2, 0, 3, 7, 6, 3, 3, 2, 0, 6, 6, 5, 5, 7, 5, 9, 8, 2, 9, 8, 0, 4, 0, 1, 2, 0, 4, 7, 3, 8, 5, 1, 6, 6, 5, 5, 4, 6, 3, 6, 8, 2, 3, 7, 0, 7, 0, 4, 1, 9, 5, 7, 8, 6, 6, 8, 0, 7, 2, 8, 4, 8, 2, 0, 9, 0, 0, 2, 9, 6, 6, 5, 6, 0, 3, 7, 5, 5, 7, 9, 3, 4, 5, 0, 5, 2, 3, 2, 6, 0, 4, 9, 0, 7, 0, 9, 7, 2, 6, 4, 6, 9, 5, 4, 7, 0, 6, 8, 8, 9, 9, 9, 0, 9, 8, 6, 4, 8, 1, 9, 1, 0, 5, 8, 6, 9, 6, 0, 8, 1, 3, 9, 4, 8, 4, 3, 2, 6, 0, 8, 9, 9, 4, 3, 0, 2, 4, 4, 0, 3, 5, 7, 5, 7, 7, 9, 0, 9, 5, 3, 8, 2, 4, 2, 3, 1, 2, 8, 9, 2, 8, 1, 4, 2, 0, 4, 5, 4, 8, 1, 7, 4, 1, 1, 0, 2, 7, 7, 4, 4, 4, 4, 8, 4, 3, 6, 6, 0, 1, 3, 9, 8, 4, 8, 9, 6, 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5, 5, 4, 0, 8, 4, 4, 0, 9, 2, 8, 9, 8, 0, 2, 2, 2, 6, 7, 8, 1, 9, 8, 0, 3, 8, 6, 8, 1, 6, 5, 4, 2, 1, 4, 3, 9, 7, 8, 3, 0, 8, 3, 4, 2, 9, 1, 0, 0, 3, 0, 4, 5, 9, 0, 7, 5, 9, 5, 8, 8, 6, 3, 1, 9, 5, 2, 4, 7, 6, 1, 8, 6, 9, 3, 1, 3, 7, 4, 0, 6, 7, 6, 9, 2, 4, 1, 9, 8, 5, 8, 2, 2, 5, 0, 2, 0, 7, 0, 6, 6, 4, 8, 7, 9, 6, 9, 2, 3, 8, 8, 3, 9, 9, 8, 7, 2, 3, 5, 5, 1, 8, 7, 4, 3, 5, 2, 2, 2, 1, 4, 2, 2, 8, 4, 9, 8, 2, 1, 2, 5, 6, 3, 4, 5, 7, 6, 7, 6, 5, 0, 2, 4, 4, 3, 0, 4, 2, 6, 1, 8, 8, 3, 0, 7, 4, 9, 7, 9, 2, 0, 4, 7, 3, 7, 6, 6, 2, 3, 7, 3, 6, 8, 2, 3, 3, 5, 5, 5, 2, 4, 2, 8, 7, 4, 3, 7, 7, 8, 5, 2, 8, 4, 3, 5, 4, 2, 9, 1, 4, 0, 0, 5, 6, 5, 6, 8, 0, 3, 4, 4, 4, 2, 2, 0, 5, 0, 3, 4, 7, 7, 3, 9, 7, 3, 7, 3, 7, 7, 7, 1, 7, 4, 4, 7, 9, 1, 7, 7, 4, 5, 9, 0, 8, 7, 3, 6, 2, 3, 8, 2, 5, 4, 8, 4, 0, 7, 5, 2, 7, 7, 2, 6, 4, 0, 2, 4, 3, 8, 9, 4, 5, 5, 6, 7, 1, 9, 6, 5, 0, 3, 4, 4, 0, 6, 6, 8, 3, 6, 0, 3, 3, 3, 8, 3, 3, 8, 4, 3, 8, 2, 9, 1, 4, 9, 5, 0, 6, 5, 0, 2, 6, 5, 4, 1, 5, 9, 0, 6, 2, 5, 4, 5, 8, 2, 8, 7, 5, 0, 7, 9, 9, 8, 2, 1, 0, 2, 7, 5, 0, 3, 8, 5, 0, 7, 9, 5, 8, 6, 9, 0, 7, 1, 9, 3, 5, 0, 5, 1, 7, 8, 9, 2, 0, 0, 8, 1, 1, 1, 6, 2, 3, 6, 2, 7, 1, 9, 3, 7, 6, 3, 1, 0, 5, 9, 4, 3, 9, 5, 0, 9, 2, 7, 5, 8, 0, 1, 3, 4, 8, 5, 1, 5, 7, 7, 2, 8, 4, 2, 2, 5, 3, 3, 1, 4, 9, 2, 4, 5, 2, 2, 3, 2, 1, 5, 8, 9, 2, 6, 6, 1, 7, 7, 5, 4, 4, 0, 5, 8, 8, 6, 6, 7, 2, 6, 4, 5, 1, 7, 5, 2, 4, 4, 6, 5, 2, 3, 8, 9, 3, 4, 3, 2, 6, 7, 2, 3, 2, 7, 7, 3, 0, 1, 4, 0, 6, 5, 5, 1, 6, 7, 6, 1, 3, 4, 0, 9, 9, 6, 8, 8, 3, 2, 3, 3, 8, 5, 3, 0, 9, 0, 8, 1, 3, 4, 8, 2, 4, 6, 1, 3, 5, 5, 1, 1, 1, 9, 5, 0, 4, 2, 9, 2, 5, 7, 4, 3, 3, 9, 1, 7, 2, 6, 1, 2, 9, 7, 9, 0, 4, 7, 8, 4, 9, 9, 4, 2, 9, 9, 8, 8, 6, 3, 2, 4, 6, 1, 7, 8, 2, 5, 8, 0, 4, 4, 5, 2, 4, 6, 5, 6, 5, 7, 7, 4, 5, 2, 0, 1, 1, 9, 6, 4, 3, 8, 7, 4, 0, 1, 5, 5, 0, 7, 0, 8, 5, 6, 1, 2, 3, 5, 8, 9, 6, 7, 6, 0, 7, 3, 1, 9, 4, 1, 8, 8, 1, 0, 6, 1, 7, 2, 5, 4, 5, 6, 6, 4, 8, 6, 4, 7, 9, 9, 4, 5, 1, 3, 9, 8, 6, 7, 3, 9, 5, 2, 5, 2, 1, 7, 1, 7, 0, 8, 3, 8, 3, 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b'spadefoot_s_000079.png', b'fallow_deer_s_001145.png', b'lippizaner_s_001227.png', b'honey_eater_s_000925.png', b'anthus_pratensis_s_000691.png', b'nandu_s_000492.png', b'anuran_s_000759.png', b'monoplane_s_001019.png', b'anthus_pratensis_s_000371.png', b'shooting_brake_s_000805.png', b'attack_aircraft_s_001272.png', b'emu_s_000007.png', b'police_boat_s_001325.png', b'capreolus_capreolus_s_001491.png', b'elk_s_002631.png', b'leopard_frog_s_000130.png', b'maltese_dog_s_000523.png', b'trucking_rig_s_000052.png', b'stealth_fighter_s_000670.png', b'car_s_001254.png', b'convertible_s_002292.png', b'packet_boat_s_001182.png', b'blenheim_spaniel_s_000312.png', b'motorcar_s_001251.png', b'shooting_brake_s_001005.png', b'banana_boat_s_001765.png', b'aerial_ladder_truck_s_000186.png', b'fighter_aircraft_s_001572.png', b'bufo_bufo_s_001159.png', b'deer_s_001573.png', b'boat_s_000047.png', b'caribou_s_000255.png', b'maltese_dog_s_000522.png', b'arabian_s_001454.png', b'automobile_s_001285.png', b'moose_s_000025.png', b'rana_cascadae_s_000031.png', b'bird_s_002337.png', b'sparrow_s_002443.png', b'southwestern_toad_s_000151.png', b'pleasure_boat_s_000202.png', b'alauda_arvensis_s_001291.png', b'tandem_trailer_s_001767.png', b'sparrow_s_001327.png', b'honey_eater_s_000983.png', b'quarter_horse_s_002061.png', b'coupe_s_002124.png', b'alces_alces_s_001390.png', b'maltese_s_001483.png', b'tabby_cat_s_000846.png', b'coupe_s_000183.png', b'propeller_plane_s_001071.png', b'sea_boat_s_001064.png', b'mule_deer_s_000454.png', b'fallow_deer_s_001302.png', b'tabby_s_000666.png', b'stallion_s_001200.png', b'passenger_ship_s_001140.png', b'dump_truck_s_001869.png', b'domestic_cat_s_000323.png', b'bufo_bufo_s_001454.png', b'auto_s_000031.png', b'emu_novaehollandiae_s_000534.png', b'convertible_s_001868.png', b'alauda_arvensis_s_000456.png', b'emu_s_001091.png', b'lippizaner_s_000780.png', b'station_wagon_s_000842.png', b'car_s_000557.png', b'taxicab_s_000516.png', b'honey_eater_s_000413.png', b'lapdog_s_002126.png', b'lipizzan_s_001837.png', b'lark_s_000214.png', b'hedge_sparrow_s_000249.png', b'quarter_horse_s_001719.png', b'house_cat_s_001368.png', b'red_deer_s_001385.png', b'fallow_deer_s_002000.png', b'chihuahua_s_000113.png', b'automobile_s_000009.png', b'stealth_fighter_s_001873.png', b'sparrow_s_000056.png', b'trailer_truck_s_000492.png', b'passenger_ship_s_002127.png', b'domestic_cat_s_001320.png', b'dump_truck_s_001083.png', b'coupe_s_000401.png', b'alauda_arvensis_s_001259.png', b'stealth_bomber_s_001485.png', b'mutt_s_000862.png', b'semi_s_000168.png', b'pekinese_s_000136.png', b'tandem_trailer_s_001644.png', b'tomcat_s_001104.png', b'auto_s_001368.png', b'jetliner_s_001020.png', b'domestic_cat_s_000108.png', b'tabby_cat_s_002328.png', b'airbus_s_000024.png', b'deer_s_000300.png', b'fighter_aircraft_s_000924.png', b'packet_boat_s_001232.png', b'elk_s_000059.png', b'fighter_aircraft_s_000302.png', b'convertible_s_001439.png', b'lippizaner_s_001204.png', b'canis_familiaris_s_001242.png', b'houseboat_s_000121.png', b'tabby_s_000254.png', b'rana_catesbeiana_s_001017.png', b'aerial_ladder_truck_s_000189.png', b'rowboat_s_000908.png', b'tennessee_walker_s_000484.png', b'cassowary_s_001419.png', b'speedboat_s_001943.png', b'wagtail_s_001188.png', b'tabby_cat_s_001531.png', b'fallow_deer_s_000369.png', b'toy_dog_s_002012.png', b'accentor_s_000425.png', b'leptodactylus_pentadactylus_s_000160.png', b'quarter_horse_s_000493.png', b'elk_s_000809.png', b'meadow_pipit_s_001485.png', b'gelding_s_002283.png', b'english_toy_spaniel_s_000745.png', b'canis_familiaris_s_001249.png', b'roe_deer_s_000099.png', b'cargo_ship_s_002050.png', b'containership_s_000176.png', b'station_wagon_s_002322.png', b'tomcat_s_001646.png', b'iceboat_s_000015.png', b'mongrel_s_001783.png', b'elk_s_000907.png', b'cabin_cruiser_s_001440.png', b'delivery_van_s_000066.png', b'cascades_frog_s_000296.png', b'rig_s_000105.png', b'cervus_elaphus_s_000778.png', b'felis_catus_s_000396.png', b'reconnaissance_plane_s_000827.png', b'convertible_s_001480.png', b'dunnock_s_000255.png', b'prunella_modularis_s_000049.png', b'deer_s_000346.png', b'western_toad_s_000286.png', b'lightship_s_001938.png', b'cargo_vessel_s_001419.png', b'canis_familiaris_s_000216.png', b'monoplane_s_001538.png', b'cat_s_002077.png', b'station_wagon_s_002389.png', b'police_boat_s_000765.png', b'mouser_s_000680.png', b'stealth_fighter_s_001006.png', b'broodmare_s_000635.png', b'tractor_trailer_s_002002.png', b'passenger_ship_s_000572.png', b'showboat_s_000182.png', b'transporter_s_000368.png', b'peke_s_000862.png', b'alauda_arvensis_s_001025.png', b'grass_frog_s_000840.png', b'cervus_sika_s_000243.png', b'ranid_s_000108.png', b'pilot_boat_s_001195.png', b'tipper_truck_s_000372.png', b'guard_boat_s_000030.png', b'deer_s_000386.png', b'powerboat_s_000323.png', b'airbus_s_001857.png', b'pekinese_s_001406.png', b'quarter_horse_s_002095.png', b'automobile_s_001468.png', b'wapiti_s_000584.png', b'lightship_s_001474.png', b'supertanker_s_000485.png', b'tabby_s_001531.png', b'sambar_s_000485.png', b'jumbojet_s_000175.png', b'stealth_fighter_s_001629.png', b'pekingese_s_001166.png', b'minelayer_s_000001.png', b'cat_s_000574.png', b'articulated_lorry_s_000609.png', b'felis_domesticus_s_000345.png', b'chihuahua_s_000180.png', b'tipper_lorry_s_000413.png', b'tipper_truck_s_000767.png', b'true_toad_s_000237.png', b'toy_spaniel_s_000793.png', b'mackinaw_s_000231.png', b'barking_frog_s_000598.png', b'felis_catus_s_001368.png', b'tennessee_walking_horse_s_001473.png', b'cassowary_s_000041.png', b'elk_s_001916.png', b'attack_aircraft_s_001433.png', b'lorry_s_001604.png', b'accentor_s_000065.png', b'estate_car_s_000196.png', b'seaplane_s_001156.png', b'tennessee_walker_s_000204.png', b'tabby_s_001548.png', b'ladder_truck_s_001908.png', b'boat_s_001466.png', b'hydrofoil_s_000206.png', b'deer_s_000524.png', b'stallion_s_000153.png', b'lipizzan_s_001228.png', b'american_toad_s_000051.png', b'trailer_truck_s_000256.png', b'maltese_dog_s_000788.png', b'pontoon_s_002099.png', b'rangifer_caribou_s_000090.png', b'spring_frog_s_000527.png', b'emu_s_001769.png', b'nandu_s_000227.png', b'arabian_s_000161.png', b'leptodactylus_pentadactylus_s_000136.png', b'felis_catus_s_000438.png', b'tabby_s_002217.png', b'moving_van_s_000019.png', b'cassowary_s_001393.png', b'tennessee_walker_s_001663.png', b'spadefoot_s_000595.png', b'tanker_s_001427.png', b'auto_s_001282.png', b'coupe_s_000950.png', b'dog_s_001795.png', b'ship_s_001357.png', b'pekingese_s_001150.png', b'odocoileus_hemionus_s_000393.png', b'barking_deer_s_000220.png', b'multiengine_airplane_s_000184.png', b'cat_s_001125.png', b'western_toad_s_000384.png', b'wagon_s_000825.png', b'fighter_aircraft_s_001791.png', b'rana_temporaria_s_000559.png', b'sparrow_s_000028.png', b'rana_pipiens_s_000614.png', b'amphibious_aircraft_s_001231.png', b'felis_domesticus_s_000155.png', b'rangifer_tarandus_s_000074.png', b'bufo_viridis_s_000448.png', b'lark_s_000061.png', b'green_frog_s_001090.png', b'cab_s_000894.png', b'compact_car_s_001312.png', b'stealth_bomber_s_002351.png', b'lippizaner_s_001008.png', b'bufo_bufo_s_000841.png', b'king_charles_spaniel_s_000257.png', b'fawn_s_000560.png', b'pekingese_s_000826.png', b'stud_mare_s_001347.png', b'shooting_brake_s_000502.png', b'mule_deer_s_001538.png', b'sika_s_001381.png', b'red_deer_s_001953.png', b'arabian_s_002329.png', b'odocoileus_hemionus_s_000281.png', b'roe_deer_s_000402.png', b'compact_car_s_001477.png', b'fawn_s_001426.png', b'tabby_cat_s_000035.png', b'bufo_viridis_s_000862.png', b'spring_frog_s_000125.png', b'ship_s_001973.png', b'garbage_truck_s_001221.png', b'green_frog_s_002030.png', b'tennessee_walker_s_000765.png', b'wagtail_s_001884.png', b'american_elk_s_000349.png', b'domestic_cat_s_001992.png', b'pekingese_s_001077.png', b'cat_s_000805.png', b'tennessee_walker_s_000849.png', b'tanker_s_000936.png', b'bufo_bufo_s_001924.png', b'bird_s_000093.png', b'seaplane_s_002093.png', b'biplane_s_000037.png', b'bomber_s_000138.png', b'struthio_camelus_s_001467.png', b'bird_s_000728.png', b'dog_s_001484.png', b'stud_mare_s_000073.png', b'automobile_s_001270.png', b'dump_truck_s_000394.png', b'rana_pipiens_s_000268.png', b'coupe_s_002015.png', b'fire_truck_s_000985.png', b'english_toy_spaniel_s_000122.png', b'aerial_ladder_truck_s_000229.png', b'biplane_s_001139.png', b'bufo_americanus_s_001653.png', b'maltese_s_000663.png', b'elk_s_000185.png', b'tabby_cat_s_002241.png', b'ship_s_001252.png', b'stealth_fighter_s_001260.png', b'bufo_americanus_s_001453.png', b'walking_horse_s_001712.png', b'compact_car_s_002247.png', b'lipizzan_s_001435.png', b'woodland_caribou_s_001092.png', b'tipper_truck_s_000197.png', b'icebreaker_s_002167.png', b'alauda_arvensis_s_000519.png', b'bufo_bufo_s_001056.png', b'stud_mare_s_001126.png', b'tomcat_s_000186.png', b'jumbojet_s_000647.png', b'toy_spaniel_s_000958.png', b'spring_frog_s_001520.png', b'stallion_s_000916.png', b'pekinese_s_001276.png', b'lippizaner_s_000803.png', b'car_s_001372.png', b'bufo_viridis_s_001049.png', b'alytes_obstetricans_s_000179.png', b'deer_s_001160.png', b'domestic_cat_s_000010.png', b'tabby_s_000275.png', b'camion_s_000132.png', b'ferry_s_000031.png', b'woodland_caribou_s_000447.png', b'house_cat_s_000086.png', b'rana_catesbeiana_s_001757.png', b'stag_s_000020.png', b'station_wagon_s_000704.png', b'ribbed_toad_s_000003.png', b'stud_mare_s_000769.png', b'fawn_s_000360.png', b'attack_aircraft_s_001424.png', b'convertible_s_000173.png', b'green_frog_s_001134.png', b'mouser_s_001262.png', b'automobile_s_001533.png', b'bird_s_001323.png', b'hangar_queen_s_000152.png', b'jumbo_jet_s_000939.png', b'rowboat_s_000336.png', b'rana_pipiens_s_000228.png', b'beach_wagon_s_000836.png', b'anuran_s_000812.png', b'tabby_s_001813.png', b'lightship_s_001083.png', b'chihuahua_s_001263.png', b'fighter_aircraft_s_001161.png', b'ladder_truck_s_001305.png', b'automobile_s_000455.png', b'japanese_spaniel_s_000416.png', b'fallow_deer_s_000438.png', b'wapiti_s_000471.png', b'stealth_fighter_s_000051.png', b'chihuahua_s_000034.png', b'anthus_pratensis_s_000592.png', b'bufo_bufo_s_001164.png', b'compact_car_s_001004.png', b'canis_familiaris_s_000315.png', b'tow_car_s_000205.png', b'stealth_bomber_s_000096.png', b'merchant_ship_s_001029.png', b'cargo_ship_s_000650.png', b'convertible_s_002107.png', b'barking_deer_s_001017.png', b'trucking_rig_s_001195.png', b'moose_s_001350.png', b'cervus_elaphus_s_001458.png', b'automobile_s_002597.png', b'propeller_plane_s_001010.png', b'quarter_horse_s_000010.png', b'mouser_s_000188.png', b'delivery_van_s_000090.png', b'police_cruiser_s_000960.png', b'jumbo_jet_s_000911.png', b'prunella_modularis_s_000905.png', b'cat_s_001096.png', b'taxi_s_000636.png', b'puppy_s_001398.png', b'ostrich_s_002275.png', b'crapaud_s_000777.png', b'delivery_truck_s_000991.png', b'meadow_pipit_s_000192.png', b'tabby_s_001283.png', b'biplane_s_001422.png', b'stud_mare_s_001179.png', b'moose_s_000981.png', b'alley_cat_s_002584.png', b'cat_s_001970.png', b'fighter_aircraft_s_001435.png', b'fire_engine_s_001112.png', b'mouser_s_000174.png', b'small_boat_s_000255.png', b'felis_domesticus_s_000226.png', b'fallow_deer_s_001777.png', b'dunnock_s_001022.png', b'songbird_s_002059.png', b'car_s_000170.png', b'tipper_s_001708.png', b'stealth_bomber_s_000983.png', b'struthio_camelus_s_000486.png', b'container_ship_s_001517.png', b'crapaud_s_000926.png', b'bufo_marinus_s_001181.png', b'amphibious_aircraft_s_000022.png', b'house_cat_s_001272.png', b'tabby_cat_s_001533.png', b'green_frog_s_001667.png', b'maltese_s_000374.png', b'tabby_s_000296.png', b'rangifer_tarandus_s_001222.png', b'motorcar_s_001177.png', b'passerine_s_000670.png', b'stealth_bomber_s_000085.png', b'cargo_vessel_s_002222.png', b'dumper_s_001318.png', b'cervus_unicolor_s_000307.png', b'car_s_000617.png', b'plantation_walking_horse_s_000226.png', b'alauda_arvensis_s_000667.png', b'bullfrog_s_001198.png', b'auto_s_000802.png', b'house_cat_s_000687.png', b'tomcat_s_001419.png', b'fighter_aircraft_s_001778.png', b'automobile_s_000224.png', b'moving_van_s_001400.png', b'mutt_s_000014.png', b'elk_s_001301.png', b'roe_deer_s_000031.png', b'abandoned_ship_s_000808.png', b'nandu_s_000048.png', b'grass_frog_s_000787.png', b'alauda_arvensis_s_001272.png', b'fire_truck_s_001585.png', b'lippizan_s_000630.png', b'arabian_s_001251.png', b'gelding_s_000732.png', b'truck_s_000294.png', b'lightship_s_000275.png', b'tow_car_s_000101.png', b'capreolus_capreolus_s_000586.png', b'muntjac_s_000343.png', b'tennessee_walking_horse_s_001594.png', b'coupe_s_001391.png', b'airbus_s_000830.png', b'muntjac_s_001377.png', b'tabby_cat_s_000731.png', b'leopard_frog_s_001769.png', b'house_cat_s_001374.png', b'tractor_trailer_s_001415.png', b'containership_s_000627.png', b'tabby_cat_s_001313.png', b'spring_frog_s_000118.png', b'outboard_s_000779.png', b'felis_catus_s_001152.png', b'rana_clamitans_s_000435.png', b'bufo_bufo_s_000272.png', b'wagtail_s_001402.png', b'rana_catesbeiana_s_000580.png', b'tennessee_walker_s_001715.png', b'tabby_cat_s_002344.png', b'dive_bomber_s_001334.png', b'airbus_s_000013.png', b'stealth_fighter_s_001363.png', b'anthus_pratensis_s_000496.png', b'pekinese_s_000589.png', b'motorcar_s_002481.png', b'emu_s_000857.png', b'tipper_s_001154.png', b'wagtail_s_002151.png', b'ostrich_s_001827.png', b'auto_s_000911.png', b'rana_temporaria_s_000775.png', b'tabby_s_002228.png', b'truck_s_000036.png', b'car_s_002296.png', b'estate_car_s_001433.png', b'cur_s_000170.png']\n"
          ]
        }
      ],
      "source": [
        "print(batch1[b'batch_label'])\n",
        
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lvx9kVYc3zqJ",
        "outputId": "4576af60-b032-4bb9-c508-c9556fa2562b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "we have 1000 images of 32x32x3 : (10000, 3072)\n",
            "[[ 59  43  50 ... 140  84  72]\n",
            " [154 126 105 ... 139 142 144]\n",
            " [255 253 253 ...  83  83  84]\n",
            " ...\n",
            " [ 71  60  74 ...  68  69  68]\n",
            " [250 254 211 ... 215 255 254]\n",
            " [ 62  61  60 ... 130 130 131]]\n"
          ]
        }
      ],
      "source": [
        "print(\"we have 1000 images of 32x32x3 :\",batch1[b'data'].shape)\n",
        "print(batch1[b'data'])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JUxiBXF3fKxO"
      },
      "source": [
        "##From above code it can be seen that Only important things are y = batch1[b'labels'] and X = batch1[b'data]"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ja_7DlWwfenj"
      },
      "source": [
        "Checking X"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "swrIMsin395X",
        "outputId": "7b259f94-3718-4343-8023-6f93d52678b5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "[[[ 59  43  50 ... 158 152 148]\n",
            "  [ 16   0  18 ... 123 119 122]\n",
            "  [ 25  16  49 ... 118 120 109]\n",
            "  ...\n",
            "  [208 201 198 ... 160  56  53]\n",
            "  [180 173 186 ... 184  97  83]\n",
            "  [177 168 179 ... 216 151 123]]\n",
            "\n",
            " [[ 62  46  48 ... 132 125 124]\n",
            "  [ 20   0   8 ...  88  83  87]\n",
            "  [ 24   7  27 ...  84  84  73]\n",
            "  ...\n",
            "  [170 153 161 ... 133  31  34]\n",
            "  [139 123 144 ... 148  62  53]\n",
            "  [144 129 142 ... 184 118  92]]\n",
            "\n",
            " [[ 63  45  43 ... 108 102 103]\n",
            "  [ 20   0   0 ...  55  50  57]\n",
            "  [ 21   0   8 ...  50  50  42]\n",
            "  ...\n",
            "  [ 96  34  26 ...  70   7  20]\n",
            "  [ 96  42  30 ...  94  34  34]\n",
            "  [116  94  87 ... 140  84  72]]]\n"
          ]
        }
      ],
      "source": [
        "image = batch1[b'data'][0]\n",
        "image = image.reshape(3,32,32)\n",
        "print(image)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 90
        },
        "id": "IikfCelB-CqP",
        "outputId": "d4371319-eaaa-401b-fbef-662944c24ca6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(32, 32, 3)\n"
          ]
        },
        {
          "data": {
            "text/html": [
              "<style>\n",
              "      .ndarray_repr .ndarray_raw_data {\n",
              "        display: none;\n",
              "      }\n",
              "      .ndarray_repr.show_array .ndarray_raw_data {\n",
              "        display: block;\n",
              "      }\n",
              "      .ndarray_repr.show_array .ndarray_image_preview {\n",
              "        display: none;\n",
              "      }\n",
              "      </style>\n",
              "      <div id=\"id-fbbfaa09-4e02-4eea-b16a-29886945f6fc\" class=\"ndarray_repr\"><pre>ndarray (32, 32, 3) <button style=\"padding: 0 2px;\">show data</button></pre><img src=\"data:image/png;base64,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\" class=\"ndarray_image_preview\" /><pre class=\"ndarray_raw_data\">array([[[ 59,  62,  63],\n",
              "        [ 43,  46,  45],\n",
              "        [ 50,  48,  43],\n",
              "        ...,\n",
              "        [158, 132, 108],\n",
              "        [152, 125, 102],\n",
              "        [148, 124, 103]],\n",
              "\n",
              "       [[ 16,  20,  20],\n",
              "        [  0,   0,   0],\n",
              "        [ 18,   8,   0],\n",
              "        ...,\n",
              "        [123,  88,  55],\n",
              "        [119,  83,  50],\n",
              "        [122,  87,  57]],\n",
              "\n",
              "       [[ 25,  24,  21],\n",
              "        [ 16,   7,   0],\n",
              "        [ 49,  27,   8],\n",
              "        ...,\n",
              "        [118,  84,  50],\n",
              "        [120,  84,  50],\n",
              "        [109,  73,  42]],\n",
              "\n",
              "       ...,\n",
              "\n",
              "       [[208, 170,  96],\n",
              "        [201, 153,  34],\n",
              "        [198, 161,  26],\n",
              "        ...,\n",
              "        [160, 133,  70],\n",
              "        [ 56,  31,   7],\n",
              "        [ 53,  34,  20]],\n",
              "\n",
              "       [[180, 139,  96],\n",
              "        [173, 123,  42],\n",
              "        [186, 144,  30],\n",
              "        ...,\n",
              "        [184, 148,  94],\n",
              "        [ 97,  62,  34],\n",
              "        [ 83,  53,  34]],\n",
              "\n",
              "       [[177, 144, 116],\n",
              "        [168, 129,  94],\n",
              "        [179, 142,  87],\n",
              "        ...,\n",
              "        [216, 184, 140],\n",
              "        [151, 118,  84],\n",
              "        [123,  92,  72]]], dtype=uint8)</pre></div><script>\n",
              "      (() => {\n",
              "      const titles = ['show data', 'hide data'];\n",
              "      let index = 0\n",
              "      document.querySelector('#id-fbbfaa09-4e02-4eea-b16a-29886945f6fc button').onclick = (e) => {\n",
              "        document.querySelector('#id-fbbfaa09-4e02-4eea-b16a-29886945f6fc').classList.toggle('show_array');\n",
              "        index = (++index) % 2;\n",
              "        document.querySelector('#id-fbbfaa09-4e02-4eea-b16a-29886945f6fc button').textContent = titles[index];\n",
              "        e.preventDefault();\n",
              "        e.stopPropagation();\n",
              "      }\n",
              "      })();\n",
              "    </script>"
            ],
            "text/plain": [
              "array([[[ 59,  62,  63],\n",
              "        [ 43,  46,  45],\n",
              "        [ 50,  48,  43],\n",
              "        ...,\n",
              "        [158, 132, 108],\n",
              "        [152, 125, 102],\n",
              "        [148, 124, 103]],\n",
              "\n",
              "       [[ 16,  20,  20],\n",
              "        [  0,   0,   0],\n",
              "        [ 18,   8,   0],\n",
              "        ...,\n",
              "        [123,  88,  55],\n",
              "        [119,  83,  50],\n",
              "        [122,  87,  57]],\n",
              "\n",
              "       [[ 25,  24,  21],\n",
              "        [ 16,   7,   0],\n",
              "        [ 49,  27,   8],\n",
              "        ...,\n",
              "        [118,  84,  50],\n",
              "        [120,  84,  50],\n",
              "        [109,  73,  42]],\n",
              "\n",
              "       ...,\n",
              "\n",
              "       [[208, 170,  96],\n",
              "        [201, 153,  34],\n",
              "        [198, 161,  26],\n",
              "        ...,\n",
              "        [160, 133,  70],\n",
              "        [ 56,  31,   7],\n",
              "        [ 53,  34,  20]],\n",
              "\n",
              "       [[180, 139,  96],\n",
              "        [173, 123,  42],\n",
              "        [186, 144,  30],\n",
              "        ...,\n",
              "        [184, 148,  94],\n",
              "        [ 97,  62,  34],\n",
              "        [ 83,  53,  34]],\n",
              "\n",
              "       [[177, 144, 116],\n",
              "        [168, 129,  94],\n",
              "        [179, 142,  87],\n",
              "        ...,\n",
              "        [216, 184, 140],\n",
              "        [151, 118,  84],\n",
              "        [123,  92,  72]]], dtype=uint8)"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "image = image.transpose(1,2,0)\n",
        "print(image.shape)\n",
        "image"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "mzubFzui-o4t",
        "outputId": "8adada9c-10e3-4343-c718-8977ee8448ed"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7cebf610a3b0>"
            ]
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.imshow(image)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AZoCNRM0-qjN",
        "outputId": "76c7cc1b-5108-48cc-e8cd-d11f5aeeedfe"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "(10000, 32, 32, 3)\n"
          ]
        }
      ],
      "source": [
        "data = batch1[b'data']\n",
        "data = data.reshape(len(data),3,32,32).transpose(0,2,3,1)\n",
        "print(data.shape)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 434
        },
        "id": "JHY-XfrR_Qgv",
        "outputId": "1892fe40-fd2c-4718-e988-553faa95e057"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 16 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "for i in range(16):\n",
        "  plt.subplot(4,4,i+1)\n",
        "  plt.imshow(data[i])\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iOKm1FAmgPj-"
      },
      "source": [
        "##Forming a tuple for training data and testing data of the form (X,y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "PYx80veZ_jmC"
      },
      "outputs": [],
      "source": [
        "train_batch = [batch1,batch2,batch3,batch4,batch5]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FSRz15XkimtK",
        "outputId": "7bc462fa-a261-4b93-e811-980b5d92cc76"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Keys of dictionary dict_keys([b'batch_label', b'labels', b'data', b'filenames'])\n",
            "b'training batch 1 of 5'\n",
            "labels :  [6, 9, 9, 4, 1, 1, 2, 7, 8, 3, 4, 7, 7, 2, 9, 9, 9, 3, 2, 6, 4, 3, 6, 6, 2, 6, 3, 5, 4, 0, 0, 9, 1, 3, 4, 0, 3, 7, 3, 3, 5, 2, 2, 7, 1, 1, 1, 2, 2, 0, 9, 5, 7, 9, 2, 2, 5, 2, 4, 3, 1, 1, 8, 2, 1, 1, 4, 9, 7, 8, 5, 9, 6, 7, 3, 1, 9, 0, 3, 1, 3, 5, 4, 5, 7, 7, 4, 7, 9, 4, 2, 3, 8, 0, 1, 6, 1, 1, 4, 1, 8, 3, 9, 6, 6, 1, 8, 5, 2, 9, 9, 8, 1, 7, 7, 0, 0, 6, 9, 1, 2, 2, 9, 2, 6, 6, 1, 9, 5, 0, 4, 7, 6, 7, 1, 8, 1, 1, 2, 8, 1, 3, 3, 6, 2, 4, 9, 9, 5, 4, 3, 6, 7, 4, 6, 8, 5, 5, 4, 3, 1, 8, 4, 7, 6, 0, 9, 5, 1, 3, 8, 2, 7, 5, 3, 4, 1, 5, 7, 0, 4, 7, 5, 5, 1, 0, 9, 6, 9, 0, 8, 7, 8, 8, 2, 5, 2, 3, 5, 0, 6, 1, 9, 3, 6, 9, 1, 3, 9, 6, 6, 7, 1, 0, 9, 5, 8, 5, 2, 9, 0, 8, 8, 0, 6, 9, 1, 1, 6, 3, 7, 6, 6, 0, 6, 6, 1, 7, 1, 5, 8, 3, 6, 6, 8, 6, 8, 4, 6, 6, 1, 3, 8, 3, 4, 1, 7, 1, 3, 8, 5, 1, 1, 4, 0, 9, 3, 7, 4, 9, 9, 2, 4, 9, 9, 1, 0, 5, 9, 0, 8, 2, 1, 2, 0, 5, 6, 3, 2, 7, 8, 8, 6, 0, 7, 9, 4, 5, 6, 4, 2, 1, 1, 2, 1, 5, 9, 9, 0, 8, 4, 1, 1, 6, 3, 3, 9, 0, 7, 9, 7, 7, 9, 1, 5, 1, 6, 6, 8, 7, 1, 3, 0, 3, 3, 2, 4, 5, 7, 5, 9, 0, 3, 4, 0, 4, 4, 6, 0, 0, 6, 6, 0, 8, 1, 6, 2, 9, 2, 5, 9, 6, 7, 4, 1, 8, 7, 3, 6, 9, 3, 0, 4, 0, 5, 1, 0, 3, 4, 8, 5, 4, 7, 2, 3, 9, 7, 6, 7, 1, 4, 7, 0, 1, 7, 3, 1, 8, 4, 4, 2, 0, 2, 2, 0, 0, 9, 0, 9, 6, 8, 2, 7, 7, 4, 0, 3, 0, 8, 9, 4, 2, 7, 2, 5, 2, 5, 1, 9, 4, 8, 5, 1, 7, 4, 4, 0, 6, 9, 0, 7, 8, 8, 9, 9, 3, 3, 4, 0, 4, 5, 6, 6, 0, 1, 0, 8, 0, 4, 8, 8, 1, 5, 2, 6, 8, 1, 0, 0, 7, 7, 5, 9, 6, 2, 8, 3, 4, 7, 3, 9, 0, 1, 2, 4, 8, 1, 8, 6, 4, 4, 5, 7, 1, 3, 9, 8, 0, 1, 7, 5, 8, 2, 8, 0, 4, 1, 8, 9, 8, 2, 9, 9, 2, 7, 5, 7, 3, 8, 8, 4, 4, 2, 7, 1, 6, 4, 0, 4, 6, 9, 7, 6, 2, 5, 5, 1, 7, 2, 2, 2, 9, 5, 4, 2, 7, 8, 1, 3, 4, 3, 7, 6, 9, 8, 0, 6, 0, 2, 2, 2, 1, 8, 4, 0, 1, 8, 8, 1, 5, 7, 6, 4, 5, 8, 7, 1, 9, 1, 9, 8, 4, 7, 3, 8, 8, 2, 6, 6, 7, 1, 6, 8, 1, 9, 7, 8, 3, 0, 1, 0, 8, 8, 3, 0, 0, 1, 5, 0, 8, 8, 7, 9, 9, 0, 9, 4, 1, 3, 6, 6, 4, 4, 7, 5, 6, 0, 8, 0, 3, 2, 8, 4, 6, 9, 9, 7, 0, 3, 3, 6, 7, 4, 9, 1, 6, 2, 7, 2, 2, 0, 6, 7, 5, 7, 6, 8, 9, 0, 9, 4, 4, 7, 0, 9, 4, 9, 6, 9, 4, 5, 7, 9, 2, 4, 5, 1, 4, 3, 9, 6, 5, 6, 9, 3, 3, 5, 0, 7, 2, 1, 3, 6, 4, 0, 0, 2, 5, 0, 1, 0, 2, 3, 9, 8, 4, 9, 8, 0, 2, 6, 4, 4, 0, 1, 8, 8, 3, 6, 9, 6, 6, 7, 8, 2, 4, 5, 7, 6, 5, 3, 0, 5, 0, 5, 0, 8, 2, 6, 7, 3, 8, 2, 1, 7, 6, 7, 1, 0, 9, 5, 5, 0, 1, 7, 6, 9, 0, 4, 7, 7, 1, 5, 9, 4, 0, 8, 5, 9, 9, 6, 7, 1, 8, 3, 2, 3, 8, 2, 2, 4, 6, 0, 0, 5, 3, 8, 2, 3, 7, 2, 9, 3, 8, 7, 8, 2, 7, 9, 0, 2, 3, 2, 2, 2, 3, 3, 6, 2, 3, 2, 8, 0, 5, 5, 1, 4, 5, 6, 6, 2, 7, 0, 1, 7, 7, 8, 2, 9, 2, 2, 4, 2, 1, 1, 1, 6, 6, 6, 5, 1, 1, 7, 0, 4, 3, 3, 7, 1, 2, 3, 5, 5, 5, 6, 1, 4, 3, 7, 8, 8, 3, 6, 6, 2, 3, 0, 9, 4, 3, 8, 0, 0, 1, 1, 5, 4, 9, 3, 1, 8, 9, 3, 9, 9, 2, 9, 4, 8, 2, 9, 8, 8, 1, 5, 3, 6, 8, 7, 6, 9, 8, 0, 6, 4, 0, 0, 2, 5, 8, 2, 0, 2, 7, 6, 9, 7, 1, 5, 5, 6, 6, 3, 6, 2, 4, 7, 0, 5, 6, 4, 6, 5, 2, 4, 6, 1, 6, 0, 4, 0, 3, 1, 8, 5, 4, 4, 1, 7, 3, 9, 4, 7, 9, 7, 3, 7, 2, 8, 4, 6, 6, 1, 2, 9, 0, 4, 8, 7, 3, 9, 8, 7, 7, 0, 2, 4, 1, 1, 4, 1, 5, 4, 0, 5, 6, 2, 8, 5, 0, 2, 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4, 0, 7, 3, 1, 7, 9, 0, 1, 6, 6, 8, 8, 3, 0, 3, 3, 1, 6, 9, 4, 8, 8, 8, 6, 6, 2, 3, 9, 3, 8, 6, 2, 2, 0, 2, 5, 6, 8, 0, 2, 2, 8, 8, 3, 3, 3, 8, 2, 6, 6, 1, 7, 2, 7, 5, 5, 3, 8, 2, 0, 8, 4, 4, 8, 4, 5, 5, 7, 6, 3, 2, 3, 8, 1, 1, 6, 9, 0, 6, 7, 2, 4, 3, 4, 6, 8, 6, 0, 8, 8, 9, 7, 2, 7, 0, 4, 2, 3, 0, 6, 1, 0, 9, 3, 9, 1, 6, 2, 1, 1, 1, 0, 0, 0, 0, 2, 3, 0, 9, 3, 3, 7, 1, 6, 7, 9, 8, 2, 8, 4, 7, 0, 4, 0, 1, 8, 2, 3, 8, 1, 9, 9, 1, 6, 7, 1, 4, 0, 3, 5, 1, 0, 4, 8, 3, 5, 9, 7, 4, 2, 9, 9, 0, 2, 1, 8, 3, 9, 3, 5, 0, 5, 2, 3, 9, 0, 3, 3, 8, 3, 2, 2, 5, 8, 2, 6, 6, 2, 2, 1, 1, 7, 4, 2, 3, 8, 1, 2, 3, 4, 0, 2, 7, 5, 1, 0, 1, 2, 3, 6, 2, 5, 1, 5, 0, 0, 1, 7, 7, 5, 5, 6, 0, 4, 0, 3, 8, 6, 9, 8, 6, 1, 0, 2, 2, 6, 1, 8, 5, 3, 1, 9, 1, 1, 8, 5, 6, 1, 4, 2, 8, 4, 2, 7, 5, 5, 8, 0, 5, 1, 9, 3, 4, 8, 0, 8, 3, 5, 6, 4, 3, 6, 4, 0, 3, 4, 5, 3, 4, 2, 5, 3, 8, 0, 5, 8, 4, 0, 8, 5, 2, 5, 7, 8, 4, 2, 9, 5, 8, 8, 3, 3, 5, 3, 4, 9, 5, 0, 6, 1, 9, 0, 0, 9, 7, 1, 8, 3, 9, 2, 1, 7, 1, 9, 6, 9, 7, 7, 0, 2, 7, 7, 9, 9, 3, 5, 2, 2, 9, 2, 5, 5, 9, 5, 8, 3, 4, 1, 2, 5, 6, 3, 8, 4, 1, 2, 2, 0, 7, 6, 7, 1, 2, 8, 3, 1, 7, 4, 5, 9, 0, 3, 7, 8, 0, 7, 4, 2, 6, 9, 0, 2, 7, 4, 7, 3, 1, 7, 5, 1, 4, 0, 2, 4, 4, 3, 3, 0, 0, 8, 3, 3, 0, 9, 1, 7, 7, 0, 6, 9, 2, 4, 8, 5, 8, 5, 8, 9, 4, 4, 4, 8, 5, 3, 7, 0, 2, 5, 9, 8, 4, 9, 4, 2, 1, 3, 0, 3, 4, 8, 0, 1, 1, 9, 8, 7, 6, 1, 6, 3, 9, 6, 0, 2, 9, 2, 9, 6, 0, 0, 8, 6, 4, 9, 1, 1, 0, 5, 0, 2, 8, 4, 5, 9, 2, 6, 7, 4, 5, 5, 7, 6, 3, 8, 7, 9, 8, 4, 4, 6, 1, 1, 2, 0, 9, 1, 7, 2, 8, 8, 2, 1, 4, 4, 8, 4, 4, 6, 9, 5, 8, 5, 5, 7, 7, 5, 9, 5, 3, 4, 9, 9, 3, 7, 6, 9, 5, 8, 6, 6, 0, 7, 9, 2, 8, 3, 7, 0, 4, 0, 8, 8, 6, 2, 1, 2, 8, 9, 7, 2, 0, 2, 7, 6, 9, 1, 4, 8, 2, 8, 6, 7, 1, 1, 0, 1, 4, 6, 0, 4, 7, 1, 6, 0, 1, 9, 9, 8, 1, 6, 9, 1, 9, 9, 0, 1, 1, 7, 1, 8, 9, 1, 0, 0, 5, 7, 4, 4, 6, 5, 2, 5, 9, 8, 6, 5, 5, 3, 7, 8, 7, 7, 6, 3, 3, 1, 5, 9, 6, 7, 7, 3, 1, 7, 3, 2, 6, 6, 9, 8, 7, 2, 6, 8, 7, 7, 5, 1, 0, 7, 1, 7, 2, 1, 3, 4, 4, 9, 6, 2, 3, 8, 8, 0, 4, 7, 2, 7, 7, 9, 3, 7, 6, 8, 3, 9, 6, 4, 7, 4, 0, 3, 8, 9, 7, 0, 0, 5, 0, 7, 8, 8, 1, 8, 2, 9, 5, 8, 9, 5, 5, 2, 4, 8, 6, 3, 7, 2, 5, 5, 0, 3, 7, 4, 8, 1, 5, 1, 1, 7, 0, 1, 6, 7, 6, 8, 4, 0, 6, 6, 4, 2, 8, 7, 6, 3, 3, 7, 2, 3, 8, 9, 8, 7, 7, 4, 8, 3, 8, 7, 9, 2, 9, 9, 1, 5, 5, 4, 0, 6, 1, 2, 6, 3, 3, 2, 0, 5, 9, 7, 7, 0, 5, 0, 9, 2, 7, 7, 0, 9, 5, 5, 1, 9, 0, 3, 3, 9, 6, 7, 4, 8, 2, 5, 8, 2, 1, 4, 9, 0, 8, 2, 4, 0, 1, 2, 3, 0, 9, 4, 8, 3, 8, 9, 2, 3, 1, 4, 5, 1, 5, 1, 0, 2, 5, 2, 1, 8, 6, 4, 5, 0, 9, 3, 1, 0, 9, 1, 0, 7, 6, 6, 7, 7, 2, 6, 9, 3, 4, 5, 1, 9, 6, 6, 4, 8, 8, 6, 0, 4, 9, 5, 9, 9, 3, 9, 9, 0, 2, 2, 7, 3, 5, 1, 0, 9, 5, 8, 0, 8, 1, 1, 0, 0, 7, 4, 8, 2, 3, 3, 2, 5, 6, 0, 1, 8, 2, 6, 6, 2, 1, 3, 6, 5, 8, 3, 2, 0, 8, 1, 7, 9, 7, 2, 0, 4, 6, 8, 1, 5, 7, 9, 7, 0, 4, 1, 7, 5, 8, 7, 4, 8, 7, 3, 7, 4, 4, 0, 4, 7, 4, 3, 5, 3, 8, 1, 7, 8, 5, 7, 0, 8, 7, 5, 5, 4, 7, 1, 9, 0, 5, 2, 6, 1, 4, 8, 0, 6, 3, 1, 9, 7, 3, 5, 6, 6, 9, 8, 0, 5, 9, 6, 2, 6, 9, 5, 8, 3, 0, 5, 1, 7, 2, 8, 0, 4, 0, 8, 1, 3, 9, 7, 1, 3, 6, 7, 4, 8, 6, 7, 5, 3, 4, 3, 5, 2, 6, 9, 5, 0, 1, 7, 4, 8, 9, 4, 2, 2, 9, 0, 3, 3, 1, 3, 0, 4, 2, 1, 4, 0, 8, 2, 1, 4, 4, 3, 6, 6, 8, 3, 9, 9, 9, 9, 6, 5, 0, 8, 2, 3, 5, 9, 8, 2, 8, 3, 4, 1, 1, 7, 6, 9, 2, 1, 4, 6, 3, 3, 2, 1, 8, 1, 0, 0, 0, 3, 4, 0, 8, 0, 9, 1, 2, 8, 0, 1, 7, 7, 3, 4, 7, 8, 0, 2, 7, 1, 3, 7, 4, 6, 1, 7, 6, 1, 2, 6, 9, 8, 2, 0, 1, 0, 9, 6, 5, 3, 2, 4, 6, 5, 4, 9, 3, 8, 8, 7, 3, 6, 1, 2, 9, 8, 8, 1, 0, 3, 0, 8, 0, 0, 6, 6, 1, 3, 3, 6, 6, 5, 7, 5, 3, 8, 2, 1, 9, 0, 4, 6, 9, 2, 3, 9, 4, 1, 4, 2, 2, 3, 4, 8, 4, 3, 0, 6, 8, 8, 6, 2, 3, 3, 7, 3, 5, 2, 9, 6, 0, 2, 3, 5, 2, 4, 9, 5, 1, 6, 0, 3, 3, 7, 3, 7, 9, 8, 1, 5, 2, 8, 0, 2, 9, 5, 6, 6, 2, 6, 7, 4, 2, 4, 5, 8, 7, 6, 1, 1, 9, 5, 9, 7, 2, 1, 2, 9, 6, 8, 0, 3, 7, 7, 7, 8, 2, 3, 9, 0, 4, 1, 6, 4, 5, 0, 6, 6, 7, 2, 6, 9, 7, 9, 6, 6, 1, 3, 2, 4, 1, 1, 0, 4, 2, 6, 0, 8, 4, 4, 9, 8, 1, 5, 8, 1, 1, 8, 8, 9, 7, 2, 4, 5, 6, 4, 9, 6, 7, 5, 0, 8, 3, 5, 4, 5, 0, 5, 0, 2, 3, 0, 3, 7, 5, 0, 2, 3, 2, 3, 5, 9, 6, 3, 3, 8, 3, 9, 1, 7, 3, 0, 2, 0, 7, 5, 1, 1, 2, 6, 6, 1, 6, 8, 0, 8, 1, 0, 7, 2, 7, 3, 2, 3, 1, 9, 5, 3, 6, 9, 2, 4, 3, 8, 3, 8, 7, 2, 4, 2, 8, 4, 4, 2, 5, 6, 3, 9, 4, 6, 7, 0, 4, 4, 1, 8, 6, 2, 7, 4, 3, 1, 0, 7, 0, 9, 5, 8, 0, 1, 6, 9, 5, 0, 0, 2, 8, 5, 4, 0, 5, 1, 3, 3, 4, 9, 5, 3, 3, 1, 0, 1, 2, 2, 3, 6, 1, 2, 7, 8, 1, 9, 0, 6, 8, 6, 0, 8, 9, 2, 3, 7, 6, 2, 9, 8, 8, 6, 3, 0, 6, 9, 5, 9, 0, 7, 2, 0, 1, 2, 4, 1, 7, 5, 5, 2, 9, 2, 0, 5, 7, 4, 7, 7, 2, 7, 6, 5, 1, 5, 9, 7, 2, 0, 8, 9, 8, 6, 8, 5, 0, 7, 7, 8, 2, 1, 6, 1, 3, 1, 6, 6, 8, 2, 3, 7, 9, 8, 3, 8, 5, 7, 0, 1, 0, 7, 4, 2, 0, 4, 9, 4, 2, 7, 7, 4, 4, 1, 1, 0, 9, 0, 9, 8, 6, 4, 7, 2, 2, 2, 6, 0, 2, 1, 0, 2, 8, 4, 4, 6, 5, 9, 0, 1, 1, 8, 5, 1, 1, 8, 9, 0, 6, 4, 8, 4, 5, 7, 1, 4, 6, 2, 2, 6, 8, 2, 9, 2, 2, 7, 1, 4, 5, 3, 1, 0, 8, 4, 4, 3, 7, 8, 9, 3, 6, 1, 2, 1, 2, 2, 7, 1, 1, 1, 2, 5, 7, 2, 2, 7, 3, 4, 4, 5, 1, 0, 2, 9, 8, 3, 9, 1, 2, 0, 5, 9, 5, 9, 3, 1, 0, 3, 3, 0, 4, 0, 8, 4, 0, 1, 7, 5, 8, 3, 6, 9, 8, 7, 2, 8, 2, 3, 4, 5, 2, 6, 7, 4, 2, 7, 5, 5, 4, 8, 8, 1, 3, 8, 5, 4, 8, 9, 6, 9, 4, 3, 0, 1, 2, 2, 4, 6, 8, 8, 5, 0, 3, 1, 8, 3, 0, 7, 9, 8, 8, 9, 5, 2, 6, 4, 6, 8, 9, 8, 4, 8, 0, 5, 7, 1, 4, 8, 8, 3, 4, 0, 0, 5, 8, 3, 9, 3, 5, 9, 9, 6, 5, 8, 6, 3, 7, 2, 4, 0, 9, 2, 1, 0, 7, 3, 9, 8, 8, 4, 7, 7, 6, 9, 5, 8, 4, 6, 2, 2, 7, 6, 3, 3, 9, 2, 7, 6, 8, 1, 1, 5, 8, 5, 4, 4, 0, 3, 6, 1, 0, 6, 2, 6, 0, 3, 4, 6, 2, 6, 1, 1, 0, 7, 6, 5, 4, 5, 7, 1, 4, 4, 4, 7, 4, 4, 1, 4, 3, 6, 6, 8, 9, 6, 7, 2, 4, 3, 5, 3, 7, 8, 6, 2, 0, 0, 0, 2, 2, 5, 7, 1, 9, 6, 1, 9, 5, 9, 0, 6, 5, 4, 3, 8, 0, 6, 7, 1, 7, 4, 9, 8, 2, 6, 7, 3, 0, 5, 6, 7, 5, 7, 1, 6, 6, 4, 3, 3, 9, 8, 4, 3, 6, 4, 1, 6, 7, 4, 0, 1, 6, 3, 1, 2, 0, 0, 8, 6, 1, 6, 3, 8, 5, 0, 9, 1, 5, 4, 4, 0, 5, 2, 6, 1, 5, 9, 0, 8, 8, 1, 4, 9, 4, 4, 1, 0, 7, 3, 9, 1, 0, 2, 3, 1, 5, 2, 6, 9, 2, 3, 0, 7, 4, 3, 3, 0, 9, 3, 8, 3, 4, 2, 2, 1, 9, 0, 2, 8, 6, 6, 0, 3, 3, 6, 5, 3, 4, 1, 2, 0, 8, 9, 4, 1, 7, 2, 6, 1, 3, 3, 0, 1, 9, 5, 4, 4, 8, 2, 6, 2, 9, 7, 7, 7, 9, 8, 9, 4, 4, 7, 1, 0, 4, 3, 6, 3, 9, 8, 3, 6, 8, 3, 6, 6, 2, 6, 7, 3, 0, 0, 0, 2, 5, 1, 2, 9, 2, 2, 1, 6, 3, 9, 1, 1, 5]\n",
            "shape of x_data :  (10000, 32, 32, 3)\n",
            "\n",
            "Keys of dictionary dict_keys([b'batch_label', b'labels', b'data', b'filenames'])\n",
            "b'training batch 2 of 5'\n",
            "labels :  [1, 6, 6, 8, 8, 3, 4, 6, 0, 6, 0, 3, 6, 6, 5, 4, 8, 3, 2, 6, 0, 3, 1, 4, 0, 6, 6, 2, 7, 6, 9, 0, 4, 5, 7, 1, 6, 7, 9, 1, 7, 7, 8, 0, 3, 7, 4, 7, 3, 1, 0, 4, 6, 6, 1, 4, 9, 2, 6, 4, 5, 0, 4, 6, 0, 8, 3, 4, 8, 8, 3, 9, 5, 7, 1, 9, 4, 7, 9, 1, 9, 7, 5, 2, 7, 3, 4, 8, 8, 2, 1, 5, 9, 2, 7, 8, 8, 6, 8, 8, 1, 3, 8, 8, 5, 4, 7, 1, 6, 6, 1, 6, 1, 6, 7, 0, 4, 6, 9, 5, 8, 7, 1, 9, 0, 3, 3, 7, 6, 9, 0, 4, 7, 1, 4, 3, 4, 3, 9, 8, 7, 0, 8, 3, 9, 1, 0, 8, 0, 9, 4, 0, 2, 1, 4, 2, 7, 1, 7, 0, 2, 9, 7, 9, 8, 6, 4, 4, 1, 1, 7, 8, 8, 6, 4, 5, 6, 3, 9, 4, 2, 5, 3, 6, 7, 7, 3, 9, 1, 3, 1, 8, 3, 3, 5, 6, 4, 0, 9, 6, 6, 5, 0, 6, 2, 0, 5, 4, 9, 3, 4, 6, 0, 6, 7, 0, 7, 2, 6, 9, 6, 5, 4, 5, 4, 7, 7, 6, 8, 1, 5, 9, 7, 8, 8, 7, 1, 4, 6, 4, 2, 2, 5, 0, 3, 8, 9, 4, 1, 1, 4, 1, 9, 6, 3, 3, 6, 9, 5, 7, 6, 9, 4, 2, 4, 0, 0, 0, 8, 7, 5, 1, 8, 6, 7, 0, 1, 7, 7, 8, 2, 7, 4, 8, 8, 9, 8, 9, 8, 2, 8, 9, 1, 3, 5, 7, 4, 0, 1, 4, 4, 0, 8, 4, 3, 7, 9, 7, 7, 9, 3, 6, 9, 8, 1, 5, 9, 8, 5, 5, 3, 3, 3, 0, 5, 1, 0, 6, 7, 3, 0, 9, 0, 7, 0, 4, 8, 8, 0, 7, 0, 3, 9, 0, 8, 6, 8, 7, 7, 6, 4, 9, 1, 0, 8, 0, 6, 6, 7, 1, 2, 8, 1, 1, 6, 0, 5, 4, 7, 8, 1, 7, 4, 9, 6, 9, 8, 1, 2, 6, 1, 8, 5, 3, 7, 4, 7, 1, 9, 2, 9, 2, 4, 1, 0, 8, 2, 5, 2, 0, 6, 0, 8, 1, 4, 9, 2, 5, 8, 2, 5, 8, 2, 5, 3, 4, 8, 2, 3, 4, 1, 9, 7, 5, 5, 0, 4, 3, 2, 5, 3, 6, 5, 2, 8, 7, 2, 8, 2, 3, 2, 3, 8, 8, 6, 8, 1, 4, 9, 7, 1, 4, 3, 1, 3, 0, 8, 2, 1, 7, 6, 2, 3, 3, 3, 7, 7, 9, 3, 2, 0, 5, 4, 9, 2, 8, 1, 4, 4, 1, 2, 7, 5, 8, 5, 4, 0, 0, 3, 4, 7, 1, 3, 0, 9, 1, 7, 9, 2, 0, 4, 3, 7, 5, 9, 2, 3, 7, 3, 5, 6, 8, 2, 0, 5, 5, 0, 6, 3, 4, 9, 5, 1, 9, 8, 4, 0, 3, 7, 7, 8, 1, 6, 9, 3, 1, 4, 8, 7, 4, 7, 5, 5, 8, 1, 0, 7, 7, 0, 5, 6, 6, 7, 0, 6, 5, 5, 3, 3, 9, 7, 4, 7, 6, 1, 3, 5, 2, 1, 1, 4, 1, 8, 7, 0, 3, 1, 0, 0, 6, 7, 9, 2, 7, 7, 8, 5, 3, 2, 0, 9, 2, 4, 4, 2, 3, 6, 5, 7, 5, 6, 0, 7, 5, 4, 4, 8, 0, 2, 4, 8, 3, 2, 8, 1, 4, 2, 0, 3, 3, 8, 7, 9, 7, 2, 8, 9, 1, 2, 4, 1, 6, 5, 4, 3, 6, 6, 0, 8, 8, 4, 4, 1, 7, 1, 8, 8, 6, 1, 6, 0, 2, 1, 3, 4, 1, 0, 5, 9, 9, 2, 4, 9, 8, 8, 6, 7, 0, 5, 5, 5, 2, 7, 8, 0, 0, 6, 8, 1, 1, 8, 0, 8, 2, 7, 7, 0, 7, 8, 0, 0, 5, 5, 1, 4, 7, 5, 4, 9, 4, 2, 4, 8, 5, 6, 3, 4, 4, 8, 5, 5, 1, 7, 0, 1, 5, 0, 9, 6, 4, 4, 8, 3, 9, 5, 2, 5, 7, 4, 0, 7, 3, 0, 6, 7, 7, 4, 5, 6, 5, 5, 0, 2, 9, 5, 3, 3, 1, 1, 3, 2, 9, 3, 3, 7, 1, 2, 6, 5, 5, 5, 0, 9, 8, 0, 4, 4, 2, 5, 9, 3, 1, 7, 8, 6, 8, 0, 0, 7, 7, 5, 9, 0, 6, 3, 8, 6, 0, 3, 7, 1, 9, 6, 9, 6, 1, 0, 1, 0, 9, 5, 2, 2, 5, 0, 8, 9, 2, 4, 3, 8, 0, 0, 7, 3, 6, 7, 8, 7, 1, 5, 6, 8, 7, 1, 3, 1, 9, 6, 9, 9, 5, 1, 2, 4, 5, 8, 6, 4, 1, 8, 6, 2, 3, 5, 9, 1, 0, 8, 4, 9, 4, 7, 9, 3, 0, 8, 3, 7, 9, 2, 4, 5, 5, 8, 4, 2, 0, 1, 3, 3, 7, 0, 7, 7, 4, 8, 4, 5, 7, 5, 9, 1, 3, 7, 2, 7, 7, 4, 6, 4, 7, 7, 0, 9, 1, 0, 5, 2, 9, 4, 2, 1, 8, 4, 7, 8, 5, 6, 6, 1, 0, 1, 4, 5, 9, 7, 8, 3, 8, 6, 5, 6, 8, 5, 4, 2, 7, 8, 3, 9, 3, 7, 2, 9, 2, 6, 3, 6, 6, 2, 9, 3, 9, 2, 5, 6, 4, 3, 3, 4, 4, 0, 1, 0, 0, 8, 7, 3, 2, 3, 6, 8, 1, 1, 8, 4, 3, 2, 1, 4, 5, 9, 4, 8, 8, 2, 1, 5, 4, 8, 3, 4, 9, 6, 6, 8, 0, 7, 0, 0, 2, 1, 3, 7, 5, 9, 8, 7, 3, 1, 8, 0, 2, 5, 8, 2, 1, 0, 6, 8, 3, 2, 8, 0, 2, 5, 2, 0, 7, 4, 4, 0, 0, 5, 3, 3, 8, 3, 0, 2, 0, 5, 4, 5, 2, 4, 1, 6, 7, 3, 6, 8, 5, 6, 4, 7, 3, 6, 8, 2, 7, 3, 7, 0, 3, 0, 7, 8, 7, 0, 5, 5, 8, 4, 7, 6, 3, 7, 8, 6, 5, 5, 0, 4, 1, 0, 5, 0, 3, 0, 4, 1, 5, 2, 9, 8, 2, 7, 2, 6, 8, 4, 6, 5, 8, 9, 5, 6, 2, 0, 6, 7, 3, 9, 3, 2, 0, 7, 1, 6, 9, 5, 6, 0, 2, 4, 8, 4, 3, 3, 5, 0, 2, 6, 4, 9, 9, 9, 4, 1, 3, 1, 1, 1, 6, 7, 2, 4, 9, 9, 8, 5, 5, 6, 5, 7, 6, 8, 8, 6, 0, 9, 5, 7, 5, 2, 9, 8, 8, 5, 4, 7, 1, 5, 5, 5, 7, 2, 0, 9, 2, 9, 9, 5, 2, 0, 8, 0, 1, 8, 6, 6, 3, 9, 5, 5, 2, 3, 5, 4, 6, 3, 2, 2, 3, 1, 2, 2, 3, 8, 5, 2, 7, 6, 3, 8, 8, 0, 4, 9, 3, 6, 9, 7, 6, 0, 5, 0, 6, 2, 2, 3, 1, 0, 9, 4, 9, 7, 0, 9, 3, 9, 6, 3, 4, 3, 0, 0, 6, 0, 2, 1, 1, 8, 5, 6, 5, 8, 4, 4, 0, 2, 8, 4, 0, 2, 3, 9, 5, 7, 8, 5, 0, 1, 8, 8, 5, 3, 5, 2, 3, 8, 6, 5, 9, 0, 8, 7, 4, 0, 7, 4, 0, 7, 5, 2, 6, 2, 7, 6, 3, 9, 3, 3, 2, 9, 0, 5, 4, 7, 1, 0, 6, 0, 0, 8, 3, 1, 8, 6, 9, 9, 2, 5, 4, 9, 5, 6, 6, 3, 7, 5, 7, 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8, 1, 2, 3, 3, 4, 7, 2, 6, 8, 0, 2, 8, 1, 5, 3, 1, 8, 9, 3, 4, 2, 3, 9, 6, 5, 2, 8, 5, 2, 8, 0, 4, 6, 0, 0, 5, 0, 9, 0, 5, 9, 8, 1, 2, 2, 7, 3, 1, 9, 5, 3, 6, 9, 6, 2, 7, 5, 5, 7, 7, 2, 2, 3, 2, 0, 1, 3, 8, 0, 5, 6, 8, 3, 5, 9, 8, 0, 0, 1, 7, 5, 5, 3, 4, 2, 9, 8, 9, 2, 7, 1, 3, 7, 4, 3, 3, 2, 8, 6, 8, 2, 4, 2, 0, 8, 6, 5, 6, 6, 9, 9, 3, 5, 0, 9, 9, 9, 7, 4, 0, 7, 3, 3, 8, 7, 8, 5, 3, 9, 6, 3, 4, 3, 9, 0, 1, 3, 0, 1, 0, 8, 1, 1, 7, 7, 7, 0, 9, 7, 9, 7, 9, 1, 7, 7, 1, 1, 6, 7, 3, 1, 6, 2, 8, 4, 6, 0, 0, 2, 0, 7, 0, 6, 1, 5, 7, 5, 3, 3, 4, 7, 4, 5, 7, 7, 2, 3, 2, 4, 5, 0, 4, 0, 2, 4, 0, 1, 8, 0, 5, 8, 0, 7, 2, 6, 7, 0, 9, 5, 5, 3, 3, 8, 7, 8, 1, 9, 6, 7, 2, 1, 3, 3, 7, 3, 9, 3, 4, 5, 1, 7, 4, 9, 4, 1, 6, 6, 4, 3, 1, 2, 8, 2, 6, 7, 7, 3, 6, 3, 0, 7, 4, 2, 3, 0, 6, 7, 4, 6, 3, 9, 1, 7, 2, 6, 4, 4, 1, 7, 8, 7, 9, 5, 8, 1, 4, 5, 6, 6, 2, 5, 9, 8, 6, 6, 6, 7, 1, 9, 4, 1, 8, 5, 5, 4, 3, 3, 7, 8, 7, 5, 0, 1, 7, 4, 8, 8, 1, 7, 8, 9, 8, 3, 4, 0, 4, 4, 7, 8, 5, 9, 7, 3, 5, 7, 3, 5, 3, 1, 7, 7, 3, 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1, 7, 1, 9, 6, 7, 9, 9, 4, 7, 0, 1, 6, 7, 0, 6, 9, 5, 6, 5, 5, 6, 3, 1, 4, 0, 7, 4, 0, 0, 4, 3, 5, 7, 0, 9, 9, 6, 7, 7, 6, 6, 2, 2, 4, 6, 9, 7, 4, 6, 4, 1, 8, 7, 5, 6, 2, 7, 4, 4, 4, 8, 6, 0, 1, 2, 6, 7, 4, 2, 4, 8, 4, 1, 7, 5, 4, 5, 1, 1, 5, 4, 1, 8, 9, 1, 6, 9, 3, 0, 5, 2, 8, 5, 1, 7, 0, 8, 5, 5, 2, 6, 2, 5, 2, 3, 6, 7, 2, 1, 9, 7, 5, 1, 6, 4, 0, 2, 0, 6, 8, 0, 0, 8, 7, 3, 4, 3, 8, 9, 4, 4, 9, 1, 8, 3, 9, 5, 8, 1, 7, 8, 6, 3, 5, 6, 4, 5, 8, 0, 1, 4, 4, 5, 2, 7, 8, 8, 4, 2, 7, 8, 2, 3, 3, 2, 5, 5, 7, 8, 8, 4, 5, 3, 6, 8, 1, 4, 2, 2, 2, 7, 9, 5, 8, 3, 5, 8, 6, 6, 5, 9, 5, 8, 1, 6, 3, 1, 8, 9, 2, 4, 3, 3, 3, 5, 8, 2, 0, 8, 5, 7, 4, 4, 2, 5, 0, 8, 5, 0, 2, 9, 1, 4, 6, 9, 2, 0, 5, 9, 0, 0, 3, 6, 0, 7, 8, 8, 3, 1, 6, 2, 9, 7, 1, 5, 5, 0, 8, 3, 2, 9, 8, 5, 1, 2, 3, 2, 2, 5, 9, 5, 1, 1, 2, 0, 6, 4, 9, 8, 6, 7, 6, 6, 7, 3, 9, 6, 5, 1, 4, 6, 8, 5, 7, 2, 6, 0, 4, 0, 8, 2, 1, 5, 5, 4, 5, 5, 6, 3, 6, 2, 3, 2, 5, 4, 4, 0, 7, 4, 5, 8, 2, 9, 0, 0, 4, 9, 0, 1, 4, 8, 0, 8, 6, 6, 9, 1, 8, 7, 4, 0, 1, 5, 5, 5, 4, 1, 2, 7, 3, 6, 7, 8, 2, 3, 6, 1, 1, 1, 6, 3, 6, 9, 6, 7, 4, 4, 6, 9, 9, 1, 5, 5, 3, 8, 7, 6, 7, 6, 1, 9, 3, 9, 0, 6, 2, 9, 3, 4, 2, 4, 3, 8, 0, 9, 6, 3, 2, 3, 4, 2, 2, 1, 8, 8, 6, 0, 8, 0, 4, 2, 0, 3, 1, 3, 0, 0, 9, 3, 9, 8, 6, 8, 4, 5, 3, 7, 0, 4, 4, 7, 0, 6, 3, 4, 3, 7, 3, 1, 3, 1, 5, 7, 4, 2, 6, 8, 3, 9, 0, 1, 6, 5, 7, 9, 9, 7, 8, 6, 4, 7, 0, 4, 1, 9, 5, 5, 3, 7, 8, 0, 3, 7, 7, 3, 4, 0, 3, 9, 6, 4, 1, 2, 1, 5, 2, 8, 3, 5, 2, 4, 2, 9, 7, 3, 5, 1, 5, 4, 3, 5, 4, 2, 5, 3, 1, 7, 3, 1, 7, 2, 3, 3, 9, 2, 4, 7, 8, 4, 6, 1, 2, 3, 9, 3, 7, 8, 4, 2, 7, 0, 3, 4, 0, 6, 2, 5, 4, 9, 8, 8, 5, 7, 1, 7, 3, 5, 8, 4, 7, 0, 1, 1, 7, 2, 8, 3, 6, 6, 7, 8, 4, 7, 0, 9, 6, 5, 6, 6, 4, 0, 8, 9, 8, 7, 4, 1, 5, 4, 6, 1, 7, 9, 8, 4, 4, 8, 1, 5, 2, 8, 4, 9, 5, 5, 3, 6, 0, 2, 5, 5, 5, 7, 0, 7, 9, 5, 3, 1, 3, 6, 2, 5, 2, 7, 7, 0, 4, 8, 1, 6, 6, 6, 5, 0, 5, 7, 4, 0, 6, 0, 4, 8, 5, 8, 6, 6, 2, 5, 0, 6, 8, 8, 6, 3, 7, 6, 4, 8, 0, 1, 5, 4, 4, 5, 0, 8, 5, 4, 5, 2, 7, 4, 3, 1, 9, 7, 9, 5, 8, 8, 2, 3, 9, 1, 2, 3, 2, 6, 1, 6, 6, 0, 4, 0, 8, 2, 3, 3, 4, 6, 9, 7, 9, 4, 1, 1, 8, 3, 2, 8, 6, 0, 2, 3, 0, 9, 6, 1, 3, 5, 7, 5, 7, 9, 4, 8, 9, 8, 0, 7, 1, 0, 1, 4, 8, 7, 1, 9, 0, 4, 0, 8, 5, 8, 0, 7, 7, 0, 5, 9, 1, 2, 8, 1, 2, 5, 6, 7, 6, 8, 8, 2, 8, 5, 4, 5, 5, 2, 4, 0, 6, 0, 4, 4, 9, 8, 6, 5, 1, 0, 2, 2, 5, 9, 9, 7, 1, 2, 1, 3, 2, 2, 5, 9, 9, 9, 5, 0, 5, 0, 4, 0, 0, 3, 5, 3, 5, 5, 8, 7, 1, 8, 9, 9, 3, 7, 0, 8, 1, 9, 9, 3, 2, 9, 2, 7, 9, 7, 6, 8, 9, 8, 3, 5, 9, 6, 7, 0, 7, 9, 8, 4, 0, 6, 1, 4, 8, 4, 3, 5, 6, 9, 4, 2, 6, 4, 8, 7, 4, 1, 6, 8, 7, 4, 5, 0, 1, 3, 4, 7, 4, 2, 3, 0, 8, 4, 8, 7, 1, 5, 9, 0, 8, 0, 9, 6, 5, 8, 0, 2, 5, 0, 3, 1, 9, 0, 3, 2, 0, 3, 6, 3, 6, 7, 6, 6, 2, 5, 7, 4, 4, 9, 9, 1, 2, 7, 2, 5, 6, 1, 2, 3, 2, 3, 1, 4, 8, 0, 5, 6, 3, 8, 9, 9, 0, 2, 1, 6, 6, 0, 0, 1, 1, 6, 6, 7, 4, 5, 7, 5, 7, 8, 4, 5, 0, 5, 7, 7, 6, 0, 1, 1, 5, 9, 9, 4, 1, 8, 5, 0, 6, 9, 7, 5, 0, 7, 3, 9, 6, 5, 5, 9, 2, 3, 8, 0, 2, 0, 3, 0, 7, 9, 5, 8, 3, 1, 5, 9, 2, 6, 5, 9, 9, 3, 3, 5, 7, 7, 6, 7, 6, 4, 6, 0, 8, 5, 9, 5, 4, 5, 5, 2, 6, 9, 6, 8, 6, 3, 1, 2, 8, 7, 3, 0, 6, 2, 1, 5, 0, 3, 4, 5, 7, 0, 7, 0, 5, 6, 4, 0, 8, 0, 1, 6, 8, 5, 5, 5, 5, 3, 7, 0, 8, 5, 0, 1, 4, 4, 9, 8, 8, 7, 6, 2, 6, 0, 5, 4, 2, 4, 1, 4, 9, 3, 9, 8, 2, 9, 1, 9, 2, 2, 7, 4, 3, 3, 7, 1, 7, 0, 0, 0, 3, 8, 2, 5, 9, 9, 7, 3, 9, 6, 9, 1, 3, 8, 0, 5, 0, 7, 9, 6, 3, 7, 8, 2, 6, 3, 0, 1, 5, 8, 4, 3, 9, 3, 8, 0, 0, 5, 0, 6, 2, 6, 2, 9, 4, 3, 9, 0, 0, 3, 4, 7, 9, 7, 9, 8, 8, 1, 3, 0, 6, 8, 2, 8, 8, 8, 4, 6, 4, 2, 6, 6, 3, 8, 4, 1, 1, 4, 9, 8, 6, 8, 5, 3, 8, 2, 5, 7, 5, 2, 2, 7, 5, 4, 7, 2, 1, 1, 1, 8, 4, 5, 4, 8, 8, 0, 9, 8, 5, 5, 4, 7, 4, 1, 5, 3, 6, 1, 8, 3, 0, 6, 9, 5, 7, 9, 4, 8, 0, 4, 7, 9, 7, 5, 1, 9, 2, 2, 7, 2, 4, 5, 0, 5, 7, 2, 8, 4, 0, 2, 2, 8, 2, 3, 5, 2, 2, 2, 1, 8, 6, 3, 6, 2, 0, 6, 3, 7, 2, 0, 8, 6, 5, 2, 1, 9, 7, 3, 3, 7, 9, 3, 7, 8, 5, 8, 8, 3, 4, 2, 2, 7, 9, 4, 4, 7, 4, 1, 9, 2, 6, 8, 2, 5, 6, 0, 5, 6, 3, 0, 7, 9, 2, 6, 0, 8, 4, 4, 0, 2, 7, 9, 9, 3, 1, 5, 0, 2, 2, 8, 2, 9, 7, 1, 9, 6, 7, 0, 7, 4, 6, 8, 1, 9, 3, 1, 8, 4, 5, 0, 0, 5, 5, 7, 6, 9, 1, 7, 7, 3, 2, 0, 2, 4, 0, 9, 5, 5, 8, 2, 5, 0, 4, 1, 8, 2, 3, 4, 7, 0, 7, 7, 5, 1, 3, 9, 1, 9, 9, 8, 4, 2, 4, 7, 5, 1, 2, 9, 6, 9, 5, 9, 0, 0, 7, 2, 8, 3, 2, 9, 4, 8, 9, 3, 1, 7, 2, 4, 0, 3, 3, 7, 0, 7, 2, 7, 7, 0, 7, 5, 8, 1, 4, 5, 8, 6, 5, 1, 4, 4, 7, 0, 9, 9, 3, 8, 3, 8, 8, 7, 7, 6, 6, 6, 3, 5, 9, 2, 4, 3, 2, 9, 6, 7, 9, 3, 5, 2, 7, 5, 0, 2, 2, 4, 9, 7, 0, 0, 1, 3, 1, 3, 1, 6, 4, 2, 1, 3, 6, 1, 4, 5, 4, 7, 4, 2, 8, 3, 7, 7, 3, 9, 9, 4, 8, 2, 9, 4, 5, 6, 7, 8, 0, 1, 6, 5, 1, 1, 9, 5, 9, 6, 1, 5, 0, 0, 4, 6, 3, 3, 9, 1, 1, 6, 8, 0, 2, 9, 5, 7, 6, 8, 4, 6, 4, 8, 3, 5, 4, 9, 3, 7, 4, 4, 1, 9, 5, 9, 1, 0, 4, 0, 8, 8, 4, 1, 9, 7, 2, 5, 9, 1, 5, 0, 7, 4, 3, 6, 1, 8, 4, 9, 1, 2, 6, 7, 0, 7, 6, 8, 2, 6, 7, 5, 6, 9, 1, 1, 3, 8, 4, 4, 1, 1, 1, 0, 1, 1, 2, 3, 3, 2, 3, 1, 7, 5, 4, 4, 6, 8, 6, 3, 9, 7, 8, 9, 1, 5, 5, 9, 1, 7, 7, 9, 5, 8, 6, 8, 5, 3, 6, 1, 5, 2, 5, 3, 4, 2, 1, 3, 8, 1, 9, 8, 8, 5, 5, 9, 1, 4, 1, 7, 0, 3, 0, 0, 0, 5, 7, 2, 7, 0, 9, 6, 7, 4, 0, 6, 6, 3, 8, 3, 4, 7, 5, 6, 4, 2, 8, 4, 8, 9, 9, 9, 0, 5, 0, 6, 8, 1, 1, 9, 9, 9, 2, 3, 9, 6, 6, 0, 1, 9, 9, 3, 0, 5, 4, 6, 2, 9, 9, 4, 5, 7, 6, 5, 2, 2, 8, 0, 5, 1, 2, 6, 4, 9, 4, 6, 8, 6, 5, 9, 1, 4, 7, 8, 2, 6, 0, 3, 8, 9, 8, 4, 9, 5, 9, 8, 3, 3, 0, 2, 0, 6, 6, 8, 2, 5, 1, 2, 3, 7, 0, 0, 4, 2, 7, 1, 4, 7, 8, 0, 3, 9, 3, 0, 5, 7, 5, 5, 4, 7, 1, 0, 6, 6, 1, 1, 9, 6, 8, 1, 6, 3, 7, 1, 4, 8, 9, 7, 0, 7, 3, 3, 3, 1, 4, 2, 5, 3, 8, 2, 4, 7, 1, 1, 7, 3, 9, 4, 6, 3, 5, 9, 7, 4, 0, 9, 2, 0, 3, 5, 1, 2, 0, 4, 0, 2, 7, 8, 0, 5, 3, 7, 4, 6, 9, 5, 9, 3, 0, 8, 3, 9, 7, 4, 6, 5, 8, 3, 3, 3, 9, 9, 9, 8, 7, 2, 4, 3, 4, 7, 7, 8, 4, 3, 8, 6, 5, 4, 0, 0, 0, 5, 1, 5, 3, 1, 1, 1, 2, 1, 6, 3, 3, 9, 2, 3, 9, 6, 0, 7, 1, 3, 4, 7, 0, 4, 1, 8, 2, 5, 1, 9, 5, 9, 0, 3, 5, 4, 1, 2, 5, 2, 3, 4, 0, 7, 4, 6, 5, 7, 8, 1, 4, 3, 2, 2, 2, 4, 2, 9, 3, 8, 3, 9, 6, 5, 6, 6, 0, 3, 1, 7, 2, 5, 9, 1, 4, 8, 5, 1, 7, 6, 0, 4, 2, 0, 1, 1, 8, 6, 2, 7, 4, 9, 8, 6, 7, 4, 5, 6, 7, 0, 7, 2, 2, 5, 6, 6, 7, 2, 6, 1, 5, 7, 0, 8, 9, 2, 7, 8, 4, 2, 0, 1, 6, 2, 7, 8, 0, 1, 4, 8, 9, 5, 3, 8, 8, 7, 2, 5]\n",
            "shape of x_data :  (10000, 32, 32, 3)\n",
            "\n",
            "Keys of dictionary dict_keys([b'batch_label', b'labels', b'data', b'filenames'])\n",
            "b'training batch 3 of 5'\n",
            "labels :  [8, 5, 0, 6, 9, 2, 8, 3, 6, 2, 7, 4, 6, 9, 0, 0, 7, 3, 7, 2, 5, 6, 6, 0, 9, 6, 8, 6, 7, 2, 7, 5, 3, 3, 3, 0, 6, 5, 2, 0, 8, 8, 1, 5, 4, 0, 4, 1, 2, 4, 3, 2, 8, 5, 4, 2, 1, 1, 3, 5, 4, 2, 7, 7, 8, 2, 5, 3, 9, 9, 0, 6, 7, 2, 1, 5, 5, 2, 7, 1, 3, 8, 8, 5, 5, 4, 0, 5, 1, 8, 5, 3, 5, 6, 7, 9, 4, 0, 6, 7, 8, 5, 2, 4, 6, 0, 6, 1, 4, 7, 8, 3, 2, 6, 1, 6, 4, 3, 8, 1, 4, 3, 5, 4, 0, 2, 5, 0, 8, 9, 2, 3, 0, 4, 9, 6, 4, 4, 2, 3, 5, 6, 4, 3, 3, 2, 6, 4, 6, 2, 8, 3, 3, 3, 4, 1, 5, 4, 7, 3, 6, 8, 1, 3, 5, 9, 7, 9, 1, 0, 7, 5, 9, 4, 3, 7, 9, 6, 5, 7, 0, 9, 8, 2, 3, 5, 7, 9, 0, 2, 0, 7, 4, 6, 3, 1, 3, 1, 8, 1, 5, 5, 7, 3, 3, 0, 4, 5, 3, 8, 3, 9, 2, 9, 1, 3, 2, 0, 7, 8, 2, 8, 1, 7, 9, 6, 2, 8, 8, 9, 7, 9, 9, 0, 3, 7, 0, 8, 6, 8, 6, 9, 0, 4, 1, 1, 8, 7, 9, 7, 9, 7, 3, 4, 6, 3, 0, 0, 6, 8, 2, 3, 0, 6, 9, 0, 2, 0, 6, 3, 4, 3, 2, 1, 4, 0, 4, 5, 6, 5, 4, 3, 4, 2, 2, 2, 2, 0, 8, 3, 8, 7, 5, 6, 4, 0, 9, 6, 8, 7, 8, 3, 0, 4, 1, 9, 4, 1, 2, 7, 6, 1, 1, 1, 7, 5, 6, 2, 2, 0, 5, 4, 5, 2, 6, 4, 3, 1, 0, 3, 3, 1, 6, 6, 0, 3, 1, 3, 3, 3, 4, 4, 4, 4, 3, 3, 3, 7, 5, 0, 8, 1, 8, 1, 9, 0, 7, 7, 8, 8, 8, 5, 6, 4, 7, 5, 1, 3, 1, 7, 8, 3, 6, 4, 4, 8, 1, 6, 3, 0, 9, 1, 5, 0, 6, 9, 6, 5, 9, 7, 3, 1, 7, 0, 5, 8, 0, 3, 0, 7, 8, 3, 9, 2, 0, 8, 4, 4, 6, 4, 3, 4, 4, 3, 5, 5, 5, 7, 3, 8, 9, 5, 5, 7, 0, 3, 2, 9, 9, 7, 9, 3, 6, 7, 0, 4, 7, 6, 1, 4, 1, 9, 1, 7, 1, 5, 4, 3, 3, 0, 4, 5, 0, 1, 0, 8, 9, 2, 0, 8, 5, 8, 9, 1, 7, 3, 8, 8, 2, 3, 4, 0, 9, 0, 0, 1, 7, 5, 5, 8, 6, 9, 6, 5, 5, 4, 1, 6, 3, 7, 2, 8, 8, 5, 1, 5, 3, 1, 4, 7, 8, 6, 8, 6, 6, 3, 6, 3, 8, 8, 1, 4, 5, 1, 6, 4, 9, 9, 9, 9, 3, 4, 3, 0, 3, 3, 2, 6, 3, 3, 8, 3, 0, 2, 3, 6, 1, 0, 2, 0, 8, 6, 5, 4, 7, 2, 1, 2, 6, 1, 7, 2, 9, 4, 1, 0, 2, 1, 2, 9, 2, 6, 5, 2, 4, 7, 0, 7, 0, 3, 2, 3, 2, 4, 0, 4, 7, 3, 9, 2, 2, 7, 6, 3, 0, 4, 6, 9, 4, 2, 7, 3, 1, 3, 8, 1, 8, 6, 8, 9, 9, 3, 0, 5, 8, 1, 0, 7, 4, 6, 4, 0, 8, 9, 7, 5, 1, 8, 7, 1, 8, 2, 0, 6, 3, 3, 3, 5, 6, 4, 3, 3, 3, 2, 9, 9, 9, 1, 3, 3, 4, 6, 4, 1, 5, 2, 7, 5, 3, 1, 8, 2, 8, 9, 4, 4, 2, 9, 0, 4, 2, 1, 8, 6, 8, 9, 6, 1, 8, 5, 9, 2, 5, 2, 1, 9, 9, 8, 7, 9, 1, 7, 0, 9, 5, 3, 0, 6, 5, 6, 7, 3, 5, 9, 0, 2, 2, 9, 4, 7, 2, 7, 8, 2, 3, 8, 6, 7, 0, 0, 0, 8, 2, 9, 3, 5, 8, 6, 9, 8, 9, 3, 0, 0, 2, 1, 8, 8, 8, 9, 4, 1, 5, 5, 6, 9, 1, 2, 7, 8, 8, 7, 1, 0, 7, 1, 1, 5, 7, 8, 1, 0, 1, 1, 2, 6, 8, 7, 0, 0, 3, 1, 8, 0, 1, 9, 6, 6, 5, 4, 3, 6, 4, 7, 1, 6, 5, 1, 4, 2, 7, 1, 4, 1, 3, 4, 8, 9, 6, 6, 0, 7, 7, 2, 5, 0, 1, 2, 4, 9, 6, 5, 6, 6, 9, 2, 3, 5, 7, 5, 4, 1, 8, 0, 6, 4, 0, 0, 2, 7, 3, 6, 8, 4, 0, 9, 4, 9, 4, 1, 6, 0, 4, 4, 0, 1, 5, 5, 2, 2, 1, 8, 2, 1, 1, 2, 7, 6, 7, 3, 2, 9, 0, 6, 9, 9, 1, 1, 1, 2, 5, 5, 0, 8, 2, 1, 1, 8, 3, 9, 4, 4, 3, 8, 1, 8, 2, 3, 6, 7, 2, 6, 3, 7, 7, 6, 7, 6, 4, 8, 4, 0, 3, 7, 9, 1, 1, 1, 8, 5, 7, 9, 0, 7, 4, 5, 4, 1, 2, 8, 0, 1, 9, 8, 1, 9, 0, 3, 3, 6, 3, 6, 5, 4, 0, 9, 6, 6, 0, 3, 6, 1, 3, 1, 6, 6, 8, 1, 5, 5, 5, 2, 8, 9, 9, 6, 8, 9, 4, 8, 6, 1, 5, 3, 8, 9, 4, 2, 8, 2, 7, 3, 8, 3, 4, 3, 4, 4, 3, 0, 1, 7, 6, 0, 9, 6, 0, 6, 4, 7, 0, 6, 5, 0, 8, 0, 6, 4, 1, 7, 2, 5, 7, 6, 1, 9, 2, 0, 7, 8, 0, 7, 4, 1, 6, 8, 5, 7, 9, 5, 9, 5, 0, 8, 1, 3, 4, 3, 2, 6, 1, 4, 3, 0, 6, 7, 8, 1, 8, 5, 6, 2, 6, 4, 2, 5, 8, 6, 6, 2, 2, 4, 8, 0, 0, 9, 5, 6, 4, 3, 8, 7, 4, 3, 0, 3, 1, 2, 8, 5, 7, 5, 5, 2, 0, 9, 4, 9, 4, 7, 3, 0, 6, 1, 0, 5, 2, 5, 4, 6, 1, 4, 7, 7, 6, 3, 7, 0, 1, 5, 2, 6, 0, 9, 1, 0, 7, 6, 9, 2, 7, 7, 2, 3, 1, 0, 3, 7, 7, 7, 9, 8, 1, 7, 9, 2, 3, 4, 1, 0, 7, 9, 3, 8, 5, 6, 5, 5, 5, 9, 5, 2, 6, 9, 8, 2, 7, 1, 9, 2, 8, 1, 1, 0, 0, 2, 6, 3, 5, 1, 1, 1, 1, 1, 1, 6, 3, 8, 0, 9, 8, 4, 2, 2, 8, 8, 0, 2, 2, 8, 9, 4, 8, 4, 3, 8, 4, 6, 1, 5, 1, 1, 9, 6, 9, 7, 5, 4, 4, 2, 5, 4, 6, 3, 4, 0, 1, 4, 5, 1, 6, 4, 8, 9, 0, 2, 1, 3, 2, 9, 2, 7, 9, 9, 5, 1, 6, 0, 1, 9, 5, 9, 4, 2, 2, 7, 8, 0, 6, 4, 1, 0, 0, 5, 1, 5, 9, 9, 1, 3, 2, 8, 9, 0, 7, 1, 8, 2, 0, 8, 3, 4, 4, 8, 4, 7, 3, 8, 5, 0, 4, 5, 2, 8, 6, 5, 5, 8, 7, 7, 1, 5, 0, 9, 3, 0, 7, 3, 5, 5, 1, 4, 9, 1, 2, 2, 5, 3, 0, 9, 9, 9, 6, 1, 8, 8, 8, 0, 8, 3, 9, 7, 7, 4, 4, 0, 0, 4, 0, 1, 0, 6, 8, 6, 7, 3, 2, 7, 5, 8, 5, 2, 0, 4, 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1, 1, 7, 1, 4, 0, 0, 2, 2, 7, 2, 6, 1, 3, 6, 2, 4, 7, 9, 8, 0, 8, 9, 9, 4, 9, 9, 5, 6, 5, 5, 5, 9, 3, 8, 6, 1, 5, 2, 6, 0, 5, 9, 3, 6, 7, 8, 9, 4, 6, 2, 9, 8, 1, 4, 2, 7, 0, 6, 5, 8, 6, 9, 7, 1, 5, 4, 6, 8, 5, 4, 6, 4, 4, 5, 2, 4, 9, 7, 5, 8, 2, 7, 5, 1, 6, 1, 1, 7, 3, 5, 4, 8, 7, 4, 3, 6, 0, 2, 4, 3, 1, 9, 7, 5, 7, 3, 0, 0, 0, 4, 4, 2, 0, 3, 3, 0, 9, 8, 6, 0, 9, 0, 3, 1, 5, 0, 5, 4, 1, 9, 8, 6, 7, 7, 4, 6, 4, 5, 9, 8, 5, 0, 4, 5, 5, 6, 1, 4, 3, 4, 4, 2, 9, 5, 6, 6, 3, 2, 2, 6, 4, 2, 7, 2, 9, 2, 3, 6, 0, 1, 4, 8, 4, 2, 4, 4, 5, 8, 0, 2, 2, 4, 4, 0, 6, 6, 7, 1, 8, 6, 1, 1, 7, 1, 4, 5, 8, 0, 2, 4, 4, 5, 2, 0, 9, 9, 3, 6, 9, 5, 7, 5, 4, 8, 0, 4, 4, 8, 0, 1, 7, 3, 8, 2, 8, 3, 1, 2, 4, 9, 2, 8, 9, 0, 0, 6, 2, 3, 2, 4, 3, 2, 8, 0, 6, 9, 7, 9, 6, 7, 9, 9, 0, 4, 7, 7, 9, 1, 6, 2, 4, 2, 9, 1, 7, 1, 3, 3, 2, 9, 9, 5, 9, 2, 9, 2, 6, 4, 2, 5, 2, 7, 1, 6, 9, 4, 3, 6, 1, 3, 0, 6, 6, 8, 4, 4, 8, 9, 9, 8, 3, 3, 8, 9, 0, 4, 1, 6, 1, 3, 4, 4, 4, 6, 5, 7, 7, 1, 7, 0, 0, 8, 3, 1, 8, 4, 0, 0, 4, 6, 4, 1, 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2, 7, 0, 7, 8, 1, 4, 5, 6, 3, 1, 9, 6, 9, 7, 5, 0, 1, 4, 0, 9, 1, 8, 5, 1, 0, 9, 6, 8, 4, 0, 7, 8, 0, 1, 9, 3, 6, 5, 7, 1, 0, 2, 1, 3, 3, 7, 2, 6, 0, 3, 0, 0, 8, 1, 4, 4, 1, 6, 2, 7, 1, 9, 5, 7, 4, 3, 2, 0, 9, 1, 3, 6, 2, 3, 1, 6, 6, 5, 0, 1, 9, 8, 3, 0, 5, 5, 9, 4, 7, 4, 3, 4, 1, 3, 5, 0, 1, 7, 3, 4, 8, 1, 7, 6, 1, 5, 3, 0, 5, 5, 2, 1, 4, 1, 5, 4, 7, 7, 8, 7, 1, 6, 2, 2, 3, 1, 7, 2, 0, 2, 8, 2, 7, 7, 9, 9, 3, 1, 9, 2, 8, 0, 1, 8, 9, 5, 3, 7, 0, 8, 3, 6, 1, 0, 6, 0, 9, 3, 6, 5, 7, 4, 5, 1, 3, 7, 4, 7, 8, 8, 3, 7, 3, 2, 9, 4, 2, 3, 1, 2, 4, 9, 4, 7, 6, 4, 6, 5, 2, 4, 1, 2, 6, 0, 0, 8, 6, 7, 1, 7, 0, 4, 1, 6, 9, 3, 4, 1, 1, 6, 7, 1, 7, 7, 9, 4, 7, 7, 6, 8, 8, 7, 9, 0, 3, 1, 7, 0, 4, 3, 9, 0, 5, 5, 4, 1, 5, 6, 0, 2, 2, 4, 2, 4, 9, 8, 0, 4, 9, 7, 9, 6, 3, 2, 8, 7, 5, 3, 7, 1, 1, 4, 5, 1, 7, 4, 5, 6, 3, 6, 4, 7, 7, 6, 9, 4, 9, 7, 5, 7, 1, 8, 0, 1, 8, 0, 4, 0, 0, 1, 6, 1, 6, 4, 8, 1, 2, 5, 5, 8, 9, 5, 8, 1, 4, 4, 2, 1, 7, 5, 8, 7, 1, 1, 5, 0, 2, 0, 6, 9, 0, 5, 2, 3, 9, 8, 0, 3, 4, 1, 4, 3, 4, 9, 4, 0, 5, 6, 8, 8, 6, 1, 2, 7, 9, 3, 3, 8, 2, 4, 1, 5, 9, 4, 5, 5, 5, 5, 2, 1, 2, 4, 1, 2, 4, 5, 9, 1, 9, 0, 6, 3, 2, 9, 9, 0, 3, 1, 0, 7, 9, 7, 6, 3, 7, 6, 9, 4, 3, 6, 4, 9, 2, 6, 9, 0, 1, 6, 1, 8, 7, 5, 4, 4, 5, 9, 9, 7, 1, 1, 6, 8, 2, 7, 2, 0, 0, 0, 2, 5, 9, 9, 4, 0, 5, 2, 5, 8, 6, 4, 9, 6, 1, 8, 3, 1, 6, 2, 3, 8, 5, 2, 5, 0, 7, 5, 8, 6, 3, 1, 8, 8, 3, 5, 5, 5, 1, 5, 2, 0, 6, 7, 3, 9, 0, 8, 9, 2, 7, 6, 7, 0, 3, 2, 9, 5, 8, 6, 7, 4, 7, 6, 0, 7, 0, 4, 5, 3, 7, 1, 5, 1, 3, 4, 2, 7, 6, 6, 9, 5, 4, 7, 0, 3, 4, 6, 8, 6, 8, 6, 9, 7, 2, 7, 8, 4, 6, 7, 6, 6, 5, 6, 8, 5, 4, 5, 9, 0, 3, 9, 0, 5, 2, 2, 5, 7, 2, 4, 3, 7, 0, 1, 9, 7, 3, 1, 5, 1, 6, 9, 1, 5, 8, 1, 1, 6, 1, 6, 9, 9, 2, 8, 9, 0, 9, 5, 2, 1, 7, 3, 4, 3, 2, 0, 1, 9, 4, 8, 3, 2, 6, 7, 9, 2, 7, 0, 9, 9, 7, 3, 5, 4, 4, 7, 7, 1, 9, 3, 4, 0, 1, 8, 3, 6, 7, 4, 9, 3, 2, 2, 5, 4, 3, 1, 8, 4, 9, 5, 4, 9, 1, 6, 6, 3, 3, 6, 2, 5, 4, 4, 1, 5, 1, 2, 0, 4, 6, 1, 1, 9, 0, 1, 0, 2, 5, 6, 3, 5, 5, 1, 9, 0, 7, 7, 7, 1, 2, 8, 1, 6, 2, 2, 4, 2, 4, 0, 6, 5, 0, 4, 1, 9, 3, 4, 5, 5, 5, 2, 6, 2, 0, 4, 2, 6, 3, 7, 1, 6, 2, 9, 0, 4, 5, 6, 5, 2, 0, 8, 8, 9, 1, 2, 8, 1, 2, 6, 5, 6, 5, 1, 7, 4, 3, 3, 0, 3, 9, 9, 0, 3, 2, 8, 8, 2, 9, 7, 4, 3, 9, 9, 7, 0, 3, 5, 7, 5, 7, 6, 5, 0, 3, 5, 7, 8, 4, 5, 3, 6, 0, 2, 7, 5, 6, 3, 4, 5, 5, 0, 8, 4, 6, 5, 9, 2, 6, 0, 4, 4, 9, 5, 4, 5, 5, 5, 7, 6, 1, 8, 1, 7, 0, 4, 0, 8, 4, 2, 7, 3, 3, 9, 8, 6, 5, 9, 5, 1, 9, 8, 9, 1, 4, 3, 3, 2, 4, 1, 0, 3, 4, 0, 4, 4, 4, 1, 4, 8, 7, 2, 4, 1, 1, 6, 8, 3, 4, 1, 3, 7, 3, 2, 7, 6, 0, 1, 3, 6, 1, 1, 4, 3, 5, 0, 2, 0, 8, 4, 5, 7, 0, 2, 3, 7, 4, 3, 3, 1, 8, 8, 5, 1, 5, 9, 1, 1, 2, 9, 5, 5, 7, 5, 8, 2, 5, 1, 6, 6, 1, 2, 9, 3, 0, 0, 2, 7, 6, 5, 9, 2, 1, 8, 4, 1, 5, 2, 9, 3, 4, 1, 0, 7, 4, 9, 0, 9, 5, 2, 3, 4, 2, 7, 7, 1, 0, 8, 9, 5, 9, 5, 4, 4, 7, 1, 9, 9, 5, 1, 7, 0, 4, 7, 9, 7, 0, 8, 0, 7, 0, 8, 7, 0, 6, 1, 2, 8, 8, 0, 9, 9, 2, 2, 2, 7, 1, 1, 4, 8, 1, 3, 6, 2, 7, 5, 5, 2, 9, 8, 7, 5, 3, 8, 8, 6, 1, 1, 9, 9, 5, 4, 1, 3, 7, 0, 5, 9, 7, 2, 4, 0, 5, 9, 1, 5, 7, 0, 8, 6, 1, 5, 3, 3, 8, 6, 7, 9, 1, 6, 3, 6, 6, 2, 5, 3, 5, 6, 5, 9, 3, 9, 0, 3, 2, 5, 1, 4, 6, 3, 3, 3, 9, 8, 3, 7, 7, 7, 1, 5, 3, 5, 1, 4, 9, 7, 8, 3, 1, 8, 5, 5, 2, 4, 7, 7, 5, 3, 0, 5, 4, 2, 9, 1, 9, 4, 7, 2, 1, 3, 8, 4, 0, 9, 8, 8, 0, 2, 9, 0, 5, 7, 6, 7, 4, 1, 8, 1, 4, 4, 4, 9, 9, 3, 8, 2, 5, 8, 2, 6, 7, 3, 4, 3, 9, 4, 2, 1, 6, 2, 9, 0, 6, 9, 6, 3, 6, 4, 0, 4, 4, 4, 6, 0, 9, 6, 6, 6, 3, 5, 4, 9, 3, 9, 9, 9, 1, 0, 6, 1, 1, 9, 6, 7, 4, 2, 5, 4, 4, 9, 4, 5, 1, 8, 2, 6, 7, 4, 3, 0, 6, 9, 1, 5, 5, 1, 8, 9, 1, 2, 0, 4, 0, 3, 7, 2, 9, 7, 3, 0, 4, 2, 4, 6, 3, 7, 9, 9, 9, 8, 1, 4, 0, 0, 8, 1, 3, 7, 9, 2, 2, 9, 4, 4, 7, 9, 3, 1, 0, 0, 6, 4, 9, 6, 7, 7, 9, 2, 8, 3, 3, 4, 1, 5, 1, 7, 9, 7, 1, 9, 7, 1, 3, 6, 3, 6, 6, 4, 0, 2, 9, 9, 6, 9, 0, 1, 8, 9, 2, 1, 1, 0, 6, 9, 3, 7, 4, 9, 8, 4, 6, 5, 2, 0, 7, 0, 3, 9, 2, 4, 5, 1, 6, 4, 3, 5, 0, 9, 6, 3, 1, 8, 3, 1, 4, 5, 4, 5, 2, 1, 5, 7, 3, 0, 1, 5, 1, 4, 6, 0, 7, 6, 1, 6, 1, 0, 8, 1, 0, 1, 4, 6, 0, 6, 0, 6, 2, 2, 1, 2, 9, 5, 2, 5, 7, 9, 0, 1, 1, 6, 1, 7, 3, 1, 1, 8, 8, 1, 8, 7, 5, 3, 7, 3, 1, 7, 6, 8, 4, 1, 7, 6, 8, 9, 9, 0, 3, 0, 6, 8, 0, 5, 0, 8, 2, 1, 1, 0, 9, 7, 2, 9, 4, 2, 7, 9, 6, 5, 7, 6, 4, 8, 2, 0, 7, 4, 0, 4, 7, 7, 8, 6, 5, 2, 6, 4, 4, 0, 2, 0, 6, 5, 6, 9, 6, 5, 7, 6, 2, 5, 6, 5, 5, 1, 3, 4, 3, 5, 8, 0, 9, 5, 2, 4, 4, 7, 8, 6, 1, 1, 5, 0, 0, 8, 2, 7, 2, 9, 4, 4, 8, 5, 3, 2, 5, 6, 6, 8, 1, 1, 9, 5, 2, 6, 9, 6, 8, 9, 3, 9, 7, 3, 7, 0, 4, 8, 1, 2, 3, 5, 3, 5, 7, 5, 8, 6, 6, 9, 5, 3, 7, 9, 5, 3, 6, 4, 3, 0, 1, 2, 4, 9, 1, 5, 8, 8, 8, 3, 8, 0, 7, 5, 2, 3, 1, 7, 0, 3, 4, 8, 5, 0, 8, 1, 9, 4, 0, 3, 7, 8, 2, 3, 2, 9, 0, 6, 9, 5, 5, 8, 2, 1, 0, 9, 0, 6, 2, 0, 9, 3, 5, 1, 3, 8, 4, 7, 1, 4, 9, 8, 2, 2, 7, 7, 7, 1, 8, 6, 4, 0, 2, 0, 1, 0, 1, 1, 6, 2, 5, 6, 9, 1, 8, 5, 1, 8, 7, 5, 8, 6, 3, 5, 2, 8, 9, 5, 3, 6, 3, 2, 1, 6, 6, 9, 5, 1, 5, 0, 5, 9, 2, 4, 3, 8, 9, 7, 0, 7, 1, 9, 1, 7, 0, 2, 2, 0, 4, 8, 0, 8, 8, 9, 5, 9, 4, 0, 3, 5, 9, 4, 2, 2, 4, 7, 5, 1, 8, 7, 7, 0, 7, 7, 0, 5, 2, 7, 6, 9, 4, 5, 5, 4, 1, 0, 4, 2, 2, 3, 1, 6, 0, 9, 3, 7, 2, 7, 8, 7, 5, 2, 9, 7, 0, 3, 0, 7, 4, 2, 0, 5, 8, 3, 4, 7, 0, 0, 7, 9, 7, 4, 7, 9, 2, 8, 1, 8, 6, 2, 4, 6, 2, 2, 5, 3, 3, 7, 6, 7, 8, 8, 6, 3, 1, 8, 8, 6, 9, 4, 1, 9, 3, 7, 1, 0, 3, 2, 2, 8, 2, 1, 1, 5, 5, 2, 2, 1, 0, 7, 7, 6, 9, 8, 4, 0, 8, 8, 7, 2, 0, 2, 6, 0, 7, 8, 0, 6, 4, 4, 9, 7, 7, 2, 4, 1, 7, 8, 8, 0, 6, 9, 6, 6, 9, 0, 5, 4, 5, 5, 0, 5, 1, 8, 1, 8, 1, 8, 6, 3, 5, 4, 4, 0, 8, 5, 5, 9, 1, 7, 2, 3, 8, 8, 0, 9, 5, 8, 4, 8, 7, 6, 1, 1, 3, 1, 5, 5, 6, 6, 4, 7, 1, 6, 0, 5, 9, 1, 1, 1, 1, 3, 8, 2, 1, 2, 6, 5, 5, 5, 0, 9, 4, 1, 7, 7, 9, 8, 4, 1, 1, 4, 6, 5, 6, 3, 4, 5, 0, 6, 3, 7, 4, 5, 9, 0, 2, 6, 6, 3, 4, 8, 9, 4, 2, 0, 3, 0, 5, 5, 7, 0, 3, 4, 8, 0, 3, 3, 9, 8, 4, 2, 3, 7, 8, 1, 1, 1, 8, 6, 0, 0, 0, 8, 5, 0, 2, 7, 3, 0, 6, 5, 4, 7, 0, 1, 8, 5, 2, 6, 7, 7, 1, 2, 8, 7, 1, 2, 2, 1, 9, 7, 1, 2, 6, 7, 8, 7, 0, 9, 8, 2, 5, 4, 3, 9, 2, 9, 0, 8, 8, 8, 6, 1, 8, 8, 6, 3, 7, 9, 4, 0, 0, 2, 2, 0, 5, 5, 4, 2, 8, 3, 8, 1, 1, 8, 5, 9, 7, 6, 1, 3, 5, 7, 1, 8, 6, 1, 1, 8, 5, 5, 6, 9, 6, 1, 7, 6, 0, 9, 3, 0, 8, 3, 4, 8, 9, 1, 9, 2, 2, 9, 8, 9, 7, 6, 2, 5, 3, 7, 1]\n",
            "shape of x_data :  (10000, 32, 32, 3)\n",
            "\n",
            "Keys of dictionary dict_keys([b'batch_label', b'labels', b'data', b'filenames'])\n",
            "b'training batch 4 of 5'\n",
            "labels :  [0, 6, 0, 2, 7, 2, 1, 2, 4, 1, 5, 6, 6, 3, 1, 3, 5, 5, 8, 1, 4, 2, 3, 2, 1, 2, 8, 9, 5, 0, 7, 6, 7, 6, 8, 8, 7, 4, 9, 1, 2, 6, 5, 9, 4, 2, 5, 1, 0, 1, 1, 9, 0, 7, 5, 3, 9, 6, 3, 3, 3, 4, 1, 5, 9, 7, 7, 2, 9, 0, 2, 8, 5, 9, 6, 7, 8, 4, 0, 4, 9, 2, 7, 1, 0, 5, 1, 8, 1, 6, 5, 9, 7, 0, 4, 5, 2, 3, 5, 5, 6, 0, 2, 1, 1, 5, 8, 5, 2, 4, 2, 2, 5, 3, 0, 3, 0, 2, 9, 1, 1, 7, 3, 8, 5, 4, 5, 9, 6, 5, 6, 4, 4, 5, 5, 1, 1, 5, 6, 2, 5, 0, 8, 6, 2, 2, 6, 8, 8, 6, 7, 4, 0, 4, 1, 5, 4, 2, 0, 3, 0, 9, 5, 7, 8, 1, 1, 7, 8, 8, 3, 0, 0, 4, 7, 9, 6, 0, 9, 9, 9, 2, 1, 1, 7, 4, 3, 7, 5, 5, 7, 9, 3, 6, 9, 7, 5, 7, 1, 7, 0, 5, 6, 7, 3, 0, 4, 5, 1, 1, 8, 8, 6, 3, 2, 9, 7, 8, 1, 3, 9, 8, 6, 9, 2, 4, 4, 1, 4, 2, 4, 5, 2, 0, 1, 5, 1, 2, 1, 2, 0, 2, 4, 4, 1, 1, 2, 9, 5, 6, 4, 2, 8, 7, 2, 7, 4, 0, 2, 6, 5, 8, 8, 9, 7, 7, 3, 0, 4, 1, 3, 0, 0, 8, 7, 5, 9, 8, 7, 5, 0, 1, 4, 5, 6, 9, 2, 2, 3, 4, 5, 4, 6, 1, 8, 0, 7, 0, 7, 8, 4, 5, 6, 8, 0, 3, 4, 4, 5, 9, 5, 3, 2, 1, 1, 2, 1, 2, 3, 7, 8, 0, 8, 6, 0, 2, 4, 9, 8, 8, 7, 0, 3, 2, 6, 8, 6, 5, 3, 3, 7, 4, 5, 9, 1, 4, 3, 3, 7, 5, 6, 9, 2, 4, 4, 0, 5, 8, 4, 5, 9, 3, 1, 9, 9, 2, 8, 6, 7, 9, 5, 2, 5, 8, 1, 5, 0, 2, 0, 9, 8, 5, 7, 0, 4, 7, 3, 5, 8, 3, 6, 2, 9, 5, 6, 5, 2, 7, 8, 1, 0, 7, 2, 2, 9, 2, 8, 1, 0, 7, 7, 8, 9, 4, 4, 0, 9, 7, 1, 7, 9, 7, 7, 8, 3, 4, 0, 6, 0, 0, 7, 7, 3, 8, 7, 4, 4, 2, 8, 1, 0, 5, 4, 8, 8, 1, 1, 7, 8, 4, 4, 2, 3, 2, 2, 7, 5, 1, 1, 3, 8, 3, 9, 1, 4, 9, 2, 0, 4, 6, 2, 1, 8, 5, 4, 2, 3, 5, 2, 3, 2, 6, 5, 8, 7, 6, 1, 0, 8, 1, 3, 6, 1, 2, 6, 1, 6, 0, 7, 4, 5, 4, 5, 9, 8, 2, 5, 4, 8, 8, 8, 2, 6, 2, 8, 8, 1, 0, 4, 5, 0, 0, 4, 5, 2, 9, 6, 4, 4, 8, 1, 2, 2, 8, 1, 0, 6, 0, 7, 0, 5, 3, 2, 5, 8, 1, 9, 4, 7, 7, 8, 4, 7, 1, 5, 9, 7, 8, 9, 4, 1, 4, 7, 6, 0, 9, 9, 5, 7, 6, 1, 3, 2, 3, 3, 0, 6, 8, 9, 5, 9, 7, 1, 6, 2, 4, 3, 3, 6, 4, 5, 0, 7, 4, 6, 0, 2, 0, 9, 7, 4, 8, 2, 6, 0, 0, 3, 8, 6, 0, 6, 3, 2, 1, 4, 9, 4, 7, 5, 9, 9, 6, 5, 9, 3, 6, 6, 4, 2, 5, 4, 2, 2, 8, 3, 0, 0, 9, 4, 8, 8, 1, 5, 0, 6, 0, 1, 8, 9, 9, 1, 7, 0, 3, 2, 4, 9, 5, 9, 7, 8, 1, 5, 2, 8, 2, 6, 0, 3, 2, 7, 7, 2, 1, 4, 9, 1, 4, 9, 7, 2, 4, 6, 3, 5, 6, 8, 3, 2, 5, 2, 8, 9, 1, 2, 0, 1, 9, 5, 0, 2, 5, 9, 5, 3, 2, 6, 4, 3, 0, 0, 5, 1, 5, 1, 4, 1, 9, 5, 4, 7, 3, 9, 5, 6, 4, 2, 6, 9, 9, 0, 2, 5, 9, 4, 5, 9, 3, 1, 6, 2, 6, 5, 0, 0, 8, 2, 1, 6, 0, 1, 2, 1, 3, 3, 8, 3, 5, 9, 6, 7, 7, 8, 5, 9, 2, 5, 2, 1, 0, 8, 9, 3, 9, 3, 9, 9, 3, 2, 3, 9, 7, 1, 1, 3, 9, 2, 2, 8, 3, 4, 2, 1, 5, 4, 2, 9, 7, 6, 4, 6, 4, 4, 7, 1, 7, 3, 8, 8, 3, 1, 0, 6, 6, 1, 4, 6, 3, 2, 5, 0, 1, 4, 9, 7, 7, 4, 0, 6, 0, 0, 5, 4, 6, 2, 8, 2, 0, 3, 3, 1, 4, 6, 9, 8, 7, 8, 5, 3, 2, 9, 1, 7, 9, 8, 2, 1, 4, 2, 8, 8, 9, 3, 8, 6, 1, 3, 5, 3, 4, 4, 5, 8, 9, 2, 4, 7, 6, 2, 1, 3, 4, 8, 7, 4, 4, 3, 2, 0, 5, 7, 1, 4, 2, 2, 0, 3, 7, 9, 9, 4, 9, 1, 9, 0, 2, 6, 4, 6, 0, 6, 4, 1, 0, 0, 4, 8, 4, 6, 7, 6, 4, 6, 1, 0, 7, 8, 5, 7, 0, 0, 5, 9, 3, 9, 7, 9, 8, 6, 7, 2, 8, 4, 1, 6, 1, 9, 3, 8, 1, 4, 1, 5, 6, 9, 8, 7, 8, 4, 0, 3, 8, 4, 0, 3, 5, 9, 4, 0, 2, 4, 0, 7, 9, 2, 3, 6, 0, 5, 0, 2, 7, 6, 3, 7, 9, 3, 7, 2, 5, 8, 7, 1, 7, 5, 3, 7, 8, 9, 1, 0, 8, 2, 4, 0, 2, 4, 2, 9, 9, 9, 1, 9, 3, 9, 0, 3, 5, 8, 1, 2, 5, 3, 0, 7, 6, 2, 4, 5, 0, 4, 5, 8, 4, 7, 2, 7, 8, 5, 9, 2, 2, 6, 5, 5, 2, 1, 5, 0, 7, 3, 8, 8, 4, 2, 5, 9, 2, 2, 5, 4, 4, 5, 2, 5, 3, 8, 9, 9, 8, 8, 6, 1, 7, 2, 4, 8, 9, 3, 1, 6, 3, 7, 0, 4, 8, 0, 0, 4, 9, 2, 5, 4, 7, 3, 9, 9, 8, 0, 6, 1, 1, 1, 3, 8, 0, 9, 1, 6, 5, 1, 5, 6, 1, 9, 9, 5, 7, 6, 0, 5, 8, 1, 7, 4, 8, 1, 0, 6, 5, 2, 8, 5, 6, 3, 6, 3, 5, 1, 6, 6, 3, 6, 4, 0, 5, 3, 1, 3, 5, 3, 1, 1, 4, 7, 5, 7, 8, 1, 6, 4, 3, 9, 4, 0, 0, 1, 4, 8, 2, 8, 2, 7, 2, 9, 6, 9, 2, 3, 3, 5, 6, 8, 8, 8, 5, 9, 8, 8, 8, 5, 2, 7, 1, 3, 1, 8, 6, 3, 3, 5, 0, 8, 1, 3, 9, 7, 0, 1, 1, 9, 4, 7, 0, 0, 7, 9, 7, 5, 8, 8, 5, 5, 2, 7, 5, 5, 4, 6, 2, 2, 2, 6, 9, 5, 6, 7, 2, 6, 4, 5, 1, 3, 5, 8, 1, 0, 7, 5, 0, 8, 1, 9, 1, 3, 5, 4, 6, 8, 8, 3, 3, 7, 7, 5, 7, 8, 8, 1, 2, 6, 4, 2, 5, 1, 2, 7, 4, 8, 6, 2, 4, 1, 9, 0, 2, 0, 9, 1, 2, 4, 9, 5, 2, 2, 3, 9, 1, 9, 6, 1, 6, 5, 5, 7, 4, 4, 2, 2, 5, 4, 1, 6, 8, 8, 6, 7, 8, 2, 1, 7, 7, 1, 1, 9, 6, 7, 8, 8, 1, 5, 7, 8, 2, 6, 9, 7, 3, 1, 0, 8, 7, 6, 2, 3, 1, 3, 5, 1, 4, 7, 1, 1, 6, 8, 5, 6, 7, 0, 7, 7, 2, 8, 1, 7, 4, 3, 8, 7, 0, 8, 2, 8, 6, 2, 2, 5, 2, 9, 8, 3, 7, 6, 3, 6, 9, 8, 9, 9, 7, 8, 0, 8, 4, 2, 1, 6, 0, 6, 9, 3, 2, 3, 9, 3, 6, 3, 1, 6, 5, 2, 2, 0, 6, 3, 3, 6, 8, 2, 2, 2, 6, 9, 8, 8, 8, 8, 6, 2, 4, 6, 4, 7, 4, 4, 0, 7, 3, 2, 5, 3, 9, 5, 8, 7, 1, 4, 6, 6, 3, 0, 6, 7, 9, 2, 6, 8, 6, 9, 0, 3, 7, 8, 3, 4, 6, 6, 2, 7, 2, 4, 0, 7, 1, 5, 2, 4, 7, 2, 3, 8, 0, 7, 9, 4, 5, 2, 6, 0, 8, 9, 7, 2, 2, 5, 2, 2, 8, 8, 3, 6, 2, 1, 3, 7, 4, 0, 4, 6, 9, 1, 8, 1, 7, 4, 4, 5, 9, 7, 2, 7, 0, 1, 1, 9, 5, 8, 3, 7, 7, 8, 2, 2, 9, 1, 3, 4, 8, 9, 1, 9, 8, 3, 5, 3, 9, 2, 4, 5, 4, 2, 5, 1, 8, 7, 5, 0, 5, 6, 5, 3, 5, 2, 8, 6, 8, 9, 3, 5, 7, 6, 9, 2, 7, 5, 6, 8, 6, 5, 4, 6, 8, 5, 1, 3, 4, 0, 1, 4, 7, 8, 0, 5, 0, 8, 7, 8, 7, 6, 1, 0, 6, 3, 3, 1, 9, 3, 1, 8, 4, 3, 5, 4, 9, 2, 4, 6, 8, 9, 1, 5, 2, 6, 2, 7, 8, 3, 4, 8, 6, 9, 5, 3, 3, 1, 0, 2, 9, 9, 6, 8, 5, 4, 9, 8, 1, 5, 5, 0, 3, 5, 6, 8, 7, 0, 1, 6, 1, 0, 7, 6, 8, 9, 8, 9, 1, 4, 5, 4, 1, 8, 7, 6, 5, 0, 8, 3, 2, 0, 4, 8, 6, 6, 4, 2, 6, 9, 2, 5, 4, 9, 2, 8, 0, 1, 8, 5, 8, 3, 4, 0, 4, 4, 1, 2, 2, 6, 2, 5, 4, 5, 1, 3, 9, 8, 0, 5, 8, 7, 7, 1, 2, 9, 7, 1, 8, 0, 6, 0, 5, 8, 3, 8, 4, 6, 4, 7, 1, 7, 7, 3, 2, 9, 2, 9, 8, 7, 1, 6, 1, 4, 4, 6, 6, 3, 4, 0, 0, 9, 2, 9, 1, 8, 8, 7, 1, 2, 4, 9, 4, 2, 9, 9, 2, 9, 4, 1, 7, 8, 7, 6, 5, 5, 1, 6, 2, 1, 8, 3, 7, 9, 5, 6, 5, 6, 8, 4, 3, 6, 4, 7, 5, 2, 2, 4, 9, 6, 7, 6, 2, 8, 9, 6, 2, 8, 9, 8, 5, 7, 0, 6, 2, 7, 2, 9, 3, 6, 9, 7, 9, 1, 1, 8, 5, 6, 6, 5, 0, 9, 7, 4, 8, 6, 4, 3, 9, 8, 7, 4, 4, 2, 7, 6, 8, 1, 0, 5, 6, 6, 6, 4, 3, 9, 0, 5, 0, 4, 5, 3, 9, 9, 7, 8, 7, 2, 5, 7, 5, 9, 8, 0, 9, 2, 5, 2, 9, 3, 2, 0, 6, 1, 6, 5, 4, 6, 6, 0, 2, 4, 1, 3, 5, 4, 8, 0, 9, 6, 3, 3, 9, 3, 9, 3, 3, 7, 8, 4, 8, 9, 8, 9, 7, 5, 3, 7, 1, 2, 0, 6, 8, 8, 6, 4, 6, 3, 1, 3, 9, 8, 4, 3, 2, 6, 6, 7, 1, 8, 0, 6, 5, 8, 1, 7, 4, 4, 0, 9, 1, 7, 1, 5, 0, 9, 6, 6, 7, 8, 7, 8, 1, 0, 9, 6, 5, 3, 3, 0, 5, 3, 2, 7, 8, 7, 9, 6, 1, 9, 0, 1, 9, 7, 0, 7, 4, 5, 5, 8, 2, 4, 2, 7, 5, 0, 1, 7, 4, 3, 4, 9, 0, 6, 1, 5, 2, 8, 5, 0, 4, 4, 8, 7, 3, 0, 8, 4, 0, 4, 6, 2, 4, 2, 5, 7, 0, 8, 6, 2, 8, 8, 9, 9, 9, 1, 3, 5, 2, 3, 2, 5, 2, 4, 8, 3, 7, 3, 5, 0, 2, 0, 2, 6, 7, 0, 6, 9, 9, 4, 2, 7, 4, 0, 2, 9, 7, 6, 3, 0, 8, 0, 5, 6, 0, 6, 1, 9, 3, 8, 1, 4, 8, 0, 0, 8, 5, 4, 4, 9, 7, 3, 1, 4, 2, 9, 2, 9, 6, 2, 0, 3, 0, 9, 8, 9, 3, 8, 9, 7, 4, 5, 4, 4, 1, 5, 9, 5, 6, 6, 2, 3, 9, 4, 0, 8, 9, 3, 1, 2, 5, 8, 3, 0, 2, 3, 3, 0, 3, 9, 1, 7, 0, 7, 2, 7, 2, 7, 3, 9, 7, 9, 1, 3, 1, 7, 9, 9, 8, 2, 2, 1, 4, 6, 8, 3, 0, 6, 9, 9, 7, 8, 4, 3, 2, 8, 8, 5, 7, 4, 7, 0, 1, 0, 6, 9, 6, 0, 5, 5, 6, 6, 5, 8, 4, 1, 8, 0, 8, 0, 8, 7, 9, 1, 7, 6, 8, 4, 3, 5, 0, 0, 3, 0, 9, 3, 9, 4, 4, 1, 5, 6, 4, 3, 5, 0, 0, 8, 1, 7, 6, 5, 7, 6, 7, 9, 8, 4, 9, 8, 0, 6, 9, 3, 0, 1, 4, 9, 5, 0, 2, 1, 8, 4, 3, 1, 0, 3, 8, 9, 0, 4, 7, 4, 8, 5, 9, 2, 8, 4, 5, 2, 8, 4, 8, 7, 0, 4, 4, 7, 7, 4, 2, 0, 2, 9, 3, 1, 1, 7, 3, 7, 2, 4, 9, 4, 4, 3, 1, 8, 7, 2, 0, 2, 1, 3, 8, 6, 4, 0, 7, 0, 1, 3, 2, 8, 8, 5, 3, 0, 8, 2, 7, 2, 8, 2, 5, 6, 7, 5, 9, 6, 6, 6, 0, 5, 7, 6, 6, 0, 7, 1, 8, 3, 8, 5, 2, 7, 9, 8, 8, 3, 6, 8, 2, 6, 0, 5, 0, 1, 1, 4, 0, 8, 3, 3, 4, 7, 2, 0, 2, 0, 3, 9, 6, 7, 7, 4, 6, 5, 2, 4, 3, 6, 4, 3, 5, 8, 7, 6, 6, 0, 7, 3, 0, 1, 0, 3, 3, 2, 9, 7, 2, 1, 0, 6, 4, 7, 4, 3, 7, 1, 2, 2, 8, 6, 3, 8, 5, 8, 5, 7, 8, 2, 5, 0, 7, 6, 6, 0, 2, 1, 9, 7, 8, 9, 3, 0, 4, 4, 8, 8, 3, 4, 3, 5, 1, 6, 0, 2, 2, 1, 4, 0, 8, 1, 8, 8, 8, 9, 2, 5, 7, 2, 0, 1, 9, 1, 8, 9, 2, 4, 0, 2, 5, 2, 0, 0, 7, 1, 7, 1, 9, 7, 4, 1, 6, 4, 9, 4, 6, 7, 2, 6, 8, 1, 7, 3, 0, 8, 7, 0, 3, 3, 5, 8, 2, 7, 6, 5, 3, 4, 4, 3, 6, 0, 4, 3, 4, 2, 3, 7, 5, 5, 7, 8, 4, 6, 4, 6, 6, 0, 4, 8, 3, 4, 8, 2, 7, 7, 8, 5, 9, 9, 8, 9, 4, 5, 3, 5, 3, 3, 5, 8, 7, 8, 9, 1, 6, 5, 8, 7, 6, 2, 4, 6, 0, 8, 9, 5, 8, 8, 7, 1, 6, 2, 3, 1, 4, 7, 2, 9, 9, 4, 9, 0, 4, 7, 9, 3, 7, 5, 6, 9, 1, 0, 1, 2, 9, 6, 3, 4, 8, 7, 8, 9, 0, 3, 4, 6, 0, 8, 8, 4, 3, 8, 1, 1, 5, 0, 0, 6, 0, 3, 0, 7, 7, 4, 9, 5, 6, 7, 2, 7, 5, 2, 4, 8, 4, 7, 1, 6, 3, 4, 8, 1, 9, 4, 4, 5, 4, 5, 0, 7, 0, 0, 8, 9, 1, 9, 5, 7, 0, 0, 8, 3, 7, 6, 6, 8, 5, 2, 1, 4, 1, 3, 0, 1, 3, 3, 2, 7, 6, 6, 8, 4, 2, 6, 3, 7, 2, 8, 6, 7, 9, 3, 0, 7, 2, 2, 6, 0, 6, 6, 2, 9, 0, 8, 3, 8, 9, 0, 5, 1, 0, 4, 2, 9, 3, 8, 8, 8, 9, 2, 4, 3, 7, 0, 9, 1, 1, 8, 6, 7, 2, 9, 1, 0, 9, 6, 5, 8, 1, 7, 5, 6, 5, 4, 9, 4, 4, 5, 6, 8, 0, 6, 2, 5, 8, 9, 8, 6, 5, 5, 1, 6, 5, 3, 0, 4, 8, 9, 7, 5, 6, 5, 8, 4, 5, 4, 1, 5, 4, 0, 2, 2, 6, 3, 5, 5, 4, 5, 4, 8, 5, 6, 4, 5, 5, 1, 2, 3, 2, 9, 1, 6, 3, 8, 7, 2, 5, 4, 8, 9, 5, 4, 8, 5, 3, 3, 1, 6, 2, 0, 0, 8, 5, 8, 5, 8, 1, 9, 0, 8, 9, 4, 3, 3, 5, 3, 1, 9, 5, 2, 9, 8, 6, 4, 6, 6, 0, 2, 6, 1, 8, 5, 5, 5, 8, 6, 4, 6, 6, 0, 6, 8, 0, 0, 7, 8, 5, 9, 9, 6, 3, 4, 1, 0, 0, 1, 8, 7, 5, 4, 5, 4, 4, 6, 5, 8, 8, 7, 2, 5, 4, 9, 0, 6, 0, 5, 6, 2, 4, 5, 7, 5, 1, 3, 8, 2, 3, 6, 5, 7, 9, 6, 3, 5, 9, 5, 8, 4, 4, 4, 0, 7, 8, 0, 5, 3, 1, 3, 3, 9, 1, 5, 2, 5, 9, 5, 4, 7, 6, 5, 2, 9, 6, 0, 8, 2, 5, 6, 1, 4, 4, 9, 3, 9, 9, 6, 0, 0, 4, 6, 0, 2, 7, 8, 6, 5, 8, 5, 1, 3, 2, 3, 1, 9, 6, 3, 8, 1, 4, 0, 2, 7, 6, 1, 7, 2, 4, 3, 5, 0, 5, 4, 0, 4, 8, 5, 3, 3, 7, 9, 0, 6, 4, 8, 4, 4, 5, 6, 7, 4, 2, 8, 2, 9, 9, 7, 4, 9, 8, 2, 3, 2, 3, 1, 5, 7, 4, 4, 5, 7, 3, 2, 3, 6, 7, 7, 2, 7, 3, 1, 2, 0, 9, 2, 8, 5, 4, 0, 1, 6, 8, 0, 1, 5, 6, 4, 5, 4, 6, 4, 7, 8, 4, 7, 9, 0, 9, 8, 5, 4, 2, 7, 2, 2, 1, 6, 0, 9, 9, 2, 6, 3, 8, 4, 4, 7, 1, 3, 4, 3, 3, 7, 2, 8, 1, 7, 2, 2, 8, 9, 8, 1, 3, 1, 4, 5, 0, 1, 8, 7, 2, 1, 6, 8, 5, 1, 0, 0, 4, 0, 3, 3, 3, 2, 2, 5, 2, 5, 7, 4, 6, 5, 8, 9, 8, 0, 9, 0, 9, 7, 7, 2, 0, 5, 7, 8, 9, 8, 3, 0, 5, 0, 5, 1, 8, 5, 4, 3, 3, 2, 4, 5, 6, 7, 2, 7, 3, 6, 0, 4, 1, 9, 2, 8, 4, 0, 4, 1, 7, 8, 7, 6, 5, 1, 8, 1, 4, 1, 5, 9, 6, 0, 7, 2, 2, 1, 1, 9, 4, 3, 3, 6, 6, 0, 4, 6, 1, 2, 9, 7, 4, 4, 4, 9, 8, 4, 8, 1, 0, 1, 8, 4, 2, 2, 0, 3, 1, 3, 4, 8, 1, 0, 0, 6, 4, 5, 6, 9, 0, 1, 6, 1, 4, 7, 0, 6, 1, 0, 5, 6, 1, 3, 2, 8, 7, 4, 3, 0, 5, 2, 1, 4, 4, 6, 3, 2, 2, 6, 4, 3, 9, 2, 5, 9, 1, 2, 8, 4, 5, 4, 2, 1, 2, 5, 5, 4, 5, 6, 7, 2, 3, 4, 2, 5, 1, 5, 1, 7, 6, 2, 5, 4, 5, 1, 0, 9, 8, 3, 5, 5, 1, 8, 2, 7, 0, 9, 1, 0, 3, 7, 5, 6, 5, 4, 8, 0, 3, 5, 0, 7, 7, 4, 7, 9, 3, 3, 0, 7, 7, 2, 1, 4, 3, 5, 3, 8, 4, 3, 4, 0, 2, 9, 0, 6, 4, 6, 6, 0, 4, 4, 3, 8, 4, 7, 3, 9, 2, 4, 2, 0, 6, 7, 4, 8, 8, 0, 3, 7, 7, 1, 9, 1, 3, 5, 2, 2, 7, 8, 1, 6, 4, 6, 2, 9, 6, 8, 8, 4, 3, 8, 6, 2, 9, 0, 1, 0, 9, 8, 0, 6, 0, 3, 5, 5, 6, 1, 3, 3, 5, 5, 9, 9, 9, 4, 5, 6, 9, 0, 7, 1, 8, 2, 3, 9, 2, 8, 0, 2, 2, 7, 0, 1, 0, 5, 5, 8, 2, 4, 8, 9, 0, 2, 3, 5, 4, 6, 5, 6, 7, 6, 0, 9, 4, 2, 7, 5, 5, 0, 4, 4, 2, 4, 9, 3, 7, 9, 9, 6, 0, 2, 6, 6, 2, 5, 7, 7, 6, 2, 4, 8, 4, 0, 2, 5, 1, 6, 4, 2, 0, 0, 3, 4, 2, 0, 4, 0, 6, 2, 2, 9, 8, 7, 4, 7, 3, 3, 7, 6, 4, 0, 2, 1, 8, 5, 2, 6, 8, 9, 1, 1, 6, 0, 6, 2, 1, 3, 9, 6, 8, 2, 6, 5, 7, 8, 5, 7, 6, 0, 7, 3, 1, 8, 9, 2, 6, 6, 5, 9, 1, 8, 8, 0, 0, 4, 2, 5, 8, 5, 5, 2, 4, 3, 7, 0, 7, 4, 2, 9, 0, 4, 7, 7, 9, 6, 6, 0, 4, 1, 1, 3, 3, 2, 0, 6, 7, 5, 3, 6, 5, 4, 1, 3, 8, 4, 1, 2, 0, 7, 6, 9, 2, 5, 6, 1, 1, 8, 6, 5, 5, 6, 5, 2, 3, 5, 3, 7, 9, 0, 9, 1, 8, 3, 1, 2, 5, 1, 0, 7, 2, 1, 8, 7, 3, 0, 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0, 7, 5, 4, 8, 1, 2, 8, 6, 9, 8, 1, 4, 6, 3, 0, 0, 2, 8, 0, 5, 9, 3, 2, 8, 8, 0, 0, 3, 5, 4, 4, 2, 9, 9, 4, 6, 5, 2, 0, 9, 7, 6, 9, 1, 0, 2, 1, 2, 4, 8, 9, 0, 1, 2, 0, 3, 0, 7, 0, 0, 8, 2, 1, 3, 2, 6, 0, 0, 0, 2, 2, 9, 7, 2, 5, 2, 6, 7, 2, 1, 8, 3, 7, 3, 6, 4, 9, 2, 7, 5, 1, 4, 4, 1, 5, 2, 8, 9, 0, 1, 3, 1, 3, 6, 8, 4, 0, 4, 3, 7, 3, 2, 3, 0, 5, 3, 4, 2, 4, 7, 8, 5, 8, 5, 7, 7, 8, 0, 7, 5, 4, 9, 9, 5, 4, 8, 7, 6, 4, 4, 6, 3, 3, 7, 2, 0, 7, 9, 8, 4, 4, 8, 6, 8, 9, 5, 6, 7, 7, 5, 7, 4, 3, 6, 3, 2, 6, 1, 9, 0, 7, 6, 1, 8, 9, 5, 4, 8, 7, 8, 5, 6, 1, 9, 6, 2, 3, 5, 4, 1, 1, 7, 1, 7, 0, 7, 6, 2, 1, 8, 0, 2, 0, 4, 6, 0, 9, 1, 3, 7, 7, 7, 6, 0, 5, 3, 7, 5, 7, 1, 0, 8, 1, 0, 3, 5, 1, 7, 4, 8, 3, 2, 0, 8, 2, 7, 8, 0, 1, 0, 7, 9, 6, 4, 3, 6, 1, 7, 0, 2, 0, 7, 8, 0, 8, 5, 5, 4, 7, 2, 5, 3, 4, 4, 7, 6, 6, 7, 5, 0, 8, 7, 1, 5, 4, 1, 1, 1, 4, 8, 7, 1, 9, 6, 4, 1, 1, 5, 9, 8, 3, 8, 9, 1, 7, 9, 4, 1, 4, 7, 0, 7, 2, 8, 0, 6, 2, 3, 4, 4, 5, 4, 6, 6, 0, 9, 8, 5, 5, 3, 5, 5, 0, 7, 6, 6, 2, 0, 5, 9, 8, 4, 3, 6, 3, 0, 0, 8, 8, 9, 7, 0, 1, 9, 2, 1, 9, 8, 1, 0, 0, 6, 6, 3, 8, 0, 0, 0, 5, 0, 0, 5, 1, 8, 2, 4, 4, 2, 4, 4, 6, 7, 9, 7, 5, 3, 5, 8, 9, 3, 2, 5, 7, 0, 5, 9, 8, 6, 5, 8, 4, 4, 3, 9, 9, 9, 8, 8, 3, 8, 5, 4, 0, 7, 2, 3, 6, 5, 9, 7, 4, 6, 6, 2, 2, 3, 6, 9, 5, 4, 9, 9, 2, 8, 6, 0, 5, 8, 8, 9, 7, 8, 5, 4, 0, 1, 8, 7, 3, 5, 7, 9, 5, 6, 3, 9, 0, 3, 0, 2, 7, 8, 5, 6, 2, 7, 8, 3, 8, 3, 3, 1, 5, 1, 3, 6, 2, 1, 8, 4, 4, 2, 2, 8, 2, 8, 6, 6, 1, 1, 4, 0, 8, 7, 8, 6, 5, 3, 9, 7, 6, 2, 8, 0, 0, 2, 9, 1, 9, 1, 3, 7, 1, 2, 5, 6, 1, 4, 1, 9, 8, 4, 4, 5, 0, 7, 9, 2, 5, 3, 7, 8, 5, 6, 2, 7, 4, 7, 5, 1, 1, 9, 4, 0, 0, 2, 3, 1, 8, 8, 8, 4, 6, 7, 5, 9, 2, 9, 0, 6, 2, 0, 6, 7, 7, 8, 9, 1, 4, 8, 0, 2, 0, 6, 1, 7, 0, 3, 7, 8, 5, 2, 3, 2, 6, 2, 9, 1, 2, 5, 2, 0, 8, 6, 9, 5, 1, 6, 2, 0, 7, 0, 1, 4, 1, 0, 0, 5, 6, 4, 9, 0, 8, 6, 8, 1, 0, 2, 4, 2, 7, 1, 7, 4, 8, 5, 9, 9, 4, 7, 2, 6, 8, 8, 3, 1, 7, 6, 0, 3, 7, 7, 0, 0, 8, 3, 9, 2, 2, 5, 8, 3, 5, 0, 5, 1, 8, 5, 0, 3, 0, 5, 1, 2, 0, 4, 6, 1, 1, 9, 8, 1, 3, 3, 3, 1, 9, 3, 7, 3, 2, 0, 5, 1, 6, 4, 4, 6, 9, 2, 6, 8, 7, 4, 9, 0, 6, 5, 3, 6, 0, 2, 6, 7, 3, 5, 0, 1, 0, 3, 4, 8, 9, 7, 8, 6, 1, 5, 7, 8, 5, 5, 3, 6, 3, 8, 4, 3, 7, 2, 2, 3, 6, 4, 5, 1, 0, 4, 7, 4, 8, 0, 5, 0, 1, 4, 6, 2, 6, 8, 1, 8, 8, 4, 7, 4, 2, 7, 8, 8, 1, 6, 7, 6, 5, 9, 2, 9, 8, 1, 2, 2, 6, 0, 7, 2, 6, 9, 0, 8, 4, 1, 6, 5, 9, 7, 3, 4, 6, 3, 2, 2, 7, 9, 6, 0, 6, 0, 6, 4, 5, 4, 9, 9, 8, 7, 3, 0, 0, 5, 1, 6, 4, 5, 9, 5, 0, 5, 9, 4, 1, 0, 8, 7, 1, 8, 2, 4, 7, 1, 4, 2, 5, 8, 8, 4, 3, 1, 2, 7, 8, 1, 8, 1, 5, 9, 4, 1, 0, 4, 3, 7, 9, 0, 3, 2, 6, 8, 7, 6, 8, 9, 7, 1, 5, 5, 1, 1, 6, 6, 6, 5, 0, 9, 0, 8, 5, 4, 6, 5, 0, 6, 8, 1, 5, 5, 2, 8, 9, 6, 6, 6, 8, 9, 4, 8, 9, 1, 9, 5, 7, 4, 4, 1, 3, 3, 8, 5, 2, 7, 0, 5, 3, 5, 2, 7, 3, 1, 6, 3, 4, 5, 3, 0, 8, 0, 8, 1, 3, 8, 2, 4, 2, 1, 4, 4, 1, 3, 0, 8, 7, 9, 6, 7, 1, 7, 0, 6, 4, 5, 8, 9, 8, 9, 1, 4, 3, 3, 9, 7, 1, 6, 0, 7, 2, 4, 4, 3, 0, 5, 3, 1, 7, 0, 8, 1, 3, 8, 4, 5, 7, 3, 6, 1, 6, 3, 9, 7, 0, 4, 7, 5, 4, 6, 8, 0, 2, 4, 6, 1, 5, 3, 0, 8, 4, 0, 2, 3, 4, 3, 9, 9, 8, 5, 2, 5, 2, 3, 6, 3, 4, 2, 5, 9, 3, 6, 2, 5, 4, 5, 4, 0, 6, 2, 4, 6, 8, 0, 3, 9, 8, 9, 7, 5, 2, 6, 3, 8, 1, 3, 9, 0, 0, 6, 5, 7, 6, 8, 3, 6, 8, 4, 0, 8, 1, 1, 9, 5, 9, 0, 3, 6, 4, 9, 0, 9, 2, 6, 7, 6, 2, 0, 6, 1, 0, 2, 4, 2, 9, 7, 9, 5, 4, 6, 8, 5, 3, 8, 3, 3, 8, 0, 7, 7, 8, 0, 7, 2, 0, 9, 7, 6, 6, 7, 8, 5, 6, 5, 9, 8, 3, 2, 1, 8, 9, 3, 3, 1, 5, 0, 4, 8, 7, 3, 1, 2, 7, 2, 0, 8, 9, 5, 9, 1, 8, 6, 0, 6, 5, 5, 4, 4, 4, 2, 3, 3, 5, 1, 6, 6, 3, 7, 9, 0, 8, 3, 1, 8, 4, 7, 2, 4, 5, 6, 0, 3, 3, 3, 0, 8, 7, 9, 5, 3, 6, 5, 6, 4, 3, 7, 3, 3, 5, 7, 4, 0, 3, 7, 4, 9, 3, 5, 4, 2, 0, 7, 7, 4, 9, 8, 2, 4, 3, 6, 6, 6, 8, 1, 8, 3, 1, 0, 6, 8, 9, 6, 0, 4, 6, 1, 6, 6, 8, 1, 4, 8, 3, 9, 0, 5, 7, 5, 4, 1, 7, 3, 4, 2, 0, 6, 5, 6, 6, 5, 5, 0, 7, 8, 2, 1, 3, 0, 2, 9, 8, 1, 0, 2, 8, 4, 0, 7, 7, 2, 4, 1, 7, 6, 8, 8, 7, 1, 7, 6, 7, 0, 7, 7, 8, 9, 4, 7, 8, 1, 2, 7, 0, 3, 2, 9, 1, 7, 1, 8, 1, 9, 0, 5, 8, 4, 5, 0, 3, 0, 3, 4, 1, 4, 4, 3, 6, 4, 7, 8, 8, 3, 0, 4, 7, 7, 6, 7, 7, 2, 2, 2, 0, 2, 3, 7, 6, 5, 8, 5, 9, 9, 3, 1, 6, 2, 3, 6, 9, 7, 0, 9, 9, 5, 1, 8, 8, 8, 6, 1, 2, 1, 3, 8, 6, 4, 7, 5, 5, 4, 1, 8, 7, 1, 1, 7, 3, 4, 6, 8, 9, 2, 9, 8, 1, 8, 8, 3, 8, 2, 4, 6, 9, 0, 1, 3, 3, 9, 4, 7, 0, 0, 5, 2, 8, 3, 8, 0, 1, 4, 2, 2, 1, 0, 8, 5, 7, 0, 0, 3, 3, 7, 6, 1, 5, 1, 1, 7, 2, 7, 0, 3, 5, 2, 4, 5, 6, 4, 6, 9, 8, 3, 7, 1, 3, 8, 7, 2, 9, 3, 7, 4, 0, 7, 8, 9, 0, 2, 1, 3, 4, 9, 5, 8, 7, 8, 5, 5, 0, 8, 9, 9, 4, 6, 9, 8, 1, 5, 6, 5, 4, 8, 3, 8, 5, 6, 7, 2, 4, 8, 6, 4, 0, 7, 4, 1, 5, 1, 0, 2, 5, 0, 4, 3, 6, 1, 7, 0, 5, 4, 1, 1, 4, 2, 9, 7, 4, 3, 5, 7, 2, 3, 4, 8, 7, 0, 4, 3, 8, 2, 4, 9, 6, 6, 7, 2, 2, 6, 9, 7, 0, 2, 0, 9, 6, 1, 5, 3, 6, 2, 7, 0, 0, 1, 3, 8, 2, 7, 6, 5, 5, 2, 4, 6, 3, 6, 8, 9, 7, 9, 1, 2, 5, 3, 0, 3, 6, 9, 9, 5, 6, 1, 4, 6, 8, 9, 4, 1, 9, 6, 5, 9, 8, 9, 4, 0, 3, 4, 8, 8, 8, 2, 9, 7, 9, 0, 9, 9, 5, 4, 0, 8, 5, 8, 8, 2, 7, 4, 9, 8, 3, 9, 0, 5, 5, 3, 8, 0, 4, 3, 3, 2, 9, 8, 8, 3, 4, 3, 6, 4, 0, 9, 8, 1, 9, 5, 9, 4, 8, 0, 7, 6, 0, 2, 7, 3, 9, 6, 6, 1, 6, 3, 3, 5, 6, 3, 5, 2, 5, 2, 5, 0, 3, 1, 8, 1, 2, 4, 6, 8, 3, 5, 2, 5, 5, 0, 3, 0, 7, 1, 5, 0, 2, 9, 9, 1, 2, 4, 5, 6, 1, 6, 3, 5, 2, 8, 9, 2, 2, 9, 3, 4, 0, 1, 2, 5, 5, 1, 6, 4, 9, 7, 4, 8, 4, 8, 4, 5, 8, 7, 0, 6, 7, 5, 9, 5, 8, 0, 7, 5, 0, 7, 9, 5, 0, 1, 0, 7, 7, 2, 2, 5, 9, 2, 5, 4, 1, 9, 1, 8, 0, 4, 9, 5, 9, 2, 1, 9, 2, 5, 1, 7, 3, 4, 2, 9, 7, 6, 5, 7, 6, 0, 3, 7, 0, 9, 2, 8, 7, 4, 1, 8, 1, 4, 3, 0, 9, 8, 3, 3, 5, 0, 9, 7, 5, 9, 4, 2, 8, 5, 3, 5, 6, 1, 0, 2, 8, 7, 7, 7, 7, 1, 9, 8, 4, 9, 1, 9, 7, 6, 2, 7, 1, 7, 9, 6, 0, 9, 5, 1, 0, 1, 2, 3, 6, 1, 1, 0, 9, 1, 4, 9, 9, 9, 4, 2, 7, 2, 9, 8, 9, 8, 9, 6, 1, 9, 5, 5, 2, 1, 4, 3, 5, 3, 4, 2, 9, 9, 2, 6, 9, 9, 2, 3, 0, 8, 3, 4, 6, 3, 5, 9, 3, 9, 6, 6, 0, 9, 0, 4, 9, 5, 2, 2, 0, 9, 3, 0, 2, 7, 6, 9, 4, 1, 5, 9, 8, 8, 3, 3, 0, 6, 2, 1, 3, 0, 1, 1, 0, 8, 6, 3, 1, 1, 6, 0, 8, 8, 9, 8, 3, 5, 3, 6, 5, 3, 2, 0, 0, 2, 5, 9, 2, 4, 1, 9, 2, 1, 8, 6, 6, 1, 3, 4, 2, 7, 4, 4, 4, 1, 7, 3, 2, 2, 1, 6, 9, 8, 0, 4, 0, 2, 7, 7, 6, 1, 1, 0, 5, 6, 6, 8, 8, 3, 5, 1, 5, 2, 4, 6, 3, 3, 8, 6, 2, 9, 7, 6, 1, 7, 3, 1, 2, 8, 9, 6, 0, 1, 6, 2, 8]\n",
            "shape of x_data :  (10000, 32, 32, 3)\n",
            "\n",
            "Keys of dictionary dict_keys([b'batch_label', b'labels', b'data', b'filenames'])\n",
            "b'training batch 5 of 5'\n",
            "labels :  [1, 8, 5, 1, 5, 7, 4, 3, 8, 2, 7, 2, 0, 1, 5, 9, 6, 2, 0, 8, 2, 7, 0, 4, 1, 7, 7, 4, 4, 9, 9, 6, 2, 4, 1, 6, 4, 9, 6, 6, 9, 6, 9, 9, 5, 7, 1, 6, 8, 2, 9, 5, 9, 5, 3, 7, 1, 3, 3, 9, 1, 7, 8, 9, 7, 4, 3, 4, 9, 5, 8, 4, 9, 3, 6, 1, 1, 4, 3, 9, 9, 1, 9, 9, 2, 4, 3, 2, 4, 7, 1, 5, 1, 8, 6, 3, 6, 3, 4, 4, 9, 9, 9, 7, 0, 5, 7, 7, 4, 8, 8, 4, 2, 0, 5, 2, 4, 9, 1, 7, 7, 4, 8, 8, 8, 0, 2, 3, 6, 3, 9, 0, 8, 2, 2, 4, 8, 8, 1, 8, 5, 7, 6, 0, 9, 1, 4, 8, 2, 1, 0, 5, 1, 6, 5, 3, 4, 9, 9, 0, 3, 5, 4, 2, 6, 3, 9, 4, 9, 8, 6, 4, 1, 1, 9, 8, 2, 2, 1, 8, 5, 9, 7, 8, 1, 1, 4, 2, 4, 2, 0, 8, 8, 0, 0, 4, 3, 0, 7, 7, 6, 1, 6, 7, 1, 5, 6, 1, 7, 2, 4, 0, 2, 2, 5, 9, 3, 2, 1, 4, 1, 2, 9, 8, 5, 2, 3, 3, 4, 9, 7, 2, 3, 9, 7, 6, 2, 9, 7, 5, 4, 0, 8, 7, 2, 0, 3, 5, 1, 3, 1, 7, 8, 7, 9, 8, 2, 9, 1, 4, 8, 6, 7, 3, 6, 9, 7, 9, 4, 5, 8, 0, 5, 6, 6, 0, 8, 4, 6, 1, 4, 2, 2, 1, 8, 4, 4, 0, 2, 4, 1, 9, 8, 9, 0, 7, 1, 1, 6, 4, 7, 4, 6, 9, 3, 2, 7, 3, 7, 4, 5, 1, 9, 6, 3, 9, 6, 0, 7, 0, 0, 0, 6, 6, 9, 7, 3, 2, 0, 6, 7, 5, 0, 2, 0, 3, 8, 6, 9, 9, 7, 1, 2, 0, 8, 8, 0, 8, 2, 0, 9, 5, 1, 3, 3, 0, 7, 6, 1, 0, 7, 9, 3, 1, 6, 3, 5, 1, 8, 3, 3, 2, 2, 5, 7, 4, 8, 4, 3, 0, 5, 9, 5, 4, 3, 2, 1, 9, 2, 8, 7, 8, 2, 9, 1, 8, 6, 4, 2, 3, 3, 0, 8, 2, 3, 5, 7, 1, 8, 8, 1, 0, 9, 9, 9, 8, 7, 5, 0, 5, 0, 5, 1, 1, 4, 6, 7, 1, 2, 8, 5, 1, 0, 3, 5, 8, 6, 6, 6, 7, 7, 4, 0, 5, 2, 8, 3, 7, 0, 1, 9, 9, 2, 1, 7, 6, 5, 3, 8, 3, 0, 7, 6, 2, 7, 7, 6, 5, 6, 4, 8, 5, 1, 4, 9, 1, 0, 5, 7, 0, 2, 5, 0, 8, 1, 0, 4, 2, 2, 5, 5, 8, 0, 8, 9, 8, 4, 7, 6, 4, 8, 6, 7, 5, 0, 1, 3, 9, 9, 1, 4, 3, 8, 6, 6, 2, 0, 7, 1, 6, 1, 6, 4, 4, 8, 0, 0, 2, 5, 4, 4, 4, 3, 7, 2, 0, 5, 1, 5, 7, 9, 7, 0, 5, 6, 2, 3, 8, 0, 6, 4, 6, 8, 4, 1, 5, 0, 6, 3, 9, 4, 5, 4, 7, 9, 6, 2, 7, 6, 1, 7, 8, 5, 1, 9, 8, 1, 3, 8, 7, 4, 8, 1, 2, 3, 7, 0, 3, 4, 0, 0, 4, 8, 4, 1, 1, 9, 4, 8, 9, 5, 8, 1, 3, 7, 9, 8, 0, 5, 8, 4, 3, 0, 6, 8, 1, 5, 6, 0, 0, 5, 0, 9, 2, 3, 2, 7, 6, 6, 4, 7, 4, 5, 1, 3, 0, 8, 7, 9, 0, 6, 8, 4, 3, 0, 8, 7, 4, 0, 0, 4, 3, 0, 6, 0, 1, 1, 5, 4, 7, 4, 2, 5, 4, 6, 4, 6, 8, 3, 8, 3, 8, 7, 6, 4, 6, 9, 6, 1, 0, 0, 5, 4, 8, 7, 6, 5, 2, 5, 7, 3, 8, 7, 9, 7, 8, 6, 5, 9, 9, 8, 2, 8, 0, 2, 4, 2, 4, 0, 7, 6, 9, 3, 1, 2, 6, 2, 5, 4, 9, 2, 5, 9, 7, 9, 6, 3, 2, 8, 9, 7, 7, 3, 0, 9, 9, 2, 3, 8, 4, 0, 0, 9, 7, 7, 4, 0, 0, 6, 1, 9, 1, 0, 9, 5, 6, 3, 4, 1, 1, 6, 0, 1, 5, 3, 5, 9, 6, 0, 4, 4, 5, 5, 5, 9, 3, 5, 9, 8, 5, 8, 9, 6, 5, 8, 8, 2, 2, 3, 8, 9, 2, 3, 4, 4, 9, 0, 6, 4, 5, 5, 9, 0, 4, 6, 8, 0, 0, 1, 3, 9, 6, 9, 5, 1, 1, 7, 7, 0, 9, 7, 7, 1, 6, 6, 9, 3, 4, 2, 7, 0, 5, 2, 9, 7, 4, 6, 7, 1, 3, 4, 2, 4, 0, 4, 9, 4, 3, 4, 2, 6, 0, 3, 7, 4, 9, 6, 5, 9, 7, 2, 0, 4, 3, 8, 2, 7, 0, 5, 3, 3, 5, 0, 0, 6, 9, 0, 3, 5, 6, 1, 8, 6, 8, 6, 9, 8, 5, 3, 5, 0, 3, 7, 7, 6, 9, 0, 7, 9, 8, 2, 7, 9, 9, 5, 5, 0, 3, 2, 6, 0, 2, 7, 8, 3, 9, 7, 2, 2, 8, 6, 6, 3, 9, 2, 8, 8, 6, 0, 6, 7, 9, 5, 4, 5, 1, 1, 4, 5, 8, 5, 2, 7, 4, 5, 0, 6, 8, 9, 4, 3, 5, 6, 1, 3, 7, 0, 5, 1, 6, 2, 2, 4, 8, 1, 2, 2, 1, 2, 5, 9, 1, 1, 3, 4, 2, 9, 7, 0, 8, 2, 4, 6, 8, 0, 3, 7, 1, 8, 5, 8, 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6, 9, 8, 1, 5, 1, 8, 0, 8, 8, 0, 3, 7, 3, 3, 8, 1, 0, 2, 1, 5, 3, 5, 3, 4, 0, 5, 5, 2, 0, 2, 2, 4, 9, 4, 3, 7, 1, 6, 4, 0, 2, 0, 6, 3, 7, 1, 9, 0, 9, 9, 7, 1, 3, 4, 3, 3, 7, 8, 6, 8, 3, 4, 6, 5, 6, 5, 9, 3, 1, 0, 7, 5, 6, 3, 0, 7, 9, 3, 3, 2, 6, 7, 6, 4, 0, 6, 0, 6, 2, 2, 1, 8, 5, 1, 6, 4, 8, 2, 5, 9, 3, 1, 4, 3, 2, 2, 4, 2, 2, 0, 2, 0, 3, 9, 7, 0, 2, 2, 6, 7, 0, 9, 8, 0, 0, 5, 7, 3, 1, 5, 1, 9, 2, 3, 0, 8, 9, 1, 9, 8, 8, 9, 8, 1, 9, 0, 3, 3, 8, 3, 5, 0, 2, 1, 5, 9, 1, 6, 4, 3, 0, 2, 0, 0, 7, 9, 9, 9, 7, 6, 5, 8, 3, 8, 4, 6, 5, 3, 4, 8, 9, 7, 6, 8, 2, 3, 9, 4, 1, 0, 8, 6, 7, 9, 4, 7, 5, 1, 3, 6, 1, 3, 0, 6, 5, 6, 4, 9, 5, 2, 4, 9, 0, 7, 5, 3, 6, 4, 6, 7, 2, 6, 5, 5, 0, 9, 4, 0, 8, 6, 1, 4, 0, 6, 7, 5, 4, 2, 4, 1, 8, 9, 8, 4, 6, 6, 9, 2, 3, 1, 4, 7, 7, 9, 0, 5, 6, 2, 3, 2, 5, 0, 8, 3, 8, 2, 2, 0, 8, 0, 7, 7, 0, 7, 2, 9, 8, 3, 1, 1, 7, 0, 6, 9, 1, 2, 8, 7, 8, 5, 1, 9, 6, 9, 1, 0, 8, 2, 7, 9, 3, 8, 2, 2, 0, 2, 0, 9, 1, 1, 0, 3, 8, 6, 8, 2, 5, 5, 5, 7, 4, 3, 7, 9, 4, 1, 8, 1, 9, 2, 3, 8, 0, 0, 5, 8, 2, 1, 2, 0, 6, 3, 0, 5, 9, 5, 3, 9, 8, 4, 8, 8, 6, 4, 9, 9, 5, 8, 7, 2, 9, 3, 0, 2, 7, 0, 4, 6, 9, 2, 0, 5, 7, 1, 0, 4, 6, 5, 0, 2, 2, 2, 4, 3, 6, 2, 9, 8, 6, 8, 1, 3, 3, 0, 8, 8, 5, 7, 5, 2, 9, 7, 9, 2, 0, 3, 2, 2, 8, 4, 5, 6, 5, 5, 4, 6, 6, 3, 5, 2, 9, 6, 4, 9, 3, 3, 5, 5, 4, 2, 0, 0, 2, 5, 0, 7, 5, 5, 7, 0, 4, 3, 2, 0, 4, 0, 9, 8, 4, 9, 9, 7, 5, 7, 9, 8, 1, 9, 3, 5, 8, 6, 4, 6, 9, 9, 9, 3, 7, 5, 9, 7, 8, 0, 8, 6, 9, 8, 6, 7, 1, 7, 7, 9, 8, 0, 9, 2, 6, 5, 8, 0, 5, 4, 3, 2, 8, 2, 6, 4, 0, 7, 7, 4, 0, 7, 8, 0, 2, 3, 5, 1, 6, 2, 2, 8, 2, 4, 9, 2, 4, 3, 3, 0, 9, 5, 6, 6, 4, 0, 1, 0, 3, 2, 6, 0, 4, 2, 7, 3, 6, 6, 7, 1, 4, 2, 2, 6, 4, 8, 5, 3, 5, 4, 1, 3, 8, 6, 3, 9, 2, 0, 2, 7, 2, 8, 7, 8, 2, 0, 5, 0, 0, 8, 9, 0, 3, 8, 4, 1, 6, 5, 7, 9, 8, 1, 5, 3, 5, 1, 6, 7, 9, 7, 7, 0, 7, 6, 8, 1, 3, 7, 0, 4, 2, 9, 4, 3, 6, 2, 1, 7, 8, 2, 3, 6, 3, 8, 1, 8, 4, 9, 6, 2, 3, 1, 8, 1, 4, 3, 9, 4, 1, 0, 6, 7, 4, 9, 9, 5, 5, 9, 6, 2, 3, 5, 1, 5, 9, 4, 0, 1, 4, 3, 1, 1, 8, 7, 0, 1, 5, 9, 8, 9, 7, 6, 2, 9, 0, 9, 1, 1, 3, 6, 6, 5, 7, 9, 0, 6, 6, 5, 1, 8, 1, 8, 0, 9, 5, 5, 1, 2, 0, 8, 7, 9, 1, 9, 5, 7, 5, 3, 0, 7, 4, 8, 0, 2, 5, 2, 7, 9, 7, 8, 4, 8, 5, 2, 2, 5, 9, 1, 4, 5, 1, 6, 5, 2, 9, 7, 5, 4, 7, 9, 3, 7, 2, 3, 6, 5, 8, 8, 7, 1, 0, 5, 4, 7, 2, 9, 2, 5, 8, 4, 2, 1, 7, 3, 9, 8, 2, 1, 6, 0, 1, 5, 9, 8, 6, 5, 8, 8, 8, 3, 7, 4, 3, 3, 3, 2, 6, 9, 7, 3, 9, 6, 6, 3, 7, 8, 5, 3, 0, 0, 2, 4, 4, 0, 2, 2, 5, 5, 4, 0, 6, 2, 1, 0, 8, 8, 6, 4, 5, 3, 1, 2, 4, 6, 7, 6, 8, 1, 4, 3, 9, 9, 7, 4, 7, 3, 7, 9, 5, 1, 6, 1, 8, 5, 7, 4, 4, 7, 9, 5, 7, 3, 2, 5, 2, 3, 2, 8, 7, 8, 9, 1, 6, 0, 5, 0, 1, 3, 0, 7, 3, 0, 0, 0, 7, 6, 6, 0, 7, 7, 0, 4, 0, 4, 9, 8, 7, 6, 3, 9, 0, 2, 8, 8, 2, 8, 4, 4, 8, 4, 4, 3, 4, 5, 5, 4, 2, 6, 9, 6, 4, 5, 0, 4, 2, 2, 6, 4, 6, 1, 1, 5, 1, 4, 7, 6, 8, 2, 3, 0, 3, 5, 8, 3, 6, 3, 1, 9, 1, 7, 9, 8, 9, 2, 7, 0, 6, 0, 7, 3, 6, 0, 3, 6, 3, 5, 5, 8, 4, 7, 0, 6, 6, 6, 8, 2, 4, 3, 6, 7, 9, 4, 2, 3, 8, 1, 4, 6, 3, 0, 8, 7, 4, 1, 9, 8, 8, 3, 5, 0, 4, 1, 0, 1, 2, 6, 1, 3, 6, 0, 0, 5, 6, 9, 6, 8, 4, 0, 9, 2, 2, 8, 5, 5, 3, 2, 1, 9, 4, 9, 3, 8, 9, 4, 9, 0, 5, 0, 8, 2, 3, 7, 8, 9, 4, 5, 3, 2, 5, 0, 7, 2, 1, 1, 4, 4, 8, 9, 4, 6, 9, 4, 9, 3, 5, 6, 9, 9, 7, 7, 6, 1, 6, 8, 8, 3, 1, 6, 7, 7, 2, 0, 7, 5, 2, 3, 4, 6, 9, 7, 6, 1, 6, 6, 7, 9, 9, 1, 0, 2, 2, 5, 7, 9, 9, 9, 1, 6, 4, 3, 3, 1, 3, 6, 3, 1, 1, 9, 9, 6, 3, 8, 0, 0, 2, 6, 6, 1, 4, 4, 2, 0, 2, 8, 7, 2, 5, 2, 0, 8, 7, 6, 5, 9, 5, 4, 8, 7, 3, 5, 6, 5, 1, 1, 9, 9, 9, 7, 8, 0, 6, 0, 3, 7, 7, 8, 6, 1, 1, 4, 7, 3, 7, 3, 3, 8, 6, 3, 9, 1, 0, 1, 1, 8, 2, 4, 5, 2, 3, 9, 2, 8, 8, 7, 1, 0, 8, 8, 9, 0, 0, 3, 6, 5, 1, 0, 7, 0, 8, 3, 2, 8, 9, 8, 7, 8, 5, 1, 4, 5, 0, 3, 8, 6, 9, 9, 8, 1, 3, 7, 4, 6, 8, 7, 7, 4, 0, 9, 4, 9, 6, 6, 9, 6, 4, 6, 5, 8, 9, 3, 0, 8, 1, 3, 3, 2, 1, 7, 3, 9, 7, 1, 7, 1, 3, 1, 8, 0, 4, 9, 1, 3, 7, 5, 4, 9, 0, 7, 8, 2, 9, 8, 4, 4, 8, 5, 0, 2, 8, 8, 5, 9, 6, 7, 0, 7, 6, 9, 5, 2, 1, 7, 5, 7, 3, 2, 2, 0, 7, 9, 6, 3, 7, 2, 1, 9, 6, 1, 9, 5, 6, 2, 8, 4, 7, 5, 9, 6, 2, 3, 3, 9, 5, 6, 0, 5, 6, 3, 6, 0, 7, 7, 6, 6, 1, 1, 5, 5, 4, 4, 3, 6, 8, 3, 7, 5, 3, 1, 5, 2, 2, 8, 2, 7, 5, 5, 7, 3, 1, 9, 0, 0, 7, 2, 6, 0, 1, 0, 8, 1, 0, 7, 6, 4, 6, 1, 4, 1, 2, 8, 0, 9, 6, 1, 7, 6, 4, 3, 3, 3, 9, 9, 0, 8, 0, 8, 0, 1, 7, 8, 8, 5, 1, 6, 1, 3, 9, 3, 0, 8, 8, 4, 7, 1, 8, 6, 2, 7, 2, 9, 5, 8, 1, 4, 9, 6, 9, 6, 7, 3, 1, 0, 1, 6, 7, 4, 8, 1, 9, 6, 2, 0, 4, 5, 0, 3, 9, 1, 9, 5, 8, 3, 5, 2, 6, 8, 1, 1, 5, 1, 0, 6, 0, 9, 3, 3, 8, 8, 1, 3, 2, 2, 7, 5, 9, 7, 5, 7, 2, 2, 6, 9, 9, 6, 3, 6, 8, 3, 5, 3, 1, 7, 2, 5, 8, 5, 4, 7, 9, 3, 8, 4, 3, 5, 1, 5, 7, 1, 1, 4, 1, 0, 1, 3, 5, 1, 5, 6, 0, 0, 3, 3, 8, 9, 1, 4, 1, 4, 0, 5, 1, 0, 0, 6, 0, 5, 4, 6, 0, 4, 5, 9, 8, 5, 5, 7, 0, 1, 2, 0, 7, 0, 5, 8, 6, 9, 0, 2, 6, 2, 1, 9, 5, 8, 8, 3, 3, 9, 5, 5, 2, 6, 8, 5, 8, 1, 0, 0, 0, 2, 0, 2, 1, 1, 3, 4, 5, 1, 8, 8, 1, 8, 8, 1, 2, 3, 4, 3, 5, 7, 5, 9, 6, 3, 9, 6, 1, 4, 1, 1, 1, 1, 8, 7, 1, 1, 4, 9, 4, 4, 3, 3, 9, 3, 6, 1, 4, 7, 6, 4, 3, 7, 9, 5, 1, 3, 0, 1, 2, 3, 3, 7, 6, 4, 6, 6, 8, 3, 7, 0, 1, 7, 8, 3, 0, 9, 0, 6, 9, 5, 6, 7, 0, 9, 1, 5, 4, 3, 5, 7, 5, 7, 0, 1, 6, 8, 6, 0, 8, 1, 7, 0, 5, 9, 1, 9, 5, 2, 6, 3, 4, 9, 0, 0, 7, 1, 5, 1, 8, 2, 8, 5, 8, 5, 2, 2, 4, 2, 4, 9, 7, 4, 3, 3, 2, 9, 7, 8, 8, 6, 4, 2, 3, 1, 5, 6, 1, 7, 5, 6, 5, 2, 0, 8, 3, 5, 5, 1, 0, 4, 4, 5, 2, 5, 0, 2, 2, 3, 4, 7, 5, 2, 7, 9, 1, 0, 0, 2, 7, 7, 0, 4, 3, 3, 4, 8, 7, 8, 6, 1, 4, 9, 4, 8, 5, 6, 2, 2, 8, 4, 1, 7, 0, 3, 7, 8, 7, 9, 8, 1, 1, 3, 6, 7, 3, 7, 3, 6, 1, 8, 9, 9, 2, 8, 9, 2, 9, 3, 1, 8, 8, 3, 3, 3, 9, 7, 1, 7, 5, 6, 0, 2, 7, 2, 5, 6, 4, 4, 3, 6, 7, 5, 7, 4, 6, 7, 7, 9, 2, 6, 3, 1, 8, 3, 9, 4, 3, 5, 8, 8, 6, 8, 9, 3, 9, 6, 3, 6, 0, 8, 3, 3, 7, 9, 7, 9, 5, 7, 1, 5, 1, 7, 8, 8, 6, 6, 3, 0, 8, 2, 5, 9, 8, 6, 0, 9, 8, 5, 5, 0, 0, 2, 1, 3, 1, 6, 1, 8, 2, 9, 9, 9, 2, 5, 5, 5, 7, 1, 8, 2, 9, 5, 0, 6, 7, 1, 4, 3, 8, 4, 8, 3, 3, 4, 7, 9, 8, 3, 7, 9, 6, 8, 9, 7, 1, 2, 8, 8, 9, 3, 1, 5, 0, 3, 6, 8, 7, 9, 5, 6, 6, 0, 9, 1, 1, 3, 7, 8, 1, 5, 7, 3, 0, 7, 7, 3, 9, 4, 4, 6, 6, 4, 4, 6, 8, 4, 8, 2, 5, 3, 1, 8, 7, 6, 9, 5, 7, 6, 8, 8, 2, 3, 9, 2, 1, 4, 3, 8, 1, 7, 3, 5, 4, 3, 3, 4, 8, 7, 2, 5, 1, 4, 2, 0, 1, 0, 2, 6, 9, 1, 1]\n",
            "shape of x_data :  (10000, 32, 32, 3)\n",
            "\n"
          ]
        }
      ],
      "source": [
        "train_data = []\n",
        "for batch in train_batch:\n",
        "  print(\"Keys of dictionary\",batch.keys())\n",
        "  print(batch[b'batch_label'])\n",
        "  print(\"labels : \",batch[b'labels'])\n",
        "  y_data = batch[b'labels']\n",
        "\n",
        "  x_data = batch[b'data']\n",
        "  x_data = x_data.reshape(len(x_data),3,32,32).transpose(0,2,3,1)\n",
        "  print(\"shape of x_data : \",x_data.shape)\n",
        "\n",
        "  for i in range(len(y_data)):\n",
        "    train_data.append((x_data[i],y_data[i]))\n",
        "  print()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dlqeevrsjdzn",
        "outputId": "0fc0d38c-69a9-4caa-a394-701b02b881b0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "50000\n",
            "(32, 32, 3) 6\n"
          ]
        }
      ],
      "source": [
        "print(len(train_data))\n",
        "x,y = train_data[0]\n",
        "print(x.shape,y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kf4fBNHSlNDX",
        "outputId": "cc060e4c-fbce-4777-e040-45c81cea8cba"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Keys of dictionary dict_keys([b'batch_label', b'labels', b'data', b'filenames'])\n",
            "b'testing batch 1 of 1'\n",
            "labels :  [3, 8, 8, 0, 6, 6, 1, 6, 3, 1, 0, 9, 5, 7, 9, 8, 5, 7, 8, 6, 7, 0, 4, 9, 5, 2, 4, 0, 9, 6, 6, 5, 4, 5, 9, 2, 4, 1, 9, 5, 4, 6, 5, 6, 0, 9, 3, 9, 7, 6, 9, 8, 0, 3, 8, 8, 7, 7, 4, 6, 7, 3, 6, 3, 6, 2, 1, 2, 3, 7, 2, 6, 8, 8, 0, 2, 9, 3, 3, 8, 8, 1, 1, 7, 2, 5, 2, 7, 8, 9, 0, 3, 8, 6, 4, 6, 6, 0, 0, 7, 4, 5, 6, 3, 1, 1, 3, 6, 8, 7, 4, 0, 6, 2, 1, 3, 0, 4, 2, 7, 8, 3, 1, 2, 8, 0, 8, 3, 5, 2, 4, 1, 8, 9, 1, 2, 9, 7, 2, 9, 6, 5, 6, 3, 8, 7, 6, 2, 5, 2, 8, 9, 6, 0, 0, 5, 2, 9, 5, 4, 2, 1, 6, 6, 8, 4, 8, 4, 5, 0, 9, 9, 9, 8, 9, 9, 3, 7, 5, 0, 0, 5, 2, 2, 3, 8, 6, 3, 4, 0, 5, 8, 0, 1, 7, 2, 8, 8, 7, 8, 5, 1, 8, 7, 1, 3, 0, 5, 7, 9, 7, 4, 5, 9, 8, 0, 7, 9, 8, 2, 7, 6, 9, 4, 3, 9, 6, 4, 7, 6, 5, 1, 5, 8, 8, 0, 4, 0, 5, 5, 1, 1, 8, 9, 0, 3, 1, 9, 2, 2, 5, 3, 9, 9, 4, 0, 3, 0, 0, 9, 8, 1, 5, 7, 0, 8, 2, 4, 7, 0, 2, 3, 6, 3, 8, 5, 0, 3, 4, 3, 9, 0, 6, 1, 0, 9, 1, 0, 7, 9, 1, 2, 6, 9, 3, 4, 6, 0, 0, 6, 6, 6, 3, 2, 6, 1, 8, 2, 1, 6, 8, 6, 8, 0, 4, 0, 7, 7, 5, 5, 3, 5, 2, 3, 4, 1, 7, 5, 4, 6, 1, 9, 3, 6, 6, 9, 3, 8, 0, 7, 2, 6, 2, 5, 8, 5, 4, 6, 8, 9, 9, 1, 0, 2, 2, 7, 3, 2, 8, 0, 9, 5, 8, 1, 9, 4, 1, 3, 8, 1, 4, 7, 9, 4, 2, 7, 0, 7, 0, 6, 6, 9, 0, 9, 2, 8, 7, 2, 2, 5, 1, 2, 6, 2, 9, 6, 2, 3, 0, 3, 9, 8, 7, 8, 8, 4, 0, 1, 8, 2, 7, 9, 3, 6, 1, 9, 0, 7, 3, 7, 4, 5, 0, 0, 2, 9, 3, 4, 0, 6, 2, 5, 3, 7, 3, 7, 2, 5, 3, 1, 1, 4, 9, 9, 5, 7, 5, 0, 2, 2, 2, 9, 7, 3, 9, 4, 3, 5, 4, 6, 5, 6, 1, 4, 3, 4, 4, 3, 7, 8, 3, 7, 8, 0, 5, 7, 6, 0, 5, 4, 8, 6, 8, 5, 5, 9, 9, 9, 5, 0, 1, 0, 8, 1, 1, 8, 0, 2, 2, 0, 4, 6, 5, 4, 9, 4, 7, 9, 9, 4, 5, 6, 6, 1, 5, 3, 8, 9, 5, 8, 5, 7, 0, 7, 0, 5, 0, 0, 4, 6, 9, 0, 9, 5, 6, 6, 6, 2, 9, 0, 1, 7, 6, 7, 5, 9, 1, 6, 2, 5, 5, 5, 8, 5, 9, 4, 6, 4, 3, 2, 0, 7, 6, 2, 2, 3, 9, 7, 9, 2, 6, 7, 1, 3, 6, 6, 8, 9, 7, 5, 4, 0, 8, 4, 0, 9, 3, 4, 8, 9, 6, 9, 2, 6, 1, 4, 7, 3, 5, 3, 8, 5, 0, 2, 1, 6, 4, 3, 3, 9, 6, 9, 8, 8, 5, 8, 6, 6, 2, 1, 7, 7, 1, 2, 7, 9, 9, 4, 4, 1, 2, 5, 6, 8, 7, 6, 8, 3, 0, 5, 5, 3, 0, 7, 9, 1, 3, 4, 4, 5, 3, 9, 5, 6, 9, 2, 1, 1, 4, 1, 9, 4, 7, 6, 3, 8, 9, 0, 1, 3, 6, 3, 6, 3, 2, 0, 3, 1, 0, 5, 9, 6, 4, 8, 9, 6, 9, 6, 3, 0, 3, 2, 2, 7, 8, 3, 8, 2, 7, 5, 7, 2, 4, 8, 7, 4, 2, 9, 8, 8, 6, 8, 8, 7, 4, 3, 3, 8, 4, 9, 4, 8, 8, 1, 8, 2, 1, 3, 6, 5, 4, 2, 7, 9, 9, 4, 1, 4, 1, 3, 2, 7, 0, 7, 9, 7, 6, 6, 2, 5, 9, 2, 9, 1, 2, 2, 6, 8, 2, 1, 3, 6, 6, 0, 1, 2, 7, 0, 5, 4, 6, 1, 6, 4, 0, 2, 2, 6, 0, 5, 9, 1, 7, 6, 7, 0, 3, 9, 6, 8, 3, 0, 3, 4, 7, 7, 1, 4, 7, 2, 7, 1, 4, 7, 4, 4, 8, 4, 7, 7, 5, 3, 7, 2, 0, 8, 9, 5, 8, 3, 6, 2, 0, 8, 7, 3, 7, 6, 5, 3, 1, 3, 2, 2, 5, 4, 1, 2, 9, 2, 7, 0, 7, 2, 1, 3, 2, 0, 2, 4, 7, 9, 8, 9, 0, 7, 7, 0, 7, 8, 4, 6, 3, 3, 0, 1, 3, 7, 0, 1, 3, 1, 4, 2, 3, 8, 4, 2, 3, 7, 8, 4, 3, 0, 9, 0, 0, 1, 0, 4, 4, 6, 7, 6, 1, 1, 3, 7, 3, 5, 2, 6, 6, 5, 8, 7, 1, 6, 8, 8, 5, 3, 0, 4, 0, 1, 3, 8, 8, 0, 6, 9, 9, 9, 5, 5, 8, 6, 0, 0, 4, 2, 3, 2, 7, 2, 2, 5, 9, 8, 9, 1, 7, 4, 0, 3, 0, 1, 3, 8, 3, 9, 6, 1, 4, 7, 0, 3, 7, 8, 9, 1, 1, 6, 6, 6, 6, 9, 1, 9, 9, 4, 2, 1, 7, 0, 6, 8, 1, 9, 2, 9, 0, 4, 7, 8, 3, 1, 2, 0, 1, 5, 8, 4, 6, 3, 8, 1, 3, 8, 5, 0, 8, 4, 8, 1, 1, 8, 9, 6, 0, 8, 6, 1, 3, 4, 1, 6, 0, 5, 1, 1, 0, 0, 3, 5, 0, 0, 6, 6, 3, 3, 6, 3, 6, 6, 0, 7, 2, 2, 7, 5, 5, 2, 8, 5, 2, 1, 1, 4, 3, 2, 0, 3, 1, 5, 3, 7, 6, 8, 9, 1, 6, 4, 9, 3, 9, 0, 9, 6, 3, 6, 0, 7, 3, 8, 0, 0, 0, 6, 6, 6, 9, 2, 5, 4, 4, 6, 3, 6, 0, 8, 6, 0, 6, 2, 7, 5, 1, 2, 7, 8, 8, 0, 9, 4, 9, 7, 2, 0, 2, 8, 3, 8, 9, 1, 5, 5, 4, 7, 5, 3, 8, 3, 3, 6, 2, 8, 4, 3, 7, 1, 2, 4, 1, 6, 9, 0, 5, 8, 6, 1, 8, 6, 1, 4, 2, 6, 2, 7, 2, 2, 0, 8, 6, 9, 1, 7, 1, 8, 8, 0, 7, 3, 8, 0, 3, 4, 3, 7, 7, 9, 2, 3, 1, 9, 1, 9, 6, 3, 3, 3, 1, 0, 6, 1, 4, 1, 0, 0, 1, 1, 6, 5, 4, 6, 2, 0, 7, 9, 8, 7, 2, 0, 6, 8, 1, 4, 3, 7, 0, 6, 1, 8, 5, 7, 8, 4, 8, 3, 9, 9, 9, 8, 7, 6, 6, 3, 5, 1, 5, 9, 1, 4, 1, 5, 7, 0, 1, 5, 2, 0, 8, 8, 5, 6, 7, 3, 2, 4, 7, 2, 5, 8, 2, 4, 9, 2, 1, 8, 1, 9, 8, 8, 8, 9, 0, 4, 3, 3, 1, 8, 4, 6, 3, 3, 5, 2, 2, 8, 3, 8, 9, 5, 8, 9, 8, 9, 1, 6, 5, 9, 4, 4, 8, 0, 7, 2, 9, 7, 4, 1, 6, 4, 4, 9, 1, 2, 5, 6, 0, 8, 6, 1, 9, 4, 5, 9, 5, 0, 7, 2, 0, 0, 4, 2, 6, 6, 5, 5, 2, 8, 1, 7, 3, 1, 4, 5, 6, 5, 1, 4, 7, 0, 9, 4, 3, 8, 2, 8, 4, 7, 2, 3, 1, 5, 2, 9, 8, 9, 7, 9, 5, 1, 4, 0, 8, 2, 3, 8, 9, 1, 1, 3, 2, 4, 9, 3, 1, 7, 4, 6, 2, 8, 9, 5, 3, 9, 5, 5, 6, 7, 2, 4, 6, 3, 1, 0, 7, 2, 5, 4, 7, 6, 1, 1, 9, 8, 1, 0, 1, 3, 1, 1, 1, 7, 3, 9, 6, 8, 4, 6, 8, 4, 9, 4, 7, 9, 7, 6, 8, 4, 9, 7, 0, 1, 6, 1, 5, 9, 0, 4, 3, 4, 1, 3, 0, 8, 4, 6, 2, 2, 6, 5, 3, 6, 2, 1, 1, 8, 6, 0, 4, 0, 1, 9, 7, 1, 3, 7, 7, 8, 7, 7, 3, 9, 7, 7, 7, 2, 1, 2, 8, 6, 4, 0, 7, 9, 8, 6, 8, 4, 9, 1, 7, 2, 2, 8, 5, 8, 1, 2, 2, 4, 1, 2, 5, 2, 8, 1, 8, 1, 8, 6, 0, 2, 4, 1, 3, 6, 7, 7, 4, 4, 3, 3, 4, 5, 2, 4, 3, 7, 8, 4, 4, 4, 5, 4, 3, 2, 8, 4, 5, 5, 4, 1, 4, 2, 5, 1, 6, 4, 3, 4, 4, 0, 8, 8, 4, 5, 7, 5, 6, 9, 1, 6, 7, 2, 0, 1, 4, 5, 6, 0, 0, 2, 7, 5, 6, 0, 6, 2, 9, 1, 7, 7, 5, 2, 5, 6, 4, 1, 4, 3, 3, 3, 0, 3, 5, 5, 8, 9, 7, 3, 1, 3, 3, 3, 4, 4, 2, 3, 3, 8, 1, 7, 7, 0, 7, 4, 5, 1, 4, 2, 4, 3, 9, 9, 4, 9, 9, 1, 8, 1, 6, 7, 5, 5, 4, 9, 7, 6, 5, 9, 2, 4, 0, 7, 8, 5, 5, 0, 0, 9, 9, 8, 2, 5, 4, 8, 3, 6, 3, 6, 0, 6, 6, 6, 9, 6, 6, 8, 6, 2, 4, 5, 8, 1, 2, 7, 6, 5, 7, 8, 1, 8, 0, 8, 6, 9, 2, 8, 9, 4, 0, 9, 4, 9, 5, 7, 5, 5, 9, 5, 3, 0, 1, 9, 7, 2, 4, 1, 0, 8, 0, 3, 1, 7, 0, 0, 4, 8, 6, 2, 4, 0, 0, 9, 0, 8, 4, 5, 9, 3, 9, 0, 5, 6, 5, 0, 1, 4, 8, 1, 0, 5, 2, 1, 0, 2, 8, 1, 5, 6, 7, 7, 2, 6, 2, 5, 0, 1, 4, 2, 5, 4, 6, 2, 2, 1, 7, 2, 8, 5, 5, 3, 0, 4, 8, 3, 7, 6, 3, 8, 1, 0, 1, 3, 3, 0, 7, 4, 9, 5, 3, 6, 0, 1, 4, 4, 4, 4, 2, 2, 5, 8, 1, 5, 9, 8, 1, 1, 5, 3, 9, 9, 7, 6, 5, 0, 8, 4, 7, 0, 9, 2, 8, 4, 7, 1, 3, 9, 6, 8, 9, 0, 4, 9, 6, 7, 8, 9, 4, 8, 9, 7, 2, 5, 3, 7, 1, 0, 2, 9, 5, 5, 8, 5, 4, 2, 8, 3, 5, 5, 7, 7, 8, 6, 2, 8, 2, 3, 5, 6, 8, 0, 2, 3, 7, 0, 1, 9, 1, 3, 7, 5, 8, 3, 2, 9, 6, 8, 6, 9, 3, 8, 9, 8, 0, 7, 8, 5, 0, 0, 1, 3, 9, 1, 5, 3, 4, 4, 0, 9, 9, 9, 9, 8, 2, 4, 2, 2, 5, 1, 9, 1, 0, 9, 4, 2, 1, 6, 0, 3, 7, 6, 3, 1, 8, 6, 5, 7, 2, 8, 4, 4, 8, 3, 5, 0, 5, 7, 4, 4, 2, 2, 7, 3, 6, 0, 2, 7, 6, 2, 3, 0, 7, 7, 8, 1, 1, 4, 6, 0, 6, 6, 5, 5, 6, 3, 9, 3, 6, 8, 7, 6, 4, 9, 5, 6, 4, 1, 6, 3, 8, 2, 3, 9, 8, 5, 1, 5, 4, 5, 7, 5, 7, 8, 9, 1, 7, 2, 5, 6, 8, 4, 6, 5, 3, 9, 9, 8, 5, 5, 6, 4, 5, 9, 7, 3, 4, 1, 4, 2, 3, 6, 5, 5, 2, 8, 0, 0, 1, 8, 3, 1, 3, 5, 8, 3, 8, 5, 8, 6, 3, 5, 5, 5, 0, 9, 5, 5, 7, 1, 8, 2, 2, 7, 3, 4, 2, 9, 6, 2, 2, 4, 3, 0, 2, 0, 1, 3, 2, 2, 7, 0, 1, 0, 7, 7, 2, 0, 1, 6, 5, 0, 2, 2, 0, 1, 2, 6, 0, 1, 6, 6, 5, 3, 4, 0, 0, 9, 1, 0, 2, 5, 9, 7, 8, 6, 4, 6, 0, 2, 0, 1, 9, 2, 4, 9, 0, 7, 2, 3, 4, 8, 0, 2, 6, 8, 9, 7, 1, 9, 3, 7, 2, 7, 9, 6, 9, 5, 7, 8, 5, 9, 8, 3, 9, 8, 0, 5, 5, 7, 1, 2, 0, 7, 5, 8, 2, 2, 5, 3, 9, 3, 1, 9, 3, 1, 4, 3, 4, 4, 9, 0, 9, 5, 9, 2, 9, 4, 0, 2, 8, 4, 8, 6, 8, 2, 0, 5, 9, 6, 9, 5, 1, 3, 4, 4, 2, 7, 2, 4, 4, 0, 2, 8, 4, 5, 1, 2, 6, 8, 1, 7, 2, 8, 7, 4, 3, 3, 0, 3, 7, 2, 5, 6, 1, 7, 9, 0, 2, 3, 9, 8, 9, 5, 0, 0, 7, 6, 3, 3, 8, 1, 4, 0, 1, 5, 4, 3, 2, 6, 0, 8, 8, 6, 3, 3, 2, 9, 7, 5, 1, 6, 0, 5, 9, 9, 4, 5, 9, 4, 8, 3, 3, 2, 5, 1, 9, 5, 5, 8, 1, 8, 9, 7, 0, 6, 3, 2, 0, 2, 6, 9, 3, 9, 1, 6, 6, 7, 2, 6, 3, 2, 5, 5, 2, 7, 5, 2, 0, 8, 0, 7, 7, 1, 7, 4, 0, 2, 2, 6, 1, 5, 9, 7, 6, 2, 7, 0, 5, 6, 0, 1, 1, 8, 4, 5, 3, 1, 2, 4, 8, 9, 8, 1, 7, 2, 7, 2, 3, 2, 6, 7, 9, 4, 0, 1, 0, 4, 5, 0, 8, 0, 7, 6, 1, 0, 8, 5, 9, 2, 5, 4, 4, 9, 0, 6, 1, 2, 5, 1, 6, 7, 1, 5, 8, 8, 0, 3, 9, 4, 0, 3, 4, 9, 2, 4, 3, 0, 6, 4, 5, 6, 6, 7, 8, 4, 8, 8, 3, 2, 8, 0, 2, 5, 6, 8, 7, 8, 9, 9, 0, 6, 6, 8, 1, 1, 7, 4, 4, 2, 3, 6, 9, 6, 2, 4, 1, 8, 2, 3, 1, 6, 8, 6, 8, 5, 9, 0, 1, 0, 2, 9, 2, 9, 0, 9, 7, 8, 5, 0, 6, 6, 8, 1, 6, 5, 8, 7, 9, 2, 1, 6, 7, 5, 6, 3, 0, 9, 8, 9, 5, 9, 9, 9, 3, 6, 4, 4, 8, 8, 1, 7, 3, 0, 6, 2, 4, 8, 2, 2, 9, 2, 2, 9, 7, 4, 1, 9, 1, 4, 3, 5, 3, 8, 9, 3, 6, 2, 0, 8, 9, 0, 5, 1, 5, 8, 2, 1, 2, 3, 2, 4, 8, 4, 0, 6, 4, 2, 9, 8, 4, 7, 6, 2, 4, 7, 7, 6, 4, 2, 2, 3, 2, 4, 9, 0, 0, 9, 6, 5, 8, 5, 2, 4, 8, 8, 6, 4, 5, 7, 6, 3, 7, 0, 4, 0, 5, 8, 2, 8, 0, 4, 9, 2, 3, 6, 8, 1, 6, 0, 8, 4, 3, 1, 4, 5, 2, 4, 3, 6, 0, 7, 1, 3, 5, 7, 1, 8, 0, 4, 8, 2, 7, 7, 0, 2, 2, 4, 3, 3, 1, 6, 1, 6, 4, 6, 7, 4, 7, 3, 8, 1, 3, 1, 4, 6, 5, 5, 7, 4, 5, 4, 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0, 5, 8, 4, 7, 3, 1, 4, 5, 3, 1, 0, 8, 8, 8, 2, 1, 3, 7, 3, 1, 6, 9, 1, 6, 0, 7, 7, 1, 3, 3, 3, 1, 0, 2, 7, 1, 2, 2, 9, 6, 3, 5, 9, 4, 8, 0, 4, 8, 0, 1, 3, 7, 0, 4, 7, 4, 8, 6, 4, 3, 9, 8, 2, 2, 8, 3, 1, 1, 2, 8, 2, 6, 9, 4, 8, 4, 4, 1, 5, 2, 6, 9, 2, 0, 7, 1, 8, 9, 3, 9, 9, 0, 7, 7, 5, 4, 2, 6, 4, 5, 7, 7, 8, 7, 2, 6, 2, 2, 4, 4, 0, 7, 1, 3, 9, 6, 0, 0, 2, 3, 8, 2, 2, 4, 3, 5, 2, 9, 1, 0, 0, 6, 5, 5, 7, 9, 9, 6, 5, 5, 0, 5, 7, 1, 6, 6, 4, 1, 4, 4, 1, 5, 0, 0, 4, 5, 8, 4, 8, 3, 0, 5, 0, 5, 3, 1, 6, 7, 0, 9, 1, 5, 7, 6, 5, 5, 5, 6, 0, 0, 1, 7, 5, 1, 9, 2, 4, 1, 3, 7, 8, 2, 0, 9, 6, 6, 0, 6, 5, 8, 2, 7, 4, 0, 2, 7, 7, 8, 8, 7, 0, 4, 9, 1, 4, 4, 3, 5, 4, 6, 2, 3, 1, 0, 3, 3, 3, 6, 3, 1, 2, 8, 9, 7, 9, 3, 8, 7, 3, 1, 7, 7, 3, 2, 2, 8, 9, 5, 9, 2, 1, 7, 4, 4, 0, 5, 7, 1, 5, 4, 0, 8, 4, 9, 8, 7, 8, 4, 2, 3, 4, 0, 5, 4, 1, 8, 2, 5, 4, 5, 2, 5, 3, 7, 9, 7, 1, 4, 1, 3, 1, 4, 5, 5, 1, 7, 1, 3, 0, 1, 2, 5, 7, 0, 6, 3, 5, 7, 5, 5, 8, 9, 4, 6, 3, 6, 6, 8, 2, 6, 4, 8, 4, 1, 3, 1, 2, 3, 3, 0, 1, 6, 4, 2, 8, 2, 4, 3, 1, 4, 4, 4, 4, 1, 5, 5, 7, 6, 5, 4, 5, 6, 5, 6, 2, 4, 7, 7, 4, 6, 5, 0, 2, 3, 9, 2, 3, 8, 0, 7, 0, 6, 8, 1, 2, 8, 9, 1, 5, 4, 2, 3, 5, 5, 3, 6, 5, 0, 3, 2, 1, 3, 3, 7, 7, 4, 9, 4, 3, 9, 5, 1, 7, 6, 6, 4, 8, 5, 1, 2, 8, 4, 5, 3, 3, 3, 0, 4, 8, 7, 7, 9, 4, 8, 4, 5, 9, 1, 8, 3, 1, 3, 8, 0, 3, 5, 4, 6, 9, 2, 7, 2, 0, 5, 2, 9, 7, 5, 0, 7, 0, 3, 5, 5, 3, 8, 7, 7, 9, 6, 5, 8, 9, 0, 1, 9, 4, 0, 0, 1, 7, 2, 2, 8, 5, 9, 8, 2, 8, 0, 6, 6, 8, 6, 9, 6, 1, 1, 5, 3, 5, 0, 7, 6, 1, 4, 4, 1, 1, 8, 1, 1, 2, 3, 4, 9, 9, 5, 2, 7, 3, 3, 6, 9, 6, 9, 8, 8, 6, 7, 4, 7, 2, 3, 8, 0, 9, 0, 7, 8, 1, 2, 3, 2, 4, 2, 9, 0, 3, 8, 9, 6, 5, 5, 2, 4, 1, 0, 6, 1, 8, 4, 5, 5, 5, 0, 8, 9, 0, 5, 7, 9, 6, 3, 4, 6, 4, 9, 7, 1, 2, 5, 2, 8, 0, 2, 2, 9, 8, 1, 9, 7, 7, 3, 1, 4, 1, 1, 3, 8, 8, 1, 9, 3, 8, 9, 5, 1, 1, 6, 2, 7, 2, 6, 2, 6, 9, 6, 0, 1, 3, 9, 3, 8, 8, 8, 2, 9, 1, 2, 6, 0, 5, 0, 7, 7, 7, 9, 4, 5, 0, 2, 3, 5, 5, 8, 9, 1, 2, 7, 1, 3, 4, 6, 9, 1, 0, 7, 1, 9, 5, 8, 1, 9, 9, 7, 9, 8, 3, 0, 2, 6, 0, 2, 2, 4, 0, 8, 4, 8, 1, 2, 7, 2, 7, 9, 5, 2, 2, 9, 2, 6, 5, 7, 2, 5, 6, 5, 1, 8, 2, 6, 8, 6, 3, 0, 8, 0, 0, 9, 9, 6, 8, 0, 6, 6, 0, 7, 9, 8, 0, 5, 0, 9, 6, 0, 4, 7, 1, 7, 8, 8, 2, 3, 9, 6, 5, 5, 3, 1, 5, 3, 0, 2, 5, 2, 7, 3, 8, 4, 4, 6, 1, 9, 4, 1, 7, 0, 1, 4, 3, 0, 2, 9, 4, 5, 0, 3, 4, 7, 2, 3, 0, 1, 3, 7, 9, 9, 0, 7, 5, 6, 7, 1, 2, 2, 7, 4, 6, 8, 4, 9, 8, 4, 9, 2, 3, 4, 0, 2, 5, 6, 0, 5, 3, 5, 8, 3, 7, 4, 9, 5, 6, 3, 8, 6, 9, 8, 5, 5, 8, 3, 5, 9, 0, 4, 2, 0, 5, 9, 9, 3, 8, 0, 6, 0, 2, 3, 7, 0, 0, 6, 9, 1, 5, 2, 2, 7, 9, 3, 9, 3, 5, 2, 2, 2, 8, 8, 5, 0, 0, 7, 0, 3, 1, 6, 5, 0, 9, 2, 6, 7, 4, 2, 0, 0, 5, 3, 3, 2, 6, 4, 2, 7, 8, 0, 1, 0, 1, 3, 6, 4, 8, 0, 6, 0, 9, 1, 6, 2, 1, 0, 1, 3, 0, 3, 7, 9, 9, 3, 7, 5, 7, 1, 6, 6, 1, 1, 1, 4, 4, 2, 1, 7, 0, 1, 2, 1, 1, 3, 2, 6, 9, 1, 3, 2, 0, 8, 7, 3, 4, 6, 4, 6, 9, 4, 8, 9, 3, 0, 5, 7, 2, 0, 2, 9, 9, 3, 8, 7, 1, 1, 2, 2, 2, 5, 9, 1, 2, 6, 1, 2, 1, 8, 9, 2, 3, 1, 9, 9, 4, 4, 5, 5, 0, 3, 3, 7, 1, 7, 7, 9, 8, 6, 3, 5, 5, 1, 6, 2, 7, 8, 4, 3, 3, 5, 9, 6, 8, 5, 1, 0, 6, 7, 0, 9, 6, 2, 0, 8, 7, 1, 2, 6, 9, 1, 6, 4, 7, 1, 9, 0, 0, 5, 2, 8, 3, 8, 2, 8, 4, 0, 8, 3, 6, 1, 2, 3, 0, 5, 0, 4, 1, 7, 2, 0, 1, 3, 9, 1, 6, 1, 6, 1, 2, 8, 7, 0, 9, 5, 8, 0, 0, 1, 7, 9, 7, 1, 9, 2, 1, 9, 4, 3, 6, 0, 2, 0, 0, 9, 9, 8, 9, 4, 5, 4, 3, 0, 7, 8, 7, 3, 7, 5, 4, 6, 5, 9, 5, 2, 4, 2, 7, 9, 6, 7, 4, 7, 1, 2, 3, 1, 1, 3, 6, 8, 3, 7, 7, 0, 8, 1, 5, 2, 5, 5, 3, 6, 3, 5, 9, 8, 4, 6, 8, 0, 4, 1, 7, 8, 4, 9, 7, 2, 6, 3, 8, 8, 6, 7, 3, 8, 1, 1, 5, 3, 7, 9, 9, 9, 8, 5, 9, 9, 6, 8, 8, 4, 8, 1, 0, 1, 8, 8, 6, 5, 9, 0, 6, 1, 2, 6, 6, 3, 5, 6, 5, 5, 3, 3, 6, 8, 9, 4, 4, 3, 8, 3, 6, 0, 8, 5, 7, 8, 4, 6, 5, 3, 1, 8, 3, 0, 4, 4, 3, 3, 5, 3, 3, 2, 7, 7, 8, 2, 0, 5, 5, 6, 1, 1, 3, 9, 9, 3, 6, 7, 1, 8, 3, 9, 8, 7, 8, 8, 0, 3, 2, 4, 8, 7, 5, 7, 1, 8, 7, 3, 5, 4, 4, 3, 8, 6, 1, 1, 6, 3, 2, 2, 8, 9, 8, 3, 3, 8, 1, 1, 0, 5, 2, 0, 5, 0, 5, 8, 6, 3, 9, 6, 6, 3, 9, 4, 8, 3, 4, 3, 1, 1, 2, 9, 7, 8, 5, 5, 8, 6, 9, 0, 8, 3, 5, 1, 3, 3, 5, 5, 3, 8, 1, 4, 6, 4, 2, 4, 3, 8, 9, 6, 6, 6, 5, 5, 2, 7, 7, 4, 4, 9, 3, 8, 3, 7, 7, 8, 5, 3, 9, 1, 6, 7, 3, 3, 3, 8, 5, 6, 1, 3, 7, 9, 6, 1, 6, 4, 9, 0, 5, 7, 4, 9, 1, 0, 0, 2, 7, 8, 3, 2, 7, 6, 1, 6, 6, 4, 4, 2, 1, 8, 4, 4, 7, 8, 5, 8, 9, 4, 3, 2, 2, 9, 3, 0, 1, 1, 1, 1, 6, 8, 7, 1, 3, 0, 4, 5, 0, 3, 0, 6, 2, 0, 9, 8, 6, 8, 5, 8, 2, 9, 6, 0, 6, 1, 8, 7, 3, 2, 2, 6, 5, 6, 9, 2, 5, 4, 9, 8, 5, 3, 9, 3, 5, 7, 1, 8, 5, 8, 6, 2, 5, 1, 3, 0, 4, 1, 9, 5, 4, 9, 2, 1, 4, 2, 5, 9, 8, 7, 2, 1, 6, 9, 7, 3, 6, 5, 8, 0, 2, 2, 4, 9, 0, 5, 5, 4, 2, 3, 1, 0, 3, 0, 4, 4, 9, 1, 3, 3, 0, 2, 1, 1, 0, 4, 1, 9, 4, 8, 1, 1, 1, 5, 9, 8, 1, 6, 7, 2, 9, 9, 7, 8, 8, 1, 9, 7, 8, 9, 1, 6, 6, 3, 3, 1, 3, 0, 8, 8, 3, 6, 6, 7, 1, 0, 7, 6, 4, 8, 2, 0, 6, 6, 8, 6, 3, 1, 1, 8, 6, 7, 0, 5, 4, 3, 2, 1, 7, 8, 2, 0, 1, 7, 4, 8, 7, 6, 6, 7, 0, 6, 4, 9, 2, 3, 2, 1, 3, 8, 6, 8, 1, 9, 6, 7, 6, 5, 0, 6, 0, 1, 3, 1, 1, 5, 3, 4, 3, 3, 8, 1, 6, 6, 1, 8, 8, 6, 2, 7, 4, 6, 8, 9, 3, 3, 5, 5, 3, 1, 4, 1, 9, 5, 1, 7, 7, 7, 5, 2, 3, 3, 6, 6, 6, 4, 0, 7, 1, 7, 3, 0, 8, 1, 2, 4, 1, 2, 2, 4, 9, 8, 2, 8, 7, 6, 3, 4, 7, 2, 3, 1, 5, 3, 0, 4, 3, 4, 9, 4, 7, 9, 1, 7, 8, 3, 1, 8, 3, 2, 5, 7, 2, 7, 9, 6, 8, 6, 8, 6, 5, 9, 0, 4, 8, 5, 6, 4, 3, 8, 0, 4, 8, 6, 7, 2, 7, 1, 7, 4, 1, 2, 4, 2, 2, 8, 7, 2, 2, 6, 7, 5, 6, 8, 9, 9, 6, 5, 2, 9, 8, 7, 2, 3, 3, 7, 4, 3, 2, 1, 9, 0, 1, 5, 3, 2, 6, 5, 9, 1, 5, 4, 3, 6, 2, 8, 9, 7, 8, 0, 8, 9, 1, 2, 5, 7, 2, 0, 6, 6, 1, 6, 3, 1, 5, 0, 3, 7, 4, 6, 5, 6, 4, 8, 3, 4, 5, 5, 0, 6, 6, 7, 5, 0, 9, 9, 6, 1, 0, 4, 6, 3, 6, 9, 3, 6, 6, 8, 2, 1, 0, 1, 9, 3, 7, 4, 3, 0, 2, 7, 6, 4, 3, 0, 8, 2, 0, 0, 9, 6, 6, 6, 8, 7, 4, 1, 8, 1, 2, 2, 4, 8, 5, 2, 6, 5, 3, 9, 1, 0, 7, 2, 4, 4, 0, 0, 6, 2, 2, 4, 0, 5, 9, 7, 1, 8, 4, 5, 5, 9, 8, 5, 7, 8, 0, 9, 8, 9, 1, 6, 3, 8, 0, 3, 4, 4, 8, 4, 8, 9, 8, 6, 0, 0, 8, 2, 7, 4, 2, 5, 6, 0, 5, 8, 4, 1, 9, 0, 1, 4, 4, 8, 4, 9, 6, 0, 7, 7, 6, 8, 9, 6, 2, 0, 4, 9, 4, 9, 3, 9, 6, 6, 7, 0, 9, 7, 1, 8, 6, 0, 6, 7, 4, 1, 9, 4, 6, 7, 9, 8, 3, 9, 2, 1, 2, 7, 6, 1, 0, 0, 5, 6, 0, 4, 3, 2, 8, 8, 0, 6, 9, 5, 2, 8, 7, 0, 6, 5, 9, 7, 2, 3, 6, 9, 6, 2, 2, 4, 1, 0, 5, 0, 8, 9, 3, 5, 9, 3, 8, 1, 6, 3, 7, 5, 6, 2, 0, 2, 8, 2, 8, 7, 7, 8, 1, 0, 8, 9, 7, 0, 3, 8, 0, 5, 9, 5, 8, 4, 2, 0, 9, 2, 2, 4, 4, 9, 2, 2, 2, 5, 1, 3, 2, 0, 0, 4, 0, 6, 5, 8, 0, 5, 8, 6, 4, 8, 5, 2, 9, 7, 9, 7, 1, 0, 1, 9, 6, 9, 2, 7, 9, 4, 4, 0, 6, 2, 4, 1, 3, 7, 2, 8, 5, 9, 0, 3, 2, 3, 2, 7, 6, 3, 2, 5, 9, 0, 5, 9, 9, 8, 7, 7, 4, 8, 6, 5, 2, 3, 1, 0, 4, 1, 8, 8, 4, 9, 4, 4, 3, 3, 9, 2, 0, 1, 1, 8, 4, 4, 8, 3, 2, 9, 5, 7, 6, 2, 5, 4, 7, 3, 3, 9, 0, 1, 5, 9, 3, 7, 6, 0, 4, 2, 2, 5, 6, 3, 8, 9, 5, 6, 1, 4, 5, 4, 6, 7, 2, 1, 0, 2, 0, 4, 9, 8, 8, 9, 1, 1, 5, 0, 0, 8, 7, 1, 7, 4, 5, 4, 3, 3, 2, 0, 6, 6, 0, 1, 3, 9, 8, 3, 7, 8, 9, 4, 8, 9, 0, 9, 7, 1, 6, 2, 9, 5, 6, 9, 3, 9, 8, 7, 7, 1, 6, 5, 3, 1, 3, 1, 2, 7, 1, 8, 2, 0, 9, 7, 9, 8, 8, 6, 7, 3, 7, 1, 3, 9, 0, 9, 3, 6, 7, 2, 7, 3, 0, 5, 9, 7, 5, 5, 0, 6, 5, 1, 8, 2, 7, 5, 9, 0, 0, 0, 8, 8, 7, 3, 7, 8, 9, 3, 7, 9, 7, 8, 7, 9, 8, 5, 4, 8, 3, 7, 6, 3, 8, 2, 1, 9, 5, 7, 3, 9, 5, 5, 8, 7, 3, 5, 3, 5, 9, 7, 6, 7, 3, 6, 4, 3, 9, 4, 2, 1, 9, 6, 0, 2, 6, 7, 4, 7, 9, 0, 7, 4, 3, 5, 3, 1, 1, 2, 6, 8, 2, 1, 7, 8, 5, 9, 6, 1, 1, 5, 0, 6, 0, 9, 2, 6, 5, 8, 9, 5, 5, 6, 2, 9, 1, 5, 8, 8, 7, 1, 7, 3, 5, 4, 9, 7, 5, 2, 9, 9, 4, 7, 4, 1, 3, 8, 7, 9, 0, 4, 5, 7, 5, 2, 8, 7, 6, 9, 6, 9, 3, 8, 5, 6, 6, 9, 5, 7, 8, 0, 5, 0, 7, 4, 8, 2, 5, 1, 3, 2, 2, 6, 2, 1, 7, 4, 6, 3, 1, 3, 7, 2, 1, 3, 7, 0, 8, 4, 4, 5, 7, 9, 5, 4, 3, 9, 6, 8, 2, 3, 3, 1, 6, 1, 7, 0, 3, 4, 2, 9, 4, 5, 8, 2, 7, 0, 9, 6, 8, 0, 8, 2, 8, 5, 7, 7, 2, 2, 0, 0, 0, 7, 4, 1, 6, 6, 8, 8, 9, 0, 9, 0, 1, 3, 3, 0, 9, 6, 6, 2, 6, 3, 4, 0, 8, 4, 1, 4, 0, 6, 5, 0, 9, 9, 9, 9, 1, 2, 3, 5, 4, 2, 9, 6, 0, 9, 6, 6, 8, 0, 6, 1, 4, 6, 8, 0, 5, 4, 1, 2, 0, 9, 6, 4, 2, 4, 6, 5, 9, 7, 7, 4, 6, 5, 0, 1, 9, 0, 3, 1, 9, 0, 9, 7, 8, 6, 7, 6, 8, 2, 4, 5, 3, 0, 3, 2, 1, 7, 5, 9, 3, 4, 5, 7, 1, 5, 0, 1, 1, 1, 9, 7, 5, 4, 9, 7, 8, 1, 0, 2, 8, 5, 6, 7, 0, 1, 4, 8, 4, 4, 6, 6, 5, 8, 1, 8, 4, 6, 5, 9, 2, 2, 1, 4, 9, 1, 6, 7, 2, 0, 1, 7, 6, 5, 2, 2, 5, 6, 0, 9, 0, 1, 5, 3, 3, 5, 8, 7, 5, 6, 5, 8, 0, 5, 9, 4, 6, 5, 1, 1, 0, 3, 3, 9, 4, 8, 1, 7, 7, 9, 9, 4, 3, 6, 3, 2, 8, 2, 7, 6, 7, 0, 2, 1, 2, 9, 4, 6, 9, 6, 1, 0, 1, 8, 7, 0, 0, 4, 7, 4, 2, 6, 9, 5, 9, 0, 7, 4, 5, 8, 1, 4, 7, 9, 9, 8, 8, 6, 3, 7, 0, 8, 9, 6, 2, 4, 6, 2, 9, 7, 4, 6, 8, 5, 6, 1, 3, 5, 9, 9, 1, 3, 2, 0, 3, 0, 2, 0, 7, 3, 9, 3, 5, 7, 6, 5, 9, 5, 6, 1, 2, 4, 0, 2, 7, 8, 4, 4, 0, 9, 5, 9, 2, 9, 3, 2, 4, 3, 2, 2, 8, 8, 6, 8, 1, 6, 8, 9, 8, 2, 1, 4, 9, 1, 5, 7, 1, 6, 0, 1, 5, 2, 8, 1, 1, 3, 8, 1, 3, 1, 8, 5, 1, 9, 0, 3, 0, 4, 0, 5, 1, 2, 0, 4, 9, 5, 1, 2, 2, 7, 8, 7, 2, 4, 5, 3, 4, 0, 6, 1, 5, 9, 8, 0, 2, 0, 7, 6, 0, 5, 9, 7, 5, 0, 4, 6, 0, 6, 3, 6, 8, 1, 1, 8, 9, 7, 2, 9, 0, 2, 2, 9, 0, 6, 5, 7, 7, 9, 1, 7, 9, 8, 4, 5, 0, 8, 0, 2, 5, 2, 1, 4, 4, 8, 9, 7, 8, 3, 6, 6, 0, 1, 1, 1, 8, 1, 4, 4, 0, 7, 8, 2, 1, 2, 5, 4, 6, 0, 5, 7, 4, 4, 3, 9, 5, 8, 8, 0, 8, 7, 4, 1, 8, 4, 9, 5, 4, 1, 7, 7, 7, 7, 0, 3, 8, 3, 3, 0, 5, 7, 0, 8, 0, 0, 9, 2, 2, 3, 4, 8, 2, 2, 6, 3, 3, 6, 2, 9, 4, 0, 1, 7, 5, 5, 7, 3, 0, 4, 2, 0, 7, 5, 8, 0, 8, 2, 7, 0, 3, 5, 3, 8, 3, 5, 1, 7]\n",
            "shape of x_data :  (10000, 32, 32, 3)\n"
          ]
        }
      ],
      "source": [
        "test_data = []\n",
        "print(\"Keys of dictionary\",test_batch.keys())\n",
        "print(test_batch[b'batch_label'])\n",
        "print(\"labels : \",test_batch[b'labels'])\n",
        "y_data = test_batch[b'labels']\n",
        "\n",
        "x_data = test_batch[b'data']\n",
        "x_data = x_data.reshape(len(x_data),3,32,32).transpose(0,2,3,1)\n",
        "print(\"shape of x_data : \",x_data.shape)\n",
        "\n",
        "for i in range(len(y_data)):\n",
        "  test_data.append((x_data[i],y_data[i]))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ez3BVJ7cluWV",
        "outputId": "91abce43-d466-4f21-f3b7-6ae179b4e75b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "10000\n",
            "(32, 32, 3) 3\n"
          ]
        }
      ],
      "source": [
        "print(len(test_data))\n",
        "x,y = test_data[0]\n",
        "print(x.shape,y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qcVHecICqo5J"
      },
      "outputs": [],
      "source": [
        "hog_features_list = []\n",
        "labels_list = []\n",
        "\n",
        "for i in tqdm(range(50000)):\n",
        "    X, y = train_data[i]\n",
        "    fd = hog(X, orientations=9, pixels_per_cell=(8, 8), cells_per_block=(2, 2), multichannel=True)\n",
        "    hog_features_list.append(fd)\n",
        "    labels_list.append(y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mkZzvEu2sdQ2"
      },
      "outputs": [],
      "source": [
        "X_train = np.array(hog_features_list)\n",
        "y_train = np.array(labels_list)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "V3XOhFZwt4yX",
        "outputId": "25ccf2f9-5cdb-4b77-b179-2d01d7846568"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(50000, 324)"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "X_train.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "xg-YdJKasj4i"
      },
      "outputs": [],
      "source": [
        "hog_features_list_test = []\n",
        "labels_list_test = []\n",
        "\n",
        "for i in tqdm(range(10000)):\n",
        "    X,y = test_data[i]\n",
        "    fd= hog(X, orientations=9, pixels_per_cell=(8, 8),cells_per_block=(2, 2), multichannel=True)\n",
        "    hog_features_list_test.append(fd)\n",
        "    labels_list_test.append(y)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0jN-jD4PsuWj"
      },
      "outputs": [],
      "source": [
        "X_test = np.array(hog_features_list_test)\n",
        "y_test = np.array(labels_list_test)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mQBJugZenJdx"
      },
      "source": [
        "##Implmenting KNN"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "k1DueIglnIpM"
      },
      "outputs": [],
      "source": [
        "from tqdm import tqdm\n",
        "\n",
        "def find_knn(X_train, X_test, y_train, y_test, k_value:int=11):\n",
        "    results = [[] for _ in range(k_value)]\n",
        "\n",
        "    correct = 0\n",
        "\n",
        "    for point_idx, point in enumerate(tqdm(X_test, desc='Testing')):\n",
        "        distance_with_label_and_index = []\n",
        "\n",
        "        for i, train_point in enumerate(X_train):\n",
        "            distance_with_label_and_index.append(((y_train[i], i), np.linalg.norm(point - train_point)))\n",
        "\n",
        "        distance_with_label_and_index_sorted = sorted(distance_with_label_and_index, key=lambda x: x[1])\n",
        "        k_nearest_points = distance_with_label_and_index_sorted[:k_value]\n",
        "\n",
        "        for idx, ((label, index), distance) in enumerate(k_nearest_points):\n",
        "            if label == y_test[point_idx]:\n",
        "                correct += 1\n",
        "            results[idx].append((label, index))\n",
        "\n",
        "    return results, correct / (k_value * len(X_test))\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p7oZZ_kv5kjz",
        "outputId": "499b55e4-d933-4e4d-a0c6-238e8ef3bee1"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Testing: 100%|██████████| 10000/10000 [1:02:10<00:00,  2.68it/s]\n"
          ]
        }
      ],
      "source": [
        "results,accuracy = find_knn(X_train,X_test,y_train,y_test)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Qp62OuM0jtsl",
        "outputId": "cfd06161-00b4-4111-f5e3-71fb4562a956"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "0.4021818181818182"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "accuracy"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}