import struct
from numpy import *

class DataLoad:
    #Parse test and train labels
    def parse_labels(fileName):
        filePath = "./dataset/" + fileName
        with open(filePath, "rb") as binary_file:
            data = binary_file.read()
        magic, n = struct.unpack_from('>2i', data)
        assert magic == 2049, "Wrong magic number: %d" % magic


        labels = struct.unpack_from('>%dB' % n, data, offset=8)
        return labels


    #Parse test and train images
    def parse_images(fileName):
        filePath= "./dataset/"+fileName
        with open(filePath, "rb") as binary_file:
            data = binary_file.read()
        magic, n, rows, cols = struct.unpack_from('>4i', data)
        assert magic == 2051, "Wrong magic number: %d" % magic


        num_pixels = n * rows * cols
        pixels = struct.unpack_from('>%dB' % num_pixels, data, offset=16)

        pixels = asarray(pixels, dtype=ubyte)

        images = pixels.reshape((n, cols, rows))
        return images


a2595763434373b343d26f7e140af90688dc8320
<mask token>

<mask token>


class DataLoad:

    def parse_labels(fileName):
        filePath = './dataset/' + fileName
        with open(filePath, 'rb') as binary_file:
            data = binary_file.read()
        magic, n = struct.unpack_from('>2i', data)
        assert magic == 2049, 'Wrong magic number: %d' % magic
        labels = struct.unpack_from('>%dB' % n, data, offset=8)
        return labels
    <mask token>

<mask token>


class DataLoad:

    def parse_labels(fileName):
        filePath = './dataset/' + fileName
        with open(filePath, 'rb') as binary_file:
            data = binary_file.read()
        magic, n = struct.unpack_from('>2i', data)
        assert magic == 2049, 'Wrong magic number: %d' % magic
        labels = struct.unpack_from('>%dB' % n, data, offset=8)
        return labels

    def parse_images(fileName):
        filePath = './dataset/' + fileName
        with open(filePath, 'rb') as binary_file:
            data = binary_file.read()
        magic, n, rows, cols = struct.unpack_from('>4i', data)
        assert magic == 2051, 'Wrong magic number: %d' % magic
        num_pixels = n * rows * cols
        pixels = struct.unpack_from('>%dB' % num_pixels, data, offset=16)
        pixels = asarray(pixels, dtype=ubyte)
        images = pixels.reshape((n, cols, rows))
        return images

import struct
from numpy import *


class DataLoad:

    def parse_labels(fileName):
        filePath = './dataset/' + fileName
        with open(filePath, 'rb') as binary_file:
            data = binary_file.read()
        magic, n = struct.unpack_from('>2i', data)
        assert magic == 2049, 'Wrong magic number: %d' % magic
        labels = struct.unpack_from('>%dB' % n, data, offset=8)
        return labels

    def parse_images(fileName):
        filePath = './dataset/' + fileName
        with open(filePath, 'rb') as binary_file:
            data = binary_file.read()
        magic, n, rows, cols = struct.unpack_from('>4i', data)
        assert magic == 2051, 'Wrong magic number: %d' % magic
        num_pixels = n * rows * cols
        pixels = struct.unpack_from('>%dB' % num_pixels, data, offset=16)
        pixels = asarray(pixels, dtype=ubyte)
        images = pixels.reshape((n, cols, rows))
        return images

import struct
from numpy import *

class DataLoad:
    #Parse test and train labels
    def parse_labels(fileName):
        filePath = "./dataset/" + fileName
        with open(filePath, "rb") as binary_file:
            data = binary_file.read()
        magic, n = struct.unpack_from('>2i', data)
        assert magic == 2049, "Wrong magic number: %d" % magic


        labels = struct.unpack_from('>%dB' % n, data, offset=8)
        return labels


    #Parse test and train images
    def parse_images(fileName):
        filePath= "./dataset/"+fileName
        with open(filePath, "rb") as binary_file:
            data = binary_file.read()
        magic, n, rows, cols = struct.unpack_from('>4i', data)
        assert magic == 2051, "Wrong magic number: %d" % magic


        num_pixels = n * rows * cols
        pixels = struct.unpack_from('>%dB' % num_pixels, data, offset=16)

        pixels = asarray(pixels, dtype=ubyte)

        images = pixels.reshape((n, cols, rows))
        return images

