import numpy as np


def read_input_file(file, matrix):
    i = 0
    for line in file:
        list_line = line.split(',')
        for j, c in enumerate(list_line):
            matrix[i, j] = int(c)
        i += 1

    return matrix


def read_output_file(file, matrix):
    i = 0
    for line in file:
        matrix[i, 0] = int(line[:1])
        i += 1

    return matrix


training_input = read_input_file(open('binMNIST_data/bindigit_trn.csv'), np.zeros(shape=(8000, 784)))
testing_input = read_input_file(open('binMNIST_data/bindigit_tst.csv'), np.zeros(shape=(2000, 784)))
training_out = read_output_file(open('binMNIST_data/targetdigit_trn.csv'), np.zeros(shape=(8000, 1)))
testing_out = read_output_file(open('binMNIST_data/targetdigit_tst.csv'), np.zeros(shape=(2000, 1)))

for i in range(28):
    for j in range(28):
        print(str(int(training_input[7999, 28*i+j])), end='')
    print()