Partial "visual" Matching of matrices

[DeaD_EyE]

from itertools import chain


# converting your input data to a valid Python object:
A = """
1 0 1 1 1 0 0 1
1 0 0 1 1 0 0 1
1 0 1 0 0 0 0 0
1 0 0 0 1 0 0 1
""".strip()

B = """
0 1 0 0 1 0 0 1
1 1 0 0 0 0 0 1
1 1 1 0 0 0 0 1
1 0 1 0 1 0 0 1
""".strip()

C = """
1 0 1 0 1 0 0 1
1 0 1 1 1 0 0 1
1 0 1 0 0 0 0 1
1 1 0 0 1 0 0 1
""".strip()


# nested list comprehension to create the matrix
a = [[int(d) for d in a.split()] for a in A.splitlines()]
b = [[int(d) for d in b.split()] for b in B.splitlines()]
c = [[int(d) for d in c.split()] for c in C.splitlines()]


# here are the functions

def equality1(matrix1, matrix2):
    result = 0
    for row1, row2 in zip(matrix1, matrix2):
        for col1, col2 in zip(row1, row2):
            if col1 == col2:
                result += 1
    return result


def equality2(matrix1, matrix2):
    result = 0
    for m1, m2 in zip(chain.from_iterable(matrix1), chain.from_iterable(matrix2)):
        if m1 == m2:
            result += 1
    return result

You don't have to understand the upper part with the nested list comprehensions.
The function equality1 and equality2 should be descriptive enough, to understand it.