Binary Matrix Multiplication with OR Instead of Sum

Question

I am trying to determine how to perform binary matrix multiplication in Python / Numpy / Scipy where instead of plus (addition), OR is used, meaning when we "multiply" the two matrices below

1  0
1  1
0  1

1  1  0
0  1  1

we should get

[[1., 1., 0],
[1., 1., 1.],
[0, 1., 1.]]

Any ideas?

Answer 1

> a = np.matrix([[1,1,0],[0,1,1]], dtype=bool)
> a.T * a 
matrix([[ True,  True, False],
        [ True,  True,  True],
        [False,  True,  True]], dtype=bool)

Normal numpy arrays have access to matrix-style multiplication via the dot function.