Python - Checking for common cooardinate between 3D ndarray and 2D ndarray without using loops! (Numpy)

Im trying to solve a problem in which I am given 2 ndarray of booleans . one of shape (n,m,z), denote as A, and the other (n,m), denote as B. If I am thinking of the 3D array as an array of 'z' 2D arrays, I would like to check if for every i between 0 and z, there is at least one coordinate [x,y] that: A[x,y,i] == B[x,y] == 1.

for example: let A be

np.array([[[1,0,0],
                [0,1,0],
                [0,0,1]]
               ,
               [[0,1,0],
                [0,1,0],
                [0,1,0]],

               [[1,0,0],
                [0,1,0],
                [0,0,1]]])

and B be:

> [[1,0,0],
   [0,1,0],
   [0,0,1]])

The function should return True!

I need to solve it without any loops (just numpy tools)!

Thank you in advance.

source https://stackoverflow.com/questions/72071507/python-checking-for-common-cooardinate-between-3d-ndarray-and-2d-ndarray-witho

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