I want to use multiprocessing to improve the time execution of the following function:

def verif(mat1,tab):
    import numpy as np
    mat=np.matrix(mat1)
    t=1
    leng=len(mat)
    mm=mat+np.eye(leng)
    for u in range(leng-1):
        for v in range(u+1,leng):
            if ( np.all(mm[tab,u]==0) | np.all(mm[tab,v]==0)):
                t=0
                break
            else:
                if np.array_equal(mm[tab,u],mm[tab,v]):
                    t=0
                    break
                
        if t==0:
            break
    return t

It’s a brute force program which test all column combination of the matrix ‘mm’.

multiprocessing rewriting of the above code.

I am trying to add this function :

def check_pair(mm, tab, u, leng):
    for v in range(u + 1, leng):
        if np.all(mm[tab, u] == 0) or np.all(mm[tab, v] == 0):
            return False
        if np.array_equal(mm[tab, u], mm[tab, v]):
            return False
    return True,  

But, I don’t know how I can use it in multiprocessing