I am implementing an algorithm that has a high execution time and I need to use all the cpu power for a part of the code that involves heavy processing. I have written it in the form of a function, but I have encountered problems in executing it as a multiprocessing.

import multiprocessing as mp
import os
shape = (len(ta52))
g5 = np.zeros(shape)
shape = (5,len(ta52))
g6 = np.zeros(shape)
m=0
def test(ta52):
    m=0
    for i in ta52:
        s11=[]
        for j in s1:
            s11.append(sum(c1!=c2 for c1,c2 in zip(i,j)))
        s12=[]
        for j in s2:
            s12.append(sum(c1!=c2 for c1,c2 in zip(i,j)))
        s13=[]
        for j in s3:
            s13.append(sum(c1!=c2 for c1,c2 in zip(i,j)))
        s14=[]
        for j in s4:
            s14.append(sum(c1!=c2 for c1,c2 in zip(i,j)))
        s15=[]
        for j in s5:
            s15.append(sum(c1!=c2 for c1,c2 in zip(i,j)))
        sp=min(s11)+min(s12)+min(s13)+min(s14)+min(s15)
        g5[m]=sp
        g6[0,m]=min(s11)
        g6[1,m]=min(s12)
        g6[2,m]=min(s13)
        g6[3,m]=min(s14)
        g6[4,m]=min(s15)
        m=m+1
if __name__ == '__main__':
    p = mp.Process(target=test)
    p.start()
    print('Waiting for mp_func to end')
    p.join()
#print(g5)
stop = timeit.default_timer()
print('Time: ', stop - start) 

and result is:
Waiting for mp_func to end
Time: 0.17289580000000626
But my test function doesn’t run.