import numpy as np
from numba import autojit, jit, void, double, int_

def doloop(X,Y,mm):
    for i in range(Y):
        xx = mm[:]
        x = 0
        for j in range(X):
            xx[x] = x
            x += 1
    return 1

looper = autojit(doloop)

if __name__ == '__main__':
    X = 1000
    Y = 10000000
    zz = np.random.random(X)
    looper(X, Y, zz)
    # zz = np.random.randint(0,9,X)
    # zz = [0 for i in range(X)]  # ... much slower than np array
    # doloop(X,1000000,zz)
    #
    # 10,000,000 takes 7.6 seconds with numba
    #  1,000,000   takes 166 seconds with python
    #  gain = 210 times