In [1]:

    

import numpy as np


    

In [2]:

    

a = np.arange(10)
print(a)


    

    




[0 1 2 3 4 5 6 7 8 9]

In [3]:

    

a_0 = a[::2]
print(a_0)


    

    




[0 2 4 6 8]

In [4]:

    

a_1 = a[1::2]
print(a_1)


    

    




[1 3 5 7 9]

In [5]:

    

print(np.shares_memory(a_0, a_1))


    

    




False

In [6]:

    

print(np.may_share_memory(a_0, a_1))


    

    




True

In [7]:

    

a_2 = a[:5]
print(a_2)


    

    




[0 1 2 3 4]

In [8]:

    

a_3 = a[5:]
print(a_3)


    

    




[5 6 7 8 9]

In [9]:

    

print(np.shares_memory(a_2, a_3))


    

    




False

In [10]:

    

print(np.may_share_memory(a_2, a_3))


    

    




False

In [11]:

    

%%timeit
np.shares_memory(a_0, a_1)


    

    




839 ns ± 53.9 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)

In [12]:

    

%%timeit
np.may_share_memory(a_0, a_1)


    

    




275 ns ± 5 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)