In [1]:

    

import numpy as np


    

In [2]:

    

a = np.array([0, 2, 3, 6])
b = np.array([3, 4, 5, 15])


    

In [3]:

    

print(np.gcd(a, b))


    

    




[3 2 1 3]

In [4]:

    

print(type(np.gcd(a, b)))


    

    




<class 'numpy.ndarray'>

In [5]:

    

l_a = [0, 2, 3, 6]
l_b = [3, 4, 5, 14]


    

In [6]:

    

print(np.gcd(l_a, l_b))


    

    




[3 2 1 2]

In [7]:

    

print(type(np.gcd(l_a, l_b)))


    

    




<class 'numpy.ndarray'>

In [8]:

    

print(np.gcd(6, 15))


    

    




3

In [9]:

    

print(type(np.gcd(6, 15)))


    

    




<class 'numpy.int64'>

In [10]:

    

a_2d = np.array([[0, 2, 3, 6], [0, 2, 3, 6]])
print(a_2d)


    

    




[[0 2 3 6]
 [0 2 3 6]]

In [11]:

    

print(b)


    

    




[ 3  4  5 15]

In [12]:

    

print(a_2d + b)


    

    




[[ 3  6  8 21]
 [ 3  6  8 21]]

In [13]:

    

print(np.gcd(a_2d, b))


    

    




[[3 2 1 3]
 [3 2 1 3]]

In [14]:

    

a_mismatch = np.array([0, 1, 2])


    

In [15]:

    

# print(np.gcd(a_mismatch, b))
# ValueError: operands could not be broadcast together with shapes (3,) (4,)


    

In [16]:

    

print(np.gcd(a, 15))


    

    




[15  1  3  3]

In [17]:

    

print(np.gcd(15, a))


    

    




[15  1  3  3]