In [1]:

    

import numpy as np


    

In [2]:

    

a = np.array([0, 2, 3, 6])
b = np.array([3, 4, 5, 15])
c = np.array([6, 8, 9, 9])


    

In [3]:

    

print(np.gcd.reduce([a, b, c]))


    

    




[3 2 1 3]

In [4]:

    

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


    

    




[3 2 1 3]

In [5]:

    

print(np.lcm.reduce([a, b, c]))


    

    




[ 0  8 45 90]

In [6]:

    

print(np.gcd.reduce([6, 9, 12, 15]))


    

    




3

In [7]:

    

print(np.gcd.reduce((a, b, c)))


    

    




[3 2 1 3]

In [8]:

    

# print(np.gcd.reduce(a, b, c))
# TypeError: data type not understood


    

In [9]:

    

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


    

    




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

In [10]:

    

# print(np.gcd.reduce([a, b, a_2d]))
# ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


    

In [11]:

    

print(np.gcd(np.gcd(a, b), a_2d))


    

    




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

In [12]:

    

# print(np.gcd.reduce([a, b, 9]))
# ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()


    

In [13]:

    

print(np.gcd(np.gcd(a, b), 9))


    

    




[3 1 1 3]

In [14]:

    

a_1d = np.array([4, 6, 12])


    

In [15]:

    

print(np.gcd.reduce(a_1d))


    

    




2

In [16]:

    

print(np.lcm.reduce(a_1d))


    

    




12

In [17]:

    

a_2d = np.array([[4, 6, 12], [2, 12, 16]])
print(a_2d)


    

    




[[ 4  6 12]
 [ 2 12 16]]

In [18]:

    

print(np.gcd.reduce(a_2d))


    

    




[2 6 4]

In [19]:

    

print(np.gcd(a_2d[0], a_2d[1]))


    

    




[2 6 4]

In [20]:

    

print(a_2d.ravel())


    

    




[ 4  6 12  2 12 16]

In [21]:

    

print(np.gcd.reduce(a_2d.ravel()))


    

    




2

In [22]:

    

print(np.lcm.reduce(a_2d.ravel()))


    

    




48