`numpy:lcm`

Summary

Returns the lowest common multiple of |x1| and |x2|

x1, x2 : array_like, int: Arrays of values. If x1.shape != x2.shape, they must be broadcastable to a common shape (which becomes the shape of the output).

y : ndarray or scalar: The lowest common multiple of the absolute value of the inputs This is a scalar if both x1 and x2 are scalars.

import numpy as np

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np.lcm(12, 20)
np.lcm.reduce([3, 12, 20])
np.lcm.reduce([40, 12, 20])

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np.lcm(np.arange(6), 20)

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