A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from https://numpy.org/devdocs/reference/generated/numpy.gcd.html below:

numpy.gcd — NumPy v2.4.dev0 Manual

numpy.gcd#
numpy.gcd(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature]) = <ufunc 'gcd'>#

Returns the greatest common divisor of |x1| and |x2|

Parameters:
x1, x2array_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).

Returns:
yndarray or scalar

The greatest common divisor of the absolute value of the inputs This is a scalar if both x1 and x2 are scalars.

See also

lcm

The lowest common multiple

Examples

>>> import numpy as np
>>> np.gcd(12, 20)
4
>>> np.gcd.reduce([15, 25, 35])
5
>>> np.gcd(np.arange(6), 20)
array([20,  1,  2,  1,  4,  5])

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4