xorbits.numpy.gcd#

xorbits.numpy.gcd = <function wrap_fallback_module_method.<locals>._wrapped>#

gcd(x1, x2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])

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

Parameters

x1 (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).
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).

Returns

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

Return type

ndarray or scalar

See also

Examples

>>> 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])

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.