mxnet.np.gcd¶
-
gcd
(x1, x2, out=None, **kwargs)¶ Returns the greatest common divisor of
|x1|
and|x2|
- Parameters
x2 (x1,) – The arrays for computing greatest common divisor. If x1.shape != x2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other).
out (ndarray or None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.
- 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
gcd()
The lowest common multiple
Examples
>>> np.gcd(12, 20) 4 >>> np.gcd(np.arange(6, dtype=int), 20) array([20, 1, 2, 1, 4, 5], dtype=int64)
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