numpy.lcm
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numpy.lcm(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'lcm'>
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Returns the lowest common multiple of
|x1|
and|x2|
Parameters: -
x1, x2 : array_like, int
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Arrays of values
Returns: -
y : ndarray or scalar
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The lowest common multiple of the absolute value of the inputs This is a scalar if both
x1
andx2
are scalars.
See also
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gcd
- The greatest common divisor
Examples
>>> np.lcm(12, 20) 60 >>> np.lcm.reduce([3, 12, 20]) 60 >>> np.lcm.reduce([40, 12, 20]) 120 >>> np.lcm(np.arange(6), 20) array([ 0, 20, 20, 60, 20, 20])
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Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.15.4/reference/generated/numpy.lcm.html