dpnp.lcm

dpnp.lcm(x1, x2, out=None, where=True, order='K', dtype=None, subok=True, **kwargs)

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

For full documentation refer to numpy.lcm.

Parameters:

  • x1 ({dpnp.ndarray, usm_ndarray, scalar}) -- First input array, expected to have an integer data type. Both inputs x1 and x2 can not be scalars at the same time.

  • x2 ({dpnp.ndarray, usm_ndarray, scalar}) -- Second input array, also expected to have an integer data type. Both inputs x1 and x2 can not be scalars at the same time.

  • out ({None, dpnp.ndarray, usm_ndarray}, optional) -- Output array to populate. Array must have the correct shape and the expected data type. Default: None.

  • order ({"C", "F", "A", "K"}, optional) -- Memory layout of the newly output array, if parameter out is None. Default: "K".

Returns:

out -- The lowest common multiple of the absolute value of the inputs.

Return type:

dpnp.ndarray

See also

dpnp.gcd

The greatest common divisor.

Examples

>>> import dpnp as np
>>> np.lcm(np.array(12), 20)
array(60)
>>> np.lcm(np.arange(6), 20)
array([ 0, 20, 20, 60, 20, 20])