mars.tensor.nextafter#

mars.tensor.nextafter(x1, x2, out=None, where=None, **kwargs)[source]#

Return the next floating-point value after x1 towards x2, element-wise.

Parameters

  • x1 (array_like) – Values to find the next representable value of.

  • x2 (array_like) – The direction where to look for the next representable value of x1.

  • out (Tensor, None, or tuple of Tensor and 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 tensor is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

  • where (array_like, optional) – Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.

  • **kwargs –

Returns

out – The next representable values of x1 in the direction of x2.

Return type

array_like

Examples

>>> import mars.tensor as mt

>>> eps = mt.finfo(mt.float64).eps
>>> (mt.nextafter(1, 2) == eps + 1).execute()
True
>>> (mt.nextafter([1, 2], [2, 1]) == [eps + 1, 2 - eps]).execute()
array([ True,  True])