# Source code for mars.tensor.arithmetic.nextafter

#!/usr/bin/env python
# -*- coding: utf-8 -*-
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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
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import numpy as np
from ... import opcodes as OperandDef
from ..utils import infer_dtype
from .core import TensorBinOp
from .utils import arithmetic_operand
@arithmetic_operand(sparse_mode="binary_and")
class TensorNextafter(TensorBinOp):
_op_type_ = OperandDef.NEXTAFTER
_func_name = "nextafter"
[docs]@infer_dtype(np.nextafter)
def nextafter(x1, x2, out=None, where=None, **kwargs):
"""
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 : array_like
The next representable values of `x1` in the direction of `x2`.
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])
"""
op = TensorNextafter(**kwargs)
return op(x1, x2, out=out, where=where)