Source code for mars.tensor.arithmetic.nextafter

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 Alibaba Group Holding Ltd.
# 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np

from ... import opcodes as OperandDef
from ..utils import infer_dtype
from .core import TensorBinOp
from .utils import arithmetic_operand

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)