# Source code for mars.tensor.arithmetic.signbit

#!/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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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import numpy as np
from ... import opcodes as OperandDef
from ..utils import inject_dtype
from .core import TensorUnaryOp
from .utils import arithmetic_operand
@arithmetic_operand(sparse_mode="unary")
class TensorSignbit(TensorUnaryOp):
_op_type_ = OperandDef.SIGNBIT
_func_name = "signbit"
[docs]@inject_dtype(np.bool_)
def signbit(x, out=None, where=None, **kwargs):
"""
Returns element-wise True where signbit is set (less than zero).
Parameters
----------
x : array_like
The input value(s).
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
-------
result : Tensor of bool
Output tensor, or reference to `out` if that was supplied.
Examples
--------
>>> import mars.tensor as mt
>>> mt.signbit(-1.2).execute()
True
>>> mt.signbit(mt.array([1, -2.3, 2.1])).execute()
array([False, True, False])
"""
op = TensorSignbit(**kwargs)
return op(x, out=out, where=where)