Source code for mars.tensor.arithmetic.logical_not

#!/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.
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# 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 infer_dtype
from .core import TensorUnaryOp
from .utils import arithmetic_operand

class TensorNot(TensorUnaryOp):
    _op_type_ = OperandDef.NOT
    _func_name = "logical_not"

[docs]@infer_dtype(np.logical_not) def logical_not(x, out=None, where=None, **kwargs): """ Compute the truth value of NOT x element-wise. Parameters ---------- x : array_like Logical NOT is applied to the elements of `x`. 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 ------- y : bool or Tensor of bool Boolean result with the same shape as `x` of the NOT operation on elements of `x`. See Also -------- logical_and, logical_or, logical_xor Examples -------- >>> import mars.tensor as mt >>> mt.logical_not(3).execute() False >>> mt.logical_not([True, False, 0, 1]).execute() array([False, True, True, False]) >>> x = mt.arange(5) >>> mt.logical_not(x<3).execute() array([False, False, False, True, True]) """ op = TensorNot(**kwargs) return op(x, out=out, where=where)