#!/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,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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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


@arithmetic_operand(sparse_mode="unary")
class TensorPositive(TensorUnaryOp):
    _op_type_ = OperandDef.POSITIVE
    _func_name = "positive"


@infer_dtype(np.positive)
def positive(x, out=None, where=None, **kwargs):
    """
    Numerical positive, element-wise.

    Parameters
    ----------
    x : array_like or scalar
        Input tensor.

    Returns
    -------
    y : Tensor or scalar
        Returned array or scalar: `y = +x`.
    """
    op = TensorPositive(**kwargs)
    return op(x, out=out, where=where)
