# Source code for mars.tensor.arithmetic.reciprocal

```#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2021 Alibaba Group Holding Ltd.
#
# 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
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and

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 TensorReciprocal(TensorUnaryOp):
_op_type_ = OperandDef.RECIPROCAL
_func_name = "reciprocal"

[docs]@infer_dtype(np.reciprocal)
def reciprocal(x, out=None, where=None, **kwargs):
"""
Return the reciprocal of the argument, element-wise.

Calculates ``1/x``.

Parameters
----------
x : array_like
Input tensor.
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 : Tensor
Return tensor.

Notes
-----
.. note::
This function is not designed to work with integers.

For integer arguments with absolute value larger than 1 the result is
always zero because of the way Python handles integer division.  For
integer zero the result is an overflow.

Examples
--------
>>> import mars.tensor as mt

>>> mt.reciprocal(2.).execute()
0.5
>>> mt.reciprocal([1, 2., 3.33]).execute()
array([ 1.       ,  0.5      ,  0.3003003])
"""
op = TensorReciprocal(**kwargs)
return op(x, out=out, where=where)
```