# Source code for mars.tensor.arithmetic.conj

#!/usr/bin/env python
# -*- coding: utf-8 -*-
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#
# 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
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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 TensorConj(TensorUnaryOp):
_op_type_ = OperandDef.CONJ
_func_name = "conj"
[docs]@infer_dtype(np.conj)
def conj(x, out=None, where=None, **kwargs):
"""
Return the complex conjugate, element-wise.
The complex conjugate of a complex number is obtained by changing the
sign of its imaginary part.
Parameters
----------
x : array_like
Input value.
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
The complex conjugate of `x`, with same dtype as `y`.
Examples
--------
>>> import mars.tensor as mt
>>> mt.conjugate(1+2j).execute()
(1-2j)
>>> x = mt.eye(2) + 1j * mt.eye(2)
>>> mt.conjugate(x).execute()
array([[ 1.-1.j, 0.-0.j],
[ 0.-0.j, 1.-1.j]])
"""
op = TensorConj(**kwargs)
return op(x, out=out, where=where)
conjugate = conj