#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright 1999-2020 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 # limitations under the License. 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 TensorImag(TensorUnaryOp): _op_type_ = OperandDef.IMAG _func_name = 'imag' [文档]@infer_dtype(np.imag) def imag(val, **kwargs): """ Return the imaginary part of the complex argument. Parameters ---------- val : array_like Input tensor. Returns ------- out : Tensor or scalar The imaginary component of the complex argument. If `val` is real, the type of `val` is used for the output. If `val` has complex elements, the returned type is float. See Also -------- real, angle, real_if_close Examples -------- >>> import mars.tensor as mt >>> a = mt.array([1+2j, 3+4j, 5+6j]) >>> a.imag.execute() array([ 2., 4., 6.]) >>> a.imag = mt.array([8, 10, 12]) >>> a.execute() array([ 1. +8.j, 3.+10.j, 5.+12.j]) >>> mt.imag(1 + 1j).execute() 1.0 """ op = TensorImag(**kwargs) return op(val)