#!/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 inject_dtype from .core import TensorUnaryOp from .utils import arithmetic_operand @arithmetic_operand(sparse_mode='unary') class TensorIsComplex(TensorUnaryOp): _op_type_ = OperandDef.ISCOMPLEX _func_name = 'iscomplex' [docs]@inject_dtype(np.bool_) def iscomplex(x, **kwargs): """ Returns a bool tensor, where True if input element is complex. What is tested is whether the input has a non-zero imaginary part, not if the input type is complex. Parameters ---------- x : array_like Input tensor. Returns ------- out : Tensor of bools Output tensor. See Also -------- isreal iscomplexobj : Return True if x is a complex type or an array of complex numbers. Examples -------- >>> import mars.tensor as mt >>> mt.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j]).execute() array([ True, False, False, False, False, True]) """ op = TensorIsComplex(**kwargs) return op(x)