#  Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve.
#
#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 os
import signal
import paddle
import paddle.fluid as fluid

__all__ = ['AttrDict']


def _term(sig_num, addition):
    print('current pid is %s, group id is %s' % (os.getpid(), os.getpgrp()))
    os.killpg(os.getpgid(os.getpid()), signal.SIGKILL)


signal.signal(signal.SIGTERM, _term)
signal.signal(signal.SIGINT, _term)


class AttrDict(dict):
    def __getattr__(self, key):
        return self[key]

    def __setattr__(self, key, value):
        if key in self.__dict__:
            self.__dict__[key] = value
        else:
            self[key] = value

def check_cuda(use_cuda, err = \
    "\nYou can not set use_gpu = True in the model because you are using paddlepaddle-cpu.\n \
    Please: 1. Install paddlepaddle-gpu to run your models on GPU or 2. Set use_gpu = False to run models on CPU.\n"
                                                                                                                     ):
    try:
        if use_cuda == True and fluid.is_compiled_with_cuda() == False:
            print(err)
            sys.exit(1)
    except Exception as e:
        pass