"""simple docstring"""




# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# 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 argparse
import os

from accelerate.utils import ComputeEnvironment

from .cluster import get_cluster_input
from .config_args import cache_dir, default_config_file, default_yaml_config_file, load_config_from_file  # noqa: F401
from .config_utils import _ask_field, _ask_options, _convert_compute_environment  # noqa: F401
from .sagemaker import get_sagemaker_input


_a   :	List[str] 					=     'Launches a series of prompts to create and save a `default_config.yaml` configuration file for your training system. Should always be ran first on your machine'





def 							SCREAMING_SNAKE_CASE  (    ) ->   Union[str, Any]:
  _lowerCAmelCase		: Any						    =  _ask_options(
      """In which compute environment are you running?"""    ,["""This machine""", """AWS (Amazon SageMaker)"""]    ,_convert_compute_environment    ,)
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    _lowerCAmelCase		: str						    =  get_sagemaker_input()
  else:
    _lowerCAmelCase		: Union[str, Any]						    =  get_cluster_input()
  return config





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: List[Any]=None			) ->   Optional[Any]:
  if subparsers is not None:
    _lowerCAmelCase		: Union[str, Any]						    =  subparsers.add_parser("""config"""    ,description=_lowerCamelCase			)
  else:
    _lowerCAmelCase		: Tuple						    =  argparse.ArgumentParser("""Accelerate config command"""    ,description=_lowerCamelCase			)

  parser.add_argument(
      """--config_file"""    ,default=_lowerCamelCase    ,help=(
          """The path to use to store the config file. Will default to a file named default_config.yaml in the cache """
          """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
          """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
          """with 'huggingface'."""
      )    ,)

  if subparsers is not None:
    parser.set_defaults(func=_lowerCamelCase			)
  return parser





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Optional[int]			) ->   List[Any]:
  _lowerCAmelCase		: Optional[Any]						    =  get_user_input()
  if args.config_file is not None:
    _lowerCAmelCase		: Tuple						    =  args.config_file
  else:
    if not os.path.isdir(_lowerCamelCase			):
      os.makedirs(_lowerCamelCase			)
    _lowerCAmelCase		: List[Any]						    =  default_yaml_config_file

  if config_file.endswith(""".json"""			):
    config.to_json_file(_lowerCamelCase			)
  else:
    config.to_yaml_file(_lowerCamelCase			)
  print(f"accelerate configuration saved at {config_file}"			)





def 							SCREAMING_SNAKE_CASE  (    ) ->   int:
  _lowerCAmelCase		: List[str]						    =  config_command_parser()
  _lowerCAmelCase		: List[Any]						    =  parser.parse_args()
  config_command(_lowerCamelCase			)


if __name__ == "__main__":
     main()





"""simple docstring"""




def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: int			) ->   bool:
  return sum(i for i in range(1    ,number // 2 + 1			) if number % i == 0			) == number


if __name__ == "__main__":
     print('Program to check whether a number is a Perfect number or not...')
     _a   :	int 					=     int(input('Enter number: ').strip())
     print(F"""{number} is {"" if perfect(number) else "not "}a Perfect Number.""")




