


'''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_   :      Optional[int]				    =      "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 		_A			()				->					Tuple:




     '''simple docstring'''



     _a      =							_ask_options(
         'In which compute environment are you running?'			,  ['This machine', 'AWS (Amazon SageMaker)']			,  _convert_compute_environment			,  )
     if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
          _a      =							get_sagemaker_input()
     else:
          _a      =							get_cluster_input()
     return config






def 		_A			(lowerCAmelCase__					:List[str]=None						)				->					str:




     '''simple docstring'''



     if subparsers is not None:
          _a      =							subparsers.add_parser('config'			,  description=lowerCAmelCase__						)
     else:
          _a      =							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 		_A			(lowerCAmelCase__					:Optional[Any]						)				->					Any:




     '''simple docstring'''



     _a      =							get_user_input()
     if args.config_file is not None:
          _a      =							args.config_file
     else:
          if not os.path.isdir(lowerCAmelCase__						):
               os.makedirs(lowerCAmelCase__						)
          _a      =							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 		_A			()				->					Dict:




     '''simple docstring'''



     _a      =							config_command_parser()
     _a      =							parser.parse_args()
     config_command(lowerCAmelCase__						)


if __name__ == "__main__":
 main()





'''simple docstring'''






def 		_A			(lowerCAmelCase__					:list						)				->					float:




     '''simple docstring'''



     _a      =							0
     while len(lowerCAmelCase__						) > 1:
          _a      =							0
          # Consider two files with minimum cost to be merged
          for _ in range(2						):
               _a      =							files.index(min(lowerCAmelCase__						)						)
               temp += files[min_index]
               files.pop(lowerCAmelCase__						)
          files.append(lowerCAmelCase__						)
          optimal_merge_cost += temp
     return optimal_merge_cost


if __name__ == "__main__":
 import doctest

 doctest.testmod()

