





'''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


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






def 	_lowerCAmelCase      (  __snake_case  :			List[str]=None      )					->					Dict:
     if subparsers is not None:
          __A						:			Tuple								=	subparsers.add_parser('config'			,							description=__snake_case      )
     else:
          __A						:			str								=	argparse.ArgumentParser('Accelerate config command'			,							description=__snake_case      )

     parser.add_argument(
         '--config_file'			,							default=__snake_case			,							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=__snake_case      )
     return parser






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

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






def 	_lowerCAmelCase      (  )					->					int:
     __A						:			Optional[Any]								=	config_command_parser()
     __A						:			Any								=	parser.parse_args()
     config_command(__snake_case      )


if __name__ == "__main__":
  main()






'''simple docstring'''




def 	_lowerCAmelCase      (  __snake_case  :			str			,							__snake_case  :			str      )					->					float:

     def get_matched_characters(__snake_case  :			str			,							__snake_case  :			str      ) -> str:
          __A						:			Optional[int]								=	[]
          __A						:			Optional[Any]								=	min(len(_stra      )			,							len(_stra      )      ) // 2
          for i, l in enumerate(_stra      ):
               __A						:			str								=	int(max(0			,							i - limit      )      )
               __A						:			str								=	int(min(i + limit + 1			,							len(_stra      )      )      )
               if l in _stra[left:right]:
                    matched.append(__snake_case      )
                    __A						:			Dict								=	f'{_stra[0:_stra.index(__snake_case      )]} {_stra[_stra.index(__snake_case      ) + 1:]}'

          return "".join(__snake_case      )

     # matching characters
     __A						:			Any								=	get_matched_characters(__snake_case			,							__snake_case      )
     __A						:			str								=	get_matched_characters(__snake_case			,							__snake_case      )
     __A						:			str								=	len(__snake_case      )

     # transposition
     __A						:			Tuple								=	(
         len([(ca, ca) for ca, ca in zip(__snake_case			,							__snake_case      ) if ca != ca]      ) // 2
     )

     if not match_count:
          __A						:			int								=	0.0
     else:
          __A						:			Union[str, Any]								=	(
              1
              / 3
              * (
                  match_count / len(__snake_case      )
                  + match_count / len(__snake_case      )
                  + (match_count - transpositions) / match_count
              )
          )

     # common prefix up to 4 characters
     __A						:			Tuple								=	0
     for ca, ca in zip(stra[:4]			,							stra[:4]      ):
          if ca == ca:
               prefix_len += 1
          else:
               break

     return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  print(jaro_winkler('''hello''', '''world'''))