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







def 	__a     (		__lowerCamelCase=None  ):
   if subparsers is not None:
      UpperCAmelCase_					:					Optional[int]			     =    subparsers.add_parser("config",		description=__lowerCamelCase  )
   else:
      UpperCAmelCase_					:					Dict			     =    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  ):
   UpperCAmelCase_					:					Tuple			     =    get_user_input()
   if args.config_file is not None:
      UpperCAmelCase_					:					int			     =    args.config_file
   else:
      if not os.path.isdir(__lowerCamelCase  ):
         os.makedirs(__lowerCamelCase  )
      UpperCAmelCase_					:					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 	__a     (		):
   UpperCAmelCase_					:					List[Any]			     =    config_command_parser()
   UpperCAmelCase_					:					Tuple			     =    parser.parse_args()
   config_command(__lowerCamelCase  )


if __name__ == "__main__":
    main()




"""simple docstring"""





from __future__ import annotations







def 	__a     (		__lowerCamelCase,		__lowerCamelCase  ):
   UpperCAmelCase_     ,   UpperCAmelCase_					:					str			     =    set(__lowerCamelCase  ), [start]

   while stack:
      UpperCAmelCase_					:					Any			     =    stack.pop()
      explored.add(__lowerCamelCase  )
      # Differences from BFS:
      # 1) pop last element instead of first one
      # 2) add adjacent elements to stack without exploring them
      for adj in reversed(graph[v]  ):
         if adj not in explored:
            stack.append(__lowerCamelCase  )
   return explored


_a		       =							{
    'A': ['B', 'C', 'D'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B', 'D'],
    'E': ['B', 'F'],
    'F': ['C', 'E', 'G'],
    'G': ['F'],
}

if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(depth_first_search(G, 'A'))


