




# 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


_lowerCamelCase      :  Dict      						=						"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 							_UpperCAmelCase  ():
				'''simple docstring'''
				_lowerCAmelCase    :    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:
								_lowerCAmelCase    :    List[Any]										=      get_sagemaker_input()
				else:
								_lowerCAmelCase    :    Optional[int]										=      get_cluster_input()
				return config




def 							_UpperCAmelCase  (UpperCamelCase_ : Tuple=None       ):
				'''simple docstring'''
				if subparsers is not None:
								_lowerCAmelCase    :    List[str]										=      subparsers.add_parser("""config"""      ,    description=UpperCamelCase_       )
				else:
								_lowerCAmelCase    :    List[str]										=      argparse.ArgumentParser("""Accelerate config command"""      ,    description=UpperCamelCase_       )

				parser.add_argument(
				    """--config_file"""      ,    default=UpperCamelCase_      ,    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=UpperCamelCase_       )
				return parser




def 							_UpperCAmelCase  (UpperCamelCase_ : Optional[int]       ):
				'''simple docstring'''
				_lowerCAmelCase    :    Tuple										=      get_user_input()
				if args.config_file is not None:
								_lowerCAmelCase    :    int										=      args.config_file
				else:
								if not os.path.isdir(UpperCamelCase_       ):
												os.makedirs(UpperCamelCase_       )
								_lowerCAmelCase    :    List[str]										=      default_yaml_config_file

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




def 							_UpperCAmelCase  ():
				'''simple docstring'''
				_lowerCAmelCase    :    str										=      config_command_parser()
				_lowerCAmelCase    :    Optional[int]										=      parser.parse_args()
				config_command(UpperCamelCase_       )


if __name__ == "__main__":
	main()











def 							_UpperCAmelCase  (UpperCamelCase_ : str      ,    UpperCamelCase_ : bool = False       ):
				'''simple docstring'''

				if not isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								_lowerCAmelCase    :    Tuple										=      F"Expected string as input, found {type(UpperCamelCase_       )}"
								raise ValueError(UpperCamelCase_       )
				if not isinstance(UpperCamelCase_      ,    UpperCamelCase_       ):
								_lowerCAmelCase    :    Optional[Any]										=      F"Expected boolean as use_pascal parameter, found {type(UpperCamelCase_       )}"
								raise ValueError(UpperCamelCase_       )

				_lowerCAmelCase    :    Any										=      input_str.split("""_"""       )

				_lowerCAmelCase    :    str										=      0 if use_pascal else 1

				_lowerCAmelCase    :    Any										=      words[start_index:]

				_lowerCAmelCase    :    List[str]										=      [word[0].upper() + word[1:] for word in words_to_capitalize]

				_lowerCAmelCase    :    Any										=      """""" if use_pascal else words[0]

				return "".join([initial_word, *capitalized_words]       )


if __name__ == "__main__":
	from doctest import testmod

	testmod()

