





from ..utils import DummyObject, requires_backends



class        _lowerCAmelCase    (			metaclass=UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       List[str]      					=["""torch""", """transformers""", """onnx"""]







  def __init__(      self      :					str      ,				*UpperCamelCase      :					List[Any]      ,				**UpperCamelCase      :					str							):


    '''simple docstring'''





    requires_backends(self      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					List[str]      ,				*UpperCamelCase      :					Dict      ,				**UpperCamelCase      :					Optional[int]							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					str      ,				*UpperCamelCase      :					Optional[int]      ,				**UpperCamelCase      :					str							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)




class        _lowerCAmelCase    (			metaclass=UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       Optional[int]      					=["""torch""", """transformers""", """onnx"""]







  def __init__(      self      :					Dict      ,				*UpperCamelCase      :					Union[str, Any]      ,				**UpperCamelCase      :					Union[str, Any]							):


    '''simple docstring'''





    requires_backends(self      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					str      ,				*UpperCamelCase      :					Tuple      ,				**UpperCamelCase      :					int							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					Optional[int]      ,				*UpperCamelCase      :					str      ,				**UpperCamelCase      :					Dict							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)




class        _lowerCAmelCase    (			metaclass=UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       str      					=["""torch""", """transformers""", """onnx"""]







  def __init__(      self      :					Union[str, Any]      ,				*UpperCamelCase      :					Optional[int]      ,				**UpperCamelCase      :					Tuple							):


    '''simple docstring'''





    requires_backends(self      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					Tuple      ,				*UpperCamelCase      :					Any      ,				**UpperCamelCase      :					Optional[int]							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					List[str]      ,				*UpperCamelCase      :					List[Any]      ,				**UpperCamelCase      :					Optional[int]							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)




class        _lowerCAmelCase    (			metaclass=UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       List[str]      					=["""torch""", """transformers""", """onnx"""]







  def __init__(      self      :					Tuple      ,				*UpperCamelCase      :					str      ,				**UpperCamelCase      :					Union[str, Any]							):


    '''simple docstring'''





    requires_backends(self      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					Any      ,				*UpperCamelCase      :					Tuple      ,				**UpperCamelCase      :					Tuple							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					Any      ,				*UpperCamelCase      :					List[Any]      ,				**UpperCamelCase      :					Dict							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)




class        _lowerCAmelCase    (			metaclass=UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       Dict      					=["""torch""", """transformers""", """onnx"""]







  def __init__(      self      :					str      ,				*UpperCamelCase      :					Optional[Any]      ,				**UpperCamelCase      :					Any							):


    '''simple docstring'''





    requires_backends(self      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					List[Any]      ,				*UpperCamelCase      :					Any      ,				**UpperCamelCase      :					Optional[Any]							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					Optional[Any]      ,				*UpperCamelCase      :					Optional[int]      ,				**UpperCamelCase      :					Tuple							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)




class        _lowerCAmelCase    (			metaclass=UpperCAmelCase_							):


  '''simple docstring'''
  a_							:       Tuple      					=["""torch""", """transformers""", """onnx"""]







  def __init__(      self      :					Dict      ,				*UpperCamelCase      :					Union[str, Any]      ,				**UpperCamelCase      :					Union[str, Any]							):


    '''simple docstring'''





    requires_backends(self      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					int      ,				*UpperCamelCase      :					Optional[int]      ,				**UpperCamelCase      :					List[str]							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)







  @classmethod
  def UpperCamelCase_ (      cls      :					Dict      ,				*UpperCamelCase      :					Any      ,				**UpperCamelCase      :					str							):


    '''simple docstring'''





    requires_backends(cls      ,				['torch', 'transformers', 'onnx']							)











# 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_						   =    """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_	(      )->		Tuple:
  _snake_case   :				int														=	_ask_options(
      'In which compute environment are you running?'    ,							['This machine', 'AWS (Amazon SageMaker)']    ,							_convert_compute_environment    ,							)
  if compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
    _snake_case   :				int														=	get_sagemaker_input()
  else:
    _snake_case   :				Any														=	get_cluster_input()
  return config


def     lowerCamelCase_	(      lowerCAmelCase:	str=None				)->		Any:
  if subparsers is not None:
    _snake_case   :				List[Any]														=	subparsers.add_parser('config'    ,							description=lowerCAmelCase				)
  else:
    _snake_case   :				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     lowerCamelCase_	(      lowerCAmelCase:	Any				)->		Any:
  _snake_case   :				Dict														=	get_user_input()
  if args.config_file is not None:
    _snake_case   :				List[str]														=	args.config_file
  else:
    if not os.path.isdir(lowerCAmelCase				):
      os.makedirs(lowerCAmelCase				)
    _snake_case   :				Union[str, 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     lowerCamelCase_	(      )->		Dict:
  _snake_case   :				List[str]														=	config_command_parser()
  _snake_case   :				str														=	parser.parse_args()
  config_command(lowerCAmelCase				)


if __name__ == "__main__":
      main()




