code: 
  '''simple docstring'''
  
  import json
  import os
  from dataclasses import dataclass
  from enum import Enum
  from typing import List, Optional, Union
  
  import yaml
  
  from ...utils import ComputeEnvironment, DistributedType, SageMakerDistributedType
  from ...utils.constants import SAGEMAKER_PYTHON_VERSION, SAGEMAKER_PYTORCH_VERSION, SAGEMAKER_TRANSFORMERS_VERSION
  
  
  _UpperCAmelCase   :      Dict 						=  os.path.expanduser(
      os.getenv("""HF_HOME""", os.path.join(os.getenv("""XDG_CACHE_HOME""", """~/.cache"""), """huggingface"""))
  )
  _UpperCAmelCase   :      Union[str, Any] 						=  os.path.join(hf_cache_home, """accelerate""")
  _UpperCAmelCase   :      List[str] 						=  os.path.join(cache_dir, """default_config.yaml""")
  _UpperCAmelCase   :      List[str] 						=  os.path.join(cache_dir, """default_config.yaml""")
  
  # For backward compatibility: the default config is the json one if it's the only existing file.
  if os.path.isfile(default_yaml_config_file) or not os.path.isfile(default_json_config_file):
  	_UpperCAmelCase   :      List[str] 						=  default_yaml_config_file
  else:
  	_UpperCAmelCase   :      Optional[int] 						=  default_json_config_file
  
  
  
  
  
  
  
  def 						snake_case__	(      UpperCamelCase	) ->      Any:
  		if config_file is not None:
  				if not os.path.isfile(UpperCamelCase	):
  						raise FileNotFoundError(
  						    f'''The passed configuration file `{config_file}` does not exist. '''
  						    '''Please pass an existing file to `accelerate launch`, or use the the default one '''
  						    '''created through `accelerate config` and run `accelerate launch` '''
  						    '''without the `--config_file` argument.'''	)
  		else:
  				_UpperCamelCase       : Union[str, Any]    =      default_config_file
  		with open(UpperCamelCase			,'''r'''			,encoding='''utf-8'''	) as f:
  				if config_file.endswith('''.json'''	):
  						if (
  						    json.load(UpperCamelCase	).get('''compute_environment'''			,ComputeEnvironment.LOCAL_MACHINE	)
  						    == ComputeEnvironment.LOCAL_MACHINE
  						):
  								_UpperCamelCase       : List[Any]    =      ClusterConfig
  						else:
  								_UpperCamelCase       : Tuple    =      SageMakerConfig
  						return config_class.from_json_file(json_file=UpperCamelCase	)
  				else:
  						if (
  						    yaml.safe_load(UpperCamelCase	).get('''compute_environment'''			,ComputeEnvironment.LOCAL_MACHINE	)
  						    == ComputeEnvironment.LOCAL_MACHINE
  						):
  								_UpperCamelCase       : str    =      ClusterConfig
  						else:
  								_UpperCamelCase       : Union[str, Any]    =      SageMakerConfig
  						return config_class.from_yaml_file(yaml_file=UpperCamelCase	)
  
  @dataclass
  class 			UpperCAmelCase				:
  
  
  
  
  
  		"""simple docstring"""
  
  
  
  
  
  		A__  :   List[Any]          =    42
  		A__  :   List[Any]          =    42
  		A__  :   Any          =    42
  		A__  :   str          =    42
  		def _lowercase  (    self     )				->    int:
  				_UpperCamelCase       : Union[str, Any]    =      self.__dict__
  				# For serialization, it's best to convert Enums to strings (or their underlying value type).
  				for key, value in result.items():
  						if isinstance(_lowerCamelCase  ,					_lowerCamelCase     ):
  								_UpperCamelCase       : List[str]    =      value.value
  						if isinstance(_lowerCamelCase  ,					_lowerCamelCase     ) and not bool(_lowerCamelCase     ):
  								_UpperCamelCase       : str    =      None
  				_UpperCamelCase       : Union[str, Any]    =      {k: v for k, v in result.items() if v is not None}
  				return result
  		@classmethod
  		def _lowercase  (    cls  ,					_snake_case=None     )				->    List[Any]:
  				_UpperCamelCase       : Any    =      default_json_config_file if json_file is None else json_file
  				with open(_lowerCamelCase  ,					'''r'''  ,					encoding='''utf-8'''     ) as f:
  						_UpperCamelCase       : Any    =      json.load(_lowerCamelCase     )
  				if "compute_environment" not in config_dict:
  						_UpperCamelCase       : int    =      ComputeEnvironment.LOCAL_MACHINE
  				if "mixed_precision" not in config_dict:
  						_UpperCamelCase       : Tuple    =      """fp16""" if ("""fp16""" in config_dict and config_dict["""fp16"""]) else None
  				if "fp16" in config_dict:  # Convert the config to the new format.
  						del config_dict["fp16"]
  				if "dynamo_backend" in config_dict:  # Convert the config to the new format.
  						_UpperCamelCase       : Optional[Any]    =      config_dict.pop('''dynamo_backend'''     )
  						_UpperCamelCase       : List[str]    =      {} if dynamo_backend == """NO""" else {"""dynamo_backend""": dynamo_backend}
  				if "use_cpu" not in config_dict:
  						_UpperCamelCase       : Optional[int]    =      False
  				return cls(**_lowerCamelCase     )
  		def _lowercase  (    self  ,					_snake_case     )				->    Dict:
  
  				with open(_lowerCamelCase  ,					'''w'''  ,					encoding='''utf-8'''     ) as f:
  						_UpperCamelCase       : List[Any]    =      json.dumps(self.to_dict()  ,					indent=2  ,					sort_keys=_lowerCamelCase     ) + """\n"""
  						f.write(_lowerCamelCase     )
  		@classmethod
  		def _lowercase  (    cls  ,					_snake_case=None     )				->    Tuple:
  				_UpperCamelCase       : Any    =      default_yaml_config_file if yaml_file is None else yaml_file
  				with open(_lowerCamelCase  ,					'''r'''  ,					encoding='''utf-8'''     ) as f:
  						_UpperCamelCase       : Any    =      yaml.safe_load(_lowerCamelCase     )
  				if "compute_environment" not in config_dict:
  						_UpperCamelCase       : Tuple    =      ComputeEnvironment.LOCAL_MACHINE
  
  				if "mixed_precision" not in config_dict:
  						_UpperCamelCase       : Dict    =      """fp16""" if ("""fp16""" in config_dict and config_dict["""fp16"""]) else None
  				if isinstance(config_dict['''mixed_precision''']  ,					_lowerCamelCase     ) and not config_dict["mixed_precision"]:
  						_UpperCamelCase       : List[str]    =      """no"""
  				if "fp16" in config_dict:  # Convert the config to the new format.
  						del config_dict["fp16"]
  				if "dynamo_backend" in config_dict:  # Convert the config to the new format.
  						_UpperCamelCase       : List[str]    =      config_dict.pop('''dynamo_backend'''     )
  						_UpperCamelCase       : List[Any]    =      {} if dynamo_backend == """NO""" else {"""dynamo_backend""": dynamo_backend}
  				if "use_cpu" not in config_dict:
  						_UpperCamelCase       : Union[str, Any]    =      False
  				return cls(**_lowerCamelCase     )
  		def _lowercase  (    self  ,					_snake_case     )				->    Optional[int]:
  
  				with open(_lowerCamelCase  ,					'''w'''  ,					encoding='''utf-8'''     ) as f:
  						yaml.safe_dump(self.to_dict()  ,					_lowerCamelCase     )
  
  
  
  
  		def _lowercase  (    self     )				->    Optional[int]:
  
  				if isinstance(self.compute_environment  ,					_lowerCamelCase     ):
  						_UpperCamelCase       : List[str]    =      ComputeEnvironment(self.compute_environment     )
  				if isinstance(self.distributed_type  ,					_lowerCamelCase     ):
  						if self.compute_environment == ComputeEnvironment.AMAZON_SAGEMAKER:
  								_UpperCamelCase       : Optional[int]    =      SageMakerDistributedType(self.distributed_type     )
  						else:
  								_UpperCamelCase       : Union[str, Any]    =      DistributedType(self.distributed_type     )
  				if self.dynamo_config is None:
  						_UpperCamelCase       : Optional[Any]    =      {}
  
  
  
  
  
  
  
  @dataclass
  class 			UpperCAmelCase				(					lowerCAmelCase__ ):
  
  
  
  
  
  		"""simple docstring"""
  
  
  
  
  
  		A__  :   Union[str, Any]          =    42
  		A__  :   List[Any]          =    0
  		A__  :   Optional[int]          =    1
  		A__  :   Any          =    None
  		A__  :   List[str]          =    None
  		A__  :   str          =    None
  		A__  :   Any          =    'static'
  		A__  :   str          =    False
  		A__  :   int          =    'main'
  
  		# args for deepspeed_plugin
  		A__  :   int          =    None
  		# args for fsdp
  		A__  :   Tuple          =    None
  		# args for megatron_lm
  		A__  :   Union[str, Any]          =    None
  		# args for ipex
  		A__  :   int          =    None
  		# args for TPU
  		A__  :   Tuple          =    False
  
  		# args for TPU pods
  		A__  :   Any          =    None
  		A__  :   List[str]          =    None
  		A__  :   List[Any]          =    False
  		A__  :   Dict          =    False
  		A__  :   Tuple          =    None
  		A__  :   Tuple          =    None
  		A__  :   Optional[int]          =    None
  		A__  :   List[Any]          =    None
  
  		# args for dynamo
  		A__  :   Optional[int]          =    None
  		def _lowercase  (    self     )				->    List[Any]:
  
  				if self.deepspeed_config is None:
  						_UpperCamelCase       : str    =      {}
  				if self.fsdp_config is None:
  						_UpperCamelCase       : Any    =      {}
  				if self.megatron_lm_config is None:
  						_UpperCamelCase       : Union[str, Any]    =      {}
  				if self.ipex_config is None:
  						_UpperCamelCase       : Optional[int]    =      {}
  				return super().__post_init__()
  
  
  
  
  
  
  
  @dataclass
  class 			UpperCAmelCase				(					lowerCAmelCase__ ):
  
  
  
  
  
  		"""simple docstring"""
  
  
  
  
  
  		A__  :   Tuple          =    42
  		A__  :   List[Any]          =    42
  		A__  :   int          =    None
  		A__  :   List[str]          =    None
  		A__  :   Optional[Any]          =    'us-east-1'
  		A__  :   List[str]          =    1
  		A__  :   str          =    'all'
  		A__  :   Optional[Any]          =    F"""accelerate-sagemaker-{num_machines}"""
  		A__  :   Tuple          =    SAGEMAKER_PYTORCH_VERSION
  		A__  :   Union[str, Any]          =    SAGEMAKER_TRANSFORMERS_VERSION
  		A__  :   List[Any]          =    SAGEMAKER_PYTHON_VERSION
  		A__  :   Union[str, Any]          =    None
  		A__  :   int          =    None
  		A__  :   Any          =    None
  		A__  :   Union[str, Any]          =    None
  
  
  
  
style_context: 
  '''simple docstring'''
  
  _UpperCAmelCase   :      Optional[int] 						=  """
  # Transformers installation
  ! pip install transformers datasets evaluate
  # To install from source instead of the last release, comment the command above and uncomment the following one.
  # ! pip install git+https://github.com/huggingface/transformers.git
  """
  
  _UpperCAmelCase   :      Union[str, Any] 						=  [{"""type""": """code""", """content""": INSTALL_CONTENT}]
  _UpperCAmelCase   :      Union[str, Any] 						=  {
      """{processor_class}""": """FakeProcessorClass""",
      """{model_class}""": """FakeModelClass""",
      """{object_class}""": """FakeObjectClass""",
  }
  
  
  
  
  
  