



"""simple docstring"""
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


UpperCAmelCase  :						int	=       "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 	_SCREAMING_SNAKE_CASE  ()       ->  List[str]:







  '''simple docstring'''


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


def 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase=None							)       ->  Union[str, Any]:







  '''simple docstring'''


  if subparsers is not None:
    lowercase_	    =       subparsers.add_parser("""config"""       ,     description=__lowerCamelCase							)
  else:
    lowercase_	    =       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 	_SCREAMING_SNAKE_CASE  (__lowerCAmelCase							)       ->  Optional[Any]:







  '''simple docstring'''


  lowercase_	    =       get_user_input()
  if args.config_file is not None:
    lowercase_	    =       args.config_file
  else:
    if not os.path.isdir(__lowerCamelCase							):
      os.makedirs(__lowerCamelCase							)
    lowercase_	    =       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 	_SCREAMING_SNAKE_CASE  ()       ->  Dict:







  '''simple docstring'''


  lowercase_	    =       config_command_parser()
  lowercase_	    =       parser.parse_args()
  config_command(__lowerCamelCase							)


if __name__ == "__main__":
       main()



"""simple docstring"""





from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
    from .pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings, VQDiffusionPipeline


