"""simple docstring"""




from argparse import ArgumentParser

from accelerate.commands.config import get_config_parser
from accelerate.commands.env import env_command_parser
from accelerate.commands.launch import launch_command_parser
from accelerate.commands.test import test_command_parser
from accelerate.commands.tpu import tpu_command_parser





def 							SCREAMING_SNAKE_CASE  (    ) ->   Any:
  _lowerCAmelCase		: Tuple						    =  ArgumentParser("""Accelerate CLI tool"""    ,usage="""accelerate <command> [<args>]"""    ,allow_abbrev=_lowerCamelCase			)
  _lowerCAmelCase		: Union[str, Any]						    =  parser.add_subparsers(help="""accelerate command helpers"""			)

  # Register commands
  get_config_parser(subparsers=_lowerCamelCase			)
  env_command_parser(subparsers=_lowerCamelCase			)
  launch_command_parser(subparsers=_lowerCamelCase			)
  tpu_command_parser(subparsers=_lowerCamelCase			)
  test_command_parser(subparsers=_lowerCamelCase			)

  # Let's go
  _lowerCAmelCase		: Optional[Any]						    =  parser.parse_args()

  if not hasattr(_lowerCamelCase    ,"""func"""			):
    parser.print_help()
    exit(1			)

  # Run
  args.func(_lowerCamelCase			)


if __name__ == "__main__":
     main()


"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_a   :	Tuple 					=     {'configuration_wavlm': ['WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'WavLMConfig']}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _a   :	str 					=     [
         'WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST',
         'WavLMForAudioFrameClassification',
         'WavLMForCTC',
         'WavLMForSequenceClassification',
         'WavLMForXVector',
         'WavLMModel',
         'WavLMPreTrainedModel',
     ]

if TYPE_CHECKING:
     from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_wavlm import (
              WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
              WavLMForAudioFrameClassification,
              WavLMForCTC,
              WavLMForSequenceClassification,
              WavLMForXVector,
              WavLMModel,
              WavLMPreTrainedModel,
          )

else:
     import sys

     _a   :	Any 					=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




