code: 
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
  )
  
  
  __lowerCamelCase  				=					{
      """configuration_bark""": [
          """BARK_PRETRAINED_CONFIG_ARCHIVE_MAP""",
          """BarkCoarseConfig""",
          """BarkConfig""",
          """BarkFineConfig""",
          """BarkSemanticConfig""",
      ],
      """processing_bark""": ["""BarkProcessor"""],
  }
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __lowerCamelCase  				=					[
          """BARK_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """BarkFineModel""",
          """BarkSemanticModel""",
          """BarkCoarseModel""",
          """BarkModel""",
          """BarkPreTrainedModel""",
          """BarkCausalModel""",
      ]
  
  if TYPE_CHECKING:
      from .configuration_bark import (
          BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
          BarkCoarseConfig,
          BarkConfig,
          BarkFineConfig,
          BarkSemanticConfig,
      )
      from .processing_bark import BarkProcessor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_bark import (
              BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
              BarkCausalModel,
              BarkCoarseModel,
              BarkFineModel,
              BarkModel,
              BarkPreTrainedModel,
              BarkSemanticModel,
          )
  
  else:
      import sys
  
      __lowerCamelCase  				=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
style_context: 
  
  
  
  import platform
  from argparse import ArgumentParser
  
  import huggingface_hub
  import pandas
  import pyarrow
  
  from datasets import __version__ as version
  from datasets.commands import BaseDatasetsCLICommand
  
  
  
  
  def     UpperCAmelCase__ (							__snake_case							)   -> Optional[Any]:
    return EnvironmentCommand()
  
  
  
  class 		_snake_case      (			lowerCamelCase				):
  
  
  
  
  
   """simple docstring"""
  
  
  
   @staticmethod
   def lowercase_		(						a					)	->							Dict:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _A           =    parser.add_parser('''env'''	,    help='''Print relevant system environment info.'''					)
     download_parser.set_defaults(func=a					)
   def lowercase_		(						self					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     _A           =    {
         '''`datasets` version''': version,
         '''Platform''': platform.platform(),
         '''Python version''': platform.python_version(),
         '''Huggingface_hub version''': huggingface_hub.__version__,
         '''PyArrow version''': pyarrow.__version__,
         '''Pandas version''': pandas.__version__,
     }
  
     print('''\nCopy-and-paste the text below in your GitHub issue.\n'''					)
     print(self.format_dict(a					)					)
  
     return info
  
  
  
   @staticmethod
   def lowercase_		(						a					)	->							Optional[int]:
  
  
  
  
     """simple docstring"""
  
  
  
  
  
  
  
     return "\n".join([f'''- {prop}: {val}''' for prop, val in d.items()]					) + "\n"