code: 
  
  
  
  
  """simple docstring"""
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_flax_available,
      is_tf_available,
      is_torch_available,
  )
  
  
  SCREAMING_SNAKE_CASE       = {
      'configuration_unispeech_sat': ['UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechSatConfig'],
  }
  
  try:
        if not is_torch_available():
              raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
        pass
  else:
        SCREAMING_SNAKE_CASE       = [
            'UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST',
            'UniSpeechSatForAudioFrameClassification',
            'UniSpeechSatForCTC',
            'UniSpeechSatForPreTraining',
            'UniSpeechSatForSequenceClassification',
            'UniSpeechSatForXVector',
            'UniSpeechSatModel',
            'UniSpeechSatPreTrainedModel',
        ]
  
  if TYPE_CHECKING:
        from .configuration_unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig
  
        try:
              if not is_torch_available():
                    raise OptionalDependencyNotAvailable()
        except OptionalDependencyNotAvailable:
              pass
        else:
              from .modeling_unispeech_sat import (
                  UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  UniSpeechSatForAudioFrameClassification,
                  UniSpeechSatForCTC,
                  UniSpeechSatForPreTraining,
                  UniSpeechSatForSequenceClassification,
                  UniSpeechSatForXVector,
                  UniSpeechSatModel,
                  UniSpeechSatPreTrainedModel,
              )
  
  else:
        import sys
  
        SCREAMING_SNAKE_CASE       = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  def 						_SCREAMING_SNAKE_CASE     (							lowercase_		)		->	str:
   return " ".join(sorted(set(sentence.split()		)		)		)
  
  
  if __name__ == "__main__":
        import doctest
  
        doctest.testmod()
  
  
  
  
  
  