code: 
  
  
  
  
  
  from ..utils import DummyObject, requires_backends
  
  
  
  
  class 				_lowerCamelCase (    metaclass=a    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      List[str]       =["torch", "librosa"]
  
  
  
  
  
  
  
        def __init__( self				,						*UpperCAmelCase				,						**UpperCAmelCase   )       ->   int:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          requires_backends(self				,						["torch", "librosa"]   )
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )       ->   List[str]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          requires_backends(cls				,						["torch", "librosa"]   )
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )       ->   Optional[Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          requires_backends(cls				,						["torch", "librosa"]   )
  
  
  
  
  class 				_lowerCamelCase (    metaclass=a    ):
  
  
  
        """simple docstring"""
  
  
  
  
  
  
        UpperCAmelCase_						:      Optional[Any]       =["torch", "librosa"]
  
  
  
  
  
  
  
        def __init__( self				,						*UpperCAmelCase				,						**UpperCAmelCase   )       ->   Union[str, Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          requires_backends(self				,						["torch", "librosa"]   )
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )       ->   List[str]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          requires_backends(cls				,						["torch", "librosa"]   )
  
  
  
  
  
  
  
        @classmethod
        def 						UpperCAmelCase		( cls				,						*UpperCAmelCase				,						**UpperCAmelCase   )       ->   List[Any]:
  
  
  
  
  
  
          '''simple docstring'''
  
  
  
  
  
  
          requires_backends(cls				,						["torch", "librosa"]   )
  
  
style_context: 
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  _UpperCamelCase       = {'''configuration_nat''': ['''NAT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''NatConfig''']}
  
  
  try:
       if not is_torch_available():
            raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
       pass
  else:
       _UpperCamelCase       = [
           '''NAT_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''NatForImageClassification''',
           '''NatModel''',
           '''NatPreTrainedModel''',
           '''NatBackbone''',
       ]
  
  if TYPE_CHECKING:
       from .configuration_nat import NAT_PRETRAINED_CONFIG_ARCHIVE_MAP, NatConfig
  
       try:
            if not is_torch_available():
                 raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
            pass
       else:
            from .modeling_nat import (
                NAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                NatBackbone,
                NatForImageClassification,
                NatModel,
                NatPreTrainedModel,
            )
  
  else:
       import sys
  
       _UpperCamelCase       = _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  