code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  lowerCamelCase_     :     List[str]    		=						{
      """configuration_wav2vec2_conformer""": [
          """WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
          """Wav2Vec2ConformerConfig""",
      ],
  }
  
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowerCamelCase_     :     Tuple    		=						[
             """WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
             """Wav2Vec2ConformerForAudioFrameClassification""",
             """Wav2Vec2ConformerForCTC""",
             """Wav2Vec2ConformerForPreTraining""",
             """Wav2Vec2ConformerForSequenceClassification""",
             """Wav2Vec2ConformerForXVector""",
             """Wav2Vec2ConformerModel""",
             """Wav2Vec2ConformerPreTrainedModel""",
         ]
  
  if TYPE_CHECKING:
         from .configuration_wavaveca_conformer import (
             WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
             WavaVecaConformerConfig,
         )
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_wavaveca_conformer import (
                    WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                    WavaVecaConformerForAudioFrameClassification,
                    WavaVecaConformerForCTC,
                    WavaVecaConformerForPreTraining,
                    WavaVecaConformerForSequenceClassification,
                    WavaVecaConformerForXVector,
                    WavaVecaConformerModel,
                    WavaVecaConformerPreTrainedModel,
                )
  
  else:
         import sys
  
         lowerCamelCase_     :     Dict    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  lowerCamelCase_     :     Any    		=						{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowerCamelCase_     :     List[str]    		=						[
             """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
             """DinatForImageClassification""",
             """DinatModel""",
             """DinatPreTrainedModel""",
             """DinatBackbone""",
         ]
  
  if TYPE_CHECKING:
         from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_dinat import (
                    DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DinatBackbone,
                    DinatForImageClassification,
                    DinatModel,
                    DinatPreTrainedModel,
                )
  
  else:
         import sys
  
         lowerCamelCase_     :     List[Any]    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)