code: 
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  __A  							=			{"configuration_sew_d": ["SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP", "SEWDConfig"]}
  
  try:
     if not is_torch_available():
        raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
     pass
  else:
     __A  							=			[
         "SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST",
         "SEWDForCTC",
         "SEWDForSequenceClassification",
         "SEWDModel",
         "SEWDPreTrainedModel",
     ]
  
  if TYPE_CHECKING:
     from .configuration_sew_d import SEW_D_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWDConfig
  
     try:
        if not is_torch_available():
           raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
        pass
     else:
        from .modeling_sew_d import (
            SEW_D_PRETRAINED_MODEL_ARCHIVE_LIST,
            SEWDForCTC,
            SEWDForSequenceClassification,
            SEWDModel,
            SEWDPreTrainedModel,
        )
  
  
  else:
     import sys
  
     __A  							=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  __A  							=  [0.485, 0.456, 0.406]
  __A  							=  [0.229, 0.224, 0.225]
  __A  							=  [0.5, 0.5, 0.5]
  __A  							=  [0.5, 0.5, 0.5]
  __A  							=  [0.4814_5466, 0.457_8275, 0.4082_1073]
  __A  							=  [0.2686_2954, 0.2613_0258, 0.2757_7711]
  
  
  
  
  