




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase    :		Optional[Any]			   =       {"configuration_vit_msn": ["VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTMSNConfig"]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase    :		Optional[Any]			   =       [
     "VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ViTMSNModel",
     "ViTMSNForImageClassification",
     "ViTMSNPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vit_msn import (
      VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
      ViTMSNForImageClassification,
      ViTMSNModel,
      ViTMSNPreTrainedModel,
  )

else:
 import sys

 lowerCamelCase    :		List[str]			   =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









from ..utils import DummyObject, requires_backends







class   A(						metaclass=UpperCamelCase       ):



 '''simple docstring'''


 UpperCamelCase						       =						['''keras_nlp''']

 def __init__(    self :  Optional[int]						,							*A_ :  Any						,							**A_ :  Dict  )       ->     Optional[int]:

       """simple docstring"""






       requires_backends(self						,							['keras_nlp']  )



