'''simple docstring'''
from collections.abc import Iterable
from typing import Generic, TypeVar

a=  TypeVar('''_T''')






class 			__lowercase		(						Generic[_T]						):







     """simple docstring"""






     def __init__(		self     ,			_lowerCamelCase = None    ):
         __UpperCamelCase	:	list[_T]		    =  list(iterable or []    )
         __UpperCamelCase	:	list[_T]		    =  []







     def __len__(		self    ):
         return len(self._stacka    ) + len(self._stacka    )







     def __repr__(		self    ):
         return f"""Queue({tuple(self._stacka[::-1] + self._stacka    )})"""







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         self._stacka.append(_lowerCamelCase    )







     def lowerCAmelCase     (		self    ):
         __UpperCamelCase	:	Optional[int]		    =  self._stacka.pop
         __UpperCamelCase	:	List[Any]		    =  self._stacka.append

         if not self._stacka:
             while self._stacka:
                 stacka_append(stacka_pop()    )

         if not self._stacka:
             raise IndexError('Queue is empty'    )
         return self._stacka.pop()


if __name__ == "__main__":
  from doctest import testmod

  testmod()




'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a=  {'''configuration_vit_msn''': ['''VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ViTMSNConfig''']}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  a=  [
      '''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

  a=  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



