



from collections.abc import Iterable
from typing import Generic, TypeVar

_lowerCamelCase						    =  TypeVar("""_T""")

class       _SCREAMING_SNAKE_CASE	(Generic[_T] ):





     def __init__(       self :							int     ,  UpperCamelCase :							Dict = None				)->Dict:
      __SCREAMING_SNAKE_CASE       :    int       =	list(iterable or []				)
      __SCREAMING_SNAKE_CASE       :    int       =	[]





     def __len__(       self :							Optional[int]				)->Union[str, Any]:
      return len(self._stacka				) + len(self._stacka				)





     def __repr__(       self :							List[str]				)->Tuple:
      return F"""Queue({tuple(self._stacka[::-1] + self._stacka				)})"""





     def 	__snake_case    (       self :							List[Any]     ,  UpperCamelCase :							List[Any]				)->List[Any]:
      self._stacka.append(__lowerCAmelCase				)






     def 	__snake_case    (       self :							Tuple				)->str:
      __SCREAMING_SNAKE_CASE       :    Optional[Any]       =	self._stacka.pop
      __SCREAMING_SNAKE_CASE       :    str       =	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()











import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_lowerCamelCase						    =  logging.get_logger(__name__)

class       _SCREAMING_SNAKE_CASE	(UpperCamelCase ):





     def __init__(       self :							int     ,  *UpperCamelCase :							Optional[int]     ,  **UpperCamelCase :							Optional[int]				)->None:
      warnings.warn(
          "The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
          " Please use LayoutLMv2ImageProcessor instead."     ,  UpperCamelCase     ,  )
      super().__init__(*UpperCamelCase     ,  **UpperCamelCase				)






