




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

lowerCamelCase__ :   List[str]					=							TypeVar('_T')





class        lowerCamelCase_							(      Generic[_T]					):


 '''simple docstring'''







 def __init__(							self  :		Any				,				_lowerCAmelCase  :		Iterable[_T] | None = None						):
       SCREAMING_SNAKE_CASE_							=			list(iterable or []						)
       SCREAMING_SNAKE_CASE_							=			[]



 def __len__(							self  :		Optional[Any]						):
       return len(self._stacka						) + len(self._stacka						)



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



 def       lowerCAmelCase_  (							self  :		List[str]				,				_lowerCAmelCase  :		_T						):
       self._stacka.append(_lowerCAmelCase						)




 def       lowerCAmelCase_  (							self  :		List[Any]						):
       SCREAMING_SNAKE_CASE_							=			self._stacka.pop
       SCREAMING_SNAKE_CASE_							=			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()





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase__ :   str					=							{
    'configuration_mask2former': [
        'MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Mask2FormerConfig',
    ],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__ :   int					=							['Mask2FormerImageProcessor']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   lowerCamelCase__ :   Dict					=							[
       'MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
       'Mask2FormerForUniversalSegmentation',
       'Mask2FormerModel',
       'Mask2FormerPreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_maskaformer import MASK2FORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, MaskaFormerConfig

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .image_processing_maskaformer import MaskaFormerImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_maskaformer import (
          MASK2FORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          MaskaFormerForUniversalSegmentation,
          MaskaFormerModel,
          MaskaFormerPreTrainedModel,
      )


else:
   import sys

   lowerCamelCase__ :   Tuple					=							_LazyModule(__name__, globals()['__file__'], _import_structure)