





'''simple docstring'''


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

_SCREAMING_SNAKE_CASE	 =							TypeVar("_T")

class    lowerCAmelCase_		(		Generic[_T]		):




 def __init__(	self			,     _lowerCAmelCase = None		)    ->							None:
     _lowerCAmelCase				=      list(iterable or []		)
     _lowerCAmelCase				=      []




 def __len__(	self		)    ->							int:
     return len(self._stacka		) + len(self._stacka		)




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




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							None:
     self._stacka.append(_lowerCAmelCase		)





 def 							_snake_case   (	self		)    ->							_T:
     _lowerCAmelCase				=      self._stacka.pop
     _lowerCAmelCase				=      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


_SCREAMING_SNAKE_CASE	 =							{
    "configuration_bigbird_pegasus": [
        "BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BigBirdPegasusConfig",
        "BigBirdPegasusOnnxConfig",
    ],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _SCREAMING_SNAKE_CASE	 =							[
           "BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST",
           "BigBirdPegasusForCausalLM",
           "BigBirdPegasusForConditionalGeneration",
           "BigBirdPegasusForQuestionAnswering",
           "BigBirdPegasusForSequenceClassification",
           "BigBirdPegasusModel",
           "BigBirdPegasusPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_bigbird_pegasus import (
           BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
           BigBirdPegasusConfig,
           BigBirdPegasusOnnxConfig,
       )

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_bigbird_pegasus import (
                  BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
                  BigBirdPegasusForCausalLM,
                  BigBirdPegasusForConditionalGeneration,
                  BigBirdPegasusForQuestionAnswering,
                  BigBirdPegasusForSequenceClassification,
                  BigBirdPegasusModel,
                  BigBirdPegasusPreTrainedModel,
              )


else:
       import sys

       _SCREAMING_SNAKE_CASE	 =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


