





from typing import TYPE_CHECKING

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


__UpperCAmelCase       :   Dict				       =							{
    "configuration_longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config", "LongT5OnnxConfig"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase       :   str				       =							[
          "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
          "LongT5EncoderModel",
          "LongT5ForConditionalGeneration",
          "LongT5Model",
          "LongT5PreTrainedModel",
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase       :   Dict				       =							[
          "FlaxLongT5ForConditionalGeneration",
          "FlaxLongT5Model",
          "FlaxLongT5PreTrainedModel",
      ]


if TYPE_CHECKING:
      from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_longta import (
                LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
                LongTaEncoderModel,
                LongTaForConditionalGeneration,
                LongTaModel,
                LongTaPreTrainedModel,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_longta import (
                FlaxLongTaForConditionalGeneration,
                FlaxLongTaModel,
                FlaxLongTaPreTrainedModel,
            )


else:
      import sys

      __UpperCAmelCase       :   Union[str, Any]				       =							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)














"""simple docstring"""




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

_snake_case          =   TypeVar('_T')






class        UpperCamelCase			(	Generic[_T]      ):


 def __init__(     self		:						Optional[int]							,						UpperCAmelCase__		:						Iterable[_T] | None = None							)					->       None:
   _a  :       list[_T]             =	list(iterable or []							)
   _a  :       list[_T]             =	[]


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


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


 def _lowercase	(     self		:						Union[str, Any]							,						UpperCAmelCase__		:						_T							)					->       None:
   self._stacka.append(UpperCAmelCase__							)







 def _lowercase	(     self		:						Optional[Any]							)					->       _T:
   _a  :       Any             =	self._stacka.pop
   _a  :       Union[str, 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()

