



from __future__ import annotations

from typing import Generic, TypeVar

__UpperCAmelCase       =   TypeVar('''T''')


class 		lowerCamelCase__       (						lowerCamelCase__      ):
						pass


class 		lowerCamelCase__       (						lowerCamelCase__      ):
						pass


class 		lowerCamelCase__       (						Generic[T]      ):


						def __init__(       self  :     List[str]					,				_a  :     List[Any] = 1_0	):
													a__:				List[Any] 							=[]
													a__:				Optional[Any] 							=limit


						def __bool__(       self  :     str	):
													return bool(self.stack	)


						def __str__(       self  :     Union[str, Any]	):
													return str(self.stack	)


						def      _lowerCamelCase	(       self  :     Optional[Any]					,				_a  :     Union[str, Any]	):
													if len(self.stack	) >= self.limit:
																				raise StackOverflowError
													self.stack.append(_UpperCAmelCase	)


						def      _lowerCamelCase	(       self  :     Optional[int]	):
													if not self.stack:
																				raise StackUnderflowError
													return self.stack.pop()


						def      _lowerCamelCase	(       self  :     str	):
													if not self.stack:
																				raise StackUnderflowError
													return self.stack[-1]


						def      _lowerCamelCase	(       self  :     Optional[Any]	):
													return not bool(self.stack	)


						def      _lowerCamelCase	(       self  :     List[str]	):
													return self.size() == self.limit


						def      _lowerCamelCase	(       self  :     List[str]	):
													return len(self.stack	)







						def __contains__(       self  :     str					,				_a  :     List[str]	):
													return item in self.stack





def   __lowerCamelCase				(					):
							a__:				Optional[Any] 							=Stack(10  )
							assert bool(__magic_name__  ) is False
							assert stack.is_empty() is True
							assert stack.is_full() is False
							assert str(__magic_name__  ) == "[]"

							try:
														a__:				List[Any] 							=stack.pop()
														raise AssertionError  # This should not happen
							except StackUnderflowError:
														assert True  # This should happen

							try:
														a__:				List[Any] 							=stack.peek()
														raise AssertionError  # This should not happen
							except StackUnderflowError:
														assert True  # This should happen

							for i in range(10  ):
														assert stack.size() == i
														stack.push(__magic_name__  )

							assert bool(__magic_name__  )
							assert not stack.is_empty()
							assert stack.is_full()
							assert str(__magic_name__  ) == str(list(range(10  )  )  )
							assert stack.pop() == 9
							assert stack.peek() == 8

							stack.push(100  )
							assert str(__magic_name__  ) == str([0, 1, 2, 3, 4, 5, 6, 7, 8, 100]  )

							try:
														stack.push(200  )
														raise AssertionError  # This should not happen
							except StackOverflowError:
														assert True  # This should happen

							assert not stack.is_empty()
							assert stack.size() == 10

							assert 5 in stack
							assert 55 not in stack


if __name__ == "__main__":
		test_stack()









from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase			=    {
    """configuration_big_bird""": ["""BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BigBirdConfig""", """BigBirdOnnxConfig"""],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase			=    ["""BigBirdTokenizer"""]

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase			=    ["""BigBirdTokenizerFast"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase			=    [
       """BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """BigBirdForCausalLM""",
       """BigBirdForMaskedLM""",
       """BigBirdForMultipleChoice""",
       """BigBirdForPreTraining""",
       """BigBirdForQuestionAnswering""",
       """BigBirdForSequenceClassification""",
       """BigBirdForTokenClassification""",
       """BigBirdLayer""",
       """BigBirdModel""",
       """BigBirdPreTrainedModel""",
       """load_tf_weights_in_big_bird""",
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase			=    [
       """FlaxBigBirdForCausalLM""",
       """FlaxBigBirdForMaskedLM""",
       """FlaxBigBirdForMultipleChoice""",
       """FlaxBigBirdForPreTraining""",
       """FlaxBigBirdForQuestionAnswering""",
       """FlaxBigBirdForSequenceClassification""",
       """FlaxBigBirdForTokenClassification""",
       """FlaxBigBirdModel""",
       """FlaxBigBirdPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_big_bird import BIG_BIRD_PRETRAINED_CONFIG_ARCHIVE_MAP, BigBirdConfig, BigBirdOnnxConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_big_bird import BigBirdTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_big_bird_fast import BigBirdTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_big_bird import (
          BIG_BIRD_PRETRAINED_MODEL_ARCHIVE_LIST,
          BigBirdForCausalLM,
          BigBirdForMaskedLM,
          BigBirdForMultipleChoice,
          BigBirdForPreTraining,
          BigBirdForQuestionAnswering,
          BigBirdForSequenceClassification,
          BigBirdForTokenClassification,
          BigBirdLayer,
          BigBirdModel,
          BigBirdPreTrainedModel,
          load_tf_weights_in_big_bird,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_big_bird import (
          FlaxBigBirdForCausalLM,
          FlaxBigBirdForMaskedLM,
          FlaxBigBirdForMultipleChoice,
          FlaxBigBirdForPreTraining,
          FlaxBigBirdForQuestionAnswering,
          FlaxBigBirdForSequenceClassification,
          FlaxBigBirdForTokenClassification,
          FlaxBigBirdModel,
          FlaxBigBirdPreTrainedModel,
      )

else:
   import sys

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