





class 			UpperCamelCase_		:




     def __init__(		self				,						lowerCAmelCase_  )		->							List[str]:
          _snake_case									=				n
          _snake_case									=				[None] * self.n
          _snake_case									=				0  # index of the first element
          _snake_case									=				0
          _snake_case									=				0




     def __len__(		self  )		->							int:
          return self.size




     def 	lowerCAmelCase			(		self  )		->							bool:
          return self.size == 0




     def 	lowerCAmelCase			(		self  )		->							Optional[int]:
          return False if self.is_empty() else self.array[self.front]




     def 	lowerCAmelCase			(		self				,						lowerCAmelCase_  )		->							Union[str, Any]:







          if self.size >= self.n:
               raise Exception('QUEUE IS FULL'  )

          _snake_case									=				data
          _snake_case									=				(self.rear + 1) % self.n
          self.size += 1
          return self






     def 	lowerCAmelCase			(		self  )		->							int:







          if self.size == 0:
               raise Exception('UNDERFLOW'  )

          _snake_case									=				self.array[self.front]
          _snake_case									=				None
          _snake_case									=				(self.front + 1) % self.n
          self.size -= 1
          return temp










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


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

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase_      							=     [
					    """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

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



