



'''simple docstring'''






class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	pass

class        SCREAMING_SNAKE_CASE(							A__    ):







	"""simple docstring"""






	pass

class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  List[Any]	)    ->	Optional[Any]:
								UpperCAmelCase				: int											=	[
								    [],
								    [],
								    [],
								]







	def   A			(		self    :  str	,    __snake_case    :  int	,    __snake_case    :  int	)    ->	None:
								try:
															if len(self.queues[priority]	) >= 100:
																						raise OverflowError('''Maximum queue size is 100'''	)
															self.queues[priority].append(__snake_case	)
								except IndexError:
															raise ValueError('''Valid priorities are 0, 1, and 2'''	)







	def   A			(		self    :  List[str]	)    ->	int:
								for queue in self.queues:
															if queue:
																						return queue.pop(0	)
								raise UnderFlowError('''All queues are empty'''	)







	def __str__(		self    :  int	)    ->	str:
								return "\n".join(F"""Priority {i}: {q}""" for i, q in enumerate(self.queues	)	)

class        SCREAMING_SNAKE_CASE:







	"""simple docstring"""






	def __init__(		self    :  Optional[Any]	)    ->	Optional[Any]:
								UpperCAmelCase				: Optional[Any]											=	[]







	def   A			(		self    :  Any	,    __snake_case    :  int	)    ->	None:
								if len(self.queue	) == 100:
															raise OverFlowError('''Maximum queue size is 100'''	)
								self.queue.append(__snake_case	)







	def   A			(		self    :  Tuple	)    ->	int:
								if not self.queue:
															raise UnderFlowError('''The queue is empty'''	)
								else:
															UpperCAmelCase				: int											=	min(self.queue	)
															self.queue.remove(__snake_case	)
															return data







	def __str__(		self    :  Optional[Any]	)    ->	str:
								return str(self.queue	)


def 				snake_case_  (      )   ->     Tuple:
							UpperCAmelCase				: List[str]											=	FixedPriorityQueue()
							fpq.enqueue(0     ,   10						)
							fpq.enqueue(1     ,   70						)
							fpq.enqueue(0     ,   100						)
							fpq.enqueue(2     ,   1						)
							fpq.enqueue(2     ,   5						)
							fpq.enqueue(1     ,   7						)
							fpq.enqueue(2     ,   4						)
							fpq.enqueue(1     ,   64						)
							fpq.enqueue(0     ,   128						)
							print(_lowerCAmelCase						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(_lowerCAmelCase						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)
							print(fpq.dequeue()						)


def 				snake_case_  (      )   ->     Tuple:
							UpperCAmelCase				: Any											=	ElementPriorityQueue()
							epq.enqueue(10						)
							epq.enqueue(70						)
							epq.enqueue(100						)
							epq.enqueue(1						)
							epq.enqueue(5						)
							epq.enqueue(7						)
							epq.enqueue(4						)
							epq.enqueue(64						)
							epq.enqueue(128						)
							print(_lowerCAmelCase						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(_lowerCAmelCase						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)
							print(epq.dequeue()						)


if __name__ == "__main__":
						fixed_priority_queue()
						element_priority_queue()










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__:     Union[str, Any]										=    {
    "configuration_lilt": ["LILT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LiltConfig"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__:     List[str]										=    [
						    "LILT_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "LiltForQuestionAnswering",
						    "LiltForSequenceClassification",
						    "LiltForTokenClassification",
						    "LiltModel",
						    "LiltPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_lilt import LILT_PRETRAINED_CONFIG_ARCHIVE_MAP, LiltConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_lilt import (
												    LILT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    LiltForQuestionAnswering,
												    LiltForSequenceClassification,
												    LiltForTokenClassification,
												    LiltModel,
												    LiltPreTrainedModel,
												)

else:
						import sys

						UpperCamelCase__:     Optional[Any]										=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





