


"""simple docstring"""




class 					lowerCAmelCase	(					lowerCamelCase_    ):




		'''simple docstring'''







		pass





class 					lowerCAmelCase	(					lowerCamelCase_    ):




		'''simple docstring'''







		pass





class 					lowerCAmelCase	:




		'''simple docstring'''







		def __init__(	self				)     ->							Union[str, Any]:
								SCREAMING_SNAKE_CASE													=					[
								    [],
								    [],
								    [],
								]







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







		def 							__A						(	self				)     ->							int:
								for queue in self.queues:
														if queue:
																				return queue.pop(0				)
								raise UnderFlowError('All queues are empty'				)







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





class 					lowerCAmelCase	:




		'''simple docstring'''







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







		def 							__A						(	self						,       lowerCAmelCase__				)     ->							None:
								if len(self.queue				) == 100:
														raise OverFlowError('Maximum queue size is 100'				)
								self.queue.append(lowerCAmelCase__				)







		def 							__A						(	self				)     ->							int:
								if not self.queue:
														raise UnderFlowError('The queue is empty'				)
								else:
														SCREAMING_SNAKE_CASE													=					min(self.queue				)
														self.queue.remove(lowerCAmelCase__				)
														return data







		def __str__(	self				)     ->							str:
								return str(self.queue				)





def     lowercase			()   ->						Optional[Any]:
						SCREAMING_SNAKE_CASE													=					FixedPriorityQueue()
						fpq.enqueue(0 ,			10  )
						fpq.enqueue(1 ,			70  )
						fpq.enqueue(0 ,			1_00  )
						fpq.enqueue(2 ,			1  )
						fpq.enqueue(2 ,			5  )
						fpq.enqueue(1 ,			7  )
						fpq.enqueue(2 ,			4  )
						fpq.enqueue(1 ,			64  )
						fpq.enqueue(0 ,			1_28  )
						print(SCREAMING_SNAKE_CASE_  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(SCREAMING_SNAKE_CASE_  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )
						print(fpq.dequeue()  )


def     lowercase			()   ->						Any:
						SCREAMING_SNAKE_CASE													=					ElementPriorityQueue()
						epq.enqueue(10  )
						epq.enqueue(70  )
						epq.enqueue(1_00  )
						epq.enqueue(1  )
						epq.enqueue(5  )
						epq.enqueue(7  )
						epq.enqueue(4  )
						epq.enqueue(64  )
						epq.enqueue(1_28  )
						print(SCREAMING_SNAKE_CASE_  )
						print(epq.dequeue()  )
						print(epq.dequeue()  )
						print(epq.dequeue()  )
						print(epq.dequeue()  )
						print(epq.dequeue()  )
						print(SCREAMING_SNAKE_CASE_  )
						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_tf_available,
    is_torch_available,
    is_vision_available,
)


__UpperCamelCase						=      {
    '''configuration_blip''': [
        '''BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''BlipConfig''',
        '''BlipTextConfig''',
        '''BlipVisionConfig''',
    ],
    '''processing_blip''': ['''BlipProcessor'''],
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__UpperCamelCase						=      ['''BlipImageProcessor''']


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__UpperCamelCase						=      [
	    '''BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''BlipModel''',
	    '''BlipPreTrainedModel''',
	    '''BlipForConditionalGeneration''',
	    '''BlipForQuestionAnswering''',
	    '''BlipVisionModel''',
	    '''BlipTextModel''',
	    '''BlipForImageTextRetrieval''',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__UpperCamelCase						=      [
	    '''TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFBlipModel''',
	    '''TFBlipPreTrainedModel''',
	    '''TFBlipForConditionalGeneration''',
	    '''TFBlipForQuestionAnswering''',
	    '''TFBlipVisionModel''',
	    '''TFBlipTextModel''',
	    '''TFBlipForImageTextRetrieval''',
	]

if TYPE_CHECKING:
	from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
	from .processing_blip import BlipProcessor

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .image_processing_blip import BlipImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_blip import (
		    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    BlipForConditionalGeneration,
		    BlipForImageTextRetrieval,
		    BlipForQuestionAnswering,
		    BlipModel,
		    BlipPreTrainedModel,
		    BlipTextModel,
		    BlipVisionModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_blip import (
		    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFBlipForConditionalGeneration,
		    TFBlipForImageTextRetrieval,
		    TFBlipForQuestionAnswering,
		    TFBlipModel,
		    TFBlipPreTrainedModel,
		    TFBlipTextModel,
		    TFBlipVisionModel,
		)

else:
	import sys

	__UpperCamelCase						=      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


