





'''simple docstring'''


class       UpperCamelCase__  (		lowercase__     ):
 pass






class       UpperCamelCase__  (		lowercase__     ):
 pass






class       UpperCamelCase__  :







 def __init__(				self			:   Dict		):




    '''simple docstring'''
    a__     = [
        [],
        [],
        [],
    ]







 def 						__a   (				self			:   Dict , lowerCamelCase			:   int , lowerCamelCase			:   int		):




    '''simple docstring'''



    try:
       if len(self.queues[priority]		) >= 1_0_0:
          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		):




    '''simple docstring'''



    for queue in self.queues:
       if queue:
          return queue.pop(0		)
    raise UnderFlowError("All queues are empty"		)







 def __str__(				self			:   Optional[Any]		):




    '''simple docstring'''
    return "\n".join(F'''Priority {i}: {q}''' for i, q in enumerate(self.queues		)		)






class       UpperCamelCase__  :







 def __init__(				self			:   List[Any]		):




    '''simple docstring'''
    a__     = []







 def 						__a   (				self			:   Optional[int] , lowerCamelCase			:   int		):




    '''simple docstring'''



    if len(self.queue		) == 1_0_0:
       raise OverFlowError("Maximum queue size is 100"		)
    self.queue.append(__lowerCamelCase		)







 def 						__a   (				self			:   Union[str, Any]		):




    '''simple docstring'''



    if not self.queue:
       raise UnderFlowError("The queue is empty"		)
    else:
       a__     = min(self.queue		)
       self.queue.remove(__lowerCamelCase		)
       return data







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




    '''simple docstring'''
    return str(self.queue		)







def    _lowerCamelCase  ()   ->    Any:
   a__     = 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(_A     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(_A     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )
   print(fpq.dequeue()     )







def    _lowerCamelCase  ()   ->    str:
   a__     = 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(_A     )
   print(epq.dequeue()     )
   print(epq.dequeue()     )
   print(epq.dequeue()     )
   print(epq.dequeue()     )
   print(epq.dequeue()     )
   print(_A     )
   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'''


import argparse
import json

from tqdm import tqdm







def    _lowerCamelCase  ()   ->    Any:
			a__     = argparse.ArgumentParser()

			# Required parameters
			parser.add_argument(
			    "--src_path"					,  type=__lowerCamelCase					,  default="biencoder-nq-dev.json"					,  help="Path to raw DPR training data"					,  )
			parser.add_argument(
			    "--evaluation_set"					,  type=__lowerCamelCase					,  help="where to store parsed evaluation_set file"					,  )
			parser.add_argument(
			    "--gold_data_path"					,  type=__lowerCamelCase					,  help="where to store parsed gold_data_path file"					,  )
			a__     = parser.parse_args()

			with open(args.src_path					,  "r"     ) as src_file, open(args.evaluation_set					,  "w"     ) as eval_file, open(
			    args.gold_data_path					,  "w"     ) as gold_file:
						a__     = json.load(__lowerCamelCase     )
						for dpr_record in tqdm(__lowerCamelCase     ):
									a__     = dpr_record["question"]
									a__     = [context["title"] for context in dpr_record["positive_ctxs"]]
									eval_file.write(question + "\n"     )
									gold_file.write("\t".join(__lowerCamelCase     ) + "\n"     )


if __name__ == "__main__":
		main()



