





class 						_A:


				"""simple docstring"""


				def __init__(			self     ,					_A     ,					_A     ):
									__A	:						Optional[int]       =				name
									__A	:						List[str]       =				val



				def __str__(			self     ):
									return F"""{self.__class__.__name__}({self.name}, {self.val})"""





				def __lt__(			self     ,					_A     ):
									return self.val < other.val





class 						_A:


				"""simple docstring"""


				def __init__(			self     ,					_A     ):
									__A	:						List[Any]       =				{}
									__A	:						List[Any]       =				{}
									__A	:						str       =				self.build_heap(_A     )



				def __getitem__(			self     ,					_A     ):
									return self.get_value(_A     )



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return (idx - 1) // 2



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return idx * 2 + 1



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return idx * 2 + 2



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									return self.heap_dict[key]



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									__A	:						List[str]       =				len(_A     ) - 1
									__A	:						Optional[Any]       =				self.get_parent_idx(_A     )

									for idx, i in enumerate(_A     ):
														__A	:						Union[str, Any]       =				idx
														__A	:						Any       =				i.val

									for i in range(_A     ,					-1     ,					-1     ):
														self.sift_down(_A     ,					_A     )
									return array



				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A     ):
									while True:
														__A	:						Any       =				self.get_left_child_idx(_A     )  # noqa: E741
														__A	:						Any       =				self.get_right_child_idx(_A     )

														__A	:						Dict       =				idx
														if l < len(_A     ) and array[l] < array[idx]:
																			__A	:						Any       =				l
														if r < len(_A     ) and array[r] < array[smallest]:
																			__A	:						Tuple       =				r

														if smallest != idx:
																			__A    ,				__A	:						Optional[int]       =				array[smallest], array[idx]
																			(
																			    (
																			    __A
																			)    ,				(
																			    __A
																			)    ,				
																			)	:						Tuple       =				(
																			    self.idx_of_element[array[smallest]],
																			    self.idx_of_element[array[idx]],
																			)
																			__A	:						str       =				smallest
														else:
																			break



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									__A	:						List[Any]       =				self.get_parent_idx(_A     )
									while p >= 0 and self.heap[p] > self.heap[idx]:
														__A    ,				__A	:						List[Any]       =				self.heap[idx], self.heap[p]
														__A    ,				__A	:						Tuple       =				(
														    self.idx_of_element[self.heap[idx]],
														    self.idx_of_element[self.heap[p]],
														)
														__A	:						List[Any]       =				p
														__A	:						int       =				self.get_parent_idx(_A     )



				def 					UpperCAmelCase_		(			self     ):
									return self.heap[0]



				def 					UpperCAmelCase_		(			self     ):
									__A    ,				__A	:						Any       =				self.heap[-1], self.heap[0]
									__A    ,				__A	:						Any       =				(
									    self.idx_of_element[self.heap[-1]],
									    self.idx_of_element[self.heap[0]],
									)

									__A	:						Tuple       =				self.heap.pop()
									del self.idx_of_element[x]
									self.sift_down(0     ,					self.heap     )
									return x



				def 					UpperCAmelCase_		(			self     ,					_A     ):
									self.heap.append(_A     )
									__A	:						Any       =				len(self.heap     ) - 1
									__A	:						str       =				node.val
									self.sift_up(len(self.heap     ) - 1     )



				def 					UpperCAmelCase_		(			self     ):
									return len(self.heap     ) == 0





				def 					UpperCAmelCase_		(			self     ,					_A     ,					_A     ):
									assert (
									    self.heap[self.idx_of_element[node]].val > new_value
									), "newValue must be less that current value"
									__A	:						Dict       =				new_value
									__A	:						int       =				new_value
									self.sift_up(self.idx_of_element[node]     )




UpperCAmelCase						:   Union[str, Any]			  =     Node('''R''', -1)
UpperCAmelCase						:   Optional[int]			  =     Node('''B''', 6)
UpperCAmelCase						:   Optional[Any]			  =     Node('''A''', 3)
UpperCAmelCase						:   int			  =     Node('''X''', 1)
UpperCAmelCase						:   List[Any]			  =     Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
UpperCAmelCase						:   Optional[int]			  =     MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
				print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -17)

# After
for i in my_min_heap.heap:
				print(i)

if __name__ == "__main__":
				import doctest

				doctest.testmod()











import argparse
import json

from tqdm import tqdm







def  _SCREAMING_SNAKE_CASE				(   )      ->      List[Any]:
					__A	:						Tuple       =				argparse.ArgumentParser()

					# Required parameters
					parser.add_argument(
					    '--src_path'					,						type=a					,						default='biencoder-nq-dev.json'					,						help='Path to raw DPR training data'					,						)
					parser.add_argument(
					    '--evaluation_set'					,						type=a					,						help='where to store parsed evaluation_set file'					,						)
					parser.add_argument(
					    '--gold_data_path'					,						type=a					,						help='where to store parsed gold_data_path file'					,						)
					__A	:						Optional[int]       =				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	:						List[Any]       =				json.load(a  )
										for dpr_record in tqdm(a  ):
															__A	:						Dict       =				dpr_record['question']
															__A	:						Any       =				[context['title'] for context in dpr_record['positive_ctxs']]
															eval_file.write(question + '\n'  )
															gold_file.write('\t'.join(a  ) + '\n'  )


if __name__ == "__main__":
				main()




