



"""simple docstring"""

class     lowerCAmelCase__						:


	'''simple docstring'''







	def __init__(      self				:       Optional[int]     ,       _SCREAMING_SNAKE_CASE				:       str = ""     ,       _SCREAMING_SNAKE_CASE				:       bool = False    )						->	None:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							dict[str, RadixNode]							=     {}

					# A node will be a leaf if the tree contains its word
					SCREAMING_SNAKE_CASE						:							Optional[Any]							=     is_leaf

					SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     prefix





	def 			_lowerCAmelCase     (      self				:       Tuple     ,       _SCREAMING_SNAKE_CASE				:       str    )						->	tuple[str, str, str]:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							List[Any]							=     0
					for q, w in zip(self.prefix     ,       _SCREAMING_SNAKE_CASE    ):
									if q != w:
													break

									x += 1

					return self.prefix[:x], self.prefix[x:], word[x:]





	def 			_lowerCAmelCase     (      self				:       int     ,       _SCREAMING_SNAKE_CASE				:       list[str]    )						->	None:





					"""simple docstring"""


					for word in words:
									self.insert(_SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       Union[str, Any]     ,       _SCREAMING_SNAKE_CASE				:       str    )						->	None:





					"""simple docstring"""


					if self.prefix == word:
									SCREAMING_SNAKE_CASE						:							List[str]							=     True

					# Case 2: The node has no edges that have a prefix to the word
					# Solution: We create an edge from the current node to a new one
					# containing the word
					elif word[0] not in self.nodes:
									SCREAMING_SNAKE_CASE						:							Optional[Any]							=     RadixNode(prefix=_SCREAMING_SNAKE_CASE     ,       is_leaf=_SCREAMING_SNAKE_CASE    )

					else:
									SCREAMING_SNAKE_CASE						:							int							=     self.nodes[word[0]]
									SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     incoming_node.match(
									    _SCREAMING_SNAKE_CASE    )

									# Case 3: The node prefix is equal to the matching
									# Solution: We insert remaining word on the next node
									if remaining_prefix == "":
													self.nodes[matching_string[0]].insert(_SCREAMING_SNAKE_CASE    )

									# Case 4: The word is greater equal to the matching
									# Solution: Create a node in between both nodes, change
									# prefixes and add the new node for the remaining word
									else:
													SCREAMING_SNAKE_CASE						:							Optional[Any]							=     remaining_prefix

													SCREAMING_SNAKE_CASE						:							List[str]							=     self.nodes[matching_string[0]]
													SCREAMING_SNAKE_CASE						:							List[str]							=     RadixNode(_SCREAMING_SNAKE_CASE     ,       _SCREAMING_SNAKE_CASE    )
													SCREAMING_SNAKE_CASE						:							Tuple							=     aux_node

													if remaining_word == "":
																	SCREAMING_SNAKE_CASE						:							Optional[int]							=     True
													else:
																	self.nodes[matching_string[0]].insert(_SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       str     ,       _SCREAMING_SNAKE_CASE				:       str    )						->	bool:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							Any							=     self.nodes.get(word[0]     ,       _SCREAMING_SNAKE_CASE    )
					if not incoming_node:
									return False
					else:
									SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						:							Optional[int]							=     incoming_node.match(
									    _SCREAMING_SNAKE_CASE    )
									# If there is remaining prefix, the word can't be on the tree
									if remaining_prefix != "":
													return False
									# This applies when the word and the prefix are equal
									elif remaining_word == "":
													return incoming_node.is_leaf
									# We have word remaining so we check the next node
									else:
													return incoming_node.find(_SCREAMING_SNAKE_CASE    )





	def 			_lowerCAmelCase     (      self				:       Optional[Any]     ,       _SCREAMING_SNAKE_CASE				:       str    )						->	bool:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE						:							int							=     self.nodes.get(word[0]     ,       _SCREAMING_SNAKE_CASE    )
					if not incoming_node:
									return False
					else:
									SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     incoming_node.match(
									    _SCREAMING_SNAKE_CASE    )
									# If there is remaining prefix, the word can't be on the tree
									if remaining_prefix != "":
													return False
									# We have word remaining so we check the next node
									elif remaining_word != "":
													return incoming_node.delete(_SCREAMING_SNAKE_CASE    )
									else:
													# If it is not a leaf, we don't have to delete
													if not incoming_node.is_leaf:
																	return False
													else:
																	# We delete the nodes if no edges go from it
																	if len(incoming_node.nodes    ) == 0:
																					del self.nodes[word[0]]
																					# We merge the current node with its only child
																					if len(self.nodes    ) == 1 and not self.is_leaf:
																									SCREAMING_SNAKE_CASE						:							Tuple							=     list(self.nodes.values()    )[0]
																									SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     merging_node.is_leaf
																									self.prefix += merging_node.prefix
																									SCREAMING_SNAKE_CASE						:							Dict							=     merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																	elif len(incoming_node.nodes    ) > 1:
																					SCREAMING_SNAKE_CASE						:							int							=     False
																	# If there is 1 edge, we merge it with its child
																	else:
																					SCREAMING_SNAKE_CASE						:							Any							=     list(incoming_node.nodes.values()    )[0]
																					SCREAMING_SNAKE_CASE						:							List[str]							=     merging_node.is_leaf
																					incoming_node.prefix += merging_node.prefix
																					SCREAMING_SNAKE_CASE						:							List[Any]							=     merging_node.nodes

																	return True







	def 			_lowerCAmelCase     (      self				:       Any     ,       _SCREAMING_SNAKE_CASE				:       int = 0    )						->	None:





					"""simple docstring"""


					if self.prefix != "":
									print('-' * height     ,       self.prefix     ,       '  (leaf)' if self.is_leaf else ''    )

					for value in self.nodes.values():
									value.print_tree(height + 1    )




def  __snake_case							(	)     ->       bool:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							int							=     'banana bananas bandana band apple all beast'.split()
				SCREAMING_SNAKE_CASE						:							Optional[Any]							=     RadixNode()
				root.insert_many(__A     )

				assert all(root.find(__A     ) for word in words     )
				assert not root.find('bandanas'     )
				assert not root.find('apps'     )
				root.delete('all'     )
				assert not root.find('all'     )
				root.delete('banana'     )
				assert not root.find('banana'     )
				assert root.find('bananas'     )

				return True
def  __snake_case							(	)     ->       None:






				'''simple docstring'''
				assert test_trie()
def  __snake_case							(	)     ->       None:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Tuple							=     RadixNode()
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     'banana bananas bandanas bandana band apple all beast'.split()
				root.insert_many(__A     )

				print('Words:'							,		__A     )
				print('Tree:'     )
				root.print_tree()


if __name__ == "__main__":
							main()










"""simple docstring"""

import argparse
import json

from tqdm import tqdm
def  __snake_case							(	)     ->       Any:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							str							=     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'							,		)
				SCREAMING_SNAKE_CASE						:							Tuple							=     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:
								SCREAMING_SNAKE_CASE						:							Tuple							=     json.load(__A     )
								for dpr_record in tqdm(__A     ):
												SCREAMING_SNAKE_CASE						:							Tuple							=     dpr_record['question']
												SCREAMING_SNAKE_CASE						:							Optional[int]							=     [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()





