
import argparse
import json

from tqdm import tqdm



def       __lowerCAmelCase      (						):
	UpperCAmelCase_       				=			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"       ,     )
	UpperCAmelCase_       				=			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:
		UpperCAmelCase_       				=			json.load(__A    )
		for dpr_record in tqdm(__A    ):
			UpperCAmelCase_       				=			dpr_record["question"]
			UpperCAmelCase_       				=			[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()


from __future__ import annotations

class 						__UpperCamelCase    :




	def __init__(		self	:						Optional[Any]		,	lowerCAmelCase	:						str		,	lowerCAmelCase	:						str							):


		'''simple docstring'''







		UpperCAmelCase_				,   UpperCAmelCase_       				=			text, pattern
		UpperCAmelCase_				,   UpperCAmelCase_       				=			len(lowerCAmelCase							), len(lowerCAmelCase							)




	def       __A					(		self	:						List[str]		,	lowerCAmelCase	:						str							):


		'''simple docstring'''







		for i in range(self.patLen - 1		,	-1		,	-1							):
			if char == self.pattern[i]:
				return i
		return -1




	def       __A					(		self	:						int		,	lowerCAmelCase	:						int							):


		'''simple docstring'''







		for i in range(self.patLen - 1		,	-1		,	-1							):
			if self.pattern[i] != self.text[current_pos + i]:
				return current_pos + i
		return -1




	def       __A					(		self	:						str							):


		'''simple docstring'''







		UpperCAmelCase_       				=			[]
		for i in range(self.textLen - self.patLen + 1							):
			UpperCAmelCase_       				=			self.mismatch_in_text(lowerCAmelCase							)
			if mismatch_index == -1:
				positions.append(lowerCAmelCase							)
			else:
				UpperCAmelCase_       				=			self.match_in_pattern(self.text[mismatch_index]							)
				UpperCAmelCase_       				=			(
				    mismatch_index - match_index
				)  # shifting index lgtm [py/multiple-definition]
		return positions


_a:    Dict 							=			"""ABAABA"""
_a:    Union[str, Any] 							=			"""AB"""
_a:    str 							=			BoyerMooreSearch(text, pattern)
_a:    Dict 							=			bms.bad_character_heuristic()

if len(positions) == 0:
				print("""No match found""")
else:
				print("""Pattern found in following positions: """)
				print(positions)