



"""simple docstring"""

from math import isqrt
def  __snake_case							(	__A      :						int     )     ->       list[int]:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     [True] * max_number
				for i in range(2							,		isqrt(max_number - 1     ) + 1     ):
								if is_prime[i]:
												for j in range(i**2							,		__A							,		__A     ):
																SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     False

				return [i for i in range(2							,		__A     ) if is_prime[i]]
def  __snake_case							(	__A      :						int = 10**8     )     ->       int:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							List[str]							=     calculate_prime_numbers(max_number // 2     )

				SCREAMING_SNAKE_CASE						:							Any							=     0
				SCREAMING_SNAKE_CASE						:							Optional[int]							=     0
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     len(__A     ) - 1
				while left <= right:
								while prime_numbers[left] * prime_numbers[right] >= max_number:
												right -= 1
								semiprimes_count += right - left + 1
								left += 1

				return semiprimes_count


if __name__ == "__main__":
							print(f'''{solution() = }''')










"""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()





