"""simple docstring"""






import argparse
import json

from tqdm import tqdm




def 						SCREAMING_SNAKE_CASE					(  )							->   Optional[int]:
				SCREAMING_SNAKE_CASE__		  =				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"  ,					)
				SCREAMING_SNAKE_CASE__		  =				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__		  =				json.load(lowerCamelCase_       )
								for dpr_record in tqdm(lowerCamelCase_       ):
												SCREAMING_SNAKE_CASE__		  =				dpr_record["""question"""]
												SCREAMING_SNAKE_CASE__		  =				[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()





"""simple docstring"""






from math import pi




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase  ,					__UpperCAmelCase       )							->   float:
				return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
						print(arc_length(9_0, 1_0))




