





'''simple docstring'''


def    _lowerCamelCase  (__lowerCamelCase  :     Tuple     )   ->    List[str]:
			stooge(__lowerCamelCase					,  0					,  len(__lowerCamelCase     ) - 1     )
			return arr







def    _lowerCamelCase  (__lowerCamelCase  :     Any					,  __lowerCamelCase  :     List[Any]					,  __lowerCamelCase  :     List[Any]     )   ->    Tuple:
			if i >= h:
						return

			# If first element is smaller than the last then swap them
			if arr[i] > arr[h]:
						a__   ,				a__     = arr[h], arr[i]

			# If there are more than 2 elements in the array
			if h - i + 1 > 2:
						a__     = (int)((h - i + 1) / 3     )

						# Recursively sort first 2/3 elements
						stooge(__lowerCamelCase					,  __lowerCamelCase					,  (h - t)     )

						# Recursively sort last 2/3 elements
						stooge(__lowerCamelCase					,  i + t					,  (__lowerCamelCase)     )

						# Recursively sort first 2/3 elements
						stooge(__lowerCamelCase					,  __lowerCamelCase					,  (h - t)     )


if __name__ == "__main__":
		lowerCAmelCase_   :   str       =					input("Enter numbers separated by a comma:\n").strip()
		lowerCAmelCase_   :   Optional[int]       =					[int(item) for item in user_input.split(",")]
		print(stooge_sort(unsorted))










'''simple docstring'''


import argparse
import json

from tqdm import tqdm







def    _lowerCamelCase  ()   ->    Any:
			a__     = 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"					,  )
			a__     = 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__     = json.load(__lowerCamelCase     )
						for dpr_record in tqdm(__lowerCamelCase     ):
									a__     = dpr_record["question"]
									a__     = [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()



