def       __magic_name__(  __UpperCAmelCase		)						->    Optional[Any]:



						'''simple docstring'''

						stooge(__snake_case ,						0 ,						len(__snake_case		) - 1		)
						return arr
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase		)						->    List[Any]:



						'''simple docstring'''

						if i >= h:
												return

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

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

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

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

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


if __name__ == "__main__":
					snake_case__				= input('Enter numbers separated by a comma:\n').strip()
					snake_case__				= [int(item) for item in user_input.split(',')]
					print(stooge_sort(unsorted))
import argparse
import json

from tqdm import tqdm
def       __magic_name__(  )						->    List[str]:



      '''simple docstring'''

      _lowerCamelCase			    =				argparse.ArgumentParser()

      # Required parameters
      parser.add_argument(
          '''--src_path''' ,						type=__UpperCAmelCase ,						default='''biencoder-nq-dev.json''' ,						help='''Path to raw DPR training data''' ,						)
      parser.add_argument(
          '''--evaluation_set''' ,						type=__UpperCAmelCase ,						help='''where to store parsed evaluation_set file''' ,						)
      parser.add_argument(
          '''--gold_data_path''' ,						type=__UpperCAmelCase ,						help='''where to store parsed gold_data_path file''' ,						)
      _lowerCamelCase			    =				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:
            _lowerCamelCase			    =				json.load(__UpperCAmelCase		)
            for dpr_record in tqdm(__UpperCAmelCase		):
                  _lowerCamelCase			    =				dpr_record['''question''']
                  _lowerCamelCase			    =				[context['''title'''] for context in dpr_record['''positive_ctxs''']]
                  eval_file.write(question + '''\n'''		)
                  gold_file.write('''\t'''.join(__UpperCAmelCase		) + '''\n'''		)


if __name__ == "__main__":
     main()