





"""simple docstring"""


import argparse
import json

from tqdm import tqdm




def 					lowercase__    (					)					->		Dict:




      """simple docstring"""

      _UpperCamelCase      :	Any						=       argparse.ArgumentParser()

      # Required parameters
      parser.add_argument(
          "--src_path"		,type=lowercase_		,default="biencoder-nq-dev.json"		,help="Path to raw DPR training data"		,)
      parser.add_argument(
          "--evaluation_set"		,type=lowercase_		,help="where to store parsed evaluation_set file"		,)
      parser.add_argument(
          "--gold_data_path"		,type=lowercase_		,help="where to store parsed gold_data_path file"		,)
      _UpperCamelCase      :	Union[str, Any]						=       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      :	Dict						=       json.load(lowercase_			)
            for dpr_record in tqdm(lowercase_			):
                  _UpperCamelCase      :	str						=       dpr_record["question"]
                  _UpperCamelCase      :	Dict						=       [context["title"] for context in dpr_record["positive_ctxs"]]
                  eval_file.write(question + "\n"			)
                  gold_file.write("\t".join(lowercase_			) + "\n"			)


if __name__ == "__main__":
  main()







"""simple docstring"""


def 					lowercase__    (					lowercase_		,lowercase_			)					->		None:




      """simple docstring"""

      _UpperCamelCase      :	List[Any]						=       len(lowercase_			)
      print("The following activities are selected:"			)

      # The first activity is always selected
      _UpperCamelCase      :	List[Any]						=       0
      print(lowercase_		,end=","			)

      # Consider rest of the activities
      for j in range(lowercase_			):
            # If this activity has start time greater than
            # or equal to the finish time of previously
            # selected activity, then select it
            if start[j] >= finish[i]:
                  print(lowercase_		,end=","			)
                  _UpperCamelCase      :	Optional[Any]						=       j


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  lowerCamelCase__				  =   [1, 3, 0, 5, 8, 5]
  lowerCamelCase__				  =   [2, 4, 6, 7, 9, 9]
  print_max_activities(start, finish)
