





lowercase      :       dict[tuple[int, int, int], int]									=  {}



def A_	(		A__		,      A__		,      A__				)  ->		int:

       # if we are absent twice, or late 3 consecutive days,
       # no further prize strings are possible
       if late == 3 or absent == 2:
              return 0

       # if we have no days left, and have not failed any other rules,
       # we have a prize string
       if days == 0:
              return 1

       # No easy solution, so now we need to do the recursive calculation

       # First, check if the combination is already in the cache, and
       # if yes, return the stored value from there since we already
       # know the number of possible prize strings from this point on
       a__						:	Any =				(days, absent, late)
       if key in cache:
              return cache[key]

       # now we calculate the three possible ways that can unfold from
       # this point on, depending on our attendance today

       # 1) if we are late (but not absent), the "absent" counter stays as
       # it is, but the "late" counter increases by one
       a__						:	List[str] =				_calculate(days - 1		,      A__		,      late + 1				)

       # 2) if we are absent, the "absent" counter increases by 1, and the
       # "late" counter resets to 0
       a__						:	int =				_calculate(days - 1		,      absent + 1		,      0				)

       # 3) if we are on time, this resets the "late" counter and keeps the
       # absent counter
       a__						:	List[str] =				_calculate(days - 1		,      A__		,      0				)

       a__						:	Dict =				state_late + state_absent + state_ontime

       a__						:	Tuple =				prizestrings
       return prizestrings



def A_	(		A__ = 30				)  ->		int:
       return _calculate(A__		,      absent=0		,      late=0				)


if __name__ == "__main__":
    print(solution())










"""simple docstring"""



import argparse
import json

from tqdm import tqdm
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       argparse.ArgumentParser()

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


if __name__ == "__main__":
    main()


