






'''simple docstring'''

from collections import deque

from .hash_table import HashTable







class 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):




       def __init__(					self      : str	,    *A__      : Dict	,    **A__      : Union[str, Any]					):


            """simple docstring"""







            super().__init__(*A__	,    **A__					)




       def 					a_					(					self      : Any	,    A__      : List[Any]	,    A__      : Union[str, Any]					):


            """simple docstring"""







            __lowerCamelCase						:       Tuple				   =				deque([]					) if self.values[key] is None else self.values[key]
            self.values[key].appendleft(A__					)
            __lowerCamelCase						:       Optional[int]				   =				self.values[key]




       def 					a_					(					self      : Union[str, Any]					):


            """simple docstring"""







            return (
                sum(self.charge_factor - len(A__					) for slot in self.values					)
                / self.size_table
                * self.charge_factor
            )




       def 					a_					(					self      : List[Any]	,    A__      : Any	,    A__      : Union[str, Any]=None					):


            """simple docstring"""







            if not (
                len(self.values[key]					) == self.charge_factor and self.values.count(A__					) == 0
            ):
                 return key
            return super()._collision_resolution(A__	,    A__					)











'''simple docstring'''

import argparse
import json

from tqdm import tqdm
def     __lowercase  ()   ->     Tuple:


     """simple docstring"""
     __lowerCamelCase						:       Union[str, 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""",						)
     __lowerCamelCase						:       Tuple				   =				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						:       int				   =				json.load(_lowercase     )
          for dpr_record in tqdm(_lowercase     ):
               __lowerCamelCase						:       List[Any]				   =				dpr_record["""question"""]
               __lowerCamelCase						:       List[str]				   =				[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()



