from __future__ import annotations

snake_case__				= 8.988E9  # units = N * m^s * C^-2
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase ,						__UpperCAmelCase		)						->    dict[str, float]:



						'''simple docstring'''

						_lowerCamelCase			    =				abs(chargea * chargea		)

						if (force, chargea, chargea, distance).count(0		) != 1:
												raise ValueError('''One and only one argument must be 0'''		)
						if distance < 0:
												raise ValueError('''Distance cannot be negative'''		)
						if force == 0:
												_lowerCamelCase			    =				COULOMBS_CONSTANT * charge_product / (distance**2)
												return {"force": force}
						elif chargea == 0:
												_lowerCamelCase			    =				abs(__UpperCAmelCase		) * (distance**2) / (COULOMBS_CONSTANT * chargea)
												return {"charge1": chargea}
						elif chargea == 0:
												_lowerCamelCase			    =				abs(__UpperCAmelCase		) * (distance**2) / (COULOMBS_CONSTANT * chargea)
												return {"charge2": chargea}
						elif distance == 0:
												_lowerCamelCase			    =				(COULOMBS_CONSTANT * charge_product / abs(__UpperCAmelCase		)) ** 0.5
												return {"distance": distance}
						raise ValueError('''Exactly one argument must be 0'''		)


if __name__ == "__main__":
					import doctest

					doctest.testmod()
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()