





'''simple docstring'''

UpperCAmelCase__						:Dict          =			{
    """joule""": 1.0,
    """kilojoule""": 1_000,
    """megajoule""": 1_000_000,
    """gigajoule""": 1_000_000_000,
    """wattsecond""": 1.0,
    """watthour""": 3_600,
    """kilowatthour""": 3_600_000,
    """newtonmeter""": 1.0,
    """calorie_nutr""": 41_86.8,
    """kilocalorie_nutr""": 4_18_68_00.00,
    """electronvolt""": 1.6_02_17_66_34e-19,
    """britishthermalunit_it""": 10_55.0_55_85,
    """footpound""": 1.35_58_18,
}
def     __lowercase  (_lowercase,						_lowercase,						_lowercase     )   ->     Dict:


     """simple docstring"""
     if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
          __lowerCamelCase						:       List[Any]				   =				(
              f"Incorrect 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"
              f"Valid values are: {', '.join(_lowerCamelCase     )}"
          )
          raise ValueError(_lowerCamelCase     )
     return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
   import doctest

   doctest.testmod()











'''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()



