





'''simple docstring'''

import requests
from bsa import BeautifulSoup
def     __lowercase  (_lowercase,						_lowercase     )   ->     str:


     """simple docstring"""
     __lowerCamelCase						:       int				   =				BeautifulSoup(requests.get(_lowercase,						params=_lowercase     ).content,						"""html.parser"""     )
     __lowerCamelCase						:       Tuple				   =				soup.find("""div""",						attrs={"""class""": """gs_ri"""}     )
     __lowerCamelCase						:       Optional[int]				   =				div.find("""div""",						attrs={"""class""": """gs_fl"""}     ).find_all("""a"""     )
     return anchors[2].get_text()


if __name__ == "__main__":
   UpperCAmelCase__						:int          =			{
       """title""": (
           """Precisely geometry controlled microsupercapacitors for ultrahigh areal """
           """capacitance, volumetric capacitance, and energy density"""
       ),
       """journal""": """Chem. Mater.""",
       """volume""": 30,
       """pages""": """3979-3990""",
       """year""": 2_018,
       """hl""": """en""",
   }
   print(get_citation("""https://scholar.google.com/scholar_lookup""", params=params))











'''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()



