
"""simple docstring"""







import pytest

from datasets import inspect_metric, list_metrics, load_metric




@pytest.fixture
def       A_      (       lowercase   )  ->				List[str]:


     """simple docstring"""







     monkeypatch.setattr("""datasets.utils.deprecation_utils._emitted_deprecation_warnings"""    ,			set()   )




@pytest.fixture
def       A_      (       lowercase   )  ->				Union[str, Any]:


     """simple docstring"""







     class 		UpperCAmelCase_						:
      """simple docstring"""




      def __init__(			self							:			Tuple  , a_							:			str			)->       str:



           """simple docstring"""

           UpperCAmelCase_    :     Any            =	metric_id



     class 		UpperCAmelCase_						:
      """simple docstring"""




      UpperCamelCase_    :  Tuple					 =     [MetricMock(lowerCamelCase_    ) for metric_id in ["""accuracy""", """mse""", """precision""", """codeparrot/apps_metric"""]]




      def 	a   (			self							:			List[Any]			)->       Dict:



           """simple docstring"""

           return self._metrics

     monkeypatch.setattr("""datasets.inspect.huggingface_hub"""    ,			HfhMock()   )




@pytest.mark.parametrize(
    """func, args"""    ,			[(load_metric, ("""metrics/mse""",)), (list_metrics, ()), (inspect_metric, ("""metrics/mse""", """tmp_path"""))]   )
def       A_      (       lowercase    ,			lowercase    ,			lowercase    ,			lowercase    ,			lowercase   )  ->				Union[str, Any]:


     """simple docstring"""







     if "tmp_path" in args:
          UpperCAmelCase_    :     str            =	tuple(arg if arg != """tmp_path""" else tmp_path for arg in args   )
     with pytest.warns(lowercase    ,			match="""https://huggingface.co/docs/evaluate"""   ):
          func(*lowercase   )



"""simple docstring"""







import argparse
import json

from tqdm import tqdm




def       A_      (       )  ->				str:


     """simple docstring"""







     UpperCAmelCase_    :     List[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"""    ,			)
     UpperCAmelCase_    :     Dict            =	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:
          UpperCAmelCase_    :     List[Any]            =	json.load(lowercase   )
          for dpr_record in tqdm(lowercase   ):
               UpperCAmelCase_    :     List[Any]            =	dpr_record["""question"""]
               UpperCAmelCase_    :     Dict            =	[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()

