






'''simple docstring'''

import pytest

from datasets import inspect_metric, list_metrics, load_metric
@pytest.fixture
def     __lowercase  (_lowercase     )   ->     List[Any]:


     """simple docstring"""
     monkeypatch.setattr("""datasets.utils.deprecation_utils._emitted_deprecation_warnings""",						set()     )
@pytest.fixture
def     __lowercase  (_lowercase     )   ->     List[Any]:


     """simple docstring"""







     class 	SCREAMING_SNAKE_CASE	:




            def __init__(					self      : List[str]	,    A__      : Tuple					):


                 """simple docstring"""







                 __lowerCamelCase						:       Any				   =				metric_id







     class 	SCREAMING_SNAKE_CASE	:
            snake_case__    :     List[Any]   		=			[MetricMock(lowerCAmelCase_  ) for metric_id in ['accuracy', 'mse', 'precision', 'codeparrot/apps_metric']]




            def 					a_					(					self      : int					):


                 """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     __lowercase  (_lowercase,						_lowercase,						_lowercase,						_lowercase,						_lowercase     )   ->     Any:


     """simple docstring"""
     if "tmp_path" in args:
          __lowerCamelCase						:       Optional[Any]				   =				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     __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()



