
'''simple docstring'''





import argparse
import json

from tqdm import tqdm

def      A (       ):
						snake_case       :     Tuple =    argparse.ArgumentParser()

						# Required parameters
						parser.add_argument(
						    '''--src_path'''    ,							type=A_    ,							default='''biencoder-nq-dev.json'''    ,							help='''Path to raw DPR training data'''    ,							)
						parser.add_argument(
						    '''--evaluation_set'''    ,							type=A_    ,							help='''where to store parsed evaluation_set file'''    ,							)
						parser.add_argument(
						    '''--gold_data_path'''    ,							type=A_    ,							help='''where to store parsed gold_data_path file'''    ,							)
						snake_case       :     Any =    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:
												snake_case       :     List[str] =    json.load(A_       )
												for dpr_record in tqdm(A_       ):
																		snake_case       :     Any =    dpr_record['''question''']
																		snake_case       :     int =    [context['''title'''] for context in dpr_record['''positive_ctxs''']]
																		eval_file.write(question + '''\n'''       )
																		gold_file.write('''\t'''.join(A_       ) + '''\n'''       )


if __name__ == "__main__":
						main()



'''simple docstring'''





import pytest

from datasets import inspect_metric, list_metrics, load_metric

@pytest.fixture
def      A (       A_							:					str       ):
						monkeypatch.setattr('''datasets.utils.deprecation_utils._emitted_deprecation_warnings'''    ,							set()       )

@pytest.fixture
def      A (       A_							:					Optional[Any]       ):

						class 						a   :




										def __init__(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				Optional[Any]      ):
																snake_case       :     List[str] =    metric_id




						class 						a   :
										_snake_case		    = [MetricMock(__magic_name__    ) for metric_id in ['''accuracy''', '''mse''', '''precision''', '''codeparrot/apps_metric''']]




										def 	__snake_case							(							self	:				str      ):
																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 (       A_							:					str    ,							A_							:					Dict    ,							A_							:					int    ,							A_							:					int    ,							A_							:					str       ):
						if "tmp_path" in args:
												snake_case       :     List[str] =    tuple(arg if arg != '''tmp_path''' else tmp_path for arg in args       )
						with pytest.warns(A_    ,							match='''https://huggingface.co/docs/evaluate'''       ):
												func(*A_       )

