


"""simple docstring"""


import warnings

from ...utils import logging
from .image_processing_segformer import SegformerImageProcessor


_snake_case          =							logging.get_logger(__name__)



class   _a      (      lowerCAmelCase__ ):
    def __init__( self							:					Dict							,					*SCREAMING_SNAKE_CASE__							:					Any							,					**SCREAMING_SNAKE_CASE__							:					List[str]				):
          warnings.warn(
              'The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
              ' Please use SegformerImageProcessor instead.'							,					_SCREAMING_SNAKE_CASE							,					)
          super().__init__(*_SCREAMING_SNAKE_CASE							,					**_SCREAMING_SNAKE_CASE				)







"""simple docstring"""


import argparse
import json

from tqdm import tqdm



def   snake_case						(				)->		List[Any]:
      '''simple docstring'''


      lowerCamelCase__           =		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'		,   )
      lowerCamelCase__           =		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__           =		json.load(_a							)
            for dpr_record in tqdm(_a							):
                  lowerCamelCase__           =		dpr_record['question']
                  lowerCamelCase__           =		[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()



