






"""simple docstring"""



import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate

@dataclass(frozen=a_	)
class        a     (   a_	):
    UpperCAmelCase_ :     str	     =field(default="audio-classification",				metadata={"include_in_asdict_even_if_is_default": True}	)
    UpperCAmelCase_ :     ClassVar[Features]	     =Features({"audio": Audio()}	)
    UpperCAmelCase_ :     ClassVar[Features]	     =Features({"labels": ClassLabel}	)
    UpperCAmelCase_ :     str	     ="audio"
    UpperCAmelCase_ :     str	     ="labels"







    def 			UpperCamelCase_      (			self							,		_lowerCamelCase       ):
      if self.label_column not in features:
        raise ValueError(F'Column {self.label_column} is not present in features.'       )
      if not isinstance(features[self.label_column]							,		_lowerCamelCase       ):
        raise ValueError(F'Column {self.label_column} is not a ClassLabel.'       )
      lowercase							    =       copy.deepcopy(self       )
      lowercase							    =       self.label_schema.copy()
      lowercase							    =       features[self.label_column]
      lowercase							    =       label_schema
      return task_template







    @property
    def 			UpperCamelCase_      (			self       ):
      return {
          self.audio_column: "audio",
          self.label_column: "labels",
      }










"""simple docstring"""



import argparse
import json

from tqdm import tqdm
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       argparse.ArgumentParser()

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


if __name__ == "__main__":
    main()


