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

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



@dataclass(frozen=__lowercase )
class  UpperCamelCase				( __lowercase ):

     '''simple docstring'''

     A_										=  field(default='image-classification'   ,  metadata={'include_in_asdict_even_if_is_default': True} )
     A_										=  Features({'image': Image()} )
     A_										=  Features({'labels': ClassLabel} )
     A_										=  "image"
     A_										=  "labels"



     def 		UpperCamelCase_						(					self				,				A_						) ->				int:






           """simple docstring"""
           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]				,				A_						):
                 raise ValueError(F'Column {self.label_column} is not a ClassLabel.'						)
           _lowerCamelCase			    =				copy.deepcopy(self						)
           _lowerCamelCase			    =				self.label_schema.copy()
           _lowerCamelCase			    =				features[self.label_column]
           _lowerCamelCase			    =				label_schema
           return task_template





     @property
     def 		UpperCamelCase_						(					self						) ->				Dict[str, str]:






           """simple docstring"""
           return {
               self.image_column: "image",
               self.label_column: "labels",
           }
import argparse
import json

from tqdm import tqdm
def       __magic_name__(  )						->    List[str]:



      '''simple docstring'''

      _lowerCamelCase			    =				argparse.ArgumentParser()

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


if __name__ == "__main__":
     main()