
"""simple docstring"""

import argparse
import json

from tqdm import tqdm






def 							A						(    )				->     List[Any]:
 __UpperCamelCase      =	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'    , )
 __UpperCamelCase      =	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:
  __UpperCamelCase      =	json.load(snake_case		)
  for dpr_record in tqdm(snake_case		):
   __UpperCamelCase      =	dpr_record['question']
   __UpperCamelCase      =	[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()





"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase     :    Union[str, Any]       =			logging.get_logger(__name__)

UpperCamelCase     :    int       =			{
    "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/config.json",
    "distilbert-base-uncased-distilled-squad": (
        "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/config.json",
    "distilbert-base-cased-distilled-squad": (
        "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json"
    ),
    "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json",
    "distilbert-base-multilingual-cased": (
        "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json"
    ),
    "distilbert-base-uncased-finetuned-sst-2-english": (
        "https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json"
    ),
}

class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):
     lowercase						       =						"distilbert"
     lowercase						       =						{
         "hidden_size": "dim",
         "num_attention_heads": "n_heads",
         "num_hidden_layers": "n_layers",
     }





     def __init__(     self     ,					__UpperCAmelCase=3_0522     ,					__UpperCAmelCase=512     ,					__UpperCAmelCase=False     ,					__UpperCAmelCase=6     ,					__UpperCAmelCase=12     ,					__UpperCAmelCase=768     ,					__UpperCAmelCase=4 * 768     ,					__UpperCAmelCase=0.1     ,					__UpperCAmelCase=0.1     ,					__UpperCAmelCase="gelu"     ,					__UpperCAmelCase=0.0_2     ,					__UpperCAmelCase=0.1     ,					__UpperCAmelCase=0.2     ,					__UpperCAmelCase=0     ,					**__UpperCAmelCase     ,					):

      '''simple docstring'''




      __UpperCamelCase      =	vocab_size
      __UpperCamelCase      =	max_position_embeddings
      __UpperCamelCase      =	sinusoidal_pos_embds
      __UpperCamelCase      =	n_layers
      __UpperCamelCase      =	n_heads
      __UpperCamelCase      =	dim
      __UpperCamelCase      =	hidden_dim
      __UpperCamelCase      =	dropout
      __UpperCamelCase      =	attention_dropout
      __UpperCamelCase      =	activation
      __UpperCamelCase      =	initializer_range
      __UpperCamelCase      =	qa_dropout
      __UpperCamelCase      =	seq_classif_dropout
      super().__init__(**__UpperCAmelCase     ,					pad_token_id=__UpperCAmelCase				)


class __lowerCAmelCase		(				__SCREAMING_SNAKE_CASE      ):





     @property
     def 						UpperCAmelCase (     self				):

      '''simple docstring'''




      if self.task == "multiple-choice":
       __UpperCamelCase      =	{0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
       __UpperCamelCase      =	{0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
          ]				)



