
import argparse
import json

from tqdm import tqdm



def 		lowercase_    (     )							->							Union[str, Any]:
    """simple docstring"""

    snake_case				  =      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				  =      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				  =      json.load(A__	)
        for dpr_record in tqdm(A__	):
            snake_case				  =      dpr_record["question"]
            snake_case				  =      [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()



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A						      =				logging.get_logger(__name__)

_A						      =				{
    "google/canine-s": "https://huggingface.co/google/canine-s/resolve/main/config.json",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							Dict     =	"canine"





     def __init__(self   :					List[Any]       ,					_A   :					Union[str, Any]=7_6_8       ,					_A   :					Any=1_2       ,					_A   :					List[Any]=1_2       ,					_A   :					List[Any]=3_0_7_2       ,					_A   :					Dict="gelu"       ,					_A   :					Optional[Any]=0.1       ,					_A   :					Tuple=0.1       ,					_A   :					str=1_6_3_8_4       ,					_A   :					Union[str, Any]=1_6       ,					_A   :					Any=0.02       ,					_A   :					List[str]=1E-12       ,					_A   :					Union[str, Any]=0       ,					_A   :					Dict=0Xe0_00       ,					_A   :					List[Any]=0Xe0_01       ,					_A   :					int=4       ,					_A   :					str=4       ,					_A   :					Optional[int]=8       ,					_A   :					Optional[Any]=1_6_3_8_4       ,					_A   :					Optional[Any]=1_2_8       ,					**_A   :					Union[str, Any]       ,					)		->		Union[str, Any]:
         super().__init__(pad_token_id=_A       ,					bos_token_id=_A       ,					eos_token_id=_A       ,					**_A     )

         snake_case				  =      max_position_embeddings
         snake_case				  =      hidden_size
         snake_case				  =      num_hidden_layers
         snake_case				  =      num_attention_heads
         snake_case				  =      intermediate_size
         snake_case				  =      hidden_act
         snake_case				  =      hidden_dropout_prob
         snake_case				  =      attention_probs_dropout_prob
         snake_case				  =      initializer_range
         snake_case				  =      type_vocab_size
         snake_case				  =      layer_norm_eps

         # Character config:
         snake_case				  =      downsampling_rate
         snake_case				  =      upsampling_kernel_size
         snake_case				  =      num_hash_functions
         snake_case				  =      num_hash_buckets
         snake_case				  =      local_transformer_stride

