



'''simple docstring'''





import argparse
import json

from tqdm import tqdm




def 							lowerCamelCase	(					):





    '''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()









'''simple docstring'''





def 							lowerCamelCase	(					_snake_case	:    str							):





    '''simple docstring'''


    return " ".join(
        "".join(word[::-1]							) if len(_snake_case							) > 4 else word for word in sentence.split()							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 print(reverse_long_words("Hey wollef sroirraw"))




