
import argparse
import logging
import pickle
from collections import Counter


logging.basicConfig(
    format="%(asctime)s - %(levelname)s - %(name)s - %(message)s", datefmt="%m/%d/%Y %H:%M:%S", level=logging.INFO
)
lowerCamelCase  =logging.getLogger(__name__)

if __name__ == "__main__":
    lowerCamelCase  =argparse.ArgumentParser(
        description="Token Counts for smoothing the masking probabilities in MLM (cf XLM/word2vec)"
    )
    parser.add_argument(
        "--data_file", type=str, default="data/dump.bert-base-uncased.pickle", help="The binarized dataset."
    )
    parser.add_argument(
        "--token_counts_dump", type=str, default="data/token_counts.bert-base-uncased.pickle", help="The dump file."
    )
    parser.add_argument("--vocab_size", default=3_0_5_2_2, type=int)
    lowerCamelCase  =parser.parse_args()

    logger.info(F'''Loading data from {args.data_file}''')
    with open(args.data_file, "rb") as fp:
        lowerCamelCase  =pickle.load(fp)

    logger.info("Counting occurrences for MLM.")
    lowerCamelCase  =Counter()
    for tk_ids in data:
        counter.update(tk_ids)
    lowerCamelCase  =[0] * args.vocab_size
    for k, v in counter.items():
        lowerCamelCase  =v

    logger.info(F'''Dump to {args.token_counts_dump}''')
    with open(args.token_counts_dump, "wb") as handle:
        pickle.dump(counts, handle, protocol=pickle.HIGHEST_PROTOCOL)




def 				SCREAMING_SNAKE_CASE_   (      UpperCamelCase__			,		UpperCamelCase__		):

      def get_matched_characters(UpperCamelCase__			,		UpperCamelCase__		) -> str:
            UpperCamelCase__     : Union[str, Any]											=					[]
            UpperCamelCase__     : Union[str, Any]											=					min(len(_stra		)			,		len(_stra		)		) // 2
            for i, l in enumerate(_stra		):
                  UpperCamelCase__     : Optional[int]											=					int(max(0			,		i - limit		)		)
                  UpperCamelCase__     : List[str]											=					int(min(i + limit + 1			,		len(_stra		)		)		)
                  if l in _stra[left:right]:
                        matched.append(UpperCamelCase__		)
                        UpperCamelCase__     : List[str]											=					f'''{_stra[0:_stra.index(UpperCamelCase__		)]} {_stra[_stra.index(UpperCamelCase__		) + 1:]}'''

            return "".join(UpperCamelCase__		)

      # matching characters
      UpperCamelCase__     : Any											=					get_matched_characters(UpperCamelCase__			,		UpperCamelCase__		)
      UpperCamelCase__     : Union[str, Any]											=					get_matched_characters(UpperCamelCase__			,		UpperCamelCase__		)
      UpperCamelCase__     : List[Any]											=					len(UpperCamelCase__		)

      # transposition
      UpperCamelCase__     : str											=					(
          len([(ca, ca) for ca, ca in zip(UpperCamelCase__			,		UpperCamelCase__		) if ca != ca]		) // 2
      )

      if not match_count:
            UpperCamelCase__     : Union[str, Any]											=					0.0
      else:
            UpperCamelCase__     : Optional[int]											=					(
                1
                / 3
                * (
                    match_count / len(UpperCamelCase__		)
                    + match_count / len(UpperCamelCase__		)
                    + (match_count - transpositions) / match_count
                )
            )

      # common prefix up to 4 characters
      UpperCamelCase__     : Dict											=					0
      for ca, ca in zip(stra[:4]			,		stra[:4]		):
            if ca == ca:
                  prefix_len += 1
            else:
                  break

      return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(jaro_winkler("hello", "world"))


