'''simple docstring'''






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
)
_UpperCAmelCase    :     Optional[int]         =       logging.getLogger(__name__)

if __name__ == "__main__":
   _UpperCAmelCase    :     Tuple         =       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_05_22, type=int)
   _UpperCAmelCase    :     int         =       parser.parse_args()

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

   logger.info('''Counting occurrences for MLM.''')
   _UpperCAmelCase    :     Optional[int]         =       Counter()
   for tk_ids in data:
      counter.update(tk_ids)
   _UpperCAmelCase    :     Union[str, Any]         =       [0] * args.vocab_size
   for k, v in counter.items():
      _UpperCAmelCase    :     Union[str, Any]         =       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)




'''simple docstring'''






def  _SCREAMING_SNAKE_CASE		(      __snake_case							:			str   ,		__snake_case							:			str   ,		__snake_case							:			List[Any]=False				):

     if isinstance(__snake_case   ,		__snake_case				) and isinstance(__snake_case   ,		__snake_case				):
          _A    		=  len(set_a.intersection(__snake_case				)				)

          if alternative_union:
               _A    		=  len(__snake_case				) + len(__snake_case				)
          else:
               _A    		=  len(set_a.union(__snake_case				)				)

          return intersection / union

     if isinstance(__snake_case   ,		(list, tuple)				) and isinstance(__snake_case   ,		(list, tuple)				):
          _A    		=  [element for element in set_a if element in set_b]

          if alternative_union:
               _A    		=  len(__snake_case				) + len(__snake_case				)
               return len(__snake_case				) / union
          else:
               _A    		=  set_a + [element for element in set_b if element not in set_a]
               return len(__snake_case				) / len(__snake_case				)

          return len(__snake_case				) / len(__snake_case				)
     return None


if __name__ == "__main__":
   _UpperCAmelCase    :     Optional[Any]         =       {'''a''', '''b''', '''c''', '''d''', '''e'''}
   _UpperCAmelCase    :     str         =       {'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
   print(jaccard_similarity(set_a, set_b))



