


"""simple docstring"""



from __future__ import annotations







def   __lowerCAmelCase						(						lowercase  :  float						,							lowercase  :  float						,							lowercase  :  float			)     ->						str:


       """simple docstring"""





       if (voltage, current, resistance).count(0			) != 1:
              raise ValueError("One and only one argument must be 0"			)
       if resistance < 0:
              raise ValueError("Resistance cannot be negative"			)
       if voltage == 0:
              return {"voltage": float(current * resistance			)}
       elif current == 0:
              return {"current": voltage / resistance}
       elif resistance == 0:
              return {"resistance": voltage / current}
       else:
              raise ValueError("Exactly one argument must be 0"			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()









"""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
)
__snake_case             =   logging.getLogger(__name__)

if __name__ == "__main__":
  __snake_case             =   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=30522, type=int)
  __snake_case             =   parser.parse_args()

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

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





