


"""simple docstring"""



from __future__ import annotations







def   __lowerCAmelCase						(						lowercase  :  list[int]						,							lowercase  :  int						,							lowercase  :  int						,							lowercase  :  int			)     ->						None:


    """simple docstring"""





    if (direction == 1 and array[indexa] > array[indexa]) or (
        direction == 0 and array[indexa] < array[indexa]
    ):
        snake_case ,snake_case   :				List[str]				 =   array[indexa], array[indexa]







def   __lowerCAmelCase						(						lowercase  :  list[int]						,							lowercase  :  int						,							lowercase  :  int						,							lowercase  :  int			)     ->						None:


    """simple docstring"""





    if length > 1:
        snake_case   :				Optional[int]				 =   int(length / 2			)
        for i in range(lowercase						,							low + middle			):
            comp_and_swap(lowercase						,							lowercase						,							i + middle						,							lowercase			)
        bitonic_merge(lowercase						,							lowercase						,							lowercase						,							lowercase			)
        bitonic_merge(lowercase						,							low + middle						,							lowercase						,							lowercase			)







def   __lowerCAmelCase						(						lowercase  :  list[int]						,							lowercase  :  int						,							lowercase  :  int						,							lowercase  :  int			)     ->						None:


    """simple docstring"""





    if length > 1:
        snake_case   :				Optional[Any]				 =   int(length / 2			)
        bitonic_sort(lowercase						,							lowercase						,							lowercase						,							1			)
        bitonic_sort(lowercase						,							low + middle						,							lowercase						,							0			)
        bitonic_merge(lowercase						,							lowercase						,							lowercase						,							lowercase			)


if __name__ == "__main__":
  __snake_case             =   input("""Enter numbers separated by a comma:\n""").strip()
  __snake_case             =   [int(item.strip()) for item in user_input.split(""",""")]

  bitonic_sort(unsorted, 0, len(unsorted), 1)
  print("""\nSorted array in ascending order is: """, end="""""")
  print(*unsorted, sep=""", """)

  bitonic_merge(unsorted, 0, len(unsorted), 0)
  print("""Sorted array in descending order is: """, end="""""")
  print(*unsorted, sep=""", """)









"""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)





