'''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)










SCREAMING_SNAKE_CASE_   :      dict[str, float]			=   {
    "joule": 1.0,
    "kilojoule": 1000,
    "megajoule": 100_0000,
    "gigajoule": 10_0000_0000,
    "wattsecond": 1.0,
    "watthour": 3600,
    "kilowatthour": 360_0000,
    "newtonmeter": 1.0,
    "calorie_nutr": 4186.8,
    "kilocalorie_nutr": 418_6800.00,
    "electronvolt": 1.6_0_2_1_7_6_6_3_4e-1_9,
    "britishthermalunit_it": 1055.0_5585,
    "footpound": 1.35_5818,
}



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    float:
		if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
				__lowercase											=     (
				    F"Incorrect 'from_type' or 'to_type' value: {from_type!r}, {to_type!r}\n"
				    F"Valid values are: {', '.join(snake_case							)}"
				)
				raise ValueError(snake_case							)
		return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
		import doctest

		doctest.testmod()




