





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)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


__A							:			Optional[Any]         =			{}


try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 __A							:			Optional[int]         =			["MLukeTokenizer"]

if TYPE_CHECKING:
 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_mluke import MLukeTokenizer


else:
 import sys

 __A							:			List[str]         =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





