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__											=					logging.getLogger(__name__)

if __name__ == "__main__":
      UpperCamelCase__											=					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)
      UpperCamelCase__											=					parser.parse_args()

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

      logger.info('Counting occurrences for MLM.')
      UpperCamelCase__											=					Counter()
      for tk_ids in data:
            counter.update(tk_ids)
      UpperCamelCase__											=					[0] * args.vocab_size
      for k, v in counter.items():
            UpperCamelCase__											=					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 abc import ABC, abstractmethod
from argparse import ArgumentParser







class  lowercase				(       lowercase_			):




				@staticmethod
				@abstractmethod
				def     a							(					snake_case       ):
											raise NotImplementedError()




				@abstractmethod
				def     a							(					self       ):
											raise NotImplementedError()




