



"""simple docstring"""





class 			lowercase__			:
							'''simple docstring'''







							def __init__(  self	,       snake_case						)			->							int:
									_UpperCAmelCase							 =		n
									_UpperCAmelCase							 =		[None] * self.n
									_UpperCAmelCase							 =		0  # index of the first element
									_UpperCAmelCase							 =		0
									_UpperCAmelCase							 =		0






							def __len__(  self						)			->							int:
									return self.size






							def        lowerCamelCase_   (  self						)			->							bool:
									return self.size == 0






							def        lowerCamelCase_   (  self						)			->							int:
									return False if self.is_empty() else self.array[self.front]






							def        lowerCamelCase_   (  self	,       snake_case						)			->							Union[str, Any]:
									if self.size >= self.n:
											raise Exception('QUEUE IS FULL'						)

									_UpperCAmelCase							 =		data
									_UpperCAmelCase							 =		(self.rear + 1) % self.n
									self.size += 1
									return self






							def        lowerCamelCase_   (  self						)			->							List[str]:
									if self.size == 0:
											raise Exception('UNDERFLOW'						)

									_UpperCAmelCase							 =		self.array[self.front]
									_UpperCAmelCase							 =		None
									_UpperCAmelCase							 =		(self.front + 1) % self.n
									self.size -= 1
									return temp







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

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

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

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


