






"""simple docstring"""





import random




def 	UpperCAmelCase     (		A	:						list     ,				A	:						List[Any]       ):

		'''simple docstring'''


		_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase							 =		[], [], []
		for element in data:
				if element < pivot:
						less.append(A       )
				elif element > pivot:
						greater.append(A       )
				else:
						equal.append(A       )
		return less, equal, greater






def 	UpperCAmelCase     (		A	:						list     ,				A	:						int       ):

		'''simple docstring'''


		if index >= len(A       ) or index < 0:
				return None

		_UpperCAmelCase							 =		items[random.randint(0     ,				len(A       ) - 1       )]
		_UpperCAmelCase							 =		0
		_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase							 =		_partition(A     ,				A       )
		_UpperCAmelCase							 =		len(A       )
		_UpperCAmelCase							 =		len(A       )

		# index is the pivot
		if m <= index < m + count:
				return pivot
		# must be in smaller
		elif m > index:
				return quick_select(A     ,				A       )
		# must be in larger
		else:
				return quick_select(A     ,				index - (m + count)       )







"""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)


