


'''simple docstring'''
from __future__ import annotations

from typing import Any




def 	_A  (       A							)  ->				int:
	if not postfix_notation:
		return 0

	lowercase						:		Any   					=		{"""+""", """-""", """*""", """/"""}
	lowercase						:		list[Any]   					=		[]

	for token in postfix_notation:
		if token in operations:
			lowercase						:		List[str]   					=		stack.pop(), stack.pop()
			if token == "+":
				stack.append(a + b							)
			elif token == "-":
				stack.append(a - b							)
			elif token == "*":
				stack.append(a * b							)
			else:
				if a * b < 0 and a % b != 0:
					stack.append(a // b + 1							)
				else:
					stack.append(a // b							)
		else:
			stack.append(int(_A							)							)

	return stack.pop()


if __name__ == "__main__":
					import doctest

					doctest.testmod()










"""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
)
_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_05_22, 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)
