





import functools
from typing import Any






def 					SCREAMING_SNAKE_CASE__				(							UpperCamelCase__:				str       , UpperCamelCase__:				list[str]     ):

		# Validation
		if not isinstance(UpperCamelCase__       , UpperCamelCase__     ) or len(UpperCamelCase__     ) == 0:
				raise ValueError("""the string should be not empty string"""     )

		if not isinstance(UpperCamelCase__       , UpperCamelCase__     ) or not all(
		    isinstance(UpperCamelCase__       , UpperCamelCase__     ) and len(UpperCamelCase__     ) > 0 for item in words     ):
				raise ValueError("""the words should be a list of non-empty strings"""     )

		# Build trie
		SCREAMING_SNAKE_CASE__								=   {}
		SCREAMING_SNAKE_CASE__								=   """WORD_KEEPER"""

		for word in words:
				SCREAMING_SNAKE_CASE__								=   trie
				for c in word:
						if c not in trie_node:
								SCREAMING_SNAKE_CASE__								=   {}

						SCREAMING_SNAKE_CASE__								=   trie_node[c]

				SCREAMING_SNAKE_CASE__								=   True

		SCREAMING_SNAKE_CASE__								=   len(UpperCamelCase__     )

		# Dynamic programming method
		@functools.cache
		def is_breakable(UpperCamelCase__:				int     ) -> bool:
				if index == len_string:
						return True

				SCREAMING_SNAKE_CASE__								=   trie
				for i in range(UpperCamelCase__       , UpperCamelCase__     ):
						SCREAMING_SNAKE_CASE__								=   trie_node.get(string[i]       , UpperCamelCase__     )

						if trie_node is None:
								return False

						if trie_node.get(UpperCamelCase__       , UpperCamelCase__     ) and is_breakable(i + 1     ):
								return True

				return False

		return is_breakable(0     )


if __name__ == "__main__":
	import doctest

	doctest.testmod()






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=30522, 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)