"""simple docstring"""







import sys

from transformers import AutoTokenizer


_a	:	Any=					sys.argv[1]
_a	:	List[str]=					sys.argv[2]
_a	:	Tuple=					int(sys.argv[3])

_a	:	Optional[Any]=					0

_a	:	int=					AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, "rt") as f_p:
	for line in f_p:
		_a	:	List[str]=					line.rstrip()

		if not line:
			print(line)
			_a	:	int=					0
			continue

		_a	:	List[str]=					line.split()[0]

		_a	:	Union[str, Any]=					len(tokenizer.tokenize(token))

		# Token contains strange control characters like \x96 or \x95
		# Just filter out the complete line
		if current_subwords_len == 0:
			continue

		if (subword_len_counter + current_subwords_len) > max_len:
			print("")
			print(line)
			_a	:	str=					current_subwords_len
			continue

		subword_len_counter += current_subwords_len

		print(line)






"""simple docstring"""







def     __UpperCAmelCase							(       UpperCAmelCase_       :							str    )				->     str:

	'''simple docstring'''





	return " ".join(sorted(set(sentence.split()    )    )    )


if __name__ == "__main__":
	import doctest

	doctest.testmod()





