
"""simple docstring"""

from __future__ import annotations

from collections.abc import Generator
def 						UpperCAmelCase   (						a_     ):





		'''simple docstring'''


		if not isinstance(a_,		a_     ) or n < 1:
				raise Exception('Sequence only defined for positive integers'     )

		yield n
		while n != 1:
				if n % 2 == 0:
						n //= 2
				else:
						lowerCamelCase	:     Dict            =       3 * n + 1
				yield n
def 						UpperCAmelCase   (						):





		'''simple docstring'''


		lowerCamelCase	:     int            =       43
		lowerCamelCase	:     Optional[int]            =       tuple(collatz_sequence(a_     )     )
		print(a_     )
		print(F"""Collatz sequence from {n} took {len(a_     )} steps."""     )


if __name__ == "__main__":
					main()








"""simple docstring"""

import sys

from transformers import AutoTokenizer


_A				=					sys.argv[1]
_A				=					sys.argv[2]
_A				=					int(sys.argv[3])

_A				=					0

_A				=					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				=					line.rstrip()

										if not line:
															print(line)
															_A				=					0
															continue

										_A				=					line.split()[0]

										_A				=					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				=					current_subwords_len
															continue

										subword_len_counter += current_subwords_len

										print(line)






