





'''simple docstring'''




def 	__lowerCamelCase (  UpperCAmelCase_       )      ->list:
	snake_case__  					=      len(UpperCAmelCase_       )
	for cycle_start in range(0				,							array_len - 1       ):
		snake_case__  					=      array[cycle_start]

		snake_case__  					=      cycle_start
		for i in range(cycle_start + 1				,							UpperCAmelCase_       ):
			if array[i] < item:
				pos += 1

		if pos == cycle_start:
			continue

		while item == array[pos]:
			pos += 1

		snake_case__					,     snake_case__  					=      item, array[pos]
		while pos != cycle_start:
			snake_case__  					=      cycle_start
			for i in range(cycle_start + 1				,							UpperCAmelCase_       ):
				if array[i] < item:
					pos += 1

			while item == array[pos]:
				pos += 1

			snake_case__					,     snake_case__  					=      item, array[pos]

	return array


if __name__ == "__main__":
			assert cycle_sort([4, 5, 3, 2, 1]) == [1, 2, 3, 4, 5]
			assert cycle_sort([0, 1, -10, 15, 2, -2]) == [-10, -2, 0, 1, 2, 15]










'''simple docstring'''




import sys

from transformers import AutoTokenizer


a__				: Optional[int]									=    sys.argv[1]
a__				: Any									=    sys.argv[2]
a__				: str									=    int(sys.argv[3])

a__				: str									=    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__				: Tuple									=    line.rstrip()

						if not line:
									print(line)
									a__				: List[str]									=    0
									continue

						a__				: Optional[int]									=    line.split()[0]

						a__				: Tuple									=    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__				: List[str]									=    current_subwords_len
									continue

						subword_len_counter += current_subwords_len

						print(line)



