
"""simple docstring"""

from collections.abc import Callable

_A				=					Callable[[float], float]  # type alias for a real -> real function
def 						UpperCAmelCase   (						a_,		a_,		a_,		):





		'''simple docstring'''


		lowerCamelCase	:     Dict            =       float(a_     )
		while True:
				try:
						lowerCamelCase	:     Union[str, Any]            =       prev_guess - function(a_     ) / derivative(a_     )
				except ZeroDivisionError:
						raise ZeroDivisionError('Could not find root'     ) from None
				if abs(prev_guess - next_guess     ) < 10**-5:
						return next_guess
				lowerCamelCase	:     Dict            =       next_guess
def 						UpperCAmelCase   (						a_     ):





		'''simple docstring'''


		return (x**3) - (2 * x) - 5
def 						UpperCAmelCase   (						a_     ):





		'''simple docstring'''


		return 3 * (x**2) - 2


if __name__ == "__main__":
					print(newton(f, fa, 3))








"""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)






