



import warnings

from ...utils import logging
from .image_processing_vilt import ViltImageProcessor


__SCREAMING_SNAKE_CASE     =	logging.get_logger(__name__)

class 						lowerCamelCase_     (			_A    ):






						'''simple docstring'''







						def __init__(						self   :      Any						,						*__lowerCamelCase   :      Dict						,						**__lowerCamelCase   :      List[Any]			)   ->					None:
									warnings.warn(
									    "The class ViltFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
									    " use ViltImageProcessor instead."						,						__lowerCamelCase						,						)
									super().__init__(*__lowerCamelCase						,						**__lowerCamelCase			)




from collections.abc import Callable

__SCREAMING_SNAKE_CASE     =	Callable[[float], float]  # type alias for a real -> real function




def 						UpperCAmelCase (    _lowerCamelCase			,     _lowerCamelCase			,     _lowerCamelCase			,     ):
			A				:       int														=    float(_lowerCamelCase     )
			while True:
						try:
									A				:       Optional[int]														=    prev_guess - function(_lowerCamelCase     ) / derivative(_lowerCamelCase     )
						except ZeroDivisionError:
									raise ZeroDivisionError("Could not find root"     ) from None
						if abs(prev_guess - next_guess     ) < 10**-5:
									return next_guess
						A				:       Any														=    next_guess




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




def 						UpperCAmelCase (    _lowerCamelCase     ):
			return 3 * (x**2) - 2


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