
from __future__ import annotations

import sys





def 		SCREAMING_SNAKE_CASE__			(					__lowerCAmelCase							):
    if n < 0:
        raise ValueError("Negative arguments are not supported"							)
    return _fib(__lowerCAmelCase							)[0]





def 		SCREAMING_SNAKE_CASE__			(					__lowerCAmelCase							):
    if n == 0:  # (F(0), F(1))
        return (0, 1)

    # F(2n) = F(n)[2F(n+1) − F(n)]
    # F(2n+1) = F(n+1)^2+F(n)^2
    snake_case__  ,    snake_case__  = _fib(n // 2							)
    snake_case__  = a * (b * 2 - a)
    snake_case__  = a * a + b * b
    return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
     __magic_name__   				=     int(sys.argv[1])
     print(F'''fibonacci({n}) is {fibonacci(n)}''')







'''simple docstring'''






import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


__UpperCAmelCase    				=							logging.get_logger(__name__)




class 		a__				(							a__  ):





							'''simple docstring'''






							def __init__(		self					,    *lowerCamelCase_					,    **lowerCamelCase_   )       ->							None:
														warnings.warn(
														    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
														    ''' Please use MobileNetV2ImageProcessor instead.'''					,    lowerCamelCase_					,    )
														super().__init__(*lowerCamelCase_					,    **lowerCamelCase_   )