import warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


lowerCAmelCase      :				Optional[int]     			=logging.get_logger(__name__)




class 						__snake_case						(			__lowerCAmelCase		):





      '''simple docstring'''






      def __init__(       self  :					Optional[Any]     ,	*_UpperCamelCase  :					Tuple     ,	**_UpperCamelCase  :					List[str])					->None:


          """simple docstring"""


          warnings.warn(
              """The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
              """ Please use DetrImageProcessor instead."""     ,	_UpperCamelCase     ,	)
          super().__init__(*_UpperCamelCase     ,	**_UpperCamelCase)





from __future__ import annotations

import sys







def     A__	(       __A						):







    '''simple docstring'''
    if n < 0:
        raise ValueError("""Negative arguments are not supported"""						)
    return _fib(__A						)[0]







def     A__	(       __A						):







    '''simple docstring'''
    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
    _lowerCamelCase    ,				_lowerCamelCase  :		List[Any]			    =    _fib(n // 2						)
    _lowerCamelCase  :		List[Any]			    =    a * (b * 2 - a)
    _lowerCamelCase  :		Optional[int]			    =    a * a + b * b
    return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
    lowerCAmelCase      :				Union[str, Any]     			=int(sys.argv[1])
    print(F"""fibonacci({n}) is {fibonacci(n)}""")




