

"""simple docstring"""





import warnings

from ...utils import logging
from .image_processing_maskformer import MaskFormerImageProcessor


_a					 =				logging.get_logger(__name__)




class    _lowerCAmelCase    (      lowercase__  ):







 """simple docstring"""







 def __init__(     self				:     Tuple,   *UpperCAmelCase__				:     List[Any],   **UpperCAmelCase__				:     Any      ):
    warnings.warn(
        "The class MaskFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
        " Please use MaskFormerImageProcessor instead.",   UpperCAmelCase__,   )
    super().__init__(*UpperCAmelCase__,   **UpperCAmelCase__      )










from __future__ import annotations

import sys
def 							__lowerCAmelCase			(UpperCAmelCase_		):
    if n < 0:
        raise ValueError("""Negative arguments are not supported"""		)
    return _fib(UpperCAmelCase_		)[0]
def 							__lowerCAmelCase			(UpperCAmelCase_		):
    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
    a__			,		a__  			=							_fib(n // 2		)
    a__  			=							a * (b * 2 - a)
    a__  			=							a * a + b * b
    return (d, c + d) if n % 2 else (c, d)


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






