





from __future__ import annotations

import math





def 	a_    (							_lowercase	,						_lowercase	,						_lowercase	,						_lowercase	,						_lowercase       ):

						if depth < 0:
												raise ValueError('''Depth cannot be less than 0'''       )

						if not scores:
												raise ValueError('''Scores cannot be empty'''       )

						if depth == height:
												return scores[node_index]

						return (
						    max(
						        minimax(depth + 1	,						node_index * 2	,						_lowercase	,						_lowercase	,						_lowercase       )	,						minimax(depth + 1	,						node_index * 2 + 1	,						_lowercase	,						_lowercase	,						_lowercase       )	,						)
						    if is_max
						    else min(
						        minimax(depth + 1	,						node_index * 2	,						_lowercase	,						_lowercase	,						_lowercase       )	,						minimax(depth + 1	,						node_index * 2 + 1	,						_lowercase	,						_lowercase	,						_lowercase       )	,						)
						)





def 	a_    (							):
						_UpperCamelCase      : Any         =   [90, 23, 6, 33, 21, 65, 123, 3_4423]
						_UpperCamelCase      : Optional[Any]         =   math.log(len(_lowercase       )	,						2       )
						print(F"""Optimal value : {minimax(0	,						0	,						_lowercase	,						_lowercase	,						_lowercase       )}"""       )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()










"""simple docstring"""




import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    """The `inpainting.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionInpaintPipeline` instead."""
)



