

from __future__ import annotations

import math

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    int	,     SCREAMING_SNAKE_CASE_		:    int	,     SCREAMING_SNAKE_CASE_		:    bool	,     SCREAMING_SNAKE_CASE_		:    list[int]	,     SCREAMING_SNAKE_CASE_		:    float			):



     '''simple docstring'''





     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	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)	,     minimax(depth + 1	,     node_index * 2 + 1	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)	,     )
         if is_max
         else min(
             minimax(depth + 1	,     node_index * 2	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)	,     minimax(depth + 1	,     node_index * 2 + 1	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)	,     )
     )

def 	snake_case__			(    ):



     '''simple docstring'''





     lowercase__    :   str      =       [90, 23, 6, 33, 21, 65, 123, 34_423]
     lowercase__    :   Any      =       math.log(len(SCREAMING_SNAKE_CASE_			)	,     2			)
     print(f"""Optimal value : {minimax(0	,     0	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_	,     SCREAMING_SNAKE_CASE_			)}"""			)


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       main()




import warnings

from ...utils import logging
from .image_processing_flava import FlavaImageProcessor


snake_case_			  = logging.get_logger(__name__)


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    def __init__(      self						,   *a						,   **a):
         warnings.warn(
             'The class FlavaFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
             ' use FlavaImageProcessor instead.'						,   a						,   )
         super().__init__(*a						,   **a)

