





from ..utils import DummyObject, requires_backends



class 				_UpperCAmelCase    (    metaclass=_UpperCamelCase    ):

  """simple docstring"""


  a_        = ["""onnx"""]






  def __init__(				self :		Optional[int]					,  *lowerCAmelCase_ :		Any					,  **lowerCAmelCase_ :		Optional[int]     )							->						Union[str, Any]:
     requires_backends(self					,  ['onnx']     )






  @classmethod
  def 				lowercase		(				cls :		Union[str, Any]					,  *lowerCAmelCase_ :		int					,  **lowerCAmelCase_ :		Any     )							->						List[str]:
     requires_backends(cls					,  ['onnx']     )






  @classmethod
  def 				lowercase		(				cls :		str					,  *lowerCAmelCase_ :		str					,  **lowerCAmelCase_ :		Optional[Any]     )							->						Optional[Any]:
     requires_backends(cls					,  ['onnx']     )








from __future__ import annotations

import math

def   a_    ( lowerCAmelCase_      :			int,	lowerCAmelCase_      :			int,	lowerCAmelCase_      :			bool,	lowerCAmelCase_      :			list[int],	lowerCAmelCase_      :			float	):

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

   if len(lowerCAmelCase_	) == 0:
      raise ValueError('Scores cannot be empty'	)

   if depth == height:
      return scores[node_index]

   if is_max:
      return max(
          minimax(depth + 1,	node_index * 2,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	minimax(depth + 1,	node_index * 2 + 1,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	)

   return min(
       minimax(depth + 1,	node_index * 2,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	minimax(depth + 1,	node_index * 2 + 1,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	),	)

def   a_    ( ):
   __lowerCAmelCase								=	[90, 23, 6, 33, 21, 65, 123, 3_4423]
   __lowerCAmelCase								=	math.log(len(lowerCAmelCase_	),	2	)
   print('Optimal value : ',	end=''	)
   print(minimax(0,	0,	lowerCAmelCase_,	lowerCAmelCase_,	lowerCAmelCase_	)	)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     main()

