from __future__ import annotations

import math



def A__  (			lowercase:     int,		lowercase:     int,		lowercase:     bool,		lowercase:     list[int],		lowercase:     float					)				->		int:

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

       if len(lowercase					) == 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,		lowercase,		lowercase,		lowercase					),		minimax(depth + 1,		node_index * 2 + 1,		lowercase,		lowercase,		lowercase					),		)

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



def A__  (			)				->		None:
       A						:     List[str]         =[90, 23, 6, 33, 21, 65, 123, 34_423]
       A						:     List[str]         =math.log(len(lowercase					),		2					)
       print('Optimal value : ',		end=''					)
       print(minimax(0,		0,		lowercase,		lowercase,		lowercase					)					)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()







def A__  (			lowercase:     int					)				->		int:
       if not isinstance(lowercase,		lowercase					) or number < 0:
              raise ValueError('Input must be a non-negative integer'					)

       A						:     Any         =0
       while number:
              # This way we arrive at next set bit (next 1) instead of looping
              # through each bit and checking for 1s hence the
              # loop won't run 32 times it will only run the number of `1` times
              number &= number - 1
              count += 1
       return count


if __name__ == "__main__":
    import doctest

    doctest.testmod()






