


'''simple docstring'''


from __future__ import annotations

import math






def  __lowerCAmelCase (__lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase   ):

		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  __lowerCAmelCase ():
		_UpperCAmelCase		:       str								=      [90, 23, 6, 33, 21, 65, 123, 34_423]
		_UpperCAmelCase		:       List[str]								=      math.log(len(__lowerCAmelCase   )      , 2   )
		print("Optimal value : "      , end=""   )
		print(minimax(0      , 0      , __lowerCAmelCase      , __lowerCAmelCase      , __lowerCAmelCase   )   )


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						main()







'''simple docstring'''


from __future__ import annotations

import numpy as np






def  __lowerCAmelCase (__lowerCAmelCase   ):
		return np.maximum(0      , __lowerCAmelCase   )


if __name__ == "__main__":
						print(np.array(relu([-1, 0, 5])))  # --> [0, 0, 5]



