





"""simple docstring"""






from __future__ import annotations

import math






def      lowercase__ (					lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			int							,			lowerCAmelCase__   :			bool							,			lowerCAmelCase__   :			list[int]							,			lowerCAmelCase__   :			float			)    ->			int:



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






def      lowercase__ (					)    ->			None:



			'''simple docstring'''
			a__  :	List[str]		 =			[9_0, 2_3, 6, 3_3, 2_1, 6_5, 1_2_3, 3_4_4_2_3]
			a__  :	str		 =			math.log(len(lowerCAmelCase__			)							,			2			)
			print(F"Optimal value : {minimax(0							,			0							,			lowerCAmelCase__							,			lowerCAmelCase__							,			lowerCAmelCase__			)}"			)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		main()






"""simple docstring"""






from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase						=			{
    '''configuration_informer''': [
        '''INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InformerConfig''',
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__UpperCAmelCase						=			[
		    '''INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''InformerForPrediction''',
		    '''InformerModel''',
		    '''InformerPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_informer import INFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, InformerConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_informer import (
				    INFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    InformerForPrediction,
				    InformerModel,
				    InformerPreTrainedModel,
				)

else:
		import sys

		__UpperCAmelCase						=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)