


from __future__ import annotations

import math







def 						lowerCamelCase(   a__	,a__	,a__	,a__	,a__):


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

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

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







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


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


snake_case_						:			List[Any]													=							{
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							snake_case_						:			str													=							[
							    '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''GraphormerForGraphClassification''',
							    '''GraphormerModel''',
							    '''GraphormerPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_graphormer import (
														    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    GraphormerForGraphClassification,
														    GraphormerModel,
														    GraphormerPreTrainedModel,
														)


else:
							import sys

							snake_case_						:			Union[str, Any]													=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)