

"""simple docstring"""




from __future__ import annotations

import math
def 	lowerCAmelCase    (       __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase   ):
 '''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				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase   )				,     minimax(depth + 1				,     node_index * 2 + 1				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase   )				,     )
     if is_max
     else min(
         minimax(depth + 1				,     node_index * 2				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase   )				,     minimax(depth + 1				,     node_index * 2 + 1				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase   )				,     )
 )
def 	lowerCAmelCase    (       ):
 '''simple docstring'''





 UpperCAmelCase__       :	str        =       [90, 23, 6, 33, 21, 65, 123, 34423]
 UpperCAmelCase__       :	Optional[Any]        =       math.log(len(__UpperCamelCase   )				,     2   )
 print(F"Optimal value : {minimax(0				,     0				,     __UpperCamelCase				,     __UpperCamelCase				,     __UpperCamelCase   )}"   )


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()







"""simple docstring"""


from typing import TYPE_CHECKING

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


_lowercase				 =					{
    '''configuration_mctct''': ['''MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MCTCTConfig'''],
    '''feature_extraction_mctct''': ['''MCTCTFeatureExtractor'''],
    '''processing_mctct''': ['''MCTCTProcessor'''],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowercase				 =					[
		    '''MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''MCTCTForCTC''',
		    '''MCTCTModel''',
		    '''MCTCTPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_mctct import MCTCT_PRETRAINED_CONFIG_ARCHIVE_MAP, MCTCTConfig
		from .feature_extraction_mctct import MCTCTFeatureExtractor
		from .processing_mctct import MCTCTProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mctct import MCTCT_PRETRAINED_MODEL_ARCHIVE_LIST, MCTCTForCTC, MCTCTModel, MCTCTPreTrainedModel

else:
		import sys

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