



'''simple docstring'''





from __future__ import annotations

import math
def    _SCREAMING_SNAKE_CASE  (       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    _SCREAMING_SNAKE_CASE  (       ):



    """simple docstring"""





    lowerCAmelCase__ :  Tuple							      =					[90, 23, 6, 33, 21, 65, 123, 34423]
    lowerCAmelCase__ :  Optional[int]							      =					math.log(len(UpperCamelCase			)							,    2			)
    print(f"""Optimal value : {minimax(0							,    0							,    UpperCamelCase							,    UpperCamelCase							,    UpperCamelCase			)}"""			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()










from typing import TYPE_CHECKING

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


UpperCAmelCase__				   =		{
    "configuration_groupvit": [
        "GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "GroupViTConfig",
        "GroupViTOnnxConfig",
        "GroupViTTextConfig",
        "GroupViTVisionConfig",
    ],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__				   =		[
         "GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "GroupViTModel",
         "GroupViTPreTrainedModel",
         "GroupViTTextModel",
         "GroupViTVisionModel",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__				   =		[
         "TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "TFGroupViTModel",
         "TFGroupViTPreTrainedModel",
         "TFGroupViTTextModel",
         "TFGroupViTVisionModel",
     ]

if TYPE_CHECKING:
     from .configuration_groupvit import (
         GROUPVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
         GroupViTConfig,
         GroupViTOnnxConfig,
         GroupViTTextConfig,
         GroupViTVisionConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_groupvit import (
              GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              GroupViTModel,
              GroupViTPreTrainedModel,
              GroupViTTextModel,
              GroupViTVisionModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_groupvit import (
              TF_GROUPVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFGroupViTModel,
              TFGroupViTPreTrainedModel,
              TFGroupViTTextModel,
              TFGroupViTVisionModel,
          )

else:
     import sys

     UpperCAmelCase__				   =		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


