

'''simple docstring'''
from abc import ABC, abstractmethod
from typing import Optional, Union

from .. import Dataset, DatasetDict, Features, IterableDataset, IterableDatasetDict, NamedSplit
from ..utils.typing import NestedDataStructureLike, PathLike
class 					_snake_case		(__SCREAMING_SNAKE_CASE):






			def __init__(  self			,_snake_case = None			,_snake_case = None			,_snake_case = None			,_snake_case = None			,_snake_case = False			,_snake_case = False			,_snake_case = None			,**_snake_case			,):
				UpperCAmelCase_     :      int						=  path_or_paths
				UpperCAmelCase_     :      Optional[int]						=  split if split or isinstance(_snake_case			,_snake_case     ) else "train"
				UpperCAmelCase_     :      Tuple						=  features
				UpperCAmelCase_     :      int						=  cache_dir
				UpperCAmelCase_     :      Optional[Any]						=  keep_in_memory
				UpperCAmelCase_     :      Any						=  streaming
				UpperCAmelCase_     :      List[str]						=  num_proc
				UpperCAmelCase_     :      int						=  kwargs






			@abstractmethod
			def 		UpperCamelCase__							(  self     ):
				pass




class 					_snake_case		(__SCREAMING_SNAKE_CASE):






			def __init__(  self			,_snake_case = None			,_snake_case = None			,_snake_case = False			,_snake_case = False			,_snake_case = None			,**_snake_case			,):
				UpperCAmelCase_     :      Union[str, Any]						=  features
				UpperCAmelCase_     :      Dict						=  cache_dir
				UpperCAmelCase_     :      int						=  keep_in_memory
				UpperCAmelCase_     :      int						=  streaming
				UpperCAmelCase_     :      Tuple						=  num_proc
				UpperCAmelCase_     :      Optional[Any]						=  kwargs






			@abstractmethod
			def 		UpperCamelCase__							(  self     ):
				pass











'''simple docstring'''






from __future__ import annotations

import math







def 					_a						(       _lowerCamelCase    ,	_lowerCamelCase    ,	_lowerCamelCase    ,	_lowerCamelCase    ,	_lowerCamelCase ) ->				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 					_a						(       ) ->				None:



			"""simple docstring"""


			__snake_case					:      Union[str, Any]							      =     [90, 23, 6, 33, 21, 65, 123, 3_4423]
			__snake_case					:      Optional[int]							      =     math.log(len(_lowerCamelCase )    ,	2 )
			print(F'''Optimal value : {minimax(0    ,	0    ,	_lowerCamelCase    ,	_lowerCamelCase    ,	_lowerCamelCase )}''' )


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	main()


