

'''simple docstring'''





from __future__ import annotations

import math






def 				_lowerCAmelCase			(   __magic_name__						:     int   , __magic_name__						:     int   , __magic_name__						:     bool   , __magic_name__						:     list[int]   , __magic_name__						:     float						)				->  int:

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

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

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






def 				_lowerCAmelCase			(   )				->  None:
						lowercase :							Tuple    		=[90, 23, 6, 33, 21, 65, 123, 34423]
						lowercase :							str    		=math.log(len(__magic_name__						)   , 2						)
						print('''Optimal value : '''   , end=''''''						)
						print(minimax(0   , 0   , __magic_name__   , __magic_name__   , __magic_name__						)						)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							main()










from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream



class 			__lowerCAmelCase  (						lowerCAmelCase__ ):




 def __init__(    self						,					__UpperCAmelCase						,					__UpperCAmelCase = None						,					__UpperCAmelCase = None						,					__UpperCAmelCase = False						,					__UpperCAmelCase = False						,					__UpperCAmelCase = None						,					__UpperCAmelCase = None						,					**__UpperCAmelCase						,					):



    '''simple docstring'''
    super().__init__(
        features=__UpperCAmelCase						,					cache_dir=__UpperCAmelCase						,					keep_in_memory=__UpperCAmelCase						,					streaming=__UpperCAmelCase						,					num_proc=__UpperCAmelCase						,					**__UpperCAmelCase						,					)
    __lowerCamelCase    				=     Generator(
        cache_dir=__UpperCAmelCase						,					features=__UpperCAmelCase						,					generator=__UpperCAmelCase						,					gen_kwargs=__UpperCAmelCase						,					**__UpperCAmelCase						,					)




 def 							lowerCamelCase   (    self					):



    '''simple docstring'''
    # Build iterable dataset
    if self.streaming:
       __lowerCamelCase    				=     self.builder.as_streaming_dataset(split='''train'''					)
    # Build regular (map-style) dataset
    else:
       __lowerCamelCase    				=     None
       __lowerCamelCase    				=     None
       __lowerCamelCase    				=     None
       __lowerCamelCase    				=     None

       self.builder.download_and_prepare(
           download_config=__UpperCAmelCase						,					download_mode=__UpperCAmelCase						,					verification_mode=__UpperCAmelCase						,					base_path=__UpperCAmelCase						,					num_proc=self.num_proc						,					)
       __lowerCamelCase    				=     self.builder.as_dataset(
           split='''train'''						,					verification_mode=__UpperCAmelCase						,					in_memory=self.keep_in_memory					)
    return dataset






