





from __future__ import annotations

import math


def     lowerCamelCase_	(      lowerCAmelCase:	int    ,							lowerCAmelCase:	int    ,							lowerCAmelCase:	bool    ,							lowerCAmelCase:	list[int]    ,							lowerCAmelCase:	float				)->		int:


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

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

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


def     lowerCamelCase_	(      )->		str:
  _snake_case   :				Union[str, Any]														=	[90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
  _snake_case   :				Dict														=	math.log(len(_UpperCamelCase				)    ,							2				)
  print('Optimal value : '    ,							end=''				)
  print(minimax(0    ,							0    ,							_UpperCamelCase    ,							_UpperCamelCase    ,							_UpperCamelCase				)				)


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      main()











from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters


def     lowerCamelCase_	(      )->		Any:
  _snake_case   :				List[str]														=	{
      'repo_name': ['test_repo1', 'test_repo2', 'test_repo3'],
      'path': ['test_1.py', 'test_2.py', 'unit_test.py'],
      'content': ['a ' * 20, 'a ' * 30, 'b ' * 7],
  }
  _snake_case   :				Optional[Any]														=	Dataset.from_dict(lowerCAmelCase				)
  return dataset







class        _lowerCAmelCase    (			UpperCAmelCase_							):


  '''simple docstring'''







  def UpperCamelCase_ (      self      :					Dict							):


    '''simple docstring'''





    _snake_case   :				Union[str, Any]														=	get_dataset()
    _snake_case   :				Tuple														=	make_duplicate_clusters(UpperCamelCase      ,				0.85							)
    self.assertEqual(len(duplicate_clusters[0]							)      ,				2							)







  def UpperCamelCase_ (      self      :					Dict							):


    '''simple docstring'''





    _snake_case   :				List[str]														=	get_dataset()
    _snake_case							,					_snake_case   :				str														=	deduplicate_dataset(UpperCamelCase							)
    self.assertEqual(len(UpperCamelCase							)      ,				2							)
    print(UpperCamelCase							)
    self.assertEqual(duplicate_clusters[0][0]['copies']      ,				2							)
    self.assertEqual(duplicate_clusters[0][0]['is_extreme']      ,				UpperCamelCase							)




