


from __future__ import annotations

import math



def UpperCamelCase_				(				__a			,				__a			,				__a			,				__a			,				__a      )	->   int:

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

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

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



def UpperCamelCase_				(				)	->   None:
      a__	:  Optional[Any]     =   [90, 23, 6, 33, 21, 65, 123, 34_423]
      a__	:  Optional[int]     =   math.log(len(__a      )			,				2      )
      print("Optimal value : "			,				end=""      )
      print(minimax(0			,				0			,				__a			,				__a			,				__a      )      )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()


import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


_lowercase:	str       			=		'''sshleifer/bart-tiny-random'''
_lowercase:	Union[str, Any]       			=		'''patrickvonplaten/t5-tiny-random'''



@require_torch
class        lowerCamelCase__				(   unittest.TestCase				):





			@cached_property
			def   SCREAMING_SNAKE_CASE__     (       self	:	Tuple						):
										return AutoConfig.from_pretrained(lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	int						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=1						)
										self.assertEqual(student.config.num_hidden_layers  ,  1						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Dict						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=lowercase__						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	Union[str, Any]						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=lowercase__						)
										self.assertEqual(student.config.encoder_layers  ,  1						)
										self.assertEqual(student.config.decoder_layers  ,  self.teacher_config.encoder_layers						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	str						):
										_lowerCAmelCase			,		*_lowerCAmelCase							=							create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=1  ,  d=1						)
										self.assertEqual(student.config.encoder_layers  ,  1						)
										self.assertEqual(student.config.decoder_layers  ,  1						)





			def   SCREAMING_SNAKE_CASE__     (       self	:	List[str]						):
										with self.assertRaises(lowercase__						):
																	create_student_by_copying_alternating_layers(lowercase__  ,  tempfile.mkdtemp()  ,  e=lowercase__  ,  d=lowercase__						)






