

"""simple docstring"""




from __future__ import annotations

import math



def 					a__				(       snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__ ,				snake_case__       )		->      Dict:

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

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

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



def 					a__				(       )		->      Union[str, Any]:
			lowerCamelCase       =      [90, 23, 6, 33, 21, 65, 1_23, 3_44_23]
			lowerCamelCase       =      math.log(len(SCREAMING_SNAKE_CASE_       ) ,				2       )
			print("""Optimal value : """ ,				end=""""""       )
			print(minimax(0 ,				0 ,				SCREAMING_SNAKE_CASE_ ,				SCREAMING_SNAKE_CASE_ ,				SCREAMING_SNAKE_CASE_       )       )


if __name__ == "__main__":
					import doctest

					doctest.testmod()
					main()









"""simple docstring"""




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


lowerCAmelCase							:    Optional[Any]  							=							"""sshleifer/bart-tiny-random"""
lowerCAmelCase							:    List[Any]  							=							"""patrickvonplaten/t5-tiny-random"""






@require_torch
class 					__magic_name__							( unittest.TestCase       ):






				'''simple docstring'''





				@cached_property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return AutoConfig.from_pretrained(_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=1				)
							self.assertEqual(student.config.num_hidden_layers	,				1				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=_a				)
							self.assertEqual(student.config.encoder_layers	,				1				)
							self.assertEqual(student.config.decoder_layers	,				self.teacher_config.encoder_layers				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=1				)
							self.assertEqual(student.config.encoder_layers	,				1				)
							self.assertEqual(student.config.decoder_layers	,				1				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises(_a				):
										create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=_a	,				d=_a				)



