
'''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


a_											=						"sshleifer/bart-tiny-random"
a_											=						"patrickvonplaten/t5-tiny-random"






@require_torch
class    UpperCAmelCase_				(	unittest.TestCase					):





 @cached_property
 def        snake_case__		(    self):
     return AutoConfig.from_pretrained(lowercase_)





 def        snake_case__		(    self):
     snake_case_			, *snake_case_ :    Dict     			=						create_student_by_copying_alternating_layers(lowercase_ ,       tempfile.mkdtemp() ,       e=1 ,       d=1)
     self.assertEqual(student.config.num_hidden_layers ,       1)





 def        snake_case__		(    self):
     snake_case_			, *snake_case_ :    int     			=						create_student_by_copying_alternating_layers(lowercase_ ,       tempfile.mkdtemp() ,       e=1 ,       d=lowercase_)





 def        snake_case__		(    self):
     snake_case_			, *snake_case_ :    str     			=						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        snake_case__		(    self):
     snake_case_			, *snake_case_ :    Optional[int]     			=						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        snake_case__		(    self):
     with self.assertRaises(lowercase_):
         create_student_by_copying_alternating_layers(lowercase_ ,       tempfile.mkdtemp() ,       e=lowercase_ ,       d=lowercase_)






'''simple docstring'''
from __future__ import annotations

import math

def 						UpperCamelCase_     (	__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE,		__SCREAMING_SNAKE_CASE       ):
    """simple docstring"""






    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 						UpperCamelCase_     (	):
    """simple docstring"""






    snake_case_ :    int     			=						[9_0, 2_3, 6, 3_3, 2_1, 6_5, 1_2_3, 3_4_4_2_3]
    snake_case_ :    Union[str, Any]     			=						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()




