


"""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


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






@require_torch
class 						_A  (  unittest.TestCase  ):







    """simple docstring"""




    @cached_property
    def 	__snake_case							(					self				:    Any):
      return AutoConfig.from_pretrained(__UpperCAmelCase)






    def 	__snake_case							(					self				:    str):
      a							,		*a						:		Optional[int]      							=			create_student_by_copying_alternating_layers(__UpperCAmelCase				, tempfile.mkdtemp()				, e=1				, d=1)
      self.assertEqual(student.config.num_hidden_layers				, 1)






    def 	__snake_case							(					self				:    List[str]):
      a							,		*a						:		Union[str, Any]      							=			create_student_by_copying_alternating_layers(__UpperCAmelCase				, tempfile.mkdtemp()				, e=1				, d=__UpperCAmelCase)






    def 	__snake_case							(					self				:    Union[str, Any]):
      a							,		*a						:		Optional[int]      							=			create_student_by_copying_alternating_layers(__UpperCAmelCase				, tempfile.mkdtemp()				, e=1				, d=__UpperCAmelCase)
      self.assertEqual(student.config.encoder_layers				, 1)
      self.assertEqual(student.config.decoder_layers				, self.teacher_config.encoder_layers)






    def 	__snake_case							(					self				:    List[str]):
      a							,		*a						:		Union[str, Any]      							=			create_student_by_copying_alternating_layers(__UpperCAmelCase				, tempfile.mkdtemp()				, e=1				, d=1)
      self.assertEqual(student.config.encoder_layers				, 1)
      self.assertEqual(student.config.decoder_layers				, 1)






    def 	__snake_case							(					self				:    List[Any]):
      with self.assertRaises(__UpperCAmelCase):
        create_student_by_copying_alternating_layers(__UpperCAmelCase				, tempfile.mkdtemp()				, e=__UpperCAmelCase				, d=__UpperCAmelCase)













from __future__ import annotations



def _a				(	lowerCamelCase:   list[int | str] )	->						None:







      '''simple docstring'''






      create_state_space_tree(lowerCamelCase					,				[]					,				0					,				[0 for i in range(len(lowerCamelCase ) )] )



def _a				(	lowerCamelCase:   list[int | str]					,				lowerCamelCase:   list[int | str]					,				lowerCamelCase:   int					,				lowerCamelCase:   list[int]					,				)	->						None:







      '''simple docstring'''






      if index == len(lowerCamelCase ):
            print(lowerCamelCase )
            return

      for i in range(len(lowerCamelCase ) ):
            if not index_used[i]:
                  current_sequence.append(sequence[i] )
                  __A          =				True
                  create_state_space_tree(lowerCamelCase					,				lowerCamelCase					,				index + 1					,				lowerCamelCase )
                  current_sequence.pop()
                  __A          =				False
snake_case__					:							list[int | str]													=     [3, 1, 2, 4]
generate_all_permutations(sequence)

snake_case__					:							list[int | str]													=     ["A", "B", "C"]







generate_all_permutations(sequence_a)





