
"""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 		UpperCAmelCase_						(unittest.TestCase    ):
 """simple docstring"""




 @cached_property
 def 	a   (			self							:			Dict			)->       List[Any]:



      """simple docstring"""

      return AutoConfig.from_pretrained(a_			)




 def 	a   (			self							:			List[str]			)->       Dict:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     Tuple            =	create_student_by_copying_alternating_layers(a_  , tempfile.mkdtemp()  , e=1  , d=1			)
      self.assertEqual(student.config.num_hidden_layers  , 1			)




 def 	a   (			self							:			List[str]			)->       str:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     Dict            =	create_student_by_copying_alternating_layers(a_  , tempfile.mkdtemp()  , e=1  , d=a_			)




 def 	a   (			self							:			Any			)->       List[Any]:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     Union[str, Any]            =	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 	a   (			self							:			Tuple			)->       str:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     str            =	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 	a   (			self							:			Optional[int]			)->       Optional[int]:



      """simple docstring"""

      with self.assertRaises(a_			):
           create_student_by_copying_alternating_layers(a_  , tempfile.mkdtemp()  , e=a_  , d=a_			)



"""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 		UpperCAmelCase_						(unittest.TestCase    ):
 """simple docstring"""




 @cached_property
 def 	a   (			self							:			Dict			)->       List[Any]:



      """simple docstring"""

      return AutoConfig.from_pretrained(a_			)




 def 	a   (			self							:			List[str]			)->       Dict:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     Tuple            =	create_student_by_copying_alternating_layers(a_  , tempfile.mkdtemp()  , e=1  , d=1			)
      self.assertEqual(student.config.num_hidden_layers  , 1			)




 def 	a   (			self							:			List[str]			)->       str:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     Dict            =	create_student_by_copying_alternating_layers(a_  , tempfile.mkdtemp()  , e=1  , d=a_			)




 def 	a   (			self							:			Any			)->       List[Any]:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     Union[str, Any]            =	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 	a   (			self							:			Tuple			)->       str:



      """simple docstring"""

      UpperCAmelCase_       ,*UpperCAmelCase_    :     str            =	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 	a   (			self							:			Optional[int]			)->       Optional[int]:



      """simple docstring"""

      with self.assertRaises(a_			):
           create_student_by_copying_alternating_layers(a_  , tempfile.mkdtemp()  , e=a_  , d=a_			)

