
'''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         =    """sshleifer/bart-tiny-random"""
__lowerCAmelCase         =    """patrickvonplaten/t5-tiny-random"""







@require_torch
class UpperCAmelCase__	( unittest.TestCase	):





  """simple docstring"""

  @cached_property
  def   __lowercase		(		self      :     Optional[int]       ):


     '''simple docstring'''






     return AutoConfig.from_pretrained(_a       )


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     _a,  *_a				:	int			=   create_student_by_copying_alternating_layers(_a							,tempfile.mkdtemp()							,e=1							,d=1       )
     self.assertEqual(student.config.num_hidden_layers							,1       )


  def   __lowercase		(		self      :     Dict       ):


     '''simple docstring'''






     _a,  *_a				:	Optional[int]			=   create_student_by_copying_alternating_layers(_a							,tempfile.mkdtemp()							,e=1							,d=_a       )


  def   __lowercase		(		self      :     int       ):


     '''simple docstring'''






     _a,  *_a				:	Tuple			=   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   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     _a,  *_a				:	List[Any]			=   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   __lowercase		(		self      :     Union[str, Any]       ):


     '''simple docstring'''






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





'''simple docstring'''







from __future__ import annotations

from random import choice





def 					UpperCAmelCase_		(__a      :    str ):






   """simple docstring"""

   return choice(__a )





def 					UpperCAmelCase_		(__a      :    list[int] ,	__a      :    int ):






   """simple docstring"""

   _a				:	Dict			=   random_pivot(__a )

   # partition based on pivot
   # linear time
   _a				:	Optional[int]			=   [e for e in lst if e < pivot]
   _a				:	List[str]			=   [e for e in lst if e > pivot]

   # if we get lucky, pivot might be the element we want.
   # we can easily see this:
   # small (elements smaller than k)
   # + pivot (kth element)
   # + big (elements larger than k)
   if len(__a ) == k - 1:
      return pivot
   # pivot is in elements bigger than k
   elif len(__a ) < k - 1:
      return kth_number(__a ,	k - len(__a ) - 1 )
   # pivot is in elements smaller than k
   else:
      return kth_number(__a ,	__a )


if __name__ == "__main__":
  import doctest

  doctest.testmod()



