






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						:			List[Any]     	=					"sshleifer/bart-tiny-random"
a						:			Any     	=					"patrickvonplaten/t5-tiny-random"
@require_torch
class        a       (					unittest.TestCase  ):



      """simple docstring"""


      @cached_property
      def       UpperCAmelCase ( self   :     List[str]   )				-> List[Any]:
        return AutoConfig.from_pretrained(__lowercase   )
      def       UpperCAmelCase ( self   :     str   )				-> List[str]:
        __UpperCAmelCase ,					*__UpperCAmelCase				:      Union[str, Any]	 =    create_student_by_copying_alternating_layers(__lowercase						, tempfile.mkdtemp()						, e=1						, d=1   )
        self.assertEqual(student.config.num_hidden_layers						, 1   )
      def       UpperCAmelCase ( self   :     Optional[Any]   )				-> str:
        __UpperCAmelCase ,					*__UpperCAmelCase				:      int	 =    create_student_by_copying_alternating_layers(__lowercase						, tempfile.mkdtemp()						, e=1						, d=__lowercase   )
      def       UpperCAmelCase ( self   :     str   )				-> Union[str, Any]:
        __UpperCAmelCase ,					*__UpperCAmelCase				:      List[Any]	 =    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       UpperCAmelCase ( self   :     Dict   )				-> str:
        __UpperCAmelCase ,					*__UpperCAmelCase				:      Dict	 =    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       UpperCAmelCase ( self   :     Optional[Any]   )				-> List[Any]:
        with self.assertRaises(__lowercase   ):
          create_student_by_copying_alternating_layers(__lowercase						, tempfile.mkdtemp()						, e=__lowercase						, d=__lowercase   )










from __future__ import annotations

from typing import Generic, TypeVar

__a   :							str						= TypeVar("T")


class    __lowercase   (						Generic[T]	):







     '''simple docstring'''




     def __init__(					self							:      Any			,						UpperCamelCase_							:      T					):


         """simple docstring"""



         __A       =						data
         __A       =						self
         __A       =						0


class    __lowercase   (						Generic[T]	):







     '''simple docstring'''




     def __init__(					self							:      Optional[Any]					):


         """simple docstring"""



         __A       =						{}




     def 		lowerCAmelCase_  (					self							:      Union[str, Any]			,						UpperCamelCase_							:      T					):


         """simple docstring"""



         __A       =						DisjointSetTreeNode(UpperCamelCase_					)




     def 		lowerCAmelCase_  (					self							:      List[Any]			,						UpperCamelCase_							:      T					):


         """simple docstring"""



         __A       =						self.map[data]
         if elem_ref != elem_ref.parent:
             __A       =						self.find_set(elem_ref.parent.data					)
         return elem_ref.parent




     def 		lowerCAmelCase_  (					self							:      int			,						UpperCamelCase_							:      DisjointSetTreeNode[T]			,						UpperCamelCase_							:      DisjointSetTreeNode[T]					):


         """simple docstring"""



         if nodea.rank > nodea.rank:
             __A       =						nodea
         else:
             __A       =						nodea
             if nodea.rank == nodea.rank:
                 nodea.rank += 1





     def 		lowerCAmelCase_  (					self							:      Tuple			,						UpperCamelCase_							:      T			,						UpperCamelCase_							:      T					):


         """simple docstring"""



         self.link(self.find_set(UpperCamelCase_					)			,						self.find_set(UpperCamelCase_					)					)


class    __lowercase   (						Generic[T]	):







     '''simple docstring'''




     def __init__(					self							:      Optional[int]					):


         """simple docstring"""



         __A       =						{}




     def 		lowerCAmelCase_  (					self							:      int			,						UpperCamelCase_							:      T					):


         """simple docstring"""



         if node not in self.connections:
             __A       =						{}




     def 		lowerCAmelCase_  (					self							:      Dict			,						UpperCamelCase_							:      T			,						UpperCamelCase_							:      T			,						UpperCamelCase_							:      int					):


         """simple docstring"""



         self.add_node(UpperCamelCase_					)
         self.add_node(UpperCamelCase_					)
         __A       =						weight
         __A       =						weight





     def 		lowerCAmelCase_  (					self							:      Dict					):


         """simple docstring"""



         __A       =						[]
         __A       =						set()
         for start in self.connections:
             for end in self.connections[start]:
                 if (start, end) not in seen:
                     seen.add((end, start)					)
                     edges.append((start, end, self.connections[start][end])					)
         edges.sort(key=lambda UpperCamelCase_					: x[2]					)

         # creating the disjoint set
         __A       =						DisjointSetTree[T]()
         for node in self.connections:
             disjoint_set.make_set(UpperCamelCase_					)

         # MST generation
         __A       =						0
         __A       =						0
         __A       =						GraphUndirectedWeighted[T]()
         while num_edges < len(self.connections					) - 1:
             __A     ,						__A     ,						__A       =						edges[index]
             index += 1
             __A       =						disjoint_set.find_set(UpperCamelCase_					)
             __A       =						disjoint_set.find_set(UpperCamelCase_					)
             if parent_u != parent_v:
                 num_edges += 1
                 graph.add_edge(UpperCamelCase_			,						UpperCamelCase_			,						UpperCamelCase_					)
                 disjoint_set.union(UpperCamelCase_			,						UpperCamelCase_					)
         return graph




