


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


UpperCAmelCase__   	=							'''sshleifer/bart-tiny-random'''
UpperCAmelCase__   	=							'''patrickvonplaten/t5-tiny-random'''







@require_torch
class       lowerCamelCase__   (       unittest.TestCase):





     @cached_property
     def      __A					(self       )     ->   Optional[int]:
      return AutoConfig.from_pretrained(UpperCAmelCase       )





     def      __A					(self       )     ->   Any:
      _lowercase      ,    *_lowercase							      =create_student_by_copying_alternating_layers(UpperCAmelCase		,     tempfile.mkdtemp()		,     e=1		,     d=1       )
      self.assertEqual(student.config.num_hidden_layers		,     1       )





     def      __A					(self       )     ->   Optional[Any]:
      _lowercase      ,    *_lowercase							      =create_student_by_copying_alternating_layers(UpperCAmelCase		,     tempfile.mkdtemp()		,     e=1		,     d=UpperCAmelCase       )





     def      __A					(self       )     ->   Union[str, Any]:
      _lowercase      ,    *_lowercase							      =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      __A					(self       )     ->   List[Any]:
      _lowercase      ,    *_lowercase							      =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      __A					(self       )     ->   Dict:
      with self.assertRaises(UpperCAmelCase       ):
       create_student_by_copying_alternating_layers(UpperCAmelCase		,     tempfile.mkdtemp()		,     e=UpperCAmelCase		,     d=UpperCAmelCase       )





from typing import TYPE_CHECKING

from ..utils import _LazyModule


UpperCAmelCase__   	=							{
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
  from .config import (
      EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
      OnnxConfig,
      OnnxConfigWithPast,
      OnnxSeqaSeqConfigWithPast,
      PatchingSpec,
  )
  from .convert import export, validate_model_outputs
  from .features import FeaturesManager
  from .utils import ParameterFormat, compute_serialized_parameters_size

else:
  import sys

  UpperCAmelCase__   	=							_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

