




'''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 		lowercase_   (			unittest.TestCase       ):


   """simple docstring"""

   @cached_property
   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      return AutoConfig.from_pretrained(lowercase_   )



   def 							lowerCAmelCase_      (   self :     Tuple   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				create_student_by_copying_alternating_layers(lowercase_  ,				tempfile.mkdtemp()  ,				e=1  ,				d=1   )
      self.assertEqual(student.config.num_hidden_layers  ,				1   )



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				create_student_by_copying_alternating_layers(lowercase_  ,				tempfile.mkdtemp()  ,				e=1  ,				d=lowercase_   )



   def 							lowerCAmelCase_      (   self :     List[str]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				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 							lowerCAmelCase_      (   self :     List[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				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 							lowerCAmelCase_      (   self :     Tuple   ):

      """simple docstring"""
      with self.assertRaises(lowercase_   ):
         create_student_by_copying_alternating_layers(lowercase_  ,				tempfile.mkdtemp()  ,				e=lowercase_  ,				d=lowercase_   )







'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCamelCase_			=						{
    'configuration_bridgetower': [
        'BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BridgeTowerConfig',
        'BridgeTowerTextConfig',
        'BridgeTowerVisionConfig',
    ],
    'processing_bridgetower': ['BridgeTowerProcessor'],
}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						['BridgeTowerImageProcessor']

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase_			=						[
     'BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST',
     'BridgeTowerForContrastiveLearning',
     'BridgeTowerForImageAndTextRetrieval',
     'BridgeTowerForMaskedLM',
     'BridgeTowerModel',
     'BridgeTowerPreTrainedModel',
 ]


if TYPE_CHECKING:
 from .configuration_bridgetower import (
     BRIDGETOWER_PRETRAINED_CONFIG_ARCHIVE_MAP,
     BridgeTowerConfig,
     BridgeTowerTextConfig,
     BridgeTowerVisionConfig,
 )
 from .processing_bridgetower import BridgeTowerProcessor

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .image_processing_bridgetower import BridgeTowerImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_bridgetower import (
      BRIDGETOWER_PRETRAINED_MODEL_ARCHIVE_LIST,
      BridgeTowerForContrastiveLearning,
      BridgeTowerForImageAndTextRetrieval,
      BridgeTowerForMaskedLM,
      BridgeTowerModel,
      BridgeTowerPreTrainedModel,
  )


else:
 import sys

 lowerCamelCase_			=						_LazyModule(__name__, globals()['__file__'], _import_structure)

