




"""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


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





@require_torch
class     lowercase_	(					unittest.TestCase							):



 '''simple docstring'''

 @cached_property
 def       lowerCAmelCase_							(			self	:	Optional[Any]		):
       return AutoConfig.from_pretrained(_UpperCAmelCase		)

 def       lowerCAmelCase_							(			self	:	List[Any]		):
       _A       ,   *_A        =       create_student_by_copying_alternating_layers(_UpperCAmelCase   ,							tempfile.mkdtemp()   ,							e=1   ,							d=1		)
       self.assertEqual(student.config.num_hidden_layers   ,							1		)

 def       lowerCAmelCase_							(			self	:	Optional[Any]		):
       _A       ,   *_A        =       create_student_by_copying_alternating_layers(_UpperCAmelCase   ,							tempfile.mkdtemp()   ,							e=1   ,							d=_UpperCAmelCase		)

 def       lowerCAmelCase_							(			self	:	Tuple		):
       _A       ,   *_A        =       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       lowerCAmelCase_							(			self	:	str		):
       _A       ,   *_A        =       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       lowerCAmelCase_							(			self	:	Optional[int]		):
       with self.assertRaises(_UpperCAmelCase		):
             create_student_by_copying_alternating_layers(_UpperCAmelCase   ,							tempfile.mkdtemp()   ,							e=_UpperCAmelCase   ,							d=_UpperCAmelCase		)







"""simple docstring"""

import os

from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home


a         =      HUGGINGFACE_HUB_CACHE


a         =      '''config.json'''
a         =      '''diffusion_pytorch_model.bin'''
a         =      '''diffusion_flax_model.msgpack'''
a         =      '''model.onnx'''
a         =      '''diffusion_pytorch_model.safetensors'''
a         =      '''weights.pb'''
a         =      '''https://huggingface.co'''
a         =      default_cache_path
a         =      '''diffusers_modules'''
a         =      os.getenv('''HF_MODULES_CACHE''', os.path.join(hf_cache_home, '''modules'''))
a         =      ['''fp16''', '''non-ema''']
a         =      '''.self_attn'''

