
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


SCREAMING_SNAKE_CASE__							=				"""sshleifer/bart-tiny-random"""
SCREAMING_SNAKE_CASE__							=				"""patrickvonplaten/t5-tiny-random"""
@require_torch
class 	A__   (						unittest.TestCase				):





							@cached_property
							def 			a__ ( self  :   Any				)						->		Optional[int]:



											"""simple docstring"""


											return AutoConfig.from_pretrained(lowerCamelCase__				)





							def 			a__ ( self  :   Dict				)						->		Dict:



											"""simple docstring"""


											__lowercase								=					create_student_by_copying_alternating_layers(lowerCamelCase__     , tempfile.mkdtemp()     , e=1     , d=1				)
											self.assertEqual(student.config.num_hidden_layers     , 1				)





							def 			a__ ( self  :   Any				)						->		Dict:



											"""simple docstring"""


											__lowercase								=					create_student_by_copying_alternating_layers(lowerCamelCase__     , tempfile.mkdtemp()     , e=1     , d=lowerCamelCase__				)





							def 			a__ ( self  :   str				)						->		Union[str, Any]:



											"""simple docstring"""


											__lowercase								=					create_student_by_copying_alternating_layers(lowerCamelCase__     , tempfile.mkdtemp()     , e=1     , d=lowerCamelCase__				)
											self.assertEqual(student.config.encoder_layers     , 1				)
											self.assertEqual(student.config.decoder_layers     , self.teacher_config.encoder_layers				)





							def 			a__ ( self  :   str				)						->		Optional[int]:



											"""simple docstring"""


											__lowercase								=					create_student_by_copying_alternating_layers(lowerCamelCase__     , tempfile.mkdtemp()     , e=1     , d=1				)
											self.assertEqual(student.config.encoder_layers     , 1				)
											self.assertEqual(student.config.decoder_layers     , 1				)





							def 			a__ ( self  :   Tuple				)						->		Union[str, Any]:



											"""simple docstring"""


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









'''simple docstring'''


import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    'The `image_to_image.py` script is outdated. Please use directly `from diffusers import'
    ' StableDiffusionImg2ImgPipeline` instead.'
)



