




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  _lowerCAmelCase     (  unittest.TestCase	):

      @cached_property
      def 	__magic_name__(   self		):
        return AutoConfig.from_pretrained(__UpperCAmelCase		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__       ,			*lowerCAmelCase__				:  List[Any]		       =     create_student_by_copying_alternating_layers(__UpperCAmelCase      ,				tempfile.mkdtemp()      ,				e=1      ,				d=1		)
        self.assertEqual(student.config.num_hidden_layers      ,				1		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__       ,			*lowerCAmelCase__				:  List[Any]		       =     create_student_by_copying_alternating_layers(__UpperCAmelCase      ,				tempfile.mkdtemp()      ,				e=1      ,				d=__UpperCAmelCase		)

      def 	__magic_name__(   self		):
        lowerCAmelCase__       ,			*lowerCAmelCase__				:  str		       =     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 	__magic_name__(   self		):
        lowerCAmelCase__       ,			*lowerCAmelCase__				:  Tuple		       =     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 	__magic_name__(   self		):
        with self.assertRaises(__UpperCAmelCase		):
          create_student_by_copying_alternating_layers(__UpperCAmelCase      ,				tempfile.mkdtemp()      ,				e=__UpperCAmelCase      ,				d=__UpperCAmelCase		)







import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    """The `inpainting.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionInpaintPipeline` instead."""
)

