





'''simple docstring'''







import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin
@skip_mps
class 				__SCREAMING_SNAKE_CASE  (__a       ,							__a       ,							unittest.TestCase      ):






				"""simple docstring"""







				__a            =IFInpaintingPipeline
				__a            =TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {"""width""", """height"""}
				__a            =TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
				__a            =PipelineTesterMixin.required_optional_params - {"""latents"""}




				def   UpperCamelCase__   (  self     :					Union[str, Any]					):
								return self._get_dummy_components()




				def   UpperCamelCase__   (  self     :					Union[str, Any]					,				__a     :					Union[str, Any]					,				__a     :					Tuple=0					):

								if str(__a					).startswith("mps"					):
												_a								= torch.manual_seed(__a					)
								else:
												_a								= torch.Generator(device=__a					).manual_seed(__a					)

								_a								= floats_tensor((1, 3, 32, 32)					,				rng=random.Random(__a					)					).to(__a					)
								_a								= floats_tensor((1, 3, 32, 32)					,				rng=random.Random(__a					)					).to(__a					)

								_a								= {
								    "prompt": "A painting of a squirrel eating a burger",
								    "image": image,
								    "mask_image": mask_image,
								    "generator": generator,
								    "num_inference_steps": 2,
								    "output_type": "numpy",
								}

								return inputs




				@unittest.skipIf(
				    torch_device != "cuda" or not is_xformers_available()					,				reason="XFormers attention is only available with CUDA and `xformers` installed"					,				)
				def   UpperCamelCase__   (  self     :					str					):
								self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3					)




				def   UpperCamelCase__   (  self     :					Optional[int]					):
								self._test_save_load_optional_components()




				@unittest.skipIf(torch_device != "cuda"					,				reason="float16 requires CUDA"					)
				def   UpperCamelCase__   (  self     :					List[Any]					):
								super().test_save_load_floataa(expected_max_diff=1e-1					)




				def   UpperCamelCase__   (  self     :					Dict					):
								self._test_attention_slicing_forward_pass(expected_max_diff=1e-2					)




				def   UpperCamelCase__   (  self     :					str					):
								self._test_save_load_local()




				def   UpperCamelCase__   (  self     :					int					):
								self._test_inference_batch_single_identical(
								    expected_max_diff=1e-2					,				)






'''simple docstring'''







from ..utils import DummyObject, requires_backends


class 			_a  (	metaclass=__a ):
       __a				:     int   				=					["""flax""", """transformers"""]
       def __init__(	self						:	Optional[Any]   ,				*lowercase						:	str   ,				**lowercase						:	List[Any]				):



           '''simple docstring'''

           requires_backends(self   ,				['''flax''', '''transformers''']				)
       @classmethod
       def     A      (	cls						:	Union[str, Any]   ,				*lowercase						:	List[Any]   ,				**lowercase						:	List[str]				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)







       @classmethod
       def     A      (	cls						:	Union[str, Any]   ,				*lowercase						:	Tuple   ,				**lowercase						:	int				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)






class 			_a  (	metaclass=__a ):
       __a				:     int   				=					["""flax""", """transformers"""]
       def __init__(	self						:	int   ,				*lowercase						:	Tuple   ,				**lowercase						:	Dict				):



           '''simple docstring'''

           requires_backends(self   ,				['''flax''', '''transformers''']				)
       @classmethod
       def     A      (	cls						:	List[str]   ,				*lowercase						:	Optional[int]   ,				**lowercase						:	List[Any]				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)







       @classmethod
       def     A      (	cls						:	Dict   ,				*lowercase						:	Union[str, Any]   ,				**lowercase						:	Union[str, Any]				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)






class 			_a  (	metaclass=__a ):
       __a				:     int   				=					["""flax""", """transformers"""]
       def __init__(	self						:	Optional[int]   ,				*lowercase						:	Union[str, Any]   ,				**lowercase						:	Any				):



           '''simple docstring'''

           requires_backends(self   ,				['''flax''', '''transformers''']				)
       @classmethod
       def     A      (	cls						:	Union[str, Any]   ,				*lowercase						:	Tuple   ,				**lowercase						:	Any				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)







       @classmethod
       def     A      (	cls						:	Any   ,				*lowercase						:	Dict   ,				**lowercase						:	Optional[Any]				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)






class 			_a  (	metaclass=__a ):
       __a				:     Any   				=					["""flax""", """transformers"""]
       def __init__(	self						:	Any   ,				*lowercase						:	Optional[Any]   ,				**lowercase						:	Optional[int]				):



           '''simple docstring'''

           requires_backends(self   ,				['''flax''', '''transformers''']				)
       @classmethod
       def     A      (	cls						:	Dict   ,				*lowercase						:	Optional[Any]   ,				**lowercase						:	Optional[Any]				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)







       @classmethod
       def     A      (	cls						:	Union[str, Any]   ,				*lowercase						:	str   ,				**lowercase						:	Any				):



           '''simple docstring'''

           requires_backends(cls   ,				['''flax''', '''transformers''']				)




