






'''simple docstring'''





import gc
import unittest

from diffusers import FlaxStableDiffusionInpaintPipeline
from diffusers.utils import is_flax_available, load_image, slow
from diffusers.utils.testing_utils import require_flax


if is_flax_available():
			import jax
			import jax.numpy as jnp
			from flax.jax_utils import replicate
			from flax.training.common_utils import shard
@slow
@require_flax
class  lowerCAmelCase_       (				unittest.TestCase					):




							def 						__snake_case					(   self     :   Tuple	):
											# clean up the VRAM after each test
											super().tearDown()
											gc.collect()




							def 						__snake_case					(   self     :   str	):
											lowerCAmelCase__      			=						load_image(
											    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'''
											    '''/sd2-inpaint/init_image.png'''	)
											lowerCAmelCase__      			=						load_image(
											    '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png'''	)

											lowerCAmelCase__      			=						'xvjiarui/stable-diffusion-2-inpainting'
											lowerCAmelCase__      			=						FlaxStableDiffusionInpaintPipeline.from_pretrained(_lowercase ,							safety_checker=_lowercase	)

											lowerCAmelCase__      			=						'Face of a yellow cat, high resolution, sitting on a park bench'

											lowerCAmelCase__      			=						jax.random.PRNGKey(0	)
											lowerCAmelCase__      			=						50

											lowerCAmelCase__      			=						jax.device_count()
											lowerCAmelCase__      			=						num_samples * [prompt]
											lowerCAmelCase__      			=						num_samples * [init_image]
											lowerCAmelCase__      			=						num_samples * [mask_image]
											lowerCAmelCase__      			=						pipeline.prepare_inputs(_lowercase ,							_lowercase ,							_lowercase	)

											# shard inputs and rng
											lowerCAmelCase__      			=						replicate(_lowercase	)
											lowerCAmelCase__      			=						jax.random.split(_lowercase ,							jax.device_count()	)
											lowerCAmelCase__      			=						shard(_lowercase	)
											lowerCAmelCase__      			=						shard(_lowercase	)
											lowerCAmelCase__      			=						shard(_lowercase	)

											lowerCAmelCase__      			=						pipeline(
											    _lowercase ,							_lowercase ,							_lowercase ,							_lowercase ,							_lowercase ,							_lowercase ,							jit=_lowercase	)

											lowerCAmelCase__      			=						output.images.reshape(_lowercase ,							512 ,							512 ,							3	)

											lowerCAmelCase__      			=						images[0, 253:256, 253:256, -1]

											lowerCAmelCase__      			=						jnp.asarray(jax.device_get(image_slice.flatten()	)	)
											lowerCAmelCase__      			=						jnp.array(
											    [0.3_611_307, 0.37_649_736, 0.3_757_408, 0.38_213_953, 0.39_295_167, 0.3_841_631, 0.41_554_978, 0.4_137_475, 0.4_217_084]	)
											print(f'output_slice: {output_slice}'	)
											assert jnp.abs(output_slice - expected_slice	).max() < 1e-2













import pytest

import datasets


# Import fixture modules as plugins
_UpperCAmelCase			:		Tuple   				=    ["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]





def 	lowerCAmelCase_		(lowercase__						:       Optional[int]     ,					lowercase__						:       int       )		->    Any:


				'''simple docstring'''




				for item in items:
								if any(marker in item.keywords for marker in ['''integration''', '''unit''']       ):
												continue
								item.add_marker(pytest.mark.unit       )





def 	lowerCAmelCase_		(lowercase__						:       str       )		->    List[str]:


				'''simple docstring'''




				config.addinivalue_line('''markers'''     ,					'''torchaudio_latest: mark test to run with torchaudio>=0.12'''       )





@pytest.fixture(autouse=lowercase__       )
def 	lowerCAmelCase_		(lowercase__						:       int     ,					lowercase__						:       Dict       )		->    Optional[Any]:


				'''simple docstring'''




				lowerCAmelCase__      			=						tmp_path_factory.getbasetemp() / '''cache'''
				lowerCAmelCase__      			=						test_hf_cache_home / '''datasets'''
				lowerCAmelCase__      			=						test_hf_cache_home / '''metrics'''
				lowerCAmelCase__      			=						test_hf_cache_home / '''modules'''
				monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''     ,					str(lowercase__       )       )
				monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''     ,					str(lowercase__       )       )
				monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''     ,					str(lowercase__       )       )
				lowerCAmelCase__      			=						test_hf_datasets_cache / '''downloads'''
				monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''     ,					str(lowercase__       )       )
				lowerCAmelCase__      			=						test_hf_datasets_cache / '''downloads''' / '''extracted'''
				monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''     ,					str(lowercase__       )       )





@pytest.fixture(autouse=lowercase__     ,					scope='''session'''       )
def 	lowerCAmelCase_		()		->    int:


				'''simple docstring'''




				datasets.disable_progress_bar()





@pytest.fixture(autouse=lowercase__       )
def 	lowerCAmelCase_		(lowercase__						:       Dict       )		->    List[str]:


				'''simple docstring'''




				monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''     ,					lowercase__       )





@pytest.fixture
def 	lowerCAmelCase_		(lowercase__						:       List[str]       )		->    List[Any]:


				'''simple docstring'''




				monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''     ,					lowercase__       )





