


'''simple docstring'''







import unittest

import numpy as np

from diffusers import OnnxStableDiffusionInpaintPipelineLegacy
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    load_numpy,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)


if is_onnx_available():
       import onnxruntime as ort
@nightly
@require_onnxruntime
@require_torch_gpu
class 	UpperCamelCase__					( unittest.TestCase	):



     """simple docstring"""






     @property
     def a	( self   ):

            '''simple docstring'''

            return (
                "CUDAExecutionProvider",
                {
                    "gpu_mem_limit": "15000000000",  # 15GB
                    "arena_extend_strategy": "kSameAsRequested",
                },
            )







     @property
     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							List[str]   			=       ort.SessionOptions()
            _lowerCAmelCase    :							str   			=       False
            return options







     def a	( self   ):

            '''simple docstring'''

            _lowerCAmelCase    :							Dict   			=       load_image(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/overture-creations-5sI6fQgYIuo.png'   )
            _lowerCAmelCase    :							int   			=       load_image(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/overture-creations-5sI6fQgYIuo_mask.png'   )
            _lowerCAmelCase    :							List[str]   			=       load_numpy(
                'https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'
                '/in_paint/red_cat_sitting_on_a_park_bench_onnx.npy'   )

            # using the PNDM scheduler by default
            _lowerCAmelCase    :							Optional[Any]   			=       OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
                'CompVis/stable-diffusion-v1-4'      ,	revision='onnx'      ,	safety_checker=snake_case__      ,	feature_extractor=snake_case__      ,	provider=self.gpu_provider      ,	sess_options=self.gpu_options      ,	)
            pipe.set_progress_bar_config(disable=snake_case__   )

            _lowerCAmelCase    :							Union[str, Any]   			=       'A red cat sitting on a park bench'

            _lowerCAmelCase    :							Tuple   			=       np.random.RandomState(0   )
            _lowerCAmelCase    :							Tuple   			=       pipe(
                prompt=snake_case__      ,	image=snake_case__      ,	mask_image=snake_case__      ,	strength=0.75      ,	guidance_scale=7.5      ,	num_inference_steps=15      ,	generator=snake_case__      ,	output_type='np'      ,	)

            _lowerCAmelCase    :							Optional[int]   			=       output.images[0]

            assert image.shape == (512, 512, 3)
            assert np.abs(expected_image - image   ).max() < 1E-2





'''simple docstring'''







import pytest

import datasets


# Import fixture modules as plugins
lowerCAmelCase    :     List[str]					=						["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]






def 			lowercase				(_A   ,						_A					):







       """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 			lowercase				(_A					):







       """simple docstring"""







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






@pytest.fixture(autouse=_A					)
def 			lowercase				(_A   ,						_A					):







       """simple docstring"""







       _lowerCAmelCase    :							str   			=       tmp_path_factory.getbasetemp() / 'cache'
       _lowerCAmelCase    :							Dict   			=       test_hf_cache_home / 'datasets'
       _lowerCAmelCase    :							List[Any]   			=       test_hf_cache_home / 'metrics'
       _lowerCAmelCase    :							List[Any]   			=       test_hf_cache_home / 'modules'
       monkeypatch.setattr('datasets.config.HF_DATASETS_CACHE'   ,						str(_A					)					)
       monkeypatch.setattr('datasets.config.HF_METRICS_CACHE'   ,						str(_A					)					)
       monkeypatch.setattr('datasets.config.HF_MODULES_CACHE'   ,						str(_A					)					)
       _lowerCAmelCase    :							Dict   			=       test_hf_datasets_cache / 'downloads'
       monkeypatch.setattr('datasets.config.DOWNLOADED_DATASETS_PATH'   ,						str(_A					)					)
       _lowerCAmelCase    :							Union[str, Any]   			=       test_hf_datasets_cache / 'downloads' / 'extracted'
       monkeypatch.setattr('datasets.config.EXTRACTED_DATASETS_PATH'   ,						str(_A					)					)






@pytest.fixture(autouse=_A   ,						scope='session'					)
def 			lowercase				():







       """simple docstring"""







       datasets.disable_progress_bar()






@pytest.fixture(autouse=_A					)
def 			lowercase				(_A					):







       """simple docstring"""







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






@pytest.fixture
def 			lowercase				(_A					):







       """simple docstring"""







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

