



'''simple docstring'''





import unittest

import numpy as np

from diffusers import LMSDiscreteScheduler, OnnxStableDiffusionInpaintPipeline
from diffusers.utils.testing_utils import (
    is_onnx_available,
    load_image,
    nightly,
    require_onnxruntime,
    require_torch_gpu,
)

from ..test_pipelines_onnx_common import OnnxPipelineTesterMixin


if is_onnx_available():
 import onnxruntime as ort


class 					snake_case			(UpperCamelCase		,   unittest.TestCase ):
       # FIXME: add fast tests
       pass





@nightly
@require_onnxruntime
@require_torch_gpu
class 					snake_case			(unittest.TestCase ):



       @property
       def 				_a   (					self   )	->				Union[str, Any]:
           return (
               "CUDAExecutionProvider",
               {
                   "gpu_mem_limit": "15000000000",  # 15GB
                   "arena_extend_strategy": "kSameAsRequested",
               },
           )



       @property
       def 				_a   (					self   )	->				Dict:
           lowercase__									=    ort.SessionOptions()
           lowercase__									=    False
           return options



       def 				_a   (					self   )	->				Optional[Any]:
           lowercase__									=    load_image(
               "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
               "/in_paint/overture-creations-5sI6fQgYIuo.png"   )
           lowercase__									=    load_image(
               "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
               "/in_paint/overture-creations-5sI6fQgYIuo_mask.png"   )
           lowercase__									=    OnnxStableDiffusionInpaintPipeline.from_pretrained(
               "runwayml/stable-diffusion-inpainting"  ,revision="onnx"  ,safety_checker=UpperCAmelCase_  ,feature_extractor=UpperCAmelCase_  ,provider=self.gpu_provider  ,sess_options=self.gpu_options  ,)
           pipe.set_progress_bar_config(disable=UpperCAmelCase_   )

           lowercase__									=    "A red cat sitting on a park bench"

           lowercase__									=    np.random.RandomState(0   )
           lowercase__									=    pipe(
               prompt=UpperCAmelCase_  ,image=UpperCAmelCase_  ,mask_image=UpperCAmelCase_  ,guidance_scale=7.5  ,num_inference_steps=10  ,generator=UpperCAmelCase_  ,output_type="np"  ,)
           lowercase__									=    output.images
           lowercase__									=    images[0, 255:258, 255:258, -1]

           assert images.shape == (1, 512, 512, 3)
           lowercase__									=    np.array([0.25_14, 0.30_07, 0.35_17, 0.17_90, 0.23_82, 0.31_67, 0.19_44, 0.22_73, 0.24_64]   )

           assert np.abs(image_slice.flatten() - expected_slice   ).max() < 1E-3







       def 				_a   (					self   )	->				Optional[int]:
           lowercase__									=    load_image(
               "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
               "/in_paint/overture-creations-5sI6fQgYIuo.png"   )
           lowercase__									=    load_image(
               "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
               "/in_paint/overture-creations-5sI6fQgYIuo_mask.png"   )
           lowercase__									=    LMSDiscreteScheduler.from_pretrained(
               "runwayml/stable-diffusion-inpainting"  ,subfolder="scheduler"  ,revision="onnx"   )
           lowercase__									=    OnnxStableDiffusionInpaintPipeline.from_pretrained(
               "runwayml/stable-diffusion-inpainting"  ,revision="onnx"  ,scheduler=UpperCAmelCase_  ,safety_checker=UpperCAmelCase_  ,feature_extractor=UpperCAmelCase_  ,provider=self.gpu_provider  ,sess_options=self.gpu_options  ,)
           pipe.set_progress_bar_config(disable=UpperCAmelCase_   )

           lowercase__									=    "A red cat sitting on a park bench"

           lowercase__									=    np.random.RandomState(0   )
           lowercase__									=    pipe(
               prompt=UpperCAmelCase_  ,image=UpperCAmelCase_  ,mask_image=UpperCAmelCase_  ,guidance_scale=7.5  ,num_inference_steps=20  ,generator=UpperCAmelCase_  ,output_type="np"  ,)
           lowercase__									=    output.images
           lowercase__									=    images[0, 255:258, 255:258, -1]

           assert images.shape == (1, 512, 512, 3)
           lowercase__									=    np.array([0.00_86, 0.00_77, 0.00_83, 0.00_93, 0.01_07, 0.01_39, 0.00_94, 0.00_97, 0.01_25]   )

           assert np.abs(image_slice.flatten() - expected_slice   ).max() < 1E-3









'''simple docstring'''





def 							lowerCamelCase	(					_snake_case	:    list							):





    '''simple docstring'''


    if not isinstance(_snake_case  ,_snake_case							):
        raise ValueError("Input series is not valid, valid series - [2, 4, 6]"							)
    if len(_snake_case							) == 0:
        raise ValueError("Input list must be a non empty list"							)
    if len(_snake_case							) == 1:
        return True
    lowercase__									=    series[1] - series[0]
    for index in range(len(_snake_case							) - 1							):
        if series[index + 1] - series[index] != common_diff:
            return False
    return True




def 							lowerCamelCase	(					_snake_case	:    list							):





    '''simple docstring'''


    if not isinstance(_snake_case  ,_snake_case							):
        raise ValueError("Input series is not valid, valid series - [2, 4, 6]"							)
    if len(_snake_case							) == 0:
        raise ValueError("Input list must be a non empty list"							)
    lowercase__									=    0
    for val in series:
        answer += val
    return answer / len(_snake_case							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()




