
import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


snake_case :		int							      =  False





class       _snake_case					(     unittest.TestCase				):
			pass







@slow
@require_torch_gpu
class       _snake_case					(     unittest.TestCase				):







			def 			SCREAMING_SNAKE_CASE    (				self		):
				__magic_name__		:		Optional[int]	   =     VersatileDiffusionImageVariationPipeline.from_pretrained("shi-labs/versatile-diffusion"		)
				pipe.to(_a		)
				pipe.set_progress_bar_config(disable=_a		)

				__magic_name__		:		Optional[int]	   =     load_image(
				    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg"		)
				__magic_name__		:		Optional[Any]	   =     torch.manual_seed(0		)
				__magic_name__		:		int	   =     pipe(
				    image=_a						,   generator=_a						,   guidance_scale=7.5						,   num_inference_steps=50						,   output_type="numpy"						,   ).images

				__magic_name__		:		List[str]	   =     image[0, 253:256, 253:256, -1]

				assert image.shape == (1, 512, 512, 3)
				__magic_name__		:		Union[str, Any]	   =     np.array([0.04_41, 0.04_69, 0.05_07, 0.05_75, 0.06_32, 0.06_50, 0.08_65, 0.09_09, 0.09_45]		)

				assert np.abs(image_slice.flatten() - expected_slice		).max() < 1e-2


def   lowerCAmelCase_						(					_snake_case      :  list[list[int | float]]   )				->		int:







	'''simple docstring'''


	__magic_name__		:		Any	   =     len(_snake_case   )
	__magic_name__		:		Optional[Any]	   =     len(matrix[0]   )
	__magic_name__		:		Union[str, Any]	   =     min(_snake_case      ,   _snake_case   )

	for row in range(_snake_case   ):
		# Check if diagonal element is not zero
		if matrix[row][row] != 0:
			# Eliminate all the elements below the diagonal
			for col in range(row + 1      ,   _snake_case   ):
				__magic_name__		:		Optional[Any]	   =     matrix[col][row] / matrix[row][row]
				for i in range(_snake_case      ,   _snake_case   ):
					matrix[col][i] -= multiplier * matrix[row][i]
		else:
			# Find a non-zero diagonal element to swap rows
			__magic_name__		:		str	   =     True
			for i in range(row + 1      ,   _snake_case   ):
				if matrix[i][row] != 0:
					__magic_name__   ,    __magic_name__		:		List[str]	   =     matrix[i], matrix[row]
					__magic_name__		:		Union[str, Any]	   =     False
					break
			if reduce:
				rank -= 1
				for i in range(_snake_case   ):
					__magic_name__		:		Any	   =     matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
			row -= 1

	return rank


if __name__ == "__main__":
				import doctest

				doctest.testmod()
