



'''simple docstring'''



class _UpperCamelCase		:





				'''simple docstring'''





				def __init__(							self  :  int  ,       _lowerCAmelCase  :  int):







											'''simple docstring'''

											__lowercase       	=size
											__lowercase       	=[0] * size
											__lowercase       	=[0] * size

				@staticmethod
				def 				__lowerCamelCase     (							_lowerCAmelCase  :  int):







											'''simple docstring'''

											return index | (index + 1)

				@staticmethod
				def 				__lowerCamelCase     (							_lowerCAmelCase  :  int):







											'''simple docstring'''

											return (index & (index + 1)) - 1

				def 				__lowerCamelCase     (							self  :  str  ,       _lowerCAmelCase  :  int  ,       _lowerCAmelCase  :  int):







											'''simple docstring'''

											__lowercase       	=value
											while index < self.size:
																		__lowercase       	=self.get_prev(_lowerCAmelCase) + 1
																		if current_left_border == index:
																									__lowercase       	=value
																		else:
																									__lowercase       	=max(_lowerCAmelCase  ,       _lowerCAmelCase  ,       _lowerCAmelCase)
																		__lowercase       	=self.get_next(_lowerCAmelCase)

				def 				__lowerCamelCase     (							self  :  Union[str, Any]  ,       _lowerCAmelCase  :  int  ,       _lowerCAmelCase  :  int):







											'''simple docstring'''

											right -= 1  # Because of right is exclusive
											__lowercase       	=0
											while left <= right:
																		__lowercase       	=self.get_prev(_lowerCAmelCase)
																		if left <= current_left:
																									__lowercase       	=max(_lowerCAmelCase  ,       self.tree[right])
																									__lowercase       	=current_left
																		else:
																									__lowercase       	=max(_lowerCAmelCase  ,       self.arr[right])
																									right -= 1
											return result


if __name__ == "__main__":
		import doctest

		doctest.testmod()








'''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 _UpperCamelCase		(     unittest.TestCase		):





				'''simple docstring'''





				def 				__lowerCamelCase     (							self  :  List[Any]):







											'''simple docstring'''

											super().tearDown()
											gc.collect()

				def 				__lowerCamelCase     (							self  :  List[str]):







											'''simple docstring'''

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

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

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

											__lowercase       	=jax.random.PRNGKey(0)
											__lowercase       	=5_0

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

											# shard inputs and rng
											__lowercase       	=replicate(_lowerCAmelCase)
											__lowercase       	=jax.random.split(_lowerCAmelCase  ,       jax.device_count())
											__lowercase       	=shard(_lowerCAmelCase)
											__lowercase       	=shard(_lowerCAmelCase)
											__lowercase       	=shard(_lowerCAmelCase)

											__lowercase       	=pipeline(
											    _lowerCAmelCase  ,       _lowerCAmelCase  ,       _lowerCAmelCase  ,       _lowerCAmelCase  ,       _lowerCAmelCase  ,       _lowerCAmelCase  ,       jit=_lowerCAmelCase)

											__lowercase       	=output.images.reshape(_lowerCAmelCase  ,       5_1_2  ,       5_1_2  ,       3)

											__lowercase       	=images[0, 2_5_3:2_5_6, 2_5_3:2_5_6, -1]

											__lowercase       	=jnp.asarray(jax.device_get(image_slice.flatten()))
											__lowercase       	=jnp.array(
											    [0.361_1307, 0.3764_9736, 0.375_7408, 0.3821_3953, 0.3929_5167, 0.384_1631, 0.4155_4978, 0.413_7475, 0.421_7084])
											print(f"""output_slice: {output_slice}""")
											assert jnp.abs(output_slice - expected_slice).max() < 1e-2



