

'''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						):



			'''simple docstring'''






			def lowercase__						(				self	:						Dict			)      ->		Any:





									'''simple docstring'''
									# clean up the VRAM after each test
									super().tearDown()
									gc.collect()



			def lowercase__						(				self	:						List[Any]			)      ->		Tuple:





									'''simple docstring'''
									A__					:       str     =load_image(
									    """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"""
									    """/sd2-inpaint/init_image.png"""			)
									A__					:       Optional[int]     =load_image(
									    """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png"""			)

									A__					:       int     ="""xvjiarui/stable-diffusion-2-inpainting"""
									A__   ,						A__					:       Tuple     =FlaxStableDiffusionInpaintPipeline.from_pretrained(lowerCAmelCase_		,      safety_checker=lowerCAmelCase_			)

									A__					:       Union[str, Any]     ="""Face of a yellow cat, high resolution, sitting on a park bench"""

									A__					:       List[str]     =jax.random.PRNGKey(0			)
									A__					:       Any     =50

									A__					:       Optional[Any]     =jax.device_count()
									A__					:       List[Any]     =num_samples * [prompt]
									A__					:       str     =num_samples * [init_image]
									A__					:       int     =num_samples * [mask_image]
									A__   ,						A__   ,						A__					:       List[str]     =pipeline.prepare_inputs(lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_			)

									# shard inputs and rng
									A__					:       Dict     =replicate(lowerCAmelCase_			)
									A__					:       List[Any]     =jax.random.split(lowerCAmelCase_		,      jax.device_count()			)
									A__					:       str     =shard(lowerCAmelCase_			)
									A__					:       int     =shard(lowerCAmelCase_			)
									A__					:       Dict     =shard(lowerCAmelCase_			)

									A__					:       List[Any]     =pipeline(
									    lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_		,      jit=lowerCAmelCase_			)

									A__					:       Optional[Any]     =output.images.reshape(lowerCAmelCase_		,      5_12		,      5_12		,      3			)

									A__					:       Dict     =images[0, 2_53:2_56, 2_53:2_56, -1]

									A__					:       Optional[int]     =jnp.asarray(jax.device_get(image_slice.flatten()			)			)
									A__					:       Optional[int]     =jnp.array(
									    [0.3611307, 0.37649736, 0.3757408, 0.38213953, 0.39295167, 0.3841631, 0.41554978, 0.4137475, 0.4217084]			)
									print(f"output_slice: {output_slice}"			)
									assert jnp.abs(output_slice - expected_slice			).max() < 1e-2




'''simple docstring'''



from __future__ import annotations

from typing import Any



class lowerCamelCase			:



			'''simple docstring'''






			def __init__(				self	:						List[str]		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''
									A__					:       Any     =num_of_nodes
									A__					:       list[list[int]]     =[]
									A__					:       dict[int, int]     ={}


			def lowercase__						(				self	:						Optional[Any]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''
									self.m_edges.append([u_node, v_node, weight]			)


			def lowercase__						(				self	:						int		,      lowerCAmelCase_	:						int			)      ->		int:





									'''simple docstring'''

									if self.m_component[u_node] == u_node:
															return u_node
									return self.find_component(self.m_component[u_node]			)


			def lowercase__						(				self	:						Optional[int]		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''

									if self.m_component[u_node] != u_node:
															for k in self.m_component:
																					A__					:       str     =self.find_component(lowerCAmelCase_			)


			def lowercase__						(				self	:						int		,      lowerCAmelCase_	:						list[int]		,      lowerCAmelCase_	:						int		,      lowerCAmelCase_	:						int			)      ->		None:





									'''simple docstring'''

									if component_size[u_node] <= component_size[v_node]:
															A__					:       int     =v_node
															component_size[v_node] += component_size[u_node]
															self.set_component(lowerCAmelCase_			)

									elif component_size[u_node] >= component_size[v_node]:
															A__					:       List[str]     =self.find_component(lowerCAmelCase_			)
															component_size[u_node] += component_size[v_node]
															self.set_component(lowerCAmelCase_			)



			def lowercase__						(				self	:						str			)      ->		None:





									'''simple docstring'''
									A__					:       Union[str, Any]     =[]
									A__					:       List[str]     =0

									A__					:       list[Any]     =[-1] * self.m_num_of_nodes

									# A list of components (initialized to all of the nodes)
									for node in range(self.m_num_of_nodes			):
															self.m_component.update({node: node}			)
															component_size.append(1			)

									A__					:       List[str]     =self.m_num_of_nodes

									while num_of_components > 1:
															for edge in self.m_edges:
																					A__   ,						A__   ,						A__					:       Any     =edge

																					A__					:       Tuple     =self.m_component[u]
																					A__					:       Optional[Any]     =self.m_component[v]

																					if u_component != v_component:

																											for component in (u_component, v_component):
																																	if (
																																	    minimum_weight_edge[component] == -1
																																	    or minimum_weight_edge[component][2] > w
																																	):
																																							A__					:       Optional[int]     =[u, v, w]

															for edge in minimum_weight_edge:
																					if isinstance(lowerCAmelCase_		,      lowerCAmelCase_			):
																											A__   ,						A__   ,						A__					:       Tuple     =edge

																											A__					:       Any     =self.m_component[u]
																											A__					:       Optional[Any]     =self.m_component[v]

																											if u_component != v_component:
																																	mst_weight += w
																																	self.union(lowerCAmelCase_		,      lowerCAmelCase_		,      lowerCAmelCase_			)
																																	print(f"Added edge [{u} - {v}]\nAdded weight: {w}\n"			)
																																	num_of_components -= 1

															A__					:       int     =[-1] * self.m_num_of_nodes
									print(f"The total weight of the minimal spanning tree is: {mst_weight}"			)


def 						__lowerCamelCase	(       )	->							None:






						"""simple docstring"""







if __name__ == "__main__":
		import doctest

		doctest.testmod()

