
'''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 			lowerCAmelCase__       (  unittest.TestCase					):






     @property
     def      _snake_case   (       self		):


           """simple docstring"""





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






     @property
     def      _snake_case   (       self		):


           """simple docstring"""





           lowercase_     :					Optional[Any]													=	ort.SessionOptions()
           lowercase_     :					Optional[int]													=	False
           return options






     def      _snake_case   (       self		):


           """simple docstring"""





           lowercase_     :					Dict													=	load_image(
               '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'''
               '''/in_paint/overture-creations-5sI6fQgYIuo.png'''		)
           lowercase_     :					int													=	load_image(
               '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main'''
               '''/in_paint/overture-creations-5sI6fQgYIuo_mask.png'''		)
           lowercase_     :					Optional[Any]													=	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
           lowercase_     :					Any													=	OnnxStableDiffusionInpaintPipelineLegacy.from_pretrained(
               '''CompVis/stable-diffusion-v1-4'''    ,							revision='''onnx'''    ,							safety_checker=__SCREAMING_SNAKE_CASE    ,							feature_extractor=__SCREAMING_SNAKE_CASE    ,							provider=self.gpu_provider    ,							sess_options=self.gpu_options    ,							)
           pipe.set_progress_bar_config(disable=__SCREAMING_SNAKE_CASE		)

           lowercase_     :					Any													=	'''A red cat sitting on a park bench'''

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

           lowercase_     :					Any													=	output.images[0]

           assert image.shape == (5_12, 5_12, 3)
           assert np.abs(expected_image - image		).max() < 1E-2





'''simple docstring'''







from __future__ import annotations

from typing import Any






class 			lowerCAmelCase__       :






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					str													=	num_of_nodes
											lowercase_     :					list[list[int]]													=	[]
											lowercase_     :					dict[int, int]													=	{}






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if self.m_component[u_node] != u_node:
																	for k in self.m_component:
																							lowercase_     :					Optional[int]													=	self.find_component(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if component_size[u_node] <= component_size[v_node]:
																	lowercase_     :					Any													=	v_node
																	component_size[v_node] += component_size[u_node]
																	self.set_component(__SCREAMING_SNAKE_CASE		)

											elif component_size[u_node] >= component_size[v_node]:
																	lowercase_     :					int													=	self.find_component(__SCREAMING_SNAKE_CASE		)
																	component_size[u_node] += component_size[v_node]
																	self.set_component(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Dict													=	[]
											lowercase_     :					Optional[Any]													=	0

											lowercase_     :					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		)

											lowercase_     :					Union[str, Any]													=	self.m_num_of_nodes

											while num_of_components > 1:
																	for edge in self.m_edges:
																							lowercase_						,			lowercase_						,			lowercase_     :					List[Any]													=	edge

																							lowercase_     :					Dict													=	self.m_component[u]
																							lowercase_     :					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
																																			):
																																									lowercase_     :					Union[str, Any]													=	[u, v, w]

																	for edge in minimum_weight_edge:
																							if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):
																													lowercase_						,			lowercase_						,			lowercase_     :					str													=	edge

																													lowercase_     :					Tuple													=	self.m_component[u]
																													lowercase_     :					Union[str, Any]													=	self.m_component[v]

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

																	lowercase_     :					str													=	[-1] * self.m_num_of_nodes
											print(F'''The total weight of the minimal spanning tree is: {mst_weight}'''		)







def  snake_case_		(    ):



						"""simple docstring"""







if __name__ == "__main__":
							import doctest

							doctest.testmod()



