





class 	UpperCamelCase_							:


							def __init__(				self     :Tuple		) -> Union[str, Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   0
									SCREAMING_SNAKE_CASE__								=   0
									SCREAMING_SNAKE_CASE__								=   {}


							def   _snake_case	(				self     :Dict				,					__A     :Tuple		) -> Tuple:



									"""simple docstring"""



									if vertex not in self.adjacency:
											SCREAMING_SNAKE_CASE__								=   {}
											self.num_vertices += 1


							def   _snake_case	(				self     :Optional[int]				,					__A     :Any				,					__A     :Optional[int]				,					__A     :List[Any]		) -> Optional[int]:



									"""simple docstring"""



									self.add_vertex(__A		)
									self.add_vertex(__A		)

									if head == tail:
											return

									SCREAMING_SNAKE_CASE__								=   weight
									SCREAMING_SNAKE_CASE__								=   weight


							def   _snake_case	(				self     :int		) -> List[Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   self.get_edges()
									for edge in edges:
											SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   edge
											edges.remove((tail, head, weight)		)
									for i in range(len(__A		)		):
											SCREAMING_SNAKE_CASE__								=   list(edges[i]		)

									edges.sort(key=lambda __A		: e[2]		)
									for i in range(len(__A		) - 1		):
											if edges[i][2] >= edges[i + 1][2]:
													SCREAMING_SNAKE_CASE__								=   edges[i][2] + 1
									for edge in edges:
											SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   edge
											SCREAMING_SNAKE_CASE__								=   weight
											SCREAMING_SNAKE_CASE__								=   weight


							def __str__(				self     :str		) -> List[Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   """"""
									for tail in self.adjacency:
											for head in self.adjacency[tail]:
													SCREAMING_SNAKE_CASE__								=   self.adjacency[head][tail]
													string += f'''{head} -> {tail} == {weight}\n'''
									return string.rstrip("""\n"""		)


							def   _snake_case	(				self     :Union[str, Any]		) -> Dict:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   []
									for tail in self.adjacency:
											for head in self.adjacency[tail]:
													output.append((tail, head, self.adjacency[head][tail])		)
									return output


							def   _snake_case	(				self     :Any		) -> Optional[Any]:



									"""simple docstring"""



									return self.adjacency.keys()


							@staticmethod
							def   _snake_case	(				__A     :List[Any]=None				,					__A     :List[Any]=None		) -> int:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   Graph()
									if vertices is None:
											SCREAMING_SNAKE_CASE__								=   []
									if edges is None:
											SCREAMING_SNAKE_CASE__								=   []
									for vertex in vertices:
											g.add_vertex(__A		)
									for edge in edges:
											g.add_edge(*__A		)
									return g




							class 	UpperCamelCase_							:


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



																"""simple docstring"""



																SCREAMING_SNAKE_CASE__								=   {}
																SCREAMING_SNAKE_CASE__								=   {}


														def __len__(				self     :Union[str, Any]		) -> List[str]:



																"""simple docstring"""



																return len(self.parent		)


														def   _snake_case	(				self     :Optional[int]				,					__A     :Any		) -> Any:



																"""simple docstring"""



																if item in self.parent:
																		return self.find(__A		)

																SCREAMING_SNAKE_CASE__								=   item
																SCREAMING_SNAKE_CASE__								=   0
																return item


														def   _snake_case	(				self     :Any				,					__A     :Dict		) -> Optional[int]:



																"""simple docstring"""



																if item not in self.parent:
																		return self.make_set(__A		)
																if item != self.parent[item]:
																		SCREAMING_SNAKE_CASE__								=   self.find(self.parent[item]		)
																return self.parent[item]


														def   _snake_case	(				self     :Optional[Any]				,					__A     :List[Any]				,					__A     :str		) -> List[Any]:



																"""simple docstring"""



																SCREAMING_SNAKE_CASE__								=   self.find(__A		)
																SCREAMING_SNAKE_CASE__								=   self.find(__A		)

																if roota == roota:
																		return roota

																if self.rank[roota] > self.rank[roota]:
																		SCREAMING_SNAKE_CASE__								=   roota
																		return roota

																if self.rank[roota] < self.rank[roota]:
																		SCREAMING_SNAKE_CASE__								=   roota
																		return roota

																if self.rank[roota] == self.rank[roota]:
																		self.rank[roota] += 1
																		SCREAMING_SNAKE_CASE__								=   roota
																		return roota
																return None



							@staticmethod
							def   _snake_case	(				__A     :List[Any]		) -> Optional[Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=   graph.num_vertices

									SCREAMING_SNAKE_CASE__								=   Graph.UnionFind()
									SCREAMING_SNAKE_CASE__								=   []
									while num_components > 1:
											SCREAMING_SNAKE_CASE__								=   {}
											for vertex in graph.get_vertices():
													SCREAMING_SNAKE_CASE__								=   -1

											SCREAMING_SNAKE_CASE__								=   graph.get_edges()
											for edge in edges:
													SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   edge
													edges.remove((tail, head, weight)		)
											for edge in edges:
													SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   edge
													SCREAMING_SNAKE_CASE__								=   union_find.find(__A		)
													SCREAMING_SNAKE_CASE__								=   union_find.find(__A		)
													if seta != seta:
															if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																	SCREAMING_SNAKE_CASE__								=   [head, tail, weight]

															if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
																	SCREAMING_SNAKE_CASE__								=   [head, tail, weight]
											for vertex in cheap_edge:
													if cheap_edge[vertex] != -1:
															SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__						,    SCREAMING_SNAKE_CASE__								=   cheap_edge[vertex]
															if union_find.find(__A		) != union_find.find(__A		):
																	union_find.union(__A				,					__A		)
																	mst_edges.append(cheap_edge[vertex]		)
																	SCREAMING_SNAKE_CASE__								=   num_components - 1
									SCREAMING_SNAKE_CASE__								=   Graph.build(edges=__A		)
									return mst



"""simple docstring"""






from typing import List, Optional, Tuple, Union

import torch

from ...schedulers import DDIMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput






class      A(  lowerCamelCase__		):

		"""simple docstring"""





		def __init__( self					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   )      ->	Optional[Any]:

					"""simple docstring"""



					super().__init__()

					# make sure scheduler can always be converted to DDIM
					_UpperCamelCase					:int					     =	DDIMScheduler.from_config(scheduler.config   )

					self.register_modules(unet=SCREAMING_SNAKE_CASE__					,				scheduler=SCREAMING_SNAKE_CASE__   )





		@torch.no_grad()
		def __call__( self					,				SCREAMING_SNAKE_CASE__ = 1					,				SCREAMING_SNAKE_CASE__ = None					,				SCREAMING_SNAKE_CASE__ = 0.0					,				SCREAMING_SNAKE_CASE__ = 50					,				SCREAMING_SNAKE_CASE__ = None					,				SCREAMING_SNAKE_CASE__ = "pil"					,				SCREAMING_SNAKE_CASE__ = True					,				)      ->	Union[ImagePipelineOutput, Tuple]:

					"""simple docstring"""



					if isinstance(self.unet.config.sample_size					,				SCREAMING_SNAKE_CASE__   ):
								_UpperCamelCase					:Optional[int]					     =	(
								    batch_size,
								    self.unet.config.in_channels,
								    self.unet.config.sample_size,
								    self.unet.config.sample_size,
								)
					else:
								_UpperCamelCase					:Tuple					     =	(batch_size, self.unet.config.in_channels, *self.unet.config.sample_size)

					if isinstance(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   ) and len(SCREAMING_SNAKE_CASE__   ) != batch_size:
								raise ValueError(
								    f"You have passed a list of generators of length {len(SCREAMING_SNAKE_CASE__   )}, but requested an effective batch"
								    f" size of {batch_size}. Make sure the batch size matches the length of the generators."   )

					_UpperCamelCase					:Optional[int]					     =	randn_tensor(SCREAMING_SNAKE_CASE__					,				generator=SCREAMING_SNAKE_CASE__					,				device=self.device					,				dtype=self.unet.dtype   )

					# set step values
					self.scheduler.set_timesteps(SCREAMING_SNAKE_CASE__   )

					for t in self.progress_bar(self.scheduler.timesteps   ):
								# 1. predict noise model_output
								_UpperCamelCase					:List[str]					     =	self.unet(SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__   ).sample

								# 2. predict previous mean of image x_t-1 and add variance depending on eta
								# eta corresponds to η in paper and should be between [0, 1]
								# do x_t -> x_t-1
								_UpperCamelCase					:Optional[Any]					     =	self.scheduler.step(
								    SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				SCREAMING_SNAKE_CASE__					,				eta=SCREAMING_SNAKE_CASE__					,				use_clipped_model_output=SCREAMING_SNAKE_CASE__					,				generator=SCREAMING_SNAKE_CASE__   ).prev_sample

					_UpperCamelCase					:str					     =	(image / 2 + 0.5).clamp(0					,				1   )
					_UpperCamelCase					:int					     =	image.cpu().permute(0					,				2					,				3					,				1   ).numpy()
					if output_type == "pil":
								_UpperCamelCase					:Union[str, Any]					     =	self.numpy_to_pil(SCREAMING_SNAKE_CASE__   )

					if not return_dict:
								return (image,)

					return ImagePipelineOutput(images=SCREAMING_SNAKE_CASE__   )

