



"""simple docstring"""

class SCREAMING_SNAKE_CASE__					:



						def __init__(self							):





													'''simple docstring'''

													__a		:		Tuple									=       {}



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													print(self.vertex							)
													for i in self.vertex:
																				print(_lowercase						,     """ -> """						,     """ -> """.join([str(_lowercase							) for j in self.vertex[i]]							)							)



						def     lowerCAmelCase__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													if from_vertex in self.vertex:
																				self.vertex[from_vertex].append(_lowercase							)
													else:
																				# else make a new vertex
																				__a		:		Optional[int]									=       [to_vertex]



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Any									=       [False] * len(self.vertex							)

													# call the recursive helper function
													for i in range(len(self.vertex							)							):
																				if not visited[i]:
																											self.dfs_recursive(_lowercase						,     _lowercase							)





						def     lowerCAmelCase__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													__a		:		Dict									=       True

													print(_lowercase						,     end=""" """							)

													# Recur for all the vertices that are adjacent to this node
													for i in self.vertex:
																				if not visited[i]:
																											self.dfs_recursive(_lowercase						,     _lowercase							)


if __name__ == "__main__":
	lowercase__			   =  Graph()
	g.add_edge(0, 1)
	g.add_edge(0, 2)
	g.add_edge(1, 2)
	g.add_edge(2, 0)
	g.add_edge(2, 3)
	g.add_edge(3, 3)

	g.print_graph()
	print("DFS:")
	g.dfs()

	# OUTPUT:
	# 0  ->  1 -> 2
	# 1  ->  2
	# 2  ->  0 -> 3
	# 3  ->  3
	# DFS:
	#  0 1 2 3






"""simple docstring"""

import torch

from diffusers import DiffusionPipeline




class SCREAMING_SNAKE_CASE__					(		__snake_case      ):



						def __init__(self						,     _lowercase						,     _lowercase							):





													'''simple docstring'''

													super().__init__()

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





						def __call__(self							):





													'''simple docstring'''

													__a		:		Dict									=       torch.randn(
													    (1, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)						,     )
													__a		:		Optional[Any]									=       1

													__a		:		List[str]									=       self.unet(_lowercase						,     _lowercase							).sample
													__a		:		Union[str, Any]									=       self.scheduler.step(_lowercase						,     _lowercase						,     _lowercase							).prev_sample

													__a		:		Optional[int]									=       scheduler_output - scheduler_output + torch.ones_like(_lowercase							)

													return result

