
from __future__ import annotations

from collections import deque
from collections.abc import Iterator
from dataclasses import dataclass





@dataclass
class 				UpperCAmelCase :




	'''simple docstring'''





	snake_case_          =	42
	snake_case_          =	42





class 				UpperCAmelCase :




	'''simple docstring'''





	def __init__(			self   :					Any				,A   :					int					):
					__A       =					[[] for _ in range(A					)]
					__A       =					size






	def __getitem__(			self   :					str				,A   :					int					):
					return iter(self._graph[vertex]					)






	@property
	def 							UpperCamelCase_    (			self   :					List[Any]					):
					return self._size






	def 							UpperCamelCase_    (			self   :					Union[str, Any]				,A   :					int				,A   :					int				,A   :					int					):
					if weight not in (0, 1):
									raise ValueError("Edge weight must be either 0 or 1."					)

					if to_vertex < 0 or to_vertex >= self.size:
									raise ValueError("Vertex indexes must be in [0; size)."					)

					self._graph[from_vertex].append(Edge(A				,A					)					)







	def 							UpperCamelCase_    (			self   :					List[Any]				,A   :					int				,A   :					int					):
					__A       =					deque([start_vertex]					)
					__A       =					[None] * self.size
					__A       =					0

					while queue:
									__A       =					queue.popleft()
									__A       =					distances[current_vertex]
									if current_distance is None:
													continue

									for edge in self[current_vertex]:
													__A       =					current_distance + edge.weight
													__A       =					distances[edge.destination_vertex]
													if (
													    isinstance(A				,A					)
													    and new_distance >= dest_vertex_distance
													):
																	continue
													__A       =					new_distance
													if edge.weight == 0:
																	queue.appendleft(edge.destination_vertex					)
													else:
																	queue.append(edge.destination_vertex					)

					if distances[finish_vertex] is None:
									raise ValueError("No path from start_vertex to finish_vertex."					)

					return distances[finish_vertex]


if __name__ == "__main__":
					import doctest

					doctest.testmod()








'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
      if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
      from .multicontrolnet import MultiControlNetModel
      from .pipeline_controlnet import StableDiffusionControlNetPipeline
      from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
      from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
      from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline






