



"""simple docstring"""






import heapq as hq
import math
from collections.abc import Iterator



class      A__  :




	'''simple docstring'''





	def __init__(	self:						List[str]			,     _SCREAMING_SNAKE_CASE:						List[str])							->			Optional[Any]:

				"""simple docstring"""

				__lowerCAmelCase :    Tuple				=			str(id_)
				__lowerCAmelCase :    Any				=			None
				__lowerCAmelCase :    Optional[Any]				=			None
				__lowerCAmelCase :    Optional[int]				=			[]
				__lowerCAmelCase :    Any				=			{}  # {vertex:distance}

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

				"""simple docstring"""

				return self.key < other.key

	def __repr__(	self:						Union[str, Any])							->			Optional[Any]:

				"""simple docstring"""

				return self.id

	def 				_SCREAMING_SNAKE_CASE  (	self:						str			,     _SCREAMING_SNAKE_CASE:						Tuple)							->			Optional[Any]:

				"""simple docstring"""

				self.neighbors.append(__a)







	def 				_SCREAMING_SNAKE_CASE  (	self:						Tuple			,     _SCREAMING_SNAKE_CASE:						Tuple			,     _SCREAMING_SNAKE_CASE:						Tuple)							->			Dict:

				"""simple docstring"""

				__lowerCAmelCase :    List[str]				=			weight






def      _lowercase							(    __snake_case   ,__snake_case   ,__snake_case   ,__snake_case      )		->  Any:
			graph[a - 1].add_neighbor(graph[b - 1]      )
			graph[b - 1].add_neighbor(graph[a - 1]      )
			# add the edges:
			graph[a - 1].add_edge(graph[b - 1]   ,UpperCamelCase__      )
			graph[b - 1].add_edge(graph[a - 1]   ,UpperCamelCase__      )


def      _lowercase							(    __snake_case   ,__snake_case      )		->  Dict:
			__lowerCAmelCase :    Any				=			[]
			for u in graph:
						__lowerCAmelCase :    List[Any]				=			math.inf
						__lowerCAmelCase :    int				=			None
			__lowerCAmelCase :    List[str]				=			0
			__lowerCAmelCase :    Tuple				=			graph[:]
			while q:
						__lowerCAmelCase :    Optional[int]				=			min(UpperCamelCase__      )
						q.remove(UpperCamelCase__      )
						for v in u.neighbors:
									if (v in q) and (u.edges[v.id] < v.key):
												__lowerCAmelCase :    Tuple				=			u
												__lowerCAmelCase :    List[Any]				=			u.edges[v.id]
			for i in range(1   ,len(UpperCamelCase__      )      ):
						a.append((int(graph[i].id      ) + 1, int(graph[i].pi.id      ) + 1)      )
			return a


def      _lowercase							(    __snake_case   ,__snake_case      )		->  Union[str, Any]:
			for u in graph:
						__lowerCAmelCase :    Union[str, Any]				=			math.inf
						__lowerCAmelCase :    int				=			None
			__lowerCAmelCase :    List[Any]				=			0

			__lowerCAmelCase :    Optional[int]				=			list(UpperCamelCase__      )
			hq.heapify(UpperCamelCase__      )

			while h:
						__lowerCAmelCase :    Dict				=			hq.heappop(UpperCamelCase__      )
						for v in u.neighbors:
									if (v in h) and (u.edges[v.id] < v.key):
												__lowerCAmelCase :    Any				=			u
												__lowerCAmelCase :    List[Any]				=			u.edges[v.id]
												hq.heapify(UpperCamelCase__      )

			for i in range(1   ,len(UpperCamelCase__      )      ):
						yield (int(graph[i].id      ) + 1, int(graph[i].pi.id      ) + 1)


def      _lowercase							(    )		->  Tuple:
			pass


if __name__ == "__main__":
	import doctest

	doctest.testmod()
'''simple docstring'''


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


try:
					if not (is_transformers_available() and is_torch_available()):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import (
					    ImageTextPipelineOutput,
					    UniDiffuserPipeline,
					)
else:
					from .modeling_text_decoder import UniDiffuserTextDecoder
					from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
					from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline
