



import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


UpperCamelCase_      			=  logging.get_logger(__name__)







class 				a_    (						_snake_case							):
						UpperCamelCase__ :		Union[str, Any]										="speech-encoder-decoder"
						UpperCamelCase__ :		List[str]										=True

						def __init__(       self      :List[Any]  ,		**_lowercase      :str)						->   Dict:
												super().__init__(**_lowercase)
												if "encoder" not in kwargs or "decoder" not in kwargs:
																		raise ValueError(
																		    f"A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"
																		    f" `decoder` sub-configurations are passed, but only {kwargs}")

												UpperCAmelCase_					=	kwargs.pop('''encoder''')
												UpperCAmelCase_					=	encoder_config.pop('''model_type''')
												UpperCAmelCase_					=	kwargs.pop('''decoder''')
												UpperCAmelCase_					=	decoder_config.pop('''model_type''')

												UpperCAmelCase_					=	AutoConfig.for_model(_lowercase  ,		**_lowercase)
												UpperCAmelCase_					=	AutoConfig.for_model(_lowercase  ,		**_lowercase)
												UpperCAmelCase_					=	True

						@classmethod
						def       __a			(       cls      :Dict  ,		_lowercase      :PretrainedConfig  ,		_lowercase      :PretrainedConfig  ,		**_lowercase      :Union[str, Any])						->   PretrainedConfig:
												logger.info('''Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config''')
												UpperCAmelCase_					=	True
												UpperCAmelCase_					=	True

												return cls(encoder=encoder_config.to_dict()  ,		decoder=decoder_config.to_dict()  ,		**_lowercase)




						def       __a			(       self      :Tuple)						->   Dict:
												UpperCAmelCase_					=	copy.deepcopy(self.__dict__)
												UpperCAmelCase_					=	self.encoder.to_dict()
												UpperCAmelCase_					=	self.decoder.to_dict()
												UpperCAmelCase_					=	self.__class__.model_type
												return output










def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase      )			->			int:



						'''simple docstring'''






						print('''\nVertex Distance'''      )
						for i in range(__UpperCAmelCase      ):
												if dist[i] != float('''inf'''      ):
																		print(__UpperCAmelCase				,   '''\t'''				,   int(dist[i]      )				,   end='''\t'''      )
												else:
																		print(__UpperCAmelCase				,   '''\t'''				,   '''INF'''				,   end='''\t'''      )
												print()







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )			->			str:



						'''simple docstring'''






						UpperCAmelCase_					=	float('''inf'''      )
						UpperCAmelCase_					=	-1
						for i in range(__UpperCAmelCase      ):
												if (not vset[i]) and mdist[i] < min_val:
																		UpperCAmelCase_					=	i
																		UpperCAmelCase_					=	mdist[i]
						return min_ind







def 							A     (						__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )			->			Optional[Any]:



						'''simple docstring'''






						UpperCAmelCase_					=	[float('''inf'''      ) for _ in range(__UpperCAmelCase      )]
						UpperCAmelCase_					=	[False for _ in range(__UpperCAmelCase      )]
						UpperCAmelCase_					=	0.0

						for _ in range(v - 1      ):
												UpperCAmelCase_					=	min_dist(__UpperCAmelCase				,   __UpperCAmelCase				,   __UpperCAmelCase      )
												UpperCAmelCase_					=	True

												for i in range(__UpperCAmelCase      ):
																		if (
																		    (not vset[i])
																		    and graph[u][i] != float('''inf'''      )
																		    and mdist[u] + graph[u][i] < mdist[i]
																		):
																								UpperCAmelCase_					=	mdist[u] + graph[u][i]

						print_dist(__UpperCAmelCase				,   __UpperCAmelCase      )


if __name__ == "__main__":
							UpperCamelCase_      			=  int(input("Enter number of vertices: ").strip())
							UpperCamelCase_      			=  int(input("Enter number of edges: ").strip())

							UpperCamelCase_      			=  [[float("inf") for i in range(V)] for j in range(V)]

							for i in range(V):
														UpperCamelCase_      			=  0.0

							for i in range(E):
														print("\nEdge ", i + 1)
														UpperCamelCase_      			=  int(input("Enter source:").strip())
														UpperCamelCase_      			=  int(input("Enter destination:").strip())
														UpperCamelCase_      			=  float(input("Enter weight:").strip())
														UpperCamelCase_      			=  weight

							UpperCamelCase_      			=  int(input("\nEnter shortest path source:").strip())
							dijkstra(graph, V, gsrc)





