


def 				UpperCamelCase      (			__magic_name__  :							Tuple					,					__magic_name__  :							Dict  )     ->						Union[str, Any]:
		"""simple docstring"""




		print("""\nVertex Distance"""  )
		for i in range(__magic_name__  ):
				if dist[i] != float("""inf"""  ):
						print(__magic_name__					,					"""\t"""					,					int(dist[i]  )					,					end="""\t"""  )
				else:
						print(__magic_name__					,					"""\t"""					,					"""INF"""					,					end="""\t"""  )
				print()






def 				UpperCamelCase      (			__magic_name__  :							List[str]					,					__magic_name__  :							Union[str, Any]					,					__magic_name__  :							Optional[int]  )     ->						str:
		"""simple docstring"""




		lowercase__      =	float("""inf"""  )
		lowercase__      =	-1
		for i in range(__magic_name__  ):
				if (not vset[i]) and mdist[i] < min_val:
						lowercase__      =	i
						lowercase__      =	mdist[i]
		return min_ind






def 				UpperCamelCase      (			__magic_name__  :							int					,					__magic_name__  :							Union[str, Any]					,					__magic_name__  :							Union[str, Any]  )     ->						Dict:
		"""simple docstring"""




		lowercase__      =	[float("""inf"""  ) for _ in range(__magic_name__  )]
		lowercase__      =	[False for _ in range(__magic_name__  )]
		lowercase__      =	0.0

		for _ in range(v - 1  ):
				lowercase__      =	min_dist(__magic_name__					,					__magic_name__					,					__magic_name__  )
				lowercase__      =	True

				for i in range(__magic_name__  ):
						if (
						    (not vset[i])
						    and graph[u][i] != float("""inf"""  )
						    and mdist[u] + graph[u][i] < mdist[i]
						):
								lowercase__      =	mdist[u] + graph[u][i]

		print_dist(__magic_name__					,					__magic_name__  )


if __name__ == "__main__":
	A :	int												=     int(input('Enter number of vertices: ').strip())
	A :	Optional[int]												=     int(input('Enter number of edges: ').strip())

	A :	Dict												=     [[float('inf') for i in range(V)] for j in range(V)]

	for i in range(V):
		A :	Any												=     0.0

	for i in range(E):
		print('\nEdge ', i + 1)
		A :	List[Any]												=     int(input('Enter source:').strip())
		A :	Optional[int]												=     int(input('Enter destination:').strip())
		A :	Tuple												=     float(input('Enter weight:').strip())
		A :	Optional[int]												=     weight

	A :	str												=     int(input('\nEnter shortest path source:').strip())
	dijkstra(graph, V, gsrc)





import warnings

from ...utils import logging
from .image_processing_mobilenet_va import MobileNetVaImageProcessor


A :	Optional[Any]												=     logging.get_logger(__name__)



class 							A					( UpperCAmelCase__							):
					'''simple docstring'''






					def __init__(self					:		Optional[int]   ,      *_UpperCAmelCase					:		Union[str, Any]   ,      **_UpperCAmelCase					:		Any	)		->     None:




							"""simple docstring"""


							warnings.warn(
							    """The class MobileNetV1FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
							    """ Please use MobileNetV1ImageProcessor instead."""   ,      _UpperCAmelCase   ,      )
							super().__init__(*_UpperCAmelCase   ,      **_UpperCAmelCase	)

