
from __future__ import annotations







class 	lowerCamelCase						:





     def __init__(self :       Any							,       _A :       int  )		->		None:
         snake_case						=   vertices
         snake_case						=   [[0] * vertices for _ in range(_A  )]





     def 						UpperCAmelCase(self :       Union[str, Any]							,       _A :       list[int]  )		->		None:
         print("Vertex \t Distance from Source"  )
         for vertex in range(self.vertices  ):
             print(_A							,       "\t\t"							,       distances_from_source[vertex]  )





     def 						UpperCAmelCase(self :       int							,       _A :       list[int]							,       _A :       list[bool]  )		->		int:
         snake_case						=   1E7
         snake_case						=   0

         # Search not nearest vertex not in the shortest path tree
         for vertex in range(self.vertices  ):
             if distances_from_source[vertex] < minimum and visited[vertex] is False:
                 snake_case						=   distances_from_source[vertex]
                 snake_case						=   vertex
         return min_index





     def 						UpperCAmelCase(self :       Optional[int]							,       _A :       int  )		->		None:
         snake_case						=   [int(1E7  )] * self.vertices  # distances from the source
         snake_case						=   0
         snake_case						=   [False] * self.vertices

         for _ in range(self.vertices  ):
             snake_case						=   self.minimum_distance(_A							,       _A  )
             snake_case						=   True

             # Update dist value of the adjacent vertices
             # of the picked vertex only if the current
             # distance is greater than new distance and
             # the vertex in not in the shortest path tree
             for v in range(self.vertices  ):
                 if (
                     self.graph[u][v] > 0
                     and visited[v] is False
                     and distances[v] > distances[u] + self.graph[u][v]
                 ):
                     snake_case						=   distances[u] + self.graph[u][v]

         self.print_solution(_A  )


if __name__ == "__main__":
   _A       =					Graph(9)
   _A       =					[
       [0, 4, 0, 0, 0, 0, 0, 8, 0],
       [4, 0, 8, 0, 0, 0, 0, 11, 0],
       [0, 8, 0, 7, 0, 4, 0, 0, 2],
       [0, 0, 7, 0, 9, 14, 0, 0, 0],
       [0, 0, 0, 9, 0, 10, 0, 0, 0],
       [0, 0, 4, 14, 10, 0, 2, 0, 0],
       [0, 0, 0, 0, 0, 2, 0, 1, 6],
       [8, 11, 0, 0, 0, 0, 1, 0, 7],
       [0, 0, 2, 0, 0, 0, 6, 7, 0],
   ]
   graph.dijkstra(0)



import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


_A       =					logging.get_logger(__name__)







class 	lowerCamelCase						(    A_    ):





     def __init__(self :       Any							,       *_A :       Optional[Any]							,       **_A :       List[Any]  )		->		None:
         warnings.warn(
             "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
             " use LevitImageProcessor instead."							,       _A							,       )
         super().__init__(*_A							,       **_A  )

