from __future__ import annotations
class 				a_ :






 '''simple docstring'''






 def __init__(			self					:  Any			,    lowercase__					:  int):







        '''simple docstring'''



        lowerCAmelCase__     	=					vertices
        lowerCAmelCase__     	=					[[0] * vertices for _ in range(lowercase__)]




 def 		__snake_case						(			self					:  Union[str, Any]			,    lowercase__					:  list[int]):







        '''simple docstring'''



        print('Vertex \t Distance from Source')
        for vertex in range(self.vertices):
               print(lowercase__			,    '\t\t'			,    distances_from_source[vertex])




 def 		__snake_case						(			self					:  Optional[Any]			,    lowercase__					:  list[int]			,    lowercase__					:  list[bool]):







        '''simple docstring'''



        lowerCAmelCase__     	=					1e7
        lowerCAmelCase__     	=					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:
                      lowerCAmelCase__     	=					distances_from_source[vertex]
                      lowerCAmelCase__     	=					vertex
        return min_index




 def 		__snake_case						(			self					:  List[str]			,    lowercase__					:  int):







        '''simple docstring'''



        lowerCAmelCase__     	=					[int(1e7)] * self.vertices  # distances from the source
        lowerCAmelCase__     	=					0
        lowerCAmelCase__     	=					[False] * self.vertices

        for _ in range(self.vertices):
               lowerCAmelCase__     	=					self.minimum_distance(lowercase__			,    lowercase__)
               lowerCAmelCase__     	=					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]
                      ):
                             lowerCAmelCase__     	=					distances[u] + self.graph[u][v]

        self.print_solution(lowercase__)


if __name__ == "__main__":
    lowerCAmelCase__							= Graph(9)
    lowerCAmelCase__							= [
        [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)




'''simple docstring'''






import warnings

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


__UpperCAmelCase    				=							logging.get_logger(__name__)




class 		a__				(							a__  ):





							'''simple docstring'''






							def __init__(		self					,    *lowerCamelCase_					,    **lowerCamelCase_   )       ->							None:
														warnings.warn(
														    '''The class MobileNetV2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
														    ''' Please use MobileNetV2ImageProcessor instead.'''					,    lowerCamelCase_					,    )
														super().__init__(*lowerCamelCase_					,    **lowerCamelCase_   )