为下面代码注释# class Graph(): def __init__(self, vertices): self.V = vertices self.graph = [[0 for column in range(vertices)] for row in range(vertices)] def printSolution(self, dist): print("Vertex \t Distance from Source") for node in range(self.V): print(node, "\t\t", dist[node]) # def minDistance(self, dist, sptSet): # min = 1e7 # for v in range(self.V): if dist[v] < min and sptSet[v] == False: min = dist[v] min_index = v return min_index # def dijkstra(self, src): dist = [1e7] * self.V dist[src] = 0 sptSet = [False] * self.V for cout in range(self.V): u = self.minDistance(dist, sptSet) # sptSet[u] = True # # for v in range(self.V): if (self.graph[u][v] > 0 and sptSet[v] == False and dist[v] > dist[u] + self.graph[u][v]): dist[v] = dist[u] + self.graph[u][v] self.printSolution(dist) # g = Graph(9) g.graph = [[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] ] g.dijkstra(0) #

这是一个实现 Dijkstra 算法的 Python 类 Graph。Dijkstra 算法是用于找到带权图中单个源点到其他所有节点的最短路径的算法。在这个类中，构造函数 __init__() 接收一个参数 vertices，表示图中节点的总数，在构造函数中初始化了一个空的二维数组 graph 表示带权图。printSolution() 方法用于打印最短路径的结果，minDistance() 方法用于找到距离源点最近的未包含在最短路径中的节点，dijkstra() 方法是实现 Dijkstra 算法的核心代码。最后，通过创建 Graph 类的实例 g，并设置带权图的具体数值，然后调用 dijkstra() 方法来计算最短路径。