import sys import heapq from typing import List class Solution: def miniSpanningTree(self, n: int, m: int, cost: List[List[int]]) -> int: graph = [[] for _ in range(n + 1)] # 构建邻接表描述的图 for u, v, c in cost: graph[u].append((v, c)) graph[v].append((u, c)) pq = [] # 优先队列,用于存储边的信息 (c, n) heapq.heappush(pq, (0, 1)) # 先将源点 1 和权值 0 加入到优先队列中,根据权值排序,权值最小的边排在队首 visited = set() # 记录已访问的结点 total_cost = 0 while pq: c, n = heapq.heappop(pq) # 弹出权值最小的边 if n in visited: continue visited.add(n) # 若结点未被访问,添加至访问集合中 total_cost += c for neighbor, edge_cost in graph[n]: if neighbor not in visited:#将图中未被访问的边添加到队列中 heapq.heappush(pq, (edge_cost, neighbor)) return total_cost