hello-algo/codes/python/chapter_graph/graph_bfs.py

64 lines
1.8 KiB
Python
Raw Normal View History

"""
File: graph_bfs.py
Created Time: 2023-02-23
Author: Krahets (krahets@163.com)
"""
import sys, os.path as osp
2023-04-09 05:05:35 +08:00
sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
2023-03-03 03:07:22 +08:00
from modules import *
from collections import deque
from graph_adjacency_list import GraphAdjList
2023-04-09 05:05:35 +08:00
def graph_bfs(graph: GraphAdjList, start_vet: Vertex) -> list[Vertex]:
2023-04-09 05:05:35 +08:00
"""广度优先遍历 BFS"""
2023-03-03 03:07:22 +08:00
# 使用邻接表来表示图,以便获取指定顶点的所有邻接顶点
# 顶点遍历序列
res = []
# 哈希表,用于记录已被访问过的顶点
visited = set[Vertex]([start_vet])
# 队列用于实现 BFS
que = deque[Vertex]([start_vet])
# 以顶点 vet 为起点,循环直至访问完所有顶点
while len(que) > 0:
vet = que.popleft() # 队首顶点出队
2023-04-09 05:05:35 +08:00
res.append(vet) # 记录访问顶点
# 遍历该顶点的所有邻接顶点
for adj_vet in graph.adj_list[vet]:
if adj_vet in visited:
2023-04-09 05:05:35 +08:00
continue # 跳过已被访问过的顶点
que.append(adj_vet) # 只入队未访问的顶点
2023-04-09 05:05:35 +08:00
visited.add(adj_vet) # 标记该顶点已被访问
# 返回顶点遍历序列
return res
"""Driver Code"""
if __name__ == "__main__":
2023-04-09 05:05:35 +08:00
# 初始化无向图
v = vals_to_vets([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
2023-04-09 05:05:35 +08:00
edges = [
[v[0], v[1]],
[v[0], v[3]],
[v[1], v[2]],
[v[1], v[4]],
[v[2], v[5]],
[v[3], v[4]],
[v[3], v[6]],
[v[4], v[5]],
[v[4], v[7]],
[v[5], v[8]],
[v[6], v[7]],
[v[7], v[8]],
]
graph = GraphAdjList(edges)
print("\n初始化后,图为")
graph.print()
2023-04-09 05:05:35 +08:00
# 广度优先遍历 BFS
res = graph_bfs(graph, v[0])
print("\n广度优先遍历BFS顶点序列为")
2023-03-03 03:07:22 +08:00
print(vets_to_vals(res))