hello-algo/codes/python/chapter_graph/graph_bfs.py
2023-03-03 03:07:22 +08:00

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"""
File: graph_bfs.py
Created Time: 2023-02-23
Author: Krahets (krahets@163.com)
"""
import sys, os.path as osp
sys.path.append(osp.dirname(osp.dirname(osp.abspath(__file__))))
from modules import *
from graph_adjacency_list import GraphAdjList
def graph_bfs(graph: GraphAdjList, start_vet: Vertex) -> List[Vertex]:
""" 广度优先遍历 BFS """
# 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([start_vet])
# 队列用于实现 BFS
que = collections.deque([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
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:
continue # 跳过已被访问过的顶点
que.append(adj_vet) # 只入队未访问的顶点
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__":
"""初始化无向图"""
v = vals_to_vets([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
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()
"""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")
print(vets_to_vals(res))