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