Description
Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.
OJ’s undirected graph serialization:
Nodes are labeled uniquely.
We use # as a separator for each node, and , as a separator for node label and each neighbor of the node.
As an example, consider the serialized graph {0,1,2#1,2#2,2}.
The graph has a total of three nodes, and therefore contains three parts as separated by #.
- First node is labeled as 0. Connect node 0 to both nodes 1 and 2.
- Second node is labeled as 1. Connect node 1 to node 2.
- Third node is labeled as 2. Connect node 2 to node 2 (itself), thus forming a self-cycle.
Visually, the graph looks like the following:
1
/ \ / \ 0 --- 2
/ \ \_/
问题描述
复制一个无向图。图里的每一个节点包含一个标签还有相邻节点列表
在线评测的无向图序列化:
每个节点的标签唯一
使用’#’分隔每个节点, 使用’,’分隔节点标签以及相邻节点
举例来说, 考虑{0, 1, 2#1, 2 # 2, 2}
这个有向图总共有3个节点, 因此被’#’分隔后有3部分
- 第一个节点被标记为0.将其与1和2相连
- 第二个节点被标记为1.将其与2相连(注意没有0)
- 第三个节点被标记为2, 将其与2相连, 形成自环
有向图如下所示:
1
/ \ / \ 0 --- 2
/ \ \_/
问题分析
遍历节点, 创建新节点即可, 注意用Map保存已经遇到过的节点
解法
public class Solution {
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
HashMap<Integer,UndirectedGraphNode> map = new HashMap();
return dfs(node,map);
}
private UndirectedGraphNode dfs(UndirectedGraphNode node, HashMap<Integer,UndirectedGraphNode> map) {
if(node == null) return null;
if(map.containsKey(node.label)) return map.get(node.label);
UndirectedGraphNode clone = new UndirectedGraphNode(node.label);
map.put(node.label,clone);
for(int i = 0; i < node.neighbors.size(); i++) clone.neighbors.add(dfs(node.neighbors.get(i), map));
return clone;
}
}