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 node0to both nodes1and2. - Second node is labeled as
1. Connect node1to node2. - Third node is labeled as
2. Connect node2to node2(itself), thus forming a self-cycle.
Visually, the graph looks like the following:
1
/ \
/ \
0 --- 2
/ \
\_/
深拷贝一个图,图可能有自环。
图中顶点的编号是unique的,利用这一点,可以在递归调用中识别已经copy的节点。
HashMap<UndirectedGraphNode, Boolean> hashmap=new HashMap<>();
HashMap<Integer, UndirectedGraphNode> newhashmap=new HashMap<>();
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node)
{
if(node==null)
return node;
hashmap.put(node, true);
UndirectedGraphNode newnode=new UndirectedGraphNode(node.label);
newhashmap.put(newnode.label,newnode);
for(UndirectedGraphNode tn : node.neighbors)
{
if(!hashmap.containsKey(tn))
{
hashmap.put(tn, true);
UndirectedGraphNode temp=cloneGraph(tn);
newnode.neighbors.add(temp);
}
else
{
int lable=tn.label;
newnode.neighbors.add(newhashmap.get(lable));
}
}
return newnode;
}
本文介绍了一种使用递归和哈希映射实现无向图的深拷贝方法,确保了图中每个节点及其邻居被正确复制,即使存在自环也能妥善处理。

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