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
/ \
\_/
这题的重点是不要重复复制,所以我用map对每个节点做了映射。
/**
* Definition for undirected graph.
* struct UndirectedGraphNode {
* int label;
* vector<UndirectedGraphNode *> neighbors;
* UndirectedGraphNode(int x) : label(x) {};
* };
*/
class Solution {
public:
map<UndirectedGraphNode *, UndirectedGraphNode *> themap;
UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) {
if(node == NULL) return node;
themap.clear();
return cloneGraphInternal(node);
}
UndirectedGraphNode *cloneGraphInternal(UndirectedGraphNode *node) {
UndirectedGraphNode *ugn = new UndirectedGraphNode(node->label);
themap[node] = ugn;
for(int ii = 0; ii < node->neighbors.size(); ii ++) {
if(themap.count(node->neighbors[ii]) > 0) {
ugn->neighbors.push_back(themap[node->neighbors[ii]]);
}
else {
UndirectedGraphNode *ugn2 = cloneGraphInternal(node->neighbors[ii]);
themap[node->neighbors[ii]] = ugn2;
ugn->neighbors.push_back(themap[node->neighbors[ii]]);
}
}
return ugn;
}
};
本文介绍了一种高效的克隆无向图算法,通过使用哈希映射避免重复复制节点,确保每个节点仅被克隆一次。算法首先检查输入节点是否为空,然后利用递归方式遍历并复制所有相邻节点。

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