题目:
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 node0
to both nodes1
and2
. - Second node is labeled as
1
. Connect node1
to node2
. - Third node is labeled as
2
. Connect node2
to node2
(itself), thus forming a self-cycle.
Visually, the graph looks like the following:
1 / \ / \ 0 --- 2 / \ \_/
思路:
首先做一次BFS遍历,将所有结点创建出来。并且要保存在一个可以在短时间读取的结构中。map是个不错的结构并且每个结点label唯一,因此我们可以用label来作为索引。
第二次遍历的时候可以快速地找出结点并构造图的关系。
代码:
/**
* Definition for undirected graph.
* struct UndirectedGraphNode {
* int label;
* vector<UndirectedGraphNode *> neighbors;
* UndirectedGraphNode(int x) : label(x) {};
* };
*/
class Solution {
public:
UndirectedGraphNode *cloneGraph(UndirectedGraphNode *node) {
if(node==NULL)
{
return NULL;
}
map<int, UndirectedGraphNode*> nodes;
queue<UndirectedGraphNode*> q;
q.push(node);
while(!q.empty())
{
UndirectedGraphNode* tmp = q.front();
q.pop();
if(nodes.find(tmp->label)==nodes.end())
{
UndirectedGraphNode* new_node = new UndirectedGraphNode(tmp->label);
nodes.insert(pair<int, UndirectedGraphNode*>(new_node->label, new_node));
for(int i=0;i<tmp->neighbors.size();i++)
{
q.push(tmp->neighbors[i]);
}
}
}
q.push(node);
while(!q.empty())
{
UndirectedGraphNode* tmp = q.front();
q.pop();
UndirectedGraphNode* existingnode = nodes[tmp->label];
if(existingnode->neighbors.empty()&&!tmp->neighbors.empty())
{
for(int i=0;i<tmp->neighbors.size();i++)
{
existingnode->neighbors.push_back(nodes[tmp->neighbors[i]->label]);
q.push(tmp->neighbors[i]);
}
}
}
return nodes[node->label];
}
};