Clone Graph [LeetCode]
Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.
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
/ \
\_/
Summary: BFS, one queue for BFS, one map for visited nodes, one map for mapping between original nodes and the nodes of new graph.
/**
* 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;
vector<UndirectedGraphNode *> node_queue;
map<UndirectedGraphNode *, bool> visited;
map<UndirectedGraphNode *, UndirectedGraphNode *> node_map;
UndirectedGraphNode * root = new UndirectedGraphNode(node->label);
node_map[node] = root;
visited[node] = true;
node_queue.push_back(node); while(node_queue.size() > ){
UndirectedGraphNode * node = node_queue[];
node_queue.erase(node_queue.begin());
UndirectedGraphNode * new_node = node_map[node];
for(auto item : node->neighbors){
if(visited.find(item) != visited.end()){
new_node->neighbors.push_back(node_map[item]);
}else{
node_queue.push_back(item);
UndirectedGraphNode * new_item = new UndirectedGraphNode(item->label);
node_map[item] = new_item;
new_node->neighbors.push_back(new_item);
visited[item] = true;
}
}
} return root;
}
};
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