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
/ \
\_/
复制图。有DFS和BFS两种方法,我选用了BFS的方法。
/**
* Definition for undirected graph.
* class UndirectedGraphNode {
* int label;
* List<UndirectedGraphNode> neighbors;
* UndirectedGraphNode(int x) { label = x; neighbors = new ArrayList<UndirectedGraphNode>(); }
* };
*/
public class Solution {
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
if( node == null )
return null; Map map = new HashMap<Integer,UndirectedGraphNode>();
Queue queue = new LinkedList<UndirectedGraphNode>(); queue.add(node);
UndirectedGraphNode nnn = new UndirectedGraphNode(node.label);
map.put(nnn.label,nnn); while( !queue.isEmpty() ){
UndirectedGraphNode nn = (UndirectedGraphNode) queue.poll(); List ll1 = nn.neighbors;
UndirectedGraphNode nn2 = (UndirectedGraphNode) map.get(nn.label);
List ll2 = nn2.neighbors; for( int i = 0;i<ll1.size();i++){ UndirectedGraphNode node2 = (UndirectedGraphNode) ll1.get(i);
if( map.containsKey(node2.label) ){
ll2.add(map.get(node2.label));
}else{
UndirectedGraphNode node3 = new UndirectedGraphNode(node2.label);
map.put(node2.label,node3);
ll2.add(node3);
queue.add(node2);
}
} } return nnn;}
}