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
/
\_/
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;} }