/** * Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors. * * <p>OJ's undirected graph serialization: Nodes are labeled uniquely. * * <p>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}. * * <p>The graph has a total of three nodes, and therefore contains three parts as separated by #. * * <p>First node is labeled as 0. Connect node 0 to both nodes 1 and 2. Second node is labeled as 1. * Connect node 1 to node 2. Third node is labeled as 2. Connect node 2 to node 2 (itself), thus * forming a self-cycle. Visually, the graph looks like the following: * * <p>1 / \ / \ 0 --- 2 / \ \_/ */ import java.util.HashMap; import java.util.HashSet; import java.util.LinkedList; import java.util.Map; import java.util.Queue; import java.util.Set; public class CloneGraph { public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) { if (node == null) return node; Queue<UndirectedGraphNode> queue = new LinkedList<UndirectedGraphNode>(); queue.add(node); Set<UndirectedGraphNode> visited = new HashSet<UndirectedGraphNode>(); Map<UndirectedGraphNode, UndirectedGraphNode> map = new HashMap<UndirectedGraphNode, UndirectedGraphNode>(); while (!queue.isEmpty()) { UndirectedGraphNode n = queue.remove(); if (visited.contains(n)) continue; visited.add(n); UndirectedGraphNode clone; if (!map.containsKey(n)) { clone = new UndirectedGraphNode(n.label); map.put(n, clone); } else { clone = map.get(n); } for (UndirectedGraphNode child : n.neighbors) { queue.add(child); UndirectedGraphNode cloneChild; if (!map.containsKey(child)) { cloneChild = new UndirectedGraphNode(child.label); map.put(child, cloneChild); } else { cloneChild = map.get(child); } clone.neighbors.add(cloneChild); } } return map.get(node); } }