LeetCode133 深度複製無向圖
Given the head of a graph, return a deep copy (clone) of the graph. Each node in the graph contains a label (int) and a list (List[UndirectedGraphNode]) of its neighbors. There is an edge between the given node and each of the nodes in its neighbors.
OJ’s undirected graph serialization (so you can understand error output):
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 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:
1
/ \
/ \
0 --- 2
/ \
\_/
Note: The information about the tree serialization is only meant so that you can understand error output if you get a wrong answer. You don’t need to understand the serialization to solve the problem.
/** * 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; HashMap<Integer, UndirectedGraphNode> map = new HashMap<>(); Queue<UndirectedGraphNode> queue = new LinkedList<>(); UndirectedGraphNode newNode = new UndirectedGraphNode(node.label); queue.offer(node); map.put(node.label, newNode); while(!queue.isEmpty()){ UndirectedGraphNode n = queue.poll(); for(UndirectedGraphNode neighbor : n.neighbors){ if(!map.containsKey(neighbor.label)){ map.put(neighbor.label, new UndirectedGraphNode(neighbor.label)); queue.add(neighbor); } map.get(n.label).neighbors.add(map.get(neighbor.label)); } } return newNode; } }