Clone an undirected graph. Each node in the graph contains a label and a list of its neighbors.
How we serialize an undirected graph:
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
/ \
\_/
Example
return a deep copied graph.
思路
首先会想到用BFS或者DFS去遍历这个图,然后对于每一个点,我们做一个新的点出来。我们要解决的问题是新做的点之间要像遍历过的点那样连起来。由此我们想到用HashMap来做老的点和新的点之间的对应。
我们用BFS做。具体看代码。
Code
/** * Definition for undirected graph. * class UndirectedGraphNode { * int label; * ArrayList<UndirectedGraphNode> neighbors; * UndirectedGraphNode(int x) { label = x; neighbors = new ArrayList<UndirectedGraphNode>(); } * }; */ public class Solution { /** * @param node: A undirected graph node * @return: A undirected graph node */ public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) { // write your code here if (node == null) { return null; } HashMap<UndirectedGraphNode, UndirectedGraphNode> map = new HashMap<>(); Queue<UndirectedGraphNode> queue = new LinkedList<>(); queue.offer(node); map.put(node, new UndirectedGraphNode(node.label)); while (!queue.isEmpty()) { UndirectedGraphNode currNode = queue.poll(); for (UndirectedGraphNode neighbor : currNode.neighbors) { if (!map.containsKey(neighbor)) { map.put(neighbor, new UndirectedGraphNode(neighbor.label)); queue.offer(neighbor); } map.get(currNode).neighbors.add(map.get(neighbor)); } } return map.get(node); } }