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 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
/
\_/
Example
return a deep copied graph.
三步走。1. BFS 得到nodes Arraylist 2. copy nodes 3. copy edges
数据结构:map(节点映射), queue(BFS)+set(BFS时避免加重复)
反正一定得要先2再3,没办法同时做,但你没必要23都各自做一次BFS,可以先1BFS把节点有多少个的信息提取出来,给后面直接用。
另外切记queue.offer()和set.add()一定要同时进行!分开后在重复加某条边的操作下会出错。
1. 自己实现(两次BFS有点冗余了,学习下)
/** * 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; } Map<UndirectedGraphNode, UndirectedGraphNode> map = new HashMap<>(); Queue<UndirectedGraphNode> queue = new LinkedList<>(); queue.offer(node); while (!queue.isEmpty()) { UndirectedGraphNode crt = queue.poll(); UndirectedGraphNode crtCopy = new UndirectedGraphNode(crt.label); map.put(crt, crtCopy); for (UndirectedGraphNode neighbor: crt.neighbors) { if (!map.containsKey(neighbor)) { queue.offer(neighbor); } } } Set<UndirectedGraphNode> nodeProcessed = new HashSet<>(); // queue的offer和set的add一定要同步进行!!!在别的地方add可能会出错处理重复情况 queue.offer(node); nodeProcessed.add(node); while (!queue.isEmpty()) { UndirectedGraphNode crt = queue.poll(); UndirectedGraphNode crtCopy = map.get(crt); for (UndirectedGraphNode neighbor: crt.neighbors) { UndirectedGraphNode neighborCopy = map.get(neighbor); crtCopy.neighbors.add(neighborCopy); if (!nodeProcessed.contains(neighbor)) { queue.offer(neighbor); nodeProcessed.add(neighbor); } } } return map.get(node); } }
2.九章实现(额外函数以模块化也值得学习)
public class Solution { /** * @param node: A undirected graph node * @return: A undirected graph node */ public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) { if (node == null) { return node; } // use bfs algorithm to traverse the graph and get all nodes. ArrayList<UndirectedGraphNode> nodes = getNodes(node); // copy nodes, store the old->new mapping information in a hash map HashMap<UndirectedGraphNode, UndirectedGraphNode> mapping = new HashMap<>(); for (UndirectedGraphNode n : nodes) { mapping.put(n, new UndirectedGraphNode(n.label)); } // copy neighbors(edges) for (UndirectedGraphNode n : nodes) { UndirectedGraphNode newNode = mapping.get(n); for (UndirectedGraphNode neighbor : n.neighbors) { UndirectedGraphNode newNeighbor = mapping.get(neighbor); newNode.neighbors.add(newNeighbor); } } return mapping.get(node); } private ArrayList<UndirectedGraphNode> getNodes(UndirectedGraphNode node) { Queue<UndirectedGraphNode> queue = new LinkedList<UndirectedGraphNode>(); HashSet<UndirectedGraphNode> set = new HashSet<>(); queue.offer(node); set.add(node); while (!queue.isEmpty()) { UndirectedGraphNode head = queue.poll(); for (UndirectedGraphNode neighbor : head.neighbors) { if(!set.contains(neighbor)){ set.add(neighbor); queue.offer(neighbor); } } } return new ArrayList<UndirectedGraphNode>(set); } }