题目:
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 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:
Solution
**S1. BFS get all nodes. (version with no level order)
S2. Use a Hashmap and store the mapping relationship btw old---new nodes.(create new node based on old one)
S3. get the neighbor info and connect the edge based on hashmap.**
</>复制代码
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
if (node == null) {
return node;
}
// use bfs algorithm to traverse the graph and get all nodes.
ArrayList nodes = getNodes(node);
// copy nodes, store the old->new mapping information in a hash map
HashMap 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 getNodes(UndirectedGraphNode node) {
Queue queue = new LinkedList();
HashSet 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(set);
}
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