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 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 / \ \_/
public class Solution {
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
if (node==null) return null;
Map<UndirectedGraphNode,UndirectedGraphNode> map=new HashMap<>();
dfs(map,node);
return map.get(node);
}
private void dfs(Map<UndirectedGraphNode,UndirectedGraphNode> map, UndirectedGraphNode v) {
UndirectedGraphNode x=new UndirectedGraphNode(v.label);
map.put(v,x);
for (UndirectedGraphNode w: v.neighbors) {
if (!map.containsKey(w)) dfs(map,w);
x.neighbors.add(map.get(w));
}
}
}
Solution 2: BFS
public class Solution {
public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
if (node==null) return null;
Queue<UndirectedGraphNode> qu=new LinkedList<>();
Map<UndirectedGraphNode, UndirectedGraphNode> map=new HashMap<>();
UndirectedGraphNode x=new UndirectedGraphNode(node.label);
map.put(node,x);
qu.offer(node);
while (!qu.isEmpty()) {
UndirectedGraphNode v=qu.poll();
for (UndirectedGraphNode w: v.neighbors) {
if (!map.containsKey(w)) {
map.put(w, new UndirectedGraphNode(w.label));
qu.offer(w);
}
map.get(v).neighbors.add(map.get(w));
}
}
return map.get(node);
}
}
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