卖萌的弱渣

I am stupid, I am hungry.

Clone Graph

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.

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:
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   1
  / \
 /   \
0 --- 2
     / \
     \_/

Solution

Java

DFS

(Clone-Graph.java) download
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/**
 * Definition for undirected graph.
 * class UndirectedGraphNode {
 *     int label;
 *     List<UndirectedGraphNode> neighbors;
 *     UndirectedGraphNode(int x) { label = x; neighbors = new ArrayList<UndirectedGraphNode>(); }
 * };
 */
public class Solution {
    // 已经创建过的node,label 映射<label, Node>
    private HashMap<Integer, UndirectedGraphNode> map = new HashMap<>();
    public UndirectedGraphNode cloneGraph(UndirectedGraphNode node) {
        return clone(node);
    }
    public UndirectedGraphNode clone(UndirectedGraphNode node){
        if(node==null) return null;
        if(map.containsKey(node.label)) return map.get(node.label);

        // 不在map中,说明之前没有给这个节点创建object.
        UndirectedGraphNode newNode = new UndirectedGraphNode(node.label);
        map.put(node.label, newNode);
        // copy neighbors
        for(UndirectedGraphNode neighbor : node.neighbors){
            newNode.neighbors.add(clone(neighbor));
        }
        return newNode;
    }
}

Python

(Clone-Graph.py) download
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# Definition for a undirected graph node
# class UndirectedGraphNode(object):
#     def __init__(self, x):
#         self.label = x
#         self.neighbors = []

 # Definition for a undirected graph node
# class UndirectedGraphNode(object):
#     def __init__(self, x):
#         self.label = x
#         self.neighbors = []

class Solution(object):
    def __init__(self):
        # hash_map{label:new_node}
        self.hash_map = {}

    def cloneGraph(self, node):
        """
        :type node: UndirectedGraphNode
        :rtype: UndirectedGraphNode
        """
        # hash_map: {new_node:new_node.label)
        if node == None:
            return None
        if node.label in self.hash_map:
            return self.hash_map[node.label]
        # new node
        root = UndirectedGraphNode(node.label)
        # update hash_map
        self.hash_map[node.label] = root
        for neighbor in node.neighbors:
            root.neighbors.append(self.cloneGraph(neighbor))
        return root