LeetCode Clone Graph

133. Clone Graph

Given a reference of a node in a connected undirected graph.

Return a deep copy (clone) of the graph.

Each node in the graph contains a val (int) and a list (List[Node]) of its neighbors.

class Node {
    public int val;
    public List<Node> neighbors;
}

Test case format:

For simplicity sake, each node’s value is the same as the node’s index (1-indexed). For example, the first node with val = 1, the second node with val = 2, and so on. The graph is represented in the test case using an adjacency list.

Adjacency list is a collection of unordered lists used to represent a finite graph. Each list describes the set of neighbors of a node in the graph.

The given node will always be the first node with val = 1. You must return the copy of the given node as a reference to the cloned graph.

Example 1:

Input: adjList = [[2,4],[1,3],[2,4],[1,3]]
Output: [[2,4],[1,3],[2,4],[1,3]]
Explanation: There are 4 nodes in the graph.
1st node (val = 1)'s neighbors are 2nd node (val = 2) and 4th node (val = 4).
2nd node (val = 2)'s neighbors are 1st node (val = 1) and 3rd node (val = 3).
3rd node (val = 3)'s neighbors are 2nd node (val = 2) and 4th node (val = 4).
4th node (val = 4)'s neighbors are 1st node (val = 1) and 3rd node (val = 3).

Example 2:

Input: adjList = [[]]
Output: [[]]
Explanation: Note that the input contains one empty list. The graph consists of only one node with val = 1 and it does not have any neighbors.

Example 3:

Input: adjList = []
Output: []
Explanation: This an empty graph, it does not have any nodes.

Example 4:

Input: adjList = [[2],[1]]
Output: [[2],[1]]

Constraints:

  • 1 <= Node.val <= 100
  • Node.val is unique for each node.
  • Number of Nodes will not exceed 100.
  • There is no repeated edges and no self-loops in the graph.
  • The Graph is connected and all nodes can be visited starting from the given node.

给定一个无向图,要求克隆一个一样的图,也就是深拷贝。 图的问题,想到应该是DFS或者BFS,但是没太想明白,因为DFS过程中可能遇到之前已经new过的节点,不知道怎么判断比较好,查看讨论区,发现每new一个节点,把这个节点存到一个hash表中就好了,下回先查hash表,不中才new新的。 因为每个节点的label是unique的,所以hash的key可以是label,value是node*。 完整代码如下,注意第9行,new出来的节点要先加入hash,再递归DFS,否则递归DFS在hash表中找不到当前的节点,比如{0,0,0}这个样例就会出错。

class Solution {
private:
    unordered_map<int, UndirectedGraphNode*> graph;
public:
    UndirectedGraphNode* cloneGraph(UndirectedGraphNode* node)
    {
        if (node == NULL)
            return NULL;
        if (graph.find(node->label) != graph.end())
            return graph[node->label];
        UndirectedGraphNode* cur = new UndirectedGraphNode(node->label);
        graph[cur->label] = cur;
        for (auto& n : node->neighbors) {
            cur->neighbors.push_back(cloneGraph(n));
        }
        return cur;
    }
};

本代码提交AC,用时26MS。

二刷。换了代码模板,方法是一样的,Hash+DFS:

class Solution {
public:
	Node* clone(Node* node, unordered_map<int, Node*> &hash) {
		int val = node->val;
		if (hash.find(val) != hash.end())return hash[val];
		Node *cp = new Node(node->val);
		hash[val] = cp;
		for (int i = 0; i < node->neighbors.size(); ++i) {
			int child = node->neighbors[i]->val;
			if (hash.find(child) != hash.end()) {
				cp->neighbors.push_back(hash[child]);
			}
			else {
				cp->neighbors.push_back(clone(node->neighbors[i], hash));
			}
		}
		return cp;
	}

	Node* cloneGraph(Node* node) {
		if (node == NULL)return NULL;
		unordered_map<int, Node*> hash;
		return clone(node, hash);
	}
};

本代码提交AC,用时12MS。

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