Description#
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 value (int
) and a list (List[Node]
) of its neighbors.
class Node {
public int val;
public List<Node> neighbors;
}
Test case format:
For simplicity, 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.
An 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.
Constraints:
- The number of nodes in the graph is in the range
[0, 100]
. 1 <= Node.val <= 100
Node.val
is unique for each node.- There are 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.
Solutions#
Solution 1#
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| """
# Definition for a Node.
class Node:
def __init__(self, val = 0, neighbors = None):
self.val = val
self.neighbors = neighbors if neighbors is not None else []
"""
class Solution:
def cloneGraph(self, node: 'Node') -> 'Node':
visited = defaultdict()
def clone(node):
if node is None:
return None
if node in visited:
return visited[node]
c = Node(node.val)
visited[node] = c
for e in node.neighbors:
c.neighbors.append(clone(e))
return c
return clone(node)
|
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| /*
// Definition for a Node.
class Node {
public int val;
public List<Node> neighbors;
public Node() {
val = 0;
neighbors = new ArrayList<Node>();
}
public Node(int _val) {
val = _val;
neighbors = new ArrayList<Node>();
}
public Node(int _val, ArrayList<Node> _neighbors) {
val = _val;
neighbors = _neighbors;
}
}
*/
class Solution {
private Map<Node, Node> visited = new HashMap<>();
public Node cloneGraph(Node node) {
if (node == null) {
return null;
}
if (visited.containsKey(node)) {
return visited.get(node);
}
Node clone = new Node(node.val);
visited.put(node, clone);
for (Node e : node.neighbors) {
clone.neighbors.add(cloneGraph(e));
}
return clone;
}
}
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| /*
// Definition for a Node.
class Node {
public:
int val;
vector<Node*> neighbors;
Node() {
val = 0;
neighbors = vector<Node*>();
}
Node(int _val) {
val = _val;
neighbors = vector<Node*>();
}
Node(int _val, vector<Node*> _neighbors) {
val = _val;
neighbors = _neighbors;
}
};
*/
class Solution {
public:
unordered_map<Node*, Node*> visited;
Node* cloneGraph(Node* node) {
if (!node) return nullptr;
if (visited.count(node)) return visited[node];
Node* clone = new Node(node->val);
visited[node] = clone;
for (auto& e : node->neighbors)
clone->neighbors.push_back(cloneGraph(e));
return clone;
}
};
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| /**
* Definition for a Node.
* type Node struct {
* Val int
* Neighbors []*Node
* }
*/
func cloneGraph(node *Node) *Node {
visited := map[*Node]*Node{}
var clone func(node *Node) *Node
clone = func(node *Node) *Node {
if node == nil {
return nil
}
if _, ok := visited[node]; ok {
return visited[node]
}
c := &Node{node.Val, []*Node{}}
visited[node] = c
for _, e := range node.Neighbors {
c.Neighbors = append(c.Neighbors, clone(e))
}
return c
}
return clone(node)
}
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| /**
* Definition for Node.
* class Node {
* val: number
* neighbors: Node[]
* constructor(val?: number, neighbors?: Node[]) {
* this.val = (val===undefined ? 0 : val)
* this.neighbors = (neighbors===undefined ? [] : neighbors)
* }
* }
*/
function cloneGraph(node: Node | null): Node | null {
if (node == null) return null;
const visited = new Map();
visited.set(node, new Node(node.val));
const queue = [node];
while (queue.length) {
const cur = queue.shift();
for (let neighbor of cur.neighbors || []) {
if (!visited.has(neighbor)) {
queue.push(neighbor);
const newNeighbor = new Node(neighbor.val, []);
visited.set(neighbor, newNeighbor);
}
const newNode = visited.get(cur);
newNode.neighbors.push(visited.get(neighbor));
}
}
return visited.get(node);
}
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| using System.Collections.Generic;
public class Solution {
public Node CloneGraph(Node node) {
if (node == null) return null;
var dict = new Dictionary<int, Node>();
var queue = new Queue<Node>();
queue.Enqueue(CloneVal(node));
dict.Add(node.val, queue.Peek());
while (queue.Count > 0)
{
var current = queue.Dequeue();
var newNeighbors = new List<Node>(current.neighbors.Count);
foreach (var oldNeighbor in current.neighbors)
{
Node newNeighbor;
if (!dict.TryGetValue(oldNeighbor.val, out newNeighbor))
{
newNeighbor = CloneVal(oldNeighbor);
queue.Enqueue(newNeighbor);
dict.Add(newNeighbor.val, newNeighbor);
}
newNeighbors.Add(newNeighbor);
}
current.neighbors = newNeighbors;
}
return dict[node.val];
}
private Node CloneVal(Node node)
{
return new Node(node.val, new List<Node>(node.neighbors));
}
}
|