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Clone Graph

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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 (val) and a list of its neighbors (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: The graph consists of a single node with val = 1 and no neighbors.

Example 3:

Input: adjList = []
Output: []
Explanation: The graph is empty (no nodes).

Examples

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 forming a cycle: 1-2-3-4-1. Each node is cloned with its neighbors correctly referencing the new cloned nodes, not the originals.

Example 2

Input: adjList = [[]]

Output: [[]]

Explanation: The graph has a single node with val = 1 and no neighbors. The clone is a new node with val = 1 and an empty neighbors list.

Example 3

Input: adjList = []

Output: []

Explanation: The graph is empty (null input), so the output is also null/empty.

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.

Optimal Complexity

Time

O(V + E)

Space

O(V)

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