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 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:
早期做这个题,提交了十几次,不是结果不对就是超时,现在回来看这个题,觉得经验真的很重要,当时一门心思的走 DFS 的路子,倒也不是不能做出来,但是代码会被搞的极为复杂,搞到最后自己可能猜到问题在哪了,但是改了之后会出现另一个问题。现在回过头来看,可能大部分的设计 Graph 的问题,BFS 才是更好而且更符合直觉的解决方式。这题用了两次 BFS 的遍历,一次复制 Node 本身, 一次给这些复制的 Node 添加关联。
func cloneGraph(node *Node) *Node {
if node == nil {
return nil
}
nexts := make([]*Node, 0, 100)
nexts = append(nexts, node)
nodes := make(map[int]*Node)
visited := make(map[int]bool)
for len(nexts) > 0 {
n, remain := nexts[0], nexts[1:]
nexts = remain
if visited[n.Val] {
continue
}
visited[n.Val] = true
nodes[n.Val] = &Node{Val: n.Val}
for _, neighbor := range n.Neighbors {
if visited[n.Val] {
nexts = append(nexts, neighbor)
}
}
}
visited = make(map[int]bool)
nexts = make([]*Node, 0, 100)
nexts = append(nexts, node)
for len(nexts) > 0 {
n, remain := nexts[0], nexts[1:]
nexts = remain
if visited[n.Val] {
continue
}
visited[n.Val] = true
for _, neighbor := range n.Neighbors {
nodes[n.Val].Neighbors = append(nodes[n.Val].Neighbors, nodes[neighbor.Val])
}
for _, neighbor := range n.Neighbors {
if visited[n.Val] {
nexts = append(nexts, neighbor)
}
}
}
return nodes[node.Val]
}