Give this problem a try 430. Flatten a Multilevel Doubly Linked List.
Note: Some might wonder why you’d use this odd data structure. One use case is a simplified version of Git
branching, where flattening the list is like merging all branches, even though that’s not exactly how git merge works.
Problem Statement
You are given a doubly linked list, which contains nodes that have a next pointer, a previous pointer, and an additional child pointer. This child pointer may or may not point to a separate doubly linked list, also containing these special nodes. These child lists may have one or more children of their own, and so on, to produce a multilevel data structure as shown in the example below.
Given the head of the first level of the list, flatten the list so that all the nodes appear in a single-level, doubly linked list. Let curr
be a node with a child list. The nodes in the child list should appear after curr
and before curr.next
in the flattened list.
Return the head of the flattened list. The nodes in the list must have all of their child pointers set to null
.
Examples
Example 1
-
Input:
head = [1,2,3,4,5,6,null,null,null,7,8,9,10,null,null,11,12]
-
Output:
[1,2,3,7,8,11,12,9,10,4,5,6]
Example 1
-
Input:
head = [1,2,null,3]
-
Output:
[1,3,2]
Example 3
-
Input:
head = []
-
Output:
[]
Constraints
- The number of Nodes will not exceed 1000.
1 <= Node.val <= 10^5
Prerequisite Knowledge
- DFS
- Linked List
- Tree Traversal
Example Code
/*
// Definition for a Node.
class Node {
public int val;
public Node prev;
public Node next;
public Node child;
};
*/
class Solution {
public Node flatten(Node head) {
if (head == null) return head;
Node pseudoHead = new Node(0, null, head, null);
Stack<Node> stack = new Stack<>();
stack.push(head);
Node curr = pseudoHead, prev = pseudoHead;
while (!stack.isEmpty()) {
curr = stack.pop();
prev.next = curr;
curr.prev = prev;
if (curr.next != null) stack.push(curr.next);
if (curr.child != null) {
stack.push(curr.child);
curr.child = null;
}
prev = curr;
}
pseudoHead.next.prev = null;
return pseudoHead.next;
}
}
Complexity Analysis
- Time Complexity: O(n)
- Space Complexity: O(n)
Sign-off
Congratulations on making it this far! Best of luck in your future competitions!