Problem
Given the root
of a perfect binary tree, reverse the node values at each odd level of the tree.
- For example, suppose the node values at level 3 are
[2,1,3,4,7,11,29,18]
, then it should become[18,29,11,7,4,3,1,2]
.
Return the root of the reversed tree.
A binary tree is perfect if all parent nodes have two children and all leaves are on the same level.
The level of a node is the number of edges along the path between it and the root node.
Example 1:
Input: root = [2,3,5,8,13,21,34]
Output: [2,5,3,8,13,21,34]
Explanation:
The tree has only one odd level.
The nodes at level 1 are 3, 5 respectively, which are reversed and become 5, 3.
Example 2:
Input: root = [7,13,11]
Output: [7,11,13]
Explanation:
The nodes at level 1 are 13, 11, which are reversed and become 11, 13.
Example 3:
Input: root = [0,1,2,0,0,0,0,1,1,1,1,2,2,2,2]
Output: [0,2,1,0,0,0,0,2,2,2,2,1,1,1,1]
Explanation:
The odd levels have non-zero values.
The nodes at level 1 were 1, 2, and are 2, 1 after the reversal.
The nodes at level 3 were 1, 1, 1, 1, 2, 2, 2, 2, and are 2, 2, 2, 2, 1, 1, 1, 1 after the reversal.
Constraints:
The number of nodes in the tree is in the range
[1, 214]
.0 <= Node.val <= 10^5
root
is a perfect binary tree.
Solution (Java)
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
class Solution {
public TreeNode reverseOddLevels(TreeNode root) {
if(root == null)
return root;
Queue<TreeNode> queue = new LinkedList<>();
int level = 0;
queue.add(root);
while (!queue.isEmpty()) {
int size = queue.size();
level++;
TreeNode[] arr = new TreeNode[size];
for (int i = 0; i < size; i++) {
TreeNode cur = queue.poll();
arr[i] = cur;
if(cur.left != null){
queue.add(cur.left);
queue.add(cur.right);
}
}
if (level % 2 == 0) {
int left = 0;
int right = size - 1;
while (left < right) {
int leftVal = arr[left].val;
arr[left].val = arr[right].val;
arr[right].val = leftVal;
left++;
right--;
}
}
}
return root;
}
}
Explain:
nope.
Complexity:
- Time complexity : O(n).
- Space complexity : O(n).