/**
* 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 createBinaryTree(int[][] descriptions) {
Map<Integer, TreeNode> map = new HashMap<>();
Set<Integer> children = new HashSet<>();
for (int[] d : descriptions) {
int parent = d[0];
int child = d[1];
int isLeft = d[2];
map.putIfAbsent(parent, new TreeNode(parent));
map.putIfAbsent(child, new TreeNode(child));
TreeNode parentNode = map.get(parent);
TreeNode childNode = map.get(child);
if (isLeft == 1) {
parentNode.left = childNode;
} else {
parentNode.right = childNode;
}
children.add(child);
}
for (int[] d : descriptions) {
int parent = d[0];
if (!children.contains(parent)) {
return map.get(parent);
}
}
return null;
}
}
TIME COMPLEXITY
SPACE COMPLEXITY