2331 - Evaluate Boolean Binary Tree (Easy)
Problem Link
https://leetcode.com/problems/evaluate-boolean-binary-tree
Problem Statement
You are given the root
of a full binary tree with the following properties:
- Leaf nodes have either the value
0
or1
, where0
representsFalse
and1
representsTrue
. - Non-leaf nodes have either the value
2
or3
, where2
represents the booleanOR
and3
represents the booleanAND
.
The evaluation of a node is as follows:
- If the node is a leaf node, the evaluation is the value of the node, i.e.
True
orFalse
. - Otherwise, evaluate the node's two children and apply the boolean operation of its value with the children's evaluations.
Return the boolean result of evaluating the root
node.
A full binary tree is a binary tree where each node has either 0
or 2
children.
A leaf node is a node that has zero children.
Example 1:
Input: root = [2,1,3,null,null,0,1]
Output: true
Explanation: The above diagram illustrates the evaluation process.
The AND node evaluates to False AND True = False.
The OR node evaluates to True OR False = True.
The root node evaluates to True, so we return true.
Example 2:
Input: root = [0]
Output: false
Explanation: The root node is a leaf node and it evaluates to false, so we return false.
Constraints:
- The number of nodes in the tree is in the range
[1, 1000]
. 0 <= Node.val <= 3
- Every node has either
0
or2
children. - Leaf nodes have a value of
0
or1
. - Non-leaf nodes have a value of
2
or3
.
Approach 1: Recursive
We have four cases:
- If the value is 0, then return false
- If the value is 1, then return true
- If the value is 2, then call the function on left tree and right tree and apply OR operation on both returned values
- If the value is 3, then call the function on left tree and right tree and apply AND operation on both returned values
class Solution {
public:
bool evaluateTree(TreeNode* root) {
// case 1
if (root->val == 0) return false;
// case 2
else if (root->val == 1) return true;
// case 3
else if (root->val == 2) return evaluateTree(root->left) || evaluateTree(root->right);
// case 4
return evaluateTree(root->left) && evaluateTree(root->right);
}
};