Solving Leetcode Interviews in Seconds with AI: Average of Levels in Binary Tree
Introduction
In this blog post, we will explore how to solve the LeetCode problem "637" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
Given the root of a binary tree, return the average value of the nodes on each level in the form of an array. Answers within 10-5 of the actual answer will be accepted. Example 1: Input: root = [3,9,20,null,null,15,7] Output: [3.00000,14.50000,11.00000] Explanation: The average value of nodes on level 0 is 3, on level 1 is 14.5, and on level 2 is 11. Hence return [3, 14.5, 11]. Example 2: Input: root = [3,9,20,15,7] Output: [3.00000,14.50000,11.00000] Constraints: The number of nodes in the tree is in the range [1, 104]. -231 <= Node.val <= 231 - 1
Explanation
- Level-Order Traversal: The core idea is to traverse the binary tree level by level. This is achieved using a queue-based Breadth-First Search (BFS) approach.
- Calculate Averages: For each level, we sum the values of all nodes at that level and divide by the number of nodes to get the average.
- Store Results: The average values calculated for each level are stored in a list, which is returned as the final result.
- Runtime Complexity: O(N), where N is the number of nodes in the tree. Storage Complexity: O(W), where W is the maximum width of the tree (maximum number of nodes at any level). In the worst case (complete binary tree), W can be approximately N.
Code
from collections import deque
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
def averageOfLevels(root):
"""
Calculates the average value of the nodes on each level of a binary tree.
Args:
root: The root node of the binary tree.
Returns:
A list of floats, where each float represents the average value of the nodes on a level.
"""
if not root:
return []
result = []
queue = deque([root])
while queue:
level_size = len(queue)
level_sum = 0
for _ in range(level_size):
node = queue.popleft()
level_sum += node.val
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
result.append(level_sum / level_size)
return result