Solving Leetcode Interviews in Seconds with AI: Binary Tree Right Side View
Introduction
In this blog post, we will explore how to solve the LeetCode problem "199" 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, imagine yourself standing on the right side of it, return the values of the nodes you can see ordered from top to bottom. Example 1: Input: root = [1,2,3,null,5,null,4] Output: [1,3,4] Explanation: Example 2: Input: root = [1,2,3,4,null,null,null,5] Output: [1,3,4,5] Explanation: Example 3: Input: root = [1,null,3] Output: [1,3] Example 4: Input: root = [] Output: [] Constraints: The number of nodes in the tree is in the range [0, 100]. -100 <= Node.val <= 100
Explanation
Here's a solution to the problem of finding the right side view of a binary tree:
- Level-Order Traversal: Perform a level-order (breadth-first) traversal of the tree.
- Rightmost Node: For each level, the rightmost node encountered during the traversal is the one visible from the right side. Store the value of this node.
Result: Collect the values of the rightmost nodes from each level in a list.
Time Complexity: O(N), where N is the number of nodes in the tree.
- Space Complexity: O(W), where W is the maximum width of the tree (worst case O(N) if the tree is skewed).
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 rightSideView(root):
"""
Given the root of a binary tree, imagine yourself standing on the right side of it,
return the values of the nodes you can see ordered from top to bottom.
"""
if not root:
return []
result = []
queue = deque([root])
while queue:
level_size = len(queue)
for i in range(level_size):
node = queue.popleft()
if i == level_size - 1:
result.append(node.val)
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
return result