Invert Binary Tree
Given the root of a binary tree, flip the tree so that every left child becomes the right child and vice versa at every node. Return the root of the inverted tree.
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Problem
Given the root of a binary tree, invert the tree, and return its root.
Input
The root of a binary tree (or null for an empty tree). Represented in tests as a level-order array where `null` marks missing nodes.
Output
The root of the inverted binary tree (same level-order array format).
Examples
Input: root = [4, 2, 7, 1, 3, 6, 9]
Output: [4, 7, 2, 9, 6, 3, 1]
Every left/right pair is swapped at each level. Node 4's children 2 and 7 swap; node 2's children 1 and 3 swap; node 7's children 6 and 9 swap.
Input: root = [2, 1, 3]
Output: [2, 3, 1]
Children of root (1 and 3) swap.
Input: root = []
Output: []
Empty tree stays empty.
The brute-force approach
There's no meaningfully 'worse' approach here, the problem requires touching every node at least once, so O(n) is the floor. The interesting question is *which* traversal to use: recursive DFS, iterative DFS, or BFS.
# Iterative BFS (level-order), intuitive but uses a queue
from collections import deque
queue = deque([root])
while queue:
node = queue.popleft()
if node:
node.left, node.right = node.right, node.left # swap
queue.append(node.left)
queue.append(node.right)This is already O(n) time and O(n) space. The recursive approach below achieves the same complexity with less code, a good opportunity to practice thinking recursively.
Spotting the pattern
This is a Tree Traversal problem. The key question to ask yourself:
Can I swap this node's children and then let recursion handle each subtree?
Answering that is where it clicks, and it's exactly what the guided walkthrough below builds with you: the pattern reasoning, a progressive hint ladder that never spoils the answer, a row-by-row dry run, the optimized solution, and an in-browser editor to run your code against real test cases.
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