Largest BST subtree
Given a binary tree encoded as a level-order array (None marks a missing child), return the number of nodes in the largest subtree that is itself a valid binary search tree (strict ordering: left subtree values < node < right subtree values). Solve it bottom-up in a single post-order pass: each node returns whether its subtree is a BST, its size, and its min/max so the parent can decide in O(1). Return the size of the largest such subtree.
Implement
largest_bst_subtree(level: list) → intExamples
in
[[10,5,15,1,8,null,7]]out3What a strong answer looks like
State your approach and its time/space complexity out loud before you optimize. Handle the edge cases (empty input, duplicates, overflow), and say why you chose this over the brute force. Green tests are the floor, not the grade.
0:00 of about 35 min
solution.py
InputExpectedGot
[[10,5,15,1,8,null,7]]3not run yetsample