feat: populate note files with problem descriptions and code stubs
Add populate-notes.mjs that fetches problem descriptions and Python/C++ code stubs from LeetCode's GraphQL API. Populated all 197 NeetCode 150 note files with: - Problem description (examples, constraints) - Python code stub (function signature) - C++ code stub (function signature + includes) API responses cached in leetcode/.cache/leetcode/ for instant re-runs.
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@@ -1,18 +1,71 @@
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#+PROPERTY: STUDY_DECK_02
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* TODO 0230. Kth Smallest Element In a Bst :medium:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0230. Kth Smallest Element In a Bst][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0230. Kth Smallest Element In a Bst][0230. Kth Smallest Element In a Bst]]
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:END:
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Given the ~root~ of a binary search tree, and an integer ~k~, return /the/ ~k^{th}~ /smallest value (*1-indexed*) of all the values of the nodes in the tree/.
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*Example 1:*
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#+begin_src
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Input: root = [3,1,4,null,2], k = 1
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Output: 1
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#+end_src
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*Example 2:*
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#+begin_src
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Input: root = [5,3,6,2,4,null,null,1], k = 3
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Output: 3
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#+end_src
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*Constraints:*
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- The number of nodes in the tree is ~n~.
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- ~1 <= k <= n <= 10^{4}~
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- ~0 <= Node.val <= 10^{4}~
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*Follow up:* If the BST is modified often (i.e., we can do insert and delete operations) and you need to find the kth smallest frequently, how would you optimize?
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** TODO Approach
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Write your approach here.
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** TODO Python
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#+begin_src python
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# Definition for a binary tree node.
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# class TreeNode:
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# def __init__(self, val=0, left=None, right=None):
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# self.val = val
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# self.left = left
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# self.right = right
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class Solution:
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def kthSmallest(self, root: Optional[TreeNode], k: int) -> int:
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#+end_src
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** TODO C++
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#+begin_src cpp
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/**
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* Definition for a binary tree node.
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* struct TreeNode {
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* int val;
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* TreeNode *left;
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* TreeNode *right;
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* TreeNode() : val(0), left(nullptr), right(nullptr) {}
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* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
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* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
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* };
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*/
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class Solution {
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public:
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int kthSmallest(TreeNode* root, int k) {
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}
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};
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#+end_src
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