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.
This commit is contained in:
2026-06-01 17:22:07 +08:00
parent e798e449bd
commit 1dec88aaf2
198 changed files with 10459 additions and 534 deletions
@@ -1,18 +1,62 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0074. Search a 2D Matrix :medium:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0074. Search a 2D Matrix][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0074. Search a 2D Matrix][0074. Search a 2D Matrix]]
:END:
You are given an ~m x n~ integer matrix ~matrix~ with the following two properties:
- Each row is sorted in non-decreasing order.
- The first integer of each row is greater than the last integer of the previous row.
Given an integer ~target~, return ~true~ /if/ ~target~ /is in/ ~matrix~ /or/ ~false~ /otherwise/.
You must write a solution in ~O(log(m * n))~ time complexity.
*Example 1:*
#+begin_src
Input: matrix = [[1,3,5,7],[10,11,16,20],[23,30,34,60]], target = 3
Output: true
#+end_src
*Example 2:*
#+begin_src
Input: matrix = [[1,3,5,7],[10,11,16,20],[23,30,34,60]], target = 13
Output: false
#+end_src
*Constraints:*
- ~m == matrix.length~
- ~n == matrix[i].length~
- ~1 <= m, n <= 100~
- ~-10^{4} <= matrix[i][j], target <= 10^{4}~
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class Solution:
def searchMatrix(self, matrix: List[List[int]], target: int) -> bool:
#+end_src
** TODO C++
#+begin_src cpp
class Solution {
public:
bool searchMatrix(vector<vector<int>>& matrix, int target) {
}
};
#+end_src