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 +1,55 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0077. Combinations :medium:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0077. Combinations][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0077. Combinations][0077. Combinations]]
:END:
Given two integers ~n~ and ~k~, return /all possible combinations of/ ~k~ /numbers chosen from the range/ ~[1, n]~.
You may return the answer in *any order*.
*Example 1:*
#+begin_src
Input: n = 4, k = 2
Output: [[1,2],[1,3],[1,4],[2,3],[2,4],[3,4]]
Explanation: There are 4 choose 2 = 6 total combinations.
Note that combinations are unordered, i.e., [1,2] and [2,1] are considered to be the same combination.
#+end_src
*Example 2:*
#+begin_src
Input: n = 1, k = 1
Output: [[1]]
Explanation: There is 1 choose 1 = 1 total combination.
#+end_src
*Constraints:*
- ~1 <= n <= 20~
- ~1 <= k <= n~
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class Solution:
def combine(self, n: int, k: int) -> List[List[int]]:
#+end_src
** TODO C++
#+begin_src cpp
class Solution {
public:
vector<vector<int>> combine(int n, int k) {
}
};
#+end_src