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 +1,53 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0051. N Queens :hard:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0051. N Queens][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0051. N Queens][0051. N Queens]]
:END:
The *n-queens* puzzle is the problem of placing ~n~ queens on an ~n x n~ chessboard such that no two queens attack each other.
Given an integer ~n~, return /all distinct solutions to the *n-queens puzzle*/. You may return the answer in *any order*.
Each solution contains a distinct board configuration of the n-queens' placement, where ~'Q'~ and ~'.'~ both indicate a queen and an empty space, respectively.
*Example 1:*
#+begin_src
Input: n = 4
Output: [[".Q..","...Q","Q...","..Q."],["..Q.","Q...","...Q",".Q.."]]
Explanation: There exist two distinct solutions to the 4-queens puzzle as shown above
#+end_src
*Example 2:*
#+begin_src
Input: n = 1
Output: [["Q"]]
#+end_src
*Constraints:*
- ~1 <= n <= 9~
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class Solution:
def solveNQueens(self, n: int) -> List[List[str]]:
#+end_src
** TODO C++
#+begin_src cpp
class Solution {
public:
vector<vector<string>> solveNQueens(int n) {
}
};
#+end_src