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 +1,57 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0046. Permutations :medium:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0046. Permutations][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0046. Permutations][0046. Permutations]]
:END:
Given an array ~nums~ of distinct integers, return all the possible permutations. You can return the answer in *any order*.
*Example 1:*
#+begin_src
Input: nums = [1,2,3]
Output: [[1,2,3],[1,3,2],[2,1,3],[2,3,1],[3,1,2],[3,2,1]]
#+end_src
*Example 2:*
#+begin_src
Input: nums = [0,1]
Output: [[0,1],[1,0]]
#+end_src
*Example 3:*
#+begin_src
Input: nums = [1]
Output: [[1]]
#+end_src
*Constraints:*
- ~1 <= nums.length <= 6~
- ~-10 <= nums[i] <= 10~
- All the integers of ~nums~ are *unique*.
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class Solution:
def permute(self, nums: List[int]) -> List[List[int]]:
#+end_src
** TODO C++
#+begin_src cpp
class Solution {
public:
vector<vector<int>> permute(vector<int>& nums) {
}
};
#+end_src