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 +1,65 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0338. Counting Bits :easy:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0338. Counting Bits][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0338. Counting Bits][0338. Counting Bits]]
:END:
Given an integer ~n~, return /an array /~ans~/ of length /~n + 1~/ such that for each /~i~/ /(~0 <= i <= n~)/, /~ans[i]~/ is the *number of */~1~/*'s* in the binary representation of /~i~.
*Example 1:*
#+begin_src
Input: n = 2
Output: [0,1,1]
Explanation:
0 --> 0
1 --> 1
2 --> 10
#+end_src
*Example 2:*
#+begin_src
Input: n = 5
Output: [0,1,1,2,1,2]
Explanation:
0 --> 0
1 --> 1
2 --> 10
3 --> 11
4 --> 100
5 --> 101
#+end_src
*Constraints:*
- ~0 <= n <= 10^{5}~
*Follow up:*
- It is very easy to come up with a solution with a runtime of ~O(n log n)~. Can you do it in linear time ~O(n)~ and possibly in a single pass?
- Can you do it without using any built-in function (i.e., like ~__builtin_popcount~ in C++)?
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class Solution:
def countBits(self, n: int) -> List[int]:
#+end_src
** TODO C++
#+begin_src cpp
class Solution {
public:
vector<int> countBits(int n) {
}
};
#+end_src