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 0191. Number of 1 Bits :easy:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0191. Number of 1 Bits][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0191. Number of 1 Bits][0191. Number of 1 Bits]]
:END:
Given a positive integer ~n~, write a function that returns the number of set bits in its binary representation (also known as the Hamming weight).
*Example 1:*
*Input:* n = 11
*Output:* 3
*Explanation:*
The input binary string *1011* has a total of three set bits.
*Example 2:*
*Input:* n = 128
*Output:* 1
*Explanation:*
The input binary string *10000000* has a total of one set bit.
*Example 3:*
*Input:* n = 2147483645
*Output:* 30
*Explanation:*
The input binary string *1111111111111111111111111111101* has a total of thirty set bits.
*Constraints:*
- ~1 <= n <= 2^{31} - 1~
*Follow up:* If this function is called many times, how would you optimize it?
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class Solution:
def hammingWeight(self, n: int) -> int:
#+end_src
** TODO C++
#+begin_src cpp
class Solution {
public:
int hammingWeight(int n) {
}
};
#+end_src