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.
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#+PROPERTY: STUDY_DECK_02
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* TODO 0191. Number of 1 Bits :easy:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0191. Number of 1 Bits][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0191. Number of 1 Bits][0191. Number of 1 Bits]]
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:END:
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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).
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*Example 1:*
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*Input:* n = 11
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*Output:* 3
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*Explanation:*
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The input binary string *1011* has a total of three set bits.
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*Example 2:*
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*Input:* n = 128
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*Output:* 1
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*Explanation:*
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The input binary string *10000000* has a total of one set bit.
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*Example 3:*
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*Input:* n = 2147483645
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*Output:* 30
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*Explanation:*
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The input binary string *1111111111111111111111111111101* has a total of thirty set bits.
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*Constraints:*
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- ~1 <= n <= 2^{31} - 1~
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*Follow up:* If this function is called many times, how would you optimize it?
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** TODO Approach
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Write your approach here.
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** TODO Python
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#+begin_src python
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class Solution:
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def hammingWeight(self, n: int) -> int:
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#+end_src
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** TODO C++
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#+begin_src cpp
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class Solution {
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public:
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int hammingWeight(int n) {
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}
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};
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#+end_src
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