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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@@ -1,18 +1,53 @@
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#+PROPERTY: STUDY_DECK_02
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* TODO 0042. Trapping Rain Water :hard:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0042. Trapping Rain Water][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0042. Trapping Rain Water][0042. Trapping Rain Water]]
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:END:
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Given ~n~ non-negative integers representing an elevation map where the width of each bar is ~1~, compute how much water it can trap after raining.
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*Example 1:*
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#+begin_src
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Input: height = [0,1,0,2,1,0,1,3,2,1,2,1]
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Output: 6
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Explanation: The above elevation map (black section) is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped.
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#+end_src
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*Example 2:*
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#+begin_src
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Input: height = [4,2,0,3,2,5]
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Output: 9
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#+end_src
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*Constraints:*
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- ~n == height.length~
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- ~1 <= n <= 2 * 10^{4}~
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- ~0 <= height[i] <= 10^{5}~
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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 trap(self, height: List[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 trap(vector<int>& height) {
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}
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};
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#+end_src
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