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 0695. Max Area of Island :medium:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0695. Max Area of Island][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0695. Max Area of Island][0695. Max Area of Island]]
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:END:
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You are given an ~m x n~ binary matrix ~grid~. An island is a group of ~1~'s (representing land) connected *4-directionally* (horizontal or vertical.) You may assume all four edges of the grid are surrounded by water.
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The *area* of an island is the number of cells with a value ~1~ in the island.
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Return /the maximum *area* of an island in /~grid~. If there is no island, return ~0~.
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*Example 1:*
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#+begin_src
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Input: grid = [[0,0,1,0,0,0,0,1,0,0,0,0,0],[0,0,0,0,0,0,0,1,1,1,0,0,0],[0,1,1,0,1,0,0,0,0,0,0,0,0],[0,1,0,0,1,1,0,0,1,0,1,0,0],[0,1,0,0,1,1,0,0,1,1,1,0,0],[0,0,0,0,0,0,0,0,0,0,1,0,0],[0,0,0,0,0,0,0,1,1,1,0,0,0],[0,0,0,0,0,0,0,1,1,0,0,0,0]]
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Output: 6
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Explanation: The answer is not 11, because the island must be connected 4-directionally.
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#+end_src
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*Example 2:*
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#+begin_src
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Input: grid = [[0,0,0,0,0,0,0,0]]
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Output: 0
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#+end_src
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*Constraints:*
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- ~m == grid.length~
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- ~n == grid[i].length~
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- ~1 <= m, n <= 50~
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- ~grid[i][j]~ is either ~0~ or ~1~.
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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 maxAreaOfIsland(self, grid: List[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 maxAreaOfIsland(vector<vector<int>>& grid) {
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}
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};
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#+end_src
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