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 0062. Unique Paths :medium:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0062. Unique Paths][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0062. Unique Paths][0062. Unique Paths]]
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:END:
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There is a robot on an ~m x n~ grid. The robot is initially located at the *top-left corner* (i.e., ~grid[0][0]~). The robot tries to move to the *bottom-right corner* (i.e., ~grid[m - 1][n - 1]~). The robot can only move either down or right at any point in time.
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Given the two integers ~m~ and ~n~, return /the number of possible unique paths that the robot can take to reach the bottom-right corner/.
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The test cases are generated so that the answer will be less than or equal to ~2 * 10^{9}~.
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*Example 1:*
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#+begin_src
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Input: m = 3, n = 7
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Output: 28
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#+end_src
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*Example 2:*
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#+begin_src
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Input: m = 3, n = 2
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Output: 3
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Explanation: From the top-left corner, there are a total of 3 ways to reach the bottom-right corner:
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1. Right -> Down -> Down
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2. Down -> Down -> Right
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3. Down -> Right -> Down
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#+end_src
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*Constraints:*
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- ~1 <= m, n <= 100~
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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 uniquePaths(self, m: int, 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 uniquePaths(int m, int n) {
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}
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};
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#+end_src
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