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 +1,57 @@
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#+PROPERTY: STUDY_DECK_02
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* TODO 0046. Permutations :medium:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0046. Permutations][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0046. Permutations][0046. Permutations]]
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:END:
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Given an array ~nums~ of distinct integers, return all the possible permutations. You can return the answer in *any order*.
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*Example 1:*
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#+begin_src
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Input: nums = [1,2,3]
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Output: [[1,2,3],[1,3,2],[2,1,3],[2,3,1],[3,1,2],[3,2,1]]
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#+end_src
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*Example 2:*
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#+begin_src
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Input: nums = [0,1]
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Output: [[0,1],[1,0]]
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#+end_src
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*Example 3:*
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#+begin_src
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Input: nums = [1]
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Output: [[1]]
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#+end_src
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*Constraints:*
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- ~1 <= nums.length <= 6~
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- ~-10 <= nums[i] <= 10~
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- All the integers of ~nums~ are *unique*.
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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 permute(self, nums: List[int]) -> List[List[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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vector<vector<int>> permute(vector<int>& nums) {
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}
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};
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#+end_src
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