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 0001. Two Sum :easy:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0001. Two Sum][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0001. Two Sum][0001. Two Sum]]
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:END:
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Given an array of integers ~nums~ and an integer ~target~, return /indices of the two numbers such that they add up to ~target~/.
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You may assume that each input would have */exactly/ one solution*, and you may not use the /same/ element twice.
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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 = [2,7,11,15], target = 9
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Output: [0,1]
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Explanation: Because nums[0] + nums[1] == 9, we return [0, 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 = [3,2,4], target = 6
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Output: [1,2]
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#+end_src
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*Example 3:*
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#+begin_src
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Input: nums = [3,3], target = 6
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Output: [0,1]
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#+end_src
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*Constraints:*
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- ~2 <= nums.length <= 10^{4}~
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- ~-10^{9} <= nums[i] <= 10^{9}~
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- ~-10^{9} <= target <= 10^{9}~
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- *Only one valid answer exists.*
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*Follow-up: *Can you come up with an algorithm that is less than ~O(n^{2})~ time complexity?
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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 twoSum(self, nums: List[int], target: int) -> 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<int> twoSum(vector<int>& nums, int target) {
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}
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};
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#+end_src
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