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 0055. Jump Game :medium:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0055. Jump Game][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0055. Jump Game][0055. Jump Game]]
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:END:
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You are given an integer array ~nums~. You are initially positioned at the array's *first index*, and each element in the array represents your maximum jump length at that position.
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Return ~true~/ if you can reach the last index, or /~false~/ otherwise/.
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*Example 1:*
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#+begin_src
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Input: nums = [2,3,1,1,4]
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Output: true
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Explanation: Jump 1 step from index 0 to 1, then 3 steps to the last index.
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#+end_src
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*Example 2:*
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#+begin_src
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Input: nums = [3,2,1,0,4]
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Output: false
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Explanation: You will always arrive at index 3 no matter what. Its maximum jump length is 0, which makes it impossible to reach the last index.
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#+end_src
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*Constraints:*
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- ~1 <= nums.length <= 10^{4}~
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- ~0 <= nums[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 canJump(self, nums: List[int]) -> bool:
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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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bool canJump(vector<int>& nums) {
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}
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};
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#+end_src
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