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 0072. Edit Distance :medium:
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:PROPERTIES:
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:NEETCODE: [[file:../../roadmap.org::*0072. Edit Distance][Roadmap]]
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:NEETCODE: [[file:../../roadmap.org::*0072. Edit Distance][0072. Edit Distance]]
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:END:
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Given two strings ~word1~ and ~word2~, return /the minimum number of operations required to convert ~word1~ to ~word2~/.
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You have the following three operations permitted on a word:
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- Insert a character
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- Delete a character
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- Replace a character
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*Example 1:*
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#+begin_src
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Input: word1 = "horse", word2 = "ros"
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Output: 3
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Explanation:
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horse -> rorse (replace 'h' with 'r')
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rorse -> rose (remove 'r')
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rose -> ros (remove 'e')
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#+end_src
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*Example 2:*
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#+begin_src
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Input: word1 = "intention", word2 = "execution"
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Output: 5
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Explanation:
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intention -> inention (remove 't')
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inention -> enention (replace 'i' with 'e')
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enention -> exention (replace 'n' with 'x')
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exention -> exection (replace 'n' with 'c')
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exection -> execution (insert 'u')
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#+end_src
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*Constraints:*
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- ~0 <= word1.length, word2.length <= 500~
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- ~word1~ and ~word2~ consist of lowercase English letters.
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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 minDistance(self, word1: str, word2: str) -> 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 minDistance(string word1, string word2) {
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}
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};
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#+end_src
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