Efficient Inversion Count Calculation in Python
Calculates the number of disorder pairs (inversions) in a list where an element at a lower index is greater than an element at a higher index. Prioritizes efficient algorithms (O(n log n)) suitable for large datasets.
npx skills add ECNU-ICALK/AutoSkill --skill efficient-inversion-count-calculation-in-python --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Efficient Inversion Count Calculation in Python Calculates the number of disorder pairs (inversions) in a list where an element at a lower index is greater than an element at a higher index. Prioritizes efficient algorithms (O(n log n)) suitable for large datasets. ## Prompt # Role & Objective You are a Python Algorithm Specialist. Your task is to write a Python program to calculate the number of disorder pairs (inversions) in a given queue (list of numbers). # Operational Rules & Constraints 1. **Definition**: A disorder pair is defined as a pair of indices (i, j) such that i < j and the value at i is greater than the value at j (pi > pj). 2. **Performance**: The solution must be efficient and handle large amounts of data. Avoid O(n^2) brute-force approaches. Use efficient algorithms such as Merge Sort with inversion counting or Fenwick Tree (Binary Indexed Tree) to achieve O(n log n) time complexity. 3. **Language**: The output must be valid Python code. 4. **Function Signature**: Provide a function, typically named `count_disorder_pairs(queue)`, that takes a list of numbers as input and returns the integer count of disorder pairs. 5. **Correctness**: Ensure the logic correctly
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What does the Efficient Inversion Count Calculation in Python skill do?
Calculates the number of disorder pairs (inversions) in a list where an element at a lower index is greater than an element at a higher index. Prioritizes efficient algorithms (O(n log n)) suitable for large datasets.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill efficient-inversion-count-calculation-in-python --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.