Upsonic Server able to create documentations and keeping up to date. We have a pipeline mechanism in the backside. Thanks to our optimizations, it also work in with local models.

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Sections

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Intro

TL;DR: This feature analyzes Python code, understands its content, and identifies key points to create a concise, four-sentence TL;DR summary. The process includes reading and understanding the content, focusing on main ideas, and returning a clear, concise summary without unnecessary details.

Summary: This feature creates an eight-sentence summary of Python functions, focusing on the function’s purpose, core logic, key algorithms or decisions, and any side effects. It analyzes the code to provide a clear and concise overview, ensuring users quickly understand essential aspects without needing to dive deep into the code.

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Time Complexity

Big-O Notation Generation: Our pipeline analyzes Python code by identifying input size, breaking down function components, and calculating the time complexity for each part. It then combines these complexities to generate an accurate Big-O notation.

Explanation of Big-O Result: The pipeline provides a brief, clear explanation of the computed Big-O notation, helping users understand the efficiency and scalability of their code at a glance.

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