Does this skill require manual installation of Python tools?

No, the skill utilizes uvx for one-shot execution, meaning tools like ruff and pytest can be run without being manually pre-installed in your global environment.

What is the primary benefit of using UV-DiscoHy?

It provides a significantly faster and more reliable Python development experience by utilizing the Rust-based uv toolchain for dependency management and ruff for linting.

Can I use this for non-DiscoHy Python projects?

While it includes specialized logic for DiscoHy, the core uv and ruff toolchain commands are applicable to any modern Python project using pyproject.toml.

What is a 'Thread Operad' in this context?

A Thread Operad is a mathematical structure used in the music-topos project to model topological chemputers and categorical operations with specific trits and color streams.

UV-DiscoHy Python Toolchain

Name: UV-DiscoHy Python Toolchain
Author: plurigrid

byplurigrid

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개발자 도구

Manages high-performance Python packaging and linting for the DiscoHy Thread Operad system using uv and ruff.

소개

The UV-DiscoHy skill integrates the ultra-fast uv and ruff toolchains into the DiscoHy Thread Operad development environment, replacing legacy pip and flake8 workflows. It provides a standardized framework for managing complex dependencies, performing one-shot tool execution via uvx, and enforcing strict code quality through ruff's high-speed linting and formatting. Ideal for developers working with topological chemputers and categorical logic, this skill ensures the music-topos environment remains ergonomic, toolchain-neutral, and optimized for performance-critical Python packaging.

주요 기능

Ultra-fast dependency management with uv (up to 100x faster than pip)
2 GitHub stars
Comprehensive ruff configuration for unified linting and code formatting
One-shot tool execution using uvx for linting, testing, and formatting
Standardized project structure using pyproject.toml and hatchling
Native support for DiscoHy Thread Operad variants and GF(3) conservation checks

사용 사례

Accelerating CI/CD pipelines for mathematical modeling and topological systems
Standardizing code style and quality across complex Python-based operad projects
Rapidly prototyping and testing new DiscoHy thread variants without manual environment setup

소개

주요 기능

Ultra-fast dependency management with uv (up to 100x faster than pip)
2 GitHub stars
Comprehensive ruff configuration for unified linting and code formatting
One-shot tool execution using uvx for linting, testing, and formatting
Standardized project structure using pyproject.toml and hatchling
Native support for DiscoHy Thread Operad variants and GF(3) conservation checks

사용 사례

Accelerating CI/CD pipelines for mathematical modeling and topological systems
Standardizing code style and quality across complex Python-based operad projects
Rapidly prototyping and testing new DiscoHy thread variants without manual environment setup