catopt-grid-category-theoretic-compositi (0.1.1)
Published 2026-04-20 15:03:39 +00:00 by forgeadmin
Installation
pip install --index-url About this package
Category-Theoretic Compositional Optimizer for Cross-Domain, Privacy-Preserving Distributed Edge Meshes (MVP)
CatOpt-Grid
CatOpt-Grid is a modular, open-source framework that expresses distributed optimization problems across heterogeneous edge devices in a category-theory-inspired formalism. This repository contains a minimal, production-ready skeleton to bootstrap a Cross-Domain, Privacy-Preserving Distributed Edge Mesh MVP.
What you’ll find here
- Core primitives: LocalProblem (Objects), SharedVariables/DualVariables (Morphisms), adapters (Functors)
- Lightweight ADMM-like solver (ADMM-lite) designed for delta-sync and offline-first operation
- A tiny DSL scaffold for cross-domain adapters and a registry for future GoC (Graph of Contracts)
- Minimal, testable story with two toy adapters and a couple of unit tests
- Packaging scaffolding to ensure python packaging via pyproject.toml
Contributing
- This is a stepwise MVP: start with the core solver and add adapters and governance in future iterations.
- Tests live under tests/. Run with ./test.sh after dependencies are in place.
See the tests for usage examples and expected behavior.
Requirements
Requires Python: >=3.8