19 lines
835 B
Markdown
19 lines
835 B
Markdown
# CatOpt: Category-Theoretic Compositional Optimization (MVP)
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This repository hosts a minimal MVP of CatOpt to verify packaging, imports,
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and a tiny API surface used by the test suite. The real project aims to provide
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a privacy-preserving, compositional distributed optimization framework built on
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category-theory abstractions. This readme documents the current MVP scope and
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how to extend it.
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- MVP surface: a simple add(a, b) function to validate packaging and imports.
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- Packaging: aligned with pyproject.toml, using setuptools to build a wheel.
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- Extensibility: planned steps include a DSL for local problems, data contracts,
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an ADMM-like solver kernel, and adapters for edge devices.
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Usage
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- Run tests and build: ./test.sh
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- Import in Python:
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from catopt_category_theoretic_compositional import add
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assert add(2, 3) == 5
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