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--- |
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license: mit |
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tags: |
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- syf |
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- reference-implementation |
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- specification |
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- verification |
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- deterministic |
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- invariant |
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--- |
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# SYF‑Minimal |
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Minimal, non‑canonical reference implementation of the Systemic Fire (SYF) invariant. |
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## Related Repositories |
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- **SYF‑Core — Canonical law (immutable)** |
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https://github.com/AnathemaOfficial/SYF-Core |
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- **SYF‑Lab — Experimental and observational framework** |
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https://github.com/AnathemaOfficial/SYF-Lab |
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## Status |
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- Non‑canonical |
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- Non‑normative |
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- Reference / verification only |
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- Not a machine learning model |
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- Not intended for deployment or inference |
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This repository does **not** define, modify, or extend the SYF law. |
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Any discrepancy with SYF‑Core must be treated as an implementation error. |
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## Purpose |
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- Demonstrate deterministic computation of the invariant |
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- Provide minimal reference code and test vectors |
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- Enable blind analysis and external verification |
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## Law |
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\[ |
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R = \frac{F \times E}{K} |
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\] |
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### Constraints enforced by the reference implementations |
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- \(F \ge 0\) |
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- \(0 \le E \le 1\) |
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- \(K > 0\) |
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Inputs outside this domain must be rejected (error/exception). |
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No clamping. |
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Numerical tolerance, if any, is implementation‑defined. |
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## Layout |
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``` |
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syf-minimal/ |
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├── README.md |
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├── python/ |
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│ └── syf_core.py |
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├── rust/ |
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│ └── lib.rs |
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├── notebook/ |
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│ └── syf_demo.ipynb |
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├── HOW_TO_DERIVE_F_E.md |
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└── TEST_VECTORS.md |
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``` |
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## Machine‑Facing Only |
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This project is intended for machines, not humans. |
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No governance. No optimization. No feedback. |
