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