rUv
b4d2b7343f
fix: resolve P0 safety issues in ruvector-dither, thermorust, and exo-ai
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- Replace debug_assert with assert for bits bounds in quantize functions
- Guard ChannelDither against 0 channels and invalid bits
- Handle non-finite beta/rate in Langevin/Poisson noise (return 0)
- Remove unused itertools dependency from thermorust
- Fix partial_cmp().unwrap() NaN panics across 7 exo-ai files
- Fix SystemTime unwrap() in transfer_crdt (use unwrap_or_default)
- Fix domain ID mismatch (exo_retrieval → exo-retrieval) in orchestrator
- Update tests to match corrected domain IDs
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-02-27 16:12:45 +00:00
Claude
f48e0d0165
feat(thermorust): add thermodynamic neural-motif crate
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Implements energy-driven computation with Landauer dissipation and
Langevin/Metropolis noise. Key components:
- State: activation vector + cumulative dissipated-joules counter
- EnergyModel trait + Ising (Hopfield) + SoftSpin (double-well) Hamiltonians
- Couplings: zeros, ferromagnetic ring, Hopfield memory factories
- Params: inverse temperature β, Langevin step η, Landauer cost per irreversible flip
- step_discrete: Metropolis-Hastings spin-flip with Boltzmann acceptance
- step_continuous: overdamped Langevin (central-difference gradient + FDT noise)
- anneal_discrete / anneal_continuous: traced annealing helpers
- inject_spikes: Poisson kick noise, clamp-aware
- Metrics: magnetisation, Hopfield overlap, binary entropy, free energy, Trace
- Motifs: IsingMotif (ring, fully-connected, Hopfield), SoftSpinMotif (random)
- 19 correctness tests: energy invariants, Metropolis, Langevin, Hopfield retrieval
- 4 Criterion benchmark groups: step, 10k-anneal, Langevin, energy eval
- GitHub Actions CI: fmt + clippy + test (ubuntu/macos/windows) + bench compile
https://claude.ai/code/session_019Lt11HYsW1265X7jB7haoC
2026-02-27 14:22:44 +00:00
