[package]
name = "ruview-gamma"
version.workspace = true
edition.workspace = true
authors.workspace = true
license.workspace = true
description = "Adaptive Gamma Entrainment (ADR-250) — governed, deterministic, safety-constrained personalization of 40 Hz-prior sensory stimulation (RuView sensing + RuVector response modeling + RuFlo audit). Research platform, not a medical device."
repository.workspace = true
keywords = ["gamma", "entrainment", "neuromodulation", "bayesian-optimization", "research"]
categories = ["science", "simulation"]
readme = "README.md"
# Research platform. Publishing intentionally disabled: this crate touches a
# safety-critical, clinical-adjacent domain (ADR-250 §12). Flip to true only
# after safety + claim-discipline sign-off.
publish = false

[lib]
# rlib for native workspace linking; cdylib so the deterministic core can be
# wrapped for a browser/edge dashboard later (same posture as nvsim).
crate-type = ["cdylib", "rlib"]

# `ruview-gamma` is a standalone leaf crate with NO internal RuView deps — the
# governed software core (optimizer, safety envelope, RuVector update logic,
# session witness) must be testable and replayable bit-exactly before any
# hardware actuation or human exposure. Hardware/RF/EEG adapters land behind
# feature flags after the core ships (ADR-250 §21, Milestones 2–4).
[dependencies]
serde = { workspace = true }
serde_json = { workspace = true }
thiserror = { workspace = true }

# Deterministic ChaCha20 PRNG: same (person, state, stimulus, seed) yields
# byte-identical synthetic responses across runs and machines — the
# reproducibility commitment in ADR-250 §11. default-features off drops the
# getrandom OS-entropy path; all seeds are caller-supplied u64.
rand = { version = "0.8", default-features = false }
rand_chacha = { version = "0.3", default-features = false }

# SHA-256 session witness: hash(protocol, model, device, stimulus, sensors,
# response, safety) — the RuFlo reproducibility trail (ADR-250 §11).
sha2 = { workspace = true }

[dev-dependencies]
approx = "0.5"
criterion = { workspace = true }

[[bench]]
name = "optimizer_bench"
harness = false