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ruvnet--RuView/v2/crates/ruview-unified/Cargo.toml
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rUv 2e018f4f19 feat(ruview-unified): Unified RF spatial world model — ADR-273..282 (#1437)
Native frame contract, universal RF encoder, RF-aware Gaussian spatial memory, physics-guided synthetic RF worlds, edge sensing control plane, BLE-CS + factorized pose. All 10 ADRs (273-282) fully implemented and tested (99 tests); ADR-278 (radar inverse rendering) honestly gated with zero code as a future research program.

Deep-reviewed and hardware-tested against a live ESP32-C6 CSI node before merge: fixed a reachable panic, a silent NaN-corruption path, a cross-entity Gaussian conflation bug, and a wrong-center-frequency bug in the WiFi adapter (confirmed live: was misreporting channel 4 as 2437 MHz, now correctly reports 2427 MHz matching the hardware parser exactly). Added a standing hardware-in-the-loop test (examples/esp32_live_hardware_test.rs). Also fixed unrelated pre-existing issues surfaced during validation (wifi-densepose-core clippy warnings, a ruview-auth Windows build break, a sensing-server test flake).

Full review: https://gist.github.com/ruvnet/89795f3c4b8ea166cff5ac35ae4c7651
2026-07-26 14:37:56 -07:00

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2.0 KiB
TOML

[package]
name = "ruview-unified"
description = "Unified RF spatial world model (ADR-273): canonical RF tensor + hardware adapters, universal RF foundation encoder, RF-aware Gaussian spatial memory, physics-guided synthetic RF worlds, and the edge sensing control plane"
version.workspace = true
edition.workspace = true
authors.workspace = true
license.workspace = true
repository.workspace = true
documentation.workspace = true
keywords = ["wifi", "csi", "rf-sensing", "gaussian-splatting", "world-model"]
categories = ["science", "simulation"]
# `ruview-unified` is deliberately a *thin-dependency* crate: pure-Rust math,
# deterministic ChaCha20 randomness (nvsim pattern — same seed ⇒ byte-identical
# output on every machine), and a single internal dependency on
# `wifi-densepose-core` so the WiFi adapter consumes the real `CsiFrame`
# boundary type instead of a parallel invention. No GPU, no ONNX, no tokio.
[dependencies]
wifi-densepose-core = { workspace = true }
ndarray = { workspace = true }
num-complex = { workspace = true }
thiserror = { workspace = true }
serde = { workspace = true, features = ["derive"] }
# Deterministic PRNG for domain randomization + weight init (see nvsim §Pass 4
# for the rationale: default features off drops the getrandom OS-entropy path,
# keeping the crate WASM-ready and reproducible).
rand = { version = "0.8", default-features = false }
rand_chacha = { version = "0.3", default-features = false }
[dev-dependencies]
criterion = { workspace = true }
proptest = { workspace = true }
# Dev-only: bridges real ESP32 ADR-018 UDP captures (wifi-densepose-hardware's
# already-proven Esp32CsiParser) into wifi_densepose_core::CsiFrame for the
# `esp32_live_hardware_test` example. Does not affect the published dependency
# graph — the crate's real dependency stays thin-dependency (see above).
wifi-densepose-hardware = { workspace = true }
[[bench]]
name = "unified_bench"
harness = false
[lints.rust]
unsafe_code = "forbid"
missing_docs = "warn"
[lints.clippy]
all = "warn"