wifi-densepose-core
                         (types, traits, errors)
                                  |
              +-------------------+-------------------+
              |                   |                   |
    wifi-densepose-signal   wifi-densepose-nn   wifi-densepose-hardware
    (CSI processing)        (inference)         (ESP32, Intel 5300)
    + ruvector-mincut       + ONNX Runtime          |
    + ruvector-attn-mincut  + PyTorch (tch)   wifi-densepose-vitals
    + ruvector-attention    + Candle          (breathing, heart rate)
    + ruvector-solver            |
              |                  |             wifi-densepose-wifiscan
              +--------+---------+            (BSSID scanning)
                       |
          +------------+------------+
          |                         |
  wifi-densepose-train    wifi-densepose-mat
  (training pipeline)     (disaster response)
  + ALL 5 ruvector        + ruvector-solver
                          + ruvector-temporal-tensor
                                |
              +-----------------+-----------------+
              |                 |                 |
    wifi-densepose-api  wifi-densepose-wasm  wifi-densepose-cli
    (REST/WS)           (browser WASM)       (CLI tool)
              |
    wifi-densepose-sensing-server
    (Axum + WebSocket)

use wifi_densepose_core::{CsiFrame, CsiMetadata, SignalProcessor};
use wifi_densepose_signal::{CsiProcessor, CsiProcessorConfig};

// Configure the CSI processor
let config = CsiProcessorConfig::default();
let processor = CsiProcessor::new(config);

// Process a CSI frame
let frame = CsiFrame { /* ... */ };
let processed = processor.process(&frame)?;

use wifi_densepose_vitals::{
    CsiVitalPreprocessor, BreathingExtractor, HeartRateExtractor,
    VitalAnomalyDetector,
};

let mut preprocessor = CsiVitalPreprocessor::new(56); // 56 subcarriers
let mut breathing = BreathingExtractor::new(100.0);    // 100 Hz sample rate
let mut heartrate = HeartRateExtractor::new(100.0);

// Feed CSI frames and extract vitals
for frame in csi_stream {
    let residuals = preprocessor.update(&frame.amplitudes);
    if let Some(bpm) = breathing.push_residuals(&residuals) {
        println!("Breathing: {:.1} BPM", bpm);
    }
}

use wifi_densepose_mat::{DisasterResponse, DisasterConfig, DisasterType};

let config = DisasterConfig {
    disaster_type: DisasterType::Earthquake,
    max_scan_zones: 16,
    ..Default::default()
};

let mut responder = DisasterResponse::new(config);
responder.add_scan_zone(zone)?;
responder.start_continuous_scan().await?;

use wifi_densepose_hardware::{Esp32CsiParser, CsiFrame};

let parser = Esp32CsiParser::new();
let raw_bytes: &[u8] = /* UDP packet from ESP32 */;
let frame: CsiFrame = parser.parse(raw_bytes)?;
println!("RSSI: {} dBm, {} subcarriers", frame.metadata.rssi, frame.subcarriers.len());

# Check training crate (no GPU needed)
cargo check -p wifi-densepose-train --no-default-features

# Run training with GPU (requires tch/libtorch)
cargo run -p wifi-densepose-train --features tch-backend --bin train -- \
    --config training.toml --dataset /path/to/mmfi

# Verify deterministic training proof
cargo run -p wifi-densepose-train --features tch-backend --bin verify-training

# Clone the repository
git clone https://github.com/ruvnet/wifi-densepose.git
cd wifi-densepose/rust-port/wifi-densepose-rs

# Check workspace (no GPU dependencies)
cargo check --workspace --no-default-features

# Run all tests
cargo test --workspace --no-default-features

# Build release
cargo build --release --workspace

# Unit tests (all crates)
cargo test --workspace --no-default-features

# Signal processing benchmarks
cargo bench -p wifi-densepose-signal

# Training benchmarks
cargo bench -p wifi-densepose-train --no-default-features

# Detection benchmarks
cargo bench -p wifi-densepose-mat