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ruv
d3606d51a7
Criterion benches over the M6-audit-named heaviest hot paths: exo_time_crystal 256x128 autocorrelation, exo_ghost_hunter periodicity, sec_weapon_detect per-subcarrier Welford, med_seizure_detect clonic rhythm (medical-experimental-gated). Drives each through the public process_frame on a fixed synthetic CSI frame after warming the relevant buffers. Crate is workspace-excluded: run from the crate dir with --features std. Set lib bench=false so libtest does not intercept criterion CLI flags. HOST-MEASURED medians (Intel Core Ultra 9 285H, native --release), NOT the ESP32/WASM3 doc budget (that needs hardware): time_crystal 17.3us, ghost_hunter 1.44us, weapon 0.42us, seizure 0.10us. Closes the ADR-160 deferred 'criterion benches for process_frame budget claims' item on host. No production-code behavior change. Co-Authored-By: claude-flow <ruv@ruv.net>
75 lines
2.9 KiB
TOML
75 lines
2.9 KiB
TOML
[package]
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name = "wifi-densepose-wasm-edge"
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version = "0.3.0"
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edition = "2021"
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authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
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license = "MIT OR Apache-2.0"
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repository = "https://github.com/ruvnet/wifi-densepose"
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description = "WASM-compilable sensing algorithms for ESP32 edge deployment (ADR-040)"
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keywords = ["wifi", "wasm", "sensing", "esp32", "dsp"]
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categories = ["embedded", "wasm", "science"]
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[lib]
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crate-type = ["cdylib", "rlib"]
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# The lib's libtest harness does not understand criterion CLI flags
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# (`--warm-up-time` etc.), so exclude it from `cargo bench` — only the criterion
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# bench target below should receive bench args (ADR-163).
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bench = false
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# ADR-163: host-measured process_frame latency benches (closes the ADR-160
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# "criterion benches for process_frame budget claims" deferred item — HOST only;
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# the ESP32-S3 WASM3 budget remains unmeasured, see the bench header).
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# `std` is required (criterion is a host crate); the crate is workspace-EXCLUDED
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# so run from the crate dir: `cargo bench --features std`.
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[[bench]]
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name = "process_frame_bench"
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harness = false
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required-features = ["std"]
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[dependencies]
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# no_std math
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libm = "0.2"
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# SHA-256 for RVF build hash (optional, used by builder)
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sha2 = { version = "0.10", optional = true, default-features = false }
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[dev-dependencies]
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# Host-only latency regression benches (ADR-163). Pinned to match the rest of
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# the workspace's bench crates.
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criterion = { version = "0.5", features = ["html_reports"] }
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[features]
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default = ["default-pipeline"]
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# Enable std for testing on host + RVF builder
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std = ["sha2/std"]
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# Experimental medical skills (med_seizure_detect, med_cardiac_arrhythmia,
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# med_respiratory_distress, med_sleep_apnea, med_gait_analysis).
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#
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# ⚠️ NON-DEFAULT BY DESIGN. These modules run real DSP but are NOT validated
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# against clinical data and are NOT medical devices (ADR-160 §A1). They are
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# gated behind this feature so they cannot be silently built into a shipping
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# artifact. Build/test with:
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# cargo test -p wifi-densepose-wasm-edge --features std,medical-experimental
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medical-experimental = []
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# Include the default combined pipeline (gesture+coherence+adversarial) entry points.
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# Disable this when building standalone module binaries (ghost_hunter, etc.)
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default-pipeline = []
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# Build the standalone-bin Ghost Hunter target. Required because that binary
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# defines its own on_init / on_frame / on_timer entry points which would
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# collide with the lib's `default-pipeline` exports. Build with:
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# cargo build -p wifi-densepose-wasm-edge --bin ghost_hunter \
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# --target wasm32-unknown-unknown --release \
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# --no-default-features --features standalone-bin
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standalone-bin = []
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[[bin]]
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name = "ghost_hunter"
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path = "src/bin/ghost_hunter.rs"
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required-features = ["standalone-bin"]
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[profile.release]
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opt-level = "s" # Optimize for size
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lto = true
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codegen-units = 1
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panic = "abort"
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strip = true
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