mirror of
https://github.com/ruvnet/RuView
synced 2026-07-22 17:23:19 +00:00
ruv
0f405213d3
ADR-185 §4.2 pytest-benchmark micro-benchmarks + runnable examples +
README extras table for the aether/meridian/mat bindings.
- python/bench/test_bench_{aether,meridian,mat}.py — follow the existing
test_bench_vitals.py pattern (skipped by default; --benchmark-only).
- python/examples/{reid_from_csi,cross_room_calibrate,mat_triage}.py —
typed, runnable, mypy --strict clean.
- python/README.md — SOTA extras table + example links.
Measured on a RELEASE wheel (maturin develop --release --features sota),
reference machine per ADR-117 §10:
AETHER embed() mean ~150 us/window (target <2 ms) PASS
batch scaling 1/8/64: 140 / 1091 / 8509 us (linear, no O(n^2)) PASS
MERIDIAN normalize() mean ~2.2 us/frame (target <200 us) PASS
MERIDIAN encode() mean ~6.9 us (target <200 us) PASS
MAT ingest+scan_once() mean ~40 ms/256-frame (< 500 ms interval) PASS
Acceptance self-verification (ADR-185 §6), all run just now:
§6.1 default wheel 279 KB (<=5 MB); build_features has no p6-* feature PASS
§6.2 pytest tests/test_aether.py 9/9 PASS
§6.3 pytest tests/test_meridian.py 13/13 PASS
§6.4 pytest tests/test_mat.py 7/7 PASS
§6.5 benchmarks meet all targets (above) PASS
§6.6 parity harness: 3/3 SHA golden gates green (cargo test --features
sota, 6/6); CI *wiring* as a release gate is out of python/ scope PARTIAL
§6.7 SOTA accuracy bars on labeled fixtures: NOT met (no labeled
fixtures / trained models available; parity proves path-equality,
not accuracy) OPEN
§6.8 .pyi stubs present for all three; mypy --strict on the 3 examples PASS
§6.9 base wheel `import wifi_densepose.{aether,meridian,mat}` raises a
clear ImportError naming the extra PASS
No regression: 76 pre-existing tests pass on the default wheel.
Status NOT flipped to Accepted: §6.7 (accuracy bars) is unmet, §6.6 CI
wiring is pending, and the per-extra wheel-size hoists (sensing-server /
train / mat leaf crates) remain follow-ups. docs/adr/ is owned by another
agent this session, so the ADR ledger edit is deferred to that owner.
50 lines
1.6 KiB
Python
50 lines
1.6 KiB
Python
"""MAT disaster-survivor triage from CSI (ADR-185 P3, `[mat]` extra).
|
|
|
|
Ingest a CSI stream, run one detection cycle, and list detected survivors
|
|
by START triage class.
|
|
|
|
pip install wifi-densepose[mat]
|
|
python examples/mat_triage.py
|
|
|
|
Note: the stream here is synthetic (breathing-modulated) — it demonstrates
|
|
the API and pipeline, not validated detection accuracy on real rubble.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import math
|
|
from collections.abc import Iterator
|
|
|
|
from wifi_densepose.mat import DisasterConfig, DisasterResponse, DisasterType, ScanZone
|
|
|
|
|
|
def breathing_stream(
|
|
frames: int = 256, subc: int = 56, fs: float = 20.0
|
|
) -> Iterator[tuple[list[float], list[float]]]:
|
|
for t in range(frames):
|
|
tt = t / fs
|
|
breath = 2.0 * math.sin(2 * math.pi * 0.3 * tt)
|
|
amp = [10.0 + 0.05 * k + breath for k in range(subc)]
|
|
phase = [0.01 * k + 0.1 * math.sin(2 * math.pi * 0.3 * tt) for k in range(subc)]
|
|
yield amp, phase
|
|
|
|
|
|
def main() -> None:
|
|
cfg = DisasterConfig(DisasterType.Earthquake, sensitivity=0.9, confidence_threshold=0.1)
|
|
resp = DisasterResponse(cfg)
|
|
resp.initialize_event(0.0, 0.0, "Collapsed Building A")
|
|
resp.add_zone(ScanZone.rectangle("North Wing", 0.0, 0.0, 50.0, 30.0))
|
|
|
|
for amp, phase in breathing_stream():
|
|
resp.push_csi_data(amp, phase)
|
|
resp.scan_once()
|
|
|
|
survivors = resp.survivors()
|
|
print(f"detected {len(survivors)} survivor(s)")
|
|
for s in survivors:
|
|
print(f" {s.id[:8]} triage={s.triage_status} confidence={s.confidence:.3f}")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|