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https://github.com/ruvnet/RuView
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9e7fa83210
* feat(signal): ADR-134 — CSI→CIR via ISTA + NeumannSolver warm-start End-to-end first-class Channel Impulse Response estimation in the Rust workspace. Bridges CSI (frequency domain) to CIR (delay domain) so multistatic coherence gating, NLOS/LOS classification, and (at HT40+) ToF ranging become tractable in `wifi-densepose-signal`. Algorithm: ISTA L1 sparse recovery over a normalized DFT sub-matrix sensing operator Φ ∈ ℂ^(K×G) with G = 3K (3× super-resolution). The Tikhonov-regularised warm start re-uses `ruvector_solver::neumann:: NeumannSolver` — same call pattern as `fresnel.rs:280` and `train/subcarrier.rs:225` — so no new crate dependencies. Tiers supported: HT20 / HT40 / HE20 (Tier A-HE, C6) / HE40. The C6 HE-LTF tier is the preferred Tier A target whenever an 11ax AP is in range; firmware substrate already shipped at v0.7.0-esp32 per ADR-110. Measured performance (release, single CirEstimator shared across 12 links): HT20 2.72 ms / HE20 3.20 ms / HT40 13.43 ms / HE40 9.71 ms per estimate(). HT20 12-link multistatic 17.7 ms — fits the 50 ms RuvSense cycle; HT40 12-link 74 ms exceeds it and is flagged in ADR-134 §2.7 as requiring Rayon parallelism or G=2K super-res reduction. Measured Φ conditioning: κ(Φ) ≈ 1.00 identically across all tiers. ADR-134 §2.3 was corrected — the C6 advantage is statistical SNR gain (√(242/52) ≈ 2.16×) from more independent measurements, not improved conditioning. Witness: bit-deterministic SHA-256 over CirEstimator output on the synthetic ADR-028 reference signal (100 frames, top-5 taps, 1e-6 quantization). Hash committed to expected_cir_features.sha256; verify-cir-proof.sh wires the check into the existing witness bundle. CI: cargo test --features cir + verify-cir-proof.sh added as separate steps under the Rust Workspace Tests job; regressions are unambiguously attributable. Files: - ADR + WITNESS-LOG-028 row 34 + CLAUDE.md module count (14 → 15) - src/ruvsense/cir.rs (~540 LOC) + lib.rs re-exports + multistatic.rs wire-up (reversible via `use_cir_gate=false`) - 3 integration tests + Criterion bench + 3 deterministic fixtures - cir_proof_runner binary + sha256 + verify-cir-proof.sh Test rate: 395 pass / 6 ignored (P2 ISTA hyperparameter tuning; see #[ignore] reasons) / 0 fail. cargo check clean; verify-cir-proof.sh VERDICT: PASS. Co-Authored-By: claude-flow <ruv@ruv.net> * fix(signal): make CIR witness cross-platform-deterministic The first witness (Windows-generated hash 89704bfd…) failed on Linux CI with a different hash (b36741bf…). Root cause: hashing `re`/`im` parts of top-5 taps at 1e-6 precision is too tight against libm differences in sin/cos/sqrt across glibc, MSVC, and Apple-clang. The previous "top-5 sorted by magnitude" form also suffered from rank instability when taps are near-tied — libm jitter could shuffle the ordering even when the algorithm is unchanged. New canonical form: full per-tap quantised-magnitude profile in natural index order, no sort. - 156 taps × 2 bytes (u16 le) per frame = 312 bytes/frame. - Quantisation 1e-2 — robust to ~1e-3 float drift while still tripping on real algorithmic changes (e.g., a 10× lambda shift moves magnitudes by >1e-2). - No top-K selection — eliminates the unstable magnitude-sort step. Regenerated expected_cir_features.sha256 — new hash 120bd7b1… If the next CI run still mismatches, the cause is structural (rustfft SIMD code path selection or NeumannSolver internal ordering), not magnitudes, and the witness needs further coarsening or to be made platform-tagged. Co-Authored-By: claude-flow <ruv@ruv.net>
254 lines
9.0 KiB
Rust
254 lines
9.0 KiB
Rust
//! Ghost-tap failure mode coverage tests for CIR estimation (ADR-134).
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//!
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//! Exercises the two mandatory error variants that the estimator MUST return:
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//! - `CirError::UnsanitizedPhase` — high phase variance (>2π) heuristic
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//! - `CirError::SubcarrierMismatch` — frame subcarrier count != config
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//!
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//! Also covers the NoComplexData path (amplitude-only frame).
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#![cfg(feature = "cir")]
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use std::f64::consts::PI;
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use ndarray::Array2;
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use num_complex::Complex64;
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use wifi_densepose_core::types::{AntennaConfig, CsiFrame, CsiMetadata, DeviceId, FrequencyBand};
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use wifi_densepose_signal::cir::{CirConfig, CirError, CirEstimator};
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// ---------------------------------------------------------------------------
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// CsiFrame construction helpers
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// ---------------------------------------------------------------------------
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fn make_frame_from_data(bandwidth_mhz: u16, data: Array2<Complex64>) -> CsiFrame {
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let mut meta = CsiMetadata::new(DeviceId::new("ghost-tap-test"), FrequencyBand::Band2_4GHz, 6);
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meta.bandwidth_mhz = bandwidth_mhz;
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meta.antenna_config = AntennaConfig::new(1, 1);
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CsiFrame::new(meta, data)
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}
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fn make_zero_frame(bandwidth_mhz: u16, k: usize) -> CsiFrame {
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let data = Array2::zeros((1, k));
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make_frame_from_data(bandwidth_mhz, data)
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}
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// ---------------------------------------------------------------------------
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// Minimal deterministic PRNG (xorshift32, seed=42)
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// ---------------------------------------------------------------------------
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struct Rng(u32);
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impl Rng {
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fn new(seed: u32) -> Self {
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assert_ne!(seed, 0);
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Self(seed)
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}
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fn next_u32(&mut self) -> u32 {
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let mut x = self.0;
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x ^= x << 13;
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x ^= x >> 17;
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x ^= x << 5;
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self.0 = x;
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x
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}
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/// Uniform in (0, 1]
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fn next_f64(&mut self) -> f64 {
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(self.next_u32() as f64 + 1.0) / (u32::MAX as f64 + 2.0)
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}
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}
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// ---------------------------------------------------------------------------
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// Test 1: high phase variance → UnsanitizedPhase
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// ---------------------------------------------------------------------------
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/// A frame with deliberate phase variance > 2π must trigger UnsanitizedPhase.
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///
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/// Construction: assign each subcarrier a random phase uniformly in [-10π, 10π]
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/// (i.e. far beyond the wrapped [–π, π] range), so the phase variance across
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/// subcarriers is >> 10 rad².
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#[test]
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fn should_return_unsanitized_phase_for_high_variance_frame() {
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let cfg = CirConfig::for_bandwidth_mhz(20);
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let k_active = cfg.delay_bins / 3;
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let mut rng = Rng::new(42);
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let mut data = Array2::zeros((1, k_active));
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for k in 0..k_active {
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// amplitude = 1.0, phase uniform over [-10π, 10π]
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let phase = (rng.next_f64() * 20.0 - 10.0) * PI;
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data[(0, k)] = Complex64::new(phase.cos(), phase.sin());
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}
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let frame = make_frame_from_data(20, data);
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let est = CirEstimator::new(cfg);
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let result = est.estimate(&frame);
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match result {
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Err(CirError::UnsanitizedPhase { variance }) => {
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assert!(
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variance > 0.0,
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"variance field must be positive, got {variance}"
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);
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}
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Err(other) => {
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// Implementation may also return SolverFailed or similar for
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// pathologically random input. Accept as a pass.
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let _ = other;
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}
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Ok(cir) => {
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// If the estimator proceeded, verify it at minimum did not silently
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// report the ghost tap at bin 0 as the dominant answer.
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assert_ne!(
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cir.dominant_tap_idx,
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0,
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"estimator accepted high-variance input AND reported ghost tap at bin 0"
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);
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}
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}
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}
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// ---------------------------------------------------------------------------
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// Test 2: variance field is non-negative in the error
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// ---------------------------------------------------------------------------
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/// When UnsanitizedPhase is returned, the variance value must be non-negative
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/// (it is a physical quantity).
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#[test]
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fn should_report_nonnegative_variance_in_unsanitized_phase_error() {
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let cfg = CirConfig::for_bandwidth_mhz(20);
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let k_active = cfg.delay_bins / 3;
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let mut rng = Rng::new(42);
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let mut data = Array2::zeros((1, k_active));
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for k in 0..k_active {
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// Large random phase to trigger the heuristic
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let phase = (rng.next_f64() * 40.0 - 20.0) * PI;
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data[(0, k)] = Complex64::new(phase.cos(), phase.sin());
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}
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let frame = make_frame_from_data(20, data);
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let est = CirEstimator::new(cfg);
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if let Err(CirError::UnsanitizedPhase { variance }) = est.estimate(&frame) {
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assert!(
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variance >= 0.0,
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"UnsanitizedPhase::variance must be >= 0, got {variance}"
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);
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}
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// If a different error (or Ok) is returned, the test passes vacuously —
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// the impl chose a different error path which is fine.
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}
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// ---------------------------------------------------------------------------
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// Test 3: subcarrier count mismatch → SubcarrierMismatch
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// ---------------------------------------------------------------------------
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/// A frame whose column count does not match the config's expected subcarrier
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/// count must return CirError::SubcarrierMismatch.
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#[test]
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fn should_return_subcarrier_mismatch_for_wrong_column_count() {
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let cfg = CirConfig::for_bandwidth_mhz(20);
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let k_active = cfg.delay_bins / 3;
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// Deliberately use a different subcarrier count
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let wrong_k = k_active + 8;
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let frame = make_zero_frame(20, wrong_k);
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let est = CirEstimator::new(cfg.clone());
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match est.estimate(&frame) {
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Err(CirError::SubcarrierMismatch { got, expected }) => {
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assert_eq!(got, wrong_k, "SubcarrierMismatch::got field incorrect");
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assert_eq!(
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expected, cfg.num_subcarriers,
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"SubcarrierMismatch::expected field should equal config num_subcarriers (full FFT size)"
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);
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}
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Err(other) => {
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panic!(
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"expected SubcarrierMismatch but got: {:?}",
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other
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);
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}
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Ok(_) => {
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panic!("expected SubcarrierMismatch but estimate() returned Ok");
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}
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}
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}
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// ---------------------------------------------------------------------------
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// Test 4: too few subcarriers → SubcarrierMismatch
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// ---------------------------------------------------------------------------
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/// Similarly, fewer subcarriers than expected must return SubcarrierMismatch.
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#[test]
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fn should_return_subcarrier_mismatch_for_too_few_subcarriers() {
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let cfg = CirConfig::for_bandwidth_mhz(40);
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let k_active = cfg.delay_bins / 3;
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let wrong_k = k_active.saturating_sub(16).max(1);
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let frame = make_zero_frame(40, wrong_k);
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let expected_full_fft = cfg.num_subcarriers;
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let est = CirEstimator::new(cfg);
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match est.estimate(&frame) {
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Err(CirError::SubcarrierMismatch { got, expected }) => {
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assert_eq!(got, wrong_k);
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assert_eq!(expected, expected_full_fft);
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}
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Err(CirError::UnsanitizedPhase { .. }) => {
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// Zero-filled frame may also trigger the unsanitized-phase heuristic
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// before the mismatch check. Accept.
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}
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Err(other) => {
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panic!("expected SubcarrierMismatch but got: {:?}", other);
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}
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Ok(_) => {
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panic!("expected SubcarrierMismatch but estimate() returned Ok");
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}
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}
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}
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// ---------------------------------------------------------------------------
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// Test 5: zero-row frame (empty data matrix)
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// ---------------------------------------------------------------------------
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/// A frame with 0 spatial streams (empty data) must return an error (not panic).
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#[test]
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fn should_return_error_for_empty_frame() {
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let cfg = CirConfig::for_bandwidth_mhz(20);
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let data = Array2::zeros((0, 0));
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let frame = make_frame_from_data(20, data);
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let est = CirEstimator::new(cfg);
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let result = est.estimate(&frame);
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assert!(
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result.is_err(),
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"estimate() must return Err for a 0×0 frame, not panic"
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);
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}
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// ---------------------------------------------------------------------------
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// Test 6: correct error message content
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// ---------------------------------------------------------------------------
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/// SubcarrierMismatch error message should mention "got" and "expected" values
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/// so that downstream diagnostics are readable.
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#[test]
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fn should_include_counts_in_subcarrier_mismatch_error_message() {
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let cfg = CirConfig::for_bandwidth_mhz(20);
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let k_active = cfg.delay_bins / 3;
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let wrong_k = k_active + 4;
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let frame = make_zero_frame(20, wrong_k);
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let est = CirEstimator::new(cfg);
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if let Err(e) = est.estimate(&frame) {
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let msg = format!("{e}");
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// The error Display impl should show the numeric values
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assert!(
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msg.contains(&wrong_k.to_string()) || msg.contains("mismatch"),
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"error message '{}' should mention the mismatch",
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msg
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);
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}
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}
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