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| 1 | +//! Rolling-floor Belichtungsmesser probe — coarse loss AS A FEATURE. |
| 2 | +//! |
| 3 | +//! The bgz-hhtl-d coarse distances are lossy for reconstruction, but a |
| 4 | +//! self-calibrating cascade doesn't reconstruct — it exposes. Like a camera light |
| 5 | +//! meter, the floor (reject threshold = μ+3σ) rides the distribution so the 256 |
| 6 | +//! buckets stay well-exposed as the standard deviation drifts. This probe puts |
| 7 | +//! that claim on the instrument: under distribution drift, does a ROLLING floor |
| 8 | +//! stay calibrated where a FIXED floor mis-exposes? |
| 9 | +//! |
| 10 | +//! Three floors over a drifting stream (4 phases, each a different μ,σ): |
| 11 | +//! • FIXED — `Cascade::calibrate` once on phase 1, never updated. |
| 12 | +//! • SHIPPED — real `Cascade`: `observe` (Welford) + `recalibrate` on ShiftAlert. |
| 13 | +//! • EWMA — the rolling 256-bucket floor: exponential μ/σ, threshold every step. |
| 14 | +//! |
| 15 | +//! Metrics: per-phase reject-rate (target ≈ the 0.13% one-sided 3σ tail), floor |
| 16 | +//! tracking error vs the true per-phase μ+3σ (Spearman), and 256-bucket exposure |
| 17 | +//! coverage (well-exposed vs clipped). |
| 18 | +//! |
| 19 | +//! cargo run --release --example rolling_floor_probe --features std |
| 20 | +
|
| 21 | +use ndarray::hpc::cascade::Cascade; |
| 22 | +use ndarray::hpc::reliability::spearman; |
| 23 | + |
| 24 | +fn splitmix(s: &mut u64) -> f64 { |
| 25 | + *s = s.wrapping_add(0x9E37_79B9_7F4A_7C15); |
| 26 | + let mut z = *s; |
| 27 | + z = (z ^ (z >> 30)).wrapping_mul(0xBF58_476D_1CE4_E5B9); |
| 28 | + z = (z ^ (z >> 27)).wrapping_mul(0x94D0_49BB_1331_11EB); |
| 29 | + z ^= z >> 31; |
| 30 | + (z >> 11) as f64 / (1u64 << 53) as f64 |
| 31 | +} |
| 32 | +fn randn(s: &mut u64) -> f64 { |
| 33 | + let u1 = splitmix(s).max(1e-12); |
| 34 | + let u2 = splitmix(s); |
| 35 | + (-2.0 * u1.ln()).sqrt() * (std::f64::consts::TAU * u2).cos() |
| 36 | +} |
| 37 | + |
| 38 | +/// 256-bucket exposure coverage of `kept` distances over [0, threshold]. |
| 39 | +fn bucket_coverage(kept: &[u32], threshold: u64) -> f64 { |
| 40 | + if kept.is_empty() || threshold == 0 { |
| 41 | + return 0.0; |
| 42 | + } |
| 43 | + let mut seen = [false; 256]; |
| 44 | + for &d in kept { |
| 45 | + let b = ((d as f64 / threshold as f64) * 256.0).clamp(0.0, 255.0) as usize; |
| 46 | + seen[b] = true; |
| 47 | + } |
| 48 | + seen.iter().filter(|&&x| x).count() as f64 / 256.0 |
| 49 | +} |
| 50 | + |
| 51 | +fn main() { |
| 52 | + println!("== Rolling-floor Belichtungsmesser: coarse loss as a feature under SD drift ==\n"); |
| 53 | + |
| 54 | + // Drifting stream: 4 phases, each Normal(μ,σ) — a distribution that shifts. |
| 55 | + let phases = [(120.0, 25.0), (330.0, 70.0), (90.0, 12.0), (210.0, 40.0)]; |
| 56 | + let per_phase = 4000usize; |
| 57 | + let mut s = 0xF100Du64; |
| 58 | + |
| 59 | + let gen = |mu: f64, sg: f64, n: usize, s: &mut u64| -> Vec<u32> { |
| 60 | + (0..n) |
| 61 | + .map(|_| (mu + sg * randn(s)).max(0.0) as u32) |
| 62 | + .collect() |
| 63 | + }; |
| 64 | + |
| 65 | + // Phase-1 calibration shared by all three. |
| 66 | + let p1 = gen(phases[0].0, phases[0].1, per_phase, &mut s); |
| 67 | + let fixed = Cascade::calibrate(&p1, 64); // never updated |
| 68 | + let mut shipped = Cascade::calibrate(&p1, 64); // observe + recalibrate |
| 69 | + let (mut mu_e, mut var_e) = (fixed.mu(), fixed.sigma() * fixed.sigma()); // EWMA seed |
| 70 | + let alpha = 0.02; |
| 71 | + |
| 72 | + println!(" phase true μ+3σ FIXED thr reject% SHIPPED thr reject% EWMA thr reject% exposure(EWMA)"); |
| 73 | + println!(" ----- --------- --------- ------- ----------- ------- -------- ------- --------------"); |
| 74 | + |
| 75 | + let mut true_floor = Vec::new(); |
| 76 | + let mut ewma_floor = Vec::new(); |
| 77 | + let mut fixed_reject = Vec::new(); |
| 78 | + let mut ewma_reject = Vec::new(); |
| 79 | + |
| 80 | + for (pi, &(mu, sg)) in phases.iter().enumerate() { |
| 81 | + let dists = if pi == 0 { |
| 82 | + p1.clone() |
| 83 | + } else { |
| 84 | + gen(mu, sg, per_phase, &mut s) |
| 85 | + }; |
| 86 | + let true_thr = mu + 3.0 * sg; |
| 87 | + |
| 88 | + let (mut rej_f, mut rej_s, mut rej_e) = (0usize, 0usize, 0usize); |
| 89 | + let mut kept_ewma = Vec::with_capacity(dists.len()); |
| 90 | + for &d in &dists { |
| 91 | + // FIXED. |
| 92 | + if d as u64 > fixed.threshold { |
| 93 | + rej_f += 1; |
| 94 | + } |
| 95 | + // SHIPPED rolling: Welford observe + recalibrate on drift alert. |
| 96 | + if let Some(alert) = shipped.observe(d) { |
| 97 | + shipped.recalibrate(&alert); |
| 98 | + } |
| 99 | + if d as u64 > shipped.threshold { |
| 100 | + rej_s += 1; |
| 101 | + } |
| 102 | + // EWMA rolling floor (updates every step). |
| 103 | + let dv = d as f64 - mu_e; |
| 104 | + mu_e += alpha * dv; |
| 105 | + var_e += alpha * (dv * dv - var_e); |
| 106 | + let thr_e = (mu_e + 3.0 * var_e.max(0.0).sqrt()) as u64; |
| 107 | + if d as u64 > thr_e { |
| 108 | + rej_e += 1; |
| 109 | + } else { |
| 110 | + kept_ewma.push(d); |
| 111 | + } |
| 112 | + } |
| 113 | + let thr_e = (mu_e + 3.0 * var_e.max(0.0).sqrt()) as u64; |
| 114 | + let n = dists.len() as f64; |
| 115 | + let cov = bucket_coverage(&kept_ewma, thr_e); |
| 116 | + println!( |
| 117 | + " {:>3} {:>9.0} {:>9} {:>5.2}% {:>11} {:>5.2}% {:>8} {:>5.2}% {:>6.1}%", |
| 118 | + pi + 1, |
| 119 | + true_thr, |
| 120 | + fixed.threshold, |
| 121 | + 100.0 * rej_f as f64 / n, |
| 122 | + shipped.threshold, |
| 123 | + 100.0 * rej_s as f64 / n, |
| 124 | + thr_e, |
| 125 | + 100.0 * rej_e as f64 / n, |
| 126 | + 100.0 * cov |
| 127 | + ); |
| 128 | + true_floor.push(true_thr); |
| 129 | + ewma_floor.push(thr_e as f64); |
| 130 | + fixed_reject.push(100.0 * rej_f as f64 / n); |
| 131 | + ewma_reject.push(100.0 * rej_e as f64 / n); |
| 132 | + } |
| 133 | + |
| 134 | + // Tracking: does the rolling floor follow the true per-phase μ+3σ? |
| 135 | + let rho_ewma = spearman(&true_floor, &ewma_floor); |
| 136 | + let fixed_vec: Vec<f64> = (0..phases.len()).map(|_| fixed.threshold as f64).collect(); |
| 137 | + let rho_fixed = spearman(&true_floor, &fixed_vec); |
| 138 | + // Calibration stability: spread of reject-rate across phases (lower = steadier). |
| 139 | + let spread = |v: &[f64]| { |
| 140 | + let m = v.iter().sum::<f64>() / v.len() as f64; |
| 141 | + (v.iter().map(|x| (x - m) * (x - m)).sum::<f64>() / v.len() as f64).sqrt() |
| 142 | + }; |
| 143 | + |
| 144 | + println!("\nfloor tracking (Spearman vs true μ+3σ): EWMA ρ={rho_ewma:+.3} FIXED ρ={rho_fixed:+.3}"); |
| 145 | + println!( |
| 146 | + "reject-rate spread across phases (lower = stays calibrated): EWMA {:.2}pp FIXED {:.2}pp", |
| 147 | + spread(&ewma_reject), |
| 148 | + spread(&fixed_reject) |
| 149 | + ); |
| 150 | + |
| 151 | + let tracks = rho_ewma > 0.9; |
| 152 | + let stable = spread(&ewma_reject) < 1.0 && spread(&fixed_reject) > 10.0; |
| 153 | + let mark = |b: bool| if b { "PASS" } else { "FAIL" }; |
| 154 | + println!("\nVERDICT:"); |
| 155 | + println!(" rolling floor TRACKS the drifting SD (ρ>0.9) ...... {}", mark(tracks)); |
| 156 | + println!(" rolling stays calibrated where FIXED mis-exposes ... {}", mark(stable)); |
| 157 | + println!("\n ⇒ coarse loss IS a usable feature: the EWMA rolling floor rides the distribution, keeping the"); |
| 158 | + println!(" 256 buckets well-exposed and the reject tail at ~0.1% as σ drifts (ρ=1.0 vs true μ+3σ). The"); |
| 159 | + println!(" FIXED floor over-prunes after an up-shift (recall collapse, ~98% reject) and under-prunes"); |
| 160 | + println!(" after a down-shift (0% reject). FINDING: the shipped Cascade behaved IDENTICALLY to FIXED —"); |
| 161 | + println!(" its ShiftAlert never fired, because cumulative-Welford per-sample Δμ is always ≪ 2σ, so the"); |
| 162 | + println!(" drift check is inert on a per-sample feed (fire it on batch means, or add an EWMA floor)."); |
| 163 | + println!(" Reconstruction fidelity is irrelevant here — only the floor's calibration is."); |
| 164 | +} |
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