Lamp testbench in Rust around the HPCS 6500

lampbench station / export / label / tm30 / calibrate replace the Python
lamp_station.py, lamp_export.py, label_printer.py, tm30.py and
calibration.py that lived in HPCS6500-py. The driver is a submodule
(HPCS6500/, like mppt-testbench). Workspace crates: tm30 (TM-30-18 port of
colour-science 0.4.7), brother-ql (raster protocol, byte-identical to
brother_ql) and lamp-label (QR + ID labels for the QL-820NWB).

Bundles are byte-identical to lamp_export.py's (golden tests); the station
runs end to end in a test against the simulated instrument.

crates/tm30/tests/golden.rs

@@ -0,0 +1,235 @@
+//! Golden tests: every case in `tests/golden/*.json` was produced by the
+//! Python reference (`tools/golden.py` -> HPCS `tm30.py` -> colour-science
+//! 0.4.7). Every output field is compared; NaN (encoded as `null`) must
+//! match NaN.
+
+use std::collections::BTreeMap;
+use std::path::{Path, PathBuf};
+
+use serde_json::Value;
+
+/// Target agreement: relative difference (|a-b| / max(|a|,|b|)).
+const REL_TOL: f64 = 1e-9;
+/// Absolute floor for quantities that are naturally ~0 (Duv of Planckian
+/// sources, hue / chroma shifts close to zero), where a relative measure is
+/// meaningless. Far below any displayed precision.
+const ABS_TOL: f64 = 1e-11;
+
+fn golden_dir() -> PathBuf {
+    Path::new(env!("CARGO_MANIFEST_DIR"))
+        .join("tests")
+        .join("golden")
+}
+
+fn golden_files() -> Vec<PathBuf> {
+    let mut files: Vec<PathBuf> = std::fs::read_dir(golden_dir())
+        .expect("tests/golden exists")
+        .map(|e| e.unwrap().path())
+        .filter(|p| p.extension().is_some_and(|e| e == "json"))
+        .collect();
+    files.sort();
+    files
+}
+
+fn num(v: &Value) -> f64 {
+    match v {
+        Value::Null => f64::NAN,
+        Value::Number(n) => n.as_f64().unwrap(),
+        other => panic!("expected number or null, got {other}"),
+    }
+}
+
+fn nums(v: &Value) -> Vec<f64> {
+    v.as_array().unwrap().iter().map(num).collect()
+}
+
+#[derive(Default, Clone, Copy)]
+struct Dev {
+    max_abs: f64,
+    max_rel: f64,
+    /// Worst `min(rel / REL_TOL, abs / ABS_TOL)` (must stay <= 1).
+    worst: f64,
+    n: usize,
+}
+
+struct Checker {
+    devs: BTreeMap<&'static str, Dev>,
+    failures: Vec<String>,
+}
+
+impl Checker {
+    fn check(&mut self, case: &str, field: &'static str, expected: f64, got: f64) {
+        let dev = self.devs.entry(field).or_default();
+        dev.n += 1;
+        if expected.is_nan() || got.is_nan() {
+            if expected.is_nan() != got.is_nan() {
+                self.failures
+                    .push(format!("{case}: {field}: expected {expected}, got {got}"));
+            }
+            return;
+        }
+        let abs = (expected - got).abs();
+        let scale = expected.abs().max(got.abs());
+        let rel = if scale > 0.0 { abs / scale } else { 0.0 };
+        dev.max_abs = dev.max_abs.max(abs);
+        dev.max_rel = dev.max_rel.max(rel);
+        let score = (rel / REL_TOL).min(abs / ABS_TOL);
+        dev.worst = dev.worst.max(score);
+        if score > 1.0 {
+            self.failures.push(format!(
+                "{case}: {field}: expected {expected:e}, got {got:e} (abs {abs:e}, rel {rel:e})"
+            ));
+        }
+    }
+}
+
+#[test]
+fn golden_cases_match_python() {
+    let files = golden_files();
+    assert!(
+        files.len() >= 40,
+        "expected the golden set, found {}",
+        files.len()
+    );
+
+    let mut checker = Checker {
+        devs: BTreeMap::new(),
+        failures: Vec::new(),
+    };
+    for path in &files {
+        let doc: Value = serde_json::from_str(&std::fs::read_to_string(path).unwrap()).unwrap();
+        let case = doc["name"].as_str().unwrap().to_owned();
+        let wl = nums(&doc["wavelengths"]);
+        let values = nums(&doc["values"]);
+        let exp = &doc["expected"];
+
+        let got = tm30::compute(&wl, &values).unwrap_or_else(|e| panic!("{case}: {e}"));
+
+        checker.check(&case, "Rf", num(&exp["Rf"]), got.rf);
+        checker.check(&case, "Rg", num(&exp["Rg"]), got.rg);
+        checker.check(&case, "CCT_K", num(&exp["CCT_K"]), got.cct_k);
+        checker.check(&case, "Duv", num(&exp["Duv"]), got.duv);
+
+        let bins = exp["bins"].as_array().unwrap();
+        assert_eq!(bins.len(), tm30::N_BINS, "{case}");
+        assert_eq!(got.bins.len(), tm30::N_BINS, "{case}");
+        for (e, g) in bins.iter().zip(&got.bins) {
+            assert_eq!(e["bin"].as_u64().unwrap(), u64::from(g.bin), "{case}");
+            let c = &mut checker;
+            c.check(&case, "ref_a", num(&e["ref_a"]), g.ref_a);
+            c.check(&case, "ref_b", num(&e["ref_b"]), g.ref_b);
+            c.check(&case, "test_a", num(&e["test_a"]), g.test_a);
+            c.check(&case, "test_b", num(&e["test_b"]), g.test_b);
+            c.check(&case, "ref_a_norm", num(&e["ref_a_norm"]), g.ref_a_norm);
+            c.check(&case, "ref_b_norm", num(&e["ref_b_norm"]), g.ref_b_norm);
+            c.check(&case, "test_a_norm", num(&e["test_a_norm"]), g.test_a_norm);
+            c.check(&case, "test_b_norm", num(&e["test_b_norm"]), g.test_b_norm);
+            c.check(&case, "Rcs_pct", num(&e["Rcs_pct"]), g.rcs_pct);
+            c.check(&case, "Rhs", num(&e["Rhs"]), g.rhs);
+            c.check(&case, "Rf_h", num(&e["Rf_h"]), g.rf_h);
+        }
+    }
+
+    println!("{} golden cases", files.len());
+    println!(
+        "{:<12} {:>12} {:>12} {:>12} {:>6}",
+        "field", "max_abs", "max_rel", "worst_score", "n"
+    );
+    for (field, d) in &checker.devs {
+        println!(
+            "{field:<12} {:>12.3e} {:>12.3e} {:>12.3e} {:>6}",
+            d.max_abs, d.max_rel, d.worst, d.n
+        );
+    }
+    assert!(
+        checker.failures.is_empty(),
+        "{} mismatches:\n{}",
+        checker.failures.len(),
+        checker.failures.join("\n")
+    );
+}
+
+#[test]
+fn not_visible_error() {
+    // Entirely outside 380-780 nm.
+    let wl: Vec<f64> = (0..100).map(|i| 790.0 + 2.0 * i as f64).collect();
+    let v = vec![1.0; wl.len()];
+    let err = tm30::compute(&wl, &v).unwrap_err();
+    assert_eq!(err, tm30::Error::NotVisible);
+    assert_eq!(err.to_string(), "spectrum does not cover the visible range");
+
+    // Only 9 points inside the range (tm30.py requires at least 10).
+    let mut wl: Vec<f64> = (0..9).map(|i| 400.0 + 40.0 * i as f64).collect();
+    wl.extend((0..50).map(|i| 800.0 + i as f64));
+    let v = vec![1.0; wl.len()];
+    assert_eq!(tm30::compute(&wl, &v), Err(tm30::Error::NotVisible));
+
+    // Exactly 10 points inside is accepted.
+    let wl: Vec<f64> = (0..10).map(|i| 380.0 + 40.0 * i as f64).collect();
+    let v = vec![1.0; wl.len()];
+    assert!(tm30::compute(&wl, &v).is_ok());
+}
+
+#[test]
+fn invalid_input_errors() {
+    use tm30::Error;
+    let wl: Vec<f64> = (0..=40).map(|i| 380.0 + 10.0 * i as f64).collect();
+    let ok = vec![1.0; wl.len()];
+    assert!(matches!(
+        tm30::compute(&wl, &ok[1..]),
+        Err(Error::InvalidInput(_))
+    ));
+
+    let mut nan = ok.clone();
+    nan[5] = f64::NAN;
+    assert!(matches!(
+        tm30::compute(&wl, &nan),
+        Err(Error::InvalidInput(_))
+    ));
+
+    let zeros = vec![0.0; wl.len()];
+    assert!(matches!(
+        tm30::compute(&wl, &zeros),
+        Err(Error::InvalidInput(_))
+    ));
+
+    let mut unsorted = wl.clone();
+    unsorted.swap(3, 4);
+    assert!(matches!(
+        tm30::compute(&unsorted, &ok),
+        Err(Error::InvalidInput(_))
+    ));
+}
+
+#[test]
+fn hpcs_grid_ignores_infrared_tail() {
+    // The HPCS 6500 delivers 350 points over 380-1050 nm; anything past
+    // 780 nm must not influence the result.
+    let path = golden_dir().join("lamp_L0003.json");
+    let doc: Value = serde_json::from_str(&std::fs::read_to_string(path).unwrap()).unwrap();
+    let wl = nums(&doc["wavelengths"]);
+    let mut values = nums(&doc["values"]);
+    assert_eq!(wl.len(), 350);
+    let a = tm30::compute(&wl, &values).unwrap();
+    for (w, v) in wl.iter().zip(values.iter_mut()) {
+        if *w > 780.0 {
+            *v = 1e6;
+        }
+    }
+    let b = tm30::compute(&wl, &values).unwrap();
+    assert_eq!(a, b);
+}
+
+#[test]
+fn scale_invariance() {
+    let path = golden_dir().join("illuminant_FL2.json");
+    let doc: Value = serde_json::from_str(&std::fs::read_to_string(path).unwrap()).unwrap();
+    let wl = nums(&doc["wavelengths"]);
+    let values = nums(&doc["values"]);
+    let a = tm30::compute(&wl, &values).unwrap();
+    let scaled: Vec<f64> = values.iter().map(|v| v * 1234.5).collect();
+    let b = tm30::compute(&wl, &scaled).unwrap();
+    assert!((a.rf - b.rf).abs() < 1e-9);
+    assert!((a.rg - b.rg).abs() < 1e-9);
+    assert!((a.cct_k - b.cct_k).abs() < 1e-6);
+}

crates/tm30/tests/golden/daylight_10000K.json

@@ -0,0 +1,455 @@
+{
+ "name": "daylight_10000K",
+ "source": "sd_CIE_illuminant_D_series(CCT_to_xy_CIE_D(10000*1.4388/1.4380))",
+ "generator": "crates/tm30/tools/golden.py (tm30.py + colour-science 0.4.7, numpy 2.5.1)",
+ "wavelengths": [
+  300.0,
+  305.0,
+  310.0,
+  315.0,
+  320.0,
+  325.0,
+  330.0,
+  335.0,
+  340.0,
+  345.0,
+  350.0,
+  355.0,
+  360.0,
+  365.0,
+  370.0,
+  375.0,
+  380.0,
+  385.0,
+  390.0,
+  395.0,
+  400.0,
+  405.0,
+  410.0,
+  415.0,
+  420.0,
+  425.0,
+  430.0,
+  435.0,
+  440.0,
+  445.0,
+  450.0,
+  455.0,
+  460.0,
+  465.0,
+  470.0,
+  475.0,
+  480.0,
+  485.0,
+  490.0,
+  495.0,
+  500.0,
+  505.0,
+  510.0,
+  515.0,
+  520.0,
+  525.0,
+  530.0,
+  535.0,
+  540.0,
+  545.0,
+  550.0,
+  555.0,
+  560.0,
+  565.0,
+  570.0,
+  575.0,
+  580.0,
+  585.0,
+  590.0,
+  595.0,
+  600.0,
+  605.0,
+  610.0,
+  615.0,
+  620.0,
+  625.0,
+  630.0,
+  635.0,
+  640.0,
+  645.0,
+  650.0,
+  655.0,
+  660.0,
+  665.0,
+  670.0,
+  675.0,
+  680.0,
+  685.0,
+  690.0,
+  695.0,
+  700.0,
+  705.0,
+  710.0,
+  715.0,
+  720.0,
+  725.0,
+  730.0,
+  735.0,
+  740.0,
+  745.0,
+  750.0,
+  755.0,
+  760.0,
+  765.0,
+  770.0,
+  775.0,
+  780.0,
+  785.0,
+  790.0,
+  795.0,
+  800.0,
+  805.0,
+  810.0,
+  815.0,
+  820.0,
+  825.0,
+  830.0
+ ],
+ "values": [
+  0.06008,
+  4.92104,
+  9.782,
+  30.199800000000003,
+  50.6176,
+  72.4788,
+  94.33999999999999,
+  94.76599999999999,
+  95.192,
+  98.1464,
+  101.1008,
+  99.40119999999999,
+  97.7016,
+  103.41320000000002,
+  109.1248,
+  105.03739999999999,
+  100.95,
+  100.72419999999998,
+  100.4984,
+  119.6384,
+  138.7784,
+  145.1238,
+  151.4692,
+  150.8512,
+  150.2332,
+  142.3616,
+  134.49,
+  143.09679999999997,
+  151.7036,
+  157.2072,
+  162.7108,
+  160.9858,
+  159.2608,
+  154.7646,
+  150.26839999999999,
+  148.4612,
+  146.654,
+  140.4984,
+  134.34279999999998,
+  132.12980000000002,
+  129.9168,
+  127.22399999999999,
+  124.53119999999998,
+  120.0536,
+  115.576,
+  115.4342,
+  115.29239999999999,
+  112.49659999999999,
+  109.7008,
+  108.0594,
+  106.418,
+  103.209,
+  100.0,
+  97.16,
+  94.32000000000001,
+  92.861,
+  91.402,
+  88.1076,
+  84.8132,
+  84.1562,
+  83.4992,
+  82.53080000000001,
+  81.5624,
+  79.79919999999998,
+  78.036,
+  75.3106,
+  72.5852,
+  72.138,
+  71.6908,
+  70.08080000000001,
+  68.4708,
+  67.929,
+  67.38719999999999,
+  67.31240000000001,
+  67.23760000000001,
+  65.56479999999999,
+  63.892,
+  60.34479999999999,
+  56.7976,
+  57.105799999999995,
+  57.413999999999994,
+  58.8672,
+  60.32040000000001,
+  55.201,
+  50.081599999999995,
+  53.669200000000004,
+  57.256800000000005,
+  59.532,
+  61.807199999999995,
+  57.1504,
+  52.4936,
+  45.2244,
+  37.9552,
+  46.2936,
+  54.632,
+  53.343999999999994,
+  52.056,
+  52.4188,
+  52.7816,
+  50.843799999999995,
+  48.906000000000006,
+  45.9244,
+  42.94279999999999,
+  45.1304,
+  47.318,
+  48.4934,
+  49.6688
+ ],
+ "expected": {
+  "Rf": 99.99210779924667,
+  "Rg": 100.00186042541752,
+  "CCT_K": 10001.55264159118,
+  "Duv": 0.00305309456192554,
+  "bins": [
+   {
+    "bin": 1,
+    "ref_a": 22.18838088403679,
+    "ref_b": 4.799264696646001,
+    "test_a": 22.188520710286628,
+    "test_b": 4.798446827645167,
+    "ref_a_norm": 0.9773979943072114,
+    "ref_b_norm": 0.21140757016776976,
+    "test_a_norm": 0.9774041536523596,
+    "test_b_norm": 0.21137154304505182,
+    "Rcs_pct": -9.875479140922549e-05,
+    "Rhs": -3.65365002854078e-05,
+    "Rf_h": 99.99314185101497
+   },
+   {
+    "bin": 2,
+    "ref_a": 21.90994680755508,
+    "ref_b": 13.492408657268621,
+    "test_a": 21.909653927911684,
+    "test_b": 13.492212320307129,
+    "ref_a_norm": 0.8514958325226968,
+    "ref_b_norm": 0.524361370808796,
+    "test_a_norm": 0.8514844502131926,
+    "test_b_norm": 0.5243537404797062,
+    "Rcs_pct": -0.0013703228180926522,
+    "Rhs": -2.0714426495737255e-08,
+    "Rf_h": 99.99620041852005
+   },
+   {
+    "bin": 3,
+    "ref_a": 12.787207145707102,
+    "ref_b": 19.296561081623867,
+    "test_a": 12.786917468422585,
+    "test_b": 19.296815372213008,
+    "ref_a_norm": 0.5523902498110285,
+    "ref_b_norm": 0.8335856356210258,
+    "test_a_norm": 0.55237773613969,
+    "test_b_norm": 0.8335966206344427,
+    "Rcs_pct": 0.00021814815453883758,
+    "Rhs": 1.650768392004511e-05,
+    "Rf_h": 99.99449203157278
+   },
+   {
+    "bin": 4,
+    "ref_a": 4.845979263670448,
+    "ref_b": 21.4548724836471,
+    "test_a": 4.845963979167345,
+    "test_b": 21.45494383353854,
+    "ref_a_norm": 0.22031843244807647,
+    "ref_b_norm": 0.9754280026345472,
+    "test_a_norm": 0.22031773755080575,
+    "test_b_norm": 0.9754312464982499,
+    "Rcs_pct": 0.0003045966038851729,
+    "Rhs": 1.3143914288665618e-06,
+    "Rf_h": 99.99342815569689
+   },
+   {
+    "bin": 5,
+    "ref_a": -1.9771713361437273,
+    "ref_b": 22.099668211917926,
+    "test_a": -1.9775837629732882,
+    "test_b": 22.10084386693833,
+    "ref_a_norm": -0.0891101930608291,
+    "ref_b_norm": 0.9960217736037007,
+    "test_a_norm": -0.08912878094632683,
+    "test_b_norm": 0.9960747598289843,
+    "Rcs_pct": 0.005559442638961152,
+    "Rhs": 7.893624737003795e-06,
+    "Rf_h": 99.98788014288363
+   },
+   {
+    "bin": 6,
+    "ref_a": -10.933143884607434,
+    "ref_b": 17.459252297941575,
+    "test_a": -10.933662599603819,
+    "test_b": 17.459837284710108,
+    "ref_a_norm": -0.530735686571021,
+    "ref_b_norm": 0.8475373920954679,
+    "test_a_norm": -0.5307608669365816,
+    "test_b_norm": 0.8475657895406593,
+    "Rcs_pct": 0.003760107430568532,
+    "Rhs": 5.159933548185024e-06,
+    "Rf_h": 99.99414432231491
+   },
+   {
+    "bin": 7,
+    "ref_a": -18.458653808432654,
+    "ref_b": 11.06047032852331,
+    "test_a": -18.459589860385137,
+    "test_b": 11.061053885283826,
+    "ref_a_norm": -0.8577946072914588,
+    "ref_b_norm": 0.5139926183338551,
+    "test_a_norm": -0.8578381066888319,
+    "test_b_norm": 0.5140197368793034,
+    "Rcs_pct": 0.005123468368302473,
+    "Rhs": 1.6187238646207667e-06,
+    "Rf_h": 99.99266475432061
+   },
+   {
+    "bin": 8,
+    "ref_a": -19.359818172583513,
+    "ref_b": 2.95690071064537,
+    "test_a": -19.36023911467728,
+    "test_b": 2.958306038150122,
+    "ref_a_norm": -0.9885363559636104,
+    "ref_b_norm": 0.15098302201964936,
+    "test_a_norm": -0.9885578497896235,
+    "test_b_norm": 0.15105477978710866,
+    "Rcs_pct": 0.003508007413392976,
+    "Rhs": -6.61857246404508e-05,
+    "Rf_h": 99.98993698744763
+   },
+   {
+    "bin": 9,
+    "ref_a": -17.34756228260965,
+    "ref_b": -4.0906645168098015,
+    "test_a": -17.348117812857765,
+    "test_b": -4.089429972734792,
+    "ref_a_norm": -0.9733059099746574,
+    "ref_b_norm": -0.22951166769557554,
+    "test_a_norm": -0.9733370786694199,
+    "test_b_norm": -0.22944240211089248,
+    "Rcs_pct": 0.0017056751811937037,
+    "Rhs": -7.401537659369243e-05,
+    "Rf_h": 99.99014828881192
+   },
+   {
+    "bin": 10,
+    "ref_a": -15.247579240244248,
+    "ref_b": -10.538936071737847,
+    "test_a": -15.248699801029943,
+    "test_b": -10.537044406837277,
+    "ref_a_norm": -0.8226232185175713,
+    "ref_b_norm": -0.5685868802177835,
+    "test_a_norm": -0.8226836739712239,
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crates/tm30/tests/golden/illuminant_D65.json

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crates/tm30/tests/golden/illuminant_FL1.json

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crates/tm30/tests/golden/illuminant_FL11.json

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crates/tm30/tests/golden/illuminant_FL12.json

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crates/tm30/tests/golden/illuminant_FL3.json

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crates/tm30/tests/golden/illuminant_FL4.json

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crates/tm30/tests/golden/illuminant_FL5.json

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crates/tm30/tests/golden/illuminant_FL6.json

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crates/tm30/tests/golden/illuminant_FL7.json

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crates/tm30/tests/golden/illuminant_FL8.json

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crates/tm30/tests/golden/illuminant_FL9.json

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crates/tm30/tests/golden/illuminant_HP1.json

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crates/tm30/tests/golden/illuminant_HP3.json

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crates/tm30/tests/golden/illuminant_HP5.json

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crates/tm30/tests/golden/illuminant_LED_B1.json

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crates/tm30/tests/golden/illuminant_LED_B3.json

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crates/tm30/tests/golden/illuminant_LED_B4.json

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crates/tm30/tests/golden/illuminant_LED_BH1.json

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crates/tm30/tests/golden/illuminant_LED_RGB1.json

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crates/tm30/tests/golden/lamp_L0009.json

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