test: golden-pin the four de-duplicated indicators across all bindings (#305)

* test: golden-pin the four de-duplicated indicators across all C-ABI bindings

Extend gen_golden to emit reference fixtures for AdOscillator (ADOSC),
IntradayIntensity, AwesomeOscillatorHistogram and AverageDrawdown, and replay
them through the Go / C# / Java / R golden harnesses so their corrected
definitions stay bit-identical to the Rust core in every binding. Go suite
verified locally (gcc 13 + cgo): all 9 golden tests pass; C#/Java/R use the
same fixtures and harness pattern (CI-verified). First step of extending the
golden coverage beyond the seven archetype representatives.

* test: golden-pin the scalar-output tranche (308 indicators) against Rust

Extend gen_golden with a generated emit_scalar that writes reference fixtures
for every single-f64-output indicator (scalar / candle / pairwise input) using
valid constructor params, and add a manifest-driven generic Python golden
replay that reconstructs each by its native name and checks it bit-for-bit
against the Rust output. 308 indicators now value-tied to the Rust core in
Python (pytest: 308/308). Takes golden coverage from the 7 archetype
representatives to 308+ of the catalogue.

22 scalar indicators with non-default constructor constraints are skipped by
gen_golden for now (logged), as are non-f64-output ones; multi-output, exotic
inputs and the per-indicator arg arities of the C-ABI/Node replays follow.
Generated + verified locally with the full toolchain.

* test: golden-pin the multi-output tranche (70 indicators) in Python

Add a generated emit_multi to gen_golden (per-indicator Output-field access,
one CSV column per field) and a manifest-driven generic Python replay that
checks every field of each multi-output indicator against the Rust reference.
70 multi-output indicators now value-tied to Rust in Python; combined with the
scalar tranche, 378 indicators are golden-pinned. 8 multi with non-default
param constraints and 5 with non-f64 Output fields (Option/Vec/i64) are
deferred. pytest green.

* test(golden): add 30 constraint-tuned indicators to scalar/multi golden suite

Emit golden fixtures for 22 scalar-output and 8 multi-output indicators
whose constructors need non-default parameters (Alma, Jma, Psar, T3, Mama,
DoubleBollinger, ZigZag, ...). All 408 fixtures replay bit-for-bit through
the Python binding.

* test(golden): cover 36 missed scalar/multi indicators

Add 26 single-output (LinearRegression family, HT cycle, Candle
volatility estimators, DrawdownDuration) and 10 multi-output
(BollingerBands, MACD/MACDEXT/MACDFIX, Camarilla, VWAP bands, ...)
indicators to the golden suite. 444 fixtures replay bit-for-bit
through the Python binding.

* test(golden): cover 50 exotic-input indicators

Add deterministic synthetic feeders for the DerivativesTick (17),
CrossSection (15), Trade (8), TradeQuote (3) and OrderBook (7)
families, derived from the shared OHLCV input series in both
gen_golden and a new Python replay harness (test_golden_exotic).
All 494 fixtures replay bit-for-bit through the Python binding.

* test(golden): complete 514-indicator golden coverage

Add the final tranches: 3 mixed multi-output indicators (Ichimoku,
WilliamsFractals, LeadLagCrossCorrelation), 6 histogram profiles
(time/volume seasonality + TPO/volume price profiles), 10 alt-chart
bar builders and the footprint. Every one of the 514 distinct
indicators now has a Rust-generated g_<Canonical>.csv fixture and a
generic Python replay (scalar/multi/exotic/profile/bars), all passing
bit-for-bit.

* test(golden): add generic Node replay for all 514 indicators

A manifest-driven node:test harness reconstructs every indicator by its
native class, feeds the same synthetic stream derived from the shared
golden input, and checks output bit-for-bit against the Rust reference
fixtures (scalar/multi/exotic/profile/bars). node_manifest.json is
generated from index.d.ts plus the Python-side manifests. 514/514 pass.

* test(golden): add generated Go replay for all 514 indicators

golden_all_test.go (generated by gen_golden_test.py) reconstructs every
Go indicator, feeds the shared synthetic stream and checks output
bit-for-bit against the Rust reference fixtures. A reflection-based
comparator flattens multi-output structs, profiles and bar slices so one
path covers all archetypes. This is the first C-ABI binding verified
across the full catalogue. 514/514 pass.

* test(golden): add generated C# replay for all 514 indicators

GoldenAllTests.g.cs (generated by gen_golden_test.py) reconstructs every
C# indicator, feeds the shared synthetic stream and checks output
bit-for-bit against the Rust reference fixtures via a reflection-based
flatten covering scalar/multi/profile/bar archetypes. 514/514 pass.

Also add the '#nullable enable' directive the compiler requires to the
generated Indicators.g.cs, clearing the four CS8669 warnings on the
nullable double[] profile return types.

* fix(java): marshal C ABI bool params correctly; add 514 golden replay

The Java FFM binding marshalled the cross-section state flags (newHigh,
newLow, aboveMa, onBuySignal) as JAVA_DOUBLE arrays, but the C ABI takes
them as const bool* (one byte each), so the native side read the low byte
of each 8-byte double and saw every flag as false. Add WickraNative.
boolSegment and use it across the 15 cross-section indicators. Also pass
the MacdExt MaType arguments as byte to match the uint8_t downcall
descriptor (was int, throwing WrongMethodTypeException).

Add GoldenAllTest.java (generated by gen_golden_test.py): a reflection
runner replaying all 514 indicators against the Rust reference fixtures.
The bugs above were found by this test; 514/514 now pass.

* fix(r): marshal C ABI bool flags correctly; add 514 golden replay

The R wrapper passed the cross-section state flags as (bool *)REAL(x),
reinterpreting the 8-byte doubles as 1-byte bools so the native side read
every flag as false. Add wk_bool_vec to convert each flag vector into a
real C bool buffer and use it for all 15 cross-section update wrappers.

Add test-golden-all.R + generated golden_specs.R: a reflective runner
replaying all 514 indicators against the Rust reference fixtures. The bug
above was found by this test; verified 514/514 pass locally.

* test(golden): add WASM replay for all 514 indicators

A manifest-driven node:test harness loads the nodejs-target wasm-pack
build, reconstructs every indicator by its JS class, feeds the shared
synthetic stream and checks output bit-for-bit against the Rust
reference fixtures. wasm_manifest.json is generated from the wasm .d.ts
plus the shared manifests; a recursive flattener covers scalar, multi
(Reflect objects), profile and bar shapes. 514/514 pass locally
(wasm-pack build --target nodejs, then node --test).

* test(golden): add C and C++ replay for all 514 indicators

golden_test.c (generated by gen_golden_test.py) drives every indicator
through the C ABI (wickra.h) and checks output bit-for-bit against the
Rust reference fixtures. golden_test.cpp #includes the same source so the
identical runner is compiled and run under both gcc (C) and g++ (C++) via
the CMake targets golden_test / golden_test_cpp — proving the extern "C"
header is consumable from each language. Both 514/514 (verified via ctest).

* test(golden): gofmt the generated Go golden replay

* test(golden): make the Node fixture reader CRLF-safe and pin fixtures to LF
This commit is contained in:
kingchenc
2026-06-15 04:48:51 +02:00
committed by GitHub
parent de1112ea91
commit 4f708d410d
573 changed files with 102337 additions and 77 deletions
+81
View File
@@ -0,0 +1,81 @@
upper,middle,lower
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
nan,nan,nan
115.1642566915892,106.32522914642337,97.48620160125755
115.1642566915892,105.75567857424203,96.34710045689485
115.1642566915892,105.55123615855868,95.93821562552817
115.1642566915892,105.55123615855868,95.93821562552817
115.1642566915892,105.55123615855868,95.93821562552817
115.1642566915892,105.55123615855868,95.93821562552817
115.1642566915892,105.55123615855868,95.93821562552817
114.55977666009171,105.24899614280994,95.93821562552817
112.72390874531129,104.33106218541974,95.93821562552817
115.26697281350663,105.6025942195174,95.93821562552817
118.47543335247398,107.20682448900108,95.93821562552817
121.38046215528227,108.65933889040522,95.93821562552817
123.36781277048146,109.65301419800483,95.93821562552817
124.2878498649492,110.11303274523868,95.93821562552817
124.2878498649492,110.11303274523868,95.93821562552817
124.2878498649492,110.11303274523868,95.93821562552817
124.2878498649492,110.41830745600757,96.54876504706593
124.2878498649492,111.11031724277667,97.93278462060415
124.2878498649492,112.27169673288938,100.25554360082955
124.2878498649492,113.47310477893726,102.65835969292533
124.2878498649492,114.99919560255626,105.7105413401633
124.2878498649492,116.40160188307092,108.51535390119264
124.2878498649492,115.73788676854423,107.18792367213928
124.2878498649492,115.39228340988873,106.49671695482826
124.2878498649492,115.27785837751748,106.26786689008574
124.2878498649492,115.27785837751748,106.26786689008574
124.2878498649492,115.27785837751748,106.26786689008574
124.22410945235427,115.24598817122,106.26786689008574
123.88697089091687,115.0774188905013,106.26786689008574
123.33523703654073,114.80155196331324,106.26786689008574
127.14038418498515,116.70412553753545,106.26786689008574
130.20955349568973,118.23871019288774,106.26786689008574
132.45313613345562,119.36050151177068,106.26786689008574
134.3228744433646,120.29537066672518,106.26786689008574
135.053120145851,120.66049351796838,106.26786689008574
135.065460892756,120.66666389142087,106.26786689008574
135.065460892756,120.66666389142087,106.26786689008574
135.065460892756,120.66666389142087,106.26786689008574
135.065460892756,121.19307431549183,107.32068773822765
135.065460892756,122.36807306672702,109.67068524069803
135.065460892756,124.07809837839216,113.09073586402833
135.065460892756,125.86333960223885,116.6612183117217
135.065460892756,127.04431008633946,119.02315927992295
135.065460892756,126.34550592374353,117.62555095473105
135.065460892756,126.16041207005304,117.25536324735009
135.065460892756,126.16041207005304,117.25536324735009
135.065460892756,126.16041207005304,117.25536324735009
135.065460892756,126.16041207005304,117.25536324735009
135.065460892756,126.16041207005304,117.25536324735009
134.08480947785137,125.67008636260073,117.25536324735009
133.06294250948164,125.15915287841587,117.25536324735009
136.79793765689536,127.02665045212272,117.25536324735009
140.0546941334019,128.655028690376,117.25536324735009
142.5489901806554,129.90217671400274,117.25536324735009
144.5932922665057,130.92432775692788,117.25536324735009
146.0756620034572,131.66551262540366,117.25536324735009
146.57143212166807,131.91339768450908,117.25536324735009
146.57143212166807,131.91339768450908,117.25536324735009
146.57143212166807,132.26282244054363,117.95421275941922
146.57143212166807,132.86197462916553,119.152517136663
146.57143212166807,133.72452371505295,120.87761530843784
146.57143212166807,134.87997713465919,123.18852214765032
146.57143212166807,136.45599058085855,126.34054904004905
146.57143212166807,137.63930586348852,128.70717960530897
146.57143212166807,137.0934434175423,127.6154547134165
146.57143212166807,136.98545378943146,127.39947545719488
146.57143212166807,136.98545378943146,127.39947545719488
1 upper middle lower
2 nan nan nan
3 nan nan nan
4 nan nan nan
5 nan nan nan
6 nan nan nan
7 nan nan nan
8 nan nan nan
9 nan nan nan
10 nan nan nan
11 nan nan nan
12 nan nan nan
13 nan nan nan
14 nan nan nan
15 115.1642566915892 106.32522914642337 97.48620160125755
16 115.1642566915892 105.75567857424203 96.34710045689485
17 115.1642566915892 105.55123615855868 95.93821562552817
18 115.1642566915892 105.55123615855868 95.93821562552817
19 115.1642566915892 105.55123615855868 95.93821562552817
20 115.1642566915892 105.55123615855868 95.93821562552817
21 115.1642566915892 105.55123615855868 95.93821562552817
22 114.55977666009171 105.24899614280994 95.93821562552817
23 112.72390874531129 104.33106218541974 95.93821562552817
24 115.26697281350663 105.6025942195174 95.93821562552817
25 118.47543335247398 107.20682448900108 95.93821562552817
26 121.38046215528227 108.65933889040522 95.93821562552817
27 123.36781277048146 109.65301419800483 95.93821562552817
28 124.2878498649492 110.11303274523868 95.93821562552817
29 124.2878498649492 110.11303274523868 95.93821562552817
30 124.2878498649492 110.11303274523868 95.93821562552817
31 124.2878498649492 110.41830745600757 96.54876504706593
32 124.2878498649492 111.11031724277667 97.93278462060415
33 124.2878498649492 112.27169673288938 100.25554360082955
34 124.2878498649492 113.47310477893726 102.65835969292533
35 124.2878498649492 114.99919560255626 105.7105413401633
36 124.2878498649492 116.40160188307092 108.51535390119264
37 124.2878498649492 115.73788676854423 107.18792367213928
38 124.2878498649492 115.39228340988873 106.49671695482826
39 124.2878498649492 115.27785837751748 106.26786689008574
40 124.2878498649492 115.27785837751748 106.26786689008574
41 124.2878498649492 115.27785837751748 106.26786689008574
42 124.22410945235427 115.24598817122 106.26786689008574
43 123.88697089091687 115.0774188905013 106.26786689008574
44 123.33523703654073 114.80155196331324 106.26786689008574
45 127.14038418498515 116.70412553753545 106.26786689008574
46 130.20955349568973 118.23871019288774 106.26786689008574
47 132.45313613345562 119.36050151177068 106.26786689008574
48 134.3228744433646 120.29537066672518 106.26786689008574
49 135.053120145851 120.66049351796838 106.26786689008574
50 135.065460892756 120.66666389142087 106.26786689008574
51 135.065460892756 120.66666389142087 106.26786689008574
52 135.065460892756 120.66666389142087 106.26786689008574
53 135.065460892756 121.19307431549183 107.32068773822765
54 135.065460892756 122.36807306672702 109.67068524069803
55 135.065460892756 124.07809837839216 113.09073586402833
56 135.065460892756 125.86333960223885 116.6612183117217
57 135.065460892756 127.04431008633946 119.02315927992295
58 135.065460892756 126.34550592374353 117.62555095473105
59 135.065460892756 126.16041207005304 117.25536324735009
60 135.065460892756 126.16041207005304 117.25536324735009
61 135.065460892756 126.16041207005304 117.25536324735009
62 135.065460892756 126.16041207005304 117.25536324735009
63 135.065460892756 126.16041207005304 117.25536324735009
64 134.08480947785137 125.67008636260073 117.25536324735009
65 133.06294250948164 125.15915287841587 117.25536324735009
66 136.79793765689536 127.02665045212272 117.25536324735009
67 140.0546941334019 128.655028690376 117.25536324735009
68 142.5489901806554 129.90217671400274 117.25536324735009
69 144.5932922665057 130.92432775692788 117.25536324735009
70 146.0756620034572 131.66551262540366 117.25536324735009
71 146.57143212166807 131.91339768450908 117.25536324735009
72 146.57143212166807 131.91339768450908 117.25536324735009
73 146.57143212166807 132.26282244054363 117.95421275941922
74 146.57143212166807 132.86197462916553 119.152517136663
75 146.57143212166807 133.72452371505295 120.87761530843784
76 146.57143212166807 134.87997713465919 123.18852214765032
77 146.57143212166807 136.45599058085855 126.34054904004905
78 146.57143212166807 137.63930586348852 128.70717960530897
79 146.57143212166807 137.0934434175423 127.6154547134165
80 146.57143212166807 136.98545378943146 127.39947545719488
81 146.57143212166807 136.98545378943146 127.39947545719488