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 @@
rsi_ma,trailing_line
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
35.930862145084035,18.830590440348864
48.29410290300643,30.391660241019007
59.26715678400074,40.558897574345515
68.33562367886918,49.33270438357475
75.57249801162841,56.94185985935833
81.23795820101282,63.58385808714259
85.6218327195316,69.38912185348715
88.98678395663832,74.44166924427545
91.5510294708851,78.80224901392174
93.48341103862265,82.52011439755776
90.40376158791501,82.52011439755776
80.53476225069144,90.70325793202198
67.5040922138752,79.67513724080148
54.607988336107724,69.18251781981085
43.31044334937383,59.84436153495163
33.9784071238569,51.61984853976301
26.514320576572587,44.34652028136489
20.66950621953593,37.90397949819777
16.18858230365668,32.23821878771572
15.667629460242955,29.52314616923057
23.354545704208803,29.52314616923057
35.59020377717422,21.630437252428703
48.16336335462405,32.55588546785338
59.22875215910787,42.16414703119301
68.33672515447026,50.49658115684578
75.5891079315098,57.77487759663053
81.25909004544292,64.17573979478519
85.64252569286334,69.80806425250596
89.00487693677461,74.73767262905457
91.56552450373697,79.01109105205524
93.49320611482402,82.66656751354904
90.04931664408515,82.66656751354904
79.87821947695237,90.15472885427455
66.7679277095395,79.10730340292254
53.924472723405714,68.66373725491407
42.72746590453222,59.38387537590057
33.502366337508455,51.21015018911227
26.135399376219638,43.98003296025853
20.37355121290307,37.576680538312466
15.963297921145772,31.94991171584264
15.896259214006246,29.58080650834001
23.97608537582024,29.58080650834001
36.31307446761109,22.40498462590284
48.82857271478802,33.25275033643872
59.786893992980595,42.76532157856463
68.78527059674094,51.01278918928371
75.94145759988503,58.2196952400949
81.53219875188822,64.55967597503722
85.85235784773305,70.13863095053959
89.16495801341567,75.02053223671759
91.68661403744389,79.25089028414837
93.58296570862566,82.86700067805707
89.74995257214049,82.86700067805707
79.26810366338816,89.65174661124507
66.07164387191447,78.57671631769999
53.273309364814715,68.17586120617005
42.16965680192121,58.94939429513333
33.04542646539114,50.82266015718939
25.770755519154594,43.632666210399435
20.08817461239413,37.26585853920147
15.745944613517766,31.675836208457923
16.13443030423887,29.826089727960508
1 rsi_ma trailing_line
2 nan nan
3 nan nan
4 nan nan
5 nan nan
6 nan nan
7 nan nan
8 nan nan
9 nan nan
10 nan nan
11 nan nan
12 nan nan
13 nan nan
14 nan nan
15 nan nan
16 nan nan
17 nan nan
18 nan nan
19 nan nan
20 35.930862145084035 18.830590440348864
21 48.29410290300643 30.391660241019007
22 59.26715678400074 40.558897574345515
23 68.33562367886918 49.33270438357475
24 75.57249801162841 56.94185985935833
25 81.23795820101282 63.58385808714259
26 85.6218327195316 69.38912185348715
27 88.98678395663832 74.44166924427545
28 91.5510294708851 78.80224901392174
29 93.48341103862265 82.52011439755776
30 90.40376158791501 82.52011439755776
31 80.53476225069144 90.70325793202198
32 67.5040922138752 79.67513724080148
33 54.607988336107724 69.18251781981085
34 43.31044334937383 59.84436153495163
35 33.9784071238569 51.61984853976301
36 26.514320576572587 44.34652028136489
37 20.66950621953593 37.90397949819777
38 16.18858230365668 32.23821878771572
39 15.667629460242955 29.52314616923057
40 23.354545704208803 29.52314616923057
41 35.59020377717422 21.630437252428703
42 48.16336335462405 32.55588546785338
43 59.22875215910787 42.16414703119301
44 68.33672515447026 50.49658115684578
45 75.5891079315098 57.77487759663053
46 81.25909004544292 64.17573979478519
47 85.64252569286334 69.80806425250596
48 89.00487693677461 74.73767262905457
49 91.56552450373697 79.01109105205524
50 93.49320611482402 82.66656751354904
51 90.04931664408515 82.66656751354904
52 79.87821947695237 90.15472885427455
53 66.7679277095395 79.10730340292254
54 53.924472723405714 68.66373725491407
55 42.72746590453222 59.38387537590057
56 33.502366337508455 51.21015018911227
57 26.135399376219638 43.98003296025853
58 20.37355121290307 37.576680538312466
59 15.963297921145772 31.94991171584264
60 15.896259214006246 29.58080650834001
61 23.97608537582024 29.58080650834001
62 36.31307446761109 22.40498462590284
63 48.82857271478802 33.25275033643872
64 59.786893992980595 42.76532157856463
65 68.78527059674094 51.01278918928371
66 75.94145759988503 58.2196952400949
67 81.53219875188822 64.55967597503722
68 85.85235784773305 70.13863095053959
69 89.16495801341567 75.02053223671759
70 91.68661403744389 79.25089028414837
71 93.58296570862566 82.86700067805707
72 89.74995257214049 82.86700067805707
73 79.26810366338816 89.65174661124507
74 66.07164387191447 78.57671631769999
75 53.273309364814715 68.17586120617005
76 42.16965680192121 58.94939429513333
77 33.04542646539114 50.82266015718939
78 25.770755519154594 43.632666210399435
79 20.08817461239413 37.26585853920147
80 15.745944613517766 31.675836208457923
81 16.13443030423887 29.826089727960508