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wickra/testdata/golden/exotic_manifest.json
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kingchencandGitHub 4f708d410d 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
2026-06-15 04:48:51 +02:00

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{
"deriv": [
{
"canonical": "CalendarSpread",
"native": "CalendarSpread",
"params": [],
"args": [
"futures_price",
"mark_price"
]
},
{
"canonical": "EstimatedLeverageRatio",
"native": "EstimatedLeverageRatio",
"params": [],
"args": [
"open_interest",
"long_size",
"short_size"
]
},
{
"canonical": "FundingBasis",
"native": "FundingBasis",
"params": [],
"args": [
"mark_price",
"index_price"
]
},
{
"canonical": "FundingImpliedApr",
"native": "FundingImpliedApr",
"params": [
1095.0
],
"args": [
"funding_rate"
]
},
{
"canonical": "FundingRate",
"native": "FundingRate",
"params": [],
"args": [
"funding_rate"
]
},
{
"canonical": "FundingRateMean",
"native": "FundingRateMean",
"params": [
20
],
"args": [
"funding_rate"
]
},
{
"canonical": "FundingRateZScore",
"native": "FundingRateZScore",
"params": [
20
],
"args": [
"funding_rate"
]
},
{
"canonical": "LongShortRatio",
"native": "LongShortRatio",
"params": [],
"args": [
"long_size",
"short_size"
]
},
{
"canonical": "OpenInterestDelta",
"native": "OpenInterestDelta",
"params": [],
"args": [
"open_interest"
]
},
{
"canonical": "OIPriceDivergence",
"native": "OIPriceDivergence",
"params": [
20
],
"args": [
"open_interest",
"mark_price"
]
},
{
"canonical": "OiToVolumeRatio",
"native": "OiToVolumeRatio",
"params": [],
"args": [
"open_interest",
"taker_buy_volume",
"taker_sell_volume"
]
},
{
"canonical": "OIWeighted",
"native": "OIWeighted",
"params": [],
"args": [
"mark_price",
"open_interest"
]
},
{
"canonical": "OpenInterestMomentum",
"native": "OpenInterestMomentum",
"params": [
10
],
"args": [
"open_interest"
]
},
{
"canonical": "PerpetualPremiumIndex",
"native": "PerpetualPremiumIndex",
"params": [],
"args": [
"mark_price",
"index_price"
]
},
{
"canonical": "TakerBuySellRatio",
"native": "TakerBuySellRatio",
"params": [],
"args": [
"taker_buy_volume",
"taker_sell_volume"
]
},
{
"canonical": "TermStructureBasis",
"native": "TermStructureBasis",
"params": [],
"args": [
"futures_price",
"index_price"
]
},
{
"canonical": "LiquidationFeatures",
"native": "LiquidationFeatures",
"params": [],
"args": [
"long_liquidation",
"short_liquidation"
],
"n": 5
}
],
"cross": [
{
"canonical": "AbsoluteBreadthIndex",
"native": "AbsoluteBreadthIndex",
"params": []
},
{
"canonical": "AdvanceDecline",
"native": "AdvanceDecline",
"params": []
},
{
"canonical": "AdvanceDeclineRatio",
"native": "AdvanceDeclineRatio",
"params": []
},
{
"canonical": "AdVolumeLine",
"native": "AdVolumeLine",
"params": []
},
{
"canonical": "BreadthThrust",
"native": "BreadthThrust",
"params": [
10
]
},
{
"canonical": "BullishPercentIndex",
"native": "BullishPercentIndex",
"params": [],
"extra": "on_buy_signal"
},
{
"canonical": "CumulativeVolumeIndex",
"native": "CumulativeVolumeIndex",
"params": []
},
{
"canonical": "HighLowIndex",
"native": "HighLowIndex",
"params": [
10
]
},
{
"canonical": "McClellanOscillator",
"native": "McClellanOscillator",
"params": []
},
{
"canonical": "McClellanSummationIndex",
"native": "McClellanSummationIndex",
"params": []
},
{
"canonical": "NewHighsNewLows",
"native": "NewHighsNewLows",
"params": []
},
{
"canonical": "PercentAboveMa",
"native": "PercentAboveMa",
"params": [],
"extra": "above_ma"
},
{
"canonical": "TickIndex",
"native": "TickIndex",
"params": []
},
{
"canonical": "Trin",
"native": "Trin",
"params": []
},
{
"canonical": "UpDownVolumeRatio",
"native": "UpDownVolumeRatio",
"params": []
}
],
"trade": [
{
"canonical": "AmihudIlliquidity",
"native": "AmihudIlliquidity",
"params": [
20
]
},
{
"canonical": "CumulativeVolumeDelta",
"native": "CumulativeVolumeDelta",
"params": []
},
{
"canonical": "Pin",
"native": "Pin",
"params": [
20
]
},
{
"canonical": "RollMeasure",
"native": "RollMeasure",
"params": [
20
]
},
{
"canonical": "SignedVolume",
"native": "SignedVolume",
"params": []
},
{
"canonical": "TradeImbalance",
"native": "TradeImbalance",
"params": [
20
]
},
{
"canonical": "TradeSignAutocorrelation",
"native": "TradeSignAutocorrelation",
"params": [
20
]
},
{
"canonical": "Vpin",
"native": "Vpin",
"params": [
5000.0,
10
]
}
],
"trademid": [
{
"canonical": "KylesLambda",
"native": "KylesLambda",
"params": [
20
]
},
{
"canonical": "RealizedSpread",
"native": "RealizedSpread",
"params": [
20
]
},
{
"canonical": "EffectiveSpread",
"native": "EffectiveSpread",
"params": []
}
],
"ob": [
{
"canonical": "DepthSlope",
"native": "DepthSlope",
"params": []
},
{
"canonical": "Microprice",
"native": "Microprice",
"params": []
},
{
"canonical": "OrderBookImbalanceFull",
"native": "OrderBookImbalanceFull",
"params": []
},
{
"canonical": "OrderBookImbalanceTop1",
"native": "OrderBookImbalanceTop1",
"params": []
},
{
"canonical": "OrderBookImbalanceTopN",
"native": "OrderBookImbalanceTopN",
"params": [
5
]
},
{
"canonical": "OrderFlowImbalance",
"native": "OrderFlowImbalance",
"params": [
20
]
},
{
"canonical": "QuotedSpread",
"native": "QuotedSpread",
"params": []
}
]
}
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