kingchenc
2d140419bb
* feat(derivatives): TermStructureBasis indicator (core) * feat(derivatives): CalendarSpread indicator (core) * feat(derivatives): Python, Node and WASM bindings for basis & calendar-spread indicators * test(derivatives): Python and Node tests for basis & calendar-spread indicators * docs(derivatives): README row + counter 242->244, CHANGELOG part 3; fuzz basis indicators
64 lines
2.3 KiB
Rust
64 lines
2.3 KiB
Rust
#![no_main]
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//! Fuzz derivatives `Indicator<Input = DerivativesTick>` implementations with
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//! arbitrary perpetual / futures tick streams.
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//!
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//! Each iteration consumes a byte stream, interprets it as a sequence of `f64`
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//! values (8 bytes each), and packs consecutive groups of eleven into a
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//! [`DerivativesTick`]'s numeric fields. Ticks are built with `new_unchecked`
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//! so the fuzzer can explore degenerate values (non-finite, negative, zero
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//! prices) that the validating constructor would reject — the indicators must
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//! never panic, streaming or batched.
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use libfuzzer_sys::fuzz_target;
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use wickra_core::{
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BatchExt, CalendarSpread, DerivativesTick, FundingBasis, FundingRate, FundingRateMean,
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FundingRateZScore, Indicator, LiquidationFeatures, LongShortRatio, OIPriceDivergence,
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OIWeighted, OpenInterestDelta, TakerBuySellRatio, TermStructureBasis,
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};
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#[inline(never)]
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fn drive<I>(make: impl Fn() -> I, ticks: &[DerivativesTick])
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where
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I: Indicator<Input = DerivativesTick, Output = f64> + BatchExt,
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{
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let mut streaming = make();
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for &tick in ticks {
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let _ = streaming.update(tick);
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}
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let _ = make().batch(ticks);
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}
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fuzz_target!(|data: &[u8]| {
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let floats: Vec<f64> = data
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.chunks_exact(8)
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.map(|c| f64::from_le_bytes(c.try_into().expect("8 bytes")))
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.collect();
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let ticks: Vec<DerivativesTick> = floats
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.chunks_exact(11)
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.map(|c| {
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DerivativesTick::new_unchecked(
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c[0], c[1], c[2], c[3], c[4], c[5], c[6], c[7], c[8], c[9], c[10], 0,
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)
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})
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.collect();
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drive(FundingRate::new, &ticks);
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drive(|| FundingRateMean::new(5).unwrap(), &ticks);
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drive(|| FundingRateZScore::new(5).unwrap(), &ticks);
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drive(FundingBasis::new, &ticks);
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drive(OpenInterestDelta::new, &ticks);
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drive(|| OIPriceDivergence::new(5).unwrap(), &ticks);
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drive(OIWeighted::new, &ticks);
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drive(LongShortRatio::new, &ticks);
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drive(TakerBuySellRatio::new, &ticks);
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drive(TermStructureBasis::new, &ticks);
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drive(CalendarSpread::new, &ticks);
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// LiquidationFeatures emits a struct, not an f64, so drive it directly.
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let mut liq = LiquidationFeatures::new();
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for &tick in &ticks {
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let _ = liq.update(tick);
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}
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let _ = LiquidationFeatures::new().batch(&ticks);
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});
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