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wickra/fuzz/fuzz_targets/indicator_update_pair.rs
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#![no_main]
//! Fuzz two-input `Indicator<(f64, f64)>` implementations with arbitrary
//! `(asset, benchmark)` return pairs.
//!
//! Each iteration consumes a byte stream and interprets it as a sequence of
//! `(f64, f64)` pairs (8 bytes per `f64`), then drives every two-series
//! indicator over the sequence both streaming and as a batch. No path may
//! panic.
use libfuzzer_sys::fuzz_target;
use wickra_core::{
Alpha, BatchExt, Cointegration, Indicator, InformationRatio, LeadLagCrossCorrelation,
PairSpreadZScore, PairwiseBeta, RelativeStrengthAB, TreynorRatio,
};
#[inline(never)]
fn drive<I>(make: impl Fn() -> I, data: &[(f64, f64)])
where
I: Indicator<Input = (f64, f64), Output = f64> + BatchExt,
{
let mut streaming = make();
for &x in data {
let _ = streaming.update(x);
}
let _ = make().batch(data);
}
fuzz_target!(|data: &[u8]| {
// Pack two consecutive 8-byte chunks into one `(f64, f64)` pair.
let pairs: Vec<(f64, f64)> = data
.chunks_exact(16)
.map(|c| {
let a = f64::from_le_bytes(c[..8].try_into().expect("8 bytes"));
let b = f64::from_le_bytes(c[8..].try_into().expect("8 bytes"));
(a, b)
})
.collect();
drive(|| TreynorRatio::new(10, 0.0).unwrap(), &pairs);
drive(|| InformationRatio::new(10).unwrap(), &pairs);
drive(|| Alpha::new(10, 0.0).unwrap(), &pairs);
drive(|| PairwiseBeta::new(10).unwrap(), &pairs);
drive(|| PairSpreadZScore::new(10, 10).unwrap(), &pairs);
// Struct-output pair indicator: drive update + batch directly (the generic
// `drive` above only covers `Output = f64`).
let mut ll = LeadLagCrossCorrelation::new(8, 3).unwrap();
for &x in &pairs {
let _ = ll.update(x);
}
let _ = LeadLagCrossCorrelation::new(8, 3).unwrap().batch(&pairs);
let mut co = Cointegration::new(12, 1).unwrap();
for &x in &pairs {
let _ = co.update(x);
}
let _ = Cointegration::new(12, 1).unwrap().batch(&pairs);
let mut rs = RelativeStrengthAB::new(10, 14).unwrap();
for &x in &pairs {
let _ = rs.update(x);
}
let _ = RelativeStrengthAB::new(10, 14).unwrap().batch(&pairs);
});