use crate::{TargetTransform, TransformError, median_sorted, validate_non_empty_finite};
#[derive(Debug, Clone, Copy, Default, PartialEq, Eq)]
pub struct AsinhScale;
#[derive(Debug, Clone, Copy, PartialEq)]
pub struct AsinhScaleState {
pub scale: f64,
}
impl TargetTransform for AsinhScale {
type State = AsinhScaleState;
fn fit(y: &[f64]) -> Result<Self::State, TransformError> {
validate_non_empty_finite(y)?;
let mut abs_values: Vec<_> = y.iter().map(|value| value.abs()).collect();
abs_values.sort_by(f64::total_cmp);
let scale = median_sorted(&abs_values)
.filter(|value| value.is_finite() && *value > 0.0)
.unwrap_or(1.0);
Ok(AsinhScaleState { scale })
}
#[inline(always)]
fn transform(state: &Self::State, y: f64) -> f64 {
(y / state.scale).asinh()
}
#[inline(always)]
fn inverse(state: &Self::State, value: f64) -> f64 {
value.sinh() * state.scale
}
}
#[cfg(test)]
mod tests {
use approx::assert_relative_eq;
use crate::{AsinhScale, TargetTransform};
#[test]
fn round_trips_signed_values() {
let y = [-100.0, -1.0, 0.0, 2.0, 50.0];
let (state, transformed) = AsinhScale::fit_transform(&y).unwrap();
let restored = AsinhScale::inverse_slice(&state, &transformed).unwrap();
assert!(state.scale > 0.0);
for (actual, expected) in restored.iter().zip(y) {
assert_relative_eq!(*actual, expected, epsilon = 1.0e-10);
}
}
#[test]
fn uses_unit_scale_for_all_zero_targets() {
let state = AsinhScale::fit(&[0.0, 0.0]).unwrap();
assert_relative_eq!(state.scale, 1.0);
assert_relative_eq!(AsinhScale::transform(&state, 0.0), 0.0);
}
}