use crate::{DualNum, DualNumFloat, DualStruct};
use num_traits::{Float, FloatConst, FromPrimitive, Inv, Num, One, Signed, Zero};
#[cfg(feature = "serde")]
use serde::{Deserialize, Serialize};
use std::fmt;
use std::iter::{Product, Sum};
use std::marker::PhantomData;
use std::ops::{
Add, AddAssign, Div, DivAssign, Mul, MulAssign, Neg, Rem, RemAssign, Sub, SubAssign,
};
#[derive(Copy, Clone, Debug)]
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
pub struct HyperDual<T: DualNum<F>, F> {
pub re: T,
pub eps1: T,
pub eps2: T,
pub eps1eps2: T,
#[cfg_attr(feature = "serde", serde(skip))]
f: PhantomData<F>,
}
#[cfg(feature = "ndarray")]
impl<T: DualNum<F>, F: DualNumFloat> ndarray::ScalarOperand for HyperDual<T, F> {}
pub type HyperDual32 = HyperDual<f32, f32>;
pub type HyperDual64 = HyperDual<f64, f64>;
impl<T: DualNum<F>, F> HyperDual<T, F> {
#[inline]
pub fn new(re: T, eps1: T, eps2: T, eps1eps2: T) -> Self {
Self {
re,
eps1,
eps2,
eps1eps2,
f: PhantomData,
}
}
}
impl<T: DualNum<F>, F> HyperDual<T, F> {
#[inline]
pub fn derivative1(mut self) -> Self {
self.eps1 = T::one();
self
}
#[inline]
pub fn derivative2(mut self) -> Self {
self.eps2 = T::one();
self
}
}
impl<T: DualNum<F>, F> HyperDual<T, F> {
#[inline]
pub fn from_re(re: T) -> Self {
Self::new(re, T::zero(), T::zero(), T::zero())
}
}
impl<T: DualNum<F>, F: Float> HyperDual<T, F> {
#[inline]
fn chain_rule(&self, f0: T, f1: T, f2: T) -> Self {
Self::new(
f0,
self.eps1.clone() * f1.clone(),
self.eps2.clone() * f1.clone(),
self.eps1eps2.clone() * f1 + self.eps1.clone() * self.eps2.clone() * f2,
)
}
}
impl<T: DualNum<F>, F: Float> Mul<&HyperDual<T, F>> for &HyperDual<T, F> {
type Output = HyperDual<T, F>;
#[inline]
fn mul(self, other: &HyperDual<T, F>) -> HyperDual<T, F> {
HyperDual::new(
self.re.clone() * other.re.clone(),
other.eps1.clone() * self.re.clone() + self.eps1.clone() * other.re.clone(),
other.eps2.clone() * self.re.clone() + self.eps2.clone() * other.re.clone(),
other.eps1eps2.clone() * self.re.clone()
+ self.eps1.clone() * other.eps2.clone()
+ other.eps1.clone() * self.eps2.clone()
+ self.eps1eps2.clone() * other.re.clone(),
)
}
}
impl<T: DualNum<F>, F: Float> Div<&HyperDual<T, F>> for &HyperDual<T, F> {
type Output = HyperDual<T, F>;
#[inline]
fn div(self, other: &HyperDual<T, F>) -> HyperDual<T, F> {
let inv = other.re.recip();
let inv2 = inv.clone() * &inv;
HyperDual::new(
self.re.clone() * &inv,
(self.eps1.clone() * other.re.clone() - other.eps1.clone() * self.re.clone())
* inv2.clone(),
(self.eps2.clone() * other.re.clone() - other.eps2.clone() * self.re.clone())
* inv2.clone(),
self.eps1eps2.clone() * inv.clone()
- (other.eps1eps2.clone() * self.re.clone()
+ self.eps1.clone() * other.eps2.clone()
+ other.eps1.clone() * self.eps2.clone())
* inv2.clone()
+ other.eps1.clone()
* other.eps2.clone()
* ((T::one() + T::one()) * self.re.clone() * inv2 * inv),
)
}
}
impl<T: DualNum<F>, F: fmt::Display> fmt::Display for HyperDual<T, F> {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
fmt::Display::fmt(&self.re, f)?;
write!(f, " + ")?;
fmt::Display::fmt(&self.eps1, f)?;
write!(f, "ε1 + ")?;
fmt::Display::fmt(&self.eps2, f)?;
write!(f, "ε2 + ")?;
fmt::Display::fmt(&self.eps1eps2, f)?;
write!(f, "ε1ε2")
}
}
impl_second_derivatives!(HyperDual, [eps1, eps2, eps1eps2]);
impl_dual!(HyperDual, [eps1, eps2, eps1eps2]);