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 Real<T: DualNum<F>, F> {
pub re: T,
#[cfg_attr(feature = "serde", serde(skip))]
f: PhantomData<F>,
}
#[cfg(feature = "ndarray")]
impl<T: DualNum<F>, F: DualNumFloat> ndarray::ScalarOperand for Real<T, F> {}
impl<T: DualNum<F>, F> Real<T, F> {
#[inline]
pub fn new(re: T) -> Self {
Self { re, f: PhantomData }
}
}
impl<T: DualNum<F> + Zero, F> Real<T, F> {
#[inline]
pub fn from_re(re: T) -> Self {
Self::new(re)
}
}
impl<T: DualNum<F>, F: Float> Real<T, F> {
#[inline]
fn chain_rule(&self, f0: T) -> Self {
Self::new(f0)
}
}
impl<T: DualNum<F>, F: Float> Mul<&Real<T, F>> for &Real<T, F> {
type Output = Real<T, F>;
#[inline]
fn mul(self, other: &Real<T, F>) -> Self::Output {
Real::new(self.re.clone() * other.re.clone())
}
}
impl<T: DualNum<F>, F: Float> Div<&Real<T, F>> for &Real<T, F> {
type Output = Real<T, F>;
#[inline]
#[expect(clippy::suspicious_arithmetic_impl)]
fn div(self, other: &Real<T, F>) -> Real<T, F> {
let inv = other.re.recip();
Real::new(self.re.clone() * inv.clone())
}
}
impl<T: DualNum<F>, F> fmt::Display for Real<T, F> {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
fmt::Display::fmt(&self.re, f)
}
}
impl_zeroth_derivatives!(Real, []);
impl_dual!(Real, []);