retrofire_core/math/space.rs
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//! Linear (vector) spaces and affine spaces.
//!
//! TODO
use core::marker::PhantomData;
use crate::math::vary::{Iter, Vary};
/// Trait for types representing elements of an affine space.
///
/// # TODO
/// * More documentation, definition of affine space
pub trait Affine: Sized {
/// The space that `Self` is the element type of.
type Space;
/// The (signed) difference of two values of `Self`.
/// `Diff` must have the same dimension as `Self`.
type Diff: Linear;
/// The dimension of `Self`.
const DIM: usize;
/// Adds `diff` to `self` component-wise.
///
/// `add` is commutative and associative.
fn add(&self, diff: &Self::Diff) -> Self;
/// Subtracts `other` from `self`, returning the (signed) difference.
///
/// `sub` is anti-commutative: `v.sub(w) == w.sub(v).neg()`.
fn sub(&self, other: &Self) -> Self::Diff;
}
/// Trait for types representing elements of a linear space (vector space).
///
/// A `Linear` type is a type that is `Affine` and
/// additionally satisfies the following conditions:
///
/// * The difference type [`Diff`][Affine::Diff] is equal to `Self`
/// * The type has an additive identity, returned by the [`zero`][Self::zero] method
/// * Every value has an additive inverse, returned by the [`neg`][Self::neg] method
///
/// # TODO
/// * More documentation
pub trait Linear: Affine<Diff = Self> {
/// The scalar type associated with `Self`.
type Scalar: Sized;
/// Returns the additive identity of `Self`.
fn zero() -> Self;
/// Returns the additive inverse of `self`.
fn neg(&self) -> Self;
/// Multiplies all components of `self` by `scalar`.
///
/// `mul` is commutative and associative, and distributes over
/// `add` and `sub` (up to rounding errors):
/// ```
/// # use retrofire_core::math::space::{Affine, Linear};
/// # let [v, w, x, a] = [1.0f32, 2.0, 3.0, 4.0];
/// v.mul(w) == w.mul(v);
/// v.mul(w).mul(x) == v.mul(w.mul(x));
/// v.mul(a).add(&w.mul(a)) == v.add(&w).mul(a);
/// v.mul(a).sub(&w.mul(a)) == v.add(&w).sub(&a);
/// ```
fn mul(&self, scalar: Self::Scalar) -> Self;
}
/// Tag type for real vector spaces (Euclidean spaces) of dimension `DIM`.
/// For example, the type `Real<3>` corresponds to ℝ³.
#[derive(Copy, Clone, Default, Eq, PartialEq)]
pub struct Real<const DIM: usize, Basis = ()>(PhantomData<Basis>);
/// Tag type for the projective 4-space over reals, 𝗣<sub>4</sub>(ℝ).
/// The properties of this space make it useful for implementing perspective
/// projection. Clipping is also done in the projective space.
#[derive(Copy, Clone, Debug, Default, Eq, PartialEq)]
pub struct Proj4;
impl Affine for f32 {
type Space = ();
type Diff = Self;
const DIM: usize = 1;
fn add(&self, other: &f32) -> f32 {
self + other
}
fn sub(&self, other: &f32) -> f32 {
self - other
}
}
impl Linear for f32 {
type Scalar = f32;
fn zero() -> f32 {
0.0
}
fn neg(&self) -> f32 {
-*self
}
fn mul(&self, rhs: f32) -> f32 {
self * rhs
}
}
impl Affine for i32 {
type Space = ();
type Diff = Self;
const DIM: usize = 1;
fn add(&self, rhs: &i32) -> i32 {
self + rhs
}
fn sub(&self, rhs: &i32) -> i32 {
self - rhs
}
}
impl Linear for i32 {
type Scalar = Self;
fn zero() -> i32 {
0
}
fn neg(&self) -> i32 {
-self
}
fn mul(&self, rhs: i32) -> i32 {
self * rhs
}
}
impl Affine for u32 {
type Space = ();
type Diff = i32;
const DIM: usize = 1;
fn add(&self, rhs: &i32) -> u32 {
let (res, o) = self.overflowing_add_signed(*rhs);
debug_assert!(!o, "overflow adding {rhs}_i32 to {self}_u32");
res
}
fn sub(&self, rhs: &u32) -> i32 {
let diff = *self as i64 - *rhs as i64;
debug_assert!(
i32::try_from(diff).is_ok(),
"overflow subtracting {rhs}_u32 from {self}_u32"
);
diff as i32
}
}
impl<V: Clone> Vary for V
where
Self: Linear<Scalar = f32>,
{
type Iter = Iter<Self>;
type Diff = <Self as Affine>::Diff;
#[inline]
fn vary(self, step: Self::Diff, n: Option<u32>) -> Self::Iter {
Iter { val: self, step, n }
}
fn dv_dt(&self, other: &Self, recip_dt: f32) -> Self::Diff {
other.sub(self).mul(recip_dt)
}
/// Adds `delta` to `self`.
#[inline]
fn step(&self, delta: &Self::Diff) -> Self {
self.add(delta)
}
fn z_div(&self, z: f32) -> Self {
self.mul(z.recip())
}
}
#[cfg(test)]
mod tests {
use super::*;
mod f32 {
use super::*;
#[test]
fn affine_ops() {
assert_eq!(f32::DIM, 1);
assert_eq!(1_f32.add(&2_f32), 3_f32);
assert_eq!(3_f32.add(&-2_f32), 1_f32);
assert_eq!(3_f32.sub(&2_f32), 1_f32);
assert_eq!(1_f32.sub(&4_f32), -3_f32);
}
#[test]
fn linear_ops() {
assert_eq!(f32::zero(), 0.0);
assert_eq!(2_f32.neg(), -2_f32);
assert_eq!(-3_f32.neg(), 3_f32);
assert_eq!(3_f32.mul(2_f32), 6_f32);
assert_eq!(3_f32.mul(0.5_f32), 1.5_f32);
assert_eq!(3_f32.mul(-2_f32), -6_f32);
}
}
mod i32 {
use super::*;
#[test]
fn affine_ops() {
assert_eq!(i32::DIM, 1);
assert_eq!(1_i32.add(&2_i32), 3_i32);
assert_eq!(2_i32.add(&-3_i32), -1_i32);
assert_eq!(3_i32.sub(&2_i32), 1_i32);
assert_eq!(3_i32.sub(&4_i32), -1_i32);
}
#[test]
fn linear_ops() {
assert_eq!(i32::zero(), 0);
assert_eq!(2_i32.neg(), -2_i32);
assert_eq!(-3_i32.neg(), 3_i32);
assert_eq!(3_i32.mul(2_i32), 6_i32);
assert_eq!(2_i32.mul(-3_i32), -6_i32);
}
}
mod u32 {
use super::*;
#[test]
fn affine_ops() {
assert_eq!(u32::DIM, 1);
assert_eq!(1_u32.add(&2_i32), 3_u32);
assert_eq!(3_u32.add(&-2_i32), 1_u32);
assert_eq!(3_u32.sub(&2_u32), 1_i32);
assert_eq!(3_u32.sub(&4_u32), -1_i32);
}
#[test]
#[should_panic]
fn affine_add_underflow_should_panic() {
_ = 3_u32.add(&-4_i32);
}
#[test]
#[should_panic]
fn affine_add_overflow_should_panic() {
_ = (u32::MAX / 2 + 2).add(&i32::MAX);
}
#[test]
#[should_panic]
fn affine_sub_underflow_should_panic() {
_ = 3_u32.sub(&u32::MAX);
}
#[test]
#[should_panic]
fn affine_sub_overflow_should_panic() {
_ = u32::MAX.sub(&1_u32);
}
}
}