use crate::{Allocator, ArgminMul, SameShapeAllocator};
use crate::ClosedMul;
use nalgebra::{
base::{
constraint::{SameNumberOfColumns, SameNumberOfRows, ShapeConstraint},
dimension::Dim,
storage::Storage,
MatrixSum, Scalar,
},
DefaultAllocator, Matrix, OMatrix,
};
impl<N, R, C, S> ArgminMul<N, OMatrix<N, R, C>> for Matrix<N, R, C, S>
where
N: Scalar + Copy + ClosedMul,
R: Dim,
C: Dim,
S: Storage<N, R, C>,
DefaultAllocator: Allocator<N, R, C>,
{
#[inline]
fn mul(&self, other: &N) -> OMatrix<N, R, C> {
self * *other
}
}
impl<N, R, C, S> ArgminMul<Matrix<N, R, C, S>, OMatrix<N, R, C>> for N
where
N: Scalar + Copy + ClosedMul,
R: Dim,
C: Dim,
S: Storage<N, R, C>,
DefaultAllocator: Allocator<N, R, C>,
{
#[inline]
fn mul(&self, other: &Matrix<N, R, C, S>) -> OMatrix<N, R, C> {
other * *self
}
}
impl<N, R1, R2, C1, C2, SA, SB> ArgminMul<Matrix<N, R2, C2, SB>, MatrixSum<N, R1, C1, R2, C2>>
for Matrix<N, R1, C1, SA>
where
N: Scalar + ClosedMul,
R1: Dim,
R2: Dim,
C1: Dim,
C2: Dim,
SA: Storage<N, R1, C1>,
SB: Storage<N, R2, C2>,
DefaultAllocator: SameShapeAllocator<N, R1, C1, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
{
#[inline]
fn mul(&self, other: &Matrix<N, R2, C2, SB>) -> MatrixSum<N, R1, C1, R2, C2> {
self.component_mul(other)
}
}
#[cfg(test)]
mod tests {
use super::*;
use approx::assert_relative_eq;
use nalgebra::{Matrix2x3, Vector3};
use paste::item;
macro_rules! make_test {
($t:ty) => {
item! {
#[test]
fn [<test_mul_vec_scalar_ $t>]() {
let a = Vector3::new(1 as $t, 4 as $t, 8 as $t);
let b = 2 as $t;
let target = Vector3::new(2 as $t, 8 as $t, 16 as $t);
let res = <Vector3<$t> as ArgminMul<$t, Vector3<$t>>>::mul(&a, &b);
for i in 0..3 {
assert_relative_eq!(target[i] as f64, res[i] as f64, epsilon = f64::EPSILON);
}
}
}
item! {
#[test]
fn [<test_mul_scalar_vec_ $t>]() {
let a = Vector3::new(1 as $t, 4 as $t, 8 as $t);
let b = 2 as $t;
let target = Vector3::new(2 as $t, 8 as $t, 16 as $t);
let res = <$t as ArgminMul<Vector3<$t>, Vector3<$t>>>::mul(&b, &a);
for i in 0..3 {
assert_relative_eq!(target[i] as f64, res[i] as f64, epsilon = f64::EPSILON);
}
}
}
item! {
#[test]
fn [<test_mul_vec_vec_ $t>]() {
let a = Vector3::new(1 as $t, 4 as $t, 8 as $t);
let b = Vector3::new(2 as $t, 3 as $t, 4 as $t);
let target = Vector3::new(2 as $t, 12 as $t, 32 as $t);
let res = <Vector3<$t> as ArgminMul<Vector3<$t>, Vector3<$t>>>::mul(&a, &b);
for i in 0..3 {
assert_relative_eq!(target[i] as f64, res[i] as f64, epsilon = f64::EPSILON);
}
}
}
item! {
#[test]
fn [<test_mul_mat_mat_ $t>]() {
let a = Matrix2x3::new(
1 as $t, 4 as $t, 8 as $t,
2 as $t, 5 as $t, 9 as $t
);
let b = Matrix2x3::new(
2 as $t, 3 as $t, 4 as $t,
3 as $t, 4 as $t, 5 as $t
);
let target = Matrix2x3::new(
2 as $t, 12 as $t, 32 as $t,
6 as $t, 20 as $t, 45 as $t
);
let res = <Matrix2x3<$t> as ArgminMul<Matrix2x3<$t>, Matrix2x3<$t>>>::mul(&a, &b);
for i in 0..3 {
for j in 0..2 {
assert_relative_eq!(target[(j, i)] as f64, res[(j, i)] as f64, epsilon = f64::EPSILON);
}
}
}
}
item! {
#[test]
fn [<test_mul_scalar_mat_1_ $t>]() {
let a = Matrix2x3::new(
1 as $t, 4 as $t, 8 as $t,
2 as $t, 5 as $t, 9 as $t
);
let b = 2 as $t;
let target = Matrix2x3::new(
2 as $t, 8 as $t, 16 as $t,
4 as $t, 10 as $t, 18 as $t
);
let res = <Matrix2x3<$t> as ArgminMul<$t, Matrix2x3<$t>>>::mul(&a, &b);
for i in 0..3 {
for j in 0..2 {
assert_relative_eq!(target[(j, i)] as f64, res[(j, i)] as f64, epsilon = f64::EPSILON);
}
}
}
}
item! {
#[test]
fn [<test_mul_scalar_mat_2_ $t>]() {
let b = Matrix2x3::new(
1 as $t, 4 as $t, 8 as $t,
2 as $t, 5 as $t, 9 as $t
);
let a = 2 as $t;
let target = Matrix2x3::new(
2 as $t, 8 as $t, 16 as $t,
4 as $t, 10 as $t, 18 as $t
);
let res = <$t as ArgminMul<Matrix2x3<$t>, Matrix2x3<$t>>>::mul(&a, &b);
for i in 0..3 {
for j in 0..2 {
assert_relative_eq!(target[(j, i)] as f64, res[(j, i)] as f64, epsilon = f64::EPSILON);
}
}
}
}
};
}
make_test!(i8);
make_test!(u8);
make_test!(i16);
make_test!(u16);
make_test!(i32);
make_test!(u32);
make_test!(i64);
make_test!(u64);
make_test!(f32);
make_test!(f64);
}