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macro_rules! implement_scalarops {
($V: ident, $S: ident) => {
// Scalar + Vector
impl std::ops::Add<$V> for $S {
type Output = $V;
#[inline]
fn add(self, rhs: $V) -> $V {
$V::splat(self).add_componentwise(rhs)
}
}
// Scalar - Vector
impl std::ops::Sub<$V> for $S {
type Output = $V;
#[inline]
fn sub(self, rhs: $V) -> $V {
$V::splat(self).sub_componentwise(rhs)
}
}
// Scalar * Vector
impl std::ops::Mul<$V> for $S {
type Output = $V;
#[inline]
fn mul(self, rhs: $V) -> $V {
$V::splat(self).mul_componentwise(rhs)
}
}
// Scalar / Vector
impl std::ops::Div<$V> for $S {
type Output = $V;
#[inline]
fn div(self, rhs: $V) -> $V {
$V::splat(self).div_componentwise(rhs)
}
}
impl crate::traits::ScalarOps<$V> for $S {}
};
}
macro_rules! implement_vecops {
($V: ident, $S: ident) => {
// Zero
impl Default for $V {
#[inline]
fn default() -> $V {
$V::splat(num_traits::zero())
}
}
// Vector + Vector
impl std::ops::Add<$V> for $V {
type Output = $V;
#[inline]
fn add(self, rhs: $V) -> $V {
self.add_componentwise(rhs)
}
}
// Vector += Vector
impl std::ops::AddAssign<$V> for $V {
#[inline]
fn add_assign(&mut self, rhs: $V) {
*self = self.add_componentwise(rhs)
}
}
// Vector - Vector
impl std::ops::Sub<$V> for $V {
type Output = $V;
#[inline]
fn sub(self, rhs: $V) -> $V {
self.sub_componentwise(rhs)
}
}
// Vector -= Vector
impl std::ops::SubAssign<$V> for $V {
#[inline]
fn sub_assign(&mut self, rhs: $V) {
*self = self.sub_componentwise(rhs)
}
}
// Vector * Vector
impl std::ops::Mul<$V> for $V {
type Output = $V;
#[inline]
fn mul(self, rhs: $V) -> $V {
self.mul_componentwise(rhs)
}
}
// Vector *= Vector
impl std::ops::MulAssign<$V> for $V {
#[inline]
fn mul_assign(&mut self, rhs: $V) {
*self = self.mul_componentwise(rhs)
}
}
// Vector / Vector
impl std::ops::Div<$V> for $V {
type Output = $V;
#[inline]
fn div(self, rhs: $V) -> $V {
self.div_componentwise(rhs)
}
}
// Vector /= Vector
impl std::ops::DivAssign<$V> for $V {
#[inline]
fn div_assign(&mut self, rhs: $V) {
*self = self.div_componentwise(rhs)
}
}
// Vector + Scalar
impl std::ops::Add<$S> for $V {
type Output = $V;
#[inline]
fn add(self, rhs: $S) -> $V {
self.add_componentwise(Self::splat(rhs))
}
}
// Vector += Scalar
impl std::ops::AddAssign<$S> for $V {
#[inline]
fn add_assign(&mut self, rhs: $S) {
*self = self.add_componentwise(Self::splat(rhs))
}
}
// Vector - Scalar
impl std::ops::Sub<$S> for $V {
type Output = $V;
#[inline]
fn sub(self, rhs: $S) -> $V {
self.sub_componentwise(Self::splat(rhs))
}
}
// Vector -= Scalar
impl std::ops::SubAssign<$S> for $V {
#[inline]
fn sub_assign(&mut self, rhs: $S) {
*self = self.sub_componentwise(Self::splat(rhs))
}
}
// Vector * Scalar
impl std::ops::Mul<$S> for $V {
type Output = $V;
#[inline]
fn mul(self, rhs: $S) -> $V {
self.mul_componentwise(Self::splat(rhs))
}
}
// Vector *= Scalar
impl std::ops::MulAssign<$S> for $V {
#[inline]
fn mul_assign(&mut self, rhs: $S) {
*self = self.mul_componentwise(Self::splat(rhs))
}
}
// Vector / Scalar
impl std::ops::Div<$S> for $V {
type Output = $V;
#[inline]
fn div(self, rhs: $S) -> $V {
self.div_componentwise(Self::splat(rhs))
}
}
// Vector /= Scalar
impl std::ops::DivAssign<$S> for $V {
#[inline]
fn div_assign(&mut self, rhs: $S) {
*self = self.div_componentwise(Self::splat(rhs))
}
}
// -Vector
impl std::ops::Neg for $V {
type Output = $V;
#[inline]
fn neg(self) -> $V {
$V::splat(num_traits::zero()).sub_componentwise(self)
}
}
// Vector[index]
impl std::ops::Index<usize> for $V {
type Output = $S;
#[inline]
fn index(&self, idx: usize) -> &$S {
&self.as_array()[idx]
}
}
// Vector[index]
impl std::ops::IndexMut<usize> for $V {
#[inline]
fn index_mut(&mut self, idx: usize) -> &mut $S {
&mut self.as_mut_array()[idx]
}
}
// Vector == Vector
impl PartialEq<$V> for $V {
fn eq(&self, rhs: &$V) -> bool {
self.eq_reduce(*rhs)
}
}
impl crate::traits::VecOps<$S> for $V {}
};
}
macro_rules! implement_matops {
($M: ident, $V: ident, $S: ident) => {
// Matrix + Matrix
impl std::ops::Add<$M> for $M {
type Output = $M;
#[inline]
fn add(self, rhs: $M) -> $M {
self.add_componentwise(rhs)
}
}
// Matrix += Matrix
impl std::ops::AddAssign<$M> for $M {
#[inline]
fn add_assign(&mut self, rhs: $M) {
*self = self.add_componentwise(rhs)
}
}
// Matrix - Matrix
impl std::ops::Sub<$M> for $M {
type Output = $M;
#[inline]
fn sub(self, rhs: $M) -> $M {
self.sub_componentwise(rhs)
}
}
// Matrix -= Matrix
impl std::ops::SubAssign<$M> for $M {
#[inline]
fn sub_assign(&mut self, rhs: $M) {
*self = self.sub_componentwise(rhs)
}
}
// Matrix * Vector
impl std::ops::Mul<$V> for $M {
type Output = $V;
#[inline]
fn mul(self, rhs: $V) -> $V {
self.mul_vector(rhs)
}
}
// Matrix * Matrix
impl std::ops::Mul<$M> for $M {
type Output = $M;
#[inline]
fn mul(self, rhs: $M) -> $M {
self.mul_matrix(rhs)
}
}
// Matrix *= Matrix
impl std::ops::MulAssign<$M> for $M {
#[inline]
fn mul_assign(&mut self, rhs: $M) {
*self = self.mul_matrix(rhs)
}
}
// -Matrix
impl std::ops::Neg for $M {
type Output = $M;
#[inline]
fn neg(self) -> $M {
$M::splat(num_traits::zero()).sub_componentwise(self)
}
}
// Matrix[index]
impl std::ops::Index<usize> for $M {
type Output = $V;
#[inline]
fn index(&self, idx: usize) -> &$V {
&self.as_array()[idx]
}
}
// Matrix[index]
impl std::ops::IndexMut<usize> for $M {
#[inline]
fn index_mut(&mut self, idx: usize) -> &mut $V {
&mut self.as_mut_array()[idx]
}
}
impl crate::traits::MatOps<$S, $V> for $M {}
};
}