571 lines
23 KiB
Rust
571 lines
23 KiB
Rust
use num::{Zero, One};
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use std::ops::{Index, IndexMut, Mul, MulAssign, Div, DivAssign};
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use alga::general::{Real, ClosedAdd, ClosedMul, SubsetOf};
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use core::{DefaultAllocator, Scalar, VectorN, MatrixN};
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use core::allocator::Allocator;
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use core::dimension::{DimName, DimNameAdd, DimNameSum, U1, U3, U4};
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use geometry::{Point, Transform, TCategory, TCategoryMul,
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SubTCategoryOf, SuperTCategoryOf, TGeneral, TProjective, TAffine, Rotation,
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UnitQuaternion, Isometry, Similarity, Translation};
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/*
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*
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* In the following, we provide:
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* =========================
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*
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* Index<(usize, usize)>
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* IndexMut<(usize, usize)> (where TCategory == TGeneral)
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*
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* (Operators)
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*
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* Transform × Isometry
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* Transform × Rotation
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* Transform × Similarity
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* Transform × Transform
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* Transform × UnitQuaternion
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* FIXME: Transform × UnitComplex
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* Transform × Translation
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* Transform × Vector
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* Transform × Point
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*
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* Isometry × Transform
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* Rotation × Transform
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* Similarity × Transform
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* Translation × Transform
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* UnitQuaternion × Transform
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* FIXME: UnitComplex × Transform
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*
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* FIXME: Transform ÷ Isometry
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* Transform ÷ Rotation
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* FIXME: Transform ÷ Similarity
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* Transform ÷ Transform
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* Transform ÷ UnitQuaternion
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* Transform ÷ Translation
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*
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* FIXME: Isometry ÷ Transform
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* Rotation ÷ Transform
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* FIXME: Similarity ÷ Transform
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* Translation ÷ Transform
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* UnitQuaternion ÷ Transform
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* FIXME: UnitComplex ÷ Transform
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*
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*
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* (Assignment Operators)
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*
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*
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* Transform ×= Transform
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* Transform ×= Similarity
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* Transform ×= Isometry
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* Transform ×= Rotation
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* Transform ×= UnitQuaternion
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* FIXME: Transform ×= UnitComplex
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* Transform ×= Translation
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*
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* Transform ÷= Transform
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* FIXME: Transform ÷= Similarity
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* FIXME: Transform ÷= Isometry
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* Transform ÷= Rotation
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* Transform ÷= UnitQuaternion
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* FIXME: Transform ÷= UnitComplex
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*
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*/
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/*
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*
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* Indexing.
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*
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*/
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impl<N: Real, D, C: TCategory> Index<(usize, usize)> for Transform<N, D, C>
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where D: DimName + DimNameAdd<U1>,
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DefaultAllocator: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1>> {
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type Output = N;
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#[inline]
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fn index(&self, ij: (usize, usize)) -> &N {
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self.matrix().index(ij)
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}
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}
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// Only general transformations are mutably indexable.
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impl<N: Real, D> IndexMut<(usize, usize)> for Transform<N, D, TGeneral>
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where D: DimName + DimNameAdd<U1>,
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DefaultAllocator: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1>> {
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#[inline]
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fn index_mut(&mut self, ij: (usize, usize)) -> &mut N {
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self.matrix_mut().index_mut(ij)
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}
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}
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// Transform × Vector
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1) for D: DimNameAdd<U1>, C: TCategory;
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self: Transform<N, D, C>, rhs: VectorN<N, D>, Output = VectorN<N, D>;
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[val val] => &self * &rhs;
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[ref val] => self * &rhs;
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[val ref] => &self * rhs;
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[ref ref] => {
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let transform = self.matrix().fixed_slice::<D, D>(0, 0);
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if C::has_normalizer() {
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let normalizer = self.matrix().fixed_slice::<U1, D>(D::dim(), 0);
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let n = normalizer.tr_dot(&rhs);
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if !n.is_zero() {
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return transform * (rhs / n);
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}
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}
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transform * rhs
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};
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);
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// Transform × Point
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1) for D: DimNameAdd<U1>, C: TCategory
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where DefaultAllocator: Allocator<N, D, D>;
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self: Transform<N, D, C>, rhs: Point<N, D>, Output = Point<N, D>;
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[val val] => &self * &rhs;
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[ref val] => self * &rhs;
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[val ref] => &self * rhs;
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[ref ref] => {
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let transform = self.matrix().fixed_slice::<D, D>(0, 0);
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let translation = self.matrix().fixed_slice::<D, U1>(0, D::dim());
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if C::has_normalizer() {
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let normalizer = self.matrix().fixed_slice::<U1, D>(D::dim(), 0);
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let n = normalizer.tr_dot(&rhs.coords) + unsafe { *self.matrix().get_unchecked(D::dim(), D::dim()) };
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if !n.is_zero() {
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return transform * (rhs / n) + translation;
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}
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}
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transform * rhs + translation
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};
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);
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// Transform × Transform
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (DimNameSum<D, U1>, DimNameSum<D, U1>) for D: DimNameAdd<U1>, CA: TCategoryMul<CB>, CB: TCategory;
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self: Transform<N, D, CA>, rhs: Transform<N, D, CB>, Output = Transform<N, D, CA::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.unwrap());
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[ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.unwrap());
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[val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.matrix());
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[ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.matrix());
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);
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// Transform × Rotation
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, D) for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
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self: Transform<N, D, C>, rhs: Rotation<N, D>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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[val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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);
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// Rotation × Transform
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md_impl_all!(
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Mul, mul where N: Real;
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(D, D), (DimNameSum<D, U1>, DimNameSum<D, U1>) for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
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self: Rotation<N, D>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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[ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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);
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// Transform × UnitQuaternion
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md_impl_all!(
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Mul, mul where N: Real;
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(U4, U4), (U4, U1) for C: TCategoryMul<TAffine>;
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self: Transform<N, U3, C>, rhs: UnitQuaternion<N>, Output = Transform<N, U3, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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[val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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);
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// UnitQuaternion × Transform
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md_impl_all!(
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Mul, mul where N: Real;
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(U4, U1), (U4, U4) for C: TCategoryMul<TAffine>;
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self: UnitQuaternion<N>, rhs: Transform<N, U3, C>, Output = Transform<N, U3, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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[ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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);
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// Transform × Isometry
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
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for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
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self: Transform<N, D, C>, rhs: Isometry<N, D, R>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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[val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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);
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// Isometry × Transform
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md_impl_all!(
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Mul, mul where N: Real;
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(D, U1), (DimNameSum<D, U1>, DimNameSum<D, U1>)
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for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
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self: Isometry<N, D, R>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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[ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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);
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// Transform × Similarity
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
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for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
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self: Transform<N, D, C>, rhs: Similarity<N, D, R>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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[val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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);
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// Similarity × Transform
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md_impl_all!(
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Mul, mul where N: Real;
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(D, U1), (DimNameSum<D, U1>, DimNameSum<D, U1>)
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for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
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self: Similarity<N, D, R>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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[ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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);
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/*
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*
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* FIXME: don't explicitly build the homogeneous translation matrix.
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* Directly apply the translation, just as in `Matrix::{append,prepend}_translation`. This has not
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* been done yet because of the `DimNameDiff` requirement (which is not automatically deduced from
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* `DimNameAdd` requirement).
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*
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*/
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// Transform × Translation
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md_impl_all!(
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Mul, mul where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1) for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
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self: Transform<N, D, C>, rhs: Translation<N, D>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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[val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
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[ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
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);
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// Translation × Transform
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md_impl_all!(
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Mul, mul where N: Real;
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(D, U1), (DimNameSum<D, U1>, DimNameSum<D, U1>)
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for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
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self: Translation<N, D>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
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[val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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[val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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[ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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);
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// Transform ÷ Transform
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md_impl_all!(
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Div, div where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (DimNameSum<D, U1>, DimNameSum<D, U1>) for D: DimNameAdd<U1>, CA: TCategoryMul<CB>, CB: SubTCategoryOf<TProjective>;
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self: Transform<N, D, CA>, rhs: Transform<N, D, CB>, Output = Transform<N, D, CA::Representative>;
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[val val] => self * rhs.inverse();
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[ref val] => self * rhs.inverse();
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[val ref] => self * rhs.clone().inverse();
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[ref ref] => self * rhs.clone().inverse();
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);
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// Transform ÷ Rotation
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md_impl_all!(
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Div, div where N: Real;
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(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, D) for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
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self: Transform<N, D, C>, rhs: Rotation<N, D>, Output = Transform<N, D, C::Representative>;
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[val val] => self * rhs.inverse();
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[ref val] => self * rhs.inverse();
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[val ref] => self * rhs.inverse();
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[ref ref] => self * rhs.inverse();
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);
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// Rotation ÷ Transform
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md_impl_all!(
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Div, div where N: Real;
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(D, D), (DimNameSum<D, U1>, DimNameSum<D, U1>) for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
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self: Rotation<N, D>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
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[val val] => self.inverse() * rhs;
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[ref val] => self.inverse() * rhs;
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[val ref] => self.inverse() * rhs;
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[ref ref] => self.inverse() * rhs;
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);
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// Transform ÷ UnitQuaternion
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md_impl_all!(
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Div, div where N: Real;
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(U4, U4), (U4, U1) for C: TCategoryMul<TAffine>;
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self: Transform<N, U3, C>, rhs: UnitQuaternion<N>, Output = Transform<N, U3, C::Representative>;
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[val val] => self * rhs.inverse();
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[ref val] => self * rhs.inverse();
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[val ref] => self * rhs.inverse();
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[ref ref] => self * rhs.inverse();
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);
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// UnitQuaternion ÷ Transform
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md_impl_all!(
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Div, div where N: Real;
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(U4, U1), (U4, U4) for C: TCategoryMul<TAffine>;
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self: UnitQuaternion<N>, rhs: Transform<N, U3, C>, Output = Transform<N, U3, C::Representative>;
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[val val] => self.inverse() * rhs;
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[ref val] => self.inverse() * rhs;
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[val ref] => self.inverse() * rhs;
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[ref ref] => self.inverse() * rhs;
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);
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// // Transform ÷ Isometry
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// md_impl_all!(
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// Div, div where N: Real;
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// (DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
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// for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >
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// where SB::Alloc: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1> >;
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// self: Transform<N, D, C>, rhs: Isometry<N, D, R>, Output = Transform<N, D, C::Representative>;
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// [val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.inverse().to_homogeneous());
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// [ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.inverse().to_homogeneous());
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// [val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.inverse().to_homogeneous());
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// [ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.inverse().to_homogeneous());
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// );
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// // Isometry ÷ Transform
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// md_impl_all!(
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// Div, div where N: Real;
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// (D, U1), (DimNameSum<D, U1>, DimNameSum<D, U1>)
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// for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >
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// where SA::Alloc: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1> >;
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// self: Isometry<N, D, R>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
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// [val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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// [ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
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// [val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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// [ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
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// );
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// // Transform ÷ Similarity
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// md_impl_all!(
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// Div, div where N: Real;
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// (DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
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// for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >
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// where SB::Alloc: Allocator<N, D, D >
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// where SB::Alloc: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1> >;
|
||
// self: Transform<N, D, C>, rhs: Similarity<N, D, R>, Output = Transform<N, D, C::Representative>;
|
||
// [val val] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
|
||
// [ref val] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
|
||
// [val ref] => Self::Output::from_matrix_unchecked(self.unwrap() * rhs.to_homogeneous());
|
||
// [ref ref] => Self::Output::from_matrix_unchecked(self.matrix() * rhs.to_homogeneous());
|
||
// );
|
||
|
||
// // Similarity ÷ Transform
|
||
// md_impl_all!(
|
||
// Div, div where N: Real;
|
||
// (D, U1), (DimNameSum<D, U1>, DimNameSum<D, U1>)
|
||
// for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >
|
||
// where SA::Alloc: Allocator<N, D, D >
|
||
// where SA::Alloc: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1> >;
|
||
// self: Similarity<N, D, R>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
|
||
// [val val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
|
||
// [ref val] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.unwrap());
|
||
// [val ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
|
||
// [ref ref] => Self::Output::from_matrix_unchecked(self.to_homogeneous() * rhs.matrix());
|
||
// );
|
||
|
||
|
||
|
||
// Transform ÷ Translation
|
||
md_impl_all!(
|
||
Div, div where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1) for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
|
||
self: Transform<N, D, C>, rhs: Translation<N, D>, Output = Transform<N, D, C::Representative>;
|
||
[val val] => self * rhs.inverse();
|
||
[ref val] => self * rhs.inverse();
|
||
[val ref] => self * rhs.inverse();
|
||
[ref ref] => self * rhs.inverse();
|
||
);
|
||
|
||
// Translation ÷ Transform
|
||
md_impl_all!(
|
||
Div, div where N: Real;
|
||
(D, U1), (DimNameSum<D, U1>, DimNameSum<D, U1>)
|
||
for D: DimNameAdd<U1>, C: TCategoryMul<TAffine>;
|
||
self: Translation<N, D>, rhs: Transform<N, D, C>, Output = Transform<N, D, C::Representative>;
|
||
[val val] => self.inverse() * rhs;
|
||
[ref val] => self.inverse() * rhs;
|
||
[val ref] => self.inverse() * rhs;
|
||
[ref ref] => self.inverse() * rhs;
|
||
);
|
||
|
||
|
||
// Transform ×= Transform
|
||
md_assign_impl_all!(
|
||
MulAssign, mul_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (DimNameSum<D, U1>, DimNameSum<D, U1>) for D: DimNameAdd<U1>, CA: TCategory, CB: SubTCategoryOf<CA>;
|
||
self: Transform<N, D, CA>, rhs: Transform<N, D, CB>;
|
||
[val] => *self.matrix_mut_unchecked() *= rhs.unwrap();
|
||
[ref] => *self.matrix_mut_unchecked() *= rhs.matrix();
|
||
);
|
||
|
||
|
||
// Transform ×= Similarity
|
||
md_assign_impl_all!(
|
||
MulAssign, mul_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
|
||
for D: DimNameAdd<U1>, C: TCategory, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
|
||
self: Transform<N, D, C>, rhs: Similarity<N, D, R>;
|
||
[val] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
[ref] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
);
|
||
|
||
|
||
// Transform ×= Isometry
|
||
md_assign_impl_all!(
|
||
MulAssign, mul_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
|
||
for D: DimNameAdd<U1>, C: TCategory, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
|
||
self: Transform<N, D, C>, rhs: Isometry<N, D, R>;
|
||
[val] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
[ref] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
);
|
||
|
||
/*
|
||
*
|
||
* FIXME: don't explicitly build the homogeneous translation matrix.
|
||
* Directly apply the translation, just as in `Matrix::{append,prepend}_translation`. This has not
|
||
* been done yet because of the `DimNameDiff` requirement (which is not automatically deduced from
|
||
* `DimNameAdd` requirement).
|
||
*
|
||
*/
|
||
// Transform ×= Translation
|
||
md_assign_impl_all!(
|
||
MulAssign, mul_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1) for D: DimNameAdd<U1>, C: TCategory;
|
||
self: Transform<N, D, C>, rhs: Translation<N, D>;
|
||
[val] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
[ref] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
);
|
||
|
||
|
||
// Transform ×= Rotation
|
||
md_assign_impl_all!(
|
||
MulAssign, mul_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, D) for D: DimNameAdd<U1>, C: TCategory;
|
||
self: Transform<N, D, C>, rhs: Rotation<N, D>;
|
||
[val] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
[ref] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
);
|
||
|
||
|
||
// Transform ×= UnitQuaternion
|
||
md_assign_impl_all!(
|
||
MulAssign, mul_assign where N: Real;
|
||
(U4, U4), (U4, U1) for C: TCategory;
|
||
self: Transform<N, U3, C>, rhs: UnitQuaternion<N>;
|
||
[val] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
[ref] => *self.matrix_mut_unchecked() *= rhs.to_homogeneous();
|
||
);
|
||
|
||
|
||
// Transform ÷= Transform
|
||
md_assign_impl_all!(
|
||
DivAssign, div_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (DimNameSum<D, U1>, DimNameSum<D, U1>)
|
||
for D: DimNameAdd<U1>, CA: SuperTCategoryOf<CB>, CB: SubTCategoryOf<TProjective>;
|
||
self: Transform<N, D, CA>, rhs: Transform<N, D, CB>;
|
||
[val] => *self *= rhs.inverse();
|
||
[ref] => *self *= rhs.clone().inverse();
|
||
);
|
||
|
||
|
||
// // Transform ÷= Similarity
|
||
// md_assign_impl_all!(
|
||
// DivAssign, div_assign;
|
||
// (DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
|
||
// for D: DimNameAdd<U1>, C: TCategory, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
|
||
// self: Transform<N, D, C>, rhs: Similarity<N, D, R>;
|
||
// [val] => *self *= rhs.inverse();
|
||
// [ref] => *self *= rhs.inverse();
|
||
// );
|
||
//
|
||
//
|
||
// // Transform ÷= Isometry
|
||
// md_assign_impl_all!(
|
||
// DivAssign, div_assign;
|
||
// (DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1)
|
||
// for D: DimNameAdd<U1>, C: TCategory, R: SubsetOf<MatrixN<N, DimNameSum<D, U1>> >;
|
||
// self: Transform<N, D, C>, rhs: Isometry<N, D, R>;
|
||
// [val] => *self *= rhs.inverse();
|
||
// [ref] => *self *= rhs.inverse();
|
||
// );
|
||
|
||
|
||
// Transform ÷= Translation
|
||
md_assign_impl_all!(
|
||
DivAssign, div_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, U1) for D: DimNameAdd<U1>, C: TCategory;
|
||
self: Transform<N, D, C>, rhs: Translation<N, D>;
|
||
[val] => *self *= rhs.inverse();
|
||
[ref] => *self *= rhs.inverse();
|
||
);
|
||
|
||
|
||
// Transform ÷= Rotation
|
||
md_assign_impl_all!(
|
||
DivAssign, div_assign where N: Real;
|
||
(DimNameSum<D, U1>, DimNameSum<D, U1>), (D, D) for D: DimNameAdd<U1>, C: TCategory;
|
||
self: Transform<N, D, C>, rhs: Rotation<N, D>;
|
||
[val] => *self *= rhs.inverse();
|
||
[ref] => *self *= rhs.inverse();
|
||
);
|
||
|
||
|
||
// Transform ÷= UnitQuaternion
|
||
md_assign_impl_all!(
|
||
DivAssign, div_assign where N: Real;
|
||
(U4, U4), (U4, U1) for C: TCategory;
|
||
self: Transform<N, U3, C>, rhs: UnitQuaternion<N>;
|
||
[val] => *self *= rhs.inverse();
|
||
[ref] => *self *= rhs.inverse();
|
||
);
|