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RFC: Fix type annotations

This commit is contained in:
Jochen Görtler 2018-11-19 21:21:25 +01:00 committed by Sébastien Crozet
parent 3ac5efeac1
commit 72f61918f4
2 changed files with 9 additions and 7 deletions
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14
src/base/matrix.rs
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@ -20,7 +20,7 @@ use alga::general::{ClosedAdd, ClosedMul, ClosedSub, Real, Ring};
use base::allocator::{Allocator, SameShapeAllocator, SameShapeC, SameShapeR};
use base::constraint::{DimEq, SameNumberOfColumns, SameNumberOfRows, ShapeConstraint};
use base::dimension::{Dim, DimNameAdd, DimAdd, DimNameSum, DimSum, IsNotStaticOne, U1, U2, U3};
use base::dimension::{Dim, DimAdd, DimSum, IsNotStaticOne, U1, U2, U3};
use base::iter::{MatrixIter, MatrixIterMut};
use base::storage::{
ContiguousStorage, ContiguousStorageMut, Owned, SameShapeStorage, Storage, StorageMut,
@ -830,15 +830,17 @@ impl<N: Scalar, D: Dim, S: Storage<N, D, D>> SquareMatrix<N, D, S> {
}
}
impl<N: Scalar + One, D: DimNameAdd<U1> + IsNotStaticOne> MatrixN<N, D> {
impl<N: Scalar + One + Zero, D: Dim + DimAdd<U1> + IsNotStaticOne, S: Storage<N, D, D>> Matrix<N, D, D, S> {
/// Yields the homogeneous matrix for this matrix, i.e., appending an additional dimension and
/// and setting the diagonal element to `1`.
#[inline]
pub fn to_homogeneous(&self) -> MatrixN<N, DimNameSum<D, U1>>
where DefaultAllocator: Allocator<N, DimNameSum<D, U1>, DimNameSum<D, U1>> {
let mut res = MatrixN::<N, DimNameSum<D, U1>>::identity();
res.fixed_slice_mut::<D, D>(0, 0).copy_from(&self);
pub fn to_homogeneous(&self) -> MatrixN<N, DimSum<D, U1>>
where DefaultAllocator: Allocator<N, DimSum<D, U1>, DimSum<D, U1>> {
assert!(self.is_square(), "Only square matrices can currently be transformed to homogeneous coordinates.");
let dim = DimSum::<D, U1>::from_usize(self.nrows() + 1);
let mut res = MatrixN::identity_generic(dim, dim);
res.generic_slice_mut::<D, D>((0, 0), self.data.shape()).copy_from(&self);
res
}

2
tests/core/matrix.rs
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@ -278,7 +278,7 @@ fn to_homogeneous() {
let c = Matrix2::new(1.0, 2.0, 3.0, 4.0);
let expected_c = Matrix3::new(1.0, 2.0, 0.0, 3.0, 4.0, 0.0, 0.0, 0.0, 1.0);
let d = DMatrix::from_row_slice(2, &[1.0, 2.0, 3.0, 4.0]);
let d = DMatrix::from_row_slice(2, 2, &[1.0, 2.0, 3.0, 4.0]);
let expected_d = DMatrix::from_row_slice(3, 3, &[1.0, 2.0, 0.0, 3.0, 4.0, 0.0, 0.0, 0.0, 1.0]);
assert_eq!(a.to_homogeneous(), expected_a);