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Tests work!

This commit is contained in:
Violeta Hernández 2021-07-17 13:30:57 -05:00
parent c01d591478
commit 0687318c7a
3 changed files with 16 additions and 15 deletions
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21
src/base/blas.rs
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@ -757,7 +757,6 @@ where
SB: Storage<T, R2, C2>,
SC: Storage<T, D3>,
ShapeConstraint: DimEq<D, R2> + AreMultipliable<R2, C2, D3, U1>,
// DefaultAllocator: Allocator<T, D>,
{
let dim1 = self.nrows();
let (nrows2, ncols2) = a.shape();
@ -920,7 +919,7 @@ where
// matrixmultiply can be used only if the std feature is available.
let nrows1 = self.nrows();
let (nrows2, ncols2) = a.shape();
let (_, ncols3) = b.shape();
let (nrows3, ncols3) = b.shape();
// Threshold determined empirically.
const SMALL_DIM: usize = 5;
@ -931,7 +930,7 @@ where
&& ncols2 > SMALL_DIM
{
assert_eq!(
ncols1, nrows2,
ncols2, nrows3,
"gemm: dimensions mismatch for multiplication."
);
assert_eq!(
@ -1553,12 +1552,10 @@ where
/// let mid = DMatrix::from_row_slice(3, 3, &[0.1, 0.2, 0.3,
/// 0.5, 0.6, 0.7,
/// 0.9, 1.0, 1.1]);
/// // The random shows that values on the workspace do not
/// // matter as they will be overwritten.
/// let mut workspace = DVector::new_random(2);
///
/// let expected = &lhs * &mid * lhs.transpose() * 10.0 + &mat * 5.0;
///
/// mat.quadform_tr_with_workspace(&mut workspace, 10.0, &lhs, &mid, 5.0);
/// mat.quadform_tr(10.0, &lhs, &mid, 5.0);
/// assert_relative_eq!(mat, expected);
pub fn quadform_tr<R3: Dim, C3: Dim, S3, D4: Dim, S4>(
&mut self,
@ -1603,12 +1600,10 @@ where
/// let mid = DMatrix::from_row_slice(3, 3, &[0.1, 0.2, 0.3,
/// 0.5, 0.6, 0.7,
/// 0.9, 1.0, 1.1]);
/// // The random shows that values on the workspace do not
/// // matter as they will be overwritten.
/// let mut workspace = DVector::new_random(3);
///
/// let expected = rhs.transpose() * &mid * &rhs * 10.0 + &mat * 5.0;
///
/// mat.quadform(&mut workspace, 10.0, &mid, &rhs, 5.0);
/// mat.quadform(10.0, &mid, &rhs, 5.0);
/// assert_relative_eq!(mat, expected);
pub fn quadform<D3: Dim, S3, R4: Dim, C4: Dim, S4>(
&mut self,
@ -1622,9 +1617,9 @@ where
ShapeConstraint: DimEq<R4, D3> + DimEq<D3, R4> + DimEq<D1, C4>,
DefaultAllocator: Allocator<T, D3>,
{
// TODO: figure out why type inference wasn't doing its job.
// TODO: figure out why type inference isn't doing its job.
let mut work =
Matrix::new_uninitialized_generic(D3::from_usize(self.shape().0), Const::<1>);
Matrix::new_uninitialized_generic(D3::from_usize(mid.shape().0), Const::<1>);
work.gemv_z::<D3, D3, R4, S3, _>(T::one(), mid, &rhs.column(0));
let mut work = unsafe { work.assume_init() };

8
src/base/matrix.rs
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@ -152,7 +152,7 @@ pub type MatrixCross<T, R1, C1, R2, C2> =
/// dynamically-sized column vector should be represented as a `Matrix<T, Dynamic, U1, S>` (given
/// some concrete types for `T` and a compatible data storage type `S`).
#[repr(C)]
#[derive(Clone, Copy, Debug)]
#[derive(Clone, Copy)]
pub struct Matrix<T, R, C, S> {
/// The data storage that contains all the matrix components. Disappointed?
///
@ -192,6 +192,12 @@ pub struct Matrix<T, R, C, S> {
_phantoms: PhantomData<(T, R, C)>,
}
impl<T, R: Dim, C: Dim, S: fmt::Debug> fmt::Debug for Matrix<T, R, C, S> {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_struct("Matrix").field("data", &self.data).finish()
}
}
impl<T, R: Dim, C: Dim, S: Default> Default for Matrix<T, R, C, S> {
fn default() -> Self {
unsafe { Matrix::from_data_statically_unchecked(Default::default()) }

2
src/geometry/reflection.rs
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@ -9,7 +9,7 @@ use simba::scalar::ComplexField;
use crate::geometry::Point;
/// A reflection wrt. a plane.
pub struct Reflection<T, D, S> {
pub struct Reflection<T, D:Dim, S> {
axis: Vector<T, D, S>,
bias: T,
}