Added some derives

nalgebra-lapack/src/symmetric_eigen.rs

@@ -93,8 +93,8 @@ where
         let n = nrows.value();
 
         let lda = n as i32;
-        
+
-  // IMPORTANT TODO: this is still UB.
+        // IMPORTANT TODO: this is still UB.
         let mut values =
             unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
         let mut info = 0;

nalgebra-sparse/src/ops/serial/csc.rs

@@ -55,7 +55,7 @@ pub fn spadd_csc_prealloc<T>(
     a: Op<&CscMatrix<T>>,
 ) -> Result<(), OperationError>
 where
-    T: Scalar + ClosedAdd + ClosedMul + Zero + One+PartialEq,
+    T: Scalar + ClosedAdd + ClosedMul + Zero + One + PartialEq,
 {
     assert_compatible_spadd_dims!(c, a);
     spadd_cs_prealloc(beta, &mut c.cs, alpha, a.map_same_op(|a| &a.cs))

src/base/alias.rs

@@ -1,7 +1,6 @@
 #[cfg(any(feature = "alloc", feature = "std"))]
 use crate::base::dimension::Dynamic;
 use crate::base::dimension::{U1, U2, U3, U4, U5, U6};
-use crate::base::storage::InnerOwned;
 #[cfg(any(feature = "std", feature = "alloc"))]
 use crate::base::vec_storage::VecStorage;
 use crate::base::{ArrayStorage, Const, Matrix, Owned, Unit};
@@ -31,7 +30,7 @@ pub type MatrixMN<T, R, C> = OMatrix<T, R, C>;
 ///
 /// **Because this is an alias, not all its methods are listed here. See the [`Matrix`](crate::base::Matrix) type too.**
 #[deprecated(note = "use OMatrix<T, D, D> or SMatrix<T, D, D> instead.")]
-pub type MatrixN<T, D> = Matrix<T, D, D, InnerOwned<T, D, D>>;
+pub type MatrixN<T, D> = Matrix<T, D, D, Owned<T, D, D>>;
 
 /// A statically sized column-major matrix with `R` rows and `C` columns.
 ///
@@ -274,7 +273,7 @@ pub type Matrix6x5<T> = Matrix<T, U6, U5, ArrayStorage<T, 6, 5>>;
 pub type DVector<T> = Matrix<T, Dynamic, U1, VecStorage<T, Dynamic, U1>>;
 
 /// An owned D-dimensional column vector.
-pub type OVector<T, D> = Matrix<T, D, U1, InnerOwned<T, D, U1>>;
+pub type OVector<T, D> = Matrix<T, D, U1, Owned<T, D, U1>>;
 /// A statically sized D-dimensional column vector.
 pub type SVector<T, const D: usize> = Matrix<T, Const<D>, U1, ArrayStorage<T, D, 1>>; // Owned<T, Const<D>, U1>>;
 
@@ -284,7 +283,7 @@ pub type SVector<T, const D: usize> = Matrix<T, Const<D>, U1, ArrayStorage<T, D,
 #[deprecated(
     note = "use SVector for a statically-sized matrix using integer dimensions, or OVector for an owned matrix using types as dimensions."
 )]
-pub type VectorN<T, D> = Matrix<T, D, U1, InnerOwned<T, D, U1>>;
+pub type VectorN<T, D> = Matrix<T, D, U1, Owned<T, D, U1>>;
 
 /// A stack-allocated, 1-dimensional column vector.
 pub type Vector1<T> = Matrix<T, U1, U1, ArrayStorage<T, 1, 1>>;
@@ -311,7 +310,7 @@ pub type Vector6<T> = Matrix<T, U6, U1, ArrayStorage<T, 6, 1>>;
 pub type RowDVector<T> = Matrix<T, U1, Dynamic, VecStorage<T, U1, Dynamic>>;
 
 /// An owned D-dimensional row vector.
-pub type RowOVector<T, D> = Matrix<T, U1, D, InnerOwned<T, U1, D>>;
+pub type RowOVector<T, D> = Matrix<T, U1, D, Owned<T, U1, D>>;
 
 /// A statically sized D-dimensional row vector.
 pub type RowSVector<T, const D: usize> = Matrix<T, U1, Const<D>, ArrayStorage<T, 1, D>>;

src/base/construction.rs

@@ -1,8 +1,6 @@
 #[cfg(all(feature = "alloc", not(feature = "std")))]
 use alloc::vec::Vec;
 
-#[cfg(feature = "arbitrary")]
-use crate::base::storage::InnerOwned;
 #[cfg(feature = "arbitrary")]
 use quickcheck::{Arbitrary, Gen};
 
@@ -898,7 +896,6 @@ impl<T, R: Dim, C: Dim> Arbitrary for OMatrix<T, R, C>
 where
     T: Arbitrary + Send,
     DefaultAllocator: Allocator<T, R, C>,
-    InnerOwned<T, R, C>: Clone + Send,
 {
     #[inline]
     fn arbitrary(g: &mut Gen) -> Self {

src/base/default_allocator.rs

@@ -66,19 +66,14 @@ impl<T, const R: usize, const C: usize> InnerAllocator<T, Const<R>, Const<C>> fo
 
 impl<T, const R: usize, const C: usize> Allocator<T, Const<R>, Const<C>> for DefaultAllocator {
     #[inline]
-    fn allocate_uninitialized(
+    fn allocate_uninitialized(_: Const<R>, _: Const<C>) -> ArrayStorage<MaybeUninit<T>, R, C> {
-        _: Const<R>,
-        _: Const<C>,
-    ) -> InnerOwned<MaybeUninit<T>, Const<R>, Const<C>> {
         // SAFETY: An uninitialized `[MaybeUninit<_>; _]` is valid.
         let array = unsafe { MaybeUninit::uninit().assume_init() };
         ArrayStorage(array)
     }
 
     #[inline]
-    unsafe fn assume_init(
+    unsafe fn assume_init(uninit: ArrayStorage<MaybeUninit<T>, R, C>) -> ArrayStorage<T, R, C> {
-        uninit: <Self as InnerAllocator<MaybeUninit<T>, Const<R>, Const<C>>>::Buffer,
-    ) -> InnerOwned<T, Const<R>, Const<C>> {
         // Safety:
         // * The caller guarantees that all elements of the array are initialized
         // * `MaybeUninit<T>` and T are guaranteed to have the same layout
@@ -89,9 +84,7 @@ impl<T, const R: usize, const C: usize> Allocator<T, Const<R>, Const<C>> for Def
 
     /// Specifies that a given buffer's entries should be manually dropped.
     #[inline]
-    fn manually_drop(
+    fn manually_drop(buf: ArrayStorage<T, R, C>) -> ArrayStorage<ManuallyDrop<T>, R, C> {
-        buf: <Self as InnerAllocator<T, Const<R>, Const<C>>>::Buffer,
-    ) -> <Self as InnerAllocator<ManuallyDrop<T>, Const<R>, Const<C>>>::Buffer {
         // SAFETY:
         // * `ManuallyDrop<T>` and T are guaranteed to have the same layout
         // * `ManuallyDrop` does not drop, so there are no double-frees
@@ -123,7 +116,7 @@ impl<T, C: Dim> InnerAllocator<T, Dynamic, C> for DefaultAllocator {
 
 impl<T, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
     #[inline]
-    fn allocate_uninitialized(nrows: Dynamic, ncols: C) -> InnerOwned<MaybeUninit<T>, Dynamic, C> {
+    fn allocate_uninitialized(nrows: Dynamic, ncols: C) -> VecStorage<MaybeUninit<T>, Dynamic, C> {
         let mut data = Vec::new();
         let length = nrows.value() * ncols.value();
         data.reserve_exact(length);
@@ -134,8 +127,8 @@ impl<T, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
 
     #[inline]
     unsafe fn assume_init(
-        uninit: InnerOwned<MaybeUninit<T>, Dynamic, C>,
+        uninit: VecStorage<MaybeUninit<T>, Dynamic, C>,
-    ) -> InnerOwned<T, Dynamic, C> {
+    ) -> VecStorage<T, Dynamic, C> {
         // Avoids a double-drop.
         let (nrows, ncols) = uninit.shape();
         let vec: Vec<_> = uninit.into();
@@ -150,9 +143,7 @@ impl<T, C: Dim> Allocator<T, Dynamic, C> for DefaultAllocator {
     }
 
     #[inline]
-    fn manually_drop(
+    fn manually_drop(buf: VecStorage<T, Dynamic, C>) -> VecStorage<ManuallyDrop<T>, Dynamic, C> {
-        buf: <Self as InnerAllocator<T, Dynamic, C>>::Buffer,
-    ) -> <Self as InnerAllocator<ManuallyDrop<T>, Dynamic, C>>::Buffer {
         // Avoids a double-drop.
         let (nrows, ncols) = buf.shape();
         let vec: Vec<_> = buf.into();
@@ -178,7 +169,7 @@ impl<T, R: DimName> InnerAllocator<T, R, Dynamic> for DefaultAllocator {
         nrows: R,
         ncols: Dynamic,
         iter: I,
-    ) -> InnerOwned<T, R, Dynamic> {
+    ) -> Self::Buffer {
         let it = iter.into_iter();
         let res: Vec<T> = it.collect();
         assert!(res.len() == nrows.value() * ncols.value(),
@@ -190,7 +181,7 @@ impl<T, R: DimName> InnerAllocator<T, R, Dynamic> for DefaultAllocator {
 
 impl<T, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
     #[inline]
-    fn allocate_uninitialized(nrows: R, ncols: Dynamic) -> InnerOwned<MaybeUninit<T>, R, Dynamic> {
+    fn allocate_uninitialized(nrows: R, ncols: Dynamic) -> VecStorage<MaybeUninit<T>, R, Dynamic> {
         let mut data = Vec::new();
         let length = nrows.value() * ncols.value();
         data.reserve_exact(length);
@@ -201,8 +192,8 @@ impl<T, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
 
     #[inline]
     unsafe fn assume_init(
-        uninit: InnerOwned<MaybeUninit<T>, R, Dynamic>,
+        uninit: VecStorage<MaybeUninit<T>, R, Dynamic>,
-    ) -> InnerOwned<T, R, Dynamic> {
+    ) -> VecStorage<T, R, Dynamic> {
         // Avoids a double-drop.
         let (nrows, ncols) = uninit.shape();
         let vec: Vec<_> = uninit.into();
@@ -217,9 +208,7 @@ impl<T, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
     }
 
     #[inline]
-    fn manually_drop(
+    fn manually_drop(buf: VecStorage<T, R, Dynamic>) -> VecStorage<ManuallyDrop<T>, R, Dynamic> {
-        buf: <Self as InnerAllocator<T, R, Dynamic>>::Buffer,
-    ) -> <Self as InnerAllocator<ManuallyDrop<T>, R, Dynamic>>::Buffer {
         // Avoids a double-drop.
         let (nrows, ncols) = buf.shape();
         let vec: Vec<_> = buf.into();
@@ -239,18 +228,18 @@ impl<T, R: DimName> Allocator<T, R, Dynamic> for DefaultAllocator {
 #[repr(transparent)]
 pub struct Owned<T, R: Dim, C: Dim>(pub InnerOwned<T, R, C>)
 where
-    DefaultAllocator: Allocator<T, R, C>;
+    DefaultAllocator: InnerAllocator<T, R, C>;
 
-impl<T: Copy, R: DimName, C: DimName> Copy for Owned<T, R, C>
+impl<T: Copy, R: Dim, C: Dim> Copy for Owned<T, R, C>
 where
-    DefaultAllocator: Allocator<T, R, C>,
+    DefaultAllocator: InnerAllocator<T, R, C>,
     InnerOwned<T, R, C>: Copy,
 {
 }
 
 impl<T: Clone, R: Dim, C: Dim> Clone for Owned<T, R, C>
 where
-    DefaultAllocator: Allocator<T, R, C>,
+    DefaultAllocator: InnerAllocator<T, R, C>,
 {
     fn clone(&self) -> Self {
         if Self::is_array() {
@@ -260,23 +249,21 @@ where
 
             // We then transmute it back into an array and then an Owned.
             unsafe { mem::transmute_copy(&*vec.as_ptr()) }
-
-            // TODO: check that the auxiliary copy is elided.
         } else {
             // We first clone the data.
             let clone = ManuallyDrop::new(self.as_vec_storage().clone());
 
             // We then transmute it back into an Owned.
             unsafe { mem::transmute_copy(&clone) }
-
-            // TODO: check that the auxiliary copy is elided.
         }
+
+        // TODO: check that the auxiliary copies are elided.
     }
 }
 
 impl<T: fmt::Debug, R: Dim, C: Dim> fmt::Debug for Owned<T, R, C>
 where
-    DefaultAllocator: Allocator<T, R, C>,
+    DefaultAllocator: InnerAllocator<T, R, C>,
 {
     fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
         if Self::is_array() {
@@ -288,22 +275,28 @@ where
     }
 }
 
+impl<T, const R: usize, const C: usize> Owned<T, Const<R>, Const<C>> {
+    fn new(array: [[T; R]; C]) -> Self {
+        Self(ArrayStorage(array))
+    }
+}
+
 impl<T, R: Dim, C: Dim> Owned<T, R, C>
 where
-    DefaultAllocator: Allocator<T, R, C>,
+    DefaultAllocator: InnerAllocator<T, R, C>,
 {
-    /// Returns whether `Self` stores an [`ArrayStorage`].
+    /// Returns whether `Self` stores an [`ArrayStorage`]. This is a zero-cost
-    fn is_array() -> bool {
+    /// operation.
+    const fn is_array() -> bool {
         R::is_static() && C::is_static()
     }
 
     /// Returns whether `Self` stores a [`VecStorage`].
-    fn is_vec() -> bool {
+    const fn is_vec() -> bool {
         !Self::is_array()
     }
 
-    /// Returns the underlying [`VecStorage`]. Does not do any sort of static
+    /// Returns a reference to the underlying [`VecStorage`].
-    /// type checking.
     ///
     /// # Panics
     /// This method will panic if `Self` does not contain a [`VecStorage`].
@@ -311,13 +304,24 @@ where
         assert!(Self::is_vec());
 
         // Safety: `self` is transparent and must contain a `VecStorage`.
-        unsafe { &*(&self as *const _ as *const _) }
+        unsafe { &*(self as *const _ as *const _) }
+    }
+
+    /// Returns a mutable reference to the underlying [`VecStorage`].
+    ///
+    /// # Panics
+    /// This method will panic if `Self` does not contain a [`VecStorage`].
+    fn as_vec_storage_mut(&mut self) -> &mut VecStorage<T, R, C> {
+        assert!(Self::is_vec());
+
+        // Safety: `self` is transparent and must contain a `VecStorage`.
+        unsafe { &mut *(self as *mut _ as *mut _) }
     }
 }
 
 unsafe impl<T, R: Dim, C: Dim> Storage<T, R, C> for Owned<T, R, C>
 where
-    DefaultAllocator: Allocator<T, R, C>,
+    DefaultAllocator: InnerAllocator<T, R, C>,
 {
     type RStride = U1;
 
@@ -349,6 +353,7 @@ where
         }
     }
 
+    #[inline(always)]
     fn is_contiguous(&self) -> bool {
         true
     }
@@ -364,11 +369,13 @@ where
         }
     }
 
-    fn into_owned(self) -> Owned<T, R, C> {
+    #[inline(always)]
+    fn into_owned(self) -> Self {
         self
     }
 
-    fn clone_owned(&self) -> Owned<T, R, C>
+    #[inline(always)]
+    fn clone_owned(&self) -> Self
     where
         T: Clone,
     {
@@ -378,24 +385,35 @@ where
 
 unsafe impl<T, R: Dim, C: Dim> StorageMut<T, R, C> for Owned<T, R, C>
 where
-    DefaultAllocator: Allocator<T, R, C>,
+    DefaultAllocator: InnerAllocator<T, R, C>,
 {
     fn ptr_mut(&mut self) -> *mut T {
-        todo!()
+        if Self::is_array() {
+            &mut self as *mut _ as *mut T
+        } else {
+            self.as_vec_storage_mut().as_vec().as_ptr()
+        }
     }
 
     unsafe fn as_mut_slice_unchecked(&mut self) -> &mut [T] {
-        todo!()
+        if Self::is_array() {
+            std::slice::from_raw_parts(
+                self.ptr_mut(),
+                R::try_to_usize().unwrap() * C::try_to_usize().unwrap(),
+            )
+        } else {
+            self.as_vec_storage_mut().as_vec_mut().as_mut()
+        }
     }
 }
 
 unsafe impl<T, R: Dim, C: Dim> ContiguousStorage<T, R, C> for Owned<T, R, C> where
-    DefaultAllocator: Allocator<T, R, C>
+    DefaultAllocator: InnerAllocator<T, R, C>
 {
 }
 
 unsafe impl<T, R: Dim, C: Dim> ContiguousStorageMut<T, R, C> for Owned<T, R, C> where
-    DefaultAllocator: Allocator<T, R, C>
+    DefaultAllocator: InnerAllocator<T, R, C>
 {
 }
 

src/base/matrix.rs

@@ -153,7 +153,7 @@ 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(transparent)]
-#[derive(Clone,Copy,Debug)]
+#[derive(Clone, Copy, Debug)]
 pub struct Matrix<T, R, C, S> {
     /// The data storage that contains all the matrix components. Disappointed?
     ///

src/base/ops.rs

@@ -16,7 +16,6 @@ use crate::base::constraint::{
 use crate::base::dimension::{Dim, DimMul, DimName, DimProd, Dynamic};
 use crate::base::storage::{ContiguousStorageMut, Storage, StorageMut};
 use crate::base::{DefaultAllocator, Matrix, MatrixSum, OMatrix, Scalar, VectorSlice};
-use crate::storage::InnerOwned;
 use crate::{MatrixSliceMut, SimdComplexField};
 
 /*
@@ -432,11 +431,6 @@ impl<'a, T, C: Dim> iter::Sum<&'a OMatrix<T, Dynamic, C>> for OMatrix<T, Dynamic
 where
     T: Scalar + ClosedAdd + Zero,
     DefaultAllocator: Allocator<T, Dynamic, C>,
-
-    // TODO: we should take out this trait bound, as T: Clone should suffice.
-    // The brute way to do it would be how it was already done: by adding this
-    // trait bound on the associated type itself.
-    InnerOwned<T, Dynamic, C>: Clone,
 {
     /// # Example
     /// ```

src/base/storage.rs

@@ -10,21 +10,19 @@ use crate::base::Owned;
 /*
  * Aliases for allocation results.
  */
-/// The data storage for the sum of two matrices with dimensions `(R1, C1)` and `(R2, C2)`.
-pub type SameShapeStorage<T, R1, C1, R2, C2> =
-    <DefaultAllocator as InnerAllocator<T, SameShapeR<R1, R2>, SameShapeC<C1, C2>>>::Buffer;
 
 // TODO: better name than Owned ?
 /// The owned data storage that can be allocated from `S`.
 pub type InnerOwned<T, R, C = U1> = <DefaultAllocator as InnerAllocator<T, R, C>>::Buffer;
 
+/// The data storage for the sum of two matrices with dimensions `(R1, C1)` and `(R2, C2)`.
+pub type SameShapeStorage<T, R1, C1, R2, C2> = Owned<T, SameShapeR<R1, R2>, SameShapeC<C1, C2>>;
+
 /// The row-stride of the owned data storage for a buffer of dimension `(R, C)`.
-pub type RStride<T, R, C = U1> =
+pub type RStride<T, R, C = U1> = <InnerOwned<T, R, C> as Storage<T, R, C>>::RStride;
-    <<DefaultAllocator as InnerAllocator<T, R, C>>::Buffer as Storage<T, R, C>>::RStride;
 
 /// The column-stride of the owned data storage for a buffer of dimension `(R, C)`.
-pub type CStride<T, R, C = U1> =
+pub type CStride<T, R, C = U1> = <InnerOwned<T, R, C> as Storage<T, R, C>>::CStride;
-    <<DefaultAllocator as InnerAllocator<T, R, C>>::Buffer as Storage<T, R, C>>::CStride;
 
 /// The trait shared by all matrix data storage.
 ///

src/linalg/schur.rs

@@ -1,6 +1,5 @@
 #![allow(clippy::suspicious_operation_groupings)]
 use std::cmp;
-use std::fmt;
 use std::mem::MaybeUninit;
 
 #[cfg(feature = "serde-serialize-no-std")]
@@ -11,10 +10,10 @@ use num_complex::Complex as NumComplex;
 use simba::scalar::{ComplexField, RealField};
 
 use crate::allocator::Allocator;
-use crate::base::dimension::{Const, Dim, DimDiff, DimName, DimSub, Dynamic, U1, U2};
+use crate::base::dimension::{Const, Dim, DimDiff,  DimSub, Dynamic, U1, U2};
 use crate::base::storage::{InnerOwned, Storage};
 use crate::base::{
-    DefaultAllocator, OMatrix, OVector, Owned, SquareMatrix, Unit, Vector2, Vector3,
+    DefaultAllocator, OMatrix, OVector,  SquareMatrix, Unit, Vector2, Vector3,
 };
 
 use crate::geometry::Reflection;
@@ -36,6 +35,7 @@ use crate::linalg::Hessenberg;
     serde(bound(deserialize = "DefaultAllocator: Allocator<T, D, D>,
          OMatrix<T, D, D>: Deserialize<'de>"))
 )]
+#[derive(Clone, Debug)]
 pub struct Schur<T, D: Dim>
 where
     DefaultAllocator: Allocator<T, D, D>,
@@ -44,39 +44,13 @@ where
     t: OMatrix<T, D, D>,
 }
 
-impl<T: Copy, D: DimName> Copy for Schur<T, D>
+impl<T: Copy, D: Dim> Copy for Schur<T, D>
 where
     DefaultAllocator: Allocator<T, D, D>,
-    Owned<T, D, D>: Copy,
+    InnerOwned<T, D, D>: Copy,
 {
 }
 
-impl<T: Clone, D: Dim> Clone for Schur<T, D>
-where
-    DefaultAllocator: Allocator<T, D, D>,
-    InnerOwned<T, D, D>: Clone,
-{
-    fn clone(&self) -> Self {
-        Self {
-            q: self.q.clone(),
-            t: self.t.clone(),
-        }
-    }
-}
-
-impl<T: fmt::Debug, D: Dim> fmt::Debug for Schur<T, D>
-where
-    DefaultAllocator: Allocator<T, D, D>,
-    InnerOwned<T, D, D>: fmt::Debug,
-{
-    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
-        f.debug_struct("Schur")
-            .field("q", &self.q)
-            .field("t", &self.t)
-            .finish()
-    }
-}
-
 impl<T: ComplexField, D: Dim> Schur<T, D>
 where
     D: DimSub<U1>, // For Hessenberg.

src/linalg/svd.rs

@@ -1,5 +1,3 @@
-use std::fmt;
-
 #[cfg(feature = "serde-serialize-no-std")]
 use serde::{Deserialize, Serialize};
 
@@ -41,6 +39,7 @@ use crate::linalg::Bidiagonal;
          OVector<T::RealField, DimMinimum<R, C>>: Deserialize<'de>"
     ))
 )]
+#[derive(Clone, Debug)]
 pub struct SVD<T: ComplexField, R: DimMin<C>, C: Dim>
 where
     DefaultAllocator: Allocator<T, DimMinimum<R, C>, C>
@@ -66,42 +65,6 @@ where
 {
 }
 
-impl<T: ComplexField, R: DimMin<C>, C: Dim> Clone for SVD<T, R, C>
-where
-    DefaultAllocator: Allocator<T, DimMinimum<R, C>, C>
-        + Allocator<T, R, DimMinimum<R, C>>
-        + Allocator<T::RealField, DimMinimum<R, C>>,
-    InnerOwned<T, R, DimMinimum<R, C>>: Clone,
-    InnerOwned<T, DimMinimum<R, C>, C>: Clone,
-    InnerOwned<T::RealField, DimMinimum<R, C>>: Clone,
-{
-    fn clone(&self) -> Self {
-        Self {
-            u: self.u.clone(),
-            v_t: self.v_t.clone(),
-            singular_values: self.singular_values.clone(),
-        }
-    }
-}
-
-impl<T: ComplexField, R: DimMin<C>, C: Dim> fmt::Debug for SVD<T, R, C>
-where
-    DefaultAllocator: Allocator<T, DimMinimum<R, C>, C>
-        + Allocator<T, R, DimMinimum<R, C>>
-        + Allocator<T::RealField, DimMinimum<R, C>>,
-    InnerOwned<T, R, DimMinimum<R, C>>: fmt::Debug,
-    InnerOwned<T, DimMinimum<R, C>, C>: fmt::Debug,
-    InnerOwned<T::RealField, DimMinimum<R, C>>: fmt::Debug,
-{
-    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
-        f.debug_struct("SVD")
-            .field("u", &self.u)
-            .field("v_t", &self.v_t)
-            .field("singular_values", &self.singular_values)
-            .finish()
-    }
-}
-
 impl<T: ComplexField, R: DimMin<C>, C: Dim> SVD<T, R, C>
 where
     DimMinimum<R, C>: DimSub<U1>, // for Bidiagonal.