Fix compilation of nalgebra-lapack
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@ -40,8 +40,8 @@ lapack-src = { version = "0.6", default-features = false }
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# clippy = "*"
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[dev-dependencies]
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nalgebra = { version = "0.25", features = [ "arbitrary" ], path = ".." }
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proptest = { version = "1", default-features = false, features = ["std"] }
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nalgebra = { version = "0.25", features = [ "arbitrary", "rand" ], path = ".." }
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proptest = { version = "1", default-features = false, features = ["std"] }
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quickcheck = "1"
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approx = "0.4"
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rand = "0.8"
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@ -8,7 +8,7 @@ use simba::scalar::RealField;
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use crate::ComplexHelper;
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use na::allocator::Allocator;
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use na::dimension::{Dim, U1};
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use na::dimension::{Const, Dim};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -78,9 +78,9 @@ where
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let lda = n as i32;
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let mut wr = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut wr = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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// TODO: Tap into the workspace.
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let mut wi = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut wi = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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let mut info = 0;
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let mut placeholder1 = [T::zero()];
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@ -247,8 +247,8 @@ where
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let lda = n as i32;
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let mut wr = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut wi = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut wr = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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let mut wi = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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let mut info = 0;
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let mut placeholder1 = [T::zero()];
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@ -291,7 +291,7 @@ where
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);
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lapack_panic!(info);
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let mut res = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut res = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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for i in 0..res.len() {
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res[i] = Complex::new(wr[i], wi[i]);
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@ -3,7 +3,7 @@ use num_complex::Complex;
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use crate::ComplexHelper;
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use na::allocator::Allocator;
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use na::dimension::{DimDiff, DimSub, U1};
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use na::dimension::{Const, DimDiff, DimSub, U1};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -60,7 +60,9 @@ where
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"Unable to compute the hessenberg decomposition of an empty matrix."
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);
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let mut tau = unsafe { Matrix::new_uninitialized_generic(nrows.sub(U1), U1).assume_init() };
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let mut tau = unsafe {
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Matrix::new_uninitialized_generic(nrows.sub(Const::<1>), Const::<1>).assume_init()
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};
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let mut info = 0;
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let lwork =
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@ -3,7 +3,7 @@ use num_complex::Complex;
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use crate::ComplexHelper;
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use na::allocator::Allocator;
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use na::dimension::{Dim, DimMin, DimMinimum, U1};
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use na::dimension::{Const, Dim, DimMin, DimMinimum};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -66,7 +66,7 @@ where
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let nrows = nrows.value() as i32;
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let ncols = ncols.value() as i32;
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let mut ipiv: OVector<i32, _> = Matrix::zeros_generic(min_nrows_ncols, U1);
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let mut ipiv: OVector<i32, _> = Matrix::zeros_generic(min_nrows_ncols, Const::<1>);
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let mut info = 0;
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@ -111,7 +111,7 @@ where
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/// Computing the permutation matrix explicitly is costly and usually not necessary.
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/// To permute rows of a matrix or vector, use the method `self.permute(...)` instead.
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#[inline]
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pub fn p(&self) -> OMatrix<T, R> {
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pub fn p(&self) -> OMatrix<T, R, R> {
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let (dim, _) = self.lu.data.shape();
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let mut id = Matrix::identity_generic(dim, dim);
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self.permute(&mut id);
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@ -6,7 +6,7 @@ use num_complex::Complex;
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use crate::ComplexHelper;
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use na::allocator::Allocator;
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use na::dimension::{Dim, DimMin, DimMinimum, U1};
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use na::dimension::{Const, Dim, DimMin, DimMinimum};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -57,8 +57,9 @@ where
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let (nrows, ncols) = m.data.shape();
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let mut info = 0;
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let mut tau =
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unsafe { Matrix::new_uninitialized_generic(nrows.min(ncols), U1).assume_init() };
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let mut tau = unsafe {
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Matrix::new_uninitialized_generic(nrows.min(ncols), Const::<1>).assume_init()
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};
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if nrows.value() == 0 || ncols.value() == 0 {
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return Self { qr: m, tau: tau };
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@ -8,7 +8,7 @@ use simba::scalar::RealField;
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use crate::ComplexHelper;
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use na::allocator::Allocator;
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use na::dimension::{Dim, U1};
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use na::dimension::{Const, Dim};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -78,8 +78,8 @@ where
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let mut info = 0;
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let mut wr = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut wi = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut wr = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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let mut wi = unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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let mut q = unsafe { Matrix::new_uninitialized_generic(nrows, ncols).assume_init() };
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// Placeholders:
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let mut bwork = [0i32];
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@ -151,8 +151,9 @@ where
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where
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DefaultAllocator: Allocator<Complex<T>, D>,
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{
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let mut out =
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unsafe { OVector::new_uninitialized_generic(self.t.data.shape().0, U1).assume_init() };
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let mut out = unsafe {
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OVector::new_uninitialized_generic(self.t.data.shape().0, Const::<1>).assume_init()
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};
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for i in 0..out.len() {
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out[i] = Complex::new(self.re[i], self.im[i])
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@ -5,7 +5,7 @@ use num::Signed;
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use std::cmp;
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use na::allocator::Allocator;
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use na::dimension::{Dim, DimMin, DimMinimum, U1};
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use na::dimension::{Const, Dim, DimMin, DimMinimum, U1};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -37,9 +37,9 @@ where
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DefaultAllocator: Allocator<T, R, R> + Allocator<T, DimMinimum<R, C>> + Allocator<T, C, C>,
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{
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/// The left-singular vectors `U` of this SVD.
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pub u: OMatrix<T, R>, // TODO: should be OMatrix<T, R, DimMinimum<R, C>>
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pub u: OMatrix<T, R, R>, // TODO: should be OMatrix<T, R, DimMinimum<R, C>>
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/// The right-singular vectors `V^t` of this SVD.
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pub vt: OMatrix<T, C>, // TODO: should be OMatrix<T, DimMinimum<R, C>, C>
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pub vt: OMatrix<T, C, C>, // TODO: should be OMatrix<T, DimMinimum<R, C>, C>
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/// The singular values of this SVD.
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pub singular_values: OVector<T, DimMinimum<R, C>>,
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}
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@ -100,7 +100,7 @@ macro_rules! svd_impl(
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let lda = nrows.value() as i32;
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let mut u = unsafe { Matrix::new_uninitialized_generic(nrows, nrows).assume_init() };
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let mut s = unsafe { Matrix::new_uninitialized_generic(nrows.min(ncols), U1).assume_init() };
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let mut s = unsafe { Matrix::new_uninitialized_generic(nrows.min(ncols), Const::<1>).assume_init() };
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let mut vt = unsafe { Matrix::new_uninitialized_generic(ncols, ncols).assume_init() };
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let ldu = nrows.value();
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@ -8,7 +8,7 @@ use simba::scalar::RealField;
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use crate::ComplexHelper;
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use na::allocator::Allocator;
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use na::dimension::{Dim, U1};
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use na::dimension::{Const, Dim};
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use na::storage::Storage;
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use na::{DefaultAllocator, Matrix, OMatrix, OVector, Scalar};
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@ -94,7 +94,8 @@ where
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let lda = n as i32;
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let mut values = unsafe { Matrix::new_uninitialized_generic(nrows, U1).assume_init() };
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let mut values =
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unsafe { Matrix::new_uninitialized_generic(nrows, Const::<1>).assume_init() };
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let mut info = 0;
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let lwork = T::xsyev_work_size(jobz, b'L', n as i32, m.as_mut_slice(), lda, &mut info);
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@ -101,7 +101,7 @@ pub fn dvector() -> impl Strategy<Value = DVector<f64>> {
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pub fn dmatrix_<ScalarStrategy>(
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scalar_strategy: ScalarStrategy,
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) -> impl Strategy<Value = DMatrix<ScalarStrategy::Value>>
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) -> impl Strategy<Value = OMatrix<ScalarStrategy::Value, Dynamic, Dynamic>>
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where
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ScalarStrategy: Strategy + Clone + 'static,
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ScalarStrategy::Value: Scalar,
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