forked from M-Labs/nalgebra
Fix compilation of the sparse module.
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ee32f7d4cf
commit
234e103e4b
@ -460,7 +460,7 @@ where
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{
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{
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// Size = R
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// Size = R
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let nrows = self.data.shape().0;
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let nrows = self.data.shape().0;
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let mut workspace = unsafe { VectorN::new_uninitialized_generic(nrows, U1) };
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let mut workspace = unsafe { crate::unimplemented_or_uninitialized_generic!(nrows, U1) };
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self.sort_with_workspace(workspace.as_mut_slice());
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self.sort_with_workspace(workspace.as_mut_slice());
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}
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}
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@ -48,8 +48,10 @@ where
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let (l, u) = Self::nonzero_pattern(m);
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let (l, u) = Self::nonzero_pattern(m);
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// Workspaces.
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// Workspaces.
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let work_x = unsafe { VectorN::new_uninitialized_generic(m.data.shape().0, U1) };
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let work_x =
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let work_c = unsafe { VectorN::new_uninitialized_generic(m.data.shape().1, U1) };
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unsafe { crate::unimplemented_or_uninitialized_generic!(m.data.shape().0, U1) };
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let work_c =
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unsafe { crate::unimplemented_or_uninitialized_generic!(m.data.shape().1, U1) };
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let mut original_p = m.data.p.as_slice().to_vec();
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let mut original_p = m.data.p.as_slice().to_vec();
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original_p.push(m.data.i.len());
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original_p.push(m.data.i.len());
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@ -291,7 +293,8 @@ where
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let etree = Self::elimination_tree(m);
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let etree = Self::elimination_tree(m);
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let (nrows, ncols) = m.data.shape();
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let (nrows, ncols) = m.data.shape();
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let mut rows = Vec::with_capacity(m.len());
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let mut rows = Vec::with_capacity(m.len());
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let mut cols = unsafe { VectorN::new_uninitialized_generic(m.data.shape().0, U1) };
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let mut cols =
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unsafe { crate::unimplemented_or_uninitialized_generic!(m.data.shape().0, U1) };
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let mut marks = Vec::new();
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let mut marks = Vec::new();
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// NOTE: the following will actually compute the non-zero pattern of
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// NOTE: the following will actually compute the non-zero pattern of
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@ -242,7 +242,7 @@ where
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let mut res = CsMatrix::new_uninitialized_generic(nrows1, ncols2, self.len() + rhs.len());
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let mut res = CsMatrix::new_uninitialized_generic(nrows1, ncols2, self.len() + rhs.len());
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let mut timestamps = VectorN::zeros_generic(nrows1, U1);
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let mut timestamps = VectorN::zeros_generic(nrows1, U1);
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let mut workspace = unsafe { VectorN::new_uninitialized_generic(nrows1, U1) };
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let mut workspace = unsafe { crate::unimplemented_or_uninitialized_generic!(nrows1, U1) };
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let mut nz = 0;
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let mut nz = 0;
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for j in 0..ncols2.value() {
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for j in 0..ncols2.value() {
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@ -149,7 +149,8 @@ impl<N: RealField, D: Dim, S: CsStorage<N, D, D>> CsMatrix<N, D, D, S> {
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self.lower_triangular_reach(b, &mut reach);
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self.lower_triangular_reach(b, &mut reach);
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// We sort the reach so the result matrix has sorted indices.
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// We sort the reach so the result matrix has sorted indices.
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reach.sort();
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reach.sort();
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let mut workspace = unsafe { VectorN::new_uninitialized_generic(b.data.shape().0, U1) };
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let mut workspace =
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unsafe { crate::unimplemented_or_uninitialized_generic!(b.data.shape().0, U1) };
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for i in reach.iter().cloned() {
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for i in reach.iter().cloned() {
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workspace[i] = N::zero();
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workspace[i] = N::zero();
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