Make lax submodules private

Author: termoshtt

lax/src/lib.rs

@@ -68,21 +68,22 @@ extern crate openblas_src as _src;
 #[cfg(any(feature = "netlib-system", feature = "netlib-static"))]
 extern crate netlib_src as _src;
 
-pub mod cholesky;
-pub mod eig;
-pub mod eigh;
 pub mod error;
 pub mod layout;
-pub mod least_squares;
-pub mod opnorm;
-pub mod qr;
-pub mod rcond;
-pub mod solve;
-pub mod solveh;
-pub mod svd;
-pub mod svddc;
-pub mod triangular;
-pub mod tridiagonal;
+
+mod cholesky;
+mod eig;
+mod eigh;
+mod least_squares;
+mod opnorm;
+mod qr;
+mod rcond;
+mod solve;
+mod solveh;
+mod svd;
+mod svddc;
+mod triangular;
+mod tridiagonal;
 
 pub use self::cholesky::*;
 pub use self::eig::*;
@@ -159,7 +160,7 @@ pub enum NormType {
 }
 
 impl NormType {
-    pub(crate) fn transpose(self) -> Self {
+    pub fn transpose(self) -> Self {
         match self {
             NormType::One => NormType::Infinity,
             NormType::Infinity => NormType::One,

lax/src/opnorm.rs

@@ -1,11 +1,10 @@
 //! Operator norms of matrices
 
+use super::NormType;
 use crate::layout::MatrixLayout;
 use cauchy::*;
 use num_traits::Zero;
 
-pub use super::NormType;
-
 pub trait OperatorNorm_: Scalar {
     fn opnorm(t: NormType, l: MatrixLayout, a: &[Self]) -> Self::Real;
 }

ndarray-linalg/src/least_squares.rs

@@ -63,7 +63,7 @@
 use ndarray::*;
 
 use crate::error::*;
-use crate::lapack::least_squares::*;
+use crate::lapack::*;
 use crate::layout::*;
 use crate::types::*;
 
@@ -253,7 +253,7 @@ where
 /// valid representation for `ArrayBase`.
 impl<E, D> LeastSquaresSvdInPlace<D, E, Ix1> for ArrayBase<D, Ix2>
 where
-    E: Scalar + Lapack + LeastSquaresSvdDivideConquer_,
+    E: Scalar + Lapack,
     D: DataMut<Elem = E>,
 {
     /// Solve a least squares problem of the form `Ax = rhs`

ndarray-linalg/src/opnorm.rs

@@ -4,8 +4,8 @@ use ndarray::*;
 
 use crate::convert::*;
 use crate::error::*;
+use crate::lapack::Tridiagonal;
 use crate::layout::*;
-use crate::tridiagonal::Tridiagonal;
 use crate::types::*;
 
 pub use crate::lapack::NormType;

ndarray-linalg/src/svddc.rs

@@ -3,7 +3,7 @@
 use super::{convert::*, error::*, layout::*, types::*};
 use ndarray::*;
 
-pub use lapack::svddc::UVTFlag;
+pub use lapack::UVTFlag;
 
 /// Singular-value decomposition of matrix (copying) by divide-and-conquer
 pub trait SVDDC {

ndarray-linalg/src/tridiagonal.rs

@@ -10,7 +10,7 @@ use cauchy::Scalar;
 use ndarray::*;
 use num_traits::One;
 
-pub use lapack::tridiagonal::{LUFactorizedTridiagonal, Tridiagonal};
+pub use lapack::{LUFactorizedTridiagonal, Tridiagonal};
 
 /// An interface for making a Tridiagonal struct.
 pub trait ExtractTridiagonal<A: Scalar> {