Merge branch 'master' into lapack

.github/workflows/ndarray-linalg.yml

@@ -0,0 +1,58 @@
+name: ndarray-linalg
+
+on:
+  push:
+    branches:
+      - master
+  pull_request: {}
+
+jobs:
+  windows:
+    runs-on: windows-2019
+    steps:
+    - uses: actions/checkout@v1
+    - uses: actions-rs/cargo@v1
+      with:
+        command: test
+        args: --manifest-path=ndarray-linalg/Cargo.toml --features=intel-mkl --no-default-features
+
+  macos:
+    runs-on: macos-10.15
+    env:
+      CC: gcc-9
+      FC: gfortran-9
+      LIBRARY_PATH: /usr/local/opt/gcc/lib/gcc/9
+    strategy:
+      fail-fast: false
+      matrix:
+        feature:
+          - netlib
+          - openblas
+          - intel-mkl
+    steps:
+    - uses: actions/checkout@v1
+    - uses: actions-rs/cargo@v1
+      with:
+        command: test
+        args: --manifest-path=ndarray-linalg/Cargo.toml --features=${{ matrix.feature }} --no-default-features
+
+  linux:
+    runs-on: ubuntu-18.04
+    strategy:
+      fail-fast: false
+      matrix:
+        feature:
+          - netlib
+          - openblas
+          - intel-mkl
+    steps:
+    - uses: actions/checkout@v1
+    - name: apt-install gfortran
+      run: |
+        sudo apt update
+        sudo apt install -y gfortran
+      if: ${{ matrix.feature != 'intel-mkl' }}
+    - uses: actions-rs/cargo@v1
+      with:
+        command: test
+        args: --manifest-path=ndarray-linalg/Cargo.toml --features=${{ matrix.feature }} --no-default-features

.github/workflows/rust.yml

@@ -7,56 +7,6 @@ on:
   pull_request: {}
 
 jobs:
-  windows:
-    runs-on: windows-2019
-    steps:
-    - uses: actions/checkout@v1
-    - uses: actions-rs/cargo@v1
-      with:
-        command: test
-        args: --features=intel-mkl --no-default-features
-
-  macos:
-    runs-on: macos-10.15
-    env:
-      CC: gcc-9
-      FC: gfortran-9
-      LIBRARY_PATH: /usr/local/opt/gcc/lib/gcc/9
-    strategy:
-      fail-fast: false
-      matrix:
-        feature:
-          - netlib
-          - openblas
-          - intel-mkl
-    steps:
-    - uses: actions/checkout@v1
-    - uses: actions-rs/cargo@v1
-      with:
-        command: test
-        args: --features=${{ matrix.feature }} --no-default-features
-
-  linux:
-    runs-on: ubuntu-18.04
-    strategy:
-      fail-fast: false
-      matrix:
-        feature:
-          - netlib
-          - openblas
-          - intel-mkl
-    steps:
-    - uses: actions/checkout@v1
-    - name: apt-install gfortran
-      run: |
-        sudo apt update
-        sudo apt install -y gfortran
-      if: ${{ matrix.feature != 'intel-mkl' }}
-    - uses: actions-rs/cargo@v1
-      with:
-        command: test
-        args: --features=${{ matrix.feature }} --no-default-features
-
   check-format:
     runs-on: ubuntu-18.04
     steps:

.gitignore

@@ -1,6 +1,6 @@
 # Generated by Cargo
 # will have compiled files and executables
-/target/
+target/
 *.rustfmt
 rusty-tags.*
 

CHANGELOG.md

@@ -3,6 +3,7 @@ Unreleased
 
 Changed
 --------
+- Use thiserror crate https://github.com/rust-ndarray/ndarray-linalg/pull/208
 - Fix for clippy, and add CI check https://github.com/rust-ndarray/ndarray-linalg/pull/205
 
 0.12.1 - 28 June 2020

Cargo.toml

@@ -1,67 +1,5 @@
-[package]
-name    = "ndarray-linalg"
-version = "0.13.0-alpha.0"
-authors = ["Toshiki Teramura <[email protected]>"]
-edition = "2018"
-
-description   = "Linear algebra package for rust-ndarray using LAPACK"
-documentation = "https://docs.rs/ndarray-linalg/"
-repository    = "https://github.com/rust-ndarray/ndarray-linalg"
-keywords      = ["ndarray", "lapack", "matrix"]
-license       = "MIT"
-readme        = "README.md"
-categories    = ["algorithms", "science"]
-
-[features]
-default    = []
-intel-mkl  = ["lapack-src/intel-mkl", "blas-src/intel-mkl"]
-netlib     = ["lapack-src/netlib", "blas-src/netlib"]
-openblas   = ["lapack-src/openblas", "blas-src/openblas"]
-serde-1    = ["ndarray/serde-1", "num-complex/serde"]
-
-static          = ["openblas-static"]
-openblas-static = ["openblas", "openblas-src"]
-
-[dependencies]
-lapacke = "0.2.0"
-num-traits  = "0.2.11"
-cauchy = "0.2.2"
-num-complex = "0.2.4"
-rand = "0.5"
-lapack = "0.16.0"
-blas = "0.20.0"
-
-[dependencies.ndarray]
-version = "0.13.0"
-features = ["blas", "approx"]
-default-features = false
-
-[dependencies.blas-src]
-version = "0.6.1"
-default-features = false
-
-[dependencies.lapack-src]
-version = "0.6.0"
-default-features = false
-
-[dependencies.openblas-src]
-version = "0.9.0"
-default-features = false
-features = ["static"]
-optional = true
-
-[dev-dependencies]
-paste = "0.1.9"
-criterion = "0.3.1"
-approx = { version = "0.3.2", features = ["num-complex"] }
-
-[[bench]]
-name = "truncated_eig"
-harness = false
-
-[[bench]]
-name = "eigh"
-harness = false
-
-[package.metadata.docs.rs]
-rustdoc-args = ["--html-in-header", "katex-header.html"]
+[workspace]
+members = [
+  "ndarray-linalg",
+  "lax",
+]

lax/Cargo.toml

@@ -0,0 +1,33 @@
+[package]
+name = "lax"
+version = "0.1.0"
+authors = ["Toshiki Teramura <[email protected]>"]
+edition = "2018"
+
+[features]
+default    = []
+intel-mkl  = ["lapack-src/intel-mkl", "blas-src/intel-mkl"]
+netlib     = ["lapack-src/netlib", "blas-src/netlib"]
+openblas   = ["lapack-src/openblas", "blas-src/openblas"]
+
+[dependencies]
+thiserror = "1"
+cauchy = "0.2"
+lapacke = "0.2.0"
+num-traits = "0.2"
+lapack = "0.16.0"
+blas = "0.20.0"
+
+[dependencies.blas-src]
+version = "0.6.1"
+default-features = false
+
+[dependencies.lapack-src]
+version = "0.6.0"
+default-features = false
+
+[dependencies.openblas-src]
+version = "0.9.0"
+default-features = false
+features = ["static"]
+optional = true

src/lapack/cholesky.rs → lax/src/cholesky.rs

@@ -1,10 +1,8 @@
 //! Cholesky decomposition
 
-use crate::error::*;
-use crate::layout::MatrixLayout;
-use crate::types::*;
-
-use super::{into_result, UPLO};
+use super::*;
+use crate::{error::*, layout::MatrixLayout};
+use cauchy::*;
 
 pub trait Cholesky_: Sized {
     /// Cholesky: wrapper of `*potrf`
@@ -25,14 +23,14 @@ macro_rules! impl_cholesky {
         impl Cholesky_ for $scalar {
             unsafe fn cholesky(l: MatrixLayout, uplo: UPLO, a: &mut [Self]) -> Result<()> {
                 let (n, _) = l.size();
-                let info = $trf(l.lapacke_layout(), uplo as u8, n, a, n);
-                into_result(info, ())
+                $trf(l.lapacke_layout(), uplo as u8, n, a, n).as_lapack_result()?;
+                Ok(())
             }
 
             unsafe fn inv_cholesky(l: MatrixLayout, uplo: UPLO, a: &mut [Self]) -> Result<()> {
                 let (n, _) = l.size();
-                let info = $tri(l.lapacke_layout(), uplo as u8, n, a, l.lda());
-                into_result(info, ())
+                $tri(l.lapacke_layout(), uplo as u8, n, a, l.lda()).as_lapack_result()?;
+                Ok(())
             }
 
             unsafe fn solve_cholesky(
@@ -44,8 +42,9 @@ macro_rules! impl_cholesky {
                 let (n, _) = l.size();
                 let nrhs = 1;
                 let ldb = 1;
-                let info = $trs(l.lapacke_layout(), uplo as u8, n, nrhs, a, l.lda(), b, ldb);
-                into_result(info, ())
+                $trs(l.lapacke_layout(), uplo as u8, n, nrhs, a, l.lda(), b, ldb)
+                    .as_lapack_result()?;
+                Ok(())
             }
         }
     };

src/lapack/eig.rs → lax/src/eig.rs

@@ -1,13 +1,9 @@
 //! Eigenvalue decomposition for general matrices
 
+use crate::{error::*, layout::MatrixLayout};
+use cauchy::*;
 use num_traits::Zero;
 
-use crate::error::*;
-use crate::layout::MatrixLayout;
-use crate::types::*;
-
-use super::into_result;
-
 /// Wraps `*geev` for real/complex
 pub trait Eig_: Scalar {
     unsafe fn eig(
@@ -30,7 +26,7 @@ macro_rules! impl_eig_complex {
                 let mut w = vec![Self::Complex::zero(); n as usize];
                 let mut vl = Vec::new();
                 let mut vr = vec![Self::Complex::zero(); (n * n) as usize];
-                let info = $ev(
+                $ev(
                     l.lapacke_layout(),
                     b'N',
                     jobvr,
@@ -42,8 +38,9 @@ macro_rules! impl_eig_complex {
                     n,
                     &mut vr,
                     n,
-                );
-                into_result(info, (w, vr))
+                )
+                .as_lapack_result()?;
+                Ok((w, vr))
             }
         }
     };
@@ -82,6 +79,7 @@ macro_rules! impl_eig_real {
                     .zip(wi.iter())
                     .map(|(&r, &i)| Self::Complex::new(r, i))
                     .collect();
+
                 // If the j-th eigenvalue is real, then
                 // eigenvector = [ vr[j], vr[j+n], vr[j+2*n], ... ].
                 //
@@ -121,7 +119,8 @@ macro_rules! impl_eig_real {
                     })
                     .collect();
 
-                into_result(info, (w, v))
+                info.as_lapack_result()?;
+                Ok((w, v))
             }
         }
     };

src/lapack/eigh.rs → lax/src/eigh.rs

@@ -1,7 +1,8 @@
 //! Eigenvalue decomposition for Symmetric/Hermite matrices
 
 use super::*;
-use crate::{error::*, layout::MatrixLayout, types::*};
+use crate::{error::*, layout::MatrixLayout};
+use cauchy::*;
 use num_traits::Zero;
 
 pub trait Eigh_: Scalar {
@@ -52,7 +53,7 @@ macro_rules! impl_eigh {
                         &mut info,
                     );
                 }
-                info.as_lapack_error()?;
+                info.as_lapack_result()?;
                 Ok(eigs)
             }
 
@@ -86,7 +87,7 @@ macro_rules! impl_eigh {
                         &mut info,
                     );
                 }
-                info.as_lapack_error()?;
+                info.as_lapack_result()?;
                 Ok(eigs)
             }
         }
@@ -129,7 +130,7 @@ macro_rules! impl_eighc {
                         &mut info,
                     )
                 };
-                info.as_lapack_error()?;
+                info.as_lapack_result()?;
                 Ok(eigs)
             }
 
@@ -166,7 +167,7 @@ macro_rules! impl_eighc {
                         &mut info,
                     )
                 };
-                info.as_lapack_error()?;
+                info.as_lapack_result()?;
                 Ok(eigs)
             }
         }