Switch to Rust 2021 Edition

.github/workflows/ci.yml

@@ -8,7 +8,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macOS-latest, windows-latest]
-        rust: [stable, 1.54]
+        rust: [stable, 1.56]
 
     steps:
     - name: Install Rust

CHANGELOG.md

@@ -10,7 +10,7 @@ Versioning](https://semver.org/spec/v2.0.0.html).
 ### Changed
 
 * Updated intel-mkl-src to 0.7.
-* Requires Rust 1.54 or later.
+* Requires Rust 1.56 or later.
 
 ## [0.6.2] - 2022-05-04
 
@@ -22,89 +22,89 @@ Versioning](https://semver.org/spec/v2.0.0.html).
 
 ### Changed
 
-- Requires ndarray 0.15.2 or later.
+* Requires ndarray 0.15.2 or later.
 
 ## [0.6.0] - 2021-05-10
 
 ### Changed
 
-- Requires ndarray 0.15.
-- `DecompisionError::InvalidInput` provides the underlying reason.
-- `DecomposionError::LinalgError` no longer exposes the `ndarray_linalg` error
+* Requires ndarray 0.15.
+* `DecompisionError::InvalidInput` provides the underlying reason.
+* `DecomposionError::LinalgError` no longer exposes the `ndarray_linalg` error
   type; instead, it provides the underlying reason as `String`.
-- Requires Rust 1.51 or later.
+* Requires Rust 1.51 or later.
 
 ## [0.5.1] - 2021-05-06
 
 ### Added
 
-- `PcaBuilder` and `RandomizedPcaBuilder` to create instances of `Pca` and
+* `PcaBuilder` and `RandomizedPcaBuilder` to create instances of `Pca` and
   `RandomizedPca`, respectively.
-- `FastIcaBuilder` to create instances of `FastIca`.
-- `Pca` and `RandomizedPca` are optionally set to skip mean-centering input,
+* `FastIcaBuilder` to create instances of `FastIca`.
+* `Pca` and `RandomizedPca` are optionally set to skip mean-centering input,
   using `PcaBuilder::centering` and `RandomizedPcaBuilder::centering`. By
   default they always mean-center input. (by @sstadick)
 
 ## [0.5.0] - 2021-05-02
 
 ### Changed
 
-- Updated ndarray to 0.14. (by @sstadick)
-- The backend features are compatible with those of ndarray-linalg-0.13.
-- Requires Rust 1.46 or later.
+* Updated ndarray to 0.14. (by @sstadick)
+* The backend features are compatible with those of ndarray-linalg-0.13.
+* Requires Rust 1.46 or later.
 
 ## [0.4.1] - 2020-07-17
 
 ### Added
 
-- `Pca::components()` and `RandomizedPca::components()`.
-- `Pca::mean()` and `RandomizedPca::mean()`.
-- `Pca::inverse_transform()` and `RandomizedPca::inverse_transform()`.
+* `Pca::components()` and `RandomizedPca::components()`.
+* `Pca::mean()` and `RandomizedPca::mean()`.
+* `Pca::inverse_transform()` and `RandomizedPca::inverse_transform()`.
 
 ## [0.4.0] - 2020-06-18
 
 ### Added
 
-- Serialization/deserialization using serde.
-- `FastIca::with_seed` and `RandomizedPca::with_seed` to easily create a model
+* Serialization/deserialization using serde.
+* `FastIca::with_seed` and `RandomizedPca::with_seed` to easily create a model
   with a reproducible behavior.
-- `FastIca::with_rng` and `RandomizedPca::with_rng` to replace `new` in earlier
+* `FastIca::with_rng` and `RandomizedPca::with_rng` to replace `new` in earlier
   versions.
 
 ### Changed
 
-- `FastIca::new` and `RandomizedPca::new` no longer requires a random number
+* `FastIca::new` and `RandomizedPca::new` no longer requires a random number
   generator; they uses a PCG random number genrator by default. Use `with_rng`
   instead for a different random number generator.
 
 ## [0.3.0] - 2020-06-05
 
 ### Added
 
-- `FastIca`, an independent component analysis (ICA) algorithm.
+* `FastIca`, an independent component analysis (ICA) algorithm.
 
 ## [0.2.0] - 2020-05-24
 
 ### Added
 
-- `RandomizedPca`, a randomized, truncated PCA.
+* `RandomizedPca`, a randomized, truncated PCA.
 
 ### Fixed
 
-- `Pca::explained_variance_ratio` returns the ratios for the principal
+* `Pca::explained_variance_ratio` returns the ratios for the principal
   components only.
 
 ## [0.1.1] - 2020-05-21
 
 ### Added
 
-- cargo features to select the LAPACK backend: intel-mkl, netlib, or openblas.
+* cargo features to select the LAPACK backend: intel-mkl, netlib, or openblas.
 
 ## [0.1.0] - 2020-05-20
 
 ### Added
 
-- Principal component analysis (PCA).
+* Principal component analysis (PCA).
 
 [Unreleased]: https://github.com/petabi/petal-decomposition/compare/0.6.2...main
 [0.6.2]: https://github.com/petabi/petal-decomposition/compare/0.6.1...0.6.2

Cargo.toml

@@ -12,7 +12,7 @@ license = "Apache-2.0"
 keywords = ["matrix", "decomposition", "pca", "ica", "dimensionality"]
 categories = ["mathematics", "science", "algorithms"]
 authors = ["Min Kim <[email protected]>"]
-edition = "2018"
+edition = "2021"
 exclude = ["./github"]
 
 [badges]
@@ -25,14 +25,17 @@ no-default-features = true
 default = []
 
 intel-mkl = ["intel-mkl-static"]
-netlib    = ["netlib-static"]
-openblas  = ["openblas-static"]
+netlib = ["netlib-static"]
+openblas = ["openblas-static"]
 
-intel-mkl-static = ["intel-mkl-src/mkl-static-lp64-seq", "intel-mkl-src/download"]
+intel-mkl-static = [
+    "intel-mkl-src/mkl-static-lp64-seq",
+    "intel-mkl-src/download",
+]
 intel-mkl-system = ["intel-mkl-src/mkl-dynamic-lp64-seq"]
 
-netlib-static   = ["netlib-src/static"]
-netlib-system   = ["netlib-src/system"]
+netlib-static = ["netlib-src/static"]
+netlib-system = ["netlib-src/system"]
 
 openblas-static = ["openblas-src/static"]
 openblas-system = ["openblas-src/system"]
@@ -42,7 +45,7 @@ serialization = [
     "lair/serialization",
     "ndarray/serde",
     "rand/serde1",
-    "rand_pcg/serde1"
+    "rand_pcg/serde1",
 ]
 
 [dependencies]
@@ -53,7 +56,7 @@ lair = "0.6"
 lapack = "0.19"
 ndarray = "0.15.2"
 num-complex = "0.4"
-num-traits = "0.2.15"  # 0.2.15 conflicts with lair-0.5
+num-traits = "0.2.15"                                             # 0.2.15 conflicts with lair-0.5
 rand = "0.8"
 rand_distr = "0.4"
 rand_pcg = "0.3"

README.md

@@ -9,7 +9,7 @@ petal-decomposition provides matrix decomposition algorithms including PCA
 
 ## Requirements
 
-* Rust ≥ 1.54
+* Rust ≥ 1.56
 * BLAS/LAPACK backend (OpenBLAS, Netlib, or Intel MKL)
 
 ## Features