chore: update to simba 0.9

dimforge · Jun 22, 2024 · 22d154d · 22d154d
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diff --git a/Cargo.toml b/Cargo.toml
@@ -1,15 +1,15 @@
 [package]
-name    = "nalgebra"
+name = "nalgebra"
 version = "0.32.3"
-authors = [ "Sébastien Crozet <[email protected]>" ]
+authors = ["Sébastien Crozet <[email protected]>"]
 
 description = "General-purpose linear algebra library with transformations and statically-sized or dynamically-sized matrices."
 documentation = "https://www.nalgebra.org/docs"
 homepage = "https://nalgebra.org"
 repository = "https://github.com/dimforge/nalgebra"
 readme = "README.md"
-categories = [ "science", "mathematics", "wasm", "no-std" ]
-keywords = [ "linear", "algebra", "matrix", "vector", "math" ]
+categories = ["science", "mathematics", "wasm", "no-std"]
+keywords = ["linear", "algebra", "matrix", "vector", "math"]
 license = "Apache-2.0"
 edition = "2018"
 exclude = ["/ci/*", "/.travis.yml", "/Makefile"]
@@ -22,106 +22,106 @@ name = "nalgebra"
 path = "src/lib.rs"
 
 [features]
-default = [ "std", "macros" ]
-std     = [ "matrixmultiply", "num-traits/std", "num-complex/std", "num-rational/std", "approx/std", "simba/std" ]
-sparse  = [ ]
-debug   = [ "approx/num-complex", "rand" ]
-alloc   = [ ]
-io      = [ "pest", "pest_derive" ]
-compare = [ "matrixcompare-core" ]
-libm    = [ "simba/libm" ]
-libm-force = [ "simba/libm_force" ]
-macros = [ "nalgebra-macros" ]
+default = ["std", "macros"]
+std = ["matrixmultiply", "num-traits/std", "num-complex/std", "num-rational/std", "approx/std", "simba/std"]
+sparse = []
+debug = ["approx/num-complex", "rand"]
+alloc = []
+io = ["pest", "pest_derive"]
+compare = ["matrixcompare-core"]
+libm = ["simba/libm"]
+libm-force = ["simba/libm_force"]
+macros = ["nalgebra-macros"]
 
 
 # Conversion
-convert-mint = [ "mint" ]
-convert-bytemuck = [ "bytemuck" ]
-convert-glam014 = [ "glam014" ]
-convert-glam015 = [ "glam015" ]
-convert-glam016 = [ "glam016" ]
-convert-glam017 = [ "glam017" ]
-convert-glam018 = [ "glam018" ]
-convert-glam019 = [ "glam019" ]
-convert-glam020 = [ "glam020" ]
-convert-glam021 = [ "glam021" ]
-convert-glam022 = [ "glam022" ]
-convert-glam023 = [ "glam023" ]
-convert-glam024 = [ "glam024" ]
-convert-glam025 = [ "glam025" ]
-convert-glam027 = [ "glam027" ]
+convert-mint = ["mint"]
+convert-bytemuck = ["bytemuck"]
+convert-glam014 = ["glam014"]
+convert-glam015 = ["glam015"]
+convert-glam016 = ["glam016"]
+convert-glam017 = ["glam017"]
+convert-glam018 = ["glam018"]
+convert-glam019 = ["glam019"]
+convert-glam020 = ["glam020"]
+convert-glam021 = ["glam021"]
+convert-glam022 = ["glam022"]
+convert-glam023 = ["glam023"]
+convert-glam024 = ["glam024"]
+convert-glam025 = ["glam025"]
+convert-glam027 = ["glam027"]
 
 # Serialization
 ## To use serde in a #[no-std] environment, enable the
 ## `serde-serialize-no-std` feature instead of `serde-serialize`.
 ## Serialization of dynamically-sized matrices/vectors require
 ## `serde-serialize`.
-serde-serialize-no-std = [ "serde", "num-complex/serde" ]
-serde-serialize        = [ "serde-serialize-no-std", "serde/std" ]
-rkyv-serialize-no-std  = [ "rkyv/size_32" ]
-rkyv-serialize         = [ "rkyv-serialize-no-std", "rkyv/std", "rkyv/validation" ]
+serde-serialize-no-std = ["serde", "num-complex/serde"]
+serde-serialize = ["serde-serialize-no-std", "serde/std"]
+rkyv-serialize-no-std = ["rkyv/size_32"]
+rkyv-serialize = ["rkyv-serialize-no-std", "rkyv/std", "rkyv/validation"]
 
 # Randomness
 ## To use rand in a #[no-std] environment, enable the
 ## `rand-no-std` feature instead of `rand`.
-rand-no-std = [ "rand-package" ]
-rand        = [ "rand-no-std", "rand-package/std", "rand-package/std_rng", "rand_distr" ]
+rand-no-std = ["rand-package"]
+rand = ["rand-no-std", "rand-package/std", "rand-package/std_rng", "rand_distr"]
 
 # Tests
-arbitrary        = [ "quickcheck" ]
-proptest-support = [ "proptest" ]
-slow-tests       = []
-rkyv-safe-deser  = [ "rkyv-serialize", "rkyv/validation" ]
+arbitrary = ["quickcheck"]
+proptest-support = ["proptest"]
+slow-tests = []
+rkyv-safe-deser = ["rkyv-serialize", "rkyv/validation"]
 
 [dependencies]
 nalgebra-macros = { version = "0.2.1", path = "nalgebra-macros", optional = true }
-typenum        = "1.12"
-rand-package   = { package = "rand", version = "0.8", optional = true, default-features = false }
-num-traits     = { version = "0.2", default-features = false }
-num-complex    = { version = "0.4", default-features = false }
-num-rational   = { version = "0.4", default-features = false }
-approx         = { version = "0.5", default-features = false }
-simba          = { version = "0.8", default-features = false }
-alga           = { version = "0.9", default-features = false, optional = true }
-rand_distr     = { version = "0.4", default-features = false, optional = true }
+typenum = "1.12"
+rand-package = { package = "rand", version = "0.8", optional = true, default-features = false }
+num-traits = { version = "0.2", default-features = false }
+num-complex = { version = "0.4", default-features = false }
+num-rational = { version = "0.4", default-features = false }
+approx = { version = "0.5", default-features = false }
+simba = { version = "0.9", default-features = false }
+alga = { version = "0.9", default-features = false, optional = true }
+rand_distr = { version = "0.4", default-features = false, optional = true }
 matrixmultiply = { version = "0.3", optional = true }
-serde          = { version = "1.0", default-features = false, features = [ "derive" ], optional = true }
-rkyv           = { version = "0.7.41", default-features = false, optional = true }
-mint           = { version = "0.5", optional = true }
-quickcheck     = { version = "1", optional = true }
-pest           = { version = "2", optional = true }
-pest_derive    = { version = "2", optional = true }
-bytemuck       = { version = "1.5", optional = true }
+serde = { version = "1.0", default-features = false, features = ["derive"], optional = true }
+rkyv = { version = "0.7.41", default-features = false, optional = true }
+mint = { version = "0.5", optional = true }
+quickcheck = { version = "1", optional = true }
+pest = { version = "2", optional = true }
+pest_derive = { version = "2", optional = true }
+bytemuck = { version = "1.5", optional = true }
 matrixcompare-core = { version = "0.1", optional = true }
-proptest       = { version = "1", optional = true, default-features = false, features = ["std"] }
-glam014        = { package = "glam", version = "0.14", optional = true }
-glam015        = { package = "glam", version = "0.15", optional = true }
-glam016        = { package = "glam", version = "0.16", optional = true }
-glam017        = { package = "glam", version = "0.17", optional = true }
-glam018        = { package = "glam", version = "0.18", optional = true }
-glam019        = { package = "glam", version = "0.19", optional = true }
-glam020        = { package = "glam", version = "0.20", optional = true }
-glam021        = { package = "glam", version = "0.21", optional = true }
-glam022        = { package = "glam", version = "0.22", optional = true }
-glam023        = { package = "glam", version = "0.23", optional = true }
-glam024        = { package = "glam", version = "0.24", optional = true }
-glam025        = { package = "glam", version = "0.25", optional = true }
-glam027        = { package = "glam", version = "0.27", optional = true }
-rayon          = { version = "1.6", optional = true }
+proptest = { version = "1", optional = true, default-features = false, features = ["std"] }
+glam014 = { package = "glam", version = "0.14", optional = true }
+glam015 = { package = "glam", version = "0.15", optional = true }
+glam016 = { package = "glam", version = "0.16", optional = true }
+glam017 = { package = "glam", version = "0.17", optional = true }
+glam018 = { package = "glam", version = "0.18", optional = true }
+glam019 = { package = "glam", version = "0.19", optional = true }
+glam020 = { package = "glam", version = "0.20", optional = true }
+glam021 = { package = "glam", version = "0.21", optional = true }
+glam022 = { package = "glam", version = "0.22", optional = true }
+glam023 = { package = "glam", version = "0.23", optional = true }
+glam024 = { package = "glam", version = "0.24", optional = true }
+glam025 = { package = "glam", version = "0.25", optional = true }
+glam027 = { package = "glam", version = "0.27", optional = true }
+rayon = { version = "1.6", optional = true }
 
 [dev-dependencies]
 serde_json = "1.0"
 rand_xorshift = "0.3"
 rand_isaac = "0.3"
 criterion = { version = "0.4", features = ["html_reports"] }
-nalgebra = { path = ".", features = ["debug", "compare", "rand", "macros"]}
+nalgebra = { path = ".", features = ["debug", "compare", "rand", "macros"] }
 
 # For matrix comparison macro
 matrixcompare = "0.3.0"
 itertools = "0.10"
 
 [workspace]
-members = [ "nalgebra-lapack", "nalgebra-glm", "nalgebra-sparse", "nalgebra-macros" ]
+members = ["nalgebra-lapack", "nalgebra-glm", "nalgebra-sparse", "nalgebra-macros"]
 resolver = "2"
 
 [[example]]

diff --git a/nalgebra-glm/Cargo.toml b/nalgebra-glm/Cargo.toml
@@ -8,31 +8,31 @@ documentation = "https://www.nalgebra.org/docs"
 homepage = "https://nalgebra.org"
 repository = "https://github.com/dimforge/nalgebra"
 readme = "../README.md"
-categories = [ "science", "mathematics", "wasm", "no standard library" ]
-keywords = [ "linear", "algebra", "matrix", "vector", "math" ]
+categories = ["science", "mathematics", "wasm", "no standard library"]
+keywords = ["linear", "algebra", "matrix", "vector", "math"]
 license = "Apache-2.0"
 edition = "2018"
 
 [badges]
 maintenance = { status = "actively-developed" }
 
 [features]
-default               = [ "std" ]
-std                   = [ "nalgebra/std", "simba/std" ]
-arbitrary             = [ "nalgebra/arbitrary" ]
-serde-serialize       = [ "nalgebra/serde-serialize-no-std" ]
+default = ["std"]
+std = ["nalgebra/std", "simba/std"]
+arbitrary = ["nalgebra/arbitrary"]
+serde-serialize = ["nalgebra/serde-serialize-no-std"]
 
 # Conversion
-convert-mint = [ "nalgebra/mint" ]
-convert-bytemuck = [ "nalgebra/bytemuck" ]
-convert-glam014 = [ "nalgebra/glam014" ]
-convert-glam015 = [ "nalgebra/glam015" ]
-convert-glam016 = [ "nalgebra/glam016" ]
-convert-glam017 = [ "nalgebra/glam017" ]
-convert-glam018 = [ "nalgebra/glam018" ]
+convert-mint = ["nalgebra/mint"]
+convert-bytemuck = ["nalgebra/bytemuck"]
+convert-glam014 = ["nalgebra/glam014"]
+convert-glam015 = ["nalgebra/glam015"]
+convert-glam016 = ["nalgebra/glam016"]
+convert-glam017 = ["nalgebra/glam017"]
+convert-glam018 = ["nalgebra/glam018"]
 
 [dependencies]
 num-traits = { version = "0.2", default-features = false }
 approx = { version = "0.5", default-features = false }
-simba = { version = "0.8", default-features = false }
-nalgebra = { path =  "..", version = "0.32", default-features = false }
+simba = { version = "0.9", default-features = false }
+nalgebra = { path = "..", version = "0.32", default-features = false }
diff --git a/nalgebra-glm/src/traits.rs b/nalgebra-glm/src/traits.rs
@@ -2,16 +2,16 @@ use approx::AbsDiffEq;
 use num::{Bounded, Signed};
 
 use na::Scalar;
-use simba::scalar::{ClosedAdd, ClosedMul, ClosedSub, RealField};
+use simba::scalar::{ClosedAddAssign, ClosedMulAssign, ClosedSubAssign, RealField};
 
 /// A number that can either be an integer or a float.
 pub trait Number:
     Scalar
     + Copy
     + PartialOrd
-    + ClosedAdd
-    + ClosedSub
-    + ClosedMul
+    + ClosedAddAssign
+    + ClosedSubAssign
+    + ClosedMulAssign
     + AbsDiffEq<Epsilon = Self>
     + Signed
     + Bounded
@@ -22,9 +22,9 @@ impl<
         T: Scalar
             + Copy
             + PartialOrd
-            + ClosedAdd
-            + ClosedSub
-            + ClosedMul
+            + ClosedAddAssign
+            + ClosedSubAssign
+            + ClosedMulAssign
             + AbsDiffEq<Epsilon = Self>
             + Signed
             + Bounded,

diff --git a/nalgebra-lapack/Cargo.toml b/nalgebra-lapack/Cargo.toml
@@ -32,7 +32,7 @@ intel-mkl = ["lapack-src/intel-mkl"]
 nalgebra = { version = "0.32", path = ".." }
 num-traits = "0.2"
 num-complex = { version = "0.4", default-features = false }
-simba = "0.8"
+simba = "0.9"
 serde = { version = "1.0", features = ["derive"], optional = true }
 lapack = { version = "0.19", default-features = false }
 lapack-src = { version = "0.8", default-features = false }

diff --git a/nalgebra-sparse/src/convert/impl_std_ops.rs b/nalgebra-sparse/src/convert/impl_std_ops.rs
@@ -3,7 +3,7 @@ use crate::coo::CooMatrix;
 use crate::csc::CscMatrix;
 use crate::csr::CsrMatrix;
 use nalgebra::storage::RawStorage;
-use nalgebra::{ClosedAdd, DMatrix, Dim, Matrix, Scalar};
+use nalgebra::{ClosedAddAssign, DMatrix, Dim, Matrix, Scalar};
 use num_traits::Zero;
 
 impl<'a, T, R, C, S> From<&'a Matrix<T, R, C, S>> for CooMatrix<T>
@@ -20,7 +20,7 @@ where
 
 impl<'a, T> From<&'a CooMatrix<T>> for DMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     fn from(coo: &'a CooMatrix<T>) -> Self {
         convert_coo_dense(coo)
@@ -29,7 +29,7 @@ where
 
 impl<'a, T> From<&'a CooMatrix<T>> for CsrMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     fn from(matrix: &'a CooMatrix<T>) -> Self {
         convert_coo_csr(matrix)
@@ -38,7 +38,7 @@ where
 
 impl<'a, T> From<&'a CsrMatrix<T>> for CooMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     fn from(matrix: &'a CsrMatrix<T>) -> Self {
         convert_csr_coo(matrix)
@@ -59,7 +59,7 @@ where
 
 impl<'a, T> From<&'a CsrMatrix<T>> for DMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     fn from(matrix: &'a CsrMatrix<T>) -> Self {
         convert_csr_dense(matrix)
@@ -68,7 +68,7 @@ where
 
 impl<'a, T> From<&'a CooMatrix<T>> for CscMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     fn from(matrix: &'a CooMatrix<T>) -> Self {
         convert_coo_csc(matrix)
@@ -98,7 +98,7 @@ where
 
 impl<'a, T> From<&'a CscMatrix<T>> for DMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     fn from(matrix: &'a CscMatrix<T>) -> Self {
         convert_csc_dense(matrix)

diff --git a/nalgebra-sparse/src/convert/serial.rs b/nalgebra-sparse/src/convert/serial.rs
@@ -8,7 +8,7 @@ use std::ops::Add;
 use num_traits::Zero;
 
 use nalgebra::storage::RawStorage;
-use nalgebra::{ClosedAdd, DMatrix, Dim, Matrix, Scalar};
+use nalgebra::{ClosedAddAssign, DMatrix, Dim, Matrix, Scalar};
 
 use crate::coo::CooMatrix;
 use crate::cs;
@@ -41,7 +41,7 @@ where
 /// Converts a [`CooMatrix`] to a dense matrix.
 pub fn convert_coo_dense<T>(coo: &CooMatrix<T>) -> DMatrix<T>
 where
-    T: Scalar + Zero + ClosedAdd,
+    T: Scalar + Zero + ClosedAddAssign,
 {
     let mut output = DMatrix::repeat(coo.nrows(), coo.ncols(), T::zero());
     for (i, j, v) in coo.triplet_iter() {
@@ -80,7 +80,7 @@ pub fn convert_csr_coo<T: Scalar>(csr: &CsrMatrix<T>) -> CooMatrix<T> {
 /// Converts a [`CsrMatrix`] to a dense matrix.
 pub fn convert_csr_dense<T>(csr: &CsrMatrix<T>) -> DMatrix<T>
 where
-    T: Scalar + ClosedAdd + Zero,
+    T: Scalar + ClosedAddAssign + Zero,
 {
     let mut output = DMatrix::zeros(csr.nrows(), csr.ncols());
 
@@ -157,7 +157,7 @@ where
 /// Converts a [`CscMatrix`] to a dense matrix.
 pub fn convert_csc_dense<T>(csc: &CscMatrix<T>) -> DMatrix<T>
 where
-    T: Scalar + ClosedAdd + Zero,
+    T: Scalar + ClosedAddAssign + Zero,
 {
     let mut output = DMatrix::zeros(csc.nrows(), csc.ncols());