Rename generic parameter N -> T

Cargo.toml

@@ -36,7 +36,7 @@ no_unsound_assume_init = [ ]
 # Conversion
 convert-mint = [ "mint" ]
 convert-glam = [ "glam" ]
-convert-glam-unchecked = [ "convert-glam" ] # Unable edgy conversions like Mat4 -> Isometry3
+convert-glam-unchecked = [ "convert-glam" ] # Enable edgy conversions like Mat4 -> Isometry3
 convert-bytemuck = [ "bytemuck" ]
 
 # Serialization

benches/core/matrix.rs

@@ -1,4 +1,4 @@
-use na::{DMatrix, DVector, Matrix2, Matrix3, Matrix4, MatrixN, Vector2, Vector3, Vector4, U10};
+use na::{DMatrix, DVector, Matrix2, Matrix3, Matrix4, OMatrix, Vector2, Vector3, Vector4, U10};
 use rand::Rng;
 use rand_isaac::IsaacRng;
 use std::ops::{Add, Div, Mul, Sub};
@@ -116,8 +116,8 @@ fn mat10_mul_mat10(bench: &mut criterion::Criterion) {
 }
 
 fn mat10_mul_mat10_static(bench: &mut criterion::Criterion) {
-    let a = MatrixN::<f64, U10>::new_random();
-    let b = MatrixN::<f64, U10>::new_random();
+    let a = OMatrix::<f64, U10>::new_random();
+    let b = OMatrix::<f64, U10>::new_random();
 
     bench.bench_function("mat10_mul_mat10_static", move |bh| bh.iter(|| &a * &b));
 }

benches/core/vector.rs

@@ -1,4 +1,4 @@
-use na::{DVector, Vector2, Vector3, Vector4, VectorN};
+use na::{DVector, OVector, Vector2, Vector3, Vector4};
 use rand::Rng;
 use rand_isaac::IsaacRng;
 use std::ops::{Add, Div, Mul, Sub};
@@ -45,8 +45,8 @@ bench_unop!(vec2_normalize, Vector2<f32>, normalize);
 bench_unop!(vec3_normalize, Vector3<f32>, normalize);
 bench_unop!(vec4_normalize, Vector4<f32>, normalize);
 
-bench_binop_ref!(vec10000_dot_f64, VectorN<f64, U10000>, VectorN<f64, U10000>, dot);
-bench_binop_ref!(vec10000_dot_f32, VectorN<f32, U10000>, VectorN<f32, U10000>, dot);
+bench_binop_ref!(vec10000_dot_f64, OVector<f64, U10000>, OVector<f64, U10000>, dot);
+bench_binop_ref!(vec10000_dot_f32, OVector<f32, U10000>, OVector<f32, U10000>, dot);
 
 fn vec10000_axpy_f64(bh: &mut criterion::Criterion) {
     use rand::SeedableRng;
@@ -93,11 +93,11 @@ fn vec10000_axpy_f64_slice(bh: &mut criterion::Criterion) {
 fn vec10000_axpy_f64_static(bh: &mut criterion::Criterion) {
     use rand::SeedableRng;
     let mut rng = IsaacRng::seed_from_u64(0);
-    let mut a = VectorN::<f64, U10000>::new_random();
-    let b = VectorN::<f64, U10000>::new_random();
+    let mut a = OVector::<f64, U10000>::new_random();
+    let b = OVector::<f64, U10000>::new_random();
     let n = rng.gen::<f64>();
 
-    // NOTE: for some reasons, it is much faster if the arument are boxed (Box::new(VectorN...)).
+    // NOTE: for some reasons, it is much faster if the arument are boxed (Box::new(OVector...)).
     bh.bench_function("vec10000_axpy_f64_static", move |bh| {
         bh.iter(|| a.axpy(n, &b, 1.0))
     });

examples/dimensional_genericity.rs

@@ -2,36 +2,36 @@ extern crate nalgebra as na;
 
 use na::allocator::Allocator;
 use na::dimension::Dim;
-use na::{DefaultAllocator, RealField, Unit, Vector2, Vector3, VectorN};
+use na::{DefaultAllocator, OVector, RealField, Unit, Vector2, Vector3};
 
 /// Reflects a vector wrt. the hyperplane with normal `plane_normal`.
-fn reflect_wrt_hyperplane_with_dimensional_genericity<N: RealField, D: Dim>(
-    plane_normal: &Unit<VectorN<N, D>>,
-    vector: &VectorN<N, D>,
-) -> VectorN<N, D>
+fn reflect_wrt_hyperplane_with_dimensional_genericity<T: RealField, D: Dim>(
+    plane_normal: &Unit<OVector<T, D>>,
+    vector: &OVector<T, D>,
+) -> OVector<T, D>
 where
-    N: RealField,
+    T: RealField,
     D: Dim,
-    DefaultAllocator: Allocator<N, D>,
+    DefaultAllocator: Allocator<T, D>,
 {
     let n = plane_normal.as_ref(); // Get the underlying V.
     vector - n * (n.dot(vector) * na::convert(2.0))
 }
 
 /// Reflects a 2D vector wrt. the 2D line with normal `plane_normal`.
-fn reflect_wrt_hyperplane2<N>(plane_normal: &Unit<Vector2<N>>, vector: &Vector2<N>) -> Vector2<N>
+fn reflect_wrt_hyperplane2<T>(plane_normal: &Unit<Vector2<T>>, vector: &Vector2<T>) -> Vector2<T>
 where
-    N: RealField,
+    T: RealField,
 {
     let n = plane_normal.as_ref(); // Get the underlying Vector2
     vector - n * (n.dot(vector) * na::convert(2.0))
 }
 
 /// Reflects a 3D vector wrt. the 3D plane with normal `plane_normal`.
 /// /!\ This is an exact replicate of `reflect_wrt_hyperplane2, but for 3D.
-fn reflect_wrt_hyperplane3<N>(plane_normal: &Unit<Vector3<N>>, vector: &Vector3<N>) -> Vector3<N>
+fn reflect_wrt_hyperplane3<T>(plane_normal: &Unit<Vector3<T>>, vector: &Vector3<T>) -> Vector3<T>
 where
-    N: RealField,
+    T: RealField,
 {
     let n = plane_normal.as_ref(); // Get the underlying Vector3
     vector - n * (n.dot(vector) * na::convert(2.0))

examples/matrixcompare.rs

@@ -2,20 +2,20 @@ extern crate nalgebra as na;
 
 use matrixcompare::comparators::{AbsoluteElementwiseComparator, ExactElementwiseComparator};
 use matrixcompare::compare_matrices;
-use na::{MatrixMN, U3, U4};
+use na::{OMatrix, U3, U4};
 
 fn compare_integers_fail() {
     println!("Comparing two integer matrices.");
 
     #[rustfmt::skip]
-    let a = MatrixMN::<_, U3, U4>::from_row_slice(&[
+    let a = OMatrix::<_, U3, U4>::from_row_slice(&[
         0, 1,  2,  3,
         4, 5,  6,  7,
         8, 9, -2, 11
     ]);
 
     #[rustfmt::skip]
-    let b = MatrixMN::<_, U3, U4>::from_row_slice(&[
+    let b = OMatrix::<_, U3, U4>::from_row_slice(&[
         0, 1,  2,  3,
         4, 5,  6,  7,
         8, 9, 10, 11
@@ -29,14 +29,14 @@ fn compare_integers_fail() {
 fn compare_different_size() {
     println!("Comparing matrices of different size.");
     #[rustfmt::skip]
-    let a = MatrixMN::<_, U3, U3>::from_row_slice(&[
+    let a = OMatrix::<_, U3, U3>::from_row_slice(&[
         0, 1,  2,
         4, 5,  6,
         8, 9, 10,
     ]);
 
     #[rustfmt::skip]
-    let b = MatrixMN::<_, U3, U4>::from_row_slice(&[
+    let b = OMatrix::<_, U3, U4>::from_row_slice(&[
         0, 1,  2,  3,
         4, 5,  6,  7,
         8, 9, 10, 11
@@ -51,14 +51,14 @@ fn compare_f64_abs_tol_fail() {
     println!("Comparing two f64 matrices.");
 
     #[rustfmt::skip]
-    let a = MatrixMN::<f64, U3, U3>::from_row_slice(&[
+    let a = OMatrix::<f64, U3, U3>::from_row_slice(&[
         0.0, 1.0,  2.0 + 1e-10,
         4.0, 5.0,  6.0,
         8.0, 9.0, 10.0,
     ]);
 
     #[rustfmt::skip]
-    let b = MatrixMN::<_, U3, U3>::from_row_slice(&[
+    let b = OMatrix::<_, U3, U3>::from_row_slice(&[
         0.0, 1.0,  2.0,
         4.0, 5.0,  6.0,
         8.0, 9.0, 10.0

examples/scalar_genericity.rs

@@ -3,15 +3,15 @@ extern crate nalgebra as na;
 use na::{Scalar, Vector3};
 use simba::scalar::RealField;
 
-fn print_vector<N: Scalar>(m: &Vector3<N>) {
+fn print_vector<T: Scalar>(m: &Vector3<T>) {
     println!("{:?}", m)
 }
 
-fn print_norm<N: RealField>(v: &Vector3<N>) {
+fn print_norm<T: RealField>(v: &Vector3<T>) {
     // NOTE: alternatively, nalgebra already defines `v.norm()`.
     let norm = v.dot(v).sqrt();
 
-    // The RealField bound implies that N is Display so we can
+    // The RealField bound implies that T is Display so we can
     // use "{}" instead of "{:?}" for the format string.
     println!("{}", norm)
 }

nalgebra-glm/src/aliases.rs

@@ -1,9 +1,9 @@
 use na::{
     Matrix2, Matrix2x3, Matrix2x4, Matrix3, Matrix3x2, Matrix3x4, Matrix4, Matrix4x2, Matrix4x3,
-    MatrixMN, Quaternion, VectorN, U1, U2, U3, U4,
+    Quaternion, SMatrix, SVector,
 };
 
-/// A matrix with components of type `N`. It has `R` rows, and `C` columns.
+/// A matrix with components of type `T`. It has `R` rows, and `C` columns.
 ///
 /// In this library, vectors, represented as [`TVec`](type.TVec.html) and
 /// friends, are also matrices. Operations that operate on a matrix will
@@ -24,8 +24,8 @@ use na::{
 /// * [`TMat4x3`](type.TMat4x3.html)
 /// * [`TMat4x4`](type.TMat4x4.html)
 /// * [`TVec`](type.TVec.html)
-pub type TMat<N, R, C> = MatrixMN<N, R, C>;
-/// A column vector with components of type `N`. It has `D` rows (and one column).
+pub type TMat<T, const R: usize, const C: usize> = SMatrix<T, R, C>;
+/// A column vector with components of type `T`. It has `D` rows (and one column).
 ///
 /// In this library, vectors are represented as a single column matrix, so
 /// operations on [`TMat`](type.TMat.html) are also valid on vectors.
@@ -37,11 +37,11 @@ pub type TMat<N, R, C> = MatrixMN<N, R, C>;
 /// * [`TVec2`](type.TVec2.html)
 /// * [`TVec3`](type.TVec3.html)
 /// * [`TVec4`](type.TVec4.html)
-pub type TVec<N, R> = VectorN<N, R>;
-/// A quaternion with components of type `N`.
-pub type Qua<N> = Quaternion<N>;
+pub type TVec<T, const R: usize> = SVector<T, R>;
+/// A quaternion with components of type `T`.
+pub type Qua<T> = Quaternion<T>;
 
-/// A 1D vector with components of type `N`.
+/// A 1D vector with components of type `T`.
 ///
 /// # See also:
 ///
@@ -69,8 +69,8 @@ pub type Qua<N> = Quaternion<N>;
 /// * [`U64Vec1`](type.U64Vec1.html)
 /// * [`U8Vec1`](type.U8Vec1.html)
 /// * [`Vec1`](type.Vec1.html)
-pub type TVec1<N> = TVec<N, U1>;
-/// A 2D vector with components of type `N`.
+pub type TVec1<T> = TVec<T, 1>;
+/// A 2D vector with components of type `T`.
 ///
 /// # See also:
 ///
@@ -99,8 +99,8 @@ pub type TVec1<N> = TVec<N, U1>;
 /// * [`U64Vec2`](type.U64Vec2.html)
 /// * [`U8Vec2`](type.U8Vec2.html)
 /// * [`Vec2`](type.Vec2.html)
-pub type TVec2<N> = TVec<N, U2>;
-/// A 3D vector with components of type `N`.
+pub type TVec2<T> = TVec<T, 2>;
+/// A 3D vector with components of type `T`.
 ///
 /// # See also:
 ///
@@ -129,8 +129,8 @@ pub type TVec2<N> = TVec<N, U2>;
 /// * [`U64Vec3`](type.U64Vec3.html)
 /// * [`U8Vec3`](type.U8Vec3.html)
 /// * [`Vec3`](type.Vec3.html)
-pub type TVec3<N> = TVec<N, U3>;
-/// A 4D vector with components of type `N`.
+pub type TVec3<T> = TVec<T, 3>;
+/// A 4D vector with components of type `T`.
 ///
 /// # See also:
 ///
@@ -158,7 +158,7 @@ pub type TVec3<N> = TVec<N, U3>;
 /// * [`U64Vec4`](type.U64Vec4.html)
 /// * [`U8Vec4`](type.U8Vec4.html)
 /// * [`Vec4`](type.Vec4.html)
-pub type TVec4<N> = TVec<N, U4>;
+pub type TVec4<T> = TVec<T, 4>;
 /// A 1D vector with boolean components.
 pub type BVec1 = TVec1<bool>;
 /// A 2D vector with boolean components.
@@ -268,31 +268,31 @@ pub type I8Vec3 = TVec3<i8>;
 /// A 4D vector with `i8` components.
 pub type I8Vec4 = TVec4<i8>;
 
-/// A 2x2 matrix with components of type `N`.
-pub type TMat2<N> = Matrix2<N>;
-/// A 2x2 matrix with components of type `N`.
-pub type TMat2x2<N> = Matrix2<N>;
-/// A 2x3 matrix with components of type `N`.
-pub type TMat2x3<N> = Matrix2x3<N>;
-/// A 2x4 matrix with components of type `N`.
-pub type TMat2x4<N> = Matrix2x4<N>;
-/// A 3x3 matrix with components of type `N`.
-pub type TMat3<N> = Matrix3<N>;
-/// A 3x2 matrix with components of type `N`.
-pub type TMat3x2<N> = Matrix3x2<N>;
-/// A 3x3 matrix with components of type `N`.
-pub type TMat3x3<N> = Matrix3<N>;
-/// A 3x4 matrix with components of type `N`.
-pub type TMat3x4<N> = Matrix3x4<N>;
-/// A 4x4 matrix with components of type `N`.
-pub type TMat4<N> = Matrix4<N>;
-/// A 4x2 matrix with components of type `N`.
-pub type TMat4x2<N> = Matrix4x2<N>;
-/// A 4x3 matrix with components of type `N`.
-pub type TMat4x3<N> = Matrix4x3<N>;
-/// A 4x4 matrix with components of type `N`.
-pub type TMat4x4<N> = Matrix4<N>;
-/// A 2x2 matrix with components of type `N`.
+/// A 2x2 matrix with components of type `T`.
+pub type TMat2<T> = Matrix2<T>;
+/// A 2x2 matrix with components of type `T`.
+pub type TMat2x2<T> = Matrix2<T>;
+/// A 2x3 matrix with components of type `T`.
+pub type TMat2x3<T> = Matrix2x3<T>;
+/// A 2x4 matrix with components of type `T`.
+pub type TMat2x4<T> = Matrix2x4<T>;
+/// A 3x3 matrix with components of type `T`.
+pub type TMat3<T> = Matrix3<T>;
+/// A 3x2 matrix with components of type `T`.
+pub type TMat3x2<T> = Matrix3x2<T>;
+/// A 3x3 matrix with components of type `T`.
+pub type TMat3x3<T> = Matrix3<T>;
+/// A 3x4 matrix with components of type `T`.
+pub type TMat3x4<T> = Matrix3x4<T>;
+/// A 4x4 matrix with components of type `T`.
+pub type TMat4<T> = Matrix4<T>;
+/// A 4x2 matrix with components of type `T`.
+pub type TMat4x2<T> = Matrix4x2<T>;
+/// A 4x3 matrix with components of type `T`.
+pub type TMat4x3<T> = Matrix4x3<T>;
+/// A 4x4 matrix with components of type `T`.
+pub type TMat4x4<T> = Matrix4<T>;
+/// A 2x2 matrix with components of type `T`.
 pub type DMat2 = Matrix2<f64>;
 /// A 2x2 matrix with `f64` components.
 pub type DMat2x2 = Matrix2<f64>;