feat: upgrade rand to 0.9.0 in base

Author: KAAtheWiseGit

Cargo.toml

@@ -66,7 +66,7 @@ rkyv-serialize = ["rkyv-serialize-no-std", "rkyv/std", "rkyv/validation"]
 ## 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 = ["rand-no-std", "rand-package/std", "rand-package/std_rng", "rand-package/thread_rng", "rand_distr"]
 
 # Tests
 arbitrary = ["quickcheck"]
@@ -77,14 +77,14 @@ rkyv-safe-deser = ["rkyv-serialize", "rkyv/validation"]
 [dependencies]
 nalgebra-macros = { version = "0.2.2", path = "nalgebra-macros", optional = true }
 typenum = "1.12"
-rand-package = { package = "rand", version = "0.8", optional = true, default-features = false }
+rand-package = { package = "rand", version = "0.9", 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 }
+rand_distr = { version = "0.5", 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 }
@@ -114,7 +114,7 @@ rayon = { version = "1.6", optional = true }
 
 [dev-dependencies]
 serde_json = "1.0"
-rand_xorshift = "0.3"
+rand_xorshift = "0.4"
 rand_isaac = "0.3"
 criterion = { version = "0.4", features = ["html_reports"] }
 nalgebra = { path = ".", features = ["debug", "compare", "rand", "macros"] }

src/base/construction.rs

@@ -9,7 +9,7 @@ use quickcheck::{Arbitrary, Gen};
 use num::{Bounded, One, Zero};
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 
@@ -293,10 +293,10 @@ where
     #[cfg(feature = "rand")]
     pub fn new_random_generic(nrows: R, ncols: C) -> Self
     where
-        Standard: Distribution<T>,
+        StandardUniform: Distribution<T>,
     {
-        let mut rng = rand::thread_rng();
-        Self::from_fn_generic(nrows, ncols, |_, _| rng.gen())
+        let mut rng = rand::rng();
+        Self::from_fn_generic(nrows, ncols, |_, _| rng.random())
     }
 
     /// Creates a matrix filled with random values from the given distribution.
@@ -637,7 +637,7 @@ macro_rules! impl_constructors(
         #[inline]
         #[cfg(feature = "rand")]
         pub fn new_random($($args: usize),*) -> Self
-            where Standard: Distribution<T> {
+            where StandardUniform: Distribution<T> {
             Self::new_random_generic($($gargs),*)
         }
     }
@@ -856,17 +856,19 @@ where
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: Scalar, R: Dim, C: Dim> Distribution<OMatrix<T, R, C>> for Standard
+impl<T: Scalar, R: Dim, C: Dim> Distribution<OMatrix<T, R, C>> for StandardUniform
 where
     DefaultAllocator: Allocator<R, C>,
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
 {
     #[inline]
     fn sample<G: Rng + ?Sized>(&self, rng: &mut G) -> OMatrix<T, R, C> {
-        let nrows = R::try_to_usize().unwrap_or_else(|| rng.gen_range(0..10));
-        let ncols = C::try_to_usize().unwrap_or_else(|| rng.gen_range(0..10));
+        let nrows = R::try_to_usize().unwrap_or_else(|| rng.random_range(0..10));
+        let ncols = C::try_to_usize().unwrap_or_else(|| rng.random_range(0..10));
 
-        OMatrix::from_fn_generic(R::from_usize(nrows), C::from_usize(ncols), |_, _| rng.gen())
+        OMatrix::from_fn_generic(R::from_usize(nrows), C::from_usize(ncols), |_, _| {
+            rng.random()
+        })
     }
 }
 
@@ -892,7 +894,7 @@ where
 
 // TODO(specialization): faster impls possible for D≤4 (see rand_distr::{UnitCircle, UnitSphere})
 #[cfg(feature = "rand")]
-impl<T: crate::RealField, D: DimName> Distribution<Unit<OVector<T, D>>> for Standard
+impl<T: crate::RealField, D: DimName> Distribution<Unit<OVector<T, D>>> for StandardUniform
 where
     DefaultAllocator: Allocator<D>,
     rand_distr::StandardNormal: Distribution<T>,

src/base/helper.rs

@@ -3,7 +3,7 @@ use quickcheck::{Arbitrary, Gen};
 
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 
@@ -24,8 +24,8 @@ pub fn reject<F: FnMut(&T) -> bool, T: Arbitrary>(g: &mut Gen, f: F) -> T {
 #[cfg(feature = "rand-no-std")]
 pub fn reject_rand<G: Rng + ?Sized, F: FnMut(&T) -> bool, T>(g: &mut G, f: F) -> T
 where
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
 {
     use std::iter;
-    iter::repeat(()).map(|_| g.gen()).find(f).unwrap()
+    iter::repeat(()).map(|_| g.random()).find(f).unwrap()
 }

src/geometry/isometry_construction.rs

@@ -6,7 +6,7 @@ use quickcheck::{Arbitrary, Gen};
 use num::One;
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 
@@ -89,14 +89,14 @@ where
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: crate::RealField, R, const D: usize> Distribution<Isometry<T, R, D>> for Standard
+impl<T: crate::RealField, R, const D: usize> Distribution<Isometry<T, R, D>> for StandardUniform
 where
     R: AbstractRotation<T, D>,
-    Standard: Distribution<T> + Distribution<R>,
+    StandardUniform: Distribution<T> + Distribution<R>,
 {
     #[inline]
     fn sample<G: Rng + ?Sized>(&self, rng: &mut G) -> Isometry<T, R, D> {
-        Isometry::from_parts(rng.gen(), rng.gen())
+        Isometry::from_parts(rng.random(), rng.random())
     }
 }
 

src/geometry/orthographic.rs

@@ -2,7 +2,7 @@
 use quickcheck::{Arbitrary, Gen};
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 #[cfg(feature = "serde-serialize-no-std")]
@@ -741,18 +741,18 @@ impl<T: RealField> Orthographic3<T> {
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: RealField> Distribution<Orthographic3<T>> for Standard
+impl<T: RealField> Distribution<Orthographic3<T>> for StandardUniform
 where
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
 {
     /// Generate an arbitrary random variate for testing purposes.
     fn sample<R: Rng + ?Sized>(&self, r: &mut R) -> Orthographic3<T> {
         use crate::base::helper;
-        let left = r.gen();
+        let left = r.random();
         let right = helper::reject_rand(r, |x: &T| *x > left);
-        let bottom = r.gen();
+        let bottom = r.random();
         let top = helper::reject_rand(r, |x: &T| *x > bottom);
-        let znear = r.gen();
+        let znear = r.random();
         let zfar = helper::reject_rand(r, |x: &T| *x > znear);
 
         Orthographic3::new(left, right, bottom, top, znear, zfar)

src/geometry/perspective.rs

@@ -2,7 +2,7 @@
 use quickcheck::{Arbitrary, Gen};
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 
@@ -313,18 +313,18 @@ impl<T: RealField> Perspective3<T> {
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: RealField> Distribution<Perspective3<T>> for Standard
+impl<T: RealField> Distribution<Perspective3<T>> for StandardUniform
 where
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
 {
     /// Generate an arbitrary random variate for testing purposes.
     fn sample<R: Rng + ?Sized>(&self, r: &mut R) -> Perspective3<T> {
         use crate::base::helper;
-        let znear = r.gen();
+        let znear = r.random();
         let zfar = helper::reject_rand(r, |x: &T| !(x.clone() - znear.clone()).is_zero());
         let aspect = helper::reject_rand(r, |x: &T| !x.is_zero());
 
-        Perspective3::new(aspect, r.gen(), znear, zfar)
+        Perspective3::new(aspect, r.random(), znear, zfar)
     }
 }
 

src/geometry/point_construction.rs

@@ -4,7 +4,7 @@ use quickcheck::{Arbitrary, Gen};
 use num::{Bounded, One, Zero};
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 
@@ -159,15 +159,15 @@ where
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: Scalar, D: DimName> Distribution<OPoint<T, D>> for Standard
+impl<T: Scalar, D: DimName> Distribution<OPoint<T, D>> for StandardUniform
 where
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
     DefaultAllocator: Allocator<D>,
 {
     /// Generate a `Point` where each coordinate is an independent variate from `[0, 1)`.
     #[inline]
     fn sample<'a, G: Rng + ?Sized>(&self, rng: &mut G) -> OPoint<T, D> {
-        OPoint::from(rng.gen::<OVector<T, D>>())
+        OPoint::from(rng.random::<OVector<T, D>>())
     }
 }
 

src/geometry/quaternion_construction.rs

@@ -7,7 +7,7 @@ use quickcheck::{Arbitrary, Gen};
 
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{uniform::SampleUniform, Distribution, OpenClosed01, Standard, Uniform},
+    distr::{uniform::SampleUniform, Distribution, OpenClosed01, StandardUniform, Uniform},
     Rng,
 };
 
@@ -171,13 +171,13 @@ where
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: SimdRealField> Distribution<Quaternion<T>> for Standard
+impl<T: SimdRealField> Distribution<Quaternion<T>> for StandardUniform
 where
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
 {
     #[inline]
     fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Quaternion<T> {
-        Quaternion::new(rng.gen(), rng.gen(), rng.gen(), rng.gen())
+        Quaternion::new(rng.random(), rng.random(), rng.random(), rng.random())
     }
 }
 
@@ -866,7 +866,7 @@ where
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: SimdRealField> Distribution<UnitQuaternion<T>> for Standard
+impl<T: SimdRealField> Distribution<UnitQuaternion<T>> for StandardUniform
 where
     T::Element: SimdRealField,
     OpenClosed01: Distribution<T>,
@@ -879,7 +879,8 @@ where
         // Uniform random rotations.
         // In D. Kirk, editor, Graphics Gems III, pages 124-132. Academic, New York, 1992.
         let x0 = rng.sample(OpenClosed01);
-        let twopi = Uniform::new(T::zero(), T::simd_two_pi());
+        let twopi = Uniform::new(T::zero(), T::simd_two_pi())
+            .expect("Failed to costruct `Uniform`, should be unreachable");
         let theta1 = rng.sample(&twopi);
         let theta2 = rng.sample(&twopi);
         let s1 = theta1.clone().simd_sin();
@@ -921,7 +922,7 @@ mod tests {
     fn random_unit_quats_are_unit() {
         let mut rng = rand_xorshift::XorShiftRng::from_seed([0xAB; 16]);
         for _ in 0..1000 {
-            let x = rng.gen::<UnitQuaternion<f32>>();
+            let x = rng.random::<UnitQuaternion<f32>>();
             assert!(relative_eq!(x.into_inner().norm(), 1.0))
         }
     }

src/geometry/rotation_specialization.rs

@@ -7,7 +7,7 @@ use num::Zero;
 
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{uniform::SampleUniform, Distribution, OpenClosed01, Standard, Uniform},
+    distr::{uniform::SampleUniform, Distribution, OpenClosed01, StandardUniform, Uniform},
     Rng,
 };
 
@@ -271,15 +271,17 @@ impl<T: SimdRealField> Rotation2<T> {
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: SimdRealField> Distribution<Rotation2<T>> for Standard
+impl<T: SimdRealField> Distribution<Rotation2<T>> for StandardUniform
 where
     T::Element: SimdRealField,
     T: SampleUniform,
 {
     /// Generate a uniformly distributed random rotation.
     #[inline]
     fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Rotation2<T> {
-        let twopi = Uniform::new(T::zero(), T::simd_two_pi());
+        let twopi = Uniform::new(T::zero(), T::simd_two_pi())
+            .expect("Failed to costruct `Uniform`, should be unreachable");
+
         Rotation2::new(rng.sample(twopi))
     }
 }
@@ -1153,7 +1155,7 @@ impl<T: SimdRealField> Rotation3<T> {
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: SimdRealField> Distribution<Rotation3<T>> for Standard
+impl<T: SimdRealField> Distribution<Rotation3<T>> for StandardUniform
 where
     T::Element: SimdRealField,
     OpenClosed01: Distribution<T>,
@@ -1167,7 +1169,8 @@ where
         // In D. Kirk, editor, Graphics Gems III, pages 117-120. Academic, New York, 1992.
 
         // Compute a random rotation around Z
-        let twopi = Uniform::new(T::zero(), T::simd_two_pi());
+        let twopi = Uniform::new(T::zero(), T::simd_two_pi())
+            .expect("Failed to costruct `Uniform`, should be unreachable");
         let theta = rng.sample(&twopi);
         let (ts, tc) = theta.simd_sin_cos();
         let a = SMatrix::<T, 3, 3>::new(

src/geometry/scale_construction.rs

@@ -6,7 +6,7 @@ use quickcheck::{Arbitrary, Gen};
 use num::One;
 #[cfg(feature = "rand-no-std")]
 use rand::{
-    distributions::{Distribution, Standard},
+    distr::{Distribution, StandardUniform},
     Rng,
 };
 
@@ -63,14 +63,14 @@ impl<T: Scalar + One + ClosedMulAssign, const D: usize> One for Scale<T, D> {
 }
 
 #[cfg(feature = "rand-no-std")]
-impl<T: Scalar, const D: usize> Distribution<Scale<T, D>> for Standard
+impl<T: Scalar, const D: usize> Distribution<Scale<T, D>> for StandardUniform
 where
-    Standard: Distribution<T>,
+    StandardUniform: Distribution<T>,
 {
     /// Generate an arbitrary random variate for testing purposes.
     #[inline]
     fn sample<G: Rng + ?Sized>(&self, rng: &mut G) -> Scale<T, D> {
-        Scale::from(rng.gen::<SVector<T, D>>())
+        Scale::from(rng.random::<SVector<T, D>>())
     }
 }