File: rand-0.8.patch

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This patch is based on a revert of upstream commit 67541fe44dd5e21681eb37453a3aaa3274ef3512
adapted for use in the Debian package by Peter Michael Green.

--- a/Cargo.toml
+++ b/Cargo.toml
@@ -88,13 +88,11 @@
 default-features = false
 
 [dependencies.rand]
-version = "0.9.0"
-features = ["thread_rng"]
+version = "0.8.0"
 optional = true
-default-features = false
 
 [dependencies.rand_distr]
-version = "0.5.0"
+version = "0.4.0"
 optional = true
 default-features = false
 
@@ -127,7 +125,7 @@
 version = "1.0"
 
 [dev-dependencies.rand]
-version = "0.9.0"
+version = "0.8.0"
 
 [target.'cfg(target_arch = "spirv")'.dependencies.crunchy]
 version = "0.2.2"
--- a/src/rand_distr.rs
+++ b/src/rand_distr.rs
@@ -1,6 +1,6 @@
 use crate::{bf16, f16};
 
-use rand::{distr::Distribution, Rng};
+use rand::{distributions::Distribution, Rng};
 use rand_distr::uniform::UniformFloat;
 
 macro_rules! impl_distribution_via_f32 {
@@ -13,13 +13,13 @@
     };
 }
 
-impl_distribution_via_f32!(f16, rand_distr::StandardUniform);
+impl_distribution_via_f32!(f16, rand_distr::Standard);
 impl_distribution_via_f32!(f16, rand_distr::StandardNormal);
 impl_distribution_via_f32!(f16, rand_distr::Exp1);
 impl_distribution_via_f32!(f16, rand_distr::Open01);
 impl_distribution_via_f32!(f16, rand_distr::OpenClosed01);
 
-impl_distribution_via_f32!(bf16, rand_distr::StandardUniform);
+impl_distribution_via_f32!(bf16, rand_distr::Standard);
 impl_distribution_via_f32!(bf16, rand_distr::StandardNormal);
 impl_distribution_via_f32!(bf16, rand_distr::Exp1);
 impl_distribution_via_f32!(bf16, rand_distr::Open01);
@@ -34,25 +34,25 @@
 
 impl rand_distr::uniform::UniformSampler for Float16Sampler {
     type X = f16;
-    fn new<B1, B2>(low: B1, high: B2) -> Result<Self, rand_distr::uniform::Error>
+    fn new<B1, B2>(low: B1, high: B2) -> Self
     where
         B1: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
         B2: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
     {
-        Ok(Self(UniformFloat::new(
+        Self(UniformFloat::new(
             low.borrow().to_f32(),
             high.borrow().to_f32(),
-        )?))
+        ))
     }
-    fn new_inclusive<B1, B2>(low: B1, high: B2) -> Result<Self, rand_distr::uniform::Error>
+    fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self
     where
         B1: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
         B2: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
     {
-        Ok(Self(UniformFloat::new_inclusive(
+        Self(UniformFloat::new_inclusive(
             low.borrow().to_f32(),
             high.borrow().to_f32(),
-        )?))
+        ))
     }
     fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Self::X {
         f16::from_f32(self.0.sample(rng))
@@ -68,25 +68,25 @@
 
 impl rand_distr::uniform::UniformSampler for BFloat16Sampler {
     type X = bf16;
-    fn new<B1, B2>(low: B1, high: B2) -> Result<Self, rand_distr::uniform::Error>
+    fn new<B1, B2>(low: B1, high: B2) -> Self
     where
         B1: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
         B2: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
     {
-        Ok(Self(UniformFloat::new(
+        Self(UniformFloat::new(
             low.borrow().to_f32(),
             high.borrow().to_f32(),
-        )?))
+        ))
     }
-    fn new_inclusive<B1, B2>(low: B1, high: B2) -> Result<Self, rand_distr::uniform::Error>
+    fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self
     where
         B1: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
         B2: rand_distr::uniform::SampleBorrow<Self::X> + Sized,
     {
-        Ok(Self(UniformFloat::new_inclusive(
+        Self(UniformFloat::new_inclusive(
             low.borrow().to_f32(),
             high.borrow().to_f32(),
-        )?))
+        ))
     }
     fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Self::X {
         bf16::from_f32(self.0.sample(rng))
@@ -98,15 +98,15 @@
     use super::*;
 
     #[allow(unused_imports)]
-    use rand::{rng, Rng};
-    use rand_distr::{StandardNormal, StandardUniform, Uniform};
+    use rand::{thread_rng, Rng};
+    use rand_distr::{Standard, StandardNormal, Uniform};
 
     #[test]
     fn test_sample_f16() {
-        let mut rng = rng();
-        let _: f16 = rng.sample(StandardUniform);
+        let mut rng = thread_rng();
+        let _: f16 = rng.sample(Standard);
         let _: f16 = rng.sample(StandardNormal);
-        let _: f16 = rng.sample(Uniform::new(f16::from_f32(0.0), f16::from_f32(1.0)).unwrap());
+        let _: f16 = rng.sample(Uniform::new(f16::from_f32(0.0), f16::from_f32(1.0)));
         #[cfg(feature = "num-traits")]
         let _: f16 =
             rng.sample(rand_distr::Normal::new(f16::from_f32(0.0), f16::from_f32(1.0)).unwrap());
@@ -114,10 +114,10 @@
 
     #[test]
     fn test_sample_bf16() {
-        let mut rng = rng();
-        let _: bf16 = rng.sample(StandardUniform);
+        let mut rng = thread_rng();
+        let _: bf16 = rng.sample(Standard);
         let _: bf16 = rng.sample(StandardNormal);
-        let _: bf16 = rng.sample(Uniform::new(bf16::from_f32(0.0), bf16::from_f32(1.0)).unwrap());
+        let _: bf16 = rng.sample(Uniform::new(bf16::from_f32(0.0), bf16::from_f32(1.0)));
         #[cfg(feature = "num-traits")]
         let _: bf16 =
             rng.sample(rand_distr::Normal::new(bf16::from_f32(0.0), bf16::from_f32(1.0)).unwrap());