chore: upgrade rand dependency to 0.9

Cargo.toml

@@ -29,7 +29,7 @@ ndarray = { default-features = false, optional = true, version = "0.15.6" }
 num-traits = { default-features = false, features = ["i128"], version = "0.2" }
 postgres = { default-features = false, optional = true, version = "0.19" }
 proptest = { default-features = false, optional = true, features = ["std"], version = "1.0" }
-rand = { default-features = false, optional = true, version = "0.8" }
+rand = { default-features = false, optional = true, version = "0.9" }
 rkyv = { default-features = false, features = ["size_32", "std"], optional = true, version = "0.7.42" }
 rocket = { default-features = false, optional = true, version = "0.5.0-rc.3" }
 rust_decimal_macros = { default-features = false, optional = true, version = "1.33" } # This needs to be the n-1 published version
@@ -43,7 +43,7 @@ bytes = { default-features = false, version = "1.0" }
 criterion = { default-features = false, version = "0.5" }
 csv = "1"
 futures = { default-features = false, version = "0.3" }
-rand = { default-features = false, features = ["getrandom"], version = "0.8" }
+rand = { default-features = false, features = ["thread_rng"], version = "0.9" }
 rust_decimal_macros = { default-features = false, version = "1.33" }
 serde = { default-features = false, features = ["derive"], version = "1.0" }
 serde_json = "1.0"

src/rand.rs

@@ -1,13 +1,13 @@
 use crate::Decimal;
 use rand::{
-    distributions::{
+    distr::{
         uniform::{SampleBorrow, SampleUniform, UniformInt, UniformSampler},
-        Distribution, Standard,
+        Distribution, StandardUniform,
     },
     Rng,
 };
 
-impl Distribution<Decimal> for Standard {
+impl Distribution<Decimal> for StandardUniform {
     fn sample<R>(&self, rng: &mut R) -> Decimal
     where
         R: Rng + ?Sized,
@@ -16,7 +16,7 @@ impl Distribution<Decimal> for Standard {
             rng.next_u32(),
             rng.next_u32(),
             rng.next_u32(),
-            rng.gen(),
+            rng.random(),
             rng.next_u32(),
         )
     }
@@ -52,7 +52,7 @@ impl UniformSampler for DecimalSampler {
     /// assert_eq!(random.scale(), 2);
     /// ```
     #[inline]
-    fn new<B1, B2>(low: B1, high: B2) -> Self
+    fn new<B1, B2>(low: B1, high: B2) -> Result<Self, rand::distr::uniform::Error>
     where
         B1: SampleBorrow<Self::X> + Sized,
         B2: SampleBorrow<Self::X> + Sized,
@@ -79,7 +79,7 @@ impl UniformSampler for DecimalSampler {
     /// assert_eq!(random.scale(), 2);
     /// ```
     #[inline]
-    fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self
+    fn new_inclusive<B1, B2>(low: B1, high: B2) -> Result<Self, rand::distr::uniform::Error>
     where
         B1: SampleBorrow<Self::X> + Sized,
         B2: SampleBorrow<Self::X> + Sized,
@@ -88,10 +88,10 @@ impl UniformSampler for DecimalSampler {
 
         // Return our sampler, which contains an underlying i128 sampler so we
         // outsource the actual randomness implementation.
-        Self {
-            mantissa_sampler: UniformInt::new_inclusive(low.mantissa(), high.mantissa()),
+        Ok(Self {
+            mantissa_sampler: UniformInt::new_inclusive(low.mantissa(), high.mantissa())?,
             scale: low.scale(),
-        }
+        })
     }
 
     #[inline]
@@ -138,27 +138,27 @@ mod tests {
 
     #[test]
     fn has_random_decimal_instances() {
-        let mut rng = rand::rngs::OsRng;
-        let random: [Decimal; 32] = rng.gen();
+        let mut rng = rand::rng();
+        let random: [Decimal; 32] = rng.random();
         assert!(random.windows(2).any(|slice| { slice[0] != slice[1] }));
     }
 
     #[test]
     fn generates_within_range() {
-        let mut rng = rand::rngs::OsRng;
+        let mut rng = rand::rng();
         for _ in 0..128 {
-            let random = rng.gen_range(dec!(1.00)..dec!(1.05));
+            let random = rng.random_range(dec!(1.00)..dec!(1.05));
             assert!(random < dec!(1.05));
             assert!(random >= dec!(1.00));
         }
     }
 
     #[test]
     fn generates_within_inclusive_range() {
-        let mut rng = rand::rngs::OsRng;
+        let mut rng = rand::rng();
         let mut values: HashSet<Decimal> = HashSet::new();
         for _ in 0..256 {
-            let random = rng.gen_range(dec!(1.00)..=dec!(1.01));
+            let random = rng.random_range(dec!(1.00)..=dec!(1.01));
             // The scale is 2, so 1.00 and 1.01 are the only two valid choices.
             assert!(random == dec!(1.00) || random == dec!(1.01));
             values.insert(random);