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-rw-r--r--rand/src/lib.rs436
1 files changed, 152 insertions, 284 deletions
diff --git a/rand/src/lib.rs b/rand/src/lib.rs
index ca231b5..b4167c3 100644
--- a/rand/src/lib.rs
+++ b/rand/src/lib.rs
@@ -17,7 +17,7 @@
//! To get you started quickly, the easiest and highest-level way to get
//! a random value is to use [`random()`]; alternatively you can use
//! [`thread_rng()`]. The [`Rng`] trait provides a useful API on all RNGs, while
-//! the [`distributions` module] and [`seq` module] provide further
+//! the [`distributions`] and [`seq`] modules provide further
//! functionality on top of RNGs.
//!
//! ```
@@ -39,12 +39,6 @@
//!
//! For the user guide and futher documentation, please read
//! [The Rust Rand Book](https://rust-random.github.io/book).
-//!
-//! [`distributions` module]: distributions/index.html
-//! [`random()`]: fn.random.html
-//! [`Rng`]: trait.Rng.html
-//! [`seq` module]: seq/index.html
-//! [`thread_rng()`]: fn.thread_rng.html
#![doc(html_logo_url = "https://www.rust-lang.org/logos/rust-logo-128x128-blk.png",
@@ -56,112 +50,64 @@
#![doc(test(attr(allow(unused_variables), deny(warnings))))]
#![cfg_attr(not(feature="std"), no_std)]
-#![cfg_attr(all(feature="alloc", not(feature="std")), feature(alloc))]
#![cfg_attr(all(feature="simd_support", feature="nightly"), feature(stdsimd))]
-#[cfg(feature = "std")] extern crate core;
-#[cfg(all(feature = "alloc", not(feature="std")))] #[macro_use] extern crate alloc;
-
-#[cfg(feature="simd_support")] extern crate packed_simd;
+#![allow(clippy::excessive_precision, clippy::unreadable_literal, clippy::float_cmp)]
-#[cfg(feature = "rand_os")]
-extern crate rand_os;
+#[cfg(all(feature="alloc", not(feature="std")))]
+extern crate alloc;
-extern crate rand_core;
-extern crate rand_isaac; // only for deprecations
-extern crate rand_chacha; // only for deprecations
-extern crate rand_hc;
-extern crate rand_pcg;
-extern crate rand_xorshift;
+#[cfg(feature = "getrandom")]
+use getrandom_package as getrandom;
-#[cfg(feature = "log")] #[macro_use] extern crate log;
#[allow(unused)]
-#[cfg(not(feature = "log"))] macro_rules! trace { ($($x:tt)*) => () }
+macro_rules! trace { ($($x:tt)*) => (
+ #[cfg(feature = "log")] {
+ log::trace!($($x)*)
+ }
+) }
#[allow(unused)]
-#[cfg(not(feature = "log"))] macro_rules! debug { ($($x:tt)*) => () }
+macro_rules! debug { ($($x:tt)*) => (
+ #[cfg(feature = "log")] {
+ log::debug!($($x)*)
+ }
+) }
#[allow(unused)]
-#[cfg(not(feature = "log"))] macro_rules! info { ($($x:tt)*) => () }
+macro_rules! info { ($($x:tt)*) => (
+ #[cfg(feature = "log")] {
+ log::info!($($x)*)
+ }
+) }
#[allow(unused)]
-#[cfg(not(feature = "log"))] macro_rules! warn { ($($x:tt)*) => () }
+macro_rules! warn { ($($x:tt)*) => (
+ #[cfg(feature = "log")] {
+ log::warn!($($x)*)
+ }
+) }
#[allow(unused)]
-#[cfg(not(feature = "log"))] macro_rules! error { ($($x:tt)*) => () }
-
+macro_rules! error { ($($x:tt)*) => (
+ #[cfg(feature = "log")] {
+ log::error!($($x)*)
+ }
+) }
// Re-exports from rand_core
-pub use rand_core::{RngCore, CryptoRng, SeedableRng};
-pub use rand_core::{ErrorKind, Error};
+pub use rand_core::{RngCore, CryptoRng, SeedableRng, Error};
// Public exports
-#[cfg(feature="std")] pub use rngs::thread::thread_rng;
+#[cfg(feature="std")] pub use crate::rngs::thread::thread_rng;
// Public modules
pub mod distributions;
pub mod prelude;
-#[deprecated(since="0.6.0")]
-pub mod prng;
pub mod rngs;
pub mod seq;
-////////////////////////////////////////////////////////////////////////////////
-// Compatibility re-exports. Documentation is hidden; will be removed eventually.
-
-#[doc(hidden)] mod deprecated;
-
-#[allow(deprecated)]
-#[doc(hidden)] pub use deprecated::ReseedingRng;
-
-#[allow(deprecated)]
-#[cfg(feature="std")] #[doc(hidden)] pub use deprecated::EntropyRng;
-
-#[allow(deprecated)]
-#[cfg(feature="rand_os")]
-#[doc(hidden)]
-pub use deprecated::OsRng;
-
-#[allow(deprecated)]
-#[doc(hidden)] pub use deprecated::{ChaChaRng, IsaacRng, Isaac64Rng, XorShiftRng};
-#[allow(deprecated)]
-#[doc(hidden)] pub use deprecated::StdRng;
-
-
-#[allow(deprecated)]
-#[doc(hidden)]
-pub mod jitter {
- pub use deprecated::JitterRng;
- pub use rngs::TimerError;
-}
-#[allow(deprecated)]
-#[cfg(feature="rand_os")]
-#[doc(hidden)]
-pub mod os {
- pub use deprecated::OsRng;
-}
-#[allow(deprecated)]
-#[doc(hidden)]
-pub mod chacha {
- pub use deprecated::ChaChaRng;
-}
-#[allow(deprecated)]
-#[doc(hidden)]
-pub mod isaac {
- pub use deprecated::{IsaacRng, Isaac64Rng};
-}
-#[allow(deprecated)]
-#[cfg(feature="std")]
-#[doc(hidden)]
-pub mod read {
- pub use deprecated::ReadRng;
-}
-
-#[allow(deprecated)]
-#[cfg(feature="std")] #[doc(hidden)] pub use deprecated::ThreadRng;
-
-////////////////////////////////////////////////////////////////////////////////
-
use core::{mem, slice};
-use distributions::{Distribution, Standard};
-use distributions::uniform::{SampleUniform, UniformSampler, SampleBorrow};
+use core::num::Wrapping;
+use crate::distributions::{Distribution, Standard};
+use crate::distributions::uniform::{SampleUniform, UniformSampler, SampleBorrow};
/// An automatically-implemented extension trait on [`RngCore`] providing high-level
/// generic methods for sampling values and other convenience methods.
@@ -200,13 +146,9 @@ use distributions::uniform::{SampleUniform, UniformSampler, SampleBorrow};
///
/// # let v = foo(&mut thread_rng());
/// ```
-///
-/// [`RngCore`]: trait.RngCore.html
pub trait Rng: RngCore {
/// Return a random value supporting the [`Standard`] distribution.
///
- /// [`Standard`]: distributions/struct.Standard.html
- ///
/// # Example
///
/// ```
@@ -217,8 +159,31 @@ pub trait Rng: RngCore {
/// println!("{}", x);
/// println!("{:?}", rng.gen::<(f64, bool)>());
/// ```
+ ///
+ /// # Arrays and tuples
+ ///
+ /// The `rng.gen()` method is able to generate arrays (up to 32 elements)
+ /// and tuples (up to 12 elements), so long as all element types can be
+ /// generated.
+ ///
+ /// For arrays of integers, especially for those with small element types
+ /// (< 64 bit), it will likely be faster to instead use [`Rng::fill`].
+ ///
+ /// ```
+ /// use rand::{thread_rng, Rng};
+ ///
+ /// let mut rng = thread_rng();
+ /// let tuple: (u8, i32, char) = rng.gen(); // arbitrary tuple support
+ ///
+ /// let arr1: [f32; 32] = rng.gen(); // array construction
+ /// let mut arr2 = [0u8; 128];
+ /// rng.fill(&mut arr2); // array fill
+ /// ```
+ ///
+ /// [`Standard`]: distributions::Standard
#[inline]
- fn gen<T>(&mut self) -> T where Standard: Distribution<T> {
+ fn gen<T>(&mut self) -> T
+ where Standard: Distribution<T> {
Standard.sample(self)
}
@@ -245,10 +210,12 @@ pub trait Rng: RngCore {
/// println!("{}", m);
/// ```
///
- /// [`Uniform`]: distributions/uniform/struct.Uniform.html
+ /// [`Uniform`]: distributions::uniform::Uniform
fn gen_range<T: SampleUniform, B1, B2>(&mut self, low: B1, high: B2) -> T
- where B1: SampleBorrow<T> + Sized,
- B2: SampleBorrow<T> + Sized {
+ where
+ B1: SampleBorrow<T> + Sized,
+ B2: SampleBorrow<T> + Sized,
+ {
T::Sampler::sample_single(low, high, self)
}
@@ -272,34 +239,39 @@ pub trait Rng: RngCore {
/// Create an iterator that generates values using the given distribution.
///
+ /// Note that this function takes its arguments by value. This works since
+ /// `(&mut R): Rng where R: Rng` and
+ /// `(&D): Distribution where D: Distribution`,
+ /// however borrowing is not automatic hence `rng.sample_iter(...)` may
+ /// need to be replaced with `(&mut rng).sample_iter(...)`.
+ ///
/// # Example
///
/// ```
/// use rand::{thread_rng, Rng};
/// use rand::distributions::{Alphanumeric, Uniform, Standard};
///
- /// let mut rng = thread_rng();
+ /// let rng = thread_rng();
///
/// // Vec of 16 x f32:
- /// let v: Vec<f32> = thread_rng().sample_iter(&Standard).take(16).collect();
+ /// let v: Vec<f32> = rng.sample_iter(Standard).take(16).collect();
///
/// // String:
- /// let s: String = rng.sample_iter(&Alphanumeric).take(7).collect();
+ /// let s: String = rng.sample_iter(Alphanumeric).take(7).collect();
///
/// // Combined values
- /// println!("{:?}", thread_rng().sample_iter(&Standard).take(5)
+ /// println!("{:?}", rng.sample_iter(Standard).take(5)
/// .collect::<Vec<(f64, bool)>>());
///
/// // Dice-rolling:
/// let die_range = Uniform::new_inclusive(1, 6);
- /// let mut roll_die = rng.sample_iter(&die_range);
+ /// let mut roll_die = rng.sample_iter(die_range);
/// while roll_die.next().unwrap() != 6 {
/// println!("Not a 6; rolling again!");
/// }
/// ```
- fn sample_iter<'a, T, D: Distribution<T>>(&'a mut self, distr: &'a D)
- -> distributions::DistIter<'a, D, Self, T> where Self: Sized
- {
+ fn sample_iter<T, D>(self, distr: D) -> distributions::DistIter<D, Self, T>
+ where D: Distribution<T>, Self: Sized {
distr.sample_iter(self)
}
@@ -323,9 +295,8 @@ pub trait Rng: RngCore {
/// thread_rng().fill(&mut arr[..]);
/// ```
///
- /// [`fill_bytes`]: trait.RngCore.html#method.fill_bytes
- /// [`try_fill`]: trait.Rng.html#method.try_fill
- /// [`AsByteSliceMut`]: trait.AsByteSliceMut.html
+ /// [`fill_bytes`]: RngCore::fill_bytes
+ /// [`try_fill`]: Rng::try_fill
fn fill<T: AsByteSliceMut + ?Sized>(&mut self, dest: &mut T) {
self.fill_bytes(dest.as_byte_slice_mut());
dest.to_le();
@@ -338,10 +309,8 @@ pub trait Rng: RngCore {
/// On big-endian platforms this performs byte-swapping to ensure
/// portability of results from reproducible generators.
///
- /// This uses [`try_fill_bytes`] internally and forwards all RNG errors. In
- /// some cases errors may be resolvable; see [`ErrorKind`] and
- /// documentation for the RNG in use. If you do not plan to handle these
- /// errors you may prefer to use [`fill`].
+ /// This is identical to [`fill`] except that it uses [`try_fill_bytes`]
+ /// internally and forwards RNG errors.
///
/// # Example
///
@@ -358,10 +327,8 @@ pub trait Rng: RngCore {
/// # try_inner().unwrap()
/// ```
///
- /// [`ErrorKind`]: enum.ErrorKind.html
- /// [`try_fill_bytes`]: trait.RngCore.html#method.try_fill_bytes
- /// [`fill`]: trait.Rng.html#method.fill
- /// [`AsByteSliceMut`]: trait.AsByteSliceMut.html
+ /// [`try_fill_bytes`]: RngCore::try_fill_bytes
+ /// [`fill`]: Rng::fill
fn try_fill<T: AsByteSliceMut + ?Sized>(&mut self, dest: &mut T) -> Result<(), Error> {
self.try_fill_bytes(dest.as_byte_slice_mut())?;
dest.to_le();
@@ -386,10 +353,10 @@ pub trait Rng: RngCore {
///
/// If `p < 0` or `p > 1`.
///
- /// [`Bernoulli`]: distributions/bernoulli/struct.Bernoulli.html
+ /// [`Bernoulli`]: distributions::bernoulli::Bernoulli
#[inline]
fn gen_bool(&mut self, p: f64) -> bool {
- let d = distributions::Bernoulli::new(p);
+ let d = distributions::Bernoulli::new(p).unwrap();
self.sample(d)
}
@@ -415,55 +382,19 @@ pub trait Rng: RngCore {
/// println!("{}", rng.gen_ratio(2, 3));
/// ```
///
- /// [`Bernoulli`]: distributions/bernoulli/struct.Bernoulli.html
+ /// [`Bernoulli`]: distributions::bernoulli::Bernoulli
#[inline]
fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool {
- let d = distributions::Bernoulli::from_ratio(numerator, denominator);
+ let d = distributions::Bernoulli::from_ratio(numerator, denominator).unwrap();
self.sample(d)
}
-
- /// Return a random element from `values`.
- ///
- /// Deprecated: use [`SliceRandom::choose`] instead.
- ///
- /// [`SliceRandom::choose`]: seq/trait.SliceRandom.html#method.choose
- #[deprecated(since="0.6.0", note="use SliceRandom::choose instead")]
- fn choose<'a, T>(&mut self, values: &'a [T]) -> Option<&'a T> {
- use seq::SliceRandom;
- values.choose(self)
- }
-
- /// Return a mutable pointer to a random element from `values`.
- ///
- /// Deprecated: use [`SliceRandom::choose_mut`] instead.
- ///
- /// [`SliceRandom::choose_mut`]: seq/trait.SliceRandom.html#method.choose_mut
- #[deprecated(since="0.6.0", note="use SliceRandom::choose_mut instead")]
- fn choose_mut<'a, T>(&mut self, values: &'a mut [T]) -> Option<&'a mut T> {
- use seq::SliceRandom;
- values.choose_mut(self)
- }
-
- /// Shuffle a mutable slice in place.
- ///
- /// Deprecated: use [`SliceRandom::shuffle`] instead.
- ///
- /// [`SliceRandom::shuffle`]: seq/trait.SliceRandom.html#method.shuffle
- #[deprecated(since="0.6.0", note="use SliceRandom::shuffle instead")]
- fn shuffle<T>(&mut self, values: &mut [T]) {
- use seq::SliceRandom;
- values.shuffle(self)
- }
}
impl<R: RngCore + ?Sized> Rng for R {}
/// Trait for casting types to byte slices
///
-/// This is used by the [`fill`] and [`try_fill`] methods.
-///
-/// [`fill`]: trait.Rng.html#method.fill
-/// [`try_fill`]: trait.Rng.html#method.try_fill
+/// This is used by the [`Rng::fill`] and [`Rng::try_fill`] methods.
pub trait AsByteSliceMut {
/// Return a mutable reference to self as a byte slice
fn as_byte_slice_mut(&mut self) -> &mut [u8];
@@ -481,6 +412,7 @@ impl AsByteSliceMut for [u8] {
}
macro_rules! impl_as_byte_slice {
+ () => {};
($t:ty) => {
impl AsByteSliceMut for [$t] {
fn as_byte_slice_mut(&mut self) -> &mut [u8] {
@@ -491,8 +423,7 @@ macro_rules! impl_as_byte_slice {
}
} else {
unsafe {
- slice::from_raw_parts_mut(&mut self[0]
- as *mut $t
+ slice::from_raw_parts_mut(self.as_mut_ptr()
as *mut u8,
self.len() * mem::size_of::<$t>()
)
@@ -506,26 +437,47 @@ macro_rules! impl_as_byte_slice {
}
}
}
+
+ impl AsByteSliceMut for [Wrapping<$t>] {
+ fn as_byte_slice_mut(&mut self) -> &mut [u8] {
+ if self.len() == 0 {
+ unsafe {
+ // must not use null pointer
+ slice::from_raw_parts_mut(0x1 as *mut u8, 0)
+ }
+ } else {
+ unsafe {
+ slice::from_raw_parts_mut(self.as_mut_ptr()
+ as *mut u8,
+ self.len() * mem::size_of::<$t>()
+ )
+ }
+ }
+ }
+
+ fn to_le(&mut self) {
+ for x in self {
+ *x = Wrapping(x.0.to_le());
+ }
+ }
+ }
+ };
+ ($t:ty, $($tt:ty,)*) => {
+ impl_as_byte_slice!($t);
+ // TODO: this could replace above impl once Rust #32463 is fixed
+ // impl_as_byte_slice!(Wrapping<$t>);
+ impl_as_byte_slice!($($tt,)*);
}
}
-impl_as_byte_slice!(u16);
-impl_as_byte_slice!(u32);
-impl_as_byte_slice!(u64);
-#[cfg(all(rustc_1_26, not(target_os = "emscripten")))] impl_as_byte_slice!(u128);
-impl_as_byte_slice!(usize);
-impl_as_byte_slice!(i8);
-impl_as_byte_slice!(i16);
-impl_as_byte_slice!(i32);
-impl_as_byte_slice!(i64);
-#[cfg(all(rustc_1_26, not(target_os = "emscripten")))] impl_as_byte_slice!(i128);
-impl_as_byte_slice!(isize);
+impl_as_byte_slice!(u16, u32, u64, usize,);
+#[cfg(not(target_os = "emscripten"))] impl_as_byte_slice!(u128);
+impl_as_byte_slice!(i8, i16, i32, i64, isize,);
+#[cfg(not(target_os = "emscripten"))] impl_as_byte_slice!(i128);
macro_rules! impl_as_byte_slice_arrays {
($n:expr,) => {};
- ($n:expr, $N:ident, $($NN:ident,)*) => {
- impl_as_byte_slice_arrays!($n - 1, $($NN,)*);
-
+ ($n:expr, $N:ident) => {
impl<T> AsByteSliceMut for [T; $n] where [T]: AsByteSliceMut {
fn as_byte_slice_mut(&mut self) -> &mut [u8] {
self[..].as_byte_slice_mut()
@@ -536,96 +488,19 @@ macro_rules! impl_as_byte_slice_arrays {
}
}
};
+ ($n:expr, $N:ident, $($NN:ident,)*) => {
+ impl_as_byte_slice_arrays!($n, $N);
+ impl_as_byte_slice_arrays!($n - 1, $($NN,)*);
+ };
(!div $n:expr,) => {};
(!div $n:expr, $N:ident, $($NN:ident,)*) => {
+ impl_as_byte_slice_arrays!($n, $N);
impl_as_byte_slice_arrays!(!div $n / 2, $($NN,)*);
-
- impl<T> AsByteSliceMut for [T; $n] where [T]: AsByteSliceMut {
- fn as_byte_slice_mut(&mut self) -> &mut [u8] {
- self[..].as_byte_slice_mut()
- }
-
- fn to_le(&mut self) {
- self[..].to_le()
- }
- }
};
}
impl_as_byte_slice_arrays!(32, N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,N,);
impl_as_byte_slice_arrays!(!div 4096, N,N,N,N,N,N,N,);
-
-/// A convenience extension to [`SeedableRng`] allowing construction from fresh
-/// entropy. This trait is automatically implemented for any PRNG implementing
-/// [`SeedableRng`] and is not intended to be implemented by users.
-///
-/// This is equivalent to using `SeedableRng::from_rng(EntropyRng::new())` then
-/// unwrapping the result.
-///
-/// Since this is convenient and secure, it is the recommended way to create
-/// PRNGs, though two alternatives may be considered:
-///
-/// * Deterministic creation using [`SeedableRng::from_seed`] with a fixed seed
-/// * Seeding from `thread_rng`: `SeedableRng::from_rng(thread_rng())?`;
-/// this will usually be faster and should also be secure, but requires
-/// trusting one extra component.
-///
-/// ## Example
-///
-/// ```
-/// use rand::{Rng, FromEntropy};
-/// use rand::rngs::StdRng;
-///
-/// let mut rng = StdRng::from_entropy();
-/// println!("Random die roll: {}", rng.gen_range(1, 7));
-/// ```
-///
-/// [`EntropyRng`]: rngs/struct.EntropyRng.html
-/// [`SeedableRng`]: trait.SeedableRng.html
-/// [`SeedableRng::from_seed`]: trait.SeedableRng.html#tymethod.from_seed
-#[cfg(feature="std")]
-pub trait FromEntropy: SeedableRng {
- /// Creates a new instance, automatically seeded with fresh entropy.
- ///
- /// Normally this will use `OsRng`, but if that fails `JitterRng` will be
- /// used instead. Both should be suitable for cryptography. It is possible
- /// that both entropy sources will fail though unlikely; failures would
- /// almost certainly be platform limitations or build issues, i.e. most
- /// applications targetting PC/mobile platforms should not need to worry
- /// about this failing.
- ///
- /// # Panics
- ///
- /// If all entropy sources fail this will panic. If you need to handle
- /// errors, use the following code, equivalent aside from error handling:
- ///
- /// ```
- /// # use rand::Error;
- /// use rand::prelude::*;
- /// use rand::rngs::EntropyRng;
- ///
- /// # fn try_inner() -> Result<(), Error> {
- /// // This uses StdRng, but is valid for any R: SeedableRng
- /// let mut rng = StdRng::from_rng(EntropyRng::new())?;
- ///
- /// println!("random number: {}", rng.gen_range(1, 10));
- /// # Ok(())
- /// # }
- ///
- /// # try_inner().unwrap()
- /// ```
- fn from_entropy() -> Self;
-}
-
-#[cfg(feature="std")]
-impl<R: SeedableRng> FromEntropy for R {
- fn from_entropy() -> R {
- R::from_rng(rngs::EntropyRng::new()).unwrap_or_else(|err|
- panic!("FromEntropy::from_entropy() failed: {}", err))
- }
-}
-
-
/// Generates a random value using the thread-local random number generator.
///
/// This is simply a shortcut for `thread_rng().gen()`. See [`thread_rng`] for
@@ -667,40 +542,26 @@ impl<R: SeedableRng> FromEntropy for R {
/// }
/// ```
///
-/// [`thread_rng`]: fn.thread_rng.html
-/// [`Standard`]: distributions/struct.Standard.html
+/// [`Standard`]: distributions::Standard
#[cfg(feature="std")]
#[inline]
-pub fn random<T>() -> T where Standard: Distribution<T> {
+pub fn random<T>() -> T
+where Standard: Distribution<T> {
thread_rng().gen()
}
#[cfg(test)]
mod test {
- use rngs::mock::StepRng;
- use rngs::StdRng;
+ use crate::rngs::mock::StepRng;
use super::*;
#[cfg(all(not(feature="std"), feature="alloc"))] use alloc::boxed::Box;
- pub struct TestRng<R> { inner: R }
-
- impl<R: RngCore> RngCore for TestRng<R> {
- fn next_u32(&mut self) -> u32 {
- self.inner.next_u32()
- }
- fn next_u64(&mut self) -> u64 {
- self.inner.next_u64()
- }
- fn fill_bytes(&mut self, dest: &mut [u8]) {
- self.inner.fill_bytes(dest)
- }
- fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error> {
- self.inner.try_fill_bytes(dest)
- }
- }
-
- pub fn rng(seed: u64) -> TestRng<StdRng> {
- TestRng { inner: StdRng::seed_from_u64(seed) }
+ /// Construct a deterministic RNG with the given seed
+ pub fn rng(seed: u64) -> impl RngCore {
+ // For tests, we want a statistically good, fast, reproducible RNG.
+ // PCG32 will do fine, and will be easy to embed if we ever need to.
+ const INC: u64 = 11634580027462260723;
+ rand_pcg::Pcg32::new(seed, INC)
}
#[test]
@@ -740,6 +601,12 @@ mod test {
rng.fill(&mut array[..]);
assert_eq!(array, [x as u32, (x >> 32) as u32]);
assert_eq!(rng.next_u32(), x as u32);
+
+ // Check equivalence using wrapped arrays
+ let mut warray = [Wrapping(0u32); 2];
+ rng.fill(&mut warray[..]);
+ assert_eq!(array[0], warray[0].0);
+ assert_eq!(array[1], warray[1].0);
}
#[test]
@@ -796,9 +663,9 @@ mod test {
#[test]
fn test_rng_trait_object() {
- use distributions::{Distribution, Standard};
+ use crate::distributions::{Distribution, Standard};
let mut rng = rng(109);
- let mut r = &mut rng as &mut RngCore;
+ let mut r = &mut rng as &mut dyn RngCore;
r.next_u32();
r.gen::<i32>();
assert_eq!(r.gen_range(0, 1), 0);
@@ -808,9 +675,9 @@ mod test {
#[test]
#[cfg(feature="alloc")]
fn test_rng_boxed_trait() {
- use distributions::{Distribution, Standard};
+ use crate::distributions::{Distribution, Standard};
let rng = rng(110);
- let mut r = Box::new(rng) as Box<RngCore>;
+ let mut r = Box::new(rng) as Box<dyn RngCore>;
r.next_u32();
r.gen::<i32>();
assert_eq!(r.gen_range(0, 1), 0);
@@ -833,6 +700,7 @@ mod test {
}
#[test]
+ #[cfg(not(miri))] // Miri is too slow
fn test_gen_ratio_average() {
const NUM: u32 = 3;
const DENOM: u32 = 10;