[][src]Struct peroxide::macros::r_macro::SmallRng

pub struct SmallRng(_);

An RNG recommended when small state, cheap initialization and good performance are required. The PRNG algorithm in SmallRng is chosen to be efficient on the current platform, without consideration for cryptography or security. The size of its state is much smaller than for StdRng.

Reproducibility of output from this generator is however not required, thus future library versions may use a different internal generator with different output. Further, this generator may not be portable and can produce different output depending on the architecture. If you require reproducible output, use a named RNG. Refer to The Book.

The current algorithm is [Pcg64Mcg][rand_pcg::Pcg64Mcg] on 64-bit platforms with Rust version 1.26 and later, or [Pcg32][rand_pcg::Pcg32] otherwise. Both are found in the rand_pcg crate.

Examples

Initializing SmallRng with a random seed can be done using FromEntropy:

use rand::FromEntropy;
use rand::rngs::SmallRng;

// Create small, cheap to initialize and fast RNG with a random seed.
// The randomness is supplied by the operating system.
let mut small_rng = SmallRng::from_entropy();

When initializing a lot of SmallRng's, using thread_rng can be more efficient:

use std::iter;
use rand::{SeedableRng, thread_rng};
use rand::rngs::SmallRng;

// Create a big, expensive to initialize and slower, but unpredictable RNG.
// This is cached and done only once per thread.
let mut thread_rng = thread_rng();
// Create small, cheap to initialize and fast RNGs with random seeds.
// One can generally assume this won't fail.
let rngs: Vec<SmallRng> = iter::repeat(())
    .map(|()| SmallRng::from_rng(&mut thread_rng).unwrap())
    .take(10)
    .collect();

Trait Implementations

impl Debug for SmallRng[src]

impl Clone for SmallRng[src]

default fn clone_from(&mut self, source: &Self)
1.0.0
[src]

Performs copy-assignment from source. Read more

impl SeedableRng for SmallRng[src]

type Seed = <Mcg128Xsl64 as SeedableRng>::Seed

Seed type, which is restricted to types mutably-dereferencable as u8 arrays (we recommend [u8; N] for some N). Read more

default fn seed_from_u64(state: u64) -> Self[src]

Create a new PRNG using a u64 seed. Read more

impl RngCore for SmallRng[src]

Auto Trait Implementations

impl Send for SmallRng

impl Sync for SmallRng

Blanket Implementations

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

impl<T> From for T[src]

impl<T, U> Into for T where
    U: From<T>, 
[src]

impl<T, U> TryFrom for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T> Borrow for T where
    T: ?Sized
[src]

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> BorrowMut for T where
    T: ?Sized
[src]

impl<T, U> TryInto for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

impl<R> Rng for R where
    R: RngCore + ?Sized
[src]

default fn gen<T>(&mut self) -> T where
    Standard: Distribution<T>, 
[src]

Return a random value supporting the [Standard] distribution. Read more

default fn gen_range<T, B1, B2>(&mut self, low: B1, high: B2) -> T where
    B1: SampleBorrow<T>,
    B2: SampleBorrow<T>,
    T: SampleUniform
[src]

Generate a random value in the range [low, high), i.e. inclusive of low and exclusive of high. Read more

default fn sample<T, D>(&mut self, distr: D) -> T where
    D: Distribution<T>, 
[src]

Sample a new value, using the given distribution. Read more

default fn sample_iter<T, D>(
    &'a mut self,
    distr: &'a D
) -> DistIter<'a, D, Self, T> where
    D: Distribution<T>, 
[src]

Create an iterator that generates values using the given distribution. Read more

default fn fill<T>(&mut self, dest: &mut T) where
    T: AsByteSliceMut + ?Sized
[src]

Fill dest entirely with random bytes (uniform value distribution), where dest is any type supporting [AsByteSliceMut], namely slices and arrays over primitive integer types (i8, i16, u32, etc.). Read more

default fn try_fill<T>(&mut self, dest: &mut T) -> Result<(), Error> where
    T: AsByteSliceMut + ?Sized
[src]

Fill dest entirely with random bytes (uniform value distribution), where dest is any type supporting [AsByteSliceMut], namely slices and arrays over primitive integer types (i8, i16, u32, etc.). Read more

default fn gen_bool(&mut self, p: f64) -> bool[src]

Return a bool with a probability p of being true. Read more

default fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool[src]

Return a bool with a probability of numerator/denominator of being true. I.e. gen_ratio(2, 3) has chance of 2 in 3, or about 67%, of returning true. If numerator == denominator, then the returned value is guaranteed to be true. If numerator == 0, then the returned value is guaranteed to be false. Read more

default fn choose<T>(&mut self, values: &'a [T]) -> Option<&'a T>[src]

Deprecated since 0.6.0:

use SliceRandom::choose instead

Return a random element from values. Read more

default fn choose_mut<T>(&mut self, values: &'a mut [T]) -> Option<&'a mut T>[src]

Deprecated since 0.6.0:

use SliceRandom::choose_mut instead

Return a mutable pointer to a random element from values. Read more

default fn shuffle<T>(&mut self, values: &mut [T])[src]

Deprecated since 0.6.0:

use SliceRandom::shuffle instead

Shuffle a mutable slice in place. Read more

impl<R> FromEntropy for R where
    R: SeedableRng
[src]