[][src]Struct rand::rngs::StdRng

pub struct StdRng(_);

The standard RNG. The PRNG algorithm in StdRng is chosen to be efficient on the current platform, to be statistically strong and unpredictable (meaning a cryptographically secure PRNG).

The current algorithm used is the ChaCha block cipher with either 20 or 12 rounds (see the stdrng_* feature flags, documented in the README). This may change as new evidence of cipher security and performance becomes available.

The algorithm is deterministic but should not be considered reproducible due to dependence on configuration and possible replacement in future library versions. For a secure reproducible generator, we recommend use of the rand_chacha crate directly.

Trait Implementations

impl Clone for StdRng[src]

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

Performs copy-assignment from source. Read more

impl Debug for StdRng[src]

impl RngCore for StdRng[src]

impl CryptoRng for StdRng[src]

impl SeedableRng for StdRng[src]

type Seed = <Rng as SeedableRng>::Seed

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

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

Create a new PRNG using a u64 seed. Read more

fn from_entropy() -> Self[src]

Creates a new instance of the RNG seeded via [getrandom]. Read more

Auto Trait Implementations

impl Unpin for StdRng

impl Sync for StdRng

impl Send for StdRng

impl UnwindSafe for StdRng

impl RefUnwindSafe for StdRng

Blanket Implementations

impl<R> Rng for R where
    R: RngCore + ?Sized
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fn gen<T>(&mut self) -> T where
    Standard: Distribution<T>, 
[src]

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

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

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

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

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

Important traits for DistIter<D, R, T>
fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T> where
    D: Distribution<T>,
    Self: Sized
[src]

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

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

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

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

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

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

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

type Owned = T

The resulting type after obtaining ownership.

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
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type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.

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

impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> Any for T where
    T: 'static + ?Sized
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impl<V, T> VZip<V> for T where
    V: MultiLane<T>, 
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