Struct rand::rngs::StdRng

source ·
pub struct StdRng(/* private fields */);
Expand description

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 12 rounds. Please see this relevant rand issue for the discussion. 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§

source§

impl Clone for StdRng

source§

fn clone(&self) -> StdRng

Returns a copy of the value. Read more
1.0.0 · source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
source§

impl Debug for StdRng

source§

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
source§

impl PartialEq for StdRng

source§

fn eq(&self, other: &StdRng) -> bool

This method tests for self and other values to be equal, and is used by ==.
1.0.0 · source§

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
source§

impl RngCore for StdRng

source§

fn next_u32(&mut self) -> u32

Return the next random u32. Read more
source§

fn next_u64(&mut self) -> u64

Return the next random u64. Read more
source§

fn fill_bytes(&mut self, dest: &mut [u8])

Fill dest with random data. Read more
source§

fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>

Fill dest entirely with random data. Read more
source§

impl SeedableRng for StdRng

§

type Seed = <ChaCha12Rng as SeedableRng>::Seed

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

fn from_seed(seed: Self::Seed) -> Self

Create a new PRNG using the given seed. Read more
source§

fn from_rng<R: RngCore>(rng: R) -> Result<Self, Error>

Create a new PRNG seeded from another Rng. Read more
source§

fn seed_from_u64(state: u64) -> Self

Create a new PRNG using a u64 seed. Read more
source§

fn from_entropy() -> Self

Creates a new instance of the RNG seeded via getrandom. Read more
source§

impl CryptoRng for StdRng

source§

impl Eq for StdRng

source§

impl StructuralEq for StdRng

source§

impl StructuralPartialEq for StdRng

Auto Trait Implementations§

Blanket Implementations§

source§

impl<T> Any for T
where T: 'static + ?Sized,

source§

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
source§

impl<T> Borrow<T> for T
where T: ?Sized,

source§

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
source§

impl<T> BorrowMut<T> for T
where T: ?Sized,

source§

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
source§

impl<T> CryptoRngCore for T
where T: CryptoRng + RngCore,

source§

fn as_rngcore(&mut self) -> &mut dyn RngCore

Upcast to an RngCore trait object.
source§

impl<T> From<T> for T

source§

fn from(t: T) -> T

Returns the argument unchanged.

source§

impl<T, U> Into<U> for T
where U: From<T>,

source§

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

source§

impl<R> Rng for R
where R: RngCore + ?Sized,

source§

fn gen<T>(&mut self) -> T

Return a random value supporting the Standard distribution. Read more
source§

fn gen_range<T, R>(&mut self, range: R) -> T
where T: SampleUniform, R: SampleRange<T>,

Generate a random value in the given range. Read more
source§

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

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

fn sample_iter<T, D>(self, distr: D) -> DistIter<D, Self, T>
where D: Distribution<T>, Self: Sized,

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

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

Fill any type implementing Fill with random data Read more
source§

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

Fill any type implementing Fill with random data Read more
source§

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

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

fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool

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
source§

impl<T> ToOwned for T
where T: Clone,

§

type Owned = T

The resulting type after obtaining ownership.
source§

fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
source§

fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
source§

impl<T, U> TryFrom<U> for T
where U: Into<T>,

§

type Error = Infallible

The type returned in the event of a conversion error.
source§

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
source§

impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

§

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

The type returned in the event of a conversion error.
source§

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
source§

impl<V, T> VZip<V> for T
where V: MultiLane<T>,

source§

fn vzip(self) -> V