[−][src]Struct rand::rngs::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 on all platforms is HC-128, found in the rand_hc crate.
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, for example ChaChaRng from the
rand_chacha crate.
Trait Implementations
impl Clone for StdRng[src]
fn clone(&self) -> StdRng[src]
default 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]
fn next_u32(&mut self) -> u32[src]
fn next_u64(&mut self) -> u64[src]
fn fill_bytes(&mut self, dest: &mut [u8])[src]
fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>[src]
impl CryptoRng for StdRng[src]
impl SeedableRng for StdRng[src]
type Seed = <Hc128Rng 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 from_seed(seed: Self::Seed) -> Self[src]
fn from_rng<R: RngCore>(rng: R) -> Result<Self, Error>[src]
default fn seed_from_u64(state: u64) -> Self[src]
Create a new PRNG using a u64 seed. Read more
Auto Trait Implementations
Blanket Implementations
impl<R> Rng for R where
R: RngCore + ?Sized, [src]
R: RngCore + ?Sized,
fn gen<T>(&mut self) -> T where
Standard: Distribution<T>, [src]
Standard: Distribution<T>,
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]
B1: SampleBorrow<T> + Sized,
B2: SampleBorrow<T> + Sized,
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<'a, D, R, T>fn sample_iter<'a, T, D: Distribution<T>>(
&'a mut self,
distr: &'a D
) -> DistIter<'a, D, Self, T> where
Self: Sized, [src]
&'a mut self,
distr: &'a D
) -> DistIter<'a, D, Self, T> where
Self: Sized,
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]
&mut self,
dest: &mut T
) -> Result<(), Error>
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
fn choose<'a, T>(&mut self, values: &'a [T]) -> Option<&'a T>[src]
use SliceRandom::choose instead
Return a random element from values. Read more
fn choose_mut<'a, T>(&mut self, values: &'a mut [T]) -> Option<&'a mut T>[src]
use SliceRandom::choose_mut instead
Return a mutable pointer to a random element from values. Read more
fn shuffle<T>(&mut self, values: &mut [T])[src]
use SliceRandom::shuffle instead
Shuffle a mutable slice in place. Read more
impl<R> FromEntropy for R where
R: SeedableRng, [src]
R: SeedableRng,
fn from_entropy() -> R[src]
impl<T> ToOwned for T where
T: Clone, [src]
T: Clone,
impl<T> From for T[src]
impl<T, U> Into for T where
U: From<T>, [src]
U: From<T>,
impl<T, U> TryFrom for T where
U: Into<T>, [src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>[src]
impl<T> Borrow for T where
T: ?Sized, [src]
T: ?Sized,
impl<T> BorrowMut for T where
T: ?Sized, [src]
T: ?Sized,
fn borrow_mut(&mut self) -> &mut T[src]
impl<T, U> TryInto for T where
U: TryFrom<T>, [src]
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>[src]
impl<T> Any for T where
T: 'static + ?Sized, [src]
T: 'static + ?Sized,