Struct peroxide::macros::matlab_macro::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 RngCore for StdRng
impl RngCore for StdRng
source§fn fill_bytes(&mut self, dest: &mut [u8])
fn fill_bytes(&mut self, dest: &mut [u8])
Fill
dest
with random data. Read moresource§impl SeedableRng for StdRng
impl SeedableRng for StdRng
source§type Seed = <ChaCha12Rng as SeedableRng>::Seed
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 moresource§fn from_seed(seed: <StdRng as SeedableRng>::Seed) -> StdRng
fn from_seed(seed: <StdRng as SeedableRng>::Seed) -> StdRng
Create a new PRNG using the given seed. Read more
source§fn from_rng<R>(rng: R) -> Result<StdRng, Error>where
R: RngCore,
fn from_rng<R>(rng: R) -> Result<StdRng, Error>where
R: RngCore,
Create a new PRNG seeded from another
Rng
. Read moresource§fn seed_from_u64(state: u64) -> Self
fn seed_from_u64(state: u64) -> Self
Create a new PRNG using a
u64
seed. Read moresource§fn from_entropy() -> Self
fn from_entropy() -> Self
impl CryptoRng for StdRng
impl Eq for StdRng
impl StructuralPartialEq for StdRng
Auto Trait Implementations§
impl Freeze for StdRng
impl RefUnwindSafe for StdRng
impl Send for StdRng
impl Sync for StdRng
impl Unpin for StdRng
impl UnwindSafe for StdRng
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
source§unsafe fn clone_to_uninit(&self, dst: *mut T)
unsafe fn clone_to_uninit(&self, dst: *mut T)
🔬This is a nightly-only experimental API. (
clone_to_uninit
)source§impl<T> CryptoRngCore for T
impl<T> CryptoRngCore for T
§impl<Q, K> Equivalent<K> for Q
impl<Q, K> Equivalent<K> for Q
§fn equivalent(&self, key: &K) -> bool
fn equivalent(&self, key: &K) -> bool
Checks if this value is equivalent to the given key. Read more
source§impl<T> IntoEither for T
impl<T> IntoEither for T
source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moresource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more§impl<T> Pointable for T
impl<T> Pointable for T
source§impl<R> Rng for R
impl<R> Rng for R
source§fn gen<T>(&mut self) -> Twhere
Standard: Distribution<T>,
fn gen<T>(&mut self) -> Twhere
Standard: Distribution<T>,
source§fn gen_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
fn gen_range<T, R>(&mut self, range: R) -> Twhere
T: SampleUniform,
R: SampleRange<T>,
Generate a random value in the given range. Read more
source§fn sample<T, D>(&mut self, distr: D) -> Twhere
D: Distribution<T>,
fn sample<T, D>(&mut self, distr: D) -> Twhere
D: Distribution<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,
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 gen_bool(&mut self, p: f64) -> bool
fn gen_bool(&mut self, p: f64) -> bool
Return a bool with a probability
p
of being true. Read moresource§fn gen_ratio(&mut self, numerator: u32, denominator: u32) -> bool
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