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§
§impl<T> AnySync for T
impl<T> AnySync for T
§impl<'a, T, E> AsTaggedExplicit<'a, E> for Twhere
T: 'a,
impl<'a, T, E> AsTaggedExplicit<'a, E> for Twhere
T: 'a,
§impl<'a, T, E> AsTaggedImplicit<'a, E> for Twhere
T: 'a,
impl<'a, T, E> AsTaggedImplicit<'a, E> for Twhere
T: 'a,
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<T> Downcast for Twhere
T: AsAny + ?Sized,
impl<T> Downcast for Twhere
T: AsAny + ?Sized,
§fn downcast_ref<T>(&self) -> Option<&T>where
T: AsAny,
fn downcast_ref<T>(&self) -> Option<&T>where
T: AsAny,
Forward to the method defined on the type
Any
.§fn downcast_mut<T>(&mut self) -> Option<&mut T>where
T: AsAny,
fn downcast_mut<T>(&mut self) -> Option<&mut T>where
T: AsAny,
Forward to the method defined on the type
Any
.source§impl<Q, K> Equivalent<K> for Q
impl<Q, K> Equivalent<K> for Q
source§fn equivalent(&self, key: &K) -> bool
fn equivalent(&self, key: &K) -> bool
Compare self to
key
and return true
if they are equal.§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
§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
Compare self to
key
and return true
if they are equal.§impl<T> Instrument for T
impl<T> Instrument for T
§fn instrument(self, span: Span) -> Instrumented<Self> ⓘ
fn instrument(self, span: Span) -> Instrumented<Self> ⓘ
source§impl<T> IntoRequest<T> for T
impl<T> IntoRequest<T> for T
source§fn into_request(self) -> Request<T>
fn into_request(self) -> Request<T>
Wrap the input message
T
in a tonic::Request
source§impl<R> RandBigInt for R
impl<R> RandBigInt for R
source§fn gen_biguint(&mut self, bit_size: usize) -> BigUint
fn gen_biguint(&mut self, bit_size: usize) -> BigUint
Generate a random
BigUint
of the given bit size.source§fn gen_bigint(&mut self, bit_size: usize) -> BigInt
fn gen_bigint(&mut self, bit_size: usize) -> BigInt
Generate a random BigInt of the given bit size.
source§fn gen_biguint_below(&mut self, bound: &BigUint) -> BigUint
fn gen_biguint_below(&mut self, bound: &BigUint) -> BigUint
Generate a random
BigUint
less than the given bound. Fails
when the bound is zero.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