Struct flow_sdk::algorithms::secp256k1::rand::rngs::StdRng [−][src]
pub struct StdRng(_);
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 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
type Seed = <Hc128Rng as SeedableRng>::Seed
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
Create a new PRNG using the given seed. Read more
Create a new PRNG seeded from another Rng
. Read more
Create a new PRNG using a u64
seed. Read more
Auto Trait Implementations
impl RefUnwindSafe for StdRng
impl UnwindSafe for StdRng
Blanket Implementations
Mutably borrows from an owned value. Read more
Creates a new instance, automatically seeded with fresh entropy. Read more
Wrap the input message T
in a tonic::Request
fn gen_range<T, B1, B2>(&mut self, low: B1, high: B2) -> T where
T: SampleUniform,
B1: SampleBorrow<T>,
B2: SampleBorrow<T>,
fn gen_range<T, B1, B2>(&mut self, low: B1, high: B2) -> T where
T: SampleUniform,
B1: SampleBorrow<T>,
B2: SampleBorrow<T>,
Generate a random value in the range [low
, high
), i.e. inclusive of
low
and exclusive of high
. Read more
Sample a new value, using the given distribution. Read more
fn sample_iter<T, D>(&'a mut self, distr: &'a D) -> DistIter<'a, D, Self, T>ⓘ where
D: Distribution<T>,
fn sample_iter<T, D>(&'a mut self, distr: &'a D) -> DistIter<'a, D, Self, T>ⓘ where
D: Distribution<T>,
Create an iterator that generates values using the given distribution. Read more
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
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
Return a bool with a probability p
of being true. Read more
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
use SliceRandom::choose instead
Return a random element from values
. Read more
use SliceRandom::choose_mut instead
Return a mutable pointer to a random element from values
. Read more
Attaches the provided Subscriber
to this type, returning a
WithDispatch
wrapper. Read more
Attaches the current default Subscriber
to this type, returning a
WithDispatch
wrapper. Read more