pub struct EntropyRng { /* private fields */ }Expand description
A RngCore view over a Source, for crates that generate keys themselves.
ssh-key and the certificate path take an RNG rather than bytes, so the
mixing has to reach them through this rather than being applied afterwards.
Implementations§
Trait Implementations§
impl CryptoRng for EntropyRng
Source§impl RngCore for EntropyRng
impl RngCore for EntropyRng
Source§fn fill_bytes(&mut self, dest: &mut [u8])
fn fill_bytes(&mut self, dest: &mut [u8])
Fill
dest with random data. Read moreAuto Trait Implementations§
impl Freeze for EntropyRng
impl RefUnwindSafe for EntropyRng
impl Send for EntropyRng
impl Sync for EntropyRng
impl Unpin for EntropyRng
impl UnsafeUnpin for EntropyRng
impl UnwindSafe for EntropyRng
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
impl<ST, DT> CastableFrom<ST, Initialized, Initialized> for DT
impl<ST, DT> CastableFrom<ST, Uninit, Uninit> for DT
Source§impl<T> CryptoRngCore for T
impl<T> CryptoRngCore for T
§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<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.impl<T> Read<Exclusive, BecauseExclusive> for Twhere
T: ?Sized,
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