Struct snarkvm_algorithms::polycommit::optional_rng::OptionalRng   
source · pub struct OptionalRng<R>(pub Option<R>);Expand description
OptionalRng is a hack that is necessary because Option<&mut R> is not implicitly reborrowed
like &mut R is. This causes problems when a variable of type Option<&mut R>
is moved (eg, in a loop).
To overcome this, we define the wrapper OptionalRng here that can be borrowed
mutably, without fear of being moved.
Tuple Fields§
§0: Option<R>Trait Implementations§
source§impl<R: RngCore> From<R> for OptionalRng<R>
 
impl<R: RngCore> From<R> for OptionalRng<R>
source§impl<R: RngCore> RngCore for OptionalRng<R>
 
impl<R: RngCore> RngCore for OptionalRng<R>
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<R> RefUnwindSafe for OptionalRng<R>where
    R: RefUnwindSafe,
impl<R> Send for OptionalRng<R>where
    R: Send,
impl<R> Sync for OptionalRng<R>where
    R: Sync,
impl<R> Unpin for OptionalRng<R>where
    R: Unpin,
impl<R> UnwindSafe for OptionalRng<R>where
    R: UnwindSafe,
Blanket Implementations§
§impl<T> Pointable for T
 
impl<T> Pointable for T
source§impl<R> Rng for Rwhere
    R: RngCore + ?Sized,
 
impl<R> Rng for Rwhere
    R: RngCore + ?Sized,
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