Struct ark_poly_commit::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§
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<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