pub struct TinyMT64 { /* private fields */ }
Expand description
random TinyMT state vector
Implementations§
Trait Implementations§
source§impl PartialEq<TinyMT64> for TinyMT64
impl PartialEq<TinyMT64> for TinyMT64
source§impl RngCore for TinyMT64
impl RngCore for TinyMT64
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 TinyMT64
impl SeedableRng for TinyMT64
§type Seed = TinyMT64Seed
type Seed = TinyMT64Seed
Seed type, which is restricted to types mutably-dereferenceable as
u8
arrays (we recommend [u8; N]
for some N
). 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 moreimpl Copy for TinyMT64
impl Eq for TinyMT64
impl StructuralEq for TinyMT64
impl StructuralPartialEq for TinyMT64
Auto Trait Implementations§
impl RefUnwindSafe for TinyMT64
impl Send for TinyMT64
impl Sync for TinyMT64
impl Unpin for TinyMT64
impl UnwindSafe for TinyMT64
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
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