pub struct SFMT { /* private fields */ }
Expand description
State of SFMT
This struct implements random number generation through rand::Rng
.
Trait Implementations§
Source§impl RngCore for SFMT
impl RngCore for SFMT
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 SFMT
impl SeedableRng for SFMT
Source§type Seed = [u8; 4]
type Seed = [u8; 4]
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 moreSource§fn from_rng<R>(rng: R) -> Result<Self, Error>where
R: RngCore,
fn from_rng<R>(rng: R) -> Result<Self, Error>where
R: RngCore,
Create a new PRNG seeded from another
Rng
. Read moreSource§fn from_entropy() -> Self
fn from_entropy() -> Self
Auto Trait Implementations§
impl Freeze for SFMT
impl RefUnwindSafe for SFMT
impl Send for SFMT
impl Sync for SFMT
impl Unpin for SFMT
impl UnwindSafe for SFMT
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<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
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