[−][src]Struct rand::prng::XorShiftRng
An Xorshift random number generator.
The Xorshift1 algorithm is not suitable for cryptographic purposes
but is very fast. If you do not know for sure that it fits your
requirements, use a more secure one such as IsaacRng or OsRng.
-
Marsaglia, George (July 2003). "Xorshift RNGs". Journal of Statistical Software. Vol. 8 (Issue 14). ↩
Methods
impl XorShiftRng[src]
pub fn new_unseeded() -> XorShiftRng[src]
use the FromEntropy or SeedableRng trait
Creates a new XorShiftRng instance which is not seeded.
The initial values of this RNG are constants, so all generators created
by this function will yield the same stream of random numbers. It is
highly recommended that this is created through SeedableRng instead of
this function
Trait Implementations
impl Clone for XorShiftRng[src]
fn clone(&self) -> XorShiftRng[src]
fn clone_from(&mut self, source: &Self)1.0.0[src]
Performs copy-assignment from source. Read more
impl Debug for XorShiftRng[src]
impl RngCore for XorShiftRng[src]
fn next_u32(&mut self) -> u32[src]
fn next_u64(&mut self) -> u64[src]
fn fill_bytes(&mut self, dest: &mut [u8])[src]
fn try_fill_bytes(&mut self, dest: &mut [u8]) -> Result<(), Error>[src]
impl SeedableRng for XorShiftRng[src]
type Seed = [u8; 16]
Seed type, which is restricted to types mutably-dereferencable as u8 arrays (we recommend [u8; N] for some N). Read more
fn from_seed(seed: Self::Seed) -> Self[src]
fn from_rng<R: RngCore>(rng: R) -> Result<Self, Error>[src]
fn seed_from_u64(state: u64) -> Self[src]
Create a new PRNG using a u64 seed. Read more
Auto Trait Implementations
impl Send for XorShiftRng
impl Sync for XorShiftRng
Blanket Implementations
impl<R> Rng for R where
R: RngCore + ?Sized, [src]
R: RngCore + ?Sized,
fn gen<T>(&mut self) -> T where
Standard: Distribution<T>, [src]
Standard: Distribution<T>,
Return a random value supporting the [Standard] distribution. Read more
fn gen_range<T: PartialOrd + SampleUniform>(&mut self, low: T, high: T) -> T[src]
Generate a random value in the range [low, high), i.e. inclusive of low and exclusive of high. Read more
fn sample<T, D: Distribution<T>>(&mut self, distr: D) -> T[src]
Sample a new value, using the given distribution. Read more
ⓘImportant traits for DistIter<'a, D, R, T>fn sample_iter<'a, T, D: Distribution<T>>(
&'a mut self,
distr: &'a D
) -> DistIter<'a, D, Self, T> where
Self: Sized, [src]
&'a mut self,
distr: &'a D
) -> DistIter<'a, D, Self, T> where
Self: Sized,
Create an iterator that generates values using the given distribution. Read more
fn fill<T: AsByteSliceMut + ?Sized>(&mut self, dest: &mut T)[src]
Fill dest entirely with random bytes (uniform value distribution), where dest is any type supporting [AsByteSliceMut], namely slices and arrays over primitive integer types (i8, i16, u32, etc.). Read more
fn try_fill<T: AsByteSliceMut + ?Sized>(
&mut self,
dest: &mut T
) -> Result<(), Error>[src]
&mut self,
dest: &mut T
) -> Result<(), Error>
Fill dest entirely with random bytes (uniform value distribution), where dest is any type supporting [AsByteSliceMut], namely slices and arrays over primitive integer types (i8, i16, u32, etc.). Read more
fn gen_bool(&mut self, p: f64) -> bool[src]
Return a bool with a probability p of being true. Read more
fn choose<'a, T>(&mut self, values: &'a [T]) -> Option<&'a T>[src]
Return a random element from values. Read more
fn choose_mut<'a, T>(&mut self, values: &'a mut [T]) -> Option<&'a mut T>[src]
Return a mutable pointer to a random element from values. Read more
fn shuffle<T>(&mut self, values: &mut [T])[src]
Shuffle a mutable slice in place. Read more
ⓘImportant traits for Generator<T, R>fn gen_iter<T>(&mut self) -> Generator<T, &mut Self> where
Standard: Distribution<T>, [src]
Standard: Distribution<T>,
use Rng::sample_iter(&Standard) instead
Return an iterator that will yield an infinite number of randomly generated items. Read more
fn gen_weighted_bool(&mut self, n: u32) -> bool[src]
use gen_bool instead
Return a bool with a 1 in n chance of true Read more
ⓘImportant traits for AsciiGenerator<R>fn gen_ascii_chars(&mut self) -> AsciiGenerator<&mut Self>[src]
use sample_iter(&Alphanumeric) instead
Return an iterator of random characters from the set A-Z,a-z,0-9. Read more
impl<R> FromEntropy for R where
R: SeedableRng, [src]
R: SeedableRng,
fn from_entropy() -> R[src]
impl<T> From for T[src]
impl<T, U> Into for T where
U: From<T>, [src]
U: From<T>,
impl<T> ToOwned for T where
T: Clone, [src]
T: Clone,
impl<T, U> TryFrom for T where
T: From<U>, [src]
T: From<U>,
type Error = !
try_from)The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>[src]
impl<T> Borrow for T where
T: ?Sized, [src]
T: ?Sized,
impl<T> BorrowMut for T where
T: ?Sized, [src]
T: ?Sized,
fn borrow_mut(&mut self) -> &mut T[src]
impl<T, U> TryInto for T where
U: TryFrom<T>, [src]
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
try_from)The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>[src]
impl<T> Any for T where
T: 'static + ?Sized, [src]
T: 'static + ?Sized,