Struct xoroshiro128::XorShift1024Rng [] [src]

pub struct XorShift1024Rng { /* fields omitted */ }

Methods

impl XorShift1024Rng
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Creates a new XorShift1024Rng instance which is randomly seeded.

Errors

When created this way the initial values of this Rng are seeded using an OsRng. If this fails then this method will pass through the error from OsRng.

Examples

use xoroshiro128::{Rng, XorShift1024Rng};

let rng = XorShift1024Rng::new();
let x: u32 = rng.unwrap().gen();
println!("{}", x);

Trait Implementations

impl Debug for XorShift1024Rng
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Formats the value using the given formatter.

impl Clone for XorShift1024Rng
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Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

impl Copy for XorShift1024Rng
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impl Rng for XorShift1024Rng
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Return the next random u32. Read more

Return the next random u64. Read more

Return the next random f32 selected from the half-open interval [0, 1). Read more

Return the next random f64 selected from the half-open interval [0, 1). Read more

Fill dest with random data. Read more

Return a random value of a Rand type. Read more

Return an iterator that will yield an infinite number of randomly generated items. Read more

Generate a random value in the range [low, high). Read more

Return a bool with a 1 in n chance of true Read more

Return an iterator of random characters from the set A-Z,a-z,0-9. Read more

Return a random element from values. Read more

Return a mutable pointer to a random element from values. Read more

Shuffle a mutable slice in place. Read more

impl SeedableRng<[u64; 16]> for XorShift1024Rng
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Seed a XorShift1024Rng with a given seed.

Panics

XorShift1024Rng is undefined for the seed containing all zeros and will panic if this seed is provided.

Reseed an RNG with the given seed. Read more

Create a new RNG with the given seed. Read more

impl SeedableRng<u64> for XorShift1024Rng
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Reseed an RNG with the given seed. Read more

Create a new RNG with the given seed. Read more

impl Rand for XorShift1024Rng
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Generates a random instance of this type using the specified source of randomness. Read more