Struct Random 

pub struct Random<A: Algorithm> {
    pub distribution: Distribution,
    /* private fields */
}

pseudorandom number generator toolkit

Fields

distribution: Distribution

Decides the distribution used for generating random numbers

Implementations

impl Random<MersenneTwister>

pub fn new_mt() -> Self

Returns a new Random using the Mersenne Twister algorithm.

pub fn new_mt_from_seed(seed: u32) -> Self

Returns a new Random using the Mersenne Twister algorithm, seeded with the given seed.

impl Random<ComplementaryMultiplyWithCarry>

pub fn new_cmwc() -> Self

Returns a new Random using the Complementary Multiply With Carry algorithm.

pub fn new_cmwc_from_seed(seed: u32) -> Self

Returns a new Random using the Complementary Multiply With Carry algorithm, seeded with the given seed.

Trait Implementations

impl<A: Clone + Algorithm> Clone for Random<A>

fn clone(&self) -> Random<A>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<A: Debug + Algorithm> Debug for Random<A>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<A: Algorithm> Rng for Random<A>

fn get_i32(&mut self, min: i32, max: i32) -> i32

Get an i32 between min and max.

fn get_f32(&mut self, min: f32, max: f32) -> f32

Get an f32 between min and max.

fn get_f64(&mut self, min: f64, max: f64) -> f64

Get an f64 between min and max.

fn get_i32_mean(&mut self, min: i32, max: i32, mean: i32) -> i32

Get an i32 between min and max, using gaussian distribution with the given mean.

fn get_f32_mean(&mut self, min: f32, max: f32, mean: f32) -> f32

Get an f32 between min and max, using gaussian distribution with the given mean.

fn get_f64_mean(&mut self, min: f64, max: f64, mean: f64) -> f64

Get an f64 between min and max, using gaussian distribution with the given mean.