Struct markovian::distributions::Binary

pub struct Binary<S1, S2, T, F, D1, D2> where
    F: Fn(S1, S2) -> T,
    D1: Distribution<S1>,
    D2: Distribution<S2>,  { /* fields omitted */ }

Concrete struct for the function of two Distributions`.

Examples

A Beta(2, 1) as the sum of two exponentials(1).

let beta = Binary::new(|x: f64, y: f64| x + y,  Exp1, Exp1);

Implementations

impl<S1, S2, T, F, D1, D2> Binary<S1, S2, T, F, D1, D2> where
    F: Fn(S1, S2) -> T,
    D1: Distribution<S1>,
    D2: Distribution<S2>, 

pub fn new(func: F, distr_1: D1, distr_2: D2) -> Self

Trait Implementations

impl<S1: Clone, S2: Clone, T: Clone, F: Clone, D1: Clone, D2: Clone> Clone for Binary<S1, S2, T, F, D1, D2> where
    F: Fn(S1, S2) -> T,
    D1: Distribution<S1>,
    D2: Distribution<S2>, 

fn clone(&self) -> Binary<S1, S2, T, F, D1, D2>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<S1: Copy, S2: Copy, T: Copy, F: Copy, D1: Copy, D2: Copy> Copy for Binary<S1, S2, T, F, D1, D2> where
    F: Fn(S1, S2) -> T,
    D1: Distribution<S1>,
    D2: Distribution<S2>, 

impl<S1: Debug, S2: Debug, T: Debug, F: Debug, D1: Debug, D2: Debug> Debug for Binary<S1, S2, T, F, D1, D2> where
    F: Fn(S1, S2) -> T,
    D1: Distribution<S1>,
    D2: Distribution<S2>, 

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

Formats the value using the given formatter.

impl<S1, S2, T, F, D1, D2> Distribution<T> for Binary<S1, S2, T, F, D1, D2> where
    F: Fn(S1, S2) -> T,
    D1: Distribution<S1>,
    D2: Distribution<S2>, 

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> T

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng, 

Create an iterator that generates random values of T, using rng as the source of randomness.