Struct markovian::distributions::Unary

pub struct Unary<S, T, F, D> where
    F: Fn(S) -> T,
    D: Distribution<S>,  { /* fields omitted */ }

Concrete struct for the function of a `Distribution.

Examples

The squared of a exponential.

let exp_squared = Unary::new(|x: f64| x.powi(2_i32),  Exp1);

Implementations

impl<S, T, F, D> Unary<S, T, F, D> where
    F: Fn(S) -> T,
    D: Distribution<S>, 

pub fn new(func: F, distr: D) -> Self

Trait Implementations

impl<S: Clone, T: Clone, F: Clone, D: Clone> Clone for Unary<S, T, F, D> where
    F: Fn(S) -> T,
    D: Distribution<S>, 

fn clone(&self) -> Unary<S, T, F, D>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<S: Copy, T: Copy, F: Copy, D: Copy> Copy for Unary<S, T, F, D> where
    F: Fn(S) -> T,
    D: Distribution<S>, 

impl<S: Debug, T: Debug, F: Debug, D: Debug> Debug for Unary<S, T, F, D> where
    F: Fn(S) -> T,
    D: Distribution<S>, 

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

Formats the value using the given formatter.

impl<S, T, F, D> Distribution<T> for Unary<S, T, F, D> where
    F: Fn(S) -> T,
    D: Distribution<S>, 

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.