Struct rand_distr::Gumbel

pub struct Gumbel<F> where
    F: Float,
    OpenClosed01: Distribution<F>,  { /* private fields */ }

Samples floating-point numbers according to the Gumbel distribution

This distribution has density function: f(x) = exp(-(z + exp(-z))) / σ, where z = (x - μ) / σ, μ is the location parameter, and σ the scale parameter.

Example

use rand::prelude::*;
use rand_distr::Gumbel;

let val: f64 = thread_rng().sample(Gumbel::new(0.0, 1.0).unwrap());
println!("{}", val);

Implementations

impl<F> Gumbel<F> where
    F: Float,
    OpenClosed01: Distribution<F>, 

pub fn new(location: F, scale: F) -> Result<Gumbel<F>, Error>

Construct a new Gumbel distribution with given location and scale.

Trait Implementations

impl<F: Clone> Clone for Gumbel<F> where
    F: Float,
    OpenClosed01: Distribution<F>, 

fn clone(&self) -> Gumbel<F>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for Gumbel<F> where
    F: Float,
    OpenClosed01: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for Gumbel<F> where
    F: Float,
    OpenClosed01: Distribution<F>, 

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

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.

fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
    F: Fn(T) -> S, 

Create a distribution of values of ‘S’ by mapping the output of Self through the closure F

impl<F: Copy> Copy for Gumbel<F> where
    F: Float,
    OpenClosed01: Distribution<F>,