Struct rand_distr::Cauchy

pub struct Cauchy<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>,  { /* private fields */ }

The Cauchy distribution Cauchy(median, scale).

This distribution has a density function: f(x) = 1 / (pi * scale * (1 + ((x - median) / scale)^2))

Note that at least for f32, results are not fully portable due to minor differences in the target system’s tan implementation, tanf.

Example

use rand_distr::{Cauchy, Distribution};

let cau = Cauchy::new(2.0, 5.0).unwrap();
let v = cau.sample(&mut rand::thread_rng());
println!("{} is from a Cauchy(2, 5) distribution", v);

Implementations

impl<F> Cauchy<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>, 

pub fn new(median: F, scale: F) -> Result<Cauchy<F>, Error>

Construct a new Cauchy with the given shape parameters median the peak location and scale the scale factor.

Trait Implementations

impl<F: Clone> Clone for Cauchy<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>, 

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

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug> Debug for Cauchy<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>, 

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

Formats the value using the given formatter.

impl<F> Distribution<F> for Cauchy<F> where
    F: Float + FloatConst,
    Standard: 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 Cauchy<F> where
    F: Float + FloatConst,
    Standard: Distribution<F>,