Struct rand::distributions::Open01

pub struct Open01;

A distribution to sample floating point numbers uniformly in the open interval (0, 1), i.e. not including either endpoint.

All values that can be generated are of the form n * ε + ε/2. For f32 the 22 most significant random bits of an u32 are used, for f64 52 from an u64. The conversion uses a transmute-based method.

See also: Standard which samples from [0, 1), OpenClosed01 which samples from (0, 1] and Uniform which samples from arbitrary ranges.

Example

use rand::{thread_rng, Rng};
use rand::distributions::Open01;

let val: f32 = thread_rng().sample(Open01);
println!("f32 from (0, 1): {}", val);

Trait Implementations

impl Distribution<f32> for Open01

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f32

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

Important traits for DistIter<D, R, T>

impl<D, R, T> Iterator for DistIter<D, R, T> where
    D: Distribution<T>,
    R: Rng,  type Item = T;

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

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

impl Distribution<f64> for Open01

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64

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

Important traits for DistIter<D, R, T>

impl<D, R, T> Iterator for DistIter<D, R, T> where
    D: Distribution<T>,
    R: Rng,  type Item = T;

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

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

impl Clone for Open01

fn clone(&self) -> Open01

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for Open01

impl Debug for Open01

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

Formats the value using the given formatter.