Struct rand::distributions::OpenClosed01
source · [−]pub struct OpenClosed01;
Expand description
A distribution to sample floating point numbers uniformly in the half-open
interval (0, 1]
, i.e. including 1 but not 0.
All values that can be generated are of the form n * ε/2
. For f32
the 24 most significant random bits of a u32
are used and for f64
the
53 most significant bits of a u64
are used. The conversion uses the
multiplicative method.
See also: Standard
which samples from [0, 1)
, Open01
which samples from (0, 1)
and Uniform
which samples from arbitrary
ranges.
Example
use rand::{thread_rng, Rng};
use rand::distributions::OpenClosed01;
let val: f32 = thread_rng().sample(OpenClosed01);
println!("f32 from (0, 1): {}", val);
Trait Implementations
sourceimpl Clone for OpenClosed01
impl Clone for OpenClosed01
sourcefn clone(&self) -> OpenClosed01
fn clone(&self) -> OpenClosed01
Returns a copy of the value. Read more
1.0.0const fn clone_from(&mut self, source: &Self)
const fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresourceimpl Debug for OpenClosed01
impl Debug for OpenClosed01
sourceimpl Distribution<f32> for OpenClosed01
impl Distribution<f32> for OpenClosed01
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f32
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f32
Generate a random value of
T
, using rng
as the source of randomness.sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;
where
R: Rng,
Self: Sized,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;
where
R: Rng,
Self: Sized,
D: Distribution<T>,
R: Rng, type Item = T;
Create an iterator that generates random values of
T
, using rng
as
the source of randomness. Read moresourceimpl Distribution<f64> for OpenClosed01
impl Distribution<f64> for OpenClosed01
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64
Generate a random value of
T
, using rng
as the source of randomness.sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;
where
R: Rng,
Self: Sized,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;
where
R: Rng,
Self: Sized,
D: Distribution<T>,
R: Rng, type Item = T;
Create an iterator that generates random values of
T
, using rng
as
the source of randomness. Read moreimpl Copy for OpenClosed01
Auto Trait Implementations
impl RefUnwindSafe for OpenClosed01
impl Send for OpenClosed01
impl Sync for OpenClosed01
impl Unpin for OpenClosed01
impl UnwindSafe for OpenClosed01
Blanket Implementations
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
const: unstablefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
impl<T> ToOwned for Twhere
T: Clone,
impl<T> ToOwned for Twhere
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
fn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
Uses borrowed data to replace owned data, usually by cloning. Read more