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 23 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.
use rand::{thread_rng, Rng};
use rand::distributions::Open01;
let val: f32 = thread_rng().sample(Open01);
println!("f32 from (0, 1): {}", val);
Formats the value using the given formatter. Read more
Generate a random value of T
, using rng
as the source of randomness.
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl Distribution<f64> for Open01
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pub fn sample<R>(&self, rng: &mut R) -> f64 where
R: Rng + ?Sized,
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Generate a random value of T
, using rng
as the source of randomness.
pub fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘ where
R: Rng,
[src]
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
impl Copy for Open01
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impl<T> Any for T where
T: 'static + ?Sized,
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impl<T> Borrow<T> for T where
T: ?Sized,
[src]
impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]
impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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impl<T> ToOwned for T where
T: Clone,
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type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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Creates owned data from borrowed data, usually by cloning. Read more
pub fn clone_into(&self, target: &mut T)
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🔬 This is a nightly-only experimental API. (toowned_clone_into
)
recently added
Uses borrowed data to replace owned data, usually by cloning. Read more
impl<T, U> TryFrom<U> for T where
U: Into<T>,
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
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