```
pub trait UniformSampler: Sized {
type X;
// Required methods
fn new<B1, B2>(low: B1, high: B2) -> Self
where B1: SampleBorrow<Self::X> + Sized,
B2: SampleBorrow<Self::X> + Sized;
fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self
where B1: SampleBorrow<Self::X> + Sized,
B2: SampleBorrow<Self::X> + Sized;
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> Self::X;
// Provided methods
fn sample_single<R: Rng + ?Sized, B1, B2>(
low: B1,
high: B2,
rng: &mut R,
) -> Self::X
where B1: SampleBorrow<Self::X> + Sized,
B2: SampleBorrow<Self::X> + Sized { ... }
fn sample_single_inclusive<R: Rng + ?Sized, B1, B2>(
low: B1,
high: B2,
rng: &mut R,
) -> Self::X
where B1: SampleBorrow<Self::X> + Sized,
B2: SampleBorrow<Self::X> + Sized { ... }
}
```

## Expand description

Helper trait handling actual uniform sampling.

See the module documentation on how to implement `Uniform`

range
sampling for a custom type.

Implementation of `sample_single`

is optional, and is only useful when
the implementation can be faster than `Self::new(low, high).sample(rng)`

.

## Required Associated Types§

## Required Methods§

Source#### fn new<B1, B2>(low: B1, high: B2) -> Self

#### fn new<B1, B2>(low: B1, high: B2) -> Self

Construct self, with inclusive lower bound and exclusive upper bound
`[low, high)`

.

Usually users should not call this directly but instead use
`Uniform::new`

, which asserts that `low < high`

before calling this.

Source#### fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self

#### fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self

Construct self, with inclusive bounds `[low, high]`

.

Usually users should not call this directly but instead use
`Uniform::new_inclusive`

, which asserts that `low <= high`

before
calling this.

## Provided Methods§

Source#### fn sample_single<R: Rng + ?Sized, B1, B2>(
low: B1,
high: B2,
rng: &mut R,
) -> Self::X

#### fn sample_single<R: Rng + ?Sized, B1, B2>( low: B1, high: B2, rng: &mut R, ) -> Self::X

Sample a single value uniformly from a range with inclusive lower bound
and exclusive upper bound `[low, high)`

.

By default this is implemented using
`UniformSampler::new(low, high).sample(rng)`

. However, for some types
more optimal implementations for single usage may be provided via this
method (which is the case for integers and floats).
Results may not be identical.

Note that to use this method in a generic context, the type needs to be
retrieved via `SampleUniform::Sampler`

as follows:

```
use rand::{thread_rng, distributions::uniform::{SampleUniform, UniformSampler}};
fn sample_from_range<T: SampleUniform>(lb: T, ub: T) -> T {
let mut rng = thread_rng();
<T as SampleUniform>::Sampler::sample_single(lb, ub, &mut rng)
}
```

Source#### fn sample_single_inclusive<R: Rng + ?Sized, B1, B2>(
low: B1,
high: B2,
rng: &mut R,
) -> Self::X

#### fn sample_single_inclusive<R: Rng + ?Sized, B1, B2>( low: B1, high: B2, rng: &mut R, ) -> Self::X

Sample a single value uniformly from a range with inclusive lower bound
and inclusive upper bound `[low, high]`

.

By default this is implemented using
`UniformSampler::new_inclusive(low, high).sample(rng)`

. However, for
some types more optimal implementations for single usage may be provided
via this method.
Results may not be identical.

## Dyn Compatibility§

This trait is **not** dyn compatible.

*In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.*