[][src]Trait rand::distributions::uniform::UniformSampler

pub trait UniformSampler: Sized {
    type X;
    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; 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
, { ... } }

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).

Associated Types

type X

The type sampled by this implementation.

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Required methods

fn new<B1, B2>(low: B1, high: B2) -> Self where
    B1: SampleBorrow<Self::X> + Sized,
    B2: SampleBorrow<Self::X> + Sized

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.

fn new_inclusive<B1, B2>(low: B1, high: B2) -> Self where
    B1: SampleBorrow<Self::X> + Sized,
    B2: SampleBorrow<Self::X> + Sized

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.

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

Sample a value.

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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

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.

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Implementors

impl UniformSampler for UniformDuration[src]

type X = Duration

impl UniformSampler for UniformFloat<f32>[src]

type X = f32

impl UniformSampler for UniformFloat<f64>[src]

type X = f64

impl UniformSampler for UniformInt<i128>[src]

type X = i128

impl UniformSampler for UniformInt<i16>[src]

type X = i16

impl UniformSampler for UniformInt<i32>[src]

type X = i32

impl UniformSampler for UniformInt<i64>[src]

type X = i64

impl UniformSampler for UniformInt<i8>[src]

type X = i8

impl UniformSampler for UniformInt<isize>[src]

type X = isize

impl UniformSampler for UniformInt<u128>[src]

type X = u128

impl UniformSampler for UniformInt<u16>[src]

type X = u16

impl UniformSampler for UniformInt<u32>[src]

type X = u32

impl UniformSampler for UniformInt<u64>[src]

type X = u64

impl UniformSampler for UniformInt<u8>[src]

type X = u8

impl UniformSampler for UniformInt<usize>[src]

type X = usize

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