Struct rand::distributions::uniform::Uniform[][src]

pub struct Uniform<X: SampleUniform> { /* fields omitted */ }

Sample values uniformly between two bounds.

Uniform::new and Uniform::new_inclusive construct a uniform distribution sampling from the given range; these functions may do extra work up front to make sampling of multiple values faster.

When sampling from a constant range, many calculations can happen at compile-time and all methods should be fast; for floating-point ranges and the full range of integer types this should have comparable performance to the Standard distribution.

Steps are taken to avoid bias which might be present in naive implementations; for example rng.gen::<u8>() % 170 samples from the range [0, 169] but is twice as likely to select numbers less than 85 than other values. Further, the implementations here give more weight to the high-bits generated by the RNG than the low bits, since with some RNGs the low-bits are of lower quality than the high bits.

Implementations should attempt to sample in [low, high) for Uniform::new(low, high), i.e., excluding high, but this may be very difficult. All the primitive integer types satisfy this property, and the float types normally satisfy it, but rounding may mean high can occur.

Example

use rand::distributions::{Distribution, Uniform};

fn main() {
    let between = Uniform::from(10..10000);
    let mut rng = rand::thread_rng();
    let mut sum = 0;
    for _ in 0..1000 {
        sum += between.sample(&mut rng);
    }
    println!("{}", sum);
}

Methods

impl<X: SampleUniform> Uniform<X>
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Create a new Uniform instance which samples uniformly from the half open range [low, high) (excluding high). Panics if low >= high.

Create a new Uniform instance which samples uniformly from the closed range [low, high] (inclusive). Panics if low > high.

Trait Implementations

impl<X: Clone + SampleUniform> Clone for Uniform<X> where
    X::Sampler: Clone
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Returns a copy of the value. Read more

Performs copy-assignment from source. Read more

impl<X: Copy + SampleUniform> Copy for Uniform<X> where
    X::Sampler: Copy
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impl<X: Debug + SampleUniform> Debug for Uniform<X> where
    X::Sampler: Debug
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Formats the value using the given formatter. Read more

impl<X: SampleUniform> Distribution<X> for Uniform<X>
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Generate a random value of T, using rng as the source of randomness.

Important traits for DistIter<'a, D, R, T>

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

impl<X: SampleUniform> From<Range<X>> for Uniform<X>
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Performs the conversion.

impl<T: SampleRange> Sample<T> for Range<T>
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Deprecated since 0.5.0

: use Distribution instead

Generate a random value of Support, using rng as the source of randomness. Read more

impl<T: SampleRange> IndependentSample<T> for Range<T>
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Deprecated since 0.5.0

: use Distribution instead

Generate a random value.

Auto Trait Implementations

impl<X> Send for Uniform<X> where
    <X as SampleUniform>::Sampler: Send

impl<X> Sync for Uniform<X> where
    <X as SampleUniform>::Sampler: Sync