Struct rand::distributions::Standard

pub struct Standard;

A generic random value distribution, implemented for many primitive types. Usually generates values with a numerically uniform distribution, and with a range appropriate to the type.

Provided implementations

Assuming the provided Rng is well-behaved, these implementations generate values with the following ranges and distributions:

• Integers (i32, u32, isize, usize, etc.): Uniformly distributed over all values of the type.
• char: Uniformly distributed over all Unicode scalar values, i.e. all code points in the range 0...0x10_FFFF, except for the range 0xD800...0xDFFF (the surrogate code points). This includes unassigned/reserved code points.
• bool: Generates false or true, each with probability 0.5.
• Floating point types (f32 and f64): Uniformly distributed in the half-open range [0, 1). See notes below.
• Wrapping integers (Wrapping<T>), besides the type identical to their normal integer variants.

The Standard distribution also supports generation of the following compound types where all component types are supported:

• Tuples (up to 12 elements): each element is generated sequentially.
• Arrays (up to 32 elements): each element is generated sequentially; see also Rng::fill which supports arbitrary array length for integer types and tends to be faster for u32 and smaller types.
• Option<T> first generates a bool, and if true generates and returns Some(value) where value: T, otherwise returning None.

Custom implementations

The Standard distribution may be implemented for user types as follows:

use rand::Rng;
use rand::distributions::{Distribution, Standard};

struct MyF32 {
    x: f32,
}

impl Distribution<MyF32> for Standard {
    fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> MyF32 {
        MyF32 { x: rng.gen() }
    }
}

Example usage

use rand::prelude::*;
use rand::distributions::Standard;

let val: f32 = StdRng::from_entropy().sample(Standard);
println!("f32 from [0, 1): {}", val);

Floating point implementation

The floating point implementations for Standard generate a random value in the half-open interval [0, 1), i.e. including 0 but not 1.

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: (rng.gen::<$uty>() >> N) as $ty * (ε/2).

See also: Open01 which samples from (0, 1), OpenClosed01 which samples from (0, 1] and Rng::gen_range(0, 1) which also samples from [0, 1). Note that Open01 and gen_range (which uses Uniform) use transmute-based methods which yield 1 bit less precision but may perform faster on some architectures (on modern Intel CPUs all methods have approximately equal performance).

Trait Implementations

impl Clone for Standard

fn clone(&self) -> Standard

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Standard

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T> Distribution<[T; 0]> for Standard

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 0]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 1]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 1]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 10]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 10]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 11]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 11]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 12]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 12]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 13]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 13]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 14]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 14]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 15]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 15]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 16]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 16]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 17]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 17]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 18]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 18]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 19]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 19]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 2]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 2]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 20]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 20]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 21]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 21]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 22]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 22]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 23]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 23]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 24]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 24]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 25]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 25]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 26]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 26]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 27]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 27]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 28]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 28]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 29]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 29]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 3]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 3]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 30]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 30]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 31]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 31]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 32]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 32]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 4]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 4]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 5]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 5]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 6]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 6]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 7]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 7]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 8]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 8]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<[T; 9]> for Standard where
    Standard: Distribution<T>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> [T; 9]

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<()> for Standard

fn sample<R: Rng + ?Sized>(&self, _: &mut R)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F, G, H, I, J, K, L> Distribution<(A, B, C, D, E, F, G, H, I, J, K, L)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>,
    Standard: Distribution<G>,
    Standard: Distribution<H>,
    Standard: Distribution<I>,
    Standard: Distribution<J>,
    Standard: Distribution<K>,
    Standard: Distribution<L>, 

fn sample<R: Rng + ?Sized>(
    &self,
    _rng: &mut R
) -> (A, B, C, D, E, F, G, H, I, J, K, L)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F, G, H, I, J, K> Distribution<(A, B, C, D, E, F, G, H, I, J, K)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>,
    Standard: Distribution<G>,
    Standard: Distribution<H>,
    Standard: Distribution<I>,
    Standard: Distribution<J>,
    Standard: Distribution<K>, 

fn sample<R: Rng + ?Sized>(
    &self,
    _rng: &mut R
) -> (A, B, C, D, E, F, G, H, I, J, K)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F, G, H, I, J> Distribution<(A, B, C, D, E, F, G, H, I, J)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>,
    Standard: Distribution<G>,
    Standard: Distribution<H>,
    Standard: Distribution<I>,
    Standard: Distribution<J>, 

fn sample<R: Rng + ?Sized>(
    &self,
    _rng: &mut R
) -> (A, B, C, D, E, F, G, H, I, J)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F, G, H, I> Distribution<(A, B, C, D, E, F, G, H, I)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>,
    Standard: Distribution<G>,
    Standard: Distribution<H>,
    Standard: Distribution<I>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C, D, E, F, G, H, I)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F, G, H> Distribution<(A, B, C, D, E, F, G, H)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>,
    Standard: Distribution<G>,
    Standard: Distribution<H>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C, D, E, F, G, H)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F, G> Distribution<(A, B, C, D, E, F, G)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>,
    Standard: Distribution<G>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C, D, E, F, G)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E, F> Distribution<(A, B, C, D, E, F)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>,
    Standard: Distribution<F>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C, D, E, F)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D, E> Distribution<(A, B, C, D, E)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>,
    Standard: Distribution<E>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C, D, E)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C, D> Distribution<(A, B, C, D)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>,
    Standard: Distribution<D>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C, D)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B, C> Distribution<(A, B, C)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>,
    Standard: Distribution<C>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B, C)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A, B> Distribution<(A, B)> for Standard where
    Standard: Distribution<A>,
    Standard: Distribution<B>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A, B)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<A> Distribution<(A,)> for Standard where
    Standard: Distribution<A>, 

fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A,)

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<NonZeroU128> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU128

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<NonZeroU16> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU16

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<NonZeroU32> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU32

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<NonZeroU64> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU64

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<NonZeroU8> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU8

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<NonZeroUsize> for Standard

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<Option<T>> for Standard where
    Standard: Distribution<T>, 

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl<T> Distribution<Wrapping<T>> for Standard where
    Standard: Distribution<T>, 

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<bool> for Standard

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<char> for Standard

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<f32> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f32

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<f64> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<i128> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i128

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<i16> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i16

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<i32> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i32

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<i64> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i64

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<i8> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i8

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<isize> for Standard

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<u128> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u128

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<u16> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u16

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<u32> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u32

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<u64> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u64

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<u8> for Standard

fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u8

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Distribution<usize> for Standard

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

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
    R: Rng,
    Self: Sized, 

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

impl Copy for Standard