# [−] [src] 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 23 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 Distribution<f32> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f32` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<f64> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> f64` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<u8> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u8` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<u16> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u16` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<u32> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u32` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<u64> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u64` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<u128> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> u128` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<usize> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> usize` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<i8> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i8` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<i16> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i16` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<i32> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i32` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<i64> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i64` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<i128> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> i128` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<isize> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> isize` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<NonZeroU8> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU8` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<NonZeroU16> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU16` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<NonZeroU32> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU32` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<NonZeroU64> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU64` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<NonZeroU128> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroU128` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<NonZeroUsize> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> NonZeroUsize` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<char> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> char` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<bool> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> bool` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Distribution<()> for Standard` [src]

#### `fn sample<R: Rng + ?Sized>(&self, _: &mut R)` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl<A> Distribution<(A,)> for Standard where
Standard: Distribution<A>,` [src]

#### `fn sample<R: Rng + ?Sized>(&self, _rng: &mut R) -> (A,)` [src]

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl<A, B> Distribution<(A, B)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl<A, B, C> Distribution<(A, B, C)> for Standard where
Standard: Distribution<A>,
Standard: Distribution<B>,
Standard: Distribution<C>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `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>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl<T> Distribution<[T; 0]> for Standard` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

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

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl<T> Distribution<Option<T>> for Standard where
Standard: Distribution<T>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl<T> Distribution<Wrapping<T>> for Standard where
Standard: Distribution<T>,` [src]

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

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

####
ⓘImportant traits for DistIter<D, R, T>

### Important traits for DistIter<D, R, T>

`impl<D, R, T> Iterator for DistIter<D, R, T> where
D: Distribution<T>,
R: Rng, type Item = T;`
`fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Self: Sized,` [src]

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

### `impl Clone for Standard` [src]

#### `fn clone(&self) -> Standard` [src]

Returns a copy of the value. Read more

#### `fn clone_from(&mut self, source: &Self)`1.0.0 [src]

Performs copy-assignment from `source`. Read more

### `impl Copy for Standard` [src]

### `impl Debug for Standard` [src]

#### `fn fmt(&self, f: &mut Formatter) -> Result` [src]

Formats the value using the given formatter. Read more

## Auto Trait Implementations

### `impl Send for Standard`

### `impl Sync for Standard`

## Blanket Implementations

### `impl<T> From<T> for T` [src]

#### `fn from(t: T) -> T` [src]

Performs the conversion.

### `impl<T> ToOwned for T where
T: Clone,` [src]

#### `type Owned = T`

The resulting type after obtaining ownership.

#### `fn to_owned(&self) -> T` [src]

Creates owned data from borrowed data, usually by cloning. Read more

#### `fn clone_into(&self, target: &mut T)` [src]

🔬 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> Into<U> for T where
U: From<T>,` [src]

#### `fn into(self) -> U` [src]

Performs the conversion.

### `impl<T, U> TryFrom<U> for T where
U: Into<T>,` [src]

#### `type Error = Infallible`

The type returned in the event of a conversion error.

#### `fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>` [src]

Performs the conversion.

### `impl<T, U> TryInto<U> for T where
U: TryFrom<T>,` [src]

#### `type Error = <U as TryFrom<T>>::Error`

The type returned in the event of a conversion error.

#### `fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>` [src]

Performs the conversion.

### `impl<T> BorrowMut<T> for T where
T: ?Sized,` [src]

#### `fn borrow_mut(&mut self) -> &mut T` [src]

Mutably borrows from an owned value. Read more

### `impl<T> Borrow<T> for T where
T: ?Sized,` [src]

#### `fn borrow(&self) -> &T` [src]

Immutably borrows from an owned value. Read more

### `impl<T> Any for T where
T: 'static + ?Sized,` [src]

#### `fn type_id(&self) -> TypeId` [src]

Gets the `TypeId` of `self`. Read more

### `impl<V, T> VZip<V> for T where
V: MultiLane<T>,` [src]

#### `fn vzip(self) -> V` [src]

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