# Standard in rand::distributions - Rust
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.
Keywords: rust, rustlang, rust-lang, Standard

# Struct rand::distributions::Standard

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    pub struct Standard;

Expand description

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 and float types and tends to be faster for `u32` and smaller types. When using `rustc` ≥ 1.51, enable the `min_const_gen` feature to support arrays larger than 32 elements. Note that `Rng::fill` and `Standard`’s array support are not equivalent: the former is optimised for integer types (using fewer RNG calls for element types smaller than the RNG word size), while the latter supports any element type supported by `Standard`.
- `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` uses 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

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### impl Clone for Standard

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#### fn clone(&self) -> Standard

Returns a copy of the value. Read more

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

Performs copy-assignment from `source`. Read more

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### impl Debug for Standard

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

Formats the value using the given formatter. Read more

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### impl DistString for Standard

Note: the `String` is potentially left with excess capacity; optionally the user may call `string.shrink_to_fit()` afterwards.

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#### fn append_string<R: Rng + ?Sized>(
&self,
rng: &mut R,
s: &mut String,
len: usize
)

Append `len` random chars to `string`

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#### fn sample_string<R: Rng + ?Sized>(&self, rng: &mut R, len: usize) -> String

Generate a `String` of `len` random chars

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

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#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

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#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

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#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

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#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

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#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<()> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### 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>,

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

#### 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.

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

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

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<NonZeroU128> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<NonZeroU16> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<NonZeroU32> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<NonZeroU64> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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### impl Distribution<NonZeroU8> for Standard

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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### impl Distribution<NonZeroUsize> for Standard

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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### impl Distribution<bool> for Standard

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

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### impl Distribution<char> for Standard

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

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

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#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<f32> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<f64> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<i128> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<i16> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<i32> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<i64> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<i8> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<isize> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<u128> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<u16> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<u32> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<u64> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<u8> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Distribution<usize> for Standard

source

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

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

source

#### fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>ⓘNotable 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;` where
R: Rng,
Self: Sized,

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

source

#### fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S> where
F: Fn(T) -> S,
Self: Sized,

Create a distribution of values of ‘S’ by mapping the output of `Self` through the closure `F` Read more

source

### impl Copy for Standard

## Auto Trait Implementations

### impl RefUnwindSafe for Standard

### impl Send for Standard

### impl Sync for Standard

### impl Unpin for Standard

### impl UnwindSafe for Standard

## Blanket Implementations

source

### impl<T> Any for T where
T: 'static + ?Sized,

source

#### fn type_id(&self) -> TypeId

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

source

### impl<T> Borrow<T> for T where
T: ?Sized,

const: unstable · source

#### fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

source

### impl<T> BorrowMut<T> for T where
T: ?Sized,

const: unstable · source

#### fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

source

### impl<T> From<T> for T

const: unstable · source

#### fn from(t: T) -> T

Returns the argument unchanged.

source

### impl<T, U> Into<U> for T where
U: From<T>,

const: unstable · source

#### fn into(self) -> U

Calls `U::from(self)`.

That is, this conversion is whatever the implementation of `From<T> for U` chooses to do.

source

### impl<T> ToOwned for T where
T: Clone,

#### type Owned = T

The resulting type after obtaining ownership.

source

#### fn to_owned(&self) -> T

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

source

#### fn clone_into(&self, target: &mut T)

🔬 This is a nightly-only experimental API. (`toowned_clone_into`)

Uses borrowed data to replace owned data, usually by cloning. Read more

source

### impl<T, U> TryFrom<U> for T where
U: Into<T>,

#### type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

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

Performs the conversion.

source

### impl<T, U> TryInto<U> for T where
U: TryFrom<T>,

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

The type returned in the event of a conversion error.

const: unstable · source

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

Performs the conversion.

source

### impl<V, T> VZip<V> for T where
V: MultiLane<T>,

source

#### fn vzip(self) -> V