# [−][src]Struct rand::distributions::Bernoulli

`pub struct Bernoulli { /* fields omitted */ }`

The Bernoulli distribution.

This is a special case of the Binomial distribution where `n = 1`.

# Example

```use rand::distributions::{Bernoulli, Distribution};

let d = Bernoulli::new(0.3).unwrap();
println!("{} is from a Bernoulli distribution", v);```

# Precision

This `Bernoulli` distribution uses 64 bits from the RNG (a `u64`), so only probabilities that are multiples of 2-64 can be represented.

## Methods

### `impl Bernoulli`[src]

#### `pub fn new(p: f64) -> Result<Bernoulli, BernoulliError>`[src]

Construct a new `Bernoulli` with the given probability of success `p`.

# Precision

For `p = 1.0`, the resulting distribution will always generate true. For `p = 0.0`, the resulting distribution will always generate false.

This method is accurate for any input `p` in the range `[0, 1]` which is a multiple of 2-64. (Note that not all multiples of 2-64 in `[0, 1]` can be represented as a `f64`.)

#### `pub fn from_ratio(    numerator: u32,     denominator: u32) -> Result<Bernoulli, BernoulliError>`[src]

Construct a new `Bernoulli` with the probability of success of `numerator`-in-`denominator`. I.e. `new_ratio(2, 3)` will return a `Bernoulli` with a 2-in-3 chance, or about 67%, of returning `true`.

If `numerator == denominator` then the returned `Bernoulli` will always return `true`. If `numerator == 0` it will always return `false`.

## Trait Implementations

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

#### ⓘ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 Bernoulli`[src]

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

Performs copy-assignment from `source`. Read more

## Blanket Implementations

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

#### `type Owned = T`

The resulting type after obtaining ownership.

### `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.

### `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.