[−][src]Struct rv::dist::Bernoulli

pub struct Bernoulli {
    pub p: f64,
}

Bernoulli distribution with success probability p

Example

use rv::prelude::*;

let b = Bernoulli::new(0.75).unwrap();
assert!((b.pmf(&true) - 0.75).abs() < 1E-12);

The following example panics because 2 is out of outside the Bernoulli support

let b = Bernoulli::new(0.75).unwrap();
assert!(!b.supports(&2_u8));

b.pmf(&2_u8); // panics

Fields

p: f64

Probability of a success (x=1)

Methods

`impl Bernoulli`[src]

`pub fn new(p: f64) -> Result<Self>`[src]

`pub fn uniform() -> Self`[src]

A Bernoulli distribution with a 50% chance of success

`pub fn q(&self) -> f64`[src]

The complement of p, i.e. (1 - p).

Trait Implementations

`impl Rv<bool> for Bernoulli`[src]

`fn f(&self, x: &bool) -> f64`[src]

`fn ln_f(&self, x: &bool) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> bool`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<bool>`[src]

`impl Rv<u8> for Bernoulli`[src]

`fn f(&self, x: &u8) -> f64`[src]

`fn ln_f(&self, x: &u8) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> u8`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<u8>`[src]

`impl Rv<u16> for Bernoulli`[src]

`fn f(&self, x: &u16) -> f64`[src]

`fn ln_f(&self, x: &u16) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> u16`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<u16>`[src]

`impl Rv<u32> for Bernoulli`[src]

`fn f(&self, x: &u32) -> f64`[src]

`fn ln_f(&self, x: &u32) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> u32`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<u32>`[src]

`impl Rv<u64> for Bernoulli`[src]

`fn f(&self, x: &u64) -> f64`[src]

`fn ln_f(&self, x: &u64) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> u64`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<u64>`[src]

`impl Rv<usize> for Bernoulli`[src]

`fn f(&self, x: &usize) -> f64`[src]

`fn ln_f(&self, x: &usize) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> usize`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<usize>`[src]

`impl Rv<i8> for Bernoulli`[src]

`fn f(&self, x: &i8) -> f64`[src]

`fn ln_f(&self, x: &i8) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> i8`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<i8>`[src]

`impl Rv<i16> for Bernoulli`[src]

`fn f(&self, x: &i16) -> f64`[src]

`fn ln_f(&self, x: &i16) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> i16`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<i16>`[src]

`impl Rv<i32> for Bernoulli`[src]

`fn f(&self, x: &i32) -> f64`[src]

`fn ln_f(&self, x: &i32) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> i32`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<i32>`[src]

`impl Rv<i64> for Bernoulli`[src]

`fn f(&self, x: &i64) -> f64`[src]

`fn ln_f(&self, x: &i64) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> i64`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<i64>`[src]

`impl Rv<isize> for Bernoulli`[src]

`fn f(&self, x: &isize) -> f64`[src]

`fn ln_f(&self, x: &isize) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> isize`[src]

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<isize>`[src]

`impl Rv<Bernoulli> for Beta`[src]

`fn ln_f(&self, x: &Bernoulli) -> f64`[src]

`fn draw<R: Rng>(&self, rng: &mut R) -> Bernoulli`[src]

`fn f(&self, x: &X) -> f64`[src]

Probability function Read more

`fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<X>`[src]

Multiple draws of the Rv Read more

`impl Support<bool> for Bernoulli`[src]

`fn supports(&self, _x: &bool) -> bool`[src]

`impl Support<u8> for Bernoulli`[src]

`fn supports(&self, x: &u8) -> bool`[src]

`impl Support<u16> for Bernoulli`[src]

`fn supports(&self, x: &u16) -> bool`[src]

`impl Support<u32> for Bernoulli`[src]

`fn supports(&self, x: &u32) -> bool`[src]

`impl Support<u64> for Bernoulli`[src]

`fn supports(&self, x: &u64) -> bool`[src]

`impl Support<usize> for Bernoulli`[src]

`fn supports(&self, x: &usize) -> bool`[src]

`impl Support<i8> for Bernoulli`[src]

`fn supports(&self, x: &i8) -> bool`[src]

`impl Support<i16> for Bernoulli`[src]

`fn supports(&self, x: &i16) -> bool`[src]

`impl Support<i32> for Bernoulli`[src]

`fn supports(&self, x: &i32) -> bool`[src]

`impl Support<i64> for Bernoulli`[src]

`fn supports(&self, x: &i64) -> bool`[src]

`impl Support<isize> for Bernoulli`[src]

`fn supports(&self, x: &isize) -> bool`[src]

`impl Support<Bernoulli> for Beta`[src]

`fn supports(&self, x: &Bernoulli) -> bool`[src]

`impl ContinuousDistr<Bernoulli> for Beta`[src]

`fn pdf(&self, x: &X) -> f64`[src]

The value of the Probability Density Function (PDF) at x Read more

`fn ln_pdf(&self, x: &X) -> f64`[src]

The value of the log Probability Density Function (PDF) at x Read more

`impl Cdf<bool> for Bernoulli`[src]

`fn cdf(&self, x: &bool) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<u8> for Bernoulli`[src]

`fn cdf(&self, x: &u8) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<u16> for Bernoulli`[src]

`fn cdf(&self, x: &u16) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<u32> for Bernoulli`[src]

`fn cdf(&self, x: &u32) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<u64> for Bernoulli`[src]

`fn cdf(&self, x: &u64) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<usize> for Bernoulli`[src]

`fn cdf(&self, x: &usize) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<i8> for Bernoulli`[src]

`fn cdf(&self, x: &i8) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<i16> for Bernoulli`[src]

`fn cdf(&self, x: &i16) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<i32> for Bernoulli`[src]

`fn cdf(&self, x: &i32) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<i64> for Bernoulli`[src]

`fn cdf(&self, x: &i64) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl Cdf<isize> for Bernoulli`[src]

`fn cdf(&self, x: &isize) -> f64`[src]

`fn sf(&self, x: &X) -> f64`[src]

Survival function, 1 - CDF(x)

`impl DiscreteDistr<bool> for Bernoulli`[src]

`fn pmf(&self, x: &bool) -> f64`[src]

`fn ln_pmf(&self, x: &bool) -> f64`[src]

`impl DiscreteDistr<u8> for Bernoulli`[src]

`fn pmf(&self, x: &u8) -> f64`[src]

`fn ln_pmf(&self, x: &u8) -> f64`[src]

`impl DiscreteDistr<u16> for Bernoulli`[src]

`fn pmf(&self, x: &u16) -> f64`[src]

`fn ln_pmf(&self, x: &u16) -> f64`[src]

`impl DiscreteDistr<u32> for Bernoulli`[src]

`fn pmf(&self, x: &u32) -> f64`[src]

`fn ln_pmf(&self, x: &u32) -> f64`[src]

`impl DiscreteDistr<u64> for Bernoulli`[src]

`fn pmf(&self, x: &u64) -> f64`[src]

`fn ln_pmf(&self, x: &u64) -> f64`[src]

`impl DiscreteDistr<usize> for Bernoulli`[src]

`fn pmf(&self, x: &usize) -> f64`[src]

`fn ln_pmf(&self, x: &usize) -> f64`[src]

`impl DiscreteDistr<i8> for Bernoulli`[src]

`fn pmf(&self, x: &i8) -> f64`[src]

`fn ln_pmf(&self, x: &i8) -> f64`[src]

`impl DiscreteDistr<i16> for Bernoulli`[src]

`fn pmf(&self, x: &i16) -> f64`[src]

`fn ln_pmf(&self, x: &i16) -> f64`[src]

`impl DiscreteDistr<i32> for Bernoulli`[src]

`fn pmf(&self, x: &i32) -> f64`[src]

`fn ln_pmf(&self, x: &i32) -> f64`[src]

`impl DiscreteDistr<i64> for Bernoulli`[src]

`fn pmf(&self, x: &i64) -> f64`[src]

`fn ln_pmf(&self, x: &i64) -> f64`[src]

`impl DiscreteDistr<isize> for Bernoulli`[src]

`fn pmf(&self, x: &isize) -> f64`[src]

`fn ln_pmf(&self, x: &isize) -> f64`[src]

`impl Mean<f64> for Bernoulli`[src]

`fn mean(&self) -> Option<f64>`[src]

`impl Median<f64> for Bernoulli`[src]

`fn median(&self) -> Option<f64>`[src]

`impl Mode<bool> for Bernoulli`[src]

`fn mode(&self) -> Option<bool>`[src]

`impl Mode<u8> for Bernoulli`[src]

`fn mode(&self) -> Option<u8>`[src]

`impl Mode<u16> for Bernoulli`[src]

`fn mode(&self) -> Option<u16>`[src]

`impl Mode<u32> for Bernoulli`[src]

`fn mode(&self) -> Option<u32>`[src]

`impl Mode<u64> for Bernoulli`[src]

`fn mode(&self) -> Option<u64>`[src]

`impl Mode<usize> for Bernoulli`[src]

`fn mode(&self) -> Option<usize>`[src]

`impl Mode<i8> for Bernoulli`[src]

`fn mode(&self) -> Option<i8>`[src]

`impl Mode<i16> for Bernoulli`[src]

`fn mode(&self) -> Option<i16>`[src]

`impl Mode<i32> for Bernoulli`[src]

`fn mode(&self) -> Option<i32>`[src]

`impl Mode<i64> for Bernoulli`[src]

`fn mode(&self) -> Option<i64>`[src]

`impl Mode<isize> for Bernoulli`[src]

`fn mode(&self) -> Option<isize>`[src]

`impl Variance<f64> for Bernoulli`[src]

`fn variance(&self) -> Option<f64>`[src]

`impl Entropy for Bernoulli`[src]

`fn entropy(&self) -> f64`[src]

`impl Skewness for Bernoulli`[src]

`fn skewness(&self) -> Option<f64>`[src]

`impl Kurtosis for Bernoulli`[src]

`fn kurtosis(&self) -> Option<f64>`[src]

`impl KlDivergence for Bernoulli`[src]

`fn kl(&self, other: &Self) -> f64`[src]

`fn kl_sym(&self, other: &Self) -> f64`[src]

Symmetrised divergence, KL(P|Q) + KL(Q|P) Read more

`impl HasSuffStat<bool> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<u8> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<u16> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<u32> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<u64> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<usize> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<i8> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<i16> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<i32> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<i64> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl HasSuffStat<isize> for Bernoulli`[src]

`type Stat = BernoulliSuffStat`

`fn empty_suffstat(&self) -> Self::Stat`[src]

`impl ConjugatePrior<bool, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<bool, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<bool, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &bool, x: &DataOrSuffStat<bool, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<u8, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<u8, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<u8, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &u8, x: &DataOrSuffStat<u8, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<u16, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<u16, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<u16, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &u16, x: &DataOrSuffStat<u16, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<u32, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<u32, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<u32, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &u32, x: &DataOrSuffStat<u32, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<u64, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<u64, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<u64, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &u64, x: &DataOrSuffStat<u64, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<usize, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<usize, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<usize, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &usize, x: &DataOrSuffStat<usize, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<i8, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<i8, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<i8, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &i8, x: &DataOrSuffStat<i8, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<i16, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<i16, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<i16, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &i16, x: &DataOrSuffStat<i16, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<i32, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<i32, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<i32, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &i32, x: &DataOrSuffStat<i32, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<i64, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<i64, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<i64, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &i64, x: &DataOrSuffStat<i64, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl ConjugatePrior<isize, Bernoulli> for Beta`[src]

`type Posterior = Self`

`fn posterior(&self, x: &DataOrSuffStat<isize, Bernoulli>) -> Self`[src]

`fn ln_m(&self, x: &DataOrSuffStat<isize, Bernoulli>) -> f64`[src]

`fn ln_pp(&self, y: &isize, x: &DataOrSuffStat<isize, Bernoulli>) -> f64`[src]

`fn m(&self, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Marginal likelihood of x

`fn pp(&self, y: &X, x: &DataOrSuffStat<X, Fx>) -> f64`[src]

Posterior Predictive distribution

`impl PartialOrd<Bernoulli> for Bernoulli`[src]

`fn partial_cmp(&self, other: &Bernoulli) -> Option<Ordering>`[src]

`fn lt(&self, other: &Bernoulli) -> bool`[src]

`fn le(&self, other: &Bernoulli) -> bool`[src]

`fn gt(&self, other: &Bernoulli) -> bool`[src]

`fn ge(&self, other: &Bernoulli) -> bool`[src]

`impl<'_> From<&'_ Bernoulli> for String`[src]

`fn from(b: &Bernoulli) -> String`[src]

`impl PartialEq<Bernoulli> for Bernoulli`[src]

`fn eq(&self, other: &Bernoulli) -> bool`[src]

`fn ne(&self, other: &Bernoulli) -> bool`[src]

`impl Clone for Bernoulli`[src]

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

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

Performs copy-assignment from source. Read more

`impl Default for Bernoulli`[src]

`fn default() -> Self`[src]

`impl Display for Bernoulli`[src]

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

`impl Debug for Bernoulli`[src]

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

Auto Trait Implementations

`impl Send for Bernoulli`

`impl Sync for Bernoulli`

Blanket Implementations

`impl<T> ApiReady for T where T: Clone + Debug + PartialOrd<T> + PartialEq<T>,` [src]

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

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

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

`type Owned = T`

The resulting type after obtaining ownership.

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

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

`impl<T> ToString for T where T: Display + ?Sized,` [src]

`default fn to_string(&self) -> String`[src]

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

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

`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]

`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]

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

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

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

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

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

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

`impl<T> Same<T> for T`

`type Output = T`

Should always be Self

`impl<SS, SP> SupersetOf<SS> for SP where SS: SubsetOf<SP>,`

`fn to_subset(&self) -> Option<SS>`

`fn is_in_subset(&self) -> bool`

`unsafe fn to_subset_unchecked(&self) -> SS`

`fn from_subset(element: &SS) -> SP`