Struct nyx_space::mc::DispersedState

pub struct DispersedState<S: State>where
    DefaultAllocator: Allocator<f64, S::Size> + Allocator<f64, S::Size, S::Size> + Allocator<usize, S::Size, S::Size> + Allocator<f64, S::VecLength>,{
    pub state: S,
    pub actual_dispersions: Vec<(StateParameter, f64)>,
}

A dispersed state

Fields

state: S

The dispersed state

actual_dispersions: Vec<(StateParameter, f64)>

The dispersions applied to the template state (template state + self.actual_dispersions = self.state)

Trait Implementations

impl<S: Clone + State> Clone for DispersedState<S>where DefaultAllocator: Allocator<f64, S::Size> + Allocator<f64, S::Size, S::Size> + Allocator<usize, S::Size, S::Size> + Allocator<f64, S::VecLength>,

fn clone(&self) -> DispersedState<S>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<S: State, D: Distribution<f64> + Copy> Distribution<DispersedState<S>> for Generator<S, D>where DefaultAllocator: Allocator<f64, S::Size> + Allocator<f64, S::Size, S::Size> + Allocator<usize, S::Size, S::Size> + Allocator<f64, S::VecLength>,

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

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

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

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

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

impl<S: State> Distribution<DispersedState<S>> for MultivariateNormal<S>where DefaultAllocator: Allocator<f64, S::Size> + Allocator<f64, S::Size, S::Size> + Allocator<usize, S::Size, S::Size> + Allocator<f64, S::VecLength> + Allocator<f64, <S::Size as DimMin<S::Size>>::Output> + Allocator<f64, <<S::Size as DimMin<S::Size>>::Output as DimSub<Const<1>>>::Output> + Allocator<f64, S::Size, <S::Size as DimMin<S::Size>>::Output> + Allocator<f64, <S::Size as DimMin<S::Size>>::Output, S::Size> + Allocator<f64, <S::Size as DimSub<Const<1>>>::Output> + Allocator<f64, S::Size, <S::Size as DimSub<Const<1>>>::Output>, <DefaultAllocator as Allocator<f64, S::VecLength>>::Buffer: Send, S::Size: DimMin<S::Size> + DimSub<Const<1>>, <S::Size as DimMin<S::Size>>::Output: DimSub<Const<1>> + DimName,

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

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

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

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

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