Struct nyx_space::mc::DispersedState
source · [−]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)>,
}
Expand description
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
sourceimpl<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>,
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>,
sourcefn clone(&self) -> DispersedState<S>
fn clone(&self) -> DispersedState<S>
Returns a copy of the value. Read more
1.0.0 · sourcefn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
sourceimpl<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>,
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>,
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> DispersedState<S>
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> DispersedState<S>
Generate a random value of T
, using rng
as the source of randomness.
sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
sourceimpl<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>,
<S::Size as DimMin<S::Size>>::Output: DimSub<Const<1>>,
S::Size: DimSub<Const<1>>,
<S::Size as DimMin<S::Size>>::Output: DimName,
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>,
<S::Size as DimMin<S::Size>>::Output: DimSub<Const<1>>,
S::Size: DimSub<Const<1>>,
<S::Size as DimMin<S::Size>>::Output: DimName,
sourcefn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> DispersedState<S>
fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> DispersedState<S>
Generate a random value of T
, using rng
as the source of randomness.
sourcefn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T> where
R: Rng,
Create an iterator that generates random values of T
, using rng
as
the source of randomness. Read more
Auto Trait Implementations
impl<S> RefUnwindSafe for DispersedState<S> where
S: RefUnwindSafe,
impl<S> Send for DispersedState<S>
impl<S> Sync for DispersedState<S>
impl<S> Unpin for DispersedState<S> where
S: Unpin,
impl<S> UnwindSafe for DispersedState<S> where
S: UnwindSafe,
Blanket Implementations
sourceimpl<T> BorrowMut<T> for T where
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
const: unstable · sourcefn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
impl<T> Pointable for T
impl<T> Pointable for T
impl<T> Same<T> for T
impl<T> Same<T> for T
type Output = T
type Output = T
Should always be Self
impl<SS, SP> SupersetOf<SS> for SP where
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SP where
SS: SubsetOf<SP>,
fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct self
from the equivalent element of its
superset. Read more
fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if self
is actually part of its subset T
(and can be converted to it).
fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as self.to_subset
but without any property checks. Always succeeds.
fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts self
to the equivalent element of its superset.
sourceimpl<T> ToOwned for T where
T: Clone,
impl<T> ToOwned for T where
T: Clone,
type Owned = T
type Owned = T
The resulting type after obtaining ownership.
sourcefn clone_into(&self, target: &mut T)
fn clone_into(&self, target: &mut T)
toowned_clone_into
)Uses borrowed data to replace owned data, usually by cloning. Read more