opendp::domains

Struct VectorDomain

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pub struct VectorDomain<D: Domain> {
    pub element_domain: D,
    pub size: Option<usize>,
}
Expand description

A Domain that contains vectors of (homogeneous) values.

§Proof Definition

VectorDomain(inner_domain, D, Option<size>) is the domain of all vectors of elements drawn from domain inner_domain. If size is specified, then the domain is further restricted to all vectors of the given size.

§Example

use opendp::domains::{VectorDomain, AtomDomain};
use opendp::core::Domain;

// Represents the domain of vectors.
let vec_domain = VectorDomain::new(AtomDomain::default());
assert!(vec_domain.member(&vec![1, 2, 3])?);

// Represents the domain of all vectors of bounded elements.
let bounded_domain = VectorDomain::new(AtomDomain::new_closed((-10, 10))?);

// vec![0] is a member, but vec![12] is not, because 12 is out of bounds of the inner domain
assert!(bounded_domain.member(&vec![0])?);
assert!(!bounded_domain.member(&vec![12])?);

§Size Example

use opendp::domains::{VectorDomain, AtomDomain};
// Create a domain that includes all i32 vectors of length 3.
let sized_domain = VectorDomain::new(AtomDomain::<i32>::default()).with_size(3);

// vec![1, 2, 3] is a member of the sized_domain
use opendp::core::Domain;
assert!(sized_domain.member(&vec![1, 2, 3])?);

// vec![1, 2] is not a member of the sized_domain
assert!(!sized_domain.member(&vec![1, 2])?);

Fields§

§element_domain: D§size: Option<usize>

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impl<D: Domain> VectorDomain<D>

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pub fn new(element_domain: D) -> Self

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pub fn with_size(self, size: usize) -> Self

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pub fn without_size(self) -> Self

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impl<D: Clone + Domain> Clone for VectorDomain<D>

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fn clone(&self) -> VectorDomain<D>

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<D: Domain> DatasetDomain for VectorDomain<D>

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type ElementDomain = D

The domain of each element in the dataset. Read more
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impl<D: Domain> Debug for VectorDomain<D>

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

Formats the value using the given formatter. Read more
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impl<D: Domain + Default> Default for VectorDomain<D>

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl<D: Domain> Domain for VectorDomain<D>

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type Carrier = Vec<<D as Domain>::Carrier>

The underlying type that the Domain specializes. This is the type of a member of a domain, where a domain is any data type that implements this trait. Read more
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fn member(&self, val: &Self::Carrier) -> Fallible<bool>

Predicate to test an element for membership in the domain. Not all possible values of ::Carrier are a member of the domain. Read more
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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<i128>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<i16>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<i32>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<i64>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<i8>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<isize>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<u128>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<u16>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<u32>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<u64>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<u8>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl<QI: Number> GaussianDomain<ZeroConcentratedDivergence, QI> for VectorDomain<AtomDomain<usize>>
where f64: InfCast<QI>,

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type InputMetric = LpDistance<2, QI>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl GaussianDomain<ZeroConcentratedDivergence, f32> for VectorDomain<AtomDomain<f32>>

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type InputMetric = LpDistance<2, f32>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl GaussianDomain<ZeroConcentratedDivergence, f64> for VectorDomain<AtomDomain<f64>>

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type InputMetric = LpDistance<2, f64>

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fn make_gaussian( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, ZeroConcentratedDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<i128>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<i16>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<i32>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<i64>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<i8>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<isize>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<u128>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<u16>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<u32>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<u64>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<u8>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl GeometricDomain for VectorDomain<AtomDomain<usize>>

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fn make_geometric( input_domain: Self, input_metric: Self::InputMetric, scale: f64, bounds: Option<(<Self::InputMetric as Metric>::Distance, <Self::InputMetric as Metric>::Distance)>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl<D: Domain> IsSizedDomain for VectorDomain<D>

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fn get_size(&self) -> Fallible<usize>

Proof Definition Read more
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impl LaplaceDomain for VectorDomain<AtomDomain<f32>>

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type InputMetric = LpDistance<1, f32>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<f64>>

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type InputMetric = LpDistance<1, f64>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<i128>>

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type InputMetric = LpDistance<1, i128>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<i16>>

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type InputMetric = LpDistance<1, i16>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<i32>>

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type InputMetric = LpDistance<1, i32>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<i64>>

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type InputMetric = LpDistance<1, i64>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<i8>>

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type InputMetric = LpDistance<1, i8>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<isize>>

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type InputMetric = LpDistance<1, isize>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<u128>>

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type InputMetric = LpDistance<1, u128>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<u16>>

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type InputMetric = LpDistance<1, u16>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<u32>>

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type InputMetric = LpDistance<1, u32>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<u64>>

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type InputMetric = LpDistance<1, u64>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<u8>>

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type InputMetric = LpDistance<1, u8>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl LaplaceDomain for VectorDomain<AtomDomain<usize>>

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type InputMetric = LpDistance<1, usize>

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fn make_laplace( input_domain: Self, input_metric: Self::InputMetric, scale: f64, k: Option<i32>, ) -> Fallible<Measurement<Self, Self::Carrier, Self::InputMetric, MaxDivergence>>

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impl<D: PartialEq + Domain> PartialEq for VectorDomain<D>

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fn eq(&self, other: &VectorDomain<D>) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl<DIA: Domain, DOA: Domain> RowByRowDomain<VectorDomain<DOA>> for VectorDomain<DIA>

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fn translate( &self, output_row_domain: <VectorDomain<DOA> as DatasetDomain>::ElementDomain, ) -> VectorDomain<DOA>

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fn apply_rows( value: &Self::Carrier, row_function: &impl Fn(&DIA::Carrier) -> Fallible<DOA::Carrier>, ) -> Fallible<Vec<DOA::Carrier>>

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impl<D: Domain> StructuralPartialEq for VectorDomain<D>

Auto Trait Implementations§

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impl<D> Freeze for VectorDomain<D>
where D: Freeze,

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impl<D> RefUnwindSafe for VectorDomain<D>
where D: RefUnwindSafe,

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impl<D> Send for VectorDomain<D>

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impl<D> Sync for VectorDomain<D>

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impl<D> Unpin for VectorDomain<D>
where D: Unpin,

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impl<D> UnwindSafe for VectorDomain<D>
where D: UnwindSafe,

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

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Gets the TypeId of self. Read more
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where T: ?Sized,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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where Self: Into<T>,

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where Self: Binary,

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where Self: UpperHex,

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Calls U::from(self).

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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fn tap(self, func: impl FnOnce(&Self)) -> Self

Immutable access to a value. Read more
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fn tap_mut(self, func: impl FnOnce(&mut Self)) -> Self

Mutable access to a value. Read more
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fn tap_borrow<B>(self, func: impl FnOnce(&B)) -> Self
where Self: Borrow<B>, B: ?Sized,

Immutable access to the Borrow<B> of a value. Read more
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fn tap_borrow_mut<B>(self, func: impl FnOnce(&mut B)) -> Self
where Self: BorrowMut<B>, B: ?Sized,

Mutable access to the BorrowMut<B> of a value. Read more
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fn tap_ref<R>(self, func: impl FnOnce(&R)) -> Self
where Self: AsRef<R>, R: ?Sized,

Immutable access to the AsRef<R> view of a value. Read more
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fn tap_ref_mut<R>(self, func: impl FnOnce(&mut R)) -> Self
where Self: AsMut<R>, R: ?Sized,

Mutable access to the AsMut<R> view of a value. Read more
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fn tap_deref<T>(self, func: impl FnOnce(&T)) -> Self
where Self: Deref<Target = T>, T: ?Sized,

Immutable access to the Deref::Target of a value. Read more
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fn tap_deref_mut<T>(self, func: impl FnOnce(&mut T)) -> Self
where Self: DerefMut<Target = T> + Deref, T: ?Sized,

Mutable access to the Deref::Target of a value. Read more
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fn tap_dbg(self, func: impl FnOnce(&Self)) -> Self

Calls .tap() only in debug builds, and is erased in release builds.
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fn tap_mut_dbg(self, func: impl FnOnce(&mut Self)) -> Self

Calls .tap_mut() only in debug builds, and is erased in release builds.
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fn tap_borrow_dbg<B>(self, func: impl FnOnce(&B)) -> Self
where Self: Borrow<B>, B: ?Sized,

Calls .tap_borrow() only in debug builds, and is erased in release builds.
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fn tap_borrow_mut_dbg<B>(self, func: impl FnOnce(&mut B)) -> Self
where Self: BorrowMut<B>, B: ?Sized,

Calls .tap_borrow_mut() only in debug builds, and is erased in release builds.
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fn tap_ref_dbg<R>(self, func: impl FnOnce(&R)) -> Self
where Self: AsRef<R>, R: ?Sized,

Calls .tap_ref() only in debug builds, and is erased in release builds.
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fn tap_ref_mut_dbg<R>(self, func: impl FnOnce(&mut R)) -> Self
where Self: AsMut<R>, R: ?Sized,

Calls .tap_ref_mut() only in debug builds, and is erased in release builds.
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fn tap_deref_dbg<T>(self, func: impl FnOnce(&T)) -> Self
where Self: Deref<Target = T>, T: ?Sized,

Calls .tap_deref() only in debug builds, and is erased in release builds.
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fn tap_deref_mut_dbg<T>(self, func: impl FnOnce(&mut T)) -> Self
where Self: DerefMut<Target = T> + Deref, T: ?Sized,

Calls .tap_deref_mut() only in debug builds, and is erased in release builds.
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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T> TryConv for T

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fn try_conv<T>(self) -> Result<T, Self::Error>
where Self: TryInto<T>,

Attempts to convert self into T using TryInto<T>. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V

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impl<T> Ungil for T
where T: Send,