Mon, 12 May 2025 16:28:50 -0500
Add more AXPY super traits
/*! Arithmetic of [`Mapping`]s. */ use crate::instance::{Instance, Space}; use crate::mapping::{DifferentiableImpl, DifferentiableMapping, Mapping}; use crate::types::*; use serde::Serialize; /// A trait for encoding constant [`Float`] values pub trait Constant: Copy + Sync + Send + 'static + std::fmt::Debug + Into<Self::Type> { /// The type of the value type Type: Float; /// Returns the value of the constant fn value(&self) -> Self::Type; } impl<F: Float> Constant for F { type Type = F; #[inline] fn value(&self) -> F { *self } } /// Weighting of a [`Mapping`] by scalar multiplication. #[derive(Copy, Clone, Debug, Serialize)] pub struct Weighted<T, C: Constant> { /// The weight pub weight: C, /// The base [`Mapping`] being weighted. pub base_fn: T, } impl<T, C> Weighted<T, C> where C: Constant, { /// Construct from an iterator. pub fn new(weight: C, base_fn: T) -> Self { Weighted { weight, base_fn } } } impl<'a, T, V, D, F, C> Mapping<D> for Weighted<T, C> where F: Float, D: Space, T: Mapping<D, Codomain = V>, V: Space + ClosedMul<F>, C: Constant<Type = F>, { type Codomain = V; #[inline] fn apply<I: Instance<D>>(&self, x: I) -> Self::Codomain { self.base_fn.apply(x) * self.weight.value() } } impl<'a, T, V, D, F, C> DifferentiableImpl<D> for Weighted<T, C> where F: Float, D: Space, T: DifferentiableMapping<D, DerivativeDomain = V>, V: Space + std::ops::Mul<F, Output = V>, C: Constant<Type = F>, { type Derivative = V; #[inline] fn differential_impl<I: Instance<D>>(&self, x: I) -> Self::Derivative { self.base_fn.differential(x) * self.weight.value() } } /// A sum of [`Mapping`]s. #[derive(Serialize, Debug, Clone)] pub struct MappingSum<M>(Vec<M>); impl<M> MappingSum<M> { /// Construct from an iterator. pub fn new<I: IntoIterator<Item = M>>(iter: I) -> Self { MappingSum(iter.into_iter().collect()) } /// Iterate over the component functions of the sum pub fn iter(&self) -> std::slice::Iter<'_, M> { self.0.iter() } } impl<Domain, M> Mapping<Domain> for MappingSum<M> where Domain: Space + Clone, M: Mapping<Domain>, M::Codomain: std::iter::Sum + Clone, { type Codomain = M::Codomain; fn apply<I: Instance<Domain>>(&self, x: I) -> Self::Codomain { let xr = x.ref_instance(); self.0.iter().map(|c| c.apply(xr)).sum() } } impl<Domain, M> DifferentiableImpl<Domain> for MappingSum<M> where Domain: Space, M: DifferentiableMapping<Domain>, M::DerivativeDomain: std::iter::Sum, { type Derivative = M::DerivativeDomain; fn differential_impl<I: Instance<Domain>>(&self, x: I) -> Self::Derivative { let xr = x.ref_instance(); self.0.iter().map(|c| c.differential(xr)).sum() } }