Wed, 03 Sep 2025 09:52:30 -0500
convexity etc. fubar
/*! This module provides various sets and traits for them. */ use crate::euclidean::Euclidean; use crate::instance::{BasicDecomposition, Instance, Space}; use crate::loc::Loc; use crate::types::*; use serde::Serialize; use std::ops::{Range, RangeFrom, RangeFull, RangeInclusive, RangeTo, RangeToInclusive}; pub mod cube; pub use cube::Cube; /// Trait for arbitrary sets. The parameter `U` is the element type. pub trait Set<U> where U: Space, { /// Check for element containment fn contains<I: Instance<U>>(&self, item: I) -> bool; } /// Additional ordering (besides [`PartialOrd`]) of a subfamily of sets: /// greatest lower bound and least upper bound. pub trait SetOrd: Sized { /// Returns the smallest set of same class contain both parameters. fn common(&self, other: &Self) -> Self; /// Returns the greatest set of same class contaied by n both parameter sets. fn intersect(&self, other: &Self) -> Option<Self>; } impl<U, const N: usize> Set<Loc<N, U>> for Cube<N, U> where U: Num + PartialOrd + Sized, { fn contains<I: Instance<Loc<N, U>>>(&self, item: I) -> bool { item.eval_ref_decompose(|r| self.0.iter().zip(r.iter()).all(|(s, x)| s.contains(x))) } } impl<U: Space> Set<U> for RangeFull { fn contains<I: Instance<U>>(&self, _item: I) -> bool { true } } macro_rules! impl_ranges { ($($range:ident),*) => { $( impl<U,Idx> Set<U> for $range<Idx> where U : Space<Decomp=BasicDecomposition>, U::OwnedSpace : PartialOrd<Idx>, Idx : PartialOrd + PartialOrd<U::OwnedSpace>, { #[inline] fn contains<I : Instance<U>>(&self, item : I) -> bool { item.eval(|x| $range::contains(&self, x)) } } )* } } impl_ranges!(RangeFrom, Range, RangeInclusive, RangeTo, RangeToInclusive); /// Halfspaces described by an orthogonal vector and an offset. /// /// The halfspace is $H = \\{ t v + a \mid a^⊤ v = 0 \\}$, where $v$ is the orthogonal /// vector and $t$ the offset. #[derive(Clone, Copy, Debug, Serialize, Eq, PartialEq)] pub struct Halfspace<A, F> where A: Euclidean<F>, F: Float, { pub orthogonal: A, pub offset: F, } impl<A, F> Halfspace<A, F> where A: Euclidean<F>, F: Float, { #[inline] pub fn new(orthogonal: A, offset: F) -> Self { Halfspace { orthogonal: orthogonal, offset: offset } } } /// Trait for generating a halfspace spanned by another set `Self` of elements of type `U`. pub trait SpannedHalfspace<F> where F: Float, { /// Type of the orthogonal vector describing the halfspace. type A: Euclidean<F>; /// Returns the halfspace spanned by this set. fn spanned_halfspace(&self) -> Halfspace<Self::A, F>; } // TODO: Gram-Schmidt for higher N. impl<F: Float> SpannedHalfspace<F> for [Loc<1, F>; 2] { type A = Loc<1, F>; fn spanned_halfspace(&self) -> Halfspace<Self::A, F> { let (x0, x1) = (self[0], self[1]); Halfspace::new(x1 - x0, x0[0]) } } // TODO: Gram-Schmidt for higher N. impl<F: Float> SpannedHalfspace<F> for [Loc<2, F>; 2] { type A = Loc<2, F>; fn spanned_halfspace(&self) -> Halfspace<Self::A, F> { let (x0, x1) = (&self[0], &self[1]); let d = x1 - x0; let orthog = loc![d[1], -d[0]]; // We don't normalise for efficiency let offset = x0.dot(&orthog); Halfspace::new(orthog, offset) } } impl<A, F> Set<A> for Halfspace<A, F> where A: Euclidean<F>, F: Float, { #[inline] fn contains<I: Instance<A>>(&self, item: I) -> bool { self.orthogonal.dot(item) >= self.offset } } /// Polygons defined by `N` `Halfspace`s. #[derive(Clone, Copy, Debug, Eq, PartialEq)] pub struct NPolygon<A, const N: usize, F = f64>(pub [Halfspace<A, F>; N]) where A: Euclidean<F>, F: Float; impl<A, F, const N: usize> Set<A> for NPolygon<A, N, F> where A: Euclidean<F>, F: Float, { fn contains<I: Instance<A>>(&self, item: I) -> bool { item.eval_ref_decompose(|r| self.0.iter().all(|halfspace| halfspace.contains(r))) } }