//! Traits used to represent [lattices] for use as the domain of a dataflow analysis. //! //! # Overview //! //! The most common lattice is a powerset of some set `S`, ordered by [set inclusion]. The [Hasse //! diagram] for the powerset of a set with two elements (`X` and `Y`) is shown below. Note that //! distinct elements at the same height in a Hasse diagram (e.g. `{X}` and `{Y}`) are //! *incomparable*, not equal. //! //! ```text //! {X, Y} <- top //! / \ //! {X} {Y} //! \ / //! {} <- bottom //! //! ``` //! //! The defining characteristic of a lattice—the one that differentiates it from a [partially //! ordered set][poset]—is the existence of a *unique* least upper and greatest lower bound for //! every pair of elements. The lattice join operator (`∨`) returns the least upper bound, and the //! lattice meet operator (`∧`) returns the greatest lower bound. Types that implement one operator //! but not the other are known as semilattices. Dataflow analysis only uses the join operator and //! will work with any join-semilattice, but both should be specified when possible. //! //! ## `PartialOrd` //! //! Given that it represents a partially ordered set, you may be surprised that [`JoinSemiLattice`] //! does not have [`PartialOrd`] as a supertrait. This //! is because most standard library types use lexicographic ordering instead of set inclusion for //! their `PartialOrd` impl. Since we do not actually need to compare lattice elements to run a //! dataflow analysis, there's no need for a newtype wrapper with a custom `PartialOrd` impl. The //! only benefit would be the ability to check that the least upper (or greatest lower) bound //! returned by the lattice join (or meet) operator was in fact greater (or lower) than the inputs. //! //! [lattices]: https://en.wikipedia.org/wiki/Lattice_(order) //! [set inclusion]: https://en.wikipedia.org/wiki/Subset //! [Hasse diagram]: https://en.wikipedia.org/wiki/Hasse_diagram //! [poset]: https://en.wikipedia.org/wiki/Partially_ordered_set use rustc_index::Idx; use rustc_index::bit_set::{DenseBitSet, MixedBitSet}; use crate::framework::BitSetExt; /// A [partially ordered set][poset] that has a [least upper bound][lub] for any pair of elements /// in the set. /// /// [lub]: https://en.wikipedia.org/wiki/Infimum_and_supremum /// [poset]: https://en.wikipedia.org/wiki/Partially_ordered_set pub trait JoinSemiLattice: Eq { /// Computes the least upper bound of two elements, storing the result in `self` and returning /// `true` if `self` has changed. /// /// The lattice join operator is abbreviated as `∨`. fn join(&mut self, other: &Self) -> bool; } /// A set that has a "bottom" element, which is less than or equal to any other element. pub trait HasBottom { const BOTTOM: Self; fn is_bottom(&self) -> bool; } /// A set that has a "top" element, which is greater than or equal to any other element. pub trait HasTop { const TOP: Self; } /// A `DenseBitSet` represents the lattice formed by the powerset of all possible values of the /// index type `T` ordered by inclusion. Equivalently, it is a tuple of "two-point" lattices, one /// for each possible value of `T`. impl JoinSemiLattice for DenseBitSet { fn join(&mut self, other: &Self) -> bool { self.union(other) } } impl JoinSemiLattice for MixedBitSet { fn join(&mut self, other: &Self) -> bool { self.union(other) } } /// Extends a type `T` with top and bottom elements to make it a partially ordered set in which no /// value of `T` is comparable with any other. /// /// A flat set has the following [Hasse diagram]: /// /// ```text /// top /// / ... / / \ \ ... \ /// all possible values of `T` /// \ ... \ \ / / ... / /// bottom /// ``` /// /// [Hasse diagram]: https://en.wikipedia.org/wiki/Hasse_diagram #[derive(Clone, Copy, Debug, PartialEq, Eq)] pub enum FlatSet { Bottom, Elem(T), Top, } impl JoinSemiLattice for FlatSet { fn join(&mut self, other: &Self) -> bool { let result = match (&*self, other) { (Self::Top, _) | (_, Self::Bottom) => return false, (Self::Elem(a), Self::Elem(b)) if a == b => return false, (Self::Bottom, Self::Elem(x)) => Self::Elem(x.clone()), _ => Self::Top, }; *self = result; true } } impl HasBottom for FlatSet { const BOTTOM: Self = Self::Bottom; fn is_bottom(&self) -> bool { matches!(self, Self::Bottom) } } impl HasTop for FlatSet { const TOP: Self = Self::Top; } /// Extend a lattice with a bottom value to represent an unreachable execution. /// /// The only useful action on an unreachable state is joining it with a reachable one to make it /// reachable. All other actions, gen/kill for instance, are no-ops. #[derive(PartialEq, Eq, Debug)] pub enum MaybeReachable { Unreachable, Reachable(T), } impl MaybeReachable { pub fn is_reachable(&self) -> bool { matches!(self, MaybeReachable::Reachable(_)) } } impl MaybeReachable { /// Return whether the current state contains the given element. If the state is unreachable, /// it does no contain anything. pub fn contains(&self, elem: T) -> bool where S: BitSetExt, { match self { MaybeReachable::Unreachable => false, MaybeReachable::Reachable(set) => set.contains(elem), } } } impl> BitSetExt for MaybeReachable { fn contains(&self, elem: T) -> bool { self.contains(elem) } } impl Clone for MaybeReachable { fn clone(&self) -> Self { match self { MaybeReachable::Reachable(x) => MaybeReachable::Reachable(x.clone()), MaybeReachable::Unreachable => MaybeReachable::Unreachable, } } fn clone_from(&mut self, source: &Self) { match (&mut *self, source) { (MaybeReachable::Reachable(x), MaybeReachable::Reachable(y)) => { x.clone_from(y); } _ => *self = source.clone(), } } } impl JoinSemiLattice for MaybeReachable { fn join(&mut self, other: &Self) -> bool { // Unreachable acts as a bottom. match (&mut *self, &other) { (_, MaybeReachable::Unreachable) => false, (MaybeReachable::Unreachable, _) => { *self = other.clone(); true } (MaybeReachable::Reachable(this), MaybeReachable::Reachable(other)) => this.join(other), } } }