| use rustc_data_structures::graph; | |
| use rustc_index::IndexVec; | |
| use rustc_middle::mir::ConstraintCategory; | |
| use rustc_middle::ty::{RegionVid, VarianceDiagInfo}; | |
| use rustc_span::DUMMY_SP; | |
| use crate::constraints::{OutlivesConstraint, OutlivesConstraintIndex, OutlivesConstraintSet}; | |
| use crate::type_check::Locations; | |
| /// The construct graph organizes the constraints by their end-points. | |
| /// It can be used to view a `R1: R2` constraint as either an edge `R1 | |
| /// -> R2` or `R2 -> R1` depending on the direction type `D`. | |
| pub(crate) struct ConstraintGraph<D: ConstraintGraphDirection> { | |
| _direction: D, | |
| first_constraints: IndexVec<RegionVid, Option<OutlivesConstraintIndex>>, | |
| next_constraints: IndexVec<OutlivesConstraintIndex, Option<OutlivesConstraintIndex>>, | |
| } | |
| pub(crate) type NormalConstraintGraph = ConstraintGraph<Normal>; | |
| pub(crate) type ReverseConstraintGraph = ConstraintGraph<Reverse>; | |
| /// Marker trait that controls whether a `R1: R2` constraint | |
| /// represents an edge `R1 -> R2` or `R2 -> R1`. | |
| pub(crate) trait ConstraintGraphDirection: Copy + 'static { | |
| fn start_region(c: &OutlivesConstraint<'_>) -> RegionVid; | |
| fn end_region(c: &OutlivesConstraint<'_>) -> RegionVid; | |
| fn is_normal() -> bool; | |
| } | |
| /// In normal mode, a `R1: R2` constraint results in an edge `R1 -> | |
| /// R2`. This is what we use when constructing the SCCs for | |
| /// inference. This is because we compute the value of R1 by union'ing | |
| /// all the things that it relies on. | |
| #[derive(Copy, Clone, Debug)] | |
| pub(crate) struct Normal; | |
| impl ConstraintGraphDirection for Normal { | |
| fn start_region(c: &OutlivesConstraint<'_>) -> RegionVid { | |
| c.sup | |
| } | |
| fn end_region(c: &OutlivesConstraint<'_>) -> RegionVid { | |
| c.sub | |
| } | |
| fn is_normal() -> bool { | |
| true | |
| } | |
| } | |
| /// In reverse mode, a `R1: R2` constraint results in an edge `R2 -> | |
| /// R1`. We use this for optimizing liveness computation, because then | |
| /// we wish to iterate from a region (e.g., R2) to all the regions | |
| /// that will outlive it (e.g., R1). | |
| #[derive(Copy, Clone, Debug)] | |
| pub(crate) struct Reverse; | |
| impl ConstraintGraphDirection for Reverse { | |
| fn start_region(c: &OutlivesConstraint<'_>) -> RegionVid { | |
| c.sub | |
| } | |
| fn end_region(c: &OutlivesConstraint<'_>) -> RegionVid { | |
| c.sup | |
| } | |
| fn is_normal() -> bool { | |
| false | |
| } | |
| } | |
| impl<D: ConstraintGraphDirection> ConstraintGraph<D> { | |
| /// Creates a "dependency graph" where each region constraint `R1: | |
| /// R2` is treated as an edge `R1 -> R2`. We use this graph to | |
| /// construct SCCs for region inference but also for error | |
| /// reporting. | |
| pub(crate) fn new( | |
| direction: D, | |
| set: &OutlivesConstraintSet<'_>, | |
| num_region_vars: usize, | |
| ) -> Self { | |
| let mut first_constraints = IndexVec::from_elem_n(None, num_region_vars); | |
| let mut next_constraints = IndexVec::from_elem(None, &set.outlives); | |
| for (idx, constraint) in set.outlives.iter_enumerated().rev() { | |
| let head = &mut first_constraints[D::start_region(constraint)]; | |
| let next = &mut next_constraints[idx]; | |
| debug_assert!(next.is_none()); | |
| *next = *head; | |
| *head = Some(idx); | |
| } | |
| Self { _direction: direction, first_constraints, next_constraints } | |
| } | |
| /// Given the constraint set from which this graph was built | |
| /// creates a region graph so that you can iterate over *regions* | |
| /// and not constraints. | |
| pub(crate) fn region_graph<'a, 'tcx>( | |
| &'a self, | |
| set: &'a OutlivesConstraintSet<'tcx>, | |
| static_region: RegionVid, | |
| ) -> RegionGraph<'a, 'tcx, D> { | |
| RegionGraph::new(set, self, static_region) | |
| } | |
| /// Given a region `R`, iterate over all constraints `R: R1`. | |
| pub(crate) fn outgoing_edges<'a, 'tcx>( | |
| &'a self, | |
| region_sup: RegionVid, | |
| constraints: &'a OutlivesConstraintSet<'tcx>, | |
| static_region: RegionVid, | |
| ) -> Edges<'a, 'tcx, D> { | |
| //if this is the `'static` region and the graph's direction is normal, | |
| //then setup the Edges iterator to return all regions #53178 | |
| if region_sup == static_region && D::is_normal() { | |
| Edges { | |
| graph: self, | |
| constraints, | |
| pointer: None, | |
| next_static_idx: Some(0), | |
| static_region, | |
| } | |
| } else { | |
| //otherwise, just setup the iterator as normal | |
| let first = self.first_constraints[region_sup]; | |
| Edges { graph: self, constraints, pointer: first, next_static_idx: None, static_region } | |
| } | |
| } | |
| } | |
| pub(crate) struct Edges<'a, 'tcx, D: ConstraintGraphDirection> { | |
| graph: &'a ConstraintGraph<D>, | |
| constraints: &'a OutlivesConstraintSet<'tcx>, | |
| pointer: Option<OutlivesConstraintIndex>, | |
| next_static_idx: Option<usize>, | |
| static_region: RegionVid, | |
| } | |
| impl<'a, 'tcx, D: ConstraintGraphDirection> Iterator for Edges<'a, 'tcx, D> { | |
| type Item = OutlivesConstraint<'tcx>; | |
| fn next(&mut self) -> Option<Self::Item> { | |
| if let Some(p) = self.pointer { | |
| self.pointer = self.graph.next_constraints[p]; | |
| Some(self.constraints[p]) | |
| } else if let Some(next_static_idx) = self.next_static_idx { | |
| self.next_static_idx = if next_static_idx == (self.graph.first_constraints.len() - 1) { | |
| None | |
| } else { | |
| Some(next_static_idx + 1) | |
| }; | |
| Some(OutlivesConstraint { | |
| sup: self.static_region, | |
| sub: next_static_idx.into(), | |
| locations: Locations::All(DUMMY_SP), | |
| span: DUMMY_SP, | |
| category: ConstraintCategory::Internal, | |
| variance_info: VarianceDiagInfo::default(), | |
| from_closure: false, | |
| }) | |
| } else { | |
| None | |
| } | |
| } | |
| } | |
| /// This struct brings together a constraint set and a (normal, not | |
| /// reverse) constraint graph. It implements the graph traits and is | |
| /// usd for doing the SCC computation. | |
| pub(crate) struct RegionGraph<'a, 'tcx, D: ConstraintGraphDirection> { | |
| set: &'a OutlivesConstraintSet<'tcx>, | |
| constraint_graph: &'a ConstraintGraph<D>, | |
| static_region: RegionVid, | |
| } | |
| impl<'a, 'tcx, D: ConstraintGraphDirection> RegionGraph<'a, 'tcx, D> { | |
| /// Creates a "dependency graph" where each region constraint `R1: | |
| /// R2` is treated as an edge `R1 -> R2`. We use this graph to | |
| /// construct SCCs for region inference but also for error | |
| /// reporting. | |
| pub(crate) fn new( | |
| set: &'a OutlivesConstraintSet<'tcx>, | |
| constraint_graph: &'a ConstraintGraph<D>, | |
| static_region: RegionVid, | |
| ) -> Self { | |
| Self { set, constraint_graph, static_region } | |
| } | |
| /// Given a region `R`, iterate over all regions `R1` such that | |
| /// there exists a constraint `R: R1`. | |
| pub(crate) fn outgoing_regions(&self, region_sup: RegionVid) -> Successors<'a, 'tcx, D> { | |
| Successors { | |
| edges: self.constraint_graph.outgoing_edges(region_sup, self.set, self.static_region), | |
| } | |
| } | |
| } | |
| pub(crate) struct Successors<'a, 'tcx, D: ConstraintGraphDirection> { | |
| edges: Edges<'a, 'tcx, D>, | |
| } | |
| impl<'a, 'tcx, D: ConstraintGraphDirection> Iterator for Successors<'a, 'tcx, D> { | |
| type Item = RegionVid; | |
| fn next(&mut self) -> Option<Self::Item> { | |
| self.edges.next().map(|c| D::end_region(&c)) | |
| } | |
| } | |
| impl<'a, 'tcx, D: ConstraintGraphDirection> graph::DirectedGraph for RegionGraph<'a, 'tcx, D> { | |
| type Node = RegionVid; | |
| fn num_nodes(&self) -> usize { | |
| self.constraint_graph.first_constraints.len() | |
| } | |
| } | |
| impl<'a, 'tcx, D: ConstraintGraphDirection> graph::Successors for RegionGraph<'a, 'tcx, D> { | |
| fn successors(&self, node: Self::Node) -> impl Iterator<Item = Self::Node> { | |
| self.outgoing_regions(node) | |
| } | |
| } |