| use rustc_index::Idx; |
| |
| pub mod dominators; |
| pub mod iterate; |
| pub mod linked_graph; |
| mod reference; |
| pub mod reversed; |
| pub mod scc; |
| pub mod vec_graph; |
| |
| #[cfg(test)] |
| mod tests; |
| |
| pub trait DirectedGraph { |
| type Node: Idx; |
| |
| /// Returns the total number of nodes in this graph. |
| /// |
| /// Several graph algorithm implementations assume that every node ID is |
| /// strictly less than the number of nodes, i.e. nodes are densely numbered. |
| /// That assumption allows them to use `num_nodes` to allocate per-node |
| /// data structures, indexed by node. |
| fn num_nodes(&self) -> usize; |
| |
| /// Iterates over all nodes of a graph in ascending numeric order. |
| /// |
| /// Assumes that nodes are densely numbered, i.e. every index in |
| /// `0..num_nodes` is a valid node. |
| fn iter_nodes( |
| &self, |
| ) -> impl Iterator<Item = Self::Node> + DoubleEndedIterator + ExactSizeIterator { |
| (0..self.num_nodes()).map(<Self::Node as Idx>::new) |
| } |
| } |
| |
| pub trait NumEdges: DirectedGraph { |
| fn num_edges(&self) -> usize; |
| } |
| |
| pub trait StartNode: DirectedGraph { |
| fn start_node(&self) -> Self::Node; |
| } |
| |
| pub trait Successors: DirectedGraph { |
| fn successors(&self, node: Self::Node) -> impl Iterator<Item = Self::Node>; |
| } |
| |
| pub trait Predecessors: DirectedGraph { |
| fn predecessors(&self, node: Self::Node) -> impl Iterator<Item = Self::Node>; |
| } |
| |
| /// Alias for [`DirectedGraph`] + [`StartNode`] + [`Predecessors`] + [`Successors`]. |
| pub trait ControlFlowGraph: DirectedGraph + StartNode + Predecessors + Successors {} |
| impl<T> ControlFlowGraph for T where T: DirectedGraph + StartNode + Predecessors + Successors {} |
| |
| /// Returns `true` if the graph has a cycle that is reachable from the start node. |
| pub fn is_cyclic<G>(graph: &G) -> bool |
| where |
| G: ?Sized + DirectedGraph + StartNode + Successors, |
| { |
| iterate::TriColorDepthFirstSearch::new(graph) |
| .run_from_start(&mut iterate::CycleDetector) |
| .is_some() |
| } |
| |
| pub fn depth_first_search<G>(graph: G, from: G::Node) -> iterate::DepthFirstSearch<G> |
| where |
| G: Successors, |
| { |
| iterate::DepthFirstSearch::new(graph).with_start_node(from) |
| } |
| |
| pub fn depth_first_search_as_undirected<G>( |
| graph: G, |
| from: G::Node, |
| ) -> iterate::DepthFirstSearch<impl Successors<Node = G::Node>> |
| where |
| G: Successors + Predecessors, |
| { |
| struct AsUndirected<G>(G); |
| |
| impl<G: DirectedGraph> DirectedGraph for AsUndirected<G> { |
| type Node = G::Node; |
| |
| fn num_nodes(&self) -> usize { |
| self.0.num_nodes() |
| } |
| } |
| |
| impl<G: Successors + Predecessors> Successors for AsUndirected<G> { |
| fn successors(&self, node: Self::Node) -> impl Iterator<Item = Self::Node> { |
| self.0.successors(node).chain(self.0.predecessors(node)) |
| } |
| } |
| |
| iterate::DepthFirstSearch::new(AsUndirected(graph)).with_start_node(from) |
| } |