| 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) | |
| } |