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# grapherity
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Library for graph models and algorithms.
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Graph models and algorithms.
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This library is still experimental and its API may therefore change frequently.
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This crate provides data structures to model graphs and to perform algorithms on these data structures. The functionality presented is designed to be easy to use, flexible, and performant.
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Currently supported are:
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* Undirected graph types `Graph` and `AppendGraph`, built on a flat, index-based adjacency list,
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* Maps to freely associate custom data with vertices and edges,
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* Connectivity and pathing algorithms: Dijkstra's algorithm, DFS, and BFS in different variants,
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* Exposed traits to implement custom graph data structures or algorithms.
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For more information, see the [documentation](https://docs.rs/grapherity/latest/grapherity/).
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## Example
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```
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// Brings commonly used traits into scope.
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use grapherity::prelude::*;
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use grapherity::models::Graph;
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use grapherity::algorithms;
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let mut graph = Graph::new();
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// Creates a map for edge weights with a default weight.
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let mut weights = graph.edge_map(1);
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// Adds three vertices and two edges.
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let v1 = graph.add_vertex();
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let v2 = graph.add_vertex();
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let v3 = graph.add_vertex();
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graph.add_edge(v1, v2);
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let e = graph.add_edge(v2, v3);
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// Sets a non-default weight for the second edge.
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weights[e] = 5;
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// Checks the number of vertices.
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assert_eq!(graph.vertex_count(), 3);
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// Checks the number of edges.
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assert_eq!(graph.edge_count(), 2);
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// Checks that v1 and v2 are adjacent.
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assert!(graph.are_adjacent(v1, v2));
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// Checks that v1 and v3 are not adjacent.
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assert!(!graph.are_adjacent(v1, v3));
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// Checks the sum of all vertex degrees.
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let sum: usize = graph.vertices().map(|v| graph.degree(v)).sum();
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assert_eq!(sum, 1 + 2 + 1);
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// Calls Dijkstra's algorithm using the edge weights to find the shortest path from v1 to v3.
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let result = algorithms::dijkstra(&graph, v1, |e| weights[e]);
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assert_eq!(result.distances[v3], Some(1 + 5));
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assert_eq!(result.predecessors[v3], Some(v2));
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// Deletes the middle vertex and its incident edges.
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graph.delete_vertex(v2);
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// Calls Dijkstra's algorithm again on the now disconnected graph.
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let result = algorithms::dijkstra(&graph, v1, |e| weights[e]);
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assert_eq!(result.distances[v3], None);
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assert_eq!(result.predecessors[v3], None);
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```
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## License
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+131
@@ -1,3 +1,134 @@
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//! Graph models and algorithms.
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//!
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//! This crate provides data structures to model graphs and to perform algorithms on these data
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//! structures. The functionality presented is designed to be easy to use, flexible, and performant.
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//!
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//! Currently supported are:
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//!
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//! * Undirected graph types [`Graph`] and [`AppendGraph`] built on a flat, index-based adjacency
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//! list,
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//! * [`VertexMap`] and [`EdgeMap`] to freely associate custom data with vertices and edges,
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//! * Connectivity and pathing algorithms: [Dijkstra's algorithm], [DFS], and [BFS] in different
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//! variants,
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//! * Exposed traits to implement custom graph data structures or algorithms.
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//!
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//! # Usage example
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//!
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//! This example demonstrates some of this library's features.
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//!
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//! ```
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//! // Brings commonly used traits into scope.
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//! use grapherity::prelude::*;
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//! use grapherity::models::Graph;
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//! use grapherity::algorithms;
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//!
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//! let mut graph = Graph::new();
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//! // Creates a map for edge weights with a default weight.
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//! let mut weights = graph.edge_map(1);
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//! // Adds three vertices and two edges.
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//! let v1 = graph.add_vertex();
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//! let v2 = graph.add_vertex();
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//! let v3 = graph.add_vertex();
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//! graph.add_edge(v1, v2);
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//! let e = graph.add_edge(v2, v3);
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//! // Sets a non-default weight for the second edge.
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//! weights[e] = 5;
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//!
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//! // Checks the number of vertices.
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//! assert_eq!(graph.vertex_count(), 3);
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//! // Checks the number of edges.
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//! assert_eq!(graph.edge_count(), 2);
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//! // Checks that v1 and v2 are adjacent.
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//! assert!(graph.are_adjacent(v1, v2));
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//! // Checks that v1 and v3 are not adjacent.
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//! assert!(!graph.are_adjacent(v1, v3));
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//! // Checks the sum of all vertex degrees.
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//! let sum: usize = graph.vertices().map(|v| graph.degree(v)).sum();
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//! assert_eq!(sum, 1 + 2 + 1);
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//!
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//! // Calls Dijkstra's algorithm using the edge weights to find the shortest path from v1 to v3.
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//! let result = algorithms::dijkstra(&graph, v1, |e| weights[e]);
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//! assert_eq!(result.distances[v3], Some(1 + 5));
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//! assert_eq!(result.predecessors[v3], Some(v2));
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//!
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//! // Deletes the middle vertex and its incident edges.
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//! graph.delete_vertex(v2);
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//!
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//! // Calls Dijkstra's algorithm again on the now disconnected graph.
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//! let result = algorithms::dijkstra(&graph, v1, |e| weights[e]);
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//! assert_eq!(result.distances[v3], None);
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//! assert_eq!(result.predecessors[v3], None);
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//! ```
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//!
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//! # Graph types
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//!
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//! [`Graph`] and [`AppendGraph`] both implement [`GraphTopology`] using a flat, index-based adjacency
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//! list to store edges, which means that vertex and edge insertions happen in `O(1)`. Degree
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//! lookups are also `O(1)`.
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//!
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//! [`Graph`] additionally implements [`GraphTopologyDeletion`], thereby supporting deletion of
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//! vertices and edges.
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//!
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//! [`AppendGraph`] does not support deletion, vertices and edges can only be added, allowing it to
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//! be smaller and more performant compared to [`Graph`] by not requiring the per-element generation
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//! tracking needed for stable handles after deletion.
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//!
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//! # Vertices and edges
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//!
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//! Graphs in this library use stable indices [`GraphTopology::Vertex`] and [`GraphTopology::Edge`]
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//! to denote vertices and edges. This means that vertices and edges returned by graph functions
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//! never change, even if the underlying graph data structure is mutated. However, vertices and
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//! edges can become invalid when the denoted element is deleted. Code using an invalid vertex or
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//! edge in a graph method will panic.
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//!
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//! ```should_panic
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//! # use grapherity::prelude::*;
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//! # use grapherity::models::Graph;
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//! let mut graph = Graph::new();
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//! let v = graph.add_vertex();
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//! graph.delete_vertex(v);
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//! // This will panic because 'v' was deleted and is not valid anymore.
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//! graph.degree(v);
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//! ```
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//!
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//! [`VertexMap`] and [`EdgeMap`] are not required to panic if provided with an invalid
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//! vertex or edge.
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//!
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//! Vertices and edges are provided by the graph and not intended to be generated by users.
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//!
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//! # Loops and multi-edges
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//!
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//! Loops and multi edges are supported as well. In the following example, `v1` will have two loops
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//! and two edges to `v2`.
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//!
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//! ```
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//! # use grapherity::prelude::*;
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//! # use grapherity::models::Graph;
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//! let mut graph = Graph::new();
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//! let v1 = graph.add_vertex();
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//! let v2 = graph.add_vertex();
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//! for _ in 0..2 {
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//! graph.add_edge(v1, v1);
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//! graph.add_edge(v1, v2);
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//! }
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//! assert_eq!(graph.edge_count(), 4);
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//! assert_eq!(graph.degree(v1), 6);
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//! ```
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//!
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//! [BFS]: crate::algorithms::bfs
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//! [Dijkstra's algorithm]: crate::algorithms::dijkstra
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//! [DFS]: crate::algorithms::dfs
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//! [`EdgeMap`]: crate::maps::EdgeMap
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//! [`VertexMap`]: crate::maps::VertexMap
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//! [`AppendGraph`]: crate::models::AppendGraph
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//! [`Graph`]: crate::models::Graph
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//! [`GraphTopology`]: crate::traits::GraphTopology
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//! [`GraphTopology::Edge`]: crate::traits::GraphTopology::Edge
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//! [`GraphTopology::Vertex`]: crate::traits::GraphTopology::Vertex
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//! [`GraphTopologyDeletion`]: crate::traits::GraphTopologyDeletion
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#![warn(missing_docs)]
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pub mod algorithms;
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pub mod maps;
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pub mod models;
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@@ -23,7 +23,6 @@ impl<V: Copy, T: Clone> VertexMap<V, T> {
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self.capacity()
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}
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pub fn sync<G: GraphTopology<Vertex = V>>(&mut self, graph: &G) {
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self.inner.resize(graph.vertex_capacity());
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}
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@@ -1,5 +1,7 @@
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pub mod append_graph;
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pub mod graph;
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// TODO: Compressed-sparse-row graph model.
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pub use append_graph::{AppendGraph, AppendGraphEdgeMap, AppendGraphVertexMap};
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pub use graph::{Graph, GraphEdgeMap, GraphVertexMap};
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