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//! A Dijkstra's algorithm implementation that aims to be simple to use and fast to run
//!
//! *simple.* nodes id and its cost are defined by yuor own types
//!
//! *fast.* ok, it's still a work-in-progress, but the goal is a fast computing with as
//! less allocations as possible
//!
//! ```toml
//! [dependencies]
//! dijkstra-suite = "0.1.0-beta.3"
//! ```
//!
//! ## Usage
//!
//! Create a `Graph`, define the start and the end node ids, then call `dijkstra_path()` function.
//! Returned result is a path of `Path` type, represented as an ordinated sequence of node ids
//! along with the total weight of the path (the sum of all node weights of the path)
//!
//! ### Errors
//!
//! All errors convolute to [`DijkstraError`](error::DijkstraError), import it from [`error`] module and
//! handle every error of the library. See [`error`] for further usage information
//!
//! ## Example
//!
//! ```rust
//! use dijkstra_suite::dijkstra::dijkstra_path;
//! use dijkstra_suite::graph::Graph;
//! use dijkstra_suite::path::Path;
//! use dijkstra_suite::node::{Node, NodeConnection};
//!
//! let mut graph: Graph<&str, f32> = Graph::default();
//! let node_a = Node {
//! id: "A",
//! weight: 0.0,
//! neighbours: vec![
//! NodeConnection {
//! from: "A",
//! to: "B",
//! weight: 7.0,
//! },
//! NodeConnection {
//! from: "A",
//! to: "E",
//! weight: 1.0,
//! },
//! ],
//! };
//!
//! let node_b = Node {
//! id: "B",
//! weight: 0.0,
//! neighbours: vec![
//! NodeConnection {
//! from: "B",
//! to: "A",
//! weight: 7.0,
//! },
//! NodeConnection {
//! from: "B",
//! to: "C",
//! weight: 3.0,
//! },
//! NodeConnection {
//! from: "B",
//! to: "E",
//! weight: 8.0,
//! },
//! ],
//! };
//!
//! let node_c = Node {
//! id: "C",
//! weight: 0.0,
//! neighbours: vec![
//! NodeConnection {
//! from: "C",
//! to: "B",
//! weight: 3.0,
//! },
//! NodeConnection {
//! from: "C",
//! to: "D",
//! weight: 6.0,
//! },
//! NodeConnection {
//! from: "C",
//! to: "E",
//! weight: 2.0,
//! },
//! ],
//! };
//!
//! let node_d = Node {
//! id: "D",
//! weight: 0.0,
//! neighbours: vec![
//! NodeConnection {
//! from: "D",
//! to: "C",
//! weight: 6.0,
//! },
//! NodeConnection {
//! from: "D",
//! to: "E",
//! weight: 7.0,
//! },
//! ],
//! };
//!
//! let node_e = Node {
//! id: "E",
//! weight: 0.0,
//! neighbours: vec![
//! NodeConnection {
//! from: "E",
//! to: "A",
//! weight: 1.0,
//! },
//! NodeConnection {
//! from: "E",
//! to: "B",
//! weight: 8.0,
//! },
//! NodeConnection {
//! from: "E",
//! to: "C",
//! weight: 2.0,
//! },
//! NodeConnection {
//! from: "E",
//! to: "D",
//! weight: 7.0,
//! },
//! ],
//! };
//!
//! graph.insert(node_a.id, node_a);
//! graph.insert(node_b.id, node_b);
//! graph.insert(node_c.id, node_c);
//! graph.insert(node_d.id, node_d);
//! graph.insert(node_e.id, node_e);
//!
//! let result = dijkstra_path(&graph, "B", "D");
//!
//! let expected_path: Path<&str, f32> = Path {
//! weight: 9.0,
//! steps: vec!["B", "C", "D"],
//! };
//!
//! assert_eq!(result.unwrap(), expected_path)
//!
//! ```
pub use *;