
//! `petgraph` is a graph data structure library.
//! 
//! Graphs are collections of nodes, and edges between nodes. `petgraph`
//! provides several [graph types](index.html#graph-types) (each differing in the
//! tradeoffs taken in their internal representation),
//! [algorithms](./algo/index.html#functions) on those graphs, and functionality to
//! [output graphs](./doc/petgraph/dot/struct.Dot.html) in
//! [`graphviz`](https://www.graphviz.org/) format. Both nodes and edges
//! can have arbitrary associated data, and edges may be either directed or undirected.
//! 
//! # Example
//! 
//! ```rust
//! use petgraph::prelude::*;
//! use petgraph::algo::{dijkstra, min_spanning_tree};
//! use petgraph::data::FromElements;
//! use petgraph::dot::{Dot, Config};
//!
//! // Create an undirected graph where nodes are &str, and edges have no weight.
//! let g = UnGraphMap::<&str, ()>::from_edges(&[
//!     ("a", "b"), ("b", "c"), ("c", "d"),
//!     ("a", "d")]);
//!
//! // Find the shortest path from "a" to "d" using 1 as the cost for every edge.
//! let node_map = dijkstra(&g, "a", Some("d"), |_| 1);
//! assert_eq!(&1, node_map.get("d").unwrap());
//!
//! // Get the minimum spanning tree of the graph as a new graph, and check that
//! // one edge was trimmed.
//! let mst = UnGraphMap::from_elements(min_spanning_tree(&g));
//! assert_eq!(g.all_edges().count() - 1, mst.all_edges().count());
//!
//! // Output the tree to graphviz DOT format
//! println!("{:?}", Dot::with_config(&mst, &[Config::EdgeNoLabel]));
//! // graph {
//! //     0 [label="\"a\""]
//! //     1 [label="\"b\""]
//! //     2 [label="\"c\""]
//! //     3 [label="\"d\""]
//! //     0 -- 1
//! //     2 -- 3
//! //     1 -- 2
//! // }
//! ```
//!
//! # Graph types
//! 
//! * [`Graph`](./graph/struct.Graph.html) -
//!   An adjacency list graph with arbitrary associated data.
//! * [`StableGraph`](./stable_graph/struct.StableGraph.html) -
//!   Similar to `Graph`, but it keeps indices stable across removals.
//! * [`GraphMap`](./graphmap/struct.GraphMap.html) -
//!   An adjacency list graph backed by a hash table. The node identifiers are the keys
//!   into the table.
//! * [`MatrixGraph`](./matrix_graph/struct.MatrixGraph.html) -
//!   An adjacency matrix graph.
//! * [`CSR`](./csr/struct.Csr.html) -
//!   A sparse adjacency matrix graph with arbitrary associated data.
//!
//! ### Generic parameters
//! 
//! Each graph type is generic over a handful of parameters. All graphs share 3 common
//! parameters, `N`, `E`, and `Ty`. This is a broad overview of what those are. Each
//! type's documentation will have finer detail on these parameters.
//! 
//! `N` & `E` are called *weights* in this implementation, and are associated with
//! nodes and edges respectively. They can generally be of arbitrary type, and don't have to
//! be what you might conventionally consider weight-like. For example, using `&str` for `N`
//! will work. Many algorithms that require costs let you provide a cost function that
//! translates your `N` and `E` weights into costs appropriate to the algorithm. Some graph
//! types and choices do impose bounds on `N` or `E`.
//! [`min_spanning_tree`](./algo/fn.min_spanning_tree.html) for example requires edge weights that
//! implement [`PartialOrd`](https://doc.rust-lang.org/stable/core/cmp/trait.PartialOrd.html).
//! [`GraphMap`](./graphmap/struct.GraphMap.html) requires node weights that can serve as hash
//! map keys, since that graph type does not create standalone node indices.
//! 
//! `Ty` controls whether edges are [`Directed`](./petgraph/enum.Directed.html) or
//! [`Undirected`](./petgraph/enum.Unirected.html).
//! 
//! `Ix` appears on graph types that use indices. It is exposed so you can control
//! the size of node and edge indices, and therefore the memory footprint of your graphs.
//! Allowed values are `u8`, `u16`, `u32`, and `usize`, with `u32` being the default.
//! 
//! ### Shorthand types
//! 
//! Each graph type vends a few shorthand type definitions that name some specific
//! generic choices. For example, [`DiGraph<_, _>`](./graph/type.DiGraph.html) is shorthand
//! for [`Graph<_, _, Undirected>`](graph/struct.Graph.html).
//! [`UnMatrix<_, _>`](./matrix_graph/type.UnMatrix.html) is shorthand for
//! [`MatrixGraph<_, _, Undirected>`](./matrix_graph/struct.MatrixGraph.html). Each graph type's
//! module documentation lists the available shorthand types.
//! 
//! # Crate features
//! 
//! * **serde-1** -
//!   Defaults off. Enables serialization for ``Graph, StableGraph`` using
//!   [`serde 1.0`](https://crates.io/crates/serde). May require a more recent version
//!   of Rust than petgraph alone.
//! * **graphmap** -
//!   Defaults on. Enables [`GraphMap`](./graphmap/struct.GraphMap.html).
//! * **stable_graph** -
//!   Defaults on. Enables [`StableGraph`](./stable_graph/struct.StableGraph.html).
//! * **matrix_graph** -
//!   Defaults on. Enables [`MatrixGraph`](./matrix_graph/struct.MatrixGraph.html).
//!
#![doc(html_root_url = "https://docs.rs/petgraph/0.4/")]

extern crate fixedbitset;
#[cfg(feature = "graphmap")]
extern crate indexmap;

#[cfg(feature = "serde-1")]
extern crate serde;
#[cfg(feature = "serde-1")]
#[macro_use]
extern crate serde_derive;

#[cfg(all(feature = "serde-1", test))]
extern crate itertools;

#[doc(no_inline)]
pub use crate::graph::Graph;

pub use crate::Direction::{Outgoing, Incoming};

#[macro_use]
mod macros;
mod scored;

// these modules define trait-implementing macros
#[macro_use]
pub mod visit;
#[macro_use]
pub mod data;

pub mod algo;
#[cfg(feature = "generate")]
pub mod generate;
#[cfg(feature = "graphmap")]
pub mod graphmap;
#[cfg(feature = "matrix_graph")]
pub mod matrix_graph;
mod graph_impl;
pub mod dot;
pub mod unionfind;
mod dijkstra;
mod astar;
mod simple_paths;
pub mod csr;
mod iter_format;
mod iter_utils;
mod isomorphism;
mod traits_graph;
mod util;
#[cfg(feature = "quickcheck")]
mod quickcheck;
#[cfg(feature = "serde-1")]
mod serde_utils;

pub mod prelude;

/// `Graph<N, E, Ty, Ix>` is a graph datastructure using an adjacency list representation.
pub mod graph {
    pub use crate::graph_impl::{
        Edge,
        EdgeIndex,
        EdgeIndices,
        EdgeReference,
        EdgeReferences,
        EdgeWeightsMut,
        Edges,
        Externals,
        Frozen,
        Graph,
        Neighbors,
        Node,
        NodeIndex,
        NodeIndices,
        NodeWeightsMut,
        NodeReferences,
        WalkNeighbors,
        GraphIndex,
        IndexType,
        edge_index,
        node_index,
        DefaultIx,
        DiGraph,
        UnGraph,
    };
}

#[cfg(feature = "stable_graph")]
pub use crate::graph_impl::stable_graph;

macro_rules! copyclone {
    ($name:ident) => {
        impl Clone for $name {
            #[inline]
            fn clone(&self) -> Self { *self }
        }
    }
}

// Index into the NodeIndex and EdgeIndex arrays
/// Edge direction.
#[derive(Copy, Debug, PartialEq, PartialOrd, Ord, Eq, Hash)]
#[repr(usize)]
pub enum Direction {
    /// An `Outgoing` edge is an outward edge *from* the current node.
    Outgoing = 0,
    /// An `Incoming` edge is an inbound edge *to* the current node.
    Incoming = 1
}

copyclone!(Direction);

impl Direction {
    /// Return the opposite `Direction`.
    #[inline]
    pub fn opposite(&self) -> Direction {
        match *self {
            Outgoing => Incoming,
            Incoming => Outgoing,
        }
    }

    /// Return `0` for `Outgoing` and `1` for `Incoming`.
    #[inline]
    pub fn index(&self) -> usize {
        (*self as usize) & 0x1
    }
}

#[doc(hidden)]
pub use crate::Direction as EdgeDirection;

/// Marker type for a directed graph.
#[derive(Copy, Debug)]
pub enum Directed { }
copyclone!(Directed);

/// Marker type for an undirected graph.
#[derive(Copy, Debug)]
pub enum Undirected { }
copyclone!(Undirected);

/// A graph's edge type determines whether it has directed edges or not.
pub trait EdgeType {
    fn is_directed() -> bool;
}

impl EdgeType for Directed {
    #[inline]
    fn is_directed() -> bool { true }
}

impl EdgeType for Undirected {
    #[inline]
    fn is_directed() -> bool { false }
}


/// Convert an element like `(i, j)` or `(i, j, w)` into
/// a triple of source, target, edge weight.
///
/// For `Graph::from_edges` and `GraphMap::from_edges`.
pub trait IntoWeightedEdge<E> {
    type NodeId;
    fn into_weighted_edge(self) -> (Self::NodeId, Self::NodeId, E);
}

impl<Ix, E> IntoWeightedEdge<E> for (Ix, Ix)
    where E: Default
{
    type NodeId = Ix;

    fn into_weighted_edge(self) -> (Ix, Ix, E) {
        let (s, t) = self;
        (s, t, E::default())
    }
}

impl<Ix, E> IntoWeightedEdge<E> for (Ix, Ix, E)
{
    type NodeId = Ix;
    fn into_weighted_edge(self) -> (Ix, Ix, E) {
        self
    }
}

impl<'a, Ix, E> IntoWeightedEdge<E> for (Ix, Ix, &'a E)
    where E: Clone
{
    type NodeId = Ix;
    fn into_weighted_edge(self) -> (Ix, Ix, E) {
        let (a, b, c) = self;
        (a, b, c.clone())
    }
}

impl<'a, Ix, E> IntoWeightedEdge<E> for &'a (Ix, Ix)
    where Ix: Copy, E: Default
{
    type NodeId = Ix;
    fn into_weighted_edge(self) -> (Ix, Ix, E) {
        let (s, t) = *self;
        (s, t, E::default())
    }
}

impl<'a, Ix, E> IntoWeightedEdge<E> for &'a (Ix, Ix, E)
    where Ix: Copy, E: Clone
{
    type NodeId = Ix;
    fn into_weighted_edge(self) -> (Ix, Ix, E) {
        self.clone()
    }
}