Struct petgraph::visit::Bfs

pub struct Bfs<N, VM> {
    pub stack: VecDeque<N>,
    pub discovered: VM,
}

A breadth first search (BFS) of a graph.

The traversal starts at a given node and only traverses nodes reachable from it.

Bfs is not recursive.

Bfs does not itself borrow the graph, and because of this you can run a traversal over a graph while still retaining mutable access to it, if you use it like the following example:

use petgraph::Graph;
use petgraph::visit::Bfs;

let mut graph = Graph::<_,()>::new();
let a = graph.add_node(0);

let mut bfs = Bfs::new(&graph, a);
while let Some(nx) = bfs.next(&graph) {
    // we can access `graph` mutably here still
    graph[nx] += 1;
}

assert_eq!(graph[a], 1);

Note: The algorithm may not behave correctly if nodes are removed during iteration. It may not necessarily visit added nodes or edges.

Fields

stack: VecDeque<N>

The queue of nodes to visit

discovered: VM

The map of discovered nodes

Implementations

impl<N, VM> Bfs<N, VM> where
    N: Copy + PartialEq,
    VM: VisitMap<N>, 

pub fn new<G>(graph: G, start: N) -> Self where
    G: GraphRef + Visitable<NodeId = N, Map = VM>, 

Create a new Bfs, using the graph’s visitor map, and put start in the stack of nodes to visit.

pub fn next<G>(&mut self, graph: G) -> Option<N> where
    G: IntoNeighbors<NodeId = N>, 

Return the next node in the bfs, or None if the traversal is done.

Trait Implementations

impl<N: Clone, VM: Clone> Clone for Bfs<N, VM>

fn clone(&self) -> Bfs<N, VM>

Returns a copy of the value.

pub fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<N, VM> Default for Bfs<N, VM> where
    VM: Default, 

fn default() -> Self

Returns the “default value” for a type.

impl<G> Walker<G> for Bfs<G::NodeId, G::Map> where
    G: IntoNeighbors + Visitable, 

type Item = G::NodeId

fn walk_next(&mut self, context: G) -> Option<Self::Item>

Advance to the next item

fn iter(self, context: Context) -> WalkerIter<Self, Context> where
    Self: Sized,
    Context: Clone, 

Create an iterator out of the walker and given context.