[−][src]Struct petgraph::visit::Dfs
Visit nodes of a graph in a depth-first-search (DFS) emitting nodes in preorder (when they are first discovered).
The traversal starts at a given node and only traverses nodes reachable from it.
Dfs
is not recursive.
Dfs
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::Dfs; let mut graph = Graph::<_,()>::new(); let a = graph.add_node(0); let mut dfs = Dfs::new(&graph, a); while let Some(nx) = dfs.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: Vec<N>
The stack of nodes to visit
discovered: VM
The map of discovered nodes
Implementations
impl<N, VM> Dfs<N, VM> where
N: Copy + PartialEq,
VM: VisitMap<N>,
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N: Copy + PartialEq,
VM: VisitMap<N>,
pub fn new<G>(graph: G, start: N) -> Self where
G: GraphRef + Visitable<NodeId = N, Map = VM>,
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G: GraphRef + Visitable<NodeId = N, Map = VM>,
Create a new Dfs, using the graph's visitor map, and put start in the stack of nodes to visit.
pub fn from_parts(stack: Vec<N>, discovered: VM) -> Self
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Create a Dfs
from a vector and a visit map
pub fn reset<G>(&mut self, graph: G) where
G: GraphRef + Visitable<NodeId = N, Map = VM>,
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G: GraphRef + Visitable<NodeId = N, Map = VM>,
Clear the visit state
pub fn empty<G>(graph: G) -> Self where
G: GraphRef + Visitable<NodeId = N, Map = VM>,
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G: GraphRef + Visitable<NodeId = N, Map = VM>,
Create a new Dfs using the graph's visitor map, and no stack.
pub fn move_to(&mut self, start: N)
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Keep the discovered map, but clear the visit stack and restart the dfs from a particular node.
pub fn next<G>(&mut self, graph: G) -> Option<N> where
G: IntoNeighbors<NodeId = N>,
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G: IntoNeighbors<NodeId = N>,
Return the next node in the dfs, or None if the traversal is done.
Trait Implementations
impl<N: Clone, VM: Clone> Clone for Dfs<N, VM>
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impl<N: Debug, VM: Debug> Debug for Dfs<N, VM>
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impl<G> Walker<G> for Dfs<G::NodeId, G::Map> where
G: IntoNeighbors + Visitable,
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G: IntoNeighbors + Visitable,
type Item = G::NodeId
fn walk_next(&mut self, context: G) -> Option<Self::Item>
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fn iter(self, context: Context) -> WalkerIter<Self, Context>ⓘNotable traits for WalkerIter<W, C>
impl<W, C> Iterator for WalkerIter<W, C> where
W: Walker<C>,
C: Clone, type Item = W::Item;
where
Self: Sized,
Context: Clone,
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Notable traits for WalkerIter<W, C>
impl<W, C> Iterator for WalkerIter<W, C> where
W: Walker<C>,
C: Clone, type Item = W::Item;
Self: Sized,
Context: Clone,
Auto Trait Implementations
impl<N, VM> RefUnwindSafe for Dfs<N, VM> where
N: RefUnwindSafe,
VM: RefUnwindSafe,
N: RefUnwindSafe,
VM: RefUnwindSafe,
impl<N, VM> Send for Dfs<N, VM> where
N: Send,
VM: Send,
N: Send,
VM: Send,
impl<N, VM> Sync for Dfs<N, VM> where
N: Sync,
VM: Sync,
N: Sync,
VM: Sync,
impl<N, VM> Unpin for Dfs<N, VM> where
N: Unpin,
VM: Unpin,
N: Unpin,
VM: Unpin,
impl<N, VM> UnwindSafe for Dfs<N, VM> where
N: UnwindSafe,
VM: UnwindSafe,
N: UnwindSafe,
VM: UnwindSafe,
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,