Trait dsp::Walker
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pub trait Walker<G> { type Index: IndexType; fn next(&mut self, graph: &G) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)>; fn next_edge(&mut self, graph: &G) -> Option<EdgeIndex<Self::Index>> { ... } fn next_node(&mut self, graph: &G) -> Option<NodeIndex<Self::Index>> { ... } fn count(self, graph: &G) -> usize { ... } fn last(self, graph: &G) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)> { ... } fn last_edge(self, graph: &G) -> Option<EdgeIndex<Self::Index>> { ... } fn last_node(self, graph: &G) -> Option<NodeIndex<Self::Index>> { ... } fn nth(self, graph: &G, n: usize) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)> { ... } fn nth_edge(self, graph: &G, n: usize) -> Option<EdgeIndex<Self::Index>> { ... } fn nth_node(self, graph: &G, n: usize) -> Option<NodeIndex<Self::Index>> { ... } fn chain<O>(self, other: O) -> Chain<G, Self::Index, Self, O> where O: Walker<G, Index=Self::Index> { ... } fn filter<P>(self, predicate: P) -> Filter<Self, P> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn peekable(self) -> Peekable<G, Self::Index, Self> { ... } fn skip_while<P>(self, predicate: P) -> SkipWhile<Self, P> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn take_while<P>(self, predicate: P) -> TakeWhile<Self, P> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn skip(self, n: usize) -> Skip<G, Self::Index, Self> { ... } fn take(self, n: usize) -> Take<G, Self::Index, Self> { ... } fn all<P>(&mut self, graph: &G, predicate: P) -> bool where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn any<P>(&mut self, graph: &G, predicate: P) -> bool where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn find<P>(&mut self, graph: &G, predicate: P) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn find_edge<P>(&mut self, graph: &G, predicate: P) -> Option<EdgeIndex<Self::Index>> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn find_node<P>(&mut self, graph: &G, predicate: P) -> Option<NodeIndex<Self::Index>> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool { ... } fn cycle(self) -> Cycle<G, Self::Index, Self> where Self: Clone { ... } fn fold<B, F>(self, init: B, graph: &G, f: F) -> B where F: FnMut(B, &G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> B { ... } fn inspect<F>(self, f: F) -> Inspect<Self, F> where F: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> () { ... } fn iter(self, graph: &G) -> Iter<G, Self::Index, Self> { ... } fn iter_weights(self, graph: &G) -> IterWeights<G, Self::Index, Self> { ... } }
A trait providing a variety of useful methods for traversing some graph type G.
Walker can be likened to the std Iterator trait. It's methods behave similarly, but it is different in that it takes a reference to some graph as an argument to its "next" method.
Walker method return types (besides the iterators) never borrow the graph. This means that we can still safely mutably borrow from the graph whilst we traverse it.
Associated Types
Required Methods
fn next(&mut self, graph: &G) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)>
Fetch the EdgeIndex
and NodeIndex
to the next neighbour in our walk through the given
Graph.
Provided Methods
fn next_edge(&mut self, graph: &G) -> Option<EdgeIndex<Self::Index>>
The next edge in our walk for the given Graph.
fn next_node(&mut self, graph: &G) -> Option<NodeIndex<Self::Index>>
The next node in our walk for the given Graph.
fn count(self, graph: &G) -> usize
Counts all the steps in the entire walk of the given graph.
fn last(self, graph: &G) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)>
Walks the whole walk until reaching and returning the last edge node pair.
fn last_edge(self, graph: &G) -> Option<EdgeIndex<Self::Index>>
Walks the whole walk until reaching and returning the last edge.
fn last_node(self, graph: &G) -> Option<NodeIndex<Self::Index>>
Walks the whole walk until reaching and returning the last node.
fn nth(self, graph: &G, n: usize) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)>
Walks "n" number of steps and produces the resulting edge node pair.
fn nth_edge(self, graph: &G, n: usize) -> Option<EdgeIndex<Self::Index>>
Walks "n" number of steps and produces the resulting edge.
fn nth_node(self, graph: &G, n: usize) -> Option<NodeIndex<Self::Index>>
Walks "n" number of steps and produces the resulting node.
fn chain<O>(self, other: O) -> Chain<G, Self::Index, Self, O> where O: Walker<G, Index=Self::Index>
Produces a walker that will walk the entirey of self
before walking the entirey of other.
fn filter<P>(self, predicate: P) -> Filter<Self, P> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Creates a walker that applies the predicate to each element returned by this walker. The only elements that will be yielded are those that make the predicate evaluate to true.
fn peekable(self) -> Peekable<G, Self::Index, Self>
Creates a walker that has a .peek(&graph)
method that returns an optional next neighbor.
fn skip_while<P>(self, predicate: P) -> SkipWhile<Self, P> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Creates a walker that invokes the predicate on elements until it returns false. Once the predicate returns false, that element and all further elements are yielded.
fn take_while<P>(self, predicate: P) -> TakeWhile<Self, P> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Creates a walker that yields elements so long as the predicate returns true. After the predicate returns false for the first time, no further elements will be yielded.
fn skip(self, n: usize) -> Skip<G, Self::Index, Self>
Creates a walker that skips the first n steps of this walk, and then yields all further steps.
fn take(self, n: usize) -> Take<G, Self::Index, Self>
Creates a walker that yields the first n steps of this walk.
fn all<P>(&mut self, graph: &G, predicate: P) -> bool where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Tests whether the predicate holds true for all steps in the walk.
fn any<P>(&mut self, graph: &G, predicate: P) -> bool where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Tests whether any step in the walk satisfies the given predicate.
Does not step the walker past the first found step.
fn find<P>(&mut self, graph: &G, predicate: P) -> Option<(EdgeIndex<Self::Index>, NodeIndex<Self::Index>)> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Returns the first edge node index pair satisfying the specified predicate.
Does not consume the walker past the first found step.
fn find_edge<P>(&mut self, graph: &G, predicate: P) -> Option<EdgeIndex<Self::Index>> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Returns the edge index satisfying the specified predicate.
Does not consume the walker past the first found step.
fn find_node<P>(&mut self, graph: &G, predicate: P) -> Option<NodeIndex<Self::Index>> where P: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> bool
Returns the node index satisfying the specified predicate.
Does not consume the walker past the first found step.
fn cycle(self) -> Cycle<G, Self::Index, Self> where Self: Clone
Repeats the walker endlessly.
fn fold<B, F>(self, init: B, graph: &G, f: F) -> B where F: FnMut(B, &G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> B
Performs a fold operation over the entire walker, returning the eventual state at the end of the walk.
This operation is sometimes called 'reduce' or 'inject'.
fn inspect<F>(self, f: F) -> Inspect<Self, F> where F: FnMut(&G, EdgeIndex<Self::Index>, NodeIndex<Self::Index>) -> ()
Creates a walker that calls a function with a reference to each index pair before yielding them. This is often useful for debugging a walker pipeline.
fn iter(self, graph: &G) -> Iter<G, Self::Index, Self>
Converts the walker into an iterator yielding index pairs.
The returned iterator borrows the graph.
fn iter_weights(self, graph: &G) -> IterWeights<G, Self::Index, Self>
Converts the walker into an iterator yielding (&e, &n)
, where e
is the edge weight for
the next EdgeIndex
and n
is the node weight for the next NodeIndex
.
The returned iterator borrows the graph.
Implementors
impl<G, Ix, F> Walker<G> for Recursive<G, Ix, F> where F: FnMut(&G, NodeIndex<Ix>) -> Option<(EdgeIndex<Ix>, NodeIndex<Ix>)>, Ix: IndexType
impl<G, Ix, A, B> Walker<G> for Chain<G, Ix, A, B> where A: Walker<G, Index=Ix>, B: Walker<G, Index=Ix>, Ix: IndexType
impl<G, Ix, W, P> Walker<G> for Filter<W, P> where Ix: IndexType, P: FnMut(&G, EdgeIndex<Ix>, NodeIndex<Ix>) -> bool, W: Walker<G, Index=Ix>
impl<G, Ix, W> Walker<G> for Peekable<G, Ix, W> where Ix: IndexType, W: Walker<G, Index=Ix>
impl<G, Ix, W, P> Walker<G> for SkipWhile<W, P> where Ix: IndexType, P: FnMut(&G, EdgeIndex<Ix>, NodeIndex<Ix>) -> bool, W: Walker<G, Index=Ix>
impl<G, Ix, W, P> Walker<G> for TakeWhile<W, P> where Ix: IndexType, P: FnMut(&G, EdgeIndex<Ix>, NodeIndex<Ix>) -> bool, W: Walker<G, Index=Ix>
impl<G, Ix, W> Walker<G> for Skip<G, Ix, W> where Ix: IndexType, W: Walker<G, Index=Ix>
impl<G, Ix, W> Walker<G> for Take<G, Ix, W> where Ix: IndexType, W: Walker<G, Index=Ix>
impl<G, Ix, W> Walker<G> for Cycle<G, Ix, W> where Ix: IndexType, W: Walker<G, Index=Ix> + Clone
impl<G, Ix, W, F> Walker<G> for Inspect<W, F> where F: FnMut(&G, EdgeIndex<Ix>, NodeIndex<Ix>) -> (), Ix: IndexType, W: Walker<G, Index=Ix>
impl<N, E, Ix> Walker<Dag<N, E, Ix>> for Children<N, E, Ix> where Ix: IndexType
impl<N, E, Ix> Walker<Dag<N, E, Ix>> for Parents<N, E, Ix> where Ix: IndexType
impl<F, N> Walker<Graph<F, N>> for Inputs<F, N>
impl<F, N> Walker<Graph<F, N>> for Outputs<F, N>