2015-01-23 19:52:51 -06:00
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package dag
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2015-02-04 09:10:32 -06:00
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import (
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"fmt"
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"strings"
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"sync"
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"github.com/hashicorp/go-multierror"
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)
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2015-01-23 19:52:51 -06:00
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// AcyclicGraph is a specialization of Graph that cannot have cycles. With
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// this property, we get the property of sane graph traversal.
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type AcyclicGraph struct {
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Graph
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}
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// WalkFunc is the callback used for walking the graph.
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type WalkFunc func(Vertex) error
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// Root returns the root of the DAG, or an error.
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//
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// Complexity: O(V)
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func (g *AcyclicGraph) Root() (Vertex, error) {
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roots := make([]Vertex, 0, 1)
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for _, v := range g.Vertices() {
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if g.UpEdges(v).Len() == 0 {
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roots = append(roots, v)
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}
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}
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if len(roots) > 1 {
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// TODO(mitchellh): make this error message a lot better
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return nil, fmt.Errorf("multiple roots: %#v", roots)
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}
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if len(roots) == 0 {
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return nil, fmt.Errorf("no roots found")
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}
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return roots[0], nil
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}
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2015-02-27 21:12:19 -06:00
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// TransitiveReduction performs the transitive reduction of graph g in place.
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// The transitive reduction of a graph is a graph with as few edges as
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// possible with the same reachability as the original graph. This means
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// that if there are three nodes A => B => C, and A connects to both
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// B and C, and B connects to C, then the transitive reduction is the
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// same graph with only a single edge between A and B, and a single edge
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// between B and C.
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//
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// The graph must be valid for this operation to behave properly. If
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// Validate() returns an error, the behavior is undefined and the results
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// will likely be unexpected.
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//
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// Complexity: O(V(V+E)), or asymptotically O(VE)
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func (g *AcyclicGraph) TransitiveReduction() {
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// For each vertex u in graph g, do a DFS starting from each vertex
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// v such that the edge (u,v) exists (v is a direct descendant of u).
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//
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// For each v-prime reachable from v, remove the edge (u, v-prime).
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for _, u := range g.Vertices() {
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uTargets := g.DownEdges(u)
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vs := make([]Vertex, uTargets.Len())
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for i, vRaw := range uTargets.List() {
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vs[i] = vRaw.(Vertex)
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}
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g.depthFirstWalk(vs, func(v Vertex) error {
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shared := uTargets.Intersection(g.DownEdges(v))
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for _, raw := range shared.List() {
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vPrime := raw.(Vertex)
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g.RemoveEdge(BasicEdge(u, vPrime))
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}
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return nil
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})
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}
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}
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// Validate validates the DAG. A DAG is valid if it has a single root
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// with no cycles.
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func (g *AcyclicGraph) Validate() error {
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if _, err := g.Root(); err != nil {
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return err
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}
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// Look for cycles of more than 1 component
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var err error
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var cycles [][]Vertex
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for _, cycle := range StronglyConnected(&g.Graph) {
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if len(cycle) > 1 {
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cycles = append(cycles, cycle)
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}
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}
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if len(cycles) > 0 {
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for _, cycle := range cycles {
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cycleStr := make([]string, len(cycle))
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for j, vertex := range cycle {
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cycleStr[j] = VertexName(vertex)
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}
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err = multierror.Append(err, fmt.Errorf(
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"Cycle: %s", strings.Join(cycleStr, ", ")))
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}
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}
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// Look for cycles to self
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for _, e := range g.Edges() {
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if e.Source() == e.Target() {
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err = multierror.Append(err, fmt.Errorf(
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"Self reference: %s", VertexName(e.Source())))
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}
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}
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return err
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}
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// Walk walks the graph, calling your callback as each node is visited.
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// This will walk nodes in parallel if it can. Because the walk is done
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// in parallel, the error returned will be a multierror.
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func (g *AcyclicGraph) Walk(cb WalkFunc) error {
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// Cache the vertices since we use it multiple times
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vertices := g.Vertices()
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// Build the waitgroup that signals when we're done
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var wg sync.WaitGroup
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wg.Add(len(vertices))
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doneCh := make(chan struct{})
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go func() {
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defer close(doneCh)
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wg.Wait()
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}()
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// The map of channels to watch to wait for vertices to finish
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vertMap := make(map[Vertex]chan struct{})
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for _, v := range vertices {
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vertMap[v] = make(chan struct{})
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}
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// The map of whether a vertex errored or not during the walk
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var errLock sync.Mutex
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var errs error
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errMap := make(map[Vertex]bool)
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for _, v := range vertices {
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// Build our list of dependencies and the list of channels to
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// wait on until we start executing for this vertex.
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depsRaw := g.DownEdges(v).List()
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deps := make([]Vertex, len(depsRaw))
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depChs := make([]<-chan struct{}, len(deps))
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for i, raw := range depsRaw {
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deps[i] = raw.(Vertex)
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depChs[i] = vertMap[deps[i]]
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}
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// Get our channel so that we can close it when we're done
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ourCh := vertMap[v]
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// Start the goroutine to wait for our dependencies
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readyCh := make(chan bool)
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go func(deps []Vertex, chs []<-chan struct{}, readyCh chan<- bool) {
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// First wait for all the dependencies
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for _, ch := range chs {
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<-ch
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}
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// Then, check the map to see if any of our dependencies failed
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errLock.Lock()
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defer errLock.Unlock()
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for _, dep := range deps {
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if errMap[dep] {
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readyCh <- false
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return
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}
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}
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readyCh <- true
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}(deps, depChs, readyCh)
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// Start the goroutine that executes
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go func(v Vertex, doneCh chan<- struct{}, readyCh <-chan bool) {
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defer close(doneCh)
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defer wg.Done()
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var err error
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if ready := <-readyCh; ready {
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err = cb(v)
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}
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errLock.Lock()
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defer errLock.Unlock()
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if err != nil {
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errMap[v] = true
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errs = multierror.Append(errs, err)
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}
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}(v, ourCh, readyCh)
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}
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<-doneCh
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return errs
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}
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// depthFirstWalk does a depth-first walk of the graph starting from
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// the vertices in start. This is not exported now but it would make sense
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// to export this publicly at some point.
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func (g *AcyclicGraph) depthFirstWalk(start []Vertex, cb WalkFunc) error {
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seen := make(map[Vertex]struct{})
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frontier := make([]Vertex, len(start))
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copy(frontier, start)
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for len(frontier) > 0 {
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// Pop the current vertex
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n := len(frontier)
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current := frontier[n-1]
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frontier = frontier[:n-1]
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// Check if we've seen this already and return...
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if _, ok := seen[current]; ok {
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continue
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}
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seen[current] = struct{}{}
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// Visit the current node
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if err := cb(current); err != nil {
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return err
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}
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// Visit targets of this in reverse order.
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targets := g.DownEdges(current).List()
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for i := len(targets) - 1; i >= 0; i-- {
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frontier = append(frontier, targets[i].(Vertex))
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}
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}
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return nil
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}
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