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Add `-target=resource` flag to core operations, allowing users to target specific resources in their infrastructure. When `-target` is used, the operation will only apply to that resource and its dependencies. The calculated dependencies are different depending on whether we're running a normal operation or a `terraform destroy`. Generally, "dependencies" refers to ancestors: resources falling _before_ the target in the graph, because their changes are required to accurately act on the target. For destroys, "dependencies" are descendents: those resources which fall _after_ the target. These resources depend on our target, which is going to be destroyed, so they should also be destroyed.
307 lines
7.7 KiB
Go
307 lines
7.7 KiB
Go
package dag
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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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// 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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// Returns a Set that includes every Vertex yielded by walking down from the
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// provided starting Vertex v.
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func (g *AcyclicGraph) Ancestors(v Vertex) (*Set, error) {
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s := new(Set)
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start := asVertexList(g.DownEdges(v))
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memoFunc := func(v Vertex) error {
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s.Add(v)
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return nil
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}
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if err := g.depthFirstWalk(start, memoFunc); err != nil {
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return nil, err
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}
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return s, nil
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}
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// Returns a Set that includes every Vertex yielded by walking up from the
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// provided starting Vertex v.
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func (g *AcyclicGraph) Descendents(v Vertex) (*Set, error) {
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s := new(Set)
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start := asVertexList(g.UpEdges(v))
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memoFunc := func(v Vertex) error {
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s.Add(v)
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return nil
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}
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if err := g.reverseDepthFirstWalk(start, memoFunc); err != nil {
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return nil, err
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}
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return s, nil
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}
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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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// 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 := asVertexList(g.DownEdges(u))
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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 _, vPrime := range asVertexList(shared) {
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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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deps := asVertexList(g.DownEdges(v))
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depChs := make([]<-chan struct{}, len(deps))
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for i, dep := range deps {
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depChs[i] = vertMap[dep]
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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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// simple convenience helper for converting a dag.Set to a []Vertex
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func asVertexList(s *Set) []Vertex {
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rawList := s.List()
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vertexList := make([]Vertex, len(rawList))
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for i, raw := range rawList {
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vertexList[i] = raw.(Vertex)
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}
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return vertexList
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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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// reverseDepthFirstWalk does a depth-first walk _up_ the graph starting from
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// the vertices in start.
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func (g *AcyclicGraph) reverseDepthFirstWalk(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.UpEdges(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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