public Set<EndpointPair<N>> edges() {
        if (allowsParallelEdges()) {
          return super.edges(); // Defer to AbstractGraph implementation.
        }

        // Optimized implementation assumes no parallel edges (1:1 edge to EndpointPair mapping).
        return new AbstractSet<EndpointPair<N>>() {
          @Override
          public Iterator<EndpointPair<N>> iterator() {
            return Iterators.transform(

      public Set<EndpointPair<N>> edges() {
        if (allowsParallelEdges()) {
          return super.edges(); // Defer to AbstractGraph implementation.
        }

        // Optimized implementation assumes no parallel edges (1:1 edge to EndpointPair mapping).
        return new AbstractSet<EndpointPair<N>>() {
          @Override
          public Iterator<EndpointPair<N>> iterator() {
            return Iterators.transform(

The intended users of this repo are users running Istio in production who want to select, tune
and understand each binary that gets deployed, and select which combination to use.

Note: each component can be installed in parallel with an existing Istio 1.0 or 1.1 installation in
`istio-system`. The new components will not interfere with existing apps, but can interoperate,
and it is possible to gradually move apps from Istio 1.0/1.1 to the new environments and

// loadFormatErasureAll - load all format config from all input disks in parallel.
func loadFormatErasureAll(storageDisks []StorageAPI, heal bool) ([]*formatErasureV3, []error) {
	// Initialize list of errors.
	g := errgroup.WithNErrs(len(storageDisks))

	// Initialize format configs.
	formats := make([]*formatErasureV3, len(storageDisks))

	// Load format from each disk in parallel
	for index := range storageDisks {
		index := index

	metadataArray := make([]FileInfo, len(disks))

	opts := ReadOptions{
		ReadData: readData,
		Healing:  healing,
	}

	g := errgroup.WithNErrs(len(disks))
	// Read `xl.meta` in parallel across disks.
	for index := range disks {
		index := index
		g.Go(func() (err error) {
			if disks[index] == nil {
				return errDiskNotFound
			}

	resource := pathJoin(volume, path)

	n.lockMapMutex.Lock()
	nsLk, found := n.lockMap[resource]
	if !found {
		nsLk = &nsLock{
			LRWMutex: lsync.NewLRWMutex(),
		}
		// Add a count to indicate that a parallel unlock doesn't clear this entry.
	}
	nsLk.ref++
	n.lockMap[resource] = nsLk
	n.lockMapMutex.Unlock()

	// Locking here will block (until timeout).
	if readLock {

  // pod-1, etc) and the controller will wait until each pod is ready before
  // continuing. When scaling down, the pods are removed in the opposite order.
  // The alternative policy is `Parallel` which will create pods in parallel
  // to match the desired scale without waiting, and on scale down will delete
  // all pods at once.
  // +optional
  optional string podManagementPolicy = 6;

    String getResumeFrom();

    MavenExecutionRequest setMakeBehavior(String makeBehavior);

    String getMakeBehavior();

    /**
     * Set's the parallel degree of concurrency used by the build.
     *
     * @param degreeOfConcurrency
     */
    void setDegreeOfConcurrency(int degreeOfConcurrency);

    /**

    boolean isParallel = false;
    int characteristics = Spliterator.ORDERED | Spliterator.SIZED | Spliterator.NONNULL;
    long estimatedSize = 0L;
    ImmutableList.Builder<Spliterator<? extends T>> splitrsBuilder =
        new ImmutableList.Builder<>(streams.length);
    for (Stream<? extends T> stream : streams) {
      isParallel |= stream.isParallel();

### Parallel Hamburgerler

Şimdi bunların "Eşzamanlı Hamburger" değil, "Paralel Hamburger" olduğunu düşünelim.

Hamburger 🍔 almak için 😍 aşkınla Paralel fast food'a gidiyorsun.