}

  @Override
  @ParametricNullness
  public final T previous() {
    return transform(backingIterator().previous());
  }

  @Override
  public final int nextIndex() {
    return backingIterator().nextIndex();
  }

  @Override
  public final int previousIndex() {
    return backingIterator().previousIndex();
  }

  @Override
  public void set(@ParametricNullness T element) {

    return object != null && delegate.contains(object);
  }

  @Override
  public boolean containsAll(Collection<?> targets) {
    return delegate.containsAll(targets);
  }

  @Override
  public int size() {
    return delegate.size();
  }

  @Override
  public boolean isEmpty() {
    return delegate.isEmpty();
  }

  @Override
  public Object[] toArray() {
    return delegate.toArray();
  }

            }
        }

        return false;
    }

    public void add(ArtifactFilter artifactFilter) {
        filters.add(artifactFilter);
    }

    @Override
    public int hashCode() {
        int hash = 17;
        hash = hash * 31 + filters.hashCode();
        return hash;
    }

    @Override
    public boolean equals(Object obj) {
        if (this == obj) {
            return true;

     */
    @Configuration(name = "newer-first", value = "true")
    private boolean newerFirst = true;

    public MetadataGraphEdge apply(MetadataGraphEdge e1, MetadataGraphEdge e2) {
        int depth1 = e1.getDepth();
        int depth2 = e2.getDepth();

        if (depth1 == depth2) {
            ArtifactVersion v1 = new DefaultArtifactVersion(e1.getVersion());

      // This is not actually a problem, since the foreach only needs this.futures to be non-null
      // at the beginning of the loop.
      int i = 0;
      for (ListenableFuture<? extends InputT> future : futures) {
        int index = i++;
        if (future.isDone()) {
          processAllMustSucceedDoneFuture(index, future);
        } else {
          future.addListener(

#include "tensorflow/core/protobuf/tensorflow_server.pb.h"

namespace {

using ::tensorflow::string;

void ReplaceTaskInServerDef(tensorflow::ServerDef* server_def, int task_index) {
  tensorflow::JobDef* job_def = server_def->mutable_cluster()->mutable_job(0);
  int port = tensorflow::testing::PickUnusedPortOrDie();
  job_def->mutable_tasks()->at(task_index) =
      tensorflow::strings::StrCat("localhost:", port);
}

////

//// tab | Python 3.8+

```Python hl_lines="1  4"
{!> ../../docs_src/python_types/tutorial007.py!}
```

////

This means:

* The variable `items_t` is a `tuple` with 3 items, an `int`, another `int`, and a `str`.
* The variable `items_s` is a `set`, and each of its items is of type `bytes`.

#### Dict

To define a `dict`, you pass 2 type parameters, separated by commas.

      hitCount++
    }
  }

  @Synchronized internal fun trackConditionalCacheHit() {
    hitCount++
  }

  @Synchronized fun networkCount(): Int = networkCount

  @Synchronized fun hitCount(): Int = hitCount

  @Synchronized fun requestCount(): Int = requestCount

  private inner class RealCacheRequest(
    private val editor: DiskLruCache.Editor,
  ) : CacheRequest {

				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobKV) Msgsize() (s int) {
	s = 1 + 4 + msgp.StringPrefixSize + len(z.Key) + 6 + msgp.StringPrefixSize + len(z.Value)
	return
}

// DecodeMsg implements msgp.Decodable
func (z *BatchJobNotification) DecodeMsg(dc *msgp.Reader) (err error) {

		}
	}
}

// PrintResponse implement Logger
func (log *minioLogger) PrintResponse(sessionID string, code int, message string) {
	if serverDebugLog {
		fmt.Printf("%s < %d %s\n", sessionID, code, message)
	}
}

func startFTPServer(args []string) {
	var (
		port          int
		publicIP      string
		portRange     string
		tlsPrivateKey string
		tlsPublicCert string
	)

	var err error