metricsLogIf(ctx, err)
	} else if startTime > 0 {
		m.Set(processStartTimeSeconds, float64(startTime))
	}
}

func loadProcIOMetrics(ctx context.Context, io procfs.ProcIO, m MetricValues) {
	if io.RChar > 0 {
		m.Set(processIORCharBytes, float64(io.RChar))
	}

	if io.ReadBytes > 0 {
		m.Set(processIOReadBytes, float64(io.ReadBytes))
	}

	if io.WChar > 0 {
		m.Set(processIOWCharBytes, float64(io.WChar))
	}

              @Override
              public SortedSet<String> create(String[] elements) {
                SortedSet<String> set = new TreeSet<>(arbitraryNullFriendlyComparator());
                Collections.addAll(set, elements);
                return set;
              }
            })
        .named("TreeSet, with comparator")
        .withFeatures(
            SetFeature.GENERAL_PURPOSE,

import java.util.Set;

/**
 * Optional features of classes derived from {@code Set}.
 *
 * @author George van den Driessche
 */
@SuppressWarnings("rawtypes") // maybe avoidable if we rework the whole package?
@GwtCompatible
public enum SetFeature implements Feature<Set> {
  GENERAL_PURPOSE(CollectionFeature.GENERAL_PURPOSE);

  private final Set<Feature<? super Set>> implied;

		sc := bufio.NewScanner(bytes.NewBuffer(b))
		for sc.Scan() {
			object = strings.TrimSpace(sc.Text())
			set := sipHashMod(prefix+object, setCount, id)
			distrib[set] = append(distrib[set], prefix+object)
		}
		for set, files := range distrib {
			fmt.Println("Set:", set+1, "Objects:", len(files))
			if !verbose {
				continue
			}
			for _, s := range files {
				fmt.Printf("\t%s\n", s)
			}

	m.Set(replicationAverageActiveWorkers, float64(qa.Avg))
	m.Set(replicationCurrentActiveWorkers, float64(qa.Curr))
	m.Set(replicationMaxActiveWorkers, float64(qa.Max))

	if len(qs.XferStats) > 0 {
		tots := qs.XferStats[Total]
		m.Set(replicationAverageDataTransferRate, tots.Avg)
		m.Set(replicationCurrentDataTransferRate, tots.Curr)
		m.Set(replicationMaxDataTransferRate, tots.Peak)
	}

        System.out.println("Project " + project1.getId() + " " + project1);
        Set set = project1.getArtifacts();
        assertNotNull(set, "No artifacts");
        assertFalse(set.isEmpty(), "No Artifacts");
        assertTrue(set.size() == 3, "Set size should be 3, is " + set.size());

        for (Object aSet : set) {
            Artifact artifact = (Artifact) aSet;

cluster load, number of objects in the object store as well as storage speed. In addition, any bandwidth limits set via `mc admin bucket remote add` could also contribute to replication speed. The number of workers used for replication defaults to 100. Based on network bandwidth and system load, the number of workers used in replication can be configured using `mc admin config set alias api` to set the `replication_workers`. The prometheus metrics exposed by MinIO can be used to plan resource allocation...

	for _, t := range tgts {
		labels := []string{nameL, t.String(), endpointL, t.Endpoint()}
		m.Set(webhookFailedMessages, float64(t.Stats().FailedMessages), labels...)
		m.Set(webhookQueueLength, float64(t.Stats().QueueLength), labels...)
		m.Set(webhookTotalMessages, float64(t.Stats().TotalMessages), labels...)
	}

	return nil

   *
   * @param collection the elements that the set should contain
   * @return a new {@code CompactLinkedHashSet} containing those elements (minus duplicates)
   */
  public static <E extends @Nullable Object> CompactLinkedHashSet<E> create(
      Collection<? extends E> collection) {
    CompactLinkedHashSet<E> set = createWithExpectedSize(collection.size());
    set.addAll(collection);
    return set;
  }

  /**

      }
    }
    shuffle(queryList, random);
    return queryList.toArray(new Element[0]);
  }

  private Set<Element> createData() {
    Set<Element> set = Sets.newHashSetWithExpectedSize(size);
    while (set.size() < size) {
      set.add(newElement());
    }
    return set;
  }

  private Element newElement() {
    int value = random.nextInt();