* removeAll}, and {@code replaceValues} return collections that iterate through the values in the
 * order they were added. The collections generated by {@code entries} and {@code values} iterate
 * across the key-value mappings in the order they were added to the multimap.
 *
 * <p>The iteration ordering of the collections generated by {@code keySet}, {@code keys}, and

	existSet := set.NewStringSet()
	for _, zep := range *l {
		for _, ep := range zep.Endpoints {
			existSet.Add(ep.String())
		}
	}
	// Validate if there are duplicate endpoints across serverPools
	for _, ep := range zeps.Endpoints {
		if existSet.Contains(ep.String()) {
			return fmt.Errorf("duplicate endpoints found")
		}
	}
	*l = append(*l, zeps)
	return nil
}

 *   <li>The total entry count is available as {@link #size}.
 *   <li>Many complex operations become easier; for example, {@code
 *       Collections.min(multimap.values())} finds the smallest value across all keys.
 * </ul>
 *
 * <h3>Implementations</h3>
 *
 * <ul>
 *   <li>{@link ImmutableListMultimap}
 *   <li>{@link ImmutableSetMultimap}

// ParityCount returns the default parity count used while erasure
// coding objects
func (s *erasureSets) ParityCount() int {
	return s.defaultParityCount
}

// StorageInfo - combines output of StorageInfo across all erasure coded object sets.
func (s *erasureSets) StorageInfo(ctx context.Context) StorageInfo {
	var storageInfo madmin.StorageInfo

	storageInfos := make([]madmin.StorageInfo, len(s.sets))

		Name:      sizeDistribution,
		Help:      "Distribution of object sizes across a cluster",
		Type:      histogramMetric,
	}
}

func getClusterObjectVersionsMD() MetricDescription {
	return MetricDescription{
		Namespace: clusterMetricNamespace,
		Subsystem: objectsSubsystem,
		Name:      versionDistribution,
		Help:      "Distribution of object versions across a cluster",
		Type:      histogramMetric,
	}
}

 * removeAll}, and {@code replaceValues} return collections that iterate through the values in the
 * order they were added. The collections generated by {@code entries} and {@code values} iterate
 * across the key-value mappings in the order they were added to the multimap.
 *
 * <p>The iteration ordering of the collections generated by {@code keySet}, {@code keys}, and

        doReturn(-1).when(raf).read(any(byte[].class), anyInt(), anyInt());
        assertThrows(SmbEndOfFileException.class, () -> raf.readFully(new byte[4]));
    }

    @Test
    @DisplayName("readFully(): reads across multiple partial reads")
    void readFully_readsAll() throws Exception {
        SmbRandomAccessFile raf = spy(newInstance("r", false, false, false));
        AtomicInteger calls = new AtomicInteger();

// and stored in the resource metrics map.
// It also maintains the count of number of times this metric
// was collected since the server started, and the sum,
// average and max values across the same.
type ResourceMetric struct {
	Name   MetricName
	Labels map[string]string

	// value captured in current cycle
	Current float64

	// Used when system provides cumulative (since uptime) values

   * Creates an {@code MonitorBasedArrayBlockingQueue} with the given (fixed) capacity and the
   * specified access policy.
   *
   * @param capacity the capacity of this queue
   * @param fair if {@code true} then queue accesses for threads blocked on insertion or removal,
   *     are processed in FIFO order; if {@code false} the access order is unspecified.
   * @throws IllegalArgumentException if {@code capacity} is less than 1
   */

   */
  static final int SPLITERATOR_CHARACTERISTICS =
      Spliterator.IMMUTABLE | Spliterator.NONNULL | Spliterator.ORDERED;

  ImmutableCollection() {}

  /** Returns an unmodifiable iterator across the elements in this collection. */
  @Override
  public abstract UnmodifiableIterator<E> iterator();

  @Override
  public Spliterator<E> spliterator() {