sort(
          insertionOrder,
          new Comparator<V>() {
            @Override
            public int compare(V left, V right) {
              // The indexes are small enough for the subtraction trick to be safe.
              return indexOfEntryWithValue(left) - indexOfEntryWithValue(right);
            }

            int indexOfEntryWithValue(V value) {
              for (int i = 0; i < orderedEntries.size(); i++) {

	distribution := fi.Erasure.Distribution

	var inconsistent int
	for i, meta := range metaArr {
		if disks[i] == nil {
			// Assuming offline drives as inconsistent,
			// to be safe and fallback to original
			// distribution order.
			inconsistent++
			continue
		}
		if !meta.IsValid() {
			inconsistent++
			continue
		}
		if meta.XLV1 != fi.XLV1 {
			inconsistent++

				for _, lri := range lris {
					uids = append(uids, lri.UID)
				}

				// Delete collected uids:
				for _, uid := range uids {
					lris, ok := l.lockMap[resource]
					if !ok {
						// Just to be safe, delete uuids.
						for idx := 0; idx < maxDeleteList; idx++ {
							mapID := formatUUID(uid, idx)
							if _, ok := l.lockUID[mapID]; !ok {
								break
							}
							delete(l.lockUID, mapID)
						}

    public EntryComparator(@Nullable Comparator<? super K> keyComparator) {
      this.keyComparator = keyComparator;
    }

    @Override
    @SuppressWarnings("unchecked") // no less safe than putting it in the map!
    public int compare(Entry<K, V> a, Entry<K, V> b) {
      return (keyComparator == null)
          ? ((Comparable) a.getKey()).compareTo(b.getKey())

   *
   * @param value a primitive {@code float} value
   * @return a hash code for the value
   */
  public static int hashCode(float value) {
    // TODO(kevinb): is there a better way, that's still gwt-safe?
    return ((Float) value).hashCode();
  }

  /**
   * Compares the two specified {@code float} values using {@link Float#compare(float, float)}. You

 *
 * <p>As of Guava 23.0, this class is thread-safe and lock-free. It internally uses atomics and
 * compare-and-swap to ensure correctness when multiple threads are used to access it.
 *
 * @param <T> the type of instances that the {@code BloomFilter} accepts
 * @author Dimitris Andreou
 * @author Kevin Bourrillion
 * @since 11.0 (thread-safe since 23.0)
 */
@Beta
@ElementTypesAreNonnullByDefault

   *
   * @param value a primitive {@code float} value
   * @return a hash code for the value
   */
  public static int hashCode(float value) {
    // TODO(kevinb): is there a better way, that's still gwt-safe?
    return ((Float) value).hashCode();
  }

  /**
   * Compares the two specified {@code float} values using {@link Float#compare(float, float)}. You

 * Cache} interfaces. The {@code asMap} view (and its collection views) have <i>weakly consistent
 * iterators</i>. This means that they are safe for concurrent use, but if other threads modify the
 * cache after the iterator is created, it is undefined which of these changes, if any, are

import com.google.common.primitives.Doubles;

/**
 * A mutable object which accumulates paired double values (e.g. points on a plane) and tracks some
 * basic statistics over all the values added so far. This class is not thread safe.
 *
 * @author Pete Gillin
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
@ElementTypesAreNonnullByDefault
public final class PairedStatsAccumulator {

     */
    fun ping(
      ack: Boolean,
      payload1: Int,
      payload2: Int,
    )

    /**
     * The peer tells us to stop creating streams. It is safe to replay streams with
     * `ID > lastGoodStreamId` on a new connection.  In- flight streams with
     * `ID <= lastGoodStreamId` can only be replayed on a new connection if they are idempotent.
     *