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	}
	for i := range len(z.rebalMeta.PoolStats) {
		if i == index {
			return index
		}
	}
	return -1
}

// initRebalanceMeta initializes rebalance metadata for a new rebalance
// operation and saves it in the object store.
func (z *erasureServerPools) initRebalanceMeta(ctx context.Context, buckets []string) (arn string, err error) {
	r := &rebalanceMeta{
		ID:        shortuuid.New(),

        NbtAddress addr;

        if (name.hexCode == 0x1d && svr == null) {
            svr = CLIENT.baddr; // bit of a hack but saves a lookup
        }
        name.srcHashCode = svr != null ? svr.hashCode() : 0;
        addr = getCachedAddress(name);

        if (addr == null) {
            addr = (NbtAddress) checkLookupTable(name);

        .addEqualityGroup(Collections.reverseOrder())
        .testEquals();
  }

  public void testReverseOfReverseSameAsForward() {
    // Not guaranteed by spec, but it works, and saves us from testing
    // exhaustively
    assertThat(numberOrdering.reverse().reverse()).isSameInstanceAs(numberOrdering);
  }

  private enum StringLengthFunction implements Function<String, Integer> {

        .addEqualityGroup(Collections.reverseOrder())
        .testEquals();
  }

  public void testReverseOfReverseSameAsForward() {
    // Not guaranteed by spec, but it works, and saves us from testing
    // exhaustively
    assertThat(numberOrdering.reverse().reverse()).isSameInstanceAs(numberOrdering);
  }

  private enum StringLengthFunction implements Function<String, Integer> {

implementation. We sometimes have to reject contributions that duplicate other
efforts, take the wrong approach to solving a problem, or solve a problem which
does not need solving. An up-front discussion often saves a good deal of wasted
time in these cases.

We normally immediately reject isolated PRs that only perform simple
refactorings or otherwise "tidy up" certain aspects of the code. We think the

	if retries == 5 {
		scannerLogOnceIf(ctx, fmt.Errorf("maximum retry reached to load the data usage cache `%s`", name), "retry-loading-data-usage-cache")
	}

	return nil
}

// Maximum running concurrent saves on server.
var maxConcurrentScannerSaves = make(chan struct{}, 4)

// save the content of the cache to minioMetaBackgroundOpsBucket with the provided name.
// Note that no locking is done when saving.

   */
  @J2ktIncompatible // serialization
  static class SerializedForm<K, V> implements Serializable {
    // This object retains references to collections returned by keySet() and value(). This saves
    // bytes when the both the map and its keySet or value collection are written to the same
    // instance of ObjectOutputStream.

   */
  @J2ktIncompatible // serialization
  static class SerializedForm<K, V> implements Serializable {
    // This object retains references to collections returned by keySet() and value(). This saves
    // bytes when the both the map and its keySet or value collection are written to the same
    // instance of ObjectOutputStream.

 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *
 * ```java
 * // The singleton HTTP client.