*  - The prioritisation of addresses
 *
 * https://datatracker.ietf.org/doc/html/rfc8305#section-4
 */
internal fun reorderForHappyEyeballs(addresses: List<InetAddress>): List<InetAddress> {
  if (addresses.size < 2) {
    return addresses
  }

  val (ipv6, ipv4) = addresses.partition { it is Inet6Address }

  return if (ipv6.isEmpty() || ipv4.isEmpty()) {
    addresses
  } else {
    interleave(ipv6, ipv4)
  }

	streamWg    sync.WaitGroup
	reuseBlocks bool
}

// newMetacacheWriter will create a serializer that will write objects in given order to the output.
// Provide a block size that affects latency. If 0 a default of 128KiB will be used.
// Block size can be up to 4MiB.
func newMetacacheWriter(out io.Writer, blockSize int) *metacacheWriter {
	if blockSize < 8<<10 {
		blockSize = 128 << 10
	}
	w := metacacheWriter{
		mw:        nil,

    cache.getUnchecked(KEY_PREFIX + 11);

    // collections views shouldn't expose expired entries
    assertEquals(1, Iterators.size(cache.asMap().entrySet().iterator()));
    assertEquals(1, Iterators.size(cache.asMap().keySet().iterator()));
    assertEquals(1, Iterators.size(cache.asMap().values().iterator()));

    CacheTesting.expireEntries((LoadingCache<?, ?>) cache, EXPIRING_TIME, ticker);

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ARGS="--gpus all"
TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
# TODO: Set back to 610M once the wheel size is fixed.

	if v := unsafe.Offsetof(dirent.Reclen) + unsafe.Sizeof(dirent.Reclen); uintptr(len(buf)) < v {
		return consumed, nil, typ, fmt.Errorf("buf size of %d smaller than dirent header size %d", len(buf), v)
	}
	if len(buf) < int(dirent.Reclen) {
		return consumed, nil, typ, fmt.Errorf("buf size %d < record length %d", len(buf), dirent.Reclen)
	}
	consumed = int(dirent.Reclen)
	if direntInode(dirent) == 0 { // File absent in directory.

        split(getQueryAdditionalResponseFields(), ",")
                .of(stream -> stream.filter(StringUtil::isNotBlank).map(String::trim).forEach(list::add));
        return list.toArray(new String[list.size()]);
    }

    String getQueryAdditionalScrollResponseFields();

    default String[] getQueryAdditionalScrollResponseFields(final String... fields) {

					}
				}

				if err == nil {
					bgSeq.countHealed(madmin.HealItemObject)
					result = healEntrySuccess(uint64(version.Size))
				} else {
					bgSeq.countFailed(madmin.HealItemObject)
					result = healEntryFailure(uint64(version.Size))
					if version.VersionID != "" {
						healingLogIf(ctx, fmt.Errorf("unable to heal object %s/%s (version-id=%s): %w",

 */
class HeadersReader(
  val source: BufferedSource,
) {
  private var headerLimit = HEADER_LIMIT.toLong()

  /** Read a single line counted against the header size limit. */
  fun readLine(): String {
    val line = source.readUtf8LineStrict(headerLimit)
    headerLimit -= line.length.toLong()
    return line
  }

  /** Reads headers or trailers. */

you provide into erasure-coding sets of *2 to 16* drives.  Therefore, the number of drives you present must be a multiple of one of these numbers.  Each object is written to a single erasure-coding set.

Minio uses the largest possible EC set size which divides into the number of drives given. For example, *18 drives* are configured as *2 sets of 9 drives*, and *24 drives* are configured as *2 sets of 12 drives*.  This is true for scenarios when running MinIO as a standalone erasure coded deployment....

   *
   * <p><b>Note:</b> this method does not return the number of <i>distinct elements</i> in the
   * multiset, which is given by {@code entrySet().size()}.
   */
  @Override
  int size();

  /**
   * Returns the number of occurrences of an element in this multiset (the <i>count</i> of the