checkFromStringCase("192.0.2.2:૮૩", 77, null, -1, false);
    checkFromStringCase("[2001::2]:૮૫", 77, null, -1, false);
  }

  public void testFromStringBadPort() {
    // Out-of-range ports.
    checkFromStringCase("google.com:65536", 1, null, 99, false);
    checkFromStringCase("google.com:9999999999", 1, null, 99, false);
    // Invalid port parts.

	if objectAPI == nil || globalNotificationSys == nil {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return nil, auth.Credentials{}
	}

	for _, action := range actions {
		// Validate request signature.
		cred, adminAPIErr := checkAdminRequestAuth(ctx, r, action, "")
		switch adminAPIErr {
		case ErrNone:
			return objectAPI, cred
		case ErrAccessDenied:
			// Try another

	for i, format := range formats {
		if format == nil {
			continue
		}
		h := sha256.New()
		for _, set := range format.Erasure.Sets {
			for _, diskID := range set {
				h.Write([]byte(diskID))
			}
		}
		formatHashes[i] = hex.EncodeToString(h.Sum(nil))
	}

	formatCountMap := make(map[string]int)
	for _, hash := range formatHashes {
		if hash == "" {
			continue

* Added anti-affinity to kube-dns pods. Otherwise the "no single point of failure" setting doesn't actually work (a single node failure can still take down the entire cluster). ([#57683](https://github.com/kubernetes/kubernetes/pull/57683), [@vainu-arto](https://github.com/vainu-arto))

### API-Machinery

import com.google.common.collect.Maps;
import com.google.common.collect.Multimap;
import com.google.common.collect.Multiset;
import com.google.common.collect.Ordering;
import com.google.common.collect.Range;
import com.google.common.collect.RowSortedTable;
import com.google.common.collect.SetMultimap;
import com.google.common.collect.SortedMultiset;
import com.google.common.collect.Table;

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

   * </ul>
   *
   * <p>Among the further improvements that {@code LoadingCache} can provide but this method cannot:
   *
   * <ul>
   *   <li>consolidation of the loader logic to {@linkplain CacheBuilder#build(CacheLoader) a single
   *       authoritative location}
   *   <li>{@linkplain LoadingCache#refresh refreshing of entries}, including {@linkplain
   *       CacheBuilder#refreshAfterWrite automated refreshing}

  }

  private fun serveConnection(raw: Socket) {
    taskRunner.newQueue().execute("MockWebServer ${raw.remoteSocketAddress}", cancelable = false) {
      try {
        SocketHandler(raw).handle()
      } catch (e: IOException) {
        logger.fine("$this connection from ${raw.inetAddress} failed: $e")
      } catch (e: Exception) {

   * with this ThreadFactory.
   *
   * @param nameFormat a {@link String#format(String, Object...)}-compatible format String, to which
   *     a unique integer (0, 1, etc.) will be supplied as the single parameter. This integer will
   *     be unique to the built instance of the ThreadFactory and will be assigned sequentially. For
   *     example, {@code "rpc-pool-%d"} will generate thread names like {@code "rpc-pool-0"}, {@code

)

var tformats = []string{
	layoutYear,
	layoutMonth,
	layoutDay,
	layoutMinute,
	layoutSecond,
	layoutNanosecond,
}

func parseSQLTimestamp(s string) (t time.Time, err error) {
	for _, f := range tformats {
		t, err = time.Parse(f, s)
		if err == nil {
			break
		}
	}
	return
}

// FormatSQLTimestamp - returns the a string representation of the
// timestamp as used in S3 Select