"google.golang.org/protobuf/proto"
	v1 "k8s.io/api/core/v1"

	"istio.io/istio/pkg/monitoring"
	"istio.io/istio/pkg/zdsapi"
)

var (
	ztunnelKeepAliveCheckInterval = 5 * time.Second
	readWriteDeadline             = 5 * time.Second
)

var ztunnelConnected = monitoring.NewGauge("ztunnel_connected",
	"number of connections to ztunnel")

type ZtunnelServer interface {
	Run(ctx context.Context)

		qCache:          newQueueCache(r),
		pCache:          newProxyStatsCache(),
		srStats:         newSRStats(),
		movingAvgTicker: time.NewTicker(2 * time.Second),
		wTimer:          time.NewTicker(2 * time.Second),
		qTimer:          time.NewTicker(2 * time.Second),

		workers:  newActiveWorkerStat(r),
		registry: r,
	}
	go rs.collectWorkerMetrics(ctx)
	go rs.collectQueueMetrics(ctx)
	return &rs
}

  }

  @Override
  V checkValue(V value) {
    return checkNotNull(value);
  }

  /**
   * @serialData the key class, value class, number of entries, first key, first value, second key,
   *     second value, and so on.
   */
  @GwtIncompatible // java.io.ObjectOutputStream
  private void writeObject(ObjectOutputStream stream) throws IOException {
    stream.defaultWriteObject();

### Timing-Angriffe

Aber was ist ein „Timing-Angriff“?

Stellen wir uns vor, dass einige Angreifer versuchen, den Benutzernamen und das Passwort zu erraten.

Und sie senden eine Anfrage mit dem Benutzernamen `johndoe` und dem Passwort `love123`.

Dann würde der Python-Code in Ihrer Anwendung etwa so aussehen:

```Python
if "johndoe" == "stanleyjobson" and "love123" == "swordfish":
    ...

  }

  @Override
  V checkValue(V value) {
    return checkNotNull(value);
  }

  /**
   * @serialData the key class, value class, number of entries, first key, first value, second key,
   *     second value, and so on.
   */
  @GwtIncompatible // java.io.ObjectOutputStream
  private void writeObject(ObjectOutputStream stream) throws IOException {
    stream.defaultWriteObject();

       * columns in the first row, the columns in the second row, etc. If a column Comparator is
       * provided but a row Comparator isn't, cellSet() iterates across the rows in the first
       * column, the rows in the second column, etc.
       */
      Comparator<Cell<R, C, V>> comparator =
          (Cell<R, C, V> cell1, Cell<R, C, V> cell2) -> {

		throughputHighestGet := uint64(0)
		throughputHighestPut := uint64(0)
		var throughputHighestResults []SpeedTestResult

		sendResult := func() {
			var result madmin.SpeedTestResult

			durationSecs := opts.duration.Seconds()

			result.GETStats.ThroughputPerSec = throughputHighestGet / uint64(durationSecs)
			result.GETStats.ObjectsPerSec = throughputHighestGet / uint64(opts.objectSize) / uint64(durationSecs)

    github_event = PartialGitHubEvent.parse_raw(contents)

    # Avoid race conditions with multiple labels
    sleep_time = random.random() * 10  # random number between 0 and 10 seconds
    logging.info(
        f"Sleeping for {sleep_time} seconds to avoid "
        "race conditions and multiple comments"
    )
    time.sleep(sleep_time)

    # Get PR
    logging.debug(f"Processing PR: #{github_event.pull_request.number}")

    /**
     * Determines which of the specified versions of an artifact to use when there are conflicting declarations.
     *
     * @param node1 the first artifact declaration
     * @param node2 the second artifact declaration
     * @return the artifact declaration to use: <code>node1</code>; <code>node2</code>; or <code>null</code>if
     *         this conflict cannot be resolved
     * @since 3.0
     */

  ): RecordedRequest? = requestQueue.poll(timeout, unit)

  /**
   * Scripts [response] to be returned to a request made in sequence. The first request is
   * served by the first enqueued response; the second request by the second enqueued response; and
   * so on.
   *
   * @throws ClassCastException if the default dispatcher has been
   * replaced with [setDispatcher][dispatcher].
   */