* and returns it.
   */
  fun <T : ConnectionEvent> removeUpToEvent(eventClass: Class<T>): T {
    val fullEventSequence = eventSequence.toList()
    try {
      while (true) {
        val event = takeEvent()
        if (eventClass.isInstance(event)) {
          return eventClass.cast(event)
        }
      }
    } catch (e: NoSuchElementException) {

  }

  private static boolean isWellFormedSlowPath(byte[] bytes, int off, int end) {
    int index = off;
    while (true) {
      int byte1;

      // Optimize for interior runs of ASCII bytes.
      do {
        if (index >= end) {
          return true;
        }
      } while ((byte1 = bytes[index++]) >= 0);

      if (byte1 < (byte) 0xE0) {
        // Two-byte form.
        if (index == end) {

        // Add a child
        entry.updateChild(childName, 1024L, 1000L, false, 0x20, 500L, 800L);
        assertTrue(entry.hasChild(childName));

        // Remove the child
        entry.removeChild(childName);
        assertFalse(entry.hasChild(childName));
        assertTrue(entry.hasChanges());

        // Remove non-existent child - should not change state

    return stream.readInt();
  }

  /**
   * Stores the contents of a map in an output stream, as part of serialization. It does not support
   * concurrent maps whose content may change while the method is running.
   *
   * <p>The serialized output consists of the number of entries, first key, first value, second key,
   * second value, and so on.
   */

 * and specifies the combination modes that control how XML elements are merged.</p>
 *
 * <p>The merger supports two main types of combinations:</p>
 * <ul>
 *   <li>Children combination: Controls how child elements are combined</li>
 *   <li>Self combination: Controls how the element itself is combined</li>
 * </ul>
 *
 * <p>Children combination modes (specified by {@code combine.children} attribute):</p>
 * <ul>

      }
      List<Element> tmp = new ArrayList<>(elementsInSet);
      shuffle(tmp, random);
      queryList.addAll(tmp.subList(0, extras));
    }

    // now add bad queries
    while (queryList.size() < numQueries) {
      Element candidate = newElement();
      if (!elementsInSet.contains(candidate)) {
        queryList.add(candidate);
      }
    }
    shuffle(queryList, random);

    Interruptenator(Thread interruptee, long everyMillis) {
      this.everyMillis = everyMillis;
      this.interruptee = interruptee;
    }

    @Override
    public void run() {
      while (true) {
        try {
          Thread.sleep(everyMillis);
        } catch (InterruptedException e) {
          // ok. just stop sleeping.
        }
        if (shouldStop) {
          break;
        }

   */
  protected final void notifyStarted() {
    monitor.enter();
    try {
      // We have to examine the internal state of the snapshot here to properly handle the stop
      // while starting case.
      if (snapshot.state != STARTING) {
        IllegalStateException failure =
            new IllegalStateException(
                "Cannot notifyStarted() when the service is " + snapshot.state);

    if (byteCount == 0L) {
      writer.data(outFinished, streamId, buffer, 0)
      return
    }

    var byteCount = byteCount
    while (byteCount > 0L) {
      var toWrite: Int
      withLock {
        try {
          while (writeBytesTotal >= writeBytesMaximum) {
            // Before blocking, confirm that the stream we're writing is still open. It's possible

  @CanIgnoreReturnValue
  private Map<R, V> removeColumn(@Nullable Object column) {
    Map<R, V> output = new LinkedHashMap<>();
    Iterator<Entry<R, Map<C, V>>> iterator = backingMap.entrySet().iterator();
    while (iterator.hasNext()) {
      Entry<R, Map<C, V>> entry = iterator.next();
      V value = entry.getValue().remove(column);
      if (value != null) {
        output.put(entry.getKey(), value);