*/
      @Override
      protected boolean tryReleaseShared(int finalState) {
        setState(finalState);
        return true;
      }

      /**
       * Blocks until the task is complete or the timeout expires. Throws a {@link TimeoutException}
       * if the timer expires, otherwise behaves like {@link #get()}.
       */
      V get(long nanos)

    val rangesOffsets = mutableListOf<Int>()
    for (i in 0 until compactTable.sections.length step 4) {
      rangesIndices += compactTable.sections.read14BitInt(i)
      rangesOffsets += compactTable.sections.read14BitInt(i + 2)
    }
    assertThat(rangesIndices).isEqualTo(rangesIndices.sorted())

    // Check the ranges.
    for (r in 0 until rangesOffsets.size) {
      val rangePos = rangesOffsets[r] * 4

    return writer
  }

  /**
   * Shortens the last frame from its original length to `length`. This will cause the peer to
   * close the socket as soon as this frame has been written; otherwise the peer stays open until
   * explicitly closed.
   */
  fun truncateLastFrame(length: Int): Http2Writer {
    val lastFrame = outFrames.removeAt(outFrames.size - 1)
    require(length < bytesOut.size - lastFrame.start)

import org.jspecify.annotations.Nullable;

/**
 * A semi-persistent mapping from keys to values. Cache entries are manually added using {@link
 * #get(Object, Callable)} or {@link #put(Object, Object)}, and are stored in the cache until either
 * evicted or manually invalidated. The common way to build instances is using {@link CacheBuilder}.
 *
 * <p>Implementations of this interface are expected to be thread-safe, and can be safely accessed

    buf.readShort() // authority record count
    buf.readShort() // additional record count

    for (i in 0 until questionCount) {
      skipName(buf) // name
      buf.readShort() // type
      buf.readShort() // class
    }

    for (i in 0 until answerCount) {
      skipName(buf) // name

      val type = buf.readShort().toInt() and 0xffff
      buf.readShort() // class

  /**
   * Returns a fluent iterable that combines two iterables. The returned iterable has an iterator
   * that traverses the elements in {@code a}, followed by the elements in {@code b}. The source
   * iterators are not polled until necessary.
   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#concat}.
   *

  /**
   * Returns a fluent iterable that combines two iterables. The returned iterable has an iterator
   * that traverses the elements in {@code a}, followed by the elements in {@code b}. The source
   * iterators are not polled until necessary.
   *
   * <p>The returned iterable's iterator supports {@code remove()} when the corresponding input
   * iterator supports it.
   *
   * <p><b>{@code Stream} equivalent:</b> {@link Stream#concat}.
   *

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application-layer must block on writing I/O. We can't return from a write until we've pushed its bytes onto the socket. Otherwise, if the write fails we are unable to deliver its IOException to the application. We would have told the application layer that the write succeeded, but it didn't!

The application-layer can also do blocking reads. If the application asks to read and there's nothing available, we need to hold that thread until either the bytes arrive, the stream is closed, or a timeout elapses....

        fail("could not start job.");
    }

    protected static void waitJob(final String namePrefix) {
        Boolean isRunning = false;
        int count = 0;

        while (count < 300 && !isRunning) { // Wait until the crawler starts
            ThreadUtil.sleep(500);
            count++;
            final Map<String, Object> scheduler = getSchedulerItem(namePrefix);
            assertTrue(scheduler.containsKey("running"));