"FINE: Q10000 finished run in   0 µs: task one",
    )
  }

  /**
   * The runner doesn't hold references to its queues! Otherwise we'd need a mechanism to clean them
   * up when they're no longer needed and that's annoying. Instead the task runner only tracks which
   * queues have work scheduled.
   */
  @Test fun activeQueuesContainsOnlyQueuesWithScheduledTasks() {

#
map:{
    ; String = map:{
        # [Include]
        # String columns may not be needed
        # to be set these condition-keys basically.
        #; GreaterThan = map:{}
        #; LessThan = map:{}
        #; GreaterEqual = map:{}
        #; LessEqual = map:{}

        # [Exclude]
        # Common columns of String type may not be needed
        # to be set these condition-keys basically.

 *   <li>If you manually call {@link java.util.concurrent.FutureTask#set} or a similar method,
 *       create a {@link SettableFuture} instead. (If your needs are more complex, you may prefer
 *       {@link AbstractFuture}.)
 * </ul>
 *
 * <p><b>Test doubles</b>: If you need a {@code ListenableFuture} for your test, try a {@link
 * SettableFuture} or one of the methods in the {@link Futures#immediateFuture Futures.immediate*}

 *   <li>If you manually call {@link java.util.concurrent.FutureTask#set} or a similar method,
 *       create a {@link SettableFuture} instead. (If your needs are more complex, you may prefer
 *       {@link AbstractFuture}.)
 * </ul>
 *
 * <p><b>Test doubles</b>: If you need a {@code ListenableFuture} for your test, try a {@link
 * SettableFuture} or one of the methods in the {@link Futures#immediateFuture Futures.immediate*}

   *
   * <p>The function is applied lazily, invoked when needed. This is necessary for the returned
   * table to be a view, but it means that the function will be applied many times for bulk
   * operations like {@link Table#containsValue} and {@code Table.toString()}. For this to perform
   * well, {@code function} should be fast. To avoid lazy evaluation when the returned table doesn't

    this.sortedDelegate = Collections.unmodifiableSortedSet(sortedDelegate);
  }

  @Override
  public Comparator<? super E> comparator() {
    return sortedDelegate.comparator();
  }

  @Override // needed to unify SortedIterable and Collection iterator() methods
  public UnmodifiableIterator<E> iterator() {
    return super.iterator();
  }

  @Override
  public Object[] toArray() {
    /*

   *
   * <p>Many of the filtered set's methods, such as {@code size()}, iterate across every element in
   * the underlying set and determine which elements satisfy the filter. When a live view is
   * <i>not</i> needed, it may be faster to copy {@code Iterables.filter(unfiltered, predicate)} and
   * use the copy.
   *
   * <p><b>Warning:</b> {@code predicate} must be <i>consistent with equals</i>, as documented at

      .add(KotlinJsonAdapterFactory())
      .build()

  private val handshakeCertificates = localhost()

  @StartStop
  private val server = MockWebServer()

  @BeforeEach
  fun setup() {
    // Needed because of Platform.resetForTests
    PlatformRegistry.applicationContext = ApplicationProvider.getApplicationContext<Context>()
  }

  @Test
  fun testPlatform() {
    assertTrue(Platform.isAndroid)

      return flags;
    }
  }

  /**
   * Evaluates whether the argument is a Teredo address.
   *
   * <p>Teredo addresses begin with the {@code "2001::/32"} prefix.
   *
   * @param ip {@link Inet6Address} to be examined for Teredo address format
   * @return {@code true} if the argument is a Teredo address
   */
  public static boolean isTeredoAddress(Inet6Address ip) {
    byte[] bytes = ip.getAddress();

  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of
  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0