* gigantic heap, in which case we scale by heap size.
   */
  private static long timeoutSeconds() {
    // This class can make no hard guarantees.  The methods in this class are inherently flaky, but
    // we try hard to make them robust in practice.  We could additionally try to add in a system
    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time

  static <R, C, V> RegularImmutableTable<R, C, V> forOrderedComponents(
      ImmutableList<Cell<R, C, V>> cellList,
      ImmutableSet<R> rowSpace,
      ImmutableSet<C> columnSpace) {
    // use a dense table if more than half of the cells have values
    // TODO(gak): tune this condition based on empirical evidence
    return (cellList.size() > (((long) rowSpace.size() * columnSpace.size()) / 2))

   * gigantic heap, in which case we scale by heap size.
   */
  private static long timeoutSeconds() {
    // This class can make no hard guarantees.  The methods in this class are inherently flaky, but
    // we try hard to make them robust in practice.  We could additionally try to add in a system
    // load timeout multiplier.  Or we could try to use a CPU time bound instead of wall clock time

"berori", "beroriek", "beste", "bezala", "da", "dago", "dira", "ditu", "du", "dute", "edo", "egin", "ere", "eta", "eurak", "ez", "gainera", "gu", "gutxi", "guzti", "haiei", "haiek", "haietan", "hainbeste", "hala", "han", "handik", "hango", "hara", "hari", "hark", "hartan", "hau", "hauei", "hauek", "hauetan", "hemen", "hemendik", "hemengo", "hi", "hona", "honek", "honela", "honetan", "honi", "hor", "hori", "horiei", "horiek", "horietan", "horko", "horra", "horrek", "horrela", "horretan", "horri", "hortik",...

      // return condition1 || condition2;
      if (nodeU().equals(other.nodeU())) { // check condition1
        // Here's the tricky bit. We don't have to explicitly check for condition2 in this case.
        // Why? The second half of condition2 requires that nodeV equals other.nodeU.
        // We already know that nodeU equals other.nodeU. Combined with the earlier statement,

      // return condition1 || condition2;
      if (nodeU().equals(other.nodeU())) { // check condition1
        // Here's the tricky bit. We don't have to explicitly check for condition2 in this case.
        // Why? The second half of condition2 requires that nodeV equals other.nodeU.
        // We already know that nodeU equals other.nodeU. Combined with the earlier statement,

    val server = serverListener.assertOpen()

    // Initiate a close on the client, which will schedule a hard cancel in 500 ms.
    val closeAtNanos = System.nanoTime()
    webSocket.close(1000, "goodbye", 500L)
    serverListener.assertClosing(1000, "goodbye")

    // Confirm that the hard cancel occurred after 500 ms.
    clientListener.assertFailure()
    val elapsedUntilFailure = System.nanoTime() - closeAtNanos

   */
  /*
   * The new array contains nulls, even if the old array did not. If we wanted to be accurate, we
   * would declare a return type of `@Nullable T[]`. However, we've decided not to think too hard
   * about arrays for now, as they're a mess. (We previously discussed this in the review of
   * ObjectArrays, which is the main caller of this method.)
   */

   */
  /*
   * The new array contains nulls, even if the old array did not. If we wanted to be accurate, we
   * would declare a return type of `@Nullable T[]`. However, we've decided not to think too hard
   * about arrays for now, as they're a mess. (We previously discussed this in the review of
   * ObjectArrays, which is the main caller of this method.)
   */

        return (logX2Floor < 2 * logFloor + 1) ? logFloor : logFloor + 1;
    }
    throw new AssertionError();
  }

  /*
   * The maximum number of bits in a square root for which we'll precompute an explicit half power
   * of two. This can be any value, but higher values incur more class load time and linearly
   * increasing memory consumption.
   */
  @VisibleForTesting static final int SQRT2_PRECOMPUTE_THRESHOLD = 256;