int adjust = size() - 1;
      for (int i = 0; i < axes.size(); i++) {
        adjust *= 31;
        adjust = ~~adjust;
        // in GWT, we have to deal with integer overflow carefully
      }
      int hash = 1;
      for (Set<E> axis : axes) {
        hash = 31 * hash + (size() / axis.size() * axis.hashCode());

        hash = ~~hash;
      }
      hash += adjust;

    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.add(ONE_VALUE);
    for (int power = 1; power < Long.SIZE - 1; power++) {
      accumulator.addAll(accumulator.snapshot());
    }
    // Should overflow without throwing.
    accumulator.addAll(accumulator.snapshot());
    assertThat(accumulator.count()).isLessThan(0L);
  }

  public void testMean() {

   * 1}, this method has the identical effect to {@link #add(Object)}. This method is functionally
   * equivalent (except in the case of overflow) to the call {@code
   * addAll(Collections.nCopies(element, occurrences))}, which would presumably perform much more
   * poorly.
   *

         */
        Runnable localTask = requireNonNull(task);
        task = null;
        localTask.run();
        return;
      }
      // Executor called reentrantly! Make sure that further calls don't overflow stack. Further
      // reentrant calls will see that their current thread is the same as the one set in
      // latestTaskQueue, and queue rather than calling execute() directly.

    }

  private fun gzip(data: ByteArray): Buffer {
    val buffer = Buffer()
    GzipSink(buffer).buffer().write(data).close()
    return buffer
  }

  /** Create a sufficiently large header set to overflow INITIAL_MAX_FRAME_SIZE bytes.  */
  private fun largeHeaders(): List<Header> {
    val nameValues = arrayOfNulls<String>(32)
    val chars = CharArray(512)
    var i = 0
    while (i < nameValues.size) {

   * 1}, this method has the identical effect to {@link #add(Object)}. This method is functionally
   * equivalent (except in the case of overflow) to the call {@code
   * addAll(Collections.nCopies(element, occurrences))}, which would presumably perform much more
   * poorly.
   *

      /*
       * It speeds things up considerably to unconditionally add count to totalCount here,
       * but that destroys failure atomicity in the case of count overflow. =(
       */
      int cmp = comparator.compare(e, getElement());
      if (cmp < 0) {
        AvlNode<E> initLeft = left;
        if (initLeft == null) {
          result[0] = 0;

    return (byte) octet;
  }

  /** Returns a -1 if unable to parse */
  private static int tryParseDecimal(String string, int start, int end) {
    int decimal = 0;
    int max = Integer.MAX_VALUE / 10; // for int overflow detection
    for (int i = start; i < end; i++) {
      if (decimal > max) {
        return -1;
      }
      decimal *= 10;
      int digit = Character.digit(string.charAt(i), 10);
      if (digit < 0) {

ut-fixed")&&("undefined"!=typeof n.default.fn.overlayScrollbars?n.default(Le).overlayScrollbars({className:this._config.scrollbarTheme,sizeAutoCapable:!0,scrollbars:{autoHide:this._config.scrollbarAutoHide,clickScrolling:!0}}):n.default(Le).css("overflow-y","auto"))},t.fixLoginRegisterHeight=function(){var e=n.default("body"),t=n.default(".login-box, .register-box");if(e.hasClass("iframe-mode"))e.css("height","100%"),n.default(".wrapper").css("height","100%"),n.default("html").css("height","100%");else...

    i = 1 << 30;
    assertFalse(MinMaxPriorityQueue.isEvenLevel(i - 2));
    assertTrue(MinMaxPriorityQueue.isEvenLevel(i - 1));
    assertTrue(MinMaxPriorityQueue.isEvenLevel(i));

    // 1 << 31 is negative because of overflow, 1 << 31 - 1 is positive
    // since isEvenLevel adds 1, we need to do - 2.
    assertTrue(MinMaxPriorityQueue.isEvenLevel((1 << 31) - 2));
    assertTrue(MinMaxPriorityQueue.isEvenLevel(Integer.MAX_VALUE - 1));