public <T> T[] toArray(T[] a) {
    E[] items = this.items;
    Monitor monitor = this.monitor;
    monitor.enter();
    try {
      if (a.length < count) a = ObjectArrays.newArray(a, count);

      int k = 0;
      int i = takeIndex;
      while (k < count) {
        // This cast is not itself safe, but the following statement
        // will fail if the runtime type of items[i] is not assignable

     */
    private void incrementFailureCount(ChangeNotificationHandle handle) {
        failureCounts.compute(handle.getDirectoryPath(), (path, count) -> count == null ? 1 : count + 1);
    }

    /**
     * Reset failure count for a handle (called on successful operations)
     *
     * @param handle notification handle
     */
    private void resetFailureCount(ChangeNotificationHandle handle) {

        }

        try {
            // In real implementation, this would perform RDMA read into the buffer
            // For skeleton implementation, simulate reading the requested amount
            int bytesToRead = Math.min(length, buffer.remaining());

            // Simulate RDMA read operation

   * UnsupportedOperationException."
   */
  abstract void setCountNoCheckReturnValue(E element, int count);

  private void assertSetCountIncreasingFailure(E element, int count) {
    try {
      setCountNoCheckReturnValue(element, count);
      fail("a call to multiset.setCount() to increase an element's count should throw");
    } catch (UnsupportedOperationException expected) {
    }
  }

  /** Counts the bytes in the given input stream using skip if possible. */
  private long countBySkipping(InputStream in) throws IOException {
    long count = 0;
    long skipped;
    while ((skipped = skipUpTo(in, Integer.MAX_VALUE)) > 0) {
      count += skipped;
    }
    return count;
  }

  /**
   * Copies the contents of this byte source to the given {@code OutputStream}. Does not close
   * {@code output}.
   *

  @Override
  public int setCount(E element, int count) {
    checkIsE(element);
    checkNonnegative(count, "count");
    int index = element.ordinal();
    int oldCount = counts[index];
    counts[index] = count;
    size += count - oldCount;
    if (oldCount == 0 && count > 0) {
      distinctElements++;
    } else if (oldCount > 0 && count == 0) {
      distinctElements--;
    }
    return oldCount;

   */
  @Override
  public int hashCode() {
    return Objects.hash(count, mean, sumOfSquaresOfDeltas, min, max);
  }

  @Override
  public String toString() {
    if (count() > 0) {
      return MoreObjects.toStringHelper(this)
          .add("count", count)
          .add("mean", mean)
          .add("populationStandardDeviation", populationStandardDeviation())

And multiple processes normally **don't share any memory**. This means that each running process has its own things, variables, and memory. And if you are consuming a large amount of memory in your code, **each process** will consume an equivalent amount of memory.

### Server Memory { #server-memory }

   *
   * <ul>
   *   <li>Both {@code xStats} and {@code yStats} must have the same {@code count}.
   *   <li>If that {@code count} is 1, {@code sumOfProductsOfDeltas} must be exactly 0.0.
   *   <li>If that {@code count} is more than 1, {@code sumOfProductsOfDeltas} must be finite.
   * </ul>
   */
  PairedStats(Stats xStats, Stats yStats, double sumOfProductsOfDeltas) {

        }
        if (300 <= count) {
            logger.info("Time out: Failed to start crawler)");
            fail(); // Time Out
        }

        logger.info("Crawler is running");
        count = 0;
        isRunning = true;
        while (count < 300 && isRunning) { // Wait until the crawler terminates
            ThreadUtil.sleep(1000);
            count++;