| Maximum number of servers per cluster                           | no-limit      |
| Minimum number of servers                                       | 02            |
| Minimum number of drives per server when server count is 1      | 02            |
| Minimum number of drives per server when server count is 2 or 3 | 01            |
| Minimum number of drives per server when server count is 4      | 01            |

   *
   * @param host the host string to parse. Must not contain a port number.
   * @param port a port number from [0..65535]
   * @return if parsing was successful, a populated HostAndPort object.
   * @throws IllegalArgumentException if {@code host} contains a port number, or {@code port} is out
   *     of range.
   */
  public static HostAndPort fromParts(String host, int port) {

   * skipped.
   *
   * @param streamId server-initiated stream ID: an even number.
   * @param source location of data corresponding with this stream ID.
   * @param byteCount number of bytes to read or skip from the source.
   * @param last when true, there are no data frames to follow.
   */
  @Throws(IOException::class)
  fun onData(
    streamId: Int,
    source: BufferedSource,

        if (o == null) {
            return null;
        } else if (o instanceof Float) {
            return (Float) o;
        } else if (o instanceof Number) {
            return new Float(((Number) o).floatValue());
        } else if (o instanceof String) {
            return toFloat((String) o);
        } else if (o instanceof java.util.Date) {
            if (pattern != null) {

    Optional<Integer> optionalInt = getSomeOptionalInt();
    // Number value = optionalInt.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test
  public void testSampleCodeError2() {
    FluentIterable<? extends Number> numbers = getSomeNumbers();
    Optional<? extends Number> first = numbers.first();
    // Number value = first.or(0.5); // error
  }

  @SuppressWarnings("unused") // compilation test

  // The number of compression rounds.
  private final int c;
  // The number of finalization rounds.
  private final int d;
  // Two 64-bit keys (represent a single 128-bit key).
  private final long k0;
  private final long k1;

  /**
   * @param c the number of compression rounds (must be positive)
   * @param d the number of finalization rounds (must be positive)

			Description: "specify compression level of the Kafka cluster",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         target.KafkaBatchSize,
			Description: "batch size of the events; used only when queue_dir is set",
			Optional:    true,
			Type:        "number",
		},
		config.HelpKV{
			Key:         target.KafkaBatchCommitTimeout,

	ilmTransitionActiveTasksMD          = NewGaugeMD(transitionActiveTasks, "Number of active ILM transition tasks")
	ilmTransitionPendingTasksMD         = NewGaugeMD(transitionPendingTasks, "Number of pending ILM transition tasks in the queue")
	ilmTransitionMissedImmediateTasksMD = NewCounterMD(transitionMissedImmediateTasks, "Number of missed immediate ILM transition tasks")

                            "anyOf": [{"type": "string"}, {"type": "null"}],
                        },
                        "price": {"title": "Price", "type": "number"},
                        "tax": {
                            "title": "Tax",
                            "anyOf": [{"type": "number"}, {"type": "null"}],
                        },
                        "tags": {
                            "title": "Tags",

  /**
   * Computes the optimal k (number of hashes per element inserted in Bloom filter), given the
   * expected insertions and total number of bits in the Bloom filter.
   *
   * <p>See http://en.wikipedia.org/wiki/File:Bloom_filter_fp_probability.svg for the formula.
   *
   * @param n expected insertions (must be positive)
   * @param m total number of bits in Bloom filter (must be positive)
   */