* the updated response if it has changed, or a short 'not modified' response if the client's copy
 * is still valid. Such responses increment both the network count and hit count.
 *
 * The best way to improve the cache hit rate is by configuring the web server to return cacheable
 * responses. Although this client honors all [HTTP/1.1 (RFC 7234)][rfc_7234] cache headers, it
 * doesn't cache partial responses.
 *
 * ## Force a Network Response
 *

 * StatsAccumulator#add} and {@link StatsAccumulator#addAll} methods. For tests of the {@link
 * StatsAccumulator#snapshot} method which returns {@link Stats} instances, see {@link StatsTest}.
 *
 * @author Pete Gillin
 */
@NullUnmarked
public class StatsAccumulatorTest extends TestCase {

  private StatsAccumulator emptyAccumulator;
  private StatsAccumulator emptyAccumulatorByAddAllEmptyIterable;

                if (canon.equalsIgnoreCase(f.canon)) {
                    try {
                        ret = getAddress().equals(f.getAddress());
                    } catch (final UnknownHostException uhe) {
                        ret = getServer().equalsIgnoreCase(f.getServer());
                    }
                    return ret;
                }
            }
        }

        return false;
    }
    /*

    Closer closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return countBySkipping(in);
    } catch (IOException e) {
      // skip may not be supported... at any rate, try reading
    } finally {
      closer.close();
    }

    closer = Closer.create();
    try {
      InputStream in = closer.register(openStream());
      return ByteStreams.exhaust(in);

 * calculate <i>only</i> the mean.
 *
 * <p><b>Java 8+ users:</b> If you are not using any of the variance statistics, you may wish to use
 * built-in JDK libraries instead of this class.
 *
 * @author Pete Gillin
 * @author Kevin Bourrillion
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class Stats implements Serializable {

  private final long count;
  private final double mean;

	VPDPWSSDS Z25, Z12, K2, Z17                        // 62821d4a53c9
	VPDPWSSDS 17(SP), Z12, K2, Z17                     // 62e21d4a538c2411000000
	VPDPWSSDS -17(BP)(SI*4), Z12, K2, Z17              // 62e21d4a538cb5efffffff

	VRSQRT28SS -7(CX)(DX*4), X2, K1, X1                // 62f26d09cd8c91f9ffffff or 62f26d29cd8c91f9ffffff or 62f26d49cd8c91f9ffffff

   *
   * <p>See http://en.wikipedia.org/wiki/Bloom_filter#Probability_of_false_positives for the
   * formula.
   *
   * @param n expected insertions (must be positive)
   * @param p false positive rate (must be 0 < p < 1)
   */
  @VisibleForTesting
  static long optimalNumOfBits(long n, double p) {
    if (p == 0) {
      p = Double.MIN_VALUE;
    }
    return (long) (-n * Math.log(p) / SQUARED_LOG_TWO);

	VAESENCLAST 7(SI)(DI*1), Z8, Z11                   // 62723d48dd9c3e07000000 or 6272bd48dd9c3e07000000
	VAESENCLAST 15(DX)(BX*8), Z8, Z11                  // 62723d48dd9cda0f000000 or 6272bd48dd9cda0f000000

Nesse caso, seria melhor ter apenas 2 servidores e usar uma porcentagem maior de seus recursos (CPU, memória, disco, largura de banda de rede, etc).