}

  /**
   * Returns the total number of nanoseconds the cache has spent loading new values. This can be
   * used to calculate the miss penalty. This value is increased every time {@code loadSuccessCount}
   * or {@code loadExceptionCount} is incremented.
   */
  @SuppressWarnings("GoodTime") // should return a java.time.Duration
  public long totalLoadTime() {
    return totalLoadTime;

    }

    // Test #entries()
    assertCollectionIsUnmodifiable(multimap.entries(), immutableEntry(sampleKey, sampleValue));
    assertMultimapRemainsUnmodified(multimap, originalEntries);

    // Iterate over every element in the entry set
    for (Entry<K, V> entry : multimap.entries()) {
      assertMapEntryIsUnmodifiable(entry);
    }
    assertMultimapRemainsUnmodified(multimap, originalEntries);

    // Test #keys()

  }

  /**
   * Returns the total number of nanoseconds the cache has spent loading new values. This can be
   * used to calculate the miss penalty. This value is increased every time {@code loadSuccessCount}
   * or {@code loadExceptionCount} is incremented.
   */
  @SuppressWarnings("GoodTime") // should return a java.time.Duration
  public long totalLoadTime() {
    return totalLoadTime;

 * than {@code size()}. Furthermore, this structure only depends on a fixed number of arrays; {@code
 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for
 * every element added, the garbage collector will have to traverse {@code 1.5} references on
 * average, in the marking phase, not {@code 5.0} as in {@code java.util.HashSet}.
 *

In this case, it might not be a problem, because it's the same user sending the password.

But if we use the same model for another *path operation*, we could be sending our user's passwords to every client.

/// danger

Never store the plain password of a user or send it in a response like this, unless you know all the caveats and you know what you are doing.

///

## Add an output model

      checkValidState(cache);
    }
  }

  /* ---------------- Local utilities -------------- */

  /** Most of the tests in this class run against every one of these caches. */
  private Iterable<LoadingCache<Object, Object>> caches() {
    // lots of different ways to configure a LoadingCache
    CacheBuilderFactory factory = cacheFactory();
    return Iterables.transform(

		go func() {
			log.Debug("handling conn")
			if err := z.handleConn(ctx, conn); err != nil {
				log.Errorf("failed to handle conn: %v", err)
			}
		}()
	}
}

// ZDS protocol is very simple, for every message sent, and ack is sent.
// the ack only has temporal correlation (i.e. it is the first and only ack msg after the message was sent)

   * @return an array containing all of the elements in this queue
   * @throws ArrayStoreException if the runtime type of the specified array is not a supertype of
   *     the runtime type of every element in this queue
   * @throws NullPointerException if the specified array is null
   */
  @CanIgnoreReturnValue // pushed down from class to method
  @Override
  public <T> T[] toArray(T[] a) {

      }
    }
  }

  @GwtIncompatible // DoubleMath.roundToLong(double, RoundingMode)
  public void testRoundExactIntegralDoubleToLong() {
    for (double d : INTEGRAL_DOUBLE_CANDIDATES) {
      // every mode except UNNECESSARY
      BigDecimal expected = new BigDecimal(d).setScale(0, UNNECESSARY);
      boolean isInBounds =
          expected.compareTo(MAX_LONG_AS_BIG_DECIMAL) <= 0

   * 3. Tests on a mechanically generated dataset for chains starting with percentiles();
   * 4. Tests of illegal usages of the API.
   */

  /*
   * Covering every combination would lead to an explosion in the number of tests. So we cover only:
   * - median with compute taking a double-collection and with computeInPlace;