HashTestUtils.assertInvariants(Hashing.fingerprint2011());
    assertEquals("Hashing.fingerprint2011()", Hashing.fingerprint2011().toString());
  }

  @AndroidIncompatible // slow TODO(cpovirk): Maybe just reduce iterations under Android.
  public void testGoodFastHash() {
    for (int i = 1; i < 200; i += 17) {
      HashFunction hasher = Hashing.goodFastHash(i);
      assertTrue(hasher.bits() >= i);

  }

  @VisibleForTesting
  @WeakOuter
  final class ValueSet extends Sets.ImprovedAbstractSet<V> {
    /*
     * We currently use a fixed load factor of 1.0, a bit higher than normal to reduce memory
     * consumption.
     */

    @ParametricNullness private final K key;
    @VisibleForTesting @Nullable ValueEntry<K, V>[] hashTable;
    private int size = 0;
    private int modCount = 0;

 * entry's state at the time of retrieval; such entries do, however, support {@link
 * Map.Entry#setValue}, which simply calls {@link Map#put} on the entry's key.
 *
 * <p>The maps produced by {@code MapMaker} are serializable, and the deserialized maps retain all
 * the configuration properties of the original map. During deserialization, if the original map had

      currentWaiter.unpark();
    }
  }

  // Gets and Timed Gets
  //
  // * Be responsive to interruption
  // * Don't create Waiter nodes if you aren't going to park, this helps reduce contention on
  //   waitersField.
  // * Future completion is defined by when #valueField becomes non-null/non DelegatingToFuture
  // * Future completion can be observed if the waitersField field contains a TOMBSTONE

    val refusedConnection = url.openConnection() as HttpURLConnection
    assertFailsWith<ConnectException> {
      refusedConnection.getResponseCode()
    }.also { expected ->
      assertThat(expected.message!!).contains("refused")
    }
  }

  @Test
  fun http100Continue() {
    server.enqueue(MockResponse().setBody("response"))
    val url = server.url("/").toUrl()
    val connection = url.openConnection() as HttpURLConnection

 *   <li>The {@code copyOf} methods will sometimes recognize that the actual copy operation is
 *       unnecessary; for example, {@code copyOf(copyOf(anArrayList))} should copy the data only
 *       once. This reduces the expense of habitually making defensive copies at API boundaries.
 *       However, the precise conditions for skipping the copy operation are undefined.

* **Rápido de programar**: Aumenta la velocidad para desarrollar funcionalidades en aproximadamente un 200% a 300%. *
* **Menos bugs**: Reduce en aproximadamente un 40% los errores inducidos por humanos (desarrolladores). *

      </dependency>
      <!--
      We moved away from using dependencyManagement for test-only deps because of https://github.com/google/guava/issues/6654.
      We could probably have resumed it after https://github.com/google/guava/pull/6664.
      But it's always weird that published poms reference test-only libraries at all, so I'm not in any rush to do so.
      -->
    </dependencies>

      </dependency>
      <!--
      We moved away from using dependencyManagement for test-only deps because of https://github.com/google/guava/issues/6654.
      We could probably have resumed it after https://github.com/google/guava/pull/6664.
      But it's always weird that published poms reference test-only libraries at all, so I'm not in any rush to do so.
      -->
    </dependencies>

 * - Structured JSON logging
 * - Sensitive data masking
 * - Event categorization
 * - Performance metrics
 * - Compliance-ready audit trail
 * - Asynchronous logging with bounded queue
 * - Object pooling to reduce GC pressure
 */
public class SecurityAuditLogger {

    private static final Logger auditLog = LoggerFactory.getLogger("SECURITY.AUDIT");