*
   * <p>Among the improvements that this method and {@code LoadingCache.get(K)} both provide are:
   *
   * <ul>
   *   <li>{@linkplain LoadingCache#get(Object) awaiting the result of a pending load} rather than
   *       starting a redundant one
   *   <li>eliminating the error-prone caching boilerplate
   *   <li>tracking load {@linkplain #stats statistics}
   * </ul>
   *

            return false;
          }

          @Override
          public Integer getResult() {
            return seen;
          }
        };
    assertEquals(
        "processLine was called more than once",
        1,
        CharStreams.readLines(r, alwaysFalse).intValue());

    // Test a LineProcessor that always returns true.
    r = new StringReader(text);
    LineProcessor<Integer> alwaysTrue =

		// Decrement ref count since we failed to get the lock
		n.lockMapMutex.Lock()
		n.lockMap[resource].ref--
		if n.lockMap[resource].ref < 0 {
			logger.CriticalIf(GlobalContext, errors.New("resource reference count was lower than 0"))
		}
		if n.lockMap[resource].ref == 0 {
			// Remove from the map if there are no more references.
			delete(n.lockMap, resource)
		}
		n.lockMapMutex.Unlock()
	}

	return locked
}

 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage
 * collector by only using a constant number of internal objects.
 *

 * calling {@link #finishToFuture()}. All objects the pipeline has captured for closing will begin
 * to be closed asynchronously <b>after</b> the returned {@code Future} is done: the future
 * completes before closing starts, rather than once it has finished.
 *
 * {@snippet :
 * FluentFuture<UserName> userName =
 *     ClosingFuture.submit(
 *             closer -> closer.eventuallyClose(database.newTransaction(), closingExecutor),

 * (i.e. it requires the collection instance under test to be a certain size for the test to run).
 * Note that this means a test should not require more than one CollectionSize, since a particular
 * collection instance can only be one size at once.
 *
 * @author George van den Driessche
 */
@SuppressWarnings("rawtypes") // maybe avoidable if we rework the whole package?

     * the uniformly-distributed random integer, then truncates any fractional
     * part, so higher integers would appear (in this case linearly) more often
     * than lower ones.
     */
    return (int) Math.pow(a, 1.0 / concentration);
  }

  @AfterExperiment
  void tearDown() {
    double req = requests.get();
    double hit = req - misses.get();

 * (i.e. it requires the collection instance under test to be a certain size for the test to run).
 * Note that this means a test should not require more than one CollectionSize, since a particular
 * collection instance can only be one size at once.
 *
 * @author George van den Driessche
 */
@SuppressWarnings("rawtypes") // maybe avoidable if we rework the whole package?

        }
    }

    private
    fun cleanupDistributionCaches(workerDir: Directory, gradleVersion: GradleVersion) {
        // Expire cache snapshots of test Gradle distributions that are older than the tested version
        // Also expire version-specific cache snapshots when they can't be re-used (for 'snapshot-1' developer builds)
        val expireDistributionCache = Spec<GradleVersion> { candidateVersion ->

        }
    }

    @Test
    void testConstructorWithLongKey() throws NoSuchAlgorithmException {
        // Test constructor with a key longer than BLOCK_LENGTH (64 bytes)
        try (MockedStatic<Crypto> mockedCrypto = mockStatic(Crypto.class)) {
            mockedCrypto.when(Crypto::getMD5).thenReturn(mockMd5);
            HMACT64 hmac = new HMACT64(LONG_TEST_KEY);