//                                                                              Finish
    //                                                                              ======
    @Override
    public void finish() {
        rollback();
    }

    // ===================================================================================

                throw new GradleException(String.format("Could not convert javadoc comment to docbook.%nClass: %s%nComment: %s", classMetaData, rawCommentText), e);
            }
        } finally {
            listener.finish();
        }
    }

    public DocComment parse(final PropertyMetaData propertyMetaData, final GenerationListener listener) {
        listener.start(String.format("property %s", propertyMetaData));
        try {

   *
   * @param executor the executor to modify to make sure it exits when the application is finished
   * @param terminationTimeout how long to wait for the executor to finish before terminating the
   *     JVM
   * @param timeUnit unit of time for the time parameter
   * @return an unmodifiable version of the input which will not hang the JVM
   */
  @J2ktIncompatible

  @Override
  public void setUp() {
    threadPool = newCachedThreadPool();
  }

  @Override
  public void tearDown() throws InterruptedException {
    threadPool.shutdown();
    assertTrue("Some worker didn't finish in time", threadPool.awaitTermination(10, SECONDS));
  }

  private static <T> int drain(
      BlockingQueue<T> q,
      Collection<? super T> buffer,
      int maxElements,
      long timeout,

   * missRate =~ 1.0}. Cache misses include all requests which weren't cache hits, including
   * requests which resulted in either successful or failed loading attempts, and requests which
   * waited for other threads to finish loading. It is thus the case that {@code missCount >=
   * loadSuccessCount + loadExceptionCount}. Multiple concurrent misses for the same key will result
   * in a single load operation.
   */
  public double missRate() {

   * missRate =~ 1.0}. Cache misses include all requests which weren't cache hits, including
   * requests which resulted in either successful or failed loading attempts, and requests which
   * waited for other threads to finish loading. It is thus the case that {@code missCount >=
   * loadSuccessCount + loadExceptionCount}. Multiple concurrent misses for the same key will result
   * in a single load operation.
   */
  public double missRate() {

  }

  /**
   * Returns a future that delegates to this future but will finish early (via a {@link
   * TimeoutException} wrapped in an {@link ExecutionException}) if the specified timeout expires.
   * If the timeout expires, not only will the output future finish, but also the input future
   * ({@code this}) will be cancelled and interrupted.
   *

                } catch (ArtifactResolutionException e) {
                    result.addMetadataResolutionException(e);
                }
            }

            fireEvent(ResolutionListener.FINISH_PROCESSING_CHILDREN, listeners, node);
        }
    }

    private void manageArtifact(
            ResolutionNode node, ManagedVersionMap managedVersions, List<ResolutionListener> listeners) {

    boolean lockAcquired = tryLockUninterruptibly(lock, 500, MILLISECONDS);

    assertFalse(lockAcquired);
    assertAtLeastTimePassed(stopwatch, 500);
    assertNotInterrupted();

    // finish locking thread
    lockThread.interrupt();
  }

  public void testTryLockTimeoutNotExceeded() {
    Stopwatch stopwatch = Stopwatch.createStarted();
    Lock lock = new ReentrantLock();

  @Override
  public void setUp() {
    threadPool = newCachedThreadPool();
  }

  @Override
  public void tearDown() throws InterruptedException {
    threadPool.shutdown();
    assertTrue("Some worker didn't finish in time", threadPool.awaitTermination(10, SECONDS));
  }

  private static <T> int drain(
      BlockingQueue<T> q,
      Collection<? super T> buffer,
      int maxElements,
      long timeout,