*       hand, is multiple-use, and does implement {@link Iterable}.
 *   <li>Streams offer many features not found here, including {@code min/max}, {@code distinct},
 *       {@code reduce}, {@code sorted}, the very powerful {@code collect}, and built-in support for
 *       parallelizing stream operations.
 *   <li>{@code FluentIterable} contains several features not available on {@code Stream}, which are

    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality:
    // benchmarking shows it can take 7 times longer than the other two in some cases. The other two
    // do n swaps, minus a delta (0 or 2 for Reversal, gcd(d, n) for Successive), so that's about

 * either of these extremes, {@code Striped} allows the user to trade between required concurrency
 * and memory footprint. For example, if a set of tasks are CPU-bound, one could easily create a
 * very compact {@code Striped<Lock>} of {@code availableProcessors() * 4} stripes, instead of
 * possibly thousands of locks which could be created in a {@code Map<K, Lock>} structure.
 *
 * @author Dimitris Andreou
 * @since 13.0

    // (b) Waiting for the single guard to become satisfied.
    // (c) Occupying the monitor and awaiting the tearDownLatch.
    //
    // Except for (c), every thread should occupy the monitor very briefly, and every thread leaves
    // the monitor with the guard satisfied. Therefore as soon as tearDownLatch is triggered, we
    // should be able to enter the monitor, and then we set the guard to satisfied for the benefit

      ServiceManager manager = new ServiceManager(services);
      manager.startAsync().awaitHealthy();
      manager.stopAsync().awaitStopped(10, SECONDS);
    }
  }

  /**
   * This service will shut down very quickly after stopAsync is called and uses a background thread
   * so that we know that the stopping() listeners will execute on a different thread than the
   * terminated() listeners.
   */

import org.junit.jupiter.api.Assertions.fail
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension

class HeldCertificateTest {
  @RegisterExtension
  var platform = PlatformRule()

  @Test
  fun defaultCertificate() {
    val now = System.currentTimeMillis()
    val heldCertificate = HeldCertificate.Builder().build()
    val certificate = heldCertificate.certificate

        assertEquals(0, flags);
    }

    @Test
    @DisplayName("Should handle maximum path length")
    void testMaximumPathLength() throws Exception {
        // Given - Create a very long path
        StringBuilder longPathBuilder = new StringBuilder("\\\\server\\");
        for (int i = 0; i < 1000; i++) {
            longPathBuilder.append("a");
        }

        fileNameField.setAccessible(true);
        assertEquals("", fileNameField.get(emptyNameRequest));

        // Test with long fileName
        String longFileName = "very-long-file-name-with-many-characters-that-could-potentially-cause-issues.txt";
        Smb2CloseRequest longNameRequest = new Smb2CloseRequest(mockConfig, testFileId, longFileName);

@Tag("Slow")
class InterceptorTest {
  @RegisterExtension
  val clientTestRule = OkHttpClientTestRule()

  @StartStop
  private val server = MockWebServer()

  private var client = clientTestRule.newClient()
  private val callback = RecordingCallback()

  @Test
  fun applicationInterceptorsCanShortCircuitResponses() {
    server.close() // Accept no connections.
    val request =

  Docker:         v1.11.2
  Changelog (vs 55-8872-18-0)
    * Cherry-pick runc PR#608: Eliminate redundant parsing of mountinfo
    * Updated kubernetes to v1.4.5
    * Fixed a bug in e2fsprogs that caused mke2fs to take a very long time. Upstream fix: http://git.kernel.org/cgit/fs/ext2/e2fsprogs.git/commit/?h=next&id=d33e690fe7a6cbeb51349d9f2c7fb16a6ebec9c2
```