}

    /**
     * Checks if the crawler is currently running.
     *
     * @return true if the crawler is running, false otherwise
     */
    public boolean isCrawlerRunning() {
        return crawlerRunning;
    }

    /**
     * Sets the crawler running status.
     *
     * @param crawlerRunning true to indicate the crawler is running, false otherwise
     */

    }

    /**
     * Checks if any processes are currently running.
     *
     * @return true if at least one process is running, false otherwise
     */
    public boolean isProcessRunning() {
        return !runningProcessMap.isEmpty();
    }

    /**
     * Checks if the process with the given session ID is currently running.
     *
     * @param sessionId unique identifier for the process session

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

package org.codelibs.fess.crawler;

/**
 * Enum representing the status of a crawler.
 * It can be INITIALIZING, RUNNING, or DONE.
 */
public enum CrawlerStatus {
    /**
     * The crawler is initializing.
     */
    INITIALIZING,

    /**
     * The crawler is currently running.
     */
    RUNNING,

    /**
     * The crawler has completed its task.
     */
    DONE;

    String result;
    if (state == DONE) {
      result = "running=[DONE]";
    } else if (state instanceof Blocker) {
      result = "running=[INTERRUPTED]";
    } else if (state instanceof Thread) {
      // getName is final on Thread, no need to worry about exceptions
      result = "running=[RUNNING ON " + ((Thread) state).getName() + "]";
    } else {
      result = "running=[NOT STARTED YET]";
    }

            final String sessionId = crawler.execute();

            // Wait for crawler to start running with polling
            long startTime = System.currentTimeMillis();
            while (crawler.crawlerContext.getStatus() != CrawlerStatus.RUNNING && System.currentTimeMillis() - startTime < 5000) {
                try {
                    Thread.sleep(50);

        }
        super.tearDown(testInfo);
    }

    @Test
    public void test_getStatus_returnsCorrectValue() {
        // Since we cannot easily create a real ClusterHealthResponse without a running cluster,
        // we'll test the class behavior through unit tests that verify the logic
        // The actual integration with ClusterHealthResponse is tested in integration tests

    private final CountDownLatch stopLatch = new CountDownLatch(1);

    private volatile boolean running = false;

    @Override
    public @Nullable Void call() throws InterruptedException {
      running = true;
      startLatch.countDown();
      stopLatch.await();
      running = false;
      return null;
    }

    void waitForStart() throws InterruptedException {

        project.findProperty("currentReleasedVersionBuildTimestamp").toString()
    )
}

val updateAgpVersions = tasks.register<UpdateAgpVersions>("updateAgpVersions") {
    comment = " Generated - Update by running `./gradlew updateAgpVersions`"
    currentGradleVersion = gradleModule.identity.version
    propertiesFile = layout.projectDirectory.file("gradle/dependency-management/agp-versions.properties")

 */
public class MockWitnessService implements AutoCloseable {
    private static final Logger log = LoggerFactory.getLogger(MockWitnessService.class);

    private ServerSocket serverSocket;
    private final AtomicBoolean running = new AtomicBoolean(false);
    private final AtomicInteger registrationCounter = new AtomicInteger(0);
    private final ConcurrentHashMap<String, MockRegistration> registrations = new ConcurrentHashMap<>();