// 2. Wait for response
                    // 3. Process changes
                    // 4. Notify the lease manager

                    // Use adaptive polling interval based on activity
                    long pollInterval = determinePollInterval(handle);
                    Thread.sleep(pollInterval);

                    // Check if still active

    private static final Logger log = LoggerFactory.getLogger(WitnessClient.class);

    // Polling and backoff constants (in ms)
    private static final long MAX_POLL_INTERVAL = 5000; // Normal polling: max 5 seconds
    private static final long MAX_ERROR_BACKOFF = 30000; // Error polling: max 30 seconds
    private static final long BASE_POLL_INTERVAL = 1000;
    private static final long BASE_ERROR_DELAY = 1000;

         */
        protected Queue<OpenSearchUrlQueue> crawlingQueue = new ConcurrentLinkedQueue<>();
    }

    /**
     * Sets the polling fetch size.
     * @param pollingFetchSize The polling fetch size.
     */
    public void setPollingFetchSize(final int pollingFetchSize) {
        this.pollingFetchSize = pollingFetchSize;
    }

    /**

            crawler.getCrawlerContext().setNumOfThread(numOfThread);
            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 {

            crawler.getCrawlerContext().setNumOfThread(numOfThread);
            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 {

efficiently makes your stuff load faster and saves bandwidth.

OkHttp is an HTTP client that’s efficient by default:

 * HTTP/2 support allows all requests to the same host to share a socket.
 * Connection pooling reduces request latency (if HTTP/2 isn’t available).
 * Transparent GZIP shrinks download sizes.
 * Response caching avoids the network completely for repeat requests.

 *       next task will wait for any running callable (or pending {@code Future} returned by an
 *       {@code AsyncCallable}) to complete, without interrupting it (and without calling {@code
 *       cancel} on the {@code Future}). So beware: <i>Even if you cancel every preceding {@code
 *       Future} returned by this class, the next task may still have to wait.</i>.

   * to all callers.
   *
   * If computing multiple values is problematic, use an appropriate concurrency mechanism in your
   * [computeIfAbsent] implementation. No locks are held while calling this function.
   */
  fun <T : Any> tag(
    type: KClass<T>,
    computeIfAbsent: () -> T,
  ): T

  /**
   * Returns the tag attached with [type] as a key. If it is absent, then [computeIfAbsent] is

	data []byte
}

func (r *testOneByteReadNoEOF) Read(p []byte) (n int, err error) {
	if r.eof {
		return 0, io.EOF
	}
	n = copy(p, r.data)
	r.eof = true
	return n, nil
}

// Wrapper for calling testMakeBucket for both Erasure and FS.
func TestMakeBucket(t *testing.T) {
	ExecObjectLayerTest(t, testMakeBucket)
}

// Tests validate bucket creation.

An example could be that you have an external authentication provider that you need to call.

You send it a token and it returns an authenticated user.

This provider might be charging you per request, and calling it might take some extra time than if you had a fixed mock user for tests.

You probably want to test the external provider once, but not necessarily call it for every test that runs.