rateLimiter.recordFailure(username, ip);

        assertTrue(rateLimiter.checkAttempt(username, ip));
        rateLimiter.recordFailure(username, ip);

        // Success should reset counter
        assertTrue(rateLimiter.checkAttempt(username, ip));
        rateLimiter.recordSuccess(username, ip);

        // Should be able to fail 3 more times before lockout
        for (int i = 0; i < 3; i++) {

                    }, isFailure);
                    fail("Should have thrown exception");
                } catch (CIFSException e) {
                    // Expected - exception is thrown but not counted as failure
                }
            }

            // NOTE: Implementation behavior - custom predicate may not prevent all state changes

        assertNotNull(component1);
        assertNotNull(component2);

        // Should be same instance for singleton
        assertSame(component1, component2);
        // The first creation should increment the counter
        assertTrue("Instance count should be at least 1", SingletonTestComponent.getInstanceCount() >= 1);
    }

    /**
     * Test wrap method
     */
    public void test_wrap_basic() {

	return mac, err
}

func (k *KMS) updateMetrics(err error, latency time.Duration) {
	// First, update the latency histogram
	// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })

- The mount-utils mounter now provides an option to limit the number of concurrent format operations. ([#115379](https://github.com/kubernetes/kubernetes/pull/115379), [@artemvmin](https://github.com/artemvmin)) [SIG API Machinery, Architecture, Auth, CLI, Cloud Provider,...

Offline Mode Design

* UPDATE: 18-April-2005

  We cannot take the approach outlined below of detecting which remote
  repositories are "really" offline, since offline mode is more of a behavior,
  and this will lead to counter-intuitive results. A different feature may exist
  unimplemented, which is to detect when the network is down and provide better
  feedback for that case. However, when offline mode is declared, nothing

   * }
   *
   * <p>Note that if any input list is empty, the Cartesian product will also be empty. If no lists
   * at all are provided (an empty list), the resulting Cartesian product has one element, an empty
   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a

     */
    public static class StatsObject extends LinkedHashMap<String, Long> {
        /** Serial version UID for serialization. */
        private static final long serialVersionUID = 1L;

        /** Atomic counter for tracking reference count across multiple threads. */
        protected final AtomicInteger count;

        /**
         * Creates a new statistics object with the current timestamp as the begin time.

 * <p>
 * There are several ways to set jCIFS properties. See
 * the <a href="../overview-summary.html#scp">overview page of the API
 * documentation</a> for details.
 */

public class Config {

    /**
     * Counter for tracking socket connections.
     */
    public static int socketCount = 0;

    /**
     * The static <code>Properties</code>.
     */

    private static Properties prp = new Properties();

   * Future}.
   *
   * <p>Usage example:
   *
   * {@snippet :
   * ListenableFuture<Integer> fetchCounterFuture = ...;
   *
   * // Falling back to a zero counter in case an exception happens when
   * // processing the RPC to fetch counters.
   * ListenableFuture<Integer> faultTolerantFuture = Futures.catching(
   *     fetchCounterFuture, FetchException.class, x -> 0, directExecutor());