suggester.indexer().addElevateWord(elevateWord, true);
        suggester.refresh();

        // Minimal sleep to ensure timestamp separation (reduced from 2000ms to 100ms total)
        Thread.sleep(50);
        ZonedDateTime threshold = ZonedDateTime.now();
        Thread.sleep(50);

        // Index new data after threshold

 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage
 * collector by only using a constant number of internal objects.
 *
 * <p>If there are no removals, then iteration order for the {@link #entrySet}, {@link #keySet}, and

   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  @SuppressWarnings({"unchecked"}) // fully variant implementation (never actually produces any Es)
  public static <E> ImmutableSet<E> of() {
    return (ImmutableSet<E>) RegularImmutableSet.EMPTY;
  }

  /**
   * Returns an immutable set containing the given element. Preferred over {@link

        suggester.refresh();

        long oldWordsCount = suggester.getAllWordsNum();
        assertTrue(oldWordsCount > 0);

        // Minimal sleep to ensure timestamp separation (reduced from 2000ms to 100ms total)
        Thread.sleep(50);
        ZonedDateTime threshold = ZonedDateTime.now();
        Thread.sleep(50);

        // Index new data after threshold
        document = new HashMap<>();

    /**
     * Performs concurrent searches using multiple searchers and fuses the results.
     * Executes searches in parallel across all provided searchers, then combines the results
     * using rank fusion algorithms to produce a unified result set.
     *
     * @param searchers array of searchers to use for concurrent searching
     * @param query the search query string

    HashCode expected1 = randomHash(hashFunction, new Random(1L), numActions);
    HashCode expected2 = randomHash(hashFunction, new Random(2L), numActions);

    // equivalent, but overlapping, computations (should produce the same results as above)
    Random random1 = new Random(1L);
    Random random2 = new Random(2L);
    Hasher hasher1 = hashFunction.newHasher();
    Hasher hasher2 = hashFunction.newHasher();

* Flex drivers by default do not produce metrics. Flex plugins can enable metrics collection by setting  the capability 'supportsMetrics' to true. Make sure the file system can support fs stat to produce metrics in this case. ([#67508](https://github.com/kubernetes/kubernetes/pull/67508), [@brahmaroutu](https://github.com/brahmaroutu))

- Fixes a goroutine leak in kube-apiserver when a request times out. ([#83333](https://github.com/kubernetes/kubernetes/pull/83333), [@lavalamp](https://github.com/lavalamp))
- Fixes the bug in informer-gen that it produces incorrect code if a type has nonNamespaced tag set. ([#80458](https://github.com/kubernetes/kubernetes/pull/80458), [@tatsuhiro-t](https://github.com/tatsuhiro-t))

        }
    }

    @Nested
    @DisplayName("Serialization Tests")
    class SerializationTests {

        @Test
        @DisplayName("toByteArray should produce valid message with basic flags")
        void testToByteArray_Basic() throws IOException {
            // Given
            CIFSContext mockContext = createMockContext();

        Smb2EncryptionContext context = new Smb2EncryptionContext(EncryptionNegotiateContext.CIPHER_AES128_GCM, DialectVersion.SMB311,
                testEncryptionKey, testEncryptionKey);

        int threadCount = 5; // Reduced complexity
        int operationsPerThread = 10;
        ExecutorService executor = Executors.newFixedThreadPool(threadCount);
        CountDownLatch startLatch = new CountDownLatch(1);