/**
     * Test of readParameterWordsWireFormat with zero count
     */
    @Test
    public void testReadParameterWordsWireFormatZeroCount() {
        // Given
        byte[] buffer = new byte[] { 0, 0, 0, 0, 0, 0, 0, 0 };
        SmbComWriteAndXResponse instance = new SmbComWriteAndXResponse(config);

        // When
        int result = instance.readParameterWordsWireFormat(buffer, 0);

        // Then

  }

  /** Sanity checking with many combinations of false positive rates and expected insertions */
  public void testBasic() {
    for (double fpr = 0.0000001; fpr < 0.1; fpr *= 10) {
      for (int expectedInsertions = 1; expectedInsertions <= 10000; expectedInsertions *= 10) {
        checkSanity(BloomFilter.create(HashTestUtils.BAD_FUNNEL, expectedInsertions, fpr));
      }

    model = ModelWithCustomEncoder(dt_field=datetime(2019, 1, 1, 8))
    assert jsonable_encoder(model) == {"dt_field": "2019-01-01T08:00:00+00:00"}
    subclass_model = ModelWithCustomEncoderSubclass(dt_field=datetime(2019, 1, 1, 8))
    assert jsonable_encoder(subclass_model) == {"dt_field": "2019-01-01T08:00:00+00:00"}


def test_json_encoder_error_with_pydanticv1():
    with warnings.catch_warnings():

class HexdumpTest extends BaseTest {

    @Test
    @DisplayName("Should convert integer to hex string with specified size")
    void testToHexStringInt() {
        // Test zero
        assertEquals("00000000", Hexdump.toHexString(0, 8));
        assertEquals("0000", Hexdump.toHexString(0, 4));
        assertEquals("00", Hexdump.toHexString(0, 2));

        // Test positive values

        }
        return new MeanAndVariance(mean, s / values.length);
      }
    };

    abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm);
  }

  @Param({"100", "10000"})
  int n;

  @Param MeanAlgorithm meanAlgorithm;
  @Param VarianceAlgorithm varianceAlgorithm;

  private final double[][] values = new double[0x100][];

  @BeforeExperiment
  void setUp() {

        }
        return new MeanAndVariance(mean, s / values.length);
      }
    };

    abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm);
  }

  @Param({"100", "10000"})
  int n;

  @Param MeanAlgorithm meanAlgorithm;
  @Param VarianceAlgorithm varianceAlgorithm;

  private final double[][] values = new double[0x100][];

  @BeforeExperiment
  void setUp() {

  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  @BeforeExperiment
  void setUp() {

  @Param private ComparatorType comparator;

  // TODO(kevinb): add 1000000 back when we have the ability to throw
  // NotApplicableException in the expensive comparator case.
  @Param({"100", "10000"})
  private int size;

  @Param private HeapType heap;

  private Queue<Integer> queue;

  private final Random random = new Random();

  @BeforeExperiment
  void setUp() {

      var hostname = inetAddress.hostName
      if (inetAddress is Inet6Address && hostname.contains(':')) {
        // hostname is likely some form representing the IPv6 bytes
        // 2001:0db8:85a3:0000:0000:8a2e:0370:7334
        // 2001:db8:85a3::8a2e:370:7334
        // ::1
        hostname = "[$hostname]"
      }

      val localPort = socket.localPort

    private BufferCache() {
        // Utility class - not instantiable
    }

    private static final int MAX_BUFFERS = Config.getInt("jcifs.smb1.smb.maxBuffers", 16);
    private static final int MAX_BUFFER_SIZE = 0x100000; // 1MB maximum

    // Use concurrent queue for lock-free operations
    private static final java.util.concurrent.ConcurrentLinkedQueue<byte[]> bufferQueue =
            new java.util.concurrent.ConcurrentLinkedQueue<>();