@Test
    @DisplayName("Test with edge case time values")
    void testWithEdgeCaseTimeValues() {
        // Test with various time values including edge cases
        long[][] timeValues = { { 0L, 0L, 0L, 0L }, // All zeros
                { Long.MAX_VALUE, Long.MAX_VALUE, Long.MAX_VALUE, Long.MAX_VALUE }, // Max values
                { 1L, 2L, 3L, 4L }, // Small values

            assertEquals(length, SMBUtil.readInt4(buffer, startIndex + 16));

            // Verify reserved bytes are zeros
            for (int i = 0; i < RESERVED_BYTES; i++) {
                assertEquals(0, buffer[startIndex + 20 + i]);
            }
        }

        @Test
        @DisplayName("Should encode zero values correctly")
        void testEncodeZeroValues() {
            // Given

   *         .addNode(REYKJAVIK)
   *         .build();
   * }
   *
   * <p>Builder instances can be reused; it is safe to call {@link #build} multiple times to build
   * multiple graphs in series. Each new graph contains all the elements of the ones created before
   * it.
   *
   * @since 28.0
   */
  public static class Builder<N, V> {

    private final MutableValueGraph<N, V> mutableValueGraph;

And these models are all sharing a lot of the data and duplicating attribute names and types.

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

		</dependency>
		<dependency>
			<groupId>org.apache.tika</groupId>
			<artifactId>tika-parser-xml-module</artifactId>
			<version>${tika.version}</version>
			<exclusions>
				<exclusion>
					<groupId>xerces</groupId>
					<artifactId>xercesImpl</artifactId>
				</exclusion>
			</exclusions>
		</dependency>
		<dependency>
			<groupId>org.codelibs</groupId>
			<artifactId>jhighlight</artifactId>

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

        assertArrayEquals(testFileId, copiedFileId);
    }

    @Test
    @DisplayName("Test with various file ID patterns")
    void testWithVariousFileIdPatterns() {
        // Test with all zeros
        byte[] zeroFileId = new byte[16];
        Smb2FlushRequest zeroRequest = new Smb2FlushRequest(mockConfig, zeroFileId);
        testFileIdInRequest(zeroRequest, zeroFileId);

        // Test with all ones

        resp.decode(packet, 0);

        SrvPipePeekResponse peek = resp.getOutputData(SrvPipePeekResponse.class);
        assertNotNull(peek);
        assertEquals(16, resp.getOutputLength());
        // Default zeros
        assertEquals(0, peek.getNamedPipeState());
        assertEquals(0, peek.getReadDataAvailable());
        assertEquals(0, peek.getNumberOfMessages());
        assertEquals(0, peek.getMessageLength());
    }

            assertEquals((byte) 0xFF, dst[i]);
        }

        // Test with zero
        SMBUtil.writeInt8(0L, dst, 16);
        for (int i = 16; i < 24; i++) {
            assertEquals((byte) 0x00, dst[i]);
        }
    }

    @Test
    void testReadTime() {
        byte[] src = new byte[16];

        // Test with zero time
        SMBUtil.writeInt8(0L, src, 0);

        assertArrayEquals(testFileId, copiedFileId);
    }

    @Test
    @DisplayName("Test with various file ID patterns")
    void testWithVariousFileIdPatterns() {
        // Test with all zeros
        byte[] zeroFileId = new byte[16];
        Smb2CloseRequest zeroRequest = new Smb2CloseRequest(mockConfig, zeroFileId, testFileName);
        testFileIdInRequest(zeroRequest, zeroFileId);