// Verify that data was written (should write 22 bytes based on implementation)
        assertEquals(22, result, "writeParameterWordsWireFormat should write 22 bytes");
    }

    @Test
    void testWriteBytesWireFormat() {
        byte[] dst = new byte[1024];
        int result = setupAndX.writeBytesWireFormat(dst, 0);

        // Verify that data was written

     */
    public byte[] getFileId() {
        return Arrays.copyOf(fileId, 16);
    }

    @Override
    public int size() {
        // Context header (16) + name length (4) + padding to 8-byte alignment + data (16)
        return 16 + 4 + 4 + STRUCTURE_SIZE;
    }

    @Override
    public int encode(byte[] dst, int dstIndex) {
        int start = dstIndex;

        // Write context header

    int ERROR_PIPE_BUSY = 231;
    /** The pipe is being closed */
    int ERROR_NO_DATA = 232;
    /** No process is on the other end of the pipe */
    int ERROR_PIPE_NOT_CONNECTED = 233;
    /** More data is available */
    int ERROR_MORE_DATA = 234;
    /** The service is not installed */
    int ERROR_SERVICE_NOT_INSTALLED = 2184;
    /** The list of servers for this workgroup is not currently available */

    }

    /**
     * Constructs a file notify information from the given buffer.
     *
     * @param buffer the buffer containing the notification data
     * @param bufferIndex the starting index in the buffer
     * @param len the length of data to decode
     * @throws IOException if an I/O error occurs during decoding
     */

    int ERROR_PIPE_BUSY = 231;
    /** The pipe is being closed */
    int ERROR_NO_DATA = 232;
    /** No process is on the other end of the pipe */
    int ERROR_PIPE_NOT_CONNECTED = 233;
    /** More data is available */
    int ERROR_MORE_DATA = 234;
    /** The list of servers for this workgroup is not currently available */
    int ERROR_NO_BROWSER_SERVERS_FOUND = 6118;

    /** Array of Windows error codes */

  // tensor are combined into a single entry.
  const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const;

  // Returns a map from variable names to their data types.  Slices of a
  // partitioned tensor are combined into a single entry.
  const TensorSliceReader::VarToDataTypeMap& GetVariableToDataTypeMap() const;

 * <p>
 * This class provides serialization capabilities using different serializers,
 * currently supporting Kryo and JavaBin serialization formats. The serializer
 * type is determined by the crawler data serializer configuration.
 * </p>
 * <p>
 * The class is thread-safe and uses ThreadLocal to maintain Kryo instances
 * per thread to avoid synchronization overhead.
 * </p>
 *
 */
public class DataSerializer {

   * the stream.
   *
   * @param in the input stream to read from.
   * @param b the buffer into which the data is read.
   * @param off an int specifying the offset into the data.
   * @param len an int specifying the number of bytes to read.
   * @throws EOFException if this stream reaches the end before reading all the bytes.

            return doNameQuery(new Name(host, type, scope), svr);
        }
        int IP = 0x00;
        int hitDots = 0;
        final char[] data = host.toCharArray();

        for (int i = 0; i < data.length; i++) {
            char c = data[i];
            if (c < 48 || c > 57) {
                return doNameQuery(new Name(host, type, scope), svr);
            }
            int b = 0x00;

  }

  void CompareInt32Tensor(const std::vector<int32_t>& expected, TF_Tensor* t) {
    int32_t* data = static_cast<int32_t*>(TF_TensorData(t));
    size_t size = TF_TensorByteSize(t);
    ASSERT_EQ(expected.size() * sizeof(int32_t), size);
    for (int i = 0; i < expected.size(); ++i) {
      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }