/*****************************************************************************
 * Copyright by The HDF Group.                                               *
 * Copyright by the Board of Trustees of the University of Illinois.         *
 * All rights reserved.                                                      *
 *                                                                           *
 * This file is part of the HDF Java Products distribution.                  *
 * The full copyright notice, including terms governing use, modification,   *
 * and redistribution, is contained in the files COPYING and Copyright.html. *
 * COPYING can be found at the root of the source code distribution tree.    *
 * Or, see https://support.hdfgroup.org/products/licenses.html               *
 * If you do not have access to either file, you may request a copy from     *
 * help@hdfgroup.org.                                                        *
 ****************************************************************************/

package hdf.object.h5;

import java.lang.reflect.Array;
import java.text.DecimalFormat;
import java.util.List;
import java.util.Vector;

import hdf.hdf5lib.H5;
import hdf.hdf5lib.HDF5Constants;
import hdf.hdf5lib.HDFNativeData;
import hdf.hdf5lib.exceptions.HDF5DataFiltersException;
import hdf.hdf5lib.exceptions.HDF5Exception;
import hdf.hdf5lib.exceptions.HDF5LibraryException;
import hdf.hdf5lib.structs.H5O_info_t;
import hdf.object.Attribute;
import hdf.object.Dataset;
import hdf.object.Datatype;
import hdf.object.FileFormat;
import hdf.object.Group;
import hdf.object.HObject;
import hdf.object.ScalarDS;

/**
 * H5ScalarDS describes a multi-dimension array of HDF5 scalar or atomic data types, such as byte, int, short, long,
 * float, double and string, and operations performed on the scalar dataset.
 * <p>
 * The library predefines a modest number of datatypes. For details,
 * read <a href="https://support.hdfgroup.org/HDF5/doc/UG/HDF5_Users_Guide-Responsive%20HTML5/HDF5_Users_Guide/Datatypes/HDF5_Datatypes.htm">HDF5 Datatypes</a>
 *
 * @version 1.1 9/4/2007
 * @author Peter X. Cao
 */
public class H5ScalarDS extends ScalarDS {
    private static final long serialVersionUID = 2887517608230611642L;

    private static final org.slf4j.Logger log = org.slf4j.LoggerFactory.getLogger(H5ScalarDS.class);

    /**
     * The list of attributes of this data object. Members of the list are instance of Attribute.
     */
    private List<Attribute> attributeList;

    private int nAttributes = -1;

    private H5O_info_t objInfo;

    /**
     * The byte array containing references of palettes. Each reference requires eight bytes storage. Therefore, the
     * array length is 8*numberOfPalettes.
     */
    private byte[] paletteRefs;

    /** flag to indicate if the dataset is an external dataset */
    private boolean isExternal = false;

    /** flag to indicate is the dataset is a virtual dataset */
    private boolean isVirtual = false;
    private List<String> virtualNameList;

    /**
     * flag to indicate if the datatype in file is the same as dataype in memory
     */
    private boolean isNativeDatatype = false;

    /*
     * Enum to indicate the type of I/O to perform inside of the common I/O
     * function.
     */
    protected enum IO_TYPE {
        READ, WRITE
    };

    /**
     * Constructs an instance of a H5 scalar dataset with given file, dataset name and path.
     * <p>
     * For example, in H5ScalarDS(h5file, "dset", "/arrays/"), "dset" is the name of the dataset, "/arrays" is the group
     * path of the dataset.
     *
     * @param theFile
     *            the file that contains the data object.
     * @param theName
     *            the name of the data object, e.g. "dset".
     * @param thePath
     *            the full path of the data object, e.g. "/arrays/".
     */
    public H5ScalarDS(FileFormat theFile, String theName, String thePath) {
        this(theFile, theName, thePath, null);
    }

    /**
     * @deprecated Not for public use in the future.<br>
     *             Using {@link #H5ScalarDS(FileFormat, String, String)}
     *
     * @param theFile
     *            the file that contains the data object.
     * @param theName
     *            the name of the data object, e.g. "dset".
     * @param thePath
     *            the full path of the data object, e.g. "/arrays/".
     * @param oid
     *            the oid of the data object.
     */
    @Deprecated
    public H5ScalarDS(FileFormat theFile, String theName, String thePath, long[] oid) {
        super(theFile, theName, thePath, oid);
        unsignedConverted = false;
        paletteRefs = null;
        objInfo = new H5O_info_t(-1L, -1L, 0, 0, -1L, 0L, 0L, 0L, 0L, null, null, null);

        if ((oid == null) && (theFile != null)) {
            // retrieve the object ID
            try {
                byte[] refbuf = H5.H5Rcreate(theFile.getFID(), this.getFullName(), HDF5Constants.H5R_OBJECT, -1);
                this.oid = new long[1];
                this.oid[0] = HDFNativeData.byteToLong(refbuf, 0);
            }
            catch (Exception ex) {
                log.debug("constructor ID {} for {} failed H5Rcreate", theFile.getFID(), this.getFullName());
            }
        }
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.HObject#open()
     */
    @Override
    public long open() {
        long did = -1;

        try {
            did = H5.H5Dopen(getFID(), getPath() + getName(), HDF5Constants.H5P_DEFAULT);
            log.trace("open(): did={}", did);
        }
        catch (HDF5Exception ex) {
            log.debug("open(): Failed to open dataset {}", getPath() + getName(), ex);
            did = -1;
        }

        return did;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.HObject#close(int)
     */
    @Override
    public void close(long did) {
        if (did >= 0) {
            try {
                H5.H5Fflush(did, HDF5Constants.H5F_SCOPE_LOCAL);
            }
            catch (Exception ex) {
                log.debug("close(): H5Fflush(did {}) failure: ", did, ex);
            }
            try {
                H5.H5Dclose(did);
            }
            catch (HDF5Exception ex) {
                log.debug("close(): H5Dclose(did {}) failure: ", did, ex);
            }
        }
    }

    /**
     * Retrieves datatype and dataspace information from file and sets the dataset
     * in memory.
     * <p>
     * The init() is designed to support lazy operation in a dataset object. When a
     * data object is retrieved from file, the datatype, dataspace and raw data are
     * not loaded into memory. When it is asked to read the raw data from file,
     * init() is first called to get the datatype and dataspace information, then
     * load the raw data from file.
     * <p>
     * init() is also used to reset the selection of a dataset (start, stride and
     * count) to the default, which is the entire dataset for 1D or 2D datasets. In
     * the following example, init() at step 1) retrieves datatype and dataspace
     * information from file. getData() at step 3) reads only one data point. init()
     * at step 4) resets the selection to the whole dataset. getData() at step 4)
     * reads the values of whole dataset into memory.
     *
     * <pre>
     * dset = (Dataset) file.get(NAME_DATASET);
     *
     * // 1) get datatype and dataspace information from file
     * dset.init();
     * rank = dset.getRank(); // rank = 2, a 2D dataset
     * count = dset.getSelectedDims();
     * start = dset.getStartDims();
     * dims = dset.getDims();
     *
     * // 2) select only one data point
     * for (int i = 0; i &lt; rank; i++) {
     *     start[0] = 0;
     *     count[i] = 1;
     * }
     *
     * // 3) read one data point
     * data = dset.getData();
     *
     * // 4) reset selection to the whole dataset
     * dset.init();
     *
     * // 5) clean the memory data buffer
     * dset.clearData();
     *
     * // 6) Read the whole dataset
     * data = dset.getData();
     * </pre>
     */
    @Override
    public void init() {

        if (inited) {
            resetSelection();
            log.trace("init(): Dataset already intialized");
            return; // already called. Initialize only once
        }

        long did = -1;
        long tid = -1;
        long sid = -1;
        long nativeTID = -1;

        did = open();
        if (did >= 0) {
            // check if it is an external or virtual dataset
            long pid = -1;
            try {
                pid = H5.H5Dget_create_plist(did);
                try {
                    int nfiles = H5.H5Pget_external_count(pid);
                    isExternal = (nfiles > 0);
                    int layoutType = H5.H5Pget_layout(pid);
                    if (isVirtual = (layoutType == HDF5Constants.H5D_VIRTUAL)) {
                        try {
                            long vmaps = H5.H5Pget_virtual_count(pid);
                            if (vmaps > 0) {
                                virtualNameList = new Vector<>();
                                for (long next = 0; next < vmaps; next++) {
                                    try {
                                        String fname = H5.H5Pget_virtual_filename(pid, next);
                                        virtualNameList.add(fname);
                                        log.trace("init(): virtualNameList[{}]={}", next, fname);
                                    }
                                    catch (Exception err) {
                                        continue;
                                    }
                                }
                            }
                        }
                        catch (Exception err) {
                            log.debug("init(): vds count error: ", err);
                        }
                    }
                    log.trace("init(): pid={} nfiles={} isExternal={} isVirtual={}", pid, nfiles, isExternal, isVirtual);
                }
                catch (Exception ex) {
                    log.debug("init(): check if it is an external or virtual dataset: ", ex);
                }
            }
            catch (Exception ex) {
                log.debug("init(): H5Dget_create_plist: ", ex);
            }
            finally {
                try {
                    H5.H5Pclose(pid);
                }
                catch (Exception ex) {
                    log.debug("init(): H5Pclose(pid {}) failure: ", pid, ex);
                }
            }

            paletteRefs = getPaletteRefs(did);

            try {
                sid = H5.H5Dget_space(did);
                rank = H5.H5Sget_simple_extent_ndims(sid);
                tid = H5.H5Dget_type(did);

                log.trace("init(): tid={} sid={} rank={}", tid, sid, rank);

                try {
                    datatype = new H5Datatype(getFileFormat(), tid);

                    log.trace("init(): tid={} is tclass={} has isText={} : isNamed={} :  isVLEN={} : isEnum={} : isUnsigned={} : isRegRef={}",
                            tid, datatype.getDatatypeClass(), ((H5Datatype) datatype).isText(), datatype.isNamed(), datatype.isVLEN(),
                            datatype.isEnum(), datatype.isUnsigned(), ((H5Datatype) datatype).isRegRef());
                }
                catch (Exception ex) {
                    log.debug("init(): failed to create datatype for dataset: ", ex);
                    datatype = null;
                }

                // Check if the datatype in the file is the native datatype
                try {
                    nativeTID = H5.H5Tget_native_type(tid);
                    isNativeDatatype = H5.H5Tequal(tid, nativeTID);
                    log.trace("init(): isNativeDatatype={}", isNativeDatatype);
                }
                catch (Exception ex) {
                    log.debug("init(): check if native type failure: ", ex);
                }

                try {
                    pid = H5.H5Dget_create_plist(did);
                    int[] fillStatus = { 0 };
                    if (H5.H5Pfill_value_defined(pid, fillStatus) >= 0) {
                        // Check if fill value is user-defined before retrieving it.
                        if (fillStatus[0] == HDF5Constants.H5D_FILL_VALUE_USER_DEFINED) {
                            try {
                                fillValue = H5Datatype.allocateArray((H5Datatype) datatype, 1);
                            }
                            catch (OutOfMemoryError e) {
                                log.debug("init(): out of memory: ", e);
                                fillValue = null;
                            }
                            catch (Exception ex) {
                                log.debug("init(): allocate fill value buffer failed: ", ex);
                                fillValue = null;
                            }

                            log.trace("init(): fillValue={}", fillValue);
                            try {
                                H5.H5Pget_fill_value(pid, nativeTID, fillValue);
                                log.trace("init(): H5Pget_fill_value={}", fillValue);
                                if (fillValue != null) {
                                    if (datatype.isUnsigned() && !isFillValueConverted) {
                                        fillValue = ScalarDS.convertFromUnsignedC(fillValue, null);
                                        isFillValueConverted = true;
                                    }

                                    int n = Array.getLength(fillValue);
                                    for (int i = 0; i < n; i++)
                                        addFilteredImageValue((Number) Array.get(fillValue, i));
                                }
                            }
                            catch (Exception ex2) {
                                log.debug("init(): fill value was defined: ", ex2);
                                fillValue = null;
                            }
                        }
                    }
                }
                catch (HDF5Exception ex) {
                    log.debug("init(): check if fill value is defined failure: ", ex);
                }
                finally {
                    try {
                        H5.H5Pclose(pid);
                    }
                    catch (Exception ex) {
                        log.debug("init(): H5Pclose(pid {}) failure: ", pid, ex);
                    }
                }

                if (rank == 0) {
                    // a scalar data point
                    rank = 1;
                    dims = new long[1];
                    dims[0] = 1;
                    log.trace("init(): rank is a scalar data point");
                }
                else {
                    dims = new long[rank];
                    maxDims = new long[rank];
                    H5.H5Sget_simple_extent_dims(sid, dims, maxDims);
                    log.trace("init(): rank={}, dims={}, maxDims={}", rank, dims, maxDims);
                }

                inited = true;
            }
            catch (HDF5Exception ex) {
                log.debug("init(): ", ex);
            }
            finally {
                try {
                    H5.H5Tclose(nativeTID);
                }
                catch (Exception ex2) {
                    log.debug("init(): H5Tclose(nativeTID {}) failure: ", nativeTID, ex2);
                }
                try {
                    H5.H5Tclose(tid);
                }
                catch (HDF5Exception ex2) {
                    log.debug("init(): H5Tclose(tid {}) failure: ", tid, ex2);
                }
                try {
                    H5.H5Sclose(sid);
                }
                catch (HDF5Exception ex2) {
                    log.debug("init(): H5Sclose(sid {}) failure: ", sid, ex2);
                }
            }

            // check for the type of image and interlace mode
            // it is a true color image at one of three cases:
            // 1) IMAGE_SUBCLASS = IMAGE_TRUECOLOR,
            // 2) INTERLACE_MODE = INTERLACE_PIXEL,
            // 3) INTERLACE_MODE = INTERLACE_PLANE
            if ((rank >= 3) && isImage) {
                interlace = -1;
                isTrueColor = isStringAttributeOf(did, "IMAGE_SUBCLASS", "IMAGE_TRUECOLOR");

                if (isTrueColor) {
                    interlace = INTERLACE_PIXEL;
                    if (isStringAttributeOf(did, "INTERLACE_MODE", "INTERLACE_PLANE")) {
                        interlace = INTERLACE_PLANE;
                    }
                }
            }

            close(did);

            startDims = new long[rank];
            selectedDims = new long[rank];

            resetSelection();
        }
        else {
            log.debug("init(): failed to open dataset");
        }
        log.trace("init(): rank={}, startDims={}, selectedDims={}", rank, startDims, selectedDims);
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.DataFormat#hasAttribute()
     */
    @Override
    public boolean hasAttribute() {
        objInfo.num_attrs = nAttributes;

        if (objInfo.num_attrs < 0) {
            long did = open();
            if (did >= 0) {
                objInfo.num_attrs = 0;

                try {
                    objInfo = H5.H5Oget_info(did);
                    nAttributes = (int) objInfo.num_attrs;
                }
                catch (Exception ex) {
                    objInfo.num_attrs = 0;
                    log.debug("hasAttribute(): get object info: ", ex);
                }

                if(nAttributes > 0) {
                    // test if it is an image
                    // check image
                    Object avalue = getAttrValue(did, "CLASS");
                    if (avalue != null) {
                        try {
                            isImageDisplay = isImage = "IMAGE".equalsIgnoreCase(new String((byte[]) avalue).trim());
                            log.trace("hasAttribute(): isImageDisplay dataset: {} with value = {}", isImageDisplay, avalue);
                        }
                        catch (Exception err) {
                            log.debug("hasAttribute(): check image: ", err);
                        }
                    }

                    // retrieve the IMAGE_MINMAXRANGE
                    avalue = getAttrValue(did, "IMAGE_MINMAXRANGE");
                    if (avalue != null) {
                        double x0 = 0;
                        double x1 = 0;
                        try {
                            x0 = Double.parseDouble(java.lang.reflect.Array.get(avalue, 0).toString());
                            x1 = Double.parseDouble(java.lang.reflect.Array.get(avalue, 1).toString());
                        }
                        catch (Exception ex2) {
                            x0 = x1 = 0;
                        }
                        if (x1 > x0) {
                            imageDataRange = new double[2];
                            imageDataRange[0] = x0;
                            imageDataRange[1] = x1;
                        }
                    }

                    try {
                        checkCFconvention(did);
                    }
                    catch (Exception ex) {
                        log.debug("hasAttribute(): checkCFconvention(did {}):", did, ex);
                    }
                }
                close(did);
            }
            else {
                log.debug("hasAttribute(): could not open dataset");
            }
        }

        log.trace("hasAttribute(): nAttributes={}", objInfo.num_attrs);
        return (objInfo.num_attrs > 0);
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#getDatatype()
     */
    @Override
    public Datatype getDatatype() {
        if (!inited)
            init();

        if (datatype == null) {
            long did = -1;
            long tid = -1;

            did = open();
            if (did >= 0) {
                try {
                    tid = H5.H5Dget_type(did);
                    log.trace("getDatatype(): isNativeDatatype={}", isNativeDatatype);
                    if (!isNativeDatatype) {
                        long tmptid = -1;
                        try {
                            tmptid = H5Datatype.toNative(tid);
                            if (tmptid >= 0) {
                                try {
                                    H5.H5Tclose(tid);
                                }
                                catch (Exception ex2) {
                                    log.debug("getDatatype(): H5Tclose(tid {}) failure: ", tid, ex2);
                                }
                                tid = tmptid;
                            }
                        }
                        catch (Exception ex) {
                            log.debug("getDatatype(): toNative: ", ex);
                        }
                    }
                    datatype = new H5Datatype(getFileFormat(), tid);
                }
                catch (Exception ex) {
                    log.debug("getDatatype(): get datatype failure: ", ex);
                }
                finally {
                    try {
                        H5.H5Tclose(tid);
                    }
                    catch (HDF5Exception ex) {
                        log.debug("getDatatype(): H5Tclose(tid {}) failure: ", tid, ex);
                    }
                    try {
                        H5.H5Dclose(did);
                    }
                    catch (HDF5Exception ex) {
                        log.debug("getDatatype(): H5Dclose(did {}) failure: ", did, ex);
                    }
                }
            }
        }

        if (isExternal) {
            String pdir = this.getFileFormat().getAbsoluteFile().getParent();

            if (pdir == null) {
                pdir = ".";
            }
            System.setProperty("user.dir", pdir);
            log.trace("getDatatype(): External dataset: user.dir={}", pdir);
        }

        return datatype;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#clear()
     */
    @Override
    public void clear() {
        super.clear();

        if (attributeList != null) {
            ((Vector<Attribute>) attributeList).setSize(0);
        }
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#readBytes()
     */
    @Override
    public byte[] readBytes() throws HDF5Exception {
        byte[] theData = null;

        if (!isInited())
            init();

        long did = open();
        if (did >= 0) {
            long fspace = -1;
            long mspace = -1;
            long tid = -1;

            try {
                long[] lsize = { 1 };
                for (int j = 0; j < selectedDims.length; j++) {
                    lsize[0] *= selectedDims[j];
                }

                fspace = H5.H5Dget_space(did);
                mspace = H5.H5Screate_simple(rank, selectedDims, null);

                // set the rectangle selection
                // HDF5 bug: for scalar dataset, H5Sselect_hyperslab gives core dump
                if (rank * dims[0] > 1) {
                    H5.H5Sselect_hyperslab(fspace, HDF5Constants.H5S_SELECT_SET, startDims, selectedStride,
                            selectedDims, null); // set block to 1
                }

                tid = H5.H5Dget_type(did);
                long size = H5.H5Tget_size(tid) * lsize[0];
                log.trace("readBytes(): size = {}", size);

                if (size < Integer.MIN_VALUE || size > Integer.MAX_VALUE) throw new Exception("Invalid int size");

                theData = new byte[(int)size];

                log.trace("readBytes(): H5Dread: did={} tid={} fspace={} mspace={}", did, tid, fspace, mspace);
                H5.H5Dread(did, tid, mspace, fspace, HDF5Constants.H5P_DEFAULT, theData);
            }
            catch (Exception ex) {
                log.debug("readBytes(): failed to read data: ", ex);
            }
            finally {
                try {
                    H5.H5Sclose(fspace);
                }
                catch (Exception ex2) {
                    log.debug("readBytes(): H5Sclose(fspace {}) failure: ", fspace, ex2);
                }
                try {
                    H5.H5Sclose(mspace);
                }
                catch (Exception ex2) {
                    log.debug("readBytes(): H5Sclose(mspace {}) failure: ", mspace, ex2);
                }
                try {
                    H5.H5Tclose(tid);
                }
                catch (HDF5Exception ex2) {
                    log.debug("readBytes(): H5Tclose(tid {}) failure: ", tid, ex2);
                }
                close(did);
            }
        }

        return theData;
    }

    /**
     * Reads the data from file.
     * <p>
     * read() reads the data from file to a memory buffer and returns the memory
     * buffer. The dataset object does not hold the memory buffer. To store the
     * memory buffer in the dataset object, one must call getData().
     * <p>
     * By default, the whole dataset is read into memory. Users can also select
     * a subset to read. Subsetting is done in an implicit way.
     * <p>
     * <b>How to Select a Subset</b>
     * <p>
     * A selection is specified by three arrays: start, stride and count.
     * <ol>
     * <li>start: offset of a selection
     * <li>stride: determines how many elements to move in each dimension
     * <li>count: number of elements to select in each dimension
     * </ol>
     * getStartDims(), getStride() and getSelectedDims() returns the start,
     * stride and count arrays respectively. Applications can make a selection
     * by changing the values of the arrays.
     * <p>
     * The following example shows how to make a subset. In the example, the
     * dataset is a 4-dimensional array of [200][100][50][10], i.e. dims[0]=200;
     * dims[1]=100; dims[2]=50; dims[3]=10; <br>
     * We want to select every other data point in dims[1] and dims[2]
     *
     * <pre>
     * int rank = dataset.getRank(); // number of dimensions of the dataset
     * long[] dims = dataset.getDims(); // the dimension sizes of the dataset
     * long[] selected = dataset.getSelectedDims(); // the selected size of the
     *                                              // dataset
     * long[] start = dataset.getStartDims(); // the offset of the selection
     * long[] stride = dataset.getStride(); // the stride of the dataset
     * int[] selectedIndex = dataset.getSelectedIndex(); // the selected
     *                                                   // dimensions for
     *                                                   // display
     *
     * // select dim1 and dim2 as 2D data for display, and slice through dim0
     * selectedIndex[0] = 1;
     * selectedIndex[1] = 2;
     * selectedIndex[1] = 0;
     *
     * // reset the selection arrays
     * for (int i = 0; i &lt; rank; i++) {
     *     start[i] = 0;
     *     selected[i] = 1;
     *     stride[i] = 1;
     * }
     *
     * // set stride to 2 on dim1 and dim2 so that every other data point is
     * // selected.
     * stride[1] = 2;
     * stride[2] = 2;
     *
     * // set the selection size of dim1 and dim2
     * selected[1] = dims[1] / stride[1];
     * selected[2] = dims[1] / stride[2];
     *
     * // when dataset.getData() is called, the selection above will be used
     * // since
     * // the dimension arrays are passed by reference. Changes of these arrays
     * // outside the dataset object directly change the values of these array
     * // in the dataset object.
     * </pre>
     * <p>
     * For ScalarDS, the memory data buffer is a one-dimensional array of byte,
     * short, int, float, double or String type based on the datatype of the
     * dataset.
     * <p>
     * For CompoundDS, the memory data object is an java.util.List object. Each
     * element of the list is a data array that corresponds to a compound field.
     * <p>
     * For example, if compound dataset "comp" has the following nested
     * structure, and member datatypes
     *
     * <pre>
     * comp --&gt; m01 (int)
     * comp --&gt; m02 (float)
     * comp --&gt; nest1 --&gt; m11 (char)
     * comp --&gt; nest1 --&gt; m12 (String)
     * comp --&gt; nest1 --&gt; nest2 --&gt; m21 (long)
     * comp --&gt; nest1 --&gt; nest2 --&gt; m22 (double)
     * </pre>
     *
     * getData() returns a list of six arrays: {int[], float[], char[],
     * String[], long[] and double[]}.
     *
     * @return the data read from file.
     *
     * @see #getData()
     * @see hdf.object.DataFormat#read()
     *
     * @throws Exception
     *             if object can not be read
     */
    @Override
    public Object read() throws Exception {
        Object readData = null;

        if (!isInited())
            init();

        try {
            readData = scalarDatasetCommonIO(IO_TYPE.READ, null);
        }
        catch (Exception ex) {
            log.debug("read(): failed to read scalar dataset: ", ex);
            throw new Exception("Failed to read scalar dataset: " + ex.getMessage(), ex);
        }

        return readData;
    }

    /**
     * Writes the given data buffer into this dataset in a file.
     *
     * @param buf
     *            The buffer that contains the data values.
     *
     * @throws Exception
     *             If there is an error at the HDF5 library level.
     */
    @Override
    public void write(Object buf) throws Exception {
        if (this.getFileFormat().isReadOnly())
            throw new Exception("cannot write to scalar dataset in file opened as read-only");

        if (!isInited())
            init();

        try {
            scalarDatasetCommonIO(IO_TYPE.WRITE, buf);
        }
        catch (Exception ex) {
            log.debug("write(): failed to write to scalar dataset: ", ex);
            throw new Exception("Failed to write to scalar dataset: " + ex.getMessage(), ex);
        }
    }

    private Object scalarDatasetCommonIO(IO_TYPE ioType, Object writeBuf) throws Exception {
        H5Datatype dsDatatype = (H5Datatype) getDatatype();
        Object theData = null;

        /*
         * I/O type-specific pre-initialization.
         */
        if (ioType == IO_TYPE.WRITE) {
            if (writeBuf == null) {
                log.debug("scalarDatasetCommonIO(): writeBuf is null");
                throw new Exception("write buffer is null");
            }

            /*
             * Check for any unsupported datatypes and fail early before
             * attempting to write to the dataset.
             */
            if (dsDatatype.isVLEN() && !dsDatatype.isText()) {
                log.debug("scalarDatasetCommonIO(): Cannot write non-string variable-length data");
                throw new HDF5Exception("Writing non-string variable-length data is not supported");
            }

            if (dsDatatype.isRegRef()) {
                log.debug("scalarDatasetCommonIO(): Cannot write region reference data");
                throw new HDF5Exception("Writing region reference data is not supported");
            }
        }

        long did = open();
        if (did >= 0) {
            long[] spaceIDs = { -1, -1 }; // spaceIDs[0]=mspace, spaceIDs[1]=fspace

            try {
                /*
                 * NOTE: this call sets up a hyperslab selection in the file according to the
                 * current selection in the dataset object.
                 */
                long totalSelectedSpacePoints = H5Utils.getTotalSelectedSpacePoints(did, dims, startDims,
                        selectedStride, selectedDims, spaceIDs);
                log.trace("scalarDatasetCommonIO(): totalSelectedSpacePoints={}", totalSelectedSpacePoints);

                if (ioType == IO_TYPE.READ) {
                    log.trace("scalarDatasetCommonIO():read ioType isNamed={} isEnum={} isText={} isRefObj={}", dsDatatype.isNamed(), dsDatatype.isEnum(), dsDatatype.isText(), dsDatatype.isRefObj());
                    if ((originalBuf == null) || dsDatatype.isEnum() || dsDatatype.isText() || dsDatatype.isRefObj()
                            || ((originalBuf != null) && (totalSelectedSpacePoints != nPoints))) {
                        try {
                            theData = H5Datatype.allocateArray(dsDatatype, (int) totalSelectedSpacePoints);
                        }
                        catch (OutOfMemoryError err) {
                            log.debug("scalarDatasetCommonIO(): Out of memory");
                            throw new HDF5Exception("Out Of Memory");
                        }
                    }
                    else {
                        // reuse the buffer if the size is the same
                        log.trace("scalarDatasetCommonIO():read ioType reuse the buffer if the size is the same");
                        theData = originalBuf;
                    }

                    if (theData != null) {
                        /*
                         * Actually read the data now that everything has been setup.
                         */
                        long tid = -1;
                        try {
                            log.trace("scalarDatasetCommonIO():read ioType create native");
                            tid = dsDatatype.createNative();

                            if (dsDatatype.isVLEN() || (dsDatatype.isArray() && dsDatatype.getDatatypeBase().isVLEN())) {
                                log.trace("scalarDatasetCommonIO(): H5DreadVL did={} tid={} spaceIDs[0]={} spaceIDs[1]={}",
                                        did, tid, (spaceIDs[0] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[0],
                                        (spaceIDs[1] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[1]);

                                H5.H5DreadVL(did, tid, spaceIDs[0], spaceIDs[1], HDF5Constants.H5P_DEFAULT,
                                        (Object[]) theData);
                            }
                            else {
                                log.trace("scalarDatasetCommonIO(): H5Dread did={} tid={} spaceIDs[0]={} spaceIDs[1]={}",
                                        did, tid, (spaceIDs[0] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[0],
                                        (spaceIDs[1] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[1]);

                                H5.H5Dread(did, tid, spaceIDs[0], spaceIDs[1], HDF5Constants.H5P_DEFAULT, theData);
                            }
                        }
                        catch (HDF5DataFiltersException exfltr) {
                            log.debug("scalarDatasetCommonIO(): read failure: ", exfltr);
                            throw new Exception("Filter not available exception: " + exfltr.getMessage(), exfltr);
                        }
                        catch (Exception ex) {
                            log.debug("scalarDatasetCommonIO(): read failure: ", ex);
                            throw new Exception(ex.getMessage(), ex);
                        }
                        finally {
                            dsDatatype.close(tid);
                        }

                        /*
                         * Perform any necessary data conversions.
                         */
                        if (dsDatatype.isText() && convertByteToString && (theData instanceof byte[])) {
                            log.trace("scalarDatasetCommonIO(): isText: converting byte array to string array");
                            theData = byteToString((byte[]) theData, (int) dsDatatype.getDatatypeSize());
                        }
                        else if (dsDatatype.isRefObj()) {
                            log.trace("scalarDatasetCommonIO(): isREF: converting byte array to long array");
                            theData = HDFNativeData.byteToLong((byte[]) theData);
                        }
                    }
                } // IO_TYPE.READ
                else {
                    /*
                     * Perform any necessary data conversions before writing the data.
                     *
                     * Note that v-len strings do not get converted, regardless of
                     * conversion request type.
                     */
                    Object tmpData = writeBuf;
                    try {
                        // Check if we need to convert integer data
                        int tsize = (int) dsDatatype.getDatatypeSize();
                        String cname = writeBuf.getClass().getName();
                        char dname = cname.charAt(cname.lastIndexOf("[") + 1);
                        boolean doIntConversion = (((tsize == 1) && (dname == 'S')) || ((tsize == 2) && (dname == 'I'))
                                || ((tsize == 4) && (dname == 'J')) || (dsDatatype.isUnsigned() && unsignedConverted));

                        if (doIntConversion) {
                            log.trace("scalarDatasetCommonIO(): converting integer data to unsigned C-type integers");
                            tmpData = convertToUnsignedC(writeBuf, null);
                        }
                        else if (dsDatatype.isText() && !dsDatatype.isVarStr() && convertByteToString) {
                            log.trace("scalarDatasetCommonIO(): converting string array to byte array");
                            tmpData = stringToByte((String[]) writeBuf, tsize);
                        }
                        else if (dsDatatype.isEnum() && (Array.get(writeBuf, 0) instanceof String)) {
                            log.trace("scalarDatasetCommonIO(): converting enum names to values");
                            tmpData = dsDatatype.convertEnumNameToValue((String[]) writeBuf);
                        }
                    }
                    catch (Exception ex) {
                        log.debug("scalarDatasetCommonIO(): data conversion failure: ", ex);
                        throw new Exception("data conversion failure: " + ex.getMessage());
                    }

                    /*
                     * Actually write the data now that everything has been setup.
                     */
                    long tid = -1;
                    try {
                        tid = dsDatatype.createNative();

                        if (dsDatatype.isVLEN() || (dsDatatype.isArray() && dsDatatype.getDatatypeBase().isVLEN())) {
                            log.trace("scalarDatasetCommonIO(): H5DwriteVL did={} tid={} spaceIDs[0]={} spaceIDs[1]={}",
                                    did, tid, (spaceIDs[0] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[0],
                                    (spaceIDs[1] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[1]);

                            H5.H5DwriteVL(did, tid, spaceIDs[0], spaceIDs[1], HDF5Constants.H5P_DEFAULT, (Object[]) tmpData);
                        }
                        else {
                            log.trace("scalarDatasetCommonIO(): H5Dwrite did={} tid={} spaceIDs[0]={} spaceIDs[1]={}",
                                    did, tid, (spaceIDs[0] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[0],
                                    (spaceIDs[1] == HDF5Constants.H5P_DEFAULT) ? "H5P_DEFAULT" : spaceIDs[1]);

                            H5.H5Dwrite(did, tid, spaceIDs[0], spaceIDs[1], HDF5Constants.H5P_DEFAULT, tmpData);
                        }
                    }
                    catch (Exception ex) {
                        log.debug("scalarDatasetCommonIO(): write failure: ", ex);
                        throw new Exception(ex.getMessage());
                    }
                    finally {
                        dsDatatype.close(tid);
                    }
                } // IO_TYPE.WRITE
            }
            finally {
                if (HDF5Constants.H5S_ALL != spaceIDs[0]) {
                    try {
                        H5.H5Sclose(spaceIDs[0]);
                    }
                    catch (Exception ex) {
                        log.debug("scalarDatasetCommonIO(): H5Sclose(spaceIDs[0] {}) failure: ", spaceIDs[0], ex);
                    }
                }

                if (HDF5Constants.H5S_ALL != spaceIDs[1]) {
                    try {
                        H5.H5Sclose(spaceIDs[1]);
                    }
                    catch (Exception ex) {
                        log.debug("scalarDatasetCommonIO(): H5Sclose(spaceIDs[1] {}) failure: ", spaceIDs[1], ex);
                    }
                }

                close(did);
            }
        }
        else
            log.debug("scalarDatasetCommonIO(): failed to open dataset");

        return theData;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.DataFormat#getMetadata()
     */
    @Override
    public List<Attribute> getMetadata() throws HDF5Exception {
        return this.getMetadata(fileFormat.getIndexType(null), fileFormat.getIndexOrder(null));
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.DataFormat#getMetadata(int...)
     */
    public List<Attribute> getMetadata(int... attrPropList) throws HDF5Exception {
        if (!isInited()) {
            init();
        }

        try {
            this.linkTargetObjName = H5File.getLinkTargetName(this);
        }
        catch (Exception ex) {
            log.debug("getMetadata(): getLinkTargetName failed: ", ex);
        }

        if (attributeList != null) {
            log.trace("getMetadata(): attributeList != null");
            return attributeList;
        }

        long did = -1;
        long pcid = -1;
        long paid = -1;
        int indxType = fileFormat.getIndexType(null);
        int order = fileFormat.getIndexOrder(null);

        // load attributes first
        if (attrPropList.length > 0) {
            indxType = attrPropList[0];
            if (attrPropList.length > 1) {
                order = attrPropList[1];
            }
        }

        attributeList = H5File.getAttribute(this, indxType, order);

        did = open();
        if (did >= 0) {
            try {
                // get the compression and chunk information
                pcid = H5.H5Dget_create_plist(did);
                paid = H5.H5Dget_access_plist(did);
                long storageSize = H5.H5Dget_storage_size(did);
                int nfilt = H5.H5Pget_nfilters(pcid);
                int layoutType = H5.H5Pget_layout(pcid);

                storageLayout.setLength(0);
                compression.setLength(0);

                if (layoutType == HDF5Constants.H5D_CHUNKED) {
                    chunkSize = new long[rank];
                    H5.H5Pget_chunk(pcid, rank, chunkSize);
                    int n = chunkSize.length;
                    storageLayout.append("CHUNKED: ").append(chunkSize[0]);
                    for (int i = 1; i < n; i++) {
                        storageLayout.append(" X ").append(chunkSize[i]);
                    }

                    if (nfilt > 0) {
                        long nelmts = 1;
                        long uncompSize;
                        long datumSize = getDatatype().getDatatypeSize();

                        if (datumSize < 0) {
                            long tmptid = -1;
                            try {
                                tmptid = H5.H5Dget_type(did);
                                datumSize = H5.H5Tget_size(tmptid);
                            }
                            finally {
                                try {
                                    H5.H5Tclose(tmptid);
                                }
                                catch (Exception ex2) {
                                    log.debug("getMetadata(): H5Tclose(tmptid {}) failure: ", tmptid, ex2);
                                }
                            }
                        }

                        for (int i = 0; i < rank; i++) {
                            nelmts *= dims[i];
                        }
                        uncompSize = nelmts * datumSize;

                        /* compression ratio = uncompressed size / compressed size */

                        if (storageSize != 0) {
                            double ratio = (double) uncompSize / (double) storageSize;
                            DecimalFormat df = new DecimalFormat();
                            df.setMinimumFractionDigits(3);
                            df.setMaximumFractionDigits(3);
                            compression.append(df.format(ratio)).append(":1");
                        }
                    }
                }
                else if (layoutType == HDF5Constants.H5D_COMPACT) {
                    storageLayout.append("COMPACT");
                }
                else if (layoutType == HDF5Constants.H5D_CONTIGUOUS) {
                    storageLayout.append("CONTIGUOUS");
                    if (H5.H5Pget_external_count(pcid) > 0)
                        storageLayout.append(" - EXTERNAL ");
                }
                else if (layoutType == HDF5Constants.H5D_VIRTUAL) {
                    storageLayout.append("VIRTUAL - ");
                    try {
                        long vmaps = H5.H5Pget_virtual_count(pcid);
                        try {
                            int virtView = H5.H5Pget_virtual_view(paid);
                            long virtGap = H5.H5Pget_virtual_printf_gap(paid);
                            if (virtView == HDF5Constants.H5D_VDS_FIRST_MISSING)
                                storageLayout.append("First Missing");
                            else
                                storageLayout.append("Last Available");
                            storageLayout.append("\nGAP : " + virtGap);
                        }
                        catch (Exception err) {
                            log.debug("getMetadata(): vds error: ", err);
                            storageLayout.append("ERROR");
                        }

                        storageLayout.append("\nMAPS : " + vmaps);
                        if (vmaps > 0) {
                            for (long next = 0; next < vmaps; next++) {
                                try {
                                    H5.H5Pget_virtual_vspace(pcid, next);
                                    H5.H5Pget_virtual_srcspace(pcid, next);
                                    String fname = H5.H5Pget_virtual_filename(pcid, next);
                                    String dsetname = H5.H5Pget_virtual_dsetname(pcid, next);
                                    storageLayout.append("\n").append(fname).append(" : ").append(dsetname);
                                }
                                catch (Exception err) {
                                    log.debug("getMetadata(): vds space[{}] error: ", next, err);
                                    storageLayout.append("ERROR");
                                }
                            }
                        }
                    }
                    catch (Exception err) {
                        log.debug("getMetadata(): vds count error: ", err);
                        storageLayout.append("ERROR");
                    }
                }
                else {
                    chunkSize = null;
                    storageLayout.append("NONE");
                }

                int[] flags = { 0, 0 };
                long[] cdNelmts = { 20 };
                int[] cdValues = new int[(int) cdNelmts[0]];
                String[] cdName = { "", "" };
                log.trace("getMetadata(): {} filters in pipeline", nfilt);
                int filter = -1;
                int[] filterConfig = { 1 };

                filters.setLength(0);

                if (nfilt == 0) {
                    filters.append("NONE");
                }
                else {
                    for (int i = 0, k = 0; i < nfilt; i++) {
                        log.trace("getMetadata(): filter[{}]", i);
                        if (i > 0) {
                            filters.append(", ");
                        }
                        if (k > 0) {
                            compression.append(", ");
                        }

                        try {
                            cdNelmts[0] = 20;
                            cdValues = new int[(int) cdNelmts[0]];
                            cdValues = new int[(int) cdNelmts[0]];
                            filter = H5.H5Pget_filter(pcid, i, flags, cdNelmts, cdValues, 120, cdName, filterConfig);
                            log.trace("getMetadata(): filter[{}] is {} has {} elements ", i, cdName[0], cdNelmts[0]);
                            for (int j = 0; j < cdNelmts[0]; j++) {
                                log.trace("getMetadata(): filter[{}] element {} = {}", i, j, cdValues[j]);
                            }
                        }
                        catch (Exception err) {
                            log.debug("getMetadata(): filter[{}] error: ", i, err);
                            filters.append("ERROR");
                            continue;
                        }

                        if (filter == HDF5Constants.H5Z_FILTER_NONE) {
                            filters.append("NONE");
                        }
                        else if (filter == HDF5Constants.H5Z_FILTER_DEFLATE) {
                            filters.append("GZIP");
                            compression.append(COMPRESSION_GZIP_TXT + cdValues[0]);
                            k++;
                        }
                        else if (filter == HDF5Constants.H5Z_FILTER_FLETCHER32) {
                            filters.append("Error detection filter");
                        }
                        else if (filter == HDF5Constants.H5Z_FILTER_SHUFFLE) {
                            filters.append("SHUFFLE: Nbytes = ").append(cdValues[0]);
                        }
                        else if (filter == HDF5Constants.H5Z_FILTER_NBIT) {
                            filters.append("NBIT");
                        }
                        else if (filter == HDF5Constants.H5Z_FILTER_SCALEOFFSET) {
                            filters.append("SCALEOFFSET: MIN BITS = ").append(cdValues[0]);
                        }
                        else if (filter == HDF5Constants.H5Z_FILTER_SZIP) {
                            filters.append("SZIP");
                            compression.append("SZIP: Pixels per block = ").append(cdValues[1]);
                            k++;
                            int flag = -1;
                            try {
                                flag = H5.H5Zget_filter_info(filter);
                            }
                            catch (Exception ex) {
                                log.debug("getMetadata(): H5Zget_filter_info failure: ", ex);
                                flag = -1;
                            }
                            if (flag == HDF5Constants.H5Z_FILTER_CONFIG_DECODE_ENABLED) {
                                compression.append(": H5Z_FILTER_CONFIG_DECODE_ENABLED");
                            }
                            else if ((flag == HDF5Constants.H5Z_FILTER_CONFIG_ENCODE_ENABLED)
                                    || (flag >= (HDF5Constants.H5Z_FILTER_CONFIG_ENCODE_ENABLED + HDF5Constants.H5Z_FILTER_CONFIG_DECODE_ENABLED))) {
                                compression.append(": H5Z_FILTER_CONFIG_ENCODE_ENABLED");
                            }
                        }
                        else {
                            filters.append("USERDEFINED ").append(cdName[0]).append("(").append(filter).append("): ");
                            for (int j = 0; j < cdNelmts[0]; j++) {
                                if (j > 0)
                                    filters.append(", ");
                                filters.append(cdValues[j]);
                            }
                            log.debug("getMetadata(): filter[{}] is user defined compression", i);
                        }
                    } // (int i=0; i<nfilt; i++)
                }

                if (compression.length() == 0) {
                    compression.append("NONE");
                }
                log.trace("getMetadata(): filter compression={}", compression);
                log.trace("getMetadata(): filter information={}", filters);

                storage.setLength(0);
                storage.append("SIZE: ").append(storageSize);

                try {
                    int[] at = { 0 };
                    H5.H5Pget_alloc_time(pcid, at);
                    storage.append(", allocation time: ");
                    if (at[0] == HDF5Constants.H5D_ALLOC_TIME_EARLY) {
                        storage.append("Early");
                    }
                    else if (at[0] == HDF5Constants.H5D_ALLOC_TIME_INCR) {
                        storage.append("Incremental");
                    }
                    else if (at[0] == HDF5Constants.H5D_ALLOC_TIME_LATE) {
                        storage.append("Late");
                    }
                    else
                        storage.append("Default");
                }
                catch (Exception ex) {
                    log.debug("getMetadata(): Storage allocation time:", ex);
                }
                log.trace("getMetadata(): storage={}", storage);
            }
            finally {
                try {
                    H5.H5Pclose(paid);
                }
                catch (Exception ex) {
                    log.debug("getMetadata(): H5Pclose(paid {}) failure: ", paid, ex);
                }
                try {
                    H5.H5Pclose(pcid);
                }
                catch (Exception ex) {
                    log.debug("getMetadata(): H5Pclose(pcid {}) failure: ", pcid, ex);
                }
                close(did);
            }
        }

        return attributeList;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.DataFormat#writeMetadata(java.lang.Object)
     */
    @Override
    public void writeMetadata(Object info) throws Exception {
        // only attribute metadata is supported.
        if (!(info instanceof Attribute)) {
            log.debug("writeMetadata(): Object not an Attribute");
            return;
        }

        boolean attrExisted = false;
        Attribute attr = (Attribute) info;
        log.trace("writeMetadata(): {}", attr.getName());

        if (attributeList == null) {
            this.getMetadata();
        }

        if (attributeList != null)
            attrExisted = attributeList.contains(attr);

        getFileFormat().writeAttribute(this, attr, attrExisted);
        // add the new attribute into attribute list
        if (!attrExisted) {
            attributeList.add(attr);
            nAttributes = attributeList.size();
        }
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.DataFormat#removeMetadata(java.lang.Object)
     */
    @Override
    public void removeMetadata(Object info) throws HDF5Exception {
        // only attribute metadata is supported.
        if (!(info instanceof Attribute)) {
            log.debug("removeMetadata(): Object not an Attribute");
            return;
        }

        Attribute attr = (Attribute) info;
        log.trace("removeMetadata(): {}", attr.getName());
        long did = open();
        if (did >= 0) {
            try {
                H5.H5Adelete(did, attr.getName());
                List<Attribute> attrList = getMetadata();
                attrList.remove(attr);
                nAttributes = attrList.size();
            }
            finally {
                close(did);
            }
        }
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.DataFormat#updateMetadata(java.lang.Object)
     */
    @Override
    public void updateMetadata(Object info) throws HDF5Exception {
        // only attribute metadata is supported.
        if (!(info instanceof Attribute)) {
            log.debug("updateMetadata(): Object not an Attribute");
            return;
        }

        nAttributes = -1;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.HObject#setName(java.lang.String)
     */
    @Override
    public void setName(String newName) throws Exception {
        if (newName == null)
            throw new IllegalArgumentException("The new name is NULL");

        H5File.renameObject(this, newName);
        super.setName(newName);
    }

    /**
     * Resets selection of dataspace
     */
    private void resetSelection() {
        for (int i = 0; i < rank; i++) {
            startDims[i] = 0;
            selectedDims[i] = 1;
            if (selectedStride != null) {
                selectedStride[i] = 1;
            }
        }

        if (interlace == INTERLACE_PIXEL) {
            // 24-bit TRUE color image
            // [height][width][pixel components]
            selectedDims[2] = 3;
            selectedDims[0] = dims[0];
            selectedDims[1] = dims[1];
            selectedIndex[0] = 0; // index for height
            selectedIndex[1] = 1; // index for width
            selectedIndex[2] = 2; // index for depth
        }
        else if (interlace == INTERLACE_PLANE) {
            // 24-bit TRUE color image
            // [pixel components][height][width]
            selectedDims[0] = 3;
            selectedDims[1] = dims[1];
            selectedDims[2] = dims[2];
            selectedIndex[0] = 1; // index for height
            selectedIndex[1] = 2; // index for width
            selectedIndex[2] = 0; // index for depth
        }
        else if (rank == 1) {
            selectedIndex[0] = 0;
            selectedDims[0] = dims[0];
        }
        else if (rank == 2) {
            selectedIndex[0] = 0;
            selectedIndex[1] = 1;
            selectedDims[0] = dims[0];
            selectedDims[1] = dims[1];
        }
        else if (rank > 2) {
            // // hdf-java 2.5 version: 3D dataset is arranged in the order of
            // [frame][height][width] by default
            // selectedIndex[1] = rank-1; // width, the fastest dimension
            // selectedIndex[0] = rank-2; // height
            // selectedIndex[2] = rank-3; // frames

            //
            // (5/4/09) Modified the default dimension order. See bug#1379
            // We change the default order to the following. In most situation,
            // users want to use the natural order of
            // selectedIndex[0] = 0
            // selectedIndex[1] = 1
            // selectedIndex[2] = 2
            // Most of NPOESS data is the the order above.

            if (isImage) {
                // 3D dataset is arranged in the order of [frame][height][width]
                selectedIndex[1] = rank - 1; // width, the fastest dimension
                selectedIndex[0] = rank - 2; // height
                selectedIndex[2] = rank - 3; // frames
            }
            else {
                selectedIndex[0] = 0; // width, the fastest dimension
                selectedIndex[1] = 1; // height
                selectedIndex[2] = 2; // frames
            }

            selectedDims[selectedIndex[0]] = dims[selectedIndex[0]];
            selectedDims[selectedIndex[1]] = dims[selectedIndex[1]];
            selectedDims[selectedIndex[2]] = dims[selectedIndex[2]];
        }

        isDataLoaded = false;

        if ((rank > 1) && (selectedIndex[0] > selectedIndex[1]))
            isDefaultImageOrder = false;
        else
            isDefaultImageOrder = true;
    }

    public static Dataset create(String name, Group pgroup, Datatype type, long[] dims, long[] maxdims,
            long[] chunks, int gzip, Object data) throws Exception {
        return create(name, pgroup, type, dims, maxdims, chunks, gzip, null, data);
    }

    /**
     * Creates a scalar dataset in a file with/without chunking and compression.
     * <p>
     * The following example shows how to create a string dataset using this function.
     *
     * <pre>
     * H5File file = new H5File(&quot;test.h5&quot;, H5File.CREATE);
     * int max_str_len = 120;
     * Datatype strType = new H5Datatype(Datatype.CLASS_STRING, max_str_len, Datatype.NATIVE, Datatype.NATIVE);
     * int size = 10000;
     * long dims[] = { size };
     * long chunks[] = { 1000 };
     * int gzip = 9;
     * String strs[] = new String[size];
     *
     * for (int i = 0; i &lt; size; i++)
     *     strs[i] = String.valueOf(i);
     *
     * file.open();
     * file.createScalarDS(&quot;/1D scalar strings&quot;, null, strType, dims, null, chunks, gzip, strs);
     *
     * try {
     *     file.close();
     * }
     * catch (Exception ex) {
     * }
     * </pre>
     *
     * @param name
     *            the name of the dataset to create.
     * @param pgroup
     *            parent group where the new dataset is created.
     * @param type
     *            the datatype of the dataset.
     * @param dims
     *            the dimension size of the dataset.
     * @param maxdims
     *            the max dimension size of the dataset. maxdims is set to dims if maxdims = null.
     * @param chunks
     *            the chunk size of the dataset. No chunking if chunk = null.
     * @param gzip
     *            GZIP compression level (1 to 9). No compression if gzip&lt;=0.
     * @param fillValue
     *            the default data value.
     * @param data
     *            the array of data values.
     *
     * @return the new scalar dataset if successful; otherwise returns null.
     *
     * @throws Exception if there is a failure.
     */
    public static Dataset create(String name, Group pgroup, Datatype type, long[] dims, long[] maxdims,
            long[] chunks, int gzip, Object fillValue, Object data) throws Exception {
        H5ScalarDS dataset = null;
        String fullPath = null;
        long did = -1;
        long plist = -1;
        long sid = -1;
        long tid = -1;

        if ((pgroup == null) || (name == null) || (dims == null) || ((gzip > 0) && (chunks == null))) {
            log.debug("create(): one or more parameters are null");
            return null;
        }

        H5File file = (H5File) pgroup.getFileFormat();
        if (file == null) {
            log.debug("create(): parent group FileFormat is null");
            return null;
        }

        String path = HObject.SEPARATOR;
        if (!pgroup.isRoot()) {
            path = pgroup.getPath() + pgroup.getName() + HObject.SEPARATOR;
            if (name.endsWith("/")) {
                name = name.substring(0, name.length() - 1);
            }
            int idx = name.lastIndexOf('/');
            if (idx >= 0) {
                name = name.substring(idx + 1);
            }
        }

        fullPath = path + name;
        log.trace("create(): fullPath={}", fullPath);

        // setup chunking and compression
        boolean isExtentable = false;
        if (maxdims != null) {
            for (int i = 0; i < maxdims.length; i++) {
                if (maxdims[i] == 0) {
                    maxdims[i] = dims[i];
                }
                else if (maxdims[i] < 0) {
                    maxdims[i] = HDF5Constants.H5S_UNLIMITED;
                }

                if (maxdims[i] != dims[i]) {
                    isExtentable = true;
                }
            }
        }

        // HDF5 requires you to use chunking in order to define extendible
        // datasets. Chunking makes it possible to extend datasets efficiently,
        // without having to reorganize storage excessively. Using default size
        // of 64x...which has good performance
        if ((chunks == null) && isExtentable) {
            chunks = new long[dims.length];
            for (int i = 0; i < dims.length; i++)
                chunks[i] = Math.min(dims[i], 64);
        }

        // prepare the dataspace and datatype
        int rank = dims.length;
        log.trace("create(): rank={}", rank);

        if ((tid = type.createNative()) >= 0) {
            log.trace("create(): createNative={}", tid);
            try {
                sid = H5.H5Screate_simple(rank, dims, maxdims);
                log.trace("create(): H5Screate_simple={}", sid);

                // figure out creation properties
                plist = HDF5Constants.H5P_DEFAULT;

                byte[] valFill = null;
                try {
                    valFill = parseFillValue(type, fillValue);
                }
                catch (Exception ex) {
                    log.debug("create(): parse fill value: ", ex);
                }
                log.trace("create(): parseFillValue={}", valFill);

                if (chunks != null || valFill != null) {
                    plist = H5.H5Pcreate(HDF5Constants.H5P_DATASET_CREATE);

                    if (chunks != null) {
                        H5.H5Pset_layout(plist, HDF5Constants.H5D_CHUNKED);
                        H5.H5Pset_chunk(plist, rank, chunks);

                        // compression requires chunking
                        if (gzip > 0) {
                            H5.H5Pset_deflate(plist, gzip);
                        }
                    }

                    if (valFill != null) {
                        H5.H5Pset_fill_value(plist, tid, valFill);
                    }
                }

                long fid = file.getFID();

                log.trace("create(): create dataset fid={}", fid);
                did = H5.H5Dcreate(fid, fullPath, tid, sid, HDF5Constants.H5P_DEFAULT, plist, HDF5Constants.H5P_DEFAULT);
                log.trace("create(): create dataset did={}", did);
                dataset = new H5ScalarDS(file, name, path);
            }
            finally {
                try {
                    H5.H5Pclose(plist);
                }
                catch (HDF5Exception ex) {
                    log.debug("create(): H5Pclose(plist {}) failure: ", plist, ex);
                }
                try {
                    H5.H5Sclose(sid);
                }
                catch (HDF5Exception ex) {
                    log.debug("create(): H5Sclose(sid {}) failure: ", sid, ex);
                }
                try {
                    H5.H5Tclose(tid);
                }
                catch (HDF5Exception ex) {
                    log.debug("create(): H5Tclose(tid {}) failure: ", tid, ex);
                }
                try {
                    H5.H5Dclose(did);
                }
                catch (HDF5Exception ex) {
                    log.debug("create(): H5Dclose(did {}) failure: ", did, ex);
                }
            }
        }

        if (dataset != null) {
            pgroup.addToMemberList(dataset);
            if (data != null) {
                dataset.init();
                long[] selected = dataset.getSelectedDims();
                for (int i = 0; i < rank; i++) {
                    selected[i] = dims[i];
                }
                dataset.write(data);
            }
        }

        return dataset;
    }

    // check _FillValue, valid_min, valid_max, and valid_range
    private void checkCFconvention(long oid) throws Exception {
        Object avalue = getAttrValue(oid, "_FillValue");

        if (avalue != null) {
            int n = Array.getLength(avalue);
            for (int i = 0; i < n; i++)
                addFilteredImageValue((Number) Array.get(avalue, i));
        }

        if (imageDataRange == null || imageDataRange[1] <= imageDataRange[0]) {
            double x0 = 0;
            double x1 = 0;
            avalue = getAttrValue(oid, "valid_range");
            if (avalue != null) {
                try {
                    x0 = Double.parseDouble(java.lang.reflect.Array.get(avalue, 0).toString());
                    x1 = Double.parseDouble(java.lang.reflect.Array.get(avalue, 1).toString());
                    imageDataRange = new double[2];
                    imageDataRange[0] = x0;
                    imageDataRange[1] = x1;
                    return;
                }
                catch (Exception ex) {
                    log.debug("checkCFconvention(): valid_range: ", ex);
                }
            }

            avalue = getAttrValue(oid, "valid_min");
            if (avalue != null) {
                try {
                    x0 = Double.parseDouble(java.lang.reflect.Array.get(avalue, 0).toString());
                }
                catch (Exception ex) {
                    log.debug("checkCFconvention(): valid_min: ", ex);
                }
                avalue = getAttrValue(oid, "valid_max");
                if (avalue != null) {
                    try {
                        x1 = Double.parseDouble(java.lang.reflect.Array.get(avalue, 0).toString());
                        imageDataRange = new double[2];
                        imageDataRange[0] = x0;
                        imageDataRange[1] = x1;
                    }
                    catch (Exception ex) {
                        log.debug("checkCFconvention(): valid_max:", ex);
                    }
                }
            }
        } // (imageDataRange==null || imageDataRange[1]<=imageDataRange[0])
    }

    private Object getAttrValue(long oid, String aname) {
        log.trace("getAttrValue(): start: name={}", aname);

        long aid = -1;
        long atid = -1;
        long asid = -1;
        Object avalue = null;

        try {
            // try to find attribute name
            if(H5.H5Aexists_by_name(oid, ".", aname, HDF5Constants.H5P_DEFAULT))
                aid = H5.H5Aopen_by_name(oid, ".", aname, HDF5Constants.H5P_DEFAULT, HDF5Constants.H5P_DEFAULT);
        }
        catch (HDF5LibraryException ex5) {
            log.debug("getAttrValue(): Failed to find attribute {} : Expected", aname);
        }
        catch (Exception ex) {
            log.debug("getAttrValue(): try to find attribute {}:", aname, ex);
        }
        if (aid > 0) {
            try {
                atid = H5.H5Aget_type(aid);
                long tmptid = atid;
                atid = H5.H5Tget_native_type(tmptid);
                try {
                    H5.H5Tclose(tmptid);
                }
                catch (Exception ex) {
                    log.debug("getAttrValue(): H5Tclose(tmptid {}) failure: ", tmptid, ex);
                }
                H5Datatype dsDatatype = new H5Datatype(getFileFormat(), atid);

                asid = H5.H5Aget_space(aid);
                long adims[] = null;

                int arank = H5.H5Sget_simple_extent_ndims(asid);
                if (arank > 0) {
                    adims = new long[arank];
                    H5.H5Sget_simple_extent_dims(asid, adims, null);
                }
                log.trace("getAttrValue(): adims={}", adims);

                // retrieve the attribute value
                long lsize = 1;
                if (adims != null) {
                    for (int j = 0; j < adims.length; j++) {
                        lsize *= adims[j];
                    }
                }
                log.trace("getAttrValue(): lsize={}", lsize);

                if (lsize < Integer.MIN_VALUE || lsize > Integer.MAX_VALUE) throw new Exception("Invalid int size");

                try {
                    avalue = H5Datatype.allocateArray(dsDatatype, (int) lsize);
                }
                catch (OutOfMemoryError e) {
                    log.debug("getAttrValue(): out of memory: ", e);
                    avalue = null;
                }

                if (avalue != null) {
                    log.trace("getAttrValue(): read attribute id {} of size={}", atid, lsize);
                    H5.H5Aread(aid, atid, avalue);

                    if (dsDatatype.isUnsigned()) {
                        log.trace("getAttrValue(): id {} is unsigned", atid);
                        avalue = convertFromUnsignedC(avalue, null);
                    }
                }
            }
            catch (Exception ex) {
                log.debug("getAttrValue(): try to get value for attribute {}: ", aname, ex);
            }
            finally {
                try {
                    H5.H5Tclose(atid);
                }
                catch (HDF5Exception ex) {
                    log.debug("getAttrValue(): H5Tclose(atid {}) failure: ", atid, ex);
                }
                try {
                    H5.H5Sclose(asid);
                }
                catch (HDF5Exception ex) {
                    log.debug("getAttrValue(): H5Sclose(asid {}) failure: ", asid, ex);
                }
                try {
                    H5.H5Aclose(aid);
                }
                catch (HDF5Exception ex) {
                    log.debug("getAttrValue(): H5Aclose(aid {}) failure: ", aid, ex);
                }
            }
        } // (aid > 0)

        return avalue;
    }

    private boolean isStringAttributeOf(long objID, String name, String value) {
        boolean retValue = false;
        long aid = -1;
        long atid = -1;

        try {
            if (H5.H5Aexists_by_name(objID, ".", name, HDF5Constants.H5P_DEFAULT)) {
                aid = H5.H5Aopen_by_name(objID, ".", name, HDF5Constants.H5P_DEFAULT, HDF5Constants.H5P_DEFAULT);
                atid = H5.H5Aget_type(aid);
                int size = (int)H5.H5Tget_size(atid);
                byte[] attrValue = new byte[size];
                H5.H5Aread(aid, atid, attrValue);
                String strValue = new String(attrValue).trim();
                retValue = strValue.equalsIgnoreCase(value);
            }
        }
        catch (Exception ex) {
            log.debug("isStringAttributeOf(): try to find out interlace mode:", ex);
        }
        finally {
            try {
                H5.H5Tclose(atid);
            }
            catch (HDF5Exception ex) {
                log.debug("isStringAttributeOf(): H5Tclose(atid {}) failure: ", atid, ex);
            }
            try {
                H5.H5Aclose(aid);
            }
            catch (HDF5Exception ex) {
                log.debug("isStringAttributeOf(): H5Aclose(aid {}) failure: ", aid, ex);
            }
        }

        return retValue;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#copy(hdf.object.Group, java.lang.String, long[], java.lang.Object)
     */
    @Override
    public Dataset copy(Group pgroup, String dstName, long[] dims, Object buff) throws Exception {
        // must give a location to copy
        if (pgroup == null) {
            log.debug("copy(): Parent group is null");
            return null;
        }

        Dataset dataset = null;
        long srcdid = -1;
        long dstdid = -1;
        long plist = -1;
        long tid = -1;
        long sid = -1;
        String dname = null;
        String path = null;

        if (pgroup.isRoot()) {
            path = HObject.SEPARATOR;
        }
        else {
            path = pgroup.getPath() + pgroup.getName() + HObject.SEPARATOR;
        }
        dname = path + dstName;

        srcdid = open();
        if (srcdid >= 0) {
            try {
                tid = H5.H5Dget_type(srcdid);
                sid = H5.H5Screate_simple(dims.length, dims, null);
                plist = H5.H5Dget_create_plist(srcdid);

                long[] chunks = new long[dims.length];
                boolean setChunkFlag = false;
                try {
                    H5.H5Pget_chunk(plist, dims.length, chunks);
                    for (int i = 0; i < dims.length; i++) {
                        if (dims[i] < chunks[i]) {
                            setChunkFlag = true;
                            if (dims[i] == 1)
                                chunks[i] = 1;
                            else
                                chunks[i] = dims[i] / 2;
                        }
                    }
                }
                catch (Exception ex) {
                    log.debug("copy(): chunk: ", ex);
                }

                if (setChunkFlag)
                    H5.H5Pset_chunk(plist, dims.length, chunks);

                try {
                    dstdid = H5.H5Dcreate(pgroup.getFID(), dname, tid, sid, HDF5Constants.H5P_DEFAULT, plist,
                            HDF5Constants.H5P_DEFAULT);
                }
                catch (Exception e) {
                    log.debug("copy(): H5Dcreate: ", e);
                }
                finally {
                    try {
                        H5.H5Dclose(dstdid);
                    }
                    catch (Exception ex2) {
                        log.debug("copy(): H5Dclose(dstdid {}) failure: ", dstdid, ex2);
                    }
                }

                dataset = new H5ScalarDS(pgroup.getFileFormat(), dstName, path);
                if (buff != null) {
                    dataset.init();
                    dataset.write(buff);
                }

                dstdid = dataset.open();
                if (dstdid >= 0) {
                    try {
                        H5File.copyAttributes(srcdid, dstdid);
                    }
                    finally {
                        try {
                            H5.H5Dclose(dstdid);
                        }
                        catch (Exception ex) {
                            log.debug("copy(): H5Dclose(dstdid {}) failure: ", dstdid, ex);
                        }
                    }
                }
            }
            finally {
                try {
                    H5.H5Pclose(plist);
                }
                catch (Exception ex) {
                    log.debug("copy(): H5Pclose(plist {}) failure: ", plist, ex);
                }
                try {
                    H5.H5Sclose(sid);
                }
                catch (Exception ex) {
                    log.debug("copy(): H5Sclose(sid {}) failure: ", sid, ex);
                }
                try {
                    H5.H5Tclose(tid);
                }
                catch (Exception ex) {
                    log.debug("copy(): H5Tclose(tid {}) failure: ", tid, ex);
                }
                try {
                    H5.H5Dclose(srcdid);
                }
                catch (Exception ex) {
                    log.debug("copy(): H5Dclose(srcdid {}) failure: ", srcdid, ex);
                }
            }
        }

        pgroup.addToMemberList(dataset);

        if (dataset != null)
            ((ScalarDS) dataset).setIsImage(isImage);

        return dataset;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.ScalarDS#getPalette()
     */
    @Override
    public byte[][] getPalette() {
        if (palette == null) {
            palette = readPalette(0);
        }

        return palette;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.ScalarDS#getPaletteName(int)
     */
    @Override
    public String getPaletteName(int idx) {
        byte[] refs = getPaletteRefs();
        long did = -1;
        long palID = -1;
        String paletteName = null;

        if (refs == null) {
            log.debug("getPaletteName(): refs is null");
            return null;
        }

        byte[] refBuf = new byte[8];

        try {
            System.arraycopy(refs, idx * 8, refBuf, 0, 8);
        }
        catch (Exception err) {
            log.debug("getPaletteName(): arraycopy failure: ", err);
            return null;
        }

        did = open();
        if (did >= 0) {
            try {
                palID = H5.H5Rdereference(getFID(), HDF5Constants.H5P_DEFAULT, HDF5Constants.H5R_OBJECT, refBuf);
                paletteName = H5.H5Iget_name(palID);
            }
            catch (Exception ex) {
                ex.printStackTrace();
            }
            finally {
                close(palID);
                close(did);
            }
        }

        return paletteName;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.ScalarDS#readPalette(int)
     */
    @Override
    public byte[][] readPalette(int idx) {
        byte[][] thePalette = null;
        byte[] refs = getPaletteRefs();
        long did = -1;
        long palID = -1;
        long tid = -1;

        if (refs == null) {
            log.debug("readPalette(): refs is null");
            return null;
        }

        byte[] p = null;
        byte[] refBuf = new byte[8];

        try {
            System.arraycopy(refs, idx * 8, refBuf, 0, 8);
        }
        catch (Exception err) {
            log.debug("readPalette(): arraycopy failure: ", err);
            return null;
        }

        did = open();
        if (did >= 0) {
            try {
                palID = H5.H5Rdereference(getFID(), HDF5Constants.H5P_DEFAULT, HDF5Constants.H5R_OBJECT, refBuf);
                log.trace("readPalette(): H5Rdereference: {}", palID);
                tid = H5.H5Dget_type(palID);

                // support only 3*256 byte palette data
                if (H5.H5Dget_storage_size(palID) <= 768) {
                    p = new byte[3 * 256];
                    H5.H5Dread(palID, tid, HDF5Constants.H5S_ALL, HDF5Constants.H5S_ALL, HDF5Constants.H5P_DEFAULT, p);
                }
            }
            catch (HDF5Exception ex) {
                log.debug("readPalette(): failure: ", ex);
                p = null;
            }
            finally {
                try {
                    H5.H5Tclose(tid);
                }
                catch (HDF5Exception ex2) {
                    log.debug("readPalette(): H5Tclose(tid {}) failure: ", tid, ex2);
                }
                close(palID);
                close(did);
            }
        }

        if (p != null) {
            thePalette = new byte[3][256];
            for (int i = 0; i < 256; i++) {
                thePalette[0][i] = p[i * 3];
                thePalette[1][i] = p[i * 3 + 1];
                thePalette[2][i] = p[i * 3 + 2];
            }
        }

        return thePalette;
    }

    private static byte[] parseFillValue(Datatype type, Object fillValue) throws Exception {
        byte[] data = null;

        if (type == null || fillValue == null) {
            log.debug("parseFillValue(): datatype or fill value is null");
            return null;
        }

        int datatypeClass = type.getDatatypeClass();
        int datatypeSize = (int)type.getDatatypeSize();

        double valDbl = 0;
        String valStr = null;

        if (fillValue instanceof String) {
            valStr = (String) fillValue;
        }
        else if (fillValue.getClass().isArray()) {
            valStr = Array.get(fillValue, 0).toString();
        }

        if (!type.isString()) {
            try {
                valDbl = Double.parseDouble(valStr);
            }
            catch (NumberFormatException ex) {
                log.debug("parseFillValue(): parse error: ", ex);
                return null;
            }
        }

        try {
            switch (datatypeClass) {
                case Datatype.CLASS_INTEGER:
                case Datatype.CLASS_ENUM:
                case Datatype.CLASS_CHAR:
                    log.trace("parseFillValue(): class CLASS_INT-ENUM-CHAR");
                    if (datatypeSize == 1) {
                        data = new byte[] { (byte) valDbl };
                    }
                    else if (datatypeSize == 2) {
                        data = HDFNativeData.shortToByte((short) valDbl);
                    }
                    else if (datatypeSize == 8) {
                        data = HDFNativeData.longToByte((long) valDbl);
                    }
                    else {
                        data = HDFNativeData.intToByte((int) valDbl);
                    }
                    break;
                case Datatype.CLASS_FLOAT:
                    log.trace("parseFillValue(): class CLASS_FLOAT");
                    if (datatypeSize == 8) {
                        data = HDFNativeData.doubleToByte(valDbl);
                    }
                    else {
                        data = HDFNativeData.floatToByte((float) valDbl);
                    }
                    break;
                case Datatype.CLASS_STRING:
                    log.trace("parseFillValue(): class CLASS_STRING");
                    if (valStr != null)
                        data = valStr.getBytes();
                    break;
                case Datatype.CLASS_REFERENCE:
                    log.trace("parseFillValue(): class CLASS_REFERENCE");
                    data = HDFNativeData.longToByte((long) valDbl);
                    break;
                default:
                    log.debug("parseFillValue(): datatypeClass unknown");
                    break;
            } // (datatypeClass)
        }
        catch (Exception ex) {
            log.debug("parseFillValue(): failure: ", ex);
            data = null;
        }

        return data;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.ScalarDS#getPaletteRefs()
     */
    @Override
    public byte[] getPaletteRefs() {
        if (!isInited())
            init(); // init will be called to get refs

        return paletteRefs;
    }

    /**
     * reads references of palettes into a byte array Each reference requires eight bytes storage. Therefore, the array
     * length is 8*numberOfPalettes.
     */
    private byte[] getPaletteRefs(long did) {
        long aid = -1;
        long sid = -1;
        long atype = -1;
        int size = 0;
        int rank = 0;
        byte[] refbuf = null;

        try {
            if(H5.H5Aexists_by_name(did, ".", "PALETTE", HDF5Constants.H5P_DEFAULT)) {
                aid = H5.H5Aopen_by_name(did, ".", "PALETTE", HDF5Constants.H5P_DEFAULT, HDF5Constants.H5P_DEFAULT);
                sid = H5.H5Aget_space(aid);
                rank = H5.H5Sget_simple_extent_ndims(sid);
                size = 1;
                if (rank > 0) {
                    long[] dims = new long[rank];
                    H5.H5Sget_simple_extent_dims(sid, dims, null);
                    log.trace("getPaletteRefs(): rank={}, dims={}", rank, dims);
                    for (int i = 0; i < rank; i++) {
                        size *= (int) dims[i];
                    }
                }

                if ((size * 8) < Integer.MIN_VALUE || (size * 8) > Integer.MAX_VALUE) throw new HDF5Exception("Invalid int size");

                refbuf = new byte[size * 8];
                atype = H5.H5Aget_type(aid);

                H5.H5Aread(aid, atype, refbuf);
            }
        }
        catch (HDF5Exception ex) {
            log.debug("getPaletteRefs(): Palette attribute search failed: Expected", ex);
            refbuf = null;
        }
        finally {
            try {
                H5.H5Tclose(atype);
            }
            catch (HDF5Exception ex2) {
                log.debug("getPaletteRefs(): H5Tclose(atype {}) failure: ", atype, ex2);
            }
            try {
                H5.H5Sclose(sid);
            }
            catch (HDF5Exception ex2) {
                log.debug("getPaletteRefs(): H5Sclose(sid {}) failure: ", sid, ex2);
            }
            try {
                H5.H5Aclose(aid);
            }
            catch (HDF5Exception ex2) {
                log.debug("getPaletteRefs(): H5Aclose(aid {}) failure: ", aid, ex2);
            }
        }

        return refbuf;
    }

    /**
     * H5Dset_extent verifies that the dataset is at least of size size, extending it if necessary. The dimensionality
     * of size is the same as that of the dataspace of the dataset being changed.
     *
     * This function can be applied to the following datasets: 1) Any dataset with unlimited dimensions 2) A dataset
     * with fixed dimensions if the current dimension sizes are less than the maximum sizes set with maxdims (see
     * H5Screate_simple)
     *
     * @param newDims the dimension target size
     *
     * @throws HDF5Exception
     *             If there is an error at the HDF5 library level.
     */
    public void extend(long[] newDims) throws HDF5Exception {
        long did = -1;
        long sid = -1;

        did = open();
        if (did >= 0) {
            try {
                H5.H5Dset_extent(did, newDims);
                H5.H5Fflush(did, HDF5Constants.H5F_SCOPE_GLOBAL);
                sid = H5.H5Dget_space(did);
                long[] checkDims = new long[rank];
                H5.H5Sget_simple_extent_dims(sid, checkDims, null);
                log.trace("extend(): rank={}, checkDims={}", rank, checkDims);
                for (int i = 0; i < rank; i++) {
                    if (checkDims[i] != newDims[i]) {
                        log.debug("extend(): error extending dataset");
                        throw new HDF5Exception("error extending dataset " + getName());
                    }
                }
                dims = checkDims;
            }
            catch (Exception e) {
                log.debug("extend(): failure: ", e);
                throw new HDF5Exception(e.getMessage());
            }
            finally {
                if (sid > 0)
                    H5.H5Sclose(sid);

                close(did);
            }
        }
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#isVirtual()
     */
    @Override
    public boolean isVirtual() {
        return isVirtual;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#getVirtualFilename(int)
     */
    @Override
    public String getVirtualFilename(int index) {
        if(isVirtual)
            return virtualNameList.get(index);
        else
            return null;
    }

    /*
     * (non-Javadoc)
     *
     * @see hdf.object.Dataset#getVirtualMaps()
     */
    @Override
    public int getVirtualMaps() {
        if(isVirtual)
            return virtualNameList.size();
        else
            return -1;
    }
}