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/*-
* Copyright 2015, 2017 Diamond Light Source Ltd.
*
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Public License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*/
package org.eclipse.dawnsci.nexus;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.TreeMap;
import org.eclipse.dawnsci.analysis.api.tree.Attribute;
import org.eclipse.dawnsci.analysis.api.tree.DataNode;
import org.eclipse.dawnsci.analysis.api.tree.GroupNode;
import org.eclipse.dawnsci.analysis.api.tree.Node;
import org.eclipse.dawnsci.analysis.api.tree.NodeLink;
import org.eclipse.dawnsci.analysis.api.tree.Tree;
import org.eclipse.dawnsci.analysis.api.tree.TreeFile;
import org.eclipse.dawnsci.analysis.tree.TreeFactory;
import org.eclipse.january.DatasetException;
import org.eclipse.january.dataset.DTypeUtils;
import org.eclipse.january.dataset.Dataset;
import org.eclipse.january.dataset.DatasetFactory;
import org.eclipse.january.dataset.DatasetUtils;
import org.eclipse.january.dataset.ILazyDataset;
import org.eclipse.january.dataset.ILazyWriteableDataset;
import org.eclipse.january.dataset.LazyWriteableDataset;
import org.eclipse.january.dataset.Slice;
import org.eclipse.january.dataset.SliceND;
/**
* Utility methods for dealing with NeXus files.
*/
public class NexusUtils {
final static int CHUNK_TARGET_SIZE = 1024 * 1024; // 1 MB
final static ChunkingStrategy DEFAULT_CHUNK_STRATEGY = ChunkingStrategy.SKEW_LAST;
/**
* Possible strategies for estimating chunking
*/
public enum ChunkingStrategy {
/**
* Approximately balance chunking across all dimensions
* Better for slicing across multiple dimensions when processing.
*/
BALANCE,
/**
* Skew chunking toward later dimensions - maximally reduce earlier dimensions first
* Good for writing large detector images frame by frame.
*/
SKEW_LAST
}
/**
* Create a (top-level) NeXus augmented path
* @param name
* @param nxClass
* @return augmented path
*/
public static String createAugmentPath(String name, String nxClass) {
StringBuilder b = new StringBuilder();
if (!name.startsWith(Tree.ROOT))
b.append(Tree.ROOT);
return addToAugmentPath(b, name, nxClass).toString();
}
/**
* Add to a NeXus augmented path
* @param path
* @param name
* @param nxClass
* @return augmented path
*/
public static String addToAugmentPath(String path, String name, String nxClass) {
return addToAugmentPath(new StringBuilder(path), name, nxClass).toString();
}
/**
* Add to a NeXus augmented path
* @param path
* @param name
* @param nxClass
* @return augmented path
*/
public static StringBuilder addToAugmentPath(StringBuilder path, String name, String nxClass) {
if (name == null) {
throw new IllegalArgumentException("Name must not be null");
}
if (path.length() == 0) {
path.append(Tree.ROOT);
} else if (path.lastIndexOf(Node.SEPARATOR) != path.length() - 1) {
path.append(Node.SEPARATOR);
}
path.append(name);
if (nxClass != null) {
path.append(NexusFile.NXCLASS_SEPARATOR).append(nxClass);
}
return path;
}
/**
* Create a plain path by stripping out NXclasses
* @param augmentedPath
* @return plain path
*/
public static String stripAugmentedPath(String augmentedPath) {
int i;
while ((i = augmentedPath.indexOf(NexusFile.NXCLASS_SEPARATOR)) >= 0) {
int j = augmentedPath.indexOf(Node.SEPARATOR, i);
augmentedPath = j >= 0 ? augmentedPath.substring(0, i) + augmentedPath.substring(j)
: augmentedPath.substring(0, i);
}
return augmentedPath;
}
/**
* Get name of last part
* @param path
* @return name or null if path does not contain any {@value Node#SEPARATOR} or ends in that
*/
public static String getName(String path) {
if (path.endsWith(Node.SEPARATOR) || !path.contains(Node.SEPARATOR))
return null;
return path.substring(path.lastIndexOf(Node.SEPARATOR) + 1);
}
/**
* Create a lazy writeable dataset
* @param name
* @param clazz dataset element class
* @param shape
* @param maxShape
* @param chunks
* @return lazy writeable dataset
*/
public static ILazyWriteableDataset createLazyWriteableDataset(String name, Class clazz, int[] shape, int[] maxShape, int[] chunks) {
return new LazyWriteableDataset(name, clazz, shape, maxShape, chunks, null);
}
/**
* Create a lazy writeable dataset
* @param name
* @param dtype
* @param shape
* @param maxShape
* @param chunks
* @return lazy writeable dataset
* @deprecated Use {@link #createLazyWriteableDataset(String, Class, int[], int[], int[])}
*/
@Deprecated
public static ILazyWriteableDataset createLazyWriteableDataset(String name, int dtype, int[] shape, int[] maxShape, int[] chunks) {
return new LazyWriteableDataset(name, DTypeUtils.getElementClass(dtype), shape, maxShape, chunks, null);
}
/**
* Write the string into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @throws NexusException
*/
public static DataNode writeString(NexusFile file, GroupNode group, String name, String value) throws NexusException {
if (name == null || name.isEmpty() || value == null || value.isEmpty())
return null;
return write(file, group, name, value);
}
/**
* Write the integer into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @throws NexusException
*/
public static DataNode writeInteger(NexusFile file, GroupNode group, String name, int value) throws NexusException {
return write(file, group, name, value);
}
/**
* Write the integer array into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @throws NexusException
*/
public static DataNode writeIntegerArray(NexusFile file, GroupNode group, String name, int[] value) throws NexusException {
return write(file, group, name, value);
}
/**
* Write the double into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @throws NexusException
*/
public static DataNode writeDouble(NexusFile file, GroupNode group, String name, double value) throws NexusException {
return write(file, group, name, value);
}
/**
* Write the double into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @throws NexusException
*/
public static DataNode writeDoubleArray(NexusFile file, GroupNode group, String name, double[] value) throws NexusException {
return write(file, group, name, value);
}
/**
* Write the double into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @throws NexusException
*/
public static DataNode writeDoubleArray(NexusFile file, GroupNode group, String name, Double[] value) throws NexusException {
return write(file, group, name, value);
}
/**
* Write the double into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @param units
* @throws NexusException
*/
public static DataNode writeDouble(NexusFile file, GroupNode group, String name, double value, String units) throws NexusException {
DataNode node = write(file, group, name, value);
if (units != null) {
writeStringAttribute(file, node,NexusConstants.UNITS, units);
}
return node;
}
/**
* Write the object into a field called 'name' at the group in the NeXus file.
*
* @param file
* @param group
* @param name
* @param value
* @return data node
* @throws NexusException
*/
public static DataNode write(NexusFile file, GroupNode group, String name, Object value) throws NexusException {
if (value == null || name == null || name.isEmpty())
return null;
Dataset a = DatasetFactory.createFromObject(value);
a.setName(name);
DataNode d = null;
try {
d = file.createData(group, a);
} catch (NexusException e) {
d = file.getData(group, name);
ILazyWriteableDataset wd = d.getWriteableDataset();
try {
wd.setSlice(null, a, null);
} catch (Exception ex) {
throw new NexusException("Could not set slice", ex);
}
}
return d;
}
/**
* @param file
* @param node
* @param name
* @param value
* @throws NexusException
*/
public static void writeStringAttribute(NexusFile file, Node node, String name, String value) throws NexusException {
writeAttribute(file, node, name, value);
}
/**
* @param file
* @param node
* @param name
* @param value
* @throws NexusException
*/
public static void writeIntegerAttribute(NexusFile file, Node node, String name, int... value) throws NexusException {
writeAttribute(file, node, name, value);
}
/**
* @param file
* @param node
* @param name
* @param value
* @throws NexusException
*/
public static void writeDoubleAttribute(NexusFile file, Node node, String name, double... value) throws NexusException {
writeAttribute(file, node, name, value);
}
/**
* @param file
* @param node
* @param name
* @param value
* @throws NexusException
*/
public static void writeDoubleAttribute(NexusFile file, Node node, String name, Double... value) throws NexusException {
writeAttribute(file, node, name, value);
}
/**
* @param file
* @param node
* @param name
* @param value
* @throws NexusException
*/
public static void writeAttribute(NexusFile file, Node node, String name, Object value) throws NexusException {
if (value == null || name == null || name.isEmpty())
return;
Dataset a = DatasetFactory.createFromObject(value);
a.setName(name);
Attribute attr = file.createAttribute(a);
file.addAttribute(node, attr);
}
/**
* Loads the entire nexus tree structure into memory. Note that this does not
* necessarily load the contents of every dataset within the nexus file into memory,
* as some may be {@link ILazyDataset}s.
* @param filePath file path
* @return TreeFile tree file representing nexus tree
* @throws NexusException
*/
public static TreeFile loadNexusTree(NexusFile nexusFile) throws NexusException {
// TODO FIXME mattd 2016-02-11 should it be possible to do this without
// a NexusFile? or perhaps this method should even be on NexusFile itself
final String filePath = nexusFile.getFilePath();
final TreeFile treeFile = TreeFactory.createTreeFile(filePath.hashCode(), filePath);
final GroupNode rootNode = nexusFile.getGroup("/", false);
treeFile.setGroupNode(rootNode);
recursivelyLoadNexusTree(nexusFile, rootNode);
return treeFile;
}
private static void recursivelyLoadNexusTree(NexusFile nexusFile, GroupNode group) throws NexusException {
final Iterator nodeNames = group.getNodeNameIterator();
while (nodeNames.hasNext()) {
String nodeName = nodeNames.next();
if (group.containsGroupNode(nodeName)) {
// nexusFile.getGroup() causes that group to be populated
GroupNode childGroup = nexusFile.getGroup(group, nodeName, null, false);
recursivelyLoadNexusTree(nexusFile, childGroup);
} else if (group.containsDataNode(nodeName)) {
nexusFile.getData(group, nodeName);
}
}
}
private static int[] estimateChunkingBalanced(int[] expectedMaxShape,
int dataByteSize,
int[] fixedChunkDimensions,
int targetSize) {
if (expectedMaxShape == null) {
throw new NullPointerException("Must provide an expected shape");
}
if (fixedChunkDimensions != null && (expectedMaxShape.length != fixedChunkDimensions.length)) {
throw new IllegalArgumentException("Shape estimation and provided chunk information have different dimensions");
}
for (int d : expectedMaxShape) {
if (d <= 0) {
throw new IllegalArgumentException("Shape estimation must have dimensions greater than zero");
}
}
int[] chunks = Arrays.copyOf(expectedMaxShape, expectedMaxShape.length);
int[] fixed;
if (fixedChunkDimensions != null) {
fixed = fixedChunkDimensions;
} else {
fixed = new int[chunks.length];
Arrays.fill(fixed, -1);
}
for (int i = 0; i < chunks.length; i++) {
if (fixed[i] > 0) {
chunks[i] = fixed[i];
}
}
long currentSize = dataByteSize;
for (int i : chunks) {
currentSize *= (long) i;
}
int idx = 0;
boolean minimal = false;
while (currentSize > targetSize && !minimal) {
//check that our chunk estimation can continue being reduced
for (int i = 0; i < fixed.length; i++) {
minimal = true;
if (fixed[i] <= 0 && chunks[i] > 1) {
minimal = false;
break;
}
}
if (fixed[idx] <= 0) {
chunks[idx] = (int) Math.round(chunks[idx] / 2.0);
}
idx++;
idx %= chunks.length;
currentSize = dataByteSize;
for (int i : chunks) {
currentSize *= (long) i;
}
}
return chunks;
}
private static int[] estimateChunkingSkewed(int[] expectedMaxShape,
int dataByteSize,
int[] fixedChunkDimensions,
int targetSize) {
if (expectedMaxShape == null) {
throw new NullPointerException("Must provide an expected shape");
}
if (fixedChunkDimensions != null && (expectedMaxShape.length != fixedChunkDimensions.length)) {
throw new IllegalArgumentException("Shape estimation and provided chunk information have different dimensions");
}
for (int d : expectedMaxShape) {
if (d <= 0) {
throw new IllegalArgumentException("Shape estimation must have dimensions greater than zero");
}
}
int[] chunk = Arrays.copyOf(expectedMaxShape, expectedMaxShape.length);
int[] fixed = fixedChunkDimensions;
if (fixed == null) {
fixed = new int[chunk.length];
Arrays.fill(fixed, -1);
}
for (int i = 0; i < chunk.length; i++) {
if (fixed[i] > 0) {
chunk[i] = fixed[i];
}
}
long currentSize = dataByteSize;
for (int i : chunk) {
currentSize *= (long) i;
}
ArrayList toReduce = new ArrayList();
for (int i = 0; i < fixed.length; i++) {
if (fixed[i] < 1) toReduce.add(i);
}
outer_loop:
for (int idx : toReduce) {
while (chunk[idx] > 1) {
if (currentSize > targetSize) {
// round up to avoid needing an extra chunk to hold a tiny amount of data
chunk[idx] = (int) Math.ceil(chunk[idx] / 2.0);
currentSize = dataByteSize;
for (int c : chunk) {
currentSize *= (long) c;
}
} else {
// finished reducing chunk
break outer_loop;
}
}
}
return chunk;
}
/**
* Estimate suitable chunk parameters based on the expected final size of a dataset
*
* @param expectedMaxShape
* expected final size of the dataset
* @param dataByteSize
* size of each element in bytes
* @param fixedChunkDimensions
* provided dimensions in a chunk to be kept constant (-1 for no provided chunk)
* @param strategy
* strategy to use for estimating
* @return chunk estimate
*/
public static int[] estimateChunking(int[] expectedMaxShape,
int dataByteSize,
int[] fixedChunkDimensions,
ChunkingStrategy strategy) {
switch (strategy) {
case BALANCE:
return estimateChunkingBalanced(expectedMaxShape, dataByteSize, fixedChunkDimensions, CHUNK_TARGET_SIZE);
case SKEW_LAST:
default:
return estimateChunkingSkewed(expectedMaxShape, dataByteSize, fixedChunkDimensions, CHUNK_TARGET_SIZE);
}
}
/**
* Estimate suitable chunk parameters based on the expected final size of a dataset
* @param expectedMaxShape
* expected final size of the dataset
* @param dataByteSize
* size of each element in bytes
* @param strategy
* strategy to use for estimating
* @return chunk estimate
*/
public static int[] estimateChunking(int[] expectedMaxShape, int dataByteSize, ChunkingStrategy strategy) {
return estimateChunking(expectedMaxShape, dataByteSize, null, strategy);
}
/**
* Estimate suitable chunk parameters based on the expected final size of a dataset
*
* @param expectedMaxShape
* expected final size of the dataset
* @param dataByteSize
* size of each element in bytes
* @param fixedChunkDimensions
* provided dimensions in a chunk to be kept constant (-1 for no provided chunk)
* @return chunk estimate
*/
public static int[] estimateChunking(int[] expectedMaxShape, int dataByteSize, int[] fixedChunkDimensions) {
return estimateChunking(expectedMaxShape, dataByteSize, fixedChunkDimensions, DEFAULT_CHUNK_STRATEGY);
}
/**
* Estimate suitable chunk parameters based on the expected final size of a dataset
*
* @param expectedMaxShape
* expected final size of the dataset
* @param dataByteSize
* size of each element in bytes
* @return chunk estimate
*/
public static int[] estimateChunking(int[] expectedMaxShape, int dataByteSize) {
return estimateChunking(expectedMaxShape, dataByteSize, null, DEFAULT_CHUNK_STRATEGY);
}
/**
* Returns names of axes in group at same level as name passed in.
*
* This opens and safely closes a nexus file if one is not already open for this
* location.
*
* @param filePath
* @param nexusPath
* - path to signal dataset
* @param dimension,
* the dimension we want the axis for starting with 1
* @return
* @throws Exception
*/
public static List getAxisNames(String filePath, String nexusPath, int dimension) throws Exception {
if (filePath == null || nexusPath == null)
return null;
if (dimension < 1)
return null;
try (NexusFile file = ServiceHolder.getNexusFileFactory().newNexusFile(filePath)) {
file.openToRead();
DataNode signal = file.getData(nexusPath);
final List axesTmp = new ArrayList(3);
final Map axesMap = new TreeMap();
int[] shape = signal.getDataset().getShape();
if (dimension > shape.length)
return null;
final long size = shape[dimension - 1];
final String parentPath = file.getPath(signal).substring(0, file.getPath(signal).lastIndexOf(Node.SEPARATOR));
final GroupNode parent = file.getGroup(parentPath, false);
int fakePosValue = Integer.MAX_VALUE;
for (NodeLink child : parent) {
Node node = child.getDestination();
if (node instanceof DataNode) {
DataNode dataNode = (DataNode) node;
final Iterator att = dataNode.getAttributeIterator();
if (!(child.isDestinationData()))
continue;
if (child.getName().equals(signal.getDataset().getName()))
continue;
String axis = null;
int pos = -1;
boolean isSignal = false;
while (att.hasNext()) {
Attribute attribute = att.next();
if ("axis".equals(attribute.getName())) {
int iaxis = getAttributeIntValue(attribute);
if (iaxis < 0) { // We look for comma separated string
final int[] axesDims = attribute.getShape();
final int[] shapeAxes = dataNode.getDataset().getShape();
final int[] shapeData = shape;
if (axesDims != null && axesCompatible(axesDims, shapeAxes, shapeData)) {
for (int dim : axesDims) {
if (dim == dimension) {
axis = parentPath + Node.SEPARATOR + dataNode.getDataset().getName() + ":" + dimension;
break;
}
}
}
}
if (iaxis == dimension) {
final int[] dims = dataNode.getDataset().getShape();
if ((dims.length == 1 && dims[0] == size) || dims.length != 1) {
axis = parentPath + Node.SEPARATOR + dataNode.getDataset().getName();
}
}
} else if ("primary".equals(attribute.getName())) {
if (pos != 0)
pos = getAttributeIntValue(attribute);
} else if ("label".equals(attribute.getName())) {
int labelAxis = getAttributeIntValue(attribute);
if (labelAxis == dimension)
pos = 0;
} else if ("signal".equals(attribute.getName())) {
isSignal = true;
axis = null;
pos = -1;
break;
}
}
// prioritise datasets that specify an axes (even with no primary attribute)
// over other datasets
if (axis != null && pos == -1) {
pos = fakePosValue--;
}
// Add any the same shape as this dimension
// providing that they are not signals
// Some nexus files set axis wrong
if (axis == null && !isSignal) {
final int[] dims = dataNode.getDataset().getShape();
if (dims[0] == size && dims.length == 1) {
axis = parentPath + Node.SEPARATOR + dataNode.getDataset().getName();
}
}
if (axis != null) {
if (pos < 0) {
axesTmp.add(axis);
} else {
axesMap.put(pos, axis);
}
}
}
}
final List axes = new ArrayList(3);
if (!axesMap.isEmpty()) {
for (Integer pos : axesMap.keySet()) {
axes.add(axesMap.get(pos));
}
}
axes.addAll(axesTmp);
return axes;
}
}
/**
* Gets the int value or returns -1 (Can only be used for values which are not
* allowed to be -1!)
*
* @param attribute
* @return
*/
private static int getAttributeIntValue(Attribute attribute) {
if (attribute.isString()) {
return Integer.parseInt(attribute.getFirstElement());
}
final Dataset ob = DatasetUtils.convertToDataset(attribute.getValue());
return ob.getInt();
}
private static boolean axesCompatible(int[] axesDims, int[] shapeAxes, int[] shapeData) {
if (axesDims == null)
return false;
if (Arrays.equals(shapeAxes, shapeData))
return true;
for (int i = 0; i < axesDims.length; i++) {
if (shapeAxes[i] != shapeData[axesDims[i] - 1]) {
return false;
}
}
return true;
}
/**
* Compare object a as a scalar to String b by first converting b to a type
* that matches a.
*
* @see Comparable#compareTo(Object)
* @throws NumberFormatException
* if b can not be converted to the same type as a
*/
public static int compareScalarToString(Object a, String b)
throws NumberFormatException {
if (a instanceof Short) {
return ((Short) a).compareTo(Short.parseShort(b));
}
if (a instanceof Integer) {
return ((Integer) a).compareTo(Integer.parseInt(b));
}
if (a instanceof Long) {
return ((Long) a).compareTo(Long.parseLong(b));
}
if (a instanceof Character) {
return ((Character) a).toString().compareTo(b);
}
if (a instanceof Float) {
return ((Float) a).compareTo(Float.parseFloat(b));
}
if (a instanceof Double) {
return ((Double) a).compareTo(Double.parseDouble(b));
}
if (a instanceof Boolean) {
return ((Boolean) a).compareTo(Boolean.parseBoolean(b));
}
if (a instanceof Byte) {
return ((Byte) a).compareTo(Byte.valueOf(b));
}
if (a instanceof String) {
return ((String) a).compareTo(b);
}
String name;
if (a == null) {
name = "null";
} else {
name = "a.getClass().getName()";
}
throw new NumberFormatException("a has unknown type for conversion: "
+ name);
}
/**
* Compares the two scalar objects if they are the same type and Comparable
* using their compareTo method, else compares the toString value.
*
* @see Comparable#compareTo(Object)
*/
@SuppressWarnings({ "rawtypes", "unchecked" })
public static int compareScalars(Object a, Object b) {
if (a instanceof Comparable && b instanceof Comparable) {
Comparable ca = (Comparable) a;
Comparable cb = (Comparable) b;
if (a.getClass() == b.getClass())
return ca.compareTo(cb);
}
return a.toString().compareTo(b.toString());
}
/**
* Convert the size == 1 array to a scalar. Works on January data types Dataset
*
* @param value
* a January Dataset is expected
* @return the scalar value, or null if no scalar can be
* extracted
*/
public static Object extractScalarFromDataset(Object value) {
if (value instanceof Dataset) {
Dataset d = (Dataset) value;
return d.getSize() == 1 ? d.getObject() : null;
}
return null;
}
/**
* Append data to a dataset in group node. If data node does not exist then create one. This assumes
* that data is of a consistent rank R and will be appended to a shape with rank R+1 along the first
* dimension
* @param f Nexus file
* @param g group node
* @param a dataset
* @return data node
* @throws NexusException
* @throws DatasetException
*/
public static DataNode appendData(NexusFile f, GroupNode g, Dataset a) throws NexusException, DatasetException {
int r = a.getRank();
int[] ns = new int[r + 1];
ns[0] = 1;
System.arraycopy(a.getShapeRef(), 0, ns, 1, r);
String name = a.getName();
a = a.reshape(ns);
DataNode d = g.getDataNode(name);
if (d == null) {
int[] ms = ns.clone();
ms[0] = -1;
LazyWriteableDataset w = new LazyWriteableDataset(name, a.getElementClass(), ns, ms, null, null);
return f.createData(g, w);
}
ILazyWriteableDataset w = d.getWriteableDataset();
if (r != w.getRank() - 1) {
throw new IllegalArgumentException("Rank of input dataset must be " + (w.getRank() - 1) + " not " + r);
}
int[] cs = w.getShape();
SliceND slice = new SliceND(cs, w.getMaxShape(), new Slice(cs[0], cs[0] + 1));
w.setSlice(null, a, slice);
return d;
}
/**
* Load group and its subgroups to given maximum depth
* @param file
* @param path
* @param maxDepth
* @return group
* @throws NexusException
*/
public static GroupNode loadGroupFully(NexusFile file, String path, int maxDepth) throws NexusException {
// populate tree
GroupNode g = file.getGroup(path, false);
loadGroup(file, g, maxDepth);
return g;
}
private static void loadGroup(NexusFile file, GroupNode g, int maxDepth) throws NexusException {
if (maxDepth-- > 0) {
for (String n : g.getNames()) {
if (g.containsGroupNode(n)) {
loadGroup(file, file.getGroup(g, n, null, false), maxDepth);
}
}
}
}
public static Object[] getFillValue(Class clazz) {
if (clazz == Integer.class) {
return new Integer[] {0};
} else if (clazz == Long.class) {
return new Long[] {0L};
} else if (clazz == Double.class) {
return new Double[] {Double.NaN};
} else if (clazz == Float.class) {
return new Float[] {Float.NaN};
} else if (clazz == Short.class) {
return new Short[] {0};
} else if (clazz == Byte.class) {
return new Byte[] {0};
} else if (clazz == String.class) {
//TODO: change to "" when HDF supports strings as fill value
return null;
}
return null;
}
}
