
nom.tam.fits.RandomGroupsData Maven / Gradle / Ivy
Show all versions of nom-tam-fits Show documentation
package nom.tam.fits;
/*-
* #%L
* nom.tam.fits
* %%
* Copyright (C) 1996 - 2024 nom-tam-fits
* %%
* This is free and unencumbered software released into the public domain.
*
* Anyone is free to copy, modify, publish, use, compile, sell, or
* distribute this software, either in source code form or as a compiled
* binary, for any purpose, commercial or non-commercial, and by any
* means.
*
* In jurisdictions that recognize copyright laws, the author or authors
* of this software dedicate any and all copyright interest in the
* software to the public domain. We make this dedication for the benefit
* of the public at large and to the detriment of our heirs and
* successors. We intend this dedication to be an overt act of
* relinquishment in perpetuity of all present and future rights to this
* software under copyright law.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
* IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR
* OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
* ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
* OTHER DEALINGS IN THE SOFTWARE.
* #L%
*/
import java.io.IOException;
import java.lang.reflect.Array;
import nom.tam.fits.header.Bitpix;
import nom.tam.fits.header.Standard;
import nom.tam.util.ArrayDataInput;
import nom.tam.util.ArrayDataOutput;
import nom.tam.util.ArrayFuncs;
import nom.tam.util.Cursor;
import nom.tam.util.FitsEncoder;
import edu.umd.cs.findbugs.annotations.SuppressFBWarnings;
/**
* Random Groups data. The use of random groups is discouraged, even by the FITS standard. Some old radio data may be
* packaged in this format. Thus apart from provided limited support for reading such data, users should not create
* random groups anew. {@link BinaryTable} offers a much more flexible and capable way for storing an ensemble of
* parameters, arrays, and more.
*
* Random groups are instantiated as a two-dimensional array of objects. The first dimension of the array is the number
* of groups. The second dimension is 2. The first object in every row is a one dimensional parameter array. The second
* element is the n-dimensional data array.
*
* @see BinaryTable
*/
public class RandomGroupsData extends Data {
private int groups;
private Object[] sampleRow;
private Object[][] dataArray;
/**
* Create the equivalent of a null data element.
*/
public RandomGroupsData() {
dataArray = new Object[0][];
}
/**
* Constructor used by RandomGroupsHDU only...
*
* @param gcount The number of parameter groups
* @param sampleRow The 2-element array of a sample group.
*
* @since 1.18
*/
RandomGroupsData(int gcount, Object[] sampleRow) {
this();
groups = gcount;
this.sampleRow = sampleRow;
}
/**
* Create a RandomGroupsData object using the specified object to initialize the data array.
*
* @param x The initial data array. This should a two-d array of objects as described above.
*
* @throws IllegalArgumentException if the second array dimension is specified and it is not 2, or if the parameter
* arrya is not 1-dimensional, or if the parameter and data types differ.
*/
@SuppressFBWarnings(value = "EI_EXPOSE_REP", justification = "intended exposure of mutable data")
public RandomGroupsData(Object[][] x) throws IllegalArgumentException {
dataArray = x == null ? new Object[0][] : x;
groups = dataArray.length;
if (groups > 0) {
if (dataArray[0].length != 2) {
throw new IllegalArgumentException("Second array dimension must be 2");
}
if (Array.getLength(ArrayFuncs.getDimensions(dataArray[0][0])) != 1) {
throw new IllegalArgumentException("Expected 1D parameter array.");
}
if (dataArray[0][1] != null) {
Class> pbase = ArrayFuncs.getBaseClass(dataArray[0][0]);
Class> dbase = ArrayFuncs.getBaseClass(dataArray[0][1]);
if (pbase != dbase) {
throw new IllegalArgumentException(
"Mismatched parameters and data types (" + pbase.getName() + " vs " + dbase.getName() + ")");
}
}
sampleRow = new Object[2];
sampleRow[0] = ArrayFuncs.deepClone(dataArray[0][0]);
sampleRow[1] = ArrayFuncs.deepClone(dataArray[0][1]);
}
}
/**
* Returns the Java class of the the parameter and data array elements.
*
* @return The java class of the parameter and data elements.
*
* @since 1.18
*/
public Class> getElementType() {
return sampleRow == null ? null : ArrayFuncs.getBaseClass(sampleRow[0]);
}
/**
* Returns the dimensions of the grouped parameters
*
* @return The dimensions of the parameters or -1 if not defined.
*
* @see #getDataDims()
*
* @since 1.18
*/
public int getParameterCount() {
return sampleRow == null ? -1 : Array.getLength(sampleRow[0]);
}
/**
* Returns the dimensions of the grouped data
*
* @return The dimensions of the parameters, or null
if not defined.
*
* @see #getParameterCount()
*
* @since 1.18
*/
public int[] getDataDims() {
return sampleRow == null ? null : ArrayFuncs.getDimensions(sampleRow[1]);
}
@SuppressWarnings("deprecation")
@Override
protected void fillHeader(Header h) throws FitsException {
if (groups <= 0) {
throw new FitsException("Invalid (empty) random group data");
}
Standard.context(RandomGroupsData.class);
// We'll assume it's a primary image, until we know better...
// Just in case, we don't want an XTENSION key lingering around...
h.deleteKey(Standard.XTENSION);
Cursor c = h.iterator();
c.add(HeaderCard.create(Standard.SIMPLE, true));
c.add(HeaderCard.create(Standard.BITPIX, Bitpix.forPrimitiveType(getElementType()).getHeaderValue()));
int[] dims = getDataDims();
c.add(HeaderCard.create(Standard.NAXIS, dims.length + 1));
h.addValue(Standard.NAXIS1, 0);
for (int i = 1; i <= dims.length; i++) {
c.add(HeaderCard.create(Standard.NAXISn.n(i + 1), dims[dims.length - i]));
}
// Just in case!
c.add(HeaderCard.create(Standard.GROUPS, true));
c.add(HeaderCard.create(Standard.PCOUNT, getParameterCount()));
c.add(HeaderCard.create(Standard.GCOUNT, groups));
c.add(HeaderCard.create(Standard.EXTEND, true));
Standard.context(null);
}
@Override
protected long getTrueSize() {
if (sampleRow == null) {
return 0;
}
return (FitsEncoder.computeSize(sampleRow[0]) + FitsEncoder.computeSize(sampleRow[1])) * groups;
}
@Override
public boolean isEmpty() {
return dataArray.length == 0;
}
@Override
protected void loadData(ArrayDataInput in) throws IOException {
dataArray = new Object[groups][2];
for (int i = 0; i < groups; i++) {
dataArray[i][0] = ((Object[]) ArrayFuncs.deepClone(sampleRow))[0];
dataArray[i][1] = ((Object[]) ArrayFuncs.deepClone(sampleRow))[1];
}
in.readImage(dataArray);
}
@Override
protected Object[][] getCurrentData() {
return dataArray;
}
@Override
public Object[][] getData() throws FitsException {
return (Object[][]) super.getData();
}
@SuppressWarnings({"resource", "deprecation"})
@Override
public void write(ArrayDataOutput str) throws FitsException {
if (getTrueSize() <= 0) {
return;
}
if (str != getRandomAccessInput()) {
ensureData();
}
try {
str.writeArray(dataArray);
FitsUtil.pad(str, getTrueSize());
} catch (IOException e) {
throw new FitsException("IO error writing random groups data ", e);
}
}
@SuppressWarnings("deprecation")
@Override
public RandomGroupsHDU toHDU() throws FitsException {
Header h = new Header();
fillHeader(h);
return new RandomGroupsHDU(h, this);
}
/**
* Returns the image component stored in the specified group.
*
* @param group The zero-based group index
*
* @return The image array for the specified group
*
* @throws ArrayIndexOutOfBoundsException if the group index is out of bounds
* @throws FitsException if the deferred data could not be loaded.
*
* @see RandomGroupsHDU#getParameter(String, int)
*
* @since 1.19
*/
public Object getImage(int group) throws ArrayIndexOutOfBoundsException, FitsException {
ensureData();
return dataArray[group][1];
}
Object getParameterArray(int group) throws ArrayIndexOutOfBoundsException, FitsException {
ensureData();
return dataArray[group][0];
}
}