nom.tam.image.compression.hdu.CompressedTableHDU Maven / Gradle / Ivy
package nom.tam.image.compression.hdu;
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import static nom.tam.fits.header.Compression.ZTABLE;
import nom.tam.fits.BinaryTable;
import nom.tam.fits.BinaryTableHDU;
import nom.tam.fits.FitsException;
import nom.tam.fits.Header;
import nom.tam.fits.HeaderCard;
import nom.tam.fits.header.Standard;
import nom.tam.util.Cursor;
import nom.tam.util.type.PrimitiveTypes;
public class CompressedTableHDU extends BinaryTableHDU {
/**
* Prepare a compressed binary table HDU for the specified binary table.
* When the tile row size is specified with -1, the value will be set ti the
* number of rows in the table. The table will be compressed in "rows" that
* are defined by the tile size. Next step would be to set the compression
* options into the HDU and then compress it.
*
* @param binaryTableHDU
* the binary table to compress
* @param tileRows
* the number of rows that should be compressed per tile.
* @param columnCompressionAlgorithms
* the compression algorithms to use for the columns (optional
* default compression will be used if a column has no
* compression specified)
* @return the prepared compressed binary table HDU.
* @throws FitsException
* if the binary table could not be used to create a compressed
* binary table.
*/
public static CompressedTableHDU fromBinaryTableHDU(BinaryTableHDU binaryTableHDU, int tileRows, String... columnCompressionAlgorithms) throws FitsException {
Header header = new Header();
CompressedTableData compressedData = new CompressedTableData();
int rowsPerTile = tileRows > 0 ? tileRows : binaryTableHDU.getData().getNRows();
compressedData.setRowsPerTile(rowsPerTile);
compressedData.fillHeader(header);
Cursor headerIterator = header.iterator();
Cursor imageIterator = binaryTableHDU.getHeader().iterator();
while (imageIterator.hasNext()) {
HeaderCard card = imageIterator.next();
BackupRestoreUnCompressedHeaderCard.restore(card, headerIterator);
}
CompressedTableHDU compressedImageHDU = new CompressedTableHDU(header, compressedData);
compressedData.setColumnCompressionAlgorithms(columnCompressionAlgorithms);
compressedData.prepareUncompressedData(binaryTableHDU.getData().getData());
return compressedImageHDU;
}
/**
* Check that this HDU has a valid header for this type.
*
* @param hdr
* header to check
* @return true
if this HDU has a valid header.
*/
public static boolean isHeader(Header hdr) {
return hdr.getBooleanValue(ZTABLE, false);
}
public static CompressedTableData manufactureData(Header hdr) throws FitsException {
return new CompressedTableData(hdr);
}
public CompressedTableHDU(Header hdr, CompressedTableData datum) {
super(hdr, datum);
}
public BinaryTableHDU asBinaryTableHDU() throws FitsException {
Header header = new Header();
header.addValue(Standard.XTENSION, Standard.XTENSION_BINTABLE);
header.addValue(Standard.BITPIX, PrimitiveTypes.BYTE.bitPix());
header.addValue(Standard.NAXIS, 2);
Cursor headerIterator = header.iterator();
Cursor iterator = getHeader().iterator();
while (iterator.hasNext()) {
HeaderCard card = iterator.next();
BackupRestoreUnCompressedHeaderCard.backup(card, headerIterator);
}
BinaryTable data = BinaryTableHDU.manufactureData(header);
BinaryTableHDU tableHDU = new BinaryTableHDU(header, data);
getData().asBinaryTable(data, getHeader(), header);
return tableHDU;
}
public CompressedTableHDU compress() throws FitsException {
getData().compress(getHeader());
return this;
}
@Override
public CompressedTableData getData() {
return (CompressedTableData) super.getData();
}
}
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