/*
* @(#)ReadFits.java $Revision: 1.5 $ $Date: 2007-01-04 09:32:23 $
*
* Copyright (C) 1999 European Southern Observatory
* License: GNU General Public License version 2 or later
*/
package org.eso.fits;
import java.util.*;
import java.io.*;
/** TestFits class provides a static main method for testing the
* FITS class library. It also shows a typical usage of the
* classes.
*
* @version $Id: TestFits.java,v 1.5 2007-01-04 09:32:23 pgrosbol Exp $
* @author P.Grosbol, ESO, <pgrosbol@eso.org>
*/
public class TestFits{
/** Static method for testing the FITS class library.
*
* @param argv array of arguments i.e. FITS files
*/
public static void main(String[] argv) {
if (argv.length < 1) {
System.out.println("Error: must have at least one argument");
System.exit(1);
}
System.out.println("-- Test FITS files --------");
FitsFile file = null;
for (int na=0; na<argv.length; na++) {
try {
file = new FitsFile(argv[na]);
} catch (FitsException e) {
System.out.println("Error: is not a FITS file >"
+ argv[na] + "<");
continue;
} catch (IOException e) {
System.out.println("Error: cannot open file >"
+ argv[na] + "<");
continue;
}
int noHDU = file.getNoHDUnits();
System.out.println("FITS file has " + noHDU + " HDUnits");
for (int i=0; i<noHDU; i++) {
FitsHDUnit hdu = file.getHDUnit(i);
FitsHeader hdr = hdu.getHeader();
int noKw = hdr.getNoKeywords();
int type = hdr.getType();
int size = (int) hdr.getDataSize();
System.out.println(" " + i + ": >" + hdr.getName()
+ "< of type >" + Fits.getType(type)
+ "< with " + noKw + " keywords"
+ " and " + size + " bytes of data");
System.out.println(" Keywords:");
ListIterator itr = hdr.getKeywords();
while (itr.hasNext()) {
FitsKeyword kw = (FitsKeyword) itr.next();
System.out.print(" " + kw.getName());
switch (kw.getType()) {
case FitsKeyword.COMMENT:
System.out.print("(C) " + kw.getComment());
break;
case FitsKeyword.STRING:
System.out.print("(S)= '" + kw.getString() + "'");
break;
case FitsKeyword.BOOLEAN:
System.out.print("(B)= " + kw.getBool());
break;
case FitsKeyword.INTEGER:
System.out.print("(I)= " + kw.getInt());
break;
case FitsKeyword.REAL:
System.out.print("(R)= " + kw.getReal());
break;
case FitsKeyword.DATE:
System.out.print("(D)= " + kw.getString());
break;
default:
}
if (0<kw.getComment().length()
&& (kw.getType()!=FitsKeyword.COMMENT)) {
System.out.print(" / " + kw.getComment());
}
System.out.println();
}
if (type == Fits.IMAGE) {
System.out.println("\n Check data matrix "
+ "- compute mean and rms");
FitsMatrix dm = (FitsMatrix) hdu.getData();
int naxis[] = dm.getNaxis();
double crval[] = dm.getCrval();
double crpix[] = dm.getCrpix();
double cdelt[] = dm.getCdelt();
System.out.println(" Dimension of matrix: "
+ naxis.length);
for (int n=0; n<naxis.length; n++)
System.out.println(" Axis " + n + ": " + naxis[n]
+ ", " + crpix[n] + ", "
+ crval[n] + ", " + cdelt[n]);
System.out.println("\n");
int nv, off, npix;
int nval = dm.getNoValues();
if (0<nval) {
int ncol = naxis[0];
int nrow = nval/ncol;
System.out.println(" Npixel,row,col: " + nval
+ ", " + nrow + ", " + ncol);
float data[] = new float[ncol];
double mean, rms, val;
off = nv = npix = 0 ;
mean = rms = 0.0;
long time = System.currentTimeMillis();
for (int nr=0; nr<nrow; nr++) {
try {
dm.getFloatValues(off, ncol, data);
for (int n = 0; n<ncol; n++) {
val = data[n];
npix++;
mean += val;
rms += val*val;
}
} catch (FitsException e) {
}
off += ncol;
}
mean = mean/npix;
rms = rms/npix - mean*mean;
rms = ((0.0<rms) ? Math.sqrt(rms) : 0.0);
float dtime =
(float) (1000.0*(System.currentTimeMillis()-time)/
((double) nval));
System.out.println(" Mean: " + (float)mean +
", rms: " + (float)rms +
", Time: " + dtime
+ " S/Mp, Pixels: " + npix);
}
} else if (type==Fits.BTABLE || type==Fits.ATABLE) {
System.out.println("\n Check table data - list columns");
FitsTable dm = (FitsTable) hdu.getData();
int nrow = dm.getNoRows();
int ncol = dm.getNoColumns();
FitsColumn col[] = new FitsColumn[ncol];
System.out.println(" Columns: " + ncol
+ ", Rows: " + nrow);
for (int n=0; n<ncol; n++) {
col[n] = dm.getColumn
;
System.out.print(" " + n + " >"
+ col[n].getLabel() + "<, ");
System.out.print(col[n].getRepeat() + " ");
System.out.print(col[n].getDataType() + ", >");
System.out.print(col[n].getDisplay() + "<, >");
System.out.println(col[n].getUnit() + "<");
if (col[n].getDataType() == 'F'
|| col[n].getDataType() == 'E'
|| col[n].getDataType() == 'D') {
int npix = 0;
double mean, rms, val;
mean = rms = 0.0;
long time = System.currentTimeMillis();
for (int nr=0; nr<nrow; nr++) {
val = col[n].getReal(nr);
if (Double.isNaN(val)) continue;
npix++;
mean += val;
rms += val*val;
}
float dtime =
(float) (1000.0*(System.currentTimeMillis()
-time)/((double) nrow));
mean = mean/npix;
rms = rms/npix - mean*mean;
rms = ((0.0<rms) ? Math.sqrt(rms) : 0.0);
System.out.println(" no,mean,rms: " + npix
+ ", " + (float)mean + ", "
+ (float)rms + "; "
+ dtime + " S/Mp");
} else if (col[n].getDataType() == 'I'
|| col[n].getDataType() == 'J'
|| col[n].getDataType() == 'B') {
int npix = 0;
double mean, rms, val;
mean = rms = 0.0;
long time = System.currentTimeMillis();
for (int nr=0; nr<nrow; nr++) {
val = col[n].getInt(nr);
if (val == Long.MIN_VALUE) continue;
npix++;
mean += val;
rms += val*val;
}
float dtime =
(float) (1000.0*(System.currentTimeMillis()
-time)/((double) nrow));
mean = mean/npix;
rms = rms/npix - mean*mean;
rms = ((0.0<rms) ? Math.sqrt(rms) : 0.0);
System.out.println(" no,mean,rms: " + npix
+ ", " + (float)mean + ", "
+ (float)rms + "; "
+ dtime + " S/Mp");
}
}
}
}
System.out.println("-- Test finished -----------------");
}
System.exit(0);
}
}
