float[][] vs double[][] in VisAD file form

Hi,

I was using Java serialization to save some FlatFields to a disk
cache file. I decided to switch this logic over to the VisADForm
binary writer. I noticed that the size of the FlatFields on disk
doubled with this scheme.

These FlatFields were populated with setSamples(float[][], boolean).
I did some experiments with VisADForm in serialization vs binary
mode, and with float[][] vs double[][], and I'm confused.

Below is my test program. And here is the output:

C:\java\test>java BinaryFieldSizeTest
Float files should be ~400000 bytes.
Double files should be ~800000 bytes.

C:\java\test>ls -l *.vad
-rw-r--r--    1 root     None       800271 Jul 21 16:58 binary-double.vad
-rw-r--r--    1 root     None       800271 Jul 21 16:58 binary-float.vad
-rw-r--r--    1 root     None       403626 Jul 21 16:58 serial-double.vad
-rw-r--r--    1 root     None       403626 Jul 21 16:58 serial-float.vad

It doesn't seem to matter if the FlatField has double[][] samples
or float[][] samples. And the binary version is twice as large as
the serialized version. In particular, it is disconcerting that
the "serial-double.vad" is twice as small as it should be.

Is something wrong with my code? Or is this behavior a bug? Is
there an easy way around the problem? Is there an easy fix that
could be applied to the VisADForm writer?

Thanks,
Curtis

---------
//
// BinaryFieldSizeTest.java
//

import visad.*;
import visad.data.visad.VisADForm;

public class BinaryFieldSizeTest {

  public static void main(String[] args) throws Exception {
    int cx = 500;
    int cy = 200;
    int count = cx * cy;
    double[][] sampsD = new double[1][count];
    float[][] sampsF = new float[1][count];
    for (int i=0; i<count; i++) {
      sampsD[0][i] = count * Math.random();
      sampsF[0][i] = (float) sampsD[0][i];
    }

    RealType x = RealType.getRealType("x");
    RealType y = RealType.getRealType("y");
    RealTupleType xy = new RealTupleType(x, y);
    RealType value = RealType.getRealType("value");
    FunctionType ftype = new FunctionType(xy, value);
    Integer2DSet fset = new Integer2DSet(xy, cx, cy);

    FlatField fieldD = new FlatField(ftype, fset);
    fieldD.setSamples(sampsD, false);

    FlatField fieldF = new FlatField(ftype, fset);
    fieldF.setSamples(sampsF, false);

    VisADForm binaryD = new VisADForm(true);
    binaryD.save("binary-double.vad", fieldD, true);

    VisADForm serialD = new VisADForm(false);
    serialD.save("serial-double.vad", fieldD, true);

    VisADForm binaryF = new VisADForm(true);
    binaryF.save("binary-float.vad", fieldF, true);

    VisADForm serialF = new VisADForm(false);
    serialF.save("serial-float.vad", fieldF, true);

    int sizeF = 4 * count;
    System.out.println("Float files should be ~" + sizeF + " bytes.");

    int sizeD = 8 * count;
    System.out.println("Double files should be ~" + sizeD + " bytes.");
  }

}


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