/*
* Copyright 1998-2009 University Corporation for Atmospheric Research/Unidata
*
* Portions of this software were developed by the Unidata Program at the
* University Corporation for Atmospheric Research.
*
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* any fee or cost, to use, copy, modify, alter, enhance and distribute
* this software, and any derivative works thereof, and its supporting
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package ucar.nc2.dataset;
import ucar.ma2.InvalidRangeException;
import ucar.ma2.*;
import ucar.nc2.TestAll;
import ucar.nc2.Variable;
import ucar.nc2.NetcdfFile;
import java.io.IOException;
import java.util.EnumSet;
import java.util.Set;
import junit.framework.TestCase;
import timing.Average;
/**
* Class Description.
*
* @author caron
* @since Jun 4, 2008
*/
public class TimeScaleOffsetMissing extends TestCase {
public TimeScaleOffsetMissing( String name) {
super(name);
}
int N = 10;
public void testScaleOffset() throws IOException, InvalidRangeException {
Average all = new Average();
Average alldefer = new Average();
Average sm = new Average();
Average smNoNans = new Average();
Average coords = new Average();
Average none = new Average();
Average file = new Average();
// warm up
openDataset(NetcdfDataset.getEnhanceAll(), null);
openFile(null);
for (int i=0; i<N; i++) {
openDataset(NetcdfDataset.getEnhanceAll(), all);
openDataset(NetcdfDataset.parseEnhanceMode("AllDefer"), alldefer);
openDataset(NetcdfDataset.parseEnhanceMode("ScaleMissing"), sm);
NetcdfDataset.setUseNaNs(false);
openDataset(NetcdfDataset.parseEnhanceMode("ScaleMissing"), smNoNans);
openDataset(NetcdfDataset.parseEnhanceMode("CoordSystems"), coords);
openDataset(null, none);
openFile(file);
}
System.out.println(" all enhance="+all);
System.out.println(" all defer ="+alldefer);
System.out.println("scaleMissing="+sm);
System.out.println(" smNoNans ="+smNoNans);
System.out.println(" coords ="+coords);
System.out.println(" none ="+none);
System.out.println(" open File ="+file);
}
public void openFile(Average avg) throws IOException, InvalidRangeException {
long start = System.nanoTime();
NetcdfFile ncfile = NetcdfDataset.openFile(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", null);
Variable v = ncfile.findVariable("qc");
assert null != v;
assert v.getDataType() == DataType.BYTE;
Array data = v.read();
assert data.getElementType() == byte.class;
double sum = MAMath.sumDoubleSkipMissingData(data, Double.NaN);
long end = System.nanoTime();
double took = (double)((end - start))/1000/1000/1000;
double perelem = (double)((end - start)) / data.getSize();
//System.out.println(sum+" "+enhance+" took="+took+" secs; size= "+data.getSize()+"; nanosecs/elem= "+perelem);
ncfile.close();
if (avg != null) avg.add(took);
}
public void openDataset(Set<NetcdfDataset.Enhance> enhance, Average avg) throws IOException, InvalidRangeException {
long start = System.nanoTime();
NetcdfDataset ncd = NetcdfDataset.openDataset(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", enhance, -1, null, null);
Variable v = ncd.findVariable("qc");
assert null != v;
Array data = v.read();
double sum = MAMath.sumDoubleSkipMissingData(data, Double.NaN);
long end = System.nanoTime();
double took = (double)((end - start))/1000/1000/1000;
double perelem = (double)((end - start)) / data.getSize();
//System.out.println(sum+" "+enhance+" took="+took+" secs; size= "+data.getSize()+"; nanosecs/elem= "+perelem);
ncd.close();
if (avg != null) avg.add(took);
}
public void testNaNs() throws IOException, InvalidRangeException {
NetcdfDataset.setUseNaNs(true);
NetcdfDataset ncd = NetcdfDataset.openDataset(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", true, null);
VariableDS v = (VariableDS) ncd.findVariable("qc");
assert null != v;
long start = System.nanoTime();
int count = 0;
Array data = v.read();
while (data.hasNext()) {
if (v.isMissing( data.nextDouble()))
count++;
}
System.out.println(" missing= "+count);
long end = System.nanoTime();
double took = (double)((end - start))/1000/1000/1000;
double perelem = (double)((end - start)) / data.getSize();
System.out.println(" took="+took+" secs; size= "+data.getSize()+"; nanosecs/elem= "+perelem);
}
}