@Test
public void testLarge() throws Exception {
final long start = System.currentTimeMillis();
final List<IDataset> images = new ArrayList<IDataset>(10);
final File dir = new File(System.getProperty("GDALargeTestFilesLocation") + "EDFLoaderTest/");
final File[] files = dir.listFiles();
for (int i = 0; i < files.length; i++) {
if (files[i].getName().startsWith("billeA")) {
images.add(LoaderFactory.getData(files[i].getAbsolutePath(), null).getDataset(0));
}
}
final AbstractDataset median = CollectionStats.median(images);
final long end = System.currentTimeMillis();
if (median.getShape()[0] != 2048) throw new Exception("Median has wrong size!");
if (median.getShape()[1] != 2048) throw new Exception("Median has wrong size!");
System.out.println("Did median of ten images 2048x2048 in " + ((end - start) / 1000d) + "s");
final AbstractDataset mean = CollectionStats.median(images);
final long end1 = System.currentTimeMillis();
if (mean.getShape()[0] != 2048) throw new Exception("Mean has wrong size!");
if (mean.getShape()[1] != 2048) throw new Exception("Mean has wrong size!");
System.out.println("Did mean of ten images 2048x2048 in " + ((end1 - end) / 1000d) + "s");
}
/**
* {@inheritDoc}
*
* @see HibernateStats#getCollectionStats()
*/
public TabularData getCollectionStats() {
List<CompositeData> result = new ArrayList<CompositeData>();
Statistics statistics = getStatistics();
for (String roleName : statistics.getCollectionRoleNames()) {
CollectionStats collectionStats =
new CollectionStats(roleName, statistics.getCollectionStatistics(roleName));
result.add(collectionStats.toCompositeData());
}
TabularData td = CollectionStats.newTabularDataInstance();
td.putAll(result.toArray(new CompositeData[result.size()]));
return td;
}
@Test
public void test1D() throws Exception {
final AbstractDataset median = CollectionStats.median(SETS1D);
if (median.getDouble(0) != 1) throw new Exception("Median not calculated correctly!");
if (median.getDouble(4) != 5) throw new Exception("Median not calculated correctly!");
final AbstractDataset mean = CollectionStats.mean(SETS1D);
if (!DoubleUtils.equalsWithinTolerance(mean.getDouble(0), 100.8, 0.0001))
throw new Exception("Mean not calculated correctly!");
if (!DoubleUtils.equalsWithinTolerance(mean.getDouble(4), 104, 0.0001))
throw new Exception("Mean not calculated correctly!");
}
@Test
public void test2D() throws Exception {
final AbstractDataset median = CollectionStats.median(SETS2D);
if (median.getDouble(0, 0) != 1) throw new Exception("Median not calculated correctly!");
if (median.getDouble(1, 1) != 4) throw new Exception("Median not calculated correctly!");
if (median.getShape()[0] != 2) throw new Exception("Median shape not correct!");
if (median.getShape()[1] != 2) throw new Exception("Median shape not correct!");
final AbstractDataset mean = CollectionStats.mean(SETS2D);
if (!DoubleUtils.equalsWithinTolerance(mean.getDouble(0, 0), 100.8d, 0.01))
throw new Exception("Mean not calculated correctly!");
if (!DoubleUtils.equalsWithinTolerance(mean.getDouble(1, 1), 103.2d, 0.01))
throw new Exception("Mean not calculated correctly!");
}
