/**
* Returns a String representation of the HyperBoundingBox.
*
* @param nf number format for output accuracy
* @param pre the prefix of each line
* @return a string representation of this hyper bounding box
*/
public String toString(String pre, NumberFormat nf) {
return pre
+ "[Min("
+ FormatUtil.format(min, ",", nf)
+ "), Max("
+ FormatUtil.format(max, ",", nf)
+ ")]";
}
@Override
protected Integer parseValue(Object obj) throws ParameterException {
if (obj instanceof Integer) {
return (Integer) obj;
}
try {
final String s = obj.toString();
return (int) FormatUtil.parseLongBase10(s, 0, s.length());
} catch (NullPointerException e) {
throw new WrongParameterValueException(
"Wrong parameter format! Parameter \""
+ getName()
+ "\" requires an integer value, read: "
+ obj
+ "!\n");
} catch (NumberFormatException e) {
throw new WrongParameterValueException(
"Wrong parameter format! Parameter \""
+ getName()
+ "\" requires an integer value, read: "
+ obj
+ "!\n");
}
}
/**
* Write the resulting clusters to an output stream.
*
* @param outStream output stream
* @param data Generated data
* @throws IOException thrown on write errors
*/
public void writeClusters(OutputStreamWriter outStream, MultipleObjectsBundle data)
throws IOException {
int modelcol = -1;
{ // Find model column
for (int i = 0; i < data.metaLength(); i++) {
if (TypeUtil.MODEL.isAssignableFromType(data.meta(i))) {
modelcol = i;
break;
}
}
}
if (modelcol < 0) {
throw new AbortException("No model column found in bundle.");
}
ArrayList<Model> models = new ArrayList<>();
Map<Model, TIntList> modelMap = new HashMap<>();
{ // Build a map from model to the actual objects
for (int i = 0; i < data.dataLength(); i++) {
Model model = (Model) data.data(i, modelcol);
TIntList modelids = modelMap.get(model);
if (modelids == null) {
models.add(model);
modelids = new TIntArrayList();
modelMap.put(model, modelids);
}
modelids.add(i);
}
}
// compute global discard values
int totalsize = 0, totaldisc = 0;
for (Entry<Model, TIntList> ent : modelMap.entrySet()) {
totalsize += ent.getValue().size();
if (ent.getKey() instanceof GeneratorSingleCluster) {
totaldisc += ((GeneratorSingleCluster) ent.getKey()).getDiscarded();
}
}
double globdens = (double) (totalsize + totaldisc) / totalsize;
outStream
.append("########################################################")
.append(LINE_SEPARATOR);
outStream.append("## Number of clusters: " + models.size()).append(LINE_SEPARATOR);
for (Model model : models) {
TIntList ids = modelMap.get(model);
outStream
.append("########################################################")
.append(LINE_SEPARATOR);
outStream.append("## Size: " + ids.size()).append(LINE_SEPARATOR);
if (model instanceof GeneratorSingleCluster) {
GeneratorSingleCluster cursclus = (GeneratorSingleCluster) model;
outStream
.append("########################################################")
.append(LINE_SEPARATOR);
outStream.append("## Cluster: ").append(cursclus.getName()).append(LINE_SEPARATOR);
Vector cmin = cursclus.getClipmin();
Vector cmax = cursclus.getClipmax();
if (cmin != null && cmax != null) {
outStream
.append("## Clipping: ")
.append(cmin.toString()) //
.append(" - ")
.append(cmax.toString())
.append(LINE_SEPARATOR);
}
outStream
.append("## Density correction factor: " + cursclus.getDensityCorrection())
.append(LINE_SEPARATOR);
outStream.append("## Generators:").append(LINE_SEPARATOR);
for (int i = 0; i < cursclus.getDim(); i++) {
Distribution gen = cursclus.getDistribution(i);
outStream.append("## ").append(gen.toString()).append(LINE_SEPARATOR);
}
if (cursclus.getTransformation() != null
&& cursclus.getTransformation().getTransformation() != null) {
outStream.append("## Affine transformation matrix:").append(LINE_SEPARATOR);
outStream
.append(FormatUtil.format(cursclus.getTransformation().getTransformation(), "## "))
.append(LINE_SEPARATOR);
}
outStream
.append(
"## Discards: "
+ cursclus.getDiscarded()
+ " Retries left: "
+ cursclus.getRetries())
.append(LINE_SEPARATOR);
double corf = /* cursclus.overweight */
(double) (cursclus.getSize() + cursclus.getDiscarded()) / cursclus.getSize() / globdens;
outStream.append("## Density correction factor estimation: " + corf).append(LINE_SEPARATOR);
}
outStream
.append("########################################################")
.append(LINE_SEPARATOR);
for (TIntIterator iter = ids.iterator(); iter.hasNext(); ) {
int num = iter.next();
for (int c = 0; c < data.metaLength(); c++) {
if (c != modelcol) {
if (c > 0) {
outStream.append(' ');
}
outStream.append(data.data(num, c).toString());
}
}
outStream.append(LINE_SEPARATOR);
}
}
}
/**
* Returns a String representation of the HyperBoundingBox.
*
* @return a string representation of this hyper bounding box
*/
@Override
public String toString() {
return "[Min(" + FormatUtil.format(min, ",") + "), Max(" + FormatUtil.format(max, ",") + ")]";
}
