/**
* Make the experiment jobs
*
* @param entries the entries
* @param data the data
* @param logger the logger
* @return the jobs, or {@code null} if none were found
* @throws Exception if something goes wrong
*/
private static final _PseudoJob[] __makeExperimentsJobs(
final ArrayList<_ModuleEntry> entries, final IExperimentSet data, final Logger logger)
throws Exception {
final int size;
final ArrayListView<? extends IExperiment> list;
final _PseudoJob[] singleExperiments;
IExperiment experiment;
int i;
if ((entries == null) || (entries.size() <= 0)) {
return null;
}
if ((data == null) || ((list = data.getData()) == null) || ((size = list.size()) <= 0)) {
return null;
}
singleExperiments = new _PseudoJob[size];
for (i = size; (--i) >= 0; ) {
experiment = list.get(i);
singleExperiments[i] =
new _ExperimentJob(
experiment,
data,
logger,
_ModuleEntry.__makeExperimentJobs(entries, experiment, logger));
}
return singleExperiments;
}
/**
* Compute the aggregate per experiment
*
* @param data the data
* @return the aggregated data
*/
private final IMatrix __computeExperiment(final IExperiment data) {
final IMatrix[] matrices;
final ArrayListView<? extends IInstanceRuns> runs;
int i;
runs = data.getData();
i = runs.size();
matrices = new IMatrix[i];
for (; (--i) >= 0; ) {
matrices[i] = this.__computeInstanceRuns(runs.get(i));
}
return this.m_aggregate.aggregate2D(matrices, 0, 1, Identity.INSTANCE);
}