/**
* @param logs
* @param firstOrg
* @param secondOrg
* @return
*/
private ProMTable additionalDependencyTableCreator(
OrganizationalLogs logs, int firstOrg, int secondOrg) {
List<DifferentDependencyUnit> ddus =
logs.mismatchPatterns.getDifferentDependencies(firstOrg, secondOrg);
String[][] data = new String[ddus.size()][3];
int i = 0;
for (DifferentDependencyUnit ddu : ddus) {
if (ddu.additionalDependencyFlag) {
data[i][0] = ddu.dependencyUnit_1.activityName;
data[i][1] = Arrays.toString(ddu.dependencyUnit_1.previousActivities.toArray());
data[i][2] = Arrays.toString(ddu.dependencyUnit_2.previousActivities.toArray());
i++;
}
}
if (data.length == 0) return null;
DefaultTableModel tbModel =
new NonEditableModel(
data, new String[] {"Activity", "Dependency Set (Selected)", "Dependency Set (Other)"});
ProMTable table = new ProMTable(tbModel);
return table;
}
@Override
public void update(final ModelEvent event) {
super.update(event);
if (event.part == ModelPart.SELECTED_NODE) {
if (model.getSelectedNode() != null) {
toolbar.setRedraw(false);
labelSelected.setText(
Resources.getMessage("MainToolBar.3")
+ //$NON-NLS-1$
Arrays.toString(model.getSelectedNode().getTransformation()));
labelSelected.pack();
layout();
toolbar.setRedraw(true);
}
} else if (event.part == ModelPart.OUTPUT) {
if (model.getOutputNode() != null) {
// Update tool tip
SearchSpaceStatistics stats = new SearchSpaceStatistics(model.getResult());
setToolTip(stats);
// Update labels
toolbar.setRedraw(false);
labelTransformations.setText(
Resources.getMessage("MainToolBar.6")
+ //$NON-NLS-1$
SWTUtil.getPrettyString(stats.numTransformationsInSearchSpace));
labelTransformations.pack();
labelApplied.setText(
Resources.getMessage("MainToolBar.4")
+ //$NON-NLS-1$
Arrays.toString(model.getOutputNode().getTransformation()));
labelApplied.pack();
layout();
toolbar.setRedraw(true);
} else {
reset();
}
} else if (event.part == ModelPart.RESULT) {
if (model.getResult() != null) {
// Update tool tip
SearchSpaceStatistics stats = new SearchSpaceStatistics(model.getResult());
setToolTip(stats);
// Update labels
toolbar.setRedraw(false);
labelTransformations.setText(
Resources.getMessage("MainToolBar.6")
+ //$NON-NLS-1$
SWTUtil.getPrettyString(stats.numTransformationsInSearchSpace));
labelTransformations.pack();
labelSelected.setText(Resources.getMessage("MainToolBar.7")); // $NON-NLS-1$
labelSelected.pack();
labelApplied.setText(Resources.getMessage("MainToolBar.8")); // $NON-NLS-1$
labelApplied.pack();
layout();
toolbar.setRedraw(true);
}
} else if (event.part == ModelPart.SELECTED_ATTRIBUTE) {
String attribute = (String) event.data;
// Update label
toolbar.setRedraw(false);
labelAttribute.setText(
Resources.getMessage("MainToolBar.50") + trim(attribute)); // $NON-NLS-1$
labelAttribute.pack();
layout();
toolbar.setRedraw(true);
} else if (event.part == ModelPart.MODEL) {
model = (Model) event.data;
}
}
@Override
public String toString() {
// Prepare
double prunedPercentage =
(double) this.numTransformationsPruned
/ (double) this.numMaterializedTransformations
* 100d;
double materializedPercentage =
(double) this.numMaterializedTransformations
/ (double) this.numTransformationsInSearchSpace
* 100d;
// Render statistics about the solution space
StringBuilder sb = new StringBuilder();
sb.append(Resources.getMessage("MainToolBar.1")); // $NON-NLS-1$
sb.append(Resources.getMessage("MainToolBar.2")) // $NON-NLS-1$
.append(this.numTransformationsInSearchSpace)
.append("\n"); // $NON-NLS-1$
sb.append(Resources.getMessage("MainToolBar.41")) // $NON-NLS-1$
.append(this.numMaterializedTransformations);
sb.append(" [") // $NON-NLS-1$
.append(SWTUtil.getPrettyString(materializedPercentage))
.append("%]\n"); // $NON-NLS-1$
sb.append(Resources.getMessage("MainToolBar.12")) // $NON-NLS-1$
.append(this.numTransformationsPruned);
sb.append(" [") // $NON-NLS-1$
.append(SWTUtil.getPrettyString(prunedPercentage))
.append("%]\n"); // $NON-NLS-1$
sb.append(Resources.getMessage("MainToolBar.18")) // $NON-NLS-1$
.append(SWTUtil.getPrettyString(this.executionTime))
.append("s\n"); // $NON-NLS-1$
if (this.numTransformationsAnonymous != 0
|| this.numTransformationsNotAnonymous != 0
|| this.numTransformationsProbablyAnonymous != 0
|| this.numTransformationsProbablyNotAnonymous != 0
|| this.numTransformationsAnonymityUnknown != 0
|| this.numTransformationsInfolossAvailable != 0) {
// Render the classification result
sb.append(Resources.getMessage("MainToolBar.22")); // $NON-NLS-1$
if (this.numTransformationsAnonymous != 0) {
sb.append(Resources.getMessage("MainToolBar.24")) // $NON-NLS-1$
.append(this.numTransformationsAnonymous);
}
if (this.numTransformationsNotAnonymous != 0) {
sb.append(Resources.getMessage("MainToolBar.26")) // $NON-NLS-1$
.append(this.numTransformationsNotAnonymous);
}
if (this.numTransformationsProbablyAnonymous != 0) {
sb.append(Resources.getMessage("MainToolBar.28")) // $NON-NLS-1$
.append(this.numTransformationsProbablyAnonymous);
}
if (this.numTransformationsProbablyNotAnonymous != 0) {
sb.append(Resources.getMessage("MainToolBar.30")) // $NON-NLS-1$
.append(this.numTransformationsProbablyNotAnonymous);
}
if (this.numTransformationsAnonymityUnknown != 0) {
sb.append(Resources.getMessage("MainToolBar.34")) // $NON-NLS-1$
.append(this.numTransformationsAnonymityUnknown);
}
if (this.numTransformationsInfolossAvailable != 0) {
sb.append(Resources.getMessage("MainToolBar.35")) // $NON-NLS-1$
.append(this.numTransformationsInfolossAvailable);
}
sb.append("\n");
}
// Render information about the optimum
if (this.optimum != null) {
sb.append(Resources.getMessage("MainToolBar.36")) // $NON-NLS-1$
.append(Resources.getMessage("MainToolBar.39")) // $NON-NLS-1$
.append(
heuristic
? Resources.getMessage("MainToolBar.60")
: Resources.getMessage("MainToolBar.61")) // $NON-NLS-1$ //$NON-NLS-2$
.append(Resources.getMessage("MainToolBar.37")) // $NON-NLS-1$
.append(Arrays.toString(optimum.getTransformation()));
sb.append(Resources.getMessage("MainToolBar.38")) // $NON-NLS-1$
.append(optimum.getMaximumInformationLoss().toString());
}
// Return
return sb.toString();
}
/**
* Returns a string representation of the receiver, containing the String representation of each
* element.
*/
public String toString() {
return cern.colt.Arrays.toString(partFromTo(0, size() - 1).elements());
}
/**
* Trims the capacity of the receiver to be the receiver's current size. Releases any superfluos
* internal memory. An application can use this operation to minimize the storage of the receiver.
*/
public void trimToSize() {
elements = cern.colt.Arrays.trimToCapacity(elements, size());
}
/**
* Ensures that the receiver can hold at least the specified number of elements without needing to
* allocate new internal memory. If necessary, allocates new internal memory and increases the
* capacity of the receiver.
*
* @param minCapacity the desired minimum capacity.
*/
public void ensureCapacity(int minCapacity) {
elements = cern.colt.Arrays.ensureCapacity(elements, minCapacity);
}