/**
* Writes the supplied learner evaluation configuration.
*
* @param cnf configuration to write
* @return the recorded XML element
*/
public Element writeLearnerEvaluationConfiguration(LearnerEvaluationConfiguration cnf) {
Element evaluationData = doc.createElement(StatechumXML.ELEM_EVALUATIONDATA.name());
evaluationData.appendChild(cnf.graph.storage.createGraphMLNode(doc));
Element sequenceListElement =
labelio.writeSequenceList(StatechumXML.ATTR_TESTSET.name(), cnf.testSet);
evaluationData.appendChild(AbstractPersistence.endl(doc));
evaluationData.appendChild(sequenceListElement);
evaluationData.appendChild(AbstractPersistence.endl(doc));
evaluationData.appendChild(cnf.config.writeXML(doc));
evaluationData.appendChild(AbstractPersistence.endl(doc));
if (cnf.ifthenSequences != null) {
Element ltl = doc.createElement(StatechumXML.ELEM_CONSTRAINTS.name());
StringBuffer ltlsequences = new StringBuffer();
stringio.writeInputSequence(ltlsequences, cnf.ifthenSequences);
ltl.setTextContent(ltlsequences.toString());
evaluationData.appendChild(ltl);
evaluationData.appendChild(AbstractPersistence.endl(doc));
}
if (cnf.labelDetails != null) {
evaluationData.appendChild(cnf.labelDetails.storeToXML(doc, stringio));
evaluationData.appendChild(AbstractPersistence.endl(doc));
}
if (cnf.graphNumber >= 0) {
Element progressIndicatorElement =
doc.createElement(StatechumXML.ELEM_PROGRESSINDICATOR.name());
progressIndicatorElement.setAttribute(
StatechumXML.ATTR_GRAPHNUMBER.name(), Integer.toString(cnf.graphNumber));
evaluationData.appendChild(progressIndicatorElement);
}
return evaluationData;
}
/**
* Loads the initial data from the supplied XML element.
*
* @param elem where to load from
* @return initial data
*/
public InitialData readInitialData(Element elem) {
if (!elem.getNodeName().equals(StatechumXML.ELEM_INIT.name()))
throw new IllegalArgumentException(
"expecting to load learner initial data " + elem.getNodeName());
NodeList children = elem.getChildNodes();
InitialData result = new InitialData();
for (int i = 0; i < children.getLength(); ++i)
if (children.item(i).getNodeType() == Node.ELEMENT_NODE) {
Element e = (Element) children.item(i);
if (e.getNodeName().equals(StatechumXML.graphmlNodeNameNS.toString())) {
if (result.graph != null) throw new IllegalArgumentException("duplicate graph element");
result.graph = new LearnerGraph(config);
AbstractPersistence.loadGraph(e, result.graph, decoratedLearner.getLabelConverter());
} else if (e.getNodeName().equals(StatechumXML.ELEM_SEQ.name())) {
String sequenceName = e.getAttribute(StatechumXML.ATTR_SEQ.name());
if (sequenceName.equals(StatechumXML.ATTR_POSITIVE_SEQUENCES.name())) {
if (result.plus != null)
throw new IllegalArgumentException("duplicate positive element");
result.plus = labelio.readSequenceList(e, StatechumXML.ATTR_POSITIVE_SEQUENCES.name());
if (!e.hasAttribute(StatechumXML.ATTR_POSITIVE_SIZE.name()))
throw new IllegalArgumentException("missing positive size");
String size = e.getAttribute(StatechumXML.ATTR_POSITIVE_SIZE.name());
try {
result.plusSize = Integer.valueOf(size);
} catch (NumberFormatException ex) {
statechum.Helper.throwUnchecked("positive value is not an integer " + size, ex);
}
} else if (sequenceName.equals(StatechumXML.ATTR_NEGATIVE_SEQUENCES.name())) {
if (result.minus != null)
throw new IllegalArgumentException("duplicate negative element");
result.minus = labelio.readSequenceList(e, StatechumXML.ATTR_NEGATIVE_SEQUENCES.name());
if (!e.hasAttribute(StatechumXML.ATTR_NEGATIVE_SIZE.name()))
throw new IllegalArgumentException("missing negative size");
String size = e.getAttribute(StatechumXML.ATTR_NEGATIVE_SIZE.name());
try {
result.minusSize = Integer.valueOf(size);
} catch (NumberFormatException ex) {
statechum.Helper.throwUnchecked("negative value is not an integer " + size, ex);
}
} else
throw new IllegalArgumentException("unexpected kind of sequences: " + sequenceName);
} else throw new IllegalArgumentException("unexpected element " + e.getNodeName());
}
if (result.graph == null) throw new IllegalArgumentException("missing graph");
if (result.plus == null) throw new IllegalArgumentException("missing positive sequences");
if (result.minus == null) throw new IllegalArgumentException("missing negative sequences");
return result;
}
/**
* This method stores all the details of initialisation of a learner.
*
* @param initialData data to store
* @return the constructed XML element
*/
protected Element writeInitialData(InitialData initialData) {
Element elemInit = doc.createElement(StatechumXML.ELEM_INIT.name());
Element positive =
labelio.writeSequenceList(StatechumXML.ATTR_POSITIVE_SEQUENCES.name(), initialData.plus);
positive.setAttribute(
StatechumXML.ATTR_POSITIVE_SIZE.name(), Integer.toString(initialData.plusSize));
Element negative =
labelio.writeSequenceList(StatechumXML.ATTR_NEGATIVE_SEQUENCES.name(), initialData.minus);
negative.setAttribute(
StatechumXML.ATTR_NEGATIVE_SIZE.name(), Integer.toString(initialData.minusSize));
elemInit.appendChild(initialData.graph.storage.createGraphMLNode(doc));
elemInit.appendChild(AbstractPersistence.endl(doc));
elemInit.appendChild(positive);
elemInit.appendChild(AbstractPersistence.endl(doc));
elemInit.appendChild(negative);
elemInit.appendChild(AbstractPersistence.endl(doc));
return elemInit;
}
/**
* Writes a request to AugmentPTA into an XML node and returns the constructed node.
*
* @param data what to write
* @return constructed XML node.
*/
protected Element writeAugmentPTA(AugmentPTAData data) {
Element result = doc.createElement(StatechumXML.ELEM_AUGMENTPTA.name());
result.setAttribute(StatechumXML.ATTR_KIND.name(), data.kind.name());
if (data.colour != null)
result.setAttribute(StatechumXML.ATTR_COLOUR.name(), data.colour.name());
result.setAttribute(StatechumXML.ATTR_ACCEPT.name(), Boolean.toString(data.accept));
StringBuffer writer = new StringBuffer();
labelio.writeInputSequence(writer, data.sequence);
result.setTextContent(writer.toString());
return result;
}
/**
* Reads the arguments to AugmentPTA from XML element.
*
* <p>At the moment, storage of instances of leaf nodes in trees is not implemented (and leaf
* nodes are used in filtering), hence I have to rely on storage of the whole set of sequences.
*
* @param element data to load from
* @return constructed arguments.
*/
protected AugmentPTAData readAugmentPTA(Element element) {
if (!element.getNodeName().equals(StatechumXML.ELEM_AUGMENTPTA.name()))
throw new IllegalArgumentException(
"cannot load augmentPTA data from " + element.getNodeName());
AugmentPTAData result = new AugmentPTAData();
if (!element.hasAttribute(StatechumXML.ATTR_ACCEPT.name()))
throw new IllegalArgumentException("missing accept");
if (!element.hasAttribute(StatechumXML.ATTR_KIND.name()))
throw new IllegalArgumentException("missing kind");
String accept = element.getAttribute(StatechumXML.ATTR_ACCEPT.name()),
colour = element.getAttribute(StatechumXML.ATTR_COLOUR.name()),
kind = element.getAttribute(StatechumXML.ATTR_KIND.name()),
sequence = element.getTextContent();
if (sequence.length() == 0) throw new IllegalArgumentException("missing sequence");
result.sequence = labelio.readInputSequence(sequence);
result.accept = Boolean.valueOf(accept);
if (colour.length() > 0) result.colour = Enum.valueOf(JUConstants.class, colour);
result.kind = Enum.valueOf(RestartLearningEnum.class, kind);
return result;
}
/**
* Data need to construct an experiment and evaluate the results. This is not a part of
* <em>AbstractExperiment</em> because this is only for testing and hence one would only want to
* record data from <b>some</b> experiments, not all of them.
*
* <p>If possible, this also loads the configuration and uses it for all methods requiring a
* configuration. Unexpected elements are ignored.
*
* <p>{@link LearnerEvaluationConfiguration#labelConverter} is not assigned since it is a function
* that is supposed to be set globally for an entire experiment.
*/
public LearnerEvaluationConfiguration readLearnerEvaluationConfiguration(
Element evaluationDataElement, Configuration defaultConfig) {
if (!evaluationDataElement.getNodeName().equals(StatechumXML.ELEM_EVALUATIONDATA.name()))
throw new IllegalArgumentException(
"expecting to load learner evaluation data but found "
+ evaluationDataElement.getNodeName());
NodeList
nodesGraph =
StatechumXML.getChildWithTag(
evaluationDataElement, StatechumXML.graphmlNodeNameNS.toString()),
nodesSequences =
StatechumXML.getChildWithTag(evaluationDataElement, StatechumXML.ELEM_SEQ.name()),
nodesLtl =
StatechumXML.getChildWithTag(
evaluationDataElement, StatechumXML.ELEM_CONSTRAINTS.name()),
nodesConfigurations =
StatechumXML.getChildWithTag(evaluationDataElement, Configuration.configXMLTag),
graphNumberNodes =
StatechumXML.getChildWithTag(
evaluationDataElement, StatechumXML.ELEM_PROGRESSINDICATOR.name()),
nodesLabelDetails =
StatechumXML.getChildWithTag(
evaluationDataElement, StatechumXML.ELEM_LABELDETAILS.name());
if (nodesGraph.getLength() < 1) throw new IllegalArgumentException("missing graph");
if (nodesGraph.getLength() > 1) throw new IllegalArgumentException("duplicate graph");
if (nodesSequences.getLength() < 1) throw new IllegalArgumentException("missing test set");
if (nodesSequences.getLength() > 1) throw new IllegalArgumentException("duplicate test set");
if (nodesLtl.getLength() > 1) throw new IllegalArgumentException("duplicate ltl sets");
if (nodesConfigurations.getLength() > 1)
throw new IllegalArgumentException("duplicate configuration");
if (nodesLabelDetails.getLength() > 1)
throw new IllegalArgumentException("duplicate label details");
int graphNumber = -1;
if (graphNumberNodes.getLength() > 1)
try {
graphNumber =
Integer.parseInt(
((Element) graphNumberNodes.item(0))
.getAttribute(StatechumXML.ATTR_GRAPHNUMBER.name()));
} catch (Exception e) { // ignore - graphNumber is unchanged.
}
LearnerEvaluationConfiguration result = new LearnerEvaluationConfiguration(defaultConfig);
if (nodesConfigurations.getLength() > 0) result.config.readXML(nodesConfigurations.item(0));
initIO(evaluationDataElement.getOwnerDocument(), result.config);
result.graph = new LearnerGraph(result.config);
AbstractPersistence.loadGraph(
(Element) nodesGraph.item(0), result.graph, decoratedLearner.getLabelConverter());
result.testSet =
labelio.readSequenceList(
(Element) nodesSequences.item(0), StatechumXML.ATTR_TESTSET.name());
if (nodesLtl.getLength() > 0)
result.ifthenSequences = stringio.readInputSequence(nodesLtl.item(0).getTextContent());
if (nodesLabelDetails.getLength() > 0) {
result.labelDetails = new SmtLabelRepresentation(result.config, getLabelConverter());
result.labelDetails.loadXML((Element) nodesLabelDetails.item(0), stringio);
}
result.graphNumber = graphNumber;
return result;
}