Package de.learnlib.algorithm.observationpack.dfa

Class OPLearnerDFA<I>

java.lang.Object

de.learnlib.algorithm.observationpack.AbstractOPLearner<DFA<?,I>,I,Boolean,Boolean,Void>

de.learnlib.algorithm.observationpack.dfa.OPLearnerDFA<I>

Type Parameters:

I - input symbol class

All Implemented Interfaces:

LearningAlgorithm<DFA<?,I>,I,Boolean>, LearningAlgorithm.DFALearner<I>, Resumable<OPLearnerState<I,Boolean,Boolean,Void>>, SupportsGrowingAlphabet<I>

Direct Known Subclasses:

ObservationPackAdapterDFA

public class OPLearnerDFA<I>
extends AbstractOPLearner<DFA<?,I>,I,Boolean,Boolean,Void>
implements LearningAlgorithm.DFALearner<I>

Algorithm for learning DFA using the Discrimination Tree algorithm.

Nested Class Summary

Nested classes/interfaces inherited from interface de.learnlib.algorithm.LearningAlgorithm

LearningAlgorithm.DFALearner<I>, LearningAlgorithm.MealyLearner<I,O>, LearningAlgorithm.MooreLearner<I,O>, LearningAlgorithm.NFALearner<I>

Constructor Summary

Constructors

Constructor	Description
OPLearnerDFA(Alphabet<I> alphabet, MembershipOracle<I,Boolean> oracle, LocalSuffixFinder<? super I,? super Boolean> suffixFinder, boolean repeatedCounterexampleEvaluation, boolean epsilonRoot)	Constructor.

Method Summary

Modifier and Type	Method	Description
DFA<?,I>	getHypothesisModel()	Returns the current hypothesis model.
protected Query<I,Boolean>	spQuery(HState<I,Boolean,Boolean,Void> state)
protected @Nullable Query<I,Boolean>	tpQuery(HTransition<I,Boolean,Boolean,Void> transition)

Methods inherited from class de.learnlib.algorithm.observationpack.AbstractOPLearner

addAlphabetSymbol, createState, getDiscriminationTree, getHypothesisDS, initializeState, refineHypothesis, refineHypothesisSingle, resume, startLearning, suspend, updateHypothesis, updateTransitions

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.learnlib.algorithm.LearningAlgorithm

refineHypothesis, startLearning

Constructor Detail

OPLearnerDFA

public OPLearnerDFA(Alphabet<I> alphabet,
                    MembershipOracle<I,Boolean> oracle,
                    LocalSuffixFinder<? super I,? super Boolean> suffixFinder,
                    boolean repeatedCounterexampleEvaluation,
                    boolean epsilonRoot)

Constructor.

Parameters:

alphabet - the input alphabet

oracle - the membership oracle

suffixFinder - method to use for analyzing counterexamples

epsilonRoot - whether to ensure the root of the discrimination tree is always labeled using the empty word.

Method Detail

getHypothesisModel

public DFA<?,I> getHypothesisModel()

Description copied from interface: LearningAlgorithm

Returns the current hypothesis model.

N.B.: By the contract of this interface, the model returned by this method may not be modified (i.e., M generally should refer to an immutable interface), and its validity is retained only until the next invocation of LearningAlgorithm.refineHypothesis(DefaultQuery). If older hypotheses have to be maintained, a copy of the returned model must be made.

Please note that it should be illegal to invoke this method before an initial invocation of LearningAlgorithm.startLearning().

Specified by:

getHypothesisModel in interface LearningAlgorithm<DFA<?,I>,I,Boolean>

Returns:

the current hypothesis model.

spQuery

protected Query<I,Boolean> spQuery(HState<I,Boolean,Boolean,Void> state)

Specified by:

spQuery in class AbstractOPLearner<DFA<?,I>,I,Boolean,Boolean,Void>

tpQuery

protected @Nullable Query<I,Boolean> tpQuery(HTransition<I,Boolean,Boolean,Void> transition)

Specified by:

tpQuery in class AbstractOPLearner<DFA<?,I>,I,Boolean,Boolean,Void>