Package de.learnlib.algorithm.observationpack.moore

Class OPLearnerMoore<I,O>

java.lang.Object

de.learnlib.algorithm.observationpack.AbstractOPLearner<MooreMachine<?,I,?,O>,I,Word<O>,O,Void>

de.learnlib.algorithm.observationpack.moore.OPLearnerMoore<I,O>

Type Parameters:

I - input symbol type

O - output symbol type

All Implemented Interfaces:

LearningAlgorithm<MooreMachine<?,I,?,O>,I,Word<O>>, LearningAlgorithm.MooreLearner<I,O>, Resumable<OPLearnerState<I,Word<O>,O,Void>>, SupportsGrowingAlphabet<I>

public class OPLearnerMoore<I,O>
extends AbstractOPLearner<MooreMachine<?,I,?,O>,I,Word<O>,O,Void>
implements LearningAlgorithm.MooreLearner<I,O>

A MooreMachine-based specialization of the DT learner.

Nested Class Summary

Nested classes/interfaces inherited from class de.learnlib.algorithm.observationpack.AbstractOPLearner

AbstractOPLearner.BuilderDefaults

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
OPLearnerMoore(Alphabet<I> alphabet, MembershipOracle<I,Word<O>> oracle, LocalSuffixFinder<? super I,? super Word<O>> suffixFinder, boolean repeatedCounterexampleEvaluation)

Method Summary

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

OPLearnerMoore

public OPLearnerMoore(Alphabet<I> alphabet,
                      MembershipOracle<I,Word<O>> oracle,
                      LocalSuffixFinder<? super I,? super Word<O>> suffixFinder,
                      boolean repeatedCounterexampleEvaluation)

Method Detail

spQuery

protected @Nullable Query<I,Word<O>> spQuery(HState<I,Word<O>,O,Void> state)

Specified by:

spQuery in class AbstractOPLearner<MooreMachine<?,I,?,O>,I,Word<O>,O,Void>

tpQuery

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

Specified by:

tpQuery in class AbstractOPLearner<MooreMachine<?,I,?,O>,I,Word<O>,O,Void>

getHypothesisModel

public MooreMachine<?,I,?,O> 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<MooreMachine<?,I,?,O>,I,Word<O>>

Returns:

the current hypothesis model.