Package de.learnlib.algorithm.lstar.mealy

Class ClassicLStarMealy<I,O>

java.lang.Object

de.learnlib.algorithm.lstar.AbstractLStar<A,I,D>

de.learnlib.algorithm.lstar.AbstractAutomatonLStar<A,I,D,S,T,SP,TP,AI>

de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar<MealyMachine<?,I,?,O>,I,O,Integer,CompactTransition<O>,Void,O,CompactMealy<I,O>>

de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy<I,O>

Type Parameters:

I - input symbol class

O - output symbol class

All Implemented Interfaces:

GlobalSuffixLearner<MealyMachine<?,I,?,O>,I,O>, LearningAlgorithm<MealyMachine<?,I,?,O>,I,O>, ObservationTableFeature<I,O>, OTLearner<MealyMachine<?,I,?,O>,I,O>, Resumable<AutomatonLStarState<I,O,CompactMealy<I,O>,Integer>>, SupportsGrowingAlphabet<I>

public class ClassicLStarMealy<I,O>
extends AbstractExtensibleAutomatonLStar<MealyMachine<?,I,?,O>,I,O,Integer,CompactTransition<O>,Void,O,CompactMealy<I,O>>

An implementation of the L*Mealy algorithm for inferring Mealy machines, as described by Oliver Niese in his Ph.D. thesis.

Nested Class Summary

Nested classes/interfaces inherited from class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar

AbstractExtensibleAutomatonLStar.BuilderDefaults

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

GlobalSuffixLearner.GlobalSuffixLearnerDFA<I>, GlobalSuffixLearner.GlobalSuffixLearnerMealy<I,O>

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

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

Nested classes/interfaces inherited from interface de.learnlib.datastructure.observationtable.OTLearner

OTLearner.OTLearnerDFA<I>, OTLearner.OTLearnerMealy<I,O>, OTLearner.OTLearnerMoore<I,O>

Field Summary

Fields inherited from class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar

cexHandler, closingStrategy, initialPrefixes, initialSuffixes

Fields inherited from class de.learnlib.algorithm.lstar.AbstractAutomatonLStar

internalHyp, stateInfos

Fields inherited from class de.learnlib.algorithm.lstar.AbstractLStar

alphabet, oracle, table

Constructor Summary

Constructors

Constructor	Description
ClassicLStarMealy(Alphabet<I> alphabet, MembershipOracle<I,O> oracle)	Constructor.
ClassicLStarMealy(Alphabet<I> alphabet, MembershipOracle<I,O> oracle, ObservationTableCEXHandler<? super I,? super O> cexHandler, ClosingStrategy<? super I,? super O> closingStrategy)	Constructor.
ClassicLStarMealy(Alphabet<I> alphabet, MembershipOracle<I,O> oracle, List<Word<I>> initialPrefixes, List<Word<I>> initialSuffixes, ObservationTableCEXHandler<? super I,? super O> cexHandler, ClosingStrategy<? super I,? super O> closingStrategy)

Method Summary

Modifier and Type	Method	Description
void	addAlphabetSymbol(I symbol)
MealyMachine<?,I,?,O>	getHypothesisModel()	Returns the current hypothesis model.
protected SuffixOutput<I,O>	hypothesisOutput()
protected Void	stateProperty(ObservationTable<I,O> table, Row<I> stateRow)	Derives a state property from the corresponding row.
protected O	transitionProperty(ObservationTable<I,O> table, Row<I> stateRow, int inputIdx)	Derives a transition property from the corresponding transition.

Methods inherited from class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar

initialPrefixes, initialSuffixes, refineHypothesisInternal, selectClosingRows

Methods inherited from class de.learnlib.algorithm.lstar.AbstractAutomatonLStar

createState, doRefineHypothesis, resume, setTransition, startLearning, suspend, updateInternalHypothesis

Methods inherited from class de.learnlib.algorithm.lstar.AbstractLStar

addGlobalSuffixes, analyzeInconsistency, completeConsistentTable, getGlobalSuffixes, getObservationTable, incorporateCounterExample, refineHypothesis

Methods inherited from class java.lang.Object

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

Constructor Detail

ClassicLStarMealy

public ClassicLStarMealy(Alphabet<I> alphabet,
                         MembershipOracle<I,O> oracle)

Constructor.

Parameters:

alphabet - the learning alphabet

oracle - the (Mealy) oracle

ClassicLStarMealy

public ClassicLStarMealy(Alphabet<I> alphabet,
                         MembershipOracle<I,O> oracle,
                         ObservationTableCEXHandler<? super I,? super O> cexHandler,
                         ClosingStrategy<? super I,? super O> closingStrategy)

Constructor.

Parameters:

alphabet - the learning alphabet

oracle - the (Mealy) oracle

cexHandler - the counterexample handler

closingStrategy - the closing strategy

ClassicLStarMealy

public ClassicLStarMealy(Alphabet<I> alphabet,
                         MembershipOracle<I,O> oracle,
                         List<Word<I>> initialPrefixes,
                         List<Word<I>> initialSuffixes,
                         ObservationTableCEXHandler<? super I,? super O> cexHandler,
                         ClosingStrategy<? super I,? super O> closingStrategy)

Method Detail

getHypothesisModel

public MealyMachine<?,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().

Returns:

the current hypothesis model.

stateProperty

protected Void stateProperty(ObservationTable<I,O> table,
                             Row<I> stateRow)

Description copied from class: AbstractAutomatonLStar

Derives a state property from the corresponding row.

Specified by:

stateProperty in class AbstractAutomatonLStar<MealyMachine<?,I,?,O>,I,O,Integer,CompactTransition<O>,Void,O,CompactMealy<I,O>>

Parameters:

table - the current observation table

stateRow - the row for which the state is created

Returns:

the state property of the corresponding state

transitionProperty

protected O transitionProperty(ObservationTable<I,O> table,
                               Row<I> stateRow,
                               int inputIdx)

Description copied from class: AbstractAutomatonLStar

Derives a transition property from the corresponding transition.

N.B.: Not the transition row is passed to this method, but the row for the outgoing state. The transition row can be retrieved using Row.getSuccessor(int).

Specified by:

transitionProperty in class AbstractAutomatonLStar<MealyMachine<?,I,?,O>,I,O,Integer,CompactTransition<O>,Void,O,CompactMealy<I,O>>

stateRow - the row for the source state

inputIdx - the index of the input symbol to consider

Returns:

the transition property of the corresponding transition

addAlphabetSymbol

public void addAlphabetSymbol(I symbol)

Specified by:

addAlphabetSymbol in interface SupportsGrowingAlphabet<I>

Overrides:

addAlphabetSymbol in class AbstractAutomatonLStar<MealyMachine<?,I,?,O>,I,O,Integer,CompactTransition<O>,Void,O,CompactMealy<I,O>>

hypothesisOutput

protected SuffixOutput<I,O> hypothesisOutput()

Specified by:

hypothesisOutput in class AbstractLStar<MealyMachine<?,I,?,O>,I,O>