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AbstractAutomatonLStar<A,I,D,S,T,SP,TP,AI extends net.automatalib.automata.MutableDeterministic<S,I,T,SP,TP> & net.automatalib.automata.GrowableAlphabetAutomaton<I>> - Class in de.learnlib.algorithms.lstar
Abstract base class for algorithms that produce (subclasses of) MutableDeterministic automata.
AbstractAutomatonLStar(Alphabet<I>, MembershipOracle<I, D>, AI) - Constructor for class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
Constructor.
AbstractBaseCounterexample<E> - Class in de.learnlib.acex.impl
 
AbstractBaseCounterexample(int) - Constructor for class de.learnlib.acex.impl.AbstractBaseCounterexample
Constructor.
AbstractBaseDTNode<I,D> - Class in de.learnlib.algorithms.ttt.base
 
AbstractBaseDTNode() - Constructor for class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
AbstractBaseDTNode(AbstractBaseDTNode<I, D>, D) - Constructor for class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
AbstractBasePTAState<SP,TP,S extends AbstractBasePTAState<SP,TP,S>> - Class in de.learnlib.datastructure.pta.pta
 
AbstractBasePTAState() - Constructor for class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
AbstractBlueFringePTA<SP,TP,S extends AbstractBlueFringePTAState<SP,TP,S>> - Class in de.learnlib.datastructure.pta.pta
 
AbstractBlueFringePTA(int, S) - Constructor for class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
AbstractBlueFringePTAState<SP,TP,S extends AbstractBlueFringePTAState<SP,TP,S>> - Class in de.learnlib.datastructure.pta.pta
 
AbstractBlueFringePTAState() - Constructor for class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
AbstractBlueFringeRPNI<I,D,SP,TP,M> - Class in de.learnlib.algorithms.rpni
Abstract base class for Blue-Fringe-RPNI algorithms.
AbstractBlueFringeRPNI(Alphabet<I>) - Constructor for class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
Constructor.
AbstractCalculator - Class in de.learnlib.algorithms.adt.config.model.calculator
 
AbstractCalculator() - Constructor for class de.learnlib.algorithms.adt.config.model.calculator.AbstractCalculator
 
AbstractContextExecutableInputSUL<I extends ContextExecutableInput<? extends O,? super C>,O,C> - Class in de.learnlib.mapper
Abstract base class for a SUL that step-wisely executes ContextExecutableInput symbols.
AbstractContextExecutableInputSUL() - Constructor for class de.learnlib.mapper.AbstractContextExecutableInputSUL
 
AbstractCounterexample<E> - Interface in de.learnlib.acex
 
AbstractDFALearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for DFA learning algorithms.
AbstractDFALearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractDFALearnerIT
 
AbstractDFAPassiveLearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for passive DFA learning algorithms.
AbstractDFAPassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractDFAPassiveLearnerIT
 
AbstractDiscriminationTree<DSCR,I,O,D,N extends AbstractDTNode<DSCR,O,D,N>> - Class in de.learnlib.datastructure.discriminationtree.model
An abstract super class for aggregating several information/functionality for discrimination trees.
AbstractDiscriminationTree(N, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
AbstractDTLearner<M extends net.automatalib.automata.concepts.SuffixOutput<I,D>,I,D,SP,TP> - Class in de.learnlib.algorithms.discriminationtree
 
AbstractDTLearner(Alphabet<I>, MembershipOracle<I, D>, LocalSuffixFinder<? super I, ? super D>, boolean, AbstractWordBasedDiscriminationTree<I, D, HState<I, D, SP, TP>>) - Constructor for class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
AbstractDTLearner.BuilderDefaults - Class in de.learnlib.algorithms.discriminationtree
 
AbstractDTNode<DSCR,O,D,N extends AbstractDTNode<DSCR,O,D,N>> - Class in de.learnlib.datastructure.discriminationtree.model
An abstract super class (DAO) for aggregating several information stored in a node of an discrimination tree.
AbstractDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
AbstractDTNode(N, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
AbstractDTNode.SplitResult - Class in de.learnlib.datastructure.discriminationtree.model
 
AbstractExtensibleAutomatonLStar<A,I,D,S,T,SP,TP,AI extends net.automatalib.automata.MutableDeterministic<S,I,T,SP,TP> & net.automatalib.automata.GrowableAlphabetAutomaton<I>> - Class in de.learnlib.algorithms.lstar
 
AbstractExtensibleAutomatonLStar(Alphabet<I>, MembershipOracle<I, D>, AI, List<Word<I>>, List<Word<I>>, ObservationTableCEXHandler<? super I, ? super D>, ClosingStrategy<? super I, ? super D>) - Constructor for class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
AbstractExtensibleAutomatonLStar.BuilderDefaults - Class in de.learnlib.algorithms.lstar
 
AbstractGrowingAlphabetDFATest<L extends SupportsGrowingAlphabet<Character> & LearningAlgorithm<net.automatalib.automata.fsa.DFA<?,Character>,Character,Boolean>> - Class in de.learnlib.testsupport
 
AbstractGrowingAlphabetDFATest() - Constructor for class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
 
AbstractGrowingAlphabetMealyTest<L extends SupportsGrowingAlphabet<Character> & LearningAlgorithm<net.automatalib.automata.transout.MealyMachine<?,Character,?,Character>,Character,net.automatalib.words.Word<Character>>> - Class in de.learnlib.testsupport
 
AbstractGrowingAlphabetMealyTest() - Constructor for class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
 
AbstractGrowingAlphabetTest<L extends SupportsGrowingAlphabet<I> & LearningAlgorithm<M,I,D>,M extends net.automatalib.automata.UniversalDeterministicAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.Output<I,D>,OR,I,D> - Class in de.learnlib.testsupport
Simple (abstract super) test class that checks the basic workflow of a learning algorithm that implements SupportsGrowingAlphabet.
AbstractGrowingAlphabetTest() - Constructor for class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
AbstractHypTrans<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
AbstractHypTrans(Word<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
AbstractLearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for a learning algorithm (or "learner").
AbstractLearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractLearnerIT
 
AbstractLStar<A,I,D> - Class in de.learnlib.algorithms.lstar
An abstract base class for L*-style algorithms.
AbstractLStar(Alphabet<I>, MembershipOracle<I, D>) - Constructor for class de.learnlib.algorithms.lstar.AbstractLStar
Constructor.
AbstractLStarState<I,D> - Class in de.learnlib.algorithms.lstar
Class that contains all data that represent the internal state of the AbstractLStar learner.
AbstractLStarState(GenericObservationTable<I, D>) - Constructor for class de.learnlib.algorithms.lstar.AbstractLStarState
 
AbstractMealyLearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for Mealy machine learning algorithms.
AbstractMealyLearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractMealyLearnerIT
 
AbstractMealyPassiveLearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for passive Mealy machine learning algorithms.
AbstractMealyPassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractMealyPassiveLearnerIT
 
AbstractMealySymLearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for Mealy machine learning algorithms.
AbstractMealySymLearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractMealySymLearnerIT
 
AbstractMethodOutput - Class in de.learnlib.drivers.reflect
abstract output of a method.
AbstractMethodOutput() - Constructor for class de.learnlib.drivers.reflect.AbstractMethodOutput
 
AbstractNamedAcexAnalyzer - Class in de.learnlib.acex.analyzers
An abstract counterexample analyzer that carries a name.
AbstractNamedAcexAnalyzer(String) - Constructor for class de.learnlib.acex.analyzers.AbstractNamedAcexAnalyzer
Constructor.
AbstractObservationTableWriter<I,D> - Class in de.learnlib.datastructure.observationtable.writer
 
AbstractObservationTableWriter() - Constructor for class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 
AbstractObservationTableWriter(Function<? super Word<? extends I>, ? extends String>, Function<? super D, ? extends String>) - Constructor for class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 
AbstractPassiveLearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for a passive learning algorithm (or "learner").
AbstractPassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractPassiveLearnerIT
 
AbstractQuery<I,D> - Class in de.learnlib.api.query
 
AbstractQuery(Word<I>) - Constructor for class de.learnlib.api.query.AbstractQuery
 
AbstractQuery(Word<I>, Word<I>) - Constructor for class de.learnlib.api.query.AbstractQuery
 
AbstractQuery(Query<I, ?>) - Constructor for class de.learnlib.api.query.AbstractQuery
 
AbstractResumableLearnerDFATest<L extends ResumableLearner<T> & LearningAlgorithm<net.automatalib.automata.fsa.DFA<?,Character>,Character,Boolean>,T extends Serializable> - Class in de.learnlib.testsupport
 
AbstractResumableLearnerDFATest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerDFATest
 
AbstractResumableLearnerMealyTest<L extends ResumableLearner<T> & LearningAlgorithm<net.automatalib.automata.transout.MealyMachine<?,Character,?,Character>,Character,net.automatalib.words.Word<Character>>,T extends Serializable> - Class in de.learnlib.testsupport
 
AbstractResumableLearnerMealyTest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
 
AbstractResumableLearnerTest<L extends ResumableLearner<T> & LearningAlgorithm<M,I,D>,M extends net.automatalib.automata.UniversalDeterministicAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.Output<I,D>,OR,I,D,T extends Serializable> - Class in de.learnlib.testsupport
Test class that checks the workflow of a learning algorithm that implements ResumableLearner.
AbstractResumableLearnerTest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerTest
 
AbstractStatisticData - Class in de.learnlib.filter.statistic
Common interface for statistical data.
AbstractStatisticData(String, String) - Constructor for class de.learnlib.filter.statistic.AbstractStatisticData
 
AbstractTemporaryIntrusiveDTNode<DSCR,O,D,T extends IntrusiveList<?>,N extends AbstractTemporaryIntrusiveDTNode<DSCR,O,D,T,N>> - Class in de.learnlib.datastructure.discriminationtree.model
An extension of the AbstractDTNode that adds the concept of temporary splitters as well as linking discrimination tree nodes outside of their regular tree structure.
AbstractTemporaryIntrusiveDTNode(N, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
AbstractTestWordEQOracle<A extends net.automatalib.automata.concepts.Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
An abstract equivalence oracle that takes care of query batching and hypothesis checking and allows extending classes to solely focus on test word generation by implementing AbstractTestWordEQOracle.generateTestWords(Output, Collection).
AbstractTestWordEQOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.oracle.equivalence.AbstractTestWordEQOracle
 
AbstractTestWordEQOracle(MembershipOracle<I, D>, int) - Constructor for class de.learnlib.oracle.equivalence.AbstractTestWordEQOracle
 
AbstractTTTHypothesis<I,D,T> - Class in de.learnlib.algorithms.ttt.base
Hypothesis DFA for the TTT algorithm.
AbstractTTTHypothesis(Alphabet<I>) - Constructor for class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
Constructor.
AbstractTTTHypothesis.GraphView - Class in de.learnlib.algorithms.ttt.base
 
AbstractTTTHypothesis.TTTEdge<I,D> - Class in de.learnlib.algorithms.ttt.base
 
AbstractTTTLearner<A,I,D> - Class in de.learnlib.algorithms.ttt.base
The TTT learning algorithm for DFA.
AbstractTTTLearner(Alphabet<I>, MembershipOracle<I, D>, AbstractTTTHypothesis<I, D, ?>, BaseTTTDiscriminationTree<I, D>, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
AbstractTTTLearner.BuilderDefaults - Class in de.learnlib.algorithms.ttt.base
 
AbstractTTTLearner.Splitter<I,D> - Class in de.learnlib.algorithms.ttt.base
Data structure for representing a splitter.
AbstractVPDALearner<I> - Class in de.learnlib.algorithms.discriminationtree.vpda
 
AbstractVPDALearner(VPDAlphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
AbstractVPDALearnerIT - Class in de.learnlib.testsupport.it.learner
Abstract integration test for VPDA learning algorithms.
AbstractVPDALearnerIT() - Constructor for class de.learnlib.testsupport.it.learner.AbstractVPDALearnerIT
 
AbstractWordBasedDiscriminationTree<I,O,D> - Class in de.learnlib.datastructure.discriminationtree.model
Convenient class for word-based discrimination trees that already binds certain generics.
AbstractWordBasedDiscriminationTree(AbstractWordBasedDTNode<I, O, D>, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDiscriminationTree
 
AbstractWordBasedDTNode<I,O,D> - Class in de.learnlib.datastructure.discriminationtree.model
Convenient class for word-based discrimination tree nodes that already binds certain generics.
AbstractWordBasedDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDTNode
 
AbstractWordBasedDTNode(AbstractWordBasedDTNode<I, O, D>, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDTNode
 
access - Variable in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
accessSequence - Variable in class de.learnlib.algorithms.kv.StateInfo
 
AccessSequenceProvider<I> - Interface in de.learnlib.api
Common interface for objects that have an access sequence associated with them (e.g., states and transitions of a hypotheses).
AccessSequenceTransformer<I> - Interface in de.learnlib.api
 
AcexAnalysisAlgorithms - Class in de.learnlib.acex.analyzers
 
AcexAnalyzer - Interface in de.learnlib.acex
 
AcexAnalyzers - Class in de.learnlib.acex.analyzers
This is a utility class, acting as a container for several AbstractNamedAcexAnalyzers.
AcexAnalyzers.Direction - Enum in de.learnlib.acex.analyzers
 
AcexLocalSuffixFinder - Class in de.learnlib.counterexamples
AcexLocalSuffixFinder(AcexAnalyzer, boolean, String) - Constructor for class de.learnlib.counterexamples.AcexLocalSuffixFinder
Constructor.
add(DTNode<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.BlockList
 
add(AbstractHypTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.TransList
 
add(Word<I>, D) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
Adds a query word along with its expected output to the sample set.
addAll(TransList<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.TransList
 
addAll(MembershipOracle<I, D>, Word<I>...) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
Adds several query words to the sample set.
addAll(MembershipOracle<I, D>, Collection<? extends Word<I>>) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
Adds words to the sample set.
addAll(DefaultQuery<I, D>...) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
Adds queries to the sample set.
addAll(Collection<? extends DefaultQuery<I, D>>) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
Adds queries to the sample set.
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
addAlphabetSymbol(I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
addAlphabetSymbol(I) - Method in interface de.learnlib.api.algorithm.feature.SupportsGrowingAlphabet
 
addAlphabetSymbol(I, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
addAlphabetSymbol(I, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
 
addChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
addDataPoint(Long) - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
addEdge(int, ReuseEdge<S, I, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
Adds an outgoing ReuseEdge to this ReuseNode.
addEventListener(TTTEventListener<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
addGlobalSuffixes(Collection<? extends Word<I>>) - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
addGlobalSuffixes(Collection<? extends Word<I>>) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
addGlobalSuffixes(Collection<? extends Word<I>>) - Method in interface de.learnlib.api.algorithm.feature.GlobalSuffixFeature
Add the provided suffixes to the collection of global suffixes.
addIncoming(AbstractHypTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
addIncoming(int, int) - Method in class de.learnlib.algorithms.kv.StateInfo
 
addInput(String, String, Object...) - Method in class de.learnlib.drivers.reflect.SimplePOJOTestDriver
 
addInput(String, Method, Object...) - Method in class de.learnlib.drivers.reflect.SimplePOJOTestDriver
 
addLearnerVariant(String, LearningAlgorithm<? extends M, I, D>) - Method in interface de.learnlib.testsupport.it.learner.LearnerVariantList
Adds a learner variant with the default maximum number of rounds (i.e., the size of the target automaton) to the list.
addLearnerVariant(String, LearningAlgorithm<? extends M, I, D>, int) - Method in interface de.learnlib.testsupport.it.learner.LearnerVariantList
Adds a learner variant with a given maximum number of rounds to the list.
addLearnerVariant(String, PassiveLearningAlgorithm<? extends M, I, D>) - Method in interface de.learnlib.testsupport.it.learner.PassiveLearnerVariantList
Adds a learner variant with the default maximum number of rounds (i.e., the size of the target automaton) to the list.
addLearnerVariant(String, PassiveLearningAlgorithm<? extends M, I, D>) - Method in class de.learnlib.testsupport.it.learner.PassiveLearnerVariantListImpl
 
addLearnerVariants(Alphabet<I>, int, MembershipOracle.DFAMembershipOracle<I>, LearnerVariantList.DFALearnerVariantList<I>) - Method in class de.learnlib.testsupport.it.learner.AbstractDFALearnerIT
Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(Alphabet<I>, PassiveLearnerVariantList<DFA<?, I>, I, Boolean>) - Method in class de.learnlib.testsupport.it.learner.AbstractDFAPassiveLearnerIT
Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(Alphabet<I>, MembershipOracle.MealyMembershipOracle<I, O>, LearnerVariantList.MealyLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.learner.AbstractMealyLearnerIT
Adds, for a given setup, all the variants of the Mealy machine learner to be tested to the specified variant list.
addLearnerVariants(Alphabet<I>, PassiveLearnerVariantList<MealyMachine<?, I, ?, O>, I, Word<O>>) - Method in class de.learnlib.testsupport.it.learner.AbstractMealyPassiveLearnerIT
Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(Alphabet<I>, MembershipOracle<I, O>, LearnerVariantList.MealySymLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.learner.AbstractMealySymLearnerIT
Adds, for a given setup, all the variants of the Mealy machine learner to be tested to the specified variant list.
addLearnerVariants(VPDAlphabet<I>, MembershipOracle<I, Boolean>, LearnerVariantList.OneSEVPALearnerVariantList<I>) - Method in class de.learnlib.testsupport.it.learner.AbstractVPDALearnerIT
Adds, for a given setup, all the variants of the OneSEVPA learner to be tested to the specified variant list.
addNegativeSample(Word<I>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
 
addNegativeSamples(Collection<? extends Word<I>>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
 
addNegativeSamples(Word<I>...) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
 
addNonTreeIncoming(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
addPositiveSample(Word<I>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
 
addPositiveSamples(Collection<? extends Word<I>>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
 
addPositiveSamples(Word<I>...) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
 
addSample(Word<I>, D) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
addSample(DefaultQuery<I, D>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
addSample(int[], SP) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Adds a sample to the PTA, and sets the property of the last reached (or inserted) state accordingly.
addSamples(Collection<? extends DefaultQuery<I, Boolean>>) - Method in class de.learnlib.algorithms.rpni.BlueFringeMDLDFA
 
addSamples(Collection<? extends DefaultQuery<I, Boolean>>) - Method in class de.learnlib.algorithms.rpni.BlueFringeRPNIDFA
 
addSamples(Collection<? extends DefaultQuery<I, Word<O>>>) - Method in class de.learnlib.algorithms.rpni.BlueFringeRPNIMealy
 
addSamples(Collection<? extends DefaultQuery<I, D>>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
addSamples(DefaultQuery<I, D>...) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
addSamples(D, Word<I>...) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
addSamples(D, Collection<? extends Word<I>>) - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
addSampleWithStateProperties(int[], List<? extends SP>) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
addSampleWithTransitionProperties(int[], List<? extends TP>) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
addShortPrefixes(List<? extends Word<I>>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
addShortPrefixes(List<? extends Word<I>>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
 
addState(S, Word<I>, O) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
Registers a new hypothesis state at the observation tree.
addSuffix(Word<I>) - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
addSuffix(Word<I>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
addSuffix(Word<I>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
Adds a suffix to the list of distinguishing suffixes.
addSuffixes(List<? extends Word<I>>) - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
addSuffixes(Collection<? extends Word<I>>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
addSuffixes(Collection<? extends Word<I>>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
Adds suffixes to the list of distinguishing suffixes.
addSuffixesUnchecked(Collection<? extends Word<I>>) - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
addSystemState(S) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
 
addTrace(S, Word<I>, Word<O>) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
Store input/output information about a hypothesis state in the internal data structure.
addTrace(S, ADTNode<S, I, O>) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
addUnlabeled(PrefixTTTLearnerDFA.ExtDTNode<I>) - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA.ExtDTNode
 
ADSCalculator - Interface in de.learnlib.algorithms.adt.config.model
 
ADT<S,I,O> - Class in de.learnlib.algorithms.adt.adt
The adaptive discrimination tree class.
ADT(LeafSplitter) - Constructor for class de.learnlib.algorithms.adt.adt.ADT
 
ADT.LCAInfo<S,I,O> - Class in de.learnlib.algorithms.adt.adt
 
ADTExtender - Interface in de.learnlib.algorithms.adt.api
Interface for configuration objects that specify how to finalize the temporary splitter given by regular counterexample decomposition.
adtExtender() - Static method in class de.learnlib.algorithms.adt.learner.ADTLearner.BuilderDefaults
 
ADTExtenders - Class in de.learnlib.algorithms.adt.config
A collection of default ADTExtender configurations.
ADTHypothesis<I,O> - Class in de.learnlib.algorithms.adt.automaton
Hypothesis model.
ADTHypothesis(Alphabet<I>) - Constructor for class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
ADTLeafNode<S,I,O> - Class in de.learnlib.algorithms.adt.adt
Leaf node implementation.
ADTLeafNode(ADTNode<S, I, O>, S) - Constructor for class de.learnlib.algorithms.adt.adt.ADTLeafNode
 
ADTLearner<I,O> - Class in de.learnlib.algorithms.adt.learner
The main learning algorithm.
ADTLearner(Alphabet<I>, SymbolQueryOracle<I, O>, LeafSplitter, ADTExtender, SubtreeReplacer) - Constructor for class de.learnlib.algorithms.adt.learner.ADTLearner
 
ADTLearner.BuilderDefaults - Class in de.learnlib.algorithms.adt.learner
 
ADTLearnerState<S,I,O> - Class in de.learnlib.algorithms.adt.learner
Utility class that captures all essential state of a ADTLearner run.
ADTLearnerState(ADTHypothesis<I, O>, ADT<S, I, O>) - Constructor for class de.learnlib.algorithms.adt.learner.ADTLearnerState
 
adtNode - Variable in class de.learnlib.algorithms.adt.adt.ADT.LCAInfo
 
ADTNode<S,I,O> - Interface in de.learnlib.algorithms.adt.adt
The ADT equivalent of ADSNode.
ADTNode.NodeType - Enum in de.learnlib.algorithms.adt.adt
Utility enum to distinguish the 3 possible types of ADT nodes.
ADTResetNode<S,I,O> - Class in de.learnlib.algorithms.adt.adt
Reset node implementation.
ADTResetNode(ADTNode<S, I, O>) - Constructor for class de.learnlib.algorithms.adt.adt.ADTResetNode
 
ADTState<I,O> - Class in de.learnlib.algorithms.adt.automaton
Hypothesis state model.
ADTState(int) - Constructor for class de.learnlib.algorithms.adt.automaton.ADTState
 
ADTSymbolNode<S,I,O> - Class in de.learnlib.algorithms.adt.adt
Symbol node implementation.
ADTSymbolNode(ADTNode<S, I, O>, I) - Constructor for class de.learnlib.algorithms.adt.adt.ADTSymbolNode
 
ADTTransition<I,O> - Class in de.learnlib.algorithms.adt.automaton
Hypothesis transition model.
ADTTransition() - Constructor for class de.learnlib.algorithms.adt.automaton.ADTTransition
 
ADTUtil - Class in de.learnlib.algorithms.adt.util
Utility class, that offers some operations revolving around adaptive distinguishing sequences.
ALL_ANALYZERS - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
 
allNodesFinal() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
alphabet - Variable in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
alphabet - Variable in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
alphabet - Variable in class de.learnlib.algorithms.lstar.AbstractLStar
 
alphabet - Variable in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
 
alphabet - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
alphabet - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
alphabetSize - Variable in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
 
alphabetSize - Variable in class de.learnlib.datastructure.pta.pta.BasePTA
 
analyzeAbstractCounterexample(AbstractCounterexample<?>) - Method in interface de.learnlib.acex.AcexAnalyzer
Analyzes an abstract counterexample.
analyzeAbstractCounterexample(AbstractCounterexample<?>, int, int) - Method in interface de.learnlib.acex.AcexAnalyzer
 
analyzeAbstractCounterexample(AbstractCounterexample<?>, int) - Method in interface de.learnlib.acex.AcexAnalyzer
 
analyzeInconsistency(Inconsistency<I>) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
Analyzes an inconsistency.
analyzer - Variable in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA
 
analyzer - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
analyzer() - Static method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner.BuilderDefaults
 
answer(D) - Method in class de.learnlib.api.query.DefaultQuery
 
answer(D) - Method in class de.learnlib.api.query.Query
Answers the query.
answerQueries(QueryAnswerer<I, D>, Collection<? extends Query<I, D>>) - Static method in class de.learnlib.util.MQUtil
 
answerQueriesAuto(QueryAnswerer<I, D>, Collection<? extends Query<I, D>>) - Static method in class de.learnlib.util.MQUtil
 
answerQueriesParallel(QueryAnswerer<I, D>, Collection<? extends Query<I, D>>) - Static method in class de.learnlib.util.MQUtil
 
answerQuery(Word<I>) - Method in interface de.learnlib.api.oracle.MembershipOracle
 
answerQuery(Word<I>, Word<I>) - Method in interface de.learnlib.api.oracle.MembershipOracle
 
answerQuery(Word<I>) - Method in interface de.learnlib.api.oracle.QueryAnswerer
 
answerQuery(Word<I>, Word<I>) - Method in interface de.learnlib.api.oracle.QueryAnswerer
 
answerQuery(Word<I>, Word<I>) - Method in interface de.learnlib.api.oracle.SingleQueryOracle
 
answerQuery(Word<I>, Word<I>) - Method in class de.learnlib.filter.reuse.ReuseOracle
 
answerQuery(Word<I>) - Method in class de.learnlib.filter.reuse.ReuseOracle
 
answerQuery(Word<AI>, Word<AI>) - Method in class de.learnlib.oracle.membership.MappedOracle
 
answerQuery(Word<I>, Word<I>) - Method in class de.learnlib.oracle.membership.SimulatorOracle
 
anyChild() - Method in class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
anyChild() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
anySubtreeState() - Method in class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
appendAccessSequence(List<? super I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
apply(AbstractBlueFringePTA<SP, TP, S>, Consumer<? super PTATransition<S>>) - Method in class de.learnlib.datastructure.pta.pta.RedBlueMerge
 
apply(SULMapper<? super AI, ? extends AO, CI, CO>, SUL<? super CI, ? extends CO>) - Static method in class de.learnlib.mapper.SULMappers
 
asDFALearner() - Method in class de.learnlib.algorithms.nlstar.NLStarLearner
Retrieves a view of this learner as a DFA learner.
asOracle() - Method in interface de.learnlib.api.oracle.MembershipOracle
 
asOracle() - Method in interface de.learnlib.api.oracle.QueryAnswerer
 
AutomatonLStarState<I,D,AI,S> - Class in de.learnlib.algorithms.lstar
Class that contains all data that represent the internal state of the AbstractAutomatonLStar learner and its DFA and Mealy implementations.
AutomatonLStarState(GenericObservationTable<I, D>, AI, List<AbstractAutomatonLStar.StateInfo<S, I>>) - Constructor for class de.learnlib.algorithms.lstar.AutomatonLStarState
 

B

BasePTA<SP,TP,S extends AbstractBasePTAState<SP,TP,S>> - Class in de.learnlib.datastructure.pta.pta
Base class for prefix tree acceptors.
BasePTA(int, S) - Constructor for class de.learnlib.datastructure.pta.pta.BasePTA
Constructor.
BaseTTTDiscriminationTree<I,D> - Class in de.learnlib.algorithms.ttt.base
The discrimination tree data structure.
BaseTTTDiscriminationTree(MembershipOracle<I, D>, Supplier<? extends AbstractBaseDTNode<I, D>>) - Constructor for class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
BaseTTTDiscriminationTree(MembershipOracle<I, D>, AbstractBaseDTNode<I, D>) - Constructor for class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
BATCH_SIZE - Static variable in class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
BestEffortCalculator - Class in de.learnlib.algorithms.adt.config.model.calculator
 
BestEffortCalculator() - Constructor for class de.learnlib.algorithms.adt.config.model.calculator.BestEffortCalculator
 
BestEffortDefensiveCalculator - Class in de.learnlib.algorithms.adt.config.model.calculator
 
BestEffortDefensiveCalculator() - Constructor for class de.learnlib.algorithms.adt.config.model.calculator.BestEffortDefensiveCalculator
 
bfsIterator() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Retrieves an iterator that can be used for iterating over all states in this PTA that are reachable from the root state in a breadth-first order.
bfsStates() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Retrieves a list of all states in this PTA that are reachable from the root state.
BINARY_SEARCH_BWD - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
Analyzer that searches for a suffix index using binary search.
BINARY_SEARCH_FWD - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
 
BinaryDTNode<I,D> - Class in de.learnlib.datastructure.discriminationtree
Binary discrimination tree node specialization.
BinaryDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTNode
 
BinaryDTNode(BinaryDTNode<I, D>, Boolean, D) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTNode
 
BinaryDTree<I,D> - Class in de.learnlib.datastructure.discriminationtree
Binary discrimination tree specialization.
BinaryDTree(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree
 
BinaryDTree(D, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree
 
binarySearchLeft(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.analyzers.AcexAnalysisAlgorithms
 
binarySearchRight(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.analyzers.AcexAnalysisAlgorithms
Search for a suffix index using a binary search.
BlockList<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
BlockList() - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.BlockList
 
blockList - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
The blocks during a split operation.
BlockList<I,D> - Class in de.learnlib.algorithms.ttt.base
A list for storing blocks (identified by their root AbstractBaseDTNodes).
BlockList() - Constructor for class de.learnlib.algorithms.ttt.base.BlockList
 
BlueFringeEDSMDFA<I> - Class in de.learnlib.algorithms.rpni
A state-merging learning algorithm based on the evidence principle.
BlueFringeEDSMDFA(Alphabet<I>) - Constructor for class de.learnlib.algorithms.rpni.BlueFringeEDSMDFA
Constructor.
BlueFringeMDLDFA<I> - Class in de.learnlib.algorithms.rpni
A state-merging learning algorithm based on the minimal description length principle.
BlueFringeMDLDFA(Alphabet<I>) - Constructor for class de.learnlib.algorithms.rpni.BlueFringeMDLDFA
Constructor.
BlueFringePTA<SP,TP> - Class in de.learnlib.datastructure.pta.pta
 
BlueFringePTA(int) - Constructor for class de.learnlib.datastructure.pta.pta.BlueFringePTA
 
BlueFringePTAState<SP,TP> - Class in de.learnlib.datastructure.pta.pta
 
BlueFringePTAState() - Constructor for class de.learnlib.datastructure.pta.pta.BlueFringePTAState
 
BlueFringeRPNIDFA<I> - Class in de.learnlib.algorithms.rpni
A Blue Fringe version of RPNI for learning DFAs.
BlueFringeRPNIDFA(Alphabet<I>) - Constructor for class de.learnlib.algorithms.rpni.BlueFringeRPNIDFA
Constructor.
BlueFringeRPNIMealy<I,O> - Class in de.learnlib.algorithms.rpni
Blue-fringe version of RPNI for inferring Mealy machines.
BlueFringeRPNIMealy(Alphabet<I>) - Constructor for class de.learnlib.algorithms.rpni.BlueFringeRPNIMealy
 
BooleanMap<V> - Class in de.learnlib.datastructure.discriminationtree.model
Primitive implementation for boolean maps.
BooleanMap() - Constructor for class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
BooleanMap(V, V) - Constructor for class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
BoundedDeque<E> - Class in de.learnlib.filter.reuse.tree
A generic deque-derived container which transparently acts either as a stack or a queue, and optionally a capacity restriction with a configurable policy which element is evicted (or reject) if the maximum capacity is reached.
BoundedDeque(BoundedDeque.AccessPolicy) - Constructor for class de.learnlib.filter.reuse.tree.BoundedDeque
Constructor.
BoundedDeque(int, BoundedDeque.AccessPolicy, BoundedDeque.EvictPolicy) - Constructor for class de.learnlib.filter.reuse.tree.BoundedDeque
Constructor.
BoundedDeque.AccessPolicy - Enum in de.learnlib.filter.reuse.tree
The policy which determines in which order elements are accessed.
BoundedDeque.EvictPolicy - Enum in de.learnlib.filter.reuse.tree
The policy which determines in which order elements are removed if the maximum capacity is reached.
BoundedStringQueue() - Constructor for class de.learnlib.examples.example2.Example.BoundedStringQueue
 
build() - Method in class de.learnlib.filter.reuse.ReuseOracle.ReuseOracleBuilder
 
build() - Method in class de.learnlib.filter.reuse.tree.ReuseTree.ReuseTreeBuilder
 
buildADSFromObservation(Word<I>, Word<O>, S) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
Build a single trace ADS from the given information.
buildADSFromTrace(MealyMachine<S, I, ?, O>, Word<I>, S) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
BuilderDefaults() - Constructor for class de.learnlib.algorithms.adt.learner.ADTLearner.BuilderDefaults
 
BuilderDefaults() - Constructor for class de.learnlib.algorithms.dhc.mealy.MealyDHC.BuilderDefaults
 
BuilderDefaults() - Constructor for class de.learnlib.algorithms.discriminationtree.AbstractDTLearner.BuilderDefaults
 
BuilderDefaults() - Constructor for class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA.BuilderDefaults
 
BuilderDefaults() - Constructor for class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
 
BuilderDefaults() - Constructor for class de.learnlib.algorithms.ttt.base.AbstractTTTLearner.BuilderDefaults
 
buildFromADS(ADSNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
Utility method that wraps a ADS of type ADSNode into the equivalent ADS of type ADTNode.
buildTraceForNode(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
BWD_ANALYZERS - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
 

C

canFork() - Method in interface de.learnlib.api.SUL
Returns whether this SUL is capable of forking.
canFork() - Method in class de.learnlib.driver.util.MealySimulatorSUL
 
canFork() - Method in class de.learnlib.drivers.api.TestDriver
 
canFork() - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
canFork() - Method in class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
canFork() - Method in class de.learnlib.filter.statistic.sul.SymbolCounterSUL
 
canFork() - Method in interface de.learnlib.mapper.api.SULMapper
Checks whether it is possible to fork this mapper.
canFork() - Method in class de.learnlib.mapper.ContextExecutableInputSUL
 
canFork() - Method in class de.learnlib.mapper.ExecutableInputSUL
 
canFork() - Method in class de.learnlib.mapper.MappedSUL
 
Category - Enum in de.learnlib.api.logging
Categories for markers.
cellContents(Row<I>, int) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
cellContents(Row<I>, int) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
cellContents(Row<I>, int) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
cexHandler() - Static method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
 
cexHandler - Variable in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
checkEffects(E, E) - Method in interface de.learnlib.acex.AbstractCounterexample
 
checkEffects(Boolean, Boolean) - Method in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA.PrefixTransformAcex
 
checkEffects(Boolean, Boolean) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA.KVAbstractCounterexample
 
checkEffects(Boolean, Boolean) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy.KVAbstractCounterexample
 
checkEffects(Boolean, Boolean) - Method in class de.learnlib.counterexamples.acex.ClassicPrefixTransformAcex
 
checkEffects(Word<O>, Word<O>) - Method in class de.learnlib.counterexamples.acex.MealyOutInconsPrefixTransformAcex
 
checkEffects(D, D) - Method in class de.learnlib.counterexamples.acex.OutInconsPrefixTransformAcex
 
child(O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
child(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
children - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
choose() - Method in class de.learnlib.datastructure.list.IntrusiveList
Retrieves any block from the list.
chooseMinimal() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.TransList
 
CLASSIC_LSTAR - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
ClassicLStarDFA<I> - Class in de.learnlib.algorithms.lstar.dfa
Implementation of the L* algorithm by Dana Angluin.
ClassicLStarDFA(Alphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.lstar.dfa.ClassicLStarDFA
 
ClassicLStarMealy<I,O> - Class in de.learnlib.algorithms.lstar.mealy
An implementation of the L*Mealy algorithm for inferring Mealy machines, as described by Oliver Niese in his Ph.D.
ClassicLStarMealy(Alphabet<I>, MembershipOracle<I, O>, ObservationTableCEXHandler<? super I, ? super O>, ClosingStrategy<? super I, ? super O>) - Constructor for class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
Constructor.
ClassicLStarMealy(Alphabet<I>, MembershipOracle<I, O>, List<Word<I>>, List<Word<I>>, ObservationTableCEXHandler<? super I, ? super O>, ClosingStrategy<? super I, ? super O>) - Constructor for class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
ClassicPrefixTransformAcex<I,D> - Class in de.learnlib.counterexamples.acex
An abstract counterexample based on prefix transformations.
ClassicPrefixTransformAcex(Word<I>, MembershipOracle<I, D>, SuffixOutput<I, D>, Function<Word<I>, Word<I>>) - Constructor for class de.learnlib.counterexamples.acex.ClassicPrefixTransformAcex
 
ClassicPrefixTransformAcex(Word<I>, int, MembershipOracle<I, D>, SuffixOutput<I, D>, Function<Word<I>, Word<I>>) - Constructor for class de.learnlib.counterexamples.acex.ClassicPrefixTransformAcex
 
clear() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
clear() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
 
clearSystemStates() - Method in class de.learnlib.filter.reuse.tree.ReuseNode
 
clearTransition(ADTTransition<I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTState
 
clearTree() - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Clears the whole tree which means the root will be reinitialized by a new ReuseNode and all existing system states will be disposed.
CLOSE_FIRST - Static variable in class de.learnlib.algorithms.lstar.closing.ClosingStrategies
Closing strategy that selects the first row from each equivalence class as representative.
CLOSE_LEX_MIN - Static variable in class de.learnlib.algorithms.lstar.closing.ClosingStrategies
Closing strategy that selects the lexicographically minimal row (wrt. its prefix) of each equivalence class as representative.
CLOSE_RANDOM - Static variable in class de.learnlib.algorithms.lstar.closing.ClosingStrategies
Closing strategy that randomly selects one representative row to close from each equivalence class.
CLOSE_SHORTEST - Static variable in class de.learnlib.algorithms.lstar.closing.ClosingStrategies
Closing strategy that selects the shortest row of each equivalence class (more precisely: a row which's prefix has minimal length in the respective class) as representative.
CloseRandomStrategy - Class in de.learnlib.algorithms.lstar.closing
 
CloseRandomStrategy() - Constructor for class de.learnlib.algorithms.lstar.closing.CloseRandomStrategy
 
CloseRandomStrategy(Random) - Constructor for class de.learnlib.algorithms.lstar.closing.CloseRandomStrategy
 
closeTransition(S, I) - Method in interface de.learnlib.algorithms.adt.api.PartialTransitionAnalyzer
Determine the successor/output of the transition in question (which is usually achieved by sifting the corresponding long-prefix through the ADT).
closeTransition(ADTState<I, O>, I) - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
closeTransitions() - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
closeTransitions() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
ClosingStrategies - Class in de.learnlib.algorithms.lstar.closing
Collection of predefined observation table closing strategies.
closingStrategy() - Static method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
 
closingStrategy - Variable in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
ClosingStrategy<I,D> - Interface in de.learnlib.algorithms.lstar.closing
A closing strategy, determining how to proceed when an observation table needs to be closed.
collectADSNodes(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
collectDirectSubADSs(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
collectLeaves(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
collectResetNodes(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
color - Variable in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
compareTo(S) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
complete(MembershipOracle<I, D>, int) - Static method in class de.learnlib.oracle.equivalence.EquivalenceQueries
 
completeConsistentTable(List<List<Row<I>>>, boolean) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
Iteratedly checks for unclosedness and inconsistencies in the table, and fixes any occurrences thereof.
CompleteExplorationEQOracle<I,D> - Class in de.learnlib.oracle.equivalence
Implements an equivalence check by complete exploration up to a given depth, i.e., by testing all possible sequences of a certain length within a specified range.
CompleteExplorationEQOracle(MembershipOracle<I, D>, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle
Constructor.
CompleteExplorationEQOracle(MembershipOracle<I, D>, int, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle
Constructor.
CompleteExplorationEQOracle(MembershipOracle<I, D>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle
Constructor.
CompleteExplorationEQOracle.DFACompleteExplorationEQOracle<I> - Class in de.learnlib.oracle.equivalence
 
CompleteExplorationEQOracle.MealyCompleteExplorationEQOracle<I,O> - Class in de.learnlib.oracle.equivalence
 
compose(Mapper<? super AI, ? extends AO, ACI, CAO>, Mapper<? super ACI, ? extends CAO, ? extends CI, ? super CO>) - Static method in class de.learnlib.mapper.Mappers
 
compose(Mapper.AsynchronousMapper<? super AI, ? extends AO, ACI, CAO>, Mapper.AsynchronousMapper<? super ACI, ? extends CAO, ? extends CI, ? super CO>) - Static method in class de.learnlib.mapper.Mappers
 
compose(Mapper.SynchronousMapper<? super AI, ? extends AO, ACI, CAO>, Mapper.SynchronousMapper<? super ACI, ? extends CAO, ? extends CI, ? super CO>) - Static method in class de.learnlib.mapper.Mappers
 
compose(SULMapper<? super AI, ? extends AO, ACI, CAO>, SULMapper<? super ACI, ? extends CAO, ? extends CI, ? super CO>) - Static method in class de.learnlib.mapper.SULMappers
 
compute(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>, PartialTransitionAnalyzer<S, I>) - Static method in class de.learnlib.algorithms.adt.ads.DefensiveADS
Compute an adaptive distinguishing sequence (as an ADT) for the given automaton and the given set of states.
compute(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>) - Method in interface de.learnlib.algorithms.adt.config.model.ADSCalculator
 
compute(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>) - Method in class de.learnlib.algorithms.adt.config.model.calculator.AbstractCalculator
 
compute(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>, PartialTransitionAnalyzer<S, I>) - Method in class de.learnlib.algorithms.adt.config.model.calculator.BestEffortDefensiveCalculator
 
compute(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>, PartialTransitionAnalyzer<S, I>) - Method in interface de.learnlib.algorithms.adt.config.model.DefensiveADSCalculator
 
computeEffect(int) - Method in class de.learnlib.acex.impl.AbstractBaseCounterexample
 
computeEffect(int) - Method in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA.PrefixTransformAcex
 
computeEffect(int) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA.KVAbstractCounterexample
 
computeEffect(int) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy.KVAbstractCounterexample
 
computeEffect(int) - Method in class de.learnlib.counterexamples.acex.ClassicPrefixTransformAcex
 
computeEffect(int) - Method in class de.learnlib.counterexamples.acex.OutInconsPrefixTransformAcex
 
computeEffectiveResets(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
Computes how often reset nodes are encountered when traversing from the given node to the leaves of the induced subtree of the given node.
computeExtension(ADTHypothesis<I, O>, PartialTransitionAnalyzer<ADTState<I, O>, I>, ADTNode<ADTState<I, O>, I, O>) - Method in interface de.learnlib.algorithms.adt.api.ADTExtender
Compute the ADT whose root node should replace the root of the temporary splitter in the current ADT.
computeExtension(ADTHypothesis<I, O>, PartialTransitionAnalyzer<ADTState<I, O>, I>, ADTNode<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithms.adt.config.model.extender.DefaultExtender
 
computeHypothesisOutput(TTTState<I, D>, Word<I>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
computeHypothesisOutput(TTTState<I, Boolean>, Word<I>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
computeHypothesisOutput(TTTState<I, Word<O>>, Word<I>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
computeHypothesisOutput(Word<I>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
computeInternal(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>) - Method in class de.learnlib.algorithms.adt.config.model.calculator.AbstractCalculator
 
computeInternal(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>) - Method in class de.learnlib.algorithms.adt.config.model.calculator.BestEffortCalculator
 
computeInternal(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>) - Method in class de.learnlib.algorithms.adt.config.model.calculator.MinLengthCalculator
 
computeInternal(MealyMachine<S, I, ?, O>, Alphabet<I>, Set<S>) - Method in class de.learnlib.algorithms.adt.config.model.calculator.MinSizeCalculator
 
computeModel() - Method in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
 
computeModel() - Method in class de.learnlib.algorithms.rpni.BlueFringeEDSMDFA
 
computeModel() - Method in interface de.learnlib.api.algorithm.PassiveLearningAlgorithm
 
computeNext() - Method in class de.learnlib.datastructure.discriminationtree.iterators.InnerNodesIterator
 
computeNext() - Method in class de.learnlib.datastructure.discriminationtree.iterators.LeavesIterator
 
computeNext() - Method in class de.learnlib.datastructure.discriminationtree.iterators.NodesIterator
 
computeNext() - Method in class de.learnlib.datastructure.discriminationtree.iterators.TransformingLeavesIterator
 
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet<I>, ADT<S, I, O>) - Method in interface de.learnlib.algorithms.adt.api.SubtreeReplacer
Compute how certain nodes of the ADT should be replaced.
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet<I>, ADT<S, I, O>) - Method in class de.learnlib.algorithms.adt.config.model.replacer.ExhaustiveReplacer
 
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet<I>, ADT<S, I, O>) - Method in class de.learnlib.algorithms.adt.config.model.replacer.LevelOrderReplacer
 
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet<I>, ADT<S, I, O>) - Method in class de.learnlib.algorithms.adt.config.model.replacer.SingleReplacer
 
ConcreteMethodInput - Class in de.learnlib.drivers.reflect
A concrete inputs contains the information for one specific method call.
ConcreteMethodInput(MethodInput, Map<String, Object>, Object) - Constructor for class de.learnlib.drivers.reflect.ConcreteMethodInput
 
constructMachine() - Static method in class de.learnlib.examples.dfa.ExampleAngluin
 
constructMachine(A) - Static method in class de.learnlib.examples.dfa.ExampleAngluin
 
constructMachine() - Static method in class de.learnlib.examples.dfa.ExamplePaulAndMary
Construct and return a machine representation of this example.
constructMachine(A) - Static method in class de.learnlib.examples.dfa.ExamplePaulAndMary
 
constructMachine() - Static method in class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
constructMachine(A) - Static method in class de.learnlib.examples.mealy.ExampleCoffeeMachine
Construct and return a machine representation of this example.
constructMachine(int, int) - Static method in class de.learnlib.examples.mealy.ExampleGrid
 
constructMachine(A, int, int) - Static method in class de.learnlib.examples.mealy.ExampleGrid
Construct and return a machine representation of this example.
constructMachine() - Static method in class de.learnlib.examples.mealy.ExampleShahbazGroz
 
constructMachine(A) - Static method in class de.learnlib.examples.mealy.ExampleShahbazGroz
Construct and return a machine representation of this example.
constructMachine() - Static method in class de.learnlib.examples.mealy.ExampleStack
 
constructMachine(A) - Static method in class de.learnlib.examples.mealy.ExampleStack
Construct and return a machine representation of this example.
containsKey(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
containsValue(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
ContextExecutableInput<O,C> - Interface in de.learnlib.mapper.api
 
ContextExecutableInputSUL<I extends ContextExecutableInput<? extends O,? super C>,O,C> - Class in de.learnlib.mapper
A SUL that executes ContextExecutableInput symbols.
ContextExecutableInputSUL(ContextExecutableInputSUL.ContextHandler<C>) - Constructor for class de.learnlib.mapper.ContextExecutableInputSUL
 
ContextExecutableInputSUL.ContextHandler<C> - Interface in de.learnlib.mapper
Facility for creating and disposing of contexts on which ContextExecutableInputs operate.
ContextPair<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
ContextPair(Word<I>, Word<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.ContextPair
 
continueQuery(Word<I>, S) - Method in interface de.learnlib.filter.reuse.ReuseCapableOracle
This method will be invoked whenever a system state s was found for reusage when a new membership query is processed.
copy() - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
copy(RichArray<TP>) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
copy() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
Counter - Class in de.learnlib.filter.statistic
simple counter.
Counter(String, String) - Constructor for class de.learnlib.filter.statistic.Counter
 
CounterOracle<I,D> - Class in de.learnlib.filter.statistic.oracle
Counts queries.
CounterOracle(MembershipOracle<I, D>, String) - Constructor for class de.learnlib.filter.statistic.oracle.CounterOracle
 
CounterOracle.DFACounterOracle<I> - Class in de.learnlib.filter.statistic.oracle
 
CounterOracle.MealyCounterOracle<I,O> - Class in de.learnlib.filter.statistic.oracle
 
countStates() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Counts the number of states in this PTA.
create(EquivalenceOracle<A, I, D>) - Static method in class de.learnlib.oracle.equivalence.SimpleEQOracle
 
create() - Method in class de.learnlib.oracle.parallelism.DynamicParallelOracleBuilder
 
create() - Method in class de.learnlib.oracle.parallelism.StaticParallelOracleBuilder
 
createCache(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches
Creates a cache oracle for a DFA learning setup.
createCache(Alphabet<I>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches
Creates a cache oracle for a Mealy machine learning setup.
createCache(Alphabet<I>, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches
 
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.dfa.DFACacheOracle
Creates an equivalence oracle that checks an hypothesis for consistency with the contents of this cache.
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.dfa.DFAHashCacheOracle
 
createCacheConsistencyTest() - Method in interface de.learnlib.filter.cache.LearningCache
Creates a cache consistency test.
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.sul.SULCache
 
createChild(Boolean, HypLoc<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
createChild(Boolean, TTTState<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA.ExtDTNode
 
createChild(Boolean, TTTState<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTDTNodeDFA
 
createChild(D, TTTState<I, D>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTDTNodeMealy
 
createChild(Boolean, D) - Method in class de.learnlib.datastructure.discriminationtree.BinaryDTNode
 
createChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
createChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.MultiDTNode
 
createChildMap() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
createChildMap() - Method in class de.learnlib.algorithms.ttt.dfa.TTTDTNodeDFA
 
createChildMap() - Method in class de.learnlib.algorithms.ttt.mealy.TTTDTNodeMealy
 
createChildMap() - Method in class de.learnlib.datastructure.discriminationtree.BinaryDTNode
 
createChildMap() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
createChildMap() - Method in class de.learnlib.datastructure.discriminationtree.MultiDTNode
 
createContext() - Method in class de.learnlib.mapper.AbstractContextExecutableInputSUL
 
createContext() - Method in interface de.learnlib.mapper.ContextExecutableInputSUL.ContextHandler
 
createContext() - Method in class de.learnlib.mapper.ContextExecutableInputSUL
 
createDAGCache(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches
Creates a cache oracle for a DFA learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet<I>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches
Creates a cache oracle for a Mealy machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet<I>, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches
Creates a cache oracle for a Mealy machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet<I>, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCache
 
createDAGCache(Alphabet<I>, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches
 
createDAGCacheOracle(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACacheOracle
 
createDAGCacheOracle(Alphabet<I>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
createDAGCacheOracle(Alphabet<I>, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
createDAGPCCache(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches
 
createDAGPCCacheOracle(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACacheOracle
 
createDFA(int, boolean, int) - Static method in class de.learnlib.examples.dfa.ExampleKeylock
 
createDFAExamples() - Static method in class de.learnlib.examples.LearningExamples
 
createExample() - Static method in class de.learnlib.examples.dfa.ExampleAngluin
 
createExample(int, boolean) - Static method in class de.learnlib.examples.dfa.ExampleKeylock
 
createExample(int, boolean, int) - Static method in class de.learnlib.examples.dfa.ExampleKeylock
 
createExample() - Static method in class de.learnlib.examples.dfa.ExamplePaulAndMary
 
createExample() - Static method in class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
createExample(int, int) - Static method in class de.learnlib.examples.mealy.ExampleGrid
 
createExample(Random, Alphabet<I>, int, O...) - Static method in class de.learnlib.examples.mealy.ExampleRandomMealy
 
createExample() - Static method in class de.learnlib.examples.mealy.ExampleShahbazGroz
 
createExample() - Static method in class de.learnlib.examples.mealy.ExampleStack
 
createExampleITCases() - Method in class de.learnlib.testsupport.it.learner.AbstractDFALearnerIT
 
createExampleITCases() - Method in class de.learnlib.testsupport.it.learner.AbstractDFAPassiveLearnerIT
 
createExampleITCases(LearningExample<I, D, A>, LearnerVariantListImpl<A, I, D>) - Method in class de.learnlib.testsupport.it.learner.AbstractLearnerIT
Creates a list of per-example test cases for all learner variants.
createExampleITCases() - Method in class de.learnlib.testsupport.it.learner.AbstractMealyLearnerIT
 
createExampleITCases() - Method in class de.learnlib.testsupport.it.learner.AbstractMealyPassiveLearnerIT
 
createExampleITCases() - Method in class de.learnlib.testsupport.it.learner.AbstractMealySymLearnerIT
 
createForSymbolOracle(Alphabet<I>, MembershipOracle<I, O>, ObservationTableCEXHandler<I, O>, ClosingStrategy<? super I, ? super O>) - Static method in class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
createForWordOracle(Alphabet<I>, MembershipOracle<I, Word<O>>, ObservationTableCEXHandler<? super I, ? super O>, ClosingStrategy<? super I, ? super O>) - Static method in class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
createHashCache(MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches
 
createInputAlphabet() - Static method in class de.learnlib.examples.dfa.ExampleAngluin
 
createInputAlphabet() - Static method in class de.learnlib.examples.dfa.ExamplePaulAndMary
 
createInputAlphabet() - Static method in class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
createInputAlphabet() - Static method in class de.learnlib.examples.mealy.ExampleGrid
 
createInputAlphabet() - Static method in class de.learnlib.examples.mealy.ExampleShahbazGroz
 
createInputAlphabet() - Static method in class de.learnlib.examples.mealy.ExampleStack
 
createLocation(boolean, Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
createLocation(boolean, AbstractHypTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
createLocation(AbstractHypTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
createLocation(Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
createMap() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
createMealyExamples() - Static method in class de.learnlib.examples.LearningExamples
 
createNewNode(AbstractBaseDTNode<I, D>, D) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
createNewNode(AbstractBaseDTNode<I, Boolean>, Boolean) - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
createNewNode(AbstractBaseDTNode<I, Word<O>>, Word<O>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
createOpenTransition(ADTState<I, O>, I, ADTNode<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
createPassiveExampleITCases(PassiveLearningExample<I, D>, PassiveLearnerVariantListImpl<A, I, D>) - Method in class de.learnlib.testsupport.it.learner.AbstractPassiveLearnerIT
Creates a list of per-example test cases for all learner variants (passive version).
createState(Void) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
createState(HTransition<I, D, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
createState(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
createState(boolean, Row<I>) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
createState(TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
createState() - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
createState() - Method in class de.learnlib.datastructure.pta.pta.BlueFringePTAState
 
createSuccessor(int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
createSuccessor(int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
createTransition(ADTState<I, O>, O) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
createTransition(TTTState<I, D>, I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
createTransition(TTTState<I, Word<O>>, I) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
createTreeCache(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches
 
createTreeCache(Alphabet<I>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches
Creates a cache oracle for a Mealy machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet<I>, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches
Creates a cache oracle for a Mealy machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet<I>, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCache
 
createTreeCache(Alphabet<I>, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches
 
createTreeCacheOracle(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACacheOracle
 
createTreeCacheOracle(Alphabet<I>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
createTreeCacheOracle(Alphabet<I>, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
createTreePCCache(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches
 
createTreePCCacheOracle(Alphabet<I>, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACacheOracle
 
createWorklist() - Method in interface de.learnlib.datastructure.pta.bluefringe.ProcessingOrder
Creates a worklist for managing the set of blue states in the RPNI algorithm.
currentTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 

D

data - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
de.learnlib.acex - package de.learnlib.acex
 
de.learnlib.acex.analyzers - package de.learnlib.acex.analyzers
 
de.learnlib.acex.impl - package de.learnlib.acex.impl
 
de.learnlib.algorithms.adt.ads - package de.learnlib.algorithms.adt.ads
 
de.learnlib.algorithms.adt.adt - package de.learnlib.algorithms.adt.adt
 
de.learnlib.algorithms.adt.api - package de.learnlib.algorithms.adt.api
 
de.learnlib.algorithms.adt.automaton - package de.learnlib.algorithms.adt.automaton
 
de.learnlib.algorithms.adt.config - package de.learnlib.algorithms.adt.config
 
de.learnlib.algorithms.adt.config.model - package de.learnlib.algorithms.adt.config.model
 
de.learnlib.algorithms.adt.config.model.calculator - package de.learnlib.algorithms.adt.config.model.calculator
 
de.learnlib.algorithms.adt.config.model.extender - package de.learnlib.algorithms.adt.config.model.extender
 
de.learnlib.algorithms.adt.config.model.replacer - package de.learnlib.algorithms.adt.config.model.replacer
 
de.learnlib.algorithms.adt.learner - package de.learnlib.algorithms.adt.learner
 
de.learnlib.algorithms.adt.model - package de.learnlib.algorithms.adt.model
 
de.learnlib.algorithms.adt.util - package de.learnlib.algorithms.adt.util
 
de.learnlib.algorithms.dhc.mealy - package de.learnlib.algorithms.dhc.mealy
 
de.learnlib.algorithms.discriminationtree - package de.learnlib.algorithms.discriminationtree
 
de.learnlib.algorithms.discriminationtree.dfa - package de.learnlib.algorithms.discriminationtree.dfa
 
de.learnlib.algorithms.discriminationtree.hypothesis - package de.learnlib.algorithms.discriminationtree.hypothesis
 
de.learnlib.algorithms.discriminationtree.hypothesis.vpda - package de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
de.learnlib.algorithms.discriminationtree.mealy - package de.learnlib.algorithms.discriminationtree.mealy
 
de.learnlib.algorithms.discriminationtree.vpda - package de.learnlib.algorithms.discriminationtree.vpda
 
de.learnlib.algorithms.kv - package de.learnlib.algorithms.kv
 
de.learnlib.algorithms.kv.dfa - package de.learnlib.algorithms.kv.dfa
 
de.learnlib.algorithms.kv.mealy - package de.learnlib.algorithms.kv.mealy
 
de.learnlib.algorithms.lstar - package de.learnlib.algorithms.lstar
 
de.learnlib.algorithms.lstar.ce - package de.learnlib.algorithms.lstar.ce
 
de.learnlib.algorithms.lstar.closing - package de.learnlib.algorithms.lstar.closing
 
de.learnlib.algorithms.lstar.dfa - package de.learnlib.algorithms.lstar.dfa
 
de.learnlib.algorithms.lstar.mealy - package de.learnlib.algorithms.lstar.mealy
 
de.learnlib.algorithms.malerpnueli - package de.learnlib.algorithms.malerpnueli
 
de.learnlib.algorithms.nlstar - package de.learnlib.algorithms.nlstar
 
de.learnlib.algorithms.rivestschapire - package de.learnlib.algorithms.rivestschapire
 
de.learnlib.algorithms.rpni - package de.learnlib.algorithms.rpni
 
de.learnlib.algorithms.ttt.base - package de.learnlib.algorithms.ttt.base
 
de.learnlib.algorithms.ttt.dfa - package de.learnlib.algorithms.ttt.dfa
 
de.learnlib.algorithms.ttt.mealy - package de.learnlib.algorithms.ttt.mealy
 
de.learnlib.algorithms.ttt.vpda - package de.learnlib.algorithms.ttt.vpda
 
de.learnlib.api - package de.learnlib.api
 
de.learnlib.api.algorithm - package de.learnlib.api.algorithm
 
de.learnlib.api.algorithm.feature - package de.learnlib.api.algorithm.feature
 
de.learnlib.api.exception - package de.learnlib.api.exception
 
de.learnlib.api.logging - package de.learnlib.api.logging
 
de.learnlib.api.oracle - package de.learnlib.api.oracle
 
de.learnlib.api.query - package de.learnlib.api.query
 
de.learnlib.api.setting - package de.learnlib.api.setting
 
de.learnlib.api.statistic - package de.learnlib.api.statistic
 
de.learnlib.counterexamples - package de.learnlib.counterexamples
 
de.learnlib.counterexamples.acex - package de.learnlib.counterexamples.acex
 
de.learnlib.datastructure.discriminationtree - package de.learnlib.datastructure.discriminationtree
 
de.learnlib.datastructure.discriminationtree.iterators - package de.learnlib.datastructure.discriminationtree.iterators
 
de.learnlib.datastructure.discriminationtree.model - package de.learnlib.datastructure.discriminationtree.model
 
de.learnlib.datastructure.list - package de.learnlib.datastructure.list
 
de.learnlib.datastructure.observationtable - package de.learnlib.datastructure.observationtable
 
de.learnlib.datastructure.observationtable.reader - package de.learnlib.datastructure.observationtable.reader
 
de.learnlib.datastructure.observationtable.writer - package de.learnlib.datastructure.observationtable.writer
 
de.learnlib.datastructure.pta.bluefringe - package de.learnlib.datastructure.pta.bluefringe
 
de.learnlib.datastructure.pta.pta - package de.learnlib.datastructure.pta.pta
 
de.learnlib.driver.util - package de.learnlib.driver.util
 
de.learnlib.drivers.api - package de.learnlib.drivers.api
 
de.learnlib.drivers.reflect - package de.learnlib.drivers.reflect
 
de.learnlib.examples - package de.learnlib.examples
 
de.learnlib.examples.dfa - package de.learnlib.examples.dfa
 
de.learnlib.examples.example1 - package de.learnlib.examples.example1
 
de.learnlib.examples.example2 - package de.learnlib.examples.example2
 
de.learnlib.examples.example3 - package de.learnlib.examples.example3
 
de.learnlib.examples.mealy - package de.learnlib.examples.mealy
 
de.learnlib.filter.cache - package de.learnlib.filter.cache
 
de.learnlib.filter.cache.dfa - package de.learnlib.filter.cache.dfa
 
de.learnlib.filter.cache.mealy - package de.learnlib.filter.cache.mealy
 
de.learnlib.filter.cache.sul - package de.learnlib.filter.cache.sul
 
de.learnlib.filter.reuse - package de.learnlib.filter.reuse
 
de.learnlib.filter.reuse.tree - package de.learnlib.filter.reuse.tree
 
de.learnlib.filter.statistic - package de.learnlib.filter.statistic
 
de.learnlib.filter.statistic.oracle - package de.learnlib.filter.statistic.oracle
 
de.learnlib.filter.statistic.sul - package de.learnlib.filter.statistic.sul
 
de.learnlib.mapper - package de.learnlib.mapper
 
de.learnlib.mapper.api - package de.learnlib.mapper.api
 
de.learnlib.oracle.equivalence - package de.learnlib.oracle.equivalence
 
de.learnlib.oracle.equivalence.mealy - package de.learnlib.oracle.equivalence.mealy
 
de.learnlib.oracle.equivalence.vpda - package de.learnlib.oracle.equivalence.vpda
 
de.learnlib.oracle.membership - package de.learnlib.oracle.membership
 
de.learnlib.oracle.parallelism - package de.learnlib.oracle.parallelism
 
de.learnlib.setting - package de.learnlib.setting
 
de.learnlib.setting.sources - package de.learnlib.setting.sources
 
de.learnlib.testsupport - package de.learnlib.testsupport
 
de.learnlib.testsupport.it.learner - package de.learnlib.testsupport.it.learner
 
de.learnlib.util - package de.learnlib.util
 
de.learnlib.util.mealy - package de.learnlib.util.mealy
 
de.learnlib.util.nfa - package de.learnlib.util.nfa
 
de.learnlib.util.statistics - package de.learnlib.util.statistics
 
debug(String) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(String, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(String, Object, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(String, Object...) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(String, Throwable) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(Marker, String) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(Marker, String, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(Marker, String, Object, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(Marker, String, Object...) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
debug(Marker, String, Throwable) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
decideOnValidMerge(RedBlueMerge<SP, TP, BlueFringePTAState<SP, TP>>) - Method in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
Implementing the method allows subclasses to decide (and possible reject) valid merges.
decideOnValidMerge(RedBlueMerge<Boolean, Void, BlueFringePTAState<Boolean, Void>>) - Method in class de.learnlib.algorithms.rpni.BlueFringeMDLDFA
 
declareFinal(AbstractBaseDTNode<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
declareFinal(DTNode<I>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
DEFAULT_AUTOMATON_SIZE - Static variable in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
DEFAULT_SPLITTER - Static variable in class de.learnlib.algorithms.adt.config.LeafSplitters
 
DefaultDFALearningExample(A) - Constructor for class de.learnlib.examples.DefaultLearningExample.DefaultDFALearningExample
 
DefaultDFALearningExample(Alphabet<I>, DFA<?, I>) - Constructor for class de.learnlib.examples.DefaultLearningExample.DefaultDFALearningExample
 
DefaultExtender - Class in de.learnlib.algorithms.adt.config.model.extender
 
DefaultExtender(DefensiveADSCalculator) - Constructor for class de.learnlib.algorithms.adt.config.model.extender.DefaultExtender
 
DefaultLearningExample<I,D,A extends net.automatalib.automata.UniversalAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.SuffixOutput<I,D>> - Class in de.learnlib.examples
A learning example that directly stores the alphabet and the reference automaton in its fields.
DefaultLearningExample(Alphabet<I>, A) - Constructor for class de.learnlib.examples.DefaultLearningExample
 
DefaultLearningExample.DefaultDFALearningExample<I> - Class in de.learnlib.examples
 
DefaultLearningExample.DefaultMealyLearningExample<I,D> - Class in de.learnlib.examples
 
DefaultMealyLearningExample(A) - Constructor for class de.learnlib.examples.DefaultLearningExample.DefaultMealyLearningExample
 
DefaultMealyLearningExample(Alphabet<I>, MealyMachine<?, I, ?, D>) - Constructor for class de.learnlib.examples.DefaultLearningExample.DefaultMealyLearningExample
 
DefaultPassiveLearningExample<I,D> - Class in de.learnlib.examples
Default implementation for a passive learning example.
DefaultPassiveLearningExample(Collection<DefaultQuery<I, D>>, Alphabet<I>) - Constructor for class de.learnlib.examples.DefaultPassiveLearningExample
 
DefaultProcessingOrders - Enum in de.learnlib.datastructure.pta.bluefringe
Standard processing orders that can be used for the RPNI algorithm.
DefaultQuery<I,D> - Class in de.learnlib.api.query
A query is a container for tests a learning algorithms performs, containing the actual test and the corresponding result.
DefaultQuery(Word<I>, Word<I>, D) - Constructor for class de.learnlib.api.query.DefaultQuery
 
DefaultQuery(Word<I>, Word<I>) - Constructor for class de.learnlib.api.query.DefaultQuery
 
DefaultQuery(Word<I>) - Constructor for class de.learnlib.api.query.DefaultQuery
 
DefaultQuery(Word<I>, D) - Constructor for class de.learnlib.api.query.DefaultQuery
 
DefaultQuery(Query<I, ?>) - Constructor for class de.learnlib.api.query.DefaultQuery
 
DefensiveADS<S,I,O> - Class in de.learnlib.algorithms.adt.ads
A variant of the backtracking ADS search (see ADS, BacktrackingSearch), that works on partially defined automata.
DefensiveADSCalculator - Interface in de.learnlib.algorithms.adt.config.model
 
delegate - Variable in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
delegate - Variable in class de.learnlib.oracle.equivalence.DelegateEQOracle
 
DelegateEQOracle<A,I,D> - Class in de.learnlib.oracle.equivalence
 
DelegateEQOracle(EquivalenceOracle<? super A, I, D>) - Constructor for class de.learnlib.oracle.equivalence.DelegateEQOracle
 
depth - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
deriveAcex(OutputInconsistency<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
deriveAcex(OutputInconsistency<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
deriveAcex(OutputInconsistency<I, Word<O>>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
deriveAcex(OutputInconsistency<I>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
deterministic - Variable in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
 
determinize(State<HypLoc<I>>, Word<I>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
DFABenchmarks - Class in de.learnlib.examples.dfa
 
DFACacheConsistencyTest<I> - Class in de.learnlib.filter.cache.dfa
An EquivalenceOracle that tests an hypothesis for consistency with the contents of a DFACacheOracle.
DFACacheConsistencyTest(IncrementalDFABuilder<I>, Lock) - Constructor for class de.learnlib.filter.cache.dfa.DFACacheConsistencyTest
Constructor.
DFACacheOracle<I> - Class in de.learnlib.filter.cache.dfa
DFA cache.
DFACacheOracle(Alphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.filter.cache.dfa.DFACacheOracle
Deprecated.
DFACacheOracle(IncrementalDFABuilder<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.filter.cache.dfa.DFACacheOracle
 
DFACaches - Class in de.learnlib.filter.cache.dfa
 
DFACompleteExplorationEQOracle(MembershipOracle<I, Boolean>, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.DFACompleteExplorationEQOracle
 
DFACompleteExplorationEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.DFACompleteExplorationEQOracle
 
DFACompleteExplorationEQOracle(MembershipOracle<I, Boolean>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.DFACompleteExplorationEQOracle
 
DFACounterOracle(MembershipOracle<I, Boolean>, String) - Constructor for class de.learnlib.filter.statistic.oracle.CounterOracle.DFACounterOracle
 
DFAEQOracleChain(EquivalenceOracle<? super DFA<?, I>, I, Boolean>...) - Constructor for class de.learnlib.oracle.equivalence.EQOracleChain.DFAEQOracleChain
 
DFAEQOracleChain(List<? extends EquivalenceOracle<? super DFA<?, I>, I, Boolean>>) - Constructor for class de.learnlib.oracle.equivalence.EQOracleChain.DFAEQOracleChain
 
DFAExperiment(LearningAlgorithm<? extends DFA<?, I>, I, Boolean>, EquivalenceOracle<? super DFA<?, I>, I, Boolean>, Alphabet<I>) - Constructor for class de.learnlib.util.Experiment.DFAExperiment
 
DFAHashCacheOracle<I> - Class in de.learnlib.filter.cache.dfa
 
DFAHashCacheOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.filter.cache.dfa.DFAHashCacheOracle
 
DFAIncrementalWMethodEQOracle(MembershipOracle<I, Boolean>, Alphabet<I>) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle.DFAIncrementalWMethodEQOracle
 
DFAIncrementalWMethodEQOracle(MembershipOracle<I, Boolean>, Alphabet<I>, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle.DFAIncrementalWMethodEQOracle
 
DFAIncrementalWMethodEQOracle(MembershipOracle<I, Boolean>, Alphabet<I>, int, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle.DFAIncrementalWMethodEQOracle
 
DFAJointCounterOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.filter.statistic.oracle.JointCounterOracle.DFAJointCounterOracle
 
DFAPassiveLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.learner.PassiveLearnerVariantListImpl.DFAPassiveLearnerVariantListImpl
 
DFARandomWMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.DFARandomWMethodEQOracle
 
DFARandomWMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.DFARandomWMethodEQOracle
 
DFARandomWMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.DFARandomWMethodEQOracle
 
DFARandomWMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.DFARandomWMethodEQOracle
 
DFARandomWordsEQOracle(MembershipOracle<I, Boolean>, int, int, int, Random) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle.DFARandomWordsEQOracle
 
DFARandomWordsEQOracle(MembershipOracle<I, Boolean>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle.DFARandomWordsEQOracle
 
DFARandomWpMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.DFARandomWpMethodEQOracle
 
DFARandomWpMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.DFARandomWpMethodEQOracle
 
DFARandomWpMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.DFARandomWpMethodEQOracle
 
DFARandomWpMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.DFARandomWpMethodEQOracle
 
DFASimulatorEQOracle(DFA<?, I>) - Constructor for class de.learnlib.oracle.equivalence.SimulatorEQOracle.DFASimulatorEQOracle
 
DFASimulatorOracle(DFA<?, I>) - Constructor for class de.learnlib.oracle.membership.SimulatorOracle.DFASimulatorOracle
 
DFAWMethodEQOracle(MembershipOracle<I, Boolean>, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle.DFAWMethodEQOracle
 
DFAWMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle.DFAWMethodEQOracle
 
DFAWpMethodEQOracle(MembershipOracle<I, Boolean>, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle.DFAWpMethodEQOracle
 
DFAWpMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle.DFAWpMethodEQOracle
 
discriminationTree - Variable in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
discriminationTree - Variable in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
discriminator - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
displayHTMLInBrowser(ObservationTable<I, D>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils
 
displayHTMLInBrowser(ObservationTable<I, D>, Function<? super Word<? extends I>, ? extends String>, Function<? super D, ? extends String>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils
Displays the observation table as a HTML document in the default browser.
dispose(S) - Method in interface de.learnlib.filter.reuse.tree.SystemStateHandler
The system state S will be removed from the ReuseTree.
disposeContext(C) - Method in class de.learnlib.mapper.AbstractContextExecutableInputSUL
 
disposeContext(C) - Method in interface de.learnlib.mapper.ContextExecutableInputSUL.ContextHandler
 
disposeContext(C) - Method in class de.learnlib.mapper.ContextExecutableInputSUL
 
disposeSystemstates() - Method in class de.learnlib.filter.reuse.tree.ReuseTree
This method removes all system states from the tree.
doGenerateTestWords(UniversalDeterministicAutomaton<S, I, ?, ?, ?>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle
 
doRefineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
doRefineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
DTLearnerDFA<I> - Class in de.learnlib.algorithms.discriminationtree.dfa
Algorithm for learning DFA using the Discrimination Tree algorithm.
DTLearnerDFA(Alphabet<I>, MembershipOracle<I, Boolean>, LocalSuffixFinder<? super I, ? super Boolean>, boolean, boolean) - Constructor for class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
Constructor.
DTLearnerDFA.BuilderDefaults - Class in de.learnlib.algorithms.discriminationtree.dfa
 
DTLearnerHypothesis<I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree.hypothesis
Basic hypothesis data structure for Discrimination Tree learning algorithms.
DTLearnerHypothesis(Alphabet<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
DTLearnerHypothesis.GraphView - Class in de.learnlib.algorithms.discriminationtree.hypothesis
 
DTLearnerMealy<I,O> - Class in de.learnlib.algorithms.discriminationtree.mealy
 
DTLearnerMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, LocalSuffixFinder<? super I, ? super Word<O>>, boolean) - Constructor for class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
Constructor.
DTLearnerState<I,D,SP,TP> - Class in de.learnlib.algorithms.discriminationtree
Class that contains all data that represent the internal state of the DTLearnerState learner and its DFA and Mealy implementations.
DTLearnerVPDA<I> - Class in de.learnlib.algorithms.discriminationtree.vpda
 
DTLearnerVPDA(VPDAlphabet<I>, MembershipOracle<I, Boolean>, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA
 
DTLearnerVPDA.PrefixTransformAcex - Class in de.learnlib.algorithms.discriminationtree.vpda
 
DTNode<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
DTNode(DTNode<I>, boolean) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
DTNode(DTNode<I>, boolean, HypLoc<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
dtNode - Variable in class de.learnlib.algorithms.kv.StateInfo
 
dtree - Variable in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
DTree<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
DTree(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTree
 
DTree(DTNode<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTree
 
dtree - Variable in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
dtree - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
DynamicParallelOracle<I,D> - Class in de.learnlib.oracle.parallelism
A parallel membership oracle that dynamically distributes queries to worker threads.
DynamicParallelOracle(Supplier<? extends MembershipOracle<I, D>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
DynamicParallelOracleBuilder<I,D> - Class in de.learnlib.oracle.parallelism
Builder class for a DynamicParallelOracle.
DynamicParallelOracleBuilder(Supplier<? extends MembershipOracle<I, D>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOracleBuilder
 

E

effect(int) - Method in interface de.learnlib.acex.AbstractCounterexample
 
effect(int) - Method in class de.learnlib.acex.impl.AbstractBaseCounterexample
 
empty() - Static method in class de.learnlib.algorithms.adt.model.ExtensionResult
Utility method, returning the (singleton) object indicating, no result could be computed.
ensureConsistency(TTTState<I, D>, AbstractBaseDTNode<I, D>, D) - Method in interface de.learnlib.algorithms.ttt.base.TTTEventListener
 
ensureInputCapacity(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
See ResizingObjectArray.ensureCapacity(int).
ensureInputCapacity(int) - Method in class de.learnlib.algorithms.ttt.base.TTTState
See ResizingObjectArray.ensureCapacity(int).
ensureSuffixCompliancy(List<Word<I>>) - Static method in class de.learnlib.algorithms.lstar.dfa.LStarDFAUtil
 
ensureSuffixCompliancy(List<Word<I>>, Alphabet<I>, boolean) - Static method in class de.learnlib.algorithms.lstar.mealy.LStarMealyUtil
 
entrySet() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
epsilonRoot() - Static method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA.BuilderDefaults
 
EQOracleChain<A,I,D> - Class in de.learnlib.oracle.equivalence
 
EQOracleChain(EquivalenceOracle<? super A, I, D>...) - Constructor for class de.learnlib.oracle.equivalence.EQOracleChain
 
EQOracleChain(List<? extends EquivalenceOracle<? super A, I, D>>) - Constructor for class de.learnlib.oracle.equivalence.EQOracleChain
 
EQOracleChain.DFAEQOracleChain<I> - Class in de.learnlib.oracle.equivalence
 
EQOracleChain.MealyEQOracleChain<I,O> - Class in de.learnlib.oracle.equivalence
 
equals(Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
equals(Object) - Method in class de.learnlib.api.query.Query
 
equals(Object) - Method in class de.learnlib.drivers.reflect.Error
 
equals(Object) - Method in class de.learnlib.drivers.reflect.ReturnValue
 
EquivalenceOracle<A,I,D> - Interface in de.learnlib.api.oracle
An equivalence oracle, which checks hypothesis automata against the (possibly unknown) system under learning (SUL).
EquivalenceOracle.DFAEquivalenceOracle<I> - Interface in de.learnlib.api.oracle
A specialization of the EquivalenceOracle interface for a DFA learning scenario.
EquivalenceOracle.MealyEquivalenceOracle<I,O> - Interface in de.learnlib.api.oracle
A specialization of the EquivalenceOracle interface for a Mealy learning scenario.
EquivalenceQueries - Class in de.learnlib.oracle.equivalence
 
error(String) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(String, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(String, Object, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(String, Object...) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(String, Throwable) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(Marker, String) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(Marker, String, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(Marker, String, Object, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(Marker, String, Object...) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
error(Marker, String, Throwable) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
Error - Class in de.learnlib.drivers.reflect
Error output.
Error(Throwable) - Constructor for class de.learnlib.drivers.reflect.Error
 
Example - Class in de.learnlib.examples.example1
This example shows the usage of a learning algorithm and an equivalence test as part of an experiment in order to learn a simulated SUL (system under learning).
Example - Class in de.learnlib.examples.example2
This example shows how a model of a Java class can be learned using the SUL (system under learning) interfaces and the random walks equivalence test.
Example - Class in de.learnlib.examples.example3
This example shows how to use the reuse filter on the Example.BoundedStringQueue of Example.
Example() - Constructor for class de.learnlib.examples.example3.Example
 
Example.BoundedStringQueue - Class in de.learnlib.examples.example2
 
ExampleAngluin - Class in de.learnlib.examples.dfa
This class provides the example used in the paper ''Learning Regular Sets from Queries and Counterexamples'' by Dana Angluin that consists of an automaton that accepts ''all strings over {0,1} with an even number of 0's and an even number of 1's''.
ExampleAngluin() - Constructor for class de.learnlib.examples.dfa.ExampleAngluin
 
ExampleCoffeeMachine - Class in de.learnlib.examples.mealy
This example represents the Coffee Machine example from Steffen et al.
ExampleCoffeeMachine() - Constructor for class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
ExampleCoffeeMachine.Input - Enum in de.learnlib.examples.mealy
 
ExampleGrid - Class in de.learnlib.examples.mealy
This class generates a Mealy machine consisting of a two-dimensional grid of states.
ExampleGrid(int, int) - Constructor for class de.learnlib.examples.mealy.ExampleGrid
 
ExampleKeylock - Class in de.learnlib.examples.dfa
 
ExampleKeylock(int, boolean, int) - Constructor for class de.learnlib.examples.dfa.ExampleKeylock
 
ExamplePaulAndMary - Class in de.learnlib.examples.dfa
This class implements a sad love story - DFA style.
ExamplePaulAndMary() - Constructor for class de.learnlib.examples.dfa.ExamplePaulAndMary
 
ExampleRandomDFA - Class in de.learnlib.examples.dfa
 
ExampleRandomDFA(int, int) - Constructor for class de.learnlib.examples.dfa.ExampleRandomDFA
 
ExampleRandomDFA(Random, int, int) - Constructor for class de.learnlib.examples.dfa.ExampleRandomDFA
 
ExampleRandomMealy<I,O> - Class in de.learnlib.examples.mealy
 
ExampleRandomMealy(Alphabet<I>, int, O...) - Constructor for class de.learnlib.examples.mealy.ExampleRandomMealy
 
ExampleRandomMealy(Random, Alphabet<I>, int, O...) - Constructor for class de.learnlib.examples.mealy.ExampleRandomMealy
 
ExampleShahbazGroz - Class in de.learnlib.examples.mealy
This class provides the example used in the paper ''Inferring Mealy Machines'' by Muzammil Shahbaz and Roland Groz (see Figure 1).
ExampleShahbazGroz() - Constructor for class de.learnlib.examples.mealy.ExampleShahbazGroz
 
ExampleStack - Class in de.learnlib.examples.mealy
This example encodes a small stack with a capacity of three elements and "push" and "pop" operations as Mealy machine.
ExampleStack() - Constructor for class de.learnlib.examples.mealy.ExampleStack
 
ExampleStack.Input - Enum in de.learnlib.examples.mealy
 
ExampleStack.Output - Enum in de.learnlib.examples.mealy
 
ExecutableInput<CO> - Interface in de.learnlib.mapper.api
An executable input is a concrete input produced by a data mapper and can be executed directly.
ExecutableInputSUL<I extends ExecutableInput<? extends O>,O> - Class in de.learnlib.mapper
A SUL that executes ExecutableInput symbols.
ExecutableInputSUL() - Constructor for class de.learnlib.mapper.ExecutableInputSUL
 
execute() - Method in class de.learnlib.drivers.reflect.ConcreteMethodInput
 
execute(C) - Method in interface de.learnlib.mapper.api.ContextExecutableInput
 
execute() - Method in interface de.learnlib.mapper.api.ExecutableInput
executes the input.
EXHAUSTIVE_BEST_EFFORT - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
EXHAUSTIVE_MIN_LENGTH - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
EXHAUSTIVE_MIN_SIZE - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
ExhaustiveReplacer - Class in de.learnlib.algorithms.adt.config.model.replacer
 
ExhaustiveReplacer(ADSCalculator) - Constructor for class de.learnlib.algorithms.adt.config.model.replacer.ExhaustiveReplacer
 
Experiment<A> - Class in de.learnlib.util
runs a learning experiment.
Experiment(LearningAlgorithm<? extends A, I, D>, EquivalenceOracle<? super A, I, D>, Alphabet<I>) - Constructor for class de.learnlib.util.Experiment
 
Experiment.DFAExperiment<I> - Class in de.learnlib.util
 
Experiment.MealyExperiment<I,O> - Class in de.learnlib.util
 
EXPONENTIAL_BWD - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
Analyzer that searches for a suffix index using exponential search.
EXPONENTIAL_FWD - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
 
exponentialSearchBwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.analyzers.AcexAnalysisAlgorithms
Search for a suffix index using an exponential search.
exponentialSearchFwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.analyzers.AcexAnalysisAlgorithms
 
exposeInternalHypothesis() - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
exposeInternalHypothesis() - Method in class de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
 
exposeInternalHypothesis() - Method in class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
exposeInternalHypothesis() - Method in class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
ExtDTNode() - Constructor for class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA.ExtDTNode
 
ExtDTNode(PrefixTTTLearnerDFA.ExtDTNode<I>, Boolean) - Constructor for class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA.ExtDTNode
 
EXTEND_BEST_EFFORT - Static variable in class de.learnlib.algorithms.adt.config.ADTExtenders
 
EXTEND_PARENT - Static variable in class de.learnlib.algorithms.adt.config.LeafSplitters
 
extendLeaf(ADTNode<S, I, O>, Word<I>, Word<O>, Word<O>) - Method in class de.learnlib.algorithms.adt.adt.ADT
Splitting a leaf node by extending the trace leading into the node to split.
ExtensibleLStarDFA<I> - Class in de.learnlib.algorithms.lstar.dfa
An implementation of Angluin's L* algorithm for learning DFAs, as described in the paper "Learning Regular Sets from Queries and Counterexamples".
ExtensibleLStarDFA(Alphabet<I>, MembershipOracle<I, Boolean>, List<Word<I>>, ObservationTableCEXHandler<? super I, ? super Boolean>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
Constructor.
ExtensibleLStarDFA(Alphabet<I>, MembershipOracle<I, Boolean>, List<Word<I>>, List<Word<I>>, ObservationTableCEXHandler<? super I, ? super Boolean>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
 
ExtensibleLStarMealy<I,O> - Class in de.learnlib.algorithms.lstar.mealy
 
ExtensibleLStarMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, List<Word<I>>, ObservationTableCEXHandler<? super I, ? super Word<O>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
ExtensibleLStarMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, List<Word<I>>, List<Word<I>>, ObservationTableCEXHandler<? super I, ? super Word<O>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
ExtensionResult<S,I,O> - Class in de.learnlib.algorithms.adt.model
A class that describes the possible result a ADTExtender can return.
ExtensionResult(ADTNode<S, I, O>) - Constructor for class de.learnlib.algorithms.adt.model.ExtensionResult
 
ExtensionResult(DefaultQuery<I, Word<O>>) - Constructor for class de.learnlib.algorithms.adt.model.ExtensionResult
 

F

fetchIncoming() - Method in class de.learnlib.algorithms.kv.StateInfo
 
fetchNonTreeIncoming(Collection<? super HTransition<I, O, SP, TP>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
fetchSystemState(boolean) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
The system state, may be null.
fetchSystemState(Word<I>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Returns a reuseable ReuseNode.NodeResult with system state or null if none such exists.
fillInStackTrace() - Method in exception de.learnlib.algorithms.adt.api.PartialTransitionAnalyzer.HypothesisModificationException
 
Filter<I,D> - Interface in de.learnlib.api.oracle
A filter is an oracle that can be used as the middle element in a chain of oracles.
FilterChain<I,D> - Class in de.learnlib.oracle.membership
A chain of oracles.
FilterChain(MembershipOracle<I, D>, Filter<I, D>...) - Constructor for class de.learnlib.oracle.membership.FilterChain
 
finalizeAny() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Chooses a block root, and finalizes the corresponding discriminator.
finalizeAny() - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
FIND_LINEAR - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
FIND_LINEAR - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds the single suffix found by the access sequence transformation in ascending linear order.
FIND_LINEAR - Static variable in class de.learnlib.counterexamples.LocalSuffixFinders
Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations in linear ascending order.
FIND_LINEAR_ALLSUFFIXES - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
FIND_LINEAR_ALLSUFFIXES - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds the suffix found by the access sequence transformation in ascending linear order, and all of its suffixes.
FIND_LINEAR_REVERSE - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
FIND_LINEAR_REVERSE - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds the single suffix found by the access sequence transformation in descending linear order.
FIND_LINEAR_REVERSE - Static variable in class de.learnlib.counterexamples.LocalSuffixFinders
Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations in linear descending order.
FIND_LINEAR_REVERSE_ALLSUFFIXES - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
FIND_LINEAR_REVERSE_ALLSUFFIXES - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds the suffix found by the access sequence transformation in descending linear order, and all of its suffixes.
findCounterExample(A, Collection<? extends I>) - Method in interface de.learnlib.api.oracle.EquivalenceOracle
Searches for a counterexample disproving the subjected hypothesis.
findCounterExample(DFA<?, I>, Collection<? extends I>) - Method in class de.learnlib.filter.cache.dfa.DFACacheConsistencyTest
 
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.filter.cache.mealy.MealyCacheConsistencyTest
 
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.AbstractTestWordEQOracle
 
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.DelegateEQOracle
 
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.EQOracleChain
 
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.mealy.RandomWalkEQOracle
 
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.mealy.SymbolEQOracleWrapper
 
findCounterExample(SuffixOutput<I, D>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
 
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SimpleEQOracle
 
findCounterExample(DFA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SimulatorEQOracle.DFASimulatorEQOracle
 
findCounterExample(UniversalDeterministicAutomaton<?, I, ?, ?, ?>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SimulatorEQOracle
 
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SimulatorEQOracle.MealySimulatorEQOracle
 
findCounterExample(OneSEVPA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.vpda.SimulatorEQOracle
 
findDistinguishingSuffix(Inconsistency<I>) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
findDistinguishingSuffix(Row<I>, Row<I>) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
findDistinguishingSuffixIndex(Inconsistency<I>) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
findDistinguishingSuffixIndex(Row<I>, Row<I>) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
findInconsistency() - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
findInconsistency() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
findLCA(ADTNode<S, I, O>, ADTNode<S, I, O>) - Method in class de.learnlib.algorithms.adt.adt.ADT
Return the lowest common ancestor for the given two nodes.
findLinear(Query<I, D>, AccessSequenceTransformer<I>, SuffixOutput<I, D>, MembershipOracle<I, D>, boolean) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Returns the suffix (plus all of its suffixes, if allSuffixes is true) found by the access sequence transformation in ascending linear order.
findLinear(Query<I, D>, AccessSequenceTransformer<I>, SuffixOutput<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.counterexamples.LocalSuffixFinders
Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations in linear ascending order.
findLinearReverse(Query<I, D>, AccessSequenceTransformer<I>, SuffixOutput<I, D>, MembershipOracle<I, D>, boolean) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Returns the suffix (plus all of its suffixes, if allSuffixes is true) found by the access sequence transformation in descending linear order.
findLinearReverse(Query<I, D>, AccessSequenceTransformer<I>, SuffixOutput<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.counterexamples.LocalSuffixFinders
Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations in linear descending order.
findMalerPnueli(Query<I, D>) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Returns all suffixes of the counterexample word as distinguishing suffixes, as suggested by Maler & Pnueli.
findMismatch(MealyMachine<?, I, ?, O>, Word<I>, Word<O>) - Static method in class de.learnlib.util.mealy.MealyUtil
 
findMismatch(Word<O>, Word<O>) - Static method in class de.learnlib.util.mealy.MealyUtil
 
findOutputInconsistency() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
findOutputInconsistency() - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
findRivestSchapire(Query<I, O>, AccessSequenceTransformer<I>, SuffixOutput<I, O>, MembershipOracle<I, O>, boolean) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Returns the suffix (plus all of its suffixes, if allSuffixes is true) found by the binary search access sequence transformation.
findRivestSchapire(Query<I, D>, AccessSequenceTransformer<I>, SuffixOutput<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.counterexamples.LocalSuffixFinders
Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations using a binary search, as proposed by Rivest & Schapire.
findSeparatingWord(S, S, Word<I>) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
Find a separating word for two hypothesis states, after applying given input sequence first.
findSeparatingWord(S, S) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
Find a separating word for two hypothesis states.
findShahbaz(Query<I, D>, AccessSequenceTransformer<I>) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Returns all suffixes of the counterexample word as distinguishing suffixes, after stripping a maximal one-letter extension of an access sequence, as suggested by Shahbaz.
findSuffixes(Query<RI, RD>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RD>, MembershipOracle<RI, RD>) - Method in interface de.learnlib.counterexamples.GlobalSuffixFinder
Finds a set of distinguishing suffixes which will allow to expose at least one additional state in the hypothesis.
findSuffixIndex(Query<RI, RO>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RO>, MembershipOracle<RI, RO>) - Method in class de.learnlib.counterexamples.AcexLocalSuffixFinder
 
findSuffixIndex(AcexAnalyzer, boolean, Query<RI, RO>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RO>, MembershipOracle<RI, RO>) - Static method in class de.learnlib.counterexamples.AcexLocalSuffixFinder
 
findSuffixIndex(Query<RI, RD>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RD>, MembershipOracle<RI, RD>) - Method in interface de.learnlib.counterexamples.LocalSuffixFinder
Finds, for a given counterexample, a "split index", such that: - the part of the query word before this index leads to the state being split - the part of the query word from this index on is a suffix capable of splitting this state.
findUnclosedRow() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
firstOutput - Variable in class de.learnlib.algorithms.adt.adt.ADT.LCAInfo
 
forEachSucc(Consumer<? super S>) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
fork() - Method in interface de.learnlib.api.SUL
Forks this SUL, if possible.
fork() - Method in class de.learnlib.driver.util.MealySimulatorSUL
 
fork() - Method in class de.learnlib.drivers.api.TestDriver
 
fork() - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
fork() - Method in class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
fork() - Method in class de.learnlib.filter.statistic.sul.SymbolCounterSUL
 
fork() - Method in interface de.learnlib.mapper.api.SULMapper
Forks this mapper, i.e., returns a mapper that behaves in exactly the same way as this mapper, but allows for being used independently of this mapper.
fork() - Method in class de.learnlib.mapper.ContextExecutableInputSUL
 
fork() - Method in class de.learnlib.mapper.ExecutableInputSUL
 
fork() - Method in class de.learnlib.mapper.MappedSUL
 
fromGlobalSuffixFinder(GlobalSuffixFinder<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
fromLocalFinder(LocalSuffixFinder<I, D>) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Transforms a LocalSuffixFinder into a global one.
fromLocalFinder(LocalSuffixFinder<I, D>, boolean) - Static method in class de.learnlib.counterexamples.GlobalSuffixFinders
Transforms a LocalSuffixFinder into a global one.
fromLocalSuffixFinder(LocalSuffixFinder<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
fromLocalSuffixFinder(LocalSuffixFinder<I, D>, boolean) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
fromString(String, Alphabet<I>, ObservationTableReader<I, D>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils
 
fullIntAbstraction(Alphabet<I>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
fullIntAbstraction(Alphabet<I>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
fullIntAbstraction(Alphabet<I>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTHypothesisMealy
 
FWD_ANALYZERS - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
 

G

generateSamples(Alphabet<I>, M) - Method in class de.learnlib.testsupport.it.learner.AbstractPassiveLearnerIT
 
generateSamplesInternal(Alphabet<I>, DFA<?, I>) - Method in class de.learnlib.testsupport.it.learner.AbstractDFAPassiveLearnerIT
Utility method, that may be overriden by subclasses.
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.AbstractTestWordEQOracle
Generate the stream of test words that should be used for the current equivalence check cycle.
generateTestWords(DFA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.DFACompleteExplorationEQOracle
 
generateTestWords(Output<I, D>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle
 
generateTestWords(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.MealyCompleteExplorationEQOracle
 
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
 
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.RandomWMethodEQOracle
 
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.RandomWordsEQOracle
 
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle
 
generateTestWords(DeterministicAcceptorTS<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.vpda.RandomWellMatchedWordsEQOracle
 
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.WMethodEQOracle
 
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.WpMethodEQOracle
 
GenericObservationTable<I,D> - Class in de.learnlib.datastructure.observationtable
Observation table class.
GenericObservationTable(Alphabet<I>) - Constructor for class de.learnlib.datastructure.observationtable.GenericObservationTable
Constructor.
get(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
get(boolean) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
getAccessSequence() - Method in class de.learnlib.algorithms.adt.automaton.ADTState
 
getAccessSequence() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getAccessSequence() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getAccessSequence() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
getAccessSequence() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
getAccessSequence() - Method in class de.learnlib.algorithms.ttt.base.TTTState
 
getAccessSequence() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getAccessSequence() - Method in interface de.learnlib.api.AccessSequenceProvider
Retrieves the access sequence of this object.
getAllAnalyzers() - Static method in class de.learnlib.acex.analyzers.AcexAnalyzers
 
getAllPrefixes() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Retrieves all prefixes (short and long) in the table.
getAllRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
getAlphabet() - Method in class de.learnlib.examples.DefaultLearningExample
 
getAlphabet() - Method in class de.learnlib.examples.DefaultPassiveLearningExample
 
getAlphabet() - Method in interface de.learnlib.examples.LearningExample
 
getAlphabet() - Method in interface de.learnlib.examples.PassiveLearningExample
 
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
 
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
 
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
getAnalyzers(AcexAnalyzers.Direction) - Static method in class de.learnlib.acex.analyzers.AcexAnalyzers
 
getAnySuccessor(TTTState<I, D>, I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
getAnySuccessor(TTTState<I, D>, Iterable<? extends I>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
getAnySuccessor(State<HypLoc<I>>, I) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
getAnyTarget(TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Retrieves the target state of a given transition.
getBackwardAnalyzers() - Static method in class de.learnlib.acex.analyzers.AcexAnalyzers
 
getBaseState() - Method in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA.PrefixTransformAcex
 
getBlueState() - Method in class de.learnlib.datastructure.pta.pta.RedBlueMerge
 
getBool(String, boolean) - Method in class de.learnlib.setting.LearnLibSettings
 
getBoolean(String) - Method in class de.learnlib.setting.LearnLibSettings
 
getCacheSize() - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
getCall() - Method in class de.learnlib.drivers.reflect.MethodInput
 
getCause() - Method in class de.learnlib.drivers.reflect.Error
 
getChild(O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getChildEntries() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getChildren() - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
getChildren() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getColor() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
getContent(int) - Method in class de.learnlib.algorithms.nlstar.Row
 
getContents() - Method in class de.learnlib.algorithms.nlstar.Row
 
getCount() - Method in class de.learnlib.filter.statistic.Counter
 
getCount() - Method in class de.learnlib.filter.statistic.oracle.CounterOracle
 
getCounter() - Method in class de.learnlib.filter.statistic.oracle.CounterOracle
 
getCounterExample() - Method in class de.learnlib.algorithms.adt.model.ExtensionResult
Return the found counterexample.
getCoveredRows(Row<I>) - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
getCoveredRows() - Method in class de.learnlib.algorithms.nlstar.Row
 
getCutoutNodes() - Method in class de.learnlib.algorithms.adt.model.ReplacementResult
The set of hypothesis states that are not covered on the proposed replacement.
getData() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getDefinitiveSuccessor(State<HypLoc<I>>, Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA
 
getDefinitiveSuccessor(State<HypLoc<I>>, Word<I>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
getDepth() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getDepth() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getDetails() - Method in interface de.learnlib.api.statistic.StatisticData
 
getDetails() - Method in class de.learnlib.filter.statistic.AbstractStatisticData
 
getDetails() - Method in class de.learnlib.filter.statistic.Counter
 
getDetails() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getDeterministicState(TTTState<I, D>, Word<I>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
getDeterminizedHypothesis() - Method in class de.learnlib.algorithms.nlstar.NLStarLearner
Retrieves a deterministic version of the hypothesis.
getDiscriminationTree() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
getDiscriminationTree() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Returns the discrimination tree.
getDiscriminator() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner.Splitter
 
getDiscriminator() - Method in class de.learnlib.algorithms.ttt.vpda.Splitter
 
getDiscriminator() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getDiscriminatorLength() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner.Splitter
 
getDT() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getDTLeaf() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getDTLeaf() - Method in class de.learnlib.algorithms.ttt.base.TTTState
Retrieves the discrimination tree leaf associated with this state.
getDTTarget() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getEdges() - Method in class de.learnlib.filter.reuse.tree.ReuseNode
Returns all outgoing ReuseEdges from this ReuseNode.
getEdgeWithInput(int) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
May be null.
getEnumValue(String, Class<E>, E) - Method in class de.learnlib.setting.LearnLibSettings
 
getEnumValue(String, Class<E>) - Method in class de.learnlib.setting.LearnLibSettings
 
getFinalHypothesis() - Method in class de.learnlib.util.Experiment
 
getFirstRow() - Method in class de.learnlib.datastructure.observationtable.Inconsistency
Retrieves the first (short prefix) row constituting the inconsistency.
getForwardAnalyzers() - Static method in class de.learnlib.acex.analyzers.AcexAnalyzers
 
getGlobalSuffixes() - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
getGlobalSuffixes() - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
getGlobalSuffixes() - Method in interface de.learnlib.api.algorithm.feature.GlobalSuffixFeature
Retrieves the global suffixes of this learner.
getHistogram() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getHypothesisDS() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
getHypothesisDS() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
getHypothesisDS() - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
getHypothesisModel() - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
getHypothesisModel() - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
getHypothesisModel() - Method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
 
getHypothesisModel() - Method in class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
 
getHypothesisModel() - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
getHypothesisModel() - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
getHypothesisModel() - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
getHypothesisModel() - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
getHypothesisModel() - Method in class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
getHypothesisModel() - Method in class de.learnlib.algorithms.nlstar.NLStarLearner
 
getHypothesisModel() - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
getHypothesisModel() - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
getHypothesisModel() - Method in interface de.learnlib.api.algorithm.LearningAlgorithm
Returns the current hypothesis model.
getHypothesisModel() - Method in class de.learnlib.util.nfa.NFALearnerWrapper
 
getHypothesisState() - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
getId() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getId() - Method in class de.learnlib.drivers.reflect.Error
 
getId() - Method in class de.learnlib.drivers.reflect.ReturnValue
 
getId() - Method in class de.learnlib.filter.reuse.tree.ReuseNode
 
getIncoming() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
getIncoming() - Method in class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
getIncoming(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData
Retrieves the list of incoming transitions for the respective label.
getIncomingTransitions() - Method in class de.learnlib.algorithms.adt.automaton.ADTState
 
getIndex() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
getIndex() - Method in class de.learnlib.datastructure.pta.pta.PTATransition
 
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
 
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
 
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerDFATest
 
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
 
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
getInitialLocation() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getInitialState() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getInitialState() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getInitialState() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getInput() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
getInput() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getInput() - Method in class de.learnlib.api.query.Query
Retrieves the input word of this query.
getInput() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge
The respective input on this edge, never null.
getInputAlphabet() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getInputAlphabet() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
getInputAlphabet() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Retrieves the input alphabet used in this observation table.
getInputAlphabet() - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
getInputs() - Method in class de.learnlib.drivers.reflect.SimplePOJOTestDriver
 
getInstance() - Static method in class de.learnlib.setting.LearnLibSettings
 
getInt(String, int) - Method in class de.learnlib.setting.LearnLibSettings
 
getInteger(String) - Method in class de.learnlib.setting.LearnLibSettings
 
getInternalSuccessor(HypLoc<I>, I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getInternalTransition(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
getInternalTransition(State<HypLoc<I>>, I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getInternalTransition(HypLoc<I>, I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getInternalTransition(TTTState<I, D>, I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
Retrieves the internal transition (i.e., the TTTTransition object) for a given state and input.
getInternalTransition(TTTState<I, D>, int) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getIntInitialState() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getIntSuccessor(T) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getIntSymbol() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypIntTrans
 
getLabel() - Method in interface de.learnlib.datastructure.observationtable.Row
Retrieves the label of this row.
getLabels() - Method in class de.learnlib.datastructure.discriminationtree.SplitData
 
getLCA(int) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA.KVAbstractCounterexample
 
getLCA(int) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy.KVAbstractCounterexample
 
getLeaf() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
getLearner(OR, Alphabet<I>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
getLearner(OR, Alphabet<I>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
getLearner() - Method in class de.learnlib.testsupport.it.learner.PassiveLearnerVariant
 
getLearnerName() - Method in class de.learnlib.testsupport.it.learner.PassiveLearnerVariant
 
getLearnerVariants() - Method in class de.learnlib.testsupport.it.learner.PassiveLearnerVariantListImpl
 
getLength() - Method in interface de.learnlib.acex.AbstractCounterexample
 
getLength() - Method in class de.learnlib.acex.impl.AbstractBaseCounterexample
Retrieves the length of the abstract counterexample.
getLength() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.ContextPair
 
getLocation(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getLocationId(HypLoc<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getLocations() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getLogger(Class<?>) - Static method in interface de.learnlib.api.logging.LearnLogger
Convenience method for easing the common practice of using a class name as the name for the logger.
getLogger(String) - Static method in interface de.learnlib.api.logging.LearnLogger
get an instance of a logger for name. assumes that there is no ordinary logger of the same name.
getLongPrefixes() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Retrieves the long prefixes in the table.
getLongPrefixRows() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
getLongPrefixRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
getLongPrefixRows() - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
getMappedInputs() - Method in class de.learnlib.mapper.StringMapper
 
getMaxDepth() - Method in class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
 
getMean() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getMedian() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getMethod() - Method in class de.learnlib.drivers.reflect.MethodInput
 
getName() - Method in class de.learnlib.acex.analyzers.AbstractNamedAcexAnalyzer
Retrieves the name of this analyzer.
getName() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
getName() - Method in interface de.learnlib.api.statistic.StatisticData
 
getName() - Method in class de.learnlib.filter.statistic.AbstractStatisticData
 
getName() - Method in class de.learnlib.testsupport.it.learner.PassiveLearnerVariant
 
getNewDiscriminator() - Method in class de.learnlib.algorithms.ttt.vpda.Splitter
 
getNewDiscriminatorLength() - Method in class de.learnlib.algorithms.ttt.vpda.Splitter
 
getNextElement() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
getNextElement() - Method in interface de.learnlib.datastructure.list.IntrusiveListElem
 
getNextElement() - Method in class de.learnlib.datastructure.list.IntrusiveListElemImpl
 
getNode(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getNodeId(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getNodes() - Method in interface de.learnlib.algorithms.adt.adt.ADTNode
 
getNodes() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getNodes() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis.GraphView
 
getNodes() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
getNodes() - Method in class de.learnlib.filter.reuse.tree.ReuseTree
 
getNodeToReplace() - Method in class de.learnlib.algorithms.adt.model.ReplacementResult
The ADT subtree (root-node) that should be replaced.
getNodeType() - Method in class de.learnlib.algorithms.adt.adt.ADTLeafNode
 
getNodeType() - Method in interface de.learnlib.algorithms.adt.adt.ADTNode
Returns the node type of the current node.
getNodeType() - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
getNodeType() - Method in class de.learnlib.algorithms.adt.adt.ADTSymbolNode
 
getNondetSuccessors(Collection<? extends TTTState<I, D>>, I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
getNonTreeTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
getNonTreeTarget() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getNumRedStates() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
getNumUpperRows() - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
getObservationTable() - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
getObservationTable() - Method in interface de.learnlib.datastructure.observationtable.ObservationTableFeature
 
getObservationTree() - Method in class de.learnlib.algorithms.adt.model.ObservationTree
 
getOracle(DFA<?, Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
 
getOracle(MealyMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
 
getOracle(M) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
getOracle(DFA<?, Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerDFATest
 
getOracle(MealyMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
 
getOracle(M) - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
getOrCreateState(int[]) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Retrieves the state reached by the given word (represented as an int array).
getOrCreateSuccessor(int, int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
getOutgoingEdges(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getOutgoingEdges(TTTState<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis.GraphView
 
getOutgoingEdges(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
getOutgoingEdges(ReuseNode<S, I, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
 
getOutgoingTransitions() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getOutput() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
getOutput() - Method in class de.learnlib.algorithms.ttt.mealy.TTTTransitionMealy
 
getOutput() - Method in class de.learnlib.api.query.DefaultQuery
 
getOutput() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge
The respective output on this edge.
getOutput(Word<I>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Returns the known output for the given query or null if not known.
getOutputForSuccessor(ADTNode<S, I, O>, ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
getParameterNames() - Method in class de.learnlib.drivers.reflect.MethodInput
 
getParameters(Map<String, Object>) - Method in class de.learnlib.drivers.reflect.MethodInput
 
getParameterType(String) - Method in class de.learnlib.drivers.reflect.MethodInput
 
getParent() - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
getParent() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getParentOutcome() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
getParentTransition() - Method in class de.learnlib.algorithms.ttt.base.TTTState
 
getPartialOutput(Word<I>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Returns the known output for "reflexive" edges in the tree for the given query.
getPrefix() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.ContextPair
 
getPrefix() - Method in class de.learnlib.algorithms.nlstar.Row
 
getPrefix() - Method in class de.learnlib.api.query.AbstractQuery
 
getPrefix() - Method in class de.learnlib.api.query.Query
Returns the prefix part of this query.
getPrevElement() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
getPriority() - Method in class de.learnlib.setting.sources.LearnLibLocalPropertiesAutomataLibSettingsSource
 
getPriority() - Method in class de.learnlib.setting.sources.LearnLibPropertiesAutomataLibSettingsSource
 
getProperty() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getProperty() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getProperty() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getProperty() - Method in class de.learnlib.algorithms.ttt.mealy.TTTTransitionMealy
 
getProperty(String, String) - Method in class de.learnlib.setting.LearnLibSettings
 
getProperty(String) - Method in class de.learnlib.setting.LearnLibSettings
 
getQueryCount() - Method in class de.learnlib.filter.statistic.oracle.JointCounterOracle
Retrieves the number of queries posed to this oracle.
getRedState(int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
getRedState() - Method in class de.learnlib.datastructure.pta.pta.RedBlueMerge
 
getRedStates() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
getReferenceAutomaton() - Method in class de.learnlib.examples.DefaultLearningExample
 
getReferenceAutomaton() - Method in interface de.learnlib.examples.LearningExample
 
getReplacement() - Method in class de.learnlib.algorithms.adt.model.ExtensionResult
Return the proposed replacement.
getReplacement() - Method in class de.learnlib.algorithms.adt.model.ReplacementResult
The ADT subtree (root-node) that forms the replacement.
getResults() - Static method in class de.learnlib.util.statistics.SimpleProfiler
get profiling results as string.
getReturnSuccessor(HypLoc<I>, I, int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getReturnTransition(int, int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
getReturnTransition(HypLoc<I>, I, int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getReturnTransition(HypLoc<I>, I, HypLoc<I>, I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
getReuseCapableOracle() - Method in class de.learnlib.filter.reuse.ReuseOracle
Returns the ReuseCapableOracle used by this instance.
getReuseTree() - Method in class de.learnlib.filter.reuse.ReuseOracle
Returns the ReuseTree used by this instance.
getRoot() - Method in class de.learnlib.algorithms.adt.adt.ADT
Returns the root node of this ADT.
getRoot() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
getRoot() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Retrieves the root of the PTA.
getRoot() - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Returns the root ReuseNode of the ReuseTree.
getRounds() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
getRounds() - Method in class de.learnlib.util.Experiment
 
getRow(int) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
getRow(int) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
getRow(Word<I>) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
getRow(int) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
getRow(Word<I>) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
getRow1() - Method in class de.learnlib.algorithms.nlstar.Inconsistency
 
getRow2() - Method in class de.learnlib.algorithms.nlstar.Inconsistency
 
getRowContentId() - Method in interface de.learnlib.datastructure.observationtable.Row
Retrieves the unique identifier associated with the content of this row (may be -1 if this row has not yet been initialized).
getRowId() - Method in interface de.learnlib.datastructure.observationtable.Row
Retrieves the unique row identifier associated with this row.
getRowSuccessor(Row<I>, I) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
getSamples() - Method in class de.learnlib.examples.DefaultPassiveLearningExample
 
getSamples() - Method in interface de.learnlib.examples.PassiveLearningExample
 
getSecondRow() - Method in class de.learnlib.datastructure.observationtable.Inconsistency
Retrieves the second (short prefix) row constituting the inconsistency.
getShortPrefixes() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Retrieves the short prefixes in the table.
getShortPrefixRows() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
getShortPrefixRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
getShortPrefixRows() - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
getSiftNode() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
getSize() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getSource() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
getSource() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getSource() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getSource() - Method in class de.learnlib.datastructure.pta.pta.PTATransition
 
getSource() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge
The source node from this edge.
getSplitData() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
getSplitterTrans(HypLoc<I>, Splitter<I>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
getStartOfADS(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
getState(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getState(int[]) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
Retrieves the state reached by the given word (represented as an int array).
getStateId(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getStateInfo(int) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA.KVAbstractCounterexample
 
getStateInfo(int) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy.KVAbstractCounterexample
 
getStateLabel() - Method in class de.learnlib.datastructure.discriminationtree.SplitData
Retrieves the state label associated with this split data.
getStateProperty(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getStateProperty(int) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
getStateProperty(int) - Method in class de.learnlib.algorithms.ttt.mealy.TTTHypothesisMealy
 
getStateProperty() - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
getStateProperty(S) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getStates() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getStates() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getStates() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getStateTransition(TTTState<I, D>, I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
getStatisticalData() - Method in interface de.learnlib.api.statistic.StatisticOracle
 
getStatisticalData() - Method in interface de.learnlib.api.statistic.StatisticSUL
 
getStatisticalData() - Method in class de.learnlib.filter.statistic.oracle.CounterOracle
 
getStatisticalData() - Method in class de.learnlib.filter.statistic.oracle.HistogramOracle
 
getStatisticalData() - Method in class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
getStatisticalData() - Method in class de.learnlib.filter.statistic.sul.SymbolCounterSUL
 
getSubsequentStepsOutput() - Method in class de.learnlib.mapper.api.SULMapper.MappedException
 
getSuccessor(ADTTransition<I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
getSuccessor(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getSuccessor(TTTState<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
getSuccessor(TTTTransitionMealy<I, O>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTHypothesisMealy
 
getSuccessor(int) - Method in interface de.learnlib.datastructure.observationtable.Row
Retrieves the successor row for this short label row and the given alphabet symbol (by index).
getSuccessor(int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
getSuccessor(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getSuccessor(S, Integer) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getSuffix() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.ContextPair
 
getSuffix() - Method in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA.PrefixTransformAcex
 
getSuffix(int) - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
getSuffix() - Method in class de.learnlib.api.query.AbstractQuery
 
getSuffix() - Method in class de.learnlib.api.query.Query
Returns the suffix part of this query.
getSuffix(int) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Retrieves a suffix by its (column) index.
getSuffixes() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
getSuffixes() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Retrieves all suffixes in the table.
getSuffixes() - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
getSuffixIdx() - Method in class de.learnlib.algorithms.nlstar.Inconsistency
 
getSum() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getSummary() - Method in interface de.learnlib.api.statistic.StatisticData
 
getSummary() - Method in class de.learnlib.filter.statistic.AbstractStatisticData
 
getSummary() - Method in class de.learnlib.filter.statistic.Counter
 
getSummary() - Method in class de.learnlib.filter.statistic.HistogramDataSet
 
getSymbol() - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
getSymbol() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getSymbol() - Method in class de.learnlib.datastructure.observationtable.Inconsistency
Retrieves the symbol for which's one-letter extensions the corresponding rows have different contents.
getSymbolCount() - Method in class de.learnlib.filter.statistic.oracle.JointCounterOracle
Retrieves the number of symbols in all queries posed to this oracle.
getSymbolIdx() - Method in class de.learnlib.algorithms.nlstar.Inconsistency
 
getTarget() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
getTarget(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getTarget(AbstractTTTHypothesis.TTTEdge<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis.GraphView
 
getTarget() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getTarget(Map.Entry<O, N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
getTarget() - Method in class de.learnlib.datastructure.pta.pta.PTATransition
 
getTarget() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge
The target node from this edge.
getTarget(ReuseEdge<S, I, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
 
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
 
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
 
getTarget(Alphabet<I>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerDFATest
 
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
 
getTarget(Alphabet<I>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
getTargetLocation() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
getTargetNode() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
getTargetNodeForInput(int) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
 
getTestName() - Method in class de.learnlib.testsupport.it.learner.PassiveLearnerVariantTICase
 
getTestName() - Method in class de.learnlib.testsupport.it.learner.VPDALearnerITCase
 
getThisStepOutput() - Method in class de.learnlib.mapper.api.SULMapper.MappedException
 
getTransition(HState<I, O, SP, TP>, I) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getTransition(int) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getTransition(int, int) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getTransition(TTTState<I, D>, I) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
getTransition(int) - Method in class de.learnlib.algorithms.ttt.base.TTTState
 
getTransition(S, Integer) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getTransitionOutput(ADTTransition<I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
getTransitionOutput(TTTTransitionMealy<I, O>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTHypothesisMealy
 
getTransitionProperty(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
getTransitionProperty(TTTState<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
getTransitionProperty(TTTTransitionMealy<I, O>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTHypothesisMealy
 
getTransitionProperty(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
getTransitions() - Method in class de.learnlib.algorithms.ttt.base.TTTState
 
getTransProperty(int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
getTreeIncoming() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
getTreeTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
getTreeTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
getTreeTarget() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
getUnit() - Method in interface de.learnlib.api.statistic.StatisticData
 
getUnit() - Method in class de.learnlib.filter.statistic.AbstractStatisticData
 
getUpperId() - Method in class de.learnlib.algorithms.nlstar.Row
 
getUpperPrimes() - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
getUpperRow(int) - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
getUpperRows() - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
getValue() - Method in class de.learnlib.drivers.reflect.ReturnValue
 
getVisualizationHelper() - Method in interface de.learnlib.algorithms.adt.adt.ADTNode
 
getVisualizationHelper() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
getVisualizationHelper() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis.GraphView
 
getVisualizationHelper() - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
getVisualizationHelper() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
getVisualizationHelper() - Method in class de.learnlib.filter.reuse.tree.ReuseTree
 
GlobalSuffixFeature<I> - Interface in de.learnlib.api.algorithm.feature
 
GlobalSuffixFinder<I,D> - Interface in de.learnlib.counterexamples
Interface for a global suffix finder.
GlobalSuffixFinders - Class in de.learnlib.counterexamples
A collection of suffix-based global counterexample analyzers.
GlobalSuffixLearner<M,I,D> - Interface in de.learnlib.api.algorithm.feature
Common interface for learning algorithms that use a global suffix set.
GlobalSuffixLearner.GlobalSuffixLearnerDFA<I> - Interface in de.learnlib.api.algorithm.feature
 
GlobalSuffixLearner.GlobalSuffixLearnerMealy<I,O> - Interface in de.learnlib.api.algorithm.feature
 
graphView() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
GraphView() - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
graphView() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
GraphView() - Constructor for class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis.GraphView
 
graphView(Alphabet<I>) - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 

H

handleClassicLStar(DefaultQuery<I, D>, MutableObservationTable<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
handleCounterexample(DefaultQuery<RI, RD>, MutableObservationTable<RI, RD>, SuffixOutput<RI, RD>, MembershipOracle<RI, RD>) - Method in interface de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandler
 
handleGlobalSuffixes(MutableObservationTable<I, D>, List<? extends Word<I>>, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
handleLocalSuffix(Query<I, D>, MutableObservationTable<I, D>, int, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
handleLocalSuffix(Query<I, D>, MutableObservationTable<I, D>, int, boolean, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
handleSuffix1by1(DefaultQuery<I, D>, MutableObservationTable<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
hashCode() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
hashCode() - Method in class de.learnlib.api.query.Query
 
hashCode() - Method in class de.learnlib.drivers.reflect.Error
 
hashCode() - Method in class de.learnlib.drivers.reflect.ReturnValue
 
hasStateLabel() - Method in class de.learnlib.datastructure.discriminationtree.SplitData
Checks whether there is a state label associated with this node, regardless of its value.
hasSystemStates() - Method in class de.learnlib.filter.reuse.tree.ReuseNode
 
hasUnlabeled() - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA.ExtDTNode
 
HistogramDataSet - Class in de.learnlib.filter.statistic
A simple histogram data set.
HistogramDataSet(String, String) - Constructor for class de.learnlib.filter.statistic.HistogramDataSet
 
HistogramOracle<I,D> - Class in de.learnlib.filter.statistic.oracle
Collects a histogram of passed query lengths.
HistogramOracle(MembershipOracle<I, D>, String) - Constructor for class de.learnlib.filter.statistic.oracle.HistogramOracle
 
HState<I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree.hypothesis
 
HState(int) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
HState(int, int, HTransition<I, O, SP, TP>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
HTransition<I,O,SP,TP> - Class in de.learnlib.algorithms.discriminationtree.hypothesis
 
HTransition(HState<I, O, SP, TP>, I, AbstractWordBasedDTNode<I, O, HState<I, O, SP, TP>>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
HypIntTrans<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
HypIntTrans(HypLoc<I>, I) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypIntTrans
 
HypLoc<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
HypLoc(VPDAlphabet<I>, int, boolean, AbstractHypTrans<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
HypLoc(VPDAlphabet<I>, int, boolean, Word<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
hypothesis - Variable in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
hypothesis - Variable in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
hypothesis - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
HYPOTHESIS_MODIFICATION_EXCEPTION - Static variable in interface de.learnlib.algorithms.adt.api.PartialTransitionAnalyzer
Global exception instance to avoid (unnecessary) re-instantiation.
HypothesisChangedException - Exception in de.learnlib.algorithms.ttt.base
Exception to indicate structural changes of the hypothesis during counterexample analysis, thus possibly invalidating the counterexample.
HypothesisChangedException() - Constructor for exception de.learnlib.algorithms.ttt.base.HypothesisChangedException
 
HypothesisModificationException() - Constructor for exception de.learnlib.algorithms.adt.api.PartialTransitionAnalyzer.HypothesisModificationException
 
hypothesisOutput() - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
hypothesisOutput() - Method in class de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
 
hypothesisOutput() - Method in class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
hypothesisOutput() - Method in class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
HypRetTrans<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
HypRetTrans(HypLoc<I>, I, I, HypLoc<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypRetTrans
 

I

id - Variable in class de.learnlib.algorithms.kv.StateInfo
 
id - Variable in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
ignoreAndContinue(AO) - Static method in class de.learnlib.mapper.api.SULMapper.MappedException
 
IN_LOVES - Static variable in class de.learnlib.examples.dfa.ExamplePaulAndMary
 
IN_MARY - Static variable in class de.learnlib.examples.dfa.ExamplePaulAndMary
 
IN_PAUL - Static variable in class de.learnlib.examples.dfa.ExamplePaulAndMary
 
IncomingList<I,D> - Class in de.learnlib.algorithms.ttt.base
The head of the intrusive linked list for storing incoming transitions of a DT node.
IncomingList() - Constructor for class de.learnlib.algorithms.ttt.base.IncomingList
 
Inconsistency<I> - Class in de.learnlib.algorithms.nlstar
An (RFSA) inconsistency in an ObservationTable.
Inconsistency(Row<I>, Row<I>, int, int) - Constructor for class de.learnlib.algorithms.nlstar.Inconsistency
Constructor.
Inconsistency<I> - Class in de.learnlib.datastructure.observationtable
A description of an inconsistency in an GenericObservationTable.
Inconsistency(Row<I>, Row<I>, I) - Constructor for class de.learnlib.datastructure.observationtable.Inconsistency
 
incorporateCounterExample(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
Incorporates the information provided by a counterexample into the observation data structure.
increment(long) - Method in class de.learnlib.filter.statistic.Counter
 
increment() - Method in class de.learnlib.filter.statistic.Counter
 
IncrementalWMethodEQOracle<A extends net.automatalib.automata.UniversalDeterministicAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
 
IncrementalWMethodEQOracle(MembershipOracle<I, D>, Alphabet<I>) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
 
IncrementalWMethodEQOracle(MembershipOracle<I, D>, Alphabet<I>, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
 
IncrementalWMethodEQOracle(MembershipOracle<I, D>, Alphabet<I>, int, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
 
IncrementalWMethodEQOracle.DFAIncrementalWMethodEQOracle<I> - Class in de.learnlib.oracle.equivalence
 
IncrementalWMethodEQOracle.MealyIncrementalWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence
 
info(String) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(String, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(String, Object, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(String, Object...) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(String, Throwable) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(Marker, String) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(Marker, String, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(Marker, String, Object, Object) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(Marker, String, Object...) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
info(Marker, String, Throwable) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
init(Consumer<? super PTATransition<S>>) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
initialize(S) - Method in class de.learnlib.algorithms.adt.adt.ADT
Initializes the ADT with a single leaf node.
initialize(S) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
Initialize the observation tree with initial hypothesis state.
initialize(Collection<S>, Function<S, Word<I>>, Function<Word<I>, Word<O>>) - Method in class de.learnlib.algorithms.adt.model.ObservationTree
Extended initialization method, that allows to initialize the observation tree with several hypothesis states.
initialize() - Method in class de.learnlib.algorithms.adt.util.SQOOTBridge
 
initialize() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
initialize() - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
initialize() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
Initializes the automaton, adding an initial state.
initialize(List<Word<I>>, List<Word<I>>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
initialize(List<Word<I>>, List<Word<I>>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
Initializes an observation table using a specified set of suffixes.
initializeLocation(HypLoc<I>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
initializePTA(BlueFringePTA<SP, TP>) - Method in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
Initializes an empty PTA with sample data.
initializePTA(BlueFringePTA<Boolean, Void>) - Method in class de.learnlib.algorithms.rpni.BlueFringeRPNIDFA
 
initializePTA(BlueFringePTA<Void, O>) - Method in class de.learnlib.algorithms.rpni.BlueFringeRPNIMealy
 
initializeState(HState<I, D, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
initializeState(TTTState<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Initializes a state.
initializeState(TTTState<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
initialPrefixes() - Static method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
 
initialPrefixes - Variable in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
initialPrefixes() - Method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
initialPrefixes() - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
initialSplitters() - Static method in class de.learnlib.algorithms.dhc.mealy.MealyDHC.BuilderDefaults
 
initialSuffixes() - Static method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
 
initialSuffixes - Variable in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
initialSuffixes() - Method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
initialSuffixes() - Method in class de.learnlib.algorithms.lstar.AbstractLStar
Returns the list of initial suffixes which are used to initialize the table.
initialSuffixes() - Method in class de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
 
initialSuffixes() - Method in class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
initialSuffixes() - Method in class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
InnerNodesIterator<N extends AbstractDTNode<?,?,?,N>> - Class in de.learnlib.datastructure.discriminationtree.iterators
Iterator that traverses all inner nodes (no leaves) of a subtree of a given discrimination tree node.
InnerNodesIterator(N) - Constructor for class de.learnlib.datastructure.discriminationtree.iterators.InnerNodesIterator
 
insert(E) - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
Inserts an element into the deque, and returns the one that had to be evicted in case of a capacity violation.
insert(Word<I>, ReuseCapableOracle.QueryResult<S, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Inserts the given Word with ReuseCapableOracle.QueryResult into the tree starting from the root node of the tree.
insert(Word<I>, ReuseNode<S, I, O>, ReuseCapableOracle.QueryResult<S, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
Inserts the given Word (suffix of a membership query) with ReuseCapableOracle.QueryResult (suffix output) into the tree starting from the ReuseNode (contains prefix with prefix output) in the tree.
insertAllIncoming(IncomingList<I, D>) - Method in class de.learnlib.algorithms.ttt.base.IncomingList
 
insertAllIncoming(TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.IncomingList
 
insertBlock(AbstractBaseDTNode<I, D>) - Method in class de.learnlib.algorithms.ttt.base.BlockList
Inserts a block into the list.
insertIncoming(TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.IncomingList
 
INSTANCE - Static variable in class de.learnlib.drivers.reflect.Unobserved
 
INTEGER_WORD_WIDTH - Static variable in class de.learnlib.algorithms.kv.StateInfo
 
internalHyp - Variable in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
IntrusiveList<T extends IntrusiveListElem<T>> - Class in de.learnlib.datastructure.list
The head of the intrusive linked list for storing incoming transitions of a DT node.
IntrusiveList() - Constructor for class de.learnlib.datastructure.list.IntrusiveList
 
IntrusiveListElem<T> - Interface in de.learnlib.datastructure.list
Interface for objects that may occur in a IntrusiveList, either as a value element or the head of the list (which represents the list itself, but does not carry any value).
IntrusiveListElemImpl<T> - Class in de.learnlib.datastructure.list
An element in an IntrusiveList.
IntrusiveListElemImpl() - Constructor for class de.learnlib.datastructure.list.IntrusiveListElemImpl
 
InvalidRowException - Exception in de.learnlib.datastructure.observationtable
 
InvalidRowException() - Constructor for exception de.learnlib.datastructure.observationtable.InvalidRowException
 
InvalidRowException(String) - Constructor for exception de.learnlib.datastructure.observationtable.InvalidRowException
 
isAccepting() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
isAccepting(TTTState<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
isAccepting() - Method in class de.learnlib.algorithms.ttt.dfa.TTTStateDFA
 
isAcceptingLocation(HypLoc<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
isAccessSequence(Word<I>) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
isAccessSequence(Word<I>) - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
isAccessSequence(Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
isAccessSequence(Word<I>) - Method in interface de.learnlib.api.AccessSequenceTransformer
 
isAccessSequence(Word<I>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
isAccessSequence(Word<I>) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
isBlockRoot() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
isBlue() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
isBounded() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
Retrieves whether capacity restriction is in effect.
isClosed() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
isConsistent() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
isCopy - Variable in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
isCounterExample() - Method in class de.learnlib.algorithms.adt.model.ExtensionResult
Utility method, indicating the search for an extension has revealed a counterexample.
isCounterexample(DefaultQuery<I, D>, SuffixOutput<I, D>) - Static method in class de.learnlib.util.MQUtil
 
isDebugEnabled() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isDebugEnabled(Marker) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isEmpty() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
isEmpty() - Method in class de.learnlib.datastructure.list.IntrusiveList
 
isEmpty() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
 
isErrorEnabled() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isErrorEnabled(Marker) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isInfoEnabled() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isInfoEnabled(Marker) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isInitialConsistencyCheckRequired() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
isInitialConsistencyCheckRequired() - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
 
isInitialized() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
Checks whether this automaton was initialized (i.e., AbstractTTTHypothesis.initialize() has been called).
isInitialized() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
isInitialized() - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
Checks whether this observation table has been initialized yet (i.e., contains any rows).
isInner() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
isInternal() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
isInternal() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypIntTrans
 
isInternal() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypRetTrans
 
isLeaf() - Method in interface de.learnlib.algorithms.adt.adt.ADTNode
 
isLeaf() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
isLeafNode(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
isMarked(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData
Checks whether the corresponding node is marked with the given label.
isNew() - Method in class de.learnlib.algorithms.nlstar.Row
 
isNormalized() - Method in class de.learnlib.api.query.DefaultQuery
Checks if the query is normalized, i.e., if all the information is stored in the suffix part of the counterexample.
isPrime() - Method in class de.learnlib.algorithms.nlstar.Row
 
isRed() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
isReplacement() - Method in class de.learnlib.algorithms.adt.model.ExtensionResult
Utility method, indicating if the search for an extending replacement was a success.
isResetNode(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
isRoot() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
isRoot() - Method in class de.learnlib.algorithms.ttt.base.TTTState
Checks whether this state is the initial state (i.e., the root of the spanning tree).
isRoot() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
isShortPrefixRow() - Method in class de.learnlib.algorithms.nlstar.Row
 
isShortPrefixRow() - Method in interface de.learnlib.datastructure.observationtable.Row
Retrieves whether this row is a short or a long prefix row.
isSpanningTreeEdge() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
isSymbolNode(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
 
isTemp() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
isTraceEnabled() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isTraceEnabled(Marker) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isTransitionDefined(S, I) - Method in interface de.learnlib.algorithms.adt.api.PartialTransitionAnalyzer
Check whether the transition in question is defined or not.
isTransitionDefined(ADTState<I, O>, I) - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
isTree() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
isTree() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
isTree() - Method in class de.learnlib.algorithms.ttt.base.TTTTransition
 
isWarnEnabled() - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isWarnEnabled(Marker) - Method in class de.learnlib.api.logging.Slf4jDelegator
 
isWhite() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
iterator() - Method in class de.learnlib.datastructure.list.IntrusiveList
 
iterator() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
iterator() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
 

J

JointCounterOracle<I,D> - Class in de.learnlib.filter.statistic.oracle
A MembershipOracle that counts both the number of queries, as well as the total number of symbols occurring in all those queries.
JointCounterOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.filter.statistic.oracle.JointCounterOracle
 
JointCounterOracle.DFAJointCounterOracle<I> - Class in de.learnlib.filter.statistic.oracle
 
JointCounterOracle.MealyJointCounterOracle<I,O> - Class in de.learnlib.filter.statistic.oracle
 

K

KearnsVaziraniDFA<I> - Class in de.learnlib.algorithms.kv.dfa
The Kearns/Vazirani algorithm for learning DFA, as described in the book "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani.
KearnsVaziraniDFA(Alphabet<I>, MembershipOracle<I, Boolean>, boolean, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
Constructor.
KearnsVaziraniDFA.KVAbstractCounterexample - Class in de.learnlib.algorithms.kv.dfa
 
KearnsVaziraniMealy<I,O> - Class in de.learnlib.algorithms.kv.mealy
An adaption of the Kearns/Vazirani algorithm for Mealy machines.
KearnsVaziraniMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, boolean, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
KearnsVaziraniMealy.KVAbstractCounterexample - Class in de.learnlib.algorithms.kv.mealy
 
keySet() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
KVAbstractCounterexample(Word<I>, boolean, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA.KVAbstractCounterexample
 
KVAbstractCounterexample(Word<I>, Word<O>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy.KVAbstractCounterexample
 

L

lcaInfo(N, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
LCAInfo<O,N> - Class in de.learnlib.datastructure.discriminationtree.model
DAO for aggregating information about the least common ancestor of two subtrees in a discrimination tree.
LCAInfo(N, O, O) - Constructor for class de.learnlib.datastructure.discriminationtree.model.LCAInfo
 
LeafSplitter - Interface in de.learnlib.algorithms.adt.api
Interface for configuration objects that specify how to split the ADT leaf of a hypothesis state that needs refinement.
leafSplitter() - Static method in class de.learnlib.algorithms.adt.learner.ADTLearner.BuilderDefaults
 
LeafSplitters - Class in de.learnlib.algorithms.adt.config
A collection of default LeafSplitter configurations.
LearnerVariantList<M,I,D> - Interface in de.learnlib.testsupport.it.learner
A write-only list to store multiple variants of a learning algorithm.
LearnerVariantList.DFALearnerVariantList<I> - Interface in de.learnlib.testsupport.it.learner
 
LearnerVariantList.MealyLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.learner
 
LearnerVariantList.MealySymLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.learner
 
LearnerVariantList.OneSEVPALearnerVariantList<I> - Interface in de.learnlib.testsupport.it.learner
 
LearningAlgorithm<M,I,D> - Interface in de.learnlib.api.algorithm
Basic interface for a model inference algorithm.
LearningAlgorithm.DFALearner<I> - Interface in de.learnlib.api.algorithm
 
LearningAlgorithm.MealyLearner<I,O> - Interface in de.learnlib.api.algorithm
 
LearningCache<A,I,O> - Interface in de.learnlib.filter.cache
Interface for a cache used in automata learning.
LearningCache.DFALearningCache<I> - Interface in de.learnlib.filter.cache
Specialization of the LearningCache interface for DFA learning.
LearningCache.MealyLearningCache<I,O> - Interface in de.learnlib.filter.cache
Specialization of the LearningCache interface for Mealy machine learning.
LearningCacheOracle<A,I,D> - Interface in de.learnlib.filter.cache
A learning cache that also serves as a membership oracle.
LearningCacheOracle.DFALearningCacheOracle<I> - Interface in de.learnlib.filter.cache
Specialization of the LearningCacheOracle interface for DFA learning.
LearningCacheOracle.MealyLearningCacheOracle<I,O> - Interface in de.learnlib.filter.cache
Specialization of the LearningCacheOracle interface for Mealy machine learning.
LearningExample<I,D,A extends net.automatalib.automata.UniversalAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.SuffixOutput<I,D>> - Interface in de.learnlib.examples
 
LearningExample.DFALearningExample<I> - Interface in de.learnlib.examples
 
LearningExample.MealyLearningExample<I,O> - Interface in de.learnlib.examples
 
LearningExamples - Class in de.learnlib.examples
 
LearnLibLocalPropertiesAutomataLibSettingsSource - Class in de.learnlib.setting.sources
 
LearnLibLocalPropertiesAutomataLibSettingsSource() - Constructor for class de.learnlib.setting.sources.LearnLibLocalPropertiesAutomataLibSettingsSource
 
LearnLibLocalPropertiesSource - Class in de.learnlib.setting.sources
 
LearnLibLocalPropertiesSource() - Constructor for class de.learnlib.setting.sources.LearnLibLocalPropertiesSource
 
LearnLibPropertiesAutomataLibSettingsSource - Class in de.learnlib.setting.sources
 
LearnLibPropertiesAutomataLibSettingsSource() - Constructor for class de.learnlib.setting.sources.LearnLibPropertiesAutomataLibSettingsSource
 
LearnLibPropertiesSource - Class in de.learnlib.setting.sources
 
LearnLibPropertiesSource() - Constructor for class de.learnlib.setting.sources.LearnLibPropertiesSource
 
LearnLibSettings - Class in de.learnlib.setting
 
LearnLibSettingsSource - Interface in de.learnlib.api.setting
 
LearnLibSystemPropertiesSource - Class in de.learnlib.setting.sources
 
LearnLibSystemPropertiesSource() - Constructor for class de.learnlib.setting.sources.LearnLibSystemPropertiesSource
 
LearnLogger - Interface in de.learnlib.api.logging
LearnLib specific logger.
leastCommonAncestor(N, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
leastCommonAncestor - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo
 
LeavesIterator<N extends AbstractDTNode<?,?,?,N>> - Class in de.learnlib.datastructure.discriminationtree.iterators
Iterator that traverses all leaves (no inner nodes) of a subtree of a given discrimination tree node.
LeavesIterator(N) - Constructor for class de.learnlib.datastructure.discriminationtree.iterators.LeavesIterator
 
LEVELED_BEST_EFFORT - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
LEVELED_MIN_LENGTH - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
LEVELED_MIN_SIZE - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
LevelOrderReplacer - Class in de.learnlib.algorithms.adt.config.model.replacer
 
LevelOrderReplacer(ADSCalculator) - Constructor for class de.learnlib.algorithms.adt.config.model.replacer.LevelOrderReplacer
 
lexCompareTo(S) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
LINEAR_BWD - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
Analyzer that linearly scans through the abstract counterexample in descending order.
LINEAR_FWD - Static variable in class de.learnlib.acex.analyzers.AcexAnalyzers
Analyzer that linearly scans through the abstract counterexample in ascending order.
linearSearchBwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.analyzers.AcexAnalysisAlgorithms
Scan linearly through the counterexample in descending order.
linearSearchFwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.analyzers.AcexAnalysisAlgorithms
Scan linearly through the counterexample in ascending order.
link(DTNode<I>, HypLoc<I>) - Static method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
link(AbstractBaseDTNode<I, D>, TTTState<I, D>) - Static method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Establish the connection between a node in the discrimination tree and a state of the hypothesis.
loadLearnLibV2Benchmark(String) - Static method in class de.learnlib.examples.dfa.DFABenchmarks
 
loadPeterson2() - Static method in class de.learnlib.examples.dfa.DFABenchmarks
 
loadPeterson3() - Static method in class de.learnlib.examples.dfa.DFABenchmarks
 
loadPots2() - Static method in class de.learnlib.examples.dfa.DFABenchmarks
 
loadPots3() - Static method in class de.learnlib.examples.dfa.DFABenchmarks
 
LocalSuffixFinder<I,D> - Interface in de.learnlib.counterexamples
Suffix-based local counterexample analyzer.
LocalSuffixFinders - Class in de.learnlib.counterexamples
A collection of suffix-based local counterexample analyzers.
location - Variable in class de.learnlib.algorithms.ttt.vpda.Splitter
 
logConfig(String) - Method in interface de.learnlib.api.logging.LearnLogger
logs setup details.
logCounterexample(String) - Method in interface de.learnlib.api.logging.LearnLogger
log counterexample.
logDataStructure(Object) - Method in interface de.learnlib.api.logging.LearnLogger
log a data structure.
logEvent(String) - Method in interface de.learnlib.api.logging.LearnLogger
logs an event.
logModel(Object) - Method in interface de.learnlib.api.logging.LearnLogger
log a model.
logPhase(String) - Method in interface de.learnlib.api.logging.LearnLogger
logs a learning phase at level INFO.
logProfilingInfo(StatisticData) - Method in interface de.learnlib.api.logging.LearnLogger
log a piece of profiling info.
logQuery(String) - Method in interface de.learnlib.api.logging.LearnLogger
logs a learning query at level INFO.
logResults() - Static method in class de.learnlib.util.statistics.SimpleProfiler
log results in category PROFILING.
logStatistic(StatisticData) - Method in interface de.learnlib.api.logging.LearnLogger
log statistic info.
logSystem(String) - Method in interface de.learnlib.api.logging.LearnLogger
logs a system message at level INFO.
longestASPrefix(Word<I>) - Method in interface de.learnlib.api.AccessSequenceTransformer
 
LStarDFAUtil - Class in de.learnlib.algorithms.lstar.dfa
 
LStarMealyUtil - Class in de.learnlib.algorithms.lstar.mealy
 

M

main(String[]) - Static method in class de.learnlib.examples.example1.Example
 
main(String[]) - Static method in class de.learnlib.examples.example2.Example
 
main(String[]) - Static method in class de.learnlib.examples.example3.Example
 
makeBlue() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
makeRed(int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
makeTree(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
makeTree(HypLoc<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
makeTree(AbstractHypTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
makeTree(TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
makeTree(TTTTransition<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA
 
makeUpper(List<Row<I>>) - Method in class de.learnlib.algorithms.nlstar.ObservationTable
 
MALER_PNUELI - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
MALER_PNUELI - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds all suffixes of the input word, as suggested by Maler & Pnueli.
MalerPnueliDFA<I> - Class in de.learnlib.algorithms.malerpnueli
 
MalerPnueliDFA(Alphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.malerpnueli.MalerPnueliDFA
 
MalerPnueliDFA(Alphabet<I>, MembershipOracle<I, Boolean>, List<Word<I>>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithms.malerpnueli.MalerPnueliDFA
 
MalerPnueliMealy<I,O> - Class in de.learnlib.algorithms.malerpnueli
 
MalerPnueliMealy(Alphabet<I>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithms.malerpnueli.MalerPnueliMealy
 
MalerPnueliMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, List<Word<I>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithms.malerpnueli.MalerPnueliMealy
 
mapInput(AI) - Method in interface de.learnlib.api.Mapper
Method that maps an abstract input to a corresponding concrete input.
mapInput(MethodInput) - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
mapInput(String) - Method in class de.learnlib.mapper.StringMapper
 
mapOutput(CO) - Method in interface de.learnlib.api.Mapper
Method that maps a concrete output to a corresponding abstract output.
mapOutput(Object) - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
mapOutput(Object) - Method in class de.learnlib.mapper.StringMapper
 
MappedOracle<AI,AO,CI,CO> - Class in de.learnlib.oracle.membership
A utility class that allows to lift a membership oracle of concrete input/output symbols to a membership oracle of abstract input/output symbols, given a corresponding mapper.
MappedOracle(QueryAnswerer<CI, CO>, Mapper.AsynchronousMapper<AI, AO, CI, CO>) - Constructor for class de.learnlib.oracle.membership.MappedOracle
 
MappedSUL<AI,AO,CI,CO> - Class in de.learnlib.mapper
 
MappedSUL(SULMapper<? super AI, ? extends AO, ? extends CI, ? super CO>, SUL<? super CI, ? extends CO>) - Constructor for class de.learnlib.mapper.MappedSUL
 
Mapper<AI,AO,CI,CO> - Interface in de.learnlib.api
A mapper that lifts a SUL or MembershipOracle from an "abstract" to a "concrete" level.
Mapper.AsynchronousMapper<AI,AO,CI,CO> - Interface in de.learnlib.api
A mapper refinement to establish the contract of a asynchronous, query-wise translation of input words.
Mapper.SynchronousMapper<AI,AO,CI,CO> - Interface in de.learnlib.api
A mapper refinement to establish the contract of a synchronized, symbol-wise translation of input words for reactive systems.
Mappers - Class in de.learnlib.mapper
Utility methods for manipulating mappers.
mapTransition(TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
mapTransition(TTTTransition<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
mapTransition(TTTTransition<I, Word<O>>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTHypothesisMealy
 
mapUnwrappedException(RuntimeException) - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
mapUnwrappedException(RuntimeException) - Method in interface de.learnlib.mapper.api.SULMapper
Maps an unwrapped RuntimeException to an abstract output symbol, or rethrows it if it is unmappable.
mapWrappedException(SULException) - Method in interface de.learnlib.mapper.api.SULMapper
Maps a wrapped SULException to an abstract output symbol, or rethrows it if it is unmappable.
mark(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData
Mark this node with the given label.
MAX_SIZE - Static variable in class de.learnlib.examples.example2.Example.BoundedStringQueue
 
MealyCacheConsistencyTest<I,O> - Class in de.learnlib.filter.cache.mealy
An EquivalenceOracle that tests an hypothesis for consistency with the contents of a MealyCacheOracle.
MealyCacheConsistencyTest(IncrementalMealyBuilder<I, O>, Lock) - Constructor for class de.learnlib.filter.cache.mealy.MealyCacheConsistencyTest
Constructor.
MealyCacheOracle<I,O> - Class in de.learnlib.filter.cache.mealy
Mealy cache.
MealyCacheOracle(Alphabet<I>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.filter.cache.mealy.MealyCacheOracle
Deprecated.
since 2014-01-23. Use MealyCacheOracle.createDAGCacheOracle(Alphabet, MembershipOracle) to reproduce old behavior.
MealyCacheOracle(Alphabet<I>, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.filter.cache.mealy.MealyCacheOracle
Deprecated.
MealyCacheOracle(IncrementalMealyBuilder<I, O>, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
MealyCacheOracle(IncrementalMealyBuilder<I, O>, Lock, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
MealyCaches - Class in de.learnlib.filter.cache.mealy
 
MealyCompleteExplorationEQOracle(MembershipOracle<I, Word<O>>, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.MealyCompleteExplorationEQOracle
 
MealyCompleteExplorationEQOracle(MembershipOracle<I, Word<O>>, int, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.MealyCompleteExplorationEQOracle
 
MealyCompleteExplorationEQOracle(MembershipOracle<I, Word<O>>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle.MealyCompleteExplorationEQOracle
 
MealyCounterOracle(MembershipOracle<I, Word<O>>, String) - Constructor for class de.learnlib.filter.statistic.oracle.CounterOracle.MealyCounterOracle
 
MealyDHC<I,O> - Class in de.learnlib.algorithms.dhc.mealy
 
MealyDHC(Alphabet<I>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithms.dhc.mealy.MealyDHC
Constructor, provided for backwards compatibility reasons.
MealyDHC(Alphabet<I>, MembershipOracle<I, Word<O>>, GlobalSuffixFinder<? super I, ? super Word<O>>, Collection<? extends Word<I>>) - Constructor for class de.learnlib.algorithms.dhc.mealy.MealyDHC
Constructor.
MealyDHC.BuilderDefaults - Class in de.learnlib.algorithms.dhc.mealy
 
MealyEQOracleChain(EquivalenceOracle<? super MealyMachine<?, I, ?, O>, I, Word<O>>...) - Constructor for class de.learnlib.oracle.equivalence.EQOracleChain.MealyEQOracleChain
 
MealyEQOracleChain(List<? extends EquivalenceOracle<? super MealyMachine<?, I, ?, O>, I, Word<O>>>) - Constructor for class de.learnlib.oracle.equivalence.EQOracleChain.MealyEQOracleChain
 
MealyExperiment(LearningAlgorithm<? extends MealyMachine<?, I, ?, O>, I, Word<O>>, EquivalenceOracle<? super MealyMachine<?, I, ?, O>, I, Word<O>>, Alphabet<I>) - Constructor for class de.learnlib.util.Experiment.MealyExperiment
 
MealyIncrementalWMethodEQOracle(MembershipOracle<I, Word<O>>, Alphabet<I>) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle.MealyIncrementalWMethodEQOracle
 
MealyIncrementalWMethodEQOracle(MembershipOracle<I, Word<O>>, Alphabet<I>, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle.MealyIncrementalWMethodEQOracle
 
MealyIncrementalWMethodEQOracle(MembershipOracle<I, Word<O>>, Alphabet<I>, int, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle.MealyIncrementalWMethodEQOracle
 
MealyJointCounterOracle(MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.filter.statistic.oracle.JointCounterOracle.MealyJointCounterOracle
 
MealyLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.learner.PassiveLearnerVariantListImpl.MealyLearnerVariantListImpl
 
MealyOutInconsPrefixTransformAcex<I,O> - Class in de.learnlib.counterexamples.acex
 
MealyOutInconsPrefixTransformAcex(Word<I>, MembershipOracle<I, Word<O>>, Function<Word<I>, Word<I>>) - Constructor for class de.learnlib.counterexamples.acex.MealyOutInconsPrefixTransformAcex
 
MealyRandomWMethodEQOracle(MembershipOracle<I, Word<O>>, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.MealyRandomWMethodEQOracle
 
MealyRandomWMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.MealyRandomWMethodEQOracle
 
MealyRandomWMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.MealyRandomWMethodEQOracle
 
MealyRandomWMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle.MealyRandomWMethodEQOracle
 
MealyRandomWordsEQOracle(MembershipOracle<I, Word<O>>, int, int, int, Random) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle.MealyRandomWordsEQOracle
 
MealyRandomWordsEQOracle(MembershipOracle<I, Word<O>>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle.MealyRandomWordsEQOracle
 
MealyRandomWpMethodEQOracle(MembershipOracle<I, Word<O>>, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.MealyRandomWpMethodEQOracle
 
MealyRandomWpMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.MealyRandomWpMethodEQOracle
 
MealyRandomWpMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.MealyRandomWpMethodEQOracle
 
MealyRandomWpMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle.MealyRandomWpMethodEQOracle
 
MealySimulatorEQOracle(MealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.oracle.equivalence.SimulatorEQOracle.MealySimulatorEQOracle
 
MealySimulatorOracle(MealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.oracle.membership.SimulatorOracle.MealySimulatorOracle
 
MealySimulatorSUL<I,O> - Class in de.learnlib.driver.util
A SUL that implements steps by stepping through a MealyMachine.
MealySimulatorSUL(MealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.driver.util.MealySimulatorSUL
Constructor, using null as the output for undefined transitions.
MealySimulatorSUL(MealyMachine<?, I, ?, O>, O) - Constructor for class de.learnlib.driver.util.MealySimulatorSUL
Constructor.
MealyUtil - Class in de.learnlib.util.mealy
Utility class helping to unify various approaches to actively learning Mealy machines.
MealyWMethodEQOracle(MembershipOracle<I, Word<O>>, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle.MealyWMethodEQOracle
 
MealyWMethodEQOracle(MembershipOracle<I, Word<O>>, int, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle.MealyWMethodEQOracle
 
MealyWpMethodEQOracle(MembershipOracle<I, Word<O>>, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle.MealyWpMethodEQOracle
 
MealyWpMethodEQOracle(MembershipOracle<I, Word<O>>, int, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle.MealyWpMethodEQOracle
 
MembershipOracle<I,D> - Interface in de.learnlib.api.oracle
Membership oracle interface.
MembershipOracle.DFAMembershipOracle<I> - Interface in de.learnlib.api.oracle
 
MembershipOracle.MealyMembershipOracle<I,O> - Interface in de.learnlib.api.oracle
 
merge() - Method in class de.learnlib.datastructure.pta.pta.RedBlueMerge
 
mergeADS(ADTNode<S, I, O>, ADTNode<S, I, O>) - Static method in class de.learnlib.algorithms.adt.util.ADTUtil
Tries to merge the given (single trace) ADSs (which only contains one leaf) into the given parent ADSs.
mergeStateProperty(SP) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
mergeTransitionProperty(int, int, TP) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
MethodInput - Class in de.learnlib.drivers.reflect
abstract method input, may have abstract parameters.
MethodInput(String, Method, Map<String, Integer>, Object[]) - Constructor for class de.learnlib.drivers.reflect.MethodInput
 
MIN_BATCH_SIZE - Static variable in class de.learnlib.oracle.parallelism.StaticParallelOracle
 
MinLengthCalculator - Class in de.learnlib.algorithms.adt.config.model.calculator
 
MinLengthCalculator() - Constructor for class de.learnlib.algorithms.adt.config.model.calculator.MinLengthCalculator
 
MinSizeCalculator - Class in de.learnlib.algorithms.adt.config.model.calculator
 
MinSizeCalculator() - Constructor for class de.learnlib.algorithms.adt.config.model.calculator.MinSizeCalculator
 
MQUtil - Class in de.learnlib.util
 
MultiDTNode<I,O,D> - Class in de.learnlib.datastructure.discriminationtree
Generic n-ary discrimination tree node specialization.
MultiDTNode(D) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTNode
 
MultiDTNode(MultiDTNode<I, O, D>, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTNode
 
MultiDTree<I,O,D> - Class in de.learnlib.datastructure.discriminationtree
Generic n-ary discrimination tree specialization.
MultiDTree(MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTree
 
MultiDTree(D, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.MultiDTree
 
MutableObservationTable<I,D> - Interface in de.learnlib.datastructure.observationtable
 

N

name() - Method in class de.learnlib.drivers.reflect.MethodInput
 
needsConsistencyCheck() - Method in interface de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandler
 
needsSifting() - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
negative - Variable in class de.learnlib.algorithms.rpni.BlueFringeRPNIDFA
 
NEVER_REPLACE - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
newDynamicParallelOracle(MembershipOracle<I, D>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders
 
newDynamicParallelOracle(Supplier<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders
 
newState(int, TTTTransition<I, D>, int) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
newState(int, TTTTransition<I, Boolean>, int) - Method in class de.learnlib.algorithms.ttt.dfa.TTTHypothesisDFA
 
newState - Variable in class de.learnlib.filter.reuse.ReuseCapableOracle.QueryResult
 
newStaticParallelOracle(MembershipOracle<I, D>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders
 
newStaticParallelOracle(Supplier<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders
 
newStaticParallelOracle(MembershipOracle<I, D>, MembershipOracle<I, D>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders
 
newStaticParallelOracle(Collection<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders
 
next - Variable in class de.learnlib.datastructure.list.IntrusiveListElemImpl
 
nextElement - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
NFALearner<I> - Interface in de.learnlib.api.algorithm
 
NFALearnerWrapper<I> - Class in de.learnlib.util.nfa
 
NFALearnerWrapper(Alphabet<I>, LearningAlgorithm<? extends NFA<?, I>, I, Boolean>) - Constructor for class de.learnlib.util.nfa.NFALearnerWrapper
 
NLStarLearner<I> - Class in de.learnlib.algorithms.nlstar
The NL* algorithm, as described in the paper "Angluin-Style Learning of NFA" by B.
NLStarLearner(Alphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.nlstar.NLStarLearner
Constructor.
NO_DISTINGUISHING_SUFFIX - Static variable in interface de.learnlib.datastructure.observationtable.ObservationTable
NO_MISMATCH - Static variable in class de.learnlib.util.mealy.MealyUtil
 
nodeIDs() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis.GraphView
 
nodeNew - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult
 
nodeOld - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult
 
NodeResult(ReuseNode<S, I, O>, S, int) - Constructor for class de.learnlib.filter.reuse.tree.ReuseNode.NodeResult
 
NodesIterator<N extends AbstractDTNode<?,?,?,N>> - Class in de.learnlib.datastructure.discriminationtree.iterators
Iterator that traverses all nodes of a subtree of a given discrimination tree node.
NodesIterator(N) - Constructor for class de.learnlib.datastructure.discriminationtree.iterators.NodesIterator
 
nonTreeTarget() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
NOP - Static variable in class de.learnlib.algorithms.adt.config.ADTExtenders
 
normalize(MembershipOracle<I, D>, DefaultQuery<I, D>) - Static method in class de.learnlib.util.MQUtil
 
NoSuchRowException - Exception in de.learnlib.datastructure.observationtable
 
NoSuchRowException() - Constructor for exception de.learnlib.datastructure.observationtable.NoSuchRowException
 
NoSuchRowException(String) - Constructor for exception de.learnlib.datastructure.observationtable.NoSuchRowException
 
NUM_INSTANCES - Static variable in class de.learnlib.oracle.parallelism.StaticParallelOracle
 
numberOfDistinctRows() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
numberOfDistinctRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Returns the number of distinct (regarding row values) rows in this observation table.
numberOfDistinctRows() - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
numberOfLongPrefixRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
numberOfRows() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
numberOfRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
Returns the total number of rows in this observation table.
numberOfShortPrefixRows() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
numberOfSuffixes() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
numInputs() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 

O

ObservationTable<I> - Class in de.learnlib.algorithms.nlstar
The observation table implementation for the NL* algorithm.
ObservationTable(Alphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.nlstar.ObservationTable
 
ObservationTable<I,D> - Interface in de.learnlib.datastructure.observationtable
An observation table is a common method for learning algorithms to store organize their observations.
ObservationTableASCIIWriter<I,D> - Class in de.learnlib.datastructure.observationtable.writer
 
ObservationTableASCIIWriter(Function<? super Word<? extends I>, ? extends String>, Function<? super D, ? extends String>, boolean) - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
 
ObservationTableASCIIWriter() - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
 
ObservationTableASCIIWriter(boolean) - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
 
ObservationTableCEXHandler<I,D> - Interface in de.learnlib.algorithms.lstar.ce
 
ObservationTableCEXHandlers - Class in de.learnlib.algorithms.lstar.ce
 
ObservationTableFeature<I,D> - Interface in de.learnlib.datastructure.observationtable
 
ObservationTableHTMLWriter<I,D> - Class in de.learnlib.datastructure.observationtable.writer
Writes an observation table as a HTML table.
ObservationTableHTMLWriter(Function<? super Word<? extends I>, ? extends String>, Function<? super D, ? extends String>) - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableHTMLWriter
 
ObservationTableReader<I,D> - Interface in de.learnlib.datastructure.observationtable.reader
Reads an ObservationTable from a string source.
ObservationTableWriter<I,D> - Interface in de.learnlib.datastructure.observationtable.writer
 
ObservationTree<S,I,O> - Class in de.learnlib.algorithms.adt.model
A class, that stores observations of the system under learning in a tree-like structure.
ObservationTree(Alphabet<I>) - Constructor for class de.learnlib.algorithms.adt.model.ObservationTree
 
offer(String) - Method in class de.learnlib.examples.example2.Example.BoundedStringQueue
 
OneSEVPAHypothesis<I> - Class in de.learnlib.algorithms.discriminationtree.hypothesis.vpda
 
OneSEVPAHypothesis(VPDAlphabet<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
openTransitions - Variable in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
openTransitions - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Open transitions, i.e., transitions that possibly point to a non-leaf node in the discrimination tree.
oracle - Variable in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
oracle - Variable in class de.learnlib.algorithms.lstar.AbstractLStar
 
oracle - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
oracle - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
order - Variable in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
 
otherSymbol - Variable in class de.learnlib.algorithms.ttt.vpda.Splitter
 
OTLearner<M,I,D> - Interface in de.learnlib.datastructure.observationtable
 
OTLearner.OTLearnerDFA<I> - Interface in de.learnlib.datastructure.observationtable
 
OTLearner.OTLearnerMealy<I,O> - Interface in de.learnlib.datastructure.observationtable
 
OTUtils - Class in de.learnlib.datastructure.observationtable
 
OUT_COFFEE - Static variable in class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
OUT_ERROR - Static variable in class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
OUT_OK - Static variable in class de.learnlib.examples.mealy.ExampleCoffeeMachine
 
OutInconsPrefixTransformAcex<I,D> - Class in de.learnlib.counterexamples.acex
An abstract counterexample for output inconsistencies, based on prefix transformations.
OutInconsPrefixTransformAcex(Word<I>, MembershipOracle<I, D>, Function<Word<I>, Word<I>>) - Constructor for class de.learnlib.counterexamples.acex.OutInconsPrefixTransformAcex
 
OutInconsPrefixTransformAcex(Word<I>, int, MembershipOracle<I, D>, Function<Word<I>, Word<I>>) - Constructor for class de.learnlib.counterexamples.acex.OutInconsPrefixTransformAcex
 
output - Variable in class de.learnlib.filter.reuse.ReuseCapableOracle.QueryResult
 
output(MembershipOracle<I, D>, Word<I>) - Static method in class de.learnlib.util.MQUtil
Deprecated.
output(MembershipOracle<I, D>, Word<I>, Word<I>) - Static method in class de.learnlib.util.MQUtil
Deprecated.
OutputInconsistency<I,D> - Class in de.learnlib.algorithms.ttt.base
Class for representing output inconsistencies within the TTT algorithm.
OutputInconsistency(TTTState<I, D>, Word<I>, D) - Constructor for class de.learnlib.algorithms.ttt.base.OutputInconsistency
 
outputToString - Variable in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 
outputToString(D) - Method in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 

P

parallel - Variable in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
 
PARALLEL_THRESHOLD - Static variable in class de.learnlib.util.MQUtil
 
ParallelOracle<I,D> - Interface in de.learnlib.oracle.parallelism
Basic interface for MembershipOracles that can process queries in parallel.
ParallelOracle.PoolPolicy - Enum in de.learnlib.oracle.parallelism
The policy for dealing with thread pools.
ParallelOracleBuilders - Class in de.learnlib.oracle.parallelism
Builders for (static and dynamic) parallel oracles.
ParallelOracleInterruptedException - Exception in de.learnlib.oracle.parallelism
Exception that is thrown if a parallel oracle is interrupted during execution.
ParallelOracleInterruptedException(Throwable) - Constructor for exception de.learnlib.oracle.parallelism.ParallelOracleInterruptedException
 
parent - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
parent - Variable in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
parentInput - Variable in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
parentOutcome - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
PartialTransitionAnalyzer<S,I> - Interface in de.learnlib.algorithms.adt.api
During the refinement process of the hypothesis, ADS/Ts may be computed on partially defined automata.
PartialTransitionAnalyzer.HypothesisModificationException - Exception in de.learnlib.algorithms.adt.api
A helper exception to interrupt computations on an invalid hypothesis.
pass(SULException) - Static method in class de.learnlib.mapper.api.SULMapper.MappedException
 
PassiveLearnerVariant<M,I,D> - Class in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantList<M,I,D> - Interface in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantList.DFALearnerVariantList<I> - Interface in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantList.MealyLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantList.MealySymLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantList.OneSEVPALearnerVariantList<I> - Interface in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantListImpl<M,I,D> - Class in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.learner.PassiveLearnerVariantListImpl
 
PassiveLearnerVariantListImpl.DFAPassiveLearnerVariantListImpl<I> - Class in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantListImpl.MealyLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.learner
 
PassiveLearnerVariantTICase<I,D,M extends net.automatalib.automata.concepts.SuffixOutput<I,D>> - Class in de.learnlib.testsupport.it.learner
Default test case for a passive learning integration test.
PassiveLearningAlgorithm<M,I,D> - Interface in de.learnlib.api.algorithm
 
PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends net.automatalib.automata.fsa.FiniteStateAcceptor<?,I>,I> - Interface in de.learnlib.api.algorithm
Basic interface for passive learning algorithms that infer finite-state acceptors (DFAs or NFAs).
PassiveLearningAlgorithm.PassiveDFALearner<I> - Interface in de.learnlib.api.algorithm
Basic interface for passive learning algorithms that infer DFAs.
PassiveLearningAlgorithm.PassiveMealyLearner<I,O> - Interface in de.learnlib.api.algorithm
Basic interface for passive learning algorithms that infer Mealy machines.
PassiveLearningAlgorithm.PassiveNFALearner<I> - Interface in de.learnlib.api.algorithm
Basic interface for passive learning algorithms that infer NFAs.
PassiveLearningExample<I,D> - Interface in de.learnlib.examples
 
PassiveLearningExample.DFAPassiveLearningExample<I> - Interface in de.learnlib.examples
 
PassiveLearningExample.MealyPassiveLearningExample<I,O> - Interface in de.learnlib.examples
 
peek() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
Retrieves, but does not remove the top-most element, i.e., the element that is either the top of the stack or the head of the queue, depending on the configured BoundedDeque.AccessPolicy.
poll() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.TransList
 
poll() - Method in class de.learnlib.algorithms.ttt.base.IncomingList
 
poll() - Method in class de.learnlib.examples.example2.Example.BoundedStringQueue
 
POOL_POLICY - Static variable in class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
POOL_POLICY - Static variable in class de.learnlib.oracle.parallelism.StaticParallelOracle
 
POOL_SIZE - Static variable in class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
positive - Variable in class de.learnlib.algorithms.rpni.BlueFringeRPNIDFA
 
post() - Method in interface de.learnlib.api.Mapper
Method that is invoked after all translation steps on a word are performed.
post() - Method in interface de.learnlib.api.SUL
shut down SUL.
post() - Method in class de.learnlib.driver.util.MealySimulatorSUL
 
post() - Method in class de.learnlib.drivers.api.TestDriver
 
post() - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
post() - Method in class de.learnlib.filter.cache.sul.SULCache
 
post() - Method in class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
post() - Method in class de.learnlib.filter.statistic.sul.SymbolCounterSUL
 
post() - Method in class de.learnlib.mapper.AbstractContextExecutableInputSUL
 
post() - Method in class de.learnlib.mapper.ExecutableInputSUL
 
post() - Method in class de.learnlib.mapper.MappedSUL
 
postFinalizeDiscriminator(AbstractBaseDTNode<I, D>, AbstractTTTLearner.Splitter<I, D>) - Method in interface de.learnlib.algorithms.ttt.base.TTTEventListener
 
postSplit(TTTTransition<I, D>, Word<I>) - Method in interface de.learnlib.algorithms.ttt.base.TTTEventListener
 
pre() - Method in interface de.learnlib.api.Mapper
Method that is invoked before any translation steps on a word are performed.
pre() - Method in interface de.learnlib.api.SUL
setup SUL.
pre() - Method in class de.learnlib.driver.util.MealySimulatorSUL
 
pre() - Method in class de.learnlib.drivers.api.TestDriver
 
pre() - Method in class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
pre() - Method in class de.learnlib.filter.cache.sul.SULCache
 
pre() - Method in class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
pre() - Method in class de.learnlib.filter.statistic.sul.SymbolCounterSUL
 
pre() - Method in class de.learnlib.mapper.AbstractContextExecutableInputSUL
 
pre() - Method in class de.learnlib.mapper.ExecutableInputSUL
 
pre() - Method in class de.learnlib.mapper.MappedSUL
 
predictSuccOutcome(TTTTransition<I, D>, AbstractBaseDTNode<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
predictSuccOutcome(TTTTransition<I, Boolean>, AbstractBaseDTNode<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
predictSuccOutcome(TTTTransition<I, Word<O>>, AbstractBaseDTNode<I, Word<O>>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
preFinalizeDiscriminator(AbstractBaseDTNode<I, D>, AbstractTTTLearner.Splitter<I, D>) - Method in interface de.learnlib.algorithms.ttt.base.TTTEventListener
 
prefix - Variable in class de.learnlib.api.query.AbstractQuery
 
prefixLength - Variable in class de.learnlib.filter.reuse.tree.ReuseNode.NodeResult
The prefix length for a membership query that leads to the ReuseNode in the reuse tree.
PrefixTransformAcex(Word<I>, ContextPair<I>) - Constructor for class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA.PrefixTransformAcex
 
PrefixTTTLearnerDFA<I> - Class in de.learnlib.algorithms.ttt.dfa
 
PrefixTTTLearnerDFA(Alphabet<I>, MembershipOracle<I, Boolean>, AcexAnalyzer) - Constructor for class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA
 
PrefixTTTLearnerDFA.ExtDTNode<I> - Class in de.learnlib.algorithms.ttt.dfa
 
preSplit(TTTTransition<I, D>, Word<I>) - Method in interface de.learnlib.algorithms.ttt.base.TTTEventListener
 
prev - Variable in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
prevElement - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
prevIncoming - Variable in class de.learnlib.algorithms.ttt.base.TTTTransition
 
ProcessingOrder - Interface in de.learnlib.datastructure.pta.bluefringe
Interface for entities that specify the order in which blue states are processed (i.e., considered for merges).
processQueries(Collection<? extends Query<I, D>>) - Method in interface de.learnlib.api.oracle.MembershipOracle
Processes the specified collection of queries.
processQueries(Collection<? extends Query<I, D>>) - Method in interface de.learnlib.api.oracle.SingleQueryOracle
 
processQueries(Collection<? extends Query<I, Word<O>>>) - Method in interface de.learnlib.api.oracle.SymbolQueryOracle
 
processQueries(Collection<? extends Query<I, Boolean>>) - Method in class de.learnlib.filter.cache.dfa.DFACacheOracle
 
processQueries(Collection<? extends Query<I, Boolean>>) - Method in class de.learnlib.filter.cache.dfa.DFAHashCacheOracle
 
processQueries(Collection<? extends Query<I, Word<O>>>) - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.filter.statistic.oracle.CounterOracle
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.filter.statistic.oracle.HistogramOracle
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.filter.statistic.oracle.JointCounterOracle
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.oracle.membership.FilterChain
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.oracle.membership.SimulatorOracle
 
processQueries(Collection<? extends Query<I, Word<O>>>) - Method in class de.learnlib.oracle.membership.SULOracle
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.oracle.parallelism.StaticParallelOracle
 
processQuery(Query<I, D>) - Method in interface de.learnlib.api.oracle.MembershipOracle
Processes a single query.
processQuery(Query<I, D>) - Method in interface de.learnlib.api.oracle.SingleQueryOracle
 
processQuery(Word<I>) - Method in interface de.learnlib.filter.reuse.ReuseCapableOracle
An implementation needs to provide a fresh system state, process the whole query and return a ReuseCapableOracle.QueryResult with the resulting system state (ReuseCapableOracle.QueryResult.newState) and the SUL output to that query (ReuseCapableOracle.QueryResult.output).
promote(S, Consumer<? super PTATransition<S>>) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
property - Variable in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
PropertyConflictException - Exception in de.learnlib.datastructure.pta.pta
Exception to signal that two (state or transition) properties in a PTA cannot be merged since they are incompatible.
PropertyConflictException(Object, Object) - Constructor for exception de.learnlib.datastructure.pta.pta.PropertyConflictException
 
ptaToModel(BlueFringePTA<SP, TP>) - Method in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
Transforms the final PTA into a model.
ptaToModel(BlueFringePTA<Boolean, Void>) - Method in class de.learnlib.algorithms.rpni.BlueFringeRPNIDFA
 
ptaToModel(BlueFringePTA<Void, O>) - Method in class de.learnlib.algorithms.rpni.BlueFringeRPNIMealy
 
PTATransition<S extends AbstractBasePTAState<?,?,S>> - Class in de.learnlib.datastructure.pta.pta
 
PTATransition(S, int) - Constructor for class de.learnlib.datastructure.pta.pta.PTATransition
 
put(Boolean, V) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
put(boolean, V) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
putAll(Map<? extends Boolean, ? extends V>) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 

Q

query(I) - Method in class de.learnlib.algorithms.adt.util.SQOOTBridge
 
query(AccessSequenceProvider<I>, ContextPair<I>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
query(Word<I>, Word<I>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Performs a membership query.
query(AccessSequenceProvider<I>, Word<I>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Performs a membership query, using an access sequence as its prefix.
query(I) - Method in interface de.learnlib.api.oracle.SymbolQueryOracle
Query the system under learning for a new symbol.
Query<I,D> - Class in de.learnlib.api.query
A query is the basic form of interaction between a learner and a (membership) oracle, or teacher.
Query() - Constructor for class de.learnlib.api.query.Query
 
query(I) - Method in class de.learnlib.filter.cache.mealy.SymbolQueryCache
 
query(I) - Method in class de.learnlib.oracle.membership.SULSymbolQueryOracle
 
query(MembershipOracle<I, D>, Word<I>, Word<I>) - Static method in class de.learnlib.util.MQUtil
 
query(MembershipOracle<I, D>, Word<I>) - Static method in class de.learnlib.util.MQUtil
 
QueryAnswerer<I,D> - Interface in de.learnlib.api.oracle
 
QueryResult(Word<O>, S) - Constructor for class de.learnlib.filter.reuse.ReuseCapableOracle.QueryResult
 

R

RANDOM_SEED - Static variable in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
RANDOM_SEED - Static variable in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
RandomWalkEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.mealy
Performs a random walk over the hypothesis.
RandomWalkEQOracle(SUL<I, O>, double, long, boolean, Random) - Constructor for class de.learnlib.oracle.equivalence.mealy.RandomWalkEQOracle
 
RandomWalkEQOracle(SUL<I, O>, double, long, Random) - Constructor for class de.learnlib.oracle.equivalence.mealy.RandomWalkEQOracle
 
RandomWellMatchedWordsEQOracle<I> - Class in de.learnlib.oracle.equivalence.vpda
An equivalence oracle based on the generation of random (well-matched) words.
RandomWellMatchedWordsEQOracle(Random, MembershipOracle<I, Boolean>, VPDAlphabet<I>, double, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.vpda.RandomWellMatchedWordsEQOracle
 
RandomWellMatchedWordsEQOracle(Random, MembershipOracle<I, Boolean>, VPDAlphabet<I>, double, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.vpda.RandomWellMatchedWordsEQOracle
 
RandomWMethodEQOracle<A extends net.automatalib.automata.UniversalDeterministicAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
Implements an equivalence test by applying the W-method test on the given hypothesis automaton.
RandomWMethodEQOracle(MembershipOracle<I, D>, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle
Constructor for an unbounded testing oracle.
RandomWMethodEQOracle(MembershipOracle<I, D>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle
Constructor for a bounded testing oracle.
RandomWMethodEQOracle(MembershipOracle<I, D>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle
Constructor for a bounded testing oracle with a specific batch size.
RandomWMethodEQOracle(MembershipOracle<I, D>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWMethodEQOracle
Constructor for a bounded testing oracle with a specific batch size.
RandomWMethodEQOracle.DFARandomWMethodEQOracle<I> - Class in de.learnlib.oracle.equivalence
 
RandomWMethodEQOracle.MealyRandomWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence
 
randomWords(MembershipOracle<I, D>, int, int, int) - Static method in class de.learnlib.oracle.equivalence.EquivalenceQueries
 
RandomWordsEQOracle<A extends net.automatalib.automata.concepts.Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
 
RandomWordsEQOracle(MembershipOracle<I, D>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle
 
RandomWordsEQOracle(MembershipOracle<I, D>, int, int, int, Random) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle
 
RandomWordsEQOracle(MembershipOracle<I, D>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWordsEQOracle
 
RandomWordsEQOracle.DFARandomWordsEQOracle<I> - Class in de.learnlib.oracle.equivalence
 
RandomWordsEQOracle.MealyRandomWordsEQOracle<I,O> - Class in de.learnlib.oracle.equivalence
 
RandomWpMethodEQOracle<A extends net.automatalib.automata.UniversalDeterministicAutomaton<?,I,?,?,?> & net.automatalib.automata.concepts.Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
Implements an equivalence test by applying the Wp-method test on the given hypothesis automaton, as described in "Test Selection Based on Finite State Models" by S.
RandomWpMethodEQOracle(MembershipOracle<I, D>, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle
Constructor for an unbounded testing oracle.
RandomWpMethodEQOracle(MembershipOracle<I, D>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle
Constructor for a bounded testing oracle.
RandomWpMethodEQOracle(MembershipOracle<I, D>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle
Constructor for a bounded testing oracle with specific batch size.
RandomWpMethodEQOracle(MembershipOracle<I, D>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.RandomWpMethodEQOracle
Constructor for a bounded testing oracle with specific batch size.
RandomWpMethodEQOracle.DFARandomWpMethodEQOracle<I> - Class in de.learnlib.oracle.equivalence
 
RandomWpMethodEQOracle.MealyRandomWpMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence
 
read(String, Alphabet<I>) - Method in interface de.learnlib.datastructure.observationtable.reader.ObservationTableReader
Reads the string representation of an observation table and returns an implementation of ObservationTable which allows access to short and long prefixes as well as suffixes.
read(String, Alphabet<I>) - Method in class de.learnlib.datastructure.observationtable.reader.SuffixASCIIReader
 
RedBlueMerge<SP,TP,S extends AbstractBlueFringePTAState<SP,TP,S>> - Class in de.learnlib.datastructure.pta.pta
 
RedBlueMerge(AbstractBlueFringePTA<SP, TP, S>, S, S) - Constructor for class de.learnlib.datastructure.pta.pta.RedBlueMerge
 
redStates - Variable in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
redStatesStream() - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTA
 
reduceCounterExample(MealyMachine<?, I, ?, O>, DefaultQuery<I, Word<O>>) - Static method in class de.learnlib.util.mealy.MealyUtil
 
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.nlstar.NLStarLearner
 
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA
 
refineHypothesis(DefaultQuery<I, D>) - Method in interface de.learnlib.api.algorithm.LearningAlgorithm
Triggers a refinement of the model by providing a counterexample.
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.util.nfa.NFALearnerWrapper
 
refineHypothesisInternal(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
refineHypothesisInternal(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
refineHypothesisInternal(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
refineHypothesisSingle(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.discriminationtree.vpda.DTLearnerVPDA
 
refineHypothesisSingle(DefaultQuery<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
Performs a single refinement of the hypothesis, i.e., without repeated counterexample evaluation.
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA
 
refineHypothesisSingle(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithms.ttt.vpda.TTTLearnerVPDA
 
remove(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
removeEventListener(TTTEventListener<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
removeFromBlockList() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
removeFromList() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
removeFromUnlabeledList() - Method in class de.learnlib.algorithms.ttt.dfa.PrefixTTTLearnerDFA.ExtDTNode
 
repeatedCounterexampleEvaluation() - Static method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner.BuilderDefaults
 
repeatedCounterexampleEvaluation() - Static method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA.BuilderDefaults
 
repeatOutput(AO) - Static method in class de.learnlib.mapper.api.SULMapper.MappedException
 
repeatOutput(AO, AO) - Static method in class de.learnlib.mapper.api.SULMapper.MappedException
 
replaceChildren(Map<O, N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
ReplacementResult<S,I,O> - Class in de.learnlib.algorithms.adt.model
A class that describes the possible result a SubtreeReplacer can return.
ReplacementResult(ADTNode<S, I, O>, ADTNode<S, I, O>) - Constructor for class de.learnlib.algorithms.adt.model.ReplacementResult
 
ReplacementResult(ADTNode<S, I, O>, ADTNode<S, I, O>, Set<S>) - Constructor for class de.learnlib.algorithms.adt.model.ReplacementResult
 
replaceNode(ADTNode<S, I, O>, ADTNode<S, I, O>) - Method in class de.learnlib.algorithms.adt.adt.ADT
Replaces an existing node in the tree with a new one and updates the references of parent/child nodes accordingly.
reset() - Method in class de.learnlib.algorithms.adt.util.SQOOTBridge
 
reset() - Method in interface de.learnlib.api.oracle.SymbolQueryOracle
Reset the system under learning.
reset() - Method in class de.learnlib.filter.cache.mealy.SymbolQueryCache
 
reset() - Method in class de.learnlib.oracle.membership.SULSymbolQueryOracle
 
reset() - Static method in class de.learnlib.util.statistics.SimpleProfiler
reset internal data.
ResetCounterSUL<I,O> - Class in de.learnlib.filter.statistic.sul
 
ResetCounterSUL(String, SUL<I, O>) - Constructor for class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
ResumableLearner<T extends Serializable> - Interface in de.learnlib.api.algorithm.feature
Learning algorithms that implement this interface can be "suspended" by means of exposing a serializable state object that contains all data that is necessary to resume learning process from a previous state.
resume(ADTLearnerState<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
resume(MealyDHCState<I, O>) - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
resume(DTLearnerState<I, D, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
resume(DTLearnerState<I, Boolean, Boolean, Void>) - Method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
 
resume(DTLearnerState<I, Word<O>, Void, O>) - Method in class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
 
resume(KearnsVaziraniDFAState<I>) - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
resume(KearnsVaziraniMealyState<I, O>) - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
resume(AutomatonLStarState<I, D, AI, S>) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
resume(TTTLearnerState<I, D>) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
resume(T) - Method in interface de.learnlib.api.algorithm.feature.ResumableLearner
Does not get the learner to continue learning.
retrieve() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
Retrieves and remove the top-most element, i.e., the element that is either the top of the stack or the head of the queue, depending on the configured BoundedDeque.AccessPolicy.
ReturnValue - Class in de.learnlib.drivers.reflect
Error output.
ReturnValue(Object) - Constructor for class de.learnlib.drivers.reflect.ReturnValue
 
ReuseCapableOracle<S,I,O> - Interface in de.learnlib.filter.reuse
Required interface for the ReuseOracle.
ReuseCapableOracle.QueryResult<S,O> - Class in de.learnlib.filter.reuse
 
ReuseEdge<S,I,O> - Class in de.learnlib.filter.reuse.tree
A ReuseEdge connects two ReuseNode's in the ReuseTree and is labeled with input and output behavior.
ReuseEdge(ReuseNode<S, I, O>, ReuseNode<S, I, O>, I, O) - Constructor for class de.learnlib.filter.reuse.tree.ReuseEdge
Default constructor.
ReuseException - Exception in de.learnlib.filter.reuse
This exception will be thrown whenever some nondeterministic behavior in the reuse tree is detected when inserting new queries.
ReuseException(String) - Constructor for exception de.learnlib.filter.reuse.ReuseException
 
ReuseNode<S,I,O> - Class in de.learnlib.filter.reuse.tree
A ReuseNode is a vertex in the ReuseTree that contains (a possible empty) set of outgoing ReuseEdges.
ReuseNode(int, int, int, BoundedDeque.AccessPolicy, BoundedDeque.EvictPolicy) - Constructor for class de.learnlib.filter.reuse.tree.ReuseNode
 
reuseNode - Variable in class de.learnlib.filter.reuse.tree.ReuseNode.NodeResult
 
ReuseNode.NodeResult<S,I,O> - Class in de.learnlib.filter.reuse.tree
 
ReuseOracle<S,I,O> - Class in de.learnlib.filter.reuse
The reuse oracle is a MealyMembershipOracle that is able to Cache queries: Each processed query will not be delegated again (instead the answer will be retrieved from the ReuseTree) Pump queries: If the ReuseTree is configured to know which symbols are model invariant input symbols via ReuseOracle.ReuseOracleBuilder.withInvariantInputs(Set) (like a read from a database which does not change the SUL) or configured for failure output symbols via ReuseOracle.ReuseOracleBuilder.withFailureOutputs(Set) (e.g. a roll back mechanism exists for the invoked symbol) the oracle could ''pump'' those symbols inside a query once seen.
ReuseOracle.ReuseOracleBuilder<S,I,O> - Class in de.learnlib.filter.reuse
 
ReuseOracleBuilder(Alphabet<I>, Supplier<? extends ReuseCapableOracle<S, I, O>>) - Constructor for class de.learnlib.filter.reuse.ReuseOracle.ReuseOracleBuilder
 
ReuseTree<S,I,O> - Class in de.learnlib.filter.reuse.tree
The ReuseTree is a tree like structure consisting of nodes (see ReuseNode) and edges (see ReuseEdge) that is used by the ReuseOracle: Nodes may contain a system state (see ReuseNode.fetchSystemState(boolean)) that could be used for executing suffixes of membership queries.
ReuseTree.ReuseTreeBuilder<S,I,O> - Class in de.learnlib.filter.reuse.tree
 
ReuseTreeBuilder(Alphabet<I>) - Constructor for class de.learnlib.filter.reuse.tree.ReuseTree.ReuseTreeBuilder
 
RIVEST_SCHAPIRE - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
RIVEST_SCHAPIRE - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds the single suffix found by the access sequence transformation using binary search.
RIVEST_SCHAPIRE - Static variable in class de.learnlib.counterexamples.LocalSuffixFinders
Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations using a binary search, as proposed by Rivest & Schapire.
RIVEST_SCHAPIRE_ALLSUFFIXES - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
RIVEST_SCHAPIRE_ALLSUFFIXES - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds the suffix found by the access sequence transformation using binary search, and all of its suffixes.
RivestSchapireDFA<I> - Class in de.learnlib.algorithms.rivestschapire
 
RivestSchapireDFA(Alphabet<I>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithms.rivestschapire.RivestSchapireDFA
 
RivestSchapireDFA(Alphabet<I>, MembershipOracle<I, Boolean>, List<Word<I>>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithms.rivestschapire.RivestSchapireDFA
 
RivestSchapireMealy<I,O> - Class in de.learnlib.algorithms.rivestschapire
 
RivestSchapireMealy(Alphabet<I>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithms.rivestschapire.RivestSchapireMealy
 
RivestSchapireMealy(Alphabet<I>, MembershipOracle<I, Word<O>>, List<Word<I>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithms.rivestschapire.RivestSchapireMealy
 
root - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
root - Variable in class de.learnlib.datastructure.pta.pta.BasePTA
 
Row<I> - Class in de.learnlib.algorithms.nlstar
A single row in the ObservationTable for NL*.
Row(Word<I>) - Constructor for class de.learnlib.algorithms.nlstar.Row
 
Row<I> - Interface in de.learnlib.datastructure.observationtable
A row in an observation table.
rowContents(Row<I>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
 
rowContents(Row<I>) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
 
rowContents(Row<I>) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
run() - Method in class de.learnlib.util.Experiment
 
runExperiment1() - Method in class de.learnlib.examples.example3.Example
 
runExperiment2() - Method in class de.learnlib.examples.example3.Example
 

S

safeToStringFunction(Function<? super T, ? extends String>) - Static method in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 
SampleSetEQOracle<I,D> - Class in de.learnlib.oracle.equivalence
An equivalence oracle that tests a hypothesis against a fixed set of sample queries.
SampleSetEQOracle(boolean) - Constructor for class de.learnlib.oracle.equivalence.SampleSetEQOracle
Constructor.
secondOutput - Variable in class de.learnlib.algorithms.adt.adt.ADT.LCAInfo
 
selectClosingRows(List<List<Row<I>>>) - Method in class de.learnlib.algorithms.lstar.AbstractExtensibleAutomatonLStar
 
selectClosingRows(List<List<Row<I>>>) - Method in class de.learnlib.algorithms.lstar.AbstractLStar
This method selects a set of rows to use for closing the table.
selectClosingRows(List<List<Row<RI>>>, ObservationTable<RI, RD>, MembershipOracle<RI, RD>) - Method in class de.learnlib.algorithms.lstar.closing.CloseRandomStrategy
 
selectClosingRows(List<List<Row<RI>>>, ObservationTable<RI, RO>, MembershipOracle<RI, RO>) - Method in interface de.learnlib.algorithms.lstar.closing.ClosingStrategy
Given a list of row equivalence classes, this method selects for each of the classes one (representative) row which is being closed.
setAccepting(boolean) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
setAccessSequence(Word<I>) - Method in class de.learnlib.algorithms.adt.automaton.ADTState
 
setChild(O, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
setData(D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
setDeterministic(boolean) - Method in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
Sets whether the outcome of the algorithm is required to be deterministic (i.e., subsequent calls of AbstractBlueFringeRPNI.computeModel() on the same input data will perform the same merges and return the same result).
setDiscriminator(DSCR) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
setDT(AbstractWordBasedDTNode<I, O, HState<I, O, SP, TP>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
setDTLeaf(AbstractWordBasedDTNode<I, O, HState<I, O, SP, TP>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
setEffect(int, E) - Method in class de.learnlib.acex.impl.AbstractBaseCounterexample
 
setForeignSuccessor(int, S, int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
setHypothesisState(S) - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
setInput(I) - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
setInputAlphabet(Alphabet<I>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
This is an internal method used for de-serializing.
setInternalTransition(int, HypIntTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
setIsSpanningTreeEdge(boolean) - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
setLeaf(DTNode<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
setLeafSplitter(LeafSplitter) - Method in class de.learnlib.algorithms.adt.adt.ADT
 
setLogModels(boolean) - Method in class de.learnlib.util.Experiment
 
setMaxDepth(int) - Method in class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
 
setMaxDepth(int) - Method in class de.learnlib.oracle.equivalence.WMethodEQOracle
 
setNext(MembershipOracle<I, D>) - Method in interface de.learnlib.api.oracle.Filter
sets oracle for processing membership queries.
setNext(MembershipOracle<I, D>) - Method in class de.learnlib.filter.statistic.oracle.CounterOracle
 
setNext(MembershipOracle<I, D>) - Method in class de.learnlib.filter.statistic.oracle.HistogramOracle
set used oracle.
setNextElement(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
setNextElement(T) - Method in interface de.learnlib.datastructure.list.IntrusiveListElem
 
setNextElement(T) - Method in class de.learnlib.datastructure.list.IntrusiveListElemImpl
 
setNonTreeTarget(DTNode<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.AbstractHypTrans
 
setOracle(MembershipOracle<I, O>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
setOutput(O) - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
setOutputToString(Function<? super D, ? extends String>) - Method in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 
setParallel(boolean) - Method in class de.learnlib.algorithms.rpni.AbstractBlueFringeRPNI
Sets whether attempts to merge a blue into a red state are conducted in parallel.
setParent(ADTNode<S, I, O>) - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
setPrevElement(IntrusiveListElem<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
setProfile(boolean) - Method in class de.learnlib.util.Experiment
 
setProperty(SP) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
setProperty(TP) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HTransition
 
setReturnTransition(int, int, HypRetTrans<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.HypLoc
 
setRowSeparators(boolean) - Method in class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
 
setSiftNode(ADTNode<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
setSource(ADTState<I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
setSplitData(SplitData<O, T>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
setStateLabel(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData
Sets the state label associated with this split data.
setSuccessor(int, S, int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBasePTAState
 
setSuccessor(int, S, int) - Method in class de.learnlib.datastructure.pta.pta.AbstractBlueFringePTAState
 
setSymbol(I) - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
setTarget(ADTState<I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTTransition
 
setTemp(boolean) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
setTransition(ADTState<I, O>, I, ADTTransition<I, O>) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
setTransition(int, HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.HState
 
setTransition(S, I, S, Row<I>, int) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
setTransition(int, TTTTransition<I, D>) - Method in class de.learnlib.algorithms.ttt.base.TTTState
 
setTransitionOutput(ADTTransition<I, O>, O) - Method in class de.learnlib.algorithms.adt.automaton.ADTHypothesis
 
setup() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
 
setup() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
 
setWordToString(Function<? super Word<? extends I>, ? extends String>) - Method in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
 
SHAHBAZ - Static variable in class de.learnlib.algorithms.lstar.ce.ObservationTableCEXHandlers
 
SHAHBAZ - Static variable in class de.learnlib.counterexamples.GlobalSuffixFinders
Adds all suffixes of the remainder of the input word, after stripping a maximal one-letter extension of an access sequence.
shortenCounterExample(MealyMachine<?, I, ?, O>, DefaultQuery<I, Word<O>>) - Static method in class de.learnlib.util.mealy.MealyUtil
 
shutdown() - Method in class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
shutdown() - Method in interface de.learnlib.oracle.parallelism.ParallelOracle
Shuts down all worker threads, but waits for any queued queries to be processed.
shutdown() - Method in class de.learnlib.oracle.parallelism.StaticParallelOracle
 
shutdownNow() - Method in class de.learnlib.oracle.parallelism.DynamicParallelOracle
 
shutdownNow() - Method in interface de.learnlib.oracle.parallelism.ParallelOracle
Shuts down all worker threads, and attempts to abort any query processing currently taking place.
shutdownNow() - Method in class de.learnlib.oracle.parallelism.StaticParallelOracle
 
sift(SymbolQueryOracle<I, O>, Word<I>, ADTNode<S, I, O>) - Method in class de.learnlib.algorithms.adt.adt.ADT
Successively sifts a word through the ADT induced by the given node.
sift(SymbolQueryOracle<I, O>, Word<I>) - Method in class de.learnlib.algorithms.adt.adt.ADTLeafNode
 
sift(SymbolQueryOracle<I, O>, Word<I>) - Method in interface de.learnlib.algorithms.adt.adt.ADTNode
Utility method, that sifts a given word through this ADTNode.
sift(SymbolQueryOracle<I, O>, Word<I>) - Method in class de.learnlib.algorithms.adt.adt.ADTResetNode
 
sift(SymbolQueryOracle<I, O>, Word<I>) - Method in class de.learnlib.algorithms.adt.adt.ADTSymbolNode
 
sift(DTNode<I>, Word<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTree
 
sift(DTNode<I>, Word<I>, boolean) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTree
 
sift(AccessSequenceProvider<I>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTree
 
sift(DTNode<I>, AccessSequenceProvider<I>, boolean) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTree
 
sift(AccessSequenceProvider<I>) - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
Sifts an access sequence provided by an object into the tree, starting at the root.
sift(AccessSequenceProvider<I>, boolean) - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
Sifts an access sequence provided by an object into the tree, starting at the root.
sift(Word<I>, boolean) - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
sift(AbstractBaseDTNode<I, D>, Word<I>, boolean) - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
sift(AbstractBaseDTNode<I, D>, AccessSequenceProvider<I>, boolean) - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
sift(AbstractBaseDTNode<I, D>, Word<I>) - Method in class de.learnlib.algorithms.ttt.base.BaseTTTDiscriminationTree
 
sift(Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
sift(N, Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
 
sift(AbstractWordBasedDTNode<I, O, D>, Word<I>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDiscriminationTree
 
SimpleEQOracle<A extends net.automatalib.automata.concepts.InputAlphabetHolder<I>,I,D> - Class in de.learnlib.oracle.equivalence
 
SimpleEQOracle(EquivalenceOracle<A, I, D>) - Constructor for class de.learnlib.oracle.equivalence.SimpleEQOracle
 
SimpleObservationTable<I,D> - Class in de.learnlib.datastructure.observationtable.reader
This class represents the data structure of an ObservationTable without providing any meaningful functionality.
SimpleObservationTable(List<? extends Word<I>>) - Constructor for class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
 
SimplePOJODataMapper - Class in de.learnlib.drivers.reflect
Basic stateless data mapper for objects.
SimplePOJODataMapper(Constructor<?>, Object...) - Constructor for class de.learnlib.drivers.reflect.SimplePOJODataMapper
 
SimplePOJOTestDriver - Class in de.learnlib.drivers.reflect
Simple test driver for plain java objects.
SimplePOJOTestDriver(Class<?>) - Constructor for class de.learnlib.drivers.reflect.SimplePOJOTestDriver
 
SimplePOJOTestDriver(Constructor<?>, Object...) - Constructor for class de.learnlib.drivers.reflect.SimplePOJOTestDriver
 
SimpleProfiler - Class in de.learnlib.util.statistics
Very rudimentary profiler.
simulator(A) - Static method in class de.learnlib.oracle.equivalence.EquivalenceQueries
 
SimulatorEQOracle<I,D> - Class in de.learnlib.oracle.equivalence
 
SimulatorEQOracle(R) - Constructor for class de.learnlib.oracle.equivalence.SimulatorEQOracle
 
SimulatorEQOracle<I> - Class in de.learnlib.oracle.equivalence.vpda
An equivalence oracle based on the computation of a separating word for a given hypothesis and a previously known target system.
SimulatorEQOracle(OneSEVPA<?, I>, VPDAlphabet<I>) - Constructor for class de.learnlib.oracle.equivalence.vpda.SimulatorEQOracle
 
SimulatorEQOracle.DFASimulatorEQOracle<I> - Class in de.learnlib.oracle.equivalence
 
SimulatorEQOracle.MealySimulatorEQOracle<I,O> - Class in de.learnlib.oracle.equivalence
 
SimulatorOracle<I,D> - Class in de.learnlib.oracle.membership
A membership oracle backed by an automaton.
SimulatorOracle(SuffixOutput<I, D>) - Constructor for class de.learnlib.oracle.membership.SimulatorOracle
Constructor.
SimulatorOracle.DFASimulatorOracle<I> - Class in de.learnlib.oracle.membership
 
SimulatorOracle.MealySimulatorOracle<I,O> - Class in de.learnlib.oracle.membership
 
SINGLE_BEST_EFFORT - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
SINGLE_MIN_LENGTH - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
SINGLE_MIN_SIZE - Static variable in class de.learnlib.algorithms.adt.config.SubtreeReplacers
 
SingleQueryOracle<I,D> - Interface in de.learnlib.api.oracle
Base interface for oracles whose semantic is defined in terms of directly answering single queries (like a QueryAnswerer, and that cannot profit from batch processing of queries.
SingleQueryOracle.SingleQueryOracleDFA<I> - Interface in de.learnlib.api.oracle
 
SingleQueryOracle.SingleQueryOracleMealy<I,O> - Interface in de.learnlib.api.oracle
 
SingleReplacer - Class in de.learnlib.algorithms.adt.config.model.replacer
 
SingleReplacer(ADSCalculator) - Constructor for class de.learnlib.algorithms.adt.config.model.replacer.SingleReplacer
 
size() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.OneSEVPAHypothesis
 
size() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.TransList
 
size() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
size() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
 
size() - Method in class de.learnlib.datastructure.pta.pta.BasePTA
 
size() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
 
Slf4jDelegator - Class in de.learnlib.api.logging
A simple LearnLogger implementation, that delegates all calls to a given Logger instance.
Slf4jDelegator(Logger) - Constructor for class de.learnlib.api.logging.Slf4jDelegator
 
split(ADTNode<S, I, O>, Word<I>, Word<O>, Word<O>) - Method in interface de.learnlib.algorithms.adt.api.LeafSplitter
Split the specified node to correctly distinguish between the old and new hypothesis state.
split(ContextPair<I>, Map<Boolean, DTNode<I>>) - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
split(AbstractBaseDTNode<I, D>, Word<I>, D, D) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
split(DSCR, O, O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
split(DSCR, O, O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
splitData - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
 
SplitData<O,T extends IntrusiveList<?>> - Class in de.learnlib.datastructure.discriminationtree
Data associated with a discrimination tree node while an enclosing subtree is being split.
SplitData(Supplier<T>) - Constructor for class de.learnlib.datastructure.discriminationtree.SplitData
 
splitLeaf(ADTNode<S, I, O>, Word<I>, Word<O>, Word<O>) - Method in class de.learnlib.algorithms.adt.adt.ADT
Splits a leaf node using the local LeafSplitter.
splitParent(ADTNode<S, I, O>, Word<I>, Word<O>, Word<O>) - Static method in class de.learnlib.algorithms.adt.config.LeafSplitters
 
SplitResult(N, N) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult
 
Splitter(int) - Constructor for class de.learnlib.algorithms.ttt.base.AbstractTTTLearner.Splitter
 
Splitter(int, AbstractBaseDTNode<I, D>) - Constructor for class de.learnlib.algorithms.ttt.base.AbstractTTTLearner.Splitter
 
Splitter<I> - Class in de.learnlib.algorithms.ttt.vpda
Data structure for representing a splitter.
Splitter(I, DTNode<I>) - Constructor for class de.learnlib.algorithms.ttt.vpda.Splitter
 
Splitter(I, HypLoc<I>, I, boolean, DTNode<I>) - Constructor for class de.learnlib.algorithms.ttt.vpda.Splitter
 
Splitter.SplitType - Enum in de.learnlib.algorithms.ttt.vpda
 
spQuery(HState<I, D, SP, TP>) - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
spQuery(HState<I, Boolean, Boolean, Void>) - Method in class de.learnlib.algorithms.discriminationtree.dfa.DTLearnerDFA
 
spQuery(HState<I, Word<O>, Void, O>) - Method in class de.learnlib.algorithms.discriminationtree.mealy.DTLearnerMealy
 
SQOOTBridge<I,O> - Class in de.learnlib.algorithms.adt.util
A utility class that links an observation tree with a symbol query oracle, meaning that all queries to the symbol query oracle will be stored in the observation tree.
SQOOTBridge(ObservationTree<?, I, O>, SymbolQueryOracle<I, O>, boolean) - Constructor for class de.learnlib.algorithms.adt.util.SQOOTBridge
 
srcState - Variable in class de.learnlib.algorithms.ttt.base.OutputInconsistency
 
start(String) - Static method in class de.learnlib.util.statistics.SimpleProfiler
start activity.
startLearning() - Method in class de.learnlib.algorithms.adt.learner.ADTLearner
 
startLearning() - Method in class de.learnlib.algorithms.dhc.mealy.MealyDHC
 
startLearning() - Method in class de.learnlib.algorithms.discriminationtree.AbstractDTLearner
 
startLearning() - Method in class de.learnlib.algorithms.discriminationtree.vpda.AbstractVPDALearner
 
startLearning() - Method in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
startLearning() - Method in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
startLearning() - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
startLearning() - Method in class de.learnlib.algorithms.lstar.AbstractLStar
 
startLearning() - Method in class de.learnlib.algorithms.nlstar.NLStarLearner
 
startLearning() - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
startLearning() - Method in interface de.learnlib.api.algorithm.LearningAlgorithm
Starts the model inference process, creating an initial hypothesis in the provided model object.
startLearning() - Method in class de.learnlib.util.nfa.NFALearnerWrapper
 
stateIDs() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.DTLearnerHypothesis
 
StateInfo<I,D> - Class in de.learnlib.algorithms.kv
The information associated with a state: it's access sequence (or access string), and the list of incoming transitions.
StateInfo(int, Word<I>) - Constructor for class de.learnlib.algorithms.kv.StateInfo
 
stateInfos - Variable in class de.learnlib.algorithms.kv.dfa.KearnsVaziraniDFA
 
stateInfos - Variable in class de.learnlib.algorithms.kv.mealy.KearnsVaziraniMealy
 
stateInfos - Variable in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
 
stateProperty(ObservationTable<I, D>, Row<I>) - Method in class de.learnlib.algorithms.lstar.AbstractAutomatonLStar
Derives a state property from the corresponding row.
stateProperty(ObservationTable<I, Boolean>, Row<I>) - Method in class de.learnlib.algorithms.lstar.dfa.ExtensibleLStarDFA
 
stateProperty(ObservationTable<I, O>, Row<I>) - Method in class de.learnlib.algorithms.lstar.mealy.ClassicLStarMealy
 
stateProperty(ObservationTable<I, Word<O>>, Row<I>) - Method in class de.learnlib.algorithms.lstar.mealy.ExtensibleLStarMealy
 
states - Variable in class de.learnlib.algorithms.ttt.base.AbstractTTTHypothesis
 
StaticParallelOracle<I,D> - Class in de.learnlib.oracle.parallelism
A membership oracle that statically distributes a set of queries among several threads.
StaticParallelOracle(Collection<? extends MembershipOracle<I, D>>, int, ParallelOracle.PoolPolicy) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOracle
 
StaticParallelOracleBuilder<I,D> - Class in de.learnlib.oracle.parallelism
A builder for a StaticParallelOracle.
StaticParallelOracleBuilder(Collection<? extends MembershipOracle<I, D>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOracleBuilder
 
StaticParallelOracleBuilder(Supplier<? extends MembershipOracle<I, D>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOracleBuilder
 
StatisticData - Interface in de.learnlib.api.statistic
Common interface for statistical data.
StatisticOracle<I,O> - Interface in de.learnlib.api.statistic
Common interface for oracles keeping statistics.
StatisticSUL<I,O> - Interface in de.learnlib.api.statistic
 
step(I) - Method in interface de.learnlib.api.SUL
make one step on the SUL.
step(I) - Method in class de.learnlib.driver.util.MealySimulatorSUL
 
step(AI) - Method in class de.learnlib.drivers.api.TestDriver
 
step(I) - Method in class de.learnlib.filter.cache.sul.SULCache
 
step(I) - Method in class de.learnlib.filter.statistic.sul.ResetCounterSUL
 
step(I) - Method in class de.learnlib.filter.statistic.sul.SymbolCounterSUL
 
step(I) - Method in class de.learnlib.mapper.AbstractContextExecutableInputSUL
 
step(I) - Method in class de.learnlib.mapper.ExecutableInputSUL
 
step(AI) - Method in class de.learnlib.mapper.MappedSUL
 
stop(String) - Static method in class de.learnlib.util.statistics.SimpleProfiler
stop activity.
StringMapper<CI> - Class in de.learnlib.mapper
 
StringMapper(Alphabet<CI>) - Constructor for class de.learnlib.mapper.StringMapper
 
subtree1Label - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo
 
subtree2Label - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo
 
subtreeLabel(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
 
subtreeLocations() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
subtreeLocsIterator() - Method in class de.learnlib.algorithms.discriminationtree.hypothesis.vpda.DTNode
 
subtreeNodesIterator() - Method in class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
SubtreeReplacer - Interface in de.learnlib.algorithms.adt.api
Interface for configuration objects that specify how nodes of the current ADT should be replaced.
subtreeReplacer() - Static method in class de.learnlib.algorithms.adt.learner.ADTLearner.BuilderDefaults
 
SubtreeReplacers - Class in de.learnlib.algorithms.adt.config
A collection of default SubtreeReplacer configurations.
subtreeStates() - Method in class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
subtreeStatesIterator() - Method in class de.learnlib.algorithms.ttt.base.AbstractBaseDTNode
 
succEffect(D) - Method in class de.learnlib.algorithms.ttt.base.AbstractTTTLearner
 
succEffect(Boolean) - Method in class de.learnlib.algorithms.ttt.dfa.TTTLearnerDFA
 
succEffect(Word<O>) - Method in class de.learnlib.algorithms.ttt.mealy.TTTLearnerMealy
 
successors