Index (LearnLib 19.0.0 API)

A B C D E F G H I K L M N O P Q R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

aborted() - Method in record class de.learnlib.oracle.TimedQueryOracle.TimerQueryResult: Returns the value of the aborted record component.
abs - Variable in class de.learnlib.algorithm.aaar.abstraction.Node.Leaf
AbstractAAARLearner<L extends LearningAlgorithm<CM,CI,D> & SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D> - Class in de.learnlib.algorithm.aaar: Base implementation of the learner presented in "Automata Learning with Automated Alphabet Abstraction Refinement" by Howar et al.
AbstractAAARLearner(LearnerConstructor<L, CI, D>, MembershipOracle<CI, D>) - Constructor for class de.learnlib.algorithm.aaar.AbstractAAARLearner
AbstractAbstractionTree<AI,CI,D> - Class in de.learnlib.algorithm.aaar.abstraction
AbstractAbstractionTree(AI, CI, MembershipOracle<CI, D>) - Constructor for class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
AbstractAutomatonLStar<A,I,D,S,T,SP,TP,AI extends MutableDeterministic<S,I,T,SP,TP> & SupportsGrowingAlphabet> - Class in de.learnlib.algorithm.lstar: Abstract base class for algorithms that produce (subclasses of) MutableDeterministic automata.
AbstractAutomatonLStar(Alphabet, MembershipOracle<I, D>, AI) - Constructor for class de.learnlib.algorithm.lstar.AbstractAutomatonLStar: Constructor.
AbstractAutomatonLStar.StateInfo<S,I> - Class in de.learnlib.algorithm.lstar
AbstractBaseCounterexample<E> - Class in de.learnlib.acex
AbstractBaseCounterexample(int) - Constructor for class de.learnlib.acex.AbstractBaseCounterexample: Constructor.
AbstractBaseDTNode<I,D> - Class in de.learnlib.algorithm.ttt.base
AbstractBaseDTNode() - Constructor for class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
AbstractBaseDTNode(AbstractBaseDTNode<I, D>, D) - Constructor for class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
AbstractBasePTAState<S extends AbstractBasePTAState<S,SP,TP>,SP,TP> - Class in de.learnlib.datastructure.pta
AbstractBasePTAState() - Constructor for class de.learnlib.datastructure.pta.AbstractBasePTAState
AbstractBFEmptinessOracle<A extends DeterministicOutputAutomaton<?,I,?,D>,I,D> - Class in de.learnlib.oracle.emptiness: An EmptinessOracle that tries words in a breadth-first manner.
AbstractBFEmptinessOracle(MembershipOracle<I, D>, double) - Constructor for class de.learnlib.oracle.emptiness.AbstractBFEmptinessOracle
AbstractBFInclusionOracle<A extends DeterministicOutputAutomaton<?,I,?,D>,I,D> - Class in de.learnlib.oracle.equivalence: An InclusionOracle that generates words in a breadth-first manner.
AbstractBFInclusionOracle(MembershipOracle<I, D>, double) - Constructor for class de.learnlib.oracle.equivalence.AbstractBFInclusionOracle
AbstractBFOracle<A extends DeterministicAutomaton<?,I,?>,I,D> - Class in de.learnlib.util: An AutomatonOracle that processes words in a breadth-first manner.
AbstractBFOracle(MembershipOracle<I, D>, double) - Constructor for class de.learnlib.util.AbstractBFOracle
AbstractBFOracleTest<D> - Class in de.learnlib.testsupport: Class to test any AbstractBFOracle.
AbstractBFOracleTest() - Constructor for class de.learnlib.testsupport.AbstractBFOracleTest
AbstractBlueFringePTA<S extends AbstractBlueFringePTAState<S,SP,TP>,SP,TP> - Class in de.learnlib.datastructure.pta
AbstractBlueFringePTA(int, S) - Constructor for class de.learnlib.datastructure.pta.AbstractBlueFringePTA
AbstractBlueFringePTAState<S extends AbstractBlueFringePTAState<S,SP,TP>,SP,TP> - Class in de.learnlib.datastructure.pta: Note: this class has a natural ordering that is inconsistent with equals.
AbstractBlueFringePTAState() - Constructor for class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
AbstractBlueFringeRPNI<I,D,SP,TP,M> - Class in de.learnlib.algorithm.rpni: Abstract base class for Blue-Fringe-RPNI algorithms.
AbstractBlueFringeRPNI(Alphabet) - Constructor for class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI: Constructor.
AbstractCalculator - Class in de.learnlib.algorithm.adt.config.model.calculator
AbstractCalculator() - Constructor for class de.learnlib.algorithm.adt.config.model.calculator.AbstractCalculator
AbstractContextExecutableInputSUL,O,C> - Class in de.learnlib.driver: Abstract base class for a SUL that step-wisely executes ContextExecutableInput symbols.
AbstractContextExecutableInputSUL() - Constructor for class de.learnlib.driver.AbstractContextExecutableInputSUL
AbstractCounterexample<E> - Interface in de.learnlib.acex
AbstractDecisionTree<I,D> - Class in de.learnlib.algorithm.lambda.ttt.dt
AbstractDecisionTree(Alphabet, STNode) - Constructor for class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
AbstractDFALearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for DFA learning algorithms.
AbstractDFALearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractDFALearnerIT
AbstractDFAPassiveLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for passive DFA learning algorithms.
AbstractDFAPassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.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 some information/functionality for discrimination trees.
AbstractDiscriminationTree(N, MembershipOracle<I, O>) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
AbstractDTNode<I,D> - Class in de.learnlib.algorithm.lambda.ttt.dt
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 some information stored in a node of a discrimination tree.
AbstractDTNode(DTInnerNode<I, D>, AbstractDecisionTree<I, D>) - Constructor for class de.learnlib.algorithm.lambda.ttt.dt.AbstractDTNode
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
AbstractDynamicBatchProcessor<Q,P extends BatchProcessor<Q>> - Class in de.learnlib.oracle.parallelism: A batch processor that dynamically distributes queries to worker threads.
AbstractDynamicBatchProcessor(Supplier<? extends P>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessor
AbstractDynamicBatchProcessorBuilder<Q,P extends BatchProcessor<Q>,OR> - Class in de.learnlib.oracle.parallelism: Builder class for a AbstractDynamicBatchProcessor.
AbstractDynamicBatchProcessorBuilder(Collection<? extends P>) - Constructor for class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder
AbstractDynamicBatchProcessorBuilder(Supplier<? extends P>) - Constructor for class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder
AbstractExplicitAAARLearner<L extends LearningAlgorithm<CM,CI,D> & SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D> - Class in de.learnlib.algorithm.aaar.explicit: An "explicit" refinement of the AbstractAAARLearner.
AbstractExplicitAAARLearner(LearnerConstructor<L, CI, D>, MembershipOracle<CI, D>, ExplicitInitialAbstraction<AI, CI>, Function<AI, AI>) - Constructor for class de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner: Constructor.
AbstractExtensibleAutomatonLStar<A,I,D,S,T,SP,TP,AI extends MutableDeterministic<S,I,T,SP,TP> & SupportsGrowingAlphabet> - Class in de.learnlib.algorithm.lstar
AbstractExtensibleAutomatonLStar(Alphabet, MembershipOracle<I, D>, AI, List<Word>, List<Word>, ObservationTableCEXHandler<? super I, ? super D>, ClosingStrategy<? super I, ? super D>) - Constructor for class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
AbstractExtensibleAutomatonLStar.BuilderDefaults - Class in de.learnlib.algorithm.lstar
AbstractGenericAAARLearner<L extends LearningAlgorithm<CM,CI,D> & SupportsGrowingAlphabet<CI>,AM,CM,AI,CI,D> - Class in de.learnlib.algorithm.aaar.generic: A "generic" refinement of the AbstractAAARLearner.
AbstractGenericAAARLearner(LearnerConstructor<L, CI, D>, MembershipOracle<CI, D>, CI, Function<CI, AI>) - Constructor for class de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner: Constructor.
AbstractGrowingAlphabetDFATest<L extends SupportsGrowingAlphabet<Character> & LearningAlgorithm<DFA<?,Character>,Character,Boolean>> - Class in de.learnlib.testsupport
AbstractGrowingAlphabetDFATest() - Constructor for class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
AbstractGrowingAlphabetMealyTest<L extends SupportsGrowingAlphabet<Character> & LearningAlgorithm<MealyMachine<?,Character,?,Character>,Character,Word<Character>>> - Class in de.learnlib.testsupport
AbstractGrowingAlphabetMealyTest() - Constructor for class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
AbstractGrowingAlphabetMooreTest<L extends SupportsGrowingAlphabet<Character> & LearningAlgorithm<MooreMachine<?,Character,?,Character>,Character,Word<Character>>> - Class in de.learnlib.testsupport
AbstractGrowingAlphabetMooreTest() - Constructor for class de.learnlib.testsupport.AbstractGrowingAlphabetMooreTest
AbstractGrowingAlphabetTest<L extends SupportsGrowingAlphabet & LearningAlgorithm<M,I,D>,M extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & 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 - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Abstract hypothesis transition.
AbstractHypTrans(Word) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
AbstractIntrusiveListEntryImpl<T> - Class in de.learnlib.datastructure.list: A utility class to connect AbstractBasicLinkedListEntrys with IntrusiveListEntrys.
AbstractIntrusiveListEntryImpl() - Constructor for class de.learnlib.datastructure.list.AbstractIntrusiveListEntryImpl
Abstraction<AI,CI> - Interface in de.learnlib.algorithm.aaar: An interface for mapping concrete symbols to their abstraction, and abstractions to their representatives, respectively.
AbstractLearnerASTDFATest<L extends AccessSequenceTransformer<Character> & LearningAlgorithm<DFA<?,Character>,Character,Boolean>> - Class in de.learnlib.testsupport
AbstractLearnerASTDFATest() - Constructor for class de.learnlib.testsupport.AbstractLearnerASTDFATest
AbstractLearnerASTMealyTest<L extends AccessSequenceTransformer<Character> & LearningAlgorithm<MealyMachine<?,Character,?,Character>,Character,Word<Character>>> - Class in de.learnlib.testsupport
AbstractLearnerASTMealyTest() - Constructor for class de.learnlib.testsupport.AbstractLearnerASTMealyTest
AbstractLearnerASTMooreTest<L extends AccessSequenceTransformer<Character> & LearningAlgorithm<MooreMachine<?,Character,?,Character>,Character,Word<Character>>> - Class in de.learnlib.testsupport
AbstractLearnerASTMooreTest() - Constructor for class de.learnlib.testsupport.AbstractLearnerASTMooreTest
AbstractLearnerASTTest<L extends AccessSequenceTransformer & LearningAlgorithm<M,I,D>,M extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & SuffixOutput<I,D>,OR,I,D> - Class in de.learnlib.testsupport: Test class that checks whether a learning algorithm which implements the AccessSequenceTransformer interface returns the correct representatives.
AbstractLearnerASTTest() - Constructor for class de.learnlib.testsupport.AbstractLearnerASTTest
AbstractLearnerVariantITCase<I,D,M extends FiniteRepresentation> - Class in de.learnlib.testsupport.it.testcase
AbstractLStar<A,I,D> - Class in de.learnlib.algorithm.lstar: An abstract base class for L*-style algorithms.
AbstractLStar(Alphabet, MembershipOracle<I, D>) - Constructor for class de.learnlib.algorithm.lstar.AbstractLStar: Constructor.
AbstractMealyLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for Mealy machine learning algorithms.
AbstractMealyLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMealyLearnerIT
AbstractMealyPassiveLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for passive Mealy machine learning algorithms.
AbstractMealyPassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMealyPassiveLearnerIT
AbstractMealySymLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for Mealy machine learning algorithms.
AbstractMealySymLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMealySymLearnerIT
AbstractMMLTLearnerIT - Class in de.learnlib.testsupport.it
AbstractMMLTLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMMLTLearnerIT
AbstractMooreLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for Moore machine learning algorithms.
AbstractMooreLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMooreLearnerIT
AbstractMoorePassiveLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for passive Moore machine learning algorithms.
AbstractMoorePassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMoorePassiveLearnerIT
AbstractMooreSymLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for Moore machine learning algorithms.
AbstractMooreSymLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractMooreSymLearnerIT
AbstractNamedAcexAnalyzer - Class in de.learnlib.acex: An abstract counterexample analyzer that carries a name.
AbstractNamedAcexAnalyzer(String) - Constructor for class de.learnlib.acex.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
AbstractOneSEVPALearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for OneSEVPA learning algorithms.
AbstractOneSEVPALearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractOneSEVPALearnerIT
AbstractOPLearner<M extends SuffixOutput<I,D>,I,D,SP,TP> - Class in de.learnlib.algorithm.observationpack: Base implementation of the "Observation Pack" learning algorithm.
AbstractOPLearner(Alphabet, MembershipOracle<I, D>, LocalSuffixFinder<? super I, ? super D>, boolean, AbstractWordBasedDiscriminationTree<I, D, HState<I, D, SP, TP>>) - Constructor for class de.learnlib.algorithm.observationpack.AbstractOPLearner
AbstractOPLearner.BuilderDefaults - Class in de.learnlib.algorithm.observationpack
AbstractPerfectSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: A symbol filter that answers all queries correctly.
AbstractPerfectSymbolFilter() - Constructor for class de.learnlib.filter.symbol.AbstractPerfectSymbolFilter
AbstractQuery<I,D> - Class in de.learnlib.query
AbstractQuery(Query<I, ?>) - Constructor for class de.learnlib.query.AbstractQuery
AbstractQuery(Word) - Constructor for class de.learnlib.query.AbstractQuery
AbstractQuery(Word, Word) - Constructor for class de.learnlib.query.AbstractQuery
AbstractRandomSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: A symbol filter that falsely answers a query with a specified probability.
AbstractRandomSymbolFilter(double, Random) - Constructor for class de.learnlib.filter.symbol.AbstractRandomSymbolFilter
AbstractResumableLearnerDFATest<L extends Resumable<T> & LearningAlgorithm<DFA<?,Character>,Character,Boolean>,T> - Class in de.learnlib.testsupport
AbstractResumableLearnerDFATest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerDFATest
AbstractResumableLearnerMealyTest<L extends Resumable<T> & LearningAlgorithm<MealyMachine<?,Character,?,Character>,Character,Word<Character>>,T> - Class in de.learnlib.testsupport
AbstractResumableLearnerMealyTest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
AbstractResumableLearnerMooreTest<L extends Resumable<T> & LearningAlgorithm<MooreMachine<?,Character,?,Character>,Character,Word<Character>>,T> - Class in de.learnlib.testsupport
AbstractResumableLearnerMooreTest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerMooreTest
AbstractResumableLearnerTest<L extends Resumable<T> & LearningAlgorithm<M,I,D>,M extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & Output<I,D>,OR,I,D,T> - Class in de.learnlib.testsupport: Test class that checks the workflow of a learning algorithm that implements Resumable.
AbstractResumableLearnerTest() - Constructor for class de.learnlib.testsupport.AbstractResumableLearnerTest
AbstractSBALearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for SBA learning algorithms.
AbstractSBALearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractSBALearnerIT
AbstractSPALearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for SPA learning algorithms.
AbstractSPALearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractSPALearnerIT
AbstractSPMMLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for SPMM learning algorithms.
AbstractSPMMLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractSPMMLearnerIT
AbstractSSTPassiveLearnerIT - Class in de.learnlib.testsupport.it: Abstract integration test for passive SubsequentialTransducers learning algorithms.
AbstractSSTPassiveLearnerIT() - Constructor for class de.learnlib.testsupport.it.AbstractSSTPassiveLearnerIT
AbstractStaticBatchProcessor<Q,P extends BatchProcessor<Q>> - Class in de.learnlib.oracle.parallelism: A batch processor that statically distributes a set of queries among several threads.
AbstractStaticBatchProcessor(Collection<? extends P>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessor
AbstractStaticBatchProcessorBuilder<Q,P extends BatchProcessor<Q>,OR> - Class in de.learnlib.oracle.parallelism: A builder for a AbstractStaticBatchProcessor.
AbstractStaticBatchProcessorBuilder(Collection<? extends P>) - Constructor for class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder
AbstractStaticBatchProcessorBuilder(Supplier<? extends P>) - Constructor for class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder
AbstractStatisticsSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: Collects various statistics on symbol filtering, including false accepts + false ignores.
AbstractStatisticsSymbolFilter(SymbolFilter<U, V>) - Constructor for class de.learnlib.filter.symbol.AbstractStatisticsSymbolFilter
AbstractSULOmegaOracle<S,I,O,Q> - Class in de.learnlib.oracle.membership: An omega membership oracle for an ObservableSUL.
AbstractSULOmegaOracle(ObservableSUL<S, I, O>) - Constructor for class de.learnlib.oracle.membership.AbstractSULOmegaOracle
AbstractTemporaryIntrusiveDTNode<DSCR,O,D,T,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 their regular tree structure.
AbstractTemporaryIntrusiveDTNode(N, O, D) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
AbstractTestWordEQOracle<A extends 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 TestWordGenerator.generateTestWords(Object, 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
AbstractTruthfulSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: A utility class that requires extending classes to answer the filter question truthfully.
AbstractTruthfulSymbolFilter() - Constructor for class de.learnlib.filter.symbol.AbstractTruthfulSymbolFilter
AbstractTTTHypothesis<S extends TTTState<I,D>,I,D,T> - Class in de.learnlib.algorithm.ttt.base: Hypothesis DFA for the TTT algorithm.
AbstractTTTHypothesis(Alphabet) - Constructor for class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis: Constructor.
AbstractTTTHypothesis.GraphView - Class in de.learnlib.algorithm.ttt.base
AbstractTTTHypothesis.TTTEdge<I,D> - Class in de.learnlib.algorithm.ttt.base
AbstractTTTLambda<M extends SuffixOutput<I,D>,I,D> - Class in de.learnlib.algorithm.lambda.ttt
AbstractTTTLambda(Alphabet, MembershipOracle<I, D>, MembershipOracle<I, D>) - Constructor for class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
AbstractTTTLearner<A,I,D> - Class in de.learnlib.algorithm.ttt.base: The TTT learning algorithm for generic automata.
AbstractTTTLearner(Alphabet, MembershipOracle<I, D>, AbstractTTTHypothesis<?, I, D, ?>, BaseTTTDiscriminationTree<I, D>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
AbstractTTTLearner.BuilderDefaults - Class in de.learnlib.algorithm.ttt.base
AbstractTTTLearner.Splitter<I,D> - Class in de.learnlib.algorithm.ttt.base: Data structure for representing a splitter.
AbstractVPALearner - Class in de.learnlib.algorithm.observationpack.vpa
AbstractVPALearner(VPAlphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
AbstractVPALearner.BuilderDefaults - Class in de.learnlib.algorithm.observationpack.vpa
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
accept(Word, V) - Method in interface de.learnlib.filter.RefutableSymbolFilter: Sets the response of the filter for the given transition to the provided response.
accept(Word, V) - Method in class de.learnlib.filter.symbol.AbstractStatisticsSymbolFilter
accept(Word, V) - Method in class de.learnlib.filter.symbol.AcceptAllSymbolFilter
accept(Word, V) - Method in class de.learnlib.filter.symbol.CachedSymbolFilter
ACCEPT - Enum constant in enum class de.learnlib.filter.FilterResponse: Indicates that a transition is relevant and should be included in, e.g., hypothesis construction.
AcceptAllSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: A pass-through filter that accepts all inputs.
AcceptAllSymbolFilter() - Constructor for class de.learnlib.filter.symbol.AcceptAllSymbolFilter
accepts(A, Iterable<? extends I>) - Method in interface de.learnlib.oracle.AutomatonOracle: Returns whether the given input is accepted by the given hypothesis.
accepts(DFA<?, I>, Iterable<? extends I>) - Method in interface de.learnlib.oracle.AutomatonOracle.DFAOracle
accepts(MealyMachine<?, I, ?, O>, Iterable<? extends I>) - Method in interface de.learnlib.oracle.AutomatonOracle.MealyOracle
access - Variable in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
accessPolicy() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
accessSequence - Variable in class de.learnlib.algorithm.kv.StateInfo
AccessSequenceProvider - Interface in de.learnlib: Common interface for objects that have an access sequence associated with them (e.g., states and transitions of a hypotheses).
AccessSequenceTransformer - Interface in de.learnlib
accStatesAreApart(ObservationTree<S, I, O>, Word, Word) - Static method in class de.learnlib.algorithm.lsharp.ApartnessUtil
AcexAnalysisAlgorithms - Class in de.learnlib.acex
AcexAnalyzer - Interface in de.learnlib.acex
AcexAnalyzers - Class in de.learnlib.acex: This is a utility class, acting as a container for several AbstractNamedAcexAnalyzers.
AcexAnalyzers.Direction - Enum Class in de.learnlib.acex
AcexLocalSuffixFinder - Class in de.learnlib.counterexample: Wraps a AbstractNamedAcexAnalyzer.
AcexLocalSuffixFinder(AcexAnalyzer, boolean, String) - Constructor for class de.learnlib.counterexample.AcexLocalSuffixFinder: Constructor.
Adaptive2MembershipWrapper<I,O> - Class in de.learnlib.util.mealy: Utility class to answer regular queries with an AdaptiveMembershipOracle.
Adaptive2MembershipWrapper(AdaptiveMembershipOracle<I, O>) - Constructor for class de.learnlib.util.mealy.Adaptive2MembershipWrapper
AdaptiveMembershipOracle<I,O> - Interface in de.learnlib.oracle: An adaptive variation of the MembershipOracle that is tailored towards answering adaptive queries.
adaptiveOutputQuery(Word, I, ADSTree<Integer, I, O>) - Method in class de.learnlib.algorithm.lsharp.LSOracle
adaptiveOutputQuery(Word, ADSTree<Integer, I, O>) - Method in class de.learnlib.algorithm.lsharp.LSOracle
AdaptiveQuery<I,O> - Interface in de.learnlib.query: An adaptive query is a variation of the (regular) Query that allows one to dynamically select the symbols to query based on responses to previous symbols.
AdaptiveQuery.Response - Enum Class in de.learnlib.query: The different types of responses when processing outputs from the system under learning.
AdaptiveQueryCache<I,O> - Class in de.learnlib.filter.cache.mealy: A cache for an AdaptiveMembershipOracle.
AdaptiveQueryCache(AdaptiveMembershipOracle<I, O>, Alphabet) - Constructor for class de.learnlib.filter.cache.mealy.AdaptiveQueryCache
AdaptiveQueryCache.AdaptiveQueryCacheState<I,O> - Class in de.learnlib.filter.cache.mealy
add(Word, D) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle: Adds a query word along with its expected output to the sample set.
add(T) - Method in class de.learnlib.datastructure.list.IntrusiveList: Adds an element to the front of the list.
addAll(MembershipOracle<I, D>, Collection<? extends Word>) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle: Adds words to the sample set.
addAll(MembershipOracle<I, D>, Word...) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle: Adds several query 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.algorithm.adt.learner.ADTLearner
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.adt.model.ObservationTree
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lstar.AbstractLStar
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.sparse.SparseLearner
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
addAlphabetSymbol(I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
addAlphabetSymbol(I) - Method in class de.learnlib.filter.cache.dfa.DFACacheOracle
addAlphabetSymbol(I) - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache
addAlphabetSymbol(I) - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
addAlphabetSymbol(I) - Method in class de.learnlib.filter.cache.moore.MooreCacheOracle
addAlphabetSymbol(I) - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
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(D, AbstractDTNode<I, D>) - Method in interface de.learnlib.algorithm.lambda.ttt.dt.Children
addChild(O, D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
addEdge(int, ReuseEdge<S, I, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseNode: Adds an outgoing ReuseEdge to this ReuseNode.
addGlobalSuffixes(Collection<? extends Word>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
addGlobalSuffixes(Collection<? extends Word>) - Method in interface de.learnlib.algorithm.GlobalSuffixLearner: Add the provided suffixes to the collection of global suffixes.
addGlobalSuffixes(Collection<? extends Word>) - Method in class de.learnlib.algorithm.lstar.AbstractLStar
addIncoming(int, int) - Method in class de.learnlib.algorithm.kv.StateInfo
addIncoming(AbstractHypTrans) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
addInput(String, Method, Object...) - Method in class de.learnlib.driver.reflect.SimplePOJOTestDriver
addInput(String, String, Object...) - Method in class de.learnlib.driver.reflect.SimplePOJOTestDriver
addLearnerVariant(String, LearningAlgorithm<? extends M, I, D>) - Method in interface de.learnlib.testsupport.it.variant.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>) - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl
addLearnerVariant(String, LearningAlgorithm<? extends M, I, D>, int) - Method in interface de.learnlib.testsupport.it.variant.LearnerVariantList: Adds a learner variant with a given maximum number of rounds to the list.
addLearnerVariant(String, LearningAlgorithm<? extends M, I, D>, int) - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl
addLearnerVariant(String, LearningAlgorithm<? extends MealyMachine<?, I, ?, O>, I, O>) - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MealySymLearnerVariantListImpl
addLearnerVariant(String, LearningAlgorithm<? extends MealyMachine<?, I, ?, O>, I, O>, int) - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MealySymLearnerVariantListImpl
addLearnerVariant(String, LearningAlgorithm<? extends MooreMachine<?, I, ?, O>, I, O>) - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MooreSymLearnerVariantListImpl
addLearnerVariant(String, LearningAlgorithm<? extends MooreMachine<?, I, ?, O>, I, O>, int) - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MooreSymLearnerVariantListImpl
addLearnerVariant(String, PassiveLearningAlgorithm<? extends M, I, D>) - Method in interface de.learnlib.testsupport.it.variant.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.variant.PassiveLearnerVariantListImpl
addLearnerVariants(Alphabet, int, MembershipOracle.DFAMembershipOracle, LearnerVariantList.DFALearnerVariantList) - Method in class de.learnlib.testsupport.it.AbstractDFALearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, int, MembershipOracle.MealyMembershipOracle<I, O>, LearnerVariantList.MealyLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.AbstractMealyLearnerIT: Adds, for a given setup, all the variants of the Mealy machine learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, int, MembershipOracle.MooreMembershipOracle<I, O>, LearnerVariantList.MooreLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.AbstractMooreLearnerIT: Adds, for a given setup, all the variants of the Moore machine learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, MembershipOracle<I, O>, LearnerVariantList.MealySymLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.AbstractMealySymLearnerIT: Adds, for a given setup, all the variants of the Mealy machine learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, MembershipOracle<I, O>, LearnerVariantList.MooreSymLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.AbstractMooreSymLearnerIT: Adds, for a given setup, all the variants of the Mealy machine learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, TimedQueryOracle<I, O>, LearningExample.MMLTLearningExample<I, O>, LearnerVariantList.MMLTLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.AbstractMMLTLearnerIT: Adds, for a given setup, all the variants of the MMLT learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, PassiveLearnerVariantList<DFA<?, I>, I, Boolean>) - Method in class de.learnlib.testsupport.it.AbstractDFAPassiveLearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, PassiveLearnerVariantList<MealyMachine<?, I, ?, O>, I, Word<O>>) - Method in class de.learnlib.testsupport.it.AbstractMealyPassiveLearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, PassiveLearnerVariantList<MooreMachine<?, I, ?, O>, I, Word<O>>) - Method in class de.learnlib.testsupport.it.AbstractMoorePassiveLearnerIT: Adds, for a given setup, all the variants of the Moore learner to be tested to the specified variant list.
addLearnerVariants(Alphabet, PassiveLearnerVariantList<SubsequentialTransducer<?, I, ?, O>, I, Word<O>>) - Method in class de.learnlib.testsupport.it.AbstractSSTPassiveLearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(ProceduralInputAlphabet, MembershipOracle.DFAMembershipOracle, LearnerVariantList.SBALearnerVariantList) - Method in class de.learnlib.testsupport.it.AbstractSBALearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(ProceduralInputAlphabet, MembershipOracle.DFAMembershipOracle, LearnerVariantList.SPALearnerVariantList) - Method in class de.learnlib.testsupport.it.AbstractSPALearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(ProceduralInputAlphabet, O, MembershipOracle.MealyMembershipOracle<I, O>, LearnerVariantList.SPMMLearnerVariantList<I, O>) - Method in class de.learnlib.testsupport.it.AbstractSPMMLearnerIT: Adds, for a given setup, all the variants of the DFA learner to be tested to the specified variant list.
addLearnerVariants(VPAlphabet, MembershipOracle.DFAMembershipOracle, LearnerVariantList.OneSEVPALearnerVariantList) - Method in class de.learnlib.testsupport.it.AbstractOneSEVPALearnerIT: Adds, for a given setup, all the variants of the OneSEVPA learner to be tested to the specified variant list.
addNegativeSample(Word) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
addNegativeSamples(Collection<? extends Word>) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
addNegativeSamples(Word...) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
addNonTreeIncoming(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
addObservation(Word, Word<O>) - Method in class de.learnlib.algorithm.lsharp.LSOracle
addOracle(EquivalenceOracle<? super A, I, D>) - Method in class de.learnlib.oracle.equivalence.EQOracleChain
addPositiveSample(Word) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
addPositiveSamples(Collection<? extends Word>) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
addPositiveSamples(Word...) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm.PassiveAcceptorLearner
addSample(DefaultQuery<I, D>) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSample(IntSeq, SP) - Method in class de.learnlib.datastructure.pta.BasePTA: Adds a sample to the PTA, and sets the property of the last reached (or inserted) state accordingly.
addSample(Word, D) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSamples(DefaultQuery<I, D>...) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSamples(D, Collection<? extends Word>) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSamples(D, Word...) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSamples(Collection<? extends DefaultQuery<I, D>>) - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSamples(Collection<? extends DefaultQuery<I, Boolean>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeEDSMDFA
addSamples(Collection<? extends DefaultQuery<I, Boolean>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeMDLDFA
addSamples(Collection<? extends DefaultQuery<I, Boolean>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIDFA
addSamples(Collection<? extends DefaultQuery<I, Word<O>>>) - Method in class de.learnlib.algorithm.ostia.OSTIA
addSamples(Collection<? extends DefaultQuery<I, Word<O>>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIMealy
addSamples(Collection<? extends DefaultQuery<I, Word<O>>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIMoore
addSampleWithStateProperties(IntSeq, List<? extends SP>) - Method in class de.learnlib.datastructure.pta.BasePTA
addSampleWithTransitionProperties(IntSeq, List<? extends TP>) - Method in class de.learnlib.datastructure.pta.BasePTA
addShortPrefix(PTNode<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.dt.DTLeaf
addShortPrefixes(List<? extends Word>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
addShortPrefixes(List<? extends Word>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
addState(S, Word, O) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Registers a new hypothesis state at the observation tree.
addSuffix(Word) - Method in class de.learnlib.algorithm.nlstar.ObservationTable
addSuffix(Word, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
addSuffix(Word, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable: Adds a suffix to the list of distinguishing suffixes.
addSuffixes(Collection<? extends Word>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
addSuffixes(Collection<? extends Word>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable: Adds suffixes to the list of distinguishing suffixes.
addSuffixes(List<? extends Word>) - Method in class de.learnlib.algorithm.nlstar.ObservationTable
addSuffixesUnchecked(Collection<? extends Word>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
addSystemState(S) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
addTimer(TimerInfo<?, O>) - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo: Adds a local timer to this location.
addTrace(S, ADTNode<S, I, O>) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: See ObservationTree.addState(Object, Word, Object).
addTrace(S, Word, Word<O>) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Store input/output information about a hypothesis state in the internal data structure.
addTrans(I, O, Integer) - Method in class de.learnlib.algorithm.lsharp.MapTransitions
addTrans(I, O, Integer) - Method in interface de.learnlib.algorithm.lsharp.TransitionInformation
addWord(Word) - Method in interface de.learnlib.oracle.AutomatonOracle: Add a new input word.
addWord(Word) - Method in class de.learnlib.util.AbstractBFOracle: Adds a new input word to the queue.
addWords(A, Collection<? extends I>, Word) - Method in interface de.learnlib.oracle.AutomatonOracle: Adds words to a data structure.
ADS - Enum constant in enum class de.learnlib.algorithm.lsharp.Rule2
ADS - Enum constant in enum class de.learnlib.algorithm.lsharp.Rule3
ADS<I,O> - Interface in de.learnlib.algorithm.lsharp.ads
ADSCalculator - Interface in de.learnlib.algorithm.adt.config.model
ADSNode<I,O> - Class in de.learnlib.algorithm.lsharp.ads
ADSNode() - Constructor for class de.learnlib.algorithm.lsharp.ads.ADSNode
ADSNode(I, Map<O, ADSNode<I, O>>, int) - Constructor for class de.learnlib.algorithm.lsharp.ads.ADSNode
ADSTree<S extends Comparable<S>,I,O> - Class in de.learnlib.algorithm.lsharp.ads
ADSTree(ObservationTree<S, I, O>, Collection<S>, O) - Constructor for class de.learnlib.algorithm.lsharp.ads.ADSTree
ADT<S,I,O> - Class in de.learnlib.algorithm.adt.adt: The adaptive discrimination tree class.
ADT() - Constructor for class de.learnlib.algorithm.adt.adt.ADT
ADT.LCAInfo<S,I,O> - Class in de.learnlib.algorithm.adt.adt
ADTExtender - Interface in de.learnlib.algorithm.adt.api: Interface for configuration objects that specify how to finalize the temporary splitter given by regular counterexample decomposition.
ADTExtenders - Class in de.learnlib.algorithm.adt.config: A collection of default ADTExtender configurations.
ADTHypothesis<I,O> - Class in de.learnlib.algorithm.adt.automaton: Hypothesis model.
ADTHypothesis(Alphabet) - Constructor for class de.learnlib.algorithm.adt.automaton.ADTHypothesis
ADTLeafNode<S,I,O> - Class in de.learnlib.algorithm.adt.adt: Leaf node implementation.
ADTLeafNode(ADTNode<S, I, O>, S) - Constructor for class de.learnlib.algorithm.adt.adt.ADTLeafNode
ADTLearner<I,O> - Class in de.learnlib.algorithm.adt.learner: The main learning algorithm.
ADTLearner(Alphabet, AdaptiveMembershipOracle<I, O>) - Constructor for class de.learnlib.algorithm.adt.learner.ADTLearner
ADTLearner(Alphabet, AdaptiveMembershipOracle<I, O>, LeafSplitter, ADTExtender, SubtreeReplacer) - Constructor for class de.learnlib.algorithm.adt.learner.ADTLearner
ADTLearner(Alphabet, AdaptiveMembershipOracle<I, O>, LeafSplitter, ADTExtender, SubtreeReplacer, boolean, LocalSuffixFinder<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.adt.learner.ADTLearner
ADTLearnerBuilder<I,O> - Class in de.learnlib.algorithm.adt.learner: A builder for constructing ADTLearner instances.
ADTLearnerBuilder() - Constructor for class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Creates a new builder (and may set default values for some parameters).
ADTLearnerState<S,I,O> - Class in de.learnlib.algorithm.adt.learner: Utility class that captures all essential state of a ADTLearner run.
adtNode - Variable in class de.learnlib.algorithm.adt.adt.ADT.LCAInfo
ADTNode<S,I,O> - Interface in de.learnlib.algorithm.adt.adt: The ADT equivalent of ADSNode.
ADTNode.NodeType - Enum Class in de.learnlib.algorithm.adt.adt: Utility enum to distinguish the 3 possible types of ADT nodes.
ADTResetNode<S,I,O> - Class in de.learnlib.algorithm.adt.adt: Reset node implementation.
ADTResetNode(ADTNode<S, I, O>) - Constructor for class de.learnlib.algorithm.adt.adt.ADTResetNode
ADTState<I,O> - Class in de.learnlib.algorithm.adt.automaton: Hypothesis state model.
ADTState(int) - Constructor for class de.learnlib.algorithm.adt.automaton.ADTState
ADTSymbolNode<S,I,O> - Class in de.learnlib.algorithm.adt.adt: Symbol node implementation.
ADTSymbolNode(ADTNode<S, I, O>, I) - Constructor for class de.learnlib.algorithm.adt.adt.ADTSymbolNode
ADTTransition<I,O> - Class in de.learnlib.algorithm.adt.automaton: Hypothesis transition model.
ADTTransition() - Constructor for class de.learnlib.algorithm.adt.automaton.ADTTransition
ADTUtil - Class in de.learnlib.algorithm.adt.util: Utility class, that offers some operations revolving around adaptive distinguishing sequences.
all() - Method in interface de.learnlib.algorithm.lambda.ttt.dt.Children
ALL_ANALYZERS - Static variable in class de.learnlib.acex.AcexAnalyzers
allNodesFinal() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
allWordsIterator() - Method in class de.learnlib.filter.cache.mmlt.TimedSULTreeCache: Returns an iterator that traverses all words (leaves of this tree) in a BFS-style fashion.
alphabet - Variable in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
alphabet - Variable in class de.learnlib.algorithm.lstar.AbstractLStar
alphabet - Variable in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
alphabet - Variable in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI
alphabet - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
ALPHABET - Static variable in class de.learnlib.testsupport.AbstractBFOracleTest
alphabetSize - Variable in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI
analyzeAbstractCounterexample(AbstractCounterexample<?>) - Method in interface de.learnlib.acex.AcexAnalyzer: Analyzes an abstract counterexample.
analyzeAbstractCounterexample(AbstractCounterexample<?>, int) - Method in interface de.learnlib.acex.AcexAnalyzer
analyzeAbstractCounterexample(AbstractCounterexample<?>, int, int) - Method in interface de.learnlib.acex.AcexAnalyzer
analyzeInconsistency(MMLTOutputInconsistency<I, O>, MMLTHypothesis<I, O>) - Method in class de.learnlib.algorithm.lstar.mmlt.cex.MMLTCounterexampleHandler
analyzeInconsistency(Inconsistency) - Method in class de.learnlib.algorithm.lstar.AbstractLStar: Analyzes an inconsistency.
analyzer - Variable in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
analyzer - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
analyzer() - Static method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner.BuilderDefaults
analyzer() - Static method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.BuilderDefaults
answer(D, int) - Method in class de.learnlib.query.OmegaQuery
answer(D) - Method in class de.learnlib.query.DefaultQuery
answer(D) - Method in class de.learnlib.query.Query: Answers the query.
answerADSFromTree(ADSTree<Integer, I, O>, Integer) - Method in class de.learnlib.algorithm.lsharp.LSOracle
answerQuery(Word<AI>, Word<AI>) - Method in class de.learnlib.oracle.membership.MappedOracle
answerQuery(Word) - Method in class de.learnlib.filter.reuse.ReuseOracle
answerQuery(Word) - Method in interface de.learnlib.oracle.MembershipOracle
answerQuery(Word) - Method in interface de.learnlib.oracle.QueryAnswerer
answerQuery(Word) - Method in class de.learnlib.testsupport.it.util.LockableOracle
answerQuery(Word, Word) - Method in class de.learnlib.filter.reuse.ReuseOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.CLIOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.CLIOutputOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.SimulatorOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.StateLocalInputSULOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.StdInOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.StdInOutputOracle
answerQuery(Word, Word) - Method in class de.learnlib.oracle.membership.SULOracle
answerQuery(Word, Word) - Method in interface de.learnlib.oracle.MembershipOracle
answerQuery(Word, Word) - Method in interface de.learnlib.oracle.QueryAnswerer
answerQuery(Word, Word) - Method in interface de.learnlib.oracle.SingleQueryOracle
answerQuery(Word, Word) - Method in class de.learnlib.testsupport.it.util.LockableOracle
answerQuery(Word, Word, int) - Method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle
answerQuery(Word, Word, int) - Method in class de.learnlib.oracle.membership.SimulatorOmegaOracle: Returns an answer for an OmegaQuery.
answerQuery(Word, Word, int) - Method in interface de.learnlib.oracle.OmegaMembershipOracle
answerQuery(Word, Word, int) - Method in interface de.learnlib.oracle.OmegaQueryAnswerer
answerQuery(Word<TimedInput>, Word<TimedInput>) - Method in class de.learnlib.oracle.membership.TimedSULOracle
anyChild() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
anySubtreeState() - Method in class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
ApartnessUtil - Class in de.learnlib.algorithm.lsharp
append(I) - Method in interface de.learnlib.algorithm.lambda.ttt.pt.PTNode
append(I) - Method in class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
appendAccessSequence(List<? super I>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
apply(AbstractBlueFringePTA<S, SP, TP>, Consumer<? super PTATransition<S>>) - Method in class de.learnlib.datastructure.pta.RedBlueMerge
apply(SULMapper<? super AI, ? extends AO, CI, CO>, SUL<? super CI, ? extends CO>) - Static method in class de.learnlib.mapper.SULMappers
arena - Variable in class de.learnlib.algorithm.lsharp.ads.ArenaTree
ArenaNode<T,P> - Class in de.learnlib.algorithm.lsharp.ads
ArenaNode(Pair<P, Integer>, T) - Constructor for class de.learnlib.algorithm.lsharp.ads.ArenaNode
ArenaNode(T) - Constructor for class de.learnlib.algorithm.lsharp.ads.ArenaNode
ArenaTree<T,P> - Class in de.learnlib.algorithm.lsharp.ads
ArenaTree() - Constructor for class de.learnlib.algorithm.lsharp.ads.ArenaTree
asDefaultQuery() - Method in class de.learnlib.query.OmegaQuery
asDFALearner() - Method in class de.learnlib.algorithm.nlstar.NLStarLearner: Retrieves a view of this learner as a DFA learner.
asOracle() - Method in interface de.learnlib.oracle.MembershipOracle
asOracle() - Method in interface de.learnlib.oracle.OmegaMembershipOracle
asOracle() - Method in interface de.learnlib.oracle.OmegaQueryAnswerer
asOracle() - Method in interface de.learnlib.oracle.QueryAnswerer
asOracle() - Method in class de.learnlib.testsupport.it.util.LockableOracle
ATManager - Interface in de.learnlib.algorithm.procedural.sba: A manager of access sequences and terminating sequences of SBAs during the learning process.
ATManager<I,O> - Interface in de.learnlib.algorithm.procedural.spmm: A manager of access sequences and terminating sequences of SPMMs during the learning process.
ATRManager - Interface in de.learnlib.algorithm.procedural.spa: A manager of access sequences, terminating sequences, and return sequences of SPAs during the learning process.
AutomatonLStarState<I,D,AI,S> - Class in de.learnlib.algorithm.lstar: Class that contains all data that represent the internal state of the AbstractAutomatonLStar learner and its DFA and Mealy implementations.
AutomatonOracle<A extends DeterministicAutomaton<?,I,?>,I,D> - Interface in de.learnlib.oracle: Finds counterexamples (to particular claims) to a hypothesis, while generating words that are in the given hypothesis.
AutomatonOracle.DFAOracle - Interface in de.learnlib.oracle
AutomatonOracle.MealyOracle<I,O> - Interface in de.learnlib.oracle

B

BACKWARD - Enum constant in enum class de.learnlib.acex.AcexAnalyzers.Direction
BasePropertyOracle<I,A extends Output<I,D>,P,D,R extends A> - Class in de.learnlib.oracle.property: A PropertyOracle that uses InclusionOracles and EmptinessOracles to evaluate potential counterexamples produced by a given ModelChecker.
BasePropertyOracle(P, InclusionOracle<A, I, D>, EmptinessOracle<R, I, D>, ModelChecker<I, A, P, R>) - Constructor for class de.learnlib.oracle.property.BasePropertyOracle
BasePTA<S extends AbstractBasePTAState<S,SP,TP>,SP,TP> - Class in de.learnlib.datastructure.pta: Base class for prefix tree acceptors.
BasePTA(int, S) - Constructor for class de.learnlib.datastructure.pta.BasePTA: Constructor.
BaseTTTDiscriminationTree<I,D> - Class in de.learnlib.algorithm.ttt.base: The discrimination tree data structure.
BaseTTTDiscriminationTree(MembershipOracle<I, D>, AbstractBaseDTNode<I, D>) - Constructor for class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
BaseTTTDiscriminationTree(MembershipOracle<I, D>, Supplier<? extends AbstractBaseDTNode<I, D>>) - Constructor for class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
BATCH_SIZE - Static variable in class de.learnlib.oracle.parallelism.BatchProcessorDefaults
BatchInterruptedException - Exception in de.learnlib.exception: Exception that is thrown if a parallel batch is interrupted during processing.
BatchInterruptedException(Throwable) - Constructor for exception de.learnlib.exception.BatchInterruptedException
BatchProcessor<T> - Interface in de.learnlib.oracle: A markup interface for classes that can process a batch of work in a parallel environment (e.g. a MembershipOracle when used by a ParallelOracle).
BatchProcessorDefaults - Class in de.learnlib.oracle.parallelism
BestEffortCalculator - Class in de.learnlib.algorithm.adt.config.model.calculator
BestEffortCalculator() - Constructor for class de.learnlib.algorithm.adt.config.model.calculator.BestEffortCalculator
BestEffortDefensiveCalculator - Class in de.learnlib.algorithm.adt.config.model.calculator
BestEffortDefensiveCalculator() - Constructor for class de.learnlib.algorithm.adt.config.model.calculator.BestEffortDefensiveCalculator
BINARY_SEARCH_BWD - Static variable in class de.learnlib.acex.AcexAnalyzers: Analyzer that searches for a suffix index using binary search.
BINARY_SEARCH_FWD - Static variable in class de.learnlib.acex.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(BinaryDTNode<I, D>, MembershipOracle<I, Boolean>, boolean) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree
BinaryDTree(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree
BinaryDTree(MembershipOracle<I, Boolean>, boolean) - Constructor for class de.learnlib.datastructure.discriminationtree.BinaryDTree
binarySearchLeft(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.AcexAnalysisAlgorithms
binarySearchRight(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.AcexAnalysisAlgorithms: Search for a suffix index using a binary search.
BlackBoxOracle<A extends Output<I,D>,I,D> - Interface in de.learnlib.oracle: Decides whether some words that do not satisfy properties evaluated by BlackBoxOracle.getPropertyOracles() on a given hypothesis, are included in a language.
BlackBoxOracle.DFABlackBoxOracle - Interface in de.learnlib.oracle
BlackBoxOracle.MealyBlackBoxOracle<I,O> - Interface in de.learnlib.oracle
blockList - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: The blocks during a split operation.
BLUE - Enum constant in enum class de.learnlib.datastructure.pta.Color: Indicates a blue state.
BlueFringeEDSMDFA - Class in de.learnlib.algorithm.rpni: A state-merging learning algorithm based on the evidence principle.
BlueFringeEDSMDFA(Alphabet) - Constructor for class de.learnlib.algorithm.rpni.BlueFringeEDSMDFA: Constructor.
BlueFringeMDLDFA - Class in de.learnlib.algorithm.rpni: A state-merging learning algorithm based on the minimal description length principle.
BlueFringeMDLDFA(Alphabet) - Constructor for class de.learnlib.algorithm.rpni.BlueFringeMDLDFA: Constructor.
BlueFringePTA<SP,TP> - Class in de.learnlib.datastructure.pta
BlueFringePTA(int) - Constructor for class de.learnlib.datastructure.pta.BlueFringePTA
BlueFringePTAState<SP,TP> - Class in de.learnlib.datastructure.pta
BlueFringePTAState() - Constructor for class de.learnlib.datastructure.pta.BlueFringePTAState
BlueFringeRPNIDFA - Class in de.learnlib.algorithm.rpni: A Blue Fringe version of RPNI for learning DFAs.
BlueFringeRPNIDFA(Alphabet) - Constructor for class de.learnlib.algorithm.rpni.BlueFringeRPNIDFA: Constructor.
BlueFringeRPNIMealy<I,O> - Class in de.learnlib.algorithm.rpni: Blue-fringe version of RPNI for inferring Mealy machines.
BlueFringeRPNIMealy(Alphabet) - Constructor for class de.learnlib.algorithm.rpni.BlueFringeRPNIMealy
BlueFringeRPNIMoore<I,O> - Class in de.learnlib.algorithm.rpni: Blue-fringe version of RPNI for inferring Moore machines.
BlueFringeRPNIMoore(Alphabet) - Constructor for class de.learnlib.algorithm.rpni.BlueFringeRPNIMoore
BlueFringeVisualizationHelper<S extends AbstractBlueFringePTAState<S,SP,TP>,SP,TP> - Class in de.learnlib.datastructure.pta.visualization
BlueFringeVisualizationHelper(AbstractBlueFringePTA<S, SP, TP>) - Constructor for class de.learnlib.datastructure.pta.visualization.BlueFringeVisualizationHelper
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(int, BoundedDeque.AccessPolicy, BoundedDeque.EvictPolicy) - Constructor for class de.learnlib.filter.reuse.tree.BoundedDeque: Constructor.
BoundedDeque(BoundedDeque.AccessPolicy) - Constructor for class de.learnlib.filter.reuse.tree.BoundedDeque: Constructor.
BoundedDeque.AccessPolicy - Enum Class in de.learnlib.filter.reuse.tree: The policy which determines in which order elements are accessed.
BoundedDeque.EvictPolicy - Enum Class in de.learnlib.filter.reuse.tree: The policy which determines in which order elements are removed if the maximum capacity is reached.
build() - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Creates a new ReuseOracle instance with the configured parameters.
build() - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Creates a new ReuseTree instance with the configured parameters.
buildADSFromObservation(Word, Word<O>, S) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil: Build a single trace ADS from the given information.
buildADSFromTrace(MealyMachine<S, I, ?, O>, Word, S) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
BuilderDefaults - Class in de.learnlib.filter.reuse: Default values for ReuseTreeBuilder and ReuseOracleBuilder.
buildFromADS(ADSNode<S, I, O>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil: Utility method that wraps an ADS of type ADSNode into the equivalent ADS of type ADTNode.
buildHypothesis() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
buildOracle(Collection<? extends AdaptiveMembershipOracle<I, O>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.StaticParallelAdaptiveOracleBuilder
buildOracle(Collection<? extends MembershipOracle<I, D>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.StaticParallelOracleBuilder
buildOracle(Collection<? extends OmegaMembershipOracle<S, I, D>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.StaticParallelOmegaOracleBuilder
buildOracle(Collection<? extends TimedQueryOracle<I, O>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.StaticParallelTimedQueryOracleBuilder
buildOracle(Collection<? extends P>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder
buildOracle(Supplier<? extends AdaptiveMembershipOracle<I, O>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.DynamicParallelAdaptiveOracleBuilder
buildOracle(Supplier<? extends MembershipOracle<I, D>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.DynamicParallelOracleBuilder
buildOracle(Supplier<? extends OmegaMembershipOracle<S, I, D>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracleBuilder
buildOracle(Supplier<? extends TimedQueryOracle<I, O>>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.DynamicParallelTimedQueryOracleBuilder
buildOracle(Supplier<? extends P>, int, ExecutorService) - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder
buildPtt(int, Iterator<Pair<IntSeq, IntSeq>>) - Static method in class de.learnlib.algorithm.ostia.OSTIA
buildQuery(DTNode, Word) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTree
buildQuery(AbstractBaseDTNode<I, D>, Word) - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
buildQuery(AbstractWordBasedDTNode<I, O, D>, Word) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractWordBasedDiscriminationTree
buildQuery(N, Word) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
buildTraceForNode(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
BUTTON - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine.Input
BWD_ANALYZERS - Static variable in class de.learnlib.acex.AcexAnalyzers

C

CACHED - Enum constant in enum class de.learnlib.oracle.ThreadPool.PoolPolicy: Maintain a "cached" thread pool.
CachedSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: Wrapper for a symbol filter that caches previous responses and allows caller to update these.
CachedSymbolFilter(SymbolFilter<U, V>) - Constructor for class de.learnlib.filter.symbol.CachedSymbolFilter
CALL - Enum constant in enum class de.learnlib.algorithm.ttt.vpa.Splitter.SplitType
canFork() - Method in class de.learnlib.driver.ContextExecutableInputSUL
canFork() - Method in class de.learnlib.driver.ExecutableInputSUL
canFork() - Method in class de.learnlib.driver.reflect.SimplePOJOExceptionMapper
canFork() - Method in class de.learnlib.driver.simulator.MealySimulatorSUL
canFork() - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
canFork() - Method in class de.learnlib.filter.statistic.sul.CounterSUL
canFork() - Method in class de.learnlib.mapper.MappedSUL
canFork() - Method in interface de.learnlib.sul.SUL: Returns whether this SUL is capable of forking.
canFork() - Method in interface de.learnlib.sul.SULMapper: Checks whether it is possible to fork this mapper.
CANONICAL_ORDER - Enum constant in enum class de.learnlib.datastructure.pta.config.DefaultProcessingOrders: Processes blue states in ascending canonical order of their access sequences.
Category - Class in de.learnlib.logging: A set of markers that allow one to categorize logging output.
cellContents(Row, int) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
cellContents(Row, int) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
CexAnalysisResult<I,O> - Interface in de.learnlib.algorithm.lstar.mmlt.cex.results: Outcome of a counterexample analysis.
CExFirstOracle<A extends Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: The strategy of this black-box oracle is to first try out a property, to see if it can be disproved.
CExFirstOracle() - Constructor for class de.learnlib.oracle.equivalence.CExFirstOracle
CExFirstOracle(PropertyOracle<I, ? super A, ?, D>) - Constructor for class de.learnlib.oracle.equivalence.CExFirstOracle
CExFirstOracle(Collection<? extends PropertyOracle<I, ? super A, ?, D>>) - Constructor for class de.learnlib.oracle.equivalence.CExFirstOracle
cexHandler - Variable in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
cexHandler() - Static method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
checkConsistency(MealyMachine<Integer, I, ?, O>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
checkEffects(D, D) - Method in class de.learnlib.acex.OutInconsPrefixTransformAcex
checkEffects(E, E) - Method in interface de.learnlib.acex.AbstractCounterexample
checkEffects(Boolean, Boolean) - Method in class de.learnlib.acex.ClassicPrefixTransformAcex
checkEffects(Boolean, Boolean) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA.PrefixTransformAcex
checkEffects(Word<TimedOutput<O>>, Word<TimedOutput<O>>) - Method in class de.learnlib.algorithm.lstar.mmlt.cex.MMLTInconsPrefixTransformAcex
checkEffects(Word<O>, Word<O>) - Method in class de.learnlib.acex.MealyOutInconsPrefixTransformAcex
checkEffects(Word<O>, Word<O>) - Method in class de.learnlib.acex.MooreOutInconsPrefixTransformAcex
checkFrontierConsistency() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
child(D) - Method in interface de.learnlib.algorithm.lambda.ttt.dt.Children
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
Children<I,D> - Interface in de.learnlib.algorithm.lambda.ttt.dt
choose() - Method in class de.learnlib.datastructure.list.IntrusiveList: Retrieves any element from the list.
chooseMinimal() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.TransList
CLASSIC_LSTAR - Static variable in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
ClassicLStarDFA - Class in de.learnlib.algorithm.lstar.dfa: Implementation of the L* algorithm by Dana Angluin.
ClassicLStarDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFA
ClassicLStarDFABuilder - Class in de.learnlib.algorithm.lstar.dfa: A builder for constructing ClassicLStarDFA instances.
ClassicLStarDFABuilder() - Constructor for class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Creates a new builder (and may set default values for some parameters).
ClassicLStarMealy<I,O> - Class in de.learnlib.algorithm.lstar.mealy: An implementation of the L*Mealy algorithm for inferring Mealy machines, as described by Oliver Niese in his Ph.D.
ClassicLStarMealy(Alphabet, MembershipOracle<I, O>) - Constructor for class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy: Constructor.
ClassicLStarMealy(Alphabet, MembershipOracle<I, O>, ObservationTableCEXHandler<? super I, ? super O>, ClosingStrategy<? super I, ? super O>) - Constructor for class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy: Constructor.
ClassicLStarMealy(Alphabet, MembershipOracle<I, O>, List<Word>, List<Word>, ObservationTableCEXHandler<? super I, ? super O>, ClosingStrategy<? super I, ? super O>) - Constructor for class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy
ClassicLStarMealyBuilder<I,O> - Class in de.learnlib.algorithm.lstar.mealy: A builder for constructing ClassicLStarMealy instances.
ClassicLStarMealyBuilder() - Constructor for class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Creates a new builder (and may set default values for some parameters).
ClassicLStarMoore<I,O> - Class in de.learnlib.algorithm.lstar.moore: A MooreMachine-based specialization of the classic L* learner.
ClassicLStarMoore(Alphabet, MembershipOracle<I, O>, List<Word>, List<Word>, ObservationTableCEXHandler<? super I, ? super O>, ClosingStrategy<? super I, ? super O>) - Constructor for class de.learnlib.algorithm.lstar.moore.ClassicLStarMoore
ClassicLStarMooreBuilder<I,O> - Class in de.learnlib.algorithm.lstar.moore: A builder for constructing ClassicLStarMoore instances.
ClassicLStarMooreBuilder() - Constructor for class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Creates a new builder (and may set default values for some parameters).
ClassicPrefixTransformAcex<I,D> - Class in de.learnlib.acex: An abstract counterexample based on prefix transformations.
ClassicPrefixTransformAcex(Word, int, MembershipOracle<I, D>, SuffixOutput<I, D>, Function<Word, Word>) - Constructor for class de.learnlib.acex.ClassicPrefixTransformAcex
ClassicPrefixTransformAcex(Word, MembershipOracle<I, D>, SuffixOutput<I, D>, Function<Word, Word>) - Constructor for class de.learnlib.acex.ClassicPrefixTransformAcex
CLEAN - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine.Input
clear() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
clear() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
clear() - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
clear() - Method in interface de.learnlib.statistic.StatisticsService: Clears the data of this collector.
clearSystemStates() - Method in class de.learnlib.filter.reuse.tree.ReuseNode
clearTransitionObject(ADTTransition<I, O>) - Method in class de.learnlib.algorithm.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.
CLIOracle - Class in de.learnlib.oracle.membership: An oracle that delegates its queries to an external program via the command-line interface.
CLIOracle(List<String>) - Constructor for class de.learnlib.oracle.membership.CLIOracle: Constructor.
CLIOracle(List<String>, String) - Constructor for class de.learnlib.oracle.membership.CLIOracle: Constructor.
CLIOutputAdaptiveOracle<I,O> - Class in de.learnlib.oracle.membership: An oracle that delegates its queries to an external program via the command-line interface.
CLIOutputAdaptiveOracle(List<String>, Function<String, O>, String) - Constructor for class de.learnlib.oracle.membership.CLIOutputAdaptiveOracle: Constructor.
CLIOutputOracle<I,D> - Class in de.learnlib.oracle.membership: An oracle that delegates its queries to an external program via the command-line interface.
CLIOutputOracle(List<String>, CLIOutputOracle.OutputTransformer<D>) - Constructor for class de.learnlib.oracle.membership.CLIOutputOracle: Constructor.
CLIOutputOracle(List<String>, CLIOutputOracle.OutputTransformer<D>, String) - Constructor for class de.learnlib.oracle.membership.CLIOutputOracle: Constructor.
CLIOutputOracle.OutputTransformer<D> - Interface in de.learnlib.oracle.membership: Transformer for converting the String-based output of a CLI application to a custom-typed output.
CLOSE_FIRST - Static variable in class de.learnlib.algorithm.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.algorithm.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.algorithm.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.algorithm.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.algorithm.lstar.closing
CloseRandomStrategy() - Constructor for class de.learnlib.algorithm.lstar.closing.CloseRandomStrategy
CloseRandomStrategy(Random) - Constructor for class de.learnlib.algorithm.lstar.closing.CloseRandomStrategy
closeTransition(ADTState<I, O>, I) - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
closeTransition(S, I) - Method in interface de.learnlib.algorithm.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).
closeTransitions() - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
closeTransitions() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
ClosingStrategies - Class in de.learnlib.algorithm.lstar.closing: Collection of predefined observation table closing strategies.
closingStrategy - Variable in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
closingStrategy() - Static method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
ClosingStrategy<I,D> - Interface in de.learnlib.algorithm.lstar.closing: A closing strategy, determining how to proceed when an observation table needs to be closed.
collectADSNodes(ADTNode<S, I, O>, boolean) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
collectDirectSubADSs(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
collectHypothesisStates(ADTNode<S, ?, ?>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
collectLeaves(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
collectResetNodes(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
collectTimeouts(TimeStepSequence) - Method in class de.learnlib.filter.statistic.sul.CounterTimedSUL
collectTimeouts(TimeStepSequence) - Method in interface de.learnlib.sul.TimedSUL: Waits for the duration of the given time step and returns all observed timeouts.
color - Variable in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
Color - Enum Class in de.learnlib.datastructure.pta: Indicates the coloring of states of the prefix-tree acceptor during merging.
compare(Query<I, ?>, Query<I, ?>) - Method in class de.learnlib.filter.cache.ReverseLexCmp
compare(I, I) - Method in class de.learnlib.filter.cache.DynamicSymbolComparator
compareTo(S) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
completeConsistentTable(List<List<Row>>, boolean) - Method in class de.learnlib.algorithm.lstar.AbstractLStar: Iteratively checks for unclosedness and inconsistencies in the table, and fixes any occurrences thereof.
CompleteExplorationEQOracle<A extends Output<I,D>,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.
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(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(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, Set<S>) - Method in interface de.learnlib.algorithm.adt.config.model.ADSCalculator
compute(MealyMachine<S, I, ?, O>, Alphabet, Set<S>) - Method in class de.learnlib.algorithm.adt.config.model.calculator.AbstractCalculator
compute(MealyMachine<S, I, ?, O>, Alphabet, Set<S>, PartialTransitionAnalyzer<S, I>) - Static method in class de.learnlib.algorithm.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, Set<S>, PartialTransitionAnalyzer<S, I>) - Method in class de.learnlib.algorithm.adt.config.model.calculator.BestEffortDefensiveCalculator
compute(MealyMachine<S, I, ?, O>, Alphabet, Set<S>, PartialTransitionAnalyzer<S, I>) - Method in interface de.learnlib.algorithm.adt.config.model.DefensiveADSCalculator
computeEffect(int) - Method in class de.learnlib.acex.AbstractBaseCounterexample
computeEffect(int) - Method in class de.learnlib.acex.ClassicPrefixTransformAcex
computeEffect(int) - Method in class de.learnlib.acex.OutInconsPrefixTransformAcex
computeEffect(int) - Method in class de.learnlib.algorithm.lstar.mmlt.cex.MMLTInconsPrefixTransformAcex
computeEffect(int) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA.PrefixTransformAcex
computeEffectiveResets(ADTNode<?, ?, ?>) - Static method in class de.learnlib.algorithm.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.algorithm.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.algorithm.adt.config.model.extender.DefaultExtender
computeHypothesisOutput(TTTState<I, D>, Word) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
computeHypothesisOutput(TTTState<I, Boolean>, Word) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
computeHypothesisOutput(TTTState<I, Word<O>>, Word) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
computeHypothesisOutput(TTTState<I, Word<O>>, Word) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
computeHypothesisOutput(Word) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
computeInternal(MealyMachine<S, I, ?, O>, Alphabet, Set<S>) - Method in class de.learnlib.algorithm.adt.config.model.calculator.AbstractCalculator
computeInternal(MealyMachine<S, I, ?, O>, Alphabet, Set<S>) - Method in class de.learnlib.algorithm.adt.config.model.calculator.BestEffortCalculator
computeInternal(MealyMachine<S, I, ?, O>, Alphabet, Set<S>) - Method in class de.learnlib.algorithm.adt.config.model.calculator.MinLengthCalculator
computeInternal(MealyMachine<S, I, ?, O>, Alphabet, Set<S>) - Method in class de.learnlib.algorithm.adt.config.model.calculator.MinSizeCalculator
computeModel() - Method in class de.learnlib.algorithm.ostia.OSTIA
computeModel() - Method in interface de.learnlib.algorithm.PassiveLearningAlgorithm: Computes the model given the previously added samples.
computeModel() - Method in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI
computeModel() - Method in class de.learnlib.algorithm.rpni.BlueFringeMDLDFA
computeOSubtree(ObservationTree<S, I, O>, O, List<S>, O, int) - Static method in class de.learnlib.algorithm.lsharp.ads.ADSTree
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet, ADT<S, I, O>) - Method in interface de.learnlib.algorithm.adt.api.SubtreeReplacer: Compute how certain nodes of the ADT should be replaced.
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet, ADT<S, I, O>) - Method in class de.learnlib.algorithm.adt.config.model.replacer.ExhaustiveReplacer
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet, ADT<S, I, O>) - Method in class de.learnlib.algorithm.adt.config.model.replacer.LevelOrderReplacer
computeReplacements(MealyMachine<S, I, ?, O>, Alphabet, ADT<S, I, O>) - Method in class de.learnlib.algorithm.adt.config.model.replacer.SingleReplacer
computeWitness(ObservationTree<S, I, O>, S, S) - Static method in class de.learnlib.algorithm.lsharp.ApartnessUtil
concat(IntrusiveList<T>) - Method in class de.learnlib.datastructure.list.IntrusiveList: Concatenates (prepends) the given list with this list.
CONFIG - Static variable in class de.learnlib.logging.Category: Marker for config-related properties.
constructADS(ObservationTree<S, I, O>, Collection<S>, O) - Static method in class de.learnlib.algorithm.lsharp.ads.ADSTree
constructHypothesis() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
constructLearner(Alphabet, MembershipOracle<I, D>) - Method in interface de.learnlib.algorithm.LearnerConstructor: Construct the learner instance.
constructMachine() - Static method in class de.learnlib.testsupport.example.dfa.ExampleAngluin
constructMachine() - Static method in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary: Construct and return a machine representation of this example.
constructMachine() - Static method in class de.learnlib.testsupport.example.dfa.ExampleTinyDFA: Construct and return a machine representation of this example.
constructMachine() - Static method in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
constructMachine() - Static method in class de.learnlib.testsupport.example.mealy.ExampleShahbazGroz
constructMachine() - Static method in class de.learnlib.testsupport.example.mealy.ExampleStack
constructMachine() - Static method in class de.learnlib.testsupport.example.mealy.ExampleTinyMealy: Construct and return a machine representation of this example.
constructMachine(int, int) - Static method in class de.learnlib.testsupport.example.mealy.ExampleGrid
constructMachine(A) - Static method in class de.learnlib.testsupport.example.dfa.ExampleAngluin
constructMachine(A) - Static method in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
constructMachine(A) - Static method in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine: Construct and return a machine representation of this example.
constructMachine(A) - Static method in class de.learnlib.testsupport.example.mealy.ExampleShahbazGroz: Construct and return a machine representation of this example.
constructMachine(A) - Static method in class de.learnlib.testsupport.example.mealy.ExampleStack: Construct and return a machine representation of this example.
constructMachine(A, int, int) - Static method in class de.learnlib.testsupport.example.mealy.ExampleGrid: 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.sul: A context executable input is an input that performs a specific action on a SUL itself, given a specific execution context.
ContextExecutableInputSUL,O,C> - Class in de.learnlib.driver: A SUL that executes ContextExecutableInput symbols.
ContextExecutableInputSUL(ContextHandler<C>) - Constructor for class de.learnlib.driver.ContextExecutableInputSUL
ContextHandler<C> - Interface in de.learnlib.sul: Facility for creating and disposing of contexts on which ContextExecutableInputs operate.
ContextPair - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: A context pair of prefix and suffix to discriminate a hypothesis state.
ContextPair(Word, Word) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.ContextPair
continueQuery(Word, S) - Method in interface de.learnlib.filter.reuse.ReuseCapableOracle: This method will be invoked whenever a system state s was found for reuse when a new membership query is processed.
copy() - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
copy() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
copy(ArrayStorage<TP>) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
copyAbstract(UniversalDeterministicAutomaton<S1, CI, T, SP, TP>, MutableDeterministic<S2, AI, ?, SP, TP>) - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner
CounterAdaptiveQueryOracle<I,O> - Class in de.learnlib.filter.statistic.oracle: A simple wrapper for counting the number of resets and symbols of an AdaptiveMembershipOracle.
CounterAdaptiveQueryOracle(AdaptiveMembershipOracle<I, O>) - Constructor for class de.learnlib.filter.statistic.oracle.CounterAdaptiveQueryOracle: Convenience constructor for CounterAdaptiveQueryOracle(AdaptiveMembershipOracle, String) which uses null as id.
CounterAdaptiveQueryOracle(AdaptiveMembershipOracle<I, O>, String) - Constructor for class de.learnlib.filter.statistic.oracle.CounterAdaptiveQueryOracle: Constructs a new counter oracle that writes statistical data to a StatisticsService.
CounterEQOracle<A,I,D> - Class in de.learnlib.filter.statistic.oracle: Wrapper for a EquivalenceOracle that gathers various statistics on queries sent to this oracle.
CounterEQOracle(EquivalenceOracle<A, I, D>) - Constructor for class de.learnlib.filter.statistic.oracle.CounterEQOracle: Convenience constructor for CounterEQOracle(EquivalenceOracle, String) which uses null as id.
CounterEQOracle(EquivalenceOracle<A, I, D>, String) - Constructor for class de.learnlib.filter.statistic.oracle.CounterEQOracle: Constructs a new counter oracle that writes statistical data to a StatisticsService.
COUNTEREXAMPLE - Static variable in class de.learnlib.logging.Category: Marker for counterexample-related properties.
CounterObservableSUL<S,I,O> - Class in de.learnlib.filter.statistic.sul: Wrapper for a ObservableSUL that gathers various statistics on queries sent to this SUL.
CounterObservableSUL(ObservableSUL<S, I, O>) - Constructor for class de.learnlib.filter.statistic.sul.CounterObservableSUL: Convenience constructor for CounterObservableSUL(ObservableSUL, String) which uses null as id.
CounterObservableSUL(ObservableSUL<S, I, O>, String) - Constructor for class de.learnlib.filter.statistic.sul.CounterObservableSUL: Constructs a new counter SUL that writes statistical data to a StatisticsService.
CounterObservableSUL(ObservableSUL<S, I, O>, String, StatisticsService) - Constructor for class de.learnlib.filter.statistic.sul.CounterObservableSUL
CounterOracle<I,D> - Class in de.learnlib.filter.statistic.oracle: A MembershipOracle that counts both the number of queries and the total number of symbols occurring in all those queries.
CounterOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.filter.statistic.oracle.CounterOracle: Convenience constructor for CounterOracle(MembershipOracle, String) which uses null as id.
CounterOracle(MembershipOracle<I, D>, String) - Constructor for class de.learnlib.filter.statistic.oracle.CounterOracle: Constructs a new counter oracle that writes statistical data to a StatisticsService.
CounterStateLocalInputSUL<I,O> - Class in de.learnlib.filter.statistic.sul: Wrapper for a StateLocalInputSUL that gathers various statistics on queries sent to this SUL.
CounterStateLocalInputSUL(StateLocalInputSUL<I, O>) - Constructor for class de.learnlib.filter.statistic.sul.CounterStateLocalInputSUL: Convenience constructor for CounterStateLocalInputSUL(StateLocalInputSUL, String) which uses null as id.
CounterStateLocalInputSUL(StateLocalInputSUL<I, O>, String, StatisticsService) - Constructor for class de.learnlib.filter.statistic.sul.CounterStateLocalInputSUL
CounterSUL<I,O> - Class in de.learnlib.filter.statistic.sul: Wrapper for a SUL that gathers various statistics on queries sent to this SUL.
CounterSUL(SUL<I, O>) - Constructor for class de.learnlib.filter.statistic.sul.CounterSUL: Convenience constructor for CounterSUL(SUL, String) which uses null as id.
CounterSUL(SUL<I, O>, String) - Constructor for class de.learnlib.filter.statistic.sul.CounterSUL: Constructs a new counter SUL that writes statistical data to a StatisticsService.
CounterSUL(SUL<I, O>, String, StatisticsService) - Constructor for class de.learnlib.filter.statistic.sul.CounterSUL
CounterTimedSUL<I,O> - Class in de.learnlib.filter.statistic.sul: Wrapper for a TimedSUL that gathers various statistics on queries sent to this SUL.
CounterTimedSUL(TimedSUL<I, O>) - Constructor for class de.learnlib.filter.statistic.sul.CounterTimedSUL: Convenience constructor for CounterTimedSUL(TimedSUL, String) which uses null as id.
CounterTimedSUL(TimedSUL<I, O>, String) - Constructor for class de.learnlib.filter.statistic.sul.CounterTimedSUL: Constructs a new counter SUL that writes statistical data to a StatisticsService.
CounterTimedSUL(TimedSUL<I, O>, String, StatisticsService) - Constructor for class de.learnlib.filter.statistic.sul.CounterTimedSUL
create() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Creates a new ADTLearner instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Creates a new MealyDHC instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Creates a new KearnsVaziraniDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Creates a new KearnsVaziraniMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Creates a new LSharpMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Creates a new ClassicLStarDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Creates a new ExtensibleLStarDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Creates a new ClassicLStarMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Creates a new ExtensibleLStarMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Creates a new ExtensibleLStarMMLT instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Creates a new ClassicLStarMoore instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Creates a new ExtensibleLStarMoore instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Creates a new MalerPnueliDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Creates a new MalerPnueliMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Creates a new MalerPnueliMoore instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Creates a new NLStarLearner instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Creates a new OPLearnerDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Creates a new OPLearnerMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Creates a new OPLearnerMoore instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Creates a new OPLearnerVPA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Creates a new RivestSchapireDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Creates a new RivestSchapireMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Creates a new RivestSchapireMoore instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Creates a new TTTLearnerDFA instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Creates a new TTTLearnerMealy instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Creates a new TTTLearnerMoore instance with the configured parameters.
create() - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Creates a new TTTLearnerVPA instance with the configured parameters.
create() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Creates a new KWayStateCoverEQOracle instance with the configured parameters.
create() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Creates a new KWayTransitionCoverEQOracle instance with the configured parameters.
create() - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder: Create the batch processor.
create() - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder: Create the batch processor.
createAbstractionForRepresentative(CI) - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
createAbstractionForRepresentative(CI) - Method in class de.learnlib.algorithm.aaar.abstraction.ExplicitAbstractionTree
createAbstractionForRepresentative(CI) - Method in class de.learnlib.algorithm.aaar.abstraction.GenericAbstractionTree
createAdaptiveQueryCache(Alphabet, AdaptiveMembershipOracle<I, O>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches: Creates a cache oracle for an adaptive Mealy machine learning setup, using a tree for internal cache organization.
createBreadthFirstOracle(double) - Method in class de.learnlib.testsupport.AbstractBFOracleTest
createCache(Alphabet, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches: Creates a cache oracle for a DFA learning setup.
createCache(Alphabet, 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, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.moore.MooreCaches: Creates a cache oracle for a Moore machine learning setup.
createCache(Alphabet, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a SULCache for a given SUL.
createCache(Alphabet, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.ThreadSafeSULCaches: Wraps a given SUL in a thread-safe variant of a SULCache that supports forking iff the given SUL supports it.
createCache(Alphabet, Collection<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a DFA learning setup.
createCache(Alphabet, Supplier<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Enhances a given oracle supplier with a shared, thread-safe cache for a DFA learning setup.
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.dfa.DFACacheOracle
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.dfa.DFAHashCacheOracle
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACacheOracle
createCacheConsistencyTest() - Method in interface de.learnlib.filter.cache.LearningCache: Creates a cache consistency test.
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCacheOracle
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.mmlt.TimedSULTreeCache
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.moore.MooreCacheOracle
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCacheOracle
createCacheConsistencyTest() - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
createChild(D, TTTState<I, D>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTDTNodeMealy
createChild(D, TTTState<I, D>) - Method in class de.learnlib.algorithm.ttt.moore.TTTDTNodeMoore
createChild(Boolean, D) - Method in class de.learnlib.datastructure.discriminationtree.BinaryDTNode
createChild(Boolean, HypLoc) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
createChild(Boolean, TTTState<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTDTNodeDFA
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.algorithm.observationpack.vpa.hypothesis.DTNode
createChildMap() - Method in class de.learnlib.algorithm.ttt.dfa.TTTDTNodeDFA
createChildMap() - Method in class de.learnlib.algorithm.ttt.mealy.TTTDTNodeMealy
createChildMap() - Method in class de.learnlib.algorithm.ttt.moore.TTTDTNodeMoore
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.driver.AbstractContextExecutableInputSUL
createContext() - Method in class de.learnlib.driver.ContextExecutableInputSUL
createContext() - Method in interface de.learnlib.sul.ContextHandler
createDAGCache(Alphabet, Mapping<? super O, ? extends O>, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Mealy machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Mapping<? super O, ? extends O>, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Moore machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Mapping<? super O, ? extends O>, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Mealy machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Mapping<? super O, ? extends O>, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Moore machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, 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, 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, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.moore.MooreCaches: Creates a cache oracle for a Moore machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a SULCache for a given SUL, using a DAG for internal cache organization.
createDAGCache(Alphabet, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.ThreadSafeSULCaches: Wraps a given SUL in a thread-safe variant of a SULCache that supports forking iff the given SUL supports it and uses a DAG for internal cache organization.
createDAGCache(Alphabet, Collection<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a DFA learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Mealy machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Moore machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Supplier<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Enhances a given oracle supplier with a shared, thread-safe cache for a DFA learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Mealy machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Moore machine learning setup, using a DAG for internal cache organization.
createDAGCache(Alphabet, 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, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.moore.MooreCaches: Creates a cache oracle for a Moore machine learning setup, using a DAG for internal cache organization.
createDAGPCCache(Alphabet, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches: Creates a prefix-closed cache oracle for a DFA learning setup, using a DAG for internal cache organization.
createDAGPCCache(Alphabet, Collection<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: The prefix-closed version of ThreadSafeDFACaches.createDAGCache(Alphabet, Collection).
createDAGPCCache(Alphabet, Supplier<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: The prefix-closed version of ThreadSafeDFACaches.createDAGCache(Alphabet, Supplier).
createDFA(int, boolean, int) - Static method in class de.learnlib.testsupport.example.dfa.ExampleKeylock
createDFAExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createDynamicTreeCache(Mapping<? super O, ? extends O>, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Mealy machine learning setup, using a dynamically growing tree for internal cache organization.
createDynamicTreeCache(Mapping<? super O, ? extends O>, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Mealy machine learning setup, using a dynamically growing tree for internal cache organization.
createDynamicTreeCache(MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.mealy.MealyCaches: Creates a cache oracle for a Mealy machine learning setup with a dynamic alphabet storage, using a tree for internal cache organization.
createDynamicTreeCache(Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Mealy machine learning setup, using a dynamically growing tree for internal cache organization.
createDynamicTreeCache(Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Mealy machine learning setup, using a dynamically growing tree for internal cache organization.
createDynamicTreeCache(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 with a dynamic alphabet storage, using a tree for internal cache organization.
createExample() - Static method in class de.learnlib.testsupport.example.dfa.ExampleAngluin
createExample() - Static method in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
createExample() - Static method in class de.learnlib.testsupport.example.dfa.ExampleTinyDFA
createExample() - Static method in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
createExample() - Static method in class de.learnlib.testsupport.example.mealy.ExampleShahbazGroz
createExample() - Static method in class de.learnlib.testsupport.example.mealy.ExampleStack
createExample() - Static method in class de.learnlib.testsupport.example.mealy.ExampleTinyMealy
createExample() - Static method in class de.learnlib.testsupport.example.sba.ExamplePalindrome
createExample() - Static method in class de.learnlib.testsupport.example.spa.ExamplePalindrome
createExample() - Static method in class de.learnlib.testsupport.example.spmm.ExamplePalindrome
createExample(int, boolean) - Static method in class de.learnlib.testsupport.example.dfa.ExampleKeylock
createExample(int, boolean, int) - Static method in class de.learnlib.testsupport.example.dfa.ExampleKeylock
createExample(int, int) - Static method in class de.learnlib.testsupport.example.mealy.ExampleGrid
createExample(Random, int, int) - Static method in class de.learnlib.testsupport.example.dfa.ExampleRandomDFA
createExample(Random, Alphabet, int, Collection<Word<O>>, Collection<Word<O>>) - Static method in class de.learnlib.testsupport.example.sst.ExampleRandomSST
createExample(Random, Alphabet, int, O...) - Static method in class de.learnlib.testsupport.example.mealy.ExampleRandomMealy
createExample(Random, Alphabet, int, O...) - Static method in class de.learnlib.testsupport.example.moore.ExampleRandomMoore
createExample(Random, Alphabet, int, O, O...) - Static method in class de.learnlib.testsupport.example.mealy.ExampleRandomStateLocalInputMealy
createExample(Random, ProceduralInputAlphabet, int) - Static method in class de.learnlib.testsupport.example.sba.ExampleRandomSBA
createExample(Random, ProceduralInputAlphabet, int) - Static method in class de.learnlib.testsupport.example.spa.ExampleRandomSPA
createExample(Random, ProceduralInputAlphabet, ProceduralOutputAlphabet<O>, int) - Static method in class de.learnlib.testsupport.example.spmm.ExampleRandomSPMM
createExample(Random, VPAlphabet, int, double, double) - Static method in class de.learnlib.testsupport.example.vpa.ExampleRandomOneSEVPA
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractDFALearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractDFAPassiveLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMealyLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMealyPassiveLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMealySymLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMMLTLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMooreLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMoorePassiveLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractMooreSymLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractOneSEVPALearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractSBALearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractSPALearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractSPMMLearnerIT
createExampleITCases() - Method in class de.learnlib.testsupport.it.AbstractSSTPassiveLearnerIT
createExampleITCases(LearningExample.MMLTLearningExample<I, O>, LearnerVariantListImpl.MMLTLearnerVariantListImpl<I, O>, MMLTLockableOracle<I, O>, EquivalenceOracle<MMLT<?, I, ?, O>, TimedInput, Word<TimedOutput<O>>>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants.
createExampleITCases(LearningExample.OneSEVPALearningExample, LearnerVariantListImpl.OneSEVPALearnerVariantListImpl, SEVPALockableOracle, EquivalenceOracle<OneSEVPA<?, I>, I, Boolean>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants.
createExampleITCases(LearningExample.SBALearningExample, LearnerVariantListImpl.SBALearnerVariantListImpl, SBALockableOracle, EquivalenceOracle<SBA<?, I>, I, Boolean>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants.
createExampleITCases(LearningExample.SPALearningExample, LearnerVariantListImpl.SPALearnerVariantListImpl, SPALockableOracle, EquivalenceOracle<SPA<?, I>, I, Boolean>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants.
createExampleITCases(LearningExample.SPMMLearningExample<I, O>, LearnerVariantListImpl.SPMMLearnerVariantListImpl<I, O>, SPMMLockableOracle<I, O>, EquivalenceOracle<SPMM<?, I, ?, O>, I, Word<O>>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants.
createExampleITCases(LearningExample.UniversalDeterministicLearningExample<I, ? extends A>, LearnerVariantListImpl<A, I, D>, LockableOracle<I, D>, EquivalenceOracle<? super A, I, D>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants.
createHashCache(MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches: Creates a cache oracle for a DFA learning setup, using a Map for internal cache organization.
createInitialState() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
createInputAlphabet() - Static method in class de.learnlib.testsupport.example.dfa.ExampleAngluin
createInputAlphabet() - Static method in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
createInputAlphabet() - Static method in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
createInputAlphabet() - Static method in class de.learnlib.testsupport.example.mealy.ExampleGrid
createInputAlphabet() - Static method in class de.learnlib.testsupport.example.mealy.ExampleShahbazGroz
createInputAlphabet() - Static method in class de.learnlib.testsupport.example.mealy.ExampleStack
createLocation(boolean, AbstractHypTrans) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
createLocation(AbstractHypTrans) - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
createMap() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
createMealyExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createMMLTExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createMooreExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createNewNode(AbstractBaseDTNode<I, D>, D) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
createNewNode(AbstractBaseDTNode<I, Boolean>, Boolean) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
createNewNode(AbstractBaseDTNode<I, Word<O>>, Word<O>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
createNewNode(AbstractBaseDTNode<I, Word<O>>, Word<O>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
createOneSEVPAExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createOpenTransition(ADTState<I, O>, I, ADTNode<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
createPassiveExampleITCases(PassiveLearningExample<I, D>, PassiveLearnerVariantListImpl<A, I, D>) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil: Creates a list of per-example test cases for all learner variants (passive version).
createSBAExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createSLIMealyExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createSPAExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createSPMMExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createSSTExamples() - Static method in class de.learnlib.testsupport.example.LearningExamples
createState() - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
createState() - Method in class de.learnlib.datastructure.pta.BlueFringePTAState
createState(boolean, Row) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
createState(HTransition<I, D, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
createState(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
createState(TTTTransition<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
createState(Void) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
createStateLocalInputCache(Alphabet, StateLocalInputSUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a StateLocalInputSULCache for a given StateLocalInputSUL.
createStateLocalInputCache(Alphabet, StateLocalInputSUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.ThreadSafeSULCaches: Wraps a given StateLocalInputSUL in a thread-safe variant of a StateLocalInputSULCache that supports forking iff the given SUL supports it.
createStateLocalInputTreeCache(Alphabet, StateLocalInputSUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a StateLocalInputSULCache for a given StateLocalInputSUL, using a tree for internal cache organization.
createStateLocalInputTreeCache(Alphabet, StateLocalInputSUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.ThreadSafeSULCaches: Wraps a given StateLocalInputSUL in a thread-safe variant of a StateLocalInputSULCache that supports forking iff the given SUL supports it and uses a tree for internal cache organization.
createSuccessor(int) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
createSuccessor(int) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
createTimedCache(TimedSUL<I, O>, MMLTModelParams<O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a TimedSULTreeCache for a given TimedSUL.
createTimedTreeCache(TimedSUL<I, O>, MMLTModelParams<O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a TimedSULTreeCache for a given TimedSUL, using a tree for internal cache organization.
createTransition(ADTState<I, O>, O) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
createTransition(TTTState<I, D>, I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
createTransition(TTTState<I, Word<O>>, I) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
createTreeCache(Alphabet, Mapping<? super O, ? extends O>, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Mealy machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Mapping<? super O, ? extends O>, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Moore machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Mapping<? super O, ? extends O>, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Mealy machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Mapping<? super O, ? extends O>, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Moore machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches: Creates a cache oracle for a DFA learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, 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, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.moore.MooreCaches: Creates a cache oracle for a Moore machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.SULCaches: Creates a SULCache for a given SUL, using a tree for internal cache organization.
createTreeCache(Alphabet, SUL<I, O>) - Static method in class de.learnlib.filter.cache.sul.ThreadSafeSULCaches: Wraps a given SUL in a thread-safe variant of a SULCache that supports forking iff the given SUL supports it and uses a tree for internal cache organization.
createTreeCache(Alphabet, Collection<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a DFA learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Mealy machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Collection<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances each oracle of a given collection with a shared, thread-safe cache for a Moore machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Supplier<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Enhances a given oracle supplier with a shared, thread-safe cache for a DFA learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Mealy machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, Supplier<? extends MembershipOracle<I, Word<O>>>) - Static method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCaches: Enhances a given oracle supplier with a shared, thread-safe cache for a Moore machine learning setup, using a tree for internal cache organization.
createTreeCache(Alphabet, 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, Mapping<? super O, ? extends O>, MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.filter.cache.moore.MooreCaches: Creates a cache oracle for a Moore machine learning setup, using a tree for internal cache organization.
createTreePCCache(Alphabet, MembershipOracle<I, Boolean>) - Static method in class de.learnlib.filter.cache.dfa.DFACaches: Creates a prefix-closed cache oracle for a DFA learning setup, using a tree for internal cache organization.
createTreePCCache(Alphabet, Collection<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Prefix-closed version of ThreadSafeDFACaches.createTreeCache(Alphabet, Collection).
createTreePCCache(Alphabet, Supplier<? extends MembershipOracle<I, Boolean>>) - Static method in class de.learnlib.filter.cache.dfa.ThreadSafeDFACaches: Prefix-closed version of ThreadSafeDFACaches.createTreeCache(Alphabet, Supplier).
createWorklist() - Method in interface de.learnlib.datastructure.pta.config.ProcessingOrder: Creates a worklist for managing the set of blue states in the RPNI algorithm.
currentlyEnabledInputs() - Method in class de.learnlib.driver.simulator.StateLocalInputMealySimulatorSUL
currentlyEnabledInputs() - Method in class de.learnlib.filter.cache.sul.StateLocalInputSULCache
currentlyEnabledInputs() - Method in class de.learnlib.filter.statistic.sul.CounterStateLocalInputSUL
currentlyEnabledInputs() - Method in interface de.learnlib.sul.StateLocalInputSUL: Returns the enabled symbols for the current state of the SUL.
currentTarget() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition

D

data - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
DATASTRUCTURE - Static variable in class de.learnlib.logging.Category: Marker for data structure-related properties.
de.learnlib - package de.learnlib
de.learnlib.acex - package de.learnlib.acex: This package provides interfaces and classes for the abstract counterexample analysis framework described in the paper An Abstract Framework for Counterexample Analysis in Active Automata Learning by Malte Isberner and Bernhard Steffen.
de.learnlib.algorithm - package de.learnlib.algorithm: This package contains the basic interfaces and classes of learning algorithms of LearnLib.
de.learnlib.algorithm.aaar - module de.learnlib.algorithm.aaar: This module provides the implementation of the AAAR learning algorithm as described in the paper Automata Learning with Automated Alphabet Abstraction Refinement by Falk Howar, Bernhard Steffen, and Maik Merten.
de.learnlib.algorithm.aaar - package de.learnlib.algorithm.aaar
de.learnlib.algorithm.aaar.abstraction - package de.learnlib.algorithm.aaar.abstraction
de.learnlib.algorithm.aaar.explicit - package de.learnlib.algorithm.aaar.explicit
de.learnlib.algorithm.aaar.generic - package de.learnlib.algorithm.aaar.generic
de.learnlib.algorithm.adt - module de.learnlib.algorithm.adt: This module provides the implementation of the ADT learning algorithm as described in the Master thesis Active Automata Learning with Adaptive Distinguishing Sequences by Markus Frohme.
de.learnlib.algorithm.adt.ads - package de.learnlib.algorithm.adt.ads
de.learnlib.algorithm.adt.adt - package de.learnlib.algorithm.adt.adt
de.learnlib.algorithm.adt.api - package de.learnlib.algorithm.adt.api
de.learnlib.algorithm.adt.automaton - package de.learnlib.algorithm.adt.automaton
de.learnlib.algorithm.adt.config - package de.learnlib.algorithm.adt.config
de.learnlib.algorithm.adt.config.model - package de.learnlib.algorithm.adt.config.model
de.learnlib.algorithm.adt.config.model.calculator - package de.learnlib.algorithm.adt.config.model.calculator
de.learnlib.algorithm.adt.config.model.extender - package de.learnlib.algorithm.adt.config.model.extender
de.learnlib.algorithm.adt.config.model.replacer - package de.learnlib.algorithm.adt.config.model.replacer
de.learnlib.algorithm.adt.learner - package de.learnlib.algorithm.adt.learner
de.learnlib.algorithm.adt.model - package de.learnlib.algorithm.adt.model
de.learnlib.algorithm.adt.util - package de.learnlib.algorithm.adt.util
de.learnlib.algorithm.dhc - module de.learnlib.algorithm.dhc: This module provides the implementation of the DHC learning algorithm as described in the paper Automata Learning with on-the-Fly Direct Hypothesis Construction by Maik Merten, Falk Howar, Bernhard Steffen, and Tiziana Margaria.
de.learnlib.algorithm.dhc.mealy - package de.learnlib.algorithm.dhc.mealy
de.learnlib.algorithm.kv - module de.learnlib.algorithm.kv: This module provides the implementation of the learning algorithm described in the book "An Introduction to Computational Learning Theory" by Michael Kearns and Umesh Vazirani.
de.learnlib.algorithm.kv - package de.learnlib.algorithm.kv
de.learnlib.algorithm.kv.dfa - package de.learnlib.algorithm.kv.dfa
de.learnlib.algorithm.kv.mealy - package de.learnlib.algorithm.kv.mealy
de.learnlib.algorithm.lambda - module de.learnlib.algorithm.lambda: This module provides the implementations of various learning algorithms based on the "lazy partition refinement" concept as described in the paper Active Automata Learning as Black-Box Search and Lazy Partition Refinement by Falk Howar and Bernhard Steffen.
de.learnlib.algorithm.lambda.lstar - package de.learnlib.algorithm.lambda.lstar
de.learnlib.algorithm.lambda.ttt - package de.learnlib.algorithm.lambda.ttt
de.learnlib.algorithm.lambda.ttt.dfa - package de.learnlib.algorithm.lambda.ttt.dfa
de.learnlib.algorithm.lambda.ttt.dt - package de.learnlib.algorithm.lambda.ttt.dt
de.learnlib.algorithm.lambda.ttt.mealy - package de.learnlib.algorithm.lambda.ttt.mealy
de.learnlib.algorithm.lambda.ttt.pt - package de.learnlib.algorithm.lambda.ttt.pt
de.learnlib.algorithm.lambda.ttt.st - package de.learnlib.algorithm.lambda.ttt.st
de.learnlib.algorithm.lsharp - module de.learnlib.algorithm.lsharp: This module provides the implementation of the L^# algorithm as described in the paper A New Approach for Active Automata Learning Based on Apartness by Frits Vaandrager, Bharat Garhewal, Jurriaan Rot, and Thorsten Wißmann.
de.learnlib.algorithm.lsharp - package de.learnlib.algorithm.lsharp
de.learnlib.algorithm.lsharp.ads - package de.learnlib.algorithm.lsharp.ads
de.learnlib.algorithm.lstar - module de.learnlib.algorithm.lstar: This module provides the implementation of the L* learning algorithm described in the paper Learning Regular Sets from Queries and Counterexamples by Dana Angluin including variations and optimizations thereof such as the versions based on "On the Learnability of Infinitary Regular Sets by Oded Maler and Amir Pnueli or Inference of finite automata using homing sequences) by Ronald L. Rivest and Robert E. Schapire.
de.learnlib.algorithm.lstar - package de.learnlib.algorithm.lstar
de.learnlib.algorithm.lstar.ce - package de.learnlib.algorithm.lstar.ce
de.learnlib.algorithm.lstar.closing - package de.learnlib.algorithm.lstar.closing
de.learnlib.algorithm.lstar.dfa - package de.learnlib.algorithm.lstar.dfa
de.learnlib.algorithm.lstar.mealy - package de.learnlib.algorithm.lstar.mealy
de.learnlib.algorithm.lstar.mmlt - package de.learnlib.algorithm.lstar.mmlt
de.learnlib.algorithm.lstar.mmlt.cex - package de.learnlib.algorithm.lstar.mmlt.cex
de.learnlib.algorithm.lstar.mmlt.cex.results - package de.learnlib.algorithm.lstar.mmlt.cex.results
de.learnlib.algorithm.lstar.mmlt.filter - package de.learnlib.algorithm.lstar.mmlt.filter
de.learnlib.algorithm.lstar.moore - package de.learnlib.algorithm.lstar.moore
de.learnlib.algorithm.malerpnueli - package de.learnlib.algorithm.malerpnueli
de.learnlib.algorithm.nlstar - module de.learnlib.algorithm.nlstar: This module provides the implementation of the NL* learning algorithm as described in the paper Angluin-Style Learning of NFA by Benedikt Bollig, Peter Habermehl, Carsten Kern, and Martin Leucker.
de.learnlib.algorithm.nlstar - package de.learnlib.algorithm.nlstar
de.learnlib.algorithm.observationpack - module de.learnlib.algorithm.observationpack: This module provides the implementation of the Observation-Pack learning algorithm as described in the PhD thesis Active learning of interface programs by Falk Howar.
de.learnlib.algorithm.observationpack - package de.learnlib.algorithm.observationpack
de.learnlib.algorithm.observationpack.dfa - package de.learnlib.algorithm.observationpack.dfa
de.learnlib.algorithm.observationpack.hypothesis - package de.learnlib.algorithm.observationpack.hypothesis
de.learnlib.algorithm.observationpack.mealy - package de.learnlib.algorithm.observationpack.mealy
de.learnlib.algorithm.observationpack.moore - package de.learnlib.algorithm.observationpack.moore
de.learnlib.algorithm.observationpack.vpa - module de.learnlib.algorithm.observationpack.vpa: This module provides the implementation of the VPA adaption of the Observation-Pack learning algorithm as discussed in the PhD thesis Foundations of Active Automata Learning: An Algorithmic Perspective by Malte Isberner.
de.learnlib.algorithm.observationpack.vpa - package de.learnlib.algorithm.observationpack.vpa
de.learnlib.algorithm.observationpack.vpa.hypothesis - package de.learnlib.algorithm.observationpack.vpa.hypothesis
de.learnlib.algorithm.ostia - module de.learnlib.algorithm.ostia: This module provides the implementation of the "onward subsequential transducer inference algorithm" (OSTIA) learning algorithm as presented in the paper Learning Subsequential Transducers for Pattern Recognition Interpretation Tasks by Jose Oncina, Pedro García, and Enrique Vidal.
de.learnlib.algorithm.ostia - package de.learnlib.algorithm.ostia
de.learnlib.algorithm.procedural - module de.learnlib.algorithm.procedural: This module provides the implementations of various learning algorithms for systems of procedural automata such as the ones described in the papers Compositional learning of mutually recursive procedural systems and From Languages to Behaviors and Back by Markus Frohme and Bernhard Steffen.
de.learnlib.algorithm.procedural - package de.learnlib.algorithm.procedural
de.learnlib.algorithm.procedural.sba - package de.learnlib.algorithm.procedural.sba
de.learnlib.algorithm.procedural.sba.manager - package de.learnlib.algorithm.procedural.sba.manager
de.learnlib.algorithm.procedural.spa - package de.learnlib.algorithm.procedural.spa
de.learnlib.algorithm.procedural.spa.manager - package de.learnlib.algorithm.procedural.spa.manager
de.learnlib.algorithm.procedural.spmm - package de.learnlib.algorithm.procedural.spmm
de.learnlib.algorithm.procedural.spmm.manager - package de.learnlib.algorithm.procedural.spmm.manager
de.learnlib.algorithm.rivestschapire - package de.learnlib.algorithm.rivestschapire
de.learnlib.algorithm.rpni - module de.learnlib.algorithm.rpni: This module provides the implementation of (a blue-fringe version of) the "regular positive negative inference" (RPNI) learning algorithm as presented in the paper Inferring regular languages in polynomial update time by Jose Oncina and Pedro García, including merging heuristics such as the "evidence-driven state merging" (EDSM) and "minimum description length" (MDL) strategies.
de.learnlib.algorithm.rpni - package de.learnlib.algorithm.rpni
de.learnlib.algorithm.sparse - module de.learnlib.algorithm.sparse: This module provides the implementation of the Sparse OT learning algorithm as described in the paper Learning Mealy Machines with Sparse Observation Tables by Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.
de.learnlib.algorithm.sparse - package de.learnlib.algorithm.sparse
de.learnlib.algorithm.ttt - module de.learnlib.algorithm.ttt: This module provides the implementation of the TTT algorithm as described in the paper The TTT Algorithm: A Redundancy-Free Approach to Active Automata Learning by Malte Isberner, Falk Howar, and Bernhard Steffen.
de.learnlib.algorithm.ttt.base - package de.learnlib.algorithm.ttt.base
de.learnlib.algorithm.ttt.dfa - package de.learnlib.algorithm.ttt.dfa
de.learnlib.algorithm.ttt.mealy - package de.learnlib.algorithm.ttt.mealy
de.learnlib.algorithm.ttt.moore - package de.learnlib.algorithm.ttt.moore
de.learnlib.algorithm.ttt.vpa - module de.learnlib.algorithm.ttt.vpa: This module provides the implementation of the VPA adaption of the TTT learning algorithm as presented in the PhD thesis Foundations of Active Automata Learning: An Algorithmic Perspective by Malte Isberner.
de.learnlib.algorithm.ttt.vpa - package de.learnlib.algorithm.ttt.vpa
de.learnlib.api - module de.learnlib.api: This module provides the core interfaces of LearnLib.
de.learnlib.common.counterexample - module de.learnlib.common.counterexample: This module provides a collection of algorithms for handling counterexamples in automata learning.
de.learnlib.common.util - module de.learnlib.common.util: This module provides a collection of utility methods for learning setups (oracle wrappers, etc.).
de.learnlib.counterexample - package de.learnlib.counterexample: This package contains a collection of standard algorithms for handling counterexamples in automata learning.
de.learnlib.datastructure - module de.learnlib.datastructure: This module provides data structures shared by multiple learning algorithms of LearnLib.
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 - package de.learnlib.datastructure.pta
de.learnlib.datastructure.pta.config - package de.learnlib.datastructure.pta.config
de.learnlib.datastructure.pta.visualization - package de.learnlib.datastructure.pta.visualization
de.learnlib.datastructure.pta.wrapper - package de.learnlib.datastructure.pta.wrapper
de.learnlib.driver - module de.learnlib.driver: This module provides basic support for test driver creation.
de.learnlib.driver - package de.learnlib.driver
de.learnlib.driver.reflect - package de.learnlib.driver.reflect
de.learnlib.driver.simulator - module de.learnlib.driver.simulator: This module provides utilities for simulating SULs.
de.learnlib.driver.simulator - package de.learnlib.driver.simulator
de.learnlib.exception - package de.learnlib.exception
de.learnlib.filter - package de.learnlib.filter
de.learnlib.filter.cache - module de.learnlib.filter.cache: This module provides caches to avoid posing duplicate membership queries.
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.mmlt - package de.learnlib.filter.cache.mmlt
de.learnlib.filter.cache.moore - package de.learnlib.filter.cache.moore
de.learnlib.filter.cache.sul - package de.learnlib.filter.cache.sul
de.learnlib.filter.reuse - module de.learnlib.filter.reuse: This module provides a reuse tree for (intelligently) caching membership queries as described in the paper Reusing System States by Active Learning Algorithms by Oliver Bauer, Johannes Neubauer, Bernhard Steffen, and Falk Howar.
de.learnlib.filter.reuse - package de.learnlib.filter.reuse
de.learnlib.filter.reuse.tree - package de.learnlib.filter.reuse.tree
de.learnlib.filter.statistic - module de.learnlib.filter.statistic: This module provides filters for collecting statistical data.
de.learnlib.filter.statistic - package de.learnlib.filter.statistic
de.learnlib.filter.statistic.container - package de.learnlib.filter.statistic.container
de.learnlib.filter.statistic.learner - package de.learnlib.filter.statistic.learner
de.learnlib.filter.statistic.oracle - package de.learnlib.filter.statistic.oracle
de.learnlib.filter.statistic.sul - package de.learnlib.filter.statistic.sul
de.learnlib.filter.symbol - module de.learnlib.filter.symbol: This module provides a collection of symbol filters.
de.learnlib.filter.symbol - package de.learnlib.filter.symbol
de.learnlib.logging - package de.learnlib.logging
de.learnlib.mapper - module de.learnlib.mapper: This module provides translation utilities for mapping abstract hypothesis symbols to concrete SUL symbols.
de.learnlib.mapper - package de.learnlib.mapper
de.learnlib.oracle - package de.learnlib.oracle: This package contains the basic interfaces and classes for describing and implementing various types of oracles used throughout LearnLib.
de.learnlib.oracle.emptiness - module de.learnlib.oracle.emptiness: This module provides a collection of emptiness oracles.
de.learnlib.oracle.emptiness - package de.learnlib.oracle.emptiness
de.learnlib.oracle.equivalence - module de.learnlib.oracle.equivalence: This module provides a collection of equivalence oracles.
de.learnlib.oracle.equivalence - package de.learnlib.oracle.equivalence
de.learnlib.oracle.equivalence.mealy - package de.learnlib.oracle.equivalence.mealy
de.learnlib.oracle.equivalence.mmlt - package de.learnlib.oracle.equivalence.mmlt
de.learnlib.oracle.equivalence.sba - package de.learnlib.oracle.equivalence.sba
de.learnlib.oracle.equivalence.spa - package de.learnlib.oracle.equivalence.spa
de.learnlib.oracle.equivalence.spmm - package de.learnlib.oracle.equivalence.spmm
de.learnlib.oracle.equivalence.vpa - package de.learnlib.oracle.equivalence.vpa
de.learnlib.oracle.membership - module de.learnlib.oracle.membership: This module provides a collection of membership oracles.
de.learnlib.oracle.membership - package de.learnlib.oracle.membership
de.learnlib.oracle.parallelism - module de.learnlib.oracle.parallelism: This module provides support for posing membership queries in parallel.
de.learnlib.oracle.parallelism - package de.learnlib.oracle.parallelism
de.learnlib.oracle.property - module de.learnlib.oracle.property: This module provides a collection of property oracles.
de.learnlib.oracle.property - package de.learnlib.oracle.property
de.learnlib.query - package de.learnlib.query
de.learnlib.setting - module de.learnlib.setting: This module provides a collection of utility methods to parse LearnLib specific settings.
de.learnlib.setting - package de.learnlib.setting
de.learnlib.setting.sources - package de.learnlib.setting.sources
de.learnlib.statistic - package de.learnlib.statistic
de.learnlib.sul - package de.learnlib.sul: This package (and related packages) contains interfaces and classes for formalizing access to systems under learning (SULs).
de.learnlib.testsupport - module de.learnlib.testsupport: This module provides support classes for easily writing unit tests for various components of LearnLib.
de.learnlib.testsupport - package de.learnlib.testsupport
de.learnlib.testsupport.example - module de.learnlib.testsupport.example: This module provides example learning setups, to be used for integration testing.
de.learnlib.testsupport.example - package de.learnlib.testsupport.example
de.learnlib.testsupport.example.dfa - package de.learnlib.testsupport.example.dfa
de.learnlib.testsupport.example.mealy - package de.learnlib.testsupport.example.mealy
de.learnlib.testsupport.example.mmlt - package de.learnlib.testsupport.example.mmlt
de.learnlib.testsupport.example.moore - package de.learnlib.testsupport.example.moore
de.learnlib.testsupport.example.sba - package de.learnlib.testsupport.example.sba
de.learnlib.testsupport.example.spa - package de.learnlib.testsupport.example.spa
de.learnlib.testsupport.example.spmm - package de.learnlib.testsupport.example.spmm
de.learnlib.testsupport.example.sst - package de.learnlib.testsupport.example.sst
de.learnlib.testsupport.example.vpa - package de.learnlib.testsupport.example.vpa
de.learnlib.testsupport.it - module de.learnlib.testsupport.it: This module provides support classes for easily writing integration test cases for learning algorithms.
de.learnlib.testsupport.it - package de.learnlib.testsupport.it
de.learnlib.testsupport.it.testcase - package de.learnlib.testsupport.it.testcase
de.learnlib.testsupport.it.util - package de.learnlib.testsupport.it.util
de.learnlib.testsupport.it.variant - package de.learnlib.testsupport.it.variant
de.learnlib.time - package de.learnlib.time
de.learnlib.util - package de.learnlib.util
de.learnlib.util.mealy - package de.learnlib.util.mealy
de.learnlib.util.moore - package de.learnlib.util.moore
de.learnlib.util.nfa - package de.learnlib.util.nfa
declareFinal(DTNode) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
declareFinal(AbstractBaseDTNode<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
deepCopies() - Method in class de.learnlib.filter.statistic.sul.CounterObservableSUL
deepCopies() - Method in interface de.learnlib.sul.ObservableSUL: Returns whether each state retrieved with ObservableSUL.getState() is a deep copy.
DEFAULT_AUTOMATON_SIZE - Static variable in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
DEFAULT_SPLITTER - Static variable in class de.learnlib.algorithm.adt.config.LeafSplitters
DefaultATManager - Class in de.learnlib.algorithm.procedural.sba.manager: A default ATManager that only extracts initial access sequences and terminating sequences from positive counterexamples.
DefaultATManager<I,O> - Class in de.learnlib.algorithm.procedural.spmm.manager: A default ATManager that only extracts initial access sequences and terminating sequences from positive counterexamples.
DefaultATManager(ProceduralInputAlphabet) - Constructor for class de.learnlib.algorithm.procedural.sba.manager.DefaultATManager
DefaultATManager(ProceduralInputAlphabet, O) - Constructor for class de.learnlib.algorithm.procedural.spmm.manager.DefaultATManager
DefaultATRManager - Class in de.learnlib.algorithm.procedural.spa.manager: A default ATRManager that only extracts initial access sequences, terminating sequences, and return sequences from positive counterexamples.
DefaultATRManager(ProceduralInputAlphabet) - Constructor for class de.learnlib.algorithm.procedural.spa.manager.DefaultATRManager
DefaultDFALearningExample(A) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultDFALearningExample
DefaultDFALearningExample(Alphabet, DFA<?, I>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultDFALearningExample
DefaultDFAPassiveLearningExample(Collection<DefaultQuery<I, Boolean>>) - Constructor for class de.learnlib.testsupport.example.DefaultPassiveLearningExample.DefaultDFAPassiveLearningExample
DefaultExtender - Class in de.learnlib.algorithm.adt.config.model.extender
DefaultExtender(DefensiveADSCalculator) - Constructor for class de.learnlib.algorithm.adt.config.model.extender.DefaultExtender
DefaultLearningExample<I,D,A extends UniversalAutomaton<?,I,?,?,?> & SuffixOutput<I,D>> - Class in de.learnlib.testsupport.example: A learning example that directly stores the alphabet and the reference automaton in its fields.
DefaultLearningExample(Alphabet, A) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample
DefaultLearningExample.DefaultDFALearningExample - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultMealyLearningExample<I,D> - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultMMLTLearningExample<I,O> - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultMooreLearningExample<I,D> - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultOneSEVPALearningExample - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultSBALearningExample - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultSPALearningExample - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultSPMMLearningExample<I,O> - Class in de.learnlib.testsupport.example
DefaultLearningExample.DefaultSSTLearningExample<I,D> - Class in de.learnlib.testsupport.example
DefaultMealyLearningExample(A) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMealyLearningExample
DefaultMealyLearningExample(Alphabet, MealyMachine<?, I, ?, D>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMealyLearningExample
DefaultMealyPassiveLearningExample(Collection<DefaultQuery<I, Word<O>>>) - Constructor for class de.learnlib.testsupport.example.DefaultPassiveLearningExample.DefaultMealyPassiveLearningExample
DefaultMMLTLearningExample(MMLT<?, I, ?, O>, MMLTModelParams<O>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMMLTLearningExample
DefaultMooreLearningExample(A) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMooreLearningExample
DefaultMooreLearningExample(Alphabet, MooreMachine<?, I, ?, D>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMooreLearningExample
DefaultMoorePassiveLearningExample(Collection<DefaultQuery<I, Word<O>>>) - Constructor for class de.learnlib.testsupport.example.DefaultPassiveLearningExample.DefaultMoorePassiveLearningExample
DefaultOneSEVPALearningExample(VPAlphabet, OneSEVPA<?, I>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultOneSEVPALearningExample
DefaultPassiveLearningExample<I,D> - Class in de.learnlib.testsupport.example: Default implementation for a passive learning example.
DefaultPassiveLearningExample(Collection<DefaultQuery<I, D>>) - Constructor for class de.learnlib.testsupport.example.DefaultPassiveLearningExample
DefaultPassiveLearningExample.DefaultDFAPassiveLearningExample - Class in de.learnlib.testsupport.example
DefaultPassiveLearningExample.DefaultMealyPassiveLearningExample<I,O> - Class in de.learnlib.testsupport.example
DefaultPassiveLearningExample.DefaultMoorePassiveLearningExample<I,O> - Class in de.learnlib.testsupport.example
DefaultPassiveLearningExample.DefaultSSTPassiveLearningExample<I,O> - Class in de.learnlib.testsupport.example
DefaultProcessingOrders - Enum Class in de.learnlib.datastructure.pta.config: Standard processing orders that can be used for the RPNI algorithm.
DefaultQuery<I,D> - Class in de.learnlib.query: A query is a container for tests a learning algorithms performs, containing the actual test and the corresponding result.
DefaultQuery(Query<I, ?>) - Constructor for class de.learnlib.query.DefaultQuery
DefaultQuery(Word) - Constructor for class de.learnlib.query.DefaultQuery
DefaultQuery(Word, D) - Constructor for class de.learnlib.query.DefaultQuery
DefaultQuery(Word, Word) - Constructor for class de.learnlib.query.DefaultQuery
DefaultQuery(Word, Word, D) - Constructor for class de.learnlib.query.DefaultQuery
DefaultSBALearningExample(SBA<?, I>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSBALearningExample
DefaultSPALearningExample(SPA<?, I>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSPALearningExample
DefaultSPMMLearningExample(SPMM<?, I, ?, O>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSPMMLearningExample
DefaultSSTLearningExample(A) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSSTLearningExample
DefaultSSTLearningExample(Alphabet, SubsequentialTransducer<?, I, ?, D>) - Constructor for class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSSTLearningExample
DefaultSSTPassiveLearningExample(Collection<DefaultQuery<I, Word<O>>>) - Constructor for class de.learnlib.testsupport.example.DefaultPassiveLearningExample.DefaultSSTPassiveLearningExample
defaultState() - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
defaultState() - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
DefensiveADS<S,I,O> - Class in de.learnlib.algorithm.adt.ads: A variant of the backtracking ADS search (see ADS, BacktrackingSearch), that works on partially defined automata.
DefensiveADSCalculator - Interface in de.learnlib.algorithm.adt.config.model
depth - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
deriveAcex(OutputInconsistency<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
deriveAcex(OutputInconsistency<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
deriveAcex(OutputInconsistency<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
deriveAcex(OutputInconsistency<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
determinize(State<HypLoc>, Word) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
DFABenchmarks - Class in de.learnlib.testsupport.example.dfa
DFABFEmptinessOracle - Class in de.learnlib.oracle.emptiness: A type-specific refinement of AbstractBFEmptinessOracle.
DFABFEmptinessOracle(MembershipOracle.DFAMembershipOracle, double) - Constructor for class de.learnlib.oracle.emptiness.DFABFEmptinessOracle: Delegates to AbstractBFEmptinessOracle(MembershipOracle, double).
DFABFInclusionOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of AbstractBFInclusionOracle.
DFABFInclusionOracle(MembershipOracle.DFAMembershipOracle, double) - Constructor for class de.learnlib.oracle.equivalence.DFABFInclusionOracle: Delegates to AbstractBFInclusionOracle(MembershipOracle, double).
DFACacheOracle - Class in de.learnlib.filter.cache.dfa: DFA cache.
DFACacheOracle.DFACacheOracleState - Class in de.learnlib.filter.cache.dfa
DFACaches - Class in de.learnlib.filter.cache.dfa: A factory for creating caches for DFA-based MembershipOracles.
DFACExFirstOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of CExFirstOracle.
DFACExFirstOracle() - Constructor for class de.learnlib.oracle.equivalence.DFACExFirstOracle: Delegates to CExFirstOracle().
DFACExFirstOracle(PropertyOracle.DFAPropertyOracle<I, ?>) - Constructor for class de.learnlib.oracle.equivalence.DFACExFirstOracle: Delegates to CExFirstOracle(PropertyOracle).
DFACExFirstOracle(Collection<? extends PropertyOracle.DFAPropertyOracle<I, ?>>) - Constructor for class de.learnlib.oracle.equivalence.DFACExFirstOracle: Delegates to CExFirstOracle(Collection).
DFACompleteExplorationEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of CompleteExplorationEQOracle.
DFACompleteExplorationEQOracle(MembershipOracle.DFAMembershipOracle, int) - Constructor for class de.learnlib.oracle.equivalence.DFACompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int).
DFACompleteExplorationEQOracle(MembershipOracle.DFAMembershipOracle, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFACompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int, int).
DFACompleteExplorationEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFACompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int, int, int).
DFACounterOracle - Class in de.learnlib.filter.statistic.oracle: A type-specific refinement of CounterOracle.
DFACounterOracle(MembershipOracle.DFAMembershipOracle) - Constructor for class de.learnlib.filter.statistic.oracle.DFACounterOracle: Delegates to CounterOracle(MembershipOracle).
DFACounterOracle(MembershipOracle.DFAMembershipOracle, String) - Constructor for class de.learnlib.filter.statistic.oracle.DFACounterOracle: Delegates to CounterOracle(MembershipOracle, String).
DFADisproveFirstOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of DisproveFirstOracle.
DFADisproveFirstOracle() - Constructor for class de.learnlib.oracle.equivalence.DFADisproveFirstOracle: Delegates to DisproveFirstOracle().
DFADisproveFirstOracle(PropertyOracle.DFAPropertyOracle<I, ?>) - Constructor for class de.learnlib.oracle.equivalence.DFADisproveFirstOracle: Delegates to DisproveFirstOracle(PropertyOracle).
DFADisproveFirstOracle(Collection<? extends PropertyOracle.DFAPropertyOracle<I, ?>>) - Constructor for class de.learnlib.oracle.equivalence.DFADisproveFirstOracle: Delegates to DisproveFirstOracle(Collection).
DFAEQOracleChain - Class in de.learnlib.oracle.equivalence: A type-specific refinement of EQOracleChain.
DFAEQOracleChain(EquivalenceOracle.DFAEquivalenceOracle...) - Constructor for class de.learnlib.oracle.equivalence.DFAEQOracleChain: Delegates to EQOracleChain(EquivalenceOracle[]).
DFAEQOracleChain(List<? extends EquivalenceOracle.DFAEquivalenceOracle>) - Constructor for class de.learnlib.oracle.equivalence.DFAEQOracleChain: Delegates to EQOracleChain(List).
DFAExperiment - Class in de.learnlib.util: A type-specific refinement of Experiment.
DFAExperiment(LearningAlgorithm.DFALearner, EquivalenceOracle.DFAEquivalenceOracle, Alphabet) - Constructor for class de.learnlib.util.DFAExperiment: Delegates to Experiment(LearningAlgorithm, EquivalenceOracle, Alphabet).
DFAExperiment(LearningAlgorithm.DFALearner, EquivalenceOracle.DFAEquivalenceOracle, Alphabet, InputModelSerializer<I, ? super DFA<?, I>>) - Constructor for class de.learnlib.util.DFAExperiment: Delegates to Experiment(LearningAlgorithm, EquivalenceOracle, Alphabet, InputModelSerializer).
DFAFinitePropertyOracle<I,P> - Class in de.learnlib.oracle.property: A type-specific refinement of BasePropertyOracle.
DFAFinitePropertyOracle(P, InclusionOracle.DFAInclusionOracle, EmptinessOracle.DFAEmptinessOracle, ModelChecker.DFAModelChecker<I, P, DFA<?, I>>) - Constructor for class de.learnlib.oracle.property.DFAFinitePropertyOracle: Delegates to BasePropertyOracle(java.lang.Object, InclusionOracle, EmptinessOracle, ModelChecker).
DFAHashCacheOracle - Class in de.learnlib.filter.cache.dfa: A LearningCacheOracle.DFALearningCacheOracle that uses a Map for internal cache organization.
DFAHashCacheOracle.DFAHashCacheOracleState - Class in de.learnlib.filter.cache.dfa
DFAHashCacheOracleState(Map<Word, Boolean>) - Constructor for class de.learnlib.filter.cache.dfa.DFAHashCacheOracle.DFAHashCacheOracleState
DFAIncrementalWMethodEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of IncrementalWMethodEQOracle.
DFAIncrementalWMethodEQOracle(MembershipOracle.DFAMembershipOracle, Alphabet) - Constructor for class de.learnlib.oracle.equivalence.DFAIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet).
DFAIncrementalWMethodEQOracle(MembershipOracle.DFAMembershipOracle, Alphabet, int) - Constructor for class de.learnlib.oracle.equivalence.DFAIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet, int).
DFAIncrementalWMethodEQOracle(MembershipOracle.DFAMembershipOracle, Alphabet, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFAIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet, int, int).
DFALassoEmptinessOracleImpl<S,I> - Class in de.learnlib.oracle.emptiness: A type-specific refinement of LassoEmptinessOracleImpl.
DFALassoEmptinessOracleImpl(OmegaMembershipOracle.DFAOmegaMembershipOracle<S, I>) - Constructor for class de.learnlib.oracle.emptiness.DFALassoEmptinessOracleImpl: Delegates to LassoEmptinessOracleImpl(OmegaMembershipOracle).
DFALassoPropertyOracle<I,P> - Class in de.learnlib.oracle.property: A type-specific refinement of BasePropertyOracle.
DFALassoPropertyOracle(P, InclusionOracle.DFAInclusionOracle, LassoEmptinessOracle.DFALassoEmptinessOracle, ModelCheckerLasso.DFAModelCheckerLasso<I, P>) - Constructor for class de.learnlib.oracle.property.DFALassoPropertyOracle: Delegates to BasePropertyOracle(java.lang.Object, InclusionOracle, de.learnlib.oracle.EmptinessOracle, net.automatalib.modelchecking.ModelChecker).
DFALearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.DFALearnerVariantListImpl
DFALockableOracle - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
DFALockableOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.testsupport.it.util.DFALockableOracle: Delegates to LockableOracle(MembershipOracle).
DFALoggingPropertyOracle<I,P> - Class in de.learnlib.oracle.property: A type-specific refinement of LoggingPropertyOracle.
DFALoggingPropertyOracle(PropertyOracle.DFAPropertyOracle<I, P>) - Constructor for class de.learnlib.oracle.property.DFALoggingPropertyOracle: Delegates to LoggingPropertyOracle(PropertyOracle).
DFAPassiveLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.PassiveLearnerVariantListImpl.DFAPassiveLearnerVariantListImpl
DFAPropertyOracleChain<I,P> - Class in de.learnlib.oracle.property: A type-specific refinement of PropertyOracleChain.
DFAPropertyOracleChain(PropertyOracle.DFAPropertyOracle<I, P>...) - Constructor for class de.learnlib.oracle.property.DFAPropertyOracleChain: Delegates to PropertyOracleChain(PropertyOracle[]).
DFAPropertyOracleChain(Collection<? extends PropertyOracle.DFAPropertyOracle<I, P>>) - Constructor for class de.learnlib.oracle.property.DFAPropertyOracleChain: Delegates to PropertyOracleChain(Collection).
DFARandomWMethodEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWMethodEQOracle.
DFARandomWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int).
DFARandomWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int).
DFARandomWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int, int).
DFARandomWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int, Random, int).
DFARandomWordsEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWordsEQOracle.
DFARandomWordsEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int).
DFARandomWordsEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int, Random) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int, Random).
DFARandomWordsEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int, Random, int).
DFARandomWpMethodEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWpMethodEQOracle.
DFARandomWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int).
DFARandomWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int).
DFARandomWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int, int).
DFARandomWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.DFARandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int, Random, int).
DFARefinementCounterLearner - Class in de.learnlib.filter.statistic.learner: A type-specific refinement of RefinementCounterLearner.
DFARefinementCounterLearner(LearningAlgorithm.DFALearner) - Constructor for class de.learnlib.filter.statistic.learner.DFARefinementCounterLearner: Delegates to RefinementCounterLearner(LearningAlgorithm).
DFARefinementCounterLearner(LearningAlgorithm.DFALearner, String) - Constructor for class de.learnlib.filter.statistic.learner.DFARefinementCounterLearner: Delegates to RefinementCounterLearner(LearningAlgorithm, String).
DFASimulatorEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of SimulatorEQOracle.
DFASimulatorEQOracle(DFA<?, I>) - Constructor for class de.learnlib.oracle.equivalence.DFASimulatorEQOracle: Delegates to SimulatorEQOracle(net.automatalib.automaton.UniversalDeterministicAutomaton.RegularAutomaton).
DFASimulatorOmegaOracle(DFA<S, I>) - Constructor for class de.learnlib.oracle.membership.SimulatorOmegaOracle.DFASimulatorOmegaOracle
DFASimulatorOracle - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
DFASimulatorOracle(DFA<?, I>) - Constructor for class de.learnlib.oracle.membership.DFASimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
DFAWMethodEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of WMethodEQOracle.
DFAWMethodEQOracle(MembershipOracle.DFAMembershipOracle) - Constructor for class de.learnlib.oracle.equivalence.DFAWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle).
DFAWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int) - Constructor for class de.learnlib.oracle.equivalence.DFAWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int).
DFAWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFAWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int, int).
DFAWMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFAWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int, int, int).
DFAWpMethodEQOracle - Class in de.learnlib.oracle.equivalence: A type-specific refinement of WpMethodEQOracle.
DFAWpMethodEQOracle(MembershipOracle.DFAMembershipOracle) - Constructor for class de.learnlib.oracle.equivalence.DFAWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle).
DFAWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int) - Constructor for class de.learnlib.oracle.equivalence.DFAWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int).
DFAWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFAWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int, int).
DFAWpMethodEQOracle(MembershipOracle.DFAMembershipOracle, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.DFAWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int, int, int).
DFAWrapper<S extends AbstractBasePTAState<S,Boolean,Void>,I> - Class in de.learnlib.datastructure.pta.wrapper
DFAWrapper(Alphabet, BasePTA<S, Boolean, Void>) - Constructor for class de.learnlib.datastructure.pta.wrapper.DFAWrapper
DiscriminationTreeIterators - Class in de.learnlib.datastructure.discriminationtree.iterators: Factory methods for several kinds of discrimination tree node iterators.
discriminator - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
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.driver.AbstractContextExecutableInputSUL
disposeContext(C) - Method in class de.learnlib.driver.ContextExecutableInputSUL
disposeContext(C) - Method in interface de.learnlib.sul.ContextHandler
disposeSystemStates() - Method in class de.learnlib.filter.reuse.tree.ReuseTree: This method removes all system states from the tree.
disprove(A, Collection<? extends I>) - Method in class de.learnlib.oracle.property.BasePropertyOracle
disprove(A, Collection<? extends I>) - Method in class de.learnlib.oracle.property.LoggingPropertyOracle: Try to disprove this propertyOracle, and log whenever it is disproved.
disprove(A, Collection<? extends I>) - Method in class de.learnlib.oracle.property.PropertyOracleChain
disprove(A, Collection<? extends I>) - Method in interface de.learnlib.oracle.PropertyOracle: Try to disprove the property with the given hypothesis.
disprove(SBA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.property.SBAPropertyOracle
DisproveFirstOracle<A extends Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: The strategy of this black-box oracle is to first try to disprove all properties before finding a counter example to the given hypothesis.
DisproveFirstOracle() - Constructor for class de.learnlib.oracle.equivalence.DisproveFirstOracle
DisproveFirstOracle(PropertyOracle<I, ? super A, ?, D>) - Constructor for class de.learnlib.oracle.equivalence.DisproveFirstOracle
DisproveFirstOracle(Collection<? extends PropertyOracle<I, ? super A, ?, D>>) - Constructor for class de.learnlib.oracle.equivalence.DisproveFirstOracle
doFindCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.property.BasePropertyOracle
doFindCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.property.LoggingPropertyOracle: Try to find a counterexample to the given hypothesis, and log whenever such a spurious counterexample is found.
doFindCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.property.PropertyOracleChain
doFindCounterExample(A, Collection<? extends I>) - Method in interface de.learnlib.oracle.PropertyOracle: Unconditionally find a counterexample, i.e., regardless of whether the property can be disproved.
doFindCounterExample(SBA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.property.SBAPropertyOracle
doRefineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
doRefineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lstar.AbstractLStar
DTInnerNode<I,D> - Class in de.learnlib.algorithm.lambda.ttt.dt
DTInnerNode(DTInnerNode<I, D>, AbstractDecisionTree<I, D>, Children<I, D>, STNode) - Constructor for class de.learnlib.algorithm.lambda.ttt.dt.DTInnerNode
DTLeaf<I,D> - Class in de.learnlib.algorithm.lambda.ttt.dt
DTLeaf(DTInnerNode<I, D>, AbstractDecisionTree<I, D>, PTNode<I, D>) - Constructor for class de.learnlib.algorithm.lambda.ttt.dt.DTLeaf
dtNode - Variable in class de.learnlib.algorithm.kv.StateInfo
DTNode - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Specific discrimination tree node implementation.
DTNode(DTNode, boolean) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
DTNode(DTNode, boolean, HypLoc) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
dtree - Variable in class de.learnlib.algorithm.lambda.ttt.TTTLambdaState
dtree - Variable in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
dtree - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
dtree() - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
dtree() - Method in class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
dtree() - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
DTree - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Specific discrimination tree implementation.
DTree(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTree
DynamicParallelAdaptiveOracle<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessor for AdaptiveMembershipOracles that implements ParallelAdaptiveOracle.
DynamicParallelAdaptiveOracle(Supplier<? extends AdaptiveMembershipOracle<I, O>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelAdaptiveOracle
DynamicParallelAdaptiveOracleBuilder<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessorBuilder for AdaptiveMembershipOracles.
DynamicParallelAdaptiveOracleBuilder(Collection<? extends AdaptiveMembershipOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelAdaptiveOracleBuilder
DynamicParallelAdaptiveOracleBuilder(Supplier<? extends AdaptiveMembershipOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelAdaptiveOracleBuilder
DynamicParallelOmegaOracle<S,I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessor for OmegaMembershipOracles that implements ParallelOmegaOracle.
DynamicParallelOmegaOracle(Supplier<? extends OmegaMembershipOracle<S, I, D>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracle
DynamicParallelOmegaOracleBuilder<S,I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessorBuilder for OmegaMembershipOracles.
DynamicParallelOmegaOracleBuilder(Collection<? extends OmegaMembershipOracle<S, I, D>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracleBuilder
DynamicParallelOmegaOracleBuilder(Supplier<? extends OmegaMembershipOracle<S, I, D>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracleBuilder
DynamicParallelOracle<I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessor for MembershipOracles that implements ParallelOracle.
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: A specialized AbstractDynamicBatchProcessorBuilder for MembershipOracles.
DynamicParallelOracleBuilder(Collection<? extends MembershipOracle<I, D>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOracleBuilder
DynamicParallelOracleBuilder(Supplier<? extends MembershipOracle<I, D>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelOracleBuilder
DynamicParallelTimedQueryOracle<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessor for TimedQueryOracles that implements ParallelTimedQueryOracle.
DynamicParallelTimedQueryOracle(Supplier<? extends TimedQueryOracle<I, O>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelTimedQueryOracle
DynamicParallelTimedQueryOracleBuilder<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractDynamicBatchProcessorBuilder for TimedQueryOracles.
DynamicParallelTimedQueryOracleBuilder(Collection<? extends TimedQueryOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelTimedQueryOracleBuilder
DynamicParallelTimedQueryOracleBuilder(Supplier<? extends TimedQueryOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.DynamicParallelTimedQueryOracleBuilder
DynamicSymbolComparator - Class in de.learnlib.filter.cache
DynamicSymbolComparator() - Constructor for class de.learnlib.filter.cache.DynamicSymbolComparator

E

EarlyExitEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.mealy: This EquivalenceOracle.MealyEquivalenceOracle evaluates test words generated by the given TestWordGenerator on a symbol-by-symbol basis (via the provided AdaptiveMembershipOracle) and returns a counterexample on the first observed mismatch.
EarlyExitEQOracle(AdaptiveMembershipOracle<I, O>, TestWordGenerator<? super MealyMachine<?, I, ?, O>, I>) - Constructor for class de.learnlib.oracle.equivalence.mealy.EarlyExitEQOracle
effect(int) - Method in class de.learnlib.acex.AbstractBaseCounterexample
effect(int) - Method in interface de.learnlib.acex.AbstractCounterexample
EmptinessOracle<A extends Output<I,D>,I,D> - Interface in de.learnlib.oracle: Decides whether the intersection of the language of a given hypothesis and some other language (e.g., from a SUL) is empty.
EmptinessOracle.DFAEmptinessOracle - Interface in de.learnlib.oracle
EmptinessOracle.MealyEmptinessOracle<I,O> - Interface in de.learnlib.oracle
empty() - Static method in class de.learnlib.algorithm.adt.model.ExtensionResult: Utility method, returning the (singleton) object indicating, no result could be computed.
EMPTY - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Output
enabledSystemStateInvalidation() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
ensureInputCapacity(int) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
ensureInputCapacity(int) - Method in class de.learnlib.algorithm.ttt.base.TTTState
ensureInputCapacity(int) - Method in class de.learnlib.datastructure.observationtable.RowImpl
ensureSuffixCompliancy(List<Word>) - Static method in class de.learnlib.algorithm.lstar.dfa.LStarDFAUtil
ensureSuffixCompliancy(List<Word>) - Static method in class de.learnlib.algorithm.lstar.moore.LStarMooreUtil
ensureSuffixCompliancy(List<Word>, Alphabet, boolean) - Static method in class de.learnlib.algorithm.lstar.mealy.LStarMealyUtil
entrySet() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
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
equals(Object) - Method in class de.learnlib.driver.reflect.Error
equals(Object) - Method in class de.learnlib.driver.reflect.ReturnValue
equals(Object) - Method in class de.learnlib.query.OmegaQuery
equals(Object) - Method in class de.learnlib.query.Query
equals(Object) - Method in class de.learnlib.statistic.StatisticsKey
equals(Object) - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class de.learnlib.oracle.TimedQueryOracle.TimerQueryResult: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class de.learnlib.time.MMLTModelParams: Indicates whether some other object is "equal to" this one.
equivalenceAlgorithm - Variable in class de.learnlib.util.Experiment
EquivalenceOracle<A,I,D> - Interface in de.learnlib.oracle: An equivalence oracle, which checks hypothesis automata against the (possibly unknown) system under learning (SUL).
EquivalenceOracle.DFAEquivalenceOracle - Interface in de.learnlib.oracle: A specialization of the EquivalenceOracle interface for a DFA learning scenario.
EquivalenceOracle.MealyEquivalenceOracle<I,O> - Interface in de.learnlib.oracle: A specialization of the EquivalenceOracle interface for a Mealy learning scenario.
EquivalenceOracle.MMLTEquivalenceOracle<I,O> - Interface in de.learnlib.oracle: A specialization of the EquivalenceOracle interface for an MMLT learning scenario.
EquivalenceOracle.MooreEquivalenceOracle<I,O> - Interface in de.learnlib.oracle: A specialization of the EquivalenceOracle interface for a Moore learning scenario.
Error - Class in de.learnlib.driver.reflect: A wrapper for representing an exception-based method output via its Class.getSimpleName().
Error(Throwable) - Constructor for class de.learnlib.driver.reflect.Error
EVENT - Static variable in class de.learnlib.logging.Category: Marker for event-related properties.
EVICT_NEWEST - Enum constant in enum class de.learnlib.filter.reuse.tree.BoundedDeque.EvictPolicy: Evict the newest element, that is already *in* the queue (i.e., in any case inserts the new element).
EVICT_OLDEST - Enum constant in enum class de.learnlib.filter.reuse.tree.BoundedDeque.EvictPolicy: Evict the oldest element, i.e., the one at the head of the queue/bottom of the stack.
evictPolicy() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
ExampleAngluin - Class in de.learnlib.testsupport.example.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.testsupport.example.dfa.ExampleAngluin
ExampleCoffeeMachine - Class in de.learnlib.testsupport.example.mealy: This example represents the Coffee Machine example from Steffen et al.
ExampleCoffeeMachine() - Constructor for class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
ExampleCoffeeMachine.Input - Enum Class in de.learnlib.testsupport.example.mealy
ExampleGrid - Class in de.learnlib.testsupport.example.mealy: This class generates a Mealy machine consisting of a two-dimensional grid of states.
ExampleGrid(int, int) - Constructor for class de.learnlib.testsupport.example.mealy.ExampleGrid
ExampleKeylock - Class in de.learnlib.testsupport.example.dfa
ExampleKeylock(int, boolean, int) - Constructor for class de.learnlib.testsupport.example.dfa.ExampleKeylock
ExamplePalindrome - Class in de.learnlib.testsupport.example.sba
ExamplePalindrome - Class in de.learnlib.testsupport.example.spa
ExamplePalindrome - Class in de.learnlib.testsupport.example.spmm
ExamplePalindrome() - Constructor for class de.learnlib.testsupport.example.sba.ExamplePalindrome
ExamplePalindrome() - Constructor for class de.learnlib.testsupport.example.spa.ExamplePalindrome
ExamplePalindrome() - Constructor for class de.learnlib.testsupport.example.spmm.ExamplePalindrome
ExamplePaulAndMary - Class in de.learnlib.testsupport.example.dfa: This class implements a sad love story - DFA style.
ExamplePaulAndMary() - Constructor for class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
ExampleRandomDFA - Class in de.learnlib.testsupport.example.dfa
ExampleRandomDFA(Random, int, int) - Constructor for class de.learnlib.testsupport.example.dfa.ExampleRandomDFA
ExampleRandomMealy<I,O> - Class in de.learnlib.testsupport.example.mealy
ExampleRandomMealy(Random, Alphabet, int, O...) - Constructor for class de.learnlib.testsupport.example.mealy.ExampleRandomMealy
ExampleRandomMoore<I,O> - Class in de.learnlib.testsupport.example.moore
ExampleRandomMoore(Random, Alphabet, int, O...) - Constructor for class de.learnlib.testsupport.example.moore.ExampleRandomMoore
ExampleRandomOneSEVPA - Class in de.learnlib.testsupport.example.vpa
ExampleRandomOneSEVPA(Random, VPAlphabet, int, double, double) - Constructor for class de.learnlib.testsupport.example.vpa.ExampleRandomOneSEVPA
ExampleRandomSBA - Class in de.learnlib.testsupport.example.sba
ExampleRandomSBA(Random, ProceduralInputAlphabet, int) - Constructor for class de.learnlib.testsupport.example.sba.ExampleRandomSBA
ExampleRandomSPA - Class in de.learnlib.testsupport.example.spa
ExampleRandomSPA(Random, ProceduralInputAlphabet, int) - Constructor for class de.learnlib.testsupport.example.spa.ExampleRandomSPA
ExampleRandomSPMM<I,O> - Class in de.learnlib.testsupport.example.spmm
ExampleRandomSPMM(Random, ProceduralInputAlphabet, ProceduralOutputAlphabet<O>, int) - Constructor for class de.learnlib.testsupport.example.spmm.ExampleRandomSPMM
ExampleRandomSST<I,O> - Class in de.learnlib.testsupport.example.sst
ExampleRandomSST(Random, Alphabet, int, Collection<Word<O>>, Collection<Word<O>>) - Constructor for class de.learnlib.testsupport.example.sst.ExampleRandomSST
ExampleRandomStateLocalInputMealy<I,O> - Class in de.learnlib.testsupport.example.mealy
ExampleRandomStateLocalInputMealy(Random, Alphabet, int, O, O...) - Constructor for class de.learnlib.testsupport.example.mealy.ExampleRandomStateLocalInputMealy
ExampleShahbazGroz - Class in de.learnlib.testsupport.example.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.testsupport.example.mealy.ExampleShahbazGroz
ExampleStack - Class in de.learnlib.testsupport.example.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.testsupport.example.mealy.ExampleStack
ExampleStack.Input - Enum Class in de.learnlib.testsupport.example.mealy
ExampleStack.Output - Enum Class in de.learnlib.testsupport.example.mealy
ExampleTinyDFA - Class in de.learnlib.testsupport.example.dfa: Tiny DFA with language (ab)*.
ExampleTinyDFA() - Constructor for class de.learnlib.testsupport.example.dfa.ExampleTinyDFA
ExampleTinyMealy - Class in de.learnlib.testsupport.example.mealy: Tiny machine with the language (a1a2)^*.
ExampleTinyMealy() - Constructor for class de.learnlib.testsupport.example.mealy.ExampleTinyMealy
ExecutableInput<O> - Interface in de.learnlib.sul: An executable input is an input that performs a specific action on a SUL itself.
ExecutableInputSUL,O> - Class in de.learnlib.driver: A SUL that executes ExecutableInput symbols.
ExecutableInputSUL() - Constructor for class de.learnlib.driver.ExecutableInputSUL
execute() - Method in interface de.learnlib.sul.ExecutableInput: Executes this input symbol.
execute(C) - Method in interface de.learnlib.sul.ContextExecutableInput: Executes this input symbol with a given context.
execute(Object) - Method in class de.learnlib.driver.reflect.MethodInput
EXHAUSTIVE_BEST_EFFORT - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
EXHAUSTIVE_MIN_LENGTH - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
EXHAUSTIVE_MIN_SIZE - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
ExhaustiveReplacer - Class in de.learnlib.algorithm.adt.config.model.replacer
ExhaustiveReplacer(ADSCalculator) - Constructor for class de.learnlib.algorithm.adt.config.model.replacer.ExhaustiveReplacer
Experiment<A extends FiniteRepresentation,I,D> - Class in de.learnlib.util: Runs a learning experiment.
Experiment(LearningAlgorithm<? extends A, I, D>, EquivalenceOracle<? super A, I, D>, Alphabet) - Constructor for class de.learnlib.util.Experiment: Constructor.
Experiment(LearningAlgorithm<? extends A, I, D>, EquivalenceOracle<? super A, I, D>, Alphabet, InputModelSerializer<I, ? super A>) - Constructor for class de.learnlib.util.Experiment: Constructor.
ExplicitAAARLearnerDFA<L extends LearningAlgorithm.DFALearner<CI> & SupportsGrowingAlphabet<CI>,AI,CI> - Class in de.learnlib.algorithm.aaar.explicit: A DFA-specific refinement of AbstractExplicitAAARLearner.
ExplicitAAARLearnerDFA(LearnerConstructor<L, CI, Boolean>, MembershipOracle<CI, Boolean>, ExplicitInitialAbstraction<AI, CI>, Function<AI, AI>) - Constructor for class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerDFA: Constructor.
ExplicitAAARLearnerMealy<L extends LearningAlgorithm.MealyLearner<CI,O> & SupportsGrowingAlphabet<CI>,AI,CI,O> - Class in de.learnlib.algorithm.aaar.explicit: A MealyMachine-specific refinement of AbstractExplicitAAARLearner.
ExplicitAAARLearnerMealy(LearnerConstructor<L, CI, Word<O>>, MembershipOracle<CI, Word<O>>, ExplicitInitialAbstraction<AI, CI>, Function<AI, AI>) - Constructor for class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerMealy: Constructor.
ExplicitAAARLearnerMoore<L extends LearningAlgorithm.MooreLearner<CI,O> & SupportsGrowingAlphabet<CI>,AI,CI,O> - Class in de.learnlib.algorithm.aaar.explicit: A LearningAlgorithm.MooreLearner-specific refinement of AbstractExplicitAAARLearner.
ExplicitAAARLearnerMoore(LearnerConstructor<L, CI, Word<O>>, MembershipOracle<CI, Word<O>>, ExplicitInitialAbstraction<AI, CI>, Function<AI, AI>) - Constructor for class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerMoore: Constructor.
ExplicitAbstractionTree<AI,CI,D> - Class in de.learnlib.algorithm.aaar.abstraction
ExplicitAbstractionTree(AI, CI, MembershipOracle<CI, D>, Function<AI, AI>) - Constructor for class de.learnlib.algorithm.aaar.abstraction.ExplicitAbstractionTree
ExplicitInitialAbstraction<AI,CI> - Interface in de.learnlib.algorithm.aaar: This interface denotes an Abstraction that additionally provides an initial classification of abstract input symbols.
exploreFrontier(Collection<Word>) - Method in class de.learnlib.algorithm.lsharp.LSOracle
exploreFrontier(Word, I, Collection<Word>) - Method in class de.learnlib.algorithm.lsharp.LSOracle
EXPONENTIAL_BWD - Static variable in class de.learnlib.acex.AcexAnalyzers: Analyzer that searches for a suffix index using exponential search.
EXPONENTIAL_FWD - Static variable in class de.learnlib.acex.AcexAnalyzers
exponentialSearchBwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.AcexAnalysisAlgorithms: Search for a suffix index using an exponential search.
exponentialSearchFwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.AcexAnalysisAlgorithms
EXTEND_BEST_EFFORT - Static variable in class de.learnlib.algorithm.adt.config.ADTExtenders
EXTEND_PARENT - Static variable in class de.learnlib.algorithm.adt.config.LeafSplitters
extendLeaf(ADTNode<S, I, O>, Word, Word<O>, Word<O>, LeafSplitter) - Method in class de.learnlib.algorithm.adt.adt.ADT: Splitting a leaf node by extending the trace leading into the node to split.
ExtensibleLStarDFA - Class in de.learnlib.algorithm.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, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA: Constructor.
ExtensibleLStarDFA(Alphabet, MembershipOracle<I, Boolean>, List<Word>, ObservationTableCEXHandler<? super I, ? super Boolean>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA: Constructor.
ExtensibleLStarDFA(Alphabet, MembershipOracle<I, Boolean>, List<Word>, List<Word>, ObservationTableCEXHandler<? super I, ? super Boolean>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA: Constructor.
ExtensibleLStarDFABuilder - Class in de.learnlib.algorithm.lstar.dfa: A builder for constructing ExtensibleLStarDFA instances.
ExtensibleLStarDFABuilder() - Constructor for class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Creates a new builder (and may set default values for some parameters).
ExtensibleLStarMealy<I,O> - Class in de.learnlib.algorithm.lstar.mealy: A MealyMachine-based specialization of the extensible L* learner.
ExtensibleLStarMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy: Constructor.
ExtensibleLStarMealy(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, ObservationTableCEXHandler<? super I, ? super Word<O>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy: Constructor.
ExtensibleLStarMealy(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, List<Word>, ObservationTableCEXHandler<? super I, ? super Word<O>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy: Constructor.
ExtensibleLStarMealyBuilder<I,O> - Class in de.learnlib.algorithm.lstar.mealy: A builder for constructing ExtensibleLStarMealy instances.
ExtensibleLStarMealyBuilder() - Constructor for class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Creates a new builder (and may set default values for some parameters).
ExtensibleLStarMMLT<I,O> - Class in de.learnlib.algorithm.lstar.mmlt: An L*-based leaner for inferring MMLTs.
ExtensibleLStarMMLT(Alphabet, MMLTModelParams<O>, TimedQueryOracle<I, O>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: Instantiates a new learner.
ExtensibleLStarMMLT(Alphabet, MMLTModelParams<O>, TimedQueryOracle<I, O>, List<Word<TimedInput>>, ClosingStrategy<? super TimedInput, ? super Word<TimedOutput<O>>>, RefutableSymbolFilter<TimedInput, InputSymbol>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: Instantiates a new learner.
ExtensibleLStarMMLTBuilder<I,O> - Class in de.learnlib.algorithm.lstar.mmlt: A builder for constructing ExtensibleLStarMMLT instances.
ExtensibleLStarMMLTBuilder() - Constructor for class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Creates a new builder (and may set default values for some parameters).
ExtensibleLStarMoore<I,O> - Class in de.learnlib.algorithm.lstar.moore: A MooreMachine-based specialization of the extensible L* learner.
ExtensibleLStarMoore(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore: Constructor.
ExtensibleLStarMoore(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, ObservationTableCEXHandler<? super I, ? super Word<O>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore: Constructor.
ExtensibleLStarMoore(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, List<Word>, ObservationTableCEXHandler<? super I, ? super Word<O>>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore: Constructor.
ExtensibleLStarMooreBuilder<I,O> - Class in de.learnlib.algorithm.lstar.moore: A builder for constructing ExtensibleLStarMoore instances.
ExtensibleLStarMooreBuilder() - Constructor for class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Creates a new builder (and may set default values for some parameters).
ExtensionResult<S,I,O> - Class in de.learnlib.algorithm.adt.model: A class that describes the possible result an ADTExtender can return.
ExtensionResult(ADTNode<S, I, O>) - Constructor for class de.learnlib.algorithm.adt.model.ExtensionResult
ExtensionResult(DefaultQuery<I, Word<O>>) - Constructor for class de.learnlib.algorithm.adt.model.ExtensionResult

F

failureOutputs() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
FalseIgnoreResult<I,O> - Class in de.learnlib.algorithm.lstar.mmlt.cex.results: The specified symbol is considered to be falsely ignored by the symbol filter.
FalseIgnoreResult(Integer, InputSymbol) - Constructor for class de.learnlib.algorithm.lstar.mmlt.cex.results.FalseIgnoreResult
fetchIncoming() - Method in class de.learnlib.algorithm.kv.StateInfo
fetchNonTreeIncoming(Collection<? super HTransition<I, O, SP, TP>>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
fetchPTA() - Method in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI: Fetches the initial PTA for model construction.
fetchPTA() - Method in class de.learnlib.algorithm.rpni.BlueFringeEDSMDFA
fetchPTA() - Method in class de.learnlib.algorithm.rpni.BlueFringeMDLDFA
fetchPTA() - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIDFA
fetchPTA() - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIMealy
fetchPTA() - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIMoore
fetchSystemState(boolean) - Method in class de.learnlib.filter.reuse.tree.ReuseNode: Retrieve a system state.
fetchSystemState(Word) - Method in class de.learnlib.filter.reuse.tree.ReuseTree: Returns a reusable ReuseNode.NodeResult with system state accessed by the given access sequence. or null if none such exists.
FIFO - Enum constant in enum class de.learnlib.filter.reuse.tree.BoundedDeque.AccessPolicy: First-in first-out.
FIFO_ORDER - Enum constant in enum class de.learnlib.datastructure.pta.config.DefaultProcessingOrders: Processes blue states in a first-in, first-out (queue-like) manner.
fillInStackTrace() - Method in exception de.learnlib.algorithm.adt.api.PartialTransitionAnalyzer.HypothesisModificationException
FilterResponse - Enum Class in de.learnlib.filter: Describes the possible responses of a SymbolFilter.
finalizeAny() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: Chooses a block root, and finalizes the corresponding discriminator.
finalizeAny() - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
FIND_LINEAR - Static variable in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
FIND_LINEAR - Static variable in class de.learnlib.counterexample.GlobalSuffixFinders: Adds the single suffix found by the access sequence transformation in ascending linear order.
FIND_LINEAR - Static variable in class de.learnlib.counterexample.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.algorithm.lstar.ce.ObservationTableCEXHandlers
FIND_LINEAR_ALLSUFFIXES - Static variable in class de.learnlib.counterexample.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.algorithm.lstar.ce.ObservationTableCEXHandlers
FIND_LINEAR_REVERSE - Static variable in class de.learnlib.counterexample.GlobalSuffixFinders: Adds the single suffix found by the access sequence transformation in descending linear order.
FIND_LINEAR_REVERSE - Static variable in class de.learnlib.counterexample.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.algorithm.lstar.ce.ObservationTableCEXHandlers
FIND_LINEAR_REVERSE_ALLSUFFIXES - Static variable in class de.learnlib.counterexample.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 class de.learnlib.filter.statistic.oracle.CounterEQOracle
findCounterExample(A, Collection<? extends I>) - Method in interface de.learnlib.oracle.AutomatonOracle: Finds a counter example to the given hypothesis.
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.emptiness.AbstractBFEmptinessOracle
findCounterExample(A, Collection<? extends I>) - Method in interface de.learnlib.oracle.EmptinessOracle
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.AbstractBFInclusionOracle
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.CExFirstOracle
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.DisproveFirstOracle
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.EQOracleChain
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.mealy.SymbolEQOracleWrapper
findCounterExample(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SimulatorEQOracle
findCounterExample(A, Collection<? extends I>) - Method in interface de.learnlib.oracle.EquivalenceOracle: Searches for a counterexample disproving the subjected hypothesis.
findCounterExample(A, Collection<? extends I>) - Method in interface de.learnlib.oracle.PropertyOracle: Try to find a counterexample to the given hypothesis if the property can not be disproved.
findCounterExample(A, Collection<? extends I>, int) - Method in interface de.learnlib.oracle.AutomatonOracle: Find a counterexample for a given hypothesis.
findCounterExample(L, Collection<? extends I>) - Method in class de.learnlib.oracle.emptiness.LassoEmptinessOracleImpl
findCounterExample(L, Collection<? extends I>) - Method in interface de.learnlib.oracle.LassoOracle
findCounterExample(SuffixOutput<I, D>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.SampleSetEQOracle
findCounterExample(MMLT<?, I, ?, O>, Collection<? extends TimedInput>) - Method in class de.learnlib.filter.cache.mmlt.MMLTCacheConsistencyTest
findCounterExample(MMLT<?, I, ?, O>, Collection<? extends TimedInput>) - Method in class de.learnlib.oracle.equivalence.mmlt.RandomWpMethodEQOracle
findCounterExample(MMLT<?, I, ?, O>, Collection<? extends TimedInput>) - Method in class de.learnlib.oracle.equivalence.mmlt.ResetSearchEQOracle
findCounterExample(MMLT<?, I, ?, O>, Collection<? extends TimedInput>) - Method in class de.learnlib.oracle.equivalence.mmlt.SimulatorEQOracle
findCounterExample(SBA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.sba.SimulatorEQOracle
findCounterExample(SPA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.spa.SimulatorEQOracle
findCounterExample(SPMM<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.spmm.SimulatorEQOracle
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.filter.cache.mealy.MealyCacheConsistencyTest
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.filter.cache.mealy.ThreadSafeMealyCacheConsistencyTest
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.mealy.EarlyExitEQOracle
findCounterExample(MealyMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.mealy.RandomWalkEQOracle
findCounterExample(MooreMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.filter.cache.moore.MooreCacheConsistencyTest
findCounterExample(MooreMachine<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.filter.cache.moore.ThreadSafeMooreCacheConsistencyTest
findCounterExample(OneSEVPA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.vpa.SimulatorEQOracle
findDistinguishingSuffix(Inconsistency) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
findDistinguishingSuffix(Row, Row) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable: Returns a distinguishing suffix that distinguishes the two access sequences represented by the labels of the given rows.
findDistinguishingSuffixIndex(Inconsistency) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable: Returns a suffix (column) index which uncovers an observation discrepancy described by a given inconsistency.
findDistinguishingSuffixIndex(Row, Row) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable: Returns a suffix (column) index which uncovers an observation discrepancy between the two access sequences represented by the labels of the given rows.
findInconsistency() - Method in class de.learnlib.algorithm.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.algorithm.adt.adt.ADT: Return the lowest common ancestor for the given two nodes.
findLinear(Query<I, D>, AccessSequenceTransformer, SuffixOutput<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.counterexample.LocalSuffixFinders: Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations in linear ascending order.
findLinear(Query<I, D>, AccessSequenceTransformer, SuffixOutput<I, D>, MembershipOracle<I, D>, boolean) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Returns the suffix (plus all of its suffixes, if allSuffixes is true) found by the access sequence transformation in ascending linear order.
findLinearReverse(Query<I, D>, AccessSequenceTransformer, SuffixOutput<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.counterexample.LocalSuffixFinders: Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations in linear descending order.
findLinearReverse(Query<I, D>, AccessSequenceTransformer, SuffixOutput<I, D>, MembershipOracle<I, D>, boolean) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Returns the suffix (plus all of its suffixes, if allSuffixes is true) found by the access sequence transformation in descending linear order.
findMalerPnueli(Query<I, D>) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Returns all suffixes of the counterexample word as distinguishing suffixes, as suggested by Maler & Pnueli.
findMismatch(MealyTransitionSystem<?, I, ?, O>, Word, 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
findMismatch(Word<O>, Word<O>) - Static method in class de.learnlib.util.moore.MooreUtil
findOutputInconsistency() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
findOutputInconsistency() - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
findRivestSchapire(Query<I, D>, AccessSequenceTransformer, SuffixOutput<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.counterexample.LocalSuffixFinders: Searches for a distinguishing suffixes by checking for counterexample yielding access sequence transformations using a binary search, as proposed by Rivest & Schapire.
findRivestSchapire(Query<I, D>, AccessSequenceTransformer, SuffixOutput<I, D>, MembershipOracle<I, D>, boolean) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Returns the suffix (plus all of its suffixes, if allSuffixes is true) found by the binary search access sequence transformation.
findSeparatingWord(S, S) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Find a separating word for two hypothesis states.
findSeparatingWord(S, S, Word) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Find a separating word for two hypothesis states, after applying given input sequence first.
findShahbaz(Query<I, D>, AccessSequenceTransformer) - Static method in class de.learnlib.counterexample.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.counterexample.GlobalSuffixFinder: Finds a set of distinguishing suffixes which will allow to expose at least one additional state in the hypothesis.
findSuffixIndex(AcexAnalyzer, boolean, Query<RI, RO>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RO>, MembershipOracle<RI, RO>) - Static method in class de.learnlib.counterexample.AcexLocalSuffixFinder
findSuffixIndex(Query<RI, RD>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RD>, MembershipOracle<RI, RD>) - Method in interface de.learnlib.counterexample.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.
findSuffixIndex(Query<RI, RO>, AccessSequenceTransformer<RI>, SuffixOutput<RI, RO>, MembershipOracle<RI, RO>) - Method in class de.learnlib.counterexample.AcexLocalSuffixFinder
findUnclosedRow() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
FINISHED - Enum constant in enum class de.learnlib.query.AdaptiveQuery.Response: Indicates that the query is finished and no more symbols should be processed.
firstOutput - Variable in class de.learnlib.algorithm.adt.adt.ADT.LCAInfo
FIXED - Enum constant in enum class de.learnlib.oracle.ThreadPool.PoolPolicy: Maintain a fixed thread pool.
follow(Word<TimedInput>) - Method in interface de.learnlib.sul.TimedSUL: Follows the provided input word, starting at the current system state.
follow(Word<TimedInput>, long) - Method in interface de.learnlib.sul.TimedSUL: Follows the provided input word, starting at the current configuration.
forEachSucc(Consumer<? super S>) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
fork() - Method in class de.learnlib.driver.ContextExecutableInputSUL
fork() - Method in class de.learnlib.driver.ExecutableInputSUL
fork() - Method in class de.learnlib.driver.reflect.SimplePOJOExceptionMapper
fork() - Method in class de.learnlib.driver.simulator.MealySimulatorSUL
fork() - Method in class de.learnlib.driver.simulator.MMLTSimulatorSUL
fork() - Method in class de.learnlib.driver.simulator.ObservableMealySimulatorSUL
fork() - Method in class de.learnlib.driver.simulator.StateLocalInputMealySimulatorSUL
fork() - Method in class de.learnlib.filter.cache.sul.ThreadSafeSULCache
fork() - Method in class de.learnlib.filter.cache.sul.StateLocalInputSULCache
fork() - Method in class de.learnlib.filter.statistic.sul.CounterObservableSUL
fork() - Method in class de.learnlib.filter.statistic.sul.CounterStateLocalInputSUL
fork() - Method in class de.learnlib.filter.statistic.sul.CounterSUL
fork() - Method in class de.learnlib.filter.statistic.sul.CounterTimedSUL
fork() - Method in class de.learnlib.mapper.MappedSUL
fork() - Method in interface de.learnlib.sul.ObservableSUL
fork() - Method in interface de.learnlib.sul.StateLocalInputSUL
fork() - Method in interface de.learnlib.sul.SUL: Forks this SUL, if possible.
fork() - Method in interface de.learnlib.sul.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 interface de.learnlib.sul.TimedSUL
FORWARD - Enum constant in enum class de.learnlib.acex.AcexAnalyzers.Direction
fromBytes(byte[]) - Static method in class de.learnlib.testsupport.ResumeUtils
fromGlobalSuffixFinder(GlobalSuffixFinder<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
fromLocalFinder(LocalSuffixFinder<I, D>) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Transforms a LocalSuffixFinder into a global one.
fromLocalFinder(LocalSuffixFinder<I, D>, boolean) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Transforms a LocalSuffixFinder into a global one.
fromLocalSuffixFinder(LocalSuffixFinder<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
fromLocalSuffixFinder(LocalSuffixFinder<I, D>, boolean) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
fromString(String, Alphabet, ObservationTableReader<I, D>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils
FULL - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Output
fullIntAbstraction(Alphabet) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
fullIntAbstraction(Alphabet) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
fullIntAbstraction(Alphabet) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
fullIntAbstraction(Alphabet) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
FWD_ANALYZERS - Static variable in class de.learnlib.acex.AcexAnalyzers

G

generateSamples(Alphabet, M) - Static method in class de.learnlib.testsupport.it.util.LearnerITUtil
generateSamplesInternal(Alphabet, DFA<?, I>) - Method in class de.learnlib.testsupport.it.AbstractDFAPassiveLearnerIT: Utility method, that may be overridden by subclasses.
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.CompleteExplorationEQOracle
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.KWayStateCoverEQOracle
generateTestWords(A, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracle
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(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
generateTestWords(A, Collection<? extends I>) - Method in interface de.learnlib.TestWordGenerator: Generate the stream of words that should be evaluated for the given hypothesis.
generateTestWords(Output<I, D>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.vpa.RandomWellMatchedWordsEQOracle
generateTestWords(SBA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.sba.WMethodEQOracle
generateTestWords(SPA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.spa.WMethodEQOracle
generateTestWords(SPA<?, I>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.spa.WpMethodEQOracle
generateTestWords(SPMM<?, I, ?, O>, Collection<? extends I>) - Method in class de.learnlib.oracle.equivalence.spmm.WMethodEQOracle
GenericAAARLearnerDFA<L extends LearningAlgorithm.DFALearner<CI> & SupportsGrowingAlphabet<CI>,AI,CI> - Class in de.learnlib.algorithm.aaar.generic: A DFA-specific refinement of AbstractGenericAAARLearner.
GenericAAARLearnerDFA(LearnerConstructor<L, CI, Boolean>, MembershipOracle<CI, Boolean>, CI, Function<CI, AI>) - Constructor for class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerDFA: Constructor.
GenericAAARLearnerMealy<L extends LearningAlgorithm.MealyLearner<CI,O> & SupportsGrowingAlphabet<CI>,AI,CI,O> - Class in de.learnlib.algorithm.aaar.generic: A MealyMachine-specific refinement of AbstractGenericAAARLearner.
GenericAAARLearnerMealy(LearnerConstructor<L, CI, Word<O>>, MembershipOracle<CI, Word<O>>, CI, Function<CI, AI>) - Constructor for class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerMealy: Constructor.
GenericAAARLearnerMoore<L extends LearningAlgorithm.MooreLearner<CI,O> & SupportsGrowingAlphabet<CI>,AI,CI,O> - Class in de.learnlib.algorithm.aaar.generic: A MooreMachine-specific refinement of AbstractGenericAAARLearner.
GenericAAARLearnerMoore(LearnerConstructor<L, CI, Word<O>>, MembershipOracle<CI, Word<O>>, CI, Function<CI, AI>) - Constructor for class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerMoore: Constructor.
GenericAbstractionTree<AI,CI,D> - Class in de.learnlib.algorithm.aaar.abstraction
GenericAbstractionTree(AI, CI, MembershipOracle<CI, D>, Function<CI, AI>) - Constructor for class de.learnlib.algorithm.aaar.abstraction.GenericAbstractionTree
GenericObservationTable<I,D> - Class in de.learnlib.datastructure.observationtable: Observation table class.
GenericObservationTable(Alphabet) - Constructor for class de.learnlib.datastructure.observationtable.GenericObservationTable: Constructor.
get(boolean) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
get(int) - Method in class de.learnlib.algorithm.lsharp.ads.ArenaTree
get(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
getAbstractAlphabet() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner: Returns the (abstract) alphabet of the current (abstract) hypothesis model (cf.
getAbstractionTree() - Method in class de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner
getAbstractionTrees() - Method in class de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner
getAbstractSymbol(CI) - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getAbstractSymbol(CI) - Method in interface de.learnlib.algorithm.aaar.Abstraction: Returns the abstract symbol for a given concrete one.
getAccessSeq(Integer) - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
getAccessSeq(S) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
getAccessSequence() - Method in interface de.learnlib.AccessSequenceProvider: Retrieves the access sequence of this object.
getAccessSequence() - Method in class de.learnlib.algorithm.adt.automaton.ADTState
getAccessSequence() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getAccessSequence() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
getAccessSequence() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
getAccessSequence() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
getAccessSequence() - Method in class de.learnlib.algorithm.ttt.base.TTTState
getAccessSequence() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getAccessSequence(I) - Method in interface de.learnlib.algorithm.procedural.sba.ATManager: Returns an access sequence for the given procedure.
getAccessSequence(I) - Method in class de.learnlib.algorithm.procedural.sba.manager.DefaultATManager
getAccessSequence(I) - Method in class de.learnlib.algorithm.procedural.sba.manager.OptimizingATManager
getAccessSequence(I) - Method in interface de.learnlib.algorithm.procedural.spa.ATRManager: Returns an access sequence for the given procedure.
getAccessSequence(I) - Method in class de.learnlib.algorithm.procedural.spa.manager.DefaultATRManager
getAccessSequence(I) - Method in class de.learnlib.algorithm.procedural.spa.manager.OptimizingATRManager
getAccessSequence(I) - Method in interface de.learnlib.algorithm.procedural.spmm.ATManager: Returns an access sequence for the given procedure.
getAccessSequence(I) - Method in class de.learnlib.algorithm.procedural.spmm.manager.DefaultATManager
getAccessSequence(I) - Method in class de.learnlib.algorithm.procedural.spmm.manager.OptimizingATManager
getAdditionalLearningExamples() - Method in class de.learnlib.testsupport.it.AbstractMMLTLearnerIT
getADT() - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
getAdtExtender() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter adtExtender.
getAllAnalyzers() - Static method in class de.learnlib.acex.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.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
getAlphabet() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Returns the current value for the parameter alphabet.
getAlphabet() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultOneSEVPALearningExample
getAlphabet() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSBALearningExample
getAlphabet() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSPALearningExample
getAlphabet() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSPMMLearningExample
getAlphabet() - Method in class de.learnlib.testsupport.example.DefaultLearningExample
getAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample
getAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample.MMLTLearningExample: Returns the fully timed alphabet, including the TimeoutSymbol and TimeStepSequence symbol.
getAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample.OneSEVPALearningExample
getAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample.SBALearningExample
getAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample.SPALearningExample
getAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample.SPMMLearningExample
getAlphabet() - Method in class de.learnlib.testsupport.example.mealy.ExampleRandomStateLocalInputMealy
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMooreTest
getAlphabetExtensions() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
getAnalyzer() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter analyzer.
getAnalyzer() - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Returns the current value for the parameter analyzer.
getAnalyzer() - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Returns the current value for the parameter analyzer.
getAnalyzer() - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Returns the current value for the parameter analyzer.
getAnalyzer() - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Returns the current value for the parameter analyzer.
getAnalyzer() - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Returns the current value for the parameter analyzer.
getAnalyzers(AcexAnalyzers.Direction) - Static method in class de.learnlib.acex.AcexAnalyzers
getAnySuccessor(TTTState<I, D>, I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
getAnySuccessor(TTTState<I, D>, Iterable<? extends I>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
getAnySuccessor(State<HypLoc>, I) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
getAnyTarget(TTTTransition<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: Retrieves the target state of a given transition.
getBackwardAnalyzers() - Static method in class de.learnlib.acex.AcexAnalyzers
getBaseState() - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA.PrefixTransformAcex
getBatchSize() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Returns the current value for the parameter batchSize.
getBatchSize() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter batchSize.
getBlueState() - Method in class de.learnlib.datastructure.pta.RedBlueMerge
getCache() - Method in class de.learnlib.filter.cache.dfa.DFAHashCacheOracle.DFAHashCacheOracleState
getCache() - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache: Returns a (structural) view of the cache in form of a MealyMachine.
getCause() - Method in class de.learnlib.driver.reflect.Error
getCexHandler() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Returns the current value for the parameter cexHandler.
getCexHandler() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Returns the current value for the parameter cexHandler.
getCexHandler() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Returns the current value for the parameter cexHandler.
getCexHandler() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Returns the current value for the parameter cexHandler.
getCexHandler() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Returns the current value for the parameter cexHandler.
getChild(O) - Method in interface de.learnlib.algorithm.adt.adt.ADTNode: Convenience method for directly accessing this node's children.
getChild(O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
getChildEntries() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
getChildNode(O) - Method in class de.learnlib.algorithm.lsharp.ads.ADSNode
getChildren() - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
getChildren() - Method in class de.learnlib.algorithm.lambda.ttt.dt.DTInnerNode
getChildren() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
getClock(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.getClock(StatisticsKey, Object) that uses null as owner.
getClock(StatisticsKey, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getClock(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Returns the current value of the clock with the given key for the given owner.
getClocks(StatisticsKey) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getClocks(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Returns all stored clocks for the given key, grouped by their owners.
getClosingStrategy() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Returns the current value for the parameter closingStrategy.
getClosingStrategy() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Returns the current value for the parameter closingStrategy.
getColor() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
getCombinationMethod() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Returns the current value for the parameter combinationMethod.
getContent(int) - Method in class de.learnlib.algorithm.nlstar.Row
getContents() - Method in class de.learnlib.algorithm.nlstar.Row
getCount(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.getCount(StatisticsKey, Object) that uses null as owner.
getCount(StatisticsKey, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getCount(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Returns the value of the counter with the given key for the given owner.
getCounterExample() - Method in class de.learnlib.algorithm.adt.model.ExtensionResult: Return the found counterexample.
getCounterExample() - Method in class de.learnlib.oracle.property.BasePropertyOracle
getCounterExample() - Method in class de.learnlib.oracle.property.LoggingPropertyOracle
getCounterExample() - Method in class de.learnlib.oracle.property.PropertyOracleChain
getCounterExample() - Method in class de.learnlib.oracle.property.SBAPropertyOracle
getCounterExample() - Method in interface de.learnlib.oracle.PropertyOracle: Returns the counterexample for the property if PropertyOracle.isDisproved(), null otherwise.
getCounterexampleAnalyzer() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Returns the current value for the parameter counterexampleAnalyzer.
getCounterexampleAnalyzer() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Returns the current value for the parameter counterexampleAnalyzer.
getCounts(StatisticsKey) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getCounts(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Returns all stored counters for the given key, grouped by their owners.
getCoveredRows() - Method in class de.learnlib.algorithm.nlstar.Row
getCoveredRows(Row) - Method in class de.learnlib.algorithm.nlstar.ObservationTable
getCutoutNodes() - Method in class de.learnlib.algorithm.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>, Word) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
getDefinitiveSuccessor(State<HypLoc>, Word) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
getDelegate() - Method in class de.learnlib.algorithm.procedural.SymbolWrapper
getDepth() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getDepth() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
getDescription() - Method in class de.learnlib.statistic.StatisticsKey: Returns the effective description of this key, i.e., the base description potentially augmented with an id.
getDeterministicState(TTTState<I, D>, Word) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
getDiscriminationTree() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
getDiscriminationTree() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
getDiscriminationTree() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
getDiscriminationTree() - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
getDiscriminationTree() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: Returns the discrimination tree.
getDiscriminator() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingDiscriminatorResult
getDiscriminator() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.Splitter
getDiscriminator() - Method in class de.learnlib.algorithm.ttt.vpa.Splitter
getDiscriminator() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
getDiscriminatorLength() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.Splitter
getDT() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
getDTLeaf() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getDTLeaf() - Method in class de.learnlib.algorithm.ttt.base.TTTState: Retrieves the discrimination tree leaf associated with this state.
getDTTarget() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getEdgeProperties(S, TransitionEdge<I, T>, S, Map<String, String>) - Method in class de.learnlib.datastructure.pta.visualization.PTAVisualizationHelper
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: Return the edge with the given index.
getElement() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
getElement() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
getElement() - Method in class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
getElement() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getElement() - Method in class de.learnlib.datastructure.list.IntrusiveList
getEnumValue(LearnLibProperty, Class<E>) - Method in class de.learnlib.setting.LearnLibSettings
getEnumValue(LearnLibProperty, Class<E>, E) - Method in class de.learnlib.setting.LearnLibSettings
getEpsilonRoot() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Returns the current value for the parameter epsilonRoot.
getFinalHypothesis() - Method in class de.learnlib.util.Experiment: Returns the final hypothesis model.
getFirstRow() - Method in class de.learnlib.datastructure.observationtable.Inconsistency: Retrieves the first (short prefix) row constituting the inconsistency.
getFlag(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.getFlag(StatisticsKey, Object) that uses null as owner.
getFlag(StatisticsKey, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getFlag(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Retrieves the boolean flag for the given key, written by the given owner.
getFlags(StatisticsKey) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getFlags(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Returns all stored flags for the given key, grouped by their owners.
getForwardAnalyzers() - Static method in class de.learnlib.acex.AcexAnalyzers
getGenerationMethod() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter generationMethod.
getGlobalSuffixes() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
getGlobalSuffixes() - Method in interface de.learnlib.algorithm.GlobalSuffixLearner: Retrieves the global suffixes of this learner.
getGlobalSuffixes() - Method in class de.learnlib.algorithm.lstar.AbstractLStar
getHypothesisDS() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
getHypothesisDS() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerMoore
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerMoore
getHypothesisModel() - Method in class de.learnlib.algorithm.aaar.TranslatingLearnerWrapper
getHypothesisModel() - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
getHypothesisModel() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
getHypothesisModel() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
getHypothesisModel() - Method in interface de.learnlib.algorithm.LearningAlgorithm: Returns the current hypothesis model.
getHypothesisModel() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT
getHypothesisModel() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMoore
getHypothesisModel() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore
getHypothesisModel() - Method in class de.learnlib.algorithm.nlstar.NLStarLearner
getHypothesisModel() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMoore
getHypothesisModel() - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
getHypothesisModel() - Method in class de.learnlib.algorithm.procedural.sba.SBALearner
getHypothesisModel() - Method in class de.learnlib.algorithm.procedural.spa.SPALearner
getHypothesisModel() - Method in class de.learnlib.algorithm.procedural.spmm.SPMMLearner
getHypothesisModel() - Method in class de.learnlib.algorithm.sparse.SparseLearner
getHypothesisModel() - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
getHypothesisModel() - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
getHypothesisModel() - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
getHypothesisModel() - Method in class de.learnlib.filter.statistic.learner.RefinementCounterLearner
getHypothesisModel() - Method in class de.learnlib.util.nfa.NFALearnerWrapper
getId() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getId() - Method in class de.learnlib.filter.reuse.tree.ReuseNode
getIncoming() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
getIncoming() - Method in class de.learnlib.algorithm.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.algorithm.adt.automaton.ADTState
getIndex() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
getIndex() - Method in class de.learnlib.datastructure.pta.PTATransition
getInit() - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache: Returns the initial state of the structural view of the cache.
getInitialAbstracts() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner
getInitialAbstracts() - Method in class de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner
getInitialAbstracts() - Method in interface de.learnlib.algorithm.aaar.ExplicitInitialAbstraction: Return the initial collection of abstract symbols.
getInitialAbstracts() - Method in class de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMooreTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractLearnerASTDFATest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractLearnerASTMealyTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractLearnerASTMooreTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerDFATest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerMooreTest
getInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
getInitialPrefixes() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Returns the current value for the parameter initialPrefixes.
getInitialPrefixes() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Returns the current value for the parameter initialPrefixes.
getInitialPrefixes() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Returns the current value for the parameter initialPrefixes.
getInitialPrefixes() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Returns the current value for the parameter initialPrefixes.
getInitialPrefixes() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Returns the current value for the parameter initialPrefixes.
getInitialRepresentatives() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner
getInitialRepresentatives() - Method in class de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner
getInitialRepresentatives() - Method in class de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner
getInitialSplitters() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Returns the current value for the parameter initialSplitters.
getInitialState() - Method in class de.learnlib.algorithm.aaar.TranslatingDFA
getInitialState() - Method in class de.learnlib.algorithm.aaar.TranslatingMealyMachine
getInitialState() - Method in class de.learnlib.algorithm.aaar.TranslatingMooreMachine
getInitialState() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getInitialState() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getInitialState() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getInitialState() - Method in class de.learnlib.datastructure.pta.BasePTA
getInitialState() - Method in class de.learnlib.datastructure.pta.wrapper.DFAWrapper
getInitialState() - Method in class de.learnlib.datastructure.pta.wrapper.MealyWrapper
getInitialState() - Method in class de.learnlib.datastructure.pta.wrapper.MooreWrapper
getInitialSuffixes() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Returns the current value for the parameter initialSuffixes.
getInitialSuffixes() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Returns the current value for the parameter initialSuffixes.
getInput() - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
getInput() - Method in class de.learnlib.algorithm.lsharp.ads.ADSNode
getInput() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingDiscriminatorResult
getInput() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingResetResult
getInput() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getInput() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge: The respective input on this edge.
getInput() - Method in interface de.learnlib.query.AdaptiveQuery: Returns the current input symbol that should be evaluated on the system under learning.
getInput() - Method in class de.learnlib.query.Query: Retrieves the input word of this query.
getInput() - Method in class de.learnlib.util.mealy.PresetAdaptiveQuery
getInput() - Method in class de.learnlib.util.mealy.WordAdaptiveQuery
getInputAlphabet() - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
getInputAlphabet() - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
getInputAlphabet() - Method in class de.learnlib.algorithm.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
getInputAlphabet() - Method in class de.learnlib.datastructure.pta.BasePTA
getInputAlphabet() - Method in class de.learnlib.datastructure.pta.wrapper.DFAWrapper
getInputAlphabet() - Method in class de.learnlib.datastructure.pta.wrapper.MealyWrapper
getInputAlphabet() - Method in class de.learnlib.datastructure.pta.wrapper.MooreWrapper
getInputs() - Method in class de.learnlib.driver.reflect.SimplePOJOTestDriver
getInstance() - Static method in class de.learnlib.setting.LearnLibSettings
getInt(LearnLibProperty, int) - Method in class de.learnlib.setting.LearnLibSettings
getInteger(LearnLibProperty) - Method in class de.learnlib.setting.LearnLibSettings
getInternalSuccessor(HypLoc, I) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getInternalTransition(int) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
getInternalTransition(HypLoc, I) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getInternalTransition(TTTState<I, D>, int) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getInternalTransition(TTTState<I, D>, I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis: Retrieves the internal transition (i.e., the TTTTransition object) for a given state and input.
getInternalTransition(State<HypLoc>, I) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getIntInitialState() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getIntSuccessor(T) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getK() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Returns the current value for the parameter k.
getK() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter k.
getKey() - Method in class de.learnlib.statistic.StatisticsKey: Returns the effective representation of this key, i.e., the base key potentially augmented with an id.
getKeys() - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getKeys() - Method in interface de.learnlib.statistic.StatisticsService: Returns all registered keys of this collector.
getLabel() - Method in interface de.learnlib.datastructure.observationtable.Row: Retrieves the label of this row.
getLabel() - Method in class de.learnlib.datastructure.observationtable.RowImpl
getLabels() - Method in class de.learnlib.datastructure.discriminationtree.SplitData
getLastTimer() - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo: Returns the timer with the highest initial value.
getLeaf() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
getLeafSplitter() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter leafSplitter.
getLearner() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner: Returns the created instance of the provided internal learner.
getLearner() - Method in class de.learnlib.testsupport.it.variant.LearnerVariant
getLearner() - Method in class de.learnlib.testsupport.it.variant.PassiveLearnerVariant
getLearner(OR, Alphabet) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
getLearner(OR, Alphabet) - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
getLearner(OR, Alphabet) - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
getLearnerAlphabet() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner: Returns the (concrete) alphabet of the current (concrete) internal hypothesis model (cf.
getLearnerAlphabet() - Method in class de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner
getLearnerAlphabet() - Method in class de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner
getLearnerHypothesisModel() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner: Returns the (concrete) hypothesis model form the provided internal learner.
getLearnerName() - Method in class de.learnlib.testsupport.it.variant.LearnerVariant
getLearnerName() - Method in class de.learnlib.testsupport.it.variant.PassiveLearnerVariant
getLearnerVariants() - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl
getLearnerVariants() - Method in class de.learnlib.testsupport.it.variant.PassiveLearnerVariantListImpl
getLength() - Method in class de.learnlib.acex.AbstractBaseCounterexample: Retrieves the length of the abstract counterexample.
getLength() - Method in interface de.learnlib.acex.AbstractCounterexample
getLength() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.ContextPair
getLocalTimers() - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo: Returns an unmodifiable view of the timers defined for this location.
getLocation() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.FalseIgnoreResult
getLocation() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingDiscriminatorResult
getLocation() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingOneShotResult
getLocation() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingResetResult
getLocationPrefix(State<Integer, O>) - Method in class de.learnlib.algorithm.lstar.mmlt.MMLTHypothesis: Returns the prefix assigned to the location that is active in the provided configuration.
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
getLoop() - Method in class de.learnlib.query.OmegaQuery
getMappedInputs() - Method in class de.learnlib.mapper.StringMapper
getMaxDepth() - Method in class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
getMaxNumberOfSteps() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter maxNumberOfSteps.
getMaxPathLen() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter maxPathLen.
getMaxRounds() - Method in class de.learnlib.testsupport.it.variant.LearnerVariant
getMealyLearnerVariants() - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MealySymLearnerVariantListImpl
getMembershipOracle() - Method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle
getMembershipOracle() - Method in class de.learnlib.oracle.membership.SimulatorOmegaOracle.DFASimulatorOmegaOracle
getMembershipOracle() - Method in class de.learnlib.oracle.membership.SimulatorOmegaOracle: Gets the SimulatorOracle used to answer Querys.
getMembershipOracle() - Method in class de.learnlib.oracle.membership.SimulatorOmegaOracle.MealySimulatorOmegaOracle
getMembershipOracle() - Method in interface de.learnlib.oracle.OmegaMembershipOracle.DFAOmegaMembershipOracle
getMembershipOracle() - Method in interface de.learnlib.oracle.OmegaMembershipOracle: Returns a regular membership oracle.
getMembershipOracle() - Method in interface de.learnlib.oracle.OmegaMembershipOracle.MealyOmegaMembershipOracle
getMembershipOracle() - Method in class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracle
getMembershipOracle() - Method in class de.learnlib.oracle.parallelism.StaticParallelOmegaOracle
getMembershipOracle() - Method in class de.learnlib.util.AbstractBFOracle
getModelParams() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter modelParams.
getMooreLearnerVariants() - Method in class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MooreSymLearnerVariantListImpl
getMultiplier() - Method in interface de.learnlib.oracle.AutomatonOracle: Returns the multiplier used to compute the number of queries this automaton oracle should perform to decide whether a given hypothesis is a counter example.
getMultiplier() - Method in class de.learnlib.util.AbstractBFOracle
getName() - Method in class de.learnlib.acex.AbstractNamedAcexAnalyzer: Retrieves the name of this analyzer.
getName() - Method in class de.learnlib.testsupport.it.variant.LearnerVariant
getName() - Method in class de.learnlib.testsupport.it.variant.PassiveLearnerVariant
getNewDiscriminator() - Method in class de.learnlib.algorithm.ttt.vpa.Splitter
getNewDiscriminatorLength() - Method in class de.learnlib.algorithm.ttt.vpa.Splitter
getNext() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
getNode(int) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
getNodeId(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
getNodeProperties(S, Map<String, String>) - Method in class de.learnlib.datastructure.pta.visualization.BlueFringeVisualizationHelper
getNodeProperties(S, Map<String, String>) - Method in class de.learnlib.datastructure.pta.visualization.PTAVisualizationHelper
getNodes() - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getNodes() - Method in interface de.learnlib.algorithm.adt.adt.ADTNode
getNodes() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
getNodes() - Method in class de.learnlib.algorithm.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.algorithm.adt.model.ReplacementResult: The ADT subtree (root-node) that should be replaced.
getNodeType() - Method in class de.learnlib.algorithm.adt.adt.ADTLeafNode
getNodeType() - Method in interface de.learnlib.algorithm.adt.adt.ADTNode: Returns the node type of the current node.
getNodeType() - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
getNodeType() - Method in class de.learnlib.algorithm.adt.adt.ADTSymbolNode
getNonDetSuccessors(Collection<? extends TTTState<I, D>>, I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
getNonTreeTarget() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
getNonTreeTarget() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getNumGeneratePaths() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter numGeneratePaths.
getNumRedStates() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
getNumUpperRows() - Method in class de.learnlib.algorithm.nlstar.ObservationTable
getObservation(Integer, Word) - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
getObservation(S, Word) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
getObservationTable() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
getObservationTable() - Method in class de.learnlib.algorithm.lstar.AbstractLStar
getObservationTable() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT
getObservationTable() - Method in class de.learnlib.algorithm.nlstar.NLStarLearner
getObservationTable() - Method in interface de.learnlib.datastructure.observationtable.ObservationTableFeature
getOmegaMembershipOracle() - Method in class de.learnlib.oracle.emptiness.LassoEmptinessOracleImpl
getOptimizationMetric() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter optimizationMetric.
getOracle() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Returns the current value for the parameter oracle.
getOracle() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter oracle.
getOracle(M) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
getOracle(M) - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
getOracle(M) - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
getOracle(DFA<?, Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
getOracle(DFA<?, Character>) - Method in class de.learnlib.testsupport.AbstractLearnerASTDFATest
getOracle(DFA<?, Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerDFATest
getOracle(MealyMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
getOracle(MealyMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractLearnerASTMealyTest
getOracle(MealyMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
getOracle(MooreMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMooreTest
getOracle(MooreMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractLearnerASTMooreTest
getOracle(MooreMachine<?, Character, ?, Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerMooreTest
getOracles() - Method in class de.learnlib.oracle.equivalence.EQOracleChain
getOrCreateState(IntSeq) - Method in class de.learnlib.datastructure.pta.BasePTA: Retrieves the state reached by the given word.
getOrCreateSuccessor(int, int) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
getOut(S, I) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
getOutgoingEdges(Node) - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getOutgoingEdges(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
getOutgoingEdges(TTTState<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.GraphView
getOutgoingEdges(ReuseNode<S, I, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
getOutgoingEdges(N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
getOutgoingTransitions() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getOutput() - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
getOutput() - Method in class de.learnlib.algorithm.ttt.mealy.TTTTransitionMealy
getOutput() - Method in class de.learnlib.algorithm.ttt.moore.TTTStateMoore
getOutput() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge: The respective output on this edge.
getOutput() - Method in class de.learnlib.query.DefaultQuery
getOutput() - Method in class de.learnlib.query.OmegaQuery
getOutput() - Method in class de.learnlib.util.mealy.WordAdaptiveQuery
getOutput(Word) - 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.algorithm.adt.util.ADTUtil
getOutSucc(I) - Method in class de.learnlib.algorithm.lsharp.MapTransitions
getOutSucc(I) - Method in interface de.learnlib.algorithm.lsharp.TransitionInformation
getOutSucc(Integer, I) - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
getOutSucc(S, I) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
getParams() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMMLTLearningExample
getParams() - Method in interface de.learnlib.testsupport.example.LearningExample.MMLTLearningExample
getParent() - Method in class de.learnlib.algorithm.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.algorithm.ttt.base.TTTState
getPartialOutput(Word) - Method in class de.learnlib.filter.reuse.tree.ReuseTree: Returns the known output for "reflexive" edges in the tree for the given query.
getPeriodicity() - Method in class de.learnlib.query.OmegaQuery
getPrefix() - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo
getPrefix() - Method in class de.learnlib.algorithm.nlstar.Row
getPrefix() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.ContextPair
getPrefix() - Method in class de.learnlib.query.AbstractQuery
getPrefix() - Method in class de.learnlib.query.OmegaQuery
getPrefix() - Method in class de.learnlib.query.Query: Returns the prefix part of this query.
getPrefix(Integer) - Method in class de.learnlib.algorithm.lstar.mmlt.MMLTHypothesis: Returns a prefix for the given location.
getPrefix(State<Integer, O>) - Method in class de.learnlib.algorithm.lstar.mmlt.MMLTHypothesis: Returns the prefix assigned to the provided configuration.
getPrefix(Word<TimedInput>) - Method in class de.learnlib.algorithm.lstar.mmlt.MMLTHypothesis: Returns a prefix for the location reached by the given prefix.
getPrev() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
getPriority() - Method in class de.learnlib.filter.statistic.MapStatisticsProvider
getPriority() - Method in class de.learnlib.setting.sources.LearnLibLocalPropertiesAutomataLibSettingsSource
getPriority() - Method in class de.learnlib.setting.sources.LearnLibPropertiesAutomataLibSettingsSource
getPriority() - Method in class de.learnlib.setting.sources.LearnLibSystemPropertiesAutomataLibSettingsSource
getPriority() - Method in interface de.learnlib.statistic.StatisticsProvider: Returns the priority of this provider.
getProcessor() - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessor
getProcessor() - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessor
getProperty() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getProperty() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
getProperty() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getProperty() - Method in class de.learnlib.algorithm.ttt.mealy.TTTTransitionMealy
getProperty() - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
getProperty() - Method in class de.learnlib.oracle.property.BasePropertyOracle
getProperty() - Method in class de.learnlib.oracle.property.LoggingPropertyOracle
getProperty() - Method in class de.learnlib.oracle.property.PropertyOracleChain
getProperty() - Method in class de.learnlib.oracle.property.SBAPropertyOracle
getProperty() - Method in interface de.learnlib.oracle.PropertyOracle: Returns the property.
getProperty(LearnLibProperty) - Method in class de.learnlib.setting.LearnLibSettings
getProperty(LearnLibProperty, String) - Method in class de.learnlib.setting.LearnLibSettings
getPropertyKey() - Method in enum class de.learnlib.setting.LearnLibProperty: Returns the actual system property key of the property.
getPropertyOracles() - Method in interface de.learnlib.oracle.BlackBoxOracle: Returns the property oracles that this black-box oracle uses to evaluate properties.
getPropertyOracles() - Method in class de.learnlib.oracle.equivalence.CExFirstOracle
getPropertyOracles() - Method in class de.learnlib.oracle.equivalence.DisproveFirstOracle
getQueryState(ObservableSUL<S, I, O>) - Method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle
getRandom() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter random.
getRandom() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Returns the current value for the parameter random.
getRandom() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter random.
getRandomWalkLen() - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Returns the current value for the parameter randomWalkLen.
getRandomWalkLen() - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Returns the current value for the parameter randomWalkLen.
getRedState() - Method in class de.learnlib.datastructure.pta.RedBlueMerge
getRedState(int) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
getRedStates() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultMMLTLearningExample
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultOneSEVPALearningExample
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSBALearningExample
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSPALearningExample
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.DefaultLearningExample.DefaultSPMMLearningExample
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.DefaultLearningExample
getReferenceAutomaton() - Method in interface de.learnlib.testsupport.example.LearningExample
getReferenceAutomaton() - Method in class de.learnlib.testsupport.example.mealy.ExampleRandomStateLocalInputMealy
getRepeat() - Method in class de.learnlib.query.OmegaQuery
getRepeatedCounterexampleEvaluation() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Returns the current value for the parameter repeatedCounterexampleEvaluation.
getRepeatedCounterexampleEvaluation() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Returns the current value for the parameter repeatedCounterexampleEvaluation.
getRepeatedCounterexampleEvaluation() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Returns the current value for the parameter repeatedCounterexampleEvaluation.
getRepeatedCounterexampleEvaluation() - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Returns the current value for the parameter repeatedCounterexampleEvaluation.
getRepeatedCounterexampleEvaluation() - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Returns the current value for the parameter repeatedCounterexampleEvaluation.
getReplacement() - Method in class de.learnlib.algorithm.adt.model.ExtensionResult: Return the proposed replacement.
getReplacement() - Method in class de.learnlib.algorithm.adt.model.ReplacementResult: The ADT subtree (root-node) that forms the replacement.
getRepresentative(AI) - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getRepresentative(AI) - Method in interface de.learnlib.algorithm.aaar.Abstraction: Returns the (concrete) representative for a given abstract symbol.
getRepresentativeSymbols() - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getReturnSequence(I) - Method in interface de.learnlib.algorithm.procedural.spa.ATRManager: Returns a return sequence for the given procedure.
getReturnSequence(I) - Method in class de.learnlib.algorithm.procedural.spa.manager.DefaultATRManager
getReturnSequence(I) - Method in class de.learnlib.algorithm.procedural.spa.manager.OptimizingATRManager
getReturnSuccessor(HypLoc, I, int) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getReturnTransition(int, int) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
getReturnTransition(HypLoc, I, int) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getReturnTransition(HypLoc, I, HypLoc, I) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.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.algorithm.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.BasePTA: Retrieves the root of the PTA.
getRoot() - Method in class de.learnlib.filter.reuse.tree.ReuseTree: Returns the root ReuseNode of the ReuseTree.
getRound() - Method in class de.learnlib.util.Experiment: Utility method to access to current learning round.
getRounds() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
getRow() - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar.StateInfo
getRow(int) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
getRow(int) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable: Returns the specified row of the observation table.
getRow(int) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
getRow(Word) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
getRow(Word) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
getRow1() - Method in class de.learnlib.algorithm.nlstar.Inconsistency
getRow2() - Method in class de.learnlib.algorithm.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).
getRowContentId() - Method in class de.learnlib.datastructure.observationtable.RowImpl
getRowId() - Method in interface de.learnlib.datastructure.observationtable.Row: Retrieves the unique row identifier associated with this row.
getRowId() - Method in class de.learnlib.datastructure.observationtable.RowImpl
getRowSuccessor(Row, I) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
getRule2() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter rule2.
getRule3() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter rule3.
getSamples() - Method in class de.learnlib.testsupport.example.DefaultPassiveLearningExample
getSamples() - Method in interface de.learnlib.testsupport.example.PassiveLearningExample
getScore() - Method in class de.learnlib.algorithm.lsharp.ads.ADSNode
getScore() - Method in class de.learnlib.algorithm.lsharp.ads.ADSTree
getSecondRow() - Method in class de.learnlib.datastructure.observationtable.Inconsistency: Retrieves the second (short prefix) row constituting the inconsistency.
getService() - Method in class de.learnlib.filter.statistic.MapStatisticsProvider
getService() - Static method in class de.learnlib.statistic.Statistics: Returns a StatisticsService for collecting statistics.
getService() - Method in interface de.learnlib.statistic.StatisticsProvider: Returns the instance of the StatisticsService.
getShortPrefixes() - Method in class de.learnlib.algorithm.lambda.ttt.dt.DTLeaf
getShortPrefixes() - Method in interface de.learnlib.datastructure.observationtable.ObservationTable: Retrieves the short prefixes in the table.
getShortPrefixes(List<Boolean>) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
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.algorithm.adt.automaton.ADTTransition
getSinkOutput() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter sinkOutput.
getSinkState() - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Returns the current value for the parameter sinkState.
getSortedTimers() - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo: Returns an unmodifiable list of all timers defined in this location, sorted by their initial value.
getSource() - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
getSource() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
getSource() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getSource() - Method in class de.learnlib.datastructure.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, Splitter) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
getStartOfADS(ADTNode<S, I, O>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
getState() - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
getState() - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar.StateInfo
getState() - Method in class de.learnlib.driver.simulator.ObservableMealySimulatorSUL
getState() - Method in class de.learnlib.filter.statistic.sul.CounterObservableSUL
getState() - Method in interface de.learnlib.sul.ObservableSUL: Returns the current state of the system.
getState(int) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getState(int) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getState(int) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getState(Word) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
getState(Word) - Method in class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
getState(Word) - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
getStateId(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getStateId(HypLoc) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getStateId(S) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getStateLabel() - Method in class de.learnlib.datastructure.discriminationtree.SplitData: Retrieves the state label associated with this split data.
getStateOutput(TTTStateMoore<I, O>) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
getStateOutput(S) - Method in class de.learnlib.algorithm.aaar.TranslatingMooreMachine
getStateOutput(S) - Method in class de.learnlib.datastructure.pta.wrapper.MooreWrapper
getStateProperty() - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
getStateProperty(int) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
getStateProperty(int) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
getStateProperty(int) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
getStateProperty(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getStateProperty(HypLoc) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getStateProperty(S) - Method in class de.learnlib.datastructure.pta.BasePTA
getStates() - Method in class de.learnlib.algorithm.aaar.TranslatingDFA
getStates() - Method in class de.learnlib.algorithm.aaar.TranslatingMealyMachine
getStates() - Method in class de.learnlib.algorithm.aaar.TranslatingMooreMachine
getStates() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getStates() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
getStates() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getStates() - Method in class de.learnlib.datastructure.pta.BasePTA
getStates() - Method in class de.learnlib.datastructure.pta.wrapper.DFAWrapper
getStates() - Method in class de.learnlib.datastructure.pta.wrapper.MealyWrapper
getStates() - Method in class de.learnlib.datastructure.pta.wrapper.MooreWrapper
getSubsequentStepsOutput() - Method in class de.learnlib.exception.MappedException
getSubtreeReplacer() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter subtreeReplacer.
getSucc(Integer, Word) - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
getSucc(S, Word) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
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.observationtable.RowImpl
getSuccessor(int) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
getSuccessor(ADTTransition<I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
getSuccessor(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getSuccessor(TTTStateDFA) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
getSuccessor(TTTTransitionMealy<I, O>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
getSuccessor(TTTStateMoore<I, O>) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
getSuccessor(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.BasePTA
getSuccessor(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.wrapper.MealyWrapper
getSuccessor(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.wrapper.MooreWrapper
getSuccessor(S, Integer) - Method in class de.learnlib.datastructure.pta.BasePTA
getSuccessor(T) - Method in class de.learnlib.algorithm.aaar.TranslatingMealyMachine
getSuccessor(T) - Method in class de.learnlib.algorithm.aaar.TranslatingMooreMachine
getSuffix() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.ContextPair
getSuffix() - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA.PrefixTransformAcex
getSuffix() - Method in class de.learnlib.query.AbstractQuery
getSuffix() - Method in class de.learnlib.query.Query: Returns the suffix part of this query.
getSuffix(int) - Method in class de.learnlib.algorithm.nlstar.ObservationTable
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
getSuffixFinder() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter suffixFinder.
getSuffixFinder() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Returns the current value for the parameter suffixFinder.
getSuffixFinder() - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Returns the current value for the parameter suffixFinder.
getSuffixFinder() - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Returns the current value for the parameter suffixFinder.
getSuffixFinder() - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Returns the current value for the parameter suffixFinder.
getSuffixIdx() - Method in class de.learnlib.algorithm.nlstar.Inconsistency
getSul() - Method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle: Gets the ObservableSUL.
getSUL(Alphabet) - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
getSUL(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractLearnerASTDFATest
getSUL(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractLearnerASTMealyTest
getSUL(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractLearnerASTMooreTest
getSymbol() - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
getSymbol() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.FalseIgnoreResult
getSymbol() - Method in class de.learnlib.algorithm.observationpack.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.
getSymbolFilter() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter symbolFilter.
getSymbolIdx() - Method in class de.learnlib.algorithm.nlstar.Inconsistency
getTarget() - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
getTarget() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getTarget() - Method in class de.learnlib.datastructure.pta.PTATransition
getTarget() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge: The target node from this edge.
getTarget(Node) - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getTarget(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
getTarget(AbstractTTTHypothesis.TTTEdge<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.GraphView
getTarget(ReuseEdge<S, I, O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTree
getTarget(Map.Entry<O, N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
getTarget(Alphabet) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
getTarget(Alphabet) - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetDFATest
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMealyTest
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetMooreTest
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerDFATest
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerMealyTest
getTarget(Alphabet<Character>) - Method in class de.learnlib.testsupport.AbstractResumableLearnerMooreTest
getTargetLocation() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
getTargetNode() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
getTargetNodeForInput(int) - Method in class de.learnlib.filter.reuse.tree.ReuseNode
getTerminatingSequence(I) - Method in interface de.learnlib.algorithm.procedural.sba.ATManager: Returns a terminating sequence for the given procedure.
getTerminatingSequence(I) - Method in class de.learnlib.algorithm.procedural.sba.manager.DefaultATManager
getTerminatingSequence(I) - Method in class de.learnlib.algorithm.procedural.sba.manager.OptimizingATManager
getTerminatingSequence(I) - Method in interface de.learnlib.algorithm.procedural.spa.ATRManager: Returns a terminating sequence for the given procedure.
getTerminatingSequence(I) - Method in class de.learnlib.algorithm.procedural.spa.manager.DefaultATRManager
getTerminatingSequence(I) - Method in class de.learnlib.algorithm.procedural.spa.manager.OptimizingATRManager
getTerminatingSequence(I) - Method in interface de.learnlib.algorithm.procedural.spmm.ATManager: Returns a terminating sequence for the given procedure.
getTerminatingSequence(I) - Method in class de.learnlib.algorithm.procedural.spmm.manager.DefaultATManager
getTerminatingSequence(I) - Method in class de.learnlib.algorithm.procedural.spmm.manager.OptimizingATManager
getTestName() - Method in class de.learnlib.testsupport.it.testcase.AbstractLearnerVariantITCase
getTestName() - Method in class de.learnlib.testsupport.it.testcase.PassiveLearnerVariantITCase
getText(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.getText(StatisticsKey, Object) that uses null as owner.
getText(StatisticsKey, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getText(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Retrieves the text for the given key, written by the given owner.
getTexts(StatisticsKey) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
getTexts(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Returns all stored texts for the given key, grouped by their owners.
getThisStepOutput() - Method in class de.learnlib.exception.MappedException
getTimeOracle() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Returns the current value for the parameter timeOracle.
getTimeout() - Method in class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingOneShotResult
getTimerInfo(long) - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo: Returns the timer with the given initial value.
getTransferSeq(Integer, Integer) - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
getTransferSeq(S, S) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
getTransition(int) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getTransition(int) - Method in class de.learnlib.algorithm.ttt.base.TTTState
getTransition(int, int) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getTransition(HState<I, O, SP, TP>, I) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getTransition(S, CI) - Method in class de.learnlib.algorithm.aaar.TranslatingDFA
getTransition(S, CI) - Method in class de.learnlib.algorithm.aaar.TranslatingMealyMachine
getTransition(S, CI) - Method in class de.learnlib.algorithm.aaar.TranslatingMooreMachine
getTransition(S, I) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
getTransition(S, I) - Method in class de.learnlib.datastructure.pta.wrapper.DFAWrapper
getTransition(S, I) - Method in class de.learnlib.datastructure.pta.wrapper.MealyWrapper
getTransition(S, I) - Method in class de.learnlib.datastructure.pta.wrapper.MooreWrapper
getTransition(S, Integer) - Method in class de.learnlib.datastructure.pta.BasePTA
getTransitionOutput(ADTTransition<I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
getTransitionOutput(TTTTransitionMealy<I, O>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
getTransitionOutput(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.wrapper.MealyWrapper
getTransitionOutput(T) - Method in class de.learnlib.algorithm.aaar.TranslatingMealyMachine
getTransitionProperty(HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
getTransitionProperty(TTTStateDFA) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
getTransitionProperty(TTTTransitionMealy<I, O>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
getTransitionProperty(TTTStateMoore<I, O>) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
getTransitionProperty(PTATransition<S>) - Method in class de.learnlib.datastructure.pta.BasePTA
getTransitions() - Method in class de.learnlib.algorithm.ttt.base.TTTState
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner: Returns a model of the current internal hypothesis model (cf.
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerDFA
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerMealy
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.explicit.ExplicitAAARLearnerMoore
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerDFA
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerMealy
getTranslatingHypothesisModel() - Method in class de.learnlib.algorithm.aaar.generic.GenericAAARLearnerMoore
getTransProperty(int) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
getTree() - Method in class de.learnlib.algorithm.lsharp.LSOracle
getTreeForRepresentative(CI) - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner
getTreeForRepresentative(CI) - Method in class de.learnlib.algorithm.aaar.explicit.AbstractExplicitAAARLearner
getTreeForRepresentative(CI) - Method in class de.learnlib.algorithm.aaar.generic.AbstractGenericAAARLearner
getTreeIncoming() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
getTreeTarget() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
getTreeTarget() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
getTreeTarget() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
getTrueRepresentatives() - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
getUndefinedOutput() - Method in interface de.learnlib.testsupport.example.LearningExample.StateLocalInputMealyLearningExample
getUndefinedOutput() - Method in class de.learnlib.testsupport.example.mealy.ExampleRandomStateLocalInputMealy
getUntimedAlphabet() - Method in interface de.learnlib.testsupport.example.LearningExample.MMLTLearningExample: Returns the direct inputs of the MMLT.
getUpperId() - Method in class de.learnlib.algorithm.nlstar.Row
getUpperPrimes() - Method in class de.learnlib.algorithm.nlstar.ObservationTable
getUpperRow(int) - Method in class de.learnlib.algorithm.nlstar.ObservationTable
getUpperRows() - Method in class de.learnlib.algorithm.nlstar.ObservationTable
getUseObservationTree() - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Returns the current value for the parameter useObservationTree.
getValue() - Method in class de.learnlib.driver.reflect.ReturnValue
getVisualizationHelper() - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
getVisualizationHelper() - Method in interface de.learnlib.algorithm.adt.adt.ADTNode
getVisualizationHelper() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
getVisualizationHelper() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.GraphView
getVisualizationHelper() - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
getVisualizationHelper() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
getVisualizationHelper() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
getVisualizationHelper() - Method in class de.learnlib.datastructure.pta.BasePTA
getVisualizationHelper() - Method in class de.learnlib.filter.reuse.tree.ReuseTree
GlobalSuffixFinder<I,D> - Interface in de.learnlib.counterexample: Interface for a global suffix finder.
GlobalSuffixFinders - Class in de.learnlib.counterexample: A collection of suffix-based global counterexample analyzers.
GlobalSuffixLearner<M,I,D> - Interface in de.learnlib.algorithm: Common interface for learning algorithms that use a global suffix set.
GlobalSuffixLearner.GlobalSuffixLearnerDFA - Interface in de.learnlib.algorithm
GlobalSuffixLearner.GlobalSuffixLearnerMealy<I,O> - Interface in de.learnlib.algorithm
graphView() - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
graphView() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
graphView() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
GraphView() - Constructor for class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
GraphView() - Constructor for class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.GraphView

H

handleClassicLStar(DefaultQuery<I, D>, MutableObservationTable<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
handleCounterexample(DefaultQuery<RI, RD>, MutableObservationTable<RI, RD>, SuffixOutput<RI, RD>, MembershipOracle<RI, RD>) - Method in interface de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandler
handleGlobalSuffixes(MutableObservationTable<I, D>, List<? extends Word>, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
handleLocalSuffix(Query<I, D>, MutableObservationTable<I, D>, int, boolean, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
handleLocalSuffix(Query<I, D>, MutableObservationTable<I, D>, int, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
handleSuffix1by1(DefaultQuery<I, D>, MutableObservationTable<I, D>, MembershipOracle<I, D>) - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
hasCanonicalModel() - Method in class de.learnlib.testsupport.it.testcase.AbstractLearnerVariantITCase
hasCanonicalModel() - Method in class de.learnlib.testsupport.it.testcase.MMLTLearnerITCase
hashCode() - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Returns a hash code value for this object.
hashCode() - Method in class de.learnlib.driver.reflect.Error
hashCode() - Method in class de.learnlib.driver.reflect.ReturnValue
hashCode() - Method in record class de.learnlib.oracle.TimedQueryOracle.TimerQueryResult: Returns a hash code value for this object.
hashCode() - Method in class de.learnlib.query.OmegaQuery
hashCode() - Method in class de.learnlib.query.Query
hashCode() - Method in class de.learnlib.statistic.StatisticsKey
hashCode() - Method in record class de.learnlib.time.MMLTModelParams: Returns a hash code value for this object.
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.lstar.AbstractLStar
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.nlstar.NLStarLearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.procedural.sba.SBALearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.procedural.spa.SPALearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.procedural.spmm.SPMMLearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.sparse.SparseLearner
hasLearningProcessStarted() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
hasLearningProcessStarted() - Method in interface de.learnlib.LearnerStateTracker: Returns whether the learning process has started yet.
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
HState<I,O,SP,TP> - Class in de.learnlib.algorithm.observationpack.hypothesis
HState(int) - Constructor for class de.learnlib.algorithm.observationpack.hypothesis.HState
HState(int, int, HTransition<I, O, SP, TP>) - Constructor for class de.learnlib.algorithm.observationpack.hypothesis.HState
HTransition<I,O,SP,TP> - Class in de.learnlib.algorithm.observationpack.hypothesis
HTransition(HState<I, O, SP, TP>, I, AbstractWordBasedDTNode<I, O, HState<I, O, SP, TP>>) - Constructor for class de.learnlib.algorithm.observationpack.hypothesis.HTransition
hvac() - Static method in class de.learnlib.testsupport.example.mmlt.MMLTExamples: Returns an MMLT example of an HVAC system.
HypIntTrans - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Internal transition.
HypIntTrans(HypLoc, I) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypIntTrans
HypLoc - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Hypothesis location.
HypLoc(VPAlphabet, int, boolean, AbstractHypTrans) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
hypothesis - Variable in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
hypothesis - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
HYPOTHESIS_MODIFICATION_EXCEPTION - Static variable in interface de.learnlib.algorithm.adt.api.PartialTransitionAnalyzer: Global exception instance to avoid (unnecessary) re-instantiation.
HypothesisChangedException - Exception in de.learnlib.algorithm.ttt.base: Exception to indicate structural changes of the hypothesis during counterexample analysis, thus possibly invalidating the counterexample.
HypothesisChangedException() - Constructor for exception de.learnlib.algorithm.ttt.base.HypothesisChangedException
hypothesisOutput() - Method in class de.learnlib.algorithm.lstar.AbstractLStar
hypothesisOutput() - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA
hypothesisOutput() - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy
hypothesisOutput() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
hypothesisOutput() - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMoore
hypothesisOutput() - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore
hypOut() - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Returns the value of the hypOut record component.
HypRetTrans - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Return transition.
HypRetTrans(HypLoc, I, I, HypLoc) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypRetTrans

I

id - Variable in class de.learnlib.algorithm.kv.StateInfo
id - Variable in class de.learnlib.datastructure.pta.AbstractBasePTAState
id - Variable in class de.learnlib.filter.statistic.sul.CounterSUL
identifyFrontier(Word, List<Word>) - Method in class de.learnlib.algorithm.lsharp.LSOracle
identifyFrontierOrBasis(Word) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
IGNORE - Enum constant in enum class de.learnlib.filter.FilterResponse: Indicates that a transition can be ignored for, e.g., hypothesis construction.
IgnoreAllSymbolFilter<U,V> - Class in de.learnlib.filter.symbol: A pass-through filter that ignores all inputs.
IgnoreAllSymbolFilter() - Constructor for class de.learnlib.filter.symbol.IgnoreAllSymbolFilter
ignoreAndContinue(O) - Static method in class de.learnlib.exception.MappedException
IN_LOVES - Static variable in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
IN_MARY - Static variable in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
IN_PAUL - Static variable in class de.learnlib.testsupport.example.dfa.ExamplePaulAndMary
InclusionOracle<A extends Output<I,D>,I,D> - Interface in de.learnlib.oracle: Decides whether the language of a given hypothesis is included in some other language (e.g., from a SUL).
InclusionOracle.DFAInclusionOracle - Interface in de.learnlib.oracle
InclusionOracle.MealyInclusionOracle<I,O> - Interface in de.learnlib.oracle
Inconsistency - Class in de.learnlib.algorithm.nlstar: An (RFSA) inconsistency in an ObservationTable.
Inconsistency - Class in de.learnlib.datastructure.observationtable: A description of an inconsistency in an GenericObservationTable.
Inconsistency(Row, Row, int, int) - Constructor for class de.learnlib.algorithm.nlstar.Inconsistency: Constructor.
Inconsistency(Row, Row, I) - Constructor for class de.learnlib.datastructure.observationtable.Inconsistency
incorporateCounterExample(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lstar.AbstractLStar: Incorporates the information provided by a counterexample into the observation data structure.
increaseCounter(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.increaseCounter(StatisticsKey, long) that uses 1 as value.
increaseCounter(StatisticsKey, long) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.increaseCounter(StatisticsKey, long, Object) that uses null as owner.
increaseCounter(StatisticsKey, long, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
increaseCounter(StatisticsKey, long, Object) - Method in interface de.learnlib.statistic.StatisticsService: Increases the counter with the given key for the given owner by the provided increment.
increaseCounter(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.increaseCounter(StatisticsKey, long, Object) that uses 1 as value.
IncrementalWMethodEQOracle<A extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
IncrementalWMethodEQOracle(MembershipOracle<I, D>, Alphabet) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
IncrementalWMethodEQOracle(MembershipOracle<I, D>, Alphabet, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
IncrementalWMethodEQOracle(MembershipOracle<I, D>, Alphabet, int, int) - Constructor for class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
init(Consumer<? super PTATransition<S>>) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
initialize() - Method in class de.learnlib.algorithm.nlstar.ObservationTable
initialize() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
initialize() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis: Initializes the automaton, adding an initial state.
initialize(Collection<S>, Function<S, Word>, Function<Word, Word<O>>) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Extended initialization method, that allows to initialize the observation tree with several hypothesis states.
initialize(List<Word>, List<Word>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
initialize(List<Word>, List<Word>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable: Initializes an observation table using a specified set of suffixes.
initialize(S) - Method in class de.learnlib.algorithm.adt.adt.ADT: Initializes the ADT with a single leaf node.
initialize(S) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Initialize the observation tree with initial hypothesis state.
initializeLearning() - Method in class de.learnlib.util.Experiment: Initializes the learning process.
initializeLocation(HypLoc) - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
initializeState(HState<I, D, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
initializeState(TTTState<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: Initializes a state.
initializeState(TTTState<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
initializeState(TTTState<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
initialPrefixes - Variable in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
initialPrefixes() - Static method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
initialPrefixes() - Method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
initialPrefixes() - Method in class de.learnlib.algorithm.lstar.AbstractLStar
initialSuffixes - Variable in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
initialSuffixes() - Static method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar.BuilderDefaults
initialSuffixes() - Method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
initialSuffixes() - Method in class de.learnlib.algorithm.lstar.AbstractLStar: Returns the list of initial suffixes which are used to initialize the table.
initObsTree(List<Pair<Word, Word<O>>>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
initTransitions(TTTTransition<I, D>, int) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: A post-processing hook for transitions created by AbstractTTTLearner.createTransition(TTTState, Object), e.g., after AbstractTTTLearner.initializeState(TTTState) or AbstractTTTLearner.addAlphabetSymbol(Object).
initTransitions(TTTTransition<I, Word<O>>, int) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
innerNodeIterator(N) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators: Returns an iterator that traverses all inner nodes (no leaves) of a subtree of a given discrimination tree node.
inputs - Variable in class de.learnlib.util.Experiment
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(Integer, Word, Word<O>) - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache: Inserts the given trace of input symbols at the given cache state and associates the trace of given output symbols with it.
insert(Word, 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, 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.
insert(Word, Word<O>) - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache: Inserts the given trace of input symbols and associates the trace of given output symbols with it.
insertObservation(Integer, Word, Word<O>) - Method in class de.learnlib.algorithm.lsharp.NormalObservationTree
insertObservation(S, Word, Word<O>) - Method in interface de.learnlib.algorithm.lsharp.ObservationTree
INSTANCE - Static variable in class de.learnlib.driver.reflect.Unobserved
INSTANCE - Static variable in class de.learnlib.driver.reflect.VoidOutput
INTERNAL - Enum constant in enum class de.learnlib.algorithm.ttt.vpa.Splitter.SplitType
internalHyp - Variable in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
InterningMealyMembershipOracle<I,O> - Class in de.learnlib.filter.cache.mealy: A type-specific refinement of InterningMembershipOracle.
InterningMealyMembershipOracle(MembershipOracle.MealyMembershipOracle<I, O>) - Constructor for class de.learnlib.filter.cache.mealy.InterningMealyMembershipOracle: Delegates to InterningMembershipOracle(MembershipOracle).
InterningMembershipOracle<I,D> - Class in de.learnlib.filter.cache: A MembershipOracle that interns query outputs.
InterningMembershipOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.filter.cache.InterningMembershipOracle
InterningMooreMembershipOracle<I,O> - Class in de.learnlib.filter.cache.moore: A type-specific refinement of InterningMembershipOracle.
InterningMooreMembershipOracle(MembershipOracle.MooreMembershipOracle<I, O>) - Constructor for class de.learnlib.filter.cache.moore.InterningMooreMembershipOracle: Delegates to InterningMembershipOracle(MembershipOracle).
IntrusiveList<T extends IntrusiveListEntry<T>> - Class in de.learnlib.datastructure.list: A list that stores elements which directly expose information about their predecessor and successor elements.
IntrusiveList() - Constructor for class de.learnlib.datastructure.list.IntrusiveList
IntrusiveListEntry<T> - Interface in de.learnlib.datastructure.list: A LinkedListEntry refinement specialized for the use in IntrusiveLists.
invariantInputs() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
isAccepting() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
isAccepting() - Method in class de.learnlib.algorithm.ttt.dfa.TTTStateDFA
isAccepting(TTTStateDFA) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
isAccepting(S) - Method in class de.learnlib.algorithm.aaar.TranslatingDFA
isAccepting(S) - Method in class de.learnlib.datastructure.pta.wrapper.DFAWrapper
isAccessSequence(Word) - Method in interface de.learnlib.AccessSequenceTransformer
isAccessSequence(Word) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
isAccessSequence(Word) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
isAccessSequence(Word) - 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.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
isContinuable() - Method in class de.learnlib.algorithm.procedural.SymbolWrapper
isCopy - Variable in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
isCounterexample(DefaultQuery<I, D>, SuffixOutput<I, D>) - Static method in class de.learnlib.util.MQUtil
isCounterExample() - Method in class de.learnlib.algorithm.adt.model.ExtensionResult: Utility method, indicating the search for an extension has revealed a counterexample.
isCounterExample(A, Iterable<? extends I>, D) - Method in interface de.learnlib.oracle.AutomatonOracle: Returns whether the given input and output is a counter example for the given hypothesis.
isCounterExample(A, Iterable<? extends I>, D) - Method in class de.learnlib.oracle.emptiness.AbstractBFEmptinessOracle
isCounterExample(A, Iterable<? extends I>, D) - Method in class de.learnlib.oracle.equivalence.AbstractBFInclusionOracle
isCounterExample(Output<I, D>, Iterable<? extends I>, D) - Method in class de.learnlib.oracle.emptiness.LassoEmptinessOracleImpl
isCounterExample(Output<I, D>, Iterable<? extends I>, D) - Method in interface de.learnlib.oracle.EmptinessOracle
isCounterExample(Output<I, D>, Iterable<? extends I>, D) - Method in interface de.learnlib.oracle.InclusionOracle
isCounterExample(Output<I, D>, Iterable<? extends I>, D) - Method in interface de.learnlib.oracle.LassoOracle: Returns whether the given input and output is a counter example for the given hypothesis.
isDisproved() - Method in class de.learnlib.oracle.property.LoggingPropertyOracle
isDisproved() - Method in interface de.learnlib.oracle.PropertyOracle: Returns whether the property is disproved.
isEmpty() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
isEmpty() - Method in class de.learnlib.datastructure.list.IntrusiveList: Returns whether this list is empty.
isEmpty() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
isIgnorable(Word<TimedInput>, InputSymbol) - Method in class de.learnlib.algorithm.lstar.mmlt.filter.MMLTPerfectSymbolFilter
isIgnorable(Word<TimedInput>, InputSymbol) - Method in class de.learnlib.algorithm.lstar.mmlt.filter.MMLTRandomSymbolFilter
isIgnorable(Word<TimedInput>, InputSymbol) - Method in class de.learnlib.algorithm.lstar.mmlt.filter.MMLTStatisticsSymbolFilter
isIgnorable(Word, V) - Method in class de.learnlib.filter.symbol.AbstractTruthfulSymbolFilter: See SymbolFilter.query(Word, Object).
isInitialConsistencyCheckRequired() - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
isInitialConsistencyCheckRequired() - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable
isInitialized() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
isInitialized() - Method in class de.learnlib.algorithm.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
isLeaf() - Method in interface de.learnlib.algorithm.adt.adt.ADTNode
isLeaf() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
isLeafNode(ADTNode<?, ?, ?>) - Static method in class de.learnlib.algorithm.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.algorithm.nlstar.Row
isNonTree() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
isNormalized() - Method in class de.learnlib.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.algorithm.nlstar.Row
isRed() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
isReplacement() - Method in class de.learnlib.algorithm.adt.model.ExtensionResult: Utility method, indicating if the search for an extending replacement was a success.
isResetNode(ADTNode<?, ?, ?>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
isRoot() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
isRoot() - Method in class de.learnlib.algorithm.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
isSameState(Word, S, Word, S) - Method in class de.learnlib.oracle.membership.SimulatorOmegaOracle: Test for state equivalence by simply invoking Object.equals(Object).
isSameState(Word, S, Word, S) - Method in interface de.learnlib.oracle.OmegaMembershipOracle: Returns whether two states are equal, or if both access sequences w1, and w2 end up in the same state.
isSameState(Word, S, Word, S) - Method in class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracle
isSameState(Word, S, Word, S) - Method in class de.learnlib.oracle.parallelism.StaticParallelOmegaOracle
isShortPrefixRow() - Method in class de.learnlib.algorithm.nlstar.Row
isShortPrefixRow() - Method in interface de.learnlib.datastructure.observationtable.Row: Retrieves whether this row is a short or a long prefix row.
isShortPrefixRow() - Method in class de.learnlib.datastructure.observationtable.RowImpl
isSpanningTreeEdge() - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
isSubkeyOf(StatisticsKey) - Method in class de.learnlib.statistic.StatisticsKey: Returns whether this key is a subkey of the given one.
isSymbolNode(ADTNode<?, ?, ?>) - Static method in class de.learnlib.algorithm.adt.util.ADTUtil
isTemp() - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
isTransitionDefined(ADTState<I, O>, I) - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
isTransitionDefined(S, I) - Method in interface de.learnlib.algorithm.adt.api.PartialTransitionAnalyzer: Check whether the transition in question is defined or not.
isTree() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
isTree() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
isTree() - Method in class de.learnlib.algorithm.ttt.base.TTTTransition
isUltimatelyPeriodic() - Method in class de.learnlib.query.OmegaQuery
isWhite() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
iterator() - Method in class de.learnlib.datastructure.list.IntrusiveList
iterator() - Method in class de.learnlib.datastructure.pta.BasePTA
iterator() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque

K

KearnsVaziraniDFA - Class in de.learnlib.algorithm.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, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA: Constructor.
KearnsVaziraniDFA(Alphabet, MembershipOracle<I, Boolean>, boolean, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA: Constructor.
KearnsVaziraniDFABuilder - Class in de.learnlib.algorithm.kv.dfa: A builder for constructing KearnsVaziraniDFA instances.
KearnsVaziraniDFABuilder() - Constructor for class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Creates a new builder (and may set default values for some parameters).
KearnsVaziraniDFAState - Class in de.learnlib.algorithm.kv.dfa: Class that contains all data that represent the internal state of the KearnsVaziraniDFA learner.
KearnsVaziraniMealy<I,O> - Class in de.learnlib.algorithm.kv.mealy: An adaption of the Kearns/Vazirani algorithm for Mealy machines.
KearnsVaziraniMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy: Constructor.
KearnsVaziraniMealy(Alphabet, MembershipOracle<I, Word<O>>, boolean, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy: Constructor.
KearnsVaziraniMealyBuilder<I,O> - Class in de.learnlib.algorithm.kv.mealy: A builder for constructing KearnsVaziraniMealy instances.
KearnsVaziraniMealyBuilder() - Constructor for class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Creates a new builder (and may set default values for some parameters).
KearnsVaziraniMealyState<I,O> - Class in de.learnlib.algorithm.kv.mealy: Class that contains all data that represent the internal state of the KearnsVaziraniMealy learner.
key(AbstractDTNode<I, D>) - Method in interface de.learnlib.algorithm.lambda.ttt.dt.Children
KEY_CEX_DUR - Static variable in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: The StatisticsKey this class uses for clocking the duration of the counterexample analysis runs.
KEY_CEX_NUM - Static variable in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: The StatisticsKey this class uses for counting the number of counterexample analysis runs.
KEY_COUNT - Static variable in class de.learnlib.filter.statistic.oracle.CounterEQOracle: The StatisticsKey this class uses for counting the number of found counterexamples of the equivalence oracle.
KEY_DUR_CEX - Static variable in class de.learnlib.util.Experiment: The StatisticsKey this class uses for clocking the duration of the counterexample search of the equivalence oracle.
KEY_DUR_LEARN - Static variable in class de.learnlib.util.Experiment: The StatisticsKey this class uses for clocking the duration of the exploration phase of the learning algorithm.
KEY_FALSE_NEGATIVES - Static variable in class de.learnlib.filter.symbol.AbstractStatisticsSymbolFilter: A StatisticsKey for counting the number of falsely ignored transitions (false negatives).
KEY_FINAL_SIZE - Static variable in class de.learnlib.util.Experiment: The StatisticsKey this class uses for counting the size of the final hypothesis.
KEY_INPUT - Static variable in class de.learnlib.filter.statistic.sul.CounterStateLocalInputSUL: The StatisticsKey this class uses for counting the number of input checks executed on the SUL.
KEY_LEN - Static variable in class de.learnlib.filter.statistic.oracle.CounterEQOracle: The StatisticsKey this class uses for counting the number of symbols contained in the found counterexamples.
KEY_QUERIES - Static variable in class de.learnlib.filter.symbol.AbstractStatisticsSymbolFilter: A StatisticsKey for counting the number of queries that this filter has processed.
KEY_QUERY - Static variable in class de.learnlib.filter.statistic.oracle.CounterOracle: The StatisticsKey this class uses for counting the number of queries executed on the membership oracle.
KEY_QUERY - Static variable in class de.learnlib.filter.statistic.sul.CounterSUL: The StatisticsKey this class uses for counting the number of posts executed on the SUL.
KEY_REF - Static variable in class de.learnlib.filter.statistic.learner.RefinementCounterLearner: The StatisticsKey this class uses for counting the number of refinements executed on the learning algorithm.
KEY_REF_DISCR - Static variable in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: The StatisticsKey this class uses for counting the number of refinements due to missing discriminators.
KEY_REF_FI - Static variable in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: The StatisticsKey this class uses for counting the number of refinements due to false ignores by the symbol filter.
KEY_REF_OS - Static variable in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: The StatisticsKey this class uses for counting the number of refinements due to missing one-shot timers.
KEY_REF_RESET - Static variable in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: The StatisticsKey this class uses for counting the number of refinements due to missing resets.
KEY_RESET - Static variable in class de.learnlib.filter.statistic.oracle.CounterAdaptiveQueryOracle: The StatisticsKey this class uses for counting the number of reset and finished queries executed on the membership oracle.
KEY_ROUNDS - Static variable in class de.learnlib.util.Experiment: The StatisticsKey this class uses for counting the number of learning rounds of this experiment.
KEY_SYMBOL - Static variable in class de.learnlib.filter.statistic.oracle.CounterAdaptiveQueryOracle: The StatisticsKey this class uses for counting the number of symbols contained in the executed queries.
KEY_SYMBOL - Static variable in class de.learnlib.filter.statistic.oracle.CounterOracle: The StatisticsKey this class uses for counting the number of symbols contained in the executed queries.
KEY_SYMBOL - Static variable in class de.learnlib.filter.statistic.sul.CounterSUL: The StatisticsKey this class uses for counting the number of steps executed on the SUL.
KEY_TIMESTEPS - Static variable in class de.learnlib.filter.statistic.sul.CounterTimedSUL: The StatisticsKey this class uses for counting the number of time steps executed on the SUL.
KEY_TRUE_NEGATIVES - Static variable in class de.learnlib.filter.symbol.AbstractStatisticsSymbolFilter: A StatisticsKey for counting the number of correctly ignored transitions (true negatives).
keySet() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
KWayStateCoverEQOracle<A extends DeterministicAutomaton.RegularAutomaton<?,I,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: An EquivalenceOracle based on the concepts of mutation testing as described in the paper Learning from Faults: Mutation Testing in Active Automata Learning by Bernhard K.
KWayStateCoverEQOracle(MembershipOracle<I, D>, Random, int, int, KWayStateCoverTestsIterator.CombinationMethod, int) - Constructor for class de.learnlib.oracle.equivalence.KWayStateCoverEQOracle: Constructor.
KWayStateCoverEQOracleBuilder<A extends DeterministicAutomaton.RegularAutomaton<?,I,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: A builder for constructing KWayStateCoverEQOracle instances.
KWayStateCoverEQOracleBuilder() - Constructor for class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Creates a new builder (and may set default values for some parameters).
KWayTransitionCoverEQOracle<A extends DeterministicAutomaton.RegularAutomaton<?,I,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: An EquivalenceOracle based on the concepts of mutation testing as described in the paper Learning from Faults: Mutation Testing in Active Automata Learning by Bernhard K.
KWayTransitionCoverEQOracle(MembershipOracle<I, D>, Random, int, int, int, int, int, KWayTransitionCoverTestsIterator.OptimizationMetric, KWayTransitionCoverTestsIterator.GenerationMethod, int) - Constructor for class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracle: Constructor.
KWayTransitionCoverEQOracleBuilder<A extends DeterministicAutomaton.RegularAutomaton<?,I,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: A builder for constructing KWayTransitionCoverEQOracle instances.
KWayTransitionCoverEQOracleBuilder() - Constructor for class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Creates a new builder (and may set default values for some parameters).

L

LassoEmptinessOracle<L extends Lasso<I,D>,I,D> - Interface in de.learnlib.oracle: An emptiness oracle for lassos.
LassoEmptinessOracle.DFALassoEmptinessOracle - Interface in de.learnlib.oracle
LassoEmptinessOracle.MealyLassoEmptinessOracle<I,O> - Interface in de.learnlib.oracle
LassoEmptinessOracleImpl<L extends Lasso<I,D>,S,I,D> - Class in de.learnlib.oracle.emptiness
LassoEmptinessOracleImpl(OmegaMembershipOracle<S, I, D>) - Constructor for class de.learnlib.oracle.emptiness.LassoEmptinessOracleImpl
LassoOracle<L extends Lasso<I,D>,I,D> - Interface in de.learnlib.oracle: An automaton oracle for lassos.
LassoOracle.DFALassoOracle - Interface in de.learnlib.oracle
LassoOracle.MealyLassoOracle<I,O> - Interface in de.learnlib.oracle
lcaInfo(N, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree: Fetches for two nodes information about their lowest common ancestor in this discrimination tree.
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
LEAF_NODE - Enum constant in enum class de.learnlib.algorithm.adt.adt.ADTNode.NodeType
leafIterator(N) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators: Returns an iterator that traverses all leaves (no inner nodes) of a subtree of a given discrimination tree node.
LeafSplitter - Interface in de.learnlib.algorithm.adt.api: Interface for configuration objects that specify how to split the ADT leaf of a hypothesis state that needs refinement.
LeafSplitters - Class in de.learnlib.algorithm.adt.config: A collection of default LeafSplitter configurations.
learner - Variable in class de.learnlib.testsupport.AbstractLearnerASTTest
LearnerConstructor<L,I,D> - Interface in de.learnlib.algorithm: A simplified view on the constructor of a learning algorithm that only requires an Alphabet definition and a MembershipOracle.
LearnerITUtil - Class in de.learnlib.testsupport.it.util: Utility class for integration tests for a learning algorithm (or "learner").
LearnerStateTracker - Interface in de.learnlib: A utility interface for managing the learner state as required by the LearningAlgorithm contract.
LearnerVariant<M,I,D> - Class in de.learnlib.testsupport.it.variant
LearnerVariantList<M,I,D> - Interface in de.learnlib.testsupport.it.variant: A write-only list to store multiple variants of a learning algorithm.
LearnerVariantList.DFALearnerVariantList - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.MealyLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.MealySymLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.MMLTLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.MooreLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.MooreSymLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.OneSEVPALearnerVariantList - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.SBALearnerVariantList - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.SPALearnerVariantList - Interface in de.learnlib.testsupport.it.variant
LearnerVariantList.SPMMLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
LearnerVariantListImpl<M,I,D> - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl
LearnerVariantListImpl.DFALearnerVariantListImpl - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.MealyLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.MealySymLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.MMLTLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.MooreLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.MooreSymLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.OneSEVPALearnerVariantListImpl - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.SBALearnerVariantListImpl - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.SPALearnerVariantListImpl - Class in de.learnlib.testsupport.it.variant
LearnerVariantListImpl.SPMMLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
learningAlgorithm - Variable in class de.learnlib.util.Experiment
LearningAlgorithm<M,I,D> - Interface in de.learnlib.algorithm: Basic interface for a model inference algorithm.
LearningAlgorithm.DFALearner - Interface in de.learnlib.algorithm
LearningAlgorithm.MealyLearner<I,O> - Interface in de.learnlib.algorithm
LearningAlgorithm.MooreLearner<I,O> - Interface in de.learnlib.algorithm
LearningAlgorithm.NFALearner - Interface in de.learnlib.algorithm
LearningCache<A,I,O> - Interface in de.learnlib.filter.cache: Interface for a cache used in automata learning.
LearningCache.DFALearningCache - 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.
LearningCache.MMLTLearningCache<I,O> - Interface in de.learnlib.filter.cache: Specialization of the LearningCache interface for MMLT learning.
LearningCache.MooreLearningCache<I,O> - Interface in de.learnlib.filter.cache: Specialization of the LearningCache interface for Moore machine learning.
LearningCacheOracle<A,I,D> - Interface in de.learnlib.filter.cache: A learning cache that also serves as a membership oracle.
LearningCacheOracle.DFALearningCacheOracle - 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.
LearningCacheOracle.MMMLTLearningCacheOracle<I,O> - Interface in de.learnlib.filter.cache: Specialization of the LearningCacheOracle interface for MMLT learning.
LearningCacheOracle.MooreLearningCacheOracle<I,O> - Interface in de.learnlib.filter.cache: Specialization of the LearningCacheOracle interface for Moore machine learning.
LearningExample<I,A> - Interface in de.learnlib.testsupport.example
LearningExample.DFALearningExample - Interface in de.learnlib.testsupport.example
LearningExample.MealyLearningExample<I,O> - Interface in de.learnlib.testsupport.example
LearningExample.MMLTLearningExample<I,O> - Interface in de.learnlib.testsupport.example
LearningExample.MooreLearningExample<I,O> - Interface in de.learnlib.testsupport.example
LearningExample.OneSEVPALearningExample - Interface in de.learnlib.testsupport.example
LearningExample.SBALearningExample - Interface in de.learnlib.testsupport.example
LearningExample.SPALearningExample - Interface in de.learnlib.testsupport.example
LearningExample.SPMMLearningExample<I,O> - Interface in de.learnlib.testsupport.example
LearningExample.SSTLearningExample<I,O> - Interface in de.learnlib.testsupport.example
LearningExample.StateLocalInputMealyLearningExample<I,O> - Interface in de.learnlib.testsupport.example: A LearningExample refinement for StateLocalInputMealyMachine.
LearningExample.UniversalDeterministicLearningExample<I,A extends UniversalAutomaton<?,I,?,?,?>> - Interface in de.learnlib.testsupport.example
LearningExamples - Class in de.learnlib.testsupport.example
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
LearnLibProperty - Enum Class in de.learnlib.setting: An enum of all the system properties currently used by LearnLib.
LearnLibSettings - Class in de.learnlib.setting
LearnLibSettingsSource - Interface in de.learnlib.setting
LearnLibSystemPropertiesAutomataLibSettingsSource - Class in de.learnlib.setting.sources
LearnLibSystemPropertiesAutomataLibSettingsSource() - Constructor for class de.learnlib.setting.sources.LearnLibSystemPropertiesAutomataLibSettingsSource
LearnLibSystemPropertiesSource - Class in de.learnlib.setting.sources
LearnLibSystemPropertiesSource() - Constructor for class de.learnlib.setting.sources.LearnLibSystemPropertiesSource
leastCommonAncestor - Variable in class de.learnlib.datastructure.discriminationtree.model.LCAInfo
leastCommonAncestor(N, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
leaves() - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
length() - Method in class de.learnlib.query.Query: Returns the number of symbols of this query by adding the lengths of the prefix and suffix.
LEVELED_BEST_EFFORT - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
LEVELED_MIN_LENGTH - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
LEVELED_MIN_SIZE - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
LevelOrderReplacer - Class in de.learnlib.algorithm.adt.config.model.replacer
LevelOrderReplacer(ADSCalculator) - Constructor for class de.learnlib.algorithm.adt.config.model.replacer.LevelOrderReplacer
LEX_ORDER - Enum constant in enum class de.learnlib.datastructure.pta.config.DefaultProcessingOrders: Processes blue states in ascending lexicographical order of their access sequences.
lexCompareTo(S) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
LIFO - Enum constant in enum class de.learnlib.filter.reuse.tree.BoundedDeque.AccessPolicy: Last-in first-out.
LIFO_ORDER - Enum constant in enum class de.learnlib.datastructure.pta.config.DefaultProcessingOrders: Processes blue states in a last-in, first-out (stack-like) manner.
LINEAR_BWD - Static variable in class de.learnlib.acex.AcexAnalyzers: Analyzer that linearly scans through the abstract counterexample in descending order.
LINEAR_FWD - Static variable in class de.learnlib.acex.AcexAnalyzers: Analyzer that linearly scans through the abstract counterexample in ascending order.
linearSearchBwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.AcexAnalysisAlgorithms: Scan linearly through the counterexample in descending order.
linearSearchFwd(AbstractCounterexample<E>, int, int) - Static method in class de.learnlib.acex.AcexAnalysisAlgorithms: Scan linearly through the counterexample in ascending order.
link(DTNode, HypLoc) - Static method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
link(AbstractBaseDTNode<I, D>, TTTState<I, D>) - Static method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: Establish the connection between a node in the discrimination tree and a state of the hypothesis.
LLambdaDFA - Class in de.learnlib.algorithm.lambda.lstar
LLambdaDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
LLambdaDFA(Alphabet, MembershipOracle<I, Boolean>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
LLambdaMealy<I,O> - Class in de.learnlib.algorithm.lambda.lstar
LLambdaMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
LLambdaMealy(Alphabet, MembershipOracle<I, Word<O>>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
LLambdaState<I,D> - Class in de.learnlib.algorithm.lambda.lstar: State class for making LLambdaDFA and LLambdaMealy resumable.
loadLearnLibV2Benchmark(String) - Static method in class de.learnlib.testsupport.example.dfa.DFABenchmarks
loadPeterson2() - Static method in class de.learnlib.testsupport.example.dfa.DFABenchmarks
loadPeterson3() - Static method in class de.learnlib.testsupport.example.dfa.DFABenchmarks
loadPots2() - Static method in class de.learnlib.testsupport.example.dfa.DFABenchmarks
loadPots3() - Static method in class de.learnlib.testsupport.example.dfa.DFABenchmarks
LocalSuffixFinder<I,D> - Interface in de.learnlib.counterexample: Suffix-based local counterexample analyzer.
LocalSuffixFinders - Class in de.learnlib.counterexample: A collection of suffix-based local counterexample analyzers.
location - Variable in class de.learnlib.algorithm.ttt.vpa.Splitter
LocationTimerInfo<I,O> - Class in de.learnlib.algorithm.lstar.mmlt: Stores information about local timers of a location.
LocationTimerInfo(Word<TimedInput>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo
lock() - Method in class de.learnlib.testsupport.it.util.LockableOracle: Locks this oracle.
LockableOracle<I,D> - Class in de.learnlib.testsupport.it.util: A lockable oracle is a MembershipOracle whose actions can be blocked by setting its lock.
LockableOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.testsupport.it.util.LockableOracle: Constructor.
LOGGER - Static variable in class de.learnlib.util.Experiment
LoggingPropertyOracle<I,A extends Output<I,D>,P,D> - Class in de.learnlib.oracle.property: A PropertyOracle that performs logging.
LoggingPropertyOracle(PropertyOracle<I, A, P, D>) - Constructor for class de.learnlib.oracle.property.LoggingPropertyOracle: Constructs a new LoggingPropertyOracle.
longestASPrefix(Word) - Method in interface de.learnlib.AccessSequenceTransformer
LSharpMealy<I,O> - Class in de.learnlib.algorithm.lsharp: Implementation of the L^# algorithm for MealyMachines.
LSharpMealy(Alphabet, AdaptiveMembershipOracle<I, O>) - Constructor for class de.learnlib.algorithm.lsharp.LSharpMealy
LSharpMealy(Alphabet, AdaptiveMembershipOracle<I, O>, Rule2, Rule3, Word, O, Random) - Constructor for class de.learnlib.algorithm.lsharp.LSharpMealy
LSharpMealyBuilder<I,O> - Class in de.learnlib.algorithm.lsharp: A builder for constructing LSharpMealy instances.
LSharpMealyBuilder() - Constructor for class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Creates a new builder (and may set default values for some parameters).
LSOracle<I,O> - Class in de.learnlib.algorithm.lsharp
LSOracle(AdaptiveMembershipOracle<I, O>, NormalObservationTree<I, O>, Rule2, Rule3, Word, O, Random) - Constructor for class de.learnlib.algorithm.lsharp.LSOracle
LStarDFAUtil - Class in de.learnlib.algorithm.lstar.dfa
LStarMealyUtil - Class in de.learnlib.algorithm.lstar.mealy
LStarMooreUtil - Class in de.learnlib.algorithm.lstar.moore

M

makeBlue() - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
makeConsistent(MembershipOracle<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
makeConsistent(MembershipOracle<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
makeConsistent(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
makeObsTreeAdequate() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
makeRed(int) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
makeShort(int) - Method in class de.learnlib.datastructure.observationtable.RowImpl: Makes this row a short label row.
makeShortPrefix(MembershipOracle<I, D>) - Method in interface de.learnlib.algorithm.lambda.ttt.pt.PTNode
makeShortPrefix(MembershipOracle<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
makeShortPrefix(MembershipOracle<I, D>, PTNode<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.dt.DTLeaf
makeSink(Integer) - Method in class de.learnlib.algorithm.lsharp.LSOracle
makeTree(HState<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
makeTree(AbstractHypTrans) - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
makeTree(HypLoc) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
makeTree(TTTTransition<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
makeTree(TTTTransition<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.PrefixTTTLearnerDFA
makeUpper(List<Row>) - Method in class de.learnlib.algorithm.nlstar.ObservationTable
MALER_PNUELI - Static variable in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
MALER_PNUELI - Static variable in class de.learnlib.counterexample.GlobalSuffixFinders: Adds all suffixes of the input word, as suggested by Maler & Pnueli.
MalerPnueliDFA - Class in de.learnlib.algorithm.malerpnueli: A DFA-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Maler & Pnueli.
MalerPnueliDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliDFA
MalerPnueliDFA(Alphabet, MembershipOracle<I, Boolean>, List<Word>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliDFA
MalerPnueliDFABuilder - Class in de.learnlib.algorithm.malerpnueli: A builder for constructing MalerPnueliDFA instances.
MalerPnueliDFABuilder() - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Creates a new builder (and may set default values for some parameters).
MalerPnueliMealy<I,O> - Class in de.learnlib.algorithm.malerpnueli: A MealyMachine-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Maler & Pnueli.
MalerPnueliMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliMealy
MalerPnueliMealy(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliMealy
MalerPnueliMealyBuilder<I,O> - Class in de.learnlib.algorithm.malerpnueli: A builder for constructing MalerPnueliMealy instances.
MalerPnueliMealyBuilder() - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Creates a new builder (and may set default values for some parameters).
MalerPnueliMoore<I,O> - Class in de.learnlib.algorithm.malerpnueli: A MooreMachine-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Maler & Pnueli.
MalerPnueliMoore(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliMoore
MalerPnueliMoore(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliMoore
MalerPnueliMooreBuilder<I,O> - Class in de.learnlib.algorithm.malerpnueli: A builder for constructing MalerPnueliMoore instances.
MalerPnueliMooreBuilder() - Constructor for class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Creates a new builder (and may set default values for some parameters).
mapInput(AI) - Method in interface de.learnlib.Mapper: Method that maps an abstract input to a corresponding concrete input.
mapInput(MethodInput) - Method in class de.learnlib.driver.reflect.SimplePOJOExceptionMapper
mapInput(String) - Method in class de.learnlib.mapper.StringMapper
mapOutput(CO) - Method in interface de.learnlib.Mapper: Method that maps a concrete output to a corresponding abstract output.
mapOutput(MethodOutput) - Method in class de.learnlib.driver.reflect.SimplePOJOExceptionMapper
mapOutput(Object) - Method in class de.learnlib.mapper.StringMapper
MappedException<O> - Class in de.learnlib.exception: A mapped exception allows one to gracefully handle exceptions thrown, e.g., during a SUL's step method by providing information about the output symbol that should be emitted instead and subsequent outputs.
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: 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: A mapper refinement to establish the contract of an asynchronous, query-wise translation of input words.
Mapper.SynchronousMapper<AI,AO,CI,CO> - Interface in de.learnlib: 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.
MapStatisticsProvider - Class in de.learnlib.filter.statistic
MapStatisticsProvider() - Constructor for class de.learnlib.filter.statistic.MapStatisticsProvider
MapStatisticsService - Class in de.learnlib.filter.statistic.container: A StatisticsService that stores all statistics in a Map.
MapStatisticsService() - Constructor for class de.learnlib.filter.statistic.container.MapStatisticsService
mapTransition(TTTTransition<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
mapTransition(TTTTransition<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
mapTransition(TTTTransition<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
mapTransition(TTTTransition<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
MapTransitions<I,O> - Class in de.learnlib.algorithm.lsharp
MapTransitions(int) - Constructor for class de.learnlib.algorithm.lsharp.MapTransitions
mapUnwrappedException(RuntimeException) - Method in class de.learnlib.driver.reflect.SimplePOJOExceptionMapper
mapUnwrappedException(RuntimeException) - Method in interface de.learnlib.sul.SULMapper: Maps an unwrapped RuntimeException to an abstract output symbol, or rethrows it if it is unmappable.
mapWrappedException(SULException) - Method in interface de.learnlib.sul.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.
maximalBaseInput(ObservationTree<S, I, O>, Collection<S>, Map<I, Pair<Integer, Integer>>) - Static method in class de.learnlib.algorithm.lsharp.ads.ADSTree
maxSearchIndex(int) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
maxSearchIndex(int) - Method in class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
maxSearchIndex(int) - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
maxSystemStates() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
maxTimeoutWaitingTime() - Method in record class de.learnlib.time.MMLTModelParams: Returns the value of the maxTimeoutWaitingTime record component.
maxTimerQueryWaitingTime() - Method in record class de.learnlib.time.MMLTModelParams: Returns the value of the maxTimerQueryWaitingTime record component.
MealyBFEmptinessOracle<I,O> - Class in de.learnlib.oracle.emptiness: A type-specific refinement of AbstractBFEmptinessOracle.
MealyBFEmptinessOracle(MembershipOracle.MealyMembershipOracle<I, O>, double) - Constructor for class de.learnlib.oracle.emptiness.MealyBFEmptinessOracle: Delegates to AbstractBFEmptinessOracle(MembershipOracle, double).
MealyBFInclusionOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of AbstractBFInclusionOracle.
MealyBFInclusionOracle(MembershipOracle.MealyMembershipOracle<I, O>, double) - Constructor for class de.learnlib.oracle.equivalence.MealyBFInclusionOracle: Delegates to AbstractBFInclusionOracle(MembershipOracle, double).
MealyCacheConsistencyTest<I,O> - Class in de.learnlib.filter.cache.mealy: An EquivalenceOracle that tests a hypothesis for consistency with the contents of a MealyCacheOracle.
MealyCacheConsistencyTest(IncrementalMealyBuilder<I, O>) - Constructor for class de.learnlib.filter.cache.mealy.MealyCacheConsistencyTest: Constructor.
MealyCacheOracle<I,O> - Class in de.learnlib.filter.cache.mealy: Mealy cache.
MealyCacheOracle.MealyCacheOracleState<I,O> - Class in de.learnlib.filter.cache.mealy
MealyCaches - Class in de.learnlib.filter.cache.mealy: A factory for creating caches for mealy-based MembershipOracles.
MealyCExFirstOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of CExFirstOracle.
MealyCExFirstOracle() - Constructor for class de.learnlib.oracle.equivalence.MealyCExFirstOracle: Delegates to CExFirstOracle().
MealyCExFirstOracle(PropertyOracle.MealyPropertyOracle<I, O, ?>) - Constructor for class de.learnlib.oracle.equivalence.MealyCExFirstOracle: Delegates to CExFirstOracle(PropertyOracle).
MealyCExFirstOracle(Collection<? extends PropertyOracle.MealyPropertyOracle<I, O, ?>>) - Constructor for class de.learnlib.oracle.equivalence.MealyCExFirstOracle: Delegates to CExFirstOracle(Collection).
MealyCompleteExplorationEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of CompleteExplorationEQOracle.
MealyCompleteExplorationEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int) - Constructor for class de.learnlib.oracle.equivalence.MealyCompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int).
MealyCompleteExplorationEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyCompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int, int).
MealyCompleteExplorationEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyCompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int, int, int).
MealyCounterOracle<I,O> - Class in de.learnlib.filter.statistic.oracle: A type-specific refinement of CounterOracle.
MealyCounterOracle(MembershipOracle.MealyMembershipOracle<I, O>) - Constructor for class de.learnlib.filter.statistic.oracle.MealyCounterOracle: Delegates to CounterOracle(MembershipOracle).
MealyCounterOracle(MembershipOracle.MealyMembershipOracle<I, O>, String) - Constructor for class de.learnlib.filter.statistic.oracle.MealyCounterOracle: Delegates to CounterOracle(MembershipOracle, String).
MealyDHC<I,O> - Class in de.learnlib.algorithm.dhc.mealy: The DHC learner.
MealyDHC(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.dhc.mealy.MealyDHC: Constructor, provided for backwards compatibility reasons.
MealyDHC(Alphabet, MembershipOracle<I, Word<O>>, GlobalSuffixFinder<? super I, ? super Word<O>>, Collection<? extends Word>) - Constructor for class de.learnlib.algorithm.dhc.mealy.MealyDHC: Constructor.
MealyDHCBuilder<I,O> - Class in de.learnlib.algorithm.dhc.mealy: A builder for constructing MealyDHC instances.
MealyDHCBuilder() - Constructor for class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Creates a new builder (and may set default values for some parameters).
MealyDHCState<I,O> - Class in de.learnlib.algorithm.dhc.mealy: Class that contains all data that represent the internal state of the MealyDHC learner.
MealyDisproveFirstOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of DisproveFirstOracle.
MealyDisproveFirstOracle() - Constructor for class de.learnlib.oracle.equivalence.MealyDisproveFirstOracle: Delegates to DisproveFirstOracle().
MealyDisproveFirstOracle(PropertyOracle.MealyPropertyOracle<I, O, ?>) - Constructor for class de.learnlib.oracle.equivalence.MealyDisproveFirstOracle: Delegates to DisproveFirstOracle(PropertyOracle).
MealyDisproveFirstOracle(Collection<? extends PropertyOracle.MealyPropertyOracle<I, O, ?>>) - Constructor for class de.learnlib.oracle.equivalence.MealyDisproveFirstOracle: Delegates to DisproveFirstOracle(Collection).
MealyEQOracleChain<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of EQOracleChain.
MealyEQOracleChain(EquivalenceOracle.MealyEquivalenceOracle<I, O>...) - Constructor for class de.learnlib.oracle.equivalence.MealyEQOracleChain: Delegates to EQOracleChain(EquivalenceOracle[]).
MealyEQOracleChain(List<? extends EquivalenceOracle.MealyEquivalenceOracle<I, O>>) - Constructor for class de.learnlib.oracle.equivalence.MealyEQOracleChain: Delegates to EQOracleChain(List).
MealyExperiment<I,O> - Class in de.learnlib.util: A type-specific refinement of Experiment.
MealyExperiment(LearningAlgorithm.MealyLearner<I, O>, EquivalenceOracle.MealyEquivalenceOracle<I, O>, Alphabet) - Constructor for class de.learnlib.util.MealyExperiment: Delegates to Experiment(LearningAlgorithm, EquivalenceOracle, Alphabet).
MealyExperiment(LearningAlgorithm.MealyLearner<I, O>, EquivalenceOracle.MealyEquivalenceOracle<I, O>, Alphabet, InputModelSerializer<I, ? super MealyMachine<?, I, ?, O>>) - Constructor for class de.learnlib.util.MealyExperiment: Delegates to Experiment(LearningAlgorithm, EquivalenceOracle, Alphabet, InputModelSerializer).
MealyFinitePropertyOracle<I,O,P> - Class in de.learnlib.oracle.property: A type-specific refinement of BasePropertyOracle.
MealyFinitePropertyOracle(P, InclusionOracle.MealyInclusionOracle<I, O>, EmptinessOracle.MealyEmptinessOracle<I, O>, ModelChecker.MealyModelChecker<I, O, P, MealyMachine<?, I, ?, O>>) - Constructor for class de.learnlib.oracle.property.MealyFinitePropertyOracle: Delegates to BasePropertyOracle(java.lang.Object, InclusionOracle, EmptinessOracle, ModelChecker).
MealyIncrementalWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of IncrementalWMethodEQOracle.
MealyIncrementalWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, Alphabet) - Constructor for class de.learnlib.oracle.equivalence.MealyIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet).
MealyIncrementalWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, Alphabet, int) - Constructor for class de.learnlib.oracle.equivalence.MealyIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet, int).
MealyIncrementalWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, Alphabet, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet, int, int).
MealyLassoEmptinessOracleImpl<S,I,O> - Class in de.learnlib.oracle.emptiness: A type-specific refinement of LassoEmptinessOracleImpl.
MealyLassoEmptinessOracleImpl(OmegaMembershipOracle.MealyOmegaMembershipOracle<S, I, O>) - Constructor for class de.learnlib.oracle.emptiness.MealyLassoEmptinessOracleImpl: Delegates to LassoEmptinessOracleImpl(OmegaMembershipOracle).
MealyLassoPropertyOracle<I,O,P> - Class in de.learnlib.oracle.property: A type-specific refinement of BasePropertyOracle.
MealyLassoPropertyOracle(P, InclusionOracle.MealyInclusionOracle<I, O>, LassoEmptinessOracle.MealyLassoEmptinessOracle<I, O>, ModelCheckerLasso.MealyModelCheckerLasso<I, O, P>) - Constructor for class de.learnlib.oracle.property.MealyLassoPropertyOracle: Delegates to BasePropertyOracle(java.lang.Object, InclusionOracle, de.learnlib.oracle.EmptinessOracle, net.automatalib.modelchecking.ModelChecker).
MealyLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MealyLearnerVariantListImpl
MealyLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.PassiveLearnerVariantListImpl.MealyLearnerVariantListImpl
MealyLockableOracle<I,O> - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
MealyLockableOracle(MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.testsupport.it.util.MealyLockableOracle: Delegates to LockableOracle(MembershipOracle).
MealyLoggingPropertyOracle<I,O,P> - Class in de.learnlib.oracle.property: A type-specific refinement of LoggingPropertyOracle.
MealyLoggingPropertyOracle(PropertyOracle.MealyPropertyOracle<I, O, P>) - Constructor for class de.learnlib.oracle.property.MealyLoggingPropertyOracle: Delegates to LoggingPropertyOracle(PropertyOracle).
MealyOutInconsPrefixTransformAcex<I,O> - Class in de.learnlib.acex
MealyOutInconsPrefixTransformAcex(Word, MembershipOracle<I, Word<O>>, Function<Word, Word>) - Constructor for class de.learnlib.acex.MealyOutInconsPrefixTransformAcex
MealyPropertyOracleChain<I,O,P> - Class in de.learnlib.oracle.property: A type-specific refinement of PropertyOracleChain.
MealyPropertyOracleChain(PropertyOracle.MealyPropertyOracle<I, O, P>...) - Constructor for class de.learnlib.oracle.property.MealyPropertyOracleChain: Delegates to PropertyOracleChain(PropertyOracle[]).
MealyPropertyOracleChain(Collection<? extends PropertyOracle.MealyPropertyOracle<I, O, P>>) - Constructor for class de.learnlib.oracle.property.MealyPropertyOracleChain: Delegates to PropertyOracleChain(Collection).
MealyRandomWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWMethodEQOracle.
MealyRandomWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int).
MealyRandomWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int).
MealyRandomWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int, int).
MealyRandomWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int, Random, int).
MealyRandomWordsEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWordsEQOracle.
MealyRandomWordsEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int).
MealyRandomWordsEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int, Random) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int, Random).
MealyRandomWordsEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int, Random, int).
MealyRandomWpMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWpMethodEQOracle.
MealyRandomWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int).
MealyRandomWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int).
MealyRandomWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int, int).
MealyRandomWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.MealyRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int, Random, int).
MealyRefinementCounterLearner<I,O> - Class in de.learnlib.filter.statistic.learner: A type-specific refinement of RefinementCounterLearner.
MealyRefinementCounterLearner(LearningAlgorithm.MealyLearner<I, O>) - Constructor for class de.learnlib.filter.statistic.learner.MealyRefinementCounterLearner: Delegates to RefinementCounterLearner(LearningAlgorithm).
MealyRefinementCounterLearner(LearningAlgorithm.MealyLearner<I, O>, String) - Constructor for class de.learnlib.filter.statistic.learner.MealyRefinementCounterLearner: Delegates to RefinementCounterLearner(LearningAlgorithm, String).
MealySimulatorEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of SimulatorEQOracle.
MealySimulatorEQOracle(MealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.oracle.equivalence.MealySimulatorEQOracle: Delegates to SimulatorEQOracle(net.automatalib.automaton.UniversalDeterministicAutomaton.RegularAutomaton).
MealySimulatorOmegaOracle(MealyMachine<S, I, ?, O>) - Constructor for class de.learnlib.oracle.membership.SimulatorOmegaOracle.MealySimulatorOmegaOracle
MealySimulatorOracle<I,O> - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
MealySimulatorOracle(MealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.oracle.membership.MealySimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
MealySimulatorSUL<I,O> - Class in de.learnlib.driver.simulator: A SUL that implements steps by stepping through a MealyMachine.
MealySimulatorSUL(MealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.driver.simulator.MealySimulatorSUL: Constructor, using null as the output for undefined transitions.
MealySimulatorSUL(MealyMachine<?, I, ?, O>, O) - Constructor for class de.learnlib.driver.simulator.MealySimulatorSUL: Constructor.
MealySymLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MealySymLearnerVariantListImpl
MealyUtil - Class in de.learnlib.util.mealy: Utility class helping to unify various approaches to actively learning Mealy machines.
MealyWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of WMethodEQOracle.
MealyWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>) - Constructor for class de.learnlib.oracle.equivalence.MealyWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle).
MealyWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int) - Constructor for class de.learnlib.oracle.equivalence.MealyWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int).
MealyWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int, int).
MealyWMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int, int, int).
MealyWpMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of WpMethodEQOracle.
MealyWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>) - Constructor for class de.learnlib.oracle.equivalence.MealyWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle).
MealyWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int) - Constructor for class de.learnlib.oracle.equivalence.MealyWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int).
MealyWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int, int).
MealyWpMethodEQOracle(MembershipOracle.MealyMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MealyWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int, int, int).
MealyWrapper<S extends AbstractBasePTAState<S,Void,O>,I,O> - Class in de.learnlib.datastructure.pta.wrapper
MealyWrapper(Alphabet, BasePTA<S, Void, O>) - Constructor for class de.learnlib.datastructure.pta.wrapper.MealyWrapper
MembershipOracle<I,D> - Interface in de.learnlib.oracle: Membership oracle interface.
MembershipOracle.DFAMembershipOracle - Interface in de.learnlib.oracle: A specialization of the MembershipOracle that binds the output domain to Booleans.
MembershipOracle.MealyMembershipOracle<I,O> - Interface in de.learnlib.oracle: A specialization of the MembershipOracle that binds the output domain to Words of the specified output type.
MembershipOracle.MooreMembershipOracle<I,O> - Interface in de.learnlib.oracle: A specialization of the MembershipOracle that binds the output domain to Words of the specified output type.
merge() - Method in class de.learnlib.datastructure.pta.RedBlueMerge
mergeADS(ADTNode<S, I, O>, ADTNode<S, I, O>) - Static method in class de.learnlib.algorithm.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.AbstractBasePTAState
mergeTransitionProperty(int, int, TP) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
MethodInput - Class in de.learnlib.driver.reflect: An input symbol that represents a call to a method with a specific set of parameters.
MethodInput(String, Method, Object[]) - Constructor for class de.learnlib.driver.reflect.MethodInput
MethodOutput - Class in de.learnlib.driver.reflect: Abstract output of a method.
MethodOutput() - Constructor for class de.learnlib.driver.reflect.MethodOutput
MIN_BATCH_SIZE - Static variable in class de.learnlib.oracle.parallelism.BatchProcessorDefaults
MinLengthCalculator - Class in de.learnlib.algorithm.adt.config.model.calculator
MinLengthCalculator() - Constructor for class de.learnlib.algorithm.adt.config.model.calculator.MinLengthCalculator
MinSizeCalculator - Class in de.learnlib.algorithm.adt.config.model.calculator
MinSizeCalculator() - Constructor for class de.learnlib.algorithm.adt.config.model.calculator.MinSizeCalculator
MissingDiscriminatorResult<I,O> - Class in de.learnlib.algorithm.lstar.mmlt.cex.results: The target at the identified transition is incorrect due to a missing discriminator.
MissingDiscriminatorResult(Integer, TimedInput, Word<TimedInput>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingDiscriminatorResult
MissingOneShotResult<I,O> - Class in de.learnlib.algorithm.lstar.mmlt.cex.results: The provided timer should become one-shot.
MissingOneShotResult(Integer, TimerInfo<?, O>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingOneShotResult
MissingResetResult<I,O> - Class in de.learnlib.algorithm.lstar.mmlt.cex.results: There should be a local reset at the specified transition.
MissingResetResult(Integer, InputSymbol) - Constructor for class de.learnlib.algorithm.lstar.mmlt.cex.results.MissingResetResult
MMLTCacheConsistencyTest<I,O> - Class in de.learnlib.filter.cache.mmlt: Searches for counterexamples by comparing the behavior of the hypothesis and the query cache.
MMLTCounterexampleHandler<I,O> - Class in de.learnlib.algorithm.lstar.mmlt.cex: Processes a truncated counterexample for a hypothesis MMLT by searching for an extended decomposition, post-processing it, and inferring an inaccuracy from it.
MMLTCounterexampleHandler(TimedQueryOracle<I, O>, AcexAnalyzer, SymbolFilter<TimedInput, InputSymbol>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.cex.MMLTCounterexampleHandler
MMLTEQOracleChain<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of EQOracleChain.
MMLTEQOracleChain(EquivalenceOracle.MMLTEquivalenceOracle<I, O>...) - Constructor for class de.learnlib.oracle.equivalence.MMLTEQOracleChain: Delegates to EQOracleChain(EquivalenceOracle[]).
MMLTEQOracleChain(List<? extends EquivalenceOracle.MMLTEquivalenceOracle<I, O>>) - Constructor for class de.learnlib.oracle.equivalence.MMLTEQOracleChain: Delegates to EQOracleChain(List).
MMLTExamples - Class in de.learnlib.testsupport.example.mmlt: A collection of MMLT-based learning examples.
MMLTHypothesis<I,O> - Class in de.learnlib.algorithm.lstar.mmlt: The hypothesis model is a regular MMLT that includes an additional prefix mapping.
MMLTInconsPrefixTransformAcex<I,O> - Class in de.learnlib.algorithm.lstar.mmlt.cex: An abstract counterexample used by the ExtensibleLStarMMLT learner.
MMLTInconsPrefixTransformAcex(Word<TimedInput>, TimedQueryOracle<I, O>, Function<Word<TimedInput>, Word<TimedInput>>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.cex.MMLTInconsPrefixTransformAcex: Constructor.
MMLTLearnerITCase<I,O> - Class in de.learnlib.testsupport.it.testcase
MMLTLearnerITCase(LearnerVariant<MMLT<?, I, ?, O>, TimedInput, Word<TimedOutput<O>>>, LearningExample.MMLTLearningExample<I, O>, MMLTLockableOracle<I, O>, EquivalenceOracle<? super MMLT<?, I, ?, O>, TimedInput, Word<TimedOutput<O>>>) - Constructor for class de.learnlib.testsupport.it.testcase.MMLTLearnerITCase
MMLTLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MMLTLearnerVariantListImpl
MMLTLockableOracle<I,O> - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
MMLTLockableOracle(TimedQueryOracle<I, O>) - Constructor for class de.learnlib.testsupport.it.util.MMLTLockableOracle
MMLTModelParams<O> - Record Class in de.learnlib.time: Model-specific parameters for MMLT-based learners.
MMLTModelParams(O, SymbolCombiner<O>, long, long) - Constructor for record class de.learnlib.time.MMLTModelParams: Creates an instance of a MMLTModelParams record class.
MMLTOutputInconsistency<I,O> - Record Class in de.learnlib.algorithm.lstar.mmlt.cex: Represents an output inconsistency used by the ExtensibleLStarMMLT learner.
MMLTOutputInconsistency(Word<TimedInput>, Word<TimedInput>, Word<TimedOutput<O>>, Word<TimedOutput<O>>) - Constructor for record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Creates an instance of a MMLTOutputInconsistency record class.
MMLTPerfectSymbolFilter - Class in de.learnlib.algorithm.lstar.mmlt.filter: A symbol filter for MMLTs that correctly accepts and ignores all transitions that silently self-loop.
MMLTPerfectSymbolFilter(MMLT<?, I, ?, ?>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.filter.MMLTPerfectSymbolFilter
MMLTRandomSymbolFilter - Class in de.learnlib.algorithm.lstar.mmlt.filter: A symbol filter that falsely answers a query with a specified probability.
MMLTRandomSymbolFilter(MMLT<?, I, ?, ?>, double, Random) - Constructor for class de.learnlib.algorithm.lstar.mmlt.filter.MMLTRandomSymbolFilter
MMLTSimulatorSUL<I,O> - Class in de.learnlib.driver.simulator: Simulates the semantics of an MMLT.
MMLTSimulatorSUL(MMLT<?, I, ?, O>) - Constructor for class de.learnlib.driver.simulator.MMLTSimulatorSUL
MMLTStatisticsSymbolFilter - Class in de.learnlib.algorithm.lstar.mmlt.filter: A symbol filter that logs statistics about false accepts and false ignores.
MMLTStatisticsSymbolFilter(MMLT<?, I, ?, ?>, SymbolFilter<TimedInput, InputSymbol>) - Constructor for class de.learnlib.algorithm.lstar.mmlt.filter.MMLTStatisticsSymbolFilter
MODEL - Static variable in class de.learnlib.logging.Category: Marker for model-related properties.
MooreCacheConsistencyTest<I,O> - Class in de.learnlib.filter.cache.moore: An EquivalenceOracle that tests a hypothesis for consistency with the contents of a MooreCacheOracle.
MooreCacheConsistencyTest(IncrementalMooreBuilder<I, O>) - Constructor for class de.learnlib.filter.cache.moore.MooreCacheConsistencyTest: Constructor.
MooreCacheOracle<I,O> - Class in de.learnlib.filter.cache.moore: Moore cache.
MooreCacheOracle.MooreCacheOracleState<I,O> - Class in de.learnlib.filter.cache.moore
MooreCaches - Class in de.learnlib.filter.cache.moore: A factory for creating caches for Moore-based MembershipOracles.
MooreCompleteExplorationEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of CompleteExplorationEQOracle.
MooreCompleteExplorationEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int) - Constructor for class de.learnlib.oracle.equivalence.MooreCompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int).
MooreCompleteExplorationEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreCompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int, int).
MooreCompleteExplorationEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreCompleteExplorationEQOracle: Delegates to CompleteExplorationEQOracle(MembershipOracle, int, int, int).
MooreCounterOracle<I,O> - Class in de.learnlib.filter.statistic.oracle: A type-specific refinement of CounterOracle.
MooreCounterOracle(MembershipOracle.MooreMembershipOracle<I, O>) - Constructor for class de.learnlib.filter.statistic.oracle.MooreCounterOracle: Delegates to CounterOracle(MembershipOracle).
MooreCounterOracle(MembershipOracle.MooreMembershipOracle<I, O>, String) - Constructor for class de.learnlib.filter.statistic.oracle.MooreCounterOracle: Delegates to CounterOracle(MembershipOracle, String).
MooreEQOracleChain<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of EQOracleChain.
MooreEQOracleChain(EquivalenceOracle.MooreEquivalenceOracle<I, O>...) - Constructor for class de.learnlib.oracle.equivalence.MooreEQOracleChain: Delegates to EQOracleChain(EquivalenceOracle[]).
MooreEQOracleChain(List<? extends EquivalenceOracle.MooreEquivalenceOracle<I, O>>) - Constructor for class de.learnlib.oracle.equivalence.MooreEQOracleChain: Delegates to EQOracleChain(List).
MooreExperiment<I,O> - Class in de.learnlib.util: A type-specific refinement of Experiment.
MooreExperiment(LearningAlgorithm.MooreLearner<I, O>, EquivalenceOracle.MooreEquivalenceOracle<I, O>, Alphabet) - Constructor for class de.learnlib.util.MooreExperiment: Delegates to Experiment(LearningAlgorithm, EquivalenceOracle, Alphabet).
MooreExperiment(LearningAlgorithm.MooreLearner<I, O>, EquivalenceOracle.MooreEquivalenceOracle<I, O>, Alphabet, InputModelSerializer<I, ? super MooreMachine<?, I, ?, O>>) - Constructor for class de.learnlib.util.MooreExperiment: Delegates to Experiment(LearningAlgorithm, EquivalenceOracle, Alphabet, InputModelSerializer).
MooreIncrementalWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of IncrementalWMethodEQOracle.
MooreIncrementalWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, Alphabet) - Constructor for class de.learnlib.oracle.equivalence.MooreIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet).
MooreIncrementalWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, Alphabet, int) - Constructor for class de.learnlib.oracle.equivalence.MooreIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet, int).
MooreIncrementalWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, Alphabet, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreIncrementalWMethodEQOracle: Delegates to IncrementalWMethodEQOracle(MembershipOracle, Alphabet, int, int).
MooreLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MooreLearnerVariantListImpl
MooreLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.PassiveLearnerVariantListImpl.MooreLearnerVariantListImpl
MooreLockableOracle<I,O> - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
MooreLockableOracle(MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.testsupport.it.util.MooreLockableOracle: Delegates to LockableOracle(MembershipOracle).
MooreOutInconsPrefixTransformAcex<I,O> - Class in de.learnlib.acex
MooreOutInconsPrefixTransformAcex(Word, MembershipOracle<I, Word<O>>, Function<Word, Word>) - Constructor for class de.learnlib.acex.MooreOutInconsPrefixTransformAcex
MooreRandomWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWMethodEQOracle.
MooreRandomWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int).
MooreRandomWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int).
MooreRandomWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int, int).
MooreRandomWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWMethodEQOracle: Delegates to RandomWMethodEQOracle(MembershipOracle, int, int, int, Random, int).
MooreRandomWordsEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWordsEQOracle.
MooreRandomWordsEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int).
MooreRandomWordsEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int, Random) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int, Random).
MooreRandomWordsEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWordsEQOracle: Delegates to RandomWordsEQOracle(MembershipOracle, int, int, int, Random, int).
MooreRandomWpMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of RandomWpMethodEQOracle.
MooreRandomWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int).
MooreRandomWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int).
MooreRandomWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int, int).
MooreRandomWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int, Random, int) - Constructor for class de.learnlib.oracle.equivalence.MooreRandomWpMethodEQOracle: Delegates to RandomWpMethodEQOracle(MembershipOracle, int, int, int, Random, int).
MooreRefinementCounterLearner<I,O> - Class in de.learnlib.filter.statistic.learner: A type-specific refinement of RefinementCounterLearner.
MooreRefinementCounterLearner(LearningAlgorithm.MooreLearner<I, O>) - Constructor for class de.learnlib.filter.statistic.learner.MooreRefinementCounterLearner: Delegates to RefinementCounterLearner(LearningAlgorithm).
MooreRefinementCounterLearner(LearningAlgorithm.MooreLearner<I, O>, String) - Constructor for class de.learnlib.filter.statistic.learner.MooreRefinementCounterLearner: Delegates to RefinementCounterLearner(LearningAlgorithm, String).
MooreSimulatorEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of SimulatorEQOracle.
MooreSimulatorEQOracle(MooreMachine<?, I, ?, O>) - Constructor for class de.learnlib.oracle.equivalence.MooreSimulatorEQOracle: Delegates to SimulatorEQOracle(net.automatalib.automaton.UniversalDeterministicAutomaton.RegularAutomaton).
MooreSimulatorOracle<I,O> - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
MooreSimulatorOracle(MooreMachine<?, I, ?, O>) - Constructor for class de.learnlib.oracle.membership.MooreSimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
MooreSymLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.MooreSymLearnerVariantListImpl
MooreUtil - Class in de.learnlib.util.moore: Utility class helping to unify various approaches to actively learning Moore machines.
MooreWMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of WMethodEQOracle.
MooreWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>) - Constructor for class de.learnlib.oracle.equivalence.MooreWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle).
MooreWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int) - Constructor for class de.learnlib.oracle.equivalence.MooreWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int).
MooreWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int, int).
MooreWMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreWMethodEQOracle: Delegates to WMethodEQOracle(MembershipOracle, int, int, int).
MooreWpMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence: A type-specific refinement of WpMethodEQOracle.
MooreWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>) - Constructor for class de.learnlib.oracle.equivalence.MooreWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle).
MooreWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int) - Constructor for class de.learnlib.oracle.equivalence.MooreWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int).
MooreWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int, int).
MooreWpMethodEQOracle(MembershipOracle.MooreMembershipOracle<I, O>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.MooreWpMethodEQOracle: Delegates to WpMethodEQOracle(MembershipOracle, int, int, int).
MooreWrapper<S extends AbstractBasePTAState<S,O,Void>,I,O> - Class in de.learnlib.datastructure.pta.wrapper
MooreWrapper(Alphabet, BasePTA<S, O, Void>) - Constructor for class de.learnlib.datastructure.pta.wrapper.MooreWrapper
MQ2AQWrapper<I,O> - Class in de.learnlib.testsupport: Utility class that wraps a given MembershipOracle into an AdaptiveMembershipOracle by translating each step of an AdaptiveQuery into a separate DefaultQuery.
MQ2AQWrapper(MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.testsupport.MQ2AQWrapper
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
MULTIPLIER - Static variable in class de.learnlib.testsupport.AbstractBFOracleTest
MutableObservationTable<I,D> - Interface in de.learnlib.datastructure.observationtable

N

needsConsistencyCheck() - Method in interface de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandler
needsSifting() - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
NEVER_REPLACE - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
newChildren() - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
newDynamicParallelAdaptiveOracle(AdaptiveMembershipOracle<I, O>, AdaptiveMembershipOracle<I, O>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newDynamicParallelAdaptiveOracle(Collection).
newDynamicParallelAdaptiveOracle(SUL<I, O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelAdaptiveOracleBuilder using the provided sul as a supplier.
newDynamicParallelAdaptiveOracle(Collection<? extends AdaptiveMembershipOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelAdaptiveOracleBuilder using the provided collection of membership oracles.
newDynamicParallelAdaptiveOracle(Supplier<? extends AdaptiveMembershipOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelAdaptiveOracleBuilder using the provided supplier.
newDynamicParallelOmegaOracle(OmegaMembershipOracle<S, I, D>, OmegaMembershipOracle<S, I, D>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newDynamicParallelOmegaOracle(Collection).
newDynamicParallelOmegaOracle(ObservableSUL<?, I, O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOmegaOracleBuilder using the provided sul as a supplier.
newDynamicParallelOmegaOracle(Collection<? extends OmegaMembershipOracle<S, I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOmegaOracleBuilder using the provided collection of membership oracles.
newDynamicParallelOmegaOracle(Supplier<? extends OmegaMembershipOracle<S, I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOmegaOracleBuilder using the provided supplier.
newDynamicParallelOracle(MembershipOracle<I, D>, MembershipOracle<I, D>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newDynamicParallelOracle(Collection).
newDynamicParallelOracle(StateLocalInputSUL<I, O>, O) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOracleBuilder using the provided sul as a supplier.
newDynamicParallelOracle(SUL<I, O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOracleBuilder using the provided sul as a supplier.
newDynamicParallelOracle(Collection<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOracleBuilder using the provided collection of membership oracles.
newDynamicParallelOracle(Supplier<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelOracleBuilder using the provided supplier.
newDynamicParallelTimedQueryOracle(TimedQueryOracle<I, O>, TimedQueryOracle<I, O>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newDynamicParallelTimedQueryOracle(Collection).
newDynamicParallelTimedQueryOracle(TimedSUL<I, O>, MMLTModelParams<O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelTimedQueryOracleBuilder using the provided sul as a supplier.
newDynamicParallelTimedQueryOracle(Collection<? extends TimedQueryOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelTimedQueryOracleBuilder using the provided collection of membership oracles.
newDynamicParallelTimedQueryOracle(Supplier<? extends TimedQueryOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a DynamicParallelTimedQueryOracleBuilder using the provided supplier.
newOracle(ObservableSUL<S, I, O>) - Static method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle: Creates a new AbstractSULOmegaOracle that assumes the SUL can not make deep copies.
newOracle(ObservableSUL<S, I, O>, boolean) - Static method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle: Creates a new AbstractSULOmegaOracle, while making sure the invariants of the ObservableSUL are satisfied.
newState - Variable in class de.learnlib.filter.reuse.ReuseCapableOracle.QueryResult
newState(int, TTTTransition<I, D>, int) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
newState(int, TTTTransition<I, Boolean>, int) - Method in class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
newState(int, TTTTransition<I, Word<O>>, int) - Method in class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
newState(int, TTTTransition<I, Word<O>>, int) - Method in class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore
newStaticParallelAdaptiveOracle(AdaptiveMembershipOracle<I, O>, AdaptiveMembershipOracle<I, O>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newStaticParallelAdaptiveOracle(Collection).
newStaticParallelAdaptiveOracle(SUL<I, O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelAdaptiveOracleBuilder using the provided sul as a supplier.
newStaticParallelAdaptiveOracle(Collection<? extends AdaptiveMembershipOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelAdaptiveOracleBuilder using the provided collection of membership oracles.
newStaticParallelAdaptiveOracle(Supplier<? extends AdaptiveMembershipOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelAdaptiveOracleBuilder using the provided supplier.
newStaticParallelOmegaOracle(OmegaMembershipOracle<S, I, D>, OmegaMembershipOracle<S, I, D>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newStaticParallelOmegaOracle(Collection).
newStaticParallelOmegaOracle(ObservableSUL<?, I, O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOmegaOracleBuilder using the provided sul as a supplier.
newStaticParallelOmegaOracle(Collection<? extends OmegaMembershipOracle<S, I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOmegaOracleBuilder using the provided collection of membership oracles.
newStaticParallelOmegaOracle(Supplier<? extends OmegaMembershipOracle<S, I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOmegaOracleBuilder using the provided supplier.
newStaticParallelOracle(MembershipOracle<I, D>, MembershipOracle<I, D>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newStaticParallelOracle(Collection).
newStaticParallelOracle(StateLocalInputSUL<I, O>, O) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOracleBuilder using the provided sul as a supplier.
newStaticParallelOracle(SUL<I, O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOracleBuilder using the provided sul as a supplier.
newStaticParallelOracle(Collection<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOracleBuilder using the provided collection of membership oracles.
newStaticParallelOracle(Supplier<? extends MembershipOracle<I, D>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelOracleBuilder using the provided supplier.
newStaticParallelTimedQueryOracle(TimedQueryOracle<I, O>, TimedQueryOracle<I, O>...) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Convenience method for ParallelOracleBuilders.newStaticParallelTimedQueryOracle(Collection).
newStaticParallelTimedQueryOracle(TimedSUL<I, O>, MMLTModelParams<O>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelTimedQueryOracleBuilder using the provided sul as a supplier.
newStaticParallelTimedQueryOracle(Collection<? extends TimedQueryOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelTimedQueryOracleBuilder using the provided collection of membership oracles.
newStaticParallelTimedQueryOracle(Supplier<? extends TimedQueryOracle<I, O>>) - Static method in class de.learnlib.oracle.parallelism.ParallelOracleBuilders: Creates a StaticParallelTimedQueryOracleBuilder using the provided supplier.
nextInput() - Method in interface de.learnlib.oracle.AutomatonOracle: Returns the next input word, or null if there is no next input.
nextInput() - Method in class de.learnlib.util.AbstractBFOracle: Returns the next input word, by popping from a queue.
nextInput(O) - Method in interface de.learnlib.algorithm.lsharp.ads.ADS
nextInput(O) - Method in class de.learnlib.algorithm.lsharp.ads.ADSTree
NFALearnerWrapper - Class in de.learnlib.util.nfa
NFALearnerWrapper(Alphabet, LearningAlgorithm<? extends NFA<?, I>, I, Boolean>) - Constructor for class de.learnlib.util.nfa.NFALearnerWrapper
NFASimulatorOracle - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
NFASimulatorOracle(NFA<?, I>) - Constructor for class de.learnlib.oracle.membership.NFASimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
NLStarLearner - Class in de.learnlib.algorithm.nlstar: The NL* learner.
NLStarLearner(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.nlstar.NLStarLearner: Constructor.
NLStarLearnerBuilder - Class in de.learnlib.algorithm.nlstar: A builder for constructing NLStarLearner instances.
NLStarLearnerBuilder() - Constructor for class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Creates a new builder (and may set default values for some parameters).
NO_DISTINGUISHING_SUFFIX - Static variable in interface de.learnlib.datastructure.observationtable.ObservationTable: Used to indicate that no distinguishing suffix exists in ObservationTable.findDistinguishingSuffixIndex(Inconsistency) and ObservationTable.findDistinguishingSuffixIndex(Row, Row).
NO_MISMATCH - Static variable in class de.learnlib.util.mealy.MealyUtil
NO_MISMATCH - Static variable in class de.learnlib.util.moore.MooreUtil
node(T) - Method in class de.learnlib.algorithm.lsharp.ads.ArenaTree
Node - Class in de.learnlib.algorithm.aaar.abstraction
Node.InnerNode<CI,D> - Class in de.learnlib.algorithm.aaar.abstraction
Node.Leaf<AI,CI> - Class in de.learnlib.algorithm.aaar.abstraction
nodeIDs() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis.GraphView
nodeIterator(N) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators: Returns an iterator that traverses all nodes of a subtree of a given discrimination tree node.
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
nodeWithParent(T, int, P) - Method in class de.learnlib.algorithm.lsharp.ads.ArenaTree
nonTreeTarget() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
NOP - Static variable in class de.learnlib.algorithm.adt.config.ADTExtenders
NormalObservationTree<I,O> - Class in de.learnlib.algorithm.lsharp
NormalObservationTree(Alphabet) - Constructor for class de.learnlib.algorithm.lsharp.NormalObservationTree
NOTHING - Enum constant in enum class de.learnlib.algorithm.lsharp.Rule2
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.algorithm.ttt.base.AbstractTTTHypothesis

O

ObservableMealySimulatorSUL<S,I,O> - Class in de.learnlib.driver.simulator
ObservableMealySimulatorSUL(MealyMachine<S, I, ?, O>) - Constructor for class de.learnlib.driver.simulator.ObservableMealySimulatorSUL
ObservableMealySimulatorSUL(MealyMachine<S, I, ?, O>, O) - Constructor for class de.learnlib.driver.simulator.ObservableMealySimulatorSUL
ObservableSUL<S,I,O> - Interface in de.learnlib.sul: A System Under Learning (SUL) where at any point in time the internal state can be observed.
ObservationTable - Class in de.learnlib.algorithm.nlstar: The observation table implementation for the NL* algorithm.
ObservationTable<I,D> - Interface in de.learnlib.datastructure.observationtable: An observation table is a common method for learning algorithms to store organize their observations.
ObservationTable(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.nlstar.ObservationTable
ObservationTableASCIIWriter<I,D> - Class in de.learnlib.datastructure.observationtable.writer
ObservationTableASCIIWriter() - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
ObservationTableASCIIWriter(boolean) - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
ObservationTableASCIIWriter(Function<? super Word<? extends I>, ? extends String>, Function<? super D, ? extends String>, boolean) - Constructor for class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
ObservationTableCEXHandler<I,D> - Interface in de.learnlib.algorithm.lstar.ce
ObservationTableCEXHandlers - Class in de.learnlib.algorithm.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 an 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.algorithm.adt.model: A class, that stores observations of the system under learning in a tree-like structure.
ObservationTree<S extends Comparable<S>,I,O> - Interface in de.learnlib.algorithm.lsharp
ObservationTree(Alphabet, AdaptiveMembershipOracle<I, O>, boolean) - Constructor for class de.learnlib.algorithm.adt.model.ObservationTree
OK - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Output
OmegaMembershipOracle<S,I,D> - Interface in de.learnlib.oracle: Answers OmegaQuerys, similar to a MembershipOracle.
OmegaMembershipOracle.DFAOmegaMembershipOracle<S,I> - Interface in de.learnlib.oracle
OmegaMembershipOracle.MealyOmegaMembershipOracle<S,I,O> - Interface in de.learnlib.oracle
OmegaQuery<I,D> - Class in de.learnlib.query: A query that represents information about infinite words in an ultimately periodic pattern.
OmegaQuery(Word, Word, int) - Constructor for class de.learnlib.query.OmegaQuery
OmegaQueryAnswerer<S,I,D> - Interface in de.learnlib.oracle: Answers OmegaQuerys.
OneSEVPAHypothesis - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: Hypothesis model.
OneSEVPAHypothesis(VPAlphabet) - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
OneSEVPALearnerITCase - Class in de.learnlib.testsupport.it.testcase
OneSEVPALearnerITCase(LearnerVariant<OneSEVPA<?, I>, I, Boolean>, LearningExample.OneSEVPALearningExample, SEVPALockableOracle, EquivalenceOracle<? super OneSEVPA<?, I>, I, Boolean>) - Constructor for class de.learnlib.testsupport.it.testcase.OneSEVPALearnerITCase
OneSEVPALearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.OneSEVPALearnerVariantListImpl
openTransitions - Variable in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
openTransitions - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner: Open transitions, i.e., transitions that possibly point to a non-leaf node in the discrimination tree.
OPLearnerDFA - Class in de.learnlib.algorithm.observationpack.dfa: A DFA-based specialization of the AbstractOPLearner.
OPLearnerDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFA: Constructor.
OPLearnerDFA(Alphabet, MembershipOracle<I, Boolean>, LocalSuffixFinder<? super I, ? super Boolean>, boolean, boolean) - Constructor for class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFA: Constructor.
OPLearnerDFABuilder - Class in de.learnlib.algorithm.observationpack.dfa: A builder for constructing OPLearnerDFA instances.
OPLearnerDFABuilder() - Constructor for class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Creates a new builder (and may set default values for some parameters).
OPLearnerHypothesis<I,O,SP,TP> - Class in de.learnlib.algorithm.observationpack.hypothesis: Basic hypothesis data structure for Discrimination Tree learning algorithms.
OPLearnerHypothesis(Alphabet) - Constructor for class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
OPLearnerHypothesis.GraphView - Class in de.learnlib.algorithm.observationpack.hypothesis
OPLearnerMealy<I,O> - Class in de.learnlib.algorithm.observationpack.mealy: A MealyMachine-based specialization of the AbstractOPLearner.
OPLearnerMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealy: Constructor.
OPLearnerMealy(Alphabet, MembershipOracle<I, Word<O>>, LocalSuffixFinder<? super I, ? super Word<O>>, boolean) - Constructor for class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealy: Constructor.
OPLearnerMealyBuilder<I,O> - Class in de.learnlib.algorithm.observationpack.mealy: A builder for constructing OPLearnerMealy instances.
OPLearnerMealyBuilder() - Constructor for class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Creates a new builder (and may set default values for some parameters).
OPLearnerMoore<I,O> - Class in de.learnlib.algorithm.observationpack.moore: A MooreMachine-based specialization of the AbstractOPLearner.
OPLearnerMoore(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.observationpack.moore.OPLearnerMoore: Constructor.
OPLearnerMoore(Alphabet, MembershipOracle<I, Word<O>>, LocalSuffixFinder<? super I, ? super Word<O>>, boolean) - Constructor for class de.learnlib.algorithm.observationpack.moore.OPLearnerMoore: Constructor.
OPLearnerMooreBuilder<I,O> - Class in de.learnlib.algorithm.observationpack.moore: A builder for constructing OPLearnerMoore instances.
OPLearnerMooreBuilder() - Constructor for class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Creates a new builder (and may set default values for some parameters).
OPLearnerState<I,D,SP,TP> - Class in de.learnlib.algorithm.observationpack: Class that contains all data that represent the internal state of the OPLearnerState learner and its DFA and Mealy implementations.
OPLearnerVPA - Class in de.learnlib.algorithm.observationpack.vpa: A SEVPA-based adoption of the "observation pack" algorithm.
OPLearnerVPA(VPAlphabet, MembershipOracle<I, Boolean>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
OPLearnerVPA.PrefixTransformAcex - Class in de.learnlib.algorithm.observationpack.vpa
OPLearnerVPABuilder - Class in de.learnlib.algorithm.observationpack.vpa: A builder for constructing OPLearnerVPA instances.
OPLearnerVPABuilder() - Constructor for class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Creates a new builder (and may set default values for some parameters).
OptimizingATManager - Class in de.learnlib.algorithm.procedural.sba.manager: An optimizing ATManager that continuously scans positive counterexamples and procedural models in order to find shorter access sequences and terminating sequences.
OptimizingATManager<I,O> - Class in de.learnlib.algorithm.procedural.spmm.manager: An optimizing ATManager that continuously scans positive counterexamples and procedural models in order to find shorter access sequences and terminating sequences.
OptimizingATManager(ProceduralInputAlphabet) - Constructor for class de.learnlib.algorithm.procedural.sba.manager.OptimizingATManager
OptimizingATManager(ProceduralInputAlphabet, O) - Constructor for class de.learnlib.algorithm.procedural.spmm.manager.OptimizingATManager
OptimizingATRManager - Class in de.learnlib.algorithm.procedural.spa.manager: An optimizing ATRManager that continuously scans positive counterexamples and procedural models in order to find shorter access sequences, terminating sequences, and return sequences.
OptimizingATRManager(ProceduralInputAlphabet) - Constructor for class de.learnlib.algorithm.procedural.spa.manager.OptimizingATRManager
oracle - Variable in class de.learnlib.algorithm.lstar.AbstractLStar
oracle - Variable in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
oracle - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
oracle - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
ostia(State) - Static method in class de.learnlib.algorithm.ostia.OSTIA
OSTIA<I,O> - Class in de.learnlib.algorithm.ostia: The OSTIA learning algorithm.
OSTIA(Alphabet) - Constructor for class de.learnlib.algorithm.ostia.OSTIA
otherSymbol - Variable in class de.learnlib.algorithm.ttt.vpa.Splitter
OTLearner<M,I,D> - Interface in de.learnlib.datastructure.observationtable
OTLearner.OTLearnerDFA - Interface in de.learnlib.datastructure.observationtable
OTLearner.OTLearnerMealy<I,O> - Interface in de.learnlib.datastructure.observationtable
OTLearner.OTLearnerMoore<I,O> - Interface in de.learnlib.datastructure.observationtable
OTUtils - Class in de.learnlib.datastructure.observationtable
out - Variable in class de.learnlib.algorithm.aaar.abstraction.Node.InnerNode
OUT_COFFEE - Static variable in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
OUT_ERROR - Static variable in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
OUT_OK - Static variable in class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine
OutInconsPrefixTransformAcex<I,D> - Class in de.learnlib.acex: An abstract counterexample for output inconsistencies, based on prefix transformations.
OutInconsPrefixTransformAcex(Word, int, MembershipOracle<I, D>, Function<Word, Word>) - Constructor for class de.learnlib.acex.OutInconsPrefixTransformAcex
OutInconsPrefixTransformAcex(Word, MembershipOracle<I, D>, Function<Word, Word>) - Constructor for class de.learnlib.acex.OutInconsPrefixTransformAcex
output - Variable in class de.learnlib.filter.reuse.ReuseCapableOracle.QueryResult
outputCombiner() - Method in record class de.learnlib.time.MMLTModelParams: Returns the value of the outputCombiner record component.
OutputInconsistency<I,D> - Class in de.learnlib.algorithm.ttt.base: Class for representing output inconsistencies within the TTT algorithm.
OutputInconsistency(TTTState<I, D>, Word, D) - Constructor for class de.learnlib.algorithm.ttt.base.OutputInconsistency
outputQuery(Word) - Method in class de.learnlib.algorithm.lsharp.LSOracle
outputToString(D) - Method in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
oven() - Static method in class de.learnlib.testsupport.example.mmlt.MMLTExamples: Returns an MMLT example of an oven with a time-controlled baking program.

P

PARALLEL_BATCH_SIZE_DYNAMIC - Enum constant in enum class de.learnlib.setting.LearnLibProperty: learnlib.parallel.batch_size.dynamic.
PARALLEL_BATCH_SIZE_STATIC - Enum constant in enum class de.learnlib.setting.LearnLibProperty: learnlib.parallel.batch_size.static.
PARALLEL_POOL_POLICY - Enum constant in enum class de.learnlib.setting.LearnLibProperty: learnlib.parallel.pool_policy.
PARALLEL_POOL_SIZE - Enum constant in enum class de.learnlib.setting.LearnLibProperty: learnlib.parallel.pool_size.
ParallelAdaptiveOracle<I,O> - Interface in de.learnlib.oracle: ParallelOracle equivalent for AdaptiveMembershipOracles.
ParallelOmegaOracle<S,I,D> - Interface in de.learnlib.oracle: ParallelOracle equivalent for OmegaMembershipOracles.
ParallelOracle<I,D> - Interface in de.learnlib.oracle: Basic interface for MembershipOracles that can process queries in parallel.
ParallelOracleBuilders - Class in de.learnlib.oracle.parallelism: Builders for (static and dynamic) parallel oracles.
ParallelTimedQueryOracle<I,O> - Interface in de.learnlib.oracle: ParallelOracle equivalent for TimedQueryOracles.
parent - Variable in class de.learnlib.algorithm.lsharp.ads.ArenaNode
parent - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
parent - Variable in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
parentInput - Variable in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
parentOutcome - Variable in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
PartialTransitionAnalyzer<S,I> - Interface in de.learnlib.algorithm.adt.api: During the refinement process of the hypothesis, ADS/Ts may be computed on partially defined automata.
PartialTransitionAnalyzer.HypothesisModificationException - Exception in de.learnlib.algorithm.adt.api: A helper exception to interrupt computations on an invalid hypothesis.
pass(SULException) - Static method in class de.learnlib.exception.MappedException
PassiveLearnerVariant<M,I,D> - Class in de.learnlib.testsupport.it.variant
PassiveLearnerVariantITCase<I,D,M extends SuffixOutput<I,D>> - Class in de.learnlib.testsupport.it.testcase: Default test case for a passive learning integration test.
PassiveLearnerVariantITCase(PassiveLearnerVariant<? extends M, I, D>, PassiveLearningExample<I, D>) - Constructor for class de.learnlib.testsupport.it.testcase.PassiveLearnerVariantITCase
PassiveLearnerVariantList<M,I,D> - Interface in de.learnlib.testsupport.it.variant
PassiveLearnerVariantList.DFALearnerVariantList - Interface in de.learnlib.testsupport.it.variant
PassiveLearnerVariantList.MealyLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
PassiveLearnerVariantList.MooreLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
PassiveLearnerVariantList.SSTLearnerVariantList<I,O> - Interface in de.learnlib.testsupport.it.variant
PassiveLearnerVariantListImpl<M,I,D> - Class in de.learnlib.testsupport.it.variant
PassiveLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.PassiveLearnerVariantListImpl
PassiveLearnerVariantListImpl.DFAPassiveLearnerVariantListImpl - Class in de.learnlib.testsupport.it.variant
PassiveLearnerVariantListImpl.MealyLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
PassiveLearnerVariantListImpl.MooreLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
PassiveLearnerVariantListImpl.SSTLearnerVariantListImpl<I,O> - Class in de.learnlib.testsupport.it.variant
PassiveLearningAlgorithm<M,I,D> - Interface in de.learnlib.algorithm
PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I> - Interface in de.learnlib.algorithm: Basic interface for passive learning algorithms that infer finite-state acceptors (DFAs or NFAs).
PassiveLearningAlgorithm.PassiveDFALearner - Interface in de.learnlib.algorithm: Basic interface for passive learning algorithms that infer DFAs.
PassiveLearningAlgorithm.PassiveMealyLearner<I,O> - Interface in de.learnlib.algorithm: Basic interface for passive learning algorithms that infer Mealy machines.
PassiveLearningAlgorithm.PassiveMooreLearner<I,O> - Interface in de.learnlib.algorithm: Basic interface for passive learning algorithms that infer Moore machines.
PassiveLearningExample<I,D> - Interface in de.learnlib.testsupport.example
PassiveLearningExample.DFAPassiveLearningExample - Interface in de.learnlib.testsupport.example
PassiveLearningExample.MealyPassiveLearningExample<I,O> - Interface in de.learnlib.testsupport.example
PassiveLearningExample.MoorePassiveLearningExample<I,O> - Interface in de.learnlib.testsupport.example
PassiveLearningExample.SSTPassiveLearningExample<I,O> - Interface in de.learnlib.testsupport.example
path() - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDTNode
pauseClock(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.pauseClock(StatisticsKey, Object) that uses null as owner.
pauseClock(StatisticsKey, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
pauseClock(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Pauses the clock with the given key for the given owner.
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.
PHASE - Static variable in class de.learnlib.logging.Category: Marker for phase-related properties.
POD - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine.Input
poll() - Method in class de.learnlib.datastructure.list.IntrusiveList: Retrieves and removes the first element from this list.
POOL_POLICY - Static variable in class de.learnlib.oracle.parallelism.BatchProcessorDefaults
POOL_SIZE - Static variable in class de.learnlib.oracle.parallelism.BatchProcessorDefaults
POP - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Input
post() - Method in class de.learnlib.driver.AbstractContextExecutableInputSUL
post() - Method in class de.learnlib.driver.ExecutableInputSUL
post() - Method in class de.learnlib.driver.simulator.MealySimulatorSUL
post() - Method in class de.learnlib.filter.cache.mmlt.TimedSULTreeCache
post() - Method in class de.learnlib.filter.cache.mmlt.TimeoutReducerSUL
post() - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
post() - Method in class de.learnlib.filter.statistic.sul.CounterSUL
post() - Method in class de.learnlib.mapper.MappedSUL
post() - Method in interface de.learnlib.Mapper: Method that is invoked after all translation steps on a word are performed.
post() - Method in interface de.learnlib.sul.SUL: shut down SUL.
postRefinementHook() - Method in class de.learnlib.util.Experiment: Called upon calling LearningAlgorithm.refineHypothesis(DefaultQuery).
pre() - Method in class de.learnlib.driver.AbstractContextExecutableInputSUL
pre() - Method in class de.learnlib.driver.ExecutableInputSUL
pre() - Method in class de.learnlib.driver.simulator.MealySimulatorSUL
pre() - Method in class de.learnlib.filter.cache.mmlt.TimedSULTreeCache
pre() - Method in class de.learnlib.filter.cache.mmlt.TimeoutReducerSUL
pre() - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
pre() - Method in class de.learnlib.filter.statistic.sul.CounterSUL
pre() - Method in class de.learnlib.mapper.MappedSUL
pre() - Method in interface de.learnlib.Mapper: Method that is invoked before any translation steps on a word are performed.
pre() - Method in interface de.learnlib.oracle.AutomatonOracle: Setup method which is called immediately before AutomatonOracle.findCounterExample(DeterministicAutomaton, Collection, int) is called.
pre() - Method in interface de.learnlib.sul.SUL: setup SUL.
pre() - Method in class de.learnlib.util.AbstractBFOracle: Clears the queue.
predictSuccOutcome(TTTTransition<I, D>, AbstractBaseDTNode<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
predictSuccOutcome(TTTTransition<I, Boolean>, AbstractBaseDTNode<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
predictSuccOutcome(TTTTransition<I, Word<O>>, AbstractBaseDTNode<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
predictSuccOutcome(TTTTransition<I, Word<O>>, AbstractBaseDTNode<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
prefix - Variable in class de.learnlib.algorithm.aaar.abstraction.Node.InnerNode
prefix - Variable in class de.learnlib.query.AbstractQuery
prefix() - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Returns the value of the prefix record component.
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, ContextPair) - Constructor for class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA.PrefixTransformAcex
PrefixTree<I,D> - Class in de.learnlib.algorithm.lambda.ttt.pt
PrefixTree() - Constructor for class de.learnlib.algorithm.lambda.ttt.pt.PrefixTree
PrefixTTTLearnerDFA - Class in de.learnlib.algorithm.ttt.dfa
PrefixTTTLearnerDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.ttt.dfa.PrefixTTTLearnerDFA
PrefixTTTLearnerDFA(Alphabet, MembershipOracle<I, Boolean>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.ttt.dfa.PrefixTTTLearnerDFA
prepend(I) - Method in interface de.learnlib.algorithm.lambda.ttt.st.STNode
PresetAdaptiveQuery<I,O> - Class in de.learnlib.util.mealy: Wraps a given (non-empty) Query as an AdaptiveQuery so that it can be answered by an AdaptiveMembershipOracle.
PresetAdaptiveQuery(Query<I, Word<O>>) - Constructor for class de.learnlib.util.mealy.PresetAdaptiveQuery
print() - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
print() - Method in interface de.learnlib.statistic.StatisticsService: Returns a string-based representation of the collected statistics.
processBatch(Collection<? extends AdaptiveQuery<I, O>>) - Method in interface de.learnlib.oracle.AdaptiveMembershipOracle
processBatch(Collection<? extends OmegaQuery<I, D>>) - Method in interface de.learnlib.oracle.OmegaMembershipOracle
processBatch(Collection<? extends Query<I, D>>) - Method in interface de.learnlib.oracle.MembershipOracle
processBatch(Collection<? extends Query<I, D>>) - Method in class de.learnlib.testsupport.it.util.LockableOracle
processBatch(Collection<? extends Q>) - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessor
processBatch(Collection<? extends Q>) - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessor
processBatch(Collection<? extends T>) - Method in interface de.learnlib.oracle.BatchProcessor: Process the batch.
processBinarySearch(Word, Word<O>, MealyMachine<Integer, I, ?, O>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
processCex(DefaultQuery<I, Word<O>>, MealyMachine<Integer, I, ?, O>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
ProcessingOrder - Interface in de.learnlib.datastructure.pta.config: Interface for entities that specify the order in which blue states are processed (i.e., considered for merges).
processInput(A, Word) - Method in interface de.learnlib.oracle.AutomatonOracle: Processes the given input.
processInput(A, Word) - Method in class de.learnlib.util.AbstractBFOracle
processInput(Word, Word, int) - Method in class de.learnlib.oracle.emptiness.LassoEmptinessOracleImpl
processInput(Word, Word, int) - Method in interface de.learnlib.oracle.LassoOracle: Processes the given omega query.
processOutput(O) - Method in interface de.learnlib.query.AdaptiveQuery: Processes the output of the system under learning to the latest returned input symbol.
processOutput(O) - Method in class de.learnlib.util.mealy.PresetAdaptiveQuery
processOutput(O) - Method in class de.learnlib.util.mealy.WordAdaptiveQuery
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in class de.learnlib.algorithm.adt.model.ObservationTree
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in class de.learnlib.filter.statistic.oracle.CounterAdaptiveQueryOracle
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in interface de.learnlib.oracle.AdaptiveMembershipOracle: Processes the specified collection of queries.
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in class de.learnlib.oracle.parallelism.DynamicParallelAdaptiveOracle
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in class de.learnlib.oracle.parallelism.StaticParallelAdaptiveOracle
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in interface de.learnlib.oracle.SingleAdaptiveMembershipOracle
processQueries(Collection<? extends AdaptiveQuery<I, O>>) - Method in class de.learnlib.testsupport.MQ2AQWrapper
processQueries(Collection<? extends OmegaQuery<I, D>>) - Method in interface de.learnlib.oracle.OmegaMembershipOracle
processQueries(Collection<? extends OmegaQuery<I, D>>) - Method in class de.learnlib.oracle.parallelism.DynamicParallelOmegaOracle
processQueries(Collection<? extends OmegaQuery<I, D>>) - Method in class de.learnlib.oracle.parallelism.StaticParallelOmegaOracle
processQueries(Collection<? extends OmegaQuery<I, D>>) - Method in interface de.learnlib.oracle.SingleQueryOmegaOracle
processQueries(Collection<? extends OmegaQuery<I, Word<O>>>) - Method in class de.learnlib.oracle.membership.AbstractSULOmegaOracle
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.filter.cache.InterningMembershipOracle
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.filter.statistic.oracle.CounterOracle
processQueries(Collection<? extends Query<I, D>>) - Method in interface de.learnlib.oracle.MembershipOracle: Processes the specified collection of queries.
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
processQueries(Collection<? extends Query<I, D>>) - Method in interface de.learnlib.oracle.SingleQueryOracle
processQueries(Collection<? extends Query<I, D>>) - Method in class de.learnlib.testsupport.it.util.LockableOracle
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, Word<O>>>) - Method in class de.learnlib.filter.cache.moore.MooreCacheOracle
processQueries(Collection<? extends Query<I, Word<O>>>) - Method in class de.learnlib.oracle.membership.StateLocalInputSULOracle
processQueries(Collection<? extends Query<I, Word<O>>>) - Method in class de.learnlib.oracle.membership.SULOracle
processQueries(Collection<? extends Query<I, Word<O>>>) - Method in class de.learnlib.util.mealy.Adaptive2MembershipWrapper
processQueries(Collection<? extends Query<TimedInput, Word<TimedOutput<O>>>>) - Method in class de.learnlib.oracle.parallelism.DynamicParallelTimedQueryOracle
processQueries(Collection<? extends Query<TimedInput, Word<TimedOutput<O>>>>) - Method in class de.learnlib.oracle.parallelism.StaticParallelTimedQueryOracle
processQuery(AdaptiveQuery<I, O>) - Method in interface de.learnlib.oracle.AdaptiveMembershipOracle: Processes a single query.
processQuery(AdaptiveQuery<I, O>) - Method in class de.learnlib.oracle.membership.CLIOutputAdaptiveOracle
processQuery(AdaptiveQuery<I, O>) - Method in class de.learnlib.oracle.membership.StateLocalInputSULAdaptiveOracle
processQuery(AdaptiveQuery<I, O>) - Method in class de.learnlib.oracle.membership.StdInOutputAdaptiveOracle
processQuery(AdaptiveQuery<I, O>) - Method in class de.learnlib.oracle.membership.SULAdaptiveOracle
processQuery(AdaptiveQuery<I, O>) - Method in interface de.learnlib.oracle.SingleAdaptiveMembershipOracle
processQuery(AdaptiveQuery<I, O>) - Method in class de.learnlib.testsupport.MQ2AQWrapper
processQuery(OmegaQuery<I, D>) - Method in interface de.learnlib.oracle.OmegaMembershipOracle
processQuery(OmegaQuery<I, D>) - Method in interface de.learnlib.oracle.SingleQueryOmegaOracle
processQuery(Query<I, D>) - Method in interface de.learnlib.oracle.MembershipOracle: Processes a single query.
processQuery(Query<I, D>) - Method in interface de.learnlib.oracle.SingleQueryOracle
processQuery(Query<I, D>) - Method in class de.learnlib.testsupport.it.util.LockableOracle
processQuery(Word) - 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).
PROFILING - Static variable in class de.learnlib.logging.Category: Marker for profiling-related properties.
promote(S, Consumer<? super PTATransition<S>>) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
promoteFrontierState() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
property - Variable in class de.learnlib.datastructure.pta.AbstractBasePTAState
PropertyOracle<I,A extends Output<I,D>,P,D> - Interface in de.learnlib.oracle: A PropertyOracle can disprove a property, and used to find a counter example to a hypothesis.
PropertyOracle.DFAPropertyOracle<I,P> - Interface in de.learnlib.oracle
PropertyOracle.MealyPropertyOracle<I,O,P> - Interface in de.learnlib.oracle
PropertyOracleChain<I,A extends Output<I,D>,P,D> - Class in de.learnlib.oracle.property: A chain of property oracles.
PropertyOracleChain(PropertyOracle<I, ? super A, P, D>...) - Constructor for class de.learnlib.oracle.property.PropertyOracleChain
PropertyOracleChain(Collection<? extends PropertyOracle<I, ? super A, P, D>>) - Constructor for class de.learnlib.oracle.property.PropertyOracleChain
ptaToModel(BlueFringePTA<Boolean, Void>) - Method in class de.learnlib.algorithm.rpni.BlueFringeEDSMDFA
ptaToModel(BlueFringePTA<Boolean, Void>) - Method in class de.learnlib.algorithm.rpni.BlueFringeMDLDFA
ptaToModel(BlueFringePTA<Boolean, Void>) - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIDFA
ptaToModel(BlueFringePTA<Void, O>) - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIMealy
ptaToModel(BlueFringePTA<O, Void>) - Method in class de.learnlib.algorithm.rpni.BlueFringeRPNIMoore
ptaToModel(BlueFringePTA<SP, TP>) - Method in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI: Transforms the final PTA into a model.
PTATransition<S extends AbstractBasePTAState<S,?,?>> - Class in de.learnlib.datastructure.pta
PTAVisualizationHelper<S,I,T,SP,TP,A extends UniversalDeterministicAutomaton<S,I,T,SP,TP>> - Class in de.learnlib.datastructure.pta.visualization
PTAVisualizationHelper(A) - Constructor for class de.learnlib.datastructure.pta.visualization.PTAVisualizationHelper
PTNode<I,D> - Interface in de.learnlib.algorithm.lambda.ttt.pt
PTNodeImpl<I,D> - Class in de.learnlib.algorithm.lambda.ttt.pt
PTNodeImpl(PTNodeImpl<I, D>, I) - Constructor for class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
ptree - Variable in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
ptree - Variable in class de.learnlib.algorithm.lambda.ttt.TTTLambdaState
PUSH - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Input
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(Word, V) - Method in class de.learnlib.filter.symbol.AbstractPerfectSymbolFilter
query(Word, V) - Method in class de.learnlib.filter.symbol.AbstractRandomSymbolFilter
query(Word, V) - Method in class de.learnlib.filter.symbol.AbstractStatisticsSymbolFilter
query(Word, V) - Method in class de.learnlib.filter.symbol.AcceptAllSymbolFilter
query(Word, V) - Method in class de.learnlib.filter.symbol.CachedSymbolFilter
query(Word, V) - Method in class de.learnlib.filter.symbol.IgnoreAllSymbolFilter
query(Word, V) - Method in interface de.learnlib.filter.SymbolFilter: Predicts whether the provided symbol is ignorable in the state that is addressed by the given prefix.
Query<I,D> - Class in de.learnlib.query: A query is the basic form of interaction between a learner and a (membership) oracle, or teacher.
Query() - Constructor for class de.learnlib.query.Query
QUERY - Static variable in class de.learnlib.logging.Category: Marker for query-related properties.
QueryAnswerer<I,D> - Interface in de.learnlib.oracle: A simple interface for answering Word-based queries.
QueryResult(Word<O>, S) - Constructor for class de.learnlib.filter.reuse.ReuseCapableOracle.QueryResult
queryTimers(Word<TimedInput>, long) - Method in class de.learnlib.oracle.membership.TimedSULOracle
queryTimers(Word<TimedInput>, long) - Method in class de.learnlib.oracle.parallelism.DynamicParallelTimedQueryOracle
queryTimers(Word<TimedInput>, long) - Method in class de.learnlib.oracle.parallelism.StaticParallelTimedQueryOracle
queryTimers(Word<TimedInput>, long) - Method in interface de.learnlib.oracle.TimedQueryOracle: Observes and aggregates any timeouts that occur after providing the given input to the SUL.
queryTimers(Word<TimedInput>, long) - Method in class de.learnlib.testsupport.it.util.MMLTLockableOracle

R

RANDOM_SEED - Static variable in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
RANDOM_SEED - Static variable in class de.learnlib.testsupport.AbstractLearnerASTTest
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,D> - Class in de.learnlib.oracle.equivalence.vpa: An equivalence oracle based on the generation of random (well-matched) words.
RandomWellMatchedWordsEQOracle(Random, MembershipOracle<I, D>, double, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.vpa.RandomWellMatchedWordsEQOracle
RandomWellMatchedWordsEQOracle(Random, MembershipOracle<I, D>, double, int, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.vpa.RandomWellMatchedWordsEQOracle
RandomWMethodEQOracle<A extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: Implements an equivalence test based on a randomized version of the W-method as described in Complementing Model Learning with Mutation-Based Fuzzing by Rick Smetsers, Joshua Moerman, Mark Janssen, Sicco Verwer.
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.
RandomWordsEQOracle<A extends 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
RandomWpMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.mmlt: Implements the partial W-method for MMLT learning.
RandomWpMethodEQOracle<A extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence: Implements an equivalence test based on a randomized version of the W(p)-method as described in Complementing Model Learning with Mutation-Based Fuzzing by Rick Smetsers, Joshua Moerman, Mark Janssen, Sicco Verwer.
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(TimedQueryOracle<I, O>, long, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.mmlt.RandomWpMethodEQOracle
read(String, Alphabet) - 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) - Method in class de.learnlib.datastructure.observationtable.reader.SuffixASCIIReader
RED - Enum constant in enum class de.learnlib.datastructure.pta.Color: Indicates a red state.
RedBlueMerge<S extends AbstractBlueFringePTAState<S,SP,TP>,SP,TP> - Class in de.learnlib.datastructure.pta
RedBlueMerge(AbstractBlueFringePTA<S, SP, TP>, S, S) - Constructor for class de.learnlib.datastructure.pta.RedBlueMerge
redStates - Variable in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
reduceCounterExample(MooreMachine<?, I, ?, O>, DefaultQuery<I, Word<O>>) - Static method in class de.learnlib.util.moore.MooreUtil
reduceCounterExample(MealyTransitionSystem<?, I, ?, O>, DefaultQuery<I, Word<O>>) - Static method in class de.learnlib.util.mealy.MealyUtil
refineHypothesis(DefaultQuery<CI, D>) - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner
refineHypothesis(DefaultQuery<CI, D>) - Method in class de.learnlib.algorithm.aaar.TranslatingLearnerWrapper
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
refineHypothesis(DefaultQuery<I, D>) - Method in interface de.learnlib.algorithm.LearningAlgorithm: Triggers a refinement of the model by providing a counterexample.
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lstar.AbstractLStar
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
refineHypothesis(DefaultQuery<I, D>) - Method in class de.learnlib.filter.statistic.learner.RefinementCounterLearner
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.nlstar.NLStarLearner
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.procedural.sba.SBALearner
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.procedural.spa.SPALearner
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.PrefixTTTLearnerDFA
refineHypothesis(DefaultQuery<I, Boolean>) - Method in class de.learnlib.util.nfa.NFALearnerWrapper
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.procedural.spmm.SPMMLearner
refineHypothesis(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.sparse.SparseLearner
refineHypothesis(DefaultQuery<TimedInput, Word<TimedOutput<O>>>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT
refineHypothesisInternal(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
refineHypothesisInternal(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
refineHypothesisInternal(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
refineHypothesisSingle(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
refineHypothesisSingle(DefaultQuery<I, D>) - Method in class de.learnlib.algorithm.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.algorithm.observationpack.vpa.AbstractVPALearner
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.PrefixTTTLearnerDFA
refineHypothesisSingle(DefaultQuery<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
refineHypothesisSingle(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
refineHypothesisSingle(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
refineIfPossible(MembershipOracle<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.dt.DTLeaf
RefinementCounterLearner<M,I,D> - Class in de.learnlib.filter.statistic.learner: Counts the number of hypothesis refinements.
RefinementCounterLearner(LearningAlgorithm<M, I, D>) - Constructor for class de.learnlib.filter.statistic.learner.RefinementCounterLearner: Convenience constructor for RefinementCounterLearner(LearningAlgorithm, String) which uses null as id.
RefinementCounterLearner(LearningAlgorithm<M, I, D>, String) - Constructor for class de.learnlib.filter.statistic.learner.RefinementCounterLearner: Constructs a new counter algorithm that writes statistical data to a StatisticsService.
RefutableSymbolFilter<U,V> - Interface in de.learnlib.filter: An extension of a SymbolFilter that allows one to override the query behavior.
REJECT_NEW - Enum constant in enum class de.learnlib.filter.reuse.tree.BoundedDeque.EvictPolicy: Reject the element that is about to be inserted.
remove(Object) - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
removeFromList() - Method in interface de.learnlib.datastructure.list.IntrusiveListEntry: Removes this element from the list it is currently contained in.
removeTimer(String) - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo
rep - Variable in class de.learnlib.algorithm.aaar.abstraction.Node.Leaf
repeatedCounterexampleEvaluation() - Static method in class de.learnlib.algorithm.observationpack.AbstractOPLearner.BuilderDefaults
repeatOutput(O) - Static method in class de.learnlib.exception.MappedException
repeatOutput(O, O) - Static method in class de.learnlib.exception.MappedException
replace(DTLeaf<I, D>, DTInnerNode<I, D>) - Method in interface de.learnlib.algorithm.lambda.ttt.dt.Children
replaceChildren(Map<O, N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
ReplacementResult<S,I,O> - Class in de.learnlib.algorithm.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.algorithm.adt.model.ReplacementResult
ReplacementResult(ADTNode<S, I, O>, ADTNode<S, I, O>, Set<S>) - Constructor for class de.learnlib.algorithm.adt.model.ReplacementResult
replaceNode(ADTNode<S, I, O>, ADTNode<S, I, O>) - Method in class de.learnlib.algorithm.adt.adt.ADT: Replaces an existing node in the tree with a new one and updates the references of parent/child nodes accordingly.
requireLearningProcessNotStarted() - Method in interface de.learnlib.LearnerStateTracker: Requires that the learning process has not yet started.
requireLearningProcessStarted() - Method in interface de.learnlib.LearnerStateTracker: Requires that the learning process has started.
requireLock() - Method in class de.learnlib.testsupport.it.util.LockableOracle
requiresQueriesDuringHypothesisTraversal() - Method in class de.learnlib.testsupport.it.AbstractDFALearnerIT: Returns whether the hypotheses require access to the membership oracle during traversal.
requiresQueriesDuringHypothesisTraversal() - Method in class de.learnlib.testsupport.it.AbstractMealyLearnerIT: Returns whether the hypotheses require access to the membership oracle during traversal.
requiresQueriesDuringHypothesisTraversal() - Method in class de.learnlib.testsupport.it.AbstractMooreLearnerIT: Returns whether the hypotheses require access to the membership oracle during traversal.
RESET - Enum constant in enum class de.learnlib.query.AdaptiveQuery.Response: Indicates that the system under learning should be reset to its initial state.
RESET_NODE - Enum constant in enum class de.learnlib.algorithm.adt.adt.ADTNode.NodeType
ResetSearchEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.mmlt: Searches for counterexamples that reveal local resets.
ResetSearchEQOracle(TimedQueryOracle<I, O>, long, double, double) - Constructor for class de.learnlib.oracle.equivalence.mmlt.ResetSearchEQOracle: Constructor.
resetToRoot() - Method in interface de.learnlib.algorithm.lsharp.ads.ADS
resetToRoot() - Method in class de.learnlib.algorithm.lsharp.ads.ADSTree
Resumable<T> - Interface in de.learnlib: Data structures that implement this interface can be "suspended" by means of exposing a state object that contains all data that is necessary to resume from this state at a later point in time.
resume(StateLocalInputSULCache.StateLocalInputSULCacheState<I, O>) - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
resume(ADTLearnerState<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
resume(MealyDHCState<I, O>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
resume(KearnsVaziraniDFAState) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
resume(KearnsVaziraniMealyState<I, O>) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
resume(LLambdaState<I, Boolean>) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
resume(TTTLambdaState<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
resume(TTTLambdaState<I, Boolean>) - Method in class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
resume(TTTLambdaState<I, Word<O>>) - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
resume(AutomatonLStarState<I, D, AI, S>) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
resume(OPLearnerState<I, D, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
resume(TTTLearnerState<I, D>) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
resume(DFACacheOracle.DFACacheOracleState) - Method in class de.learnlib.filter.cache.dfa.DFACacheOracle
resume(DFAHashCacheOracle.DFAHashCacheOracleState) - Method in class de.learnlib.filter.cache.dfa.DFAHashCacheOracle
resume(AdaptiveQueryCache.AdaptiveQueryCacheState<I, O>) - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache
resume(MealyCacheOracle.MealyCacheOracleState<I, O>) - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
resume(MooreCacheOracle.MooreCacheOracleState<I, O>) - Method in class de.learnlib.filter.cache.moore.MooreCacheOracle
resume(T) - Method in interface de.learnlib.Resumable: Resume the data structure from a previously suspended point in time.
ResumeUtils - Class in de.learnlib.testsupport: Utility functions for Resumable features.
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.
RETURN - Enum constant in enum class de.learnlib.algorithm.ttt.vpa.Splitter.SplitType
ReturnValue<T> - Class in de.learnlib.driver.reflect: A (non-empty) output of a method call.
ReturnValue(T) - Constructor for class de.learnlib.driver.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 - Variable in class de.learnlib.filter.reuse.tree.ReuseNode.NodeResult
ReuseNode<S,I,O> - Class in de.learnlib.filter.reuse.tree: A ReuseNode is a vertex in the ReuseTree that contains (a possibly empty) set of outgoing ReuseEdges.
ReuseNode(int, int, int, BoundedDeque.AccessPolicy, BoundedDeque.EvictPolicy) - Constructor for class de.learnlib.filter.reuse.tree.ReuseNode
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 MembershipOracle.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 ReuseOracleBuilder.withInvariantInputs(Set) (like a read from a database which does not change the SUL) or configured for failure output symbols via 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. Reuse system states: There are a lot of situations where a prefix of a query is already known and a system state is available.
ReuseOracle(Alphabet, Supplier<? extends ReuseCapableOracle<S, I, O>>, boolean, SystemStateHandler<S>, Set, Set<O>, int, BoundedDeque.AccessPolicy, BoundedDeque.EvictPolicy) - Constructor for class de.learnlib.filter.reuse.ReuseOracle: Default constructor.
ReuseOracleBuilder<S,I,O> - Class in de.learnlib.filter.reuse: A builder for constructing ReuseOracle instances.
ReuseOracleBuilder(Alphabet, Supplier<? extends ReuseCapableOracle<S, I, O>>) - Constructor for class de.learnlib.filter.reuse.ReuseOracleBuilder: Creates a new builder (and may set default values for some parameters).
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(Alphabet, boolean, SystemStateHandler<S>, Set, Set<O>, int, BoundedDeque.AccessPolicy, BoundedDeque.EvictPolicy) - Constructor for class de.learnlib.filter.reuse.tree.ReuseTree
ReuseTreeBuilder<S,I,O> - Class in de.learnlib.filter.reuse.tree: A builder for constructing ReuseTree instances.
ReuseTreeBuilder(Alphabet) - Constructor for class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Creates a new builder (and may set default values for some parameters).
ReverseLexCmp - Class in de.learnlib.filter.cache
ReverseLexCmp(Comparator) - Constructor for class de.learnlib.filter.cache.ReverseLexCmp
RIVEST_SCHAPIRE - Static variable in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
RIVEST_SCHAPIRE - Static variable in class de.learnlib.counterexample.GlobalSuffixFinders: Adds the single suffix found by the access sequence transformation using binary search.
RIVEST_SCHAPIRE - Static variable in class de.learnlib.counterexample.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.algorithm.lstar.ce.ObservationTableCEXHandlers
RIVEST_SCHAPIRE_ALLSUFFIXES - Static variable in class de.learnlib.counterexample.GlobalSuffixFinders: Adds the suffix found by the access sequence transformation using binary search, and all of its suffixes.
RivestSchapireDFA - Class in de.learnlib.algorithm.rivestschapire: A DFA-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Rivest & Schapire.
RivestSchapireDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireDFA
RivestSchapireDFA(Alphabet, MembershipOracle<I, Boolean>, List<Word>, ClosingStrategy<? super I, ? super Boolean>) - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireDFA
RivestSchapireDFABuilder - Class in de.learnlib.algorithm.rivestschapire: A builder for constructing RivestSchapireDFA instances.
RivestSchapireDFABuilder() - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Creates a new builder (and may set default values for some parameters).
RivestSchapireMealy<I,O> - Class in de.learnlib.algorithm.rivestschapire: A MealyMachine-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Rivest & Schapire.
RivestSchapireMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireMealy
RivestSchapireMealy(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireMealy
RivestSchapireMealyBuilder<I,O> - Class in de.learnlib.algorithm.rivestschapire: A builder for constructing RivestSchapireMealy instances.
RivestSchapireMealyBuilder() - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Creates a new builder (and may set default values for some parameters).
RivestSchapireMoore<I,O> - Class in de.learnlib.algorithm.rivestschapire: A MooreMachine-based specialization of the L* learner which uses the counterexample analysis strategy proposed by Rivest & Schapire.
RivestSchapireMoore(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireMoore
RivestSchapireMoore(Alphabet, MembershipOracle<I, Word<O>>, List<Word>, ClosingStrategy<? super I, ? super Word<O>>) - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireMoore
RivestSchapireMooreBuilder<I,O> - Class in de.learnlib.algorithm.rivestschapire: A builder for constructing RivestSchapireMoore instances.
RivestSchapireMooreBuilder() - Constructor for class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Creates a new builder (and may set default values for some parameters).
root - Variable in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
root() - Method in class de.learnlib.algorithm.lambda.ttt.pt.PrefixTree
root() - Method in class de.learnlib.algorithm.lambda.ttt.st.SuffixTrie
Row - Class in de.learnlib.algorithm.nlstar: A single row in the ObservationTable for NL*.
Row - Interface in de.learnlib.datastructure.observationtable: A row in an observation table.
Row(Word) - Constructor for class de.learnlib.algorithm.nlstar.Row
rowContents(Row) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
rowContents(Row) - Method in interface de.learnlib.datastructure.observationtable.ObservationTable
rowContents(Row) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
rowForState(Word) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
rowForState(Word) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
RowImpl - Class in de.learnlib.datastructure.observationtable
RowImpl(Word, int) - Constructor for class de.learnlib.datastructure.observationtable.RowImpl: Constructor.
RowImpl(Word, int, int) - Constructor for class de.learnlib.datastructure.observationtable.RowImpl: Constructor for short label rows.
Rule2 - Enum Class in de.learnlib.algorithm.lsharp
Rule3 - Enum Class in de.learnlib.algorithm.lsharp
run() - Method in class de.learnlib.util.Experiment: Run the experiment, once.
run(State, IntSeq) - Static method in class de.learnlib.algorithm.ostia.OSTIA
runExperiment(BiFunction<Alphabet<ExampleCoffeeMachine.Input>, SUL<ExampleCoffeeMachine.Input, String>, L>) - Static method in class de.learnlib.testsupport.VisualizationUtils

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() - Constructor for class de.learnlib.oracle.equivalence.SampleSetEQOracle: Constructor.
SampleSetEQOracle(boolean) - Constructor for class de.learnlib.oracle.equivalence.SampleSetEQOracle: Constructor.
SBALearner<I,L extends LearningAlgorithm.DFALearner<SymbolWrapper> & SupportsGrowingAlphabet<SymbolWrapper> & AccessSequenceTransformer<SymbolWrapper>> - Class in de.learnlib.algorithm.procedural.sba: A learning algorithm for SBAs.
SBALearner(ProceduralInputAlphabet, MembershipOracle<I, Boolean>, LearnerConstructor<L, SymbolWrapper, Boolean>) - Constructor for class de.learnlib.algorithm.procedural.sba.SBALearner
SBALearner(ProceduralInputAlphabet, MembershipOracle<I, Boolean>, Mapping<I, LearnerConstructor<L, SymbolWrapper, Boolean>>, AcexAnalyzer, ATManager) - Constructor for class de.learnlib.algorithm.procedural.sba.SBALearner
SBALearnerITCase - Class in de.learnlib.testsupport.it.testcase
SBALearnerITCase(LearnerVariant<SBA<?, I>, I, Boolean>, LearningExample.SBALearningExample, SBALockableOracle, EquivalenceOracle<? super SBA<?, I>, I, Boolean>) - Constructor for class de.learnlib.testsupport.it.testcase.SBALearnerITCase
SBALearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.SBALearnerVariantListImpl
SBALockableOracle - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
SBALockableOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.testsupport.it.util.SBALockableOracle: Delegates to LockableOracle(MembershipOracle).
SBAPropertyOracle<I,P,R> - Class in de.learnlib.oracle.property: A PropertyOracle for verifying properties on SBAs.
SBAPropertyOracle(P, MembershipOracle<I, Boolean>, ModelChecker<I, SBA<?, I>, P, R>, Function<R, Word>) - Constructor for class de.learnlib.oracle.property.SBAPropertyOracle
SBASimulatorOracle - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
SBASimulatorOracle(SBA<?, I>) - Constructor for class de.learnlib.oracle.membership.SBASimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
scanCounterexample(DefaultQuery<I, Word<O>>) - Method in interface de.learnlib.algorithm.procedural.spmm.ATManager: Extracts from a positive counterexample (potentially new) access sequences and terminating sequences.
scanCounterexample(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.procedural.spmm.manager.DefaultATManager
scanCounterexample(DefaultQuery<I, Word<O>>) - Method in class de.learnlib.algorithm.procedural.spmm.manager.OptimizingATManager
scanPositiveCounterexample(Word) - Method in interface de.learnlib.algorithm.procedural.sba.ATManager: Extracts from a positive counterexample (potentially new) access sequences and terminating sequences.
scanPositiveCounterexample(Word) - Method in class de.learnlib.algorithm.procedural.sba.manager.DefaultATManager
scanPositiveCounterexample(Word) - Method in class de.learnlib.algorithm.procedural.sba.manager.OptimizingATManager
scanPositiveCounterexample(Word) - Method in interface de.learnlib.algorithm.procedural.spa.ATRManager: Extracts from a positive counterexample (potentially new) access sequences, terminating sequences, and return sequences.
scanPositiveCounterexample(Word) - Method in class de.learnlib.algorithm.procedural.spa.manager.DefaultATRManager
scanPositiveCounterexample(Word) - Method in class de.learnlib.algorithm.procedural.spa.manager.OptimizingATRManager
scanProcedures(Map<I, ? extends DFA<?, SymbolWrapper>>, Map<I, ? extends AccessSequenceTransformer<SymbolWrapper>>, Collection<SymbolWrapper>) - Method in interface de.learnlib.algorithm.procedural.sba.ATManager: Scans a set of (hypothesis) procedures in order to potentially extract new access sequences and terminating sequences.
scanProcedures(Map<I, ? extends DFA<?, SymbolWrapper>>, Map<I, ? extends AccessSequenceTransformer<SymbolWrapper>>, Collection<SymbolWrapper>) - Method in class de.learnlib.algorithm.procedural.sba.manager.DefaultATManager
scanProcedures(Map<I, ? extends DFA<?, SymbolWrapper>>, Map<I, ? extends AccessSequenceTransformer<SymbolWrapper>>, Collection<SymbolWrapper>) - Method in class de.learnlib.algorithm.procedural.sba.manager.OptimizingATManager
scanProcedures(Map<I, ? extends DFA<?, I>>, Map<I, ? extends AccessSequenceTransformer>, Collection) - Method in interface de.learnlib.algorithm.procedural.spa.ATRManager: Scans a set of (hypothesis) procedures in order to potentially extract new access sequences, terminating sequences, and return sequences.
scanProcedures(Map<I, ? extends DFA<?, I>>, Map<I, ? extends AccessSequenceTransformer>, Collection) - Method in class de.learnlib.algorithm.procedural.spa.manager.DefaultATRManager
scanProcedures(Map<I, ? extends DFA<?, I>>, Map<I, ? extends AccessSequenceTransformer>, Collection) - Method in class de.learnlib.algorithm.procedural.spa.manager.OptimizingATRManager
scanProcedures(Map<I, ? extends MealyMachine<?, SymbolWrapper, ?, O>>, Map<I, ? extends AccessSequenceTransformer<SymbolWrapper>>, Collection<SymbolWrapper>) - Method in interface de.learnlib.algorithm.procedural.spmm.ATManager: Scans a set of (hypothesis) procedures in order to potentially extract new access sequences and terminating sequences.
scanProcedures(Map<I, ? extends MealyMachine<?, SymbolWrapper, ?, O>>, Map<I, ? extends AccessSequenceTransformer<SymbolWrapper>>, Collection<SymbolWrapper>) - Method in class de.learnlib.algorithm.procedural.spmm.manager.DefaultATManager
scanProcedures(Map<I, ? extends MealyMachine<?, SymbolWrapper, ?, O>>, Map<I, ? extends AccessSequenceTransformer<SymbolWrapper>>, Collection<SymbolWrapper>) - Method in class de.learnlib.algorithm.procedural.spmm.manager.OptimizingATManager
sctp() - Static method in class de.learnlib.testsupport.example.mmlt.MMLTExamples: Returns an MMLT example of an endpoint in the stream control and transmission protocol.
secondOutput - Variable in class de.learnlib.algorithm.adt.adt.ADT.LCAInfo
selectClosingRows(List<List<Row>>) - Method in class de.learnlib.algorithm.lstar.AbstractExtensibleAutomatonLStar
selectClosingRows(List<List<Row>>) - Method in class de.learnlib.algorithm.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.algorithm.lstar.closing.CloseRandomStrategy
selectClosingRows(List<List<Row<RI>>>, ObservationTable<RI, RO>, MembershipOracle<RI, RO>) - Method in interface de.learnlib.algorithm.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.
selectMerges(Stream<RedBlueMerge<BlueFringePTAState<Boolean, Void>, Boolean, Void>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeEDSMDFA
selectMerges(Stream<RedBlueMerge<BlueFringePTAState<Boolean, Void>, Boolean, Void>>) - Method in class de.learnlib.algorithm.rpni.BlueFringeMDLDFA
selectMerges(Stream<RedBlueMerge<BlueFringePTAState<SP, TP>, SP, TP>>) - Method in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI: Implementing the method allows subclasses to decide on (and possibly reject) valid merges.
selectOneShotTimer(List<? extends TimerInfo<?, O>>, long) - Static method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT: Heuristically chooses a new one-shot timer from the provided timers.
sensorCollector() - Static method in class de.learnlib.testsupport.example.mmlt.MMLTExamples: Returns an MMLT example of a sensor collector.
SEPSEQ - Enum constant in enum class de.learnlib.algorithm.lsharp.Rule2
SEPSEQ - Enum constant in enum class de.learnlib.algorithm.lsharp.Rule3
serializer - Variable in class de.learnlib.util.Experiment
setAccepting(boolean) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
setAccessSequence(Word) - Method in class de.learnlib.algorithm.adt.automaton.ADTState
setAdtExtender(ADTExtender) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter adtExtender.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Sets the new value for the parameter alphabet.
setAlphabet(Alphabet) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Sets the new value for the parameter alphabet.
setAlphabet(VPAlphabet) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Sets the new value for the parameter alphabet.
setAlphabet(VPAlphabet) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Sets the new value for the parameter alphabet.
setAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter analyzer.
setAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Sets the new value for the parameter analyzer.
setAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Sets the new value for the parameter analyzer.
setAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Sets the new value for the parameter analyzer.
setAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Sets the new value for the parameter analyzer.
setAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Sets the new value for the parameter analyzer.
setBatchSize(int) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter batchSize.
setBatchSize(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter batchSize.
setCexHandler(ObservationTableCEXHandler<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter cexHandler.
setCexHandler(ObservationTableCEXHandler<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter cexHandler.
setCexHandler(ObservationTableCEXHandler<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter cexHandler.
setCexHandler(ObservationTableCEXHandler<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter cexHandler.
setCexHandler(ObservationTableCEXHandler<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter cexHandler.
setChild(O, N) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
setClosingStrategy(ClosingStrategy<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter closingStrategy.
setClosingStrategy(ClosingStrategy<? super TimedInput, ? super Word<TimedOutput<O>>>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter closingStrategy.
setCombinationMethod(KWayStateCoverTestsIterator.CombinationMethod) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter combinationMethod.
setCounter(StatisticsKey, long) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.setCounter(StatisticsKey, long, Object) that uses null as owner.
setCounter(StatisticsKey, long, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
setCounter(StatisticsKey, long, Object) - Method in interface de.learnlib.statistic.StatisticsService: Sets the counter with the given key to the provided value.
setCounterexampleAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter counterexampleAnalyzer.
setCounterexampleAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter counterexampleAnalyzer.
setData(D) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
setDeterministic(boolean) - Method in class de.learnlib.algorithm.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.algorithm.observationpack.hypothesis.HTransition
setDTLeaf(AbstractWordBasedDTNode<I, O, HState<I, O, SP, TP>>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
setEffect(int, E) - Method in class de.learnlib.acex.AbstractBaseCounterexample
setEpsilonRoot(boolean) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter epsilonRoot.
setFlag(StatisticsKey, boolean) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.setFlag(StatisticsKey, boolean, Object) that uses null as owner.
setFlag(StatisticsKey, boolean, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
setFlag(StatisticsKey, boolean, Object) - Method in interface de.learnlib.statistic.StatisticsService: Stores the provided boolean flag for the given key and owner.
setForeignSuccessor(int, S, int) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
setGenerationMethod(KWayTransitionCoverTestsIterator.GenerationMethod) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter generationMethod.
setInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter initialPrefixes.
setInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter initialPrefixes.
setInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter initialPrefixes.
setInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter initialPrefixes.
setInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter initialPrefixes.
setInitialSplitters(Collection<? extends Word>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter initialSplitters.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter initialSuffixes.
setInitialSuffixes(List<Word<TimedInput>>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter initialSuffixes.
setInput(I) - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
setInternalTransition(int, HypIntTrans) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
setIsSpanningTreeEdge(boolean) - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
setK(int) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter k.
setK(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter k.
setLeaf(DTNode) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
setLeafSplitter(LeafSplitter) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter leafSplitter.
setLpIndex(int) - Method in class de.learnlib.datastructure.observationtable.RowImpl
setMaxDepth(int) - Method in class de.learnlib.oracle.equivalence.IncrementalWMethodEQOracle
setMaxNumberOfSteps(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter maxNumberOfSteps.
setMaxPathLen(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter maxPathLen.
setModelParams(MMLTModelParams<O>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter modelParams.
setMultiplier(double) - Method in interface de.learnlib.oracle.AutomatonOracle: Sets the multiplier value.
setMultiplier(double) - Method in class de.learnlib.util.AbstractBFOracle
setNext(IntrusiveListEntry<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
setNonTreeTarget(DTNode) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.AbstractHypTrans
setNumGeneratePaths(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter numGeneratePaths.
setOneShotTimer(String) - Method in class de.learnlib.algorithm.lstar.mmlt.LocationTimerInfo: Sets the given timer to one-shot, ensuring that there is only one one-shot timer at a time.
setOptimizationMetric(KWayTransitionCoverTestsIterator.OptimizationMetric) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter optimizationMetric.
setOracle(AdaptiveMembershipOracle<I, O>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter oracle.
setOracle(AdaptiveMembershipOracle<I, O>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, D>) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, D>) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, O>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, O>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter oracle.
setOracle(MembershipOracle<I, O>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
setOutput(O) - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
setOutput(O) - Method in class de.learnlib.algorithm.ttt.moore.TTTStateMoore
setParallel(boolean) - Method in class de.learnlib.algorithm.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.algorithm.adt.adt.ADTResetNode
setPrev(IntrusiveListEntry<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
setProcessingOrder(ProcessingOrder) - Method in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI: Sets the order in which the respective merge candidates should be processed.
setProperty(SP) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
setProperty(TP) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HTransition
setRandom(Random) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter random.
setRandom(Random) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter random.
setRandom(Random) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter random.
setRandomWalkLen(int) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter randomWalkLen.
setRandomWalkLen(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter randomWalkLen.
setRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation.
setRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation.
setRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation.
setRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation.
setRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation.
setReturnTransition(int, int, HypRetTrans) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
setRoot(AbstractDTNode<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
setRowContentId(int) - Method in class de.learnlib.datastructure.observationtable.RowImpl: Sets the ID of the row contents.
setRule2(Rule2) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter rule2.
setRule3(Rule3) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter rule3.
setSiftNode(ADTNode<ADTState<I, O>, I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
setSinkOutput(O) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter sinkOutput.
setSinkState(Word) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter sinkState.
setSource(ADTState<I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
setSplitData(SplitData<O, T>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
setState(DTLeaf<I, D>) - Method in interface de.learnlib.algorithm.lambda.ttt.pt.PTNode
setState(DTLeaf<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
setState(S) - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
setStateLabel(O) - Method in class de.learnlib.datastructure.discriminationtree.SplitData: Sets the state label associated with this split data.
setSubtreeReplacer(SubtreeReplacer) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter subtreeReplacer.
setSuccessor(int, RowImpl) - Method in class de.learnlib.datastructure.observationtable.RowImpl: Sets the successor row for this short label row and the given alphabet symbol (by index).
setSuccessor(int, S, int) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
setSuccessor(int, S, int) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTAState
setSuffixFinder(GlobalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter suffixFinder.
setSuffixFinder(LocalSuffixFinder<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter suffixFinder.
setSuffixFinder(LocalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter suffixFinder.
setSuffixFinder(LocalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter suffixFinder.
setSuffixFinder(LocalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter suffixFinder.
setSymbol(I) - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
setSymbolFilter(RefutableSymbolFilter<TimedInput, InputSymbol>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter symbolFilter.
setTarget(ADTState<I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTTransition
setTemp(boolean) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractTemporaryIntrusiveDTNode
setText(StatisticsKey, String) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.setText(StatisticsKey, String, Object) that uses null as owner.
setText(StatisticsKey, String, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
setText(StatisticsKey, String, Object) - Method in interface de.learnlib.statistic.StatisticsService: Stores the provided text for the given key and owner.
setTimeOracle(TimedQueryOracle<I, O>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter timeOracle.
setTransition(int, HTransition<I, O, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
setTransition(int, TTTTransition<I, D>) - Method in class de.learnlib.algorithm.ttt.base.TTTState
setTransition(ADTState<I, O>, I, ADTTransition<I, O>) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
setTransition(S, I, S, Row, int) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
setTransitionOutput(ADTTransition<I, O>, O) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
setup() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
setup() - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
setup() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
setUp() - Method in class de.learnlib.testsupport.AbstractBFOracleTest
setUseObservationTree(boolean) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter useObservationTree.
SEVPALockableOracle - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
SEVPALockableOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.testsupport.it.util.SEVPALockableOracle: Delegates to LockableOracle(MembershipOracle).
SEVPASimulatorOracle - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
SEVPASimulatorOracle(SEVPA<?, I>) - Constructor for class de.learnlib.oracle.membership.SEVPASimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
SHAHBAZ - Static variable in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
SHAHBAZ - Static variable in class de.learnlib.counterexample.GlobalSuffixFinders: Adds all suffixes of the remainder of the input word, after stripping a maximal one-letter extension of an access sequence.
shortenCounterExample(MooreMachine<?, I, ?, O>, DefaultQuery<I, Word<O>>) - Static method in class de.learnlib.util.moore.MooreUtil
shortenCounterExample(MealyTransitionSystem<?, I, ?, O>, DefaultQuery<I, Word<O>>) - Static method in class de.learnlib.util.mealy.MealyUtil
showsStatesAreApart(ObservationTree<S, I, O>, S, S) - Static method in class de.learnlib.algorithm.lsharp.ApartnessUtil
shutdown() - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessor
shutdown() - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessor
shutdown() - Method in interface de.learnlib.oracle.ThreadPool: Shuts down all worker threads, but waits for any queued queries to be processed.
shutdownNow() - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessor
shutdownNow() - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessor
shutdownNow() - Method in interface de.learnlib.oracle.ThreadPool: Shuts down all worker threads, and attempts to abort any query processing currently taking place.
sift(DTNode, Word) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTree
sift(DTNode, Word, boolean) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTree
sift(AbstractBaseDTNode<I, D>, Word) - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
sift(AbstractBaseDTNode<I, D>, Word, boolean) - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
sift(MembershipOracle<I, D>, PTNode<I, D>) - Method in class de.learnlib.algorithm.lambda.ttt.dt.AbstractDecisionTree
sift(List<DTNode>, List<Word>) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTree
sift(List<DTNode>, List<Word>, boolean) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTree
sift(List<AbstractBaseDTNode<I, D>>, List<Word>) - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
sift(List<AbstractBaseDTNode<I, D>>, List<Word>, boolean) - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree
sift(List<N>, List<Word>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
sift(List<N>, List<Word>, Predicate<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
sift(Word) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
sift(Word, boolean) - Method in class de.learnlib.algorithm.ttt.base.BaseTTTDiscriminationTree: Sifts an access sequence provided by an object into the tree, starting at the root.
sift(N, Word) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
sift(N, Word, Predicate<N>) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDiscriminationTree
silentOutput() - Method in record class de.learnlib.time.MMLTModelParams: Returns the value of the silentOutput record component.
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>) - Constructor for class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
SimplePOJOExceptionMapper - Class in de.learnlib.driver.reflect: A mapper that wraps any kind of RuntimeException that occurs during steps of the SimplePOJOTestDriver into a MappedException whose output is an Error object, followed by repeated Unobserved outputs.
SimplePOJOExceptionMapper() - Constructor for class de.learnlib.driver.reflect.SimplePOJOExceptionMapper
SimplePOJOTestDriver - Class in de.learnlib.driver.reflect: A test driver for plain old java objects.
SimplePOJOTestDriver(Class<?>) - Constructor for class de.learnlib.driver.reflect.SimplePOJOTestDriver
SimplePOJOTestDriver(Constructor<?>, Object...) - Constructor for class de.learnlib.driver.reflect.SimplePOJOTestDriver
SimulatorEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.mmlt: A simulator oracle for MMLTs.
SimulatorEQOracle - Class in de.learnlib.oracle.equivalence.sba
SimulatorEQOracle<A extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & Output<I,D>,I,D> - Class in de.learnlib.oracle.equivalence
SimulatorEQOracle - Class in de.learnlib.oracle.equivalence.spa
SimulatorEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.spmm
SimulatorEQOracle - Class in de.learnlib.oracle.equivalence.vpa: An equivalence oracle based on the computation of a separating word for a given hypothesis and a previously known target system.
SimulatorEQOracle(A) - Constructor for class de.learnlib.oracle.equivalence.SimulatorEQOracle
SimulatorEQOracle(MMLT<?, I, ?, O>) - Constructor for class de.learnlib.oracle.equivalence.mmlt.SimulatorEQOracle
SimulatorEQOracle(SBA<?, I>) - Constructor for class de.learnlib.oracle.equivalence.sba.SimulatorEQOracle
SimulatorEQOracle(SPA<?, I>) - Constructor for class de.learnlib.oracle.equivalence.spa.SimulatorEQOracle
SimulatorEQOracle(SPMM<?, I, ?, O>) - Constructor for class de.learnlib.oracle.equivalence.spmm.SimulatorEQOracle
SimulatorEQOracle(OneSEVPA<?, I>) - Constructor for class de.learnlib.oracle.equivalence.vpa.SimulatorEQOracle
SimulatorOmegaOracle<S,I,D> - Class in de.learnlib.oracle.membership: Answers OmegaQuerys by simulating an automaton.
SimulatorOmegaOracle(A, SimulatorOracle<I, D>) - Constructor for class de.learnlib.oracle.membership.SimulatorOmegaOracle: Constructs a new SimulatorOmegaOracle.
SimulatorOmegaOracle.DFASimulatorOmegaOracle<S,I> - Class in de.learnlib.oracle.membership
SimulatorOmegaOracle.MealySimulatorOmegaOracle<S,I,O> - Class in de.learnlib.oracle.membership
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.
SINGLE_BEST_EFFORT - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
SINGLE_MIN_LENGTH - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
SINGLE_MIN_SIZE - Static variable in class de.learnlib.algorithm.adt.config.SubtreeReplacers
SingleAdaptiveMembershipOracle<I,O> - Interface in de.learnlib.oracle: An AdaptiveMembershipOracle that answers single queries.
SingleQueryOmegaOracle<S,I,D> - Interface in de.learnlib.oracle: An OmegaMembershipOracle that answers single queries.
SingleQueryOmegaOracle.SingleQueryOmegaOracleDFA<S,I> - Interface in de.learnlib.oracle
SingleQueryOmegaOracle.SingleQueryOmegaOracleMealy<S,I,O> - Interface in de.learnlib.oracle
SingleQueryOracle<I,D> - Interface in de.learnlib.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 - Interface in de.learnlib.oracle
SingleQueryOracle.SingleQueryOracleMealy<I,O> - Interface in de.learnlib.oracle
SingleQueryOracle.SingleQueryOracleMMLT<I,O> - Interface in de.learnlib.oracle
SingleQueryOracle.SingleQueryOracleMoore<I,O> - Interface in de.learnlib.oracle
SingleReplacer - Class in de.learnlib.algorithm.adt.config.model.replacer
SingleReplacer(ADSCalculator) - Constructor for class de.learnlib.algorithm.adt.config.model.replacer.SingleReplacer
size() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
size() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
size() - Method in class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
size() - Method in class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
size() - Method in class de.learnlib.algorithm.lsharp.ads.ArenaTree
size() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.OneSEVPAHypothesis
size() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
size() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
size() - Method in class de.learnlib.datastructure.list.IntrusiveList: Returns this size of this list, i.e., the number of elements excluding the self-referential head reference.
size() - Method in class de.learnlib.filter.reuse.tree.BoundedDeque
SPALearner<I,L extends LearningAlgorithm.DFALearner & SupportsGrowingAlphabet & AccessSequenceTransformer> - Class in de.learnlib.algorithm.procedural.spa: A learning algorithm for SPAs.
SPALearner(ProceduralInputAlphabet, MembershipOracle<I, Boolean>, LearnerConstructor<L, I, Boolean>) - Constructor for class de.learnlib.algorithm.procedural.spa.SPALearner
SPALearner(ProceduralInputAlphabet, MembershipOracle<I, Boolean>, Mapping<I, LearnerConstructor<L, I, Boolean>>, AcexAnalyzer, ATRManager) - Constructor for class de.learnlib.algorithm.procedural.spa.SPALearner
SPALearnerITCase - Class in de.learnlib.testsupport.it.testcase
SPALearnerITCase(LearnerVariant<SPA<?, I>, I, Boolean>, LearningExample.SPALearningExample, SPALockableOracle, EquivalenceOracle<? super SPA<?, I>, I, Boolean>) - Constructor for class de.learnlib.testsupport.it.testcase.SPALearnerITCase
SPALearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.SPALearnerVariantListImpl
SPALockableOracle - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
SPALockableOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.testsupport.it.util.SPALockableOracle: Delegates to LockableOracle(MembershipOracle).
SparseLearner<I,O> - Class in de.learnlib.algorithm.sparse: Optimized implementation of the L^s learning algorithm, as described in the paper Learning Mealy Machines with Sparse Observation Tables by Wolffhardt Schwabe, Paul Kogel, and Sabine Glesner.
SparseLearner(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.sparse.SparseLearner
SparseLearner(Alphabet, MembershipOracle<I, Word<O>>, List<Word>) - Constructor for class de.learnlib.algorithm.sparse.SparseLearner
SPASimulatorOracle - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
SPASimulatorOracle(SPA<?, I>) - Constructor for class de.learnlib.oracle.membership.SPASimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
split(ADTNode<S, I, O>, Word, Word<O>, Word<O>) - Method in interface de.learnlib.algorithm.adt.api.LeafSplitter: Split the specified node to correctly distinguish between the old and new hypothesis state.
split(ContextPair, Map<Boolean, DTNode>) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
split(MembershipOracle<I, D>, PTNode<I, D>, PTNode<I, D>, I) - Method in class de.learnlib.algorithm.lambda.ttt.dt.DTLeaf
split(DSCR, O) - Method in class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode
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<O,T> - 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(CI, CI, Word<CI>, Word<CI>, D) - Method in class de.learnlib.algorithm.aaar.abstraction.AbstractAbstractionTree
splitLeaf(ADTNode<S, I, O>, Word, Word<O>, Word<O>, LeafSplitter) - Method in class de.learnlib.algorithm.adt.adt.ADT: Splits a leaf node using a given LeafSplitter.
splitParent(ADTNode<S, I, O>, Word, Word<O>, Word<O>) - Static method in class de.learnlib.algorithm.adt.config.LeafSplitters
SplitResult(N, N) - Constructor for class de.learnlib.datastructure.discriminationtree.model.AbstractDTNode.SplitResult
Splitter - Class in de.learnlib.algorithm.ttt.vpa: Data structure for representing a splitter.
Splitter(int) - Constructor for class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.Splitter
Splitter(int, AbstractBaseDTNode<I, D>) - Constructor for class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.Splitter
Splitter(I, DTNode) - Constructor for class de.learnlib.algorithm.ttt.vpa.Splitter
Splitter(I, HypLoc, I, boolean, DTNode) - Constructor for class de.learnlib.algorithm.ttt.vpa.Splitter
Splitter.SplitType - Enum Class in de.learnlib.algorithm.ttt.vpa
SPMMLearner<I,O,L extends LearningAlgorithm.MealyLearner<SymbolWrapper,O> & SupportsGrowingAlphabet<SymbolWrapper> & AccessSequenceTransformer<SymbolWrapper>> - Class in de.learnlib.algorithm.procedural.spmm: A learning algorithm for SPMMs.
SPMMLearner(ProceduralInputAlphabet, O, MembershipOracle<I, Word<O>>, LearnerConstructor<L, SymbolWrapper, Word<O>>) - Constructor for class de.learnlib.algorithm.procedural.spmm.SPMMLearner
SPMMLearner(ProceduralInputAlphabet, O, MembershipOracle<I, Word<O>>, Mapping<I, LearnerConstructor<L, SymbolWrapper, Word<O>>>, ATManager<I, O>) - Constructor for class de.learnlib.algorithm.procedural.spmm.SPMMLearner
SPMMLearnerITCase<I,O> - Class in de.learnlib.testsupport.it.testcase
SPMMLearnerITCase(LearnerVariant<SPMM<?, I, ?, O>, I, Word<O>>, LearningExample.SPMMLearningExample<I, O>, SPMMLockableOracle<I, O>, EquivalenceOracle<? super SPMM<?, I, ?, O>, I, Word<O>>) - Constructor for class de.learnlib.testsupport.it.testcase.SPMMLearnerITCase
SPMMLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.LearnerVariantListImpl.SPMMLearnerVariantListImpl
SPMMLockableOracle<I,O> - Class in de.learnlib.testsupport.it.util: A type-specific refinement of LockableOracle.
SPMMLockableOracle(MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.testsupport.it.util.SPMMLockableOracle: Delegates to LockableOracle(MembershipOracle).
SPMMSimulatorOracle<I,O> - Class in de.learnlib.oracle.membership: A type-specific refinement of SimulatorOracle.
SPMMSimulatorOracle(SPMM<?, I, ?, O>) - Constructor for class de.learnlib.oracle.membership.SPMMSimulatorOracle: Delegates to SimulatorOracle(net.automatalib.automaton.concept.SuffixOutput).
spQuery(HState<I, D, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
spQuery(HState<I, Boolean, Boolean, Void>) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFA
spQuery(HState<I, Word<O>, Void, O>) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealy
spQuery(HState<I, Word<O>, O, Void>) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMoore
srcState - Variable in class de.learnlib.algorithm.ttt.base.OutputInconsistency
SSTLearnerVariantListImpl() - Constructor for class de.learnlib.testsupport.it.variant.PassiveLearnerVariantListImpl.SSTLearnerVariantListImpl
started - Variable in class de.learnlib.algorithm.lambda.ttt.TTTLambdaState
startLearning() - Method in class de.learnlib.algorithm.aaar.AbstractAAARLearner
startLearning() - Method in class de.learnlib.algorithm.aaar.TranslatingLearnerWrapper
startLearning() - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
startLearning() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
startLearning() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
startLearning() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
startLearning() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
startLearning() - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
startLearning() - Method in interface de.learnlib.algorithm.LearningAlgorithm: Starts the model inference process, creating an initial hypothesis in the provided model object.
startLearning() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
startLearning() - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
startLearning() - Method in class de.learnlib.algorithm.lstar.AbstractLStar
startLearning() - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLT
startLearning() - Method in class de.learnlib.algorithm.nlstar.NLStarLearner
startLearning() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
startLearning() - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
startLearning() - Method in class de.learnlib.algorithm.procedural.sba.SBALearner
startLearning() - Method in class de.learnlib.algorithm.procedural.spa.SPALearner
startLearning() - Method in class de.learnlib.algorithm.procedural.spmm.SPMMLearner
startLearning() - Method in class de.learnlib.algorithm.sparse.SparseLearner
startLearning() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
startLearning() - Method in class de.learnlib.filter.statistic.learner.RefinementCounterLearner
startLearning() - Method in class de.learnlib.util.nfa.NFALearnerWrapper
startOrResumeClock(StatisticsKey) - Method in interface de.learnlib.statistic.StatisticsService: Convenience method for StatisticsService.startOrResumeClock(StatisticsKey, Object) that uses null as owner.
startOrResumeClock(StatisticsKey, Object) - Method in class de.learnlib.filter.statistic.container.MapStatisticsService
startOrResumeClock(StatisticsKey, Object) - Method in interface de.learnlib.statistic.StatisticsService: Starts the clock with the given key for the given owner.
state() - Method in interface de.learnlib.algorithm.lambda.ttt.pt.PTNode
state() - Method in class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
State - Class in de.learnlib.algorithm.ostia
stateIDs() - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
stateIDs() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
StateInfo<I,D> - Class in de.learnlib.algorithm.kv: The information associated with a state: it's access sequence (or access string), and the list of incoming transitions.
StateInfo(int, Word) - Constructor for class de.learnlib.algorithm.kv.StateInfo
stateInfos - Variable in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
stateInfos - Variable in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
stateInfos - Variable in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
StateLocalInputMealySimulatorEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.mealy
StateLocalInputMealySimulatorEQOracle(MealyMachine<?, I, ?, O>, Alphabet, O) - Constructor for class de.learnlib.oracle.equivalence.mealy.StateLocalInputMealySimulatorEQOracle
StateLocalInputMealySimulatorSUL<I,O> - Class in de.learnlib.driver.simulator
StateLocalInputMealySimulatorSUL(StateLocalInputMealyMachine<?, I, ?, O>) - Constructor for class de.learnlib.driver.simulator.StateLocalInputMealySimulatorSUL
StateLocalInputSUL<I,O> - Interface in de.learnlib.sul: A System Under Learning (SUL) which can additionally report the inputs that the SUL can process in its current state, i.e. inputs that will not trigger a SULException when used in the next invocation of the SUL.step(Object) method return an otherwise "undefined" behavior.
StateLocalInputSULAdaptiveOracle<I,O> - Class in de.learnlib.oracle.membership: A AdaptiveMembershipOracle wrapper for StateLocalInputSULs.
StateLocalInputSULAdaptiveOracle(StateLocalInputSUL<I, O>, O) - Constructor for class de.learnlib.oracle.membership.StateLocalInputSULAdaptiveOracle
StateLocalInputSULCache<I,O> - Class in de.learnlib.filter.cache.sul: A SULCache that additionally caches the currently enabled inputs of the given StateLocalInputSUL.
StateLocalInputSULCache.StateLocalInputSULCacheState<I,O> - Class in de.learnlib.filter.cache.sul
StateLocalInputSULOracle<I,O> - Class in de.learnlib.oracle.membership: A wrapper around a system under learning (SUL) with state local inputs.
StateLocalInputSULOracle(StateLocalInputSUL<I, O>, O) - Constructor for class de.learnlib.oracle.membership.StateLocalInputSULOracle
stateProperty(ObservationTable<I, D>, Row) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar: Derives a state property from the corresponding row.
stateProperty(ObservationTable<I, Boolean>, Row) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA
stateProperty(ObservationTable<I, Word<O>>, Row) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
stateProperty(ObservationTable<I, Word<O>>, Row) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore
stateProperty(ObservationTable<I, O>, Row) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy
stateProperty(ObservationTable<I, O>, Row) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMoore
states - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis
statesAreApart(ObservationTree<S, I, O>, S, S) - Static method in class de.learnlib.algorithm.lsharp.ApartnessUtil
StaticParallelAdaptiveOracle<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessor for AdaptiveMembershipOracles that implements ParallelAdaptiveOracle.
StaticParallelAdaptiveOracle(Collection<? extends AdaptiveMembershipOracle<I, O>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelAdaptiveOracle
StaticParallelAdaptiveOracleBuilder<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessorBuilder for AdaptiveMembershipOracles.
StaticParallelAdaptiveOracleBuilder(Collection<? extends AdaptiveMembershipOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelAdaptiveOracleBuilder
StaticParallelAdaptiveOracleBuilder(Supplier<? extends AdaptiveMembershipOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelAdaptiveOracleBuilder
StaticParallelOmegaOracle<S,I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessor for OmegaMembershipOracles that implements ParallelOmegaOracle.
StaticParallelOmegaOracle(Collection<? extends OmegaMembershipOracle<S, I, D>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOmegaOracle
StaticParallelOmegaOracleBuilder<S,I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessorBuilder for OmegaMembershipOracles.
StaticParallelOmegaOracleBuilder(Collection<? extends OmegaMembershipOracle<S, I, D>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOmegaOracleBuilder
StaticParallelOmegaOracleBuilder(Supplier<? extends OmegaMembershipOracle<S, I, D>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOmegaOracleBuilder
StaticParallelOracle<I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessor for MembershipOracles that implements ParallelOracle.
StaticParallelOracle(Collection<? extends MembershipOracle<I, D>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelOracle
StaticParallelOracleBuilder<I,D> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessorBuilder for MembershipOracles.
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
StaticParallelTimedQueryOracle<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessor for TimedQueryOracles that implements ParallelTimedQueryOracle.
StaticParallelTimedQueryOracle(Collection<? extends TimedQueryOracle<I, O>>, int, ExecutorService) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelTimedQueryOracle
StaticParallelTimedQueryOracleBuilder<I,O> - Class in de.learnlib.oracle.parallelism: A specialized AbstractStaticBatchProcessorBuilder for TimedQueryOracles.
StaticParallelTimedQueryOracleBuilder(Collection<? extends TimedQueryOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelTimedQueryOracleBuilder
StaticParallelTimedQueryOracleBuilder(Supplier<? extends TimedQueryOracle<I, O>>) - Constructor for class de.learnlib.oracle.parallelism.StaticParallelTimedQueryOracleBuilder
STATISTIC - Static variable in class de.learnlib.logging.Category: Marker for statistic-related properties.
statistics - Variable in class de.learnlib.filter.statistic.sul.CounterSUL
statistics - Variable in class de.learnlib.util.Experiment
Statistics - Class in de.learnlib.statistic: Factory for obtaining StatisticsServices.
StatisticsKey - Class in de.learnlib.statistic: A key to be used when interacting with StatisticsServices.
StatisticsKey(String) - Constructor for class de.learnlib.statistic.StatisticsKey: Convenience constructor for StatisticsKey(String, String) which sets description to null.
StatisticsKey(String, String) - Constructor for class de.learnlib.statistic.StatisticsKey: Convenience constructor for StatisticsKey(String, String, String) which sets id to null.
StatisticsKey(String, String, String) - Constructor for class de.learnlib.statistic.StatisticsKey: Constructor for creating a StatisticsKey with the given base key and id, as well as a description.
StatisticsProvider - Interface in de.learnlib.statistic: A statistics provider is a means to register different implementations of StatisticsServices via service loading.
StatisticsService - Interface in de.learnlib.statistic: A service that allows for collecting various statistics of different types.
StdInOracle - Class in de.learnlib.oracle.membership: An oracle that delegates its queries to an external program via the command-line interface.
StdInOracle(List<String>) - Constructor for class de.learnlib.oracle.membership.StdInOracle: Constructor.
StdInOracle(List<String>, String) - Constructor for class de.learnlib.oracle.membership.StdInOracle: Constructor.
StdInOutputAdaptiveOracle<I,O> - Class in de.learnlib.oracle.membership: An oracle that delegates its queries to an external program via the command-line interface.
StdInOutputAdaptiveOracle(List<String>, Function<String, O>, String) - Constructor for class de.learnlib.oracle.membership.StdInOutputAdaptiveOracle: Constructor.
StdInOutputOracle<I,D> - Class in de.learnlib.oracle.membership: An oracle that delegates its queries to an external program via the command-line interface.
StdInOutputOracle(List<String>, StdInOutputOracle.OutputTransformer<D>) - Constructor for class de.learnlib.oracle.membership.StdInOutputOracle: Constructor.
StdInOutputOracle(List<String>, StdInOutputOracle.OutputTransformer<D>, String) - Constructor for class de.learnlib.oracle.membership.StdInOutputOracle: Constructor.
StdInOutputOracle.OutputTransformer<D> - Interface in de.learnlib.oracle.membership: Transformer for converting the String-based output of a CLI application to a custom-typed output.
step(AI) - Method in class de.learnlib.mapper.MappedSUL
step(I) - Method in class de.learnlib.driver.AbstractContextExecutableInputSUL
step(I) - Method in class de.learnlib.driver.ExecutableInputSUL
step(I) - Method in class de.learnlib.driver.simulator.MealySimulatorSUL
step(I) - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
step(I) - Method in class de.learnlib.filter.statistic.sul.CounterSUL
step(I) - Method in interface de.learnlib.sul.SUL: make one step on the SUL.
step(InputSymbol) - Method in class de.learnlib.filter.cache.mmlt.TimedSULTreeCache
step(InputSymbol) - Method in class de.learnlib.filter.cache.mmlt.TimeoutReducerSUL
STNode - Interface in de.learnlib.algorithm.lambda.ttt.st
strie - Variable in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
strie - Variable in class de.learnlib.algorithm.lambda.ttt.TTTLambdaState
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.algorithm.observationpack.vpa.hypothesis.DTNode
subtreeLocsIterator() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
subtreeNodesIterator() - Method in class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
SubtreeReplacer - Interface in de.learnlib.algorithm.adt.api: Interface for configuration objects that specify how nodes of the current ADT should be replaced.
SubtreeReplacers - Class in de.learnlib.algorithm.adt.config: A collection of default SubtreeReplacer configurations.
subtreeStates() - Method in class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
subtreeStatesIterator() - Method in class de.learnlib.algorithm.ttt.base.AbstractBaseDTNode
succ(I) - Method in interface de.learnlib.algorithm.lambda.ttt.pt.PTNode
succ(I) - Method in class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
succEffect(D) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
succEffect(Boolean) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
succEffect(Word<O>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
succEffect(Word<O>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
successors - Variable in class de.learnlib.datastructure.pta.AbstractBasePTAState
succSeparator - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.Splitter
succSeparator - Variable in class de.learnlib.algorithm.ttt.vpa.Splitter
suffix - Variable in class de.learnlib.algorithm.aaar.abstraction.Node.InnerNode
suffix - Variable in class de.learnlib.algorithm.ttt.base.OutputInconsistency
suffix - Variable in class de.learnlib.query.AbstractQuery
suffix() - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Returns the value of the suffix record component.
SUFFIX1BY1 - Static variable in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
SuffixASCIIReader<I,D> - Class in de.learnlib.datastructure.observationtable.reader
SuffixASCIIReader() - Constructor for class de.learnlib.datastructure.observationtable.reader.SuffixASCIIReader
SuffixASCIIWriter<I,D> - Class in de.learnlib.datastructure.observationtable.writer: A de.learnlib.datastructures.writer which stores the suffixes of an ObservationTable in plaintext.
SuffixASCIIWriter() - Constructor for class de.learnlib.datastructure.observationtable.writer.SuffixASCIIWriter
suffixesForLocalOutput(Query<I, D>, int) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Transforms a suffix index returned by a LocalSuffixFinder into a list containing the single distinguishing suffix.
suffixesForLocalOutput(Query<I, D>, int, boolean) - Static method in class de.learnlib.counterexample.GlobalSuffixFinders: Transforms a suffix index returned by a LocalSuffixFinder into a list of distinguishing suffixes.
suffixFinder() - Static method in class de.learnlib.algorithm.observationpack.AbstractOPLearner.BuilderDefaults
SuffixTrie - Class in de.learnlib.algorithm.lambda.ttt.st
SuffixTrie() - Constructor for class de.learnlib.algorithm.lambda.ttt.st.SuffixTrie
SUL<I,O> - Interface in de.learnlib.sul: Interface for a system under learning (SUL) that can make single steps.
SULAdaptiveOracle<I,O> - Class in de.learnlib.oracle.membership: A wrapper that allows to use a SUL where a AdaptiveMembershipOracle is expected.
SULAdaptiveOracle(SUL<I, O>) - Constructor for class de.learnlib.oracle.membership.SULAdaptiveOracle
SULCache<I,O> - Class in de.learnlib.filter.cache.sul: A cache to be used with a SUL.
SULCaches - Class in de.learnlib.filter.cache.sul: A factory for creating caches for SULs.
SULException - Exception in de.learnlib.exception: Unchecked exception class that can be used by implementors of a SUL to wrap any exceptions that occur during the SUL.step(Object) methods.
SULException(Throwable) - Constructor for exception de.learnlib.exception.SULException: Creates a SULException wrapped around a Throwable.
SULMapper<AI,AO,CI,CO> - Interface in de.learnlib.sul: An extension of the Mapper interface specifically for SULs.
SULMappers - Class in de.learnlib.mapper: Utility methods for manipulating mappers.
SULOracle<I,O> - Class in de.learnlib.oracle.membership: A wrapper around a system under learning (SUL).
SULOracle(SUL<I, O>) - Constructor for class de.learnlib.oracle.membership.SULOracle
suspend() - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
suspend() - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
suspend() - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
suspend() - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
suspend() - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
suspend() - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
suspend() - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar
suspend() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
suspend() - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
suspend() - Method in class de.learnlib.filter.cache.dfa.DFACacheOracle
suspend() - Method in class de.learnlib.filter.cache.dfa.DFAHashCacheOracle
suspend() - Method in class de.learnlib.filter.cache.mealy.AdaptiveQueryCache
suspend() - Method in class de.learnlib.filter.cache.mealy.MealyCacheOracle
suspend() - Method in class de.learnlib.filter.cache.moore.MooreCacheOracle
suspend() - Method in class de.learnlib.filter.cache.sul.ThreadSafeStateLocalInputSULCache
suspend() - Method in interface de.learnlib.Resumable: Expose the state object.
symbol - Variable in class de.learnlib.algorithm.ttt.vpa.Splitter
SYMBOL - Enum constant in enum class de.learnlib.query.AdaptiveQuery.Response: Indicates that further symbols follow.
SYMBOL_NODE - Enum constant in enum class de.learnlib.algorithm.adt.adt.ADTNode.NodeType
SymbolEQOracleWrapper<A extends DeterministicSuffixOutputAutomaton<?,I,?,Word<O>>,I,O> - Class in de.learnlib.oracle.equivalence.mealy
SymbolEQOracleWrapper(EquivalenceOracle<? super A, I, Word<O>>) - Constructor for class de.learnlib.oracle.equivalence.mealy.SymbolEQOracleWrapper
SymbolFilter<U,V> - Interface in de.learnlib.filter: A symbol filter allows one to incorporate additional external knowledge by predicting whether a given transition (identified by an input symbol) is ignorable in a given state (identified by an access sequence).
symbolIdx - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner.Splitter
SymbolWrapper - Class in de.learnlib.algorithm.procedural: A utility class to annotate an input symbol with a (boolean) continuable flag.
SymbolWrapper(I, boolean) - Constructor for class de.learnlib.algorithm.procedural.SymbolWrapper
SYSTEM - Static variable in class de.learnlib.logging.Category: Marker for system-related properties.
systemState - Variable in class de.learnlib.filter.reuse.tree.ReuseNode.NodeResult
systemStateHandler() - Static method in class de.learnlib.filter.reuse.BuilderDefaults
SystemStateHandler<S> - Interface in de.learnlib.filter.reuse.tree: An implementation of this interface that is set to the ReuseTree (see ReuseOracleBuilder.withSystemStateHandler(SystemStateHandler)) will be informed about all removed system states whenever ReuseTree.disposeSystemStates() gets called.
systemStatesIterator() - Method in class de.learnlib.filter.reuse.tree.ReuseNode

T

table - Variable in class de.learnlib.algorithm.lstar.AbstractLStar
target - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.TTTEdge
targetOut - Variable in class de.learnlib.algorithm.ttt.base.OutputInconsistency
targetOut() - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Returns the value of the targetOut record component.
tearDown() - Method in class de.learnlib.testsupport.AbstractBFOracleTest
testAddWord() - Method in class de.learnlib.testsupport.AbstractBFOracleTest
testCorrectTransformations() - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
testEffects(int, int) - Method in interface de.learnlib.acex.AbstractCounterexample
testEquivalence(M) - Method in class de.learnlib.testsupport.it.testcase.AbstractLearnerVariantITCase
testEquivalence(M) - Method in class de.learnlib.testsupport.it.testcase.UniversalDeterministicLearnerITCase
testEquivalence(MMLT<?, I, ?, O>) - Method in class de.learnlib.testsupport.it.testcase.MMLTLearnerITCase
testEquivalence(SBA<?, I>) - Method in class de.learnlib.testsupport.it.testcase.SBALearnerITCase
testEquivalence(SPA<?, I>) - Method in class de.learnlib.testsupport.it.testcase.SPALearnerITCase
testEquivalence(SPMM<?, I, ?, O>) - Method in class de.learnlib.testsupport.it.testcase.SPMMLearnerITCase
testEquivalence(OneSEVPA<?, I>) - Method in class de.learnlib.testsupport.it.testcase.OneSEVPALearnerITCase
testExceptionBeforeStart() - Method in class de.learnlib.testsupport.AbstractLearnerASTTest
testGetMultiplier() - Method in class de.learnlib.testsupport.AbstractBFOracleTest
testGrowingAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest: In case of passing a growing alphabet, the learners may use the existing GrowingAlphabet.addSymbol(Object) functionality.
testInitialAlphabet() - Method in class de.learnlib.testsupport.AbstractGrowingAlphabetTest
testLearning() - Method in class de.learnlib.testsupport.it.testcase.AbstractLearnerVariantITCase
testLearning() - Method in class de.learnlib.testsupport.it.testcase.PassiveLearnerVariantITCase
testNextInput() - Method in class de.learnlib.testsupport.AbstractBFOracleTest: Tests breadth-first order.
testPre() - Method in class de.learnlib.testsupport.AbstractBFOracleTest
testSuspendAndResumeLearner() - Method in class de.learnlib.testsupport.AbstractResumableLearnerTest
TestWordGenerator<A,I> - Interface in de.learnlib: A markup interface for generators of testing sequences (such as EquivalenceOracle implementations).
ThreadPool - Interface in de.learnlib.oracle: A markup interface for a component that manages a pool of threads that may want to be shut down after usage.
ThreadPool.PoolPolicy - Enum Class in de.learnlib.oracle: The policy for dealing with thread pools.
ThreadSafeDFACacheOracle - Class in de.learnlib.filter.cache.dfa: A thread-safe variant of DFACacheOracle.
ThreadSafeDFACaches - Class in de.learnlib.filter.cache.dfa: A factory for creating thread-safe caches for DFA-based MembershipOracles.
ThreadSafeMealyCacheConsistencyTest<I,O> - Class in de.learnlib.filter.cache.mealy: A thread-safe variant of EquivalenceOracle.MealyEquivalenceOracle.
ThreadSafeMealyCacheConsistencyTest(EquivalenceOracle.MealyEquivalenceOracle<I, O>, ReadWriteLock) - Constructor for class de.learnlib.filter.cache.mealy.ThreadSafeMealyCacheConsistencyTest
ThreadSafeMealyCacheOracle<I,O> - Class in de.learnlib.filter.cache.mealy: A thread-safe variant of MealyCacheOracle.
ThreadSafeMealyCaches - Class in de.learnlib.filter.cache.mealy: A factory for creating thread-safe caches for MealyMachine-based MembershipOracles.
ThreadSafeMooreCacheConsistencyTest<I,O> - Class in de.learnlib.filter.cache.moore: A thread-safe variant of EquivalenceOracle.MooreEquivalenceOracle.
ThreadSafeMooreCacheConsistencyTest(EquivalenceOracle.MooreEquivalenceOracle<I, O>, ReadWriteLock) - Constructor for class de.learnlib.filter.cache.moore.ThreadSafeMooreCacheConsistencyTest
ThreadSafeMooreCacheOracle<I,O> - Class in de.learnlib.filter.cache.moore: A thread-safe variant of MealyCacheOracle.
ThreadSafeMooreCaches - Class in de.learnlib.filter.cache.moore: A factory for creating thread-safe caches for MooreMachine-based MembershipOracles.
ThreadSafeStateLocalInputSULCache<I,O> - Class in de.learnlib.filter.cache.sul: A thread-safe variant of StateLocalInputSULCache.
ThreadSafeSULCache<I,O> - Class in de.learnlib.filter.cache.sul: A thread-safe variant of SULCache.
ThreadSafeSULCaches - Class in de.learnlib.filter.cache.sul: A factory for creating thread-safe SUL caches.
TimedQueryOracle<I,O> - Interface in de.learnlib.oracle: An oracle for querying timed inputs and timers by observing timeouts.
TimedQueryOracle.TimerQueryResult<O> - Record Class in de.learnlib.oracle: Response for a timer query.
TimedSUL<I,O> - Interface in de.learnlib.sul: Interface for a SUL with MMLT semantics.
TimedSULOracle<I,O> - Class in de.learnlib.oracle.membership: Implements a TimedQueryOracle given a TimedSUL.
TimedSULOracle(TimedSUL<I, O>, MMLTModelParams<O>) - Constructor for class de.learnlib.oracle.membership.TimedSULOracle
TimedSULTreeCache<I,O> - Class in de.learnlib.filter.cache.mmlt: Caches queries sent to a TimedSUL.
TimedSULTreeCache(TimedSUL<I, O>, MMLTModelParams<O>) - Constructor for class de.learnlib.filter.cache.mmlt.TimedSULTreeCache
timeOracle - Variable in class de.learnlib.algorithm.lstar.mmlt.cex.MMLTCounterexampleHandler
TimeoutReducerSUL<I,O> - Class in de.learnlib.filter.cache.mmlt: Avoids redundant queries for timeouts.
TimeoutReducerSUL(TimedSUL<I, O>, long) - Constructor for class de.learnlib.filter.cache.mmlt.TimeoutReducerSUL
timeoutStep(long) - Method in class de.learnlib.driver.simulator.MMLTSimulatorSUL
timeoutStep(long) - Method in class de.learnlib.filter.cache.mmlt.TimedSULTreeCache
timeoutStep(long) - Method in class de.learnlib.filter.cache.mmlt.TimeoutReducerSUL
timeoutStep(long) - Method in class de.learnlib.filter.statistic.sul.CounterTimedSUL
timeoutStep(long) - Method in interface de.learnlib.sul.TimedSUL: Waits until a timeout occurs or the provided time is reached.
TimerQueryResult(boolean, List<TimerInfo<?, O>>) - Constructor for record class de.learnlib.oracle.TimedQueryOracle.TimerQueryResult: Creates an instance of a TimerQueryResult record class.
timers() - Method in record class de.learnlib.oracle.TimedQueryOracle.TimerQueryResult: Returns the value of the timers record component.
timeStep() - Method in interface de.learnlib.sul.TimedSUL: Waits for one time unit and returns the observed output.
toBytes(Object) - Static method in class de.learnlib.testsupport.ResumeUtils
toMergedAutomaton() - Method in class de.learnlib.datastructure.pta.RedBlueMerge: Returns an automaton-based view of the merge.
toShortPrefixes(List<Row>, MembershipOracle<I, D>) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
toShortPrefixes(List<Row>, MembershipOracle<I, D>) - Method in interface de.learnlib.datastructure.observationtable.MutableObservationTable: Moves the specified rows to the set of short prefix rows.
toString() - Method in class de.learnlib.acex.AbstractBaseCounterexample
toString() - Method in class de.learnlib.acex.AbstractNamedAcexAnalyzer
toString() - Method in class de.learnlib.algorithm.adt.adt.ADTResetNode
toString() - Method in class de.learnlib.algorithm.adt.adt.ADTSymbolNode
toString() - Method in class de.learnlib.algorithm.lstar.closing.CloseRandomStrategy
toString() - Method in record class de.learnlib.algorithm.lstar.mmlt.cex.MMLTOutputInconsistency: Returns a string representation of this record class.
toString() - Method in class de.learnlib.algorithm.observationpack.hypothesis.HState
toString() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.ContextPair
toString() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
toString() - Method in class de.learnlib.algorithm.ostia.State
toString() - Method in class de.learnlib.algorithm.procedural.SymbolWrapper
toString() - Method in class de.learnlib.algorithm.ttt.base.TTTState
toString() - Method in class de.learnlib.counterexample.AcexLocalSuffixFinder
toString() - Method in class de.learnlib.driver.reflect.Error
toString() - Method in class de.learnlib.driver.reflect.MethodInput
toString() - Method in class de.learnlib.driver.reflect.ReturnValue
toString() - Method in class de.learnlib.driver.reflect.Unobserved
toString() - Method in class de.learnlib.driver.reflect.VoidOutput
toString() - Method in class de.learnlib.filter.reuse.tree.ReuseEdge
toString() - Method in class de.learnlib.oracle.property.LoggingPropertyOracle
toString() - Method in record class de.learnlib.oracle.TimedQueryOracle.TimerQueryResult: Returns a string representation of this record class.
toString() - Method in class de.learnlib.query.DefaultQuery
toString() - Method in class de.learnlib.query.OmegaQuery
toString() - Method in class de.learnlib.query.Query: Returns the string representation of this query.
toString() - Method in class de.learnlib.statistic.StatisticsKey
toString() - Method in class de.learnlib.testsupport.example.dfa.ExampleKeylock
toString() - Method in record class de.learnlib.time.MMLTModelParams: Returns a string representation of this record class.
toString() - Method in class de.learnlib.util.nfa.NFALearnerWrapper
toString(ObservationTable<I, D>, ObservationTableWriter<I, D>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils
toStringWithAnswer(D) - Method in class de.learnlib.query.AbstractQuery: Returns the string representation of this query, including a possible answer.
tpQuery(HTransition<I, D, SP, TP>) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
tpQuery(HTransition<I, Boolean, Boolean, Void>) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFA
tpQuery(HTransition<I, Word<O>, Void, O>) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealy
tpQuery(HTransition<I, Word<O>, O, Void>) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMoore
trace(S, Word) - Method in class de.learnlib.algorithm.adt.model.ObservationTree: Computes the output of the system under learning when applying the given input sequence in the given hypothesis state.
transform(String, int, int) - Method in interface de.learnlib.oracle.membership.CLIOutputOracle.OutputTransformer: Transforms the provided output to a custom output object.
transform(String, int, int) - Method in interface de.learnlib.oracle.membership.StdInOutputOracle.OutputTransformer: Transforms the provided output to a custom output object.
transformAccessSequence(StackContents) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
transformAccessSequence(StackContents, HypLoc) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
transformAccessSequence(State<HypLoc>) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPA
transformAccessSequence(Word) - Method in interface de.learnlib.AccessSequenceTransformer
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.adt.automaton.ADTHypothesis
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.adt.learner.ADTLearner
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHC
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFA
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealy
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaDFA
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.lambda.lstar.LLambdaMealy
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.lambda.ttt.AbstractTTTLambda
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.lstar.AbstractLStar
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.observationpack.hypothesis.OPLearnerHypothesis
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.sparse.SparseLearner
transformAccessSequence(Word) - Method in class de.learnlib.algorithm.ttt.base.AbstractTTTLearner
transformAccessSequence(Word) - Method in class de.learnlib.datastructure.observationtable.GenericObservationTable
transformAccessSequence(Word) - Method in class de.learnlib.datastructure.observationtable.reader.SimpleObservationTable
transformingLeafIterator(N, Function<? super N, D>) - Static method in class de.learnlib.datastructure.discriminationtree.iterators.DiscriminationTreeIterators: Returns an iterator that traverses all leaves (no inner nodes) of a subtree of a given discrimination tree node.
transition - Variable in class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.TTTEdge
transitionGraphView(Collection<? extends Integer>) - Method in class de.learnlib.datastructure.pta.BasePTA
TransitionInformation<I,O> - Interface in de.learnlib.algorithm.lsharp
transitionProperty(ObservationTable<I, D>, Row, int) - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar: Derives a transition property from the corresponding transition.
transitionProperty(ObservationTable<I, Boolean>, Row, int) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFA
transitionProperty(ObservationTable<I, Word<O>>, Row, int) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
transitionProperty(ObservationTable<I, Word<O>>, Row, int) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMoore
transitionProperty(ObservationTable<I, O>, Row, int) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealy
transitionProperty(ObservationTable<I, O>, Row, int) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMoore
TranslatingDFA<S,AI,CI> - Class in de.learnlib.algorithm.aaar
TranslatingDFA(DFA<S, CI>, Function<CI, ? extends AbstractAbstractionTree<AI, CI, ?>>) - Constructor for class de.learnlib.algorithm.aaar.TranslatingDFA
TranslatingLearnerWrapper<L extends LearningAlgorithm<CM,CI,D> & SupportsGrowingAlphabet<CI>,CM,CI,D> - Class in de.learnlib.algorithm.aaar: Wraps an AbstractAAARLearner in a learner that returns AbstractAAARLearner.getTranslatingHypothesisModel() for TranslatingLearnerWrapper.getHypothesisModel() so that it can be embedded into learning processes that directly operate on concrete counterexamples.
TranslatingLearnerWrapper(AbstractAAARLearner<L, ?, CM, ?, CI, D>) - Constructor for class de.learnlib.algorithm.aaar.TranslatingLearnerWrapper
TranslatingMealyMachine<S,AI,CI,T,O> - Class in de.learnlib.algorithm.aaar
TranslatingMealyMachine(MealyMachine<S, CI, T, O>, Function<CI, ? extends AbstractAbstractionTree<AI, CI, ?>>) - Constructor for class de.learnlib.algorithm.aaar.TranslatingMealyMachine
TranslatingMooreMachine<S,AI,CI,T,O> - Class in de.learnlib.algorithm.aaar
TranslatingMooreMachine(MooreMachine<S, CI, T, O>, Function<CI, ? extends AbstractAbstractionTree<AI, CI, ?>>) - Constructor for class de.learnlib.algorithm.aaar.TranslatingMooreMachine
TransList - Class in de.learnlib.algorithm.observationpack.vpa.hypothesis: A list of transitions.
TransList() - Constructor for class de.learnlib.algorithm.observationpack.vpa.hypothesis.TransList
transProperties - Variable in class de.learnlib.datastructure.pta.AbstractBasePTAState
treeAndHypComputeWitness(ObservationTree<S1, I, O>, S1, MealyMachine<S2, I, ?, O>, S2) - Static method in class de.learnlib.algorithm.lsharp.ApartnessUtil
treeAndHypShowsStatesAreApart(ObservationTree<S1, I, O>, S1, S2, MealyMachine<S2, I, ?, O>) - Static method in class de.learnlib.algorithm.lsharp.ApartnessUtil
treeIsAdequate() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
tryMerge(BlueFringePTA<SP, TP>, BlueFringePTAState<SP, TP>, BlueFringePTAState<SP, TP>) - Method in class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI: Attempts to merge a blue state into a red state.
tryMerge(S, S) - Method in class de.learnlib.datastructure.pta.AbstractBlueFringePTA
tryMergeStateProperty(SP) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
tryMergeTransitionProperty(int, int, TP) - Method in class de.learnlib.datastructure.pta.AbstractBasePTAState
TTTDTNodeDFA - Class in de.learnlib.algorithm.ttt.dfa: Binary discrimination tree node specialization.
TTTDTNodeDFA() - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTDTNodeDFA
TTTDTNodeDFA(AbstractBaseDTNode<I, Boolean>, Boolean) - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTDTNodeDFA
TTTDTNodeMealy<I,D> - Class in de.learnlib.algorithm.ttt.mealy: Generic n-ary discrimination tree node specialization.
TTTDTNodeMealy() - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTDTNodeMealy
TTTDTNodeMealy(AbstractBaseDTNode<I, D>, D) - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTDTNodeMealy
TTTDTNodeMoore<I,D> - Class in de.learnlib.algorithm.ttt.moore: A MooreMachine-based specialization of the DT node.
TTTDTNodeMoore() - Constructor for class de.learnlib.algorithm.ttt.moore.TTTDTNodeMoore
TTTDTNodeMoore(AbstractBaseDTNode<I, D>, D) - Constructor for class de.learnlib.algorithm.ttt.moore.TTTDTNodeMoore
TTTEdge(TTTTransition<I, D>, TTTState<I, D>) - Constructor for class de.learnlib.algorithm.ttt.base.AbstractTTTHypothesis.TTTEdge
TTTHypothesisDFA - Class in de.learnlib.algorithm.ttt.dfa
TTTHypothesisDFA(Alphabet) - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTHypothesisDFA
TTTHypothesisMealy<I,O> - Class in de.learnlib.algorithm.ttt.mealy
TTTHypothesisMealy(Alphabet) - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTHypothesisMealy
TTTHypothesisMoore<I,O> - Class in de.learnlib.algorithm.ttt.moore: A MooreMachine-based specialization of the TTT hypothesis.
TTTHypothesisMoore(Alphabet) - Constructor for class de.learnlib.algorithm.ttt.moore.TTTHypothesisMoore: Constructor.
TTTLambdaDFA - Class in de.learnlib.algorithm.lambda.ttt.dfa
TTTLambdaDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
TTTLambdaDFA(Alphabet, MembershipOracle<I, Boolean>, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.lambda.ttt.dfa.TTTLambdaDFA
TTTLambdaMealy<I,O> - Class in de.learnlib.algorithm.lambda.ttt.mealy
TTTLambdaMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
TTTLambdaMealy(Alphabet, MembershipOracle<I, Word<O>>, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.lambda.ttt.mealy.TTTLambdaMealy
TTTLambdaState<I,D> - Class in de.learnlib.algorithm.lambda.ttt
TTTLambdaState(SuffixTrie, PrefixTree<I, D>, AbstractDecisionTree<I, D>, boolean) - Constructor for class de.learnlib.algorithm.lambda.ttt.TTTLambdaState
TTTLearnerDFA - Class in de.learnlib.algorithm.ttt.dfa: A DFA-based specialization of AbstractTTTLearner.
TTTLearnerDFA(Alphabet, MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
TTTLearnerDFA(Alphabet, MembershipOracle<I, Boolean>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
TTTLearnerDFA(Alphabet, MembershipOracle<I, Boolean>, AcexAnalyzer, Supplier<? extends AbstractBaseDTNode<I, Boolean>>) - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFA
TTTLearnerDFABuilder - Class in de.learnlib.algorithm.ttt.dfa: A builder for constructing TTTLearnerDFA instances.
TTTLearnerDFABuilder() - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Creates a new builder (and may set default values for some parameters).
TTTLearnerMealy<I,O> - Class in de.learnlib.algorithm.ttt.mealy: A MealyMachine-based specialization of AbstractTTTLearner.
TTTLearnerMealy(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
TTTLearnerMealy(Alphabet, MembershipOracle<I, Word<O>>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealy
TTTLearnerMealyBuilder<I,O> - Class in de.learnlib.algorithm.ttt.mealy: A builder for constructing TTTLearnerMealy instances.
TTTLearnerMealyBuilder() - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Creates a new builder (and may set default values for some parameters).
TTTLearnerMoore<I,O> - Class in de.learnlib.algorithm.ttt.moore: A MooreMachine-based specialization of AbstractTTTLearner.
TTTLearnerMoore(Alphabet, MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
TTTLearnerMoore(Alphabet, MembershipOracle<I, Word<O>>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.ttt.moore.TTTLearnerMoore
TTTLearnerMooreBuilder<I,O> - Class in de.learnlib.algorithm.ttt.moore: A builder for constructing TTTLearnerMoore instances.
TTTLearnerMooreBuilder() - Constructor for class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Creates a new builder (and may set default values for some parameters).
TTTLearnerState<I,D> - Class in de.learnlib.algorithm.ttt.base: Class that contains all data that represent the internal state of the AbstractTTTLearner learner and its DFA and Mealy implementations.
TTTLearnerVPA - Class in de.learnlib.algorithm.ttt.vpa: A SEVPA-based adoption of the "TTT" algorithm.
TTTLearnerVPA(VPAlphabet, MembershipOracle<I, Boolean>, AcexAnalyzer) - Constructor for class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPA
TTTLearnerVPABuilder - Class in de.learnlib.algorithm.ttt.vpa: A builder for constructing TTTLearnerVPA instances.
TTTLearnerVPABuilder() - Constructor for class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Creates a new builder (and may set default values for some parameters).
TTTState<I,D> - Class in de.learnlib.algorithm.ttt.base: A state in a AbstractTTTHypothesis.
TTTState(int, TTTTransition<I, D>, int) - Constructor for class de.learnlib.algorithm.ttt.base.TTTState
TTTStateDFA - Class in de.learnlib.algorithm.ttt.dfa
TTTStateDFA(int, TTTTransition<I, Boolean>, int) - Constructor for class de.learnlib.algorithm.ttt.dfa.TTTStateDFA
TTTStateMoore<I,O> - Class in de.learnlib.algorithm.ttt.moore: A MooreMachine-specific state of the TTTHypothesisMoore class.
TTTStateMoore(int, TTTTransition<I, Word<O>>, int) - Constructor for class de.learnlib.algorithm.ttt.moore.TTTStateMoore
TTTTransition<I,D> - Class in de.learnlib.algorithm.ttt.base: A transition in a AbstractTTTHypothesis.
TTTTransition(TTTState<I, D>, I) - Constructor for class de.learnlib.algorithm.ttt.base.TTTTransition
TTTTransitionMealy<I,O> - Class in de.learnlib.algorithm.ttt.mealy
TTTTransitionMealy(TTTState<I, Word<O>>, I) - Constructor for class de.learnlib.algorithm.ttt.mealy.TTTTransitionMealy
type - Variable in class de.learnlib.algorithm.ttt.vpa.Splitter

U

UniversalDeterministicLearnerITCase<I,D,M extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & Output<I,D>> - Class in de.learnlib.testsupport.it.testcase
UniversalDeterministicLearnerITCase(LearnerVariant<M, I, D>, LearningExample.UniversalDeterministicLearningExample<I, ? extends M>, LockableOracle<I, D>, EquivalenceOracle<? super M, I, D>) - Constructor for class de.learnlib.testsupport.it.testcase.UniversalDeterministicLearnerITCase
unlock() - Method in class de.learnlib.testsupport.it.util.LockableOracle: Unlocks this oracle.
Unobserved - Class in de.learnlib.driver.reflect: An artificial output symbol for a (non-executed) input after an exception has occurred.
updateDTTargets(List<AbstractHypTrans>, boolean) - Method in class de.learnlib.algorithm.observationpack.vpa.AbstractVPALearner
updateFrontierAndBasis() - Method in class de.learnlib.algorithm.lsharp.LSharpMealy
updateHypothesis() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner
updateIncoming() - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.DTNode
updateInternalHypothesis() - Method in class de.learnlib.algorithm.lstar.AbstractAutomatonLStar: Performs the L*-style hypothesis construction.
updateInternalHypothesis() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
updateOutputs() - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealy
updateStackAlphabetSize(int) - Method in class de.learnlib.algorithm.observationpack.vpa.hypothesis.HypLoc
updateTransitions() - Method in class de.learnlib.algorithm.observationpack.AbstractOPLearner

V

value - Variable in class de.learnlib.algorithm.lsharp.ads.ArenaNode
valueOf(String) - Static method in enum class de.learnlib.acex.AcexAnalyzers.Direction: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.algorithm.adt.adt.ADTNode.NodeType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.algorithm.lsharp.Rule2: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.algorithm.lsharp.Rule3: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.algorithm.ttt.vpa.Splitter.SplitType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.datastructure.pta.Color: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.datastructure.pta.config.DefaultProcessingOrders: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.filter.FilterResponse: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.filter.reuse.tree.BoundedDeque.AccessPolicy: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.filter.reuse.tree.BoundedDeque.EvictPolicy: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.oracle.ThreadPool.PoolPolicy: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.query.AdaptiveQuery.Response: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.setting.LearnLibProperty: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine.Input: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Input: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Output: Returns the enum constant of this class with the specified name.
values() - Static method in enum class de.learnlib.acex.AcexAnalyzers.Direction: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.algorithm.adt.adt.ADTNode.NodeType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.algorithm.lsharp.Rule2: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.algorithm.lsharp.Rule3: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in class de.learnlib.algorithm.lstar.ce.ObservationTableCEXHandlers
values() - Static method in class de.learnlib.algorithm.lstar.closing.ClosingStrategies
values() - Static method in enum class de.learnlib.algorithm.ttt.vpa.Splitter.SplitType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in class de.learnlib.counterexample.GlobalSuffixFinders
values() - Static method in class de.learnlib.counterexample.LocalSuffixFinders
values() - Method in class de.learnlib.datastructure.discriminationtree.model.BooleanMap
values() - Static method in enum class de.learnlib.datastructure.pta.Color: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.datastructure.pta.config.DefaultProcessingOrders: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.filter.FilterResponse: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.filter.reuse.tree.BoundedDeque.AccessPolicy: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.filter.reuse.tree.BoundedDeque.EvictPolicy: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.oracle.ThreadPool.PoolPolicy: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.query.AdaptiveQuery.Response: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.setting.LearnLibProperty: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine.Input: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Input: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class de.learnlib.testsupport.example.mealy.ExampleStack.Output: Returns an array containing the constants of this enum class, in the order they are declared.
VisualizationUtils - Class in de.learnlib.testsupport: Utility class for running a simple learning setup (cf.
VoidOutput - Class in de.learnlib.driver.reflect: The (empty) output of a void method call.

W

WATER - Enum constant in enum class de.learnlib.testsupport.example.mealy.ExampleCoffeeMachine.Input
WHITE - Enum constant in enum class de.learnlib.datastructure.pta.Color: Indicates a white state.
withAccessPolicy(BoundedDeque.AccessPolicy) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter accessPolicy and returns this builder instance.
withAccessPolicy(BoundedDeque.AccessPolicy) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter accessPolicy and returns this builder instance.
withAdtExtender(ADTExtender) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter adtExtender and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(Alphabet) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(VPAlphabet) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAlphabet(VPAlphabet) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Sets the new value for the parameter alphabet and returns this builder instance.
withAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter analyzer and returns this builder instance.
withAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Sets the new value for the parameter analyzer and returns this builder instance.
withAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Sets the new value for the parameter analyzer and returns this builder instance.
withAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Sets the new value for the parameter analyzer and returns this builder instance.
withAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Sets the new value for the parameter analyzer and returns this builder instance.
withAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Sets the new value for the parameter analyzer and returns this builder instance.
withBatchSize(int) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter batchSize and returns this builder instance.
withBatchSize(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter batchSize and returns this builder instance.
withBatchSize(int) - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder: Sets the size of batches that are submitted.
withCexHandler(ObservationTableCEXHandler<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter cexHandler and returns this builder instance.
withCexHandler(ObservationTableCEXHandler<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter cexHandler and returns this builder instance.
withCexHandler(ObservationTableCEXHandler<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter cexHandler and returns this builder instance.
withCexHandler(ObservationTableCEXHandler<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter cexHandler and returns this builder instance.
withCexHandler(ObservationTableCEXHandler<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter cexHandler and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super I, ? super O>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withClosingStrategy(ClosingStrategy<? super TimedInput, ? super Word<TimedOutput<O>>>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter closingStrategy and returns this builder instance.
withCombinationMethod(KWayStateCoverTestsIterator.CombinationMethod) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter combinationMethod and returns this builder instance.
withCounterexampleAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter counterexampleAnalyzer and returns this builder instance.
withCounterexampleAnalyzer(AcexAnalyzer) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter counterexampleAnalyzer and returns this builder instance.
withCustomExecutor(ExecutorService) - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder: Sets the executor service to use for submitting batches.
withCustomExecutor(ExecutorService) - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder: Sets the executor service to use for submitting batches.
withEnabledSystemStateInvalidation(boolean) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter enabledSystemStateInvalidation and returns this builder instance.
withEnabledSystemStateInvalidation(boolean) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter enabledSystemStateInvalidation and returns this builder instance.
withEpsilonRoot(boolean) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter epsilonRoot and returns this builder instance.
withEvictPolicy(BoundedDeque.EvictPolicy) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter evictPolicy and returns this builder instance.
withEvictPolicy(BoundedDeque.EvictPolicy) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter evictPolicy and returns this builder instance.
withFailureOutputs(Set<O>) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter failureOutputs and returns this builder instance.
withFailureOutputs(Set<O>) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter failureOutputs and returns this builder instance.
withGenerationMethod(KWayTransitionCoverTestsIterator.GenerationMethod) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter generationMethod and returns this builder instance.
withId(String) - Method in class de.learnlib.statistic.StatisticsKey: Returns a copy of this key with its id set to the provided value.
withInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter initialPrefixes and returns this builder instance.
withInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter initialPrefixes and returns this builder instance.
withInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter initialPrefixes and returns this builder instance.
withInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter initialPrefixes and returns this builder instance.
withInitialPrefixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter initialPrefixes and returns this builder instance.
withInitialSplitters(Collection<? extends Word>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter initialSplitters and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInitialSuffixes(List<Word<TimedInput>>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter initialSuffixes and returns this builder instance.
withInvariantInputs(Set) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter invariantInputs and returns this builder instance.
withInvariantInputs(Set) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter invariantInputs and returns this builder instance.
withK(int) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter k and returns this builder instance.
withK(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter k and returns this builder instance.
withLeafSplitter(LeafSplitter) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter leafSplitter and returns this builder instance.
withMaxNumberOfSteps(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter maxNumberOfSteps and returns this builder instance.
withMaxPathLen(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter maxPathLen and returns this builder instance.
withMaxSystemStates(int) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter maxSystemStates and returns this builder instance.
withMaxSystemStates(int) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter maxSystemStates and returns this builder instance.
withMinBatchSize(int) - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder: Sets the minimal size of batches that are submitted.
withModelParams(MMLTModelParams<O>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter modelParams and returns this builder instance.
withNumGeneratePaths(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter numGeneratePaths and returns this builder instance.
withNumInstances(int) - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder: Sets the number of instances that should process batches.
withOptimizationMetric(KWayTransitionCoverTestsIterator.OptimizationMetric) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter optimizationMetric and returns this builder instance.
withOracle(AdaptiveMembershipOracle<I, O>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(AdaptiveMembershipOracle<I, O>) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, D>) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, D>) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ClassicLStarDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.lstar.dfa.ExtensibleLStarDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.nlstar.NLStarLearnerBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.observationpack.vpa.OPLearnerVPABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.dfa.TTTLearnerDFABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Boolean>) - Method in class de.learnlib.algorithm.ttt.vpa.TTTLearnerVPABuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.lstar.mealy.ExtensibleLStarMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.lstar.moore.ExtensibleLStarMooreBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.malerpnueli.MalerPnueliMooreBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.rivestschapire.RivestSchapireMooreBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.mealy.TTTLearnerMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, Word<O>>) - Method in class de.learnlib.algorithm.ttt.moore.TTTLearnerMooreBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, O>) - Method in class de.learnlib.algorithm.lstar.mealy.ClassicLStarMealyBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracle(MembershipOracle<I, O>) - Method in class de.learnlib.algorithm.lstar.moore.ClassicLStarMooreBuilder: Sets the new value for the parameter oracle and returns this builder instance.
withOracleSupplier(Supplier<? extends ReuseCapableOracle<S, I, O>>) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter oracleSupplier and returns this builder instance.
withPoolPolicy(ThreadPool.PoolPolicy) - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder: Sets the pool policy in case the builder creates its own executor for processing batches.
withPoolPolicy(ThreadPool.PoolPolicy) - Method in class de.learnlib.oracle.parallelism.AbstractStaticBatchProcessorBuilder: Sets the pool policy in case the builder creates its own executor for processing batches.
withPoolSize(int) - Method in class de.learnlib.oracle.parallelism.AbstractDynamicBatchProcessorBuilder: Sets the number of instances that should process batches.
withRandom(Random) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter random and returns this builder instance.
withRandom(Random) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter random and returns this builder instance.
withRandom(Random) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter random and returns this builder instance.
withRandomWalkLen(int) - Method in class de.learnlib.oracle.equivalence.KWayStateCoverEQOracleBuilder: Sets the new value for the parameter randomWalkLen and returns this builder instance.
withRandomWalkLen(int) - Method in class de.learnlib.oracle.equivalence.KWayTransitionCoverEQOracleBuilder: Sets the new value for the parameter randomWalkLen and returns this builder instance.
withRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.kv.dfa.KearnsVaziraniDFABuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation and returns this builder instance.
withRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.kv.mealy.KearnsVaziraniMealyBuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation and returns this builder instance.
withRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation and returns this builder instance.
withRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation and returns this builder instance.
withRepeatedCounterexampleEvaluation(boolean) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter repeatedCounterexampleEvaluation and returns this builder instance.
withRule2(Rule2) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter rule2 and returns this builder instance.
withRule3(Rule3) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter rule3 and returns this builder instance.
withSinkOutput(O) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter sinkOutput and returns this builder instance.
withSinkState(Word) - Method in class de.learnlib.algorithm.lsharp.LSharpMealyBuilder: Sets the new value for the parameter sinkState and returns this builder instance.
withSubtreeReplacer(SubtreeReplacer) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter subtreeReplacer and returns this builder instance.
withSuffixFinder(GlobalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.dhc.mealy.MealyDHCBuilder: Sets the new value for the parameter suffixFinder and returns this builder instance.
withSuffixFinder(LocalSuffixFinder<? super I, ? super Boolean>) - Method in class de.learnlib.algorithm.observationpack.dfa.OPLearnerDFABuilder: Sets the new value for the parameter suffixFinder and returns this builder instance.
withSuffixFinder(LocalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter suffixFinder and returns this builder instance.
withSuffixFinder(LocalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.observationpack.mealy.OPLearnerMealyBuilder: Sets the new value for the parameter suffixFinder and returns this builder instance.
withSuffixFinder(LocalSuffixFinder<? super I, ? super Word<O>>) - Method in class de.learnlib.algorithm.observationpack.moore.OPLearnerMooreBuilder: Sets the new value for the parameter suffixFinder and returns this builder instance.
withSymbolFilter(RefutableSymbolFilter<TimedInput, InputSymbol>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter symbolFilter and returns this builder instance.
withSystemStateHandler(SystemStateHandler<S>) - Method in class de.learnlib.filter.reuse.ReuseOracleBuilder: Sets the new value for the parameter systemStateHandler and returns this builder instance.
withSystemStateHandler(SystemStateHandler<S>) - Method in class de.learnlib.filter.reuse.tree.ReuseTreeBuilder: Sets the new value for the parameter systemStateHandler and returns this builder instance.
withTimeOracle(TimedQueryOracle<I, O>) - Method in class de.learnlib.algorithm.lstar.mmlt.ExtensibleLStarMMLTBuilder: Sets the new value for the parameter timeOracle and returns this builder instance.
withUseObservationTree(boolean) - Method in class de.learnlib.algorithm.adt.learner.ADTLearnerBuilder: Sets the new value for the parameter useObservationTree and returns this builder instance.
wm() - Static method in class de.learnlib.testsupport.example.mmlt.MMLTExamples: Returns an MMLT example of a washing machine.
WMethodEQOracle - Class in de.learnlib.oracle.equivalence.sba: An SBA version of WMethodEQOracle which generates test sequences based on the W-method for each procedure.
WMethodEQOracle - Class in de.learnlib.oracle.equivalence.spa: An SPA version of WMethodEQOracle which generates test sequences based on the W-method for each procedure.
WMethodEQOracle<I,O> - Class in de.learnlib.oracle.equivalence.spmm: Implements an equivalence test by applying the W-method test on the procedures of the given hypothesis SBA, as described in "Testing software design modeled by finite state machines" by T.S.
WMethodEQOracle<A extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & 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, as described in Testing Software Design Modeled by Finite-State Machines by T. S. Chow.
WMethodEQOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, D>, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, D>, int, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, D>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.oracle.equivalence.sba.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.oracle.equivalence.spa.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>, int) - Constructor for class de.learnlib.oracle.equivalence.sba.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>, int) - Constructor for class de.learnlib.oracle.equivalence.spa.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.sba.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.spa.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.sba.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.spa.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Word<O>>) - Constructor for class de.learnlib.oracle.equivalence.spmm.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Word<O>>, int) - Constructor for class de.learnlib.oracle.equivalence.spmm.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Word<O>>, int, int) - Constructor for class de.learnlib.oracle.equivalence.spmm.WMethodEQOracle: Constructor.
WMethodEQOracle(MembershipOracle<I, Word<O>>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.spmm.WMethodEQOracle: Constructor.
word() - Method in interface de.learnlib.algorithm.lambda.ttt.pt.PTNode
word() - Method in class de.learnlib.algorithm.lambda.ttt.pt.PTNodeImpl
word() - Method in interface de.learnlib.algorithm.lambda.ttt.st.STNode
WordAdaptiveQuery<I,O> - Class in de.learnlib.util.mealy: Wraps a given (non-empty) Word as an AdaptiveQuery so that it can be answered by an AdaptiveMembershipOracle.
WordAdaptiveQuery(Word) - Constructor for class de.learnlib.util.mealy.WordAdaptiveQuery
wordToString(Word<? extends I>) - Method in class de.learnlib.datastructure.observationtable.writer.AbstractObservationTableWriter
WpMethodEQOracle - Class in de.learnlib.oracle.equivalence.spa: An SPA version of WpMethodEQOracle which generates test sequences based on the partial W-method for each procedure.
WpMethodEQOracle<A extends UniversalDeterministicAutomaton.RegularAutomaton<?,I,?,?,?> & 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. Fujiwara et al.
WpMethodEQOracle(MembershipOracle<I, D>) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, D>, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, D>, int, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, D>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, Boolean>) - Constructor for class de.learnlib.oracle.equivalence.spa.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, Boolean>, int) - Constructor for class de.learnlib.oracle.equivalence.spa.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, Boolean>, int, int) - Constructor for class de.learnlib.oracle.equivalence.spa.WpMethodEQOracle: Constructor.
WpMethodEQOracle(MembershipOracle<I, Boolean>, int, int, int) - Constructor for class de.learnlib.oracle.equivalence.spa.WpMethodEQOracle: Constructor.
wrapSymbolLearner(LearningAlgorithm<M, I, O>) - Static method in class de.learnlib.util.mealy.MealyUtil
wrapSymbolLearner(LearningAlgorithm<M, I, O>) - Static method in class de.learnlib.util.moore.MooreUtil
wrapWordOracle(MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.util.mealy.MealyUtil
wrapWordOracle(MembershipOracle<I, Word<O>>) - Static method in class de.learnlib.util.moore.MooreUtil
write(ObservationTable<? extends I, ? extends D>, File) - Method in interface de.learnlib.datastructure.observationtable.writer.ObservationTableWriter
write(ObservationTable<? extends I, ? extends D>, PrintStream) - Method in interface de.learnlib.datastructure.observationtable.writer.ObservationTableWriter
write(ObservationTable<? extends I, ? extends D>, Appendable) - Method in class de.learnlib.datastructure.observationtable.writer.ObservationTableASCIIWriter
write(ObservationTable<? extends I, ? extends D>, Appendable) - Method in class de.learnlib.datastructure.observationtable.writer.ObservationTableHTMLWriter
write(ObservationTable<? extends I, ? extends D>, Appendable) - Method in interface de.learnlib.datastructure.observationtable.writer.ObservationTableWriter
write(ObservationTable<? extends I, ? extends D>, Appendable) - Method in class de.learnlib.datastructure.observationtable.writer.SuffixASCIIWriter
write(ObservationTable<? extends I, ? extends D>, StringBuilder) - Method in interface de.learnlib.datastructure.observationtable.writer.ObservationTableWriter
writeHTMLToFile(ObservationTable<I, D>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils: Convenience method for OTUtils.writeHTMLToFile(ObservationTable, File) that automatically creates (and returns) a temporary file to write to.
writeHTMLToFile(ObservationTable<I, D>, File) - Static method in class de.learnlib.datastructure.observationtable.OTUtils: Convenience method for OTUtils.writeHTMLToFile(ObservationTable, File, Function, Function) that uses Object.toString() to render words and outputs of the observation table.
writeHTMLToFile(ObservationTable<I, D>, File, Function<? super Word<? extends I>, ? extends String>, Function<? super D, ? extends String>) - Static method in class de.learnlib.datastructure.observationtable.OTUtils: Writes the contents of a given observation table into a file using HTML as a (markup) language and the given functions to display inputs and outputs.
wsn() - Static method in class de.learnlib.testsupport.example.mmlt.MMLTExamples: Returns an MMLT example of a wireless sensor node.

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