Package de.learnlib.util.nfa
Class NFALearnerWrapper<I>
- java.lang.Object
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- de.learnlib.util.nfa.NFALearnerWrapper<I>
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- All Implemented Interfaces:
LearningAlgorithm<DFA<?,I>,I,Boolean>
,LearningAlgorithm.DFALearner<I>
public class NFALearnerWrapper<I> extends Object implements LearningAlgorithm.DFALearner<I>
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Nested Class Summary
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Nested classes/interfaces inherited from interface de.learnlib.algorithm.LearningAlgorithm
LearningAlgorithm.DFALearner<I>, LearningAlgorithm.MealyLearner<I,O>, LearningAlgorithm.MooreLearner<I,O>, LearningAlgorithm.NFALearner<I>
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Constructor Summary
Constructors Constructor Description NFALearnerWrapper(Alphabet<I> alphabet, LearningAlgorithm<? extends NFA<?,I>,I,Boolean> nfaLearner)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description CompactDFA<I>
getHypothesisModel()
Returns the current hypothesis model.boolean
refineHypothesis(DefaultQuery<I,Boolean> ceQuery)
Triggers a refinement of the model by providing a counterexample.void
startLearning()
Starts the model inference process, creating an initial hypothesis in the provided model object.String
toString()
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Method Detail
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startLearning
public void startLearning()
Description copied from interface:LearningAlgorithm
Starts the model inference process, creating an initial hypothesis in the provided model object. Please note that it should be illegal to invoke this method twice.- Specified by:
startLearning
in interfaceLearningAlgorithm<DFA<?,I>,I,Boolean>
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refineHypothesis
public boolean refineHypothesis(DefaultQuery<I,Boolean> ceQuery)
Description copied from interface:LearningAlgorithm
Triggers a refinement of the model by providing a counterexample. A counterexample is a query which exposes different behavior of the real SUL compared to the hypothesis. Please note that invoking this method before an initial invocation ofLearningAlgorithm.startLearning()
should be illegal.- Specified by:
refineHypothesis
in interfaceLearningAlgorithm<DFA<?,I>,I,Boolean>
- Parameters:
ceQuery
- the query which exposes diverging behavior, as posed to the real SUL (i.e. with the SULs output).- Returns:
true
if the counterexample triggered a refinement of the hypothesis,false
otherwise (i.e., it was no counterexample).
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getHypothesisModel
public CompactDFA<I> getHypothesisModel()
Description copied from interface:LearningAlgorithm
Returns the current hypothesis model.N.B.: By the contract of this interface, the model returned by this method may not be modified (i.e., M generally should refer to an immutable interface), and its validity is retained only until the next invocation of
LearningAlgorithm.refineHypothesis(DefaultQuery)
. If older hypotheses have to be maintained, a copy of the returned model must be made.Please note that it should be illegal to invoke this method before an initial invocation of
LearningAlgorithm.startLearning()
.- Specified by:
getHypothesisModel
in interfaceLearningAlgorithm<DFA<?,I>,I,Boolean>
- Returns:
- the current hypothesis model.
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