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/* Copyright (C) 2015 TU Dortmund
* This file is part of LearnLib, http://www.learnlib.de/.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package de.learnlib.nfa;
import javax.annotation.Nonnull;
import javax.annotation.ParametersAreNonnullByDefault;
import net.automatalib.automata.fsa.NFA;
import net.automatalib.automata.fsa.impl.compact.CompactDFA;
import net.automatalib.util.automata.fsa.NFAs;
import net.automatalib.words.Alphabet;
import de.learnlib.api.LearningAlgorithm;
import de.learnlib.oracles.DefaultQuery;
@ParametersAreNonnullByDefault
public class NFALearnerWrapper implements LearningAlgorithm.DFALearner {
@Nonnull
private final Alphabet alphabet;
@Nonnull
private final LearningAlgorithm,I,Boolean> nfaLearner;
public NFALearnerWrapper(Alphabet alphabet, LearningAlgorithm,I,Boolean> nfaLearner) {
this.alphabet = alphabet;
this.nfaLearner = nfaLearner;
}
@Override
public void startLearning() {
nfaLearner.startLearning();
}
@Override
public boolean refineHypothesis(DefaultQuery ceQuery) {
return nfaLearner.refineHypothesis(ceQuery);
}
@Override
public CompactDFA getHypothesisModel() {
NFA nfaHyp = nfaLearner.getHypothesisModel();
CompactDFA dfaHyp = NFAs.determinize(nfaHyp, alphabet);
return dfaHyp;
}
@Override
public String toString() {
return nfaLearner.toString();
}
}