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/* Copyright (C) 2013-2014 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.mealy;

import javax.annotation.Nonnull;
import javax.annotation.ParametersAreNonnullByDefault;

import net.automatalib.automata.transout.MealyMachine;
import net.automatalib.words.Word;
import de.learnlib.api.LearningAlgorithm;
import de.learnlib.oracles.DefaultQuery;

@ParametersAreNonnullByDefault
final class MealyLearnerWrapper, I, O> implements LearningAlgorithm.MealyLearner {
	
	private final LearningAlgorithm learner;
	
	private M hypothesis = null;
	
	public MealyLearnerWrapper(LearningAlgorithm learner) {
		this.learner = learner;
	}

	@Override
	public void startLearning() {
		learner.startLearning();
	}

	@Override
	public boolean refineHypothesis(DefaultQuery> ceQuery) {
		if(hypothesis == null)
			hypothesis = learner.getHypothesisModel();
		
		DefaultQuery reducedQry = MealyUtil.reduceCounterExample(hypothesis, ceQuery);
		
		if(reducedQry == null)
			return false;
		
		hypothesis = null;
		return learner.refineHypothesis(reducedQry);
	}

	@Override
	@Nonnull
	public M getHypothesisModel() {
		hypothesis = learner.getHypothesisModel();
		return hypothesis;
	}

}