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This artifact 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" (https://dx.doi.org/10.1142/9789812797902_0004) by Jose Oncina and Pedro García. More details on the blue-fringe version of this algorithm can be found in the book "Grammatical Inference" (https://doi.org/10.1017/CBO9781139194655) by Colin de la Higuera.

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/* Copyright (C) 2013-2018 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.algorithms.rpni;

import java.util.ArrayList;
import java.util.Collection;
import java.util.List;

import de.learnlib.api.algorithm.PassiveLearningAlgorithm;
import de.learnlib.api.query.DefaultQuery;
import de.learnlib.datastructure.pta.pta.BlueFringePTA;
import net.automatalib.automata.fsa.DFA;
import net.automatalib.automata.fsa.impl.compact.CompactDFA;
import net.automatalib.words.Alphabet;

/**
 * A Blue Fringe version of RPNI for learning DFAs.
 *
 * @param 
 *         input symbol type
 *
 * @author Malte Isberner
 */
public class BlueFringeRPNIDFA extends AbstractBlueFringeRPNI>
        implements PassiveLearningAlgorithm.PassiveDFALearner {

    protected final List positive = new ArrayList<>();
    protected final List negative = new ArrayList<>();

    /**
     * Constructor.
     *
     * @param alphabet
     *         the alphabet
     */
    public BlueFringeRPNIDFA(Alphabet alphabet) {
        super(alphabet);
    }

    @Override
    public void addSamples(Collection> samples) {
        for (DefaultQuery query : samples) {
            int[] arr = query.getInput().toIntArray(alphabet);
            if (query.getOutput()) {
                positive.add(arr);
            } else {
                negative.add(arr);
            }
        }
    }

    @Override
    protected void initializePTA(BlueFringePTA pta) {
        for (int[] sample : positive) {
            pta.addSample(sample, true);
        }
        for (int[] sample : negative) {
            pta.addSample(sample, false);
        }
    }

    @Override
    protected CompactDFA ptaToModel(BlueFringePTA pta) {
        CompactDFA dfa = new CompactDFA<>(alphabet, pta.getNumRedStates());
        pta.toAutomaton(dfa, alphabet, b -> b, x -> x);

        return dfa;
    }

}