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This artifact provides the implementation of the AAAR learning algorithm as described in the paper "Automata Learning with Automated Alphabet Abstraction Refinement" (https://dx.doi.org/10.1007/978-3-642-18275-4_19) by Falk Howar, Bernhard Steffen, and Maik Merten.

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/* Copyright (C) 2013-2023 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.algorithm.aaar.abstraction;

import java.util.function.Function;

import de.learnlib.oracle.MembershipOracle;

public class ExplicitAbstractionTree extends AbstractAbstractionTree {

    private final AI rootA;
    private final Function incrementor;

    public ExplicitAbstractionTree(AI rootA, CI rootC, MembershipOracle o, Function incrementor) {
        super(rootA, rootC, o);

        this.rootA = rootA;
        this.incrementor = incrementor;
    }

    @Override
    protected AI createAbstractionForRepresentative(CI ci) {
        return this.incrementor.apply(this.rootA);
    }
}