de.learnlib.algorithms.adt.config.ADTExtenders Maven / Gradle / Ivy
/* 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.adt.config;
import de.learnlib.algorithms.adt.adt.ADTNode;
import de.learnlib.algorithms.adt.api.ADTExtender;
import de.learnlib.algorithms.adt.api.PartialTransitionAnalyzer;
import de.learnlib.algorithms.adt.automaton.ADTHypothesis;
import de.learnlib.algorithms.adt.automaton.ADTState;
import de.learnlib.algorithms.adt.config.model.calculator.BestEffortDefensiveCalculator;
import de.learnlib.algorithms.adt.config.model.extender.DefaultExtender;
import de.learnlib.algorithms.adt.model.ExtensionResult;
/**
* A collection of default {@link ADTExtender} configurations.
*
* @author frohme
*/
public final class ADTExtenders {
public static final ADTExtender NOP = new ADTExtender() {
@Override
public ExtensionResult, I, O> computeExtension(final ADTHypothesis hypothesis,
final PartialTransitionAnalyzer, I> partialTransitionAnalyzer,
final ADTNode, I, O> ads) {
return ExtensionResult.empty();
}
};
public static final ADTExtender EXTEND_BEST_EFFORT = new DefaultExtender(new BestEffortDefensiveCalculator());
private ADTExtenders() {
// prevent instantiation
}
}