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A flexible, optimized version of Dana Angluin's L* algorithm

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/* Copyright (C) 2013 TU Dortmund
 * This file is part of LearnLib, http://www.learnlib.de/.
 * 
 * LearnLib is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License version 3.0 as published by the Free Software Foundation.
 * 
 * LearnLib is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 * 
 * You should have received a copy of the GNU Lesser General Public
 * License along with LearnLib; if not, see
 * .
 */
package de.learnlib.algorithms.lstargeneric.closing;

import java.util.ArrayList;
import java.util.List;
import java.util.Random;

import de.learnlib.algorithms.lstargeneric.table.ObservationTable;
import de.learnlib.algorithms.lstargeneric.table.Row;
import de.learnlib.api.MembershipOracle;

public class CloseRandomStrategy implements ClosingStrategy {
	
	private final Random random;
	
	public CloseRandomStrategy() {
		this(new Random());
	}
	
	public CloseRandomStrategy(Random random) {
		this.random = random;
	}

	@Override
	public 
	List> selectClosingRows(List>> unclosedClasses,
			ObservationTable table, MembershipOracle oracle) {
		List> result = new ArrayList<>(unclosedClasses.size());
		
		for(List> clazz : unclosedClasses) {
			int card = clazz.size();
			result.add(clazz.get(random.nextInt(card)));
		}
		
		return result;
	}
	
}