/** * This program (working title: MAS Prover) is an automated tableaux prover * for epistemic logic (S5n). * Copyright (C) 2007 Elske van der Vaart and Gert van Valkenhoef * This program is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 as published * by the Free Software Foundation. * This program 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 General Public License for more details. * You should have received a copy of the GNU General Public License along * with this program; if not, write to the Free Software Foundation, Inc., * 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. */ package nl.rug.ai.mas.oops.rndcnf; import java.util.List; import java.util.ArrayList; import java.util.Random; public class PropRateDist { private List<List<DiscreteDist>> d_dist; public PropRateDist(String dist) { this(ListParser.parseList3(dist)); } public PropRateDist(List<List<List<Integer>>> dist) { d_dist = new ArrayList<List<DiscreteDist>>(); for (List<List<Integer>> l : dist) { List<DiscreteDist> d = new ArrayList<DiscreteDist>(); for (List<Integer> l1 : l) { d.add(new DiscreteDist(l1)); } d_dist.add(d); } } /** * @param rnd Random number generator * @param d Depth * @param k Clause length */ public int rndPropNum(Random rnd, int d, int k) { List<DiscreteDist> dist = d_dist.get(Math.min(d, d_dist.size() - 1)); DiscreteDist ddist = dist.get(k - 1); // assume it exists return ddist.generate(rnd); } }