/**
* 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);
}
}