/* RISO: an implementation of distributed belief networks. * Copyright (C) 1999-2001, Robert Dodier. * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * 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., 59 Temple Place, Suite 330, Boston, MA, 02111-1307, USA, * or visit the GNU web site, www.gnu.org. */ package riso.general; import java.io.*; import java.util.*; public class MatchClassPattern { // This one remains as an example. static SeqTriple[] sm3 = { new SeqTriple( "riso.distributions.AbstractConditionalDistribution", 1 ), new SeqTriple( "riso.distributions.Gamma", -1 ), new SeqTriple( "riso.distributions.Gaussian", 4 ), new SeqTriple( "riso.distributions.GaussianDelta", 4 ) }; public static void main( String[] args ) { try { Vector sm = new Vector(); SmarterTokenizer st = new SmarterTokenizer( new InputStreamReader( new FileInputStream( args[0] ) ) ); st.nextToken(); while ( st.ttype != StreamTokenizer.TT_EOF ) { String s = st.sval; st.nextToken(); int n = Integer.parseInt( st.sval ); sm.addElement( new SeqTriple(s,n) ); st.nextToken(); } SeqTriple[] sm0 = new SeqTriple[ sm.size() ]; sm.copyInto(sm0); for ( int i = 0; i < sm0.length; i++ ) System.err.println( sm0[i] ); Vector seq = new Vector(); st = new SmarterTokenizer( new InputStreamReader( System.in ) ); st.nextToken(); while ( st.ttype != StreamTokenizer.TT_EOF ) { Class c = Class.forName( st.sval ); System.err.println( "add: "+c.getName() ); seq.addElement(c); st.nextToken(); } int[] class_specific_score = new int[1], count_specific_score = new int[1]; boolean does_match = matches(sm0,seq,class_specific_score,count_specific_score); System.err.println( "matches sm0: "+does_match+(does_match?(", class score: "+class_specific_score[0]+", count score: "+count_specific_score[0]):"") ); } catch (Exception e) { System.err.println( "e: "+e ); } } public static boolean matches( SeqTriple[] sm, Vector seq, int[] class_specific_score, int[] count_specific_score ) { int ii = 0, n = 0; class_specific_score[0] = 0; count_specific_score[0] = 0; for ( Enumeration e = seq.elements(); e.hasMoreElements(); ) { Class seqc = (Class) e.nextElement(); if ( ! sm[ii].c.isAssignableFrom(seqc) ) if ( sm[ii].reps == -1 ) { n = 0; if ( ++ii == sm.length ) { // System.err.println( "reached end of pattern w/ seqc "+seqc.getName() ); return false; } } else { // System.err.println( seqc.getName()+" not instance of "+sm[ii].c.getName()+"; found "+n+" before failing" ); return false; } // System.err.println( "add "+sm[ii].level+" to class-specific score; from "+sm[ii].c.getName() ); class_specific_score[0] += sm[ii].level; if ( sm[ii].c.isAssignableFrom(seqc) ) { if ( ++n == sm[ii].reps ) { // System.err.println( "reached end of "+sm[ii].reps+" "+sm[ii].c.getName() ); n = 0; if ( ++ii == sm.length && e.hasMoreElements() ) { // System.err.println( "reached end of pattern w/ seqc "+seqc.getName() ); return false; } ++count_specific_score[0]; } } else { // System.err.println( seqc.getName()+" not instance of "+sm[ii].c.getName()+"; found "+n+" before failing" ); return false; } } // System.err.println( "fell out at bottom, ii: "+ii+", n: "+n ); if ( ii == sm.length && n == sm[ii-1].reps ) ++count_specific_score[0]; if ( ii < sm.length-1 ) { // System.err.println( "didn't reach end of pattern; ii: "+ii+", sm.length: "+sm.length ); return false; } if ( ii < sm.length && n != sm[ii].reps && sm[ii].reps != -1 ) { // System.err.println( "reached end of pattern w/ n "+n+" (should be "+sm[ii].reps+")" ); return false; } return true; } }