📄 testcut8.java
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/*
* Copyright (C) 1999-2004 <A href="http://www-ist.massey.ac.nz/JBDietrich" target="_top">Jens Dietrich</a>
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library 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 this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
package test.org.mandarax.reference;
import org.mandarax.kernel.Fact;
import org.mandarax.kernel.InferenceEngine;
import org.mandarax.kernel.InferenceException;
import org.mandarax.kernel.Query;
import org.mandarax.kernel.ResultSet;
import org.mandarax.kernel.Rule;
import org.mandarax.kernel.SimplePredicate;
/**
* Test case for cut. kb contributed by
* Alex Kozlenkov (A.Kozlenkov@city.ac.uk)
* d(x,y) :- a(x,y)
* d(u1,y) :- a(u1,y)
* a(x,z) :- b(y),!,c(y,z)
* a(x,y) :- b(x)
* b(u1)
* b(u2)
* c(u1,u2)
* c(u1,u3)
* c(u2,u1).
* The expected result is {(x,u2),(x,u3),(u1,y)}.
* @author <A href="http://www-ist.massey.ac.nz/JBDietrich" target="_top">Jens Dietrich</A>
* @version 3.4 <7 March 05>
* @since 2.1
*/
public class TestCut8 extends TestCut {
/**
* @see test.org.mandarax.reference.cut.TestCut#feedKnowledgeBase(KnowledgeBase)
*/
public void feedKnowledgeBase(org.mandarax.kernel.KnowledgeBase knowledge) {
Rule rule = lfs.rule(
lfs.prereq(a(),new String("x"),lfs.variable("y",String.class)),
lfs.fact(d(),new String("x"),lfs.variable("y",String.class))
);
kb.add(rule);
rule = lfs.rule(
lfs.prereq(a(),new String("u1"),lfs.variable("y",String.class)),
lfs.fact(d(),new String("u1"),lfs.variable("y",String.class))
);
kb.add(rule);
rule = lfs.rule(
lfs.prereq(b(),lfs.variable("y",String.class)),cut(),
lfs.prereq(c(),lfs.variable("y",String.class),lfs.variable("z",String.class)),
lfs.fact(a(),new String("x"),lfs.variable("z",String.class))
);
kb.add(rule);
rule = lfs.rule(
lfs.prereq(b(),lfs.variable("x",String.class)),
lfs.fact(a(),lfs.variable("x",String.class),new String("y"))
);
kb.add(rule);
kb.add(lfs.fact(b(),new String("u1")));
kb.add(lfs.fact(b(),new String("u2")));
kb.add(lfs.fact(c(),new String("u1"),new String("u2")));
kb.add(lfs.fact(c(),new String("u1"),new String("u3")));
kb.add(lfs.fact(c(),new String("u2"),new String("u1")));
}
/**
* Get the expected results.
* @return an array of expected results.
*/
protected String[] getExpectedResults() {
return new String[]{"b"};
}
/**
* Convert the object to a string.
* @return a string
*/
public String toString() {
return "Test case for cut 8";
}
/**
* Build a predicate.
* @return a predicate.
*/
private static SimplePredicate a() {
Class[] struct = { String.class, String.class };
SimplePredicate p = new SimplePredicate ("a", struct);
return p;
}
/**
* Build a predicate.
* @return a predicate.
*/
private static SimplePredicate b() {
Class[] struct = { String.class };
SimplePredicate p = new SimplePredicate ("b", struct);
return p;
}
/**
* Build a predicate.
* @return a predicate.
*/
private static SimplePredicate c() {
Class[] struct = { String.class, String.class };
SimplePredicate p = new SimplePredicate ("c", struct);
return p;
}
/**
* Build a predicate.
* @return a predicate.
*/
private static SimplePredicate d() {
Class[] struct = { String.class, String.class };
SimplePredicate p = new SimplePredicate ("d", struct);
return p;
}
/**
* Run the test.
*/
public void testInferenceEngine() {
LOG_TEST.info ("Start Testcase " + getClass ().getName () + " , test method: " + "testInferenceEngine()");
Fact queryfact = lfs.fact(d(),lfs.variable("X",String.class),lfs.variable("Y",String.class));
Query query = lfs.query(queryfact,"enumerate state predicates");
try {
ResultSet rs = ie.query(query,kb,InferenceEngine.ALL,InferenceEngine.BUBBLE_EXCEPTIONS);
while( rs.next() ) {
System.out.println(rs.getResult(String.class,"X")+" "+rs.getResult(String.class,"Y"));
}
rs.close();
}
catch (InferenceException exc) {
exc.printStackTrace(System.out);
}
}
}
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