com.aliasi.test.unit.matrix.TaxicabDistanceTest Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of aliasi-lingpipe Show documentation
Show all versions of aliasi-lingpipe Show documentation
This is the original Lingpipe:
http://alias-i.com/lingpipe/web/download.html
There were not made any changes to the source code.
package com.aliasi.test.unit.matrix;
import com.aliasi.util.AbstractExternalizable;
import com.aliasi.matrix.DenseVector;
import com.aliasi.matrix.SparseFloatVector;
import com.aliasi.matrix.Vector;
import com.aliasi.matrix.TaxicabDistance;
import org.junit.Test;
import static junit.framework.Assert.assertEquals;
import static junit.framework.Assert.fail;
import static com.aliasi.test.unit.Asserts.succeed;
import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
public class TaxicabDistanceTest {
@Test
public void testOne() throws IOException, ClassNotFoundException {
Vector v1 = new DenseVector(new double[] { 1, 2 });
Vector v2 = new DenseVector(new double[] { 3, 1 });
Map map1 = new HashMap();
map1.put(0,1.0);
map1.put(1,2.0);
Map map2 = new HashMap();
map2.put(0,3.0);
map2.put(1,1.0);
SparseFloatVector sv1 = new SparseFloatVector(map1);
SparseFloatVector sv2 = new SparseFloatVector(map2);
assertEquals(3.0,
TaxicabDistance.DISTANCE.distance(v1,v2),
0.0001);
assertEquals(3.0,
TaxicabDistance.DISTANCE.distance(sv1,sv2),
0.0001);
assertEquals(3.0,
TaxicabDistance.DISTANCE.distance(v1,sv2),
0.0001);
assertEquals(3.0,
TaxicabDistance.DISTANCE.distance(sv1,v2),
0.0001);
TaxicabDistance d2
= (TaxicabDistance)
AbstractExternalizable
.serializeDeserialize(TaxicabDistance.DISTANCE);
assertEquals(3.0,
d2.distance(v1,v2),
0.0001);
assertEquals(3.0,
d2.distance(v1,sv2),
0.0001);
assertEquals(3.0,
d2.distance(sv1,v2),
0.0001);
assertEquals(3.0,
d2.distance(sv1,sv2),
0.0001);
Map map3 = new HashMap();
map3.put(1,-1.0);
SparseFloatVector vA = new SparseFloatVector(map3,5);
Map map4 = new HashMap();
map4.put(2,1.0);
SparseFloatVector vB = new SparseFloatVector(map4,5);
assertEquals(2.0,
d2.distance(vA,vB),
0.0001);
assertEquals(2.0,
d2.distance(vB,vA),
0.0001);
Vector vC = new DenseVector(new double[] { 0, 1, 0, 0, 0 });
Vector vD = new DenseVector(new double[] { 0, 0, 1, 0, 0 });
assertEquals(2.0,
d2.distance(vA,vD),
0.0001);
assertEquals(2.0,
d2.distance(vD,vA),
0.0001);
assertEquals(2.0,
d2.distance(vC,vB),
0.0001);
assertEquals(2.0,
d2.distance(vB,vC),
0.0001);
}
@Test
public void testExs() {
Vector v1 = new DenseVector(new double[] { 0.0, 1.0 });
Vector v2 = new DenseVector(new double[] { 2.0 });
try {
TaxicabDistance.DISTANCE.distance(v1,v2);
fail();
} catch (IllegalArgumentException e) {
succeed();
}
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy