@Test
public void backwards() {
FastQueue<TupleDesc_F64> a = createData(1, 2, 3, 8);
FastQueue<TupleDesc_F64> b = createData(3, 4, 1, 10);
AssociateGreedy<TupleDesc_F64> alg = new AssociateGreedy<TupleDesc_F64>(score, true);
alg.setMaxFitError(10);
alg.associate(a, b);
int pairs[] = alg.getPairs();
assertEquals(2, pairs[0]);
assertEquals(-1, pairs[1]);
assertEquals(0, pairs[2]);
assertEquals(3, pairs[3]);
double fitScore[] = alg.getFitQuality();
assertEquals(0, fitScore[0], 1e-5);
assertEquals(0, fitScore[2], 1e-5);
assertEquals(2, fitScore[3], 1e-5);
}
@Test
public void maxError() {
FastQueue<TupleDesc_F64> a = createData(1, 2, 3, 4);
FastQueue<TupleDesc_F64> b = createData(3, 4, 1.1, 40);
// large margin for error
AssociateGreedy<TupleDesc_F64> alg = new AssociateGreedy<TupleDesc_F64>(score, false);
alg.setMaxFitError(10);
alg.associate(a, b);
assertEquals(2, alg.getPairs()[1]);
// small margin for error, no association
alg = new AssociateGreedy<TupleDesc_F64>(score, false);
alg.setMaxFitError(0.1);
alg.associate(a, b);
assertEquals(-1, alg.getPairs()[1]);
}
