public List<PhenoType> parse(Population<S> p, FitnessMap<S> fitnessMap) {
List<PhenoType> list = new LinkedList<PhenoType>();
for (Entry<Double, List<S>> e : fitnessMap.entrySet()) {
list.addAll(e.getValue());
}
Collections.reverse(list);
return list;
}
/** Test of createRangeMap method, of class FitnessProportionateMechanism. */
public void testCreateRangeMap() {
System.out.println("createRangeMap");
Population<PhenoType> population =
TestUtils.createPopulation(
new String[] {
"11111111", "11111111",
"11111111", "11111111",
"11111111", "11111111",
"11111111", "11111111",
"11111111", "11111111"
});
FitnessMap<PhenoType> fitnessMap = mock(FitnessMap.class);
FitnessHandler fitnessHandler = mock(BinaryFitnessHandler.class);
when(fitnessMap.get(any(PhenoType.class))).thenReturn(1., 2., 3., 4., 5., 6., 7., 8., 9., 10.);
when(fitnessHandler.getFitness(any(PhenoType.class), any(Population.class)))
.thenReturn(1., 2., 3., 4., 5., 6., 7., 8., 9., 10.);
when(fitnessHandler.generateFitnessMap(any(Population.class))).thenReturn(fitnessMap);
GALoop ga = new GALoop(null);
FitnessProportionateMechanism instance = new FitnessProportionateMechanism(ga);
instance.createRangeMap(population, fitnessHandler);
RangeMap<PhenoType> map = instance.getRangeMap();
double[] expResult =
new double[] {
0.02, 0.04,
0.05, 0.07,
0.09, 0.11,
0.13, 0.15,
0.16, 0.18
};
int c = 0;
for (Entry<Range, PhenoType> r : map.entrySet()) {
System.out.println(r);
assertEquals(expResult[c++], round(r.getKey().getEnd() - r.getKey().getStart()));
// assertEquals(expResult[c++], r.getKey().getEnd()-r.getKey().getStart(),
// 0.00000001);
}
}