Solve Clean verify issues. Test erros because of refactoring

src/main/java/be/cylab/java/wowa/training/TrainerParameters.java

@@ -143,7 +143,7 @@ public class TrainerParameters {
     /**
      * @return
      */
-    public int getCrossoverRate() {
+    public final int getCrossoverRate() {
         return crossover_rate;
     }
 

src/test/java/be/cylab/java/wowa/training/TrainerTest.java

@@ -14,7 +14,9 @@ class TrainerTest {
     @BeforeEach
     void setUp() {
 
-        TrainerParameters parameters = new TrainerParameters(null, 100, 30, 10, 100, TrainerParameters.SELECTION_METHOD_RWS, TrainerParameters.POPULATION_INITIALIZATION_RANDOM);
+        TrainerParameters parameters = new TrainerParameters(
+                null, 100, 30, 10,
+                100, SelectionMethod.RWS, GenerationMethod.RANDOM);
         this.trainer = new Trainer(parameters, new SolutionDistance(5));
     }
 
@@ -255,13 +257,13 @@ class TrainerTest {
         List<Double> expected = generateExpected(100);
         List<AbstractSolution> computed_population = this.trainer.computeDistances(population, data, expected);
         AbstractSolution best_solution = this.trainer.findBestSolution(computed_population);
-        List<AbstractSolution> parents = this.trainer.selectParents(computed_population, 30, TrainerParameters.SELECTION_METHOD_TOS);
+        List<AbstractSolution> parents = this.trainer.selectParents(computed_population, 30, SelectionMethod.TOS);
         assertEquals(best_solution, parents.get(0));
         assertEquals(30, parents.size());
 
         computed_population = this.trainer.computeDistances(population, data, expected);
         best_solution = this.trainer.findBestSolution(computed_population);
-        parents = this.trainer.selectParents(computed_population, 30, TrainerParameters.SELECTION_METHOD_RWS);
+        parents = this.trainer.selectParents(computed_population, 30, SelectionMethod.RWS);
         assertEquals(best_solution, parents.get(0));
         assertEquals(30, parents.size());
 
@@ -280,7 +282,7 @@ class TrainerTest {
         List<List<Double>> data = generateData(100, 5);
         List<Double> expected = generateExpected(100);
         population = this.trainer.computeDistances(population, data, expected);
-        List<AbstractSolution> parents = this.trainer.selectParents(population, 10, TrainerParameters.SELECTION_METHOD_RWS);
+        List<AbstractSolution> parents = this.trainer.selectParents(population, 10, SelectionMethod.RWS);
         this.trainer.reproduce(parents.get(0), parents.get(1), parents, 1, 0.25875);
         List<Double> expected_weight_w_child_1 = Arrays.asList(new Double[]{0.29251897956852974, 0.177172118, 0.053456076807862664, 0.35802487078331857, 0.15845805675613056});
         List<Double> expected_weight_w_child_2 = Arrays.asList(new Double[] {0.28029560126515357, 0.159332272, 0.08953411511177484, 0.17126082447600055, 0.25994701067132736});