Improve tests

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

@@ -24,7 +24,7 @@ public class Factory {
             return new SolutionAUC(a);
         } else {
             throw new IllegalArgumentException(
-                    "Provide o correct type of Solution");
+                    "Provide a correct type of Solution");
         }
     }
 }

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

@@ -6,6 +6,7 @@ import org.junit.jupiter.api.Test;
 
 import java.util.ArrayList;
 import java.util.List;
+import java.util.Random;
 
 import static org.junit.jupiter.api.Assertions.*;
 
@@ -20,7 +21,7 @@ class UtilsTest {
     }
 
     @Test
-    void sumListElements() {
+    void testSumListElements() {
         List<Double> weights = new ArrayList<>();
         weights.add(0.365);
         weights.add(0.658);
@@ -39,7 +40,7 @@ class UtilsTest {
     }
 
     @Test
-    void normalizeWeights() {
+    void testNormalizeWeights() {
         List<Double> weights = new ArrayList<>();
         weights.add(0.365);
         weights.add(0.658);
@@ -74,19 +75,49 @@ class UtilsTest {
     }
 
     @Test
-    void findMaxDistance() {
+    void testFindMinDistance() {
+        List<AbstractSolution> population = new ArrayList<>();
+        Random rnd = new Random(5478);
+        List<List<Double>> data = Utils.convertJsonToDataForTrainer("./ressources/webshell_data.json");
+        List<Double> expected = Utils.convertJsonToExpectedForTrainer("./ressources/webshell_expected.json");
+        for (int i = 0; i < 50; i++) {
+            SolutionDistance solution = new SolutionDistance(5,rnd.nextInt());
+            solution.computeScoreTo(data, expected);
+            population.add(solution);
+        }
+        assertEquals(8.668597844797882, Utils.findMinDistance(population));
     }
 
     @Test
-    void findMinDistance() {
+    void testFindMaxDistance() {
+        List<AbstractSolution> population = new ArrayList<>();
+        Random rnd = new Random(5478);
+        List<List<Double>> data = Utils.convertJsonToDataForTrainer("./ressources/webshell_data.json");
+        List<Double> expected = Utils.convertJsonToExpectedForTrainer("./ressources/webshell_expected.json");
+        for (int i = 0; i < 50; i++) {
+            SolutionDistance solution = new SolutionDistance(5,rnd.nextInt());
+            solution.computeScoreTo(data, expected);
+            population.add(solution);
+        }
+        assertEquals(34.18904600152107, Utils.findMaxDistance(population));
     }
 
     @Test
-    void sumTotalDistance() {
+    void testSumTotalDistance() {
+        List<AbstractSolution> population = new ArrayList<>();
+        Random rnd = new Random(5478);
+        List<List<Double>> data = Utils.convertJsonToDataForTrainer("./ressources/webshell_data.json");
+        List<Double> expected = Utils.convertJsonToExpectedForTrainer("./ressources/webshell_expected.json");
+        for (int i = 0; i < 50; i++) {
+            SolutionDistance solution = new SolutionDistance(5,rnd.nextInt());
+            solution.computeScoreTo(data, expected);
+            population.add(solution);
+        }
+        assertEquals(781.5916287000892, Utils.sumTotalDistance(population));
     }
 
     @Test
-    void randomInteger() {
+    void testRandomInteger() {
         int a = Utils.randomInteger(0, 500);
         assertTrue(a > 0);
         assertTrue(a < 500);
@@ -98,18 +129,18 @@ class UtilsTest {
     }
 
     @Test
-    void computeWOWAScoreWithData() {
+    void testComputeWOWAScoreWithData() {
     }
 
     @Test
-    void convertExpectedToBooleanArrayTrueAlert() {
+    void testConvertExpectedToBooleanArrayTrueAlert() {
     }
 
     @Test
-    void convertListDoubleToArrayDouble() {
+    void testConvertListDoubleToArrayDouble() {
     }
 
     @Test
-    void initializeListWithZeroValues() {
+    void testInitializeListWithZeroValues() {
     }
 }
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