Clean up tests: add seed AffinityPropagation tests, Ignore JsonCliTest(no assertions)

src/main/java/de/monticore/lang/monticar/generator/middleware/clustering/algorithms/AffinityPropagationAlgorithm.java

@@ -8,10 +8,7 @@ import de.monticore.lang.monticar.generator.middleware.clustering.ClusteringInpu
 import org.apache.commons.math3.linear.Array2DRowRealMatrix;
 import org.apache.commons.math3.linear.RealMatrix;
 
-import java.util.ArrayList;
-import java.util.HashSet;
-import java.util.List;
-import java.util.Set;
+import java.util.*;
 
 public class AffinityPropagationAlgorithm implements ClusteringAlgorithm {
 
@@ -31,7 +28,13 @@ public class AffinityPropagationAlgorithm implements ClusteringAlgorithm {
 
         RealMatrix mat = new Array2DRowRealMatrix(clusteringInput.getAdjacencyMatrix());
 
-        AffinityPropagation clustering = new AffinityPropagationParameters().fitNewModel(mat);
+        AffinityPropagation clustering;
+        if(args.length == 2 && args[0] == AffinityPropagationBuilder.AffinityPropagationParameters.SEED){
+            clustering = new AffinityPropagationParameters().setSeed(new Random((Long) args[1])).fitNewModel(mat);
+        }else{
+            clustering = new AffinityPropagationParameters().fitNewModel(mat);
+        }
+
         final int[] labels = clustering.getLabels();
 
 

src/main/java/de/monticore/lang/monticar/generator/middleware/clustering/algorithms/AffinityPropagationBuilder.java

+package de.monticore.lang.monticar.generator.middleware.clustering.algorithms;
+
+import smile.clustering.DBSCAN;
+
+public class AffinityPropagationBuilder {
+    private Long seed;
+
+    // parameter list, true if mandatory
+    public enum AffinityPropagationParameters {
+        SEED(false);
+        private Boolean mandatory;
+
+        AffinityPropagationParameters(Boolean mandatory) {
+            this.mandatory = mandatory;
+        }
+        public Boolean isMandatory() {
+            return this.mandatory;
+        }
+    }
+
+    public AffinityPropagationBuilder() {
+    }
+
+    public AffinityPropagationBuilder(long seed) {
+        this.seed = seed;
+    }
+
+    public void setSeed(long seed) {
+        this.seed = seed;
+    }
+
+    public AffinityPropagationAlgorithm build() {
+        AffinityPropagationAlgorithm affinityPropagationAlgorithm = new AffinityPropagationAlgorithm();
+        if(seed == null){
+            return affinityPropagationAlgorithm;
+        }else{
+            affinityPropagationAlgorithm.setArgs(new Object[]{AffinityPropagationParameters.SEED, seed});
+            return affinityPropagationAlgorithm;
+        }
+    }
+
+}

src/test/java/de/monticore/lang/monticar/generator/middleware/AutomaticClusteringTest.java

@@ -556,6 +556,10 @@ public class AutomaticClusteringTest extends AbstractSymtabTest{
                             DBSCANClusteringBuilder.DBSCANParameters.DBSCAN_RADIUS, 10.0
                     };
                     break;
+                case AFFINITY_CLUSTERER:
+                    params= new Object[]{
+                            AffinityPropagationBuilder.AffinityPropagationParameters.SEED, 104L
+                    };
             }
             testCreateClusters(ClusteringAlgorithmFactory.getFromKind(kind), params, componentInstanceSymbol, modelName);
         }
@@ -824,7 +828,7 @@ public class AutomaticClusteringTest extends AbstractSymtabTest{
 
         RealMatrix mat = new Array2DRowRealMatrix(adjMatrix);
 
-        AffinityPropagation clustering = new AffinityPropagationParameters().fitNewModel(mat);
+        AffinityPropagation clustering = new AffinityPropagationParameters().setSeed(new Random(104)).fitNewModel(mat);
         final int[] labels = clustering.getLabels();
 
         for (int label : labels) {
@@ -853,7 +857,7 @@ public class AutomaticClusteringTest extends AbstractSymtabTest{
 
         RealMatrix mat = new Array2DRowRealMatrix(adjMatrix);
 
-        AffinityPropagation clustering = new AffinityPropagationParameters().fitNewModel(mat);
+        AffinityPropagation clustering = new AffinityPropagationParameters().setSeed(new Random(104)).fitNewModel(mat);
         final int[] labels = clustering.getLabels();
 
         for (int label : labels) {
@@ -883,7 +887,7 @@ public class AutomaticClusteringTest extends AbstractSymtabTest{
 
         RealMatrix mat = new Array2DRowRealMatrix(adjMatrix);
 
-        AffinityPropagation clustering = new AffinityPropagationParameters().fitNewModel(mat);
+        AffinityPropagation clustering = new AffinityPropagationParameters().setSeed(new Random(104)).fitNewModel(mat);
         final int[] labels = clustering.getLabels();
 
         for (int label : labels) {

src/test/java/de/monticore/lang/monticar/generator/middleware/JsonCliTest.java

@@ -4,6 +4,7 @@ import de.monticore.lang.monticar.generator.middleware.cli.DistributedTargetGene
 import org.junit.Ignore;
 import org.junit.Test;
 
+@Ignore("Not a test, does not assert anything")
 public class JsonCliTest {
 
     @Test