Mass change: chain .addConstraint statements

elki-project · Mar 27, 2018 · dd07de6 · dd07de6
1 parent 67a7e29
commit dd07de6
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Showing 123 changed files with 388 additions and 409 deletions.
diff --git a/addons/batikvis/src/main/java/de/lmu/ifi/dbs/elki/result/AutomaticVisualization.java b/addons/batikvis/src/main/java/de/lmu/ifi/dbs/elki/result/AutomaticVisualization.java
@@ -171,8 +171,8 @@ public static class Parameterizer extends AbstractParameterizer {
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      StringParameter titleP = new StringParameter(WINDOW_TITLE_ID);
-      titleP.setOptional(true);
+      StringParameter titleP = new StringParameter(WINDOW_TITLE_ID) //
+          .setOptional(true);
       if(config.grab(titleP)) {
         title = titleP.getValue();
       }

diff --git a/addons/batikvis/src/main/java/de/lmu/ifi/dbs/elki/result/ExportVisualizations.java b/addons/batikvis/src/main/java/de/lmu/ifi/dbs/elki/result/ExportVisualizations.java
@@ -362,8 +362,8 @@ protected void makeOptions(Parameterization config) {
         output = outputP.getValue();
       }
 
-      DoubleParameter ratioP = new DoubleParameter(RATIO_ID, 1.33);
-      ratioP.addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
+      DoubleParameter ratioP = new DoubleParameter(RATIO_ID, 1.33) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
       if(config.grab(ratioP)) {
         ratio = ratioP.doubleValue();
       }

diff --git a/.../batikvis/src/main/java/de/lmu/ifi/dbs/elki/visualization/projector/HistogramFactory.java b/.../batikvis/src/main/java/de/lmu/ifi/dbs/elki/visualization/projector/HistogramFactory.java
@@ -95,8 +95,8 @@ public static class Parameterizer extends AbstractParameterizer {
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter maxdimP = new IntParameter(ScatterPlotFactory.Parameterizer.MAXDIM_ID, ScatterPlotFactory.MAX_DIMENSIONS_DEFAULT);
-      maxdimP.addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
+      IntParameter maxdimP = new IntParameter(ScatterPlotFactory.Parameterizer.MAXDIM_ID, ScatterPlotFactory.MAX_DIMENSIONS_DEFAULT) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
       if(config.grab(maxdimP)) {
         maxdim = maxdimP.intValue();
       }

diff --git a/...atikvis/src/main/java/de/lmu/ifi/dbs/elki/visualization/projector/ScatterPlotFactory.java b/...atikvis/src/main/java/de/lmu/ifi/dbs/elki/visualization/projector/ScatterPlotFactory.java
@@ -128,8 +128,8 @@ public static class Parameterizer extends AbstractParameterizer {
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter maxdimP = new IntParameter(MAXDIM_ID, MAX_DIMENSIONS_DEFAULT);
-      maxdimP.addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
+      IntParameter maxdimP = new IntParameter(MAXDIM_ID, MAX_DIMENSIONS_DEFAULT) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
       if(config.grab(maxdimP)) {
         maxdim = maxdimP.intValue();
       }

diff --git a/...lmu/ifi/dbs/elki/visualization/visualizers/parallel/index/RTreeParallelVisualization.java b/...lmu/ifi/dbs/elki/visualization/visualizers/parallel/index/RTreeParallelVisualization.java
@@ -232,8 +232,8 @@ public static class Parameterizer extends AbstractParameterizer {
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      Flag fillF = new Flag(TreeMBRVisualization.Parameterizer.FILL_ID);
-      fillF.setDefaultValue(Boolean.TRUE);
+      Flag fillF = new Flag(TreeMBRVisualization.Parameterizer.FILL_ID) //
+          .setDefaultValue(Boolean.TRUE);
       if(config.grab(fillF)) {
         fill = fillF.isTrue();
       }

diff --git a/.../de/lmu/ifi/dbs/elki/visualization/visualizers/scatterplot/TooltipScoreVisualization.java b/.../de/lmu/ifi/dbs/elki/visualization/visualizers/scatterplot/TooltipScoreVisualization.java
@@ -243,8 +243,8 @@ public static class Parameterizer extends AbstractParameterizer {
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter digitsP = new IntParameter(DIGITS_ID, 4);
-      digitsP.addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
+      IntParameter digitsP = new IntParameter(DIGITS_ID, 4) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
 
       if(config.grab(digitsP)) {
         int digits = digitsP.intValue();

diff --git a/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering1.java b/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering1.java
@@ -216,8 +216,8 @@ public static class Parameterizer<O> extends AbstractDistanceBasedAlgorithm.Para
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID);
-      numclustersP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(numclustersP)) {
         numclusters = numclustersP.intValue();
       }

diff --git a/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering2.java b/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering2.java
@@ -253,8 +253,8 @@ public static class Parameterizer<O> extends AbstractDistanceBasedAlgorithm.Para
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID);
-      numclustersP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(numclustersP)) {
         numclusters = numclustersP.intValue();
       }

diff --git a/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering3.java b/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering3.java
@@ -369,14 +369,14 @@ public static class Parameterizer<O> extends AbstractDistanceBasedAlgorithm.Para
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID);
-      numclustersP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter numclustersP = new IntParameter(CutDendrogramByNumberOfClusters.Parameterizer.MINCLUSTERS_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(numclustersP)) {
         numclusters = numclustersP.intValue();
       }
 
-      EnumParameter<Linkage> linkageP = new EnumParameter<>(LINKAGE_ID, Linkage.class);
-      linkageP.setDefaultValue(Linkage.WARD);
+      EnumParameter<Linkage> linkageP = new EnumParameter<>(LINKAGE_ID, Linkage.class) //
+          .setDefaultValue(Linkage.WARD);
       if(config.grab(linkageP)) {
         linkage = linkageP.getValue();
       }

diff --git a/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering4.java b/...tutorial/src/main/java/tutorial/clustering/NaiveAgglomerativeHierarchicalClustering4.java
@@ -313,8 +313,8 @@ public static class Parameterizer<O> extends AbstractDistanceBasedAlgorithm.Para
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      EnumParameter<Linkage> linkageP = new EnumParameter<>(LINKAGE_ID, Linkage.class);
-      linkageP.setDefaultValue(Linkage.WARD);
+      EnumParameter<Linkage> linkageP = new EnumParameter<>(LINKAGE_ID, Linkage.class) //
+          .setDefaultValue(Linkage.WARD);
       if(config.grab(linkageP)) {
         linkage = linkageP.getValue();
       }

diff --git a/addons/tutorial/src/main/java/tutorial/clustering/SameSizeKMeansAlgorithm.java b/addons/tutorial/src/main/java/tutorial/clustering/SameSizeKMeansAlgorithm.java
@@ -484,8 +484,8 @@ protected void makeOptions(Parameterization config) {
         }
       }
 
-      IntParameter kP = new IntParameter(K_ID);
-      kP.addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
+      IntParameter kP = new IntParameter(K_ID) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
       if(config.grab(kP)) {
         k = kP.getValue();
       }
@@ -495,8 +495,8 @@ protected void makeOptions(Parameterization config) {
         initializer = initialP.instantiateClass(config);
       }
 
-      IntParameter maxiterP = new IntParameter(MAXITER_ID, -1);
-      maxiterP.addConstraint(CommonConstraints.GREATER_EQUAL_MINUSONE_INT);
+      IntParameter maxiterP = new IntParameter(MAXITER_ID, -1) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_MINUSONE_INT);
       if(config.grab(maxiterP)) {
         maxiter = maxiterP.intValue();
       }

diff --git a/addons/tutorial/src/main/java/tutorial/outlier/DistanceStddevOutlier.java b/addons/tutorial/src/main/java/tutorial/outlier/DistanceStddevOutlier.java
@@ -152,8 +152,8 @@ public static class Parameterizer<O> extends AbstractDistanceBasedAlgorithm.Para
     protected void makeOptions(Parameterization config) {
       // The super class has the distance function parameter!
       super.makeOptions(config);
-      IntParameter kParam = new IntParameter(K_ID);
-      kParam.addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
+      IntParameter kParam = new IntParameter(K_ID) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
       if(config.grab(kParam)) {
         k = kParam.getValue();
       }

diff --git a/...a/de/lmu/ifi/dbs/elki/datasource/filter/typeconversions/WeightedUncertainSplitFilter.java b/...a/de/lmu/ifi/dbs/elki/datasource/filter/typeconversions/WeightedUncertainSplitFilter.java
@@ -167,8 +167,8 @@ protected void makeOptions(Parameterization config) {
       if(config.grab(dimsP)) {
         dims = dimsP.intValue();
         // Add additional constraints:
-        probP.addConstraint(new LessConstraint(dimsP.intValue()));
-        probP.addConstraint(new GreaterEqualConstraint(-dimsP.intValue()));
+        probP.addConstraint(new LessConstraint(dimsP.intValue())) //
+            .addConstraint(new GreaterEqualConstraint(-dimsP.intValue()));
       }
       if(config.grab(probP)) {
         probcol = probP.intValue();

diff --git a/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/GriDBSCAN.java b/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/GriDBSCAN.java
@@ -719,8 +719,8 @@ protected void makeOptions(Parameterization config) {
       DoubleParameter gridP = new DoubleParameter(GRID_ID) //
       .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
       if(epsilon > 0.) {
-        gridP.setDefaultValue(10. * epsilon);
-        gridP.addConstraint(new GreaterEqualConstraint(1. * epsilon));
+        gridP.setDefaultValue(10. * epsilon) //
+            .addConstraint(new GreaterEqualConstraint(1. * epsilon));
       }
       if(config.grab(gridP)) {
         gridwidth = gridP.doubleValue();

diff --git a/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/SNNClustering.java b/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/SNNClustering.java
@@ -328,8 +328,8 @@ protected void makeOptions(Parameterization config) {
         epsilon = epsilonP.getValue();
       }
 
-      IntParameter minptsP = new IntParameter(MINPTS_ID);
-      minptsP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter minptsP = new IntParameter(MINPTS_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(minptsP)) {
         minpts = minptsP.intValue();
       }

diff --git a/...elki/algorithm/clustering/affinitypropagation/AffinityPropagationClusteringAlgorithm.java b/...elki/algorithm/clustering/affinitypropagation/AffinityPropagationClusteringAlgorithm.java
@@ -322,14 +322,14 @@ protected void makeOptions(Parameterization config) {
       if(config.grab(param)) {
         initialization = param.instantiateClass(config);
       }
-      final DoubleParameter lambdaP = new DoubleParameter(LAMBDA_ID, .5);
-      lambdaP.addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
-      lambdaP.addConstraint(CommonConstraints.LESS_THAN_ONE_DOUBLE);
+      final DoubleParameter lambdaP = new DoubleParameter(LAMBDA_ID, .5) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE) //
+          .addConstraint(CommonConstraints.LESS_THAN_ONE_DOUBLE);
       if(config.grab(lambdaP)) {
         lambda = lambdaP.doubleValue();
       }
-      final IntParameter convergenceP = new IntParameter(CONVERGENCE_ID, 15);
-      convergenceP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      final IntParameter convergenceP = new IntParameter(CONVERGENCE_ID, 15) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(convergenceP)) {
         convergence = convergenceP.intValue();
       }

diff --git a/...g/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/BestOfMultipleKMeans.java b/...g/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/BestOfMultipleKMeans.java
@@ -191,8 +191,8 @@ public static class Parameterizer<V extends NumberVector, M extends MeanModel> e
 
     @Override
     protected void makeOptions(Parameterization config) {
-      IntParameter trialsP = new IntParameter(TRIALS_ID);
-      trialsP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter trialsP = new IntParameter(TRIALS_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(trialsP)) {
         trials = trialsP.intValue();
       }

diff --git a/...ing/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMeansBatchedLloyd.java b/...ing/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMeansBatchedLloyd.java
@@ -315,8 +315,8 @@ public static class Parameterizer<V extends NumberVector> extends AbstractKMeans
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter blocksP = new IntParameter(BLOCKS_ID, 10);
-      blocksP.addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
+      IntParameter blocksP = new IntParameter(BLOCKS_ID, 10) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
       if(config.grab(blocksP)) {
         blocks = blocksP.intValue();
       }

diff --git a/...tering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMeansBisecting.java b/...tering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMeansBisecting.java
@@ -202,8 +202,8 @@ public static class Parameterizer<V extends NumberVector, M extends MeanModel> e
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
 
-      IntParameter kP = new IntParameter(KMeans.K_ID);
-      kP.addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
+      IntParameter kP = new IntParameter(KMeans.K_ID) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ONE_INT);
       if (config.grab(kP)) {
         k = kP.intValue();
       }

diff --git a/...-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsEM.java b/...-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/kmeans/KMedoidsEM.java
@@ -304,8 +304,8 @@ public static class Parameterizer<V> extends AbstractDistanceBasedAlgorithm.Para
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter kP = new IntParameter(KMeans.K_ID);
-      kP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter kP = new IntParameter(KMeans.K_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(kP)) {
         k = kP.intValue();
       }
@@ -315,8 +315,8 @@ protected void makeOptions(Parameterization config) {
         initializer = initialP.instantiateClass(config);
       }
 
-      IntParameter maxiterP = new IntParameter(KMeans.MAXITER_ID, 0);
-      maxiterP.addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
+      IntParameter maxiterP = new IntParameter(KMeans.MAXITER_ID, 0) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
       if(config.grab(maxiterP)) {
         maxiter = maxiterP.intValue();
       }

diff --git a/...mu/ifi/dbs/elki/algorithm/clustering/onedimensional/KNNKernelDensityMinimaClustering.java b/...mu/ifi/dbs/elki/algorithm/clustering/onedimensional/KNNKernelDensityMinimaClustering.java
@@ -339,8 +339,8 @@ public static class Parameterizer<V extends NumberVector> extends AbstractParame
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      IntParameter dimP = new IntParameter(DIM_ID, 0);
-      dimP.addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
+      IntParameter dimP = new IntParameter(DIM_ID, 0) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ZERO_INT);
       if(config.grab(dimP)) {
         dim = dimP.intValue();
       }
@@ -355,14 +355,14 @@ protected void makeOptions(Parameterization config) {
         mode = modeP.getValue();
       }
 
-      IntParameter kP = new IntParameter(K_ID);
-      kP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter kP = new IntParameter(K_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(kP)) {
         k = kP.intValue();
       }
 
-      IntParameter windowP = new IntParameter(WINDOW_ID);
-      windowP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter windowP = new IntParameter(WINDOW_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(windowP)) {
         minwindow = windowP.intValue();
       }

diff --git a/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/HiSC.java b/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/HiSC.java
@@ -319,9 +319,9 @@ public static class Parameterizer<V extends NumberVector> extends AbstractParame
     @Override
     protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
-      DoubleParameter alphaP = new DoubleParameter(HiSCPreferenceVectorIndex.Factory.ALPHA_ID, HiSCPreferenceVectorIndex.Factory.DEFAULT_ALPHA);
-      alphaP.addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
-      alphaP.addConstraint(CommonConstraints.LESS_THAN_ONE_DOUBLE);
+      DoubleParameter alphaP = new DoubleParameter(HiSCPreferenceVectorIndex.Factory.ALPHA_ID, HiSCPreferenceVectorIndex.Factory.DEFAULT_ALPHA) //
+          .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE) //
+          .addConstraint(CommonConstraints.LESS_THAN_ONE_DOUBLE);
       if(config.grab(alphaP)) {
         alpha = alphaP.doubleValue();
       }

diff --git a/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/P3C.java b/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/P3C.java
@@ -937,42 +937,42 @@ protected void makeOptions(Parameterization config) {
       super.makeOptions(config);
 
       {
-        DoubleParameter param = new DoubleParameter(ALPHA_THRESHOLD_ID, .001);
-        param.addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
-        param.addConstraint(CommonConstraints.LESS_THAN_HALF_DOUBLE);
+        DoubleParameter param = new DoubleParameter(ALPHA_THRESHOLD_ID, .001) //
+            .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE) //
+            .addConstraint(CommonConstraints.LESS_THAN_HALF_DOUBLE);
         if(config.grab(param)) {
           alpha = param.getValue();
         }
       }
 
       {
-        DoubleParameter param = new DoubleParameter(POISSON_THRESHOLD_ID, 1.e-4);
-        param.addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
-        param.addConstraint(CommonConstraints.LESS_THAN_HALF_DOUBLE);
+        DoubleParameter param = new DoubleParameter(POISSON_THRESHOLD_ID, 1.e-4) //
+            .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE) //
+            .addConstraint(CommonConstraints.LESS_THAN_HALF_DOUBLE);
         if(config.grab(param)) {
           poissonThreshold = param.getValue();
         }
       }
 
       {
-        IntParameter param = new IntParameter(MAX_EM_ITERATIONS_ID, 20);
-        param.addConstraint(CommonConstraints.GREATER_EQUAL_MINUSONE_INT);
+        IntParameter param = new IntParameter(MAX_EM_ITERATIONS_ID, 20) //
+            .addConstraint(CommonConstraints.GREATER_EQUAL_MINUSONE_INT);
         if(config.grab(param)) {
           maxEmIterations = param.getValue();
         }
       }
 
       {
-        DoubleParameter param = new DoubleParameter(EM_DELTA_ID, 1.e-5);
-        param.addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
+        DoubleParameter param = new DoubleParameter(EM_DELTA_ID, 1.e-5) //
+            .addConstraint(CommonConstraints.GREATER_THAN_ZERO_DOUBLE);
         if(config.grab(param)) {
           emDelta = param.getValue();
         }
       }
 
       {
-        IntParameter param = new IntParameter(MIN_CLUSTER_SIZE_ID, 1);
-        param.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+        IntParameter param = new IntParameter(MIN_CLUSTER_SIZE_ID, 1) //
+            .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
         if(config.grab(param)) {
           minClusterSize = param.getValue();
         }

diff --git a/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/SUBCLU.java b/elki-clustering/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/subspace/SUBCLU.java
@@ -485,8 +485,8 @@ protected void makeOptions(Parameterization config) {
         epsilon = epsilonP.getValue();
       }
 
-      IntParameter minptsP = new IntParameter(MINPTS_ID);
-      minptsP.addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
+      IntParameter minptsP = new IntParameter(MINPTS_ID) //
+          .addConstraint(CommonConstraints.GREATER_EQUAL_ONE_INT);
       if(config.grab(minptsP)) {
         minpts = minptsP.getValue();
       }

diff --git a/...ing/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/trivial/ByLabelClustering.java b/...ing/src/main/java/de/lmu/ifi/dbs/elki/algorithm/clustering/trivial/ByLabelClustering.java
@@ -269,8 +269,8 @@ protected void makeOptions(Parameterization config) {
         multiple = multipleF.getValue();
       }
 
-      PatternParameter noisepatP = new PatternParameter(NOISE_ID);
-      noisepatP.setOptional(true);
+      PatternParameter noisepatP = new PatternParameter(NOISE_ID) //
+          .setOptional(true);
       if(config.grab(noisepatP)) {
         noisepat = noisepatP.getValue();
       }