Changeset 12582 for branches/FitnessLandscapeAnalysis/HeuristicLab.Problems.NK/WeightInitializers/ExponentialDistributionWeightsInitializer.cs

Timestamp:

07/03/15 14:54:28 (9 years ago)

Author:

ascheibe

Message:

#2306 made comparers and initializers consistent

File:

• branches/FitnessLandscapeAnalysis/HeuristicLab.Problems.NK/WeightInitializers/ExponentialDistributionWeightsInitializer.cs (modified) (5 diffs)

branches/FitnessLandscapeAnalysis/HeuristicLab.Problems.NK/WeightInitializers/ExponentialDistributionWeightsInitializer.cs

@@ -28 +28 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
-namespace HeuristicLab.Problems.NK.WeightInitializers {
-
+namespace HeuristicLab.Problems.NK {
   [Item("ExponentialDistributionWeightsInitializer", "Assigns exponentially decreasing weights using the rate parameter lambda.")]
   [StorableClass]
-  public class ExponentialDistributionWeightsInitializer : ParameterizedNamedItem, IWeightsInitializer {
-
-    public override bool CanChangeName { get { return false; } }
-    public override bool CanChangeDescription { get { return false; } }
+  public sealed class ExponentialDistributionWeightsInitializer : ParameterizedNamedItem, IWeightsInitializer {
     public IValueParameter<DoubleValue> LambdaParameter {
       get { return (IValueParameter<DoubleValue>)Parameters["Lambda"]; }
@@ -41 +37 @@
 
     [StorableConstructor]
-    protected ExponentialDistributionWeightsInitializer(bool deserializing) : base(deserializing) { }
-    protected ExponentialDistributionWeightsInitializer(ExponentialDistributionWeightsInitializer original, Cloner cloner)
+    private ExponentialDistributionWeightsInitializer(bool deserializing) : base(deserializing) { }
+    private ExponentialDistributionWeightsInitializer(ExponentialDistributionWeightsInitializer original, Cloner cloner)
       : base(original, cloner) {
     }
@@ -52 +48 @@
     }
 
-    public static double f(double x, double lambda) {
+    private static double f(double x, double lambda) {
       if (x < 0.0)
         return 0.0;
@@ -58 +54 @@
     }
 
-    #region IWeightsInitializer Members
     public IEnumerable<double> GetWeights(int nComponents) {
       double lambda = LambdaParameter.Value.Value;
@@ -64 +59 @@
         yield return f(i, lambda);
     }
-    #endregion
   }
-
 }