Formatting - Eclipse IDE Java Conventions with spaces for indentation.

Change-Id: I0c3e50ef25bda0bc4ae59665a07848fe75507121
Reviewed-on: https://gerrit.libreoffice.org/72185
Reviewed-by: Julien Nabet <serval2412@yahoo.fr>
Tested-by: Jenkins

4 files changed, 17 insertions, 29 deletions

diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/BasicPoint.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/BasicPoint.java
index 35f5f79ce23d..9f6c2ec01de9 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/BasicPoint.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/BasicPoint.java
@@ -21,7 +21,7 @@
 package net.adaptivebox.space;
 
 public class BasicPoint implements ILocationEngine {
-  //store the location information in the search space (S)
+  // store the location information in the search space (S)
   private final double[] location;
 
   public BasicPoint(int dim) {
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java
index ce6790402a4e..9fbe937e1dff 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java
@@ -27,21 +27,20 @@ public class DesignDim {
   // To discrete space with the given step. For example, for an integer variable,
   // The grain value can be set as 1.
   public double grain = 0;
-  public BasicBound paramBound = new BasicBound(); //the range of a parameter
+  public BasicBound paramBound = new BasicBound(); // the range of a parameter
 
   public boolean isDiscrete() {
-    return grain!=0;
+    return grain != 0;
   }
 
   public double getGrainedValue(double value) {
-    if(grain==0) {
+    if (grain == 0) {
       return value;
-    } else if(grain>0) {
-      return paramBound.minValue+Math.rint((value-paramBound.minValue)/grain)*grain;
+    } else if (grain > 0) {
+      return paramBound.minValue + Math.rint((value - paramBound.minValue) / grain) * grain;
     } else {
-      return paramBound.maxValue-Math.rint((paramBound.maxValue-value)/grain)*grain;
+      return paramBound.maxValue - Math.rint((paramBound.maxValue - value) / grain) * grain;
     }
   }
 
 }
-
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
index 7e7629af8e10..0c28e0006e1b 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
@@ -27,59 +27,48 @@
 package net.adaptivebox.space;
 
 public class DesignSpace {
-  //The information of all the dimension
+  // The information of all the dimension
   private DesignDim[] dimProps;
 
   public DesignSpace(int dim) {
     dimProps = new DesignDim[dim];
   }
 
-
-
   public void setElemAt(DesignDim elem, int index) {
     dimProps[index] = elem;
   }
 
   public int getDimension() {
-    if (dimProps==null) {
+    if (dimProps == null) {
       return -1;
     }
     return dimProps.length;
   }
 
-  public double boundAdjustAt(double val, int dim){
+  public double boundAdjustAt(double val, int dim) {
     return dimProps[dim].paramBound.boundAdjust(val);
   }
 
-  public void mutationAt(double[] location, int i){
+  public void mutationAt(double[] location, int i) {
     location[i] = dimProps[i].paramBound.getRandomValue();
   }
 
-
-
-
-
-
-
   public double getMagnitudeIn(int dimensionIndex) {
     return dimProps[dimensionIndex].paramBound.getLength();
   }
 
-
-
-
-  public void initializeGene(double[] tempX){
-    for(int i=0;i<tempX.length;i++) tempX[i] =  dimProps[i].paramBound.getRandomValue(); //Global.RandomGenerator.doubleRangeRandom(9.8, 10);
+  public void initializeGene(double[] tempX) {
+    for (int i = 0; i < tempX.length; i++)
+      tempX[i] = dimProps[i].paramBound.getRandomValue(); // Global.RandomGenerator.doubleRangeRandom(9.8, 10);
   }
 
   public void getMappingPoint(double[] point) {
-    for(int i=0; i<getDimension(); i++) {
+    for (int i = 0; i < getDimension(); i++) {
       point[i] = dimProps[i].paramBound.annulusAdjust(point[i]);
-      if(dimProps[i].isDiscrete()) {
+      if (dimProps[i].isDiscrete()) {
         point[i] = dimProps[i].getGrainedValue(point[i]);
       }
     }
   }
 
 }
-
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/ILocationEngine.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/ILocationEngine.java
index 66ab92a67ecf..6b839df6e43d 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/ILocationEngine.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/ILocationEngine.java
@@ -20,6 +20,6 @@
 
 package net.adaptivebox.space;
 
-public interface ILocationEngine{
+public interface ILocationEngine {
   double[] getLocation();
 }