From 34bcf9b498bccb5c924f4cec850ff15d88df6f07 Mon Sep 17 00:00:00 2001
From: Noel Grandin <noel@peralex.com>
Date: Wed, 13 Aug 2014 10:08:31 +0200
Subject: java: remove dead methods

found by UCDetector

Change-Id: I219caa8e680dba5a395541a778df6144841c4dde
---
 .../src/net/adaptivebox/global/BasicBound.java     | 14 ------
 .../src/net/adaptivebox/global/GlobalCompare.java  | 16 +------
 .../src/net/adaptivebox/global/GlobalString.java   | 22 ++--------
 .../src/net/adaptivebox/global/OutputMethods.java  | 13 +-----
 .../net/adaptivebox/global/RandomGenerator.java    | 44 ++-----------------
 .../src/net/adaptivebox/knowledge/SearchPoint.java |  7 +--
 .../net/adaptivebox/problem/ProblemEncoder.java    | 13 +-----
 .../src/net/adaptivebox/space/DesignDim.java       |  5 +--
 .../src/net/adaptivebox/space/DesignSpace.java     | 50 +++-------------------
 9 files changed, 20 insertions(+), 164 deletions(-)

(limited to 'nlpsolver/ThirdParty')

diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/BasicBound.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/BasicBound.java
index 383e9c2ed202..39413006ab13 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/BasicBound.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/BasicBound.java
@@ -64,21 +64,7 @@ public class BasicBound {
     return value;
   }
 
-  public static BasicBound getBound(double[] data) {
-    BasicBound bound = new BasicBound();
-    if(data!=null) {
-      if(data.length>0) {
-        bound.minValue = data[0];
-        bound.maxValue = data[0];
-        for(int i=1; i<data.length; i++) {
-          bound.minValue = Math.min(bound.minValue, data[i]);
-          bound.maxValue = Math.max(bound.maxValue, data[i]);
-        }
 
-      }
-    }
-    return bound;
-  }
 
   public double randomAdjust (double value){
     if(value > maxValue || value < minValue) {
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalCompare.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalCompare.java
index 1721b240217c..8cbfaa158747 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalCompare.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalCompare.java
@@ -26,19 +26,5 @@ public class GlobalCompare {
       return CompareValue.EQUAL_TO;
   }
 
-/* check the magnitude of two array, the frontial is more important
- **/
-  public static int compareArray(double[] fit1, double[] fit2) {
-    if (fit1.length!=fit2.length) {
-      return CompareValue.INVALID;  //error
-    }
-    for (int i=0; i<fit1.length; i++) {
-      if (fit1[i]>fit2[i]) {
-        return CompareValue.LARGER_THAN; //Large than
-      } else if (fit1[i]<fit2[i]){
-        return CompareValue.LESS_THAN; //Less than
-      }
-    }
-    return CompareValue.EQUAL_TO; //same
-  }
+
 }
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalString.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalString.java
index 78f08e5dc213..bb7bf8d8dfe8 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalString.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/GlobalString.java
@@ -45,13 +45,9 @@ public class GlobalString {
     return v.toArray(new String[v.size()]);
   }
 
-  public static String[] getMeaningfulLines(String srcStr) throws Exception {
-    return getMeaningfulLines(srcStr, NEGLECT_TAG);
-  }
 
-  public static String getMeaningfulLine(BufferedReader outReader) throws Exception {
-    return getMeaningfulLine(outReader, NEGLECT_TAG);
-  }
+
+
 
   private static int getCharLoc(char data, String str) {
     for(int i=0; i<str.length(); i++) {
@@ -126,18 +122,8 @@ public class GlobalString {
     return nObj.toString();
   }
 
-  static public int toInteger(Object oVal) throws Exception {
-    if(oVal==null) throw new Exception("Null string");
-    return Integer.parseInt(oVal.toString());
-  }
 
-  static public double toDouble(Object oVal) throws Exception {
-    if(oVal==null) throw new Exception("Null string");
-    return Double.parseDouble(oVal.toString());
-  }
 
-  public static Object toObject(String key) throws Exception{
-    Class cls = Class.forName(key);
-    return cls.newInstance();
-  }
+
+
 }
\ No newline at end of file
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/OutputMethods.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/OutputMethods.java
index b2177b8dfdb8..666a8a0bd758 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/OutputMethods.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/OutputMethods.java
@@ -28,18 +28,7 @@ public class OutputMethods {
   public OutputMethods() {
   }
 
-  public static String outputVectorAsStr(double[] vector){
-    if(vector==null) return "NULL";
-    String totalStr = "";
-    for(int i=0;i<vector.length;i++){
-      totalStr += vector[i];
-      if(i!=vector.length-1) {
-        totalStr += "\t";
-      }
-    }
-    totalStr+="\r\n";
-    return totalStr;
-  }
+
 
   public static void outputVector(double[] vector){
     for(int i=0;i<vector.length;i++){
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/RandomGenerator.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/RandomGenerator.java
index 5a3f44612592..48d3b6d799e5 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/RandomGenerator.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/global/RandomGenerator.java
@@ -45,49 +45,13 @@ public static double doubleRangeRandom(double lowLimit,double upLimit){
   return(num);
 }
 
-/**This function returns true or false with a random probability.
- * @return int return value
-  */
-  public static boolean booleanRandom(){
-    boolean value = true;
-    double temp=Math.random();
-    if (temp<0.5) value=false;
-    return value;
-  }
 
-  public static int[] randomSelection(boolean[] types, int times) {
-    int validNum = 0;
-    for(int i=0; i<types.length; i++) {
-      if(!types[i]) {
-        validNum++;
-      }
-    }
-    int[] totalIndices = new int[validNum];
-    validNum = 0;
-    for(int i=0; i<types.length; i++) {
-      if(!types[i]) {
-        totalIndices[validNum] = i;
-        validNum++;
-        if(validNum==totalIndices.length) break;
-      }
-    }
-    return randomSelection(totalIndices, times);
-  }
 
-  public static int[] randomSelection(int low, int up, int times){
-    int[] totalIndices = new int[up-low];
-    for (int i=low; i<up; i++) {
-      totalIndices[i] = i;
-    }
-    return randomSelection(totalIndices, times);
-  }
 
-  public static int getRealV(double randTypeV) {
-    if(randTypeV<=0) return 0;
-    int realV = (int)Math.ceil(randTypeV);
-    if(Math.random()<(randTypeV-realV)) realV++;
-    return realV;
-  }
+
+
+
+
 
   private static int[] randomSelection(int[] totalIndices, int times) {
     if (times>=totalIndices.length) {
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/knowledge/SearchPoint.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/knowledge/SearchPoint.java
index c33d6490b4be..6fee1b7367e4 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/knowledge/SearchPoint.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/knowledge/SearchPoint.java
@@ -68,10 +68,5 @@ public class SearchPoint extends BasicPoint implements IEncodeEngine {
       return encodeInfo[0] == 0; //no constraint violations
   }
 
-  public void outputSelf() {
-    System.out.println("#--> Location:");
-    OutputMethods.outputVector(getLocation());
-    System.out.println("#--> (CON & OPTIM):");
-    OutputMethods.outputVector(getEncodeInfo());
-  }
+
 }
\ No newline at end of file
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java
index 5bbd88a26a45..98c6824b73d6 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/problem/ProblemEncoder.java
@@ -65,11 +65,7 @@ public abstract class ProblemEncoder {
     designSpace.setElemAt(dd, i);
   }
 
-  protected void setDefaultXAt(int i,  double min, double max) {
-    DesignDim dd = new DesignDim();
-    dd.paramBound = new BasicBound(min, max);
-    designSpace.setElemAt(dd, i);
-  }
+
 
   //set the default information for evaluation each response
   protected void setDefaultYAt(int i,  double min, double max) {
@@ -78,12 +74,7 @@ public abstract class ProblemEncoder {
     evalStruct.setElemAt(ee, i);
   }
 
-  protected void setDefaultYAt(int i,  double min, double max, double weight) {
-    EvalElement ee = new EvalElement();
-    ee.targetBound = new BasicBound(min, max);
-    ee.weight = weight;
-    evalStruct.setElemAt(ee, i);
-  }
+
 
   //get a fresh point
   public SearchPoint getFreshSearchPoint() {
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java
index aa9988c1b3a9..2ddbf1b891a8 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignDim.java
@@ -29,10 +29,7 @@ public class DesignDim {
   public BasicBound paramBound = new BasicBound(); //the range of a parameter
 
 
-  public void importData(DesignDim ipr) {
-    this.grain = ipr.grain;
-    this.paramBound = ipr.paramBound;
-  }
+
 
   public boolean isDiscrete() {
     return grain!=0;
diff --git a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
index bd620fa5bb9c..0b98752acb80 100644
--- a/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
+++ b/nlpsolver/ThirdParty/EvolutionarySolver/src/net/adaptivebox/space/DesignSpace.java
@@ -35,9 +35,7 @@ public class DesignSpace {
     dimProps = new DesignDim[dim];
   }
 
-  public DesignDim getDimAt(int index) {
-    return dimProps[index];
-  }
+
 
   public void setElemAt(DesignDim elem, int index) {
     dimProps[index] = elem;
@@ -60,56 +58,26 @@ public class DesignSpace {
     }
   }
 
-  public void randomAdjust (double[] location){
-    for (int i=0; i<getDimension(); i++) {
-      location[i] = dimProps[i].paramBound.randomAdjust(location[i]);
-    }
-  }
 
-  public boolean satisfyCondition(double[] location){
-    for (int i=0; i<getDimension(); i++) {
-      if (!dimProps[i].paramBound.isSatisfyCondition(location[i])) {
-        return false;
-      }
-    }
-    /*If the limits are not violated, return TRUE*/
-    return(true);
-  }
+
+
 
   public void mutationAt(double[] location, int i){
     location[i] = dimProps[i].paramBound.getRandomValue();
   }
 
-  public double mutationUniformAtPointAsCenter (double pointX, int i){
-    double length = this.getMagnitudeIn(i)/2;
-    pointX += RandomGenerator.doubleRangeRandom(-1*length, length);
 
-    return pointX;
-  }
 
-  public double getUpValueAt(int dimensionIndex) {
-    return dimProps[dimensionIndex].paramBound.maxValue;
-  }
 
-  public double getLowValueAt(int dimensionIndex) {
-    return dimProps[dimensionIndex].paramBound.minValue;
-  }
+
+
 
   public double getMagnitudeIn(int dimensionIndex) {
     return dimProps[dimensionIndex].paramBound.getLength();
   }
 
 
-  public boolean initilizeGeneAtPointAsCenter(double[] tempX){
-    if (tempX.length!=this.getDimension()) {
-      return false;
-    }
-    for(int i=0;i<tempX.length;i++) {
-      double length = this.getMagnitudeIn(i)/2;
-      tempX[i]+=RandomGenerator.doubleRangeRandom(-1*length, length);
-    }
-    return true;
-  }
+
 
   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);
@@ -129,11 +97,5 @@ public class DesignSpace {
     }
   }
 
-  public double[] getRealLoc(double[] imageLoc) {
-    double[] realLoc = new double[imageLoc.length];
-    System.arraycopy(imageLoc, 0, realLoc, 0, imageLoc.length);
-    annulusAdjust(realLoc);
-    return realLoc;
-  }
 }
 
-- 
cgit