Robust/src/Benchmarks/PERT/Tag/Estimator.java

   1 public class Estimator {
   2     flag estimate;
   3     flag prob;
   4
   5     int stages;
   6     int time;
   7     double variance;
   8     double[] probtable;
   9
  10     boolean partial;
  11
  12     public Estimator(int stages) {
  13         this.stages = stages;
  14         this.time = 0;
  15         this.variance = 0;
  16
  17         this.probtable = new double[31];
  18         int i = 0;
  19         this.probtable[i++] = 0.5000;
  20         this.probtable[i++] = 0.5398;
  21         this.probtable[i++] = 0.5793;
  22         this.probtable[i++] = 0.6179;
  23         this.probtable[i++] = 0.6554;
  24         this.probtable[i++] = 0.6915;
  25         this.probtable[i++] = 0.7257;
  26         this.probtable[i++] = 0.7580;
  27         this.probtable[i++] = 0.7881;
  28         this.probtable[i++] = 0.8159;
  29         this.probtable[i++] = 0.8413;
  30         this.probtable[i++] = 0.8643;
  31         this.probtable[i++] = 0.8849;
  32         this.probtable[i++] = 0.9032;
  33         this.probtable[i++] = 0.9192;
  34         this.probtable[i++] = 0.9332;
  35         this.probtable[i++] = 0.9452;
  36         this.probtable[i++] = 0.9554;
  37         this.probtable[i++] = 0.9641;
  38         this.probtable[i++] = 0.9713;
  39         this.probtable[i++] = 0.9772;
  40         this.probtable[i++] = 0.9821;
  41         this.probtable[i++] = 0.9861;
  42         this.probtable[i++] = 0.9893;
  43         this.probtable[i++] = 0.9918;
  44         this.probtable[i++] = 0.9938;
  45         this.probtable[i++] = 0.9953;
  46         this.probtable[i++] = 0.9965;
  47         this.probtable[i++] = 0.9974;
  48         this.probtable[i++] = 0.9981;
  49         this.probtable[i++] = 0.9987;
  50
  51         this.partial = false;
  52     }
  53
  54     public boolean estimate(int time, double variance2, boolean fake) {
  55         if(!fake) {
  56             this.time += time;
  57             this.variance += variance2;
  58         } else {
  59             this.partial = true;
  60         }
  61         --this.stages;
  62         if(this.stages == 0) {
  63             //System.printString("variance2: " + (int)(this.variance*100) + "(/100); ");
  64             this.variance = Math.sqrt(this.variance);
  65             //System.printString("variance: " + (int)(this.variance*100) + "(/100)\n");
  66             return true;
  67         }
  68         return false;
  69     }
  70
  71     public double getProbability(int x, int y) {
  72         int l = x;
  73         int r = y;
  74         if(x > y) {
  75             l = y;
  76             r = x;
  77         }
  78
  79         double prob = prob(r) - prob(l);
  80         return prob;
  81     }
  82
  83     private double prob(int s) {
  84         int tmp = (int)((s - this.time) * 10 / this.variance);
  85         //System.printString(tmp + "\n");
  86         int abs = (int)Math.abs(tmp);
  87         double prob = 0;
  88         if(abs > this.probtable.length - 1) {
  89             prob = 1;
  90         } else {
  91             prob = this.probtable[abs];
  92         }
  93         if(tmp < 0) {
  94             return 1.0 - prob;
  95         } else {
  96             return prob;
  97         }
  98     }
  99
 100     public int getTime() {
 101         return this.time;
 102     }
 103
 104     public double getVariance() {
 105         return this.variance;
 106     }
 107
 108     public boolean isPartial() {
 109         return this.partial;
 110     }
 111 }