| 1 | package de.uka.ipd.sdq.stoex.analyser.operations; |
| 2 | |
| 3 | import java.util.ArrayList; |
| 4 | import java.util.Collections; |
| 5 | import java.util.Comparator; |
| 6 | import java.util.Iterator; |
| 7 | import java.util.List; |
| 8 | |
| 9 | import de.uka.ipd.sdq.probfunction.math.IProbabilityDensityFunction; |
| 10 | import de.uka.ipd.sdq.probfunction.math.IProbabilityFunctionFactory; |
| 11 | import de.uka.ipd.sdq.probfunction.math.IProbabilityMassFunction; |
| 12 | import de.uka.ipd.sdq.probfunction.math.ISample; |
| 13 | import de.uka.ipd.sdq.probfunction.math.IUnit; |
| 14 | import de.uka.ipd.sdq.probfunction.math.exception.DifferentDomainsException; |
| 15 | import de.uka.ipd.sdq.probfunction.math.exception.DomainNotNumbersException; |
| 16 | import de.uka.ipd.sdq.probfunction.math.exception.FunctionsInDifferenDomainsException; |
| 17 | import de.uka.ipd.sdq.probfunction.math.exception.IncompatibleUnitsException; |
| 18 | import de.uka.ipd.sdq.probfunction.math.exception.UnknownPDFTypeException; |
| 19 | |
| 20 | /** |
| 21 | * An interface for term (+,-) and product (*,/,%) operations. |
| 22 | * @author koziolek |
| 23 | */ |
| 24 | public abstract class TermProductOperation { |
| 25 | |
| 26 | /** |
| 27 | * @author martens, Philipp Meier |
| 28 | */ |
| 29 | public IProbabilityMassFunction compute(IProbabilityMassFunction left, |
| 30 | IProbabilityMassFunction right) throws DifferentDomainsException { |
| 31 | |
| 32 | IUnit resultUnit = IProbabilityFunctionFactory.eINSTANCE |
| 33 | .createUnit(left.getUnit() + " * " + right.getUnit()); |
| 34 | boolean resultHasOrderedDomain = (left.hasOrderedDomain() && right |
| 35 | .hasOrderedDomain()); |
| 36 | |
| 37 | boolean isInteger = isIntegerSample(left) && isIntegerSample(right); |
| 38 | |
| 39 | // left and right are PMFs with samples nleft and nright |
| 40 | // generate a PMF with nleft*nright samples by |
| 41 | // multiplying both the probabilies and the values each |
| 42 | |
| 43 | List<ISample> resultList = new ArrayList<ISample>(); |
| 44 | |
| 45 | for (ISample sleft : left.getSamples()) { |
| 46 | for (ISample sright : right.getSamples()) { |
| 47 | if (isInteger) { |
| 48 | resultList |
| 49 | .add(IProbabilityFunctionFactory.eINSTANCE |
| 50 | .createSample(new Integer( |
| 51 | calculateOperationForValues( |
| 52 | getDoubleValue(sleft), |
| 53 | getDoubleValue(sright)) |
| 54 | .intValue()), sleft |
| 55 | .getProbability() |
| 56 | * sright.getProbability())); |
| 57 | } else { |
| 58 | resultList.add(IProbabilityFunctionFactory.eINSTANCE |
| 59 | .createSample(new Double( |
| 60 | calculateOperationForValues( |
| 61 | getDoubleValue(sleft), |
| 62 | getDoubleValue(sright))), sleft |
| 63 | .getProbability() |
| 64 | * sright.getProbability())); |
| 65 | } |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | Collections.sort(resultList, new ValueBasedComparator()); |
| 70 | |
| 71 | // join two samples with the same value |
| 72 | Iterator<ISample> iterator = resultList.iterator(); |
| 73 | if (iterator.hasNext()){ |
| 74 | ISample previousSample = iterator.next(); |
| 75 | while (iterator.hasNext()) { |
| 76 | ISample iSample = iterator.next(); |
| 77 | |
| 78 | if (iSample.getValue().equals(previousSample.getValue())){ |
| 79 | iterator.remove(); |
| 80 | previousSample.setProbability(previousSample.getProbability()+iSample.getProbability()); |
| 81 | } else { |
| 82 | previousSample = iSample; |
| 83 | } |
| 84 | |
| 85 | } |
| 86 | } |
| 87 | |
| 88 | return IProbabilityFunctionFactory.eINSTANCE |
| 89 | .createProbabilityMassFunction(resultList, resultUnit, |
| 90 | resultHasOrderedDomain); |
| 91 | |
| 92 | } |
| 93 | |
| 94 | private boolean isIntegerSample(IProbabilityMassFunction function) { |
| 95 | boolean isInteger = true; |
| 96 | |
| 97 | for (ISample sample : function.getSamples()) { |
| 98 | if (!(sample.getValue() instanceof Integer)){ |
| 99 | isInteger = false; |
| 100 | break; |
| 101 | } |
| 102 | } |
| 103 | return isInteger; |
| 104 | } |
| 105 | |
| 106 | private Double getDoubleValue(ISample sample) { |
| 107 | if (sample.getValue() instanceof Number){ |
| 108 | return ((Number)sample.getValue()).doubleValue(); |
| 109 | } else { |
| 110 | return Double.NaN; |
| 111 | } |
| 112 | |
| 113 | } |
| 114 | |
| 115 | public abstract int compute(int left, int right); |
| 116 | |
| 117 | public abstract double compute(double left, double right); |
| 118 | |
| 119 | public abstract IProbabilityMassFunction compute(IProbabilityMassFunction left, |
| 120 | double right) throws DomainNotNumbersException; |
| 121 | |
| 122 | public IProbabilityDensityFunction compute( |
| 123 | IProbabilityDensityFunction leftPDF, |
| 124 | IProbabilityDensityFunction rightPDF) |
| 125 | throws FunctionsInDifferenDomainsException, |
| 126 | UnknownPDFTypeException, IncompatibleUnitsException { |
| 127 | |
| 128 | throw new UnsupportedOperationException("StoEx does not support calculation with two PDFs, like multiplying two PDFs. " + |
| 129 | "Check whether you actually mean to do this. " + |
| 130 | "The left PDF to calculate with is "+leftPDF.toString()+ |
| 131 | ", the right is "+rightPDF.toString()); |
| 132 | |
| 133 | } |
| 134 | |
| 135 | protected abstract Double calculateOperationForValues(Double value1, Double value2); |
| 136 | |
| 137 | public abstract IProbabilityDensityFunction compute( |
| 138 | IProbabilityDensityFunction left, double right) |
| 139 | throws DomainNotNumbersException; |
| 140 | |
| 141 | } |
| 142 | |
| 143 | class ValueBasedComparator implements Comparator<ISample> { |
| 144 | |
| 145 | @SuppressWarnings("unchecked") |
| 146 | public int compare(ISample arg0, ISample arg1) { |
| 147 | Object value0 = arg0.getValue(); |
| 148 | Object value1 = arg1.getValue(); |
| 149 | |
| 150 | if (value0.getClass().isInstance(value1)) { |
| 151 | return ((Comparable) value0).compareTo(value1); |
| 152 | } else if (value1.getClass().isInstance(value0)) { |
| 153 | int result = ((Comparable) value1).compareTo(value0); |
| 154 | return result * -1; |
| 155 | } else if (value1 instanceof Number && value0 instanceof Number) { |
| 156 | Number number0 = (Number) value0; |
| 157 | Number number1 = (Number) value1; |
| 158 | |
| 159 | return new Double(number0.doubleValue()).compareTo(new Double( |
| 160 | number1.doubleValue())); |
| 161 | } else { |
| 162 | throw new DifferentDomainsException(); |
| 163 | } |
| 164 | } |
| 165 | |
| 166 | } |