- Timestamp:
- 10/23/16 19:33:03 (8 years ago)
- Location:
- trunk/sources
- Files:
-
- 2 deleted
- 49 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm/3.3/OffspringSelectionGeneticAlgorithmMainLoop.cs
r14353 r14354 162 162 Comparator maxSelectionPressureComparator = new Comparator(); 163 163 Comparator maxEvaluatedSolutionsComparator = new Comparator(); 164 Comparator maxSolutionQualityComparator = new Comparator();165 164 Placeholder comparisonFactorModifier = new Placeholder(); 166 165 Placeholder analyzer2 = new Placeholder(); … … 168 167 ConditionalBranch conditionalBranch2 = new ConditionalBranch(); 169 168 ConditionalBranch conditionalBranch3 = new ConditionalBranch(); 170 ConditionalBranch conditionalBranch4 = new ConditionalBranch();171 169 172 170 variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0))); // Class OffspringSelectionGeneticAlgorithm expects this to be called Generations … … 225 223 maxEvaluatedSolutionsComparator.RightSideParameter.ActualName = "MaximumEvaluatedSolutions"; 226 224 227 maxSolutionQualityComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);228 maxSolutionQualityComparator.LeftSideParameter.ActualName = "MaximumQuality";229 maxSolutionQualityComparator.ResultParameter.ActualName = "TerminateMaximumQuality";230 maxSolutionQualityComparator.RightSideParameter.ActualName = "BestQuality";231 232 225 comparisonFactorModifier.Name = "Update ComparisonFactor (placeholder)"; 233 226 comparisonFactorModifier.OperatorParameter.ActualName = ComparisonFactorModifierParameter.Name; … … 244 237 conditionalBranch3.Name = "MaximumEvaluatedSolutions reached?"; 245 238 conditionalBranch3.ConditionParameter.ActualName = "TerminateEvaluatedSolutions"; 246 247 conditionalBranch4.Name = "MaximumQuality reached?";248 conditionalBranch3.ConditionParameter.ActualName = "TerminateMaximumQuality";249 239 #endregion 250 240 … … 259 249 maxGenerationsComparator.Successor = maxSelectionPressureComparator; 260 250 maxSelectionPressureComparator.Successor = maxEvaluatedSolutionsComparator; 261 maxEvaluatedSolutionsComparator.Successor = maxSolutionQualityComparator; 262 maxSolutionQualityComparator.Successor = comparisonFactorModifier; 251 maxEvaluatedSolutionsComparator.Successor = comparisonFactorModifier; 263 252 comparisonFactorModifier.Successor = analyzer2; 264 253 analyzer2.Successor = conditionalBranch1; … … 269 258 conditionalBranch2.TrueBranch = null; 270 259 conditionalBranch2.Successor = null; 271 conditionalBranch3.FalseBranch = conditionalBranch4;260 conditionalBranch3.FalseBranch = mainOperator; 272 261 conditionalBranch3.TrueBranch = null; 273 262 conditionalBranch3.Successor = null; 274 conditionalBranch4.FalseBranch = mainOperator;275 conditionalBranch4.TrueBranch = null;276 conditionalBranch4.Successor = null;277 263 #endregion 278 264 } -
trunk/sources/HeuristicLab.Analysis/3.3/PopulationSimilarityAnalysis/PopulationSimilarityAnalyzer.cs
r14353 r14354 136 136 var similarityCalculators = SimilarityCalculatorParameter.ValidValues; 137 137 foreach (var similarityCalculator in similarityCalculators) { 138 if (similarityCalculator == null) continue;139 138 similarityCalculator.ExecuteInParallel = ExecuteInParallel; 140 139 similarityCalculator.MaxDegreeOfParallelism = MaxDegreeOfParallelism; -
trunk/sources/HeuristicLab.Clients.Hive.Slave/3.3/Manager/ConfigManager.cs
r14353 r14354 70 70 slave.Name = Environment.MachineName; 71 71 if (Settings.Default.NrOfCoresToScavenge < 1 || Settings.Default.NrOfCoresToScavenge > Environment.ProcessorCount) { 72 slave.Cores = Environment.ProcessorCount / 2;72 slave.Cores = Environment.ProcessorCount; 73 73 } else { 74 74 slave.Cores = Settings.Default.NrOfCoresToScavenge; -
trunk/sources/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding/3.4/Grammars/GrammarUtils.cs
r14353 r14354 66 66 continue; 67 67 68 if (visited.Add(childSymbol)) 68 if (visited.Add(childSymbol)) { 69 69 numberedSymbols.Add(Tuple.Create(childSymbol, ++index)); 70 } 70 71 } 71 72 } … … 87 88 minLength = Math.Min(minLength, oldLength); 88 89 minimumExpressionLengths[symbol.Name] = (int)Math.Min(int.MaxValue, minLength); 89 }90 // correction step for cycles91 bool changed = true;92 while (changed) {93 changed = false;94 foreach (var symbol in numberedSymbols.Select(x => x.Item1)) {95 long minLength = Enumerable.Range(0, grammar.GetMinimumSubtreeCount(symbol))96 .Sum(x => grammar.GetAllowedChildSymbols(symbol, x)97 .Min(s => (long)minimumExpressionLengths[s.Name])) + 1;98 if (minLength < minimumExpressionLengths[symbol.Name]) {99 minimumExpressionLengths[symbol.Name] = (int)Math.Min(minLength, int.MaxValue);100 changed = true;101 }102 }103 90 } 104 91 } … … 134 121 continue; 135 122 136 if (visited.Add(childSymbol)) 123 if (visited.Add(childSymbol)) { 137 124 numberedSymbols.Add(Tuple.Create(childSymbol, ++index)); 125 } 138 126 } 139 127 } … … 144 132 // going bottom-up (reverse breadth order), we ensure depths are calculated bottom-up 145 133 foreach (var symbol in numberedSymbols.Select(x => x.Item1)) { 146 long minDepth = -1;134 long minDepth = int.MaxValue; 147 135 for (int argIndex = 0; argIndex < grammar.GetMinimumSubtreeCount(symbol); ++argIndex) { 148 136 long depth = grammar.GetAllowedChildSymbols(symbol, argIndex) 149 137 .Where(x => minimumExpressionDepths.ContainsKey(x.Name)) 150 .Select(x => (long)minimumExpressionDepths[x.Name]).DefaultIfEmpty(int.MaxValue).Min() + 1;151 minDepth = Math.M ax(minDepth, depth);138 .Select(x => minimumExpressionDepths[x.Name]).DefaultIfEmpty(int.MaxValue).Min(); 139 minDepth = Math.Min(minDepth, depth + 1); 152 140 } 153 141 int oldDepth; … … 155 143 minDepth = Math.Min(minDepth, oldDepth); 156 144 minimumExpressionDepths[symbol.Name] = (int)Math.Min(int.MaxValue, minDepth); 157 }158 // correction step for cycles159 bool changed = true;160 while (changed) {161 changed = false;162 foreach (var symbol in numberedSymbols.Select(x => x.Item1)) {163 long minDepth = Enumerable.Range(0, grammar.GetMinimumSubtreeCount(symbol))164 .Max(x => grammar.GetAllowedChildSymbols(symbol, x)165 .Min(s => (long)minimumExpressionDepths[s.Name])) + 1;166 if (minDepth < minimumExpressionDepths[symbol.Name]) {167 minimumExpressionDepths[symbol.Name] = (int)Math.Min(minDepth, int.MaxValue);168 changed = true;169 }170 }171 145 } 172 146 } -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs
r14353 r14354 70 70 } 71 71 if (errorState != OnlineCalculatorError.None) return double.NaN; 72 return r *r;72 return r*r; 73 73 } 74 74 -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPhenotypicDiversityAnalyzer.cs
r14353 r14354 42 42 private const string ProblemDataParameterName = "ProblemData"; 43 43 private const string EstimationLimitsParameterName = "EstimationLimits"; 44 private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";45 44 #endregion 46 45 … … 61 60 get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; } 62 61 } 63 public ILookupParameter<BoolValue> ApplyLinearScalingParameter {64 get { return (ILookupParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }65 }66 62 #endregion 67 63 … … 74 70 Parameters.Add(new ValueLookupParameter<IRegressionProblemData>(ProblemDataParameterName, "The problem data on which the symbolic data analysis solution should be evaluated.")); 75 71 Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The upper and lower limit that should be used as cut off value for the output values of symbolic data analysis trees.")); 76 Parameters.Add(new LookupParameter<BoolValue>(ApplyLinearScalingParameterName, "Whether or not to apply linear scaling to the estimated values"));77 72 #endregion 78 73 … … 84 79 protected SymbolicRegressionPhenotypicDiversityAnalyzer(bool deserializing) 85 80 : base(deserializing) { 86 }87 88 [StorableHook(HookType.AfterDeserialization)]89 private void AfterDeserialization() {90 if (!Parameters.ContainsKey(ApplyLinearScalingParameterName))91 Parameters.Add(new LookupParameter<BoolValue>(ApplyLinearScalingParameterName, "Whether or not to apply linear scaling to the estimated values"));92 81 } 93 82 … … 109 98 } 110 99 111 if (updateCounter.Value != updateInterval) return base.Apply(); 112 113 var scopes = ExecutionContext.Scope.SubScopes; 114 var applyLinearScaling = ApplyLinearScalingParameter.ActualValue.Value; 115 116 foreach (var scope in scopes.Where(x => !x.Variables.ContainsKey("EstimatedValues"))) { 117 var tree = (ISymbolicExpressionTree)scope.Variables["SymbolicExpressionTree"].Value; 100 if (updateCounter.Value == updateInterval) { 101 var trees = SymbolicExpressionTreeParameter.ActualValue; 118 102 var interpreter = SymbolicDataAnalysisTreeInterpreterParameter.ActualValue; 119 103 var ds = ProblemDataParameter.ActualValue.Dataset; 120 104 var rows = ProblemDataParameter.ActualValue.TrainingIndices; 121 var estimatedValues = interpreter.GetSymbolicExpressionTreeValues(tree, ds, rows).ToArray();122 105 123 var estimationLimits = EstimationLimitsParameter.ActualValue; 124 125 if (applyLinearScaling) { 126 var linearScalingCalculator = new OnlineLinearScalingParameterCalculator(); 127 var targetValues = ds.GetDoubleValues(ProblemDataParameter.ActualValue.TargetVariable, rows); 128 int i = 0; 129 foreach (var target in targetValues) { 130 var estimated = estimatedValues[i]; 131 if (!double.IsNaN(estimated) && !double.IsInfinity(estimated)) 132 linearScalingCalculator.Add(estimated, target); 133 i++; 134 } 135 if (linearScalingCalculator.ErrorState == OnlineCalculatorError.None) { 136 var alpha = linearScalingCalculator.Alpha; 137 var beta = linearScalingCalculator.Beta; 138 for (i = 0; i < estimatedValues.Length; ++i) { 139 estimatedValues[i] = estimatedValues[i] * beta + alpha; 140 } 141 } 142 } 143 // add estimated values to escope 144 scope.Variables.Add(new Core.Variable("EstimatedValues", new DoubleArray(estimatedValues.LimitToRange(estimationLimits.Lower, estimationLimits.Upper).ToArray()))); 106 var evaluatedValues = new ItemArray<DoubleArray>(trees.Select(t => new DoubleArray(interpreter.GetSymbolicExpressionTreeValues(t, ds, rows).ToArray()))); 107 EvaluatedValuesParameter.ActualValue = evaluatedValues; 145 108 } 146 109 return base.Apply(); -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/TreeMatching/SymbolicExpressionTreeBottomUpSimilarityCalculator.cs
r14353 r14354 61 61 } 62 62 63 public static double CalculateBottomUpSimilarity(ISymbolicExpressionTree t1, ISymbolicExpressionTree t2) {64 return new SymbolicExpressionTreeBottomUpSimilarityCalculator().CalculateSimilarity(t1, t2);65 }66 67 63 public override double CalculateSolutionSimilarity(IScope leftSolution, IScope rightSolution) { 68 64 if (leftSolution == rightSolution) … … 77 73 var similarity = CalculateSimilarity(t1, t2); 78 74 if (similarity > 1.0) 79 throw new Exception("Similarity value " + similarity + "cannot be greater than 1");75 throw new Exception("Similarity value cannot be greater than 1"); 80 76 81 77 return similarity; -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/TreeMatching/SymbolicExpressionTreePhenotypicSimilarityCalculator.cs
r14353 r14354 92 92 93 93 var r2 = error == OnlineCalculatorError.None ? r * r : 0; 94 95 if (r2 > 1.0) 96 r2 = 1.0; 97 94 98 return r2; 95 99 } -
trunk/sources/HeuristicLab.Problems.GrammaticalEvolution/3.4/HeuristicLab.Problems.GrammaticalEvolution-3.4.csproj
r14353 r14354 252 252 </ProjectReference> 253 253 </ItemGroup> 254 <ItemGroup>255 <Content Include="ArtificialAnt\GEArtificialAntEvaluator.cs" />256 </ItemGroup>257 254 <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" /> 258 255 <PropertyGroup> -
trunk/sources/HeuristicLab.Tests/HeuristicLab-3.3/ContentViewTests.cs
r14353 r14354 24 24 using HeuristicLab.Common; 25 25 using HeuristicLab.MainForm; 26 using HeuristicLab.MainForm.WindowsForms; 26 27 using HeuristicLab.PluginInfrastructure; 27 28 using Microsoft.VisualStudio.TestTools.UnitTesting; -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.BinaryVectorEncoding-3.3/NPointCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Data; 24 23 using HeuristicLab.Tests; … … 32 31 [TestClass()] 33 32 public class NPointCrossoverTest { 34 /// <summary>35 ///A test for Cross36 ///</summary>37 [TestMethod]38 [TestCategory("Encodings.BinaryVector")]39 [TestProperty("Time", "short")]40 public void NPointCrossoverCrossTest() {41 var privateObject = new PrivateObject(typeof(NPointCrossover));42 ItemArray<BinaryVector> parents;43 TestRandom random = new TestRandom();44 bool exceptionFired;45 // The following test checks if there is an exception when there are more than 2 parents46 random.Reset();47 parents = new ItemArray<BinaryVector>(new BinaryVector[] { new BinaryVector(5), new BinaryVector(6), new BinaryVector(4) });48 exceptionFired = false;49 try {50 var actual = (BinaryVector)privateObject.Invoke("Cross", random, parents);51 }52 catch (System.ArgumentException) {53 exceptionFired = true;54 }55 Assert.IsTrue(exceptionFired);56 // The following test checks if there is an exception when there are less than 2 parents57 random.Reset();58 parents = new ItemArray<BinaryVector>(new BinaryVector[] { new BinaryVector(4) });59 exceptionFired = false;60 try {61 var actual = (BinaryVector)privateObject.Invoke("Cross", random, parents);62 }63 catch (System.ArgumentException) {64 exceptionFired = true;65 }66 Assert.IsTrue(exceptionFired);67 }68 69 33 /// <summary> 70 34 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.BinaryVectorEncoding-3.3/UniformCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class UniformCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.BinaryVector")]38 [TestProperty("Time", "short")]39 public void SinglePointCrossoverCrossTest() {40 var target = new PrivateObject(typeof(UniformCrossover));41 ItemArray<BinaryVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are more than 2 parents45 random.Reset();46 parents = new ItemArray<BinaryVector>(new BinaryVector[] { new BinaryVector(5), new BinaryVector(6), new BinaryVector(4) });47 exceptionFired = false;48 try {49 BinaryVector actual;50 actual = (BinaryVector)target.Invoke("Cross", random, parents);51 }52 catch (System.ArgumentException) {53 exceptionFired = true;54 }55 Assert.IsTrue(exceptionFired);56 // The following test checks if there is an exception when there are less than 2 parents57 random.Reset();58 parents = new ItemArray<BinaryVector>(new BinaryVector[] { new BinaryVector(4) });59 exceptionFired = false;60 try {61 BinaryVector actual;62 actual = (BinaryVector)target.Invoke("Cross", random, parents);63 }64 catch (System.ArgumentException) {65 exceptionFired = true;66 }67 Assert.IsTrue(exceptionFired);68 }69 70 32 /// <summary> 71 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.IntegerVectorEncoding-3.3/DiscreteCrossoverTest.cs
r14353 r14354 31 31 [TestClass()] 32 32 public class DiscreteCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.IntegerVector")]38 [TestProperty("Time", "short")]39 public void DiscreteCrossoverCrossTest() {40 var privateObject = new PrivateObject(typeof(DiscreteCrossover));41 ItemArray<IntegerVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are less than 2 parents45 random.Reset();46 parents = new ItemArray<IntegerVector>(new IntegerVector[] { new IntegerVector(4) });47 exceptionFired = false;48 try {49 var actual = (IntegerVector)privateObject.Invoke("Cross", random, parents);50 }51 catch (System.ArgumentException) {52 exceptionFired = true;53 }54 Assert.IsTrue(exceptionFired);55 }56 57 33 /// <summary> 58 34 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.IntegerVectorEncoding-3.3/SinglePointCrossoverTest.cs
r14353 r14354 38 38 [TestProperty("Time", "short")] 39 39 public void SinglePointCrossoverCrossTest() { 40 var privateObject = new PrivateObject(typeof(SinglePointCrossover));40 var target = new PrivateObject(typeof(SinglePointCrossover)); 41 41 ItemArray<IntegerVector> parents; 42 42 TestRandom random = new TestRandom(); … … 47 47 exceptionFired = false; 48 48 try { 49 var actual = (IntegerVector)privateObject.Invoke("Cross", random, parents); 49 IntegerVector actual; 50 actual = (IntegerVector)target.Invoke("Cross", random, parents); 50 51 } 51 52 catch (System.ArgumentException) { … … 58 59 exceptionFired = false; 59 60 try { 60 var actual = (IntegerVector)privateObject.Invoke("Cross", random, parents); 61 IntegerVector actual; 62 actual = (IntegerVector)target.Invoke("Cross", random, parents); 61 63 } 62 64 catch (System.ArgumentException) { -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/CosaCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class CosaCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void CosaCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(CosaCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/CyclicCrossover2Test.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class CyclicCrossover2Test { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void CyclicCrossover2CrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(CyclicCrossover2));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/CyclicCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class CyclicCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void CyclicCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(CyclicCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/EdgeRecombinationCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class EdgeRecombinationCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void EdgeRecombinationCrossoverCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(EdgeRecombinationCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/MaximalPreservativeCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class MaximalPreservativeCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void MaximalPreservativeCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(MaximalPreservativeCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/OrderBasedCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class OrderBasedCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void OrderBasedCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(OrderBasedCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/OrderCrossover2Test.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class OrderCrossover2Test { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void OrderCrossover2CrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(OrderCrossover2));42 random.Reset();43 bool exceptionFired = false;44 try {45 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {46 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));47 }48 catch (System.InvalidOperationException) {49 exceptionFired = true;50 }51 Assert.IsTrue(exceptionFired);52 }53 54 32 /// <summary> 55 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/OrderCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class OrderCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void OrderCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(OrderCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/PartiallyMatchedCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class PartiallyMatchedCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void PartiallyMatchedCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(PartiallyMatchedCrossover));42 // perform a test with more than two parents43 random.Reset();44 bool exceptionFired = false;45 try {46 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {47 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));48 }49 catch (System.InvalidOperationException) {50 exceptionFired = true;51 }52 Assert.IsTrue(exceptionFired);53 }54 55 32 /// <summary> 56 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/PositionBasedCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class PositionBasedCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod]37 [TestCategory("Encodings.Permutation")]38 [TestProperty("Time", "short")]39 public void PositionBasedCrossoverCrossTest() {40 TestRandom random = new TestRandom();41 var privateObject = new PrivateObject(typeof(PositionBasedCrossover));42 43 // perform a test with more than two parents44 random.Reset();45 bool exceptionFired = false;46 try {47 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {48 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4) }));49 }50 catch (System.InvalidOperationException) {51 exceptionFired = true;52 }53 Assert.IsTrue(exceptionFired);54 }55 56 32 /// <summary> 57 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.PermutationEncoding-3.3/UniformLikeCrossoverTest.cs
r14353 r14354 54 54 Assert.IsTrue(Auxiliary.PermutationIsEqualByPosition(expected, actual)); 55 55 } 56 57 /// <summary>58 ///A test for Cross59 ///</summary>60 [TestMethod]61 [TestCategory("Encodings.Permutation")]62 [TestProperty("Time", "short")]63 public void UniformLikeCrossoverCrossTest() {64 var privateObject = new PrivateObject(typeof(UniformLikeCrossover));65 IRandom random = new TestRandom(new int[] { }, new double[] { 0.1, 0.2, 0.3, 0.4 });66 random.Reset();67 bool exceptionFired = false;68 try {69 privateObject.Invoke("Cross", random, new ItemArray<Permutation>(new Permutation[] {70 71 new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4), new Permutation(PermutationTypes.RelativeUndirected, 4)}));72 }73 catch (System.InvalidOperationException) {74 exceptionFired = true;75 }76 Assert.IsTrue(exceptionFired);77 }78 56 } 79 57 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/BlendAlphaBetaCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Data; 24 23 using HeuristicLab.Tests; … … 32 31 [TestClass()] 33 32 public class BlendAlphaBetaCrossoverTest { 34 /// <summary>35 ///A test for Cross36 ///</summary>37 [TestMethod()]38 [TestCategory("Encodings.RealVector")]39 [TestProperty("Time", "short")]40 public void BlendAlphaBetaCrossoverCrossTest() {41 var privateObject = new PrivateObject(typeof(BlendAlphaBetaCrossover));42 ItemArray<RealVector> parents;43 TestRandom random = new TestRandom();44 bool exceptionFired;45 // The following test checks if there is an exception when there are more than 2 parents46 random.Reset();47 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });48 exceptionFired = false;49 try {50 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);51 }52 catch (System.ArgumentException) {53 exceptionFired = true;54 }55 Assert.IsTrue(exceptionFired);56 // The following test checks if there is an exception when there are less than 2 parents57 random.Reset();58 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });59 exceptionFired = false;60 try {61 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);62 }63 catch (System.ArgumentException) {64 exceptionFired = true;65 }66 Assert.IsTrue(exceptionFired);67 }68 69 33 /// <summary> 70 34 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/BlendAlphaCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Data; 24 23 using HeuristicLab.Tests; … … 32 31 [TestClass()] 33 32 public class BlendAlphaCrossoverTest { 34 /// <summary>35 ///A test for Cross36 ///</summary>37 [TestMethod()]38 [TestCategory("Encodings.RealVector")]39 [TestProperty("Time", "short")]40 public void BlendAlphaCrossoverCrossTest() {41 var privateObject = new PrivateObject(typeof(BlendAlphaCrossover));42 ItemArray<RealVector> parents;43 TestRandom random = new TestRandom();44 bool exceptionFired;45 // The following test checks if there is an exception when there are more than 2 parents46 random.Reset();47 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });48 exceptionFired = false;49 try {50 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);51 }52 catch (System.ArgumentException) {53 exceptionFired = true;54 }55 Assert.IsTrue(exceptionFired);56 // The following test checks if there is an exception when there are less than 2 parents57 random.Reset();58 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });59 exceptionFired = false;60 try {61 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);62 }63 catch (System.ArgumentException) {64 exceptionFired = true;65 }66 Assert.IsTrue(exceptionFired);67 }68 69 33 /// <summary> 70 34 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/DiscreteCrossoverTest.cs
r14353 r14354 31 31 [TestClass()] 32 32 public class DiscreteCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod()]37 [TestCategory("Encodings.RealVector")]38 [TestProperty("Time", "short")]39 public void DiscreteCrossoverCrossTest() {40 var privateObject = new PrivateObject(typeof(DiscreteCrossover));41 ItemArray<RealVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are less than 2 parents45 random.Reset();46 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });47 exceptionFired = false;48 try {49 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);50 }51 catch (System.ArgumentException) {52 exceptionFired = true;53 }54 Assert.IsTrue(exceptionFired);55 }56 57 33 /// <summary> 58 34 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/HeuristicCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class HeuristicCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod()]37 [TestCategory("Encodings.RealVector")]38 [TestProperty("Time", "short")]39 public void HeuristicCrossoverCrossTest() {40 var privateObject = new PrivateObject(typeof(HeuristicCrossover));41 ItemArray<RealVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are more than 2 parents45 random.Reset();46 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });47 exceptionFired = false;48 try {49 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);50 }51 catch (System.ArgumentException) {52 exceptionFired = true;53 }54 Assert.IsTrue(exceptionFired);55 // The following test checks if there is an exception when there are less than 2 parents56 random.Reset();57 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });58 exceptionFired = false;59 try {60 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);61 }62 catch (System.ArgumentException) {63 exceptionFired = true;64 }65 Assert.IsTrue(exceptionFired);66 }67 68 32 /// <summary> 69 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/LocalCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class LocalCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod()]37 [TestCategory("Encodings.RealVector")]38 [TestProperty("Time", "short")]39 public void LocalCrossoverCrossTest() {40 var privateObject = new PrivateObject(typeof(LocalCrossover));41 ItemArray<RealVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are more than 2 parents45 random.Reset();46 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });47 exceptionFired = false;48 try {49 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);50 }51 catch (System.ArgumentException) {52 exceptionFired = true;53 }54 Assert.IsTrue(exceptionFired);55 // The following test checks if there is an exception when there are less than 2 parents56 random.Reset();57 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });58 exceptionFired = false;59 try {60 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);61 }62 catch (System.ArgumentException) {63 exceptionFired = true;64 }65 Assert.IsTrue(exceptionFired);66 }67 68 32 /// <summary> 69 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/RandomConvexCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class RandomConvexCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod()]37 [TestCategory("Encodings.RealVector")]38 [TestProperty("Time", "short")]39 public void RandomConvexCrossoverCrossTest() {40 var privateObject = new PrivateObject(typeof(RandomConvexCrossover));41 ItemArray<RealVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are more than 2 parents45 random.Reset();46 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });47 exceptionFired = false;48 try {49 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);50 }51 catch (System.ArgumentException) {52 exceptionFired = true;53 }54 Assert.IsTrue(exceptionFired);55 // The following test checks if there is an exception when there are less than 2 parents56 random.Reset();57 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });58 exceptionFired = false;59 try {60 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);61 }62 catch (System.ArgumentException) {63 exceptionFired = true;64 }65 Assert.IsTrue(exceptionFired);66 }67 68 32 /// <summary> 69 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/SimulatedBinaryCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Data; 24 23 using HeuristicLab.Tests; … … 32 31 [TestClass()] 33 32 public class SimulatedBinaryCrossoverTest { 34 /// <summary>35 ///A test for Cross36 ///</summary>37 [TestMethod()]38 [TestCategory("Encodings.RealVector")]39 [TestProperty("Time", "short")]40 public void SimulatedBinaryCrossoverCrossTest() {41 var privateObject = new PrivateObject(typeof(SimulatedBinaryCrossover));42 ItemArray<RealVector> parents;43 TestRandom random = new TestRandom();44 bool exceptionFired;45 // The following test checks if there is an exception when there are more than 2 parents46 random.Reset();47 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });48 exceptionFired = false;49 try {50 RealVector actual = (RealVector)privateObject.Invoke("Cross", random, parents);51 }52 catch (System.ArgumentException) {53 exceptionFired = true;54 }55 Assert.IsTrue(exceptionFired);56 // The following test checks if there is an exception when there are less than 2 parents57 random.Reset();58 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });59 exceptionFired = false;60 try {61 RealVector actual = (RealVector)privateObject.Invoke("Cross", random, parents);62 }63 catch (System.ArgumentException) {64 exceptionFired = true;65 }66 Assert.IsTrue(exceptionFired);67 }68 69 33 /// <summary> 70 34 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.RealVectorEncoding-3.3/SinglePointCrossoverTest.cs
r14353 r14354 20 20 #endregion 21 21 22 using HeuristicLab.Core;23 22 using HeuristicLab.Tests; 24 23 using Microsoft.VisualStudio.TestTools.UnitTesting; … … 31 30 [TestClass()] 32 31 public class SinglePointCrossoverTest { 33 /// <summary>34 ///A test for Cross35 ///</summary>36 [TestMethod()]37 [TestCategory("Encodings.RealVector")]38 [TestProperty("Time", "short")]39 public void SinglePointCrossoverCrossTest() {40 var privateObject = new PrivateObject(typeof(SinglePointCrossover));41 ItemArray<RealVector> parents;42 TestRandom random = new TestRandom();43 bool exceptionFired;44 // The following test checks if there is an exception when there are more than 2 parents45 random.Reset();46 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(5), new RealVector(6), new RealVector(4) });47 exceptionFired = false;48 try {49 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);50 }51 catch (System.ArgumentException) {52 exceptionFired = true;53 }54 Assert.IsTrue(exceptionFired);55 // The following test checks if there is an exception when there are less than 2 parents56 random.Reset();57 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(4) });58 exceptionFired = false;59 try {60 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);61 }62 catch (System.ArgumentException) {63 exceptionFired = true;64 }65 Assert.IsTrue(exceptionFired);66 // The following test checks if there is an exception when the vector has just one dimension67 random.Reset();68 parents = new ItemArray<RealVector>(new RealVector[] { new RealVector(1) });69 exceptionFired = false;70 try {71 var actual = (RealVector)privateObject.Invoke("Cross", random, parents);72 }73 catch (System.ArgumentException) {74 exceptionFired = true;75 }76 Assert.IsTrue(exceptionFired);77 }78 79 32 /// <summary> 80 33 ///A test for Apply -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4/GrammarsTest.cs
r14353 r14354 86 86 Assert.AreEqual(3, grammar.GetMinimumExpressionLength(x)); 87 87 Assert.AreEqual(2, grammar.GetMinimumExpressionLength(y)); 88 }89 90 {91 var grammar = CreateTestGrammar6();92 var prs = grammar.ProgramRootSymbol;93 var ss = grammar.StartSymbol;94 var x = grammar.Symbols.First(s => s.Name == "<x>");95 var s_ = grammar.Symbols.First(s => s.Name == "<s>");96 var a = grammar.Symbols.First(s => s.Name == "<a>");97 var b = grammar.Symbols.First(s => s.Name == "<b>");98 var c = grammar.Symbols.First(s => s.Name == "<c>");99 var d = grammar.Symbols.First(s => s.Name == "<d>");100 Assert.AreEqual(4, grammar.GetMinimumExpressionLength(prs));101 Assert.AreEqual(3, grammar.GetMinimumExpressionLength(ss));102 Assert.AreEqual(2, grammar.GetMinimumExpressionLength(x));103 Assert.AreEqual(5, grammar.GetMinimumExpressionLength(s_));104 Assert.AreEqual(4, grammar.GetMinimumExpressionLength(a));105 Assert.AreEqual(3, grammar.GetMinimumExpressionLength(b));106 Assert.AreEqual(4, grammar.GetMinimumExpressionLength(c));107 Assert.AreEqual(3, grammar.GetMinimumExpressionLength(d));108 88 } 109 89 } … … 190 170 Assert.AreEqual(2, grammar.GetMinimumExpressionDepth(y)); 191 171 } 192 193 {194 var grammar = CreateTestGrammar6();195 var prs = grammar.ProgramRootSymbol;196 var ss = grammar.StartSymbol;197 var x = grammar.Symbols.First(s => s.Name == "<x>");198 var s_ = grammar.Symbols.First(s => s.Name == "<s>");199 var a = grammar.Symbols.First(s => s.Name == "<a>");200 var b = grammar.Symbols.First(s => s.Name == "<b>");201 var c = grammar.Symbols.First(s => s.Name == "<c>");202 var d = grammar.Symbols.First(s => s.Name == "<d>");203 Assert.AreEqual(4, grammar.GetMinimumExpressionDepth(prs));204 Assert.AreEqual(3, grammar.GetMinimumExpressionDepth(ss));205 Assert.AreEqual(2, grammar.GetMinimumExpressionDepth(x));206 Assert.AreEqual(5, grammar.GetMinimumExpressionDepth(s_));207 Assert.AreEqual(4, grammar.GetMinimumExpressionDepth(a));208 Assert.AreEqual(3, grammar.GetMinimumExpressionDepth(b));209 Assert.AreEqual(4, grammar.GetMinimumExpressionDepth(c));210 Assert.AreEqual(3, grammar.GetMinimumExpressionDepth(d));211 }212 172 } 213 173 … … 326 286 return grammar; 327 287 } 328 329 private static ISymbolicExpressionGrammar CreateTestGrammar6() {330 var grammar = new SimpleSymbolicExpressionGrammar();331 var x = new SimpleSymbol("<x>", 1);332 var s = new SimpleSymbol("<s>", 1);333 var a = new SimpleSymbol("<a>", 1);334 var b = new SimpleSymbol("<b>", 1);335 var c = new SimpleSymbol("<c>", 1);336 var d = new SimpleSymbol("<d>", 1);337 var e = new SimpleSymbol("<e>", 1);338 339 var _x = new SimpleSymbol("x", 0);340 var _y = new SimpleSymbol("y", 0);341 342 grammar.AddSymbol(x);343 grammar.AddSymbol(s);344 grammar.AddSymbol(a);345 grammar.AddSymbol(b);346 grammar.AddSymbol(c);347 grammar.AddSymbol(d);348 grammar.AddSymbol(e);349 grammar.AddSymbol(_x);350 grammar.AddSymbol(_y);351 352 grammar.AddAllowedChildSymbol(grammar.StartSymbol, x);353 grammar.AddAllowedChildSymbol(x, s);354 grammar.AddAllowedChildSymbol(x, _x);355 grammar.AddAllowedChildSymbol(s, a);356 grammar.AddAllowedChildSymbol(a, b);357 grammar.AddAllowedChildSymbol(a, c);358 grammar.AddAllowedChildSymbol(b, x);359 grammar.AddAllowedChildSymbol(c, d);360 grammar.AddAllowedChildSymbol(d, e);361 grammar.AddAllowedChildSymbol(e, _y);362 363 return grammar;364 }365 288 } 366 289 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4/SymbolicDataAnalysisExpressionTreeInterpreterTest.cs
r14353 r14354 33 33 public class SymbolicDataAnalysisExpressionTreeInterpreterTest { 34 34 private const int N = 1000; 35 private const int Rows = 5000;35 private const int Rows = 1000; 36 36 private const int Columns = 50; 37 37 … … 73 73 [TestCategory("Problems.DataAnalysis.Symbolic")] 74 74 [TestProperty("Time", "long")] 75 public void CompiledInterpreterTestTypeCoherentGrammarPerformance() { 76 TestTypeCoherentGrammarPerformance(new SymbolicDataAnalysisExpressionCompiledTreeInterpreter(), 12.5e6); 77 } 78 [TestMethod] 79 [TestCategory("Problems.DataAnalysis.Symbolic")] 80 [TestProperty("Time", "long")] 81 public void CompiledInterpreterTestFullGrammarPerformance() { 82 TestFullGrammarPerformance(new SymbolicDataAnalysisExpressionCompiledTreeInterpreter(), 12.5e6); 83 } 84 [TestMethod] 85 [TestCategory("Problems.DataAnalysis.Symbolic")] 86 [TestProperty("Time", "long")] 87 public void CompiledInterpreterTestArithmeticGrammarPerformance() { 88 TestArithmeticGrammarPerformance(new SymbolicDataAnalysisExpressionCompiledTreeInterpreter(), 12.5e6); 89 } 90 91 [TestMethod] 92 [TestCategory("Problems.DataAnalysis.Symbolic")] 93 [TestProperty("Time", "long")] 75 94 public void ILEmittingInterpreterTestTypeCoherentGrammarPerformance() { 76 95 TestTypeCoherentGrammarPerformance(new SymbolicDataAnalysisExpressionTreeILEmittingInterpreter(), 7.5e6); … … 166 185 [TestCategory("Problems.DataAnalysis.Symbolic")] 167 186 [TestProperty("Time", "short")] 187 public void CompiledInterpreterTestEvaluation() { 188 var interpreter = new SymbolicDataAnalysisExpressionCompiledTreeInterpreter(); 189 // ADFs are not supported by the compiled tree interpreter 190 EvaluateTerminals(interpreter, ds); 191 EvaluateOperations(interpreter, ds); 192 EvaluateSpecialFunctions(interpreter, ds); 193 } 194 195 [TestMethod] 196 [TestCategory("Problems.DataAnalysis.Symbolic")] 197 [TestProperty("Time", "short")] 168 198 public void LinearInterpreterTestEvaluation() { 169 199 var interpreter = new SymbolicDataAnalysisExpressionTreeLinearInterpreter(); … … 239 269 240 270 var interpreters = new ISymbolicDataAnalysisExpressionTreeInterpreter[] { 271 new SymbolicDataAnalysisExpressionCompiledTreeInterpreter(), 241 272 new SymbolicDataAnalysisExpressionTreeInterpreter(), 242 273 new SymbolicDataAnalysisExpressionTreeLinearInterpreter(), -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.DataAnalysis.Symbolic-3.4/SymbolicExpressionTreeBottomUpSimilarityCalculatorTest.cs
r14353 r14354 15 15 16 16 public BottomUpSimilarityCalculatorTest() { 17 busCalculator = new SymbolicExpressionTreeBottomUpSimilarityCalculator { 18 // MatchConstantValues = true, 19 // MatchVariableWeights = true 20 }; 17 busCalculator = new SymbolicExpressionTreeBottomUpSimilarityCalculator(); 21 18 importer = new SymbolicExpressionImporter(); 22 19 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/AckleyEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void AckleyEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(AckleyEvaluator));39 AckleyEvaluator target = new AckleyEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/BealeEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void BealeEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(BealeEvaluator));39 BealeEvaluator target = new BealeEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/BoothEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void BoothEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(BoothEvaluator));39 BoothEvaluator target = new BoothEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/GriewankEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void GriewankEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(GriewankEvaluator));39 GriewankEvaluator target = new GriewankEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/LevyEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void LevyEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(LevyEvaluator));39 LevyEvaluator target = new LevyEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/MatyasEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void MatyasEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(MatyasEvaluator));39 MatyasEvaluator target = new MatyasEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/RastriginEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void RastriginEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(RastriginEvaluator));39 RastriginEvaluator target = new RastriginEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/RosenbrockEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void RosenbrockEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(RosenbrockEvaluator));39 RosenbrockEvaluator target = new RosenbrockEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/SphereEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void SphereEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(SphereEvaluator));39 SphereEvaluator target = new SphereEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/SumSquaresEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void SumSquaresEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(SumSquaresEvaluator));39 SumSquaresEvaluator target = new SumSquaresEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Problems.TestFunctions-3.3/ZakharovEvaluatorTest.cs
r14353 r14354 37 37 [TestProperty("Time", "short")] 38 38 public void ZakharovEvaluateFunctionTest() { 39 var privateObject = new PrivateObject(typeof(ZakharovEvaluator));39 ZakharovEvaluator target = new ZakharovEvaluator(); 40 40 RealVector point = null; 41 double expected = (double)privateObject.GetProperty("BestKnownQuality");41 double expected = target.BestKnownQuality; 42 42 double actual; 43 int minimumProblemSize = (int)privateObject.GetProperty("MinimumProblemSize"); 44 int maximumProblemSize = (int)privateObject.GetProperty("MaximumProblemSize"); 45 for (int dimension = minimumProblemSize; dimension <= System.Math.Min(10, maximumProblemSize); dimension++) { 46 point = (RealVector)privateObject.Invoke("GetBestKnownSolution", dimension); 47 actual = (double)privateObject.Invoke("Evaluate", point); 43 for (int dimension = target.MinimumProblemSize; dimension <= System.Math.Min(10, target.MaximumProblemSize); dimension++) { 44 point = target.GetBestKnownSolution(dimension); 45 actual = target.Evaluate(point); 48 46 Assert.AreEqual(expected, actual); 49 47 } -
trunk/sources/HeuristicLab.Tests/HeuristicLab.Tests.csproj
r14353 r14354 500 500 <Compile Include="HeuristicLab.Collections-3.3\BidirectionalLookupTest.cs" /> 501 501 <Compile Include="HeuristicLab.Collections-3.3\ObservableKeyedListTest.cs" /> 502 <Compile Include="HeuristicLab.Common-3.3\EnumerableStatisticExtensions.cs" /> 502 503 <Compile Include="HeuristicLab.Encodings.BinaryVectorEncoding-3.3\Auxiliary.cs" /> 503 504 <Compile Include="HeuristicLab.Encodings.BinaryVectorEncoding-3.3\NPointCrossoverTest.cs" /> … … 573 574 <Compile Include="HeuristicLab.Problems.DataAnalysis-3.4\OnlineCalculatorPerformanceTest.cs" /> 574 575 <Compile Include="HeuristicLab.Problems.DataAnalysis-3.4\StatisticCalculatorsTest.cs" /> 575 <Compile Include="HeuristicLab.Problems.DataAnalysis.Symbolic-3.4\ DoubleConverter.cs" />576 <Compile Include="HeuristicLab.Problems.DataAnalysis.Symbolic-3.4\InfixExpressionParserTest.cs" /> 576 577 <Compile Include="HeuristicLab.Problems.DataAnalysis.Symbolic-3.4\SymbolicExpressionTreeBottomUpSimilarityCalculatorTest.cs" /> 577 578 <Compile Include="HeuristicLab.Problems.DataAnalysis.Symbolic-3.4\SymbolicExpressionTreeMaxCommonSubtreeSimilarityCalculatorTest.cs" /> … … 684 685 </EmbeddedResource> 685 686 </ItemGroup> 686 <ItemGroup> 687 <Folder Include="Test References\" /> 688 </ItemGroup> <Import Project="$(MSBuildBinPath)\Microsoft.CSharp.targets" /> 687 <ItemGroup /> 688 <Import Project="$(MSBuildBinPath)\Microsoft.CSharp.targets" /> 689 689 <!-- To modify your build process, add your task inside one of the targets below and uncomment it. 690 690 Other similar extension points exist, see Microsoft.Common.targets. -
trunk/sources/HeuristicLab.Visualization.ChartControlsExtensions/3.3/ChartUtil.cs
r14353 r14354 37 37 38 38 // if one of the interval ends is a multiple of 5 or 10, change the other interval end to be a multiple as well 39 if ( Math.Abs(aMax) >= 5 && aMin.Mod(5).IsAlmost(0)&& !(aMax.Mod(5).IsAlmost(0) || aMax.Mod(10).IsAlmost(0))) {39 if ((aMin.Mod(5).IsAlmost(0) || aMin.Mod(10).IsAlmost(0)) && Math.Abs(aMax) >= 5 && !(aMax.Mod(5).IsAlmost(0) || aMax.Mod(10).IsAlmost(0))) { 40 40 aMax = Math.Min(aMax + 5 - aMax.Mod(5), aMax + 10 - aMax.Mod(10)); 41 } else if ( Math.Abs(aMin) >= 5 && aMax.Mod(5).IsAlmost(0)&& !(aMin.Mod(5).IsAlmost(0) || aMin.Mod(10).IsAlmost(0))) {41 } else if ((aMax.Mod(5).IsAlmost(0) || aMax.Mod(10).IsAlmost(0)) && Math.Abs(aMin) >= 5 && !(aMin.Mod(5).IsAlmost(0) || aMin.Mod(10).IsAlmost(0))) { 42 42 aMin = Math.Max(aMin - aMin.Mod(5), aMin - aMin.Mod(10)); 43 43 }
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