protected OperatorGraph(OperatorGraph original, Cloner cloner)
: base(original, cloner) {
operators = cloner.Clone(original.operators);
initialOperator = cloner.Clone(original.initialOperator);
visualizationInfo = cloner.Clone(original.visualizationInfo);
Initialize();
}
private Solution(Solution original, Cloner cloner)
: base(original, cloner) {
Tree = cloner.Clone(original.Tree);
Path = (string)original.Path.Clone();
NrOfRounds = original.NrOfRounds;
Enemies = cloner.Clone(original.Enemies);
}
protected SymbolicDataAnalysisModel(SymbolicDataAnalysisModel original, Cloner cloner)
: base(original, cloner) {
this.symbolicExpressionTree = cloner.Clone(original.symbolicExpressionTree);
this.interpreter = cloner.Clone(original.interpreter);
this.lowerEstimationLimit = original.lowerEstimationLimit;
this.upperEstimationLimit = original.upperEstimationLimit;
}
protected Arc(Arc original, Cloner cloner)
: base(original, cloner) {
Source = cloner.Clone(original.Source);
Target = cloner.Clone(original.Target);
label = original.Label;
weight = original.Weight;
}
protected ConnectionInfo(ConnectionInfo original, Cloner cloner)
: base(original, cloner) {
from = cloner.Clone(original.from);
connectorFrom = original.ConnectorFrom;
to = cloner.Clone(original.To);
connectorTo = original.ConnectorTo;
}
private Solution(Solution original, Cloner cloner)
: base(original, cloner) {
SymbolicExpressionTree = cloner.Clone(original.SymbolicExpressionTree);
World = cloner.Clone(original.World);
MaxTimeSteps = original.MaxTimeSteps;
Quality = original.Quality;
}
private PathTSPTour(PathTSPTour original, Cloner cloner)
: base(original, cloner) {
this.coordinates = cloner.Clone(original.coordinates);
this.permutation = cloner.Clone(original.permutation);
this.quality = cloner.Clone(original.quality);
Initialize();
}
protected NcaModel(NcaModel original, Cloner cloner)
: base(original, cloner) {
this.transformationMatrix = (double[,])original.transformationMatrix.Clone();
this.allowedInputVariables = (string[])original.allowedInputVariables.Clone();
this.nnModel = cloner.Clone(original.nnModel);
this.classValues = (double[])original.classValues.Clone();
}
private TwoPointFiveMove(TwoPointFiveMove original, Cloner cloner)
: base(original, cloner) {
this.Index1 = original.Index1;
this.Index2 = original.Index2;
this.IsInvert = original.IsInvert;
this.Permutation = cloner.Clone(original.Permutation);
}
protected Job(Job original, Cloner cloner)
: base(original, cloner) {
this.dueDate = original.DueDate;
this.index = original.Index;
this.tasks = cloner.Clone(original.Tasks);
RegisterEventHandlers();
}
protected AdditiveMove(AdditiveMove original, Cloner cloner)
: base(original, cloner) {
this.Dimension = original.Dimension;
this.MoveDistance = original.MoveDistance;
if (original.RealVector != null)
this.RealVector = cloner.Clone(original.RealVector);
}
private Solution(Solution original, Cloner cloner)
: base(original, cloner) {
this.Length = original.Length;
this.Width = original.Width;
this.Tree = cloner.Clone(original.Tree);
this.Quality = original.Quality;
}
public override void CalculateImpactAndReplacementValues(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node,
IDataAnalysisProblemData problemData, IEnumerable<int> rows, out double impactValue, out double replacementValue, out double newQualityForImpactsCalculation,
double qualityForImpactsCalculation = Double.NaN) {
var classificationModel = (ISymbolicClassificationModel)model;
var classificationProblemData = (IClassificationProblemData)problemData;
if (double.IsNaN(qualityForImpactsCalculation))
qualityForImpactsCalculation = CalculateQualityForImpacts(classificationModel, classificationProblemData, rows);
replacementValue = CalculateReplacementValue(classificationModel, node, classificationProblemData, rows);
var constantNode = new ConstantTreeNode(new Constant()) { Value = replacementValue };
var cloner = new Cloner();
var tempModel = cloner.Clone(classificationModel);
var tempModelNode = (ISymbolicExpressionTreeNode)cloner.GetClone(node);
var tempModelParentNode = tempModelNode.Parent;
int i = tempModelParentNode.IndexOfSubtree(tempModelNode);
tempModelParentNode.RemoveSubtree(i);
tempModelParentNode.InsertSubtree(i, constantNode);
OnlineCalculatorError errorState;
var dataset = classificationProblemData.Dataset;
var targetClassValues = dataset.GetDoubleValues(classificationProblemData.TargetVariable, rows);
var estimatedClassValues = tempModel.GetEstimatedClassValues(dataset, rows);
newQualityForImpactsCalculation = OnlineAccuracyCalculator.Calculate(targetClassValues, estimatedClassValues, out errorState);
if (errorState != OnlineCalculatorError.None) newQualityForImpactsCalculation = 0.0;
impactValue = qualityForImpactsCalculation - newQualityForImpactsCalculation;
}
private QAPAssignment(QAPAssignment original, Cloner cloner)
: base(original, cloner) {
distances = cloner.Clone(original.distances);
weights = cloner.Clone(original.weights);
assignment = cloner.Clone(original.assignment);
quality = cloner.Clone(original.quality);
}
private OperatorGraphVisualizationInfo(OperatorGraphVisualizationInfo original, Cloner cloner)
: base(original, cloner) {
operatorShapeInfoMapping = new BidirectionalLookup<IOperator, IOperatorShapeInfo>();
operatorParameterCollectionMapping = new BidirectionalLookup<IOperator, IKeyedItemCollection<string, IParameter>>();
parameterOperatorMapping = new Dictionary<IParameter, IOperator>();
operatorGraph = cloner.Clone(original.operatorGraph);
RegisterOperatorGraphEvents();
oldInitialShape = cloner.Clone(original.oldInitialShape);
oldInitialShapeColor = original.oldInitialShapeColor;
foreach (KeyValuePair<IOperator, IOperatorShapeInfo> pair in original.operatorShapeInfoMapping.FirstEnumerable) {
IOperator op = cloner.Clone(pair.Key);
IOperatorShapeInfo shapeInfo = cloner.Clone(pair.Value);
RegisterOperatorEvents(op);
operatorParameterCollectionMapping.Add(op, op.Parameters);
operatorShapeInfoMapping.Add(op, shapeInfo);
}
foreach (IOperator oper in operatorShapeInfoMapping.FirstValues) {
foreach (IParameter param in oper.Parameters) {
parameterOperatorMapping.Add(param, oper);
IValueParameter opParam = param as IValueParameter;
if (opParam != null && typeof(IOperator).IsAssignableFrom(param.DataType))
RegisterOperatorParameterEvents(opParam);
else
RegisterParameterEvents(param);
}
}
}
protected Engine(Engine original, Cloner cloner)
: base(original, cloner) {
log = cloner.Clone(original.log);
executionStack = new Stack<IOperation>();
IOperation[] contexts = original.executionStack.ToArray();
for (int i = contexts.Length - 1; i >= 0; i--)
executionStack.Push(cloner.Clone(contexts[i]));
}
protected DebugEngine(DebugEngine original, Cloner cloner)
: base(original, cloner) {
if (original.ExecutionState == ExecutionState.Started) throw new InvalidOperationException(string.Format("Clone not allowed in execution state \"{0}\".", ExecutionState));
Log = cloner.Clone(original.Log);
ExecutionStack = cloner.Clone(original.ExecutionStack);
OperatorTrace = cloner.Clone(original.OperatorTrace);
InitializeTimer();
currentOperation = cloner.Clone(original.currentOperation);
}
private EvaluationTracker(EvaluationTracker original, Cloner cloner)
: base(original, cloner) {
problem = cloner.Clone(original.problem);
maxEvaluations = original.maxEvaluations;
BestQuality = original.BestQuality;
Evaluations = original.Evaluations;
BestFoundOnEvaluation = original.BestFoundOnEvaluation;
BestSolution = cloner.Clone(BestSolution);
}
private Scope(Scope original, Cloner cloner)
: base(original, cloner) {
if (original.variables.Count > 0) variables = cloner.Clone(original.variables);
else variables = new VariableCollection();
if (original.subScopes.Count > 0) {
subScopes = cloner.Clone(original.subScopes);
foreach (IScope child in SubScopes)
child.Parent = this;
} else subScopes = new ScopeList();
RegisterSubScopesEvents();
}
private GradientBoostedTreesModelSurrogate(GradientBoostedTreesModelSurrogate original, Cloner cloner)
: base(original, cloner) {
if (original.actualModel != null) this.actualModel = cloner.Clone(original.actualModel);
this.trainingProblemData = cloner.Clone(original.trainingProblemData);
this.lossFunction = cloner.Clone(original.lossFunction);
this.seed = original.seed;
this.iterations = original.iterations;
this.maxSize = original.maxSize;
this.r = original.r;
this.m = original.m;
this.nu = original.nu;
}
private Run(Run original, Cloner cloner)
: base(original, cloner) {
color = original.color;
algorithm = cloner.Clone(original.algorithm);
parameters = new ObservableDictionary<string, IItem>();
foreach (string key in original.parameters.Keys)
parameters.Add(key, cloner.Clone(original.parameters[key]));
results = new ObservableDictionary<string, IItem>();
foreach (string key in original.results.Keys)
results.Add(key, cloner.Clone(original.results[key]));
}
protected PotvinPDRearrangeMove(PotvinPDRearrangeMove original, Cloner cloner)
: base(original, cloner) {
this.City = original.City;
this.Tour = original.Tour;
this.Individual = cloner.Clone(Individual) as PotvinEncoding;
}
protected TwoIndexMove(TwoIndexMove original, Cloner cloner)
: base(original, cloner) {
this.Index1 = original.Index1;
this.Index2 = original.Index2;
if (original.Permutation != null)
this.Permutation = cloner.Clone(original.Permutation);
}
protected PotvinVehicleAssignmentMove(PotvinVehicleAssignmentMove original, Cloner cloner)
: base(original, cloner) {
this.Tour1 = original.Tour1;
this.Tour2 = original.Tour2;
this.Individual = cloner.Clone(Individual) as PotvinEncoding;
}
protected PotvinCustomerRelocationMove(PotvinCustomerRelocationMove original, Cloner cloner)
: base(original, cloner) {
this.City = original.City;
this.OldTour = original.OldTour;
this.Tour = original.Tour;
this.Individual = cloner.Clone(Individual) as PotvinEncoding;
}
protected AlbaTranslocationMove(AlbaTranslocationMove original, Cloner cloner)
: base(original, cloner) {
this.Index1 = original.Index1;
this.Index2 = original.Index2;
this.Index3 = original.Index3;
this.Permutation = cloner.Clone(Permutation) as AlbaEncoding;
}
protected PotvinTwoOptStarMove(PotvinTwoOptStarMove original, Cloner cloner)
: base(original, cloner) {
this.Tour1 = original.Tour1;
this.X1 = original.X1;
this.Tour2 = original.Tour2;
this.X2 = original.X2;
this.Individual = cloner.Clone(Individual) as PotvinEncoding;
}
protected PotvinPDExchangeMove(PotvinPDExchangeMove original, Cloner cloner)
: base(original, cloner) {
this.City = original.City;
this.OldTour = original.OldTour;
this.Tour = original.Tour;
this.Replaced = original.Replaced;
this.Individual = cloner.Clone(Individual) as PotvinEncoding;
}
protected PermutationEncoding(PermutationEncoding original, Cloner cloner)
: base(original, cloner) {
this.readOnly = original.readOnly;
if (original.ProblemInstance != null && cloner.ClonedObjectRegistered(original.ProblemInstance))
this.ProblemInstance = (IVRPProblemInstance)cloner.Clone(original.ProblemInstance);
else
this.ProblemInstance = original.ProblemInstance;
}
protected SymbolicExpressionTreeNode(SymbolicExpressionTreeNode original, Cloner cloner)
: base(original, cloner) {
symbol = original.symbol; // symbols are reused
length = original.length;
depth = original.depth;
if (original.subtrees != null) {
subtrees = new List<ISymbolicExpressionTreeNode>(original.subtrees.Count);
foreach (var subtree in original.subtrees) {
var clonedSubtree = cloner.Clone(subtree);
subtrees.Add(clonedSubtree);
clonedSubtree.Parent = this;
}
}
}
private SingleObjectiveTestFunctionSimilarityCalculator(SingleObjectiveTestFunctionSimilarityCalculator original, Cloner cloner)
: base(original, cloner)
{
this.Bounds = cloner.Clone(original.Bounds);
}
protected SymbolicExpressionTree(SymbolicExpressionTree original, Cloner cloner)
: base(original, cloner)
{
root = cloner.Clone(original.Root);
}
private RealVectorSwarmUpdater(RealVectorSwarmUpdater original, Cloner cloner)
: base(original, cloner)
{
ResultsCollector = cloner.Clone(original.ResultsCollector);
}
private MeanSum(MeanSum original, Cloner cloner)
: base(original, cloner)
{
this.terms = cloner.Clone(original.terms);
this.numberOfVariables = original.numberOfVariables;
}
protected ReadOnlyItemArray(ReadOnlyItemArray <T> original, Cloner cloner)
{
cloner.RegisterClonedObject(original, this);
array = cloner.Clone((IItemArray <T>)original.array);
RegisterEvents();
}
private ProgrammableLinearProblemDefinition(ProgrammableLinearProblemDefinition original,
Cloner cloner) : base(original, cloner)
{
variableStore = cloner.Clone(original.variableStore);
codeChanged = original.codeChanged;
}
private AlbaTranslocationMoveTabuMaker(AlbaTranslocationMoveTabuMaker original, Cloner cloner)
: base(original, cloner)
{
moveTabuMaker = cloner.Clone(original.moveTabuMaker);
}
private ComponentReducedLinearModel(ComponentReducedLinearModel original, Cloner cloner) : base(original, cloner)
{
Model = cloner.Clone(original.Model);
Pca = cloner.Clone(original.Pca);
}
protected ExecutionStack(ExecutionStack original, Cloner cloner)
{
cloner.RegisterClonedObject(original, this);
AddRange(original.Select(op => cloner.Clone(op)));
}
protected Population(Population original, Cloner cloner) : base(original, cloner)
{
Solutions = original.Solutions.Select(cloner.Clone).ToList();
Tree = cloner.Clone(original.Tree);
}
protected ThresholdTerminator(ThresholdTerminator <T> original, Cloner cloner)
: base(original, cloner)
{
thresholdParameter = cloner.Clone(original.thresholdParameter);
Initialize();
}
protected ScatterPlot(ScatterPlot original, Cloner cloner)
: base(original, cloner)
{
VisualProperties = cloner.Clone(original.visualProperties);
Rows = cloner.Clone(original.rows);
}
private ResultParameter(ResultParameter <T> original, Cloner cloner)
: base(original, cloner)
{
resultCollectionName = original.resultCollectionName;
defaultValue = cloner.Clone(original.defaultValue);
}
protected ParameterizedNamedItem(ParameterizedNamedItem original, Cloner cloner)
: base(original, cloner)
{
parameters = cloner.Clone(original.parameters);
readOnlyParameters = null;
}
private LinearLinkageEncoding(LinearLinkageEncoding original, Cloner cloner)
: base(original, cloner)
{
lengthParameter = cloner.Clone(original.lengthParameter);
RegisterParameterEvents();
}
private Variable(Variable original, Cloner cloner)
: base(original, cloner)
{
value = cloner.Clone(original.value);
RegisterValueEvents();
}
protected RegressionEnsembleModel(RegressionEnsembleModel original, Cloner cloner)
: base(original, cloner)
{
this.models = original.Models.Select(m => cloner.Clone(m)).ToList();
}
protected ReadOnlyItemDictionary(ReadOnlyItemDictionary <TKey, TValue> original, Cloner cloner)
{
cloner.RegisterClonedObject(original, this);
dict = cloner.Clone((IItemDictionary <TKey, TValue>)original.dict);
RegisterEvents();
}
public SymbolicExpressionTreePhenotypicSimilarityCalculator(SymbolicExpressionTreePhenotypicSimilarityCalculator original, Cloner cloner)
: base(original, cloner)
{
this.ProblemData = cloner.Clone(original.ProblemData);
this.Interpreter = cloner.Clone(original.Interpreter);
}
protected ItemWrapper(ItemWrapper <T> original, Cloner cloner)
{
cloner.RegisterClonedObject(original, this);
wrappedItem = cloner.Clone(original.wrappedItem);
RegisterWrappedItemEvents();
}
