protected IEnumerable <double> CalculateDifference(JToken curDiff0, IEnumerable <JToken> curDiffOthers, VariableType variableType, bool normalize)
{
switch (variableType)
{
case VariableType.Bool:
return(PythonSemanticComparer.Compare(curDiff0.Values <bool>(), curDiffOthers.Select(x => x.Values <bool>()), normalize));
case VariableType.Int:
case VariableType.Float:
return(PythonSemanticComparer.Compare(ConvertIntJsonToDouble(curDiff0), curDiffOthers.Select(x => ConvertIntJsonToDouble(x)), normalize));
case VariableType.String:
return(PythonSemanticComparer.Compare(curDiff0.Values <string>(), curDiffOthers.Select(x => x.Values <string>()), normalize));
case VariableType.List_Bool:
return(PythonSemanticComparer.Compare(curDiff0.Select(x => x.Values <bool>().ToList()), curDiffOthers.Select(x => x.Select(y => y.Values <bool>().ToList())), normalize));
case VariableType.List_Int:
case VariableType.List_Float:
return(PythonSemanticComparer.Compare(curDiff0.Select(x => ConvertIntJsonToDouble(x)), curDiffOthers.Select(x => x.Select(y => ConvertIntJsonToDouble(y))), normalize));
case VariableType.List_String:
return(PythonSemanticComparer.Compare(curDiff0.Select(x => x.Values <string>().ToList()), curDiffOthers.Select(x => x.Select(y => y.Values <string>().ToList())), normalize));
}
throw new ArgumentException("Variable Type cannot be compared.");
}
public override void ReplaceBranch(IRandom random, ISymbolicExpressionTree symbolicExpressionTree, ICFGPythonProblemData problemData, ItemArray <PythonStatementSemantic> semantics, PythonProcess pythonProcess, double timeout, int maxTreeLength, int maxTreeDepth, int maximumSemanticTries)
{
if (semantics == null || semantics.Length == 0)
{
ReplaceBranchManipulation.ReplaceRandomBranch(random, symbolicExpressionTree, maxTreeLength, maxTreeDepth);
SemanticallyEquivalentMutationParameter.ActualValue = new IntValue(NoSemantics);
MutationTypeParameter.ActualValue = new IntValue(RandomMutation);
return;
}
var statementProductionNames = SemanticOperatorHelper.GetSemanticProductionNames(symbolicExpressionTree.Root.Grammar);
var variables = problemData.Variables.GetVariableNames().ToList();
string variableSettings = problemData.VariableSettings.Count == 0 ? String.Empty : String.Join(Environment.NewLine, problemData.VariableSettings.Select(x => x.Value));
var allowedSymbols = new List <ISymbol>();
// repeat until a fitting parent and child are found (MAX_TRIES times)
int tries = 0;
int semanticTries = 0;
List <JObject> saveOriginalSemantics = null;
List <JObject> saveReplaceSemantics = null;
List <Tuple <ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode, int> > possibleChildren = null; // Item1 = parent, Item2 = seedNode, Item3 = childIndex
if (UsesAdditionalSemanticMeasure())
{
saveOriginalSemantics = new List <JObject>(semanticTries);
saveReplaceSemantics = new List <JObject>(semanticTries);
possibleChildren = new List <Tuple <ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode, int> >(semanticTries);
}
bool success = false;
do
{
#region find mutation point
#pragma warning disable 612, 618
ISymbolicExpressionTreeNode parent = symbolicExpressionTree.Root.IterateNodesPrefix().Skip(1).Where(n => n.SubtreeCount > 0).SelectRandom(random);
#pragma warning restore 612, 618
int childIndex = random.Next(parent.SubtreeCount);
var child = parent.GetSubtree(childIndex);
int maxLength = maxTreeLength - symbolicExpressionTree.Length + child.GetLength();
int maxDepth = maxTreeDepth - symbolicExpressionTree.Root.GetBranchLevel(child);
allowedSymbols.Clear();
foreach (var symbol in parent.Grammar.GetAllowedChildSymbols(parent.Symbol, childIndex))
{
// check basic properties that the new symbol must have
if ((symbol.Name != child.Symbol.Name || symbol.MinimumArity > 0) &&
symbol.InitialFrequency > 0 &&
parent.Grammar.GetMinimumExpressionDepth(symbol) <= maxDepth &&
parent.Grammar.GetMinimumExpressionLength(symbol) <= maxLength)
{
allowedSymbols.Add(symbol);
}
}
#endregion
#region check for semantic difference with a new random tree
if (allowedSymbols.Count > 0)
{
if (semanticTries <= maximumSemanticTries)
{
// do semantic mutation
#region calculate original json output
ISymbolicExpressionTreeNode statement = SemanticOperatorHelper.GetStatementNode(child, statementProductionNames);
var statementPos0 = symbolicExpressionTree.IterateNodesPrefix().ToList().IndexOf(statement);
PythonStatementSemantic curSemantics = null;
if (String.IsNullOrEmpty(variableSettings))
{
curSemantics = semantics.First(x => x.TreeNodePrefixPos == statementPos0);
variableSettings = SemanticOperatorHelper.SemanticToPythonVariableSettings(curSemantics.Before, problemData.Variables.GetVariableTypes());
}
var jsonOriginal = SemanticOperatorHelper.EvaluateStatementNode(statement, pythonProcess, random, problemData, variables, variableSettings, timeout);
// compare jsonOriginal to semantic after! Maybe avoid additional evaluation.
#endregion
var seedNode = GenerateAndInsertNewSubtree(random, parent, allowedSymbols, childIndex, maxLength, maxDepth);
#region calculate new json output
JObject jsonReplaced;
if (child == statement)
{
// child is executable, so is the new child
jsonReplaced = SemanticOperatorHelper.EvaluateStatementNode(seedNode, pythonProcess, random, problemData, variables, variableSettings, timeout);
}
else
{
jsonReplaced = SemanticOperatorHelper.EvaluateStatementNode(statement, pythonProcess, random, problemData, variables, variableSettings, timeout);
}
var exception = jsonOriginal["exception"] != null || jsonReplaced["exception"] != null;
if (exception)
{
if (jsonOriginal["exception"] != null)
{
MutationExceptionsParameter.ActualValue.Add(new StringValue(jsonOriginal["exception"].ToString()));
}
if (jsonReplaced["exception"] != null)
{
MutationExceptionsParameter.ActualValue.Add(new StringValue(jsonReplaced["exception"].ToString()));
}
}
if (curSemantics != null && !exception)
{
jsonOriginal = PythonSemanticComparer.ReplaceNotExecutedCases(jsonOriginal, curSemantics.Before, curSemantics.ExecutedCases);
jsonReplaced = PythonSemanticComparer.ReplaceNotExecutedCases(jsonReplaced, curSemantics.Before, curSemantics.ExecutedCases);
jsonOriginal = PythonSemanticComparer.ProduceDifference(jsonOriginal, curSemantics.Before);
jsonReplaced = PythonSemanticComparer.ProduceDifference(jsonReplaced, curSemantics.Before);
}
if (!exception && SemanticMeasure(jsonOriginal, jsonReplaced))
{
success = true;
SemanticallyEquivalentMutationParameter.ActualValue = new IntValue(Different);
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("First Semantic");
MutationTypeParameter.ActualValue = new IntValue(SemanticMutation);
}
else
{
// undo mutation
parent.RemoveSubtree(childIndex);
parent.InsertSubtree(childIndex, child);
allowedSymbols.Clear();
if (!exception && UsesAdditionalSemanticMeasure())
{
saveOriginalSemantics.Add(jsonOriginal);
saveReplaceSemantics.Add(jsonReplaced);
possibleChildren.Add(new Tuple <ISymbolicExpressionTreeNode, ISymbolicExpressionTreeNode, int>(parent, seedNode, childIndex));
}
}
if (problemData.VariableSettings.Count == 0)
{
// reset variableSettings
variableSettings = String.Empty;
}
semanticTries++;
#endregion
#region try second semantic comparison
if (!success && semanticTries >= maximumSemanticTries && UsesAdditionalSemanticMeasure())
{
for (int index = 0; index < saveOriginalSemantics.Count; index++)
{
if (AdditionalSemanticMeasure(saveOriginalSemantics[index], saveReplaceSemantics[index]))
{
var mutation = possibleChildren[index];
mutation.Item1.RemoveSubtree(mutation.Item3);
mutation.Item1.InsertSubtree(mutation.Item3, mutation.Item2);
success = true;
SemanticallyEquivalentMutationParameter.ActualValue = new IntValue(Different);
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("Second Semantic");
MutationTypeParameter.ActualValue = new IntValue(SemanticMutation);
break;
}
}
}
#endregion
}
else
{
// do random mutation
#region calculate original json output
ISymbolicExpressionTreeNode statement = SemanticOperatorHelper.GetStatementNode(child, statementProductionNames);
var statementPos0 = symbolicExpressionTree.IterateNodesPrefix().ToList().IndexOf(statement);
if (String.IsNullOrEmpty(variableSettings))
{
variableSettings = SemanticOperatorHelper.SemanticToPythonVariableSettings(semantics.First(x => x.TreeNodePrefixPos == statementPos0).Before, problemData.Variables.GetVariableTypes());
}
var jsonOriginal = SemanticOperatorHelper.EvaluateStatementNode(statement, pythonProcess, random, problemData, variables, variableSettings, timeout);
#endregion
var seedNode = GenerateAndInsertNewSubtree(random, parent, allowedSymbols, childIndex, maxLength, maxDepth);
JObject jsonReplaced;
if (child == statement)
{
// child is executable, so is the new child
jsonReplaced = SemanticOperatorHelper.EvaluateStatementNode(seedNode, pythonProcess, random, problemData, variables, variableSettings, timeout);
}
else
{
jsonReplaced = SemanticOperatorHelper.EvaluateStatementNode(statement, pythonProcess, random, problemData, variables, variableSettings, timeout);
}
if (JToken.EqualityComparer.Equals(jsonOriginal, jsonReplaced))
{
SemanticallyEquivalentMutationParameter.ActualValue = new IntValue(Equvivalent);
}
else
{
SemanticallyEquivalentMutationParameter.ActualValue = new IntValue(Different);
}
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("Random Crossover; Reached Max Semantic Tries");
MutationTypeParameter.ActualValue = new IntValue(RandomMutation);
success = true;
}
}
#endregion
tries++;
} while (tries < MAX_TRIES && !success);
NumberOfTriesParameter.ActualValue = new IntValue(semanticTries);
if (SemanticallyEquivalentMutationParameter.ActualValue == null)
{
SemanticallyEquivalentMutationParameter.ActualValue = new IntValue(NoMutation);
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("No mutation");
MutationTypeParameter.ActualValue = new IntValue(NoMutation);
}
}
protected override bool SemanticMeasure(JObject original, JObject replaced)
{
return(PythonSemanticComparer.AnyChange(original, replaced));
}
protected override bool SemanticMeasure(JObject original, JObject replaced)
{
return(PythonSemanticComparer.PartialChangeInAtLeastOneVariable(original, replaced));
}
protected override ISymbolicExpressionTree Cross(IRandom random, ISymbolicExpressionTree parent0, ISymbolicExpressionTree parent1, ItemArray <PythonStatementSemantic> semantic0, ItemArray <PythonStatementSemantic> semantic1, T problemData, int maxTreeLength, int maxTreeDepth, double internalCrossoverPointProbability, out ItemArray <PythonStatementSemantic> newSemantics)
{
if (semantic0 == null || semantic1 == null || semantic0.Length == 0 || semantic1.Length == 0)
{
parent0 = SubtreeCrossover.Cross(random, parent0, parent1, internalCrossoverPointProbability, maxTreeLength, maxTreeDepth);
newSemantics = null;
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("No Semantics; Random Crossover");
AddStatisticsNoCrossover(NoXoNoSemantics);
return(parent0);
}
newSemantics = semantic0;
var statementProductionNames = SemanticOperatorHelper.GetSemanticProductionNames(parent0.Root.Grammar);
var variables = problemData.Variables.GetVariableNames().ToList();
string variableSettings = problemData.VariableSettings.Count == 0 ? String.Empty : String.Join(Environment.NewLine, problemData.VariableSettings.Select(x => x.Value));
int maximumSemanticTries = MaxComparesParameter.Value.Value;
int semanticTries = 0;
var saveOriginalSemantics = new List <JObject>(maximumSemanticTries);
var saveReplaceSemantics = new List <JObject>(maximumSemanticTries);
var possibleChildren = new List <Tuple <CutPoint, ISymbolicExpressionTreeNode> >(maximumSemanticTries);
bool success = false;
do
{
// select a random crossover point in the first parent
CutPoint crossoverPoint0;
SelectCrossoverPoint(random, parent0, internalCrossoverPointProbability, maxTreeLength, maxTreeDepth, out crossoverPoint0);
int childLength = crossoverPoint0.Child != null?crossoverPoint0.Child.GetLength() : 0;
// calculate the max length and depth that the inserted branch can have
int maxInsertedBranchLength = Math.Max(0, maxTreeLength - (parent0.Length - childLength));
int maxInsertedBranchDepth = Math.Max(0, maxTreeDepth - parent0.Root.GetBranchLevel(crossoverPoint0.Parent));
List <ISymbolicExpressionTreeNode> allowedBranches = new List <ISymbolicExpressionTreeNode>();
parent1.Root.ForEachNodePostfix((n) => {
if (n.GetLength() <= maxInsertedBranchLength &&
n.GetDepth() <= maxInsertedBranchDepth && crossoverPoint0.IsMatchingPointType(n))
{
allowedBranches.Add(n);
}
});
// empty branch
if (crossoverPoint0.IsMatchingPointType(null))
{
allowedBranches.Add(null);
}
if (allowedBranches.Count != 0)
{
var selectedBranch = SelectRandomBranch(random, allowedBranches, internalCrossoverPointProbability);
ISymbolicExpressionTreeNode statement = SemanticOperatorHelper.GetStatementNode(crossoverPoint0.Child, statementProductionNames);
var statementPos0 = parent0.IterateNodesPrefix().ToList().IndexOf(statement);
PythonStatementSemantic curSemantics = null;
if (String.IsNullOrEmpty(variableSettings))
{
curSemantics = semantic0.First(x => x.TreeNodePrefixPos == statementPos0);
variableSettings = SemanticOperatorHelper.SemanticToPythonVariableSettings(curSemantics.Before, problemData.Variables.GetVariableTypes());
}
var jsonOriginal = SemanticOperatorHelper.EvaluateStatementNode(statement, PyProcess, random, problemData, variables, variableSettings, Timeout);
JObject jsonReplaced;
if (statement == crossoverPoint0.Child)
{
// selectedBranch is also executable
jsonReplaced = SemanticOperatorHelper.EvaluateStatementNode(selectedBranch, PyProcess, random, problemData, variables, variableSettings, Timeout);
}
else
{
crossoverPoint0.Parent.RemoveSubtree(crossoverPoint0.ChildIndex);
var parent = selectedBranch.Parent; // save parent
crossoverPoint0.Parent.InsertSubtree(crossoverPoint0.ChildIndex, selectedBranch); // this will affect node.Parent
jsonReplaced = SemanticOperatorHelper.EvaluateStatementNode(statement, PyProcess, random, problemData, variables, variableSettings, Timeout);
crossoverPoint0.Parent.RemoveSubtree(crossoverPoint0.ChildIndex); // removes intermediate parent from node
selectedBranch.Parent = parent; // restore parent
crossoverPoint0.Parent.InsertSubtree(crossoverPoint0.ChildIndex, crossoverPoint0.Child); // restore cutPoint
}
var exception = jsonOriginal["exception"] != null || jsonReplaced["exception"] != null;
if (exception)
{
if (jsonOriginal["exception"] != null)
{
CrossoverExceptionsParameter.ActualValue.Add(new StringValue(jsonOriginal["exception"].ToString()));
}
if (jsonReplaced["exception"] != null)
{
CrossoverExceptionsParameter.ActualValue.Add(new StringValue(jsonReplaced["exception"].ToString()));
}
}
if (curSemantics != null && !exception)
{
jsonOriginal = PythonSemanticComparer.ReplaceNotExecutedCases(jsonOriginal, curSemantics.Before, curSemantics.ExecutedCases);
jsonReplaced = PythonSemanticComparer.ReplaceNotExecutedCases(jsonReplaced, curSemantics.Before, curSemantics.ExecutedCases);
jsonOriginal = PythonSemanticComparer.ProduceDifference(jsonOriginal, curSemantics.Before);
jsonReplaced = PythonSemanticComparer.ProduceDifference(jsonReplaced, curSemantics.Before);
}
if (!exception && SemanticMeasure(jsonOriginal, jsonReplaced))
{
newSemantics = SemanticSwap(crossoverPoint0, selectedBranch, parent0, parent1, semantic0, semantic1);
SemanticallyEquivalentCrossoverParameter.ActualValue = new IntValue(2);
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("First Semantic");
AddStatistics(semantic0, parent0, statement == crossoverPoint0.Child ? selectedBranch : statement, crossoverPoint0, jsonOriginal, selectedBranch, random, problemData, variables, variableSettings); // parent zero has been changed is now considered the child
success = true;
}
else
{
saveOriginalSemantics.Add(jsonOriginal);
saveReplaceSemantics.Add(jsonReplaced);
possibleChildren.Add(new Tuple <CutPoint, ISymbolicExpressionTreeNode>(crossoverPoint0, selectedBranch));
}
}
semanticTries++;
#region try second semantic comparison
if (!success && semanticTries >= maximumSemanticTries)
{
for (int index = 0; index < saveOriginalSemantics.Count; index++)
{
var exception = saveOriginalSemantics[index]["exception"] == null && saveReplaceSemantics[index]["exception"] == null;
if (!exception && AdditionalSemanticMeasure(saveOriginalSemantics[index], saveReplaceSemantics[index]))
{
var crossover = possibleChildren[index];
crossoverPoint0 = crossover.Item1;
// Recreate jsonOriginal as it might have changed due to ReplaceNotExecutedCases and ProduceDifference
var jsonOriginal = GenerateOriginalJson(crossoverPoint0, statementProductionNames, parent0, variableSettings, semantic0, problemData, random, variables);
newSemantics = SemanticSwap(crossoverPoint0, crossover.Item2, parent0, parent1, semantic0, semantic1);
var statement = SemanticOperatorHelper.GetStatementNode(crossover.Item2, statementProductionNames);
SemanticallyEquivalentCrossoverParameter.ActualValue = new IntValue(2);
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("Second Semantic");
AddStatistics(semantic0, parent0, statement, crossoverPoint0, jsonOriginal, crossover.Item2, random, problemData, variables, variableSettings); // parent zero has been changed is now considered the child
success = true;
break;
}
}
}
#endregion
} while (!success && semanticTries < maximumSemanticTries);
if (!success)
{
// Last change. If any possible crossover was found, do a crossover with the first one
if (saveOriginalSemantics.Any())
{
var crossover = possibleChildren.First();
var crossoverPoint0 = crossover.Item1;
// Recreate jsonOriginal as it might have changed due to ReplaceNotExecutedCases and ProduceDifference
var jsonOriginal = GenerateOriginalJson(crossoverPoint0, statementProductionNames, parent0, variableSettings, semantic0, problemData, random, variables);
newSemantics = SemanticSwap(crossoverPoint0, crossover.Item2, parent0, parent1, semantic0, semantic1);
var statement = SemanticOperatorHelper.GetStatementNode(crossover.Item2, statementProductionNames);
TypeSelectedForSimilarityParameter.ActualValue = new StringValue("Random Crossover; Reached Max Semantic Tries");
AddStatistics(semantic0, parent0, statement, crossoverPoint0, jsonOriginal, crossover.Item2, random, problemData, variables, variableSettings); // parent zero has been changed is now considered the child
}
else
{
AddStatisticsNoCrossover(NoXoNoAllowedBranch);
}
}
saveOriginalSemantics.Clear();
saveReplaceSemantics.Clear();
possibleChildren.Clear();
NumberOfCrossoverTries = semanticTries;
return(parent0);
}
// ToDo: Remove workaround; use executed lines in PythonStatementSemantic
public Tuple <IEnumerable <bool>, IEnumerable <double>, double, string, List <PythonStatementSemantic> > EvaluateAndTraceProgram(PythonProcess pythonProcess, string program, string input, string output, IEnumerable <int> indices, string header, string footer, ISymbolicExpressionTree tree, double timeout = 1)
{
string traceProgram = traceCodeWithVariables
+ program;
traceProgram += traceCodeWithVariables == String.Empty
? String.Empty
: traceTableReduceEntries;
EvaluationScript es = pythonProcess.CreateEvaluationScript(traceProgram, input, output, timeout);
es.Variables.Add("traceTable");
es.Variables.Add("traceTableBefore");
es.Variables.Add("executedLines");
JObject json = pythonProcess.SendAndEvaluateProgram(es);
var baseResult = pythonProcess.GetVariablesFromJson(json, indices.Count());
if (json["traceTable"] == null)
{
return(new Tuple <IEnumerable <bool>, IEnumerable <double>, double, string, List <PythonStatementSemantic> >(baseResult.Item1, baseResult.Item2, baseResult.Item3, baseResult.Item4, new List <PythonStatementSemantic>()));
}
var traceTable = json["traceTable"].ToObject <IDictionary <int, IDictionary <string, IList> > >();
var traceTableBefore = json["traceTableBefore"].ToObject <IDictionary <int, IDictionary <string, IList> > >();
var executedLines = json["executedLines"].ToObject <IDictionary <int, List <int> > >();
List <PythonStatementSemantic> semantics = new List <PythonStatementSemantic>();
ISymbolicExpressionTreeNode root = tree.Root;
var statementProductionNames = SemanticOperatorHelper.GetSemanticProductionNames(root.Grammar);
// calculate the correct line the semantic evaluation starts from
var code = CFGSymbolicExpressionTreeStringFormatter.StaticFormat(tree);
int curline = es.Script.Count(c => c == '\n') - code.Count(c => c == '\n') - footer.Count(c => c == '\n') - traceTableReduceEntries.Count(c => c == '\n');
var symbolToLineDict = FindStatementSymbolsInTree(root, statementProductionNames, ref curline);
#region workaround: empty line problem with while, can't fix, otherwise FindStatementSymbolsInTree won't work
string[] sciptLines = es.Script.Split('\n');
var beginLineNumbers = symbolToLineDict.Values.Select(x => x[0]).Distinct().ToList();
var moveLines = new Dictionary <int, int>(beginLineNumbers.Count);
foreach (var l in beginLineNumbers)
{
// decrease by one, as sciptLines is an array and start from zero, where lineNumbers started counting from 1
if (String.IsNullOrWhiteSpace(sciptLines[l - 1]) || sciptLines[l - 1].TrimStart().StartsWith("#"))
{
// empty line or comment
var i = l + 1;
while (i - 1 < sciptLines.Length && (String.IsNullOrWhiteSpace(sciptLines[i - 1]) || sciptLines[i - 1].TrimStart().StartsWith("#")))
{
i++;
}
moveLines.Add(l, i);
}
else
{
moveLines.Add(l, l);
}
}
foreach (var symbolLine in symbolToLineDict)
{
symbolLine.Value[0] = moveLines[symbolLine.Value[0]];
}
#endregion
#region fix Before line for <predefined> to have all variables initialised
// not a great way to do it, but the python interpreter does not stop at e.g. 'while False:'
int newMinBefore = traceTableBefore.OrderBy(x => x.Key).First(x => x.Value.ContainsKey("res0") && !x.Value["res0"].Contains(null)).Key; // first line that changes res0
foreach (var symbolToLine in symbolToLineDict)
{
symbolToLine.Value.Add(symbolToLine.Value[0]); // original beginning at [2], which is needed for executed lines
if (symbolToLine.Value[0] < newMinBefore)
{
symbolToLine.Value[0] = newMinBefore;
}
}
#endregion
var prefixTreeNodes = tree.IterateNodesPrefix().ToList();
foreach (var symbolLine in symbolToLineDict)
{
// Before
Dictionary <string, IList> before = new Dictionary <string, IList>();
foreach (var traceChange in traceTableBefore.Where(x => x.Key <= symbolLine.Value[0]).OrderByDescending(x => x.Key))
{
foreach (var variableChange in traceChange.Value)
{
if (!before.ContainsKey(variableChange.Key))
{
before.Add(variableChange.Key, variableChange.Value);
}
}
}
// After
Dictionary <string, IList> after = new Dictionary <string, IList>();
foreach (var traceChange in traceTable.Where(x => x.Key >= symbolLine.Value[0] && x.Key <= symbolLine.Value[1]).OrderByDescending(x => x.Key))
{
foreach (var variableChange in traceChange.Value)
{
if (!after.ContainsKey(variableChange.Key))
{
after.Add(variableChange.Key, variableChange.Value);
}
}
}
// clean after with before
foreach (var key in after.Keys.ToList())
{
if (PythonSemanticComparer.CompareSequence(after[key], before[key]))
{
after.Remove(key);
}
}
// add semantics
var executedLinesWithinStatement = executedLines.Where(x => x.Key >= symbolLine.Value[2] && x.Key <= symbolLine.Value[1]);
semantics.Add(new PythonStatementSemantic()
{
TreeNodePrefixPos = prefixTreeNodes.IndexOf(symbolLine.Key),
ExecutedCases = executedLinesWithinStatement.Any() ? executedLinesWithinStatement.OrderByDescending(x => x.Value.Count).First().Value : new List <int>(),
Before = before,
After = after,
});
}
return(new Tuple <IEnumerable <bool>, IEnumerable <double>, double, string, List <PythonStatementSemantic> >(baseResult.Item1, baseResult.Item2, baseResult.Item3, baseResult.Item4, semantics));
}
