private void AddTransitionTargets()
{
for (var i = 0L; i < _transitionTargetNo; i++)
{
var transitionTarget = _ltmdp.GetTransitionTarget(i);
var transitionTargetNode = TransitionTargetToNodeIndex(i);
var transitionTargetStateNode = StateToNodeIndex(transitionTarget.TargetState);
_baseGraph.AddVerticesAndEdge(new Edge <EdgeType>(transitionTargetNode, transitionTargetStateNode, EdgeType.Deterministic));
}
}
private void AddNodesOfContinuationId(long continuationId, long locationForContinuationGraphElement)
{
BufferCidMapping(continuationId, locationForContinuationGraphElement);
var choice = _ltmdp.GetContinuationGraphElement(continuationId);
if (choice.IsChoiceTypeUnsplitOrFinal)
{
Assert.That(choice.To <= int.MaxValue, "choice.To must be smaller than int.MaxValue");
var transitionTarget = _ltmdp.GetTransitionTarget((int)choice.To);
var targetEntry = new StateStorageEntry(transitionTarget.Formulas, transitionTarget.TargetState);
var targetState = _mapper[targetEntry];
NestedMarkovDecisionProcess.AddContinuationGraphLeaf(locationForContinuationGraphElement, targetState, choice.Probability);
return;
}
if (choice.IsChoiceTypeForward)
{
// no recursive descent here
var bufferedTargetCid = GetBufferedNmdpCid(choice.To);
NestedMarkovDecisionProcess.AddContinuationGraphInnerNode(locationForContinuationGraphElement, choice.ChoiceType, bufferedTargetCid, bufferedTargetCid, choice.Probability);
return;
}
var offsetTo = choice.To - choice.From;
var numberOfChildren = offsetTo + 1;
var placesForChildren = NestedMarkovDecisionProcess.GetPlaceForNewContinuationGraphElements(numberOfChildren);
NestedMarkovDecisionProcess.AddContinuationGraphInnerNode(locationForContinuationGraphElement, choice.ChoiceType, placesForChildren, placesForChildren + offsetTo, choice.Probability);
for (var currentChildNo = 0; currentChildNo < numberOfChildren; currentChildNo++)
{
var originalContinuationId = choice.From + currentChildNo;
var newLocation = placesForChildren + currentChildNo;
AddNodesOfContinuationId(originalContinuationId, newLocation);
}
}
private static void ExportCid(LabeledTransitionMarkovDecisionProcess ltmdp, TextWriter sb, string fromNode, bool fromProbabilistic, long currentCid)
{
LabeledTransitionMarkovDecisionProcess.ContinuationGraphElement choice = ltmdp.GetContinuationGraphElement(currentCid);
if (choice.IsChoiceTypeUnsplitOrFinal)
{
var thisNode = $"cid{currentCid}";
sb.WriteLine($" {thisNode} [ shape=point,width=0.1,height=0.1,label=\"\" ];");
if (fromProbabilistic)
{
sb.WriteLine($" {fromNode}->{thisNode} [ arrowhead =\"onormal\", label=\"{choice.Probability.ToString(CultureInfo.InvariantCulture)}\"];");
}
else
{
sb.WriteLine($" {fromNode}->{thisNode} [ arrowhead =\"normal\"];");
}
var transitionTarget = ltmdp.GetTransitionTarget(choice.To);
sb.Write($" {thisNode} -> {transitionTarget.TargetState} [ arrowhead =\"normal\",");
sb.Write("label=\"");
for (int i = 0; i < ltmdp.StateFormulaLabels.Length; i++)
{
if (i > 0)
{
sb.Write(",");
}
if (transitionTarget.Formulas[i])
{
sb.Write("t");
}
else
{
sb.Write("f");
}
}
sb.WriteLine("\"];");
}
else if (choice.IsChoiceTypeForward)
{
// only forward node (no recursion)
// do not print thisNode
var toNode = $"cid{choice.To}";
sb.WriteLine($" {fromNode}->{toNode} [ style =\"dashed\", label=\"{choice.Probability.ToString(CultureInfo.InvariantCulture)}\"];");
}
else
{
// we print how we came to this node
var thisNode = $"cid{currentCid}";
sb.WriteLine($" {thisNode} [ shape=point,width=0.1,height=0.1,label=\"\" ];");
if (fromProbabilistic)
{
sb.WriteLine($" {fromNode}->{thisNode} [ arrowhead =\"onormal\", label=\"{choice.Probability.ToString(CultureInfo.InvariantCulture)}\"];");
}
else
{
sb.WriteLine($" {fromNode}->{thisNode} [ arrowhead =\"normal\"];");
}
for (var i = choice.From; i <= choice.To; i++)
{
ExportCid(ltmdp, sb, thisNode, choice.IsChoiceTypeProbabilitstic, i);
}
}
}
