public Policy(MDPStat mdp)
{
this.mdp=mdp;
counter = 0;
// this.ListStates = getNoneDeadlockStates(mdp);
ListStates = getStatesNeedPlan(mdp);
totalPolicies = getTotalPolicies();
}
public Policy(MDPStat mdp)
{
this.mdp = mdp;
counter = 0;
// this.ListStates = getNoneDeadlockStates(mdp);
ListStates = getStatesNeedPlan(mdp);
totalPolicies = getTotalPolicies();
}
//private List<MDPStateStat> getNoneDeadlockStates(MDPStat mdp)
//{
// List<MDPStateStat> States = new List<MDPStateStat>();
// foreach (var pair in mdp.States)
// {
// if (pair.Value.Distributions.Count() != 0) { States.Add(pair.Value);}
// }
// return States;
//}
private List <MDPStateStat> getStatesNeedPlan(MDPStat mdpsat)
{
var states = new List <MDPStateStat>(mdpsat.NoneZeroStates);
foreach (MDPStateStat ss in mdpsat.NoneZeroStates)
{
if (ss.Distributions.Count() == 0)
{
states.Remove(ss);
}
}
return(states);
}
//private List<MDPStateStat> getNoneDeadlockStates(MDPStat mdp)
//{
// List<MDPStateStat> States = new List<MDPStateStat>();
// foreach (var pair in mdp.States)
// {
// if (pair.Value.Distributions.Count() != 0) { States.Add(pair.Value);}
// }
// return States;
//}
private List<MDPStateStat> getStatesNeedPlan(MDPStat mdpsat)
{
var states = new List<MDPStateStat>(mdpsat.NoneZeroStates);
foreach (MDPStateStat ss in mdpsat.NoneZeroStates)
{
if (ss.Distributions.Count() == 0) { states.Remove(ss); }
}
return states;
}
public MDPStat BuildQuotientMDP(VerificationOutput VerificationOutput)
{
//return this;
MDPStat toReturn = new MDPStat(Precision, MAX_DIFFERENCE);
//todo change to set
List <KeyValuePair <string, string> > BoundaryOneTransition = new List <KeyValuePair <string, string> >();
//todo change to set
List <DistributionStat> ProbTransitions = new List <DistributionStat>();
Dictionary <string, List <DistributionStat> > GlobalProbTransitions = new Dictionary <string, List <DistributionStat> >();
StringDictionary <bool> visited = new StringDictionary <bool>(States.Count);
List <KeyValuePair <HashSet <string>, MDPStateStat> > sccs = new List <KeyValuePair <HashSet <string>, MDPStateStat> >();
Dictionary <string, int> preorder = new Dictionary <string, int>();
Dictionary <string, int> lowlink = new Dictionary <string, int>();
//HashSet<string> scc_found = new HashSet<string>();
Stack <MDPStateStat> TaskStack = new Stack <MDPStateStat>();
//Dictionary<string, List<string>> OutgoingTransitionTable = new Dictionary<string, List<string>>();
Stack <MDPStateStat> stepStack = new Stack <MDPStateStat>(1024);
visited.Add(InitState.ID, false);
TaskStack.Push(InitState);
//# Preorder counter
int preor = 0;
do
{
while (TaskStack.Count > 0)
{
MDPStateStat pair = TaskStack.Peek();
string v = pair.ID;
if (visited.GetContainsKey(v) && visited.GetContainsKey(v))
{
TaskStack.Pop();
continue;
}
if (!preorder.ContainsKey(v))
{
preorder.Add(v, preor);
preor++;
}
bool done = true;
List <DistributionStat> list = pair.Distributions;
List <MDPStateStat> nonProbTrans = new List <MDPStateStat>();
List <DistributionStat> ProbTrans = new List <DistributionStat>();
for (int i = 0; i < list.Count; i++)
{
if (list[i].IsTrivial())
{
nonProbTrans.Add(list[i].States[0].Value);
}
else
{
ProbTrans.Add(list[i]);
}
}
if (ProbTrans.Count > 0 && !GlobalProbTransitions.ContainsKey(v))
{
GlobalProbTransitions.Add(v, ProbTrans);
ProbTransitions.AddRange(ProbTrans);
}
for (int k = nonProbTrans.Count - 1; k >= 0; k--)
{
MDPStateStat step = nonProbTrans[k];
string tmp = step.ID;
if (visited.ContainsKey(tmp))
{
//if this node is still not visited
if (!preorder.ContainsKey(tmp))
{
//only put the first one to the work list stack.
//if there are more than one node to be visited,
//simply ignore them and keep its event step in the list.
if (done)
{
TaskStack.Push(step);
done = false;
}
}
}
else
{
visited.Add(tmp, false);
//OutgoingTransitionTable.Add(tmp, new List<string>(8));
//only put the first one into the stack.
if (done)
{
TaskStack.Push(step);
done = false;
}
}
}
if (done)
{
int lowlinkV = preorder[v];
int preorderV = preorder[v];
bool selfLoop = false;
for (int j = 0; j < nonProbTrans.Count; j++)
{
string w = nonProbTrans[j].ID;
if (w == v)
{
selfLoop = true;
}
if (!visited.GetContainsKey(w))
{
if (preorder[w] > preorderV)
{
lowlinkV = Math.Min(lowlinkV, lowlink[w]);
}
else
{
lowlinkV = Math.Min(lowlinkV, preorder[w]);
}
}
else //in this case, there is a tau transition leading to an SCC; must add the transition into the toReturn automaton
{
BoundaryOneTransition.Add(new KeyValuePair <string, string>(v, w));
}
}
lowlink[v] = lowlinkV;
TaskStack.Pop();
HashSet <string> scc = new HashSet <string>();
if (lowlinkV == preorderV)
{
scc.Add(v);
visited.SetValue(v, true);
while (stepStack.Count > 0 && preorder[stepStack.Peek().ID] > preorderV)
{
string s = stepStack.Pop().ID;
scc.Add(s);
visited.SetValue(s, true);
}
MDPStateStat newstate = new MDPStateStat(toReturn.States.Count.ToString());
if (scc.Count > 1 || (scc.Count == 1 && selfLoop))
{
newstate.AddDistribution(new DistributionStat(Constants.TAU, newstate)); //add self loop: sun jun
}
sccs.Add(new KeyValuePair <HashSet <string>, MDPStateStat>(scc, newstate));
toReturn.AddState(newstate);
if (scc.Contains(InitState.ID))
{
toReturn.SetInit(newstate);
}
foreach (MDPStateStat state in TargetStates)
{
if (scc.Contains(state.ID))
{
toReturn.AddTargetStates(newstate);
}
}
}
else
{
stepStack.Push(pair);
}
}
}
if (ProbTransitions.Count > 0)
{
foreach (DistributionStat step in ProbTransitions)
{
foreach (KeyValuePair <double, MDPStateStat> pair in step.States)
{
string stateID = pair.Value.ID;
if (!visited.ContainsKey(stateID))
{
TaskStack.Push(pair.Value);
visited.Add(stateID, false);
}
}
}
ProbTransitions.Clear();
}
} while (TaskStack.Count > 0);
foreach (KeyValuePair <string, string> pair in BoundaryOneTransition)
{
MDPStateStat source = null;
MDPStateStat target = null;
foreach (KeyValuePair <HashSet <string>, MDPStateStat> sccstate in sccs)
{
if (sccstate.Key.Contains(pair.Key))
{
source = sccstate.Value;
}
if (sccstate.Key.Contains(pair.Value))
{
target = sccstate.Value;
}
}
toReturn.AddDistribution(source.ID, new DistributionStat(Constants.TAU, target));
VerificationOutput.ReducedMDPTransitions++;
}
foreach (KeyValuePair <string, List <DistributionStat> > pair in GlobalProbTransitions)
{
MDPStateStat source = null;
foreach (KeyValuePair <HashSet <string>, MDPStateStat> sccstate in sccs)
{
if (sccstate.Key.Contains(pair.Key))
{
source = sccstate.Value;
break;
}
}
foreach (DistributionStat distribution in pair.Value)
{
DistributionStat disNew = new DistributionStat(distribution.Event);
foreach (KeyValuePair <double, MDPStateStat> state in distribution.States)
{
foreach (KeyValuePair <HashSet <string>, MDPStateStat> sccstate in sccs)
{
if (sccstate.Key.Contains(state.Value.ID))
{
disNew.AddProbStatePair(state.Key, sccstate.Value);
VerificationOutput.ReducedMDPTransitions++;
break;
}
}
}
toReturn.AddDistribution(source.ID, disNew);
}
}
VerificationOutput.ReducedMDPStates = toReturn.States.Count;
return(toReturn);
}
public void setModel(MDPStat mdpstat)
{
mdp = mdpstat;
}
public DistributionStat calcGroupedDistr(List <HashSet <MDPStateStat> > ListHashMDP, DistributionStat Distr, MDPStateStat Initial, MDPStateStat Target, MDPStateStat Safe, MDPStat mdp)
{
DistributionStat toReturn = new DistributionStat(Distr.Event);
double toInit = 0;
double toTarget = 0;
double[] combined = new double[ListHashMDP.Count];
//MDPStateStat[] groupstates = new MDPStateStat[seperation.Count];
foreach (KeyValuePair <double, MDPStateStat> transition in Distr.States)
{
if (TargetStates.Contains(transition.Value))
{
toTarget += transition.Key;
}
else if (InitState == transition.Value)
{
toInit += transition.Key;
}
else
{
for (int i = 0; i < ListHashMDP.Count; i++)
{
if (ListHashMDP[i].Contains(transition.Value))
{
combined[i] += transition.Key;
break;
}
}
}
}
double toSafe = 1 - toTarget - toInit;
for (int i = 0; i < ListHashMDP.Count; i++)
{
toSafe -= combined[i];
}
if (toInit != 0)
{
toReturn.AddProbStatePair(Math.Round(toInit, 5), Initial);
}
if (toTarget != 0)
{
toReturn.AddProbStatePair(Math.Round(toTarget, 5), Target);
}
if (toSafe != 0)
{
toReturn.AddProbStatePair(Math.Round(toSafe, 5), Safe);
}
//toReturn.AddProbStatePair(toSafe, Safe);
for (int j = 0; j < ListHashMDP.Count; j++)
{
if (combined[j] != 0)
{
MDPStateStat state = mdp.States[StateFromHashset(ListHashMDP[j]).ID];
toReturn.AddProbStatePair(Math.Round(combined[j], 5), state);
//toReturn.AddProbStatePair(Math.Round(combined[j], 5), StateFromHashset(ListHashMDP[j]));
}
}
return(toReturn);
}
public MDPStat BuildQuotientMDPBisimulation(VerificationOutput VerificationOutput)
{
MDPStat toReturn = new MDPStat(Precision, MAX_DIFFERENCE);
//calculate the nonsafe states, whose maximal prob is not 0
Stack <MDPStateStat> NonSafe = new Stack <MDPStateStat>(TargetStates);
Stack <MDPStateStat> helper = new Stack <MDPStateStat>(TargetStates);
//backward checking from target states
while (helper.Count != 0)
{
MDPStateStat t = helper.Pop();
foreach (MDPStateStat s in t.Pre)
{
bool addState = false;
//check each distribution; as long as s has a post state in NonSafe, then s should be added.
foreach (DistributionStat distribution in s.Distributions)
{
foreach (KeyValuePair <double, MDPStateStat> pair in distribution.States)
{
if (NonSafe.Contains(pair.Value))
{
addState = true;
//s.Distributions.Remove(distribution);
break;
}
}
if (addState)
{
break;
}
}
if (addState && !NonSafe.Contains(s))
{
helper.Push(s);
NonSafe.Push(s);
}
}
}
//note here remaining doesn't include the target states and initial states
HashSet <MDPStateStat> remaining = new HashSet <MDPStateStat>();
foreach (MDPStateStat mdpState in NonSafe)
{
if (!TargetStates.Contains(mdpState) && InitState != mdpState)
{
remaining.Add(mdpState);
}
}
//add Initial
MDPStateStat Initial = new MDPStateStat(InitState.ID);
toReturn.AddState(Initial);
toReturn.SetInit(Initial);
//add target
MDPStateStat Target = new MDPStateStat("target");
toReturn.AddState(Target);
toReturn.AddTargetStates(Target);
//add safe
MDPStateStat Safe = new MDPStateStat("safe");
toReturn.AddState(Safe);
//add remaining
//MDPStateStat Remaining = new MDPStateStat("remaining");
//toReturn.AddState(Remaining);
//add selfloop at Target.
//Target.AddDistribution(new DistributionStat(Constants.TAU, Target));
//add selfloop at Safe.
//Safe.AddDistribution(new DistributionStat(Constants.TAU, Safe));
//add the group distributions in Remaining
List <HashSet <MDPStateStat> > SeperatingRemaining = new List <HashSet <MDPStateStat> >();
SeperatingRemaining.Add(remaining);
bool refinement = true;
while (refinement)
{
refinement = false;
for (int i = 0; i < SeperatingRemaining.Count; i++)
{
HashSet <MDPStateStat> mdpStates = SeperatingRemaining[i];
if (mdpStates.Count > 1)
{
Dictionary <string, HashSet <MDPStateStat> > groups = SeperateGroup(SeperatingRemaining, mdpStates, Initial, Target, Safe);
if (groups.Count > 1)
{
SeperatingRemaining.RemoveAt(i--);
foreach (KeyValuePair <string, HashSet <MDPStateStat> > keyValuePair in groups)
{
SeperatingRemaining.Add(keyValuePair.Value);
}
refinement = true;
}
}
}
//List<HashSet<MDPStateStat>> NewSeperating = new List<HashSet<MDPStateStat>>();
//foreach (HashSet<MDPStateStat> mdpStates in SeperatingRemaining)
//{
// if (mdpStates.Count > 1)
// {
// int counter = 0;
// foreach (HashSet<MDPStateStat> grouped in SeperateGroup(SeperatingRemaining, mdpStates, Initial, Target, Safe).Values)
// {
// counter++;
// NewSeperating.Add(grouped);
// }
// if (counter > 1)
// {
// refinement = true;
// }
// }
// else
// {
// NewSeperating.Add(mdpStates);
// }
// }
////todo: reduce the loop number
//SeperatingRemaining = NewSeperating;
}
//add distributions after all the refinement
foreach (HashSet <MDPStateStat> mdpStates in SeperatingRemaining)
{
MDPStateStat Grouped = StateFromHashset(mdpStates);
//MDPStateStat Grouped = mdpStates[0];
toReturn.AddState(new MDPStateStat(Grouped.ID));
//FinalgroupedDistribution(SeperatingRemaining, mdpStates, Target, Safe, toReturn);
}
foreach (HashSet <MDPStateStat> mdpStates in SeperatingRemaining)
{
FinalgroupedDistribution(SeperatingRemaining, mdpStates, Target, Safe, toReturn);
}
//note: add initial state's distributions after refinement
FinalgroupedDistribution(SeperatingRemaining, InitState, Target, Safe, toReturn);
return(toReturn);
}
public void FinalgroupedDistribution(List <HashSet <MDPStateStat> > AfterRefined, HashSet <MDPStateStat> mdpStates, MDPStateStat Target, MDPStateStat Safe, MDPStat Returned)
{
foreach (MDPStateStat State in mdpStates)
{
FinalgroupedDistribution(AfterRefined, State, Target, Safe, Returned);
}
}
public void FinalgroupedDistribution(List<HashSet<MDPStateStat>> AfterRefined, HashSet<MDPStateStat> mdpStates, MDPStateStat Target, MDPStateStat Safe, MDPStat Returned)
{
foreach (MDPStateStat State in mdpStates)
{
FinalgroupedDistribution(AfterRefined, State, Target, Safe, Returned);
}
}
public void FinalgroupedDistribution(List<HashSet<MDPStateStat>> AfterRefined, MDPStateStat mdpState, MDPStateStat Target, MDPStateStat Safe, MDPStat Returned)
{
HashSet<DistributionStat> DistrToAdd = new HashSet<DistributionStat>();
foreach (DistributionStat Distr in mdpState.Distributions)
{
DistributionStat newDistr = calcGroupedDistr(AfterRefined, Distr, Returned.InitState, Target, Safe, Returned);
DistrToAdd.Add(newDistr);
}
foreach (DistributionStat distribution in DistrToAdd)
{
Returned.AddDistribution(mdpState.ID, distribution);
}
}
public DistributionStat calcGroupedDistr(List<HashSet<MDPStateStat>> ListHashMDP, DistributionStat Distr, MDPStateStat Initial, MDPStateStat Target, MDPStateStat Safe, MDPStat mdp)
{
DistributionStat toReturn = new DistributionStat(Distr.Event);
double toInit = 0;
double toTarget = 0;
double[] combined = new double[ListHashMDP.Count];
//MDPStateStat[] groupstates = new MDPStateStat[seperation.Count];
foreach (KeyValuePair<double, MDPStateStat> transition in Distr.States)
{
if (TargetStates.Contains(transition.Value))
{
toTarget += transition.Key;
}
else if (InitState == transition.Value)
{
toInit += transition.Key;
}
else
{
for (int i = 0; i < ListHashMDP.Count; i++)
{
if (ListHashMDP[i].Contains(transition.Value))
{
combined[i] += transition.Key;
break;
}
}
}
}
double toSafe = 1 - toTarget - toInit;
for (int i = 0; i < ListHashMDP.Count; i++)
{
toSafe -= combined[i];
}
if (toInit != 0)
{
toReturn.AddProbStatePair(Math.Round(toInit, 5), Initial);
}
if (toTarget != 0)
{
toReturn.AddProbStatePair(Math.Round(toTarget, 5), Target);
}
if (toSafe != 0)
{
toReturn.AddProbStatePair(Math.Round(toSafe, 5), Safe);
}
//toReturn.AddProbStatePair(toSafe, Safe);
for (int j = 0; j < ListHashMDP.Count; j++)
{
if (combined[j] != 0)
{
MDPStateStat state = mdp.States[StateFromHashset(ListHashMDP[j]).ID];
toReturn.AddProbStatePair(Math.Round(combined[j], 5), state);
//toReturn.AddProbStatePair(Math.Round(combined[j], 5), StateFromHashset(ListHashMDP[j]));
}
}
return toReturn;
}
public MDPStat BuildQuotientMDPBisimulation(VerificationOutput VerificationOutput)
{
MDPStat toReturn = new MDPStat(Precision, MAX_DIFFERENCE);
//calculate the nonsafe states, whose maximal prob is not 0
Stack<MDPStateStat> NonSafe = new Stack<MDPStateStat>(TargetStates);
Stack<MDPStateStat> helper = new Stack<MDPStateStat>(TargetStates);
//backward checking from target states
while (helper.Count != 0)
{
MDPStateStat t = helper.Pop();
foreach (MDPStateStat s in t.Pre)
{
bool addState = false;
//check each distribution; as long as s has a post state in NonSafe, then s should be added.
foreach (DistributionStat distribution in s.Distributions)
{
foreach (KeyValuePair<double, MDPStateStat> pair in distribution.States)
{
if (NonSafe.Contains(pair.Value))
{
addState = true;
//s.Distributions.Remove(distribution);
break;
}
}
if (addState)
{
break;
}
}
if (addState && !NonSafe.Contains(s))
{
helper.Push(s);
NonSafe.Push(s);
}
}
}
//note here remaining doesn't include the target states and initial states
HashSet<MDPStateStat> remaining = new HashSet<MDPStateStat>();
foreach (MDPStateStat mdpState in NonSafe)
{
if (!TargetStates.Contains(mdpState) && InitState != mdpState)
{
remaining.Add(mdpState);
}
}
//add Initial
MDPStateStat Initial = new MDPStateStat(InitState.ID);
toReturn.AddState(Initial);
toReturn.SetInit(Initial);
//add target
MDPStateStat Target = new MDPStateStat("target");
toReturn.AddState(Target);
toReturn.AddTargetStates(Target);
//add safe
MDPStateStat Safe = new MDPStateStat("safe");
toReturn.AddState(Safe);
//add remaining
//MDPStateStat Remaining = new MDPStateStat("remaining");
//toReturn.AddState(Remaining);
//add selfloop at Target.
//Target.AddDistribution(new DistributionStat(Constants.TAU, Target));
//add selfloop at Safe.
//Safe.AddDistribution(new DistributionStat(Constants.TAU, Safe));
//add the group distributions in Remaining
List<HashSet<MDPStateStat>> SeperatingRemaining = new List<HashSet<MDPStateStat>>();
SeperatingRemaining.Add(remaining);
bool refinement = true;
while (refinement)
{
refinement = false;
for (int i = 0; i < SeperatingRemaining.Count; i++)
{
HashSet<MDPStateStat> mdpStates = SeperatingRemaining[i];
if (mdpStates.Count > 1)
{
Dictionary<string, HashSet<MDPStateStat>> groups = SeperateGroup(SeperatingRemaining, mdpStates, Initial, Target, Safe);
if (groups.Count > 1)
{
SeperatingRemaining.RemoveAt(i--);
foreach (KeyValuePair<string, HashSet<MDPStateStat>> keyValuePair in groups)
{
SeperatingRemaining.Add(keyValuePair.Value);
}
refinement = true;
}
}
}
//List<HashSet<MDPStateStat>> NewSeperating = new List<HashSet<MDPStateStat>>();
//foreach (HashSet<MDPStateStat> mdpStates in SeperatingRemaining)
//{
// if (mdpStates.Count > 1)
// {
// int counter = 0;
// foreach (HashSet<MDPStateStat> grouped in SeperateGroup(SeperatingRemaining, mdpStates, Initial, Target, Safe).Values)
// {
// counter++;
// NewSeperating.Add(grouped);
// }
// if (counter > 1)
// {
// refinement = true;
// }
// }
// else
// {
// NewSeperating.Add(mdpStates);
// }
// }
////todo: reduce the loop number
//SeperatingRemaining = NewSeperating;
}
//add distributions after all the refinement
foreach (HashSet<MDPStateStat> mdpStates in SeperatingRemaining)
{
MDPStateStat Grouped = StateFromHashset(mdpStates);
//MDPStateStat Grouped = mdpStates[0];
toReturn.AddState(new MDPStateStat(Grouped.ID));
//FinalgroupedDistribution(SeperatingRemaining, mdpStates, Target, Safe, toReturn);
}
foreach (HashSet<MDPStateStat> mdpStates in SeperatingRemaining)
{
FinalgroupedDistribution(SeperatingRemaining, mdpStates, Target, Safe, toReturn);
}
//note: add initial state's distributions after refinement
FinalgroupedDistribution(SeperatingRemaining, InitState, Target, Safe, toReturn);
return toReturn;
}
public MDPStat BuildQuotientMDP(VerificationOutput VerificationOutput)
{
//return this;
MDPStat toReturn = new MDPStat(Precision, MAX_DIFFERENCE);
//todo change to set
List<KeyValuePair<string, string>> BoundaryOneTransition = new List<KeyValuePair<string, string>>();
//todo change to set
List<DistributionStat> ProbTransitions = new List<DistributionStat>();
Dictionary<string, List<DistributionStat>> GlobalProbTransitions = new Dictionary<string, List<DistributionStat>>();
StringDictionary<bool> visited = new StringDictionary<bool>(States.Count);
List<KeyValuePair<HashSet<string>, MDPStateStat>> sccs = new List<KeyValuePair<HashSet<string>, MDPStateStat>>();
Dictionary<string, int> preorder = new Dictionary<string, int>();
Dictionary<string, int> lowlink = new Dictionary<string, int>();
//HashSet<string> scc_found = new HashSet<string>();
Stack<MDPStateStat> TaskStack = new Stack<MDPStateStat>();
//Dictionary<string, List<string>> OutgoingTransitionTable = new Dictionary<string, List<string>>();
Stack<MDPStateStat> stepStack = new Stack<MDPStateStat>(1024);
visited.Add(InitState.ID, false);
TaskStack.Push(InitState);
//# Preorder counter
int preor = 0;
do
{
while (TaskStack.Count > 0)
{
MDPStateStat pair = TaskStack.Peek();
string v = pair.ID;
if (visited.GetContainsKey(v) && visited.GetContainsKey(v))
{
TaskStack.Pop();
continue;
}
if (!preorder.ContainsKey(v))
{
preorder.Add(v, preor);
preor++;
}
bool done = true;
List<DistributionStat> list = pair.Distributions;
List<MDPStateStat> nonProbTrans = new List<MDPStateStat>();
List<DistributionStat> ProbTrans = new List<DistributionStat>();
for (int i = 0; i < list.Count; i++)
{
if (list[i].IsTrivial())
{
nonProbTrans.Add(list[i].States[0].Value);
}
else
{
ProbTrans.Add(list[i]);
}
}
if (ProbTrans.Count > 0 && !GlobalProbTransitions.ContainsKey(v))
{
GlobalProbTransitions.Add(v, ProbTrans);
ProbTransitions.AddRange(ProbTrans);
}
for (int k = nonProbTrans.Count - 1; k >= 0; k--)
{
MDPStateStat step = nonProbTrans[k];
string tmp = step.ID;
if (visited.ContainsKey(tmp))
{
//if this node is still not visited
if (!preorder.ContainsKey(tmp))
{
//only put the first one to the work list stack.
//if there are more than one node to be visited,
//simply ignore them and keep its event step in the list.
if (done)
{
TaskStack.Push(step);
done = false;
}
}
}
else
{
visited.Add(tmp, false);
//OutgoingTransitionTable.Add(tmp, new List<string>(8));
//only put the first one into the stack.
if (done)
{
TaskStack.Push(step);
done = false;
}
}
}
if (done)
{
int lowlinkV = preorder[v];
int preorderV = preorder[v];
bool selfLoop = false;
for (int j = 0; j < nonProbTrans.Count; j++)
{
string w = nonProbTrans[j].ID;
if (w == v)
{
selfLoop = true;
}
if (!visited.GetContainsKey(w))
{
if (preorder[w] > preorderV)
{
lowlinkV = Math.Min(lowlinkV, lowlink[w]);
}
else
{
lowlinkV = Math.Min(lowlinkV, preorder[w]);
}
}
else //in this case, there is a tau transition leading to an SCC; must add the transition into the toReturn automaton
{
BoundaryOneTransition.Add(new KeyValuePair<string, string>(v, w));
}
}
lowlink[v] = lowlinkV;
TaskStack.Pop();
HashSet<string> scc = new HashSet<string>();
if (lowlinkV == preorderV)
{
scc.Add(v);
visited.SetValue(v, true);
while (stepStack.Count > 0 && preorder[stepStack.Peek().ID] > preorderV)
{
string s = stepStack.Pop().ID;
scc.Add(s);
visited.SetValue(s, true);
}
MDPStateStat newstate = new MDPStateStat(toReturn.States.Count.ToString());
if (scc.Count > 1 || (scc.Count == 1 && selfLoop))
{
newstate.AddDistribution(new DistributionStat(Constants.TAU, newstate)); //add self loop: sun jun
}
sccs.Add(new KeyValuePair<HashSet<string>, MDPStateStat>(scc, newstate));
toReturn.AddState(newstate);
if (scc.Contains(InitState.ID))
{
toReturn.SetInit(newstate);
}
foreach (MDPStateStat state in TargetStates)
{
if (scc.Contains(state.ID))
{
toReturn.AddTargetStates(newstate);
}
}
}
else
{
stepStack.Push(pair);
}
}
}
if (ProbTransitions.Count > 0)
{
foreach (DistributionStat step in ProbTransitions)
{
foreach (KeyValuePair<double, MDPStateStat> pair in step.States)
{
string stateID = pair.Value.ID;
if (!visited.ContainsKey(stateID))
{
TaskStack.Push(pair.Value);
visited.Add(stateID, false);
}
}
}
ProbTransitions.Clear();
}
} while (TaskStack.Count > 0);
foreach (KeyValuePair<string, string> pair in BoundaryOneTransition)
{
MDPStateStat source = null;
MDPStateStat target = null;
foreach (KeyValuePair<HashSet<string>, MDPStateStat> sccstate in sccs)
{
if (sccstate.Key.Contains(pair.Key))
{
source = sccstate.Value;
}
if (sccstate.Key.Contains(pair.Value))
{
target = sccstate.Value;
}
}
toReturn.AddDistribution(source.ID, new DistributionStat(Constants.TAU, target));
VerificationOutput.ReducedMDPTransitions++;
}
foreach (KeyValuePair<string, List<DistributionStat>> pair in GlobalProbTransitions)
{
MDPStateStat source = null;
foreach (KeyValuePair<HashSet<string>, MDPStateStat> sccstate in sccs)
{
if (sccstate.Key.Contains(pair.Key))
{
source = sccstate.Value;
break;
}
}
foreach (DistributionStat distribution in pair.Value)
{
DistributionStat disNew = new DistributionStat(distribution.Event);
foreach (KeyValuePair<double, MDPStateStat> state in distribution.States)
{
foreach (KeyValuePair<HashSet<string>, MDPStateStat> sccstate in sccs)
{
if (sccstate.Key.Contains(state.Value.ID))
{
disNew.AddProbStatePair(state.Key, sccstate.Value);
VerificationOutput.ReducedMDPTransitions++;
break;
}
}
}
toReturn.AddDistribution(source.ID, disNew);
}
}
VerificationOutput.ReducedMDPStates = toReturn.States.Count;
return toReturn;
}
//status=true means: single trial, otherwise, mutliple trails
public Simulation(MDPStat mdpl)
{
mdp = mdpl;
random = new Random();
}
public void FinalgroupedDistribution(List <HashSet <MDPStateStat> > AfterRefined, MDPStateStat mdpState, MDPStateStat Target, MDPStateStat Safe, MDPStat Returned)
{
HashSet <DistributionStat> DistrToAdd = new HashSet <DistributionStat>();
foreach (DistributionStat Distr in mdpState.Distributions)
{
DistributionStat newDistr = calcGroupedDistr(AfterRefined, Distr, Returned.InitState, Target, Safe, Returned);
DistrToAdd.Add(newDistr);
}
foreach (DistributionStat distribution in DistrToAdd)
{
Returned.AddDistribution(mdpState.ID, distribution);
}
}
public void setModel(MDPStat mdpstat)
{
mdp = mdpstat;
}
//status=true means: single trial, otherwise, mutliple trails
public Simulation(MDPStat mdpl)
{
mdp = mdpl;
random = new Random();
}
