public void AddDistribution(DistributionStat distribution)
{
Distributions.Add(distribution);
foreach (KeyValuePair <double, MDPStateStat> pair in distribution.States)
{
pair.Value.Pre.Add(this);
}
}
public void AddDistribution(string sourceState, DistributionStat distribution)
{
MDPStateStat state;
if (States.TryGetValue(sourceState, out state))
{
state.AddDistribution(distribution);
}
}
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 MDPStateStat sampleNextState(DistributionStat action)
{
double value = random.NextDouble();
double accumulation = 0;
foreach (KeyValuePair <double, MDPStateStat> pair in action.States) //assume every state has distribution(s) with at least one pair
{
double preaccumulation = accumulation;
accumulation += pair.Key;
if (value > preaccumulation && value <= accumulation)
{
return(pair.Value);
}
}
return(null);
}
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 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);
}
//GL
public void assignAction(DistributionStat ds) //GL
{
this.action = ds;
ds.taken = true;
}
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 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 AddDistribution(string sourceState, DistributionStat distribution)
{
MDPStateStat state;
if (States.TryGetValue(sourceState, out state))
{
state.AddDistribution(distribution);
}
}
//GL
//GL
public void assignAction(DistributionStat ds)
{
this.action = ds;
ds.taken = true;
}
public void AddDistribution(DistributionStat distribution)
{
Distributions.Add(distribution);
foreach (KeyValuePair<double, MDPStateStat> pair in distribution.States)
{
pair.Value.Pre.Add(this);
}
}
public MDPStateStat sampleNextState(DistributionStat action)
{
double value = random.NextDouble();
double accumulation = 0;
foreach (KeyValuePair<double, MDPStateStat> pair in action.States) //assume every state has distribution(s) with at least one pair
{
double preaccumulation = accumulation;
accumulation += pair.Key;
if (value > preaccumulation && value <= accumulation) return pair.Value;
}
return null;
}