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Extended DD-based model building to also build the MDP models of our benchmark suite. Added (MDP) tests for DD-based model building and explicit model building.

Former-commit-id: 4e18f98ee6
tempestpy_adaptions
dehnert 10 years ago
parent
commit
3977cafe73
  1. 90
      src/builder/DdPrismModelBuilder.cpp
  2. 5
      test/functional/builder/DdPrismModelBuilderTest.cpp
  3. 5
      test/functional/builder/ExplicitPrismModelBuilderTest.cpp
  4. 136
      test/functional/builder/brp-16-2.pm
  5. 69
      test/functional/builder/crowds-5-5.pm
  6. 31
      test/functional/builder/die.pm
  7. 85
      test/functional/builder/leader-3-5.pm
  8. 76
      test/functional/builder/nand-5-2.pm
  9. 219
      test/functional/builder/wlan0-2-2.nm
  10. 13
      wlan0_collide.nm

90
src/builder/DdPrismModelBuilder.cpp

@ -142,7 +142,6 @@ namespace storm {
commandDd += updateDd;
}
(guardDd * commandDd).exportToDot(module.getName() + "_" + command.getActionName() + ".dot");
return ActionDecisionDiagram(guardDd, guardDd * commandDd);
} else {
return ActionDecisionDiagram(*generationInfo.manager);
@ -161,22 +160,10 @@ namespace storm {
continue;
}
if (synchronizationActionIndex) {
std::cout << command << " is relevant for synch " << synchronizationActionIndex.get() << std::endl;
}
// At this point, the command is known to be relevant for the action.
commandDds.push_back(createCommandDecisionDiagram(generationInfo, module, command));
}
if (synchronizationActionIndex && synchronizationActionIndex.get() == 0) {
int i = 0;
for (auto const& commandDd : commandDds) {
commandDd.transitionsDd.exportToDot("cmd_" + std::to_string(i) + ".dot");
++i;
}
}
ActionDecisionDiagram result(*generationInfo.manager);
if (!commandDds.empty()) {
switch (generationInfo.program.getModelType()){
@ -214,14 +201,15 @@ namespace storm {
template <storm::dd::DdType Type>
storm::dd::Dd<Type> DdPrismModelBuilder<Type>::encodeChoice(GenerationInformation& generationInfo, uint_fast64_t nondeterminismVariableOffset, uint_fast64_t numberOfBinaryVariables, int_fast64_t value) {
storm::dd::Dd<Type> result = generationInfo.manager->getOne();
storm::dd::Dd<Type> result = generationInfo.manager->getZero();
STORM_LOG_TRACE("Encoding " << value << " with " << numberOfBinaryVariables << " binary variable(s) starting from offset " << nondeterminismVariableOffset << ".");
std::map<storm::expressions::Variable, int_fast64_t> metaVariableNameToValueMap;
for (uint_fast64_t i = nondeterminismVariableOffset; i < nondeterminismVariableOffset + numberOfBinaryVariables; ++i) {
if (value & (1ull << (numberOfBinaryVariables - i - 1))) {
metaVariableNameToValueMap.emplace(generationInfo.nondeterminismMetaVariables[i], 1);
}
else {
} else {
metaVariableNameToValueMap.emplace(generationInfo.nondeterminismMetaVariables[i], 0);
}
}
@ -243,6 +231,8 @@ namespace storm {
}
uint_fast64_t maxChoices = static_cast<uint_fast64_t>(sumOfGuards.getMax());
STORM_LOG_TRACE("Found " << maxChoices << " local choices.");
// Depending on the maximal number of nondeterminstic choices, we need to use some variables to encode the nondeterminism.
if (maxChoices == 0) {
return ActionDecisionDiagram(*generationInfo.manager);
@ -291,7 +281,7 @@ namespace storm {
// Calculate the overlapping part of command guard and the remaining DD.
storm::dd::Dd<Type> remainingGuardChoicesIntersection = guardChoicesIntersection && remainingDds[k];
// Check if we can add some overlapping parts to the current index
// Check if we can add some overlapping parts to the current index.
if (!remainingGuardChoicesIntersection.isZero()) {
// Remove overlapping parts from the remaining DD.
remainingDds[k] = remainingDds[k] && !remainingGuardChoicesIntersection;
@ -333,9 +323,6 @@ namespace storm {
storm::dd::Dd<Type> action1Extended = action1.transitionsDd * identityDd2;
storm::dd::Dd<Type> action2Extended = action2.transitionsDd * identityDd1;
action1.transitionsDd.exportToDot("act1.dot");
action2.transitionsDd.exportToDot("act2.dot");
if (generationInfo.program.getModelType() == storm::prism::Program::ModelType::DTMC) {
return ActionDecisionDiagram(action1.guardDd + action2.guardDd, action1Extended + action2Extended, 0);
} else if (generationInfo.program.getModelType() == storm::prism::Program::ModelType::MDP) {
@ -347,7 +334,6 @@ namespace storm {
// Bring both choices to the same number of variables that encode the nondeterminism.
uint_fast64_t numberOfUsedNondeterminismVariables = std::max(action1.numberOfUsedNondeterminismVariables, action2.numberOfUsedNondeterminismVariables);
std::cout << "max used nondet: " << numberOfUsedNondeterminismVariables << std::endl;
if (action1.numberOfUsedNondeterminismVariables > action2.numberOfUsedNondeterminismVariables) {
storm::dd::Dd<Type> nondeterminisimEncoding = generationInfo.manager->getOne();
@ -364,9 +350,6 @@ namespace storm {
action1Extended *= nondeterminisimEncoding;
}
action1Extended.exportToDot("act1ext.dot");
action2Extended.exportToDot("act2ext.dot");
// Add a new variable that resolves the nondeterminism between the two choices.
storm::dd::Dd<Type> combinedTransitions = generationInfo.manager->getEncoding(generationInfo.nondeterminismMetaVariables[numberOfUsedNondeterminismVariables], 1).ite(action2Extended, action1Extended);
@ -403,12 +386,10 @@ namespace storm {
// First, determine the highest number of nondeterminism variables that is used in any action and make
// all actions use the same amout of nondeterminism variables.
uint_fast64_t numberOfUsedNondeterminismVariables = module.numberOfUsedNondeterminismVariables;
std::cout << "pumping number of used nondet variables to " << numberOfUsedNondeterminismVariables << std::endl;
// Add variables to independent action DD.
storm::dd::Dd<Type> nondeterminismEncoding = generationInfo.manager->getOne();
for (uint_fast64_t i = module.independentAction.numberOfUsedNondeterminismVariables; i < numberOfUsedNondeterminismVariables; ++i) {
std::cout << "adding " << i << " to independent" << std::endl;
nondeterminismEncoding *= generationInfo.manager->getEncoding(generationInfo.nondeterminismMetaVariables[i], 0);
}
result = module.independentAction.transitionsDd * nondeterminismEncoding;
@ -446,7 +427,6 @@ namespace storm {
// Now, we can simply add all synchronizing actions to the result.
for (auto const& synchronizingAction : synchronizingActionToDdMap) {
synchronizingAction.second.exportToDot("synch" + std::to_string(synchronizingAction.first) + ".dot");
result += synchronizingAction.second;
}
@ -516,7 +496,6 @@ namespace storm {
system.identity = system.identity * nextModule.identity;
// Keep track of the number of nondeterminism variables used.
std::cout << "num used: " << numberOfUsedNondeterminismVariables << std::endl;
system.numberOfUsedNondeterminismVariables = std::max(system.numberOfUsedNondeterminismVariables, numberOfUsedNondeterminismVariables);
}
@ -528,9 +507,7 @@ namespace storm {
} else if (generationInfo.program.getModelType() == storm::prism::Program::ModelType::MDP) {
// For MDPs, we need to throw away the nondeterminism variables from the generation information that
// were never used.
std::cout << "System uses " << system.numberOfUsedNondeterminismVariables << "nd vars" << std::endl;
for (uint_fast64_t index = system.numberOfUsedNondeterminismVariables; index < generationInfo.nondeterminismMetaVariables.size(); ++index) {
std::cout << "removing " << generationInfo.nondeterminismMetaVariables[index].getName() << std::endl;
generationInfo.allNondeterminismVariables.erase(generationInfo.nondeterminismMetaVariables[index]);
}
generationInfo.nondeterminismMetaVariables.resize(system.numberOfUsedNondeterminismVariables);
@ -566,7 +543,7 @@ namespace storm {
}
preparedProgram = preparedProgram.substituteConstants();
std::cout << "translated prog: " << preparedProgram << std::endl;
// std::cout << "translated prog: " << preparedProgram << std::endl;
// Start by initializing the structure used for storing all information needed during the model generation.
// In particular, this creates the meta variables used to encode the model.
@ -575,51 +552,38 @@ namespace storm {
auto clock = std::chrono::high_resolution_clock::now();
std::pair<storm::dd::Dd<Type>, ModuleDecisionDiagram> transitionMatrixModulePair = createSystemDecisionDiagram(generationInfo);
storm::dd::Dd<Type> transitionMatrix = transitionMatrixModulePair.first;
transitionMatrix.exportToDot("trans.dot");
ModuleDecisionDiagram const& globalModule = transitionMatrixModulePair.second;
// Cut the transition matrix to the reachable fragment of the state space.
storm::dd::Dd<Type> reachableStates = computeReachableStates(generationInfo, createInitialStatesDecisionDiagram(generationInfo), transitionMatrix);
transitionMatrix *= reachableStates;
reachableStates.exportToDot("reach.dot");
// Detect deadlocks and 1) fix them if requested 2) throw an error otherwise.
storm::dd::Dd<Type> statesWithTransition = transitionMatrix.notZero();
if (program.getModelType() == storm::prism::Program::ModelType::MDP) {
statesWithTransition = statesWithTransition.existsAbstract(generationInfo.allNondeterminismVariables);
statesWithTransition.exportToDot("after_exists.dot");
}
statesWithTransition = statesWithTransition.existsAbstract(generationInfo.columnMetaVariables);
storm::dd::Dd<Type> deadlockStates = reachableStates * !statesWithTransition;
deadlockStates.exportToDot("deadlocks.dot");
// if (!deadlockStates.isZero()) {
// // If we need to fix deadlocks, we do so now.
// if (!storm::settings::generalSettings().isDontFixDeadlocksSet()) {
// std::cout << "fixing " << deadlockStates.getNonZeroCount() << std::endl;
// STORM_LOG_WARN("Fixing deadlocks in " << deadlockStates.getNonZeroCount() << " states.");
//
// if (program.getModelType() == storm::prism::Program::ModelType::DTMC) {
// // For DTMCs, we can simply add the identity of the global module for all deadlock states.
// transitionMatrix += deadlockStates * globalModule.identity;
// } else if (program.getModelType() == storm::prism::Program::ModelType::MDP) {
// // For MDPs, however, we need to select an action associated with the self-loop, if we do not
// // want to attach a lot of self-loops to the deadlock states.
// storm::dd::Dd<Type> action = generationInfo.manager->getOne();
// std::for_each(generationInfo.allNondeterminismVariables.begin(), generationInfo.allNondeterminismVariables.end(), [&action,&generationInfo] (storm::expressions::Variable const& metaVariable) { action *= !generationInfo.manager->getIdentity(metaVariable); } );
// transitionMatrix += deadlockStates * globalModule.identity * action;
// (deadlockStates * globalModule.identity * action).exportToDot("selfloops.dot");
// }
// } else {
// STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "The model contains " << deadlockStates.getNonZeroCount() << " deadlock states. Please unset the option to not fix deadlocks, if you want to fix them automatically.");
// }
// } else {
// std::cout << "no deadlocks" << std::endl;
// }
transitionMatrix.exportToDot("trans_reach.dot");
for (auto const& var : transitionMatrix.getContainedMetaVariables()) {
std::cout << "var: " << var.getName() << std::endl;
if (!deadlockStates.isZero()) {
// If we need to fix deadlocks, we do so now.
if (!storm::settings::generalSettings().isDontFixDeadlocksSet()) {
STORM_LOG_WARN("Fixing deadlocks in " << deadlockStates.getNonZeroCount() << " states.");
if (program.getModelType() == storm::prism::Program::ModelType::DTMC) {
// For DTMCs, we can simply add the identity of the global module for all deadlock states.
transitionMatrix += deadlockStates * globalModule.identity;
} else if (program.getModelType() == storm::prism::Program::ModelType::MDP) {
// For MDPs, however, we need to select an action associated with the self-loop, if we do not
// want to attach a lot of self-loops to the deadlock states.
storm::dd::Dd<Type> action = generationInfo.manager->getOne();
std::for_each(generationInfo.allNondeterminismVariables.begin(), generationInfo.allNondeterminismVariables.end(), [&action,&generationInfo] (storm::expressions::Variable const& metaVariable) { action *= !generationInfo.manager->getIdentity(metaVariable); } );
transitionMatrix += deadlockStates * globalModule.identity * action;
}
} else {
STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "The model contains " << deadlockStates.getNonZeroCount() << " deadlock states. Please unset the option to not fix deadlocks, if you want to fix them automatically.");
}
}
std::cout << reachableStates.getNonZeroCount() << " states and " << transitionMatrix.getNonZeroCount() << " transitions." << std::endl;
@ -647,8 +611,6 @@ namespace storm {
transitionBdd = transitionBdd.existsAbstract(generationInfo.allNondeterminismVariables);
}
transitionBdd.exportToDot("trans01.dot");
// Perform the BFS to discover all reachable states.
bool changed = true;
uint_fast64_t iteration = 0;

5
test/functional/builder/DdPrismModelBuilderTest.cpp

@ -60,4 +60,9 @@ TEST(DdPrismModelBuilderTest, Mdp) {
model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::translateProgram(program);
EXPECT_EQ(4093, model.first.getNonZeroCount());
EXPECT_EQ(5585, model.second.getNonZeroCount());
program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/wlan0-2-2.nm");
model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::translateProgram(program);
EXPECT_EQ(37, model.first.getNonZeroCount());
EXPECT_EQ(59, model.second.getNonZeroCount());
}

5
test/functional/builder/ExplicitPrismModelBuilderTest.cpp

@ -58,4 +58,9 @@ TEST(ExplicitPrismModelBuilderTest, Mdp) {
model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(4093, model->getNumberOfStates());
EXPECT_EQ(5585, model->getNumberOfTransitions());
program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/wlan0-2-2.nm");
model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(37, model->getNumberOfStates());
EXPECT_EQ(59, model->getNumberOfTransitions());
}

136
test/functional/builder/brp-16-2.pm

@ -0,0 +1,136 @@
// bounded retransmission protocol [D'AJJL01]
// gxn/dxp 23/05/2001
dtmc
// number of chunks
const int N = 16;
// maximum number of retransmissions
const int MAX = 2;
module sender
s : [0..6];
// 0 idle
// 1 next_frame
// 2 wait_ack
// 3 retransmit
// 4 success
// 5 error
// 6 wait sync
srep : [0..3];
// 0 bottom
// 1 not ok (nok)
// 2 do not know (dk)
// 3 ok (ok)
nrtr : [0..MAX];
i : [0..N];
bs : bool;
s_ab : bool;
fs : bool;
ls : bool;
// idle
[NewFile] (s=0) -> (s'=1) & (i'=1) & (srep'=0);
// next_frame
[aF] (s=1) -> (s'=2) & (fs'=(i=1)) & (ls'=(i=N)) & (bs'=s_ab) & (nrtr'=0);
// wait_ack
[aB] (s=2) -> (s'=4) & (s_ab'=!s_ab);
[TO_Msg] (s=2) -> (s'=3);
[TO_Ack] (s=2) -> (s'=3);
// retransmit
[aF] (s=3) & (nrtr<MAX) -> (s'=2) & (fs'=(i=1)) & (ls'=(i=N)) & (bs'=s_ab) & (nrtr'=nrtr+1);
[] (s=3) & (nrtr=MAX) & (i<N) -> (s'=5) & (srep'=1);
[] (s=3) & (nrtr=MAX) & (i=N) -> (s'=5) & (srep'=2);
// success
[] (s=4) & (i<N) -> (s'=1) & (i'=i+1);
[] (s=4) & (i=N) -> (s'=0) & (srep'=3);
// error
[SyncWait] (s=5) -> (s'=6);
// wait sync
[SyncWait] (s=6) -> (s'=0) & (s_ab'=false);
endmodule
module receiver
r : [0..5];
// 0 new_file
// 1 fst_safe
// 2 frame_received
// 3 frame_reported
// 4 idle
// 5 resync
rrep : [0..4];
// 0 bottom
// 1 fst
// 2 inc
// 3 ok
// 4 nok
fr : bool;
lr : bool;
br : bool;
r_ab : bool;
recv : bool;
// new_file
[SyncWait] (r=0) -> (r'=0);
[aG] (r=0) -> (r'=1) & (fr'=fs) & (lr'=ls) & (br'=bs) & (recv'=T);
// fst_safe_frame
[] (r=1) -> (r'=2) & (r_ab'=br);
// frame_received
[] (r=2) & (r_ab=br) & (fr=true) & (lr=false) -> (r'=3) & (rrep'=1);
[] (r=2) & (r_ab=br) & (fr=false) & (lr=false) -> (r'=3) & (rrep'=2);
[] (r=2) & (r_ab=br) & (fr=false) & (lr=true) -> (r'=3) & (rrep'=3);
[aA] (r=2) & !(r_ab=br) -> (r'=4);
// frame_reported
[aA] (r=3) -> (r'=4) & (r_ab'=!r_ab);
// idle
[aG] (r=4) -> (r'=2) & (fr'=fs) & (lr'=ls) & (br'=bs) & (recv'=T);
[SyncWait] (r=4) & (ls=true) -> (r'=5);
[SyncWait] (r=4) & (ls=false) -> (r'=5) & (rrep'=4);
// resync
[SyncWait] (r=5) -> (r'=0) & (rrep'=0);
endmodule
module checker // prevents more than one frame being set
T : bool;
[NewFile] (T=false) -> (T'=true);
endmodule
module channelK
k : [0..2];
// idle
[aF] (k=0) -> 0.98 : (k'=1) + 0.02 : (k'=2);
// sending
[aG] (k=1) -> (k'=0);
// lost
[TO_Msg] (k=2) -> (k'=0);
endmodule
module channelL
l : [0..2];
// idle
[aA] (l=0) -> 0.99 : (l'=1) + 0.01 : (l'=2);
// sending
[aB] (l=1) -> (l'=0);
// lost
[TO_Ack] (l=2) -> (l'=0);
endmodule
rewards
[aF] i=1 : 1;
endrewards
label "target" = s=5;

69
test/functional/builder/crowds-5-5.pm

@ -0,0 +1,69 @@
dtmc
// probability of forwarding
const double PF = 0.8;
const double notPF = .2; // must be 1-PF
// probability that a crowd member is bad
const double badC = .167;
// probability that a crowd member is good
const double goodC = 0.833;
// Total number of protocol runs to analyze
const int TotalRuns = 5;
// size of the crowd
const int CrowdSize = 5;
module crowds
// protocol phase
phase: [0..4] init 0;
// crowd member good (or bad)
good: bool init false;
// number of protocol runs
runCount: [0..TotalRuns] init 0;
// observe_i is the number of times the attacker observed crowd member i
observe0: [0..TotalRuns] init 0;
observe1: [0..TotalRuns] init 0;
observe2: [0..TotalRuns] init 0;
observe3: [0..TotalRuns] init 0;
observe4: [0..TotalRuns] init 0;
// the last seen crowd member
lastSeen: [0..CrowdSize - 1] init 0;
// get the protocol started
[] phase=0 & runCount<TotalRuns -> 1: (phase'=1) & (runCount'=runCount+1) & (lastSeen'=0);
// decide whether crowd member is good or bad according to given probabilities
[] phase=1 -> goodC : (phase'=2) & (good'=true) + badC : (phase'=2) & (good'=false);
// if the current member is a good member, update the last seen index (chosen uniformly)
[] phase=2 & good -> 1/5 : (lastSeen'=0) & (phase'=3) + 1/5 : (lastSeen'=1) & (phase'=3) + 1/5 : (lastSeen'=2) & (phase'=3) + 1/5 : (lastSeen'=3) & (phase'=3) + 1/5 : (lastSeen'=4) & (phase'=3);
// if the current member is a bad member, record the most recently seen index
[] phase=2 & !good & lastSeen=0 & observe0 < TotalRuns -> 1: (observe0'=observe0+1) & (phase'=4);
[] phase=2 & !good & lastSeen=1 & observe1 < TotalRuns -> 1: (observe1'=observe1+1) & (phase'=4);
[] phase=2 & !good & lastSeen=2 & observe2 < TotalRuns -> 1: (observe2'=observe2+1) & (phase'=4);
[] phase=2 & !good & lastSeen=3 & observe3 < TotalRuns -> 1: (observe3'=observe3+1) & (phase'=4);
[] phase=2 & !good & lastSeen=4 & observe4 < TotalRuns -> 1: (observe4'=observe4+1) & (phase'=4);
// good crowd members forward with probability PF and deliver otherwise
[] phase=3 -> PF : (phase'=1) + notPF : (phase'=4);
// deliver the message and start over
[] phase=4 -> 1: (phase'=0);
endmodule
label "observe0Greater1" = observe0>1;
label "observe1Greater1" = observe1>1;
label "observe2Greater1" = observe2>1;
label "observe3Greater1" = observe3>1;
label "observe4Greater1" = observe4>1;
label "observeIGreater1" = observe1>1|observe2>1|observe3>1|observe4>1;
label "observeOnlyTrueSender" = observe0>1&observe1<=1 & observe2<=1 & observe3<=1 & observe4<=1;

31
test/functional/builder/die.pm

@ -0,0 +1,31 @@
// Knuth's model of a fair die using only fair coins
dtmc
module die
// local state
s : [0..7] init 0;
// value of the dice
d : [0..6] init 0;
[] s=0 -> 0.5 : (s'=1) + 0.5 : (s'=2);
[] s=1 -> 0.5 : (s'=3) + 0.5 : (s'=4);
[] s=2 -> 0.5 : (s'=5) + 0.5 : (s'=6);
[] s=3 -> 0.5 : (s'=1) + 0.5 : (s'=7) & (d'=1);
[] s=4 -> 0.5 : (s'=7) & (d'=2) + 0.5 : (s'=7) & (d'=3);
[] s=5 -> 0.5 : (s'=7) & (d'=4) + 0.5 : (s'=7) & (d'=5);
[] s=6 -> 0.5 : (s'=2) + 0.5 : (s'=7) & (d'=6);
[] s=7 -> 1: (s'=7);
endmodule
rewards "coin_flips"
[] s<7 : 1;
endrewards
label "one" = s=7&d=1;
label "two" = s=7&d=2;
label "three" = s=7&d=3;
label "four" = s=7&d=4;
label "five" = s=7&d=5;
label "six" = s=7&d=6;

85
test/functional/builder/leader-3-5.pm

@ -0,0 +1,85 @@
// synchronous leader election protocol (itai & Rodeh)
// dxp/gxn 25/01/01
dtmc
// CONSTANTS
const int N = 3; // number of processes
const int K = 5; // range of probabilistic choice
// counter module used to count the number of processes that have been read
// and to know when a process has decided
module counter
// counter (c=i means process j reading process (i-1)+j next)
c : [1..N-1];
// reading
[read] c<N-1 -> 1:(c'=c+1);
// finished reading
[read] c=N-1 -> 1:(c'=c);
//decide
[done] u1|u2|u3 -> 1:(c'=c);
// pick again reset counter
[retry] !(u1|u2|u3) -> 1:(c'=1);
// loop (when finished to avoid deadlocks)
[loop] s1=3 -> 1:(c'=c);
endmodule
// processes form a ring and suppose:
// process 1 reads process 2
// process 2 reads process 3
// process 3 reads process 1
module process1
// local state
s1 : [0..3];
// s1=0 make random choice
// s1=1 reading
// s1=2 deciding
// s1=3 finished
// has a unique id so far (initially true)
u1 : bool;
// value to be sent to next process in the ring (initially sets this to its own value)
v1 : [0..K-1];
// random choice
p1 : [0..K-1];
// pick value
[pick] s1=0 -> 1/K : (s1'=1) & (p1'=0) & (v1'=0) & (u1'=true)
+ 1/K : (s1'=1) & (p1'=1) & (v1'=1) & (u1'=true)
+ 1/K : (s1'=1) & (p1'=2) & (v1'=2) & (u1'=true)
+ 1/K : (s1'=1) & (p1'=3) & (v1'=3) & (u1'=true)
+ 1/K : (s1'=1) & (p1'=4) & (v1'=4) & (u1'=true);
// read
[read] s1=1 & u1 & c<N-1 -> 1:(u1'=(p1!=v2)) & (v1'=v2);
[read] s1=1 & !u1 & c<N-1 -> 1:(u1'=false) & (v1'=v2) & (p1'=0);
// read and move to decide
[read] s1=1 & u1 & c=N-1 -> 1:(s1'=2) & (u1'=(p1!=v2)) & (v1'=0) & (p1'=0);
[read] s1=1 & !u1 & c=N-1 -> 1:(s1'=2) & (u1'=false) & (v1'=0);
// deciding
// done
[done] s1=2 -> 1:(s1'=3) & (u1'=false) & (v1'=0) & (p1'=0);
//retry
[retry] s1=2 -> 1:(s1'=0) & (u1'=false) & (v1'=0) & (p1'=0);
// loop (when finished to avoid deadlocks)
[loop] s1=3 -> 1:(s1'=3);
endmodule
// construct remaining processes through renaming
module process2 = process1 [ s1=s2,p1=p2,v1=v2,u1=u2,v2=v3 ] endmodule
module process3 = process1 [ s1=s3,p1=p3,v1=v3,u1=u3,v2=v1 ] endmodule
// expected number of rounds
rewards "num_rounds"
[pick] true : 1;
endrewards
// labels
label "elected" = s1=3&s2=3&s3=3;

76
test/functional/builder/nand-5-2.pm

@ -0,0 +1,76 @@
// nand multiplex system
// gxn/dxp 20/03/03
// U (correctly) performs a random permutation of the outputs of the previous stage
dtmc
const int N = 5; // number of inputs in each bundle
const int K = 2; // number of restorative stages
const int M = 2*K+1; // total number of multiplexing units
// parameters taken from the following paper
// A system architecture solution for unreliable nanoelectric devices
// J. Han & P. Jonker
// IEEEE trans. on nanotechnology vol 1(4) 2002
const double perr = 0.02; // probability nand works correctly
const double prob1 = 0.9; // probability initial inputs are stimulated
// model whole system as a single module by resuing variables
// to decrease the state space
module multiplex
u : [1..M]; // number of stages
c : [0..N]; // counter (number of copies of the nand done)
s : [0..4]; // local state
// 0 - initial state
// 1 - set x inputs
// 2 - set y inputs
// 3 - set outputs
// 4 - done
z : [0..N]; // number of new outputs equal to 1
zx : [0..N]; // number of old outputs equal to 1
zy : [0..N]; // need second copy for y
// initially 9 since initially probability of stimulated state is 0.9
x : [0..1]; // value of first input
y : [0..1]; // value of second input
[] s=0 & (c<N) -> (s'=1); // do next nand if have not done N yet
[] s=0 & (c=N) & (u<M) -> (s'=1) & (zx'=z) & (zy'=z) & (z'=0) & (u'=u+1) & (c'=0); // move on to next u if not finished
[] s=0 & (c=N) & (u=M) -> (s'=4) & (zx'=0) & (zy'=0) & (x'=0) & (y'=0); // finished (so reset variables not needed to reduce state space)
// choose x permute selection (have zx stimulated inputs)
// note only need y to be random
[] s=1 & u=1 -> prob1 : (x'=1) & (s'=2) + (1-prob1) : (x'=0) & (s'=2); // initially random
[] s=1 & u>1 & zx>0 -> (x'=1) & (s'=2) & (zx'=zx-1);
[] s=1 & u>1 & zx=0 -> (x'=0) & (s'=2);
// choose x randomly from selection (have zy stimulated inputs)
[] s=2 & u=1 -> prob1 : (y'=1) & (s'=3) + (1-prob1) : (y'=0) & (s'=3); // initially random
[] s=2 & u>1 & zy<(N-c) & zy>0 -> zy/(N-c) : (y'=1) & (s'=3) & (zy'=zy-1) + 1-(zy/(N-c)) : (y'=0) & (s'=3);
[] s=2 & u>1 & zy=(N-c) & c<N -> 1 : (y'=1) & (s'=3) & (zy'=zy-1);
[] s=2 & u>1 & zy=0 -> 1 : (y'=0) & (s'=3);
// use nand gate
[] s=3 & z<N & c<N -> (1-perr) : (z'=z+(1-x*y)) & (s'=0) & (c'=c+1) & (x'=0) & (y'=0) // not faulty
+ perr : (z'=z+(x*y)) & (s'=0) & (c'=c+1) & (x'=0) & (y'=0); // von neumann fault
// [] s=3 & z<N -> (1-perr) : (z'=z+(1-x*y)) & (s'=0) & (c'=c+1) & (x'=0) & (y'=0) // not faulty
// + perr : (z'=z+(x*y)) & (s'=0) & (c'=c+1) & (x'=0) & (y'=0); // von neumann fault
[] s=4 -> (s'=s);
endmodule
// rewards: final value of gate
rewards
// [] s=0 & (c=N) & (u=M) : z/N;
s=0 & (c=N) & (u=M) : z/N;
endrewards
label "target" = s=4 & z/N<0.1;
label "end" = s=4;

219
test/functional/builder/wlan0-2-2.nm

@ -0,0 +1,219 @@
// WLAN PROTOCOL (two stations)
// discrete time model
// gxn/jzs 20/02/02
mdp
// COLLISIONS
const int COL = 2; // maximum number of collisions
// TIMING CONSTRAINTS
// we have used the FHSS parameters
// then scaled by the value of ASLOTTIME
const int ASLOTTIME = 1;
const int DIFS = 3; // due to scaling can be either 2 or 3 which is modelled by a non-deterministic choice
const int VULN = 1; // due to scaling can be either 0 or 1 which is modelled by a non-deterministic choice
const int TRANS_TIME_MAX = 2; // scaling up
const int TRANS_TIME_MIN = 4; // scaling down
const int ACK_TO = 6;
const int ACK = 4; // due to scaling can be either 3 or 4 which is modelled by a non-deterministic choice
const int SIFS = 1; // due to scaling can be either 0 or 1 which is modelled by a non-deterministic choice
// maximum constant used in timing constraints + 1
const int TIME_MAX = max(ACK_TO,TRANS_TIME_MAX)+1;
// CONTENTION WINDOW
// CWMIN =15 & CWMAX =16
// this means that MAX_BACKOFF IS 2
const int MAX_BACKOFF = 0;
//-----------------------------------------------------------------//
// THE MEDIUM/CHANNEL
// FORMULAE FOR THE CHANNEL
// channel is busy
formula busy = c1>0 | c2>0;
// channel is free
formula free = c1=0 & c2=0;
module medium
// number of collisions
col : [0..COL];
// medium status
c1 : [0..2];
c2 : [0..2];
// ci corresponds to messages associated with station i
// 0 nothing being sent
// 1 being sent correctly
// 2 being sent garbled
// begin sending message and nothing else currently being sent
[send1] c1=0 & c2=0 -> (c1'=1);
[send2] c2=0 & c1=0 -> (c2'=1);
// begin sending message and something is already being sent
// in this case both messages become garbled
[send1] c1=0 & c2>0 -> (c1'=2) & (c2'=2) & (col'=min(col+1,COL));
[send2] c2=0 & c1>0 -> (c1'=2) & (c2'=2) & (col'=min(col+1,COL));
// finish sending message
[finish1] c1>0 -> (c1'=0);
[finish2] c2>0 -> (c2'=0);
endmodule
//-----------------------------------------------------------------//
// STATION 1
module station1
// clock for station 1
x1 : [0..TIME_MAX];
// local state
s1 : [1..12];
// 1 sense
// 2 wait until free before setting backoff
// 3 wait for DIFS then set slot
// 4 set backoff
// 5 backoff
// 6 wait until free in backoff
// 7 wait for DIFS then resume backoff
// 8 vulnerable
// 9 transmit
// 11 wait for SIFS and then ACK
// 10 wait for ACT_TO
// 12 done
// BACKOFF
// separate into slots
slot1 : [0..1];
backoff1 : [0..15];
// BACKOFF COUNTER
bc1 : [0..1];
// SENSE
// let time pass
[time] s1=1 & x1<DIFS & free -> (x1'=min(x1+1,TIME_MAX));
// ready to transmit
[] s1=1 & (x1=DIFS | x1=DIFS-1) -> (s1'=8) & (x1'=0);
// found channel busy so wait until free
[] s1=1 & busy -> (s1'=2) & (x1'=0);
// WAIT UNTIL FREE BEFORE SETTING BACKOFF
// let time pass (no need for the clock x1 to change)
[time] s1=2 & busy -> (s1'=2);
// find that channel is free so check its free for DIFS before setting backoff
[] s1=2 & free -> (s1'=3);
// WAIT FOR DIFS THEN SET BACKOFF
// let time pass
[time] s1=3 & x1<DIFS & free -> (x1'=min(x1+1,TIME_MAX));
// found channel busy so wait until free
[] s1=3 & busy -> (s1'=2) & (x1'=0);
// start backoff first uniformly choose slot
// backoff counter 0
[] s1=3 & (x1=DIFS | x1=DIFS-1) & bc1=0 -> (s1'=4) & (x1'=0) & (slot1'=0) & (bc1'=min(bc1+1,MAX_BACKOFF));
// SET BACKOFF (no time can pass)
// chosen slot now set backoff
[] s1=4 -> 1/16 : (s1'=5) & (backoff1'=0 )
+ 1/16 : (s1'=5) & (backoff1'=1 )
+ 1/16 : (s1'=5) & (backoff1'=2 )
+ 1/16 : (s1'=5) & (backoff1'=3 )
+ 1/16 : (s1'=5) & (backoff1'=4 )
+ 1/16 : (s1'=5) & (backoff1'=5 )
+ 1/16 : (s1'=5) & (backoff1'=6 )
+ 1/16 : (s1'=5) & (backoff1'=7 )
+ 1/16 : (s1'=5) & (backoff1'=8 )
+ 1/16 : (s1'=5) & (backoff1'=9 )
+ 1/16 : (s1'=5) & (backoff1'=10)
+ 1/16 : (s1'=5) & (backoff1'=11)
+ 1/16 : (s1'=5) & (backoff1'=12)
+ 1/16 : (s1'=5) & (backoff1'=13)
+ 1/16 : (s1'=5) & (backoff1'=14)
+ 1/16 : (s1'=5) & (backoff1'=15);
// BACKOFF
// let time pass
[time] s1=5 & x1<ASLOTTIME & free -> (x1'=min(x1+1,TIME_MAX));
// decrement backoff
[] s1=5 & x1=ASLOTTIME & backoff1>0 -> (s1'=5) & (x1'=0) & (backoff1'=backoff1-1);
[] s1=5 & x1=ASLOTTIME & backoff1=0 & slot1>0 -> (s1'=5) & (x1'=0) & (backoff1'=15) & (slot1'=slot1-1);
// finish backoff
[] s1=5 & x1=ASLOTTIME & backoff1=0 & slot1=0 -> (s1'=8) & (x1'=0);
// found channel busy
[] s1=5 & busy -> (s1'=6) & (x1'=0);
// WAIT UNTIL FREE IN BACKOFF
// let time pass (no need for the clock x1 to change)
[time] s1=6 & busy -> (s1'=6);
// find that channel is free
[] s1=6 & free -> (s1'=7);
// WAIT FOR DIFS THEN RESUME BACKOFF
// let time pass
[time] s1=7 & x1<DIFS & free -> (x1'=min(x1+1,TIME_MAX));
// resume backoff (start again from previous backoff)
[] s1=7 & (x1=DIFS | x1=DIFS-1) -> (s1'=5) & (x1'=0);
// found channel busy
[] s1=7 & busy -> (s1'=6) & (x1'=0);
// VULNERABLE
// let time pass
[time] s1=8 & x1<VULN -> (x1'=min(x1+1,TIME_MAX));
// move to transmit
[send1] s1=8 & (x1=VULN | x1=VULN-1) -> (s1'=9) & (x1'=0);
// TRANSMIT
// let time pass
[time] s1=9 & x1<TRANS_TIME_MAX -> (x1'=min(x1+1,TIME_MAX));
// finish transmission successful
[finish1] s1=9 & x1>=TRANS_TIME_MIN & c1=1 -> (s1'=10) & (x1'=0);
// finish transmission garbled
[finish1] s1=9 & x1>=TRANS_TIME_MIN & c1=2 -> (s1'=11) & (x1'=0);
// WAIT FOR SIFS THEN WAIT FOR ACK
// WAIT FOR SIFS i.e. c1=0
// check channel and busy: go into backoff
[] s1=10 & c1=0 & x1=0 & busy -> (s1'=2);
// check channel and free: let time pass
[time] s1=10 & c1=0 & x1=0 & free -> (x1'=min(x1+1,TIME_MAX));
// let time pass
// following guard is always false as SIFS=1
// [time] s1=10 & c1=0 & x1>0 & x1<SIFS -> (x1'=min(x1+1,TIME_MAX));
// ack is sent after SIFS (since SIFS-1=0 add condition that channel is free)
[send1] s1=10 & c1=0 & (x1=SIFS | (x1=SIFS-1 & free)) -> (s1'=10) & (x1'=0);
// WAIT FOR ACK i.e. c1=1
// let time pass
[time] s1=10 & c1=1 & x1<ACK -> (x1'=min(x1+1,TIME_MAX));
// get acknowledgement so packet sent correctly and move to done
[finish1] s1=10 & c1=1 & (x1=ACK | x1=ACK-1) -> (s1'=12) & (x1'=0) & (bc1'=0);
// WAIT FOR ACK_TO
// check channel and busy: go into backoff
[] s1=11 & x1=0 & busy -> (s1'=2);
// check channel and free: let time pass
[time] s1=11 & x1=0 & free -> (x1'=min(x1+1,TIME_MAX));
// let time pass
[time] s1=11 & x1>0 & x1<ACK_TO -> (x1'=min(x1+1,TIME_MAX));
// no acknowledgement (go to backoff waiting DIFS first)
[] s1=11 & x1=ACK_TO -> (s1'=3) & (x1'=0);
// DONE
[time] s1=12 -> (s1'=12);
endmodule
// ---------------------------------------------------------------------------- //
// STATION 2 (rename STATION 1)
module
station2=station1[x1=x2,
s1=s2,
s2=s1,
c1=c2,
c2=c1,
slot1=slot2,
backoff1=backoff2,
bc1=bc2,
send1=send2,
finish1=finish2]
endmodule
// ---------------------------------------------------------------------------- //
label "twoCollisions" = col=2;
label "fourCollisions" = col=4;
label "sixCollisions" = col=6;

13
wlan0_collide.nm

@ -1,13 +0,0 @@
mdp
module station1
s1 : [0..12] init 0;
// [] s1=0 -> (s1'=8) ;
[] s1=1 -> (s1'=1);
[] s1=1 -> (s1'=1);
//[] s1=8 -> (s1'=8);
endmodule
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