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Added function tests for CTMC creation and time-bounded reachability. 

Former-commit-id: e56f860a70
tempestpy_adaptions
dehnert 10 years ago
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  1. 126
      examples/ctmc/fms/fms.sm
  2. 38
      examples/ctmc/tandem/tandem.sm
  3. 5
      src/modelchecker/csl/SparseCtmcCslModelChecker.cpp
  4. 28
      test/functional/builder/ExplicitPrismModelBuilderTest.cpp
  5. 116
      test/functional/builder/cluster2.sm
  6. 151
      test/functional/builder/embedded2.sm
  7. 126
      test/functional/builder/fms2.sm
  8. 53
      test/functional/builder/polling2.sm
  9. 42
      test/functional/builder/tandem5.sm
  10. 169
      test/functional/modelchecker/SparseCtmcCslModelCheckerTest.cpp

126
examples/ctmc/fms/fms.sm
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// flexible manufacturing system [CT93]
// gxn/dxp 11/06/01
ctmc // model is a ctmc
const int n; // number of tokens
// rates from Pi equal #(Pi) * min(1, np/r)
// where np = (3n)/2 and r = P1+P2+P3+P12
const int np=floor((3*n)/2);
formula r = P1+P2+P3+P12;
module machine1
P1 : [0..n] init n;
P1wM1 : [0..n];
P1M1 : [0..3];
P1d : [0..n];
P1s : [0..n];
P1wP2 : [0..n];
M1 : [0..3] init 3;
[t1] (P1>0) & (M1>0) & (P1M1<3) -> P1*min(1,np/r) : (P1'=P1-1) & (P1M1'=P1M1+1) & (M1'=M1-1);
[t1] (P1>0) & (M1=0) & (P1wM1<n) -> P1*min(1,np/r) : (P1'=P1-1) & (P1wM1'=P1wM1+1);
[] (P1M1>0) & (P1wM1=0) & (M1<3) & (P1s<n) -> 0.2*P1M1 : (P1M1'=P1M1-1) & (M1'=M1+1) & (P1s'=P1s+1);
[] (P1M1>0) & (P1wM1>0) & (P1s<n) -> 0.2*P1M1 : (P1wM1'=P1wM1-1) & (P1s'=P1s+1);
[] (P1M1>0) & (P2wP1=0) & (P1wM1=0) & (M1<3) & (P1wP2<n) -> 0.05*P1M1 : (P1M1'=P1M1-1) & (M1'=M1+1) & (P1wP2'=P1wP2+1);
[] (P1M1>0) & (P2wP1=0) & (P1wM1>0) & (P1wP2<n) -> 0.05*P1M1 : (P1wM1'=P1wM1-1) & (P1wP2'=P1wP2+1);
[p1p2] (P1M1>0) & (P2wP1>0) & (P1wM1=0) & (M1<3) -> 0.05*P1M1 : (P1M1'=P1M1-1) & (M1'=M1+1);
[p1p2] (P1M1>0) & (P2wP1>0) & (P1wM1>0) -> 0.05*P1M1 : (P1wM1'=P1wM1-1);
[p1p2] (P1wP2>0) -> 1: (P1wP2'=P1wP2-1);
[] (P1s>0) & (P1+P1s<=n) -> 1/60 : (P1s'=0) & (P1'=P1+P1s);
[fp12] (P1+P12s<=n) -> 1: (P1'=P1+P12s);
endmodule
module machine2
P2 : [0..n] init n;
P2wM2 : [0..n];
P2M2 : [0..1];
P2s : [0..n];
P2wP1 : [0..n];
M2 : [0..1] init 1;
[t2] (P2>0) & (M2>0) & (P2M2<1) -> P2*min(1,np/r) : (P2'=P2-1) & (P2M2'=P2M2+1) & (M2'=M2-1);
[t2] (P2>0) & (M2=0) & (P2wM2<n) -> P2*min(1,np/r) : (P2'=P2-1) & (P2wM2'=P2wM2+1);
[] (P2M2>0) & (P2wM2=0) & (M2<1) & (P2s<n) -> 0.1 : (P2M2'=P2M2-1) & (M2'=M2+1) & (P2s'=P2s+1);
[] (P2M2>0) & (P2wM2>0) & (P2s<n) -> 0.1 : (P2wM2'=P2wM2-1) & (P2s'=P2s+1);
[] (P2M2>0) & (P1wP2=0) & (P2wM2=0) & (M2<1) & (P2wP1<n) -> 1/15: (P2M2'=P2M2-1) & (M2'=M2+1) & (P2wP1'=P2wP1+1);
[] (P2M2>0) & (P1wP2=0) & (P2wM2>0) & (P2wP1<n) -> 1/15: (P2wM2'=P2wM2-1) & (P2wP1'=P2wP1+1);
[p1p2] (P2M2>0) & (P1wP2>0) & (P2wM2=0) & (M2<1) -> 1/15: (P2M2'=P2M2-1) & (M2'=M2+1);
[p1p2] (P2M2>0) & (P1wP2>0) & (P2wM2>0) -> 1/15: (P2wM2'=P2wM2-1);
[p1p2] (P2wP1>0) -> 1 : (P2wP1'=P2wP1-1);
[] (P2s>0) & (P2+P2s<=n) -> 1/60 : (P2s'=0) & (P2'=P2+P2s);
[fp12] (P2+P12s<=n) -> 1 : (P2'=P2+P12s);
[p2p3] (M2>0) -> 1 : (M2'=M2);
endmodule
module machine3
P3 : [0..n] init n;
P3M2 : [0..n];
P3s : [0..n];
[t3] (P3>0) & (P3M2<n) -> P3*min(1,np/r) : (P3'=P3-1) & (P3M2'=P3M2+1);
[p2p3] (P3M2>0) & (P3s<n) -> 1/2 : (P3M2'=P3M2-1) & (P3s'=P3s+1);
[] (P3s>0) & (P3+P3s<=n) -> 1/60 : (P3s'=0) & (P3'=P3+P3s);
endmodule
module machine12
P12 : [0..n];
P12wM3 : [0..n];
P12M3 : [0..2];
P12s : [0..n];
M3 : [0..2] init 2;
[p1p2] (P12<n) -> 1: (P12'=P12+1);
[t12] (P12>0) & (M3>0) & (P12M3<2) -> P12*min(1,np/r) : (P12'=P12-1) & (P12M3'=P12M3+1) & (M3'=M3-1);
[t12] (P12>0) & (M3=0) & (P12wM3<n) -> P12*min(1,np/r) : (P12'=P12-1) & (P12wM3'=P12wM3+1);
[] (P12M3>0) & (P12wM3=0) & (P12s<n) & (M3<2) -> P12M3 : (P12M3'=P12M3-1) & (P12s'=P12s+1) & (M3'=M3+1);
[] (P12M3>0) & (P12wM3>0) & (P12s<n) -> P12M3 : (P12wM3'=P12wM3-1) & (P12s'=P12s+1);
[fp12] (P12s>0) -> 1/60 : (P12s'=0);
endmodule
// reward structures
// throughput of machine1
rewards "throughput_m1"
[t1] true : 1;
endrewards
// throughput of machine2
rewards "throughput_m2"
[t2] true : 1;
endrewards
// throughput of machine3
rewards "throughput_m3"
[t3] true : 1;
endrewards
// throughput of machine12
rewards "throughput_m12"
[t12] true : 1;
endrewards
// productivity of the system
rewards "productivity"
[t1] true : 400;
[t2] true : 600;
[t3] true : 100;
[t12] true : 1100;
endrewards

38
examples/ctmc/tandem/tandem.sm
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// tandem queueing network [HKMKS99]
// gxn/dxp 25/01/00
ctmc
const int c; // queue capacity
const double lambda = 4*c;
const double mu1a = 0.1*2;
const double mu1b = 0.9*2;
const double mu2 = 2;
const double kappa = 4;
module serverC
sc : [0..c];
ph : [1..2];
[] (sc<c) -> lambda: (sc'=sc+1);
[route] (sc>0) & (ph=1) -> mu1b: (sc'=sc-1);
[] (sc>0) & (ph=1) -> mu1a: (ph'=2);
[route] (sc>0) & (ph=2) -> mu2: (ph'=1) & (sc'=sc-1);
endmodule
module serverM
sm : [0..c];
[route] (sm<c) -> 1: (sm'=sm+1);
[] (sm>0) -> kappa: (sm'=sm-1);
endmodule
// reward - number of customers in network
rewards "customers"
true : sc + sm;
endrewards

5
src/modelchecker/csl/SparseCtmcCslModelChecker.cpp
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@ -228,6 +228,11 @@ namespace storm {
template<class ValueType>
std::vector<ValueType> SparseCtmcCslModelChecker<ValueType>::computeTransientProbabilities(storm::storage::SparseMatrix<ValueType> const& uniformizedMatrix, ValueType const& lambda, std::vector<ValueType> values, storm::solver::LinearEquationSolver<ValueType> const& linearEquationSolver) const {
// If no time can pass, the current values are the result.
if (lambda == storm::utility::zero<ValueType>()) {
return values;
}
// Use Fox-Glynn to get the truncation points and the weights.
std::tuple<uint_fast64_t, uint_fast64_t, ValueType, std::vector<ValueType>> foxGlynnResult = storm::utility::numerical::getFoxGlynnCutoff(lambda, 1e-300, 1e+300, storm::settings::generalSettings().getPrecision() / 8.0);

28
test/functional/builder/ExplicitPrismModelBuilderTest.cpp
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@ -32,6 +32,34 @@ TEST(ExplicitPrismModelBuilderTest, Dtmc) {
EXPECT_EQ(2505, model->getNumberOfTransitions());
}
TEST(ExplicitPrismModelBuilderTest, Ctmc) {
storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/cluster2.sm");
std::shared_ptr<storm::models::sparse::Model<double>> model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(276, model->getNumberOfStates());
EXPECT_EQ(1120, model->getNumberOfTransitions());
program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/embedded2.sm");
model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(3478, model->getNumberOfStates());
EXPECT_EQ(14639, model->getNumberOfTransitions());
program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/polling2.sm");
model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(12, model->getNumberOfStates());
EXPECT_EQ(22, model->getNumberOfTransitions());
program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/fms2.sm");
model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(810, model->getNumberOfStates());
EXPECT_EQ(3699, model->getNumberOfTransitions());
program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/tandem5.sm");
model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
EXPECT_EQ(66, model->getNumberOfStates());
EXPECT_EQ(189, model->getNumberOfTransitions());
}
TEST(ExplicitPrismModelBuilderTest, Mdp) {
storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/two_dice.nm");

116
test/functional/builder/cluster2.sm
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@ -0,0 +1,116 @@
// Workstation cluster [HHK00]
// dxp/gxn 11/01/00
ctmc
const int N = 2; // Number of workstations in each cluster
const int left_mx = N; // Number of work stations in left cluster
const int right_mx = N; // Number of work stations in right cluster
// Failure rates
const double ws_fail = 1/500; // Single workstation: average time to fail = 500 hrs
const double switch_fail = 1/4000; // Switch: average time to fail = 4000 hrs
const double line_fail = 1/5000; // Backbone: average time to fail = 5000 hrs
// Left cluster
module Left
left_n : [0..left_mx] init left_mx; // Number of workstations operational
left : bool; // Being repaired?
[startLeft] !left & (left_n<left_mx) -> 1 : (left'=true);
[repairLeft] left & (left_n<left_mx) -> 1 : (left'=false) & (left_n'=left_n+1);
[] (left_n>0) -> ws_fail*left_n : (left_n'=left_n-1);
endmodule
// Right cluster
module Right = Left[left_n=right_n,
left=right,
left_mx=right_mx,
startLeft=startRight,
repairLeft=repairRight ]
endmodule
// Repair unit
module Repairman
r : bool; // Repairing?
[startLeft] !r -> 10 : (r'=true); // Inspect Left
[startRight] !r -> 10 : (r'=true); // Inspect Right
[startToLeft] !r -> 10 : (r'=true); // Inspect ToLeft
[startToRight] !r -> 10 : (r'=true); // Inspect ToRight
[startLine] !r -> 10 : (r'=true); // Inspect Line
[repairLeft] r -> 2 : (r'=false); // Repair Left
[repairRight] r -> 2 : (r'=false); // Repair Right
[repairToLeft] r -> 0.25 : (r'=false); // Repair ToLeft
[repairToRight] r -> 0.25 : (r'=false); // Repair ToRight
[repairLine] r -> 0.125 : (r'=false); // Repair Line
endmodule
// Line/backbone
module Line
line : bool; // Being repaired?
line_n : bool init true; // Working?
[startLine] !line & !line_n -> 1 : (line'=true);
[repairLine] line & !line_n -> 1 : (line'=false) & (line_n'=true);
[] line_n -> line_fail : (line_n'=false);
endmodule
// Left switch
module ToLeft = Line[line=toleft,
line_n=toleft_n,
line_fail=switch_fail,
startLine=startToLeft,
repairLine=repairToLeft ]
endmodule
// Right switch
module ToRight = Line[line=toright,
line_n=toright_n,
line_fail=switch_fail,
startLine=startToRight,
repairLine=repairToRight ]
endmodule
// Formulas + labels
// Minimum QoS requires 3/4 connected workstations operational
const int k = floor(0.75*N);
// left_operational_i : left_n>=i & toleft_n
// right_operational_i : right_n>=i & toright_n
// operational_i : (left_n+right_n)>=i & toleft_n & line_n & toright_n
// minimum_k : left_operational_k | right_operational_k | operational_k
formula minimum = (left_n>=k & toleft_n) |
(right_n>=k & toright_n) |
((left_n+right_n)>=k & toleft_n & line_n & toright_n);
label "minimum" = (left_n>=k & toleft_n) | (right_n>=k & toright_n) | ((left_n+right_n)>=k & toleft_n & line_n & toright_n);
// premium = minimum_N
label "premium" = (left_n>=left_mx & toleft_n) | (right_n>=right_mx & toright_n) | ((left_n+right_n)>=left_mx & toleft_n & line_n & toright_n);
// Reward structures
// Percentage of operational workstations stations
rewards "percent_op"
true : 100*(left_n+right_n)/(2*N);
endrewards
// Time that the system is not delivering at least minimum QoS
rewards "time_not_min"
!minimum : 1;
endrewards
// Number of repairs
rewards "num_repairs"
[repairLeft] true : 1;
[repairRight] true : 1;
[repairToLeft] true : 1;
[repairToRight] true : 1;
[repairLine] true : 1;
endrewards

151
test/functional/builder/embedded2.sm
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@ -0,0 +1,151 @@
ctmc
// constants
const int MAX_COUNT = 2;
const int MIN_SENSORS = 2;
const int MIN_ACTUATORS = 1;
// rates
const double lambda_p = 1/(365*24*60*60); // 1 year
const double lambda_s = 1/(30*24*60*60); // 1 month
const double lambda_a = 1/(2*30*24*60*60); // 2 months
const double tau = 1/60; // 1 min
const double delta_f = 1/(24*60*60); // 1 day
const double delta_r = 1/30; // 30 secs
// sensors
module sensors
s : [0..3] init 3; // number of sensors working
[] s>1 -> s*lambda_s : (s'=s-1); // failure of a single sensor
endmodule
// input processor
// (takes data from sensors and passes onto main processor)
module proci
i : [0..2] init 2; // 2=ok, 1=transient fault, 0=failed
[] i>0 & s>=MIN_SENSORS -> lambda_p : (i'=0); // failure of processor
[] i=2 & s>=MIN_SENSORS -> delta_f : (i'=1); // transient fault
[input_reboot] i=1 & s>=MIN_SENSORS -> delta_r : (i'=2); // reboot after transient fault
endmodule
// actuators
module actuators
a : [0..2] init 2; // number of actuators working
[] a>0 -> a*lambda_a : (a'=a-1); // failure of a single actuator
endmodule
// output processor
// (receives instructions from main processor and passes onto actuators)
module proco = proci [ i=o, s=a, input_reboot=output_reboot, MIN_SENSORS=MIN_ACTUATORS ] endmodule
// main processor
// (takes data from proci, processes it, and passes instructions to proco)
module procm
m : [0..1] init 1; // 1=ok, 0=failed
count : [0..MAX_COUNT+1] init 0; // number of consecutive skipped cycles
// failure of processor
[] m=1 -> lambda_p : (m'=0);
// processing completed before timer expires - reset skipped cycle counter
[timeout] comp -> tau : (count'=0);
// processing not completed before timer expires - increment skipped cycle counter
[timeout] !comp -> tau : (count'=min(count+1, MAX_COUNT+1));
endmodule
// connecting bus
module bus
// flags
// main processor has processed data from input processor
// and sent corresponding instructions to output processor (since last timeout)
comp : bool init true;
// input processor has data ready to send
reqi : bool init true;
// output processor has instructions ready to be processed
reqo : bool init false;
// input processor reboots
[input_reboot] true -> 1 :
// performs a computation if has already done so or
// it is up and ouput clear (i.e. nothing waiting)
(comp'=(comp | (m=1 & !reqo)))
// up therefore something to process
& (reqi'=true)
// something to process if not functioning and either
// there is something already pending
// or the main processor sends a request
& (reqo'=!(o=2 & a>=1) & (reqo | m=1));
// output processor reboots
[output_reboot] true -> 1 :
// performs a computation if it has already or
// something waiting and is up
// (can be processes as the output has come up and cleared pending requests)
(comp'=(comp | (reqi & m=1)))
// something to process it they are up or
// there was already something and the main processor acts
// (output now up must be due to main processor being down)
& (reqi'=(i=2 & s>=2) | (reqi & m=0))
// output and actuators up therefore nothing can be pending
& (reqo'=false);
// main processor times out
[timeout] true -> 1 :
// performs a computation if it is up something was pending
// and nothing is waiting for the output
(comp'=(reqi & !reqo & m=1))
// something to process if up or
// already something and main process cannot act
// (down or outputs pending)
& (reqi'=(i=2 & s>=2) | (reqi & (reqo | m=0)))
// something to process if they are not functioning and
// either something is already pending
// or the main processor acts
& (reqo'=!(o=2 & a>=1) & (reqo | (reqi & m=1)));
endmodule
// the system is down
formula down = (i=2&s<MIN_SENSORS)|(count=MAX_COUNT+1)|(o=2&a<MIN_ACTUATORS)|(m=0);
// transient failure has occured but the system is not down
formula danger = !down & (i=1 | o=1);
// the system is operational
formula up = !down & !danger;
// reward structures
rewards "up"
up : 1/3600;
endrewards
rewards "danger"
danger : 1/3600;
endrewards
rewards "down"
down : 1/3600;
endrewards
//labels
// causes of failues
label "fail_sensors" = i=2&s<MIN_SENSORS; // sensors have failed
label "fail_actuators" = o=2&a<MIN_ACTUATORS; // actuators have failed
label "fail_io" = count=MAX_COUNT+1; // IO has failed
label "fail_main" = m=0; // ,main processor has failed
// system status
label "down" = (i=2&s<MIN_SENSORS)|(count=MAX_COUNT+1)|(o=2&a<MIN_ACTUATORS)|(m=0); // system has shutdown
label "danger" = !down & (i=1 | o=1); // transient fault has occured
label "up" = !down & !danger;

126
test/functional/builder/fms2.sm
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// flexible manufacturing system [CT93]
// gxn/dxp 11/06/01
ctmc // model is a ctmc
const int n = 2; // number of tokens
// rates from Pi equal #(Pi) * min(1, np/r)
// where np = (3n)/2 and r = P1+P2+P3+P12
const int np=floor((3*n)/2);
formula r = P1+P2+P3+P12;
module machine1
P1 : [0..n] init n;
P1wM1 : [0..n];
P1M1 : [0..3];
P1d : [0..n];
P1s : [0..n];
P1wP2 : [0..n];
M1 : [0..3] init 3;
[t1] (P1>0) & (M1>0) & (P1M1<3) -> P1*min(1,np/r) : (P1'=P1-1) & (P1M1'=P1M1+1) & (M1'=M1-1);
[t1] (P1>0) & (M1=0) & (P1wM1<n) -> P1*min(1,np/r) : (P1'=P1-1) & (P1wM1'=P1wM1+1);
[] (P1M1>0) & (P1wM1=0) & (M1<3) & (P1s<n) -> 0.2*P1M1 : (P1M1'=P1M1-1) & (M1'=M1+1) & (P1s'=P1s+1);
[] (P1M1>0) & (P1wM1>0) & (P1s<n) -> 0.2*P1M1 : (P1wM1'=P1wM1-1) & (P1s'=P1s+1);
[] (P1M1>0) & (P2wP1=0) & (P1wM1=0) & (M1<3) & (P1wP2<n) -> 0.05*P1M1 : (P1M1'=P1M1-1) & (M1'=M1+1) & (P1wP2'=P1wP2+1);
[] (P1M1>0) & (P2wP1=0) & (P1wM1>0) & (P1wP2<n) -> 0.05*P1M1 : (P1wM1'=P1wM1-1) & (P1wP2'=P1wP2+1);
[p1p2] (P1M1>0) & (P2wP1>0) & (P1wM1=0) & (M1<3) -> 0.05*P1M1 : (P1M1'=P1M1-1) & (M1'=M1+1);
[p1p2] (P1M1>0) & (P2wP1>0) & (P1wM1>0) -> 0.05*P1M1 : (P1wM1'=P1wM1-1);
[p1p2] (P1wP2>0) -> 1: (P1wP2'=P1wP2-1);
[] (P1s>0) & (P1+P1s<=n) -> 1/60 : (P1s'=0) & (P1'=P1+P1s);
[fp12] (P1+P12s<=n) -> 1: (P1'=P1+P12s);
endmodule
module machine2
P2 : [0..n] init n;
P2wM2 : [0..n];
P2M2 : [0..1];
P2s : [0..n];
P2wP1 : [0..n];
M2 : [0..1] init 1;
[t2] (P2>0) & (M2>0) & (P2M2<1) -> P2*min(1,np/r) : (P2'=P2-1) & (P2M2'=P2M2+1) & (M2'=M2-1);
[t2] (P2>0) & (M2=0) & (P2wM2<n) -> P2*min(1,np/r) : (P2'=P2-1) & (P2wM2'=P2wM2+1);
[] (P2M2>0) & (P2wM2=0) & (M2<1) & (P2s<n) -> 0.1 : (P2M2'=P2M2-1) & (M2'=M2+1) & (P2s'=P2s+1);
[] (P2M2>0) & (P2wM2>0) & (P2s<n) -> 0.1 : (P2wM2'=P2wM2-1) & (P2s'=P2s+1);
[] (P2M2>0) & (P1wP2=0) & (P2wM2=0) & (M2<1) & (P2wP1<n) -> 1/15: (P2M2'=P2M2-1) & (M2'=M2+1) & (P2wP1'=P2wP1+1);
[] (P2M2>0) & (P1wP2=0) & (P2wM2>0) & (P2wP1<n) -> 1/15: (P2wM2'=P2wM2-1) & (P2wP1'=P2wP1+1);
[p1p2] (P2M2>0) & (P1wP2>0) & (P2wM2=0) & (M2<1) -> 1/15: (P2M2'=P2M2-1) & (M2'=M2+1);
[p1p2] (P2M2>0) & (P1wP2>0) & (P2wM2>0) -> 1/15: (P2wM2'=P2wM2-1);
[p1p2] (P2wP1>0) -> 1 : (P2wP1'=P2wP1-1);
[] (P2s>0) & (P2+P2s<=n) -> 1/60 : (P2s'=0) & (P2'=P2+P2s);
[fp12] (P2+P12s<=n) -> 1 : (P2'=P2+P12s);
[p2p3] (M2>0) -> 1 : (M2'=M2);
endmodule
module machine3
P3 : [0..n] init n;
P3M2 : [0..n];
P3s : [0..n];
[t3] (P3>0) & (P3M2<n) -> P3*min(1,np/r) : (P3'=P3-1) & (P3M2'=P3M2+1);
[p2p3] (P3M2>0) & (P3s<n) -> 1/2 : (P3M2'=P3M2-1) & (P3s'=P3s+1);
[] (P3s>0) & (P3+P3s<=n) -> 1/60 : (P3s'=0) & (P3'=P3+P3s);
endmodule
module machine12
P12 : [0..n];
P12wM3 : [0..n];
P12M3 : [0..2];
P12s : [0..n];
M3 : [0..2] init 2;
[p1p2] (P12<n) -> 1: (P12'=P12+1);
[t12] (P12>0) & (M3>0) & (P12M3<2) -> P12*min(1,np/r) : (P12'=P12-1) & (P12M3'=P12M3+1) & (M3'=M3-1);
[t12] (P12>0) & (M3=0) & (P12wM3<n) -> P12*min(1,np/r) : (P12'=P12-1) & (P12wM3'=P12wM3+1);
[] (P12M3>0) & (P12wM3=0) & (P12s<n) & (M3<2) -> P12M3 : (P12M3'=P12M3-1) & (P12s'=P12s+1) & (M3'=M3+1);
[] (P12M3>0) & (P12wM3>0) & (P12s<n) -> P12M3 : (P12wM3'=P12wM3-1) & (P12s'=P12s+1);
[fp12] (P12s>0) -> 1/60 : (P12s'=0);
endmodule
// reward structures
// throughput of machine1
rewards "throughput_m1"
[t1] true : 1;
endrewards
// throughput of machine2
rewards "throughput_m2"
[t2] true : 1;
endrewards
// throughput of machine3
rewards "throughput_m3"
[t3] true : 1;
endrewards
// throughput of machine12
rewards "throughput_m12"
[t12] true : 1;
endrewards
// productivity of the system
rewards "productivity"
[t1] true : 400;
[t2] true : 600;
[t3] true : 100;
[t12] true : 1100;
endrewards

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test/functional/builder/polling2.sm
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// polling example [IT90]
// gxn/dxp 26/01/00
ctmc
const int N = 2;
const double mu = 1;
const double gamma = 200;
const double lambda = mu/N;
module server
s : [1..2]; // station
a : [0..1]; // action: 0=polling, 1=serving
[loop1a] (s=1)&(a=0) -> gamma : (s'=s+1);
[loop1b] (s=1)&(a=0) -> gamma : (a'=1);
[serve1] (s=1)&(a=1) -> mu : (s'=s+1)&(a'=0);
[loop2a] (s=2)&(a=0) -> gamma : (s'=1);
[loop2b] (s=2)&(a=0) -> gamma : (a'=1);
[serve2] (s=2)&(a=1) -> mu : (s'=1)&(a'=0);
endmodule
module station1
s1 : [0..1]; // state of station: 0=empty, 1=full
[loop1a] (s1=0) -> 1 : (s1'=0);
[] (s1=0) -> lambda : (s1'=1);
[loop1b] (s1=1) -> 1 : (s1'=1);
[serve1] (s1=1) -> 1 : (s1'=0);
endmodule
// construct further stations through renaming
module station2 = station1 [ s1=s2, loop1a=loop2a, loop1b=loop2b, serve1=serve2 ] endmodule
// (cumulative) rewards
// expected time station 1 is waiting to be served
rewards "waiting"
s1=1 & !(s=1 & a=1) : 1;
endrewards
// expected number of times station 1 is served
rewards "served"
[serve1] true : 1;
endrewards
label "target" = s=1&a=0;

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test/functional/builder/tandem5.sm
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// tandem queueing network [HKMKS99]
// gxn/dxp 25/01/00
ctmc
const int c = 5; // queue capacity
const double lambda = 4*c;
const double mu1a = 0.1*2;
const double mu1b = 0.9*2;
const double mu2 = 2;
const double kappa = 4;
module serverC
sc : [0..c];
ph : [1..2];
[] (sc<c) -> lambda: (sc'=sc+1);
[route] (sc>0) & (ph=1) -> mu1b: (sc'=sc-1);
[] (sc>0) & (ph=1) -> mu1a: (ph'=2);
[route] (sc>0) & (ph=2) -> mu2: (ph'=1) & (sc'=sc-1);
endmodule
module serverM
sm : [0..c];
[route] (sm<c) -> 1: (sm'=sm+1);
[] (sm>0) -> kappa: (sm'=sm-1);
endmodule
// reward - number of customers in network
rewards "customers"
true : sc + sm;
endrewards
label "network_full" = sc=c&sm=c&ph=2;
label "first_queue_full" = sc=c;
label "second_queue_full" = sm=c;

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test/functional/modelchecker/SparseCtmcCslModelCheckerTest.cpp
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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/parser/PrismParser.h"
#include "src/parser/FormulaParser.h"
#include "src/logic/Formulas.h"
#include "src/builder/ExplicitPrismModelBuilder.h"
#include "src/solver/NativeLinearEquationSolver.h"
#include "src/modelchecker/csl/SparseCtmcCslModelChecker.h"
#include "src/modelchecker/results/ExplicitQuantitativeCheckResult.h"
#include "src/settings/SettingsManager.h"
TEST(SparseCtmcCslModelCheckerTest, Cluster) {
// Parse the model description.
storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/cluster2.sm");
storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer());
std::shared_ptr<storm::logic::Formula> formula(nullptr);
// Build the model.
std::shared_ptr<storm::models::sparse::Model<double>> model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType());
std::shared_ptr<storm::models::sparse::Ctmc<double>> ctmc = model->as<storm::models::sparse::Ctmc<double>>();
uint_fast64_t initialState = *ctmc->getInitialStates().begin();
// Create model checker.
storm::modelchecker::SparseCtmcCslModelChecker<double> modelchecker(*ctmc);
// Start checking properties.
formula = formulaParser.parseFromString("P=? [ F<=100 !\"minimum\"]");
std::unique_ptr<storm::modelchecker::CheckResult> checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult1 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(5.5461254704419085E-5, quantitativeCheckResult1[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ F[100,100] !\"minimum\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult2 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(2.3397873548343415E-6, quantitativeCheckResult2[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ \"minimum\" U<=10 \"premium\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult3 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1, quantitativeCheckResult3[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ !\"minimum\" U[1,inf] \"minimum\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult4 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0, quantitativeCheckResult4[initialState], storm::settings::generalSettings().getPrecision());
}
TEST(SparseCtmcCslModelCheckerTest, Embedded) {
// Parse the model description.
storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/embedded2.sm");
storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer());
std::shared_ptr<storm::logic::Formula> formula(nullptr);
// Build the model.
std::shared_ptr<storm::models::sparse::Model<double>> model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType());
std::shared_ptr<storm::models::sparse::Ctmc<double>> ctmc = model->as<storm::models::sparse::Ctmc<double>>();
uint_fast64_t initialState = *ctmc->getInitialStates().begin();
// Create model checker.
storm::modelchecker::SparseCtmcCslModelChecker<double> modelchecker(*ctmc);
// Start checking properties.
formula = formulaParser.parseFromString("P=? [ F<=10000 \"down\"]");
std::unique_ptr<storm::modelchecker::CheckResult> checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult1 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.0019216435246119591, quantitativeCheckResult1[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ !\"down\" U<=10000 \"fail_actuators\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult2 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(3.7079151806696567E-6, quantitativeCheckResult2[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ !\"down\" U<=10000 \"fail_io\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult3 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.001556839327673734, quantitativeCheckResult3[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ !\"down\" U<=10000 \"fail_sensors\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult4 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(4.429620626755424E-5, quantitativeCheckResult4[initialState], storm::settings::generalSettings().getPrecision());
}
TEST(SparseCtmcCslModelCheckerTest, Polling) {
// Parse the model description.
storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/polling2.sm");
storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer());
std::shared_ptr<storm::logic::Formula> formula(nullptr);
// Build the model.
std::shared_ptr<storm::models::sparse::Model<double>> model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType());
std::shared_ptr<storm::models::sparse::Ctmc<double>> ctmc = model->as<storm::models::sparse::Ctmc<double>>();
uint_fast64_t initialState = *ctmc->getInitialStates().begin();
// Create model checker.
storm::modelchecker::SparseCtmcCslModelChecker<double> modelchecker(*ctmc);
// Start checking properties.
formula = formulaParser.parseFromString("P=?[ F<=10 \"target\"]");
std::unique_ptr<storm::modelchecker::CheckResult> checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult1 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1, quantitativeCheckResult1[initialState], storm::settings::generalSettings().getPrecision());
}
TEST(SparseCtmcCslModelCheckerTest, Fms) {
// No properties to check at this point.
}
TEST(SparseCtmcCslModelCheckerTest, Tandem) {
// Parse the model description.
storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/tandem5.sm");
storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer());
std::shared_ptr<storm::logic::Formula> formula(nullptr);
// Build the model.
std::shared_ptr<storm::models::sparse::Model<double>> model = storm::builder::ExplicitPrismModelBuilder<double>::translateProgram(program);
ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType());
std::shared_ptr<storm::models::sparse::Ctmc<double>> ctmc = model->as<storm::models::sparse::Ctmc<double>>();
uint_fast64_t initialState = *ctmc->getInitialStates().begin();
// Create model checker.
storm::modelchecker::SparseCtmcCslModelChecker<double> modelchecker(*ctmc);
// Start checking properties.
formula = formulaParser.parseFromString("P=? [ F<=10 \"network_full\" ]");
std::unique_ptr<storm::modelchecker::CheckResult> checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult1 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.015446370562428037, quantitativeCheckResult1[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [ F<=10 \"first_queue_full\" ]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult2 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.999999837225515, quantitativeCheckResult2[initialState], storm::settings::generalSettings().getPrecision());
formula = formulaParser.parseFromString("P=? [\"second_queue_full\" U<=1 !\"second_queue_full\"]");
checkResult = modelchecker.check(*formula);
ASSERT_TRUE(checkResult->isExplicitQuantitativeCheckResult());
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeCheckResult3 = checkResult->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1, quantitativeCheckResult3[initialState], storm::settings::generalSettings().getPrecision());
}
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