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tests for multi-dimensional cost bounded DTMCs

tempestpy_adaptions
TimQu 7 years ago
parent
commit
ea6c957030
  1. 260
      resources/examples/testfiles/dtmc/crowds_cost_bounded.pm
  2. 99
      src/test/storm/modelchecker/SparseDtmcMultiDimensionalRewardUnfoldingTest.cpp

260
resources/examples/testfiles/dtmc/crowds_cost_bounded.pm

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// CROWDS [Reiter,Rubin]
// Vitaly Shmatikov, 2002
// Note:
// Change everything marked CWDSIZ when changing the size of the crowd
// Change everything marked CWDMAX when increasing max size of the crowd
dtmc
// Probability of forwarding
const double PF = 0.8;
// Probability that a crowd member is bad
const double badC = 0.091;
// const double badC = 0.167;
const int CrowdSize; // CWDSIZ: actual number of good crowd members
const int MaxGood=20; // CWDMAX: maximum number of good crowd members
// Process definitions
module crowds
// Auxiliary variables
launch: bool init true; // Start modeling?
new: bool init false; // Initialize a new protocol instance?
start: bool init false; // Start the protocol?
run: bool init false; // Run the protocol?
lastSeen: [0..MaxGood] init MaxGood; // Last crowd member to touch msg
good: bool init false; // Crowd member is good?
bad: bool init false; // ... bad?
recordLast: bool init false; // Record last seen crowd member?
badObserve: bool init false; // Bad members observes who sent msg?
deliver: bool init false; // Deliver message to destination?
done: bool init false; // Protocol instance finished?
[] launch -> (new'=true) & (launch'=false);
// Set up a new protocol instance
[newrun] new -> (new'=false) & (start'=true);
// SENDER
// Start the protocol
[] start -> (lastSeen'=0) & (run'=true) & (deliver'=false) & (start'=false);
// CROWD MEMBERS
// Good or bad crowd member?
[] !good & !bad & !deliver & run ->
1-badC : (good'=true) & (recordLast'=true) & (run'=false) +
badC : (bad'=true) & (badObserve'=true) & (run'=false);
// GOOD MEMBERS
// Forward with probability PF, else deliver
[] good & !deliver & run -> PF : (good'=false) + 1-PF : (deliver'=true);
// Record the last crowd member who touched the msg;
// all good members may appear with equal probability
// Note: This is backward. In the real protocol, each honest
// forwarder randomly chooses the next forwarder.
// Here, the identity of an honest forwarder is randomly
// chosen *after* it has forwarded the message.
[] recordLast & CrowdSize=2 ->
1/2 : (lastSeen'=0) & (recordLast'=false) & (run'=true) +
1/2 : (lastSeen'=1) & (recordLast'=false) & (run'=true);
[] recordLast & CrowdSize=4 ->
1/4 : (lastSeen'=0) & (recordLast'=false) & (run'=true) +
1/4 : (lastSeen'=1) & (recordLast'=false) & (run'=true) +
1/4 : (lastSeen'=2) & (recordLast'=false) & (run'=true) +
1/4 : (lastSeen'=3) & (recordLast'=false) & (run'=true);
[] recordLast & CrowdSize=5 ->
1/5 : (lastSeen'=0) & (recordLast'=false) & (run'=true) +
1/5 : (lastSeen'=1) & (recordLast'=false) & (run'=true) +
1/5 : (lastSeen'=2) & (recordLast'=false) & (run'=true) +
1/5 : (lastSeen'=3) & (recordLast'=false) & (run'=true) +
1/5 : (lastSeen'=4) & (recordLast'=false) & (run'=true);
[] recordLast & CrowdSize=10 ->
1/10 : (lastSeen'=0) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=1) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=2) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=3) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=4) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=5) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=6) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=7) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=8) & (recordLast'=false) & (run'=true) +
1/10 : (lastSeen'=9) & (recordLast'=false) & (run'=true);
[] recordLast & CrowdSize=15 ->
1/15 : (lastSeen'=0) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=1) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=2) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=3) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=4) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=5) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=6) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=7) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=8) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=9) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=10) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=11) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=12) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=13) & (recordLast'=false) & (run'=true) +
1/15 : (lastSeen'=14) & (recordLast'=false) & (run'=true);
[] recordLast & CrowdSize=20 ->
1/20 : (lastSeen'=0) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=1) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=2) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=3) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=4) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=5) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=6) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=7) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=8) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=9) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=10) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=11) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=12) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=13) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=14) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=15) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=16) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=17) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=18) & (recordLast'=false) & (run'=true) +
1/20 : (lastSeen'=19) & (recordLast'=false) & (run'=true);
// BAD MEMBERS
// Remember from whom the message was received and deliver
// CWDMAX: 1 rule per each good crowd member
[obs0] lastSeen=0 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs1] lastSeen=1 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs2] lastSeen=2 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs3] lastSeen=3 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs4] lastSeen=4 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs5] lastSeen=5 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs6] lastSeen=6 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs7] lastSeen=7 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs8] lastSeen=8 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs9] lastSeen=9 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs10] lastSeen=10 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs11] lastSeen=11 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs12] lastSeen=12 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs13] lastSeen=13 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs14] lastSeen=14 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs15] lastSeen=15 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs16] lastSeen=16 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs17] lastSeen=17 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs18] lastSeen=18 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
[obs19] lastSeen=19 & badObserve -> (deliver'=true) & (run'=true) & (badObserve'=false);
// RECIPIENT
// Delivery to destination
[] deliver & run -> (done'=true) & (deliver'=false) & (run'=false) & (good'=false) & (bad'=false);
// Start a new instance
[] done -> (new'=true) & (done'=false) & (run'=false) & (lastSeen'=MaxGood);
endmodule
rewards "num_runs"
[newrun] true : 1;
endrewards
rewards "observe0"
[obs0] true : 1;
endrewards
rewards "observe1"
[obs1] true : 1;
endrewards
rewards "observe2"
[obs2] true : 1;
endrewards
rewards "observe3"
[obs3] true : 1;
endrewards
rewards "observe4"
[obs4] true : 1;
endrewards
rewards "observe5"
[obs5] true : 1;
endrewards
rewards "observe6"
[obs6] true : 1;
endrewards
rewards "observe7"
[obs7] true : 1;
endrewards
rewards "observe8"
[obs8] true : 1;
endrewards
rewards "observe9"
[obs9] true : 1;
endrewards
rewards "observe10"
[obs10] true : 1;
endrewards
rewards "observe11"
[obs11] true : 1;
endrewards
rewards "observe12"
[obs12] true : 1;
endrewards
rewards "observe13"
[obs13] true : 1;
endrewards
rewards "observe14"
[obs14] true : 1;
endrewards
rewards "observe15"
[obs15] true : 1;
endrewards
rewards "observe16"
[obs16] true : 1;
endrewards
rewards "observe17"
[obs17] true : 1;
endrewards
rewards "observe18"
[obs18] true : 1;
endrewards
rewards "observe19"
[obs19] true : 1;
endrewards
rewards "observeI"
[obs1] true : 1;
[obs2] true : 1;
[obs3] true : 1;
[obs4] true : 1;
[obs5] true : 1;
[obs6] true : 1;
[obs7] true : 1;
[obs8] true : 1;
[obs9] true : 1;
[obs10] true : 1;
[obs11] true : 1;
[obs12] true : 1;
[obs13] true : 1;
[obs14] true : 1;
[obs15] true : 1;
[obs16] true : 1;
[obs17] true : 1;
[obs18] true : 1;
[obs19] true : 1;
endrewards

99
src/test/storm/modelchecker/SparseDtmcMultiDimensionalRewardUnfoldingTest.cpp

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#include "gtest/gtest.h"
#include "storm-config.h"
#include "storm/modelchecker/results/ExplicitQuantitativeCheckResult.h"
#include "storm/models/sparse/Dtmc.h"
#include "storm/settings/modules/GeneralSettings.h"
#include "storm/settings/SettingsManager.h"
#include "storm/utility/constants.h"
#include "storm/api/storm.h"
#include "storm/environment/Environment.h"
TEST(SparseDtmcMultiDimensionalRewardUnfoldingTest, cost_bounded_die) {
storm::Environment env;
std::string programFile = STORM_TEST_RESOURCES_DIR "/dtmc/die.pm";
std::string formulasAsString = "P=? [ F{\"coin_flips\"}<=2 \"two\" ] ";
formulasAsString += "; P=? [ F{\"coin_flips\"}<=3 \"two\" ] ";
formulasAsString += "; P=? [ F{\"coin_flips\"}<=8 \"two\" ] ";
// programm, model, formula
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, "");
std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulasAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalNumber>> dtmc = storm::api::buildSparseModel<storm::RationalNumber>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalNumber>>();
uint_fast64_t const initState = *dtmc->getInitialStates().begin();;
std::unique_ptr<storm::modelchecker::CheckResult> result;
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[0], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("0")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[1], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("1/8")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[2], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("21/128")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
}
TEST(SparseDtmcMultiDimensionalRewardUnfoldingTest, cost_bounded_leader) {
storm::Environment env;
std::string programFile = STORM_TEST_RESOURCES_DIR "/dtmc/leader-3-5.pm";
std::string formulasAsString = "P=? [ F{\"num_rounds\"}<=1 \"elected\" ] ";
formulasAsString += "; P=? [ F{\"num_rounds\"}<=2 \"elected\" ] ";
formulasAsString += "; P=? [ F{\"num_rounds\"}>2 \"elected\" ] ";
formulasAsString += "; P=? [ F{\"num_rounds\"}>=2,{\"num_rounds\"}<3 \"elected\" ] ";
// programm, model, formula
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, "");
std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulasAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalNumber>> dtmc = storm::api::buildSparseModel<storm::RationalNumber>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalNumber>>();
uint_fast64_t const initState = *dtmc->getInitialStates().begin();;
std::unique_ptr<storm::modelchecker::CheckResult> result;
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[0], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("24/25")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[1], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("624/625")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[2], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("1/625")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[3], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("24/625")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
}
TEST(SparseDtmcMultiDimensionalRewardUnfoldingTest, cost_bounded_crowds) {
storm::Environment env;
std::string programFile = STORM_TEST_RESOURCES_DIR "/dtmc/crowds_cost_bounded.pm";
std::string formulasAsString = "P=? [F{\"num_runs\"}<=3,{\"observe0\"}>1 true]";
formulasAsString += "; P=? [F{\"num_runs\"}<=3,{\"observe1\"}>1 true]";
formulasAsString += "; R{\"observe0\"}=? [C{\"num_runs\"}<=3]";
// programm, model, formula
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, "CrowdSize=4");
std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulasAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalNumber>> dtmc = storm::api::buildSparseModel<storm::RationalNumber>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalNumber>>();
uint_fast64_t const initState = *dtmc->getInitialStates().begin();;
std::unique_ptr<storm::modelchecker::CheckResult> result;
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[0], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("78686542099694893/1268858272000000000")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[1], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("13433618626105041/1268858272000000000")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
result = storm::api::verifyWithSparseEngine(dtmc, storm::api::createTask<storm::RationalNumber>(formulas[2], true));
ASSERT_TRUE(result->isExplicitQuantitativeCheckResult());
EXPECT_EQ(storm::utility::convertNumber<storm::RationalNumber>(std::string("620529/1364000")), result->asExplicitQuantitativeCheckResult<storm::RationalNumber>()[initState]);
}
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