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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/parser/MarkovAutomatonParser.h"
#include "src/models/sparse/StandardRewardModel.h"
#include "src/exceptions/FileIoException.h"
#include "src/exceptions/OutOfRangeException.h"
TEST(MarkovAutomatonParserTest, NonExistingFile) {
// No matter what happens, please do NOT create a file with the name "nonExistingFile.not"!
ASSERT_THROW(storm::parser::MarkovAutomatonParser<>::parseMarkovAutomaton(STORM_CPP_TESTS_BASE_PATH "/nonExistingFile.not", STORM_CPP_TESTS_BASE_PATH "/nonExistingFile.not", STORM_CPP_TESTS_BASE_PATH "/nonExistingFile.not"), storm::exceptions::FileIoException);
}
TEST(MarkovAutomatonParserTest, BasicParsing) {
// Get the parsing result.
storm::models::sparse::MarkovAutomaton<double> result = storm::parser::MarkovAutomatonParser<>::parseMarkovAutomaton(STORM_CPP_TESTS_BASE_PATH "/functional/parser/tra_files/ma_general.tra", STORM_CPP_TESTS_BASE_PATH "/functional/parser/lab_files/ma_general.lab", STORM_CPP_TESTS_BASE_PATH "/functional/parser/rew_files/ma_general.state.rew");
// Test sizes and counts.
ASSERT_EQ(6ul, result.getNumberOfStates());
ASSERT_EQ(7ul, result.getNumberOfChoices());
ASSERT_EQ(12ul, result.getNumberOfTransitions());
// Test the exit rates. These have to be 0 for all non-Markovian states.
std::vector<double> rates = result.getExitRates();
ASSERT_EQ(2, result.getExitRate(0));
ASSERT_FALSE(result.isMarkovianState(1));
ASSERT_EQ(0, result.getExitRate(1));
ASSERT_EQ(15, result.getExitRate(2));
ASSERT_FALSE(result.isMarkovianState(3));
ASSERT_EQ(0, result.getExitRate(3));
ASSERT_FALSE(result.isMarkovianState(4));
ASSERT_EQ(0, result.getExitRate(4));
ASSERT_FALSE(result.isMarkovianState(5));
ASSERT_EQ(0, result.getExitRate(5));
// Test the labeling.
ASSERT_EQ(3ul, result.getStateLabeling().getNumberOfLabels());
ASSERT_EQ(1ul, result.getInitialStates().getNumberOfSetBits());
ASSERT_EQ(0ul, result.getLabelsOfState(4).size());
ASSERT_EQ(1ul, result.getStateLabeling().getStates("goal").getNumberOfSetBits());
// Test the state rewards.
ASSERT_TRUE(result.hasRewardModel());
double rewardSum = 0;
for (uint_fast64_t i = 0; i < result.getRewardModel("").getStateRewardVector().size(); i++) {
rewardSum += result.getRewardModel("").getStateRewardVector()[i];
}
ASSERT_EQ(1015.765099984, rewardSum);
ASSERT_EQ(0, result.getRewardModel("").getStateRewardVector()[0]);
// Test the transition rewards.
ASSERT_FALSE(result.getRewardModel("").hasTransitionRewards());
}
TEST(MarkovAutomatonParserTest, MismatchedFiles) {
// Test file combinations that do not match, i.e. differing number of states, transitions, etc.
// The labeling file contains a label for a non existent state.
ASSERT_THROW(storm::parser::MarkovAutomatonParser<>::parseMarkovAutomaton(STORM_CPP_TESTS_BASE_PATH "/functional/parser/tra_files/ma_general.tra", STORM_CPP_TESTS_BASE_PATH "/functional/parser/lab_files/ma_mismatched.lab"), storm::exceptions::OutOfRangeException);
// The state reward file contains a reward for a non existent state.
ASSERT_THROW(storm::parser::MarkovAutomatonParser<>::parseMarkovAutomaton(STORM_CPP_TESTS_BASE_PATH "/functional/parser/tra_files/ma_general.tra", STORM_CPP_TESTS_BASE_PATH "/functional/parser/lab_files/ma_general.lab", STORM_CPP_TESTS_BASE_PATH "/functional/parser/rew_files/ma_mismatched.state.rew"), storm::exceptions::OutOfRangeException);
}