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fixed scheduler print after large merge

tempestpy_adaptions
Stefan Pranger 3 years ago
parent
4fd16ff45f
commit
7550934b2e
1 changed files with 21 additions and 60 deletions
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  1. 81
      src/storm/storage/Scheduler.cpp

81
src/storm/storage/Scheduler.cpp
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@ -182,6 +182,7 @@ namespace storm {
if (!isMemorylessScheduler()) {
out << " with " << getNumberOfMemoryStates() << " memory states";
}
out << ":" << std::endl;
STORM_LOG_WARN_COND(!(skipUniqueChoices && model == nullptr), "Can not skip unique choices if the model is not given.");
out << std::setw(widthOfStates) << "model state:" << " " << (isMemorylessScheduler() ? "" : " memory: ") << "choice(s)" << (isMemorylessScheduler() ? "" : " memory updates: ") << std::endl;
@ -203,6 +204,11 @@ namespace storm {
bool firstMemoryState = true;
for (uint_fast64_t memoryState = 0; memoryState < getNumberOfMemoryStates(); ++memoryState) {
// Ignore dontCare states
if(skipDontCareStates && isDontCare(state, memoryState)) {
continue;
}
// Indent if this is not the first memory state
if (firstMemoryState) {
firstMemoryState = false;
@ -216,26 +222,6 @@ namespace storm {
}
stateString << " ";
bool firstMemoryState = true;
for (uint_fast64_t memoryState = 0; memoryState < getNumberOfMemoryStates(); ++memoryState) {
// Ignore dontCare states
if(skipDontCareStates && isDontCare(state, memoryState)) {
continue;
}
// Indent if this is not the first memory state
if (firstMemoryState) {
firstMemoryState = false;
} else {
out << std::setw(widthOfStates) << "";
out << " ";
}
// Print the memory state info
if (!isMemorylessScheduler()) {
out << "m="<< memoryState << std::setw(8) << "";
}
// Print choice info
SchedulerChoice<ValueType> const& choice = schedulerChoices[memoryState][state];
if (choice.isDefined()) {
@ -275,51 +261,26 @@ namespace storm {
stateString << "undefined.";
}
// Print memory updates
if(!isMemorylessScheduler()) {
stateString << std::setw(widthOfStates) << "";
// The memory updates do not depend on the actual choice, they only depend on the current model- and memory state as well as the successor model state.
for (auto const& choiceProbPair : choice.getChoiceAsDistribution()) {
uint64_t row = model->getTransitionMatrix().getRowGroupIndices()[state] + choiceProbPair.first;
bool firstUpdate = true;
for (auto entryIt = model->getTransitionMatrix().getRow(row).begin(); entryIt < model->getTransitionMatrix().getRow(row).end(); ++entryIt) {
if (firstUpdate) {
firstUpdate = false;
} else {
stateString << ", ";
}
stateString << "model state' = " << entryIt->getColumn() << ": -> " << "(m' = "<<this->memoryStructure->getSuccessorMemoryState(memoryState, entryIt - model->getTransitionMatrix().begin()) <<")";
// out << "model state' = " << entryIt->getColumn() << ": (transition = " << entryIt - model->getTransitionMatrix().begin() << ") -> " << "(m' = "<<this->memoryStructure->getSuccessorMemoryState(memoryState, entryIt - model->getTransitionMatrix().begin()) <<")";
}
}
}
// Print memory updates
if(!isMemorylessScheduler()) {
out << std::setw(widthOfStates) << "";
// The memory updates do not depend on the actual choice, they only depend on the current model- and memory state as well as the successor model state.
for (auto const& choiceProbPair : choice.getChoiceAsDistribution()) {
uint64_t row = model->getTransitionMatrix().getRowGroupIndices()[state] + choiceProbPair.first;
bool firstUpdate = true;
for (auto entryIt = model->getTransitionMatrix().getRow(row).begin(); entryIt < model->getTransitionMatrix().getRow(row).end(); ++entryIt) {
if (firstUpdate) {
firstUpdate = false;
} else {
out << ", ";
}
out << "model state' = " << entryIt->getColumn() << ": -> " << "(m' = "<<this->memoryStructure->getSuccessorMemoryState(memoryState, entryIt - model->getTransitionMatrix().begin()) <<")";
// out << "model state' = " << entryIt->getColumn() << ": (transition = " << entryIt - model->getTransitionMatrix().begin() << ") -> " << "(m' = "<<this->memoryStructure->getSuccessorMemoryState(memoryState, entryIt - model->getTransitionMatrix().begin()) <<")";
// Print memory updates
if(!isMemorylessScheduler()) {
stateString << std::setw(widthOfStates) << "";
// The memory updates do not depend on the actual choice, they only depend on the current model- and memory state as well as the successor model state.
for (auto const& choiceProbPair : choice.getChoiceAsDistribution()) {
uint64_t row = model->getTransitionMatrix().getRowGroupIndices()[state] + choiceProbPair.first;
bool firstUpdate = true;
for (auto entryIt = model->getTransitionMatrix().getRow(row).begin(); entryIt < model->getTransitionMatrix().getRow(row).end(); ++entryIt) {
if (firstUpdate) {
firstUpdate = false;
} else {
stateString << ", ";
}
stateString << "model state' = " << entryIt->getColumn() << ": -> " << "(m' = "<<this->memoryStructure->getSuccessorMemoryState(memoryState, entryIt - model->getTransitionMatrix().begin()) <<")";
}
}
out << std::endl;
}
stateString << stateString.str();
stateString << std::endl;
out << stateString.str();
out << std::endl;
}
}
if (numOfSkippedStatesWithUniqueChoice > 0) {

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