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Initialize region before creating sample points

tempestpy_adaptions
Jip Spel 5 years ago
parent
12e0ef537c
commit
b308f4e1d0
1 changed files with 28 additions and 26 deletions
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  1. 54
      src/storm-pars/analysis/MonotonicityChecker.cpp

54
src/storm-pars/analysis/MonotonicityChecker.cpp
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@ -29,26 +29,10 @@ namespace storm {
this->formulas = formulas; this->formulas = formulas;
this->validate = validate; this->validate = validate;
this->precision = precision; this->precision = precision;
if (numberOfSamples > 0) {
// sampling
if (model->isOfType(storm::models::ModelType::Dtmc)) {
this->resultCheckOnSamples = std::map<typename utility::parametric::VariableType<ValueType>::type, std::pair<bool, bool>>(
checkOnSamples(model->as<storm::models::sparse::Dtmc<ValueType>>(), numberOfSamples));
} else if (model->isOfType(storm::models::ModelType::Mdp)) {
this->resultCheckOnSamples = std::map<typename utility::parametric::VariableType<ValueType>::type, std::pair<bool, bool>>(
checkOnSamples(model->as<storm::models::sparse::Mdp<ValueType>>(), numberOfSamples));
}
checkSamples= true;
} else {
checkSamples= false;
}
std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->as<storm::models::sparse::Model<ValueType>>(); std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->as<storm::models::sparse::Model<ValueType>>();
if (regions.size() == 1) { if (regions.size() == 1) {
region = *(regions.begin());
this->region = *(regions.begin());
} else { } else {
assert (regions.size() == 0); assert (regions.size() == 0);
typename storm::storage::ParameterRegion<ValueType>::Valuation lowerBoundaries; typename storm::storage::ParameterRegion<ValueType>::Valuation lowerBoundaries;
@ -61,7 +45,22 @@ namespace storm {
lowerBoundaries.insert(std::make_pair(var, lb)); lowerBoundaries.insert(std::make_pair(var, lb));
upperBoundaries.insert(std::make_pair(var, ub)); upperBoundaries.insert(std::make_pair(var, ub));
} }
region = storm::storage::ParameterRegion<ValueType>(std::move(lowerBoundaries), std::move(upperBoundaries));
this->region = storm::storage::ParameterRegion<ValueType>(std::move(lowerBoundaries), std::move(upperBoundaries));
}
if (numberOfSamples > 0) {
// sampling
if (model->isOfType(storm::models::ModelType::Dtmc)) {
this->resultCheckOnSamples = std::map<typename utility::parametric::VariableType<ValueType>::type, std::pair<bool, bool>>(
checkOnSamples(model->as<storm::models::sparse::Dtmc<ValueType>>(), numberOfSamples));
} else if (model->isOfType(storm::models::ModelType::Mdp)) {
this->resultCheckOnSamples = std::map<typename utility::parametric::VariableType<ValueType>::type, std::pair<bool, bool>>(
checkOnSamples(model->as<storm::models::sparse::Mdp<ValueType>>(), numberOfSamples));
}
checkSamples= true;
} else {
checkSamples= false;
} }
this->extender = new storm::analysis::OrderExtender<ValueType>(sparseModel); this->extender = new storm::analysis::OrderExtender<ValueType>(sparseModel);
@ -561,17 +560,20 @@ namespace storm {
for (auto itr2 = variables.begin(); itr2 != variables.end(); ++itr2) { for (auto itr2 = variables.begin(); itr2 != variables.end(); ++itr2) {
// Only change value for current variable // Only change value for current variable
if ((*itr) == (*itr2)) { if ((*itr) == (*itr2)) {
auto val = std::pair<typename utility::parametric::VariableType<ValueType>::type, typename utility::parametric::CoefficientType<ValueType>::type>(
(*itr2), storm::utility::convertNumber<typename utility::parametric::CoefficientType<ValueType>::type>(
boost::lexical_cast<std::string>((i + 1) / (double(numberOfSamples + 1)))));
auto lb = region.getLowerBoundary(itr->name());
auto ub = region.getUpperBoundary(itr->name());
// Creates samples between lb and ub, that is: lb, lb + (ub-lb)/(#samples -1), lb + 2* (ub-lb)/(#samples -1), ..., ub
auto val =
std::pair<typename utility::parametric::VariableType<ValueType>::type, typename utility::parametric::CoefficientType<ValueType>::type>
(*itr,utility::convertNumber<typename utility::parametric::CoefficientType<ValueType>::type>(lb + i*(ub-lb)/(numberOfSamples-1)));
valuation.insert(val); valuation.insert(val);
assert (0 < val.second && val.second < 1);
} else { } else {
auto val = std::pair<typename utility::parametric::VariableType<ValueType>::type, typename utility::parametric::CoefficientType<ValueType>::type>(
(*itr2), storm::utility::convertNumber<typename utility::parametric::CoefficientType<ValueType>::type>(
boost::lexical_cast<std::string>((1) / (double(numberOfSamples + 1)))));
auto lb = region.getLowerBoundary(itr->name());
auto val =
std::pair<typename utility::parametric::VariableType<ValueType>::type, typename utility::parametric::CoefficientType<ValueType>::type>
(*itr,utility::convertNumber<typename utility::parametric::CoefficientType<ValueType>::type>(lb));
valuation.insert(val); valuation.insert(val);
assert (0 < val.second && val.second < 1);
} }
} }
storm::models::sparse::Dtmc<double> sampleModel = instantiator.instantiate(valuation); storm::models::sparse::Dtmc<double> sampleModel = instantiator.instantiate(valuation);

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