Add.cpp

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#include "storm/storage/dd/Add.h"
 
#include <boost/algorithm/string/join.hpp>
#include <cstdint>
 
#include "storm-config.h"
#include "storm/adapters/RationalFunctionAdapter.h"
#include "storm/exceptions/InvalidArgumentException.h"
#include "storm/exceptions/InvalidOperationException.h"
#include "storm/exceptions/NotSupportedException.h"
#include "storm/storage/BitVector.h"
#include "storm/storage/SparseMatrix.h"
#include "storm/storage/dd/DdManager.h"
#include "storm/storage/dd/DdMetaVariable.h"
#include "storm/storage/dd/Odd.h"
#include "storm/utility/constants.h"
#include "storm/utility/macros.h"
 
namespace storm {
namespace dd {
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType>::Add(DdManager<LibraryType> const& ddManager, InternalAdd<LibraryType, ValueType> const& internalAdd,
                                 std::set<storm::expressions::Variable> const& containedMetaVariables)
    : Dd<LibraryType>(ddManager, containedMetaVariables), internalAdd(internalAdd) {
    // Intentionally left empty.
}
 
template<DdType LibraryType, typename ValueType>
bool Add<LibraryType, ValueType>::operator==(Add<LibraryType, ValueType> const& other) const {
    return internalAdd == other.internalAdd;
}
 
template<DdType LibraryType, typename ValueType>
bool Add<LibraryType, ValueType>::operator!=(Add<LibraryType, ValueType> const& other) const {
    return internalAdd != other.internalAdd;
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::operator+(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd + other.internalAdd, Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType>& Add<LibraryType, ValueType>::operator+=(Add<LibraryType, ValueType> const& other) {
    this->addMetaVariables(other.getContainedMetaVariables());
    internalAdd += other.internalAdd;
    return *this;
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::operator*(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd * other.internalAdd, Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType>& Add<LibraryType, ValueType>::operator*=(Add<LibraryType, ValueType> const& other) {
    this->addMetaVariables(other.getContainedMetaVariables());
    internalAdd *= other.internalAdd;
    return *this;
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::operator-(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd - other.internalAdd, Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::operator-() const {
    return this->getDdManager().template getAddZero<ValueType>() - *this;
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType>& Add<LibraryType, ValueType>::operator-=(Add<LibraryType, ValueType> const& other) {
    this->addMetaVariables(other.getContainedMetaVariables());
    internalAdd -= other.internalAdd;
    return *this;
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::operator/(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd / other.internalAdd, Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType>& Add<LibraryType, ValueType>::operator/=(Add<LibraryType, ValueType> const& other) {
    this->addMetaVariables(other.getContainedMetaVariables());
    internalAdd /= other.internalAdd;
    return *this;
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::equals(Add<LibraryType, ValueType> const& other) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.equals(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::notEquals(Add<LibraryType, ValueType> const& other) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.notEquals(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::less(Add<LibraryType, ValueType> const& other) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.less(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::lessOrEqual(Add<LibraryType, ValueType> const& other) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.lessOrEqual(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::greater(Add<LibraryType, ValueType> const& other) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.greater(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::greaterOrEqual(Add<LibraryType, ValueType> const& other) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.greaterOrEqual(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::pow(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.pow(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::mod(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.mod(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::logxy(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.logxy(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::floor() const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.floor(), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::ceil() const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.ceil(), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, storm::RationalNumber> Add<LibraryType, ValueType>::sharpenKwekMehlhorn(uint64_t) const {
    STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Operation not supported.");
}
 
template<>
Add<storm::dd::DdType::Sylvan, storm::RationalNumber> Add<storm::dd::DdType::Sylvan, double>::sharpenKwekMehlhorn(uint64_t precision) const {
    return Add<storm::dd::DdType::Sylvan, storm::RationalNumber>(this->getDdManager(), internalAdd.sharpenKwekMehlhorn(static_cast<std::size_t>(precision)),
                                                                 this->getContainedMetaVariables());
}
 
template<>
Add<storm::dd::DdType::Sylvan, storm::RationalNumber> Add<storm::dd::DdType::Sylvan, storm::RationalNumber>::sharpenKwekMehlhorn(uint64_t precision) const {
    return Add<storm::dd::DdType::Sylvan, storm::RationalNumber>(this->getDdManager(), internalAdd.sharpenKwekMehlhorn(static_cast<std::size_t>(precision)),
                                                                 this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::minimum(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.minimum(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::maximum(Add<LibraryType, ValueType> const& other) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.maximum(other), Dd<LibraryType>::joinMetaVariables(*this, other));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::sumAbstract(std::set<storm::expressions::Variable> const& metaVariables) const {
    Bdd<LibraryType> cube = Bdd<LibraryType>::getCube(this->getDdManager(), metaVariables);
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.sumAbstract(cube.getInternalBdd()),
                                       Dd<LibraryType>::subtractMetaVariables(*this, cube));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::minAbstract(std::set<storm::expressions::Variable> const& metaVariables) const {
    Bdd<LibraryType> cube = Bdd<LibraryType>::getCube(this->getDdManager(), metaVariables);
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.minAbstract(cube.getInternalBdd()),
                                       Dd<LibraryType>::subtractMetaVariables(*this, cube));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::minAbstractRepresentative(std::set<storm::expressions::Variable> const& metaVariables) const {
    Bdd<LibraryType> cube = Bdd<LibraryType>::getCube(this->getDdManager(), metaVariables);
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.minAbstractRepresentative(cube.getInternalBdd()), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::maxAbstract(std::set<storm::expressions::Variable> const& metaVariables) const {
    Bdd<LibraryType> cube = Bdd<LibraryType>::getCube(this->getDdManager(), metaVariables);
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.maxAbstract(cube.getInternalBdd()),
                                       Dd<LibraryType>::subtractMetaVariables(*this, cube));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::maxAbstractRepresentative(std::set<storm::expressions::Variable> const& metaVariables) const {
    Bdd<LibraryType> cube = Bdd<LibraryType>::getCube(this->getDdManager(), metaVariables);
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.maxAbstractRepresentative(cube.getInternalBdd()), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
bool Add<LibraryType, ValueType>::equalModuloPrecision(Add<LibraryType, ValueType> const& other, ValueType const& precision, bool relative) const {
    return internalAdd.equalModuloPrecision(other, precision, relative);
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::renameVariables(std::set<storm::expressions::Variable> const& from,
                                                                         std::set<storm::expressions::Variable> const& to) const {
    std::vector<InternalBdd<LibraryType>> fromBdds;
    std::vector<InternalBdd<LibraryType>> toBdds;
 
    for (auto const& metaVariable : from) {
        STORM_LOG_THROW(this->containsMetaVariable(metaVariable), storm::exceptions::InvalidOperationException,
                        "Cannot rename variable '" << metaVariable.getName() << "' that is not present.");
        DdMetaVariable<LibraryType> const& ddMetaVariable = this->getDdManager().getMetaVariable(metaVariable);
        for (auto const& ddVariable : ddMetaVariable.getDdVariables()) {
            fromBdds.push_back(ddVariable.getInternalBdd());
        }
    }
    for (auto const& metaVariable : to) {
        STORM_LOG_THROW(!this->containsMetaVariable(metaVariable), storm::exceptions::InvalidOperationException,
                        "Cannot rename to variable '" << metaVariable.getName() << "' that is already present.");
        DdMetaVariable<LibraryType> const& ddMetaVariable = this->getDdManager().getMetaVariable(metaVariable);
        for (auto const& ddVariable : ddMetaVariable.getDdVariables()) {
            toBdds.push_back(ddVariable.getInternalBdd());
        }
    }
 
    std::set<storm::expressions::Variable> newContainedMetaVariables = to;
    std::set_difference(this->getContainedMetaVariables().begin(), this->getContainedMetaVariables().end(), from.begin(), from.end(),
                        std::inserter(newContainedMetaVariables, newContainedMetaVariables.begin()));
 
    STORM_LOG_THROW(fromBdds.size() == toBdds.size(), storm::exceptions::InvalidArgumentException, "Unable to rename mismatching meta variables.");
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.swapVariables(fromBdds, toBdds), newContainedMetaVariables);
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::renameVariablesAbstract(std::set<storm::expressions::Variable> const& from,
                                                                                 std::set<storm::expressions::Variable> const& to) const {
    std::vector<InternalBdd<LibraryType>> fromBdds;
    std::vector<InternalBdd<LibraryType>> toBdds;
 
    for (auto const& metaVariable : from) {
        STORM_LOG_THROW(this->containsMetaVariable(metaVariable), storm::exceptions::InvalidOperationException,
                        "Cannot rename variable '" << metaVariable.getName() << "' that is not present.");
        DdMetaVariable<LibraryType> const& ddMetaVariable = this->getDdManager().getMetaVariable(metaVariable);
        for (auto const& ddVariable : ddMetaVariable.getDdVariables()) {
            fromBdds.push_back(ddVariable.getInternalBdd());
        }
    }
    std::sort(fromBdds.begin(), fromBdds.end(),
              [](InternalBdd<LibraryType> const& a, InternalBdd<LibraryType> const& b) { return a.getLevel() < b.getLevel(); });
    for (auto const& metaVariable : to) {
        STORM_LOG_THROW(!this->containsMetaVariable(metaVariable), storm::exceptions::InvalidOperationException,
                        "Cannot rename to variable '" << metaVariable.getName() << "' that is already present.");
        DdMetaVariable<LibraryType> const& ddMetaVariable = this->getDdManager().getMetaVariable(metaVariable);
        for (auto const& ddVariable : ddMetaVariable.getDdVariables()) {
            toBdds.push_back(ddVariable.getInternalBdd());
        }
    }
    std::sort(toBdds.begin(), toBdds.end(), [](InternalBdd<LibraryType> const& a, InternalBdd<LibraryType> const& b) { return a.getLevel() < b.getLevel(); });
 
    std::set<storm::expressions::Variable> newContainedMetaVariables = to;
    std::set_difference(this->getContainedMetaVariables().begin(), this->getContainedMetaVariables().end(), from.begin(), from.end(),
                        std::inserter(newContainedMetaVariables, newContainedMetaVariables.begin()));
 
    STORM_LOG_ASSERT(fromBdds.size() >= toBdds.size(), "Unable to perform rename-abstract with mismatching sizes.");
 
    if (fromBdds.size() == toBdds.size()) {
        return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.permuteVariables(fromBdds, toBdds), newContainedMetaVariables);
    } else {
        InternalBdd<LibraryType> cube = this->getDdManager().getBddOne().getInternalBdd();
        for (uint64_t index = toBdds.size(); index < fromBdds.size(); ++index) {
            cube &= fromBdds[index];
        }
        fromBdds.resize(toBdds.size());
 
        return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.sumAbstract(cube).permuteVariables(fromBdds, toBdds), newContainedMetaVariables);
    }
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::swapVariables(
    std::vector<std::pair<storm::expressions::Variable, storm::expressions::Variable>> const& metaVariablePairs) const {
    std::set<storm::expressions::Variable> newContainedMetaVariables;
    std::set<storm::expressions::Variable> deletedMetaVariables;
    std::vector<InternalBdd<LibraryType>> from;
    std::vector<InternalBdd<LibraryType>> to;
    for (auto const& metaVariablePair : metaVariablePairs) {
        DdMetaVariable<LibraryType> const& variable1 = this->getDdManager().getMetaVariable(metaVariablePair.first);
        DdMetaVariable<LibraryType> const& variable2 = this->getDdManager().getMetaVariable(metaVariablePair.second);
 
        // Keep track of the contained meta variables in the DD.
        if (this->containsMetaVariable(metaVariablePair.first)) {
            if (this->containsMetaVariable(metaVariablePair.second)) {
                // Nothing to do here.
            } else {
                newContainedMetaVariables.insert(metaVariablePair.second);
                deletedMetaVariables.insert(metaVariablePair.first);
            }
        } else {
            if (!this->containsMetaVariable(metaVariablePair.second)) {
                // Nothing to do here.
            } else {
                newContainedMetaVariables.insert(metaVariablePair.first);
                deletedMetaVariables.insert(metaVariablePair.second);
            }
        }
        for (auto const& ddVariable : variable1.getDdVariables()) {
            from.push_back(ddVariable.getInternalBdd());
        }
        for (auto const& ddVariable : variable2.getDdVariables()) {
            to.push_back(ddVariable.getInternalBdd());
        }
    }
 
    std::set<storm::expressions::Variable> tmp;
    std::set_difference(this->getContainedMetaVariables().begin(), this->getContainedMetaVariables().end(), deletedMetaVariables.begin(),
                        deletedMetaVariables.end(), std::inserter(tmp, tmp.begin()));
    std::set<storm::expressions::Variable> containedMetaVariables;
    std::set_union(tmp.begin(), tmp.end(), newContainedMetaVariables.begin(), newContainedMetaVariables.end(),
                   std::inserter(containedMetaVariables, containedMetaVariables.begin()));
    STORM_LOG_THROW(from.size() == to.size(), storm::exceptions::InvalidArgumentException, "Unable to swap mismatching meta variables.");
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.swapVariables(from, to), containedMetaVariables);
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::permuteVariables(
    std::vector<std::pair<storm::expressions::Variable, storm::expressions::Variable>> const& metaVariablePairs) const {
    std::set<storm::expressions::Variable> newContainedMetaVariables;
    std::set<storm::expressions::Variable> deletedMetaVariables;
    std::vector<InternalBdd<LibraryType>> from;
    std::vector<InternalBdd<LibraryType>> to;
    for (auto const& metaVariablePair : metaVariablePairs) {
        DdMetaVariable<LibraryType> const& variable1 = this->getDdManager().getMetaVariable(metaVariablePair.first);
        DdMetaVariable<LibraryType> const& variable2 = this->getDdManager().getMetaVariable(metaVariablePair.second);
 
        // Keep track of the contained meta variables in the DD.
        if (this->containsMetaVariable(metaVariablePair.first)) {
            deletedMetaVariables.insert(metaVariablePair.first);
            newContainedMetaVariables.insert(metaVariablePair.second);
        }
 
        for (auto const& ddVariable : variable1.getDdVariables()) {
            from.push_back(ddVariable.getInternalBdd());
        }
        for (auto const& ddVariable : variable2.getDdVariables()) {
            to.push_back(ddVariable.getInternalBdd());
        }
    }
 
    std::set<storm::expressions::Variable> tmp;
    std::set_difference(this->getContainedMetaVariables().begin(), this->getContainedMetaVariables().end(), deletedMetaVariables.begin(),
                        deletedMetaVariables.end(), std::inserter(tmp, tmp.begin()));
    std::set<storm::expressions::Variable> containedMetaVariables;
    std::set_union(tmp.begin(), tmp.end(), newContainedMetaVariables.begin(), newContainedMetaVariables.end(),
                   std::inserter(containedMetaVariables, containedMetaVariables.begin()));
    STORM_LOG_THROW(from.size() == to.size(), storm::exceptions::InvalidArgumentException, "Unable to swap mismatching meta variables.");
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.permuteVariables(from, to), containedMetaVariables);
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::multiplyMatrix(Add<LibraryType, ValueType> const& otherMatrix,
                                                                        std::set<storm::expressions::Variable> const& summationMetaVariables) const {
    // Create the summation variables.
    std::vector<InternalBdd<LibraryType>> summationDdVariables;
    for (auto const& metaVariable : summationMetaVariables) {
        for (auto const& ddVariable : this->getDdManager().getMetaVariable(metaVariable).getDdVariables()) {
            summationDdVariables.push_back(ddVariable.getInternalBdd());
        }
    }
 
    std::set<storm::expressions::Variable> unionOfMetaVariables = Dd<LibraryType>::joinMetaVariables(*this, otherMatrix);
    std::set<storm::expressions::Variable> containedMetaVariables;
    std::set_difference(unionOfMetaVariables.begin(), unionOfMetaVariables.end(), summationMetaVariables.begin(), summationMetaVariables.end(),
                        std::inserter(containedMetaVariables, containedMetaVariables.begin()));
 
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.multiplyMatrix(otherMatrix, summationDdVariables), containedMetaVariables);
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::multiplyMatrix(Bdd<LibraryType> const& otherMatrix,
                                                                        std::set<storm::expressions::Variable> const& summationMetaVariables) const {
    // Create the summation variables.
    std::vector<InternalBdd<LibraryType>> summationDdVariables;
    for (auto const& metaVariable : summationMetaVariables) {
        for (auto const& ddVariable : this->getDdManager().getMetaVariable(metaVariable).getDdVariables()) {
            summationDdVariables.push_back(ddVariable.getInternalBdd());
        }
    }
 
    std::set<storm::expressions::Variable> unionOfMetaVariables = Dd<LibraryType>::joinMetaVariables(*this, otherMatrix);
    std::set<storm::expressions::Variable> containedMetaVariables;
    std::set_difference(unionOfMetaVariables.begin(), unionOfMetaVariables.end(), summationMetaVariables.begin(), summationMetaVariables.end(),
                        std::inserter(containedMetaVariables, containedMetaVariables.begin()));
 
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.multiplyMatrix(otherMatrix.getInternalBdd(), summationDdVariables),
                                       containedMetaVariables);
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::greater(ValueType const& value) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.greater(value), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::greaterOrEqual(ValueType const& value) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.greaterOrEqual(value), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::less(ValueType const& value) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.less(value), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::lessOrEqual(ValueType const& value) const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.lessOrEqual(value), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::notZero() const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.notZero(), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::constrain(Add<LibraryType, ValueType> const& constraint) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.constrain(constraint), Dd<LibraryType>::joinMetaVariables(*this, constraint));
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::restrict(Add<LibraryType, ValueType> const& constraint) const {
    return Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.restrict(constraint), Dd<LibraryType>::joinMetaVariables(*this, constraint));
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::getSupport() const {
    return Bdd<LibraryType>(this->getDdManager(), internalAdd.getSupport(), this->getContainedMetaVariables());
}
 
template<DdType LibraryType, typename ValueType>
uint_fast64_t Add<LibraryType, ValueType>::getNonZeroCount() const {
    std::size_t numberOfDdVariables = 0;
    for (auto const& metaVariable : this->getContainedMetaVariables()) {
        numberOfDdVariables += this->getDdManager().getMetaVariable(metaVariable).getNumberOfDdVariables();
    }
    return internalAdd.getNonZeroCount(numberOfDdVariables);
}
 
template<DdType LibraryType, typename ValueType>
uint_fast64_t Add<LibraryType, ValueType>::getLeafCount() const {
    return internalAdd.getLeafCount();
}
 
template<DdType LibraryType, typename ValueType>
uint_fast64_t Add<LibraryType, ValueType>::getNodeCount() const {
    return internalAdd.getNodeCount();
}
 
template<DdType LibraryType, typename ValueType>
ValueType Add<LibraryType, ValueType>::getMin() const {
    return internalAdd.getMin();
}
 
template<DdType LibraryType, typename ValueType>
ValueType Add<LibraryType, ValueType>::getMax() const {
    return internalAdd.getMax();
}
 
template<DdType LibraryType, typename ValueType>
void Add<LibraryType, ValueType>::setValue(storm::expressions::Variable const& metaVariable, int_fast64_t variableValue, ValueType const& targetValue) {
    std::map<storm::expressions::Variable, int_fast64_t> metaVariableToValueMap;
    metaVariableToValueMap.emplace(metaVariable, variableValue);
    this->setValue(metaVariableToValueMap, targetValue);
}
 
template<DdType LibraryType, typename ValueType>
void Add<LibraryType, ValueType>::setValue(storm::expressions::Variable const& metaVariable1, int_fast64_t variableValue1,
                                           storm::expressions::Variable const& metaVariable2, int_fast64_t variableValue2, ValueType const& targetValue) {
    std::map<storm::expressions::Variable, int_fast64_t> metaVariableToValueMap;
    metaVariableToValueMap.emplace(metaVariable1, variableValue1);
    metaVariableToValueMap.emplace(metaVariable2, variableValue2);
    this->setValue(metaVariableToValueMap, targetValue);
}
 
template<DdType LibraryType, typename ValueType>
void Add<LibraryType, ValueType>::setValue(std::map<storm::expressions::Variable, int_fast64_t> const& metaVariableToValueMap, ValueType const& targetValue) {
    Bdd<LibraryType> valueEncoding = this->getDdManager().getBddOne();
    for (auto const& nameValuePair : metaVariableToValueMap) {
        valueEncoding &= this->getDdManager().getEncoding(nameValuePair.first, nameValuePair.second);
        // Also record that the DD now contains the meta variable.
        this->addMetaVariable(nameValuePair.first);
    }
 
    internalAdd = valueEncoding.ite(this->getDdManager().getConstant(targetValue), *this);
}
 
template<DdType LibraryType, typename ValueType>
ValueType Add<LibraryType, ValueType>::getValue(std::map<storm::expressions::Variable, int_fast64_t> const& metaVariableToValueMap) const {
    std::set<storm::expressions::Variable> remainingMetaVariables(this->getContainedMetaVariables());
    Bdd<LibraryType> valueEncoding = this->getDdManager().getBddOne();
    for (auto const& nameValuePair : metaVariableToValueMap) {
        valueEncoding &= this->getDdManager().getEncoding(nameValuePair.first, nameValuePair.second);
        if (this->containsMetaVariable(nameValuePair.first)) {
            remainingMetaVariables.erase(nameValuePair.first);
        }
    }
 
    STORM_LOG_THROW(remainingMetaVariables.empty(), storm::exceptions::InvalidArgumentException,
                    "Cannot evaluate function for which not all inputs were given.");
 
    Add<LibraryType, ValueType> value = *this * valueEncoding.template toAdd<ValueType>();
    value = value.sumAbstract(this->getContainedMetaVariables());
    return value.internalAdd.getValue();
}
 
template<DdType LibraryType, typename ValueType>
bool Add<LibraryType, ValueType>::isOne() const {
    return internalAdd.isOne();
}
 
template<DdType LibraryType, typename ValueType>
bool Add<LibraryType, ValueType>::isZero() const {
    return internalAdd.isZero();
}
 
template<DdType LibraryType, typename ValueType>
bool Add<LibraryType, ValueType>::isConstant() const {
    return internalAdd.isConstant();
}
 
template<DdType LibraryType, typename ValueType>
uint_fast64_t Add<LibraryType, ValueType>::getIndex() const {
    return internalAdd.getIndex();
}
 
template<DdType LibraryType, typename ValueType>
uint_fast64_t Add<LibraryType, ValueType>::getLevel() const {
    return internalAdd.getLevel();
}
 
template<DdType LibraryType, typename ValueType>
std::vector<ValueType> Add<LibraryType, ValueType>::toVector() const {
    return this->toVector(this->createOdd());
}
 
template<DdType LibraryType, typename ValueType>
std::vector<ValueType> Add<LibraryType, ValueType>::toVector(Odd const& rowOdd) const {
    std::vector<ValueType> result(rowOdd.getTotalOffset());
    std::vector<uint_fast64_t> ddVariableIndices = this->getSortedVariableIndices();
    internalAdd.composeWithExplicitVector(rowOdd, ddVariableIndices, result, std::plus<ValueType>());
    return result;
}
 
template<DdType LibraryType, typename ValueType>
std::vector<ValueType> Add<LibraryType, ValueType>::toVector(storm::dd::Add<LibraryType, ValueType> const& matrix,
                                                             std::vector<uint_fast64_t> const& rowGroupIndices,
                                                             std::set<storm::expressions::Variable> const& rowMetaVariables,
                                                             std::set<storm::expressions::Variable> const& columnMetaVariables,
                                                             std::set<storm::expressions::Variable> const& groupMetaVariables,
                                                             storm::dd::Odd const& rowOdd) const {
    std::vector<uint_fast64_t> ddRowVariableIndices;
    std::vector<uint_fast64_t> ddColumnVariableIndices;
    std::vector<uint_fast64_t> ddGroupVariableIndices;
    std::set<storm::expressions::Variable> rowAndColumnMetaVariables;
 
    for (auto const& variable : rowMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddRowVariableIndices.push_back(ddVariable.getIndex());
        }
        rowAndColumnMetaVariables.insert(variable);
    }
    std::sort(ddRowVariableIndices.begin(), ddRowVariableIndices.end());
    for (auto const& variable : columnMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddColumnVariableIndices.push_back(ddVariable.getIndex());
        }
        rowAndColumnMetaVariables.insert(variable);
    }
    std::sort(ddColumnVariableIndices.begin(), ddColumnVariableIndices.end());
    for (auto const& variable : groupMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddGroupVariableIndices.push_back(ddVariable.getIndex());
        }
    }
    std::sort(ddGroupVariableIndices.begin(), ddGroupVariableIndices.end());
 
    Bdd<LibraryType> columnVariableCube = Bdd<LibraryType>::getCube(this->getDdManager(), columnMetaVariables);
 
    // Copy the row group indices so we can modify them.
    std::vector<uint_fast64_t> mutableRowGroupIndices = rowGroupIndices;
 
    // Create the explicit vector we need to fill later.
    std::vector<ValueType> explicitVector(mutableRowGroupIndices.back());
 
    // Next, we split the matrix into one for each group. Note that this only works if the group variables are at the very top.
    std::vector<std::pair<InternalAdd<LibraryType, ValueType>, InternalAdd<LibraryType, ValueType>>> internalAddGroups =
        matrix.internalAdd.splitIntoGroups(*this, ddGroupVariableIndices);
    std::vector<std::pair<Add<LibraryType, ValueType>, Add<LibraryType, ValueType>>> groups;
    for (auto const& internalAdd : internalAddGroups) {
        groups.push_back(std::make_pair(Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.first, rowAndColumnMetaVariables),
                                        Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.second, rowMetaVariables)));
    }
 
    std::vector<InternalAdd<LibraryType, uint_fast64_t>> statesWithGroupEnabled(groups.size());
    for (uint_fast64_t i = 0; i < groups.size(); ++i) {
        std::pair<Add<LibraryType, ValueType>, Add<LibraryType, ValueType>> const& ddPair = groups[i];
        Bdd<LibraryType> matrixDdNotZero = ddPair.first.notZero();
        Bdd<LibraryType> vectorDdNotZero = ddPair.second.notZero();
 
        ddPair.second.internalAdd.composeWithExplicitVector(rowOdd, ddRowVariableIndices, mutableRowGroupIndices, explicitVector, std::plus<ValueType>());
 
        InternalAdd<LibraryType, uint_fast64_t> statesWithGroupEnabled =
            (matrixDdNotZero.existsAbstract(columnMetaVariables) || vectorDdNotZero).template toAdd<uint_fast64_t>();
        statesWithGroupEnabled.composeWithExplicitVector(rowOdd, ddRowVariableIndices, mutableRowGroupIndices, std::plus<uint_fast64_t>());
    }
 
    return explicitVector;
}
 
template<DdType LibraryType, typename ValueType>
storm::storage::SparseMatrix<ValueType> Add<LibraryType, ValueType>::toMatrix() const {
    std::set<storm::expressions::Variable> rowVariables;
    std::set<storm::expressions::Variable> columnVariables;
 
    for (auto const& variable : this->getContainedMetaVariables()) {
        if (variable.getName().size() > 0 && variable.getName().back() == '\'') {
            columnVariables.insert(variable);
        } else {
            rowVariables.insert(variable);
        }
    }
 
    return toMatrix(rowVariables, columnVariables, this->sumAbstract(rowVariables).createOdd(), this->sumAbstract(columnVariables).createOdd());
}
 
template<DdType LibraryType, typename ValueType>
storm::storage::SparseMatrix<ValueType> Add<LibraryType, ValueType>::toMatrix(storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    std::set<storm::expressions::Variable> rowMetaVariables;
    std::set<storm::expressions::Variable> columnMetaVariables;
 
    for (auto const& variable : this->getContainedMetaVariables()) {
        if (variable.getName().size() > 0 && variable.getName().back() == '\'') {
            columnMetaVariables.insert(variable);
        } else {
            rowMetaVariables.insert(variable);
        }
    }
 
    return toMatrix(rowMetaVariables, columnMetaVariables, rowOdd, columnOdd);
}
 
template<DdType LibraryType, typename ValueType>
storm::storage::SparseMatrix<ValueType> Add<LibraryType, ValueType>::toMatrix(std::set<storm::expressions::Variable> const& rowMetaVariables,
                                                                              std::set<storm::expressions::Variable> const& columnMetaVariables,
                                                                              storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    std::vector<uint_fast64_t> ddRowVariableIndices;
    std::vector<uint_fast64_t> ddColumnVariableIndices;
 
    for (auto const& variable : rowMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddRowVariableIndices.push_back(ddVariable.getIndex());
        }
    }
    std::sort(ddRowVariableIndices.begin(), ddRowVariableIndices.end());
 
    for (auto const& variable : columnMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddColumnVariableIndices.push_back(ddVariable.getIndex());
        }
    }
    std::sort(ddColumnVariableIndices.begin(), ddColumnVariableIndices.end());
 
    // Prepare the vectors that represent the matrix.
    std::vector<uint_fast64_t> rowIndications(rowOdd.getTotalOffset() + 1);
    std::vector<storm::storage::MatrixEntry<uint_fast64_t, ValueType>> columnsAndValues(this->getNonZeroCount());
 
    // Create a trivial row grouping.
    std::vector<uint_fast64_t> trivialRowGroupIndices(rowIndications.size());
    uint_fast64_t i = 0;
    for (auto& entry : trivialRowGroupIndices) {
        entry = i;
        ++i;
    }
 
    // Count the number of elements in the rows.
    rowIndications = this->notZero().template toAdd<uint_fast64_t>().sumAbstract(columnMetaVariables).toVector(rowOdd);
    rowIndications.emplace_back();
 
    // Now that we computed the number of entries in each row, compute the corresponding offsets in the entry vector.
    uint_fast64_t tmp = 0;
    uint_fast64_t tmp2 = 0;
    for (uint_fast64_t i = 1; i < rowIndications.size(); ++i) {
        tmp2 = rowIndications[i];
        rowIndications[i] = rowIndications[i - 1] + tmp;
        std::swap(tmp, tmp2);
    }
    rowIndications[0] = 0;
 
    // Now actually fill the entry vector.
    internalAdd.toMatrixComponents(trivialRowGroupIndices, rowIndications, columnsAndValues, rowOdd, columnOdd, ddRowVariableIndices, ddColumnVariableIndices,
                                   true);
 
    // Since the last call to toMatrixRec modified the rowIndications, we need to restore the correct values.
    for (uint_fast64_t i = rowIndications.size() - 1; i > 0; --i) {
        rowIndications[i] = rowIndications[i - 1];
    }
    rowIndications[0] = 0;
 
    // Construct matrix and return result.
    return storm::storage::SparseMatrix<ValueType>(columnOdd.getTotalOffset(), std::move(rowIndications), std::move(columnsAndValues), boost::none);
}
 
template<DdType LibraryType, typename ValueType>
storm::storage::SparseMatrix<ValueType> Add<LibraryType, ValueType>::toMatrix(std::set<storm::expressions::Variable> const& groupMetaVariables,
                                                                              storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    std::set<storm::expressions::Variable> rowMetaVariables;
    std::set<storm::expressions::Variable> columnMetaVariables;
 
    for (auto const& variable : this->getContainedMetaVariables()) {
        // If the meta variable is a group meta variable, we do not insert it into the set of row/column meta variables.
        if (groupMetaVariables.contains(variable)) {
            continue;
        }
 
        if (variable.getName().size() > 0 && variable.getName().back() == '\'') {
            columnMetaVariables.insert(variable);
        } else {
            rowMetaVariables.insert(variable);
        }
    }
 
    // Create the canonical row group sizes and build the matrix.
    return toLabeledMatrix(rowMetaVariables, columnMetaVariables, groupMetaVariables, rowOdd, columnOdd).matrix;
}
 
template<DdType LibraryType, typename ValueType>
typename Add<LibraryType, ValueType>::MatrixAndLabeling Add<LibraryType, ValueType>::toLabeledMatrix(
    std::set<storm::expressions::Variable> const& rowMetaVariables, std::set<storm::expressions::Variable> const& columnMetaVariables,
    std::set<storm::expressions::Variable> const& groupMetaVariables, storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd,
    std::vector<std::set<storm::expressions::Variable>> const& labelMetaVariables) const {
    std::vector<uint_fast64_t> ddRowVariableIndices;
    std::vector<uint_fast64_t> ddColumnVariableIndices;
    std::vector<uint_fast64_t> ddGroupVariableIndices;
    std::vector<storm::storage::BitVector> ddLabelVariableIndicesVector;
    std::set<storm::expressions::Variable> rowAndColumnMetaVariables;
    bool buildLabeling = !labelMetaVariables.empty();
    MatrixAndLabeling result;
 
    for (auto const& variable : rowMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddRowVariableIndices.push_back(ddVariable.getIndex());
        }
        rowAndColumnMetaVariables.insert(variable);
    }
    std::sort(ddRowVariableIndices.begin(), ddRowVariableIndices.end());
    for (auto const& variable : columnMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddColumnVariableIndices.push_back(ddVariable.getIndex());
        }
        rowAndColumnMetaVariables.insert(variable);
    }
    std::sort(ddColumnVariableIndices.begin(), ddColumnVariableIndices.end());
    for (auto const& variable : groupMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddGroupVariableIndices.push_back(ddVariable.getIndex());
        }
    }
    std::sort(ddGroupVariableIndices.begin(), ddGroupVariableIndices.end());
    if (buildLabeling) {
        for (auto const& labelMetaVariableSet : labelMetaVariables) {
            std::set<uint64_t> ddLabelVariableIndicesSet;
            for (auto const& variable : labelMetaVariableSet) {
                DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
                for (auto const& ddVariable : metaVariable.getDdVariables()) {
                    ddLabelVariableIndicesSet.insert(ddVariable.getIndex());
                }
            }
 
            ddLabelVariableIndicesVector.emplace_back(ddGroupVariableIndices.size());
            uint64_t position = 0;
            for (auto const& index : ddGroupVariableIndices) {
                if (ddLabelVariableIndicesSet.contains(index)) {
                    ddLabelVariableIndicesVector.back().set(position);
                }
                ++position;
            }
        }
    }
 
    Bdd<LibraryType> columnVariableCube = Bdd<LibraryType>::getCube(this->getDdManager(), columnMetaVariables);
 
    // Start by computing the offsets (in terms of rows) for each row group.
    Add<LibraryType, uint_fast64_t> stateToNumberOfChoices =
        this->notZero().existsAbstract(columnMetaVariables).template toAdd<uint_fast64_t>().sumAbstract(groupMetaVariables);
    std::vector<uint_fast64_t> rowGroupIndices = stateToNumberOfChoices.toVector(rowOdd);
    rowGroupIndices.resize(rowGroupIndices.size() + 1);
    uint_fast64_t tmp = 0;
    uint_fast64_t tmp2 = 0;
    for (uint_fast64_t i = 1; i < rowGroupIndices.size(); ++i) {
        tmp2 = rowGroupIndices[i];
        rowGroupIndices[i] = rowGroupIndices[i - 1] + tmp;
        std::swap(tmp, tmp2);
    }
    rowGroupIndices[0] = 0;
 
    // Next, we split the matrix into one for each group. Note that this only works if the group variables are
    // at the very top.
    std::vector<InternalAdd<LibraryType, ValueType>> internalAddGroups = internalAdd.splitIntoGroups(ddGroupVariableIndices);
    std::vector<Add<LibraryType, ValueType>> groups;
    for (auto const& internalAdd : internalAddGroups) {
        groups.push_back(Add<LibraryType, ValueType>(this->getDdManager(), internalAdd, rowAndColumnMetaVariables));
    }
 
    // Create the group labelings if requested.
    std::vector<std::vector<uint64_t>> groupLabelings;
    if (buildLabeling) {
        for (auto const& ddLabelVariableIndices : ddLabelVariableIndicesVector) {
            groupLabelings.emplace_back(internalAdd.decodeGroupLabels(ddGroupVariableIndices, ddLabelVariableIndices));
            STORM_LOG_ASSERT(groupLabelings.back().size() == groups.size(), "Mismatching label sizes.");
        }
    }
 
    // Create the actual storage for the non-zero entries.
    std::vector<storm::storage::MatrixEntry<uint_fast64_t, ValueType>> columnsAndValues(this->getNonZeroCount());
 
    // Now compute the indices at which the individual rows start.
    std::vector<uint_fast64_t> rowIndications(rowGroupIndices.back() + 1);
 
    if (buildLabeling) {
        for (uint64_t i = 0; i < labelMetaVariables.size(); ++i) {
            result.labelings.emplace_back(rowGroupIndices.back());
        }
    }
 
    std::vector<InternalAdd<LibraryType, uint_fast64_t>> statesWithGroupEnabled(groups.size());
    InternalAdd<LibraryType, uint_fast64_t> stateToRowGroupCount = this->getDdManager().template getAddZero<uint_fast64_t>();
    for (uint_fast64_t i = 0; i < groups.size(); ++i) {
        auto const& group = groups[i];
        auto groupNotZero = group.notZero();
 
        std::vector<uint64_t> tmpRowIndications = groupNotZero.template toAdd<uint_fast64_t>().sumAbstract(columnMetaVariables).toVector(rowOdd);
        for (uint64_t offset = 0; offset < tmpRowIndications.size(); ++offset) {
            rowIndications[rowGroupIndices[offset]] += tmpRowIndications[offset];
        }
 
        statesWithGroupEnabled[i] = groupNotZero.existsAbstract(columnMetaVariables).template toAdd<uint_fast64_t>();
        if (buildLabeling) {
            for (uint64_t j = 0; j < labelMetaVariables.size(); ++j) {
                uint64_t currentLabel = groupLabelings[j][i];
                statesWithGroupEnabled[i].forEach(rowOdd, ddRowVariableIndices,
                                                  [currentLabel, &rowGroupIndices, &result, j](uint64_t const& offset, uint_fast64_t const& value) {
                                                      result.labelings[j][rowGroupIndices[offset]] = currentLabel;
                                                  });
            }
        }
        statesWithGroupEnabled[i].composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::plus<uint_fast64_t>());
    }
 
    // Since we modified the rowGroupIndices, we need to restore the correct values.
    stateToNumberOfChoices.internalAdd.composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::minus<uint_fast64_t>());
 
    // Now that we computed the number of entries in each row, compute the corresponding offsets in the entry vector.
    tmp = 0;
    tmp2 = 0;
    for (uint_fast64_t i = 1; i < rowIndications.size(); ++i) {
        tmp2 = rowIndications[i];
        rowIndications[i] = rowIndications[i - 1] + tmp;
        std::swap(tmp, tmp2);
    }
    rowIndications[0] = 0;
 
    // Now actually fill the entry vector.
    for (uint_fast64_t i = 0; i < groups.size(); ++i) {
        auto const& group = groups[i];
 
        group.internalAdd.toMatrixComponents(rowGroupIndices, rowIndications, columnsAndValues, rowOdd, columnOdd, ddRowVariableIndices,
                                             ddColumnVariableIndices, true);
 
        statesWithGroupEnabled[i].composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::plus<uint_fast64_t>());
    }
 
    // Since we modified the rowGroupIndices, we need to restore the correct values.
    stateToNumberOfChoices.internalAdd.composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::minus<uint_fast64_t>());
 
    // Since the last call to toMatrixRec modified the rowIndications, we need to restore the correct values.
    for (uint_fast64_t i = rowIndications.size() - 1; i > 0; --i) {
        rowIndications[i] = rowIndications[i - 1];
    }
    rowIndications[0] = 0;
 
    // Move-construct matrix and return.
    result.matrix =
        storm::storage::SparseMatrix<ValueType>(columnOdd.getTotalOffset(), std::move(rowIndications), std::move(columnsAndValues), std::move(rowGroupIndices));
    return result;
}
 
template<DdType LibraryType, typename ValueType>
std::pair<storm::storage::SparseMatrix<ValueType>, std::vector<ValueType>> Add<LibraryType, ValueType>::toMatrixVector(
    storm::dd::Add<LibraryType, ValueType> const& vector, std::set<storm::expressions::Variable> const& groupMetaVariables, storm::dd::Odd const& rowOdd,
    storm::dd::Odd const& columnOdd) const {
    std::set<storm::expressions::Variable> rowMetaVariables;
    std::set<storm::expressions::Variable> columnMetaVariables;
 
    for (auto const& variable : this->getContainedMetaVariables()) {
        // If the meta variable is a group meta variable, we do not insert it into the set of row/column meta variables.
        if (groupMetaVariables.contains(variable)) {
            continue;
        }
 
        if (variable.getName().size() > 0 && variable.getName().back() == '\'') {
            columnMetaVariables.insert(variable);
        } else {
            rowMetaVariables.insert(variable);
        }
    }
 
    // Create the canonical row group sizes and build the matrix.
    return toMatrixVector(vector, rowMetaVariables, columnMetaVariables, groupMetaVariables, rowOdd, columnOdd);
}
 
template<DdType LibraryType, typename ValueType>
std::pair<storm::storage::SparseMatrix<ValueType>, std::vector<ValueType>> Add<LibraryType, ValueType>::toMatrixVector(
    storm::dd::Add<LibraryType, ValueType> const& vector, std::set<storm::expressions::Variable> const& rowMetaVariables,
    std::set<storm::expressions::Variable> const& columnMetaVariables, std::set<storm::expressions::Variable> const& groupMetaVariables,
    storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    // Count how many choices each row group has.
    std::vector<uint_fast64_t> rowGroupIndices = (this->notZero().existsAbstract(columnMetaVariables) || vector.notZero())
                                                     .template toAdd<uint_fast64_t>()
                                                     .sumAbstract(groupMetaVariables)
                                                     .toVector(rowOdd);
    return toMatrixVector(std::move(rowGroupIndices), vector, rowMetaVariables, columnMetaVariables, groupMetaVariables, rowOdd, columnOdd);
}
 
template<DdType LibraryType, typename ValueType>
std::pair<storm::storage::SparseMatrix<ValueType>, std::vector<ValueType>> Add<LibraryType, ValueType>::toMatrixVector(
    std::vector<uint_fast64_t>&& rowGroupIndices, storm::dd::Add<LibraryType, ValueType> const& vector,
    std::set<storm::expressions::Variable> const& rowMetaVariables, std::set<storm::expressions::Variable> const& columnMetaVariables,
    std::set<storm::expressions::Variable> const& groupMetaVariables, storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    auto resultAsVector = toMatrixVectors(std::move(rowGroupIndices), {vector}, rowMetaVariables, columnMetaVariables, groupMetaVariables, rowOdd, columnOdd);
    return std::make_pair(resultAsVector.first, resultAsVector.second.front());
}
 
template<DdType LibraryType, typename ValueType>
std::pair<storm::storage::SparseMatrix<ValueType>, std::vector<std::vector<ValueType>>> Add<LibraryType, ValueType>::toMatrixVectors(
    std::vector<storm::dd::Add<LibraryType, ValueType>> const& vectors, std::set<storm::expressions::Variable> const& groupMetaVariables,
    storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    std::set<storm::expressions::Variable> rowMetaVariables;
    std::set<storm::expressions::Variable> columnMetaVariables;
 
    for (auto const& variable : this->getContainedMetaVariables()) {
        // If the meta variable is a group meta variable, we do not insert it into the set of row/column meta variables.
        if (groupMetaVariables.contains(variable)) {
            continue;
        }
 
        if (variable.getName().size() > 0 && variable.getName().back() == '\'') {
            columnMetaVariables.insert(variable);
        } else {
            rowMetaVariables.insert(variable);
        }
    }
    // Count how many choices each row group has.
    Bdd<LibraryType> vectorsNotZero = this->getDdManager().getBddZero();
    for (auto const& v : vectors) {
        vectorsNotZero |= v.notZero();
    }
    std::vector<uint_fast64_t> rowGroupIndices = (this->notZero().existsAbstract(columnMetaVariables) || vectorsNotZero)
                                                     .template toAdd<uint_fast64_t>()
                                                     .sumAbstract(groupMetaVariables)
                                                     .toVector(rowOdd);
    return toMatrixVectors(std::move(rowGroupIndices), vectors, rowMetaVariables, columnMetaVariables, groupMetaVariables, rowOdd, columnOdd);
}
 
template<DdType LibraryType, typename ValueType>
std::pair<storm::storage::SparseMatrix<ValueType>, std::vector<std::vector<ValueType>>> Add<LibraryType, ValueType>::toMatrixVectors(
    std::vector<uint_fast64_t>&& rowGroupIndices, std::vector<storm::dd::Add<LibraryType, ValueType>> const& vectors,
    std::set<storm::expressions::Variable> const& rowMetaVariables, std::set<storm::expressions::Variable> const& columnMetaVariables,
    std::set<storm::expressions::Variable> const& groupMetaVariables, storm::dd::Odd const& rowOdd, storm::dd::Odd const& columnOdd) const {
    std::vector<uint_fast64_t> ddRowVariableIndices;
    std::vector<uint_fast64_t> ddColumnVariableIndices;
    std::vector<uint_fast64_t> ddGroupVariableIndices;
    std::set<storm::expressions::Variable> rowAndColumnMetaVariables;
 
    for (auto const& variable : rowMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddRowVariableIndices.push_back(ddVariable.getIndex());
        }
        rowAndColumnMetaVariables.insert(variable);
    }
    std::sort(ddRowVariableIndices.begin(), ddRowVariableIndices.end());
    for (auto const& variable : columnMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddColumnVariableIndices.push_back(ddVariable.getIndex());
        }
        rowAndColumnMetaVariables.insert(variable);
    }
    std::sort(ddColumnVariableIndices.begin(), ddColumnVariableIndices.end());
    for (auto const& variable : groupMetaVariables) {
        DdMetaVariable<LibraryType> const& metaVariable = this->getDdManager().getMetaVariable(variable);
        for (auto const& ddVariable : metaVariable.getDdVariables()) {
            ddGroupVariableIndices.push_back(ddVariable.getIndex());
        }
    }
    std::sort(ddGroupVariableIndices.begin(), ddGroupVariableIndices.end());
 
    Bdd<LibraryType> columnVariableCube = Bdd<LibraryType>::getCube(this->getDdManager(), columnMetaVariables);
 
    // Transform the row group sizes to the actual row group indices.
    rowGroupIndices.resize(rowGroupIndices.size() + 1);
    uint_fast64_t tmp = 0;
    uint_fast64_t tmp2 = 0;
    for (uint_fast64_t i = 1; i < rowGroupIndices.size(); ++i) {
        tmp2 = rowGroupIndices[i];
        rowGroupIndices[i] = rowGroupIndices[i - 1] + tmp;
        std::swap(tmp, tmp2);
    }
    rowGroupIndices[0] = 0;
 
    // Create the explicit vectors we need to fill later.
    std::vector<std::vector<ValueType>> explicitVectors(vectors.size());
    for (auto& v : explicitVectors) {
        v.resize(rowGroupIndices.back());
    }
 
    // Next, we split the matrix into one for each group. Note that this only works if the group variables are at the very top.
    std::vector<std::vector<Add<LibraryType, ValueType>>> groups;
    if (vectors.size() == 1) {
        // This version potentially has slightly reduced overhead
        std::vector<std::pair<InternalAdd<LibraryType, ValueType>, InternalAdd<LibraryType, ValueType>>> internalAddGroups =
            internalAdd.splitIntoGroups(vectors.front(), ddGroupVariableIndices);
        for (auto const& internalAdd : internalAddGroups) {
            groups.push_back({Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.second, rowMetaVariables),
                              Add<LibraryType, ValueType>(this->getDdManager(), internalAdd.first, rowAndColumnMetaVariables)});
        }
    } else {
        std::vector<InternalAdd<LibraryType, ValueType>> internalVectors;
        for (Add<LibraryType, ValueType> const& v : vectors) {
            internalVectors.push_back(v.getInternalAdd());
        }
        std::vector<std::vector<InternalAdd<LibraryType, ValueType>>> internalAddGroups = internalAdd.splitIntoGroups(internalVectors, ddGroupVariableIndices);
        for (auto const& internalAddGroup : internalAddGroups) {
            STORM_LOG_ASSERT(internalAddGroup.size() == vectors.size() + 1, "Unexpected group size.");
            std::vector<Add<LibraryType, ValueType>> group;
            for (uint64_t vectorIndex = 0; vectorIndex < vectors.size(); ++vectorIndex) {
                group.push_back(Add<LibraryType, ValueType>(this->getDdManager(), internalAddGroup[vectorIndex], rowMetaVariables));
            }
            // The last group member corresponds to the matrix.
            group.push_back(Add<LibraryType, ValueType>(this->getDdManager(), internalAddGroup.back(), rowAndColumnMetaVariables));
            groups.push_back(std::move(group));
        }
    }
 
    // Create the actual storage for the non-zero entries.
    std::vector<storm::storage::MatrixEntry<uint_fast64_t, ValueType>> columnsAndValues(this->getNonZeroCount());
 
    // Now compute the indices at which the individual rows start.
    std::vector<uint_fast64_t> rowIndications(rowGroupIndices.back() + 1);
 
    std::vector<InternalAdd<LibraryType, uint_fast64_t>> statesWithGroupEnabled(groups.size());
    InternalAdd<LibraryType, uint_fast64_t> stateToRowGroupCount = this->getDdManager().template getAddZero<uint_fast64_t>();
    for (uint_fast64_t i = 0; i < groups.size(); ++i) {
        std::vector<Add<LibraryType, ValueType>> const& group = groups[i];
        Bdd<LibraryType> matrixDdNotZero = group.back().notZero();
 
        std::vector<uint64_t> tmpRowIndications = matrixDdNotZero.template toAdd<uint_fast64_t>().sumAbstract(columnMetaVariables).toVector(rowOdd);
        for (uint64_t offset = 0; offset < tmpRowIndications.size(); ++offset) {
            rowIndications[rowGroupIndices[offset]] += tmpRowIndications[offset];
        }
 
        Bdd<LibraryType> vectorDdNotZero = this->getDdManager().getBddZero();
        for (uint64_t vectorIndex = 0; vectorIndex < vectors.size(); ++vectorIndex) {
            vectorDdNotZero |= group[vectorIndex].notZero();
            group[vectorIndex].internalAdd.composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, explicitVectors[vectorIndex],
                                                                     std::plus<ValueType>());
        }
 
        statesWithGroupEnabled[i] = (matrixDdNotZero.existsAbstract(columnMetaVariables) || vectorDdNotZero).template toAdd<uint_fast64_t>();
        stateToRowGroupCount += statesWithGroupEnabled[i];
        statesWithGroupEnabled[i].composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::plus<uint_fast64_t>());
    }
 
    // Since we modified the rowGroupIndices, we need to restore the correct values.
    stateToRowGroupCount.composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::minus<uint_fast64_t>());
 
    // Now that we computed the number of entries in each row, compute the corresponding offsets in the entry vector.
    tmp = 0;
    tmp2 = 0;
    for (uint_fast64_t i = 1; i < rowIndications.size(); ++i) {
        tmp2 = rowIndications[i];
        rowIndications[i] = rowIndications[i - 1] + tmp;
        std::swap(tmp, tmp2);
    }
    rowIndications[0] = 0;
 
    // Now actually fill the entry vector.
    for (uint_fast64_t i = 0; i < groups.size(); ++i) {
        auto const& dd = groups[i].back();
 
        dd.internalAdd.toMatrixComponents(rowGroupIndices, rowIndications, columnsAndValues, rowOdd, columnOdd, ddRowVariableIndices, ddColumnVariableIndices,
                                          true);
        statesWithGroupEnabled[i].composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::plus<uint_fast64_t>());
    }
 
    // Since we modified the rowGroupIndices, we need to restore the correct values.
    stateToRowGroupCount.composeWithExplicitVector(rowOdd, ddRowVariableIndices, rowGroupIndices, std::minus<uint_fast64_t>());
 
    // Since the last call to toMatrixRec modified the rowIndications, we need to restore the correct values.
    for (uint_fast64_t i = rowIndications.size() - 1; i > 0; --i) {
        rowIndications[i] = rowIndications[i - 1];
    }
    rowIndications[0] = 0;
 
    return std::make_pair(
        storm::storage::SparseMatrix<ValueType>(columnOdd.getTotalOffset(), std::move(rowIndications), std::move(columnsAndValues), std::move(rowGroupIndices)),
        std::move(explicitVectors));
}
 
template<DdType LibraryType, typename ValueType>
void Add<LibraryType, ValueType>::exportToDot(std::string const& filename, bool showVariablesIfPossible) const {
    internalAdd.exportToDot(filename, this->getDdManager().getDdVariableNames(), showVariablesIfPossible);
}
 
template<DdType LibraryType, typename ValueType>
void Add<LibraryType, ValueType>::exportToText(std::string const& filename) const {
    internalAdd.exportToText(filename);
}
 
template<DdType LibraryType, typename ValueType>
AddIterator<LibraryType, ValueType> Add<LibraryType, ValueType>::begin(bool enumerateDontCareMetaVariables) const {
    uint_fast64_t numberOfDdVariables = 0;
    for (auto const& metaVariable : this->getContainedMetaVariables()) {
        auto const& ddMetaVariable = this->getDdManager().getMetaVariable(metaVariable);
        numberOfDdVariables += ddMetaVariable.getNumberOfDdVariables();
    }
 
    return internalAdd.begin(this->getDdManager(), Bdd<LibraryType>::getCube(this->getDdManager(), this->getContainedMetaVariables()).getInternalBdd(),
                             numberOfDdVariables, this->getContainedMetaVariables(), enumerateDontCareMetaVariables);
}
 
template<DdType LibraryType, typename ValueType>
AddIterator<LibraryType, ValueType> Add<LibraryType, ValueType>::end() const {
    return internalAdd.end(this->getDdManager());
}
 
template<DdType LibraryType, typename ValueType>
std::ostream& operator<<(std::ostream& out, Add<LibraryType, ValueType> const& add) {
    out << "ADD [" << add.getInternalAdd().getStringId() << "] with " << add.getNonZeroCount() << " nnz, " << add.getNodeCount() << " nodes, "
        << add.getLeafCount() << " leaves\n";
    std::vector<std::string> variableNames;
    for (auto const& variable : add.getContainedMetaVariables()) {
        variableNames.push_back(variable.getName());
    }
    out << "contained variables: " << boost::algorithm::join(variableNames, ", ") << '\n';
    return out;
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType> Add<LibraryType, ValueType>::fromVector(DdManager<LibraryType> const& ddManager, std::vector<ValueType> const& values,
                                                                    Odd const& odd, std::set<storm::expressions::Variable> const& metaVariables) {
    return Add<LibraryType, ValueType>(ddManager,
                                       InternalAdd<LibraryType, ValueType>::fromVector(ddManager.getInternalDdManagerPointer(), values, odd,
                                                                                       ddManager.getSortedVariableIndices(metaVariables)),
                                       metaVariables);
}
 
template<DdType LibraryType, typename ValueType>
Bdd<LibraryType> Add<LibraryType, ValueType>::toBdd() const {
    return this->notZero();
}
 
template<DdType LibraryType, typename ValueType>
Odd Add<LibraryType, ValueType>::createOdd() const {
    return internalAdd.createOdd(this->getSortedVariableIndices());
}
 
template<DdType LibraryType, typename ValueType>
InternalAdd<LibraryType, ValueType> const& Add<LibraryType, ValueType>::getInternalAdd() const {
    return internalAdd;
}
 
template<DdType LibraryType, typename ValueType>
InternalDdManager<LibraryType> const& Add<LibraryType, ValueType>::getInternalDdManager() const {
    return internalAdd.getInternalDdManager();
}
 
template<DdType LibraryType, typename ValueType>
Add<LibraryType, ValueType>::operator InternalAdd<LibraryType, ValueType>() const {
    return internalAdd;
}
 
template<DdType LibraryType, typename ValueType>
template<typename TargetValueType>
std::enable_if_t<std::is_same_v<TargetValueType, ValueType>, Add<LibraryType, TargetValueType>> Add<LibraryType, ValueType>::toValueType() const {
    return *this;
}
 
template<DdType LibraryType, typename ValueType>
template<typename TargetValueType>
std::enable_if_t<!std::is_same_v<TargetValueType, ValueType>, Add<LibraryType, TargetValueType>> Add<LibraryType, ValueType>::toValueType() const {
    return Add<LibraryType, TargetValueType>(this->getDdManager(), internalAdd.template toValueType<TargetValueType>(), this->getContainedMetaVariables());
}
 
template class Add<storm::dd::DdType::CUDD, double>;
template std::ostream& operator<<(std::ostream& out, Add<storm::dd::DdType::CUDD, double> const& add);
template class Add<storm::dd::DdType::CUDD, uint_fast64_t>;
 
template class Add<storm::dd::DdType::Sylvan, double>;
template std::ostream& operator<<(std::ostream& out, Add<storm::dd::DdType::Sylvan, double> const& add);
template class Add<storm::dd::DdType::Sylvan, uint_fast64_t>;
 
template class Add<storm::dd::DdType::CUDD, storm::RationalNumber>;
template std::ostream& operator<<(std::ostream& out, Add<storm::dd::DdType::CUDD, storm::RationalNumber> const& add);
 
template class Add<storm::dd::DdType::Sylvan, storm::RationalNumber>;
template std::ostream& operator<<(std::ostream& out, Add<storm::dd::DdType::Sylvan, storm::RationalNumber> const& add);
template class Add<storm::dd::DdType::Sylvan, storm::RationalFunction>;
 
template Add<storm::dd::DdType::CUDD, storm::RationalNumber> Add<storm::dd::DdType::CUDD, storm::RationalNumber>::toValueType<storm::RationalNumber>() const;
template Add<storm::dd::DdType::CUDD, storm::RationalNumber> Add<storm::dd::DdType::CUDD, double>::toValueType<storm::RationalNumber>() const;
template Add<storm::dd::DdType::CUDD, double> Add<storm::dd::DdType::CUDD, storm::RationalNumber>::toValueType<double>() const;
 
template Add<storm::dd::DdType::Sylvan, storm::RationalNumber> Add<storm::dd::DdType::Sylvan, storm::RationalNumber>::toValueType<storm::RationalNumber>()
    const;
template Add<storm::dd::DdType::Sylvan, storm::RationalNumber> Add<storm::dd::DdType::Sylvan, double>::toValueType<storm::RationalNumber>() const;
template Add<storm::dd::DdType::Sylvan, double> Add<storm::dd::DdType::Sylvan, storm::RationalNumber>::toValueType<double>() const;
template Add<storm::dd::DdType::Sylvan, double> Add<storm::dd::DdType::Sylvan, storm::RationalFunction>::toValueType<double>() const;
}  // namespace dd
}  // namespace storm