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Add Multi-Array Aware Accumulator for Inter-Region Flow Rates
This commit introduces a new helper class Opm::EclInterRegFlowMapSingleFIP that wraps a vector of Opm::EclInterRegFlowMapSingleFIP along with the associate array names (e.g., "FIPNUM" and any additional "FIP*" arrays). We implement the same operations as the *SingleFIP type and simply loop over the internal accumulators to affect the operations. Add unit tests to exercise the new class, including simulating multiple MPI ranks that are communicated to a single I/O rank for summary output purposes.
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@ -50,9 +50,11 @@ addConnection(const Cell& source,
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};
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}
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if (! (source.isInterior || destination.isInterior)) {
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// Connection between two cells not on this process. Unlikely, but
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// nothing to do here.
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if (! source.isInterior ||
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(source.cartesianIndex > destination.cartesianIndex))
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{
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// Connection handled in different call. Don't double-count
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// contributions.
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return;
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}
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@ -64,14 +66,9 @@ addConnection(const Cell& source,
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return;
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}
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if ((source.isInterior && destination.isInterior) ||
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(source.isInterior && (r1 < r2)) ||
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(destination.isInterior && (r2 < r1)))
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{
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// Inter-region connection internal to an MPI rank or this rank owns
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// the flow rate across this connection.
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this->iregFlow_.addConnection(r1, r2, rates);
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}
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// Inter-region connection internal to an MPI rank or this rank owns
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// the flow rate across this connection.
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this->iregFlow_.addConnection(r1, r2, rates);
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}
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void Opm::EclInterRegFlowMapSingleFIP::compress()
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@ -107,3 +104,109 @@ assignGlobalMaxRegionID(const std::size_t regID)
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this->maxGlobalRegionID_ = regID;
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return true;
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}
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// =====================================================================
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//
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// Implementation of EclInterRegFlowMap (wrapper for multiple arrays)
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//
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// =====================================================================
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Opm::EclInterRegFlowMap::
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EclInterRegFlowMap(const std::size_t numCells,
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const std::vector<SingleRegion>& regions)
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{
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this->regionMaps_.reserve(regions.size());
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this->names_.reserve(regions.size());
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this->numCells_ = numCells;
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for (const auto& region : regions) {
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this->regionMaps_.emplace_back(region.definition);
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this->names_.push_back(region.name);
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}
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}
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void
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Opm::EclInterRegFlowMap::
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addConnection(const Cell& source,
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const Cell& destination,
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const data::InterRegFlowMap::FlowRates& rates)
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{
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for (auto& regionMap : this->regionMaps_) {
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regionMap.addConnection(source, destination, rates);
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}
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}
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void Opm::EclInterRegFlowMap::compress()
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{
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for (auto& regionMap : this->regionMaps_) {
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regionMap.compress();
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}
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}
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void Opm::EclInterRegFlowMap::clear()
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{
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for (auto& regionMap : this->regionMaps_) {
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regionMap.clear();
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}
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this->readIsConsistent_ = true;
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}
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const std::vector<std::string>&
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Opm::EclInterRegFlowMap::names() const
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{
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return this->names_;
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}
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std::vector<Opm::data::InterRegFlowMap>
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Opm::EclInterRegFlowMap::getInterRegFlows() const
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{
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auto maps = std::vector<data::InterRegFlowMap>{};
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maps.reserve(this->regionMaps_.size());
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for (auto& regionMap : this->regionMaps_) {
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maps.push_back(regionMap.getInterRegFlows());
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}
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return maps;
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}
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std::vector<std::size_t>
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Opm::EclInterRegFlowMap::getLocalMaxRegionID() const
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{
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auto maxLocalRegionID = std::vector<std::size_t>{};
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maxLocalRegionID.reserve(this->regionMaps_.size());
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for (auto& regionMap : this->regionMaps_) {
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maxLocalRegionID.push_back(regionMap.getLocalMaxRegionID());
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}
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return maxLocalRegionID;
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}
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bool
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Opm::EclInterRegFlowMap::
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assignGlobalMaxRegionID(const std::vector<std::size_t>& regID)
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{
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if (regID.size() != this->regionMaps_.size()) {
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return false;
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}
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auto assignmentOK = true;
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const auto numReg = regID.size();
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for (auto region = 0*numReg; region < numReg; ++region) {
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const auto ok = this->regionMaps_[region]
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.assignGlobalMaxRegionID(regID[region]);
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assignmentOK = assignmentOK && ok;
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}
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return assignmentOK;
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}
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bool Opm::EclInterRegFlowMap::readIsConsistent() const
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{
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return this->readIsConsistent_;
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}
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@ -49,6 +49,9 @@ namespace Opm {
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/// Cell's active index on local rank.
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int activeIndex{-1};
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/// Cell's global cell ID.
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int cartesianIndex{-1};
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/// Whether or not cell is interior to local rank.
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bool isInterior{true};
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};
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@ -163,6 +166,197 @@ namespace Opm {
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/// from a stream. For error detection.
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bool isReadFromStream_{false};
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};
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/// Inter-region flow accumulation maps for all region definition arrays
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class EclInterRegFlowMap
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{
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public:
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/// Minimal representation of a single named region defintion.
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///
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/// Name is typically "FIPNUM" or any additional "FIP*" array names.
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struct SingleRegion {
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/// Region definition array name
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std::string name;
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/// Region definition array.
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std::reference_wrapper<const std::vector<int>> definition;
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};
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/// Characteristics of a cell from a simulation grid.
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using Cell = EclInterRegFlowMapSingleFIP::Cell;
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/// Default constructor.
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EclInterRegFlowMap() = default;
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/// Constructor.
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///
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/// \param[in] numCells Number of cells on local MPI rank, including
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/// overlap cells if applicable.
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///
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/// \param[in] regions All applicable region definition arrays.
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explicit EclInterRegFlowMap(const std::size_t numCells,
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const std::vector<SingleRegion>& regions);
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EclInterRegFlowMap(const EclInterRegFlowMap& rhs) = default;
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EclInterRegFlowMap(EclInterRegFlowMap&& rhs) noexcept = default;
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EclInterRegFlowMap& operator=(const EclInterRegFlowMap& rhs) = default;
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EclInterRegFlowMap& operator=(EclInterRegFlowMap&& rhs) noexcept = default;
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/// Add flow rate connection between regions for all region
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/// definitions.
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///
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/// \param[in] source Cell from which the flow nominally originates.
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///
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/// \param[in] destination Cell into which flow nominally goes.
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///
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/// \param[in] rates Flow rates associated to single connection.
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///
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/// If both cells are in the same region, or if neither cell is
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/// interior to this MPI rank, then this function does nothing. If
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/// one cell is interior to this MPI rank and the other isn't, then
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/// this function will include the flow rate contribution if and
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/// only if the cell with the smallest associate region ID is
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/// interior to this MPI rank.
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void addConnection(const Cell& source,
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const Cell& destination,
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const data::InterRegFlowMap::FlowRates& rates);
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/// Form CSR adjacency matrix representation of input graph from
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/// connections established in previous calls to addConnection().
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///
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/// Number of rows in the CSR representation is the maximum FIP
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/// region ID.
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void compress();
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/// Clear all internal buffers, but preserve allocated capacity.
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void clear();
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/// Names of all applicable region definition arrays.
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///
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/// Mostly intended for summary output purposes.
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const std::vector<std::string>& names() const;
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/// Get read-only access to the underlying CSR representation.
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///
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/// Mostly intended for summary output purposes.
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std::vector<data::InterRegFlowMap> getInterRegFlows() const;
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/// Retrieve maximum FIP region ID on local MPI rank.
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std::vector<std::size_t> getLocalMaxRegionID() const;
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/// Assign maximum FIP region ID across all MPI ranks.
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///
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/// Fails if global maximum is smaller than local maximum region ID.
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///
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/// \param[in] regID Global maximum FIP region ID for this FIP
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/// definition array across all MPI ranks.
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///
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/// \return Whether or not assignment succeeded.
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bool assignGlobalMaxRegionID(const std::vector<std::size_t>& regID);
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/// Whether or not previous read() operation succeeded.
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bool readIsConsistent() const;
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/// Serialise internal representation to MPI message buffer
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///
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/// \tparam MessageBufferType Linear MPI message buffer. API should
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/// be similar to Dune::MessageBufferIF
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///
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/// \param[in,out] buffer Linear MPI message buffer instance.
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/// Function appends a partially linearised representation of
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/// \code *this \endcode to the buffer contents.
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template <class MessageBufferType>
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void write(MessageBufferType& buffer) const
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{
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buffer.write(this->names_.size());
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for (const auto& name : this->names_) {
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buffer.write(name);
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}
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for (const auto& map : this->regionMaps_) {
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map.write(buffer);
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}
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}
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/// Reconstitute internal object representation from MPI message
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/// buffer
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///
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/// This object (\code *this \endcode) is not usable in subsequent
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/// calls to \code addConnection() \endcode following a call to
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/// member function \code read() \endcode.
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///
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/// \tparam MessageBufferType Linear MPI message buffer. API should
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/// be similar to Dune::MessageBufferIF
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///
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/// \param[in,out] buffer Linear MPI message buffer instance.
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/// Function reads a partially linearised representation of \code
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/// *this \endcode from the buffer contents and advances the
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/// buffer's read position.
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template <class MessageBufferType>
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void read(MessageBufferType& buffer)
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{
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const auto names = this->readNames(buffer);
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if (names == this->names_) {
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// Input stream holds the maps in expected order (common
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// case). Read the maps and merge with internal values.
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for (auto& map : this->regionMaps_) {
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map.read(buffer);
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}
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}
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else {
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// Input stream does not hold the maps in expected order (or
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// different number of maps). Unexpected. Read the values
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// from the input stream, but do not merge with internal
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// values.
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auto map = EclInterRegFlowMapSingleFIP {
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std::vector<int>(this->numCells_, 1)
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};
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const auto numMaps = names.size();
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for (auto n = 0*numMaps; n < numMaps; ++n) {
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map.read(buffer);
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}
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this->readIsConsistent_ = false;
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}
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}
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private:
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/// Inter-region flow accumulators. One accumulator map for each
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/// region definition array.
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std::vector<EclInterRegFlowMapSingleFIP> regionMaps_{};
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/// Names of region definition arrays. Typically "FIPNUM" and other
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/// "FIPXYZ" array names.
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std::vector<std::string> names_;
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/// Number of cells, including overlap, reachable from this MPI
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/// rank.
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std::size_t numCells_{0};
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/// Wheter or not read() successfully updated this object from an
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/// input stream.
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bool readIsConsistent_{true};
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/// Retrieve array names from an input stream.
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///
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/// Needed for consistency checks.
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template <class MessageBufferType>
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std::vector<std::string> readNames(MessageBufferType& buffer) const
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{
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auto numNames = 0 * this->names_.size();
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buffer.read(numNames);
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auto names = std::vector<std::string>(numNames);
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for (auto name = 0*numNames; name < numNames; ++name) {
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buffer.read(names[name]);
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}
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return names;
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}
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};
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} // namespace Opm
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#endif // ECL_INTERREG_FLOWS_MODULE_HH
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