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Merge pull request #4802 from bska/remove-unused-return
Remove Unused Return Value
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commit
cc359a25cc
@ -192,12 +192,9 @@ protected:
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*
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* \param cartesianToCompressed Vector containing the compressed index (or -1 for inactive
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* cells) as the element at the cartesian index.
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* \return Two vector of NNCs (scaled by EDITNNC). The first one are the NNCs that have been applied
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* and the second the NNCs not resembled by faces of the grid. NNCs specified for
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* inactive cells are omitted in these vectors.
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* \return Nothing.
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*/
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std::tuple<std::vector<NNCdata>, std::vector<NNCdata>>
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applyNncToGridTrans_(const std::unordered_map<std::size_t,int>& cartesianToCompressed);
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void applyNncToGridTrans_(const std::unordered_map<std::size_t,int>& cartesianToCompressed);
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/// \brief Multiplies the grid transmissibilities according to EDITNNC.
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void applyEditNncToGridTrans_(const std::unordered_map<std::size_t,int>& globalToLocal);
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@ -823,16 +823,12 @@ computeFaceProperties(const Intersection& intersection,
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}
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template<class Grid, class GridView, class ElementMapper, class CartesianIndexMapper, class Scalar>
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std::tuple<std::vector<NNCdata>, std::vector<NNCdata>>
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void
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EclTransmissibility<Grid,GridView,ElementMapper,CartesianIndexMapper,Scalar>::
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applyNncToGridTrans_(const std::unordered_map<std::size_t,int>& cartesianToCompressed)
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{
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// First scale NNCs with EDITNNC.
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std::vector<NNCdata> unprocessedNnc;
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std::vector<NNCdata> processedNnc;
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const auto& nnc_input = eclState_.getInputNNC().input();
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if (nnc_input.empty())
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return std::make_tuple(processedNnc, unprocessedNnc);
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for (const auto& nncEntry : nnc_input) {
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auto c1 = nncEntry.cell1;
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@ -859,20 +855,13 @@ applyNncToGridTrans_(const std::unordered_map<std::size_t,int>& cartesianToCompr
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}
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auto candidate = trans_.find(isId(low, high));
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if (candidate == trans_.end())
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// This NNC is not resembled by the grid. Save it for later
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// processing with local cell values
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unprocessedNnc.push_back(nncEntry);
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else {
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if (candidate != trans_.end()) {
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// NNC is represented by the grid and might be a neighboring connection
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// In this case the transmissibilty is added to the value already
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// set or computed.
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candidate->second += nncEntry.trans;
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processedNnc.push_back(nncEntry);
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}
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}
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return std::make_tuple(processedNnc, unprocessedNnc);
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}
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template<class Grid, class GridView, class ElementMapper, class CartesianIndexMapper, class Scalar>
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