[630] | 1 | /*! |
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| 2 | \file axis_algorithm_interpolate.cpp |
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| 3 | \author Ha NGUYEN |
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| 4 | \since 23 June 2015 |
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| 5 | \date 02 Jul 2015 |
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| 6 | |
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| 7 | \brief Algorithm for interpolation on an axis. |
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| 8 | */ |
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| 9 | #include "axis_algorithm_interpolate.hpp" |
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| 10 | #include <algorithm> |
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| 11 | #include "context.hpp" |
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| 12 | #include "context_client.hpp" |
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| 13 | #include "utils.hpp" |
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[827] | 14 | #include "grid.hpp" |
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| 15 | #include "distribution_client.hpp" |
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[630] | 16 | |
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| 17 | namespace xios { |
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| 18 | |
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| 19 | CAxisAlgorithmInterpolate::CAxisAlgorithmInterpolate(CAxis* axisDestination, CAxis* axisSource, CInterpolateAxis* interpAxis) |
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[827] | 20 | : CAxisAlgorithmTransformation(axisDestination, axisSource), coordinate_(), transPosition_() |
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[630] | 21 | { |
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| 22 | interpAxis->checkValid(axisSource); |
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| 23 | order_ = interpAxis->order.getValue(); |
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[827] | 24 | if (!interpAxis->coordinate.isEmpty()) |
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[630] | 25 | { |
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[827] | 26 | coordinate_ = interpAxis->coordinate.getValue(); |
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| 27 | this->idAuxInputs_.resize(1); |
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| 28 | this->idAuxInputs_[0] = coordinate_; |
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[630] | 29 | } |
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| 30 | |
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[827] | 31 | // computeIndexSourceMapping(); |
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[630] | 32 | } |
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| 33 | |
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| 34 | /*! |
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| 35 | Compute the index mapping between axis on grid source and one on grid destination |
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| 36 | */ |
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[827] | 37 | void CAxisAlgorithmInterpolate::computeIndexSourceMapping_(const std::vector<CArray<double,1>* >& dataAuxInputs) |
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[630] | 38 | { |
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| 39 | CContext* context = CContext::getCurrent(); |
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| 40 | CContextClient* client=context->client; |
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| 41 | int nbClient = client->clientSize; |
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[827] | 42 | CArray<bool,1>& axisMask = axisSrc_->mask; |
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[666] | 43 | int srcSize = axisSrc_->n_glo.getValue(); |
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[827] | 44 | std::vector<CArray<double,1> > vecAxisValue; |
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[630] | 45 | |
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[827] | 46 | // Fill in axis value from coordinate |
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| 47 | fillInAxisValue(vecAxisValue, dataAuxInputs); |
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[630] | 48 | |
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[827] | 49 | for (int idx = 0; idx < vecAxisValue.size(); ++idx) |
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| 50 | { |
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| 51 | CArray<double,1>& axisValue = vecAxisValue[idx]; |
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| 52 | std::vector<double> recvBuff(srcSize); |
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| 53 | std::vector<int> indexVec(srcSize); |
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| 54 | retrieveAllAxisValue(axisValue, axisMask, recvBuff, indexVec); |
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| 55 | XIOSAlgorithms::sortWithIndex<double, CVectorStorage>(recvBuff, indexVec); |
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| 56 | computeInterpolantPoint(recvBuff, indexVec, idx); |
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| 57 | } |
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[630] | 58 | } |
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| 59 | |
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| 60 | /*! |
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| 61 | Compute the interpolant points |
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| 62 | Assume that we have all value of axis source, with these values, need to calculate weight (coeff) of Lagrange polynomial |
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| 63 | \param [in] axisValue all value of axis source |
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| 64 | \param [in] indexVec permutation index of axisValue |
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| 65 | */ |
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[827] | 66 | void CAxisAlgorithmInterpolate::computeInterpolantPoint(const std::vector<double>& axisValue, const std::vector<int>& indexVec, int transPos) |
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[630] | 67 | { |
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| 68 | std::vector<double>::const_iterator itb = axisValue.begin(), ite = axisValue.end(); |
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| 69 | std::vector<double>::const_iterator itLowerBound, itUpperBound, it; |
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| 70 | std::vector<int>::const_iterator itbVec = indexVec.begin(), itVec; |
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| 71 | const double sfmax = NumTraits<double>::sfmax(); |
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| 72 | |
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[666] | 73 | int ibegin = axisDest_->begin.getValue(); |
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[630] | 74 | CArray<double,1>& axisDestValue = axisDest_->value; |
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| 75 | int numValue = axisDestValue.numElements(); |
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| 76 | std::map<int, std::vector<std::pair<int,double> > > interpolatingIndexValues; |
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| 77 | |
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| 78 | for (int idx = 0; idx < numValue; ++idx) |
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| 79 | { |
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| 80 | double destValue = axisDestValue(idx); |
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| 81 | itLowerBound = std::lower_bound(itb, ite, destValue); |
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| 82 | itUpperBound = std::upper_bound(itb, ite, destValue); |
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| 83 | if ((ite != itUpperBound) && (sfmax == *itUpperBound)) itUpperBound = ite; |
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| 84 | |
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| 85 | // If the value is not in the range, that means we'll do extra-polation |
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| 86 | if (ite == itLowerBound) // extra-polation |
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| 87 | { |
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| 88 | itLowerBound = itb; |
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| 89 | itUpperBound = itb + order_+1; |
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| 90 | } |
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| 91 | else if (ite == itUpperBound) // extra-polation |
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| 92 | { |
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| 93 | itLowerBound = itUpperBound - order_-1; |
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| 94 | } |
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| 95 | else |
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| 96 | { |
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| 97 | if (itb != itLowerBound) --itLowerBound; |
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| 98 | if (ite != itUpperBound) ++itUpperBound; |
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| 99 | int order = (order_ + 1) - 2; |
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| 100 | bool down = true; |
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| 101 | for (int k = 0; k < order; ++k) |
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| 102 | { |
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| 103 | if ((itb != itLowerBound) && down) |
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| 104 | { |
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| 105 | --itLowerBound; |
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| 106 | down = false; |
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| 107 | continue; |
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| 108 | } |
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| 109 | if ((ite != itUpperBound) && (sfmax != *itUpperBound)) |
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| 110 | { |
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| 111 | ++itUpperBound; |
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| 112 | down = true; |
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| 113 | } |
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| 114 | } |
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| 115 | } |
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| 116 | |
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| 117 | for (it = itLowerBound; it != itUpperBound; ++it) |
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| 118 | { |
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| 119 | int index = std::distance(itb, it); |
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| 120 | interpolatingIndexValues[idx+ibegin].push_back(make_pair(indexVec[index],*it)); |
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| 121 | } |
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| 122 | } |
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[827] | 123 | computeWeightedValueAndMapping(interpolatingIndexValues, transPos); |
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[630] | 124 | } |
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| 125 | |
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| 126 | /*! |
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| 127 | Compute weight (coeff) of Lagrange's polynomial |
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| 128 | \param [in] interpolatingIndexValues the necessary axis value to calculate the coeffs |
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| 129 | */ |
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[827] | 130 | void CAxisAlgorithmInterpolate::computeWeightedValueAndMapping(const std::map<int, std::vector<std::pair<int,double> > >& interpolatingIndexValues, int transPos) |
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[630] | 131 | { |
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[827] | 132 | std::map<int, std::vector<int> >& transMap = this->transformationMapping_[transPos]; |
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| 133 | std::map<int, std::vector<double> >& transWeight = this->transformationWeight_[transPos]; |
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[630] | 134 | std::map<int, std::vector<std::pair<int,double> > >::const_iterator itb = interpolatingIndexValues.begin(), it, |
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| 135 | ite = interpolatingIndexValues.end(); |
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[666] | 136 | int ibegin = axisDest_->begin.getValue(); |
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[630] | 137 | for (it = itb; it != ite; ++it) |
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| 138 | { |
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| 139 | int globalIndexDest = it->first; |
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| 140 | double localValue = axisDest_->value(globalIndexDest - ibegin); |
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| 141 | const std::vector<std::pair<int,double> >& interpVal = it->second; |
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| 142 | int interpSize = interpVal.size(); |
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[827] | 143 | transMap[globalIndexDest].resize(interpSize); |
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| 144 | transWeight[globalIndexDest].resize(interpSize); |
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[630] | 145 | for (int idx = 0; idx < interpSize; ++idx) |
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| 146 | { |
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| 147 | int index = interpVal[idx].first; |
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| 148 | double weight = 1.0; |
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| 149 | |
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| 150 | for (int k = 0; k < interpSize; ++k) |
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| 151 | { |
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| 152 | if (k == idx) continue; |
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| 153 | weight *= (localValue - interpVal[k].second); |
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| 154 | weight /= (interpVal[idx].second - interpVal[k].second); |
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| 155 | } |
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[827] | 156 | transMap[globalIndexDest][idx] = index; |
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| 157 | transWeight[globalIndexDest][idx] = weight; |
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| 158 | if (!transPosition_.empty()) |
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| 159 | { |
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| 160 | (this->transformationPosition_[transPos])[globalIndexDest] = transPosition_[transPos]; |
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| 161 | } |
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[630] | 162 | } |
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| 163 | } |
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| 164 | } |
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| 165 | |
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| 166 | /*! |
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| 167 | Each client retrieves all values of an axis |
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| 168 | \param [in/out] recvBuff buffer for receiving values (already allocated) |
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| 169 | \param [in/out] indexVec mapping between values and global index of axis |
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| 170 | */ |
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[827] | 171 | void CAxisAlgorithmInterpolate::retrieveAllAxisValue(const CArray<double,1>& axisValue, const CArray<bool,1>& axisMask, |
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| 172 | std::vector<double>& recvBuff, std::vector<int>& indexVec) |
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[630] | 173 | { |
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| 174 | CContext* context = CContext::getCurrent(); |
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| 175 | CContextClient* client=context->client; |
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| 176 | int nbClient = client->clientSize; |
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| 177 | |
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[666] | 178 | int srcSize = axisSrc_->n_glo.getValue(); |
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[630] | 179 | int numValue = axisValue.numElements(); |
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| 180 | |
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| 181 | if (srcSize == numValue) // Only one client or axis not distributed |
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| 182 | { |
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| 183 | for (int idx = 0; idx < srcSize; ++idx) |
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| 184 | { |
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| 185 | if (axisMask(idx)) |
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| 186 | { |
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| 187 | recvBuff[idx] = axisValue(idx); |
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| 188 | indexVec[idx] = idx; |
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| 189 | } |
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| 190 | else recvBuff[idx] = NumTraits<double>::sfmax(); |
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| 191 | } |
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| 192 | |
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| 193 | } |
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| 194 | else // Axis distributed |
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| 195 | { |
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| 196 | double* sendValueBuff = new double [numValue]; |
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| 197 | int* sendIndexBuff = new int [numValue]; |
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| 198 | int* recvIndexBuff = new int [srcSize]; |
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| 199 | |
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[666] | 200 | int ibegin = axisSrc_->begin.getValue(); |
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[630] | 201 | for (int idx = 0; idx < numValue; ++idx) |
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| 202 | { |
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| 203 | if (axisMask(idx)) |
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| 204 | { |
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| 205 | sendValueBuff[idx] = axisValue(idx); |
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| 206 | sendIndexBuff[idx] = idx + ibegin; |
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| 207 | } |
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| 208 | else |
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| 209 | { |
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| 210 | sendValueBuff[idx] = NumTraits<double>::sfmax(); |
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| 211 | sendIndexBuff[idx] = -1; |
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| 212 | } |
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| 213 | } |
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| 214 | |
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| 215 | int* recvCount=new int[nbClient]; |
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| 216 | MPI_Allgather(&numValue,1,MPI_INT,recvCount,1,MPI_INT,client->intraComm); |
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| 217 | |
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| 218 | int* displ=new int[nbClient]; |
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| 219 | displ[0]=0 ; |
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| 220 | for(int n=1;n<nbClient;n++) displ[n]=displ[n-1]+recvCount[n-1]; |
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| 221 | |
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| 222 | // Each client have enough global info of axis |
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| 223 | MPI_Allgatherv(sendIndexBuff,numValue,MPI_INT,recvIndexBuff,recvCount,displ,MPI_INT,client->intraComm); |
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| 224 | MPI_Allgatherv(sendValueBuff,numValue,MPI_DOUBLE,&(recvBuff[0]),recvCount,displ,MPI_DOUBLE,client->intraComm); |
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| 225 | |
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| 226 | for (int idx = 0; idx < srcSize; ++idx) |
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| 227 | { |
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| 228 | indexVec[idx] = recvIndexBuff[idx]; |
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| 229 | } |
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| 230 | |
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| 231 | delete [] displ; |
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| 232 | delete [] recvCount; |
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| 233 | delete [] recvIndexBuff; |
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| 234 | delete [] sendIndexBuff; |
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| 235 | delete [] sendValueBuff; |
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| 236 | } |
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| 237 | } |
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| 238 | |
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[827] | 239 | /*! |
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| 240 | Fill in axis value dynamically from a field whose grid is composed of a domain and an axis |
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| 241 | \param [in/out] vecAxisValue vector axis value filled in from input field |
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| 242 | */ |
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| 243 | void CAxisAlgorithmInterpolate::fillInAxisValue(std::vector<CArray<double,1> >& vecAxisValue, |
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| 244 | const std::vector<CArray<double,1>* >& dataAuxInputs) |
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| 245 | { |
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| 246 | if (coordinate_.empty()) |
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| 247 | { |
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| 248 | vecAxisValue.resize(1); |
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| 249 | vecAxisValue[0].resize(axisSrc_->value.numElements()); |
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| 250 | vecAxisValue[0] = axisSrc_->value; |
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| 251 | this->transformationMapping_.resize(1); |
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| 252 | this->transformationWeight_.resize(1); |
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| 253 | } |
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| 254 | else |
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| 255 | { |
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| 256 | CField* field = CField::get(coordinate_); |
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| 257 | CGrid* grid = field->grid; |
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| 258 | |
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| 259 | std::vector<CDomain*> domListP = grid->getDomains(); |
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| 260 | std::vector<CAxis*> axisListP = grid->getAxis(); |
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| 261 | if (domListP.empty() || axisListP.empty() || (1 < domListP.size()) || (1 < axisListP.size())) |
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| 262 | ERROR("CAxisAlgorithmInterpolate::fillInAxisValue(std::vector<CArray<double,1> >& vecAxisValue)", |
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| 263 | << "XIOS only supports dynamic interpolation with coordinate (field) associated with grid composed of a domain and an axis" |
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| 264 | << "Coordinate (field) id = " <<field->getId() << std::endl |
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| 265 | << "Associated grid id = " << grid->getId()); |
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| 266 | |
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| 267 | CDomain* dom = domListP[0]; |
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| 268 | size_t vecAxisValueSize = dom->i_index.numElements(); |
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| 269 | vecAxisValue.resize(vecAxisValueSize); |
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| 270 | if (transPosition_.empty()) |
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| 271 | { |
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| 272 | transPosition_.resize(vecAxisValueSize); |
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| 273 | for (size_t idx = 0; idx < vecAxisValueSize; ++idx) |
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| 274 | { |
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| 275 | transPosition_[idx].resize(2); |
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| 276 | transPosition_[idx][0] = (dom->i_index)(idx); |
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| 277 | transPosition_[idx][1] = (dom->j_index)(idx); |
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| 278 | } |
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| 279 | } |
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| 280 | this->transformationMapping_.resize(vecAxisValueSize); |
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| 281 | this->transformationWeight_.resize(vecAxisValueSize); |
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| 282 | this->transformationPosition_.resize(vecAxisValueSize); |
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| 283 | |
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| 284 | const std::vector<size_t>& globalIndexSendToServer = grid->getDistributionClient()->getGlobalDataIndexSendToServer(); |
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| 285 | const std::vector<int>& localDataSendToServer = grid->getDistributionClient()->getLocalDataIndexSendToServer(); |
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| 286 | std::vector<int> permutIndex(globalIndexSendToServer.size()); |
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| 287 | std::vector<int>::iterator itVec; |
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| 288 | XIOSAlgorithms::fillInIndex(globalIndexSendToServer.size(), permutIndex); |
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| 289 | XIOSAlgorithms::sortWithIndex<size_t, CVectorStorage>(globalIndexSendToServer, permutIndex); |
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| 290 | size_t axisSrcSize = axisSrc_->index.numElements(); |
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| 291 | std::vector<int> globalDimension = grid->getGlobalDimension(); |
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| 292 | XIOSBinarySearchWithIndex<size_t> binSearch(globalIndexSendToServer); |
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| 293 | for (size_t idx = 0; idx < vecAxisValueSize; ++idx) |
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| 294 | { |
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| 295 | size_t axisValueSize = 0; |
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| 296 | for (size_t jdx = 0; jdx < axisSrcSize; ++jdx) |
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| 297 | { |
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| 298 | size_t globalIndex = ((dom->i_index)(idx) + (dom->j_index)(idx)*globalDimension[0]) + (axisSrc_->index)(jdx)*globalDimension[0]*globalDimension[1]; |
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| 299 | if (binSearch.search(permutIndex.begin(), permutIndex.end(), globalIndex, itVec)) |
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| 300 | { |
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| 301 | ++axisValueSize; |
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| 302 | } |
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| 303 | } |
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| 304 | |
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| 305 | vecAxisValue[idx].resize(axisValueSize); |
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| 306 | axisValueSize = 0; |
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| 307 | for (size_t jdx = 0; jdx < axisSrcSize; ++jdx) |
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| 308 | { |
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| 309 | size_t globalIndex = ((dom->i_index)(idx) + (dom->j_index)(idx)*globalDimension[0]) + (axisSrc_->index)(jdx)*globalDimension[0]*globalDimension[1]; |
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| 310 | if (binSearch.search(permutIndex.begin(), permutIndex.end(), globalIndex, itVec)) |
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| 311 | { |
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| 312 | vecAxisValue[idx](axisValueSize) = (*dataAuxInputs[0])(localDataSendToServer[*itVec]); |
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| 313 | ++axisValueSize; |
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| 314 | } |
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| 315 | } |
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| 316 | } |
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| 317 | } |
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[630] | 318 | } |
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[827] | 319 | |
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| 320 | } |
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