SumIntoTableIndexes.hh
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/*
* SumIntoTableIndexes.hh
*
* Created on: Mar 26, 2019
* Author: AKKA IS
*/
#ifndef SUMINTOTABLEINDEXES_HH_
#define SUMINTOTABLEINDEXES_HH_
#include "Parameter.hh"
#include "ParamData.hh"
#include "DataTypeMath.hh"
#include "Operation.hh"
#include "tools.hh"
namespace AMDA {
namespace Parameters {
namespace SumIntoTableIndexes {
/**
* @class SumIntoTableIndexes1D
* @brief It is responsible to compute the sum of 1D parameter data into a table of indexes.
* @details This class implement the interface Operation.
*/
template<typename DataType>
class SumIntoTableIndexes1D : public Operation {
public:
/**
* @brief Constructor.
* @details Create the ParamData type of the input ParamData.
*/
SumIntoTableIndexes1D(Process& pProcess, ParamDataSpec<std::vector<DataType> >& paramInput, int minIndex, int maxIndex, std::string type)
: Operation(pProcess),
_paramInput(paramInput),
_paramOutput(new ParamDataSpec<DataType>()), _minIndex(minIndex), _maxIndex(maxIndex), _type(type) {
_paramDataOutput = _paramOutput;
}
virtual ~SumIntoTableIndexes1D() {
}
/**
* @overload Operation::write(ParamDataIndexInfo &pParamDataIndexInfo)
*/
void write(ParamDataIndexInfo &pParamDataIndexInfo) {
for (unsigned int _index = pParamDataIndexInfo._startIndex;
_index < pParamDataIndexInfo._startIndex + pParamDataIndexInfo._nbDataToProcess;
++_index) {
double crtTime = _paramInput.getTime(_index);
std::vector<DataType> inputElt = _paramInput.get(_index);
DataType output;
if (_type == "average" || _type == "sum"){
output = TableTools::tools<DataType>::sumAverage(inputElt, _minIndex, _maxIndex, _type == "average");
}else {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("SumIntoTableIndexes not supported process " + _type));
}
_paramOutput->pushTime(crtTime);
_paramOutput->getDataList().push_back(output);
}
}
private:
/**<
* @brief It is the channel of data derived
*/
ParamDataSpec<std::vector<DataType> > &_paramInput;
/**<
* @brief It is the channel of the data derived
*/
ParamDataSpec<DataType> *_paramOutput;
int _minIndex;
int _maxIndex;
std::string _type;
};
/**
* @class SumIntoTableIndexes2DOneRange
* @brief It is responsible to compute the sum of 2D parameter data into one table indexes.
* @details This class implement the interface Operation.
*/
template<typename DataType>
class SumIntoTableIndexes2DOneRange : public Operation {
public:
/**
* @brief Constructor.
* @details Create the ParamData type of the input ParamData when only one range is defined for one dimension (the output data is a vector).
*/
SumIntoTableIndexes2DOneRange(Process& pProcess, ParamDataSpec<Tab2DData<DataType> >& paramInput, int minIndex, int maxIndex, int tableRelatedDim, std::string type)
: Operation(pProcess),
_paramInput(paramInput),
_paramOutput(new ParamDataSpec<std::vector<DataType>>()),
_tableRelatedDim(tableRelatedDim), _minIndex(minIndex), _maxIndex(maxIndex), _type(type) {
_paramDataOutput = _paramOutput;
}
virtual ~SumIntoTableIndexes2DOneRange() {
}
/**
* @overload Operation::write(ParamDataIndexInfo &pParamDataIndexInfo)
*/
void write(ParamDataIndexInfo &pParamDataIndexInfo) {
for (unsigned int _index = pParamDataIndexInfo._startIndex;
_index < pParamDataIndexInfo._startIndex + pParamDataIndexInfo._nbDataToProcess;
++_index) {
double crtTime = _paramInput.getTime(_index);
Tab2DData<DataType> inputElt = _paramInput.get(_index);
std::vector<DataType> outputElt;
if (_type == "average" || _type == "sum"){
outputElt = TableTools::tools<DataType>::sumAverage2D(inputElt, _minIndex, _maxIndex, _tableRelatedDim, _type == "average");
}else {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("SumIntoTableIndexes not supported process " + _type));
}
_paramOutput->pushTime(crtTime);
_paramOutput->getDataList().push_back(outputElt);
}
}
private:
/**<
* @brief It is the channel of data derived
*/
ParamDataSpec<Tab2DData<DataType> > &_paramInput;
ParamDataSpec<std::vector<DataType>> *_paramOutput;
int _tableRelatedDim;
int _minIndex;
int _maxIndex;
std::string _type;
};
/**
* @class SumIntoIndexesTable2DTwoRanges
* @brief It is responsible to compute the sum of 2D parameter data into two tables ranges of indexes.
* @details This class implement the interface Operation.
*/
template<typename DataType>
class MixedTableIndexes2DTwoRanges : public Operation {
public:
/**
* @brief Constructor.
* @details Create the ParamData type of the input ParamData when a range is defined for each dimensions (the output data is a scalar).
*/
MixedTableIndexes2DTwoRanges(Process& pProcess, ParamDataSpec<Tab2DData<DataType> >& paramInput, int minIndex1, int maxIndex1, int tableRelatedDim, std::string type1, int minIndex2, int maxIndex2, std::string type2)
: Operation(pProcess),
_paramInput(paramInput),
_paramOutput(new ParamDataSpec<std::vector<DataType>>()),
_minIndex1(minIndex1), _maxIndex1(maxIndex1), _tableRelatedDim(tableRelatedDim), _type1(type1), _minIndex2(minIndex2), _maxIndex2(maxIndex2), _type2(type2) {
_paramDataOutput = _paramOutput;
}
virtual ~MixedTableIndexes2DTwoRanges() {
}
/**
* @overload Operation::write(ParamDataIndexInfo &pParamDataIndexInfo)
*/
void write(ParamDataIndexInfo &pParamDataIndexInfo) {
for (unsigned int _index = pParamDataIndexInfo._startIndex;
_index < pParamDataIndexInfo._startIndex + pParamDataIndexInfo._nbDataToProcess;
++_index) {
double crtTime = _paramInput.getTime(_index);
Tab2DData<DataType> inputElt = _paramInput.get(_index);
Tab2DData<DataType> firstOutput;
std::vector<DataType> outputElt;
if (_type1 == "all" && (_type2 == "average" || _type2 == "sum")){
firstOutput = TableTools::tools<DataType>::allValues(inputElt, _minIndex1, _maxIndex1,0);
outputElt = TableTools::tools<DataType>::sumAverage2D(firstOutput,_minIndex2,_maxIndex2, 1, _type2 == "average");
}else if(_type2 == "all" && (_type1 == "average" || _type1 == "sum")){
firstOutput = TableTools::tools<DataType>::allValues(inputElt, _minIndex2, _maxIndex2,1);
outputElt = TableTools::tools<DataType>::sumAverage2D(firstOutput,_minIndex1,_maxIndex1, 0, _type1 == "average");
}else {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("SumIntoTableIndexes not supported process " + _type1+" "+_type2));
}
_paramOutput->pushTime(crtTime);
_paramOutput->getDataList().push_back(outputElt);
}
}
private:
/**<
* @brief It is the channel of data derived
*/
ParamDataSpec<Tab2DData<DataType> > &_paramInput;
ParamDataSpec<std::vector<DataType>> *_paramOutput;
int _minIndex1;
int _maxIndex1;
int _tableRelatedDim;
std::string _type1;
int _minIndex2;
int _maxIndex2;
std::string _type2;
};
template<typename DataType>
class SumIntoTableIndexes2DTwoRanges : public Operation {
public:
/**
* @brief Constructor.
* @details Create the ParamData type of the input ParamData when a range is defined for each dimensions (the output data is a scalar).
*/
SumIntoTableIndexes2DTwoRanges(Process& pProcess, ParamDataSpec<Tab2DData<DataType> >& paramInput, int minIndex1, int maxIndex1, int tableRelatedDim, std::string type1, int minIndex2, int maxIndex2, std::string type2)
: Operation(pProcess),
_paramInput(paramInput),
_paramOutput(new ParamDataSpec<DataType>()),
_minIndex1(minIndex1), _maxIndex1(maxIndex1), _tableRelatedDim(tableRelatedDim), _type1(type1), _minIndex2(minIndex2), _maxIndex2(maxIndex2), _type2(type2) {
_paramDataOutput = _paramOutput;
}
virtual ~SumIntoTableIndexes2DTwoRanges() {
}
/**
* @overload Operation::write(ParamDataIndexInfo &pParamDataIndexInfo)
*/
void write(ParamDataIndexInfo &pParamDataIndexInfo) {
for (unsigned int _index = pParamDataIndexInfo._startIndex;
_index < pParamDataIndexInfo._startIndex + pParamDataIndexInfo._nbDataToProcess;
++_index) {
double crtTime = _paramInput.getTime(_index);
Tab2DData<DataType> inputElt = _paramInput.get(_index);
DataType outputElt;
if (_type1 == _type2 && (_type1 == "average" || _type2 == "sum")){
outputElt = TableTools::tools<DataType>::sumAverage2DFull(inputElt, _minIndex1, _maxIndex1,
_minIndex2, _maxIndex2, _tableRelatedDim, _type1 == "average");
}else if((_type1 == "average" && _type2 == "sum")||(_type1 == "sum" && _type2 =="average" )){
std::vector<DataType> firstOutput = TableTools::tools<DataType>::sumAverage2D(inputElt, _minIndex1, _maxIndex1, 0, _type1 == "average");
outputElt = TableTools::tools<DataType>::sumAverage(firstOutput, _minIndex2, _maxIndex2, _type1 == "average");
}else {
BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("SumIntoTableIndexes not supported process " + _type1+" "+_type2));
}
_paramOutput->pushTime(crtTime);
_paramOutput->getDataList().push_back(outputElt);
}
}
private:
/**<
* @brief It is the channel of data derived
*/
ParamDataSpec<Tab2DData<DataType> > &_paramInput;
ParamDataSpec<DataType> *_paramOutput;
int _minIndex1;
int _maxIndex1;
int _tableRelatedDim;
std::string _type1;
int _minIndex2;
int _maxIndex2;
std::string _type2;
};
} /* namespace SumIntoTableIndexes */
} /* namespace Parameters */
} /* namespace AMDA */
#endif /* SUMINTOTABLEINDEXES_HH_ */