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src/ExternLib/sum_into_table_indexes/SumIntoTableIndexes.hh 6.86 KB
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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"

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)
	: Operation(pProcess),
	  _paramInput(paramInput),
	  _paramOutput(new ParamDataSpec<DataType>()), _minIndex(minIndex), _maxIndex(maxIndex) {
	  _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);
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		  DataType output;
		  output << NotANumber();
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		  for (int i = _minIndex; i <= _maxIndex; ++i) {
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			  if ((i >= (int)inputElt.size()) || isNAN(inputElt[i]))
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				  continue;
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			  if (isNAN(output))
				output = inputElt[i];
			  else
			  	output += inputElt[i];
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		  }

		  _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;
};

/**
 * @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)
	: Operation(pProcess),
	  _paramInput(paramInput),
	  _paramOutput(new ParamDataSpec<std::vector<DataType>>()),
	  _tableRelatedDim(tableRelatedDim), _minIndex(minIndex), _maxIndex(maxIndex) {
		_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 (_tableRelatedDim == 0) {
				outputElt.resize(inputElt.getDim2Size(), 0);
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				outputElt << NotANumber();
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				for (int i = _minIndex; i <= _maxIndex; ++i) {
					for (int j = 0; j < inputElt.getDim2Size(); ++j) {
						if (isNAN(inputElt[i][j]))
							continue;
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						if (isNAN(outputElt[j]))
							outputElt[j] = inputElt[i][j];
						else
							outputElt[j] += inputElt[i][j];
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					}
				}
			}
			else {
				outputElt.resize(inputElt.getDim1Size(), 0);
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				outputElt << NotANumber();
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				for (int j = _minIndex; j <= _maxIndex; ++j) {
					for (int i = 0; i < inputElt.getDim1Size(); ++i) {
						if (isNAN(inputElt[i][j]))
							continue;
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						if (isNAN(outputElt[i]))
							outputElt[i] = inputElt[i][j];
						else
							outputElt[i] += inputElt[i][j];
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					}
				}
			}

			_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;
};

/**
 * @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 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 table1RelatedDim, int minIndex2, int maxIndex2)
	: Operation(pProcess),
	  _paramInput(paramInput),
	  _paramOutput(new ParamDataSpec<DataType>()),
	  _table1RelatedDim(table1RelatedDim), _minIndex1(minIndex1), _maxIndex1(maxIndex1), _minIndex2(minIndex2), _maxIndex2(maxIndex2) {
		_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);
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			DataType outputElt;
			outputElt << NotANumber();
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			for (int i = _minIndex1; i <= _maxIndex1; ++i) {
				for (int j = _minIndex2; j <= _maxIndex2; ++j) {
					if (_table1RelatedDim == 0) {
						if (isNAN(inputElt[i][j]))
							continue;
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						if (isNAN(outputElt))
							outputElt = inputElt[i][j];
						else
							outputElt += inputElt[i][j];
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					}
					else {
						if (isNAN(inputElt[j][i]))
							continue;
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						if (isNAN(outputElt))
							outputElt = inputElt[j][i];
						else
							outputElt += inputElt[j][i];
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					}
				}
			}

			_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 _table1RelatedDim;

	int _minIndex1;

	int _maxIndex1;

	int _minIndex2;

	int _maxIndex2;
};


} /* namespace SumIntoTableIndexes */
} /* namespace Parameters */
} /* namespace AMDA */
#endif /* SUMINTOTABLEINDEXES_HH_ */