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src/ExternLib/StatisticProcesses/MinMaxMeanStatistic.hh 12.8 KB
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fbe3c2bb   Benjamin Renard   First commit 
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/**
 * MinMaxMeanStatistic.hh
 *
 *  Created on: 04 nov. 2014
 *      Author: AKKA
 */

#ifndef MINMAXMEANSTATISTIC_HH_
#define MINMAXMEANSTATISTIC_HH_

#include "ParamData.hh"
#include "DataTypeMath.hh"
#include "VisitorOfParamData.hh"
#include "StatisticData.hh"
#include "StatisticOperation.hh"
#include "StatisticProcess.hh"

#include "TimeInterval.hh"

namespace AMDA {
namespace Statistic {
namespace MinMaxMean {

using namespace AMDA::Parameters;

typedef enum
{
	FT_MIN,
	FT_MAX,
	FT_MEAN
} FUNC_TYPE;


template<typename TParamData, typename TResultData>
class MinMaxMeanStatisticOperation : public StatisticOperation<TResultData>
{
public:
	/**
	 * @brief  Element type of paramData
	 */
	typedef typename TParamData::ElementType ElementType;

	MinMaxMeanStatisticOperation(StatisticProcess& process,
			TimeIntervalListSPtr pTimeIntervalList, TParamData &param, FUNC_TYPE funcType) :
				StatisticOperation<TResultData>(process),
				_paramInput(param), _timeIntervalList(pTimeIntervalList),
				_currentTimeInterval(_timeIntervalList->begin()),
				_funcType(funcType), _dimDef("unknown")
	{
		resetData(StatisticOperation<TResultData>::_resultData);
	}

	virtual ~MinMaxMeanStatisticOperation(void)
	{
	}

	virtual  void  compute(ParamDataIndexInfo &pParamDataIndexInfo)
	{
		for (unsigned int index = pParamDataIndexInfo._startIndex;
				index < pParamDataIndexInfo._startIndex
					+ pParamDataIndexInfo._nbDataToProcess;
				index++)
		{
			_val = _paramInput.get(index);
			switch (_funcType)
			{
			case FT_MIN :
				computeMin(_val);
				break;
			case FT_MAX :
				computeMax(_val);
				break;
			case FT_MEAN :
				addForMean(_val);
				break;
			}
		}
	}

	virtual void finalizeCompute(void)
	{
		if (_funcType == FT_MEAN)
			finalizeMeanResult(StatisticOperation<TResultData>::_resultData);
	}

	virtual void reset() {
		StatisticOperation<TResultData>::reset();
		resetData(StatisticOperation<TResultData>::_resultData);
	}

	/**
	 * @brief Get the result dimensiond efinition.
	 */
	virtual std::string getResultDimDefinition(bool /* forCoverage */)
	{
		return _dimDef.str();
	}

private:
	template<typename Type>
	void resetData(Type &a)
	{
		a._result << NotANumber();
		a._nbDataProcessed = 0;
	}

	template<typename Type>
	void resetData(std::vector<Type> &a)
	{
		a.clear();
	}

	template<typename Type>
	void computeMin(Type &a)
	{
		_dimDef.str("1");

		if (isNAN(a))
			return;

		if (isNAN(StatisticOperation<TResultData>::_resultData._result))
			StatisticOperation<TResultData>::_resultData._result = a;
		else if (a < StatisticOperation<TResultData>::_resultData._result)
			StatisticOperation<TResultData>::_resultData._result = a;
		++StatisticOperation<TResultData>::_resultData._nbDataProcessed;
	}

	template<typename Type>
	void computeMin(std::vector<Type> &a)
	{
		if (StatisticOperation<TResultData>::_resultData.empty())
		{
			_dimDef.str("");
			_dimDef << a.size();
			for (unsigned int i = 0; i < a.size(); ++i)
			{
				StatisticDataScalar<Type> data;
				resetData(data);
				data._result = a[i];
				if (!isNAN(a))
					++data._nbDataProcessed;
				StatisticOperation<TResultData>::_resultData.push_back(data);
			}
			return;
		}

		for (unsigned int i = 0; i < StatisticOperation<TResultData>::_resultData.size(); ++i)
		{
			if (isNAN(a[i]))
				continue;

			if (isNAN(StatisticOperation<TResultData>::_resultData[i]._result))
				StatisticOperation<TResultData>::_resultData[i]._result = a[i];
			else if (a[i] < StatisticOperation<TResultData>::_resultData[i]._result)
				StatisticOperation<TResultData>::_resultData[i]._result = a[i];
			++StatisticOperation<TResultData>::_resultData[i]._nbDataProcessed;
		}
	}

	template<typename Type>
	void computeMax(Type &a)
	{
		_dimDef.str("1");

		if (isNAN(a))
			return;

		if (isNAN(StatisticOperation<TResultData>::_resultData._result))
			StatisticOperation<TResultData>::_resultData._result = a;
		else if (a > StatisticOperation<TResultData>::_resultData._result)
			StatisticOperation<TResultData>::_resultData._result = a;
		++StatisticOperation<TResultData>::_resultData._nbDataProcessed;
	}

	template<typename Type>
	void computeMax(std::vector<Type> &a)
	{
		if (StatisticOperation<TResultData>::_resultData.empty())
		{
			_dimDef.str("");
			_dimDef << a.size();

			for (unsigned int i = 0; i < a.size(); ++i)
			{
				StatisticDataScalar<Type> data;
				resetData(data);
				data._result = a[i];
				if (!isNAN(a))
					++data._nbDataProcessed;
				StatisticOperation<TResultData>::_resultData.push_back(data);
			}
			return;
		}

		for (unsigned int i = 0; i < StatisticOperation<TResultData>::_resultData.size(); ++i)
		{
			if (isNAN(a[i]))
				continue;

			if (isNAN(StatisticOperation<TResultData>::_resultData[i]._result))
				StatisticOperation<TResultData>::_resultData[i]._result = a[i];
			else if (a[i] > StatisticOperation<TResultData>::_resultData[i]._result)
				StatisticOperation<TResultData>::_resultData[i]._result = a[i];
			++StatisticOperation<TResultData>::_resultData[i]._nbDataProcessed;
		}
	}

	template<typename Type>
	void addForMean(Type &a)
	{
		_dimDef.str("1");

		if (isNAN(a))
			return;

		if (isNAN(StatisticOperation<TResultData>::_resultData._result))
			StatisticOperation<TResultData>::_resultData._result = a;
		else
			StatisticOperation<TResultData>::_resultData._result = StatisticOperation<TResultData>::_resultData._result + a;
		++StatisticOperation<TResultData>::_resultData._nbDataProcessed;
	}

	template<typename Type>
	void addForMean(std::vector<Type> &a)
	{
		if (StatisticOperation<TResultData>::_resultData.empty())
		{
			_dimDef.str("");
			_dimDef << a.size();

			for (unsigned int i = 0; i < a.size(); ++i)
			{
				StatisticDataScalar<Type> data;
				resetData(data);
				data._result = a[i];
				if (!isNAN(a))
					++data._nbDataProcessed;
				StatisticOperation<TResultData>::_resultData.push_back(data);
			}
			return;
		}

		for (unsigned int i = 0; i < StatisticOperation<TResultData>::_resultData.size(); ++i)
		{
			if (isNAN(a[i]))
				continue;

			if (isNAN(StatisticOperation<TResultData>::_resultData[i]._result))
				StatisticOperation<TResultData>::_resultData[i]._result = a[i];
			else
				StatisticOperation<TResultData>::_resultData[i]._result = StatisticOperation<TResultData>::_resultData[i]._result + a[i];
			++StatisticOperation<TResultData>::_resultData[i]._nbDataProcessed;
		}
	}

	template<typename Type>
	void finalizeMeanResult(Type& a)
	{
		if (a._nbDataProcessed > 0)
			if (!isNAN(a._result))
				a._result /= a._nbDataProcessed;
	}

	template<typename Type>
	void finalizeMeanResult(std::vector<Type>& a)
	{
		for (unsigned int i = 0; i < a.size(); ++i)
			finalizeMeanResult(a[i]);
	}

	/**
	 * @brief real ParamData Input
	 */
	TParamData& _paramInput;

	TimeIntervalListSPtr _timeIntervalList;

	TimeIntervalList::iterator _currentTimeInterval;

	ElementType _val;

	FUNC_TYPE _funcType;

	std::stringstream _dimDef;
};


class CreateMinMaxMeanStatistic: public VisitorOfParamData {
public:
	/**
	 * @brief constructor
	 */
	CreateMinMaxMeanStatistic(StatisticProcess& pProcess,
			TimeIntervalListSPtr pTimeIntervalList,
			ParamData &paramData, FUNC_TYPE type) :
			_process(pProcess), _timeIntervalList(pTimeIntervalList),
			_paramData(paramData), _operation(NULL), _type(type)
	{
		_paramData.accept(*this);
	}

	StatisticOperationBase* getStatisticOperation(void)
	{
		return _operation;
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataScalaireShort *)
	 */
	virtual void visit(ParamDataScalaireShort *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataScalaireShort,StatisticDataScalar<short>>(_process,
		_timeIntervalList, dynamic_cast<ParamDataScalaireShort &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataScalaireFloat *)
	 */
	virtual void visit(ParamDataScalaireFloat *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataScalaireFloat,StatisticDataScalar<float>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataScalaireFloat &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataScalaireDouble *)
	 */
	virtual void visit(ParamDataScalaireDouble *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataScalaireDouble,StatisticDataScalar<double>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataScalaireDouble &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataScalaireLongDouble *)
	 */
	virtual void visit(ParamDataScalaireLongDouble *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataScalaireLongDouble,StatisticDataScalar<long double>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataScalaireLongDouble &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataScalaireInt *)
	 */
	virtual void visit(ParamDataScalaireInt *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataScalaireInt,StatisticDataScalar<int>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataScalaireInt &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataLogicalData *)
	 */
	virtual void visit(ParamDataLogicalData *)
	{
		BOOST_THROW_EXCEPTION(
				AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN)
				<< AMDA::ex_msg(
					"CreateStatistic operation not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab1DShort *)
	 */
	virtual void visit(ParamDataTab1DShort *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataTab1DShort,StatisticDataVector<short>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataTab1DShort &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab1DFloat *)
	 */
	virtual void visit(ParamDataTab1DFloat *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataTab1DFloat,StatisticDataVector<float>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataTab1DFloat &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab1DDouble *)
	 */
	virtual void visit(ParamDataTab1DDouble *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataTab1DDouble,StatisticDataVector<double>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataTab1DDouble &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab1DLongDouble *)
	 */
	virtual void visit(ParamDataTab1DLongDouble *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataTab1DLongDouble,StatisticDataVector<long double>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataTab1DLongDouble &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab1DInt *)
	 */
	virtual void visit(ParamDataTab1DInt *)
	{
		_operation = new MinMaxMeanStatisticOperation<ParamDataTab1DInt,StatisticDataVector<int>>(_process,
			_timeIntervalList, dynamic_cast<ParamDataTab1DInt &>(_paramData), _type);
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab1DLogicalData *)
	 */
	virtual void visit(ParamDataTab1DLogicalData *)
	{
		BOOST_THROW_EXCEPTION(
				AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN)
				<< AMDA::ex_msg(
					"CreateStatistic operation not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab2DShort *)
	 */
	virtual void visit(ParamDataTab2DShort *) {
		BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("ParamDataTab2DShort data not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab2DFloat *)
	 */
	virtual void visit(ParamDataTab2DFloat *) {
		BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("ParamDataTab2DFloat data not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab2DDouble *)
	 */
	virtual void visit(ParamDataTab2DDouble *) {
		BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("ParamDataTab2DDouble data not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab2DLongDouble *)
	 */
	virtual void visit(ParamDataTab2DLongDouble *) {
		BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("ParamDataTab2DLongDouble data not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab2DInt *)
	 */
	virtual void visit(ParamDataTab2DInt *) {
		BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("ParamDataTab2DInt data not supported"));
	}

	/**
	 * @overload VisitorOfParamData::visit(ParamDataTab2DLogicalData *)
	 */
	virtual void visit(ParamDataTab2DLogicalData *) {
		BOOST_THROW_EXCEPTION(AMDA::AMDA_exception() << AMDA::errno_code(AMDA_ERROR_UNKNOWN) << AMDA::ex_msg("ParamDataTab2DLogicalData data not supported"));
	}

private:
	StatisticProcess& _process;

	TimeIntervalListSPtr& _timeIntervalList;

	ParamData &_paramData;

	StatisticOperationBase *_operation;

	FUNC_TYPE _type;
};

} /* namespace MinMaxMean */
} /* namespace Statistic */
} /* namespace AMDA */

#endif /* MINMAXMEANSTATISTIC_HH_ */