///////////////////////////////////////////////////////////////////////////////// // // Copyright (C) Statoil ASA // Copyright (C) Ceetron Solutions AS // // ResInsight is free software: you can redistribute it and/or modify // it under the terms of the GNU General Public License as published by // the Free Software Foundation, either version 3 of the License, or // (at your option) any later version. // // ResInsight is distributed in the hope that it will be useful, but WITHOUT ANY // WARRANTY; without even the implied warranty of MERCHANTABILITY or // FITNESS FOR A PARTICULAR PURPOSE. // // See the GNU General Public License at // for more details. // ///////////////////////////////////////////////////////////////////////////////// #pragma once #include "RigStatisticsCalculator.h" #include "cvfObject.h" #include // Needed for HUGE_VAL on Linux #include //================================================================================================== /// //================================================================================================== class RigStatisticsDataCache : public cvf::Object { public: explicit RigStatisticsDataCache( RigStatisticsCalculator* statisticsCalculator ); void clearAllStatistics(); static size_t defaultNumBins(); void setNumBins( size_t numBins ); void minMaxCellScalarValues( double& min, double& max ); void minMaxCellScalarValues( size_t timeStepIndex, double& min, double& max ); void posNegClosestToZero( double& pos, double& neg ); void posNegClosestToZero( size_t timeStepIndex, double& pos, double& neg ); void p10p90CellScalarValues( double& p10, double& p90 ); void p10p90CellScalarValues( size_t timeStepIndex, double& p10, double& p90 ); void meanCellScalarValues( double& meanValue ); void meanCellScalarValues( size_t timeStepIndex, double& meanValue ); void sumCellScalarValues( double& sumValue ); void sumCellScalarValues( size_t timeStepIndex, double& sumValue ); const std::vector& cellScalarValuesHistogram(); const std::vector& cellScalarValuesHistogram( size_t timeStepIndex ); const std::vector& uniqueCellScalarValues(); const std::vector& uniqueCellScalarValues( size_t timeStepIndex ); void mobileVolumeWeightedMean( double& mean ); void mobileVolumeWeightedMean( size_t timeStepIndex, double& mean ); private: void computeHistogramStatisticsIfNeeded(); void computeHistogramStatisticsIfNeeded( size_t timeStepIndex ); void computeUniqueValuesIfNeeded(); void computeUniqueValuesIfNeeded( size_t timeStepIndex ); private: struct StatisticsValues { StatisticsValues() { m_minValue = HUGE_VAL; m_maxValue = -HUGE_VAL; m_isMaxMinCalculated = false; m_meanValue = HUGE_VAL; m_isMeanCalculated = false; m_posClosestToZero = HUGE_VAL; m_negClosestToZero = -HUGE_VAL; m_isClosestToZeroCalculated = false; m_p10 = HUGE_VAL; m_p90 = HUGE_VAL; m_isp10p90Calculated = false; m_valueSum = 0.0; m_isValueSumCalculated = false; m_volumeWeightedMean = HUGE_VAL; m_isVolumeWeightedMeanCalculated = false; } double m_minValue; double m_maxValue; bool m_isMaxMinCalculated; double m_meanValue; bool m_isMeanCalculated; double m_posClosestToZero; double m_negClosestToZero; bool m_isClosestToZeroCalculated; double m_p10; double m_p90; bool m_isp10p90Calculated; double m_valueSum; bool m_isValueSumCalculated; double m_volumeWeightedMean; bool m_isVolumeWeightedMeanCalculated; std::vector m_histogram; std::vector m_uniqueValues; }; StatisticsValues m_statsAllTimesteps; std::vector m_statsPrTs; cvf::ref m_statisticsCalculator; size_t m_numBins; };