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