///////////////////////////////////////////////////////////////////////////////// // // 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. // ///////////////////////////////////////////////////////////////////////////////// #include "RigNativeStatCalc.h" #include "RigStatisticsMath.h" #include "RigCaseCellResultsData.h" #include "RigStatisticsMath.h" #include // Needed for HUGE_VAL on Linux //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- RigNativeStatCalc::RigNativeStatCalc(RigCaseCellResultsData* cellResultsData, size_t scalarResultIndex) : m_resultsData(cellResultsData), m_scalarResultIndex(scalarResultIndex) { } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- void RigNativeStatCalc::minMaxCellScalarValues(size_t timeStepIndex, double& min, double& max) { std::vector& values = m_resultsData->cellScalarResults(m_scalarResultIndex, timeStepIndex); size_t i; for (i = 0; i < values.size(); i++) { if (values[i] == HUGE_VAL) { continue; } if (values[i] < min) { min = values[i]; } if (values[i] > max) { max = values[i]; } } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- void RigNativeStatCalc::posNegClosestToZero(size_t timeStepIndex, double& pos, double& neg) { std::vector& values = m_resultsData->cellScalarResults(m_scalarResultIndex, timeStepIndex); size_t i; for (i = 0; i < values.size(); i++) { if (values[i] == HUGE_VAL) { continue; } if (values[i] < pos && values[i] > 0) { pos = values[i]; } if (values[i] > neg && values[i] < 0) { neg = values[i]; } } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- void RigNativeStatCalc::addDataToHistogramCalculator(RigHistogramCalculator& histogramCalculator) { for (size_t tIdx = 0; tIdx < m_resultsData->timeStepCount(m_scalarResultIndex); tIdx++) { std::vector& values = m_resultsData->cellScalarResults(m_scalarResultIndex, tIdx); histogramCalculator.addData(values); } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- void RigNativeStatCalc::valueSumAndSampleCount(double& valueSum, size_t& sampleCount) { for (size_t tIdx = 0; tIdx < m_resultsData->timeStepCount(m_scalarResultIndex); tIdx++) { std::vector& values = m_resultsData->cellScalarResults(m_scalarResultIndex, tIdx); size_t undefValueCount = 0; for (size_t cIdx = 0; cIdx < values.size(); ++cIdx) { double value = values[cIdx]; if (value == HUGE_VAL || value != value) { ++undefValueCount; continue; } valueSum += value; } sampleCount += values.size(); sampleCount -= undefValueCount; } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- size_t RigNativeStatCalc::timeStepCount() { return m_resultsData->timeStepCount(m_scalarResultIndex); }