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https://github.com/OPM/ResInsight.git
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f8c5cf389f
* Set column width to 140 * Use c++20 * Remove redundant virtual
173 lines
6.4 KiB
C++
173 lines
6.4 KiB
C++
/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) 2015- Statoil ASA
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// Copyright (C) 2015- 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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#include "RigFemNativeStatCalc.h"
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#include "RigFemPartResultsCollection.h"
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#include "RigFemScalarResultFrames.h"
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#include "RigStatisticsMath.h"
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#include <cmath>
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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RigFemNativeStatCalc::RigFemNativeStatCalc( RigFemPartResultsCollection* femResultCollection, const RigFemResultAddress& resVarAddr )
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: m_resVarAddr( resVarAddr )
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{
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m_resultsData = femResultCollection;
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigFemNativeStatCalc::minMaxCellScalarValues( size_t timeStepIndex, double& min, double& max )
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{
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for ( int pIdx = 0; pIdx < m_resultsData->partCount(); ++pIdx )
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{
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auto frames = m_resultsData->findOrLoadScalarResult( pIdx, m_resVarAddr );
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auto [stepIdx, frameIdx] = m_resultsData->stepListIndexToTimeStepAndDataFrameIndex( timeStepIndex );
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const std::vector<float>& values = frames->frameData( stepIdx, frameIdx );
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size_t i;
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for ( i = 0; i < values.size(); i++ )
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{
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if ( values[i] == HUGE_VAL ) // TODO
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{
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continue;
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}
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if ( values[i] < min )
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{
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min = values[i];
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}
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if ( values[i] > max )
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{
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max = values[i];
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}
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}
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigFemNativeStatCalc::posNegClosestToZero( size_t timeStepIndex, double& pos, double& neg )
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{
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for ( int pIdx = 0; pIdx < m_resultsData->partCount(); ++pIdx )
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{
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auto frames = m_resultsData->findOrLoadScalarResult( pIdx, m_resVarAddr );
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auto [stepIdx, frameIdx] = m_resultsData->stepListIndexToTimeStepAndDataFrameIndex( timeStepIndex );
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const std::vector<float>& values = frames->frameData( stepIdx, frameIdx );
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for ( size_t i = 0; i < values.size(); i++ )
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{
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if ( values[i] == HUGE_VAL )
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{
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continue;
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}
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if ( values[i] < pos && values[i] > 0 )
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{
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pos = values[i];
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}
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if ( values[i] > neg && values[i] < 0 )
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{
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neg = values[i];
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}
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}
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigFemNativeStatCalc::valueSumAndSampleCount( size_t timeStepIndex, double& valueSum, size_t& sampleCount )
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{
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int partCount = m_resultsData->partCount();
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for ( int pIdx = 0; pIdx < partCount; ++pIdx )
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{
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auto frames = m_resultsData->findOrLoadScalarResult( pIdx, m_resVarAddr );
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auto [stepIdx, frameIdx] = m_resultsData->stepListIndexToTimeStepAndDataFrameIndex( timeStepIndex );
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const std::vector<float>& values = frames->frameData( stepIdx, frameIdx );
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size_t undefValueCount = 0;
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for ( size_t cIdx = 0; cIdx < values.size(); ++cIdx )
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{
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double value = values[cIdx];
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if ( value == HUGE_VAL || value != value )
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{
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++undefValueCount;
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continue;
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}
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valueSum += value;
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}
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sampleCount += values.size();
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sampleCount -= undefValueCount;
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigFemNativeStatCalc::addDataToHistogramCalculator( size_t timeStepIndex, RigHistogramCalculator& histogramCalculator )
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{
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int partCount = m_resultsData->partCount();
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for ( int pIdx = 0; pIdx < partCount; ++pIdx )
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{
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auto frames = m_resultsData->findOrLoadScalarResult( pIdx, m_resVarAddr );
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auto [stepIdx, frameIdx] = m_resultsData->stepListIndexToTimeStepAndDataFrameIndex( timeStepIndex );
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const std::vector<float>& values = frames->frameData( stepIdx, frameIdx );
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histogramCalculator.addData( values );
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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void RigFemNativeStatCalc::uniqueValues( size_t timeStepIndex, std::set<int>& values )
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{
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for ( int pIdx = 0; pIdx < m_resultsData->partCount(); ++pIdx )
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{
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auto frames = m_resultsData->findOrLoadScalarResult( pIdx, m_resVarAddr );
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auto [stepIdx, frameIdx] = m_resultsData->stepListIndexToTimeStepAndDataFrameIndex( timeStepIndex );
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const std::vector<float>& floatValues = frames->frameData( stepIdx, frameIdx );
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for ( size_t i = 0; i < floatValues.size(); i++ )
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{
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values.insert( static_cast<int>( std::floor( floatValues[i] ) ) );
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}
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}
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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size_t RigFemNativeStatCalc::timeStepCount()
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{
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return m_resultsData->totalSteps();
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}
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