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https://github.com/OPM/ResInsight.git
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Kristian Bendiksen
394bc6c3df
Replace asserts with early-return guards so zero or negative weights are silently skipped instead of crashing. Add unit tests for zero-weight and zero-value edge cases in all three calculator classes. Fixes #12489.
70 lines
2.6 KiB
C++
70 lines
2.6 KiB
C++
/////////////////////////////////////////////////////////////////////////////////
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//
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// Copyright (C) 2018- Equinor ASA
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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 "RiaWeightedHarmonicMeanCalculator.h"
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#include <cmath>
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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RiaWeightedHarmonicMeanCalculator::RiaWeightedHarmonicMeanCalculator()
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: m_aggregatedWeightedValue( 0.0 )
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, m_aggregatedWeight( 0.0 )
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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 RiaWeightedHarmonicMeanCalculator::addValueAndWeight( double value, double weight )
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{
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if ( weight <= 0.0 || std::abs( value ) < 1.0e-12 ) return;
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m_aggregatedWeightedValue += weight / value;
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m_aggregatedWeight += weight;
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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double RiaWeightedHarmonicMeanCalculator::weightedMean() const
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{
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if ( validAggregatedWeight() )
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{
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return m_aggregatedWeight / m_aggregatedWeightedValue;
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}
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return 0.0;
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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double RiaWeightedHarmonicMeanCalculator::aggregatedWeight() const
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{
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return m_aggregatedWeight;
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}
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//--------------------------------------------------------------------------------------------------
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///
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//--------------------------------------------------------------------------------------------------
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bool RiaWeightedHarmonicMeanCalculator::validAggregatedWeight() const
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{
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return m_aggregatedWeight > 1.0e-12;
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}
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