#include "gtest/gtest.h" #include "RiaWeightedHarmonicMeanCalculator.h" #include #include //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- TEST( RiaWeightedHarmonicMeanCalculator, BasicUsage ) { { RiaWeightedHarmonicMeanCalculator calc; EXPECT_DOUBLE_EQ( 0.0, calc.aggregatedWeight() ); EXPECT_FALSE( calc.validAggregatedWeight() ); } { RiaWeightedHarmonicMeanCalculator calc; std::vector values{ 1, 4, 4 }; std::vector weights{ 1, 1, 1 }; for ( size_t i = 0; i < values.size(); i++ ) { calc.addValueAndWeight( values[i], weights[i] ); } double expectedValue = 2.0; EXPECT_DOUBLE_EQ( 3.0, calc.aggregatedWeight() ); EXPECT_NEAR( expectedValue, calc.weightedMean(), 1e-10 ); } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- TEST( RiaWeightedHarmonicMeanCalculator, WeightedValues ) { { RiaWeightedHarmonicMeanCalculator calc; std::vector values{ 10, 5, 4, 3 }; std::vector weights{ 10, 5, 4, 3 }; for ( size_t i = 0; i < values.size(); i++ ) { calc.addValueAndWeight( values[i], weights[i] ); } double sumWeights = std::accumulate( weights.begin(), weights.end(), 0.0 ); EXPECT_DOUBLE_EQ( sumWeights, calc.aggregatedWeight() ); EXPECT_NEAR( sumWeights / weights.size(), calc.weightedMean(), 1e-8 ); } { RiaWeightedHarmonicMeanCalculator calc; std::vector values{ 2.0, 3.0, 1.0, 4.0 }; std::vector weights{ 1.0, 2.0, 7.0, 3.0 }; for ( size_t i = 0; i < values.size(); i++ ) { calc.addValueAndWeight( values[i], weights[i] ); } double sumWeights = std::accumulate( weights.begin(), weights.end(), 0.0 ); double aggregatedWeightAndValues = 1.0 / 2.0 + 2.0 / 3.0 + 7.0 / 1.0 + 3.0 / 4.0; double expectedValue = sumWeights / aggregatedWeightAndValues; EXPECT_DOUBLE_EQ( sumWeights, calc.aggregatedWeight() ); EXPECT_NEAR( expectedValue, calc.weightedMean(), 1.0e-8 ); } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- TEST( RiaWeightedHarmonicMeanCalculator, ZeroWeight ) { { // Zero weight only - no valid data, no crash RiaWeightedHarmonicMeanCalculator calc; calc.addValueAndWeight( 5.0, 0.0 ); EXPECT_FALSE( calc.validAggregatedWeight() ); EXPECT_DOUBLE_EQ( 0.0, calc.weightedMean() ); } { // Zero weight mixed with valid data - zero weight is ignored RiaWeightedHarmonicMeanCalculator calc; calc.addValueAndWeight( 100.0, 0.0 ); calc.addValueAndWeight( 1.0, 1.0 ); calc.addValueAndWeight( 4.0, 1.0 ); calc.addValueAndWeight( 4.0, 1.0 ); calc.addValueAndWeight( 200.0, 0.0 ); EXPECT_DOUBLE_EQ( 3.0, calc.aggregatedWeight() ); EXPECT_NEAR( 2.0, calc.weightedMean(), 1e-10 ); } } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- TEST( RiaWeightedHarmonicMeanCalculator, ZeroValue ) { // Zero value is skipped (would cause division by zero) RiaWeightedHarmonicMeanCalculator calc; calc.addValueAndWeight( 0.0, 1.0 ); calc.addValueAndWeight( 1.0, 1.0 ); calc.addValueAndWeight( 4.0, 1.0 ); calc.addValueAndWeight( 4.0, 1.0 ); EXPECT_DOUBLE_EQ( 3.0, calc.aggregatedWeight() ); EXPECT_NEAR( 2.0, calc.weightedMean(), 1e-10 ); } //-------------------------------------------------------------------------------------------------- /// //-------------------------------------------------------------------------------------------------- TEST( RiaWeightedHarmonicMeanCalculator, NoValidData ) { // No valid data added - weightedMean returns 0.0 without asserting RiaWeightedHarmonicMeanCalculator calc; EXPECT_FALSE( calc.validAggregatedWeight() ); EXPECT_DOUBLE_EQ( 0.0, calc.weightedMean() ); }