public void CalculateGeometricMeanTest(double firstValue, double secondValue, double expected) { ITwoArgumentsCalculator calculator = new GeometricMean(); double result = calculator.Calculate(4, 4); Assert.AreEqual(4, result); }
public void CalculateTest(double firstValue, double secondValue, double expected) { var calculator = new GeometricMean(); var actualResult = calculator.Calculate(firstValue, secondValue); Assert.AreEqual(expected, actualResult); }
public void CalculationTest(double value, double value2, double answer) { var calculator = new GeometricMean(); double actual = calculator.calculate(value, value2); Assert.AreEqual(answer, actual, 0.001); }
public void Calcpr( double firstElement, double secondElement, double expected) { var calculator = new GeometricMean(); var actualResult = calculator.Calculate(firstElement, secondElement); Assert.AreEqual(expected, actualResult, 0.01); }
public void calculateMeans() { double sum = 0; double inverseSum = 0; double product = 1; int numberOfResults = 0; double arithmeticalSum = 0; double arithmeticalTotal = 0; foreach (BenchmarkStatisticsResult benchmarkStatisticsResult in this) { if (benchmarkStatisticsResult.Accuracy != double.NaN && benchmarkStatisticsResult.Accuracy > 0) { arithmeticalTotal += benchmarkStatisticsResult.NumberOfBranches; arithmeticalSum += benchmarkStatisticsResult.NumberOfCorrectPredictions; sum += benchmarkStatisticsResult.Accuracy; inverseSum += 1.0d / benchmarkStatisticsResult.Accuracy; product *= benchmarkStatisticsResult.Accuracy; numberOfResults++; } } if (numberOfResults != 0) { ArithmeticMean.Accuracy = sum / numberOfResults; GeometricMean.Accuracy = Math.Pow(product, 1.0d / numberOfResults); HarmonicMean.Accuracy = numberOfResults / inverseSum; } else { ArithmeticMean.Accuracy = 0; GeometricMean.Accuracy = 0; HarmonicMean.Accuracy = 0; } ArithmeticMean.NotifyPropertyChanged(StatisticsResult.PercentAccuracyPropertyChangedEventArgs); GeometricMean.NotifyPropertyChanged(StatisticsResult.PercentAccuracyPropertyChangedEventArgs); HarmonicMean.NotifyPropertyChanged(StatisticsResult.PercentAccuracyPropertyChangedEventArgs); }
public void NegativeGeometricMeanTest() { var calculator = new GeometricMean(); Assert.Throws <Exception>(() => calculator.Calculate(-1, 1)); }
/// <summary> /// SQL Server sends data over in chunks, not all at once /// we need to add the groups together /// </summary> /// <param name="Group"></param> public void Merge(GeometricMean Group) { this.ld.AddRange(Group.ld.ToArray()); }
public void Exception() { var calculator = new GeometricMean(); Assert.Throws <Exception>(() => calculator.Calculate(-10, 10)); }