public void TestCalculations_AllNegativeIntegers_Even()
{
CalculationHelper calc = new CalculationHelper(generateTestData_AllNegativeIntegers_Even());
CalculationDTO dto = calc.Calculate();
Assert.IsNotNull(dto.mean);
Assert.IsNotNull(dto.median);
Assert.IsNotNull(dto.mode);
Assert.AreEqual(-34.333333333333336, dto.mean);
Assert.AreEqual(-28.5, dto.median);
List <double> testMode = new List <double>()
{
-12
};
for (var i = 0; i < dto.mode.Count; i++)
{
Assert.AreEqual(testMode[i], dto.mode[i]);
}
}
public void TestCalculations_MixedBag_Odd()
{
CalculationHelper calc = new CalculationHelper(generateTestData_MixedBag_Odd());
CalculationDTO dto = calc.Calculate();
Assert.IsNotNull(dto.mean);
Assert.IsNotNull(dto.median);
Assert.IsNotNull(dto.mode);
Assert.AreEqual(164122.13748818, dto.mean);
Assert.AreEqual(0.0328409, dto.median);
List <double> testMode = new List <double>()
{
-19304.273, 838984, 0.0328409, -0.0204, 930.948
};
for (var i = 0; i < dto.mode.Count; i++)
{
Assert.AreEqual(testMode[i], dto.mode[i]);
}
}
public void TestCalculations_AllNegativeDecimals_Even()
{
CalculationHelper calc = new CalculationHelper(generateTestData_AllNegativeDecimals_Even());
CalculationDTO dto = calc.Calculate();
Assert.IsNotNull(dto.mean);
Assert.IsNotNull(dto.median);
Assert.IsNotNull(dto.mode);
Assert.AreEqual(-0.3862486666666667, dto.mean);
Assert.AreEqual(-0.35988000000000003, dto.median);
List <double> testMode = new List <double>()
{
-0.234, -0.018932, -0.8394, -0.7101, -0.0293, -0.48576
};
for (var i = 0; i < dto.mode.Count; i++)
{
Assert.AreEqual(testMode[i], dto.mode[i]);
}
}
public void TestCalculations_AllPositiveDecimals_Even()
{
CalculationHelper calc = new CalculationHelper(generateTestData_AllPositiveDecimals_Even());
CalculationDTO dto = calc.Calculate();
Assert.IsNotNull(dto.mean);
Assert.IsNotNull(dto.median);
Assert.IsNotNull(dto.mode);
Assert.AreEqual(0.5355599999999999, dto.mean);
Assert.AreEqual(0.59793, dto.median);
List <double> testMode = new List <double>()
{
0.234, 0.7101
};
for (var i = 0; i < dto.mode.Count; i++)
{
Assert.AreEqual(testMode[i], dto.mode[i]);
}
}
public CalculationDataFlow(ILogger <CalculationDataFlow> logger, IResultProducer resultProducer)
{
_logger = logger;
_resultProducer = resultProducer;
_deserializeBlock = new TransformBlock <byte[], CalculationPack>(msg => MessagePackSerializer.Deserialize <CalculationPack>(msg));
_calculationBlock = new TransformBlock <CalculationPack, CalculationPack>(pack =>
{
Parallel.ForEach(pack.Data, unit =>
{
unit.Equation.Result = CalculationHelper.Calculate(unit.Equation.EqMethod, unit.Equation.Values);
});
return(pack);
});
_publishBlock = new ActionBlock <CalculationPack>(pack =>
{
//TODO publish in kafka topic
//_logger.LogInformation(pack.Id.ToString());
foreach (var eq in pack.Data)
{
_logger.LogInformation($"PackId: {eq.CalcPackId} EqId: {eq.Equation.Id} Result:{eq.Equation.Result}");
}
_resultProducer.ProduceResultAsync(pack);
});
var linkOptions = new DataflowLinkOptions()
{
PropagateCompletion = true
};
_deserializeBlock.LinkTo(_calculationBlock, linkOptions);
_calculationBlock.LinkTo(_publishBlock, linkOptions);
}
public void TestCalculations_MixedBag_Even()
{
CalculationHelper calc = new CalculationHelper(generateTestData_MixedBag_Even());
CalculationDTO dto = calc.Calculate();
Assert.IsNotNull(dto.mean);
Assert.IsNotNull(dto.median);
Assert.IsNotNull(dto.mode);
Assert.AreEqual(104594.44790681665, dto.mean);
Assert.AreEqual(0.006220449999999999, dto.median);
List <double> testMode = new List <double>()
{
-19304.273, 838984, 0.0328409, -0.0204, 930.948, -193044
};
for (var i = 0; i < dto.mode.Count; i++)
{
Assert.AreEqual(testMode[i], dto.mode[i]);
}
}