private bool SetStandardDeviationStochast(StandardDeviationDefinition definition)
{
return(ConfigurationImportHelper.TrySetStandardDeviationStochast(
definition.StochastName,
calculation.Name,
calculation.InputParameters,
definition.Configuration,
definition.Getter,
definition.Setter,
Log));
}
/// <summary>
/// Assigns the critical flow rate.
/// </summary>
/// <param name="calculationConfiguration">The calculation read from the imported file.</param>
/// <param name="calculation">The calculation to configure.</param>
/// <returns><c>true</c> if reading all required critical flow rate parameters was successful,
/// <c>false</c> otherwise.</returns>
private bool TrySetCriticalFlowRate(GrassCoverErosionInwardsCalculationConfiguration calculationConfiguration,
GrassCoverErosionInwardsCalculation calculation)
{
return(ConfigurationImportHelper.TrySetStandardDeviationStochast(
GrassCoverErosionInwardsCalculationConfigurationSchemaIdentifiers.CriticalFlowRateStochastName,
calculation.Name,
calculation.InputParameters,
calculationConfiguration.CriticalFlowRate,
i => i.CriticalFlowRate,
(i, s) => i.CriticalFlowRate = s,
Log));
}
private bool TrySetPhreaticLevelExit(PipingCalculationConfiguration calculationConfiguration,
IPipingCalculationScenario <PipingInput> pipingCalculation)
{
return(ConfigurationImportHelper.TrySetStandardDeviationStochast(
PipingCalculationConfigurationSchemaIdentifiers.PhreaticLevelExitStochastName,
pipingCalculation.Name,
pipingCalculation.InputParameters,
calculationConfiguration.PhreaticLevelExit,
i => i.PhreaticLevelExit,
(i, s) => i.PhreaticLevelExit = s,
Log));
}
public void TrySetStandardDeviationStochast_ValidStochastConfiguration_ReturnsTrueParametersSet(bool setMean, bool setStandardDeviation)
{
// Setup
var mocks = new MockRepository();
var log = mocks.StrictMock <ILog>();
mocks.ReplayAll();
var configuration = new StochastConfiguration();
var input = new TestInputWithStochasts();
var random = new Random(21);
double mean = random.NextDouble();
double standardDeviation = random.NextDouble();
if (setMean)
{
configuration.Mean = mean;
}
if (setStandardDeviation)
{
configuration.StandardDeviation = standardDeviation;
}
// Call
bool valid = ConfigurationImportHelper.TrySetStandardDeviationStochast(
"some stochast name",
"some calculation name",
input,
configuration, i => i.Distribution,
(i, s) => i.Distribution = s,
log);
// Assert
Assert.IsTrue(valid);
var defaultLogNormal = new LogNormalDistribution();
Assert.AreEqual(
setMean ? mean : defaultLogNormal.Mean,
input.Distribution.Mean,
input.Distribution.Mean.GetAccuracy());
Assert.AreEqual(
setStandardDeviation ? standardDeviation : defaultLogNormal.StandardDeviation,
input.Distribution.StandardDeviation,
input.Distribution.StandardDeviation.GetAccuracy());
mocks.VerifyAll();
}
public void TrySetStandardDeviationStochast_StochastConfigurationWithStandardDeviation_LogsErrorReturnsFalse()
{
// Setup
const string stochastName = "some stochast name";
const string calculationName = "some calculation name";
const string expectedFormat = "{0} Berekening '{1}' is overgeslagen.";
string expectedError = $"Indien voor parameter '{stochastName}' de spreiding wordt opgegeven, moet dit door middel van een standaardafwijking. " +
$"Voor berekening '{calculationName}' is een variatiecoëfficiënt gevonden.";
var mocks = new MockRepository();
var log = mocks.StrictMock <ILog>();
log.Expect(l => l.ErrorFormat(expectedFormat, expectedError, calculationName));
mocks.ReplayAll();
var configuration = new StochastConfiguration
{
VariationCoefficient = new Random(21).NextDouble()
};
var input = new TestInputWithStochasts();
// Call
bool valid = ConfigurationImportHelper.TrySetStandardDeviationStochast(
stochastName,
calculationName,
input, configuration,
i => i.Distribution,
(i, s) => i.Distribution = s,
log);
// Assert
Assert.IsFalse(valid);
mocks.VerifyAll();
}
