public static string[] SerializeDistributions(Arr <IDistribution> distributions)
{
RequireTrue(_distributionTypes.ForAll(
dt => distributions.Exists(ds => ds.DistributionType == dt)
));
return(distributions.Map(ds => ds.ToString()).ToArray());
}
internal static string[] SerializeErrorModels(Arr <IErrorModel> errorModels)
{
RequireTrue(_errorModelTypes.ForAll(
dt => errorModels.Exists(ds => ds.ErrorModelType == dt)
));
return(errorModels.Map(ds => ds.ToString() !).ToArray());
}
private static OutputGroup Create(
string name,
SortedDictionary <string, List <double> > parameterValues,
Arr <string> serieInputHashes,
SimInput defaultInput
)
{
var includeDefaultValues = serieInputHashes.Exists(h => h == defaultInput.Hash);
var ranges = parameterValues.Keys
.OrderBy(k => k)
.Select(k =>
{
var defaultParameter = defaultInput.SimParameters.GetParameter(k);
var list = parameterValues[k];
if (includeDefaultValues && !IsNaN(defaultParameter.Scalar))
{
list.Add(defaultParameter.Scalar);
}
list.Sort();
var values = list.Distinct().ToArray();
var rangeDescription = k + "=";
var unit = defaultParameter.Unit ?? string.Empty;
if (values.Length == 1)
{
rangeDescription += $"{values[0]:G4}{unit}";
}
else if (values.Length < 6)
{
rangeDescription += Join(",", values.Select(v => $"{v:G4}{unit}"));
}
else
{
var min = values.Min();
var max = values.Max();
rangeDescription += $"{min:G4}{unit}->{max:G4}{unit}";
}
var rAssignmentRhs = values.Length > 1
? $"c({Join(", ", values.Select(v => v.ToString(InvariantCulture)))})"
: values[0].ToString(InvariantCulture);
var rangeParameter = defaultParameter.With(rAssignmentRhs);
return(Description: rangeDescription, Parameter: rangeParameter);
})
.ToArray();
var description = Join(", ", ranges.Select(r => r.Description));
var createdOn = DateTime.Now;
var inputAssignments = ranges.Select(r => r.Parameter).ToArr();
return(new OutputGroup(name, description, createdOn, inputAssignments, serieInputHashes));
}
internal OutputState(
string name,
ErrorModelType errorModelType,
Arr <IErrorModel> errorModels,
bool isSelected
)
{
RequireNotNullEmptyWhiteSpace(name);
RequireFalse(errorModelType == ErrorModelType.None);
RequireTrue(errorModels.Exists(d => d.ErrorModelType == errorModelType));
Name = name;
ErrorModelType = errorModelType;
ErrorModels = errorModels;
IsSelected = isSelected;
}
public ParameterState(
string name,
DistributionType distributionType,
Arr <IDistribution> distributions,
bool isSelected
)
{
RequireNotNullEmptyWhiteSpace(name);
RequireFalse(distributionType == DistributionType.None);
RequireTrue(distributions.Exists(d => d.DistributionType == distributionType));
Name = name;
DistributionType = distributionType;
Distributions = distributions;
IsSelected = isSelected;
}
public static bool ContainsState(this Arr <SimObservationsSharedState> observationsSharedStates, string reference) => observationsSharedStates.Exists(oss => oss.Reference == reference);
public static bool ContainsState(this Arr <SimElementSharedState> elementSharedStates, string name) => elementSharedStates.Exists(ess => ess.Name == name);
public static bool ContainsState(this Arr <SimParameterSharedState> parameterSharedStates, string name) => parameterSharedStates.Exists(pss => pss.Name == name);
public static bool ContainsParameter(this Arr <SimParameter> parameters, string name) => parameters.Exists(p => p.Name == name);
public static bool ContainsElement(this Arr <SimValue> values, string name) => values.Exists(v => v.SimElements.Exists(e => e.Name == name));
public static bool ContainsEvidenceSource(this Arr <SimEvidenceSource> evidenceSources, string refHash) => evidenceSources.Exists(es => es.RefHash == refHash);
public static bool ContainsObservationsSet(this Arr <SimObservationsSet> observationsSets, string subject) => observationsSets.Exists(os => os.Subject == subject);
public static bool ContainsObservations(this Arr <SimObservations> arr, SimObservations observations) => arr.Exists(o => o.EvidenceSourceID == observations.EvidenceSourceID && o.ID == observations.ID);
