protected override void Context()
{
base.Context();
_initialValuesData = createEmptyInitialValuesData();
sut = new PopulationDataSplitter(_populationData, _agingData, _initialValuesData, _numberOfCores);
}
protected override void Context()
{
base.Context();
_initialValuesData = createEmptyInitialValuesData();
sut = new PopulationDataSplitter(_numberOfCores, _populationData, _agingData, _initialValuesData);
_variableParameters = _simModelManagerForSpecs.SetVariableParameters(_simModelSimulation, sut.ParameterPathsToBeVaried());
_variableSpecies = _simModelManagerForSpecs.SetVariableSpecies(_simModelSimulation, sut.InitialValuesPathsToBeVaried());
}
public string[] SplitPopulation(string populationFile, int numberOfCores, string outputFolder, string outputFileName)
{
var population = ImportPopulation(populationFile);
var populationData = PopulationTableFrom(population);
var dataSplitter = new PopulationDataSplitter(numberOfCores, populationData);
DirectoryHelper.CreateDirectory(outputFolder);
var outputFiles = new List<string>();
for (int i = 0; i < numberOfCores; i++)
{
var outputFile = Path.Combine(outputFolder, $"{outputFileName}_{i + 1}{Constants.Filter.CSV_EXTENSION}");
var rowIndices = dataSplitter.GetRowIndices(i).ToList();
//This is potentially empty if the number of individuals in the population is less than the number of cores provided
if(!rowIndices.Any())
continue;
outputFiles.Add(outputFile);
exportSplitPopulation(populationData, rowIndices, outputFile);
}
return outputFiles.ToArray();
}
