/// <summary>
/// Performs the varaible flow modelling given the foundation IM and the vector representing the independent variable.
/// </summary>
/// <param name="IMf"></param>
/// <param name="independent"></param>
/// <returns></returns>
private static IncidenceMatrix VariableFlowModelling(IncidenceMatrix IMf, int[] independent)
{
IncidenceMatrix[] IMSet = AllWorkflows(IMf, independent);
int LeastModified = LibishScheduler.LeastModified(IMSet, IMf);
return(IMSet[LeastModified]);
// code for genetic algorithm
}
public static Workflow ScheduleWorkflow(string name, string description, List <Data> inputs, List <Data> outputs, List <WorkflowComponent> components, ReversalMode mode)
{
// Redirect to right scheduler method
if (mode == ReversalMode.Global)
{
return(ScheduleWorkflowGlobal(name, description, inputs, outputs, components, GlobalReversalMode.Global));
}
else if (mode == ReversalMode.Legacy)
{
return(LibishScheduler.ScheduleWorkflow(name, description, inputs, outputs, components));
}
List <WorkflowComponent> workflowComponents = components.GetAllComponents();
var allData = inputs.Concat(outputs).ToList();
// 0. Sanity checks, check array is not more than 1 output
NonReversibleSanityCheck(workflowComponents);
// 1. Find Model-Variable matching. Which variables are inputs, and wich are outputs for each model
MatchingDictionary outputsDict = MatchModelsWithVariables(inputs, allData, workflowComponents);
// 2. Determine which models are reversed, and create reversed Workflows (Model or Global) to cater for them
ReverseComponents(name, outputsDict, workflowComponents, out List <WorkflowComponent> matchedComponents, out List <WorkflowComponent> reversedComponents);
// 3. Cluster reversed components joint by non-reversible variables (e.g. arrays)
List <WorkflowComponent> reversedClusteredComponents = ClusterReversedModel(name, allData, matchedComponents, reversedComponents, mode, components);
// 4. Cluster Strongly Connected Components to get an acyclic graph
List <WorkflowComponent> clusteredComponents = ClusterStronglyConnectedComponents(name, allData, reversedClusteredComponents);
// 5. Schedule the acyclic graph to get the final order of the components
List <WorkflowComponent> scheduledComponents = ScheduleAcyclic(allData, clusteredComponents);
return(new Workflow(name, description, inputs, outputs, components, scheduledComponents, false, mode.ToString())
{
DependencyAnalysis = new GraphBasedDependencyAnalysis(matchedComponents)
});
}