private static int PropagateNodeWeight(AST.Address node, DAG dag)
{
// if the node is a formula, recursively
// compute its weight
if (dag.isFormula(node))
{
// get input nodes
var vector_rngs = dag.getFormulaInputVectors(node);
var scinputs = dag.getFormulaSingleCellInputs(node);
var inputs = vector_rngs.SelectMany(vrng => vrng.Addresses()).ToList();
inputs.AddRange(scinputs);
// call recursively and sum components
var weight = 0;
foreach (var input in inputs)
{
weight += PropagateNodeWeight(input, dag);
}
dag.setWeight(node, weight);
return(weight);
}
// node is an input
else
{
dag.setWeight(node, 1);
return(1);
}
}
// Propagate weights
private static void PropagateWeights(DAG dag)
{
if (dag.containsLoop())
{
throw new ContainsLoopException();
}
// starting set of functions; roots in the forest
var formulas = dag.terminalFormulaNodes(false);
// for each forest
foreach (AST.Address f in formulas)
{
dag.setWeight(f, PropagateNodeWeight(f, dag));
}
}
// Propagate weights
private static void PropagateWeights(DAG dag)
{
if (dag.containsLoop())
{
throw new ContainsLoopException();
}
// starting set of functions; roots in the forest
var formulas = dag.terminalFormulaNodes(false);
// for each forest
foreach (AST.Address f in formulas)
{
dag.setWeight(f, PropagateNodeWeight(f, dag));
}
}
private static int PropagateNodeWeight(AST.Address node, DAG dag)
{
// if the node is a formula, recursively
// compute its weight
if (dag.isFormula(node))
{
// get input nodes
var vector_rngs = dag.getFormulaInputVectors(node);
var scinputs = dag.getFormulaSingleCellInputs(node);
var inputs = vector_rngs.SelectMany(vrng => vrng.Addresses()).ToList();
inputs.AddRange(scinputs);
// call recursively and sum components
var weight = 0;
foreach (var input in inputs)
{
weight += PropagateNodeWeight(input, dag);
}
dag.setWeight(node, weight);
return weight;
}
// node is an input
else
{
dag.setWeight(node, 1);
return 1;
}
}