public void Setup()
{
_randGen = new GMacRandomGenerator(10);
_frame = GaNumFrame.CreateConformal(5);
//_frame.SelectBilinearProductsImplementation(ProductsImplementation);
_mv1 = _randGen.GetNumMultivectorFull(_frame.GaSpaceDimension);
_mv2 = _mv1.Terms.ToDictionary(t => t.Key, t => t.Value);
_mv3 = GaNumMultivector.CreateZero(_frame.GaSpaceDimension);
//_mv4 = new Dictionary<int, double>();
//_mv5 = new double[_frame.GaSpaceDimension];
}
public string Execute()
{
var randGen = new GMacRandomGenerator(10);
var textComposer = new LinearComposer();
var numFrame = GaNumFrame.CreateConformal(5);
var symFrame = GaSymFrame.CreateConformal(5);
var numMv1 = randGen.GetNumMultivectorFull(numFrame.GaSpaceDimension);
var numMv2 = randGen.GetNumMultivectorFull(numFrame.GaSpaceDimension);
var symMv1 = numMv1.ToSymbolic();
var symMv2 = numMv2.ToSymbolic();
var symMvGp = symFrame.Gp[symMv1, symMv2];
//textComposer.AppendLineAtNewLine("Symbolic Multivector 1: ").AppendLine(symMv1);
//textComposer.AppendLineAtNewLine("Numeric Multivector 1: ").AppendLine(numMv1);
//textComposer.AppendLineAtNewLine("Symbolic Multivector 2: ").AppendLine(symMv2);
//textComposer.AppendLineAtNewLine("Numeric Multivector 2: ").AppendLine(numMv2);
//textComposer.AppendLineAtNewLine("Symbolic Gp: ").AppendLine(symMvGp);
//textComposer.AppendLineAtNewLine("Numeric GP: ").AppendLine(numMvGp);
numFrame.SetProductsImplementation(GaBilinearProductImplementation.Computed);
GaNumMultivector.ResetAddFactorsCallCount();
var numMvGp = numFrame.Gp[numMv1, numMv2];
var callsCount = GaNumMultivector.AddFactorsCallCount;
var diff = symMvGp.ToNumeric() - numMvGp;
diff.Simplify();
GaNumMultivector.ResetAddFactorsCallCount();
textComposer
.AppendLineAtNewLine("Difference, Computed Tree: ")
.AppendLine(callsCount)
.AppendLine(diff);
numFrame.SetProductsImplementation(GaBilinearProductImplementation.LookupArray);
GaNumMultivector.ResetAddFactorsCallCount();
numMvGp = numFrame.Gp[numMv1, numMv2];
callsCount = GaNumMultivector.AddFactorsCallCount;
//var factorsCount = ((GaNumMapBilinearArray) numFrame.Gp).FactorsCount;
diff = symMvGp.ToNumeric() - numMvGp;
diff.Simplify();
GaNumMultivector.ResetAddFactorsCallCount();
textComposer
.AppendLineAtNewLine("Difference, Lookup Array: ")
.AppendLine(callsCount)
//.AppendLine(factorsCount)
.AppendLine(diff);
numFrame.SetProductsImplementation(GaBilinearProductImplementation.LookupHash);
GaNumMultivector.ResetAddFactorsCallCount();
numMvGp = numFrame.Gp[numMv1, numMv2];
callsCount = GaNumMultivector.AddFactorsCallCount;
//factorsCount = ((GaNumMapBilinearHash)numFrame.Gp).FactorsCount;
diff = symMvGp.ToNumeric() - numMvGp;
diff.Simplify();
GaNumMultivector.ResetAddFactorsCallCount();
textComposer
.AppendLineAtNewLine("Difference, Lookup Hash: ")
.AppendLine(callsCount)
//.AppendLine(factorsCount)
.AppendLine(diff);
numFrame.SetProductsImplementation(GaBilinearProductImplementation.LookupTree);
GaNumMultivector.ResetAddFactorsCallCount();
numMvGp = numFrame.Gp[numMv1, numMv2];
callsCount = GaNumMultivector.AddFactorsCallCount;
//factorsCount = ((GaNumMapBilinearTree)numFrame.Gp).FactorsCount;
diff = symMvGp.ToNumeric() - numMvGp;
diff.Simplify();
GaNumMultivector.ResetAddFactorsCallCount();
textComposer
.AppendLineAtNewLine("Difference, Lookup Tree: ")
.AppendLine(callsCount)
//.AppendLine(factorsCount)
.AppendLine(diff);
numFrame.SetProductsImplementation(GaBilinearProductImplementation.LookupCoefSums);
GaNumMultivector.ResetAddFactorsCallCount();
numMvGp = numFrame.Gp[numMv1, numMv2];
callsCount = GaNumMultivector.AddFactorsCallCount;
//factorsCount = ((GaNumMapBilinearCoefSums)numFrame.Gp).FactorsCount;
diff = symMvGp.ToNumeric() - numMvGp;
diff.Simplify();
GaNumMultivector.ResetAddFactorsCallCount();
textComposer
.AppendLineAtNewLine("Difference, Lookup CoefSums: ")
.AppendLine(callsCount)
//.AppendLine(factorsCount)
.AppendLine(diff);
return(textComposer.ToString());
}