using Enigmos.Ports; using Enigmos.Ports.DataPorts; using Godot; using Nocturnis.DataStructures; using Nocturnis.Enigmos.Modules; using Nocturnis.Enigmos.Ports; using TabulaSmaragdina; using TabulaSmaragdina.Constants; namespace Enigmos.Modules.ComputationalModules.Binary; public partial class ScalarDivisionModule : BinaryComputationalModule, IPolymorphismModule, IErrorHandlerModule { private IDataPortGroup? ScalarInputGroup { get; set; } private IDataPortGroup? TensorInputGroup { get; set; } private IDataPortGroup? OutputGroup { get; set; } private DataOutPort? Output1 { get; set; } private DataOutPort? Output2 { get; set; } private DataOutPort? Output3 { get; set; } private DataOutPort? Output4 { get; set; } public override IEnumerable Ports => base.Ports.Union(new[] { Output1, Output2, Output3, Output4 })!; public override double MaintenanceAlpha => 0.77852142d; public override double MaintenanceBeta => 0.9544432d; public HashSet ConfigurablePortGroups { get; set; } = new(); public override void Init() { base.Init(); Output1 = GetPort("Output1"); Output2 = GetPort("Output2"); Output3 = GetPort("Output3"); Output4 = GetPort("Output4"); TensorInputGroup = GlobalProvider.DataStructureProvider!.NewDataPortGroup( this, new IDataPort[] { Input1 }, "Tensor Input Type", EnigmosConstant.DataPortTypes.Real, EnigmosConstant.DataPortTypes.VectorTypes ); ScalarInputGroup =GlobalProvider.DataStructureProvider.NewDataPortGroup( this, new IDataPort[] { Input2 }, "Scalar Input Type", EnigmosConstant.DataPortTypes.R2, EnigmosConstant.DataPortTypes.VectorTypes ); OutputGroup = GlobalProvider.DataStructureProvider.NewDataPortGroup( this, new IDataPort[] { Output1, Output2, Output3, Output4 }, "", EnigmosConstant.DataPortTypes.Real, Array.Empty() ); ConfigurablePortGroups = new HashSet { ScalarInputGroup, TensorInputGroup }; SelectedOption = 0; PostInit(); } protected override void Compute(IDataPackage input1, IDataPackage input2) { try { IDataPackage res = GlobalProvider.PolymorphismProvider!.ScalarDiv( input1, input2, TensorInputGroup!.SelectedType, ScalarInputGroup!.SelectedType ); foreach (IDataPort port in OutputGroup) (port as DataOutPort)!.ResultData.Assign(res, OutputGroup.SelectedType); } catch (Exception e) { ErrorHandler(e, SelectedOption); } } public void Inference() { if (GlobalProvider.DataPackageTypeProvider.IsComplexTensorType(ScalarInputGroup.SelectedType)) OutputGroup.SelectedType = GlobalProvider.DataPackageTypeProvider.ComplexVersionOf(TensorInputGroup.SelectedType); else OutputGroup.SelectedType = TensorInputGroup.SelectedType; } public void ErrorHandler(Exception error, int idx) { switch (idx) { case 0: foreach (IDataPort port in OutputGroup!) (port as DataOutPort)!.ResultData .Assign(GlobalProvider.DataStructureProvider!.DefaultDataPackage, OutputGroup.SelectedType); break; case 1: foreach (IDataPort port in OutputGroup!) (port as DataOutPort)!.ResultData .Assign(GlobalProvider.DataStructureProvider!.DefaultDataPackage, OutputGroup.SelectedType); break; case 2: foreach (IDataPort port in OutputGroup!) (port as DataOutPort)!.ResultData .Assign(GlobalProvider.DataStructureProvider!.DefaultDataPackage, OutputGroup.SelectedType); break; default: return; } } public string[] HandlingOptions() => new[] { "Reset Circuit State", "Return Previous Valid Value", "Return Default Value" }; public int SelectedOption { get; set; } }