Config

class Config

Main class for defining the problem; basically this class reads the configuration file, and stores all the information.

Public Functions

Config(std::string case_filename): Constructor of the class which reads the input file.

~Config(void): Destructor of the class.

inline std::string GetCTFile() const: Get Value of this option. Please keep alphabetical order within each subcategory.

BOUNDARY_TYPE GetBoundaryType(std::string nameMarker) const: Get Boundary Type of given marker.

inline void SetNQuadPoints(unsigned nq): Never change the nq! This is only for the test framework.

inline void SetQuadName(QUAD_NAME quadName): Never change the quadName! This is only for the test framework.

inline void SetQuadOrder(unsigned quadOrder): Never change the quadOrder! This is only for the test framework.

inline void SetSNAllGaussPts(bool useall): Never change the this! This is only for the test framework.

Private Functions

void SetDefault(void): Set default values for all options not yet set.

void SetConfigOptions(void): Set the config options. ==> Set new config options here.

void SetConfigParsing(std::string case_filename): Set the config file parsing.

void SetOutput(void): Config file screen output.

void SetPointersNull(void): Initializes pointers to null.

void SetPostprocessing(void): Config file postprocessing.

bool TokenizeString(std::string &str, std::string &option_name, std::vector<std::string> &option_value)

breaks an input line from the config file into a set of tokens

Parameters:

str – the input line string
option_name – the name of the option found at the beginning of the line
option_value – the tokens found after the “=” sign on the line

Returns:

false if the line is empty or a commment, true otherwise

void AddBoolOption(const std::string name, bool &option_field, bool default_value)

addDoubleOption creates a config file parser for an option with the given name whose value can be represented by a su2double.

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Private Members

std::string _fileName: Name of the current file without extension.

std::string _inputDir: Directory for input files.

std::string _outputDir: Directory for output files.

std::string _outputFile: Name of output file.

std::string _logDir: Directory of log file.

std::string _logFileName: Name of log file.

std::string _meshFile: Name of mesh file.

std::string _ctFile: Name of CT file.

QUAD_NAME _quadName: Quadrature Name.

unsigned short _quadOrder: Quadrature Order.

unsigned _nQuadPoints: Number of quadrature points. (Deprecated)

unsigned _nCells: Number of cells in the mesh.

unsigned short _dim: spatial dimensionality of the mesh/test case

bool _forcedConnectivityWrite: If true, the meshconnectivity is always computed and written to .con file.

bool _loadrestartSolution: If true, the simulation loads a restart solution from file.

unsigned long _saveRestartSolutionFrequency: Frequency for saving restart solution to file.

std::vector<std::pair<std::string, BOUNDARY_TYPE>> _boundaries

List of all Pairs (marker, BOUNDARY_TYPE), e.g. (farfield,DIRICHLET). Each Boundary Conditions must have an entry in enum BOUNDARY_TYPE.

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unsigned short _nMarkerDirichlet: Number of Dirichlet BC markers. Enum entry: DIRICHLET.

unsigned short _nMarkerNeumann: Number of Neumann BC markers. Enum entry: Neumann.

std::vector<std::string> _MarkerDirichlet: Dirichlet BC markers.

std::vector<std::string> _MarkerNeumann: Neumann BC markers.

double _CFL: CFL Number for Solver.

double _tEnd: Final Time for Simulation.

PROBLEM_NAME _problemName: Name of predefined Problem

SOLVER_NAME _solverName: Name of the used Solver.

ENTROPY_NAME _entropyName: Name of the used Entropy Functional.

unsigned short _maxMomentDegree: Maximal Order of Moments for PN and MN Solver.

unsigned short _reconsOrder: Spatial Order of Accuracy for Solver.

bool _realizabilityRecons: Turns realizability reconstruction on/off for u sampling and MN solver.

bool _isMomentSolver: Flag for the moment base (PN and MN) solvers.

unsigned short _rungeKuttaStages

Specify the number of Runge Kutta time integration stages.

If true, very low entries (10^-10 or smaller) of the flux matrices will be set to zero, to improve floating point accuracy

bool _allGaussPts: If true, the SN Solver uses all Gauss pts in the quadrature.

bool _csd: If true, continuous slowing down approximation will be used.

double _sigmaS: Scattering coeffient for Linesource test case.

double _magQ: Magnitude of Source.

std::string _dataDir: material directory

std::string _hydrogenFile: Name of hydrogen cross section file path.

std::string _oxygenFile: Name of oxygen cross section file path.

std::string _stoppingPowerFile: Name of stopping power file path.

double _dsgnAbsBlue: Absorption in all blue blocks.

double _dsgnScatterWhite: Scattering in all white blocks.

std::vector<double> _dsgnAbsIndividual: Absorption in all 7x7 blocks of the Lattice test case (up left to low right)

unsigned short _nDsgnAbsIndividual: Number of individual blocks. Needs to be 49.

std::vector<double> _dsgnScatterIndividual: Scatter in all 7x7 blocks of the Lattice test case (up left to low right)

unsigned short _nDsgnScatterIndividual: Number of individual blocks. Needs to be 49.

unsigned short _nProbingCellsLineGreenHohlraum: Number SamplingPoints for Hohlraum Green region sampling.

double _posCenterXHohlraum: Center of the Hohlraum Green region.

double _posCenterYHohlraum: Center of the Hohlraum Green region.

double _posRedRightTop: y coord of the top of the right red area

double _posRedLeftTop: y coord of the top of the left red area

double _posRedRightBottom: y coord of the bottom of the right red area

double _posRedLeftBottom: y coord of the bottom of the left red area

double _posRedLeftBorder: pos of the inner border of the left red area

double _posRedRightBorder: pos of the inner border of the right red area

double _maxEnergyCSD: Maximum energy for CSD simulation.

KERNEL_NAME _kernelName: Scattering Kernel Name.

SPHERICAL_BASIS_NAME _sphericalBasisName: Name of the basis on the unit sphere.

OPTIMIZER_NAME _entropyOptimizerName: Choice of optimizer.

bool _entropyDynamicClosure: Flag for dynamic closure ansatz for normalized mn solver.

double _optimizerEpsilon: termination criterion epsilon for Newton Optmizer

unsigned long _newtonIter: Maximal Number of newton iterations.

double _newtonStepSize: Stepsize factor for newton optimizer.

unsigned long _newtonLineSearchIter: Maximal Number of line search iterations for newton optimizer.

bool _newtonFastMode: If true, we skip the NewtonOptimizer for quadratic entropy and assign alpha = u.

double _regularizerGamma: Regularization parameter for the regularized closure.

unsigned short _neuralModel: Version number of the employed neural model.

unsigned short _neuralGamma: Gamma value (regularization parameter) of the employed neural model.

bool _enforceNeuralRotationalSymmetry: Flag if rotational symmtry of model is enforced.

unsigned short _nVolumeOutput: Number of volume outputs.

std::vector<VOLUME_OUTPUT> _volumeOutput: Output groups for volume output.

unsigned short _volumeOutputFrequency: Frequency of vtk write of volume output.

unsigned short _nScreenOutput: Number of screen outputs.

std::vector<SCALAR_OUTPUT> _screenOutput: Output groups for screen output.

unsigned short _screenOutputFrequency: Frequency of screen output.

unsigned short _nHistoryOutput: Number of screen outputs.

std::vector<SCALAR_OUTPUT> _historyOutput: Output groups for screen output.

unsigned short _historyOutputFrequency: Frequency of screen output.

bool _dataGeneratorMode

Check, if data generator mode is active. If yes, no solver is called, but instead the data generator is executed.

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SAMPLER_NAME _sampler: Sampling mode for regression or classification datasets.

unsigned long _tainingSetSize: Size of training data set for data generator.

bool _sizeByDimension: If true, the value of _trainingSetSize is the number of gridpoints in one dimension.

unsigned long _maxValFirstMoment: Size of training data set for data generator.

double _RealizableSetEpsilonU0: Distance to 0 of the sampled moments to the boundary of the realizable set.

double _RealizableSetEpsilonU1: norm(u_1)/u_0 !< _RealizableSetEpsilonU1

bool _normalizedSampling: Flag for sampling of normalized moments, i.e. u_0 =1.

bool _alphaSampling: Flag for sampling alpha instead of u.

double _alphaBound: The norm boundary for the sampling range of alpha.

double _minEVAlphaSampling: Rejection sampling criterion is a minimal eigenvalue threshold.

bool _sampleUniform: If true, samples uniform, if false, sampleswith cutoff normal distribution.

double _maxSamplingVelocity: The lower bound for the velocity space in the 1D classification sampler.

double _maxSamplingTemperature: The lower bound for the interval to draw temperatures for the 1D classification sampler.

double _minSamplingTemperature: The upper bound for the interval to draw temperatures for the 1D classification sampler.

unsigned short _nTemperatures: The number of sampling temperatures for the kinetic density sampler.