Similar to CartesianProduct, this object creates a sampling scheme that produces a grid of samples, where each column has its own 1D grid. More...

#include <Cartesian1DSampler.h>

Inheritance diagram for Cartesian1DSampler:

[legend]

Public Types
enum	SampleMode { SampleMode::GLOBAL, SampleMode::LOCAL }

typedef DataFileName	DataFileParameterType

Public Member Functions
	Cartesian1DSampler (const InputParameters &parameters)

std::vector< Real >	getNextLocalRow ()

dof_id_type	getNumberOfRows () const

dof_id_type	getNumberOfCols () const

dof_id_type	getNumberOfLocalRows () const

const LocalRankConfig &	getRankConfig (bool batch_mode) const

virtual bool	isAdaptiveSamplingCompleted () const

libMesh::Parallel::Communicator &	getLocalComm ()

virtual bool	enabled () const

std::shared_ptr< MooseObject >	getSharedPtr ()

std::shared_ptr< const MooseObject >	getSharedPtr () const

bool	isKokkosObject () const

MooseApp &	getMooseApp () const

const std::string &	type () const

const std::string &	name () const

std::string	typeAndName () const

MooseObjectParameterName	uniqueParameterName (const std::string &parameter_name) const

MooseObjectName	uniqueName () const

const InputParameters &	parameters () const

const hit::Node *	getHitNode () const

bool	hasBase () const

const std::string &	getBase () const

const T &	getParam (const std::string &name) const

std::vector< std::pair< T1, T2 > >	getParam (const std::string &param1, const std::string &param2) const

const T *	queryParam (const std::string &name) const

const T &	getRenamedParam (const std::string &old_name, const std::string &new_name) const

T	getCheckedPointerParam (const std::string &name, const std::string &error_string="") const

bool	haveParameter (const std::string &name) const

bool	isParamValid (const std::string &name) const

bool	isParamSetByUser (const std::string &name) const

void	connectControllableParams (const std::string &parameter, const std::string &object_type, const std::string &object_name, const std::string &object_parameter) const

void	paramError (const std::string &param, Args... args) const

void	paramWarning (const std::string &param, Args... args) const

void	paramWarning (const std::string &param, Args... args) const

void	paramInfo (const std::string &param, Args... args) const

std::string	messagePrefix (const bool hit_prefix=true) const

std::string	errorPrefix (const std::string &) const

void	mooseError (Args &&... args) const

void	mooseDocumentedError (const std::string &repo_name, const unsigned int issue_num, Args &&... args) const

void	mooseErrorNonPrefixed (Args &&... args) const

void	mooseWarning (Args &&... args) const

void	mooseWarning (Args &&... args) const

void	mooseWarningNonPrefixed (Args &&... args) const

void	mooseWarningNonPrefixed (Args &&... args) const

void	mooseDeprecated (Args &&... args) const

void	mooseDeprecated (Args &&... args) const

void	mooseDeprecatedNoTrace (Args &&... args) const

void	mooseInfo (Args &&... args) const

void	callMooseError (std::string msg, const bool with_prefix, const hit::Node *node=nullptr, const bool show_trace=true) const

std::string	getDataFileName (const std::string &param) const

std::string	getDataFileNameByName (const std::string &relative_path) const

std::string	getDataFilePath (const std::string &relative_path) const

virtual void	initialSetup ()

virtual void	timestepSetup ()

virtual void	jacobianSetup ()

virtual void	residualSetup ()

virtual void	subdomainSetup ()

virtual void	customSetup (const ExecFlagType &)

const ExecFlagEnum &	getExecuteOnEnum () const

PerfGraph &	perfGraph ()

T &	getSampler (const std::string &name)

Sampler &	getSampler (const std::string &name)

T &	getSamplerByName (const SamplerName &name)

Sampler &	getSamplerByName (const SamplerName &name)

const VectorPostprocessorValue &	getVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name) const

const VectorPostprocessorValue &	getVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name, bool needs_broadcast) const

const VectorPostprocessorValue &	getVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name) const

const VectorPostprocessorValue &	getVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name, bool needs_broadcast) const

const VectorPostprocessorValue &	getVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name) const

const VectorPostprocessorValue &	getVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name, bool needs_broadcast) const

const VectorPostprocessorValue &	getVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name) const

const VectorPostprocessorValue &	getVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name, bool needs_broadcast) const

const ScatterVectorPostprocessorValue &	getScatterVectorPostprocessorValue (const std::string &param_name, const std::string &vector_name) const

const ScatterVectorPostprocessorValue &	getScatterVectorPostprocessorValueByName (const VectorPostprocessorName &name, const std::string &vector_name) const

const ScatterVectorPostprocessorValue &	getScatterVectorPostprocessorValueOld (const std::string &param_name, const std::string &vector_name) const

const ScatterVectorPostprocessorValue &	getScatterVectorPostprocessorValueOldByName (const VectorPostprocessorName &name, const std::string &vector_name) const

bool	hasVectorPostprocessor (const std::string &param_name, const std::string &vector_name) const

bool	hasVectorPostprocessor (const std::string &param_name) const

bool	hasVectorPostprocessorByName (const VectorPostprocessorName &name, const std::string &vector_name) const

bool	hasVectorPostprocessorByName (const VectorPostprocessorName &name) const

const VectorPostprocessorName &	getVectorPostprocessorName (const std::string &param_name) const

DenseMatrix< Real >	getGlobalSamples ()

DenseMatrix< Real >	getGlobalSamples ()

DenseMatrix< Real >	getLocalSamples ()

DenseMatrix< Real >	getLocalSamples ()

dof_id_type	getLocalRowBegin () const

dof_id_type	getLocalRowBegin () const

dof_id_type	getLocalRowEnd () const

dof_id_type	getLocalRowEnd () const

const Distribution &	getDistribution (const std::string &name) const

const T &	getDistribution (const std::string &name) const

const Distribution &	getDistribution (const std::string &name) const

const T &	getDistribution (const std::string &name) const

const Distribution &	getDistributionByName (const DistributionName &name) const

const T &	getDistributionByName (const std::string &name) const

const Distribution &	getDistributionByName (const DistributionName &name) const

const T &	getDistributionByName (const std::string &name) const

bool	isVectorPostprocessorDistributed (const std::string &param_name) const

bool	isVectorPostprocessorDistributed (const std::string &param_name) const

bool	isVectorPostprocessorDistributedByName (const VectorPostprocessorName &name) const

bool	isVectorPostprocessorDistributedByName (const VectorPostprocessorName &name) const

const Parallel::Communicator &	comm () const

processor_id_type	n_processors () const

processor_id_type	processor_id () const

Static Public Member Functions
static InputParameters	validParams ()

static void	callMooseError (MooseApp const app, const InputParameters &params, std::string msg, const bool with_prefix, const hit::Node node, const bool show_trace=true)

Public Attributes
	usingCombinedWarningSolutionWarnings

const ConsoleStream	_console

Static Public Attributes
static const std::string	type_param

static const std::string	name_param

static const std::string	unique_name_param

static const std::string	app_param

static const std::string	moose_base_param

static const std::string	kokkos_object_param

Protected Member Functions
virtual Real	computeSample (dof_id_type row_index, dof_id_type col_index) override
	Return the sample for the given row and column. More...

void	setNumberOfRandomSeeds (std::size_t number)

Real	getRand (std::size_t n, unsigned int index=0) const

unsigned int	getRandl (std::size_t n, unsigned int lower, unsigned int upper, unsigned int index=0) const

virtual LocalRankConfig	constructRankConfig (bool batch_mode) const

void	flagInvalidSolutionInternal (const InvalidSolutionID invalid_solution_id) const

InvalidSolutionID	registerInvalidSolutionInternal (const std::string &message, const bool warning) const

PerfID	registerTimedSection (const std::string &section_name, const unsigned int level) const

PerfID	registerTimedSection (const std::string &section_name, const unsigned int level, const std::string &live_message, const bool print_dots=true) const

std::string	timedSectionName (const std::string &section_name) const

virtual void	addVectorPostprocessorDependencyHelper (const VectorPostprocessorName &) const

const ReporterContextBase &	getReporterContextBaseByName (const ReporterName &reporter_name) const

const ReporterName &	getReporterName (const std::string &param_name) const

virtual void	addReporterDependencyHelper (const ReporterName &)

void	setNumberOfRows (dof_id_type n_rows)

void	setNumberOfRows (dof_id_type n_rows)

void	setNumberOfCols (dof_id_type n_cols)

void	setNumberOfCols (dof_id_type n_cols)

virtual void	computeSampleMatrix (DenseMatrix< Real > &matrix)

virtual void	computeSampleMatrix (DenseMatrix< Real > &matrix)

virtual void	computeLocalSampleMatrix (DenseMatrix< Real > &matrix)

virtual void	computeLocalSampleMatrix (DenseMatrix< Real > &matrix)

virtual void	computeSampleRow (dof_id_type i, std::vector< Real > &data)

virtual void	computeSampleRow (dof_id_type i, std::vector< Real > &data)

virtual void	advanceGenerators (const dof_id_type count)

virtual void	advanceGenerators (const dof_id_type count)

virtual void	advanceGenerator (const unsigned int seed_index, const dof_id_type count)

virtual void	advanceGenerator (const unsigned int seed_index, const dof_id_type count)

void	setAutoAdvanceGenerators (const bool state)

void	setAutoAdvanceGenerators (const bool state)

virtual void	executeSetUp ()

virtual void	executeSetUp ()

virtual void	executeTearDown ()

virtual void	executeTearDown ()

const T &	getReporterValue (const std::string &param_name, const std::size_t time_index=0)

const T &	getReporterValue (const std::string &param_name, ReporterMode mode, const std::size_t time_index=0)

const T &	getReporterValue (const std::string &param_name, const std::size_t time_index=0)

const T &	getReporterValue (const std::string &param_name, ReporterMode mode, const std::size_t time_index=0)

const T &	getReporterValueByName (const ReporterName &reporter_name, const std::size_t time_index=0)

const T &	getReporterValueByName (const ReporterName &reporter_name, ReporterMode mode, const std::size_t time_index=0)

const T &	getReporterValueByName (const ReporterName &reporter_name, const std::size_t time_index=0)

const T &	getReporterValueByName (const ReporterName &reporter_name, ReporterMode mode, const std::size_t time_index=0)

bool	hasReporterValue (const std::string &param_name) const

bool	hasReporterValue (const std::string &param_name) const

bool	hasReporterValue (const std::string &param_name) const

bool	hasReporterValue (const std::string &param_name) const

bool	hasReporterValueByName (const ReporterName &reporter_name) const

bool	hasReporterValueByName (const ReporterName &reporter_name) const

bool	hasReporterValueByName (const ReporterName &reporter_name) const

bool	hasReporterValueByName (const ReporterName &reporter_name) const

Protected Attributes
const std::vector< Real > &	_nominal_values
	The values to use when not sampling from a column's grid. More...

std::vector< dof_id_type >	_grid_range
	The range of rows in which to apply the grid for each column. More...

std::vector< std::vector< Real > >	_grid_items
	The values to use when sampling from a column's grid. More...

const dof_id_type	_min_procs_per_row

const dof_id_type	_max_procs_per_row

libMesh::Parallel::Communicator	_local_comm

const bool &	_enabled

MooseApp &	_app

Factory &	_factory

ActionFactory &	_action_factory

const std::string &	_type

const std::string &	_name

const InputParameters &	_pars

const ExecFlagEnum &	_execute_enum

const ExecFlagType &	_current_execute_flag

MooseApp &	_pg_moose_app

const std::string	_prefix

const Parallel::Communicator &	_communicator

Detailed Description

Similar to CartesianProduct, this object creates a sampling scheme that produces a grid of samples, where each column has its own 1D grid.

Example: linear_space_items = '0 1 3 0 2 4' nominal_values = '1.5 2.5'

result = [0.0, 2.5] [1.0, 2.5] [2.0, 2.5] [1.5, 0.0] [1.5, 2.0] [1.5, 4.0] [1.5, 6.0]

Definition at line 30 of file Cartesian1DSampler.h.

Constructor & Destructor Documentation

◆ Cartesian1DSampler()

Cartesian1DSampler::Cartesian1DSampler ( const InputParameters & parameters )

Definition at line 27 of file Cartesian1DSampler.C.

   : Sampler(parameters), _nominal_values(getParam<std::vector<Real>>("nominal_values"))
 {
   const std::vector<Real> & items = getParam<std::vector<Real>>("linear_space_items");
   if (items.size() % 3 != 0)
     paramError("linear_space_items",
                "The number of numeric items must be divisible by 3; min, max, divisions for each "
                "item are required.");
   const dof_id_type num_cols = items.size() / 3;
   if (_nominal_values.size() != num_cols)
     paramError("nominal_values",
                "The number of values specified must match the number of triplets in "
                "'linear_space_items'.");
 
   _grid_range.resize(num_cols + 1, 0);
   _grid_items.resize(num_cols);
   dof_id_type num_rows = 0;
   for (std::size_t i = 0; i < items.size(); i += 3)
   {
     if (items[i + 2] != std::floor(items[i + 2]))
       paramError("linear_space_items",
                  "The third entry for each item must be an integer; it provides the number of "
                  "entries in the resulting item vector.");
 
     if (items[i + 2] < 0)
       paramError("linear_space_items",
                  "The third entry for each item must be positive; it provides the number of "
                  "entries in the resulting item vector.");
 
     const dof_id_type col = i / 3;
     const dof_id_type ng = static_cast<dof_id_type>(items[i + 2]);
 
     num_rows += ng;
     _grid_range[col + 1] = num_rows;
     _grid_items[col].resize(ng);
     for (const auto & j : make_range(ng))
       _grid_items[col][j] = items[i] + j * items[i + 1];
   }
 
   setNumberOfRows(num_rows);
   setNumberOfCols(num_cols);
 }

Member Function Documentation

◆ computeSample()

Real Cartesian1DSampler::computeSample	(	dof_id_type	row_index,
		dof_id_type	col_index
	)

overrideprotectedvirtual

Return the sample for the given row and column.

Implements Sampler.

Definition at line 71 of file Cartesian1DSampler.C.

 {
   if (row_index >= _grid_range[col_index] && row_index < _grid_range[col_index + 1])
     return _grid_items[col_index][row_index - _grid_range[col_index]];
   else
     return _nominal_values[col_index];
 }

◆ validParams()

InputParameters Cartesian1DSampler::validParams ( )

static

Definition at line 15 of file Cartesian1DSampler.C.

 {
   InputParameters params = Sampler::validParams();
   params.addClassDescription("Provides complete Cartesian product for the supplied variables.");
   params.addRequiredParam<std::vector<Real>>(
       "linear_space_items",
       "A list of triplets, each item should include the min, step size, and number of steps.");
   params.addRequiredParam<std::vector<Real>>("nominal_values", "Nominal values for each column.");
   params.set<ExecFlagEnum>("execute_on") = EXEC_INITIAL;
   return params;
 }

Member Data Documentation

◆ _grid_items

std::vector<std::vector<Real> > Cartesian1DSampler::_grid_items

protected

The values to use when sampling from a column's grid.

Definition at line 46 of file Cartesian1DSampler.h.

Referenced by Cartesian1DSampler(), and computeSample().

◆ _grid_range

std::vector<dof_id_type> Cartesian1DSampler::_grid_range

protected

The range of rows in which to apply the grid for each column.

Definition at line 44 of file Cartesian1DSampler.h.

Referenced by Cartesian1DSampler(), and computeSample().

◆ _nominal_values

const std::vector<Real>& Cartesian1DSampler::_nominal_values

protected

The values to use when not sampling from a column's grid.

Definition at line 42 of file Cartesian1DSampler.h.

Referenced by Cartesian1DSampler(), and computeSample().

The documentation for this class was generated from the following files:

stochastic_tools/include/samplers/Cartesian1DSampler.h
stochastic_tools/src/samplers/Cartesian1DSampler.C

Public Types

Public Member Functions

Static Public Member Functions

Public Attributes

Static Public Attributes

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ Cartesian1DSampler()

Member Function Documentation

◆ computeSample()

◆ validParams()

Member Data Documentation

◆ _grid_items

◆ _grid_range

◆ _nominal_values