ResourceMap

class ResourceMap(*args, **kwargs)

The ResourceMap allows to manage constants that are associated to key strings.

Find below the ResourceMap’s content:

Key Value Type
ARMA-MeanEpsilon 1e-14 float
ARMALikelihoodFactory-DefaultMaxFun 10000 unsigned int
ARMALikelihoodFactory-DefaultRhoBeg 0.01 float
ARMALikelihoodFactory-DefaultRhoEnd 1e-10 float
ARMALikelihoodFactory-DefaultStartingPointScale 1 float
ARMALikelihoodFactory-MaximalScaling 100000 float
ARMALikelihoodFactory-RootEpsilon 1e-06 float
ARMALikelihoodFactory-StartingScaling 1e-13 float
AbdoRackwitz-DefaultMaximumEvaluationNumber 100000 unsigned int
AbdoRackwitz-DefaultOmega 0.0001 float
AbdoRackwitz-DefaultSmooth 1.2 float
AbdoRackwitz-DefaultTau 0.5 float
AbsoluteExponential-DefaultTheta 1 float
AdaptiveDirectionalSampling-DefaultGamma 0.5 float
AdaptiveDirectionalSampling-DefaultMaximumStratificationDimension 3 unsigned int
AdaptiveDirectionalSampling-DefaultNumberOfSteps 2 unsigned int
AdaptiveStieltjesAlgorithm-MaximumError 1e-12 float
AdaptiveStieltjesAlgorithm-MaximumSubIntervalsBetweenRoots 64 unsigned int
AliMikhailHaqCopulaFactory-ThetaEpsilon 1e-14 float
AnalyticalResult-DefaultWidth 1 float
AnalyticalResult-MeanPointIntegrationNodesNumber 255 unsigned int
BernsteinCopulaFactory-BinNumberSelectionMethod LogLikelihood string
BernsteinCopulaFactory-MaxM 1 unsigned int
BernsteinCopulaFactory-MinM 2 unsigned int
BernsteinCopulaFactory-SamplingSize 10000 unsigned int
BernsteinCopulaFactory-alpha 1 float
BernsteinCopulaFactory-kFraction 2 unsigned int
BlendedStep-DefaultEta 1 float
BoundingVolumeHierarchy-BinNumber 50 unsigned int
BoundingVolumeHierarchy-Strategy Mean string
BoxCoxFactory-DefaultMaxFun 2000 unsigned int
BoxCoxFactory-DefaultPointNumber 201 unsigned int
BoxCoxFactory-DefaultRhoBeg 0.1 float
BoxCoxFactory-DefaultRhoEnd 1e-10 float
BurrFactory-AbsolutePrecision 1e-12 float
BurrFactory-MaximumIteration 10 unsigned int
BurrFactory-RelativePrecision 1e-12 float
BurrFactory-ResidualPrecision 1e-12 float
CalibrationStrategy-DefaultCalibrationStep 100 unsigned int
CalibrationStrategy-DefaultExpansionFactor 1.2 float
CalibrationStrategy-DefaultLowerBound 0.117 float
CalibrationStrategy-DefaultShrinkFactor 0.8 float
CalibrationStrategy-DefaultUpperBound 0.468 float
CenteredFiniteDifferenceGradient-DefaultEpsilon 1e-05 float
CenteredFiniteDifferenceHessian-DefaultEpsilon 0.0001 float
CholeskyMethod-LargeCase 128 unsigned int
Classifier-Parallel true bool
CleaningStrategy-DefaultMaximumSize 20 unsigned int
CleaningStrategy-DefaultSignificanceFactor 0.0001 float
Cobyla-DefaultRhoBeg 0.1 float
Collection-size-visible-in-str-from 10 unsigned int
Compact-DefaultHalfMaximumSize 1024 unsigned int
ComplexTensor-size-visible-in-str-from 6 unsigned int
ComposedDistribution-UseGenericCovarianceAlgorithm false bool
CompositeDistribution-SolverEpsilon 1e-10 float
CompositeDistribution-StepNumber 256 unsigned int
ConditionalDistribution-MarginalIntegrationNodesNumber 256 unsigned int
ConditionalDistribution-MaximumIntegrationNodesNumber 100000 unsigned int
ContinuousDistribution-DefaultIntegrationNodesNumber 256 unsigned int
Contour-DefaultLevelsNumber 10 unsigned int
CovarianceModel-DefaultNuggetFactor 1e-12 float
DesignProxy-DefaultCacheSize 16777216 unsigned int
DirectionalSampling-MeanContributionIntegrationNodesNumber 255 unsigned int
Dirichlet-DefaultIntegrationSize 50 unsigned int
Dirichlet-DefaultSamplingSize 500000 unsigned int
DirichletFactory-MaximumIteration 10 unsigned int
DirichletFactory-ParametersEpsilon 1e-12 float
DiscreteDistribution-SupportEpsilon 1e-14 float
DistFunc-MaximumIteration 5000 unsigned int
DistFunc-Precision 1e-14 float
Distribution-CharacteristicFunctionBlockMax 20 unsigned int
Distribution-CharacteristicFunctionNMax 1000000 unsigned int
Distribution-DefaultCDFEpsilon 1e-14 float
Distribution-DefaultIntegrationNodesNumber 255 unsigned int
Distribution-DefaultLevelNumber 10 unsigned int
Distribution-DefaultPDFEpsilon 1e-14 float
Distribution-DefaultPointNumber 129 unsigned int
Distribution-DefaultQuantileCacheSize 128 unsigned int
Distribution-DefaultQuantileEpsilon 1e-12 float
Distribution-DefaultQuantileIteration 100 unsigned int
Distribution-EntropySamplingSize 1048576 unsigned int
Distribution-MinimumVolumeLevelSetBySampling false bool
Distribution-MinimumVolumeLevelSetSamplingSize 1048576 unsigned int
Distribution-Parallel true bool
Distribution-QMax 0.85 float
Distribution-QMin 0.15 float
Distribution-SmallDimensionEntropy 3 unsigned int
Distribution-UseCovarianceAdaptiveAlgorithm true bool
DistributionFactory-BootstrapErrorTolerance 0.1 float
DistributionFactory-DefaultBootstrapSize 100 unsigned int
Domain-SmallVolume 1e-12 float
Drawable-AlternativePattern S string
Drawable-DataThreshold 2000 unsigned int
Drawable-DefaultColor blue string
Drawable-DefaultFillStyle solid string
Drawable-DefaultLineStyle solid string
Drawable-DefaultLineWidth 1 float
Drawable-DefaultPalettePhase 12 unsigned int
Drawable-DefaultPattern s string
Drawable-DefaultPointStyle plus string
Drawable-DefaultSurfaceColor white string
Drawable-NoSpecifiedLabel ‘ ‘ string
DualLinearCombinationEvaluation-SmallCoefficient 0 float
EfficientGlobalOptimization-DefaultAEITradeoff 1 float
EfficientGlobalOptimization-DefaultCorrelationLengthFactor 1 float
EfficientGlobalOptimization-DefaultImprovementFactor 1 float
EfficientGlobalOptimization-DefaultMultiStartExperimentSize 100 unsigned int
EfficientGlobalOptimization-DefaultMultiStartNumber 20 unsigned int
EfficientGlobalOptimization-DefaultParameterEstimationPeriod 1 unsigned int
EnclosingSimplexAlgorithm-LargeDimension 5 unsigned int
ExpectationSimulationAlgorithm-DefaultCoefficientOfVariationCriterionType MAX string
ExpectationSimulationAlgorithm-DefaultStandardDeviationCriterionType NONE string
ExtremeValueCopula-CheckGridSize 11 unsigned int
ExtremeValueCopula-CheckPickandFunction true bool
FAST-DefaultInterferenceFactor 4 unsigned int
FAST-DefaultResamplingSize 1 unsigned int
FaureSequence-InitialSeed 1 unsigned int
Fehlberg-DefaultOrder 4 unsigned int
Fehlberg-InitialStep 1e-07 float
Fehlberg-LocalPrecision 1e-10 float
Field-ArrowRatio 0.01 float
Field-ArrowScaling 0.1 float
Field-LevelNumber 30 unsigned int
FisherSnedecorFactory-D1LowerBound 0.01 float
FisherSnedecorFactory-D2LowerBound 0.01 float
FittingTest-ChiSquaredMinFrequency 5 unsigned int
FittingTest-KolmogorovSamplingSize 10 unsigned int
FrankCopulaFactory-AbsolutePrecision 1e-14 float
FrankCopulaFactory-MaximumIteration 100 unsigned int
FrankCopulaFactory-RelativePrecision 1e-14 float
FrankCopulaFactory-ResidualPrecision 1e-14 float
FrechetFactory-BoundMargin 10 float
FunctionalChaosAlgorithm-DefaultMaximumResidual 1e-06 float
FunctionalChaosAlgorithm-LargeSampleSize 10000 unsigned int
FunctionalChaosAlgorithm-MaximumTotalDegree 10 unsigned int
FunctionalChaosAlgorithm-PValueThreshold 0.001 float
FunctionalChaosAlgorithm-QNorm 0.5 float
FunctionalChaosAlgorithm-SmallSampleSize 1000 unsigned int
FunctionalChaosSobolIndices-VariancePartThreshold 0.01 float
GaussKronrod-MaximumError 1e-12 float
GaussKronrod-MaximumSubIntervals 100 unsigned int
GaussLegendre-DefaultMarginalIntegrationPointsNumber 64 unsigned int
GaussProductExperiment-DefaultMarginalDegree 5 unsigned int
GaussianProcess-GibbsMaximumIteration 100 unsigned int
GaussianProcess-MaximalScaling 100000 float
GaussianProcess-StartingScaling 1e-13 float
GeneralLinearModelAlgorithm-DefaultOptimizationAlgorithm TNC string
GeneralLinearModelAlgorithm-DefaultOptimizationLowerBound 0.01 float
GeneralLinearModelAlgorithm-DefaultOptimizationScaleFactor 2 float
GeneralLinearModelAlgorithm-DefaultOptimizationUpperBound 100 float
GeneralLinearModelAlgorithm-KeepCovariance true bool
GeneralLinearModelAlgorithm-LinearAlgebra LAPACK string
GeneralLinearModelAlgorithm-MaximalScaling 100000 float
GeneralLinearModelAlgorithm-MeanEpsilon 1e-12 float
GeneralLinearModelAlgorithm-NormalizeData false bool
GeneralLinearModelAlgorithm-OptimizeParameters true bool
GeneralLinearModelAlgorithm-StartingScaling 1e-13 float
GeneralLinearModelAlgorithm-UnbiasedVariance true bool
GeneralLinearModelAlgorithm-UseAnalyticalAmplitudeEstimate true bool
GeneralizedExponential-DefaultTheta 1 float
GeneralizedExtremeValue-XiThreshold 1e-06 float
GeneralizedParetoFactory-MaximumAbsoluteError 1e-10 float
GeneralizedParetoFactory-MaximumConstraintError 1e-10 float
GeneralizedParetoFactory-MaximumEvaluationNumber 1000 unsigned int
GeneralizedParetoFactory-MaximumObjectiveError 1e-10 float
GeneralizedParetoFactory-MaximumRelativeError 1e-10 float
GeneralizedParetoFactory-SmallSize 20 unsigned int
Graph-DefaultHeight 480 unsigned int
Graph-DefaultHorizontalMargin 0.05 float
Graph-DefaultLegendFontSize 1 float
Graph-DefaultVerticalMargin 0.05 float
Graph-DefaultWidth 640 unsigned int
Graph-NoSpecifiedLabel ‘ ‘ string
HMatrix-AdmissibilityFactor 2 float
HMatrix-AssemblyEpsilon 0.0001 float
HMatrix-ClusteringAlgorithm median string
HMatrix-CompressionMethod 1 unsigned int
HMatrix-ForceSequential false bool
HMatrix-MaxLeafSize 100 unsigned int
HMatrix-RecompressionEpsilon 0.0001 float
HMatrix-ValidationDump 0 unsigned int
HMatrix-ValidationError 0 float
HMatrix-ValidationRerun 0 unsigned int
HaltonSequence-InitialSeed 1 unsigned int
HaselgroveSequence-InitialSeed 1 unsigned int
HyperbolicAnisotropicEnumerateFunction-DefaultQ 0.4 float
IntervalMesher-UseDiamond false bool
InverseNormalFactory-Method MLE string
IteratedQuadrature-MaximumError 1e-07 float
IteratedQuadrature-MaximumSubIntervals 32 unsigned int
KFactor-DefaultIntegrationNodesNumber 256 unsigned int
KFactor-MaximumIteration 32 unsigned int
KFactor-Precision 1e-08 float
KFold-DefaultK 10 unsigned int
KarhunenLoeveP1Algorithm-RegularizationFactor 0 float
KarhunenLoeveQuadratureAlgorithm-RegularizationFactor 0 float
KarhunenLoeveSVDAlgorithm-Halko2011Iterations 2 unsigned int
KarhunenLoeveSVDAlgorithm-Halko2011Margin 2 unsigned int
KarhunenLoeveSVDAlgorithm-RandomSVDMaximumRank 1000 unsigned int
KarhunenLoeveSVDAlgorithm-RandomSVDVariant Halko2010 string
KarhunenLoeveSVDAlgorithm-UseRandomSVD false bool
KernelMixture-LargeSize 20 unsigned int
KernelMixture-PDFCDFDiscretization 1000 unsigned int
KernelMixture-SmallSize 50 unsigned int
KernelSmoothing-AbsolutePrecision 0 float
KernelSmoothing-BinNumber 1024 unsigned int
KernelSmoothing-CutOffPlugin 5 float
KernelSmoothing-MaximumIteration 50 unsigned int
KernelSmoothing-RelativePrecision 1e-05 float
KernelSmoothing-ResidualPrecision 1e-10 float
KernelSmoothing-SmallSize 250 unsigned int
KrigingAlgorithm-LinearAlgebra LAPACK string
KrigingAlgorithm-MaximalScaling 100000 float
KrigingAlgorithm-StartingScaling 1e-13 float
Last-DefaultMaximumSize 65536 unsigned int
LeastSquaresMetaModelSelection-DecompositionMethod SVD string
LeastSquaresMetaModelSelection-ErrorThreshold 0 float
LeastSquaresMetaModelSelection-MaximumErrorFactor 2 float
LinearCombinationEvaluation-SmallCoefficient 0 float
LinearModelFactory-DefaultLevelValue 0.95 float
LinearModelTest-DefaultDurbinWatsonHypothesis Equal string
LinearModelTest-DefaultHarrisonMcCabeBreakpoint 0.5 float
LinearModelTest-DefaultHarrisonMcCabeSimulationSize 1000 unsigned int
LinearModelTest-DefaultLevel 0.05 float
LogNormal-CharacteristicFunctionIntegrationNodes 256 unsigned int
LogNormal-CharacteristicFunctionSmallSigmaThreshold 0.2 float
LogNormalFactory-AbsolutePrecision 1e-12 float
LogNormalFactory-EstimationMethod 0 unsigned int
LogNormalFactory-MaximumIteration 50 unsigned int
LogNormalFactory-RelativePrecision 1e-12 float
LogNormalFactory-ResidualPrecision 1e-12 float
MCMC-DefaultBurnIn 0 unsigned int
MCMC-DefaultThinning 1 unsigned int
MarginalTransformationEvaluation-DefaultTailThreshold 0.99 float
MarginalTransformationEvaluation-ParametersEpsilon 1e-14 float
MarginalTransformationEvaluation-Simplify true bool
MaternModel-DefaultNu 1.5 float
MaternModel-DefaultTheta 1 float
Matrix-DefaultSmallPivot 1e-07 float
Matrix-SymmetryThreshold 1e-12 float
Matrix-size-visible-in-str-from 5 unsigned int
MaximumEntropyOrderStatisticsDistribution-CDFIntegrationNodesNumber 16 unsigned int
MaximumEntropyOrderStatisticsDistribution-CheckMarginals true bool
MaximumEntropyOrderStatisticsDistribution-ExponentialFactorDiscretization 100 unsigned int
MaximumEntropyOrderStatisticsDistribution-MaximumApproximationSubdivision 2 unsigned int
MaximumEntropyOrderStatisticsDistribution-MaximumQuantileIteration 10 unsigned int
MaximumEntropyOrderStatisticsDistribution-SupportShift 1e-15 float
MaximumEntropyOrderStatisticsDistribution-UseApproximation true bool
MaximumLikelihoodFactory-DefaultOptimizationAlgorithm TNC string
MaximumLikelihoodFactory-MaximumAbsoluteError 1e-10 float
MaximumLikelihoodFactory-MaximumConstraintError 1e-10 float
MaximumLikelihoodFactory-MaximumEvaluationNumber 1000 unsigned int
MaximumLikelihoodFactory-MaximumObjectiveError 1e-10 float
MaximumLikelihoodFactory-MaximumRelativeError 1e-10 float
MeixnerDistribution-CDFDiscretization 10000 unsigned int
MeixnerDistribution-CDFIntegrationNodesNumber 32 unsigned int
MeixnerDistribution-MaximumAbsoluteError 1e-12 float
MeixnerDistribution-MaximumConstraintError 1e-12 float
MeixnerDistribution-MaximumObjectiveError 1e-12 float
MeixnerDistribution-MaximumRelativeError 1e-12 float
Mesh-AmbientFactor 0.1 float
Mesh-BackfaceCulling false bool
Mesh-DiffuseFactor 0.7 float
Mesh-LargeSize 5000 unsigned int
Mesh-Shininess 100 float
Mesh-SpecularFactor 0.2 float
Mesh-VertexEpsilon 1e-06 float
MethodOfMomentsFactory-MaximumAbsoluteError 1e-10 float
MethodOfMomentsFactory-MaximumConstraintError 1e-10 float
MethodOfMomentsFactory-MaximumEvaluationNumber 1000 unsigned int
MethodOfMomentsFactory-MaximumObjectiveError 1e-10 float
MethodOfMomentsFactory-MaximumRelativeError 1e-10 float
Mixture-LargeSize 20 unsigned int
Mixture-PDFCDFDiscretization 1000 unsigned int
Mixture-SmallSize 50 unsigned int
Mixture-SmallWeight 1e-12 float
Multinomial-eta 1e-09 float
Multinomial-smallA 10 float
NegativeBinomialFactory-AbsolutePrecision 1e-12 float
NegativeBinomialFactory-MaximumIteration 50 unsigned int
NegativeBinomialFactory-RelativePrecision 1e-12 float
NegativeBinomialFactory-ResidualPrecision 1e-12 float
NonCenteredFiniteDifferenceGradient-DefaultEpsilon 1e-07 float
NonCentralStudent-CDFAlgo 0 unsigned int
Normal-MarginalIntegrationNodesNumber 16 unsigned int
Normal-MaximumCDFEpsilon 5e-06 float
Normal-MaximumNumberOfPoints 10000000 unsigned int
Normal-MinimumCDFEpsilon 0.05 float
Normal-MinimumNumberOfPoints 100000 unsigned int
Normal-SmallDimension 6 unsigned int
NumericalMathEvaluation-DefaultPointNumber 129 unsigned int
NumericalMathEvaluation-ParameterEpsilon 1e-07 float
OptimizationAlgorithm-DefaultLevelValue 0 float
OptimizationAlgorithm-DefaultMaximumAbsoluteError 1e-05 float
OptimizationAlgorithm-DefaultMaximumConstraintError 1e-05 float
OptimizationAlgorithm-DefaultMaximumEvaluationNumber 100 unsigned int
OptimizationAlgorithm-DefaultMaximumIterationNumber 100 unsigned int
OptimizationAlgorithm-DefaultMaximumRelativeError 1e-05 float
OptimizationAlgorithm-DefaultMaximumResidualError 1e-05 float
OrderStatisticsMarginalChecker-OptimizationEpsilon 1e-07 float
OrderStatisticsMarginalChecker-QuantileIteration 100 unsigned int
Os-RemoveFiles true bool
Os-create-process true bool
Pie-HorizontalMargin 0.3 float
Pie-LabelThreshold 0.02 float
Pie-VerticalMargin 0.1 float
PiecewiseHermiteEvaluation-EpsilonRegular 1e-12 float
PiecewiseLinearEvaluation-EpsilonRegular 1e-12 float
PointToPointEvaluation-BlockSize 256 unsigned int
ProbabilitySimulationResult-CheckPositiveVariance false bool
ProbabilitySimulationResult-DefaultConfidenceLevel 0.95 float
ProductDistribution-LargeCharacteristicFunctionArgument 10 float
R-executable-command /usr/bin/R string
RandomGenerator-InitialSeed 0 unsigned int
RandomMixture-DefaultAlpha 5 float
RandomMixture-DefaultBeta 8.5 float
RandomMixture-DefaultBlockMax 16 unsigned int
RandomMixture-DefaultBlockMin 3 unsigned int
RandomMixture-DefaultCDFEpsilon 1e-10 float
RandomMixture-DefaultMaxSize 65536 unsigned int
RandomMixture-DefaultPDFEpsilon 1e-10 float
RandomMixture-GraphCDFEpsilon 1e-05 float
RandomMixture-GraphPDFEpsilon 1e-05 float
RandomMixture-MarginalIntegrationNodesNumber 128 unsigned int
RandomMixture-MaximumIntegrationNodesNumber 1024 unsigned int
RandomMixture-MaximumSupportSize 2048 unsigned int
RandomMixture-ProjectionDefaultSize 25 unsigned int
RandomMixture-SimplifyAtoms true bool
RandomMixture-SmallSize 100 unsigned int
ReverseHaltonSequence-InitialSeed 1 unsigned int
RiceFactory-AbsolutePrecision 1e-12 float
RiceFactory-MaximumIteration 10 unsigned int
RiceFactory-RelativePrecision 1e-12 float
RiceFactory-ResidualPrecision 1e-12 float
RootStrategy-DefaultMaximumDistance 8 float
RootStrategy-DefaultStepSize 1 float
SQP-DefaultMaximumEvaluationNumber 100000 unsigned int
SQP-DefaultOmega 0.0001 float
SQP-DefaultSmooth 1.2 float
SQP-DefaultTau 0.5 float
Sample-CommentMarkers # string
Sample-PrintEllipsisSize 3 unsigned int
Sample-PrintEllipsisThreshold 1000 unsigned int
Sample-SmallKendallTau 23 unsigned int
SimulationAlgorithm-DefaultBlockSize 1 unsigned int
SimulationAlgorithm-DefaultMaximumCoefficientOfVariation 0.1 float
SimulationAlgorithm-DefaultMaximumOuterSampling 1000 unsigned int
SimulationAlgorithm-DefaultMaximumStandardDeviation 0 float
SimulationSensitivityAnalysis-DefaultSampleMargin 400 unsigned int
SobolIndicesAlgorithm-DefaultBlockSize 1 unsigned int
SobolIndicesAlgorithm-DefaultBootstrapConfidenceLevel 0.95 float
SobolIndicesAlgorithm-DefaultBootstrapSize 100 unsigned int
SobolIndicesAlgorithm-DefaultUseAsymptoticDistribution false bool
SobolIndicesExperiment-SamplingMethod MonteCarlo string
SobolSequence-InitialSeed 1 unsigned int
SobolSimulationAlgorithm-DefaultBatchSize 1 unsigned int
SobolSimulationAlgorithm-DefaultBlockSize 1000 unsigned int
SobolSimulationAlgorithm-DefaultIndexQuantileEpsilon 0.01 float
SobolSimulationAlgorithm-DefaultIndexQuantileLevel 0.05 float
Solver-DefaultAbsoluteError 1e-05 float
Solver-DefaultMaximumFunctionEvaluation 100 unsigned int
Solver-DefaultRelativeError 1e-05 float
Solver-DefaultResidualError 1e-08 float
SparseMethod-ErrorThreshold 0.001 float
SparseMethod-MaximumErrorFactor 2 float
SpecFunc-MaximumIteration 1000 unsigned int
SpecFunc-Precision 2e-16 float
SpectralGaussianProcess-CholeskyCacheSize 16384 unsigned int
SpectralGaussianProcess-MaximalScaling 100000 float
SpectralGaussianProcess-StartingScaling 1e-13 float
SpectralModel-DefaultFrequencyNumber 129 unsigned int
SpectralModel-DefaultMaximumFrequency 5 float
SpectralModel-DefaultMinimumFrequency -5 float
SpectralModel-DefaultPointNumber 129 unsigned int
SpectralModel-DefaultTMax 5 float
SpectralModel-DefaultTMin -5 float
SquaredExponential-DefaultTheta 1 float
StrongMaximumTest-DefaultDeltaPrecision 1e-07 float
StrongMaximumTest-Epsilon 1e-10 float
Student-MarginalIntegrationNodesNumber 16 unsigned int
Student-MaximumCDFEpsilon 5e-06 float
Student-MaximumNumberOfPoints 10000000 unsigned int
Student-MinimumCDFEpsilon 0.05 float
Student-MinimumNumberOfPoints 100000 unsigned int
Student-SmallDimension 6 unsigned int
StudentFactory-NuMax 1000 float
SubsetSampling-DefaultBetaMin 2 float
SubsetSampling-DefaultConditionalProbability 0.1 float
SubsetSampling-DefaultMaximumOuterSampling 10000 unsigned int
SubsetSampling-DefaultProposalRange 2 float
SymbolicParser-Backend ExprTk string
SymbolicParser-CheckResult true bool
TNC-DefaultAccuracy 0.0001 float
TNC-DefaultEta 0.25 float
TNC-DefaultFmin 1 float
TNC-DefaultMaxCGit 50 unsigned int
TNC-DefaultRescale 1.3 float
TNC-DefaultStepmx 10 float
Tensor-size-visible-in-str-from 5 unsigned int
TensorApproximationAlgorithm-DecompositionMethod SVD string
TensorApproximationAlgorithm-DefaultMaximumAlternatingLeastSquaresIteration 100 unsigned int
TensorApproximationAlgorithm-DefaultMaximumRadiusError 1e-05 float
TensorApproximationAlgorithm-DefaultMaximumResidualError 1e-05 float
TensorApproximationAlgorithm-Method GreedyRankOne string
TrapezoidalFactory-MaximumIteration 2000 unsigned int
TrapezoidalFactory-RhoBeg 0.1 float
TrapezoidalFactory-RhoEnd 1e-05 float
TruncatedDistribution-DefaultThresholdRealization 0.5 float
TruncatedNormalFactory-SigmaLowerBound 0.0001 float
UniVariatePolynomial-SmallDegree 400 unsigned int
UserDefined-SmallSize 10000 unsigned int
View-ImageFormat png string
VisualTest-KendallPlot-MonteCarloSize 100 unsigned int
WeightedExperiment-DefaultSize 100 unsigned int
WhittleFactory-DefaultMaxFun 2000 unsigned int
WhittleFactory-DefaultRhoBeg 0.1 float
WhittleFactory-DefaultRhoEnd 1e-10 float
WhittleFactory-DefaultStartingPointScale 1 float
WhittleFactory-RootEpsilon 1e-06 float
XMLStorageManager-DefaultCompressionLevel 0 unsigned int
cache-max-size 1024 unsigned int
csv-file-separator ; string
output-files-timeout 2 unsigned int
parallel-threads 2 unsigned int
temporary-directory /tmp string

Examples

Get some keys:

>>> import openturns as ot
>>> for key in ot.ResourceMap.GetKeys()[:4]:
...     print(key)
ARMA-MeanEpsilon
ARMALikelihoodFactory-DefaultMaxFun
ARMALikelihoodFactory-DefaultRhoBeg
ARMALikelihoodFactory-DefaultRhoEnd

Methods

Get(key) Access a parameter.
GetAsBool(key) Access a boolean parameter.
GetAsScalar(key) Access a floating-point parameter.
GetAsString(key) Access a parameter.
GetAsUnsignedInteger(key) Access an integer parameter.
GetBoolKeys() Get the bool keys of the ResourceMap.
GetBoolSize() Get the size of the bool map in ResourceMap.
GetKeys() Get the keys of the ResourceMap.
GetScalarKeys() Get the float keys of the ResourceMap.
GetScalarSize() Get the size of the float map in ResourceMap.
GetSize() Get the size of the ResourceMap.
GetStringKeys() Get the string keys of the ResourceMap.
GetStringSize() Get the size of the string map in ResourceMap.
GetType(key) Access the type of a parameter.
GetUnsignedIntegerKeys() Get the unsigned integer keys of the ResourceMap.
GetUnsignedIntegerSize() Get the size of the unsigned integer map in ResourceMap.
Set(key, value) Access a parameter.
SetAsBool(key, value) Access a boolean parameter.
SetAsScalar(key, value) Access a floating-point parameter.
SetAsString(key, value) Access a parameter.
SetAsUnsignedInteger(key, value) Access an integer parameter.
__init__(*args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

static Get(key)

Access a parameter.

Parameters:
key : str

An identifier associated to the parameter.

Returns:
value : str

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.Get('WeightedExperiment-DefaultSize')
'100'
static GetAsBool(key)

Access a boolean parameter.

Parameters:
key : str

An identifier associated to the parameter.

Returns:
value : bool

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals')
True
static GetAsScalar(key)

Access a floating-point parameter.

Parameters:
key : str

An identifier associated to the parameter.

Returns:
value : float

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetAsScalar('SQP-DefaultTau')
0.5
static GetAsString(key)

Access a parameter.

Parameters:
key : str

An identifier associated to the parameter.

Returns:
value : str

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.Get('WeightedExperiment-DefaultSize')
'100'
static GetAsUnsignedInteger(key)

Access an integer parameter.

Parameters:
key : str

An identifier associated to the parameter.

Returns:
value : int

The value associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetAsUnsignedInteger('MCMC-DefaultBurnIn')
0...
static GetBoolKeys()

Get the bool keys of the ResourceMap.

Returns:
keys : tuple of str

The list of bool identifiers.

static GetBoolSize()

Get the size of the bool map in ResourceMap.

Returns:
size : positive int

The number of bool constants defined in the ResourceMap.

static GetKeys()

Get the keys of the ResourceMap.

Returns:
keys : tuple of str

The list of identifiers.

static GetScalarKeys()

Get the float keys of the ResourceMap.

Returns:
keys : tuple of str

The list of float identifiers.

static GetScalarSize()

Get the size of the float map in ResourceMap.

Returns:
size : positive int

The number of float constants defined in the ResourceMap.

static GetSize()

Get the size of the ResourceMap.

Returns:
size : positive int

The number of constants defined in the ResourceMap.

static GetStringKeys()

Get the string keys of the ResourceMap.

Returns:
keys : tuple of str

The list of string identifiers.

static GetStringSize()

Get the size of the string map in ResourceMap.

Returns:
size : positive int

The number of string constants defined in the ResourceMap.

static GetType(key)

Access the type of a parameter.

Parameters:
key : str

An identifier associated to the parameter.

Returns:
type : str

The type associated to that key.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.GetType('DiscreteDistribution-SupportEpsilon')
'float'
static GetUnsignedIntegerKeys()

Get the unsigned integer keys of the ResourceMap.

Returns:
keys : tuple of str

The list of unsigned integer identifiers.

static GetUnsignedIntegerSize()

Get the size of the unsigned integer map in ResourceMap.

Returns:
size : positive int

The number of unsigned integer constants defined in the ResourceMap.

static Set(key, value)

Access a parameter.

Parameters:
key : str

An identifier associated to the parameter.

value : str

The value associated to that key. If the key already exists as a float, an unsigned int or a bool, the given string is converted into the corresponding type.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.Set('DiscreteDistribution-SupportEpsilon', '1.0e-14')
static SetAsBool(key, value)

Access a boolean parameter.

Parameters:
key : str

An identifier associated to the parameter.

value : bool

The value associated to that key. The key is added to the bool map even if it already exists in another map (float, unsigned int or string).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals', True)
static SetAsScalar(key, value)

Access a floating-point parameter.

Parameters:
key : str

An identifier associated to the parameter.

value : float

The value associated to that key. The key is added to the float map even if it already exists in another map (string, unsigned int or bool).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsScalar('SQP-DefaultTau', 0.5)
static SetAsString(key, value)

Access a parameter.

Parameters:
key : str

An identifier associated to the parameter.

value : str

The value associated to that key. The key is added to the string map even if it already exists in another map (float, unsigned int or bool).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsString('View-ImageFormat', 'png')
static SetAsUnsignedInteger(key, value)

Access an integer parameter.

Parameters:
key : str

An identifier associated to the parameter.

value : int

The value associated to that key. The key is added to the unsigned integer map even if it already exists in another map (float, string or bool).

Examples

>>> import openturns as ot
>>> ot.ResourceMap.SetAsUnsignedInteger('MCMC-DefaultBurnIn', 0)