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-DefaultMaximumEvaluationNumber	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-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-DefaultMaximumEvaluationNumber	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-14	float
CompositeDistribution-StepNumber	256	unsigned int
ConditionalDistribution-ContinuousDiscretizationMethod	GaussProduct	string
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
CovarianceModel-DefaultPointNumber	129	unsigned int
CovarianceModel-DefaultTMax	5	float
CovarianceModel-DefaultTMin	-5	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
DiscreteCompoundDistribution-DefaultEpsilon	1e-12	float
DiscreteDistribution-SupportEpsilon	1e-14	float
DiscreteMarkovChain-DOTArcColor	black	string
DiscreteMarkovChain-DOTLayout	dot	string
DiscreteMarkovChain-DOTNodeColor	black	string
DiscreteMarkovChain-DOTNodeShape	oval	string
DiscreteMarkovChain-ProbabilitySumPrecision	1e-06	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-DiscreteDrawPDFScaling	0.25	float
Distribution-EntropySamplingMethod	MonteCarlo	string
Distribution-EntropySamplingSize	524288	unsigned int
Distribution-MinimumVolumeLevelSetBySampling	false	bool
Distribution-MinimumVolumeLevelSetSamplingSize	16384	unsigned int
Distribution-Parallel	true	bool
Distribution-QMax	0.85	float
Distribution-QMin	0.15	float
Distribution-RoughnessSamplingMethod	MonteCarlo	string
Distribution-RoughnessSamplingSize	524288	unsigned int
Distribution-ScaleColorsDiscretePDF	true	bool
Distribution-ShowSupportDiscretePDF	true	bool
Distribution-SmallDimensionEntropy	3	unsigned int
Distribution-SmallDimensionRoughness	3	unsigned int
Distribution-UseCovarianceAdaptiveAlgorithm	true	bool
DistributionFactory-BootstrapErrorTolerance	0.1	float
DistributionFactory-DefaultBootstrapSize	100	unsigned int
Dlib-DefaultInitialTrustRegionRadius	1	float
Dlib-DefaultMaxLineSearchIterations	100	unsigned int
Dlib-DefaultMaxSize	10	unsigned int
Dlib-DefaultWolfeRho	0.01	float
Dlib-DefaultWolfeSigma	0.9	float
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-DefaultPaletteName	Tableau	string
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	0	float
EfficientGlobalOptimization-DefaultMultiStartExperimentSize	100	unsigned int
EfficientGlobalOptimization-DefaultMultiStartNumber	20	unsigned int
EfficientGlobalOptimization-DefaultParameterEstimationPeriod	1	unsigned int
EnclosingSimplexAlgorithm-LargeDimension	5	unsigned int
Evaluation-DefaultPointNumber	129	unsigned int
Evaluation-ParameterEpsilon	1e-07	float
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
Fehlberg-MinimalStep	1e-07	float
FejerAlgorithm-DefaultMarginalIntegrationPointsNumber	64	unsigned int
Field-ArrowRatio	0.01	float
Field-ArrowScaling	1	float
Field-AutomaticScaling	true	bool
Field-LevelNumber	30	unsigned int
FieldToPointConnection-BlockSize	256	unsigned int
FisherSnedecorFactory-D1LowerBound	0.01	float
FisherSnedecorFactory-D2LowerBound	0.01	float
FittingTest-ChiSquaredCheckSample	true	bool
FittingTest-ChiSquaredMinimumBinCount	5	unsigned int
FittingTest-LillieforsMaximumSamplingSize	100000	unsigned int
FittingTest-LillieforsMinimumSamplingSize	10	unsigned int
FittingTest-LillieforsPrecision	0.01	float
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-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
GaussianLinearCalibration-Method	QR	string
GaussianNonLinearCalibration-BootstrapSize	100	unsigned int
GaussianNonLinearCalibration-MultiStartSize	100	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-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	100	float
HMatrix-AssemblyEpsilon	0.0001	float
HMatrix-ClusteringAlgorithm	median	string
HMatrix-CompressionMethod	AcaRandom	string
HMatrix-FactorizationIterations	10	unsigned int
HMatrix-ForceSequential	false	bool
HMatrix-LargestEigenValueIterations	10	unsigned int
HMatrix-LargestEigenValueRelativeError	0.1	float
HMatrix-MaxLeafSize	250	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
KFoldSplitter-Randomize	false	bool
KarhunenLoeveP1Algorithm-CovarianceMatrixStorage	DENSE	string
KarhunenLoeveP1Algorithm-EigenvaluesSolver	LAPACK	string
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-MaximumError	0.5	float
LeastSquaresMetaModelSelection-MaximumErrorFactor	2	float
LinearCombinationEvaluation-SmallCoefficient	0	float
LinearLeastSquaresCalibration-Method	QR	string
LinearLeastSquaresCalibration-Regularization	1e-12	float
LinearModelAlgorithm-DecompositionMethod	QR	string
LinearModelAnalysis-Identifiers	3	unsigned int
LinearModelStepwiseAlgorithm-MaximumIterationNumber	1000	unsigned int
LinearModelStepwiseAlgorithm-Penalty	2	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-LargestEigenValueIterations	50	unsigned int
Matrix-LargestEigenValueRelativeError	0.0001	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	false	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-CheckValidity	false	bool
Mesh-CoordinateEpsilon	1e-14	float
Mesh-DiffuseFactor	0.7	float
Mesh-LargeSize	5000	unsigned int
Mesh-Shininess	100	float
Mesh-SpecularFactor	0.2	float
Mesh-VertexEpsilon	1e-06	float
MetaModelAlgorithm-ModelSelectionCriterion	BIC	string
MetaModelAlgorithm-NonParametricModel	Histogram	string
MetaModelAlgorithm-PValueThreshold	0.001	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
MultiFORM-DefaultDelta	0.75	float
MultiFORM-DefaultGamma	1.1	float
MultiFORM-DefaultMaximumNumberOfDesignPoints	4	unsigned int
MultiStart-KeepResults	true	bool
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
NonLinearLeastSquaresCalibration-BootstrapSize	100	unsigned int
NonLinearLeastSquaresCalibration-MultiStartSize	100	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
OptimizationAlgorithm-DefaultLevelValue	0	float
OptimizationAlgorithm-DefaultMaximumAbsoluteError	1e-05	float
OptimizationAlgorithm-DefaultMaximumConstraintError	1e-05	float
OptimizationAlgorithm-DefaultMaximumEvaluationNumber	1000	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
ParetoFactory-AlphaUpperBound	1000	float
PenalizedLeastSquaresAlgorithm-UseNormal	false	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/sbin/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-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	0	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
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
SystemFORM-MaximalScaling	100000	float
SystemFORM-StartingScaling	1e-13	float
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
Text-DefaultTextSize	0.75	float
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
VonMisesFactory-AbsolutePrecision	1e-12	float
VonMisesFactory-MaximumIteration	10	unsigned int
VonMisesFactory-RelativePrecision	1e-12	float
VonMisesFactory-ResidualPrecision	1e-12	float
WeightedExperiment-DefaultSize	100	unsigned int
WhittleFactory-DefaultMaximumEvaluationNumber	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	36	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-DefaultMaximumEvaluationNumber
ARMALikelihoodFactory-DefaultRhoBeg
ARMALikelihoodFactory-DefaultRhoEnd

Methods

AddAsBool(key, value)	Add a new boolean parameter.
AddAsScalar(key, value)	Add a new floating-point parameter.
AddAsString(key, value)	Add a new string parameter.
AddAsUnsignedInteger(key, value)	Add a new integer parameter.
FindKeys(substr)	Find keys matching a pattern.
Get(key)	Access a parameter.
GetAsBool(key)	Access a boolean parameter.
GetAsScalar(key)	Access a floating-point parameter.
GetAsString(key)	Access a string 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.
HasKey(key)	Check if an entry exists.
Reload()	Reload the configuration.
RemoveKey(key)	Remove an entry.
Set(key, value)	Access an existing parameter.
SetAsBool(key, value)	Set an existing boolean parameter.
SetAsScalar(key, value)	Set an existing floating-point parameter.
SetAsString(key, value)	Set an existing string parameter.
SetAsUnsignedInteger(key, value)	Set an existing integer parameter.

__init__(*args, **kwargs)

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

static AddAsBool(key, value)

Add a new boolean parameter.

Parameters

keystr

An identifier associated to the parameter.

valuebool

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.AddAsBool('MaximumEntropyOrderStatisticsDistribution-CheckMarginals2', True)
>>> ot.ResourceMap.RemoveKey('MaximumEntropyOrderStatisticsDistribution-CheckMarginals2')

static AddAsScalar(key, value)

Add a new floating-point parameter.

Parameters

keystr

An identifier associated to the parameter.

valuefloat

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.AddAsScalar('SQP-DefaultTau2', 0.5)
>>> ot.ResourceMap.RemoveKey('SQP-DefaultTau2')

static AddAsString(key, value)

Add a new string parameter.

Parameters

keystr

An identifier associated to the parameter.

valuestr

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.AddAsString('View-ImageFormat2', 'png')
>>> ot.ResourceMap.RemoveKey('View-ImageFormat2')

static AddAsUnsignedInteger(key, value)

Add a new integer parameter.

Parameters

keystr

An identifier associated to the parameter.

valueint

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.AddAsUnsignedInteger('MCMC-DefaultBurnIn2', 0)
>>> ot.ResourceMap.RemoveKey('MCMC-DefaultBurnIn2')

static FindKeys(substr)

Find keys matching a pattern.

Parameters

substrstr

A pattern to search.

Returns

valuesequence of str

The keys matching the pattern.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.FindKeys('Multinomial')
('Multinomial-eta', 'Multinomial-smallA')

static Get(key)

Access a parameter.

Parameters

keystr

An identifier associated to the parameter.

Returns

valuestr

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

keystr

An identifier associated to the parameter.

Returns

valuebool

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

keystr

An identifier associated to the parameter.

Returns

valuefloat

The value associated to that key.

Examples

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

static GetAsString(key)

Access a string parameter.

Parameters

keystr

An identifier associated to the parameter.

Returns

valuestr

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

keystr

An identifier associated to the parameter.

Returns

valueint

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

keystuple of str

The list of bool identifiers.

static GetBoolSize()

Get the size of the bool map in ResourceMap.

Returns

sizepositive int

The number of bool constants defined in the ResourceMap.

static GetKeys()

Get the keys of the ResourceMap.

Returns

keystuple of str

The list of identifiers.

static GetScalarKeys()

Get the float keys of the ResourceMap.

Returns

keystuple of str

The list of float identifiers.

static GetScalarSize()

Get the size of the float map in ResourceMap.

Returns

sizepositive int

The number of float constants defined in the ResourceMap.

static GetSize()

Get the size of the ResourceMap.

Returns

sizepositive int

The number of constants defined in the ResourceMap.

static GetStringKeys()

Get the string keys of the ResourceMap.

Returns

keystuple of str

The list of string identifiers.

static GetStringSize()

Get the size of the string map in ResourceMap.

Returns

sizepositive int

The number of string constants defined in the ResourceMap.

static GetType(key)

Access the type of a parameter.

Parameters

keystr

An identifier associated to the parameter.

Returns

typestr

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

keystuple of str

The list of unsigned integer identifiers.

static GetUnsignedIntegerSize()

Get the size of the unsigned integer map in ResourceMap.

Returns

sizepositive int

The number of unsigned integer constants defined in the ResourceMap.

static HasKey(key)

Check if an entry exists.

Parameters

keystr

An identifier associated to the parameter.

Returns

has_keybool

Whether an entry with that key exists.

static Reload()

Reload the configuration.

Reverts the values of the default keys and erases new keys.

static RemoveKey(key)

Remove an entry.

Parameters

keystr

An identifier associated to the parameter.

Examples

>>> import openturns as ot
>>> ot.ResourceMap.AddAsString('dummy_key', 'key_to_be_removed')
>>> ot.ResourceMap.RemoveKey('dummy_key')

static Set(key, value)

Access an existing parameter.

Parameters

keystr

An identifier associated to the parameter.

valuestr

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)

Set an existing boolean parameter.

Parameters

keystr

An identifier associated to the parameter.

valuebool

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)

Set an existing floating-point parameter.

Parameters

keystr

An identifier associated to the parameter.

valuefloat

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)

Set an existing string parameter.

Parameters

keystr

An identifier associated to the parameter.

valuestr

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)

Set an existing integer parameter.

Parameters

keystr

An identifier associated to the parameter.

valueint

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)