--- /dev/null
+# -*- coding: utf-8 -*-
+
+# --------------------------------------------------
+# debut entete
+# --------------------------------------------------
+
+import Accas
+from Accas import *
+
+class loi ( ASSD ) : pass
+
+
+#CONTEXT.debug = 1
+JdC = JDC_CATA ( code = 'OPENTURNS_STUDY',
+ execmodul = None,
+ regles = ( AU_MOINS_UN ( 'CRITERIA' ), AU_MOINS_UN ( 'MODEL' ), ),
+ ) # Fin JDC_CATA
+
+# --------------------------------------------------
+# fin entete
+# --------------------------------------------------
+
+LOG = PROC ( nom = "LOG",
+ op = None,
+ docu = "",
+
+ DebugMessages = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ fr = "Affichage du niveau de debug de la bibliotheque Open TURNS",
+ ang = "Open TURNS library debug level print",
+ ),
+
+ WrapperMessages = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ fr = "Affichage du niveau de wrapper de la bibliotheque Open TURNS",
+ ang = "Open TURNS library debug level print",
+ ),
+
+ UserMessages = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ fr = "Affichage du niveau de user de la bibliotheque Open TURNS",
+ ang = "Open TURNS library user level print",
+ ),
+
+ InfoMessages = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ fr = "Affichage du niveau de info de la bibliotheque Open TURNS",
+ ang = "Open TURNS library info level print",
+ ),
+
+ WarningMessages = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ fr = "Affichage du niveau de warning de la bibliotheque Open TURNS",
+ ang = "Open TURNS library warning level print",
+ ),
+
+ ErrorMessages = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ fr = "Affichage du niveau de error de la bibliotheque Open TURNS",
+ ang = "Open TURNS library error level print",
+ ),
+
+) # Fin PROC LOG
+
+
+
+
+#================================
+# 0. Definition du modele physique
+#================================
+
+MODEL = PROC ( nom = "MODEL",
+ op = None,
+ docu = "",
+
+ Name = SIMP ( statut = "o",
+ typ = "TXM",
+ fr = "Nom du modele physique",
+ ang = "Physical model identifier",
+ ),
+
+) # Fin PROC MODEL
+
+
+
+
+
+
+#================================
+# 1. Definition des LOIS
+#================================
+
+# Nota : les variables de type OPER doivent etre en majuscules !
+# Nota : les variables de type OPER doivent etre de premier niveau (pas imbriquees dans un autre type)
+DISTRIBUTION = OPER ( nom = "DISTRIBUTION",
+ sd_prod = loi,
+ op = 68,
+ fr = "Definitions des lois marginales utilisees par les variables d'entree",
+
+
+#====
+# Type de distribution
+#====
+
+ Kind = SIMP ( statut = "o", typ = "TXM",
+ into = ( "Beta",
+ "Exponential",
+ "Gamma",
+ "Geometric",
+ "Gumbel",
+ "Histogram",
+ "Logistic",
+ "LogNormal",
+ "MultiNomial",
+ "Normal",
+ "TruncatedNormal",
+ "Poisson",
+ "Student",
+ "Triangular",
+ "Uniform",
+ "UserDefined",
+ "Weibull",
+ ),
+ fr = "Choix du type de la loi marginale",
+ ang = "1D marginal distribution",
+ ),
+
+#====
+# Definition des parametres selon le type de la loi
+#====
+
+ BETA = BLOC ( condition = " Kind in ( 'Beta', ) ",
+
+ Settings = SIMP ( statut = "o",
+ typ = "TXM",
+ max = 1,
+ into = ( "RT", "MuSigma" ),
+ defaut = "RT",
+ fr = "Parametrage de la loi beta",
+ ang = "Beta distribution parameter set",
+ ),
+
+ RT_Parameters = BLOC ( condition = " Settings in ( 'RT', ) ",
+
+ R = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre R de la loi",
+ ang = "R parameter",
+ ),
+
+ # T > R
+ T = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre T de la loi | T > R",
+ ang = "T parameter | T > R",
+ ),
+
+ ), # Fin BLOC RT_Parameters
+
+
+ MuSigma_Parameters = BLOC ( condition = " Settings in ( 'MuSigma', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ Sigma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Sigma de la loi | Sigma > 0",
+ ang = "Sigma parameter | Sigma > 0",
+ ),
+
+ ), # Fin BLOC MuSigma_Parameters
+
+
+ A = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre A de la loi",
+ ang = "A parameter",
+ ),
+
+ # B > A
+ B = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre B de la loi | B > A",
+ ang = "B parameter | B > A",
+ ),
+
+ ), # Fin BLOC BETA
+
+
+
+ EXPONENTIAL = BLOC ( condition = " Kind in ( 'Exponential', ) ",
+
+ Lambda = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Lambda | Lambda > 0",
+ ang = "Lambda parameter | Lambda > 0",
+ ),
+
+ Gamma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Gamma",
+ ang = "Gamma parameter",
+ ),
+
+ ), # Fin BLOC EXPONENTIAL
+
+
+
+ GAMMA = BLOC ( condition = " Kind in ( 'Gamma', ) ",
+
+ Settings = SIMP ( statut = "o",
+ typ = "TXM",
+ max = 1,
+ into = ( "KLambda", "MuSigma" ),
+ defaut = "KLambda",
+ fr = "Parametrage de la loi gamma",
+ ang = "Gamma distribution parameter set",
+ ),
+
+ KLambda_Parameters = BLOC ( condition = " Settings in ( 'KLambda', ) ",
+
+ K = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre K de la loi | K > 0",
+ ang = "K parameter | K > 0",
+ ),
+
+ Lambda = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Lambda de la loi | Lambda > 0",
+ ang = "Lambda parameter | Lambda > 0",
+ ),
+
+ ), # Fin BLOC KLambda_Parameters
+
+
+ MuSigma_Parameters = BLOC ( condition = " Settings in ( 'MuSigma', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ defaut = 0.0,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ Sigma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ defaut = 1.0,
+ val_min = 0.,
+ fr = "Parametre Sigma de la loi | Sigma > 0",
+ ang = "Sigma parameter | Sigma > 0",
+ ),
+
+ ), # Fin BLOC MuSigma_Parameters
+
+ Gamma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Gamma",
+ ang = "Gamma parameter",
+ ),
+
+
+ ), # Fin BLOC GAMMA
+
+
+
+ GEOMETRIC = BLOC ( condition = " Kind in ( 'Geometric', ) ",
+
+ P = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ val_max = 1.,
+ fr = "Parametre P | 0 < P < 1",
+ ang = "P parameter | 0 < P < 1",
+ ),
+
+ ), # Fin BLOC GEOMETRIC
+
+
+
+ GUMBEL = BLOC ( condition = " Kind in ( 'Gumbel', ) ",
+
+ Settings = SIMP ( statut = "o",
+ typ = "TXM",
+ max = 1,
+ into = ( "AlphaBeta", "MuSigma" ),
+ defaut = "AlphaBeta",
+ fr = "Parametrage de la loi gumbel",
+ ang = "Gumbel distribution parameter set",
+ ),
+
+ AlphaBeta_Parameters = BLOC ( condition = " Settings in ( 'AlphaBeta', ) ",
+
+ Alpha = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Alpha de la loi | Alpha > 0",
+ ang = "Alpha parameter | Alpha > 0",
+ ),
+
+ Beta = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Beta de la loi",
+ ang = "Beta parameter",
+ ),
+
+ ), # Fin BLOC AlphaBeta_Parameters
+
+
+ MuSigma_Parameters = BLOC ( condition = " Settings in ( 'MuSigma', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ Sigma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Sigma de la loi | Sigma > 0",
+ ang = "Sigma parameter | Sigma > 0",
+ ),
+
+ ), # Fin BLOC MuSigma_Parameters
+
+ ), # Fin BLOC GUMBEL
+
+
+
+ HISTOGRAM = BLOC ( condition = " Kind in ( 'Histogram', ) ",
+
+ Sup = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne superieure de la distribution",
+ ang = "Upper bound",
+ ),
+
+ # Il faut definir une collection de couples ( x,p )
+ Values = SIMP ( statut = 'o',
+ typ = 'R',
+ max = '**',
+ ),
+
+ ), # Fin BLOC HISTOGRAM
+
+
+
+ LOGNORMAL = BLOC ( condition = " Kind in ( 'LogNormal', ) ",
+
+ Settings = SIMP ( statut = "o",
+ typ = "TXM",
+ max = 1,
+ into = ( "MuSigmaLog", "MuSigma", "MuSigmaOverMu" ),
+ defaut = "MuSigmaLog",
+ fr = "Parametrage de la loi lognormale",
+ ang = "Lognormal distribution parameter set",
+ ),
+
+ MuSigma_Parameters = BLOC ( condition = " Settings in ( 'MuSigma', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi | Mu > Gamma",
+ ang = "Mu parameter | Mu > Gamma",
+ ),
+
+ Sigma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Sigma de la loi | Sigma > 0",
+ ang = "Sigma parameter | Sigma > 0",
+ ),
+
+ ), # Fin BLOC MuSigma_Parameters
+
+ MuSigmaOverMu_Parameters = BLOC ( condition = " Settings in ( 'MuSigmaOverMu', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi | Mu > Gamma",
+ ang = "Mu parameter | Mu > Gamma",
+ ),
+
+ SigmaOverMu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre SigmaOverMu de la loi | SigmaOverMu > 0",
+ ang = "SigmaOverMu parameter | SigmaOverMu > 0",
+ ),
+
+ ), # Fin BLOC MuSigmaOverMu_Parameters
+
+ MuSigmaLog_Parameters = BLOC ( condition = " Settings in ( 'MuSigmaLog', ) ",
+
+ MuLog = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu log de la loi",
+ ang = "Mu log parameter",
+ ),
+
+ SigmaLog = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Sigma log de la loi | SigmaLog > 0",
+ ang = "Sigma log parameter | SigmaLog > 0",
+ ),
+
+ ), # Fin BLOC MuSigmaLog_Parameters
+
+ Gamma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Gamma",
+ ang = "Gamma parameter",
+ ),
+
+ ), # Fin BLOC LOGNORMAL
+
+
+
+ LOGISTIC = BLOC ( condition = " Kind in ( 'Logistic', ) ",
+
+ Alpha = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Alpha de la loi",
+ ang = "Alpha parameter",
+ ),
+
+ Beta = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Beta de la loi | Beta > = 0",
+ ang = "Beta parameter | Beta > = 0",
+ ),
+
+ ), # Fin BLOC LOGISTIC
+
+
+
+ MULTINOMIAL = BLOC ( condition = " Kind in ( 'MultiNomial', ) ",
+
+ N = SIMP ( statut = "o",
+ typ = "I",
+ max = 1,
+ fr = "Dimension de la loi",
+ ang = "Distribution dimension",
+ ),
+
+ # Il faut un vecteur P de taille N
+ Values = SIMP ( statut = 'o',
+ typ = 'R',
+ max = '**',
+ ),
+
+ ), # Fin BLOC MULTINOMIAL
+
+
+
+ NORMAL = BLOC ( condition = " Kind in ( 'Normal', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ Sigma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Sigma de la loi | Sigma > 0",
+ ang = "Sigma parameter | Sigma > 0",
+ ),
+
+ ), # Fin BLOC NORMAL
+
+
+
+ POISSON = BLOC ( condition = " Kind in ( 'Poisson', ) ",
+
+ Lambda = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Lambda de la loi | Lambda > 0",
+ ang = "Lambda parameter | Lambda > 0",
+ ),
+
+ ), # Fin BLOC POISSON
+
+
+
+ STUDENT = BLOC ( condition = " Kind in ( 'Student', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ Nu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 2.,
+ fr = "Parametre Nu de la loi | V > = 2",
+ ang = "Nu parameter | V > = 2",
+ ),
+
+ ), # Fin BLOC STUDENT
+
+
+
+ TRIANGULAR = BLOC ( condition = " Kind in ( 'Triangular', ) ",
+
+ A = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne inferieure de la loi | A < = M < = B",
+ ang = "Lower bound | A < = M < = B",
+ ),
+
+ M = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Mode de la loi | A < = M < = B",
+ ang = "Mode | A < = M < = B",
+ ),
+
+ B = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne superieure de la loi | A < = M < = B",
+ ang = "Upper bound | A < = M < = B",
+ ),
+
+ ), # Fin BLOC TRIANGULAR
+
+
+
+ TRUNCATEDNORMAL = BLOC ( condition = " Kind in ( 'TruncatedNormal', ) ",
+
+ MuN = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ SigmaN = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre SigmaN de la loi | SigmaN > 0",
+ ang = "SigmaN parameter | SigmaN> 0",
+ ),
+
+ A = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne inferieure de la loi | A < = B",
+ ang = "Lower bound | A < = B",
+ ),
+
+ B = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne superieure de la loi | A < = B",
+ ang = "Upper bound | A < = B",
+ ),
+
+ ), # Fin BLOC TRUNCATEDNORMAL
+
+
+
+ UNIFORM = BLOC ( condition = " Kind in ( 'Uniform', ) ",
+
+ A = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne inferieure de la loi | A < = B",
+ ang = "Lower bound | A < = B",
+ ),
+
+ B = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Borne superieure de la loi | A < = B",
+ ang = "Upper bound | A < = B",
+ ),
+
+ ), # Fin BLOC UNIFORM
+
+
+
+ USERDEFINED = BLOC ( condition = " Kind in ( 'UserDefined', ) ",
+
+ # Il faut definir une collection de couples ( x,p )
+ Values = SIMP ( statut = 'o',
+ typ = 'R',
+ max = '**',
+ ),
+
+ ), # Fin BLOC USERDEFINED
+
+
+
+ WEIBULL = BLOC ( condition = " Kind in ( 'Weibull', ) ",
+
+ Settings = SIMP ( statut = "o",
+ typ = "TXM",
+ max = 1,
+ into = ( "AlphaBeta", "MuSigma" ),
+ defaut = "AlphaBeta",
+ fr = "Parametrage de la loi weibull",
+ ang = "Weibull distribution parameter set",
+ ),
+
+ AlphaBeta_Parameters = BLOC ( condition = " Settings in ( 'AlphaBeta', ) ",
+
+ Alpha = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Alpha de la loi | Alpha > 0",
+ ang = "Alpha parameter | Alpha > 0",
+ ),
+
+ Beta = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Beta de la loi | Beta > 0",
+ ang = "Beta parameter | Beta > 0",
+ ),
+
+ ), # Fin BLOC AlphaBeta_Parameters
+
+
+ MuSigma_Parameters = BLOC ( condition = " Settings in ( 'MuSigma', ) ",
+
+ Mu = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Mu de la loi",
+ ang = "Mu parameter",
+ ),
+
+ Sigma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ val_min = 0.,
+ fr = "Parametre Sigma de la loi | Sigma > 0",
+ ang = "Sigma parameter | Sigma > 0",
+ ),
+
+ ), # Fin BLOC MuSigma_Parameters
+
+ Gamma = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Parametre Gamma",
+ ang = "Gamma parameter",
+ ),
+
+ ), # Fin BLOC WEIBULL
+
+) # Fin OPER DISTRIBUTION
+
+
+
+
+
+
+#================================
+# 3. Definition de l'etude
+#================================
+
+# Nota : les variables de type PROC doivent etre en majuscules !
+CRITERIA = PROC ( nom = "CRITERIA",
+ op = None,
+ docu = "",
+ fr = "Mise en donnee pour le fichier de configuration de OPENTURNS.",
+ ang = "Writes the configuration file for OPENTURNS.",
+
+
+
+ Type = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Min/Max", "Central Uncertainty", "Threshold Exceedence" ),
+ fr = "Type d'Analyse",
+ ang = "Analysis",
+ ),
+
+
+
+
+
+
+
+ MinMax = BLOC ( condition = " Type in ( 'Min/Max', ) ",
+
+ Method = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Experiment Plane", "Random Sampling" ),
+ fr = "Methode",
+ ang = "Method",
+ ),
+ # UC 3.1.1
+ ExperimentPlaneSettings = BLOC ( condition = " Method in ( 'Experiment Plane', ) ",
+
+ ExperimentPlane = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Axial", "Factorial", "Composite", ),
+ fr = "Methode",
+ ang = "Method",
+ ),
+
+ Levels = SIMP ( statut = "o",
+ typ = "R",
+ val_min = 0.0,
+ max = '**',
+ fr = "Nombre de niveaux dans chaque direction",
+ ang = "Levels in each direction",
+ ),
+
+ # Scaled Vector
+ UnitsPerDimension = SIMP ( statut = "o",
+ typ = "R",
+ max = '**',
+ fr = "Unite par dimension (autant que de variables declarees)",
+ ang = "Units per dimension (as much as declared variables)",
+ ),
+
+ # Translation Vector
+ Center = SIMP ( statut = "o",
+ typ = "R",
+ max = '**',
+ fr = "Unite par dimension",
+ ang = "Units per dimension",
+ ),
+
+ ), # Fin BLOC ExperimentPlaneSettings
+
+
+
+ RandomSamplingSettings = BLOC ( condition = " Method in ( 'Random Sampling', ) ",
+
+ PointsNumber = SIMP ( statut = "o",
+ typ = "I",
+ val_min = 1,
+ fr = "Nombre de points",
+ ang = "Points number",
+ ),
+
+ ), # Fin BLOC RandomSamplingSettings
+
+ Result = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Min/Max", ),
+ defaut = "Min/Max",
+ fr = "Le minimum et le maximum",
+ ang = "The min and max values",
+ ),
+
+
+ ), # Fin BLOC MinMax
+
+
+
+
+ CentralUncertainty = BLOC ( condition = " Type in ( 'Central Uncertainty', ) ",
+
+ Method = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Taylor Variance Decomposition", "Random Sampling" ),
+ fr = "Methode",
+ ang = "Method",
+ ),
+
+ # UC 3.2.
+ TaylorVarianceDecompositionSettings = BLOC ( condition = " Method in ( 'Taylor Variance Decomposition', ) ",
+
+ Result = FACT ( statut = "o",
+ min = 1,
+ max = "**",
+
+ MeanFirstOrder = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Moyenne au premier ordre",
+ ang = "MeanFirstOrder",
+ ),
+
+ StandardDeviationFirstOrder = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Ecart-type au premier ordre",
+ ang = "StandardDeviationFirstOrder",
+ ),
+
+ MeanSecondOrder = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Moyenne au second ordre",
+ ang = "MeanSecondOrder",
+ ),
+
+ ImportanceFactor = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Facteur d'importance pour variable de sortie scalaire",
+ ang = "ImportanceFactor",
+ ),
+
+ ImportanceFactorSettings = BLOC ( condition = " ImportanceFactor in ( 'yes', ) ",
+
+ NumericalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Resultats numeriques",
+ ang = "NumericalResults",
+ ),
+
+ GraphicalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Resultats graphiques",
+ ang = "GraphicalResults",
+ ),
+
+ ), # Fin BLOC ImportanceFactorSettings
+
+ ), # Fin FACT Result
+
+ ), # Fin BLOC TaylorVarianceDecompositionSettings
+
+
+
+ RandomSamplingSettings = BLOC ( condition = " Method in ( 'Random Sampling', ) ",
+
+ PointsNumber = SIMP ( statut = "o",
+ typ = "I",
+ val_min = 1,
+ fr = "Nombre de points",
+ ang = "Points number",
+ ),
+
+ Result = FACT ( statut = "o",
+ min = 1,
+ max = "**",
+
+ EmpiricalMean = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Moyenne empirique",
+ ang = "Empirical mean",
+ ),
+
+ EmpiricalStandardDeviation = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Ecart-type empirique",
+ ang = "Empirical standard deviation",
+ ),
+
+ EmpiricalQuantile = SIMP ( statut = "o",
+ typ = 'R',
+ defaut = 0.0,
+ max = 1,
+ val_min = 0.0,
+ val_max = 1.0,
+ fr = "Quantile empirique",
+ ang = "Empirical quantile",
+ ),
+
+ AnalysedCorrelations = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Correlations analysees",
+ ang = "Analysed correlations",
+ ),
+
+ KernelSmoothing = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Kernel smoothing de l'echantillon",
+ ang = "Kernel smoothing of the sample",
+ ),
+
+ ), # Fin FACT Result
+
+ ), # Fin BLOC RandomSamplingSettings
+
+ ), # Fin BLOC CentralUncertainty
+
+
+
+
+ ThresholdExceedence = BLOC ( condition = " Type in ( 'Threshold Exceedence', ) ",
+
+ Event = FACT ( statut = "o",
+ min = 1,
+ max = 1,
+
+ Threshold = SIMP ( statut = "o",
+ typ = "R",
+ max = 1,
+ fr = "Le seuil de defaillance",
+ ang = "Failure threshold",
+ ),
+
+ ComparisonOperator = SIMP ( statut = "o",
+ typ = "TXM",
+ max = 1,
+ into = ( "Less", "LessOrEqual", "Equal", "GreaterOrEqual", "Greater" ),
+ fr = "Que faut-il ne pas depasser : un maximum ou un minimum",
+ ang = "What is the failure threshold : maximum or minimum",
+ ),
+ ), # Fin FACT Event
+
+
+ Method = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Simulation", "Analytical" ),
+ fr = "Methode",
+ ang = "Method",
+ ),
+
+ SimulationSettings = BLOC ( condition = " Method in ( 'Simulation', ) ",
+
+ Algorithm = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "MonteCarlo", "LHS", "ImportanceSampling" ),
+ fr = "Algorithme de simulation",
+ ang = "Simulation algorithm",
+ ),
+
+
+ RandomGenerator = FACT ( statut = "o",
+ min = 1,
+ max = 1,
+
+ SeedToBeSet = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "La racine du generateur aleatoire doit-elle etre positionnee ?",
+ ang = "Does the random generator seed need to be set ?",
+ ),
+
+ SeedSettings = BLOC ( condition = " SeedToBeSet in ( 'yes', ) ",
+
+ RandomGeneratorSeed = SIMP ( statut = "o",
+ typ = "I",
+ max = 1,
+ fr = "Racine du generateur aleatoire",
+ ang = "Random generator seed",
+ ),
+
+ ), # Fin BLOC SeedSettings
+
+ ), # Fin FACT RandomGenerator
+
+
+ BlockSize = SIMP ( statut = "f",
+ typ = "I",
+ max = 1,
+ val_min = 1,
+ defaut = 1,
+ fr = "Nombre de calculs realises en bloc",
+ ang = "Number of computations as a block",
+ ),
+
+ MaximumOuterSampling = SIMP ( statut = "o",
+ typ = "I",
+ max = 1,
+ val_min = 1,
+ fr = "Maximum d'iterations externes",
+ ang = "Maximum outer Sampling value",
+ ),
+
+ MaximumCoefficientOfVariation = SIMP ( statut = "f",
+ typ = "R",
+ max = 1,
+ defaut = 0.1,
+ val_min = 0.0,
+ fr = " maximum ...",
+ ang = "Absolute maximum ...."
+ ),
+
+ ImportanceSamplingSettings = BLOC ( condition = " Algorithm in ( 'ImportanceSampling', ) ",
+
+ MeanVector = SIMP ( statut = "o",
+ typ = "R",
+ max = "**",
+ fr = "Moyenne",
+ ang = "Mean vector",
+ ),
+
+ Correlation = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'Independent', 'Linear' ),
+ defaut = 'Linear',
+ max = 1,
+ fr = "Le type de correlation entre les variables",
+ ang = "Correlation between variables",
+ ),
+
+ ), # Fin BLOC ImportanceSamplingSettings
+
+ Result = FACT ( statut = "o",
+ min = 1,
+ max = "**",
+
+ Probability = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Probabiblite",
+ ang = "Probability",
+ ),
+
+ ConfidenceInterval = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Ecart-type empirique",
+ ang = "Empirical standard deviation",
+ ),
+
+ ConfidenceIntervalSettings = BLOC ( condition = " ConfidenceInterval in ( 'yes', ) ",
+
+ Level = SIMP ( statut = "o",
+ typ = 'R',
+ defaut = 0.0,
+ max = 1,
+ val_min = 0.0,
+ val_max = 1.0,
+ fr = "Niveau de confiance",
+ ang = "Confidence level",
+ ),
+
+ ), # Fin BLOC ConfidenceIntervalSettings
+
+ VariationCoefficient = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Coefficient de variation",
+ ang = "VariationCoefficient",
+ ),
+
+ IterationNumber = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Nombre d'iterations",
+ ang = "Iteration number",
+ ),
+
+ ConvergenceGraph = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Graphe de convergence",
+ ang = "Convergence graph",
+ ),
+
+ ), # Fin FACT Result
+
+
+
+ ), # Fin BLOC SimulationSettings
+
+
+
+ AnalyticalSettings = BLOC ( condition = " Method in ( 'Analytical', ) ",
+
+ Approximation = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "FORM", "SORM" ),
+ fr = "Approximation",
+ ang = "Approximation",
+ ),
+
+ OptimizationAlgorithm = SIMP ( statut = "o",
+ typ = "TXM",
+ into = ( "Cobyla", "AbdoRackwitz" ),
+ fr = "Methode d'optimisation",
+ ang = "Optimisation method",
+ ),
+
+
+ PhysicalStartingPoint = SIMP ( statut = "f",
+ typ = "R",
+ max = "**",
+ fr = "Point de demarrage de l'algorithme iteratif",
+ ang = "Initial point for iterative process",
+ ),
+
+ MaximumIterationsNumber = SIMP ( statut = "f",
+ typ = "I",
+ max = 1,
+ val_min = 1,
+ fr = "Nombre maximum d iterations",
+ ang = "Maximum number of iterations",
+ ),
+
+ regles = ( EXCLUS ( "MaximumAbsoluteError", "RelativeAbsoluteError" ), ),
+
+ MaximumAbsoluteError = SIMP ( statut = "f",
+ typ = "R",
+ max = 1,
+ defaut = 1E-6,
+ val_min = 0.0,
+ fr = "Distance maximum absolue entre 2 iterations successifs",
+ ang = "Absolute maximum distance between 2 successive iterates",
+ ),
+
+ RelativeAbsoluteError = SIMP ( statut = "f",
+ typ = "R",
+ max = 1,
+ defaut = 1E-6,
+ val_min = 0.0,
+ fr = "Distance maximum relative entre 2 iterations successives",
+ ang = "Relative maximum distance between 2 successive iterates",
+ ),
+
+ MaximumConstraintError = SIMP ( statut = "f",
+ typ = "R",
+ max = 1,
+ val_min = 0.0,
+ fr = "Valeur maximum absolue de la fonction moins la valeur du niveau",
+ ang = "Maximum absolute value of the constraint function minus the level value",
+ ),
+
+ ImportanceSampling = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Tirage d'importance au point de conception",
+ ang = "Importance sampling at design point",
+ ),
+
+ FORM = BLOC ( condition = " Approximation in ( 'FORM', ) ",
+
+ Probability = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Probabiblite",
+ ang = "Probability",
+ ),
+
+ DesignPoint = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Point de conception",
+ ang = "Design point",
+ ),
+
+ HasReliabilityIndex = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Indice de fiabilite",
+ ang = "Reliability index",
+ ),
+
+ ImportanceFactor = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Facteur d'importance pour variable de sortie scalaire",
+ ang = "ImportanceFactor",
+ ),
+
+ ImportanceFactorSettings = BLOC ( condition = " ImportanceFactor in ( 'yes', ) ",
+
+ NumericalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Resultats numeriques",
+ ang = "NumericalResults",
+ ),
+
+ GraphicalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Resultats graphiques",
+ ang = "GraphicalResults",
+ ),
+
+ ), # Fin BLOC ImportanceFactorSettings
+
+
+ SensitivityAnalysis = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Analyse de sensibilite",
+ ang = "Sensitivity analysis",
+ ),
+
+ SensitivityAnalysisSettings = BLOC ( condition = " SensitivityAnalysis in ( 'yes', ) ",
+
+ HasoferReliabilityIndex = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Indice de fiabilite de Hasofer",
+ ang = "Hasofer reliability index",
+ ),
+
+ HasoferReliabilityIndexSettings = BLOC ( condition = " HasoferReliabilityIndex in ( 'yes', ) ",
+
+ NumericalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Resultats numeriques",
+ ang = "NumericalResults",
+ ),
+
+ GraphicalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Resultats graphiques",
+ ang = "GraphicalResults",
+ ),
+
+ ), # Fin BLOC HasoferReliabilityIndexSettings
+
+ ), # Fin BLOC SensitivityAnalysisSettings
+
+ FunctionCallsNumber = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Nombre d'appels a la fonction",
+ ang = "Function calls number",
+ ),
+
+
+ ), # Fin BLOC FORM
+
+
+ SORM = BLOC ( condition = " Approximation in ( 'SORM', ) ",
+
+
+ TvedtApproximation = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Approximation de Tvedt",
+ ang = "Tvedt approximation",
+ ),
+
+ HohenBichlerApproximation = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Approximation de HohenBichler",
+ ang = "HohenBichler approximation",
+ ),
+
+ BreitungApproximation = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Approximation de Breitung",
+ ang = "Breitung approximation",
+ ),
+
+ DesignPoint = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Point de conception",
+ ang = "Design point",
+ ),
+
+ ImportanceFactor = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Facteur d'importance pour variable de sortie scalaire",
+ ang = "ImportanceFactor",
+ ),
+
+ ImportanceFactorSettings = BLOC ( condition = " ImportanceFactor in ( 'yes', ) ",
+
+ NumericalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Resultats numeriques",
+ ang = "NumericalResults",
+ ),
+
+ GraphicalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Resultats graphiques",
+ ang = "GraphicalResults",
+ ),
+
+ ), # Fin BLOC ImportanceFactorSettings
+
+
+ SensitivityAnalysis = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Analyse de sensibilite",
+ ang = "Sensitivity analysis",
+ ),
+
+ SensitivityAnalysisSettings = BLOC ( condition = " SensitivityAnalysis in ( 'yes', ) ",
+
+ HasoferReliabilityIndex = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Indice de fiabilite de Hasofer",
+ ang = "Hasofer reliability index",
+ ),
+
+ HasoferReliabilityIndexSettings = BLOC ( condition = " HasoferReliabilityIndex in ( 'yes', ) ",
+
+ NumericalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'yes',
+ max = 1,
+ fr = "Resultats numeriques",
+ ang = "NumericalResults",
+ ),
+
+ GraphicalResults = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Resultats graphiques",
+ ang = "GraphicalResults",
+ ),
+
+ ), # Fin BLOC HasoferReliabilityIndexSettings
+
+ ), # Fin BLOC SensitivityAnalysisSettings
+
+ FunctionCallsNumber = SIMP ( statut = "o",
+ typ = 'TXM',
+ into = ( 'yes', 'no' ),
+ defaut = 'no',
+ max = 1,
+ fr = "Nombre d'appels a la fonction",
+ ang = "Function calls number",
+ ),
+
+
+ ), # Fin BLOC SORM
+
+
+
+ ), # Fin BLOC AnalyticalSettings
+
+
+
+ ), # Fin BLOC ThresholdExceedence
+
+
+
+) # Fin PROC CRITERIA
+
+
+
+
+
+
+
raise StudyFileGenerationError, "The study file was not generated"
"""
-enteteSTD = """#! /usr/bin/env python
+headerSTD = """#! /usr/bin/env python
# Chargement du module systeme
import sys
"""
-piedDePageSTD = """
+footerSTD = """
# Terminaison du fichier
sys.exit( 0 )
"minValue" : "minValue",
"maxValue" : "maxValue",
"flags" : "flags",
+ "inSize" : "inSize",
+ "distribution" : "distribution",
+ "marginal" : "marginal",
+ "collection" : "collection",
+ "copula" : "copula",
+ "inputRandomVector" : "inputRandomVector",
+ "outputRandomVector" : "outputRandomVector",
}
# Ce dictionnaire fait la correspondance entre le mot-clef du catalogue et le flag de la bibliotheque
return self.texteSTD
- def Entete (self) :
+ def Header (self) :
'''
Imprime l entete commun a tous les fichiers
'''
- txt = enteteSTD % self.OpenTURNS_path
+ txt = headerSTD % self.OpenTURNS_path
txt += "# Definit le niveau d'affichage de la log\n"
txt += "%s = Log.NONE\n" % self.variable["flags"]
for flag in self.logFlags.keys():
txt += "\n"
return txt
- def PiedDePage (self) :
+ def Footer (self) :
'''
Imprime le pied de page commun a tous les fichiers
'''
- return piedDePageSTD
+ return footerSTD
def MinMax (self):
'''
Produit le fichier study correspondant a une analyse Min/Max
'''
- txt = self.Entete()
+ txt = self.Header()
txt += "# Etude 'Min/Max'\n"
txt += self.Model()
txt += self.MinMaxComputation()
txt += self.MinMaxResult()
- txt += self.PiedDePage()
+ txt += self.Footer()
return txt
def Model (self):
txt += self.CenteredReductedGrid()
txt += self.ScaledVector()
txt += self.TranslationVector()
+ txt += "%s = %s\n" % (self.variable["inputSample"], self.variable["myExperimentPlane"])
+ txt += "\n"
return txt
def RandomSampling (self):
'''
Etude par echantillonage aleatoire
'''
+ size = 0
+ if ( self.DictMCVal.has_key( 'PointsNumber' ) ):
+ size = self.DictMCVal[ 'PointsNumber' ]
+
txt = "# Etude par echantillonage aleatoire\n"
+ txt += self.InputDistribution()
+ txt += self.InputRandomVector()
+ txt += "%s = %d\n" % (self.variable["inSize"], size)
+ txt += "%s = %s.getNumericalSample( %s )\n" % (self.variable["inputSample"], self.variable["inputRandomVector"], self.variable["inSize"])
+ txt += "\n"
+ return txt
+
+ def InputDistribution (self):
+ '''
+ Cree la loi jointe des variables d entree
+ '''
+ txt = "# Definit la loi jointe des variables d'entree\n"
+ txt += "%s = DistributionCollection( %d )\n" % (self.variable["collection"], len( self.DictLois ))
+ txt += "\n"
+ i = 0
+ for concept in self.DictLois.keys():
+ loi = self.DictLois[ concept ]
+ if loi.has_key( 'Kind' ):
+ marginale = "%s_%d" % (self.variable["marginal"], i)
+ txt += "# Definit la loi marginale de la composante %d\n" % i
+ txt += "%s = %s\n" % (marginale, apply( STDGenerateur.__dict__[ loi[ 'Kind' ] ], (self, loi, i, self.variable["collection"]) ))
+ txt += "%s[ %d ] = Distribution( %s )\n" % (self.variable["collection"], i, marginale)
+ txt += "\n"
+ i += 1
+
+ txt += self.Copula()
+
+ txt += "# Definit la loi jointe\n"
+ txt += "%s = ComposedDistribution( %s, Copula( %s ) )\n" % (self.variable["distribution"], self.variable["collection"], self.variable["copula"])
+ txt += "\n"
+ return txt
+
+ def Copula (self):
+ '''
+ Cree la copule de la loi jointe
+ '''
+ txt = "# Definit la copule de la loi jointe\n"
+ txt += "%s = IndependentCopula()\n" % self.variable["copula"]
+ txt += "\n"
+ return txt
+
+ def InputRandomVector (self):
+ '''
+ Cree le vector aleatoire d entree
+ '''
+ txt = "# Definit le vecteur aleatoire d'entree\n"
+ txt += "%s = RandomVector( %s )\n" % (self.variable["inputRandomVector"], self.variable["distribution"])
+ txt += "\n"
return txt
def ScaledVector (self):
Realise le calcul deterministe
'''
txt = "# Calcul\n"
- txt += "%s = %s\n" % (self.variable["inputSample"], self.variable["myExperimentPlane"])
txt += "%s = %s( %s )\n" % (self.variable["outputSample"], self.variable["model"], self.variable["inputSample"])
txt += "\n"
return txt
'''
Produit le fichier study correspondant a une analyse d incertitude en valeur centrale
'''
- txt = self.Entete()
+ txt = self.Header()
txt += "# Etude 'Central Uncertainty'\n\n"
- txt += self.PiedDePage()
+ txt += self.Footer()
return txt
def ThresholdExceedence (self):
'''
Produit le fichier study correspondant a une analyse de depassement de seuil
'''
- txt = self.Entete()
+ txt = self.Header()
txt += "# Etude 'Threshold Exceedence'\n\n"
- txt += self.PiedDePage()
+ txt += self.Footer()
return txt
+ def Beta (self, loi, i, collection):
+ '''
+ Definition de la loi Beta
+ '''
+ settings = {
+ "RT" : "Beta.RT",
+ "MuSigma" : "Beta.MUSIGMA",
+ }
+ if loi[ 'Settings' ] == 'RT' :
+ arg1 = loi[ 'R' ]
+ arg2 = loi[ 'T' ]
+ else :
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Sigma' ]
+
+ arg3 = loi[ 'A' ]
+ arg4 = loi[ 'B' ]
+ txt = "Beta( %g, %g, %g, %g, %s )" % (arg1, arg2, arg3, arg4, settings[ loi[ 'Settings' ] ])
+ return txt
+
+ def Exponential (self, loi, i, collection):
+ '''
+ Definition de la loi Exponential
+ '''
+ arg1 = loi[ 'Lambda' ]
+ arg2 = loi[ 'Gamma' ]
+ txt = "Exponential( %g, %g )" % (arg1, arg2)
+ return txt
+ def Gamma (self, loi, i, collection):
+ '''
+ Definition de la loi Gamma
+ '''
+ settings = {
+ "KLambda" : "Gamma.KLAMBDA",
+ "MuSigma" : "Gamma.MUSIGMA",
+ }
+ if loi[ 'Settings' ] == 'KLambda' :
+ arg1 = loi[ 'K' ]
+ arg2 = loi[ 'Lambda' ]
+ else :
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Sigma' ]
+
+ arg3 = loi[ 'Gamma' ]
+ txt = "Gamma( %g, %g, %g, %s )" % (arg1, arg2, arg3, settings[ loi[ 'Settings' ] ])
+ return txt
+
+ def Geometric (self, loi, i, collection):
+ '''
+ Definition de la loi Geometric
+ '''
+ txt = "Geometric( %g )" % loi[ 'P' ]
+ return txt
+
+ def Gumbel (self, loi, i, collection):
+ '''
+ Definition de la loi Gumbel
+ '''
+ settings = {
+ "AlphaBeta" : "Gamma.ALPHABETA",
+ "MuSigma" : "Gamma.MUSIGMA",
+ }
+ if loi[ 'Settings' ] == 'AlphaBeta' :
+ arg1 = loi[ 'Alpha' ]
+ arg2 = loi[ 'Beta' ]
+ else :
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Sigma' ]
+
+ txt = "Gamma( %g, %g, %s )" % (arg1, arg2, settings[ loi[ 'Settings' ] ])
+ return txt
+
+ def Histogram (self, loi, i, collection):
+ '''
+ Definition de la loi Histogram
+ '''
+ txt = "** Histogram not defined yet **"
+ return txt
+
+ def Logistic (self, loi, i, collection):
+ '''
+ Definition de la loi Logistic
+ '''
+ arg1 = loi[ 'Alpha' ]
+ arg2 = loi[ 'Beta' ]
+ txt = "Logistic( %g, %g )" % (arg1, arg2)
+ return txt
+
+ def LogNormal (self, loi, i, collection):
+ '''
+ Definition de la loi LogNormal
+ '''
+ settings = {
+ "MuSigmaLog" : "LogNormal.MUSIGMA_LOG",
+ "MuSigma" : "LogNormal.MUSIGMA",
+ "MuSigmaOverMu" : "LogNormal.MU_SIGMAOVERMU",
+ }
+ if loi[ 'Settings' ] == 'MuSigmaLog' :
+ arg1 = loi[ 'MuLog' ]
+ arg2 = loi[ 'SigmaLog' ]
+ elif loi[ 'Settings' ] == 'MuSigmaOverMu' :
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'SigmaOverMu' ]
+ else :
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Sigma' ]
+
+ arg3 = loi[ 'Gamma' ]
+ txt = "LogNormal( %g, %g, %g, %s )" % (arg1, arg2, arg3, settings[ loi[ 'Settings' ] ])
+ return txt
+
+ def MultiNomial (self, loi, i, collection):
+ '''
+ Definition de la loi MultiNomial
+ '''
+ arg1 = loi[ 'Values' ]
+ arg2 = loi[ 'N' ]
+ txt = "MultiNomial( NumericalPoint( %s ) , %d)" % (arg1, arg2)
+ return txt
+
+ def Normal (self, loi, i, collection):
+ '''
+ Definition de la loi Normal
+ '''
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Sigma' ]
+ txt = "Normal( %g, %g )" % (arg1, arg2)
+ return txt
+
+ def TruncatedNormal (self, loi, i, collection):
+ '''
+ Definition de la loi TruncatedNormal
+ '''
+ arg1 = loi[ 'MuN' ]
+ arg2 = loi[ 'SigmaN' ]
+ arg3 = loi[ 'A' ]
+ arg4 = loi[ 'B' ]
+ txt = "TruncatedNormal( %g, %g, %g, %g )" % (arg1, arg2, arg3, arg4)
+ return txt
+
+ def Poisson (self, loi, i, collection):
+ '''
+ Definition de la loi
+ '''
+ txt = "Poisson( %g )" % loi[ 'Lambda' ]
+ return txt
+
+ def Student (self, loi, i, collection):
+ '''
+ Definition de la loi Student
+ '''
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Nu' ]
+ txt = "Student( %g, %g )" % (arg1, arg2)
+ return txt
+
+ def Triangular (self, loi, i, collection):
+ '''
+ Definition de la loi Triangular
+ '''
+ arg1 = loi[ 'A' ]
+ arg2 = loi[ 'M' ]
+ arg3 = loi[ 'B' ]
+ txt = "Triangular( %g, %g, %g )" % (arg1, arg2, arg3)
+ return txt
+
+ def Uniform (self, loi, i, collection):
+ '''
+ Definition de la loi Uniform
+ '''
+ arg1 = loi[ 'A' ]
+ arg2 = loi[ 'B' ]
+ txt = "Uniform( %g, %g )" % (arg1, arg2)
+ return txt
+
+ def UserDefined (self, loi, i, collection):
+ '''
+ Definition de la loi UserDefined
+ '''
+ txt = "** UserDefined not defined yet **"
+ return txt
+
+ def Weibull (self, loi, i, collection):
+ '''
+ Definition de la loi Weibull
+ '''
+ settings = {
+ "AlphaBeta" : "Weibull.ALPHABETA",
+ "MuSigma" : "Weibull.MUSIGMA",
+ }
+ if loi[ 'Settings' ] == 'AlphaBeta' :
+ arg1 = loi[ 'Alpha' ]
+ arg2 = loi[ 'Beta' ]
+ else :
+ arg1 = loi[ 'Mu' ]
+ arg2 = loi[ 'Sigma' ]
+
+ arg3 = loi[ 'Gamma' ]
+ txt = "Weibull( %g, %g, %s )" % (arg1, arg2, arg3, settings[ loi[ 'Settings' ] ])
+ return txt
+
