This file is indexed.

/usr/share/pyshared/openturns/model_copula.py is in python-openturns 1.2-2.

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# This file was automatically generated by SWIG (http://www.swig.org).
# Version 2.0.10
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.


"""
Copulas
"""


from sys import version_info
if version_info >= (2,6,0):
    def swig_import_helper():
        from os.path import dirname
        import imp
        fp = None
        try:
            fp, pathname, description = imp.find_module('_model_copula', [dirname(__file__)])
        except ImportError:
            import _model_copula
            return _model_copula
        if fp is not None:
            try:
                _mod = imp.load_module('_model_copula', fp, pathname, description)
            finally:
                fp.close()
            return _mod
    _model_copula = swig_import_helper()
    del swig_import_helper
else:
    import _model_copula
del version_info
try:
    _swig_property = property
except NameError:
    pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self,class_type,name,value,static=1):
    if (name == "thisown"): return self.this.own(value)
    if (name == "this"):
        if type(value).__name__ == 'SwigPyObject':
            self.__dict__[name] = value
            return
    method = class_type.__swig_setmethods__.get(name,None)
    if method: return method(self,value)
    if (not static):
        self.__dict__[name] = value
    else:
        raise AttributeError("You cannot add attributes to %s" % self)

def _swig_setattr(self,class_type,name,value):
    return _swig_setattr_nondynamic(self,class_type,name,value,0)

def _swig_getattr(self,class_type,name):
    if (name == "thisown"): return self.this.own()
    method = class_type.__swig_getmethods__.get(name,None)
    if method: return method(self)
    raise AttributeError(name)

def _swig_repr(self):
    try: strthis = "proxy of " + self.this.__repr__()
    except: strthis = ""
    return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)

try:
    _object = object
    _newclass = 1
except AttributeError:
    class _object : pass
    _newclass = 0


class SwigPyIterator(_object):
    """Proxy of C++ swig::SwigPyIterator class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, SwigPyIterator, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, SwigPyIterator, name)
    def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract")
    __repr__ = _swig_repr
    __swig_destroy__ = _model_copula.delete_SwigPyIterator
    __del__ = lambda self : None;
    def value(self):
        """value(SwigPyIterator self) -> PyObject *"""
        return _model_copula.SwigPyIterator_value(self)

    def incr(self, n=1):
        """
        incr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
        incr(SwigPyIterator self) -> SwigPyIterator
        """
        return _model_copula.SwigPyIterator_incr(self, n)

    def decr(self, n=1):
        """
        decr(SwigPyIterator self, size_t n=1) -> SwigPyIterator
        decr(SwigPyIterator self) -> SwigPyIterator
        """
        return _model_copula.SwigPyIterator_decr(self, n)

    def distance(self, *args):
        """distance(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t"""
        return _model_copula.SwigPyIterator_distance(self, *args)

    def equal(self, *args):
        """equal(SwigPyIterator self, SwigPyIterator x) -> bool"""
        return _model_copula.SwigPyIterator_equal(self, *args)

    def copy(self):
        """copy(SwigPyIterator self) -> SwigPyIterator"""
        return _model_copula.SwigPyIterator_copy(self)

    def next(self):
        """next(SwigPyIterator self) -> PyObject *"""
        return _model_copula.SwigPyIterator_next(self)

    def __next__(self):
        """__next__(SwigPyIterator self) -> PyObject *"""
        return _model_copula.SwigPyIterator___next__(self)

    def previous(self):
        """previous(SwigPyIterator self) -> PyObject *"""
        return _model_copula.SwigPyIterator_previous(self)

    def advance(self, *args):
        """advance(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _model_copula.SwigPyIterator_advance(self, *args)

    def __eq__(self, *args):
        """__eq__(SwigPyIterator self, SwigPyIterator x) -> bool"""
        return _model_copula.SwigPyIterator___eq__(self, *args)

    def __ne__(self, *args):
        """__ne__(SwigPyIterator self, SwigPyIterator x) -> bool"""
        return _model_copula.SwigPyIterator___ne__(self, *args)

    def __iadd__(self, *args):
        """__iadd__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _model_copula.SwigPyIterator___iadd__(self, *args)

    def __isub__(self, *args):
        """__isub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _model_copula.SwigPyIterator___isub__(self, *args)

    def __add__(self, *args):
        """__add__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator"""
        return _model_copula.SwigPyIterator___add__(self, *args)

    def __sub__(self, *args):
        """
        __sub__(SwigPyIterator self, ptrdiff_t n) -> SwigPyIterator
        __sub__(SwigPyIterator self, SwigPyIterator x) -> ptrdiff_t
        """
        return _model_copula.SwigPyIterator___sub__(self, *args)

    def __iter__(self): return self
SwigPyIterator_swigregister = _model_copula.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)

GCC_VERSION = _model_copula.GCC_VERSION
class TestFailed:
  """
  TestFailed is used to raise an uniform exception in tests
  """
  __type = "TestFailed"
  def __init__(self,reason=""):
    self.reason = reason
  def type(self):
    return TestFailed.__type
  def what(self):
    return self.reason
  def __str__(self):
    return TestFailed.__type + ": " + self.reason
  def __lshift__(self,ch):
    self.reason += ch
    return self

import openturns.common
import openturns.typ
import openturns.wrapper
class TestResult(openturns.common.PersistentObject):
    """Proxy of C++ OT::TestResult class"""
    __swig_setmethods__ = {}
    for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, TestResult, name, value)
    __swig_getmethods__ = {}
    for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, TestResult, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.TestResult_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(TestResult self) -> OT::String"""
        return _model_copula.TestResult_getClassName(self)

    def setDescription(self, *args):
        """setDescription(TestResult self, Description description)"""
        return _model_copula.TestResult_setDescription(self, *args)

    def getDescription(self):
        """getDescription(TestResult self) -> Description"""
        return _model_copula.TestResult_getDescription(self)

    def __repr__(self):
        """__repr__(TestResult self) -> OT::String"""
        return _model_copula.TestResult___repr__(self)

    def getBinaryQualityMeasure(self):
        """getBinaryQualityMeasure(TestResult self) -> OT::Bool"""
        return _model_copula.TestResult_getBinaryQualityMeasure(self)

    def getPValue(self):
        """getPValue(TestResult self) -> OT::NumericalScalar"""
        return _model_copula.TestResult_getPValue(self)

    def getThreshold(self):
        """getThreshold(TestResult self) -> OT::NumericalScalar"""
        return _model_copula.TestResult_getThreshold(self)

    def getTestType(self):
        """getTestType(TestResult self) -> OT::String"""
        return _model_copula.TestResult_getTestType(self)

    def __eq__(self, *args):
        """__eq__(TestResult self, TestResult other) -> OT::Bool"""
        return _model_copula.TestResult___eq__(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::TestResult self) -> TestResult
        __init__(OT::TestResult self, OT::String const & type, OT::Bool const binMeasure, OT::NumericalScalar const pVal, 
            OT::NumericalScalar const pThreshold) -> TestResult
        __init__(OT::TestResult self, TestResult other) -> TestResult
        __init__(OT::TestResult self, PyObject * pyObj) -> TestResult
        """
        this = _model_copula.new_TestResult(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_TestResult
    __del__ = lambda self : None;
TestResult_swigregister = _model_copula.TestResult_swigregister
TestResult_swigregister(TestResult)

def TestResult_GetClassName():
  """TestResult_GetClassName() -> OT::String"""
  return _model_copula.TestResult_GetClassName()

import openturns.base
import openturns.statistics
import openturns.graph
import openturns.func
import openturns.geom
import openturns.diff
import openturns.optim
import openturns.solver
import openturns.algo
import openturns.experiment
class DistributionImplementation(openturns.common.PersistentObject):
    """Proxy of C++ OT::DistributionImplementation class"""
    __swig_setmethods__ = {}
    for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionImplementation, name, value)
    __swig_getmethods__ = {}
    for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionImplementation, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.DistributionImplementation_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(DistributionImplementation self) -> OT::String"""
        return _model_copula.DistributionImplementation_getClassName(self)

    def __eq__(self, *args):
        """__eq__(DistributionImplementation self, DistributionImplementation other) -> OT::Bool"""
        return _model_copula.DistributionImplementation___eq__(self, *args)

    def __repr__(self):
        """__repr__(DistributionImplementation self) -> OT::String"""
        return _model_copula.DistributionImplementation___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionImplementation self, OT::String const & offset="") -> OT::String
        __str__(DistributionImplementation self) -> OT::String
        """
        return _model_copula.DistributionImplementation___str__(self, offset)

    def setWeight(self, *args):
        """setWeight(DistributionImplementation self, OT::NumericalScalar w)"""
        return _model_copula.DistributionImplementation_setWeight(self, *args)

    def getWeight(self):
        """getWeight(DistributionImplementation self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_getWeight(self)

    def getDimension(self):
        """getDimension(DistributionImplementation self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementation_getDimension(self)

    def getRealization(self):
        """getRealization(DistributionImplementation self) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getRealization(self)

    def getSample(self, *args):
        """getSample(DistributionImplementation self, OT::UnsignedLong const size) -> NumericalSample"""
        return _model_copula.DistributionImplementation_getSample(self, *args)

    def computeDDF(self, *args):
        """
        computeDDF(DistributionImplementation self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(DistributionImplementation self, NumericalPoint point) -> NumericalPoint
        computeDDF(DistributionImplementation self, NumericalSample sample) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_computeDDF(self, *args)

    def computeLogPDF(self, *args):
        """
        computeLogPDF(DistributionImplementation self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeLogPDF(DistributionImplementation self, NumericalPoint point) -> OT::NumericalScalar
        computeLogPDF(DistributionImplementation self, NumericalSample sample) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_computeLogPDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(DistributionImplementation self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(DistributionImplementation self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(DistributionImplementation self, NumericalSample sample) -> NumericalSample
        computePDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(DistributionImplementation self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(DistributionImplementation self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(DistributionImplementation self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(DistributionImplementation self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(DistributionImplementation self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(DistributionImplementation self, NumericalSample sample) -> NumericalSample
        computeCDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_computeCDF(self, *args)

    def computeComplementaryCDF(self, *args):
        """
        computeComplementaryCDF(DistributionImplementation self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeComplementaryCDF(DistributionImplementation self, NumericalPoint point) -> OT::NumericalScalar
        computeComplementaryCDF(DistributionImplementation self, NumericalSample sample) -> NumericalSample
        computeComplementaryCDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeComplementaryCDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_computeComplementaryCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(DistributionImplementation self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeProbability(self, *args)

    def computeCharacteristicFunction(self, *args):
        """
        computeCharacteristicFunction(DistributionImplementation self, OT::NumericalScalar const x) -> OT::NumericalComplex
        computeCharacteristicFunction(DistributionImplementation self, NumericalPoint x) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementation_computeCharacteristicFunction(self, *args)

    def computeLogCharacteristicFunction(self, *args):
        """
        computeLogCharacteristicFunction(DistributionImplementation self, OT::NumericalScalar const x) -> OT::NumericalComplex
        computeLogCharacteristicFunction(DistributionImplementation self, NumericalPoint x) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementation_computeLogCharacteristicFunction(self, *args)

    def computeGeneratingFunction(self, *args):
        """
        computeGeneratingFunction(DistributionImplementation self, OT::NumericalScalar const z) -> OT::NumericalScalar
        computeGeneratingFunction(DistributionImplementation self, OT::NumericalComplex const & z) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementation_computeGeneratingFunction(self, *args)

    def computeLogGeneratingFunction(self, *args):
        """
        computeLogGeneratingFunction(DistributionImplementation self, OT::NumericalScalar const z) -> OT::NumericalScalar
        computeLogGeneratingFunction(DistributionImplementation self, OT::NumericalComplex const & z) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementation_computeLogGeneratingFunction(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(DistributionImplementation self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(DistributionImplementation self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(DistributionImplementation self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(DistributionImplementation self, OT::NumericalScalar const prob) -> NumericalPoint
        computeQuantile(DistributionImplementation self, NumericalPoint prob, OT::Bool const tail=False) -> NumericalSample
        computeQuantile(DistributionImplementation self, NumericalPoint prob) -> NumericalSample
        computeQuantile(DistributionImplementation self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon"), 
            OT::Bool const tail=False) -> NumericalSample
        computeQuantile(DistributionImplementation self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) -> NumericalSample
        computeQuantile(DistributionImplementation self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_computeQuantile(self, *args)

    def getRange(self):
        """getRange(DistributionImplementation self) -> Interval"""
        return _model_copula.DistributionImplementation_getRange(self)

    def getRoughness(self):
        """getRoughness(DistributionImplementation self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_getRoughness(self)

    def getMean(self):
        """getMean(DistributionImplementation self) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getMean(self)

    def getStandardDeviation(self):
        """getStandardDeviation(DistributionImplementation self) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getStandardDeviation(self)

    def getSkewness(self):
        """getSkewness(DistributionImplementation self) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getSkewness(self)

    def getKurtosis(self):
        """getKurtosis(DistributionImplementation self) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getKurtosis(self)

    def getStandardMoment(self, *args):
        """getStandardMoment(DistributionImplementation self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getStandardMoment(self, *args)

    def getMoment(self, *args):
        """getMoment(DistributionImplementation self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getMoment(self, *args)

    def getCenteredMoment(self, *args):
        """getCenteredMoment(DistributionImplementation self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.DistributionImplementation_getCenteredMoment(self, *args)

    def getCovariance(self):
        """getCovariance(DistributionImplementation self) -> CovarianceMatrix"""
        return _model_copula.DistributionImplementation_getCovariance(self)

    def getCorrelation(self):
        """getCorrelation(DistributionImplementation self) -> CorrelationMatrix"""
        return _model_copula.DistributionImplementation_getCorrelation(self)

    def getCholesky(self):
        """getCholesky(DistributionImplementation self) -> SquareMatrix"""
        return _model_copula.DistributionImplementation_getCholesky(self)

    def getInverseCholesky(self):
        """getInverseCholesky(DistributionImplementation self) -> SquareMatrix"""
        return _model_copula.DistributionImplementation_getInverseCholesky(self)

    def isElliptical(self):
        """isElliptical(DistributionImplementation self) -> OT::Bool"""
        return _model_copula.DistributionImplementation_isElliptical(self)

    def isContinuous(self):
        """isContinuous(DistributionImplementation self) -> OT::Bool"""
        return _model_copula.DistributionImplementation_isContinuous(self)

    def isDiscrete(self):
        """isDiscrete(DistributionImplementation self) -> OT::Bool"""
        return _model_copula.DistributionImplementation_isDiscrete(self)

    def isIntegral(self):
        """isIntegral(DistributionImplementation self) -> OT::Bool"""
        return _model_copula.DistributionImplementation_isIntegral(self)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(DistributionImplementation self) -> OT::Bool"""
        return _model_copula.DistributionImplementation_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(DistributionImplementation self) -> OT::Bool"""
        return _model_copula.DistributionImplementation_hasIndependentCopula(self)

    def getSupport(self, *args):
        """
        getSupport(DistributionImplementation self, Interval interval) -> NumericalSample
        getSupport(DistributionImplementation self) -> NumericalSample
        """
        return _model_copula.DistributionImplementation_getSupport(self, *args)

    def computeDensityGenerator(self, *args):
        """computeDensityGenerator(DistributionImplementation self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeDensityGenerator(self, *args)

    def computeDensityGeneratorDerivative(self, *args):
        """computeDensityGeneratorDerivative(DistributionImplementation self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeDensityGeneratorDerivative(self, *args)

    def computeDensityGeneratorSecondDerivative(self, *args):
        """computeDensityGeneratorSecondDerivative(DistributionImplementation self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeDensityGeneratorSecondDerivative(self, *args)

    def computeRadialDistributionCDF(self, *args):
        """
        computeRadialDistributionCDF(DistributionImplementation self, OT::NumericalScalar const radius, OT::Bool const tail=False) -> OT::NumericalScalar
        computeRadialDistributionCDF(DistributionImplementation self, OT::NumericalScalar const radius) -> OT::NumericalScalar
        """
        return _model_copula.DistributionImplementation_computeRadialDistributionCDF(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(DistributionImplementation self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(DistributionImplementation self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.DistributionImplementation_getMarginal(self, *args)

    def getCopula(self):
        """getCopula(DistributionImplementation self) -> DistributionImplementationPointer"""
        return _model_copula.DistributionImplementation_getCopula(self)

    def computeConditionalDDF(self, *args):
        """computeConditionalDDF(DistributionImplementation self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeConditionalDDF(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(DistributionImplementation self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(DistributionImplementation self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(DistributionImplementation self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_computeConditionalQuantile(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(DistributionImplementation self) -> NumericalMathFunction"""
        return _model_copula.DistributionImplementation_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(DistributionImplementation self) -> NumericalMathFunction"""
        return _model_copula.DistributionImplementation_getInverseIsoProbabilisticTransformation(self)

    def getStandardDistribution(self):
        """getStandardDistribution(DistributionImplementation self) -> DistributionImplementationPointer"""
        return _model_copula.DistributionImplementation_getStandardDistribution(self)

    def getStandardRepresentative(self):
        """getStandardRepresentative(DistributionImplementation self) -> DistributionImplementationPointer"""
        return _model_copula.DistributionImplementation_getStandardRepresentative(self)

    def getIntegrationNodesNumber(self):
        """getIntegrationNodesNumber(DistributionImplementation self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementation_getIntegrationNodesNumber(self)

    def setIntegrationNodesNumber(self, *args):
        """setIntegrationNodesNumber(DistributionImplementation self, OT::UnsignedLong const integrationNodesNumber)"""
        return _model_copula.DistributionImplementation_setIntegrationNodesNumber(self, *args)

    def getGaussNodesAndWeights(self, *args):
        """
        getGaussNodesAndWeights(DistributionImplementation self) -> NumericalSample
        getGaussNodesAndWeights(DistributionImplementation self, NumericalPoint weights) -> NumericalPoint
        """
        return _model_copula.DistributionImplementation_getGaussNodesAndWeights(self, *args)

    def drawMarginal1DPDF(self, *args):
        """
        drawMarginal1DPDF(DistributionImplementation self, OT::UnsignedLong const marginalIndex, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, 
            OT::UnsignedLong const pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementation_drawMarginal1DPDF(self, *args)

    def drawPDF(self, *args):
        """
        drawPDF(DistributionImplementation self) -> Graph
        drawPDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawPDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawPDF(DistributionImplementation self, OT::UnsignedLong const pointNumber) -> Graph
        drawPDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawPDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawPDF(DistributionImplementation self, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementation_drawPDF(self, *args)

    def drawMarginal2DPDF(self, *args):
        """
        drawMarginal2DPDF(DistributionImplementation self, OT::UnsignedLong const firstMarginal, OT::UnsignedLong const secondMarginal, NumericalPoint xMin, 
            NumericalPoint xMax, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementation_drawMarginal2DPDF(self, *args)

    def drawCDF(self, *args):
        """
        drawCDF(DistributionImplementation self) -> Graph
        drawCDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawCDF(DistributionImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawCDF(DistributionImplementation self, OT::UnsignedLong const pointNumber) -> Graph
        drawCDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawCDF(DistributionImplementation self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawCDF(DistributionImplementation self, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementation_drawCDF(self, *args)

    def drawMarginal1DCDF(self, *args):
        """
        drawMarginal1DCDF(DistributionImplementation self, OT::UnsignedLong const marginalIndex, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, 
            OT::UnsignedLong const pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementation_drawMarginal1DCDF(self, *args)

    def drawMarginal2DCDF(self, *args):
        """
        drawMarginal2DCDF(DistributionImplementation self, OT::UnsignedLong const firstMarginal, OT::UnsignedLong const secondMarginal, NumericalPoint xMin, 
            NumericalPoint xMax, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementation_drawMarginal2DCDF(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(DistributionImplementation self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.DistributionImplementation_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(DistributionImplementation self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(DistributionImplementation self, NumericalPointCollection parametersCollection)
        setParametersCollection(DistributionImplementation self, NumericalPoint parameters)
        """
        return _model_copula.DistributionImplementation_setParametersCollection(self, *args)

    def getParametersNumber(self):
        """getParametersNumber(DistributionImplementation self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementation_getParametersNumber(self)

    def setDescription(self, *args):
        """setDescription(DistributionImplementation self, Description description)"""
        return _model_copula.DistributionImplementation_setDescription(self, *args)

    def getDescription(self):
        """getDescription(DistributionImplementation self) -> Description"""
        return _model_copula.DistributionImplementation_getDescription(self)

    def getPDFEpsilon(self):
        """getPDFEpsilon(DistributionImplementation self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_getPDFEpsilon(self)

    def getCDFEpsilon(self):
        """getCDFEpsilon(DistributionImplementation self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_getCDFEpsilon(self)

    def getPositionIndicator(self):
        """getPositionIndicator(DistributionImplementation self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_getPositionIndicator(self)

    def getDispersionIndicator(self):
        """getDispersionIndicator(DistributionImplementation self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementation_getDispersionIndicator(self)

    def __init__(self, *args): 
        """
        __init__(OT::DistributionImplementation self, OT::String const & name=DefaultName) -> DistributionImplementation
        __init__(OT::DistributionImplementation self) -> DistributionImplementation
        __init__(OT::DistributionImplementation self, DistributionImplementation other) -> DistributionImplementation
        """
        this = _model_copula.new_DistributionImplementation(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_DistributionImplementation
    __del__ = lambda self : None;
DistributionImplementation_swigregister = _model_copula.DistributionImplementation_swigregister
DistributionImplementation_swigregister(DistributionImplementation)

def DistributionImplementation_GetClassName():
  """DistributionImplementation_GetClassName() -> OT::String"""
  return _model_copula.DistributionImplementation_GetClassName()

class DistributionImplementationFactory(openturns.common.PersistentObject):
    """Proxy of C++ OT::DistributionImplementationFactory class"""
    __swig_setmethods__ = {}
    for _s in [openturns.common.PersistentObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionImplementationFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [openturns.common.PersistentObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionImplementationFactory, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.DistributionImplementationFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(DistributionImplementationFactory self) -> OT::String"""
        return _model_copula.DistributionImplementationFactory_getClassName(self)

    def __repr__(self):
        """__repr__(DistributionImplementationFactory self) -> OT::String"""
        return _model_copula.DistributionImplementationFactory___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionImplementationFactory self, OT::String const & offset="") -> OT::String
        __str__(DistributionImplementationFactory self) -> OT::String
        """
        return _model_copula.DistributionImplementationFactory___str__(self, offset)

    def build(self, *args):
        """
        build(DistributionImplementationFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(DistributionImplementationFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(DistributionImplementationFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(DistributionImplementationFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(DistributionImplementationFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.DistributionImplementationFactory_build(self, *args)

    def getBootstrapSize(self):
        """getBootstrapSize(DistributionImplementationFactory self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationFactory_getBootstrapSize(self)

    def setBootstrapSize(self, *args):
        """setBootstrapSize(DistributionImplementationFactory self, OT::UnsignedLong const bootstrapSize)"""
        return _model_copula.DistributionImplementationFactory_setBootstrapSize(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::DistributionImplementationFactory self, OT::UnsignedLong const bootstrapSize=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementationFactory-DefaultBootstrapSize"), 
            OT::String const & name=DefaultName) -> DistributionImplementationFactory
        __init__(OT::DistributionImplementationFactory self, OT::UnsignedLong const bootstrapSize=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementationFactory-DefaultBootstrapSize")) -> DistributionImplementationFactory
        __init__(OT::DistributionImplementationFactory self) -> DistributionImplementationFactory
        __init__(OT::DistributionImplementationFactory self, DistributionImplementationFactory other) -> DistributionImplementationFactory
        """
        this = _model_copula.new_DistributionImplementationFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_DistributionImplementationFactory
    __del__ = lambda self : None;
DistributionImplementationFactory_swigregister = _model_copula.DistributionImplementationFactory_swigregister
DistributionImplementationFactory_swigregister(DistributionImplementationFactory)

def DistributionImplementationFactory_GetClassName():
  """DistributionImplementationFactory_GetClassName() -> OT::String"""
  return _model_copula.DistributionImplementationFactory_GetClassName()

class PythonDistribution(object):
    """"
    PythonDistribution is a class to subclass
    before it can be passed on to a Distribution
    """
    def __init__(self, dim = 0):
        self.__dim = dim

    def __str__(self):
        return 'PythonDistribution -> #%d' % self.__dim

    def __repr__(self):
        return self.__str__()
      
    def getDimension(self) :
        return self.__dim
        
    def computeCDF(self, X):
        raise RuntimeError( 'You must define a method computePDF(x) -> cdf, where cdf is a float' )
        
    def computePDFGradient(self, X):
        raise RuntimeError( 'You must define a method computePDFGradient(x) -> dpdf, where dpdf is a sequence' )
    
    def computeCDFGradient(self, X):
        raise RuntimeError( 'You must define a method computeCDFGradient(x) -> dcdf, where dcdf is a sequence' )
    
    def getRoughness(self):
        raise RuntimeError( 'You must define a method getRoughness() -> r, where r is a float' )
        

class SciPyDistribution(PythonDistribution):
    """
    SciPyDistribution subclasses allows to 
    build a PythonDistribution from a scipy distribution
    """
    def __init__(self, dist):
        super(SciPyDistribution, self).__init__(1)
        if dist.__class__.__name__ != 'rv_frozen':
            raise TypeError( 'Argument is not a scipy distribution' )
        self._dist = dist
        
        # compute range
        interval = dist.interval(1.0)
        lb = interval[0]
        ub = interval[1]
        flb = int(abs(lb) != float('+inf'))
        fub = int(abs(ub) != float('+inf'))
        self.__range = [[lb], [ub], [flb], [fub]]
                
    def getRange(self) :
        return self.__range
        
    def getRealization(self):
        rvs = self._dist.rvs()
        return [rvs]
      
    def getSample(self, size):
        rvs = self._dist.rvs(size)
        return rvs.reshape(size, 1)
        
    def computePDF(self, X):
        pdf = self._dist.pdf(X[0])
        return pdf
    
    def computeCDF(self, X):
        cdf = self._dist.cdf(X[0])
        return cdf
    
    def getMean(self):
        mean = self._dist.mean()
        return [mean]
      
    def getStandardDeviation(self):
        std = self._dist.std()
        return [std]        
        
    def getSkewness(self):
        skewness = float( self._dist.stats( 's' ) )
        return [skewness]  
        
    def getKurtosis(self):
        kurtosis = float( self._dist.stats( 'k' ) )
        return [kurtosis]  
        
    def getMoment(self, n):
        moment = self._dist.moment(n)
        return [moment]  

class DistributionImplementationTypedInterfaceObject(openturns.common.InterfaceObject):
    """Proxy of C++ OT::TypedInterfaceObject<(OT::DistributionImplementation)> class"""
    __swig_setmethods__ = {}
    for _s in [openturns.common.InterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionImplementationTypedInterfaceObject, name, value)
    __swig_getmethods__ = {}
    for _s in [openturns.common.InterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionImplementationTypedInterfaceObject, name)
    __repr__ = _swig_repr
    def __init__(self, *args): 
        """
        __init__(OT::TypedInterfaceObject<(OT::DistributionImplementation)> self) -> DistributionImplementationTypedInterfaceObject
        __init__(OT::TypedInterfaceObject<(OT::DistributionImplementation)> self, DistributionImplementationPointer impl) -> DistributionImplementationTypedInterfaceObject
        """
        this = _model_copula.new_DistributionImplementationTypedInterfaceObject(*args)
        try: self.this.append(this)
        except: self.this = this
    def getImplementation(self, *args):
        """
        getImplementation(DistributionImplementationTypedInterfaceObject self) -> DistributionImplementationPointer
        getImplementation(DistributionImplementationTypedInterfaceObject self) -> DistributionImplementationPointer
        """
        return _model_copula.DistributionImplementationTypedInterfaceObject_getImplementation(self, *args)

    def getImplementationAsPersistentObject(self):
        """getImplementationAsPersistentObject(DistributionImplementationTypedInterfaceObject self) -> PersistentObjectPointer"""
        return _model_copula.DistributionImplementationTypedInterfaceObject_getImplementationAsPersistentObject(self)

    def setImplementationAsPersistentObject(self, *args):
        """setImplementationAsPersistentObject(DistributionImplementationTypedInterfaceObject self, PersistentObjectPointer obj)"""
        return _model_copula.DistributionImplementationTypedInterfaceObject_setImplementationAsPersistentObject(self, *args)

    def swap(self, *args):
        """swap(DistributionImplementationTypedInterfaceObject self, DistributionImplementationTypedInterfaceObject other)"""
        return _model_copula.DistributionImplementationTypedInterfaceObject_swap(self, *args)

    def setName(self, *args):
        """setName(DistributionImplementationTypedInterfaceObject self, OT::String const & name)"""
        return _model_copula.DistributionImplementationTypedInterfaceObject_setName(self, *args)

    def getName(self):
        """getName(DistributionImplementationTypedInterfaceObject self) -> OT::String"""
        return _model_copula.DistributionImplementationTypedInterfaceObject_getName(self)

    def __eq__(self, *args):
        """__eq__(DistributionImplementationTypedInterfaceObject self, DistributionImplementationTypedInterfaceObject other) -> OT::Bool"""
        return _model_copula.DistributionImplementationTypedInterfaceObject___eq__(self, *args)

    __swig_destroy__ = _model_copula.delete_DistributionImplementationTypedInterfaceObject
    __del__ = lambda self : None;
DistributionImplementationTypedInterfaceObject_swigregister = _model_copula.DistributionImplementationTypedInterfaceObject_swigregister
DistributionImplementationTypedInterfaceObject_swigregister(DistributionImplementationTypedInterfaceObject)

class DistributionCollection(_object):
    """Proxy of C++ OT::Collection<(OT::Distribution)> class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionCollection, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionCollection, name)
    __swig_destroy__ = _model_copula.delete_DistributionCollection
    __del__ = lambda self : None;
    def clear(self):
        """clear(DistributionCollection self)"""
        return _model_copula.DistributionCollection_clear(self)

    def __len__(self):
        """__len__(DistributionCollection self) -> OT::UnsignedLong"""
        return _model_copula.DistributionCollection___len__(self)

    def __eq__(self, *args):
        """__eq__(DistributionCollection self, DistributionCollection rhs) -> OT::Bool"""
        return _model_copula.DistributionCollection___eq__(self, *args)

    def __contains__(self, *args):
        """__contains__(DistributionCollection self, Distribution val) -> OT::Bool"""
        return _model_copula.DistributionCollection___contains__(self, *args)

    def __getitem__(self, *args):
        """__getitem__(DistributionCollection self, OT::UnsignedLong const i) -> Distribution"""
        return _model_copula.DistributionCollection___getitem__(self, *args)

    def __setitem__(self, *args):
        """__setitem__(DistributionCollection self, OT::UnsignedLong const i, Distribution val)"""
        return _model_copula.DistributionCollection___setitem__(self, *args)

    def __delitem__(self, *args):
        """__delitem__(DistributionCollection self, OT::UnsignedLong const i)"""
        return _model_copula.DistributionCollection___delitem__(self, *args)

    def at(self, *args):
        """
        at(DistributionCollection self, OT::UnsignedLong const i) -> Distribution
        at(DistributionCollection self, OT::UnsignedLong const i) -> Distribution
        """
        return _model_copula.DistributionCollection_at(self, *args)

    def add(self, *args):
        """
        add(DistributionCollection self, Distribution elt)
        add(DistributionCollection self, DistributionCollection coll)
        """
        return _model_copula.DistributionCollection_add(self, *args)

    def getSize(self):
        """getSize(DistributionCollection self) -> OT::UnsignedLong"""
        return _model_copula.DistributionCollection_getSize(self)

    def resize(self, *args):
        """resize(DistributionCollection self, OT::UnsignedLong const newSize)"""
        return _model_copula.DistributionCollection_resize(self, *args)

    def isEmpty(self):
        """isEmpty(DistributionCollection self) -> OT::Bool"""
        return _model_copula.DistributionCollection_isEmpty(self)

    def __repr__(self):
        """__repr__(DistributionCollection self) -> OT::String"""
        return _model_copula.DistributionCollection___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionCollection self, OT::String const & offset="") -> OT::String
        __str__(DistributionCollection self) -> OT::String
        """
        return _model_copula.DistributionCollection___str__(self, offset)

    def __init__(self, *args): 
        """
        __init__(OT::Collection<(OT::Distribution)> self) -> DistributionCollection
        __init__(OT::Collection<(OT::Distribution)> self, OT::UnsignedLong const size) -> DistributionCollection
        __init__(OT::Collection<(OT::Distribution)> self, OT::UnsignedLong const size, Distribution value) -> DistributionCollection
        __init__(OT::Collection<(OT::Distribution)> self, PyObject * pyObj) -> DistributionCollection
        __init__(OT::Collection<(OT::Distribution)> self, DistributionCollection other) -> DistributionCollection
        """
        this = _model_copula.new_DistributionCollection(*args)
        try: self.this.append(this)
        except: self.this = this
DistributionCollection_swigregister = _model_copula.DistributionCollection_swigregister
DistributionCollection_swigregister(DistributionCollection)

class Distribution(DistributionImplementationTypedInterfaceObject):
    """Proxy of C++ OT::Distribution class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationTypedInterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, Distribution, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationTypedInterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, Distribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.Distribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(Distribution self) -> OT::String"""
        return _model_copula.Distribution_getClassName(self)

    def __eq__(self, *args):
        """__eq__(Distribution self, Distribution other) -> OT::Bool"""
        return _model_copula.Distribution___eq__(self, *args)

    def __repr__(self):
        """__repr__(Distribution self) -> OT::String"""
        return _model_copula.Distribution___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(Distribution self, OT::String const & offset="") -> OT::String
        __str__(Distribution self) -> OT::String
        """
        return _model_copula.Distribution___str__(self, offset)

    def setWeight(self, *args):
        """setWeight(Distribution self, OT::NumericalScalar const w)"""
        return _model_copula.Distribution_setWeight(self, *args)

    def getWeight(self):
        """getWeight(Distribution self) -> OT::NumericalScalar"""
        return _model_copula.Distribution_getWeight(self)

    def getDimension(self):
        """getDimension(Distribution self) -> OT::UnsignedLong"""
        return _model_copula.Distribution_getDimension(self)

    def getRealization(self):
        """getRealization(Distribution self) -> NumericalPoint"""
        return _model_copula.Distribution_getRealization(self)

    def getSample(self, *args):
        """getSample(Distribution self, OT::UnsignedLong const size) -> NumericalSample"""
        return _model_copula.Distribution_getSample(self, *args)

    def computeDDF(self, *args):
        """
        computeDDF(Distribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(Distribution self, NumericalPoint point) -> NumericalPoint
        computeDDF(Distribution self, NumericalSample sample) -> NumericalSample
        """
        return _model_copula.Distribution_computeDDF(self, *args)

    def computeLogPDF(self, *args):
        """
        computeLogPDF(Distribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeLogPDF(Distribution self, NumericalPoint point) -> OT::NumericalScalar
        computeLogPDF(Distribution self, NumericalSample sample) -> NumericalSample
        """
        return _model_copula.Distribution_computeLogPDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(Distribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(Distribution self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(Distribution self, NumericalSample sample) -> NumericalSample
        computePDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber) -> NumericalSample
        """
        return _model_copula.Distribution_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(Distribution self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(Distribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(Distribution self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(Distribution self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(Distribution self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(Distribution self, NumericalSample sample) -> NumericalSample
        computeCDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber) -> NumericalSample
        """
        return _model_copula.Distribution_computeCDF(self, *args)

    def computeComplementaryCDF(self, *args):
        """
        computeComplementaryCDF(Distribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeComplementaryCDF(Distribution self, NumericalPoint point) -> OT::NumericalScalar
        computeComplementaryCDF(Distribution self, NumericalSample sample) -> NumericalSample
        computeComplementaryCDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeComplementaryCDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber) -> NumericalSample
        """
        return _model_copula.Distribution_computeComplementaryCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(Distribution self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.Distribution_computeProbability(self, *args)

    def computeCharacteristicFunction(self, *args):
        """computeCharacteristicFunction(Distribution self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
        return _model_copula.Distribution_computeCharacteristicFunction(self, *args)

    def computeLogCharacteristicFunction(self, *args):
        """computeLogCharacteristicFunction(Distribution self, OT::NumericalScalar const x) -> OT::NumericalComplex"""
        return _model_copula.Distribution_computeLogCharacteristicFunction(self, *args)

    def computeGeneratingFunction(self, *args):
        """
        computeGeneratingFunction(Distribution self, OT::NumericalScalar const z) -> OT::NumericalScalar
        computeGeneratingFunction(Distribution self, OT::NumericalComplex const & z) -> OT::NumericalComplex
        """
        return _model_copula.Distribution_computeGeneratingFunction(self, *args)

    def computeLogGeneratingFunction(self, *args):
        """
        computeLogGeneratingFunction(Distribution self, OT::NumericalScalar const z) -> OT::NumericalScalar
        computeLogGeneratingFunction(Distribution self, OT::NumericalComplex const & z) -> OT::NumericalComplex
        """
        return _model_copula.Distribution_computeLogGeneratingFunction(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(Distribution self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.Distribution_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(Distribution self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.Distribution_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(Distribution self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(Distribution self, OT::NumericalScalar const prob) -> NumericalPoint
        computeQuantile(Distribution self, NumericalPoint prob, OT::Bool const tail=False) -> NumericalSample
        computeQuantile(Distribution self, NumericalPoint prob) -> NumericalSample
        computeQuantile(Distribution self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon"), 
            OT::Bool const tail=False) -> NumericalSample
        computeQuantile(Distribution self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) -> NumericalSample
        computeQuantile(Distribution self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber) -> NumericalSample
        """
        return _model_copula.Distribution_computeQuantile(self, *args)

    def getRange(self):
        """getRange(Distribution self) -> Interval"""
        return _model_copula.Distribution_getRange(self)

    def getRoughness(self):
        """getRoughness(Distribution self) -> OT::NumericalScalar"""
        return _model_copula.Distribution_getRoughness(self)

    def getMean(self):
        """getMean(Distribution self) -> NumericalPoint"""
        return _model_copula.Distribution_getMean(self)

    def getCovariance(self):
        """getCovariance(Distribution self) -> CovarianceMatrix"""
        return _model_copula.Distribution_getCovariance(self)

    def getCholesky(self):
        """getCholesky(Distribution self) -> SquareMatrix"""
        return _model_copula.Distribution_getCholesky(self)

    def getStandardMoment(self, *args):
        """getStandardMoment(Distribution self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.Distribution_getStandardMoment(self, *args)

    def getMoment(self, *args):
        """getMoment(Distribution self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.Distribution_getMoment(self, *args)

    def getCenteredMoment(self, *args):
        """getCenteredMoment(Distribution self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.Distribution_getCenteredMoment(self, *args)

    def getInverseCholesky(self):
        """getInverseCholesky(Distribution self) -> SquareMatrix"""
        return _model_copula.Distribution_getInverseCholesky(self)

    def getCorrelation(self):
        """getCorrelation(Distribution self) -> CorrelationMatrix"""
        return _model_copula.Distribution_getCorrelation(self)

    def getStandardDeviation(self):
        """getStandardDeviation(Distribution self) -> NumericalPoint"""
        return _model_copula.Distribution_getStandardDeviation(self)

    def getSkewness(self):
        """getSkewness(Distribution self) -> NumericalPoint"""
        return _model_copula.Distribution_getSkewness(self)

    def getKurtosis(self):
        """getKurtosis(Distribution self) -> NumericalPoint"""
        return _model_copula.Distribution_getKurtosis(self)

    def getImplementation(self):
        """getImplementation(Distribution self) -> DistributionImplementationPointer"""
        return _model_copula.Distribution_getImplementation(self)

    def isElliptical(self):
        """isElliptical(Distribution self) -> OT::Bool"""
        return _model_copula.Distribution_isElliptical(self)

    def isContinuous(self):
        """isContinuous(Distribution self) -> OT::Bool"""
        return _model_copula.Distribution_isContinuous(self)

    def isDiscrete(self):
        """isDiscrete(Distribution self) -> OT::Bool"""
        return _model_copula.Distribution_isDiscrete(self)

    def isIntegral(self):
        """isIntegral(Distribution self) -> OT::Bool"""
        return _model_copula.Distribution_isIntegral(self)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(Distribution self) -> OT::Bool"""
        return _model_copula.Distribution_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(Distribution self) -> OT::Bool"""
        return _model_copula.Distribution_hasIndependentCopula(self)

    def getSupport(self, *args):
        """
        getSupport(Distribution self, Interval interval) -> NumericalSample
        getSupport(Distribution self) -> NumericalSample
        """
        return _model_copula.Distribution_getSupport(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(Distribution self, OT::UnsignedLong const i) -> Distribution
        getMarginal(Distribution self, Indices indices) -> Distribution
        """
        return _model_copula.Distribution_getMarginal(self, *args)

    def getCopula(self):
        """getCopula(Distribution self) -> Distribution"""
        return _model_copula.Distribution_getCopula(self)

    def computeConditionalDDF(self, *args):
        """computeConditionalDDF(Distribution self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.Distribution_computeConditionalDDF(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(Distribution self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.Distribution_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(Distribution self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.Distribution_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(Distribution self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.Distribution_computeConditionalQuantile(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(Distribution self) -> NumericalMathFunction"""
        return _model_copula.Distribution_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(Distribution self) -> NumericalMathFunction"""
        return _model_copula.Distribution_getInverseIsoProbabilisticTransformation(self)

    def getStandardDistribution(self):
        """getStandardDistribution(Distribution self) -> Distribution"""
        return _model_copula.Distribution_getStandardDistribution(self)

    def getStandardRepresentative(self):
        """getStandardRepresentative(Distribution self) -> Distribution"""
        return _model_copula.Distribution_getStandardRepresentative(self)

    def drawMarginal1DPDF(self, *args):
        """
        drawMarginal1DPDF(Distribution self, OT::UnsignedLong const marginalIndex, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, 
            OT::UnsignedLong const pointNumber) -> Graph
        """
        return _model_copula.Distribution_drawMarginal1DPDF(self, *args)

    def drawPDF(self, *args):
        """
        drawPDF(Distribution self) -> Graph
        drawPDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawPDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawPDF(Distribution self, OT::UnsignedLong const pointNumber) -> Graph
        drawPDF(Distribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawPDF(Distribution self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawPDF(Distribution self, Indices pointNumber) -> Graph
        """
        return _model_copula.Distribution_drawPDF(self, *args)

    def drawMarginal2DPDF(self, *args):
        """
        drawMarginal2DPDF(Distribution self, OT::UnsignedLong const firstMarginal, OT::UnsignedLong const secondMarginal, NumericalPoint xMin, 
            NumericalPoint xMax, Indices pointNumber) -> Graph
        """
        return _model_copula.Distribution_drawMarginal2DPDF(self, *args)

    def drawCDF(self, *args):
        """
        drawCDF(Distribution self) -> Graph
        drawCDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawCDF(Distribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawCDF(Distribution self, OT::UnsignedLong const pointNumber) -> Graph
        drawCDF(Distribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawCDF(Distribution self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawCDF(Distribution self, Indices pointNumber) -> Graph
        """
        return _model_copula.Distribution_drawCDF(self, *args)

    def drawMarginal1DCDF(self, *args):
        """
        drawMarginal1DCDF(Distribution self, OT::UnsignedLong const marginalIndex, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, 
            OT::UnsignedLong const pointNumber) -> Graph
        """
        return _model_copula.Distribution_drawMarginal1DCDF(self, *args)

    def drawMarginal2DCDF(self, *args):
        """
        drawMarginal2DCDF(Distribution self, OT::UnsignedLong const firstMarginal, OT::UnsignedLong const secondMarginal, NumericalPoint xMin, 
            NumericalPoint xMax, Indices pointNumber) -> Graph
        """
        return _model_copula.Distribution_drawMarginal2DCDF(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(Distribution self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.Distribution_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(Distribution self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(Distribution self, NumericalPointCollection parametersCollection)
        setParametersCollection(Distribution self, NumericalPoint parameters)
        """
        return _model_copula.Distribution_setParametersCollection(self, *args)

    def getParametersNumber(self):
        """getParametersNumber(Distribution self) -> OT::UnsignedLong"""
        return _model_copula.Distribution_getParametersNumber(self)

    def setDescription(self, *args):
        """setDescription(Distribution self, Description description)"""
        return _model_copula.Distribution_setDescription(self, *args)

    def getDescription(self):
        """getDescription(Distribution self) -> Description"""
        return _model_copula.Distribution_getDescription(self)

    def getPDFEpsilon(self):
        """getPDFEpsilon(Distribution self) -> OT::NumericalScalar"""
        return _model_copula.Distribution_getPDFEpsilon(self)

    def getCDFEpsilon(self):
        """getCDFEpsilon(Distribution self) -> OT::NumericalScalar"""
        return _model_copula.Distribution_getCDFEpsilon(self)

    def getPositionIndicator(self):
        """getPositionIndicator(Distribution self) -> OT::NumericalScalar"""
        return _model_copula.Distribution_getPositionIndicator(self)

    def getDispersionIndicator(self):
        """getDispersionIndicator(Distribution self) -> OT::NumericalScalar"""
        return _model_copula.Distribution_getDispersionIndicator(self)

    def __init__(self, *args): 
        """
        __init__(OT::Distribution self) -> Distribution
        __init__(OT::Distribution self, DistributionImplementation implementation, OT::String const & name=DefaultName) -> Distribution
        __init__(OT::Distribution self, DistributionImplementation implementation) -> Distribution
        __init__(OT::Distribution self, DistributionImplementationPointer p_implementation, OT::String const & name=DefaultName) -> Distribution
        __init__(OT::Distribution self, DistributionImplementationPointer p_implementation) -> Distribution
        __init__(OT::Distribution self, Distribution other) -> Distribution
        __init__(OT::Distribution self, PyObject * pyObj) -> Distribution
        """
        this = _model_copula.new_Distribution(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_Distribution
    __del__ = lambda self : None;
Distribution_swigregister = _model_copula.Distribution_swigregister
Distribution_swigregister(Distribution)

def Distribution_GetClassName():
  """Distribution_GetClassName() -> OT::String"""
  return _model_copula.Distribution_GetClassName()

class DistributionImplementationFactoryTypedInterfaceObject(openturns.common.InterfaceObject):
    """Proxy of C++ OT::TypedInterfaceObject<(OT::DistributionImplementationFactory)> class"""
    __swig_setmethods__ = {}
    for _s in [openturns.common.InterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionImplementationFactoryTypedInterfaceObject, name, value)
    __swig_getmethods__ = {}
    for _s in [openturns.common.InterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionImplementationFactoryTypedInterfaceObject, name)
    __repr__ = _swig_repr
    def __init__(self, *args): 
        """
        __init__(OT::TypedInterfaceObject<(OT::DistributionImplementationFactory)> self) -> DistributionImplementationFactoryTypedInterfaceObject
        __init__(OT::TypedInterfaceObject<(OT::DistributionImplementationFactory)> self, DistributionImplementationFactoryPointer impl) -> DistributionImplementationFactoryTypedInterfaceObject
        """
        this = _model_copula.new_DistributionImplementationFactoryTypedInterfaceObject(*args)
        try: self.this.append(this)
        except: self.this = this
    def getImplementation(self, *args):
        """
        getImplementation(DistributionImplementationFactoryTypedInterfaceObject self) -> DistributionImplementationFactoryPointer
        getImplementation(DistributionImplementationFactoryTypedInterfaceObject self) -> DistributionImplementationFactoryPointer
        """
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject_getImplementation(self, *args)

    def getImplementationAsPersistentObject(self):
        """getImplementationAsPersistentObject(DistributionImplementationFactoryTypedInterfaceObject self) -> PersistentObjectPointer"""
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject_getImplementationAsPersistentObject(self)

    def setImplementationAsPersistentObject(self, *args):
        """setImplementationAsPersistentObject(DistributionImplementationFactoryTypedInterfaceObject self, PersistentObjectPointer obj)"""
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject_setImplementationAsPersistentObject(self, *args)

    def swap(self, *args):
        """swap(DistributionImplementationFactoryTypedInterfaceObject self, DistributionImplementationFactoryTypedInterfaceObject other)"""
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject_swap(self, *args)

    def setName(self, *args):
        """setName(DistributionImplementationFactoryTypedInterfaceObject self, OT::String const & name)"""
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject_setName(self, *args)

    def getName(self):
        """getName(DistributionImplementationFactoryTypedInterfaceObject self) -> OT::String"""
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject_getName(self)

    def __eq__(self, *args):
        """__eq__(DistributionImplementationFactoryTypedInterfaceObject self, DistributionImplementationFactoryTypedInterfaceObject other) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryTypedInterfaceObject___eq__(self, *args)

    __swig_destroy__ = _model_copula.delete_DistributionImplementationFactoryTypedInterfaceObject
    __del__ = lambda self : None;
DistributionImplementationFactoryTypedInterfaceObject_swigregister = _model_copula.DistributionImplementationFactoryTypedInterfaceObject_swigregister
DistributionImplementationFactoryTypedInterfaceObject_swigregister(DistributionImplementationFactoryTypedInterfaceObject)

class DistributionFactoryCollection(_object):
    """Proxy of C++ OT::Collection<(OT::DistributionFactory)> class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionFactoryCollection, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionFactoryCollection, name)
    __swig_destroy__ = _model_copula.delete_DistributionFactoryCollection
    __del__ = lambda self : None;
    def clear(self):
        """clear(DistributionFactoryCollection self)"""
        return _model_copula.DistributionFactoryCollection_clear(self)

    def __len__(self):
        """__len__(DistributionFactoryCollection self) -> OT::UnsignedLong"""
        return _model_copula.DistributionFactoryCollection___len__(self)

    def __eq__(self, *args):
        """__eq__(DistributionFactoryCollection self, DistributionFactoryCollection rhs) -> OT::Bool"""
        return _model_copula.DistributionFactoryCollection___eq__(self, *args)

    def __contains__(self, *args):
        """__contains__(DistributionFactoryCollection self, DistributionFactory val) -> OT::Bool"""
        return _model_copula.DistributionFactoryCollection___contains__(self, *args)

    def __getitem__(self, *args):
        """__getitem__(DistributionFactoryCollection self, OT::UnsignedLong const i) -> DistributionFactory"""
        return _model_copula.DistributionFactoryCollection___getitem__(self, *args)

    def __setitem__(self, *args):
        """__setitem__(DistributionFactoryCollection self, OT::UnsignedLong const i, DistributionFactory val)"""
        return _model_copula.DistributionFactoryCollection___setitem__(self, *args)

    def __delitem__(self, *args):
        """__delitem__(DistributionFactoryCollection self, OT::UnsignedLong const i)"""
        return _model_copula.DistributionFactoryCollection___delitem__(self, *args)

    def at(self, *args):
        """
        at(DistributionFactoryCollection self, OT::UnsignedLong const i) -> DistributionFactory
        at(DistributionFactoryCollection self, OT::UnsignedLong const i) -> DistributionFactory
        """
        return _model_copula.DistributionFactoryCollection_at(self, *args)

    def add(self, *args):
        """
        add(DistributionFactoryCollection self, DistributionFactory elt)
        add(DistributionFactoryCollection self, DistributionFactoryCollection coll)
        """
        return _model_copula.DistributionFactoryCollection_add(self, *args)

    def getSize(self):
        """getSize(DistributionFactoryCollection self) -> OT::UnsignedLong"""
        return _model_copula.DistributionFactoryCollection_getSize(self)

    def resize(self, *args):
        """resize(DistributionFactoryCollection self, OT::UnsignedLong const newSize)"""
        return _model_copula.DistributionFactoryCollection_resize(self, *args)

    def isEmpty(self):
        """isEmpty(DistributionFactoryCollection self) -> OT::Bool"""
        return _model_copula.DistributionFactoryCollection_isEmpty(self)

    def __repr__(self):
        """__repr__(DistributionFactoryCollection self) -> OT::String"""
        return _model_copula.DistributionFactoryCollection___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionFactoryCollection self, OT::String const & offset="") -> OT::String
        __str__(DistributionFactoryCollection self) -> OT::String
        """
        return _model_copula.DistributionFactoryCollection___str__(self, offset)

    def __init__(self, *args): 
        """
        __init__(OT::Collection<(OT::DistributionFactory)> self) -> DistributionFactoryCollection
        __init__(OT::Collection<(OT::DistributionFactory)> self, OT::UnsignedLong const size) -> DistributionFactoryCollection
        __init__(OT::Collection<(OT::DistributionFactory)> self, OT::UnsignedLong const size, DistributionFactory value) -> DistributionFactoryCollection
        __init__(OT::Collection<(OT::DistributionFactory)> self, PyObject * pyObj) -> DistributionFactoryCollection
        __init__(OT::Collection<(OT::DistributionFactory)> self, DistributionFactoryCollection other) -> DistributionFactoryCollection
        """
        this = _model_copula.new_DistributionFactoryCollection(*args)
        try: self.this.append(this)
        except: self.this = this
DistributionFactoryCollection_swigregister = _model_copula.DistributionFactoryCollection_swigregister
DistributionFactoryCollection_swigregister(DistributionFactoryCollection)

class DistributionFactory(DistributionImplementationFactoryTypedInterfaceObject):
    """Proxy of C++ OT::DistributionFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactoryTypedInterfaceObject]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactoryTypedInterfaceObject]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionFactory, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.DistributionFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(DistributionFactory self) -> OT::String"""
        return _model_copula.DistributionFactory_getClassName(self)

    def __repr__(self):
        """__repr__(DistributionFactory self) -> OT::String"""
        return _model_copula.DistributionFactory___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionFactory self, OT::String const & offset="") -> OT::String
        __str__(DistributionFactory self) -> OT::String
        """
        return _model_copula.DistributionFactory___str__(self, offset)

    def build(self, *args):
        """
        build(DistributionFactory self, NumericalSample sample) -> Distribution
        build(DistributionFactory self, NumericalPointCollection parameters) -> Distribution
        build(DistributionFactory self, NumericalPointWithDescriptionCollection parameters) -> Distribution
        build(DistributionFactory self) -> Distribution
        """
        return _model_copula.DistributionFactory_build(self, *args)

    def GetContinuousUniVariateFactories():
        """GetContinuousUniVariateFactories() -> DistributionFactoryCollection"""
        return _model_copula.DistributionFactory_GetContinuousUniVariateFactories()

    if _newclass:GetContinuousUniVariateFactories = staticmethod(GetContinuousUniVariateFactories)
    __swig_getmethods__["GetContinuousUniVariateFactories"] = lambda x: GetContinuousUniVariateFactories
    def GetContinuousMultiVariateFactories():
        """GetContinuousMultiVariateFactories() -> DistributionFactoryCollection"""
        return _model_copula.DistributionFactory_GetContinuousMultiVariateFactories()

    if _newclass:GetContinuousMultiVariateFactories = staticmethod(GetContinuousMultiVariateFactories)
    __swig_getmethods__["GetContinuousMultiVariateFactories"] = lambda x: GetContinuousMultiVariateFactories
    def GetDiscreteUniVariateFactories():
        """GetDiscreteUniVariateFactories() -> DistributionFactoryCollection"""
        return _model_copula.DistributionFactory_GetDiscreteUniVariateFactories()

    if _newclass:GetDiscreteUniVariateFactories = staticmethod(GetDiscreteUniVariateFactories)
    __swig_getmethods__["GetDiscreteUniVariateFactories"] = lambda x: GetDiscreteUniVariateFactories
    def GetDiscreteMultiVariateFactories():
        """GetDiscreteMultiVariateFactories() -> DistributionFactoryCollection"""
        return _model_copula.DistributionFactory_GetDiscreteMultiVariateFactories()

    if _newclass:GetDiscreteMultiVariateFactories = staticmethod(GetDiscreteMultiVariateFactories)
    __swig_getmethods__["GetDiscreteMultiVariateFactories"] = lambda x: GetDiscreteMultiVariateFactories
    def GetUniVariateFactories():
        """GetUniVariateFactories() -> DistributionFactoryCollection"""
        return _model_copula.DistributionFactory_GetUniVariateFactories()

    if _newclass:GetUniVariateFactories = staticmethod(GetUniVariateFactories)
    __swig_getmethods__["GetUniVariateFactories"] = lambda x: GetUniVariateFactories
    def GetMultiVariateFactories():
        """GetMultiVariateFactories() -> DistributionFactoryCollection"""
        return _model_copula.DistributionFactory_GetMultiVariateFactories()

    if _newclass:GetMultiVariateFactories = staticmethod(GetMultiVariateFactories)
    __swig_getmethods__["GetMultiVariateFactories"] = lambda x: GetMultiVariateFactories
    def __init__(self, *args): 
        """
        __init__(OT::DistributionFactory self, OT::UnsignedLong const bootstrapSize=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementationFactory-DefaultBootstrapSize"), 
            OT::String const & name=DefaultName) -> DistributionFactory
        __init__(OT::DistributionFactory self, OT::UnsignedLong const bootstrapSize=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementationFactory-DefaultBootstrapSize")) -> DistributionFactory
        __init__(OT::DistributionFactory self) -> DistributionFactory
        __init__(OT::DistributionFactory self, DistributionImplementationFactory factory) -> DistributionFactory
        __init__(OT::DistributionFactory self, DistributionFactory other) -> DistributionFactory
        """
        this = _model_copula.new_DistributionFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_DistributionFactory
    __del__ = lambda self : None;
DistributionFactory_swigregister = _model_copula.DistributionFactory_swigregister
DistributionFactory_swigregister(DistributionFactory)

def DistributionFactory_GetClassName():
  """DistributionFactory_GetClassName() -> OT::String"""
  return _model_copula.DistributionFactory_GetClassName()

def DistributionFactory_GetContinuousUniVariateFactories():
  """DistributionFactory_GetContinuousUniVariateFactories() -> DistributionFactoryCollection"""
  return _model_copula.DistributionFactory_GetContinuousUniVariateFactories()

def DistributionFactory_GetContinuousMultiVariateFactories():
  """DistributionFactory_GetContinuousMultiVariateFactories() -> DistributionFactoryCollection"""
  return _model_copula.DistributionFactory_GetContinuousMultiVariateFactories()

def DistributionFactory_GetDiscreteUniVariateFactories():
  """DistributionFactory_GetDiscreteUniVariateFactories() -> DistributionFactoryCollection"""
  return _model_copula.DistributionFactory_GetDiscreteUniVariateFactories()

def DistributionFactory_GetDiscreteMultiVariateFactories():
  """DistributionFactory_GetDiscreteMultiVariateFactories() -> DistributionFactoryCollection"""
  return _model_copula.DistributionFactory_GetDiscreteMultiVariateFactories()

def DistributionFactory_GetUniVariateFactories():
  """DistributionFactory_GetUniVariateFactories() -> DistributionFactoryCollection"""
  return _model_copula.DistributionFactory_GetUniVariateFactories()

def DistributionFactory_GetMultiVariateFactories():
  """DistributionFactory_GetMultiVariateFactories() -> DistributionFactoryCollection"""
  return _model_copula.DistributionFactory_GetMultiVariateFactories()

class UsualDistribution(DistributionImplementation):
    """Proxy of C++ OT::UsualDistribution class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, UsualDistribution, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, UsualDistribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.UsualDistribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(UsualDistribution self) -> OT::String"""
        return _model_copula.UsualDistribution_getClassName(self)

    def __init__(self, *args): 
        """
        __init__(OT::UsualDistribution self, OT::String const & name=DefaultName) -> UsualDistribution
        __init__(OT::UsualDistribution self) -> UsualDistribution
        """
        this = _model_copula.new_UsualDistribution(*args)
        try: self.this.append(this)
        except: self.this = this
    def __repr__(self):
        """__repr__(UsualDistribution self) -> OT::String"""
        return _model_copula.UsualDistribution___repr__(self)

    def isElliptical(self):
        """isElliptical(UsualDistribution self) -> OT::Bool"""
        return _model_copula.UsualDistribution_isElliptical(self)

    def isContinuous(self):
        """isContinuous(UsualDistribution self) -> OT::Bool"""
        return _model_copula.UsualDistribution_isContinuous(self)

    __swig_destroy__ = _model_copula.delete_UsualDistribution
    __del__ = lambda self : None;
UsualDistribution_swigregister = _model_copula.UsualDistribution_swigregister
UsualDistribution_swigregister(UsualDistribution)

def UsualDistribution_GetClassName():
  """UsualDistribution_GetClassName() -> OT::String"""
  return _model_copula.UsualDistribution_GetClassName()

class ContinuousDistribution(UsualDistribution):
    """Proxy of C++ OT::ContinuousDistribution class"""
    __swig_setmethods__ = {}
    for _s in [UsualDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, ContinuousDistribution, name, value)
    __swig_getmethods__ = {}
    for _s in [UsualDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, ContinuousDistribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.ContinuousDistribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(ContinuousDistribution self) -> OT::String"""
        return _model_copula.ContinuousDistribution_getClassName(self)

    def __init__(self, *args): 
        """
        __init__(OT::ContinuousDistribution self, OT::String const & name=DefaultName) -> ContinuousDistribution
        __init__(OT::ContinuousDistribution self) -> ContinuousDistribution
        """
        this = _model_copula.new_ContinuousDistribution(*args)
        try: self.this.append(this)
        except: self.this = this
    def __eq__(self, *args):
        """__eq__(ContinuousDistribution self, ContinuousDistribution other) -> OT::Bool"""
        return _model_copula.ContinuousDistribution___eq__(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(ContinuousDistribution self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ContinuousDistribution_computeConditionalCDF(self, *args)

    def computeDDF(self, *args):
        """
        computeDDF(ContinuousDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(ContinuousDistribution self, NumericalPoint point) -> NumericalPoint
        computeDDF(ContinuousDistribution self, NumericalSample sample) -> NumericalSample
        computeDDF(ContinuousDistribution self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.ContinuousDistribution_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(ContinuousDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(ContinuousDistribution self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(ContinuousDistribution self, NumericalSample sample) -> NumericalSample
        computePDF(ContinuousDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ContinuousDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(ContinuousDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ContinuousDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(ContinuousDistribution self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ContinuousDistribution_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(ContinuousDistribution self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ContinuousDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(ContinuousDistribution self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ContinuousDistribution self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(ContinuousDistribution self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(ContinuousDistribution self, NumericalSample sample) -> NumericalSample
        computeCDF(ContinuousDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ContinuousDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(ContinuousDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ContinuousDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(ContinuousDistribution self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ContinuousDistribution_computeCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(ContinuousDistribution self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.ContinuousDistribution_computeProbability(self, *args)

    def __repr__(self):
        """__repr__(ContinuousDistribution self) -> OT::String"""
        return _model_copula.ContinuousDistribution___repr__(self)

    def isContinuous(self):
        """isContinuous(ContinuousDistribution self) -> OT::Bool"""
        return _model_copula.ContinuousDistribution_isContinuous(self)

    __swig_destroy__ = _model_copula.delete_ContinuousDistribution
    __del__ = lambda self : None;
ContinuousDistribution_swigregister = _model_copula.ContinuousDistribution_swigregister
ContinuousDistribution_swigregister(ContinuousDistribution)

def ContinuousDistribution_GetClassName():
  """ContinuousDistribution_GetClassName() -> OT::String"""
  return _model_copula.ContinuousDistribution_GetClassName()

class EllipticalDistribution(ContinuousDistribution):
    """Proxy of C++ OT::EllipticalDistribution class"""
    __swig_setmethods__ = {}
    for _s in [ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, EllipticalDistribution, name, value)
    __swig_getmethods__ = {}
    for _s in [ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, EllipticalDistribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.EllipticalDistribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(EllipticalDistribution self) -> OT::String"""
        return _model_copula.EllipticalDistribution_getClassName(self)

    def __eq__(self, *args):
        """__eq__(EllipticalDistribution self, EllipticalDistribution other) -> OT::Bool"""
        return _model_copula.EllipticalDistribution___eq__(self, *args)

    def __repr__(self):
        """__repr__(EllipticalDistribution self) -> OT::String"""
        return _model_copula.EllipticalDistribution___repr__(self)

    def isElliptical(self):
        """isElliptical(EllipticalDistribution self) -> OT::Bool"""
        return _model_copula.EllipticalDistribution_isElliptical(self)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(EllipticalDistribution self) -> OT::Bool"""
        return _model_copula.EllipticalDistribution_hasEllipticalCopula(self)

    def computeDDF(self, *args):
        """
        computeDDF(EllipticalDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(EllipticalDistribution self, NumericalPoint point) -> NumericalPoint
        computeDDF(EllipticalDistribution self, NumericalSample sample) -> NumericalSample
        computeDDF(EllipticalDistribution self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.EllipticalDistribution_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(EllipticalDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(EllipticalDistribution self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(EllipticalDistribution self, NumericalSample sample) -> NumericalSample
        computePDF(EllipticalDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(EllipticalDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(EllipticalDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(EllipticalDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(EllipticalDistribution self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.EllipticalDistribution_computePDF(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(EllipticalDistribution self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.EllipticalDistribution_computePDFGradient(self, *args)

    def computeDensityGenerator(self, *args):
        """computeDensityGenerator(EllipticalDistribution self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.EllipticalDistribution_computeDensityGenerator(self, *args)

    def computeLogDensityGenerator(self, *args):
        """computeLogDensityGenerator(EllipticalDistribution self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.EllipticalDistribution_computeLogDensityGenerator(self, *args)

    def computeDensityGeneratorDerivative(self, *args):
        """computeDensityGeneratorDerivative(EllipticalDistribution self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.EllipticalDistribution_computeDensityGeneratorDerivative(self, *args)

    def computeDensityGeneratorSecondDerivative(self, *args):
        """computeDensityGeneratorSecondDerivative(EllipticalDistribution self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.EllipticalDistribution_computeDensityGeneratorSecondDerivative(self, *args)

    def setMean(self, *args):
        """setMean(EllipticalDistribution self, NumericalPoint mean)"""
        return _model_copula.EllipticalDistribution_setMean(self, *args)

    def setSigma(self, *args):
        """setSigma(EllipticalDistribution self, NumericalPoint sigma)"""
        return _model_copula.EllipticalDistribution_setSigma(self, *args)

    def getSigma(self):
        """getSigma(EllipticalDistribution self) -> NumericalPoint"""
        return _model_copula.EllipticalDistribution_getSigma(self)

    def getStandardDeviation(self):
        """getStandardDeviation(EllipticalDistribution self) -> NumericalPoint"""
        return _model_copula.EllipticalDistribution_getStandardDeviation(self)

    def setCorrelation(self, *args):
        """setCorrelation(EllipticalDistribution self, CorrelationMatrix R)"""
        return _model_copula.EllipticalDistribution_setCorrelation(self, *args)

    def getCorrelation(self):
        """getCorrelation(EllipticalDistribution self) -> CorrelationMatrix"""
        return _model_copula.EllipticalDistribution_getCorrelation(self)

    def normalize(self, *args):
        """normalize(EllipticalDistribution self, NumericalPoint x) -> NumericalPoint"""
        return _model_copula.EllipticalDistribution_normalize(self, *args)

    def denormalize(self, *args):
        """denormalize(EllipticalDistribution self, NumericalPoint u) -> NumericalPoint"""
        return _model_copula.EllipticalDistribution_denormalize(self, *args)

    def getInverseCorrelation(self):
        """getInverseCorrelation(EllipticalDistribution self) -> SquareMatrix"""
        return _model_copula.EllipticalDistribution_getInverseCorrelation(self)

    def getCholesky(self):
        """getCholesky(EllipticalDistribution self) -> SquareMatrix"""
        return _model_copula.EllipticalDistribution_getCholesky(self)

    def getInverseCholesky(self):
        """getInverseCholesky(EllipticalDistribution self) -> SquareMatrix"""
        return _model_copula.EllipticalDistribution_getInverseCholesky(self)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(EllipticalDistribution self) -> NumericalMathFunction"""
        return _model_copula.EllipticalDistribution_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(EllipticalDistribution self) -> NumericalMathFunction"""
        return _model_copula.EllipticalDistribution_getInverseIsoProbabilisticTransformation(self)

    def getStandardDistribution(self):
        """getStandardDistribution(EllipticalDistribution self) -> DistributionImplementationPointer"""
        return _model_copula.EllipticalDistribution_getStandardDistribution(self)

    def getParametersCollection(self):
        """getParametersCollection(EllipticalDistribution self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.EllipticalDistribution_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(EllipticalDistribution self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(EllipticalDistribution self, NumericalPointCollection parametersCollection)
        setParametersCollection(EllipticalDistribution self, NumericalPoint parameters)
        setParametersCollection(EllipticalDistribution self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.EllipticalDistribution_setParametersCollection(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::EllipticalDistribution self, NumericalPoint mean, NumericalPoint sigma, CorrelationMatrix R, OT::NumericalScalar const covarianceNormalizationFactor, 
            OT::String const & name=DefaultName) -> EllipticalDistribution
        __init__(OT::EllipticalDistribution self, NumericalPoint mean, NumericalPoint sigma, CorrelationMatrix R, OT::NumericalScalar const covarianceNormalizationFactor) -> EllipticalDistribution
        __init__(OT::EllipticalDistribution self, OT::String const & name=DefaultName) -> EllipticalDistribution
        __init__(OT::EllipticalDistribution self) -> EllipticalDistribution
        __init__(OT::EllipticalDistribution self, EllipticalDistribution other) -> EllipticalDistribution
        """
        this = _model_copula.new_EllipticalDistribution(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_EllipticalDistribution
    __del__ = lambda self : None;
EllipticalDistribution_swigregister = _model_copula.EllipticalDistribution_swigregister
EllipticalDistribution_swigregister(EllipticalDistribution)

def EllipticalDistribution_GetClassName():
  """EllipticalDistribution_GetClassName() -> OT::String"""
  return _model_copula.EllipticalDistribution_GetClassName()

class NonEllipticalDistribution(ContinuousDistribution):
    """Proxy of C++ OT::NonEllipticalDistribution class"""
    __swig_setmethods__ = {}
    for _s in [ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, NonEllipticalDistribution, name, value)
    __swig_getmethods__ = {}
    for _s in [ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, NonEllipticalDistribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.NonEllipticalDistribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(NonEllipticalDistribution self) -> OT::String"""
        return _model_copula.NonEllipticalDistribution_getClassName(self)

    def __init__(self, *args): 
        """
        __init__(OT::NonEllipticalDistribution self, OT::String const & name=DefaultName) -> NonEllipticalDistribution
        __init__(OT::NonEllipticalDistribution self) -> NonEllipticalDistribution
        """
        this = _model_copula.new_NonEllipticalDistribution(*args)
        try: self.this.append(this)
        except: self.this = this
    def __repr__(self):
        """__repr__(NonEllipticalDistribution self) -> OT::String"""
        return _model_copula.NonEllipticalDistribution___repr__(self)

    __swig_destroy__ = _model_copula.delete_NonEllipticalDistribution
    __del__ = lambda self : None;
NonEllipticalDistribution_swigregister = _model_copula.NonEllipticalDistribution_swigregister
NonEllipticalDistribution_swigregister(NonEllipticalDistribution)

def NonEllipticalDistribution_GetClassName():
  """NonEllipticalDistribution_GetClassName() -> OT::String"""
  return _model_copula.NonEllipticalDistribution_GetClassName()

class DiscreteDistribution(UsualDistribution):
    """Proxy of C++ OT::DiscreteDistribution class"""
    __swig_setmethods__ = {}
    for _s in [UsualDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, DiscreteDistribution, name, value)
    __swig_getmethods__ = {}
    for _s in [UsualDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, DiscreteDistribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.DiscreteDistribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(DiscreteDistribution self) -> OT::String"""
        return _model_copula.DiscreteDistribution_getClassName(self)

    def __init__(self, *args): 
        """
        __init__(OT::DiscreteDistribution self, OT::String const & name=DefaultName) -> DiscreteDistribution
        __init__(OT::DiscreteDistribution self) -> DiscreteDistribution
        """
        this = _model_copula.new_DiscreteDistribution(*args)
        try: self.this.append(this)
        except: self.this = this
    def __eq__(self, *args):
        """__eq__(DiscreteDistribution self, DiscreteDistribution other) -> OT::Bool"""
        return _model_copula.DiscreteDistribution___eq__(self, *args)

    def __repr__(self):
        """__repr__(DiscreteDistribution self) -> OT::String"""
        return _model_copula.DiscreteDistribution___repr__(self)

    def isContinuous(self):
        """isContinuous(DiscreteDistribution self) -> OT::Bool"""
        return _model_copula.DiscreteDistribution_isContinuous(self)

    def isDiscrete(self):
        """isDiscrete(DiscreteDistribution self) -> OT::Bool"""
        return _model_copula.DiscreteDistribution_isDiscrete(self)

    def isIntegral(self):
        """isIntegral(DiscreteDistribution self) -> OT::Bool"""
        return _model_copula.DiscreteDistribution_isIntegral(self)

    __swig_destroy__ = _model_copula.delete_DiscreteDistribution
    __del__ = lambda self : None;
DiscreteDistribution_swigregister = _model_copula.DiscreteDistribution_swigregister
DiscreteDistribution_swigregister(DiscreteDistribution)

def DiscreteDistribution_GetClassName():
  """DiscreteDistribution_GetClassName() -> OT::String"""
  return _model_copula.DiscreteDistribution_GetClassName()

class CopulaImplementation(ContinuousDistribution):
    """Proxy of C++ OT::CopulaImplementation class"""
    __swig_setmethods__ = {}
    for _s in [ContinuousDistribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, CopulaImplementation, name, value)
    __swig_getmethods__ = {}
    for _s in [ContinuousDistribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, CopulaImplementation, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.CopulaImplementation_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(CopulaImplementation self) -> OT::String"""
        return _model_copula.CopulaImplementation_getClassName(self)

    def __eq__(self, *args):
        """__eq__(CopulaImplementation self, CopulaImplementation other) -> OT::Bool"""
        return _model_copula.CopulaImplementation___eq__(self, *args)

    def getMean(self):
        """getMean(CopulaImplementation self) -> NumericalPoint"""
        return _model_copula.CopulaImplementation_getMean(self)

    def getStandardDeviation(self):
        """getStandardDeviation(CopulaImplementation self) -> NumericalPoint"""
        return _model_copula.CopulaImplementation_getStandardDeviation(self)

    def getSkewness(self):
        """getSkewness(CopulaImplementation self) -> NumericalPoint"""
        return _model_copula.CopulaImplementation_getSkewness(self)

    def getKurtosis(self):
        """getKurtosis(CopulaImplementation self) -> NumericalPoint"""
        return _model_copula.CopulaImplementation_getKurtosis(self)

    def getMarginal(self, *args):
        """
        getMarginal(CopulaImplementation self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(CopulaImplementation self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.CopulaImplementation_getMarginal(self, *args)

    def getCopula(self):
        """getCopula(CopulaImplementation self) -> DistributionImplementationPointer"""
        return _model_copula.CopulaImplementation_getCopula(self)

    def __repr__(self):
        """__repr__(CopulaImplementation self) -> OT::String"""
        return _model_copula.CopulaImplementation___repr__(self)

    def computeQuantile(self, *args):
        """
        computeQuantile(CopulaImplementation self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(CopulaImplementation self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.CopulaImplementation_computeQuantile(self, *args)

    def drawPDF(self, *args):
        """
        drawPDF(CopulaImplementation self) -> Graph
        drawPDF(CopulaImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawPDF(CopulaImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawPDF(CopulaImplementation self, OT::UnsignedLong const pointNumber) -> Graph
        drawPDF(CopulaImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawPDF(CopulaImplementation self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawPDF(CopulaImplementation self, Indices pointNumber) -> Graph
        drawPDF(CopulaImplementation self, Indices pointNumber) -> Graph
        """
        return _model_copula.CopulaImplementation_drawPDF(self, *args)

    def drawCDF(self, *args):
        """
        drawCDF(CopulaImplementation self) -> Graph
        drawCDF(CopulaImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawCDF(CopulaImplementation self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawCDF(CopulaImplementation self, OT::UnsignedLong const pointNumber) -> Graph
        drawCDF(CopulaImplementation self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawCDF(CopulaImplementation self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawCDF(CopulaImplementation self, Indices pointNumber) -> Graph
        drawCDF(CopulaImplementation self, Indices pointNumber) -> Graph
        """
        return _model_copula.CopulaImplementation_drawCDF(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::CopulaImplementation self, OT::String const & name=DefaultName) -> CopulaImplementation
        __init__(OT::CopulaImplementation self) -> CopulaImplementation
        __init__(OT::CopulaImplementation self, CopulaImplementation other) -> CopulaImplementation
        """
        this = _model_copula.new_CopulaImplementation(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_CopulaImplementation
    __del__ = lambda self : None;
CopulaImplementation_swigregister = _model_copula.CopulaImplementation_swigregister
CopulaImplementation_swigregister(CopulaImplementation)

def CopulaImplementation_GetClassName():
  """CopulaImplementation_GetClassName() -> OT::String"""
  return _model_copula.CopulaImplementation_GetClassName()

class Copula(Distribution):
    """Proxy of C++ OT::Copula class"""
    __swig_setmethods__ = {}
    for _s in [Distribution]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, Copula, name, value)
    __swig_getmethods__ = {}
    for _s in [Distribution]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, Copula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.Copula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(Copula self) -> OT::String"""
        return _model_copula.Copula_getClassName(self)

    def __repr__(self):
        """__repr__(Copula self) -> OT::String"""
        return _model_copula.Copula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(Copula self, OT::String const & offset="") -> OT::String
        __str__(Copula self) -> OT::String
        """
        return _model_copula.Copula___str__(self, offset)

    def __init__(self, *args): 
        """
        __init__(OT::Copula self) -> Copula
        __init__(OT::Copula self, Distribution distribution) -> Copula
        __init__(OT::Copula self, DistributionImplementation implementation, OT::String const & name=DefaultName) -> Copula
        __init__(OT::Copula self, DistributionImplementation implementation) -> Copula
        __init__(OT::Copula self, DistributionImplementationPointer p_implementation, OT::String const & name=DefaultName) -> Copula
        __init__(OT::Copula self, DistributionImplementationPointer p_implementation) -> Copula
        __init__(OT::Copula self, Copula other) -> Copula
        """
        this = _model_copula.new_Copula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_Copula
    __del__ = lambda self : None;
Copula_swigregister = _model_copula.Copula_swigregister
Copula_swigregister(Copula)

def Copula_GetClassName():
  """Copula_GetClassName() -> OT::String"""
  return _model_copula.Copula_GetClassName()

class ArchimedeanCopula(CopulaImplementation):
    """Proxy of C++ OT::ArchimedeanCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, ArchimedeanCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, ArchimedeanCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.ArchimedeanCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(ArchimedeanCopula self) -> OT::String"""
        return _model_copula.ArchimedeanCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(ArchimedeanCopula self, ArchimedeanCopula other) -> OT::Bool"""
        return _model_copula.ArchimedeanCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(ArchimedeanCopula self) -> OT::String"""
        return _model_copula.ArchimedeanCopula___repr__(self)

    def computePDF(self, *args):
        """
        computePDF(ArchimedeanCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(ArchimedeanCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(ArchimedeanCopula self, NumericalSample sample) -> NumericalSample
        computePDF(ArchimedeanCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ArchimedeanCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(ArchimedeanCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ArchimedeanCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(ArchimedeanCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ArchimedeanCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(ArchimedeanCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ArchimedeanCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(ArchimedeanCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ArchimedeanCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(ArchimedeanCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(ArchimedeanCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(ArchimedeanCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ArchimedeanCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(ArchimedeanCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ArchimedeanCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(ArchimedeanCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ArchimedeanCopula_computeCDF(self, *args)

    def computeComplementaryCDF(self, *args):
        """
        computeComplementaryCDF(ArchimedeanCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeComplementaryCDF(ArchimedeanCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeComplementaryCDF(ArchimedeanCopula self, NumericalSample sample) -> NumericalSample
        computeComplementaryCDF(ArchimedeanCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeComplementaryCDF(ArchimedeanCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeComplementaryCDF(ArchimedeanCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ArchimedeanCopula_computeComplementaryCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(ArchimedeanCopula self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.ArchimedeanCopula_computeProbability(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(ArchimedeanCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ArchimedeanCopula_computeConditionalPDF(self, *args)

    def computeArchimedeanGenerator(self, *args):
        """computeArchimedeanGenerator(ArchimedeanCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ArchimedeanCopula_computeArchimedeanGenerator(self, *args)

    def computeInverseArchimedeanGenerator(self, *args):
        """computeInverseArchimedeanGenerator(ArchimedeanCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ArchimedeanCopula_computeInverseArchimedeanGenerator(self, *args)

    def computeArchimedeanGeneratorDerivative(self, *args):
        """computeArchimedeanGeneratorDerivative(ArchimedeanCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ArchimedeanCopula_computeArchimedeanGeneratorDerivative(self, *args)

    def computeArchimedeanGeneratorSecondDerivative(self, *args):
        """computeArchimedeanGeneratorSecondDerivative(ArchimedeanCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ArchimedeanCopula_computeArchimedeanGeneratorSecondDerivative(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(ArchimedeanCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(ArchimedeanCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(ArchimedeanCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.ArchimedeanCopula_getMarginal(self, *args)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(ArchimedeanCopula self) -> OT::Bool"""
        return _model_copula.ArchimedeanCopula_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(ArchimedeanCopula self) -> OT::Bool"""
        return _model_copula.ArchimedeanCopula_hasIndependentCopula(self)

    def __init__(self, *args): 
        """
        __init__(OT::ArchimedeanCopula self, OT::String const & name=DefaultName) -> ArchimedeanCopula
        __init__(OT::ArchimedeanCopula self) -> ArchimedeanCopula
        __init__(OT::ArchimedeanCopula self, ArchimedeanCopula other) -> ArchimedeanCopula
        """
        this = _model_copula.new_ArchimedeanCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_ArchimedeanCopula
    __del__ = lambda self : None;
ArchimedeanCopula_swigregister = _model_copula.ArchimedeanCopula_swigregister
ArchimedeanCopula_swigregister(ArchimedeanCopula)

def ArchimedeanCopula_GetClassName():
  """ArchimedeanCopula_GetClassName() -> OT::String"""
  return _model_copula.ArchimedeanCopula_GetClassName()

class SklarCopula(CopulaImplementation):
    """Proxy of C++ OT::SklarCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, SklarCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, SklarCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.SklarCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(SklarCopula self) -> OT::String"""
        return _model_copula.SklarCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(SklarCopula self, SklarCopula other) -> OT::Bool"""
        return _model_copula.SklarCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(SklarCopula self) -> OT::String"""
        return _model_copula.SklarCopula___repr__(self)

    def getRealization(self):
        """getRealization(SklarCopula self) -> NumericalPoint"""
        return _model_copula.SklarCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(SklarCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(SklarCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(SklarCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(SklarCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.SklarCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(SklarCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(SklarCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(SklarCopula self, NumericalSample sample) -> NumericalSample
        computePDF(SklarCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(SklarCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(SklarCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(SklarCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(SklarCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.SklarCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(SklarCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(SklarCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(SklarCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(SklarCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(SklarCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(SklarCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(SklarCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(SklarCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(SklarCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(SklarCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(SklarCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.SklarCopula_computeCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(SklarCopula self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.SklarCopula_computeProbability(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(SklarCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.SklarCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(SklarCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.SklarCopula_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(SklarCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(SklarCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.SklarCopula_computeQuantile(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(SklarCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.SklarCopula_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(SklarCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.SklarCopula_computeConditionalCDF(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(SklarCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(SklarCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(SklarCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.SklarCopula_getMarginal(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(SklarCopula self) -> NumericalMathFunction"""
        return _model_copula.SklarCopula_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(SklarCopula self) -> NumericalMathFunction"""
        return _model_copula.SklarCopula_getInverseIsoProbabilisticTransformation(self)

    def getStandardDistribution(self):
        """getStandardDistribution(SklarCopula self) -> DistributionImplementationPointer"""
        return _model_copula.SklarCopula_getStandardDistribution(self)

    def getParametersCollection(self):
        """getParametersCollection(SklarCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.SklarCopula_getParametersCollection(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(SklarCopula self) -> OT::Bool"""
        return _model_copula.SklarCopula_hasIndependentCopula(self)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(SklarCopula self) -> OT::Bool"""
        return _model_copula.SklarCopula_hasEllipticalCopula(self)

    def setDistribution(self, *args):
        """setDistribution(SklarCopula self, Distribution distribution)"""
        return _model_copula.SklarCopula_setDistribution(self, *args)

    def getDistribution(self):
        """getDistribution(SklarCopula self) -> Distribution"""
        return _model_copula.SklarCopula_getDistribution(self)

    def __init__(self, *args): 
        """
        __init__(OT::SklarCopula self) -> SklarCopula
        __init__(OT::SklarCopula self, Distribution distribution) -> SklarCopula
        __init__(OT::SklarCopula self, SklarCopula other) -> SklarCopula
        """
        this = _model_copula.new_SklarCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_SklarCopula
    __del__ = lambda self : None;
SklarCopula_swigregister = _model_copula.SklarCopula_swigregister
SklarCopula_swigregister(SklarCopula)

def SklarCopula_GetClassName():
  """SklarCopula_GetClassName() -> OT::String"""
  return _model_copula.SklarCopula_GetClassName()

class AliMikhailHaqCopula(ArchimedeanCopula):
    """Proxy of C++ OT::AliMikhailHaqCopula class"""
    __swig_setmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, AliMikhailHaqCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, AliMikhailHaqCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.AliMikhailHaqCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(AliMikhailHaqCopula self) -> OT::String"""
        return _model_copula.AliMikhailHaqCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(AliMikhailHaqCopula self, AliMikhailHaqCopula other) -> OT::Bool"""
        return _model_copula.AliMikhailHaqCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(AliMikhailHaqCopula self) -> OT::String"""
        return _model_copula.AliMikhailHaqCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(AliMikhailHaqCopula self, OT::String const & offset="") -> OT::String
        __str__(AliMikhailHaqCopula self) -> OT::String
        """
        return _model_copula.AliMikhailHaqCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(AliMikhailHaqCopula self) -> NumericalPoint"""
        return _model_copula.AliMikhailHaqCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(AliMikhailHaqCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(AliMikhailHaqCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(AliMikhailHaqCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(AliMikhailHaqCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.AliMikhailHaqCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(AliMikhailHaqCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(AliMikhailHaqCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(AliMikhailHaqCopula self, NumericalSample sample) -> NumericalSample
        computePDF(AliMikhailHaqCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(AliMikhailHaqCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(AliMikhailHaqCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(AliMikhailHaqCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(AliMikhailHaqCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.AliMikhailHaqCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(AliMikhailHaqCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(AliMikhailHaqCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(AliMikhailHaqCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(AliMikhailHaqCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(AliMikhailHaqCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(AliMikhailHaqCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(AliMikhailHaqCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(AliMikhailHaqCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(AliMikhailHaqCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(AliMikhailHaqCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(AliMikhailHaqCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.AliMikhailHaqCopula_computeCDF(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(AliMikhailHaqCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.AliMikhailHaqCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(AliMikhailHaqCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.AliMikhailHaqCopula_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(AliMikhailHaqCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(AliMikhailHaqCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.AliMikhailHaqCopula_computeQuantile(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(AliMikhailHaqCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(AliMikhailHaqCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_computeConditionalQuantile(self, *args)

    def computeArchimedeanGenerator(self, *args):
        """computeArchimedeanGenerator(AliMikhailHaqCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_computeArchimedeanGenerator(self, *args)

    def computeInverseArchimedeanGenerator(self, *args):
        """computeInverseArchimedeanGenerator(AliMikhailHaqCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_computeInverseArchimedeanGenerator(self, *args)

    def computeArchimedeanGeneratorDerivative(self, *args):
        """computeArchimedeanGeneratorDerivative(AliMikhailHaqCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_computeArchimedeanGeneratorDerivative(self, *args)

    def computeArchimedeanGeneratorSecondDerivative(self, *args):
        """computeArchimedeanGeneratorSecondDerivative(AliMikhailHaqCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_computeArchimedeanGeneratorSecondDerivative(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(AliMikhailHaqCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.AliMikhailHaqCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(AliMikhailHaqCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(AliMikhailHaqCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(AliMikhailHaqCopula self, NumericalPoint parameters)
        setParametersCollection(AliMikhailHaqCopula self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.AliMikhailHaqCopula_setParametersCollection(self, *args)

    def hasIndependentCopula(self):
        """hasIndependentCopula(AliMikhailHaqCopula self) -> OT::Bool"""
        return _model_copula.AliMikhailHaqCopula_hasIndependentCopula(self)

    def setTheta(self, *args):
        """setTheta(AliMikhailHaqCopula self, OT::NumericalScalar const theta)"""
        return _model_copula.AliMikhailHaqCopula_setTheta(self, *args)

    def getTheta(self):
        """getTheta(AliMikhailHaqCopula self) -> OT::NumericalScalar"""
        return _model_copula.AliMikhailHaqCopula_getTheta(self)

    def __init__(self, *args): 
        """
        __init__(OT::AliMikhailHaqCopula self) -> AliMikhailHaqCopula
        __init__(OT::AliMikhailHaqCopula self, OT::NumericalScalar const theta) -> AliMikhailHaqCopula
        __init__(OT::AliMikhailHaqCopula self, AliMikhailHaqCopula other) -> AliMikhailHaqCopula
        """
        this = _model_copula.new_AliMikhailHaqCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_AliMikhailHaqCopula
    __del__ = lambda self : None;
AliMikhailHaqCopula_swigregister = _model_copula.AliMikhailHaqCopula_swigregister
AliMikhailHaqCopula_swigregister(AliMikhailHaqCopula)

def AliMikhailHaqCopula_GetClassName():
  """AliMikhailHaqCopula_GetClassName() -> OT::String"""
  return _model_copula.AliMikhailHaqCopula_GetClassName()

class AliMikhailHaqCopulaFactory(DistributionImplementationFactory):
    """Proxy of C++ OT::AliMikhailHaqCopulaFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, AliMikhailHaqCopulaFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, AliMikhailHaqCopulaFactory, name)
    __repr__ = _swig_repr
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.AliMikhailHaqCopulaFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(AliMikhailHaqCopulaFactory self) -> OT::String"""
        return _model_copula.AliMikhailHaqCopulaFactory_getClassName(self)

    def build(self, *args):
        """
        build(AliMikhailHaqCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(AliMikhailHaqCopulaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(AliMikhailHaqCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(AliMikhailHaqCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(AliMikhailHaqCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(AliMikhailHaqCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(AliMikhailHaqCopulaFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.AliMikhailHaqCopulaFactory_build(self, *args)

    def buildAsAliMikhailHaqCopula(self, *args):
        """
        buildAsAliMikhailHaqCopula(AliMikhailHaqCopulaFactory self, NumericalSample sample) -> AliMikhailHaqCopula
        buildAsAliMikhailHaqCopula(AliMikhailHaqCopulaFactory self, NumericalPointCollection parameters) -> AliMikhailHaqCopula
        buildAsAliMikhailHaqCopula(AliMikhailHaqCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> AliMikhailHaqCopula
        buildAsAliMikhailHaqCopula(AliMikhailHaqCopulaFactory self) -> AliMikhailHaqCopula
        """
        return _model_copula.AliMikhailHaqCopulaFactory_buildAsAliMikhailHaqCopula(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::AliMikhailHaqCopulaFactory self) -> AliMikhailHaqCopulaFactory
        __init__(OT::AliMikhailHaqCopulaFactory self, AliMikhailHaqCopulaFactory other) -> AliMikhailHaqCopulaFactory
        """
        this = _model_copula.new_AliMikhailHaqCopulaFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_AliMikhailHaqCopulaFactory
    __del__ = lambda self : None;
AliMikhailHaqCopulaFactory_swigregister = _model_copula.AliMikhailHaqCopulaFactory_swigregister
AliMikhailHaqCopulaFactory_swigregister(AliMikhailHaqCopulaFactory)

def AliMikhailHaqCopulaFactory_GetClassName():
  """AliMikhailHaqCopulaFactory_GetClassName() -> OT::String"""
  return _model_copula.AliMikhailHaqCopulaFactory_GetClassName()

class IndependentCopula(CopulaImplementation):
    """Proxy of C++ OT::IndependentCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, IndependentCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, IndependentCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.IndependentCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(IndependentCopula self) -> OT::String"""
        return _model_copula.IndependentCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(IndependentCopula self, IndependentCopula other) -> OT::Bool"""
        return _model_copula.IndependentCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(IndependentCopula self) -> OT::String"""
        return _model_copula.IndependentCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(IndependentCopula self, OT::String const & offset="") -> OT::String
        __str__(IndependentCopula self) -> OT::String
        """
        return _model_copula.IndependentCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(IndependentCopula self) -> NumericalPoint"""
        return _model_copula.IndependentCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(IndependentCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(IndependentCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(IndependentCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(IndependentCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.IndependentCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(IndependentCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(IndependentCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(IndependentCopula self, NumericalSample sample) -> NumericalSample
        computePDF(IndependentCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(IndependentCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(IndependentCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(IndependentCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(IndependentCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.IndependentCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(IndependentCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(IndependentCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(IndependentCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(IndependentCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(IndependentCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(IndependentCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(IndependentCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(IndependentCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(IndependentCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(IndependentCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(IndependentCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.IndependentCopula_computeCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(IndependentCopula self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.IndependentCopula_computeProbability(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(IndependentCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.IndependentCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(IndependentCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.IndependentCopula_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(IndependentCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(IndependentCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.IndependentCopula_computeQuantile(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(IndependentCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(IndependentCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(IndependentCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.IndependentCopula_getMarginal(self, *args)

    def computeConditionalDDF(self, *args):
        """computeConditionalDDF(IndependentCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.IndependentCopula_computeConditionalDDF(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(IndependentCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.IndependentCopula_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(IndependentCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.IndependentCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(IndependentCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.IndependentCopula_computeConditionalQuantile(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(IndependentCopula self) -> NumericalMathFunction"""
        return _model_copula.IndependentCopula_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(IndependentCopula self) -> NumericalMathFunction"""
        return _model_copula.IndependentCopula_getInverseIsoProbabilisticTransformation(self)

    def getParametersCollection(self):
        """getParametersCollection(IndependentCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.IndependentCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(IndependentCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(IndependentCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(IndependentCopula self, NumericalPoint parameters)
        setParametersCollection(IndependentCopula self, NumericalPointCollection setParametersCollection)
        """
        return _model_copula.IndependentCopula_setParametersCollection(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::IndependentCopula self, OT::UnsignedLong const dimension=1) -> IndependentCopula
        __init__(OT::IndependentCopula self) -> IndependentCopula
        __init__(OT::IndependentCopula self, IndependentCopula other) -> IndependentCopula
        """
        this = _model_copula.new_IndependentCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_IndependentCopula
    __del__ = lambda self : None;
IndependentCopula_swigregister = _model_copula.IndependentCopula_swigregister
IndependentCopula_swigregister(IndependentCopula)

def IndependentCopula_GetClassName():
  """IndependentCopula_GetClassName() -> OT::String"""
  return _model_copula.IndependentCopula_GetClassName()

class MinCopula(CopulaImplementation):
    """Proxy of C++ OT::MinCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, MinCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, MinCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.MinCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(MinCopula self) -> OT::String"""
        return _model_copula.MinCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(MinCopula self, MinCopula other) -> OT::Bool"""
        return _model_copula.MinCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(MinCopula self) -> OT::String"""
        return _model_copula.MinCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(MinCopula self, OT::String const & offset="") -> OT::String
        __str__(MinCopula self) -> OT::String
        """
        return _model_copula.MinCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(MinCopula self) -> NumericalPoint"""
        return _model_copula.MinCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(MinCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(MinCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(MinCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(MinCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.MinCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(MinCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(MinCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(MinCopula self, NumericalSample sample) -> NumericalSample
        computePDF(MinCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(MinCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(MinCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(MinCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(MinCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.MinCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(MinCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(MinCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(MinCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(MinCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(MinCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(MinCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(MinCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(MinCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(MinCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(MinCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(MinCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.MinCopula_computeCDF(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(MinCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(MinCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.MinCopula_computeQuantile(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(MinCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(MinCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(MinCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.MinCopula_getMarginal(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(MinCopula self) -> NumericalMathFunction"""
        return _model_copula.MinCopula_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(MinCopula self) -> NumericalMathFunction"""
        return _model_copula.MinCopula_getInverseIsoProbabilisticTransformation(self)

    def isElliptical(self):
        """isElliptical(MinCopula self) -> OT::Bool"""
        return _model_copula.MinCopula_isElliptical(self)

    def isContinuous(self):
        """isContinuous(MinCopula self) -> OT::Bool"""
        return _model_copula.MinCopula_isContinuous(self)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(MinCopula self) -> OT::Bool"""
        return _model_copula.MinCopula_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(MinCopula self) -> OT::Bool"""
        return _model_copula.MinCopula_hasIndependentCopula(self)

    def getParametersCollection(self):
        """getParametersCollection(MinCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.MinCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(MinCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(MinCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(MinCopula self, NumericalPoint parameters)
        setParametersCollection(MinCopula self, NumericalPointCollection setParametersCollection)
        """
        return _model_copula.MinCopula_setParametersCollection(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::MinCopula self, OT::UnsignedLong const dim=1) -> MinCopula
        __init__(OT::MinCopula self) -> MinCopula
        __init__(OT::MinCopula self, MinCopula other) -> MinCopula
        """
        this = _model_copula.new_MinCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_MinCopula
    __del__ = lambda self : None;
MinCopula_swigregister = _model_copula.MinCopula_swigregister
MinCopula_swigregister(MinCopula)

def MinCopula_GetClassName():
  """MinCopula_GetClassName() -> OT::String"""
  return _model_copula.MinCopula_GetClassName()

class NormalCopula(CopulaImplementation):
    """Proxy of C++ OT::NormalCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, NormalCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, NormalCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.NormalCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(NormalCopula self) -> OT::String"""
        return _model_copula.NormalCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(NormalCopula self, NormalCopula other) -> OT::Bool"""
        return _model_copula.NormalCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(NormalCopula self) -> OT::String"""
        return _model_copula.NormalCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(NormalCopula self, OT::String const & offset="") -> OT::String
        __str__(NormalCopula self) -> OT::String
        """
        return _model_copula.NormalCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(NormalCopula self) -> NumericalPoint"""
        return _model_copula.NormalCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(NormalCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(NormalCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(NormalCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(NormalCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.NormalCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(NormalCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(NormalCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(NormalCopula self, NumericalSample sample) -> NumericalSample
        computePDF(NormalCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(NormalCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(NormalCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(NormalCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(NormalCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.NormalCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(NormalCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(NormalCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(NormalCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(NormalCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(NormalCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(NormalCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(NormalCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(NormalCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(NormalCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(NormalCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(NormalCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.NormalCopula_computeCDF(self, *args)

    def computeComplementaryCDF(self, *args):
        """
        computeComplementaryCDF(NormalCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeComplementaryCDF(NormalCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeComplementaryCDF(NormalCopula self, NumericalSample sample) -> NumericalSample
        computeComplementaryCDF(NormalCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeComplementaryCDF(NormalCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeComplementaryCDF(NormalCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.NormalCopula_computeComplementaryCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(NormalCopula self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.NormalCopula_computeProbability(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(NormalCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.NormalCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(NormalCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.NormalCopula_computeCDFGradient(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(NormalCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.NormalCopula_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(NormalCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.NormalCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(NormalCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.NormalCopula_computeConditionalQuantile(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(NormalCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(NormalCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(NormalCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.NormalCopula_getMarginal(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(NormalCopula self) -> NumericalMathFunction"""
        return _model_copula.NormalCopula_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(NormalCopula self) -> NumericalMathFunction"""
        return _model_copula.NormalCopula_getInverseIsoProbabilisticTransformation(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(NormalCopula self) -> OT::Bool"""
        return _model_copula.NormalCopula_hasIndependentCopula(self)

    def getParametersCollection(self):
        """getParametersCollection(NormalCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.NormalCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(NormalCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(NormalCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(NormalCopula self, NumericalPoint parameters)
        setParametersCollection(NormalCopula self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.NormalCopula_setParametersCollection(self, *args)

    def GetCorrelationFromSpearmanCorrelation(*args):
        """GetCorrelationFromSpearmanCorrelation(CorrelationMatrix matrix) -> CorrelationMatrix"""
        return _model_copula.NormalCopula_GetCorrelationFromSpearmanCorrelation(*args)

    if _newclass:GetCorrelationFromSpearmanCorrelation = staticmethod(GetCorrelationFromSpearmanCorrelation)
    __swig_getmethods__["GetCorrelationFromSpearmanCorrelation"] = lambda x: GetCorrelationFromSpearmanCorrelation
    def GetCorrelationFromKendallCorrelation(*args):
        """GetCorrelationFromKendallCorrelation(CorrelationMatrix matrix) -> CorrelationMatrix"""
        return _model_copula.NormalCopula_GetCorrelationFromKendallCorrelation(*args)

    if _newclass:GetCorrelationFromKendallCorrelation = staticmethod(GetCorrelationFromKendallCorrelation)
    __swig_getmethods__["GetCorrelationFromKendallCorrelation"] = lambda x: GetCorrelationFromKendallCorrelation
    def __init__(self, *args): 
        """
        __init__(OT::NormalCopula self, OT::UnsignedLong const dim=1) -> NormalCopula
        __init__(OT::NormalCopula self) -> NormalCopula
        __init__(OT::NormalCopula self, CorrelationMatrix correlation) -> NormalCopula
        __init__(OT::NormalCopula self, NormalCopula other) -> NormalCopula
        """
        this = _model_copula.new_NormalCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_NormalCopula
    __del__ = lambda self : None;
NormalCopula_swigregister = _model_copula.NormalCopula_swigregister
NormalCopula_swigregister(NormalCopula)

def NormalCopula_GetClassName():
  """NormalCopula_GetClassName() -> OT::String"""
  return _model_copula.NormalCopula_GetClassName()

def NormalCopula_GetCorrelationFromSpearmanCorrelation(*args):
  """NormalCopula_GetCorrelationFromSpearmanCorrelation(CorrelationMatrix matrix) -> CorrelationMatrix"""
  return _model_copula.NormalCopula_GetCorrelationFromSpearmanCorrelation(*args)

def NormalCopula_GetCorrelationFromKendallCorrelation(*args):
  """NormalCopula_GetCorrelationFromKendallCorrelation(CorrelationMatrix matrix) -> CorrelationMatrix"""
  return _model_copula.NormalCopula_GetCorrelationFromKendallCorrelation(*args)

class NormalCopulaFactory(DistributionImplementationFactory):
    """Proxy of C++ OT::NormalCopulaFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, NormalCopulaFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, NormalCopulaFactory, name)
    __repr__ = _swig_repr
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.NormalCopulaFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(NormalCopulaFactory self) -> OT::String"""
        return _model_copula.NormalCopulaFactory_getClassName(self)

    def build(self, *args):
        """
        build(NormalCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(NormalCopulaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(NormalCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(NormalCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(NormalCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(NormalCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(NormalCopulaFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.NormalCopulaFactory_build(self, *args)

    def buildAsNormalCopula(self, *args):
        """
        buildAsNormalCopula(NormalCopulaFactory self, NumericalSample sample) -> NormalCopula
        buildAsNormalCopula(NormalCopulaFactory self, NumericalPointCollection parameters) -> NormalCopula
        buildAsNormalCopula(NormalCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> NormalCopula
        buildAsNormalCopula(NormalCopulaFactory self) -> NormalCopula
        """
        return _model_copula.NormalCopulaFactory_buildAsNormalCopula(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::NormalCopulaFactory self) -> NormalCopulaFactory
        __init__(OT::NormalCopulaFactory self, NormalCopulaFactory other) -> NormalCopulaFactory
        """
        this = _model_copula.new_NormalCopulaFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_NormalCopulaFactory
    __del__ = lambda self : None;
NormalCopulaFactory_swigregister = _model_copula.NormalCopulaFactory_swigregister
NormalCopulaFactory_swigregister(NormalCopulaFactory)

def NormalCopulaFactory_GetClassName():
  """NormalCopulaFactory_GetClassName() -> OT::String"""
  return _model_copula.NormalCopulaFactory_GetClassName()

class FarlieGumbelMorgensternCopula(CopulaImplementation):
    """Proxy of C++ OT::FarlieGumbelMorgensternCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, FarlieGumbelMorgensternCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, FarlieGumbelMorgensternCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.FarlieGumbelMorgensternCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(FarlieGumbelMorgensternCopula self) -> OT::String"""
        return _model_copula.FarlieGumbelMorgensternCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(FarlieGumbelMorgensternCopula self, FarlieGumbelMorgensternCopula other) -> OT::Bool"""
        return _model_copula.FarlieGumbelMorgensternCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(FarlieGumbelMorgensternCopula self) -> OT::String"""
        return _model_copula.FarlieGumbelMorgensternCopula___repr__(self)

    def getRealization(self):
        """getRealization(FarlieGumbelMorgensternCopula self) -> NumericalPoint"""
        return _model_copula.FarlieGumbelMorgensternCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(FarlieGumbelMorgensternCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.FarlieGumbelMorgensternCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(FarlieGumbelMorgensternCopula self, NumericalSample sample) -> NumericalSample
        computePDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(FarlieGumbelMorgensternCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(FarlieGumbelMorgensternCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.FarlieGumbelMorgensternCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.FarlieGumbelMorgensternCopula_computeCDF(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.FarlieGumbelMorgensternCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(FarlieGumbelMorgensternCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.FarlieGumbelMorgensternCopula_computeCDFGradient(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.FarlieGumbelMorgensternCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.FarlieGumbelMorgensternCopula_computeConditionalQuantile(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(FarlieGumbelMorgensternCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.FarlieGumbelMorgensternCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(FarlieGumbelMorgensternCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(FarlieGumbelMorgensternCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(FarlieGumbelMorgensternCopula self, NumericalPoint parameters)
        setParametersCollection(FarlieGumbelMorgensternCopula self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.FarlieGumbelMorgensternCopula_setParametersCollection(self, *args)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(FarlieGumbelMorgensternCopula self) -> OT::Bool"""
        return _model_copula.FarlieGumbelMorgensternCopula_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(FarlieGumbelMorgensternCopula self) -> OT::Bool"""
        return _model_copula.FarlieGumbelMorgensternCopula_hasIndependentCopula(self)

    def setTheta(self, *args):
        """setTheta(FarlieGumbelMorgensternCopula self, OT::NumericalScalar const theta)"""
        return _model_copula.FarlieGumbelMorgensternCopula_setTheta(self, *args)

    def getTheta(self):
        """getTheta(FarlieGumbelMorgensternCopula self) -> OT::NumericalScalar"""
        return _model_copula.FarlieGumbelMorgensternCopula_getTheta(self)

    def getMarginal(self, *args):
        """
        getMarginal(FarlieGumbelMorgensternCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(FarlieGumbelMorgensternCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(FarlieGumbelMorgensternCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.FarlieGumbelMorgensternCopula_getMarginal(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::FarlieGumbelMorgensternCopula self) -> FarlieGumbelMorgensternCopula
        __init__(OT::FarlieGumbelMorgensternCopula self, OT::NumericalScalar const theta) -> FarlieGumbelMorgensternCopula
        __init__(OT::FarlieGumbelMorgensternCopula self, FarlieGumbelMorgensternCopula other) -> FarlieGumbelMorgensternCopula
        """
        this = _model_copula.new_FarlieGumbelMorgensternCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_FarlieGumbelMorgensternCopula
    __del__ = lambda self : None;
FarlieGumbelMorgensternCopula_swigregister = _model_copula.FarlieGumbelMorgensternCopula_swigregister
FarlieGumbelMorgensternCopula_swigregister(FarlieGumbelMorgensternCopula)

def FarlieGumbelMorgensternCopula_GetClassName():
  """FarlieGumbelMorgensternCopula_GetClassName() -> OT::String"""
  return _model_copula.FarlieGumbelMorgensternCopula_GetClassName()

class FarlieGumbelMorgensternCopulaFactory(DistributionImplementationFactory):
    """Proxy of C++ OT::FarlieGumbelMorgensternCopulaFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, FarlieGumbelMorgensternCopulaFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, FarlieGumbelMorgensternCopulaFactory, name)
    __repr__ = _swig_repr
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.FarlieGumbelMorgensternCopulaFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(FarlieGumbelMorgensternCopulaFactory self) -> OT::String"""
        return _model_copula.FarlieGumbelMorgensternCopulaFactory_getClassName(self)

    def build(self, *args):
        """
        build(FarlieGumbelMorgensternCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(FarlieGumbelMorgensternCopulaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(FarlieGumbelMorgensternCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(FarlieGumbelMorgensternCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(FarlieGumbelMorgensternCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(FarlieGumbelMorgensternCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(FarlieGumbelMorgensternCopulaFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.FarlieGumbelMorgensternCopulaFactory_build(self, *args)

    def buildAsFarlieGumbelMorgensternCopula(self, *args):
        """
        buildAsFarlieGumbelMorgensternCopula(FarlieGumbelMorgensternCopulaFactory self, NumericalSample sample) -> FarlieGumbelMorgensternCopula
        buildAsFarlieGumbelMorgensternCopula(FarlieGumbelMorgensternCopulaFactory self, NumericalPointCollection parameters) -> FarlieGumbelMorgensternCopula
        buildAsFarlieGumbelMorgensternCopula(FarlieGumbelMorgensternCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> FarlieGumbelMorgensternCopula
        buildAsFarlieGumbelMorgensternCopula(FarlieGumbelMorgensternCopulaFactory self) -> FarlieGumbelMorgensternCopula
        """
        return _model_copula.FarlieGumbelMorgensternCopulaFactory_buildAsFarlieGumbelMorgensternCopula(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::FarlieGumbelMorgensternCopulaFactory self) -> FarlieGumbelMorgensternCopulaFactory
        __init__(OT::FarlieGumbelMorgensternCopulaFactory self, FarlieGumbelMorgensternCopulaFactory other) -> FarlieGumbelMorgensternCopulaFactory
        """
        this = _model_copula.new_FarlieGumbelMorgensternCopulaFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_FarlieGumbelMorgensternCopulaFactory
    __del__ = lambda self : None;
FarlieGumbelMorgensternCopulaFactory_swigregister = _model_copula.FarlieGumbelMorgensternCopulaFactory_swigregister
FarlieGumbelMorgensternCopulaFactory_swigregister(FarlieGumbelMorgensternCopulaFactory)

def FarlieGumbelMorgensternCopulaFactory_GetClassName():
  """FarlieGumbelMorgensternCopulaFactory_GetClassName() -> OT::String"""
  return _model_copula.FarlieGumbelMorgensternCopulaFactory_GetClassName()

class FrankCopula(ArchimedeanCopula):
    """Proxy of C++ OT::FrankCopula class"""
    __swig_setmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, FrankCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, FrankCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.FrankCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(FrankCopula self) -> OT::String"""
        return _model_copula.FrankCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(FrankCopula self, FrankCopula other) -> OT::Bool"""
        return _model_copula.FrankCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(FrankCopula self) -> OT::String"""
        return _model_copula.FrankCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(FrankCopula self, OT::String const & offset="") -> OT::String
        __str__(FrankCopula self) -> OT::String
        """
        return _model_copula.FrankCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(FrankCopula self) -> NumericalPoint"""
        return _model_copula.FrankCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(FrankCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(FrankCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(FrankCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(FrankCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.FrankCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(FrankCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(FrankCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(FrankCopula self, NumericalSample sample) -> NumericalSample
        computePDF(FrankCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(FrankCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(FrankCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(FrankCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(FrankCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.FrankCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(FrankCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(FrankCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(FrankCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(FrankCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(FrankCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(FrankCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(FrankCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(FrankCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(FrankCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(FrankCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(FrankCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.FrankCopula_computeCDF(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(FrankCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.FrankCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(FrankCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.FrankCopula_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(FrankCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(FrankCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.FrankCopula_computeQuantile(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(FrankCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(FrankCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_computeConditionalQuantile(self, *args)

    def computeArchimedeanGenerator(self, *args):
        """computeArchimedeanGenerator(FrankCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_computeArchimedeanGenerator(self, *args)

    def computeInverseArchimedeanGenerator(self, *args):
        """computeInverseArchimedeanGenerator(FrankCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_computeInverseArchimedeanGenerator(self, *args)

    def computeArchimedeanGeneratorDerivative(self, *args):
        """computeArchimedeanGeneratorDerivative(FrankCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_computeArchimedeanGeneratorDerivative(self, *args)

    def computeArchimedeanGeneratorSecondDerivative(self, *args):
        """computeArchimedeanGeneratorSecondDerivative(FrankCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_computeArchimedeanGeneratorSecondDerivative(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(FrankCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.FrankCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(FrankCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(FrankCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(FrankCopula self, NumericalPoint parameters)
        setParametersCollection(FrankCopula self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.FrankCopula_setParametersCollection(self, *args)

    def hasIndependentCopula(self):
        """hasIndependentCopula(FrankCopula self) -> OT::Bool"""
        return _model_copula.FrankCopula_hasIndependentCopula(self)

    def setTheta(self, *args):
        """setTheta(FrankCopula self, OT::NumericalScalar const theta)"""
        return _model_copula.FrankCopula_setTheta(self, *args)

    def getTheta(self):
        """getTheta(FrankCopula self) -> OT::NumericalScalar"""
        return _model_copula.FrankCopula_getTheta(self)

    def __init__(self, *args): 
        """
        __init__(OT::FrankCopula self) -> FrankCopula
        __init__(OT::FrankCopula self, OT::NumericalScalar const theta) -> FrankCopula
        __init__(OT::FrankCopula self, FrankCopula other) -> FrankCopula
        """
        this = _model_copula.new_FrankCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_FrankCopula
    __del__ = lambda self : None;
FrankCopula_swigregister = _model_copula.FrankCopula_swigregister
FrankCopula_swigregister(FrankCopula)

def FrankCopula_GetClassName():
  """FrankCopula_GetClassName() -> OT::String"""
  return _model_copula.FrankCopula_GetClassName()

class FrankCopulaFactory(DistributionImplementationFactory):
    """Proxy of C++ OT::FrankCopulaFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, FrankCopulaFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, FrankCopulaFactory, name)
    __repr__ = _swig_repr
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.FrankCopulaFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(FrankCopulaFactory self) -> OT::String"""
        return _model_copula.FrankCopulaFactory_getClassName(self)

    def build(self, *args):
        """
        build(FrankCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(FrankCopulaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(FrankCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(FrankCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(FrankCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(FrankCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(FrankCopulaFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.FrankCopulaFactory_build(self, *args)

    def buildAsFrankCopula(self, *args):
        """
        buildAsFrankCopula(FrankCopulaFactory self, NumericalSample sample) -> FrankCopula
        buildAsFrankCopula(FrankCopulaFactory self, NumericalPointCollection parameters) -> FrankCopula
        buildAsFrankCopula(FrankCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> FrankCopula
        buildAsFrankCopula(FrankCopulaFactory self) -> FrankCopula
        """
        return _model_copula.FrankCopulaFactory_buildAsFrankCopula(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::FrankCopulaFactory self) -> FrankCopulaFactory
        __init__(OT::FrankCopulaFactory self, FrankCopulaFactory other) -> FrankCopulaFactory
        """
        this = _model_copula.new_FrankCopulaFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_FrankCopulaFactory
    __del__ = lambda self : None;
FrankCopulaFactory_swigregister = _model_copula.FrankCopulaFactory_swigregister
FrankCopulaFactory_swigregister(FrankCopulaFactory)

def FrankCopulaFactory_GetClassName():
  """FrankCopulaFactory_GetClassName() -> OT::String"""
  return _model_copula.FrankCopulaFactory_GetClassName()

class ClaytonCopula(ArchimedeanCopula):
    """Proxy of C++ OT::ClaytonCopula class"""
    __swig_setmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, ClaytonCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, ClaytonCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.ClaytonCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(ClaytonCopula self) -> OT::String"""
        return _model_copula.ClaytonCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(ClaytonCopula self, ClaytonCopula other) -> OT::Bool"""
        return _model_copula.ClaytonCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(ClaytonCopula self) -> OT::String"""
        return _model_copula.ClaytonCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(ClaytonCopula self, OT::String const & offset="") -> OT::String
        __str__(ClaytonCopula self) -> OT::String
        """
        return _model_copula.ClaytonCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(ClaytonCopula self) -> NumericalPoint"""
        return _model_copula.ClaytonCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(ClaytonCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(ClaytonCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(ClaytonCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(ClaytonCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.ClaytonCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(ClaytonCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(ClaytonCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(ClaytonCopula self, NumericalSample sample) -> NumericalSample
        computePDF(ClaytonCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ClaytonCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(ClaytonCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ClaytonCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(ClaytonCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ClaytonCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(ClaytonCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ClaytonCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(ClaytonCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ClaytonCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(ClaytonCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(ClaytonCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(ClaytonCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ClaytonCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(ClaytonCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ClaytonCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(ClaytonCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ClaytonCopula_computeCDF(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(ClaytonCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.ClaytonCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(ClaytonCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.ClaytonCopula_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(ClaytonCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(ClaytonCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.ClaytonCopula_computeQuantile(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(ClaytonCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(ClaytonCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_computeConditionalQuantile(self, *args)

    def computeArchimedeanGenerator(self, *args):
        """computeArchimedeanGenerator(ClaytonCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_computeArchimedeanGenerator(self, *args)

    def computeInverseArchimedeanGenerator(self, *args):
        """computeInverseArchimedeanGenerator(ClaytonCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_computeInverseArchimedeanGenerator(self, *args)

    def computeArchimedeanGeneratorDerivative(self, *args):
        """computeArchimedeanGeneratorDerivative(ClaytonCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_computeArchimedeanGeneratorDerivative(self, *args)

    def computeArchimedeanGeneratorSecondDerivative(self, *args):
        """computeArchimedeanGeneratorSecondDerivative(ClaytonCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_computeArchimedeanGeneratorSecondDerivative(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(ClaytonCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.ClaytonCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(ClaytonCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(ClaytonCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(ClaytonCopula self, NumericalPoint parameters)
        setParametersCollection(ClaytonCopula self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.ClaytonCopula_setParametersCollection(self, *args)

    def hasIndependentCopula(self):
        """hasIndependentCopula(ClaytonCopula self) -> OT::Bool"""
        return _model_copula.ClaytonCopula_hasIndependentCopula(self)

    def setTheta(self, *args):
        """setTheta(ClaytonCopula self, OT::NumericalScalar const theta)"""
        return _model_copula.ClaytonCopula_setTheta(self, *args)

    def getTheta(self):
        """getTheta(ClaytonCopula self) -> OT::NumericalScalar"""
        return _model_copula.ClaytonCopula_getTheta(self)

    def __init__(self, *args): 
        """
        __init__(OT::ClaytonCopula self) -> ClaytonCopula
        __init__(OT::ClaytonCopula self, OT::NumericalScalar const theta) -> ClaytonCopula
        __init__(OT::ClaytonCopula self, ClaytonCopula other) -> ClaytonCopula
        """
        this = _model_copula.new_ClaytonCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_ClaytonCopula
    __del__ = lambda self : None;
ClaytonCopula_swigregister = _model_copula.ClaytonCopula_swigregister
ClaytonCopula_swigregister(ClaytonCopula)

def ClaytonCopula_GetClassName():
  """ClaytonCopula_GetClassName() -> OT::String"""
  return _model_copula.ClaytonCopula_GetClassName()

class ClaytonCopulaFactory(DistributionImplementationFactory):
    """Proxy of C++ OT::ClaytonCopulaFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, ClaytonCopulaFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, ClaytonCopulaFactory, name)
    __repr__ = _swig_repr
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.ClaytonCopulaFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(ClaytonCopulaFactory self) -> OT::String"""
        return _model_copula.ClaytonCopulaFactory_getClassName(self)

    def build(self, *args):
        """
        build(ClaytonCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(ClaytonCopulaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(ClaytonCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(ClaytonCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(ClaytonCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(ClaytonCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(ClaytonCopulaFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.ClaytonCopulaFactory_build(self, *args)

    def buildAsClaytonCopula(self, *args):
        """
        buildAsClaytonCopula(ClaytonCopulaFactory self, NumericalSample sample) -> ClaytonCopula
        buildAsClaytonCopula(ClaytonCopulaFactory self, NumericalPointCollection parameters) -> ClaytonCopula
        buildAsClaytonCopula(ClaytonCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> ClaytonCopula
        buildAsClaytonCopula(ClaytonCopulaFactory self) -> ClaytonCopula
        """
        return _model_copula.ClaytonCopulaFactory_buildAsClaytonCopula(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::ClaytonCopulaFactory self) -> ClaytonCopulaFactory
        __init__(OT::ClaytonCopulaFactory self, ClaytonCopulaFactory other) -> ClaytonCopulaFactory
        """
        this = _model_copula.new_ClaytonCopulaFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_ClaytonCopulaFactory
    __del__ = lambda self : None;
ClaytonCopulaFactory_swigregister = _model_copula.ClaytonCopulaFactory_swigregister
ClaytonCopulaFactory_swigregister(ClaytonCopulaFactory)

def ClaytonCopulaFactory_GetClassName():
  """ClaytonCopulaFactory_GetClassName() -> OT::String"""
  return _model_copula.ClaytonCopulaFactory_GetClassName()

class GumbelCopula(ArchimedeanCopula):
    """Proxy of C++ OT::GumbelCopula class"""
    __swig_setmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, GumbelCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [ArchimedeanCopula]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, GumbelCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.GumbelCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(GumbelCopula self) -> OT::String"""
        return _model_copula.GumbelCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(GumbelCopula self, GumbelCopula other) -> OT::Bool"""
        return _model_copula.GumbelCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(GumbelCopula self) -> OT::String"""
        return _model_copula.GumbelCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(GumbelCopula self, OT::String const & offset="") -> OT::String
        __str__(GumbelCopula self) -> OT::String
        """
        return _model_copula.GumbelCopula___str__(self, offset)

    def getRealization(self):
        """getRealization(GumbelCopula self) -> NumericalPoint"""
        return _model_copula.GumbelCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(GumbelCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(GumbelCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(GumbelCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(GumbelCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.GumbelCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(GumbelCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(GumbelCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(GumbelCopula self, NumericalSample sample) -> NumericalSample
        computePDF(GumbelCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(GumbelCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(GumbelCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(GumbelCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(GumbelCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.GumbelCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(GumbelCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(GumbelCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(GumbelCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(GumbelCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(GumbelCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(GumbelCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(GumbelCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(GumbelCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(GumbelCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(GumbelCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(GumbelCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.GumbelCopula_computeCDF(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(GumbelCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.GumbelCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(GumbelCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.GumbelCopula_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(GumbelCopula self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(GumbelCopula self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.GumbelCopula_computeQuantile(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(GumbelCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(GumbelCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_computeConditionalQuantile(self, *args)

    def computeArchimedeanGenerator(self, *args):
        """computeArchimedeanGenerator(GumbelCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_computeArchimedeanGenerator(self, *args)

    def computeInverseArchimedeanGenerator(self, *args):
        """computeInverseArchimedeanGenerator(GumbelCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_computeInverseArchimedeanGenerator(self, *args)

    def computeArchimedeanGeneratorDerivative(self, *args):
        """computeArchimedeanGeneratorDerivative(GumbelCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_computeArchimedeanGeneratorDerivative(self, *args)

    def computeArchimedeanGeneratorSecondDerivative(self, *args):
        """computeArchimedeanGeneratorSecondDerivative(GumbelCopula self, OT::NumericalScalar const t) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_computeArchimedeanGeneratorSecondDerivative(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(GumbelCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.GumbelCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(GumbelCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(GumbelCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(GumbelCopula self, NumericalPoint parameters)
        setParametersCollection(GumbelCopula self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.GumbelCopula_setParametersCollection(self, *args)

    def hasIndependentCopula(self):
        """hasIndependentCopula(GumbelCopula self) -> OT::Bool"""
        return _model_copula.GumbelCopula_hasIndependentCopula(self)

    def setTheta(self, *args):
        """setTheta(GumbelCopula self, OT::NumericalScalar const theta)"""
        return _model_copula.GumbelCopula_setTheta(self, *args)

    def getTheta(self):
        """getTheta(GumbelCopula self) -> OT::NumericalScalar"""
        return _model_copula.GumbelCopula_getTheta(self)

    def __init__(self, *args): 
        """
        __init__(OT::GumbelCopula self) -> GumbelCopula
        __init__(OT::GumbelCopula self, OT::NumericalScalar const theta) -> GumbelCopula
        __init__(OT::GumbelCopula self, GumbelCopula other) -> GumbelCopula
        """
        this = _model_copula.new_GumbelCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_GumbelCopula
    __del__ = lambda self : None;
GumbelCopula_swigregister = _model_copula.GumbelCopula_swigregister
GumbelCopula_swigregister(GumbelCopula)

def GumbelCopula_GetClassName():
  """GumbelCopula_GetClassName() -> OT::String"""
  return _model_copula.GumbelCopula_GetClassName()

class GumbelCopulaFactory(DistributionImplementationFactory):
    """Proxy of C++ OT::GumbelCopulaFactory class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, GumbelCopulaFactory, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementationFactory]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, GumbelCopulaFactory, name)
    __repr__ = _swig_repr
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.GumbelCopulaFactory_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(GumbelCopulaFactory self) -> OT::String"""
        return _model_copula.GumbelCopulaFactory_getClassName(self)

    def build(self, *args):
        """
        build(GumbelCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(GumbelCopulaFactory self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(GumbelCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(GumbelCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(GumbelCopulaFactory self, NumericalSample sample) -> DistributionImplementationPointer
        build(GumbelCopulaFactory self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(GumbelCopulaFactory self) -> DistributionImplementationPointer
        """
        return _model_copula.GumbelCopulaFactory_build(self, *args)

    def buildAsGumbelCopula(self, *args):
        """
        buildAsGumbelCopula(GumbelCopulaFactory self, NumericalSample sample) -> GumbelCopula
        buildAsGumbelCopula(GumbelCopulaFactory self, NumericalPointCollection parameters) -> GumbelCopula
        buildAsGumbelCopula(GumbelCopulaFactory self, NumericalPointWithDescriptionCollection parameters) -> GumbelCopula
        buildAsGumbelCopula(GumbelCopulaFactory self) -> GumbelCopula
        """
        return _model_copula.GumbelCopulaFactory_buildAsGumbelCopula(self, *args)

    def __init__(self, *args): 
        """
        __init__(OT::GumbelCopulaFactory self) -> GumbelCopulaFactory
        __init__(OT::GumbelCopulaFactory self, GumbelCopulaFactory other) -> GumbelCopulaFactory
        """
        this = _model_copula.new_GumbelCopulaFactory(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_GumbelCopulaFactory
    __del__ = lambda self : None;
GumbelCopulaFactory_swigregister = _model_copula.GumbelCopulaFactory_swigregister
GumbelCopulaFactory_swigregister(GumbelCopulaFactory)

def GumbelCopulaFactory_GetClassName():
  """GumbelCopulaFactory_GetClassName() -> OT::String"""
  return _model_copula.GumbelCopulaFactory_GetClassName()

class ComposedDistribution(DistributionImplementation):
    """Proxy of C++ OT::ComposedDistribution class"""
    __swig_setmethods__ = {}
    for _s in [DistributionImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, ComposedDistribution, name, value)
    __swig_getmethods__ = {}
    for _s in [DistributionImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, ComposedDistribution, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.ComposedDistribution_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(ComposedDistribution self) -> OT::String"""
        return _model_copula.ComposedDistribution_getClassName(self)

    def __eq__(self, *args):
        """__eq__(ComposedDistribution self, ComposedDistribution other) -> OT::Bool"""
        return _model_copula.ComposedDistribution___eq__(self, *args)

    def __repr__(self):
        """__repr__(ComposedDistribution self) -> OT::String"""
        return _model_copula.ComposedDistribution___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(ComposedDistribution self, OT::String const & offset="") -> OT::String
        __str__(ComposedDistribution self) -> OT::String
        """
        return _model_copula.ComposedDistribution___str__(self, offset)

    def setDistributionCollection(self, *args):
        """setDistributionCollection(ComposedDistribution self, DistributionCollection coll)"""
        return _model_copula.ComposedDistribution_setDistributionCollection(self, *args)

    def getDistributionCollection(self):
        """getDistributionCollection(ComposedDistribution self) -> DistributionCollection"""
        return _model_copula.ComposedDistribution_getDistributionCollection(self)

    def setCopula(self, *args):
        """setCopula(ComposedDistribution self, Copula copula)"""
        return _model_copula.ComposedDistribution_setCopula(self, *args)

    def getCopula(self):
        """getCopula(ComposedDistribution self) -> DistributionImplementationPointer"""
        return _model_copula.ComposedDistribution_getCopula(self)

    def getRealization(self):
        """getRealization(ComposedDistribution self) -> NumericalPoint"""
        return _model_copula.ComposedDistribution_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(ComposedDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(ComposedDistribution self, NumericalPoint point) -> NumericalPoint
        computeDDF(ComposedDistribution self, NumericalSample sample) -> NumericalSample
        computeDDF(ComposedDistribution self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.ComposedDistribution_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(ComposedDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(ComposedDistribution self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(ComposedDistribution self, NumericalSample sample) -> NumericalSample
        computePDF(ComposedDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ComposedDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(ComposedDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ComposedDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(ComposedDistribution self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ComposedDistribution_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(ComposedDistribution self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ComposedDistribution self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(ComposedDistribution self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ComposedDistribution self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(ComposedDistribution self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(ComposedDistribution self, NumericalSample sample) -> NumericalSample
        computeCDF(ComposedDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ComposedDistribution self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(ComposedDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ComposedDistribution self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(ComposedDistribution self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ComposedDistribution_computeCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(ComposedDistribution self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.ComposedDistribution_computeProbability(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(ComposedDistribution self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.ComposedDistribution_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(ComposedDistribution self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.ComposedDistribution_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(ComposedDistribution self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(ComposedDistribution self, OT::NumericalScalar const prob) -> NumericalPoint
        """
        return _model_copula.ComposedDistribution_computeQuantile(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(ComposedDistribution self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ComposedDistribution_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(ComposedDistribution self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ComposedDistribution_computeConditionalCDF(self, *args)

    def getStandardDeviation(self):
        """getStandardDeviation(ComposedDistribution self) -> NumericalPoint"""
        return _model_copula.ComposedDistribution_getStandardDeviation(self)

    def getSkewness(self):
        """getSkewness(ComposedDistribution self) -> NumericalPoint"""
        return _model_copula.ComposedDistribution_getSkewness(self)

    def getKurtosis(self):
        """getKurtosis(ComposedDistribution self) -> NumericalPoint"""
        return _model_copula.ComposedDistribution_getKurtosis(self)

    def getMarginal(self, *args):
        """
        getMarginal(ComposedDistribution self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(ComposedDistribution self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.ComposedDistribution_getMarginal(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(ComposedDistribution self) -> NumericalMathFunction"""
        return _model_copula.ComposedDistribution_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(ComposedDistribution self) -> NumericalMathFunction"""
        return _model_copula.ComposedDistribution_getInverseIsoProbabilisticTransformation(self)

    def getStandardDistribution(self):
        """getStandardDistribution(ComposedDistribution self) -> DistributionImplementationPointer"""
        return _model_copula.ComposedDistribution_getStandardDistribution(self)

    def getParametersCollection(self):
        """getParametersCollection(ComposedDistribution self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.ComposedDistribution_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(ComposedDistribution self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(ComposedDistribution self, NumericalPointCollection parametersCollection)
        setParametersCollection(ComposedDistribution self, NumericalPoint parameters)
        setParametersCollection(ComposedDistribution self, NumericalPointCollection parametersCollection)
        """
        return _model_copula.ComposedDistribution_setParametersCollection(self, *args)

    def hasIndependentCopula(self):
        """hasIndependentCopula(ComposedDistribution self) -> OT::Bool"""
        return _model_copula.ComposedDistribution_hasIndependentCopula(self)

    def isElliptical(self):
        """isElliptical(ComposedDistribution self) -> OT::Bool"""
        return _model_copula.ComposedDistribution_isElliptical(self)

    def __init__(self, *args): 
        """
        __init__(OT::ComposedDistribution self) -> ComposedDistribution
        __init__(OT::ComposedDistribution self, DistributionCollection coll) -> ComposedDistribution
        __init__(OT::ComposedDistribution self, DistributionCollection coll, Copula copula) -> ComposedDistribution
        __init__(OT::ComposedDistribution self, ComposedDistribution other) -> ComposedDistribution
        """
        this = _model_copula.new_ComposedDistribution(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_ComposedDistribution
    __del__ = lambda self : None;
ComposedDistribution_swigregister = _model_copula.ComposedDistribution_swigregister
ComposedDistribution_swigregister(ComposedDistribution)

def ComposedDistribution_GetClassName():
  """ComposedDistribution_GetClassName() -> OT::String"""
  return _model_copula.ComposedDistribution_GetClassName()

class CopulaCollection(_object):
    """Proxy of C++ OT::Collection<(OT::Copula)> class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, CopulaCollection, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, CopulaCollection, name)
    __swig_destroy__ = _model_copula.delete_CopulaCollection
    __del__ = lambda self : None;
    def clear(self):
        """clear(CopulaCollection self)"""
        return _model_copula.CopulaCollection_clear(self)

    def __len__(self):
        """__len__(CopulaCollection self) -> OT::UnsignedLong"""
        return _model_copula.CopulaCollection___len__(self)

    def __eq__(self, *args):
        """__eq__(CopulaCollection self, CopulaCollection rhs) -> OT::Bool"""
        return _model_copula.CopulaCollection___eq__(self, *args)

    def __contains__(self, *args):
        """__contains__(CopulaCollection self, Copula val) -> OT::Bool"""
        return _model_copula.CopulaCollection___contains__(self, *args)

    def __getitem__(self, *args):
        """__getitem__(CopulaCollection self, OT::UnsignedLong const i) -> Copula"""
        return _model_copula.CopulaCollection___getitem__(self, *args)

    def __setitem__(self, *args):
        """__setitem__(CopulaCollection self, OT::UnsignedLong const i, Copula val)"""
        return _model_copula.CopulaCollection___setitem__(self, *args)

    def __delitem__(self, *args):
        """__delitem__(CopulaCollection self, OT::UnsignedLong const i)"""
        return _model_copula.CopulaCollection___delitem__(self, *args)

    def at(self, *args):
        """
        at(CopulaCollection self, OT::UnsignedLong const i) -> Copula
        at(CopulaCollection self, OT::UnsignedLong const i) -> Copula
        """
        return _model_copula.CopulaCollection_at(self, *args)

    def add(self, *args):
        """
        add(CopulaCollection self, Copula elt)
        add(CopulaCollection self, CopulaCollection coll)
        """
        return _model_copula.CopulaCollection_add(self, *args)

    def getSize(self):
        """getSize(CopulaCollection self) -> OT::UnsignedLong"""
        return _model_copula.CopulaCollection_getSize(self)

    def resize(self, *args):
        """resize(CopulaCollection self, OT::UnsignedLong const newSize)"""
        return _model_copula.CopulaCollection_resize(self, *args)

    def isEmpty(self):
        """isEmpty(CopulaCollection self) -> OT::Bool"""
        return _model_copula.CopulaCollection_isEmpty(self)

    def __repr__(self):
        """__repr__(CopulaCollection self) -> OT::String"""
        return _model_copula.CopulaCollection___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(CopulaCollection self, OT::String const & offset="") -> OT::String
        __str__(CopulaCollection self) -> OT::String
        """
        return _model_copula.CopulaCollection___str__(self, offset)

    def __init__(self, *args): 
        """
        __init__(OT::Collection<(OT::Copula)> self) -> CopulaCollection
        __init__(OT::Collection<(OT::Copula)> self, OT::UnsignedLong const size) -> CopulaCollection
        __init__(OT::Collection<(OT::Copula)> self, OT::UnsignedLong const size, Copula value) -> CopulaCollection
        __init__(OT::Collection<(OT::Copula)> self, PyObject * pyObj) -> CopulaCollection
        __init__(OT::Collection<(OT::Copula)> self, CopulaCollection other) -> CopulaCollection
        """
        this = _model_copula.new_CopulaCollection(*args)
        try: self.this.append(this)
        except: self.this = this
CopulaCollection_swigregister = _model_copula.CopulaCollection_swigregister
CopulaCollection_swigregister(CopulaCollection)

class ComposedCopula(CopulaImplementation):
    """Proxy of C++ OT::ComposedCopula class"""
    __swig_setmethods__ = {}
    for _s in [CopulaImplementation]: __swig_setmethods__.update(getattr(_s,'__swig_setmethods__',{}))
    __setattr__ = lambda self, name, value: _swig_setattr(self, ComposedCopula, name, value)
    __swig_getmethods__ = {}
    for _s in [CopulaImplementation]: __swig_getmethods__.update(getattr(_s,'__swig_getmethods__',{}))
    __getattr__ = lambda self, name: _swig_getattr(self, ComposedCopula, name)
    def GetClassName():
        """GetClassName() -> OT::String"""
        return _model_copula.ComposedCopula_GetClassName()

    if _newclass:GetClassName = staticmethod(GetClassName)
    __swig_getmethods__["GetClassName"] = lambda x: GetClassName
    def getClassName(self):
        """getClassName(ComposedCopula self) -> OT::String"""
        return _model_copula.ComposedCopula_getClassName(self)

    def __eq__(self, *args):
        """__eq__(ComposedCopula self, ComposedCopula other) -> OT::Bool"""
        return _model_copula.ComposedCopula___eq__(self, *args)

    def __repr__(self):
        """__repr__(ComposedCopula self) -> OT::String"""
        return _model_copula.ComposedCopula___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(ComposedCopula self, OT::String const & offset="") -> OT::String
        __str__(ComposedCopula self) -> OT::String
        """
        return _model_copula.ComposedCopula___str__(self, offset)

    def setCopulaCollection(self, *args):
        """setCopulaCollection(ComposedCopula self, CopulaCollection coll)"""
        return _model_copula.ComposedCopula_setCopulaCollection(self, *args)

    def getCopulaCollection(self):
        """getCopulaCollection(ComposedCopula self) -> CopulaCollection"""
        return _model_copula.ComposedCopula_getCopulaCollection(self)

    def getRealization(self):
        """getRealization(ComposedCopula self) -> NumericalPoint"""
        return _model_copula.ComposedCopula_getRealization(self)

    def computeDDF(self, *args):
        """
        computeDDF(ComposedCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(ComposedCopula self, NumericalPoint point) -> NumericalPoint
        computeDDF(ComposedCopula self, NumericalSample sample) -> NumericalSample
        computeDDF(ComposedCopula self, NumericalPoint point) -> NumericalPoint
        """
        return _model_copula.ComposedCopula_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(ComposedCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(ComposedCopula self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(ComposedCopula self, NumericalSample sample) -> NumericalSample
        computePDF(ComposedCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ComposedCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(ComposedCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(ComposedCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computePDF(ComposedCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ComposedCopula_computePDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(ComposedCopula self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ComposedCopula self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(ComposedCopula self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(ComposedCopula self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(ComposedCopula self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(ComposedCopula self, NumericalSample sample) -> NumericalSample
        computeCDF(ComposedCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ComposedCopula self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(ComposedCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(ComposedCopula self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        computeCDF(ComposedCopula self, NumericalPoint point) -> OT::NumericalScalar
        """
        return _model_copula.ComposedCopula_computeCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(ComposedCopula self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.ComposedCopula_computeProbability(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(ComposedCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.ComposedCopula_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(ComposedCopula self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.ComposedCopula_computeCDFGradient(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(ComposedCopula self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(ComposedCopula self, Indices indices) -> DistributionImplementationPointer
        getMarginal(ComposedCopula self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.ComposedCopula_getMarginal(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(ComposedCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ComposedCopula_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(ComposedCopula self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ComposedCopula_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(ComposedCopula self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.ComposedCopula_computeConditionalQuantile(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(ComposedCopula self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.ComposedCopula_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(ComposedCopula self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(ComposedCopula self, NumericalPointCollection parametersCollection)
        setParametersCollection(ComposedCopula self, NumericalPoint parameters)
        setParametersCollection(ComposedCopula self, NumericalPointCollection setParametersCollection)
        """
        return _model_copula.ComposedCopula_setParametersCollection(self, *args)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(ComposedCopula self) -> OT::Bool"""
        return _model_copula.ComposedCopula_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(ComposedCopula self) -> OT::Bool"""
        return _model_copula.ComposedCopula_hasIndependentCopula(self)

    def __init__(self, *args): 
        """
        __init__(OT::ComposedCopula self) -> ComposedCopula
        __init__(OT::ComposedCopula self, CopulaCollection coll) -> ComposedCopula
        __init__(OT::ComposedCopula self, PyObject * pyObj) -> ComposedCopula
        __init__(OT::ComposedCopula self, ComposedCopula other) -> ComposedCopula
        """
        this = _model_copula.new_ComposedCopula(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_ComposedCopula
    __del__ = lambda self : None;
ComposedCopula_swigregister = _model_copula.ComposedCopula_swigregister
ComposedCopula_swigregister(ComposedCopula)

def ComposedCopula_GetClassName():
  """ComposedCopula_GetClassName() -> OT::String"""
  return _model_copula.ComposedCopula_GetClassName()

class DistributionImplementationFactoryPointer(_object):
    """Proxy of C++ OT::Pointer<(OT::DistributionImplementationFactory)> class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionImplementationFactoryPointer, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionImplementationFactoryPointer, name)
    __swig_setmethods__["ptr_"] = _model_copula.DistributionImplementationFactoryPointer_ptr__set
    __swig_getmethods__["ptr_"] = _model_copula.DistributionImplementationFactoryPointer_ptr__get
    if _newclass:ptr_ = _swig_property(_model_copula.DistributionImplementationFactoryPointer_ptr__get, _model_copula.DistributionImplementationFactoryPointer_ptr__set)
    def __init__(self, *args): 
        """
        __init__(OT::Pointer<(OT::DistributionImplementationFactory)> self) -> DistributionImplementationFactoryPointer
        __init__(OT::Pointer<(OT::DistributionImplementationFactory)> self, DistributionImplementationFactory ptr) -> DistributionImplementationFactoryPointer
        """
        this = _model_copula.new_DistributionImplementationFactoryPointer(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_DistributionImplementationFactoryPointer
    __del__ = lambda self : None;
    def reset(self):
        """reset(DistributionImplementationFactoryPointer self)"""
        return _model_copula.DistributionImplementationFactoryPointer_reset(self)

    def __ref__(self, *args):
        """
        __ref__(DistributionImplementationFactoryPointer self) -> DistributionImplementationFactory
        __ref__(DistributionImplementationFactoryPointer self) -> DistributionImplementationFactory
        """
        return _model_copula.DistributionImplementationFactoryPointer___ref__(self, *args)

    def __deref__(self):
        """__deref__(DistributionImplementationFactoryPointer self) -> DistributionImplementationFactory"""
        return _model_copula.DistributionImplementationFactoryPointer___deref__(self)

    def isNull(self):
        """isNull(DistributionImplementationFactoryPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer_isNull(self)

    def __nonzero__(self):
        return _model_copula.DistributionImplementationFactoryPointer___nonzero__(self)
    __bool__ = __nonzero__


    def get(self):
        """get(DistributionImplementationFactoryPointer self) -> DistributionImplementationFactory"""
        return _model_copula.DistributionImplementationFactoryPointer_get(self)

    def getImplementation(self):
        """getImplementation(DistributionImplementationFactoryPointer self) -> OT::Pointer< OT::DistributionImplementationFactory >::pointer_type const &"""
        return _model_copula.DistributionImplementationFactoryPointer_getImplementation(self)

    def unique(self):
        """unique(DistributionImplementationFactoryPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer_unique(self)

    def use_count(self):
        """use_count(DistributionImplementationFactoryPointer self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationFactoryPointer_use_count(self)

    def swap(self, *args):
        """swap(DistributionImplementationFactoryPointer self, DistributionImplementationFactoryPointer other)"""
        return _model_copula.DistributionImplementationFactoryPointer_swap(self, *args)

    def GetClassName(self):
        """GetClassName(DistributionImplementationFactoryPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationFactoryPointer_GetClassName(self)

    def getClassName(self):
        """getClassName(DistributionImplementationFactoryPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationFactoryPointer_getClassName(self)

    def __repr__(self):
        """__repr__(DistributionImplementationFactoryPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationFactoryPointer___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionImplementationFactoryPointer self, OT::String const & offset="") -> OT::String
        __str__(DistributionImplementationFactoryPointer self) -> OT::String
        """
        return _model_copula.DistributionImplementationFactoryPointer___str__(self, offset)

    def build(self, *args):
        """
        build(DistributionImplementationFactoryPointer self, NumericalSample sample) -> DistributionImplementationPointer
        build(DistributionImplementationFactoryPointer self, NumericalSample sample, CovarianceMatrix covariance) -> DistributionImplementationPointer
        build(DistributionImplementationFactoryPointer self, NumericalPointCollection parameters) -> DistributionImplementationPointer
        build(DistributionImplementationFactoryPointer self, NumericalPointWithDescriptionCollection parameters) -> DistributionImplementationPointer
        build(DistributionImplementationFactoryPointer self) -> DistributionImplementationPointer
        """
        return _model_copula.DistributionImplementationFactoryPointer_build(self, *args)

    def getBootstrapSize(self):
        """getBootstrapSize(DistributionImplementationFactoryPointer self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationFactoryPointer_getBootstrapSize(self)

    def setBootstrapSize(self, *args):
        """setBootstrapSize(DistributionImplementationFactoryPointer self, OT::UnsignedLong const bootstrapSize)"""
        return _model_copula.DistributionImplementationFactoryPointer_setBootstrapSize(self, *args)

    def __eq__(self, *args):
        """__eq__(DistributionImplementationFactoryPointer self, PersistentObject other) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer___eq__(self, *args)

    def Is(self, *args):
        """Is(DistributionImplementationFactoryPointer self, PersistentObject other) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer_Is(self, *args)

    def getId(self):
        """getId(DistributionImplementationFactoryPointer self) -> OT::Id"""
        return _model_copula.DistributionImplementationFactoryPointer_getId(self)

    def setShadowedId(self, *args):
        """setShadowedId(DistributionImplementationFactoryPointer self, OT::Id id)"""
        return _model_copula.DistributionImplementationFactoryPointer_setShadowedId(self, *args)

    def getShadowedId(self):
        """getShadowedId(DistributionImplementationFactoryPointer self) -> OT::Id"""
        return _model_copula.DistributionImplementationFactoryPointer_getShadowedId(self)

    def setVisibility(self, *args):
        """setVisibility(DistributionImplementationFactoryPointer self, OT::Bool visible)"""
        return _model_copula.DistributionImplementationFactoryPointer_setVisibility(self, *args)

    def getVisibility(self):
        """getVisibility(DistributionImplementationFactoryPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer_getVisibility(self)

    def hasName(self):
        """hasName(DistributionImplementationFactoryPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer_hasName(self)

    def hasVisibleName(self):
        """hasVisibleName(DistributionImplementationFactoryPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationFactoryPointer_hasVisibleName(self)

    def getName(self):
        """getName(DistributionImplementationFactoryPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationFactoryPointer_getName(self)

    def setName(self, *args):
        """setName(DistributionImplementationFactoryPointer self, OT::String const & name)"""
        return _model_copula.DistributionImplementationFactoryPointer_setName(self, *args)

DistributionImplementationFactoryPointer_swigregister = _model_copula.DistributionImplementationFactoryPointer_swigregister
DistributionImplementationFactoryPointer_swigregister(DistributionImplementationFactoryPointer)

class DistributionImplementationPointer(_object):
    """Proxy of C++ OT::Pointer<(OT::DistributionImplementation)> class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, DistributionImplementationPointer, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, DistributionImplementationPointer, name)
    __swig_setmethods__["ptr_"] = _model_copula.DistributionImplementationPointer_ptr__set
    __swig_getmethods__["ptr_"] = _model_copula.DistributionImplementationPointer_ptr__get
    if _newclass:ptr_ = _swig_property(_model_copula.DistributionImplementationPointer_ptr__get, _model_copula.DistributionImplementationPointer_ptr__set)
    def __init__(self, *args): 
        """
        __init__(OT::Pointer<(OT::DistributionImplementation)> self) -> DistributionImplementationPointer
        __init__(OT::Pointer<(OT::DistributionImplementation)> self, DistributionImplementation ptr) -> DistributionImplementationPointer
        """
        this = _model_copula.new_DistributionImplementationPointer(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_DistributionImplementationPointer
    __del__ = lambda self : None;
    def reset(self):
        """reset(DistributionImplementationPointer self)"""
        return _model_copula.DistributionImplementationPointer_reset(self)

    def __ref__(self, *args):
        """
        __ref__(DistributionImplementationPointer self) -> DistributionImplementation
        __ref__(DistributionImplementationPointer self) -> DistributionImplementation
        """
        return _model_copula.DistributionImplementationPointer___ref__(self, *args)

    def __deref__(self):
        """__deref__(DistributionImplementationPointer self) -> DistributionImplementation"""
        return _model_copula.DistributionImplementationPointer___deref__(self)

    def isNull(self):
        """isNull(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_isNull(self)

    def __nonzero__(self):
        return _model_copula.DistributionImplementationPointer___nonzero__(self)
    __bool__ = __nonzero__


    def get(self):
        """get(DistributionImplementationPointer self) -> DistributionImplementation"""
        return _model_copula.DistributionImplementationPointer_get(self)

    def getImplementation(self):
        """getImplementation(DistributionImplementationPointer self) -> OT::Pointer< OT::DistributionImplementation >::pointer_type const &"""
        return _model_copula.DistributionImplementationPointer_getImplementation(self)

    def unique(self):
        """unique(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_unique(self)

    def use_count(self):
        """use_count(DistributionImplementationPointer self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationPointer_use_count(self)

    def swap(self, *args):
        """swap(DistributionImplementationPointer self, DistributionImplementationPointer other)"""
        return _model_copula.DistributionImplementationPointer_swap(self, *args)

    def GetClassName(self):
        """GetClassName(DistributionImplementationPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationPointer_GetClassName(self)

    def getClassName(self):
        """getClassName(DistributionImplementationPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationPointer_getClassName(self)

    def __eq__(self, *args):
        """__eq__(DistributionImplementationPointer self, DistributionImplementation other) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer___eq__(self, *args)

    def __repr__(self):
        """__repr__(DistributionImplementationPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationPointer___repr__(self)

    def __str__(self, offset=""):
        """
        __str__(DistributionImplementationPointer self, OT::String const & offset="") -> OT::String
        __str__(DistributionImplementationPointer self) -> OT::String
        """
        return _model_copula.DistributionImplementationPointer___str__(self, offset)

    def setWeight(self, *args):
        """setWeight(DistributionImplementationPointer self, OT::NumericalScalar w)"""
        return _model_copula.DistributionImplementationPointer_setWeight(self, *args)

    def getWeight(self):
        """getWeight(DistributionImplementationPointer self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_getWeight(self)

    def getDimension(self):
        """getDimension(DistributionImplementationPointer self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationPointer_getDimension(self)

    def getRealization(self):
        """getRealization(DistributionImplementationPointer self) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getRealization(self)

    def getSample(self, *args):
        """getSample(DistributionImplementationPointer self, OT::UnsignedLong const size) -> NumericalSample"""
        return _model_copula.DistributionImplementationPointer_getSample(self, *args)

    def computeDDF(self, *args):
        """
        computeDDF(DistributionImplementationPointer self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeDDF(DistributionImplementationPointer self, NumericalPoint point) -> NumericalPoint
        computeDDF(DistributionImplementationPointer self, NumericalSample sample) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_computeDDF(self, *args)

    def computePDF(self, *args):
        """
        computePDF(DistributionImplementationPointer self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computePDF(DistributionImplementationPointer self, NumericalPoint point) -> OT::NumericalScalar
        computePDF(DistributionImplementationPointer self, NumericalSample sample) -> NumericalSample
        computePDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computePDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultPDFEpsilon")) -> NumericalSample
        computePDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_computePDF(self, *args)

    def computeLogPDF(self, *args):
        """
        computeLogPDF(DistributionImplementationPointer self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeLogPDF(DistributionImplementationPointer self, NumericalPoint point) -> OT::NumericalScalar
        computeLogPDF(DistributionImplementationPointer self, NumericalSample sample) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_computeLogPDF(self, *args)

    def computeCDF(self, *args):
        """
        computeCDF(DistributionImplementationPointer self, OT::NumericalScalar const scalar, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(DistributionImplementationPointer self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeCDF(DistributionImplementationPointer self, NumericalPoint point, OT::Bool const tail) -> OT::NumericalScalar
        computeCDF(DistributionImplementationPointer self, NumericalPoint point) -> OT::NumericalScalar
        computeCDF(DistributionImplementationPointer self, NumericalSample sample, OT::Bool const tail) -> NumericalSample
        computeCDF(DistributionImplementationPointer self, NumericalSample sample) -> NumericalSample
        computeCDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        computeCDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeCDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber, NumericalSample grid) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_computeCDF(self, *args)

    def computeComplementaryCDF(self, *args):
        """
        computeComplementaryCDF(DistributionImplementationPointer self, OT::NumericalScalar const scalar) -> OT::NumericalScalar
        computeComplementaryCDF(DistributionImplementationPointer self, NumericalPoint point) -> OT::NumericalScalar
        computeComplementaryCDF(DistributionImplementationPointer self, NumericalSample sample) -> NumericalSample
        computeComplementaryCDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid, OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultCDFEpsilon")) -> NumericalSample
        computeComplementaryCDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber, 
            NumericalSample grid) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_computeComplementaryCDF(self, *args)

    def computeProbability(self, *args):
        """computeProbability(DistributionImplementationPointer self, Interval interval) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeProbability(self, *args)

    def computeCharacteristicFunction(self, *args):
        """
        computeCharacteristicFunction(DistributionImplementationPointer self, OT::NumericalScalar const x) -> OT::NumericalComplex
        computeCharacteristicFunction(DistributionImplementationPointer self, NumericalPoint x) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementationPointer_computeCharacteristicFunction(self, *args)

    def computeLogCharacteristicFunction(self, *args):
        """
        computeLogCharacteristicFunction(DistributionImplementationPointer self, OT::NumericalScalar const x) -> OT::NumericalComplex
        computeLogCharacteristicFunction(DistributionImplementationPointer self, NumericalPoint x) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementationPointer_computeLogCharacteristicFunction(self, *args)

    def computeGeneratingFunction(self, *args):
        """
        computeGeneratingFunction(DistributionImplementationPointer self, OT::NumericalScalar const z) -> OT::NumericalScalar
        computeGeneratingFunction(DistributionImplementationPointer self, OT::NumericalComplex const & z) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementationPointer_computeGeneratingFunction(self, *args)

    def computeLogGeneratingFunction(self, *args):
        """
        computeLogGeneratingFunction(DistributionImplementationPointer self, OT::NumericalScalar const z) -> OT::NumericalScalar
        computeLogGeneratingFunction(DistributionImplementationPointer self, OT::NumericalComplex const & z) -> OT::NumericalComplex
        """
        return _model_copula.DistributionImplementationPointer_computeLogGeneratingFunction(self, *args)

    def computePDFGradient(self, *args):
        """computePDFGradient(DistributionImplementationPointer self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_computePDFGradient(self, *args)

    def computeCDFGradient(self, *args):
        """computeCDFGradient(DistributionImplementationPointer self, NumericalPoint point) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_computeCDFGradient(self, *args)

    def computeQuantile(self, *args):
        """
        computeQuantile(DistributionImplementationPointer self, OT::NumericalScalar const prob, OT::Bool const tail=False) -> NumericalPoint
        computeQuantile(DistributionImplementationPointer self, OT::NumericalScalar const prob) -> NumericalPoint
        computeQuantile(DistributionImplementationPointer self, NumericalPoint prob, OT::Bool const tail=False) -> NumericalSample
        computeQuantile(DistributionImplementationPointer self, NumericalPoint prob) -> NumericalSample
        computeQuantile(DistributionImplementationPointer self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon"), 
            OT::Bool const tail=False) -> NumericalSample
        computeQuantile(DistributionImplementationPointer self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber, 
            OT::NumericalScalar const precision=OT::ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) -> NumericalSample
        computeQuantile(DistributionImplementationPointer self, OT::NumericalScalar const qMin, OT::NumericalScalar const qMax, OT::UnsignedLong const pointNumber) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_computeQuantile(self, *args)

    def getRange(self):
        """getRange(DistributionImplementationPointer self) -> Interval"""
        return _model_copula.DistributionImplementationPointer_getRange(self)

    def getRoughness(self):
        """getRoughness(DistributionImplementationPointer self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_getRoughness(self)

    def getMean(self):
        """getMean(DistributionImplementationPointer self) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getMean(self)

    def getStandardDeviation(self):
        """getStandardDeviation(DistributionImplementationPointer self) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getStandardDeviation(self)

    def getSkewness(self):
        """getSkewness(DistributionImplementationPointer self) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getSkewness(self)

    def getKurtosis(self):
        """getKurtosis(DistributionImplementationPointer self) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getKurtosis(self)

    def getStandardMoment(self, *args):
        """getStandardMoment(DistributionImplementationPointer self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getStandardMoment(self, *args)

    def getMoment(self, *args):
        """getMoment(DistributionImplementationPointer self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getMoment(self, *args)

    def getCenteredMoment(self, *args):
        """getCenteredMoment(DistributionImplementationPointer self, OT::UnsignedLong const n) -> NumericalPoint"""
        return _model_copula.DistributionImplementationPointer_getCenteredMoment(self, *args)

    def getCovariance(self):
        """getCovariance(DistributionImplementationPointer self) -> CovarianceMatrix"""
        return _model_copula.DistributionImplementationPointer_getCovariance(self)

    def getCorrelation(self):
        """getCorrelation(DistributionImplementationPointer self) -> CorrelationMatrix"""
        return _model_copula.DistributionImplementationPointer_getCorrelation(self)

    def getCholesky(self):
        """getCholesky(DistributionImplementationPointer self) -> SquareMatrix"""
        return _model_copula.DistributionImplementationPointer_getCholesky(self)

    def getInverseCholesky(self):
        """getInverseCholesky(DistributionImplementationPointer self) -> SquareMatrix"""
        return _model_copula.DistributionImplementationPointer_getInverseCholesky(self)

    def isElliptical(self):
        """isElliptical(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_isElliptical(self)

    def isContinuous(self):
        """isContinuous(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_isContinuous(self)

    def isDiscrete(self):
        """isDiscrete(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_isDiscrete(self)

    def isIntegral(self):
        """isIntegral(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_isIntegral(self)

    def hasEllipticalCopula(self):
        """hasEllipticalCopula(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_hasEllipticalCopula(self)

    def hasIndependentCopula(self):
        """hasIndependentCopula(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_hasIndependentCopula(self)

    def getSupport(self, *args):
        """
        getSupport(DistributionImplementationPointer self, Interval interval) -> NumericalSample
        getSupport(DistributionImplementationPointer self) -> NumericalSample
        """
        return _model_copula.DistributionImplementationPointer_getSupport(self, *args)

    def computeDensityGenerator(self, *args):
        """computeDensityGenerator(DistributionImplementationPointer self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeDensityGenerator(self, *args)

    def computeDensityGeneratorDerivative(self, *args):
        """computeDensityGeneratorDerivative(DistributionImplementationPointer self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeDensityGeneratorDerivative(self, *args)

    def computeDensityGeneratorSecondDerivative(self, *args):
        """computeDensityGeneratorSecondDerivative(DistributionImplementationPointer self, OT::NumericalScalar const betaSquare) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeDensityGeneratorSecondDerivative(self, *args)

    def computeRadialDistributionCDF(self, *args):
        """
        computeRadialDistributionCDF(DistributionImplementationPointer self, OT::NumericalScalar const radius, OT::Bool const tail=False) -> OT::NumericalScalar
        computeRadialDistributionCDF(DistributionImplementationPointer self, OT::NumericalScalar const radius) -> OT::NumericalScalar
        """
        return _model_copula.DistributionImplementationPointer_computeRadialDistributionCDF(self, *args)

    def getMarginal(self, *args):
        """
        getMarginal(DistributionImplementationPointer self, OT::UnsignedLong const i) -> DistributionImplementationPointer
        getMarginal(DistributionImplementationPointer self, Indices indices) -> DistributionImplementationPointer
        """
        return _model_copula.DistributionImplementationPointer_getMarginal(self, *args)

    def getCopula(self):
        """getCopula(DistributionImplementationPointer self) -> DistributionImplementationPointer"""
        return _model_copula.DistributionImplementationPointer_getCopula(self)

    def computeConditionalDDF(self, *args):
        """computeConditionalDDF(DistributionImplementationPointer self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeConditionalDDF(self, *args)

    def computeConditionalPDF(self, *args):
        """computeConditionalPDF(DistributionImplementationPointer self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeConditionalPDF(self, *args)

    def computeConditionalCDF(self, *args):
        """computeConditionalCDF(DistributionImplementationPointer self, OT::NumericalScalar const x, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeConditionalCDF(self, *args)

    def computeConditionalQuantile(self, *args):
        """computeConditionalQuantile(DistributionImplementationPointer self, OT::NumericalScalar const q, NumericalPoint y) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_computeConditionalQuantile(self, *args)

    def getIsoProbabilisticTransformation(self):
        """getIsoProbabilisticTransformation(DistributionImplementationPointer self) -> NumericalMathFunction"""
        return _model_copula.DistributionImplementationPointer_getIsoProbabilisticTransformation(self)

    def getInverseIsoProbabilisticTransformation(self):
        """getInverseIsoProbabilisticTransformation(DistributionImplementationPointer self) -> NumericalMathFunction"""
        return _model_copula.DistributionImplementationPointer_getInverseIsoProbabilisticTransformation(self)

    def getStandardDistribution(self):
        """getStandardDistribution(DistributionImplementationPointer self) -> DistributionImplementationPointer"""
        return _model_copula.DistributionImplementationPointer_getStandardDistribution(self)

    def getStandardRepresentative(self):
        """getStandardRepresentative(DistributionImplementationPointer self) -> DistributionImplementationPointer"""
        return _model_copula.DistributionImplementationPointer_getStandardRepresentative(self)

    def getIntegrationNodesNumber(self):
        """getIntegrationNodesNumber(DistributionImplementationPointer self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationPointer_getIntegrationNodesNumber(self)

    def setIntegrationNodesNumber(self, *args):
        """setIntegrationNodesNumber(DistributionImplementationPointer self, OT::UnsignedLong const integrationNodesNumber)"""
        return _model_copula.DistributionImplementationPointer_setIntegrationNodesNumber(self, *args)

    def getGaussNodesAndWeights(self, *args):
        """
        getGaussNodesAndWeights(DistributionImplementationPointer self) -> NumericalSample
        getGaussNodesAndWeights(DistributionImplementationPointer self, NumericalPoint weights) -> NumericalPoint
        """
        return _model_copula.DistributionImplementationPointer_getGaussNodesAndWeights(self, *args)

    def drawPDF(self, *args):
        """
        drawPDF(DistributionImplementationPointer self) -> Graph
        drawPDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawPDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawPDF(DistributionImplementationPointer self, OT::UnsignedLong const pointNumber) -> Graph
        drawPDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawPDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawPDF(DistributionImplementationPointer self, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementationPointer_drawPDF(self, *args)

    def drawMarginal1DPDF(self, *args):
        """
        drawMarginal1DPDF(DistributionImplementationPointer self, OT::UnsignedLong const marginalIndex, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, 
            OT::UnsignedLong const pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementationPointer_drawMarginal1DPDF(self, *args)

    def drawMarginal2DPDF(self, *args):
        """
        drawMarginal2DPDF(DistributionImplementationPointer self, OT::UnsignedLong const firstMarginal, OT::UnsignedLong const secondMarginal, NumericalPoint xMin, 
            NumericalPoint xMax, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementationPointer_drawMarginal2DPDF(self, *args)

    def drawCDF(self, *args):
        """
        drawCDF(DistributionImplementationPointer self) -> Graph
        drawCDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, OT::UnsignedLong const pointNumber=OT::ResourceMap::GetAsUnsignedLong("DistributionImplementation-DefaultPointNumber")) -> Graph
        drawCDF(DistributionImplementationPointer self, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax) -> Graph
        drawCDF(DistributionImplementationPointer self, OT::UnsignedLong const pointNumber) -> Graph
        drawCDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax, Indices pointNumber) -> Graph
        drawCDF(DistributionImplementationPointer self, NumericalPoint xMin, NumericalPoint xMax) -> Graph
        drawCDF(DistributionImplementationPointer self, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementationPointer_drawCDF(self, *args)

    def drawMarginal1DCDF(self, *args):
        """
        drawMarginal1DCDF(DistributionImplementationPointer self, OT::UnsignedLong const marginalIndex, OT::NumericalScalar const xMin, OT::NumericalScalar const xMax, 
            OT::UnsignedLong const pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementationPointer_drawMarginal1DCDF(self, *args)

    def drawMarginal2DCDF(self, *args):
        """
        drawMarginal2DCDF(DistributionImplementationPointer self, OT::UnsignedLong const firstMarginal, OT::UnsignedLong const secondMarginal, NumericalPoint xMin, 
            NumericalPoint xMax, Indices pointNumber) -> Graph
        """
        return _model_copula.DistributionImplementationPointer_drawMarginal2DCDF(self, *args)

    def getParametersCollection(self):
        """getParametersCollection(DistributionImplementationPointer self) -> NumericalPointWithDescriptionCollection"""
        return _model_copula.DistributionImplementationPointer_getParametersCollection(self)

    def setParametersCollection(self, *args):
        """
        setParametersCollection(DistributionImplementationPointer self, NumericalPointWithDescriptionCollection parametersCollection)
        setParametersCollection(DistributionImplementationPointer self, NumericalPointCollection parametersCollection)
        setParametersCollection(DistributionImplementationPointer self, NumericalPoint parameters)
        """
        return _model_copula.DistributionImplementationPointer_setParametersCollection(self, *args)

    def getParametersNumber(self):
        """getParametersNumber(DistributionImplementationPointer self) -> OT::UnsignedLong"""
        return _model_copula.DistributionImplementationPointer_getParametersNumber(self)

    def setDescription(self, *args):
        """setDescription(DistributionImplementationPointer self, Description description)"""
        return _model_copula.DistributionImplementationPointer_setDescription(self, *args)

    def getDescription(self):
        """getDescription(DistributionImplementationPointer self) -> Description"""
        return _model_copula.DistributionImplementationPointer_getDescription(self)

    def getPDFEpsilon(self):
        """getPDFEpsilon(DistributionImplementationPointer self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_getPDFEpsilon(self)

    def getCDFEpsilon(self):
        """getCDFEpsilon(DistributionImplementationPointer self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_getCDFEpsilon(self)

    def getPositionIndicator(self):
        """getPositionIndicator(DistributionImplementationPointer self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_getPositionIndicator(self)

    def getDispersionIndicator(self):
        """getDispersionIndicator(DistributionImplementationPointer self) -> OT::NumericalScalar"""
        return _model_copula.DistributionImplementationPointer_getDispersionIndicator(self)

    def Is(self, *args):
        """Is(DistributionImplementationPointer self, PersistentObject other) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_Is(self, *args)

    def getId(self):
        """getId(DistributionImplementationPointer self) -> OT::Id"""
        return _model_copula.DistributionImplementationPointer_getId(self)

    def setShadowedId(self, *args):
        """setShadowedId(DistributionImplementationPointer self, OT::Id id)"""
        return _model_copula.DistributionImplementationPointer_setShadowedId(self, *args)

    def getShadowedId(self):
        """getShadowedId(DistributionImplementationPointer self) -> OT::Id"""
        return _model_copula.DistributionImplementationPointer_getShadowedId(self)

    def setVisibility(self, *args):
        """setVisibility(DistributionImplementationPointer self, OT::Bool visible)"""
        return _model_copula.DistributionImplementationPointer_setVisibility(self, *args)

    def getVisibility(self):
        """getVisibility(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_getVisibility(self)

    def hasName(self):
        """hasName(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_hasName(self)

    def hasVisibleName(self):
        """hasVisibleName(DistributionImplementationPointer self) -> OT::Bool"""
        return _model_copula.DistributionImplementationPointer_hasVisibleName(self)

    def getName(self):
        """getName(DistributionImplementationPointer self) -> OT::String"""
        return _model_copula.DistributionImplementationPointer_getName(self)

    def setName(self, *args):
        """setName(DistributionImplementationPointer self, OT::String const & name)"""
        return _model_copula.DistributionImplementationPointer_setName(self, *args)

DistributionImplementationPointer_swigregister = _model_copula.DistributionImplementationPointer_swigregister
DistributionImplementationPointer_swigregister(DistributionImplementationPointer)

class RandomVectorImplementationPointer(_object):
    """Proxy of C++ OT::Pointer<(OT::RandomVectorImplementation)> class"""
    __swig_setmethods__ = {}
    __setattr__ = lambda self, name, value: _swig_setattr(self, RandomVectorImplementationPointer, name, value)
    __swig_getmethods__ = {}
    __getattr__ = lambda self, name: _swig_getattr(self, RandomVectorImplementationPointer, name)
    __repr__ = _swig_repr
    __swig_setmethods__["ptr_"] = _model_copula.RandomVectorImplementationPointer_ptr__set
    __swig_getmethods__["ptr_"] = _model_copula.RandomVectorImplementationPointer_ptr__get
    if _newclass:ptr_ = _swig_property(_model_copula.RandomVectorImplementationPointer_ptr__get, _model_copula.RandomVectorImplementationPointer_ptr__set)
    def __init__(self, *args): 
        """
        __init__(OT::Pointer<(OT::RandomVectorImplementation)> self) -> RandomVectorImplementationPointer
        __init__(OT::Pointer<(OT::RandomVectorImplementation)> self, OT::RandomVectorImplementation * ptr) -> RandomVectorImplementationPointer
        """
        this = _model_copula.new_RandomVectorImplementationPointer(*args)
        try: self.this.append(this)
        except: self.this = this
    __swig_destroy__ = _model_copula.delete_RandomVectorImplementationPointer
    __del__ = lambda self : None;
    def reset(self):
        """reset(RandomVectorImplementationPointer self)"""
        return _model_copula.RandomVectorImplementationPointer_reset(self)

    def __ref__(self, *args):
        """
        __ref__(RandomVectorImplementationPointer self) -> OT::RandomVectorImplementation const
        __ref__(RandomVectorImplementationPointer self) -> OT::RandomVectorImplementation &
        """
        return _model_copula.RandomVectorImplementationPointer___ref__(self, *args)

    def __deref__(self):
        """__deref__(RandomVectorImplementationPointer self) -> OT::RandomVectorImplementation *"""
        return _model_copula.RandomVectorImplementationPointer___deref__(self)

    def isNull(self):
        """isNull(RandomVectorImplementationPointer self) -> OT::Bool"""
        return _model_copula.RandomVectorImplementationPointer_isNull(self)

    def __nonzero__(self):
        return _model_copula.RandomVectorImplementationPointer___nonzero__(self)
    __bool__ = __nonzero__


    def get(self):
        """get(RandomVectorImplementationPointer self) -> OT::RandomVectorImplementation *"""
        return _model_copula.RandomVectorImplementationPointer_get(self)

    def getImplementation(self):
        """getImplementation(RandomVectorImplementationPointer self) -> OT::Pointer< OT::RandomVectorImplementation >::pointer_type const &"""
        return _model_copula.RandomVectorImplementationPointer_getImplementation(self)

    def unique(self):
        """unique(RandomVectorImplementationPointer self) -> OT::Bool"""
        return _model_copula.RandomVectorImplementationPointer_unique(self)

    def use_count(self):
        """use_count(RandomVectorImplementationPointer self) -> OT::UnsignedLong"""
        return _model_copula.RandomVectorImplementationPointer_use_count(self)

    def swap(self, *args):
        """swap(RandomVectorImplementationPointer self, RandomVectorImplementationPointer other)"""
        return _model_copula.RandomVectorImplementationPointer_swap(self, *args)

RandomVectorImplementationPointer_swigregister = _model_copula.RandomVectorImplementationPointer_swigregister
RandomVectorImplementationPointer_swigregister(RandomVectorImplementationPointer)

# This file is compatible with both classic and new-style classes.