# This file was automatically generated by SWIG (https://www.swig.org).
# Version 4.4.1
#
# Do not make changes to this file unless you know what you are doing - modify
# the SWIG interface file instead.

from sys import version_info as _swig_python_version_info
# Import the low-level C/C++ module
if getattr(globals().get("__spec__"), "parent", None) or __package__ or "." in __name__:
    from . import _itkBayesianClassifierInitializationImageFilterPython
else:
    import _itkBayesianClassifierInitializationImageFilterPython

try:
    import builtins as __builtin__
except ImportError:
    import __builtin__

_swig_new_instance_method = _itkBayesianClassifierInitializationImageFilterPython.SWIG_PyInstanceMethod_New
_swig_new_static_method = _itkBayesianClassifierInitializationImageFilterPython.SWIG_PyStaticMethod_New

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


def _swig_setattr_nondynamic_instance_variable(set):
    def set_instance_attr(self, name, value):
        if name == "this":
            set(self, name, value)
        elif name == "thisown":
            self.this.own(value)
        elif hasattr(self, name) and isinstance(getattr(type(self), name), property):
            set(self, name, value)
        else:
            raise AttributeError("You cannot add instance attributes to %s" % self)
    return set_instance_attr


def _swig_setattr_nondynamic_class_variable(set):
    def set_class_attr(cls, name, value):
        if hasattr(cls, name) and not isinstance(getattr(cls, name), property):
            set(cls, name, value)
        else:
            raise AttributeError("You cannot add class attributes to %s" % cls)
    return set_class_attr


def _swig_add_metaclass(metaclass):
    """Class decorator for adding a metaclass to a SWIG wrapped class - a slimmed down version of six.add_metaclass"""
    def wrapper(cls):
        return metaclass(cls.__name__, cls.__bases__, cls.__dict__.copy())
    return wrapper


class _SwigNonDynamicMeta(type):
    """Meta class to enforce nondynamic attributes (no new attributes) for a class"""
    __setattr__ = _swig_setattr_nondynamic_class_variable(type.__setattr__)


import ITKCommonBasePython
import pyBasePython
import itkImageToImageFilterBPython
import itkImageSourcePython
import itkImageSourceCommonPython
import itkImagePython
import itkVectorPython
import itkFixedArrayPython
import vnl_vectorPython
import vnl_matrixPython
import stdcomplexPython
import vnl_vector_refPython
import itkRGBPixelPython
import itkRGBAPixelPython
import itkMatrixPython
import itkPointPython
import itkCovariantVectorPython
import vnl_matrix_fixedPython
import itkSizePython
import itkIndexPython
import itkOffsetPython
import itkImageRegionPython
import itkSymmetricSecondRankTensorPython
import itkVectorImagePython
import itkVariableLengthVectorPython
import itkImageToImageFilterCommonPython

def itkBayesianClassifierInitializationImageFilterIF3F_New():
  return itkBayesianClassifierInitializationImageFilterIF3F.New()


def itkBayesianClassifierInitializationImageFilterIUC3F_New():
  return itkBayesianClassifierInitializationImageFilterIUC3F.New()


def itkBayesianClassifierInitializationImageFilterISS3F_New():
  return itkBayesianClassifierInitializationImageFilterISS3F.New()


def itkBayesianClassifierInitializationImageFilterIF2F_New():
  return itkBayesianClassifierInitializationImageFilterIF2F.New()


def itkBayesianClassifierInitializationImageFilterIUC2F_New():
  return itkBayesianClassifierInitializationImageFilterIUC2F.New()


def itkBayesianClassifierInitializationImageFilterISS2F_New():
  return itkBayesianClassifierInitializationImageFilterISS2F.New()

class itkBayesianClassifierInitializationImageFilterIF2F(itkImageToImageFilterBPython.itkImageToImageFilterIF2VIF2):
    r"""Proxy of C++ itkBayesianClassifierInitializationImageFilterIF2F class."""

    thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

    def __init__(self, *args, **kwargs):
        raise AttributeError("No constructor defined")
    __repr__ = _swig_repr
    __New_orig__ = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F___New_orig__)
    Clone = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_Clone)
    SetMembershipFunctions = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_SetMembershipFunctions)
    GetModifiableMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_GetModifiableMembershipFunctionContainer)
    GetMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_GetMembershipFunctionContainer)
    SetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_SetNumberOfClasses)
    GetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_GetNumberOfClasses)
    GenerateOutputInformation = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_GenerateOutputInformation)
    InputMultiplyOperatorCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_InputMultiplyOperatorCheck
    
    DoubleConvertibleToProbabilityCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_DoubleConvertibleToProbabilityCheck
    
    InputHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_InputHasNumericTraitsCheck
    
    ProbabilityHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_ProbabilityHasNumericTraitsCheck
    
    DoublePlusInputCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_DoublePlusInputCheck
    
    __swig_destroy__ = _itkBayesianClassifierInitializationImageFilterPython.delete_itkBayesianClassifierInitializationImageFilterIF2F
    cast = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_cast)
    GetPointer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_GetPointer)

    def New(*args, **kargs):
        """New() -> itkBayesianClassifierInitializationImageFilterIF2F

        Create a new object of the class itkBayesianClassifierInitializationImageFilterIF2F and set the input and the parameters if some
        named or non-named arguments are passed to that method.

        New() tries to assign all the non named parameters to the input of the new objects - the
        first non named parameter in the first input, etc.

        The named parameters are used by calling the method with the same name prefixed by 'Set'.

        Ex:

          itkBayesianClassifierInitializationImageFilterIF2F.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkBayesianClassifierInitializationImageFilterIF2F.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkBayesianClassifierInitializationImageFilterIF2F.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkBayesianClassifierInitializationImageFilterIF2F in _itkBayesianClassifierInitializationImageFilterPython:
_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF2F_swigregister(itkBayesianClassifierInitializationImageFilterIF2F)
class itkBayesianClassifierInitializationImageFilterIF3F(itkImageToImageFilterBPython.itkImageToImageFilterIF3VIF3):
    r"""Proxy of C++ itkBayesianClassifierInitializationImageFilterIF3F class."""

    thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

    def __init__(self, *args, **kwargs):
        raise AttributeError("No constructor defined")
    __repr__ = _swig_repr
    __New_orig__ = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F___New_orig__)
    Clone = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_Clone)
    SetMembershipFunctions = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_SetMembershipFunctions)
    GetModifiableMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_GetModifiableMembershipFunctionContainer)
    GetMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_GetMembershipFunctionContainer)
    SetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_SetNumberOfClasses)
    GetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_GetNumberOfClasses)
    GenerateOutputInformation = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_GenerateOutputInformation)
    InputMultiplyOperatorCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_InputMultiplyOperatorCheck
    
    DoubleConvertibleToProbabilityCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_DoubleConvertibleToProbabilityCheck
    
    InputHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_InputHasNumericTraitsCheck
    
    ProbabilityHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_ProbabilityHasNumericTraitsCheck
    
    DoublePlusInputCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_DoublePlusInputCheck
    
    __swig_destroy__ = _itkBayesianClassifierInitializationImageFilterPython.delete_itkBayesianClassifierInitializationImageFilterIF3F
    cast = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_cast)
    GetPointer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_GetPointer)

    def New(*args, **kargs):
        """New() -> itkBayesianClassifierInitializationImageFilterIF3F

        Create a new object of the class itkBayesianClassifierInitializationImageFilterIF3F and set the input and the parameters if some
        named or non-named arguments are passed to that method.

        New() tries to assign all the non named parameters to the input of the new objects - the
        first non named parameter in the first input, etc.

        The named parameters are used by calling the method with the same name prefixed by 'Set'.

        Ex:

          itkBayesianClassifierInitializationImageFilterIF3F.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkBayesianClassifierInitializationImageFilterIF3F.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkBayesianClassifierInitializationImageFilterIF3F.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkBayesianClassifierInitializationImageFilterIF3F in _itkBayesianClassifierInitializationImageFilterPython:
_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIF3F_swigregister(itkBayesianClassifierInitializationImageFilterIF3F)
class itkBayesianClassifierInitializationImageFilterISS2F(itkImageToImageFilterBPython.itkImageToImageFilterISS2VIF2):
    r"""Proxy of C++ itkBayesianClassifierInitializationImageFilterISS2F class."""

    thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

    def __init__(self, *args, **kwargs):
        raise AttributeError("No constructor defined")
    __repr__ = _swig_repr
    __New_orig__ = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F___New_orig__)
    Clone = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_Clone)
    SetMembershipFunctions = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_SetMembershipFunctions)
    GetModifiableMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_GetModifiableMembershipFunctionContainer)
    GetMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_GetMembershipFunctionContainer)
    SetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_SetNumberOfClasses)
    GetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_GetNumberOfClasses)
    GenerateOutputInformation = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_GenerateOutputInformation)
    InputMultiplyOperatorCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_InputMultiplyOperatorCheck
    
    DoubleConvertibleToProbabilityCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_DoubleConvertibleToProbabilityCheck
    
    InputHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_InputHasNumericTraitsCheck
    
    ProbabilityHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_ProbabilityHasNumericTraitsCheck
    
    DoublePlusInputCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_DoublePlusInputCheck
    
    __swig_destroy__ = _itkBayesianClassifierInitializationImageFilterPython.delete_itkBayesianClassifierInitializationImageFilterISS2F
    cast = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_cast)
    GetPointer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_GetPointer)

    def New(*args, **kargs):
        """New() -> itkBayesianClassifierInitializationImageFilterISS2F

        Create a new object of the class itkBayesianClassifierInitializationImageFilterISS2F and set the input and the parameters if some
        named or non-named arguments are passed to that method.

        New() tries to assign all the non named parameters to the input of the new objects - the
        first non named parameter in the first input, etc.

        The named parameters are used by calling the method with the same name prefixed by 'Set'.

        Ex:

          itkBayesianClassifierInitializationImageFilterISS2F.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkBayesianClassifierInitializationImageFilterISS2F.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkBayesianClassifierInitializationImageFilterISS2F.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkBayesianClassifierInitializationImageFilterISS2F in _itkBayesianClassifierInitializationImageFilterPython:
_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS2F_swigregister(itkBayesianClassifierInitializationImageFilterISS2F)
class itkBayesianClassifierInitializationImageFilterISS3F(itkImageToImageFilterBPython.itkImageToImageFilterISS3VIF3):
    r"""Proxy of C++ itkBayesianClassifierInitializationImageFilterISS3F class."""

    thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

    def __init__(self, *args, **kwargs):
        raise AttributeError("No constructor defined")
    __repr__ = _swig_repr
    __New_orig__ = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F___New_orig__)
    Clone = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_Clone)
    SetMembershipFunctions = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_SetMembershipFunctions)
    GetModifiableMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_GetModifiableMembershipFunctionContainer)
    GetMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_GetMembershipFunctionContainer)
    SetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_SetNumberOfClasses)
    GetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_GetNumberOfClasses)
    GenerateOutputInformation = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_GenerateOutputInformation)
    InputMultiplyOperatorCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_InputMultiplyOperatorCheck
    
    DoubleConvertibleToProbabilityCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_DoubleConvertibleToProbabilityCheck
    
    InputHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_InputHasNumericTraitsCheck
    
    ProbabilityHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_ProbabilityHasNumericTraitsCheck
    
    DoublePlusInputCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_DoublePlusInputCheck
    
    __swig_destroy__ = _itkBayesianClassifierInitializationImageFilterPython.delete_itkBayesianClassifierInitializationImageFilterISS3F
    cast = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_cast)
    GetPointer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_GetPointer)

    def New(*args, **kargs):
        """New() -> itkBayesianClassifierInitializationImageFilterISS3F

        Create a new object of the class itkBayesianClassifierInitializationImageFilterISS3F and set the input and the parameters if some
        named or non-named arguments are passed to that method.

        New() tries to assign all the non named parameters to the input of the new objects - the
        first non named parameter in the first input, etc.

        The named parameters are used by calling the method with the same name prefixed by 'Set'.

        Ex:

          itkBayesianClassifierInitializationImageFilterISS3F.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkBayesianClassifierInitializationImageFilterISS3F.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkBayesianClassifierInitializationImageFilterISS3F.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkBayesianClassifierInitializationImageFilterISS3F in _itkBayesianClassifierInitializationImageFilterPython:
_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterISS3F_swigregister(itkBayesianClassifierInitializationImageFilterISS3F)
class itkBayesianClassifierInitializationImageFilterIUC2F(itkImageToImageFilterBPython.itkImageToImageFilterIUC2VIF2):
    r"""Proxy of C++ itkBayesianClassifierInitializationImageFilterIUC2F class."""

    thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

    def __init__(self, *args, **kwargs):
        raise AttributeError("No constructor defined")
    __repr__ = _swig_repr
    __New_orig__ = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F___New_orig__)
    Clone = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_Clone)
    SetMembershipFunctions = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_SetMembershipFunctions)
    GetModifiableMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_GetModifiableMembershipFunctionContainer)
    GetMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_GetMembershipFunctionContainer)
    SetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_SetNumberOfClasses)
    GetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_GetNumberOfClasses)
    GenerateOutputInformation = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_GenerateOutputInformation)
    InputMultiplyOperatorCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_InputMultiplyOperatorCheck
    
    DoubleConvertibleToProbabilityCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_DoubleConvertibleToProbabilityCheck
    
    InputHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_InputHasNumericTraitsCheck
    
    ProbabilityHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_ProbabilityHasNumericTraitsCheck
    
    DoublePlusInputCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_DoublePlusInputCheck
    
    __swig_destroy__ = _itkBayesianClassifierInitializationImageFilterPython.delete_itkBayesianClassifierInitializationImageFilterIUC2F
    cast = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_cast)
    GetPointer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_GetPointer)

    def New(*args, **kargs):
        """New() -> itkBayesianClassifierInitializationImageFilterIUC2F

        Create a new object of the class itkBayesianClassifierInitializationImageFilterIUC2F and set the input and the parameters if some
        named or non-named arguments are passed to that method.

        New() tries to assign all the non named parameters to the input of the new objects - the
        first non named parameter in the first input, etc.

        The named parameters are used by calling the method with the same name prefixed by 'Set'.

        Ex:

          itkBayesianClassifierInitializationImageFilterIUC2F.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkBayesianClassifierInitializationImageFilterIUC2F.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkBayesianClassifierInitializationImageFilterIUC2F.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkBayesianClassifierInitializationImageFilterIUC2F in _itkBayesianClassifierInitializationImageFilterPython:
_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC2F_swigregister(itkBayesianClassifierInitializationImageFilterIUC2F)
class itkBayesianClassifierInitializationImageFilterIUC3F(itkImageToImageFilterBPython.itkImageToImageFilterIUC3VIF3):
    r"""Proxy of C++ itkBayesianClassifierInitializationImageFilterIUC3F class."""

    thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

    def __init__(self, *args, **kwargs):
        raise AttributeError("No constructor defined")
    __repr__ = _swig_repr
    __New_orig__ = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F___New_orig__)
    Clone = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_Clone)
    SetMembershipFunctions = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_SetMembershipFunctions)
    GetModifiableMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_GetModifiableMembershipFunctionContainer)
    GetMembershipFunctionContainer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_GetMembershipFunctionContainer)
    SetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_SetNumberOfClasses)
    GetNumberOfClasses = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_GetNumberOfClasses)
    GenerateOutputInformation = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_GenerateOutputInformation)
    InputMultiplyOperatorCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_InputMultiplyOperatorCheck
    
    DoubleConvertibleToProbabilityCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_DoubleConvertibleToProbabilityCheck
    
    InputHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_InputHasNumericTraitsCheck
    
    ProbabilityHasNumericTraitsCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_ProbabilityHasNumericTraitsCheck
    
    DoublePlusInputCheck = _itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_DoublePlusInputCheck
    
    __swig_destroy__ = _itkBayesianClassifierInitializationImageFilterPython.delete_itkBayesianClassifierInitializationImageFilterIUC3F
    cast = _swig_new_static_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_cast)
    GetPointer = _swig_new_instance_method(_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_GetPointer)

    def New(*args, **kargs):
        """New() -> itkBayesianClassifierInitializationImageFilterIUC3F

        Create a new object of the class itkBayesianClassifierInitializationImageFilterIUC3F and set the input and the parameters if some
        named or non-named arguments are passed to that method.

        New() tries to assign all the non named parameters to the input of the new objects - the
        first non named parameter in the first input, etc.

        The named parameters are used by calling the method with the same name prefixed by 'Set'.

        Ex:

          itkBayesianClassifierInitializationImageFilterIUC3F.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkBayesianClassifierInitializationImageFilterIUC3F.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkBayesianClassifierInitializationImageFilterIUC3F.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkBayesianClassifierInitializationImageFilterIUC3F in _itkBayesianClassifierInitializationImageFilterPython:
_itkBayesianClassifierInitializationImageFilterPython.itkBayesianClassifierInitializationImageFilterIUC3F_swigregister(itkBayesianClassifierInitializationImageFilterIUC3F)

