# 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 _itkHistogramToProbabilityImageFilterPython
else:
    import _itkHistogramToProbabilityImageFilterPython

try:
    import builtins as __builtin__
except ImportError:
    import __builtin__

_swig_new_instance_method = _itkHistogramToProbabilityImageFilterPython.SWIG_PyInstanceMethod_New
_swig_new_static_method = _itkHistogramToProbabilityImageFilterPython.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 itkHistogramPython
import itkArrayPython
import vnl_vectorPython
import vnl_matrixPython
import stdcomplexPython
import pyBasePython
import ITKCommonBasePython
import itkSamplePython
import itkFixedArrayPython
import itkVectorPython
import vnl_vector_refPython
import itkImageSourcePython
import itkImagePython
import itkIndexPython
import itkOffsetPython
import itkSizePython
import itkPointPython
import itkSymmetricSecondRankTensorPython
import itkMatrixPython
import itkCovariantVectorPython
import vnl_matrix_fixedPython
import itkRGBAPixelPython
import itkRGBPixelPython
import itkImageRegionPython
import itkVectorImagePython
import itkVariableLengthVectorPython
import itkImageSourceCommonPython

def itkHistogramToProbabilityImageFilterHDIF3_New():
  return itkHistogramToProbabilityImageFilterHDIF3.New()


def itkHistogramToProbabilityImageFilterHDIF3_Superclass_New():
  return itkHistogramToProbabilityImageFilterHDIF3_Superclass.New()


def itkHistogramToProbabilityImageFilterHFIF3_New():
  return itkHistogramToProbabilityImageFilterHFIF3.New()


def itkHistogramToProbabilityImageFilterHFIF3_Superclass_New():
  return itkHistogramToProbabilityImageFilterHFIF3_Superclass.New()


def itkHistogramToProbabilityImageFilterHDIF2_New():
  return itkHistogramToProbabilityImageFilterHDIF2.New()


def itkHistogramToProbabilityImageFilterHDIF2_Superclass_New():
  return itkHistogramToProbabilityImageFilterHDIF2_Superclass.New()


def itkHistogramToProbabilityImageFilterHFIF2_New():
  return itkHistogramToProbabilityImageFilterHFIF2.New()


def itkHistogramToProbabilityImageFilterHFIF2_Superclass_New():
  return itkHistogramToProbabilityImageFilterHFIF2_Superclass.New()

class itkHistogramToProbabilityImageFilterHDIF2_Superclass(itkImageSourcePython.itkImageSourceIF2):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHDIF2_Superclass 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_Clone)
    SetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_SetInput)
    GetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_GetInput)
    SetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_SetFunctor)
    GetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_GetFunctor)
    SetTotalFrequency = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_SetTotalFrequency)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHDIF2_Superclass
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHDIF2_Superclass

        Create a new object of the class itkHistogramToProbabilityImageFilterHDIF2_Superclass 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:

          itkHistogramToProbabilityImageFilterHDIF2_Superclass.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHDIF2_Superclass.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHDIF2_Superclass.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHDIF2_Superclass in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Superclass_swigregister(itkHistogramToProbabilityImageFilterHDIF2_Superclass)
class itkHistogramToProbabilityImageFilterHDIF3_Superclass(itkImageSourcePython.itkImageSourceIF3):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHDIF3_Superclass 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_Clone)
    SetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_SetInput)
    GetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_GetInput)
    SetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_SetFunctor)
    GetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_GetFunctor)
    SetTotalFrequency = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_SetTotalFrequency)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHDIF3_Superclass
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHDIF3_Superclass

        Create a new object of the class itkHistogramToProbabilityImageFilterHDIF3_Superclass 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:

          itkHistogramToProbabilityImageFilterHDIF3_Superclass.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHDIF3_Superclass.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHDIF3_Superclass.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHDIF3_Superclass in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Superclass_swigregister(itkHistogramToProbabilityImageFilterHDIF3_Superclass)
class itkHistogramToProbabilityImageFilterHFIF2_Superclass(itkImageSourcePython.itkImageSourceIF2):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHFIF2_Superclass 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_Clone)
    SetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_SetInput)
    GetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_GetInput)
    SetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_SetFunctor)
    GetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_GetFunctor)
    SetTotalFrequency = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_SetTotalFrequency)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHFIF2_Superclass
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHFIF2_Superclass

        Create a new object of the class itkHistogramToProbabilityImageFilterHFIF2_Superclass 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:

          itkHistogramToProbabilityImageFilterHFIF2_Superclass.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHFIF2_Superclass.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHFIF2_Superclass.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHFIF2_Superclass in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Superclass_swigregister(itkHistogramToProbabilityImageFilterHFIF2_Superclass)
class itkHistogramToProbabilityImageFilterHFIF3_Superclass(itkImageSourcePython.itkImageSourceIF3):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHFIF3_Superclass 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_Clone)
    SetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_SetInput)
    GetInput = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_GetInput)
    SetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_SetFunctor)
    GetFunctor = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_GetFunctor)
    SetTotalFrequency = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_SetTotalFrequency)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHFIF3_Superclass
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHFIF3_Superclass

        Create a new object of the class itkHistogramToProbabilityImageFilterHFIF3_Superclass 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:

          itkHistogramToProbabilityImageFilterHFIF3_Superclass.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHFIF3_Superclass.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHFIF3_Superclass.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHFIF3_Superclass in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Superclass_swigregister(itkHistogramToProbabilityImageFilterHFIF3_Superclass)
class itkHistogramToProbabilityImageFilterHDIF2(itkHistogramToProbabilityImageFilterHDIF2_Superclass):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHDIF2 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_Clone)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHDIF2
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHDIF2

        Create a new object of the class itkHistogramToProbabilityImageFilterHDIF2 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:

          itkHistogramToProbabilityImageFilterHDIF2.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHDIF2.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHDIF2.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHDIF2 in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF2_swigregister(itkHistogramToProbabilityImageFilterHDIF2)
class itkHistogramToProbabilityImageFilterHDIF3(itkHistogramToProbabilityImageFilterHDIF3_Superclass):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHDIF3 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_Clone)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHDIF3
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHDIF3

        Create a new object of the class itkHistogramToProbabilityImageFilterHDIF3 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:

          itkHistogramToProbabilityImageFilterHDIF3.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHDIF3.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHDIF3.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHDIF3 in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHDIF3_swigregister(itkHistogramToProbabilityImageFilterHDIF3)
class itkHistogramToProbabilityImageFilterHFIF2(itkHistogramToProbabilityImageFilterHFIF2_Superclass):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHFIF2 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_Clone)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHFIF2
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHFIF2

        Create a new object of the class itkHistogramToProbabilityImageFilterHFIF2 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:

          itkHistogramToProbabilityImageFilterHFIF2.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHFIF2.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHFIF2.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHFIF2 in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF2_swigregister(itkHistogramToProbabilityImageFilterHFIF2)
class itkHistogramToProbabilityImageFilterHFIF3(itkHistogramToProbabilityImageFilterHFIF3_Superclass):
    r"""Proxy of C++ itkHistogramToProbabilityImageFilterHFIF3 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(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3___New_orig__)
    Clone = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_Clone)
    __swig_destroy__ = _itkHistogramToProbabilityImageFilterPython.delete_itkHistogramToProbabilityImageFilterHFIF3
    cast = _swig_new_static_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_cast)
    GetPointer = _swig_new_instance_method(_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_GetPointer)

    def New(*args, **kargs):
        """New() -> itkHistogramToProbabilityImageFilterHFIF3

        Create a new object of the class itkHistogramToProbabilityImageFilterHFIF3 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:

          itkHistogramToProbabilityImageFilterHFIF3.New( reader, Threshold=10 )

        is (most of the time) equivalent to:

          obj = itkHistogramToProbabilityImageFilterHFIF3.New()
          obj.SetInput( 0, reader.GetOutput() )
          obj.SetThreshold( 10 )
        """
        obj = itkHistogramToProbabilityImageFilterHFIF3.__New_orig__()
        import itkTemplate
        itkTemplate.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkHistogramToProbabilityImageFilterHFIF3 in _itkHistogramToProbabilityImageFilterPython:
_itkHistogramToProbabilityImageFilterPython.itkHistogramToProbabilityImageFilterHFIF3_swigregister(itkHistogramToProbabilityImageFilterHFIF3)

