# 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.


import collections

from sys import version_info as _version_info
if _version_info < (3, 7, 0):
    raise RuntimeError("Python 3.7 or later required")

from . import _ITKCommonPython


from . import _ITKLevelSetsPython



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 _itkLaplacianSegmentationLevelSetImageFilterPython
else:
    import _itkLaplacianSegmentationLevelSetImageFilterPython

try:
    import builtins as __builtin__
except ImportError:
    import __builtin__

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__)


if _swig_python_version_info[0:2] >= (3, 3):
    import collections.abc
else:
    import collections

import itk.ITKCommonBasePython
import itk.itkMatrixPython
import itk.vnl_matrix_fixedPython
import itk.vnl_vectorPython
import itk.stdcomplexPython
import itk.pyBasePython
import itk.vnl_matrixPython
import itk.itkPointPython
import itk.vnl_vector_refPython
import itk.itkFixedArrayPython
import itk.itkVectorPython
import itk.itkCovariantVectorPython
import itk.itkSegmentationLevelSetImageFilterPython
import itk.itkSparseFieldLevelSetImageFilterPython
import itk.itkFiniteDifferenceImageFilterPython
import itk.itkInPlaceImageFilterAPython
import itk.itkImageToImageFilterBPython
import itk.itkImageRegionPython
import itk.itkSizePython
import itk.itkIndexPython
import itk.itkOffsetPython
import itk.itkImageSourcePython
import itk.itkImagePython
import itk.itkRGBPixelPython
import itk.itkSymmetricSecondRankTensorPython
import itk.itkRGBAPixelPython
import itk.itkImageSourceCommonPython
import itk.itkVectorImagePython
import itk.itkVariableLengthVectorPython
import itk.itkPhasedArray3DSpecialCoordinatesImagePython
import itk.itkImageToImageFilterCommonPython
import itk.itkImageToImageFilterAPython
import itk.itkFiniteDifferenceFunctionPython
import itk.itkSegmentationLevelSetFunctionPython
import itk.itkLevelSetFunctionPython

def itkLaplacianSegmentationLevelSetImageFilterIF2IF2F_New():
    return itkLaplacianSegmentationLevelSetImageFilterIF2IF2F.New()

class itkLaplacianSegmentationLevelSetImageFilterIF2IF2F(itk.itkSegmentationLevelSetImageFilterPython.itkSegmentationLevelSetImageFilterIF2IF2F):
    r"""Proxy of C++ itkLaplacianSegmentationLevelSetImageFilterIF2IF2F 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

    @staticmethod
    def __New_orig__():
        r"""__New_orig__() -> itkLaplacianSegmentationLevelSetImageFilterIF2IF2F_Pointer"""
        return _itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF2IF2F___New_orig__()

    def Clone(self):
        r"""Clone(self) -> itkLaplacianSegmentationLevelSetImageFilterIF2IF2F_Pointer"""
        return _itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF2IF2F_Clone(self)
    __swig_destroy__ = _itkLaplacianSegmentationLevelSetImageFilterPython.delete_itkLaplacianSegmentationLevelSetImageFilterIF2IF2F

    @staticmethod
    def cast(obj):
        r"""
        cast(obj) -> itkLaplacianSegmentationLevelSetImageFilterIF2IF2F

        Parameters
        ----------
        obj: itkLightObject *

        """
        return _itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF2IF2F_cast(obj)

    def New(*args, **kargs):
        """New() -> itkLaplacianSegmentationLevelSetImageFilterIF2IF2F

        Create a new object of the class itkLaplacianSegmentationLevelSetImageFilterIF2IF2F 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:

          itkLaplacianSegmentationLevelSetImageFilterIF2IF2F.New(reader, threshold=10)

        is (most of the time) equivalent to:

          obj = itkLaplacianSegmentationLevelSetImageFilterIF2IF2F.New()
          obj.SetInput(0, reader.GetOutput())
          obj.SetThreshold(10)
        """
        obj = itkLaplacianSegmentationLevelSetImageFilterIF2IF2F.__New_orig__()
        from itk.support import template_class
        template_class.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkLaplacianSegmentationLevelSetImageFilterIF2IF2F in _itkLaplacianSegmentationLevelSetImageFilterPython:
_itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF2IF2F_swigregister(itkLaplacianSegmentationLevelSetImageFilterIF2IF2F)

def itkLaplacianSegmentationLevelSetImageFilterIF3IF3F_New():
    return itkLaplacianSegmentationLevelSetImageFilterIF3IF3F.New()

class itkLaplacianSegmentationLevelSetImageFilterIF3IF3F(itk.itkSegmentationLevelSetImageFilterPython.itkSegmentationLevelSetImageFilterIF3IF3F):
    r"""Proxy of C++ itkLaplacianSegmentationLevelSetImageFilterIF3IF3F 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

    @staticmethod
    def __New_orig__():
        r"""__New_orig__() -> itkLaplacianSegmentationLevelSetImageFilterIF3IF3F_Pointer"""
        return _itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF3IF3F___New_orig__()

    def Clone(self):
        r"""Clone(self) -> itkLaplacianSegmentationLevelSetImageFilterIF3IF3F_Pointer"""
        return _itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF3IF3F_Clone(self)
    __swig_destroy__ = _itkLaplacianSegmentationLevelSetImageFilterPython.delete_itkLaplacianSegmentationLevelSetImageFilterIF3IF3F

    @staticmethod
    def cast(obj):
        r"""
        cast(obj) -> itkLaplacianSegmentationLevelSetImageFilterIF3IF3F

        Parameters
        ----------
        obj: itkLightObject *

        """
        return _itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF3IF3F_cast(obj)

    def New(*args, **kargs):
        """New() -> itkLaplacianSegmentationLevelSetImageFilterIF3IF3F

        Create a new object of the class itkLaplacianSegmentationLevelSetImageFilterIF3IF3F 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:

          itkLaplacianSegmentationLevelSetImageFilterIF3IF3F.New(reader, threshold=10)

        is (most of the time) equivalent to:

          obj = itkLaplacianSegmentationLevelSetImageFilterIF3IF3F.New()
          obj.SetInput(0, reader.GetOutput())
          obj.SetThreshold(10)
        """
        obj = itkLaplacianSegmentationLevelSetImageFilterIF3IF3F.__New_orig__()
        from itk.support import template_class
        template_class.New(obj, *args, **kargs)
        return obj
    New = staticmethod(New)


# Register itkLaplacianSegmentationLevelSetImageFilterIF3IF3F in _itkLaplacianSegmentationLevelSetImageFilterPython:
_itkLaplacianSegmentationLevelSetImageFilterPython.itkLaplacianSegmentationLevelSetImageFilterIF3IF3F_swigregister(itkLaplacianSegmentationLevelSetImageFilterIF3IF3F)

from itk.support import helpers
import itk.support.types as itkt
from typing import Sequence, Tuple, Union

@helpers.accept_array_like_xarray_torch
def laplacian_segmentation_level_set_image_filter(*args: itkt.ImageLike,  maximum_iterations: int=..., feature_image: itkt.Image=..., initial_image: itkt.Image=..., speed_image: itkt.Image=..., advection_image: itkt.Image=..., use_negative_features: bool=..., reverse_expansion_direction: bool=..., auto_generate_speed_advection: bool=..., feature_scaling: float=..., propagation_scaling: float=..., advection_scaling: float=..., curvature_scaling: float=..., use_minimal_curvature: bool=..., segmentation_function=..., maximum_curvature_time_step: float=..., maximum_propagation_time_step: float=..., number_of_layers: int=..., iso_surface_value: float=..., interpolate_surface_location: bool=..., difference_function=..., number_of_iterations: int=..., use_image_spacing: bool=..., maximum_rms_error: float=..., rms_change: float=..., manual_reinitialization: bool=..., is_initialized: bool=...,**kwargs)-> itkt.ImageSourceReturn:
    """Functional interface for LaplacianSegmentationLevelSetImageFilter"""
    import itk

    kwarg_typehints = { 'maximum_iterations':maximum_iterations,'feature_image':feature_image,'initial_image':initial_image,'speed_image':speed_image,'advection_image':advection_image,'use_negative_features':use_negative_features,'reverse_expansion_direction':reverse_expansion_direction,'auto_generate_speed_advection':auto_generate_speed_advection,'feature_scaling':feature_scaling,'propagation_scaling':propagation_scaling,'advection_scaling':advection_scaling,'curvature_scaling':curvature_scaling,'use_minimal_curvature':use_minimal_curvature,'segmentation_function':segmentation_function,'maximum_curvature_time_step':maximum_curvature_time_step,'maximum_propagation_time_step':maximum_propagation_time_step,'number_of_layers':number_of_layers,'iso_surface_value':iso_surface_value,'interpolate_surface_location':interpolate_surface_location,'difference_function':difference_function,'number_of_iterations':number_of_iterations,'use_image_spacing':use_image_spacing,'maximum_rms_error':maximum_rms_error,'rms_change':rms_change,'manual_reinitialization':manual_reinitialization,'is_initialized':is_initialized }
    specified_kwarg_typehints = { k:v for (k,v) in kwarg_typehints.items() if kwarg_typehints[k] is not ... }
    kwargs.update(specified_kwarg_typehints)


    instance = itk.LaplacianSegmentationLevelSetImageFilter.New(*args, **kwargs)

    return instance.__internal_call__()

def laplacian_segmentation_level_set_image_filter_init_docstring():
    import itk
    from itk.support import template_class

    filter_class = itk.ITKLevelSets.LaplacianSegmentationLevelSetImageFilter
    laplacian_segmentation_level_set_image_filter.process_object = filter_class
    is_template = isinstance(filter_class, template_class.itkTemplate)
    if is_template:
        filter_object = filter_class.values()[0]
    else:
        filter_object = filter_class

    laplacian_segmentation_level_set_image_filter.__doc__ = filter_object.__doc__



