# encoding: utf-8 # module vtkmodules.vtkRenderingVolume # from C:\Users\xukai\Downloads\发票2\venv\Lib\site-packages\vtkmodules\vtkRenderingVolume.cp311-win_amd64.pyd # by generator 1.147 # no doc # imports import vtkmodules.vtkCommonCore as __vtkmodules_vtkCommonCore import vtkmodules.vtkCommonExecutionModel as __vtkmodules_vtkCommonExecutionModel import vtkmodules.vtkRenderingCore as __vtkmodules_vtkRenderingCore from .vtkEncodedGradientEstimator import vtkEncodedGradientEstimator class vtkFiniteDifferenceGradientEstimator(vtkEncodedGradientEstimator): """ vtkFiniteDifferenceGradientEstimator - Use finite differences to estimate gradient. Superclass: vtkEncodedGradientEstimator vtkFiniteDifferenceGradientEstimator is a concrete subclass of vtkEncodedGradientEstimator that uses a central differences technique to estimate the gradient. The gradient at some sample location (x,y,z) would be estimated by: nx = (f(x-dx,y,z) - f(x+dx,y,z)) / 2*dx; ny = (f(x,y-dy,z) - f(x,y+dy,z)) / 2*dy; nz = (f(x,y,z-dz) - f(x,y,z+dz)) / 2*dz; This value is normalized to determine a unit direction vector and a magnitude. The normal is computed in voxel space, and dx = dy = dz = SampleSpacingInVoxels. A scaling factor is applied to convert this normal from voxel space to world coordinates. @sa vtkEncodedGradientEstimator """ def GetNumberOfGenerationsFromBase(self, type): # real signature unknown; restored from __doc__ """ GetNumberOfGenerationsFromBase(self, type:str) -> int C++: vtkIdType GetNumberOfGenerationsFromBase(const char *type) override; Given the name of a base class of this class type, return the distance of inheritance between this class type and the named class (how many generations of inheritance are there between this class and the named class). If the named class is not in this class's inheritance tree, return a negative value. Valid responses will always be nonnegative. This method works in combination with vtkTypeMacro found in vtkSetGet.h. """ return 0 def GetNumberOfGenerationsFromBaseType(self, type): # real signature unknown; restored from __doc__ """ GetNumberOfGenerationsFromBaseType(type:str) -> int C++: static vtkIdType GetNumberOfGenerationsFromBaseType( const char *type) Given a the name of a base class of this class type, return the distance of inheritance between this class type and the named class (how many generations of inheritance are there between this class and the named class). If the named class is not in this class's inheritance tree, return a negative value. Valid responses will always be nonnegative. This method works in combination with vtkTypeMacro found in vtkSetGet.h. """ return 0 def GetSampleSpacingInVoxels(self): # real signature unknown; restored from __doc__ """ GetSampleSpacingInVoxels(self) -> int C++: virtual int GetSampleSpacingInVoxels() """ return 0 def IsA(self, type): # real signature unknown; restored from __doc__ """ IsA(self, type:str) -> int C++: vtkTypeBool IsA(const char *type) override; Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. """ return 0 def IsTypeOf(self, type): # real signature unknown; restored from __doc__ """ IsTypeOf(type:str) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Return 1 if this class type is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. """ return 0 def NewInstance(self): # real signature unknown; restored from __doc__ """ NewInstance(self) -> vtkFiniteDifferenceGradientEstimator C++: vtkFiniteDifferenceGradientEstimator *NewInstance() """ return vtkFiniteDifferenceGradientEstimator def SafeDownCast(self, o): # real signature unknown; restored from __doc__ """ SafeDownCast(o:vtkObjectBase) -> vtkFiniteDifferenceGradientEstimator C++: static vtkFiniteDifferenceGradientEstimator *SafeDownCast( vtkObjectBase *o) """ return vtkFiniteDifferenceGradientEstimator def SetSampleSpacingInVoxels(self, _arg): # real signature unknown; restored from __doc__ """ SetSampleSpacingInVoxels(self, _arg:int) -> None C++: virtual void SetSampleSpacingInVoxels(int _arg) Set/Get the spacing between samples for the finite differences method used to compute the normal. This spacing is in voxel units. """ pass def __delattr__(self, *args, **kwargs): # real signature unknown """ Implement delattr(self, name). """ pass def __getattribute__(self, *args, **kwargs): # real signature unknown """ Return getattr(self, name). """ pass def __init__(self, *args, **kwargs): # real signature unknown pass @staticmethod # known case of __new__ def __new__(*args, **kwargs): # real signature unknown """ Create and return a new object. See help(type) for accurate signature. """ pass def __repr__(self, *args, **kwargs): # real signature unknown """ Return repr(self). """ pass def __setattr__(self, *args, **kwargs): # real signature unknown """ Implement setattr(self, name, value). """ pass def __str__(self, *args, **kwargs): # real signature unknown """ Return str(self). """ pass __this__ = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """Pointer to the C++ object.""" __dict__ = None # (!) real value is "mappingproxy({'__vtkname__': 'vtkFiniteDifferenceGradientEstimator', 'IsTypeOf': , 'IsA': , 'SafeDownCast': , 'NewInstance': , 'GetNumberOfGenerationsFromBaseType': , 'GetNumberOfGenerationsFromBase': , 'SetSampleSpacingInVoxels': , 'GetSampleSpacingInVoxels': , '__new__': , '__repr__': , '__str__': , '__getattribute__': , '__setattr__': , '__delattr__': , '__dict__': , '__this__': , '__doc__': 'vtkFiniteDifferenceGradientEstimator - Use finite differences to\\nestimate gradient.\\n\\nSuperclass: vtkEncodedGradientEstimator\\n\\nvtkFiniteDifferenceGradientEstimator is a concrete subclass of\\n vtkEncodedGradientEstimator that uses a central differences\\ntechnique to\\n estimate the gradient. The gradient at some sample location (x,y,z)\\n would be estimated by:\\n\\n\\n nx = (f(x-dx,y,z) - f(x+dx,y,z)) / 2*dx;\\n ny = (f(x,y-dy,z) - f(x,y+dy,z)) / 2*dy;\\n nz = (f(x,y,z-dz) - f(x,y,z+dz)) / 2*dz;\\n\\n\\n This value is normalized to determine a unit direction vector and a\\n magnitude. The normal is computed in voxel space, and\\n dx = dy = dz = SampleSpacingInVoxels. A scaling factor is applied to\\n convert this normal from voxel space to world coordinates.\\n\\n@sa\\nvtkEncodedGradientEstimator\\n\\n'})" __vtkname__ = 'vtkFiniteDifferenceGradientEstimator'