# encoding: utf-8 # module vtkmodules.vtkCommonDataModel # from C:\Users\xukai\Downloads\发票2\venv\Lib\site-packages\vtkmodules\vtkCommonDataModel.cp311-win_amd64.pyd # by generator 1.147 # no doc # imports import vtkmodules.vtkCommonCore as __vtkmodules_vtkCommonCore import vtkmodules.vtkCommonMath as __vtkmodules_vtkCommonMath import vtkmodules.vtkCommonTransforms as __vtkmodules_vtkCommonTransforms from .vtkImplicitFunction import vtkImplicitFunction class vtkImplicitSum(vtkImplicitFunction): """ vtkImplicitSum - implicit sum of other implicit functions Superclass: vtkImplicitFunction vtkImplicitSum produces a linear combination of other implicit functions. The contribution of each function is weighted by a scalar coefficient. The NormalizeByWeight option normalizes the output so that the scalar weights add up to 1. Note that this function gives accurate sums and gradients only if the input functions are linear. """ def AddFunction(self, in_, weight): # real signature unknown; restored from __doc__ """ AddFunction(self, in_:vtkImplicitFunction, weight:float) -> None C++: void AddFunction(vtkImplicitFunction *in, double weight) AddFunction(self, in_:vtkImplicitFunction) -> None C++: void AddFunction(vtkImplicitFunction *in) Add another implicit function to the list of functions, along with a weighting factor. """ pass def EvaluateFunction(self, x, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__ """ EvaluateFunction(self, x:[float, float, float]) -> float C++: double EvaluateFunction(double x[3]) override; EvaluateFunction(self, input:vtkDataArray, output:vtkDataArray) -> None C++: virtual void EvaluateFunction(vtkDataArray *input, vtkDataArray *output) EvaluateFunction(self, x:float, y:float, z:float) -> float C++: virtual double EvaluateFunction(double x, double y, double z) Evaluate function at position x-y-z and return value. You should generally not call this method directly, you should use FunctionValue() instead. This method must be implemented by any derived class. """ pass def EvaluateGradient(self, x, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__ """ EvaluateGradient(self, x:[float, float, float], g:[float, float, float]) -> None C++: void EvaluateGradient(double x[3], double g[3]) override; Evaluate gradient of the weighted sum of functions. Input functions should be linear. """ pass def GetMTime(self): # real signature unknown; restored from __doc__ """ GetMTime(self) -> int C++: vtkMTimeType GetMTime() override; Override modified time retrieval because of object dependencies. """ return 0 def GetNormalizeByWeight(self): # real signature unknown; restored from __doc__ """ GetNormalizeByWeight(self) -> int C++: virtual vtkTypeBool GetNormalizeByWeight() """ return 0 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 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) -> vtkImplicitSum C++: vtkImplicitSum *NewInstance() """ return vtkImplicitSum def NormalizeByWeightOff(self): # real signature unknown; restored from __doc__ """ NormalizeByWeightOff(self) -> None C++: virtual void NormalizeByWeightOff() """ pass def NormalizeByWeightOn(self): # real signature unknown; restored from __doc__ """ NormalizeByWeightOn(self) -> None C++: virtual void NormalizeByWeightOn() """ pass def RemoveAllFunctions(self): # real signature unknown; restored from __doc__ """ RemoveAllFunctions(self) -> None C++: void RemoveAllFunctions() Remove all functions from the list. """ pass def SafeDownCast(self, o): # real signature unknown; restored from __doc__ """ SafeDownCast(o:vtkObjectBase) -> vtkImplicitSum C++: static vtkImplicitSum *SafeDownCast(vtkObjectBase *o) """ return vtkImplicitSum def SetFunctionWeight(self, f, weight): # real signature unknown; restored from __doc__ """ SetFunctionWeight(self, f:vtkImplicitFunction, weight:float) -> None C++: void SetFunctionWeight(vtkImplicitFunction *f, double weight) Set the weight (coefficient) of the given function to be weight. """ pass def SetNormalizeByWeight(self, _arg): # real signature unknown; restored from __doc__ """ SetNormalizeByWeight(self, _arg:int) -> None C++: virtual void SetNormalizeByWeight(vtkTypeBool _arg) When calculating the function and gradient values of the composite function, setting NormalizeByWeight on will divide the final result by the total weight of the component functions. This process does not otherwise normalize the gradient vector. By default, NormalizeByWeight is off. """ 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__': 'vtkImplicitSum', 'IsTypeOf': , 'IsA': , 'SafeDownCast': , 'NewInstance': , 'GetNumberOfGenerationsFromBaseType': , 'GetNumberOfGenerationsFromBase': , 'EvaluateFunction': , 'EvaluateGradient': , 'GetMTime': , 'AddFunction': , 'RemoveAllFunctions': , 'SetFunctionWeight': , 'SetNormalizeByWeight': , 'GetNormalizeByWeight': , 'NormalizeByWeightOn': , 'NormalizeByWeightOff': , '__new__': , '__repr__': , '__str__': , '__getattribute__': , '__setattr__': , '__delattr__': , '__dict__': , '__this__': , '__doc__': 'vtkImplicitSum - implicit sum of other implicit functions\\n\\nSuperclass: vtkImplicitFunction\\n\\nvtkImplicitSum produces a linear combination of other implicit\\nfunctions. The contribution of each function is weighted by a scalar\\ncoefficient. The NormalizeByWeight option normalizes the output so\\nthat the scalar weights add up to 1. Note that this function gives\\naccurate sums and gradients only if the input functions are linear.\\n\\n'})" __vtkname__ = 'vtkImplicitSum'