# 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 class vtkReebGraphSimplificationMetric(__vtkmodules_vtkCommonCore.vtkObject): """ vtkReebGraphSimplificationMetric - abstract class for custom Reeb graph simplification metric design. Superclass: vtkObject This class makes it possible to design customized simplification metric evaluation algorithms, enabling the user to control the definition of what should be considered as noise or signal in the topological filtering process. References: "Topological persistence and simplification", H. Edelsbrunner, D. Letscher, and A. Zomorodian, Discrete Computational Geometry, 28:511-533, 2002. "Extreme elevation on a 2-manifold", P.K. Agarwal, H. Edelsbrunner, J. Harer, and Y. Wang, ACM Symposium on Computational Geometry, pp. 357-365, 2004. "Simplifying flexible isosurfaces using local geometric measures", H. Carr, J. Snoeyink, M van de Panne, IEEE Visualization, 497-504, 2004 "Loop surgery for volumetric meshes: Reeb graphs reduced to contour trees", J. Tierny, A. Gyulassy, E. Simon, V. Pascucci, IEEE Trans. on Vis. and Comp. Graph. (Proc of IEEE VIS), 15:1177-1184, 2009. See Graphics/Testing/Cxx/TestReebGraph.cxx for an example of concrete implementation. """ def ComputeMetric(self, mesh, field, startCriticalPoint, vertexList, endCriticalPoint): # real signature unknown; restored from __doc__ """ ComputeMetric(self, mesh:vtkDataSet, field:vtkDataArray, startCriticalPoint:int, vertexList:vtkAbstractArray, endCriticalPoint:int) -> float C++: virtual double ComputeMetric(vtkDataSet *mesh, vtkDataArray *field, vtkIdType startCriticalPoint, vtkAbstractArray *vertexList, vtkIdType endCriticalPoint) Function to implement in your simplification metric algorithm. Given the input mesh and the Ids of the vertices living on the Reeb graph arc to consider for removal, you should return a value between 0 and 1 (the smallest the more likely the arc will be removed, depending on the user-defined simplification threshold). """ return 0.0 def GetLowerBound(self): # real signature unknown; restored from __doc__ """ GetLowerBound(self) -> float C++: virtual double GetLowerBound() """ return 0.0 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 GetUpperBound(self): # real signature unknown; restored from __doc__ """ GetUpperBound(self) -> float C++: virtual double GetUpperBound() """ return 0.0 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) -> vtkReebGraphSimplificationMetric C++: vtkReebGraphSimplificationMetric *NewInstance() """ return vtkReebGraphSimplificationMetric def SafeDownCast(self, o): # real signature unknown; restored from __doc__ """ SafeDownCast(o:vtkObjectBase) -> vtkReebGraphSimplificationMetric C++: static vtkReebGraphSimplificationMetric *SafeDownCast( vtkObjectBase *o) """ return vtkReebGraphSimplificationMetric def SetLowerBound(self, _arg): # real signature unknown; restored from __doc__ """ SetLowerBound(self, _arg:float) -> None C++: virtual void SetLowerBound(double _arg) Set the lowest possible value for the custom metric space. This value can be set prior to launching the Reeb graph simplification and then used inside the ComputeMetric call to make sure the returned value of ComputeMetric call is indeed between 0 and 1. """ pass def SetUpperBound(self, _arg): # real signature unknown; restored from __doc__ """ SetUpperBound(self, _arg:float) -> None C++: virtual void SetUpperBound(double _arg) Set the highest possible value for the custom metric space. This value can be set prior to launching the Reeb graph simplification and then used inside the ComputeMetric call to make sure the returned value of ComputeMetric call is indeed between 0 and 1. """ 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__\': \'vtkReebGraphSimplificationMetric\', \'IsTypeOf\': , \'IsA\': , \'SafeDownCast\': , \'NewInstance\': , \'GetNumberOfGenerationsFromBaseType\': , \'GetNumberOfGenerationsFromBase\': , \'SetLowerBound\': , \'GetLowerBound\': , \'SetUpperBound\': , \'GetUpperBound\': , \'ComputeMetric\': , \'__new__\': , \'__repr__\': , \'__str__\': , \'__getattribute__\': , \'__setattr__\': , \'__delattr__\': , \'__dict__\': , \'__this__\': , \'__doc__\': \'vtkReebGraphSimplificationMetric - abstract class for custom Reeb\\ngraph simplification metric design.\\n\\nSuperclass: vtkObject\\n\\nThis class makes it possible to design customized simplification\\nmetric evaluation algorithms, enabling the user to control the\\ndefinition of what should be considered as noise or signal in the\\ntopological filtering process.\\n\\nReferences: "Topological persistence and simplification", H.\\nEdelsbrunner, D. Letscher, and A. Zomorodian, Discrete Computational\\nGeometry, 28:511-533, 2002.\\n\\n"Extreme elevation on a 2-manifold", P.K. Agarwal, H. Edelsbrunner,\\nJ. Harer, and Y. Wang, ACM Symposium on Computational Geometry, pp.\\n357-365, 2004.\\n\\n"Simplifying flexible isosurfaces using local geometric measures", H.\\nCarr, J. Snoeyink, M van de Panne, IEEE Visualization, 497-504, 2004\\n\\n"Loop surgery for volumetric meshes: Reeb graphs reduced to contour\\ntrees", J. Tierny, A. Gyulassy, E. Simon, V. Pascucci, IEEE Trans. on\\nVis. and Comp. Graph. (Proc of IEEE VIS), 15:1177-1184, 2009.\\n\\nSee Graphics/Testing/Cxx/TestReebGraph.cxx for an example of concrete\\nimplementation.\\n\\n\'})' __vtkname__ = 'vtkReebGraphSimplificationMetric'