// python wrapper for vtkLinearKernel // #define VTK_WRAPPING_CXX #define VTK_STREAMS_FWD_ONLY #include "vtkPythonArgs.h" #include "vtkPythonOverload.h" #include "vtkConfigure.h" #include #include #include "vtkVariant.h" #include "vtkIndent.h" #include "vtkLinearKernel.h" extern "C" { VTK_ABI_EXPORT void PyVTKAddFile_vtkLinearKernel(PyObject *); } extern "C" { VTK_ABI_EXPORT PyObject *PyvtkLinearKernel_ClassNew(); } #ifndef DECLARED_PyvtkGeneralizedKernel_ClassNew extern "C" { PyObject *PyvtkGeneralizedKernel_ClassNew(); } #define DECLARED_PyvtkGeneralizedKernel_ClassNew #endif static const char *PyvtkLinearKernel_Doc = "vtkLinearKernel - a linear interpolation kernel\n\n" "Superclass: vtkGeneralizedKernel\n\n" "vtkLinearKernel is an interpolation kernel that averages the\n" "contributions of all points in the basis.\n\n" "@sa\n" "vtkPointInterpolator vtkInterpolationKernel vtkGeneralizedKernel\n" "vtkGaussianKernel vtkLinearKernel vtkShepardKernel\n\n"; static PyObject * PyvtkLinearKernel_IsTypeOf(PyObject *, PyObject *args) { vtkPythonArgs ap(args, "IsTypeOf"); char *temp0 = nullptr; PyObject *result = nullptr; if (ap.CheckArgCount(1) && ap.GetValue(temp0)) { int tempr = vtkLinearKernel::IsTypeOf(temp0); if (!ap.ErrorOccurred()) { result = ap.BuildValue(tempr); } } return result; } static PyObject * PyvtkLinearKernel_IsA(PyObject *self, PyObject *args) { vtkPythonArgs ap(self, args, "IsA"); vtkObjectBase *vp = ap.GetSelfPointer(self, args); vtkLinearKernel *op = static_cast(vp); char *temp0 = nullptr; PyObject *result = nullptr; if (op && ap.CheckArgCount(1) && ap.GetValue(temp0)) { int tempr = (ap.IsBound() ? op->IsA(temp0) : op->vtkLinearKernel::IsA(temp0)); if (!ap.ErrorOccurred()) { result = ap.BuildValue(tempr); } } return result; } static PyObject * PyvtkLinearKernel_SafeDownCast(PyObject *, PyObject *args) { vtkPythonArgs ap(args, "SafeDownCast"); vtkObjectBase *temp0 = nullptr; PyObject *result = nullptr; if (ap.CheckArgCount(1) && ap.GetVTKObject(temp0, "vtkObjectBase")) { vtkLinearKernel *tempr = vtkLinearKernel::SafeDownCast(temp0); if (!ap.ErrorOccurred()) { result = ap.BuildVTKObject(tempr); } } return result; } static PyObject * PyvtkLinearKernel_NewInstance(PyObject *self, PyObject *args) { vtkPythonArgs ap(self, args, "NewInstance"); vtkObjectBase *vp = ap.GetSelfPointer(self, args); vtkLinearKernel *op = static_cast(vp); PyObject *result = nullptr; if (op && ap.CheckArgCount(0)) { vtkLinearKernel *tempr = (ap.IsBound() ? op->NewInstance() : op->vtkLinearKernel::NewInstance()); if (!ap.ErrorOccurred()) { result = ap.BuildVTKObject(tempr); if (result && PyVTKObject_Check(result)) { PyVTKObject_GetObject(result)->UnRegister(0); PyVTKObject_SetFlag(result, VTK_PYTHON_IGNORE_UNREGISTER, 1); } } } return result; } static PyObject * PyvtkLinearKernel_ComputeWeights_s1(PyObject *self, PyObject *args) { vtkPythonArgs ap(self, args, "ComputeWeights"); vtkObjectBase *vp = ap.GetSelfPointer(self, args); vtkLinearKernel *op = static_cast(vp); const int size0 = 3; double temp0[3]; double save0[3]; vtkIdList *temp1 = nullptr; vtkDoubleArray *temp2 = nullptr; vtkDoubleArray *temp3 = nullptr; PyObject *result = nullptr; if (op && ap.CheckArgCount(4) && ap.GetArray(temp0, size0) && ap.GetVTKObject(temp1, "vtkIdList") && ap.GetVTKObject(temp2, "vtkDoubleArray") && ap.GetVTKObject(temp3, "vtkDoubleArray")) { ap.SaveArray(temp0, save0, size0); vtkIdType tempr = (ap.IsBound() ? op->ComputeWeights(temp0, temp1, temp2, temp3) : op->vtkLinearKernel::ComputeWeights(temp0, temp1, temp2, temp3)); if (ap.ArrayHasChanged(temp0, save0, size0) && !ap.ErrorOccurred()) { ap.SetArray(0, temp0, size0); } if (!ap.ErrorOccurred()) { result = ap.BuildValue(tempr); } } return result; } static PyObject * PyvtkLinearKernel_ComputeWeights_s2(PyObject *self, PyObject *args) { vtkPythonArgs ap(self, args, "ComputeWeights"); vtkObjectBase *vp = ap.GetSelfPointer(self, args); vtkLinearKernel *op = static_cast(vp); const int size0 = 3; double temp0[3]; double save0[3]; vtkIdList *temp1 = nullptr; vtkDoubleArray *temp2 = nullptr; PyObject *result = nullptr; if (op && ap.CheckArgCount(3) && ap.GetArray(temp0, size0) && ap.GetVTKObject(temp1, "vtkIdList") && ap.GetVTKObject(temp2, "vtkDoubleArray")) { ap.SaveArray(temp0, save0, size0); vtkIdType tempr = (ap.IsBound() ? op->ComputeWeights(temp0, temp1, temp2) : op->vtkLinearKernel::ComputeWeights(temp0, temp1, temp2)); if (ap.ArrayHasChanged(temp0, save0, size0) && !ap.ErrorOccurred()) { ap.SetArray(0, temp0, size0); } if (!ap.ErrorOccurred()) { result = ap.BuildValue(tempr); } } return result; } static PyObject * PyvtkLinearKernel_ComputeWeights(PyObject *self, PyObject *args) { int nargs = vtkPythonArgs::GetArgCount(self, args); switch(nargs) { case 4: return PyvtkLinearKernel_ComputeWeights_s1(self, args); case 3: return PyvtkLinearKernel_ComputeWeights_s2(self, args); } vtkPythonArgs::ArgCountError(nargs, "ComputeWeights"); return nullptr; } static PyMethodDef PyvtkLinearKernel_Methods[] = { {"IsTypeOf", PyvtkLinearKernel_IsTypeOf, METH_VARARGS, "V.IsTypeOf(string) -> int\nC++: static vtkTypeBool IsTypeOf(const char *type)\n\nStandard methods for instantiation, obtaining type information,\nand printing.\n"}, {"IsA", PyvtkLinearKernel_IsA, METH_VARARGS, "V.IsA(string) -> int\nC++: vtkTypeBool IsA(const char *type) override;\n\nStandard methods for instantiation, obtaining type information,\nand printing.\n"}, {"SafeDownCast", PyvtkLinearKernel_SafeDownCast, METH_VARARGS, "V.SafeDownCast(vtkObjectBase) -> vtkLinearKernel\nC++: static vtkLinearKernel *SafeDownCast(vtkObjectBase *o)\n\nStandard methods for instantiation, obtaining type information,\nand printing.\n"}, {"NewInstance", PyvtkLinearKernel_NewInstance, METH_VARARGS, "V.NewInstance() -> vtkLinearKernel\nC++: vtkLinearKernel *NewInstance()\n\nStandard methods for instantiation, obtaining type information,\nand printing.\n"}, {"ComputeWeights", PyvtkLinearKernel_ComputeWeights, METH_VARARGS, "V.ComputeWeights([float, float, float], vtkIdList, vtkDoubleArray,\n vtkDoubleArray) -> int\nC++: vtkIdType ComputeWeights(double x[3], vtkIdList *pIds,\n vtkDoubleArray *prob, vtkDoubleArray *weights) override;\nV.ComputeWeights([float, float, float], vtkIdList, vtkDoubleArray)\n -> int\nC++: vtkIdType ComputeWeights(double x[3], vtkIdList *pIds,\n vtkDoubleArray *weights) override;\n\nGiven a point x, a list of basis points pIds, and a probability\nweighting function prob, compute interpolation weights associated\nwith these basis points. Note that basis points list pIds, the\nprobability weighting prob, and the weights array are provided by\nthe caller of the method, and may be dynamically resized as\nnecessary. The method returns the number of weights (pIds may be\nresized in some cases). Typically this method is called after\nComputeBasis(), although advanced users can invoke\nComputeWeights() and provide the interpolation basis points pIds\ndirectly. The probably weighting prob are numbers 0<=prob<=1\nwhich are multiplied against the interpolation weights before\nnormalization. They are estimates of local confidence of weights.\nThe prob may be nullptr in which all probabilities are considered\n=1.\n"}, {nullptr, nullptr, 0, nullptr} }; static PyTypeObject PyvtkLinearKernel_Type = { PyVarObject_HEAD_INIT(&PyType_Type, 0) "vtkFiltersPointsPython.vtkLinearKernel", // tp_name sizeof(PyVTKObject), // tp_basicsize 0, // tp_itemsize PyVTKObject_Delete, // tp_dealloc 0, // tp_print nullptr, // tp_getattr nullptr, // tp_setattr nullptr, // tp_compare PyVTKObject_Repr, // tp_repr nullptr, // tp_as_number nullptr, // tp_as_sequence nullptr, // tp_as_mapping nullptr, // tp_hash nullptr, // tp_call PyVTKObject_String, // tp_str PyObject_GenericGetAttr, // tp_getattro PyObject_GenericSetAttr, // tp_setattro &PyVTKObject_AsBuffer, // tp_as_buffer Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_GC|Py_TPFLAGS_BASETYPE, // tp_flags PyvtkLinearKernel_Doc, // tp_doc PyVTKObject_Traverse, // tp_traverse nullptr, // tp_clear nullptr, // tp_richcompare offsetof(PyVTKObject, vtk_weakreflist), // tp_weaklistoffset nullptr, // tp_iter nullptr, // tp_iternext nullptr, // tp_methods nullptr, // tp_members PyVTKObject_GetSet, // tp_getset nullptr, // tp_base nullptr, // tp_dict nullptr, // tp_descr_get nullptr, // tp_descr_set offsetof(PyVTKObject, vtk_dict), // tp_dictoffset nullptr, // tp_init nullptr, // tp_alloc PyVTKObject_New, // tp_new PyObject_GC_Del, // tp_free nullptr, // tp_is_gc nullptr, // tp_bases nullptr, // tp_mro nullptr, // tp_cache nullptr, // tp_subclasses nullptr, // tp_weaklist VTK_WRAP_PYTHON_SUPPRESS_UNINITIALIZED }; static vtkObjectBase *PyvtkLinearKernel_StaticNew() { return vtkLinearKernel::New(); } PyObject *PyvtkLinearKernel_ClassNew() { PyVTKClass_Add( &PyvtkLinearKernel_Type, PyvtkLinearKernel_Methods, "vtkLinearKernel", &PyvtkLinearKernel_StaticNew); PyTypeObject *pytype = &PyvtkLinearKernel_Type; if ((pytype->tp_flags & Py_TPFLAGS_READY) != 0) { return (PyObject *)pytype; } #if !defined(VTK_PY3K) && PY_VERSION_HEX >= 0x02060000 pytype->tp_flags |= Py_TPFLAGS_HAVE_NEWBUFFER; #endif pytype->tp_base = (PyTypeObject *)PyvtkGeneralizedKernel_ClassNew(); PyType_Ready(pytype); return (PyObject *)pytype; } void PyVTKAddFile_vtkLinearKernel( PyObject *dict) { PyObject *o; o = PyvtkLinearKernel_ClassNew(); if (o && PyDict_SetItemString(dict, "vtkLinearKernel", o) != 0) { Py_DECREF(o); } }