// python wrapper for vtkImageFFT // #define VTK_WRAPPING_CXX #define VTK_STREAMS_FWD_ONLY #include "vtkPythonArgs.h" #include "vtkPythonOverload.h" #include "vtkConfigure.h" #include #include #include "vtkVariant.h" #include "vtkImageFFT.h" extern "C" { VTK_ABI_EXPORT void PyVTKAddFile_vtkImageFFT(PyObject *); } extern "C" { VTK_ABI_EXPORT PyObject *PyvtkImageFFT_ClassNew(); } #ifndef DECLARED_PyvtkImageFourierFilter_ClassNew extern "C" { PyObject *PyvtkImageFourierFilter_ClassNew(); } #define DECLARED_PyvtkImageFourierFilter_ClassNew #endif static const char *PyvtkImageFFT_Doc = "vtkImageFFT - Fast Fourier Transform.\n\n" "Superclass: vtkImageFourierFilter\n\n" "vtkImageFFT implements a fast Fourier transform. The input can have\n" "real or complex data in any components and data types, but the output\n" "is always complex doubles with real values in component0, and\n" "imaginary values in component1. The filter is fastest for images\n" "that have power of two sizes. The filter uses a butterfly diagram\n" "for each prime factor of the dimension. This makes images with prime\n" "number dimensions (i.e. 17x17) much slower to compute. Multi\n" "dimensional (i.e volumes) FFT's are decomposed so that each axis\n" "executes serially.\n\n"; static PyObject * PyvtkImageFFT_IsTypeOf(PyObject *, PyObject *args) { vtkPythonArgs ap(args, "IsTypeOf"); char *temp0 = nullptr; PyObject *result = nullptr; if (ap.CheckArgCount(1) && ap.GetValue(temp0)) { int tempr = vtkImageFFT::IsTypeOf(temp0); if (!ap.ErrorOccurred()) { result = ap.BuildValue(tempr); } } return result; } static PyObject * PyvtkImageFFT_IsA(PyObject *self, PyObject *args) { vtkPythonArgs ap(self, args, "IsA"); vtkObjectBase *vp = ap.GetSelfPointer(self, args); vtkImageFFT *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->vtkImageFFT::IsA(temp0)); if (!ap.ErrorOccurred()) { result = ap.BuildValue(tempr); } } return result; } static PyObject * PyvtkImageFFT_SafeDownCast(PyObject *, PyObject *args) { vtkPythonArgs ap(args, "SafeDownCast"); vtkObjectBase *temp0 = nullptr; PyObject *result = nullptr; if (ap.CheckArgCount(1) && ap.GetVTKObject(temp0, "vtkObjectBase")) { vtkImageFFT *tempr = vtkImageFFT::SafeDownCast(temp0); if (!ap.ErrorOccurred()) { result = ap.BuildVTKObject(tempr); } } return result; } static PyObject * PyvtkImageFFT_NewInstance(PyObject *self, PyObject *args) { vtkPythonArgs ap(self, args, "NewInstance"); vtkObjectBase *vp = ap.GetSelfPointer(self, args); vtkImageFFT *op = static_cast(vp); PyObject *result = nullptr; if (op && ap.CheckArgCount(0)) { vtkImageFFT *tempr = (ap.IsBound() ? op->NewInstance() : op->vtkImageFFT::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 PyMethodDef PyvtkImageFFT_Methods[] = { {"IsTypeOf", PyvtkImageFFT_IsTypeOf, METH_VARARGS, "V.IsTypeOf(string) -> int\nC++: static vtkTypeBool IsTypeOf(const char *type)\n\nConstruct an instance of vtkImageDecomposeFilter filter with\ndefault dimensionality 3.\n"}, {"IsA", PyvtkImageFFT_IsA, METH_VARARGS, "V.IsA(string) -> int\nC++: vtkTypeBool IsA(const char *type) override;\n\nConstruct an instance of vtkImageDecomposeFilter filter with\ndefault dimensionality 3.\n"}, {"SafeDownCast", PyvtkImageFFT_SafeDownCast, METH_VARARGS, "V.SafeDownCast(vtkObjectBase) -> vtkImageFFT\nC++: static vtkImageFFT *SafeDownCast(vtkObjectBase *o)\n\nConstruct an instance of vtkImageDecomposeFilter filter with\ndefault dimensionality 3.\n"}, {"NewInstance", PyvtkImageFFT_NewInstance, METH_VARARGS, "V.NewInstance() -> vtkImageFFT\nC++: vtkImageFFT *NewInstance()\n\nConstruct an instance of vtkImageDecomposeFilter filter with\ndefault dimensionality 3.\n"}, {nullptr, nullptr, 0, nullptr} }; static PyTypeObject PyvtkImageFFT_Type = { PyVarObject_HEAD_INIT(&PyType_Type, 0) "vtkImagingFourierPython.vtkImageFFT", // 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 PyvtkImageFFT_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 *PyvtkImageFFT_StaticNew() { return vtkImageFFT::New(); } PyObject *PyvtkImageFFT_ClassNew() { PyVTKClass_Add( &PyvtkImageFFT_Type, PyvtkImageFFT_Methods, "vtkImageFFT", &PyvtkImageFFT_StaticNew); PyTypeObject *pytype = &PyvtkImageFFT_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 *)PyvtkImageFourierFilter_ClassNew(); PyType_Ready(pytype); return (PyObject *)pytype; } void PyVTKAddFile_vtkImageFFT( PyObject *dict) { PyObject *o; o = PyvtkImageFFT_ClassNew(); if (o && PyDict_SetItemString(dict, "vtkImageFFT", o) != 0) { Py_DECREF(o); } }