bb89c89e7f
The main issue of 'type-less' standard C allocations is that there is no check on allocated type possible. This is a serious source of annoyance (and crashes) when making some low-level structs non-trivial, as tracking down all usages of these structs in higher-level other structs and their allocation is... really painful. MEM_[cm]allocN<T> templates on the other hand do check that the given type is trivial, at build time (static assert), which makes such issue... trivial to catch. NOTE: New code should strive to use MEM_new (i.e. allocation and construction) as much as possible, even for trivial PoD types. Pull Request: https://projects.blender.org/blender/blender/pulls/135852
119 lines
2.7 KiB
C++
119 lines
2.7 KiB
C++
/* SPDX-FileCopyrightText: 2023 Blender Authors
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*
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* SPDX-License-Identifier: GPL-2.0-or-later */
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/** \file
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* \ingroup pymathutils
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*/
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#include <Python.h>
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#include "mathutils.hh"
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#include "mathutils_interpolate.hh"
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#include "BLI_math_geom.h"
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#ifndef MATH_STANDALONE /* define when building outside blender */
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# include "MEM_guardedalloc.h"
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#endif
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/*-------------------------DOC STRINGS ---------------------------*/
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PyDoc_STRVAR(
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/* Wrap. */
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M_Interpolate_doc,
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"The Blender interpolate module");
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/* ---------------------------------WEIGHT CALCULATION ----------------------- */
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#ifndef MATH_STANDALONE
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PyDoc_STRVAR(
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/* Wrap. */
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M_Interpolate_poly_3d_calc_doc,
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".. function:: poly_3d_calc(veclist, pt)\n"
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"\n"
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" Calculate barycentric weights for a point on a polygon.\n"
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"\n"
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" :arg veclist: Sequence of 3D positions.\n"
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" :type veclist: Sequence[Sequence[float]]\n"
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" :arg pt: 2D or 3D position."
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" :type pt: Sequence[float]"
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" :return: list of per-vector weights.\n"
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" :rtype: list[float]\n");
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static PyObject *M_Interpolate_poly_3d_calc(PyObject * /*self*/, PyObject *args)
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{
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float fp[3];
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float(*vecs)[3];
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Py_ssize_t len;
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PyObject *point, *veclist, *ret;
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int i;
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if (!PyArg_ParseTuple(args, "OO:poly_3d_calc", &veclist, &point)) {
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return nullptr;
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}
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if (mathutils_array_parse(
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fp, 2, 3 | MU_ARRAY_ZERO, point, "pt must be a 2-3 dimensional vector") == -1)
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{
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return nullptr;
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}
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len = mathutils_array_parse_alloc_v(((float **)&vecs), 3, veclist, __func__);
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if (len == -1) {
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return nullptr;
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}
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if (len) {
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float *weights = MEM_malloc_arrayN<float>(size_t(len), __func__);
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interp_weights_poly_v3(weights, vecs, len, fp);
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ret = PyList_New(len);
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for (i = 0; i < len; i++) {
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PyList_SET_ITEM(ret, i, PyFloat_FromDouble(weights[i]));
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}
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MEM_freeN(weights);
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PyMem_Free(vecs);
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}
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else {
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ret = PyList_New(0);
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}
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return ret;
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}
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#endif /* !MATH_STANDALONE */
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static PyMethodDef M_Interpolate_methods[] = {
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#ifndef MATH_STANDALONE
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{"poly_3d_calc",
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(PyCFunction)M_Interpolate_poly_3d_calc,
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METH_VARARGS,
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M_Interpolate_poly_3d_calc_doc},
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#endif
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{nullptr, nullptr, 0, nullptr},
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};
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static PyModuleDef M_Interpolate_module_def = {
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/*m_base*/ PyModuleDef_HEAD_INIT,
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/*m_name*/ "mathutils.interpolate",
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/*m_doc*/ M_Interpolate_doc,
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/*m_size*/ 0,
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/*m_methods*/ M_Interpolate_methods,
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/*m_slots*/ nullptr,
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/*m_traverse*/ nullptr,
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/*m_clear*/ nullptr,
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/*m_free*/ nullptr,
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};
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/*----------------------------MODULE INIT-------------------------*/
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PyMODINIT_FUNC PyInit_mathutils_interpolate()
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{
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PyObject *submodule = PyModule_Create(&M_Interpolate_module_def);
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return submodule;
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}
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