Add Chromium-only Blender WebEngine parity work
This commit is contained in:
52
blender-5.2.0/source/blender/python/mathutils/CMakeLists.txt
Normal file
52
blender-5.2.0/source/blender/python/mathutils/CMakeLists.txt
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@@ -0,0 +1,52 @@
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# 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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set(INC
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.
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)
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set(INC_SYS
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)
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set(SRC
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mathutils.cc
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mathutils_Color.cc
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mathutils_Euler.cc
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mathutils_Matrix.cc
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mathutils_Quaternion.cc
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mathutils_Vector.cc
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mathutils_bvhtree.cc
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mathutils_geometry.cc
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mathutils_interpolate.cc
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mathutils_kdtree.cc
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mathutils_noise.cc
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mathutils.hh
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mathutils_Color.hh
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mathutils_Euler.hh
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mathutils_Matrix.hh
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mathutils_Quaternion.hh
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mathutils_Vector.hh
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mathutils_bvhtree.hh
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mathutils_geometry.hh
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mathutils_interpolate.hh
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mathutils_kdtree.hh
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mathutils_noise.hh
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)
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set(LIB
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PRIVATE bf::blenkernel
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PRIVATE bf::blenlib
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PRIVATE bf::bmesh
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PRIVATE bf::depsgraph
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PRIVATE bf::dna
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PRIVATE bf::imbuf
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PRIVATE bf::intern::guardedalloc
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bf_python_ext
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PRIVATE bf::dependencies::optional::python
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)
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blender_add_lib(bf_python_mathutils "${SRC}" "${INC}" "${INC_SYS}" "${LIB}")
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900
blender-5.2.0/source/blender/python/mathutils/mathutils.cc
Normal file
900
blender-5.2.0/source/blender/python/mathutils/mathutils.cc
Normal file
@@ -0,0 +1,900 @@
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/* 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 "BLI_math_matrix.h"
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#include "BLI_math_rotation.h"
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#include "BLI_utildefines.h"
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#include "../generic/py_capi_utils.hh"
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#ifndef MATH_STANDALONE
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# include "BLI_dynstr.h"
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#endif
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namespace blender {
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PyDoc_STRVAR(
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/* Wrap. */
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M_Mathutils_doc,
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"This module provides access to math operations.\n"
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"\n"
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".. note::\n"
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"\n"
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" Classes, methods and attributes that accept vectors also accept other numeric sequences,\n"
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" such as tuples, lists.\n"
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||||
"\n"
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"The :mod:`mathutils` module provides the following classes:\n"
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"\n"
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"- :class:`Color`,\n"
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"- :class:`Euler`,\n"
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"- :class:`Matrix`,\n"
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"- :class:`Quaternion`,\n"
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"- :class:`Vector`,\n");
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static int mathutils_array_parse_fast(float *array,
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const int array_num,
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PyObject *value_fast,
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const char *error_prefix)
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||||
{
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||||
/* Could be allowed but hints at errors, since we would typically want to avoid
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* converting to a FAST sequence for an empty `array`. */
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||||
BLI_assert(array_num > 0);
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PyObject *item;
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PyObject **value_fast_items = PySequence_Fast_ITEMS(value_fast);
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for (int i = 0; i < array_num; i++) {
|
||||
if (((array[i] = PyFloat_AsDouble(item = value_fast_items[i])) == -1.0f) && PyErr_Occurred()) {
|
||||
PyErr_Format(PyExc_TypeError,
|
||||
"%.200s: sequence index %d expected a number, "
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||||
"found '%.200s' type, ",
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error_prefix,
|
||||
i,
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Py_TYPE(item)->tp_name);
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||||
return -1;
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||||
}
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||||
}
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return array_num;
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}
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Py_hash_t mathutils_array_hash(const float *array, size_t array_len)
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||||
{
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int i;
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Py_uhash_t x; /* Unsigned for defined overflow behavior. */
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Py_hash_t y;
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Py_uhash_t mult;
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Py_ssize_t len;
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mult = _PyHASH_MULTIPLIER;
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||||
len = array_len;
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x = 0x345678UL;
|
||||
i = 0;
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||||
while (--len >= 0) {
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||||
y = _Py_HashDouble(nullptr, double(array[i++]));
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||||
if (y == -1) {
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||||
return -1;
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||||
}
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||||
x = (x ^ y) * mult;
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||||
/* the cast might truncate len; that doesn't change hash stability */
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||||
mult += Py_hash_t(82520UL + len + len);
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||||
}
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x += 97531UL;
|
||||
if (x == Py_uhash_t(-1)) {
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||||
x = -2;
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}
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return x;
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||||
}
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int mathutils_array_parse(
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float *array, int array_num_min, int array_num_max, PyObject *value, const char *error_prefix)
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||||
{
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const uint flag = array_num_max;
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||||
int num;
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||||
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||||
array_num_max &= ~MU_ARRAY_FLAGS;
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#if 1 /* approx 6x speedup for mathutils types */
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if ((num = VectorObject_Check(value) ? (reinterpret_cast<VectorObject *>(value))->vec_num : 0) ||
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(num = EulerObject_Check(value) ? 3 : 0) || (num = QuaternionObject_Check(value) ? 4 : 0) ||
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(num = ColorObject_Check(value) ? 3 : 0))
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{
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if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
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return -1;
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||||
}
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||||
if (flag & MU_ARRAY_SPILL) {
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||||
CLAMP_MAX(num, array_num_max);
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}
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|
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if (num > array_num_max || num < array_num_min) {
|
||||
if (array_num_max == array_num_min) {
|
||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence length is %d, expected %d",
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||||
error_prefix,
|
||||
num,
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||||
array_num_max);
|
||||
}
|
||||
else {
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||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence length is %d, expected [%d - %d]",
|
||||
error_prefix,
|
||||
num,
|
||||
array_num_min,
|
||||
array_num_max);
|
||||
}
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||||
return -1;
|
||||
}
|
||||
|
||||
memcpy(array, (reinterpret_cast<const BaseMathObject *>(value))->data, num * sizeof(float));
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||||
}
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else
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#endif
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{
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PyObject *value_fast = nullptr;
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||||
|
||||
/* non list/tuple cases */
|
||||
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
|
||||
/* PySequence_Fast sets the error */
|
||||
return -1;
|
||||
}
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||||
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||||
num = PySequence_Fast_GET_SIZE(value_fast);
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||||
|
||||
if (flag & MU_ARRAY_SPILL) {
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||||
CLAMP_MAX(num, array_num_max);
|
||||
}
|
||||
|
||||
if (num > array_num_max || num < array_num_min) {
|
||||
if (array_num_max == array_num_min) {
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||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence length is %d, expected %d",
|
||||
error_prefix,
|
||||
num,
|
||||
array_num_max);
|
||||
}
|
||||
else {
|
||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence length is %d, expected [%d - %d]",
|
||||
error_prefix,
|
||||
num,
|
||||
array_num_min,
|
||||
array_num_max);
|
||||
}
|
||||
Py_DECREF(value_fast);
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||||
return -1;
|
||||
}
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||||
|
||||
if (num != 0) {
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num = mathutils_array_parse_fast(array, num, value_fast, error_prefix);
|
||||
}
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||||
Py_DECREF(value_fast);
|
||||
}
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||||
|
||||
if (num != -1) {
|
||||
if (flag & MU_ARRAY_ZERO) {
|
||||
const int array_num_left = array_num_max - num;
|
||||
if (array_num_left) {
|
||||
memset(&array[num], 0, sizeof(float) * array_num_left);
|
||||
}
|
||||
}
|
||||
}
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||||
|
||||
return num;
|
||||
}
|
||||
|
||||
int mathutils_array_parse_alloc(float **array,
|
||||
int array_num_min,
|
||||
PyObject *value,
|
||||
const char *error_prefix)
|
||||
{
|
||||
int num;
|
||||
|
||||
#if 1 /* approx 6x speedup for mathutils types */
|
||||
|
||||
if ((num = VectorObject_Check(value) ? (reinterpret_cast<VectorObject *>(value))->vec_num : 0) ||
|
||||
(num = EulerObject_Check(value) ? 3 : 0) || (num = QuaternionObject_Check(value) ? 4 : 0) ||
|
||||
(num = ColorObject_Check(value) ? 3 : 0))
|
||||
{
|
||||
if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
if (num < array_num_min) {
|
||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence size is %d, expected >= %d",
|
||||
error_prefix,
|
||||
num,
|
||||
array_num_min);
|
||||
return -1;
|
||||
}
|
||||
|
||||
*array = static_cast<float *>(PyMem_Malloc(num * sizeof(float)));
|
||||
memcpy(*array, (reinterpret_cast<const BaseMathObject *>(value))->data, num * sizeof(float));
|
||||
return num;
|
||||
}
|
||||
|
||||
#endif
|
||||
|
||||
PyObject *value_fast = nullptr;
|
||||
// *array = nullptr;
|
||||
int ret;
|
||||
|
||||
/* non list/tuple cases */
|
||||
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
|
||||
/* PySequence_Fast sets the error */
|
||||
return -1;
|
||||
}
|
||||
|
||||
num = PySequence_Fast_GET_SIZE(value_fast);
|
||||
|
||||
if (num < array_num_min) {
|
||||
Py_DECREF(value_fast);
|
||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence size is %d, expected >= %d",
|
||||
error_prefix,
|
||||
num,
|
||||
array_num_min);
|
||||
return -1;
|
||||
}
|
||||
|
||||
*array = static_cast<float *>(PyMem_Malloc(num * sizeof(float)));
|
||||
|
||||
ret = (num != 0) ? mathutils_array_parse_fast(*array, num, value_fast, error_prefix) : 0;
|
||||
Py_DECREF(value_fast);
|
||||
|
||||
if (ret == -1) {
|
||||
PyMem_Free(*array);
|
||||
}
|
||||
|
||||
return ret;
|
||||
}
|
||||
|
||||
int mathutils_array_parse_alloc_v(float **array,
|
||||
int array_dim,
|
||||
PyObject *value,
|
||||
const char *error_prefix)
|
||||
{
|
||||
PyObject *value_fast;
|
||||
const int array_dim_flag = array_dim;
|
||||
int i, num;
|
||||
|
||||
/* non list/tuple cases */
|
||||
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
|
||||
/* PySequence_Fast sets the error */
|
||||
return -1;
|
||||
}
|
||||
|
||||
num = PySequence_Fast_GET_SIZE(value_fast);
|
||||
|
||||
if (num != 0) {
|
||||
PyObject **value_fast_items = PySequence_Fast_ITEMS(value_fast);
|
||||
float *fp;
|
||||
|
||||
array_dim &= ~MU_ARRAY_FLAGS;
|
||||
|
||||
fp = *array = static_cast<float *>(PyMem_Malloc(num * array_dim * sizeof(float)));
|
||||
|
||||
for (i = 0; i < num; i++, fp += array_dim) {
|
||||
PyObject *item = value_fast_items[i];
|
||||
|
||||
if (mathutils_array_parse(fp, array_dim, array_dim_flag, item, error_prefix) == -1) {
|
||||
PyMem_Free(*array);
|
||||
*array = nullptr;
|
||||
num = -1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Py_DECREF(value_fast);
|
||||
return num;
|
||||
}
|
||||
|
||||
int mathutils_int_array_parse(int *array, int array_dim, PyObject *value, const char *error_prefix)
|
||||
{
|
||||
int size, i;
|
||||
PyObject *value_fast, **value_fast_items, *item;
|
||||
|
||||
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
|
||||
/* PySequence_Fast sets the error */
|
||||
return -1;
|
||||
}
|
||||
|
||||
if ((size = PySequence_Fast_GET_SIZE(value_fast)) != array_dim) {
|
||||
PyErr_Format(PyExc_ValueError,
|
||||
"%.200s: sequence size is %d, expected %d",
|
||||
error_prefix,
|
||||
size,
|
||||
array_dim);
|
||||
Py_DECREF(value_fast);
|
||||
return -1;
|
||||
}
|
||||
|
||||
value_fast_items = PySequence_Fast_ITEMS(value_fast);
|
||||
i = size;
|
||||
while (i > 0) {
|
||||
i--;
|
||||
if (((array[i] = PyC_Long_AsI32(item = value_fast_items[i])) == -1) && PyErr_Occurred()) {
|
||||
PyErr_Format(PyExc_TypeError, "%.200s: sequence index %d expected an int", error_prefix, i);
|
||||
size = -1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
Py_DECREF(value_fast);
|
||||
|
||||
return size;
|
||||
}
|
||||
|
||||
int mathutils_array_parse_alloc_vi(int **array,
|
||||
int array_dim,
|
||||
PyObject *value,
|
||||
const char *error_prefix)
|
||||
{
|
||||
PyObject *value_fast;
|
||||
int i, size;
|
||||
|
||||
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
|
||||
/* PySequence_Fast sets the error */
|
||||
return -1;
|
||||
}
|
||||
|
||||
size = PySequence_Fast_GET_SIZE(value_fast);
|
||||
|
||||
if (size != 0) {
|
||||
PyObject **value_fast_items = PySequence_Fast_ITEMS(value_fast);
|
||||
int *ip;
|
||||
|
||||
ip = *array = static_cast<int *>(PyMem_Malloc(size * array_dim * sizeof(int)));
|
||||
|
||||
for (i = 0; i < size; i++, ip += array_dim) {
|
||||
PyObject *item = value_fast_items[i];
|
||||
|
||||
if (mathutils_int_array_parse(ip, array_dim, item, error_prefix) == -1) {
|
||||
PyMem_Free(*array);
|
||||
*array = nullptr;
|
||||
size = -1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Py_DECREF(value_fast);
|
||||
return size;
|
||||
}
|
||||
|
||||
bool mathutils_array_parse_alloc_viseq(PyObject *value,
|
||||
const char *error_prefix,
|
||||
Array<Vector<int>> &r_data)
|
||||
{
|
||||
PyObject *value_fast;
|
||||
if (!(value_fast = PySequence_Fast(value, error_prefix))) {
|
||||
/* PySequence_Fast sets the error */
|
||||
return false;
|
||||
}
|
||||
|
||||
const int size = PySequence_Fast_GET_SIZE(value_fast);
|
||||
if (size != 0) {
|
||||
PyObject **value_fast_items = PySequence_Fast_ITEMS(value_fast);
|
||||
r_data.reinitialize(size);
|
||||
for (const int64_t i : r_data.index_range()) {
|
||||
PyObject *subseq = value_fast_items[i];
|
||||
const int subseq_len = int(PySequence_Size(subseq));
|
||||
if (subseq_len == -1) {
|
||||
PyErr_Format(
|
||||
PyExc_ValueError, "%.200s: sequence expected to have subsequences", error_prefix);
|
||||
Py_DECREF(value_fast);
|
||||
return false;
|
||||
}
|
||||
r_data[i].resize(subseq_len);
|
||||
MutableSpan<int> group = r_data[i];
|
||||
if (mathutils_int_array_parse(group.data(), group.size(), subseq, error_prefix) == -1) {
|
||||
Py_DECREF(value_fast);
|
||||
return false;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Py_DECREF(value_fast);
|
||||
return true;
|
||||
}
|
||||
|
||||
int mathutils_any_to_rotmat(float rmat[3][3], PyObject *value, const char *error_prefix)
|
||||
{
|
||||
if (EulerObject_Check(value)) {
|
||||
if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
eulO_to_mat3(rmat,
|
||||
(reinterpret_cast<const EulerObject *>(value))->eul,
|
||||
(reinterpret_cast<const EulerObject *>(value))->order);
|
||||
return 0;
|
||||
}
|
||||
if (QuaternionObject_Check(value)) {
|
||||
if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
|
||||
return -1;
|
||||
}
|
||||
|
||||
float tquat[4];
|
||||
normalize_qt_qt(tquat, (reinterpret_cast<const QuaternionObject *>(value))->quat);
|
||||
quat_to_mat3(rmat, tquat);
|
||||
return 0;
|
||||
}
|
||||
if (MatrixObject_Check(value)) {
|
||||
if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
|
||||
return -1;
|
||||
}
|
||||
if ((reinterpret_cast<MatrixObject *>(value))->row_num < 3 ||
|
||||
(reinterpret_cast<MatrixObject *>(value))->col_num < 3)
|
||||
{
|
||||
PyErr_Format(
|
||||
PyExc_ValueError, "%.200s: matrix must have minimum 3x3 dimensions", error_prefix);
|
||||
return -1;
|
||||
}
|
||||
|
||||
matrix_as_3x3(rmat, reinterpret_cast<MatrixObject *>(value));
|
||||
normalize_m3(rmat);
|
||||
return 0;
|
||||
}
|
||||
|
||||
PyErr_Format(PyExc_TypeError,
|
||||
"%.200s: expected a Euler, Quaternion or Matrix type, "
|
||||
"found %.200s",
|
||||
error_prefix,
|
||||
Py_TYPE(value)->tp_name);
|
||||
return -1;
|
||||
}
|
||||
|
||||
/* ----------------------------------MATRIX FUNCTIONS-------------------- */
|
||||
|
||||
/* Utility functions */
|
||||
|
||||
/* LomontRRDCompare4, Ever Faster Float Comparisons by Randy Dillon */
|
||||
/* XXX We may want to use 'safer' BLI's compare_ff_relative ultimately?
|
||||
* LomontRRDCompare4() is an optimized version of Dawson's AlmostEqual2sComplement()
|
||||
* (see [1] and [2]).
|
||||
* Dawson himself now claims this is not a 'safe' thing to do
|
||||
* (pushing ULP method beyond its limits),
|
||||
* an recommends using work from [3] instead, which is done in BLI func...
|
||||
*
|
||||
* [1] http://www.randydillon.org/Papers/2007/everfast.htm
|
||||
* [2] http://www.cygnus-software.com/papers/comparingfloats/comparingfloats.htm
|
||||
* [3] https://randomascii.wordpress.com/2012/02/25/comparing-floating-point-numbers-2012-edition/
|
||||
* instead.
|
||||
*/
|
||||
#define SIGNMASK(i) (-int((uint(i)) >> 31))
|
||||
|
||||
int EXPP_FloatsAreEqual(float af, float bf, int maxDiff)
|
||||
{
|
||||
/* solid, fast routine across all platforms
|
||||
* with constant time behavior */
|
||||
const int ai = *reinterpret_cast<const int *>(&af);
|
||||
const int bi = *reinterpret_cast<const int *>(&bf);
|
||||
const int test = SIGNMASK(ai ^ bi);
|
||||
int diff, v1, v2;
|
||||
|
||||
BLI_assert((0 == test) || (0xFFFFFFFF == test));
|
||||
diff = (ai ^ (test & 0x7fffffff)) - bi;
|
||||
v1 = maxDiff + diff;
|
||||
v2 = maxDiff - diff;
|
||||
return (v1 | v2) >= 0;
|
||||
}
|
||||
|
||||
/*---------------------- EXPP_VectorsAreEqual -------------------------
|
||||
* Builds on EXPP_FloatsAreEqual to test vectors */
|
||||
|
||||
int EXPP_VectorsAreEqual(const float *vecA, const float *vecB, int size, int floatSteps)
|
||||
{
|
||||
int x;
|
||||
for (x = 0; x < size; x++) {
|
||||
if (EXPP_FloatsAreEqual(vecA[x], vecB[x], floatSteps) == 0) {
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
return 1;
|
||||
}
|
||||
|
||||
#ifndef MATH_STANDALONE
|
||||
PyObject *mathutils_dynstr_to_py(DynStr *ds)
|
||||
{
|
||||
const int ds_len = BLI_dynstr_get_len(ds); /* space for \0 */
|
||||
char *ds_buf = static_cast<char *>(PyMem_Malloc(ds_len + 1));
|
||||
PyObject *ret;
|
||||
BLI_dynstr_get_cstring_ex(ds, ds_buf);
|
||||
BLI_dynstr_free(ds);
|
||||
ret = PyUnicode_FromStringAndSize(ds_buf, ds_len);
|
||||
PyMem_Free(ds_buf);
|
||||
return ret;
|
||||
}
|
||||
#endif
|
||||
|
||||
/* Mathutils Callbacks */
|
||||
|
||||
/* For mathutils internal use only,
|
||||
* eventually should re-alloc but to start with we only have a few users. */
|
||||
#define MATHUTILS_TOT_CB 17
|
||||
static Mathutils_Callback *mathutils_callbacks[MATHUTILS_TOT_CB] = {nullptr};
|
||||
|
||||
uchar Mathutils_RegisterCallback(Mathutils_Callback *cb)
|
||||
{
|
||||
uchar i;
|
||||
|
||||
/* find the first free slot */
|
||||
for (i = 0; mathutils_callbacks[i]; i++) {
|
||||
if (mathutils_callbacks[i] == cb) {
|
||||
/* already registered? */
|
||||
return i;
|
||||
}
|
||||
}
|
||||
|
||||
BLI_assert(i + 1 < MATHUTILS_TOT_CB);
|
||||
|
||||
mathutils_callbacks[i] = cb;
|
||||
return i;
|
||||
}
|
||||
|
||||
int _BaseMathObject_CheckCallback(BaseMathObject *self)
|
||||
{
|
||||
Mathutils_Callback *cb = mathutils_callbacks[self->cb_type];
|
||||
if (LIKELY(cb->check(self) != -1)) {
|
||||
return 0;
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
int _BaseMathObject_ReadCallback(BaseMathObject *self)
|
||||
{
|
||||
/* NOTE: use macros to check for nullptr. */
|
||||
|
||||
Mathutils_Callback *cb = mathutils_callbacks[self->cb_type];
|
||||
if (LIKELY(cb->get(self, self->cb_subtype) != -1)) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
if (!PyErr_Occurred()) {
|
||||
PyErr_Format(PyExc_RuntimeError, "%s read, user has become invalid", Py_TYPE(self)->tp_name);
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
int _BaseMathObject_WriteCallback(BaseMathObject *self)
|
||||
{
|
||||
Mathutils_Callback *cb = mathutils_callbacks[self->cb_type];
|
||||
if (LIKELY(cb->set(self, self->cb_subtype) != -1)) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
if (!PyErr_Occurred()) {
|
||||
PyErr_Format(PyExc_RuntimeError, "%s write, user has become invalid", Py_TYPE(self)->tp_name);
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
int _BaseMathObject_ReadIndexCallback(BaseMathObject *self, int index)
|
||||
{
|
||||
Mathutils_Callback *cb = mathutils_callbacks[self->cb_type];
|
||||
if (LIKELY(cb->get_index(self, self->cb_subtype, index) != -1)) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
if (!PyErr_Occurred()) {
|
||||
PyErr_Format(
|
||||
PyExc_RuntimeError, "%s read index, user has become invalid", Py_TYPE(self)->tp_name);
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
int _BaseMathObject_WriteIndexCallback(BaseMathObject *self, int index)
|
||||
{
|
||||
Mathutils_Callback *cb = mathutils_callbacks[self->cb_type];
|
||||
if (LIKELY(cb->set_index(self, self->cb_subtype, index) != -1)) {
|
||||
return 0;
|
||||
}
|
||||
|
||||
if (!PyErr_Occurred()) {
|
||||
PyErr_Format(
|
||||
PyExc_RuntimeError, "%s write index, user has become invalid", Py_TYPE(self)->tp_name);
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
void _BaseMathObject_RaiseFrozenExc(const BaseMathObject *self)
|
||||
{
|
||||
PyErr_Format(PyExc_TypeError, "%s is frozen (immutable)", Py_TYPE(self)->tp_name);
|
||||
}
|
||||
|
||||
void _BaseMathObject_RaiseNotFrozenExc(const BaseMathObject *self)
|
||||
{
|
||||
PyErr_Format(
|
||||
PyExc_TypeError, "%s is not frozen (mutable), call freeze first", Py_TYPE(self)->tp_name);
|
||||
}
|
||||
|
||||
int _BaseMathObject_ResizeOkOrRaiseExc(BaseMathObject *self, const char *error_prefix)
|
||||
{
|
||||
if (UNLIKELY(self->flag & BASE_MATH_FLAG_IS_FROZEN)) {
|
||||
PyErr_Format(PyExc_ValueError, "%s: cannot resize frozen data", error_prefix);
|
||||
return -1;
|
||||
}
|
||||
if (UNLIKELY(self->flag & BASE_MATH_FLAG_IS_WRAP)) {
|
||||
PyErr_Format(PyExc_ValueError, "%s: cannot resize wrapped data", error_prefix);
|
||||
return -1;
|
||||
}
|
||||
if (UNLIKELY(self->flag & BASE_MATH_FLAG_HAS_BUFFER_VIEW)) {
|
||||
PyErr_Format(PyExc_BufferError,
|
||||
"%s: cannot resize data while exported to buffer protocol",
|
||||
error_prefix);
|
||||
return -1;
|
||||
}
|
||||
if (UNLIKELY(self->cb_user)) {
|
||||
PyErr_Format(PyExc_ValueError, "%s: cannot resize owned data", error_prefix);
|
||||
return -1;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
int _BaseMathObject_RaiseBufferViewExc(BaseMathObject *self, Py_buffer *view, int flags)
|
||||
{
|
||||
if (UNLIKELY(view == nullptr)) {
|
||||
PyErr_SetString(PyExc_BufferError, "null view in get-buffer is obsolete");
|
||||
return -1;
|
||||
}
|
||||
if (UNLIKELY(self->flag & BASE_MATH_FLAG_HAS_BUFFER_VIEW)) {
|
||||
PyErr_SetString(PyExc_BufferError,
|
||||
"Data is already exported via buffer protocol, "
|
||||
"multiple simultaneous exports are not allowed.");
|
||||
return -1;
|
||||
}
|
||||
if (flags & PyBUF_WRITABLE) {
|
||||
if (UNLIKELY(BaseMath_WriteCallback(self) == -1)) {
|
||||
return -1;
|
||||
}
|
||||
if (UNLIKELY(self->flag & BASE_MATH_FLAG_IS_FROZEN)) {
|
||||
PyErr_SetString(PyExc_BufferError, "Data is frozen, cannot get a writable buffer");
|
||||
return -1;
|
||||
}
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
|
||||
/* #BaseMathObject generic functions for all mathutils types. */
|
||||
|
||||
char BaseMathObject_owner_doc[] =
|
||||
"The item this is wrapping or None (read-only).\n"
|
||||
"\n"
|
||||
":type: Any";
|
||||
PyObject *BaseMathObject_owner_get(BaseMathObject *self, void * /*closure*/)
|
||||
{
|
||||
PyObject *ret = self->cb_user ? self->cb_user : Py_None;
|
||||
return Py_NewRef(ret);
|
||||
}
|
||||
|
||||
char BaseMathObject_is_wrapped_doc[] =
|
||||
"True when this object wraps external data (read-only).\n\n:type: bool";
|
||||
PyObject *BaseMathObject_is_wrapped_get(BaseMathObject *self, void * /*closure*/)
|
||||
{
|
||||
return PyBool_FromLong((self->flag & BASE_MATH_FLAG_IS_WRAP) != 0);
|
||||
}
|
||||
|
||||
char BaseMathObject_is_frozen_doc[] =
|
||||
"True when this object has been frozen (read-only).\n\n:type: bool";
|
||||
PyObject *BaseMathObject_is_frozen_get(BaseMathObject *self, void * /*closure*/)
|
||||
{
|
||||
return PyBool_FromLong((self->flag & BASE_MATH_FLAG_IS_FROZEN) != 0);
|
||||
}
|
||||
|
||||
char BaseMathObject_is_valid_doc[] = "True when the owner of this data is valid.\n\n:type: bool";
|
||||
PyObject *BaseMathObject_is_valid_get(BaseMathObject *self, void * /*closure*/)
|
||||
{
|
||||
return PyBool_FromLong(BaseMath_CheckCallback(self) == 0);
|
||||
}
|
||||
|
||||
char BaseMathObject_freeze_doc[] =
|
||||
".. method:: freeze()\n"
|
||||
"\n"
|
||||
" Make this object immutable.\n"
|
||||
"\n"
|
||||
" After this the object can be hashed, used in dictionaries & sets.\n"
|
||||
"\n"
|
||||
" :return: An instance of this object.\n"
|
||||
" :rtype: Self\n";
|
||||
PyObject *BaseMathObject_freeze(BaseMathObject *self)
|
||||
{
|
||||
if ((self->flag & BASE_MATH_FLAG_IS_WRAP) || (self->cb_user != nullptr)) {
|
||||
PyErr_SetString(PyExc_TypeError, "Cannot freeze wrapped/owned data");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (self->flag & BASE_MATH_FLAG_HAS_BUFFER_VIEW) {
|
||||
PyErr_SetString(PyExc_BufferError, "Cannot freeze data while exported to buffer protocol");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
self->flag |= BASE_MATH_FLAG_IS_FROZEN;
|
||||
|
||||
return Py_NewRef(self);
|
||||
}
|
||||
|
||||
int BaseMathObject_traverse(BaseMathObject *self, visitproc visit, void *arg)
|
||||
{
|
||||
Py_VISIT(self->cb_user);
|
||||
return 0;
|
||||
}
|
||||
|
||||
int BaseMathObject_clear(BaseMathObject *self)
|
||||
{
|
||||
Py_CLEAR(self->cb_user);
|
||||
return 0;
|
||||
}
|
||||
|
||||
/** Only to validate assumptions when debugging. */
|
||||
#ifndef NDEBUG
|
||||
static bool BaseMathObject_is_tracked(BaseMathObject *self)
|
||||
{
|
||||
PyObject *cb_user = self->cb_user;
|
||||
self->cb_user = reinterpret_cast<PyObject *>(uintptr_t(-1));
|
||||
bool is_tracked = PyObject_GC_IsTracked(reinterpret_cast<PyObject *>(self));
|
||||
self->cb_user = cb_user;
|
||||
return is_tracked;
|
||||
}
|
||||
#endif /* !NDEBUG */
|
||||
|
||||
void BaseMathObject_dealloc(BaseMathObject *self)
|
||||
{
|
||||
/* only free non wrapped */
|
||||
if ((self->flag & BASE_MATH_FLAG_IS_WRAP) == 0) {
|
||||
PyMem_Free(self->data);
|
||||
}
|
||||
|
||||
if (self->cb_user) {
|
||||
BLI_assert(BaseMathObject_is_tracked(self) == true);
|
||||
PyObject_GC_UnTrack(self);
|
||||
BaseMathObject_clear(self);
|
||||
}
|
||||
else if (!BaseMathObject_CheckExact(self)) {
|
||||
/* Subclassed types get an extra track (in Pythons internal `subtype_dealloc` function). */
|
||||
BLI_assert(BaseMathObject_is_tracked(self) == true);
|
||||
PyObject_GC_UnTrack(self);
|
||||
BLI_assert(BaseMathObject_is_tracked(self) == false);
|
||||
}
|
||||
|
||||
Py_TYPE(self)->tp_free(self); // PyObject_DEL(self); /* breaks sub-types. */
|
||||
}
|
||||
|
||||
int BaseMathObject_is_gc(BaseMathObject *self)
|
||||
{
|
||||
return self->cb_user != nullptr;
|
||||
}
|
||||
|
||||
PyObject *_BaseMathObject_new_impl(PyTypeObject *root_type, PyTypeObject *base_type)
|
||||
{
|
||||
PyObject *obj;
|
||||
if (ELEM(base_type, nullptr, root_type)) {
|
||||
obj = _PyObject_GC_New(root_type);
|
||||
if (obj) {
|
||||
BLI_assert(BaseMathObject_is_tracked((BaseMathObject *)obj) == false);
|
||||
}
|
||||
}
|
||||
else {
|
||||
/* Calls Generic allocation function which always tracks
|
||||
* (because `root_type` is flagged for GC). */
|
||||
obj = base_type->tp_alloc(base_type, 0);
|
||||
if (obj) {
|
||||
BLI_assert(BaseMathObject_is_tracked((BaseMathObject *)obj) == true);
|
||||
PyObject_GC_UnTrack(obj);
|
||||
BLI_assert(BaseMathObject_is_tracked((BaseMathObject *)obj) == false);
|
||||
}
|
||||
}
|
||||
|
||||
return obj;
|
||||
}
|
||||
|
||||
/*----------------------------MODULE INIT-------------------------*/
|
||||
static PyMethodDef M_Mathutils_methods[] = {
|
||||
{nullptr, nullptr, 0, nullptr},
|
||||
};
|
||||
|
||||
static PyModuleDef M_Mathutils_module_def = {
|
||||
/*m_base*/ PyModuleDef_HEAD_INIT,
|
||||
/*m_name*/ "mathutils",
|
||||
/*m_doc*/ M_Mathutils_doc,
|
||||
/*m_size*/ 0,
|
||||
/*m_methods*/ M_Mathutils_methods,
|
||||
/*m_slots*/ nullptr,
|
||||
/*m_traverse*/ nullptr,
|
||||
/*m_clear*/ nullptr,
|
||||
/*m_free*/ nullptr,
|
||||
};
|
||||
|
||||
} // namespace blender
|
||||
|
||||
/* submodules only */
|
||||
#include "mathutils_geometry.hh"
|
||||
#include "mathutils_interpolate.hh"
|
||||
#ifndef MATH_STANDALONE
|
||||
# include "mathutils_bvhtree.hh"
|
||||
# include "mathutils_kdtree.hh"
|
||||
# include "mathutils_noise.hh"
|
||||
#endif
|
||||
|
||||
namespace blender {
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils()
|
||||
{
|
||||
PyObject *mod;
|
||||
PyObject *submodule;
|
||||
PyObject *sys_modules = PyImport_GetModuleDict();
|
||||
|
||||
if (PyType_Ready(&vector_Type) < 0) {
|
||||
return nullptr;
|
||||
}
|
||||
if (PyType_Ready(&matrix_Type) < 0) {
|
||||
return nullptr;
|
||||
}
|
||||
if (PyType_Ready(&matrix_access_Type) < 0) {
|
||||
return nullptr;
|
||||
}
|
||||
if (PyType_Ready(&euler_Type) < 0) {
|
||||
return nullptr;
|
||||
}
|
||||
if (PyType_Ready(&quaternion_Type) < 0) {
|
||||
return nullptr;
|
||||
}
|
||||
if (PyType_Ready(&color_Type) < 0) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
mod = PyModule_Create(&M_Mathutils_module_def);
|
||||
|
||||
/* each type has its own new() function */
|
||||
PyModule_AddType(mod, &vector_Type);
|
||||
PyModule_AddType(mod, &matrix_Type);
|
||||
PyModule_AddType(mod, &matrix_access_Type);
|
||||
PyModule_AddType(mod, &euler_Type);
|
||||
PyModule_AddType(mod, &quaternion_Type);
|
||||
PyModule_AddType(mod, &color_Type);
|
||||
|
||||
/* submodule */
|
||||
PyModule_AddObject(mod, "geometry", (submodule = PyInit_mathutils_geometry()));
|
||||
/* XXX, python doesn't do imports with this usefully yet
|
||||
* 'from mathutils.geometry import PolyFill'
|
||||
* ...fails without this. */
|
||||
PyC_Module_AddToSysModules(sys_modules, submodule);
|
||||
|
||||
PyModule_AddObject(mod, "interpolate", (submodule = PyInit_mathutils_interpolate()));
|
||||
/* XXX, python doesn't do imports with this usefully yet
|
||||
* 'from mathutils.geometry import PolyFill'
|
||||
* ...fails without this. */
|
||||
PyC_Module_AddToSysModules(sys_modules, submodule);
|
||||
|
||||
#ifndef MATH_STANDALONE
|
||||
/* Noise submodule */
|
||||
PyModule_AddObject(mod, "noise", (submodule = PyInit_mathutils_noise()));
|
||||
PyC_Module_AddToSysModules(sys_modules, submodule);
|
||||
|
||||
/* BVHTree submodule */
|
||||
PyModule_AddObject(mod, "bvhtree", (submodule = PyInit_mathutils_bvhtree()));
|
||||
PyC_Module_AddToSysModules(sys_modules, submodule);
|
||||
|
||||
/* KDTree<float3> submodule */
|
||||
PyModule_AddObject(mod, "kdtree", (submodule = PyInit_mathutils_kdtree()));
|
||||
PyC_Module_AddToSysModules(sys_modules, submodule);
|
||||
#endif
|
||||
|
||||
mathutils_matrix_row_cb_index = Mathutils_RegisterCallback(&mathutils_matrix_row_cb);
|
||||
mathutils_matrix_col_cb_index = Mathutils_RegisterCallback(&mathutils_matrix_col_cb);
|
||||
mathutils_matrix_translation_cb_index = Mathutils_RegisterCallback(
|
||||
&mathutils_matrix_translation_cb);
|
||||
|
||||
return mod;
|
||||
}
|
||||
|
||||
} // namespace blender
|
||||
290
blender-5.2.0/source/blender/python/mathutils/mathutils.hh
Normal file
290
blender-5.2.0/source/blender/python/mathutils/mathutils.hh
Normal file
@@ -0,0 +1,290 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
#pragma once
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
/* Can cast different mathutils types to this, use for generic functions. */
|
||||
|
||||
#include "BLI_array.hh"
|
||||
#include "BLI_vector.hh"
|
||||
|
||||
namespace blender {
|
||||
|
||||
struct DynStr;
|
||||
|
||||
extern char BaseMathObject_is_wrapped_doc[];
|
||||
extern char BaseMathObject_is_frozen_doc[];
|
||||
extern char BaseMathObject_is_valid_doc[];
|
||||
extern char BaseMathObject_owner_doc[];
|
||||
|
||||
[[nodiscard]] PyObject *_BaseMathObject_new_impl(PyTypeObject *root_type, PyTypeObject *base_type);
|
||||
|
||||
#define BASE_MATH_NEW(struct_name, root_type, base_type) \
|
||||
((struct_name *)_BaseMathObject_new_impl(&root_type, base_type))
|
||||
|
||||
/** #BaseMathObject.flag */
|
||||
enum {
|
||||
/**
|
||||
* Do not own the memory used in this vector,
|
||||
* \note This is error prone if the memory may be freed while this vector is in use.
|
||||
* Prefer using callbacks where possible, see: #Mathutils_RegisterCallback
|
||||
*/
|
||||
BASE_MATH_FLAG_IS_WRAP = (1 << 0),
|
||||
/**
|
||||
* Prevent changes to the vector so it can be used as a set or dictionary key for example.
|
||||
* (typical use cases for tuple).
|
||||
*/
|
||||
BASE_MATH_FLAG_IS_FROZEN = (1 << 1),
|
||||
/**
|
||||
* When set, prevents calling freeze() and resize() while using the buffer protocol.
|
||||
*
|
||||
* \note `memoryview` & `np.frombuffer` pass the `PyBUF_FORMAT | PyBUF_INDIRECT` flags,
|
||||
* and the object can be mutated, so `PyBUF_WRITABLE` can't be handled.
|
||||
* That's why it's always necessary to check for write access.
|
||||
*/
|
||||
BASE_MATH_FLAG_HAS_BUFFER_VIEW = (1 << 2),
|
||||
};
|
||||
#define BASE_MATH_FLAG_DEFAULT 0
|
||||
|
||||
#define BASE_MATH_MEMBERS(_data) \
|
||||
/** Array of data (alias), wrapped status depends on wrapped status. */ \
|
||||
PyObject_HEAD \
|
||||
float *_data; \
|
||||
/** If this vector references another object, otherwise NULL, *Note* this owns its reference */ \
|
||||
PyObject *cb_user; \
|
||||
/** Which user functions do we adhere to, RNA, etc */ \
|
||||
unsigned char cb_type; \
|
||||
/** Sub-type: location, rotation... \
|
||||
* to avoid defining many new functions for every attribute of the same type */ \
|
||||
unsigned char cb_subtype; \
|
||||
/** Wrapped data type. */ \
|
||||
unsigned char flag
|
||||
|
||||
struct BaseMathObject {
|
||||
BASE_MATH_MEMBERS(data);
|
||||
};
|
||||
|
||||
} // namespace blender
|
||||
|
||||
/* types */
|
||||
#include "mathutils_Color.hh" // IWYU pragma: export
|
||||
#include "mathutils_Euler.hh" // IWYU pragma: export
|
||||
#include "mathutils_Matrix.hh" // IWYU pragma: export
|
||||
#include "mathutils_Quaternion.hh" // IWYU pragma: export
|
||||
#include "mathutils_Vector.hh" // IWYU pragma: export
|
||||
|
||||
namespace blender {
|
||||
|
||||
/* avoid checking all types */
|
||||
#define BaseMathObject_CheckExact(v) (Py_TYPE(v)->tp_dealloc == (destructor)BaseMathObject_dealloc)
|
||||
|
||||
[[nodiscard]] PyObject *BaseMathObject_owner_get(BaseMathObject *self, void *);
|
||||
[[nodiscard]] PyObject *BaseMathObject_is_wrapped_get(BaseMathObject *self, void *);
|
||||
[[nodiscard]] PyObject *BaseMathObject_is_frozen_get(BaseMathObject *self, void *);
|
||||
[[nodiscard]] PyObject *BaseMathObject_is_valid_get(BaseMathObject *self, void *);
|
||||
|
||||
extern char BaseMathObject_freeze_doc[];
|
||||
[[nodiscard]] PyObject *BaseMathObject_freeze(BaseMathObject *self);
|
||||
|
||||
int BaseMathObject_traverse(BaseMathObject *self, visitproc visit, void *arg);
|
||||
int BaseMathObject_clear(BaseMathObject *self);
|
||||
void BaseMathObject_dealloc(BaseMathObject *self);
|
||||
int BaseMathObject_is_gc(BaseMathObject *self);
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils();
|
||||
|
||||
[[nodiscard]] int EXPP_FloatsAreEqual(float af, float bf, int maxDiff);
|
||||
[[nodiscard]] int EXPP_VectorsAreEqual(const float *vecA,
|
||||
const float *vecB,
|
||||
int size,
|
||||
int floatSteps);
|
||||
|
||||
/** Checks the user is still valid. */
|
||||
using BaseMathCheckFunc = int (*)(BaseMathObject *);
|
||||
/** Gets the vector from the user. */
|
||||
using BaseMathGetFunc = int (*)(BaseMathObject *, int);
|
||||
/** Sets the users vector values once its modified. */
|
||||
using BaseMathSetFunc = int (*)(BaseMathObject *, int);
|
||||
/** Same as #BaseMathGetFunc but only for an index. */
|
||||
using BaseMathGetIndexFunc = int (*)(BaseMathObject *, int, int);
|
||||
/** Same as #BaseMathSetFunc but only for an index. */
|
||||
using BaseMathSetIndexFunc = int (*)(BaseMathObject *, int, int);
|
||||
|
||||
struct Mathutils_Callback {
|
||||
BaseMathCheckFunc check;
|
||||
BaseMathGetFunc get;
|
||||
BaseMathSetFunc set;
|
||||
BaseMathGetIndexFunc get_index;
|
||||
BaseMathSetIndexFunc set_index;
|
||||
};
|
||||
|
||||
[[nodiscard]] unsigned char Mathutils_RegisterCallback(Mathutils_Callback *cb);
|
||||
|
||||
[[nodiscard]] int _BaseMathObject_CheckCallback(BaseMathObject *self);
|
||||
[[nodiscard]] int _BaseMathObject_ReadCallback(BaseMathObject *self);
|
||||
[[nodiscard]] int _BaseMathObject_WriteCallback(BaseMathObject *self);
|
||||
[[nodiscard]] int _BaseMathObject_ReadIndexCallback(BaseMathObject *self, int index);
|
||||
[[nodiscard]] int _BaseMathObject_WriteIndexCallback(BaseMathObject *self, int index);
|
||||
/** To implement #BaseMath_Prepare_ForResize. */
|
||||
[[nodiscard]] int _BaseMathObject_ResizeOkOrRaiseExc(BaseMathObject *self,
|
||||
const char *error_prefix);
|
||||
[[nodiscard]] int _BaseMathObject_RaiseBufferViewExc(BaseMathObject *self,
|
||||
Py_buffer *view,
|
||||
int flags);
|
||||
|
||||
void _BaseMathObject_RaiseFrozenExc(const BaseMathObject *self);
|
||||
void _BaseMathObject_RaiseNotFrozenExc(const BaseMathObject *self);
|
||||
|
||||
/* since this is called so often avoid where possible */
|
||||
#define BaseMath_CheckCallback(_self) \
|
||||
(((_self)->cb_user ? _BaseMathObject_CheckCallback((BaseMathObject *)_self) : 0))
|
||||
#define BaseMath_ReadCallback(_self) \
|
||||
(((_self)->cb_user ? _BaseMathObject_ReadCallback((BaseMathObject *)_self) : 0))
|
||||
#define BaseMath_WriteCallback(_self) \
|
||||
(((_self)->cb_user ? _BaseMathObject_WriteCallback((BaseMathObject *)_self) : 0))
|
||||
#define BaseMath_ReadIndexCallback(_self, _index) \
|
||||
(((_self)->cb_user ? _BaseMathObject_ReadIndexCallback((BaseMathObject *)_self, _index) : 0))
|
||||
#define BaseMath_WriteIndexCallback(_self, _index) \
|
||||
(((_self)->cb_user ? _BaseMathObject_WriteIndexCallback((BaseMathObject *)_self, _index) : 0))
|
||||
|
||||
/* support BASE_MATH_FLAG_IS_FROZEN */
|
||||
#define BaseMath_ReadCallback_ForWrite(_self) \
|
||||
(UNLIKELY((_self)->flag & BASE_MATH_FLAG_IS_FROZEN) ? \
|
||||
(_BaseMathObject_RaiseFrozenExc((BaseMathObject *)_self), -1) : \
|
||||
(BaseMath_ReadCallback(_self)))
|
||||
|
||||
#define BaseMath_ReadIndexCallback_ForWrite(_self, _index) \
|
||||
(UNLIKELY((_self)->flag & BASE_MATH_FLAG_IS_FROZEN) ? \
|
||||
(_BaseMathObject_RaiseFrozenExc((BaseMathObject *)_self), -1) : \
|
||||
(BaseMath_ReadIndexCallback(_self, _index)))
|
||||
|
||||
#define BaseMath_Prepare_ForWrite(_self) \
|
||||
(UNLIKELY((_self)->flag & BASE_MATH_FLAG_IS_FROZEN) ? \
|
||||
(_BaseMathObject_RaiseFrozenExc((BaseMathObject *)_self), -1) : \
|
||||
0)
|
||||
|
||||
#define BaseMathObject_Prepare_ForHash(_self) \
|
||||
(UNLIKELY(((_self)->flag & BASE_MATH_FLAG_IS_FROZEN) == 0) ? \
|
||||
(_BaseMathObject_RaiseNotFrozenExc((BaseMathObject *)_self), -1) : \
|
||||
0)
|
||||
/**
|
||||
* Helper to de-duplicate checks for in-place resizing.
|
||||
* \return -1 and set an exception if the vector `_self` cannot be resized.
|
||||
*/
|
||||
#define BaseMathObject_Prepare_ForResize(_self, error_prefix) \
|
||||
_BaseMathObject_ResizeOkOrRaiseExc((BaseMathObject *)_self, error_prefix)
|
||||
|
||||
/**
|
||||
* Ensure #BASE_MATH_FLAG_HAS_BUFFER_VIEW is supported.
|
||||
* \param _view: The `view` argument forwarded from #PyBufferProcs::bf_getbuffer.
|
||||
* \param _flags: The `flags` argument forwarded from #PyBufferProcs::bf_getbuffer.
|
||||
* \return -1 and set an exception if the vector `_self` does not support buffer access.
|
||||
*/
|
||||
#define BaseMath_Prepare_ForBufferAccess(_self, _view, _flags) \
|
||||
_BaseMathObject_RaiseBufferViewExc((BaseMathObject *)_self, _view, _flags)
|
||||
|
||||
/* utility func */
|
||||
/**
|
||||
* Helper function.
|
||||
* \return length of `value`, -1 on error.
|
||||
*/
|
||||
[[nodiscard]] int mathutils_array_parse(
|
||||
float *array, int array_num_min, int array_num_max, PyObject *value, const char *error_prefix);
|
||||
/**
|
||||
* \return -1 is returned on error and no allocation is made.
|
||||
*/
|
||||
[[nodiscard]] int mathutils_array_parse_alloc(float **array,
|
||||
int array_num_min,
|
||||
PyObject *value,
|
||||
const char *error_prefix);
|
||||
/**
|
||||
* Parse an array of vectors.
|
||||
*/
|
||||
[[nodiscard]] int mathutils_array_parse_alloc_v(float **array,
|
||||
int array_dim,
|
||||
PyObject *value,
|
||||
const char *error_prefix);
|
||||
/**
|
||||
* Parse an sequence array_dim integers into array.
|
||||
*/
|
||||
[[nodiscard]] int mathutils_int_array_parse(int *array,
|
||||
int array_dim,
|
||||
PyObject *value,
|
||||
const char *error_prefix);
|
||||
/**
|
||||
* Parse sequence of array_dim sequences of integers and return allocated result.
|
||||
*/
|
||||
[[nodiscard]] int mathutils_array_parse_alloc_vi(int **array,
|
||||
int array_dim,
|
||||
PyObject *value,
|
||||
const char *error_prefix);
|
||||
/**
|
||||
* Parse sequence of variable-length sequences of integers and fill r_data with their values.
|
||||
*/
|
||||
[[nodiscard]] bool mathutils_array_parse_alloc_viseq(PyObject *value,
|
||||
const char *error_prefix,
|
||||
Array<Vector<int>> &r_data);
|
||||
[[nodiscard]] int mathutils_any_to_rotmat(float rmat[3][3],
|
||||
PyObject *value,
|
||||
const char *error_prefix);
|
||||
|
||||
/**
|
||||
* Returns true when a slice does *not* address every element of an `array_num`.
|
||||
*/
|
||||
[[nodiscard]] inline bool mathutils_slice_is_subset(Py_ssize_t start,
|
||||
Py_ssize_t step,
|
||||
Py_ssize_t slice_length,
|
||||
Py_ssize_t array_num)
|
||||
{
|
||||
return !((slice_length == array_num) &&
|
||||
/* All forward `[:]`. */
|
||||
((start == 0 && step == 1) ||
|
||||
/* All reverse `[::-1]`. */
|
||||
(start == array_num - 1 && step == -1)));
|
||||
}
|
||||
|
||||
/**
|
||||
* helper function that returns a Python `__hash__`.
|
||||
*
|
||||
* \note consistent with the equivalent tuple of floats (CPython's `tuplehash`)
|
||||
*/
|
||||
[[nodiscard]] Py_hash_t mathutils_array_hash(const float *array, size_t array_len);
|
||||
|
||||
/** Zero remaining unused elements of the array. */
|
||||
#define MU_ARRAY_ZERO (1u << 30)
|
||||
/**
|
||||
* Ignore larger py sequences than requested (just use first elements),
|
||||
* handy when using 3d vectors as 2d.
|
||||
*/
|
||||
#define MU_ARRAY_SPILL (1u << 31)
|
||||
|
||||
#define MU_ARRAY_FLAGS (MU_ARRAY_ZERO | MU_ARRAY_SPILL)
|
||||
|
||||
/**
|
||||
* Column vector multiplication (Matrix * Vector).
|
||||
* <pre>
|
||||
* [1][4][7] [a]
|
||||
* [2][5][8] * [b]
|
||||
* [3][6][9] [c]
|
||||
* </pre>
|
||||
*
|
||||
* \note Vector/Matrix multiplication is not commutative.
|
||||
* \note Assume read callbacks have been done first.
|
||||
*/
|
||||
[[nodiscard]] int column_vector_multiplication(float r_vec[4],
|
||||
VectorObject *vec,
|
||||
MatrixObject *mat);
|
||||
|
||||
#ifndef MATH_STANDALONE
|
||||
/* dynstr as python string utility functions, frees 'ds'! */
|
||||
[[nodiscard]] PyObject *mathutils_dynstr_to_py(struct DynStr *ds);
|
||||
#endif
|
||||
|
||||
} // namespace blender
|
||||
1488
blender-5.2.0/source/blender/python/mathutils/mathutils_Color.cc
Normal file
1488
blender-5.2.0/source/blender/python/mathutils/mathutils_Color.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,39 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "mathutils.hh"
|
||||
|
||||
namespace blender {
|
||||
|
||||
extern PyTypeObject color_Type;
|
||||
#define ColorObject_Check(v) PyObject_TypeCheck((v), &color_Type)
|
||||
#define ColorObject_CheckExact(v) (Py_TYPE(v) == &color_Type)
|
||||
|
||||
struct ColorObject {
|
||||
BASE_MATH_MEMBERS(col);
|
||||
};
|
||||
|
||||
/* struct data contains a pointer to the actual data that the
|
||||
* object uses. It can use either PyMem allocated data (which will
|
||||
* be stored in py_data) or be a wrapper for data allocated through
|
||||
* Blender (stored in blend_data). This is an either/or struct not both. */
|
||||
|
||||
/* Prototypes. */
|
||||
|
||||
[[nodiscard]] PyObject *Color_CreatePyObject(const float col[3], PyTypeObject *base_type);
|
||||
[[nodiscard]] PyObject *Color_CreatePyObject_wrap(float col[3], PyTypeObject *base_type)
|
||||
ATTR_NONNULL(1);
|
||||
[[nodiscard]] PyObject *Color_CreatePyObject_cb(PyObject *cb_user,
|
||||
unsigned char cb_type,
|
||||
unsigned char cb_subtype);
|
||||
|
||||
} // namespace blender
|
||||
1071
blender-5.2.0/source/blender/python/mathutils/mathutils_Euler.cc
Normal file
1071
blender-5.2.0/source/blender/python/mathutils/mathutils_Euler.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,46 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
#pragma once
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "mathutils.hh"
|
||||
|
||||
namespace blender {
|
||||
|
||||
extern PyTypeObject euler_Type;
|
||||
#define EulerObject_Check(v) PyObject_TypeCheck((v), &euler_Type)
|
||||
#define EulerObject_CheckExact(v) (Py_TYPE(v) == &euler_Type)
|
||||
|
||||
struct EulerObject {
|
||||
BASE_MATH_MEMBERS(eul);
|
||||
unsigned char order; /* rotation order */
|
||||
};
|
||||
|
||||
/* struct data contains a pointer to the actual data that the
|
||||
* object uses. It can use either PyMem allocated data (which will
|
||||
* be stored in py_data) or be a wrapper for data allocated through
|
||||
* blender (stored in blend_data). This is an either/or struct not both */
|
||||
|
||||
/* prototypes */
|
||||
|
||||
[[nodiscard]] PyObject *Euler_CreatePyObject(const float eul[3],
|
||||
short order,
|
||||
PyTypeObject *base_type);
|
||||
[[nodiscard]] PyObject *Euler_CreatePyObject_wrap(float eul[3],
|
||||
short order,
|
||||
PyTypeObject *base_type) ATTR_NONNULL(1);
|
||||
[[nodiscard]] PyObject *Euler_CreatePyObject_cb(PyObject *cb_user,
|
||||
short order,
|
||||
unsigned char cb_type,
|
||||
unsigned char cb_subtype);
|
||||
|
||||
[[nodiscard]] short euler_order_from_string(const char *str, const char *error_prefix);
|
||||
|
||||
} // namespace blender
|
||||
4294
blender-5.2.0/source/blender/python/mathutils/mathutils_Matrix.cc
Normal file
4294
blender-5.2.0/source/blender/python/mathutils/mathutils_Matrix.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,97 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "mathutils.hh"
|
||||
|
||||
namespace blender {
|
||||
|
||||
extern PyTypeObject matrix_Type;
|
||||
extern PyTypeObject matrix_access_Type;
|
||||
|
||||
using ushort = unsigned short;
|
||||
|
||||
#define MatrixObject_Check(v) PyObject_TypeCheck((v), &matrix_Type)
|
||||
#define MatrixObject_CheckExact(v) (Py_TYPE(v) == &matrix_Type)
|
||||
|
||||
#define MATRIX_MAX_DIM 4
|
||||
|
||||
/* matrix[row][col] == MATRIX_ITEM_INDEX(matrix, row, col) */
|
||||
|
||||
#ifndef NDEBUG
|
||||
# define MATRIX_ITEM_ASSERT(_mat, _row, _col) \
|
||||
(BLI_assert(_row < (_mat)->row_num && _col < (_mat)->col_num))
|
||||
#else
|
||||
# define MATRIX_ITEM_ASSERT(_mat, _row, _col) (void)0
|
||||
#endif
|
||||
|
||||
#define MATRIX_ITEM_INDEX_NUMROW(_totrow, _row, _col) (((_totrow) * (_col)) + (_row))
|
||||
#define MATRIX_ITEM_INDEX(_mat, _row, _col) \
|
||||
(MATRIX_ITEM_ASSERT(_mat, _row, _col), (((_mat)->row_num * (_col)) + (_row)))
|
||||
#define MATRIX_ITEM_PTR(_mat, _row, _col) ((_mat)->matrix + MATRIX_ITEM_INDEX(_mat, _row, _col))
|
||||
#define MATRIX_ITEM(_mat, _row, _col) ((_mat)->matrix[MATRIX_ITEM_INDEX(_mat, _row, _col)])
|
||||
|
||||
#define MATRIX_COL_INDEX(_mat, _col) (MATRIX_ITEM_INDEX(_mat, 0, _col))
|
||||
#define MATRIX_COL_PTR(_mat, _col) ((_mat)->matrix + MATRIX_COL_INDEX(_mat, _col))
|
||||
|
||||
struct MatrixObject {
|
||||
BASE_MATH_MEMBERS(matrix);
|
||||
ushort col_num;
|
||||
ushort row_num;
|
||||
};
|
||||
|
||||
/* struct data contains a pointer to the actual data that the
|
||||
* object uses. It can use either PyMem allocated data (which will
|
||||
* be stored in py_data) or be a wrapper for data allocated through
|
||||
* blender (stored in blend_data). This is an either/or struct not both */
|
||||
|
||||
/* Prototypes. */
|
||||
|
||||
[[nodiscard]] PyObject *Matrix_CreatePyObject(const float *mat,
|
||||
ushort col_num,
|
||||
ushort row_num,
|
||||
PyTypeObject *base_type);
|
||||
[[nodiscard]] PyObject *Matrix_CreatePyObject_wrap(float *mat,
|
||||
ushort col_num,
|
||||
ushort row_num,
|
||||
PyTypeObject *base_type) ATTR_NONNULL(1);
|
||||
[[nodiscard]] PyObject *Matrix_CreatePyObject_cb(PyObject *cb_user,
|
||||
unsigned short col_num,
|
||||
unsigned short row_num,
|
||||
unsigned char cb_type,
|
||||
unsigned char cb_subtype);
|
||||
|
||||
/**
|
||||
* \param mat: Initialized matrix value to use in-place, allocated with #PyMem_Malloc
|
||||
*/
|
||||
[[nodiscard]] PyObject *Matrix_CreatePyObject_alloc(float *mat,
|
||||
ushort col_num,
|
||||
ushort row_num,
|
||||
PyTypeObject *base_type);
|
||||
|
||||
/* PyArg_ParseTuple's "O&" formatting helpers. */
|
||||
|
||||
[[nodiscard]] int Matrix_ParseAny(PyObject *o, void *p);
|
||||
[[nodiscard]] int Matrix_Parse2x2(PyObject *o, void *p);
|
||||
[[nodiscard]] int Matrix_Parse3x3(PyObject *o, void *p);
|
||||
[[nodiscard]] int Matrix_Parse4x4(PyObject *o, void *p);
|
||||
|
||||
extern unsigned char mathutils_matrix_row_cb_index; /* default */
|
||||
extern unsigned char mathutils_matrix_col_cb_index;
|
||||
extern unsigned char mathutils_matrix_translation_cb_index;
|
||||
|
||||
extern struct Mathutils_Callback mathutils_matrix_row_cb; /* default */
|
||||
extern struct Mathutils_Callback mathutils_matrix_col_cb;
|
||||
extern struct Mathutils_Callback mathutils_matrix_translation_cb;
|
||||
|
||||
void matrix_as_3x3(float mat[3][3], MatrixObject *self);
|
||||
|
||||
} // namespace blender
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,40 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
#pragma once
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "mathutils.hh"
|
||||
|
||||
namespace blender {
|
||||
|
||||
extern PyTypeObject quaternion_Type;
|
||||
|
||||
#define QuaternionObject_Check(v) PyObject_TypeCheck((v), &quaternion_Type)
|
||||
#define QuaternionObject_CheckExact(v) (Py_TYPE(v) == &quaternion_Type)
|
||||
|
||||
struct QuaternionObject {
|
||||
BASE_MATH_MEMBERS(quat);
|
||||
};
|
||||
|
||||
/* struct data contains a pointer to the actual data that the
|
||||
* object uses. It can use either PyMem allocated data (which will
|
||||
* be stored in py_data) or be a wrapper for data allocated through
|
||||
* blender (stored in blend_data). This is an either/or struct not both */
|
||||
|
||||
/* Prototypes. */
|
||||
|
||||
[[nodiscard]] PyObject *Quaternion_CreatePyObject(const float quat[4], PyTypeObject *base_type);
|
||||
[[nodiscard]] PyObject *Quaternion_CreatePyObject_wrap(float quat[4], PyTypeObject *base_type)
|
||||
ATTR_NONNULL(1);
|
||||
[[nodiscard]] PyObject *Quaternion_CreatePyObject_cb(PyObject *cb_user,
|
||||
unsigned char cb_type,
|
||||
unsigned char cb_subtype);
|
||||
|
||||
} // namespace blender
|
||||
3723
blender-5.2.0/source/blender/python/mathutils/mathutils_Vector.cc
Normal file
3723
blender-5.2.0/source/blender/python/mathutils/mathutils_Vector.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,57 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "mathutils.hh"
|
||||
|
||||
namespace blender {
|
||||
|
||||
extern PyTypeObject vector_Type;
|
||||
|
||||
#define VectorObject_Check(v) PyObject_TypeCheck((v), &vector_Type)
|
||||
#define VectorObject_CheckExact(v) (Py_TYPE(v) == &vector_Type)
|
||||
|
||||
struct VectorObject {
|
||||
BASE_MATH_MEMBERS(vec);
|
||||
|
||||
/** Number of items in this vector (2 or more). */
|
||||
int vec_num;
|
||||
};
|
||||
|
||||
/* Prototypes. */
|
||||
|
||||
[[nodiscard]] PyObject *Vector_CreatePyObject(const float *vec,
|
||||
int vec_num,
|
||||
PyTypeObject *base_type);
|
||||
/**
|
||||
* Create a vector that wraps existing memory.
|
||||
*
|
||||
* \param vec: Use this vector in-place.
|
||||
*/
|
||||
[[nodiscard]] PyObject *Vector_CreatePyObject_wrap(float *vec,
|
||||
int vec_num,
|
||||
PyTypeObject *base_type) ATTR_NONNULL(1);
|
||||
/**
|
||||
* Create a vector where the value is defined by registered callbacks,
|
||||
* see: #Mathutils_RegisterCallback
|
||||
*/
|
||||
[[nodiscard]] PyObject *Vector_CreatePyObject_cb(PyObject *cb_user,
|
||||
int vec_num,
|
||||
unsigned char cb_type,
|
||||
unsigned char cb_subtype);
|
||||
/**
|
||||
* \param vec: Initialized vector value to use in-place, allocated with #PyMem_Malloc
|
||||
*/
|
||||
[[nodiscard]] PyObject *Vector_CreatePyObject_alloc(float *vec,
|
||||
int vec_num,
|
||||
PyTypeObject *base_type) ATTR_NONNULL(1);
|
||||
|
||||
} // namespace blender
|
||||
1396
blender-5.2.0/source/blender/python/mathutils/mathutils_bvhtree.cc
Normal file
1396
blender-5.2.0/source/blender/python/mathutils/mathutils_bvhtree.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,22 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup mathutils
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
namespace blender {
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_bvhtree();
|
||||
|
||||
extern PyTypeObject PyBVHTree_Type;
|
||||
|
||||
#define PyBVHTree_Check(v) PyObject_TypeCheck((v), &PyBVHTree_Type)
|
||||
#define PyBVHTree_CheckExact(v) (Py_TYPE(v) == &PyBVHTree_Type)
|
||||
|
||||
} // namespace blender
|
||||
2012
blender-5.2.0/source/blender/python/mathutils/mathutils_geometry.cc
Normal file
2012
blender-5.2.0/source/blender/python/mathutils/mathutils_geometry.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,17 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
#pragma once
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
namespace blender {
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_geometry();
|
||||
|
||||
} // namespace blender
|
||||
@@ -0,0 +1,120 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "mathutils.hh"
|
||||
#include "mathutils_interpolate.hh"
|
||||
|
||||
#include "BLI_math_geom.h"
|
||||
|
||||
namespace blender {
|
||||
|
||||
#ifndef MATH_STANDALONE /* define when building outside blender */
|
||||
# include "MEM_guardedalloc.h"
|
||||
#endif
|
||||
|
||||
/* ---------------------------------WEIGHT CALCULATION ----------------------- */
|
||||
|
||||
#ifndef MATH_STANDALONE
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
M_Interpolate_poly_3d_calc_doc,
|
||||
".. function:: poly_3d_calc(veclist, pt, /)\n"
|
||||
"\n"
|
||||
" Calculate barycentric weights for a point on a polygon.\n"
|
||||
"\n"
|
||||
" :param veclist: Sequence of 3D positions.\n"
|
||||
" :type veclist: Sequence[Sequence[float]]\n"
|
||||
" :param pt: 2D or 3D position.\n"
|
||||
" :type pt: Sequence[float]\n"
|
||||
" :return: A list of weights, one per vertex in *veclist*.\n"
|
||||
" :rtype: list[float]\n");
|
||||
static PyObject *M_Interpolate_poly_3d_calc(PyObject * /*self*/, PyObject *args)
|
||||
{
|
||||
float fp[3];
|
||||
float (*vecs)[3];
|
||||
Py_ssize_t len;
|
||||
|
||||
PyObject *point, *veclist, *ret;
|
||||
int i;
|
||||
|
||||
if (!PyArg_ParseTuple(args, "OO:poly_3d_calc", &veclist, &point)) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (mathutils_array_parse(
|
||||
fp, 2, 3 | MU_ARRAY_ZERO, point, "pt must be a 2-3 dimensional vector") == -1)
|
||||
{
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
len = mathutils_array_parse_alloc_v((reinterpret_cast<float **>(&vecs)), 3, veclist, __func__);
|
||||
if (len == -1) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (len) {
|
||||
float *weights = MEM_new_array_uninitialized<float>(size_t(len), __func__);
|
||||
|
||||
interp_weights_poly_v3(weights, vecs, len, fp);
|
||||
|
||||
ret = PyList_New(len);
|
||||
for (i = 0; i < len; i++) {
|
||||
PyList_SET_ITEM(ret, i, PyFloat_FromDouble(weights[i]));
|
||||
}
|
||||
|
||||
MEM_delete(weights);
|
||||
|
||||
PyMem_Free(vecs);
|
||||
}
|
||||
else {
|
||||
ret = PyList_New(0);
|
||||
}
|
||||
|
||||
return ret;
|
||||
}
|
||||
|
||||
#endif /* !MATH_STANDALONE */
|
||||
|
||||
static PyMethodDef M_Interpolate_methods[] = {
|
||||
#ifndef MATH_STANDALONE
|
||||
{"poly_3d_calc",
|
||||
static_cast<PyCFunction>(M_Interpolate_poly_3d_calc),
|
||||
METH_VARARGS,
|
||||
M_Interpolate_poly_3d_calc_doc},
|
||||
#endif
|
||||
{nullptr, nullptr, 0, nullptr},
|
||||
};
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
M_Interpolate_doc,
|
||||
"The Blender interpolate module.");
|
||||
static PyModuleDef M_Interpolate_module_def = {
|
||||
/*m_base*/ PyModuleDef_HEAD_INIT,
|
||||
/*m_name*/ "mathutils.interpolate",
|
||||
/*m_doc*/ M_Interpolate_doc,
|
||||
/*m_size*/ 0,
|
||||
/*m_methods*/ M_Interpolate_methods,
|
||||
/*m_slots*/ nullptr,
|
||||
/*m_traverse*/ nullptr,
|
||||
/*m_clear*/ nullptr,
|
||||
/*m_free*/ nullptr,
|
||||
};
|
||||
|
||||
/*----------------------------MODULE INIT-------------------------*/
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_interpolate()
|
||||
{
|
||||
PyObject *submodule = PyModule_Create(&M_Interpolate_module_def);
|
||||
return submodule;
|
||||
}
|
||||
|
||||
} // namespace blender
|
||||
@@ -0,0 +1,17 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
#pragma once
|
||||
|
||||
/** \file
|
||||
* \ingroup pymathutils
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
namespace blender {
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_interpolate();
|
||||
|
||||
} // namespace blender
|
||||
@@ -0,0 +1,524 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup mathutils
|
||||
*
|
||||
* This file defines the 'mathutils.kdtree' module, a general purpose module to access
|
||||
* blenders kdtree for 3d spatial lookups.
|
||||
*/
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
#include "MEM_guardedalloc.h"
|
||||
|
||||
#include "BLI_kdtree.hh"
|
||||
#include "BLI_utildefines.h"
|
||||
|
||||
#include "../generic/py_capi_utils.hh"
|
||||
#include "../generic/python_utildefines.hh"
|
||||
|
||||
#include "mathutils.hh"
|
||||
#include "mathutils_kdtree.hh" /* own include */
|
||||
|
||||
#include "BLI_strict_flags.h" /* IWYU pragma: keep. Keep last. */
|
||||
|
||||
namespace blender {
|
||||
|
||||
struct PyKDTree {
|
||||
PyObject_HEAD
|
||||
KDTree<float3> *obj;
|
||||
uint maxsize;
|
||||
uint count;
|
||||
uint count_balance; /* size when we last balanced */
|
||||
};
|
||||
|
||||
/* -------------------------------------------------------------------- */
|
||||
/* Utility helper functions */
|
||||
|
||||
static void kdtree_nearest_to_py_tuple(const KDTreeNearest<float3> *nearest, PyObject *py_retval)
|
||||
{
|
||||
BLI_assert(nearest->index >= 0);
|
||||
BLI_assert(PyTuple_GET_SIZE(py_retval) == 3);
|
||||
|
||||
PyTuple_SET_ITEMS(py_retval,
|
||||
Vector_CreatePyObject(nearest->co, 3, nullptr),
|
||||
PyLong_FromLong(nearest->index),
|
||||
PyFloat_FromDouble(nearest->dist));
|
||||
}
|
||||
|
||||
static PyObject *kdtree_nearest_to_py(const KDTreeNearest<float3> *nearest)
|
||||
{
|
||||
PyObject *py_retval;
|
||||
|
||||
py_retval = PyTuple_New(3);
|
||||
|
||||
kdtree_nearest_to_py_tuple(nearest, py_retval);
|
||||
|
||||
return py_retval;
|
||||
}
|
||||
|
||||
static PyObject *kdtree_nearest_to_py_and_check(const KDTreeNearest<float3> *nearest)
|
||||
{
|
||||
PyObject *py_retval;
|
||||
|
||||
py_retval = PyTuple_New(3);
|
||||
|
||||
if (nearest->index != -1) {
|
||||
kdtree_nearest_to_py_tuple(nearest, py_retval);
|
||||
}
|
||||
else {
|
||||
PyC_Tuple_Fill(py_retval, Py_None);
|
||||
}
|
||||
|
||||
return py_retval;
|
||||
}
|
||||
|
||||
/* -------------------------------------------------------------------- */
|
||||
/* KDTree */
|
||||
|
||||
/* annoying since arg parsing won't check overflow */
|
||||
#define UINT_IS_NEG(n) ((n) > INT_MAX)
|
||||
|
||||
static int PyKDTree__tp_init(PyKDTree *self, PyObject *args, PyObject *kwargs)
|
||||
{
|
||||
uint maxsize;
|
||||
const char *keywords[] = {"size", nullptr};
|
||||
|
||||
if (!PyArg_ParseTupleAndKeywords(
|
||||
args, kwargs, "I:KDTree", const_cast<char **>(keywords), &maxsize))
|
||||
{
|
||||
return -1;
|
||||
}
|
||||
|
||||
if (UINT_IS_NEG(maxsize)) {
|
||||
PyErr_SetString(PyExc_ValueError, "negative 'size' given");
|
||||
return -1;
|
||||
}
|
||||
|
||||
self->obj = kdtree_new<float3>(maxsize);
|
||||
self->maxsize = maxsize;
|
||||
self->count = 0;
|
||||
/* Initialize `uint-max` to avoid crashes on unbalanced trees. */
|
||||
self->count_balance = uint(-1);
|
||||
|
||||
return 0;
|
||||
}
|
||||
|
||||
static void PyKDTree__tp_dealloc(PyKDTree *self)
|
||||
{
|
||||
kdtree_free<float3>(self->obj);
|
||||
Py_TYPE(self)->tp_free(reinterpret_cast<PyObject *>(self));
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_kdtree_insert_doc,
|
||||
".. method:: insert(co, index)\n"
|
||||
"\n"
|
||||
" Insert a point into the KDTree.\n"
|
||||
"\n"
|
||||
" :param co: Point 3d position.\n"
|
||||
" :type co: Sequence[float]\n"
|
||||
" :param index: The index of the point (must be non-negative).\n"
|
||||
" :type index: int\n");
|
||||
static PyObject *py_kdtree_insert(PyKDTree *self, PyObject *args, PyObject *kwargs)
|
||||
{
|
||||
PyObject *py_co;
|
||||
float co[3];
|
||||
int index;
|
||||
const char *keywords[] = {"co", "index", nullptr};
|
||||
|
||||
if (!PyArg_ParseTupleAndKeywords(
|
||||
args, kwargs, "Oi:insert", const_cast<char **>(keywords), &py_co, &index))
|
||||
{
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (mathutils_array_parse(co, 3, 3, py_co, "insert: invalid 'co' arg") == -1) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (index < 0) {
|
||||
PyErr_SetString(PyExc_ValueError, "negative index given");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (self->count >= self->maxsize) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "Trying to insert more items than KDTree has room for");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
kdtree_insert<float3>(self->obj, index, co);
|
||||
self->count++;
|
||||
|
||||
Py_RETURN_NONE;
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_kdtree_balance_doc,
|
||||
".. method:: balance()\n"
|
||||
"\n"
|
||||
" Balance the tree.\n"
|
||||
"\n"
|
||||
" .. note::\n"
|
||||
"\n"
|
||||
" This builds the entire tree, avoid calling after each insertion.\n");
|
||||
static PyObject *py_kdtree_balance(PyKDTree *self)
|
||||
{
|
||||
kdtree_balance<float3>(self->obj);
|
||||
self->count_balance = self->count;
|
||||
Py_RETURN_NONE;
|
||||
}
|
||||
|
||||
struct PyKDTree_NearestData {
|
||||
PyObject *py_filter;
|
||||
bool is_error;
|
||||
};
|
||||
|
||||
static int py_find_nearest_cb(void *user_data, int index, const float3 &co, float dist_sq)
|
||||
{
|
||||
UNUSED_VARS(co, dist_sq);
|
||||
|
||||
PyKDTree_NearestData *data = static_cast<PyKDTree_NearestData *>(user_data);
|
||||
|
||||
PyObject *py_args = PyTuple_New(1);
|
||||
PyTuple_SET_ITEM(py_args, 0, PyLong_FromLong(index));
|
||||
PyObject *result = PyObject_CallObject(data->py_filter, py_args);
|
||||
Py_DECREF(py_args);
|
||||
|
||||
if (result) {
|
||||
bool use_node;
|
||||
const int ok = PyC_ParseBool(result, &use_node);
|
||||
Py_DECREF(result);
|
||||
if (ok) {
|
||||
return int(use_node);
|
||||
}
|
||||
}
|
||||
|
||||
data->is_error = true;
|
||||
return -1;
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_kdtree_find_doc,
|
||||
".. method:: find(co, *, filter=None)\n"
|
||||
"\n"
|
||||
" Find nearest point to ``co``.\n"
|
||||
"\n"
|
||||
" :param co: 3D coordinate.\n"
|
||||
" :type co: Sequence[float]\n"
|
||||
" :param filter: function which takes an index and returns True for indices to "
|
||||
"include in the search.\n"
|
||||
" :type filter: Callable[[int], bool] | None\n"
|
||||
" :return: Returns (position, index, distance),\n"
|
||||
" or (None, None, None) when no match is found.\n"
|
||||
" :rtype: tuple[:class:`Vector`, int, float] | tuple[None, None, None]\n");
|
||||
static PyObject *py_kdtree_find(PyKDTree *self, PyObject *args, PyObject *kwargs)
|
||||
{
|
||||
PyObject *py_co, *py_filter = Py_None;
|
||||
float co[3];
|
||||
KDTreeNearest<float3> nearest;
|
||||
const char *keywords[] = {"co", "filter", nullptr};
|
||||
|
||||
if (!PyArg_ParseTupleAndKeywords(
|
||||
args, kwargs, "O|$O:find", const_cast<char **>(keywords), &py_co, &py_filter))
|
||||
{
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (mathutils_array_parse(co, 3, 3, py_co, "find: invalid 'co' arg") == -1) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (self->count != self->count_balance) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "KDTree must be balanced before calling find()");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
nearest.index = -1;
|
||||
|
||||
if (py_filter == Py_None) {
|
||||
kdtree_find_nearest<float3>(self->obj, co, &nearest);
|
||||
}
|
||||
else {
|
||||
PyKDTree_NearestData data = {nullptr};
|
||||
|
||||
data.py_filter = py_filter;
|
||||
data.is_error = false;
|
||||
|
||||
kdtree_find_nearest_cb<float3>(
|
||||
self->obj, co, &nearest, [&](int index, const float3 &co_nearest, float dist_sq) {
|
||||
return py_find_nearest_cb(&data, index, co_nearest, dist_sq);
|
||||
});
|
||||
|
||||
if (data.is_error) {
|
||||
return nullptr;
|
||||
}
|
||||
}
|
||||
|
||||
return kdtree_nearest_to_py_and_check(&nearest);
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_kdtree_find_n_doc,
|
||||
".. method:: find_n(co, n)\n"
|
||||
"\n"
|
||||
" Find nearest ``n`` points to ``co``.\n"
|
||||
"\n"
|
||||
" :param co: 3D coordinate.\n"
|
||||
" :type co: Sequence[float]\n"
|
||||
" :param n: Number of points to find.\n"
|
||||
" :type n: int\n"
|
||||
" :return: Returns a list of tuples (position, index, distance).\n"
|
||||
" :rtype: list[tuple[:class:`Vector`, int, float]]\n");
|
||||
static PyObject *py_kdtree_find_n(PyKDTree *self, PyObject *args, PyObject *kwargs)
|
||||
{
|
||||
PyObject *py_list;
|
||||
PyObject *py_co;
|
||||
float co[3];
|
||||
KDTreeNearest<float3> *nearest;
|
||||
uint n;
|
||||
int i, found;
|
||||
const char *keywords[] = {"co", "n", nullptr};
|
||||
|
||||
if (!PyArg_ParseTupleAndKeywords(
|
||||
args, kwargs, "OI:find_n", const_cast<char **>(keywords), &py_co, &n))
|
||||
{
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (mathutils_array_parse(co, 3, 3, py_co, "find_n: invalid 'co' arg") == -1) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (UINT_IS_NEG(n)) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "negative 'n' given");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (self->count != self->count_balance) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "KDTree must be balanced before calling find_n()");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
nearest = MEM_new_array_uninitialized<KDTreeNearest<float3>>(n, __func__);
|
||||
|
||||
found = kdtree_find_nearest_n<float3>(self->obj, co, nearest, n);
|
||||
|
||||
py_list = PyList_New(found);
|
||||
|
||||
for (i = 0; i < found; i++) {
|
||||
PyList_SET_ITEM(py_list, i, kdtree_nearest_to_py(&nearest[i]));
|
||||
}
|
||||
|
||||
MEM_delete(nearest);
|
||||
|
||||
return py_list;
|
||||
}
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_kdtree_find_range_doc,
|
||||
".. method:: find_range(co, radius)\n"
|
||||
"\n"
|
||||
" Find all points within ``radius`` of ``co``.\n"
|
||||
"\n"
|
||||
" :param co: 3D coordinate.\n"
|
||||
" :type co: Sequence[float]\n"
|
||||
" :param radius: Maximum distance to search for points.\n"
|
||||
" :type radius: float\n"
|
||||
" :return: Returns a list of tuples (position, index, distance).\n"
|
||||
" :rtype: list[tuple[:class:`Vector`, int, float]]\n");
|
||||
static PyObject *py_kdtree_find_range(PyKDTree *self, PyObject *args, PyObject *kwargs)
|
||||
{
|
||||
PyObject *py_list;
|
||||
PyObject *py_co;
|
||||
float co[3];
|
||||
KDTreeNearest<float3> *nearest = nullptr;
|
||||
float radius;
|
||||
int i, found;
|
||||
|
||||
const char *keywords[] = {"co", "radius", nullptr};
|
||||
|
||||
if (!PyArg_ParseTupleAndKeywords(
|
||||
args, kwargs, "Of:find_range", const_cast<char **>(keywords), &py_co, &radius))
|
||||
{
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (mathutils_array_parse(co, 3, 3, py_co, "find_range: invalid 'co' arg") == -1) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (radius < 0.0f) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "negative radius given");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
if (self->count != self->count_balance) {
|
||||
PyErr_SetString(PyExc_RuntimeError, "KDTree must be balanced before calling find_range()");
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
found = kdtree_range_search<float3>(self->obj, co, &nearest, radius);
|
||||
|
||||
py_list = PyList_New(found);
|
||||
|
||||
for (i = 0; i < found; i++) {
|
||||
PyList_SET_ITEM(py_list, i, kdtree_nearest_to_py(&nearest[i]));
|
||||
}
|
||||
|
||||
if (nearest) {
|
||||
MEM_delete(nearest);
|
||||
}
|
||||
|
||||
return py_list;
|
||||
}
|
||||
|
||||
#ifdef __GNUC__
|
||||
# ifdef __clang__
|
||||
# pragma clang diagnostic push
|
||||
# pragma clang diagnostic ignored "-Wcast-function-type"
|
||||
# else
|
||||
# pragma GCC diagnostic push
|
||||
# pragma GCC diagnostic ignored "-Wcast-function-type"
|
||||
# endif
|
||||
#endif
|
||||
|
||||
static PyMethodDef PyKDTree_methods[] = {
|
||||
{"insert",
|
||||
reinterpret_cast<PyCFunction>(py_kdtree_insert),
|
||||
METH_VARARGS | METH_KEYWORDS,
|
||||
py_kdtree_insert_doc},
|
||||
{"balance",
|
||||
reinterpret_cast<PyCFunction>(py_kdtree_balance),
|
||||
METH_NOARGS,
|
||||
py_kdtree_balance_doc},
|
||||
{"find",
|
||||
reinterpret_cast<PyCFunction>(py_kdtree_find),
|
||||
METH_VARARGS | METH_KEYWORDS,
|
||||
py_kdtree_find_doc},
|
||||
{"find_n",
|
||||
reinterpret_cast<PyCFunction>(py_kdtree_find_n),
|
||||
METH_VARARGS | METH_KEYWORDS,
|
||||
py_kdtree_find_n_doc},
|
||||
{"find_range",
|
||||
reinterpret_cast<PyCFunction>(py_kdtree_find_range),
|
||||
METH_VARARGS | METH_KEYWORDS,
|
||||
py_kdtree_find_range_doc},
|
||||
{nullptr, nullptr, 0, nullptr},
|
||||
};
|
||||
|
||||
#ifdef __GNUC__
|
||||
# ifdef __clang__
|
||||
# pragma clang diagnostic pop
|
||||
# else
|
||||
# pragma GCC diagnostic pop
|
||||
# endif
|
||||
#endif
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_KDtree_doc,
|
||||
".. class:: KDTree(size)\n"
|
||||
"\n"
|
||||
" KDTree(size) -> new kd-tree initialized to hold up to ``size`` items.\n"
|
||||
"\n"
|
||||
" :param size: Maximum number of items.\n"
|
||||
" :type size: int\n"
|
||||
"\n"
|
||||
" .. note::\n"
|
||||
"\n"
|
||||
" :meth:`KDTree.balance` must have been called before using any of the ``find`` "
|
||||
"methods.\n");
|
||||
PyTypeObject PyKDTree_Type = {
|
||||
/*ob_base*/ PyVarObject_HEAD_INIT(nullptr, 0)
|
||||
/*tp_name*/ "KDTree",
|
||||
/*tp_basicsize*/ sizeof(PyKDTree),
|
||||
/*tp_itemsize*/ 0,
|
||||
/*tp_dealloc*/ reinterpret_cast<destructor>(PyKDTree__tp_dealloc),
|
||||
/*tp_vectorcall_offset*/ 0,
|
||||
/*tp_getattr*/ nullptr,
|
||||
/*tp_setattr*/ nullptr,
|
||||
/*tp_as_async*/ nullptr,
|
||||
/*tp_repr*/ nullptr,
|
||||
/*tp_as_number*/ nullptr,
|
||||
/*tp_as_sequence*/ nullptr,
|
||||
/*tp_as_mapping*/ nullptr,
|
||||
/*tp_hash*/ nullptr,
|
||||
/*tp_call*/ nullptr,
|
||||
/*tp_str*/ nullptr,
|
||||
/*tp_getattro*/ nullptr,
|
||||
/*tp_setattro*/ nullptr,
|
||||
/*tp_as_buffer*/ nullptr,
|
||||
/*tp_flags*/ Py_TPFLAGS_DEFAULT,
|
||||
/*tp_doc*/ py_KDtree_doc,
|
||||
/*tp_traverse*/ nullptr,
|
||||
/*tp_clear*/ nullptr,
|
||||
/*tp_richcompare*/ nullptr,
|
||||
/*tp_weaklistoffset*/ 0,
|
||||
/*tp_iter*/ nullptr,
|
||||
/*tp_iternext*/ nullptr,
|
||||
/*tp_methods*/ static_cast<PyMethodDef *>(PyKDTree_methods),
|
||||
/*tp_members*/ nullptr,
|
||||
/*tp_getset*/ nullptr,
|
||||
/*tp_base*/ nullptr,
|
||||
/*tp_dict*/ nullptr,
|
||||
/*tp_descr_get*/ nullptr,
|
||||
/*tp_descr_set*/ nullptr,
|
||||
/*tp_dictoffset*/ 0,
|
||||
/*tp_init*/ reinterpret_cast<initproc>(PyKDTree__tp_init),
|
||||
/*tp_alloc*/ static_cast<allocfunc>(PyType_GenericAlloc),
|
||||
/*tp_new*/ static_cast<newfunc>(PyType_GenericNew),
|
||||
/*tp_free*/ static_cast<freefunc>(nullptr),
|
||||
/*tp_is_gc*/ nullptr,
|
||||
/*tp_bases*/ nullptr,
|
||||
/*tp_mro*/ nullptr,
|
||||
/*tp_cache*/ nullptr,
|
||||
/*tp_subclasses*/ nullptr,
|
||||
/*tp_weaklist*/ nullptr,
|
||||
/*tp_del*/ static_cast<destructor>(nullptr),
|
||||
/*tp_version_tag*/ 0,
|
||||
/*tp_finalize*/ nullptr,
|
||||
/*tp_vectorcall*/ nullptr,
|
||||
};
|
||||
|
||||
PyDoc_STRVAR(
|
||||
/* Wrap. */
|
||||
py_kdtree_doc,
|
||||
"Generic 3-dimensional kd-tree to perform spatial searches.");
|
||||
static PyModuleDef kdtree_moduledef = {
|
||||
/*m_base*/ PyModuleDef_HEAD_INIT,
|
||||
/*m_name*/ "mathutils.kdtree",
|
||||
/*m_doc*/ py_kdtree_doc,
|
||||
/*m_size*/ 0,
|
||||
/*m_methods*/ nullptr,
|
||||
/*m_slots*/ nullptr,
|
||||
/*m_traverse*/ nullptr,
|
||||
/*m_clear*/ nullptr,
|
||||
/*m_free*/ nullptr,
|
||||
};
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_kdtree()
|
||||
{
|
||||
PyObject *m = PyModule_Create(&kdtree_moduledef);
|
||||
|
||||
if (m == nullptr) {
|
||||
return nullptr;
|
||||
}
|
||||
|
||||
/* Register the 'KDTree' class */
|
||||
if (PyType_Ready(&PyKDTree_Type)) {
|
||||
return nullptr;
|
||||
}
|
||||
PyModule_AddType(m, &PyKDTree_Type);
|
||||
|
||||
return m;
|
||||
}
|
||||
|
||||
} // namespace blender
|
||||
@@ -0,0 +1,19 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup mathutils
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
namespace blender {
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_kdtree();
|
||||
|
||||
extern PyTypeObject PyKDTree_Type;
|
||||
|
||||
} // namespace blender
|
||||
1201
blender-5.2.0/source/blender/python/mathutils/mathutils_noise.cc
Normal file
1201
blender-5.2.0/source/blender/python/mathutils/mathutils_noise.cc
Normal file
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,17 @@
|
||||
/* SPDX-FileCopyrightText: 2023 Blender Authors
|
||||
*
|
||||
* SPDX-License-Identifier: GPL-2.0-or-later */
|
||||
|
||||
/** \file
|
||||
* \ingroup mathutils
|
||||
*/
|
||||
|
||||
#pragma once
|
||||
|
||||
#include <Python.h>
|
||||
|
||||
namespace blender {
|
||||
|
||||
PyMODINIT_FUNC PyInit_mathutils_noise();
|
||||
|
||||
} // namespace blender
|
||||
Reference in New Issue
Block a user