from Andrew Hale (trumanblending) Tracker description ******************* The current python noise module included with Blender has yet to be updated to the new Py API. This patch does so, with the following major points: - The noise module has now been moved to a submodule of mathutils, it can be accessed by mathutils.noise. It was moved from it's own module as it will now return mathutils types and also have greater visibility to the user. - All functions which return vectors will now return mathutils.Vector types to be consistent with the rest of the API. Previously (x, y, z) tuples were returned. - A different implementation of random_unit_vector is now used, this allows 2D, 3D and 4D vectors to be returned. Previously only 3D was possible. - Some function names have been changed to remove ambiguities and make naming consistent within the module. noise.vector is now noise.noise_vector and noise.vl_vector is now noise.variable_lacunarity - Doc strings have been updated to be compatible with auto docs. - Code style and internal naming has been changed to match the conventions in other mathutils code. Thanks, Andrew
389 lines
11 KiB
C
389 lines
11 KiB
C
/*
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* ***** BEGIN GPL LICENSE BLOCK *****
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*
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* This program is free software; you can redistribute it and/or
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* modify it under the terms of the GNU General Public License
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* as published by the Free Software Foundation; either version 2
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* of the License, or (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*
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* The Original Code is Copyright (C) 2001-2002 by NaN Holding BV.
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* All rights reserved.
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*
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* This is a new part of Blender.
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*
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* Contributor(s): Joseph Gilbert, Campbell Barton
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*
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* ***** END GPL LICENSE BLOCK *****
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*/
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/** \file blender/python/mathutils/mathutils.c
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* \ingroup pymathutils
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*/
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#include <Python.h>
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#include "mathutils.h"
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#include "BLI_math.h"
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#include "BLI_utildefines.h"
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PyDoc_STRVAR(M_Mathutils_doc,
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"This module provides access to matrices, eulers, quaternions and vectors."
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);
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static int mathutils_array_parse_fast(float *array, int array_min, int array_max, PyObject *value, const char *error_prefix)
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{
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PyObject *value_fast= NULL;
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PyObject *item;
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int i, size;
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/* non list/tuple cases */
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if (!(value_fast=PySequence_Fast(value, error_prefix))) {
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/* PySequence_Fast sets the error */
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return -1;
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}
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size= PySequence_Fast_GET_SIZE(value_fast);
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if (size > array_max || size < array_min) {
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if (array_max == array_min) {
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PyErr_Format(PyExc_ValueError,
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"%.200s: sequence size is %d, expected %d",
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error_prefix, size, array_max);
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}
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else {
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PyErr_Format(PyExc_ValueError,
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"%.200s: sequence size is %d, expected [%d - %d]",
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error_prefix, size, array_min, array_max);
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}
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Py_DECREF(value_fast);
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return -1;
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}
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i= size;
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do {
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i--;
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if (((array[i]= PyFloat_AsDouble((item= PySequence_Fast_GET_ITEM(value_fast, i)))) == -1.0f) && PyErr_Occurred()) {
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PyErr_Format(PyExc_TypeError,
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"%.200s: sequence index %d expected a number, "
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"found '%.200s' type, ",
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error_prefix, i, Py_TYPE(item)->tp_name);
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Py_DECREF(value_fast);
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return -1;
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}
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} while (i);
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Py_XDECREF(value_fast);
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return size;
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}
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/* helper functionm returns length of the 'value', -1 on error */
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int mathutils_array_parse(float *array, int array_min, int array_max, PyObject *value, const char *error_prefix)
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{
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#if 1 /* approx 6x speedup for mathutils types */
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int size;
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if ( (size= VectorObject_Check(value) ? ((VectorObject *)value)->size : 0) ||
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(size= EulerObject_Check(value) ? 3 : 0) ||
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(size= QuaternionObject_Check(value) ? 4 : 0) ||
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(size= 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 (size > array_max || size < array_min) {
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if (array_max == array_min) {
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PyErr_Format(PyExc_ValueError,
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"%.200s: sequence size is %d, expected %d",
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error_prefix, size, array_max);
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}
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else {
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PyErr_Format(PyExc_ValueError,
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"%.200s: sequence size is %d, expected [%d - %d]",
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error_prefix, size, array_min, array_max);
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}
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return -1;
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}
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memcpy(array, ((BaseMathObject *)value)->data, size * sizeof(float));
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return size;
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}
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else
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#endif
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{
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return mathutils_array_parse_fast(array, array_min, array_max, value, error_prefix);
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}
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}
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int mathutils_any_to_rotmat(float rmat[3][3], PyObject *value, const char *error_prefix)
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{
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if (EulerObject_Check(value)) {
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if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
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return -1;
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}
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else {
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eulO_to_mat3(rmat, ((EulerObject *)value)->eul, ((EulerObject *)value)->order);
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return 0;
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}
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}
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else if (QuaternionObject_Check(value)) {
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if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
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return -1;
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}
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else {
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float tquat[4];
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normalize_qt_qt(tquat, ((QuaternionObject *)value)->quat);
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quat_to_mat3(rmat, tquat);
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return 0;
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}
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}
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else if (MatrixObject_Check(value)) {
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if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
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return -1;
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}
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else if (((MatrixObject *)value)->col_size < 3 || ((MatrixObject *)value)->row_size < 3) {
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PyErr_Format(PyExc_ValueError,
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"%.200s: matrix must have minimum 3x3 dimensions",
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error_prefix);
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return -1;
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}
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else {
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matrix_as_3x3(rmat, (MatrixObject *)value);
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normalize_m3(rmat);
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return 0;
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}
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}
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else {
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PyErr_Format(PyExc_TypeError,
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"%.200s: expected a Euler, Quaternion or Matrix type, "
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"found %.200s", error_prefix, Py_TYPE(value)->tp_name);
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return -1;
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}
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}
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//----------------------------------MATRIX FUNCTIONS--------------------
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/* Utility functions */
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// LomontRRDCompare4, Ever Faster Float Comparisons by Randy Dillon
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#define SIGNMASK(i) (-(int)(((unsigned int)(i))>>31))
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int EXPP_FloatsAreEqual(float af, float bf, int maxDiff)
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{ // solid, fast routine across all platforms
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// with constant time behavior
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int ai = *(int *)(&af);
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int bi = *(int *)(&bf);
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int test = SIGNMASK(ai^bi);
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int diff, v1, v2;
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assert((0 == test) || (0xFFFFFFFF == test));
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diff = (ai ^ (test & 0x7fffffff)) - bi;
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v1 = maxDiff + diff;
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v2 = maxDiff - diff;
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return (v1|v2) >= 0;
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}
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/*---------------------- EXPP_VectorsAreEqual -------------------------
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Builds on EXPP_FloatsAreEqual to test vectors */
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int EXPP_VectorsAreEqual(float *vecA, float *vecB, int size, int floatSteps)
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{
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int x;
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for (x=0; x< size; x++) {
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if (EXPP_FloatsAreEqual(vecA[x], vecB[x], floatSteps) == 0)
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return 0;
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}
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return 1;
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}
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/* Mathutils Callbacks */
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/* for mathutils internal use only, eventually should re-alloc but to start with we only have a few users */
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static Mathutils_Callback *mathutils_callbacks[8] = {NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL};
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int Mathutils_RegisterCallback(Mathutils_Callback *cb)
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{
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int i;
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/* find the first free slot */
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for (i= 0; mathutils_callbacks[i]; i++) {
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if (mathutils_callbacks[i]==cb) /* already registered? */
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return i;
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}
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mathutils_callbacks[i] = cb;
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return i;
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}
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/* use macros to check for NULL */
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int _BaseMathObject_ReadCallback(BaseMathObject *self)
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{
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Mathutils_Callback *cb= mathutils_callbacks[self->cb_type];
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if (cb->get(self, self->cb_subtype) != -1)
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return 0;
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if (!PyErr_Occurred()) {
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PyErr_Format(PyExc_RuntimeError,
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"%s read, user has become invalid",
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Py_TYPE(self)->tp_name);
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}
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return -1;
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}
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int _BaseMathObject_WriteCallback(BaseMathObject *self)
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{
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Mathutils_Callback *cb= mathutils_callbacks[self->cb_type];
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if (cb->set(self, self->cb_subtype) != -1)
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return 0;
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if (!PyErr_Occurred()) {
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PyErr_Format(PyExc_RuntimeError,
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"%s write, user has become invalid",
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Py_TYPE(self)->tp_name);
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}
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return -1;
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}
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int _BaseMathObject_ReadIndexCallback(BaseMathObject *self, int index)
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{
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Mathutils_Callback *cb= mathutils_callbacks[self->cb_type];
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if (cb->get_index(self, self->cb_subtype, index) != -1)
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return 0;
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if (!PyErr_Occurred()) {
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PyErr_Format(PyExc_RuntimeError,
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"%s read index, user has become invalid",
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Py_TYPE(self)->tp_name);
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}
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return -1;
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}
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int _BaseMathObject_WriteIndexCallback(BaseMathObject *self, int index)
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{
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Mathutils_Callback *cb= mathutils_callbacks[self->cb_type];
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if (cb->set_index(self, self->cb_subtype, index) != -1)
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return 0;
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if (!PyErr_Occurred()) {
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PyErr_Format(PyExc_RuntimeError,
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"%s write index, user has become invalid",
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Py_TYPE(self)->tp_name);
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}
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return -1;
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}
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/* BaseMathObject generic functions for all mathutils types */
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char BaseMathObject_Owner_doc[] = "The item this is wrapping or None (readonly).";
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PyObject *BaseMathObject_getOwner(BaseMathObject *self, void *UNUSED(closure))
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{
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PyObject *ret= self->cb_user ? self->cb_user : Py_None;
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Py_INCREF(ret);
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return ret;
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}
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char BaseMathObject_Wrapped_doc[] = "True when this object wraps external data (readonly).\n\n:type: boolean";
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PyObject *BaseMathObject_getWrapped(BaseMathObject *self, void *UNUSED(closure))
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{
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return PyBool_FromLong((self->wrapped == Py_WRAP) ? 1:0);
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}
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int BaseMathObject_traverse(BaseMathObject *self, visitproc visit, void *arg)
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{
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Py_VISIT(self->cb_user);
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return 0;
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}
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int BaseMathObject_clear(BaseMathObject *self)
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{
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Py_CLEAR(self->cb_user);
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return 0;
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}
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void BaseMathObject_dealloc(BaseMathObject *self)
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{
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/* only free non wrapped */
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if (self->wrapped != Py_WRAP) {
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PyMem_Free(self->data);
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}
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if (self->cb_user) {
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PyObject_GC_UnTrack(self);
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BaseMathObject_clear(self);
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}
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Py_TYPE(self)->tp_free(self); // PyObject_DEL(self); // breaks subtypes
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}
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/*----------------------------MODULE INIT-------------------------*/
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static struct PyMethodDef M_Mathutils_methods[] = {
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{NULL, NULL, 0, NULL}
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};
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static struct PyModuleDef M_Mathutils_module_def = {
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PyModuleDef_HEAD_INIT,
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"mathutils", /* m_name */
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M_Mathutils_doc, /* m_doc */
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0, /* m_size */
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M_Mathutils_methods, /* m_methods */
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NULL, /* m_reload */
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NULL, /* m_traverse */
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NULL, /* m_clear */
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NULL, /* m_free */
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};
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PyMODINIT_FUNC PyInit_mathutils(void)
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{
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PyObject *submodule;
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PyObject *item;
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PyObject *sys_modules= PyThreadState_GET()->interp->modules;
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if (PyType_Ready(&vector_Type) < 0)
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return NULL;
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if (PyType_Ready(&matrix_Type) < 0)
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return NULL;
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if (PyType_Ready(&euler_Type) < 0)
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return NULL;
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if (PyType_Ready(&quaternion_Type) < 0)
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return NULL;
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if (PyType_Ready(&color_Type) < 0)
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return NULL;
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submodule = PyModule_Create(&M_Mathutils_module_def);
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/* each type has its own new() function */
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PyModule_AddObject(submodule, "Vector", (PyObject *)&vector_Type);
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PyModule_AddObject(submodule, "Matrix", (PyObject *)&matrix_Type);
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PyModule_AddObject(submodule, "Euler", (PyObject *)&euler_Type);
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PyModule_AddObject(submodule, "Quaternion", (PyObject *)&quaternion_Type);
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PyModule_AddObject(submodule, "Color", (PyObject *)&color_Type);
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/* submodule */
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PyModule_AddObject(submodule, "geometry", (item=PyInit_mathutils_geometry()));
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/* XXX, python doesnt do imports with this usefully yet
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* 'from mathutils.geometry import PolyFill'
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* ...fails without this. */
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PyDict_SetItemString(sys_modules, "mathutils.geometry", item);
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Py_INCREF(item);
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/* Noise submodule */
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PyModule_AddObject(submodule, "noise", (item=PyInit_mathutils_noise()));
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PyDict_SetItemString(sys_modules, "mathutils.noise", item);
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Py_INCREF(item);
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mathutils_matrix_vector_cb_index= Mathutils_RegisterCallback(&mathutils_matrix_vector_cb);
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return submodule;
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}
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