827 lines
		
	
	
		
			23 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			827 lines
		
	
	
		
			23 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| /*
 | |
|  * This program is free software; you can redistribute it and/or
 | |
|  * 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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|  * This program is distributed in the hope that it will be useful,
 | |
|  * but WITHOUT ANY WARRANTY; without even the implied warranty of
 | |
|  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 | |
|  * GNU General Public License for more details.
 | |
|  *
 | |
|  * You should have received a copy of the GNU General Public License
 | |
|  * along with this program; if not, write to the Free Software Foundation,
 | |
|  * Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
 | |
|  */
 | |
| 
 | |
| /** \file
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|  * \ingroup pymathutils
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|  */
 | |
| 
 | |
| #include <Python.h>
 | |
| 
 | |
| #include "mathutils.h"
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| 
 | |
| #include "BLI_math.h"
 | |
| #include "BLI_utildefines.h"
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| 
 | |
| #include "../generic/py_capi_utils.h"
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| #include "../generic/python_utildefines.h"
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| 
 | |
| #ifndef MATH_STANDALONE
 | |
| #  include "BLI_dynstr.h"
 | |
| #endif
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| 
 | |
| PyDoc_STRVAR(
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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"
 | |
|     "\n"
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|     "- :class:`Color`,\n"
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|     "- :class:`Euler`,\n"
 | |
|     "- :class:`Matrix`,\n"
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|     "- :class:`Quaternion`,\n"
 | |
|     "- :class:`Vector`,\n");
 | |
| static int mathutils_array_parse_fast(float *array,
 | |
|                                       int size,
 | |
|                                       PyObject *value_fast,
 | |
|                                       const char *error_prefix)
 | |
| {
 | |
|   PyObject *item;
 | |
|   PyObject **value_fast_items = PySequence_Fast_ITEMS(value_fast);
 | |
| 
 | |
|   int i;
 | |
| 
 | |
|   i = size;
 | |
|   do {
 | |
|     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, "
 | |
|                    "found '%.200s' type, ",
 | |
|                    error_prefix,
 | |
|                    i,
 | |
|                    Py_TYPE(item)->tp_name);
 | |
|       size = -1;
 | |
|       break;
 | |
|     }
 | |
|   } while (i);
 | |
| 
 | |
|   return size;
 | |
| }
 | |
| 
 | |
| /**
 | |
|  * helper function that returns a Python ``__hash__``.
 | |
|  *
 | |
|  * \note consistent with the equivalent tuple of floats (CPython's 'tuplehash')
 | |
|  */
 | |
| Py_hash_t mathutils_array_hash(const float *array, size_t array_len)
 | |
| {
 | |
|   int i;
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|   Py_uhash_t x; /* Unsigned for defined overflow behavior. */
 | |
|   Py_hash_t y;
 | |
|   Py_uhash_t mult;
 | |
|   Py_ssize_t len;
 | |
| 
 | |
|   mult = _PyHASH_MULTIPLIER;
 | |
|   len = array_len;
 | |
|   x = 0x345678UL;
 | |
|   i = 0;
 | |
|   while (--len >= 0) {
 | |
|     y = _Py_HashDouble((double)(array[i++]));
 | |
|     if (y == -1) {
 | |
|       return -1;
 | |
|     }
 | |
|     x = (x ^ y) * mult;
 | |
|     /* the cast might truncate len; that doesn't change hash stability */
 | |
|     mult += (Py_hash_t)(82520UL + len + len);
 | |
|   }
 | |
|   x += 97531UL;
 | |
|   if (x == (Py_uhash_t)-1) {
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|     x = -2;
 | |
|   }
 | |
|   return x;
 | |
| }
 | |
| 
 | |
| /* helper function returns length of the 'value', -1 on error */
 | |
| int mathutils_array_parse(
 | |
|     float *array, int array_min, int array_max, PyObject *value, const char *error_prefix)
 | |
| {
 | |
|   const uint flag = array_max;
 | |
|   int size;
 | |
| 
 | |
|   array_max &= ~MU_ARRAY_FLAGS;
 | |
| 
 | |
| #if 1 /* approx 6x speedup for mathutils types */
 | |
| 
 | |
|   if ((size = VectorObject_Check(value) ? ((VectorObject *)value)->size : 0) ||
 | |
|       (size = EulerObject_Check(value) ? 3 : 0) ||
 | |
|       (size = QuaternionObject_Check(value) ? 4 : 0) ||
 | |
|       (size = ColorObject_Check(value) ? 3 : 0)) {
 | |
|     if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     if (flag & MU_ARRAY_SPILL) {
 | |
|       CLAMP_MAX(size, array_max);
 | |
|     }
 | |
| 
 | |
|     if (size > array_max || size < array_min) {
 | |
|       if (array_max == array_min) {
 | |
|         PyErr_Format(PyExc_ValueError,
 | |
|                      "%.200s: sequence size is %d, expected %d",
 | |
|                      error_prefix,
 | |
|                      size,
 | |
|                      array_max);
 | |
|       }
 | |
|       else {
 | |
|         PyErr_Format(PyExc_ValueError,
 | |
|                      "%.200s: sequence size is %d, expected [%d - %d]",
 | |
|                      error_prefix,
 | |
|                      size,
 | |
|                      array_min,
 | |
|                      array_max);
 | |
|       }
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     memcpy(array, ((const BaseMathObject *)value)->data, size * sizeof(float));
 | |
|   }
 | |
|   else
 | |
| #endif
 | |
|   {
 | |
|     PyObject *value_fast = NULL;
 | |
| 
 | |
|     /* non list/tuple cases */
 | |
|     if (!(value_fast = PySequence_Fast(value, error_prefix))) {
 | |
|       /* PySequence_Fast sets the error */
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     size = PySequence_Fast_GET_SIZE(value_fast);
 | |
| 
 | |
|     if (flag & MU_ARRAY_SPILL) {
 | |
|       CLAMP_MAX(size, array_max);
 | |
|     }
 | |
| 
 | |
|     if (size > array_max || size < array_min) {
 | |
|       if (array_max == array_min) {
 | |
|         PyErr_Format(PyExc_ValueError,
 | |
|                      "%.200s: sequence size is %d, expected %d",
 | |
|                      error_prefix,
 | |
|                      size,
 | |
|                      array_max);
 | |
|       }
 | |
|       else {
 | |
|         PyErr_Format(PyExc_ValueError,
 | |
|                      "%.200s: sequence size is %d, expected [%d - %d]",
 | |
|                      error_prefix,
 | |
|                      size,
 | |
|                      array_min,
 | |
|                      array_max);
 | |
|       }
 | |
|       Py_DECREF(value_fast);
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     size = mathutils_array_parse_fast(array, size, value_fast, error_prefix);
 | |
|     Py_DECREF(value_fast);
 | |
|   }
 | |
| 
 | |
|   if (size != -1) {
 | |
|     if (flag & MU_ARRAY_ZERO) {
 | |
|       const int size_left = array_max - size;
 | |
|       if (size_left) {
 | |
|         memset(&array[size], 0, sizeof(float) * size_left);
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| 
 | |
|   return size;
 | |
| }
 | |
| 
 | |
| /* on error, -1 is returned and no allocation is made */
 | |
| int mathutils_array_parse_alloc(float **array,
 | |
|                                 int array_min,
 | |
|                                 PyObject *value,
 | |
|                                 const char *error_prefix)
 | |
| {
 | |
|   int size;
 | |
| 
 | |
| #if 1 /* approx 6x speedup for mathutils types */
 | |
| 
 | |
|   if ((size = VectorObject_Check(value) ? ((VectorObject *)value)->size : 0) ||
 | |
|       (size = EulerObject_Check(value) ? 3 : 0) ||
 | |
|       (size = QuaternionObject_Check(value) ? 4 : 0) ||
 | |
|       (size = ColorObject_Check(value) ? 3 : 0)) {
 | |
|     if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     if (size < array_min) {
 | |
|       PyErr_Format(PyExc_ValueError,
 | |
|                    "%.200s: sequence size is %d, expected > %d",
 | |
|                    error_prefix,
 | |
|                    size,
 | |
|                    array_min);
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     *array = PyMem_Malloc(size * sizeof(float));
 | |
|     memcpy(*array, ((const BaseMathObject *)value)->data, size * sizeof(float));
 | |
|     return size;
 | |
|   }
 | |
| 
 | |
| #endif
 | |
| 
 | |
|   PyObject *value_fast = NULL;
 | |
|   // *array = NULL;
 | |
|   int ret;
 | |
| 
 | |
|   /* non list/tuple cases */
 | |
|   if (!(value_fast = PySequence_Fast(value, error_prefix))) {
 | |
|     /* PySequence_Fast sets the error */
 | |
|     return -1;
 | |
|   }
 | |
| 
 | |
|   size = PySequence_Fast_GET_SIZE(value_fast);
 | |
| 
 | |
|   if (size < array_min) {
 | |
|     Py_DECREF(value_fast);
 | |
|     PyErr_Format(PyExc_ValueError,
 | |
|                  "%.200s: sequence size is %d, expected > %d",
 | |
|                  error_prefix,
 | |
|                  size,
 | |
|                  array_min);
 | |
|     return -1;
 | |
|   }
 | |
| 
 | |
|   *array = PyMem_Malloc(size * sizeof(float));
 | |
| 
 | |
|   ret = mathutils_array_parse_fast(*array, size, value_fast, error_prefix);
 | |
|   Py_DECREF(value_fast);
 | |
| 
 | |
|   if (ret == -1) {
 | |
|     PyMem_Free(*array);
 | |
|   }
 | |
| 
 | |
|   return ret;
 | |
| }
 | |
| 
 | |
| /* parse an array of vectors */
 | |
| 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, size;
 | |
| 
 | |
|   /* non list/tuple cases */
 | |
|   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);
 | |
|     float *fp;
 | |
| 
 | |
|     array_dim &= ~MU_ARRAY_FLAGS;
 | |
| 
 | |
|     fp = *array = PyMem_Malloc(size * array_dim * sizeof(float));
 | |
| 
 | |
|     for (i = 0; i < size; 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 = NULL;
 | |
|         size = -1;
 | |
|         break;
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| 
 | |
|   Py_DECREF(value_fast);
 | |
|   return size;
 | |
| }
 | |
| 
 | |
| /* Parse an sequence array_dim integers into array. */
 | |
| 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;
 | |
| }
 | |
| 
 | |
| /* Parse sequence of array_dim sequences of integers and return allocated result. */
 | |
| 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 = 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 = NULL;
 | |
|         size = -1;
 | |
|         break;
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| 
 | |
|   Py_DECREF(value_fast);
 | |
|   return size;
 | |
| }
 | |
| 
 | |
| /* Parse sequence of variable-length sequences of int and return allocated
 | |
|  * triple of arrays to represent the result:
 | |
|  * The flattened sequences are put into *array.
 | |
|  * The start index of each sequence goes into start_table.
 | |
|  * The length of each index goes into len_table.
 | |
|  */
 | |
| int mathutils_array_parse_alloc_viseq(
 | |
|     int **array, int **start_table, int **len_table, PyObject *value, const char *error_prefix)
 | |
| {
 | |
|   PyObject *value_fast, *subseq;
 | |
|   int i, size, start, subseq_len;
 | |
|   int *ip;
 | |
| 
 | |
|   *array = NULL;
 | |
|   *start_table = NULL;
 | |
|   *len_table = NULL;
 | |
|   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);
 | |
| 
 | |
|     *start_table = PyMem_Malloc(size * sizeof(int));
 | |
|     *len_table = PyMem_Malloc(size * sizeof(int));
 | |
| 
 | |
|     /* First pass to set starts and len, and calculate size of array needed */
 | |
|     start = 0;
 | |
|     for (i = 0; i < size; i++) {
 | |
|       subseq = value_fast_items[i];
 | |
|       if ((subseq_len = (int)PySequence_Size(subseq)) == -1) {
 | |
|         PyErr_Format(
 | |
|             PyExc_ValueError, "%.200s: sequence expected to have subsequences", error_prefix);
 | |
|         PyMem_Free(*start_table);
 | |
|         PyMem_Free(*len_table);
 | |
|         Py_DECREF(value_fast);
 | |
|         *start_table = NULL;
 | |
|         *len_table = NULL;
 | |
|         return -1;
 | |
|       }
 | |
|       (*start_table)[i] = start;
 | |
|       (*len_table)[i] = subseq_len;
 | |
|       start += subseq_len;
 | |
|     }
 | |
| 
 | |
|     ip = *array = PyMem_Malloc(start * sizeof(int));
 | |
| 
 | |
|     /* Second pass to parse the subsequences into array */
 | |
|     for (i = 0; i < size; i++) {
 | |
|       subseq = value_fast_items[i];
 | |
|       subseq_len = (*len_table)[i];
 | |
| 
 | |
|       if (mathutils_int_array_parse(ip, subseq_len, subseq, error_prefix) == -1) {
 | |
|         PyMem_Free(*array);
 | |
|         PyMem_Free(*start_table);
 | |
|         PyMem_Free(*len_table);
 | |
|         *array = NULL;
 | |
|         *len_table = NULL;
 | |
|         *start_table = NULL;
 | |
|         size = -1;
 | |
|         break;
 | |
|       }
 | |
|       ip += subseq_len;
 | |
|     }
 | |
|   }
 | |
| 
 | |
|   Py_DECREF(value_fast);
 | |
|   return size;
 | |
| }
 | |
| 
 | |
| 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, ((const EulerObject *)value)->eul, ((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, ((const QuaternionObject *)value)->quat);
 | |
|     quat_to_mat3(rmat, tquat);
 | |
|     return 0;
 | |
|   }
 | |
|   if (MatrixObject_Check(value)) {
 | |
|     if (BaseMath_ReadCallback((BaseMathObject *)value) == -1) {
 | |
|       return -1;
 | |
|     }
 | |
|     if (((MatrixObject *)value)->num_row < 3 || ((MatrixObject *)value)->num_col < 3) {
 | |
|       PyErr_Format(
 | |
|           PyExc_ValueError, "%.200s: matrix must have minimum 3x3 dimensions", error_prefix);
 | |
|       return -1;
 | |
|     }
 | |
| 
 | |
|     matrix_as_3x3(rmat, (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 = *(const int *)(&af);
 | |
|   const int bi = *(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
 | |
| /* dynstr as python string utility functions, frees 'ds'! */
 | |
| PyObject *mathutils_dynstr_to_py(struct DynStr *ds)
 | |
| {
 | |
|   const int ds_len = BLI_dynstr_get_len(ds); /* space for \0 */
 | |
|   char *ds_buf = 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] = {NULL};
 | |
| 
 | |
| 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;
 | |
| }
 | |
| 
 | |
| /* use macros to check for NULL */
 | |
| int _BaseMathObject_ReadCallback(BaseMathObject *self)
 | |
| {
 | |
|   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);
 | |
| }
 | |
| 
 | |
| /* BaseMathObject generic functions for all mathutils types */
 | |
| char BaseMathObject_owner_doc[] = "The item this is wrapping or None  (read-only).";
 | |
| PyObject *BaseMathObject_owner_get(BaseMathObject *self, void *UNUSED(closure))
 | |
| {
 | |
|   PyObject *ret = self->cb_user ? self->cb_user : Py_None;
 | |
|   return Py_INCREF_RET(ret);
 | |
| }
 | |
| 
 | |
| char BaseMathObject_is_wrapped_doc[] =
 | |
|     "True when this object wraps external data (read-only).\n\n:type: boolean";
 | |
| PyObject *BaseMathObject_is_wrapped_get(BaseMathObject *self, void *UNUSED(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: boolean";
 | |
| PyObject *BaseMathObject_is_frozen_get(BaseMathObject *self, void *UNUSED(closure))
 | |
| {
 | |
|   return PyBool_FromLong((self->flag & BASE_MATH_FLAG_IS_FROZEN) != 0);
 | |
| }
 | |
| 
 | |
| char BaseMathObject_freeze_doc[] =
 | |
|     ".. function:: 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";
 | |
| PyObject *BaseMathObject_freeze(BaseMathObject *self)
 | |
| {
 | |
|   if ((self->flag & BASE_MATH_FLAG_IS_WRAP) || (self->cb_user != NULL)) {
 | |
|     PyErr_SetString(PyExc_TypeError, "Cannot freeze wrapped/owned data");
 | |
|     return NULL;
 | |
|   }
 | |
| 
 | |
|   self->flag |= BASE_MATH_FLAG_IS_FROZEN;
 | |
| 
 | |
|   return Py_INCREF_RET((PyObject *)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;
 | |
| }
 | |
| 
 | |
| 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) {
 | |
|     PyObject_GC_UnTrack(self);
 | |
|     BaseMathObject_clear(self);
 | |
|   }
 | |
| 
 | |
|   Py_TYPE(self)->tp_free(self);  // PyObject_DEL(self); /* breaks subtypes. */
 | |
| }
 | |
| 
 | |
| /*----------------------------MODULE INIT-------------------------*/
 | |
| static struct PyMethodDef M_Mathutils_methods[] = {
 | |
|     {NULL, NULL, 0, NULL},
 | |
| };
 | |
| 
 | |
| static struct PyModuleDef M_Mathutils_module_def = {
 | |
|     PyModuleDef_HEAD_INIT,
 | |
|     "mathutils",         /* m_name */
 | |
|     M_Mathutils_doc,     /* m_doc */
 | |
|     0,                   /* m_size */
 | |
|     M_Mathutils_methods, /* m_methods */
 | |
|     NULL,                /* m_reload */
 | |
|     NULL,                /* m_traverse */
 | |
|     NULL,                /* m_clear */
 | |
|     NULL,                /* m_free */
 | |
| };
 | |
| 
 | |
| /* submodules only */
 | |
| #include "mathutils_geometry.h"
 | |
| #include "mathutils_interpolate.h"
 | |
| #ifndef MATH_STANDALONE
 | |
| #  include "mathutils_bvhtree.h"
 | |
| #  include "mathutils_kdtree.h"
 | |
| #  include "mathutils_noise.h"
 | |
| #endif
 | |
| 
 | |
| PyMODINIT_FUNC PyInit_mathutils(void)
 | |
| {
 | |
|   PyObject *mod;
 | |
|   PyObject *submodule;
 | |
|   PyObject *sys_modules = PyImport_GetModuleDict();
 | |
| 
 | |
|   if (PyType_Ready(&vector_Type) < 0) {
 | |
|     return NULL;
 | |
|   }
 | |
|   if (PyType_Ready(&matrix_Type) < 0) {
 | |
|     return NULL;
 | |
|   }
 | |
|   if (PyType_Ready(&matrix_access_Type) < 0) {
 | |
|     return NULL;
 | |
|   }
 | |
|   if (PyType_Ready(&euler_Type) < 0) {
 | |
|     return NULL;
 | |
|   }
 | |
|   if (PyType_Ready(&quaternion_Type) < 0) {
 | |
|     return NULL;
 | |
|   }
 | |
|   if (PyType_Ready(&color_Type) < 0) {
 | |
|     return NULL;
 | |
|   }
 | |
| 
 | |
|   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, &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. */
 | |
|   PyDict_SetItem(sys_modules, PyModule_GetNameObject(submodule), 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. */
 | |
|   PyDict_SetItem(sys_modules, PyModule_GetNameObject(submodule), submodule);
 | |
| 
 | |
| #ifndef MATH_STANDALONE
 | |
|   /* Noise submodule */
 | |
|   PyModule_AddObject(mod, "noise", (submodule = PyInit_mathutils_noise()));
 | |
|   PyDict_SetItem(sys_modules, PyModule_GetNameObject(submodule), submodule);
 | |
| 
 | |
|   /* BVHTree submodule */
 | |
|   PyModule_AddObject(mod, "bvhtree", (submodule = PyInit_mathutils_bvhtree()));
 | |
|   PyDict_SetItem(sys_modules, PyModule_GetNameObject(submodule), submodule);
 | |
| 
 | |
|   /* KDTree_3d submodule */
 | |
|   PyModule_AddObject(mod, "kdtree", (submodule = PyInit_mathutils_kdtree()));
 | |
|   PyDict_SetItem(sys_modules, PyModule_GetNameObject(submodule), 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;
 | |
| }
 |