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Diffstat (limited to 'source/blender/python/generic/mathutils_matrix.c')
| -rw-r--r-- | source/blender/python/generic/mathutils_matrix.c | 1505 |
1 files changed, 1505 insertions, 0 deletions
diff --git a/source/blender/python/generic/mathutils_matrix.c b/source/blender/python/generic/mathutils_matrix.c new file mode 100644 index 00000000000..0ce5641b07c --- /dev/null +++ b/source/blender/python/generic/mathutils_matrix.c @@ -0,0 +1,1505 @@ +/* + * $Id$ + * + * ***** BEGIN GPL LICENSE BLOCK ***** + * + * This program is free software; you can redistribute it and/or + * modify it under the terms of the GNU General Public License + * as published by the Free Software Foundation; either version 2 + * of the License, or (at your option) any later version. + * + * 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. + * + * The Original Code is Copyright (C) 2001-2002 by NaN Holding BV. + * All rights reserved. + * + * Contributor(s): Michel Selten & Joseph Gilbert + * + * ***** END GPL LICENSE BLOCK ***** + */ + +#include "mathutils.h" + +#include "BKE_utildefines.h" +#include "BLI_math.h" +#include "BLI_blenlib.h" + +static PyObject *column_vector_multiplication(MatrixObject * mat, VectorObject* vec); /* utility func */ + + +/* matrix vector callbacks */ +int mathutils_matrix_vector_cb_index= -1; + +static int mathutils_matrix_vector_check(PyObject *self_p) +{ + MatrixObject *self= (MatrixObject*)self_p; + return BaseMath_ReadCallback(self); +} + +static int mathutils_matrix_vector_get(PyObject *self_p, int subtype, float *vec_from) +{ + MatrixObject *self= (MatrixObject*)self_p; + int i; + + if(!BaseMath_ReadCallback(self)) + return 0; + + for(i=0; i<self->colSize; i++) + vec_from[i]= self->matrix[subtype][i]; + + return 1; +} + +static int mathutils_matrix_vector_set(PyObject *self_p, int subtype, float *vec_to) +{ + MatrixObject *self= (MatrixObject*)self_p; + int i; + + if(!BaseMath_ReadCallback(self)) + return 0; + + for(i=0; i<self->colSize; i++) + self->matrix[subtype][i]= vec_to[i]; + + BaseMath_WriteCallback(self); + return 1; +} + +static int mathutils_matrix_vector_get_index(PyObject *self_p, int subtype, float *vec_from, int index) +{ + MatrixObject *self= (MatrixObject*)self_p; + + if(!BaseMath_ReadCallback(self)) + return 0; + + vec_from[index]= self->matrix[subtype][index]; + return 1; +} + +static int mathutils_matrix_vector_set_index(PyObject *self_p, int subtype, float *vec_to, int index) +{ + MatrixObject *self= (MatrixObject*)self_p; + + if(!BaseMath_ReadCallback(self)) + return 0; + + self->matrix[subtype][index]= vec_to[index]; + + BaseMath_WriteCallback(self); + return 1; +} + +Mathutils_Callback mathutils_matrix_vector_cb = { + mathutils_matrix_vector_check, + mathutils_matrix_vector_get, + mathutils_matrix_vector_set, + mathutils_matrix_vector_get_index, + mathutils_matrix_vector_set_index +}; +/* matrix vector callbacks, this is so you can do matrix[i][j] = val */ + +//----------------------------------mathutils.Matrix() ----------------- +//mat is a 1D array of floats - row[0][0],row[0][1], row[1][0], etc. +//create a new matrix type +static PyObject *Matrix_new(PyTypeObject *type, PyObject *args, PyObject *kwds) +{ + PyObject *argObject, *m, *s; + MatrixObject *mat; + int argSize, seqSize = 0, i, j; + float matrix[16] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, + 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f}; + float scalar; + + argSize = PyTuple_GET_SIZE(args); + if(argSize > MATRIX_MAX_DIM) { //bad arg nums + PyErr_SetString(PyExc_AttributeError, "mathutils.Matrix(): expects 0-4 numeric sequences of the same size\n"); + return NULL; + } else if (argSize == 0) { //return empty 4D matrix + return (PyObject *) newMatrixObject(NULL, 4, 4, Py_NEW, NULL); + }else if (argSize == 1){ + //copy constructor for matrix objects + argObject = PyTuple_GET_ITEM(args, 0); + if(MatrixObject_Check(argObject)){ + mat = (MatrixObject*)argObject; + if(!BaseMath_ReadCallback(mat)) + return NULL; + + memcpy(matrix, mat->contigPtr, sizeof(float) * mat->rowSize * mat->colSize); + argSize = mat->rowSize; + seqSize = mat->colSize; + } + }else{ //2-4 arguments (all seqs? all same size?) + for(i =0; i < argSize; i++){ + argObject = PyTuple_GET_ITEM(args, i); + if (PySequence_Check(argObject)) { //seq? + if(seqSize){ //0 at first + if(PySequence_Length(argObject) != seqSize){ //seq size not same + PyErr_SetString(PyExc_AttributeError, "mathutils.Matrix(): expects 0-4 numeric sequences of the same size\n"); + return NULL; + } + } + seqSize = PySequence_Length(argObject); + }else{ //arg not a sequence + PyErr_SetString(PyExc_TypeError, "mathutils.Matrix(): expects 0-4 numeric sequences of the same size\n"); + return NULL; + } + } + //all is well... let's continue parsing + for (i = 0; i < argSize; i++){ + m = PyTuple_GET_ITEM(args, i); + if (m == NULL) { // Failed to read sequence + PyErr_SetString(PyExc_RuntimeError, "mathutils.Matrix(): failed to parse arguments...\n"); + return NULL; + } + + for (j = 0; j < seqSize; j++) { + s = PySequence_GetItem(m, j); + if (s == NULL) { // Failed to read sequence + PyErr_SetString(PyExc_RuntimeError, "mathutils.Matrix(): failed to parse arguments...\n"); + return NULL; + } + + scalar= (float)PyFloat_AsDouble(s); + Py_DECREF(s); + + if(scalar==-1 && PyErr_Occurred()) { // parsed item is not a number + PyErr_SetString(PyExc_AttributeError, "mathutils.Matrix(): expects 0-4 numeric sequences of the same size\n"); + return NULL; + } + + matrix[(seqSize*i)+j]= scalar; + } + } + } + return newMatrixObject(matrix, argSize, seqSize, Py_NEW, NULL); +} + +/* assumes rowsize == colsize is checked and the read callback has run */ +static float matrix_determinant(MatrixObject * self) +{ + if(self->rowSize == 2) { + return determinant_m2(self->matrix[0][0], self->matrix[0][1], + self->matrix[1][0], self->matrix[1][1]); + } else if(self->rowSize == 3) { + return determinant_m3(self->matrix[0][0], self->matrix[0][1], + self->matrix[0][2], self->matrix[1][0], + self->matrix[1][1], self->matrix[1][2], + self->matrix[2][0], self->matrix[2][1], + self->matrix[2][2]); + } else { + return determinant_m4((float (*)[4])self->contigPtr); + } +} + + +/*-----------------------------METHODS----------------------------*/ +static char Matrix_toQuat_doc[] = +".. method:: to_quat()\n" +"\n" +" Return a quaternion representation of the rotation matrix.\n" +"\n" +" :return: Quaternion representation of the rotation matrix.\n" +" :rtype: :class:`Quaternion`\n"; + +static PyObject *Matrix_toQuat(MatrixObject * self) +{ + float quat[4]; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + /*must be 3-4 cols, 3-4 rows, square matrix*/ + if(self->colSize < 3 || self->rowSize < 3 || (self->colSize != self->rowSize)) { + PyErr_SetString(PyExc_AttributeError, "Matrix.to_quat(): inappropriate matrix size - expects 3x3 or 4x4 matrix"); + return NULL; + } + if(self->colSize == 3){ + mat3_to_quat( quat,(float (*)[3])self->contigPtr); + }else{ + mat4_to_quat( quat,(float (*)[4])self->contigPtr); + } + + return newQuaternionObject(quat, Py_NEW, NULL); +} + +/*---------------------------Matrix.toEuler() --------------------*/ +static char Matrix_toEuler_doc[] = +".. method:: to_euler(order, euler_compat)\n" +"\n" +" Return an Euler representation of the rotation matrix (3x3 or 4x4 matrix only).\n" +"\n" +" :arg order: Optional rotation order argument in ['XYZ', 'XZY', 'YXZ', 'YZX', 'ZXY', 'ZYX'].\n" +" :type order: string\n" +" :arg euler_compat: Optional euler argument the new euler will be made compatible with (no axis flipping between them). Useful for converting a series of matrices to animation curves.\n" +" :type euler_compat: :class:`Euler`\n" +" :return: Euler representation of the matrix.\n" +" :rtype: :class:`Euler`\n"; + +PyObject *Matrix_toEuler(MatrixObject * self, PyObject *args) +{ + char *order_str= NULL; + short order= 0; + float eul[3], eul_compatf[3]; + EulerObject *eul_compat = NULL; + + float tmat[3][3]; + float (*mat)[3]; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(!PyArg_ParseTuple(args, "|sO!:to_euler", &order_str, &euler_Type, &eul_compat)) + return NULL; + + if(eul_compat) { + if(!BaseMath_ReadCallback(eul_compat)) + return NULL; + + VECCOPY(eul_compatf, eul_compat->eul); + } + + /*must be 3-4 cols, 3-4 rows, square matrix*/ + if(self->colSize ==3 && self->rowSize ==3) { + mat= (float (*)[3])self->contigPtr; + }else if (self->colSize ==4 && self->rowSize ==4) { + copy_m3_m4(tmat, (float (*)[4])self->contigPtr); + mat= tmat; + }else { + PyErr_SetString(PyExc_AttributeError, "Matrix.to_euler(): inappropriate matrix size - expects 3x3 or 4x4 matrix\n"); + return NULL; + } + + if(order_str) { + order= euler_order_from_string(order_str, "Matrix.to_euler()"); + + if(order < 0) + return NULL; + } + + if(eul_compat) { + if(order == 0) mat3_to_compatible_eul( eul, eul_compatf, mat); + else mat3_to_compatible_eulO(eul, eul_compatf, order, mat); + } + else { + if(order == 0) mat3_to_eul(eul, mat); + else mat3_to_eulO(eul, order, mat); + } + + return newEulerObject(eul, order, Py_NEW, NULL); +} +/*---------------------------Matrix.resize4x4() ------------------*/ +static char Matrix_Resize4x4_doc[] = +".. method:: resize4x4()\n" +"\n" +" Resize the matrix to 4x4.\n" +"\n" +" :return: an instance of itself.\n" +" :rtype: :class:`Matrix`\n"; + +PyObject *Matrix_Resize4x4(MatrixObject * self) +{ + int x, first_row_elem, curr_pos, new_pos, blank_columns, blank_rows, index; + + if(self->wrapped==Py_WRAP){ + PyErr_SetString(PyExc_TypeError, "cannot resize wrapped data - make a copy and resize that"); + return NULL; + } + if(self->cb_user){ + PyErr_SetString(PyExc_TypeError, "cannot resize owned data - make a copy and resize that"); + return NULL; + } + + self->contigPtr = PyMem_Realloc(self->contigPtr, (sizeof(float) * 16)); + if(self->contigPtr == NULL) { + PyErr_SetString(PyExc_MemoryError, "matrix.resize4x4(): problem allocating pointer space"); + return NULL; + } + /*set row pointers*/ + for(x = 0; x < 4; x++) { + self->matrix[x] = self->contigPtr + (x * 4); + } + /*move data to new spot in array + clean*/ + for(blank_rows = (4 - self->rowSize); blank_rows > 0; blank_rows--){ + for(x = 0; x < 4; x++){ + index = (4 * (self->rowSize + (blank_rows - 1))) + x; + if (index == 10 || index == 15){ + self->contigPtr[index] = 1.0f; + }else{ + self->contigPtr[index] = 0.0f; + } + } + } + for(x = 1; x <= self->rowSize; x++){ + first_row_elem = (self->colSize * (self->rowSize - x)); + curr_pos = (first_row_elem + (self->colSize -1)); + new_pos = (4 * (self->rowSize - x )) + (curr_pos - first_row_elem); + for(blank_columns = (4 - self->colSize); blank_columns > 0; blank_columns--){ + self->contigPtr[new_pos + blank_columns] = 0.0f; + } + for(curr_pos = curr_pos; curr_pos >= first_row_elem; curr_pos--){ + self->contigPtr[new_pos] = self->contigPtr[curr_pos]; + new_pos--; + } + } + self->rowSize = 4; + self->colSize = 4; + + Py_INCREF(self); + return (PyObject *)self; +} + +static char Matrix_to_4x4_doc[] = +".. method:: to_4x4()\n" +"\n" +" Return a 4x4 copy of this matrix.\n" +"\n" +" :return: a new matrix.\n" +" :rtype: :class:`Matrix`\n"; +PyObject *Matrix_to_4x4(MatrixObject * self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->colSize==4 && self->rowSize==4) { + return (PyObject *)newMatrixObject(self->contigPtr, 4, 4, Py_NEW, Py_TYPE(self)); + } + else if(self->colSize==3 && self->rowSize==3) { + float mat[4][4]; + copy_m4_m3(mat, (float (*)[3])self->contigPtr); + return (PyObject *)newMatrixObject((float *)mat, 4, 4, Py_NEW, Py_TYPE(self)); + } + /* TODO, 2x2 matrix */ + + PyErr_SetString(PyExc_TypeError, "Matrix.to_4x4(): inappropriate matrix size"); + return NULL; +} + +static char Matrix_to_3x3_doc[] = +".. method:: to_3x3()\n" +"\n" +" Return a 3x3 copy of this matrix.\n" +"\n" +" :return: a new matrix.\n" +" :rtype: :class:`Matrix`\n"; +PyObject *Matrix_to_3x3(MatrixObject * self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->colSize==3 && self->rowSize==3) { + return (PyObject *)newMatrixObject(self->contigPtr, 3, 3, Py_NEW, Py_TYPE(self)); + } + else if(self->colSize==4 && self->rowSize==4) { + float mat[3][3]; + copy_m3_m4(mat, (float (*)[4])self->contigPtr); + return (PyObject *)newMatrixObject((float *)mat, 3, 3, Py_NEW, Py_TYPE(self)); + } + /* TODO, 2x2 matrix */ + + PyErr_SetString(PyExc_TypeError, "Matrix.to_3x3(): inappropriate matrix size"); + return NULL; +} + +/*---------------------------Matrix.translationPart() ------------*/ +static char Matrix_TranslationPart_doc[] = +".. method:: translation_part()\n" +"\n" +" Return a the translation part of a 4 row matrix.\n" +"\n" +" :return: Return a the translation of a matrix.\n" +" :rtype: :class:`Matrix`\n" +"\n" +" .. note:: Note that the (4,4) element of a matrix can be used for uniform scaling too.\n"; + +PyObject *Matrix_TranslationPart(MatrixObject * self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->colSize < 3 || self->rowSize < 4){ + PyErr_SetString(PyExc_AttributeError, "Matrix.translation_part(): inappropriate matrix size"); + return NULL; + } + + return newVectorObject(self->matrix[3], 3, Py_NEW, NULL); +} +/*---------------------------Matrix.rotationPart() ---------------*/ +static char Matrix_RotationPart_doc[] = +".. method:: rotation_part()\n" +"\n" +" Return the 3d submatrix corresponding to the linear term of the embedded affine transformation in 3d. This matrix represents rotation and scale.\n" +"\n" +" :return: Return the 3d matrix for rotation and scale.\n" +" :rtype: :class:`Matrix`\n" +"\n" +" .. note:: Note that the (4,4) element of a matrix can be used for uniform scaling too.\n"; + +PyObject *Matrix_RotationPart(MatrixObject * self) +{ + float mat[16] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, + 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f}; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->colSize < 3 || self->rowSize < 3){ + PyErr_SetString(PyExc_AttributeError, "Matrix.rotation_part(): inappropriate matrix size\n"); + return NULL; + } + + mat[0] = self->matrix[0][0]; + mat[1] = self->matrix[0][1]; + mat[2] = self->matrix[0][2]; + mat[3] = self->matrix[1][0]; + mat[4] = self->matrix[1][1]; + mat[5] = self->matrix[1][2]; + mat[6] = self->matrix[2][0]; + mat[7] = self->matrix[2][1]; + mat[8] = self->matrix[2][2]; + + return newMatrixObject(mat, 3, 3, Py_NEW, Py_TYPE(self)); +} +/*---------------------------Matrix.scalePart() --------------------*/ +static char Matrix_scalePart_doc[] = +".. method:: scale_part()\n" +"\n" +" Return a the scale part of a 3x3 or 4x4 matrix.\n" +"\n" +" :return: Return a the scale of a matrix.\n" +" :rtype: :class:`Vector`\n" +"\n" +" .. note:: This method does not return negative a scale on any axis because it is not possible to obtain this data from the matrix alone.\n"; + +PyObject *Matrix_scalePart(MatrixObject * self) +{ + float scale[3], rot[3]; + float mat[3][3], imat[3][3], tmat[3][3]; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + /*must be 3-4 cols, 3-4 rows, square matrix*/ + if(self->colSize == 4 && self->rowSize == 4) + copy_m3_m4(mat, (float (*)[4])self->contigPtr); + else if(self->colSize == 3 && self->rowSize == 3) + copy_m3_m3(mat, (float (*)[3])self->contigPtr); + else { + PyErr_SetString(PyExc_AttributeError, "Matrix.scale_part(): inappropriate matrix size - expects 3x3 or 4x4 matrix\n"); + return NULL; + } + /* functionality copied from editobject.c apply_obmat */ + mat3_to_eul( rot,mat); + eul_to_mat3( tmat,rot); + invert_m3_m3(imat, tmat); + mul_m3_m3m3(tmat, imat, mat); + + scale[0]= tmat[0][0]; + scale[1]= tmat[1][1]; + scale[2]= tmat[2][2]; + return newVectorObject(scale, 3, Py_NEW, NULL); +} +/*---------------------------Matrix.invert() ---------------------*/ +static char Matrix_Invert_doc[] = +".. method:: invert()\n" +"\n" +" Set the matrix to its inverse.\n" +"\n" +" :return: an instance of itself.\n" +" :rtype: :class:`Matrix`\n" +"\n" +" .. note:: :exc:`ValueError` exception is raised.\n" +"\n" +" .. seealso:: <http://en.wikipedia.org/wiki/Inverse_matrix>\n"; + +PyObject *Matrix_Invert(MatrixObject * self) +{ + + int x, y, z = 0; + float det = 0.0f; + float mat[16] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, + 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f}; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->rowSize != self->colSize){ + PyErr_SetString(PyExc_AttributeError, "Matrix.invert(ed): only square matrices are supported"); + return NULL; + } + + /*calculate the determinant*/ + det = matrix_determinant(self); + + if(det != 0) { + /*calculate the classical adjoint*/ + if(self->rowSize == 2) { + mat[0] = self->matrix[1][1]; + mat[1] = -self->matrix[0][1]; + mat[2] = -self->matrix[1][0]; + mat[3] = self->matrix[0][0]; + } else if(self->rowSize == 3) { + adjoint_m3_m3((float (*)[3]) mat,(float (*)[3])self->contigPtr); + } else if(self->rowSize == 4) { + adjoint_m4_m4((float (*)[4]) mat, (float (*)[4])self->contigPtr); + } + /*divide by determinate*/ + for(x = 0; x < (self->rowSize * self->colSize); x++) { + mat[x] /= det; + } + /*set values*/ + for(x = 0; x < self->rowSize; x++) { + for(y = 0; y < self->colSize; y++) { + self->matrix[x][y] = mat[z]; + z++; + } + } + /*transpose + Matrix_Transpose(self);*/ + } else { + PyErr_SetString(PyExc_ValueError, "matrix does not have an inverse"); + return NULL; + } + + BaseMath_WriteCallback(self); + Py_INCREF(self); + return (PyObject *)self; +} + + +/*---------------------------Matrix.determinant() ----------------*/ +static char Matrix_Determinant_doc[] = +".. method:: determinant()\n" +"\n" +" Return the determinant of a matrix.\n" +"\n" +" :return: Return a the determinant of a matrix.\n" +" :rtype: float\n" +"\n" +" .. seealso:: <http://en.wikipedia.org/wiki/Determinant>\n"; + +PyObject *Matrix_Determinant(MatrixObject * self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->rowSize != self->colSize){ + PyErr_SetString(PyExc_AttributeError, "Matrix.determinant: only square matrices are supported"); + return NULL; + } + + return PyFloat_FromDouble((double)matrix_determinant(self)); +} +/*---------------------------Matrix.transpose() ------------------*/ +static char Matrix_Transpose_doc[] = +".. method:: transpose()\n" +"\n" +" Set the matrix to its transpose.\n" +"\n" +" :return: an instance of itself\n" +" :rtype: :class:`Matrix`\n" +"\n" +" .. seealso:: <http://en.wikipedia.org/wiki/Transpose>\n"; + +PyObject *Matrix_Transpose(MatrixObject * self) +{ + float t = 0.0f; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->rowSize != self->colSize){ + PyErr_SetString(PyExc_AttributeError, "Matrix.transpose(d): only square matrices are supported"); + return NULL; + } + + if(self->rowSize == 2) { + t = self->matrix[1][0]; + self->matrix[1][0] = self->matrix[0][1]; + self->matrix[0][1] = t; + } else if(self->rowSize == 3) { + transpose_m3((float (*)[3])self->contigPtr); + } else { + transpose_m4((float (*)[4])self->contigPtr); + } + + BaseMath_WriteCallback(self); + Py_INCREF(self); + return (PyObject *)self; +} + + +/*---------------------------Matrix.zero() -----------------------*/ +static char Matrix_Zero_doc[] = +".. method:: zero()\n" +"\n" +" Set all the matrix values to zero.\n" +"\n" +" :return: an instance of itself\n" +" :rtype: :class:`Matrix`\n"; + +PyObject *Matrix_Zero(MatrixObject * self) +{ + int row, col; + + for(row = 0; row < self->rowSize; row++) { + for(col = 0; col < self->colSize; col++) { + self->matrix[row][col] = 0.0f; + } + } + + if(!BaseMath_WriteCallback(self)) + return NULL; + + Py_INCREF(self); + return (PyObject *)self; +} +/*---------------------------Matrix.identity(() ------------------*/ +static char Matrix_Identity_doc[] = +".. method:: identity()\n" +"\n" +" Set the matrix to the identity matrix.\n" +"\n" +" :return: an instance of itself\n" +" :rtype: :class:`Matrix`\n" +"\n" +" .. note:: An object with zero location and rotation, a scale of one, will have an identity matrix.\n" +"\n" +" .. seealso:: <http://en.wikipedia.org/wiki/Identity_matrix>\n"; + +PyObject *Matrix_Identity(MatrixObject * self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(self->rowSize != self->colSize){ + PyErr_SetString(PyExc_AttributeError, "Matrix.identity: only square matrices are supported\n"); + return NULL; + } + + if(self->rowSize == 2) { + self->matrix[0][0] = 1.0f; + self->matrix[0][1] = 0.0f; + self->matrix[1][0] = 0.0f; + self->matrix[1][1] = 1.0f; + } else if(self->rowSize == 3) { + unit_m3((float (*)[3])self->contigPtr); + } else { + unit_m4((float (*)[4])self->contigPtr); + } + + if(!BaseMath_WriteCallback(self)) + return NULL; + + Py_INCREF(self); + return (PyObject *)self; +} + +/*---------------------------Matrix.copy() ------------------*/ +static char Matrix_copy_doc[] = +".. method:: copy()\n" +"\n" +" Returns a copy of this matrix.\n" +"\n" +" :return: an instance of itself\n" +" :rtype: :class:`Matrix`\n"; + +PyObject *Matrix_copy(MatrixObject * self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + return (PyObject*)newMatrixObject((float (*))self->contigPtr, self->rowSize, self->colSize, Py_NEW, Py_TYPE(self)); +} + +/*----------------------------print object (internal)-------------*/ +/*print the object to screen*/ +static PyObject *Matrix_repr(MatrixObject * self) +{ + int x, y; + char buffer[48], str[1024]; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + BLI_strncpy(str,"",1024); + for(x = 0; x < self->colSize; x++){ + sprintf(buffer, "["); + strcat(str,buffer); + for(y = 0; y < (self->rowSize - 1); y++) { + sprintf(buffer, "%.6f, ", self->matrix[y][x]); + strcat(str,buffer); + } + if(x < (self->colSize-1)){ + sprintf(buffer, "%.6f](matrix [row %d])\n", self->matrix[y][x], x); + strcat(str,buffer); + }else{ + sprintf(buffer, "%.6f](matrix [row %d])", self->matrix[y][x], x); + strcat(str,buffer); + } + } + + return PyUnicode_FromString(str); +} +/*------------------------tp_richcmpr*/ +/*returns -1 execption, 0 false, 1 true*/ +static PyObject* Matrix_richcmpr(PyObject *objectA, PyObject *objectB, int comparison_type) +{ + MatrixObject *matA = NULL, *matB = NULL; + int result = 0; + + if (!MatrixObject_Check(objectA) || !MatrixObject_Check(objectB)){ + if (comparison_type == Py_NE){ + Py_RETURN_TRUE; + }else{ + Py_RETURN_FALSE; + } + } + matA = (MatrixObject*)objectA; + matB = (MatrixObject*)objectB; + + if(!BaseMath_ReadCallback(matA) || !BaseMath_ReadCallback(matB)) + return NULL; + + if (matA->colSize != matB->colSize || matA->rowSize != matB->rowSize){ + if (comparison_type == Py_NE){ + Py_RETURN_TRUE; + }else{ + Py_RETURN_FALSE; + } + } + + switch (comparison_type){ + case Py_EQ: + /*contigPtr is basically a really long vector*/ + result = EXPP_VectorsAreEqual(matA->contigPtr, matB->contigPtr, + (matA->rowSize * matA->colSize), 1); + break; + case Py_NE: + result = EXPP_VectorsAreEqual(matA->contigPtr, matB->contigPtr, + (matA->rowSize * matA->colSize), 1); + if (result == 0){ + result = 1; + }else{ + result = 0; + } + break; + default: + printf("The result of the comparison could not be evaluated"); + break; + } + if (result == 1){ + Py_RETURN_TRUE; + }else{ + Py_RETURN_FALSE; + } +} + +/*---------------------SEQUENCE PROTOCOLS------------------------ + ----------------------------len(object)------------------------ + sequence length*/ +static int Matrix_len(MatrixObject * self) +{ + return (self->rowSize); +} +/*----------------------------object[]--------------------------- + sequence accessor (get) + the wrapped vector gives direct access to the matrix data*/ +static PyObject *Matrix_item(MatrixObject * self, int i) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + if(i < 0 || i >= self->rowSize) { + PyErr_SetString(PyExc_IndexError, "matrix[attribute]: array index out of range"); + return NULL; + } + return newVectorObject_cb((PyObject *)self, self->colSize, mathutils_matrix_vector_cb_index, i); +} +/*----------------------------object[]------------------------- + sequence accessor (set)*/ +static int Matrix_ass_item(MatrixObject * self, int i, PyObject * ob) +{ + int y, x, size = 0; + float vec[4]; + PyObject *m, *f; + + if(!BaseMath_ReadCallback(self)) + return -1; + + if(i >= self->rowSize || i < 0){ + PyErr_SetString(PyExc_TypeError, "matrix[attribute] = x: bad column\n"); + return -1; + } + + if(PySequence_Check(ob)){ + size = PySequence_Length(ob); + if(size != self->colSize){ + PyErr_SetString(PyExc_TypeError, "matrix[attribute] = x: bad sequence size\n"); + return -1; + } + for (x = 0; x < size; x++) { + m = PySequence_GetItem(ob, x); + if (m == NULL) { /*Failed to read sequence*/ + PyErr_SetString(PyExc_RuntimeError, "matrix[attribute] = x: unable to read sequence\n"); + return -1; + } + + f = PyNumber_Float(m); + if(f == NULL) { /*parsed item not a number*/ + Py_DECREF(m); + PyErr_SetString(PyExc_TypeError, "matrix[attribute] = x: sequence argument not a number\n"); + return -1; + } + + vec[x] = (float)PyFloat_AS_DOUBLE(f); + Py_DECREF(m); + Py_DECREF(f); + } + /*parsed well - now set in matrix*/ + for(y = 0; y < size; y++){ + self->matrix[i][y] = vec[y]; + } + + BaseMath_WriteCallback(self); + return 0; + }else{ + PyErr_SetString(PyExc_TypeError, "matrix[attribute] = x: expects a sequence of column size\n"); + return -1; + } +} +/*----------------------------object[z:y]------------------------ + sequence slice (get)*/ +static PyObject *Matrix_slice(MatrixObject * self, int begin, int end) +{ + + PyObject *list = NULL; + int count; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + CLAMP(begin, 0, self->rowSize); + CLAMP(end, 0, self->rowSize); + begin = MIN2(begin,end); + + list = PyList_New(end - begin); + for(count = begin; count < end; count++) { + PyList_SetItem(list, count - begin, + newVectorObject_cb((PyObject *)self, self->colSize, mathutils_matrix_vector_cb_index, count)); + + } + + return list; +} +/*----------------------------object[z:y]------------------------ + sequence slice (set)*/ +static int Matrix_ass_slice(MatrixObject * self, int begin, int end, PyObject * seq) +{ + int i, x, y, size, sub_size = 0; + float mat[16], f; + PyObject *subseq; + PyObject *m; + + if(!BaseMath_ReadCallback(self)) + return -1; + + CLAMP(begin, 0, self->rowSize); + CLAMP(end, 0, self->rowSize); + begin = MIN2(begin,end); + + if(PySequence_Check(seq)){ + size = PySequence_Length(seq); + if(size != (end - begin)){ + PyErr_SetString(PyExc_TypeError, "matrix[begin:end] = []: size mismatch in slice assignment\n"); + return -1; + } + /*parse sub items*/ + for (i = 0; i < size; i++) { + /*parse each sub sequence*/ + subseq = PySequence_GetItem(seq, i); + if (subseq == NULL) { /*Failed to read sequence*/ + PyErr_SetString(PyExc_RuntimeError, "matrix[begin:end] = []: unable to read sequence"); + return -1; + } + + if(PySequence_Check(subseq)){ + /*subsequence is also a sequence*/ + sub_size = PySequence_Length(subseq); + if(sub_size != self->colSize){ + Py_DECREF(subseq); + PyErr_SetString(PyExc_TypeError, "matrix[begin:end] = []: size mismatch in slice assignment\n"); + return -1; + } + for (y = 0; y < sub_size; y++) { + m = PySequence_GetItem(subseq, y); + if (m == NULL) { /*Failed to read sequence*/ + Py_DECREF(subseq); + PyErr_SetString(PyExc_RuntimeError, "matrix[begin:end] = []: unable to read sequence\n"); + return -1; + } + + f = PyFloat_AsDouble(m); /* faster to assume a float and raise an error after */ + if(f == -1 && PyErr_Occurred()) { /*parsed item not a number*/ + Py_DECREF(m); + Py_DECREF(subseq); + PyErr_SetString(PyExc_TypeError, "matrix[begin:end] = []: sequence argument not a number\n"); + return -1; + } + + mat[(i * self->colSize) + y] = f; + Py_DECREF(m); + } + }else{ + Py_DECREF(subseq); + PyErr_SetString(PyExc_TypeError, "matrix[begin:end] = []: illegal argument type for built-in operation\n"); + return -1; + } + Py_DECREF(subseq); + } + /*parsed well - now set in matrix*/ + for(x = 0; x < (size * sub_size); x++){ + self->matrix[begin + (int)floor(x / self->colSize)][x % self->colSize] = mat[x]; + } + + BaseMath_WriteCallback(self); + return 0; + }else{ + PyErr_SetString(PyExc_TypeError, "matrix[begin:end] = []: illegal argument type for built-in operation\n"); + return -1; + } +} +/*------------------------NUMERIC PROTOCOLS---------------------- + ------------------------obj + obj------------------------------*/ +static PyObject *Matrix_add(PyObject * m1, PyObject * m2) +{ + int x, y; + float mat[16] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, + 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f}; + MatrixObject *mat1 = NULL, *mat2 = NULL; + + mat1 = (MatrixObject*)m1; + mat2 = (MatrixObject*)m2; + + if(!MatrixObject_Check(m1) || !MatrixObject_Check(m2)) { + PyErr_SetString(PyExc_AttributeError, "Matrix addition: arguments not valid for this operation...."); + return NULL; + } + + if(!BaseMath_ReadCallback(mat1) || !BaseMath_ReadCallback(mat2)) + return NULL; + + if(mat1->rowSize != mat2->rowSize || mat1->colSize != mat2->colSize){ + PyErr_SetString(PyExc_AttributeError, "Matrix addition: matrices must have the same dimensions for this operation"); + return NULL; + } + + for(x = 0; x < mat1->rowSize; x++) { + for(y = 0; y < mat1->colSize; y++) { + mat[((x * mat1->colSize) + y)] = mat1->matrix[x][y] + mat2->matrix[x][y]; + } + } + + return newMatrixObject(mat, mat1->rowSize, mat1->colSize, Py_NEW, NULL); +} +/*------------------------obj - obj------------------------------ + subtraction*/ +static PyObject *Matrix_sub(PyObject * m1, PyObject * m2) +{ + int x, y; + float mat[16] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, + 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f}; + MatrixObject *mat1 = NULL, *mat2 = NULL; + + mat1 = (MatrixObject*)m1; + mat2 = (MatrixObject*)m2; + + if(!MatrixObject_Check(m1) || !MatrixObject_Check(m2)) { + PyErr_SetString(PyExc_AttributeError, "Matrix addition: arguments not valid for this operation...."); + return NULL; + } + + if(!BaseMath_ReadCallback(mat1) || !BaseMath_ReadCallback(mat2)) + return NULL; + + if(mat1->rowSize != mat2->rowSize || mat1->colSize != mat2->colSize){ + PyErr_SetString(PyExc_AttributeError, "Matrix addition: matrices must have the same dimensions for this operation"); + return NULL; + } + + for(x = 0; x < mat1->rowSize; x++) { + for(y = 0; y < mat1->colSize; y++) { + mat[((x * mat1->colSize) + y)] = mat1->matrix[x][y] - mat2->matrix[x][y]; + } + } + + return newMatrixObject(mat, mat1->rowSize, mat1->colSize, Py_NEW, NULL); +} +/*------------------------obj * obj------------------------------ + mulplication*/ +static PyObject *Matrix_mul(PyObject * m1, PyObject * m2) +{ + int x, y, z; + float scalar; + float mat[16] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, + 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 1.0f}; + double dot = 0.0f; + MatrixObject *mat1 = NULL, *mat2 = NULL; + + if(MatrixObject_Check(m1)) { + mat1 = (MatrixObject*)m1; + if(!BaseMath_ReadCallback(mat1)) + return NULL; + } + if(MatrixObject_Check(m2)) { + mat2 = (MatrixObject*)m2; + if(!BaseMath_ReadCallback(mat2)) + return NULL; + } + + if(mat1 && mat2) { /*MATRIX * MATRIX*/ + if(mat1->rowSize != mat2->colSize){ + PyErr_SetString(PyExc_AttributeError,"Matrix multiplication: matrix A rowsize must equal matrix B colsize"); + return NULL; + } + for(x = 0; x < mat2->rowSize; x++) { + for(y = 0; y < mat1->colSize; y++) { + for(z = 0; z < mat1->rowSize; z++) { + dot += (mat1->matrix[z][y] * mat2->matrix[x][z]); + } + mat[((x * mat1->colSize) + y)] = (float)dot; + dot = 0.0f; + } + } + + return newMatrixObject(mat, mat2->rowSize, mat1->colSize, Py_NEW, NULL); + } + + if(mat1==NULL){ + scalar=PyFloat_AsDouble(m1); // may not be a float... + if ((scalar == -1.0 && PyErr_Occurred())==0) { /*FLOAT/INT * MATRIX, this line annoys theeth, lets see if he finds it */ + for(x = 0; x < mat2->rowSize; x++) { + for(y = 0; y < mat2->colSize; y++) { + mat[((x * mat2->colSize) + y)] = scalar * mat2->matrix[x][y]; + } + } + return newMatrixObject(mat, mat2->rowSize, mat2->colSize, Py_NEW, NULL); + } + + PyErr_SetString(PyExc_TypeError, "Matrix multiplication: arguments not acceptable for this operation"); + return NULL; + } + else /* if(mat1) { */ { + + if(VectorObject_Check(m2)) { /* MATRIX*VECTOR */ + return column_vector_multiplication(mat1, (VectorObject *)m2); /* vector update done inside the function */ + } + else { + scalar= PyFloat_AsDouble(m2); + if ((scalar == -1.0 && PyErr_Occurred())==0) { /* MATRIX*FLOAT/INT */ + for(x = 0; x < mat1->rowSize; x++) { + for(y = 0; y < mat1->colSize; y++) { + mat[((x * mat1->colSize) + y)] = scalar * mat1->matrix[x][y]; + } + } + return newMatrixObject(mat, mat1->rowSize, mat1->colSize, Py_NEW, NULL); + } + } + PyErr_SetString(PyExc_TypeError, "Matrix multiplication: arguments not acceptable for this operation"); + return NULL; + } + + PyErr_SetString(PyExc_TypeError, "Matrix multiplication: arguments not acceptable for this operation\n"); + return NULL; +} +static PyObject* Matrix_inv(MatrixObject *self) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + return Matrix_Invert(self); +} + +/*-----------------PROTOCOL DECLARATIONS--------------------------*/ +static PySequenceMethods Matrix_SeqMethods = { + (lenfunc) Matrix_len, /* sq_length */ + (binaryfunc) 0, /* sq_concat */ + (ssizeargfunc) 0, /* sq_repeat */ + (ssizeargfunc) Matrix_item, /* sq_item */ + (ssizessizeargfunc) Matrix_slice, /* sq_slice */ + (ssizeobjargproc) Matrix_ass_item, /* sq_ass_item */ + (ssizessizeobjargproc) Matrix_ass_slice, /* sq_ass_slice */ +}; + + +static PyObject *Matrix_subscript(MatrixObject* self, PyObject* item) +{ + if (PyIndex_Check(item)) { + Py_ssize_t i; + i = PyNumber_AsSsize_t(item, PyExc_IndexError); + if (i == -1 && PyErr_Occurred()) + return NULL; + if (i < 0) + i += self->rowSize; + return Matrix_item(self, i); + } else if (PySlice_Check(item)) { + Py_ssize_t start, stop, step, slicelength; + + if (PySlice_GetIndicesEx((PySliceObject*)item, self->rowSize, &start, &stop, &step, &slicelength) < 0) + return NULL; + + if (slicelength <= 0) { + return PyList_New(0); + } + else if (step == 1) { + return Matrix_slice(self, start, stop); + } + else { + PyErr_SetString(PyExc_TypeError, "slice steps not supported with matricies"); + return NULL; + } + } + else { + PyErr_Format(PyExc_TypeError, + "vector indices must be integers, not %.200s", + item->ob_type->tp_name); + return NULL; + } +} + +static int Matrix_ass_subscript(MatrixObject* self, PyObject* item, PyObject* value) +{ + if (PyIndex_Check(item)) { + Py_ssize_t i = PyNumber_AsSsize_t(item, PyExc_IndexError); + if (i == -1 && PyErr_Occurred()) + return -1; + if (i < 0) + i += self->rowSize; + return Matrix_ass_item(self, i, value); + } + else if (PySlice_Check(item)) { + Py_ssize_t start, stop, step, slicelength; + + if (PySlice_GetIndicesEx((PySliceObject*)item, self->rowSize, &start, &stop, &step, &slicelength) < 0) + return -1; + + if (step == 1) + return Matrix_ass_slice(self, start, stop, value); + else { + PyErr_SetString(PyExc_TypeError, "slice steps not supported with matricies"); + return -1; + } + } + else { + PyErr_Format(PyExc_TypeError, + "matrix indices must be integers, not %.200s", + item->ob_type->tp_name); + return -1; + } +} + +static PyMappingMethods Matrix_AsMapping = { + (lenfunc)Matrix_len, + (binaryfunc)Matrix_subscript, + (objobjargproc)Matrix_ass_subscript +}; + + +static PyNumberMethods Matrix_NumMethods = { + (binaryfunc) Matrix_add, /*nb_add*/ + (binaryfunc) Matrix_sub, /*nb_subtract*/ + (binaryfunc) Matrix_mul, /*nb_multiply*/ + 0, /*nb_remainder*/ + 0, /*nb_divmod*/ + 0, /*nb_power*/ + (unaryfunc) 0, /*nb_negative*/ + (unaryfunc) 0, /*tp_positive*/ + (unaryfunc) 0, /*tp_absolute*/ + (inquiry) 0, /*tp_bool*/ + (unaryfunc) Matrix_inv, /*nb_invert*/ + 0, /*nb_lshift*/ + (binaryfunc)0, /*nb_rshift*/ + 0, /*nb_and*/ + 0, /*nb_xor*/ + 0, /*nb_or*/ + 0, /*nb_int*/ + 0, /*nb_reserved*/ + 0, /*nb_float*/ + 0, /* nb_inplace_add */ + 0, /* nb_inplace_subtract */ + 0, /* nb_inplace_multiply */ + 0, /* nb_inplace_remainder */ + 0, /* nb_inplace_power */ + 0, /* nb_inplace_lshift */ + 0, /* nb_inplace_rshift */ + 0, /* nb_inplace_and */ + 0, /* nb_inplace_xor */ + 0, /* nb_inplace_or */ + 0, /* nb_floor_divide */ + 0, /* nb_true_divide */ + 0, /* nb_inplace_floor_divide */ + 0, /* nb_inplace_true_divide */ + 0, /* nb_index */ +}; + +static PyObject *Matrix_getRowSize( MatrixObject * self, void *type ) +{ + return PyLong_FromLong((long) self->rowSize); +} + +static PyObject *Matrix_getColSize( MatrixObject * self, void *type ) +{ + return PyLong_FromLong((long) self->colSize); +} + +static PyObject *Matrix_getMedianScale( MatrixObject * self, void *type ) +{ + float mat[3][3]; + + if(!BaseMath_ReadCallback(self)) + return NULL; + + /*must be 3-4 cols, 3-4 rows, square matrix*/ + if(self->colSize == 4 && self->rowSize == 4) + copy_m3_m4(mat, (float (*)[4])self->contigPtr); + else if(self->colSize == 3 && self->rowSize == 3) + copy_m3_m3(mat, (float (*)[3])self->contigPtr); + else { + PyErr_SetString(PyExc_AttributeError, "Matrix.median_scale: inappropriate matrix size - expects 3x3 or 4x4 matrix\n"); + return NULL; + } + + return PyFloat_FromDouble(mat3_to_scale(mat)); +} + +static PyObject *Matrix_getIsNegative( MatrixObject * self, void *type ) +{ + if(!BaseMath_ReadCallback(self)) + return NULL; + + /*must be 3-4 cols, 3-4 rows, square matrix*/ + if(self->colSize == 4 && self->rowSize == 4) + return PyBool_FromLong(is_negative_m4((float (*)[4])self->contigPtr)); + else if(self->colSize == 3 && self->rowSize == 3) + return PyBool_FromLong(is_negative_m3((float (*)[3])self->contigPtr)); + else { + PyErr_SetString(PyExc_AttributeError, "Matrix.is_negative: inappropriate matrix size - expects 3x3 or 4x4 matrix\n"); + return NULL; + } +} + + +/*****************************************************************************/ +/* Python attributes get/set structure: */ +/*****************************************************************************/ +static PyGetSetDef Matrix_getseters[] = { + {"row_size", (getter)Matrix_getRowSize, (setter)NULL, "The row size of the matrix (readonly). **type** int", NULL}, + {"col_size", (getter)Matrix_getColSize, (setter)NULL, "The column size of the matrix (readonly). **type** int", NULL}, + {"median_scale", (getter)Matrix_getMedianScale, (setter)NULL, "The average scale applied to each axis (readonly). **type** float", NULL}, + {"is_negative", (getter)Matrix_getIsNegative, (setter)NULL, "True if this matrix results in a negative scale, 3x3 and 4x4 only, (readonly). **type** bool", NULL}, + {"is_wrapped", (getter)BaseMathObject_getWrapped, (setter)NULL, BaseMathObject_Wrapped_doc, NULL}, + {"_owner",(getter)BaseMathObject_getOwner, (setter)NULL, BaseMathObject_Owner_doc, NULL}, + {NULL,NULL,NULL,NULL,NULL} /* Sentinel */ +}; + +/*-----------------------METHOD DEFINITIONS ----------------------*/ +static struct PyMethodDef Matrix_methods[] = { + {"zero", (PyCFunction) Matrix_Zero, METH_NOARGS, Matrix_Zero_doc}, + {"identity", (PyCFunction) Matrix_Identity, METH_NOARGS, Matrix_Identity_doc}, + {"transpose", (PyCFunction) Matrix_Transpose, METH_NOARGS, Matrix_Transpose_doc}, + {"determinant", (PyCFunction) Matrix_Determinant, METH_NOARGS, Matrix_Determinant_doc}, + {"invert", (PyCFunction) Matrix_Invert, METH_NOARGS, Matrix_Invert_doc}, + {"translation_part", (PyCFunction) Matrix_TranslationPart, METH_NOARGS, Matrix_TranslationPart_doc}, + {"rotation_part", (PyCFunction) Matrix_RotationPart, METH_NOARGS, Matrix_RotationPart_doc}, + {"scale_part", (PyCFunction) Matrix_scalePart, METH_NOARGS, Matrix_scalePart_doc}, + {"resize4x4", (PyCFunction) Matrix_Resize4x4, METH_NOARGS, Matrix_Resize4x4_doc}, + {"to_4x4", (PyCFunction) Matrix_to_4x4, METH_NOARGS, Matrix_to_4x4_doc}, + {"to_3x3", (PyCFunction) Matrix_to_3x3, METH_NOARGS, Matrix_to_3x3_doc}, + {"to_euler", (PyCFunction) Matrix_toEuler, METH_VARARGS, Matrix_toEuler_doc}, + {"to_quat", (PyCFunction) Matrix_toQuat, METH_NOARGS, Matrix_toQuat_doc}, + {"copy", (PyCFunction) Matrix_copy, METH_NOARGS, Matrix_copy_doc}, + {"__copy__", (PyCFunction) Matrix_copy, METH_NOARGS, Matrix_copy_doc}, + {NULL, NULL, 0, NULL} +}; + +/*------------------PY_OBECT DEFINITION--------------------------*/ +static char matrix_doc[] = +"This object gives access to Matrices in Blender."; + +PyTypeObject matrix_Type = { + PyVarObject_HEAD_INIT(NULL, 0) + "matrix", /*tp_name*/ + sizeof(MatrixObject), /*tp_basicsize*/ + 0, /*tp_itemsize*/ + (destructor)BaseMathObject_dealloc, /*tp_dealloc*/ + 0, /*tp_print*/ + 0, /*tp_getattr*/ + 0, /*tp_setattr*/ + 0, /*tp_compare*/ + (reprfunc) Matrix_repr, /*tp_repr*/ + &Matrix_NumMethods, /*tp_as_number*/ + &Matrix_SeqMethods, /*tp_as_sequence*/ + &Matrix_AsMapping, /*tp_as_mapping*/ + 0, /*tp_hash*/ + 0, /*tp_call*/ + 0, /*tp_str*/ + 0, /*tp_getattro*/ + 0, /*tp_setattro*/ + 0, /*tp_as_buffer*/ + Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /*tp_flags*/ + matrix_doc, /*tp_doc*/ + 0, /*tp_traverse*/ + 0, /*tp_clear*/ + (richcmpfunc)Matrix_richcmpr, /*tp_richcompare*/ + 0, /*tp_weaklistoffset*/ + 0, /*tp_iter*/ + 0, /*tp_iternext*/ + Matrix_methods, /*tp_methods*/ + 0, /*tp_members*/ + Matrix_getseters, /*tp_getset*/ + 0, /*tp_base*/ + 0, /*tp_dict*/ + 0, /*tp_descr_get*/ + 0, /*tp_descr_set*/ + 0, /*tp_dictoffset*/ + 0, /*tp_init*/ + 0, /*tp_alloc*/ + Matrix_new, /*tp_new*/ + 0, /*tp_free*/ + 0, /*tp_is_gc*/ + 0, /*tp_bases*/ + 0, /*tp_mro*/ + 0, /*tp_cache*/ + 0, /*tp_subclasses*/ + 0, /*tp_weaklist*/ + 0 /*tp_del*/ +}; + +/*------------------------newMatrixObject (internal)------------- +creates a new matrix object +self->matrix self->contiguous_ptr (reference to data.xxx) + [0]------------->[0] + [1] + [2] + [1]------------->[3] + [4] + [5] + .... +self->matrix[1][1] = self->contigPtr[4] */ + +/*pass Py_WRAP - if vector is a WRAPPER for data allocated by BLENDER + (i.e. it was allocated elsewhere by MEM_mallocN()) + pass Py_NEW - if vector is not a WRAPPER and managed by PYTHON + (i.e. it must be created here with PyMEM_malloc())*/ +PyObject *newMatrixObject(float *mat, int rowSize, int colSize, int type, PyTypeObject *base_type) +{ + MatrixObject *self; + int x, row, col; + + /*matrix objects can be any 2-4row x 2-4col matrix*/ + if(rowSize < 2 || rowSize > 4 || colSize < 2 || colSize > 4){ + PyErr_SetString(PyExc_RuntimeError, "matrix(): row and column sizes must be between 2 and 4"); + return NULL; + } + + if(base_type) self = (MatrixObject *)base_type->tp_alloc(base_type, 0); + else self = PyObject_NEW(MatrixObject, &matrix_Type); + + self->rowSize = rowSize; + self->colSize = colSize; + + /* init callbacks as NULL */ + self->cb_user= NULL; + self->cb_type= self->cb_subtype= 0; + + if(type == Py_WRAP){ + self->contigPtr = mat; + /*pointer array points to contigous memory*/ + for(x = 0; x < rowSize; x++) { + self->matrix[x] = self->contigPtr + (x * colSize); + } + self->wrapped = Py_WRAP; + }else if (type == Py_NEW){ + self->contigPtr = PyMem_Malloc(rowSize * colSize * sizeof(float)); + if(self->contigPtr == NULL) { /*allocation failure*/ + PyErr_SetString( PyExc_MemoryError, "matrix(): problem allocating pointer space\n"); + return NULL; + } + /*pointer array points to contigous memory*/ + for(x = 0; x < rowSize; x++) { + self->matrix[x] = self->contigPtr + (x * colSize); + } + /*parse*/ + if(mat) { /*if a float array passed*/ + for(row = 0; row < rowSize; row++) { + for(col = 0; col < colSize; col++) { + self->matrix[row][col] = mat[(row * colSize) + col]; + } + } + } else if (rowSize == colSize ) { /*or if no arguments are passed return identity matrix for square matrices */ + Matrix_Identity(self); + Py_DECREF(self); + } + self->wrapped = Py_NEW; + }else{ /*bad type*/ + return NULL; + } + return (PyObject *) self; +} + +PyObject *newMatrixObject_cb(PyObject *cb_user, int rowSize, int colSize, int cb_type, int cb_subtype) +{ + MatrixObject *self= (MatrixObject *)newMatrixObject(NULL, rowSize, colSize, Py_NEW, NULL); + if(self) { + Py_INCREF(cb_user); + self->cb_user= cb_user; + self->cb_type= (unsigned char)cb_type; + self->cb_subtype= (unsigned char)cb_subtype; + } + return (PyObject *) self; +} + +//----------------column_vector_multiplication (internal)--------- +//COLUMN VECTOR Multiplication (Matrix X Vector) +// [1][4][7] [a] +// [2][5][8] * [b] +// [3][6][9] [c] +//vector/matrix multiplication IS NOT COMMUTATIVE!!!! +static PyObject *column_vector_multiplication(MatrixObject * mat, VectorObject* vec) +{ + float vecNew[4], vecCopy[4]; + double dot = 0.0f; + int x, y, z = 0; + + if(!BaseMath_ReadCallback(mat) || !BaseMath_ReadCallback(vec)) + return NULL; + + if(mat->rowSize != vec->size){ + if(mat->rowSize == 4 && vec->size != 3){ + PyErr_SetString(PyExc_AttributeError, "matrix * vector: matrix row size and vector size must be the same"); + return NULL; + }else{ + vecCopy[3] = 1.0f; + } + } + + for(x = 0; x < vec->size; x++){ + vecCopy[x] = vec->vec[x]; + } + vecNew[3] = 1.0f; + + for(x = 0; x < mat->colSize; x++) { + for(y = 0; y < mat->rowSize; y++) { + dot += mat->matrix[y][x] * vecCopy[y]; + } + vecNew[z++] = (float)dot; + dot = 0.0f; + } + return newVectorObject(vecNew, vec->size, Py_NEW, NULL); +} |