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author | Tavian Barnes <tavianator@gmail.com> | 2011-05-19 22:59:29 -0600 |
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committer | Tavian Barnes <tavianator@gmail.com> | 2011-05-19 22:59:29 -0600 |
commit | f4053866258e48dd98136142471ecabf6c138160 (patch) | |
tree | 5d472c9b0072dc7e493882f41f548b113b0c624d /libdimension-python/Matrix.c | |
parent | 05ffbe15e92140617e90fe0ccbc22cc1fe0ac3e3 (diff) | |
download | dimension-f4053866258e48dd98136142471ecabf6c138160.tar.xz |
Add matricies to Python module.
Diffstat (limited to 'libdimension-python/Matrix.c')
-rw-r--r-- | libdimension-python/Matrix.c | 342 |
1 files changed, 342 insertions, 0 deletions
diff --git a/libdimension-python/Matrix.c b/libdimension-python/Matrix.c new file mode 100644 index 0000000..a414622 --- /dev/null +++ b/libdimension-python/Matrix.c @@ -0,0 +1,342 @@ +/************************************************************************* + * Copyright (C) 2009-2011 Tavian Barnes <tavianator@tavianator.com> * + * * + * This file is part of The Dimension Python Module. * + * * + * The Dimension Python Module is free software; you can redistribute it * + * and/ or modify it under the terms of the GNU Lesser General Public * + * License as published by the Free Software Foundation; either version * + * 3 of the License, or (at your option) any later version. * + * * + * The Dimension Python Module 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 Lesser General Public License for more details. * + * * + * You should have received a copy of the GNU Lesser General Public * + * License along with this program. If not, see * + * <http://www.gnu.org/licenses/>. * + *************************************************************************/ + +#include "Vector.h" +#include "Matrix.h" + +static int +dmnsn_py_Matrix_init(dmnsn_py_Matrix *self, PyObject *args, PyObject *kwds) +{ + if (kwds) { + PyErr_SetString(PyExc_TypeError, "Keyword arguments not supported"); + return -1; + } + + if (!PyArg_ParseTuple(args, "dddddddddddd", + &self->m.n[0][0], &self->m.n[0][1], &self->m.n[0][2], + &self->m.n[0][3], + &self->m.n[1][0], &self->m.n[1][1], &self->m.n[1][2], + &self->m.n[1][3], + &self->m.n[2][0], &self->m.n[2][1], &self->m.n[2][2], + &self->m.n[2][3])) + return -1; + + return 0; +} + +PyObject * +dmnsn_py_Matrix_scale(PyObject *self, PyObject *args, PyObject *kwds) +{ + dmnsn_vector scale; + if (dmnsn_py_Vector_args(&scale, args, kwds)) { + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_scale_matrix(scale); + } + return (PyObject *)ret; + } else { + PyErr_Clear(); + if (kwds) { + PyErr_SetString(PyExc_TypeError, + "Keywords only make sense for component syntax"); + return NULL; + } + + dmnsn_py_Vector *scale; + if (!PyArg_ParseTuple(args, "O!", &dmnsn_py_VectorType, &scale)) + return NULL; + + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_scale_matrix(scale->v); + } + return (PyObject *)ret; + } +} + +PyObject * +dmnsn_py_Matrix_translate(PyObject *self, PyObject *args, PyObject *kwds) +{ + dmnsn_vector translate; + if (dmnsn_py_Vector_args(&translate, args, kwds)) { + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_translation_matrix(translate); + } + return (PyObject *)ret; + } else { + PyErr_Clear(); + if (kwds) { + PyErr_SetString(PyExc_TypeError, + "Keywords only make sense for component syntax"); + return NULL; + } + + dmnsn_py_Vector *translate; + if (!PyArg_ParseTuple(args, "O!", &dmnsn_py_VectorType, &translate)) + return NULL; + + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_translation_matrix(translate->v); + } + return (PyObject *)ret; + } +} + +PyObject * +dmnsn_py_Matrix_rotate(PyObject *self, PyObject *args, PyObject *kwds) +{ + dmnsn_vector rotate; + if (dmnsn_py_Vector_args(&rotate, args, kwds)) { + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_rotation_matrix(dmnsn_vector_mul(dmnsn_radians(1.0), + rotate)); + } + return (PyObject *)ret; + } else { + PyErr_Clear(); + if (kwds) { + PyErr_SetString(PyExc_TypeError, + "Keywords only make sense for component syntax"); + return NULL; + } + + dmnsn_py_Vector *rotate; + if (!PyArg_ParseTuple(args, "O!", &dmnsn_py_VectorType, &rotate)) + return NULL; + + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_rotation_matrix(dmnsn_vector_mul(dmnsn_radians(1.0), + rotate->v)); + } + return (PyObject *)ret; + } +} + +static PyObject * +dmnsn_py_Matrix_repr(dmnsn_py_Matrix *self) +{ + PyObject *floats[3][4] = { { NULL } }; + bool initialized = true; + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + floats[i][j] = PyFloat_FromDouble(self->m.n[i][j]); + if (!floats[i][j]) { + initialized = false; + break; + } + } + if (!initialized) + break; + } + + if (!initialized) { + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + Py_XDECREF(floats[i][j]); + } + } + return NULL; + } + + PyObject *repr = PyUnicode_FromFormat("dimension.Matrix(%R, %R, %R, %R," + "%R, %R, %R, %R," + "%R, %R, %R, %R)", + floats[0][0], floats[0][1], + floats[0][2], floats[0][3], + floats[1][0], floats[1][1], + floats[1][2], floats[1][3], + floats[2][0], floats[2][1], + floats[2][2], floats[2][3]); + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + Py_DECREF(floats[i][j]); + } + } + return repr; +} + +static PyObject * +dmnsn_py_Matrix_str(dmnsn_py_Matrix *self) +{ + PyObject *floats[3][4] = { { NULL } }; + bool initialized = true; + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + floats[i][j] = PyFloat_FromDouble(self->m.n[i][j]); + if (!floats[i][j]) { + initialized = false; + break; + } + } + if (!initialized) + break; + } + + if (!initialized) { + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + Py_XDECREF(floats[i][j]); + } + } + return NULL; + } + + PyObject *str = PyUnicode_FromFormat("\n[%S\t%S\t%S\t%S]\n" + "[%S\t%S\t%S\t%S]\n" + "[%S\t%S\t%S\t%S]\n" + "[0.0\t0.0\t0.0\t1.0]", + floats[0][0], floats[0][1], + floats[0][2], floats[0][3], + floats[1][0], floats[1][1], + floats[1][2], floats[1][3], + floats[2][0], floats[2][1], + floats[2][2], floats[2][3]); + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + Py_DECREF(floats[i][j]); + } + } + return str; +} + +static PyObject * +dmnsn_py_Matrix_richcompare(PyObject *lhs, PyObject *rhs, int op) +{ + if (!PyObject_TypeCheck(lhs, &dmnsn_py_MatrixType) + || !PyObject_TypeCheck(rhs, &dmnsn_py_MatrixType)) + { + PyErr_SetString(PyExc_TypeError, + "Matricies can only be compared with Matricies"); + return NULL; + } + + dmnsn_py_Matrix *mlhs = (dmnsn_py_Matrix *)lhs; + dmnsn_py_Matrix *mrhs = (dmnsn_py_Matrix *)rhs; + + double sqdiff = 0.0; + for (size_t i = 0; i < 3; ++i) { + for (size_t j = 0; j < 4; ++j) { + double diff = mlhs->m.n[i][j] - mrhs->m.n[i][j]; + sqdiff += diff*diff; + } + } + + bool equal = sqrt(sqdiff) < dmnsn_epsilon; + + PyObject *result; + switch (op) { + case Py_EQ: + result = equal ? Py_True : Py_False; + break; + case Py_NE: + result = !equal ? Py_True : Py_False; + break; + default: + result = Py_NotImplemented; + break; + } + + Py_INCREF(result); + return result; +} + +static PyObject * +dmnsn_py_Matrix_mul(PyObject *lhs, PyObject *rhs) +{ + if (!PyObject_TypeCheck(lhs, &dmnsn_py_MatrixType)) { + PyErr_SetString(PyExc_TypeError, + "Left-hand side of matrix multiplication must be a matrix"); + return NULL; + } + + dmnsn_py_Matrix *mlhs = (dmnsn_py_Matrix *)lhs; + + if (PyObject_TypeCheck(rhs, &dmnsn_py_MatrixType)) { + dmnsn_py_Matrix *mrhs = (dmnsn_py_Matrix *)rhs; + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_matrix_mul(mlhs->m, mrhs->m); + } + return (PyObject *)ret; + } else if (PyObject_TypeCheck(rhs, &dmnsn_py_VectorType)) { + dmnsn_py_Vector *vrhs = (dmnsn_py_Vector *)rhs; + dmnsn_py_Vector *ret = PyObject_New(dmnsn_py_Vector, &dmnsn_py_VectorType); + if (ret) { + ret->v = dmnsn_transform_vector(mlhs->m, vrhs->v); + } + return (PyObject *)ret; + } else { + PyErr_SetString(PyExc_TypeError, + "Right-hand side of matrix multiplication must be a matrix" + " or vector"); + return NULL; + } +} + +static PyNumberMethods dmnsn_py_Matrix_as_number = { + .nb_multiply = dmnsn_py_Matrix_mul, +}; + +static PyObject * +dmnsn_py_Matrix_inverse(dmnsn_py_Matrix *self) +{ + dmnsn_py_Matrix *ret = PyObject_New(dmnsn_py_Matrix, &dmnsn_py_MatrixType); + if (ret) { + ret->m = dmnsn_matrix_inverse(self->m); + } + return (PyObject *)ret; +} + +static PyMethodDef dmnsn_py_Matrix_methods[] = { + { "inverse", (PyCFunction)dmnsn_py_Matrix_inverse, METH_NOARGS, + "Return the inverse of the matrix" }, + { NULL } +}; + +static PyGetSetDef dmnsn_py_Matrix_getsetters[] = { + { NULL } +}; + +PyTypeObject dmnsn_py_MatrixType = { + PyVarObject_HEAD_INIT(NULL, 0) + .tp_name = "dimension.Matrix", + .tp_basicsize = sizeof(dmnsn_py_Matrix), + .tp_repr = (reprfunc)dmnsn_py_Matrix_repr, + .tp_str = (reprfunc)dmnsn_py_Matrix_str, + .tp_as_number = &dmnsn_py_Matrix_as_number, + .tp_flags = Py_TPFLAGS_DEFAULT, + .tp_doc = "Dimension matrix", + .tp_richcompare = dmnsn_py_Matrix_richcompare, + .tp_methods = dmnsn_py_Matrix_methods, + .tp_getset = dmnsn_py_Matrix_getsetters, + .tp_init = (initproc)dmnsn_py_Matrix_init, +}; + +bool +dmnsn_py_init_MatrixType(void) +{ + dmnsn_py_MatrixType.tp_new = PyType_GenericNew; + Py_INCREF(&dmnsn_py_MatrixType); + return PyType_Ready(&dmnsn_py_MatrixType) >= 0; +} |