564 lines
16 KiB
C
564 lines
16 KiB
C
/*
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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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/** \file
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* \ingroup bpygpu
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*
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* This file defines the gpu.matrix stack API.
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*
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* \warning While these functions attempt to ensure correct stack usage.
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* Mixing Python and C functions may still crash on invalid use.
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*
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* - Use ``bpygpu_`` for local API.
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* - Use ``BPyGPU`` for public API.
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*/
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#include <Python.h>
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#include "BLI_utildefines.h"
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#include "../mathutils/mathutils.h"
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#include "../generic/py_capi_utils.h"
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#define USE_GPU_PY_MATRIX_API
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#include "GPU_matrix.h"
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#undef USE_GPU_PY_MATRIX_API
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#include "gpu_py_matrix.h" /* own include */
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/* -------------------------------------------------------------------- */
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/** \name Helper Functions
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* \{ */
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static bool pygpu_stack_is_push_model_view_ok_or_error(void)
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{
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if (GPU_matrix_stack_level_get_model_view() >= GPU_PY_MATRIX_STACK_LEN) {
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PyErr_SetString(
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PyExc_RuntimeError,
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"Maximum model-view stack depth " STRINGIFY(GPU_PY_MATRIX_STACK_DEPTH) " reached");
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return false;
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}
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return true;
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}
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static bool pygpu_stack_is_push_projection_ok_or_error(void)
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{
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if (GPU_matrix_stack_level_get_projection() >= GPU_PY_MATRIX_STACK_LEN) {
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PyErr_SetString(
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PyExc_RuntimeError,
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"Maximum projection stack depth " STRINGIFY(GPU_PY_MATRIX_STACK_DEPTH) " reached");
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return false;
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}
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return true;
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}
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static bool pygpu_stack_is_pop_model_view_ok_or_error(void)
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{
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if (GPU_matrix_stack_level_get_model_view() == 0) {
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PyErr_SetString(PyExc_RuntimeError, "Minimum model-view stack depth reached");
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return false;
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}
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return true;
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}
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static bool pygpu_stack_is_pop_projection_ok_or_error(void)
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{
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if (GPU_matrix_stack_level_get_projection() == 0) {
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PyErr_SetString(PyExc_RuntimeError, "Minimum projection stack depth reached");
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return false;
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}
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return true;
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}
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/** \} */
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/* -------------------------------------------------------------------- */
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/** \name Manage Stack
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* \{ */
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PyDoc_STRVAR(pygpu_matrix_push_doc,
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".. function:: push()\n"
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"\n"
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" Add to the model-view matrix stack.\n");
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static PyObject *pygpu_matrix_push(PyObject *UNUSED(self))
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{
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if (!pygpu_stack_is_push_model_view_ok_or_error()) {
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return NULL;
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}
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GPU_matrix_push();
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_pop_doc,
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".. function:: pop()\n"
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"\n"
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" Remove the last model-view matrix from the stack.\n");
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static PyObject *pygpu_matrix_pop(PyObject *UNUSED(self))
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{
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if (!pygpu_stack_is_pop_model_view_ok_or_error()) {
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return NULL;
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}
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GPU_matrix_pop();
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_push_projection_doc,
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".. function:: push_projection()\n"
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"\n"
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" Add to the projection matrix stack.\n");
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static PyObject *pygpu_matrix_push_projection(PyObject *UNUSED(self))
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{
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if (!pygpu_stack_is_push_projection_ok_or_error()) {
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return NULL;
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}
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GPU_matrix_push_projection();
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_pop_projection_doc,
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".. function:: pop_projection()\n"
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"\n"
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" Remove the last projection matrix from the stack.\n");
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static PyObject *pygpu_matrix_pop_projection(PyObject *UNUSED(self))
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{
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if (!pygpu_stack_is_pop_projection_ok_or_error()) {
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return NULL;
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}
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GPU_matrix_pop_projection();
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Py_RETURN_NONE;
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}
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/** \} */
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/* -------------------------------------------------------------------- */
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/** \name Stack (Context Manager)
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*
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* Safer alternative to ensure balanced push/pop calls.
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*
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* \{ */
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typedef struct {
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PyObject_HEAD /* required python macro */
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int type;
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int level;
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} BPyGPU_MatrixStackContext;
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enum {
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PYGPU_MATRIX_TYPE_MODEL_VIEW = 1,
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PYGPU_MATRIX_TYPE_PROJECTION = 2,
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};
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static PyObject *pygpu_matrix_stack_context_enter(BPyGPU_MatrixStackContext *self);
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static PyObject *pygpu_matrix_stack_context_exit(BPyGPU_MatrixStackContext *self, PyObject *args);
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static PyMethodDef pygpu_matrix_stack_context__tp_methods[] = {
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{"__enter__", (PyCFunction)pygpu_matrix_stack_context_enter, METH_NOARGS},
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{"__exit__", (PyCFunction)pygpu_matrix_stack_context_exit, METH_VARARGS},
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{NULL},
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};
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static PyTypeObject PyGPUMatrixStackContext_Type = {
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PyVarObject_HEAD_INIT(NULL, 0).tp_name = "GPUMatrixStackContext",
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.tp_basicsize = sizeof(BPyGPU_MatrixStackContext),
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.tp_flags = Py_TPFLAGS_DEFAULT,
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.tp_methods = pygpu_matrix_stack_context__tp_methods,
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};
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static PyObject *pygpu_matrix_stack_context_enter(BPyGPU_MatrixStackContext *self)
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{
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/* sanity - should never happen */
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if (self->level != -1) {
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PyErr_SetString(PyExc_RuntimeError, "Already in use");
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return NULL;
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}
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if (self->type == PYGPU_MATRIX_TYPE_MODEL_VIEW) {
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if (!pygpu_stack_is_push_model_view_ok_or_error()) {
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return NULL;
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}
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GPU_matrix_push();
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self->level = GPU_matrix_stack_level_get_model_view();
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}
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else if (self->type == PYGPU_MATRIX_TYPE_PROJECTION) {
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if (!pygpu_stack_is_push_projection_ok_or_error()) {
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return NULL;
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}
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GPU_matrix_push_projection();
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self->level = GPU_matrix_stack_level_get_projection();
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}
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else {
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BLI_assert_unreachable();
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}
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Py_RETURN_NONE;
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}
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static PyObject *pygpu_matrix_stack_context_exit(BPyGPU_MatrixStackContext *self,
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PyObject *UNUSED(args))
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{
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/* sanity - should never happen */
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if (self->level == -1) {
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fprintf(stderr, "Not yet in use\n");
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goto finally;
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}
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if (self->type == PYGPU_MATRIX_TYPE_MODEL_VIEW) {
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const int level = GPU_matrix_stack_level_get_model_view();
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if (level != self->level) {
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fprintf(stderr, "Level push/pop mismatch, expected %d, got %d\n", self->level, level);
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}
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if (level != 0) {
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GPU_matrix_pop();
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}
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}
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else if (self->type == PYGPU_MATRIX_TYPE_PROJECTION) {
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const int level = GPU_matrix_stack_level_get_projection();
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if (level != self->level) {
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fprintf(stderr, "Level push/pop mismatch, expected %d, got %d", self->level, level);
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}
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if (level != 0) {
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GPU_matrix_pop_projection();
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}
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}
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else {
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BLI_assert_unreachable();
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}
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finally:
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Py_RETURN_NONE;
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}
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static PyObject *pygpu_matrix_push_pop_impl(int type)
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{
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BPyGPU_MatrixStackContext *ret = PyObject_New(BPyGPU_MatrixStackContext,
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&PyGPUMatrixStackContext_Type);
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ret->type = type;
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ret->level = -1;
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return (PyObject *)ret;
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}
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PyDoc_STRVAR(
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pygpu_matrix_push_pop_doc,
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".. function:: push_pop()\n"
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"\n"
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" Context manager to ensure balanced push/pop calls, even in the case of an error.\n");
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static PyObject *pygpu_matrix_push_pop(PyObject *UNUSED(self))
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{
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return pygpu_matrix_push_pop_impl(PYGPU_MATRIX_TYPE_MODEL_VIEW);
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}
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PyDoc_STRVAR(
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pygpu_matrix_push_pop_projection_doc,
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".. function:: push_pop_projection()\n"
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"\n"
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" Context manager to ensure balanced push/pop calls, even in the case of an error.\n");
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static PyObject *pygpu_matrix_push_pop_projection(PyObject *UNUSED(self))
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{
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return pygpu_matrix_push_pop_impl(PYGPU_MATRIX_TYPE_PROJECTION);
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}
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/** \} */
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/* -------------------------------------------------------------------- */
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/** \name Manipulate State
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* \{ */
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PyDoc_STRVAR(pygpu_matrix_multiply_matrix_doc,
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".. function:: multiply_matrix(matrix)\n"
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"\n"
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" Multiply the current stack matrix.\n"
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"\n"
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" :param matrix: A 4x4 matrix.\n"
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" :type matrix: :class:`mathutils.Matrix`\n");
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static PyObject *pygpu_matrix_multiply_matrix(PyObject *UNUSED(self), PyObject *value)
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{
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MatrixObject *pymat;
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if (!Matrix_Parse4x4(value, &pymat)) {
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return NULL;
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}
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GPU_matrix_mul(pymat->matrix);
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_scale_doc,
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".. function:: scale(scale)\n"
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"\n"
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" Scale the current stack matrix.\n"
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"\n"
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" :param scale: Scale the current stack matrix.\n"
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" :type scale: sequence of 2 or 3 floats\n");
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static PyObject *pygpu_matrix_scale(PyObject *UNUSED(self), PyObject *value)
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{
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float scale[3];
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int len;
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if ((len = mathutils_array_parse(
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scale, 2, 3, value, "gpu.matrix.scale(): invalid vector arg")) == -1) {
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return NULL;
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}
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if (len == 2) {
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GPU_matrix_scale_2fv(scale);
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}
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else {
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GPU_matrix_scale_3fv(scale);
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}
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_scale_uniform_doc,
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".. function:: scale_uniform(scale)\n"
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"\n"
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" :param scale: Scale the current stack matrix.\n"
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" :type scale: float\n");
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static PyObject *pygpu_matrix_scale_uniform(PyObject *UNUSED(self), PyObject *value)
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{
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float scalar;
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if ((scalar = PyFloat_AsDouble(value)) == -1.0f && PyErr_Occurred()) {
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PyErr_Format(PyExc_TypeError, "expected a number, not %.200s", Py_TYPE(value)->tp_name);
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return NULL;
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}
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GPU_matrix_scale_1f(scalar);
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_translate_doc,
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".. function:: translate(offset)\n"
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"\n"
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" Scale the current stack matrix.\n"
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"\n"
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" :param offset: Translate the current stack matrix.\n"
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" :type offset: sequence of 2 or 3 floats\n");
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static PyObject *pygpu_matrix_translate(PyObject *UNUSED(self), PyObject *value)
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{
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float offset[3];
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int len;
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if ((len = mathutils_array_parse(
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offset, 2, 3, value, "gpu.matrix.translate(): invalid vector arg")) == -1) {
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return NULL;
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}
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if (len == 2) {
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GPU_matrix_translate_2fv(offset);
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}
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else {
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GPU_matrix_translate_3fv(offset);
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}
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Py_RETURN_NONE;
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}
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/** \} */
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/* -------------------------------------------------------------------- */
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/** \name Write State
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* \{ */
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PyDoc_STRVAR(pygpu_matrix_reset_doc,
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".. function:: reset()\n"
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"\n"
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" Empty stack and set to identity.\n");
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static PyObject *pygpu_matrix_reset(PyObject *UNUSED(self))
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{
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GPU_matrix_reset();
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_load_identity_doc,
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".. function:: load_identity()\n"
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"\n"
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" Empty stack and set to identity.\n");
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static PyObject *pygpu_matrix_load_identity(PyObject *UNUSED(self))
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{
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GPU_matrix_identity_set();
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_load_matrix_doc,
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".. function:: load_matrix(matrix)\n"
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"\n"
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" Load a matrix into the stack.\n"
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"\n"
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" :param matrix: A 4x4 matrix.\n"
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" :type matrix: :class:`mathutils.Matrix`\n");
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static PyObject *pygpu_matrix_load_matrix(PyObject *UNUSED(self), PyObject *value)
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{
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MatrixObject *pymat;
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if (!Matrix_Parse4x4(value, &pymat)) {
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return NULL;
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}
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GPU_matrix_set(pymat->matrix);
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Py_RETURN_NONE;
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}
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PyDoc_STRVAR(pygpu_matrix_load_projection_matrix_doc,
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".. function:: load_projection_matrix(matrix)\n"
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"\n"
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" Load a projection matrix into the stack.\n"
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"\n"
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" :param matrix: A 4x4 matrix.\n"
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" :type matrix: :class:`mathutils.Matrix`\n");
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static PyObject *pygpu_matrix_load_projection_matrix(PyObject *UNUSED(self), PyObject *value)
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{
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MatrixObject *pymat;
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if (!Matrix_Parse4x4(value, &pymat)) {
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return NULL;
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}
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GPU_matrix_projection_set(pymat->matrix);
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Py_RETURN_NONE;
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}
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/** \} */
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/* -------------------------------------------------------------------- */
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/** \name Read State
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* \{ */
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PyDoc_STRVAR(pygpu_matrix_get_projection_matrix_doc,
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".. function:: get_projection_matrix()\n"
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"\n"
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" Return a copy of the projection matrix.\n"
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"\n"
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" :return: A 4x4 projection matrix.\n"
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" :rtype: :class:`mathutils.Matrix`\n");
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static PyObject *pygpu_matrix_get_projection_matrix(PyObject *UNUSED(self))
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{
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float matrix[4][4];
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GPU_matrix_projection_get(matrix);
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return Matrix_CreatePyObject(&matrix[0][0], 4, 4, NULL);
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}
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PyDoc_STRVAR(pygpu_matrix_get_model_view_matrix_doc,
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".. function:: get_model_view_matrix()\n"
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"\n"
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" Return a copy of the model-view matrix.\n"
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"\n"
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" :return: A 4x4 view matrix.\n"
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" :rtype: :class:`mathutils.Matrix`\n");
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static PyObject *pygpu_matrix_get_model_view_matrix(PyObject *UNUSED(self))
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{
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float matrix[4][4];
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GPU_matrix_model_view_get(matrix);
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return Matrix_CreatePyObject(&matrix[0][0], 4, 4, NULL);
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}
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PyDoc_STRVAR(pygpu_matrix_get_normal_matrix_doc,
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".. function:: get_normal_matrix()\n"
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"\n"
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" Return a copy of the normal matrix.\n"
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"\n"
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" :return: A 3x3 normal matrix.\n"
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" :rtype: :class:`mathutils.Matrix`\n");
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static PyObject *pygpu_matrix_get_normal_matrix(PyObject *UNUSED(self))
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{
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float matrix[3][3];
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GPU_matrix_normal_get(matrix);
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return Matrix_CreatePyObject(&matrix[0][0], 3, 3, NULL);
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}
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/** \} */
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/* -------------------------------------------------------------------- */
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/** \name Module
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* \{ */
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static struct PyMethodDef pygpu_matrix__tp_methods[] = {
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/* Manage Stack */
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{"push", (PyCFunction)pygpu_matrix_push, METH_NOARGS, pygpu_matrix_push_doc},
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{"pop", (PyCFunction)pygpu_matrix_pop, METH_NOARGS, pygpu_matrix_pop_doc},
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{"push_projection",
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(PyCFunction)pygpu_matrix_push_projection,
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METH_NOARGS,
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pygpu_matrix_push_projection_doc},
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{"pop_projection",
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(PyCFunction)pygpu_matrix_pop_projection,
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METH_NOARGS,
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pygpu_matrix_pop_projection_doc},
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/* Stack (Context Manager) */
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{"push_pop", (PyCFunction)pygpu_matrix_push_pop, METH_NOARGS, pygpu_matrix_push_pop_doc},
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{"push_pop_projection",
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(PyCFunction)pygpu_matrix_push_pop_projection,
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METH_NOARGS,
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pygpu_matrix_push_pop_projection_doc},
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/* Manipulate State */
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{"multiply_matrix",
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(PyCFunction)pygpu_matrix_multiply_matrix,
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METH_O,
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pygpu_matrix_multiply_matrix_doc},
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{"scale", (PyCFunction)pygpu_matrix_scale, METH_O, pygpu_matrix_scale_doc},
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{"scale_uniform",
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(PyCFunction)pygpu_matrix_scale_uniform,
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METH_O,
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pygpu_matrix_scale_uniform_doc},
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{"translate", (PyCFunction)pygpu_matrix_translate, METH_O, pygpu_matrix_translate_doc},
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/* TODO */
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#if 0
|
|
{"rotate", (PyCFunction)pygpu_matrix_rotate, METH_O, pygpu_matrix_rotate_doc},
|
|
{"rotate_axis", (PyCFunction)pygpu_matrix_rotate_axis, METH_O, pygpu_matrix_rotate_axis_doc},
|
|
{"look_at", (PyCFunction)pygpu_matrix_look_at, METH_O, pygpu_matrix_look_at_doc},
|
|
#endif
|
|
|
|
/* Write State */
|
|
{"reset", (PyCFunction)pygpu_matrix_reset, METH_NOARGS, pygpu_matrix_reset_doc},
|
|
{"load_identity",
|
|
(PyCFunction)pygpu_matrix_load_identity,
|
|
METH_NOARGS,
|
|
pygpu_matrix_load_identity_doc},
|
|
{"load_matrix", (PyCFunction)pygpu_matrix_load_matrix, METH_O, pygpu_matrix_load_matrix_doc},
|
|
{"load_projection_matrix",
|
|
(PyCFunction)pygpu_matrix_load_projection_matrix,
|
|
METH_O,
|
|
pygpu_matrix_load_projection_matrix_doc},
|
|
|
|
/* Read State */
|
|
{"get_projection_matrix",
|
|
(PyCFunction)pygpu_matrix_get_projection_matrix,
|
|
METH_NOARGS,
|
|
pygpu_matrix_get_projection_matrix_doc},
|
|
{"get_model_view_matrix",
|
|
(PyCFunction)pygpu_matrix_get_model_view_matrix,
|
|
METH_NOARGS,
|
|
pygpu_matrix_get_model_view_matrix_doc},
|
|
{"get_normal_matrix",
|
|
(PyCFunction)pygpu_matrix_get_normal_matrix,
|
|
METH_NOARGS,
|
|
pygpu_matrix_get_normal_matrix_doc},
|
|
|
|
{NULL, NULL, 0, NULL},
|
|
};
|
|
|
|
PyDoc_STRVAR(pygpu_matrix__tp_doc, "This module provides access to the matrix stack.");
|
|
static PyModuleDef pygpu_matrix_module_def = {
|
|
PyModuleDef_HEAD_INIT,
|
|
.m_name = "gpu.matrix",
|
|
.m_doc = pygpu_matrix__tp_doc,
|
|
.m_methods = pygpu_matrix__tp_methods,
|
|
};
|
|
|
|
PyObject *bpygpu_matrix_init(void)
|
|
{
|
|
PyObject *submodule;
|
|
|
|
submodule = PyModule_Create(&pygpu_matrix_module_def);
|
|
|
|
if (PyType_Ready(&PyGPUMatrixStackContext_Type) < 0) {
|
|
return NULL;
|
|
}
|
|
|
|
return submodule;
|
|
}
|
|
|
|
/** \} */
|