GPU Python: Use 'PyC_ParseStringEnum' to parse items
Currently the GPU module for python has different ways to handle enums. - Organizing items in `PyC_StringEnumItems` arrays and parsing them with `PyC_ParseStringEnum`. - Using dedicated functions for each type of enum (`bpygpu_ParsePrimType`, `pygpu_ParseVertCompType` and `pygpu_ParseVertFetchMode`). Although apparently more efficient (especially `pygpu_ParseVertCompType` which transforms strings into integers for simple comparison), these dedicated functions duplicate functionality, increase the complexity of the code and consequently make it less readable. Reviewed By: campbellbarton Differential Revision: https://developer.blender.org/D10456
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@@ -38,12 +38,14 @@
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#include "../generic/py_capi_utils.h"
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#include "gpu_py.h"
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#include "gpu_py_api.h"
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#include "gpu_py_batch.h" /* own include */
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#include "gpu_py_element.h"
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#include "gpu_py_shader.h"
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#include "gpu_py_vertex_buffer.h"
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#include "gpu_py_batch.h" /* own include */
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/* -------------------------------------------------------------------- */
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/** \name Utility Functions
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* \{ */
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@@ -69,50 +71,44 @@ static PyObject *pygpu_batch__tp_new(PyTypeObject *UNUSED(type), PyObject *args,
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const char *exc_str_missing_arg = "GPUBatch.__new__() missing required argument '%s' (pos %d)";
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struct {
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GPUPrimType type_id;
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BPyGPUVertBuf *py_vertbuf;
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BPyGPUIndexBuf *py_indexbuf;
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} params = {GPU_PRIM_NONE, NULL, NULL};
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struct PyC_StringEnum prim_type = {bpygpu_primtype_items, GPU_PRIM_NONE};
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BPyGPUVertBuf *py_vertbuf = NULL;
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BPyGPUIndexBuf *py_indexbuf = NULL;
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static const char *_keywords[] = {"type", "buf", "elem", NULL};
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static _PyArg_Parser _parser = {"|$O&O!O!:GPUBatch.__new__", _keywords, 0};
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if (!_PyArg_ParseTupleAndKeywordsFast(args,
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kwds,
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&_parser,
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bpygpu_ParsePrimType,
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¶ms.type_id,
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PyC_ParseStringEnum,
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&prim_type,
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&BPyGPUVertBuf_Type,
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¶ms.py_vertbuf,
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&py_vertbuf,
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&BPyGPUIndexBuf_Type,
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¶ms.py_indexbuf)) {
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&py_indexbuf)) {
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return NULL;
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}
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if (params.type_id == GPU_PRIM_NONE) {
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PyErr_Format(PyExc_TypeError, exc_str_missing_arg, _keywords[0], 1);
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return NULL;
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}
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BLI_assert(prim_type.value_found != GPU_PRIM_NONE);
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if (params.py_vertbuf == NULL) {
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if (py_vertbuf == NULL) {
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PyErr_Format(PyExc_TypeError, exc_str_missing_arg, _keywords[1], 2);
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return NULL;
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}
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GPUBatch *batch = GPU_batch_create(params.type_id,
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params.py_vertbuf->buf,
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params.py_indexbuf ? params.py_indexbuf->elem : NULL);
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GPUBatch *batch = GPU_batch_create(
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prim_type.value_found, py_vertbuf->buf, py_indexbuf ? py_indexbuf->elem : NULL);
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BPyGPUBatch *ret = (BPyGPUBatch *)BPyGPUBatch_CreatePyObject(batch);
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#ifdef USE_GPU_PY_REFERENCES
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ret->references = PyList_New(params.py_indexbuf ? 2 : 1);
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PyList_SET_ITEM(ret->references, 0, (PyObject *)params.py_vertbuf);
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Py_INCREF(params.py_vertbuf);
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ret->references = PyList_New(py_indexbuf ? 2 : 1);
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PyList_SET_ITEM(ret->references, 0, (PyObject *)py_vertbuf);
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Py_INCREF(py_vertbuf);
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if (params.py_indexbuf != NULL) {
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PyList_SET_ITEM(ret->references, 1, (PyObject *)params.py_indexbuf);
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Py_INCREF(params.py_indexbuf);
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if (py_indexbuf != NULL) {
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PyList_SET_ITEM(ret->references, 1, (PyObject *)py_indexbuf);
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Py_INCREF(py_indexbuf);
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}
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PyObject_GC_Track(ret);
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