While \file doesn't need an argument, it can't have another doxy command after it.
		
			
				
	
	
		
			445 lines
		
	
	
		
			13 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			445 lines
		
	
	
		
			13 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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| 
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| /** \file
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|  * \ingroup pythonintern
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|  *
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|  * This file defines '_bpy.ops', an internal python module which gives python
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|  * the ability to inspect and call both C and Python defined operators.
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|  *
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|  * \note
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|  * This module is exposed to the user via 'release/scripts/modules/bpy/ops.py'
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|  * which fakes exposing operators as modules/functions using its own classes.
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|  */
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| 
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| #include <Python.h>
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| 
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| #include "RNA_types.h"
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| 
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| #include "BLI_utildefines.h"
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| #include "BLI_listbase.h"
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| 
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| #include "BPY_extern.h"
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| #include "bpy_operator.h"
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| #include "bpy_operator_wrap.h"
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| #include "bpy_rna.h" /* for setting arg props only - pyrna_py_to_prop() */
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| #include "bpy_capi_utils.h"
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| #include "../generic/bpy_internal_import.h"
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| #include "../generic/py_capi_utils.h"
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| #include "../generic/python_utildefines.h"
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| 
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| #include "RNA_access.h"
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| #include "RNA_enum_types.h"
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| 
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| #include "WM_api.h"
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| #include "WM_types.h"
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| 
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| #include "MEM_guardedalloc.h"
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| 
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| #include "BLI_ghash.h"
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| 
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| #include "BKE_report.h"
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| #include "BKE_context.h"
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| 
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| /* so operators called can spawn threads which acquire the GIL */
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| #define BPY_RELEASE_GIL
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| 
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| static wmOperatorType *ot_lookup_from_py_string(PyObject *value, const char *py_fn_id)
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| {
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| 	const char *opname = _PyUnicode_AsString(value);
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| 	if (opname == NULL) {
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| 		PyErr_Format(PyExc_TypeError, "%s() expects a string argument", py_fn_id);
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| 		return NULL;
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| 	}
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| 
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| 	wmOperatorType *ot = WM_operatortype_find(opname, true);
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| 	if (ot == NULL) {
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| 		PyErr_Format(PyExc_KeyError, "%s(\"%s\") not found", py_fn_id, opname);
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| 		return NULL;
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| 	}
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| 	return ot;
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| }
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| 
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| static PyObject *pyop_poll(PyObject *UNUSED(self), PyObject *args)
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| {
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| 	wmOperatorType *ot;
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| 	const char *opname;
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| 	PyObject *context_dict = NULL; /* optional args */
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| 	PyObject *context_dict_back;
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| 	const char *context_str = NULL;
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| 	PyObject *ret;
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| 
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| 	int context = WM_OP_EXEC_DEFAULT;
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| 
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| 	/* XXX Todo, work out a better solution for passing on context,
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| 	 * could make a tuple from self and pack the name and Context into it... */
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| 	bContext *C = (bContext *)BPy_GetContext();
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| 
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| 	if (C == NULL) {
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| 		PyErr_SetString(PyExc_RuntimeError, "Context is None, cant poll any operators");
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| 		return NULL;
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| 	}
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| 
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| 	if (!PyArg_ParseTuple(args, "s|Os:_bpy.ops.poll", &opname, &context_dict, &context_str))
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| 		return NULL;
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| 
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| 	ot = WM_operatortype_find(opname, true);
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| 
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| 	if (ot == NULL) {
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| 		PyErr_Format(PyExc_AttributeError,
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| 		             "Polling operator \"bpy.ops.%s\" error, "
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| 		             "could not be found", opname);
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| 		return NULL;
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| 	}
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| 
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| 	if (context_str) {
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| 		if (RNA_enum_value_from_id(rna_enum_operator_context_items, context_str, &context) == 0) {
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| 			char *enum_str = BPy_enum_as_string(rna_enum_operator_context_items);
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| 			PyErr_Format(PyExc_TypeError,
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| 			             "Calling operator \"bpy.ops.%s.poll\" error, "
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| 			             "expected a string enum in (%s)",
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| 			             opname, enum_str);
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| 			MEM_freeN(enum_str);
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| 			return NULL;
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| 		}
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| 	}
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| 
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| 	if (context_dict == NULL || context_dict == Py_None) {
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| 		context_dict = NULL;
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| 	}
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| 	else if (!PyDict_Check(context_dict)) {
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| 		PyErr_Format(PyExc_TypeError,
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| 		             "Calling operator \"bpy.ops.%s.poll\" error, "
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| 		             "custom context expected a dict or None, got a %.200s",
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| 		             opname, Py_TYPE(context_dict)->tp_name);
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| 		return NULL;
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| 	}
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| 
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| 	context_dict_back = CTX_py_dict_get(C);
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| 	CTX_py_dict_set(C, (void *)context_dict);
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| 	Py_XINCREF(context_dict); /* so we done loose it */
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| 
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| 	/* main purpose of this function */
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| 	ret = WM_operator_poll_context((bContext *)C, ot, context) ? Py_True : Py_False;
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| 
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| 	/* restore with original context dict, probably NULL but need this for nested operator calls */
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| 	Py_XDECREF(context_dict);
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| 	CTX_py_dict_set(C, (void *)context_dict_back);
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| 
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| 	return Py_INCREF_RET(ret);
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| }
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| 
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| static PyObject *pyop_call(PyObject *UNUSED(self), PyObject *args)
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| {
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| 	wmOperatorType *ot;
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| 	int error_val = 0;
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| 	PointerRNA ptr;
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| 	int operator_ret = OPERATOR_CANCELLED;
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| 
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| 	const char *opname;
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| 	const char *context_str = NULL;
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| 	PyObject *kw = NULL; /* optional args */
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| 	PyObject *context_dict = NULL; /* optional args */
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| 	PyObject *context_dict_back;
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| 
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| 	/* note that context is an int, python does the conversion in this case */
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| 	int context = WM_OP_EXEC_DEFAULT;
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| 	int is_undo = false;
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| 
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| 	/* XXX Todo, work out a better solution for passing on context,
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| 	 * could make a tuple from self and pack the name and Context into it... */
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| 	bContext *C = (bContext *)BPy_GetContext();
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| 
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| 	if (C == NULL) {
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| 		PyErr_SetString(PyExc_RuntimeError, "Context is None, cant poll any operators");
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| 		return NULL;
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| 	}
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| 
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| 	if (!PyArg_ParseTuple(args, "sO|O!si:_bpy.ops.call",
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| 	                      &opname, &context_dict, &PyDict_Type, &kw, &context_str, &is_undo))
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| 	{
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| 		return NULL;
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| 	}
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| 
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| 	ot = WM_operatortype_find(opname, true);
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| 
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| 	if (ot == NULL) {
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| 		PyErr_Format(PyExc_AttributeError,
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| 		             "Calling operator \"bpy.ops.%s\" error, "
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| 		             "could not be found", opname);
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| 		return NULL;
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| 	}
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| 
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| 	if (!pyrna_write_check()) {
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| 		PyErr_Format(PyExc_RuntimeError,
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| 		             "Calling operator \"bpy.ops.%s\" error, "
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| 		             "can't modify blend data in this state (drawing/rendering)",
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| 		             opname);
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| 		return NULL;
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| 	}
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| 
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| 	if (context_str) {
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| 		if (RNA_enum_value_from_id(rna_enum_operator_context_items, context_str, &context) == 0) {
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| 			char *enum_str = BPy_enum_as_string(rna_enum_operator_context_items);
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| 			PyErr_Format(PyExc_TypeError,
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| 			             "Calling operator \"bpy.ops.%s\" error, "
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| 			             "expected a string enum in (%s)",
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| 			             opname, enum_str);
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| 			MEM_freeN(enum_str);
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| 			return NULL;
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| 		}
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| 	}
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| 
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| 	if (context_dict == NULL || context_dict == Py_None) {
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| 		context_dict = NULL;
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| 	}
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| 	else if (!PyDict_Check(context_dict)) {
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| 		PyErr_Format(PyExc_TypeError,
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| 		             "Calling operator \"bpy.ops.%s\" error, "
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| 		             "custom context expected a dict or None, got a %.200s",
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| 		             opname, Py_TYPE(context_dict)->tp_name);
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| 		return NULL;
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| 	}
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| 
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| 	context_dict_back = CTX_py_dict_get(C);
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| 
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| 	CTX_py_dict_set(C, (void *)context_dict);
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| 	Py_XINCREF(context_dict); /* so we done loose it */
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| 
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| 	if (WM_operator_poll_context((bContext *)C, ot, context) == false) {
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| 		const char *msg = CTX_wm_operator_poll_msg_get(C);
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| 		PyErr_Format(PyExc_RuntimeError,
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| 		             "Operator bpy.ops.%.200s.poll() %.200s",
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| 		             opname, msg ? msg : "failed, context is incorrect");
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| 		CTX_wm_operator_poll_msg_set(C, NULL); /* better set to NULL else it could be used again */
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| 		error_val = -1;
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| 	}
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| 	else {
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| 		WM_operator_properties_create_ptr(&ptr, ot);
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| 		WM_operator_properties_sanitize(&ptr, 0);
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| 
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| 		if (kw && PyDict_Size(kw)) {
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| 			error_val = pyrna_pydict_to_props(&ptr, kw, false, "Converting py args to operator properties: ");
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| 		}
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| 
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| 		if (error_val == 0) {
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| 			ReportList *reports;
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| 
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| 			reports = MEM_mallocN(sizeof(ReportList), "wmOperatorReportList");
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| 			BKE_reports_init(reports, RPT_STORE | RPT_OP_HOLD); /* own so these don't move into global reports */
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| 
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| #ifdef BPY_RELEASE_GIL
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| 			/* release GIL, since a thread could be started from an operator
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| 			 * that updates a driver */
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| 			/* note: I have not seen any examples of code that does this
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| 			 * so it may not be officially supported but seems to work ok. */
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| 			{
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| 				PyThreadState *ts = PyEval_SaveThread();
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| #endif
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| 
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| 				operator_ret = WM_operator_call_py(C, ot, context, &ptr, reports, is_undo);
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| 
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| #ifdef BPY_RELEASE_GIL
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| 				/* regain GIL */
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| 				PyEval_RestoreThread(ts);
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| 			}
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| #endif
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| 
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| 			error_val = BPy_reports_to_error(reports, PyExc_RuntimeError, false);
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| 
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| 			/* operator output is nice to have in the terminal/console too */
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| 			if (!BLI_listbase_is_empty(&reports->list)) {
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| 				Report *report;
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| 				for (report = reports->list.first; report; report = report->next) {
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| 					PySys_WriteStdout("%s: %s\n", report->typestr, report->message);
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| 				}
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| 			}
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| 
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| 			BKE_reports_clear(reports);
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| 			if ((reports->flag & RPT_FREE) == 0) {
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| 				MEM_freeN(reports);
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| 			}
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| 			else {
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| 				/* The WM is now responsible for running the modal operator,
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| 				 * show reports in the info window. */
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| 				reports->flag &= ~RPT_OP_HOLD;
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| 			}
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| 		}
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| 
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| 		WM_operator_properties_free(&ptr);
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| 
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| #if 0
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| 		/* if there is some way to know an operator takes args we should use this */
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| 		{
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| 			/* no props */
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| 			if (kw != NULL) {
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| 				PyErr_Format(PyExc_AttributeError,
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| 				             "Operator \"%s\" does not take any args",
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| 				             opname);
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| 				return NULL;
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| 			}
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| 
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| 			WM_operator_name_call(C, opname, WM_OP_EXEC_DEFAULT, NULL);
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| 		}
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| #endif
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| 	}
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| 
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| 	/* restore with original context dict, probably NULL but need this for nested operator calls */
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| 	Py_XDECREF(context_dict);
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| 	CTX_py_dict_set(C, (void *)context_dict_back);
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| 
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| 	if (error_val == -1) {
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| 		return NULL;
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| 	}
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| 
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| 	/* when calling  bpy.ops.wm.read_factory_settings() bpy.data's main pointer is freed by clear_globals(),
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| 	 * further access will crash blender. setting context is not needed in this case, only calling because this
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| 	 * function corrects bpy.data (internal Main pointer) */
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| 	BPY_modules_update(C);
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| 
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| 	/* needed for when WM_OT_read_factory_settings us called from within a script */
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| 	bpy_import_main_set(CTX_data_main(C));
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| 
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| 	/* return operator_ret as a bpy enum */
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| 	return pyrna_enum_bitfield_to_py(rna_enum_operator_return_items, operator_ret);
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| 
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| }
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| 
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| static PyObject *pyop_as_string(PyObject *UNUSED(self), PyObject *args)
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| {
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| 	wmOperatorType *ot;
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| 	PointerRNA ptr;
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| 
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| 	const char *opname;
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| 	PyObject *kw = NULL; /* optional args */
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| 	bool all_args = true;
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| 	bool macro_args = true;
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| 	int error_val = 0;
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| 
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| 	char *buf = NULL;
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| 	PyObject *pybuf;
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| 
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| 	bContext *C = (bContext *)BPy_GetContext();
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| 
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| 	if (C == NULL) {
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| 		PyErr_SetString(PyExc_RuntimeError, "Context is None, cant get the string representation of this object.");
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| 		return NULL;
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| 	}
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| 
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| 	if (!PyArg_ParseTuple(
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| 	        args, "s|O!O&O&:_bpy.ops.as_string",
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| 	        &opname, &PyDict_Type, &kw,
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| 	        PyC_ParseBool, &all_args,
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| 	        PyC_ParseBool, ¯o_args))
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| 	{
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| 		return NULL;
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| 	}
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| 
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| 	ot = WM_operatortype_find(opname, true);
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| 
 | |
| 	if (ot == NULL) {
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| 		PyErr_Format(PyExc_AttributeError,
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| 		             "_bpy.ops.as_string: operator \"%.200s\" "
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| 		             "could not be found", opname);
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| 		return NULL;
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| 	}
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| 
 | |
| 	/* WM_operator_properties_create(&ptr, opname); */
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| 	/* Save another lookup */
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| 	RNA_pointer_create(NULL, ot->srna, NULL, &ptr);
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| 
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| 	if (kw && PyDict_Size(kw)) {
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| 		error_val = pyrna_pydict_to_props(&ptr, kw, false, "Converting py args to operator properties: ");
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| 	}
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| 
 | |
| 	if (error_val == 0)
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| 		buf = WM_operator_pystring_ex(C, NULL, all_args, macro_args, ot, &ptr);
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| 
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| 	WM_operator_properties_free(&ptr);
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| 
 | |
| 	if (error_val == -1) {
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| 		return NULL;
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| 	}
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| 
 | |
| 	if (buf) {
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| 		pybuf = PyUnicode_FromString(buf);
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| 		MEM_freeN(buf);
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| 	}
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| 	else {
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| 		pybuf = PyUnicode_FromString("");
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| 	}
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| 
 | |
| 	return pybuf;
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| }
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| 
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| static PyObject *pyop_dir(PyObject *UNUSED(self))
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| {
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| 	GHashIterator iter;
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| 	PyObject *list;
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| 	int i;
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| 
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| 	WM_operatortype_iter(&iter);
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| 	list = PyList_New(BLI_ghash_len(iter.gh));
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| 
 | |
| 	for (i = 0; !BLI_ghashIterator_done(&iter); BLI_ghashIterator_step(&iter), i++) {
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| 		wmOperatorType *ot = BLI_ghashIterator_getValue(&iter);
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| 		PyList_SET_ITEM(list, i, PyUnicode_FromString(ot->idname));
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| 	}
 | |
| 
 | |
| 	return list;
 | |
| }
 | |
| 
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| static PyObject *pyop_getrna_type(PyObject *UNUSED(self), PyObject *value)
 | |
| {
 | |
| 	wmOperatorType *ot;
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| 	if ((ot = ot_lookup_from_py_string(value, "get_rna_type")) == NULL) {
 | |
| 		return NULL;
 | |
| 	}
 | |
| 
 | |
| 	PointerRNA ptr;
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| 	RNA_pointer_create(NULL, &RNA_Struct, ot->srna, &ptr);
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| 	BPy_StructRNA *pyrna = (BPy_StructRNA *)pyrna_struct_CreatePyObject(&ptr);
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| 	return (PyObject *)pyrna;
 | |
| }
 | |
| 
 | |
| static struct PyMethodDef bpy_ops_methods[] = {
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| 	{"poll", (PyCFunction) pyop_poll, METH_VARARGS, NULL},
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| 	{"call", (PyCFunction) pyop_call, METH_VARARGS, NULL},
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| 	{"as_string", (PyCFunction) pyop_as_string, METH_VARARGS, NULL},
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| 	{"dir", (PyCFunction) pyop_dir, METH_NOARGS, NULL},
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| 	{"get_rna_type", (PyCFunction) pyop_getrna_type, METH_O, NULL},
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| 	{"macro_define", (PyCFunction) PYOP_wrap_macro_define, METH_VARARGS, NULL},
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| 	{NULL, NULL, 0, NULL},
 | |
| };
 | |
| 
 | |
| static struct PyModuleDef bpy_ops_module = {
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| 	PyModuleDef_HEAD_INIT,
 | |
| 	"_bpy.ops",
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| 	NULL,
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| 	-1, /* multiple "initialization" just copies the module dict. */
 | |
| 	bpy_ops_methods,
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| 	NULL, NULL, NULL, NULL,
 | |
| };
 | |
| 
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| PyObject *BPY_operator_module(void)
 | |
| {
 | |
| 	PyObject *submodule;
 | |
| 
 | |
| 	submodule = PyModule_Create(&bpy_ops_module);
 | |
| 
 | |
| 	return submodule;
 | |
| }
 |