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	Here we are doing no more than adding the value for Py_mod_multiple_interpreters and using it for stdlib modules. We will start checking for it in gh-104206 (once PyInterpreterState.ceval.own_gil is added in gh-104204).
		
			
				
	
	
		
			115 lines
		
	
	
	
		
			2.7 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			115 lines
		
	
	
	
		
			2.7 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
#include "Python.h"
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#include "opcode.h"
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#include "internal/pycore_code.h"
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/*[clinic input]
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module _opcode
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[clinic start generated code]*/
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/*[clinic end generated code: output=da39a3ee5e6b4b0d input=117442e66eb376e6]*/
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#include "clinic/_opcode.c.h"
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/*[clinic input]
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_opcode.stack_effect -> int
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  opcode: int
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  oparg: object = None
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  /
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  *
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  jump: object = None
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Compute the stack effect of the opcode.
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[clinic start generated code]*/
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static int
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_opcode_stack_effect_impl(PyObject *module, int opcode, PyObject *oparg,
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                          PyObject *jump)
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/*[clinic end generated code: output=64a18f2ead954dbb input=461c9d4a44851898]*/
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{
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    int effect;
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    int oparg_int = 0;
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    int jump_int;
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    if (HAS_ARG(opcode)) {
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        if (oparg == Py_None) {
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            PyErr_SetString(PyExc_ValueError,
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                    "stack_effect: opcode requires oparg but oparg was not specified");
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            return -1;
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        }
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        oparg_int = (int)PyLong_AsLong(oparg);
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        if ((oparg_int == -1) && PyErr_Occurred()) {
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            return -1;
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        }
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    }
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    else if (oparg != Py_None) {
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        PyErr_SetString(PyExc_ValueError,
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                "stack_effect: opcode does not permit oparg but oparg was specified");
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        return -1;
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    }
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    if (jump == Py_None) {
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        jump_int = -1;
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    }
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    else if (jump == Py_True) {
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        jump_int = 1;
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    }
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    else if (jump == Py_False) {
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        jump_int = 0;
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    }
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    else {
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        PyErr_SetString(PyExc_ValueError,
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                "stack_effect: jump must be False, True or None");
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        return -1;
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    }
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    effect = PyCompile_OpcodeStackEffectWithJump(opcode, oparg_int, jump_int);
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    if (effect == PY_INVALID_STACK_EFFECT) {
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            PyErr_SetString(PyExc_ValueError,
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                    "invalid opcode or oparg");
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            return -1;
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    }
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    return effect;
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}
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/*[clinic input]
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_opcode.get_specialization_stats
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Return the specialization stats
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[clinic start generated code]*/
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static PyObject *
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_opcode_get_specialization_stats_impl(PyObject *module)
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/*[clinic end generated code: output=fcbc32fdfbec5c17 input=e1f60db68d8ce5f6]*/
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{
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#ifdef Py_STATS
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    return _Py_GetSpecializationStats();
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#else
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    Py_RETURN_NONE;
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#endif
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}
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static PyMethodDef
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opcode_functions[] =  {
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    _OPCODE_STACK_EFFECT_METHODDEF
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    _OPCODE_GET_SPECIALIZATION_STATS_METHODDEF
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    {NULL, NULL, 0, NULL}
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};
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static PyModuleDef_Slot module_slots[] = {
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    {Py_mod_multiple_interpreters, Py_MOD_PER_INTERPRETER_GIL_SUPPORTED},
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    {0, NULL}
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};
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static struct PyModuleDef opcodemodule = {
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    PyModuleDef_HEAD_INIT,
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    .m_name = "_opcode",
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    .m_doc = "Opcode support module.",
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    .m_size = 0,
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    .m_methods = opcode_functions,
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    .m_slots = module_slots,
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};
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PyMODINIT_FUNC
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PyInit__opcode(void)
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{
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    return PyModuleDef_Init(&opcodemodule);
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}
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