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![Eric Snow](/assets/img/avatar_default.png)
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).
60 lines
1.2 KiB
C
60 lines
1.2 KiB
C
/* typing accelerator C extension: _typing module. */
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#include "Python.h"
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#include "clinic/_typingmodule.c.h"
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/*[clinic input]
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module _typing
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[clinic start generated code]*/
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/*[clinic end generated code: output=da39a3ee5e6b4b0d input=1db35baf1c72942b]*/
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/* helper function to make typing.NewType.__call__ method faster */
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/*[clinic input]
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_typing._idfunc -> object
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x: object
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/
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[clinic start generated code]*/
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static PyObject *
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_typing__idfunc(PyObject *module, PyObject *x)
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/*[clinic end generated code: output=63c38be4a6ec5f2c input=49f17284b43de451]*/
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{
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return Py_NewRef(x);
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}
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static PyMethodDef typing_methods[] = {
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_TYPING__IDFUNC_METHODDEF
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{NULL, NULL, 0, NULL}
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};
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PyDoc_STRVAR(typing_doc,
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"Accelerators for the typing module.\n");
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static struct PyModuleDef_Slot _typingmodule_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 typingmodule = {
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PyModuleDef_HEAD_INIT,
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"_typing",
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typing_doc,
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0,
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typing_methods,
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_typingmodule_slots,
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NULL,
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NULL,
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NULL
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};
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PyMODINIT_FUNC
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PyInit__typing(void)
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{
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return PyModuleDef_Init(&typingmodule);
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}
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