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gh-85283: Build _statistics extension with the limited C API (#116927)
Argument Clinic now inlines _PyArg_CheckPositional() for the limited C API. The generated code should be as fast or even a little bit faster.
This commit is contained in:
parent
0634201f53
commit
2982bdb936
4 changed files with 20 additions and 37 deletions
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@ -1482,7 +1482,8 @@ Build Changes
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* The ``errno``, ``fcntl``, ``grp``, ``md5``, ``pwd``, ``resource``,
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* The ``errno``, ``fcntl``, ``grp``, ``md5``, ``pwd``, ``resource``,
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``termios``, ``winsound``,
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``termios``, ``winsound``,
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``_ctypes_test``, ``_multiprocessing.posixshmem``, ``_scproxy``, ``_stat``,
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``_ctypes_test``, ``_multiprocessing.posixshmem``, ``_scproxy``, ``_stat``,
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``_testimportmultiple`` and ``_uuid`` C extensions are now built with the
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``_statistics``, ``_testimportmultiple`` and ``_uuid``
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C extensions are now built with the
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:ref:`limited C API <limited-c-api>`.
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:ref:`limited C API <limited-c-api>`.
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(Contributed by Victor Stinner in :gh:`85283`.)
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(Contributed by Victor Stinner in :gh:`85283`.)
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@ -1,2 +1,2 @@
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The ``fcntl``, ``grp``, ``pwd`` and ``termios`` C extensions are now
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The ``fcntl``, ``grp``, ``pwd``, ``termios`` and ``_statistics`` C extensions are now
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built with the :ref:`limited C API <limited-c-api>`. Patch by Victor Stinner.
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built with the :ref:`limited C API <limited-c-api>`. Patch by Victor Stinner.
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@ -1,8 +1,9 @@
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/* statistics accelerator C extension: _statistics module. */
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/* statistics accelerator C extension: _statistics module. */
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// clinic/_statisticsmodule.c.h uses internal pycore_modsupport.h API
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// Need limited C API version 3.12 for Py_MOD_PER_INTERPRETER_GIL_SUPPORTED
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#ifndef Py_BUILD_CORE_BUILTIN
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#include "pyconfig.h" // Py_GIL_DISABLED
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# define Py_BUILD_CORE_MODULE 1
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#ifndef Py_GIL_DISABLED
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# define Py_LIMITED_API 0x030c0000
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#endif
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#endif
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#include "Python.h"
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#include "Python.h"
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45
Modules/clinic/_statisticsmodule.c.h
generated
45
Modules/clinic/_statisticsmodule.c.h
generated
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@ -2,15 +2,13 @@
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preserve
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preserve
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[clinic start generated code]*/
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[clinic start generated code]*/
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#include "pycore_modsupport.h" // _PyArg_CheckPositional()
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PyDoc_STRVAR(_statistics__normal_dist_inv_cdf__doc__,
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PyDoc_STRVAR(_statistics__normal_dist_inv_cdf__doc__,
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"_normal_dist_inv_cdf($module, p, mu, sigma, /)\n"
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"_normal_dist_inv_cdf($module, p, mu, sigma, /)\n"
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"--\n"
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"--\n"
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"\n");
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"\n");
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#define _STATISTICS__NORMAL_DIST_INV_CDF_METHODDEF \
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#define _STATISTICS__NORMAL_DIST_INV_CDF_METHODDEF \
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{"_normal_dist_inv_cdf", _PyCFunction_CAST(_statistics__normal_dist_inv_cdf), METH_FASTCALL, _statistics__normal_dist_inv_cdf__doc__},
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{"_normal_dist_inv_cdf", (PyCFunction)(void(*)(void))_statistics__normal_dist_inv_cdf, METH_FASTCALL, _statistics__normal_dist_inv_cdf__doc__},
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static double
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static double
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_statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
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_statistics__normal_dist_inv_cdf_impl(PyObject *module, double p, double mu,
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@ -25,38 +23,21 @@ _statistics__normal_dist_inv_cdf(PyObject *module, PyObject *const *args, Py_ssi
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double sigma;
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double sigma;
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double _return_value;
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double _return_value;
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if (!_PyArg_CheckPositional("_normal_dist_inv_cdf", nargs, 3, 3)) {
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if (nargs != 3) {
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PyErr_Format(PyExc_TypeError, "_normal_dist_inv_cdf expected 3 arguments, got %zd", nargs);
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goto exit;
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goto exit;
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}
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}
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if (PyFloat_CheckExact(args[0])) {
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p = PyFloat_AsDouble(args[0]);
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p = PyFloat_AS_DOUBLE(args[0]);
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if (p == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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}
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else
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mu = PyFloat_AsDouble(args[1]);
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{
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if (mu == -1.0 && PyErr_Occurred()) {
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p = PyFloat_AsDouble(args[0]);
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goto exit;
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if (p == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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}
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}
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if (PyFloat_CheckExact(args[1])) {
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sigma = PyFloat_AsDouble(args[2]);
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mu = PyFloat_AS_DOUBLE(args[1]);
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if (sigma == -1.0 && PyErr_Occurred()) {
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}
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goto exit;
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else
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{
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mu = PyFloat_AsDouble(args[1]);
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if (mu == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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}
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if (PyFloat_CheckExact(args[2])) {
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sigma = PyFloat_AS_DOUBLE(args[2]);
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}
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else
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{
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sigma = PyFloat_AsDouble(args[2]);
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if (sigma == -1.0 && PyErr_Occurred()) {
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goto exit;
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}
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}
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}
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_return_value = _statistics__normal_dist_inv_cdf_impl(module, p, mu, sigma);
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_return_value = _statistics__normal_dist_inv_cdf_impl(module, p, mu, sigma);
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if ((_return_value == -1.0) && PyErr_Occurred()) {
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if ((_return_value == -1.0) && PyErr_Occurred()) {
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@ -67,4 +48,4 @@ _statistics__normal_dist_inv_cdf(PyObject *module, PyObject *const *args, Py_ssi
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exit:
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exit:
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return return_value;
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return return_value;
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}
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}
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/*[clinic end generated code: output=e7cead17f9f3e19f input=a9049054013a1b77]*/
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/*[clinic end generated code: output=0f0c849d51f16f1b input=a9049054013a1b77]*/
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