mirror of https://github.com/python/cpython
1601 lines
47 KiB
C
1601 lines
47 KiB
C
#include "Python.h"
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#include "pycore_call.h" // _PyObject_CallNoArgs()
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#include "pycore_dict.h" // _PyDict_Pop_KnownHash()
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#include "pycore_long.h" // _PyLong_GetZero()
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#include "pycore_moduleobject.h" // _PyModule_GetState()
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#include "pycore_object.h" // _PyObject_GC_TRACK
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#include "pycore_pystate.h" // _PyThreadState_GET()
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#include "pycore_tuple.h" // _PyTuple_ITEMS()
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#include "clinic/_functoolsmodule.c.h"
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/*[clinic input]
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module _functools
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class _functools._lru_cache_wrapper "PyObject *" "&lru_cache_type_spec"
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[clinic start generated code]*/
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/*[clinic end generated code: output=da39a3ee5e6b4b0d input=bece4053896b09c0]*/
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/* _functools module written and maintained
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by Hye-Shik Chang <perky@FreeBSD.org>
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with adaptations by Raymond Hettinger <python@rcn.com>
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Copyright (c) 2004, 2005, 2006 Python Software Foundation.
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All rights reserved.
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*/
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typedef struct _functools_state {
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/* this object is used delimit args and keywords in the cache keys */
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PyObject *kwd_mark;
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PyTypeObject *partial_type;
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PyTypeObject *keyobject_type;
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PyTypeObject *lru_list_elem_type;
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} _functools_state;
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static inline _functools_state *
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get_functools_state(PyObject *module)
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{
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void *state = _PyModule_GetState(module);
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assert(state != NULL);
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return (_functools_state *)state;
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}
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/* partial object **********************************************************/
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typedef struct {
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PyObject_HEAD
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PyObject *fn;
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PyObject *args;
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PyObject *kw;
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PyObject *dict; /* __dict__ */
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PyObject *weakreflist; /* List of weak references */
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vectorcallfunc vectorcall;
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} partialobject;
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static void partial_setvectorcall(partialobject *pto);
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static struct PyModuleDef _functools_module;
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static PyObject *
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partial_call(partialobject *pto, PyObject *args, PyObject *kwargs);
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static inline _functools_state *
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get_functools_state_by_type(PyTypeObject *type)
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{
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PyObject *module = PyType_GetModuleByDef(type, &_functools_module);
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if (module == NULL) {
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return NULL;
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}
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return get_functools_state(module);
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}
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// Not converted to argument clinic, because of `*args, **kwargs` arguments.
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static PyObject *
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partial_new(PyTypeObject *type, PyObject *args, PyObject *kw)
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{
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PyObject *func, *pargs, *nargs, *pkw;
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partialobject *pto;
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if (PyTuple_GET_SIZE(args) < 1) {
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PyErr_SetString(PyExc_TypeError,
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"type 'partial' takes at least one argument");
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return NULL;
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}
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_functools_state *state = get_functools_state_by_type(type);
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if (state == NULL) {
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return NULL;
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}
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pargs = pkw = NULL;
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func = PyTuple_GET_ITEM(args, 0);
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int res = PyObject_TypeCheck(func, state->partial_type);
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if (res == -1) {
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return NULL;
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}
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if (res == 1) {
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// We can use its underlying function directly and merge the arguments.
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partialobject *part = (partialobject *)func;
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if (part->dict == NULL) {
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pargs = part->args;
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pkw = part->kw;
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func = part->fn;
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assert(PyTuple_Check(pargs));
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assert(PyDict_Check(pkw));
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}
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}
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if (!PyCallable_Check(func)) {
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PyErr_SetString(PyExc_TypeError,
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"the first argument must be callable");
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return NULL;
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}
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/* create partialobject structure */
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pto = (partialobject *)type->tp_alloc(type, 0);
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if (pto == NULL)
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return NULL;
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pto->fn = Py_NewRef(func);
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nargs = PyTuple_GetSlice(args, 1, PY_SSIZE_T_MAX);
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if (nargs == NULL) {
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Py_DECREF(pto);
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return NULL;
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}
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if (pargs == NULL) {
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pto->args = nargs;
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}
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else {
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pto->args = PySequence_Concat(pargs, nargs);
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Py_DECREF(nargs);
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if (pto->args == NULL) {
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Py_DECREF(pto);
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return NULL;
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}
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assert(PyTuple_Check(pto->args));
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}
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if (pkw == NULL || PyDict_GET_SIZE(pkw) == 0) {
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if (kw == NULL) {
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pto->kw = PyDict_New();
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}
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else if (Py_REFCNT(kw) == 1) {
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pto->kw = Py_NewRef(kw);
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}
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else {
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pto->kw = PyDict_Copy(kw);
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}
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}
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else {
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pto->kw = PyDict_Copy(pkw);
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if (kw != NULL && pto->kw != NULL) {
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if (PyDict_Merge(pto->kw, kw, 1) != 0) {
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Py_DECREF(pto);
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return NULL;
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}
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}
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}
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if (pto->kw == NULL) {
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Py_DECREF(pto);
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return NULL;
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}
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partial_setvectorcall(pto);
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return (PyObject *)pto;
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}
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static int
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partial_clear(partialobject *pto)
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{
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Py_CLEAR(pto->fn);
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Py_CLEAR(pto->args);
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Py_CLEAR(pto->kw);
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Py_CLEAR(pto->dict);
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return 0;
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}
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static int
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partial_traverse(partialobject *pto, visitproc visit, void *arg)
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{
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Py_VISIT(Py_TYPE(pto));
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Py_VISIT(pto->fn);
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Py_VISIT(pto->args);
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Py_VISIT(pto->kw);
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Py_VISIT(pto->dict);
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return 0;
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}
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static void
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partial_dealloc(partialobject *pto)
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{
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PyTypeObject *tp = Py_TYPE(pto);
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/* bpo-31095: UnTrack is needed before calling any callbacks */
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PyObject_GC_UnTrack(pto);
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if (pto->weakreflist != NULL) {
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PyObject_ClearWeakRefs((PyObject *) pto);
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}
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(void)partial_clear(pto);
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tp->tp_free(pto);
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Py_DECREF(tp);
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}
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static PyObject *
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partial_descr_get(PyObject *self, PyObject *obj, PyObject *type)
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{
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if (obj == Py_None || obj == NULL) {
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return Py_NewRef(self);
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}
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if (PyErr_WarnEx(PyExc_FutureWarning,
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"functools.partial will be a method descriptor in "
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"future Python versions; wrap it in staticmethod() "
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"if you want to preserve the old behavior", 1) < 0)
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{
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return NULL;
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}
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return Py_NewRef(self);
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}
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/* Merging keyword arguments using the vectorcall convention is messy, so
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* if we would need to do that, we stop using vectorcall and fall back
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* to using partial_call() instead. */
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Py_NO_INLINE static PyObject *
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partial_vectorcall_fallback(PyThreadState *tstate, partialobject *pto,
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PyObject *const *args, size_t nargsf,
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PyObject *kwnames)
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{
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pto->vectorcall = NULL;
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Py_ssize_t nargs = PyVectorcall_NARGS(nargsf);
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return _PyObject_MakeTpCall(tstate, (PyObject *)pto,
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args, nargs, kwnames);
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}
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static PyObject *
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partial_vectorcall(partialobject *pto, PyObject *const *args,
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size_t nargsf, PyObject *kwnames)
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{
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PyThreadState *tstate = _PyThreadState_GET();
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/* pto->kw is mutable, so need to check every time */
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if (PyDict_GET_SIZE(pto->kw)) {
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return partial_vectorcall_fallback(tstate, pto, args, nargsf, kwnames);
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}
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Py_ssize_t nargs = PyVectorcall_NARGS(nargsf);
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Py_ssize_t nargs_total = nargs;
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if (kwnames != NULL) {
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nargs_total += PyTuple_GET_SIZE(kwnames);
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}
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PyObject **pto_args = _PyTuple_ITEMS(pto->args);
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Py_ssize_t pto_nargs = PyTuple_GET_SIZE(pto->args);
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/* Fast path if we're called without arguments */
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if (nargs_total == 0) {
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return _PyObject_VectorcallTstate(tstate, pto->fn,
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pto_args, pto_nargs, NULL);
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}
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/* Fast path using PY_VECTORCALL_ARGUMENTS_OFFSET to prepend a single
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* positional argument */
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if (pto_nargs == 1 && (nargsf & PY_VECTORCALL_ARGUMENTS_OFFSET)) {
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PyObject **newargs = (PyObject **)args - 1;
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PyObject *tmp = newargs[0];
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newargs[0] = pto_args[0];
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PyObject *ret = _PyObject_VectorcallTstate(tstate, pto->fn,
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newargs, nargs + 1, kwnames);
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newargs[0] = tmp;
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return ret;
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}
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Py_ssize_t newnargs_total = pto_nargs + nargs_total;
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PyObject *small_stack[_PY_FASTCALL_SMALL_STACK];
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PyObject *ret;
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PyObject **stack;
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if (newnargs_total <= (Py_ssize_t)Py_ARRAY_LENGTH(small_stack)) {
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stack = small_stack;
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}
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else {
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stack = PyMem_Malloc(newnargs_total * sizeof(PyObject *));
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if (stack == NULL) {
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PyErr_NoMemory();
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return NULL;
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}
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}
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|
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/* Copy to new stack, using borrowed references */
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memcpy(stack, pto_args, pto_nargs * sizeof(PyObject*));
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memcpy(stack + pto_nargs, args, nargs_total * sizeof(PyObject*));
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ret = _PyObject_VectorcallTstate(tstate, pto->fn,
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stack, pto_nargs + nargs, kwnames);
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if (stack != small_stack) {
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PyMem_Free(stack);
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}
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return ret;
|
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}
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|
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/* Set pto->vectorcall depending on the parameters of the partial object */
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static void
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partial_setvectorcall(partialobject *pto)
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{
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if (PyVectorcall_Function(pto->fn) == NULL) {
|
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/* Don't use vectorcall if the underlying function doesn't support it */
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pto->vectorcall = NULL;
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}
|
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/* We could have a special case if there are no arguments,
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* but that is unlikely (why use partial without arguments?),
|
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* so we don't optimize that */
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else {
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pto->vectorcall = (vectorcallfunc)partial_vectorcall;
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}
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}
|
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|
|
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// Not converted to argument clinic, because of `*args, **kwargs` arguments.
|
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static PyObject *
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partial_call(partialobject *pto, PyObject *args, PyObject *kwargs)
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{
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assert(PyCallable_Check(pto->fn));
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assert(PyTuple_Check(pto->args));
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assert(PyDict_Check(pto->kw));
|
|
|
|
/* Merge keywords */
|
|
PyObject *kwargs2;
|
|
if (PyDict_GET_SIZE(pto->kw) == 0) {
|
|
/* kwargs can be NULL */
|
|
kwargs2 = Py_XNewRef(kwargs);
|
|
}
|
|
else {
|
|
/* bpo-27840, bpo-29318: dictionary of keyword parameters must be
|
|
copied, because a function using "**kwargs" can modify the
|
|
dictionary. */
|
|
kwargs2 = PyDict_Copy(pto->kw);
|
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if (kwargs2 == NULL) {
|
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return NULL;
|
|
}
|
|
|
|
if (kwargs != NULL) {
|
|
if (PyDict_Merge(kwargs2, kwargs, 1) != 0) {
|
|
Py_DECREF(kwargs2);
|
|
return NULL;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Merge positional arguments */
|
|
/* Note: tupleconcat() is optimized for empty tuples */
|
|
PyObject *args2 = PySequence_Concat(pto->args, args);
|
|
if (args2 == NULL) {
|
|
Py_XDECREF(kwargs2);
|
|
return NULL;
|
|
}
|
|
|
|
PyObject *res = PyObject_Call(pto->fn, args2, kwargs2);
|
|
Py_DECREF(args2);
|
|
Py_XDECREF(kwargs2);
|
|
return res;
|
|
}
|
|
|
|
PyDoc_STRVAR(partial_doc,
|
|
"partial(func, /, *args, **keywords)\n--\n\n\
|
|
Create a new function with partial application of the given arguments\n\
|
|
and keywords.");
|
|
|
|
#define OFF(x) offsetof(partialobject, x)
|
|
static PyMemberDef partial_memberlist[] = {
|
|
{"func", _Py_T_OBJECT, OFF(fn), Py_READONLY,
|
|
"function object to use in future partial calls"},
|
|
{"args", _Py_T_OBJECT, OFF(args), Py_READONLY,
|
|
"tuple of arguments to future partial calls"},
|
|
{"keywords", _Py_T_OBJECT, OFF(kw), Py_READONLY,
|
|
"dictionary of keyword arguments to future partial calls"},
|
|
{"__weaklistoffset__", Py_T_PYSSIZET,
|
|
offsetof(partialobject, weakreflist), Py_READONLY},
|
|
{"__dictoffset__", Py_T_PYSSIZET,
|
|
offsetof(partialobject, dict), Py_READONLY},
|
|
{"__vectorcalloffset__", Py_T_PYSSIZET,
|
|
offsetof(partialobject, vectorcall), Py_READONLY},
|
|
{NULL} /* Sentinel */
|
|
};
|
|
|
|
static PyGetSetDef partial_getsetlist[] = {
|
|
{"__dict__", PyObject_GenericGetDict, PyObject_GenericSetDict},
|
|
{NULL} /* Sentinel */
|
|
};
|
|
|
|
static PyObject *
|
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partial_repr(partialobject *pto)
|
|
{
|
|
PyObject *result = NULL;
|
|
PyObject *arglist;
|
|
PyObject *mod;
|
|
PyObject *name;
|
|
Py_ssize_t i, n;
|
|
PyObject *key, *value;
|
|
int status;
|
|
|
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status = Py_ReprEnter((PyObject *)pto);
|
|
if (status != 0) {
|
|
if (status < 0)
|
|
return NULL;
|
|
return PyUnicode_FromString("...");
|
|
}
|
|
|
|
arglist = PyUnicode_FromString("");
|
|
if (arglist == NULL)
|
|
goto done;
|
|
/* Pack positional arguments */
|
|
assert (PyTuple_Check(pto->args));
|
|
n = PyTuple_GET_SIZE(pto->args);
|
|
for (i = 0; i < n; i++) {
|
|
Py_SETREF(arglist, PyUnicode_FromFormat("%U, %R", arglist,
|
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PyTuple_GET_ITEM(pto->args, i)));
|
|
if (arglist == NULL)
|
|
goto done;
|
|
}
|
|
/* Pack keyword arguments */
|
|
assert (PyDict_Check(pto->kw));
|
|
for (i = 0; PyDict_Next(pto->kw, &i, &key, &value);) {
|
|
/* Prevent key.__str__ from deleting the value. */
|
|
Py_INCREF(value);
|
|
Py_SETREF(arglist, PyUnicode_FromFormat("%U, %S=%R", arglist,
|
|
key, value));
|
|
Py_DECREF(value);
|
|
if (arglist == NULL)
|
|
goto done;
|
|
}
|
|
|
|
mod = PyType_GetModuleName(Py_TYPE(pto));
|
|
if (mod == NULL) {
|
|
goto error;
|
|
}
|
|
name = PyType_GetQualName(Py_TYPE(pto));
|
|
if (name == NULL) {
|
|
Py_DECREF(mod);
|
|
goto error;
|
|
}
|
|
result = PyUnicode_FromFormat("%S.%S(%R%U)", mod, name, pto->fn, arglist);
|
|
Py_DECREF(mod);
|
|
Py_DECREF(name);
|
|
Py_DECREF(arglist);
|
|
|
|
done:
|
|
Py_ReprLeave((PyObject *)pto);
|
|
return result;
|
|
error:
|
|
Py_DECREF(arglist);
|
|
Py_ReprLeave((PyObject *)pto);
|
|
return NULL;
|
|
}
|
|
|
|
/* Pickle strategy:
|
|
__reduce__ by itself doesn't support getting kwargs in the unpickle
|
|
operation so we define a __setstate__ that replaces all the information
|
|
about the partial. If we only replaced part of it someone would use
|
|
it as a hook to do strange things.
|
|
*/
|
|
|
|
static PyObject *
|
|
partial_reduce(partialobject *pto, PyObject *unused)
|
|
{
|
|
return Py_BuildValue("O(O)(OOOO)", Py_TYPE(pto), pto->fn, pto->fn,
|
|
pto->args, pto->kw,
|
|
pto->dict ? pto->dict : Py_None);
|
|
}
|
|
|
|
static PyObject *
|
|
partial_setstate(partialobject *pto, PyObject *state)
|
|
{
|
|
PyObject *fn, *fnargs, *kw, *dict;
|
|
|
|
if (!PyTuple_Check(state) ||
|
|
!PyArg_ParseTuple(state, "OOOO", &fn, &fnargs, &kw, &dict) ||
|
|
!PyCallable_Check(fn) ||
|
|
!PyTuple_Check(fnargs) ||
|
|
(kw != Py_None && !PyDict_Check(kw)))
|
|
{
|
|
PyErr_SetString(PyExc_TypeError, "invalid partial state");
|
|
return NULL;
|
|
}
|
|
|
|
if(!PyTuple_CheckExact(fnargs))
|
|
fnargs = PySequence_Tuple(fnargs);
|
|
else
|
|
Py_INCREF(fnargs);
|
|
if (fnargs == NULL)
|
|
return NULL;
|
|
|
|
if (kw == Py_None)
|
|
kw = PyDict_New();
|
|
else if(!PyDict_CheckExact(kw))
|
|
kw = PyDict_Copy(kw);
|
|
else
|
|
Py_INCREF(kw);
|
|
if (kw == NULL) {
|
|
Py_DECREF(fnargs);
|
|
return NULL;
|
|
}
|
|
|
|
if (dict == Py_None)
|
|
dict = NULL;
|
|
else
|
|
Py_INCREF(dict);
|
|
|
|
Py_SETREF(pto->fn, Py_NewRef(fn));
|
|
Py_SETREF(pto->args, fnargs);
|
|
Py_SETREF(pto->kw, kw);
|
|
Py_XSETREF(pto->dict, dict);
|
|
partial_setvectorcall(pto);
|
|
Py_RETURN_NONE;
|
|
}
|
|
|
|
static PyMethodDef partial_methods[] = {
|
|
{"__reduce__", (PyCFunction)partial_reduce, METH_NOARGS},
|
|
{"__setstate__", (PyCFunction)partial_setstate, METH_O},
|
|
{"__class_getitem__", Py_GenericAlias,
|
|
METH_O|METH_CLASS, PyDoc_STR("See PEP 585")},
|
|
{NULL, NULL} /* sentinel */
|
|
};
|
|
|
|
static PyType_Slot partial_type_slots[] = {
|
|
{Py_tp_dealloc, partial_dealloc},
|
|
{Py_tp_repr, partial_repr},
|
|
{Py_tp_call, partial_call},
|
|
{Py_tp_getattro, PyObject_GenericGetAttr},
|
|
{Py_tp_setattro, PyObject_GenericSetAttr},
|
|
{Py_tp_doc, (void *)partial_doc},
|
|
{Py_tp_traverse, partial_traverse},
|
|
{Py_tp_clear, partial_clear},
|
|
{Py_tp_methods, partial_methods},
|
|
{Py_tp_members, partial_memberlist},
|
|
{Py_tp_getset, partial_getsetlist},
|
|
{Py_tp_descr_get, (descrgetfunc)partial_descr_get},
|
|
{Py_tp_new, partial_new},
|
|
{Py_tp_free, PyObject_GC_Del},
|
|
{0, 0}
|
|
};
|
|
|
|
static PyType_Spec partial_type_spec = {
|
|
.name = "functools.partial",
|
|
.basicsize = sizeof(partialobject),
|
|
.flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
|
|
Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_VECTORCALL |
|
|
Py_TPFLAGS_IMMUTABLETYPE,
|
|
.slots = partial_type_slots
|
|
};
|
|
|
|
|
|
/* cmp_to_key ***************************************************************/
|
|
|
|
typedef struct {
|
|
PyObject_HEAD
|
|
PyObject *cmp;
|
|
PyObject *object;
|
|
} keyobject;
|
|
|
|
static int
|
|
keyobject_clear(keyobject *ko)
|
|
{
|
|
Py_CLEAR(ko->cmp);
|
|
Py_CLEAR(ko->object);
|
|
return 0;
|
|
}
|
|
|
|
static void
|
|
keyobject_dealloc(keyobject *ko)
|
|
{
|
|
PyTypeObject *tp = Py_TYPE(ko);
|
|
PyObject_GC_UnTrack(ko);
|
|
(void)keyobject_clear(ko);
|
|
tp->tp_free(ko);
|
|
Py_DECREF(tp);
|
|
}
|
|
|
|
static int
|
|
keyobject_traverse(keyobject *ko, visitproc visit, void *arg)
|
|
{
|
|
Py_VISIT(Py_TYPE(ko));
|
|
Py_VISIT(ko->cmp);
|
|
Py_VISIT(ko->object);
|
|
return 0;
|
|
}
|
|
|
|
static PyMemberDef keyobject_members[] = {
|
|
{"obj", _Py_T_OBJECT,
|
|
offsetof(keyobject, object), 0,
|
|
PyDoc_STR("Value wrapped by a key function.")},
|
|
{NULL}
|
|
};
|
|
|
|
static PyObject *
|
|
keyobject_text_signature(PyObject *self, void *Py_UNUSED(ignored))
|
|
{
|
|
return PyUnicode_FromString("(obj)");
|
|
}
|
|
|
|
static PyGetSetDef keyobject_getset[] = {
|
|
{"__text_signature__", keyobject_text_signature, (setter)NULL},
|
|
{NULL}
|
|
};
|
|
|
|
static PyObject *
|
|
keyobject_call(keyobject *ko, PyObject *args, PyObject *kwds);
|
|
|
|
static PyObject *
|
|
keyobject_richcompare(PyObject *ko, PyObject *other, int op);
|
|
|
|
static PyType_Slot keyobject_type_slots[] = {
|
|
{Py_tp_dealloc, keyobject_dealloc},
|
|
{Py_tp_call, keyobject_call},
|
|
{Py_tp_getattro, PyObject_GenericGetAttr},
|
|
{Py_tp_traverse, keyobject_traverse},
|
|
{Py_tp_clear, keyobject_clear},
|
|
{Py_tp_richcompare, keyobject_richcompare},
|
|
{Py_tp_members, keyobject_members},
|
|
{Py_tp_getset, keyobject_getset},
|
|
{0, 0}
|
|
};
|
|
|
|
static PyType_Spec keyobject_type_spec = {
|
|
.name = "functools.KeyWrapper",
|
|
.basicsize = sizeof(keyobject),
|
|
.flags = (Py_TPFLAGS_DEFAULT | Py_TPFLAGS_DISALLOW_INSTANTIATION |
|
|
Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_IMMUTABLETYPE),
|
|
.slots = keyobject_type_slots
|
|
};
|
|
|
|
static PyObject *
|
|
keyobject_call(keyobject *ko, PyObject *args, PyObject *kwds)
|
|
{
|
|
PyObject *object;
|
|
keyobject *result;
|
|
static char *kwargs[] = {"obj", NULL};
|
|
|
|
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O:K", kwargs, &object))
|
|
return NULL;
|
|
|
|
result = PyObject_GC_New(keyobject, Py_TYPE(ko));
|
|
if (result == NULL) {
|
|
return NULL;
|
|
}
|
|
result->cmp = Py_NewRef(ko->cmp);
|
|
result->object = Py_NewRef(object);
|
|
PyObject_GC_Track(result);
|
|
return (PyObject *)result;
|
|
}
|
|
|
|
static PyObject *
|
|
keyobject_richcompare(PyObject *ko, PyObject *other, int op)
|
|
{
|
|
if (!Py_IS_TYPE(other, Py_TYPE(ko))) {
|
|
PyErr_Format(PyExc_TypeError, "other argument must be K instance");
|
|
return NULL;
|
|
}
|
|
|
|
PyObject *compare = ((keyobject *) ko)->cmp;
|
|
assert(compare != NULL);
|
|
PyObject *x = ((keyobject *) ko)->object;
|
|
PyObject *y = ((keyobject *) other)->object;
|
|
if (!x || !y){
|
|
PyErr_Format(PyExc_AttributeError, "object");
|
|
return NULL;
|
|
}
|
|
|
|
/* Call the user's comparison function and translate the 3-way
|
|
* result into true or false (or error).
|
|
*/
|
|
PyObject* args[2] = {x, y};
|
|
PyObject *res = PyObject_Vectorcall(compare, args, 2, NULL);
|
|
if (res == NULL) {
|
|
return NULL;
|
|
}
|
|
|
|
PyObject *answer = PyObject_RichCompare(res, _PyLong_GetZero(), op);
|
|
Py_DECREF(res);
|
|
return answer;
|
|
}
|
|
|
|
/*[clinic input]
|
|
_functools.cmp_to_key
|
|
|
|
mycmp: object
|
|
Function that compares two objects.
|
|
|
|
Convert a cmp= function into a key= function.
|
|
[clinic start generated code]*/
|
|
|
|
static PyObject *
|
|
_functools_cmp_to_key_impl(PyObject *module, PyObject *mycmp)
|
|
/*[clinic end generated code: output=71eaad0f4fc81f33 input=d1b76f231c0dfeb3]*/
|
|
{
|
|
keyobject *object;
|
|
_functools_state *state;
|
|
|
|
state = get_functools_state(module);
|
|
object = PyObject_GC_New(keyobject, state->keyobject_type);
|
|
if (!object)
|
|
return NULL;
|
|
object->cmp = Py_NewRef(mycmp);
|
|
object->object = NULL;
|
|
PyObject_GC_Track(object);
|
|
return (PyObject *)object;
|
|
}
|
|
|
|
/* reduce (used to be a builtin) ********************************************/
|
|
|
|
// Not converted to argument clinic, because of `args` in-place modification.
|
|
// AC will affect performance.
|
|
static PyObject *
|
|
functools_reduce(PyObject *self, PyObject *args)
|
|
{
|
|
PyObject *seq, *func, *result = NULL, *it;
|
|
|
|
if (!PyArg_UnpackTuple(args, "reduce", 2, 3, &func, &seq, &result))
|
|
return NULL;
|
|
if (result != NULL)
|
|
Py_INCREF(result);
|
|
|
|
it = PyObject_GetIter(seq);
|
|
if (it == NULL) {
|
|
if (PyErr_ExceptionMatches(PyExc_TypeError))
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"reduce() arg 2 must support iteration");
|
|
Py_XDECREF(result);
|
|
return NULL;
|
|
}
|
|
|
|
if ((args = PyTuple_New(2)) == NULL)
|
|
goto Fail;
|
|
|
|
for (;;) {
|
|
PyObject *op2;
|
|
|
|
if (Py_REFCNT(args) > 1) {
|
|
Py_DECREF(args);
|
|
if ((args = PyTuple_New(2)) == NULL)
|
|
goto Fail;
|
|
}
|
|
|
|
op2 = PyIter_Next(it);
|
|
if (op2 == NULL) {
|
|
if (PyErr_Occurred())
|
|
goto Fail;
|
|
break;
|
|
}
|
|
|
|
if (result == NULL)
|
|
result = op2;
|
|
else {
|
|
/* Update the args tuple in-place */
|
|
assert(Py_REFCNT(args) == 1);
|
|
Py_XSETREF(_PyTuple_ITEMS(args)[0], result);
|
|
Py_XSETREF(_PyTuple_ITEMS(args)[1], op2);
|
|
if ((result = PyObject_Call(func, args, NULL)) == NULL) {
|
|
goto Fail;
|
|
}
|
|
// bpo-42536: The GC may have untracked this args tuple. Since we're
|
|
// recycling it, make sure it's tracked again:
|
|
if (!_PyObject_GC_IS_TRACKED(args)) {
|
|
_PyObject_GC_TRACK(args);
|
|
}
|
|
}
|
|
}
|
|
|
|
Py_DECREF(args);
|
|
|
|
if (result == NULL)
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"reduce() of empty iterable with no initial value");
|
|
|
|
Py_DECREF(it);
|
|
return result;
|
|
|
|
Fail:
|
|
Py_XDECREF(args);
|
|
Py_XDECREF(result);
|
|
Py_DECREF(it);
|
|
return NULL;
|
|
}
|
|
|
|
PyDoc_STRVAR(functools_reduce_doc,
|
|
"reduce(function, iterable[, initial], /) -> value\n\
|
|
\n\
|
|
Apply a function of two arguments cumulatively to the items of an iterable, from left to right.\n\
|
|
\n\
|
|
This effectively reduces the iterable to a single value. If initial is present,\n\
|
|
it is placed before the items of the iterable in the calculation, and serves as\n\
|
|
a default when the iterable is empty.\n\
|
|
\n\
|
|
For example, reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])\n\
|
|
calculates ((((1 + 2) + 3) + 4) + 5).");
|
|
|
|
/* lru_cache object **********************************************************/
|
|
|
|
/* There are four principal algorithmic differences from the pure python version:
|
|
|
|
1). The C version relies on the GIL instead of having its own reentrant lock.
|
|
|
|
2). The prev/next link fields use borrowed references.
|
|
|
|
3). For a full cache, the pure python version rotates the location of the
|
|
root entry so that it never has to move individual links and it can
|
|
limit updates to just the key and result fields. However, in the C
|
|
version, links are temporarily removed while the cache dict updates are
|
|
occurring. Afterwards, they are appended or prepended back into the
|
|
doubly-linked lists.
|
|
|
|
4) In the Python version, the _HashSeq class is used to prevent __hash__
|
|
from being called more than once. In the C version, the "known hash"
|
|
variants of dictionary calls as used to the same effect.
|
|
|
|
*/
|
|
|
|
struct lru_list_elem;
|
|
struct lru_cache_object;
|
|
|
|
typedef struct lru_list_elem {
|
|
PyObject_HEAD
|
|
struct lru_list_elem *prev, *next; /* borrowed links */
|
|
Py_hash_t hash;
|
|
PyObject *key, *result;
|
|
} lru_list_elem;
|
|
|
|
static void
|
|
lru_list_elem_dealloc(lru_list_elem *link)
|
|
{
|
|
PyTypeObject *tp = Py_TYPE(link);
|
|
Py_XDECREF(link->key);
|
|
Py_XDECREF(link->result);
|
|
tp->tp_free(link);
|
|
Py_DECREF(tp);
|
|
}
|
|
|
|
static PyType_Slot lru_list_elem_type_slots[] = {
|
|
{Py_tp_dealloc, lru_list_elem_dealloc},
|
|
{0, 0}
|
|
};
|
|
|
|
static PyType_Spec lru_list_elem_type_spec = {
|
|
.name = "functools._lru_list_elem",
|
|
.basicsize = sizeof(lru_list_elem),
|
|
.flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_DISALLOW_INSTANTIATION |
|
|
Py_TPFLAGS_IMMUTABLETYPE,
|
|
.slots = lru_list_elem_type_slots
|
|
};
|
|
|
|
|
|
typedef PyObject *(*lru_cache_ternaryfunc)(struct lru_cache_object *, PyObject *, PyObject *);
|
|
|
|
typedef struct lru_cache_object {
|
|
lru_list_elem root; /* includes PyObject_HEAD */
|
|
lru_cache_ternaryfunc wrapper;
|
|
int typed;
|
|
PyObject *cache;
|
|
Py_ssize_t hits;
|
|
PyObject *func;
|
|
Py_ssize_t maxsize;
|
|
Py_ssize_t misses;
|
|
/* the kwd_mark is used delimit args and keywords in the cache keys */
|
|
PyObject *kwd_mark;
|
|
PyTypeObject *lru_list_elem_type;
|
|
PyObject *cache_info_type;
|
|
PyObject *dict;
|
|
PyObject *weakreflist;
|
|
} lru_cache_object;
|
|
|
|
static PyObject *
|
|
lru_cache_make_key(PyObject *kwd_mark, PyObject *args,
|
|
PyObject *kwds, int typed)
|
|
{
|
|
PyObject *key, *keyword, *value;
|
|
Py_ssize_t key_size, pos, key_pos, kwds_size;
|
|
|
|
kwds_size = kwds ? PyDict_GET_SIZE(kwds) : 0;
|
|
|
|
/* short path, key will match args anyway, which is a tuple */
|
|
if (!typed && !kwds_size) {
|
|
if (PyTuple_GET_SIZE(args) == 1) {
|
|
key = PyTuple_GET_ITEM(args, 0);
|
|
if (PyUnicode_CheckExact(key) || PyLong_CheckExact(key)) {
|
|
/* For common scalar keys, save space by
|
|
dropping the enclosing args tuple */
|
|
return Py_NewRef(key);
|
|
}
|
|
}
|
|
return Py_NewRef(args);
|
|
}
|
|
|
|
key_size = PyTuple_GET_SIZE(args);
|
|
if (kwds_size)
|
|
key_size += kwds_size * 2 + 1;
|
|
if (typed)
|
|
key_size += PyTuple_GET_SIZE(args) + kwds_size;
|
|
|
|
key = PyTuple_New(key_size);
|
|
if (key == NULL)
|
|
return NULL;
|
|
|
|
key_pos = 0;
|
|
for (pos = 0; pos < PyTuple_GET_SIZE(args); ++pos) {
|
|
PyObject *item = PyTuple_GET_ITEM(args, pos);
|
|
PyTuple_SET_ITEM(key, key_pos++, Py_NewRef(item));
|
|
}
|
|
if (kwds_size) {
|
|
PyTuple_SET_ITEM(key, key_pos++, Py_NewRef(kwd_mark));
|
|
for (pos = 0; PyDict_Next(kwds, &pos, &keyword, &value);) {
|
|
PyTuple_SET_ITEM(key, key_pos++, Py_NewRef(keyword));
|
|
PyTuple_SET_ITEM(key, key_pos++, Py_NewRef(value));
|
|
}
|
|
assert(key_pos == PyTuple_GET_SIZE(args) + kwds_size * 2 + 1);
|
|
}
|
|
if (typed) {
|
|
for (pos = 0; pos < PyTuple_GET_SIZE(args); ++pos) {
|
|
PyObject *item = (PyObject *)Py_TYPE(PyTuple_GET_ITEM(args, pos));
|
|
PyTuple_SET_ITEM(key, key_pos++, Py_NewRef(item));
|
|
}
|
|
if (kwds_size) {
|
|
for (pos = 0; PyDict_Next(kwds, &pos, &keyword, &value);) {
|
|
PyObject *item = (PyObject *)Py_TYPE(value);
|
|
PyTuple_SET_ITEM(key, key_pos++, Py_NewRef(item));
|
|
}
|
|
}
|
|
}
|
|
assert(key_pos == key_size);
|
|
return key;
|
|
}
|
|
|
|
static PyObject *
|
|
uncached_lru_cache_wrapper(lru_cache_object *self, PyObject *args, PyObject *kwds)
|
|
{
|
|
PyObject *result;
|
|
|
|
self->misses++;
|
|
result = PyObject_Call(self->func, args, kwds);
|
|
if (!result)
|
|
return NULL;
|
|
return result;
|
|
}
|
|
|
|
static PyObject *
|
|
infinite_lru_cache_wrapper(lru_cache_object *self, PyObject *args, PyObject *kwds)
|
|
{
|
|
PyObject *result;
|
|
Py_hash_t hash;
|
|
PyObject *key = lru_cache_make_key(self->kwd_mark, args, kwds, self->typed);
|
|
if (!key)
|
|
return NULL;
|
|
hash = PyObject_Hash(key);
|
|
if (hash == -1) {
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
result = _PyDict_GetItem_KnownHash(self->cache, key, hash);
|
|
if (result) {
|
|
Py_INCREF(result);
|
|
self->hits++;
|
|
Py_DECREF(key);
|
|
return result;
|
|
}
|
|
if (PyErr_Occurred()) {
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
self->misses++;
|
|
result = PyObject_Call(self->func, args, kwds);
|
|
if (!result) {
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
if (_PyDict_SetItem_KnownHash(self->cache, key, result, hash) < 0) {
|
|
Py_DECREF(result);
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
Py_DECREF(key);
|
|
return result;
|
|
}
|
|
|
|
static void
|
|
lru_cache_extract_link(lru_list_elem *link)
|
|
{
|
|
lru_list_elem *link_prev = link->prev;
|
|
lru_list_elem *link_next = link->next;
|
|
link_prev->next = link->next;
|
|
link_next->prev = link->prev;
|
|
}
|
|
|
|
static void
|
|
lru_cache_append_link(lru_cache_object *self, lru_list_elem *link)
|
|
{
|
|
lru_list_elem *root = &self->root;
|
|
lru_list_elem *last = root->prev;
|
|
last->next = root->prev = link;
|
|
link->prev = last;
|
|
link->next = root;
|
|
}
|
|
|
|
static void
|
|
lru_cache_prepend_link(lru_cache_object *self, lru_list_elem *link)
|
|
{
|
|
lru_list_elem *root = &self->root;
|
|
lru_list_elem *first = root->next;
|
|
first->prev = root->next = link;
|
|
link->prev = root;
|
|
link->next = first;
|
|
}
|
|
|
|
/* General note on reentrancy:
|
|
|
|
There are four dictionary calls in the bounded_lru_cache_wrapper():
|
|
1) The initial check for a cache match. 2) The post user-function
|
|
check for a cache match. 3) The deletion of the oldest entry.
|
|
4) The addition of the newest entry.
|
|
|
|
In all four calls, we have a known hash which lets use avoid a call
|
|
to __hash__(). That leaves only __eq__ as a possible source of a
|
|
reentrant call.
|
|
|
|
The __eq__ method call is always made for a cache hit (dict access #1).
|
|
Accordingly, we have make sure not modify the cache state prior to
|
|
this call.
|
|
|
|
The __eq__ method call is never made for the deletion (dict access #3)
|
|
because it is an identity match.
|
|
|
|
For the other two accesses (#2 and #4), calls to __eq__ only occur
|
|
when some other entry happens to have an exactly matching hash (all
|
|
64-bits). Though rare, this can happen, so we have to make sure to
|
|
either call it at the top of its code path before any cache
|
|
state modifications (dict access #2) or be prepared to restore
|
|
invariants at the end of the code path (dict access #4).
|
|
|
|
Another possible source of reentrancy is a decref which can trigger
|
|
arbitrary code execution. To make the code easier to reason about,
|
|
the decrefs are deferred to the end of the each possible code path
|
|
so that we know the cache is a consistent state.
|
|
*/
|
|
|
|
static PyObject *
|
|
bounded_lru_cache_wrapper(lru_cache_object *self, PyObject *args, PyObject *kwds)
|
|
{
|
|
lru_list_elem *link;
|
|
PyObject *key, *result, *testresult;
|
|
Py_hash_t hash;
|
|
|
|
key = lru_cache_make_key(self->kwd_mark, args, kwds, self->typed);
|
|
if (!key)
|
|
return NULL;
|
|
hash = PyObject_Hash(key);
|
|
if (hash == -1) {
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
link = (lru_list_elem *)_PyDict_GetItem_KnownHash(self->cache, key, hash);
|
|
if (link != NULL) {
|
|
lru_cache_extract_link(link);
|
|
lru_cache_append_link(self, link);
|
|
result = link->result;
|
|
self->hits++;
|
|
Py_INCREF(result);
|
|
Py_DECREF(key);
|
|
return result;
|
|
}
|
|
if (PyErr_Occurred()) {
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
self->misses++;
|
|
result = PyObject_Call(self->func, args, kwds);
|
|
if (!result) {
|
|
Py_DECREF(key);
|
|
return NULL;
|
|
}
|
|
testresult = _PyDict_GetItem_KnownHash(self->cache, key, hash);
|
|
if (testresult != NULL) {
|
|
/* Getting here means that this same key was added to the cache
|
|
during the PyObject_Call(). Since the link update is already
|
|
done, we need only return the computed result. */
|
|
Py_DECREF(key);
|
|
return result;
|
|
}
|
|
if (PyErr_Occurred()) {
|
|
/* This is an unusual case since this same lookup
|
|
did not previously trigger an error during lookup.
|
|
Treat it the same as an error in user function
|
|
and return with the error set. */
|
|
Py_DECREF(key);
|
|
Py_DECREF(result);
|
|
return NULL;
|
|
}
|
|
/* This is the normal case. The new key wasn't found before
|
|
user function call and it is still not there. So we
|
|
proceed normally and update the cache with the new result. */
|
|
|
|
assert(self->maxsize > 0);
|
|
if (PyDict_GET_SIZE(self->cache) < self->maxsize ||
|
|
self->root.next == &self->root)
|
|
{
|
|
/* Cache is not full, so put the result in a new link */
|
|
link = (lru_list_elem *)PyObject_New(lru_list_elem,
|
|
self->lru_list_elem_type);
|
|
if (link == NULL) {
|
|
Py_DECREF(key);
|
|
Py_DECREF(result);
|
|
return NULL;
|
|
}
|
|
|
|
link->hash = hash;
|
|
link->key = key;
|
|
link->result = result;
|
|
/* What is really needed here is a SetItem variant with a "no clobber"
|
|
option. If the __eq__ call triggers a reentrant call that adds
|
|
this same key, then this setitem call will update the cache dict
|
|
with this new link, leaving the old link as an orphan (i.e. not
|
|
having a cache dict entry that refers to it). */
|
|
if (_PyDict_SetItem_KnownHash(self->cache, key, (PyObject *)link,
|
|
hash) < 0) {
|
|
Py_DECREF(link);
|
|
return NULL;
|
|
}
|
|
lru_cache_append_link(self, link);
|
|
return Py_NewRef(result);
|
|
}
|
|
/* Since the cache is full, we need to evict an old key and add
|
|
a new key. Rather than free the old link and allocate a new
|
|
one, we reuse the link for the new key and result and move it
|
|
to front of the cache to mark it as recently used.
|
|
|
|
We try to assure all code paths (including errors) leave all
|
|
of the links in place. Either the link is successfully
|
|
updated and moved or it is restored to its old position.
|
|
However if an unrecoverable error is found, it doesn't
|
|
make sense to reinsert the link, so we leave it out
|
|
and the cache will no longer register as full.
|
|
*/
|
|
PyObject *oldkey, *oldresult, *popresult;
|
|
|
|
/* Extract the oldest item. */
|
|
assert(self->root.next != &self->root);
|
|
link = self->root.next;
|
|
lru_cache_extract_link(link);
|
|
/* Remove it from the cache.
|
|
The cache dict holds one reference to the link.
|
|
We created one other reference when the link was created.
|
|
The linked list only has borrowed references. */
|
|
int res = _PyDict_Pop_KnownHash((PyDictObject*)self->cache, link->key,
|
|
link->hash, &popresult);
|
|
if (res < 0) {
|
|
/* An error arose while trying to remove the oldest key (the one
|
|
being evicted) from the cache. We restore the link to its
|
|
original position as the oldest link. Then we allow the
|
|
error propagate upward; treating it the same as an error
|
|
arising in the user function. */
|
|
lru_cache_prepend_link(self, link);
|
|
Py_DECREF(key);
|
|
Py_DECREF(result);
|
|
return NULL;
|
|
}
|
|
if (res == 0) {
|
|
/* Getting here means that the user function call or another
|
|
thread has already removed the old key from the dictionary.
|
|
This link is now an orphan. Since we don't want to leave the
|
|
cache in an inconsistent state, we don't restore the link. */
|
|
assert(popresult == NULL);
|
|
Py_DECREF(link);
|
|
Py_DECREF(key);
|
|
return result;
|
|
}
|
|
|
|
/* Keep a reference to the old key and old result to prevent their
|
|
ref counts from going to zero during the update. That will
|
|
prevent potentially arbitrary object clean-up code (i.e. __del__)
|
|
from running while we're still adjusting the links. */
|
|
assert(popresult != NULL);
|
|
oldkey = link->key;
|
|
oldresult = link->result;
|
|
|
|
link->hash = hash;
|
|
link->key = key;
|
|
link->result = result;
|
|
/* Note: The link is being added to the cache dict without the
|
|
prev and next fields set to valid values. We have to wait
|
|
for successful insertion in the cache dict before adding the
|
|
link to the linked list. Otherwise, the potentially reentrant
|
|
__eq__ call could cause the then orphan link to be visited. */
|
|
if (_PyDict_SetItem_KnownHash(self->cache, key, (PyObject *)link,
|
|
hash) < 0) {
|
|
/* Somehow the cache dict update failed. We no longer can
|
|
restore the old link. Let the error propagate upward and
|
|
leave the cache short one link. */
|
|
Py_DECREF(popresult);
|
|
Py_DECREF(link);
|
|
Py_DECREF(oldkey);
|
|
Py_DECREF(oldresult);
|
|
return NULL;
|
|
}
|
|
lru_cache_append_link(self, link);
|
|
Py_INCREF(result); /* for return */
|
|
Py_DECREF(popresult);
|
|
Py_DECREF(oldkey);
|
|
Py_DECREF(oldresult);
|
|
return result;
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_new(PyTypeObject *type, PyObject *args, PyObject *kw)
|
|
{
|
|
PyObject *func, *maxsize_O, *cache_info_type, *cachedict;
|
|
int typed;
|
|
lru_cache_object *obj;
|
|
Py_ssize_t maxsize;
|
|
PyObject *(*wrapper)(lru_cache_object *, PyObject *, PyObject *);
|
|
_functools_state *state;
|
|
static char *keywords[] = {"user_function", "maxsize", "typed",
|
|
"cache_info_type", NULL};
|
|
|
|
if (!PyArg_ParseTupleAndKeywords(args, kw, "OOpO:lru_cache", keywords,
|
|
&func, &maxsize_O, &typed,
|
|
&cache_info_type)) {
|
|
return NULL;
|
|
}
|
|
|
|
if (!PyCallable_Check(func)) {
|
|
PyErr_SetString(PyExc_TypeError,
|
|
"the first argument must be callable");
|
|
return NULL;
|
|
}
|
|
|
|
state = get_functools_state_by_type(type);
|
|
if (state == NULL) {
|
|
return NULL;
|
|
}
|
|
|
|
/* select the caching function, and make/inc maxsize_O */
|
|
if (maxsize_O == Py_None) {
|
|
wrapper = infinite_lru_cache_wrapper;
|
|
/* use this only to initialize lru_cache_object attribute maxsize */
|
|
maxsize = -1;
|
|
} else if (PyIndex_Check(maxsize_O)) {
|
|
maxsize = PyNumber_AsSsize_t(maxsize_O, PyExc_OverflowError);
|
|
if (maxsize == -1 && PyErr_Occurred())
|
|
return NULL;
|
|
if (maxsize < 0) {
|
|
maxsize = 0;
|
|
}
|
|
if (maxsize == 0)
|
|
wrapper = uncached_lru_cache_wrapper;
|
|
else
|
|
wrapper = bounded_lru_cache_wrapper;
|
|
} else {
|
|
PyErr_SetString(PyExc_TypeError, "maxsize should be integer or None");
|
|
return NULL;
|
|
}
|
|
|
|
if (!(cachedict = PyDict_New()))
|
|
return NULL;
|
|
|
|
obj = (lru_cache_object *)type->tp_alloc(type, 0);
|
|
if (obj == NULL) {
|
|
Py_DECREF(cachedict);
|
|
return NULL;
|
|
}
|
|
|
|
obj->root.prev = &obj->root;
|
|
obj->root.next = &obj->root;
|
|
obj->wrapper = wrapper;
|
|
obj->typed = typed;
|
|
obj->cache = cachedict;
|
|
obj->func = Py_NewRef(func);
|
|
obj->misses = obj->hits = 0;
|
|
obj->maxsize = maxsize;
|
|
obj->kwd_mark = Py_NewRef(state->kwd_mark);
|
|
obj->lru_list_elem_type = (PyTypeObject*)Py_NewRef(state->lru_list_elem_type);
|
|
obj->cache_info_type = Py_NewRef(cache_info_type);
|
|
obj->dict = NULL;
|
|
obj->weakreflist = NULL;
|
|
return (PyObject *)obj;
|
|
}
|
|
|
|
static lru_list_elem *
|
|
lru_cache_unlink_list(lru_cache_object *self)
|
|
{
|
|
lru_list_elem *root = &self->root;
|
|
lru_list_elem *link = root->next;
|
|
if (link == root)
|
|
return NULL;
|
|
root->prev->next = NULL;
|
|
root->next = root->prev = root;
|
|
return link;
|
|
}
|
|
|
|
static void
|
|
lru_cache_clear_list(lru_list_elem *link)
|
|
{
|
|
while (link != NULL) {
|
|
lru_list_elem *next = link->next;
|
|
Py_SETREF(link, next);
|
|
}
|
|
}
|
|
|
|
static int
|
|
lru_cache_tp_clear(lru_cache_object *self)
|
|
{
|
|
lru_list_elem *list = lru_cache_unlink_list(self);
|
|
Py_CLEAR(self->cache);
|
|
Py_CLEAR(self->func);
|
|
Py_CLEAR(self->kwd_mark);
|
|
Py_CLEAR(self->lru_list_elem_type);
|
|
Py_CLEAR(self->cache_info_type);
|
|
Py_CLEAR(self->dict);
|
|
lru_cache_clear_list(list);
|
|
return 0;
|
|
}
|
|
|
|
static void
|
|
lru_cache_dealloc(lru_cache_object *obj)
|
|
{
|
|
PyTypeObject *tp = Py_TYPE(obj);
|
|
/* bpo-31095: UnTrack is needed before calling any callbacks */
|
|
PyObject_GC_UnTrack(obj);
|
|
if (obj->weakreflist != NULL) {
|
|
PyObject_ClearWeakRefs((PyObject*)obj);
|
|
}
|
|
|
|
(void)lru_cache_tp_clear(obj);
|
|
tp->tp_free(obj);
|
|
Py_DECREF(tp);
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_call(lru_cache_object *self, PyObject *args, PyObject *kwds)
|
|
{
|
|
PyObject *result;
|
|
Py_BEGIN_CRITICAL_SECTION(self);
|
|
result = self->wrapper(self, args, kwds);
|
|
Py_END_CRITICAL_SECTION();
|
|
return result;
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_descr_get(PyObject *self, PyObject *obj, PyObject *type)
|
|
{
|
|
if (obj == Py_None || obj == NULL) {
|
|
return Py_NewRef(self);
|
|
}
|
|
return PyMethod_New(self, obj);
|
|
}
|
|
|
|
/*[clinic input]
|
|
@critical_section
|
|
_functools._lru_cache_wrapper.cache_info
|
|
|
|
Report cache statistics
|
|
[clinic start generated code]*/
|
|
|
|
static PyObject *
|
|
_functools__lru_cache_wrapper_cache_info_impl(PyObject *self)
|
|
/*[clinic end generated code: output=cc796a0b06dbd717 input=00e1acb31aa21ecc]*/
|
|
{
|
|
lru_cache_object *_self = (lru_cache_object *) self;
|
|
if (_self->maxsize == -1) {
|
|
return PyObject_CallFunction(_self->cache_info_type, "nnOn",
|
|
_self->hits, _self->misses, Py_None,
|
|
PyDict_GET_SIZE(_self->cache));
|
|
}
|
|
return PyObject_CallFunction(_self->cache_info_type, "nnnn",
|
|
_self->hits, _self->misses, _self->maxsize,
|
|
PyDict_GET_SIZE(_self->cache));
|
|
}
|
|
|
|
/*[clinic input]
|
|
@critical_section
|
|
_functools._lru_cache_wrapper.cache_clear
|
|
|
|
Clear the cache and cache statistics
|
|
[clinic start generated code]*/
|
|
|
|
static PyObject *
|
|
_functools__lru_cache_wrapper_cache_clear_impl(PyObject *self)
|
|
/*[clinic end generated code: output=58423b35efc3e381 input=dfa33acbecf8b4b2]*/
|
|
{
|
|
lru_cache_object *_self = (lru_cache_object *) self;
|
|
lru_list_elem *list = lru_cache_unlink_list(_self);
|
|
_self->hits = _self->misses = 0;
|
|
PyDict_Clear(_self->cache);
|
|
lru_cache_clear_list(list);
|
|
Py_RETURN_NONE;
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_reduce(PyObject *self, PyObject *unused)
|
|
{
|
|
return PyObject_GetAttrString(self, "__qualname__");
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_copy(PyObject *self, PyObject *unused)
|
|
{
|
|
return Py_NewRef(self);
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_deepcopy(PyObject *self, PyObject *unused)
|
|
{
|
|
return Py_NewRef(self);
|
|
}
|
|
|
|
static int
|
|
lru_cache_tp_traverse(lru_cache_object *self, visitproc visit, void *arg)
|
|
{
|
|
Py_VISIT(Py_TYPE(self));
|
|
lru_list_elem *link = self->root.next;
|
|
while (link != &self->root) {
|
|
lru_list_elem *next = link->next;
|
|
Py_VISIT(link->key);
|
|
Py_VISIT(link->result);
|
|
Py_VISIT(Py_TYPE(link));
|
|
link = next;
|
|
}
|
|
Py_VISIT(self->cache);
|
|
Py_VISIT(self->func);
|
|
Py_VISIT(self->kwd_mark);
|
|
Py_VISIT(self->lru_list_elem_type);
|
|
Py_VISIT(self->cache_info_type);
|
|
Py_VISIT(self->dict);
|
|
return 0;
|
|
}
|
|
|
|
|
|
PyDoc_STRVAR(lru_cache_doc,
|
|
"Create a cached callable that wraps another function.\n\
|
|
\n\
|
|
user_function: the function being cached\n\
|
|
\n\
|
|
maxsize: 0 for no caching\n\
|
|
None for unlimited cache size\n\
|
|
n for a bounded cache\n\
|
|
\n\
|
|
typed: False cache f(3) and f(3.0) as identical calls\n\
|
|
True cache f(3) and f(3.0) as distinct calls\n\
|
|
\n\
|
|
cache_info_type: namedtuple class with the fields:\n\
|
|
hits misses currsize maxsize\n"
|
|
);
|
|
|
|
static PyMethodDef lru_cache_methods[] = {
|
|
_FUNCTOOLS__LRU_CACHE_WRAPPER_CACHE_INFO_METHODDEF
|
|
_FUNCTOOLS__LRU_CACHE_WRAPPER_CACHE_CLEAR_METHODDEF
|
|
{"__reduce__", (PyCFunction)lru_cache_reduce, METH_NOARGS},
|
|
{"__copy__", (PyCFunction)lru_cache_copy, METH_VARARGS},
|
|
{"__deepcopy__", (PyCFunction)lru_cache_deepcopy, METH_VARARGS},
|
|
{NULL}
|
|
};
|
|
|
|
static PyGetSetDef lru_cache_getsetlist[] = {
|
|
{"__dict__", PyObject_GenericGetDict, PyObject_GenericSetDict},
|
|
{NULL}
|
|
};
|
|
|
|
static PyMemberDef lru_cache_memberlist[] = {
|
|
{"__dictoffset__", Py_T_PYSSIZET,
|
|
offsetof(lru_cache_object, dict), Py_READONLY},
|
|
{"__weaklistoffset__", Py_T_PYSSIZET,
|
|
offsetof(lru_cache_object, weakreflist), Py_READONLY},
|
|
{NULL} /* Sentinel */
|
|
};
|
|
|
|
static PyType_Slot lru_cache_type_slots[] = {
|
|
{Py_tp_dealloc, lru_cache_dealloc},
|
|
{Py_tp_call, lru_cache_call},
|
|
{Py_tp_doc, (void *)lru_cache_doc},
|
|
{Py_tp_traverse, lru_cache_tp_traverse},
|
|
{Py_tp_clear, lru_cache_tp_clear},
|
|
{Py_tp_methods, lru_cache_methods},
|
|
{Py_tp_members, lru_cache_memberlist},
|
|
{Py_tp_getset, lru_cache_getsetlist},
|
|
{Py_tp_descr_get, lru_cache_descr_get},
|
|
{Py_tp_new, lru_cache_new},
|
|
{0, 0}
|
|
};
|
|
|
|
static PyType_Spec lru_cache_type_spec = {
|
|
.name = "functools._lru_cache_wrapper",
|
|
.basicsize = sizeof(lru_cache_object),
|
|
.flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
|
|
Py_TPFLAGS_METHOD_DESCRIPTOR | Py_TPFLAGS_IMMUTABLETYPE,
|
|
.slots = lru_cache_type_slots
|
|
};
|
|
|
|
|
|
/* module level code ********************************************************/
|
|
|
|
PyDoc_STRVAR(_functools_doc,
|
|
"Tools that operate on functions.");
|
|
|
|
static PyMethodDef _functools_methods[] = {
|
|
{"reduce", functools_reduce, METH_VARARGS, functools_reduce_doc},
|
|
_FUNCTOOLS_CMP_TO_KEY_METHODDEF
|
|
{NULL, NULL} /* sentinel */
|
|
};
|
|
|
|
static int
|
|
_functools_exec(PyObject *module)
|
|
{
|
|
_functools_state *state = get_functools_state(module);
|
|
state->kwd_mark = _PyObject_CallNoArgs((PyObject *)&PyBaseObject_Type);
|
|
if (state->kwd_mark == NULL) {
|
|
return -1;
|
|
}
|
|
|
|
state->partial_type = (PyTypeObject *)PyType_FromModuleAndSpec(module,
|
|
&partial_type_spec, NULL);
|
|
if (state->partial_type == NULL) {
|
|
return -1;
|
|
}
|
|
if (PyModule_AddType(module, state->partial_type) < 0) {
|
|
return -1;
|
|
}
|
|
|
|
PyObject *lru_cache_type = PyType_FromModuleAndSpec(module,
|
|
&lru_cache_type_spec, NULL);
|
|
if (lru_cache_type == NULL) {
|
|
return -1;
|
|
}
|
|
if (PyModule_AddType(module, (PyTypeObject *)lru_cache_type) < 0) {
|
|
Py_DECREF(lru_cache_type);
|
|
return -1;
|
|
}
|
|
Py_DECREF(lru_cache_type);
|
|
|
|
state->keyobject_type = (PyTypeObject *)PyType_FromModuleAndSpec(module,
|
|
&keyobject_type_spec, NULL);
|
|
if (state->keyobject_type == NULL) {
|
|
return -1;
|
|
}
|
|
// keyobject_type is used only internally.
|
|
// So we don't expose it in module namespace.
|
|
|
|
state->lru_list_elem_type = (PyTypeObject *)PyType_FromModuleAndSpec(
|
|
module, &lru_list_elem_type_spec, NULL);
|
|
if (state->lru_list_elem_type == NULL) {
|
|
return -1;
|
|
}
|
|
// lru_list_elem is used only in _lru_cache_wrapper.
|
|
// So we don't expose it in module namespace.
|
|
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
_functools_traverse(PyObject *module, visitproc visit, void *arg)
|
|
{
|
|
_functools_state *state = get_functools_state(module);
|
|
Py_VISIT(state->kwd_mark);
|
|
Py_VISIT(state->partial_type);
|
|
Py_VISIT(state->keyobject_type);
|
|
Py_VISIT(state->lru_list_elem_type);
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
_functools_clear(PyObject *module)
|
|
{
|
|
_functools_state *state = get_functools_state(module);
|
|
Py_CLEAR(state->kwd_mark);
|
|
Py_CLEAR(state->partial_type);
|
|
Py_CLEAR(state->keyobject_type);
|
|
Py_CLEAR(state->lru_list_elem_type);
|
|
return 0;
|
|
}
|
|
|
|
static void
|
|
_functools_free(void *module)
|
|
{
|
|
_functools_clear((PyObject *)module);
|
|
}
|
|
|
|
static struct PyModuleDef_Slot _functools_slots[] = {
|
|
{Py_mod_exec, _functools_exec},
|
|
{Py_mod_multiple_interpreters, Py_MOD_PER_INTERPRETER_GIL_SUPPORTED},
|
|
{Py_mod_gil, Py_MOD_GIL_NOT_USED},
|
|
{0, NULL}
|
|
};
|
|
|
|
static struct PyModuleDef _functools_module = {
|
|
PyModuleDef_HEAD_INIT,
|
|
.m_name = "_functools",
|
|
.m_doc = _functools_doc,
|
|
.m_size = sizeof(_functools_state),
|
|
.m_methods = _functools_methods,
|
|
.m_slots = _functools_slots,
|
|
.m_traverse = _functools_traverse,
|
|
.m_clear = _functools_clear,
|
|
.m_free = _functools_free,
|
|
};
|
|
|
|
PyMODINIT_FUNC
|
|
PyInit__functools(void)
|
|
{
|
|
return PyModuleDef_Init(&_functools_module);
|
|
}
|