1431 lines
44 KiB
C
1431 lines
44 KiB
C
#include "Python.h"
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#include "pycore_pymem.h"
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#include "pycore_pystate.h"
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#include "pycore_tupleobject.h"
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#include "structmember.h"
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#include "pycore_object.h" // _PyObject_GC_TRACK
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|
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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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/* 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;
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PyObject *weakreflist; /* List of weak references */
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int use_fastcall;
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} partialobject;
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static PyTypeObject partial_type;
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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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pargs = pkw = NULL;
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func = PyTuple_GET_ITEM(args, 0);
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if (Py_TYPE(func) == &partial_type && type == &partial_type) {
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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 = func;
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Py_INCREF(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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Py_INCREF(kw);
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pto->kw = 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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pto->use_fastcall = (_PyVectorcall_Function(func) != NULL);
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return (PyObject *)pto;
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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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/* 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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Py_XDECREF(pto->fn);
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Py_XDECREF(pto->args);
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Py_XDECREF(pto->kw);
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Py_XDECREF(pto->dict);
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Py_TYPE(pto)->tp_free(pto);
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}
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static PyObject *
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partial_fastcall(partialobject *pto, PyObject **args, Py_ssize_t nargs,
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PyObject *kwargs)
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{
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PyObject *small_stack[_PY_FASTCALL_SMALL_STACK];
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PyObject *ret;
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PyObject **stack, **stack_buf = NULL;
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Py_ssize_t nargs2, pto_nargs;
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pto_nargs = PyTuple_GET_SIZE(pto->args);
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nargs2 = pto_nargs + nargs;
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if (pto_nargs == 0) {
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stack = args;
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}
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else if (nargs == 0) {
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stack = _PyTuple_ITEMS(pto->args);
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}
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else {
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if (nargs2 <= (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_buf = PyMem_Malloc(nargs2 * sizeof(PyObject *));
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if (stack_buf == NULL) {
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PyErr_NoMemory();
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return NULL;
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}
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stack = stack_buf;
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}
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/* use borrowed references */
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memcpy(stack,
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_PyTuple_ITEMS(pto->args),
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pto_nargs * sizeof(PyObject*));
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memcpy(&stack[pto_nargs],
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args,
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nargs * sizeof(PyObject*));
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}
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ret = _PyObject_FastCallDict(pto->fn, stack, nargs2, kwargs);
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PyMem_Free(stack_buf);
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return ret;
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}
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static PyObject *
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partial_call_impl(partialobject *pto, PyObject *args, PyObject *kwargs)
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{
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PyObject *ret, *args2;
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/* Note: tupleconcat() is optimized for empty tuples */
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args2 = PySequence_Concat(pto->args, args);
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if (args2 == NULL) {
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return NULL;
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}
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assert(PyTuple_Check(args2));
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ret = PyObject_Call(pto->fn, args2, kwargs);
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Py_DECREF(args2);
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return ret;
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}
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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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PyObject *kwargs2, *res;
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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));
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if (PyDict_GET_SIZE(pto->kw) == 0) {
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/* kwargs can be NULL */
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kwargs2 = kwargs;
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Py_XINCREF(kwargs2);
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}
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else {
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/* bpo-27840, bpo-29318: dictionary of keyword parameters must be
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copied, because a function using "**kwargs" can modify the
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dictionary. */
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kwargs2 = PyDict_Copy(pto->kw);
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if (kwargs2 == NULL) {
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return NULL;
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}
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if (kwargs != NULL) {
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if (PyDict_Merge(kwargs2, kwargs, 1) != 0) {
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Py_DECREF(kwargs2);
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return NULL;
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}
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}
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}
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if (pto->use_fastcall) {
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res = partial_fastcall(pto,
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_PyTuple_ITEMS(args),
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PyTuple_GET_SIZE(args),
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kwargs2);
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}
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else {
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res = partial_call_impl(pto, args, kwargs2);
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}
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Py_XDECREF(kwargs2);
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return res;
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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(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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PyDoc_STRVAR(partial_doc,
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"partial(func, *args, **keywords) - new function with partial application\n\
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of the given arguments and keywords.\n");
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#define OFF(x) offsetof(partialobject, x)
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static PyMemberDef partial_memberlist[] = {
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{"func", T_OBJECT, OFF(fn), READONLY,
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"function object to use in future partial calls"},
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{"args", T_OBJECT, OFF(args), READONLY,
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"tuple of arguments to future partial calls"},
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{"keywords", T_OBJECT, OFF(kw), READONLY,
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"dictionary of keyword arguments to future partial calls"},
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{NULL} /* Sentinel */
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};
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static PyGetSetDef partial_getsetlist[] = {
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{"__dict__", PyObject_GenericGetDict, PyObject_GenericSetDict},
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{NULL} /* Sentinel */
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};
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static PyObject *
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partial_repr(partialobject *pto)
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{
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PyObject *result = NULL;
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PyObject *arglist;
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Py_ssize_t i, n;
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PyObject *key, *value;
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int status;
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status = Py_ReprEnter((PyObject *)pto);
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if (status != 0) {
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if (status < 0)
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return NULL;
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return PyUnicode_FromString("...");
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}
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arglist = PyUnicode_FromString("");
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if (arglist == NULL)
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goto done;
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/* Pack positional arguments */
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assert (PyTuple_Check(pto->args));
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n = PyTuple_GET_SIZE(pto->args);
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for (i = 0; i < n; i++) {
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Py_SETREF(arglist, PyUnicode_FromFormat("%U, %R", arglist,
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PyTuple_GET_ITEM(pto->args, i)));
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if (arglist == NULL)
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goto done;
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}
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/* Pack keyword arguments */
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assert (PyDict_Check(pto->kw));
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for (i = 0; PyDict_Next(pto->kw, &i, &key, &value);) {
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/* Prevent key.__str__ from deleting the value. */
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Py_INCREF(value);
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Py_SETREF(arglist, PyUnicode_FromFormat("%U, %S=%R", arglist,
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key, value));
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Py_DECREF(value);
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if (arglist == NULL)
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goto done;
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}
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result = PyUnicode_FromFormat("%s(%R%U)", Py_TYPE(pto)->tp_name,
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pto->fn, arglist);
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Py_DECREF(arglist);
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done:
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Py_ReprLeave((PyObject *)pto);
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return result;
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}
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/* Pickle strategy:
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__reduce__ by itself doesn't support getting kwargs in the unpickle
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operation so we define a __setstate__ that replaces all the information
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about the partial. If we only replaced part of it someone would use
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it as a hook to do strange things.
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*/
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static PyObject *
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partial_reduce(partialobject *pto, PyObject *unused)
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{
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return Py_BuildValue("O(O)(OOOO)", Py_TYPE(pto), pto->fn, pto->fn,
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pto->args, pto->kw,
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pto->dict ? pto->dict : Py_None);
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}
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static PyObject *
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partial_setstate(partialobject *pto, PyObject *state)
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{
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PyObject *fn, *fnargs, *kw, *dict;
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|
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if (!PyTuple_Check(state) ||
|
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!PyArg_ParseTuple(state, "OOOO", &fn, &fnargs, &kw, &dict) ||
|
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!PyCallable_Check(fn) ||
|
|
!PyTuple_Check(fnargs) ||
|
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(kw != Py_None && !PyDict_Check(kw)))
|
|
{
|
|
PyErr_SetString(PyExc_TypeError, "invalid partial state");
|
|
return NULL;
|
|
}
|
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|
|
if(!PyTuple_CheckExact(fnargs))
|
|
fnargs = PySequence_Tuple(fnargs);
|
|
else
|
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Py_INCREF(fnargs);
|
|
if (fnargs == NULL)
|
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return NULL;
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|
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if (kw == Py_None)
|
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kw = PyDict_New();
|
|
else if(!PyDict_CheckExact(kw))
|
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kw = PyDict_Copy(kw);
|
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else
|
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Py_INCREF(kw);
|
|
if (kw == NULL) {
|
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Py_DECREF(fnargs);
|
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return NULL;
|
|
}
|
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|
|
if (dict == Py_None)
|
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dict = NULL;
|
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else
|
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Py_INCREF(dict);
|
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|
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Py_INCREF(fn);
|
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pto->use_fastcall = (_PyVectorcall_Function(fn) != NULL);
|
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Py_SETREF(pto->fn, fn);
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Py_SETREF(pto->args, fnargs);
|
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Py_SETREF(pto->kw, kw);
|
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Py_XSETREF(pto->dict, dict);
|
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Py_RETURN_NONE;
|
|
}
|
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|
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static PyMethodDef partial_methods[] = {
|
|
{"__reduce__", (PyCFunction)partial_reduce, METH_NOARGS},
|
|
{"__setstate__", (PyCFunction)partial_setstate, METH_O},
|
|
{NULL, NULL} /* sentinel */
|
|
};
|
|
|
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static PyTypeObject partial_type = {
|
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PyVarObject_HEAD_INIT(NULL, 0)
|
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"functools.partial", /* tp_name */
|
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sizeof(partialobject), /* tp_basicsize */
|
|
0, /* tp_itemsize */
|
|
/* methods */
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|
(destructor)partial_dealloc, /* tp_dealloc */
|
|
0, /* tp_vectorcall_offset */
|
|
0, /* tp_getattr */
|
|
0, /* tp_setattr */
|
|
0, /* tp_as_async */
|
|
(reprfunc)partial_repr, /* tp_repr */
|
|
0, /* tp_as_number */
|
|
0, /* tp_as_sequence */
|
|
0, /* tp_as_mapping */
|
|
0, /* tp_hash */
|
|
(ternaryfunc)partial_call, /* tp_call */
|
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0, /* tp_str */
|
|
PyObject_GenericGetAttr, /* tp_getattro */
|
|
PyObject_GenericSetAttr, /* tp_setattro */
|
|
0, /* tp_as_buffer */
|
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Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC |
|
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Py_TPFLAGS_BASETYPE, /* tp_flags */
|
|
partial_doc, /* tp_doc */
|
|
(traverseproc)partial_traverse, /* tp_traverse */
|
|
0, /* tp_clear */
|
|
0, /* tp_richcompare */
|
|
offsetof(partialobject, weakreflist), /* tp_weaklistoffset */
|
|
0, /* tp_iter */
|
|
0, /* tp_iternext */
|
|
partial_methods, /* tp_methods */
|
|
partial_memberlist, /* tp_members */
|
|
partial_getsetlist, /* tp_getset */
|
|
0, /* tp_base */
|
|
0, /* tp_dict */
|
|
0, /* tp_descr_get */
|
|
0, /* tp_descr_set */
|
|
offsetof(partialobject, dict), /* tp_dictoffset */
|
|
0, /* tp_init */
|
|
0, /* tp_alloc */
|
|
partial_new, /* tp_new */
|
|
PyObject_GC_Del, /* tp_free */
|
|
};
|
|
|
|
|
|
/* cmp_to_key ***************************************************************/
|
|
|
|
typedef struct {
|
|
PyObject_HEAD
|
|
PyObject *cmp;
|
|
PyObject *object;
|
|
} keyobject;
|
|
|
|
static void
|
|
keyobject_dealloc(keyobject *ko)
|
|
{
|
|
Py_DECREF(ko->cmp);
|
|
Py_XDECREF(ko->object);
|
|
PyObject_FREE(ko);
|
|
}
|
|
|
|
static int
|
|
keyobject_traverse(keyobject *ko, visitproc visit, void *arg)
|
|
{
|
|
Py_VISIT(ko->cmp);
|
|
if (ko->object)
|
|
Py_VISIT(ko->object);
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
keyobject_clear(keyobject *ko)
|
|
{
|
|
Py_CLEAR(ko->cmp);
|
|
if (ko->object)
|
|
Py_CLEAR(ko->object);
|
|
return 0;
|
|
}
|
|
|
|
static PyMemberDef keyobject_members[] = {
|
|
{"obj", T_OBJECT,
|
|
offsetof(keyobject, object), 0,
|
|
PyDoc_STR("Value wrapped by a key function.")},
|
|
{NULL}
|
|
};
|
|
|
|
static PyObject *
|
|
keyobject_call(keyobject *ko, PyObject *args, PyObject *kwds);
|
|
|
|
static PyObject *
|
|
keyobject_richcompare(PyObject *ko, PyObject *other, int op);
|
|
|
|
static PyTypeObject keyobject_type = {
|
|
PyVarObject_HEAD_INIT(&PyType_Type, 0)
|
|
"functools.KeyWrapper", /* tp_name */
|
|
sizeof(keyobject), /* tp_basicsize */
|
|
0, /* tp_itemsize */
|
|
/* methods */
|
|
(destructor)keyobject_dealloc, /* tp_dealloc */
|
|
0, /* tp_vectorcall_offset */
|
|
0, /* tp_getattr */
|
|
0, /* tp_setattr */
|
|
0, /* tp_as_async */
|
|
0, /* tp_repr */
|
|
0, /* tp_as_number */
|
|
0, /* tp_as_sequence */
|
|
0, /* tp_as_mapping */
|
|
0, /* tp_hash */
|
|
(ternaryfunc)keyobject_call, /* tp_call */
|
|
0, /* tp_str */
|
|
PyObject_GenericGetAttr, /* tp_getattro */
|
|
0, /* tp_setattro */
|
|
0, /* tp_as_buffer */
|
|
Py_TPFLAGS_DEFAULT, /* tp_flags */
|
|
0, /* tp_doc */
|
|
(traverseproc)keyobject_traverse, /* tp_traverse */
|
|
(inquiry)keyobject_clear, /* tp_clear */
|
|
keyobject_richcompare, /* tp_richcompare */
|
|
0, /* tp_weaklistoffset */
|
|
0, /* tp_iter */
|
|
0, /* tp_iternext */
|
|
0, /* tp_methods */
|
|
keyobject_members, /* tp_members */
|
|
0, /* tp_getset */
|
|
};
|
|
|
|
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_New(keyobject, &keyobject_type);
|
|
if (!result)
|
|
return NULL;
|
|
Py_INCREF(ko->cmp);
|
|
result->cmp = ko->cmp;
|
|
Py_INCREF(object);
|
|
result->object = object;
|
|
return (PyObject *)result;
|
|
}
|
|
|
|
static PyObject *
|
|
keyobject_richcompare(PyObject *ko, PyObject *other, int op)
|
|
{
|
|
PyObject *res;
|
|
PyObject *x;
|
|
PyObject *y;
|
|
PyObject *compare;
|
|
PyObject *answer;
|
|
PyObject* stack[2];
|
|
|
|
if (Py_TYPE(other) != &keyobject_type){
|
|
PyErr_Format(PyExc_TypeError, "other argument must be K instance");
|
|
return NULL;
|
|
}
|
|
compare = ((keyobject *) ko)->cmp;
|
|
assert(compare != NULL);
|
|
x = ((keyobject *) ko)->object;
|
|
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).
|
|
*/
|
|
stack[0] = x;
|
|
stack[1] = y;
|
|
res = _PyObject_FastCall(compare, stack, 2);
|
|
if (res == NULL) {
|
|
return NULL;
|
|
}
|
|
|
|
answer = PyObject_RichCompare(res, _PyLong_Zero, op);
|
|
Py_DECREF(res);
|
|
return answer;
|
|
}
|
|
|
|
static PyObject *
|
|
functools_cmp_to_key(PyObject *self, PyObject *args, PyObject *kwds)
|
|
{
|
|
PyObject *cmp;
|
|
static char *kwargs[] = {"mycmp", NULL};
|
|
keyobject *object;
|
|
|
|
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O:cmp_to_key", kwargs, &cmp))
|
|
return NULL;
|
|
object = PyObject_New(keyobject, &keyobject_type);
|
|
if (!object)
|
|
return NULL;
|
|
Py_INCREF(cmp);
|
|
object->cmp = cmp;
|
|
object->object = NULL;
|
|
return (PyObject *)object;
|
|
}
|
|
|
|
PyDoc_STRVAR(functools_cmp_to_key_doc,
|
|
"Convert a cmp= function into a key= function.");
|
|
|
|
/* reduce (used to be a builtin) ********************************************/
|
|
|
|
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 (args->ob_refcnt > 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(args->ob_refcnt == 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 sequence 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, sequence[, initial]) -> value\n\
|
|
\n\
|
|
Apply a function of two arguments cumulatively to the items of a sequence,\n\
|
|
from left to right, so as to reduce the sequence to a single value.\n\
|
|
For example, reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) calculates\n\
|
|
((((1+2)+3)+4)+5). If initial is present, it is placed before the items\n\
|
|
of the sequence in the calculation, and serves as a default when the\n\
|
|
sequence is empty.");
|
|
|
|
/* 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.
|
|
|
|
*/
|
|
|
|
|
|
/* this object is used delimit args and keywords in the cache keys */
|
|
static PyObject *kwd_mark = NULL;
|
|
|
|
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)
|
|
{
|
|
Py_XDECREF(link->key);
|
|
Py_XDECREF(link->result);
|
|
PyObject_Del(link);
|
|
}
|
|
|
|
static PyTypeObject lru_list_elem_type = {
|
|
PyVarObject_HEAD_INIT(&PyType_Type, 0)
|
|
"functools._lru_list_elem", /* tp_name */
|
|
sizeof(lru_list_elem), /* tp_basicsize */
|
|
0, /* tp_itemsize */
|
|
/* methods */
|
|
(destructor)lru_list_elem_dealloc, /* tp_dealloc */
|
|
0, /* tp_vectorcall_offset */
|
|
0, /* tp_getattr */
|
|
0, /* tp_setattr */
|
|
0, /* tp_as_async */
|
|
0, /* tp_repr */
|
|
0, /* tp_as_number */
|
|
0, /* tp_as_sequence */
|
|
0, /* tp_as_mapping */
|
|
0, /* tp_hash */
|
|
0, /* tp_call */
|
|
0, /* tp_str */
|
|
0, /* tp_getattro */
|
|
0, /* tp_setattro */
|
|
0, /* tp_as_buffer */
|
|
Py_TPFLAGS_DEFAULT, /* tp_flags */
|
|
};
|
|
|
|
|
|
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;
|
|
PyObject *cache_info_type;
|
|
PyObject *dict;
|
|
} lru_cache_object;
|
|
|
|
static PyTypeObject lru_cache_type;
|
|
|
|
static PyObject *
|
|
lru_cache_make_key(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 */
|
|
Py_INCREF(key);
|
|
return key;
|
|
}
|
|
}
|
|
Py_INCREF(args);
|
|
return 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);
|
|
Py_INCREF(item);
|
|
PyTuple_SET_ITEM(key, key_pos++, item);
|
|
}
|
|
if (kwds_size) {
|
|
Py_INCREF(kwd_mark);
|
|
PyTuple_SET_ITEM(key, key_pos++, kwd_mark);
|
|
for (pos = 0; PyDict_Next(kwds, &pos, &keyword, &value);) {
|
|
Py_INCREF(keyword);
|
|
PyTuple_SET_ITEM(key, key_pos++, keyword);
|
|
Py_INCREF(value);
|
|
PyTuple_SET_ITEM(key, key_pos++, 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));
|
|
Py_INCREF(item);
|
|
PyTuple_SET_ITEM(key, key_pos++, item);
|
|
}
|
|
if (kwds_size) {
|
|
for (pos = 0; PyDict_Next(kwds, &pos, &keyword, &value);) {
|
|
PyObject *item = (PyObject *)Py_TYPE(value);
|
|
Py_INCREF(item);
|
|
PyTuple_SET_ITEM(key, key_pos++, 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(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(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,
|
|
&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);
|
|
Py_INCREF(result); /* for return */
|
|
return 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. */
|
|
popresult = _PyDict_Pop_KnownHash(self->cache, link->key,
|
|
link->hash, Py_None);
|
|
if (popresult == Py_None) {
|
|
/* 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. */
|
|
Py_DECREF(popresult);
|
|
Py_DECREF(link);
|
|
Py_DECREF(key);
|
|
return result;
|
|
}
|
|
if (popresult == NULL) {
|
|
/* 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;
|
|
}
|
|
/* 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. */
|
|
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 *);
|
|
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;
|
|
}
|
|
|
|
/* 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;
|
|
Py_INCREF(func);
|
|
obj->func = func;
|
|
obj->misses = obj->hits = 0;
|
|
obj->maxsize = maxsize;
|
|
Py_INCREF(cache_info_type);
|
|
obj->cache_info_type = cache_info_type;
|
|
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_DECREF(link);
|
|
link = next;
|
|
}
|
|
}
|
|
|
|
static void
|
|
lru_cache_dealloc(lru_cache_object *obj)
|
|
{
|
|
lru_list_elem *list;
|
|
/* bpo-31095: UnTrack is needed before calling any callbacks */
|
|
PyObject_GC_UnTrack(obj);
|
|
|
|
list = lru_cache_unlink_list(obj);
|
|
Py_XDECREF(obj->cache);
|
|
Py_XDECREF(obj->func);
|
|
Py_XDECREF(obj->cache_info_type);
|
|
Py_XDECREF(obj->dict);
|
|
lru_cache_clear_list(list);
|
|
Py_TYPE(obj)->tp_free(obj);
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_call(lru_cache_object *self, PyObject *args, PyObject *kwds)
|
|
{
|
|
return self->wrapper(self, args, kwds);
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_descr_get(PyObject *self, PyObject *obj, PyObject *type)
|
|
{
|
|
if (obj == Py_None || obj == NULL) {
|
|
Py_INCREF(self);
|
|
return self;
|
|
}
|
|
return PyMethod_New(self, obj);
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_cache_info(lru_cache_object *self, PyObject *unused)
|
|
{
|
|
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));
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_cache_clear(lru_cache_object *self, PyObject *unused)
|
|
{
|
|
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)
|
|
{
|
|
Py_INCREF(self);
|
|
return self;
|
|
}
|
|
|
|
static PyObject *
|
|
lru_cache_deepcopy(PyObject *self, PyObject *unused)
|
|
{
|
|
Py_INCREF(self);
|
|
return self;
|
|
}
|
|
|
|
static int
|
|
lru_cache_tp_traverse(lru_cache_object *self, visitproc visit, void *arg)
|
|
{
|
|
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);
|
|
link = next;
|
|
}
|
|
Py_VISIT(self->func);
|
|
Py_VISIT(self->cache);
|
|
Py_VISIT(self->cache_info_type);
|
|
Py_VISIT(self->dict);
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
lru_cache_tp_clear(lru_cache_object *self)
|
|
{
|
|
lru_list_elem *list = lru_cache_unlink_list(self);
|
|
Py_CLEAR(self->func);
|
|
Py_CLEAR(self->cache);
|
|
Py_CLEAR(self->cache_info_type);
|
|
Py_CLEAR(self->dict);
|
|
lru_cache_clear_list(list);
|
|
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[] = {
|
|
{"cache_info", (PyCFunction)lru_cache_cache_info, METH_NOARGS},
|
|
{"cache_clear", (PyCFunction)lru_cache_cache_clear, METH_NOARGS},
|
|
{"__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 PyTypeObject lru_cache_type = {
|
|
PyVarObject_HEAD_INIT(NULL, 0)
|
|
"functools._lru_cache_wrapper", /* tp_name */
|
|
sizeof(lru_cache_object), /* tp_basicsize */
|
|
0, /* tp_itemsize */
|
|
/* methods */
|
|
(destructor)lru_cache_dealloc, /* tp_dealloc */
|
|
0, /* tp_vectorcall_offset */
|
|
0, /* tp_getattr */
|
|
0, /* tp_setattr */
|
|
0, /* tp_as_async */
|
|
0, /* tp_repr */
|
|
0, /* tp_as_number */
|
|
0, /* tp_as_sequence */
|
|
0, /* tp_as_mapping */
|
|
0, /* tp_hash */
|
|
(ternaryfunc)lru_cache_call, /* tp_call */
|
|
0, /* tp_str */
|
|
0, /* tp_getattro */
|
|
0, /* tp_setattro */
|
|
0, /* tp_as_buffer */
|
|
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE |
|
|
Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_METHOD_DESCRIPTOR,
|
|
/* tp_flags */
|
|
lru_cache_doc, /* tp_doc */
|
|
(traverseproc)lru_cache_tp_traverse,/* tp_traverse */
|
|
(inquiry)lru_cache_tp_clear, /* tp_clear */
|
|
0, /* tp_richcompare */
|
|
0, /* tp_weaklistoffset */
|
|
0, /* tp_iter */
|
|
0, /* tp_iternext */
|
|
lru_cache_methods, /* tp_methods */
|
|
0, /* tp_members */
|
|
lru_cache_getsetlist, /* tp_getset */
|
|
0, /* tp_base */
|
|
0, /* tp_dict */
|
|
lru_cache_descr_get, /* tp_descr_get */
|
|
0, /* tp_descr_set */
|
|
offsetof(lru_cache_object, dict), /* tp_dictoffset */
|
|
0, /* tp_init */
|
|
0, /* tp_alloc */
|
|
lru_cache_new, /* tp_new */
|
|
};
|
|
|
|
/* module level code ********************************************************/
|
|
|
|
PyDoc_STRVAR(module_doc,
|
|
"Tools that operate on functions.");
|
|
|
|
static PyMethodDef module_methods[] = {
|
|
{"reduce", functools_reduce, METH_VARARGS, functools_reduce_doc},
|
|
{"cmp_to_key", (PyCFunction)(void(*)(void))functools_cmp_to_key,
|
|
METH_VARARGS | METH_KEYWORDS, functools_cmp_to_key_doc},
|
|
{NULL, NULL} /* sentinel */
|
|
};
|
|
|
|
static void
|
|
module_free(void *m)
|
|
{
|
|
Py_CLEAR(kwd_mark);
|
|
}
|
|
|
|
static struct PyModuleDef _functoolsmodule = {
|
|
PyModuleDef_HEAD_INIT,
|
|
"_functools",
|
|
module_doc,
|
|
-1,
|
|
module_methods,
|
|
NULL,
|
|
NULL,
|
|
NULL,
|
|
module_free,
|
|
};
|
|
|
|
PyMODINIT_FUNC
|
|
PyInit__functools(void)
|
|
{
|
|
int i;
|
|
PyObject *m;
|
|
const char *name;
|
|
PyTypeObject *typelist[] = {
|
|
&partial_type,
|
|
&lru_cache_type,
|
|
NULL
|
|
};
|
|
|
|
m = PyModule_Create(&_functoolsmodule);
|
|
if (m == NULL)
|
|
return NULL;
|
|
|
|
kwd_mark = _PyObject_CallNoArg((PyObject *)&PyBaseObject_Type);
|
|
if (!kwd_mark) {
|
|
Py_DECREF(m);
|
|
return NULL;
|
|
}
|
|
|
|
for (i=0 ; typelist[i] != NULL ; i++) {
|
|
if (PyType_Ready(typelist[i]) < 0) {
|
|
Py_DECREF(m);
|
|
return NULL;
|
|
}
|
|
name = _PyType_Name(typelist[i]);
|
|
Py_INCREF(typelist[i]);
|
|
PyModule_AddObject(m, name, (PyObject *)typelist[i]);
|
|
}
|
|
return m;
|
|
}
|