/opt/alt/python38/include/python3.8
Edit: /opt/alt/python38/include/python3.8/objimpl.h (10537B)
/* The PyObject_ memory family: high-level object memory interfaces.
See pymem.h for the low-level PyMem_ family.
*/
#ifndef Py_OBJIMPL_H
#define Py_OBJIMPL_H
#include "pymem.h"
#ifdef __cplusplus
extern "C" {
#endif
/* BEWARE:
Each interface exports both functions and macros. Extension modules should
use the functions, to ensure binary compatibility across Python versions.
Because the Python implementation is free to change internal details, and
the macros may (or may not) expose details for speed, if you do use the
macros you must recompile your extensions with each Python release.
Never mix calls to PyObject_ memory functions with calls to the platform
malloc/realloc/ calloc/free, or with calls to PyMem_.
*/
/*
Functions and macros for modules that implement new object types.
- PyObject_New(type, typeobj) allocates memory for a new object of the given
type, and initializes part of it. 'type' must be the C structure type used
to represent the object, and 'typeobj' the address of the corresponding
type object. Reference count and type pointer are filled in; the rest of
the bytes of the object are *undefined*! The resulting expression type is
'type *'. The size of the object is determined by the tp_basicsize field
of the type object.
- PyObject_NewVar(type, typeobj, n) is similar but allocates a variable-size
object with room for n items. In addition to the refcount and type pointer
fields, this also fills in the ob_size field.
- PyObject_Del(op) releases the memory allocated for an object. It does not
run a destructor -- it only frees the memory. PyObject_Free is identical.
- PyObject_Init(op, typeobj) and PyObject_InitVar(op, typeobj, n) don't
allocate memory. Instead of a 'type' parameter, they take a pointer to a
new object (allocated by an arbitrary allocator), and initialize its object
header fields.
Note that objects created with PyObject_{New, NewVar} are allocated using the
specialized Python allocator (implemented in obmalloc.c), if WITH_PYMALLOC is
enabled. In addition, a special debugging allocator is used if PYMALLOC_DEBUG
is also #defined.
In case a specific form of memory management is needed (for example, if you
must use the platform malloc heap(s), or shared memory, or C++ local storage or
operator new), you must first allocate the object with your custom allocator,
then pass its pointer to PyObject_{Init, InitVar} for filling in its Python-
specific fields: reference count, type pointer, possibly others. You should
be aware that Python has no control over these objects because they don't
cooperate with the Python memory manager. Such objects may not be eligible
for automatic garbage collection and you have to make sure that they are
released accordingly whenever their destructor gets called (cf. the specific
form of memory management you're using).
Unless you have specific memory management requirements, use
PyObject_{New, NewVar, Del}.
*/
/*
* Raw object memory interface
* ===========================
*/
/* Functions to call the same malloc/realloc/free as used by Python's
object allocator. If WITH_PYMALLOC is enabled, these may differ from
the platform malloc/realloc/free. The Python object allocator is
designed for fast, cache-conscious allocation of many "small" objects,
and with low hidden memory overhead.
PyObject_Malloc(0) returns a unique non-NULL pointer if possible.
PyObject_Realloc(NULL, n) acts like PyObject_Malloc(n).
PyObject_Realloc(p != NULL, 0) does not return NULL, or free the memory
at p.
Returned pointers must be checked for NULL explicitly; no action is
performed on failure other than to return NULL (no warning it printed, no
exception is set, etc).
For allocating objects, use PyObject_{New, NewVar} instead whenever
possible. The PyObject_{Malloc, Realloc, Free} family is exposed
so that you can exploit Python's small-block allocator for non-object
uses. If you must use these routines to allocate object memory, make sure
the object gets initialized via PyObject_{Init, InitVar} after obtaining
the raw memory.
*/
PyAPI_FUNC(void *) PyObject_Malloc(size_t size);
#if !defined(Py_LIMITED_API) || Py_LIMITED_API+0 >= 0x03050000
PyAPI_FUNC(void *) PyObject_Calloc(size_t nelem, size_t elsize);
#endif
PyAPI_FUNC(void *) PyObject_Realloc(void *ptr, size_t new_size);
PyAPI_FUNC(void) PyObject_Free(void *ptr);
/* Macros */
#define PyObject_MALLOC PyObject_Malloc
#define PyObject_REALLOC PyObject_Realloc
#define PyObject_FREE PyObject_Free
#define PyObject_Del PyObject_Free
#define PyObject_DEL PyObject_Free
/*
* Generic object allocator interface
* ==================================
*/
/* Functions */
PyAPI_FUNC(PyObject *) PyObject_Init(PyObject *, PyTypeObject *);
PyAPI_FUNC(PyVarObject *) PyObject_InitVar(PyVarObject *,
PyTypeObject *, Py_ssize_t);
PyAPI_FUNC(PyObject *) _PyObject_New(PyTypeObject *);
PyAPI_FUNC(PyVarObject *) _PyObject_NewVar(PyTypeObject *, Py_ssize_t);
#define PyObject_New(type, typeobj) \
( (type *) _PyObject_New(typeobj) )
#define PyObject_NewVar(type, typeobj, n) \
( (type *) _PyObject_NewVar((typeobj), (n)) )
/* Inline functions trading binary compatibility for speed:
PyObject_INIT() is the fast version of PyObject_Init(), and
PyObject_INIT_VAR() is the fast version of PyObject_InitVar.
See also pymem.h.
These inline functions expect non-NULL object pointers. */
static inline PyObject*
_PyObject_INIT(PyObject *op, PyTypeObject *typeobj)
{
assert(op != NULL);
Py_TYPE(op) = typeobj;
if (PyType_GetFlags(typeobj) & Py_TPFLAGS_HEAPTYPE) {
Py_INCREF(typeobj);
}
_Py_NewReference(op);
return op;
}
#define PyObject_INIT(op, typeobj) \
_PyObject_INIT(_PyObject_CAST(op), (typeobj))
static inline PyVarObject*
_PyObject_INIT_VAR(PyVarObject *op, PyTypeObject *typeobj, Py_ssize_t size)
{
assert(op != NULL);
Py_SIZE(op) = size;
PyObject_INIT((PyObject *)op, typeobj);
return op;
}
#define PyObject_INIT_VAR(op, typeobj, size) \
_PyObject_INIT_VAR(_PyVarObject_CAST(op), (typeobj), (size))
#define _PyObject_SIZE(typeobj) ( (typeobj)->tp_basicsize )
/* _PyObject_VAR_SIZE returns the number of bytes (as size_t) allocated for a
vrbl-size object with nitems items, exclusive of gc overhead (if any). The
value is rounded up to the closest multiple of sizeof(void *), in order to
ensure that pointer fields at the end of the object are correctly aligned
for the platform (this is of special importance for subclasses of, e.g.,
str or int, so that pointers can be stored after the embedded data).
Note that there's no memory wastage in doing this, as malloc has to
return (at worst) pointer-aligned memory anyway.
*/
#if ((SIZEOF_VOID_P - 1) & SIZEOF_VOID_P) != 0
# error "_PyObject_VAR_SIZE requires SIZEOF_VOID_P be a power of 2"
#endif
#define _PyObject_VAR_SIZE(typeobj, nitems) \
_Py_SIZE_ROUND_UP((typeobj)->tp_basicsize + \
(nitems)*(typeobj)->tp_itemsize, \
SIZEOF_VOID_P)
#define PyObject_NEW(type, typeobj) \
( (type *) PyObject_Init( \
(PyObject *) PyObject_MALLOC( _PyObject_SIZE(typeobj) ), (typeobj)) )
#define PyObject_NEW_VAR(type, typeobj, n) \
( (type *) PyObject_InitVar( \
(PyVarObject *) PyObject_MALLOC(_PyObject_VAR_SIZE((typeobj),(n)) ),\
(typeobj), (n)) )
/* This example code implements an object constructor with a custom
allocator, where PyObject_New is inlined, and shows the important
distinction between two steps (at least):
1) the actual allocation of the object storage;
2) the initialization of the Python specific fields
in this storage with PyObject_{Init, InitVar}.
PyObject *
YourObject_New(...)
{
PyObject *op;
op = (PyObject *) Your_Allocator(_PyObject_SIZE(YourTypeStruct));
if (op == NULL)
return PyErr_NoMemory();
PyObject_Init(op, &YourTypeStruct);
op->ob_field = value;
...
return op;
}
Note that in C++, the use of the new operator usually implies that
the 1st step is performed automatically for you, so in a C++ class
constructor you would start directly with PyObject_Init/InitVar
*/
/*
* Garbage Collection Support
* ==========================
*/
/* C equivalent of gc.collect() which ignores the state of gc.enabled. */
PyAPI_FUNC(Py_ssize_t) PyGC_Collect(void);
/* Test if a type has a GC head */
#define PyType_IS_GC(t) PyType_HasFeature((t), Py_TPFLAGS_HAVE_GC)
PyAPI_FUNC(PyVarObject *) _PyObject_GC_Resize(PyVarObject *, Py_ssize_t);
#define PyObject_GC_Resize(type, op, n) \
( (type *) _PyObject_GC_Resize(_PyVarObject_CAST(op), (n)) )
PyAPI_FUNC(PyObject *) _PyObject_GC_New(PyTypeObject *);
PyAPI_FUNC(PyVarObject *) _PyObject_GC_NewVar(PyTypeObject *, Py_ssize_t);
/* Tell the GC to track this object.
*
* See also private _PyObject_GC_TRACK() macro. */
PyAPI_FUNC(void) PyObject_GC_Track(void *);
/* Tell the GC to stop tracking this object.
*
* See also private _PyObject_GC_UNTRACK() macro. */
PyAPI_FUNC(void) PyObject_GC_UnTrack(void *);
PyAPI_FUNC(void) PyObject_GC_Del(void *);
#define PyObject_GC_New(type, typeobj) \
( (type *) _PyObject_GC_New(typeobj) )
#define PyObject_GC_NewVar(type, typeobj, n) \
( (type *) _PyObject_GC_NewVar((typeobj), (n)) )
/* Utility macro to help write tp_traverse functions.
* To use this macro, the tp_traverse function must name its arguments
* "visit" and "arg". This is intended to keep tp_traverse functions
* looking as much alike as possible.
*/
#define Py_VISIT(op) \
do { \
if (op) { \
int vret = visit(_PyObject_CAST(op), arg); \
if (vret) \
return vret; \
} \
} while (0)
#ifndef Py_LIMITED_API
# define Py_CPYTHON_OBJIMPL_H
# include "cpython/objimpl.h"
# undef Py_CPYTHON_OBJIMPL_H
#endif
#ifdef __cplusplus
}
#endif
#endif /* !Py_OBJIMPL_H */