| /* 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 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); | |
| PyAPI_FUNC(void *) PyObject_Realloc(void *, size_t); | |
| PyAPI_FUNC(void) PyObject_Free(void *); | |
| /* Macros */ | |
| #ifdef WITH_PYMALLOC | |
| #ifdef PYMALLOC_DEBUG /* WITH_PYMALLOC && PYMALLOC_DEBUG */ | |
| PyAPI_FUNC(void *) _PyObject_DebugMalloc(size_t nbytes); | |
| PyAPI_FUNC(void *) _PyObject_DebugRealloc(void *p, size_t nbytes); | |
| PyAPI_FUNC(void) _PyObject_DebugFree(void *p); | |
| PyAPI_FUNC(void) _PyObject_DebugDumpAddress(const void *p); | |
| PyAPI_FUNC(void) _PyObject_DebugCheckAddress(const void *p); | |
| PyAPI_FUNC(void) _PyObject_DebugMallocStats(void); | |
| PyAPI_FUNC(void *) _PyObject_DebugMallocApi(char api, size_t nbytes); | |
| PyAPI_FUNC(void *) _PyObject_DebugReallocApi(char api, void *p, size_t nbytes); | |
| PyAPI_FUNC(void) _PyObject_DebugFreeApi(char api, void *p); | |
| PyAPI_FUNC(void) _PyObject_DebugCheckAddressApi(char api, const void *p); | |
| PyAPI_FUNC(void *) _PyMem_DebugMalloc(size_t nbytes); | |
| PyAPI_FUNC(void *) _PyMem_DebugRealloc(void *p, size_t nbytes); | |
| PyAPI_FUNC(void) _PyMem_DebugFree(void *p); | |
| #define PyObject_MALLOC _PyObject_DebugMalloc | |
| #define PyObject_Malloc _PyObject_DebugMalloc | |
| #define PyObject_REALLOC _PyObject_DebugRealloc | |
| #define PyObject_Realloc _PyObject_DebugRealloc | |
| #define PyObject_FREE _PyObject_DebugFree | |
| #define PyObject_Free _PyObject_DebugFree | |
| #else /* WITH_PYMALLOC && ! PYMALLOC_DEBUG */ | |
| #define PyObject_MALLOC PyObject_Malloc | |
| #define PyObject_REALLOC PyObject_Realloc | |
| #define PyObject_FREE PyObject_Free | |
| #endif | |
| #else /* ! WITH_PYMALLOC */ | |
| #define PyObject_MALLOC PyMem_MALLOC | |
| #define PyObject_REALLOC PyMem_REALLOC | |
| #define PyObject_FREE PyMem_FREE | |
| #endif /* WITH_PYMALLOC */ | |
| #define PyObject_Del PyObject_Free | |
| #define PyObject_DEL PyObject_FREE | |
| /* for source compatibility with 2.2 */ | |
| #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)) ) | |
| /* Macros trading binary compatibility for speed. See also pymem.h. | |
| Note that these macros expect non-NULL object pointers.*/ | |
| #define PyObject_INIT(op, typeobj) \ | |
| ( Py_TYPE(op) = (typeobj), _Py_NewReference((PyObject *)(op)), (op) ) | |
| #define PyObject_INIT_VAR(op, typeobj, size) \ | |
| ( Py_SIZE(op) = (size), PyObject_INIT((op), (typeobj)) ) | |
| #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 long, 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) \ | |
| (size_t) \ | |
| ( ( (typeobj)->tp_basicsize + \ | |
| (nitems)*(typeobj)->tp_itemsize + \ | |
| (SIZEOF_VOID_P - 1) \ | |
| ) & ~(SIZEOF_VOID_P - 1) \ | |
| ) | |
| #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(). */ | |
| 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) | |
| /* Test if an object has a GC head */ | |
| #define PyObject_IS_GC(o) (PyType_IS_GC(Py_TYPE(o)) && \ | |
| (Py_TYPE(o)->tp_is_gc == NULL || Py_TYPE(o)->tp_is_gc(o))) | |
| PyAPI_FUNC(PyVarObject *) _PyObject_GC_Resize(PyVarObject *, Py_ssize_t); | |
| #define PyObject_GC_Resize(type, op, n) \ | |
| ( (type *) _PyObject_GC_Resize((PyVarObject *)(op), (n)) ) | |
| /* for source compatibility with 2.2 */ | |
| #define _PyObject_GC_Del PyObject_GC_Del | |
| /* GC information is stored BEFORE the object structure. */ | |
| typedef union _gc_head { | |
| struct { | |
| union _gc_head *gc_next; | |
| union _gc_head *gc_prev; | |
| Py_ssize_t gc_refs; | |
| } gc; | |
| long double dummy; /* force worst-case alignment */ | |
| } PyGC_Head; | |
| extern PyGC_Head *_PyGC_generation0; | |
| #define _Py_AS_GC(o) ((PyGC_Head *)(o)-1) | |
| #define _PyGC_REFS_UNTRACKED (-2) | |
| #define _PyGC_REFS_REACHABLE (-3) | |
| #define _PyGC_REFS_TENTATIVELY_UNREACHABLE (-4) | |
| /* Tell the GC to track this object. NB: While the object is tracked the | |
| * collector it must be safe to call the ob_traverse method. */ | |
| #define _PyObject_GC_TRACK(o) do { \ | |
| PyGC_Head *g = _Py_AS_GC(o); \ | |
| if (g->gc.gc_refs != _PyGC_REFS_UNTRACKED) \ | |
| Py_FatalError("GC object already tracked"); \ | |
| g->gc.gc_refs = _PyGC_REFS_REACHABLE; \ | |
| g->gc.gc_next = _PyGC_generation0; \ | |
| g->gc.gc_prev = _PyGC_generation0->gc.gc_prev; \ | |
| g->gc.gc_prev->gc.gc_next = g; \ | |
| _PyGC_generation0->gc.gc_prev = g; \ | |
| } while (0); | |
| /* Tell the GC to stop tracking this object. | |
| * gc_next doesn't need to be set to NULL, but doing so is a good | |
| * way to provoke memory errors if calling code is confused. | |
| */ | |
| #define _PyObject_GC_UNTRACK(o) do { \ | |
| PyGC_Head *g = _Py_AS_GC(o); \ | |
| assert(g->gc.gc_refs != _PyGC_REFS_UNTRACKED); \ | |
| g->gc.gc_refs = _PyGC_REFS_UNTRACKED; \ | |
| g->gc.gc_prev->gc.gc_next = g->gc.gc_next; \ | |
| g->gc.gc_next->gc.gc_prev = g->gc.gc_prev; \ | |
| g->gc.gc_next = NULL; \ | |
| } while (0); | |
| /* True if the object is currently tracked by the GC. */ | |
| #define _PyObject_GC_IS_TRACKED(o) \ | |
| ((_Py_AS_GC(o))->gc.gc_refs != _PyGC_REFS_UNTRACKED) | |
| /* True if the object may be tracked by the GC in the future, or already is. | |
| This can be useful to implement some optimizations. */ | |
| #define _PyObject_GC_MAY_BE_TRACKED(obj) \ | |
| (PyObject_IS_GC(obj) && \ | |
| (!PyTuple_CheckExact(obj) || _PyObject_GC_IS_TRACKED(obj))) | |
| PyAPI_FUNC(PyObject *) _PyObject_GC_Malloc(size_t); | |
| PyAPI_FUNC(PyObject *) _PyObject_GC_New(PyTypeObject *); | |
| PyAPI_FUNC(PyVarObject *) _PyObject_GC_NewVar(PyTypeObject *, Py_ssize_t); | |
| PyAPI_FUNC(void) PyObject_GC_Track(void *); | |
| 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 *)(op), arg); \ | |
| if (vret) \ | |
| return vret; \ | |
| } \ | |
| } while (0) | |
| /* This is here for the sake of backwards compatibility. Extensions that | |
| * use the old GC API will still compile but the objects will not be | |
| * tracked by the GC. */ | |
| #define PyGC_HEAD_SIZE 0 | |
| #define PyObject_GC_Init(op) | |
| #define PyObject_GC_Fini(op) | |
| #define PyObject_AS_GC(op) (op) | |
| #define PyObject_FROM_GC(op) (op) | |
| /* Test if a type supports weak references */ | |
| #define PyType_SUPPORTS_WEAKREFS(t) \ | |
| (PyType_HasFeature((t), Py_TPFLAGS_HAVE_WEAKREFS) \ | |
| && ((t)->tp_weaklistoffset > 0)) | |
| #define PyObject_GET_WEAKREFS_LISTPTR(o) \ | |
| ((PyObject **) (((char *) (o)) + Py_TYPE(o)->tp_weaklistoffset)) | |
| #ifdef __cplusplus | |
| } | |
| #endif | |
| #endif /* !Py_OBJIMPL_H */ |