| 1 | /* The PyObject_ memory family: high-level object memory interfaces.
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| 2 | See pymem.h for the low-level PyMem_ family.
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| 3 | */
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| 4 |
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| 5 | #ifndef Py_OBJIMPL_H
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| 6 | #define Py_OBJIMPL_H
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| 7 |
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| 8 | #include "pymem.h"
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| 9 |
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| 10 | #ifdef __cplusplus
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| 11 | extern "C" {
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| 12 | #endif
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| 13 |
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| 14 | /* BEWARE:
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| 15 |
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| 16 | Each interface exports both functions and macros. Extension modules should
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| 17 | use the functions, to ensure binary compatibility across Python versions.
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| 18 | Because the Python implementation is free to change internal details, and
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| 19 | the macros may (or may not) expose details for speed, if you do use the
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| 20 | macros you must recompile your extensions with each Python release.
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| 21 |
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| 22 | Never mix calls to PyObject_ memory functions with calls to the platform
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| 23 | malloc/realloc/ calloc/free, or with calls to PyMem_.
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| 24 | */
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| 25 |
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| 26 | /*
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| 27 | Functions and macros for modules that implement new object types.
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| 28 |
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| 29 | - PyObject_New(type, typeobj) allocates memory for a new object of the given
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| 30 | type, and initializes part of it. 'type' must be the C structure type used
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| 31 | to represent the object, and 'typeobj' the address of the corresponding
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| 32 | type object. Reference count and type pointer are filled in; the rest of
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| 33 | the bytes of the object are *undefined*! The resulting expression type is
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| 34 | 'type *'. The size of the object is determined by the tp_basicsize field
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| 35 | of the type object.
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| 36 |
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| 37 | - PyObject_NewVar(type, typeobj, n) is similar but allocates a variable-size
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| 38 | object with room for n items. In addition to the refcount and type pointer
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| 39 | fields, this also fills in the ob_size field.
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| 40 |
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| 41 | - PyObject_Del(op) releases the memory allocated for an object. It does not
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| 42 | run a destructor -- it only frees the memory. PyObject_Free is identical.
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| 43 |
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| 44 | - PyObject_Init(op, typeobj) and PyObject_InitVar(op, typeobj, n) don't
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| 45 | allocate memory. Instead of a 'type' parameter, they take a pointer to a
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| 46 | new object (allocated by an arbitrary allocator), and initialize its object
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| 47 | header fields.
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| 48 |
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| 49 | Note that objects created with PyObject_{New, NewVar} are allocated using the
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| 50 | specialized Python allocator (implemented in obmalloc.c), if WITH_PYMALLOC is
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| 51 | enabled. In addition, a special debugging allocator is used if PYMALLOC_DEBUG
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| 52 | is also #defined.
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| 53 |
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| 54 | In case a specific form of memory management is needed (for example, if you
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| 55 | must use the platform malloc heap(s), or shared memory, or C++ local storage or
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| 56 | operator new), you must first allocate the object with your custom allocator,
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| 57 | then pass its pointer to PyObject_{Init, InitVar} for filling in its Python-
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| 58 | specific fields: reference count, type pointer, possibly others. You should
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| 59 | be aware that Python no control over these objects because they don't
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| 60 | cooperate with the Python memory manager. Such objects may not be eligible
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| 61 | for automatic garbage collection and you have to make sure that they are
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| 62 | released accordingly whenever their destructor gets called (cf. the specific
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| 63 | form of memory management you're using).
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| 64 |
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| 65 | Unless you have specific memory management requirements, use
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| 66 | PyObject_{New, NewVar, Del}.
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| 67 | */
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| 68 |
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| 69 | /*
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| 70 | * Raw object memory interface
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| 71 | * ===========================
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| 72 | */
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| 73 |
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| 74 | /* Functions to call the same malloc/realloc/free as used by Python's
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| 75 | object allocator. If WITH_PYMALLOC is enabled, these may differ from
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| 76 | the platform malloc/realloc/free. The Python object allocator is
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| 77 | designed for fast, cache-conscious allocation of many "small" objects,
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| 78 | and with low hidden memory overhead.
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| 79 |
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| 80 | PyObject_Malloc(0) returns a unique non-NULL pointer if possible.
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| 81 |
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| 82 | PyObject_Realloc(NULL, n) acts like PyObject_Malloc(n).
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| 83 | PyObject_Realloc(p != NULL, 0) does not return NULL, or free the memory
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| 84 | at p.
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| 85 |
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| 86 | Returned pointers must be checked for NULL explicitly; no action is
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| 87 | performed on failure other than to return NULL (no warning it printed, no
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| 88 | exception is set, etc).
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| 89 |
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| 90 | For allocating objects, use PyObject_{New, NewVar} instead whenever
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| 91 | possible. The PyObject_{Malloc, Realloc, Free} family is exposed
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| 92 | so that you can exploit Python's small-block allocator for non-object
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| 93 | uses. If you must use these routines to allocate object memory, make sure
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| 94 | the object gets initialized via PyObject_{Init, InitVar} after obtaining
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| 95 | the raw memory.
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| 96 | */
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| 97 | PyAPI_FUNC(void *) PyObject_Malloc(size_t);
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| 98 | PyAPI_FUNC(void *) PyObject_Realloc(void *, size_t);
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| 99 | PyAPI_FUNC(void) PyObject_Free(void *);
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| 100 |
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| 101 |
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| 102 | /* Macros */
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| 103 | #ifdef WITH_PYMALLOC
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| 104 | #ifdef PYMALLOC_DEBUG /* WITH_PYMALLOC && PYMALLOC_DEBUG */
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| 105 | PyAPI_FUNC(void *) _PyObject_DebugMalloc(size_t nbytes);
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| 106 | PyAPI_FUNC(void *) _PyObject_DebugRealloc(void *p, size_t nbytes);
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| 107 | PyAPI_FUNC(void) _PyObject_DebugFree(void *p);
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| 108 | PyAPI_FUNC(void) _PyObject_DebugDumpAddress(const void *p);
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| 109 | PyAPI_FUNC(void) _PyObject_DebugCheckAddress(const void *p);
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| 110 | PyAPI_FUNC(void) _PyObject_DebugMallocStats(void);
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| 111 | #define PyObject_MALLOC _PyObject_DebugMalloc
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| 112 | #define PyObject_Malloc _PyObject_DebugMalloc
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| 113 | #define PyObject_REALLOC _PyObject_DebugRealloc
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| 114 | #define PyObject_Realloc _PyObject_DebugRealloc
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