曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜.
/* The PyMem_ family: low-level memory allocation interfaces.
See objimpl.h for the PyObject_ memory family.
*/
#ifndef Py_PYMEM_H
#define Py_PYMEM_H
#include "pyport.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 PyMem_ with calls to the platform malloc/realloc/
calloc/free. For example, on Windows different DLLs may end up using
different heaps, and if you use PyMem_Malloc you'll get the memory from the
heap used by the Python DLL; it could be a disaster if you free()'ed that
directly in your own extension. Using PyMem_Free instead ensures Python
can return the memory to the proper heap. As another example, in
PYMALLOC_DEBUG mode, Python wraps all calls to all PyMem_ and PyObject_
memory functions in special debugging wrappers that add additional
debugging info to dynamic memory blocks. The system routines have no idea
what to do with that stuff, and the Python wrappers have no idea what to do
with raw blocks obtained directly by the system routines then.
The GIL must be held when using these APIs.
*/
/*
* Raw memory interface
* ====================
*/
/* Functions
Functions supplying platform-independent semantics for malloc/realloc/
free. These functions make sure that allocating 0 bytes returns a distinct
non-NULL pointer (whenever possible -- if we're flat out of memory, NULL
may be returned), even if the platform malloc and realloc don't.
Returned pointers must be checked for NULL explicitly. No action is
performed on failure (no exception is set, no warning is printed, etc).
*/
PyAPI_FUNC(void *) PyMem_Malloc(size_t);
PyAPI_FUNC(void *) PyMem_Realloc(void *, size_t);
PyAPI_FUNC(void) PyMem_Free(void *);
/* Starting from Python 1.6, the wrappers Py_{Malloc,Realloc,Free} are
no longer supported. They used to call PyErr_NoMemory() on failure. */
/* Macros. */
#ifdef PYMALLOC_DEBUG
/* Redirect all memory operations to Python's debugging allocator. */
#define PyMem_MALLOC _PyMem_DebugMalloc
#define PyMem_REALLOC _PyMem_DebugRealloc
#define PyMem_FREE _PyMem_DebugFree
#else /* ! PYMALLOC_DEBUG */
/* PyMem_MALLOC(0) means malloc(1). Some systems would return NULL
for malloc(0), which would be treated as an error. Some platforms
would return a pointer with no memory behind it, which would break
pymalloc. To solve these problems, allocate an extra byte. */
/* Returns NULL to indicate error if a negative size or size larger than
Py_ssize_t can represent is supplied. Helps prevents security holes. */
#define PyMem_MALLOC(n) ((size_t)(n) > (size_t)PY_SSIZE_T_MAX ? NULL \
: malloc((n) ? (n) : 1))
#define PyMem_REALLOC(p, n) ((size_t)(n) > (size_t)PY_SSIZE_T_MAX ? NULL \
: realloc((p), (n) ? (n) : 1))
#define PyMem_FREE free
#endif /* PYMALLOC_DEBUG */
/*
* Type-oriented memory interface
* ==============================
*
* Allocate memory for n objects of the given type. Returns a new pointer
* or NULL if the request was too large or memory allocation failed. Use
* these macros rather than doing the multiplication yourself so that proper
* overflow checking is always done.
*/
#define PyMem_New(type, n) \
( ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
( (type *) PyMem_Malloc((n) * sizeof(type)) ) )
#define PyMem_NEW(type, n) \
( ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
( (type *) PyMem_MALLOC((n) * sizeof(type)) ) )
/*
* The value of (p) is always clobbered by this macro regardless of success.
* The caller MUST check if (p) is NULL afterwards and deal with the memory
* error if so. This means the original value of (p) MUST be saved for the
* caller's memory error handler to not lose track of it.
*/
#define PyMem_Resize(p, type, n) \
( (p) = ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
(type *) PyMem_Realloc((p), (n) * sizeof(type)) )
#define PyMem_RESIZE(p, type, n) \
( (p) = ((size_t)(n) > PY_SSIZE_T_MAX / sizeof(type)) ? NULL : \
(type *) PyMem_REALLOC((p), (n) * sizeof(type)) )
/* PyMem{Del,DEL} are left over from ancient days, and shouldn't be used
* anymore. They're just confusing aliases for PyMem_{Free,FREE} now.
*/
#define PyMem_Del PyMem_Free
#define PyMem_DEL PyMem_FREE
#ifdef __cplusplus
}
#endif
#endif /* !Py_PYMEM_H */