112 lines
5.3 KiB
Cython
112 lines
5.3 KiB
Cython
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cdef extern from "Python.h":
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#####################################################################
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# 9.2 Memory Interface
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#####################################################################
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# You are definitely *supposed* to use these: "In most situations,
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# however, it is recommended to allocate memory from the Python
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# heap specifically because the latter is under control of the
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# Python memory manager. For example, this is required when the
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# interpreter is extended with new object types written in
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# C. Another reason for using the Python heap is the desire to
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# inform the Python memory manager about the memory needs of the
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# extension module. Even when the requested memory is used
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# exclusively for internal, highly-specific purposes, delegating
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# all memory requests to the Python memory manager causes the
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# interpreter to have a more accurate image of its memory
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# footprint as a whole. Consequently, under certain circumstances,
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# the Python memory manager may or may not trigger appropriate
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# actions, like garbage collection, memory compaction or other
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# preventive procedures. Note that by using the C library
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# allocator as shown in the previous example, the allocated memory
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# for the I/O buffer escapes completely the Python memory
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# manager."
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# The following function sets, modeled after the ANSI C standard,
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# but specifying behavior when requesting zero bytes, are
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# available for allocating and releasing memory from the Python
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# heap:
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void* PyMem_RawMalloc(size_t n) nogil
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void* PyMem_Malloc(size_t n)
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# Allocates n bytes and returns a pointer of type void* to the
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# allocated memory, or NULL if the request fails. Requesting zero
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# bytes returns a distinct non-NULL pointer if possible, as if
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# PyMem_Malloc(1) had been called instead. The memory will not
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# have been initialized in any way.
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void* PyMem_RawRealloc(void *p, size_t n) nogil
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void* PyMem_Realloc(void *p, size_t n)
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# Resizes the memory block pointed to by p to n bytes. The
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# contents will be unchanged to the minimum of the old and the new
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# sizes. If p is NULL, the call is equivalent to PyMem_Malloc(n);
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# else if n is equal to zero, the memory block is resized but is
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# not freed, and the returned pointer is non-NULL. Unless p is
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# NULL, it must have been returned by a previous call to
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# PyMem_Malloc() or PyMem_Realloc().
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void PyMem_RawFree(void *p) nogil
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void PyMem_Free(void *p)
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# Frees the memory block pointed to by p, which must have been
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# returned by a previous call to PyMem_Malloc() or
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# PyMem_Realloc(). Otherwise, or if PyMem_Free(p) has been called
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# before, undefined behavior occurs. If p is NULL, no operation is
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# performed.
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# The following type-oriented macros are provided for
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# convenience. Note that TYPE refers to any C type.
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# TYPE* PyMem_New(TYPE, size_t n)
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# Same as PyMem_Malloc(), but allocates (n * sizeof(TYPE)) bytes
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# of memory. Returns a pointer cast to TYPE*. The memory will not
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# have been initialized in any way.
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# TYPE* PyMem_Resize(void *p, TYPE, size_t n)
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# Same as PyMem_Realloc(), but the memory block is resized to (n *
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# sizeof(TYPE)) bytes. Returns a pointer cast to TYPE*.
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void PyMem_Del(void *p)
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# Same as PyMem_Free().
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# In addition, the following macro sets are provided for calling
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# the Python memory allocator directly, without involving the C
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# API functions listed above. However, note that their use does
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# not preserve binary compatibility across Python versions and is
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# therefore deprecated in extension modules.
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# PyMem_MALLOC(), PyMem_REALLOC(), PyMem_FREE().
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# PyMem_NEW(), PyMem_RESIZE(), PyMem_DEL().
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#####################################################################
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# Raw object memory interface
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#####################################################################
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# Functions to call the same malloc/realloc/free as used by Python's
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# object allocator. If WITH_PYMALLOC is enabled, these may differ from
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# the platform malloc/realloc/free. The Python object allocator is
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# designed for fast, cache-conscious allocation of many "small" objects,
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# and with low hidden memory overhead.
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#
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# PyObject_Malloc(0) returns a unique non-NULL pointer if possible.
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#
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# PyObject_Realloc(NULL, n) acts like PyObject_Malloc(n).
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# PyObject_Realloc(p != NULL, 0) does not return NULL, or free the memory
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# at p.
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#
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# Returned pointers must be checked for NULL explicitly; no action is
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# performed on failure other than to return NULL (no warning it printed, no
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# exception is set, etc).
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#
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# For allocating objects, use PyObject_{New, NewVar} instead whenever
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# possible. The PyObject_{Malloc, Realloc, Free} family is exposed
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# so that you can exploit Python's small-block allocator for non-object
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# uses. If you must use these routines to allocate object memory, make sure
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# the object gets initialized via PyObject_{Init, InitVar} after obtaining
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# the raw memory.
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void* PyObject_Malloc(size_t size)
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void* PyObject_Calloc(size_t nelem, size_t elsize)
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void* PyObject_Realloc(void *ptr, size_t new_size)
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void PyObject_Free(void *ptr)
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