# 記憶體管理

## 總覽

Memory management in Python involves a private heap containing all Python objects and data structures. The management of this private heap is ensured internally by the Python memory manager. The Python memory manager has different components which deal with various dynamic storage management aspects, like sharing, segmentation, preallocation or caching.

At the lowest level, a raw memory allocator ensures that there is enough room in the private heap for storing all Python-related data by interacting with the memory manager of the operating system. On top of the raw memory allocator, several object-specific allocators operate on the same heap and implement distinct memory management policies adapted to the peculiarities of every object type. For example, integer objects are managed differently within the heap than strings, tuples or dictionaries because integers imply different storage requirements and speed/space tradeoffs. The Python memory manager thus delegates some of the work to the object-specific allocators, but ensures that the latter operate within the bounds of the private heap.

It is important to understand that the management of the Python heap is performed by the interpreter itself and that the user has no control over it, even if they regularly manipulate object pointers to memory blocks inside that heap. The allocation of heap space for Python objects and other internal buffers is performed on demand by the Python memory manager through the Python/C API functions listed in this document.

To avoid memory corruption, extension writers should never try to operate on Python objects with the functions exported by the C library: `malloc()`, `calloc()`, `realloc()` and `free()`. This will result in mixed calls between the C allocator and the Python memory manager with fatal consequences, because they implement different algorithms and operate on different heaps. However, one may safely allocate and release memory blocks with the C library allocator for individual purposes, as shown in the following example:

    PyObject *res;
    char *buf = (char *) malloc(BUFSIZ); /* for I/O */

    if (buf == NULL)
        return PyErr_NoMemory();
    ...Do some I/O operation involving buf...
    res = PyBytes_FromString(buf);
    free(buf); /* malloc'ed */
    return res;

In this example, the memory request for the I/O buffer is handled by the C library allocator. The Python memory manager is involved only in the allocation of the string object returned as a result.

In most situations, however, it is recommended to allocate memory from the Python heap specifically because the latter is under control of the Python memory manager. For example, this is required when the interpreter is extended with new object types written in C. Another reason for using the Python heap is the desire to inform the Python memory manager about the memory needs of the extension module. Even when the requested memory is used exclusively for internal, highly-specific purposes, delegating all memory requests to the Python memory manager causes the interpreter to have a more accurate image of its memory footprint as a whole. Consequently, under certain circumstances, the Python memory manager may or may not trigger appropriate actions, like garbage collection, memory compaction or other preventive procedures. Note that by using the C library allocator as shown in the previous example, the allocated memory for the I/O buffer escapes completely the Python memory manager.

也參考

The `PYTHONMALLOC` environment variable can be used to configure the memory allocators used by Python.

The `PYTHONMALLOCSTATS` environment variable can be used to print statistics of the pymalloc memory allocator every time a new pymalloc object arena is created, and on shutdown.

## Raw Memory Interface

The following function sets are wrappers to the system allocator. These functions are thread-safe, the GIL does not need to be held.

The default raw memory allocator uses the following functions: `malloc()`, `calloc()`, `realloc()` and `free()`; call `malloc(1)` (or `calloc(1, 1)`) when requesting zero bytes.

3.4 版新加入.

void* `PyMem_RawMalloc`(size_t n)

  Allocates n bytes and returns a pointer of type `void*` to the allocated memory, or NULL if the request fails.

  Requesting zero bytes returns a distinct non-NULL pointer if possible, as if `PyMem_RawMalloc(1)` had been called instead. The memory will not have been initialized in any way.

void* `PyMem_RawCalloc`(size_t nelem, size_t elsize)

  Allocates nelem elements each whose size in bytes is elsize and returns a pointer of type `void*` to the allocated memory, or NULL if the request fails. The memory is initialized to zeros.

  Requesting zero elements or elements of size zero bytes returns a distinct non-NULL pointer if possible, as if `PyMem_RawCalloc(1, 1)` had been called instead.

  3.5 版新加入.

void* `PyMem_RawRealloc`(void *p, size_t n)

  Resizes the memory block pointed to by p to n bytes. The contents will be unchanged to the minimum of the old and the new sizes.

  If p is NULL, the call is equivalent to `PyMem_RawMalloc(n)`; else if n is equal to zero, the memory block is resized but is not freed, and the returned pointer is non-NULL.

  Unless p is NULL, it must have been returned by a previous call to `PyMem_RawMalloc()`, `PyMem_RawRealloc()` or `PyMem_RawCalloc()`.

  If the request fails, `PyMem_RawRealloc()` returns NULL and p remains a valid pointer to the previous memory area.

void `PyMem_RawFree`(void *p)

  Frees the memory block pointed to by p, which must have been returned by a previous call to `PyMem_RawMalloc()`, `PyMem_RawRealloc()` or `PyMem_RawCalloc()`. Otherwise, or if `PyMem_RawFree(p)` has been called before, undefined behavior occurs.

  If p is NULL, no operation is performed.

## Memory Interface

The following function sets, modeled after the ANSI C standard, but specifying behavior when requesting zero bytes, are available for allocating and releasing memory from the Python heap.

The default memory allocator uses the pymalloc memory allocator.

警告

The GIL must be held when using these functions.

3.6 版更變: The default allocator is now pymalloc instead of system `malloc()`.

void* `PyMem_Malloc`(size_t n)

  Allocates n bytes and returns a pointer of type `void*` to the allocated memory, or NULL if the request fails.

  Requesting zero bytes returns a distinct non-NULL pointer if possible, as if `PyMem_Malloc(1)` had been called instead. The memory will not have been initialized in any way.

void* `PyMem_Calloc`(size_t nelem, size_t elsize)

  Allocates nelem elements each whose size in bytes is elsize and returns a pointer of type `void*` to the allocated memory, or NULL if the request fails. The memory is initialized to zeros.

  Requesting zero elements or elements of size zero bytes returns a distinct non-NULL pointer if possible, as if `PyMem_Calloc(1, 1)` had been called instead.

  3.5 版新加入.

void* `PyMem_Realloc`(void *p, size_t n)

  Resizes the memory block pointed to by p to n bytes. The contents will be unchanged to the minimum of the old and the new sizes.

  If p is NULL, the call is equivalent to `PyMem_Malloc(n)`; else if n is equal to zero, the memory block is resized but is not freed, and the returned pointer is non-NULL.

  Unless p is NULL, it must have been returned by a previous call to `PyMem_Malloc()`, `PyMem_Realloc()` or `PyMem_Calloc()`.

  If the request fails, `PyMem_Realloc()` returns NULL and p remains a valid pointer to the previous memory area.

void `PyMem_Free`(void *p)

  Frees the memory block pointed to by p, which must have been returned by a previous call to `PyMem_Malloc()`, `PyMem_Realloc()` or `PyMem_Calloc()`. Otherwise, or if `PyMem_Free(p)` has been called before, undefined behavior occurs.

  If p is NULL, no operation is performed.

The following type-oriented macros are provided for convenience. Note that TYPE refers to any C type.

TYPE* `PyMem_New`(TYPE, size_t n)

  Same as `PyMem_Malloc()`, but allocates `(n * sizeof(TYPE))` bytes of memory. Returns a pointer cast to `TYPE*`. The memory will not have been initialized in any way.

TYPE* `PyMem_Resize`(void *p, TYPE, size_t n)

  Same as `PyMem_Realloc()`, but the memory block is resized to `(n * sizeof(TYPE))` bytes. Returns a pointer cast to `TYPE*`. On return, p will be a pointer to the new memory area, or NULL in the event of failure.

  This is a C preprocessor macro; p is always reassigned. Save the original value of p to avoid losing memory when handling errors.

void `PyMem_Del`(void *p)

  Same as `PyMem_Free()`.

In addition, the following macro sets are provided for calling the Python memory allocator directly, without involving the C API functions listed above. However, note that their use does not preserve binary compatibility across Python versions and is therefore deprecated in extension modules.

- `PyMem_MALLOC(size)`

- `PyMem_NEW(type, size)`

- `PyMem_REALLOC(ptr, size)`

- `PyMem_RESIZE(ptr, type, size)`

- `PyMem_FREE(ptr)`

- `PyMem_DEL(ptr)`

## Object allocators

The following function sets, modeled after the ANSI C standard, but specifying behavior when requesting zero bytes, are available for allocating and releasing memory from the Python heap.

The default object allocator uses the pymalloc memory allocator.

警告

The GIL must be held when using these functions.

void* `PyObject_Malloc`(size_t n)

  Allocates n bytes and returns a pointer of type `void*` to the allocated memory, or NULL if the request fails.

  Requesting zero bytes returns a distinct non-NULL pointer if possible, as if `PyObject_Malloc(1)` had been called instead. The memory will not have been initialized in any way.

void* `PyObject_Calloc`(size_t nelem, size_t elsize)

  Allocates nelem elements each whose size in bytes is elsize and returns a pointer of type `void*` to the allocated memory, or NULL if the request fails. The memory is initialized to zeros.

  Requesting zero elements or elements of size zero bytes returns a distinct non-NULL pointer if possible, as if `PyObject_Calloc(1, 1)` had been called instead.

  3.5 版新加入.

void* `PyObject_Realloc`(void *p, size_t n)

  Resizes the memory block pointed to by p to n bytes. The contents will be unchanged to the minimum of the old and the new sizes.

  If p is NULL, the call is equivalent to `PyObject_Malloc(n)`; else if n is equal to zero, the memory block is resized but is not freed, and the returned pointer is non-NULL.

  Unless p is NULL, it must have been returned by a previous call to `PyObject_Malloc()`, `PyObject_Realloc()` or `PyObject_Calloc()`.

  If the request fails, `PyObject_Realloc()` returns NULL and p remains a valid pointer to the previous memory area.

void `PyObject_Free`(void *p)

  Frees the memory block pointed to by p, which must have been returned by a previous call to `PyObject_Malloc()`, `PyObject_Realloc()` or `PyObject_Calloc()`. Otherwise, or if `PyObject_Free(p)` has been called before, undefined behavior occurs.

  If p is NULL, no operation is performed.

## Default Memory Allocators

Default memory allocators:

Configuration | Name | PyMem_RawMalloc | PyMem_Malloc | PyObject_Malloc
--- | --- | --- | --- | ---
Release build | `"pymalloc"` | `malloc` | `pymalloc` | `pymalloc`
Debug build | `"pymalloc_debug"` | `malloc` + debug | `pymalloc` + debug | `pymalloc` + debug
Release build, without pymalloc | `"malloc"` | `malloc` | `malloc` | `malloc`
Debug build, without pymalloc | `"malloc_debug"` | `malloc` + debug | `malloc` + debug | `malloc` + debug

Legend:

- Name: value for `PYTHONMALLOC` environment variable

- `malloc`: system allocators from the standard C library, C functions: `malloc()`, `calloc()`, `realloc()` and `free()`

- `pymalloc`: pymalloc memory allocator

- "+ debug": with debug hooks installed by `PyMem_SetupDebugHooks()`

## Customize Memory Allocators

3.4 版新加入.

`PyMemAllocatorEx`

  Structure used to describe a memory block allocator. The structure has four fields:

  Field | Meaning
  --- | ---
  `void *ctx` | user context passed as first argument
  `void* malloc(void *ctx, size_t size)` | allocate a memory block
  `void* calloc(void *ctx, size_t nelem, size_t elsize)` | allocate a memory block initialized with zeros
  `void* realloc(void *ctx, void *ptr, size_t new_size)` | allocate or resize a memory block
  `void free(void *ctx, void *ptr)` | free a memory block

  3.5 版更變: The `PyMemAllocator` structure was renamed to `PyMemAllocatorEx` and a new `calloc` field was added.

`PyMemAllocatorDomain`

  Enum used to identify an allocator domain. Domains:

  `PYMEM_DOMAIN_RAW`

    Functions:

    - `PyMem_RawMalloc()`

    - `PyMem_RawRealloc()`

    - `PyMem_RawCalloc()`

    - `PyMem_RawFree()`

  `PYMEM_DOMAIN_MEM`

    Functions:

    - `PyMem_Malloc()`,

    - `PyMem_Realloc()`

    - `PyMem_Calloc()`

    - `PyMem_Free()`

  `PYMEM_DOMAIN_OBJ`

    Functions:

    - `PyObject_Malloc()`

    - `PyObject_Realloc()`

    - `PyObject_Calloc()`

    - `PyObject_Free()`

void `PyMem_GetAllocator`(PyMemAllocatorDomain domain, PyMemAllocatorEx *allocator)

  Get the memory block allocator of the specified domain.

void `PyMem_SetAllocator`(PyMemAllocatorDomain domain, PyMemAllocatorEx *allocator)

  Set the memory block allocator of the specified domain.

  The new allocator must return a distinct non-NULL pointer when requesting zero bytes.

  For the `PYMEM_DOMAIN_RAW` domain, the allocator must be thread-safe: the GIL is not held when the allocator is called.

  If the new allocator is not a hook (does not call the previous allocator), the `PyMem_SetupDebugHooks()` function must be called to reinstall the debug hooks on top on the new allocator.

void `PyMem_SetupDebugHooks`(void)

  Setup hooks to detect bugs in the Python memory allocator functions.

  Newly allocated memory is filled with the byte `0xCD` (`CLEANBYTE`), freed memory is filled with the byte `0xDD` (`DEADBYTE`). Memory blocks are surrounded by "forbidden bytes" (`FORBIDDENBYTE`: byte `0xFD`).

  Runtime checks:

  - Detect API violations, ex: `PyObject_Free()` called on a buffer allocated by `PyMem_Malloc()`

  - Detect write before the start of the buffer (buffer underflow)

  - Detect write after the end of the buffer (buffer overflow)

  - Check that the GIL is held when allocator functions of `PYMEM_DOMAIN_OBJ` (ex: `PyObject_Malloc()`) and `PYMEM_DOMAIN_MEM` (ex: `PyMem_Malloc()`) domains are called

  On error, the debug hooks use the `tracemalloc` module to get the traceback where a memory block was allocated. The traceback is only displayed if `tracemalloc` is tracing Python memory allocations and the memory block was traced.

  These hooks are installed by default if Python is compiled in debug mode. The `PYTHONMALLOC` environment variable can be used to install debug hooks on a Python compiled in release mode.

  3.6 版更變: This function now also works on Python compiled in release mode. On error, the debug hooks now use `tracemalloc` to get the traceback where a memory block was allocated. The debug hooks now also check if the GIL is held when functions of `PYMEM_DOMAIN_OBJ` and `PYMEM_DOMAIN_MEM` domains are called.

  3.8.0 版更變: Byte patterns `0xCB` (`CLEANBYTE`), `0xDB` (`DEADBYTE`) and `0xFB` (`FORBIDDENBYTE`) have been replaced with `0xCD`, `0xDD` and `0xFD` to use the same values than Windows CRT debug `malloc()` and `free()`.

## The pymalloc allocator

Python has a pymalloc allocator optimized for small objects (smaller or equal to 512 bytes) with a short lifetime. It uses memory mappings called "arenas" with a fixed size of 256 KiB. It falls back to `PyMem_RawMalloc()` and `PyMem_RawRealloc()` for allocations larger than 512 bytes.

pymalloc is the default allocator of the `PYMEM_DOMAIN_MEM` (ex: `PyMem_Malloc()`) and `PYMEM_DOMAIN_OBJ` (ex: `PyObject_Malloc()`) domains.

The arena allocator uses the following functions:

- `VirtualAlloc()` and `VirtualFree()` on Windows,

- `mmap()` and `munmap()` if available,

- `malloc()` and `free()` otherwise.

### Customize pymalloc Arena Allocator

3.4 版新加入.

`PyObjectArenaAllocator`

  Structure used to describe an arena allocator. The structure has three fields:

  Field | Meaning
  --- | ---
  `void *ctx` | user context passed as first argument
  `void* alloc(void *ctx, size_t size)` | allocate an arena of size bytes
  `void free(void *ctx, size_t size, void *ptr)` | free an arena

`PyObject_GetArenaAllocator`(PyObjectArenaAllocator *allocator)

  Get the arena allocator.

`PyObject_SetArenaAllocator`(PyObjectArenaAllocator *allocator)

  Set the arena allocator.

## tracemalloc C API

3.7 版新加入.

## Examples

Here is the example from section 總覽, rewritten so that the I/O buffer is allocated from the Python heap by using the first function set:

    PyObject *res;
    char *buf = (char *) PyMem_Malloc(BUFSIZ); /* for I/O */

    if (buf == NULL)
        return PyErr_NoMemory();
    /* ...Do some I/O operation involving buf... */
    res = PyBytes_FromString(buf);
    PyMem_Free(buf); /* allocated with PyMem_Malloc */
    return res;

The same code using the type-oriented function set:

    PyObject *res;
    char *buf = PyMem_New(char, BUFSIZ); /* for I/O */

    if (buf == NULL)
        return PyErr_NoMemory();
    /* ...Do some I/O operation involving buf... */
    res = PyBytes_FromString(buf);
    PyMem_Del(buf); /* allocated with PyMem_New */
    return res;

Note that in the two examples above, the buffer is always manipulated via functions belonging to the same set. Indeed, it is required to use the same memory API family for a given memory block, so that the risk of mixing different allocators is reduced to a minimum. The following code sequence contains two errors, one of which is labeled as fatal because it mixes two different allocators operating on different heaps.

    char *buf1 = PyMem_New(char, BUFSIZ);
    char *buf2 = (char *) malloc(BUFSIZ);
    char *buf3 = (char *) PyMem_Malloc(BUFSIZ);
    ...
    PyMem_Del(buf3);  /* Wrong -- should be PyMem_Free() */
    free(buf2);       /* Right -- allocated via malloc() */
    free(buf1);       /* Fatal -- should be PyMem_Del()  */

In addition to the functions aimed at handling raw memory blocks from the Python heap, objects in Python are allocated and released with `PyObject_New()`, `PyObject_NewVar()` and `PyObject_Del()`.

These will be explained in the next chapter on defining and implementing new object types in C.