Zarządzanie Pamięcią
********************


Skorowidz
=========

Zarządzanie pamięcią w Pythonie zakłada prywatną stertę zawierającą
wszystkie obiekty i struktury danych Pythona. Zarządzanie tą prywatną
stertą jest zapewniane wewnętrznie przez *zarządcę pamięci Pythona*.
Zarządca pamięci Pythona ma różne komponenty które radzą sobie z
różnymi aspektami dynamicznego przechowywania, jak współdzielenie,
segmentacja, alokacja wstępna i kieszeniowanie.

Na najniższym poziomie, przedmiot przydzielający pamięć "na-surowo"
zapewnia że będzie dość pamięci na prywatnej stercie dla przechowania
wszystkich związanych-z-językiem-pytonowskim danych przez
współdziałanie z zarządcą pamięci systemu operacyjnego. Ponad zarządcą
surowej pamięci, kilka szczególnych dla danych typów przedmiotów
zarządców operuje na tej samej stercie i wypełnia szczególne zasady
zarządzania pamięcią dostosowane do szczególnych własności każdego
rodzaju przedmiotu. Dla przykładu przedmioty liczb całkowitych są
zarządzane inaczej wewnątrz sterty niż ciągi znaków, krotki czy
słowniki gdyż liczby całkowite zakładają inne wymagania przechowywania
i wady i zalety prędkości/zajętej przestrzeni. Zarządca pamięcią
Pythona zatem odprawia pewną ilość nakładów pracy dla szczególnych dla
przedmiotów różnych typów zarządców, ale zapewnia że te drugie będą
operować wewnątrz ograniczeń prywatnej sterty.

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 bytes 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.

Zobacz także:

  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.


Allocator Domains
=================

All allocating functions belong to one of three different "domains"
(see also "PyMemAllocatorDomain"). These domains represent different
allocation strategies and are optimized for different purposes. The
specific details on how every domain allocates memory or what internal
functions each domain calls is considered an implementation detail,
but for debugging purposes a simplified table can be found at here.
The APIs used to allocate and free a block of memory must be from the
same domain. For example, "PyMem_Free()" must be used to free memory
allocated using "PyMem_Malloc()".

The three allocation domains are:

* Raw domain: intended for allocating memory for general-purpose
  memory buffers where the allocation *must* go to the system
  allocator or where the allocator can operate without an *attached
  thread state*. The memory is requested directly from the system. See
  Raw Memory Interface.

* "Mem" domain: intended for allocating memory for Python buffers and
  general-purpose memory buffers where the allocation must be
  performed with an *attached thread state*. The memory is taken from
  the Python private heap. See Memory Interface.

* Object domain: intended for allocating memory for Python objects.
  The memory is taken from the Python private heap. See Object
  allocators.

Informacja:

  The *free-threaded* build requires that only Python objects are
  allocated using the "object" domain and that all Python objects are
  allocated using that domain. This differs from the prior Python
  versions, where this was only a best practice and not a hard
  requirement.For example, buffers (non-Python objects) should be
  allocated using "PyMem_Malloc()", "PyMem_RawMalloc()", or
  "malloc()", but not "PyObject_Malloc()".See Memory Allocation APIs.


Raw Memory Interface
====================

The following function sets are wrappers to the system allocator.
These functions are thread-safe, so a *thread state* does not need to
be *attached*.

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.

 Dodane w wersji 3.4.

void *PyMem_RawMalloc(size_t n)
    * Część stabilnego ABI od wersji 3.13.*

   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)
    * Część stabilnego ABI od wersji 3.13.*

   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.

    Dodane w wersji 3.5.

void *PyMem_RawRealloc(void *p, size_t n)
    * Część stabilnego ABI od wersji 3.13.*

   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)
    * Część stabilnego ABI od wersji 3.13.*

   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.


Sprzęg Pamięci
==============

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.

Ostrzeżenie:

  There must be an *attached thread state* when using these functions.

Zmienione w wersji 3.6: The default allocator is now pymalloc instead
of system "malloc()".

void *PyMem_Malloc(size_t n)
    * Część stabilnego ABI.*

   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)
    * Część stabilnego ABI od wersji 3.7.*

   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.

    Dodane w wersji 3.5.

void *PyMem_Realloc(void *p, size_t n)
    * Część stabilnego ABI.*

   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)
    * Część stabilnego ABI.*

   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.

Następujące makropolecenia zorientowane-według-typu dostarczone są dla
wygody. Zauważ że *TYP* odnosi się do dowolnego typu C.

PyMem_New(TYPE, 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.

PyMem_Resize(p, TYPE, 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()".

Dodać należy, że następujący zbiór makropoleceń dostarczony jest aby
odwoływać się do programu przydzielającego pamięć w języku pytonowskim
bezpośrednio, bez udziału zadań sprzęgu C wymienionych powyżej.
Jednakże, zauważ, że ich użycie nie zachowuje wzajemnej zgodności
binarnej pomiędzy wersjami Pythona i z tego też powodu ich użycie jest
niewskazane w modułach rozszerzających.

* "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.

Informacja:

  There is no guarantee that the memory returned by these allocators
  can be successfully cast to a Python object when intercepting the
  allocating functions in this domain by the methods described in the
  Customize Memory Allocators section.

The default object allocator uses the pymalloc memory allocator.

Ostrzeżenie:

  There must be an *attached thread state* when using these functions.

void *PyObject_Malloc(size_t n)
    * Część stabilnego ABI.*

   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)
    * Część stabilnego ABI od wersji 3.7.*

   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.

    Dodane w wersji 3.5.

void *PyObject_Realloc(void *p, size_t n)
    * Część stabilnego ABI.*

   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)
    * Część stabilnego ABI.*

   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.

   Do not call this directly to free an object's memory; call the
   type's "tp_free" slot instead.

   Do not use this for memory allocated by "PyObject_GC_New" or
   "PyObject_GC_NewVar"; use "PyObject_GC_Del()" instead.

   Zobacz także:

     * "PyObject_GC_Del()" is the equivalent of this function for
       memory allocated by types that support garbage collection.

     * "PyObject_Malloc()"

     * "PyObject_Realloc()"

     * "PyObject_Calloc()"

     * "PyObject_New"

     * "PyObject_NewVar"

     * "PyType_GenericAlloc()"

     * "tp_free"


Default Memory Allocators
=========================

Default memory allocators:

+---------------------------------+----------------------+--------------------+-----------------------+----------------------+
| Konfiguracja                    | Nazwa                | 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     |
+---------------------------------+----------------------+--------------------+-----------------------+----------------------+

Legenda:

* 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.

* "mimalloc": mimalloc memory allocator.  The pymalloc allocator will
  be used if mimalloc support isn't available.

* "+ debug": with debug hooks on the Python memory allocators.

* "Debug build": Python build in debug mode.


Customize Memory Allocators
===========================

 Dodane w wersji 3.4.

type PyMemAllocatorEx

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

   +------------------------------------------------------------+-----------------------------------------+
   | Pole                                                       | Znaczenie                               |
   |============================================================|=========================================|
   | "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                     |
   +------------------------------------------------------------+-----------------------------------------+

   Zmienione w wersji 3.5: The "PyMemAllocator" structure was renamed
   to "PyMemAllocatorEx" and a new "calloc" field was added.

type PyMemAllocatorDomain

   Enum used to identify an allocator domain. Domains:

   PYMEM_DOMAIN_RAW

      Funkcje:

      * "PyMem_RawMalloc()"

      * "PyMem_RawRealloc()"

      * "PyMem_RawCalloc()"

      * "PyMem_RawFree()"

   PYMEM_DOMAIN_MEM

      Funkcje:

      * "PyMem_Malloc()",

      * "PyMem_Realloc()"

      * "PyMem_Calloc()"

      * "PyMem_Free()"

   PYMEM_DOMAIN_OBJ

      Funkcje:

      * "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: a *thread state* is not *attached* when the allocator is
   called.

   For the remaining domains, the allocator must also be thread-safe:
   the allocator may be called in different interpreters that do not
   share a *GIL*.

   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.

   See also "PyPreConfig.allocator" and Preinitialize Python with
   PyPreConfig.

   Ostrzeżenie:

     "PyMem_SetAllocator()" does have the following contract:

     * It can be called after "Py_PreInitialize()" and before
       "Py_InitializeFromConfig()" to install a custom memory
       allocator. There are no restrictions over the installed
       allocator other than the ones imposed by the domain (for
       instance, the Raw Domain allows the allocator to be called
       without an *attached thread state*). See the section on
       allocator domains for more information.

     * If called after Python has finish initializing (after
       "Py_InitializeFromConfig()" has been called) the allocator
       **must** wrap the existing allocator. Substituting the current
       allocator for some other arbitrary one is **not supported**.

   Zmienione w wersji 3.12: All allocators must be thread-safe.

void PyMem_SetupDebugHooks(void)

   Setup debug hooks in the Python memory allocators to detect memory
   errors.


Debug hooks on the Python memory allocators
===========================================

When Python is built in debug mode, the "PyMem_SetupDebugHooks()"
function is called at the Python preinitialization to setup debug
hooks on Python memory allocators to detect memory errors.

The "PYTHONMALLOC" environment variable can be used to install debug
hooks on a Python compiled in release mode (ex: "PYTHONMALLOC=debug").

The "PyMem_SetupDebugHooks()" function can be used to set debug hooks
after calling "PyMem_SetAllocator()".

These debug hooks fill dynamically allocated memory blocks with
special, recognizable bit patterns. Newly allocated memory is filled
with the byte "0xCD" ("PYMEM_CLEANBYTE"), freed memory is filled with
the byte "0xDD" ("PYMEM_DEADBYTE"). Memory blocks are surrounded by
"forbidden bytes" filled with the byte "0xFD" ("PYMEM_FORBIDDENBYTE").
Strings of these bytes are unlikely to be valid addresses, floats, or
ASCII strings.

Runtime checks:

* Detect API violations. For example, detect if "PyObject_Free()" is
  called on a memory block 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 there is an *attached thread state* 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.

Let *S* = "sizeof(size_t)". "2*S" bytes are added at each end of each
block of *N* bytes requested.  The memory layout is like so, where p
represents the address returned by a malloc-like or realloc-like
function ("p[i:j]" means the slice of bytes from "*(p+i)" inclusive up
to "*(p+j)" exclusive; note that the treatment of negative indices
differs from a Python slice):

"p[-2*S:-S]"
   Number of bytes originally asked for.  This is a size_t, big-endian
   (easier to read in a memory dump).

"p[-S]"
   API identifier (ASCII character):

   * "'r'" for "PYMEM_DOMAIN_RAW".

   * "'m'" for "PYMEM_DOMAIN_MEM".

   * "'o'" for "PYMEM_DOMAIN_OBJ".

"p[-S+1:0]"
   Copies of PYMEM_FORBIDDENBYTE.  Used to catch under- writes and
   reads.

"p[0:N]"
   The requested memory, filled with copies of PYMEM_CLEANBYTE, used
   to catch reference to uninitialized memory.  When a realloc-like
   function is called requesting a larger memory block, the new excess
   bytes are also filled with PYMEM_CLEANBYTE.  When a free-like
   function is called, these are overwritten with PYMEM_DEADBYTE, to
   catch reference to freed memory.  When a realloc- like function is
   called requesting a smaller memory block, the excess old bytes are
   also filled with PYMEM_DEADBYTE.

"p[N:N+S]"
   Copies of PYMEM_FORBIDDENBYTE.  Used to catch over- writes and
   reads.

"p[N+S:N+2*S]"
   Only used if the "PYMEM_DEBUG_SERIALNO" macro is defined (not
   defined by default).

   A serial number, incremented by 1 on each call to a malloc-like or
   realloc-like function.  Big-endian "size_t".  If "bad memory" is
   detected later, the serial number gives an excellent way to set a
   breakpoint on the next run, to capture the instant at which this
   block was passed out.  The static function bumpserialno() in
   obmalloc.c is the only place the serial number is incremented, and
   exists so you can set such a breakpoint easily.

A realloc-like or free-like function first checks that the
PYMEM_FORBIDDENBYTE bytes at each end are intact.  If they've been
altered, diagnostic output is written to stderr, and the program is
aborted via Py_FatalError().  The other main failure mode is provoking
a memory error when a program reads up one of the special bit patterns
and tries to use it as an address.  If you get in a debugger then and
look at the object, you're likely to see that it's entirely filled
with PYMEM_DEADBYTE (meaning freed memory is getting used) or
PYMEM_CLEANBYTE (meaning uninitialized memory is getting used).

Zmienione w wersji 3.6: The "PyMem_SetupDebugHooks()" 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 there is an *attached
thread state* when functions of "PYMEM_DOMAIN_OBJ" and
"PYMEM_DOMAIN_MEM" domains are called.

Zmienione w wersji 3.8: Byte patterns "0xCB" ("PYMEM_CLEANBYTE"),
"0xDB" ("PYMEM_DEADBYTE") and "0xFB" ("PYMEM_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 either 256 KiB on 32-bit
platforms or 1 MiB on 64-bit platforms. 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.

This allocator is disabled if Python is configured with the "--
without-pymalloc" option. It can also be disabled at runtime using the
"PYTHONMALLOC" environment variable (ex: "PYTHONMALLOC=malloc").

Typically, it makes sense to disable the pymalloc allocator when
building Python with AddressSanitizer ("--with-address-sanitizer")
which helps uncover low level bugs within the C code.


Customize pymalloc Arena Allocator
----------------------------------

 Dodane w wersji 3.4.

type PyObjectArenaAllocator

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

   +----------------------------------------------------+-----------------------------------------+
   | Pole                                               | Znaczenie                               |
   |====================================================|=========================================|
   | "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, void *ptr, size_t size)"     | free an arena                           |
   +----------------------------------------------------+-----------------------------------------+

void PyObject_GetArenaAllocator(PyObjectArenaAllocator *allocator)

   Get the arena allocator.

void PyObject_SetArenaAllocator(PyObjectArenaAllocator *allocator)

   Set the arena allocator.


The mimalloc allocator
======================

 Dodane w wersji 3.13.

Python supports the mimalloc allocator when the underlying platform
support is available. mimalloc "is a general purpose allocator with
excellent performance characteristics. Initially developed by Daan
Leijen for the runtime systems of the Koka and Lean languages."


tracemalloc C API
=================

 Dodane w wersji 3.7.

int PyTraceMalloc_Track(unsigned int domain, uintptr_t ptr, size_t size)

   Track an allocated memory block in the "tracemalloc" module.

   Return "0" on success, return "-1" on error (failed to allocate
   memory to store the trace). Return "-2" if tracemalloc is disabled.

   If memory block is already tracked, update the existing trace.

int PyTraceMalloc_Untrack(unsigned int domain, uintptr_t ptr)

   Untrack an allocated memory block in the "tracemalloc" module. Do
   nothing if the block was not tracked.

   Return "-2" if tracemalloc is disabled, otherwise return "0".


Przykłady
=========

Tutaj jest przykład z sekcji "przeglądu pamięci" - z ang. - Skorowidz,
przepisane, tak aby przestrzeń wejścia/wyjścia była przydzielona ze
sterty Pythona używając pierwszego zestawu zadań:

   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;

ten sam kod przy użyciu zorientowanych na typ zbiorów zadań:

   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_Free(buf); /* allocated with PyMem_New */
   return res;

Zauważ, że w dwóch powyższych przykładach, przestrzeń wymiany jest
zawsze zmieniana przez zadania należące do tego samego zbioru.
Właściwie, jest wymagane użycie tej samej rodziny sprzęgów zarządzania
pamięcią (z ang. - memory API) dla danego obszaru pamięci, tak, że
ryzyko pomieszania różnych programów lokujących zmniejszone jest do
minimum. Następująca sekwencja zawiera dwa błędy, jeden z których
określony jest jako *krytyczny* ponieważ miesza dwa różne programy
lokujące pamięć działające na różnych stertach.

   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_Free()  */

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_Free()".

Te zostaną wyjaśnione w następnym rozdziale o określaniu i
realizowaniu nowych typów obiektów w języku C.
