# Protocole tampon

Certains objets Python enveloppent l'accès à un tableau de mémoire sous-jacente (nommée zone tampon ou simplement tampon, buffer en anglais). Les objets natifs `bytes` et `bytearray` en sont des exemples, ainsi que quelques types d'extension comme `array.array`. Les bibliothèques tierces peuvent définir leurs propres types à des fins spéciales, telles que le traitement d'image ou l'analyse numérique.

Alors que chacun de ces types a sa propre sémantique, ils partagent la caractéristique commune d'être soutenus par un tampon de mémoire important. Il est donc souhaitable, dans certains cas, d'accéder à cette mémoire directement sans l'étape intermédiaire de copie.

Python fournit une telle facilité au niveau du C sous la forme de protocole tampon. Ce protocole comporte deux aspects :

- du côté producteur, un type peut exporter une "interface tampon" qui permet aux objets de ce type d'exposer des informations concernant leur tampon sous-jacent. Cette interface est décrite dans la section Buffer Object Structures ;

- du côté consommateur, plusieurs moyens sont disponibles pour obtenir un pointeur vers les données sous-jacentes brutes d'un objet (par exemple un paramètre de méthode).

Des objets simples tels que `bytes` et `bytearray` exposent leur tampon sous-jacent dans un format orienté octet. D'autres formes sont possibles ; par exemple, les éléments exposés par un `array.array` peuvent être des valeurs multi-octets.

An example consumer of the buffer interface is the `write()` method of file objects: any object that can export a series of bytes through the buffer interface can be written to a file. While `write()` only needs read-only access to the internal contents of the object passed to it, other methods such as `readinto()` need write access to the contents of their argument. The buffer interface allows objects to selectively allow or reject exporting of read-write and read-only buffers.

Un consommateur de l'interface tampon peut acquérir un tampon sur un objet cible de deux manières :

- appelez `PyObject_GetBuffer()` avec les paramètres appropriés ;

- appelez `PyArg_ParseTuple()` (ou l'un de ses fonctions sœurs) avec l'un des `y*`, `w*` ou `s*` format codes.

Dans les deux cas, `PyBuffer_Release()` doit être appelée quand le tampon n'est plus nécessaire. Ne pas le faire peut conduire à divers problèmes tels que des fuites de ressources.

## La structure buffer

Les structures tampons (ou simplement les "tampons", buffers en anglais) sont utiles pour exposer les données binaires d'un autre objet au programmeur Python. Elles peuvent également être utilisées comme un mécanisme de découpage sans copie. En utilisant leur capacité à référencer un bloc de mémoire, il est possible d'exposer toutes les données au programmeur Python assez facilement. La mémoire peut être un grand tableau constant dans une extension C, il peut s'agir d'un bloc brut de mémoire à manipuler avant de passer à une bibliothèque de système d'exploitation ou être utilisé pour transmettre des données structurées dans son format natif en mémoire.

Contrairement à la plupart des types de données exposés par l'interpréteur Python, les tampons ne sont pas de simples pointeurs vers `PyObject` mais plutôt des structures C simples. Cela leur permet d'être créés et copiés très simplement. lorsque vous avez besoin d'une enveloppe générique (wrapper en anglais) pour un tampon, un objet memoryview peut être créé.

For short instructions how to write an exporting object, see Buffer Object Structures. For obtaining a buffer, see `PyObject_GetBuffer()`.

type Py_buffer
  Part of the Stable ABI (including all members) Depuis la version 3.11.
  void *buf

    A pointer to the start of the logical structure described by the buffer fields. This can be any location within the underlying physical memory block of the exporter. For example, with negative `strides` the value may point to the end of the memory block.

    For contiguous arrays, the value points to the beginning of the memory block.

  PyObject *obj

    A new reference to the exporting object. The reference is owned by the consumer and automatically released (i.e. reference count decremented) and set to `NULL` by `PyBuffer_Release()`. The field is the equivalent of the return value of any standard C-API function.

    As a special case, for temporary buffers that are wrapped by `PyMemoryView_FromBuffer()` or `PyBuffer_FillInfo()` this field is `NULL`. In general, exporting objects MUST NOT use this scheme.

  Py_ssize_t len

    `product(shape) * itemsize`. For contiguous arrays, this is the length of the underlying memory block. For non-contiguous arrays, it is the length that the logical structure would have if it were copied to a contiguous representation.

    Accessing `((char *)buf)[0] up to ((char *)buf)[len-1]` is only valid if the buffer has been obtained by a request that guarantees contiguity. In most cases such a request will be `PyBUF_SIMPLE` or `PyBUF_WRITABLE`.

  int readonly

    An indicator of whether the buffer is read-only. This field is controlled by the `PyBUF_WRITABLE` flag.

  Py_ssize_t itemsize

    Item size in bytes of a single element. Same as the value of `struct.calcsize()` called on non-`NULL` `format` values.

    Important exception: If a consumer requests a buffer without the `PyBUF_FORMAT` flag, `format` will be set to `NULL`, but `itemsize` still has the value for the original format.

    If `shape` is present, the equality `product(shape) * itemsize == len` still holds and the consumer can use `itemsize` to navigate the buffer.

    If `shape` is `NULL` as a result of a `PyBUF_SIMPLE` or a `PyBUF_WRITABLE` request, the consumer must disregard `itemsize` and assume `itemsize == 1`.

  char *format

    A NULL terminated string in `struct` module style syntax describing the contents of a single item. If this is `NULL`, `"B"` (unsigned bytes) is assumed.

    This field is controlled by the `PyBUF_FORMAT` flag.

  int ndim

    The number of dimensions the memory represents as an n-dimensional array. If it is `0`, `buf` points to a single item representing a scalar. In this case, `shape`, `strides` and `suboffsets` MUST be `NULL`. The maximum number of dimensions is given by `PyBUF_MAX_NDIM`.

  Py_ssize_t *shape

    An array of `Py_ssize_t` of length `ndim` indicating the shape of the memory as an n-dimensional array. Note that `shape[0] * ... * shape[ndim-1] * itemsize` MUST be equal to `len`.

    Shape values are restricted to `shape[n] >= 0`. The case `shape[n] == 0` requires special attention. See complex arrays for further information.

    The shape array is read-only for the consumer.

  Py_ssize_t *strides

    An array of `Py_ssize_t` of length `ndim` giving the number of bytes to skip to get to a new element in each dimension.

    Stride values can be any integer. For regular arrays, strides are usually positive, but a consumer MUST be able to handle the case `strides[n] <= 0`. See complex arrays for further information.

    The strides array is read-only for the consumer.

  Py_ssize_t *suboffsets

    An array of `Py_ssize_t` of length `ndim`. If `suboffsets[n] >= 0`, the values stored along the nth dimension are pointers and the suboffset value dictates how many bytes to add to each pointer after de-referencing. A suboffset value that is negative indicates that no de-referencing should occur (striding in a contiguous memory block).

    If all suboffsets are negative (i.e. no de-referencing is needed), then this field must be `NULL` (the default value).

    This type of array representation is used by the Python Imaging Library (PIL). See complex arrays for further information how to access elements of such an array.

    The suboffsets array is read-only for the consumer.

  void *internal

    This is for use internally by the exporting object. For example, this might be re-cast as an integer by the exporter and used to store flags about whether or not the shape, strides, and suboffsets arrays must be freed when the buffer is released. The consumer MUST NOT alter this value.

Constants:

PyBUF_MAX_NDIM

  The maximum number of dimensions the memory represents. Exporters MUST respect this limit, consumers of multi-dimensional buffers SHOULD be able to handle up to `PyBUF_MAX_NDIM` dimensions. Currently set to 64.

## Buffer request types

Buffers are usually obtained by sending a buffer request to an exporting object via `PyObject_GetBuffer()`. Since the complexity of the logical structure of the memory can vary drastically, the consumer uses the flags argument to specify the exact buffer type it can handle.

All `Py_buffer` fields are unambiguously defined by the request type.

### request-independent fields

The following fields are not influenced by flags and must always be filled in with the correct values: `obj`, `buf`, `len`, `itemsize`, `ndim`.

### readonly, format

> PyBUF_WRITABLE

>   Controls the `readonly` field. If set, the exporter MUST provide a writable buffer or else report failure. Otherwise, the exporter MAY provide either a read-only or writable buffer, but the choice MUST be consistent for all consumers. For example, PyBUF_SIMPLE | PyBUF_WRITABLE can be used to request a simple writable buffer.

> PyBUF_FORMAT

>   Controls the `format` field. If set, this field MUST be filled in correctly. Otherwise, this field MUST be `NULL`.

`PyBUF_WRITABLE` can be |'d to any of the flags in the next section. Since `PyBUF_SIMPLE` is defined as 0, `PyBUF_WRITABLE` can be used as a stand-alone flag to request a simple writable buffer.

`PyBUF_FORMAT` must be |'d to any of the flags except `PyBUF_SIMPLE`, because the latter already implies format `B` (unsigned bytes). `PyBUF_FORMAT` cannot be used on its own.

### shape, strides, suboffsets

The flags that control the logical structure of the memory are listed in decreasing order of complexity. Note that each flag contains all bits of the flags below it.

Request | shape | strides | suboffsets
--- | --- | --- | ---

PyBUF_INDIRECT

oui

oui

si nécessaire

PyBUF_STRIDES

oui

oui

NULL

PyBUF_ND

oui

NULL

NULL

PyBUF_SIMPLE

NULL

NULL

NULL

### contiguity requests

C or Fortran contiguity can be explicitly requested, with and without stride information. Without stride information, the buffer must be C-contiguous.

Request | shape | strides | suboffsets | contig
--- | --- | --- | --- | ---

PyBUF_C_CONTIGUOUS

oui

oui

NULL

C

PyBUF_F_CONTIGUOUS

oui

oui

NULL

F

PyBUF_ANY_CONTIGUOUS

oui

oui

NULL

C or F

`PyBUF_ND` | oui | NULL | NULL | C

### compound requests

All possible requests are fully defined by some combination of the flags in the previous section. For convenience, the buffer protocol provides frequently used combinations as single flags.

In the following table U stands for undefined contiguity. The consumer would have to call `PyBuffer_IsContiguous()` to determine contiguity.

Request | shape | strides | suboffsets | contig | lecture seule | format
--- | --- | --- | --- | --- | --- | ---

PyBUF_FULL

oui

oui

si nécessaire

U

0

oui

PyBUF_FULL_RO

oui

oui

si nécessaire

U

0 ou 1

oui

PyBUF_RECORDS

oui

oui

NULL

U

0

oui

PyBUF_RECORDS_RO

oui

oui

NULL

U

0 ou 1

oui

PyBUF_STRIDED

oui

oui

NULL

U

0

NULL

PyBUF_STRIDED_RO

oui

oui

NULL

U

0 ou 1

NULL

PyBUF_CONTIG

oui

NULL

NULL

C

0

NULL

PyBUF_CONTIG_RO

oui

NULL

NULL

C

0 ou 1

NULL

## Complex arrays

### NumPy-style: shape and strides

The logical structure of NumPy-style arrays is defined by `itemsize`, `ndim`, `shape` and `strides`.

If `ndim == 0`, the memory location pointed to by `buf` is interpreted as a scalar of size `itemsize`. In that case, both `shape` and `strides` are `NULL`.

If `strides` is `NULL`, the array is interpreted as a standard n-dimensional C-array. Otherwise, the consumer must access an n-dimensional array as follows:

    ptr = (char *)buf + indices[0] * strides[0] + ... + indices[n-1] * strides[n-1];
    item = *((typeof(item) *)ptr);

As noted above, `buf` can point to any location within the actual memory block. An exporter can check the validity of a buffer with this function:

    def verify_structure(memlen, itemsize, ndim, shape, strides, offset):
        """Verify that the parameters represent a valid array within
           the bounds of the allocated memory:
               char *mem: start of the physical memory block
               memlen: length of the physical memory block
               offset: (char *)buf - mem
        """
        if offset % itemsize:
            return False
        if offset < 0 or offset+itemsize > memlen:
            return False
        if any(v % itemsize for v in strides):
            return False

        if ndim <= 0:
            return ndim == 0 and not shape and not strides
        if 0 in shape:
            return True

        imin = sum(strides[j]*(shape[j]-1) for j in range(ndim)
                   if strides[j] <= 0)
        imax = sum(strides[j]*(shape[j]-1) for j in range(ndim)
                   if strides[j] > 0)

        return 0 <= offset+imin and offset+imax+itemsize <= memlen

### PIL-style: shape, strides and suboffsets

In addition to the regular items, PIL-style arrays can contain pointers that must be followed in order to get to the next element in a dimension. For example, the regular three-dimensional C-array `char v[2][2][3]` can also be viewed as an array of 2 pointers to 2 two-dimensional arrays: `char (*v[2])[2][3]`. In suboffsets representation, those two pointers can be embedded at the start of `buf`, pointing to two `char x[2][3]` arrays that can be located anywhere in memory.

Here is a function that returns a pointer to the element in an N-D array pointed to by an N-dimensional index when there are both non-`NULL` strides and suboffsets:

    void *get_item_pointer(int ndim, void *buf, Py_ssize_t *strides,
                           Py_ssize_t *suboffsets, Py_ssize_t *indices) {
        char *pointer = (char*)buf;
        int i;
        for (i = 0; i < ndim; i++) {
            pointer += strides[i] * indices[i];
            if (suboffsets[i] >=0 ) {
                pointer = *((char**)pointer) + suboffsets[i];
            }
        }
        return (void*)pointer;
    }

## Fonctions relatives aux tampons

int PyObject_CheckBuffer( PyObject *obj)
  Part of the Stable ABI Depuis la version 3.11.

  Return `1` if obj supports the buffer interface otherwise `0`. When `1` is returned, it doesn't guarantee that `PyObject_GetBuffer()` will succeed. This function always succeeds.

int PyObject_GetBuffer( PyObject *exporter, Py_buffer *view, int flags)
  Part of the Stable ABI Depuis la version 3.11.

  Send a request to exporter to fill in view as specified by flags. If the exporter cannot provide a buffer of the exact type, it MUST raise `BufferError`, set `view->obj` to `NULL` and return `-1`.

  On success, fill in view, set `view->obj` to a new reference to exporter and return 0. In the case of chained buffer providers that redirect requests to a single object, `view->obj` MAY refer to this object instead of exporter (See Buffer Object Structures).

  Successful calls to `PyObject_GetBuffer()` must be paired with calls to `PyBuffer_Release()`, similar to `malloc()` and `free()`. Thus, after the consumer is done with the buffer, `PyBuffer_Release()` must be called exactly once.

void PyBuffer_Release( Py_buffer *view)
  Part of the Stable ABI Depuis la version 3.11.

  Release the buffer view and release the strong reference (i.e. decrement the reference count) to the view's supporting object, `view->obj`. This function MUST be called when the buffer is no longer being used, otherwise reference leaks may occur.

  It is an error to call this function on a buffer that was not obtained via `PyObject_GetBuffer()`.

Py_ssize_t PyBuffer_SizeFromFormat(const char *format)
  Part of the Stable ABI Depuis la version 3.11.

  Return the implied `itemsize` from `format`. On error, raise an exception and return -1.

  Ajouté dans la version 3.9.

int PyBuffer_IsContiguous(const Py_buffer *view, char order)
  Part of the Stable ABI Depuis la version 3.11.

  Return `1` if the memory defined by the view is C-style (order is `'C'`) or Fortran-style (order is `'F'`) contiguous or either one (order is `'A'`). Return `0` otherwise. This function always succeeds.

void *PyBuffer_GetPointer(const Py_buffer *view, const Py_ssize_t *indices)
  Part of the Stable ABI Depuis la version 3.11.

  Get the memory area pointed to by the indices inside the given view. indices must point to an array of `view->ndim` indices.

int PyBuffer_FromContiguous(const Py_buffer *view, const void *buf, Py_ssize_t len, char fort)
  Part of the Stable ABI Depuis la version 3.11.

  Copy contiguous len bytes from buf to view. fort can be `'C'` or `'F'` (for C-style or Fortran-style ordering). `0` is returned on success, `-1` on error.

int PyBuffer_ToContiguous(void *buf, const Py_buffer *src, Py_ssize_t len, char order)
  Part of the Stable ABI Depuis la version 3.11.

  Copy len bytes from src to its contiguous representation in buf. order can be `'C'` or `'F'` or `'A'` (for C-style or Fortran-style ordering or either one). `0` is returned on success, `-1` on error.

  This function fails if len != src->len.

int PyObject_CopyData( PyObject *dest, PyObject *src)
  Part of the Stable ABI Depuis la version 3.11.

  Copy data from src to dest buffer. Can convert between C-style and or Fortran-style buffers.

  `0` is returned on success, `-1` on error.

void PyBuffer_FillContiguousStrides(int ndims, Py_ssize_t *shape, Py_ssize_t *strides, int itemsize, char order)
  Part of the Stable ABI Depuis la version 3.11.

  Fill the strides array with byte-strides of a contiguous (C-style if order is `'C'` or Fortran-style if order is `'F'`) array of the given shape with the given number of bytes per element.

int PyBuffer_FillInfo( Py_buffer *view, PyObject *exporter, void *buf, Py_ssize_t len, int readonly, int flags)
  Part of the Stable ABI Depuis la version 3.11.

  Handle buffer requests for an exporter that wants to expose buf of size len with writability set according to readonly. buf is interpreted as a sequence of unsigned bytes.

  The flags argument indicates the request type. This function always fills in view as specified by flags, unless buf has been designated as read-only and `PyBUF_WRITABLE` is set in flags.

  On success, set `view->obj` to a new reference to exporter and return 0. Otherwise, raise `BufferError`, set `view->obj` to `NULL` and return `-1`;

  If this function is used as part of a getbufferproc, exporter MUST be set to the exporting object and flags must be passed unmodified. Otherwise, exporter MUST be `NULL`.