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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 provides such a facility at the C and Python level in the form of the
buffer protocol. This protocol has two sides:
on the producer side, a type can export a "buffer interface" which allows
objects of that type to expose information about their underlying buffer.
This interface is described in the section Buffer Object Structures; for
Python see Emulating buffer types.
on the consumer side, several means are available to obtain a pointer to
the raw underlying data of an object (for example a method parameter). For
Python see memoryview.
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 :
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¶
- Fait partie de l' ABI stable (incluant tous les attributs) 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¶
- Fait partie de l' ABI stable depuis la version 3.11.
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¶
- Fait partie de l' ABI stable depuis la version 3.11.
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_WRITEABLE¶
This is an alias to PyBUF_WRITABLE.
-
PyBUF_FORMAT¶
- Fait partie de l' ABI stable depuis la version 3.11.
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.
These values are available when compiling for the
Stable ABI since version 3.11.
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.
These values are available when compiling for the
Stable ABI since version 3.11.
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.
These values are available when compiling for the
Stable ABI since version 3.11.
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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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 order)¶
- Fait partie de l' ABI stable depuis la version 3.11.
Copy contiguous len bytes from buf to view.
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.
-
int PyBuffer_ToContiguous(void *buf, const Py_buffer *src, Py_ssize_t len, char order)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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)¶
- Fait partie de l' ABI stable 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.
© Copyright 2001 Python Software Foundation.
La licence de cette page est la Python Software Foundation License Version 2.
La licence des exemples, recettes, et autres morceaux de code se trouvant dans la documentation est la Zero Clause BSD License.
Pour plus d'informations, consultez Histoire et licence.
La Python Software Foundation est une association à but non lucratif.
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Dernière mise à jour : nov. 12, 2026 (05:04 UTC).
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