Buffer Protocol

Certain objects available in Python wrap access to an underlying memory array orbuffer.Such objects include the built-inbytesand bytearray,and some extension types likearray.array. Third-party libraries may define their own types for special purposes, such as image processing or numeric analysis.

While each of these types have their own semantics, they share the common characteristic of being backed by a possibly large memory buffer. It is then desirable, in some situations, to access that buffer directly and without intermediate copying.

Python provides such a facility at the C level in the form of thebuffer 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 sectionBuffer Object Structures;

  • 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).

Simple objects such asbytesandbytearrayexpose their underlying buffer in byte-oriented form. Other forms are possible; for example, the elements exposed by anarray.arraycan be multi-byte values.

An example consumer of the buffer interface is thewrite() method of file objects: any object that can export a series of bytes through the buffer interface can be written to a file. Whilewrite()only needs read-only access to the internal contents of the object passed to it, other methods such asreadinto()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.

There are two ways for a consumer of the buffer interface to acquire a buffer over a target object:

In both cases,PyBuffer_Release()must be called when the buffer isn’t needed anymore. Failure to do so could lead to various issues such as resource leaks.

Buffer structure

Buffer structures (or simply “buffers” ) are useful as a way to expose the binary data from another object to the Python programmer. They can also be used as a zero-copy slicing mechanism. Using their ability to reference a block of memory, it is possible to expose any data to the Python programmer quite easily. The memory could be a large, constant array in a C extension, it could be a raw block of memory for manipulation before passing to an operating system library, or it could be used to pass around structured data in its native, in-memory format.

Contrary to most data types exposed by the Python interpreter, buffers are notPyObjectpointers but rather simple C structures. This allows them to be created and copied very simply. When a generic wrapper around a buffer is needed, amemoryviewobject can be created.

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

typePy_buffer
Part of theStable ABI(including all members) since 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 negativestrides the value may point to the end of the memory block.

Forcontiguousarrays, 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 toNULLby PyBuffer_Release().The field is the equivalent of the return value of any standard C-API function.

As a special case, fortemporarybuffers that are wrapped by PyMemoryView_FromBuffer()orPyBuffer_FillInfo() this field isNULL.In general, exporting objects MUST NOT use this scheme.

Py_ssize_tlen

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]upto((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 bePyBUF_SIMPLEorPyBUF_WRITABLE.

intreadonly

An indicator of whether the buffer is read-only. This field is controlled by thePyBUF_WRITABLEflag.

Py_ssize_titemsize

Item size in bytes of a single element. Same as the value ofstruct.calcsize() called on non-NULLformatvalues.

Important exception: If a consumer requests a buffer without the PyBUF_FORMATflag,formatwill be set toNULL,butitemsizestill has the value for the original format.

Ifshapeis present, the equality product(shape)*itemsize==lenstill holds and the consumer can useitemsizeto navigate the buffer.

IfshapeisNULLas a result of aPyBUF_SIMPLE or aPyBUF_WRITABLErequest, the consumer must disregard itemsizeand assumeitemsize==1.

char*format

ANULLterminated string instructmodule style syntax describing the contents of a single item. If this isNULL,"B"(unsigned bytes) is assumed.

This field is controlled by thePyBUF_FORMATflag.

intndim

The number of dimensions the memory represents as an n-dimensional array. If it is0,bufpoints to a single item representing a scalar. In this case,shape,strides andsuboffsetsMUST beNULL. The maximum number of dimensions is given byPyBUF_MAX_NDIM.

Py_ssize_t*shape

An array ofPy_ssize_tof lengthndim indicating the shape of the memory as an n-dimensional array. Note that shape[0]*...*shape[ndim-1]*itemsizeMUST be equal to len.

Shape values are restricted toshape[n]>=0.The case shape[n]==0requires special attention. Seecomplex arrays for further information.

The shape array is read-only for the consumer.

Py_ssize_t*strides

An array ofPy_ssize_tof lengthndim 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.Seecomplex arraysfor further information.

The strides array is read-only for the consumer.

Py_ssize_t*suboffsets

An array ofPy_ssize_tof lengthndim. Ifsuboffsets[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 beNULL(the default value).

This type of array representation is used by the Python Imaging Library (PIL). Seecomplex arraysfor 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 toPyBUF_MAX_NDIMdimensions. Currently set to 64.

Buffer request types

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

AllPy_bufferfields are unambiguously defined by the request type.

request-independent fields

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

readonly, format

PyBUF_WRITABLE

Controls thereadonlyfield. 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.

PyBUF_FORMAT

Controls theformatfield. If set, this field MUST be filled in correctly. Otherwise, this field MUST beNULL.

PyBUF_WRITABLEcan be |’d to any of the flags in the next section. SincePyBUF_SIMPLEis defined as 0,PyBUF_WRITABLE can be used as a stand-alone flag to request a simple writable buffer.

PyBUF_FORMATcan be |’d to any of the flags exceptPyBUF_SIMPLE. The latter already implies formatB(unsigned bytes).

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

yes

yes

if needed

PyBUF_STRIDES

yes

yes

NULL

PyBUF_ND

yes

NULL

NULL

PyBUF_SIMPLE

NULL

NULL

NULL

contiguity requests

C or Fortrancontiguitycan 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

yes

yes

NULL

C

PyBUF_F_CONTIGUOUS

yes

yes

NULL

F

PyBUF_ANY_CONTIGUOUS

yes

yes

NULL

C or F

PyBUF_ND

yes

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 tableUstands for undefined contiguity. The consumer would have to callPyBuffer_IsContiguous()to determine contiguity.

Request

shape

strides

suboffsets

contig

readonly

format

PyBUF_FULL

yes

yes

if needed

U

0

yes

PyBUF_FULL_RO

yes

yes

if needed

U

1 or 0

yes

PyBUF_RECORDS

yes

yes

NULL

U

0

yes

PyBUF_RECORDS_RO

yes

yes

NULL

U

1 or 0

yes

PyBUF_STRIDED

yes

yes

NULL

U

0

NULL

PyBUF_STRIDED_RO

yes

yes

NULL

U

1 or 0

NULL

PyBUF_CONTIG

yes

NULL

NULL

C

0

NULL

PyBUF_CONTIG_RO

yes

NULL

NULL

C

1 or 0

NULL

Complex arrays

NumPy-style: shape and strides

The logical structure of NumPy-style arrays is defined byitemsize, ndim,shapeandstrides.

Ifndim==0,the memory location pointed to bybufis interpreted as a scalar of sizeitemsize.In that case, bothshapeandstridesareNULL.

IfstridesisNULL,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,bufcan point to any location within the actual memory block. An exporter can check the validity of a buffer with this function:

defverify_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
"""
ifoffset%itemsize:
returnFalse
ifoffset<0oroffset+itemsize>memlen:
returnFalse
ifany(v%itemsizeforvinstrides):
returnFalse

ifndim<=0:
returnndim==0andnotshapeandnotstrides
if0inshape:
returnTrue

imin=sum(strides[j]*(shape[j]-1)forjinrange(ndim)
ifstrides[j]<=0)
imax=sum(strides[j]*(shape[j]-1)forjinrange(ndim)
ifstrides[j]>0)

return0<=offset+iminandoffset+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-arraycharv[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 ofbuf,pointing to twocharx[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-NULLstrides and suboffsets:

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