Buffer Objects

Python objects implemented in C can export a group of functions called the “buffer interface.” These functions can be used by an object to expose its data in a raw, byte-oriented format. Clients of the object can use the buffer interface to access the object data directly, without needing to copy it first.

Two examples of objects that support the buffer interface are strings and arrays. The string object exposes the character contents in the buffer interface’s byte-oriented form. An array can also expose its contents, but it should be noted that array elements may be multi-byte values.

An example user of the buffer interface is the file object’s write() method. Any object that can export a series of bytes through the buffer interface can be written to a file. There are a number of format codes to PyArg_ParseTuple() that operate against an object’s buffer interface, returning data from the target object.

Starting from version 1.6, Python has been providing Python-level buffer objects and a C-level buffer API so that any built-in or used-defined type can expose its characteristics. Both, however, have been deprecated because of various shortcomings, and have been officially removed in Python 3.0 in favour of a new C-level buffer API and a new Python-level object named memoryview.

The new buffer API has been backported to Python 2.6, and the memoryview object has been backported to Python 2.7. It is strongly advised to use them rather than the old APIs, unless you are blocked from doing so for compatibility reasons.

The new-style Py_buffer struct

Py_buffer

void *buf

A pointer to the start of the memory for the object.

Py_ssize_t len

The total length of the memory in bytes.

int readonly

An indicator of whether the buffer is read only.

const char *format

A NULL terminated string in struct module style syntax giving the contents of the elements available through the buffer. If this is NULL, "B" (unsigned bytes) is assumed.

int ndim

The number of dimensions the memory represents as a multi-dimensional array. If it is 0, strides and suboffsets must be NULL.

Py_ssize_t *shape

An array of Py_ssize_ts the length of ndim giving the shape of the memory as a multi-dimensional array. Note that ((*shape)[0] * ... * (*shape)[ndims-1])*itemsize should be equal to len.

Py_ssize_t *strides

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

Py_ssize_t *suboffsets

An array of Py_ssize_ts the length of ndim. If these suboffset numbers are greater than or equal to 0, then the value stored along the indicated dimension is a pointer and the suboffset value dictates how many bytes to add to the pointer after de-referencing. A suboffset value that it negative indicates that no de-referencing should occur (striding in a contiguous memory block).

Here is a function that returns a pointer to the element in an N-D array pointed to by an N-dimesional 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;
 }

Py_ssize_t itemsize

This is a storage for the itemsize (in bytes) of each element of the shared memory. It is technically un-necessary as it can be obtained using PyBuffer_SizeFromFormat(), however an exporter may know this information without parsing the format string and it is necessary to know the itemsize for proper interpretation of striding. Therefore, storing it is more convenient and faster.

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 should never alter this value.

Buffer related functions

int PyObject_CheckBuffer(PyObject *obj)

Return 1 if obj supports the buffer interface otherwise 0.

int PyObject_GetBuffer(PyObject *obj, Py_buffer *view, int flags)

Export obj into a Py_buffer, view. These arguments must never be NULL. The flags argument is a bit field indicating what kind of buffer the caller is prepared to deal with and therefore what kind of buffer the exporter is allowed to return. The buffer interface allows for complicated memory sharing possibilities, but some caller may not be able to handle all the complexity but may want to see if the exporter will let them take a simpler view to its memory.

Some exporters may not be able to share memory in every possible way and may need to raise errors to signal to some consumers that something is just not possible. These errors should be a BufferError unless there is another error that is actually causing the problem. The exporter can use flags information to simplify how much of the Py_buffer structure is filled in with non-default values and/or raise an error if the object can’t support a simpler view of its memory.

0 is returned on success and -1 on error.

The following table gives possible values to the flags arguments.

Flag	Description
PyBUF_SIMPLE	This is the default flag state. The returned buffer may or may not have writable memory. The format of the data will be assumed to be unsigned bytes. This is a “stand-alone” flag constant. It never needs to be ‘|’d to the others. The exporter will raise an error if it cannot provide such a contiguous buffer of bytes.
PyBUF_WRITABLE	The returned buffer must be writable. If it is not writable, then raise an error.
PyBUF_STRIDES	This implies PyBUF_ND. The returned buffer must provide strides information (i.e. the strides cannot be NULL). This would be used when the consumer can handle strided, discontiguous arrays. Handling strides automatically assumes you can handle shape. The exporter can raise an error if a strided representation of the data is not possible (i.e. without the suboffsets).
PyBUF_ND	The returned buffer must provide shape information. The memory will be assumed C-style contiguous (last dimension varies the fastest). The exporter may raise an error if it cannot provide this kind of contiguous buffer. If this is not given then shape will be NULL.
PyBUF_C_CONTIGUOUS PyBUF_F_CONTIGUOUS PyBUF_ANY_CONTIGUOUS	These flags indicate that the contiguity returned buffer must be respectively, C-contiguous (last dimension varies the fastest), Fortran contiguous (first dimension varies the fastest) or either one. All of these flags imply PyBUF_STRIDES and guarantee that the strides buffer info structure will be filled in correctly.
PyBUF_INDIRECT	This flag indicates the returned buffer must have suboffsets information (which can be NULL if no suboffsets are needed). This can be used when the consumer can handle indirect array referencing implied by these suboffsets. This implies PyBUF_STRIDES.
PyBUF_FORMAT	The returned buffer must have true format information if this flag is provided. This would be used when the consumer is going to be checking for what ‘kind’ of data is actually stored. An exporter should always be able to provide this information if requested. If format is not explicitly requested then the format must be returned as NULL (which means 'B', or unsigned bytes)
PyBUF_STRIDED	This is equivalent to (PyBUF_STRIDES | PyBUF_WRITABLE).
PyBUF_STRIDED_RO	This is equivalent to (PyBUF_STRIDES).
PyBUF_RECORDS	This is equivalent to (PyBUF_STRIDES | PyBUF_FORMAT | PyBUF_WRITABLE).
PyBUF_RECORDS_RO	This is equivalent to (PyBUF_STRIDES | PyBUF_FORMAT).
PyBUF_FULL	This is equivalent to (PyBUF_INDIRECT | PyBUF_FORMAT | PyBUF_WRITABLE).
PyBUF_FULL_RO	This is equivalent to (PyBUF_INDIRECT | PyBUF_FORMAT).
PyBUF_CONTIG	This is equivalent to (PyBUF_ND | PyBUF_WRITABLE).
PyBUF_CONTIG_RO	This is equivalent to (PyBUF_ND).

void PyBuffer_Release(Py_buffer *view)

Release the buffer view. This should be called when the buffer is no longer being used as it may free memory from it.

Py_ssize_t PyBuffer_SizeFromFormat(const char *)

Return the implied ~Py_buffer.itemsize from the struct-stype ~Py_buffer.format.

int PyObject_CopyToObject(PyObject *obj, void *buf, Py_ssize_t len, char fortran)

Copy len bytes of data pointed to by the contiguous chunk of memory pointed to by buf into the buffer exported by obj. The buffer must of course be writable. Return 0 on success and return -1 and raise an error on failure. If the object does not have a writable buffer, then an error is raised. If fortran is 'F', then if the object is multi-dimensional, then the data will be copied into the array in Fortran-style (first dimension varies the fastest). If fortran is 'C', then the data will be copied into the array in C-style (last dimension varies the fastest). If fortran is 'A', then it does not matter and the copy will be made in whatever way is more efficient.

int PyBuffer_IsContiguous(Py_buffer *view, char fortran)

Return 1 if the memory defined by the view is C-style (fortran is 'C') or Fortran-style (fortran is 'F') contiguous or either one (fortran is 'A'). Return 0 otherwise.

void PyBuffer_FillContiguousStrides(int ndim, Py_ssize_t *shape, Py_ssize_t *strides, Py_ssize_t itemsize, char fortran)

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

int PyBuffer_FillInfo(Py_buffer *view, void *buf, Py_ssize_t len, int readonly, int infoflags)

Fill in a buffer-info structure, view, correctly for an exporter that can only share a contiguous chunk of memory of “unsigned bytes” of the given length. Return 0 on success and -1 (with raising an error) on error.

Old-style buffer objects

More information on the buffer interface is provided in the section Buffer Object Structures, under the description for PyBufferProcs.

A “buffer object” is defined in the bufferobject.h header (included by Python.h). These objects look very similar to string objects at the Python programming level: they support slicing, indexing, concatenation, and some other standard string operations. However, their data can come from one of two sources: from a block of memory, or from another object which exports the buffer interface.

Buffer objects are useful as a way to expose the data from another object’s buffer interface 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.

PyBufferObject

This subtype of PyObject represents a buffer object.

PyTypeObject PyBuffer_Type

The instance of PyTypeObject which represents the Python buffer type; it is the same object as buffer and types.BufferType in the Python layer. .

int Py_END_OF_BUFFER

This constant may be passed as the size parameter to PyBuffer_FromObject() or PyBuffer_FromReadWriteObject(). It indicates that the new PyBufferObject should refer to base object from the specified offset to the end of its exported buffer. Using this enables the caller to avoid querying the base object for its length.

int PyBuffer_Check(PyObject *p)

Return true if the argument has type PyBuffer_Type.

PyObject* PyBuffer_FromObject(PyObject *base, Py_ssize_t offset, Py_ssize_t size)

Return value: New reference.

Return a new read-only buffer object. This raises TypeError if base doesn’t support the read-only buffer protocol or doesn’t provide exactly one buffer segment, or it raises ValueError if offset is less than zero. The buffer will hold a reference to the base object, and the buffer’s contents will refer to the base object’s buffer interface, starting as position offset and extending for size bytes. If size is Py_END_OF_BUFFER, then the new buffer’s contents extend to the length of the base object’s exported buffer data.

Changed in version 2.5: This function used an int type for offset and size. This might require changes in your code for properly supporting 64-bit systems.

PyObject* PyBuffer_FromReadWriteObject(PyObject *base, Py_ssize_t offset, Py_ssize_t size)

Return value: New reference.

Return a new writable buffer object. Parameters and exceptions are similar to those for PyBuffer_FromObject(). If the base object does not export the writeable buffer protocol, then TypeError is raised.

Changed in version 2.5: This function used an int type for offset and size. This might require changes in your code for properly supporting 64-bit systems.

PyObject* PyBuffer_FromMemory(void *ptr, Py_ssize_t size)

Return value: New reference.

Return a new read-only buffer object that reads from a specified location in memory, with a specified size. The caller is responsible for ensuring that the memory buffer, passed in as ptr, is not deallocated while the returned buffer object exists. Raises ValueError if size is less than zero. Note that Py_END_OF_BUFFER may not be passed for the size parameter; ValueError will be raised in that case.

Changed in version 2.5: This function used an int type for size. This might require changes in your code for properly supporting 64-bit systems.

PyObject* PyBuffer_FromReadWriteMemory(void *ptr, Py_ssize_t size)

Return value: New reference.

Similar to PyBuffer_FromMemory(), but the returned buffer is writable.

Changed in version 2.5: This function used an int type for size. This might require changes in your code for properly supporting 64-bit systems.

PyObject* PyBuffer_New(Py_ssize_t size)

Return value: New reference.

Return a new writable buffer object that maintains its own memory buffer of size bytes. ValueError is returned if size is not zero or positive. Note that the memory buffer (as returned by PyObject_AsWriteBuffer()) is not specifically aligned.

Changed in version 2.5: This function used an int type for size. This might require changes in your code for properly supporting 64-bit systems.