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Batuhan Osman TASKAYA
cpython
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04602889
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04602889
authored
Haz 15, 2010
tarafından
Antoine Pitrou
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Further refinements to the C file API.
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Doc/c-api/file.rst
Dosyayı görüntüle @
04602889
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@@ -7,25 +7,29 @@ File Objects
.. index:: object: file
Python's built-in file objects are implemented entirely on the :ctype:`FILE\*`
support from the C standard library. This is an implementation detail and may
change in future releases of Python. The ``PyFile_`` APIs are a wrapper over
the :mod:`io` module.
These APIs are a minimal emulation of the Python 2 C API for built-in file
objects, which used to rely on the buffered I/O (:ctype:`FILE\*`) support
from the C standard library. In Python 3, files and streams use the new
:mod:`io` module, which defines several layers over the low-level unbuffered
I/O of the operating system. The functions described below are
convenience C wrappers over these new APIs, and meant mostly for internal
error reporting in the interpreter; third-party code is advised to access
the :mod:`io` APIs instead.
.. cfunction:: PyFile_FromFd(int fd, char *name, char *mode, int buffering, char *encoding, char *errors, char *newline, int closefd)
Create a
new :ctype:`PyFileObject`
from the file descriptor of an already
opened file *fd*. The arguments *name*, *encoding*, *errors* and *newline*
Create a
Python file object
from the file descriptor of an already
opened file *fd*.
The arguments *name*, *encoding*, *errors* and *newline*
can be *NULL* to use the defaults; *buffering* can be *-1* to use the
default. Return *NULL* on failure. For a more comprehensive description of
default. Return *NULL* on failure.
For a more comprehensive description of
the arguments, please refer to the :func:`io.open` function documentation.
.. warning::
Take care when you are mixing streams and descriptors! For more
information, see `the GNU C Library docs
<http://www.gnu.org/software/libc/manual/html_node/Stream_002fDescriptor-Precautions.html#Stream_002fDescriptor-Precautions>`_
.
Since Python streams have their own buffering layer, mixing them with
OS-level file descriptors can produce various issues (such as unexpected
ordering of data)
.
.. cfunction:: int PyObject_AsFileDescriptor(PyObject *p)
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