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@ -788,31 +788,30 @@ Text I/O
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Performance
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-----------
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This section discusses the performance of the provided concrete IO
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This section discusses the performance of the provided concrete I/O
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implementations.
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Binary I/O
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^^^^^^^^^^
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By reading and writing only large chunks of data even when the user asks
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for a single byte, buffered I/O is designed to hide any inefficiency in
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calling and executing the operating system's unbuffered I/O routines. The
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gain will vary very much depending on the OS and the kind of I/O which is
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performed (for example, on some contemporary OSes such as Linux, unbuffered
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disk I/O can be as fast as buffered I/O). The bottom line, however, is
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that buffered I/O will offer you predictable performance regardless of the
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platform and the backing device. Therefore, it is most always preferable to
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use buffered I/O rather than unbuffered I/O.
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By reading and writing only large chunks of data even when the user asks for a
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single byte, buffered I/O hides any inefficiency in calling and executing the
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operating system's unbuffered I/O routines. The gain depends on the OS and the
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kind of I/O which is performed. For example, on some modern OSes such as Linux,
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unbuffered disk I/O can be as fast as buffered I/O. The bottom line, however,
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is that buffered I/O offers predictable performance regardless of the platform
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and the backing device. Therefore, it is most always preferable to use buffered
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I/O rather than unbuffered I/O for binary datal
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Text I/O
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^^^^^^^^
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Text I/O over a binary storage (such as a file) is significantly slower than
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binary I/O over the same storage, because it implies conversions from
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unicode to binary data using a character codec. This can become noticeable
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if you handle huge amounts of text data (for example very large log files).
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Also, :meth:`TextIOWrapper.tell` and :meth:`TextIOWrapper.seek` are both
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quite slow due to the reconstruction algorithm used.
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binary I/O over the same storage, because it requires conversions between
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unicode and binary data using a character codec. This can become noticeable
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handling huge amounts of text data like large log files. Also,
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:meth:`TextIOWrapper.tell` and :meth:`TextIOWrapper.seek` are both quite slow
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due to the reconstruction algorithm used.
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:class:`StringIO`, however, is a native in-memory unicode container and will
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exhibit similar speed to :class:`BytesIO`.
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@ -820,9 +819,8 @@ exhibit similar speed to :class:`BytesIO`.
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Multi-threading
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^^^^^^^^^^^^^^^
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:class:`FileIO` objects are thread-safe to the extent that the operating
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system calls (such as ``read(2)`` under Unix) they are wrapping are thread-safe
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too.
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:class:`FileIO` objects are thread-safe to the extent that the operating system
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calls (such as ``read(2)`` under Unix) they wrap are thread-safe too.
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Binary buffered objects (instances of :class:`BufferedReader`,
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:class:`BufferedWriter`, :class:`BufferedRandom` and :class:`BufferedRWPair`)
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@ -837,12 +835,13 @@ Reentrancy
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Binary buffered objects (instances of :class:`BufferedReader`,
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:class:`BufferedWriter`, :class:`BufferedRandom` and :class:`BufferedRWPair`)
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are not reentrant. While reentrant calls will not happen in normal situations,
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they can arise if you are doing I/O in a :mod:`signal` handler. If it is
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attempted to enter a buffered object again while already being accessed
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*from the same thread*, then a :exc:`RuntimeError` is raised.
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they can arise from doing I/O in a :mod:`signal` handler. If a thread tries to
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renter a buffered object which it is already accessing, a :exc:`RuntimeError` is
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raised. Note this doesn't prohibit a different thread from entering the
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buffered object.
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The above implicitly extends to text files, since the :func:`open()`
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function will wrap a buffered object inside a :class:`TextIOWrapper`. This
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includes standard streams and therefore affects the built-in function
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:func:`print()` as well.
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The above implicitly extends to text files, since the :func:`open()` function
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will wrap a buffered object inside a :class:`TextIOWrapper`. This includes
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standard streams and therefore affects the built-in function :func:`print()` as
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well.
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