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Fix More trailing white space
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Doc/whatsnew/2.6.rst

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@@ -307,8 +307,8 @@ The :mod:`threading` module's locks and condition variables also support the
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The lock is acquired before the block is executed and always released once the
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block is complete.
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The :func:`decimal.localcontext` function in the :mod:`decimal` module makes
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it easy to save and restore the current decimal context, which encapsulates
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The :func:`decimal.localcontext` function in the :mod:`decimal` module makes
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it easy to save and restore the current decimal context, which encapsulates
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the desired precision and rounding characteristics for computations::
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from decimal import Decimal, Context, localcontext
@@ -337,11 +337,11 @@ underlying implementation and should keep reading.
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A high-level explanation of the context management protocol is:
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* The expression is evaluated and should result in an object called a "context
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manager". The context manager must have :meth:`~object.__enter__` and
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manager". The context manager must have :meth:`~object.__enter__` and
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:meth:`~object.__exit__` methods.
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* The context manager's :meth:`~object.__enter__` method is called. The value
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returned is assigned to *VAR*. If no ``as VAR`` clause is present, the
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* The context manager's :meth:`~object.__enter__` method is called. The value
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returned is assigned to *VAR*. If no ``as VAR`` clause is present, the
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value is simply discarded.
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* The code in *BLOCK* is executed.
@@ -431,14 +431,14 @@ The contextlib module
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The :mod:`contextlib` module provides some functions and a decorator that
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are useful when writing objects for use with the ':keyword:`with`' statement.
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The decorator is called :func:`~contextlib.contextmanager`, and lets you write
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a single generator function instead of defining a new class. The generator
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should yield exactly one value. The code up to the :keyword:`yield` will be
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executed as the :meth:`~object.__enter__` method, and the value yielded will
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be the method's return value that will get bound to the variable in the
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':keyword:`with`' statement's :keyword:`!as` clause, if any. The code after
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the :keyword:`!yield` will be executed in the :meth:`~object.__exit__` method.
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Any exception raised in the block will be raised by the :keyword:`!yield`
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The decorator is called :func:`~contextlib.contextmanager`, and lets you write
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a single generator function instead of defining a new class. The generator
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should yield exactly one value. The code up to the :keyword:`yield` will be
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executed as the :meth:`~object.__enter__` method, and the value yielded will
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be the method's return value that will get bound to the variable in the
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':keyword:`with`' statement's :keyword:`!as` clause, if any. The code after
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the :keyword:`!yield` will be executed in the :meth:`~object.__exit__` method.
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Any exception raised in the block will be raised by the :keyword:`!yield`
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statement.
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Using this decorator, our database example from the previous section
@@ -572,8 +572,8 @@ approach of the module is still similar. The fundamental class
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is the :class:`~multiprocessing.Process`, which is passed a callable object and
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a collection of arguments. The :meth:`~multiprocessing.Process.start` method
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sets the callable running in a subprocess, after which you can call
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the :meth:`~multiprocessing.Process.is_alive` method to check whether the
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subprocess is still running and the :meth:`~multiprocessing.Process.join`
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the :meth:`~multiprocessing.Process.is_alive` method to check whether the
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subprocess is still running and the :meth:`~multiprocessing.Process.join`
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method to wait for the process to exit.
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Here's a simple example where the subprocess will calculate a
@@ -621,14 +621,14 @@ the object to communicate. (If the parent were to change the value of
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the global variable, the child's value would be unaffected, and vice
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versa.)
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Two other classes, :class:`~multiprocessing.pool.Pool` and
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:class:`~multiprocessing.Manager`, provide higher-level interfaces.
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:class:`~multiprocessing.pool.Pool` will create a fixed number of worker
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processes, and requests can then be distributed to the workers by calling
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:meth:`~multiprocessing.pool.Pool.apply` or
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:meth:`~multiprocessing.pool.Pool.apply_async` to add a single request, and
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Two other classes, :class:`~multiprocessing.pool.Pool` and
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:class:`~multiprocessing.Manager`, provide higher-level interfaces.
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:class:`~multiprocessing.pool.Pool` will create a fixed number of worker
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processes, and requests can then be distributed to the workers by calling
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:meth:`~multiprocessing.pool.Pool.apply` or
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:meth:`~multiprocessing.pool.Pool.apply_async` to add a single request, and
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:meth:`map` or :meth:`~multiprocessing.pool.Pool.map_async` to add a number of
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requests. The following code uses a :class:`~multiprocessing.pool.Pool` to
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requests. The following code uses a :class:`~multiprocessing.pool.Pool` to
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spread requests across 5 worker processes and retrieve a list of results::
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from multiprocessing import Pool
@@ -650,17 +650,17 @@ This produces the following output::
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33452526613163807108170062053440751665152000000000
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...
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The other high-level interface, the :class:`~multiprocessing.Manager` class,
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The other high-level interface, the :class:`~multiprocessing.Manager` class,
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creates a separate server process that can hold master copies of Python data
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structures. Other processes can then access and modify these data
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structures using proxy objects. The following example creates a
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shared dictionary by calling the :meth:`dict` method; the worker
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processes then insert values into the dictionary. (Locking is not
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done for you automatically, which doesn't matter in this example.
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:class:`~multiprocessing.Manager`'s methods also include
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:meth:`~multiprocessing.managers.SyncManager.Lock`,
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:class:`~multiprocessing.Manager`'s methods also include
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:meth:`~multiprocessing.managers.SyncManager.Lock`,
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:meth:`~multiprocessing.managers.SyncManager.RLock`,
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and :meth:`~multiprocessing.managers.SyncManager.Semaphore` to create
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and :meth:`~multiprocessing.managers.SyncManager.Semaphore` to create
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shared locks.)
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::
@@ -1036,21 +1036,21 @@ PEP 3116: New I/O Library
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Python's built-in file objects support a number of methods, but
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file-like objects don't necessarily support all of them. Objects that
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imitate files usually support :meth:`~io.TextIOBase.read` and
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:meth:`~io.TextIOBase.write`, but they may not support :meth:`readline`,
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for example. Python 3.0 introduces a layered I/O library in the :mod:`io`
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module that separates buffering and text-handling features from the
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imitate files usually support :meth:`~io.TextIOBase.read` and
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:meth:`~io.TextIOBase.write`, but they may not support :meth:`readline`,
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for example. Python 3.0 introduces a layered I/O library in the :mod:`io`
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module that separates buffering and text-handling features from the
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fundamental read and write operations.
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There are three levels of abstract base classes provided by
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the :mod:`io` module:
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* :class:`~io.RawIOBase` defines raw I/O operations: :meth:`~io.RawIOBase.read`,
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:meth:`~io.RawIOBase.readinto`, :meth:`~io.RawIOBase.write`,
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:meth:`~io.RawIOBase.readinto`, :meth:`~io.RawIOBase.write`,
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:meth:`~io.IOBase.seek`, :meth:`~io.IOBase.tell`, :meth:`~io.IOBase.truncate`,
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and :meth:`~io.IOBase.close`.
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Most of the methods of this class will often map to a single system call.
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There are also :meth:`~io.IOBase.readable`, :meth:`~io.IOBase.writable`,
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There are also :meth:`~io.IOBase.readable`, :meth:`~io.IOBase.writable`,
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and :meth:`~io.IOBase.seekable` methods for determining what operations a
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given object will allow.
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@@ -1062,7 +1062,7 @@ the :mod:`io` module:
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buffers data in memory to reduce the number of
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system calls used, making I/O processing more efficient.
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It supports all of the methods of :class:`~io.RawIOBase`,
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and adds a :attr:`~io.BufferedIOBase.raw` attribute holding the underlying
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and adds a :attr:`~io.BufferedIOBase.raw` attribute holding the underlying
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raw object.
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There are five concrete classes implementing this ABC.

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