#5341: fix "builtin" where used as an adjective ("built-in" is correct).
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@ -664,9 +664,10 @@ order to remind you of that fact, it does not return the sorted list. This way,
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you won't be fooled into accidentally overwriting a list when you need a sorted
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copy but also need to keep the unsorted version around.
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In Python 2.4 a new builtin -- :func:`sorted` -- has been added. This function
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creates a new list from a provided iterable, sorts it and returns it. For
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example, here's how to iterate over the keys of a dictionary in sorted order::
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In Python 2.4 a new built-in function -- :func:`sorted` -- has been added.
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This function creates a new list from a provided iterable, sorts it and returns
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it. For example, here's how to iterate over the keys of a dictionary in sorted
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order::
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for key in sorted(mydict):
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... # do whatever with mydict[key]...
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@ -439,7 +439,7 @@ extension module using g++ (e.g., ``g++ -shared -o mymodule.so mymodule.o``).
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Can I create an object class with some methods implemented in C and others in Python (e.g. through inheritance)?
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----------------------------------------------------------------------------------------------------------------
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In Python 2.2, you can inherit from builtin classes such as :class:`int`,
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In Python 2.2, you can inherit from built-in classes such as :class:`int`,
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:class:`list`, :class:`dict`, etc.
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The Boost Python Library (BPL, http://www.boost.org/libs/python/doc/index.html)
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@ -25,10 +25,10 @@ your topic of interest will usually find something helpful.
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Where is the math.py (socket.py, regex.py, etc.) source file?
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-------------------------------------------------------------
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If you can't find a source file for a module it may be a builtin or dynamically
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loaded module implemented in C, C++ or other compiled language. In this case
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you may not have the source file or it may be something like mathmodule.c,
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somewhere in a C source directory (not on the Python Path).
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If you can't find a source file for a module it may be a built-in or
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dynamically loaded module implemented in C, C++ or other compiled language.
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In this case you may not have the source file or it may be something like
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mathmodule.c, somewhere in a C source directory (not on the Python Path).
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There are (at least) three kinds of modules in Python:
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@ -359,7 +359,7 @@ therefore atomic from the point of view of a Python program.
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In theory, this means an exact accounting requires an exact understanding of the
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PVM bytecode implementation. In practice, it means that operations on shared
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variables of builtin data types (ints, lists, dicts, etc) that "look atomic"
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variables of built-in data types (ints, lists, dicts, etc) that "look atomic"
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really are.
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For example, the following operations are all atomic (L, L1, L2 are lists, D,
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@ -502,9 +502,9 @@ I can't seem to use os.read() on a pipe created with os.popen(); why?
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:func:`os.read` is a low-level function which takes a file descriptor, a small
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integer representing the opened file. :func:`os.popen` creates a high-level
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file object, the same type returned by the builtin :func:`open` function. Thus,
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to read n bytes from a pipe p created with :func:`os.popen`, you need to use
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``p.read(n)``.
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file object, the same type returned by the built-in :func:`open` function.
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Thus, to read n bytes from a pipe p created with :func:`os.popen`, you need to
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use ``p.read(n)``.
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How do I run a subprocess with pipes connected to both input and output?
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@ -603,10 +603,11 @@ Python file objects are a high-level layer of abstraction on top of C streams,
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which in turn are a medium-level layer of abstraction on top of (among other
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things) low-level C file descriptors.
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For most file objects you create in Python via the builtin ``file`` constructor,
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``f.close()`` marks the Python file object as being closed from Python's point
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of view, and also arranges to close the underlying C stream. This also happens
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automatically in f's destructor, when f becomes garbage.
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For most file objects you create in Python via the built-in ``file``
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constructor, ``f.close()`` marks the Python file object as being closed from
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Python's point of view, and also arranges to close the underlying C stream.
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This also happens automatically in ``f``'s destructor, when ``f`` becomes
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garbage.
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But stdin, stdout and stderr are treated specially by Python, because of the
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special status also given to them by C. Running ``sys.stdout.close()`` marks
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@ -178,9 +178,10 @@ it is much shorter and far faster to use ::
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L2 = list(L1[:3]) # "list" is redundant if L1 is a list.
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Note that the functionally-oriented builtins such as :func:`map`, :func:`zip`,
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and friends can be a convenient accelerator for loops that perform a single
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task. For example to pair the elements of two lists together::
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Note that the functionally-oriented built-in functions such as :func:`map`,
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:func:`zip`, and friends can be a convenient accelerator for loops that
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perform a single task. For example to pair the elements of two lists
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together::
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>>> zip([1, 2, 3], [4, 5, 6])
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[(1, 4), (2, 5), (3, 6)]
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@ -203,7 +204,7 @@ on string objects <string-methods>`. Use regular expressions only when you're
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not dealing with constant string patterns. You may still use :ref:`the old %
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operations <string-formatting>` ``string % tuple`` and ``string % dictionary``.
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Be sure to use the :meth:`list.sort` builtin method to do sorting, and see the
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Be sure to use the :meth:`list.sort` built-in method to do sorting, and see the
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`sorting mini-HOWTO <http://wiki.python.org/moin/HowTo/Sorting>`_ for examples
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of moderately advanced usage. :meth:`list.sort` beats other techniques for
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sorting in all but the most extreme circumstances.
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@ -346,7 +347,7 @@ Though a bit surprising at first, a moment's consideration explains this. On
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one hand, requiring :keyword:`global` for assigned variables provides a bar
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against unintended side-effects. On the other hand, if ``global`` was required
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for all global references, you'd be using ``global`` all the time. You'd have
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to declare as global every reference to a builtin function or to a component of
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to declare as global every reference to a built-in function or to a component of
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an imported module. This clutter would defeat the usefulness of the ``global``
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declaration for identifying side-effects.
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@ -1059,7 +1060,7 @@ trailing newline from a string.
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How do I iterate over a sequence in reverse order?
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--------------------------------------------------
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Use the :func:`reversed` builtin function, which is new in Python 2.4::
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Use the :func:`reversed` built-in function, which is new in Python 2.4::
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for x in reversed(sequence):
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... # do something with x...
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@ -52,10 +52,10 @@ One of the most awful question asked on the newsgroup is why this code::
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f.read()
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does not work. Of course, it works just fine (assuming you have a file called
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"www".) But it does not work if somewhere in the module, the statement ``from os
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import *`` is present. The :mod:`os` module has a function called :func:`open`
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which returns an integer. While it is very useful, shadowing builtins is one of
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its least useful properties.
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"www".) But it does not work if somewhere in the module, the statement ``from
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os import *`` is present. The :mod:`os` module has a function called
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:func:`open` which returns an integer. While it is very useful, shadowing a
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builtin is one of its least useful properties.
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Remember, you can never know for sure what names a module exports, so either
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take what you need --- ``from module import name1, name2``, or keep them in the
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@ -126,7 +126,7 @@ attributes:
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| frame | f_back | next outer frame object | |
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| | | (this frame's caller) | |
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+-----------+-----------------+---------------------------+-------+
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| | f_builtins | built-in namespace seen | |
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| | f_builtins | builtins namespace seen | |
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| | | by this frame | |
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+-----------+-----------------+---------------------------+-------+
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| | f_code | code object being | |
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