cpython/Doc/library/builtins.rst
Georg Brandl ae26cce9a3 Recorded merge of revisions 86795,86798-86799,86801 via svnmerge from
svn+ssh://svn.python.org/python/branches/py3k

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  r86795 | georg.brandl | 2010-11-26 12:55:48 +0100 (Fr, 26 Nov 2010) | 1 line

  Use PyLong_FromLong where appropriate.
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  r86798 | georg.brandl | 2010-11-26 13:05:48 +0100 (Fr, 26 Nov 2010) | 1 line

  #10420: fix docs of bdb.effective().
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  r86799 | georg.brandl | 2010-11-26 13:08:19 +0100 (Fr, 26 Nov 2010) | 1 line

  Remove parenthetical remark that is confusing now that the module is not named "__builtin__" anymore.
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  r86801 | georg.brandl | 2010-11-26 13:12:14 +0100 (Fr, 26 Nov 2010) | 1 line

  Better example for os.system(): do not change the system time.
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2010-11-26 18:29:10 +00:00

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ReStructuredText

:mod:`builtins` --- Built-in objects
====================================
.. module:: builtins
:synopsis: The module that provides the built-in namespace.
This module provides direct access to all 'built-in' identifiers of Python; for
example, ``builtins.open`` is the full name for the built-in function
:func:`open`. See chapter :ref:`builtin`.
This module is not normally accessed explicitly by most applications, but can be
useful in modules that provide objects with the same name as a built-in value,
but in which the built-in of that name is also needed. For example, in a module
that wants to implement an :func:`open` function that wraps the built-in
:func:`open`, this module can be used directly::
import builtins
def open(path):
f = builtins.open(path, 'r')
return UpperCaser(f)
class UpperCaser:
'''Wrapper around a file that converts output to upper-case.'''
def __init__(self, f):
self._f = f
def read(self, count=-1):
return self._f.read(count).upper()
# ...
As an implementation detail, most modules have the name ``__builtins__`` made
available as part of their globals. The value of ``__builtins__`` is normally
either this module or the value of this modules's :attr:`__dict__` attribute.
Since this is an implementation detail, it may not be used by alternate
implementations of Python.