[Python-checkins] r69955 - python/trunk/Doc/library/functions.rst

raymond.hettinger python-checkins at python.org
Wed Feb 25 01:52:37 CET 2009


Author: raymond.hettinger
Date: Wed Feb 25 01:52:37 2009
New Revision: 69955

Log:
More markup and spelling fixes.

Modified:
   python/trunk/Doc/library/functions.rst

Modified: python/trunk/Doc/library/functions.rst
==============================================================================
--- python/trunk/Doc/library/functions.rst	(original)
+++ python/trunk/Doc/library/functions.rst	Wed Feb 25 01:52:37 2009
@@ -1198,9 +1198,9 @@
    been overridden in a class. The search order is same as that used by
    :func:`getattr` except that the *type* itself is skipped.
 
-   The ``__mro__`` attribute of the *type* lists the method resolution search
-   order used by both :func:`getattr` and :func:`super`.  The attribue is
-   dynamic and can change whenever the inheritance hierarchy is updated.
+   The :attr:`__mro__` attribute of the *type* lists the method resolution
+   search order used by both :func:`getattr` and :func:`super`.  The attribute
+   is dynamic and can change whenever the inheritance hierarchy is updated.
 
    If the second argument is omitted, the super object returned is unbound.  If
    the second argument is an object, ``isinstance(obj, type)`` must be true.  If
@@ -1210,10 +1210,10 @@
    .. note::
       :func:`super` only works for :term:`new-style class`\es.
 
-   There are two typical use cases for "super".  In a class hierarchy with
-   single inheritance, "super" can be used to refer to parent classes without
+   There are two typical use cases for *super*.  In a class hierarchy with
+   single inheritance, *super* can be used to refer to parent classes without
    naming them explicitly, thus making the code more maintainable.  This use
-   closely parallels the use of "super" in other programming languages.
+   closely parallels the use of *super* in other programming languages.
 
    The second use case is to support cooperative multiple inheritance in a
    dynamic execution environment.  This use case is unique to Python and is


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