[Python-checkins] r59847 - python/trunk/Doc/library/collections.rst

raymond.hettinger python-checkins at python.org
Mon Jan 7 22:33:51 CET 2008


Author: raymond.hettinger
Date: Mon Jan 7 22:33:51 2008
New Revision: 59847
Modified:
 python/trunk/Doc/library/collections.rst
Log:
Documentation nits.
Modified: python/trunk/Doc/library/collections.rst
==============================================================================
--- python/trunk/Doc/library/collections.rst	(original)
+++ python/trunk/Doc/library/collections.rst	Mon Jan 7 22:33:51 2008
@@ -364,8 +364,8 @@
 method which lists the tuple contents in a ``name=value`` format.
 
 The *fieldnames* are a single string with each fieldname separated by whitespace
- and/or commas (for example 'x y' or 'x, y'). Alternatively, the *fieldnames*
- can be specified with a sequence of strings (such as ['x', 'y']).
+ and/or commas (for example 'x y' or 'x, y'). Alternatively, *fieldnames*
+ can be a sequence of strings (such as ['x', 'y']).
 
 Any valid Python identifier may be used for a fieldname except for names
 starting with an underscore. Valid identifiers consist of letters, digits,
@@ -482,7 +482,7 @@
 
 .. attribute:: somenamedtuple._fields
 
- Tuple of strings listing the field names. This is useful for introspection
+ Tuple of strings listing the field names. Useful for introspection
 and for creating new named tuple types from existing named tuples.
 
 ::
@@ -501,7 +501,7 @@
 >>> getattr(p, 'x')
 11
 
-When casting a dictionary to a named tuple, use the double-star-operator [#]_::
+To cast a dictionary to a named tuple, use the double-star-operator [#]_::
 
 >>> d = {'x': 11, 'y': 22}
 >>> Point(**d)
@@ -526,7 +526,7 @@
 Point: x= 1.286 y= 6.000 hypot= 6.136
 
 Another use for subclassing is to replace performance critcal methods with
-faster versions that bypass error-checking and localize variable access::
+faster versions that bypass error-checking and that localize variable access::
 
 >>> class Point(namedtuple('Point', 'x y')):
 _make = classmethod(tuple.__new__)


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