[Python-3000-checkins] r57968 - in python/branches/py3k/Doc: howto/functional.rst library/itertools.rst library/stdtypes.rst library/userdict.rst reference/datamodel.rst

fred.drake python-3000-checkins at python.org
Tue Sep 4 19:33:11 CEST 2007


Author: fred.drake
Date: Tue Sep  4 19:33:11 2007
New Revision: 57968

Modified:
   python/branches/py3k/Doc/howto/functional.rst
   python/branches/py3k/Doc/library/itertools.rst
   python/branches/py3k/Doc/library/stdtypes.rst
   python/branches/py3k/Doc/library/userdict.rst
   python/branches/py3k/Doc/reference/datamodel.rst
Log:
remove/update many of the references to dict.iter*()

Modified: python/branches/py3k/Doc/howto/functional.rst
==============================================================================
--- python/branches/py3k/Doc/howto/functional.rst	(original)
+++ python/branches/py3k/Doc/howto/functional.rst	Tue Sep  4 19:33:11 2007
@@ -291,10 +291,10 @@
 Note that the order is essentially random, because it's based on the hash
 ordering of the objects in the dictionary.
 
-Applying ``iter()`` to a dictionary always loops over the keys, but dictionaries
-have methods that return other iterators.  If you want to iterate over keys,
-values, or key/value pairs, you can explicitly call the ``iterkeys()``,
-``itervalues()``, or ``iteritems()`` methods to get an appropriate iterator.
+Applying :func:`iter` to a dictionary always loops over the keys, but
+dictionaries have methods that return other iterators.  If you want to iterate
+over values or key/value pairs, you can explicitly call the
+:meth:`values` or :meth:`items` methods to get an appropriate iterator.
 
 The :func:`dict` constructor can accept an iterator that returns a finite stream
 of ``(key, value)`` tuples::

Modified: python/branches/py3k/Doc/library/itertools.rst
==============================================================================
--- python/branches/py3k/Doc/library/itertools.rst	(original)
+++ python/branches/py3k/Doc/library/itertools.rst	Tue Sep  4 19:33:11 2007
@@ -414,7 +414,7 @@
    # Show a dictionary sorted and grouped by value
    >>> from operator import itemgetter
    >>> d = dict(a=1, b=2, c=1, d=2, e=1, f=2, g=3)
-   >>> di = sorted(d.iteritems(), key=itemgetter(1))
+   >>> di = sorted(d.items(), key=itemgetter(1))
    >>> for k, g in groupby(di, key=itemgetter(1)):
    ...     print(k, map(itemgetter(0), g))
    ...
@@ -464,9 +464,6 @@
        "Return function(0), function(1), ..."
        return imap(function, count())
 
-   def iteritems(mapping):
-       return izip(mapping.iterkeys(), mapping.itervalues())
-
    def nth(iterable, n):
        "Returns the nth item or raise StopIteration"
        return islice(iterable, n, None).next()

Modified: python/branches/py3k/Doc/library/stdtypes.rst
==============================================================================
--- python/branches/py3k/Doc/library/stdtypes.rst	(original)
+++ python/branches/py3k/Doc/library/stdtypes.rst	Tue Sep  4 19:33:11 2007
@@ -1804,39 +1804,24 @@
 
 .. method:: dict.items()
 
-   Return a copy of the dictionary's list of ``(key, value)`` pairs.
+   Return an iterator over the dictionary's ``(key, value)`` pairs.
 
    .. note::
 
       Keys and values are listed in an arbitrary order which is non-random, varies
       across Python implementations, and depends on the dictionary's history of
-      insertions and deletions. If :meth:`items`, :meth:`keys`, :meth:`values`,
-      :meth:`iteritems`, :meth:`iterkeys`, and :meth:`itervalues` are called with no
+      insertions and deletions. If :meth:`items`, :meth:`keys`, and
+      :meth:`values` are called with no
       intervening modifications to the dictionary, the lists will directly correspond.
       This allows the creation of ``(value, key)`` pairs using :func:`zip`: ``pairs =
       zip(d.values(), d.keys())``.  The same relationship holds for the
       :meth:`iterkeys` and :meth:`itervalues` methods: ``pairs = zip(d.itervalues(),
       d.iterkeys())`` provides the same value for ``pairs``. Another way to create the
-      same list is ``pairs = [(v, k) for (k, v) in d.iteritems()]``.
-
-.. method:: dict.iteritems()
-
-   Return an iterator over the dictionary's ``(key, value)`` pairs.
-   See the note for :meth:`dict.items`.
-
-.. method:: dict.iterkeys()
-
-   Return an iterator over the dictionary's keys.  See the note for
-   :meth:`dict.items`.
-
-.. method:: dict.itervalues()
-
-   Return an iterator over the dictionary's values.  See the note for
-   :meth:`dict.items`.
+      same list is ``pairs = [(v, k) for (k, v) in d.items()]``.
 
 .. method:: dict.keys()
 
-   Return a copy of the dictionary's list of keys.  See the note for
+   Return an iterator over the dictionary's keys.  See the note for
    :meth:`dict.items`.
 
 .. method:: dict.pop(key[, default])
@@ -1855,13 +1840,13 @@
 
 .. method:: dict.setdefault(key[, default])
 
-   If *key* is in the dictionary, return its value.  If not, insert *key* with a
-   value of *default* and return *default*.  *default* defaults to ``None``.
+   If *key* is in the dictionary, return its value.  If not, insert *key* with
+   a value of *default* and return *default*.  *default* defaults to ``None``.
 
 .. method:: dict.update([other])
 
-   Update the dictionary with the key/value pairs from *other*, overwriting existing
-   keys.  Return ``None``.
+   Update the dictionary with the key/value pairs from *other*, overwriting
+   existing keys.  Return ``None``.
 
    :func:`update` accepts either another dictionary object or an iterable of
    key/value pairs (as a tuple or other iterable of length two).  If keyword
@@ -1870,8 +1855,8 @@
 
 .. method:: dict.values()
 
-   Return a copy of the dictionary's list of values.  See the note for
-   :meth:`mapping.items`.
+   Return an iterator over the dictionary's values.  See the note for
+   :meth:`dict.items`.
 
 
 .. _bltin-file-objects:

Modified: python/branches/py3k/Doc/library/userdict.rst
==============================================================================
--- python/branches/py3k/Doc/library/userdict.rst	(original)
+++ python/branches/py3k/Doc/library/userdict.rst	Tue Sep  4 19:33:11 2007
@@ -33,7 +33,8 @@
 
    .. note::
 
-      For backward compatibility, instances of :class:`UserDict` are not iterable.
+      For backward compatibility, instances of :class:`UserDict` are not
+      iterable.
 
 
 .. class:: IterableUserDict([initialdata])
@@ -62,8 +63,8 @@
    :meth:`__delitem__` will preclude only :meth:`pop` and :meth:`popitem` from the
    full interface.
 
-   In addition to the four base methods, progressively more efficiency comes with
-   defining :meth:`__contains__`, :meth:`__iter__`, and :meth:`iteritems`.
+   In addition to the four base methods, progressively more efficiency comes
+   with defining :meth:`__contains__` and :meth:`__iter__`.
 
    Since the mixin has no knowledge of the subclass constructor, it does not define
    :meth:`__init__` or :meth:`copy`.
@@ -93,10 +94,11 @@
 .. class:: UserList([list])
 
    Class that simulates a list.  The instance's contents are kept in a regular
-   list, which is accessible via the :attr:`data` attribute of :class:`UserList`
+   list, which is accessible via the :attr:`data` attribute of
+   :class:`UserList`
    instances.  The instance's contents are initially set to a copy of *list*,
-   defaulting to the empty list ``[]``.  *list* can be any iterable, e.g. a
-   real Python list or a :class:`UserList` object.
+   defaulting to the empty list ``[]``.  *list* can be any iterable, for
+   example a real Python list or a :class:`UserList` object.
 
 In addition to supporting the methods and operations of mutable sequences (see
 section :ref:`typesseq`), :class:`UserList` instances provide the following

Modified: python/branches/py3k/Doc/reference/datamodel.rst
==============================================================================
--- python/branches/py3k/Doc/reference/datamodel.rst	(original)
+++ python/branches/py3k/Doc/reference/datamodel.rst	Tue Sep  4 19:33:11 2007
@@ -1589,8 +1589,8 @@
 N`` where *N* is the length of the sequence, or slice objects, which define a
 range of items.  It is also recommended that mappings provide the methods
 :meth:`keys`, :meth:`values`, :meth:`items`, :meth:`has_key`, :meth:`get`,
-:meth:`clear`, :meth:`setdefault`, :meth:`iterkeys`, :meth:`itervalues`,
-:meth:`iteritems`, :meth:`pop`, :meth:`popitem`, :meth:`copy`, and
+:meth:`clear`, :meth:`setdefault`,
+:meth:`pop`, :meth:`popitem`, :meth:`copy`, and
 :meth:`update` behaving similar to those for Python's standard dictionary
 objects.  The :mod:`UserDict` module provides a :class:`DictMixin` class to help
 create those methods from a base set of :meth:`__getitem__`,
@@ -1608,7 +1608,7 @@
 the values.  It is further recommended that both mappings and sequences
 implement the :meth:`__iter__` method to allow efficient iteration through the
 container; for mappings, :meth:`__iter__` should be the same as
-:meth:`iterkeys`; for sequences, it should iterate through the values.
+:meth:`keys`; for sequences, it should iterate through the values.
 
 .. method:: object.__len__(self)
 
@@ -1677,7 +1677,7 @@
    This method is called when an iterator is required for a container. This method
    should return a new iterator object that can iterate over all the objects in the
    container.  For mappings, it should iterate over the keys of the container, and
-   should also be made available as the method :meth:`iterkeys`.
+   should also be made available as the method :meth:`keys`.
 
    Iterator objects also need to implement this method; they are required to return
    themselves.  For more information on iterator objects, see :ref:`typeiter`.


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