SF patch #520382: Expand shelve.py to have a full dictionary interface

and add a mixin to UserDict.py to make it easier to implement a full
dictionary interface.
This commit is contained in:
Raymond Hettinger 2002-11-15 06:46:14 +00:00
parent 3a7f405f5b
commit 7994716b6b
5 changed files with 104 additions and 2 deletions

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@ -33,6 +33,10 @@ list = d.keys() # a list of all existing keys (slow!)
d.close() # close it
\end{verbatim}
In addition to the above, shelve supports all methods that are
supported by dictionaries. This eases the transition from dictionary
based scripts to those requiring persistent storage.
Restrictions:
\begin{itemize}

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@ -15,7 +15,13 @@ your own dictionary-like classes, which can inherit from
them and override existing methods or add new ones. In this way one
can add new behaviors to dictionaries.
The \module{UserDict} module defines the \class{UserDict} class:
The module also defines a mixin defining all dictionary methods for
classes that already have a minimum mapping interface. This greatly
simplifies writing classes that need to be substitutable for
dictionaries (such as the shelve module).
The \module{UserDict} module defines the \class{UserDict} class
and \class{DictMixin}:
\begin{classdesc}{UserDict}{\optional{initialdata}}
Class that simulates a dictionary. The instance's
@ -35,6 +41,23 @@ A real dictionary used to store the contents of the \class{UserDict}
class.
\end{memberdesc}
\begin{classdesc}{DictMixin}{}
Mixin defining all dictionary methods for classes that already have
a minimum dictionary interface including\method{__getitem__},
\method{__setitem__}, \method{__delitem__}, and \method{keys}.
This mixin should be used as a superclass. Adding each of the
above methods adds progressively more functionality. For instance,
the absence of \method{__delitem__} precludes only \method{pop}
and \method{popitem}.
While the four methods listed above are sufficient to support the
entire dictionary interface, progessively more efficiency comes
with defining \method{__contains__}, \method{__iter__}, and
\method{iteritems}.
\end{classdesc}
\section{\module{UserList} ---
Class wrapper for list objects}

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@ -60,3 +60,67 @@ class UserDict:
class IterableUserDict(UserDict):
def __iter__(self):
return iter(self.data)
class DictMixin:
'''Mixin defining all dictionary methods for classes that already have
a minimum dictionary interface including getitem, setitem, delitem,
and keys '''
# first level provided by subclass: getitem, setitem, delitem, and keys
# second level definitions which assume only getitem and keys
def has_key(self, key):
try:
value = self[key]
except KeyError:
return False
return True
__contains__ = has_key
def __iter__(self):
for k in self.keys():
yield k
def __len__(self):
return len(self.keys())
# third level uses second level instead of first
def iteritems(self):
for k in self:
yield (k, self[k])
iterkeys = __iter__
# fourth level uses second and third levels instead of first
def itervalues(self):
for _, v in self.iteritems():
yield v
def values(self):
return [self[key] for key in self.keys()]
def items(self):
return list(self.iteritems())
def clear(self):
for key in self.keys():
del self[key]
def setdefault(self, key, default):
if key not in self:
self[key] = default
return default
return self[key]
def pop(self, key):
value = self[key]
del self[key]
return value
def popitem(self):
try:
k, v = self.iteritems().next()
except StopIteration:
raise KeyError, 'dictionary is empty'
del self[k]
return (k, v)
def update(self, other):
for key in other.keys():
self[key] = other[key]
def get(self, key, default=None):
if key in self:
return self[key]
return default
def __repr__(self):
return repr(dict(self.items()))

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@ -40,9 +40,11 @@ try:
except ImportError:
from StringIO import StringIO
import UserDict
__all__ = ["Shelf","BsdDbShelf","DbfilenameShelf","open"]
class Shelf:
class Shelf(UserDict.DictMixin):
"""Base class for shelf implementations.
This is initialized with a dictionary-like object.

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@ -381,6 +381,15 @@ Extension modules
Library
-------
- UserDict.py now defines a DictMixin class which defines all dictionary
methods for classes that already have a minimum mapping interface.
This greatly simplifies writing classes that need to be substitutable
for dictionaries (such as the shelve module).
- shelve.py now subclasses from UserDict.DictMixin. Now shelve supports
all dictionary methods. This eases the transition to persistent
storage for scripts originally written with dictionaries in mind.
- A new package, logging, implements the logging API defined by PEP
282. The code is written by Vinay Sajip.