More words: gave more motivation, and added cautions about the special

dangers of trying to iterate over weak dicts.
This commit is contained in:
Tim Peters 2003-11-21 22:20:57 +00:00
parent 65367ca41e
commit 5a5b243043
1 changed files with 51 additions and 10 deletions

View File

@ -14,10 +14,37 @@
The \module{weakref} module allows the Python programmer to create
\dfn{weak references} to objects.
In the discussion which follows, the term \dfn{referent} means the
In the following, the term \dfn{referent} means the
object which is referred to by a weak reference.
XXX --- need to say more here!
A weak reference to an object is not enough to keep the object alive:
when the only remaining references to a referent are weak references,
garbage collection is free to destroy the referent and reuse its memory
for something else. A primary use for weak references is to implement
caches or mappings holding large objects, where it's desired that a
large object not be kept alive solely because it appears in a cache or
mapping. For example, if you have a number of large binary image objects,
you may wish to associate a name with each. If you used a Python
dictionary to map names to images, or images to names, the image objects
would remain alive just because they appeared as values or keys in the
dictionaries. The \class{WeakKeyDictionary} and
\class{WeakValueDictionary} classes supplied by the \module{weakref}
module are an alternative, using weak references to construct mappings
that don't keep objects alive solely because they appear in the mapping
objects. If, for example, an image object is a value in a
\class{WeakValueDictionary}, then when the last remaining
references to that image object are the weak references held by weak
mappings, garbage collection can reclaim the object, and its corresponding
entries in weak mappings are simply deleted.
\class{WeakKeyDictionary} and \class{WeakValueDictionary} use weak
references in their implementation, setting up callback functions on
the weak references that notify the weak dictionaries when a key or value
has been reclaimed by garbage collection. Most programs should find that
using one of these weak dictionary types is all they need -- it's
not usually necessary to create your own weak references directly. The
low-level machinery used by the weak dictionary implementations is exposed
by the \module{weakref} module for the benefit of advanced uses.
Not all objects can be weakly referenced; those objects which can
include class instances, functions written in Python (but not in C),
@ -44,13 +71,13 @@ be made to support weak references; see section \ref{weakref-extension},
error output, but cannot be propagated; they are handled in exactly
the same way as exceptions raised from an object's
\method{__del__()} method.
Weak references are hashable if the \var{object} is hashable. They
will maintain their hash value even after the \var{object} was
deleted. If \function{hash()} is called the first time only after
the \var{object} was deleted, the call will raise
\exception{TypeError}.
Weak references support tests for equality, but not ordering. If
the referents are still alive, two references have the same
equality relationship as their referents (regardless of the
@ -89,12 +116,26 @@ be made to support weak references; see section \ref{weakref-extension},
with an object owned by other parts of an application without adding
attributes to those objects. This can be especially useful with
objects that override attribute accesses.
\note{Caution: Because a \class{WeakKeyDictionary} is built on top
of a Python dictionary, it must not change size when iterating
over it. This can be difficult to ensure for a
\class{WeakKeyDictionary} because actions performed by the
program during iteration may cause items in the dictionary
to vanish "by magic" (as a side effect of garbage collection).}
\end{classdesc}
\begin{classdesc}{WeakValueDictionary}{\optional{dict}}
Mapping class that references values weakly. Entries in the
dictionary will be discarded when no strong reference to the value
exists any more.
\note{Caution: Because a \class{WeakValueDictionary} is built on top
of a Python dictionary, it must not change size when iterating
over it. This can be difficult to ensure for a
\class{WeakValueDictionary} because actions performed by the
program during iteration may cause items in the dictionary
to vanish "by magic" (as a side effect of garbage collection).}
\end{classdesc}
\begin{datadesc}{ReferenceType}
@ -253,14 +294,14 @@ The type constructor is responsible for initializing the weak reference
list to \NULL:
\begin{verbatim}
static PyObject *
instance_new() {
/* Other initialization stuff omitted for brevity */
static PyObject *
instance_new() {
/* Other initialization stuff omitted for brevity */
self->in_weakreflist = NULL;
self->in_weakreflist = NULL;
return (PyObject *) self;
}
return (PyObject *) self;
}
\end{verbatim}
The only further addition is that the destructor needs to call the