mirror of https://github.com/python/cpython
326 lines
12 KiB
TeX
326 lines
12 KiB
TeX
\section{\module{weakref} ---
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Weak references}
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\declaremodule{extension}{weakref}
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\modulesynopsis{Support for weak references and weak dictionaries.}
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\moduleauthor{Fred L. Drake, Jr.}{fdrake@acm.org}
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\moduleauthor{Neil Schemenauer}{nas@arctrix.com}
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\moduleauthor{Martin von L\"owis}{martin@loewis.home.cs.tu-berlin.de}
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\sectionauthor{Fred L. Drake, Jr.}{fdrake@acm.org}
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\versionadded{2.1}
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The \module{weakref} module allows the Python programmer to create
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\dfn{weak references} to objects.
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In the following, the term \dfn{referent} means the
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object which is referred to by a weak reference.
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A weak reference to an object is not enough to keep the object alive:
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when the only remaining references to a referent are weak references,
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garbage collection is free to destroy the referent and reuse its memory
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for something else. A primary use for weak references is to implement
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caches or mappings holding large objects, where it's desired that a
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large object not be kept alive solely because it appears in a cache or
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mapping. For example, if you have a number of large binary image objects,
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you may wish to associate a name with each. If you used a Python
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dictionary to map names to images, or images to names, the image objects
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would remain alive just because they appeared as values or keys in the
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dictionaries. The \class{WeakKeyDictionary} and
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\class{WeakValueDictionary} classes supplied by the \module{weakref}
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module are an alternative, using weak references to construct mappings
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that don't keep objects alive solely because they appear in the mapping
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objects. If, for example, an image object is a value in a
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\class{WeakValueDictionary}, then when the last remaining
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references to that image object are the weak references held by weak
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mappings, garbage collection can reclaim the object, and its corresponding
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entries in weak mappings are simply deleted.
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\class{WeakKeyDictionary} and \class{WeakValueDictionary} use weak
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references in their implementation, setting up callback functions on
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the weak references that notify the weak dictionaries when a key or value
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has been reclaimed by garbage collection. Most programs should find that
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using one of these weak dictionary types is all they need -- it's
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not usually necessary to create your own weak references directly. The
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low-level machinery used by the weak dictionary implementations is exposed
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by the \module{weakref} module for the benefit of advanced uses.
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Not all objects can be weakly referenced; those objects which can
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include class instances, functions written in Python (but not in C),
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and methods (both bound and unbound). Extension types can easily
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be made to support weak references; see section \ref{weakref-extension},
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``Weak References in Extension Types,'' for more information.
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\begin{funcdesc}{ref}{object\optional{, callback}}
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Return a weak reference to \var{object}. The original object can be
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retrieved by calling the reference object if the referent is still
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alive; if the referent is no longer alive, calling the reference
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object will cause \code{None} to be returned. If \var{callback} is
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provided, it will be called when the object is about to be
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finalized; the weak reference object will be passed as the only
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parameter to the callback; the referent will no longer be available.
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It is allowable for many weak references to be constructed for the
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same object. Callbacks registered for each weak reference will be
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called from the most recently registered callback to the oldest
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registered callback.
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Exceptions raised by the callback will be noted on the standard
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error output, but cannot be propagated; they are handled in exactly
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the same way as exceptions raised from an object's
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\method{__del__()} method.
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Weak references are hashable if the \var{object} is hashable. They
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will maintain their hash value even after the \var{object} was
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deleted. If \function{hash()} is called the first time only after
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the \var{object} was deleted, the call will raise
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\exception{TypeError}.
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Weak references support tests for equality, but not ordering. If
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the referents are still alive, two references have the same
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equality relationship as their referents (regardless of the
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\var{callback}). If either referent has been deleted, the
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references are equal only if the reference objects are the same
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object.
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\end{funcdesc}
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\begin{funcdesc}{proxy}{object\optional{, callback}}
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Return a proxy to \var{object} which uses a weak reference. This
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supports use of the proxy in most contexts instead of requiring the
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explicit dereferencing used with weak reference objects. The
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returned object will have a type of either \code{ProxyType} or
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\code{CallableProxyType}, depending on whether \var{object} is
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callable. Proxy objects are not hashable regardless of the
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referent; this avoids a number of problems related to their
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fundamentally mutable nature, and prevent their use as dictionary
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keys. \var{callback} is the same as the parameter of the same name
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to the \function{ref()} function.
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\end{funcdesc}
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\begin{funcdesc}{getweakrefcount}{object}
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Return the number of weak references and proxies which refer to
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\var{object}.
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\end{funcdesc}
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\begin{funcdesc}{getweakrefs}{object}
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Return a list of all weak reference and proxy objects which refer to
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\var{object}.
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\end{funcdesc}
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\begin{classdesc}{WeakKeyDictionary}{\optional{dict}}
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Mapping class that references keys weakly. Entries in the
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dictionary will be discarded when there is no longer a strong
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reference to the key. This can be used to associate additional data
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with an object owned by other parts of an application without adding
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attributes to those objects. This can be especially useful with
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objects that override attribute accesses.
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\note{Caution: Because a \class{WeakKeyDictionary} is built on top
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of a Python dictionary, it must not change size when iterating
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over it. This can be difficult to ensure for a
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\class{WeakKeyDictionary} because actions performed by the
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program during iteration may cause items in the dictionary
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to vanish "by magic" (as a side effect of garbage collection).}
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\end{classdesc}
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\begin{classdesc}{WeakValueDictionary}{\optional{dict}}
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Mapping class that references values weakly. Entries in the
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dictionary will be discarded when no strong reference to the value
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exists any more.
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\note{Caution: Because a \class{WeakValueDictionary} is built on top
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of a Python dictionary, it must not change size when iterating
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over it. This can be difficult to ensure for a
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\class{WeakValueDictionary} because actions performed by the
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program during iteration may cause items in the dictionary
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to vanish "by magic" (as a side effect of garbage collection).}
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\end{classdesc}
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\begin{datadesc}{ReferenceType}
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The type object for weak references objects.
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\end{datadesc}
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\begin{datadesc}{ProxyType}
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The type object for proxies of objects which are not callable.
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\end{datadesc}
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\begin{datadesc}{CallableProxyType}
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The type object for proxies of callable objects.
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\end{datadesc}
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\begin{datadesc}{ProxyTypes}
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Sequence containing all the type objects for proxies. This can make
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it simpler to test if an object is a proxy without being dependent
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on naming both proxy types.
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\end{datadesc}
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\begin{excdesc}{ReferenceError}
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Exception raised when a proxy object is used but the underlying
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object has been collected. This is the same as the standard
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\exception{ReferenceError} exception.
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\end{excdesc}
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\begin{seealso}
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\seepep{0205}{Weak References}{The proposal and rationale for this
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feature, including links to earlier implementations
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and information about similar features in other
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languages.}
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\end{seealso}
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\subsection{Weak Reference Objects
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\label{weakref-objects}}
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Weak reference objects have no attributes or methods, but do allow the
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referent to be obtained, if it still exists, by calling it:
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\begin{verbatim}
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>>> import weakref
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>>> class Object:
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... pass
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...
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>>> o = Object()
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>>> r = weakref.ref(o)
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>>> o2 = r()
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>>> o is o2
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True
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\end{verbatim}
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If the referent no longer exists, calling the reference object returns
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\code{None}:
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\begin{verbatim}
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>>> del o, o2
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>>> print r()
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None
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\end{verbatim}
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Testing that a weak reference object is still live should be done
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using the expression \code{\var{ref}() is not None}. Normally,
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application code that needs to use a reference object should follow
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this pattern:
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\begin{verbatim}
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# r is a weak reference object
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o = r()
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if o is None:
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# referent has been garbage collected
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print "Object has been allocated; can't frobnicate."
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else:
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print "Object is still live!"
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o.do_something_useful()
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\end{verbatim}
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Using a separate test for ``liveness'' creates race conditions in
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threaded applications; another thread can cause a weak reference to
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become invalidated before the weak reference is called; the
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idiom shown above is safe in threaded applications as well as
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single-threaded applications.
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\subsection{Example \label{weakref-example}}
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This simple example shows how an application can use objects IDs to
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retrieve objects that it has seen before. The IDs of the objects can
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then be used in other data structures without forcing the objects to
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remain alive, but the objects can still be retrieved by ID if they
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do.
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% Example contributed by Tim Peters.
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\begin{verbatim}
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import weakref
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_id2obj_dict = weakref.WeakValueDictionary()
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def remember(obj):
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oid = id(obj)
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_id2obj_dict[oid] = obj
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return oid
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def id2obj(oid):
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return _id2obj_dict[oid]
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\end{verbatim}
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\subsection{Weak References in Extension Types
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\label{weakref-extension}}
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One of the goals of the implementation is to allow any type to
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participate in the weak reference mechanism without incurring the
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overhead on those objects which do not benefit by weak referencing
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(such as numbers).
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For an object to be weakly referencable, the extension must include a
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\ctype{PyObject*} field in the instance structure for the use of the
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weak reference mechanism; it must be initialized to \NULL{} by the
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object's constructor. It must also set the \member{tp_weaklistoffset}
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field of the corresponding type object to the offset of the field.
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Also, it needs to add \constant{Py_TPFLAGS_HAVE_WEAKREFS} to the
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tp_flags slot. For example, the instance type is defined with the
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following structure:
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\begin{verbatim}
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typedef struct {
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PyObject_HEAD
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PyClassObject *in_class; /* The class object */
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PyObject *in_dict; /* A dictionary */
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PyObject *in_weakreflist; /* List of weak references */
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} PyInstanceObject;
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\end{verbatim}
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The statically-declared type object for instances is defined this way:
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\begin{verbatim}
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PyTypeObject PyInstance_Type = {
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PyObject_HEAD_INIT(&PyType_Type)
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0,
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"module.instance",
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/* Lots of stuff omitted for brevity... */
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Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_WEAKREFS /* tp_flags */
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0, /* tp_doc */
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0, /* tp_traverse */
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0, /* tp_clear */
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0, /* tp_richcompare */
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offsetof(PyInstanceObject, in_weakreflist), /* tp_weaklistoffset */
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};
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\end{verbatim}
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The type constructor is responsible for initializing the weak reference
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list to \NULL:
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\begin{verbatim}
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static PyObject *
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instance_new() {
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/* Other initialization stuff omitted for brevity */
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self->in_weakreflist = NULL;
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return (PyObject *) self;
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}
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\end{verbatim}
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The only further addition is that the destructor needs to call the
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weak reference manager to clear any weak references. This should be
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done before any other parts of the destruction have occurred, but is
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only required if the weak reference list is non-\NULL:
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\begin{verbatim}
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static void
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instance_dealloc(PyInstanceObject *inst)
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{
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/* Allocate temporaries if needed, but do not begin
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destruction just yet.
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*/
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if (inst->in_weakreflist != NULL)
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PyObject_ClearWeakRefs((PyObject *) inst);
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/* Proceed with object destruction normally. */
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}
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\end{verbatim}
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