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\section{\module{gc} ---
Garbage Collector interface}
\declaremodule{extension}{gc}
\modulesynopsis{Interface to the cycle-detecting garbage collector.}
\moduleauthor{Neil Schemenauer}{nas@arctrix.com}
\sectionauthor{Neil Schemenauer}{nas@arctrix.com}
The \module{gc} module is only available if the interpreter was built
with the optional cyclic garbage detector (enabled by default). If
this was not enabled, an \exception{ImportError} is raised by attempts
to import this module.
This module provides an interface to the optional garbage collector. It
provides the ability to disable the collector, tune the collection
frequency, and set debugging options. It also provides access to
unreachable objects that the collector found but cannot free. Since the
collector supplements the reference counting already used in Python, you
can disable the collector if you are sure your program does not create
reference cycles. Automatic collection can be disabled by calling
\code{gc.disable()}. To debug a leaking program call
\code{gc.set_debug(gc.DEBUG_LEAK)}.
The \module{gc} module provides the following functions:
\begin{funcdesc}{enable}{}
Enable automatic garbage collection.
\end{funcdesc}
\begin{funcdesc}{disable}{}
Disable automatic garbage collection.
\end{funcdesc}
\begin{funcdesc}{isenabled}{}
Returns true if automatic collection is enabled.
\end{funcdesc}
\begin{funcdesc}{collect}{}
Run a full collection. All generations are examined and the
number of unreachable objects found is returned.
\end{funcdesc}
\begin{funcdesc}{set_debug}{flags}
Set the garbage collection debugging flags.
Debugging information will be written to \code{sys.stderr}. See below
for a list of debugging flags which can be combined using bit
operations to control debugging.
\end{funcdesc}
\begin{funcdesc}{get_debug}{}
Return the debugging flags currently set.
\end{funcdesc}
\begin{funcdesc}{set_threshold}{threshold0\optional{,
threshold1\optional{, threshold2}}}
Set the garbage collection thresholds (the collection frequency).
Setting \var{threshold0} to zero disables collection.
The GC classifies objects into three generations depending on how many
collection sweeps they have survived. New objects are placed in the
youngest generation (generation \code{0}). If an object survives a
collection it is moved into the next older generation. Since
generation \code{2} is the oldest generation, objects in that
generation remain there after a collection. In order to decide when
to run, the collector keeps track of the number object allocations and
deallocations since the last collection. When the number of
allocations minus the number of deallocations exceeds
\var{threshold0}, collection starts. Initially only generation
\code{0} is examined. If generation \code{0} has been examined more
than \var{threshold1} times since generation \code{1} has been
examined, then generation \code{1} is examined as well. Similarly,
\var{threshold2} controls the number of collections of generation
\code{1} before collecting generation \code{2}.
\end{funcdesc}
\begin{funcdesc}{get_threshold}{}
Return the current collection thresholds as a tuple of
\code{(\var{threshold0}, \var{threshold1}, \var{threshold2})}.
\end{funcdesc}
The following variable is provided for read-only access (you can
mutate its value but should not rebind it):
\begin{datadesc}{garbage}
A list of objects which the collector found to be unreachable
but could not be freed (uncollectable objects). By default, this list
contains only objects with \method{__del__()} methods.\footnote{Prior to
Python 2.2, the list contained all instance objects in unreachable
cycles, not only those with \method{__del__()} methods.}
Objects that have
\method{__del__()} methods and are part of a reference cycle cause
the entire reference cycle to be uncollectable, including objects
not necessarily in the cycle but reachable only from it. Python doesn't
collect such cycles automatically because, in general, it isn't possible
for Python to guess a safe order in which to run the \method{__del__()}
methods. If you know a safe order, you can force the issue by examining
the \var{garbage} list, and explicitly breaking cycles due to your
objects within the list. Note that these objects are kept alive even
so by virtue of being in the \var{garbage} list, so they should be
removed from \var{garbage} too. For example, after breaking cycles, do
\code{del gc.garbage[:]} to empty the list. It's generally better
to avoid the issue by not creating cycles containing objects with
\method{__del__()} methods, and \var{garbage} can be examined in that
case to verify that no such are being created.
If \constant{DEBUG_SAVEALL} is set, then all unreachable objects will
be added to this list rather than freed.
\end{datadesc}
The following constants are provided for use with
\function{set_debug()}:
\begin{datadesc}{DEBUG_STATS}
Print statistics during collection. This information can
be useful when tuning the collection frequency.
\end{datadesc}
\begin{datadesc}{DEBUG_COLLECTABLE}
Print information on collectable objects found.
\end{datadesc}
\begin{datadesc}{DEBUG_UNCOLLECTABLE}
Print information of uncollectable objects found (objects which are
not reachable but cannot be freed by the collector). These objects
will be added to the \code{garbage} list.
\end{datadesc}
\begin{datadesc}{DEBUG_INSTANCES}
When \constant{DEBUG_COLLECTABLE} or \constant{DEBUG_UNCOLLECTABLE} is
set, print information about instance objects found.
\end{datadesc}
\begin{datadesc}{DEBUG_OBJECTS}
When \constant{DEBUG_COLLECTABLE} or \constant{DEBUG_UNCOLLECTABLE} is
set, print information about objects other than instance objects found.
\end{datadesc}
\begin{datadesc}{DEBUG_SAVEALL}
When set, all unreachable objects found will be appended to
\var{garbage} rather than being freed. This can be useful for debugging
a leaking program.
\end{datadesc}
\begin{datadesc}{DEBUG_LEAK}
The debugging flags necessary for the collector to print
information about a leaking program (equal to \code{DEBUG_COLLECTABLE |
DEBUG_UNCOLLECTABLE | DEBUG_INSTANCES | DEBUG_OBJECTS | DEBUG_SAVEALL}).
\end{datadesc}
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