Hi, Le jeudi 5 mai 2011, Greg Ewing <greg.ew...@canterbury.ac.nz> a écrit : > Amaury Forgeot d'Arc wrote: > > > It's in the file Doc/data/refcounts.dat > in some custom format. > > > However, it doesn't seem to quite convey the same information. > It lists the "refcount effect" on each parameter, but translating > that into the notion of borrowed or stolen references seems > to require knowledge of what the function does. > > For example, PyDict_SetItem has: > > PyDict_SetItem:PyObject*:p:0: > PyDict_SetItem:PyObject*:key:+1: > PyDict_SetItem:PyObject*:val:+1: > > All of these parameters take borrowed references, but the > key and val get incremented because they're being stored > in the dict.
This is not always true, for example when the item is already present in the dict. It's not important to know what the function does to the object, Only the action on the reference is relevant. > > So this file appears to be of limited usefulness. -- Amaury -- Amaury Forgeot d'Arc _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
