Birgit said:
I tryed A = [].
And I think thats why my RAM is filling up. But I dont know if this is the
problem. So I asked.
Is del A[0:] the better or an equal solution?
Birgit
Not exactly equal, but it depends on the context. Consider:
a = [None] * 10000
b = a
a = []
The first line creates a 10000 element list and adds a reference to it ("a");
the second adds a new reference to the list ("b"); the third removes a reference
from the list and makes it point to a new empty list. So the 10000 element list
still has a reference ("b"), and is not deleted from memory, since it can still
be accessed via the variable b.
OTOH, consider this:
a = [None] * 10000
b = a
del a[:]
The two first lines are the same, but the third one does not just delete a
reference to the 10000 element list; it actually deletes all elements from the
list itself. So now, a *and* b point on the empty list, and the memory used by
the original list is given back to the system (or should be... see further)
What makes you think the memory is not given back to the system? Does the memory
occupied by your script increase and increase, or do you just see the memory
occupied by your script remain constant when you do the del a[:]? In the latter
case, it may be perfectly normal: it is quite frequent that the memory freed by
an operation is not returned immediatly to the system, but kept for future use
by the program.
BTW, I tried the following script, watching the memory consumption at each line:
>>> a = [None] * 10000
>>> a = []
>>> b = [None] * 10000
>>> b = []
>>> c = [None] * 10000
>>> c = []
>>> d = [None] * 100000
The first line actually increase the memory allocated for the Python
interpreter; the second one doesn't decrease it, but the third one does not
increase it, because the memory occupied by the first 10000 element list was
re-used for the second one. Same thing for the third 10000 element list (the one
put in c). The last line *did* increase the consumed memory, because more space
was needed for the 100000 element list.
HTH