Hi,
Should I expect the virtual memory allocation
to go up if I do the following?
-----
raw = open("data").read()
while True:
d = eval(raw)
-----
I would have expected the memory allocated to the
object referenced by d to be deallocated, garbage
collected, and reallocated for the new eval(raw)
results, assigned to d.
The file contains a large, SIMPLE (no self refs; all
native python types/objects) dictionary (>300K).
While doing 'd = eval(raw)' in the python interpreter
I am monitoring the VIRT column of top and it keeps
increasing until I run out of memory.
When I use a safe_eval() from:
http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/364469
I have no memory problems.
I see this under python 2.3.5 (fast and obvious).
Thanks,
John
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