Facundo:
I understand now. You mean every unique float number used will be an object in memory. And never been released until Python quit. Is there any way to reclaim these memory? We need 3G memory to create a list of 100million randum numbers.
Thank you very much,
Grant
On Sun, Jun 8, 2008 at 11:59 AM, Facundo Batista <
report@bugs.python.org> wrote:
So, 0.0 would be cached, and the 414m+384m would be from the list
itself, right? I tried,
>>> data = [(1.0/i) for i in xrange(1,100000000)]
And the memory consumption was the big one.
Grant, the 800 MB is taken by ONE 0.0, and a list of zillion positions.
Furthermore, I did:
>>> for x in xrange(100000000):
... i = random()
And the memory didn't increase.
Grant, take note that there's no gc issue, the numbers stay alive
because the list itself is pointing to them.
Closing this as invalid.
----------
resolution: -> invalid
status: open -> closed
--
Grant Tang