[issue3063] memory leak in random number generation

[Facundo Batista]

Facundo Batista <facundo at taniquetil.com.ar> added the comment:

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

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Python tracker <report at bugs.python.org>
<http://bugs.python.org/issue3063>
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