On Jul 26, 9:33 pm, Paul Rubin <http://[EMAIL PROTECTED]> wrote:
> Do a top or vmstat while that is happening and see if you are
> swapping. You are allocating 10 million ints and 10 million tuple
> nodes, = 20 million objects. Although, even at 100 bytes per object
> that would be 1GB which would fit in your machine easily. Is it
> a 64 bit cpu?
we can safely drop the memory limit as being the cause and think about
something else
if you try it yourself you'll see that it is very easy to generate 10
million tuples,
on my system it takes 3 (!!!) seconds to do the following:
size = 10**7
data = []
for i in range(10):
x = [ (0,1) ] * size
data.append( x )
Now it takes over two minutes to do this:
size = 10**7
a = [ 0 ] * size
b = zip(a,a)
the only explanation I can come up with is that the internal
implementation of zip must have some flaws
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