dbpoko...:
> Which should be 12 bytes on a 32-bit machine. I thought the space for
> growth factor for dicts was about 12% but it is really 100%.
(Please ignore the trailing ".2" in my number in my last post, such
precision is silly).
My memory value comes from experiments, I have created a little
program like this:
from memory import memory
def main(N):
m1 = memory()
print m1
d = {}
for i in xrange(N):
d[i] = None
m2 = memory()
print m2
print float((m2 - m1) * 1024) / N
main(20000000)
Where memory is a small module of mine that calls a little known
program that tells how much memory is used by the current Python
process. The results for that run n=20000000 are (first two numbers
are kilobytes, the third number is byte/pair):
1876
633932
32.3612672
It means to store 20_000_000 pairs it requires about 647_000_000
bytes, Python 2.5.2, on Win.
Bye,
bearophile
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