guillaume> But I've noticed a near linear slowdown of the execution :
guillaume> after a few minutes - and several millions of allocated and
guillaume> freed objects, each iteration take more and more time to
guillaume> execute.
I ran your script on my Mac and let it go for over an hour. The times
printed near the end were not that different than the times near the start.
First few prints:
4.80848908424
4.17986106873
4.07436394691
4.57266497612
4.26531600952
4.1674759388
4.00401592255
4.56974005699
4.33465600014
4.17652106285
4.02282094955
4.6344628334
Last few prints:
4.0330889225
3.89743900299
4.39918708801
4.16099500656
4.06551003456
3.91927599907
4.42701005936
4.17856502533
4.07650518417
3.93242192268
4.44240498543
4.32765197754
Final summary:
{'ClassicBig': 29580000, 'ClassicSmall': 29580000, 'Tree': 29580000}
max=5.617558 min=3.869602
This was with Python 2.6. I then ran it for awhile (though not nearly as
long - just 5-10 minutes) with Python 2.5.
First few prints:
4.50398087502
3.73511385918
3.63765382767
4.04779291153
3.87206196785
3.73774003983
3.62571001053
4.02851200104
3.90740704536
3.87872505188
3.71122288704
4.11415696144
3.95573282242
Last few prints:
5.18314695358
5.6188788414
5.40970396996
5.31133294106
5.14807605743
5.70623922348
5.47632288933
5.46225881577
5.42709779739
5.80780506134
5.53798508644
5.43349313736
5.5712749958
5.91922187805
Summary:
{'ClassicBig': 5101922, 'ClassicSmall': 5101922, 'Tree': 5101922}
max=6.006355 min=3.625710
It seems that whatever problem you saw in 2.5 is fixed in 2.6.
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