Hi. I am experiencing a puzzling problem with both Python 2.4 and Python 2.6 on CentOS 5. I'm looking for an explanation of the problem and possible solutions. Here is what I did:
Python 2.4.3 (#1, Sep 21 2011, 19:55:41) IPython 0.8.4 -- An enhanced Interactive Python. In [1]: def test(): ...: return [(i,) for i in range(10**6)] In [2]: %time x = test() CPU times: user 0.82 s, sys: 0.04 s, total: 0.86 s Wall time: 0.86 s In [4]: big_list = range(50 * 10**6) In [5]: %time y = test() CPU times: user 9.11 s, sys: 0.03 s, total: 9.14 s Wall time: 9.15 s As you can see, after creating a list of 50 million integers, creating the same list of 1 million tuples takes about 10 times longer than the first time. I ran these tests on a machine with 144GB of memory and it is not swapping. Before creating the big list of integers, IPython used 111MB of memory; After the creation, it used 1664MB of memory. Thanks for your time. Cheers. -- Benoit Thiell The SAO/NASA Astrophysics Data System http://adswww.harvard.edu/ -- http://mail.python.org/mailman/listinfo/python-list
