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| Date | Wed, 10 Dec 2014 17:30:05 +1100 |
| Subject | Re: Nested loops is strangely slow, totally at a loss. |
| From | Chris Angelico <rosuav@gmail.com> |
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On Wed, Dec 10, 2014 at 4:20 PM, Shiyao Ma <i@introo.me> wrote: > from itertools import product > space_len = 580 > space = product(xrange(space_len), xrange(space_len), xrange(space_len)) > > sparse_cloud = product(xrange(1000), xrange(1000), xrange(1000)) > for i, j, k in sparse_cloud: > ts = timeit.default_timer() > if (i, j, k) in space: pass > te = timeit.default_timer() On Wed, Dec 10, 2014 at 4:23 PM, Shiyao Ma <i@introo.me> wrote: > One thing to note, the logic of using "in" is not of concern here. > This is a *contrived* example, the problem is the slowness of the first > iteration. Are you sure it isn't? Your 'space' is an iterable cubic cross-product. Your first loop checks (0,0,0) which is the first element returned, and is thus fast... but it also *consumes* that first element. The next time you test it, the entire space gets consumed, looking for another (0,0,0), which won't exist. That means iterating over 580**3 == 195112000 (two hundred million) tuples, and that *is* going to be slow. Is product() really the right way to represent your space? ChrisA
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Re: Nested loops is strangely slow, totally at a loss. Chris Angelico <rosuav@gmail.com> - 2014-12-10 17:30 +1100
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