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| Started by | Vincent Davis <vincent@vincentdavis.net> |
|---|---|
| First post | 2014-01-23 16:55 -0600 |
| Last post | 2014-01-23 16:55 -0600 |
| Articles | 1 — 1 participant |
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Re: generate De Bruijn sequence memory and string vs lists Vincent Davis <vincent@vincentdavis.net> - 2014-01-23 16:55 -0600
| From | Vincent Davis <vincent@vincentdavis.net> |
|---|---|
| Date | 2014-01-23 16:55 -0600 |
| Subject | Re: generate De Bruijn sequence memory and string vs lists |
| Message-ID | <mailman.5914.1390517726.18130.python-list@python.org> |
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On Thu, Jan 23, 2014 at 3:15 PM, Peter Otten <__peter__@web.de> wrote: > $ python -m timeit -s 'from debruijn_compat import debruijn as d' 'd(4, 8)' > 10 loops, best of 3: 53.5 msec per loop > $ python -m timeit -s 'from debruijn_compat import debruijn_bytes as d' > 'd(4, 8)' > 10 loops, best of 3: 22.2 msec per loop > $ python3 -m timeit -s 'from debruijn_compat import debruijn as d' 'd(4, > 8)' > 10 loops, best of 3: 68 msec per loop > $ python3 -m timeit -s 'from debruijn_compat import debruijn_bytes as d' > 'd(4, 8)' > 10 loops, best of 3: 21.7 msec per loop > Excellent Peter! I have a question, the times reported don't make sense to me, for example $ python3 -m timeit -s 'from debruijn_compat import debruijn_bytes as d' 'd(4, 8)' 100 loops, best of 3: 10.2 msec per loop This took ~4 secs (stop watch) which is much more that 10*.0102 Why is this? $ python3 -m timeit -s 'from debruijn_compat import debruijn_bytes as d' 'd(4, 11)' 10 loops, best of 3: 480 msec per loop This took ~20 secs vs .480*10 d(4, 14) takes about 24 seconds (one run) Vincent Davis
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