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| Date | Thu, 9 Oct 2014 10:39:56 -0500 |
| Subject | Re: Numpy, uint64 and Big O notation. |
| From | Skip Montanaro <skip.montanaro@gmail.com> |
| To | marksabbath@gmail.com |
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On Thu, Oct 9, 2014 at 8:08 AM, <marksabbath@gmail.com> wrote: > I'm trying to find out the best way to multiply an uint64 (numpy). Could someone help me find the best way to achieve that and where can I find the time and space complexity in a Big O notation? Multiply it by what? This works fine for me: >>> import numpy >>> x = numpy.uint64(57) >>> x 57 >>> type(x) <type 'numpy.uint64'> >>> xx = x * x >>> type(xx) <type 'numpy.uint64'> >>> xx 3249 >>> xxx = xx * xx >>> xxx 10556001 >>> xxxx = xxx * xxx >>> xxxx 111429157112001 >>> type(xxxx) <type 'numpy.uint64'> >>> xxxxx = xxxx * xxxx >>> type(xxxxx) <type 'numpy.uint64'> >>> xxxxx 12238449225650938241 I assume under the covers there must be a Python long somewhere: >>> int(xxxxx) 12238449225650938241L I think your question needs to be more concrete. Skip
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Numpy, uint64 and Big O notation. marksabbath@gmail.com - 2014-10-09 06:08 -0700 Re: Numpy, uint64 and Big O notation. Skip Montanaro <skip.montanaro@gmail.com> - 2014-10-09 10:39 -0500 Re: Numpy, uint64 and Big O notation. Skip Montanaro <skip.montanaro@gmail.com> - 2014-10-09 11:31 -0500
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