On Thu, Oct 9, 2014 at 8:08 AM, <marksabb...@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 -- https://mail.python.org/mailman/listinfo/python-list
