>>>>> eric.le.bi...@spectro.jussieu.fr (ELB) wrote: >ELB> To Dave A. and Piet: I appreciate your taking the time to make >ELB> suggestions. I understand that there is a hitch in the approach that >ELB> you describe, which I would like to insist on: how do you handle >ELB> functions that use math.sin(), for instance? numpy does this kind of >ELB> magic, but I'm not sure it's wise to spend time reproducing it. I'd >ELB> to not have to modify any calculation code, so that it is legible and >ELB> general (in particular, so that it can work with Python floats). And >ELB> again, interval arithmetic fails to produce real standard deviations, >ELB> because of correlations between uncertainties.
Mine does allow you to use math.sin(x) as you can see. Dave's also I think. His solution is similar to mine but he puts the list stuff in it whereas I came up with only the float. In my solution I think you can mostly use normal formula's with the Float objects, although there may be some functions that give problems for example if they have explicit tests like type(x) == float. Why don't you give it a try? -- Piet van Oostrum <p...@cs.uu.nl> URL: http://pietvanoostrum.com [PGP 8DAE142BE17999C4] Private email: p...@vanoostrum.org -- http://mail.python.org/mailman/listinfo/python-list
