From: Todd M. <jm...@st...> - 2004-03-29 01:13:02
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On Sun, 2004-03-28 at 19:46, Gary Ruben wrote: > > I'm guessing, but I think you would like to see: > > > > >>> abs(-1.) > > 1.0 > > >>> abs(1) > > 1 > > Hi Todd, > > Sorry if I wasn't clear. Yes, that's what I was expecting to see. Thanks for logging it and thanks for the explanation of why it's happening. > > I'd also like to restate the other issues in the email to which that one referred, which haven't been commented on. The cos function result > > >>> cos(1) > 0.54030227661132813 > > gives a different result to cos(1.) > Is this just because of numarray's stated departures from the way type coercion is done in Numeric? My guess is that numarray is casting the integer to a rank-0 Float32 array which is then coerced back to the native Python float type, which presumably is a float64 on the Windows platform. This sounds correct. (Thanks for explaining it!) > Do others think precision is being lost unnecessarily? No. Do you have any suggestions? > Finally, has anyone got any comment about whether the __repr__ versus __str__ display of object array members is the expected behaviour? > Yes. The basic look is exactly what I wanted: >>> a = numarray.objects.fromlist(range(10)) >>> str(a) '[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]' >>> repr(a) 'ObjectArray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])' But I'm open to suggestions and recognize that the handling of spaces/item sizing is weak (although it's not pronounced in this simple example). Do people want something else? Regards, Todd -- Todd Miller <jm...@st...> |