(original) (raw)

A good summary on floating point comparison algorithms can be found at�


http://www.boost.org/doc/libs/1_34_0/libs/test/doc/components/test_tools/floating_point_comparison.html


I, too, redefine almostEquals so that the comparison is more robust

+1

On Sun, Mar 28, 2010 at 2:06 AM, Steven D'Aprano <steve@pearwood.info> wrote:

On Sun, 28 Mar 2010 02:54:19 pm Charles McCreary wrote:
> Perhaps not just absolute but relative tolerance, e.g.:
>
> def isclose(x, y, rtol=1.e-5, atol=1.e-8):
> � � return abs(x-y) <= atol + rtol \* abs(y)

I'm not sure why you add the tolerances like that. Surely a more
appropriate approach is to compare the values against the tolerances
individually, and return True if they meet either condition.

For what it's worth, here's a recipe I wrote for approximately equal,
following someone's complaint on comp.lang.python that Python has no
approximately-equal operator.

http://code.activestate.com/recipes/577124-approximately-equal/

Comments and criticism welcome.

I've never found unittest.TestCase.assertAlmostEqual to be useful. I
generally write my own comparison function, then call:

assert\_(compare(x, y))

as needed. I'm +0.5 on Michael's suggested change -- it will make
assertAlmostEqual marginally more useful, which is a plus, but I'm not
sure that absolute tolerances are better than relative. But how general
do we want to be? "Almost equal" means something different to everyone.



> On Fri, Mar 26, 2010 at 7:59 PM, Michael Foord
<fuzzyman@voidspace.org.uk>wrote:
> > Hello all,
> >
> > A user has suggested an optional argument to
> > unittest.TestCase.assertAlmostEqual for specifying a maximum
> > difference between the expected and actual values, instead of using
> > rounding.
\[snip\]



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