Thank you for this perfect and complete answer !
Fréd

2007/11/16, John M McIntosh <johnmci at smalltalkconsulting.com>:
>
> Actually we can skip some of the complexity
>
> (0.3 + 0.6 + 0.1) = 1.0  -> false
>
> This is not a squeak problem, it's a problem with how floating point
> numbers are stored in binary floating point representation.
> http://en.wikipedia.org/wiki/Floating_point_number
>
>
> The 0.3 + 0.6 + 0.1 returns a number close to, but not quite 1.0
>
> (0.3 + 0.6 + 0.1) hex '3FEFFFFFFFFFFFFF'
> and
> (0.3 + 0.5 + 0.2) hex '3FF0000000000000'
> and
> (1.0) hex  '3FF0000000000000
>
> so when you compare  3FEFFFFFFFFFFFFF to 3FF0000000000000   that
> returns (truefully) false.
>
> It's dangerous to compare floating point numbers, so consider instead.
>
> (0.3 + 0.6 + 0.1) closeTo: (0.3 + 0.5 + 0.2) -> true
>
> but you would need to look at the algorithm in closeTo: to decide if
> it's statistically meaningful to what you want.
>
>
>
> On Nov 15, 2007, at 11:06 PM, Frederic Pluquet wrote:
>
> > Hello,
> >
> > I found a bug in Squeak (3.0, #7067)... The following code returns
> > true:
> >
> > (#(0.3 0.5 0.2) inject: 0.0
> >                                       into: [:sum :proportion | sum +
> proportion]) = 1.0
> >
> >
> > But this following code returns false !
> > (#(0.3 0.6 0.1) inject: 0.0
> >                                       into: [:sum :proportion | sum +
> proportion]) = 1.0
> >
> >
> > An idea ?
> >
> > Fréd
> > --
> > Frédéric Pluquet
> > Université Libre de Bruxelles (ULB)
> > Assistant
> >
>
> --
> =
> =
> =
> ========================================================================
>
> John M. McIntosh <johnmci at smalltalkconsulting.com>
> Corporate Smalltalk Consulting Ltd.  http://www.smalltalkconsulting.com
> =
> =
> =
> ========================================================================
>
>


-- 
Frédéric Pluquet
Université Libre de Bruxelles (ULB)
Assistant
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