[Pharo-dev] summary of "float & fraction equality bug"
tudor at tudorgirba.com
Sun Nov 12 02:15:10 EST 2017
Indeed, I agree with this point of view.
Can we distill a concrete path to action from this?
> On Nov 11, 2017, at 11:58 AM, raffaello.giulietti at lifeware.ch wrote:
> On 2017-11-10 22:18, Nicolas Cellier wrote:
>> 2017-11-10 20:58 GMT+01:00 Martin McClure <martin at hand2mouse.com
>> <mailto:martin at hand2mouse.com>>:
>> On 11/10/2017 11:33 AM, raffaello.giulietti at lifeware.ch
>> <mailto:raffaello.giulietti at lifeware.ch> wrote:
>> Doing only Fraction->Float conversions in mixed mode won't
>> preserve = as
>> an equivalence relation and won't enable a consistent ordering
>> with <=,
>> which probably most Smalltalkers consider important and enjoyable
>> Good point. I agree that Float -> Fraction is the more desirable
>> mode for implicit conversion, since it can always be done without
>> changing the value.
>> Nicolas gave some convincing examples on why most
>> programmers might want to rely on them.
>> Also, as I mentioned, most Smalltalkers might prefer keeping
>> away from
>> the complex properties of Floats. Doing automatic, implicit
>> Fraction->Float conversions behind the scenes only exacerbates the
>> probability of encountering Floats and of having to deal with their
>> weird and unfamiliar arithmetic.
>> One problem is that we make it easy to create Floats in source code
>> (0.1), and we print Floats in a nice decimal format but by default
>> print Fractions in their reduced fractional form. If we didn't do
>> this, Smalltalkers might not be working with Floats in the first
>> place, and if they did not have any Floats in their computation they
>> would never run into an implicit conversion to *or* from Float.
>> As it is, if we were to uniformly do Float -> Fraction conversion on
>> mixed-mode operations, we would get things like
>> (0.1 * (1/1)) printString -->
>> Not incredibly friendly.
>> For those not practicing the litote: definitely a no go.
>> At the risk of repeating myself, unique choice for all operations is a
>> nice to have but not a goal per se.
>> I mostly agree with Florin: having 0.1 representing a decimal rather
>> than a Float might be a better path meeting more expectations.
>> But thinking that it will magically eradicate the problems is a myth.
>> Shall precision be limited or shall we use ScaledDecimals ?
>> With limited precision, we'll be back to having several Fraction
>> converting to same LimitedDecimal, so it won't solve anything wrt
>> original problem.
>> With illimted precision we'll have the bad property that what we print
>> does not re-interpret to the same ScaledDecimal (0.1s / 0.3s), but
>> that's a detail.
>> The worse thing is that long chain of operations will tend to produce
>> monster numerators denominators.
>> And we will all have long chain when resizing a morph with proportional
>> layout in scalable graphics.
>> We will then have to insert rounding operations manually for mitigating
>> the problem, and somehow reinvent a more inconvenient Float...
>> It's boring to allways play the role of Cassandra, but why do you think
>> that Scheme and Lisp did not choose that path?
> I don't know why Lisper got this way. They justify the conversion choice
> for comparison (equivalence of = and total ordering of <=) but for the
> arithmetic operations there does not seem to be a clearly stated rationale.
> Are they happy with their choice? I haven't the foggiest idea.
> Don't get me wrong: I understand the Fraction->Float choice for the sake
> of more speed.
> But this increase in speed is not functionally transparent: it is not
> like an increase in the clock rate of a CPU, it's not like a better
> performing division algorithm, a faster implementation of sorting or a
> JIT compiler.
> This increase in speed, rather, comes at the cost of a shift in
> functionality and cognitive load, because even + or 0.1 have not their
> conventional semantics. It's not that Floats are wrong by themselves,
> it's that their operations seem weird at first and at odd with the
> familiar behavior.
> Again, I'm not addressing the experts in floating point computation
> here: they know how to deal with it. Thus, I expect that the developers
> of numerically intensive libraries or packages, like 2D or 3D graphics,
> are fully aware of the trade-offs and are in a position to make an
> explicit choice: either monster denominators in fractions or more care
> with floats, but always in control.
> Here, I'm targeting the John Doe Smalltalker which usually uses
> well-crafted, well-performing libraries and probably only performs a few
> thousand mixed Fraction/Float computations on his own, and then speed
> trade-offs do not matter. He is better served with implicit, automatic
> Float->Fraction conversions in both comparisons and operations.
> For him, less cognitive load and less surprises are probably an added value.
"Every now and then stop and ask yourself if the war you're fighting is the right one."
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