[swift-evolution] [pitch] Comparison Reform
Dave Abrahams
dabrahams at apple.com
Sat Apr 22 18:14:07 CDT 2017
on Sat Apr 22 2017, David Sweeris <davesweeris-AT-mac.com> wrote:
> Maybe we should make Float/Double conform to
> "IEEE754Comparable"/"IEEE754Equatable" instead of
> "Comparable"/"Equatable". Then it's all a moot point since floating
> point types wouldn't end up in the same generic functions as other
> comparable types.
>
> (Not sure if I'm serious)
Do you want to ban
Dictionary<Float,String>
? That would be one consequence.
>
> - Dave Sweeris
>
>> On Apr 22, 2017, at 14:53, Xiaodi Wu via swift-evolution <swift-evolution at swift.org> wrote:
>>
>>> On Sat, Apr 22, 2017 at 4:14 PM, Dave Abrahams <dabrahams at apple.com> wrote:
>>>
>>> on Tue Apr 18 2017, Xiaodi Wu <xiaodi.wu-AT-gmail.com> wrote:
>>>
>>> > On Tue, Apr 18, 2017 at 10:40 AM, Ben Cohen via swift-evolution <
>>> > swift-evolution at swift.org> wrote:
>>> >
>>> >>
>>> >> On Apr 17, 2017, at 9:40 PM, Chris Lattner via swift-evolution <
>>> >> swift-evolution at swift.org> wrote:
>>> >>
>>> >>
>>> >> On Apr 17, 2017, at 9:07 AM, Joe Groff via swift-evolution <
>>> >> swift-evolution at swift.org> wrote:
>>> >>
>>> >>
>>> >> On Apr 15, 2017, at 9:49 PM, Xiaodi Wu via swift-evolution <
>>> >> swift-evolution at swift.org> wrote:
>>> >>
>>> >> For example, I expect `XCTAssertEqual<T : FloatingPoint>(_:_:)` to be
>>> >> vended as part of XCTest, in order to make sure that `XCTAssertEqual(resultOfComputation,
>>> >> Double.nan)` always fails.
>>> >>
>>> >>
>>> >> Unit tests strike me as an example of where you really *don't* want level
>>> >> 1 comparison semantics. If I'm testing the output of an FP operation, I
>>> >> want to be able to test that it produces nan when I expect it to, or that
>>> >> it produces the right zero.
>>> >>
>>> >>
>>> >> I find it very concerning that == will have different results based on
>>> >> concrete vs generic type parameters. This can only lead to significant
>>> >> confusion down the road. I’m highly concerned about situations where
>>> >> taking a concrete algorithm and generalizing it (with generics) will change
>>> >> its behavior.
>>> >>
>>> >>
>>> >> It is already the case that you can start with a concrete algorithm,
>>> >> generalize it, and get confusing results – just with a different starting
>>> >> point. If you start with a concrete algorithm on Int, then generalize it to
>>> >> all Equatable types, then your algorithm will have unexpected behavior for
>>> >> floats, because these standard library types fail to follow the rules
>>> >> explicitly laid out for conforming to Equatable.
>>> >>
>>> >> This is bad. Developers need to be able to rely on those rules. The
>>> >> standard library certainly does:
>>> >>
>>> >> let a: [Double] = [(0/0)]
>>> >> var b = a
>>> >>
>>> >> // true, because fast path buffer pointer comparison:
>>> >> a == b
>>> >>
>>> >> b.reserveCapacity(10) // force a reallocation
>>> >>
>>> >> // now false, because memberwise comparison and nan != nan,
>>> >> // violating the reflexivity requirement of Equatable:
>>> >> a == b
>>> >>
>>> >>
>>> >> Maybe we could go through and special-case all the places in the standard
>>> >> library that rely on this, accounting for the floating point behavior
>>> >> (possibly reducing performance as a result). But we shouldn't expect users
>>> >> to.
>>> >>
>>> >
>>> > I was not thinking about the issue illustrated above, but this is
>>> > definitely problematic to me.
>>> >
>>> > To be clear, this proposal promises that `[0 / 0 as Double]` will be made
>>> > to compare unequal with itself, yes?
>>>
>>> Nope.
>>>
>>> As you know, equality of arrays is implemented generically and based on
>>> the equatable conformance of their elements. Therefore, two arrays of
>>> equatable elements are equal iff the conforming implementation of
>>> Equatable's == is true for all elements.
>>>
>>> > It is very clear that here we are working with a concrete FP type and
>>> > not in a generic context, and thus all IEEE FP behavior should apply.
>>>
>>> I suppose that's one interpretation, but it's not the right one.
>>>
>>> If this were C++, it would be different, because of the way template
>>> instantiation works: in a generic context like the == of Array, the
>>> compiler would look up the syntactically-available == for the elements
>>> and use that. But Swift is not like that; static lookup is done at the
>>> point where Array's == is compiled, and it only finds the == that's
>>> supplied by the Element's Equatable conformance.
>>>
>>> This may sound like an argument based on implementation details of the
>>> language, and to some extent it is. But that is also the fundamental
>>> nature of the Swift language (and one for which we get many benefits),
>>> and it is hopeless to paper over it. For example, I can claim that all
>>> doubles are equal to one another:
>>>
>>> 9> func == (lhs: Double, rhs: Double) -> Bool { return true }
>>> 10> 4.0 == 1.0
>>> $R2: Bool = true
>>> 11> [4.0] == [1.0] // so the arrays should be equal too!
>>> $R3: Bool = false
>>>
>>> Another way to look at this is that Array is not a numeric vector, and
>>> won't be one no matter what you do ([1.0] + [2.0] => [1.0, 2.0]). So it
>>> would be wrong for you to expect it to reflect the numeric properties of
>>> its elements.
>>
>> I understand that's how the generic Array<T> would work, but the
>> proposal as written promises FP-aware versions of these
>> functions. That is to say, I would expect the standard library to
>> supply an alternative implementation of equality for Array<T where T
>> : FloatingPoint>.
>>
>>> >> This is a bump in the rug – push it down in one place, it pops up in
>>> >> another. I feel like this proposal at least moves the bump to where fewer
>>> >> people will trip over it. I think it highly likely that the intersection of
>>> >> developers who understand enough about floating point to write truly
>>> >> correct concrete code, but won’t know about or discover the documented
>>> >> difference in generic code, is far smaller than the set of people who hit
>>> >> problems with the existing behavior.
>>> >>
>>> >
>>> > So, to extend this analogy, I'd rather say that the bump is not in the rug
>>> > [Comparable] but rather in a section of the floor [FP NaN]. The rug might
>>> > overlie the bump, but the bump will always be there and people will find it
>>> > as they walk even if they don't immediately see it.
>>>
>>> Correct.
>>>
>>> > If we don't want people to trip over the bump while walking on the
>>> > rug, one very good alternative, IMHO, is to shape the rug so that it
>>> > doesn't cover the bump.
>>>
>>> At what cost?
>>>
>>> More specifically: why is it the right behavior, for our audience, to
>>> trap when Equatable comparison happens to encounter NaN? Will this not
>>> simply "crash" programs in the field that otherwise would have "just
>>> worked?"
>>
>> No, as I propose it, programs in the field would be automatically
>> migrated to an alternative set of comparison operators `&==`, `&<`,
>> etc. that would work exactly as `==`, `<`, etc. do today. I would
>> quibble with the notion that all such generic algorithms currently
>> "just work," but the result is that they would behave exactly as
>> they do today and therefore would at least be no more broken.
>>
>> Standard library changes to `sort` and other functions will make
>> them "just work" with no distinguishable difference to the end user
>> as compared to this proposal here. It would be an improvement over
>> how the algorithms work today with NaN.
>>
>> The major difference to the end user between what I propose and this
>> proposal here will surface when _new_ code is written that uses `==`
>> in the generic context, when working with types whose values may
>> compare unordered. Since I propose `<=>` to return a value of type
>> `Comparison?`, using the revised operator `==` is an assertion that
>> the result of comparison is not unordered. A user is welcome to use
>> `&==` or a custom predicate if that is not their intention.
>>
>>> > My purpose in exploring an alternative design is to see if it would be
>>> > feasible for non-FP-aware comparison operators to refuse to compare NaN,
>>> > rather than giving different answers depending on context.
>>>
>>> So... to be clear, this is still different behavior based on context.
>>> Is this not just as confusing a result?
>>>
>>> let nan = 0.0 / 0.0
>>> print(nan == nan) // false
>>> print([nan] == [nan]) // trap
>>>
>>> > I now strongly believe that this may make for a design simultaneously
>>> > _less_ complex *and* _more_ comprehensive (as measured by the
>>> > flatness-of-rug metric).
>>>
>>> I'm certainly willing to discuss it, but so far it doesn't seem like
>>> you've been willing to answer the central questions above.
>>
>> Clearly, I'm not understanding the central questions. Which ones have I left unanswered?
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--
-Dave
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