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@swift.org> wrote:
>
>>
>> On Apr 17, 2017, at 9:40 PM, Chris Lattner via swift-evolution <
>> swift-evolution@swift.org> wrote:
>>
>>
>> On Apr 17, 2017, at 9:07 AM, Joe Groff via swift-evolution <
>> swift-evolution@swift.org> wrote:
>>
>>
>> On Apr 15, 2017, at 9:49 PM, Xiaodi Wu via swift-evolution <
>> swift-evolution@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.
>> 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?"
> 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.
--
-Dave
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