[swift-evolution] Proposal: Auto-convert for numbers when safe

[Matthew Johnson]

I would be happy with any solution that provides failable conversion so I would support that as well.  

Any chance we could see something like this in Swift 2.2 or Swift 3?  I was hoping the failable initializers might be low hanging fruit but it seems like the scoped feature would be more than that.

Sent from my iPad

> On Dec 6, 2015, at 4:04 PM, Chris Lattner <clattner at apple.com> wrote:
> 
> Could definitely be interesting.  I’d personally like to turn it into a scoped feature along the lines of this post though:
> 
> https://lists.swift.org/pipermail/swift-evolution/2015-December/000292.html
> 
> -Chris
> 
>> On Dec 6, 2015, at 5:29 AM, Matthew Johnson <matthew at anandabits.com> wrote:
>> 
>> Related to this, but maybe easier to do in the short term: what do you think of adding failable overloads to the numeric conversion initializers Chris?  
>> 
>> They would throw or return nil if the runtime value could not be preserved rather than trap, truncate, etc.  Floating point types might allow a tolerance for small value changes due to precision, although I'm not sure if that would be good or not.   These initializers would be very useful when processing data from an external source such as JSON that has an expected type but cannot be trusted.
>> 
>> 
>> 
>> Sent from my iPad
>> 
>>>> On Dec 6, 2015, at 1:02 AM, Chris Lattner via swift-evolution <swift-evolution at swift.org> wrote:
>>>> 
>>>> On Dec 5, 2015, at 4:27 AM, Jonathan Hull <jhull at gbis.com> wrote:
>>>> I understand why you can’t auto-convert from a Double to a Float or Int32 to Int8.  It is good that we have to add the cast explicitly and think though the implications.
>>>> 
>>>> …but I don’t think through the implications because we currently have a boy who cried wolf situation where we have to explicitly cast everything (even the safe stuff).
>>>> 
>>>> 
>>>> I think all of the numeric types should be able to auto-convert if the conversion is safe (without loss of precision or overflow).
>>>> 
>>>> For example:
>>>> • If an Int is casting to a larger size (Int16 -> Int32)
>>>> • Float -> Double
>>>> • Float -> CGFloat
>>>> • Int -> Float, Double, or CGFloat (but not the other way)
>>>> 
>>>> I don’t see why these aren’t allowed. The forced casts make my code much less readable.  Are the casts above dangerous in a way I am not aware of?
>>> 
>>> I agree that the current Swift numerics model is suboptimal, I personally would like to see small integers implicitly promote to large integers (when they are known lossless), have Float promote to Double, and have both Float and Double promote to CGFloat (yes, I know that the Double -> CGFloat promotion would be lossy on 32-bit apple platforms).  I personally don’t think that integer -> floating point promotions are a good idea even if value preserving, since their domains are so different.
>>> 
>>> The problem with doing this today is that there are a lot of dependencies we need to get resolved first.
>>> 
>>> 1. The type checker is really slow, partially because of too-many and too-crazy implicit conversions.  We also get very surprising behavior when they kick in. Specifically, IMO, we need to reevaluate the T! <-> T and T to T? conversions.  We have thoughts on this, but should be discussed in a separate thread if you’re interested.
>>> 
>>> 2. These promotions should be expressible in the library, not hard coded into the compiler.  This means that we would need a language feature to (e.g.) be able to define subtype relationships between structs.  Such a feature would be generally useful and could allow us to push some of our existing compiler magic out to the stdlib.
>>> 
>>> 3. We want the existing work to revise the numerics protocols to be better understood and hopefully implemented.
>>> 
>>> There are also a ton of unrelated specific problems that should be addressed in various ways: e.g. macros like M_PI get imported as Double instead of a typeless literal, forcing tons of casts in code that wants to use it (e.g.) with Floats.  These issues are separable, and blocked on things like generic properties not being in place.
>>> 
>>> It would be great for interested contributors to start pushing on any of the above issues to help unblock progress on improving the numerics model.
>>> 
>>> -Chris
>>> 
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