That's a fair point. It seems like it could/should be handled by the same
(not-yet-implemented) mechanism that ensures that `convert(T,x)::T` is
true. Of course, we could choose to enforce this fact via lowering in this
case, independent of enforcing it for convert.
On Wed, Oct 12, 2016 at 7:40 PM, Cedric St-Jean <cedric.stj...@gmail.com>
wrote:
> Very nice summary!
>
> I assume that there's a mile-long issue discussing this somewhere, but why
> doesn't the return type also assert that convert returns a value of the
> correct type?
>
> type A end
> Base.convert(::Type{Int}, ::A) = "hey"
> foo()::Int = A()
> foo() # returns "hey"
>
>
> On Wednesday, October 12, 2016 at 4:29:09 PM UTC-4, Jared Crean wrote:
>>
>> Perfect, thanks.
>>
>> Jared Crean
>>
>> On Wednesday, October 12, 2016 at 2:40:03 PM UTC-4, harven wrote:
>>>
>>>
>>>
>>> Le mercredi 12 octobre 2016 01:45:25 UTC+2, Jared Crean a écrit :
>>>>
>>>> Very nice summary, thanks for posting. One question I had was what
>>>> should the signature of a function be to receive a generator? For example,
>>>> if the only method of extrema is extrema(A::AbstractArray), is that too
>>>> restrictive?
>>>>
>>>> Jared Crean
>>>>
>>>>
>>> Any functions working with iterables will work with generators.
>>>
>>> julia> methods(extrema)
>>> # 4 methods for generic function "extrema":
>>> extrema(r::Range) at reduce.jl:345
>>> extrema(x::Real) at reduce.jl:346
>>> extrema(A::AbstractArray, dims) at reduce.jl:388
>>> extrema(itr) at reduce.jl:362
>>>
>>>
>>> The last line tells you that extrema will work. An object is iterable if
>>> it implements the methods start, next and done. There are in fact a few
>>> other objects that also work on generators.
>>>
>>> julia> methodswith(Base.Generator)
>>> 8-element Array{Method,1}:
>>> collect(itr::Base.Generator) at array.jl:298
>>> done(g::Base.Generator, s) at generator.jl:22
>>> indices(g::Base.Generator) at generator.jl:91
>>> length(g::Base.Generator) at generator.jl:89
>>> ndims(g::Base.Generator) at generator.jl:92
>>> next(g::Base.Generator, s) at generator.jl:24
>>> size(g::Base.Generator) at generator.jl:90
>>> start(g::Base.Generator) at generator.jl:21
>>>
>>> There are a few functions that work on arrays but not on iterables. You
>>> should not expect these to work on generators.
>>>
>>> julia> show(reverse([1:10;]))
>>> [10,9,8,7,6,5,4,3,2,1]
>>> julia> show(reverse(i for i = 1:10))
>>> ERROR: MethodError: no method matching reverse(::Base.Generator{UnitR
>>> ange{Int64},##9#10})
>>> Closest candidates are:
>>> reverse(!Matched::String) at strings/string.jl:209
>>> reverse(!Matched::BitArray{1}) at bitarray.jl:1416
>>> reverse(!Matched::Tuple) at tuple.jl:199
>>> ...
>>>
>>
