Robert Bradshaw schrieb am 06.09.2017 um 08:28:
> On Tue, Sep 5, 2017 at 10:44 PM, Stefan Behnel wrote:
>> Robert Bradshaw schrieb am 06.09.2017 um 07:21:
>>> I'm not a huge fan of behaving differently depending on what syntax
>>> was used to annotate the return type--I'd rather they be 100% aliases
>>> of each other.
>>
>> Regarding this bit - I already chose to implement some differences for
>> annotation typing. Mainly, if you say
>>
>>     def f(x: int) -> float:
>>         return x
>>
>> then the (plain "def") function will actually be typed as "double
>> f(object)"., assuming that you probably meant the Python types and not the
>> C types. If you want the C types "int" and "float", you have to use either
>> of these:
>>
>>     def f1(x: cython.int) -> cython.float:
>>         return x
>>
>>     cpdef float f2(int x):
>>         return x
>>
>> That is because the main use case of signature annotations is Python code
>> compatibility, so I tried to change the semantics as little as possible
>> from what the code would be expected to do in Python.
> 
> What about
> 
> def f(x: float) -> int
>   return x * 2
> 
> would that throw an error if x was, say, a str? I think float -> c
> double but int -> python object will be surprising. I also worry a bit
> about x: float being enforced but x: List[float] not being so.
> 
>> I also considered if distinguishing between .py and .pyx files would make
>> sense here, but adapting the type interpretation to that felt much worse
>> than the above,
> 
> Agreed, -1 to doing this.
> 
>> which is at least consistent regarding the typing scheme
>> that you use.
>>
>> I think this type interpretation is a reasonable, use case driven
>> difference to make. Thus my question if we should extend this to the
>> exception declaration.
> 
> I suppose you've already made a case for deviating...
> 
> I guess I think it'd be nice to change the default universally, but
> that's perhaps a bigger conversation.

What do you think of this?

https://github.com/cython/cython/pull/1865

Stefan
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