> On Tue, Feb 14, 2012 at 6:18 AM, Ian Ozsvald <i...@ianozsvald.com> wrote:
>> Hmm, I'm not sure I see. Let's take an example:
>> def sq(a):
>>  return a*a
>> sq_int = sq(3)
>> sq_float = sq(4.5)

>> In the compiled result are you calling into the Python libs, using the
>> Python Int objects and the Python's Int multiplication? I had figured
>> you compiled all the way down to C's int types and operations, so I'd
>> figured you'd have specialised interfaces on each function for the
>> various combinations of input types.

>> Can you give me an outline of what's actually called in the above
>> example, either in Python or in pure C?

>> Ian.

> I'm sure you know this better than I, but you can look at the .cpp
> file created. In the case above, it creates the single function:

> double sq(double a) {
>    return (a*a);
> }

> and it defines the types double and ss_int for your 2 return values.

>> On 14 February 2012 06:16, Mark Dufour <mark.duf...@gmail.com> wrote:
>>> hi ian,

>>>> Am I right in saying that ShedSkin's job is to check all the possible
>>>> variants of input types to a function (e.g. it could take some int
>>>> args, or float args, or double float args) and then it produces
>>>> specialised versions of the function that match each possible input
>>>> argument combination?

>>> this is true for the type inference part, but not anymore for
>>> generated code. it used to be that shedskin would try to generate C++
>>> (class, function) templates for generic code. but because this
>>> complicated code generation quite a bit, was practically unused in
>>> shedskin/examples, and can often be easily worked around in any case,
>>> I decided to take it out in the end..

>>> fortunately the python builtins and support libs are often sufficient
>>> to build a generic datastructure/algorithm.

>>> thanks!
>>> mark.
>>> --
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>> --
>> Ian Ozsvald (A.I. researcher)
>> i...@IanOzsvald.com

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