[Cython] CF based type inference
Vitja Makarov
vitja.makarov at gmail.com
Tue May 8 15:47:29 CEST 2012
2012/5/8 Stefan Behnel <stefan_ml at behnel.de>:
> Hi,
>
> Vitja has rebased the type inference on the control flow, so I wonder if
> this will enable us to properly infer this:
>
> def partial_validity():
> """
> >>> partial_validity()
> ('Python object', 'double', 'str object')
> """
> a = 1.0
> b = a + 2 # definitely double
> a = 'test'
> c = a + 'toast' # definitely str
> return typeof(a), typeof(b), typeof(c)
>
> I think, what is mainly needed for this is that a NameNode with an
> undeclared type should not report its own entry as dependency but that of
> its own cf_assignments. Would this work?
>
> (Haven't got the time to try it out right now, so I'm dumping it here.)
>
Yeah, that might work. The other way to go is to split entries:
def partial_validity():
"""
>>> partial_validity()
('str object', 'double', 'str object')
"""
a_1 = 1.0
b = a_1 + 2 # definitely double
a_2 = 'test'
c = a_2 + 'toast' # definitely str
return typeof(a_2), typeof(b), typeof(c)
And this should work better because it allows to infer a_1 as a double
and a_2 as a string.
--
vitja.
More information about the cython-devel
mailing list