[Numpy-discussion] parallel loop annotations
Wed Jun 18 18:43:49 CDT 2008
Thanks for pointing them out. I will look into both of them. I like
the "with" statement. From an implementation perspective, the "with"
statement looks simpler since the Python parser seems to discard
comments and I use the Python parser as front end for compiler.
For other annotations, I have been using either decorators or strings.
Decorators are used for type annotating functions. Strings just before
class declarations are currently necessary for telling the compiler
about fields of a class.
Strings can get a little ugly. Its better to use language features
whenever possible. I will look into ipython's notation.
More comments welcome :)
Quoting Stéfan van der Walt <email@example.com>:
> 2008/6/18 Rahul Garg <firstname.lastname@example.org>:
>> I want to add a similar annotation to Python
>> example usage :
>> "pragma parallel for"
>> for i in xrange(m): a[i] = b[i]*c[i]
>> The interpreter ignores such strings and the code will of course
>> execute serially but such strings can potentially be used by compilers.
>> Any thoughts on this? What form of annotations would you like to see?
>> Is it pythonic?
> Is the idea to have the annotations completely separated from the
> executed source? Otherwise, I'd just as well make it implicit:
> with parallel(i):
> for i in range(m):
> a[i] = b[i] * c[i]
> That is also roughly the form that Fernando implemented for IPython1,
> and is very intuitive.
> What have you been using for other annotations so far? Python itself
> supports at least one other annotation:
> # encoding: utf-8
> so maybe
> # pragma: parallel for
> could work.
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