[Cython] Optimising dict manipulation in extension types

[tav]

Whilst I'm at it, is there any advantage into turning the various
lists into C arrays? I won't be accessing them from Python and thus
was wondering if it would also be possible to speed up the
__getattribute__ implementation in Namespace? Thanks!

Do you guys hang out on IRC at all?

On Sun, Nov 9, 2008 at 3:56 AM, tav <tav at espians.com> wrote:
> Hey all,
>
> Apologies if this is the wrong list to post to -- I couldn't find a
> cython-users list...
>
> I've been using Cython to speed up instantiation of a Namespace object
> written in Python: http://paste.lisp.org/display/69989
>
> Fundamentally, what I am trying to do is:
>
> class Namespace:
>  def __init__(self, **env):
>    global id, store
>    id += 1
>    keys = store[id] = sorted(env)
>    new_env = []
>    for key in keys:
>        obj = env[key]
>        if PyFunction_Check(obj):
>            obj = staticmethod(obj)
>        new_env.append(obj)
>    self.env = new_env
>
> The sort() and looping (for key in keys) seems to take up most of the
> time... how can I do this better so that it takes less time?
>
> The Cython version so far is at http://paste.lisp.org/display/69988
>
> Please forgive my Cython newbie errors... Thanks!
>
> --
> love, tav
>
> plex:espians/tav | tav at espians.com | +44 (0) 7809 569 369
>



-- 
love, tav

plex:espians/tav | tav at espians.com | +44 (0) 7809 569 369