Yes but it's still a canonical question about analysis of weakly-typed dynamic languages, since my Java friend makes separate comments about scalability when analyzing large builds - he claims 1-5m lines of code is a threshold.
>From: Kent Johnson <[EMAIL PROTECTED]> >To: Kevin Cameron <[EMAIL PROTECTED]> >CC: tutor@python.org >Subject: Re: [Tutor] Efficiency of Doxygen on Python vs C++? >Date: Thu, 16 Aug 2007 22:06:13 -0400 > >Kevin Cameron wrote: > > Stephen McInerney wrote: > >> My friend said the runtime efficiency of Doxygen on his build was much > >> worse on the Python code than the C++ code, i.e. it took ages to parse > >> the Python code. > > It's not the efficiency of doxygen that's the question. The problem is > > that you can add fields to objects as you go in Python so you need to do > > a deep analysis of the code to determine the class structure which you > > don't have to do with C++ (or Java). > >So doxygen is actually doing this deep analysis? > >Kent _________________________________________________________________ Puzzles, trivia teasers, word scrambles and more. Play for your chance to win! http://club.live.com/home.aspx?icid=CLUB_hotmailtextlink _______________________________________________ Tutor maillist - Tutor@python.org http://mail.python.org/mailman/listinfo/tutor
