Nice optimization. I'm not so sure about the naming of nconc, though. Although it is used for a similar purpose as the traditional CL nconc, I would expect anything called nconc to behave like this:
(def last-list (li)
(if (or (no li) (no (cdr li))) li
(last-list (cdr li))))
(def nconc (li . others)
"Same behavior as Common Lisp nconc."
(if (no others) li
(no li) (apply nconc others)
(do (= (cdr (last-list li)) (apply nconc others))
li)))
>> do you think this optimization is worth putting in treeparse?
Certainly. At the moment you are probably 50% of the treeparse user base, so it needs to be fast enough for your use case :)
I admit that efficiency wasn't a big thought when I first wrote treeparse (besides avoiding infinite loops -- hopefully those are gone now...). I fondly remember my CL optimization days... we've gotta make ourselves one of those nifty profilers for Arc.
It seems that 'many is the low-hanging fruit of optimization. I've since gotten an 8-paragraph lorem ipsum piece, totalling about 5k, which renders in 3-4 seconds (about around 3800msec).
Hmm. Profiler.
I'm not 100% sure but maybe the fact that nearly all the composing parsers decompose the return value of sub-parsers, then recompose the return value, might be slowing it down? Maybe have parsers accept an optional return value argument, which 'return will fill in (instead of creating its own) might reduce significantly the memory consumption (assuming it's GC which is slowing it down)?
Note that the timing will not be very accurate or particularly useful IMO, since it doesn't count recursion but does count calls to other functions. Sigh. We need a real profiler ^^
Hmm. It seems we can't squeeze much performance out of 'alt, I can't really see a way of optimizing 'alt itself, so possibly we should optimize the grammar that uses 'alt.