Easily generating efficient instances for classes
Christian Hoener zu Siederdissen
choener at tbi.univie.ac.at
Tue Mar 2 08:50:19 EST 2010
Thanks everybody for the answers.
Right now, it looks like this:
the indextype is abstracted out and I plan for Data.Ix and my own Data.FastIx (or however to call it).
As I don't plan on creating all instances myself, Neils derive package looks good -- once I
understand it completely; which I need to as I need instances of my own class. Is there a tutorial
on creating instances for own stuff, or should I go by the examples like Functor?
The code in AdaptiveTuple has one advantage: it looks easier to get started producing instances. (No
need to get to know another package).
Btw. it is a bit disappointing (for me) that Data.Ix is almost as fast as my FastIx ;-) (as in: most
people don't care about the difference)
Something else: was there a resource about library naming? otherwise it is going to be
vector-ixtables (someone a better idea?)
On 03/02/2010 02:30 PM, Neil Mitchell wrote:
> Derive generates declarations - they can be instances, classes, data
> types, functions, type synonyms etc.
> Thanks, Neil
> On Mon, Mar 1, 2010 at 10:32 AM, John Lato <jwlato at gmail.com> wrote:
>>> From: Christian H?ner zu Siederdissen
>>> I am thinking about how to easily generate instances for a class. Each
>>> instance is a tuple with 1 or more elements. In addition there is a
>>> second tuple with the same number of elements but different type. This
>>> means getting longer and longer chains of something like (...,x3*x2,x2,0).
>>> - template haskell?
>>> - CPP and macros?
>>> Consider arrays with fast access like Data.Vector, but with higher
>>> dimensionality. Basically, I want (!) to fuse when used in Data.Vector
>> (shameless plug) You may want to look at my AdaptiveTuple package,
>> which does something very similar to this. I used Template Haskell
>> because AFAIK neither generic approaches nor DrIFT/Derive will
>> generate data decls.
>> If all you need are the instances, then DrIFT or Derive would be my
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