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OK, I understand that the overhead added by my routine is a bit much. Maybe, 
we could just go half-way? Overriding min and max for arrays, but leaving the 
axis-argument for more specialized amin and amax routines?
Am Montag, 10. Januar 2005 22:38 schrieb Andrew Straw:
> Also, we must not forget about round, sum, and abs (and any others I have
> missed). For example, abs() caught me because I use the cgkit quaternion
> type, which overrides the __abs__ method and thus fails to work properly
> with the mlab.py implementation of abs().
Look at these one by one:
* abs() already calls an __abs__() method. The clean way to extend it, would 
therefore be to give arrays such a method. This should solve the problem 
completely.
* round() does not seem to be extendable in Python. Maybe we should propose to 
change Python itself to introduce a __round__ method? That would only be 
straightforward.
* min, max and sum are all based on iterating over a sequence. Maybe, one 
should again have __min__, __max__ and __sum__ which should then be checked 
by the builtin before falling back to iterating over the sequence? I could 
imagine many kinds of containers that could optimize these operations. So 
this would again be a detail that should be changed in Python itself. If the 
builtin min() function would then also pass on keyword arguments, that would 
solve our problem completely and thoroughly.
Does anybody have experience with discussions in the Python forum to estimate 
how realistic such a PEP would be?
Ciao,
Norbert
-- 
_________________________________________Norbert Nemec
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