[SciPy-dev] Suppressing of numpy __mul__, __div__ etc

[Dmitrey]

I don't think the field name '__do_not_treat_as_scalar__ ' is a good choice. At first, it will be unclear what it is used for, at 2nd, some users / classes, that certainly are not scalars with overloaded __rdiv__ etc sometimes will prefer numpy __div__ method to be used.  
As for me, I would prefer something like '__use_self_operators = True' or '__use_numpy_operations = False' or '__involve_self_overloaded_methods__ = True'.  
I have to release FuncDesigner tomorrow (to keep my quarterly schedule) so please inform me ASAP which name do you finally choose.  
Thank you in advance, D.  
  
Dag Sverre wrote:  
  FWIW, I'd like to submit a patch to Sage for making NumPy arrays and Sage  
matrices work better together which would require this functionality. +1  
for an attribute and not a mixin, as that would allow Cython classes as  
well.  
  
Something like "__do_not_treat_as_scalar__ = True". The idea is simply to  
stop ndarray from handling the operation, and let other classes implement  
specific support for arithmetic with NumPy arrays. Which is not a slippery  
slope at all.  
  
Dag Sverre  
  
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