[Numpy-discussion] Dealing with types in extension modules
Travis E. Oliphant
Wed Sep 10 21:21:20 CDT 2008
Lane Brooks wrote:
> When writing an numpy extension module, what is the preferred way to
> deal with the all the possible types an ndarray can have?
> I have some data processing functions I need to implement and they need
> to be generic and work for all the possible numerical dtypes. I do not
> want to have to re-implement the same C-code for all the possible types,
> so the way I approached it was to use a C++ template function to
> implement the processing. Then I have a dispatching function that
> checks the type of the input ndarray and calls the correct template. Is
> there a better way?
You could store the functions in an array of function pointers and
look-up the correct one using the typenum:
with resize_funcs filled appropriately.
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