On Fri, Dec 12, 2014 at 6:25 AM, Jaime Fernández del Río < jaime.f...@gmail.com> wrote:
> it seems that all the functionality that has been discussed are one-liners > using nditer: do we need new functions, or better documentation? > I think there is utility to adding a new function or two (my inclination is to expose broadcast_to in the public API, but leave common_shape in strick_tricks). NumPy provides all the cools to write these in a few lines, but you need to know some very deep details of the NumPy API (nditer and strides). I don't think more documentation would make this obvious -- certainly nditer does not need a longer docstring! The best sort of documentation would be more examples. If this is a recipe that many NumPy users would use, including it in stride_tricks would also serve such an educational purpose (reading stride_tricks is how I figured out how strides work).
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