[Numpy-discussion] NumPy re-factoring project
Fri Jun 11 03:38:28 CDT 2010
Fri, 11 Jun 2010 10:29:28 +0200, Hans Meine wrote:
> Ideally, algorithms would get wrapped in between two additional
> pre-/postprocessing steps:
> 1) Preprocessing: After broadcasting, transpose the input arrays such
> that they become C order. More specifically, sort the strides of one
> (e.g. the first/the largest) input array decreasingly, and apply the
> same transposition to the other arrays (in + out if given).
> 2) Perform the actual algorithm, producing a C-order output array.
> 3) Apply the reverse transposition to the output array.
The post/preprocessing steps are fairly easy to implement in the ufunc
The problem here was that this would result to a subtle semantic change,
as output arrays from ufuncs would no longer necessarily be in C order.
We need to explicitly to *decide* to make this change, before proceeding.
I'd say that we should simply do this, as nobody should depend on this
I think I there was some code ready to implement this shuffling. I'll try
to dig it out and implement the shuffling.
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