On Fr, 2016-03-04 at 21:20 +0000, Pauli Virtanen wrote:
Thu, 11 Feb 2016 00:02:52 +0100, Ralf Gommers kirjoitti: [clip]
OK first version: https://github.com/scipy/scipy/wiki/GSoC-2016-project-ideas I kept some of the ideas from last year, but removed all potential mentors as the same people may not be available this year - please re-add yourselves where needed.
And to everyone who has a good idea, and preferably is willing to mentor for that idea: please add it to that page.
I probably don't have bandwidth for mentoring, but as the Numpy suggestions seem to be mostly "hard" problems, we can add another one:
## Dealing with overlapping input/output data
Numpy operations where output arrays overlap with input arrays can produce unexpected results. A simple example is ``` x = np.arange(100*100).reshape(100,100) x += x.T # <- undefined result! ``` The task is to change Numpy so that the results here become similar to as if the input arrays overlapping with output were separate (here: `x += x.T.copy()`). The challenge here lies in doing this without sacrificing too much performance or memory efficiency.
Initial steps toward solving this problem were taken in https://github.com/numpy/numpy/pull/6166 where a simplest available algorithm for detecting if arrays overlap was added. However, this is not yet utilized in ufuncs. An initial attempt to sketch what should be done is at https://github.com/numpy/numpy/issues/6272 and issues referenced therein.
Since I like the idea, I copy pasted it into the GSoC project ideas wiki. - Sebastian
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