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 > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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